diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml
new file mode 100644
index 0000000..89e4415
--- /dev/null
+++ b/.github/FUNDING.yml
@@ -0,0 +1,3 @@
+# These are supported funding model platforms
+
+github: chris1610
diff --git a/.gitignore b/.gitignore
index 6a6ca47..ddaf4b6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -22,7 +22,7 @@ var/
 *.egg-info/
 .installed.cfg
 *.egg
-
+.vscode/
 # PyInstaller
 #  Usually these files are written by a python script from a template
 #  before PyInstaller builds the exe, so as to inject date/other infos into it.
@@ -59,5 +59,3 @@ target/
 # Notebooks
 .ipynb_checkpoints
 
-# Keep json files out
-*.json
diff --git a/LICENSE b/LICENSE
index 82b6140..afdb005 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,4 +1,4 @@
-Copyright (c) 2015, Chris Moffitt
+Copyright (c) 2015-2019, Chris Moffitt
 All rights reserved.
 
 Redistribution and use in source and binary forms, with or without
diff --git a/Monte_Carlo_Simulationv2.ipynb b/Monte_Carlo_Simulationv2.ipynb
new file mode 100644
index 0000000..6499910
--- /dev/null
+++ b/Monte_Carlo_Simulationv2.ipynb
@@ -0,0 +1,468 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Monte Carlo Simulation with Python\n",
+    "\n",
+    "Notebook to accompany article on [Practical Business Python](https://pbpython.com/monte-carlo.html)\n",
+    "\n",
+    "Update to use numpy for faster loops based on comments [here](https://www.reddit.com/r/Python/comments/arxwkm/monte_carlo_simulation_with_python/)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sns.set_style('whitegrid')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define the variables for the Percent to target based on historical results\n",
+    "avg = 1\n",
+    "std_dev = .1\n",
+    "num_reps = 500\n",
+    "num_simulations = 100000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Show an example of calculating the percent to target\n",
+    "pct_to_target = np.random.normal(\n",
+    "    avg,\n",
+    "    std_dev,\n",
+    "    size=(num_reps, num_simulations)\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0.79328531, 0.99211018, 1.14343423, ..., 0.83737887, 0.93507967,\n",
+       "        0.86079851],\n",
+       "       [1.03126742, 1.04414961, 1.08119495, ..., 0.98607625, 1.01161899,\n",
+       "        0.96872644],\n",
+       "       [1.08616345, 0.93970666, 1.07594111, ..., 0.94057821, 1.00399945,\n",
+       "        1.05325946],\n",
+       "       ...,\n",
+       "       [1.10388204, 0.90397305, 0.96005999, ..., 0.88810244, 1.18064642,\n",
+       "        0.94066897],\n",
+       "       [1.07581302, 0.92552317, 1.08256074, ..., 0.91934988, 1.06668758,\n",
+       "        1.05969099],\n",
+       "       [1.12755095, 0.95080038, 0.978849  , ..., 1.0094155 , 0.94359533,\n",
+       "        1.06332923]])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pct_to_target[0:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Another example for the sales target distribution\n",
+    "sales_target_values = [75_000, 100_000, 200_000, 300_000, 400_000, 500_000]\n",
+    "sales_target_prob = [.3, .3, .2, .1, .05, .05]\n",
+    "sales_target = np.random.choice(sales_target_values, p=sales_target_prob, \n",
+    "                                size=(num_reps, num_simulations))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 75000, 200000,  75000, ...,  75000, 100000, 200000],\n",
+       "       [200000,  75000, 100000, ..., 200000, 100000, 100000],\n",
+       "       [400000,  75000, 100000, ..., 500000, 200000,  75000],\n",
+       "       ...,\n",
+       "       [500000,  75000, 500000, ...,  75000,  75000,  75000],\n",
+       "       [ 75000, 100000,  75000, ...,  75000, 500000, 100000],\n",
+       "       [100000,  75000,  75000, ..., 100000, 100000,  75000]])"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sales_target[0:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "commission_percentages = np.take(\n",
+    "    np.array([0.04, 0.03, 0.02]),\n",
+    "    np.digitize(pct_to_target, bins=[.9, .99, 10])\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2    26992625\n",
+       "1    15075317\n",
+       "0     7932058\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.DataFrame(np.digitize(pct_to_target, bins=[.9, .99, 10]).flatten()).value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.02    26992625\n",
+       "0.03    15075317\n",
+       "0.04     7932058\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# frequencies\n",
+    "pd.DataFrame(commission_percentages.flatten()).value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0.04, 0.02, 0.02, ..., 0.04, 0.03, 0.04],\n",
+       "       [0.02, 0.02, 0.02, ..., 0.03, 0.02, 0.03],\n",
+       "       [0.02, 0.03, 0.02, ..., 0.03, 0.02, 0.02],\n",
+       "       ...,\n",
+       "       [0.02, 0.03, 0.03, ..., 0.04, 0.02, 0.03],\n",
+       "       [0.02, 0.03, 0.02, ..., 0.03, 0.02, 0.02],\n",
+       "       [0.02, 0.03, 0.03, ..., 0.02, 0.03, 0.02]])"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "commission_percentages[0:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total_commissions = (commission_percentages * sales_target).sum(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "96546.42131435724"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "total_commissions.std()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Total_Commissions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2838250.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2786750.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2795500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3054750.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2831750.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Total_Commissions\n",
+       "0          2838250.0\n",
+       "1          2786750.0\n",
+       "2          2795500.0\n",
+       "3          3054750.0\n",
+       "4          2831750.0"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Show how to create the dataframe\n",
+    "df = pd.DataFrame(data={'Total_Commissions': total_commissions})\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:title={'center':'Commissions Distribution'}, ylabel='Frequency'>"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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Qv359HnvsMaKjoyksLKR58+Z06NCBffv2XTLvorWbbt26cfvtt9OyZUtP+VwLi2Gmjm9Q5XXxkxvxIisVxRszefPRUxX1epW2XG/8PSVvzATen+ty73VJ77/WNETkpjdlyhTP/oiLLV26lEqVKlVAohuXSkNELsswjJvm96emTJlS0RG80h/Z0KSjp0TkEpUqVeLUqVN/6EtFbgyGYXDq1KmrXtPSmoaIXKJatWpkZWWRnZ192fvz8/Ov6sI95cEbM4F35yo6JPhqlElpFBQUkJCQwMGDB7FarcyaNQvDMIiPj8disVCvXj0mT56Mj48PKSkpnhNVhg4dSrt27cjLy2Ps2LGcOnWKwMBA5syZQ3BwMLt372bGjBlYrVYiIiIYNmxYWcQXueXZbLYSL8zjjQc0eGMm8O5cV3PxpSJlsnmq6AzF5ORkRowYwaxZs5g1axYjR45k5cqVGIbB5s2byc7OZvny5SQnJ7Ns2TIWLFiA2+0mKSmJ0NBQVq5cSffu3UlMTARg8uTJzJ8/n6SkJPbs2UN6enpZxBcRkSsokzWNDh060LZtWwCOHj1KlSpV+Ne//kWLFi2A335867PPPsPHx4emTZvi5+eHn58fISEh7Nu3j7S0NJ599lnP2MTERJxOJ263m5CQEAAiIiJITU0t8bhpl8tVLtfmzcvL88prAHtjLm/LVNH/AizttfC216uIN+byxkxw8+Uqs30avr6+xMXFsXHjRhYuXMjWrVs9R2IEBgaSk5OD0+nE4XB4HhMYGIjT6Sw2/eKxdru92Njf/4zA7/n7++s8DS/L5Y2ZKlJpr4W3vl7emMsbM8GNmaukMinTo6fmzJnDxx9/zMSJE4v95kpubi5BQUHY7XZyc3OLTXc4HMWmlzQ2KCioLOOLiMjvlElprFu3jtdeew347bKQFouFRo0asXPnTuC3C4qEh4cTFhZGWloaLpeLnJwcMjMzCQ0NpVmzZp7fkNm+fTvNmzfHbrdjs9k4dOgQhmGwY8cOwsPDyyK+iIhcQZlsnnr00UcZN24cTz75JBcuXGD8+PHUqVOHiRMnsmDBAmrXrk1kZCRWq5XY2FhiYmIwDINRo0bh7+9PdHQ0cXFxREdHY7PZmD9/PgBTp05lzJgxFBQUEBERQePGjcsivoiIXEGZlMZtt9122QugrFix4pJpUVFRREVFFZsWEBBwyWUdAZo0aUJKSsr1CyoiIldFZ4SLiIhpKg0RETFNpSEiIqapNERExDSVhoiImKbSEBER01QaIiJimkpDRERMU2mIiIhpKg0RETFNpSEiIqapNERExDSVhoiImKbSEBER01QaIiJimkpDRERMU2mIiIhpKg0RETFNpSEiIqapNERExDSVhoiImKbSEBER01QaIiJimkpDRERM873eM8zPz2f8+PEcOXIEt9vN0KFDueeeexgyZAg1a9YEIDo6mscff5yUlBSSk5Px9fVl6NChtGvXjry8PMaOHcupU6cIDAxkzpw5BAcHs3v3bmbMmIHVaiUiIoJhw4Zd7+giIlKK614a69evp3LlysydO5czZ87Qo0cP/vM//5OBAwcyaNAgz7js7GyWL1/OmjVrcLlcxMTE0LJlS5KSkggNDWX48OFs2LCBxMREEhISmDx5MosWLaJ69eo899xzpKen07Bhw+sdX0RESnDdS6NTp05ERkZ6blutVr799lsOHjzI5s2bqVGjBuPHj2fv3r00bdoUPz8//Pz8CAkJYd++faSlpfHss88C0Lp1axITE3E6nbjdbkJCQgCIiIggNTW11NJwuVxkZGRc76d4iby8vHJZztXyxlzelqlBgwYVuvzSXgtve72KeGMub8wEN1+u614agYGBADidTkaMGMHIkSNxu9306dOHRo0asXjxYl555RXuv/9+HA5Hscc5nU6cTqdnemBgIDk5OTidTux2e7Gxhw8fLjWLv79/uXwpZGRkVPiXz+V4Yy5vzFSRSnstvPX18sZc3pgJbsxcJZVJmewIP3bsGE899RTdunWja9eudOzYkUaNGgHQsWNHvvvuO+x2O7m5uZ7H5Obm4nA4ik3Pzc0lKCjosmODgoLKIrqIiJTgupfGyZMnGTRoEGPHjqV3794APPPMM+zduxfAs1kpLCyMtLQ0XC4XOTk5ZGZmEhoaSrNmzdi2bRsA27dvp3nz5tjtdmw2G4cOHcIwDHbs2EF4ePj1ji4iIqW47punXn31Vc6ePUtiYiKJiYkAxMfHM3PmTGw2G1WqVGHatGnY7XZiY2OJiYnBMAxGjRqFv78/0dHRxMXFER0djc1mY/78+QBMnTqVMWPGUFBQQEREBI0bN77e0aUC5eUXUMlmregYIlKK614aCQkJJCQkXDI9OTn5kmlRUVFERUUVmxYQEMDChQsvGdukSRNSUlKuX1DxKpVsVmrGbyj35f40u3O5L1PkRqaT+0RExDSVhoiImKbSEBER01QaIiJimkpDRERMU2mIiIhpKg0RETFNpSEiIqapNERExDSVhoiImKbSEBER01QaIiJimkpDRERMU2mIiIhpKg2RCpKXX1DqmLK4TKiZ5YpcyXW/noaImKNriMiNSGsaIiJimkpDRERMU2mIiIhpKg0RETFNpSEiIqapNERExDSVhoiImKbSEBER0677yX35+fmMHz+eI0eO4Ha7GTp0KHXr1iU+Ph6LxUK9evWYPHkyPj4+pKSkkJycjK+vL0OHDqVdu3bk5eUxduxYTp06RWBgIHPmzCE4OJjdu3czY8YMrFYrERERDBs27HpHFxGRUpha0zh58qTpGa5fv57KlSuzcuVKli5dyrRp05g1axYjR45k5cqVGIbB5s2byc7OZvny5SQnJ7Ns2TIWLFiA2+0mKSmJ0NBQVq5cSffu3UlMTARg8uTJzJ8/n6SkJPbs2UN6evofe8YiIvKHmVrTGD58OMHBwfTu3Zs2bdrg43PlrunUqRORkZGe21arlfT0dFq0aAFA69at+eyzz/Dx8aFp06b4+fnh5+dHSEgI+/btIy0tjWeffdYzNjExEafTidvtJiQkBICIiAhSU1Np2LBhibldLhcZGRlmnuI1ycvLK5flXC1vzHWlTGXxG0tyZdf6ubiRPlsV7WbLZao0kpKSyMzMZPXq1SxevJiHHnqI3r17U7169UvGBgYGAuB0OhkxYgQjR45kzpw5WCwWz/05OTk4nU4cDkexxzmdzmLTLx5rt9uLjT18+HCpuf39/cvlyygjI8Mrv/S8MZc3ZroVXet74I3vozdmghszV0llYnpH+N1330316tWpVKkSBw4cYMaMGfzjH/+47Nhjx47x1FNP0a1bN7p27VpszSQ3N5egoCDsdju5ubnFpjscjmLTSxobFBRkNrqIiFwnpkrjr3/9K3379uXs2bPMnTuXxYsX8+qrr7Jt27ZLxp48eZJBgwYxduxYevfuDcADDzzAzp07Adi+fTvh4eGEhYWRlpaGy+UiJyeHzMxMQkNDadasmWe+27dvp3nz5tjtdmw2G4cOHcIwDHbs2EF4ePj1eg1ERMQkU5unoqKiaNKkCYGBgZw4ccIzPSkp6ZKxr776KmfPniUxMdGzE3vChAlMnz6dBQsWULt2bSIjI7FarcTGxhITE4NhGIwaNQp/f3+io6OJi4sjOjoam83G/PnzAZg6dSpjxoyhoKCAiIgIGjdufD2ev4iIXAVTpfH111/z6aefEh8fz/Tp02nUqBHPPfcc/v7+l4xNSEggISHhkukrVqy4ZFpUVBRRUVHFpgUEBLBw4cJLxjZp0oSUlBQzcUVEpIyY2jy1ZcsW4uPjAVi4cCFbtmwp01AiIuKdTJWGxWLB7XYDv528ZxhGmYYSERHvZGrzVL9+/ejatSuhoaH8+OOPnvMoRETk1mKqNPr06cMjjzzC4cOHqV69OsHBwWWdS0REvJCp0sjIyGDVqlW4XC7PtFmzZpVZKBER8U6mSiM+Pp7+/ftzzz33lHUeERHxYqZKo0qVKvTp06ess4iIiJczVRr33XcfS5YsoUGDBp7fkIqIiCjTYCIi4n1MlUZ+fj4HDx7k4MGDnmkqDRGRW4+p0pg1axYHDx7k0KFD1K9fn7vvvrusc4mIiBcyVRorVqxg48aN/Prrr/To0YOff/6ZSZMmlXU2ERHxMqbOCN+wYQP//d//jcPh4Omnn2bPnj1lnUtERLyQqdIo+tmQop3gfn5+ZZdIRES8lqnNU126dOHJJ5/k6NGjDB48mA4dOpR1LhER8UKmSqN///489NBDHDhwgFq1anH//feXdS4REfFCpkrj5Zdf9vydmZnJpk2bGDZsWJmFEhER72T6jHD4bd/Gd999R2FhYZmGEhER72T6p9Evpp9GFxG5NZkqjYvPBM/OzubYsWNlFkhERLyXqdK4+EQ+f39//va3v5VZIBER8V6mSmP58uVlnUNERG4ApkrjiSeeIDc3F39/f8+FmAzDwGKxsHnz5jINKCIi3sNUaTRt2pTu3bvTtGlT9u/fz7Jly5g+fXpZZxMRES9jqjQyMzNp2rQpAPXr1+fYsWP6KRERkVuQqd+ecjgc/Nd//Rdbtmxh7ty53HvvvaU+Zs+ePcTGxgKQnp5Oq1atiI2NJTY2lg8++ACAlJQUevbsSVRUFFu3bgUgLy+P4cOHExMTw+DBgzl9+jQAu3fvpk+fPvTr16/YyYYiIlJ+TK1pzJ8/n5UrV/Lpp59Sv359Ro0aVeL4pUuXsn79egICAgD47rvvGDhwIIMGDfKMyc7OZvny5axZswaXy0VMTAwtW7YkKSmJ0NBQhg8fzoYNG0hMTCQhIYHJkyezaNEiqlevznPPPUd6ejoNGza8hqcuIiJXy9Sahr+/P7fffjt33HEHtWrV4uzZsyWODwkJYdGiRZ7b3377Lf/617948sknGT9+PE6nk71799K0aVP8/PxwOByEhISwb98+0tLSaNWqFQCtW7cmNTUVp9OJ2+0mJCQEi8VCREQEqamp1/C0RUTkjzB9nsbdd9/N559/TqNGjYiLi2Pp0qVXHB8ZGUlWVpbndlhYGH369KFRo0YsXryYV155hfvvvx+Hw+EZExgYiNPpxOl0eqYHBgaSk5OD0+nEbrcXG3v48OFSc7tcLjIyMsw8xWuSl5dXLsu5Wt6Y60qZGjRoUAFpbl3X+rm4kT5bFe1my2WqNA4dOsSMGTPYtWsX7du3Z8mSJVe1kI4dOxIUFOT5e9q0aYSHh5Obm+sZk5ubi8PhwG63e6bn5uYSFBRUbNrF00vj7+9fLl9GGRkZXvml5425vDHTreha3wNvfB+9MRPcmLlKKhNTm6cKCgo4ffo0FosFp9OJj4+ph3k888wz7N27F4DU1FQaNmxIWFgYaWlpuFwucnJyyMzMJDQ0lGbNmrFt2zYAtm/fTvPmzbHb7dhsNg4dOoRhGOzYsYPw8PCryiAiItfO1JrGqFGjiI6OJjs7m759+zJhwoSrWsiUKVOYNm0aNpuNKlWqMG3aNOx2O7GxscTExGAYBqNGjcLf35/o6Gji4uKIjo7GZrMxf/58AKZOncqYMWMoKCggIiKCxo0bX/2zFRGRa2KqNI4dO8bHH3/M6dOnueOOOzyXfS1JtWrVSElJAaBhw4YkJydfMiYqKoqoqKhi0wICAli4cOElY5s0aeKZn4iIVAxT25mKvqyDg4NNFYaIiNycTK1puN1uunfvTq1atTz7M4o2G4mIyK2jxNJITEzk+eefZ8yYMRw/fpyqVauWVy4REfFCJW6e+uKLLwBo0aIF77zzDi1atPD8JyIit54SS8MwjMv+LSIit6YSS+Pind7aAS4iIiXu00hPT6dfv34YhsEPP/zg+dtisVz2EFoREbm5lVga69evL68cIiJyAyixNO67777yyiEiIjeAq/sRKRERuaWpNERExDSVhoiImKbSEBER01QaIiJimkpDRERMU2mIiIhpKg0RETFNpSEiIqapNERExDSVhoiImKbSEBER01QaIiJimkpDRERMU2mIiIhpZVYae/bsITY2FoCff/6Z6OhoYmJimDx5MoWFhQCkpKTQs2dPoqKi2Lp1KwB5eXkMHz6cmJgYBg8ezOnTpwHYvXs3ffr0oV+/frz88stlFVtEREpQJqWxdOlSEhIScLlcAMyaNYuRI0eycuVKDMNg8+bNZGdns3z5cpKTk1m2bBkLFizA7XaTlJREaGgoK1eupHv37iQmJgIwefJk5s+fT1JSEnv27CE9Pb0soouISAnKpDRCQkJYtGiR53Z6ejotWrQAoHXr1nz++efs3buXpk2b4ufnh8PhICQkhH379pGWlkarVq08Y1NTU3E6nbjdbkJCQrBYLERERJCamloW0UVEpAQlXu71j4qMjCQrK8tz2zAMLBYLAIGBgeTk5OB0OnE4HJ4xgYGBOJ3OYtMvHmu324uNPXz4cKk5XC4XGRkZ1+tpXVFeXl65LOdqeWOuK2Vq0KBBBaS5dV3r5+JG+mxVtJstV5mUxu/5+Pz/Ck1ubi5BQUHY7XZyc3OLTXc4HMWmlzQ2KCio1OX6+/uXy5dRRkaGV37peWMub8x0K7rW98Ab30dvzAQ3Zq6SyqRcjp564IEH2LlzJwDbt28nPDycsLAw0tLScLlc5OTkkJmZSWhoKM2aNWPbtm2esc2bN8dut2Oz2Th06BCGYbBjxw7Cw8PLI7qIiFykXNY04uLimDhxIgsWLKB27dpERkZitVqJjY0lJiYGwzAYNWoU/v7+REdHExcXR3R0NDabjfnz5wMwdepUxowZQ0FBARERETRu3Lg8oouIyEXKrDSqVatGSkoKALVq1WLFihWXjImKiiIqKqrYtICAABYuXHjJ2CZNmnjmJ2UjL7+ASjZrmS7DG1fTRcS8clnTkBtDJZuVmvEbKmTZP83uXCHLFZGrozPCRUTENJWGiIiYptIQERHTVBoiImKaSkNERExTaYjcYvLyC655Hn/00OnrsWypWDrkVuQWo0Or5VpoTUNERExTaYiIiGkqDRERMU2lISIipqk0RETENJWGiIiYptIQERHTVBoiImKaSkNERExTaYiIiGkqDRERMU2lISIipqk0RETENJWGiIiYptIQERHTVBoiImJauV6EqXv37jgcDgCqVavGkCFDiI+Px2KxUK9ePSZPnoyPjw8pKSkkJyfj6+vL0KFDadeuHXl5eYwdO5ZTp04RGBjInDlzCA4OLs/4IiK3vHIrDZfLBcDy5cs904YMGcLIkSN58MEHmTRpEps3b6ZJkyYsX76cNWvW4HK5iImJoWXLliQlJREaGsrw4cPZsGEDiYmJJCQklFd8ERGhHDdP7du3j/PnzzNo0CCeeuopdu/eTXp6Oi1atACgdevWfP755+zdu5emTZvi5+eHw+EgJCSEffv2kZaWRqtWrTxjU1NTyyu6iIj8n3Jb06hUqRLPPPMMffr04aeffmLw4MEYhoHFYgEgMDCQnJwcnE6nZxNW0XSn01lsetHY0rhcLjIyMsrmCV0kLy+vXJZzta42V4MGDcowjchvyur/lZvl/8Py8kdzlVtp1KpVixo1amCxWKhVqxaVK1cmPT3dc39ubi5BQUHY7XZyc3OLTXc4HMWmF40tjb+/f7l8EWZkZHjlF6635pJbW1l9Jr31834j5iqpTMpt89Tq1auZPXs2AMePH8fpdNKyZUt27twJwPbt2wkPDycsLIy0tDRcLhc5OTlkZmYSGhpKs2bN2LZtm2ds8+bNyyu6iIj8n3Jb0+jduzfjxo0jOjoai8XCzJkzueOOO5g4cSILFiygdu3aREZGYrVaiY2NJSYmBsMwGDVqFP7+/kRHRxMXF0d0dDQ2m4358+eXV3QREfk/5VYafn5+l/2iX7FixSXToqKiiIqKKjYtICCAhQsXllk+EREpnU7uExER01QaIiJimkpDRERMU2mIiIhpKg0RETFNpSEiIqapNERExDSVhoiImKbSEBER01QaIiJimkpDRERMU2mIiIhpKg0RETFNpSEiIqapNERExDSVhoiImKbS8EJ5+QXXZT7eeF1iubVdr8/25ZT0eS/L5d5qyu3KfWJeJZuVmvEbyn25P83uXO7LlFuLPts3Pq1piIiIaSoNERExTaUhIiKmqTRERMQ0lYaIiJim0hAREdNuqENuCwsLmTJlCvv378fPz4/p06dTo0aNio4lInLLuKHWNDZt2oTb7WbVqlWMHj2a2bNnV3QkEZFbyg1VGmlpabRq1QqAJk2a8O2335bp8syeRaozr0W8W0WdEX4znoluMQzDqOgQZk2YMIFHH32UNm3aANC2bVs2bdqEr+/lt7Lt3r0bf3//8owoInLDc7lcNGnS5LL33VD7NOx2O7m5uZ7bhYWFVywM4IpPWkRE/pgbavNUs2bN2L59O/DbWkRoaGgFJxIRubXcUJunio6eOnDgAIZhMHPmTOrUqVPRsUREbhk3VGmIiEjFuqE2T4mISMVSaYiIiGkqDRERMe2GOuS2IuXn5zN+/HiOHDmC2+1m6NChPPLII57733zzTVavXk1wcDAAU6dOpXbt2hWea+/evcyePRvDMLjrrruYO3duuZy7UlKu7OxsXnjhBc/YjIwMRo8eTXR0dIVlAli/fj1vvvkmPj4+9OrVi5iYmDLNYzbXunXrWLZsGQ6Hgx49etCnT59yyVVQUEBCQgIHDx7EarUya9YsQkJCPPdv2bKFV155BV9fX3r16kVUVJRX5AI4f/48AwcOZMaMGeV2sExpud5//33eeustrFYroaGhTJkyBR+fsv13e2mZPv74Y5YsWYLFYqFv377mPluGmLJ69Wpj+vTphmEYxunTp402bdoUu3/06NHGN99841W5CgsLjSeeeML46aefDMMwjJSUFCMzM7PCc13sq6++MmJjY40LFy5UeKaWLVsaZ86cMVwul9GhQwfj3//+d5lnKi3XqVOnjLZt2xpnzpwxCgoKjNjYWOPw4cPlkmvjxo1GfHy8YRiG8cUXXxhDhgzx3Od2uz2vkcvlMnr27GmcOHGiwnMZhmHs3bvX6NGjh/Hwww8bP/zwQ7lkKi3X+fPnjUceecQ4d+6cYRiGMWrUKGPTpk0VmunChQtGx44djbNnzxoXLlwwHn30UePUqVOlzlNrGiZ16tSJyMhIz22r1Vrs/vT0dJYsWUJ2djZt27blL3/5S4XnOnjwIJUrV+att97iwIEDtGnTplzWfkrLVcQwDKZNm8a8efMue395Z6pfvz45OTn4+vpiGAYWi6XMM5WWKysri/vvv5/KlSsD8Kc//Yk9e/ZQrVq1Ms/VoUMH2rZtC8DRo0epUqWK577MzExCQkK4/fbbAWjevDm7du3iscceq9BcAG63m1deeYW//e1vZZ7FbC4/Pz+Sk5MJCAgA4MKFC+Wyxl9SJqvVygcffICvry+nTp0CIDAwsNR5qjRMKnoxnU4nI0aMYOTIkcXu79y5MzExMdjtdoYNG8bWrVtp165dheY6c+YMX3/9NRMnTqRGjRoMGTKERo0a8dBDD1VoriJbtmyhXr165VZkpWWqV68evXr1IiAggI4dOxIUFFThuWrUqMEPP/zAyZMnCQwMJDU1lZo1a5ZLLgBfX1/i4uLYuHEjCxcu9Ex3Op04HA7P7cDAQJxOZ4Xngt8KrKJcKZePj4/nC3v58uWcO3eOli1bVmimovs++eQTXnzxRdq0aVPiL2x4lNFa0U3p6NGjRo8ePYx33nmn2PTCwkLj7NmzntsrVqwwXn755QrP9cMPPxhdunTx3H7zzTeNJUuWVHiuIiNGjDB27dpVbnlKypSRkWFERkZ6VtVHjRplfPDBBxWeyzAMY/PmzUa/fv2MkSNHGgkJCcbGjRvLLVeREydOGG3btjVyc3MNw/jt9Xr22Wc998+YMcP48MMPKzzXxfr371+um6cudrlcBQUFxuzZs42//OUvns1UFZ3p4mxjx441Vq9eXep8dPSUSSdPnmTQoEGMHTuW3r17F7vP6XTSpUsXcnNzMQyDnTt30qhRowrPVb16dXJzc/n5558B2LVrF/Xq1avwXEXS09Np1qxZueQpLZPD4aBSpUr4+/tjtVoJDg7m7NmzFZ7rwoUL7Nmzh7fffps5c+bw448/lttrtm7dOl577TUAAgICsFgsnk1nderU4eeff+bf//43brebXbt20bRp0wrPVZFKyzVp0iRcLheJiYmezVQVmcnpdNK/f3/cbjc+Pj4EBASY2jGvM8JNmj59Oh9++GGxTSl9+vTh/Pnz9O3bl3Xr1rF8+XL8/Px46KGHGDFihFfkSk1NZf78+RiGQdOmTUlISPCKXKdPn2bgwIG899575ZLHTKakpCTWrFmDzWYjJCSEadOm4efnV+G5Xn75ZTZt2oS/vz8DBw6kU6dOZZ4J4Ny5c4wbN46TJ09y4cIFBg8ezPnz5zl37hx9+/b1HD1lGAa9evXiySef9IpcRWJjY5kyZUq5HT1VUq5GjRrRq1cvwsPDPfvKnnrqKTp27Fhhmfr27cuqVatYvXo1vr6+1K9fn4kTJ5ZawCoNERExTZunRETENJWGiIiYptIQERHTVBoiImKaSkNE5Ca0Z88eYmNjSxyzdu1a+vTpQ8+ePXnllVdMzVdnhIuI3GSWLl3K+vXrSzwf5NChQyQlJXlOFVi4cCH5+fnYbLYS5601DRGRm0xISAiLFi3y3N6/fz+xsbHExsYyfPhwcnJy+Pzzz2nUqBFxcXH079+fZs2alVoYoDUNEZGbTmRkJFlZWZ7bEydOZObMmdStW5d33nmH119/nUqVKrFr1y6SkpJwuVxER0ezevXqUn9zTaUhInKTy8zMZOrUqcBv12+pVasWYWFhtGjRArvdjt1up06dOvz000+EhYWVOC+VhojITa5WrVrMmTOHe++9l7S0NLKzs6lVqxYrV67E5XJRUFDg+bn70qg0RERuclOmTCEuLo6CggIAZsyYQa1atejVqxfR0dEYhsHzzz/vuW5LSfTbUyIiYpqOnhIREdNUGiIiYppKQ0RETFNpiIiIaSoNERExTaUhIiKmqTRERMS0/wVf3ZYTm53/1wAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.plot(kind='hist', title='Commissions Distribution')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Total_Commissions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1.000000e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>2.831683e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>9.654690e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>2.472750e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>2.765750e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>2.830250e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.896500e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>3.278500e+06</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Total_Commissions\n",
+       "count       1.000000e+05\n",
+       "mean        2.831683e+06\n",
+       "std         9.654690e+04\n",
+       "min         2.472750e+06\n",
+       "25%         2.765750e+06\n",
+       "50%         2.830250e+06\n",
+       "75%         2.896500e+06\n",
+       "max         3.278500e+06"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/README.md b/README.md
index 028b4dd..e47c66a 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,3 @@
 # Practical Business Python
 
-This repository contains, code, notebooks and examples from http://pbpython.com
+This repository contains, code, notebooks and examples from https://pbpython.com
diff --git a/code/bullet_graph.py b/code/bullet_graph.py
new file mode 100644
index 0000000..88139a7
--- /dev/null
+++ b/code/bullet_graph.py
@@ -0,0 +1,108 @@
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+
+def bulletgraph(data=None, limits=None, labels=None, axis_label=None, title=None,
+                size=(5, 3), palette=None, target_color="gray", bar_color="black",
+                label_color="gray", formatter=None):
+    """ Build out a bullet graph image
+        Args:
+            data = List of labels, measures and targets
+            limits = list of range valules
+            labels = list of descriptions of the limit ranges
+            axis_label = string describing x axis
+            title = string title of plot
+            size = tuple for plot size
+            palette = a seaborn palette
+            target_color = color string for the target line
+            bar_color = color string for the small bar
+            label_color = color string for the limit label text
+            formatter = matplotlib formatter object for x axis
+        Returns:
+            a matplotlib figure
+    """
+    # Determine the max value for adjusting the bar height
+    # Dividing by 10 seems to work pretty well
+    h = limits[-1] / 10
+
+    # Use the green palette as a sensible default
+    if palette is None:
+        palette = sns.light_palette("green", len(limits), reverse=False)
+
+    # Must be able to handle one or many data sets via multiple subplots
+    if len(data) == 1:
+        fig, ax = plt.subplots(figsize=size, sharex=True)
+    else:
+        fig, axarr = plt.subplots(len(data), figsize=size, sharex=True)
+
+    # Add each bullet graph bar to a subplot
+    for idx, item in enumerate(data):
+
+        # Get the axis from the array of axes returned when the plot is created
+        if len(data) > 1:
+            ax = axarr[idx]
+
+        # Formatting to get rid of extra marking clutter
+        ax.set_aspect('equal')
+        ax.set_yticklabels([item[0]])
+        ax.set_yticks([1])
+        ax.spines['bottom'].set_visible(False)
+        ax.spines['top'].set_visible(False)
+        ax.spines['right'].set_visible(False)
+        ax.spines['left'].set_visible(False)
+
+        prev_limit = 0
+        for idx2, lim in enumerate(limits):
+            # Draw the bar
+            ax.barh([1], lim - prev_limit, left=prev_limit, height=h,
+                    color=palette[idx2])
+            prev_limit = lim
+        rects = ax.patches
+        # The last item in the list is the value we're measuring
+        # Draw the value we're measuring
+        ax.barh([1], item[1], height=(h / 3), color=bar_color)
+
+        # Need the ymin and max in order to make sure the target marker
+        # fits
+        ymin, ymax = ax.get_ylim()
+        ax.vlines(
+            item[2], ymin * .9, ymax * .9, linewidth=1.5, color=target_color)
+
+    # Now make some labels
+    if labels is not None:
+        for rect, label in zip(rects, labels):
+            height = rect.get_height()
+            ax.text(
+                rect.get_x() + rect.get_width() / 2,
+                -height * .4,
+                label,
+                ha='center',
+                va='bottom',
+                color=label_color)
+    if axis_label:
+        ax.set_xlabel(axis_label)
+    if formatter:
+        ax.xaxis.set_major_formatter(formatter)
+    if title:
+        fig.suptitle(title, fontsize=14)
+    fig.subplots_adjust(hspace=0)
+    return fig
+
+
+if __name__ == "__main__":
+
+    data_to_plot = [("John Smith", 105, 120), ("Jane Jones", 99, 110),
+                    ("Fred Flintstone", 109, 125), ("Barney Rubble", 135, 123),
+                    ("Mr T", 45, 105)]
+
+    my_fig = bulletgraph(
+        data_to_plot,
+        limits=[20, 60, 100, 160],
+        labels=["Bad", "OK", "Good", "Excellent"],
+        size=(8, 5),
+        axis_label="Performance Measure",
+        label_color="black",
+        bar_color="#252525",
+        target_color='#f7f7f7',
+        title='Sales Rep Performance')
+    plt.show()
diff --git a/code/md_to_email/README.md b/code/md_to_email/README.md
new file mode 100644
index 0000000..0c84aea
--- /dev/null
+++ b/code/md_to_email/README.md
@@ -0,0 +1,64 @@
+# Markdown to HTML Email
+
+This sample code accompanies the [article](https://pbpython.com/markdown-email.html) on Practical Business Python. Refer to the article for more background and details on the rationale
+for the project.
+
+## Getting started
+
+This is a standalone script that will take a simple markdown file as input, 
+convert the markdown to HTML and insert it in the template file.
+
+Sample input files are included in order to illustrate the concept.
+The two input files are sample_doc.md which contains the content and
+template.html which contain the HTML structure that should render 
+as a responsive email.
+
+### Prerequisites
+This script requires python >= 3.5 and the following dependencies:
+
+* [python-markdown2](https://github.com/trentm/python-markdown2)
+* [jinja](https://jinja.palletsprojects.com/en/2.10.x/)
+* [premailer](https://github.com/peterbe/premailer)
+* [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/)
+
+Install them using pip or conda before running the script.
+
+## Using the script
+This is a standalone script that should be from the command line. 
+
+To see the help:
+```
+python email_gen.py --help
+
+usage: email_gen.py [-h] [-t T] [-o O] doc
+
+Generate HTML email from markdown file
+
+positional arguments:
+  doc         Markdown input document
+
+optional arguments:
+  -h, --help  show this help message and exit
+  -t T        email HTML template
+  -o O        output filename. Default is inputfile_email.html
+
+```
+
+Using the sample template file on the provided file:
+
+```
+python email_gen.py sample_doc.md
+```
+
+Will generate an inlined HTML file titled sample_doc_email.html that can be copied
+into an HTML email.
+
+## Customizing
+This simple script assumes that the markdown input file has header meta data
+that would be suitable for generating an article with [pelican](https://docs.getpelican.com/en/stable/).
+
+You will likely need to customize the template and the email_gen.py file 
+for your own needs.
+
+## License
+This software is released under the BSD 3-Clause License.
\ No newline at end of file
diff --git a/code/md_to_email/email_gen.py b/code/md_to_email/email_gen.py
new file mode 100644
index 0000000..f4f2673
--- /dev/null
+++ b/code/md_to_email/email_gen.py
@@ -0,0 +1,88 @@
+""" Generate responsive HTML emails from Markdown files used in a pelican blog.
+
+Refer to https://pbpython.com/ for the details.
+
+"""
+from markdown2 import Markdown
+from pathlib import Path
+from jinja2 import Environment, FileSystemLoader
+from premailer import transform
+from argparse import ArgumentParser
+from bs4 import BeautifulSoup
+
+
+def parse_args():
+    """Parse the command line input
+    
+    Returns:
+        args -- ArgumentParser object
+    """
+    parser = ArgumentParser(
+        description='Generate HTML email from markdown file')
+    parser.add_argument('doc', action='store', help='Markdown input document')
+
+    parser.add_argument('-t',
+                        help='email HTML template',
+                        default='template.html')
+    parser.add_argument(
+        '-o', help='output filename. Default is inputfile_email.html')
+    args = parser.parse_args()
+    return args
+
+
+def create_HTML(config):
+    """Read in the source markdown file and convert it to a standalone
+    HTML file suitable for emailing
+
+    Arguments:
+        config -- ArgumentParser object that contains the input file
+    """
+    # Define all the file locations
+    in_doc = Path(config.doc)
+    if config.o:
+        out_file = Path(config.o)
+    else:
+        out_file = Path.cwd() / f'{in_doc.stem}_email.html'
+    template_file = config.t
+
+    # Read in the entire file as a list
+    # This can be problematic if the file is really large
+    with open(in_doc) as f:
+        all_content = f.readlines()
+
+    # Get the title line and clean it up
+    title_line = all_content[0]
+    title = f'My Newsletter - {title_line[7:].strip()}'
+
+    # Parse out the body from the meta data content at the top of the file
+    body_content = all_content[6:]
+
+    # Create a markdown object and convert the list of file lines to HTML
+    markdowner = Markdown()
+    markdown_content = markdowner.convert(''.join(body_content))
+
+    # Set up jinja templates
+    env = Environment(loader=FileSystemLoader('.'))
+    template = env.get_template(template_file)
+
+    # Define the template variables and render
+    template_vars = {'email_content': markdown_content, 'title': title}
+    raw_html = template.render(template_vars)
+
+    # Generate the final output string
+    # Inline all the CSS using premailer.transform
+    # Use BeautifulSoup to make the formatting nicer
+    soup = BeautifulSoup(transform(raw_html),
+                         'html.parser').prettify(formatter="html")
+
+    # The unsubscribe tag gets mangled. Clean it up.
+    final_HTML = str(soup).replace('%7B%7BUnsubscribeURL%7D%7D',
+                                   '{{UnsubscribeURL}}')
+    out_file.write_text(final_HTML)
+
+
+if __name__ == '__main__':
+    conf = parse_args()
+    print('Creating output HTML')
+    create_HTML(conf)
+    print('Completed')
diff --git a/code/md_to_email/sample_doc.md b/code/md_to_email/sample_doc.md
new file mode 100644
index 0000000..50a08da
--- /dev/null
+++ b/code/md_to_email/sample_doc.md
@@ -0,0 +1,21 @@
+Title: Newsletter Number X
+Date: 12-9-2019 10:04am
+Template: newsletter
+URL: newsletter/issue-X.html
+save_as: newsletter/issue-X.html
+
+Welcome to the Xth edition of this newsletter. 
+
+## Around the site
+
+* [Combining Multiple Excel Worksheets Into a Single Pandas Dataframe](https://pbpython.com/pandas-excel-tabs.html)
+  covers a simple approach to parse multiple excel tabs into one DataFrame. 
+
+## Other news
+
+* [Altair](https://altair-viz.github.io/index.html) just released a new version. If you haven't looked at it in a while,
+  check out some of the [examples](https://altair-viz.github.io/gallery/index.html) for a snapshot of what you can do with it.
+
+## Final Words
+
+Thanks again for subscribing to the newsletter. Feel free to forward it on to others that may be interested.
\ No newline at end of file
diff --git a/code/md_to_email/template.html b/code/md_to_email/template.html
new file mode 100644
index 0000000..98af62c
--- /dev/null
+++ b/code/md_to_email/template.html
@@ -0,0 +1,177 @@
+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
+<html lang="en">
+
+<head>
+  <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1">
+  <meta http-equiv="X-UA-Compatible" content="IE=edge">
+
+  <title>{{title}}</title>
+
+  <style type="text/css">
+    
+    /* CLIENT-SPECIFIC STYLES */
+    body,
+    table,
+    td,
+    a {
+      -webkit-text-size-adjust: 100%;
+      -ms-text-size-adjust: 100%;
+    }
+
+    table,
+    td {
+      mso-table-lspace: 0pt;
+      mso-table-rspace: 0pt;
+    }
+
+    img {
+      -ms-interpolation-mode: bicubic;
+    }
+
+    /* RESET STYLES */
+    img {
+      border: 0;
+      outline: none;
+      text-decoration: none;
+    }
+
+    table {
+      border-collapse: collapse !important;
+    }
+
+    body {
+      margin: 0 !important;
+      padding: 0 !important;
+      width: 100% !important;
+      font-family: 'Average Sans', sans-serif;
+      font-size: 14px;
+    }
+
+    pre {
+      padding: 16px;
+      font-size: 85%;
+      line-height: 1.45;
+      border-radius: 3px;
+    }
+
+    code {
+      font-family: "SFMono-Regular", Consolas, "Liberation Mono", Menlo, Courier, monospace;
+      font-size: 85%;
+      margin: 0;
+      padding: 0.2em 0;
+      border-radius: 3px;
+    }
+
+    blockquote {
+      padding: 0 1em;
+      color: #6a737d;
+      border-left: 0.25em solid #dfe2e5;
+    }
+
+    
+    h1, h2, h3, h4 {
+      font-family: sans-serif;
+      font-weight: 500;
+      margin: 0;
+    }
+    
+    h1 {
+      font-size: 200%;
+
+    }
+
+    h1 a {
+      text-decoration: none
+    }
+
+    h2 {
+
+        font-size: 125%;
+    }
+
+   h3, h4 {
+
+        font-size: 115%;
+    }
+
+
+    .lead {
+        font-size: 16px;
+        font-weight: 300;
+        margin: 0;
+    }
+
+    /* iOS BLUE LINKS */
+    a[x-apple-data-detectors] {
+      color: inherit !important;
+      text-decoration: none !important;
+      font-size: inherit !important;
+      font-family: inherit !important;
+      font-weight: inherit !important;
+      line-height: inherit !important;
+    }
+
+    li {
+        font-size: 100%;
+    }
+
+    /* ANDROID CENTER FIX */
+    div[style*="margin: 16px 0;"] {
+      margin: 0 !important;
+    }
+  </style>
+</head>
+
+<body style="margin:0; padding:0; background-color:#F2F2F2;">
+  <center>
+
+    <div style="background-color:#F2F2F2; max-width: 640px; margin: auto;">
+      <!--[if mso]>
+    <table role="presentation" width="640" cellspacing="0" cellpadding="0" border="0" align="center">
+    <tr>
+    <td>
+    <![endif]-->
+
+      <table width="640" cellspacing="0" cellpadding="0" border="0" align="center" style="max-width:640px; width:100%;"
+        bgcolor="#FFFFFF">
+        <tr>
+          <td align="center" valign="top" style="padding:10px;">
+
+            <table width="600" cellspacing="0" cellpadding="0" border="0" align="center"
+              style="max-width:600px; width:100%;">
+              <tr bgcolor="#eee">
+                <td align="center" valign="top" style="padding:10px;">
+                  <h1> <a href=".">My Newsletter</a></h1>
+                  <p class="lead">Witty saying here</p>
+                </td>
+              </tr>
+
+              <tr>
+                <td align="left" valign="top" style="padding:10px;">
+                  {{email_content}}
+                </td>
+              </tr>
+            </table>
+
+          </td>
+        </tr>
+      </table>
+
+      <!--[if mso]>
+    </td>
+    </tr>
+    </table>
+    <![endif]-->
+    </div>
+    <p
+      style="border-top: 1px solid #c6c6c6; color: #a9a9a9; margin-top: 50px; padding-top: 20px;font-size:13px; margin-bottom: 13px;">
+      You received this email because you subscribed to our list.
+      {% raw %} 
+        You can  <a href="{{UnsubscribeURL}}" style="color:#a9a9a9;" target="_blank" >unsubscribe</a> at any time.</p> 
+        <p style="color: #a9a9a9;margin-bottom: 13px;font-size:13px;">{{SenderInfoLine}}</p>
+     {% endraw %}
+  </center>
+</body>
+
+</html>
\ No newline at end of file
diff --git a/code/pdf_split.py b/code/pdf_split.py
new file mode 100644
index 0000000..f7f549d
--- /dev/null
+++ b/code/pdf_split.py
@@ -0,0 +1,121 @@
+from appJar import gui
+from PyPDF2 import PdfFileWriter, PdfFileReader
+from pathlib import Path
+
+# Define all the functions needed to process the files
+
+
+def split_pages(input_file, page_range, out_file):
+    """ Take a pdf file and copy a range of pages into a new pdf file
+
+    Args:
+        input_file: The source PDF file
+        page_range: A string containing a range of pages to copy: 1-3,4
+        out_file: File name for the destination PDF
+    """
+    output = PdfFileWriter()
+    input_pdf = PdfFileReader(open(input_file, "rb"))
+    output_file = open(out_file, "wb")
+
+    # https://stackoverflow.com/questions/5704931/parse-string-of-integer-sets-with-intervals-to-list
+    page_ranges = (x.split("-") for x in page_range.split(","))
+    range_list = [i for r in page_ranges for i in range(int(r[0]), int(r[-1]) + 1)]
+
+    for p in range_list:
+        # Need to subtract 1 because pages are 0 indexed
+        try:
+            output.addPage(input_pdf.getPage(p - 1))
+        except IndexError:
+            # Alert the user and stop adding pages
+            app.infoBox("Info", "Range exceeded number of pages in input.\nFile will still be saved.")
+            break
+    output.write(output_file)
+
+    if(app.questionBox("File Save", "Output PDF saved. Do you want to quit?")):
+        app.stop()
+
+
+def validate_inputs(input_file, output_dir, range, file_name):
+    """ Verify that the input values provided by the user are valid
+
+    Args:
+        input_file: The source PDF file
+        output_dir: Directory to store the completed file
+        range: File A string containing a range of pages to copy: 1-3,4
+        file_name: Output name for the resulting PDF
+
+    Returns:
+        True if error and False otherwise
+        List of error messages
+    """
+    errors = False
+    error_msgs = []
+
+    # Make sure a PDF is selected
+    if Path(input_file).suffix.upper() != ".PDF":
+        errors = True
+        error_msgs.append("Please select a PDF input file")
+
+    # Make sure a range is selected
+    if len(range) < 1:
+        errors = True
+        error_msgs.append("Please enter a valid page range")
+
+    # Check for a valid directory
+    if not(Path(output_dir)).exists():
+        errors = True
+        error_msgs.append("Please Select a valid output directory")
+
+    # Check for a file name
+    if len(file_name) < 1:
+        errors = True
+        error_msgs.append("Please enter a file name")
+
+    return(errors, error_msgs)
+
+
+def press(button):
+    """ Process a button press
+
+    Args:
+        button: The name of the button. Either Process of Quit
+    """
+    if button == "Process":
+        src_file = app.getEntry("Input_File")
+        dest_dir = app.getEntry("Output_Directory")
+        page_range = app.getEntry("Page_Ranges")
+        out_file = app.getEntry("Output_name")
+        errors, error_msg = validate_inputs(src_file, dest_dir, page_range, out_file)
+        if errors:
+            app.errorBox("Error", "\n".join(error_msg), parent=None)
+        else:
+            split_pages(src_file, page_range, Path(dest_dir, out_file))
+    else:
+        app.stop()
+
+
+# Create the GUI Window
+app = gui("PDF Splitter", useTtk=True)
+app.setTtkTheme("default")
+# Uncomment below to see all available themes
+# print(app.getTtkThemes())
+app.setSize(500, 200)
+
+# Add the interactive components
+app.addLabel("Choose Source PDF File")
+app.addFileEntry("Input_File")
+
+app.addLabel("Select Output Directory")
+app.addDirectoryEntry("Output_Directory")
+
+app.addLabel("Output file name")
+app.addEntry("Output_name")
+
+app.addLabel("Page Ranges: 1,3,4-10")
+app.addEntry("Page_Ranges")
+
+# link the buttons to the function called press
+app.addButtons(["Process", "Quit"], press)
+
+# start the GUI
+app.go()
diff --git a/code/stacked_bar_app.py b/code/stacked_bar_app.py
new file mode 100644
index 0000000..f2b6bb7
--- /dev/null
+++ b/code/stacked_bar_app.py
@@ -0,0 +1,49 @@
+""" Example Dash application accompanying the post
+at http://pbpython.com/plotly-dash-intro.html
+"""
+
+import dash
+import dash_core_components as dcc
+import dash_html_components as html
+import plotly.graph_objs as go
+import pandas as pd
+
+# Read in the Excel file
+df = pd.read_excel(
+    "https://github.com/chris1610/pbpython/blob/master/data/salesfunnel.xlsx?raw=True"
+)
+
+# Pivot the data to get it a summary format
+pv = pd.pivot_table(
+    df,
+    index=['Name'],
+    columns=["Status"],
+    values=['Quantity'],
+    aggfunc=sum,
+    fill_value=0)
+
+# Build a trace for each status that will eventual make the stacked bar
+trace1 = go.Bar(x=pv.index, y=pv[('Quantity', 'declined')], name='Declined')
+trace2 = go.Bar(x=pv.index, y=pv[('Quantity', 'pending')], name='Pending')
+trace3 = go.Bar(x=pv.index, y=pv[('Quantity', 'presented')], name='Presented')
+trace4 = go.Bar(x=pv.index, y=pv[('Quantity', 'won')], name='Won')
+
+# Create the basic app
+app = dash.Dash()
+
+# Populate the HTML structure of the app with the graph element
+app.layout = html.Div(children=[
+    html.H1(children='Sales Funnel Report'),
+    html.Div(children='''National Sales Funnel Report.'''),
+    dcc.Graph(
+        id='example-graph',
+        figure={
+            'data': [trace1, trace2, trace3, trace4],
+            'layout':
+            go.Layout(title='Order Status by Customer', barmode='stack')
+        })
+])
+
+# Allow the app to serve from the command line
+if __name__ == '__main__':
+    app.run_server(debug=True)
diff --git a/code/stacked_bar_interactive.py b/code/stacked_bar_interactive.py
new file mode 100644
index 0000000..19151e2
--- /dev/null
+++ b/code/stacked_bar_interactive.py
@@ -0,0 +1,74 @@
+""" Example Dash application accompanying the post
+at http://pbpython.com/plotly-dash-intro.html
+"""
+
+import dash
+import dash_core_components as dcc
+import dash_html_components as html
+import plotly.graph_objs as go
+import pandas as pd
+
+# Read in the data from Excel
+df = pd.read_excel(
+    "https://github.com/chris1610/pbpython/blob/master/data/salesfunnel.xlsx?raw=True"
+)
+
+# Get a list of all the avilable managers
+mgr_options = df["Manager"].unique()
+
+# Create the app
+app = dash.Dash()
+
+# Populate the layout with HTML and graph components
+app.layout = html.Div([
+    html.H2("Sales Funnel Report"),
+    html.Div(
+        [
+            dcc.Dropdown(
+                id="Manager",
+                options=[{
+                    'label': i,
+                    'value': i
+                } for i in mgr_options],
+                value='All Managers'),
+        ],
+        style={'width': '25%',
+               'display': 'inline-block'}),
+    dcc.Graph(id='funnel-graph'),
+])
+
+
+# Add the callbacks to support the interactive componets
+@app.callback(
+    dash.dependencies.Output('funnel-graph', 'figure'),
+    [dash.dependencies.Input('Manager', 'value')])
+def update_graph(Manager):
+    if Manager == "All Managers":
+        df_plot = df.copy()
+    else:
+        df_plot = df[df['Manager'] == Manager]
+
+    pv = pd.pivot_table(
+        df_plot,
+        index=['Name'],
+        columns=["Status"],
+        values=['Quantity'],
+        aggfunc=sum,
+        fill_value=0)
+
+    trace1 = go.Bar(x=pv.index, y=pv[('Quantity', 'declined')], name='Declined')
+    trace2 = go.Bar(x=pv.index, y=pv[('Quantity', 'pending')], name='Pending')
+    trace3 = go.Bar(x=pv.index, y=pv[('Quantity', 'presented')], name='Presented')
+    trace4 = go.Bar(x=pv.index, y=pv[('Quantity', 'won')], name='Won')
+
+    return {
+        'data': [trace1, trace2, trace3, trace4],
+        'layout':
+        go.Layout(
+            title='Customer Order Status for {}'.format(Manager),
+            barmode='stack')
+    }
+
+
+if __name__ == '__main__':
+    app.run_server(debug=True)
diff --git a/code/winepicker.py b/code/winepicker.py
new file mode 100644
index 0000000..9f9d320
--- /dev/null
+++ b/code/winepicker.py
@@ -0,0 +1,151 @@
+""" Interactive Wine Visualization Tool
+
+See pbpython.com for the associated blog post explaining the process and
+goals of this script
+"""
+
+import pandas as pd
+from bokeh.plotting import figure
+from bokeh.layouts import layout, widgetbox
+from bokeh.models import ColumnDataSource, HoverTool, BoxZoomTool, ResetTool, PanTool
+from bokeh.models.widgets import Slider, Select, TextInput, Div
+from bokeh.models import WheelZoomTool, SaveTool, LassoSelectTool
+from bokeh.io import curdoc
+from functools import lru_cache
+
+
+# Define a cached function to read in the CSV file and return a dataframe
+@lru_cache()
+def load_data():
+    df = pd.read_csv("Aussie_Wines_Plotting.csv", index_col=0)
+    return df
+
+# Column order for displaying the details of a specific review
+col_order = ["price", "points", "variety", "province", "description"]
+
+all_provinces = [
+    "All", "South Australia", "Victoria", "Western Australia",
+    "Australia Other", "New South Wales", "Tasmania"
+]
+
+# Setup the display portions including widgets as well as text and HTML
+desc = Div(text="All Provinces", width=800)
+province = Select(title="Province", options=all_provinces, value="All")
+price_max = Slider(start=0, end=900, step=5, value=200, title="Maximum Price")
+title = TextInput(title="Title Contains")
+details = Div(text="Selection Details:", width=800)
+
+# Populate the data with the dataframe
+source = ColumnDataSource(data=load_data())
+
+# Build out the hover tools
+hover = HoverTool(tooltips=[
+    ("title", "@title"),
+    ("variety", "@variety"),
+])
+
+# Define the tool list as a list of the objects so it is easier to customize
+# each object
+TOOLS = [
+    hover, BoxZoomTool(), LassoSelectTool(), WheelZoomTool(), PanTool(),
+    ResetTool(), SaveTool()
+]
+
+# Build out the figure with the individual circle plots
+p = figure(
+    plot_height=600,
+    plot_width=700,
+    title="Australian Wine Analysis",
+    tools=TOOLS,
+    x_axis_label="points",
+    y_axis_label="price (USD)",
+    toolbar_location="above")
+
+p.circle(
+    y="price",
+    x="points",
+    source=source,
+    color="variety_color",
+    size=7,
+    alpha=0.4)
+
+
+# Define the functions to update the data based on a selection or change
+
+def select_reviews():
+    """ Use the current selections to determine which filters to apply to the
+    data. Return a dataframe of the selected data
+    """
+    df = load_data()
+
+    # Determine what has been selected for each widgetd
+    max_price = price_max.value
+    province_val = province.value
+    title_val = title.value
+
+    # Filter by price and province
+    if province_val == "All":
+        selected = df[df.price <= max_price]
+    else:
+        selected = df[(df.province == province_val) & (df.price <= max_price)]
+
+    # Further filter by string in title if it is provided
+    if title_val != "":
+        selected = selected[selected.title.str.contains(title_val) == True]
+
+    # Example showing how to update the description
+    desc.text = "Province: {} and Price < {}".format(province_val, max_price)
+    return selected
+
+
+def update():
+    """ Get the selected data and update the data in the source
+    """
+    df_active = select_reviews()
+    source.data = ColumnDataSource(data=df_active).data
+
+
+def selection_change(attrname, old, new):
+    """ Function will be called when the poly select (or other selection tool)
+    is used. Determine which items are selected and show the details below
+    the graph
+    """
+    selected = source.selected["1d"]["indices"]
+
+    # Need to get a list of the active reviews so the indices will match up
+    df_active = select_reviews()
+
+    # If something is selected, then get those details and format the results
+    # as an HTML table
+    if selected:
+        data = df_active.iloc[selected, :]
+        temp = data.set_index("title").T.reindex(index=col_order)
+        details.text = temp.style.render()
+    else:
+        details.text = "Selection Details"
+
+
+# Setup functions for each control so that changes will be captured and data
+# updated as required
+controls = [province, price_max, title]
+
+for control in controls:
+    control.on_change("value", lambda attr, old, new: update())
+
+# If the source is changed to a selection, execute that selection process
+source.on_change("selected", selection_change)
+
+# The final portion is to layout the parts and get the server going
+
+# Build a box for all the controls
+inputs = widgetbox(*controls, sizing_mode="fixed")
+
+# Define a simple layout
+l = layout([[desc], [inputs, p], [details]], sizing_mode="fixed")
+
+# Update the data and instantiate the service
+update()
+curdoc().add_root(l)
+
+# Show the title in the browser bar
+curdoc().title = "Australian Wine Analysis"
diff --git a/data/2018_Sales_Total.xlsx b/data/2018_Sales_Total.xlsx
new file mode 100644
index 0000000..817bf39
Binary files /dev/null and b/data/2018_Sales_Total.xlsx differ
diff --git a/data/2018_Sales_Total_Tabs.xlsx b/data/2018_Sales_Total_Tabs.xlsx
new file mode 100644
index 0000000..96d3636
Binary files /dev/null and b/data/2018_Sales_Total_Tabs.xlsx differ
diff --git a/data/2018_Sales_Total_v2.xlsx b/data/2018_Sales_Total_v2.xlsx
new file mode 100644
index 0000000..31e5844
Binary files /dev/null and b/data/2018_Sales_Total_v2.xlsx differ
diff --git a/data/Aussie_Wines_Plotting.csv b/data/Aussie_Wines_Plotting.csv
new file mode 100644
index 0000000..45a8c56
--- /dev/null
+++ b/data/Aussie_Wines_Plotting.csv
@@ -0,0 +1,2184 @@
+,country,description,designation,points,price,province,region_1,region_2,taster_name,taster_twitter_handle,title,variety,winery,variety_color
+77,Australia,"This medium-bodied Chardonnay features aromas of pineapple and roasted cashew. Similar notes of ripe pineapple and nuts mark the palate, then ease to a rather soft, easy finish. Drink now.",Made With Organic Grapes,86,18.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2016 Made With Organic Grapes Chardonnay (South Australia),Chardonnay,Yalumba,#440154
+83,Australia,"Pale copper in hue, this wine exudes passion fruit on the nose, while the palate delivers nuances of muskmelon as well. It's crisp, racy and medium in body, perfectly suited to summertime refreshment. Drink now.",Jester Sangiovese,86,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2016 Jester Sangiovese Rosé (McLaren Vale),Rosé,Mitolo,#450558
+123,Australia,"The blend is roughly two-thirds Shiraz and one-third Cabernet, and the result combines berries with cassis and generosity with structure, all framed by toasty oak. Savory in character, long and dusty on the finish. Drink now-2018.",Parson's Flat,92,40.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2006 Parson's Flat Shiraz-Cabernet Sauvignon (Padthaway),Shiraz-Cabernet Sauvignon,Henry's Drive Vignerons,#460B5E
+191,Australia,"From the little-known region of Padthaway, this Cabernet starts off with some very promising, perfumed aromas of mint and cassis, but then shows touches of chocolate and raisined fruit on the palate. It's soft and mouthfilling—an easy-drinking Cab to consume on the young side.",The Trial of John Montford,87,30.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2006 The Trial of John Montford Cabernet Sauvignon (Padthaway),Cabernet Sauvignon,Henry's Drive Vignerons,#471163
+232,Australia,Lifted cedar and pine notes interspersed with appealing woodsy scents give way to a surprisingly intense palate that shows some nice peppery notes but ultimately falls short on the finish. Nearly imperceptible tannins suggest early consumption.,Red Belly Black,85,12.0,South Australia,South Australia,,,,Angove's 2006 Red Belly Black Shiraz (South Australia),Shiraz,Angove's,#471669
+238,Australia,"The sort of wine one imagines early Australian settlers gulped down—big and burly in the mouth and a bit warm, rough and dusty on the finish. Hints of mint-accented cherry fruit and earthy notes.",The Derelict Vineyard,85,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The Derelict Vineyard Grenache (McLaren Vale),Grenache,D'Arenberg,#481C6E
+246,Australia,"Juicy and well balanced, this is an admirable effort at the price. Boxwood, grapefruit, lemon and quince notes make for a sophisticated first impression. The palate is straightforward citrus while gooseberry notes pop up on the dry finish. Drink now.",Destinations,85,15.0,South Australia,Adelaide Hills,,,,Long Flat 2006 Destinations Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Long Flat,#482172
+293,Australia,"This wine displays ample concentration in its inky color and potent aromas of dark berry fruit. There's a hint of raisining as well. In the mouth, it's mouthfilling but lacks a bit of texture; the flavors include dark plums, vanilla and hints of dried fruits, like figs and dates. With a finish that calls to mind chocolate fudge (minus the sugar), opt for drinking this wine over the relatively near term, now to 2020.",Green's Vineyard,92,70.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2009 Green's Vineyard Shiraz (Barossa Valley),Shiraz,Kilikanoon,#471669
+345,Australia,"This wine contains some material over 100 years old, but shows no signs of fragility. Instead, it's concentrated through age and should hold in the bottle indefinitely. It's dark coffee-brown in color, with delectable aromas of rancio, dried fig, molasses and black tea, yet despite enormous concentration avoids excessive weight. And it's amazingly complex and fresh on the nearly endless finish.",Rare,100,350.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Chambers Rosewood Vineyards NV Rare Muscat (Rutherglen),Muscat,Chambers Rosewood Vineyards,#472676
+346,Australia,"This deep brown wine smells like a damp, mossy cave. Then add complex rancio notes, plus maple syrup and molasses. It's full, round and harmonious, wonderfully rich yet without any sense of heaviness and long and bright on the finish.",Rare,98,350.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Chambers Rosewood Vineyards NV Rare Muscadelle (Rutherglen),Muscadelle,Chambers Rosewood Vineyards,#472A79
+348,Australia,"Deep mahogany. Dried fig and black tea on the nose, then concentrated mocha and molasses flavors, enlivened by candied orange zest. Full, rich and sweet, but surprisingly drinkable, with terrific intensity and length.",Grand,97,100.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Chambers Rosewood Vineyards NV Grand Muscat (Rutherglen),Muscat,Chambers Rosewood Vineyards,#472676
+349,Australia,"RunRig is always complex, and the 2012 doesn't disappoint in that regard, mixing bacony-meaty notes with hints of black olives and ripe plums. The tannins are supremely supple, but the acids are crisp, resulting in a long, mouthwatering finish. Drink now–2030.",RunRig,97,225.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Torbreck 2012 RunRig Shiraz-Viognier (Barossa),Shiraz-Viognier,Torbreck,#462F7C
+356,Australia,"Dusty, firm, powerful: just a few apt descriptors for this vintage of one of Heathcote's top wines. Mocha, licorice and blackberries feature on the nose, while the palate delivers more of the same—dark fruit, chocolate and plenty of spice. Best after 2020.",Georgia's Paddock,95,85.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Jasper Hill 2013 Georgia's Paddock Shiraz (Heathcote),Shiraz,Jasper Hill,#471669
+360,Australia,"Bacon and tapenade elements merge easily on the nose, followed by a wine that's full bodied and creamy textured on the palate. This is dark and meaty in profile, yet not heavy or cooked, with a long, harmonious finish. Drink now–2030.",Descendant,95,125.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2012 Descendant Shiraz-Viognier (Barossa Valley),Shiraz-Viognier,Torbreck,#462F7C
+365,Australia,"The Taylor family selected Clare Valley for its Cabernet affinity, but this Shiraz is a knockout. Yes, it's oaky—full of menthol, vanilla and toasted coconut—but there's just enough black cherry and plum fruit to support the wood. It's a plush, full-bodied wine with immense appeal, for drinking now–2025.",St. Andrews Single Vineyard Release,95,60.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2013 St. Andrews Single Vineyard Release Shiraz (Clare Valley),Shiraz,Wakefield,#471669
+628,Australia,"This plush, full-bodied wine is already delicious, delivering wave after wave of savory fruit flavor, something like soy-marinated, char-grilled beef. Tannins are supple enough to make this wine drinkable now, yet plentiful enough to suggest ample cellaring potential. Drink now-2030.",Alluvial Fans,92,35.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kangarilla Road 2012 Alluvial Fans Shiraz (McLaren Vale),Shiraz,Kangarilla Road,#471669
+633,Australia,"This full-bodied wine is rich without ever seeming overdone. Subtle smoke notes frame bold fruit—tangerine, pineapple and apricot—and gingery spice, while the finish is long, peppery and refreshing. Drink now–2020.",,92,60.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yeringberg 2013 Viognier (Yarra Valley),Viognier,Yeringberg,#45347F
+636,Australia,"The Torbreck wines, with the emphasis they place on ripeness, can sometimes be controversial. This one is full bodied and rich, with dense plum and chocolate notes that verge on being fudge-like. But those elements are lifted slightly by hints of mint and bacon. Mocha joins the party on the long finish. Drink now–2025.",The Factor,92,125.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2010 The Factor Shiraz (Barossa Valley),Shiraz,Torbreck,#471669
+652,Australia,"Based on this example and a few other informal tastings, 2014 will be a top vintage for Rieslings from Western Australia. Aromas of lime sherbet and wet stone lead into a crisply focused palate loaded with citrusy tartness that lingers on the mouthwatering finish. Drink now with shellfish, and consider holding some for up to 10 years.",,92,21.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Plantagenet 2014 Riesling (Great Southern),Riesling,Plantagenet,#443982
+746,Australia,"Melon and citrus aromas and flavors mingle easily in this cleanly made quaffer. It's a bit plump on the palate, yet refreshing on the lemon-lime finish.",Classic,85,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2015 Classic Pinot Grigio (South Eastern Australia),Pinot Grigio,Jacob's Creek,#423D84
+766,Australia,"Light, fresh and silky—just what might be expected from cool-climate Pinot Noir. A pleasant earthiness underscores prettily interwoven strands of herbs and cherries. It's exciting to see the burgeoning quality of the wines coming out of Tasmania.",,87,18.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,42°S 2008 Pinot Noir (Tasmania),Pinot Noir,42°S,#414286
+768,Australia,"A good value in easy-to-drink Cabernet, McWilliam's 2008 is plummy and chocolaty, with soft tannins and a velvety finish. A bit simple perhaps, but definitely satisfying. Drink now.",,87,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,McWilliam's Hanwood Estate 2008 Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,McWilliam's Hanwood Estate,#471163
+807,Australia,"Without any new oak or lees stirring, this wine's sole focus is on the fruit. Pineapple, melon and peach notes are pure and striking, supported by just hints of vanilla and cream. This medium-bodied Chardonnay finishes in a flurry of tangerine and lime.",Farrago,90,66.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Kooyong 2013 Farrago Chardonnay (Mornington Peninsula),Chardonnay,Kooyong,#440154
+813,Australia,"Built for early consumption, this blend of 59% Grenache, 22% Shiraz and 19% Mataro is lush and warm, offering chocolaty notes alongside hints of brown sugar, grilled meat and blueberries. Drink now–2022.",Cuvee Juveniles,90,22.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2013 Cuvee Juveniles Red (Barossa Valley),Red Blend,Torbreck,#3F4788
+866,Australia,"This is ripe, rich and even a touch tannic—almost more of a light red than a true rosé. This makes it ideally suited to serve alongside summer's various grilled meats. Raspberry and cola flavors finish spicy and round.",Handpicked Grenache,90,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Beresford 2014 Handpicked Grenache Rosé (McLaren Vale),Rosé,Beresford,#450558
+893,Australia,"This is an unusually complex Shiraz for the price, ably marrying meaty-savory notes with tart berries and plenty of weight on the palate. Crisp structure, finishes long, with lingering acids. Drink now–2018.",Heavy Metal,90,15.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Hungerford Hill 2008 Heavy Metal Shiraz (South Eastern Australia),Shiraz,Hungerford Hill,#471669
+920,Australia,"Green beans and snap peas give this Sauvignon Blanc a green cast overall, but there's some citrus and gooseberry fruit as well. It's clean and refreshing on the finish.",Breathing Space,87,35.43766346992153,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Evans & Tate 2015 Breathing Space Sauvignon Blanc (Australia),Sauvignon Blanc,Evans & Tate,#482172
+924,Australia,"This medium-bodied wine features aromas of green apple and crushed stone, while the flavors turn citrusy, veering toward lime and grapefruit. It's nicely silky in texture, while a hint of snow pea marks the finish.",,87,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2014 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Sidewood,#482172
+987,Australia,"While lacking the vibrant fruit typical of the variety, there are some attractive hay and honey scents on nose. The full-bodied and soft-textured palate is cloaked in vanilla, which lingers on the finish.",,88,25.0,South Australia,Barossa Valley,,,,Sieber Rd 2007 Viognier (Barossa Valley),Viognier,Sieber Rd,#45347F
+997,Australia,"Blended from a patchwork of old vineyards throughout the Barossa, this is typical Barossa Shiraz, with plenty of weight and creamy tannins that support plummy, chocolaty fruit. There's a bit of spice for complexity and a crisp, fresh finish. Drink now–2014.",Patchwork,88,18.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2006 Patchwork Shiraz (Barossa),Shiraz,Yalumba,#471669
+1008,Australia,"Intense and focused, this good value Coonawarra opens with notes of leather and polished wood overlaid with red-berry fruit. Tannins are smooth, but there's plenty of lip-smacking acidity to keep the cherry cordial and plum fruit flavors lively. Drink now. Imported by Freixenet USA.",,88,14.0,South Australia,Coonawarra,,,,Nick Faldo 2005 Shiraz (Coonawarra),Shiraz,Nick Faldo,#471669
+1074,Australia,"Sourced from vines planted in 1847, this is a full-bodied, open-knit wine, supple and velvety in texture. Vanilla cream and black cherries mark the nose, while the flavors are more savory, resembling black olives and grilled meat. It's long and lush on the finish. Drink it now through 2025.",Moorooroo,94,100.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Schild Estate 2013 Moorooroo Shiraz (Barossa Valley),Shiraz,Schild Estate,#471669
+1154,Australia,"This wine boasts admirable complexity, but comes across as a bit angular, with the acids maybe a touch too prominent. Still, the flavors of mint, pepper and meat layered over plum and raspberry fruit offer a lot to like, and the acids may actually make this wine more versatile with food than many more unctuous Shiraz.",Old Vine,87,19.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Fire Block 2004 Old Vine Shiraz (Clare Valley),Shiraz,Fire Block,#471669
+1182,Australia,"Beyond a hint of stuck flint on the nose, this offers clean, varietally correct aromas and flavors of white nectarine, grapefruit and gooseberry. It's nicely balanced in the middle of the spectrum, offering a harmonious mix of stone fruit and citrus.",Beacon Hill,88,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Beresford 2014 Beacon Hill Sauvignon Blanc (South Australia),Sauvignon Blanc,Beresford,#482172
+1198,Australia,"At less than 13% abv, this is on the lighter side of the Rhône white spectrum, offering simple pear and toasted marshmallow aromas and flavors that finish lean and crisp.",B Minor,87,25.0,Victoria,Goulburn Valley,,Joe Czerwinski,@JoeCz,Ben Haines 2015 B Minor Marsanne-Roussanne (Goulburn Valley),Marsanne-Roussanne,Ben Haines,#3D4A89
+1199,Australia,"This is plump and custardy in feel, but still refreshing thanks to bright apple and lime aromas and flavors. It's more citrus than apple on the crisp finish.",Beacon Hill,87,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Beresford 2014 Beacon Hill Pinot Grigio (South Australia),Pinot Grigio,Beresford,#423D84
+1478,Australia,"This 60-40 blend features gentle aromas of vanilla and cassis in a medium-bodied, creamy-smooth format. It's not powerful or complex, but offers pure cassis and vanilla flavors tinged with chocolate on the finish. Good value.",Yellow Label,85,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wolf Blass 2005 Yellow Label Shiraz-Cabernet Sauvignon (South Australia),Shiraz-Cabernet Sauvignon,Wolf Blass,#460B5E
+1636,Australia,"Tightly constructed for an entry-priced Chardonnay, this has faint almond nuttiness accenting pineapple and grapefruit flavors. Drink this medium-bodied wine through mid-2018.",,85,8.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2016 Chardonnay (Australia),Chardonnay,Jacob's Creek,#440154
+1649,Australia,"This shows some pungent, boxwood-like scents up front, followed by modest passion fruit and a bit of citrus, falling away on the finish. Drink now.",Exmoor,85,16.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Xanadu 2015 Exmoor Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Xanadu,#3C4E8A
+1666,Australia,"Wet stone and graphite scents up front give way to hints of honey and Earl Grey tea (bergamot). It's medium bodied and fades quickly on the finish, but it's a solid buy for under $10.",,85,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Half Mile Creek 2014 Semillon-Sauvignon Blanc (South Eastern Australia),Semillon-Sauvignon Blanc,Half Mile Creek,#3A538B
+1706,Australia,"This medium-bodied Chardonnay features ample apple, pear and pineapple fruit that comes across as pleasant and mouthfilling, if also a bit one-dimensional. Still, it represents a reasonable value.",Lost Block,86,14.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Tyrrell's 2006 Lost Block Chardonnay (South Eastern Australia),Chardonnay,Tyrrell's,#440154
+1707,Australia,"This is a straightforward, plump, fruity Chardonnay. Round peach and lemon flavors get a burst of energy from hints of pineapple and citrus, finishing clean and fresh. Drink now.",,86,23.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse River 2006 Chardonnay (Margaret River),Chardonnay,Vasse River,#440154
+1712,Australia,"Seems almost sweet, with cherry and chocolate flavors that dominate the palate. Drink now.",,85,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Battle of Bosworth 2005 Shiraz-Viognier (McLaren Vale),Shiraz-Viognier,Battle of Bosworth,#462F7C
+1723,Australia,"Tart blackberry and vanilla flavors mark this bold Shiraz that shows its 14.5% alcohol. There's a rubbery note on the nose that's a bit distracting but should be taken care of by a quick decanting, while black olive and coffee notes emerge on the slightly warm finish.",Nine Gums Vineyard,85,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Brick Road 2005 Nine Gums Vineyard Shiraz (McLaren Vale),Shiraz,Brick Road,#471669
+1886,Australia,"Big, bold and structured, this is a dry yet mouthwatering beast of a Shiraz, its blackberry, mocha and black olive notes held in check by firm tannins. Give it 3–4 years in the cellar, then drink it over the next several years.",Reserve,93,50.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2008 Reserve Shiraz (Padthaway),Shiraz,Henry's Drive Vignerons,#471669
+1890,Australia,"A product of a hot, short growing season, Lake Folly's 2003 Cabernet Sauvignon shows some slightly overripe notes of cola and prune, but also features a high degree of richness allied to a broad, mouthfilling texture. It lacks nuance, but it is a big, flavorful mouthful that ends with hints of coffee and chocolate. Drink now–2010.",Follett Family Vineyards,89,20.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Lake Breeze 2003 Follett Family Vineyards Cabernet Sauvignon (Langhorne Creek),Cabernet Sauvignon,Lake Breeze,#471163
+1891,Australia,"Softer and more approachable than the winery's powerful 2005, this wine offers lush plum, leather and loam notes, accented by a touch of cracked pepper. It's full-bodied and creamy-textured, with a soft finish that invites another sip. Drink now–2012.",Devils Elbow Single Vineyard,89,25.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Longview 2006 Devils Elbow Single Vineyard Cabernet Sauvignon (Adelaide Hills),Cabernet Sauvignon,Longview,#471163
+1894,Australia,"Sourced largely from the northern end of the region, this features bold blackberry flavors slightly reminiscent of preserves and marked by dark shadings of cola and chocolate. Yet despite the superripe flavors, the wine remains well structured and retains some slightly herbal overtones. Drink now–2012.",Allyson Parsons,89,18.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Craneford 2005 Allyson Parsons Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Craneford,#471163
+1897,Australia,"A very good effort, this may be among the last great values to emerge from Australia, as smaller crops and changing currencies will undoubtedly take their toll. It's remarkable that McLaren Vale fruit can go into a $12 bottle. Black cherry fruit is presented on a medium-bodied, softly tannic frame, embellished by hints of cola and eucalyptus. Finishes soft, with a fine texture of charcoal dust and lingering cassis flavors.",,89,12.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Razor's Edge 2006 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Razor's Edge,#471163
+1903,Australia,"A crisp medium-bodied Cab with good varietal definition, Strathewen Hill's 2005 Cabernet Sauvignon boasts slightly minty cassis-inflected fruit, vanilla and chocolate notes and a smooth mouthfeel. Supple tannins on the finish suggest this will age well through 2012 or so.",,89,30.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Strathewen Hills 2005 Cabernet Sauvignon (Yarra Valley),Cabernet Sauvignon,Strathewen Hills,#471163
+1908,Australia,"A soft, medium-bodied wine that tends toward bright, red-berried fruit, this is a solid everyday Cabernet. Cedar and tobacco-leaf notes accent the cherry-berry fruit, while hints of vanilla and caramel linger elegantly on the finish. Drink now.",,88,14.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Nugan Family Estates 2004 Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Nugan Family Estates,#471163
+1909,Australia,"A real crowd-pleaser, the 2005 Shingleback may not have quite the complexity of the 2004, but it's still a fun, approachable wine. Cola and coffee notes accent plum and blackberry flavors, while the broad texture coats the mouth with soft tannins. Drink now–2012.",,88,22.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Shingleback 2005 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Shingleback,#471163
+1930,Australia,"This is a soft, appealing Chardonnay layered with toasted marshmallow and superripe peach. It's round in the mouth and lushly textured, then turns citrusy—almost metallic—on the finish.",Finisterre,87,30.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2011 Finisterre Chardonnay (Margaret River),Chardonnay,Robert Oatley,#440154
+1934,Australia,"Mint marks the nose of this otherwise darkly attractive wine. Notes of mocha and plum nicely set up the wine, as do the supple tannins, but then there's a jarring edge of prickly acidity that cuts across the palate and disrupts the flow. There are some nice parts here that don't quite come together.",Reiver,87,53.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Mitolo 2009 Reiver Shiraz (Barossa Valley),Shiraz,Mitolo,#471669
+2137,Australia,"Brassy in color and woody in aroma, this Chardonnay is a pleasant enough drink, offering ample weight and modest pear and citrus flavors. Drink it through 2017.",Family Crest,84,21.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2014 Family Crest Chardonnay (McLaren Vale),Chardonnay,Angove,#440154
+2256,Australia,"Not a wine for the faint of heart. Alluring notes of raspberry, blackberry, smoke and coconut set the scene for powerful flavors of strawberry and black pepper in the mouth. Tannins are abundant but polished. The finish is a bit of a disappointment, with a whisper of astringency and a huge hit of coconut. Still, well done and fairly priced. Drink with steak.",,87,16.0,South Australia,McLaren Vale,,,,Ballast Stone Estate Wines 2006 Shiraz (McLaren Vale),Shiraz,Ballast Stone Estate Wines,#471669
+2312,Australia,"From a little-known region of Western Australia, this is a restrained, structured example of Chardonnay that may drink well for 5–6 years. Subtle vanilla and bacon shadings upfront add nuance to the melon and pear aromas. Flavors are of soft, fully ripe tree fruit and melon, but held in check by citrusy notes and crisp acids.",,90,33.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Picardy 2006 Chardonnay (Pemberton),Chardonnay,Picardy,#440154
+2517,Australia,"A perplexing wine to evaluate, the 2010 RunRig (97% Shiraz and 3% Viognier) evolves rapidly once poured, going from slightly stewed and overoaked to a wine that shows considerable class within 20 minutes or so. Aromas and flavors of brown sugar, mocha and roasted meat give way to raspberry compote, while the creamy texture and supple tannins conceal the wine's high alcohol level with ease.",RunRig,94,225.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2010 RunRig Shiraz-Viognier (Barossa Valley),Shiraz-Viognier,Torbreck,#462F7C
+2587,Australia,"The most aromatically complex of the FE 2012 Rieslings, the Poison Hill offers beguiling scents of tangerine sherbet and Earl Grey tea. It's almost too perfumy for its soft, medium-bodied structure and slightly dusty-textured finish, but those floral elements are also its appeal. Drink now–2020+.",Poison Hill Vineyard,90,35.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2012 Poison Hill Vineyard Riesling (Frankland River),Riesling,Frankland Estate,#443982
+2594,Australia,"Made in a superripe, dense, almost fudge-like style, The Ripper tastes like a plummy, chocolaty Christmas cake with slightly coarse tannins on the finish. It's Port-like in flavor, but without the heat from elevated alcohol. Drink it over the next few years.",The Ripper,90,20.0,Western Australia,Geographe,,Joe Czerwinski,@JoeCz,Hope Estate 2010 The Ripper Shiraz (Geographe),Shiraz,Hope Estate,#471669
+2598,Australia,"An easy-drinking introduction to Shiraz from Western Australia's Great Southern region, the 2010 Omrah offers gentle cherry and cedar notes accented by hints of chocolate and roasted meat. It's medium to full bodied, with a round, supple mouthfeel that ends in a wash of softly dusty tannins.",Omrah,90,20.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 2010 Omrah Shiraz (Western Australia),Shiraz,Plantagenet,#471669
+2600,Australia,"There's a lot to like in this effort: ample dark fruit, complex notions of tea leaves and dried grasses, and a richly textured, long finish. The wine is medium bodied and not very tannic, making it easy to sip repeatedly. Drink it over the next 8–10 years.",Finisterre,90,30.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2009 Finisterre Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Robert Oatley,#471163
+2611,Australia,"This is a solid value in the world of Cabernet. Textbook notes of cassis and mint lead the way, framed by supple tannins and dressed up with hints of graham crackers and black tea. This is medium to full in weight, with a mouthwatering, velvety finish that belies its price point. Drink now–2020+.",Book Ends,90,21.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2009 Book Ends Cabernet Sauvignon (Western Australia),Cabernet Sauvignon,West Cape Howe,#471163
+2617,Australia,"Smooth and medium-bodied, with modest cherry scents and cassis and tobacco flavors. Soft and lacking energy on the finish, but clean.",,83,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Black Swan 2006 Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Black Swan,#471163
+2631,Australia,"A drink-now style of warming Shiraz, with plenty of weight and richness, soft tannins and flavors that artfully combine sour plum, cracked pepper, rare beef and chocolate. Drink it over the next few years.",Usual Suspects,90,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hesketh 2008 Usual Suspects Shiraz (McLaren Vale),Shiraz,Hesketh,#471669
+2640,Australia,"This pale salmon rosé is a reliable sparkling wine at a very good price. The latest NV release is toasty on the nose, then offers just faint hints of peach or berry flavors. It's lithe yet creamy on the palate, with a long finish.",Premium Brut Rosé,90,22.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Jansz NV Premium Brut Rosé Sparkling (Tasmania),Sparkling Blend,Jansz,#38578C
+2642,Australia,"Each Jacob's Creek Reserve wine is now sourced from a specific region, and this Chardonnay shows solid improvement as a result. It's medium in body, with notes of grilled pineapple and sweet corn and a brisk, citrusy finish. Drink it over the next 6–9 months.",Reserve,89,13.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Jacob's Creek 2009 Reserve Chardonnay (Adelaide Hills),Chardonnay,Jacob's Creek,#440154
+2949,Australia,"This wine is a bit hard and ungenerous but certainly not lacking in concentration or intensity. Cassis and cedar scents give way to dark, chocolaty flavors. There's not a lot of bright fruit or nuance, but it will ably partner simple grilled meats.",,86,14.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Woolundry Rd 2006 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Woolundry Rd,#471163
+2953,Australia,"Features pleasant but slightly simple flavors of candied cherries and cedar, with a smooth mouthfeel and just a hint of tannin on the finish. Drink now. Imported by Walca International.",,86,19.0,South Australia,Adelaide Plains,,Joe Czerwinski,@JoeCz,Ceravolo 2006 Cabernet Sauvignon (Adelaide Plains),Cabernet Sauvignon,Ceravolo,#471163
+2956,Australia,"There's a tobacco and tomato leaf character that gives this an almost floral aroma, but also simpler cassis and cherry fruit. Some herbal notes persist on the palate, but this medium-bodied wine avoids the vegetal side of things, finishing fresh and clean.",Prelude Vineyards,86,29.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2003 Prelude Vineyards Cabernet Merlot (Margaret River),Cabernet Merlot,Leeuwin Estate,#365B8C
+2958,Australia,"This is a perfectly fine example of Clare Valley Cabernet, one that emphasizes refinement and elegance over sheer power and intensity. Cassis, tobacco and a hint of vanilla account for the bulk of the aromatic and flavor interest, and it turns mouthwatering on the finish. Should hold well through 2015.",,86,37.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pearson Vineyards 2005 Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Pearson Vineyards,#471163
+2965,Australia,"Shows some slightly green tomato-leaf and bell-pepper notes as well as hints of leather and hung game, but despite all that, there's also ripe cassis and chocolate flavors and a supple mouthfeel. Imported by MHW,Ltd.",,85,16.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Red Mud 2004 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Red Mud,#471163
+2971,Australia,"Seems rather oak-dominated, boasting ample brown sugar, vanilla and dill scents backed my some briary, blackberry fruit. Fills out a bit with air, so decant an hour or so prior to serving. Drink now.",,85,24.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse River 2004 Cabernet Sauvignon-Merlot (Margaret River),Cabernet Sauvignon-Merlot,Vasse River,#345F8D
+2981,Australia,"You've got to like oak to appreciate this wine, which is presently dominated by scents of vanilla, mocha and toasted coconut. It's full bodied and velvety in texture, with hints of black cherry lurking in the background.",Special Select,91,50.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2012 Special Select Shiraz (Coonawarra),Shiraz,Penley Estate,#471669
+2982,Australia,"Mouthfilling and round, this wine's savory notes of roasted meat, mocha and cracked pepper frame plummy fruit. Vanilla creeps in on the long, supple finish. Drink now through 2025.",Hyland,91,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2013 Hyland Shiraz (Coonawarra),Shiraz,Penley Estate,#471669
+2993,Australia,"A solid value, the 2013 Pillar Box offers oodles of blackberry and plum fruit, framed by vanilla and accented by mocha. It's creamy-velvety in texture, with a rich long finish. Drink now through 2025.",Pillar Box,91,22.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2013 Pillar Box Shiraz (Padthaway),Shiraz,Henry's Drive Vignerons,#471669
+3080,Australia,"Full bodied and concentrated without being overly heavy or tannic, this is a stunning blend of Shiraz (92%) and Viognier (8%). Hints of roasted or grilled meat and black olive balance the bold blackberry fruit, leaving behind a lingering finish of warmth and dusty cocoa. Drink now–2020.",Descendant,94,105.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2007 Descendant Shiraz-Viognier (Barossa Valley),Shiraz-Viognier,Torbreck,#462F7C
+3092,Australia,"A lively, balanced wine at an accessible price point, Marquee's 2008 Signature Chard boasts aromas of smoke, vanilla and stone fruit and flavors that follow along similar lines, with white peach and pineapple coming to the fore. Drink now–2012.",Signature,88,15.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Marquee 2008 Signature Chardonnay (Yarra Valley),Chardonnay,Marquee,#440154
+3099,Australia,"From a cooler region than its Bin 28 stablemate, Penfolds' 2007 Bin 128 is a medium-bodied Shiraz that features touches of peppery spice, raspberry-cherry fruit and a darker edge of chocolate and coffee. The tannins are supple without being soft, giving this a drinking window that should extend through 2017 or so.",Bin 128,88,26.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penfolds 2007 Bin 128 Shiraz (Coonawarra),Shiraz,Penfolds,#471669
+3135,Australia,"Full-bodied and firm, this dark-fruited Shiraz an be consumed now with rare beef or lamb, or cellared 2–3 years. Cola and blackberry fruit dominate, with notes of chocolate and cedar chiming in on the finish.",,89,17.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Wildberry Estate 2005 Shiraz (Margaret River),Shiraz,Wildberry Estate,#471669
+3277,Australia,"This blend is mainly Shiraz (50%) and Grenache (28%), which accounts for the wine's ample, plummy fruit flavors. Accents of grilled meat and slightly briary overtones add complexity, and the wine finishes dry and savory. Drink now-2012.",The Turk Shiraz-Grenache-Cabernet-Mourvèdre,87,18.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2005 The Turk Shiraz-Grenache-Cabernet-Mourvèdre Red (Barossa Valley),Red Blend,Turkey Flat,#3F4788
+3288,Australia,"Smoky, cedary notes nicely complement the blueberry fruit in this McLaren Vale Shiraz. It's pretty full on the palate, with a slightly syrupy texture that extends the flavors through a mouthwatering finish. Drink now-2012.",Uncut,87,24.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Gemtree 2006 Uncut Shiraz (McLaren Vale),Shiraz,Gemtree,#471669
+3363,Australia,"Lean, tight and austere, this textbook Eden Valley Riesling should develop well over the next 5–8 years, reaching maturity around 2022. Scents of petrichor and tangerine ease into tart lemon-lime notes on the palate, ending tart and mouthpuckering.",Eden Trail,92,18.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Thorn Clarke 2014 Eden Trail Riesling (Eden Valley),Riesling,Thorn Clarke,#443982
+3451,Australia,"An innovative blend of Sauvignon Blanc (53%), Semillon (37%) and Viognier (10%), this medium-bodied wine delivers a mix of figs and melons, underscored by a silky texture. Ready to drink.",Scrubby Rise,88,15.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,Wirra Wirra 2015 Scrubby Rise White (Adelaide),White Blend,Wirra Wirra,#32638D
+3454,Australia,"This hand-picked, wild-fermented Chardonnay offers a lot to like. Notes of toasted grain, ripe pear and melon create a balanced blend of citrusy fruit and oaky spice, while the refreshing pineapple and clove notes linger on the finish.",,88,21.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Hill-Smith Estate 2014 Chardonnay (Adelaide Hills),Chardonnay,Hill-Smith Estate,#440154
+3459,Australia,"Pretty aromas of cherry and plum blossoms give way to fully ripe, slightly confectionary fruit, backed by hints of mocha. This medium-bodied Pinot Noir is supple in texture and softly dusty on the finish, making it an easy one to drink over the next couple of years.",The Dagger,88,21.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Riposte 2015 The Dagger Pinot Noir (Adelaide Hills),Pinot Noir,Riposte,#414286
+3532,Australia,"Vasse Felix's impressively consistent track record with Cabernet continues with the 2009, a mouth-filling, supple wine that still retains a modicum of structure. Bold cassis fruit is balanced by earthy, meaty complexity and finishes long and mouthwatering. Drinkable now, but it should hold easily through 2020, and possibly longer.",,92,38.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2009 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Vasse Felix,#471163
+3534,Australia,"D'Arenberg's The Coppermine Road is always structured—sometimes to excess—but the 2009 vintage seems to have the requisite flesh to age successfully. Cedar, chocolate and cassis notes surround a firm core of dusty tannins. Drink from 2015–2025, and possibly beyond.",The Coppermine Road,92,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2009 The Coppermine Road Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,D'Arenberg,#471163
+3547,Australia,"An austere Riesling in the traditional Australian style, the 2012 Isolation Ridge Riesling appears destined to have a long life. Penetrating lime aromas lead into a palate that's high strung and tight, but lined with mouthwatering fruit. An electric vibrancy of citrus and wet stones lingers on the finish. Drink now–2030.",Isolation Ridge Vineyard,92,40.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2012 Isolation Ridge Vineyard Riesling (Frankland River),Riesling,Frankland Estate,#443982
+3554,Australia,"This luxury cuvée from Thorne Clarke combines ripe berries with cinnamon and clove, then adds dollops of vanilla and chocolate, yet never seems overly sweet. Likewise, it's full bodied and rich, yet never goes over the top, maintaining a sense of freshness and structure. Drink now–2020, and possibly beyond.",William Randell,92,50.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Thorn Clarke 2010 William Randell Shiraz (Barossa),Shiraz,Thorn Clarke,#471669
+3594,Australia,"Pale straw with a touch of green to its hue, this is a soft, easygoing Moscato redolent of oranges and pineapples. Finishes fresh and clean despite considerable sweetness.",Emeri Moscato,86,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli NV Emeri Moscato Sparkling (South Eastern Australia),Sparkling Blend,De Bortoli,#38578C
+3595,Australia,"A pleasant, sweet little sipper, with more richness than many Australian Moscatos, balanced through a slight touch of bitterness on the finish. Orange and spice notes are joined by just a faint hint of berry fruit.",Emeri Pink Moscato,86,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli NV Emeri Pink Moscato Sparkling (South Eastern Australia),Sparkling Blend,De Bortoli,#38578C
+3598,Australia,"Really dark, vibrant purple in color, with oak-inflected notes of cedar, vanilla and chocolate layered over black cherries. It's on the soft, slightly sweet side, but offers an easy-to-drink mouthful of sparkling Shiraz.",The Scarlet Letter Sparkling,86,20.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons NV The Scarlet Letter Sparkling Shiraz (Padthaway),Shiraz,Henry's Drive Vignerons,#471669
+3679,Australia,"This seems to be an attempt at an Italianate style, with modest alcohol levels (11%) and the accompanying lack of fruit expression. It's largely neutral, with hints of underripe pear and white pepper that combine with chalky notes on the finish.",,84,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2009 Pinot Grigio (South Eastern Australia),Pinot Grigio,Jacob's Creek,#423D84
+3880,Australia,"Juicy and extracted, with bright jam tones and an open-knit structure. There's plenty of berry fruit here and a nice plum tone to the palate that carries over to the fleeting finish. A good choice for a big crowd.",,86,12.0,South Australia,South Australia,,,,Hellbent 2008 Shiraz-Cabernet Sauvignon (South Australia),Shiraz-Cabernet Sauvignon,Hellbent,#460B5E
+3886,Australia,"A solid value, the Marquee Victoria Chardonnay has an appealing restraint, hitting pretty high notes on the nose but turning serious and weighty in the mouth. The cream and papaya flavors reach a nice intensity before fading to a mouthwatering finish of guava and pine nuts. Drink now.",Classic,86,12.0,Victoria,Victoria,,,,Marquee 2008 Classic Chardonnay (Victoria),Chardonnay,Marquee,#440154
+3947,Australia,"Earthy and tealike, with those attributes framed by charred, nutty oak. It's supple enough to be balanced for immediate consumption.",Deen De Bortoli Vat 10,83,15.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2009 Deen De Bortoli Vat 10 Pinot Noir (South Eastern Australia),Pinot Noir,De Bortoli,#414286
+3949,Australia,"Yellow Tail's sparkler is an aromatic blend of Semillon, Traminer, Viognier and Trebbiano that manages to be largely neutral on the palate at the same time it's perfumed on the nose. Frothy and off dry.",Bubbles Sparkling White Wine,83,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail NV Bubbles Sparkling White Wine Sparkling (South Eastern Australia),Sparkling Blend,Yellow Tail,#38578C
+3952,Australia,"Herbal and green peppercornish, with dark berry flavors and herbal-vegetal notes. Light and crisp; complex for the price.",DB Family Selection,83,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2008 DB Family Selection Shiraz (South Eastern Australia),Shiraz,De Bortoli,#471669
+4099,Australia,"Spicy and floral on the nose, this is surprisingly round and soft for an Australian Riesling, but still attractive. Try it young as an apéritif, where the gentleness will subtly prime your palate for things to come.",The Y Series,86,12.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2014 The Y Series Riesling (Barossa),Riesling,Yalumba,#443982
+4137,Australia,"Peppers and cloves accent cherry-berry fruit on the nose of this single-vineyard wine. On the palate, it's full bodied and deep and silky in texture, with a long spice-inflected finish.",The Derelict Vineyard,90,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Derelict Vineyard Grenache (McLaren Vale),Grenache,D'Arenberg,#481C6E
+4324,Australia,"Lifted and juicy, this impressive effort from Western Australia shows woodsy, cedary notes on a restrained nose. The palate is drenched in gorgeous cassis and cherry cordial fruit framed by gentle tannins. The crisp finish will cut through steak or pork dishes. Imported by America Uncorked.",Awakening,89,25.0,Western Australia,Margaret River,,,,Watershed 2005 Awakening Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Watershed,#471163
+4332,Australia,"Vanilla and fresh lumber notes lead the way, but gardenia and stone fruits emerge in the mouth and lead to a long, creamy finish remniscent of a peach milkshake. A final kick of acidity keeps the whole thing balanced.",Single Vineyard,88,24.0,South Australia,McLaren Vale,,,,Yangarra Estate Vineyard 2007 Single Vineyard Viognier (McLaren Vale),Viognier,Yangarra Estate Vineyard,#45347F
+4333,Australia,"Usually one of Yarra's top Pinots, the 2006 YS Reserve is a medium-bodied, rounded wine with extremely soft tannic structure. The aromas hint at brown sugar, coffee and cola, with flavors of roasted root vegetables and a touch of mushroom. Supple and silky on the finish. Drink now.",Reserve,88,60.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2006 Reserve Pinot Noir (Yarra Valley),Pinot Noir,Yering Station,#414286
+4669,Australia,"Delicate and light-bodied with plenty to love in the nose, including irresistible notes of bread dough, strawberry and lemon which turn to fresh cherries in the mouth. The finish is focused and very crisp—just a few paces short of tart, actually. This wine screams for raw oysters.",Brut Méthode Traditionelle Sparkling Wine,89,20.0,Tasmania,Tasmania,,,,42°S NV Brut Méthode Traditionelle Sparkling Wine  (Tasmania),Champagne Blend,42°S,#30678D
+4723,Australia,"Blended from Yarra Valley and King Valley fruit, this light-bodied Pinot Noir is silky in texture, with a lingering finish. Modest red fruit combines with earthier notes of parsnip. Drink now.",,87,14.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Shoofly 2014 Pinot Noir (Victoria),Pinot Noir,Shoofly,#414286
+4928,Australia,"Light and fresh in style, with pleasant cherry fruit accented by delicate notes of green herbs and sous bois. It's a pretty wine, quaffable even, with hints of charred oak and coffee showing up on the finish. Drink now.",,86,28.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Josef Chromy 2009 Pinot Noir (Tasmania),Pinot Noir,Josef Chromy,#414286
+4942,Australia,"This value-priced label has turned out a notably successful 2009 Shiraz, combining red currants with enough meaty, savory elements to possess real interest. It's medium in body and fleshy yet crisp, making it very drinkable over the near term.",,86,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Bulletin Place 2009 Shiraz (South Eastern Australia),Shiraz,Bulletin Place,#471669
+4992,Australia,"Shaw and Smith's Sauvignon Blanc has become emblematic of the Adelaide Hills style, combining tropical fruit with a grassy streak, all framed by zippy citrus flavors. This would work equally as an apéritif or with various seafood dishes.",,88,25.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shaw and Smith 2008 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Shaw and Smith,#482172
+5088,Australia,"This starts off with promisingly vibrant aromas of passion fruit and pink grapefruit, but seems a bit weighty and thickly textured in the mouth. The fruit remains the bold centerpiece, while the finish shows some alcoholic warmth.",Hazard Hill,86,13.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 2011 Hazard Hill Sauvignon Blanc-Semillon (Western Australia),Sauvignon Blanc-Semillon,Plantagenet,#3C4E8A
+5149,Australia,"Medium and smooth in the mouth, Jacob's Creek's top Chard (check?) has stone and star fruits at its core, and a sleek mineral quality. Creamy on the nose, but with a lively lime streak that keeps it crisp. Finishes medium-long with drying minerals.",Limited Release,89,33.0,South Australia,Padthaway,,,,Jacob's Creek 2000 Limited Release Chardonnay (Padthaway),Chardonnay,Jacob's Creek,#440154
+5156,Australia,"The 2007 Hickinbotham features attractive scents of ground spices, leather and red cherries, but doesn't seem to have the richness and depth of CH's other Grenaches this year. Tart cherry-berry fruit fades into finely textured tannins on the finish. Drink now–2015.",Hickinbotham,87,45.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2007 Hickinbotham Grenache (Clarendon),Grenache,Clarendon Hills,#481C6E
+5157,Australia,"Hints at cedar, spice and dark fruit on the nose, then turns unexpectedly tart on the palate. The tannins are soft, leaving the acidity to provide a counterbalance to the ripe fruit. Drink now.",The Custodian,87,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Custodian Grenache (McLaren Vale),Grenache,D'Arenberg,#481C6E
+5290,Australia,"This medium-bodied Shriaz displays a soft, creamy, inviting mouthfeel and a piquant counterpoint in its flavors of tart cherries and mulling spices. It's an easy-drinking wine that ends on a cranberry note.",,88,13.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Hope Estate 2009 Shiraz (Hunter Valley),Shiraz,Hope Estate,#471669
+5291,Australia,"Innocent Bystander has been ahead of the Moscato curve, making this wine for a number of years, and it has always been among the best from Australia. The 2011 is perfumed and spicy, with ample strawberry and cherry fruit and a soft, frothy feel in the mouth. Drink it over the next six months or so.",,88,14.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Innocent Bystander 2011 Moscato (Victoria),Moscato,Innocent Bystander,#2F6A8D
+5293,Australia,"Katnook's top Cabernet is always oaky, and the 2006 is no exception, featuring plenty of brown sugar and caramel aromas. Vanilla and cedar dominate the palate, forming an attractive wooden shell over cassis fruit. Drink it now if you like that sort of full-on youthful oak, or hold it a decade until it develops a soft, rich patina of age.",Odyssey,88,43.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Katnook Estate 2006 Odyssey Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Katnook Estate,#471163
+5294,Australia,"Coonawarra's not known for Sauvignon Blanc, but this is a very good example. It's medium in weight and dominated by citrus, but it also sneaks in some slightly tropical nuances before ending in a zesty, mouthwatering finish. Drink now.",,88,22.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Katnook Estate 2009 Sauvignon Blanc (Coonawarra),Sauvignon Blanc,Katnook Estate,#482172
+5301,Australia,"Despite the inexpensive price tag, this is a solid Shiraz, offering ripe black cherry fruit and touches of tree bark and orris root. It's medium-bodied, yet features a velvety texture and plenty of length on the finish. Drink now–2015.",,88,10.0,Australia Other,Central Ranges,,Joe Czerwinski,@JoeCz,Rolling 2009 Shiraz (Central Ranges),Shiraz,Rolling,#471669
+5305,Australia,"This takes a page from California in its naming convention and style, which includes a good proportion of barrel-fermentation and oak maturation. Toast and vanilla frame melon and fig notes, and the midpalate is slightly creamy in texture before the wine turns crisp and lemony on the finish. Drink now.",Three Monks Fumé Blanc,88,20.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Taltarni 2009 Three Monks Fumé Blanc Sauvignon Blanc (South Eastern Australia),Sauvignon Blanc,Taltarni,#482172
+5420,Australia,"This is fairly subtle for a Sauvignon, offering struck flint, fig and melon aromas. In the mouth, it's medium in weight, with hints of pink grapefruit and red currant. The finish is long and silky. Drink now.",Fresh As A Daisy,88,35.43766346992153,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Evans & Tate 2015 Fresh As A Daisy Sauvignon Blanc (Australia),Sauvignon Blanc,Evans & Tate,#482172
+5618,Australia,"Well priced for the quality, Chapel Hill's Shiraz-Grenache is barely a blend, with only 10% Grenache. It comes across as a nicely complex, easy-drinking Shiraz, marrying mulberry fruit with hints of chocolate, cracked pepper and fresh herbs. The texture is plush and the finish long; a super value at under $20 to drink now and over the next few years.",,90,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Chapel Hill 2006 Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,Chapel Hill,#2D6E8E
+5623,Australia,"Henschke is best known for its red wines, but the 2005 Louis Sémillon shows they know a thing or two about whites as well. It combines some toasty, smoky characters with herbal notes on the nose, then develops flavors of wax, spice and citrus, lingering elegantly on the finish. Tasty now, but might develop even more interesting complexities with additional age.",Louis,90,27.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2005 Louis Semillon (Eden Valley),Sémillon,Henschke,#2C728E
+5831,Australia,"A well-structured steak wine, this Shiaz wraps chocolate, lush berry and meaty aromas and flavors into a full body, with chewy tannins and a savory, juicy finish.",The Bolter,88,16.0,South Australia,South Australia,,,,Mr. Riggs 2014 The Bolter Shiraz (South Australia),Shiraz,Mr. Riggs,#471669
+5867,Australia,"This medium-bodied Cabernet shows some of the variety's hallmark austerity in its firm structure. Cassis, sage and red currant aromas and flavors finish crisp and lingering. Drink now with rare beef or lamb, or hold and drink 2020–2025.",,88,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2015 Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+5978,Australia,"Broad and ripe, this wine offers hints of lemon curd, crushed stone and cashew butter. Ripe melon fruit flavors dominate the palate, even suggesting honey at times, while anise notes provide a bit of lift on the finish. Drink now.",Reserve,87,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Lismore Range 2015 Reserve Chardonnay (South Eastern Australia),Chardonnay,Lismore Range,#440154
+6035,Australia,"Blackberry, herb, tobacco and a menthol note mark the nose of this full but not heavy red. The fruit is ripe, sweet and unburdened by excess oak. The long, juicy cherry and licorice finish sports no hard tannins. Lovely for drinking now.",Reserve,89,16.0,South Australia,Limestone Coast,,,,Heritage Road 1998 Reserve Cabernet Sauvignon (Limestone Coast),Cabernet Sauvignon,Heritage Road,#471163
+6049,Australia,"Fruit-forward is the best way to describe this juicy, totally accessible red. Rich berry flavors, just a faint meaty-leathery note for a touch of complexity, and a smooth even finish complete the package. Best Buy.",,88,10.0,South Australia,South Australia,,,,Heritage Road 1998 Shiraz (South Australia),Shiraz,Heritage Road,#471669
+6154,Australia,"The top Australian Cabernets retain distinct varietal character without veering into overly green territory. This one features hints of mint and tobacco alongside cassis and coffee. The texture is a treat: creamy at first, then firming up on the finish. Drink now-2015.",,89,32.0,Victoria,Pyrenees,,Joe Czerwinski,@JoeCz,Taltarni 2004 Cabernet Sauvignon (Pyrenees),Cabernet Sauvignon,Taltarni,#471163
+6359,Australia,"Named for one of Barossa's top vineyards, this blends fruit from Barossa, McLaren Vale, Clare Valley and Langhorne Creek into a splendid warm-climate Shiraz. It's full bodied, dense and dusty in texture, with rich dark-fruit flavors of dates, blackberries and blueberries. Hints of baking spices and mocha from the barrel-aging should integrate nicely over the next several years. Drink 2017–2025.",Bin 28 Kalimna,93,30.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2012 Bin 28 Kalimna Shiraz (South Australia),Shiraz,Penfolds,#471669
+6373,Australia,"This is another top-flight example of how good the 2012 vintage was for South Australian Shiraz. The oak here is so subtle as to not factor into the wine's scents of raspberry and cracked pepper. Hints of spice and vanilla mark the palate, gently accenting red berry fruit before ending in a flood of silky tannins. Drink now–2030.",Entity,93,40.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,John Duval Wines 2012 Entity Shiraz (Barossa),Shiraz,John Duval Wines,#471669
+6648,Australia,"Lush and mouthfilling, this tropical-fruited Chard offers a ton of flavors at a surprisingly small price. Smoky toasted-almond notes accent star fruit and guava flavors. Drink now–2011.",Frasca's Lane Vineyard,90,19.0,Victoria,King Valley,,Joe Czerwinski,@JoeCz,Nugan Family Estates 2008 Frasca's Lane Vineyard Chardonnay (King Valley),Chardonnay,Nugan Family Estates,#440154
+6662,Australia,"Consumers are reaping the benefit of Australia's Chardonnay grape glut. This elegant, refined, cool-climate Chardonnay comes at a bargain price for its flavors of lightly grilled pineapple, melon, citrus and hazelnut. Drink now–2012.",,90,21.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Sticks 2008 Chardonnay (Yarra Valley),Chardonnay,Sticks,#440154
+6941,Australia,"Petrol and citrus aromas and flavors merge seamlessly in this medium-bodied dry Riesling. It seems atypically round for such a young Eden Valley Riesling, so maybe not a long-term proposition, but it goes down easily now, with a long, slightly oily finish.",Julius,89,30.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2007 Julius Riesling (Eden Valley),Riesling,Henschke,#443982
+6944,Australia,"Not quite as impressive as some other vintages, the 2002 Print Shiraz boasts plenty of color but lacks some nuance and freshness. Aromas of baking spices are tinged with coffee, anise and dates, while the flavors of dried fruit and chocolate dominate the palate. It's big and mouthfilling, with 15% alcohol.",Print,89,35.0,Victoria,Central Victoria,,Joe Czerwinski,@JoeCz,Mitchelton 2002 Print Shiraz (Central Victoria),Shiraz,Mitchelton,#471669
+6982,Australia,"On the riper spectrum rather than youthful and fresh, this shows wet wool, ripe lemons and stone fruit, with a hint of green beans and florals. The palate is backed by searing acidity and a slightly woolly texture. Rather simple in style but it clearly shows the characters of both the Sauvignon Blanc and the Sémillon.",,86,20.0,Western Australia,Margaret River,,,,Clairault 2016 Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Clairault,#3C4E8A
+6986,Australia,"There's a fair lick of dried wood notes on this straightforward sipper. The fruity strawberry and blueberry core is plush and pleasing, as is the soft grip of tannins at the backend.",Stamp of Australia,86,8.0,Australia Other,South Eastern Australia,,,,Hardys 2014 Stamp of Australia Shiraz (South Eastern Australia),Shiraz,Hardys,#471669
+7072,Australia,"There's 10% Zinfandel blended into this wine, but looking at my notes, I never would've thought so. The pale color is all Pinot Noir, as are the aromas of earth and tomato (the vanilla comes from the French oak barrels). It's light and crisp, with a tart finish.",Are You Game?,84,17.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Fowles Wine 2012 Are You Game? Pinot Noir (Victoria),Pinot Noir,Fowles Wine,#414286
+7081,Australia,"De Bortoli's 2006 Estate Grown Pinot Noir lacks the bright fruit and user-friendliness of its Gulf Station or Windy Peak bottlings. Maybe it's too serious for its own good? This medium-bodied wine features leather, mushroom and molasses, and rather crisp acids as well.",Estate Grown,82,41.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2006 Estate Grown Pinot Noir (Yarra Valley),Pinot Noir,De Bortoli,#414286
+7082,Australia,"Aromas of sour cherry and cooked strawberries lead the way in this tart, herbal Pinot Noir. It's lean and crisp, failing to deliver much in the way of pleasure, although there's nothing technically wrong with it.",Sexton Vineyard,82,30.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2006 Sexton Vineyard Pinot Noir (Yarra Valley),Pinot Noir,Giant Steps,#414286
+7297,Australia,"The blend is 55% Grenache, 25% Shiraz and 20% Mourvèdre, but while this is a full-bodied wine, it's not overdone or bombastic. The masses of dark fruit are reined in by crisp acids and a layer of supple tannins, adding depth to the cassis, vanilla and mint flavors. Drink now through 2020.",Family Crest Grenache-Shiraz-Mourvèdre,90,21.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2014 Family Crest Grenache-Shiraz-Mourvèdre Red (McLaren Vale),Rhône-style Red Blend,Angove,#2A768E
+7387,Australia,"The 2008 Brookman Syrah is a rich, plush, luxurious wine. Aromas of cedar, vanilla and black cherry set the stage, while the palate features intense dark fruit layered with hints of olive and coffee. It's full bodied and creamy in texture, showing just a touch of warmth on the supple finish. Drink now–2020.",Brookman,92,75.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2008 Brookman Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+7431,Australia,"A well-balanced and straightforward wine, the Tintara is medium-bodied and creamy in the mouth, with stone fruit and vanilla flavors. Butterscotch, and maybe some nuttiness, wraps it up on the finish.",Tintara,86,15.0,South Australia,Adelaide Hills,,,,Hardys 2001 Tintara Chardonnay (Adelaide Hills),Chardonnay,Hardys,#440154
+7447,Australia,"This medium-bodied Chard has some butterscotch notes on the nose, but thankfully lacks similarly overpowering flavors on the palate. Some citrus flavors accent the wine's peachy core; finishes a little watery.",,85,20.0,Victoria,Yarra Valley,,,,Yering Station 2000 Chardonnay (Yarra Valley),Chardonnay,Yering Station,#440154
+7484,Australia,"Kalbarri's Cab boasts plenty of red-berry flavors and a soft, easygoing, maybe even slightly sweet, finish.",Bin Select 513,83,7.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Kalbarri 2006 Bin Select 513 Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Kalbarri,#471163
+7517,Australia,"Phil Sexton's wines under the Giant Steps label are becoming more consistent, and the 2014s may be his best yet. This is a medium- to full-bodied wine, with a supple, creamy texture and lingering notes of spring flowers and black cherries. Subtle oaking adds brown sugar and mocha shadings to the crisp finish. Drink now–2022.",Sexton Vineyard,92,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2014 Sexton Vineyard Pinot Noir (Yarra Valley),Pinot Noir,Giant Steps,#414286
+7658,Australia,"Yes, a certain amount of acidity is desirable in Australian Riesling, but this one is exceedingly lean and crisp. Perhaps it will blossom with age, but for now it is simply intensely citrusy and rather skinny. Pair it with oysters, or put it in a cool dark place and hope for the best.",Grand Barossa,85,16.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Château Tanunda 2010 Grand Barossa Riesling (Barossa),Riesling,Château Tanunda,#443982
+7712,Australia,"This medium-bodied Chardonnay boasts a fair degree of complexity for its modest tariff: slightly toasty, nutty aromas lead into flavors of hazelnut, ripe peach and citrus. A solid effort.",Deen de Bortoli Vat 7,86,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2007 Deen de Bortoli Vat 7 Chardonnay (South Eastern Australia),Chardonnay,De Bortoli,#440154
+7740,Australia,"The 2015 Estate Chardonnay is a fruit-foward wine, offering bright pineapple and citrus flavors that reverberate on the refreshing finish. On the whole, it is straightforward, with an approachable texture.",Estate,88,56.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Kooyong 2015 Estate Chardonnay (Mornington Peninsula),Chardonnay,Kooyong,#440154
+7785,Australia,"This wine starts off a bit tarry at first, with scents of asphalt and roasted meat that then give way to brighter notes of blackberry and vanilla. On the palate, it's full, supple and rich, with a finish marked by hints of campfire and cherry.",The Blind Tiger Single Vineyard,92,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Blind Tiger Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+7800,Australia,"This bottling is consistently among the best Margaret River Chardonnays, and the 2013 doesn't disappoint. Subtle notes of grilled peach and pineapple slices are carried by ample weight and richness on the midpalate, then gain focus and fold in citrus flavors on the long finish.",Heytesbury,92,70.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2013 Heytesbury Chardonnay (Margaret River),Chardonnay,Vasse Felix,#440154
+7808,Australia,"Very berry, with sour candy scents and cooked red fruit flavors floating over a base of seasoned leather. Juicy, medium finish. Drink up.",Little Flinders,87,19.0,South Australia,Southern Flinders Ranges,,,,Flinders Run 2008 Little Flinders Shiraz-Cabernet Sauvignon (Southern Flinders Ranges),Shiraz-Cabernet Sauvignon,Flinders Run,#460B5E
+7818,Australia,"There aren't many white wines coming out of Langhorne Creek, but this Verdelho is a good one, offering crisp, citrusy notes of pear and pineapple, medium body and a clean, refreshing finish. Drink now.",Potts' Catch,87,14.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Bleasdale 2009 Potts' Catch Verdelho (Langhorne Creek),Verdelho,Bleasdale,#277D8E
+7822,Australia,"A young wine, dark purple in color, whose aromas are dominated now by oak. The sweet, sappy vanilla scents mask the grapes, but not in the mouth, where jammy berry fruit is powerfully ripe. Fortunately, the wine is dry, with lively acids. —S.H.",Miamba,87,15.0,South Australia,Barossa Valley,,,,Grant Burge 1999 Miamba Shiraz (Barossa Valley),Shiraz,Grant Burge,#471669
+7828,Australia,"Smells like Pinot, combining leather, smoke and tart cherry aromas. In the mouth, this light-to-medium-weight wine doesn't show a lot of fruity flavors, but rather leather, dried spices and dusty notes. Juicy cherries gradually emerge on the finish.",,87,39.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Stefano Lubiana 1999 Pinot Noir (Tasmania),Pinot Noir,Stefano Lubiana,#414286
+7829,Australia,"This full-bodied effort goes down surprisingly easy. Aromas of shoe polish, black plums and a dash of black pepper presage flavors of blackberry, plum and brandied spice cake. Finishes with warm notes of chocolate and spice. —J.C.",,87,21.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kangarilla Road 2000 Shiraz (McLaren Vale),Shiraz,Kangarilla Road,#471669
+7831,Australia,"It seems as if the emphasis is more on the oak than on the fruit. But the oak is darn tasty—toasty, vanillin and bringing all sorts of dried-spice complexities to the table. The wine is creamy and full enough to support the oak, even if the cherry-berry flavors do take a back seat. —J.C.",Wilgha,87,34.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Hollick 1998 Wilgha Shiraz (Coonawarra),Shiraz,Hollick,#471669
+7832,Australia,"At 93% Shiraz, many wineries would have just labeled it as Shiraz, but not Hollick. The wine itself has lots of tart, almost sour, cherry fruit that marries well with the earthy, bitter undercurrents. Very smooth and supple in the mouth. Only light tannins make this a wine to drink now. —J.C.",,87,17.0,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Hollick 1999 Shiraz-Cabernet Sauvignon (Limestone Coast),Shiraz-Cabernet Sauvignon,Hollick,#460B5E
+7838,Australia,"This kitchen-sink blend boasts a high percentage of Petit Verdot (38%), which may account for its dramatic floral aromatics. Aside from roses, cherries also play a role. In the mouth, complex floral-herbal elements have a solid underpinning of cherries and raspberries, finishing with just enough tannins to stand up to rare beef. —J.C.",Quartet,87,24.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Craneford 2000 Quartet Red (Barossa Valley),Red Blend,Craneford,#3F4788
+7849,Australia,"A soft, round wine that almost seems designed for glugging. Dusty earth and dried grass aromas give way to a sweet, alcoholic attack filled with red berries and cherries. The warm, spirity finish leaves you glowing and reaching for another sip. —J.C.",Bradey Block,87,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Oliverhill 2000 Bradey Block Grenache (McLaren Vale),Grenache,Oliverhill,#481C6E
+7916,Australia,"Representative of the solid values that may be found from Australia for about $20, this medium- to full-bodied Shiraz offers a blend of cherry and plum flavors, with savory elements of mocha and roasted meat. It's slightly dusty on the finish, making it food-friendly, ending with hints of cocoa and coffee. Drink now–2018.",Catapult,90,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2012 Catapult Shiraz (McLaren Vale),Shiraz,Wirra Wirra,#471669
+7918,Australia,"The Angove family is crafting some increasingly interesting wines in recent years. This blend of 55% Grenache, 25% Shiraz and 20% Mourvèdre features intriguing notes of cola, brown sugar and cinnamon layered over a plush base of ripe black cherries. It's mouthfilling and round, with a soft, licorice-tinged finish. Drink now–2018.",Family Crest,90,21.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2013 Family Crest G-S-M (McLaren Vale),G-S-M,Angove,#26818E
+7932,Australia,"Despite a reported alcohol level that's moderate for its genre, this feels nicely full and rounded on the palate. Hints of vanilla and sarsaparilla accent flavors of cherries, plums and chocolate, while the tannins are supple and creamy in texture. Drink now–2018.",The Strapper Grenache-Shiraz-Mataro,90,19.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2012 The Strapper Grenache-Shiraz-Mataro G-S-M (Barossa),G-S-M,Yalumba,#26818E
+7941,Australia,"This inexpensive Shiraz (60%) and Cab (40%) blend represents a solid value, blending cassis and dark coffee flavors with hints of mint and bell pepper. The green notes are adequately balanced by ripe fruit, and the tannins are extremely supple, finshing on a velvety note.",Promised Land,88,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wakefield 2005 Promised Land Shiraz-Cabernet Sauvignon (South Australia),Shiraz-Cabernet Sauvignon,Wakefield,#460B5E
+7951,Australia,"Features some superb elements that come off as a bit disjointed—perhaps it just needs some time? High-toned cherry fruit picks up some herbal notes and peppery cinnamon flavors, then finishes crisp, with hints of orange pekoe tea.",Clarendon,88,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Oliverhill 2006 Clarendon Shiraz (McLaren Vale),Shiraz,Oliverhill,#471669
+8172,Australia,"Medium to full in weight and opulent in texture, this is a buttery creamy wine that reflects its South Australian origin. Broad and rich, it's a throwback to a previous generation's style of Chardonnay.",A Thousand Words,87,18.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Lambert 2014 A Thousand Words Chardonnay (Barossa Valley),Chardonnay,Lambert,#440154
+8176,Australia,"Slightly smoky grilled-toast aromas lead into a plump medium-bodied wine filled with flavors of yellow plum, tangerine and lime. It's not particularly zesty or linear in a true cool-climate fashion, but steers clear of ripe tropical fruit, ending on a gentle note of citrus pith. Drink now.",Cool Climate,87,16.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,McWilliam's 2014 Cool Climate Chardonnay (Australia),Chardonnay,McWilliam's,#440154
+8585,Australia,"This doesn't have the sheer breadth of many Australian Viogniers, but it offers more structure and length on the palate. Vibrant lemon-lime and pineapple aromas set the stage for flavors of tropical fruit and lemon custard. There's a slightly creamy texture and a lingering finish. Imported by Tom Eddy Wines.",Estate Grown,89,30.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,The Lane 2006 Estate Grown Viognier (Adelaide Hills),Viognier,The Lane,#45347F
+8588,Australia,"Nearly a Best Buy, this Riesling offers early drinkability relative to many of its Clare cousins. Mixed citrus and crushed-stone aromas mark the nose, while the medium-bodied palate finishes long, with what seems to be a touch of sweetness. Drink now–2010.",Destinations,89,15.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Long Flat 2006 Destinations Riesling (Clare Valley),Riesling,Long Flat,#443982
+8590,Australia,"On the side, with a hint of warmth on the finish, this is nevertheless a very good wine. The aromas are powerfully mineral, accented by bold lime notes, while the flavors are intense and concentrated. Drink now.",,89,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2006 Riesling (Clare Valley),Riesling,Wakefield,#443982
+8596,Australia,"From a reliable Clare Valley producer, Pikes 2006 Dry Riesling appears to be an ageworthy effort, boasting plenty of crisp intensity. Lime, grapefruit and green apple notes are classic Riesling markers, ending long and mouthwatering. Drink now–2016, possibly beyond. Imported by USA Wine West.",Dry,89,25.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pikes 2006 Dry Riesling (Clare Valley),Riesling,Pikes,#443982
+8932,Australia,"Dark and rich, with aromas of cola and coffee and flavors of plum and cola. This is full-bodied, its 14.5% alcohol balanced by fruit intensity and richly textured tannins and the long finish. Drink 2010–2020.",D Block Reserve,91,50.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Shingleback 2005 D Block Reserve Shiraz (McLaren Vale),Shiraz,Shingleback,#471669
+8933,Australia,"Although this winery is better known for its Shiraz, I have been a consistent fan of its Riesling as well. The 2006 offers scents of powdered minerals and lime followed by flavors of apple and citrus. It's medium-bodied but muscular, with plenty of intensity that comes through on the long finish. Drink now–2016.",,91,21.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Mount Langi Ghiran 2006 Riesling (Victoria),Riesling,Mount Langi Ghiran,#443982
+8937,Australia,"A dark and hearty McLaren Vale Shiraz, with plenty of weight and tannin and concentrated cola, black olive and leather flavors. Hints of mulberry, cedar and vanilla lighten it just enough, but this wine could use another few years before entering its prime drinking window. Finishes long and richly tannic. Drink 2010–2020.",Lloyd Reserve,91,75.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Coriole 2005 Lloyd Reserve Shiraz (McLaren Vale),Shiraz,Coriole,#471669
+9004,Australia,"A solid effort that should have broad commercial appeal, Yangarra's 2006 Grenache displays a squeaky-clean bouquet of black cherries, mixed berries and a touch of vanilla. It's soft and velvety in the mouth, with a full, round presence, mixed fruit flavors and a touch of wood spice. Drink now–2010.",Old Vine Single Vineyard,88,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2006 Old Vine Single Vineyard Grenache (McLaren Vale),Grenache,Yangarra Estate Vineyard,#481C6E
+9011,Australia,"Dark and taut, this is layered with lots of herbs, cedar and smoke backed by blackberry and cherry fruit. The racy palate is framed by branchy tannins and cassis flavors that linger on the medium finish.",Prelude Vineyards,88,29.0,Western Australia,Margaret River,,,,Leeuwin Estate 2004 Prelude Vineyards Cabernet Merlot (Margaret River),Cabernet Merlot,Leeuwin Estate,#365B8C
+9017,Australia,"The opaque eggplant hue of this stunning value promises much—and what's in the glass delivers. Prominent oaky notes are layered over plum and high-toned floral aromas. Dense and voluptuous on the palate, with chewy tannins, this is a seriously ambitious wine that could benefit from a year or two in the bottle.",The Reserve,88,11.0,Australia Other,South Eastern Australia,,,,Yellow Tail 2006 The Reserve Merlot (South Eastern Australia),Merlot,Yellow Tail,#24848D
+9023,Australia,"A solid effort, this Shiraz-Viognier blend offers up raspberry and strawberry scents punctuated by more pungent notes of road tar, licorice, cola and black olive. It's full-bodied, powered by its 15% alcohol, yet could use a richer, thicker texture. Drink now to 2011.",Two Brothers,88,23.0,South Australia,Barossa,,,,Creed of Barossa 2005 Two Brothers Shiraz-Viognier (Barossa),Shiraz-Viognier,Creed of Barossa,#462F7C
+9100,Australia,An extra year has added some depth here. Lemon and apricot fruit are layered over almonds and macadamia on the nose while a hint of jasmine adds interest to the palate. The medium finish offers up an intriguing nuttiness. Best before 2012.,Kayena Vineyard,88,22.0,Tasmania,Tasmania,,,,Tamar Ridge 2007 Kayena Vineyard Pinot Gris (Tasmania),Pinot Gris,Tamar Ridge,#23888D
+9234,Australia,"This wine nicely displays the fleshy pear, melon and citrus notes of unoaked Chard. It's plump and medium-bodied, with a clean, refreshing finish. What it isn't is particularly complex, but it will still go well with any number of seafood or chicken dishes this summer.",Unoaked,87,16.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Nepenthe 2006 Unoaked Chardonnay (Adelaide Hills),Chardonnay,Nepenthe,#440154
+9237,Australia,"The d'Arenberg style favors structure over plushness, even in Grenache. This is crisp and firm, its cranberryish fruit tinged with hints of raspberry, orange zest, cinnamon and clove. Give it a few years to soften. Drink 2020–2030.",The Derelict Vineyard,91,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2013 The Derelict Vineyard Grenache (McLaren Vale),Grenache,D'Arenberg,#481C6E
+9251,Australia,"This doesn't appear to be the strongest recent vintage of this wine, but it remains a benchmark for McLaren Vale Shiraz. Hints of vanilla and tobacco leaf add nuance to a mix of berries ranging from red raspberry to black currant, but there's also a hint of bruised fruit and a green toughness to the tannins. Give it some time in the cellar. Drink 2020–2030.",Amery Vineyard Block 6,91,120.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kay Brothers 2014 Amery Vineyard Block 6 Shiraz (McLaren Vale),Shiraz,Kay Brothers,#471669
+9366,Australia,"Marked by simple pineapple and citrus flavors, this plump, fleshy-textured Chard turns unexpectedly crisp and slighly metallic on the finish.",Unwooded,84,17.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Schild Estate 2007 Unwooded Chardonnay (Barossa),Chardonnay,Schild Estate,#440154
+9373,Australia,"Shows some rather lactic overtones to go with ample citrus and guava flavors. Medium-bodied, with a fresh, lemony finish.",Signature,83,15.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Marquee 2006 Signature Chardonnay (Yarra Valley),Chardonnay,Marquee,#440154
+9483,Australia,Imported by Bluewater Wine Company.,,87,20.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Strait Jacket 2007 Sauvignon Blanc-Semillon (Western Australia),Sauvignon Blanc-Semillon,Strait Jacket,#3C4E8A
+9523,Australia,"Tasted at their regular release date less than a year after the vintage, the Tahbilk Marsannes aren't terribly expressive. The key is bottle age, and this Museum Release has it. Lemon custard and thyme are tinged with hints of toast and marmalade in this medium-bodied white. A touch of creaminess on the midpalate extends through a long finish.",Museum Release,92,23.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2009 Museum Release Marsanne (Nagambie Lakes),Marsanne,Tahbilk,#228B8D
+9684,Australia,"This has all the touchstones of good Chardonnay: just enough body and richness, apple, pineapple and melon fruit flavors and a crisp, citrusy finish. Solid Chardonnay for under $10.",Morse Code,87,9.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2009 Morse Code Chardonnay (Padthaway),Chardonnay,Henry's Drive Vignerons,#440154
+9697,Australia,"The Nugan Vision Cabernet Sauvignon over-delivers for its price point. The fruit expression is bold and ripe, with intense raspberry and blackberry liqueur scents followed by tangy cherry pie filling in the mouth. Ends up on a lingering mocha note. Drink now to 2011.",Vision,86,12.0,New South Wales,Riverina,,,,Nugan Family Estates 2008 Vision Cabernet Sauvignon (Riverina),Cabernet Sauvignon,Nugan Family Estates,#471163
+9808,Australia,"It will be interesting to see if the release of this luxury-level Shiraz (the second vintage) has any impact on the perception of Casella's other brands: Yellow Tail and Peter Lehmann. Even at nine years of age, this is impressively dark and intense, with minty notes, cedar and vanilla and meaty, umami-like flavors that linger on the long, silky finish. Drink now.",1919,93,100.0,South Australia,Wrattonbully,,Joe Czerwinski,@JoeCz,Casella 2007 1919 Shiraz (Wrattonbully),Shiraz,Casella,#471669
+9828,Australia,"Cassis and chocolate notes dominate, but there's enough minty, eucalypt character to impart complexity, all framed by some firm, dusty tannins. Finishes long and mouthwatering; drink now–2015. Multiple U.S. importers.",The Villain,89,24.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hugh Hamilton 2005 The Villain Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Hugh Hamilton,#471163
+9929,Australia,"From a top subsection of McLaren Vale, this well-crafted Shiraz features a nice balance of sweet and savory notes. Ripe blackberry and plum flavors are matched by nuances of cedar, spice and meat. This creamy-textured Shiraz seems to be already approaching maturity; drink it now through 2012.",Angel Gully,90,50.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Joseph 2003 Angel Gully Shiraz (Clarendon),Shiraz,Joseph,#471669
+9985,Australia,"Sidewood's 2009 Chardonnay is a throwback to the sort of delicious, well-priced Chardonnays Australia used to be known for, but with a touch more class. It delivers a big blast of upfront melon and peach fruit nestled in toasted cashew-like oak, then finishes fresh and citrusy. Good value for drinking over the next 6–12 months.",,89,26.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2009 Chardonnay (Adelaide Hills),Chardonnay,Sidewood,#440154
+9993,Australia,"Perhaps this just needs some additional time for the Cabernet and Shiraz components to meld, because right now it comes across as slightly chunky and warm, with cassis and plum flavors verging on prune, yet nicely framed by vanilla and cedar. Try 2012–2020, although this wine has a track record that suggests longer aging isn't out of the question.",Bin 389,89,37.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Penfolds 2006 Bin 389 Cabernet Sauvignon-Shiraz (Barossa),Cabernet Sauvignon-Shiraz,Penfolds,#208F8C
+10097,Australia,"There's a bright, almost Ribena-like quality to the fruit in this wine, with underlying hints of wood and mint. It's full bodied, but the tannins are modest and softly rounded, making it deceptively easy to down. Drink now–2018.",Menzies The Cigar,88,25.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Yalumba 2009 Menzies The Cigar Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Yalumba,#471163
+10166,Australia,"The Pannell family, who founded Margaret River's Moss Wood in 1969, moved on in the mid-1990s to Pemberton, where it felt conditions were more suited to Burgundian varieties. This is a rather full-bodied Pinot Noir, with supple tannins and a long, slightly dusty finish. Light resiny notes and rooty scents add complexity to modest cherry fruit. Drink now–2020.",,87,40.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Picardy 2012 Pinot Noir (Pemberton),Pinot Noir,Picardy,#414286
+10265,Australia,"Mesh is a partnership between famed Clare Valley Riesling producer Jeffrey Grosset and the Hill Smith family of Yalumba. The 2012 is a solid effort, relatively light in weight but concentrated in flavor, featuring potent notes of lemon and lime sherbet. Very tart and dry on the finish, it needs either oysters or plenty of time in the cellar.",,89,35.43766346992153,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Mesh 2012 Riesling (Eden Valley),Riesling,Mesh,#443982
+10551,Australia,"This is a lean, austere—even a bit severe—Riesling that looks to need a good five years or more to mellow. Crushed stone and citrus pith finish long and painfully tart.",Mort's Reserve,89,35.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2013 Mort's Reserve Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+10733,Australia,"This winery was originally developed as a Cabernet specialist, and the regular 2012 bottling is another fine success. Briery, herbal shadings frame blackberry fruit, while the finish features a mouthwatering combination of mocha, dark fruit and lingering tannins. Drink this medium-bodied Cabernet now through 2025.",,91,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2012 Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+10831,Australia,"Gemtree's Obsidian Shiraz ratchets up the intensity from its usual offerings, adding structure and richness to straight-ahead aromas and flavors of cherries, coffee and vanilla. The wood sticks out a little on the finish, so give it another year or two in the bottle, then drink it over the next 10.",Obsidian,90,50.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Gemtree 2004 Obsidian Shiraz (McLaren Vale),Shiraz,Gemtree,#471669
+10835,Australia,"Matured 18 months in French oak, this rich, velvety-textured Shiraz shows plenty of vanilla influence as a result. But there's also plenty of ripe blackberry fruit, and the overall impression is of a lush, fruity wine that would make a lovely steakhouse red.",Eight Songs,90,38.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2004 Eight Songs Shiraz (Barossa),Shiraz,Peter Lehmann,#471669
+10901,Australia,"This is a meaty, dark-fruited Shiraz. Seductive notes of caramelized beef and brown sugar dominate, while the wine's texture is a bit coarse, turning astringent on the finish. Try in 2017.",The Bamboo Scrub Single Vineyard,90,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Bamboo Scrub Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+11092,Australia,"Jacob's Creek's top-end red is complex, dense and supple. A seductive bouquet of cassis, Asian spice, leather, cocoa and smoke pulls you in and the palate delivers with a thick, velvety feel and concentrated black fruit. Dry, but ripe and even tannins on the long finish portend a good future for this already attractive wine. Cellar Selection.",Limited Release,92,50.0,South Australia,South Australia,,,,Jacob's Creek 1998 Limited Release Shiraz-Cabernet Sauvignon (South Australia),Shiraz-Cabernet Sauvignon,Jacob's Creek,#460B5E
+11098,Australia,"The blackberry, vanilla and toasty oak elements are nicely balanced on the nose and in the mouth. Deep fruit shines, and the supple mouthfeel is very appealing. Finishes long, with a compelling back-end bouquet that completes the package in fine style.",Reserve,91,18.0,South Australia,Barossa Valley,,,,Jacob's Creek 1998 Reserve Shiraz (Barossa Valley),Shiraz,Jacob's Creek,#471669
+11496,Australia,"Made in a somewhat restrained, focused style, this wine features hints of smoke combined with peach and pineapple notes to create the impression of grilled fruit aromas and flavors. It's linear and crisp on the palate, with admirable length and mouthwatering citrus notes on the finish. Ready to drink now.",Kevin John,92,75.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2008 Kevin John Chardonnay (Margaret River),Chardonnay,Cullen,#440154
+11497,Australia,"Cullen's Kevin John remains one of Margaret River's (and Australia's) benchmark Chardonnays. Scents of grilled peaches lead into flavors of pineapple, vanilla and smoke, but more importantly, the palate is balanced just right. It's not too broad, not too lean; not overly sharp, but not soft. The finish is long and harmonious.",Kevin John,92,75.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2009 Kevin John Chardonnay (Margaret River),Chardonnay,Cullen,#440154
+11527,Australia,"A bold, aggressive wine that lacks a bit of elegance, the 2008 Galvo Garage is a big mouthful of cassis and cedar. In another few years it may settle down, but for now the overall impression is of a rather rough customer that's best suited to be poured alongside grilled steak.",The Galvo Garage Cabernet Sauvignon-Merlot-Cabernet Franc-Petit Verdot,86,29.0,South Australia,McLaren Vale-Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Galvo Garage Cabernet Sauvignon-Merlot-Cabernet Franc-Petit Verdot Red (McLaren Vale-Adelaide Hills),Bordeaux-style Red Blend,D'Arenberg,#1F938B
+11551,Australia,"The flagship wine from a relatively new Barossa producer, the 2004 Benno features smoky, savory, spice- and meat-driven aromas that easily move into complex and well-integrated flavors of spice and dark berries. Despite its labeled 15% alcohol, the wine isn't heavy, instead offering medium body and a creamy smooth texture. Finishes long, with lingering dark fruit flavors. Drink now–2020.",Benno Shiraz-Mataro,92,75.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Murray Street 2004 Benno Shiraz-Mataro Red (Barossa Valley),Red Blend,Murray Street,#3F4788
+11633,Australia,"Once past a distracting note of tire rubber, this rosé of Grenache offers aromas of wet stone and watermelon rind. Berry fruit emerges on the palate, while the dry finish picks up hints of chocolate. Drink now, but maybe give it a quick splash into a decanter to see if that improves it.",,85,23.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Schwarz Wine Company 2015 Rosé (Barossa Valley),Rosé,Schwarz Wine Company,#450558
+11742,Australia,"A blend of two-thirds Shiraz, one-third Grenache, Kilikanoon's entry-level blend is a soft, easygoing combination of blackberries, cola, brown sugar and cinnamon. Drink it over the next year or two.",Killerman's Run,89,20.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Kilikanoon 2008 Killerman's Run Shiraz-Grenache (Australia),Shiraz-Grenache,Kilikanoon,#2D6E8E
+11755,Australia,"The 60% Grenache shows in this wine's red-berry aromas and flavors, while the 20% Mourvèdre imparts a slightly horsey, leathery note. It's full-bodied and lushly textured, it just doesn't seem quite as harmonious at this stage as some earlier vintages.",The Steading,89,35.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2006 The Steading Red (Barossa Valley),Rhône-style Red Blend,Torbreck,#2A768E
+11827,Australia,"Yalumba has been working hard at this style of rosé, and the 2012 is very successful. It's medium in weight, with pretty red-fruit aromas and flavors of watermelon and strawberry. An undercurrent of minerality rides through the palate and finishes slightly chalky. Drink up.",The Y Series Sangiovese,88,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2012 The Y Series Sangiovese Sangiovese (South Australia),Sangiovese,Yalumba,#1E978A
+11831,Australia,"A thread of dusty mushroom underlies some pretty raspberry and cream notes in this full-bodied Shiraz, adding an astringent note to the finish. Drink now–2025.",The Amaranthine Single Vineyard,88,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Amaranthine Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+11853,Australia,"Features charred and herbal overtones, but otherwise pleasant cherry fruit and a weightiness borne of moderately high alcohol (14%). The fruit fades a bit quickly on the finish, leaving some drying tannins behind, so serve with rare beef or lamb.",Avalon Tree Single Site,84,16.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Zonte's Footstep 2008 Avalon Tree Single Site Cabernet Sauvignon (Langhorne Creek),Cabernet Sauvignon,Zonte's Footstep,#471163
+11857,Australia,"A slightly confected, slightly herbal Cab, with sweet cherry fruit that finishes tart. Still, it's nicely creamy in texture and while simple, is pleasant enough for a midweek quaff. Drink now.",,84,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Red Knot 2008 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Red Knot,#471163
+11873,Australia,"This is labeled as Cabernet Sauvignon-Merlot, but be realistic about your expectations: This is 94% Cabernet, with only 5% Merlot and 1% Petit Verdot. Cedar, cassis, sage and bay leaf notes are classic Margaret River expressions, as is the wine's medium body and streamlined feel. It's a harmonious if not particularly flamboyant wine that will be at home with a variety of dishes. Drink now–2025.",,90,70.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Voyager Estate 2012 Cabernet Sauvignon-Merlot (Margaret River),Cabernet Sauvignon-Merlot,Voyager Estate,#345F8D
+11874,Australia,"Yalumba has been pushing the organic envelope in recent years, and this Shiraz is a winner. It's full bodied and supple nearly to the point of creaminess, but delivers mixed berry, vanilla and baking-spice flavors, all with a certain amount of elegance. Drink now–2022.",Made With Organic Grapes,90,18.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2015 Made With Organic Grapes Shiraz (South Australia),Shiraz,Yalumba,#471669
+11891,Australia,"Tasted blind, this wasn't particularly different from the other Rieslings in its flight, which were predominantly South Australian. It's got those same wet stone and citrus tendencies and is made in the same medium-bodied, dry, high-acid style. There's a touch of pineapple as well, plus a long, dry crisp finish.",Art Series,90,22.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2015 Art Series Riesling (Margaret River),Riesling,Leeuwin Estate,#443982
+12045,Australia,"This wine's plum, mocha and cedar notes are carried by ample body and a silky texture. It's a round, supple blend of 59% Shiraz, 31% Grenache and 10% Mourvèdre that finishes long, reverberating with fresh acids and mocha shadings. Drink it over the next several years.",Plexus,90,40.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,John Duval Wines 2011 Plexus G-S-M (Barossa Valley),G-S-M,John Duval Wines,#26818E
+12239,Australia,"Made by Giaconda, this white is excellent but doesn't quite live up to the winery's other top-notch offerings. (But at half the price, how can you go wrong?) It has a tropical-fruit core and a medium-bodied, viscous mouthfeel. Finishes with some length, and a buttery-resiny feel.",Nantua Les Deux,90,45.0,Victoria,Victoria,,,,Giaconda 2001 Nantua Les Deux White (Victoria),White Blend,Giaconda,#32638D
+12254,Australia,"The rich blackberry, vanilla and toast nose sets you up for a lush, supple wine and this one does not disappoint. Full and dense, it offers rich black-cherry and cassis flavors on the palate, and a huge finish with fine-grained tannins. Very well poised for its size, it's approachable now. Nevertheless, it will be much more nuanced and show more finesse in 5–8 years. Keep for a decade or two, maybe more. To be released 5/01.",Bin 707,93,90.0,South Australia,South Australia,,,,Penfolds 1998 Bin 707 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Penfolds,#471163
+12257,Australia,"This big wine presents a sophisticated bouquet of toasty, leesy, nutty aromas. Fine depth of fruit and plenty of quality oak show here, with butterscotch, pear and apple flavors. Full-bodied and luscious, it shows the tremendous attention paid and importance assigned to this flagship white. The long, spicy finish sports complex lemon, leesy and mineral accents. To be released 5/01.",Yattarna,92,65.0,Australia Other,South Eastern Australia,,,,Penfolds 1998 Yattarna Chardonnay (South Eastern Australia),Chardonnay,Penfolds,#440154
+12281,Australia,"Attractive blackberry aromas with bright tobacco and herb accents open this well-balanced wine. The palate shows strong cassis, earth and herb flavors, and an even mouthfeel. Finishes with dark cherry notes and full, fine tannins. This will age nicely and can use a little time. Quite flavorful and elegant.",Bin 407,90,19.0,South Australia,South Australia,,,,Penfolds 1998 Bin 407 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Penfolds,#471163
+12416,Australia,"A full, not overly extracted style of Shiraz with deep aromas of licorice, earth, tar, prunes and a lovely creamy note. Plum and blackberry flavors with soy and smoke accents fill the palate, and as the wine closes it displays good length with fruit and spice flavors.",Reserve,88,46.0,South Australia,Padthaway,,,,Stonehaven 1996 Reserve Shiraz (Padthaway),Shiraz,Stonehaven,#471669
+12417,Australia,"Dense, with plum-prune, coffee and chocolate aromas, this wine offers very ripe dark-fruit flavors accented by tobacco and cedar shadings. The mouthfeel is big, but very easy, even soft; with a little more spine-acidity and tannins-this wine could merit a higher score. Still, it's a very pleasing and promising first offering.",,88,18.0,South Australia,Limestone Coast,,,,Stonehaven 1997 Cabernet Sauvignon (Limestone Coast),Cabernet Sauvignon,Stonehaven,#471163
+12624,Australia,"Intense and tightly wound, this Riesling gradually unfolds layers of white pepper, green plums and Key lime pie. The lingering quince-flavored finish is mouthwateringly crisp but not quite dry. Try with mushroom pasta. Drink now for the youthful fruit or wait a few years for more complexity.",The Dry Dam,88,16.0,South Australia,McLaren Vale,,,,D'Arenberg 2008 The Dry Dam Riesling (McLaren Vale),Riesling,D'Arenberg,#443982
+12627,Australia,"An all-round crowd-pleaser, with honest upfront notes of plum, coconut and fall leaves that take on a cherry character in the mouth. Medium-bodied, with fine tannins and a mouthwatering finish that's just this side of medium. Try with roast pork. Drink up in the next year or two.",Next of Kin,88,13.0,Western Australia,Margaret River,,,,Xanadu 2007 Next of Kin Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Xanadu,#471163
+12745,Australia,"This unoaked Chardonnay shows admirable weight on the palate, but slightly one-dimensional, citrusy flavors. Clean and correct on the finish; drink now.",,85,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Woop Woop 2009 Chardonnay (South Eastern Australia),Chardonnay,Woop Woop,#440154
+12765,Australia,"Faintly nutty notes of toasted grain accent this wine's otherwise straightforward pineapple fruit. It's medium in body, with a fine line of crisp acidity running through it from start to finish. Drink now.",Bin Select 462,85,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Kalbarri 2010 Bin Select 462 Chardonnay (South Eastern Australia),Chardonnay,Kalbarri,#440154
+12779,Australia,"A few years of age have turned this South Australia Chardonnay into a highly nuanced tipple. Kerosene, hay and coconut aromas play off fragrant blood orange scents while the palate offers up toast and caramel in a tight, well-defined structure. Try with grilled salmon or serve on its own. Drinking at its peak now but will last a few more years.",Reeves Point,90,28.0,South Australia,South Australia,,,,Jacob's Creek 2005 Reeves Point Chardonnay (South Australia),Chardonnay,Jacob's Creek,#440154
+12855,Australia,"Really nicely done, with bold cassis aromas tinged with hints of tomato leaf and vanilla and then waves of cassis, vanilla and dried spices on the palate. It's full bodied and lushly textured, with a long, velvety feel to the finish. Best from 2010–2020.",Phoenix,91,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2006 Phoenix Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Penley Estate,#471163
+12857,Australia,"This intriguing stickie is predominantly (94%) Chardonnay—an unusual choice for a botrytized wine. Dried apricot and ripe pear aromas lead the way, with the flavors leaning toward intensely honeyed apricot preserves. It's full-bodied, lush and candy-sweet, with a mouthcoating finish.",The Noble,91,19.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The Noble Chardonnay-Semillon (Adelaide),Chardonnay-Semillon,D'Arenberg,#1E9A89
+12869,Australia,"This mature, ready-to-drink example of Coonawarra Cab offers complex aromas and flavors of leather, cedar and black cherry, plus hints of mint and roasted beef. The tannins are smooth, the mouthfeel moderately rich and the finish long and mouthwatering. Drink now-2015.",,91,30.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Leconfield 2003 Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Leconfield,#471163
+12878,Australia,"A blend of 64% Merlot and 36% Cabernet Sauvignon, the resulting wine is complex, round and complete. Aromas and flavors of plum, leather, cured meat and spice are carried by plenty of weight, yet without seeming heavy. There's a lush, slightly creamy mouthfeel and a long, spicy finish. Delicious now, but should hold at least through 2015.",Abbotts Prayer Vineyard,91,75.0,South Australia,Lenswood,,Joe Czerwinski,@JoeCz,Henschke 2005 Abbotts Prayer Vineyard Red (Lenswood),Bordeaux-style Red Blend,Henschke,#1F938B
+12972,Australia,"This plump, medium-bodied Pinot Noir lacks for fruit, instead showcasing savory notes of underbrush, smoke and roasted vegetables. Drink up.",,84,14.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Shoofly 2012 Pinot Noir (Yarra Valley),Pinot Noir,Shoofly,#414286
+13262,Australia,"A solidly built, rather chunky Cabernet, the 2009 Pillar Box Reserve delivers plummy fruit framed by vanilla and tobacco notes. The tannins are a bit coarsely textured on the finish, but leave behind an appetizingly mouthwatering sensation. Drink now–2020.",Pillar Box Reserve,89,21.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2009 Pillar Box Reserve Cabernet Sauvignon (Padthaway),Cabernet Sauvignon,Henry's Drive Vignerons,#471163
+13343,Australia,"This is unapologetically warm-climate Chardonnay, featuring tropical fruit, plenty of weight and texture and a whack of vanilla and cut-wood character. It's a broad, full-bodied wine that pulls together on the finish, ending with notes of pineapple and citrus.",,86,13.0,New South Wales,Riverina,,Joe Czerwinski,@JoeCz,Nugan Family Estates 2006 Chardonnay (Riverina),Chardonnay,Nugan Family Estates,#440154
+13400,Australia,"Bursting with bold, fully ripe fruit notes of pear and peach, followed up with tropical notes, this is a lush fruit bomb of a Chardonnay to drink over the near term (3–4 months).",Flying Piano Hand Select,86,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Ozwell Vintners 2008 Flying Piano Hand Select Chardonnay (South Eastern Australia),Chardonnay,Ozwell Vintners,#440154
+13456,Australia,"An excellent value, Hardys' Oomoo Shiraz can run with a pack twice its price, offering earth and cola aromas and a deep undercurrent of blackberries. It's full-bodied, mouthfilling yet structured. Adds flavors of black olives to the mix, along with velvety tannins and mouthwatering acids on the finish.",Oomoo,90,15.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hardys 2004 Oomoo Shiraz (McLaren Vale),Shiraz,Hardys,#471669
+13519,Australia,"Has typical Clare Valley Riesling elements of crushed stone and citrus, but also considerable petrol and hints of honey and ripe apple. It's medium-bodied and tart, with a metallic or slightly pithy note on the finish.",Polish Hill River,85,35.43766346992153,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pauletts 2010 Polish Hill River Riesling (Clare Valley),Riesling,Pauletts,#443982
+13528,Australia,"This partnership continues to turn out marvelously complex wines from inland Victoria. Savory, herbal and intriguing on the nose, with hints of raspberry, mushroom and smoked meat, this is a medium-bodied, supple wine. Dusty tannins impart a silky quality to the finish. Drink now–2018.",Lieu Dit Malakoff,92,30.0,Victoria,Pyrenees,,Joe Czerwinski,@JoeCz,Domaine Terlato & Chapoutier 2007 Lieu Dit Malakoff Shiraz (Pyrenees),Shiraz,Domaine Terlato & Chapoutier,#471669
+13551,Australia,"Smells sweet and soft, with vanilla, peach and caramel aromas. It's similar at first in the mouth; then it turns even sweeter on the finish, with caramel popcorn flavors.",,85,14.0,Western Australia,Western Australia,,,,Element 2001 Chardonnay (Western Australia),Chardonnay,Element,#440154
+13555,Australia,"A lean, toasty style that pairs dried spices—cinnamon and ginger—with zesty citrus fruits. The toast and vanilla battle green and lime flavors from the nose all the way through the finish.",Hill of Gold,85,17.0,New South Wales,Mudgee,,Joe Czerwinski,@JoeCz,Rosemount 2001 Hill of Gold Chardonnay (Mudgee),Chardonnay,Rosemount,#440154
+13556,Australia,"This relatively lean wine focuses on pear and apple aromas and flavors. Some spearmint scents spice up the nose, while buttery nuances appear on the palate. Finishes a bit short, but with crisp and clean with herb notes, unencumbered by lots of oak.",,85,16.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Yalumba 2000 Chardonnay (Barossa Valley),Chardonnay,Yalumba,#440154
+13558,Australia,"A simple, lemony style that would work best with shellfish but has just enough pear and quince fruit to lend it flesh. Finishes tart and clean.",,84,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Ghost Gum 2000 Chardonnay (South Eastern Australia),Chardonnay,Ghost Gum,#440154
+13562,Australia,"Shows promise in its lightly toasty and citrusy aromas and lemon and green-apple flavors, but tails off rapidly on the finish. It's lean and racy, obviously from a relatively cool-climate region, and should be served as you would basic Chablis, with oysters and the like.",,84,17.0,New South Wales,Orange,,Joe Czerwinski,@JoeCz,Logan Australia 1999 Chardonnay (Orange),Chardonnay,Logan Australia,#440154
+13564,Australia,"Fits the big-production Aussie recipe to a T, blending tropical fruit, vanilla, apple and citrus flavors. It's just a little lighter than expected and finishes short.",Diamond Label,84,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Rosemount 2001 Diamond Label Chardonnay (South Eastern Australia),Chardonnay,Rosemount,#440154
+13566,Australia,"Basic Chardonnay—pear, citrus and green apple balanced by vanilla and wood. Lighter, leaner and more food-friendly than many Aussie Chards, finishing with tart acidity.",,84,15.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Owen's Estate 1999 Chardonnay (South Eastern Australia),Chardonnay,Owen's Estate,#440154
+13569,Australia,"This stylish lightweight has some tasty pear, quince and citrus flavors, finishing with a hint of spice. Best as an apéritif or with a light fish course.",,84,8.0,New South Wales,New South Wales,,Joe Czerwinski,@JoeCz,Penmara 2000 Chardonnay (New South Wales),Chardonnay,Penmara,#440154
+13571,Australia,"With a nose full of buttered popcorn and vanilla, it's clear that much if not all of this wine was barrel-fermented and aged, maybe a tad too much. The vanilla and toast flavors partially obscure pretty white peach fruit.",,84,28.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Hamelin Bay 2000 Chardonnay (Margaret River),Chardonnay,Hamelin Bay,#440154
+13660,Australia,"Made mistelle fashion, with fortification taking place prior to fermentation to help preserve the variety's citrus and tea-leaf aromas and flavors. Honeyed orange and lemon flavors take on a leafy edge, showing a hint of bitterness on the finish.",Muscadelle,86,15.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Chambers Rosewood Vineyards NV Muscadelle Tokay (Rutherglen),Tokay,Chambers Rosewood Vineyards,#1E9D88
+13760,Australia,"This is barely sparkling, which gives it a rather weighty feel. Slightly oily aromas and indistinct white fruit flavors finish on the dry side. It's an interesting blend of Chardonnay, Pinot Noir and Verdelho.",Crisp,83,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Emeri NV Crisp Sparkling (South Eastern Australia),Sparkling Blend,Emeri,#38578C
+13770,Australia,"A disappointing release, with tired white-fruit aromas and slightly confected, rubbery flavors. It's a traditional sparkling blend of Pinot Noir, Chardonnay and Pinot Meunier.",Sparkling,82,15.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Greg Norman Estates NV Sparkling  (South Eastern Australia),Champagne Blend,Greg Norman Estates,#30678D
+13865,Australia,"An honest and very ripe take on Australian Chardonnay, with opulent notes of fig, pineapple and guava underscored by crisp lemon and a faint spritz that refresh the palate. The short-to-medium finish turns a bit soft. Quite likable on the whole. Try with lobster.",Unwooded,85,18.0,Western Australia,Western Australia,,,,West Cape Howe 2008 Unwooded Chardonnay (Western Australia),Chardonnay,West Cape Howe,#440154
+13867,Australia,"Not a sophisticated wine, but one with a frothy charm all its own, and aromas of strawberry, lemon bars and raspberry jam that are hard to resist. It's sweet in the mouth, with just enough acidity on the fleeting finish to keep it from being cloying. Drink now, by the pool.",,85,12.0,Victoria,Victoria,,,,Innocent Bystander 2009 Moscato (Victoria),Moscato,Innocent Bystander,#2F6A8D
+13873,Australia,"The nose offers up just a bit of intrigue, with gardenia, musk and white rose scents, but the focus of this wine is really its core of baked apricot flavors that turn just a bit jammy on the finish. Sweet, but not out of balance, good as a summer apéritif.",Emeri,85,13.0,Australia Other,South Eastern Australia,,,,De Bortoli NV Emeri Moscato (South Eastern Australia),Moscato,De Bortoli,#2F6A8D
+13879,Australia,"Crafted to be very broadly appealing, but well done in that category, this bottling shows ginger, toffee and malted milk scents followed by watermelon candy and fig flavors. Medium-to-full bodied, with a hint of sweetness and a finish on fast fade. Drink up.",,85,12.0,Australia Other,South Eastern Australia,,,,McWilliam's Hanwood Estate 2007 Chardonnay (South Eastern Australia),Chardonnay,McWilliam's Hanwood Estate,#440154
+13881,Australia,"Snap this one up for its refreshing herbal, lemon and pine-scented nose and its flavorful palate with burnt orange and pineapple tones. More refreshing and subtle than most Chardonnays in this price range, this wine is a good pick for someone who wants a dash of Old World austerity and elegance in their New World wine. Try with arctic char or coho salmon. Best drunk now but will hold a year or so.",,85,10.0,Australia Other,Central Ranges,,,,Rolling 2007 Chardonnay (Central Ranges),Chardonnay,Rolling,#440154
+13928,Australia,"Cropped at less than two tons per acre, this is a full-bodied, creamy-textured Tempranillo marked by vanilla-tinged oak. Black cherries and plums comprise the core, with embellishments of tobacco adding complexity to this lush, easy-drinking wine. Drink it over the next several years.",Luna Roja,89,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Gemtree 2008 Luna Roja Tempranillo (McLaren Vale),Tempranillo,Gemtree,#1FA187
+13941,Australia,"Yalumba's flagship Viognier is a broad, powerful wine, with pineapple and apricot flavors marked by hints of floral perfume and spice. Not quite as aromatically expressive as the Eden Valley bottling, it may be a touch denser and more concentrated, with potential to evolve through 2014 or so.",Virgilius,89,40.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Yalumba 2009 Virgilius Viognier (Eden Valley),Viognier,Yalumba,#45347F
+14012,Australia,"A solid all-around effort, this starts off with hints of struck match and citrus custard, then moves through apple and mandarin flavors. It's medium in body, with a refreshing finish and decent length.",,88,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2014 Pinot Gris (Adelaide Hills),Pinot Gris,Sidewood,#23888D
+14066,Australia,"Exuberantly fruity, with mixed-berry scents and a straightforward palate of ripe cherries. Stays supple and generous through the sweetish finish. Drink up.",Select,83,9.0,Australia Other,South Eastern Australia,,,,Tall Poppy 2008 Select Shiraz (South Eastern Australia),Shiraz,Tall Poppy,#471669
+14115,Australia,"This is a simultaneously fruity and savory wine of complexity and power from one of Victoria's underrated regions, Heathcote. From a mix of granite and the region's famed Cambrian red soils, this wine offers ripe blue and red fruit, florals and a peppery, olivey punch. The juicy fruit continues on the palate but here the savory elements play more of a starring role: Dried herbs and graphite are woven into fine-grained tannins and a long, almost tangy finish. Drink now–2027.",Demi by Syrahmi,92,32.0,Victoria,Heathcote,,,,Syrahmi 2015 Demi by Syrahmi Shiraz (Heathcote),Shiraz,Syrahmi,#471669
+14297,Australia,"This is a plump, medium-bodied Chardonnay ideal for casual sipping. Pear and citrus flavors combine easily, finishing on a soft note of chalk-dust.",,86,14.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Woop Woop 2011 Chardonnay (South Eastern Australia),Chardonnay,Woop Woop,#440154
+14322,Australia,"Dry Riesling of this quality is capable of aging up to two decades, especially under screw cap. this one is medium bodied and dominated at the moment by ripe, citrusy fruit. It's more orange than lime, yet still shows great acidity and length. Drink 2020–2030.",Mort's Reserve,92,30.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2015 Mort's Reserve Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+14331,Australia,"Full bodied, creamy in texture and lush on the palate, this wine offers a thrilling mouthful of satisfaction. Menthol, vanilla and cedar notes frame ripe, plummy fruit, while the velvety finish features lingering spice. Drink now–2025.",,92,40.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2013 Shiraz (Padthaway),Shiraz,Henry's Drive Vignerons,#471669
+14354,Australia,"This wine's concentrated dark fruit shows in the color—a vibrant dark garnet—and in the aromas of blueberry, vanilla and dried spices. The 16% alcohol is well concealed, manifesting only as wonderfully full, creamy density on the palate, magnifying the intense cola, earth and spice complexity. A pronounced peppery, black licorice note adds extra length to the finely textured finish. Drink now–2020.",Old Vine,95,60.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kaesler 2006 Old Vine Shiraz (Barossa Valley),Shiraz,Kaesler,#471669
+14654,Australia,"Shows some rather riper-than-expected fruit flavors, hinting at peach or nectarine as well as the standard apple and lime. The result seems a touch off-dry, although the actual residual sugar is only 3.5 g/L. Despite being lightweight in the mouth, it turns a bit honeyed and weightier on the finish. Drink it over the next few years.",Hanlin Hill,86,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Petaluma 2008 Hanlin Hill Riesling (Clare Valley),Riesling,Petaluma,#443982
+14680,Australia,"This Grenache-based blend derives considerable structure from its Shiraz (38%) and Mourvèdre (7%) components, giving it more firmness, length and ageability than might be expected. Dark chocolate and berry aromas and flavors pick up hints of dried tobacco and other herbs, ending on a crisp note. Give it two or three years, then drink it over the next 10–12.",The Ironstone Pressings Grenache-Shiraz-Mourvèdre,92,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Ironstone Pressings Grenache-Shiraz-Mourvèdre Red (McLaren Vale),Rhône-style Red Blend,D'Arenberg,#2A768E
+14714,Australia,"It's nice to see high-quality dry Riesling at such a reasonable price. This does show some riper, peachier aromas and flavors than truly classic Eden Valley Riesling, but it remains true to the regional style, just more approachable. Drink now.",The Y Series,89,13.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2015 The Y Series Riesling (Barossa),Riesling,Yalumba,#443982
+14914,Australia,"Dark hints of charred oak and cola accent bright berry aromas, while the palate is marked by bold berry and black cherry flavors and a whack of vanilla. It's a medium-bodied red that comes across as a bit hard-edged because of its acidity despite having rather soft tannins. Drink now.",Cricket Pitch Cabernet Sauvignon-Shiraz-Merlot-Petit Verdot,87,21.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Brokenwood 2008 Cricket Pitch Cabernet Sauvignon-Shiraz-Merlot-Petit Verdot Red (South Eastern Australia),Red Blend,Brokenwood,#3F4788
+14933,Australia,"Fresh and juicy, this easy-drinking blend provides simple mint and cassis aromas and flavors at a reasonable price, with just enough structure to stand up to burgers and the like. Drink now–2013.",Gamekeeper's Shiraz-Grenache-Touriga,86,13.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,St Hallett 2008 Gamekeeper's Shiraz-Grenache-Touriga Red (Barossa),Red Blend,St Hallett,#3F4788
+15204,Australia,"Grenache is being treated with more and more respect around Australia, which means more bottlings are reaching the variety's potential. Gentle herbal notes intertwine with bunches of black cherries and a hint of vanilla in this medium- to full-bodied example. Hints of red peppercorn capture a unique combination of fruit and spice, while the finish is long and crisp.",The Fifth Wave,94,53.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2013 The Fifth Wave Grenache (Barossa),Grenache,Langmeil,#481C6E
+15209,Australia,"It's a shame only the equivalent of one barrel of this wine was exported to the U.S., as it means only a handful of people here will get to experience it. It's perhaps the closest thing to great white Burgundy to come from Australia; subtly smoky at first, like grilled white peaches, adding hints of lime and vanilla on the palate. It's plump and slightly creamy in texture, but finishes with crisp, acidic verve. Drink now–2025.",Kevin John,94,109.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2013 Kevin John Chardonnay (Margaret River),Chardonnay,Cullen,#440154
+15267,Australia,"A bit softer, plusher and creamier than the Shiraz-Cabernet from this producer, this is still an impressive wine. Smoky cedar and mocha notes complement plums and blackberries, turning velvety on the finish. Drink now through 2025.",,92,40.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2012 Shiraz (Padthaway),Shiraz,Henry's Drive Vignerons,#471669
+15338,Australia,"A lean, streamlined version of Aussie Shiraz, with leathery notes of dried currants that finish firm and crisp.",Red Belly Black,84,11.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Angove's 2008 Red Belly Black Shiraz (South Australia),Shiraz,Angove's,#471669
+15547,Australia,"Full bodied, rich and thickly textured, this is just a bit earthier and chunkier than Chambers' Rare bottling, while still remaining an outstanding sweet wine. The flavors are dark, earthy and intense, with lots of candied date notes and a lingering finish of molasses.",Grand,94,140.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Chambers Rosewood Vineyards NV Grand Muscadelle (Rutherglen),Muscadelle,Chambers Rosewood Vineyards,#472A79
+15553,Australia,"Big and bold, with firm tannins, this powerful Shiraz shows all the ingredients that point to excellent aging potential. Hints of toast and cracked pepper accent dark-berry aromas, while the flavors mix ripe fruit and intriguing spice notes. The finish is marked by espresso, firm tannins and terrific length. Drink 2020–2030.",Miracle Hill,94,70.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kilikanoon 2010 Miracle Hill Shiraz (McLaren Vale),Shiraz,Kilikanoon,#471669
+15611,Australia,"Taylor's (marketed as Wakefield internationally) seems to be on a roll. This is a complex, multidimensional Shiraz laced with nuances ranging from mulberry and plum to meat and spice and on to coffee and black olive. It's medium-bodied, with tannins that are supple enough to make it approachable right away.",,91,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2005 Shiraz (Clare Valley),Shiraz,Wakefield,#471669
+15758,Australia,"I can't say I'm a big fan of the Marlargo labels, but what's in the bottle is pretty good. This medium-bodied Shiraz boasts soft, supple tannins that support aromas and flavors of coffee, cola, leather and black olive. For all its dark flavors, the finish is mouthwatering, inviting another sip.",,88,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Marlargo 2005 Shiraz (McLaren Vale),Shiraz,Marlargo,#471669
+15762,Australia,"Smells just gorgeous, combining classic lime sherbet notes with hints of petrol and fleurs blanches. But in the mouth it lacks the same finesse, and shows a riper, chunkier character that leans toward pineapple and peach. It's still very good, but don't expect it to age well past 5 or 6 years.",,88,19.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Koonowla 2007 Riesling (Clare Valley),Riesling,Koonowla,#443982
+15764,Australia,"This crisp, focused wine may not be quite as racy as its namesake dog breed, but it is very fresh. There's a touch of green apple, but the majority of the fruit leans more toward white grapeffruit, with a long finish.",Whippet,88,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Longview 2007 Whippet Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Longview,#482172
+15772,Australia,"A blend of 70% Semillon and 30% Sauvignon Blanc, Plantagenet's Hazard Hill white is fresh and grapefruity, with hints of melon to help round it out. Crisp acids and modest weight make it refreshing--it would be fine as an apéritif or with seafood. Drink now.",Hazard Hill,88,14.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 2007 Hazard Hill Semillon-Sauvignon Blanc (Western Australia),Semillon-Sauvignon Blanc,Plantagenet,#3A538B
+15821,Australia,"Comes across as being on the sweet side of the brut spectrum, but it's still a solid value, offering bold pineapple flavors and just a hint of toast on the finish.",DB Family Selection Sparkling Brut,85,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli NV DB Family Selection Sparkling Brut Sparkling (South Eastern Australia),Sparkling Blend,De Bortoli,#38578C
+15914,Australia,"Full-bodied and richly textured, this more than delivers at its suggested retail price. Grilled plums, baking spices and mocha notes provide plenty of interest, finishing creamy and supple. Drink now–2020.",Promised Land,88,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wakefield 2015 Promised Land Shiraz (South Australia),Shiraz,Wakefield,#471669
+15982,Australia,"Ripe black cherry and a lick of herbs are wrapped up in a solid structure of balanced acidity and tannins, with a slightly savory finish. The oak is prominent, as is the ripe fruit, but for the price, this is the kind of bargain Shiraz Australia once built its Stateside reputation on.",,86,8.0,Australia Other,South Eastern Australia,,,,Banrock Station 2015 Shiraz (South Eastern Australia),Shiraz,Banrock Station,#471669
+16312,Australia,"Full bodied, creamy and lush, this is a prototypical Barossa Valley Shiraz from a longtime master of the variety. Smoke, cedar, mulberry and eucalyptus notes mingle easily on the nose, while savory notes of roasted meat and dried herb blend seamlessly into the fruit, ending long, velvety and rich.",Eligo,94,100.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,John Duval Wines 2013 Eligo Shiraz (Barossa Valley),Shiraz,John Duval Wines,#471669
+16328,Australia,"This wine is fleshy and seductive, with irresistible layers of smoke, mint and plum. It's full bodied, creamy textured and lush, staying supple through the long, charming finish. Drink now through 2025.",Magnus,94,80.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2012 Magnus Shiraz (Padthaway),Shiraz,Henry's Drive Vignerons,#471669
+16538,Australia,"Rich, dense and intense, this is a big, muscular rendering of Barossa Shiraz. Scents of maple syrup and menthol intertwine with flavors of ripe plums and grilled meat. It's mouthcoating and long on the tannic finish, so give it some time in the cellar; drink 2020–2030.",The Family Tree,95,65.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Lambert 2013 The Family Tree Shiraz (Barossa Valley),Shiraz,Lambert,#471669
+16644,Australia,"Worth the effort to find, this wine shows terrific balance in every respect. Subtle oak and spice frame ripe cherry fruit on the nose. Refreshing herb and spice elements add zest to cherry and cola flavors on the palate, where the wine is fleshy without being at all heavy. The ripe tannins on the finish are supple enough to make this approachable now, but it should also evolve gracefully for at least five-to-eight years.",Robinson Vineyard,93,55.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Moorooduc 2012 Robinson Vineyard Pinot Noir (Mornington Peninsula),Pinot Noir,Moorooduc,#414286
+16838,Australia,"The nose here is flat as a board, offering next to nothing. Simple green apple and underripe pear flavors fail to rescue the wine, while a finish lacking definition and length seals its fate. For a producer that largely succeeds with Shiraz, the cute name of this wine is unfortunately the best thing that it has to offer.",The Broken Fishplate,82,15.0,South Australia,Adelaide Hills,,,,D'Arenberg 2001 The Broken Fishplate Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,D'Arenberg,#482172
+16863,Australia,"Sold in 1-liter Tetra Prisma packaging meant to reduce greenhouse emissions, this is an ecofriendly wine that tastes good. Its bouquet is its strongest asset, offering floral, perfumy notes of white pepper and rhubarb, while the palate is on the light side for Shiraz, but clean and supple. Drink now.",Organic,85,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Green Path 2006 Organic Shiraz (South Eastern Australia),Shiraz,Green Path,#471669
+16872,Australia,"A soft, silky-textured Pinot Noir, this wine starts off with admirable complexity on the nose in the form of bacon, smoke, fresh greens and strawberries. Despite an overall lack of punch, it's easy to drink and offers decent value in Pinot Noir. Imported by AUSA Pacific, LLC.",Sensitive Cousin,85,15.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Stanley Lambert 2005 Sensitive Cousin Pinot Noir (South Eastern Australia),Pinot Noir,Stanley Lambert,#414286
+16950,Australia,"A terrific value, Dutchke's Willow Bend is a round, generous blend that features complex spice elements alongside lush fruit. Cassis and blackberry notes are tinged with cocoa, cinnamon and licorice.",Willow Bend Shiraz-Merlot-Cabernet Sauvignon,90,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Dutschke 2007 Willow Bend Shiraz-Merlot-Cabernet Sauvignon Red (Barossa Valley),Red Blend,Dutschke,#3F4788
+17052,Australia,"For the price, this is pretty decent. It shows ample volume in the mouth and features lightly stewed fruit notes of mixed berries balanced by a touch of wood.",Wine Men of Gotham,85,11.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Gotham 2013 Wine Men of Gotham Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Gotham,#471163
+17054,Australia,"Hints of camphor and adhesive bandage mingle with raspberry compote on the nose, while the flavors turn a bit stewed, with the camphor gaining in prominence. It's taut and tart, with a lean edge to the finish.",Descendant,85,125.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2010 Descendant Shiraz-Viognier (Barossa Valley),Shiraz-Viognier,Torbreck,#462F7C
+17398,Australia,"Leather and dark plum aromas carry with them a bit of barnyard, and while the flavors are pleasantly dark and earthy, the finish turns slightly metallic. It's a reasonably full-bodied wine, but one that probably should be consumed soon.",,84,11.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Paringa 2013 Shiraz (South Australia),Shiraz,Paringa,#471669
+17403,Australia,"Lightweight but amply wooded, this is an earthy wine tinged with cedar, mocha and campfire smoke. Drink up.",,84,22.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Sibling Rivalry 2012 Pinot Noir (Yarra Valley),Pinot Noir,Sibling Rivalry,#414286
+17418,Australia,"Showing some bricking at the rim, at nearly seven years of age this is a mature, herbal Cabernet. Vanilla notes frame tobacco, earthy and slightly vegetal flavors of bell pepper and tomato. Tannins are firm and chewy, while the fruit seems to be receding. Drink up.",Suckfizzle,84,43.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Stella Bella 2008 Suckfizzle Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Stella Bella,#471163
+17543,Australia,"This should have fairly widespread appeal for its bold cherry fruit aromas and balanced feel. Floral notes add interest on the nose, while the palate shows some savory mushroom and dusty earth character. The tannins are slightly astringent on the finish, so opt for red meat rather than a more delicate dish. Drink now.",Regional Reserve,86,17.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2014 Regional Reserve Pinot Noir (Yarra Valley),Pinot Noir,De Bortoli,#414286
+17669,Australia,"The centerpiece of Phil Sexton's current venture (he previously founded and sold both a brewery and a winery) is this single vineyard, from which he makes a Pinot Noir and this wine. The 2012 Chard is a bold yet elegant wine, filled with grilled pineapple and citrus fruit and framed by hints of toasted nuts, vanilla and graphite.",Sexton Vineyard,92,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2012 Sexton Vineyard Chardonnay (Yarra Valley),Chardonnay,Giant Steps,#440154
+17755,Australia,"Neither McLaren Vale nor Adelaide Hills are particularly known for their Rieslings, but this is a fine example. Scents of wet stone and flower-shop greens lead into off-dry flavors of lemon zest and green apples. The balance between sugar and acids, lithe body and long finish is finely judged. Drink now–2025.",The Dry Dam,92,17.0,South Australia,McLaren Vale-Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2015 The Dry Dam Riesling (McLaren Vale-Adelaide Hills),Riesling,D'Arenberg,#443982
+17775,Australia,"This is Yalumba's flagship Viognier, barrel-fermented for an extra layer of richness. Fig, melon and apricot notes mark the nose and palate, and while it is fully ripe and weighty, it carries its alcohol well. Fruit intensity easily balances the oak, which remains almost invisible.",The Virgilius,92,45.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Yalumba 2015 The Virgilius Viognier (Eden Valley),Viognier,Yalumba,#45347F
+17776,Australia,"While the trend among many Australian Cabernets is towards moderate, silky tannin structures, this austere, firm wine embraces its dry, dusty nature. Cedar and toast frame big cassis fruit, ending with chewy tannins. Drink 2018–2028.",Titan,92,28.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Alpha Crucis 2014 Titan Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Alpha Crucis,#471163
+17778,Australia,"Roughly two-thirds Shiraz and one-third Grenache, this is a full-bodied, lush example of Barossa Valley product. Hints of mint and cracked pepper add nuance to the ripe raspberry fruit, while spice and red-fruit nuances linger on the supple yet spine-tingling finish. Drink now–2020 for its youthful exuberance.",Wallace,92,27.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Glaetzer 2013 Wallace Shiraz-Grenache (Barossa Valley),Shiraz-Grenache,Glaetzer,#2D6E8E
+17791,Australia,"The Cabernet accounts for just 10% of the blend, but presumably contributes the hints of dried marjoram that add interest to the vanilla and cassis aromas and flavors. This medium-bodied wine finishes dry, with softly dusty tannins. Ready to drink now.",E Series,85,20.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Elderton 2013 E Series Shiraz-Cabernet Sauvignon (South Australia),Shiraz-Cabernet Sauvignon,Elderton,#460B5E
+17810,Australia,"This medium-bodied red is a bit obvious and confected, but delivers ample cassis fruit without any obvious structure to support it. It's jammy and a bit sweet-tasting on the finish.",Winemaker's,84,14.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Wildling 2013 Winemaker's Red (Australia),Red Blend,Wildling,#3F4788
+17926,Australia,"Pretty good Merlot, with varietally correct scents of black cherries and mocha leading into flavors of blue and black fruits. It's medium in body, with ample fruit and hints of chocolate and coffee on the finish.",The Ratbag,87,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hugh Hamilton 2008 The Ratbag Merlot (McLaren Vale),Merlot,Hugh Hamilton,#24848D
+17927,Australia,"Bright, crisp and fresh, as a 2009 Clare Riesling should be, this is a pretty wine, blooming on the nose with floral notes, apples and citrus fruit. The lime and green apple flavors are zesty on the finish, but not that long or intense. Probably best from now–2014, but could develop interesting nuances beyond that.",,87,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Koonowla 2009 Riesling (Clare Valley),Riesling,Koonowla,#443982
+17962,Australia,"This is a well-priced example of Barossa Cabernet, laden with characteristic notes of chocolate, mint and berry fruit, wrapped in a layer of toasty oak. It's full bodied, yet easy to drink because of the soft tannins and mouthwatering finish. Probably best between now and 2020.",Grand Barossa,88,16.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Château Tanunda 2012 Grand Barossa Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Château Tanunda,#471163
+17963,Australia,"At 6+ years post-vintage, this wine seems pretty mature. The tannins are supple, while the fruit is starting to take on some dried character. Other notes include molasses, caramel, dried leaves and tomato. The blend is 88% Cabernet Sauvignon and 12% Sangiovese.",Melba Lucia,88,30.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2008 Melba Lucia Cabernet Sauvignon-Sangiovese (Yarra Valley),Cabernet Sauvignon-Sangiovese,De Bortoli,#20A585
+18432,Australia,"Full bodied and richly textured, this is a terrific value in Barossa Cabernet. And it's no simple fruity concoction, either. Instead, it delivers complex notes of grilled meat, coffee and black olive layered easily over a base of dark plums. Finishes long, velvety and mouthwatering; drink now–2020.",Blacksmith,91,30.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2008 Blacksmith Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Langmeil,#471163
+18468,Australia,"Despite the broad South Australia appellation listed on the label, this small-batch wine is from a single vineyard located between Barossa and the Adelaide Hills. It's meaty and stalky, with raisiny dark fruit, cocoa powder and Dr. Pepper notes. The palate changes directions but is equally delicious in juicy cranberry, earth and herbs, with tightly grained tannins and lively acidity.",,92,28.0,South Australia,South Australia,,,,Ess & See 2014 Tempranillo (South Australia),Tempranillo,Ess & See,#1FA187
+18563,Australia,"Fullish and broad in the mouth without going overboard, this is textbook Chardonnay with mass appeal. Peach and vanilla flavors persist nicely on the finish, pointed up with finely judged acids. Drink now.",,86,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2009 Chardonnay (South Eastern Australia),Chardonnay,Jacob's Creek,#440154
+18637,Australia,"Although not nearly as flashy as many of its brethren, this is a well balanced Barossa Shiraz that could cellar well. Hints of mint accent the nose, bolstered by toasty oak, while the flavors feature red currants and raspberries. The acids are reasonably crisp given the context, lingering nicely on the finish. Fine to drink now, but try to save a few bottles until 2020 or so to see how it develops.",Old Block,90,70.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,St Hallett 2009 Old Block Shiraz (Barossa),Shiraz,St Hallett,#471669
+18660,Australia,"A relative bargain amid top-quality McLaren Vale Shiraz, the 2005 Top of the Hill Shiraz is beginning to show some softening and signs of maturity, yet remains intensely perfumed and flavored. Coffee bean and black olive notes start it off, backed by enough fruit richness to give it an expansive mouthfeel and long finish. Drink now–2015.",Top of the Hill,92,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,The Old Faithful 2005 Top of the Hill Shiraz (McLaren Vale),Shiraz,The Old Faithful,#471669
+18668,Australia,"Hugh Hamilton's top-of-the-line wine is the Jekyll & Hyde Shiraz-Viognier. In 2007, it's a full-bodied, richly textured wine filled with raspberry, cherry and chocolate aromas and flavors. Based on its somewhat chewy finish, it should last and evolve through at least 2020.",Jekyll & Hyde,92,48.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hugh Hamilton 2007 Jekyll & Hyde Shiraz-Viognier (McLaren Vale),Shiraz-Viognier,Hugh Hamilton,#462F7C
+18717,Australia,"The fruit flavors are plum and blackberry, with warm, meaty notes and hints of mocha and dill. The varietal character shows most in the wine's feel on the palate, which is ample but just slightly austere and restrained. Drink now–2020.",,91,22.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Earthworks 2012 Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Earthworks,#471163
+18807,Australia,"Licorice, berry and mocha cream are major elements in the seductive bouquet. Creamy, concentrated fruit, leather and black pepper on the palate ride the extracted but not too syrupy mouthfeel. This is a rich Aussie Shiraz with dense fruit and lots of oak—but also enough spine to keep its balance.",Reserve,91,16.0,South Australia,Limestone Coast,,,,Heritage Road 1998 Reserve Shiraz (Limestone Coast),Shiraz,Heritage Road,#471669
+18852,Australia,"This is a nice Bordeaux-style blend with pretty cherry and currant fruit and some cedar shadings, but lack the complexity of others in its style. It's straight forward, polite and restrained.",Quintet,89,125.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Mount Mary 2010 Quintet Red (Yarra Valley),Bordeaux-style Red Blend,Mount Mary,#1F938B
+18867,Australia,"Subtle aromas of grilled bread, citrus curd and peach set the stage for a plump, medium-bodied wine that boasts restrained flavors of white peach, pineapple and lime. Drink now–2016.",Flint Rock,89,22.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Howard Park 2013 Flint Rock Chardonnay (Great Southern),Chardonnay,Howard Park,#440154
+18956,Australia,"For a fortified wine with a light amber hue, this is wonderfully fresh and citrusy, with aromas and flavors of marmalade and bergamot. Honeyed, toffee-like notes add depth, with the richness of the wine brought home by the slightly viscous finish.",,89,19.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Campbells NV Tokay (Rutherglen),Tokay,Campbells,#1E9D88
+18961,Australia,"Medium amber in color, this Muscat boasts scents of berries, pineapple and raisin to go with flavors of honey and spice. It's a lush, sweet style, with less complexity than some, but great texture and length.",,89,15.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Chambers Rosewood Vineyards NV Muscat (Rutherglen),Muscat,Chambers Rosewood Vineyards,#472676
+18968,Australia,"Powerful tea and bergamot notes are fresh and orangey, balancing deeper, richer notes of toffee and honey. Long on the finish, and not overly sweet.",Classic,89,35.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Stanton & Killeen NV Classic Tokay (Rutherglen),Tokay,Stanton & Killeen,#1E9D88
+19043,Australia,"Showing a bit of evolution, The Turk features hints of leather and beef alongside blackberry and cassis. It's reasonably complex for the price, but dries out a bit on the finish, suggesting it may be past its best. Drink up.",The Turk Cabernet-Shiraz-Mourvèdre-Grenache,84,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2006 The Turk Cabernet-Shiraz-Mourvèdre-Grenache Red (Barossa Valley),Red Blend,Turkey Flat,#3F4788
+19059,Australia,"A solid effort, this basic red blend features mint accents layered over slightly herbal cassis aromas and flavors. It's medium-bodied, with silky tannins on the finish. Drink now.",Cabernet-Shiraz-Merlot,84,10.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Ironberry 2008 Cabernet-Shiraz-Merlot Red (Western Australia),Cabernet Blend,Ironberry,#23A883
+19065,Australia,"Surprisingly full bodied, lush and expansive given its moderate alcohol level, this is a whirlwind of tropical fruit and buttered nuts on the nose. It then grows more refined and understated on the palate, where the flavors are white peach, melon and citrus.",Heytesbury,91,49.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2010 Heytesbury Chardonnay (Margaret River),Chardonnay,Vasse Felix,#440154
+19071,Australia,"This is a full-bodied, lushly textured Chardonnay that manages to avoid the sensation of excess weight. Pear, melon and white peach notes are framed by understated toasted nuttiness, while a long line of acid prolongs the harmonious finish. Drink now–2018.",Isolation Ridge Vineyard,91,40.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2011 Isolation Ridge Vineyard Chardonnay (Frankland River),Chardonnay,Frankland Estate,#440154
+19077,Australia,"Despite being full bodied, this is a very drinkable example of Barossa Cabernet. It's not very tannic, but instead offers mouthwatering suppleness. Cherry and red currant fruit notes are underscored by mocha shadings.",,91,22.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Schild Estate 2009 Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Schild Estate,#471163
+19078,Australia,"Named for a Margaret River subregion, Cape Mentelle's Wilyabrup is a blend of Cabernet Sauvignon, Merlot and Cabernet Franc. It's structured and restrained on the palate, easily blending cherry, cedar, leather and earth notes in a truly claret-styled wine whose dry finish picks up hints of black tea. Drink now–2020.",Wilyabrup,91,55.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cape Mentelle 2010 Wilyabrup Red (Margaret River),Bordeaux-style Red Blend,Cape Mentelle,#1F938B
+19193,Australia,"This medium- to full-bodied wine manages to be mouthfilling and round without being excessively soft or syrupy. A savory, meaty, coffee-like note complements the ripe blackberry fruit, which persists a good long time on the finish. Drink now–2015.",Killerman's Run,91,20.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Kilikanoon 2005 Killerman's Run Shiraz (South Australia),Shiraz,Kilikanoon,#471669
+19199,Australia,"Loaded with smoke, hickory and vanilla, this definitely shows plenty of oak, but there's also plenty of fruit to balance the ledger. Cola and blackberry flavors pick up a slightly tart edge on the long, finely textured finish.",Cellar No. One Reserve,91,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Chateau Reynella 2004 Cellar No. One Reserve Shiraz (McLaren Vale),Shiraz,Chateau Reynella,#471669
+19209,Australia,"Dry, lean and tight, this is a crisply mineral Sauvignon Blanc that manges to avoid any sense of grassiness or overly herbal notes, instead focusing on a narrow range of fruit flavors: green apple, lime and grapefruit. Fine as an apéritif or with light seafood dishes. Drink now.",The Y Series,86,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2007 The Y Series Sauvignon Blanc (South Australia),Sauvignon Blanc,Yalumba,#482172
+19236,Australia,"This wine marches to its own tune, with appealing but unusual opening notes of berries, plastic, chocolate and petroleum that add to the prominent red cherry note on the palate. There's a lot of extract here and a sweetish palate that takes on a coffee edge on the finish. Drink up.",,86,13.0,New South Wales,Riverina,,,,Nugan Family Estates 2008 Cabernet Sauvignon (Riverina),Cabernet Sauvignon,Nugan Family Estates,#471163
+19283,Australia,"Made in a soft, user-friendly style, the 2008 DB Family Selection Petite Sirah offers up a flavorful mouthful of plum and baking spices. It's medium-bodied, with a silkiness to the structure that belies the grape variety, yet that same softness makes it immediately appealing. Drink now.",DB Family Selection,87,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2008 DB Family Selection Petite Sirah (South Eastern Australia),Petite Sirah,De Bortoli,#26AC81
+19292,Australia,"Coming in at just under 13% alcohol, this is a dry, Provence-styled rosé marked by crisp strawberry and citrus flavors. Ending on a refreshing, slightly chalky-mineral note, this would make a fun summer sipper.",Rosé of Sangiovese,87,16.0,New South Wales,Mudgee,,Joe Czerwinski,@JoeCz,Robert Oatley 2010 Rosé of Sangiovese Rosé (Mudgee),Rosé,Robert Oatley,#450558
+19388,Australia,"More concentrated-tasting and intense than some of d'Arenberg's other 2011 single-vineyard Shirazes, this is still somewhat restrained. Some tobacco notes add nuance to the Ribena-like fruit, picking up hints of vanilla and earth on the finish.",The Blind Tiger Single Vineyard,89,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 The Blind Tiger Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+19536,Australia,"For $20, you could do a lot worse than to sample this wine, which boasts plenty of varietal character and ample quality. Cedar, tobacco, cassis and dark chocolate suggest a fully ripe wine, while the the structure remains fine and linear, with gentle, cocoa-powder-textured tannins that line the finish. Drink now–2025.",Killerman's Run,90,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2014 Killerman's Run Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Kilikanoon,#471163
+19551,Australia,"This is a dry, relatively austere wine. It showcases aromas of wet stone and lemon thyme, followed by flavors of pineapple and lemon and a long, citrusy finish. Drink now.",The Long Paddock,90,15.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Redbank 2015 The Long Paddock Pinot Grigio (Victoria),Pinot Grigio,Redbank,#423D84
+19559,Australia,"Classic Hunter Valley Sem, if maybe just a little fruit-forward. Like tasting light-bodied lime juice that finishes fresh and clean. Drink it now with oysters, or put some aside for up to 10 years for it to develop toast, honey and marmalade aged characters.",,90,25.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Tyrrell's 2016 Semillon (Hunter Valley),Sémillon,Tyrrell's,#2C728E
+19683,Australia,"Bright, lean and vibrant, this is a medium-bodied rosé with gingery-citrusy notes that could go well with fish or poultry dishes.",Home Vineyard Grenache,85,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hancock & Hancock 2016 Home Vineyard Grenache Rosé (McLaren Vale),Rosé,Hancock & Hancock,#450558
+19702,Australia,"This widely available, bargain-priced tawny remains an Australian classic, offering toffee and walnut aromas and flavors along with dust-covered leather and just a hint of fresh fruit. It's lighter in weight than you might expect from a Port-inspired New World wine, but offers a tasty drop on a wintry evening. Imported by Pacific Wine Partners.",Whiskers Blake Classic Tawny,88,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Hardys NV Whiskers Blake Classic Tawny Port (South Eastern Australia),Port,Hardys,#2AB07E
+19735,Australia,"This sees less new oak than the Jones Block, so the quality of the biodynamically grown fruit shines. Herbal notes reminiscent of rosemary and thyme accent raspberry and cherry fruit, and while there's ample weight and ripeness, the overall impression is of drinkability and ease.",Quandong Farm Single Vineyard,92,32.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Paxton 2014 Quandong Farm Single Vineyard Shiraz (McLaren Vale),Shiraz,Paxton,#471669
+19831,Australia,"A blend of Shiraz from Eden Valley and the valley floor, this is both amply endowed and impressively complex. The creamy purée of raspberries is dusted with peppery spice and cocoa, leaving a savory impression on the lasting finish. Drink now—2015.",The Struie,93,50.0,South Australia,Barossa,,Christina Pickard,@winewchristina,Torbreck 2006 The Struie Shiraz (Barossa),Shiraz,Torbreck,#471669
+19844,Australia,"This medium-bodied Chardonnay offers tangerine and melon flavors, subtle leesy and oaky notes and a plump, succulent mouthfeel. Yes, it fades quickly on the finish, but this a wine to quaff, not age. Drink now.",,87,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2016 Chardonnay (South Australia),Chardonnay,Oxford Landing,#440154
+19845,Australia,"Full bodied and warm, this is a ripe, fruit-driven style that's made for immediate enjoyment. Grapy, plummy fruit adds notes of baking spices and chocolate on the supple finish.",,87,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Paringa 2015 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Paringa,#471163
+19867,Australia,"There's no denying the intensity of this 60-40 blend, but could we dial up the ripeness just a little bit? This is tart almost to the point of sourness, with lemony flavors that last a good long time. Pair it with raw shellfish for best effect.",,87,25.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Voyager Estate 2014 Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Voyager Estate,#3C4E8A
+19901,Australia,"Citrusy and perfumed, with a bit of tomato-leaf herbalness thrown into the mix, this is a light, rainwater-fresh style of Sauvignon Blanc that needs more concentration and intensity before it can be considered top-flight. It's a workmanlike effort, but nothing more.",,85,19.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Coldstream Hills 2007 Sauvignon Blanc (Yarra Valley),Sauvignon Blanc,Coldstream Hills,#482172
+19907,Australia,"A surprisingly lackluster performance for this well-known Western Australia brand. Lime and grapefruit flavors are clean and pleasant but the wine lacks much in the way of intensity or weight. It's good, but no more. Imported by Blue Water Wine Company. Imported by Howard Park Wines.",,85,20.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Howard Park 2006 Riesling (Western Australia),Riesling,Howard Park,#443982
+19998,Australia,"Winemaker Nick Goldschmidt has turned out a Shiraz that seems a bit conflicted. It's only medium-bodied, yet packs in overripe flavors of cooked berries laced with dark chocolate and espresso. The peppery notes on the finish give it enough verve to pair with steaks or burgers.",,87,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Forefathers 2005 Shiraz (McLaren Vale),Shiraz,Forefathers,#471669
+20017,Australia,"This blend of 55% Shiraz and 45% Cabernet Sauvignon is full bodied and rather tannic, with dark notes that run the gamut from leather and grilled meat to espresso and mocha. Fortunately, the texture turns velvety on the finish, allowing some mouthwatering elements to shine through. Drink now–2020.",,86,19.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Jip Jip Rocks 2013 Shiraz-Cabernet (Padthaway),Shiraz-Cabernet,Jip Jip Rocks,#2FB37B
+20044,Australia,"It's hard to believe such a wine can come from the Barossa, a region known for size and richness. But this is part of a new wave of Aussie Shiraz—medium in body and silky in style, with moderate alcohol levels. Healthy doses of oak impart notes of hickory smoke, cedar and vanilla to the plum fruit. Drink now–2025.",Breechens,91,18.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Maverick 2014 Breechens Shiraz (Barossa),Shiraz,Maverick,#471669
+20248,Australia,"There's a touch of wood to this wine, but the primary emphasis is on citrusy, pineapple-scented fruit. Apple flavors provide roundness, while the wine finishes citrusy and fresh without being sharp.",MasterPeace,87,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Andrew Peace 2006 MasterPeace Chardonnay (South Eastern Australia),Chardonnay,Andrew Peace,#440154
+20906,Australia,"Nicely made in a cool-climate style, this medium-bodied Shiraz offers hints of pepper and clove alongside crisp, sour plum fruit. Charming spice shadings line the long, mouthwatering finish.",Omrah,87,18.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 2005 Omrah Shiraz (Western Australia),Shiraz,Plantagenet,#471669
+20912,Australia,"Mainly Shiraz (87%), this is a meaty, savory and plummy red at a reasonable price. Hints of vanilla and cola impart additional complexity, while the mouthfeel is creamy, cushioned by ripe tannins. It drops off just a little on the finish, but it's still a very good drop for near-term consumption.",Memsie Shiraz-Cabernet Sauvignon-Malbec,87,14.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Water Wheel 2006 Memsie Shiraz-Cabernet Sauvignon-Malbec Red (Bendigo),Red Blend,Water Wheel,#3F4788
+20968,Australia,"Initial aromas are volatile yet attractive in dried autumn leaves, cola, baking spices and red currants, while the palate slaps you in the face with vice-like tannins and tart, mouth-puckering acidity. A bitter oak finish, without the fruit or structure doesn't hold it all together.",,85,35.43766346992153,South Australia,McLaren Vale,,,,Blackbilly 2015 G-S-M (McLaren Vale),G-S-M,Blackbilly,#26818E
+20988,Australia,"Showing its age, but unfortunately not very well, this wine has lost any semblance of freshness, with notes of overripe lemons, stone fruit, pressed buttercups and buttered green beans. The palate is more attractive in its creamy texture, balanced by plenty of acidity. The finish once again descends into rather off-putting buttered green bean flavors.",Bridgeland Block,85,28.0,Western Australia,Margaret River,,,,Streicker 2013 Bridgeland Block Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Streicker,#3C4E8A
+21204,Australia,"This is pungent, showing some sweaty, boxwood notes alongside lemony citrus fruit. It's light on its feet, with moderately intense lemon flavors that fade on the finish. Drink now.",Miamup,89,23.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Howard Park 2016 Miamup Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Howard Park,#3C4E8A
+21217,Australia,"Australia used to make more blends like this, using the acids of Semillon to balance the ripeness of Chardonnay. In this case, they come together to offer toasty, honeyed notes backed by a strong lemony spine. It's crisp and tart on the finish at first, then relaxes rapidly with airing, so drink it over the next year or so.",Breechens,89,18.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Maverick 2012 Breechens Chardonnay-Semillon (Barossa),Chardonnay-Semillon,Maverick,#1E9A89
+21235,Australia,"This 60-40 blend combines Shiraz's blackberry fruit with Cab's slightly herbal notes to make a pretty marriage. It shows enough firmness to stand up to rich, fatty meats now, or to sustain it through up to a decade of cellaring.",Mountain Estate,89,14.0,Australia Other,Central Ranges,,Joe Czerwinski,@JoeCz,Inkberry 2009 Mountain Estate Shiraz-Cabernet Sauvignon (Central Ranges),Shiraz-Cabernet Sauvignon,Inkberry,#460B5E
+21292,Australia,"This fills the basic need for a steakhouse-ready red at a reasonable price. Cassis fruit is framed by hints of cedar, vanilla and tobacco, while the tannins are smooth to the point of creaminess. Drink now.",,87,17.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Insurrection 2014 Shiraz-Cabernet Sauvignon (South Eastern Australia),Shiraz-Cabernet Sauvignon,Insurrection,#460B5E
+21301,Australia,"This medium-bodied, silky-textured Chardonnay offers hints of pineapple and yellow plum on the nose and palate. It's clean and refreshing on the finish, just what's wanted in this easy-to-like price range. Drink now.",,87,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Milton Park 2014 Chardonnay (South Australia),Chardonnay,Milton Park,#440154
+21451,Australia,"Octavius has always been oaky, but over the years the fruit has come into better balance, and the 2009 may be one of the most successful editions yet released. It's dense and impenetrable at first, only slowly yielding hints of plum, mocha and vanilla. The texture is rich and supple enough to make the wine approachable now, but it should evolve and improve through 2020 or beyond.",The Octavius,93,119.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2009 The Octavius Shiraz (Barossa),Shiraz,Yalumba,#471669
+21463,Australia,"Once past the sticker shock, enjoy this wine for its richly toasty aromas, plush tropical fruit and warm, lingering finish. It's medium to full in body, with a creamy texture and hints of vanilla. Drink now–2018.",,92,200.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cloudburst 2013 Chardonnay (Margaret River),Chardonnay,Cloudburst,#440154
+21575,Australia,"Starts off tighter and less giving than the regular Mort's Block, only gradually displaying its greater potential longevity. Offers crushed stone and lime notes, medium body and a clean green apple and citrus finish right now, but expect it to develop petrol, honey and toast notes within the next several years; drink now–2017.",Mort's Reserve Watervale,87,35.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2008 Mort's Reserve Watervale Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+21701,Australia,"This medium-bodied Shiraz is sturdily built without being too hard or too fat. Sure, it's a bit simple, relying on black cherry and plum fruit with modest hints of chocolate and spice, but there's plenty of intensity for the price.",Ass Kisser,85,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Rocland Estate 2007 Ass Kisser Shiraz (South Australia),Shiraz,Rocland Estate,#471669
+21758,Australia,"This joint venture between the Laughton (Jasper Hill) and Chapoutier families continues to impress. The 2010 is firmly built, with raspberry and boysenberry fruit notes supported by hints of mint and chocolate. The finish is long and dusty, tinged with mocha. It's approachable now, but should age well through 2020, at least.",,92,85.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Cluster M45 2010 Shiraz (Heathcote),Shiraz,Cluster M45,#471669
+21761,Australia,"Sourced entirely from Tasmania, the 2011 Yattarna shows a richer style than some other recent vintages while still retaining exceptional freshness and length. Roasted nuts and grilled citrus dominate, and the palate is plump and silky in texture. Drink now–2020. Ten cases imported.",Yattarna,92,130.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Penfolds 2011 Yattarna Chardonnay (Tasmania),Chardonnay,Penfolds,#440154
+21782,Australia,"Jindalee's 2007 is a medium-bodied Shiraz with slightly candied fruit and a sensation of sweetness on the short, soft finish.",Circle Collection,81,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jindalee 2007 Circle Collection Shiraz (South Eastern Australia),Shiraz,Jindalee,#471669
+21785,Australia,"Thickly textured and sweet, with simple fruity flavors of cherries, strawberries and watermelon.",Rosé Kosher,81,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Altoona Hills 2008 Rosé Kosher Shiraz (South Eastern Australia),Shiraz,Altoona Hills,#471669
+21797,Australia,"De Bortoli almost always seems to emphasize the savory side of wine, and this Heathcote Shiraz stays true to that philosophy. Black olive and espresso notes speak of Shiraz, while the the structure remains tight and firm on the finish. This should age well through at least 2020.",Regional Reserve,89,17.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,De Bortoli 2014 Regional Reserve Shiraz (Heathcote),Shiraz,De Bortoli,#471669
+21928,Australia,"A little less austere and easier to drink than many dry Aussie Rieslings, this wine features lime and vanilla shadings on the nose, and ample apple, melon and citrus flavors. It's fullish and round, despite only 12.5% alcohol, with a long, mouthwatering finish. Drink now–2010.",Dry,90,15.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Rocky Gully 2006 Dry Riesling (Frankland River),Riesling,Rocky Gully,#443982
+21942,Australia,"The color is dark and dense and so are the aromas, which show plenty of vanilla oak and mulberry fruit. As you might expect from winemaker Ben Glaetzer and the Mitolo family, this is a full-bodied Shiraz, albeit not quite as lush and riveting as the 2005 version. The tannins this year are soft, the acids a bit on the tart side, giving the fruit a crisp edge. Probable drinking window: 2010–2020.",Savitar,90,66.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2006 Savitar Shiraz (McLaren Vale),Shiraz,Mitolo,#471669
+21943,Australia,"This is an expressive Barossa Shiraz, combining ripe raspberry fruit and a lush, creamy texture with herbal, savory notes and crisp acidity. Turns a bit zingy on the finish, with cranberry overtones. Drink now–2015.",,90,66.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Butting Heads 2005 Shiraz (Barossa Valley),Shiraz,Butting Heads,#471669
+21949,Australia,"Marlargo appears to be a reasonably successful attempt at fashioning a pan-Australian brand, sourcing fruit from different parts of the country. This Clare Riesling starts with scents of talcum powder and lime sherbet, then follows those up with similar flavors. It's muscular and taut, even a bit austere, clocking in at only 11.4% alcohol. May develop through 2015.",Bolero,90,16.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Marlargo 2006 Bolero Riesling (Clare Valley),Riesling,Marlargo,#443982
+22009,Australia,"Fleeting hints of rose petals add allure to this wine's aromas of black cherries, cola and spice. Unlike some Tasmanian Pinots, it's generous and round in the mouth, with warm spice notes combining with plum and cola on the finish. Drink now.",Avancé,90,38.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Glaetzer-Dixon 2013 Avancé Pinot Noir (Tasmania),Pinot Noir,Glaetzer-Dixon,#414286
+22052,Australia,"This ripe yet varietally true style features scents of baked pear, ripe melon, cinnamon and allspice. This is plump but lacking true depth, finishing short.",Sirenya,85,17.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Vinaceous 2014 Sirenya Pinot Grigio (Adelaide Hills),Pinot Grigio,Vinaceous,#423D84
+22060,Australia,"This medium-bodied wine doesn't show much of the variety's mouthfeel, but does show clean, dry flavors of melon and citrus. Enjoy it now through the end of 2016.",Breathing Space,85,35.43766346992153,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Evans & Tate 2015 Breathing Space Pinot Grigio (Australia),Pinot Grigio,Evans & Tate,#423D84
+22316,Australia,"Full bodied, muscular and intense, this brooding Shiraz is built for the cellar. Smoke and blackberries are crunchy with acid and primary fruit, finishing crisp. Drink 2018–2025.",RSW,90,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2013 RSW Shiraz (McLaren Vale),Shiraz,Wirra Wirra,#471669
+22317,Australia,"Despite being only medium bodied, this is a firmly tannic, structured wine. Subtle French oak scents of cedar and vanilla accent mixed berry fruit, while the finish is youthful, crisp and unyielding. This needs a minimum of two more years in the cellar. Drink 2018 through 2025.",,90,36.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2013 Shiraz (Hunter Valley),Shiraz,Brokenwood,#471669
+22419,Australia,"This vintage of the Reiver seems mintier than others, and at times the mint seemed a dominant feature of this wine, which otherwise offers jammy berry fruit and chocolate aromas and flavors. At 15% abv, it's not a shy wine, but neither is it as richly textured as might be expected. Drink it 2013–2020.",Reiver,88,55.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Mitolo 2007 Reiver Shiraz (Barossa Valley),Shiraz,Mitolo,#471669
+22429,Australia,"Named for the famous Shiraz-growing district at the north end of the Barossa Valley, Penfolds' Kalimna Shiraz is in fact a multiregional South Australian blend that aims to recreate the Kalimna style. It succeeds admirably, albeit without the intensity and complexity that marks the best Barossan Shirazes, combining raspberries with touches of plum and prune before turning chocolaty on the finish. Drink now–2015.",Bin 28 Kalimna,88,26.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Penfolds 2006 Bin 28 Kalimna Shiraz (Barossa Valley),Shiraz,Penfolds,#471669
+22615,Australia,"Looking for something different to serve with your cheese course? This aged white might be just the thing. Scents of grape skins and honey waft from the glass, followed by flavors akin to honey, beeswax and bitter almond. It tastes like there's a hint of residual sugar as well.",The Violinist,89,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mollydooker 2011 The Violinist Verdelho (McLaren Vale),Verdelho,Mollydooker,#277D8E
+22616,Australia,"Give this wine a brief stay in a decanter to help blow off some of the tarry notes and it should be fine. It's full-bodied and creamy, with mocha and black-fruit flavors that finish plush and soft. Drink now.",The Chook,89,20.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,The Black Chook 2015 The Chook Shiraz-Viognier (South Australia),Shiraz-Viognier,The Black Chook,#462F7C
+22862,Australia,"Winemaker Virginia Willcock's latest effort shows that top-flight Margaret River Chardonnay doesn't have to cost three figures. This is fine stuff, a bit funky at first, but opening up in the glass to reveal hints of brown-sugar-glazed pineapple and fresh citrus. It's medium to full in body, with a long, almost painfully crisp finish that brings all that fruit into bright, refreshing focus.",,93,40.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2013 Chardonnay (Margaret River),Chardonnay,Vasse Felix,#440154
+22863,Australia,"Not many $30 wines can offer fruit from 100-year-old vines, but this one does. It's full bodied and rich, with notes of plum and black cherries supported by hints of chocolate and vanilla. With its long, velvety finish, there's no reason to defer gratification, although it should drink well through at least 2020.",Generation Series The Magnet,93,33.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mr. Riggs 2013 Generation Series The Magnet Grenache (McLaren Vale),Grenache,Mr. Riggs,#481C6E
+22864,Australia,"Appropriately youthful and flashy, this is textbook Barossa Shiraz, full bodied and rich. Dusty tannins and mouthwatering acids support dark berry fruit, cedar and vanilla. It's drinkable now, but should add savoriness over the next 10 or more years.",Orphan Bank,93,69.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2013 Orphan Bank Shiraz (Barossa),Shiraz,Langmeil,#471669
+23060,Australia,"This full-bodied, creamy-textured Cabernet is ready to drink. Confected notes of cassis and vanilla are slightly exaggerated, but make a big impression on the palate, while the supple tannins linger elegantly on the finish. Drink now–2020.",,91,59.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Shirvington 2010 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Shirvington,#471163
+23073,Australia,"The mint, cassis and baking spice aromas are classic New World Cabernet, as is the wine's ample body and creamy texture. By purist standards, it's too drinkable, too approachable now, with tannins that just glide into the background. Drink now–2020.",Jackaman's,90,57.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2010 Jackaman's Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Langmeil,#471163
+23110,Australia,"A fine example of one of Tasmania's most celebrated styles, this bubbly starts with notes of lemon, white pepper and blossoms. The lemon and floral combo continues on the palate, which is on the leaner side texturally but satisfies with a mouth-tingling mousse and a slight sweetness, balanced with refreshing acidity.",,89,25.0,Tasmania,Tasmania,,,,Ninth Island NV Sparkling (Tasmania),Sparkling Blend,Ninth Island,#38578C
+23150,Australia,"Like all the Duval wines, this is amply structured. Cedar and vanilla notes frame dark fruit flavors in this blend of 51% Shiraz, 30% Grenache and 19% Mourvèdre. Its full bodied, with a long, dusty finish. Drink now–2022.",Plexus Shiraz-Grenache-Mourvèdre,90,40.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,John Duval Wines 2012 Plexus Shiraz-Grenache-Mourvèdre G-S-M (Barossa Valley),G-S-M,John Duval Wines,#26818E
+23157,Australia,"The blend of 56% Grenache and 40% Shiraz also includes 4% Sagrantino, said to enhance structure. For its size, the wine is remarkably restrained, combining slightly resinous cherry fruit with hints of cinnamon, clove and mint. The finish is supple, suggesting early drinkability. Enjoy now–2017.",7th Son,90,35.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2012 7th Son Grenache-Shiraz (McLaren Vale),Grenache-Shiraz,Mitolo,#35B778
+23166,Australia,"For the price, this offers much more depth and structure than expected. Dark berry fruit, vanilla and cedar mark the nose, while there's plenty of weight and richness on the palate. Drink now–2025.",Signature,90,14.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Red Knot 2014 Signature Shiraz (McLaren Vale),Shiraz,Red Knot,#471669
+23211,Australia,"Just tiny amounts of this wine (25 cases) are available in the U.S. market, but it represents a trend in Australia of celebrating old-vine Grenache. A blend of two parcels from the Blewitt Springs and Seaview subregions, this is silky in texture, with crisp red cherries shot through with herbal streaks and a slightly warm finish.",The Vagabond Old Vine,90,50.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Thistledown 2013 The Vagabond Old Vine Grenache (McLaren Vale),Grenache,Thistledown,#481C6E
+23490,Australia,"This winery has made a nice Sauvignon Blanc as far back as I can remember. The 2016 is a linear, precise example, tightly focused and crisp on the finish. The ample pineapple and grapefruit aromas and flavors are zesty and refreshing.",,90,22.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shaw and Smith 2016 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Shaw and Smith,#482172
+23494,Australia,"Classic hints of mint mark the black-cherry and cassis aromas of this wine. On the palate, the fruit is reasonably restrained but pure, barely touched by dried spices and cedar, then glides to a silky finish. Drink now–2020.",Bremerview,90,20.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Bleasdale 2013 Bremerview Shiraz (Langhorne Creek),Shiraz,Bleasdale,#471669
+23500,Australia,"At around $20 per bottle, this is a solid Pinot Noir for the money. It's medium in body and silky in texture, with black cherry fruit and subtle shadings of iris and vanilla that ling on the finish. Drink now–2020.",MWC,90,35.43766346992153,Victoria,Victoria,,Joe Czerwinski,@JoeCz,McPherson Wine Company 2014 MWC Pinot Noir (Victoria),Pinot Noir,McPherson Wine Company,#414286
+23501,Australia,"Made with enough skin contact to yield a gentle coppery hue, this medium-bodied wine features aromas of cantaloupe, cherry and citrus. Cherry fruit on the palate is accompanied by vaguely Pinot Noir-like notes of dried bracken and moss, then glides to a long, silky finish. Drink now.",MWC,90,15.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,McPherson Wine Company 2015 MWC Pinot Gris (Victoria),Pinot Gris,McPherson Wine Company,#23888D
+23619,Australia,"With a mere 422 bottles produced, this review is barely more than academic, as it will be near impossible to track down some of this. Lucky/persistent lotto winners will experience a medium- to full-bodied red with a velvety mouthfeel, cassis, vanilla and cedar notes and something akin to charred tomato.",,91,250.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cloudburst 2012 Malbec (Margaret River),Malbec,Cloudburst,#39B976
+23805,Australia,"This is a reliable bottling for lovers of Barossa Shiraz who don't want to drop more than a Jackson. It's full bodied and plush, with layers of blackberry fruit and vanilla oak, yet remains vibrant on the mocha-tinged finish. Drink now–2020.",Patchwork,89,19.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2013 Patchwork Shiraz (Barossa),Shiraz,Yalumba,#471669
+23867,Australia,"A unique dessert wine made from botrytized Sémillon that's then fortified and aged for an average of eight years in barrel, this is a dark, coffee-brown wine, with a hint of green to its rim. Aromas are slightly nutty and molasses-like, with raisiny, almost Muscat-like flavors. Full-bodied and rich, it finishes long and sticky.",Black Noble,90,38.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,De Bortoli NV Black Noble White (Australia),White Blend,De Bortoli,#32638D
+23970,Australia,"Always one of Yalumba's top offerings, the 2008 doesn't show any of the vintage's ill effects. Instead, this blend of Cabernet (56%) and Shiraz (44%) offers a rich, open-knit mouthful of chocomint and dark plum, underscored by savory, meaty notes. This is full bodied and supple, yet muscular, with at least a decade of cellaring potential.",The Signature,94,54.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2008 The Signature Cabernet Sauvignon-Shiraz (Barossa),Cabernet Sauvignon-Shiraz,Yalumba,#208F8C
+23987,Australia,"Powerful and concentrated, this Shiraz is seemingly imbued with the essence of dark fruit, framed by well-managed oak. Cedar, mint and cassis notes are a bit Cabernet-like, but the structure is pure Shiraz, broader and suppler than Cabernet, with a rich texture and a long finish. Drink now–2025.",,93,37.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Chapel Hill 2010 Shiraz (McLaren Vale),Shiraz,Chapel Hill,#471669
+24153,Australia,"This is well-made, medium-bodied Chardonnay. Roasted cashews and grilled lemon slices mark the nose, while the flavors reflect more of the same, then draw to a long, crisp finish. Drink now–2020.",,87,21.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Fox Creek 2014 Chardonnay (McLaren Vale),Chardonnay,Fox Creek,#440154
+24184,Australia,"Clean, correct and undoubtedly well crafted, this blend of 82% Cabernet and 18% Merlot features aromas of cassis, graham crackers and mint, then adds hints of vanilla and chocolate on the palate. It's a friendly, balanced style that should have broad appeal. Drink now–2015.",,88,19.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Wildberry Estate 2005 Cabernet Sauvignon-Merlot (Margaret River),Cabernet Sauvignon-Merlot,Wildberry Estate,#345F8D
+24193,Australia,"Long Flat, once an entry-level tier of Tyrell's in the Hunter Valley, is now a brand of its own, sourcing fruit from a wide range of GIs. The Coonawarra Cabernet is soft and plushly textured, with hints of roasted fruit, leather, mocha and tobacco. Drink now.",Destinations,87,15.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Long Flat 2005 Destinations Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Long Flat,#471163
+24195,Australia,"Nicely balanced, this is the sort of restrained Cab Sauvignon Yarra Valley can do well, with hints of mint and eucalyptus layered over cassis fruit. The texture is creamy, the tannins smooth. It's not as rich as the 2003, or a barrel sample of the 2006, but it's well crafted and harmonious.",,87,17.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Sticks 2004 Cabernet Sauvignon (Yarra Valley),Cabernet Sauvignon,Sticks,#471163
+24197,Australia,"Full-bodied, soft and a bit woody, this wine's smoky, hickory-scented aromas end up slightly dominating the fruit flavors. After 20 months in French oak, the fruit has taken on a dried character, ending on a cedary note. Drink now.  Imported by Tom Eddy Wines.",,87,35.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Juniper 2003 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Juniper,#471163
+24355,Australia,"It's not that easy to find the fruit in this wine, yet persistence will uncover some peach and grapefruit as well as a little bit of melon and pear. The finish is also somewhat innocuous, with only mild amounts of fruit and verve. It's clean enough, just not very captivating.",,86,15.0,South Australia,South Australia,,,,Fox Creek 2001 Sauvignon Blanc (South Australia),Sauvignon Blanc,Fox Creek,#482172
+24439,Australia,"This is a fine example of what Barossa Shiraz is capable of at a realistic price. It's full bodied and richly textured, plush without being too soft. French oak brings a smoky, bacony element to the ripe blueberry fruit, plus a dusting of baking spices that lingers on the finish. Drink now–2025.",Twins,92,25.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Maverick 2014 Twins Shiraz (Barossa),Shiraz,Maverick,#471669
+24475,Australia,"At first, this wine seems fruity and direct, loaded with dark berry fruit. But over time, it develops more and more oak character, adding notes of cedar, vanilla and mint. It's creamy in texture, with silky tannins, but remains a bit woody on the finish.",Orphan Bank,90,69.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2014 Orphan Bank Shiraz (Barossa),Shiraz,Langmeil,#471669
+24478,Australia,"As one might expect from a Rhône-based producer, this is a meaty, earthy rendering of Shiraz. It's only medium bodied, but frames its black olive and spice flavors in dry, dusty tannins. Drink now–2020.",Shay's Flat Vineyard,90,36.0,Victoria,Pyrenees,,Joe Czerwinski,@JoeCz,Tournon by Michel Chapoutier 2012 Shay's Flat Vineyard Shiraz (Pyrenees),Shiraz,Tournon by Michel Chapoutier,#471669
+24491,Australia,"Despite its moderate alcohol level, this wine offers plenty of weight and richness. Oak-derived elements of vanilla and toast frame exotic hints of mango, pineapple and citrus. With its ample weight and plush texture, this wine is a throwback of sorts, yet it manages to achieve that with great focus and citrusy length.",,90,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2014 Chardonnay (Margaret River),Chardonnay,Robert Oatley,#440154
+24496,Australia,"It's refreshing to see another importer take a chance on Pinot Noir from the Adelaide Hills, a region that can reliably ripen the variety at reasonable crop loads. This is a rounder, more supple style of Pinot than most from Australia, with cola, spice and cherry notes reminiscent of Dr. Pepper, or of some Pinots from California's Russian River Valley. Drink now–2020.",SV,90,28.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Loom 2013 SV Pinot Noir (Adelaide Hills),Pinot Noir,Loom,#414286
+24498,Australia,"Despite its modest alcohol level, this bottling speaks of ripe fruit. Lime and bergamot aromas bring a floral element, while the flavors are of tangerine and nectarine. A touch of residual sugar adds roundness to the mouthfeel.",Hills & Valleys,90,15.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pikes 2014 Hills & Valleys Riesling (Clare Valley),Riesling,Pikes,#443982
+24564,Australia,"This light- to medium-weight wine is drinkable now—try it with Coffin Bay oysters if you can—but should also age well for up to 15 years. Notes of citrus, lime and crushed stone are mouthwatering and refreshing.",Gun Metal,91,19.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Hewitson 2015 Gun Metal Riesling (Eden Valley),Riesling,Hewitson,#443982
+24566,Australia,"There aren't many better values in rosé sparklers than this. Hints of toast and citrus add nuance to strawberry scents on the nose, while brioche notes add depth to the palate. It's a bit creamy in texture, yet remains dry and refreshing on the finish.",Premium Rosé,91,27.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Jansz NV Premium Rosé Sparkling (Tasmania),Sparkling Blend,Jansz,#38578C
+24568,Australia,"This starts off with scents of melon and wet stone. A sense of plumpness unfolds on the attack, then accelerates across the palate in a burst of bright, citrusy acids. A tactile, silky edge to the finish adds length and complexity.",The Lodge Hill Dry,91,19.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2016 The Lodge Hill Dry Riesling (Clare Valley),Riesling,Jim Barry,#443982
+24571,Australia,"For a cool-climate Pinot Noir, this is ripe, rich and round. Its ample weight delivers broad, complex flavors of clove, cinnamon, black cherry, plum and cola, but its oaky overcoat may dissuade purists. Although the fruit comes from Tasmania, the wine was made on the mainland at Giant Steps in the Yarra Valley. Drink now–2023.",,91,30.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Maison L'Envoyé 2015 Pinot Noir (Tasmania),Pinot Noir,Maison L'Envoyé,#414286
+24574,Australia,"Pike's top Riesling features aromas of crushed stone and damp moss, while the flavors bring to mind tangy limes and underripe nectarines. It's actually a bit rounder in feel than expected, then gains focus on the long finish.",The Merle,91,40.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pikes 2014 The Merle Riesling (Clare Valley),Riesling,Pikes,#443982
+24577,Australia,"Byrne is a relatively young Clare Valley producer, having made its own wines only since 2008. This Reserve Cabernet features some charred oak and espresso notes on the nose, then ripe, plummy fruit on the palate. It's full bodied, dusty and extracted, boasting plenty of intensity, but lacking polish in this youthful state. It should improve for at least the next five years or so.",Reserve,91,35.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Byrne 2013 Reserve Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Byrne,#471163
+24582,Australia,"This is full and rich but not overly heavy or sweet, coming across as similar to a well-balanced peach compote or cobbler. Hints of mushroon, cinnamon and clove add depth and complexity.",Botrytis,91,19.0,New South Wales,Riverina,,Joe Czerwinski,@JoeCz,Three Bridges 2013 Botrytis Semillon (Riverina),Sémillon,Three Bridges,#2C728E
+24585,Australia,"Winemaker Kevin Mitchell has been gradually refining his style, pulling back on alcohol and oak without sacrificing fruit intensity. This is a fruit-driven Cabernet, loaded with black cherries and cassis and supported by restrained, just-right oak levels. It's medium-bodied, softly dusty yet firm, with a surprisingly long finish. Drink now–2025.",Killerman's Run,91,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2013 Killerman's Run Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Kilikanoon,#471163
+24794,Australia,"Named for the special format of small oak barrel it's aged in, this has soaked up the oak impressively. Hints of vanilla and graham crackers accent mixed berry fruit, while the finish is long and mouthwatering. There's ample concentration, yet the wine never seems heavy. Drinkable now, but why rush things? Drink 2020–2030.",The Octavius Old Vine,93,120.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2012 The Octavius Old Vine Shiraz (Barossa),Shiraz,Yalumba,#471669
+25113,Australia,"This is the midlevel entry in Yalumba's Shiraz-Viognier range, slotting in above the Y Series but below the Hand Picked. It's a medium-bodied, slightly creamy-textured wine, with prominent green olive and peppercorn nuances to its plummy flavors. It fades a little on the finish, so drink now–2013.",,86,19.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Yalumba 2008 Shiraz-Viognier (Eden Valley),Shiraz-Viognier,Yalumba,#462F7C
+25212,Australia,"A blend of 69% Cabernet and 31% Shiraz, Yalumba's 2004 The Reserve is still firm and dusty on the finish, suggesting at least another 2–3 years of cellaring are warranted. Cassis, caramel, earth and vanilla notes are all nicely integrated into a cohesive whole, with the result being a dark, chocolaty wine that's savory as much as it is fruity.",The Reserve,92,125.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2004 The Reserve Cabernet Sauvignon-Shiraz (Barossa),Cabernet Sauvignon-Shiraz,Yalumba,#208F8C
+25225,Australia,"From its floral, lime-driven aromas to its citrus and baked-apple flavors, this is a textbook Riesling. It's plump and friendly, offering a mouthfilling texture and easy-drinking appeal at a bargain price. Drink now.",Magnus,88,12.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Leasingham 2006 Magnus Riesling (Clare Valley),Riesling,Leasingham,#443982
+25239,Australia,"A plump, medium-bodied Sauvignon Blanc with just a touch of residual sugar (3.5 g/l), this wine combines tropical notes of mango with honeyed citrus. It's basically dry, finishing with lingering fruit flavors. Drink now.",,87,21.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shottesbrooke 2007 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Shottesbrooke,#482172
+25240,Australia,"A pleasant surprise, this budget-priced Viognier shows plenty of plump fruit without getting overly big or blowsy. Citrus and pineapple flavors reflect the moderate alcohol levels, finishing on a juicy, succulent note. Drink now.",Reserve,87,15.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Tall Poppy 2006 Reserve Viognier (South Eastern Australia),Viognier,Tall Poppy,#45347F
+25321,Australia,"An unoaked Chardonnay, Marlargo's Gypsy Spirit shows plenty of fruit, ranging from melon to nectarine and pineapple. It even shows decent texture for an unoaked Chardonnay, something that's not always easy to accomplish. Drink now.",Gypsy Spirit,87,16.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Marlargo 2005 Gypsy Spirit Chardonnay (Yarra Valley),Chardonnay,Marlargo,#440154
+25351,Australia,"Duval used to make Grange, so it is no surprise that his current luxury Shiraz is so successful. The 2008 Eligo oozes with oaky sweetness—vanilla, maple syrup and brown sugar notes—but balances that with potent cassis fruit and somehow ends on dry, savory notes of tobacco and spice. Drink now-2018, although it could surprise and go longer.",Eligo,94,100.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,John Duval Wines 2008 Eligo Shiraz (Barossa),Shiraz,John Duval Wines,#471669
+25389,Australia,"This is a full-bodied, creamy-textured Shiraz that manages to retain a sense of poise at the same time. Cedar, vanilla and baking spices frame a lush mix of red and black berry fruit, yet this is no mere fruit bomb, adding hints of roast meat and mocha. Drink this plush, supple wine now–2025.",Oracle,94,70.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2010 Oracle Shiraz (Clare Valley),Shiraz,Kilikanoon,#471669
+25397,Australia,"Extraordinarily delicious is more like it. This is full bodied, supple and rich, with luscious aromas and flavors of mocha, cassis and vanilla that finish long, with some soft, dusty tannins. With all the plushness and primary fruit, it seems a little young right now; drink 2018–2030.",The Garden of Extraordinary Delights Single Vineyard,94,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Garden of Extraordinary Delights Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+25483,Australia,"From one of the region's leading producers and biodynamic rockstars, this wine stands out from the crowd. It offers apple tart, lemon rind and wild mint, with some floral soap notes. The acidity is present but not overpowering, balanced by some textural weight and an attractive citrus and spice finish.",Ephraim Clarke,89,35.0,Western Australia,Margaret River,,,,Cullen 2015 Ephraim Clarke Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Cullen,#3C4E8A
+25511,Australia,"The lightest of the 2012 single-vineyard Pinot Noirs from Giant Steps, this is an almost delicate wine with silky tannins. Notes of smoke, earth and mushroom mark the nose, while hints of pine boughs impart a slightly medicinal edge to the cherry fruit. Drink now.",Gladysdale Vineyard,86,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2012 Gladysdale Vineyard Pinot Noir (Yarra Valley),Pinot Noir,Giant Steps,#414286
+25614,Australia,"An excellent value, this is a fairly full-bodied, slightly creamy-textured Shiraz that should provide ample pleasure through 2020. Smoky, plummy fruit finishes warm and plush.",Black Clay,90,15.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,St Hallett 2013 Black Clay Shiraz (Barossa),Shiraz,St Hallett,#471669
+25646,Australia,"This is a lean, fresh Riesling with white stone fruit at its core. Grass and mineral—even waxy—flavors freshen up the palate, and floral and saffron notes waft from the nose. Lemon rind and viscous sour apple flavors linger on the finish. For this range of flavors to work in harmony, you surely must count elegance and subtlety among its virtues.",Watervale,90,19.0,South Australia,Clare Valley,,,,Mitchell 2001 Watervale Riesling (Clare Valley),Riesling,Mitchell,#443982
+25698,Australia,"At only 7% Merlot, it's unclear why it's even mentioned on the label, especially since it seems to be so obviously Cabernet in style. Cassis and chocolate notes dominate this richly textured, full-bodied red. Drink now.",,88,15.0,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Greg Norman Estates 2008 Cabernet Merlot (Limestone Coast),Cabernet Merlot,Greg Norman Estates,#365B8C
+25717,Australia,"A decent Chardonnay for the price, with pineapple fruit and hints of butter and cream. It's medium in body, with a slightly custardy mouthfeel and a short finish. Drink now.",DB Family Selection,84,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2010 DB Family Selection Chardonnay (South Eastern Australia),Chardonnay,De Bortoli,#440154
+25718,Australia,"Soft and creamy in style, with aromas and flavors of pineapple and ginger. Off dry on the finish.",Emeri Sparkling Sauvignon Blanc,84,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli NV Emeri Sparkling Sauvignon Blanc Sparkling (South Eastern Australia),Sparkling Blend,De Bortoli,#38578C
+25736,Australia,"This blend of Semillon, Traminer, Shiraz and Frontignac (a form of Muscat) features orange, berry and spice aromas and sweet flavors not unlike berry sherbet, with just a squeeze of citrus on the finish. Soft and frothy; drink now.",Bubbles Sparkling Rosé Wine,84,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail NV Bubbles Sparkling Rosé Wine Sparkling (South Eastern Australia),Sparkling Blend,Yellow Tail,#38578C
+25836,Australia,"The price is right for this lush, immediately attractive Shiraz from Victoria. Smoky, vanilla-scented oak frames black currant and tobacco flavors that finish soft and velvety. Lacks the depth to age past 2010, but very flattering now. Imported by Epic Wines.",Billi Billi,88,14.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Mount Langi Ghiran 2004 Billi Billi Shiraz (Victoria),Shiraz,Mount Langi Ghiran,#471669
+25840,Australia,"A warm, inviting wine, with scents of brown sugar, plum and baking spices. The tannins are creamy-soft, imparting a lush texture, balanced by just enough acidity to keep it from being thick or cloying. Finishes with plenty of fruit, plus a dash of chocolate.",,88,14.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,2 Up 2006 Shiraz (South Australia),Shiraz,2 Up,#471669
+26126,Australia,"This is an impressively endowed wine, but one that will have to rely on age for its complexity. Right now, its fruit (blackberries and cassis) is a bit simple upfront, then adds crisp acidity and firm tannins on the finish. Try in 2010.",D Block Reserve,90,50.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Shingleback 2005 D Block Reserve Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Shingleback,#471163
+26127,Australia,"This French-Australian collaboration has turned out a soft, easy-to-drink Merlot with notable complexity. Cassis and black cherry fruit is backed by shadings of cedar and vanilla and eased along by a creamy texture and supple tannins. Without any track record, it's probably prudent to drink this over the next few years.",Whalebone Vineyard,90,70.0,South Australia,Wrattonbully,,Joe Czerwinski,@JoeCz,TapaNappa 2004 Whalebone Vineyard Merlot (Wrattonbully),Merlot,TapaNappa,#24848D
+26143,Australia,"The blend includes just 14% Mourvèdre, with the balance split evenly between Shiraz and Grenache, and the result is a medium-bodied red with soft tannins and plenty of ripe fruit. Blackberry, plum and spice notes show good concentration and some chocolaty overtones. Drink now and over the next several years.",The Seven Surveys Old Vines,89,15.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2005 The Seven Surveys Old Vines G-S-M (Barossa),G-S-M,Peter Lehmann,#26818E
+26145,Australia,"An impressive effort from this winery located on the cool Mornington Peninsula near Melbourne, Stonier's 2006 Pinot Noir features some slightly herbal and properly earthy notes alongside its cherry fruit and a touch of bacony oak. It's medium-bodied, with silky tannins and a long, layered finish. Drink now–2012.",,89,25.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Stonier 2006 Pinot Noir (Mornington Peninsula),Pinot Noir,Stonier,#414286
+26183,Australia,"The 2003 Cliff Edge Shiraz shows plenty of intensity: bright cranberry-raspberry fruit, bold notes of cured meat and overtones of cedary oak. Tannins are supple, the structural underpinnings reliant on crisp acids instead. Use that tartness to offset some of the richness of stews or roasts.",Cliff Edge,89,18.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Mount Langi Ghiran 2003 Cliff Edge Shiraz (Victoria),Shiraz,Mount Langi Ghiran,#471669
+26195,Australia,"Tahbilk, one of Australia's historic wineries, has turned out a velvety-textured Shiraz named for one of the company's long-time winemakers. This is a medium-bodied, yet velvety-soft Shiraz that boasts plenty of intensity. If its blackberry, licorice and vanilla flavors develop more complexity over the next few years, the 89 rating may seem stingy.",Eric Stevens Purbrick,89,60.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2002 Eric Stevens Purbrick Shiraz (Nagambie Lakes),Shiraz,Tahbilk,#471669
+26517,Australia,"Musky, spicy notes of pineapple and clove set the stage, expanding on the palate alongside waves of cinnamon, vanilla and peach. It's relatively full in body, with a silky texture and a long, clean, refreshing finish. Drink now–2025.",Estate Vineyard,93,154.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Giaconda 2014 Estate Vineyard Chardonnay (Victoria),Chardonnay,Giaconda,#440154
+26526,Australia,"This is a ripe Clare Valley Riesling, but it balances its peachy overtones with powerful citrus zest and hints of crushed stone. There's a touch of roundness to the midpalate, then plenty of length on the finish.",St. Andrews Single Vineyard Release,93,40.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2015 St. Andrews Single Vineyard Release Riesling (Clare Valley),Riesling,Wakefield,#443982
+26539,Australia,"As always at Leeuwin Estate, the Art Series Chardonnay is a star. Now incorporating some natural ferments and slightly more solids, the 2013 features some more savory elements than in the past. A hint of pencil shavings highlights the pear and pineapple fruit, which offers plenty of flesh without being overbearing.",Art Series,93,89.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2013 Art Series Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+26692,Australia,"Howard Park's single-vineyard Cabernet and Shiraz bottlings offer consistently good value for the money. The 2005 Scotsdale Shiraz delivers layers of mixed berries, baking spices and hints of dried fruit and toasty oak. It's full-bodied, lush and creamy-textured in the mouth, with a long finish powered by fruit and shaped by dusty tannins. Drink now-2020.",Scotsdale,91,25.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Howard Park 2005 Scotsdale Shiraz (Great Southern),Shiraz,Howard Park,#471669
+26815,Australia,"Asphalt, licorice and espresso mark the nose of this medium-bodied, juicy Shiraz. The flavors are brighter, hinting at rhubarb, yet still retaining a dark, tarry edge. Drink this mouthwatering wine over the next few years.",,90,15.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Red Knot 2014 Shiraz (McLaren Vale),Shiraz,Red Knot,#471669
+27079,Australia,"A cooperative effort of six growers in the Hunter Valley, this is in the region's traditional savory, meaty-leathery style. Cola, earth and spice flavors are accented by hints of mint, while the mouthfeeel is full and slightly creamy. Pretty good, but could use more length on the finish. Imported by America Uncorked.",,85,20.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,The Six Masters 2004 Shiraz (Hunter Valley),Shiraz,The Six Masters,#471669
+27096,Australia,"This is a tough wine to evaluate. On the one hand, there's plenty of concentration and ripeness, reflected in the wine's high-toned raspberry fruit, ample weight and rich, creamy texture. On the other hand, the alcohol is a bit elevated (16%) and there's almost 1.5% residual sugar, so it's sweet on the finish.",Limited Release Calliope,84,40.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,R.L. Buller & Son 2004 Limited Release Calliope Shiraz (Rutherglen),Shiraz,R.L. Buller & Son,#471669
+27126,Australia,"Cedar and vanilla notes mark the nose of this wine, which boasts ample weight, modest fruit and a soft, open-knit texture. It's appealing for its oaky charm.",,87,20.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2013 Pinot Noir (Adelaide Hills),Pinot Noir,Sidewood,#414286
+27130,Australia,"Pie cherry and rhubarb notes make a bright impression on the nose, followed by tart flavors bundled in a mocha-tinged wrapper. The texture is almost syrupy on the midpalate, but turns dry and dusty on the finish. This is a bit disjointed at this stage, so perhaps it will improve with cellaring. Try after 2018.",Bicheno Single Site,87,65.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Dalrymple 2012 Bicheno Single Site Pinot Noir (Tasmania),Pinot Noir,Dalrymple,#414286
+27189,Australia,"A terrific value if you like the style, this is an impressively concentrated, slightly syrupy Shiraz imbued with potent cassis fruit and framed with vanilla oak. Surprisingly long on the finish. Drink now.",,90,12.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Razor's Edge 2008 Shiraz (McLaren Vale),Shiraz,Razor's Edge,#471669
+27376,Australia,"Fresh gooseberry, lemon and apple skin dominate the nose here, carrying over to the medium-weight palate. Although the acid seems a bit apart from the rest of the wine, this Barossa Riesling is pleasantly crisp, with nice spice and candied apple notes. Drink now to 2012.",,85,18.0,South Australia,Barossa,,,,Schild Estate 2009 Riesling (Barossa),Riesling,Schild Estate,#443982
+27377,Australia,"A sweet attack of ripe fruit is the opener for a crisp palate of raspberry jam, set in a bed of soft tannins. Juicy and extracted, this is one to catch young.",,85,12.0,Australia Other,South Eastern Australia,,,,Angus The Bull 2008 Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Angus The Bull,#471163
+27418,Australia,"Savory, meaty notes marry nicely with plummy fruit and clove spice in this wonderfully supple example of Yarra Valley Shiraz. With extended aeration, this wine develops lots of smoky, ashy notes—a possible side effect of nearby bush fires—so I'd opt for drinking it over the next couple of years.",Underhill,91,95.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2009 Underhill Shiraz (Yarra Valley),Shiraz,Yarra Yering,#471669
+27428,Australia,"Darker, sterner and less accessible than Plantagenet's Omrah bottling, the winery's flagship Shiraz offers substantial dark fruit flavors reminiscent of espresso, plum and cracked pepper. The tannins are firm, suggesting at least 2–3 years of cellaring. (The 2007 is drinking well now.)",,91,29.0,Western Australia,Mount Barker,,Joe Czerwinski,@JoeCz,Plantagenet 2009 Shiraz (Mount Barker),Shiraz,Plantagenet,#471669
+27429,Australia,"This is a bit rounder and richer than many Australian Rieslings, with pronounced weight and rich texture on the palate. Instead of lime, it delivers orange blossom and orange sherbet notes that linger elegantly on the finish. Drink now–2020.",,91,17.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Robert Oatley 2012 Riesling (Great Southern),Riesling,Robert Oatley,#443982
+27586,Australia,"The offbeat, savory nose is certainly complex, and the flavors follow in a similar vein, showing hints of onion and soft-ripened cheese. It's light in body, with a touch of residual sugar and a short finish.",Langhorne Crossing LX Verdelho-Sauvignon Blanc-Chardonnay,81,12.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Bleasdale 2015 Langhorne Crossing LX Verdelho-Sauvignon Blanc-Chardonnay White (Langhorne Creek),White Blend,Bleasdale,#32638D
+27587,Australia,"Smoky and confected, with candied apple and sugared peach notes that come across as cloying.",,81,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Milton Park 2015 Chardonnay (South Australia),Chardonnay,Milton Park,#440154
+27620,Australia,"A round, ripe pear and lemon nose opens this medium-weight, full flavored white. Grapefruit, spice and green apple coat the palate, the texture is fairly rich—maybe even fat for Riesling—but there's good acidity to support the fruit. Finishes long with white peach and mineral notes.",Reserve,88,18.0,South Australia,Eden Valley,,,,Penfolds 2000 Reserve Riesling (Eden Valley),Riesling,Penfolds,#443982
+27646,Australia,"Richly tropical in nature, with ripe flavors suggesting peaches and mangoes framed by lingering hints of butter and toast. It's a plump, amply endowed version of this wine, but may not be as long lived as some other vintages. Drink now–2010.",Art Series,90,79.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2004 Art Series Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+27683,Australia,"Coldstream Hills is better known for its Chardonnays and Pinot Noirs than its Sauvignon Blanc, but this is a solid effort. It's medium in body, with simple grapefruit and pineapple flavors and a crisp, clean finish.",,85,35.43766346992153,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Coldstream Hills 2009 Sauvignon Blanc (Yarra Valley),Sauvignon Blanc,Coldstream Hills,#482172
+27685,Australia,"Another faintly copper-hued Pinot Grigio from the Oatley family, this one offers modest apple, melon and citrus notes, medium body and a slightly tannic edge to the tart, lemony finish. Drink now.",Tic Tok,85,14.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,James Oatley 2010 Tic Tok Pinot Grigio (Adelaide Hills),Pinot Grigio,James Oatley,#423D84
+27934,Australia,"An easy-to-drink, burger and pizza sort of Shiraz, with slightly uneven notes of ripe and raisined fruit and soft acids and tannins.",Strong Arms,85,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,R Wines 2008 Strong Arms Shiraz (South Australia),Shiraz,R Wines,#471669
+27950,Australia,"A sweetly ripe amalgam of cassis, vanilla and cedar, this medium-bodied Cabernet is pleasant enough, if a little lacking in distinctiveness. It turns faintly dusty on the finish, making it suited to pair with burgers or steak.",Reserve,85,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail 2009 Reserve Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Yellow Tail,#471163
+28058,Australia,"This is surprisingly plump and accessible, featuring scents of lime rind upfront, then flavors of apple, nectarine and citrus. A medium-bodied wine with a long, mouthwatering finish, it's a tasty near-term drinker but should develop well for up to 10 years.",Julius,90,37.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2012 Julius Riesling (Eden Valley),Riesling,Henschke,#443982
+28070,Australia,"This nicely balanced, medium-bodied white offers a tasty array of peach, pear and melon aromas and flavors. It's pure and fruity, finishing clean and crisp, a satisfying addition to the range of apéritif wines.",,88,20.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Innocent Bystander 2006 Pinot Gris (Victoria),Pinot Gris,Innocent Bystander,#23888D
+28073,Australia,"Brisk and grapefruity, with perhaps some touches of ruby red or cherry as well. Despite the crispness, this is relatively easy to drink, because it also has a plump midpalate and friendly nature. A versatile seafood white.",,88,35.43766346992153,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Mad Fish 2006 Riesling (Western Australia),Riesling,Mad Fish,#443982
+28086,Australia,"From Tasmania, this is a fine example of that island's aromatic whites. Crisp acidity imparts a tense, mineral-like quality to the melon and fennel aromas, and while there's enough flesh in the mouth to satisfy, there's also mouthwatering focus and purity. Drink now–2010.",,88,25.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Tamar Ridge 2006 Pinot Gris (Tasmania),Pinot Gris,Tamar Ridge,#23888D
+28110,Australia,"With its knockout nose of blackberries and baking spices, this is an instant stunner. It follows that overture with complex flavors in a similar theme. It's full bodied and mouthcoating in intensity. The only question mark is whether the firm tannins will help it mature gracefully or leave it with a persistent drying quality on the finish. Imported by Wine Brokers Unlimited.",Clarendon,91,65.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2005 Clarendon Grenache (Clarendon),Grenache,Clarendon Hills,#481C6E
+28120,Australia,"Ripe black cherry and cedary aromas can't hide the touch of alcohol that seems to emanate from the glass. But the wine is balanced on the palate, not showing any excessive warmth, framing its black cherry and chocolate flavors with bright acidity. The crisp acids on the finish accentuate the tannins, making this an uncommonly structured Grenache. Imported by Wine Brokers Unlimited.",Hickinbotham,90,65.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2005 Hickinbotham Grenache (Clarendon),Grenache,Clarendon Hills,#481C6E
+28126,Australia,"A full-bodied, mouthfilling wine, Giaconda's 2005 Aeolia Roussanne showcases aromas of toasted cashews, then balances them against bold peach and citrus fruit. The oak lends a slightly charred quality to the wine, which comes through on the finish as a hint of espresso. Drink now and over the next few years.",Aeolia,90,100.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Giaconda 2005 Aeolia Roussanne (Victoria),Roussanne,Giaconda,#40BD72
+28127,Australia,"This 60-40 blend provides excellent value at this price. It's full-bodied but silky-soft in texture, with aromas and flavors that range from plum to earth and cola to dried spices. The tannins melt away on the palate, leaving behind a long, mouthwatering finish. Drink now.",Twelve Staves,90,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Longwood 2006 Twelve Staves Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,Longwood,#2D6E8E
+28131,Australia,"This wine nicely captures Pinot Noir's elusive silky texture and weight without heaviness, then combines those attributes with complex earthy flavors and touches of sassafras and cola. Finishes long, with hints of maraschino cherries and caramel. Drink now–2014.",Reserve,90,40.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Stonier 2005 Reserve Pinot Noir (Mornington Peninsula),Pinot Noir,Stonier,#414286
+28138,Australia,"This blend of 70% Grenache, 25% Shiraz and 5% Mourvèdre features surprisingly dark fruit flavors akin to blackberries and cola. A hint of mint or eucalyptus enlivens the bouquet and helps to lighten this otherwise rather full-bodied, brooding wine. Finishes long, with enough dusty tannins to warrant cellaring through 2015.",The Ironstone Pressings,90,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2005 The Ironstone Pressings G-S-M (McLaren Vale),G-S-M,D'Arenberg,#26818E
+28185,Australia,"Smoky and meaty, this is aggressively savory in style, but really evolves with air to show a gentler, raspberry-fruited side accented by dried spices. It's medium- to full- bodied, with a slightly creamy texture and silky, mouthwatering finish. Terrific cool-climate Shiraz.",Tribal Elder,92,70.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Strathewen Hills 2004 Tribal Elder Shiraz (Yarra Valley),Shiraz,Strathewen Hills,#471669
+28317,Australia,"Next time you drop a six-stroke lead on the last day of the country club tournament, head for the dining room and order a bottle of this mainstream Shiraz. It goes down easy, thanks to its roundness and supple tannins, yet still offers enough complexity and tannin to stand up to simply grilled steaks.",,87,15.0,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Greg Norman Estates 2005 Shiraz (Limestone Coast),Shiraz,Greg Norman Estates,#471669
+28324,Australia,"Dense and blackberryish on the nose, this medium- to full-bodied Shiraz offers plenty of fruit in soft, easy-to-drink package. Hints of dried spices give it more interest than your average $12 Shiraz.",,87,12.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Hope Estate 2006 Shiraz (Hunter Valley),Shiraz,Hope Estate,#471669
+28326,Australia,"Comes out of the chute showing a funky, rubbery edge, but that blows off with a little time to reveal dark, somewhat earthy notes of cola and blackberry. It's medium-bodied, with good length to the finish, where it picks up enough dusty tannins to give it backbone.",Cabernet Shiraz Merlot,87,9.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Ironberry 2005 Cabernet Shiraz Merlot Red (Western Australia),Red Blend,Ironberry,#3F4788
+28347,Australia,"Tannic and extracted, with gritty tannins and dark, almost dried fruit. This is powerful stuff, framed by hints of brown sugar and baking spices. Try pairing it against char-grilled steak or lamb.",,89,25.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Balgownie Estate 2013 Shiraz (Bendigo),Shiraz,Balgownie Estate,#471669
+28355,Australia,"An impressive value, this is a rather full and weighty Pinot that stays supple through the finish. Dusty earth and cherry notes marry nicely on the nose, followed by flavors reminiscent of cola, cherry and raspberry. Drink now–2019.",,89,14.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Shoofly 2015 Pinot Noir (Victoria),Pinot Noir,Shoofly,#414286
+28446,Australia,"Deep golden straw in color, with modest aromas of struck flint and pear. The flavors are reminiscent of buttery, honeyed pears, yet stay tart from start to finish. Perplexing.",The Money Spider,83,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2009 The Money Spider Roussanne (McLaren Vale),Roussanne,D'Arenberg,#40BD72
+28557,Australia,"This innovative blend of 60% Sémillon and 40% Marsanne doesn't show the hoped-for synergies. Hints of tar and rubber refuse to blow off completely, and the modest green apple and citrus flavors come across as lean and emaciated on the palate.",The Turk Semillon + Marsanne,81,14.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2005 The Turk Semillon + Marsanne White (Barossa Valley),White Blend,Turkey Flat,#32638D
+28573,Australia,"Astralis has become one of Australia's top collectibles, and Roman Bratasiuk's 2005 version is once again top-shelf stuff. It's full-bodied and rich without being over the top, balancing dark-chocolate-covered blackberries and blueberries with more complex savory notes (spice, grilled meat). While it's a big, hulking wine at first, the finish shows great elegance and finesse, ending with silky tannins. Best from 2014. Imported by Wine Brokers Unlimited.",Astralis,95,350.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2005 Astralis Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+29224,Australia,"One of the closest things there is to a can't-miss wine, Leeuwin's Chardonnay is always on form. The 2011 Art Series is flamboyantly oaked, with smoky, toasty, nutty notes layered over hints of white peach and grilled pineapple. It's less rich than some vintages have been, but still appealingly mealy in texture. Drink now–2020.",Art Series,92,89.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2011 Art Series Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+29225,Australia,"This is remarkably lush and full-bodied, yet remains lively and mouthwatering. Toasted nuts frame ample flavors of grilled pineapple and melon. Drink now–2017. The success of this wine should be a good indicator that, when released, the 2012 Art Series will be something spectacular.",Prelude Vineyards,92,36.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2012 Prelude Vineyards Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+29274,Australia,"Despite its relatively low alcohol level, this comes across as reasonably mouthfilling and rich. Smoky notes from barrel fermentation emerge with air, accenting white nectarine and citrus fruit. It's one of the few blends of this type to show the textural interest of a good white Graves.",Cullen Vineyard,90,35.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2011 Cullen Vineyard Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Cullen,#3C4E8A
+29365,Australia,"This tasty, medium-bodied blend is about half Sauvignon Blanc, with the balance split almost evenly between Chardonnay and Semillon. Struck flint marks the nose, while the flavors suggest hints of asparagus and fig. Drink now.",Sauvignon Blanc-Chardonnay-Semillon,87,35.43766346992153,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Frank 2015 Sauvignon Blanc-Chardonnay-Semillon White (Limestone Coast),White Blend,Frank,#32638D
+29545,Australia,"Very floral, citrusy and perfumed upfront, retaining that lemony edge to help the retained carbon dioxide balance the inherent sweetness. Clean and refreshing on the finish.",,84,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2010 Moscato (South Eastern Australia),Moscato,Jacob's Creek,#2F6A8D
+29571,Australia,"Offers cracker and wheat aromas, and light white stone-fruit flavors that seem coated in confectioner's sugar, or talc. Perhaps it's the “unwooded” designation talking, but this wine seems a little light, and not much like Chardonnay.",Promised Land - Unwooded,82,10.0,South Australia,South Australia,,,,Wakefield 2002 Promised Land - Unwooded Chardonnay (South Australia),Chardonnay,Wakefield,#440154
+29576,Australia,"Fruit on the palate is yellow but flat; you'll find more yellow fruit on the nose, where it shows a little more life. Finishes with some chalk and herb.",Lightly Wooded,82,18.0,South Australia,Southern Fleurieu,,,,Mt. Jagged 2001 Lightly Wooded Chardonnay (Southern Fleurieu),Chardonnay,Mt. Jagged,#440154
+29578,Australia,"The mixed plum fruit is unremarkable but fine. In terms of texture, there's not much, until some powdery-woody tannins pop up on the back end.",Kanga's Leap,82,8.0,Australia Other,South Eastern Australia,,,,Riverina Estates 2002 Kanga's Leap Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Riverina Estates,#471163
+29635,Australia,"This full-throttle blend of Grenache, Shiraz and Mourvèdre comes across as almost Zinfandel-like, with bold, briary fruit and hints of damp earth. Shows a bit of warmth on the finish, but also a flourish of bright berry fruit. Drink now and over the next several years.",The Cadenzia,88,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2005 The Cadenzia G-S-M (McLaren Vale),G-S-M,D'Arenberg,#26818E
+29778,Australia,"Endowed with plenty of fruit, this wine swirls together notes of raspberry and vanilla, then tops off that delicious blend with hints of mint and other herbs. The lovely creamy texture turns silky and fresh on the finish. Drink now–2020.",Stonehorse Estate Grown,92,37.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Kaesler 2010 Stonehorse Estate Grown Shiraz (South Eastern Australia),Shiraz,Kaesler,#471669
+29786,Australia,"Bin 389 is always a Cab-Shiraz, although the 2009 is only just, at 51% Cabernet and 49% Shiraz. This year's version is chocolaty and ripe, with plenty of weight and a slightly creamy feel. Cassis and vanilla notes fill out the palate, which finishes long, with an elegant texture akin to fine suede. Drink now–2025.",Bin 389,92,50.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2009 Bin 389 Cabernet Sauvignon-Shiraz (South Australia),Cabernet Sauvignon-Shiraz,Penfolds,#208F8C
+29797,Australia,"Classic Cabernet, from its mint and cassis aromas to its ample weight and long, plush finish. This is full and velvety, with hints of cedar and vanilla blending easily into the whole. Approachable now, it should age well through at least 2025.",Dead Ringer,92,60.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2010 Dead Ringer Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Wirra Wirra,#471163
+29864,Australia,"This medium-bodied Shiraz is supple, immediately drinkable and complex—what more could one want for under $15? Find plummy fruit, meaty elements, cracked pepper and hints of mocha and a long, savory finish here.",Hazard Hill,89,13.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 2010 Hazard Hill Shiraz (Western Australia),Shiraz,Plantagenet,#471669
+29867,Australia,"Marked by potent aromas of green apple and lime sherbet, this is an intense, flavorful Riesling that just lacks that little bit of finesse. It's dry and medium-bodied, with a slightly oily, slightly coarse texture. Drink it young.",Killerman's Run,89,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2012 Killerman's Run Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+29880,Australia,"Skuttlebutt is a second tier in Stella Bella's range that can represent excellent value. This blend shows some of Cabernet's pungent leafiness, but also plenty of Shiraz's fruity volume to balance things out. At four years of age, the tannins are nicely supple and silky, with the wine's various components in elegant harmony. It's ready to drink now.",,89,16.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Skuttlebutt 2009 Shiraz-Cabernet Sauvignon (Margaret River),Shiraz-Cabernet Sauvignon,Skuttlebutt,#460B5E
+29881,Australia,"This medium-bodied Shiraz is almost Saint Joseph-like in its charming cherry and cracked pepper flavors. It's not overly rich or complex, just an easy-drinking wine that should offer plenty of appeal over the next few years.",Siblings,89,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2009 Siblings Shiraz (Margaret River),Shiraz,Leeuwin Estate,#471669
+30168,Australia,"This wine is dark and inky in color. Nearly impenetrable at first on the nose, this reluctantly giving up hints of plum, cocoa and earth. The plum-pudding palate is dense and weighty, with savory overtones. Give it until 2018 or 2020 to unclench and brighten up.",Wrecked,92,73.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Nashwauk 2010 Wrecked Shiraz (McLaren Vale),Shiraz,Nashwauk,#471669
+30250,Australia,"This boasts some rather prominent herbal (dill, perhaps?) notes, but this is an otherwise creamy-textured, soft Cabernet meant for immediate consumption. Vanilla and black cherry notes start upfront and persist through the slightly warm finish.",Truffle Chocolate,86,17.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Chocolate Box 2008 Truffle Chocolate Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Chocolate Box,#471163
+30412,Australia,"Pretty grippy stuff, with astringent tannins accentuated by tart acids. Mint, cassis and cigar box elements pick up mocha notes on the finish.",The Fruit Bat Single Vineyard,87,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 The Fruit Bat Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+30442,Australia,"This wine has a creamy texture on the palate, but the flavors don't match that level of ripeness. Pink grapefruit, nettles and cut grass are more Sauvignon Blanc-like than Viognier. There's even a hint of garden pea on the warm finish.",,87,60.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yeringberg 2014 Viognier (Yarra Valley),Viognier,Yeringberg,#45347F
+30526,Australia,"No doubt the screw cap closure has contributed to this wine's longevity. Even more than 18 months after bottling, it still comes across as crisp and refreshing. Notes of tangerine, melon rind and strawberry offer plenty of appeal. Still, I wouldn't wait any longer.",The Y Series Sangiovese,88,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2013 The Y Series Sangiovese Rosé (South Australia),Rosé,Yalumba,#450558
+30861,Australia,"The bouquet starts off snappy and clean, but with time some pungent sea foam and green-bean aromas arise. Basic pear, melon and green herbs make up the flavor profile, while the short finish, though offering ample pepper and mineral, is lacking in fruit.",,87,22.0,Western Australia,Margaret River,,,,Hamelin Bay 2001 Sauvignon Blanc (Margaret River),Sauvignon Blanc,Hamelin Bay,#482172
+30864,Australia,"Grapefruit and mint make for an interesting and attractive couple on the nose, while tart citrus and a bit of grass make up the flavor profile. It hails from Western Australia, and overall it gets the job done. On the down side, however, is a slight vinegar note.",,87,17.0,Western Australia,Frankland River,,,,Alkoomi 2001 Sauvignon Blanc (Frankland River),Sauvignon Blanc,Alkoomi,#482172
+30904,Australia,"Ample vanilla notes from oak aging mark the nose and palate of this savory Shiraz. It's on the full side for the Hunter, with a rich texture and a long, velvety finish. Drink 2015–2025.",,91,36.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2010 Shiraz (Hunter Valley),Shiraz,Brokenwood,#471669
+30905,Australia,"The Clare Valley is an underappreciated source of fine Cabernet Sauvignon, and this is one of the region's standard bearers. Minty notes add a dose of Australia to this slightly austere wine, which also boasts dark chocolate, cassis and tobacco. Drink 2015–2025.",St. Andrews Single Vineyard Release,91,50.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2009 St. Andrews Single Vineyard Release Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+30961,Australia,"Despite some almost citrusy and asparagus-like aromas, this well-built Cabernet compensates by offering a creamy, supple texture and moderately rich coffee flavors. Finishes a bit astringent and hard, but should soften in a year or two.",,87,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2005 Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+30967,Australia,"Consulting winemaker Ben Glaetzer has fashioned a reasonably full-bodied Cab for the Mitolo family, one that combines some superripe, verging on raisined, elements with hints of tobacco and herbs. Mint, cassis and chocolate round out the palate, finishing softly tannic. Drink now–2010.",Jester,87,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2006 Jester Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Mitolo,#471163
+30972,Australia,"An intriguing wine, this boasts herbal-, tobacco- and truffle-laced aromatics backed by a modicum of cassis fruit and a wonderfully soft, creamy, supple texture. The flavors also veer dangerously close to vegetal, so if you insist on no green notes in your Cab, search somewhere else.",,87,25.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Jenke 2005 Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Jenke,#471163
+30977,Australia,"Schild Estate is turning out an array of fairly priced, consumer-friendly wines from its extensive Barossa acreage. This is a typical example, showing good varietal character in its flavors of cassis, tobacco and chocolate, softly dusty tannins and a silky finish. Drink now.",,87,24.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Schild Estate 2003 Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Schild Estate,#471163
+30978,Australia,"Perhaps this wine just needs some additional cellaring, as the finish is long enough to suggest promise, but this particular bottle was in a cranky stage, showing lots of toasted oak and coffee-like aromas and tart acidity. The tannins seem ripe, so it's worth trying again in a year or two.",,87,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Aramis 2005 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Aramis,#471163
+30982,Australia,"Scents of leather, cola and brown sugar give way to cleaner, fruitier notes of blackberry on the palate, marked by ample vanilla oak. A blend of 78% Cab Sauvignon, 19% Merlot and 3% Cab Franc, it's medium-bodied and fresh, with a slightly minty finish framed by soft tannins.",Red Wine,87,25.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Devil's Lair 2004 Red Wine Red (Margaret River),Bordeaux-style Red Blend,Devil's Lair,#1F938B
+30985,Australia,"Boasts tremendously ripe fruit—the stated alcohol level is 15.5%—yet doesn't seem overly hot or bulky. As you might expect, the tannins are soft, while the flavors of cassis pick up hints of cola, earth and tobacco. Despite the ripeness, there's a streak of tangy acidity that holds everything together. Drink now.",Allyson Parsons,87,17.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Craneford 2006 Allyson Parsons Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Craneford,#471163
+31270,Australia,"At 50% Cabernet Sauvignon, this is a firm, cassis-scented wine, but one that includes hints of ripeness and generous fruit. Dried herbs and brown sugar add nuance, while the velvety finish picks up some meaty, savory notes. Drink now–2025.",Church Block,91,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2013 Church Block Cabernet Sauvignon-Merlot-Shiraz (McLaren Vale),Cabernet Sauvignon-Merlot-Shiraz,Wirra Wirra,#47C06E
+31307,Australia,"This amply endowed, creamy-textured Cab may not make old bones, but it offers a delicious mouthful of rich cassis fruit, accented by hints of mint, tobacco and dark chocolate. It's silky enough to drink now, with a long, slightly warm finish.",,90,30.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kaesler 2006 Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Kaesler,#471163
+31321,Australia,"Despite its modest alcohol level, this doesn't come across as lean or undernourished. Instead, it delivers a fair bit of weight (is there some residual sugar?), green fruit flavors of apples, figs and limes, and a lime-zest finish. Drink now.",,87,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2016 Sauvignon Blanc (South Australia),Sauvignon Blanc,Oxford Landing,#482172
+31338,Australia,"This is a relatively simple, fruity quaff, filled to the brim with pears, apples and melons. It's medium-bodied, with a bit of apple- or pear-skin texture that gives it additional interest. Drink now.",Palamino,86,17.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Stable Hill 2016 Palamino Pinot Grigio (Adelaide Hills),Pinot Grigio,Stable Hill,#423D84
+31343,Australia,"This is muscular and sturdy for a Pinot Noir, with savory notes of mushrooms, beets and earth that add to that impression. While it lacks precision and elegance, it does offer a chunky mouthful of Pinot with ample length and intensity to the finish.",The Feral Fox,86,32.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2013 The Feral Fox Pinot Noir (Adelaide Hills),Pinot Noir,D'Arenberg,#414286
+31363,Australia,"An inky wine, yet remarkably well balanced and supple, marrying a lush, creamy texture with masses of blueberries and hints of mint and licorice. Drink now or hold up to 10 years.",The Howling Dog,92,42.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Massena 2006 The Howling Dog Petite Sirah (Barossa Valley),Petite Sirah,Massena,#26AC81
+31587,Australia,"At only 6%, the Mataro is mostly window-dressing, but this blend of Grenache (52%) and Shiraz (42%) is still a tasty mouthful. Toast and cedar notes frame black cherry and plum fruit in this full-bodied, lushly textured wine. Drink now–2018.",Native Goose,90,24.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Cape Barren 2013 Native Goose Red (McLaren Vale),Red Blend,Cape Barren,#3F4788
+31594,Australia,"This is a big, bold version of a classic Australian blend. Yes, it's a bit of a throwback in its size and plushness, but there's no denying its appealing cherry and raspberry fruit, hint of charred oak and slightly creamy texture. Drink now–2018.",,90,17.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Insurrection 2013 Shiraz-Cabernet Sauvignon (South Eastern Australia),Shiraz-Cabernet Sauvignon,Insurrection,#460B5E
+31602,Australia,"The 2013 entry-level Shirazes from Barossa provide a great opportunity for wine consumers to rediscover Australia. This one is solidly structured and savory, boasting hints of black olive, dark chocolate and espresso. The finish is completely dry and firm, suggesting it'd be a fine accompaniment to beef or lamb. Drink now–2025.",,90,16.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Earthworks 2013 Shiraz (Barossa Valley),Shiraz,Earthworks,#471669
+31785,Australia,"This pale copper rosé blends 71% Shiraz with 16% Cabernet Sauvignon and 13% Sangiovese. Melon, stone fruit and citrus notes feature on the broad palate that comes into crisp focus on the long, mouthwatering finish. Drink now.",,89,22.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Fairbank Sutton Grange 2016 Rosé (Bendigo),Rosé,Fairbank Sutton Grange,#450558
+31816,Australia,"Give this wine a few minutes to open up, and once it does it's a lovely example of cool climate Chardonnay. Subtle notes of ripe lemon, stone fruit, butter, and smoke lead into a slippery textured, medium-weighted palate. More lemon and stone fruit mark the flavors, and toast and smoke show on the finish.",,90,25.0,South Australia,Adelaide Hills,,,,Bird in Hand 2015 Chardonnay (Adelaide Hills),Chardonnay,Bird in Hand,#440154
+31908,Australia,"This oak-free Chardonnay combines pear and tropical fruit flavors in a somewhat simple but pleasant package. Shows some oiliness to its texture and a touch of warmth on the finish, but it's a good effort overall.",Promised Land Unwooded,85,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wakefield 2006 Promised Land Unwooded Chardonnay (South Australia),Chardonnay,Wakefield,#440154
+32010,Australia,"This compelling wine delivers a tidal wave of chocolate, dark berries, earth and black olive aromas and flavors. It's huge in the mouth yet amazingly supple in texture, leaving no sense of excessive weight or alcohol. Hints of toast, menthol and coffee linger on the surprisingly elegant finish. Drink now-2025.",R,94,105.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2006 R Shiraz (Barossa Valley),Shiraz,Kilikanoon,#471669
+32019,Australia,"From vines planted more than a century ago, this richly concentrated, voluptuous wine blossoms with time in the glass, revealing aromas of brandied black cherries and dark chocolate. The tannins are creamy smooth, the length on the palate prodigious. But at 15.5% alcohol, this wine's warmth is noticeable; opt for drinking it over the next 10 years.",Old Bastard,94,190.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kaesler 2006 Old Bastard Shiraz (Barossa Valley),Shiraz,Kaesler,#471669
+32263,Australia,"Despite its moderate alcohol level, this comes across as medium to full in body, with a velvet and custard texture that coats the palate with flavors of grilled pineapple, citrus and melon. It's made in a concentrated, opulent style, yet it finishes clean, with lingering notes of citrus. Drink now through 2020.",Robinson,93,55.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Moorooduc 2013 Robinson Chardonnay (Mornington Peninsula),Chardonnay,Moorooduc,#440154
+32297,Australia,"A good value, this starts off a little shaky thanks to some barnyard scents on the nose, then rights itself. Herbal-tobacco notes accent plum-prune flavors in this medium-bodied wine with a creamy-smooth texture. Soft and easygoing, it's ideal to drink now.",Omrah,88,15.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 2004 Omrah Cabernet Sauvignon (Western Australia),Cabernet Sauvignon,Plantagenet,#471163
+32298,Australia,"Are golfer-inspired wines the next big thing? First came Greg Norman, then Ernie Els, now there's Nick Faldo. Made by Katnook Estate, this is a dark, plushly textured wine that's immediately accessible. Cassis and plum fruit is framed by dark accents of coffee and cola, picking up hints of mint on the finish. Imported by Freixenet USA.",,88,15.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Nick Faldo 2005 Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Nick Faldo,#471163
+32301,Australia,"Chapel Hill's recent Cabernets have been impressive, and the 2006 continues that streak, offering complex aromas of green coffee beans, dried herbs and cassis, then easing into flavors of dark chocolate and black olive. Shows good density and richness, ending on notes of cofee and chocolate. Drink now–2013.",,88,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Chapel Hill 2006 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Chapel Hill,#471163
+32305,Australia,"This Cabernet fits the steakhouse red formula to a T. Ripe, lusty fruit—blackberry in this case—is matched by a big whack of vanillin oak. It's not the most complex wine, but offers plenty of full-bodied, softly tannic flavor. Drink now–2012.",Book Ends,88,21.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2005 Book Ends Cabernet Sauvignon (Western Australia),Cabernet Sauvignon,West Cape Howe,#471163
+32312,Australia,"A Langhorne Creek blend put together by importer George Galey, this Cabernet shows a deft touch, combining cassis fruit with a lifted, almost raspberry-like component. Varietal notes of tobacco and mint add complexity, accented by touches of vanilla and chocolate. It's all presented on a framework of creamy, supple tannins. Drink now.",,88,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,9 Mile Road 2005 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,9 Mile Road,#471163
+32314,Australia,"A very good showing for this wine, which should be on all value-conscious shoppers' lists. Mint accents black cherry and cassis fruit enriched by some chocolaty notes. Tannins are plentiful but ripe, giving it the necessary heft to stand up to grilled steak.",Reserve,88,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2004 Reserve Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Jacob's Creek,#471163
+32344,Australia,"This is the first vintage for this wine, a 50-50 blend of Cabernet and Shiraz matured in French and American oak hogsheads for a year. Vanilla notes frame mixed-berry flavors, then pick up savory hints of beef and espresso on the softly dusty finish. Drink now through 2020.",Illicium,89,35.43766346992153,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Heartland 2014 Illicium Shiraz-Cabernet Sauvignon (Langhorne Creek),Shiraz-Cabernet Sauvignon,Heartland,#460B5E
+32345,Australia,"The not-so-secret blend is 64% Cabernet Sauvignon, 24% Shiraz and 12% Malbec, yielding a dark plummy wine with ample palate weight and softly dusty tannins. Espresso and black olive shadings give this a savory cast, making it more an accompaniment to food than a standalone sipper. Drink now through 2019.",Secrets,89,15.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Killibinbin 2013 Secrets Red (Langhorne Creek),Red Blend,Killibinbin,#3F4788
+32434,Australia,"Not as wild as the name suggests, this is a full-bodied, rather weighty wine, but one that stays within normal bounds. Black cherry fruit is tinged with mocha and baking spices, ending in a dusting of soft tannins. Drink now–2018. The blend is 42% Shiraz, 36% Grenache and 22% Mataro.",The Wild Ride,89,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Tait Wines 2013 The Wild Ride G-S-M (Barossa Valley),G-S-M,Tait Wines,#26818E
+32450,Australia,"This blend of 45% Shiraz, 30% Grenache and 25% Mourvèdre is full bodied and supple, not heavy or overextracted. Herb notes accent cherry fruit, while hints of mocha creep in on the finish. Enjoy this easy-drinking wine now–2017.",Butcher's Block,89,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2012 Butcher's Block G-S-M (Barossa Valley),G-S-M,Turkey Flat,#26818E
+32497,Australia,"Classic Aussie Shiraz from the vineyard that borders the backbone vineyard of Penfold's Grange. This one's made by ex-Grange winemaker Daryl Groom, who now lives in California's Sonoma County but owns his own Australia vineyard. Lush, deep, rich and ripe, the wine fans out to reveal complex layers of black cherry, plum, licorice, spice, chocolate, blackberry, tar, vanilla, coconut and herbs. Smooth and plush textured, with a finish that doesn't quit.",,94,40.0,South Australia,Barossa Valley,,,,Groom 2001 Shiraz (Barossa Valley),Shiraz,Groom,#471669
+32511,Australia,"Just about the best white wine out of Australia this year, this Roussanne isn't a fleshy wine, but it has beauty, power and structure in its corner. Full-bodied with powdery tannins, it has flavors of honeydew, peach fuzz and mineral, and an herbal-peppery finish that lingers on the tongue. Nose is a tantalizing mix of marzipan, jasmine and clover. Just excellent.",Aeolia,93,75.0,Victoria,Victoria,,,,Giaconda 2001 Aeolia Roussanne (Victoria),Roussanne,Giaconda,#40BD72
+32633,Australia,"This medium- to full-bodied white features a richly textured mouthfeel to go with its toasty aromas and melon fruit. There's a touch of creamed-corn character, and the finish could be longer, but it's still a plump, satisfying wine to pair with chicken or fish.",The Hermit Crab Viognier-Marsanne,87,15.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The Hermit Crab Viognier-Marsanne White (McLaren Vale),Rhône-style White Blend,D'Arenberg,#4FC369
+32862,Australia,"Full, round and soft, this is an immediately approachable and likeable Shiraz, with clean, slightly jammy blackberry fruit and hints of chocolate and mint. The combination of bold flavors and early accessibility should make this a steakhouse staple.",,89,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Tintara 2005 Shiraz (McLaren Vale),Shiraz,Tintara,#471669
+32868,Australia,"Complex aromas and flavors of blackberries, leather, roasted meat and coffee show plenty of class, and this wine appears to firm up in the glass, offering more structure than its initial suppleness and amplitude suggest. It may close up for a few years, so try it now, or hold and try it after 2012.",,89,31.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shaw and Smith 2005 Shiraz (Adelaide Hills),Shiraz,Shaw and Smith,#471669
+32909,Australia,"Pretty robust in style for Merlot, with the ripe black-cherry fruit framed by plenty of structure. There's a minty or resiny note to the aromas and flavors, which imparts a slightly medicinal edge to the prolonged finish. Drink now–2012, possibly beyond.",,89,30.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Strathewen Hills 2005 Merlot (Yarra Valley),Merlot,Strathewen Hills,#24848D
+32929,Australia,"This style of simply yummy, quaffable wine is what Australian Grenache is so capable of producing. Despite high alcohol (16.5%), it doesn't show heat on the palate, instead offering oodles of black cherries and some accents of baking spices. It's round, supple and easy to drink, with a touch of coffee on the finish. Imported by USA Wine West.",Old Vine,88,21.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Fire Block 2004 Old Vine Grenache (Clare Valley),Grenache,Fire Block,#481C6E
+32940,Australia,"This plump, medium-bodied Chardonnay boasts aromas and flavors of smoke and grilled pineapple. It may be a little on the simple side, but it's well done, combining ample varietal character with an appetizing bit of oak.",The Olive Grove,87,16.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,D'Arenberg 2007 The Olive Grove Chardonnay (Adelaide),Chardonnay,D'Arenberg,#440154
+32944,Australia,"Delivers rather standard Chardonnay aromas and flavors, ranging from hints of toast to ripe peaches and pineapple. It's nicely balanced, showing some lush texture on the midpalate yet retaining citrusy freshness on the finish. Well done, and well priced. Drink now.",Chook Raffle,87,14.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shoofly 2007 Chook Raffle Chardonnay (Adelaide Hills),Chardonnay,Shoofly,#440154
+32987,Australia,"From vines that were 79 years old when the fruit was harvested, this is made in a deliberately lean style to encourage cellaring. Notes of lemon, crushed stone and apple skin are taut and dry, with a dusty, tactile sensation on the finish. Drink now, or hold through at least 2020 to allow for more development.",1927 Vines,90,33.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2006 1927 Vines Marsanne (Nagambie Lakes),Marsanne,Tahbilk,#228B8D
+33116,Australia,"Slightly confectionary, with cinnamon and vanilla notes alongside cherries and caramel. Finishes with a touch of warmth.",Reserve,84,13.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Jacob's Creek 2009 Reserve Pinot Noir (Adelaide Hills),Pinot Noir,Jacob's Creek,#414286
+33229,Australia,"Melon and pear notes provide the flesh, while a citrusy element provides the backbone of this medium-bodied Chardonnay. It's round without being flabby, ending on a refreshing, citrusy note. Drink now.",Legacy,85,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Salena Estate 2011 Legacy Chardonnay (South Eastern Australia),Chardonnay,Salena Estate,#440154
+33310,Australia,"Shows plenty of red fruit character, starting with cherry but encompassing strawberry as well. It's plump and round in the mouth, but refreshingly modest in alcohol (13.1%), finishing clean. The winery says it's made from Fragola, which turns out to be an American variety known as Isabella. Imported by Margaret River Wines.",Sunset,85,18.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Beach Head 2007 Sunset Rosé (Margaret River),Rosé,Beach Head,#450558
+33605,Australia,"This wine represents an excellent value, and one that showcases the quality potential of Langhorne Creek. It's creamy in texture, voluptuous in feel and full in body, with a bold flavor of red currant that's framed by ample cedar and vanilla notes. Long and creamy on the finish. Drink now–2018.",George Wyndham Founder's Reserve,91,20.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Wyndham Estate 2008 George Wyndham Founder's Reserve Shiraz (Langhorne Creek),Shiraz,Wyndham Estate,#471669
+33625,Australia,"Full bodied and richly textured, this is a lush, velvety Shiraz that nevertheless seems to possess enough structure to age successfully. Cassis, molasses and vanilla all play roles in the aroma and flavor profiles, while a mocha note chimes in on the long finish. Drink now–2025.",,91,25.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Balgownie Estate 2008 Shiraz (Bendigo),Shiraz,Balgownie Estate,#471669
+33626,Australia,"The 2009 Diana Madeline is 88% Cabernet Sauvignon, with the balance a blend of Cabernet Franc, Merlot and Malbec. It boasts lovely aromas of cassis and tobacco leaf or dried herb, while on the palate it is restrained. For all of the aromatic boldness and purity, it's a bit austere, ending on a firm, crisp note. A 2002 tasted recently was just hitting its stride, so give it another 6–8 years.",Diana Madeline,91,95.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2009 Diana Madeline Red (Margaret River),Bordeaux-style Red Blend,Cullen,#1F938B
+33627,Australia,"Primarily Cabernet Sauvignon (the balance is Merlot, Petit Verdot and Cabernet Franc), this is full bodied, lush and richly textured. Cassis, blackberry, vanilla and tobacco leaf notes give this a convincingly Bordeaux-styled profile, although much riper and plusher. Drink now–2023.",The Galvo Garage,91,29.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,D'Arenberg 2009 The Galvo Garage Red (Adelaide),Bordeaux-style Red Blend,D'Arenberg,#1F938B
+33629,Australia,"All three of Plantagenet's Shirazes were successful in 2008. This, the flagship bottling, offers aromas of coffee grounds, cherry and cracked black pepper, adding vanilla, spice and charred beef flavors on the palate. It's harmonious, savory and complex. Drink now–2020 and possibly beyond.",,91,29.0,Western Australia,Mount Barker,,Joe Czerwinski,@JoeCz,Plantagenet 2008 Shiraz (Mount Barker),Shiraz,Plantagenet,#471669
+33673,Australia,"For the price, this is an impressively detailed and complex wine. Floral notes reminiscent of lavender or rosemary mark the nose and impart interest to the palate, which deftly marries herbs, baking spices and dark fruit. Crisp acids combine with soft tannins on the silky finish. Drink now–2022.",Promised Land,90,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wakefield 2015 Promised Land Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Wakefield,#471163
+33677,Australia,"This seems a bit oaky on the nose, where scents of baking spices and cedar dominate, but those elements are balanced out on the palate, where blackberries, plums and black currants comes to the fore. This is a full-bodied, ripe-textured wine worth a look. Drink now–2025.",Three Blocks,90,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Fox Creek 2014 Three Blocks Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Fox Creek,#471163
+33678,Australia,"Don't expect explosive fruit from this wine. It delivers a pungent, spicy mix of cola, roasted meat and black olives instead, cushioned by ample weight in the mouth and a broad, creamy texture. Drink now–2020.",,90,14.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,9 Mile Road 2013 Shiraz (Langhorne Creek),Shiraz,9 Mile Road,#471669
+33720,Australia,"Excessively volatile, with some briary, berry-like fruit that's overwhelmed by slightly pickle-y notes. It's medium in body, but thins out on the finish.",Reserve,81,40.0,Victoria,Pyrenees,,Joe Czerwinski,@JoeCz,Syan 2003 Reserve Cabernet Sauvignon-Shiraz (Pyrenees),Cabernet Sauvignon-Shiraz,Syan,#208F8C
+33723,Australia,"Muted on the nose, with flavors of apple and white gumdrops, and finishing with hints of butter and anise.",Peace Family Vineyard,81,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Andrew Peace 2006 Peace Family Vineyard Chardonnay (South Eastern Australia),Chardonnay,Andrew Peace,#440154
+34005,Australia,"Dark and smoky on the nose, with meat, cedar and blackberries combining into an attractive bouquet. This is a meaty, savory wine that should drink well from 2010–2020, backed by tart blackberries and showing some dusty tannins on the finish.",Chockstone,91,22.0,Victoria,Grampians,,Joe Czerwinski,@JoeCz,A.T. Richardson 2005 Chockstone Shiraz (Grampians),Shiraz,A.T. Richardson,#471669
+34098,Australia,"Silky and plush, this textural harmony is one of the characters that define Margaret River Cabernets. Ample cassis and plum notes are sweet and pick up savory nuances, while subtle hints of tomato leaf and red bell pepper add complexity without being distractingly vegetal. Drink now–2030.",,93,69.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cape Mentelle 2011 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Cape Mentelle,#471163
+34099,Australia,"This winery uses ample amounts of oak, but in years when the fruit concentration matches that intensity the wines can be compelling. Cedar and vanilla notes frame blackberry and cassis fruit in this firmly structured wine that folds in savory notes of roasted beef and black olive on the finish. Drink 2020–2030.",,93,38.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Chapel Hill 2012 Shiraz (McLaren Vale),Shiraz,Chapel Hill,#471669
+34120,Australia,"This full-bodied yet silky Shiraz delivers tremendous elegance for its size. It's complex as well, boasting aromas that range from vanilla and brown sugar through to marinated beef and raspberry compote. The richly-textured finish lingers for minutes. Drink now–2025.",The Château 100 Year Old Vines,93,100.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Château Tanunda 2010 The Château 100 Year Old Vines Shiraz (Barossa),Shiraz,Château Tanunda,#471669
+34121,Australia,"Mouthfilling and supple, this is a top-notch example of Barossa Shiraz. Despite the soft tannins, the fruit is bright and lively, with tart red plum and raspberry notes at the core, surrounded by hints of vanilla and mint. Long and vibrant on the finish, this is drinkable already, but should age well through at least 2025.",Command Single Vineyard,93,122.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Elderton 2010 Command Single Vineyard Shiraz (Barossa),Shiraz,Elderton,#471669
+34155,Australia,"A sleek name and a sleek wine. Vanilla and toffee overflow from the effusive nose while sour candy and plum jam take over on the palate. It's a tad thin in the mouth but finishes on a lovely raspberry note that has just a bit of sticking power. Drink as the Australians do, with Christmas dinner.",Black Bubbles Sparkling,84,25.0,South Australia,McLaren Vale,,,,Shingleback NV Black Bubbles Sparkling Shiraz (McLaren Vale),Shiraz,Shingleback,#471669
+34156,Australia,"Ripe indeed, with confectioner's sugar, vanilla ice cream and honey aromas that lead to a light-to-medium-bodied palate with some disjointed oak notes and a slightly oily texture. Short but pleasant finish of figs and candied lemons. Drink up.",,84,11.0,Australia Other,South Eastern Australia,,,,Madison Ridge 2007 Chardonnay (South Eastern Australia),Chardonnay,Madison Ridge,#440154
+34157,Australia,"Honest and straightforward, with black cherry candy and strawberry fruit upfront that give way to flavors of mixed berries and pepper in the mouth. This wine has a burly structure, with gripping tannins, firm acid and good palate length though it drops a bit short at the end. A fine choice for a casual barbecue. Drink before 2011.",Stonemason,84,12.0,South Australia,Currency Creek,,,,Ballast Stone Estate Wines 2007 Stonemason Shiraz (Currency Creek),Shiraz,Ballast Stone Estate Wines,#471669
+34160,Australia,"This Riesling starts out strong, with a likable tangle of apricots, peaches and apples on the nose. The palate is a bit watery, though it offers up some nice flavors of lime rind and pomelo. Short finish. Drink soon, preferably with cold roast pork.",Devil's Corner,84,16.0,Tasmania,Tasmania,,,,Tamar Ridge 2008 Devil's Corner Riesling (Tasmania),Riesling,Tamar Ridge,#443982
+34186,Australia,"This was a perplexing wine to evaluate. The aromas feature toasted hazelnuts, lemon curd, pineapple and more than a hint of banana bread. The flavors follow in a similar vein, but are exaggerated, coming across as strongly tropical and confected, then drawing to a crisp finish.",Frasca's Lane Vineyard,85,20.0,Victoria,King Valley,,Joe Czerwinski,@JoeCz,Nugan Family Estates 2015 Frasca's Lane Vineyard Chardonnay (King Valley),Chardonnay,Nugan Family Estates,#440154
+34207,Australia,"This medium-weight, slightly austere Riesling boasts aromas of struck flint and lime, with flavors of citrus and underripe stone fruit. Drink it now with raw oysters.",Grand Barossa Dry,86,17.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Château Tanunda 2013 Grand Barossa Dry Riesling (Barossa),Riesling,Château Tanunda,#443982
+34260,Australia,"It's nice to see the quality of this wine reach new heights, as it's still relatively affordable within the Henschke context. The blend includes Shiraz, Cabernet Sauvignon, Merlot and Cabernet Franc. The 2013 shows a slightly austere side, an aristocratic reserve, but the flavors are classic. Pencil shavings, mint, cassis and cigar box finish with great drive, length and dusty tannins. Drink 2023–2035.",Keyneton Euphonium,94,65.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Henschke 2013 Keyneton Euphonium Red (Barossa),Red Blend,Henschke,#3F4788
+34275,Australia,"A classic blend of Cabernet and Shiraz, this is cedary and complex upon opening, easily mixing cassis, plum and blackberry with vanilla and baking spices. On the palate, it's dense and concentrated yet slightly reserved, suggesting rather than screaming its potential. A long, mocha-tinged finish wraps things up, combining dusty tannins with mouthwatering acids. Drink 2020–2030+.",The Signature,94,55.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2013 The Signature Cabernet Sauvignon-Shiraz (Barossa),Cabernet Sauvignon-Shiraz,Yalumba,#208F8C
+34404,Australia,"Shows all the beautiful Viognier notes you could ask for: flowers, spice, apricot and melon, carried by a succulent mouthfeel that remains fresh and vibrant from start to lingeringly spicy finish. Drink now.",,91,20.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Yalumba 2009 Viognier (Eden Valley),Viognier,Yalumba,#45347F
+34502,Australia,"This prodigious wine showcases Barossa's ability to deliver big, mouthfilling flavors without any suggestion of heat or heaviness. Scents of stone fruit, pepper and red currants mark the nose, while the flavors take on a darker cast, heading toward black cherries and black olives. The tannins are supremely silky, but this graceful, feminine beauty should drink well through at least 2020.",The Relic,98,135.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Standish 2006 The Relic Shiraz (Barossa Valley),Shiraz,Standish,#471669
+34506,Australia,"If Standish's Relic is the feminine side of Shiraz, this is in a more masculine vein, with slightly coarser tannins and more weight, but still possessing great intensity without any heaviness. Cassis, blueberry and black olive flavors are tinged with hints of asphalt and espresso, leading into a warm, lingering finish. Drink now-2025.",The Standish Single Vineyard,96,135.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Standish 2005 The Standish Single Vineyard Shiraz (Barossa Valley),Shiraz,Standish,#471669
+34580,Australia,"Toasty and citrusy, this is a prototypical méthode Champenoise sparkler, blending Chardonnay, Pinot Noir and Pinot Meunier from the cool island of Tasmania, off Australia's southern coast. It's medium in weight, with a crisp lemony finish that invites a second sip.",Premium Cuvée Brut,89,20.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Jansz NV Premium Cuvée Brut Sparkling (Tasmania),Sparkling Blend,Jansz,#38578C
+34630,Australia,"Like an underripe nectarine, this tart, crunchy wine needs a bit time to mature. But instead of 2–3 days, think 2–3 years. Lime and mandarin orange notes are lean and crisp on the palate, austere for now, but surely going to blossom in time.",Art Series,91,22.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2013 Art Series Riesling (Margaret River),Riesling,Leeuwin Estate,#443982
+34642,Australia,"Although Cullen's latest red wines haven't always impressed, the quality of the Chardonnay seems to go from great to even greater. This is plump enough to be appealing now, yet with a strong frame of acidity to hold it together for the next 10 or more years. Toasted nuts and fresh pineapple aromas and flavors are exotic upfront, while the lemony finish is long and mouthwatering.",Kevin John,94,109.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2012 Kevin John Chardonnay (Margaret River),Chardonnay,Cullen,#440154
+34895,Australia,"Hints of honey, citrus and petrol mark the aromas of this wine from a legendary Eden Valley estate. It's a medium-bodied rendition of Riesling, dry and petrolly, with a long, concentrated finish that suggests that this wine could safely be cellared for up to 10 years.",Individual Vineyard Selection Dry,87,15.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Pewsey Vale 2008 Individual Vineyard Selection Dry Riesling (Eden Valley),Riesling,Pewsey Vale,#443982
+35027,Australia,"Yalumba's mastery of Viognier extends even to this botrytis-affected dessert style, which offers scents and flavors of honey, dried apricots and orange marmalade. It's not overly complex, but wonderfully concentrated yet balanced, with a long, honeyed finish. Drink it over the next few years.",FSW8B Botrytis - 375 ml,92,19.0,South Australia,Wrattonbully,,Joe Czerwinski,@JoeCz,Yalumba 2009 FSW8B Botrytis - 375 ml Viognier (Wrattonbully),Viognier,Yalumba,#45347F
+35162,Australia,"This is slightly bigger and bolder than the 2009 Art Series Cabernet, but remains a relatively streamlined and silky rendering of the variety. Potent cedar and vanilla notes frame dark fruit aromas and flavors, while the finish lingers, echoing with wood overtones. Drink now–2025.",Art Series,90,60.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2010 Art Series Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Leeuwin Estate,#471163
+35165,Australia,"This is textbook Clare Valley dry Riesling, with lime sherbet aromas and flavors that come across as slightly one-dimensional at this young age. It's medium bodied, with a slightly dusty texture that's especially notable on the long finish. Drink now–2025.",St. Andrews Single Vineyard Release,90,40.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2012 St. Andrews Single Vineyard Release Riesling (Clare Valley),Riesling,Wakefield,#443982
+35173,Australia,"Despite this wine's modest alcohol level, it delivers ample richness and flavor. Hints of toast and roasted nuts frame vibrant citrus fruit and a touch of white peach. It's intense and invigorating, with a burst of fresh citrus echoing on the finish.",The Lucky Lizard,90,22.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 The Lucky Lizard Chardonnay (Adelaide Hills),Chardonnay,D'Arenberg,#440154
+35183,Australia,"A restrained, medium-weight Cabernet, the 2010 from this historic property boasts herb-tinged notes of cassis, brown sugar and hickory smoke. Fine, slightly dusty tannins mark the long finish. Drink now–2025.",,90,23.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2010 Cabernet Sauvignon (Nagambie Lakes),Cabernet Sauvignon,Tahbilk,#471163
+35336,Australia,"For a late-release 2002, this is still very youthful, packing layers of rich cassis and blackberry fruit into a soft jacket of vanilla, cedar and toasted coconut. It's full-bodied, lush and velvety—a simply terrific Cabernet that should prove to have excellent aging potential as well. Drink now–2020.",The Benbournie,93,140.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2002 The Benbournie Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Jim Barry,#471163
+35338,Australia,"There's a noticeable background herbal element to this intensely concentrated wine. Dense layers of cassis and chocolate are front and center, filling the mouth with velvety richness and finishing long. Despite the power and richness, there's a structure to match, suggesting this will improve through at least 2012 and drink well until 2020.",John Riddoch Limited Release,93,45.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Wynns Coonawarra Estate 2004 John Riddoch Limited Release Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Wynns Coonawarra Estate,#471163
+35340,Australia,"Made in the winery's classically savory style, this flagship Cabernet shows a touch of bricking at the rim and some maturing aromas and flavors of tobacco, cedar and earth. It's broad and mouthfilling, creamy in texture yet not obviously fruity, finishing with lush, soft tannins and a touch of hickory smoke. Drink now–2015.",St. Andrews,93,50.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2001 St. Andrews Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+35341,Australia,"From veteran winemaker John Glaetzer, this Cabernet from Langhorne Creek is something of a throwback, spending some 28 months in American oak hogsheads. Yet there's clearly enough cherry and cassis fruit to support all of the vanilla and toasted coconut, and the wine finishes long and balanced. Drink 2010–2020.",Individual Selection,93,50.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,John's Blend 2003 Individual Selection Cabernet Sauvignon (Langhorne Creek),Cabernet Sauvignon,John's Blend,#471163
+35344,Australia,"Operative words to describe this wine might include seamless and harmonious. There's such wonderful integration of fruit and oak that it's difficult to pick this wine's flavor components apart—it's a whirl of cassis and cedar, yet restrained; full-bodied, rich and dense without being heavy. Long and velvety on the finish, with enough soft tannins to last it 10–15 years.",,93,75.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Moss Wood 2004 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Moss Wood,#471163
+35351,Australia,"Dark and savory in style, this Shiraz offers scents of grilled meat, black olive and plum. It's full bodied and firmly structured, finishing on a crisp peppery note. It should drink well from 2020 to 2030.",Basket Pressed,92,40.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kay Brothers 2013 Basket Pressed Shiraz (McLaren Vale),Shiraz,Kay Brothers,#471669
+35376,Australia,"A consistent performer, Yalumba's Hand Picked Shiraz-Viognier seems slightly bigger and chunkier in 2008 than in the past, with bold fruit—blueberries and blackberries—accented by hints of mint. Expect some savory notes to develop over the next couple of years in bottle.",Hand Picked,92,31.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2008 Hand Picked Shiraz-Viognier (Barossa),Shiraz-Viognier,Yalumba,#462F7C
+35391,Australia,"The 2007 is full bodied and rich, but not really Beast-like at this stage of its evolution. The texture is creamy, the tannins nearly silky on the long finish. Flavors of blackberry, mocha and black olive linger. Drink now–2018.",The Beast,92,75.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Hentley Farm 2007 The Beast Shiraz (Barossa Valley),Shiraz,Hentley Farm,#471669
+35399,Australia,"This wine's velvety mouthfeel sets it apart from the pack, as does the vibrancy of its dark berry fruit. Hints of vanilla and mint accent the fruit without detracting from it, as does a subtle layer of mocha. Long and layered on the finish; drink now–2020.",Hand Picked,92,31.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2007 Hand Picked Shiraz-Viognier (Barossa),Shiraz-Viognier,Yalumba,#462F7C
+35475,Australia,"This is MLG's entry-level Shiraz, but it's no slouch. Plum and blackberry fruit, hints of black olive and espresso, decent weight and dusty tannins provide plenty of bang for the buck. Drink now–2020.",Billi Billi,90,16.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Mount Langi Ghiran 2013 Billi Billi Shiraz (Victoria),Shiraz,Mount Langi Ghiran,#471669
+35487,Australia,"A fresh, fruity and fun rendering of Pinot Noir, this medium-bodied wine features lightly floral aromas, red cherry and raspberry fruit and a silky, mouthwatering finish. Drink now–2020.",,90,17.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Wakefield 2015 Pinot Noir (Adelaide Hills),Pinot Noir,Wakefield,#414286
+35522,Australia,"This lacks the underripe edge of Hunter Valley Semillon or the ripeness and breadth of Barossa Valley versions, so I guess you could say it expresses its Eden Valley terroir. That said, it's a bit neutral, with modest fig and citrus flavors that finish long and crisp.",Louis,87,42.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2015 Louis Semillon (Eden Valley),Sémillon,Henschke,#2C728E
+35581,Australia,"This Barossa Shiraz eschews the superripe character found in many from the region in favor of a more balanced, Rhône-ish approach. There's a base of raspberry and vanilla sweetness, but also lots of herbal and spice complexity—notably cracked pepper and black olives. Has enough soft tannins to suggest drinking now–2018. Imported by 34th Parallel, LLC.",,91,20.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Jenke 2006 Shiraz (Barossa),Shiraz,Jenke,#471669
+35594,Australia,"From Margaret River in Western Australia, this is a full-bodied, impressively endowed Shiraz at a reasonable price. Superripe aromas of blackberries and licorice mark the nose, while the palate features similar flavors, supple tanins and a creamy-textured finish. Good to go now, with enough concentration to hold until 2015.",Eagle Bay,91,21.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Wise 2005 Eagle Bay Shiraz (Margaret River),Shiraz,Wise,#471669
+35597,Australia,"This is a full-bodied, firmly structured Shiraz with plummy, intense aromas tinged with licorice and framboise. Bits of chocolate, mint and spice accent the plum and raspberry flavors, and the wine finishes crisp, dry and deeply textured. It should drink well from now through 2015.",Reserve,91,40.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Longwood 2005 Reserve Shiraz (McLaren Vale),Shiraz,Longwood,#471669
+35603,Australia,"Has the peripatetic Michel Chapoutier found his new Côte Rôtie? The aromas of this wine are simply intoxicating, combining peppery spice, raspberries and olives, while the flavors fold in bloody-meaty notes and blueberry fruit. Its remarkable complexity is packed onto a relatively light frame, with delicate, silky tannins suggesting early drinkability. Drink now–2012.",,91,25.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Domaine Terlato & Chapoutier 2005 Shiraz-Viognier (Victoria),Shiraz-Viognier,Domaine Terlato & Chapoutier,#462F7C
+35678,Australia,"This is classic Cabernet, from the reticent aromas of pencil shavings to the restrained flavors of cassis and cigar box. It's on the full-bodied side of the spectrum, with enough dusty tannins to suggest longevity through at least 2020, despite an already velvety finish.",,92,25.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Balgownie Estate 2010 Cabernet Sauvignon (Bendigo),Cabernet Sauvignon,Balgownie Estate,#471163
+35679,Australia,"This wine shows a more savory side of Cabernet Sauvignon without being in any way underripe or malnourished. It's a big, ripe wine, but the mulberry and cassis fruit is marked by cinnamon and clove shadings. It finishes lush, velvety and warm, with hints of chocolaty richness. This should drink well through at least 2024, and possibly for longer if it firms up a little.",Reserve,92,50.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2010 Reserve Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Penley Estate,#471163
+35719,Australia,"This starts off slowly, but red raspberry notes emerge after some vigorous swirling. It's full-bodied and supple, featuring some berry tea-like flavors, hints of cocoa and a fine, softly dusty finish. Drink it over the next 10 years.",Lady's Lane Vineyard,91,61.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Tournon by Michel Chapoutier 2012 Lady's Lane Vineyard Shiraz (Heathcote),Shiraz,Tournon by Michel Chapoutier,#471669
+35721,Australia,"This is meant to provide a counterpoint to the Tyrrell family's Hunter Valley offerings, but it retains similar sensibilities. It's a medium-weight, crisp Shiraz that features a slight herbal tinge to notes of cracked pepper and red raspberries. It finishes bright and lively; drink now–2025.",Rufus Stone,91,25.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Tyrrell's 2013 Rufus Stone Shiraz (Heathcote),Shiraz,Tyrrell's,#471669
+35743,Australia,"This wine was inadvertently tasted against a bunch of Barossa giants, so I may have underestimated it. It still held its own, delivering subtle notes of plum, cinnamon and clove, plus hints of olive and mocha. It's medium in body, with some herbal notes, yet finishes dusty and mouthwatering. Drink now–2028.",Graveyard Vineyard,91,125.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2013 Graveyard Vineyard Shiraz (Hunter Valley),Shiraz,Brokenwood,#471669
+35750,Australia,"A bit developed already, with a round mouthfeel and some honey character accented by citrus and gingery-peppery spice. Pleasant to drink now, but seems to lack the vivacity for extended aging.",Art Series,86,22.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2010 Art Series Riesling (Margaret River),Riesling,Leeuwin Estate,#443982
+36003,Australia,"With its herb and green olive aromas, this is not a typical value-priced Australian Shiraz. It's surprisingly complex, adding just enough red berry fruit into the mix while staying on the savory, herbal side of the tracks. The tannins are supple, fading into an ashy touch on the finish. Drink now and over the next few years.",,88,13.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Miles From Nowhere 2011 Shiraz (Margaret River),Shiraz,Miles From Nowhere,#471669
+36017,Australia,"This medium-weight Shiraz features subtle campfire notes from start to finish, underscoring its cherry and mint aromas and flavors. Fresh and friendly, it features a soft dusting of tannins on the finish. Drink it now and over the next few years.",,88,40.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Greenstone 2008 Shiraz (Heathcote),Shiraz,Greenstone,#471669
+36033,Australia,"The oak treatment stands out a little in this wine, imparting a dusty, wood-smoke component as well as plenty of vanilla. The cherry fruit is otherwise nicely presented, with ample weight and a touch of creaminess to the texture.",Pure Estate,86,11.0,Australia Other,Central Ranges,,Joe Czerwinski,@JoeCz,Anthropology 2009 Pure Estate Shiraz (Central Ranges),Shiraz,Anthropology,#471669
+36049,Australia,"The relatively cool Adelaide Hills are making a name for their Sauvignon Blanc, and this example shows a restrained, grassy bouquet and flavors of grapefruit and tangerine. It's plump on the midpalate, then almost razor-sharp on the finish. Drink now.",The Broken Fishplate,86,17.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Broken Fishplate Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,D'Arenberg,#482172
+36099,Australia,"A tart, tangy Shiraz of only medium weight, this wine offers only moderately complex flavors of plum, tinged with coffee, leather and black olive.",The Love Grass,87,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The Love Grass Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+36335,Australia,"Loaded with ripe pear, muskmelon and tropical fruit, this is a medium-bodied, plump white with crowd appeal. It seems a bit off dry, but closes on a citrusy note.",Two Lands,87,15.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2015 Two Lands Pinot Grigio (Australia),Pinot Grigio,Jacob's Creek,#423D84
+36422,Australia,"A bit spicier than the other R Wines Shirazes, the 2007 Boarding Pass features mainly McLaren Vale fruit, offering blackberry tinged with coffee and peppery spice. Turns tart, tangy, almost a bit citrusy on the finish.",Boarding Pass,87,20.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,R Wines 2007 Boarding Pass Shiraz (South Australia),Shiraz,R Wines,#471669
+36651,Australia,"Despite a nose and palate that delivers plenty of mixed citrus fruit, this comes across as very dry. It's lemony and crisp on the long, austere finish. Drink now with oysters, or cellar for 5–10 years.",Mort's Block,92,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2014 Mort's Block Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+36652,Australia,"The Art Series Cabernet seems to be increasing in quality nearly every vintage. The 2012 boasts plenty of sweet, cedary oak, but backs that up with layers of red currant fruit and hints of bay leaf. It's silky and harmonious on the finish, adding tea-like notes of complexity. Drink now–2025.",Art Series,92,60.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2012 Art Series Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Leeuwin Estate,#471163
+36656,Australia,"Menzies is the name of Yalumba's Coonawarra estate, which is almost entirely devoted to Cabernet Sauvignon. Like most of the Yalumba wines, the oak levels have been pared back in recent vintages, allowing this wine's cassis fruit to to shine. Hints of tobacco, bay leaf and sage bring complexity, while the tannins are fine, adding a softly dusty feel to the long finish.",The Cigar Menzies Vineyard,92,26.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Yalumba 2013 The Cigar Menzies Vineyard Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Yalumba,#471163
+36662,Australia,"This medium-bodied wine is rich and dessert-sweet, with the warm, lush feel of the Barossa. Candied pineapple and dried pear aromas and flavors turn honeyed and long on the finish. Ready to drink.",Golden,92,25.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Elderton 2015 Golden Semillon (Barossa Valley),Sémillon,Elderton,#2C728E
+36673,Australia,"The finest Jester Cabernet I can remember, this full-bodied yet supple wine features aromas of cassis, cedar and vanilla in fine balance. Cassis and chocolate flavors continue in the same vein, followed by a silky, long finish. Drink now–2028.",Jester,92,22.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2014 Jester Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Mitolo,#471163
+36693,Australia,"Really youthful, with almost grapy aromas buttressed by mocha and lifted, slightly leafy notes. This is a big wine, marked by thick, chewy tannins on the finish, but they never obscure the flavors of grape skins, tapenade and mocha. Try after 2018.",Georgia's Paddock,91,85.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Jasper Hill 2014 Georgia's Paddock Shiraz (Heathcote),Shiraz,Jasper Hill,#471669
+36727,Australia,"This easy-drinking Shiraz features some plummy—almost pruny—fruit aromas, facile plum and berry flavors, little tannin and bright acids on the finish.",Deen de Bortoli Vat 8,84,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2006 Deen de Bortoli Vat 8 Shiraz (South Eastern Australia),Shiraz,De Bortoli,#471669
+36766,Australia,"Bears a passing resemblance to some Monterey (California) Chards, combining peaches with sweet corn and bright citrus, all wrapped in a coating of toasty, vanilla-scented oak. Crisp on the finish. Drink now.",,86,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Tapestry 2006 Chardonnay (McLaren Vale),Chardonnay,Tapestry,#440154
+36775,Australia,"This starts off a bit tarry and rubbery at first, but soon settles down to reveal black cherry and cola aromas and flavors. It's a nice, medium-bodied red, turning a little tart on the finish.",,86,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kangarilla Road 2005 Shiraz-Viognier (McLaren Vale),Shiraz-Viognier,Kangarilla Road,#462F7C
+37026,Australia,"This plush, fruit-driven style of Shiraz displays aromas that resemble a cross between Nilla Wafers and graham crackers spread with berry preserves. The flavors follow along similar lines, underscored by hints of chocolate and coffee on the lingering finish.",Covenant,92,40.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2008 Covenant Shiraz (Clare Valley),Shiraz,Kilikanoon,#471669
+37028,Australia,"This full-bodied Shiraz starts off plummy, with oak-derived accents of smoke and vanilla. Those elements also show up on the palate, picking up additional notes of blackberry, cedar and baking spice. The texture is velvety, and the finish is long and surprisingly elegant. Drink now–2025.",Lot 147 Single Vineyard,92,30.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Rocland Estate 2008 Lot 147 Single Vineyard Shiraz (Barossa Valley),Shiraz,Rocland Estate,#471669
+37029,Australia,"Chunky cassis, tobacco and cedar mark the nose and palate of this textbook Cabernet. It's round in the mouth, with a long, richly textured finish that adds nuances of cocoa and dried herb. Like its close cousin from the Hickinbotham Vineyard, it can be drunk now–2025.",Sandown,92,45.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2008 Sandown Cabernet Sauvignon (Clarendon),Cabernet Sauvignon,Clarendon Hills,#471163
+37036,Australia,"Although this probably won't be easy to locate (only 64 of the 550 cases produced were imported to the U.S.), it is worth seeking out for its full, expansive mouthfeel; intense cassis and dark chocolate flavors; and long, velvety finish. Drink now–2025.",Yellow Hammer Hill,92,25.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Wild Duck Creek Estate 2008 Yellow Hammer Hill Shiraz-Malbec (Heathcote),Shiraz-Malbec,Wild Duck Creek Estate,#57C665
+37068,Australia,"A faint coppery-pink rosé, Taltarni's 2008 Taché is a blend of 58% Chardonnay, 37% Pinot Noir and 5% Pinot Meunier. It's lean and crisp, with a zesty, citrusy feel to the modest toast and mushroom flavors.",Taché,88,25.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Taltarni 2008 Taché Sparkling (South Eastern Australia),Sparkling Blend,Taltarni,#38578C
+37183,Australia,"This is a lush, ripe Chardonnay from a cool subregion of the Adelaide Hills. Grilled peaches and toasted coconut elements lend an exotic edge to this full-bodied wine. Drink it over the next few years.",,91,33.0,South Australia,Piccadilly Valley,,Joe Czerwinski,@JoeCz,Petaluma 2010 Chardonnay (Piccadilly Valley),Chardonnay,Petaluma,#440154
+37296,Australia,"This manages to be plush and rich in texture while keeping the alcohol level reined in. Pineapple crème brûlée aromas are backed up on the palate by flavors of peach and pineapple, finishing long and rich. Drink now.",Pipers River Cave Block Estate,91,40.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Dalrymple 2014 Pipers River Cave Block Estate Chardonnay (Tasmania),Chardonnay,Dalrymple,#440154
+37308,Australia,"Mainly Shiraz, this is dense and earthy on the nose, filled with dark fruit aromas. The flavor profile is similar, but this medium- to full-bodied red turns tart and lemony on the finish. Drink now.",Rip Snorter,86,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yarraman 2005 Rip Snorter Shiraz-Cabernet Sauvignon (South Eastern Australia),Shiraz-Cabernet Sauvignon,Yarraman,#460B5E
+37318,Australia,"This is a rather bulky, chunky Merlot, with decent levels of grapy black cherry and cassis fruit. It lacks elegance, but makes up for it with plenty of intensity and flavor. Drink now.",,85,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,McWilliam's Hanwood Estate 2006 Merlot (South Eastern Australia),Merlot,McWilliam's Hanwood Estate,#24848D
+37450,Australia,"Assertively toasty and nutty, this is barrel-fermented in new oak, but in 500-liter puncheons, not the smaller barriques, so that the wood doesn't overwhelm. Peach, vanilla and citrus flavors completely fill the mouth, yet remain fresh and vibrant on the finish. Drink now–2012. Imported by Epic Wines.",Reserve,91,45.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2005 Reserve Chardonnay (Yarra Valley),Chardonnay,Yering Station,#440154
+37461,Australia,"This may only be a medium-bodied red, but it crackles with the exciting flavors of the northern Rhône, marrying freshly cracked peppercorns with a hint of meatiness and bright blueberry fruit. Drink now.",,90,20.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Innocent Bystander 2005 Shiraz-Viognier (South Eastern Australia),Shiraz-Viognier,Innocent Bystander,#462F7C
+37464,Australia,"Toasty and nutty upfront, with hints of minerality showing through, this is a refined Chardonnay that should have the structure to age. Despite being barrel-fermented, there's no malolactic fermentation, so it stays crisp through the long finish that barely hints at pear and peach.",,90,85.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Mount Mary 2005 Chardonnay (Yarra Valley),Chardonnay,Mount Mary,#440154
+37551,Australia,"So putting “Reserve” on a $13 bottle of wine might seem like a stretch, but the fact is what's in the bottle is very good. It's full bodied, creamy and lushly textured, with an intriguing herbal tang to the black cherry fruit, hints of vanilla and a softly dusty finish. Drink now–2018.",Reserve,89,13.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Jacob's Creek 2013 Reserve Shiraz (Barossa),Shiraz,Jacob's Creek,#471669
+37555,Australia,"There comes a point when the pursuit of restraint becomes fruitless, and while this wine shows a wonderfully silky texture and an elegant finish, its subtle aromas and flavors of roasted cashew and citrus are indeed understated.",M3,89,35.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shaw and Smith 2013 M3 Chardonnay (Adelaide Hills),Chardonnay,Shaw and Smith,#440154
+37863,Australia,"For a Barossa Chardonnay, this is surprisingly understated, with pear, pineapple and toasted cereal notes giving an elegant impression. Drink now, as it fades a bit on the finish.",,89,25.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Jenke 2006 Chardonnay (Barossa),Chardonnay,Jenke,#440154
+37864,Australia,"Peach and pineapple fruit flavors form the core of this wine, embellished by touches of smoky oak. It's a medium-bodied Chardonnay, finishing long, citrusy and crisp. Drink now.",Styx Gully,89,19.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2006 Styx Gully Chardonnay (Western Australia),Chardonnay,West Cape Howe,#440154
+37876,Australia,"Dense all the way, from the dark, almost black color, to the huge aromas of blackberry jam, smoke and cassis, to the enormously fruity flavors. The texture is massive. This dry, complex wine coats the palate with all sorts of sensations, and the lush, sweet, fruity flavor lasts a full 30 seconds on the finish.",Bethany Creek Vineyard - Limited Reserve,93,30.0,South Australia,Barossa Valley,,,,Heritage Road 1999 Bethany Creek Vineyard - Limited Reserve Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Heritage Road,#471163
+37882,Australia,"Writes the book on how to make a wine filled with gigantic jammy fruit that's nonetheless dry, balanced and harmonious. The Cabernet contributes blackcurrants and structural tannins. The Syrah brings a peppery richness, while Merlot adds soft fruitiness. You can actually taste each varietal, yet the wine hangs together, dry and rich. Best Buy.",Sarah's Blend,93,15.0,Australia Other,South Eastern Australia,,,,Marquis Philips 2000 Sarah's Blend Red (South Eastern Australia),Red Blend,Marquis Philips,#3F4788
+38056,Australia,"Though it's crisp and fresh in the mouth, this wine has some weight (and some oily viscosity) to it. Starts off in the mouth with a burst of sweetness, and a limey, grassy streak carries it through to the finish. Nose is fruity, with nectarine and mango highlights.",The Lodge Hill,90,15.0,South Australia,Clare Valley,,,,Jim Barry 2002 The Lodge Hill Riesling (Clare Valley),Riesling,Jim Barry,#443982
+38061,Australia,"What a combination—quality on par with some of Australia's top performers at a price point that doesn't put you on the bread line. Lively, with brisk acidity, the Bin 7 has lime, grass and mineral notes and just enough viscosity to remind you that it's Riesling, not Sauvignon Blanc. Finishes long and fresh, with sour apple flavors.  Editors' Choice.",Bin 7,90,16.0,South Australia,Clare Valley,,,,Leasingham 2002 Bin 7 Riesling (Clare Valley),Riesling,Leasingham,#443982
+38065,Australia,"A very nice wine that's zesty and fresh in the mouth, and deep gold in color, the Vat 47 offers bright yellow fruit flavors, with light vanilla, toast and citrus accents. Nose is alternately perfumey and toasty. Tasted twice.",Vat 47,89,50.0,New South Wales,Hunter Valley,,,,Tyrrell's 2000 Vat 47 Chardonnay (Hunter Valley),Chardonnay,Tyrrell's,#440154
+38072,Australia,"This Riesling's fruit is from a 70-year-old Eden Valley vineyard; half the wine was vinified by Jeff Grosset at Polish Hill, the other half was vinified by Rob Hill Smith at Yalumba. Once the wine was all brought together, Grosset and Hill-Smith, as the story goes, took four days to decide on the final blend. The wine's at once viscous and very dry, with stone fruit, vanilla bean and some floral flavors. Green apple rounds out the long, dry finsih.",mesh,89,25.0,South Australia,Eden Valley,,,,Yalumba 2002 mesh Riesling (Eden Valley),Riesling,Yalumba,#443982
+38075,Australia,"For a Riesling, the Julius is no lightweight. It's medium-weight, with pretty flavors of yellow fruit, resin, honeysuckle, even olive oil. Petrol and minerally notes play on the nose. A very good wine, and one with enough range of flavor to keep you guessing.",Julius,89,25.0,South Australia,Eden Valley,,,,Henschke 2001 Julius Riesling (Eden Valley),Riesling,Henschke,#443982
+38094,Australia,"This wine shows an intriguing touch of flinty, fumé character as well as ample melon and fig fruit. It's reasonably full bodied and textured for a wine of its ilk.",,89,16.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cape Mentelle 2012 Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Cape Mentelle,#3C4E8A
+38095,Australia,"One of the best unoaked Aussie Chardonnays I've come across, this is surprisingly full bodied and lush, boasting ample pineapple and peach fruit. If it lacks a bit of texture and complexity for not having any oak, the price more than compensates. Drink it over the next several months.",Omrah,89,15.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 2011 Omrah Chardonnay (Western Australia),Chardonnay,Plantagenet,#440154
+38102,Australia,"As a straightahead Aussie Riesling for drinking young alongside raw oysters, this has few equals. Scents of petrichor and fresh flower-shop greenery mingle easily on the nose, while the crispness of the high-acid backbone resounds on the palate, ending on a talc-like note.",Rocky Gully,89,25.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2012 Rocky Gully Riesling (Frankland River),Riesling,Frankland Estate,#443982
+38109,Australia,"Filled with scents and flavors of black earth, cedar and dark fruit, this impressively full-bodied wine demands to be served with something similarly big and meaty. Despite its size, it's open-knit and accessible, with just enough coarse tannins on the finish to cut the richness of beef steaks or braises.",The Laughing Magpie,89,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2009 The Laughing Magpie Shiraz-Viognier (McLaren Vale),Shiraz-Viognier,D'Arenberg,#462F7C
+38114,Australia,"Mint notes accent blueberry and plum fruit, while hints of tar and black olive add a savory edge. This medium- to full-bodied Shiraz is creamy on the midpalate, but firms up enough on the finish to pair well with burgers or steaks. Drink now–2020.",Regional Vineyard Series,90,15.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Gotham 2010 Regional Vineyard Series Shiraz (Barossa Valley),Shiraz,Gotham,#471669
+38118,Australia,"Evaluating young Eden Valley Rieslings isn't easy, as they often don't show their full potential for several years. The 2012 Bin 51 is tight and linear, crisply focused and a bit one-dimensional at this age. But the lime-driven fruit is potent and the finish beautifully clean and long. It should develop well over the next 7–8 years or more.",Bin 51,90,40.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Penfolds 2012 Bin 51 Riesling (Eden Valley),Riesling,Penfolds,#443982
+38236,Australia,"This medium-bodied Chardonnay is plump without being heavy, featuring modest citrus aromas but greater depth of fruit on the palate, adding pear and melon flavors to the mix. It's fresh and lively on the finish, which should serve it well with a wide variety of dishes. Drink now–2013.",Reserve Release,89,45.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2007 Reserve Release Chardonnay (Yarra Valley),Chardonnay,De Bortoli,#440154
+38274,Australia,"This GSM blend includes bits of Carignan and Cinsault. It's a full-bodied, supple wine intended for youthful consumption, with a long, mouthwatering finish. Raspberry and cherry fruit is balanced by savory notes of earth and mocha. Drink now–2016.",Miss Harry,90,23.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Hewitson 2010 Miss Harry G-S-M (Barossa),G-S-M,Hewitson,#26818E
+38470,Australia,"So green and peppery on the nose it seems jalapeño-like. There is plenty of citrus fruit as well, giving a slightly disjointed impression a this early age. This medium-bodied wine turns lean on the abbreviated finish. Try now with raw oysters or clams, or hold for at least five years.",,85,20.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2012 Semillon (Hunter Valley),Sémillon,Brokenwood,#2C728E
+38598,Australia,"A big, burly, concentrated Grenache, Yangarra's High Sands bottling seems capable of evolving nicely over the next 3–5 years, although it is supple enough to drink now. Black cherry preserves gain structure on the finish in the form of finely dusty tannins.",High Sands,88,80.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2006 High Sands Grenache (McLaren Vale),Grenache,Yangarra Estate Vineyard,#481C6E
+38603,Australia,"A remarkable value, Oxford Landing's GSM is a convincing argument in favor of blending. It offers a complex mélange of leather, spice and cherry notes, medium body and a fresh, vivacious finish. Considering it can probably be found for around $80 per case, this would make a great everyday wine for drinking over the next year or so.",GSM Grenache-Shiraz-Mourvèdre,88,8.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2007 GSM Grenache-Shiraz-Mourvèdre G-S-M (South Australia),G-S-M,Oxford Landing,#26818E
+38611,Australia,"A soft, cuddly Grenache-based (55%) blend, Schild's GMS features red berry fruit with modest touches of cocoa and leather. It's very supple and round, easy to drink on its own. Probably best now and over the next year or so.",Old Bush Vine GMS Grenache-Mourvèdre-Shiraz,88,15.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Schild Estate 2009 Old Bush Vine GMS Grenache-Mourvèdre-Shiraz G-S-M (Barossa),G-S-M,Schild Estate,#26818E
+38688,Australia,"The quality of wines emerging from the partnership of Italian winemaking consultant Alberto Antonini, Australian viticulturist Mark Walpole and U.K.-based Master of Wine David Gleave is impressive. This Shiraz boasts complex aromas of campfire, cracked pepper and cassis married to ample weight and firm, yet silky, texture. The balance is spot-on, being neither too heavy nor too light, with a crisp, long finish. Drink now–2020, possibly beyond.",,92,40.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Greenstone 2012 Shiraz (Heathcote),Shiraz,Greenstone,#471669
+38950,Australia,"Fruit from 900 of some of the planet's oldest vines goes into this wine, which gives it an interesting link to the past as well as being excellent. Cedary notes frame blueberry and blackberry fruit, picking up nuances of menthol, hickory smoke and mocha along the way. The supple tannins seem to gain grip as you sip, finishing firm enough to suggest cellaring up to 15 years.",Attunga 1865,94,235.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2010 Attunga 1865 Shiraz (Clare Valley),Shiraz,Kilikanoon,#471669
+38962,Australia,"This is a McLaren Vale classic, produced from vines planted in 1892. It's a full-bodied, chewy style that marries cedar and mint to deep, plummy fruit. Like many of the big-name Australian Shirazes, this doesn't require cellaring, but will reward it, at least through 2020.",Amery Vineyard Block 6,94,120.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kay Brothers 2010 Amery Vineyard Block 6 Shiraz (McLaren Vale),Shiraz,Kay Brothers,#471669
+38988,Australia,"Penfolds Bin 707 has leapt in quality over the past few vintages. The 2009 features hints of mint, cedar and vanilla accenting ripe cassis fruit. It's full bodied and rich, velvety without being overly soft, with a dusty tannic structure that should support it over two decades or more of aging. Drink 2015–2030+.",Bin 707,95,200.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2009 Bin 707 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Penfolds,#471163
+39104,Australia,"Recently, Angove's various Warboys Vineyard bottlings have been consistently excellent; the 2014 blends 57% Shiraz and 43% Grenache to good effect. It's full bodied, creamy and supple, combining vanilla notes with hints of mint and an ample dose of cherry-berry fruit. Drink now through 2022.",Warboys Vineyard,91,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2014 Warboys Vineyard Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,Angove,#2D6E8E
+39121,Australia,"Since Brokenwood's Hunter Valley location isn't ideal for Pinot Noir, it sources the grapes for this wine from Beechworth (inland Victoria). This is a fine, crisp wine for early drinking. Lacy floral and cherry aromas lead the way, followed by tart flavors reminiscent of berry zinger tea.",,89,22.0,Victoria,Beechworth,,Joe Czerwinski,@JoeCz,Brokenwood 2014 Pinot Noir (Beechworth),Pinot Noir,Brokenwood,#414286
+39195,Australia,"This is ripe, fruit-driven Shiraz with ample weight and ripeness. Hints of smoke and sage add nuance to the blueberry and black cherry fruit, while coarse-grained tannins provide adequate structure and grip. Drink now–2022.",Catapult,88,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2014 Catapult Shiraz (McLaren Vale),Shiraz,Wirra Wirra,#471669
+39339,Australia,"Combine masses of American oak with high ripeness and the result is this warm woody wine oozing with vanilla, molasses and cedar. It's full and plush, but lacks complexity and cellaring potential. Drink it now.",Enchanted Path,87,75.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mollydooker 2014 Enchanted Path Shiraz-Cabernet (McLaren Vale),Shiraz-Cabernet,Mollydooker,#2FB37B
+39365,Australia,"A great example of Margaret River flexing its Chardonnay muscles, and from a label producing wines of consistent quality and drinkability. Notes of smoke, lemon, melon, vanilla oak and a slight vegetal character lead into a nicely textured palate and a long, smokey finish. The acidity is rather searing at the moment, and the oak a bit apparent, but give this a little time and all will settle into place. Drink now–2025.",,91,30.0,Western Australia,Margaret River,,,,Stella Bella 2016 Chardonnay (Margaret River),Chardonnay,Stella Bella,#440154
+39370,Australia,"This wine shows a grape jelly note that might be a little on the ripe side, but the cedary, cigar box characters balance things out beautifully. The palate is medium bodied, with a long line of focused acidity, herbs, an earthy core and a long cigar-box finish.",,91,25.0,South Australia,South Australia,,,,5OS Project 2014 Montepulciano (South Australia),Montepulciano,5OS Project,#60C960
+39387,Australia,"Slightly lighter on its feet than its sibling, L-Block, the Lieu-Dit shows more meat and black olive characters combined with ripe cherry, chocolate, cola, and oak spice. The palate is tangy and herbal while the powerful tannins are fine grained and the acidity well balanced. This should age rather nicely. Drink 2019–2037.",Lieu-Dit Malakoff,91,40.0,Victoria,Pyrenees,,,,Domaine Terlato & Chapoutier 2013 Lieu-Dit Malakoff Shiraz (Pyrenees),Shiraz,Domaine Terlato & Chapoutier,#471669
+39396,Australia,"This is an earthy, savory style of Shiraz, with modest berry and plum fruit wrapped into a blanket of firm but silky tannins. Ample length and structure separates this from the rest of the pack.",Entity,92,40.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,John Duval Wines 2013 Entity Shiraz (Barossa Valley),Shiraz,John Duval Wines,#471669
+39553,Australia,"Full bodied, lush and slightly liquorous in style, the 2008 Footbolt is also packed with peppery, slightly herbal blackberry fruit. There's also a hint of menthol. Drink it over the next 12 months.",The Footbolt,87,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Footbolt Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+39627,Australia,"This wine is rather developed, showing leather, earth and tobacco on the nose. Savory and meaty rather than fruity, it is full-bodied and pleasantly supple. Drink now–2020.",Hill of Grace,91,780.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2009 Hill of Grace Shiraz (Eden Valley),Shiraz,Henschke,#471669
+39654,Australia,"A big, rich Pinot, but one that for all its weight and intensity doesn't lack for elegance. Black cherry fruit and spice notes coat the mouth, lingering on the finish. Drink it now and over the next several years. Imported by Epic Wines.",Reserve,91,45.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2005 Reserve Pinot Noir (Yarra Valley),Pinot Noir,Yering Station,#414286
+39683,Australia,"This is full bodied yet firmly structured, built to enjoy now or age through at least 2025. Ample cedary oak notes frame blueberry fruit and peppery spice. This is tight but still enjoyable, ending in a lengthy crescendo of dusty tannins.",Basket Pressed Amery Vineyard,93,40.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kay Brothers 2012 Basket Pressed Amery Vineyard Shiraz (McLaren Vale),Shiraz,Kay Brothers,#471669
+39691,Australia,"Cowaramup is a Margaret River subregion. A herbal note adds interest to the aromas, and some lifted red fruit sets this wine apart from Cherubino's other 2010 Cabernets. Otherwise, it's pretty similar in its lavish oaking and meaty, savory flavors, but with a bright, mouthwatering finish. Drink now–2020.",Cowaramup,93,54.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cherubino 2010 Cowaramup Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Cherubino,#471163
+39961,Australia,"As unevolved as they are, the dense and multilayered aromas and flavors are truly impressive here. Black currant, herb, tea, oak, vanilla, maple, anise, blueberries and more--it could be an excercise in overkill, if all the parts weren't in such fine harmony. Really big, but with excellent balance, this reveals much less now than the RWT. It is everything a flagship wine in its infancy should be--immaculate component parts, superbly full on the palate, possessed of great length and incredible potential. An absolute keeper to visit in 7, 15 or 25 years. To be released 5/01.",Grange,96,185.0,South Australia,South Australia,,,,Penfolds 1996 Grange Shiraz (South Australia),Shiraz,Penfolds,#471669
+39962,Australia,"Seamless luxury from stem to stern, this ‘baby Grange' is  impressive juice. Blackberry, menthol and smoke play unusually elegantly on the nose, the texture is velvet on the tongue with dark berry, coffee, licorice and muted black pepper flavors. The superb, very long finish combines all the elements with wonderful finesse and a rare grace. Not inexpensive, but fairly priced; you could pay twice as much for half the wine, almost any day in any fine wine store in the country. To be released 5/01.",RWT,95,70.0,South Australia,Barossa Valley,,,,Penfolds 1998 RWT Shiraz (Barossa Valley),Shiraz,Penfolds,#471669
+39971,Australia,"Modest cherry and strawberry notes appear on the nose and the palate, with some slightly herbal flavors as well. It's light in body, with soft acids and a relatively quick finish.",Circle Collection,84,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jindalee 2007 Circle Collection Rosé (South Eastern Australia),Rosé,Jindalee,#450558
+39975,Australia,"De Bortoli's unique approach to harvest timing and extensive use of new oak leaves this wine seeming rather disjointed: coffee and cola notes dominate the tart, cranberryish fruit flavors. I suspect it will show better with a few years' of cellaring, but until then, I remain unconvinced.",Reserve Release,84,60.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2006 Reserve Release Pinot Noir (Yarra Valley),Pinot Noir,De Bortoli,#414286
+40025,Australia,"This medium-bodied wine offers an elegant, silky mouthfeel. Some yeasty-dough aromas add interest to the pineapple and tangerine flavors, which linger delicately on the finish.",Generation Series Cold Chalk,87,29.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Mr. Riggs 2013 Generation Series Cold Chalk Chardonnay (Adelaide Hills),Chardonnay,Mr. Riggs,#440154
+40149,Australia,"Well oaked, showing plenty of espresso-like char and brown sugar on the nose, this is a full-bodied, creamy-textured Cabernet. Mocha and caramel flavors continue the theme, backed by just enough cassis fruit. Drink now–2025.",Finisterre,91,35.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Robert Oatley 2012 Finisterre Cabernet Sauvignon (Great Southern),Cabernet Sauvignon,Robert Oatley,#471163
+40154,Australia,"This 50-50 blend is firm, focused and rich, offering attractive aromas of mint, vanilla, cedar and red-skinned plums. Flavors turn darker, suggesting espresso and chocolate, but enlivened by bright acids. A wine worth holding a few years, priced at $20? Buy now, drink after 2020.",d'Arry's Original,91,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2013 d'Arry's Original Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,D'Arenberg,#2D6E8E
+40163,Australia,"This blend of two-thirds Sauvignon Blanc and one-third Semillon gets a touch of barrel aging, reflected in its silky texture more than any overt aromas or flavors. The palate is fruit-forward, offering hints of citrus, underripe nectarine, wet stone and green apple, finishing long and mouthwatering.",Siblings,91,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2015 Siblings Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Leeuwin Estate,#3C4E8A
+40199,Australia,Looking for a medium-bodied Chardonnay with a citrusy edge? Look no further. Peach and lime scents ease into tropical fruit while retaining that zestiness on the finish. Drink now.,Y Series Unwooded,85,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2009 Y Series Unwooded Chardonnay (South Australia),Chardonnay,Yalumba,#440154
+40213,Australia,"Exotic to the point that one wonders whether other varieties have been blended in, with spicy hints of cardamom, cinnamon and clove, followed by ripe melon flavors. At least this is not a bland, neutral effort, although it may have a touch of residual sugar. Drink now.",,84,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Black Swan 2009 Pinot Grigio (South Eastern Australia),Pinot Grigio,Black Swan,#423D84
+40225,Australia,"A joint venture with Champagne Devaux, the Yarrabank Cuvée is a crisp sparkling wine that combines flavors of fresh greens and citrus in a medium-bodied, slightly creamy format. Very clean and fresh, if somewhat simple.",Yarrabank Cuvée,86,28.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Yering Station 2003 Yarrabank Cuvée Sparkling (Victoria),Sparkling Blend,Yering Station,#38578C
+40226,Australia,"Light and fresh, this 100% Chardonnay sparkler features slightly gingery, briny, biscuity aromas and crisp, balanced finish. At the price, the only serious competition is Cava, with its decidedly different flavors.",dB Sparkling Brut,85,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli NV dB Sparkling Brut Sparkling (South Eastern Australia),Sparkling Blend,De Bortoli,#38578C
+40239,Australia,"This is a medium-bodied, somewhat chunky Pinot Noir, but does manage to combine plummy aromas with distinctively Pinot-like sous-bois character. The flavors turn tart and savory, ending on a pomegranate note.",Windy Peak,85,15.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,De Bortoli 2007 Windy Peak Pinot Noir (Victoria),Pinot Noir,De Bortoli,#414286
+40253,Australia,"Parts of Clare Valley are ideal for Cabernet Sauvignon, illustrated by this reasonably priced bottling. Mint and cassis show remarkable purity on the nose, while the palate is properly restrained without being hard or austere. That said, there are some dusty tannins on the finish, so drink 2020–2030.",Blocks Road,91,30.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2013 Blocks Road Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Kilikanoon,#471163
+40262,Australia,"Although sourced from the warm northern end of Barossa, the intention is to make a less bombastic expression of Shiraz, with only 14% new French oak. Mulberry fruit still comes through, accented by hints of coffee, mint and dark chocolate, without too much extraction or tannin. Drink now–2025.",Paradox,91,45.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2013 Paradox Shiraz (Barossa),Shiraz,Yalumba,#471669
+40263,Australia,"Despite coming from a warm, inland region, this shows admirable freshness. Cassis, vanilla, some red-fruit tones and baking spices all come together harmoniously on the medium-bodied palate. It's restrained yet intense, with a long, silky finish. Drink now–2025.",Stomper's Single Vineyard,91,17.0,New South Wales,Riverina,,Joe Czerwinski,@JoeCz,Nugan Family Estates 2013 Stomper's Single Vineyard Cabernet Sauvignon (Riverina),Cabernet Sauvignon,Nugan Family Estates,#471163
+40265,Australia,"This is a terrific value in balanced, ready-to-drink Australian Cabernet. It brings several Bordeaux-ish qualities to the table—medium body, silky tannins and aromas reminiscent of cigar box and Ribena—then adds varietally true flavors and a long finish. Drink now–2025.",The Cover Drive,91,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Jim Barry 2014 The Cover Drive Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Jim Barry,#471163
+40266,Australia,"Made in a savory, ageworthy style, the 2013 Covenant features aromas of tar, espresso and black olive. It adds intriguing red-berry notes on the full-bodied palate, along with dusty tannins that persist through the long finish. Drink 2018–2025.",Covenant,91,40.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2013 Covenant Shiraz (Clare Valley),Shiraz,Kilikanoon,#471669
+40460,Australia,"A boldy flavored, tropical-fruit-laden wine that brings back memories of the late '80s Chards that helped put Australia on America's wine map, for style and price. Amply textured, with mouthwatering peach and mango notes. Drink now.",,85,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Queensgate 2009 Chardonnay (South Eastern Australia),Chardonnay,Queensgate,#440154
+40463,Australia,"This blend of 45% Grenache, 28% Shiraz and 27% Mourvèdre does show a trace of heat in its finish, but is otherwise a pleasant, medium-bodied sipper at a realistic price. Tart, slightly minty cherries feature undercurrents of chocolate and coffee, turning crisp and lemony on the finish. Drink now.",GSM Grenache-Shiraz-Mourvèdre,85,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2008 GSM Grenache-Shiraz-Mourvèdre Red (South Australia),Rhône-style Red Blend,Oxford Landing,#2A768E
+40513,Australia,"This mouth-filling Shiraz features plenty of weight and texture and bold, plummy flavors tinged with mocha and black olive. It'll go great with a charred steak off the grill.",,88,21.0,Victoria,Pyrenees,,Joe Czerwinski,@JoeCz,Taltarni 2009 Shiraz (Pyrenees),Shiraz,Taltarni,#471669
+40520,Australia,"This wine's bright berry notes make it very accessible—the raspberry perfume is virtually irresistible. Those berries are capably framed by cedary elements, but on the palate, the structure of the wine is taut, wiry and crisp. Drink it over the next few years for its fruity appeal.",Art Series,88,35.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2010 Art Series Shiraz (Margaret River),Shiraz,Leeuwin Estate,#471669
+40611,Australia,"Dense and rich, this is a hearty dry red for near-term drinking. Black olive and espresso aromas give way to chocolate and dark berries on the palate, while the finish is velvety and warm.",,89,16.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Thomas Goss 2013 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Thomas Goss,#471163
+40612,Australia,"This wine ticks all the boxes, but just lacks the excitement and drama to take it to the next level. Smoke and vanilla notes add interest to the juicy, easy-to-drink cassis fruit. There's ample but not too much weight on the palate. Supple tannins. Perhaps it just needs additional cellaring time to warrant the price, although it doesn't come across as needing it in the structural sense.",Ashmead Single Vineyard,89,108.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Elderton 2010 Ashmead Single Vineyard Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Elderton,#471163
+40661,Australia,"The De Bortoli family does a solid job with Chardonnay—even this entry-level wine shows some complexity and finesse. Hints of smoke and graphite frame bright pineapple and lime flavors, delivered without excessive weight or richness.",DB Family Selection,85,9.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2013 DB Family Selection Chardonnay (Australia),Chardonnay,De Bortoli,#440154
+40752,Australia,"A tiny bottling (220 cases) of old-vine Grenache, this wine features lovely aromas of cinnamon, clove and ripe cherries. In the mouth it's surprisingly elegant, delivering cherry and spice flavors without excessive weight, ending on a slightly tart note. Drink now and over the next 4–5 years.",Australian Old Vine Collection,90,100.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Gibson's BarossaVale 2005 Australian Old Vine Collection Grenache (McLaren Vale),Grenache,Gibson's BarossaVale,#481C6E
+40919,Australia,"This nicely balanced Barossa Shiraz shows that not all Barossa wines are overweight. Sure, it has the soft, lush tannins and textures of its region, but there's also attractive herbal and savory overtones to the berry fruit.",,90,16.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2006 Shiraz (Barossa),Shiraz,Peter Lehmann,#471669
+40942,Australia,"Broad in the mouth and on the sweet side, this Chardonnay-Pinot Noir blend does offer some attractive gingery notes on the nose, while the flavors favor baked apples.",Brut,82,11.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Silverwing NV Brut  (Australia),Champagne Blend,Silverwing,#30678D
+40993,Australia,"This medium- to full-bodied Shiraz starts off with aromas that suggest cured meats and slightly stewed plums, while the flavors are even meatier, picking up some citrusy notes. Crisp acids accentuate some drying tannins on the finish, giving this wine a somewhat stern demeanor. Imported by McWilliam's of Coonawarra.",Brand's Laira Vineyards,85,28.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,McWilliam's of Coonawarra 2002 Brand's Laira Vineyards Shiraz (Coonawarra),Shiraz,McWilliam's of Coonawarra,#471669
+41207,Australia,"Boysenberry and blueberry notes open this good value, straightforward red. The palate has the slightest grip and the finish is a bit longer than one has a right to expect at this price level.",,84,7.0,Australia Other,South Eastern Australia,,,,Alice White 2007 Merlot (South Eastern Australia),Merlot,Alice White,#24848D
+41208,Australia,"Scents of rapberry, cherry and earth make for a nice begining and lead into some attractive pepperiness on the palate but the finish drops off quickly. The wine's refreshing acidity will pair nicely with spare ribs.",,84,10.0,Australia Other,South Eastern Australia,,,,Bulletin Place 2006 Shiraz (South Eastern Australia),Shiraz,Bulletin Place,#471669
+41214,Australia,"This is nominally a step up from De Bortoli's dB Selection Petite Sirah, but this fresh, directly fruity wine doesn't seem to offer much beyond jammy fruit. It's medium-bodied, with a crisp finish and just a hint of tannic structure. Drink now–2012.",Deen de Bortoli Vat 1,84,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2006 Deen de Bortoli Vat 1 Petite Sirah (South Eastern Australia),Petite Sirah,De Bortoli,#26AC81
+41460,Australia,"Cut grass and grapefruit rind aromas are followed by simple, crisp, citrusy flavors. It's medium in body, with a slightly chalky feel and a clean, refreshing finish.",Are You Game?,86,17.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Fowles Wine 2014 Are You Game? Sauvignon Blanc (Victoria),Sauvignon Blanc,Fowles Wine,#482172
+41478,Australia,"The tart, sour cherry fruit merely serves to support the leathery, earthy, spicy elements; the fruit never really takes charge. That said, the wine does have plenty to offer. The dried-spice aromas are an attractive blend of cracked black pepper, cinnamon and clove the mouthfeel is smooth and rich. Finishs long, with hints of espresso. —J.C.",,87,26.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Punters Corner 1998 Shiraz (Coonawarra),Shiraz,Punters Corner,#471669
+41479,Australia,"Seems heavy on the American oak, displaying lactic, dill-laden aromatics that partially mute the berry fruit underneath. Still, the tart berries come through on the finish—a good sign for the future. Give it a couple of years in the cellar to come together. —J.C.",,87,15.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Wynns Coonawarra Estate 2000 Shiraz (Coonawarra),Shiraz,Wynns Coonawarra Estate,#471669
+41481,Australia,"Despite this wine's heady 14.9% alcohol level, it comes across as only medium-bodied. But the alcohol does show in the warm, slightly boozy and liqueur-like blackberry and chocolate aromas and flavors. Hints of licorice and charcoal add interest. —J.C.",,86,12.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Bleasdale 1999 Cabernet Sauvignon-Shiraz (Langhorne Creek),Cabernet Sauvignon-Shiraz,Bleasdale,#208F8C
+41488,Australia,"This big, rugged 60-40 blend may dry out if cellared too long, so drink it young with rare beef to help tame the substantial tannins. Smoke, dried-herb and black-currant flavors should mesh nicely with your next roast. —J.C.",Graeme's Blend,86,25.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Passing Clouds 1998 Graeme's Blend Shiraz-Cabernet Sauvignon (Bendigo),Shiraz-Cabernet Sauvignon,Passing Clouds,#460B5E
+41489,Australia,"Loaded with earthy espresso and charred wood, this full-bodied Shiraz makes for a chunky mouthful of wine. Black pepper, leather and dried spices round out the flavors. —J.C.",,86,28.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 1999 Shiraz (McLaren Vale),Shiraz,Wirra Wirra,#471669
+41492,Australia,"Attractive aromatics and plenty of complexity are the pluses; the minus is a healthy dose of bell pepper. Smoke, herbs, eucalyptus and sour cherry hang on a claret-style frame. —J.C.",,86,30.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Virgin Hills 1998 Red (Victoria),Red Blend,Virgin Hills,#3F4788
+41493,Australia,"Aptly named, for the oak influence here is strong—a dusty woodiness that's almost cedary. Fortunately, it's well integrated with the full-bodied cherry fruit. Finishes dry, but soft and ripe. —J.C.",,86,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Twelve Staves 2000 Grenache (McLaren Vale),Grenache,Twelve Staves,#481C6E
+41495,Australia,"At two-thirds Grenache and one-third Mourvèdre, this wine comes across full and rich, and a trifle alcoholic. The overall sensation is of a cherry-vanilla sundae smothered in toffee and chocolate—too much of a good thing for some tasters, heaven in a glass to others. —J.C.",Grenache-Mourvedre,86,9.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Tatachilla 1999 Grenache-Mourvedre Red (South Australia),Rhône-style Red Blend,Tatachilla,#2A768E
+41502,Australia,"Tahbilk's Marsanne is always difficult to evaluate young, as it's invariably rather neutral in aroma and flavor. Subtle notes of pear and marshmallow make a fleeting appearance before yielding to crisp, lemony finish. Drink now with oysters, or hold 5–10 years for greater weight, texture and versatility with food.",Estate Grown and Bottled,87,18.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2015 Estate Grown and Bottled Marsanne (Nagambie Lakes),Marsanne,Tahbilk,#228B8D
+41530,Australia,"From a warm, inland region, this is nevertheless a fine value. It's rich and full-bodied without being over the top, offering spice-accented notes of peach, apricot and pineapple. Drink now.",Third Generation,87,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Nugan Family Estates 2015 Third Generation Chardonnay (South Eastern Australia),Chardonnay,Nugan Family Estates,#440154
+41535,Australia,"Ripe grape jelly notes lead this big-boned Shiraz, followed by licorice and dry, brittle oak. The acid and tannins are in balance on the palate, while the oak is a little prominent. Despite that, plenty of juicy fruit follows through to the finish. Drink now–2022.",Palm Block,88,17.0,South Australia,Barossa Valley,,,,Sophie's 2015 Palm Block Shiraz (Barossa Valley),Shiraz,Sophie's,#471669
+41570,Australia,"Cinnamon, clove and cashew notes combine with peach and pineapple to offer a fleshy mouthful of satisfying flavor that only lacks a bit of zest on the finish. Drink now.",Third Generation,86,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Nugan Family Estates 2014 Third Generation Chardonnay (South Eastern Australia),Chardonnay,Nugan Family Estates,#440154
+41589,Australia,"This medium-bodied wine balances pineapple fruit with bright acids and mid-range alcohol. It's a simple, citrusy quaff that finishes crisp and clean. Drink now.",Lucindale,86,16.0,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Di Giorgio Family Wines 2013 Lucindale Chardonnay (Limestone Coast),Chardonnay,Di Giorgio Family Wines,#440154
+41759,Australia,"On top of being made from organically grown grapes, this wine is vegan friendly. Of course, that means nothing unless the wine is good. Thankfully, this wine is excellent. Apricot, honey and ginger notes mingle easily on the palate. Drink this full-bodied, slightly open-knit wine over through 2017.",Made with Organic Grapes,91,17.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2014 Made with Organic Grapes Viognier (South Australia),Viognier,Yalumba,#45347F
+41775,Australia,"This is a full-bodied, creamy-textured wine, bursting with irrepressible fruit. Blueberries take the lead, backed by plums and a lesser amount of raspberry, all accented by hints of cracked pepper, baking spices and vanilla. While delicious already, the wine shows enough richness and length on the finish to warrant keeping through 2025.",,91,37.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Nashwauk 2012 Shiraz (McLaren Vale),Shiraz,Nashwauk,#471669
+41776,Australia,"This is appropriately austere for a young Eden Valley Riesling, offering crisp green apple and lime sensations backed by subtle grace notes of wet stone. The finish is long, mouthwatering and almost painfully tart, suggesting it will fare well in the cellar for up to 10 years.",,91,16.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,St Hallett 2014 Riesling (Eden Valley),Riesling,St Hallett,#443982
+41781,Australia,"This medium-bodied Shiraz represents a solid value. Sourced from 80 growers, it's meant to present a “portrait” of the Barossa region, and it delivers vanilla, plum and black olive aromas and flavors, supple tannins and a lingering mocha finish.",Portrait,89,16.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Peter Lehmann 2014 Portrait Shiraz (Barossa Valley),Shiraz,Peter Lehmann,#471669
+42902,Australia,"Tastes highly confected, with strawberry and raspberry aromas and flavors that come across almost like bubble gum or cotton candy. Dissappointing.",,81,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,RockBare 2007 Shiraz (McLaren Vale),Shiraz,RockBare,#471669
+42933,Australia,"Despite ample alcohol levels and soft tannins, this wine comes across as tart and crisp on the palate, its cola, cherry and vanilla flavors ending on a lemony note.",Omrah,87,20.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Plantagenet 2010 Omrah Pinot Noir (Great Southern),Pinot Noir,Plantagenet,#414286
+42948,Australia,"This Sémillon-dominated blend is made in an easy-to-drink, fruit-forward style, showcasing white peach, melon and fig flavors and a plump, round texture in the mouth. Imported by Margaret River Wines.",,87,18.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Beach Head 2007 Semillon-Sauvignon Blanc (Margaret River),Semillon-Sauvignon Blanc,Beach Head,#3A538B
+42954,Australia,"With only 10% Shiraz, this wine shows off the exuberant fruit and supple tannins of Grenache. Blackberry and raspberry fruit is mildly tart, spiced with a dusting of cinnamon and cocoa. Good length on the finish marks this casual sipper with a touch of extra quality. Drink now–2010.",Colton's,87,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Richard Hamilton 2005 Colton's Grenache-Shiraz (McLaren Vale),Grenache-Shiraz,Richard Hamilton,#35B778
+43061,Australia,"This is a potent, rich Shiraz. It's full bodied and thickly textured, with aromas and flavors of mocha, asphalt and plum. The overall impression is somewhat chunky and inelegant but undeniably concentrated. Give it five years or so to smooth out some of the rough edges.",Piggot Range,90,110.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2008 Piggot Range Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+43065,Australia,"This wine starts off with notes of blackberry, mint and asphalt on the nose, unfurling on the tongue to reveal tar, black olive, meat and blackberry flavors. It's full bodied and intense, even a bit warm on the finish. Impressively concentrated, but slightly bitter as well.",Oracle,89,70.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2008 Oracle Shiraz (Clare Valley),Shiraz,Kilikanoon,#471669
+43190,Australia,"This medium-bodied Chardonnay is more restrained than the 2013, but still offers plenty of roasted-cashew toastiness combined with hints of pineapple and guava. The finish is clean and refreshing, but doesn't show the hoped-for length, so drink this over the near term.",,90,200.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cloudburst 2012 Chardonnay (Margaret River),Chardonnay,Cloudburst,#440154
+43195,Australia,"Brian Croser's efforts with Tiers Vineyard Chardonnay have finally paid off in a big way. This is a plump, amply textured wine that doesn't lack for elegance, marrying scents and flavors of toasted grain with white peaches and hazelnuts. Long and intense on the finish, echoing with toasty oak but also layers of vibrant fruit. Drink now–2015.",Tiers Vineyard,93,70.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,TapaNappa 2006 Tiers Vineyard Chardonnay (South Australia),Chardonnay,TapaNappa,#440154
+43238,Australia,"This wine shows ripe dark fruit, cedar, intense whole-bunch stalkiness and a perfumed quality throughout. The tannins are clunky and soapy while the alcohol feels a little hot.",,87,25.0,South Australia,McLaren Vale,,,,5OS Project 2014 Malbec (McLaren Vale),Malbec,5OS Project,#39B976
+43377,Australia,"Sweet and simple, tastes like that syrup they pack canned peaches in, except of course it has good acidity. Make that super acidity, which is its saving grace. The acids get up under the fruit and push it, saving the wine from being insipid. —S.H.",Y Series,84,10.0,South Australia,South Australia,,,,Yalumba 2000 Y Series Viognier (South Australia),Viognier,Yalumba,#45347F
+43380,Australia,"Simple, sweet-tasting and slightly candied, this bouncy drink is best served slightly chilled. Think of it as an introduction to wine—something to explore after white Zinfandel. —J.C.",Grenache-Shiraz,83,9.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Rosemount 2001 Grenache-Shiraz Red (Australia),Red Blend,Rosemount,#3F4788
+43386,Australia,"This wine seemed better a vintage or two ago. Fortunately, it's still a nice easy-drinking Shiraz with grape and blackberry fruit, some dried spices and a hint of black pepper. —J.C.",,83,17.0,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Greg Norman Estates 1999 Shiraz (Limestone Coast),Shiraz,Greg Norman Estates,#471669
+43390,Australia,"If there's nothing special to recommend here, there's also nothing awry. Leather and earth join modest tart berry flavors. Finishes dry and tough; it's an austere wine that probably needs food to come alive. —J.C.",Bobbie Burns,83,20.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Campbells 1998 Bobbie Burns Shiraz (Rutherglen),Shiraz,Campbells,#471669
+43392,Australia,"A light, smooth quaffer that'll get you through the summer, this blend of 71% Shiraz and 29% Cabernet Sauvignon boasts aromas and flavors of charcoal-grilled black cherries tinged with chocolate. —J.C.",,83,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2000 Shiraz-Cabernet Sauvignon (South Eastern Australia),Shiraz-Cabernet Sauvignon,Jacob's Creek,#460B5E
+43393,Australia,"Smells dry and dusty, like a midwestern country lane in August. The fruit comes through in the mouth, filling it with bright red berries and cherries, while touches of ground black pepper and vanilla oak show up on the finish. —J.C.",Thomas,83,22.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Macquariedale 1999 Thomas Shiraz (Hunter Valley),Shiraz,Macquariedale,#471669
+43397,Australia,"This is a bigger, more forceful wine than its Lindemans stablemate, but not quite as charming. The flavors are earthy and dark, featuring hints of cola and root beer. Finishes with drying tannins. —J.C.",Diamond Label,83,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Rosemount 2001 Diamond Label Pinot Noir (South Eastern Australia),Pinot Noir,Rosemount,#414286
+43416,Australia,"This wine, which comes from thin, granitic soils, is lean, taut and dry. Hints of lime blossom and green apple on the nose and palate give it a springtime feel, while the finish is crisp and refreshing.",Ladies Who Shoot Their Lunch,89,35.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Fowles Wine 2014 Ladies Who Shoot Their Lunch Riesling (Victoria),Riesling,Fowles Wine,#443982
+43426,Australia,"Year after year, IB bottles sunshine and fun in the form of this lightly sparkling, sweet pink wine. It's unabashedly exuberant, flashing floral aromas, then adding hints of Mexican chocolate, red berries and orange zest. There's just enough acid and fizz to keep it from being cloying on the palate.",,89,14.0,Victoria,Swan Hill,,Joe Czerwinski,@JoeCz,Innocent Bystander 2015 Moscato (Swan Hill),Moscato,Innocent Bystander,#2F6A8D
+43613,Australia,"This will likely prove a bit too vegetal for some, as the aromas hint at asparagus. But there's pineapple and honey on the palate and decent weight in the mouth.",The Broken Fishplate,84,17.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2015 The Broken Fishplate Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,D'Arenberg,#482172
+43777,Australia,"JC is making an effort to upgrade its Reserve range, and this is a good example, offering peach and pineapple flavors framed by vanilla, butter and toast. It's all barrel-fermented, impressive at this production level (25,000 cases) and price point.",Reserve,87,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2006 Reserve Chardonnay (South Australia),Chardonnay,Jacob's Creek,#440154
+44060,Australia,"Rich and intense but also round and soft. A horsey note adds complexity and rusticity to the dark chocolate, leather and black cherry aromas and flavors. —J.C.",Boundary Row,88,18.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kurtz Family 2000 Boundary Row Grenache (Barossa Valley),Grenache,Kurtz Family,#481C6E
+44063,Australia,"This is a thick, ripe Aussie red in which you can stand up a fork. The bold blackberry, vanilla, black pepper and dark earth flavors are not about finesse or elegance; this is stick-to-your-ribs stuff. Best Buy. —J.C.",Breakneck Creek,88,9.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Tatachilla 2000 Breakneck Creek Shiraz (South Australia),Shiraz,Tatachilla,#471669
+44310,Australia,"This oddball blend of 55% Sauvignon Blanc and 20% Chardonnay (both fermented in oak) and 25% Riesling (fermented in steel) actually works reasonably well. The nose is a blend of lime and peach, and despite the oak treatment, this medium-bodied wine is fruit driven, lithe and long.",,88,25.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,5OS Project 2013 White (South Australia),White Blend,5OS Project,#32638D
+44435,Australia,"This is a ripe, supple wine, to the point that the dark fruit aromas feature a bit of a lifted quality. There's chocolate and a bit of plum, and a gently dusty finish that hints at mocha. Drink now–2020.",,90,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kangarilla Road 2014 Shiraz (McLaren Vale),Shiraz,Kangarilla Road,#471669
+44459,Australia,"Its pale-gold color gives this rich, oaky style away. Lemon, green papaya, mint, nuts and wet stone all mingle with tongue-tingling acidity. The palate is on the lean and mean side at the moment, and the oak sticks out too, but there's a redeeming smokey, mineral finish and the hope that all will settle with time. Drink now–2025.",Miamup,89,25.0,Western Australia,Margaret River,,,,Howard Park 2016 Miamup Chardonnay (Margaret River),Chardonnay,Howard Park,#440154
+44467,Australia,"In a sea of dense, dark-fruited Barossa Shiraz, it can be a refreshing change to find something with a little more elegance and high fruit tones, even if the aromas venture a slightly into soap territory. Ripe strawberry mingles with baking spices, Dr. Pepper and a savory note. The tannins are tongue-gripping but balanced by a nice acidity and a herbal character on the finish. Drink now–2025.",,89,20.0,South Australia,Barossa Valley,,,,Schild Estate 2015 Shiraz (Barossa Valley),Shiraz,Schild Estate,#471669
+44469,Australia,"As the entry-level Chardonnay from one of Margaret River's most highly lauded producers, this has a creamy opulence to it, with notes of buttercups, lemon drops and toasty oak. The palate is of medium weight, with a viscous texture and a good lick of acidity to keep things fresh, but the oak is a little flashy, particularly on the finish.",Filius,89,27.0,Western Australia,Margaret River,,,,Vasse Felix 2016 Filius Chardonnay (Margaret River),Chardonnay,Vasse Felix,#440154
+44470,Australia,"This wine starts shy but after some swirling reveals broody black cherry, raspberry, dark chocolate, Chinese Five Spice, and some medicinal notes in the background. Medium to full bodied, it's well balanced, with soft tannins and a short finish. Drink with beef stir fry.",,89,20.0,South Australia,Barossa Valley,,,,3 Rings 2015 Shiraz (Barossa Valley),Shiraz,3 Rings,#471669
+44534,Australia,"Yalumba pioneered Viognier in Australia and the current crop of wines testifies to the company's efforts. This bottling is full bodied and rich to the point of being slightly oily on the palate, where it delivers bold flavors of honey, apricot and grilled pineapple. Drink now.",,91,19.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Yalumba 2013 Viognier (Eden Valley),Viognier,Yalumba,#45347F
+44542,Australia,"This blends fruit from two vineyards, one 80-plus years old, the other 120-plus, then adds ample oak. Cedar, vanilla and plum lead the way, with brighter notes of raspberry emerging with time in the glass. It's not overly extracted or tannic, with a slight creaminess to the texture and an admirably long, supple finish. Drink now–2025.",Old Vine Reserve Release,90,43.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Cape Barren 2010 Old Vine Reserve Release Shiraz (McLaren Vale),Shiraz,Cape Barren,#471669
+44543,Australia,"This is a supple, creamy-textured Shiraz to enjoy through 2020. Red-fruit notes of strawberry and raspberry marry easily with dark hints of plum and mocha, then linger gently on the finish.",Sneaky,90,15.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Killibinbin 2013 Sneaky Shiraz (Langhorne Creek),Shiraz,Killibinbin,#471669
+44826,Australia,"You might not know it from the name, but this is a bit of a critter wine, as Bulldozer is a nickname for the hairy-nosed wombat. In any event, it's a step up from much of the competition, offering sturdy cassis flavors tinged with pepper and herbs and a clean, mouthwatering finish. Imported by MHW, Ltd.",Nelwood Station Bulldozer,86,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Nelwood Wines 2004 Nelwood Station Bulldozer Red (South Australia),Red Blend,Nelwood Wines,#3F4788
+44941,Australia,"This medium-bodied Shiraz features plenty of spicy complexity and creamy-soft tannins, making it ideal for current consumption. Cedar, vanilla and spice accent raspberry fruit and linger elegantly on the finish.",,88,25.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Celestial Bay 2004 Shiraz (Margaret River),Shiraz,Celestial Bay,#471669
+45031,Australia,"A tip of the cap to the Angove family for turning out such an ageworthy wine. It's packed and stacked with mulberry fruit, lashings of vanilla and just a hint of mint. Full-bodied and tannic, it should drink well from 2020–2030.",The Medhyk Old Vine,94,95.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2012 The Medhyk Old Vine Shiraz (McLaren Vale),Shiraz,Angove,#471669
+45074,Australia,"Always difficult to evaluate young, Steingarten Rieslings typically take several years to even begin opening up and revealing their true charms. This one is bone-dry and medium-bodied, offering austere mineral and lime aromas and flavors. Cellaring through 2015 will undoubtedly be rewarded, and perhaps this rating will appear stingy at that time.",Steingarten,87,28.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Jacob's Creek 2006 Steingarten Riesling (Barossa),Riesling,Jacob's Creek,#443982
+45078,Australia,"From its slight tinge of copper this wine appears to have had some skin contact, and perhaps that can account for it's almost Pinot Noir-like aromas of strawberries and sous bois. Stone fruit and citrus flavors are round on the palate, then finish fresh and vibrant, underscored by crisp acidity. Drink now.",,87,16.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Marlargo 2006 Pinot Grigio (Adelaide Hills),Pinot Grigio,Marlargo,#423D84
+45147,Australia,"A pleasant, medium-bodied Shiraz that features piles of ripe berries alongside a touch of rhubarb-like herbaceousness. Reasonably concentrated and long; turns crisp on the finish.",,86,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,2 Up 2008 Shiraz (South Australia),Shiraz,2 Up,#471669
+45169,Australia,"A simple, fruity quaffer, this is almost confected in its rush of red currants and cherries, yet stays balanced thanks to crisp acidity and a clean, fresh finish. Drink it over the next year or two.",Next of Kin,85,13.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Xanadu 2007 Next of Kin Shiraz (Margaret River),Shiraz,Xanadu,#471669
+45282,Australia,"Penley's Reserve Cabernet sees 100% new French oak, but handles it well, blending coffee and brown sugar elements with fruitier notes of plum and a hint of mint. It's full-bodied and lushly textured, with smoky, cedary oak wrapped around a core of dark fruit. Drink now–2016.",Reserve,92,50.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2006 Reserve Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Penley Estate,#471163
+45358,Australia,"Paler than typical for Australian rosés, this is more in the style of southern France. It's light to medium in weight, with a crisp, refreshing feel and bright berry and lime zest flavors. Drink now.",Mathilda,88,15.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Tournon by Michel Chapoutier 2015 Mathilda Rosé (Victoria),Rosé,Tournon by Michel Chapoutier,#450558
+45360,Australia,"Turkey Flat's rosé has been an Aussie staple for more than decade. The 2015 is 92% Grenche, with the balance a blend of Cabernet Sauvignon, Shiraz, Dolcetto and Mataro. Crushed stone and red berry scents lead the way, followed by flavors that are reminiscent of white chocolate and strawberries. It's fairly weighty for a rosé, with a long, slightly viscous finish.",,88,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2015 Rosé (Barossa Valley),Rosé,Turkey Flat,#450558
+45428,Australia,"The 2008 Liandra comes across as slightly more savory than the other Clarendon Hills bottlings, displaying pungent notes of coffee, black olives, scorched earth and cracked pepper. The tannins are supple, giving this medium- to full-bodied wine an easy-drinking smoothness. Drink now–2020.",Liandra,91,60.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2008 Liandra Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+45466,Australia,"After 21 months in 50% new French oak and a few years in bottle, this Shiraz (it contains traces of Mataro, Viognier and Marsanne) is dominated on the nose by graham crackers and vanilla. The fruit surges forward on the palate, bringing plummy, meaty flavors to the fore. This is fuller bodied than most Yarra Valley Shirazes, with a plush mouthfeel and a long, warm, spicy finish.",Dry Red Wine No. 2,93,90.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2010 Dry Red Wine No. 2 Shiraz (Yarra Valley),Shiraz,Yarra Yering,#471669
+45470,Australia,"This is a dry, fairly full-bodied Riesling that's approachable now, but should hold well through at least 2024. It's fairly dark in hue for a young white wine, with smoky notes of grilled toast, honey and citrus that linger on the lip-smacking finish.",Georgia's Paddock,93,37.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Jasper Hill 2014 Georgia's Paddock Riesling (Heathcote),Riesling,Jasper Hill,#443982
+45472,Australia,"The Art Series' little brother is all grown up and ready to stand on its own as a terrific wine. Toasted hazelnuts accent bold pineapple and ripe citrus flavors in this full-bodied, slightly creamy bottling. It's complete and complex, with a long, zesty finish. Drink now–2020.",Prelude Vineyards,93,36.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2014 Prelude Vineyards Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+45661,Australia,Imported by Lion Nathan USA.,No. 19,86,20.0,New South Wales,Orange,,Joe Czerwinski,@JoeCz,Philip Shaw 2007 No. 19 Sauvignon Blanc (Orange),Sauvignon Blanc,Philip Shaw,#482172
+45720,Australia,"Pretty aromas of blueberries and raspberries adorn the nose, leading into a palate of mixed berries and chocolate. This wine, which is in the medium- to full-bodied category, has a silky mouthfeel, ending in a fine dusting of cocoa powder.",Snake Charmer,90,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Vinaceous 2013 Snake Charmer Shiraz (McLaren Vale),Shiraz,Vinaceous,#471669
+45746,Australia,"This medium-bodied Shiraz isn't as dark or concentrated as many of its brethren, but it still makes for an enjoyable drink. Cracked pepper notes take the lead, followed by modest red-berry fruit and a crisp finish.",Ladies Who Shoot Their Lunch,90,35.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Fowles Wine 2012 Ladies Who Shoot Their Lunch Shiraz (Victoria),Shiraz,Fowles Wine,#471669
+45749,Australia,"A straightforward, moderately priced Chard, with characteristic golden apple and toast notes from start to finish. A good wine, but those averse to wood should steer clear.",,84,20.0,South Australia,Eden Valley,,,,Heggies Vineyard 2000 Chardonnay (Eden Valley),Chardonnay,Heggies Vineyard,#440154
+45753,Australia,"Though it's 100% Chardonnay, this wine doesn't taste particularly Chard-like: it has light floral and stone fruit notes more akin to a Riesling. It's a lightweight in the mouth, rounded out by a little creaminess. A decent, economical choice to quaff on a hot day.",,84,7.0,Australia Other,South Eastern Australia,,,,Blue Tongue 2002 Chardonnay (South Eastern Australia),Chardonnay,Blue Tongue,#440154
+45755,Australia,"A simple but good wine, with toast and golden apple flavors. Has nice apple and olive oil aromas, and a mouth-puckering herb and white pepper finish.",,84,12.0,South Australia,South Australia,,,,Wolf Blass 2001 Chardonnay (South Australia),Chardonnay,Wolf Blass,#440154
+45757,Australia,"This Chard is smooth in the mouth, with white stone fruit on the palate, plus white pepper and mineral notes that extend through the finish. What's here is pleasant enough, but more of these good things wouldn't hurt.",,83,7.0,South Australia,South Australia,,,,Cockatoo Ridge 2001 Chardonnay (South Australia),Chardonnay,Cockatoo Ridge,#440154
+45763,Australia,"Yellow fruit dominates the palate, which also has an unusual powdery mouthfeel. The yellow fruit on the finish is a little dilute. Nose is smoky, almost barbecuey, with a petrol note.",,83,35.43766346992153,South Australia,Eden Valley,,,,Antipodean 1999 Chardonnay (Eden Valley),Chardonnay,Antipodean,#440154
+45767,Australia,"Fans of toast, butterscotch and butter will gulp this down happily, but these reviewers are sad to see the wine's fruit get lost beneath it all. Finishes like caramel candy; smells like buttered whole wheat toast. Will certainly have its appeal, but we'd like to see the fruit center stage next vintage.",Reserve,83,16.0,South Australia,Limestone Coast,,,,Heathfield Ridge 2000 Reserve Chardonnay (Limestone Coast),Chardonnay,Heathfield Ridge,#440154
+45809,Australia,"The 2007 Astralis impresses for its combination of power and nuance. It's dark and almost tarry in concentration, but floral and bright at the same time. Layers of dark coffee and earth are balanced by red fruit, and although it's full bodied and rich in texture, the finish introduces delicately herbal, tea-like notes. Best from 2014–2025.",Astralis,95,225.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2007 Astralis Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+45940,Australia,"Concentrated and intense, this wine features a potent whack of oak on the nose, with dark fruit and mocha overtones. There are enough hints of bright, raspberry-tinged fruit to warrant optimism about its aging trajectory, but at the moment it is dark, heavy and slightly scorched. Try after 2017.",The Dead Arm,90,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Dead Arm Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+46042,Australia,"Tempranillo could be an interesting variety in South Australia going forward. This rosé features hints of sous bois and cherries on the nose, then adds melon and spice notes on the palate. It's plump in the mouth, then finishes on a dry, silky note.",Luna de Fresca Biodynamic Tempranillo,88,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Gemtree 2016 Luna de Fresca Biodynamic Tempranillo Rosé (McLaren Vale),Rosé,Gemtree,#450558
+46201,Australia,"Comes out of the chute a bit tarry and rubbery, but seems to come around with some time in the glass, offering a lush, dense texture and flavors of coffee and black olive that finally show some berry shadings on the finish.",,88,21.0,South Australia,McLaren Vale,,,,Revolution 2006 Shiraz (McLaren Vale),Shiraz,Revolution,#471669
+46212,Australia,"There is 8g/L of residual sugar, so some tasters might object to a hint of sweetness, but others will just find it helps to accentuate the wine's fruit-forward nature. Pear and fig flavors pick up some honeyed stone fruit notes on the palate but this is nicely balanced and easy to drink.",Poacher's Blend,87,12.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,St Hallett 2006 Poacher's Blend Semillon-Sauvignon Blanc (Barossa),Semillon-Sauvignon Blanc,St Hallett,#3A538B
+46221,Australia,"A creamy-textured, medium-bodied wine, this entry-level offering from Hungerford Hill offers scents of coffee and mixed spices alongside earthier notes. Blackberry and pepper flavors fade slowly on the finish, revealing slightly dusty tannins—just enough to cut through the fat of a juicy hamburger.",Fishcage,87,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Hungerford Hill 2005 Fishcage Shiraz-Viognier (South Eastern Australia),Shiraz-Viognier,Hungerford Hill,#462F7C
+46374,Australia,"A lovely, complex example of why McLaren Vale Grenache deserves more of our attention. Like the last days of summer, this wine smells of drying flowers still on their stalks. Tart cherries, dried leaves, and medicinal herbs come through on the palate, which finishes smokey, like the dying embers of the last barbecue of the season.",Basket Pressed Amery Vineyard,91,40.0,South Australia,McLaren Vale,,,,Kay Brothers 2015 Basket Pressed Amery Vineyard Grenache (McLaren Vale),Grenache,Kay Brothers,#481C6E
+46400,Australia,"Features an impresive array of tropical fruit aromas and flavors, all delivered in a soft, round, mouthfilling style. It's easy to drink and easy to like. Imported by International Cellars.",Nottage Hill,85,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Hardys 2006 Nottage Hill Chardonnay (South Eastern Australia),Chardonnay,Hardys,#440154
+46446,Australia,"This richly textured Coonawarra Cabernet displays typical notes of cassis, accented by ample cedar and mocha shadings. It's fairly full bodied, with a long, velvety finish; drink it over the next 4–5 years.",The Cover Drive,89,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Jim Barry 2009 The Cover Drive Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Jim Barry,#471163
+46459,Australia,"A charmingly complex medium-weight red, with raspberry fruit, peppery spice and dark chocolate notes all coated in a soft, fine dusting of tannins. Drink now–2014.",The Chook,89,19.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Woop Woop 2009 The Chook Shiraz-Viognier (South Australia),Shiraz-Viognier,Woop Woop,#462F7C
+46602,Australia,"This full-bodied, creamy-textured Shiraz from the Lyndoch subregion of the Barossa starts off with vanilla, raspberries and a dusting of confectioner's sugar, but turns darker and more savory with air, adding dark berry and hickory notes. The long finish is richly textured, yet simultaneously marked by crisp acids.",Miamba,92,28.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Grant Burge 2009 Miamba Shiraz (Barossa),Shiraz,Grant Burge,#471669
+46615,Australia,"Herbal, peppery and high-toned, with hairspray notes that detract from the ample blackberry and plum flavors. Disappointing.",Emily's Paddock Shiraz-Cabernet Franc,84,125.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Jasper Hill 2004 Emily's Paddock Shiraz-Cabernet Franc Red (Heathcote),Red Blend,Jasper Hill,#3F4788
+46617,Australia,"A medium-bodied red blend that will go with just about anything a weeknight meat-based dinner might entail, this wine offers hints of smoke and charred wood to go with plummy fruit and a tart, tangy finish. Drink now.",Merlot - Cabernet Sauvignon - Shiraz,84,13.0,Victoria,Murray-Darling,,Joe Czerwinski,@JoeCz,Tall Poppy 2005 Merlot - Cabernet Sauvignon - Shiraz Red (Murray-Darling),Red Blend,Tall Poppy,#3F4788
+46622,Australia,"Offers a mishmash of aromas that include plenty of woody notes like vanilla and toast as well as cherry fruit. The result in the mouth comes across as slightly medicinal, with cherry and menthol flavors that turn tangy on the finish. Imported by Walca International.",,84,12.0,South Australia,Adelaide Plains,,Joe Czerwinski,@JoeCz,Red Earth 2004 Merlot (Adelaide Plains),Merlot,Red Earth,#24848D
+46741,Australia,"Impressively silky for the price, this blend of Cabernet Sauvignon (53%), Shiraz (35%), Petit Verdot (7%) and Malbec (5%) is a bargain that should be easy enough to find, with 10,000 cases imported. Toasty oak and vanilla notes frame mixed berries and olives, marrying sweet and savory elements into a pleasing, medium-bodied red for early consumption.",Langhorne Crossing,87,10.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Bleasdale 2008 Langhorne Crossing Red (Langhorne Creek),Red Blend,Bleasdale,#3F4788
+46784,Australia,"Hews closely to the Dutschke style: Full and soft, with slightly jammy dark cherry-berry notes accented by cedar and Mexican chocolate. This is a velvety, immediately accessible Shiraz for relatively early drinking, delivered at a remarkably fair price.",Four Vineyards Gods Hill Road Lyndoch,91,30.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Dutschke 2006 Four Vineyards Gods Hill Road Lyndoch Shiraz (Barossa Valley),Shiraz,Dutschke,#471669
+46788,Australia,"The 2007 Hickinbotham comes across as tight and in need of additional cellaring. Right now, it's showing only some subtle oak and spice framing dark fruit and earthy, savory notes. With its apparent richness and depth, give it until 2015 or so to come around, then drink it over the next 10 years.",Hickinbotham,91,75.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2007 Hickinbotham Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+46833,Australia,"Combines smoky, slightly acrid aromas with pretty strawberry scents and then piles juicy berries onto the palate. Finishes tart with hints of smoke and wood. For summer grilling at home, this is a pretty good choice. Best Buy.",,86,7.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail 2001 Shiraz (South Eastern Australia),Shiraz,Yellow Tail,#471669
+46834,Australia,"The Yarra Valley's relatively cool climate really shows through in this wine's smoky, herbal nuances, which sometimes threaten to take over from the primary cherry fruit. It's lean, more in the Rhône style, and finishes with tart cherries and hints of meaty portobello mushrooms. —J.C.",,86,22.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 1999 Shiraz (Yarra Valley),Shiraz,Yering Station,#471669
+46879,Australia,"Fresh mint and cracked pepper accent dark plummy fruit on the nose, picking up hints of dark chocolate and black olive on the palate. It's full bodied, creamy in feel and loaded with supple tannins, which make the wine approachable now, but should sustain it through at least 2025.",Reserve,94,83.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Fox Creek 2013 Reserve Shiraz (McLaren Vale),Shiraz,Fox Creek,#471669
+46891,Australia,"Winemaker Virginia Willcock has taken Vasse Felix's top Chardonnay to extraordinary heights this year. Chardonnay yields in the region were down, and this wine reflects an extra level of concentration and power as a result. Grilled peaches and tangerines provide ample flesh, yet the wine remains focused and refreshing through the long, mouthwatering finish. Drink now–2025.",Heytesbury,94,69.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2015 Heytesbury Chardonnay (Margaret River),Chardonnay,Vasse Felix,#440154
+46915,Australia,"This rivals good Champagne in its toasty, buttery-brioche richness, then adds cashew and citrus for an assertive blast of balanced flavor. Drink this fine vintage sparkler over the next 10 years or so.",Vintage Cuvée,93,44.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Jansz 2010 Vintage Cuvée Sparkling (Tasmania),Sparkling Blend,Jansz,#38578C
+46923,Australia,"A terrific value, this offers a surprising amount of varietal character for the price. Ripe apricot and nectarine elements give a weighty impression on the palate, while grapefruit prolongs the warm, round finish. Drink now.",The Y Series,89,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2015 The Y Series Viognier (South Australia),Viognier,Yalumba,#45347F
+46934,Australia,"This light- to medium-bodied sparkler is a blend of 77% Chardonnay and 23% Pinot Noir. It's from an area not known for bubbles, but makes for a crisp, refreshing drink. Toasty notes blend easily with modest citrus, finishing almost dry.",Vera's Cuvée Méthode Traditionnelle,88,25.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Mad Fish NV Vera's Cuvée Méthode Traditionnelle Sparkling (Western Australia),Sparkling Blend,Mad Fish,#38578C
+46937,Australia,"More restrained than the slightly fuller 2013, this Semillon is a bit quiet on the nose, but shows toasted hazelnut, white peach and melon notes on the palate. Give it another few month to smooth out the rough patches on the finish, but plan to drink up by the end of 2018.",Woodcutter's,88,19.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2014 Woodcutter's Semillon (Barossa Valley),Sémillon,Torbreck,#2C728E
+47085,Australia,"Made in a crisp linear style, this is picked at a modest level of ripeness. The result is a relatively low alcohol wine, but one that lacks generosity, instead offering one-dimensional notes of tart grapefruit that linger on the finish.",,85,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2016 Vermentino (South Australia),Vermentino,Yalumba,#69CC5B
+47125,Australia,"Moderate alcohol leaves the palate feeling refreshed sip after sip, while the flavors remain concentrated enough to please and last. This wine brings elements of cracked green peppercorns, tart cherries and wood ash, while the finish picks up notes of chocolate and displays a silky, tea-like texture. Drink now–2025.",,91,80.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yeringberg 2012 Shiraz (Yarra Valley),Shiraz,Yeringberg,#471669
+47126,Australia,"A fine effort, this is full bodied and creamy in texture. High alcohol buoys the mulberry fruit, while hints of cedar, mocha and smoke add nuance. It's slightly warm and peppery on the finish, a pleasing finale to a mouthfilling wine.",,91,70.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Alpha Crucis 2012 Shiraz (McLaren Vale),Shiraz,Alpha Crucis,#471669
+47202,Australia,"Seems prematurely aged, with slight bricking already apparent at the rim and leafy, tomatoey aromas and flavors. Not bad, just old before its time.",Treehouse Cabernet Sauvignon-Merlot-Cabernet Franc,82,20.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Salitage 2005 Treehouse Cabernet Sauvignon-Merlot-Cabernet Franc Red (Pemberton),Bordeaux-style Red Blend,Salitage,#1F938B
+47314,Australia,"Very true to the variety, with ample servings of cedar, tobacco and cassis, plenty of weight and a firm structure that bodes well for aging. Best from 2010-2020.",The Coppermine Road,91,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The Coppermine Road Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,D'Arenberg,#471163
+47321,Australia,"New Zealand Sauvignon Blanc is the leading imported wine in Australia, which has led domestic wineries to redouble their efforts at the variety. This bargain-priced example features fig and citrus notes underscored by a slight herbaceousness, even some red currant flavors. It's round in the mouth without being overly broad, ending with mouthwatering citrus flavors. Drink now.",,90,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Four Sisters 2008 Sauvignon Blanc (South Eastern Australia),Sauvignon Blanc,Four Sisters,#482172
+47577,Australia,"California winemaker Ehren Jordan contributed to the making of this wine in partnership with Australian Bernard Hickin, hence the Two Lands moniker. It's a solid wine for the price, delivering subtle toasted-grain notes, vanilla and citrus custard flavors and a reasonably full, creamy texture. Drink now.",Two Lands,88,15.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2014 Two Lands Chardonnay (Australia),Chardonnay,Jacob's Creek,#440154
+47854,Australia,"This is a prime example of how blending Cabernet and Shiraz can benefit both. The Shiraz provides texture and amplitude, the Cabernet soaring cassis aromas and length on the finish. Smoky mocha-tinged oak frames that impressive velvety fruit, only slowly fading away. Drink 2018–2030.",,93,40.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2012 Shiraz-Cabernet Sauvignon (Padthaway),Shiraz-Cabernet Sauvignon,Henry's Drive Vignerons,#460B5E
+47967,Australia,"Starts off rather Rhônish, with hints of white pepper and grilled meat, then offers tart cherry fruit on the palate, accented by those same savory elements. The tannins are modest but silky, and the acids turn up while the flavors thin out just a bit on the finish. Drink now–2014.",Cliff Edge,87,18.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Mount Langi Ghiran 2004 Cliff Edge Shiraz (Victoria),Shiraz,Mount Langi Ghiran,#471669
+47973,Australia,"This blend of Petit Verdot (40%), Grenache (29%), Shiraz (29%) and Mataro (2%) ends up being a pleasing recipe at an even more pleasing price. Mulberry, plum and vanilla flavors emerge from the glass, while the mouthfeel is full and lush. Probably best over the next year or so.",Ass Kisser Fine Red Wine,87,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Rocland Estate 2007 Ass Kisser Fine Red Wine Red (South Australia),Red Blend,Rocland Estate,#3F4788
+48145,Australia,"This bright pink-ruby rosé features attractive aromas of watermelon rind and cherries. It's medium in body, fresh and vibrant on the palate, bursting with crunchy fresh fruit reminiscent of raspberries and cherries. Drink now.",,91,21.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Hentley Farm 2016 Rosé (Barossa Valley),Rosé,Hentley Farm,#450558
+48284,Australia,"Jim Barry's Cab program is on a roll, turning out a consistent set of wines from Clare and Coonawarra. Named in honor of the Australian cricket team, The First Eleven boasts a kaledioscopic range of berry fruit, accented by mint and darker notes of coffee, cocoa and cola. It's full-bodied and dense on the palate without being heavy, and finishes long, with impressive intensity and dusty tannins. Drink now–2020.",First Eleven,92,60.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Jim Barry 2005 First Eleven Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Jim Barry,#471163
+48285,Australia,"Perhaps better known for its Chardonnay, Leeuwin also makes an Art Series Cabernet that takes a back seat to no one. The 2002 still boasts youthful scents of fresh mint and cassis, then slowly unfolds on the palate to reveal a rich, full-bodied wine with a distinctly ripe, creamy texture. Long and powerful on the finish, with 10 or so years ahead of it.",Art Series,92,45.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2002 Art Series Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Leeuwin Estate,#471163
+48475,Australia,"On the same quality level as its wooded counterpart, this Chardonnay shows modestly intense aromas, but plenty of pear and melon flavor. Easy to drink.",Unwooded,86,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Tall Poppy 2006 Unwooded Chardonnay (South Eastern Australia),Chardonnay,Tall Poppy,#440154
+48477,Australia,"Aromas of buttered toast and roasted nuts lead the way, but they're bolstered by ample pineapple and citrus flavors on the palate. Full-bodied, with a soft, easy-drinking finish.",Yellow Label,86,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wolf Blass 2006 Yellow Label Chardonnay (South Australia),Chardonnay,Wolf Blass,#440154
+48583,Australia,"Tasting young Hunter Semillons is fraught with peril, as often the wines that taste shrillest when young blossom nicely with age. In this case, the wine is five years past the vintage but still seems rather vegetal, showing ample green bell-pepper notes alongside tart citrus flavors.",Oakey Creek,85,32.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2008 Oakey Creek Semillon (Hunter Valley),Sémillon,Brokenwood,#2C728E
+48640,Australia,"Well done Shiraz, carefully made and judiciously oaked, with vanilla and cedar accenting blackberry, plum and black olive flavors. It's moderately tannic on the finish, where it adds some coffee-like nuances as well. Drink 2010–2018.",,90,35.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Taltarni 2005 Shiraz (Heathcote),Shiraz,Taltarni,#471669
+48644,Australia,"As the name suggests, this is a big wine (15.7% alcohol), but in this year the wine handles it well, balancing that weight with bold flavors of blackberry, vanilla, chocolate and cinnamon. Finishes tart and juicy, with coffee and olive shadings.",The Ball Buster,90,17.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Tait Wines 2006 The Ball Buster Shiraz (Barossa Valley),Shiraz,Tait Wines,#471669
+48694,Australia,"This is a light- to medium-bodied Shiraz with a bright profile of juicy red berries and just a hint of chocolate, turning rather crisp on the finish. Drink now.",,84,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Queensgate 2009 Shiraz (South Eastern Australia),Shiraz,Queensgate,#471669
+48788,Australia,"This is full bodied and supple, with attractive red-berry fruit, but also displays a slightly acrid, smoky note. Decant vigorously for best results.",,86,19.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Jip Jip Rocks 2013 Shiraz (Padthaway),Shiraz,Jip Jip Rocks,#471669
+48809,Australia,"The Smith Cullam Riesling is made in a large French oak cask in an off-dry style. The 2012 is higher in alcohol than the 2011, yet also seems sweeter. White peach, petrol and kerosene notes mark the nose and palate, while the finish is simultaneously sweet and tart.",Smith Cullam,91,65.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2012 Smith Cullam Riesling (Frankland River),Riesling,Frankland Estate,#443982
+48812,Australia,"Sourced from Mount Barker, this is a full-bodied, supple example of WA Shiraz. Concentrated plummy fruit is marked by hints of menthol and peppery spice, then ends in a soft wash of dusty tannins and mouthwatering acids. Drink now–2020+.",Two Steps,91,17.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2009 Two Steps Shiraz (Western Australia),Shiraz,West Cape Howe,#471669
+48827,Australia,"Impressive for its bold, savory flavors of tapenade and grilled meat, this is full boded and ripe, but lacks the density and concentration of the region's best examples, giving way to an open-knit finish. Drink this over the next several years for its upfront appeal.",Ben Schild Reserve Single Vineyard,90,46.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Schild Estate 2013 Ben Schild Reserve Single Vineyard Shiraz (Barossa Valley),Shiraz,Schild Estate,#471669
+49011,Australia,"This medium-bodied Cabernet offers a balanced blend of earth and mixed berries. Some dusty tannins are present, but come across as fine in texture, suitably framing the long, crisp finish. Drink now–2020.",Mountain Estate,89,14.0,New South Wales,New South Wales,,Joe Czerwinski,@JoeCz,Inkberry 2013 Mountain Estate Cabernet Sauvignon (New South Wales),Cabernet Sauvignon,Inkberry,#471163
+49160,Australia,"Medium-bodied and a little viscous in the mouth, this value Chard is no fruit bomb, as are many others at this price. It's rather interesting—look for white stone fruit and floral notes on the palate, and peach and passion fruit notes on the nose. Finishes with a peppery-herbaceous bite.",,86,8.0,Australia Other,South Eastern Australia,,,,Alice White 2002 Chardonnay (South Eastern Australia),Chardonnay,Alice White,#440154
+49162,Australia,"A bright, sunny, yellow Chard through and through-and the cream-and-tropcial fruit nose is just the beginning. Peach, banana and vanilla flavors resurface on the palate; toasty-butterscotch flavors round out the back end. An instant mood-lifter. Drink now.",,86,14.0,South Australia,McLaren Vale,,,,Tatachilla 2000 Chardonnay (McLaren Vale),Chardonnay,Tatachilla,#440154
+49168,Australia,"Goes down so easy; if you can't get away to Cancun for vacation, this is the next best thing. This is a tropical Chardonnay if ever there was one, with pineapple and melon notes on the palate, and with pineapple and coconut on the nose. Finishes dry, with some citrus peel.",Warburn,86,10.0,New South Wales,New South Wales,,,,Riverina Estates 2001 Warburn Chardonnay (New South Wales),Chardonnay,Riverina Estates,#440154
+49173,Australia,"A straightforward but pleasant wine, with a yellow-fruit core that wears a chalky cloak. The nose offers zippy citrus aromas, and the first strains of the yellow fruit-and-mineral duo.",,86,14.0,South Australia,Clare Valley,,,,Annie's Lane 2002 Riesling (Clare Valley),Riesling,Annie's Lane,#443982
+49174,Australia,"There's a zippy citrus note on the nose, though the underlying aroma is of cracker, or flour; the citrusy streak resurfaces on the palate and carries through to the finish. A little creaminess rounds out the nose. Quite a value for Barossa Chardonnay.",Spires,86,10.0,South Australia,Barossa Valley,,,,Barossa Valley Estate 2002 Spires Chardonnay (Barossa Valley),Chardonnay,Barossa Valley Estate,#440154
+49180,Australia,"Has a nice citrus-pear core, but the fruit wears a strange faux-sweetness (really, it tastes like saccharine) that was a little offputting. Still, it's a nice wine, with medium body and nice resiny and creamy notes on the nose.",,86,20.0,South Australia,Clare Valley,,,,Elysian Fields 2001 Riesling (Clare Valley),Riesling,Elysian Fields,#443982
+49181,Australia,"Though its standout aroma is of toasted campfire marshmallows, on the palate, this wine is toasty without being too creamy, and offers pleasant toast, apple and pear flavors that persist on the finish. It's a medium-weight, crowd-pleasing wine.",Genus 4,86,20.0,New South Wales,Hunter Valley,,,,McGuigan 2000 Genus 4 Chardonnay (Hunter Valley),Chardonnay,McGuigan,#440154
+49338,Australia,"Full-bodied and lush in style, with aromas of cherries and spice. On the palate, it delivers waves of fresh fruit and hints of cocoa, but also enough complexity to hold your interest before finishing on a long, mouthwatering note. Drink now–2016.",Romas,93,75.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2008 Romas Grenache (Clarendon),Grenache,Clarendon Hills,#481C6E
+49441,Australia,"Features an admirably lean, elegantly fine line of acids from start to finish, off of which hang notes of crushed stone, green apple and lime, with just the merest hints of riper fruit, like nectarine. Crisp and long, this should develop well over the next 5–10 years.",Bin 51,91,20.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Penfolds 2010 Bin 51 Riesling (Eden Valley),Riesling,Penfolds,#443982
+49563,Australia,"D'Arenberg is better known for its red wines, but this promising effort from the Adelaide Hills is one to watch. Vanilla and custardy notes mark the nose, while the flavors turn toasty and cereal-like, backed by plenty of mixed citrus fruit. It's not overly rich or ripe, but has long, mouthwatering finish.",The Lucky Lizard,91,35.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2007 The Lucky Lizard Chardonnay (Adelaide Hills),Chardonnay,D'Arenberg,#440154
+49569,Australia,"The Shaw and Smith M3 Chardonnay continues to be a reliable performer, with the 2007 showing more restrained oak influence than in the past. It's still smoky and toasty upfront, but backed by ample apple and citrus fruit, and on the palate there's more of a toasted-grain note rather than overt vanilla and spice. Acids are crisp, elegantly extending the finish.",M3,91,41.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shaw and Smith 2007 M3 Chardonnay (Adelaide Hills),Chardonnay,Shaw and Smith,#440154
+49582,Australia,"There's nothing subtle about this wine, which layers tropical fruit and pecan aromas over flavors of buttered nuts and citrus. Turns lemony on the finish. The intense flavors are all powered by an undercurrent of gravelly nuttiness.",Reserve,89,23.0,New South Wales,Mudgee,,Joe Czerwinski,@JoeCz,Andrew Harris 2000 Reserve Chardonnay (Mudgee),Chardonnay,Andrew Harris,#440154
+49586,Australia,"At this price, it would be hard for this wine to live up to expectations—which is why we taste blind. But without any preconceptions, this wine was still delicious. The promising oaky aromas of honey drizzled over toast, coconut and vanilla are backed by white peach. It's tightly wound and less giving on the palate.",Tiers Vineyard,89,120.0,South Australia,Piccadilly Valley,,Joe Czerwinski,@JoeCz,Petaluma 1999 Tiers Vineyard Chardonnay (Piccadilly Valley),Chardonnay,Petaluma,#440154
+49593,Australia,"A smooth, easy-drinking Chardonnay, with mild, understated aromas of green apple and toast, but also sweet tropical fruit flavors and a ripe pineapple-citrus finish that picks up hints of oranges. Best Buy.",Bin 7000,88,10.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,McGuigan 2001 Bin 7000 Chardonnay (Hunter Valley),Chardonnay,McGuigan,#440154
+49596,Australia,"A big step up from the “regular” Chardonnay, this is riper, richer and longer. Buttered toast and tropical-fruit flavors, a rich, textured mouthfeel and a smooth, easy finish make this a very enjoyable drink.",Reserve,88,13.0,New South Wales,New South Wales,,Joe Czerwinski,@JoeCz,Penmara 2000 Reserve Chardonnay (New South Wales),Chardonnay,Penmara,#440154
+49597,Australia,"Buttered toast and vanilla scents lead the way, buttressed by peach and citrus. It's medium-weight and smooth in the mouth, with a long finish that boasts echoes of orange and lemon.",Moon Mountain,88,21.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Tyrrell's 1999 Moon Mountain Chardonnay (Hunter Valley),Chardonnay,Tyrrell's,#440154
+49603,Australia,"This is one tightly wound Shiraz. There's cedar and spice on the nose, but the plum fruit is balled up inside, needing time to emerge. Still, the spice notes are impressive, ranging from sage to peppercorn, and the structure is impeccable. Probably worth trying again in 2016.",Mount Edelstone Vineyard,91,110.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2006 Mount Edelstone Vineyard Shiraz (Eden Valley),Shiraz,Henschke,#471669
+49605,Australia,"With its expressive notes of espressso and black olive, this Shiraz is on the savory side, but it still carries enough plummy fruit to provide balance. It's mouthfilling and generous, while a bit of tartness on the finish serves to highlight the coffee and earth flavors. Drink now-2017.",,91,29.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Plantagenet 2007 Shiraz (Great Southern),Shiraz,Plantagenet,#471669
+49620,Australia,"Chocolate and prune aromas and flavors come across as somewhat generic, then finish on a drying, astringent note.",,82,14.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Terra Australis 2007 Shiraz (South Eastern Australia),Shiraz,Terra Australis,#471669
+49631,Australia,"Rubbery and rhubarby on the nose, then confected and frankly sweet-tasting on the palate, with a short finish.",,81,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Friday Monkey 2006 Merlot (South Eastern Australia),Merlot,Friday Monkey,#24848D
+49632,Australia,"Starts with some odd aromas of burnt rubber, charred plum and scorched marshmallow, then delivers slightly sweet, caramelly flavors. It's thick and viscous in texture yet without much in the way of tannin.",,81,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Patritti 2007 Shiraz (South Australia),Shiraz,Patritti,#471669
+49634,Australia,"This inexpensive Aussie Shiraz seems to have deteriorated in recent vintages. The 2007 tastes sweet, filled with candied fruit and turning a bit cloying on the finish.",,80,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Red Knot 2007 Shiraz (South Australia),Shiraz,Red Knot,#471669
+49702,Australia,"This may be the best vintage of this wine yet. The aromas and flavors are a lovely blend of citrus, stone fruit and roasted cashew, while the mouthfeel is creamy and lush without being soft or flabby. Drink now–2017.",Prelude Vineyards,91,36.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2011 Prelude Vineyards Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+49711,Australia,"The 2011 vintage wasn't an easy one in South Australia to say the least, which makes this wine all the more admirable. Mouthwatering, peppery, red-currant fruit remains firm and focused from start to finish, ending on a crisp note. Drink now–2023.",The Custodian,91,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 The Custodian Grenache (McLaren Vale),Grenache,D'Arenberg,#481C6E
+49720,Australia,"This is a concentrated, firmly built example of Grenache, with herbal overtones to its black cherry fruit. Despite the dark plum and cherry fruit, the impression is one of tautness and freshness. Drink it with red meat now, or give it until 2017 to settle down.",Old Vine,91,32.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2011 Old Vine Grenache (McLaren Vale),Grenache,Yangarra Estate Vineyard,#481C6E
+49721,Australia,"Full bodied and supple, this is one of the more opulent and open of d'Arenberg's array of single-vineyard wines. Notes of vanilla, maple syrup and bramble berries mark the nose, while the flavors add cassis and tobacco elements. It's a pretty, fleshy wine for drinking now–2020, although it may age well even past that.",The Fruit Bat Single Vineyard,91,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Fruit Bat Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+49722,Australia,"One of the most muscular of these multiple 2010 d'Arenberg Shiraz bottlings, Tyche's Mustard is full-bodied and burly, packed with dark, earthy notes of loam, black olive, and espresso. Despite its power, the finish is long and elegantly textured. Drink 2016–2030.",Tyche's Mustard Single Vineyard,91,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 Tyche's Mustard Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+49800,Australia,"This isn't Coonawarra's most elegant wine, but it certainly doesn't lack for character or concentration. Menthol, vanilla, cedar and cassis deliver plenty of flavor in this chunky, full-bodied Cabernet. Charred, mocha-like notes emerge on the long, intense finish. Drink now–2025.",,91,35.43766346992153,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Balnaves of Coonawarra 2012 Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Balnaves of Coonawarra,#471163
+49803,Australia,"Yarra Valley isn't really where you'd expect to find Marsanne, so this entirely barrel-fermented example is a treat. Only 10% new oak is used, just enough to lend a subtle note of toasted hazelnuts to the fruit, imparting silky texture and added complexity to the white peach, fig and melon flavors on the medium-bodied palate. Finishes long and citrusy.",Warramunda Reprise,91,28.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Ben Haines 2014 Warramunda Reprise Marsanne (Yarra Valley),Marsanne,Ben Haines,#228B8D
+49805,Australia,"Classic Margaret River Cabernet, showing great balance between cedary oakiness and effusive fruitiness. Cola and plum notes give this a darker flavor spectrum than some vintages, yet the flavors remain crisp and vibrant, ending with soft tannins. Drink now–2025.",,91,72.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cape Mentelle 2012 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Cape Mentelle,#471163
+49806,Australia,"Dark chocolate and cedar merge easily on the nose of this medium- to full-bodied wine. Those dark, oaky elements are balanced by tart berries on the palate, enhanced by barrel char and oodles of soft tannins on the long finish. Drink now–2025.",Scotsdale,91,37.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Howard Park 2013 Scotsdale Cabernet Sauvignon (Great Southern),Cabernet Sauvignon,Howard Park,#471163
+49832,Australia,"Straightforward apple and lime aromatics bust from the glass alongside some slightly smoky, struck-flint notes, but this wine offers rather simple fruit flavors on the palate, It's medium bodied, with a hint of honey already creeping in on the finish, suggesting early consumption is warranted.",Watervale Dry,86,18.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Fire Block 2008 Watervale Dry Riesling (Clare Valley),Riesling,Fire Block,#443982
+49840,Australia,"Slightly musky and briny on the nose, with a broad underlay of peach. This medium-bodied Riesling seems lightly honeyed and a little soft relative to its peer group. A user-friendly introduction to Australian Riesling that should be consumed over the next 6–9 months.",Thomas Hyland,86,14.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,Penfolds 2008 Thomas Hyland Riesling (Adelaide),Riesling,Penfolds,#443982
+49844,Australia,"Made with a bit of skin contact, this pale copper-hued wine boasts scents of dusty earth and cantaloupe. Melon and apple-skin flavors mingle easily on the palate, ending with some light tannins and mouthwatering acids. Drink now–2011.",,86,16.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Robert Oatley 2009 Pinot Grigio (South Australia),Pinot Grigio,Robert Oatley,#423D84
+49848,Australia,"A slightly chunky, sturdy rendition of Pinot Noir, with earthy complex notes ranging from beet root and cola through sous bois and animale. Finishes with tangy cherry and herb flavors that could use another year or two to mellow.",,86,20.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2008 Pinot Noir (Western Australia),Pinot Noir,West Cape Howe,#414286
+49894,Australia,"This is a full-bodied, well structured Cabernet, with plenty of intense cassis fruit tinged with minty, herbal overtones that give it a slightly medicinal cast. Give it 2-3 years to develop additional complexity, then drink it over the next 7-8 years.",Enterprise Vineyard,88,40.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Knappstein 2003 Enterprise Vineyard Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Knappstein,#471163
+49901,Australia,"Peppery-spicy on the nose, adding welcome lift and nuance to earthy notes, plum and cola. the Viognier gives this wine a slightly fatter, rounder mouthfeel and brightens the fruit on the palate, so while the acids are crisp, the wine remains soft and readily accessible.",Two Steps,88,21.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2005 Two Steps Shiraz-Viognier (Western Australia),Shiraz-Viognier,West Cape Howe,#462F7C
+49913,Australia,"Hoff is a reliable source for satisfying Barossa Shiraz. The 2005 shows touches of carob to go with its blackberry fruit, a lush, creamy texture and a hint of cracked pepper on the finish. Drink now-2015.",,88,28.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Steve Hoff 2005 Shiraz (Barossa),Shiraz,Steve Hoff,#471669
+49914,Australia,"This easy-to-drink, medium-bodied red blends 31% Merlot, 28% Shiraz, 25% Cabernet Sauvignon and 16% Cabernet Franc, then adds lashings of toasty, vanilla-scented oak. The result is a supple wine redolent of plums, vanilla and baking spices that finishes soft and creamy-smooth. Ready to drink now.",Tradition,88,25.0,Victoria,Pyrenees,,Joe Czerwinski,@JoeCz,Syan 2005 Tradition Red (Pyrenees),Red Blend,Syan,#3F4788
+50182,Australia,"Marked on the nose by scents of berry, rhubarb and leather, this wine morphs on the palate to offer flavors of prune, chocolate and date. Although the tannins are supple, the wine's substantial alcohol (15.8%) shows through on the finish. Probably best consumed in its youth.",Stolen Block,84,35.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Reilly's 2006 Stolen Block Shiraz (Clare Valley),Shiraz,Reilly's,#471669
+50243,Australia,"This wine combines elegance and power, complexity and drinkability. Orange rind, strawberry, flowers, Chinese Five Spice and a hint of raw meat all dance together on the pretty, lifted nose. The palate is satiny and leans more towards tart cranberry, with the spice character really shining, followed by superfine but sturdy tannins. Pair with roast duck, beef teriyaki, or a veggie stir fry.",,93,35.0,South Australia,McLaren Vale,,,,Paxton 2015 Grenache (McLaren Vale),Grenache,Paxton,#481C6E
+50252,Australia,"From 53-year-old organic and biodynamically farmed Grenache vines, this elegant wine could easily age for 10 years but is drinkable now. Bursting with red cherries, strawberries, herbs, vanilla and violets, the palate's ultrafine tannins are backed by juicy fruit and a long, herbal, cranberry finish.",Warboy's Vineyard,93,75.0,South Australia,McLaren Vale,,,,Angove 2015 Warboy's Vineyard Grenache (McLaren Vale),Grenache,Angove,#481C6E
+50275,Australia,"Muscular and slightly austere, this wine does offer attractive notes of mint and blueberry. Some meaty nuances creep in, adding welcome complexity. Although firm, it's approachable now, yet should age well through 2025.",The Love Grass,91,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2012 The Love Grass Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+50290,Australia,"A blend of McLaren Vale, Hunter Valley and Beechworth fruit went into this bottling, and the components have knit together well. The wine is sappy and floral on the nose, and silky-textured on the palate, loaded with raspberry and blueberry fruit and ample peppery spice. Drink now through 2020+.",,91,27.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Brokenwood 2013 Shiraz (Australia),Shiraz,Brokenwood,#471669
+50291,Australia,"This is made in an earthy-savory style, offering hints of roasted meat, black olives and espresso. It's also firmly constructed, with firm tannins that suggest a couple of years of cellar time would do it some good. Drink 2018 through 2025.",The Footbolt,91,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2012 The Footbolt Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+50468,Australia,"Supple and velvety, with a ripe, creamy texture, this shows textbook Cab flavors: cassis, tobacco and some vanilla from new oak. It deftly avoids the common Barossa problem of excessive size and weight, just could use a touch more persistence on the finish. Imported by AUSA Pacific, LLC.",Thoroughbred,87,28.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Stanley Lambert 2002 Thoroughbred Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Stanley Lambert,#471163
+50490,Australia,"Despite tipping the scales at more than 15% alcohol, this wine actually comes across as nicely structured and elegant. It's certainly not a fruit bomb, instead offering a complex array of sour plum, espresso, olive and coffee notes to go with its blueberry fruit. It's round without being fat, framed by supple tannins that turn slightly dusty on the finish. Drink now-2016.",Ernest,89,25.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Sieber Rd 2006 Ernest Shiraz (Barossa Valley),Shiraz,Sieber Rd,#471669
+50493,Australia,"There's a hint of sur-maturité to this wine's cassis flavors, giving it a chocolate and dried-fruit character to go with hints of eucalyptus. That ripeness gives it a rich, soft, warm character that makes it instantly approachable. Drink now-2012 or so.",,88,32.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Eppalock Ridge 2004 Cabernet Merlot (Heathcote),Cabernet Merlot,Eppalock Ridge,#365B8C
+50504,Australia,"Typical Adelaide Hills Sauvignon Blanc (it appeared on the 2008 MW exam), with grassy aromas laid over a base of passion fruit and gooseberry. It's medium in body, finishing with hints of mineral, citrus fruit and great freshness. Drink now.",,88,22.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shaw and Smith 2007 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Shaw and Smith,#482172
+50505,Australia,"The combination of high alcohol and ripe fruit gives this wine a sweet-seeming profile dominated by plums and blackberries, but there's also a note reminscent of alfalfa or sweet hay. Ripe tannins impart a lush, creamy mouthfeel that extends through the finish.",Old Block,88,70.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,St Hallett 2004 Old Block Shiraz (Barossa),Shiraz,St Hallett,#471669
+50610,Australia,"At 82% Cabernet Sauvignon, with small amounts of Merlot, Cab Franc and Petit Verdot, this drinks like a Cab, combining ripe cassis and chocolate notes with hints of mint, brown sugar and cinnamon. It's full-bodied and a bit chewy in texture, which should serve it well through at least 2015.",The Galvo Garage,91,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2005 The Galvo Garage Red (McLaren Vale),Bordeaux-style Red Blend,D'Arenberg,#1F938B
+50614,Australia,"Johann's Garden gives consumers a taste of the Henschke mystique at a reasonable price. A blend of 68% Grenache, 17% Mourvèdre and 15% Shiraz, it offers restrained, elegant aromas of cherry and cassis with a lifted hint of mint, then adds richer notes of coffee and chocolate on the palate. It's full-bodied and creamy in texture, with a lush, mouthwatering finish. Drink now–2016.",Johann's Garden,91,40.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Henschke 2006 Johann's Garden Red (Barossa),Rhône-style Red Blend,Henschke,#2A768E
+50616,Australia,"This wine's elevated alcohol level (16.2%) gives it plenty of fullness on the palate, and combined with jammy fruit and superripe tannins makes for a slightly sweet palate impression and a creamy texture. It does offer waves of raspberry and blueberry fruit topped by hints of cinnamon and vanilla as well as savory undercurrents of grilled meat and tapenade. Drink now and over the next few years for its exuberant fruit.",Samantha's Garden,91,60.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Two Hands 2006 Samantha's Garden Shiraz (Clare Valley),Shiraz,Two Hands,#471669
+50645,Australia,"Winemaker Larry Cherubino has crafted an excellent yet affordable Pinot Noir. Hints of cedar and vanilla accent the cherry fruit, while the texture is appropriately supple without being overripe. The oak is prominent, but the weight and texture hit the mark. Drink now.",,90,20.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Robert Oatley 2013 Pinot Noir (Yarra Valley),Pinot Noir,Robert Oatley,#414286
+50824,Australia,"This Chard is a straightforward, good quaffer, with a light, pleasant sweetness more suited for late-summer picnics than dinner parties. Offers crisp yellow fruit, plus light citrus and mineral notes on the palate; on the nose, the fruit is tropical. Drink it before the weather gets too crisp.",Stamp of Australia,85,6.0,Australia Other,South Eastern Australia,,,,Hardys 2002 Stamp of Australia Chardonnay (South Eastern Australia),Chardonnay,Hardys,#440154
+50828,Australia,"A straight-ahead Riesling, pleasant but uncomplicated. Minerals envelop white stone fruit on the palate; the fruit is more fruit skin than flesh. Nose is light and feminine, with citrus and confectioners' sugar notes.",Poison Hill Vineyard,85,18.0,Western Australia,Western Australia,,,,Frankland Estate 2002 Poison Hill Vineyard Riesling (Western Australia),Riesling,Frankland Estate,#443982
+50832,Australia,"A flavorful Chardonnay, with a backbone of ripe, tropcial fruit and apples. Toast and caramel notes sing loudly, though, from beginning to end (the wine was aged in French and American oak hogsheads)—steer clear if you're averse to wood.",,85,18.0,South Australia,Barossa Valley,,,,Simon Hackett 2001 Chardonnay (Barossa Valley),Chardonnay,Simon Hackett,#440154
+50837,Australia,"Nice floral, pear and vanilla notes waft from the nose. Its body is on the soft side, but the sweetish, white stone fruit-and-citrus profile (and its bargain price) are surefire crowd pleasers.",,85,8.0,Australia Other,South Eastern Australia,,,,Black Swan 2002 Chardonnay (South Eastern Australia),Chardonnay,Black Swan,#440154
+50845,Australia,"This Chard offers a fair dose of oak (and the creamy-toasty goodness that goes with it), yet has tropical yellow fruit to back up the wood. Soft in the mouth; finishes dry and oaky.",Firestick,85,14.0,South Australia,Adelaide Hills,,,,Pooles Rock Wines 2001 Firestick Chardonnay (Adelaide Hills),Chardonnay,Pooles Rock Wines,#440154
+51019,Australia,"After spending 18 months in oak, this wine has emerged toasty and vanilla-laden. That said, there's some impressive fruit underneath, medium-bodied and crisp, with undertones of raspberries and red currants that linger on the concentrated finish. Drink 2020–2030.",Lucindale,92,35.43766346992153,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Di Giorgio Family Wines 2013 Lucindale Cabernet Sauvignon (Limestone Coast),Cabernet Sauvignon,Di Giorgio Family Wines,#471163
+51034,Australia,"Great Southern is an underrated source for Cabernet Sauvignon, amply demonstrated by this wine. Expansive notes of cedar, brown sugar, vanilla and baking spices enrobe tart berries, while the wine's firm structure carries through to a crisp, tannic finish. Try in 2020.",,92,29.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Plantagenet 2013 Cabernet Sauvignon (Great Southern),Cabernet Sauvignon,Plantagenet,#471163
+51070,Australia,"Citrus, confectioner's sugar and papaya are the opening act for this simple but pleasant sparkler. It's light in the mouth, with noticeable sweetness but a kick of lemony acidity at the end leaves you feeling refreshed. Drink soon, preferably while watching the tide come in.",The Postmistress Blanc de Blancs,83,20.0,South Australia,Padthaway,,,,Henry's Drive Vignerons 2009 The Postmistress Blanc de Blancs Chardonnay (Padthaway),Chardonnay,Henry's Drive Vignerons,#440154
+51080,Australia,"Here's a wine with a limited repertoire, but the one tune it's beating is a good one: pineapple on the nose, pineapple in the mouth and pineapple on the short finish. Intensity and length are in short supply but this is a fine, refreshing choice for unthinking summer sipping. Drink now.",The Lackey,83,15.0,South Australia,South Australia,,,,Kilikanoon 2007 The Lackey Chardonnay (South Australia),Chardonnay,Kilikanoon,#440154
+51264,Australia,"The blend in this torrid vintage is 68% Shiraz, 32% Cabernet, which somehow manages to avoid any sense of baked or raisined fruit. There's a slightly medicinal, eucalyptus note, common in wines from this big gumtree region, but also red currant and cherry fruit, a creamy, supple texture and a long finish dusted with cocoa powder. Drink now–2020.",Parson's Flat,90,42.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2008 Parson's Flat Shiraz-Cabernet Sauvignon (Padthaway),Shiraz-Cabernet Sauvignon,Henry's Drive Vignerons,#460B5E
+51267,Australia,"A sculpted, refined expresion of Cabernet Sauvignon, Oatley's 2010 combines hints of mint and dark berries into a wine that offers clean, pure fruit, subtle oak shadings and a long, silky finish. Drink now–2020.",,90,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2010 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Robert Oatley,#471163
+51268,Australia,"This elegant, finely balanced blend of 73% Cabernet Sauvignon and 27% Merlot displays the supple, silky tannins for which Margaret River is justly famous. Gentle cigar box aromas and flavors that suggest cherry and mocha round out the wine's ample charms. Drink it over the next few years.",,90,27.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Stella Bella 2009 Cabernet Sauvignon-Merlot (Margaret River),Cabernet Sauvignon-Merlot,Stella Bella,#345F8D
+51315,Australia,"In 2009 this single vineyard offering includes 11% Sémillon. It has wonderful texture, and a mix of light herbal flavors that run through a gamut from celery to lemongrass and up into tart citrus fruit. The acidity is generous but not searing; it penetrates but never overpowers. A quintessential food wine.",Noble Baron,90,50.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Château Tanunda 2007 Noble Baron Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Château Tanunda,#471163
+51332,Australia,"Hits all the classic well-oaked Cabernet notes: cedar, tobacco, vanilla and cassis upfront, with similar flavors coursing through from start to finish. It's not quite as full bodied as some Australian Cabernets, which isn't a bad thing, finishing with silky yet firm tannins. Drink now–2016.",Marquis Philips S2,89,35.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,R Wines 2007 Marquis Philips S2 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,R Wines,#471163
+51389,Australia,"Lovely dessert-style Riesling at an extremely attractive price. It yields dried apricot aromas, then turns to honeyed marmalade in the mouth, just loaded with orange-apricot preserves. It's weighty and viscous, with a long, sweet finish. Should last through at least 2016.",The Noble Wrinkled,94,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Noble Wrinkled Riesling (McLaren Vale),Riesling,D'Arenberg,#443982
+51464,Australia,"This is rich in style and packed with jammy blackberry fruit and slightly green, sweet oak. It's a little hot and one dimensional, but those who enjoy a riper style of red will be satisfied.",,84,14.0,South Australia,South Australia,,,,Shoofly 2015 Shiraz (South Australia),Shiraz,Shoofly,#471669
+51479,Australia,"This is a smooth-textured, medium- to full-bodied wine loaded with scents of cedar and spice. Red berry fruit emerges on the palate and lingers alongside the cedar notes on the long finish. Drink now–2020.",The Duke,91,49.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2009 The Duke Grenache (Clare Valley),Grenache,Kilikanoon,#481C6E
+51497,Australia,"Despite the relatively high alcohol, this comes across as a fairly classic Coonawarra Cabernet. Mint accents chocolate and cassis, and the wine is full bodied yet still seems a bit restrained on the palate. Firm tannins frame the dusty, appropriately drying finish. Drink 2016–2025.",Reserve Estate Grown,91,50.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2009 Reserve Estate Grown Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Penley Estate,#471163
+51525,Australia,"Here's an Italian-styled Pinot Grigio, with a gently nutty nose and earthy low notes. It's faintly oily in the mouth but finishes crisp and light, with a pretty lemon zest accent. Drink up.",The Long Paddock,86,10.0,Victoria,Victoria,,,,Redbank 2008 The Long Paddock Pinot Grigio (Victoria),Pinot Grigio,Redbank,#423D84
+51528,Australia,"A bit disappointing this year, the Bin 51 shows good cream and lemon complexity on the nose but there's also an earthy undertone that distracts. Nonetheless, the concentration is evident and a pleasant pear note adds interest to the crisp finish. Drink now.",Bin 51,86,20.0,South Australia,Eden Valley,,,,Penfolds 2009 Bin 51 Riesling (Eden Valley),Riesling,Penfolds,#443982
+52038,Australia,"For under $10, this wine delivers an admirable blend of cherry fruit and savory underpinnings. Hints of asphalt and black olive finish on a mouthwatering note, joined by the suggestion of caramelized fruit. Drink now.",DB Family Selection,86,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2013 DB Family Selection Shiraz (South Eastern Australia),Shiraz,De Bortoli,#471669
+52097,Australia,"The nose of this wine is intriguingly complex, hinting at violets, campfire, eucalyptus and cherry, yet on the palate, the wine doesn't fully live up to that promise. It's crisp and medium bodied, with flavors that actually become simpler and more fruit-driven with airing. Drink now–2020.",,89,35.43766346992153,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Warramate 2012 Shiraz (Yarra Valley),Shiraz,Warramate,#471669
+52110,Australia,"The Limestone Coast, which encompasses the noted regions of Coonawarra and Padthaway, is known for its Cabernet and its big gum trees. There's certainly more than a bit of mint to this wine, but there are also notes of cassis and even a hint of bell pepper. It does turn a bit astringent on the finish, so pair it with lamb chops or hamburgers. Drink now–2020.",,88,14.0,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Mt. Monster 2013 Cabernet Sauvignon (Limestone Coast),Cabernet Sauvignon,Mt. Monster,#471163
+52175,Australia,"Vasse Felix's 2011 Chardonnay is full bodied and fleshy without going over the top. Toasty, grilled-bread notes mark the nose, while the palate unfurls into a mix of peach, melon and citrus flavors that finish clean and refreshing. Drink this well balanced wine over the next few years.",,90,22.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2011 Chardonnay (Margaret River),Chardonnay,Vasse Felix,#440154
+52184,Australia,"Compact and sturdy, this robust blend of Cabernet Sauvignon, Petit Verdot, Malbec and Merlot is relatively simple, yet satisfying. Bold cassis fruit joins with earthy, tobacco notes and hints of vanilla to finish with dry intensity and promising length. Drink 2015–2020.",Amy's,90,34.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Moss Wood 2010 Amy's Red (Margaret River),Red Blend,Moss Wood,#3F4788
+52194,Australia,"This wine is already showing hints of evolution in its aromas of kerosene, toast and honey. Developing flavors of apple and citrus marmalade suggest that this dry, medium-bodied Riesling should be at its best now and over the next 5–6 years.",Mort's Block Watervale,90,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2011 Mort's Block Watervale Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+52502,Australia,"Made in a lighter, more delicate style than many of its brethren, this is nevertheless fresh and flavorful. Pear, melon and white peach notes are framed by hints of toasted brioche, which takes on a slightly mocha-like character on the finish.",,88,35.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yeringberg 2013 Chardonnay (Yarra Valley),Chardonnay,Yeringberg,#440154
+52578,Australia,"You could do a lot worse at the U.S. Open than to sip a glass of this. Keeping it well-chilled will help rein in the broad, weighty notes of peach and melon and allow hints of peppery spice to emerge on the finish. Drink now.",Classic,86,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2015 Classic Chardonnay (South Eastern Australia),Chardonnay,Jacob's Creek,#440154
+52743,Australia,"This wine shows ultraripe fruit, with cola and sweet-oak spice wrapped in a plush texture and juicy finish. A simple, user-friendly weeknight glugger.",,86,8.0,Australia Other,South Eastern Australia,,,,Little Penguin 2015 Shiraz (South Eastern Australia),Shiraz,Little Penguin,#471669
+52749,Australia,"On the synthetic side to start, the lime, lemon and tropical fruits eventually reveal themselves, with blossoms, grass, and herbal spice in the background. The palate is tightly wound and mouth-puckering, giving way to a slightly bitter-herbed finish.",,86,24.0,Western Australia,Margaret River,,,,Voyager Estate 2015 Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Voyager Estate,#3C4E8A
+52857,Australia,"This medium-bodied Chardonnay is tightly wound. Scents of grilled pineapple and custard offer glimpses of ripe fruit and richness, held under wraps by intense citrus flavors and a long tart finish. Drink now through 2020.",Karridale Corduroy,92,33.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Snake and Herring 2014 Karridale Corduroy Chardonnay (Margaret River),Chardonnay,Snake and Herring,#440154
+53046,Australia,"Shows varietally correct grassiness and herbal notes on the nose, followed by round, honeyed fruit flavors that turn racy and grapefruity on the finish. Suitable as an apéritif or paired with slightly weighty fish dishes.",,87,25.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Alta 2008 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Alta,#482172
+53269,Australia,"Thick and pulpy on the palate, this white is fruity and simple, with pear, melon and citrus aromas and flavors. It's surprisingly heavy for such a low-alcohol (12.7%) wine.",Memsie Sauvignon Blanc Semillon Roussanne Chardonnay,83,14.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Water Wheel 2006 Memsie Sauvignon Blanc Semillon Roussanne Chardonnay White (Bendigo),White Blend,Water Wheel,#32638D
+53270,Australia,"Tart and zesty, with lime and cranberry aromas and flavors. It's light, clean   and refreshing.",The Y Series Limited Release Rosé,83,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2007 The Y Series Limited Release Rosé Sangiovese (South Australia),Sangiovese,Yalumba,#1E978A
+53401,Australia,"Lush and appealing, this is one of the more appropriately named of the Chocolate Box wines. Slightly jammy raspberry fruit is coated in chocolate; even the tannins come across as softly dusty, even vaguely cocoa-like. Drink over the next year or two.",,90,17.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Chocolate Box 2009 Shiraz (Barossa Valley),Shiraz,Chocolate Box,#471669
+53405,Australia,"This medium- to full-bodied red features bright fruit accented by oak. Vanilla strongly marks the nose, yet cherry and raspberry also come through, tinged with baking spices. Crisp and firm on the finish; try pairing with rich cuts of red meat.",Andreas Premium Polish Hill River,90,40.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pauletts 2007 Andreas Premium Polish Hill River Shiraz (Clare Valley),Shiraz,Pauletts,#471669
+53520,Australia,"The Adelaide Hills is one of Australia's best sources of high-quality Chardonnay. This is a fine example, marrying toasted grain aromas with peach and citrus flavors and a touch of vanilla. It's soft, lush and promises easy drinking over the next year or two.",The Handshake,89,29.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Penny's Hill 2013 The Handshake Chardonnay (Adelaide Hills),Chardonnay,Penny's Hill,#440154
+53678,Australia,"Full, soft and round—and reaonably priced—this Shiraz should be a steakhouse staple. It offers dark flavors of plum and earth, dressed by hints of vanilla, coffee and dark chocolate.",Bin 61,88,24.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Leasingham 2004 Bin 61 Shiraz (Clare Valley),Shiraz,Leasingham,#471669
+53748,Australia,"Like 2005, 2015 looks to be an outstanding vintage for South Australia Riesling. This one, from two high-altitude vineyards, boasts incredible acid tension to go along with its relatively light body. Lemon and lime notes mingle with wet stone, finishing long and with great intensity. Drink now–2025.",,91,21.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Hentley Farm 2015 Riesling (Eden Valley),Riesling,Hentley Farm,#443982
+54032,Australia,"Green beans and other vegetal notes combine with pineapple, rancid butter and wet wool in this rather odd Chardonnay. There's plenty of acidity and a creamy mouthfeel, but it's all a little out of balance.",Great Escape Cool Climate Textural,85,25.0,South Australia,Adelaide Hills,,,,Thistledown 2014 Great Escape Cool Climate Textural Chardonnay (Adelaide Hills),Chardonnay,Thistledown,#440154
+54085,Australia,"Young Hunter Valley Sémillon is one of the most perplexing wines to evaluate, and I suspect that in 8–10 years' time, my rating will seem overly stingy. Still, this light-bodied wine appears to lack depth, complexity and length, offering just some odd, resiny scents and waxy, citrusy flavors.",Reserve,83,17.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Pepper Tree 2006 Reserve Semillon (Hunter Valley),Sémillon,Pepper Tree,#2C728E
+54092,Australia,"With its ample body and complex touches of chocolate, plum and spice, this is clearly a serious attempt at rosé, just one that seems a bit tired at this stage of its evolution. Drink up.",Saignée Rosé,83,15.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Margan 2007 Saignée Rosé Shiraz (Hunter Valley),Shiraz,Margan,#471669
+54232,Australia,"The scents of toasted brioche and vanilla reflect the fact that half of the wine was barrel fermented. As a result, it's got some weight and texture to it, but the fruit, outside a dash of pineapple, is relatively muted.",,86,18.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Innocent Bystander 2014 Pinot Gris (Victoria),Pinot Gris,Innocent Bystander,#23888D
+54406,Australia,"This medium-bodied dry Riesling is pleasingly aromatic, boasting scents of ginger, pear and citrus. Then it's linear and focused on the palate, delivering wet stone and crisp citrus flavors that finish long. Drink now–2025.",Julius,88,40.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2014 Julius Riesling (Eden Valley),Riesling,Henschke,#443982
+54418,Australia,"This wavers from the classic Australian recipe of dry Riesling to offer something with a touch of residual sugar (13.6 g/L). Notes of crushed stone, pineapple and lime are buttressed by tart acids, while the sugar helps to balance the finish. A strong candidate to pair with spicy-sweet Asian dishes.",The Dry Dam,88,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2013 The Dry Dam Riesling (McLaren Vale),Riesling,D'Arenberg,#443982
+54435,Australia,"Lean. Linear. Crisp. Focused. This is textbook dry Riesling, showing lime aromas and flavors tinged with hints of talcum powder and beeswax. Drink it now, or hold up until at least 2023.",Killerman's Run,88,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2013 Killerman's Run Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+54512,Australia,"Herbal, slightly peppery notes spice up this wine's aromas, while blackberry, plum and black olive fruit rounds out the palate. This is medium bodied and supple, with a silky finish and hints of licorice.",,90,25.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kurtz Family 2013 Shiraz (Barossa Valley),Shiraz,Kurtz Family,#471669
+54538,Australia,"Penfolds' 2009 Yattarna blends fruit from Tasmania, Victoria and South Australia, but remains a lean, taut Chardonnay. Flavors are crisp and citrusy, primarily kumquat, lemon and lime at this young age. Give it several years to see if it comes around.",Yattarna,88,130.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Penfolds 2009 Yattarna Chardonnay (South Eastern Australia),Chardonnay,Penfolds,#440154
+54602,Australia,"A good wine...but disappointing given the high quality of the winery's Chardonnay. This is a plump, medium-bodied Pinot with a somewhat coarse texture and rather simple sour-cherry flavors.",,84,48.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Yabby Lake Vineyard 2005 Pinot Noir (Mornington Peninsula),Pinot Noir,Yabby Lake Vineyard,#414286
+54631,Australia,"Very similar in style and feel to the 2005 offering, Wise's 2006 Single Vineyard Chardonnay is a crisp, nicely structured wine with a preponderance of citrus and toasty oak flavors. Apple and pear notes add just the right amount of fleshiness.",Single Vineyard,90,27.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Wise 2006 Single Vineyard Chardonnay (Western Australia),Chardonnay,Wise,#440154
+54694,Australia,"This is a fresh and elegant take, a good choice for those who find some Shiraz to be heavy-handed. Spice and cedar scents lead to a medium-bodied palate with raspberry and plum fruit couched in velvety tannins. The medium finish is shot through with plum notes. Drink up or keep for a year.",The Lackey,86,15.0,South Australia,South Australia,,,,Kilikanoon 2006 The Lackey Shiraz (South Australia),Shiraz,Kilikanoon,#471669
+54697,Australia,"The Mad Russian manages to evince very ripe fig, orange and candied lemon peel fruit while maintaining a crisp, refreshing structure. Despite a shade of oiliness, the finish is quite appealing; we can only wish the lovely grapefruit and lemon candy flavors would hang around a bit longer. Drink now to one year.",Mad Russian,86,19.0,South Australia,Adelaide,,,,Nova Vita 2008 Mad Russian Chardonnay (Adelaide),Chardonnay,Nova Vita,#440154
+54714,Australia,"Focused apple, pear, lime and grass notes are punctuated by some refreshing minerality here. The wine's elegant in the mouth, with some earthy tones. If only the lovely fruit flavors on the finish hung around just a bit longer. Try with fresh goat cheese, sooner rather than later.",Coralinga,86,35.43766346992153,South Australia,Adelaide Hills,,,,Henschke 2008 Coralinga Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Henschke,#482172
+54738,Australia,"At nearly 80% Grenache, this is a full-bodied, creamy-textured rendering of the Barossa's classic red trio. Savory, peppery elements add welcome complexity to the nose, while the flavors fold in hints of molasses and plum, then end on a long, supple note. Drink now–2017.",Grenache-Mataro-Shiraz,92,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kurtz Family 2012 Grenache-Mataro-Shiraz G-S-M (Barossa Valley),G-S-M,Kurtz Family,#26818E
+54842,Australia,"If you're looking for a clean, well made Pinot Noir at an affordable price, you could do a lot worse. Modest cherry and cinnamon flavors ease across the palate on silky tannins and linger elegantly on a slightly dusty finish. Drink now.",Destinations,85,15.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Long Flat 2006 Destinations Pinot Noir (Yarra Valley),Pinot Noir,Long Flat,#414286
+55054,Australia,"One of the first to use the now famed acronym for Grenache, Shiraz, Mourvèdre blends, Oatley's GSM is luscious yet broody, with oak that should integrate better with a little more time in the bottle. Think ripe cherry, dark chocolate and black olive notes. The palate is medium in weight and has a bitter, oaky finish. Drink 2018–2022.",,87,20.0,South Australia,McLaren Vale,,,,Robert Oatley 2015 G-S-M (McLaren Vale),G-S-M,Robert Oatley,#26818E
+55229,Australia,"This wine starts off a touch rubbery, so give it some air prior to serving if you can. The payoff is a pleasant mix of pear and citrus that's fairly broad on the palate yet balanced, and lengthy, too. This year's blend is 56% Chardonnay, 30% Sauvignon Blanc and 14% Verdelho.",Pillar Box White,87,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2007 Pillar Box White White (South Australia),White Blend,Henry's Drive Vignerons,#32638D
+55344,Australia,"Medium to full bodied, with nicely supple tannins, Wirra Wirra's Church Block is an attractive wine for near-term consumption. Flavors in this blend of 48% Cabernet, 37% Shiraz and 15% Merlot range from broiled tomato to tart berry, then pick up some dried fruit character with air, finishing with an unusually tart edge.",Church Block Cabernet Sauvignon-Merlot-Shiraz,87,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2008 Church Block Cabernet Sauvignon-Merlot-Shiraz Red (McLaren Vale),Red Blend,Wirra Wirra,#3F4788
+55375,Australia,"Off a single vineyard in the Blewitt Springs subregion, this full-bodied red lacks a bit of richness on the midpalate but otherwise offers a mouthful of cola and plum.",,88,28.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Ess & See 2013 Mataro (McLaren Vale),Mataro,Ess & See,#70CE56
+55377,Australia,"This wine's pinkish-coppery hue suggests a bit of skin contact, as does the silky texture on the palate. Hints of gingery spice accent flavors of poached pear, finishing on a dry, dusty note.",Are You Game?,88,17.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Fowles Wine 2015 Are You Game? Pinot Grigio (Victoria),Pinot Grigio,Fowles Wine,#423D84
+55516,Australia,"This wine's floral aromas, complete with hints of apricot, citrus and spice, are fine, and the palate delivers a cornucopia of fruit, but despite this wine's ample spritz, it comes across as a bit heavy and sweet.",,83,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail NV Moscato (South Eastern Australia),Moscato,Yellow Tail,#2F6A8D
+55665,Australia,"Strawberry jam and vanilla are in the fore of this Barossa Grenache. It's juicy, light and bright, with silky tannins and an easy-going gluggability.",Old Bush Vine,88,20.0,South Australia,Barossa,,,,Yalumba 2015 Old Bush Vine Grenache (Barossa),Grenache,Yalumba,#481C6E
+55812,Australia,"This dark, fully saturated red wine starts with scents of eucalyptus, black cherry and dill. The ample weight and dusty texture is appealing, but purists may quibble with the amount of dill in this robust Cabernet. Drink now–2025.",,89,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kangarilla Road 2013 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Kangarilla Road,#471163
+55876,Australia,"A top value in drink-now Shiraz, Reilly's 2008 Barking Mad shows none of the overripe character that plagued the vintage. It's almost floral on the nose, with an intense crème de framboise character. Raspberry, coffee and chocolate notes marry easily on the palate, and although it's not that concentrated, it is full in the mouth and lushly textured on the finish. Drink now–2015.",Barking Mad,89,15.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Reilly's 2008 Barking Mad Shiraz (Clare Valley),Shiraz,Reilly's,#471669
+55893,Australia,"Complex, albeit within a limited and rather dark spectrum that runs from cola and earth through to black olive and espresso. Full bodied, but seems to lack just a bit of midpalate texture, finishing crisp. Drink now–2018.",,89,29.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Koonowla 2006 Shiraz (Clare Valley),Shiraz,Koonowla,#471669
+55895,Australia,"Made by Reid Bosward of Kaesler, this is a chance to taste his handiwork at a reasonable price. The wine delivers plummy, meaty, slightly herbal aromas, then turns more savory on the palate, suggesting mixed olives. In a word, it's complex. Tannins are supple without being too soft, while the finish is long and lush, concealing the wine's 15.3% alcohol amazingly well.",,89,17.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Winner's Tank 2007 Shiraz (Langhorne Creek),Shiraz,Winner's Tank,#471669
+55896,Australia,"With its aromas of smoke and cracked pepper, this shows more Rhône-ish qualities than many of its Barossa brethren. It's also less weighty than most, with an appealingly silky texture that fades just a little too quickly on the finish. Drink now–2015.",Hand Picked Single Site Barty's,89,70.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2006 Hand Picked Single Site Barty's Shiraz (Barossa),Shiraz,Yalumba,#471669
+55937,Australia,"A textbook example of Margaret River Cabernet Sauvignon, the 2007 Art Series offers perfumed cassis fruit just tinged with mint and tobacco. There's ample body yet classic Cabernet restraint, so it's not jammy or overdone. The tannins are supple enough to make it enjoyable now, yet sufficient to see it through 2018, at least.",Art Series,91,45.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2007 Art Series Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Leeuwin Estate,#471163
+55965,Australia,"Fruity in style, offering a bubbly mix of cherries, raspberries and blueberries in a medium-bodied format. It's softly dusty on the otherwise fresh finish.",Farm to Table,89,15.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Fowles Wine 2013 Farm to Table Shiraz (Victoria),Shiraz,Fowles Wine,#471669
+56058,Australia,"This full-bodied Shiraz is bulky and a bit loosely knit. The overtly smoky notes persist on the palate, vying with maple syrup and dark fruit flavors. It's a big, flavorful wine that needs time to come together, so consume over the next few years.",St. Andrews,88,50.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2006 St. Andrews Shiraz (Clare Valley),Shiraz,Wakefield,#471669
+56071,Australia,"This blend shows decent weight and texture, along with elegant aromas and flavors of scorched citrus peel and grapefruit. It's long and mouthwatering on the oak-free finish, making it a versatile food companion. The 2012 looks to be even better.",Ribbon Vale Vineyards,88,27.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Moss Wood 2011 Ribbon Vale Vineyards Semillon-Sauvignon Blanc (Margaret River),Semillon-Sauvignon Blanc,Moss Wood,#3A538B
+56335,Australia,"Roughly two-thirds Shiraz, the 2006 Henry's Seven is a lush, full-bodied blend that combines dark, feral notes of cola and cured meats with brighter red-fruit flavors and an herbal tinge. It's a bit warm on the finish, but that only serves to accentuate its spicy complexity. Drink now–2012.",Henry's Seven,91,35.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Henschke 2006 Henry's Seven Red (Barossa),Red Blend,Henschke,#3F4788
+56438,Australia,"Katnook's top-of-the-line Cab, the Odyssey, already seems mature, with a touch of brick to its color and some dried fruit flavors. But even if this won't improve further, it's at a lovely spot right now, with a lush, creamy texture, pillowy-soft tannins and wonderful cedar and cigarbox notes. Drink now–2010.",Odyssey,92,60.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Katnook Estate 2002 Odyssey Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Katnook Estate,#471163
+56439,Australia,"Folks who enjoy herbal complexities in their Cabernet shouldn't pass this wine up. Aromas of roasted peppers, eucalyptus and cassis verge on vegetal, but the flavors are more refined, layering rich chocolaty notes over cassis and hints of green pepper. It's only medium-bodied, but still packs in plenty of intensity, evidenced on the long, silky finish. Drink now–2020.",Dry Red Wine No. 1,92,75.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2004 Dry Red Wine No. 1 Red (Yarra Valley),Cabernet Blend,Yarra Yering,#23A883
+56443,Australia,"From a somewhat difficult vintage, Stephen and Prue Henschke have turned out a wonderful Cab. Eucalyptus, tobacco and cherry aromas lead the way, followed by flavors that add a deep undercurrent of cassis. It's a big, thickly textured wine, with a long, berry-inflected finish. Not that tannic, it should nevertheless drink well through at least 2015.",Cyril Henschke,92,100.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2003 Cyril Henschke Cabernet Sauvignon (Eden Valley),Cabernet Sauvignon,Henschke,#471163
+56451,Australia,"Howard Park's single-vineyard wines continue to impress for their value and consistency. The 2004 Leston is a richly textured, velvety Cab, marked by earthy, loamy scents and classic cassis, vanilla and tobacco flavors. Drink 2009–2015.",Leston,91,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Howard Park 2004 Leston Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Howard Park,#471163
+56454,Australia,"This wine is much more convincing than Jenke's 2005 Cabernet, reinforcing the concept that Barossa Cab typically performs better in cooler years (2002 was the coolest on record). It's still broad and mouthfilling, but the plum and cassis flavors stay this side of overripe, buttressed by plenty of smoke, vanilla and spice. Long and savory on the finish. Drink now–2015. Imported by 34th Parallel, LLC.",,91,29.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Jenke 2002 Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Jenke,#471163
+56458,Australia,"The 2004 is 89% Cabernet Sauvignon, 11% Merlot and 100% new French oak. There's plenty of fruit to back up the lavish oak treatment, but this wine needs 3–5 years to integrate its cassis fruit with the overlay of vanilla, chocolate and toasted coconut. It seems a bit coarsely textured at first, then smoothes out nicely with air, gaining length on the finish. Drink 2008–2015.",Coonawarra Estate Terra Rossa First Growth,91,70.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Parker 2004 Coonawarra Estate Terra Rossa First Growth Cabernet Sauvignon-Merlot (Coonawarra),Cabernet Sauvignon-Merlot,Parker,#345F8D
+56540,Australia,"Citrusy and fresh, this low-alcohol (11.5%) blend of 80% Sémillon and 20% Sauvignon Blanc strikes the right chord as an apéritif or fish complement. It's lean, lemony and long, with hints of toast and paraffin adding a modicum of complexity.",Red Bucket,87,13.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Longview 2006 Red Bucket Semillon-Sauvignon Blanc (Adelaide Hills),Semillon-Sauvignon Blanc,Longview,#3A538B
+56588,Australia,"This is a particularly earthy Pinot Noir. Beetroot and mushroom notes are dark and earthy, balanced by bright acids and supple tannins on the palate. The crisp, lean finish shows tremendous focus and length but less generosity. Drink 2018–2024.",Estate Grown,89,40.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2014 Estate Grown Pinot Noir (Yarra Valley),Pinot Noir,De Bortoli,#414286
+56828,Australia,"Appropriately restrained and even a bit austere, this is a firm, dusty-textured Cabernet. Vanilla, tobacco and cherry notes start things off and extend through the long finish. It offers at least a decade of aging potential at a very reasonable price. Drink 2020–2030.",Miamup,91,23.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Howard Park 2013 Miamup Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Howard Park,#471163
+56831,Australia,"One of Fowles' best efforts, this wine shows ample vanilla and toast influences from oak, but those elements play a necessary role in supporting and defining the ripe peach and melon fruit. This is medium to full in body, with a soft, pillowy texture and a long finish.",Ladies Who Shoot Their Lunch Wild Ferment,91,35.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Fowles Wine 2014 Ladies Who Shoot Their Lunch Wild Ferment Chardonnay (Victoria),Chardonnay,Fowles Wine,#440154
+56832,Australia,"Full bodied, creamy and supple, this wine offers textbook aromas of cedar, tobacco and cassis. It brightens slightly on the palate, where cherry notes join the fun, then finishes long and softly dusty. Drink now–2028.",,91,21.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Fox Creek 2014 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Fox Creek,#471163
+56838,Australia,"Full-bodied, lush and supple in the mouth, this blend of 40% Grenache, 38% Shiraz and 22% Mataro is the Australian version of a barbecue wine, bursting with rich, ripe fruit. Chocolate, mocha and plum shadings dominate, ending on a soft, warm note. Drink now–2020.",The Strapper,91,19.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2013 The Strapper G-S-M (Barossa),G-S-M,Yalumba,#26818E
+56839,Australia,"Full bodied and richly tannic, this gives lie to the notion that all Grenache-based blends are easy quaffers. Dried spices and mixed berries include hints of clove and cracked pepper, finishing with some dry, chewy tannins. The assemblage is 49% Grenache, 29% Shiraz and 22% Mourvèdre. Drink 2020–2030.",,91,28.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2013 G-S-M (McLaren Vale),G-S-M,Yangarra Estate Vineyard,#26818E
+56953,Australia,"This inky, embryonic wine deserves to be cellared until at least 2025 and should drink well for at least 25 years after that. It takes its time opening up in the glass to reveal notes of grilled meat, vanilla and plum. In the mouth, it's full bodied and firmly built, with a wall of chewy tannins surrounding a deep ripe core.",Grange,99,850.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2010 Grange Shiraz (South Australia),Shiraz,Penfolds,#471669
+56956,Australia,"You may have to scour the country to secure some of this (only 14 cases were imported), but this is a treasure worth the search. It's full bodied without seeming overly rich or heavy, framing the lush notes of dark berries, grilled meat, mint and licorice with supple tannins. Spice-driven flavors linger elegantly on the lengthy finish. It's delicious now, but should age gracefully through 2030.",Andelmonde,97,95.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Standish 2012 Andelmonde Shiraz (Barossa Valley),Shiraz,Standish,#471669
+56957,Australia,"Thorn Clarke has taken its Shiraz to a new level with this single-vineyard wine, bottled only in exceptional vintages. The 100% new American oak gives this a classic Barossa profile, starting with vanilla, cedar and maple syrup-like notes and flowing seamlessly through ripe blackberry and plum flavors. It's full bodied, lush and creamy in texture, with a long, velvety finish. Drink now–2025, possibly beyond.",Ron Thorn Single Vineyard,96,89.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Thorn Clarke 2012 Ron Thorn Single Vineyard Shiraz (Barossa),Shiraz,Thorn Clarke,#471669
+56959,Australia,"Is this the Yin to Grange's Yang? The wines are completely different, yet almost always destined to be discussed together. The 2010 HoG is aromatic and bright, with raspberry and cranberry fruit notes, hints of mint and a pinch of peppery spice. It's full-bodied, but with elegant, supple tannins that ease gently into a long, crisp finish. Drink now–2030.",Hill of Grace,96,820.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2010 Hill of Grace Shiraz (Eden Valley),Shiraz,Henschke,#471669
+57006,Australia,"Long a steak house staple, Kangarilla Road's Shiraz mixes dark berries and plums with touches of cedar, caramel and vanilla. The creamy-textured tannins pick up just enough dustiness on the finish to match well with fatty cuts, like ribeyes. Drink now-2015.",,88,23.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kangarilla Road 2007 Shiraz (McLaren Vale),Shiraz,Kangarilla Road,#471669
+57007,Australia,"There's a healthy 8% Viognier in the blend, but this wine doesn't come across as overtly apricotty. Instead, it delivers big blueberries and blackberries on the nose and hints of plum and cola, with just a hint of raisining. It's full bodied—almost viscous in texture—balanced by crisp acids on the finish. Drink now-2016.",,88,27.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kangarilla Road 2008 Shiraz-Viognier (McLaren Vale),Shiraz-Viognier,Kangarilla Road,#462F7C
+57012,Australia,"Made in a mouthfilling, supple style, this cheerful blend is easy to like and easy on the pocketbook. Black cherry and vanilla notes are perhaps a little simple, but carried along by a rich, creamy mouthfeel and a lingering finish, they make for a satisfying glass of hearty red. Drink now-2014.",Memsie Shiraz-Malbec-Cabernet Sauvignon,88,15.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Water Wheel 2008 Memsie Shiraz-Malbec-Cabernet Sauvignon Red (Bendigo),Red Blend,Water Wheel,#3F4788
+57174,Australia,"For a wine that didn't go through malolactic fermentation, this is thickly textured, almost pulpy, lacking a bit of vibrance. The pineapple fruit is weighty, but one-dimensional.",,83,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Aurora 2006 Chardonnay (McLaren Vale),Chardonnay,Aurora,#440154
+57203,Australia,"Pretty textbook cool-climate Chardonnay here, from the lovely aromas of toasted grain, white peach and pineapple, to the balanced alcohol levels, medium body and vibrant, citrusy finish. Drink now–2020.",The Lucky Lizard,90,32.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2013 The Lucky Lizard Chardonnay (Adelaide Hills),Chardonnay,D'Arenberg,#440154
+57418,Australia,"A silky, easy-drinking Pinot Noir, with all of the expected complexity and tender texture expected in a very good example. The cherry and vanilla notes offer enough leafy, mushroomy, earthy complexity to satisfy. Ready to drink now and over the next few years.",,88,50.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Yabby Lake Vineyard 2008 Pinot Noir (Mornington Peninsula),Pinot Noir,Yabby Lake Vineyard,#414286
+57426,Australia,"This is the rarest of all finds: a high-quality Pinot Noir at an everyday price. It's medium bodied and crisp, with ample complexity that blends smoke, cedar, cola and black cherry notes. With its reasonably firm finish, it might be interesting to try in another year or two, although it's ready to drink now.",Vision,88,12.0,Victoria,King Valley,,Joe Czerwinski,@JoeCz,Nugan Family Estates 2010 Vision Pinot Noir (King Valley),Pinot Noir,Nugan Family Estates,#414286
+57540,Australia,"Most of this skin-fermented blend of 64% Semillon and 36% Sauvignon Blanc spent four months in new oak. The result is aromatically restrained, but full-bodied and a bit oily in texture. Hints of marmalade and white pepper appear on the palate, lingering through the long, dusty-with-tannins finish.",Amber,89,39.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2014 Amber Semillon-Sauvignon Blanc (Margaret River),Semillon-Sauvignon Blanc,Cullen,#3A538B
+57729,Australia,"This silky-textured, medium-bodied wine starts off with aromas of toasted marshmallow and ripe citrus. The flavors show more range, covering hints of melon, white peach, lime, pineapple and roasted cashew, before finishing long and crisp.",Mappinga,91,25.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2015 Mappinga Chardonnay (Adelaide Hills),Chardonnay,Sidewood,#440154
+57776,Australia,"This wine's dark root beer and cola notes surround a core of plummy fruit. There's ample body and richness, supported by soft tannins and crisp acids, but the overall sense is one of immediate approachability.",,88,95.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2008 Pinot Noir (Yarra Valley),Pinot Noir,Yarra Yering,#414286
+58030,Australia,"This medium-bodied shiraz is remarkably fresh and vibrant, deftly blending maple syrup and smoke with red berries, then easing into a firm, dusty finish. Drink now–2025.",The McRae Wood,90,52.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2013 The McRae Wood Shiraz (Clare Valley),Shiraz,Jim Barry,#471669
+58034,Australia,"Interestingly, I preferred this winery's entry-level Cabernet (Blacksmith) to this one. The 2014 Jackaman is so supple and easy to drink that it lacks a bit of the Cabernet austerity that makes the variety so attractive with red meats. Vanilla, dill and cassis notes finish softly dusty. This is very smooth and polished in texture, maybe too much so for me.",Jackaman's,90,69.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2014 Jackaman's Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Langmeil,#471163
+58212,Australia,"The cool Coonawarra region can produce Shiraz with more elegance and complexity than is seen in hot regions, and this is a fine example, balancing ample weight with juicy acidity. Toasty oak frames flavors of cassis and mint, blackberry and spice. Drink this great value from now–2020.",Hyland,91,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2005 Hyland Shiraz (Coonawarra),Shiraz,Penley Estate,#471669
+58218,Australia,"Unusually complex for a wine in this price range, marrying grilled peaches with hints of toasted hazelnut and bacon fat, and wrapped in a layer of cedary, vanilla-scented oak. Medium-bodied, with a long, subtly oaky finish.",,90,15.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Chateau Reynella 2005 Chardonnay (McLaren Vale),Chardonnay,Chateau Reynella,#440154
+58226,Australia,"There's nothing to dislike about the 30th anniversary release of this iconic Australian wine—only the price is hard to swallow. Cedar, earth and mint frame the nose, while the dark-fruit and rich cola flavors ease across the palate in a wave of creamy tannins. It even firms up a little on the finish; could age until 2020.",Black Label,90,70.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wolf Blass 2002 Black Label Red (South Australia),Red Blend,Wolf Blass,#3F4788
+58328,Australia,"Smoky and herbal upfront, this is a light-bodied wine with silky-soft tannins. The flavors are on the savory side, ranging from hickory smoke and hung game to dried mint and thyme. Worth trying with roasted or braised lamb.",Applejack Vineyard,87,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2012 Applejack Vineyard Pinot Noir (Yarra Valley),Pinot Noir,Giant Steps,#414286
+58381,Australia,"This medium-bodied wine is a bit austere and crisp, with cherry fruit accented by hints of mint and beetroot.",Windy Peak,85,18.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2012 Windy Peak Pinot Noir (Yarra Valley),Pinot Noir,De Bortoli,#414286
+58393,Australia,"Reasonably complex for such an inexpensive wine, with crunchy red-berry fruit framed by slightly unintegrated timber notes. Without much tannic structure, the alcohol shows a bit of warmth on the finish.",Bin 50,85,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Lindemans 2013 Bin 50 Shiraz (South Eastern Australia),Shiraz,Lindemans,#471669
+58517,Australia,"Matured in 70% new French oak for six months, this is quite different from most Margaret River versions of this blend. It's more like a white Graves, with a silky mouthfeel and ripe, restrained fruit notes of fig and melon that linger on the finish.",Ephraim Clarke,92,35.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2014 Ephraim Clarke Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Cullen,#3C4E8A
+58552,Australia,"This is a rustic style of Shiraz, with hints of beef bouillon and cola layered over earth and plum notes. Chewy tannins bring it home, suggesting a pairing with rare roasts.",,85,12.0,New South Wales,Western Plains,,Joe Czerwinski,@JoeCz,Ram's Leap 2005 Shiraz (Western Plains),Shiraz,Ram's Leap,#471669
+58555,Australia,"This is a clean and fruity Shiraz—and one that fits the Australian success formula almost predictably. Jammy blackberry and cassis fruit is framed by touches of oak-derived vanilla and spice, tannins are soft and the mouthfeel supple. It's well done, even if it lacks a certain degree of individuality.",,85,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Kono Barú 2005 Shiraz (South Eastern Australia),Shiraz,Kono Barú,#471669
+58557,Australia,"In a flight of inexpensive Australian Merlot, this wine stood out for its density and concentration. Which is not to say it's a big wine, but it does offer plenty of mixed berry fruit and hints of chocolate in a medium-bodied wine. Picks up some savory olive and coffee notes on the mouthwatering finish.",,85,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,McWilliam's Hanwood Estate 2005 Merlot (South Eastern Australia),Merlot,McWilliam's Hanwood Estate,#24848D
+58559,Australia,"Starts with aromas of clove, coffee and black olive, then adds brighter flavors of red berries on the palate before picking up some tea-like notes and a hint of chocolate on the finish. This medium-bodied Shiraz should prove versatile at the table.",,85,14.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Nugan Family Estates 2005 Shiraz (South Eastern Australia),Shiraz,Nugan Family Estates,#471669
+58566,Australia,"Made by Ben Glaetzer, the Heartland wines are meant to offer an affordable entry to the Epicurean portfolio. The Stickleback Red blends Cabernet Sauvignon with Shiraz and Grenache to make an attractive wine for everyday drinking. Some smoky notes frame black cherry and black olive fruit, while the texture is creamy on the midpalate, fading a bit on the finish.",Stickleback Red,85,12.0,South Australia,South Australia,,,,Heartland 2005 Stickleback Red Red (South Australia),Red Blend,Heartland,#3F4788
+58617,Australia,"This is the sort of Shiraz that forces tasters to re-examine their view of the variety as produced in Australia. It starts off with powerful aromas of cracked pepper and floral notes evocative of violets, then delivers explosively spicy flavors of pepper and licorice cushioned by ripe blackberries and a rich, supple texture. It's the best of New and Old Worlds. Drink 2010–2020 plus. Imported by USA Wine West.",Isolation Ridge Vineyard,93,30.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2004 Isolation Ridge Vineyard Shiraz (Frankland River),Shiraz,Frankland Estate,#471669
+58660,Australia,"In line with the winery style, this is lean and tight on the palate, a bit of a citrus laser blending lime and grapefruit. Try it with raw seafood dishes, like a fluke carpaccio or ceviche.",,89,22.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shaw and Smith 2014 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Shaw and Smith,#482172
+58670,Australia,"This blend of 63% Marsanne, 28% Viognier and 9% Roussanne is a warm, broad wine, ably reflecting its grape varieties and geographic origins. It's slightly toasty and honeyed on the nose, then delivers hints of toasted marshmallow and poached pear on the palate.",The Steading Blanc,89,35.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2013 The Steading Blanc White (Barossa Valley),Rhône-style White Blend,Torbreck,#4FC369
+58715,Australia,"Crisp and tightly wound, this is a relatively austere Cabernet with an astringent finish. Cassis emerges with enough airing, accompanied by tart cranberries, which act to accentuate the drying tannins. Try after 2020.",The High Trellis,86,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2013 The High Trellis Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,D'Arenberg,#471163
+58841,Australia,"The blended Pinot Noir from Dalrymple equals (or even exceeds) the single-vineyard bottlings on occasion. The 2012 is sturdy yet elegant, with ample weight joined by a silky texture on the long finish. It smells earthy, yet delivers cola, dark cherry and plum flavors.",Pipers River,91,35.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Dalrymple 2012 Pipers River Pinot Noir (Tasmania),Pinot Noir,Dalrymple,#414286
+58894,Australia,"To be fair, the Cabernet Franc portion of this wine is only 3%, so don't expect to be bowled over by Loire-like florals or leafiness. Rather, it's a dense full-bodied wine, savory in style, with edgings of charred meat, grilled plum, mocha and a long cocoa-tinged finish. Drink 2020–2030.",Emily's Paddock Shiraz-Cabernet Franc,93,125.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Jasper Hill 2014 Emily's Paddock Shiraz-Cabernet Franc Red (Heathcote),Red Blend,Jasper Hill,#3F4788
+58956,Australia,"This is surprisingly tough and tannic for a wine that incorporates 8% of a white variety. But those mouth-drying tannins give shape to the cassis, cranberry and black olive notes. Take a chance by cellaring this rather austere wine for five years or so and see how it develops.",The Wild Pixie,90,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2009 The Wild Pixie Shiraz-Roussanne (McLaren Vale),Shiraz-Roussanne,D'Arenberg,#79D151
+58963,Australia,"This is a cool, restrained style of Cabernet, which nonetheless manages to pull in ripe flavors of cassis and chocolate. The tannins are svelte and modestly textured, while the flavors turn slightly tart on the cedary finish. Already approachable, but it should drink well through at least 2020.",,90,70.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cape Mentelle 2010 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Cape Mentelle,#471163
+58966,Australia,"This impressive offering is crystal-clean and direct, with green apple, lime and petrichor notes that typify Riesling. It's medium bodied and fully dry, with a long, lime-riddled finish. Drink it over the next decade or so.",,90,20.0,Western Australia,Mount Barker,,Joe Czerwinski,@JoeCz,Plantagenet 2011 Riesling (Mount Barker),Riesling,Plantagenet,#443982
+58973,Australia,"This is a medium-weight, supple Cabernet with bright acids that's seemingly designed for early drinking. Perfumed notes of mint, vanilla, brown sugar and cassis lead the way, followed by similar flavors and ample oak.",Menzies The Cigar,90,25.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Yalumba 2010 Menzies The Cigar Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Yalumba,#471163
+59002,Australia,"The blend is approximately 50-50 in this full-bodied but firm, slightly closed wine. The cassis, cedar and vanilla aromas and flavors are spot on, so just give it another year or two to soften. Drink 2017–2025.",Spice Trader,88,17.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Heartland 2013 Spice Trader Shiraz-Cabernet Sauvignon (Langhorne Creek),Shiraz-Cabernet Sauvignon,Heartland,#460B5E
+59013,Australia,"The cuttings for this vineyard were taken from the Old Garden Vineyard, so despite it's relatively young age, it has pedigree. Sage, smoke and black olive notes mingle easily on the nose, backed by flavors of vanilla, black cherry and mocha. It's medium to full in body and creamy in texture, with a smooth, silky finish.",Baby Bush,91,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Hewitson 2014 Baby Bush Mourvèdre (Barossa Valley),Mourvèdre,Hewitson,#83D34B
+59267,Australia,"This medium-bodied blend of 50% Cabernet and 50% Merlot features decent cassis fruit marked by herbal touches. A hint of raisin is balanced by minty freshness, and the wine finishes a bit short.",Hell Raiser,84,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yarraman 2005 Hell Raiser Cabernet Merlot (South Eastern Australia),Cabernet Merlot,Yarraman,#365B8C
+59425,Australia,"A fairly full-bodied, broad wine, with aromas and flavors of honeyed peach and pineapple. Could use a little length to its finish and complexity to its flavors, but this is a pleasant, easy-drinking style.",Reserve,85,21.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Tyrrell's 2006 Reserve Chardonnay (Hunter Valley),Chardonnay,Tyrrell's,#440154
+59433,Australia,"Peach, pear and melon notes on the nose and in the mouth are tinged with some slightly herbal (fennel?) notes, turning tart and citrusy on the finish. It's a pleasant, medium-bodied quaff for the summer months.",Shadow's Run Unwooded,85,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Fox Creek 2007 Shadow's Run Unwooded Chardonnay (McLaren Vale),Chardonnay,Fox Creek,#440154
+59442,Australia,"An effusively fruity, unoaked style of Chardonnay, with bold flavors of pear, apple and citrus and maybe even a touch of mango. Its charms are upfront for all to see, as it loses a bit of intensity and lacks length on the finish.",Dragon,85,14.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Xanadu 2006 Dragon Chardonnay (Margaret River),Chardonnay,Xanadu,#440154
+59453,Australia,"This is a herbaceous expression of Shiraz from the under appreciated Heathcote region of Victoria, and made by Emily Laughton, daughter of the well-regarded Jasper Hill family. Mint and green herbs mingle with potpourri, juicy fruit, and charred oak characters. Tannins are tightly wound at the moment, but the wine is well balanced and here for the long haul. Drink 2020–2032.",,90,62.0,Victoria,Heathcote,,,,Occam's Razor 2014 Shiraz (Heathcote),Shiraz,Occam's Razor,#471669
+59455,Australia,"A red cherry aroma is interwoven with violets and dried herbs. The supple palate of juicy fruit is balanced by silky tannins and a medium mouthfeel, followed by a herbal finish.",The Experiment Estate Single Vineyard,90,36.0,South Australia,McLaren Vale,,,,Penny's Hill 2015 The Experiment Estate Single Vineyard Grenache (McLaren Vale),Grenache,Penny's Hill,#481C6E
+59456,Australia,"Complexity and longevity are the name of the game here. This shows a restrained nose of melon, smoke, nuts and a little buttery oak. The palate is really where it's at, weaving those same flavors seamlessly together. With a chalky texture and a good lick of acidity, everything is in balance here, setting this wine up for plenty of years of life. Drink now–2025.",Finisterre,90,30.0,Western Australia,Margaret River,,,,Robert Oatley 2016 Finisterre Chardonnay (Margaret River),Chardonnay,Robert Oatley,#440154
+59576,Australia,"Like the D&J; Chardonnay, this is a readily approachable, easy-drinking wine with good varietal character. Cassis fruit dominates, accented by slightly herbal notes suggestive of mint. The tannins are supple, adding an appropriately dusty edge to the finish. Drink now–2012.",Darby & Joan,87,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,R Wines 2008 Darby & Joan Cabernet Sauvignon (South Australia),Cabernet Sauvignon,R Wines,#471163
+59600,Australia,"This is a crisp, tart and somewhat ungenerous example of Australian Pinot Noir. It's lean and wiry, with a solid sinew of pie-cherry fruit, so maybe it just needs time, as it seems otherwise well made.",Giles,86,67.0,South Australia,Lenswood,,Joe Czerwinski,@JoeCz,Henschke 2010 Giles Pinot Noir (Lenswood),Pinot Noir,Henschke,#414286
+59702,Australia,"Full bodied and rich, with extravagant mint, chocolate, cassis, coffee and cedar notes that come close to going over the top, kept in check by muscular tannins that impart the texture of fine powder to the wine's lengthy finish. Drink 2012–2020.",Green's Vineyard,93,70.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2007 Green's Vineyard Shiraz (Barossa Valley),Shiraz,Kilikanoon,#471669
+59703,Australia,"Sourced from Kilikanoon's home region of Clare, this is a lush, creamy-textured Shiraz of chocolaty richness, balanced by notes of black olive, plum and mocha. It's intense but not overbearing, with lingering notes of dark fruit and spice on the finish. Drink now–2020.",Oracle,93,70.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2007 Oracle Shiraz (Clare Valley),Shiraz,Kilikanoon,#471669
+59753,Australia,"Minty and raisiny on the nose, with Port-like elements of dried fruit and high (15.0%) alcohol. Still, it shows the variety's trademark delicate structure and silky texture.",Cornella Vineyard,87,45.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Jasper Hill 2007 Cornella Vineyard Grenache (Heathcote),Grenache,Jasper Hill,#481C6E
+59893,Australia,"VMR stands for Viognier, Marsanne and Roussanne, which are blended together in this flamboyantly floral version of a Rhône-style white. Apricot, melon and citrus flavors strike the palate with a lush, almost oily impression, yet finish long and crisp. Drink now.",VMR,90,18.0,South Australia,South Australia,,,,The Black Chook 2006 VMR White (South Australia),White Blend,The Black Chook,#32638D
+59933,Australia,"Full-bodied and supple in texture, this plummy Shiraz offers plenty of enjoyment at a realistic price. Vanilla and brown sugar notes frame blueberries and spice, with just a hint of bitterness apparent on the finish. Drink now–2012.",The Parson's Nose,89,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Chapel Hill 2008 The Parson's Nose Shiraz (McLaren Vale),Shiraz,Chapel Hill,#471669
+59943,Australia,"Marked by modest apple and pear fruit on the nose, this is a fairly richly textured but dry example of Pinot Gris. It's not the most complex wine, but it fills the mouth with ripe tree fruits and a slightly warm finish. Drink now. 500 cases imported.",,88,15.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Innocent Bystander 2009 Pinot Gris (Victoria),Pinot Gris,Innocent Bystander,#23888D
+59962,Australia,"This blend of 54% Grenache, 28% Shiraz and 18% Mourvèdre often offers solid value. The 2009 features hints of mocha, vanilla and red plum on the nose, accented by a pinch of peppery cinnamon. In the mouth, it's medium to full in body and richly textured without being over the top, then ends on a warming spice note. Drink now and over the next few years.",Avignon,90,35.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kaesler 2009 Avignon Red (Barossa Valley),Rhône-style Red Blend,Kaesler,#2A768E
+59977,Australia,"This is a top example of the classic Australian blend. Cabernet (57%) provides cigar box aromas and elongates the finish, while Shiraz (43%) fills out the midpalate. The combination is full-bodied yet muscular, generous yet firmly structured. Essence of cassis is framed by hints of vanilla and cedar, while the long finish shows off chewy tannins and mouthwatering acids. Drink 2023–2035, and posssibly beyond.",The Peake,96,150.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hickinbotham 2013 The Peake Cabernet-Shiraz (McLaren Vale),Cabernet-Shiraz,Hickinbotham,#8DD644
+59984,Australia,"This is a throwback to those brash, flavor-exuding Aussie wines of the past. Flashy, sweet-scented oak (think maple syrup and toasted coconut) marks the nose, while concentrated cassis and vanilla flavors coat the palate. This is big, but gorgeously so, with velvety-rich tannins and a long, plush finish. No, there's nothing subtle about this blend of 60% Cabernet and 40% Shiraz, but sometimes subtlety is overrated. Drink now–2030.",One,95,95.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Heartland 2013 One Red (Langhorne Creek),Red Blend,Heartland,#3F4788
+60034,Australia,"A perennial favorite, Leeuwin's 2008 is another success, marrying ample weight and texture with easy elegance. Notes of toasted hazelnuts and grilled tropical fruit mingle into an opulent parfait of flavor that's held together by bright acidity, while a lingering veil of smoke hangs on the finish.",Art Series,93,89.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2008 Art Series Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+60155,Australia,"A lightweight, supple Pinot with decent varietal definition, Salitage's Treehouse Pinot features slightly herbal notes of brown sugar and cherries, then fades quickly on the finish. Drink now.",Treehouse,84,20.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Salitage 2005 Treehouse Pinot Noir (Pemberton),Pinot Noir,Salitage,#414286
+60160,Australia,Roast beef and black cherry notes open this juicy example from South Australia. Fresh but diffuse fruit notes dominate the crisp palate and lead to a cherry-flavored finish that lacks persistance. Drink now.,,84,12.0,South Australia,South Australia,,,,Razor's Edge 2006 Shiraz (South Australia),Shiraz,Razor's Edge,#471669
+60169,Australia,"A fruit-challenged nose makes for an unpromising begining. Thankfully, things pick up in the mouth, with cherry cola and wet earth overlaying hints of barnyard and grilled nuts. Solid, if somewhat uninspiring.",Deen De Bortoli Vat 9,84,13.0,Australia Other,South Eastern Australia,,,,De Bortoli 2006 Deen De Bortoli Vat 9 Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,De Bortoli,#471163
+60270,Australia,"A relatively restrained, minerally version of Australian Chardonnay, with a touch of graphite to the crisp pear aromas. Some gently toasted nut notes impart richness of texture and complexity on the palate. Long and slightly tannic on the finish, this could develop well over the next 2–3 years.",Reeves Point,90,28.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2004 Reeves Point Chardonnay (South Australia),Chardonnay,Jacob's Creek,#440154
+60278,Australia,"Fans of structured Chard should give this a try. Ripe citrus flavors are subtly framed by toasty oak in a medium-bodied wine that finishes crisp and minerally. Good now, but should last through 2010.",Single Vineyard,90,27.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Wise 2005 Single Vineyard Chardonnay (Western Australia),Chardonnay,Wise,#440154
+60310,Australia,"Scents of singed orange peel, roasted nuts and lemon curd are promising, but are followed up by rather crisp, ungenerous lemon flavors. There's a silky textural element on the palate and a long finish, so it may yet come around.",,86,35.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yeringberg 2014 Chardonnay (Yarra Valley),Chardonnay,Yeringberg,#440154
+60416,Australia,"Full-bodied and embued with tannins supple to the point of creaminess, this dark-fruited Shiraz offers flavors of leather, cola, espresso and bits of black olive and tar. Ready to drink.",Barking Mad,88,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Reilly's 2006 Barking Mad Shiraz (Clare Valley),Shiraz,Reilly's,#471669
+60518,Australia,"This young, fruit-driven sparkling red delivers the party in a bottle. Currants and black cherries abound, accented by touches of cigar box and vanilla, while the palate is ripe and creamy-textured. Drink now.",Sparkling,89,18.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Paringa 2015 Sparkling Shiraz (South Australia),Shiraz,Paringa,#471669
+60552,Australia,"Starts with scents of pear and melon, butter and spice, but takes on an ever-larger oak presence in the mouth, adding more and more wood spice and cedar. Not sure if this will ever completely integrate, so the best bet seems to be drinking earlier rather than later.",M3 Vineyard,88,30.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shaw and Smith 2005 M3 Vineyard Chardonnay (Adelaide Hills),Chardonnay,Shaw and Smith,#440154
+60630,Australia,"This wine displays peppery, spicy, briery fruit sweetness without discernible berry character. It's silky and plump on the palate, making it easy to drink in the near term.",Bistro,89,22.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Epicurean 2011 Bistro Grenache (McLaren Vale),Grenache,Epicurean,#481C6E
+60638,Australia,"Earthy and tarry at first, this is a firmly structured Shiraz. Peppery notes accent blueberry and blackberry fruit along the way to a slightly abbreviated finish. Try in 2016.",Amery Vineyard Basket Pressed,89,40.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kay Brothers 2010 Amery Vineyard Basket Pressed Shiraz (McLaren Vale),Shiraz,Kay Brothers,#471669
+60750,Australia,"This wine may lack the dramatic power of its top-flight brethren, but it still satisfies, delivering reasonably complex notes of cherries, rhubarb and olive carried by silky tannins and moderate alcohol. Drink this terrific value over the next year or two.",,89,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Milton Park 2009 Shiraz (South Australia),Shiraz,Milton Park,#471669
+60759,Australia,"Not the darkest, biggest or richest Shiraz to ever come out of Australia, this is nevertheless a delightful wine. A green peppercorn note accents red raspberry and cherry fruit, with just a hint of vanilla in the background. Drink it over the next year or two.",Made with Organic Grapes,89,16.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2010 Made with Organic Grapes Shiraz (South Australia),Shiraz,Yalumba,#471669
+60764,Australia,"This wine almost quivers with freshness when first sniffed, it's so vibrant and citrusy. Then it broadens out nicely on the palate, delivering ripe melon and apple flavors and ample weight. Drink it now and over the next few months.",,89,23.0,South Australia,Kangaroo Island,,Joe Czerwinski,@JoeCz,Hazyblur 2010 Pinot Gris (Kangaroo Island),Pinot Gris,Hazyblur,#23888D
+60798,Australia,"Broad on the palate and seemingly even a bit warm in alcohol, this lacks the spine and concentration of the Art Series bottling yet still remains a bold, authoritative example of Margaret River Chardonnay. Apple, pear and melon notes all swirl together before finishing in a whirl of smoke. Drink now.",Prelude Vineyards,88,36.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2009 Prelude Vineyards Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+60899,Australia,"Shows some of the warmth of the vintage in its elevated alcohol levels and high-toned fruit. It's full-bodied and supple, with flavors of brandied plums and baking spices. Drink it over the next few years.",William Randell,89,40.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Thorn Clarke 2008 William Randell Shiraz (Barossa Valley),Shiraz,Thorn Clarke,#471669
+60904,Australia,"This is a classically styled Coonawarra Cab, with ample cassis, cedar and mint wrapped up into a balanced, well-proportioned whole. The Katnook style favors silky tannins over power, making this elegant Cabernet one to drink over the next several years.",Founder's Block,89,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Katnook Estate 2009 Founder's Block Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Katnook Estate,#471163
+61024,Australia,"Comes across as a bit sweet and soft, with tropical fruit and a lush, creamy texture. Clean and well made, but lacks complexity and length.",Emeri Sparkling Pinot Grigio,84,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli NV Emeri Sparkling Pinot Grigio Sparkling (South Eastern Australia),Sparkling Blend,De Bortoli,#38578C
+61034,Australia,"Penfolds' entry-level Chardonnay is a medium-bodied, easy-drinking wine with modest fig and anise notes. Drink up.",Koonunga Hill,84,11.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2009 Koonunga Hill Chardonnay (South Australia),Chardonnay,Penfolds,#440154
+61114,Australia,"A new wine from the next generation of Barry boys (Tom and Sam), this is a blend of 70% Shiraz and 30% Cabernet Sauvignon. It's a bit herbal, but the bright red-fruit notes win out in the end. Hints of raspberries linger through the finish, whose slightly earthy, gritty tannins would pair well with simple grilled meat dishes—burgers, anyone?",The Barry Bros,87,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2013 The Barry Bros Shiraz-Cabernet Sauvignon (Clare Valley),Shiraz-Cabernet Sauvignon,Jim Barry,#460B5E
+61148,Australia,"Oatley Wines, based in eastern Australia, sources a few bottlings from out west, like this flagship Cabernet. Cedar, tobacco and cassis mingle easily on the nose and palate, while the texture is supple, turning to silk on the long finish. Drink now–2028.",The Pennant,91,70.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Robert Oatley 2011 The Pennant Cabernet Sauvignon (Great Southern),Cabernet Sauvignon,Robert Oatley,#471163
+61149,Australia,"A terrific value if you can find it (alas, only 150 cases were imported), this is full bodied and richly textured, marrying hints of peppery spice with grilled lavender and rosemary that perfectly season the beach cherry and mocha flavors. It's stout, tannic and mouth coating on the finish, ideal for matching with roasts or steaks. Drink 2018–2025.",Terra Barossa,91,15.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Thorn Clarke 2013 Terra Barossa Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Thorn Clarke,#471163
+61319,Australia,"This rosé blend of Grenache and Shiraz comes across as slightly herbal and grassy, with hints of thyme and eucalypt over ripe strawberry fruit. It's medium in body, with mouthwatering citrus notes on the finish.",,88,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cape Mentelle 2016 Rosé (Margaret River),Rosé,Cape Mentelle,#450558
+61395,Australia,"This is already showing some evolution in its color, displaying some lightening at its rim. The aromas are floral and tea-like, with subtle cinnamon and spice shadings, and the flavors follow along, resembling Wild Berry Zinger tea. It's medium in weight, with silky tannins and a softly dusty finish.",Basalt Block,90,15.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Hope Estate 2013 Basalt Block Shiraz (Hunter Valley),Shiraz,Hope Estate,#471669
+61464,Australia,"The Dead Arm is always firmly structured, making it one of the more challenging Shiraz to judge in its youth. The 2010 is full-bodied and chewy, characterized by dark, earthy and umami notes of roasted meat, asphalt and grilled mushrooms. The length and ripely tannic nature of the finish is reassuring. Drink 2018–2030.",The Dead Arm,90,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Dead Arm Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+61643,Australia,"An excellent value, the 2008 Gold Label Shiraz is a full-bodied, powerfully built wine, filled out by cassis, chocolate and tobacco flavors. It's long and velvety on the finish, not just an upfront powerhouse. Drink now–2020.",Gold Label,91,25.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Wolf Blass 2008 Gold Label Shiraz (Barossa),Shiraz,Wolf Blass,#471669
+61645,Australia,"This ripe Grenache is full-bodied and fruit-driven, but seems to have the stuffing to last at least 3–4 years. Cherry-berry flavors are punched up by herb and spice shadings that linger on the finish.",Bush Vine,91,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Chapel Hill 2008 Bush Vine Grenache (McLaren Vale),Grenache,Chapel Hill,#481C6E
+61665,Australia,"Herbal and stemmy (100% whole-bunch fermented), this is a bit of an outlier in the world of Australian Pinot Noir. It's light to medium in weight, with gentle tannins and tart cherry fruit. Oak takes the form of mocha on the finish. My initial impression was “simple but appealing,” but upon reflection perhaps it just needs more time to show its stuff.",Chemin,87,36.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Punt Road 2013 Chemin Pinot Noir (Yarra Valley),Pinot Noir,Punt Road,#414286
+61905,Australia,"This Pinot Gris is marching to the beat of its own drum, with some funky aromas and toast notes along with lemon and pear fruit. It's a tad volatile in the mouth but has some nice depth of flavor and a lingering cashew finish. Likeable for its originality.",Individual Vineyard Selection,86,18.0,South Australia,Eden Valley,,,,Pewsey Vale 2008 Individual Vineyard Selection Pinot Gris (Eden Valley),Pinot Gris,Pewsey Vale,#23888D
+61923,Australia,"This South Eastern Australia Chard packs quite a punch for the price. The nose is fresh but subtle, with hints of hand soap and cut apples. There's a luxurious quality to the palate that melds well with flavors of almond and pear and carries over to the silky, medium finish. Winds up on a note of tropical fruit. Drink now through 2011.",Estate Range,86,9.0,Australia Other,South Eastern Australia,,,,Beelgara 2008 Estate Range Chardonnay (South Eastern Australia),Chardonnay,Beelgara,#440154
+62050,Australia,"You might not know it from this wine's rather austere exterior, but this is actually from a warm site within the cool Yarra Valley. It's a restrained, slightly herbal blend of 62% Cabernet, 27% Merlot and 11% Petit Verdot that finishes with a tough mouthful of tannin. Hold it for another 3–4 years and hope that the fruit holds up.",Harry's Monster,89,30.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2006 Harry's Monster Red (Yarra Valley),Bordeaux-style Red Blend,Giant Steps,#1F938B
+62058,Australia,"There's a slightly charry, roasted or asphalt top note to this wine's aromas, but the wine's flavors are an intriguing mix of cola, rhubarb and red berries, ending with mouthwatering raspberries coming to the fore. It's a full-bodied, creamy-textured wine that should be enjoyed over the next few years.",,89,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2007 Shiraz (Clare Valley),Shiraz,Wakefield,#471669
+62213,Australia,"A solid value, the 2013 Shoofly is an open-knit, savory wine for drinking over the next year or two. Cola and earth predominate, dressed up by hints of dried spices and green coffee bean.",,87,14.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Shoofly 2013 Pinot Noir (Yarra Valley),Pinot Noir,Shoofly,#414286
+62335,Australia,"This full-bodied, almost liquorous rendering of Mourvèdre is packed with fruit, power and finesse. Aromas of smoke, vanilla and graham crackers frame flavors of jammy blackberries and cassis. These finish with some alcoholic warmth yet remain plush and elegant. Drink now–2025.",The Pict,94,75.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2013 The Pict Mataro (Barossa Valley),Mataro,Torbreck,#70CE56
+62372,Australia,"Like all of the 2006 Garden offerings from Two Hands, this one is full-bodied, creamy and makes a slightly sweet impression on the palate because of its combination of high alcohol (15.2%) and superripe fruit. Cedary, spicy oak accents raspberry and cassis flavors, which persist on the long finish. Drink now–2011.",Harry & Edward's Garden,90,60.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Two Hands 2006 Harry & Edward's Garden Shiraz (Langhorne Creek),Shiraz,Two Hands,#471669
+62515,Australia,"Toasty, mealy aromas combine with peach and smoke in a beguiling, complex nose that resembles a fine Chassagne-Montrachet. Flavors of peach and citrus coat the palate without ever seeming overly rich, heavy or oily, extending through the long ripe-citrus finish.",Picadilly,91,31.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Grosset 2000 Picadilly Chardonnay (Adelaide Hills),Chardonnay,Grosset,#440154
+62556,Australia,"An icon in Australia, Mount Mary has never made a huge splash here in the States. Perhaps because such miniscule quantities are available (30 cases of the 2005 Quintet). The 2005 Quintet presents as a medium-bodied, nicely rounded Bordeaux-style blend, marrying cedary, meaty notes with cherry fruit and graced with touches of cinnamon and mushroom. It's nicely balanced and reasonably complex; ready to drink now.",Quintet,88,145.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Mount Mary 2005 Quintet Red (Yarra Valley),Bordeaux-style Red Blend,Mount Mary,#1F938B
+62604,Australia,"Simple, confected fruit flavors mark this youthfully aggressive blend. There's plenty of intensity, just a lack of focus to its rambunctious fruit.",dB Selection Shiraz-Cabernet,83,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2007 dB Selection Shiraz-Cabernet Shiraz-Cabernet Sauvignon (South Eastern Australia),Shiraz-Cabernet Sauvignon,De Bortoli,#460B5E
+62613,Australia,"This 75-25 blend is pretty neutral in character; with effort, it's possible to suss out hints of fresh dill, bergamot and graphite. The wine just seems too restrained for its own good.",,83,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse River 2006 Semillon-Sauvignon Blanc (Margaret River),Semillon-Sauvignon Blanc,Vasse River,#3A538B
+62616,Australia,"This cleanly made Shiraz boasts decent aromas and flavors of blackberries, chocolate and earth, but lacks weight on the palate and shows some heat on the finish.",,83,12.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Red Knot 2006 Shiraz (McLaren Vale),Shiraz,Red Knot,#471669
+62624,Australia,"This checks all the aromatic boxes for Riesling, hitting notes of spring flowers, stone fruit and citrus. Then it settles down on the palate, offering classic wet stone and lime sherbet flavors that would be classic, if only they lasted a little longer on the finish. Drink now–2025.",,88,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2014 Riesling (Clare Valley),Riesling,Wakefield,#443982
+62801,Australia,"D'Arenberg wines are typically quite structured, so this wine's full body and creamy texture come as a bit of a surprise. Earthy, loamy notes run alongside espresso, black olive and blueberry before finishing long and silky. Drink now–2020.",Shipster's Rapture Single Vineyard,92,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 Shipster's Rapture Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+62806,Australia,"Already showing a touch of bricking at the rim, this tobacco-accented Cabernet is ready to drink. Dried leaf and cedar notes blend easily with red and black currants on the nose and palate, gliding to a smooth, cigar-box finish. It shows more restraint than other Cabernets of the vintage, but still packs in ample weight and power. Drink now–2020.",Amery Vineyard Cuthbert,92,60.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kay Brothers 2010 Amery Vineyard Cuthbert Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Kay Brothers,#471163
+62809,Australia,"Despite it's modest reported alcohol level, this is a plush, rounded example of Chardonnay, loaded with fruit. A whiff of woodsmoke frames pineapple and mango, adding complexity while still allowing the tropical notes to shine through. Drink now–2017.",Tarraford Vineyard,92,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2011 Tarraford Vineyard Chardonnay (Yarra Valley),Chardonnay,Giant Steps,#440154
+62837,Australia,"Bright gold in color, this wine's all about sweet tropical fruit, particularly pineapple and passion fruit. An undercurrent of smokiness on both the nose and the palate adds interest and complexity.",,85,8.0,Australia Other,South Eastern Australia,,,,Rothbury Estate 2002 Chardonnay (South Eastern Australia),Chardonnay,Rothbury Estate,#440154
+62840,Australia,"An approachable wine that starts off with floral, peachy aromas and ripe peach and yellow fruit flavors. On the back palate, there's a burst of tropical fruit, plus some oak. Easy to drink, and easily to like.",Bear Crossing,85,7.0,South Australia,South Australia,,,,Angove's 2002 Bear Crossing Chardonnay (South Australia),Chardonnay,Angove's,#440154
+62847,Australia,"Light in weight and subtle in flavor, this Chard is a welcome change from some of its mega-mallowy Oz compatriots. There are citrus and peach flavors on the palate and floral, yellow fruit aromas; it starts to get toasty with aeration.",,85,16.0,Western Australia,Western Australia,,,,Chalice Bridge 2001 Chardonnay (Western Australia),Chardonnay,Chalice Bridge,#440154
+62856,Australia,"Feels rather full in the mouth, but the flavors aren't as big as its body. Dry, citrusy notes (lemon peel, lemonade) play on the palate and the finish. Nose offers lots of toast and butterscotch.",,84,30.0,South Australia,Coonawarra,,,,Balnaves of Coonawarra 1999 Chardonnay (Coonawarra),Chardonnay,Balnaves of Coonawarra,#440154
+62857,Australia,"Rather dry in the mouth, with a minerally feel; flavors are similarly dry—think red apple skin, plus some pear. Has clarified butter and a plastic- or resin-like note on the nose, and toffee and cream on the finish.",,84,23.0,South Australia,Adelaide Hills,,,,Elysian Fields 2000 Chardonnay (Adelaide Hills),Chardonnay,Elysian Fields,#440154
+62916,Australia,"Light floral and honeysuckle aromas are very pretty and compelling, as is the wine's citrus-laden palate. What an introduction to the variety—it's a good value, it's correct, and it's dry. Worth keeping a few bottles around the house.",,87,10.0,Australia Other,South Eastern Australia,,,,Rosemount 2003 Riesling (South Eastern Australia),Riesling,Rosemount,#443982
+62918,Australia,"Bright, bouncy cherry and plum aromas; wood and earth are interspersed with mixed cherries on the palate. A straighforward, enjoyable Grenache.",Old Vine,87,18.0,South Australia,McLaren Vale,,,,Simon Hackett 2002 Old Vine Grenache (McLaren Vale),Grenache,Simon Hackett,#481C6E
+62919,Australia,"Pretty plum fruit and pencil-eraser aromas lead to similar flavors, with a light underlay of fresh herb. Finishes a little brief, though with gummy tannins.",,87,19.0,South Australia,McLaren Vale,,,,Tapestry 2001 Shiraz (McLaren Vale),Shiraz,Tapestry,#471669
+62920,Australia,"Mocha and coffee aromas preface a palate full of dark, earthy-briary character. Medium-bodied; closes with tangy, tealike tannins.",,87,18.0,South Australia,McLaren Vale,,,,Tintara 2003 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Tintara,#471163
+62925,Australia,"From vines planted in 1982 comes this sturdy red, which features cherry and plum flavors, smooth tannins, and an herb-anise fiish. Fresh red fruit aromas are a nice beginning.",,87,35.43766346992153,South Australia,McLaren Vale,,,,Coriole 2003 Sangiovese (McLaren Vale),Sangiovese,Coriole,#1E978A
+62927,Australia,"A fun, youthful wine. Juicy, chewy fruit on the palate isn't overpowered by lots of oak. Ripe plum and blackberry on the nose; finishes with less verve than the palate has.",d'Arry's Original,87,19.0,South Australia,McLaren Vale,,,,D'Arenberg 2002 d'Arry's Original Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,D'Arenberg,#2D6E8E
+62930,Australia,"Tangy melon and citrus flavors and a steely backbone characterize Merrill's reserve Chardonnay. There's oak here—mostly present on the nutty, toasty nose—but there's not much of it rounding out the palate, which makes it feel a little disjointed. Still, a very good wine.",Reserve,87,26.0,South Australia,McLaren Vale,,,,Geoff Merrill 1999 Reserve Chardonnay (McLaren Vale),Chardonnay,Geoff Merrill,#440154
+62931,Australia,"Another screwcapped Merrill wine that was once part of its Owen Estate label. This Shiraz (35%), Grenache (35%), Mourvedre (30%) offers plum and oak flavors, the latter of the fresh-cut pine sort. Still, the wine is forward, lively and a good value, and sports a flourish of black cherry on the end.",Sz-Gren-M,87,20.0,South Australia,South Australia,,,,Geoff Merrill 2001 Sz-Gren-M Red (South Australia),Rhône-style Red Blend,Geoff Merrill,#2A768E
+62935,Australia,"Vanilla and pepper aromas lead to sexy, vanilla and black cherry flavors on the palate and finish. A very good effort and an enjoyable wine, though a little heavy on the vanilla.",Old Vine,87,15.0,South Australia,McLaren Vale,,,,Normans 2002 Old Vine Grenache (McLaren Vale),Grenache,Normans,#481C6E
+62937,Australia,"The nose offers a host of red aromas, including stewy, almost tomatoey fruit, and pretty red pencil eraser. A medium-sized wine on the palate, this Shiraz reprises the familiar red berries-plum-earth-oak theme, but does it well.",Red Dot,87,18.0,South Australia,McLaren Vale-Langhorne Creek,,,,Penny's Hill 2003 Red Dot Shiraz (McLaren Vale-Langhorne Creek),Shiraz,Penny's Hill,#471669
+62941,Australia,"A very good year for the Diamond Label Shiraz. It's a chunky, sturdy red with mixed plums and a ribbon of mocha or chocolate from the nose through to the finish. Not overdone, and very enjoyable.",,87,12.0,Australia Other,South Eastern Australia,,,,Rosemount 2003 Shiraz (South Eastern Australia),Shiraz,Rosemount,#471669
+62942,Australia,"An easy-drinking, overt wine, but an enjoyable one. Aromas are vibrant and springy—flowers, lemon-lime, mineral. The palate offers up fleshy yellow fruit and stony-mineral accents that carry through the finish.",Brightview,87,15.0,South Australia,Barossa Valley,,,,Simon Hackett 2004 Brightview Chardonnay (Barossa Valley),Chardonnay,Simon Hackett,#440154
+62943,Australia,"Dark, smoky aromas have high-toned black cherry fruit underneath. On the palate, the smoke and black cherry continue, on a rather slight, feminine frame. A wine that will complement, not overpower, food.",Basket Pressed,87,24.0,South Australia,McLaren Vale,,,,Chateau Reynella 2002 Basket Pressed Grenache (McLaren Vale),Grenache,Chateau Reynella,#481C6E
+62944,Australia,"Offers predominantly pear aromas and flavors, with a minerally feel that continues through the finish. It's a light, clean quaff that's just right for drinks on the veranda. The Chenin comes from 5 or 6 area growers, one of whom has 82-year-old Chenin bushvines. BB?",,87,16.0,South Australia,McLaren Vale,,,,Coriole 2004 Chenin Blanc (McLaren Vale),Chenin Blanc,Coriole,#97D83E
+63417,Australia,"This Western outpost of Yalumba's empire has produced a supple Cabernet that's already approachable. Cedar, mocha and vanilla notes wreathe the red-berry fruit, giving this a woody but harmonious nature. Drink now–2025.",,90,22.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Ringbolt 2014 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Ringbolt,#471163
+63428,Australia,"This is a full-bodied, rich and round Cabernet Sauvignon. Juicy, mouthwatering cassis fruit is framed by cedar, vanilla and baking spices, while the finish showcases fine tannins. Given the quality of this wine, it's a shame that Wynns' high-end john Riddoch Cab doesn't get exported to the U.S.",Black Label,90,40.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Wynns Coonawarra Estate 2013 Black Label Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Wynns Coonawarra Estate,#471163
+63438,Australia,"This single vineyard wine is full bodied but crisp, with savory notes of roasted meat and campfire more in evidence than bold fruit. It finishes long and a bit tart.",The Vociferate Dipsomaniac Singe Vineyard,89,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 The Vociferate Dipsomaniac Singe Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+63549,Australia,"This is strongly marked by new oak on the nose at this stage, suggesting toast, brown sugar and coffee, but fruit comes through on the palate where hints of dark berries, cola, clove and cinnamon mingle. The wine is creamy and lush in texture, with ample weight and a lingering finish of dried fruit, vanilla and mocha. Drink from 2018 to 2025.",Coal River Valley Single Site,90,65.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Dalrymple 2012 Coal River Valley Single Site Pinot Noir (Tasmania),Pinot Noir,Dalrymple,#414286
+63562,Australia,"Tim Knappstein's decision to focus on the Adelaide Hills bears fruit in this terrific-value Pinot Noir. The aromas and flavors are a colorful mélange of beets, black cherries and purple heirloom tomatoes, backed by a rich texture and a long velvety finish. Drink now until 2020.",The Dagger,90,20.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Riposte 2014 The Dagger Pinot Noir (Adelaide Hills),Pinot Noir,Riposte,#414286
+63915,Australia,"Fresh berry-salad aromas suggest tart, just-ripe summer fruits in this medium-bodied Shiraz filled with crunchy fruit. It's forward and smashable in the best sense, even if it's not profound.",Basalt Block,88,14.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Hope Estate 2014 Basalt Block Shiraz (Hunter Valley),Shiraz,Hope Estate,#471669
+64015,Australia,"Although not indicated on the label, this is 100% Mourvèdre, bone dry and barrel fermented. As a result, it's not your typical fresh and fruity rosé, showing instead dark, complex flavors of cola, chocolate tree bark and earth. Hints of strawberry lighten it somewhat, but this is almost more red than rosé. Drink now–2008.",Saignée,90,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2006 Saignée Rosé (Barossa Valley),Rosé,Torbreck,#450558
+64020,Australia,"In a recent lineup of Australian sparklers, Clover Hill's 2003 Brut was a standout, showing convincing toasty, autolytic notes layered over crisp apple and citrus flavors. It's medium-bodied and slightly creamy in texture, with a long, crisp finish.",Brut,89,32.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Clover Hill 2003 Brut  (Tasmania),Champagne Blend,Clover Hill,#30678D
+64032,Australia,"This broad, mouthfilling Grenache rosé features hints of berries, chocolate and some herbaceous notes. It's more like a light red than a true rosé, showing considerable weight and body, then finishes dry, with a hint of minerality.",Enchanteur Rosé,89,25.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,The Colonial Estate 2006 Enchanteur Rosé Grenache (Barossa Valley),Grenache,The Colonial Estate,#481C6E
+64153,Australia,"A step up from the solid 2013, this vintage offers more vivid raspberry fruit and cracked pepper. It's a bit jammy, but then some dried spices emerge on the finish, reining things in and imparting welcome complexity. Drink now–2023.",Warboys Vineyard,92,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2014 Warboys Vineyard Grenache (McLaren Vale),Grenache,Angove,#481C6E
+64166,Australia,"Smoky, savory and plummy, this wine boasts ample weight and a plush, creamy texture. This rich, concentrated wine finishes with great length and silky tannins.",Warboys Vineyard,92,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2013 Warboys Vineyard Shiraz (McLaren Vale),Shiraz,Angove,#471669
+64169,Australia,"Meaty and savory, this is surprisingly full-bodied and supple for a Yarra Valley Syrah. Blackberry and spice notes balance out the meatiness, imparting a bright, mouthwatering juiciness to the long finish.",Under Woods Steels Creek,92,55.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Ben Haines 2013 Under Woods Steels Creek Syrah (Yarra Valley),Syrah,Ben Haines,#287A8E
+64263,Australia,"This is made in a full-blown style, with ripe peaches married to grilled nuts and plenty of toasty oak. Yet despite all of the fruit and oak intensity, there's crispness and structure as well, giving a sense of balance and elegance to the lingering citrus and cashew finish.",Reserve,91,60.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2006 Reserve Chardonnay (Yarra Valley),Chardonnay,Yering Station,#440154
+64400,Australia,"Toasty oak frames dark, earthy flavors in this Cabernet from Western Australia. Despite being medium to full in body, it turns crisp on the finish, an enjoyable contradiction highlighted by tart plum notes and hints of tapenade. Drink now–2018.",,89,29.0,Western Australia,Mount Barker,,Joe Czerwinski,@JoeCz,Plantagenet 2008 Cabernet Sauvignon (Mount Barker),Cabernet Sauvignon,Plantagenet,#471163
+64577,Australia,"The blend is 59% Shiraz, 41% Grenache in this medium-bodied, low-tannin red. The aromas are dark—black cherry and plum—but the flavors are redder and juicier, with raspberry notes backed by cinnamon and clove. The label may be a bit polarizing, but the wine inside is well made and a solid value.",Ass Kisser Fine Red Wine,87,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Rocland Estate 2005 Ass Kisser Fine Red Wine Red (South Australia),Rhône-style Red Blend,Rocland Estate,#2A768E
+64620,Australia,"A bold wine, loaded with bright acidity but balanced with plenty of good body. It's redolent of grapefruit, gooseberry, fig, melon, fresh cut hay, lemon and mandarine orange. Long and fresh on the finish.",,91,16.0,South Australia,Adelaide Hills,,,,Groom 2002 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Groom,#482172
+64635,Australia,"This wine lacks a bit of intensity, but otherwise shows reasonably complex flavors of dried cherries and old wine barrels and a supple, creamy texure. Turns a bit tart and astringent on the finish, limiting its appeal.",,84,28.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Alta 2006 Pinot Noir (Adelaide Hills),Pinot Noir,Alta,#414286
+64690,Australia,"A lean, crisp style of Chardonnay, with citrusy flavors and a touch of honeyed development. Drink it over the next few months.",Stone Cutting No Oak,87,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pauletts 2009 Stone Cutting No Oak Chardonnay (Clare Valley),Chardonnay,Pauletts,#440154
+64692,Australia,"A fruit-driven Cabernet, with cheerful, bright cherry-berry flavors. Tannins are firm but ripe, accenting the cassis-tinged close with a slightly dusty texture.",Cat Amongst the Pigeons Cat Walk,87,20.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Rosedale Wines 2009 Cat Amongst the Pigeons Cat Walk Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Rosedale Wines,#471163
+64708,Australia,"Wakefield (known as Taylors in Australia) was founded in Clare with the goal of producing world-class Cabernet Sauvignon, so it's no surprise this wine is a solid effort. Cassis and black-tea notes are carried easily by the medium body and dusty tannins that turn silkier on the finish. Drink now–2025.",,89,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2013 Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+64804,Australia,"Despite the presence of Shiraz and Mataro in the blend, this shows some of Grenache's shortcomings in its straightforward, almost confected red berry aromas and flavors. It's a bold mouthful of fruit that's a bit syrupy in texture.",Cuvée Juveniles,85,22.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2008 Cuvée Juveniles Red (Barossa Valley),Rhône-style Red Blend,Torbreck,#2A768E
+64809,Australia,"Known more for its red wines, Wolf Blass nevertheless makes a creditable Chardonnay for $12. hints of vanilla and toasted almond mark the nose, while the fruit flavors veer toward citrus and stay there, turning lemony on the finish.",Yellow Label,85,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wolf Blass 2009 Yellow Label Chardonnay (South Australia),Chardonnay,Wolf Blass,#440154
+64821,Australia,"Pineapples, pears and citrus fruits fall over each other in this soft, fruit-driven Chardonnay. It's medium in body, with just enough citrus on the finish to keep it together. A solid effort, especially for the price.",Reserve,85,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail 2008 Reserve Chardonnay (South Eastern Australia),Chardonnay,Yellow Tail,#440154
+64829,Australia,"Citrus and pear notes lead the way in this bargain-priced Chardonnay from Down Under. It's reasonably tight and crisp for a wine in this bracket, carrying hints of well integrated vanilla through the lemony finish. Drink now.",,85,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,St. Kilda 2009 Chardonnay (South Eastern Australia),Chardonnay,St. Kilda,#440154
+64914,Australia,"Another fine effort from Sidewood, a winery in the Adelaide Hills that is making some solid wines at realistic prices. Although this wine sees six months of French oak, the oak flavoring impact is minimal, and the wine shows ample fruit, ranging from pear and melon through peach and pineapple. It's a reasonably rich, fruity quaff for summertime drinking.",,88,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2013 Chardonnay (Adelaide Hills),Chardonnay,Sidewood,#440154
+64952,Australia,"Here's a restrained, woodsy interpretation of Cabernet Sauvignon at an accessible price point. It's crisp, with good berry fruit in the mouth and a short finish of barely ripe raspberries. Drink up.",,83,8.0,South Australia,South Australia,,,,Oxford Landing 2008 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Oxford Landing,#471163
+64984,Australia,"For the price, this is a remarkable achievement. It's a varietally correct, properly lightweight Pinot Noir imbued with attractive black cherry fruit. There's a charred-stave character that adds vanilla and a tinge of mocha as well. Drink now.",Reserve,85,13.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Jacob's Creek 2013 Reserve Pinot Noir (Adelaide Hills),Pinot Noir,Jacob's Creek,#414286
+65014,Australia,"This wine provides plenty of drinking pleasure for a moderate tariff. Smoke, toast and vanilla aromas speak to barrel fermentation and aging, while the apple, pear, pineapple and citrus flavors show off top-notch fruit. It's all put together in a balanced, medium-weight package that finishes clean and fresh.",,88,20.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Innocent Bystander 2007 Chardonnay (Australia),Chardonnay,Innocent Bystander,#440154
+65169,Australia,"Green beans and grapefruit mark the nose; nectarine, pineapple and beans appear on the palate. At just 12.6% abv, it's reasonably plump and a bit sweet-tasting, making for a slightly disjointed package.",The Stump Jump,85,13.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2015 The Stump Jump Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,D'Arenberg,#482172
+65299,Australia,"This is one of the rare dry Australian Rieslings that's not so taut that it demands cellaring, and might just be at its best now. Aromas of beeswax and petrichor give way to flavors of honey, apple and citrus on the palate, while the finish boasts a rich, gravelly texture.",,88,17.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Robert Oatley 2013 Riesling (Great Southern),Riesling,Robert Oatley,#443982
+65317,Australia,"Unlike many an Australian Shiraz, this one sees only French oak barrels for aging. The result is a dense, blueberry-filled wine, supported by hints of toast and espresso. It's full-bodied but not tiring to drink, thanks to an enlivening burst of black pepper on the finish. Best Buy. —J.C.",Bridgewater Mill,88,15.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Petaluma 1999 Bridgewater Mill Shiraz (Australia),Shiraz,Petaluma,#471669
+65337,Australia,"Subtle black-pepper notes add an extra layer of complexity to smoke, earth, plum, blackberry and dried spices. This full-bodied, sturdy wine finishes with firm tannins and some lingering coffee notes. Should improve over the next 2 - 3 years. —J.C.",Bin 128,88,24.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penfolds 1999 Bin 128 Shiraz (Coonawarra),Shiraz,Penfolds,#471669
+65341,Australia,"This big and broodingly dark wine is packed with grapey fruit and vanilla. The tannins on the finish are dusty but ripe and should preserve the wine for up to 10 years in the cellar. Still, why not drink it now with barbecue and savor the youthfully lusty fruit? —J.C.",,88,27.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Warrabilla 2000 Petite Sirah (Rutherglen),Petite Sirah,Warrabilla,#26AC81
+65442,Australia,"This bargain-priced offering boasts cool, restrained Cabernet aromas of cassis and mint, with just a touch of tomato creeping in. It's fairly weighty, with bold flavors of Ribena on the palate and soft tannins on the finish. Drink now.",Split River,86,10.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Evans & Tate 2011 Split River Cabernet Sauvignon (Western Australia),Cabernet Sauvignon,Evans & Tate,#471163
+65479,Australia,"Deceptively silky and elegant in texture, so much so that its power is easy to overlook. Cassis and tobacco flavors are typical, framed by touches of brown sugar, while the finish turns a bit lean and herbal, with tea-like tannins. 70% Cab Sauvignon, 25% Cab Franc, 5% Merlot.",Gaia,90,52.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Grosset 2004 Gaia Red (Clare Valley),Bordeaux-style Red Blend,Grosset,#1F938B
+65482,Australia,"Taylors (exported under the Wakefield Estate label) is a top-notch source for Cabernet Sauvignon. The 2004 boasts a big nose of cassis, mint or eucalyptus and a touch of roasted peppers. It's mouthfilling, with plenty of soft tannins, then finishes with more cassis and a hint of coffee.",,90,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2004 Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+65487,Australia,"There's plenty of vanillin and cedary oak in this wine, but it's easily balanced by impressive levels of cassis and blackberry fruit. The texture in the mouth is creamy and supple, and the finish is long and vanilla-laden but silky, without any harsh wood tannins. The blend is 89% Cabernet Sauvignon and 10% Malbec, with bits of Petit Verdot and Merlot.",Frank Potts Red Wine,90,27.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Bleasdale 2005 Frank Potts Red Wine Red (Langhorne Creek),Cabernet Blend,Bleasdale,#23A883
+65493,Australia,"This wine starts off dark, laden with prune, cola and coffee notes, but it really freshens up with some air, developing a lively interplay between bright red-plum fruit and darker notes of earth and tobacco. It's richly textured with velvety tannnins that impart a slightly chewy feel at this stage; best from 2010–2018.",,90,30.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2004 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Vasse Felix,#471163
+65495,Australia,"This is a big, fat, almost sweet-tasting Cabernet Sauvignon, with ripe fruit framed by lavish French oak redolent of cedar, vanilla and toasted coconut. Cassis and tobacco flavors wear the oak well, with berry-cherry flavors coming through on the finish. A good choice for steak, and it won't break the bank.",,90,22.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Tapestry 2005 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Tapestry,#471163
+65504,Australia,"The tannins of this refined yet full-bodied Cabernet come across as sinfully silky in texture, giving the wine a sense of softness while still providing structure. Smoke, maple syrup and cassis notes gracefully intertwine on the nose and palate, then end on a long, cedar-laced finish. Drink now–2020.",The Visionary Limited Release,91,180.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2009 The Visionary Limited Release Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+65661,Australia,"A blend of 54% Malbec and 46% Petit Verdot, this lithe, medium-bodied wine makes an interesting contrast to Cullen's Mangan Vineyard Merlot-Malbec-Petit Verdot. It's a leaner wine, with modest cherry-berry fruit and ample accents of cinnamon, cedar and vanilla.",Mangan East Block,87,55.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2012 Mangan East Block Red (Margaret River),Bordeaux-style Red Blend,Cullen,#1F938B
+65669,Australia,"This is pleasantly savory for such an inexpensive wine. Earthy notes of asphalt and black olive combine with plummy fruit on the palate, while the finish is firm enough to serve alongside fatty dishes like burgers or pizza.",,87,9.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2013 Shiraz (South Australia),Shiraz,Oxford Landing,#471669
+65863,Australia,"Better known for its red wines, Penfolds has turned out a lovely Bin 51 Riesling in 2007. An alluring nose of orange sherbet and petrol leads into a medium-weight wine that manages to be both broad and mouthcoating and yet long and racy on the finish. May not be a long-lived Riesling by Aussie standards, but it should still drink well over the next 7-10 years.",Bin 51,91,20.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Penfolds 2007 Bin 51 Riesling (Eden Valley),Riesling,Penfolds,#443982
+65874,Australia,"This herbaceous Cabernet shows off the strengths of Western Australia: refined tannins, complex flavors and elegance galore. Tobacco and mint lead the way, followed by cassis, cigar box and hints of coffee. It's not a big powerhouse, but a classy Cabernet, with a long finish. Drink now-2015.",,90,25.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Plantagenet 2004 Cabernet Sauvignon (Great Southern),Cabernet Sauvignon,Plantagenet,#471163
+65934,Australia,"Full-bodied and fudge-like, this is a big black chocolaty Shiraz. Hints of cracked pepper and dried fruit run through this rich, thickly textured wine. It's ready to drink now.",Cracking Black,89,28.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Penny's Hill 2014 Cracking Black Shiraz (McLaren Vale),Shiraz,Penny's Hill,#471669
+66007,Australia,"Plump, supple and a joy to drink, this wine features a complex mélange of aromas and flavors, ranging from menthol and cracked pepper to mocha and roasted meat, all wrapped around a core of red berries. Drink now–2018.",Bush Vine,90,19.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2011 Bush Vine Grenache (Barossa),Grenache,Yalumba,#481C6E
+66008,Australia,"Crisp and compact, the 2011 Diana Madeline undoubtedly needs at least another couple of years in the cellar. The nose is leafy and herbal, but the flavors show cherry fruit framed by subtle shadings of vanilla. The tannins are firm, imparting a drying sensation to the long finish.",Diana Madeline,90,109.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2011 Diana Madeline Red (Margaret River),Bordeaux-style Red Blend,Cullen,#1F938B
+66253,Australia,"Some whole-bunch fermentation is reflected in a vegetal hint on the nose, but otherwise this is a fruit-driven youngster, bursting with lively red berries. Hints of toasted coconut, vanilla and mocha from French oak add complexity to this medium-bodied, supple wine. The tannins firm up on the finish, suggesting mid-term cellaring; drink 2017–2023.",,91,39.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Josef Chromy 2013 Pinot Noir (Tasmania),Pinot Noir,Josef Chromy,#414286
+66266,Australia,"Mint, leather and cherry notes form the bouquet of this crisp, medium-bodied Shiraz. It's smooth-textured and elegant, with flavors of espresso, chocolate, cherry and a hint of cracked pepper on the finish.",,88,65.0,New South Wales,Hilltops,,Joe Czerwinski,@JoeCz,Eden Road 2010 Shiraz (Hilltops),Shiraz,Eden Road,#471669
+66400,Australia,"Rather restrained, this is a dark, concentrated wine built for some time in the cellar. It's got Bordeaux-like structure in its crisp acids and firm tannins, but clean, New World cassis flavors tinged with vanilla and cedary oak. Drink 2010–2015.",,89,25.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Balgownie Estate 2005 Cabernet Sauvignon (Bendigo),Cabernet Sauvignon,Balgownie Estate,#471163
+66405,Australia,"Lush and oaky, this is a full-bodied mouthful of coffee, chocolate and loam flavors. The fruit is so ripe it presents as chocolate, framed by toasty oak and buttressed by incredibly soft tannins. The softness suggests pairing with roasts or braised meats; drink now–2012.",Phoenix,89,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2005 Phoenix Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Penley Estate,#471163
+66407,Australia,"Even Jim Barry's entry-level Cabernet—The Cover Drive—is a hit. Blending various South Australian sources, it takes jammy blackberry fruit, backs it with darker notes of chocolate and layers atop a briary, herbal component, all working together to ably conceal its 15% alcohol. Drink now–2012.",The Cover Drive,89,19.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Jim Barry 2005 The Cover Drive Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Jim Barry,#471163
+66409,Australia,"A dark, earthy take on Cabernet, without the obvious cassis character that often overtakes Australian Cabs. Instead, the aromas and flavors lean toward black olive and tobacco. Tannins are fully ripe and soft, making it easy to drink now, although there's enough tart acidity for balance.",Sami Two Vineyards,89,35.0,South Australia,Barossa-Langhorne Creek,,Joe Czerwinski,@JoeCz,Dutschke 2005 Sami Two Vineyards Cabernet Sauvignon (Barossa-Langhorne Creek),Cabernet Sauvignon,Dutschke,#471163
+66415,Australia,"One of Australia's most expensive and sought-after Cabernet blends, Mount Mary's Quintet has failed to impress more than one American critic. It's an appealing, well-crafted wine that combines leather, cherry and dried herbs in a somewhat lean, crisp style that delivers a long, mineral-and-cedar finish.",Quintet,89,145.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Mount Mary 2004 Quintet Red (Yarra Valley),Bordeaux-style Red Blend,Mount Mary,#1F938B
+66433,Australia,"The blend is 71% Marsanne, 20% Viognier and 9% Roussanne. The result is a medium-bodied white that offers straightforward, fruity notes of pear and melon. It's clean and refreshing on the finish, with just a little hint of tannin.",Plexus,88,30.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,John Duval Wines 2015 Plexus White (Barossa Valley),Rhône-style White Blend,John Duval Wines,#4FC369
+66467,Australia,"This Cabernet is built for current consumption, boasting a savory, complex blend of meat and herb elements nicely balanced by just enough dark plum fruit. The tannins are soft to the point of creaminess, letting just a bit of warmth show through on the lingering finish. Drink now–2016.",,90,17.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Earthworks 2008 Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Earthworks,#471163
+66494,Australia,"Renowned winemaking consultant Larry Cherubino lent his deft touch to this reasonably priced offering. It's a very ripe style for Pinot Noir, combining ample weight with plush tannins and superripe dark cherry-berry fruit. Drink now.",Cruel Mistress,86,17.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Ad Lib 2014 Cruel Mistress Pinot Noir (Pemberton),Pinot Noir,Ad Lib,#414286
+66652,Australia,"Vanilla, cedar and plum notes benefit from a dusting of cracked pepper in this medium-bodied dry red. The tannins are supple to the point of creaminess, and the finish warm and spicy. Drink now.",,88,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,2 Up 2014 Shiraz (South Australia),Shiraz,2 Up,#471669
+66656,Australia,"This is straightforward, well-made tank-fermented fizz at a bargain price. Chardonnay and Pinot Noir offer hints of toasted brioche and lemon curd, finishing crisp and clean.",DB Family Selection Sparkling Brut,88,12.0,New South Wales,Riverina,,Joe Czerwinski,@JoeCz,De Bortoli NV DB Family Selection Sparkling Brut Sparkling (Riverina),Sparkling Blend,De Bortoli,#38578C
+66669,Australia,"This is a ripe, plump rosé that's highly “smashable,” as young Aussies would say. Mixed red berry fruit is underscored by a dash of lime on the finish. Drink now.",Breathing Space,88,35.43766346992153,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Evans & Tate 2015 Breathing Space Rosé (Australia),Rosé,Evans & Tate,#450558
+66989,Australia,"Shows decent complexity, with smoke, leather and spice notes dominating over modest levels of cranberryish fruit. Either this is beginning to dry out, or it was never all that lush to begin with. Drink up.",,85,16.0,South Australia,Currency Creek-McLaren Vale,,Joe Czerwinski,@JoeCz,Ballast Stone Estate Wines 2004 Grenache (Currency Creek-McLaren Vale),Grenache,Ballast Stone Estate Wines,#481C6E
+67009,Australia,"The 2007 St. Henri remains broodingly dark in both color and flavor profile. Blackberry and plum notes are accented by roasted meat, leather and mocha in this full-bodied, densely packed wine. The tannins are a bit chewy right now, but the finish is long and reveals promising glimmers of fruit that portend well for aging. Drink 2018–2025 and beyond.",St. Henri,93,65.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2007 St. Henri Shiraz (South Australia),Shiraz,Penfolds,#471669
+67019,Australia,"The Menzies is Yalumba's top Coonawarra Cabernet, and its quality has improved tremendously over recent vintages. The 2008 is pure and ripe, with great black-cherry and cassis flavors, framed by an elegant vanilla-oak note. It's full bodied and plushly textured without being unstructured, and it should drink well over the next 15 years.",The Menzies,93,50.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Yalumba 2008 The Menzies Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Yalumba,#471163
+67050,Australia,"Crisp and edgy, featuring tart cherry fruit and hints of green peppercorn. It's fairly big in the mouth, but lacks a bit of generosity.",The Absconder,87,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2014 The Absconder Grenache (McLaren Vale),Grenache,Wirra Wirra,#481C6E
+67056,Australia,"This nearly 50-50 blend is restrained and grassy, reflecting the French ownership and philosophy well. Grapefruit and cut grass will marry well with food or be pleasant on its own, even picking up a hint of stoniness on the fully dry finish.",,87,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cape Mentelle 2015 Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Cape Mentelle,#3C4E8A
+67096,Australia,"Just a tiny serving of this dark nectar will last a long time. The malty, porter-ish aromas intrigue, followed by incredibly rich and syrupy flavors accompanied by mouthwatering acids and enormous peristence. Layers of complexity gradually unfold in the glass, revealing hints of honey, caramel and beguiling rancio notes.",Calliope Rare,98,86.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,R.L. Buller & Son NV Calliope Rare Tokay (Rutherglen),Tokay,R.L. Buller & Son,#1E9D88
+67106,Australia,"This is dark, almost black in color at the center, with greening evident at the rim. Syrupy, intense aromas of coffee and dark chocolate make an immediate impact on the nose, followed by syrupy, intense flavors of coffee and molasses. There's mind-boggling concentration here, but just enough acidity to provide a sense of balance. Still, it's hard to imagine drinking more than a couple of ounces of this at a time.",Calliope Rare,94,86.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,R.L. Buller & Son NV Calliope Rare Muscat (Rutherglen),Muscat,R.L. Buller & Son,#472676
+67391,Australia,"A rich, savory style of Shiraz, with bold blackberry and black olive flavors that work easily together, framed by vanilla and soft, dusty tannins. Drink it over the next few years.",Pillar Box Reserve,90,20.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2007 Pillar Box Reserve Shiraz (Padthaway),Shiraz,Henry's Drive Vignerons,#471669
+67467,Australia,This supple medium-bodied Pinot Noir is ready to drink. Predominantly earthy notes of leather and dried spices are harmonious and complex without being overly demanding.,Omrah,88,20.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 2012 Omrah Pinot Noir (Western Australia),Pinot Noir,Plantagenet,#414286
+67485,Australia,"The ample alcohol in this wine imparts a rich slightly syrupy feel to this wine that's not particularly Pinot-like, but still satisfying. Strawberry and raspberry notes carry a hint of tomato leaf, then finish with crisp acids.",The Feral Fox,88,32.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2012 The Feral Fox Pinot Noir (Adelaide Hills),Pinot Noir,D'Arenberg,#414286
+67728,Australia,"This wine may not be quite as rich or expressive as the other Viogniers in the Yalumba stable, but it's still an attractive effort. Pineapple and apricot flavors pick up hints of gingery spice on the vibrant finish. Drink now.",,89,9.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2014 Viognier (South Australia),Viognier,Oxford Landing,#45347F
+67822,Australia,"Round and ripe tropical fruit mark this solid and affordable Chardonnay. Interesting shadings of lime, clove and other spices keep it engaging on the palate. Ends with a medium- length finish of sweet-tart pineapple fruit.",,87,13.0,New South Wales,Hunter Valley,,,,Heritage Road 1998 Chardonnay (Hunter Valley),Chardonnay,Heritage Road,#440154
+67887,Australia,"Despite an overlay of dried apricots and caramel, what is striking about this stickie is its intense essence of lime. The flavors of candied lime and pineapple are bright and fresh, finishing long and balanced, without an excess of sugar.",The Noble,88,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The Noble Riesling (McLaren Vale),Riesling,D'Arenberg,#443982
+67896,Australia,"An intriguingly savory Shiraz, laden with meaty, leathery aromas and flavors of pepper-cured meat and coffee. It's full-bodied and creamy in texture, with a lushness that persists through the finish. Drink now.",Longford,88,36.0,Victoria,Gippsland,,Joe Czerwinski,@JoeCz,Jinks Creek 2004 Longford Shiraz (Gippsland),Shiraz,Jinks Creek,#471669
+68004,Australia,"Nutty, toasty and tropical-fruit elements are nicely balanced in this wine's appealing bouquet. Subdued tropical-fruit flavors, mineral notes and a buttery, elegant mouthfeel with good acidity follow. The lengthy finish shows lingering, complex fruit flavors.",Limited Release,90,38.0,South Australia,Padthaway,,,,Jacob's Creek 1997 Limited Release Chardonnay (Padthaway),Chardonnay,Jacob's Creek,#440154
+68023,Australia,"This strongly-oaked wine has apple, lemon and toast aromas that open to a similar palate displaying pear elements and a buttery feel. Full on the nose and palate, this wine, 100% barrel fermented in French oak, finishes long with spicy notes.",Reserve,88,16.0,South Australia,Barossa Valley,,,,Jacob's Creek 1999 Reserve Chardonnay (Barossa Valley),Chardonnay,Jacob's Creek,#440154
+68065,Australia,"Moorooduc's estate Pinot Noir is a solid value among the boutique offerings from the Mornington Peninsula. There's a supple cushioning of flesh wrapped around a firm backbone of acid, while the flavors run from black cherry and mint through earthier notes of brown sugar and roasted parsnip. Drink now through 2020.",,91,36.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Moorooduc 2012 Pinot Noir (Mornington Peninsula),Pinot Noir,Moorooduc,#414286
+68112,Australia,"Lean, tart and slightly ungenerous on the palate, but the flavors are authentically Pinot Noir, ranging from earth and root vegetables to pie cherries and herbs. Clean and crisp on the finish.",,84,16.0,Victoria,Strathbogie Ranges,,Joe Czerwinski,@JoeCz,Cooralook 2010 Pinot Noir (Strathbogie Ranges),Pinot Noir,Cooralook,#414286
+68416,Australia,"This wine delivers fruit, fruit and more fruit, at a deliciously affordable price. Bold black-cherry aromas and flavors feature just a tinge of spice, then fade away quickly on the faintly dusty finish. Drink now.",Reserve,86,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Gosford 2013 Reserve Shiraz (South Eastern Australia),Shiraz,Gosford,#471669
+68677,Australia,"Austere, tannic and chewy, this Cabernet could use a few years in the cellar. Classic mint and cassis notes are framed by cedar and vanilla, but the fruit comes through on the firm, dusty finish, a sign of positive things to come. Drink 2020–2030.",Trueman,93,75.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hickinbotham 2013 Trueman Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Hickinbotham,#471163
+68699,Australia,"This is a less ripe, extracted version of Mataro than some others coming out of the Barossa, but because of that it's actually more drinkable. Dark cherry and plum notes form the core of the wine, dressed up by complex hints of mocha, sage blossoms and hickory smoke. It's smooth and streamlined in the mouth, with a long, mouthwatering finish. Drink now–2025.",,92,32.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2016 Mataro (Barossa Valley),Mataro,Turkey Flat,#70CE56
+68766,Australia,Love the label--a graphic representation of the owner's solo 1990 flight from Oz to England in a Tiger Moth--but the wine shows some unappetizing aromas of pickle juice and the fruit on the palate comes across as a bit sour and green.,,82,23.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Edwards 2007 Semillon-Sauvignon Blanc (Margaret River),Semillon-Sauvignon Blanc,Edwards,#3A538B
+68785,Australia,"This top Cabernet bottling from Taylors has been a consistent favorite over the last few vintages, and the 2004 continues the string. It's complex, bringing scents of mint, coffee, cassis and tobacco all to the dance, and matching that complexity with weight and richness. The tannins are a bit astringent right now, so try it from 2010-2020.",St. Andrews,91,50.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2004 St. Andrews Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+69018,Australia,"Only slightly less rich than its Beast counterpart, the 2007 Beauty is a full-bodied wine nonetheless. Notes of blackberries, dark chocolate and espresso are framed by supple tannins and end with mouthwatering acidity. Drink now–2017.",The Beauty,91,50.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Hentley Farm 2007 The Beauty Shiraz (Barossa Valley),Shiraz,Hentley Farm,#471669
+69514,Australia,"Named for the year the vineyard was planted, this is a full-bore Barossa fruit bomb—in a positive way. Waves of lush berry fruit are framed by hints of vanilla and mint in this full-bodied, creamy-textured wine that somehow manages to retain a sense of elegance and proportion.",The Freedom 1843,94,100.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2008 The Freedom 1843 Shiraz (Barossa),Shiraz,Langmeil,#471669
+69650,Australia,"Aromas of baking spices and pears lead the way, followed by flavors of pear and pineapple. This medium-bodied wine has a pleasantly toasty-grainy note as well, then finishes crisp and citrusy.",Sexton Vineyard,89,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2013 Sexton Vineyard Chardonnay (Yarra Valley),Chardonnay,Giant Steps,#440154
+69687,Australia,"A tart, hard-edged rendition of Clare Valley Shiraz, from the cool subsection known as Polish Hill better known for its Rieslings. Tart plum and berry flavors are touched with spice, vanilla and traces of hickory smoke and bacon fat. The appealing aromatics are the wine's best facet. Try aging it through 2015 and see if it improves.",Andreas Polish Hill River,85,26.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pauletts 2004 Andreas Polish Hill River Syrah (Clare Valley),Syrah,Pauletts,#287A8E
+69765,Australia,"Not as varietally expressive as the 2013, this is nonetheless a solid, well-made white wine. A hint of gingery spice frames yellow plum fruit, which then comes to a dry, dusty close on the finish.",Generation Series Mrs.,86,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mr. Riggs 2014 Generation Series Mrs. Viognier (McLaren Vale),Viognier,Mr. Riggs,#45347F
+69881,Australia,"Aged partly in new American Oak hogsheads and partly in used French Oak barriques, the barrel regime shows in this wine's obvious vanilla and caramel accents to its boysenberry fruit. Supple and creamy in texture before turning crisp on the finish. Drink now.",Single Vineyard,87,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Longwood 2008 Single Vineyard Shiraz (McLaren Vale),Shiraz,Longwood,#471669
+69882,Australia,"Chunky and a bit hard-edged, this Shiraz combines plum and vanilla notes with hints of cocoa and black olive. There's some richenss here, it just needs a few years to emerge. Try 2012-2017.",McLaren Parish Vineyard,87,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Nugan Family Estates 2007 McLaren Parish Vineyard Shiraz (McLaren Vale),Shiraz,Nugan Family Estates,#471669
+69885,Australia,"A solid effort, the 2007 Chockstone is a balanced, accessible red. There's ample cherry fruit, touches of cedar, vanilla and woodspice and modest tannins. Everything is in proportion, and it should drink well for the next 5-8 years.",Chockstone,87,22.0,Victoria,Grampians,,Joe Czerwinski,@JoeCz,A.T. Richardson 2007 Chockstone Shiraz (Grampians),Shiraz,A.T. Richardson,#471669
+69891,Australia,"The aromas of this Shiraz are surprisingly dark; they tend toward the blackberry and cola end of the spectrum, while the flavors are more reminiscent of stewed berries with a touch of cinnamon. Medium to full in body, the wine is pleasantly round in the mouth, then turns tart on the finish. Drink now-2015.",Snake Charmer,87,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Vinaceous 2007 Snake Charmer Shiraz (McLaren Vale),Shiraz,Vinaceous,#471669
+69893,Australia,"Despite some very ripe fruit flavors and ample (14.5%) alcohol, this full-bodied Shiraz isn't particularly lush. The tannins are rich and velvety, but the acids are elevated and tartness dominates the finish. Drink it over the next several years.",,87,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2007 Shiraz (McLaren Vale),Shiraz,Yangarra Estate Vineyard,#471669
+69940,Australia,"This pleasant, medium-bodied blend of 70% Sauvignon Blanc and 30% Semillon features ample flavors of passion fruit and pink grapefruit. It's not complex, but over the next year or so it will wash down seafood just fine.",Hazard Hill,86,13.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 2010 Hazard Hill Sauvignon Blanc-Semillon (Western Australia),Sauvignon Blanc-Semillon,Plantagenet,#3C4E8A
+70141,Australia,"The Adelaide Hills aren't known as a hotspot for Cabernet Sauvignon, but this offering, from a warm site, excels. Cinnamon, clove, cracked pepper and vanilla notes accent dark, meaty fruit. It's full and rich enough to be mistaken as coming from a warmer region, with a long, earthy finish. Drink now–2025.",19th Meeting Single Vineyard Basket Pressed,92,45.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,The Lane 2012 19th Meeting Single Vineyard Basket Pressed Cabernet Sauvignon (Adelaide Hills),Cabernet Sauvignon,The Lane,#471163
+70148,Australia,"A great value in ready-to-drink, savory, complex Shiraz, the 2009 Cliff Edge boasts plenty of smoky, bacony notes, which add a Rhône-like edge to the blueberry and plum fruit. Black olives chime in, adding even more savory complexity, while the tannins are silky. Drink now–2020.",Cliff Edge,92,25.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Mount Langi Ghiran 2009 Cliff Edge Shiraz (Victoria),Shiraz,Mount Langi Ghiran,#471669
+70158,Australia,"The plush texture and silky midpalate almost define Langhorne Creek, and the cedar, cassis and tobacco notes are classic Cabernet. So what's the rub? The finish falls off just a bit too quickly. It's still nice stuff for the price.",,89,17.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Heartland 2010 Cabernet Sauvignon (Langhorne Creek),Cabernet Sauvignon,Heartland,#471163
+70248,Australia,"The oak in this wine is nicely integrated into the fruit, making it barely detectable amid the bold peach and melon flavors. Full and round in the mouth, then long and citrusy on the finish. Drink now.",Sexton Vineyard,90,30.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2006 Sexton Vineyard Chardonnay (Yarra Valley),Chardonnay,Giant Steps,#440154
+70335,Australia,"Overtly green in style, with asparagus notes that are too much for this reviewer. It does have some attractive crushed-stone aromas and an appealing mouthfeel, so it's not without charm.",,83,17.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2014 Sauvignon Blanc (Margaret River),Sauvignon Blanc,Robert Oatley,#482172
+70375,Australia,"Richly tannic but ripe, with red-fruit notes of rhubarb and raspberry up front. Then the palate turns dark and savory, adding hints of espresso, olive and asphalt. Try it in 2017, by which time it should've settled down and become more integrated.",,89,21.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Fox Creek 2014 Shiraz (McLaren Vale),Shiraz,Fox Creek,#471669
+70638,Australia,"This starts off a little reductive, with tarry, burnt-rubber aromas that are frankly offputting. But a aeration works wonders, and this wine opens up to reveal hints of toasted almonds, melon and citrus, all supported by a crisp finish. Imported by American Wine Distributors.",Single Vineyard,86,15.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Fonty's Pool 2006 Single Vineyard Viognier (Pemberton),Viognier,Fonty's Pool,#45347F
+70646,Australia,"This Pinot Grigio from a new producer in the cool Adelaide Hills starts off a little herbal—almost minty—then delivers a full-bodied, weighty palate experience. The flavors are fairly neutral, making it more about flesh and weight than well delineated flavors, but that should help make it more versatile with food. Drink now. Imported by Tom Eddy Wines.",Estate Grown,86,30.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,The Lane 2004 Estate Grown Pinot Grigio (Adelaide Hills),Pinot Grigio,The Lane,#423D84
+70650,Australia,"Seems slightly confected and perhaps a little off-dry, but it exhibits tasty cinnamon and baked-apple flavors and a dash of peppery spice on the finish. Drink now. Imported by McWilliam's Hanwood Estate.",,86,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,McWilliam's Hanwood Estate 2006 Riesling (South Eastern Australia),Riesling,McWilliam's Hanwood Estate,#443982
+70696,Australia,"After 26 months in French oak and additional time in bottle, this is a sumptuously silky Grenache. The complex aromas hint at roasted meat, vanilla and stewed plum, while the flavors follow suit, picking up mocha notes on the long, mouthwatering finish. Ready to drink.",Richelieu,90,80.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Charles Melton 2009 Richelieu Grenache (South Australia),Grenache,Charles Melton,#481C6E
+70881,Australia,"The 2006 d'Arry's Original offers a welcome combination of dark, earthy complexity with notes of cola, plum and black cherry. It's full in the mouth and expansive on the palate, leading into a long finish redolent of peppery spice. Drink now–2012.",The d'Arry's Original,90,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The d'Arry's Original Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,D'Arenberg,#2D6E8E
+70914,Australia,"The 2008 Phoenix Cabernet displays amply concentrated notes of cherry, cassis and tobacco. There's plenty of stuffing here, with a long finish that fades slowly away to notes of dried tea leaves.",Phoenix,89,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2008 Phoenix Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Penley Estate,#471163
+70915,Australia,"A robust blend of sweet and savory, d'Arenberg's 2008 Love Grass Shiraz is full-bodied and round in the mouth, featuring smoky, meaty and blackberry notes and a mouthwatering finish. Drink now–2015.",The Love Grass,89,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Love Grass Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+71032,Australia,"In the crowd-pleasing style that is the hallmark of the brand, this good value bottling shows bold vanilla and coconut aromas overlaying strawberry and cherry fruit. Raspberry coulis dominates the palate which offers just the faintest tannic grip. For near-term consumption.",The Reserve,86,11.0,Australia Other,South Eastern Australia,,,,Yellow Tail 2006 The Reserve Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Yellow Tail,#471163
+71033,Australia,"With its warm and fuzzy nose of vanilla, buttered toast and freshly cut apples, this is a wine that's easy to like. The moderately intense palate shows some candied orange peel notes and fades to a moderate finish infused with lemon balm.",,86,12.0,Australia Other,South Eastern Australia,,,,McWilliam's Hanwood Estate 2006 Chardonnay (South Eastern Australia),Chardonnay,McWilliam's Hanwood Estate,#440154
+71036,Australia,"Tree bark and deep woods notes mix with plum notes for an intriguing opener, yielding to a palate with plummy, leathery flavors. Overall, it's a bit lean, but the finish shows admirable length and mouthwatering acidity.",Lioness,86,25.0,Western Australia,Great Southern,,,,Plantagenet 2005 Lioness Shiraz-Viognier (Great Southern),Shiraz-Viognier,Plantagenet,#462F7C
+71042,Australia,"A well-made Petite Sirah with jammy fruit and some tannic structure, this wine could develop nicely over the next 5–6 years. Right now, the fruit is somewhat simple, but the acids and tannins seem to have the balance to age, and the fruit is concentrated enough to go at least that far.",,86,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Oliverhill 2006 Petite Sirah (McLaren Vale),Petite Sirah,Oliverhill,#26AC81
+71047,Australia,"Earthy, meaty notes interwoven with an attractive pine scent make for a sexy nose. The palate is a bit simpler, with straightforward cherry and tart berry flavors. Tangy cranberry notes mark the finish. Drink now–2012.",,86,20.0,Western Australia,Margaret River,,,,Evans & Tate 2005 Shiraz (Margaret River),Shiraz,Evans & Tate,#471669
+71049,Australia,"Merlot is a variety that receives little respect—or accolades—in Australia, but this one is a cut above the rest. The complex nose is classic Chinese tea and herbs with some Shiraz-like tar notes that lead into plum and raspberry flavors in the mouth. Finishes a bit short but with a nice, coconut-infused acidic lift.",,86,10.0,Australia Other,South Eastern Australia,,,,Bulletin Place 2007 Merlot (South Eastern Australia),Merlot,Bulletin Place,#24848D
+71125,Australia,"Produced by the transfer method, with gas levels adjusted and a dosage the results in approximately 14g/L of sugar, this is a slightly mint and eucalypt-scented sparkler dominated by black cherries and coffee. Ends on a slightly dusty note. Multipe U.S. Importers.",The Madam Sparkling,86,15.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hugh Hamilton 2004 The Madam Sparkling Merlot (McLaren Vale),Merlot,Hugh Hamilton,#24848D
+71177,Australia,"Featuring a voluptuous nose of stone fruit and citrus framed by roasted nuts and toasty oak, this is a rich, amply endowed Chardonnay with a big personality and bold flavors. Ripe peach notes join with citrus, hazelnuts and toast on the long finish. Drink now.",Reserve,92,27.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Wise 2005 Reserve Chardonnay (Pemberton),Chardonnay,Wise,#440154
+71297,Australia,"This coppery-pink rosé shows the same classy toast and citrus notes as Jansz's Premium Cuvée, with just a hint of cherry and mushroom to differentiate it. It's medium bodied, with a clean, refreshing finish. Good value.",Premium Rosé Brut,89,22.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Jansz NV Premium Rosé Brut Sparkling (Tasmania),Sparkling Blend,Jansz,#38578C
+71305,Australia,"Somewhat precariously balanced at 15.7% alcohol, this may not turn out to be the most long-lived Shiraz, but it is delicious for current consumption. The tannins are soft and creamy in texture, while the blueberry and black berry fruit is intensely concentrated, tinged with nuances of vanilla, menthol and chocolate.",Lily's Garden,92,60.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Two Hands 2007 Lily's Garden Shiraz (McLaren Vale),Shiraz,Two Hands,#471669
+71308,Australia,"The 2007 Gosling manages to combine savory, spicy complexity with bold fruit, delivering peppery, herbal notes alongside cherry and blueberry flavors. It's mouthfilling, with a creamy texture, yet retains a sense of freshness on the lingering finish. Drink now-2020.",The Gosling Roennfeldt Road,92,30.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Schubert 2007 The Gosling Roennfeldt Road Shiraz (Barossa),Shiraz,Schubert,#471669
+71433,Australia,"Hope Estate is headquartered near Australia's eastern coast, but this wine comes from a vineyard it owns way out west. It's a well-made, medium- to full-bodied Shiraz, boasting a raspberry flavor that's nicely accented by a dark coffee note and an approachable, open-knit texture. Drink it over the next year or two.",The Ripper,89,18.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Hope Estate 2008 The Ripper Shiraz (Western Australia),Shiraz,Hope Estate,#471669
+71518,Australia,"A solid, well-made Sauvignon Blanc from RockBare that combines aromas of melon rind and underripe nectarine with flavors of stone fruit and citrus, this is a nice wine, albeit not one that solves the mystery of what Austin Powers was missing in The Spy Who Shagged Me.",Mojo,86,20.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,RockBare 2008 Mojo Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,RockBare,#482172
+71583,Australia,"No doubt informed by winemaker Daryl Groom's California experience, this is a fine example of Australian Zinfandel, marrying briary berry fruit with subtle herbal notes and hints of vanilla, cinnamon and clove. The tannins are soft, yet the wine remains fresh on the finish. Drink now–2013.",Bush Block,88,26.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Groom 2008 Bush Block Zinfandel (Barossa Valley),Zinfandel,Groom,#A2DA37
+71591,Australia,"A nicely balanced rendition of Tempranillo, with dark, berry-scented fruit and a veneer of vanilla and toasty oak. Easy, with supple tannins that don't get in the way of present enjoyment.",,88,18.0,Victoria,King Valley,,Joe Czerwinski,@JoeCz,Robert Oatley 2009 Tempranillo (King Valley),Tempranillo,Robert Oatley,#1FA187
+71764,Australia,"A relatively new brand from Tahbilk, the Old School Red blends 55% Cabernet Sauvignon with 45% Shiraz. The result is a medium- to full-bodied red with a silky texture and flavors reminiscent of cassis, vanilla and baking spices. Drink it over the next several years.",Old School Red,90,23.0,Victoria,Central Victoria,,Joe Czerwinski,@JoeCz,One Million Cuttings 2015 Old School Red Cabernet Sauvignon-Shiraz (Central Victoria),Cabernet Sauvignon-Shiraz,One Million Cuttings,#208F8C
+71886,Australia,"Juicy and open, with complex honey notes overlapping with key lime and apricot flavors. A bit rounder in the mouth than most of its brethren, this Clare Valley Riesling finishes on the simple side but with some truly mouthwatering lemon-meringue notes. Drink now.",Barking Mad,85,15.0,South Australia,Clare Valley,,,,Reilly's 2007 Barking Mad Riesling (Clare Valley),Riesling,Reilly's,#443982
+71924,Australia,"This is medium to full in body and rounded in the mouth, with loads of yellow plum and ripe pineapple flavors. It's not the most complex wine, but offers a satisfying mouthful of fruit and solid length. Drink now.",The Hermit Crab,89,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2015 The Hermit Crab Viognier-Marsanne (McLaren Vale),Viognier-Marsanne,D'Arenberg,#ADDC30
+71932,Australia,"Concentrated and ripe yet crisp and vibrant, this wine blends Clare Valley and Coonawarra Cabernets to good effect. Bay leaf, black cherry and dark chocolate notes abound, while the texture turns slightly grainy on the finish. Drink now–2025.",Jaraman,89,30.0,South Australia,Clare Valley-Coonawarra,,Joe Czerwinski,@JoeCz,Wakefield 2014 Jaraman Cabernet Sauvignon (Clare Valley-Coonawarra),Cabernet Sauvignon,Wakefield,#471163
+71934,Australia,"Pretty black cherry fruit is overwhelmed by the wine's other elements: mint, cedar, vanilla and maple syrup. In case you haven't guessed by now, it's oaky, with some drying, woody tannins on the finish.",Directors' Cut,89,39.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Heartland 2013 Directors' Cut Shiraz (Langhorne Creek),Shiraz,Heartland,#471669
+72061,Australia,"The aromas and flavors of crushed stone, lime sherbet and green apple are spot on, but this crisp, medium-bodied dry Riesling lacks just a bit of texture and length. Try it as a mouthwatering apéritif.",,87,21.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Plantagenet 2013 Riesling (Great Southern),Riesling,Plantagenet,#443982
+72119,Australia,"This 57-43 blend piquantly shows off the varietal characters of both grape varieties in its combination of citrus and pepper notes. It's like a collision of lime and jalapeño, but the wine's modest intensity makes it more of a fender-bender than an ambulance call, and the finish fades a little too quickly.",Siblings,86,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2005 Siblings Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Leeuwin Estate,#3C4E8A
+72200,Australia,"Coonawarra is traditionally Cabernet country, so to find this Pinot Noir in a lineup was a bit of a surprise. It's ripe and jammy, with aromas and flavors of black cherry preserves. Drink now for the big fruit.",,86,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2014 Pinot Noir (Coonawarra),Pinot Noir,Penley Estate,#414286
+72223,Australia,"Although there is only 5% Cab Franc in the blend, it appears to have quite an impact on this wine's aromas, which are intriguingly perfumed and contain some minty, leafy notes. Flavors also hint at mint with some subtle cedary notes, although the primary fruit is blueberry. Like the 2005 Georgia's Paddock, it's full-bodied and creamy-textured, although this wine adds a slightly more tannic edge to the finish. Drink 2010–2020.",Emily's Paddock Shiraz-Cabernet Franc,91,125.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Jasper Hill 2005 Emily's Paddock Shiraz-Cabernet Franc Shiraz (Heathcote),Shiraz,Jasper Hill,#471669
+72418,Australia,"Boldly fruity, this “wine product”—labeled as such because it is only 4.5% alcohol—features loads of strawberry and tangerine character. It's perfumy, soapy and sweet, balanced by frothiness.",Mrs. Wigley,84,15.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Wirra Wirra 2009 Mrs. Wigley Moscato (Australia),Moscato,Wirra Wirra,#2F6A8D
+72419,Australia,"Possibly understating it, this Australian Malbec is boldly colored, with intensely fresh and grapy aromas and robust blueberry flavors. It's a bit simple and possibly a little on the sweet side, but fills the mouth with plenty of flavor.",,84,8.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Yellow Tail 2010 Malbec (Australia),Malbec,Yellow Tail,#39B976
+72425,Australia,"A “layered” blend of five different varieties, this starts off a bit floral and lemony, then develops some earthier notes to go along with the modest citrus flavors. Finishes short. Sémillon (37%), Muscat (20.5%), Gewürztraminer (19.5%), Pinot Gris (19%) and Chardonnay (4%).",Layers,84,17.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,Peter Lehmann 2010 Layers White (Adelaide),White Blend,Peter Lehmann,#32638D
+72426,Australia,"Boldly fruity, redolent with cherries and pink grapefruit, this medium-bodied rosé does have a slightly candied quality to it, but remains a decent summertime quaff. Serve well chilled to help mute the apparent sweetness.",Nine Vines Grenache-Shiraz,84,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Angove's 2009 Nine Vines Grenache-Shiraz Rosé (South Australia),Rosé,Angove's,#450558
+72428,Australia,"Medium in weight, with modest pear and melon aromas and flavors. It's clean and fresh, finishing with a delicate touch of citrus. Drink now.",DB Family Selection,84,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2010 DB Family Selection Pinot Grigio (South Eastern Australia),Pinot Grigio,De Bortoli,#423D84
+72438,Australia,"Gemtree places a lot of emphasis on their growing practices, which is wonderful. The fruit, however, sometimes get masked by winemaking technique, and in this case the culprit is oak. The wine is rich and plush, with sweet potpourri spices, ripe blue and red fruit, and oregano, but the oak overpowers. Drink now–2025.",Uncut Biodynamic,87,21.0,South Australia,McLaren Vale,,,,Gemtree 2015 Uncut Biodynamic Shiraz (McLaren Vale),Shiraz,Gemtree,#471669
+72457,Australia,"AThe nose is appealing in its raisiny fruit, earth, meat and mocha. Things get all together punchier on the palate with vice-like tannins that overwhelm all else.",Shotfire,87,25.0,South Australia,Barossa,,,,Thorn Clarke 2015 Shotfire Shiraz (Barossa),Shiraz,Thorn Clarke,#471669
+72538,Australia,"A supple, easygoing Pinot Noir, with modest weight in the mouth but assertive notes of cola, earth and cherries. The aromas are slightly perfumed and confected, but the flavors are sturdier and more savory in nature. Drink now.",Sexton Vineyard,87,35.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2010 Sexton Vineyard Pinot Noir (Yarra Valley),Pinot Noir,Giant Steps,#414286
+72564,Australia,"An admirable effort, combining lemony citrus notes with hints of pear and quince. It's medium in body, with a long, crisp finish.",The Long Paddock,89,15.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Redbank 2014 The Long Paddock Pinot Grigio (Victoria),Pinot Grigio,Redbank,#423D84
+72565,Australia,"Full bodied and supple, this is a dark wine with ample fruit. Cassis and black cherry notes pick up hints of cola on the finish. Drink now–2020.",Warboys Vineyard,89,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2013 Warboys Vineyard Grenache (McLaren Vale),Grenache,Angove,#481C6E
+72580,Australia,"Pear, pineapple and white chocolate notes come together into an attractive whole in this medium- to full-bodied blend. It's round in the mouth, then focuses on the finish into a bright beam of citrus.",,89,60.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yeringberg 2014 Marsanne-Roussanne (Yarra Valley),Marsanne-Roussanne,Yeringberg,#3D4A89
+72587,Australia,"Shows greater fruit character and purity than the roasted 2003, with blackberry flavors nicely framed by vanilla oak and meaty, savory notes. Firm on the finish, suggesting an optimum drinking window of 2009–2016.",Ebenezer,89,32.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Barossa Valley Estate 2004 Ebenezer Shiraz (Barossa),Shiraz,Barossa Valley Estate,#471669
+72721,Australia,"This is a terrific introduction to the Rutherglen style, sweet, fortified, but with decent balancing acids. It offers bold aromas of bergamot, honey and fig, flavors of caramelized pineapple and flamed orange zest and a moderately long finish.",,90,16.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Chambers Rosewood Vineyards NV Muscadelle (Rutherglen),Muscadelle,Chambers Rosewood Vineyards,#472A79
+72734,Australia,"Tobacco, cassis and vanilla notes bring the aromas and flavors, while the wine's firm structure gives a medium-weight feel and dusty texture. Drink now–2025.",Little Venice Single Vineyard,90,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 Little Venice Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+72735,Australia,"This is a pretty lean, tightly focused wine. Grilled pineapple and citrus notes broaden slightly on the midpalate, then come together again on the crisp, lemony finish. Drink now through the end of 2015.",Tate,90,15.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Franklin Tate 2013 Tate Chardonnay (Margaret River),Chardonnay,Franklin Tate,#440154
+72737,Australia,"Made in an elegant, filigreed style, this wine delivers understated hints of smoke, pear and melon. Given time in the glass, some peach notes emerge. Pleasantly plump on the midpalate, the flavors and textures tighten on the crisp finish.",Finisterre,90,33.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2013 Finisterre Chardonnay (Margaret River),Chardonnay,Robert Oatley,#440154
+72747,Australia,"This vintage, VF's flagship red is a blend of 77% Cabernet Sauvignon, 16% Malbec and 7% Petit Verdot. Although it's full-bodied and lush, it's by no means the world's biggest or ripest Cabernet blend. Instead, it's impeccably balanced and gentle, serving up cassis, vanilla and a touch of baking spices in generous swirls that reach a crescendo on the long finish. Drink now–2030.",Heytesbury,94,110.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2012 Heytesbury Red (Margaret River),Bordeaux-style Red Blend,Vasse Felix,#1F938B
+72756,Australia,"Similar in style to the previous vintage, this ably marries savory notes of roasted meat and spice with ripe, plummy fruit. All those mouthwatering flavors are wrapped in supple tannins, ending on a plush, velvety note.",Warboys Vineyard,93,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2014 Warboys Vineyard Shiraz (McLaren Vale),Shiraz,Angove,#471669
+72763,Australia,"This is a wonderful counterpoint to Vasse Felix's Heytesbury. Where that wine is lush, this is more austere, with restrained, Bordeaux-reminiscent sensibilities. Smoky, grilled elements frame cassis and mint, finishing with classic firm tannins and admirable length. Drink 2023–2035, although the back label suggests “up to a further 30 years.”",Diana Madeline,93,109.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2013 Diana Madeline Red (Margaret River),Bordeaux-style Red Blend,Cullen,#1F938B
+72909,Australia,"What a step up this is from the winery's Are You Game? bottling. The acids are a little edgy, but they serve to highlight the wine's savory complexities and brighten the fruit well into the red spectrum. Cherries and earth glide to a long, finely textured finish. Drink now–2020.",490 Metres,91,35.43766346992153,Victoria,Central Victoria,,Joe Czerwinski,@JoeCz,Fowles Wine 2013 490 Metres Pinot Noir (Central Victoria),Pinot Noir,Fowles Wine,#414286
+72913,Australia,"This north-facing slope planted to seven clones of Pinot Noir seems to produce better wines every year. The 2013 is medium-bodied yet creamy-textured and lush, with black cherry fruit framed by cedar and vanilla. It's silky and vibrant on the finish, making it a treat to drink already.",Sexton Vineyard,91,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2013 Sexton Vineyard Pinot Noir (Yarra Valley),Pinot Noir,Giant Steps,#414286
+72979,Australia,"This is an easy-drinking style, attractive in aromas of peach, pineapple, pressed yellow flowers, and butter that flow right into a light- to medium-weighted palate. A slightly chalky texture with more tropical fruit flavors carry to a spicy, vegetal finish. Drink now.",,89,14.0,South Australia,Adelaide Hills,,,,Shoofly 2015 Chardonnay (Adelaide Hills),Chardonnay,Shoofly,#440154
+72980,Australia,"With aromas of cherry cough syrup and expensive oak, this is a big, rich, flashy Shiraz. Fine-grained tannins, balanced acidity and plenty of plush fruit mark the palate, but the oak is a little too much in the fore.",Bilmore,89,25.0,South Australia,Barossa Valley,,,,Teusner 2015 Bilmore Shiraz (Barossa Valley),Shiraz,Teusner,#471669
+72981,Australia,"Blackberry cordial leads in this fruit-driven wine, followed by vanilla, mocha, black olive and a bit of dusting polish. The palate is plush and brambly backed by a good grip of fine-grained tannins and a savory olive finish. This will cellar nicely. Drink now–2027.",Gnarly Dudes,89,35.0,South Australia,Barossa Valley,,,,Two Hands 2015 Gnarly Dudes Shiraz (Barossa Valley),Shiraz,Two Hands,#471669
+72983,Australia,"Lemon, blossoms and a slight kerosene nose lead into a prickly, slippery texture, with lemon-lime and wet stone flavors. A classic example of Clare Valley Riesling.",St. Andrews,89,40.0,South Australia,Clare Valley,,,,Wakefield 2016 St. Andrews Riesling (Clare Valley),Riesling,Wakefield,#443982
+72984,Australia,"Grown on sandy soils, this cherry-hued Grenache offers up juicy watermelon and red fruit notes, with vanilla, white pepper and a dash of green herbs. The supple yet elegant palate boasts drying tannins balanced by lively acidity and a savory finish.",Sucette,89,59.0,South Australia,Barossa,,,,An Approach to Relaxation 2015 Sucette Grenache (Barossa),Grenache,An Approach to Relaxation,#481C6E
+72985,Australia,"For big-red lovers, this is a darn classy option. Savory, smokey, meaty notes are woven together with black pepper, raspberry and red cherry. The palate is plush and powerful, but the tannins are well structured and balanced, with a long, savory finish. Drink now–2025.",Family Crest,89,25.0,South Australia,McLaren Vale,,,,Angove 2015 Family Crest Shiraz (McLaren Vale),Shiraz,Angove,#471669
+73000,Australia,"Typical of the variety, this wine shows ripe strawberries, florals, white pepper and a hint of stalky, smokey gamyness. The flavors on the palate are simpler—mainly cherry and strawberry fruit—but there's still a delicacy and juiciness that make this easy to knock back.",Survivor Vine The Vincent,89,37.0,South Australia,Barossa Valley,,,,Cirillo 2015 Survivor Vine The Vincent Grenache (Barossa Valley),Grenache,Cirillo,#481C6E
+73012,Australia,"Subtle notes of toasted grain frame citrus and peach fruit in this well-priced offering. It's not the biggest, most robust Chardonnay, but it delivers intensity allied to length, turning lemony on the powerful finish. Drink now–2020.",The Olive Grove,90,17.0,South Australia,McLaren Vale-Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2014 The Olive Grove Chardonnay (McLaren Vale-Adelaide Hills),Chardonnay,D'Arenberg,#440154
+73013,Australia,"A solid value, this off-dry Riesling features classic scents of lime sherbet, followed by hints of lime, Granny Smith apple and fresh greens. It's light in body, finishing on a refreshing tart yet sweet note.",The Stump Jump,90,13.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2015 The Stump Jump Riesling (Adelaide Hills),Riesling,D'Arenberg,#443982
+73015,Australia,"Dried figs, dates and maple syrup aromas are just what's expected from this deep amber-hued wine. It's full and sweet, adding some orange-rind notes and a hint of pith on the warming finish.",,90,19.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Campbells NV Muscat (Rutherglen),Muscat,Campbells,#472676
+73016,Australia,"Criterion is a so-called global brand, offering Italian Pinot Grigio, Rioja and Chianti Classico among other benchmarks. This Coonawarra Cabernet is surprisingly good given that background. It offers cherry, cassis and tobacco notes, medium body and silky tannins. Drink it over the next 5–8 years.",Reserve,90,18.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Criterion 2013 Reserve Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Criterion,#471163
+73036,Australia,"This restrained, medium-bodied Cabernet Sauvignon is a solid value. On the nose, cedar, vanilla and cassis elements blend together easily, while brown sugar and vanilla flavors are supported by just enough cassis and black cherry fruit. Drink now–2028.",Two Passions,90,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Wildberry Estate 2013 Two Passions Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Wildberry Estate,#471163
+73105,Australia,"Smells and tastes heavily oaked, with vanilla, smoke and toast layered over notes of blackberry and chocolate. Still, the texture is nice and the wood—if you like that sort of thing—is tasty. Finishes with a slightly drying edge.  Imported by Pacific Wine Partners.",Sparkling,86,20.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Hardys NV Sparkling Shiraz (South Australia),Shiraz,Hardys,#471669
+73150,Australia,"Fully mature, this mouthfilling, supple Shiraz shows off Clare's savory side, beginning with beefy notes of bouillon and soy, then adding leather coffee and black olive to the mix. The long finish gracefully blends sweet and savory, then adds a dusting of fine tannins to keep everything in place. Drink now–2015.",St. Andrews,91,60.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2002 St. Andrews Shiraz (Clare Valley),Shiraz,Wakefield,#471669
+73154,Australia,"A rich, amply endowed Clare Riesling, with potent lime aromas accented by touches of petrol, plenty of flavor intensity and a long finish composed of citrus and spice. Hints of baked apple and petrol suggest it may not be the longest-lived Riesling, but it's delicious now and should be good for another five years or so.",Polish Hill River,91,26.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pauletts 2008 Polish Hill River Riesling (Clare Valley),Riesling,Pauletts,#443982
+73172,Australia,"Another very successful Virgilius, the 2013 comes across as slightly more restrained on the nose, but explodes on the palate with bold flavors of apricot, floral notes and layers of gingery spice. It's a big, rich wine, with a slightly warm but elegant finish. Drink now.",The Virgilius,93,45.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Yalumba 2013 The Virgilius Viognier (Eden Valley),Viognier,Yalumba,#45347F
+73233,Australia,"Owner-winemaker Tod Dexter and his wife Debbie planted their first vines in 1987, making them reasonably mature for the region. The result is a medium-bodied restrained yet silky and seductive Pinot Noir. Black cherry, cola, cedar and spice elements combine easily on the nose and palate, then linger elegantly on the finish. Drink now–2020.",,92,50.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Dexter 2012 Pinot Noir (Mornington Peninsula),Pinot Noir,Dexter,#414286
+73524,Australia,"For a Cabernet Sauvignon, this is pleasantly fruit forward and supple. Hints of smoke and dried spices frame bright fruit flavors reminiscent of pomegranate and red currant, then finish with a burst of crisp acidity. Drink now–2020.",,88,16.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Earthworks 2013 Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Earthworks,#471163
+73526,Australia,"Blended from several inland sites, this is a good value in spice-driven Shiraz. Cinnamon, clove and vanilla lead the way, backed by strawberry and raspberry fruit. The finish is long, tart and slightly dusty, marked by just a hint of maple syrup. Drink now–2018.",,88,14.0,Victoria,Central Victoria,,Joe Czerwinski,@JoeCz,Four Sisters 2013 Shiraz (Central Victoria),Shiraz,Four Sisters,#471669
+73684,Australia,"Whether you ask me, God, or the lamp post, anyone who's ever had Australian Riesling will count this among the country's best versions of the variety. On the nose, it yields a little sweetness, plus some grapefruit and passion fruit; after a few minutes in the glass, the passion fruit aromas hold on and are joined by kiwi and other fresh tropical fruit. It's a very dry Riesling, with strong lime and a fresh herbal (perhaps cilantro?) flavors, which makes the mineral foundation seem that much drier and racier. Finishes medium-long with grapefruit and putty flavors. An excellent food wine…or an excellent  last meal in itself.",Polish Hill,91,30.0,South Australia,Clare Valley,,,,Grosset 2002 Polish Hill Riesling (Clare Valley),Riesling,Grosset,#443982
+73738,Australia,"Exceptionally intense, this is a wine for real aficionados of Australian Riesling. Stone and gravel tango with aromas of lime juice and coconut, all of which is underscored by a firm minerality. Long, dry finish. Delicious. Try with pork in a mustard sauce.",,88,16.0,South Australia,Eden Valley,,,,St Hallett 2008 Riesling (Eden Valley),Riesling,St Hallett,#443982
+73896,Australia,Picked relatively early—the finished alcohol level is only 11%—this is suprisingly soft and round while remaining light in body: It's a charming sylph. The only quibble is that the lime-like flavors fade relatively quickly on the finish.,The Love Symbol Single Site Savignin Blanc,88,15.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Zonte's Footstep 2009 The Love Symbol Single Site Savignin Blanc Savagnin (Langhorne Creek),Savagnin,Zonte's Footstep,#B5DD2B
+73907,Australia,"After recently tasting a knockout bottle of the 2005, this was disappointing. Ample cinnamon and mocha notes accent slightly pruny flavors; the tannins are soft, while the acids provide a lemony edge to the finish.",The Pict,88,135.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2007 The Pict Mataro (Barossa Valley),Mataro,Torbreck,#70CE56
+73909,Australia,"Smooth, easy-drinking and lushly textured, this Verdelho features peach and grapefruit notes that stay refreshingly clean and crisp on the finish. It should work well as an apéritif or with many fish dishes.",Sea Mist Single Site,88,15.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Zonte's Footstep 2009 Sea Mist Single Site Verdelho (Langhorne Creek),Verdelho,Zonte's Footstep,#277D8E
+74267,Australia,"This ambitious offering from Two Hands is a bit of dissappointment. The bold black cherry fruit seems slightly cooked or raisiny, and there's a grassy, herbal element as well. But it's also nicely concentrated and weighty, with a mouthwatering finish that redeems it.",Max's Garden,86,60.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Two Hands 2007 Max's Garden Shiraz (Heathcote),Shiraz,Two Hands,#471669
+74310,Australia,"This blend of 95% Shiraz and 5% Viognier displays some cool-climate character in its red berry and herbal pepper notes. It's medium bodied and slightly dusty in texture, with a tart, mouthwatering finish. Drink it over the next few years.",,89,19.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2008 Shiraz-Viognier (Yarra Valley),Shiraz-Viognier,Yering Station,#462F7C
+74572,Australia,"Lehmann's 2006 Barossa Cab is an easy-drinking, crowd-pleasing red that should find its way into many steakhouses as a by-the-glass pour. Minty notes accent cassis and tobacco flavors, while the wine's soft tannins will provide a welcome counterpoint to rich steaks.",,88,16.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2006 Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Peter Lehmann,#471163
+74849,Australia,"Rather subdued in fruit on the nose, showing more vanilla and toast, but this really expands on the palate, delivering great fruit sweetness and nuance in a harmoniously round, supple package. Finishes long, warm and spicy at 15.5% alcohol.",Marquis Philips G.G.,90,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,R Wines 2007 Marquis Philips G.G. Grenache (McLaren Vale),Grenache,R Wines,#481C6E
+74850,Australia,"Superripe fruit, befitting a hot year, suggests early consumption may be the best option for this supple, luscious wine. There's bits of spicy, leathery complexity to go with the intense black cherry fruit. Drink now–2013.",,90,21.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Rocland Estate 2008 Grenache (Barossa Valley),Grenache,Rocland Estate,#481C6E
+74854,Australia,"The 2007 Clarendon is in a more feminine, approachable style than Roman Bratasiuk's other 2007 Grenaches, featuring dried spices, watermelon and cherry aromas and fine—almost delicate—tannins. Cherry-berry flavors finish with hints of cinnamon and clove. Drink now–2015.",Clarendon,90,45.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2007 Clarendon Grenache (Clarendon),Grenache,Clarendon Hills,#481C6E
+75114,Australia,"This aged for 18 months in new French barriques, and the influence of that is marked. Cedary, gently sawdusty notes and a touch of nail polish are apparent on the nose, while the palate is admirably full bodied and richly textured. The finish is generally velvety, but also shows hints of varnish or paint thinner. Overall, the raw materials are impressive, but the wine comes across as a bit disjointed.",Les Amis,87,188.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2009 Les Amis Grenache (Barossa Valley),Grenache,Torbreck,#481C6E
+75134,Australia,"This is a nicely constructed Shiraz with some cool-climate leanings. It's medium in weight, with smoky scents, plum and cherry fruit and a firm, mouthwatering finish.",,87,65.0,New South Wales,Gundagai,,Joe Czerwinski,@JoeCz,Eden Road 2010 Shiraz (Gundagai),Shiraz,Eden Road,#471669
+75206,Australia,"A curiosity that's definitely worth trying, as aged Marsanne from anywhere other than Hermitage is a rarity. This features some hints of honey and toast on the nose, followed by notes of citrus and almond. It's round and mouthfilling on the palate, but falls away a bit quickly on the finish.",Museum Release,87,25.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2007 Museum Release Marsanne (Nagambie Lakes),Marsanne,Tahbilk,#228B8D
+75309,Australia,"Fleshy, opulent and exotic, this offers tropical notes reminiscent of apricot and mango that finish rich and warm, with odd spice notes.",,83,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail 2016 Chardonnay (South Eastern Australia),Chardonnay,Yellow Tail,#440154
+75320,Australia,"This remains a richly textured and weighty rosé, despite the fact that its color seems lighter than previous vintages. It's almost entirely Grenache, with bits of Shiraz (4%), Cabernet Sauvignon (2%) and Dolcetto (1%) filling out the blend. Hints of berries, ripe melon and white chocolate end on a mouthwatering citrus note, but this is built for the beefy side of your grilling menu.",,90,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2014 Rosé (Barossa Valley),Rosé,Turkey Flat,#450558
+75351,Australia,"This voluptuous, fleshy Shiraz seamlessly blends superripe berries with vanilla, coffee and cocoa notes. It's full-bodied, with a creamy texture that persists through the lengthy finish. Between the touch of warmth and ultrasoft tannins, smart consumers will want to drink this over the near term—now through 2015.",Ox,91,105.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Andrew Hardy 2005 Ox Shiraz (McLaren Vale),Shiraz,Andrew Hardy,#471669
+75355,Australia,"Two Hands' 2007 Gnarly Dudes is a nicely balanced wine, managing to be full bodied and supple in tannins while still coming in under 15% alcohol. Brown sugar and cinnamon shadings accent the main plum and earth elements, all wrapped up in a long, spicy finish. Drink now-2017.",Gnarly Dudes,91,35.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Two Hands 2007 Gnarly Dudes Shiraz (Barossa Valley),Shiraz,Two Hands,#471669
+75357,Australia,"Oliverhill seems to have hit the mark in 2008 with their Jimmy Section Shiraz, a seamless blend of blueberries and cream dressed up with savory notes of dark earth and dark coffee. Full-bodied and creamy textured, this densely concentrated wine should be at its best now-2020.",Jimmy Section,91,37.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Oliverhill 2008 Jimmy Section Shiraz (McLaren Vale),Shiraz,Oliverhill,#471669
+75362,Australia,"Dark and chocolaty in style, with hints of earth and espresso oozing in. This is a big, heavy, fudge-like Shiraz that comes across as impressive for its concentration if not for any sense of elegance or finesse. Might improve with aging, but might not; a gamble, so drink it over the next couple of years.",Oracle,91,70.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2006 Oracle Shiraz (Clare Valley),Shiraz,Kilikanoon,#471669
+75364,Australia,"One of the Hunter Valley's top bottlings, Brokenwood's Graveyard Vineyard is still marked by hints of toasty oak at this young stage in its evolution. Vanilla accents lifted sour cherry and cranberry aromas, but on the palate the flavors darken and deepen, trending toward black cherries and plum. Has a nicely balanced, silky texture in the mouth, then a firm, long finish suggesting cellaring. Drink 2012-2025.",Graveyard Vineyard,91,125.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2007 Graveyard Vineyard Shiraz (Hunter Valley),Shiraz,Brokenwood,#471669
+75365,Australia,"This joint-venture has been turning out consistently charming, balanced Shiraz over the past few vintages. The 2007 is simultaneously peppery-spicy, floral-perfumed and meaty-savory. It's medium-bodied, with a lovely plump softness to its mouthfeel, yet not without spine. Drink it over the next 5-8 years.",,91,21.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Domaine Terlato & Chapoutier 2007 Shiraz-Viognier (Victoria),Shiraz-Viognier,Domaine Terlato & Chapoutier,#462F7C
+75425,Australia,"Starts off with decent aromas of black cherries, dried herbs, coffee and vanilla, then adds a touch of something akin to maple syrup on the palate. Even for a Barossa Cabernet, it's atypically plump and round, with soft acids and almost a hint of sweetness on the finish.",,85,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kilroy Was Here! 2006 Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Kilroy Was Here!,#471163
+75522,Australia,"From dry-grown vines planted in 1973, this is classic Yarra Yering Shiraz, boasting hints of cracked pepper, earthy notes of root vegetables and hints of brown-sugar oak. It's medium bodied and crisp, with peppery, plummy, cigarbox flavors and a long, mouthwatering finish. Drink now–2025.",Underhill,93,90.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2010 Underhill Shiraz (Yarra Valley),Shiraz,Yarra Yering,#471669
+75527,Australia,"This paints a true picture of Margaret River in its sage and bay leaf shadings and concentrated cassis fruit. It's all framed by hints of vanilla and toasty oak, but the emphasis remains on dried herbs and fruit through the long, mouthwatering finish. Drink now–2030.",,93,29.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Xanadu 2013 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Xanadu,#471163
+75528,Australia,"Dark berry and plum fruit dominates, but hints of mint, vanilla and cedar add interest. Somewhere between silky and velvety, this full-bodied, richly textured Shiraz finishes long and appears to have the tannic structure to age well, though it's delicious now.",Entity,93,40.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,John Duval Wines 2014 Entity Shiraz (Barossa Valley),Shiraz,John Duval Wines,#471669
+75584,Australia,"At a modest 12.5% abv, this is a medium-bodied, only slightly fleshy Chardonnay. Understated smoke and citrus aromas kick things off, followed by flavors of mandarin orange, lemon and toasted cashew that finish crisp and tart.",,88,31.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Heggies Vineyard 2014 Chardonnay (Eden Valley),Chardonnay,Heggies Vineyard,#440154
+75857,Australia,"It's toasty from 17 months in French oak, but the wood is well balanced by cassis and the nose picks up some lovely hints of anise with air. Straightforward black-currant and vanilla flavors flow smoothly across the tongue. Soft tannins and low acidity make this a Cab that's meant to be enjoyed now. Editors' Choice.",,90,22.0,Western Australia,Mount Barker & Margaret River,,,,Sandalford 1999 Cabernet Sauvignon (Mount Barker & Margaret River),Cabernet Sauvignon,Sandalford,#471163
+75861,Australia,"Reminiscent of good white Burgundy, this atypically (for Australia) flinty Chard has notes of gunmetal, intricately intertwined with white peach and toasted oatmeal. Finishes soft and round but long, with hints of lemon.",,90,16.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Cheviot Bridge 2000 Chardonnay (Victoria),Chardonnay,Cheviot Bridge,#440154
+75864,Australia,"Sourced from the cool-climate regions of Margaret River and Mount Barker, this full-bodied Shiraz boasts plenty of peppery aromas, but also eucalyptus, sour cherry and dill. Shows more leather and caramel on the palate, finishing with soft, dusty tannins.",,90,24.0,Western Australia,Western Australia,,,,Sandalford 1998 Shiraz (Western Australia),Shiraz,Sandalford,#471669
+75865,Australia,"Boasts plenty of buttery tropical fruit set off by aromas of toast and smoke, then shines in the mouth, where the mouthfeel is custardy but not heavy and the fruit flavors shine. Finishes long and tart, seamlessly turning citrusy along the way.",,90,15.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Xanadu 2000 Chardonnay (Margaret River),Chardonnay,Xanadu,#440154
+75866,Australia,"This deliciously full-bodied and rich Chardonnay is unabashedly New World in style. From its caramel and tropical fruit aromas through its flavors of Golden Delicious apples, mango, vanilla and baking spices, it screams “Australia.” Best Buy.",,90,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Rothbury Estate 2001 Chardonnay (South Eastern Australia),Chardonnay,Rothbury Estate,#440154
+75871,Australia,"Starts off slowly, but opens considerably with air—so much so that it's probably worth decanting as you might a bottle of young white Burgundy. It's buttery and full, yet possesses a stony mineral quality that gives it balance. Initial peppery-spicy notes on the finish smooth out the longer it sits in the glass. Editors' Choice.",Isolation Ridge Vineyard,90,20.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Frankland Estate 2000 Isolation Ridge Vineyard Chardonnay (Western Australia),Chardonnay,Frankland Estate,#440154
+75887,Australia,"This plump, succulent wine is a solid value. Understated toast frames pineapple and melon in this fruit-driven style. Drink this crisp, appealing quaffer now–2018.",Tate,88,15.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Franklin Tate 2014 Tate Chardonnay (Margaret River),Chardonnay,Franklin Tate,#440154
+75893,Australia,"Kooyong's entry-level Chardonnay features glimpses of oak in its hints of vanilla, cinnamon and clove, but remains fruit-focused. Vibrant pineapple fruit zips along the palate, ending clean and refreshing.",Clonale,87,36.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Kooyong 2015 Clonale Chardonnay (Mornington Peninsula),Chardonnay,Kooyong,#440154
+75899,Australia,"While some previous vintages have shown more richness and complexity, this is still commendable. A hint of nail polish is a bit distracting, but the toasted coconut aromas and candied pineapple flavors offer plenty to like. Drink now.",FSW 8B Botrytis,87,35.43766346992153,South Australia,Wrattonbully,,Joe Czerwinski,@JoeCz,Yalumba 2014 FSW 8B Botrytis Viognier (Wrattonbully),Viognier,Yalumba,#45347F
+76037,Australia,"The result of a joint venture between the Chapoutier and Laughton families, this is a full-bodied, superripe wine. Aromas and flavors of chocolate and raisined cassis are almost Amarone-like, while the tannins are softly dusty in texture and the finish long.",,91,70.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Cluster M45 2008 Shiraz (Heathcote),Shiraz,Cluster M45,#471669
+76216,Australia,"The Pinot Noir is no slouch either, but Tolpuddle's 2014 Chardonnay is super. Faint hints of crème brûlée mark the nose, then ease into lime, pineapple and white peach notes on the palate. It's only medium in weight, but with a silky feel and a long mouthwatering finish. Drink now through 2022.",,94,60.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Tolpuddle 2014 Chardonnay (Tasmania),Chardonnay,Tolpuddle,#440154
+76332,Australia,"Simple, fruity and clean, with hints of toasted grain framing melon, fig and citrus flavors. Finishes on an anise note.",,84,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,RockBare 2006 Chardonnay (McLaren Vale),Chardonnay,RockBare,#440154
+76351,Australia,"Pretty impressive for the price, offering mint and cedar aromas followed by flavors of black cherry. There's also a sturdy core of savory elements, like roasted meat and coffee. The wine is full bodied and velvety in texture, with a long, mouthwatering finish. Drink now and over the next few years.",Reserve,88,13.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Jacob's Creek 2010 Reserve Shiraz (Barossa),Shiraz,Jacob's Creek,#471669
+76392,Australia,"When the alcohol levels are reined in to appropriate levels, this can be one of Australia's top Shiraz. The 2012 is a stunning example of balance and finesse, combining youthful scents of cassis and toasty oak with floral elements. There's ample weight and texture yet silky elegance at the same time, while already complex notes of orange pekoe and black currant are sure to gain even more with five or 10 years of cellaring. Drink 2020–2030.",Georgia's Paddock,95,85.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Jasper Hill 2012 Georgia's Paddock Shiraz (Heathcote),Shiraz,Jasper Hill,#471669
+76697,Australia,"No doubt trying to capitalize on the red blend trend, this comes across as well made, but a bit confected. Black cherry fruit is clean but simple, with a round, soft mouthfeel.",,83,14.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,19 Crimes 2013 Red (South Eastern Australia),Red Blend,19 Crimes,#3F4788
+76708,Australia,"Sourced from a single vineyard in the Blewitt Springs subregion, this is a plush, open-knit Mourvèdre that's ready to drink. Sage, cedar and menthol aromas give it decent complexity, while the flavors of grilled plums and barbecue smoke satisfy cravings for fruity and savory all at once. Drink now–2023.",,90,28.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Ess & See 2015 Mataro (McLaren Vale),Mataro,Ess & See,#70CE56
+76714,Australia,"This blended red brings in four of the five Bordeaux varieties (61% Cabernet Sauvignon, 27% Merlot, 8% Cabernet Franc, 4% Petit Verdot). Some prominent mint notes may limit its appeal, but it's otherwise a classic example of the genre, accenting cassis fruit with hints of vanilla and cedar. Despite the ample alcohol and a bit of warmth, there's also some austerity and firmness to the tannins. Drink 2018–2025.",Jim's Script,89,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Fox Creek 2013 Jim's Script Red (McLaren Vale),Bordeaux-style Red Blend,Fox Creek,#1F938B
+76751,Australia,"The ILR Reserve continues to be one of the top Hunter Semillons available in the U.S. The 2007 remains youthful, showing a pretty array of citrus aromas and flavors, medium body and a crisp texture. In another few years, this medium-bodied wine should start to develop nuances of honey and toast. Best after 2017.",ILR Reserve,90,48.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2007 ILR Reserve Semillon (Hunter Valley),Sémillon,Brokenwood,#2C728E
+76879,Australia,"This wine is defined by oak from start to finish, with brown sugar and liquid-smoke notes pervading. Undoubtedly there's some fruit in support, which fills out the wine's frame and adds some firm tannins to the mix, providing for potential longevity. The only question is whether it will hold up in the long term.",The Visionary Exceptional Parcel Release,92,180.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2010 The Visionary Exceptional Parcel Release Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+76943,Australia,"While this wine comes out of the chute loaded with toast, mocha and brown sugar-inflected oak, the wood falls appropriately into the background on the palate, allowing cassis fruit to come forward. It's firm and tannic, with a powerful structure that requires a few years to come into perfect balance; try it after 2020.",,91,26.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Di Giorgio Family Wines 2013 Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Di Giorgio Family Wines,#471163
+76960,Australia,"A step up from the winery's entry-level Hazard Hill bottling, the 2008 Omrah Shiraz is another terrific value. It takes plummy fruit and cedary oak, then ups the ante with complex notes of smoked meat and leather while silky tannins line the long finish. Drink now–2020.",Omrah,91,20.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Plantagenet 2008 Omrah Shiraz (Great Southern),Shiraz,Plantagenet,#471669
+77003,Australia,"Five years after the vintage, this is a fully mature Shiraz that shows off the Clare Valley's trademark acidity. Savory notes of bacon and spice add complexity to plum-like fruit, while the tannins are supple—the structure here is acid-based, not reliant on heavy extraction.",Eastside,89,26.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pikes 2003 Eastside Shiraz (Clare Valley),Shiraz,Pikes,#471669
+77028,Australia,"This has all the size and weight you've come to expect from Australia's most famous wine. Huge fruit and huge oak combine in a full-bodied, richly textured package that delivers waves of toasted coconut, vanilla and intense dark berries yet remains embryonic more than five years after the harvest. That said, the texture isn't quite as tight or as fine as some other vintages—expect this to be early maturing by Grange standards, and best from 2020–2040.",Grange,98,850.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2008 Grange Shiraz (South Australia),Shiraz,Penfolds,#471669
+77036,Australia,"RWT (unromantically derived from “Red Wine Trial”) is 100% Barossa Valley Shiraz, aged in 100% French oak. In some vintages, like this one, the combination is incredibly sumptuous, offering layers of blueberry and blackberry fruit intermingled elegantly with hints of French vanilla. It's long, subtle and complex on the finish—a stunning effort. It's approachable now, but should age well through 2030 or so.",RWT,96,150.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Penfolds 2009 RWT Shiraz (Barossa Valley),Shiraz,Penfolds,#471669
+77037,Australia,"Winemaker Dave Powell is no longer with Torbreck, but the 2007 RunRig is one of his finest efforts. The complexity is almost overwhelming, as the aromas range from peppery spice and roasted meat to blueberry and tappanade. It's mouth filling and expansive, yet retains fine acids and just the right amount of slightly dusty tannins on the long finish. Approachable now, but capable of lasting at least though 2020.",RunRig,96,225.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2007 RunRig Shiraz-Viognier (Barossa Valley),Shiraz-Viognier,Torbreck,#462F7C
+77042,Australia,"This is likely the most ageworthy Shiraz winemaker John Duval has crafted since leaving Penfolds. The oak is subtle, the fruit still tight. It's full bodied but bursting with potential, shown in hints of black cherries and plums, mocha and mint. The finish is long, mouthwatering and softly dusty in texture, making it luscious yet firm. Drink 2018–2030.",Eligo,95,100.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,John Duval Wines 2010 Eligo Shiraz (Barossa),Shiraz,John Duval Wines,#471669
+77044,Australia,"The fruit for this offering comes from the Green's and Crowhurst vineyards. This wine brings a a sense of cellarworthiness, from the inky color and dense, impenetrable bouquet to the richly tannic palate and long, plushly textured finish. Right now, it delivers hints of toast and mint, blueberry and plum fruit and savory notes of roasted meat and mocha. Drink 2018–2025+.",R Reserve,95,105.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2009 R Reserve Shiraz (Barossa Valley),Shiraz,Kilikanoon,#471669
+77046,Australia,"With aromas and flavors that range widely from grilled meat, espresso and black olive to dried herbs, cracked pepper and blueberry, this is an enormously complex wine. It's full bodied but balanced by ample acidity, which imparts terrific length to the finish. Drink now–2017, possibly longer.",The Factor,95,125.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2007 The Factor Shiraz (Barossa Valley),Shiraz,Torbreck,#471669
+77415,Australia,"Ripe and generous, this is another good value in Yellowtail's reserve line. Boysenberry, blueberry and delicate licorice scents work the nose, followed by sweet raspberry flavors in the mouth. Oak-derived coconut aromas seem to sit on top of the wine but may integrate better after a year in bottle.",The Reserve,87,11.0,Australia Other,South Eastern Australia,,,,Yellow Tail 2007 The Reserve Shiraz (South Eastern Australia),Shiraz,Yellow Tail,#471669
+77425,Australia,"The cool climate of Tasmania has lent this crisp white an edge of racy acidity that supports intense mineral, mango and cut grass notes. It turns somewhat softer on the finish but remains an impressive, well-balanced effort. Drink now.",,87,25.0,Tasmania,Tasmania,,,,Tamar Ridge 2006 Sauvignon Blanc (Tasmania),Sauvignon Blanc,Tamar Ridge,#482172
+77428,Australia,"The nose is in a somewhat closed state, dominated by tar, rubber and olive notes. However, given the mouth-coating tannins, this wine has plenty of time to open up and show its stuff. The moderately complex palate displays appealing leather, blackberry and eucalyptus notes, capped off by a fairly long finish. Try in 2–3 years.",,87,25.0,South Australia,Barossa Valley,,,,Sieber Rd 2006 Shiraz-Viognier (Barossa Valley),Shiraz-Viognier,Sieber Rd,#462F7C
+77432,Australia,"Lemon-lime aromas complement an otherwise steely but complex bouquet. The wine is a bit simpler in the mouth but displays refreshing lemon flavors that fade into a chalky, long finish with a powerful kick of acidity. Imported by Bluewater Wine Company.",,87,20.0,Western Australia,Western Australia,,,,Strait Jacket 2007 Chardonnay (Western Australia),Chardonnay,Strait Jacket,#440154
+77433,Australia,"This is the sort of wine that should generate some enthusiasm in America for Australian Grenache. It's full-bodied, but soft and cuddly, an easy-drinking, fruit-and-oak blend with flavors of vanilla and jammy fruit. The only quibble is the relatively fast fade on the finish. Drink now.",Cadenzia Old Vine,87,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Tapestry 2006 Cadenzia Old Vine Grenache (McLaren Vale),Grenache,Tapestry,#481C6E
+77435,Australia,Jacob's Creek turns out yet another impressive value with this buttery example from South Australia. The movie-house popcorn nose fades into an intense palate of almond and macadamia nuts with enough acidity to carry the full body. Try with pecan-crusted salmon.,Reserve,87,13.0,South Australia,South Australia,,,,Jacob's Creek 2007 Reserve Chardonnay (South Australia),Chardonnay,Jacob's Creek,#440154
+77681,Australia,"This Riesling is all about good acidity and a clean,  racy mouthfeel. Flavors are fresh but don't speak volumes—think pear skin, plus some grass. Offers nice banana, pear and dust aromas on the nose.",Isolation Ridge Vineyard,87,18.0,Western Australia,Western Australia,,,,Frankland Estate 2001 Isolation Ridge Vineyard Riesling (Western Australia),Riesling,Frankland Estate,#443982
+77689,Australia,"Understated stone fruit and mineral flavors dominate the palate, with peach-pit and citrus notes on the finish. Round and resinous in the mouth; nose offers a white peppery, plasticy bite.",Reserve Bin,87,19.0,South Australia,Eden Valley,,,,Penfolds 2002 Reserve Bin Riesling (Eden Valley),Riesling,Penfolds,#443982
+77691,Australia,"A fresh and crisp, though unusual, wine. It has pleasing flavors yet tastes like it's made from flowers rather than fruit. There's jasmine, honeysuckle—you name it—on both the nose and the palate. Lean in the mouth, with a hint of apple skin toward the finish.",,87,19.0,Tasmania,Tasmania,,,,Pipers Brook Vineyard Estate 2002 Riesling (Tasmania),Riesling,Pipers Brook Vineyard Estate,#443982
+77697,Australia,"This medium-bodied Chard has nice oregano and thyme notes on the nose, with more fresh herbal accents on the palate. Cream and nutmeg flavors are most prevalent in the mouth; finishes with pleasant floury-nutmeg notes.",,87,13.0,South Australia,McLaren Vale,,,,Morgan Simpson 2000 Chardonnay (McLaren Vale),Chardonnay,Morgan Simpson,#440154
+77698,Australia,"Made “without the influence of oak maturation,” and it shows.  A very good, clean, interesting wine with fresh peach and citrus flavors, medium body and pretty floral aromas. Not complicated, but pleasant. Finishes with chalk and a little sweetness.",,87,10.0,Australia Other,South Eastern Australia,,,,Nardone Baker 2001 Chardonnay (South Eastern Australia),Chardonnay,Nardone Baker,#440154
+77700,Australia,"Smooth on the palate, though perhaps not as crisp and dry as some of its countrymen. Still, it has fragrant thyme and rose notes on the nose, with white pepper and sweet yellow fruit flavors. A thread of white pepper from beginning to end holds it all together.",,87,16.0,Tasmania,Tasmania,,,,Ninth Island 2001 Riesling (Tasmania),Riesling,Ninth Island,#443982
+77709,Australia,"Tropical—the flavors are reminiscent of mango and guava—but lacking in intensity. It's cleanly made, showing just a hint of warmth on the finish.",,83,5.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Kelly's Revenge 2006 Chardonnay (South Eastern Australia),Chardonnay,Kelly's Revenge,#440154
+77718,Australia,"Possibly a little sweet, this is a soft, easygoing Chardonnay marked by clean, modest pear and melon flavors.",,83,5.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Banrock Station 2006 Chardonnay (South Eastern Australia),Chardonnay,Banrock Station,#440154
+77790,Australia,"From a remote Western Australia region, this is a fine value. Ripe mulberries and cracked pepper mingle easily on the nose, picking up a hint of mint on the palate. It's medium to full in body, with a supple, creamy texture and a long silky finish.",Rocky Gully,91,25.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2013 Rocky Gully Shiraz (Frankland River),Shiraz,Frankland Estate,#471669
+77796,Australia,"A splash of Barbera enlivens this wine, which boasts boysenberry, understated earthy notes and a dash of vanilla. The tannins are firm, suggesting at least 10 years of ageability.",Luna,91,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wit's End 2014 Luna Shiraz (McLaren Vale),Shiraz,Wit's End,#471669
+77881,Australia,"For an Australian Grenache, this has an invitingly cool, herbal bouquet, hinting at dried flowers and black tea. But it's unapologetically full-bodied and rich on the palate, adding black cherries and dark chocolate to the mix. It's warm, velvety and almost fudge-like on the finish yet not raisiny at all. Drink it over ?the next few years.",Bush Vine,92,36.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Chapel Hill 2010 Bush Vine Grenache (McLaren Vale),Grenache,Chapel Hill,#481C6E
+78015,Australia,"Despite its modest alcohol content, this is a medium-bodied dry wine. Like the wines from some Mosel vineyards, the fruit notes hint at red berries or stone fruit in this vintage, backed by strong citrus flavors. This should age well through at least 2025.",Isolation Ridge Vineyard,91,40.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2014 Isolation Ridge Vineyard Riesling (Frankland River),Riesling,Frankland Estate,#443982
+78023,Australia,"Sourced from the northern Barossa, the name pays homage to the fact that this is not a stereotypical fruit bomb. Instead, it's a savory, meaty wine featuring hints of cola and raspberry. Fermented with “wild” yeasts in open-top vats and matured largely in used French oak puncheons (500 liters), this is a balanced, medium-bodied red well suited to the dinner table.",Paradox,91,45.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2012 Paradox Shiraz (Barossa),Shiraz,Yalumba,#471669
+78144,Australia,"Leeuwin's Chardonnay continues to be a standard-bearer for Margaret River and all of Australia. The 2012 Art Series is subtly toasty on the nose, blossoming with time into full-on crème brûlée aromas, while the palate offers creamy-textured notions of tropical fruit and custard. The long finish reverberates with fruit, suggesting plenty of aging potential, up to 10 or 12 years.",Art Series,94,89.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2012 Art Series Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+78363,Australia,"Marked by struck flint and petrol notes on the nose, this medium-bodied wine is the most richly textural of Franklin Estate's three single-vineyard wines. Crushed stone and citrus notes linger through the finish.",Netley Road Vineyard,91,35.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2014 Netley Road Vineyard Riesling (Frankland River),Riesling,Frankland Estate,#443982
+78375,Australia,"I can't recall a misstep from this reliable producer of Tasmanian sparkling. The latest vintage release is remarkably fresh and zesty, bursting with green apple and citrus, with just hints of toasted brioche. This light- to medium-bodied wine is a blend of 53% Chardonnay and 47% Pinot Noir.",Pipers River,91,40.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Jansz 2009 Pipers River Sparkling (Tasmania),Sparkling Blend,Jansz,#38578C
+78380,Australia,"Cedar, chocolate and cherry are the main players, with hints of alfalfa adding a modicum of complexity. It's full bodied, round and warm, with tannins that seem firmer than many in this price category, making it a good steakhouse red. Drink it now and over the next several years.",Jester,90,21.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2009 Jester Shiraz (McLaren Vale),Shiraz,Mitolo,#471669
+78381,Australia,"A good value in New World Cabernet, with supple, silky tannins framing cassis fruit that's just starting to show some evolution toward cedar, leather and earth. Lingering vanilla and a burst of tart berries mark the finish. Drink now–2018.",,90,20.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Morambro Creek 2009 Cabernet Sauvignon (Padthaway),Cabernet Sauvignon,Morambro Creek,#471163
+78399,Australia,"Sure, this wine is full bodied and lush, filled with ripe raspberry fruit, but there is also a sense of underlying structure, and some lovely herb-spice complexities, like rhubarb, cedar, cinnamon, vanilla and cracked pepper. Drink it over the next 2–3 years.",Lights Out,90,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Ross Estate 2009 Lights Out Shiraz (Barossa Valley),Shiraz,Ross Estate,#471669
+78405,Australia,"Expansive, round and supple in the mouth, this Shiraz features lush raspberry fruit, framed by vanilla oak. There's a tart edge to the finish, providing a solid sense of balance to the lingering warm, chocolaty notes. Drink now.",Entity,90,40.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,John Duval Wines 2009 Entity Shiraz (Barossa),Shiraz,John Duval Wines,#471669
+78417,Australia,"A good value in a more savory Shiraz, Juniper Crossing's 2005 features meaty, peppery—even mushroomy—aromas, while flavors of blackberry and black olive build to a spicy crescendo on the finish. Imported by Tom Eddy Wines.",Crossing,90,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Juniper 2005 Crossing Shiraz (Margaret River),Shiraz,Juniper,#471669
+78421,Australia,"This is a full-throttle, rich and moderately dense Shiraz with bold aromas of raspberry and plum. Chocolate notes develop on the palate, adding more complexity. Velvety on the finish, where there's also a touch of alcoholic warmth. Imported by International Vines, Inc.",RSW,90,60.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2005 RSW Shiraz (McLaren Vale),Shiraz,Wirra Wirra,#471669
+78422,Australia,"This full-bodied Shiraz comes out of the chute a bit tarry and reductive, but opens up to show complex aromas of grilled meat, cola and espresso, with flavors of coffee and black olives. Finishes long, with some dusty tannins, but still may not be the longest-lived vintage. Drink now or cellar through 2015.",Magill Estate,90,50.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2003 Magill Estate Shiraz (South Australia),Shiraz,Penfolds,#471669
+78443,Australia,"Exotic and intriguing, with an intense apple, pear and beeswax character that gives over to vanilla and caramel from toasty new oak. Winds up with a unique malted milk note. Really well done and original. Drink now to 2012.",Prelude Vineyards,89,36.0,Western Australia,Margaret River,,,,Leeuwin Estate 2007 Prelude Vineyards Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+78445,Australia,"A great representative of Australian Grenache, with flavors of black fruit, road tar and raspberry liqueur fading to a palate of brambly fruit, all of which is couched in mocha and vanilla tones from toasty French oak. There's a bit of raspberry jam and a faint grip on the medium finish. Drink now.",Old Vine,89,25.0,South Australia,McLaren Vale,,,,Yangarra Estate Vineyard 2007 Old Vine Grenache (McLaren Vale),Grenache,Yangarra Estate Vineyard,#481C6E
+78458,Australia,"A minty note gives a slightly lifted edge to this wine's aromas of mixed berries. On the palate, it's a rich, chocolaty wine that even hints at asphalt, balanced by tart berries.",,89,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kilroy Was Here! 2006 Shiraz (Barossa Valley),Shiraz,Kilroy Was Here!,#471669
+78460,Australia,"You won't find much varietal character in this blend of Viognier, Riesling, Chardonnay, Verdelho and Semillon, but what you get is a medium-bodied white that should prove versatile at the table. Peach, pear and citrus aromas and flavors are carried by moderate weight and a slightly creamy texture.",Buzz Cut,89,14.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,Shoofly 2007 Buzz Cut White (Adelaide),White Blend,Shoofly,#32638D
+78575,Australia,"Pungent boxwood notes unfold on the nose, while the palate offers hints of tomato and tobacco leaves alongside white grapefruit. This medium-bodied wine finishes bright, marked by fresh greens.",,87,14.0,Victoria,Central Victoria,,Joe Czerwinski,@JoeCz,Four Sisters 2015 Sauvignon Blanc (Central Victoria),Sauvignon Blanc,Four Sisters,#482172
+78603,Australia,"Scents of vanilla and baking spices frame bold raspberry fruit on the nose, while the flavors take a more savory turn, toward mocha and grilled meat. This is full bodied and maybe even a touch warm, but it works, ending long and plush. Drink now–2025.",The Commitment,93,33.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Lambert 2013 The Commitment Shiraz (Barossa Valley),Shiraz,Lambert,#471669
+78680,Australia,"According to Hewitson, the Old Garden—source for this wine—was planted in 1853, likely making it the oldest Mourvèdre in existence. This vintage is bright-fruited, offering notes of strawberry, raspberry and even watermelon, framed by hints of cedar, vanilla and dark chocolate. The tannins are supple, letting crisp acidity drive the long finish.",Old Garden,91,95.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Hewitson 2009 Old Garden Mourvèdre (Barossa),Mourvèdre,Hewitson,#83D34B
+78714,Australia,"This release deserves some sort of award for consistency, year in and year out. The 2011 is light to medium in body and long, zesty and vibrant on the finish. Aromas and flavors of bergamot, honey (although the wine is completely dry) and toast are classic aged Eden Valley Riesling. Drink now–2030.",The Contours Museum Reserve,93,45.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Pewsey Vale 2011 The Contours Museum Reserve Riesling (Eden Valley),Riesling,Pewsey Vale,#443982
+78721,Australia,"An outstanding effort in a difficult vintage, these old vines (the oldest were planted in 1889) have turned out a super wine. Complex aromas and flavors range from smoke, thyme blossom and licorice to apricots and black cherries. this is medium to full in body, with crisp acids and supple tannins that impart a silky feel to the long finish. Drink now–2025.",The Tri-Centenary,93,54.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2011 The Tri-Centenary Grenache (Barossa),Grenache,Yalumba,#481C6E
+78938,Australia,"The mouthfeel of this wine is just right—an airy, delicate lacework that glides the flavors over the tongue. But the flavors are just so-so, harkening back to the Kinks famous line, “C-O-L-A cola.” Finishes with some dry tannins and a touch of citrus. —J.C.",,85,25.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Nepenthe 1999 Pinot Noir (South Australia),Pinot Noir,Nepenthe,#414286
+78939,Australia,"This individual and exotic wine boasts aromas of sweet bay leaves, dried apricots and crushed black pepper. The fruit flavors are tart, veering toward red cherries and apple skin, finishing with firm acids and tannins. Drink young with herbed roasts to help bring out the fruit. —J.C.",Estate Reserve,85,20.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Blue Pyrenees 1999 Estate Reserve Shiraz (Victoria),Shiraz,Blue Pyrenees,#471669
+78941,Australia,"The Grenache introduces an interesting stone-fruit influence to this 60-40 blend, something akin to peaches. There's also plenty of smoky, toasty oak, dried spices and chocolate, ending on a liqueur-like note. Full and supple; drink now. —J.C.",Shiraz-Grenache,85,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Goundrey 1999 Shiraz-Grenache Red (South Eastern Australia),Red Blend,Goundrey,#3F4788
+79045,Australia,"In certain vintages, this wine can be excellent, but in 2008 it's merely good. The fruit—a blend of Cabernet Sauvignon (49%), Cabernet Franc (32%) and Merlot (19%)—comes across as slightly pruny or stewed, while the tannins remain firm and leathery.",Chertsey,87,50.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2008 Chertsey Red (Coonawarra),Bordeaux-style Red Blend,Penley Estate,#1F938B
+79046,Australia,"This could be straight out of New Zealand given its styling, which features pungent notes of crushed tomato leaf and gooseberries. It's light and refreshing, with a clean, crisp finish.",,87,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2010 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Sidewood,#482172
+79051,Australia,"This wine starts off a bit tarry or rubbery, but decanting allows the bright berry fruit to come forward. Raspberries are limned with hints of mint and other herbs and framed by vanilla. It's medium-bodied, with a tangy finish and a crisp, satiny texture. Drink now.",Benchmark,87,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Grant Burge 2010 Benchmark Shiraz (South Australia),Shiraz,Grant Burge,#471669
+79054,Australia,"A supple, medium-bodied Shiraz ideal for near-term consumption, the 2009 Block 50 Shiraz delivers clean aromas and flavors of dark fruit—black cherries and plums—and a hint of vanilla. It does turn a bit tart on the finish.",,87,10.0,Australia Other,Central Ranges,,Joe Czerwinski,@JoeCz,Block 50 2009 Shiraz (Central Ranges),Shiraz,Block 50,#471669
+79123,Australia,"Shows decent weight and mouthfeel, along with aromas of yellow plums and citrusy flavors, just finishes a little too short and too tart to rate higher.",,84,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Four Sisters 2006 Chardonnay (South Eastern Australia),Chardonnay,Four Sisters,#440154
+79612,Australia,"Aromatic in style, this veers on the side of perfume on the nose. Nevertheless, it's very likable. Red apple skins and florals lead on the palate that's a little soapy, but is well balanced and stylish. More red apple lingers on the finish. Drink now–2020.",Signature Series,89,20.0,Western Australia,Margaret River,,,,Robert Oatley 2016 Signature Series Chardonnay (Margaret River),Chardonnay,Robert Oatley,#440154
+79675,Australia,"Sweet corn, melon and citrus flavors coat the mouth, leaving a slightly oily impression.",Single Vineyard,83,13.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2006 Single Vineyard Chardonnay (McLaren Vale),Chardonnay,Yangarra Estate Vineyard,#440154
+79768,Australia,"Yering Station makes a regular Chardonnay and a Reserve Chardonnay as well; this is its entry-level Chard, and quite a good one. Bright pineapple notes and a hint of grilled fruit are clean and fresh if somewhat straightforward in this medium-bodied wine. Drink now.",Little Yering,87,13.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2008 Little Yering Chardonnay (Yarra Valley),Chardonnay,Yering Station,#440154
+79936,Australia,"From an inland region of Victoria, this is a mature wine. The tannins are plentiful but soft, wrapped around a core of dried cherries and plums. Hints of cedar and brown sugar add the impression of sweetness, while notes of mint and cracked pepper bring freshness.",Eric Stevens Purbrick,90,66.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2007 Eric Stevens Purbrick Shiraz (Nagambie Lakes),Shiraz,Tahbilk,#471669
+80093,Australia,"Supple and easy to drink, this is an example of the sort of wine that will win fans for Australian wine. Despite its approachability, it's savory in style, not jammy or confected, with hints of black olive and cola highlighted by red plum and cranberry fruit on the finish. Drink now.",,87,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Bulletin Place 2014 Shiraz (South Eastern Australia),Shiraz,Bulletin Place,#471669
+80146,Australia,"This is a traditional, dry Clare Riesling, with a linear, lean profile and crisp acids. Crushed stone accents lemon-lime flavors. Oyster me, please!",Traditionale,88,24.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pikes 2014 Traditionale Riesling (Clare Valley),Riesling,Pikes,#443982
+80149,Australia,"This ticks all the boxes of young Hunter Semillon: green, acidic, underripe. Serve it with oysters now (it makes a convincing pairing), or wait 5–8 years for additional richness and complexity to emerge.",,88,25.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Tyrrell's 2015 Semillon (Hunter Valley),Sémillon,Tyrrell's,#2C728E
+80201,Australia,"Starts off slightly gamy and meaty, then adds bright blueberry fruit and hints of peppery spice. It's creamy-smooth in texture, medium-bodied and nicely balanced on the juicy, mouthwatering finish. A good value red to lay in for summer grilling.",,90,14.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Nine Stones 2007 Shiraz (McLaren Vale),Shiraz,Nine Stones,#471669
+80327,Australia,"For an Australian Cabernet, this is surprisingly delicate on the nose and medium bodied on the palate. Herbal notes intertwine with cassis and licorice, ending with finely ground baking spices. Drink now.",,85,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Bulletin Place 2013 Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Bulletin Place,#471163
+80355,Australia,"Although this starts off showing loads of vanilla and bright, boysenberry-like fruit, this is not a simple fruity concoction; there's some elegance here, and some savory notes of coffee and roasted meat as well. Drink this rich, full-bodied Shiraz over the next few years.",Dead Letter Office,91,27.0,South Australia,McLaren Vale-Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2008 Dead Letter Office Shiraz (McLaren Vale-Padthaway),Shiraz,Henry's Drive Vignerons,#471669
+80605,Australia,"Rubus is a label for wines selected by the fine American importer Fran Kysela, MS. The 2013 is a full-bodied, velvety-textured Barossa Shiraz, offering a rich, luxurious mouthfeel. Cedar and mocha notes are apparent, but there's ample underlying plummy fruit and a long, plush finish. Drink now–2020.",,92,19.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Rubus 2013 Shiraz (Barossa),Shiraz,Rubus,#471669
+80612,Australia,"This is nearly equal parts Shiraz, Mataro and Grenache, full bodied and creamy in texture. Black cherries and peppery spice show up on the nose, while the palate adds brighter red raspberries, bass notes of ripe plums, sweet hints of brown sugar and savory, meaty complexity. Drink now–2020.",Three Gardens,92,20.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2012 Three Gardens Red (Barossa),Red Blend,Langmeil,#3F4788
+80613,Australia,"Vanilla, cedar and mint notes mark the nose, while this wine boasts just enough fruit on the plate to carry the lavish oak. It's full bodied, creamy and supple, amply concentrated but still very approachable. Drink now–2023.",Savitar,92,75.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2012 Savitar Shiraz (McLaren Vale),Shiraz,Mitolo,#471669
+80650,Australia,"Complex, rich and weighty, this is a Chardonnay that avoids overt fruitiness in favor of scents of truffle, tobacco and earth, then folds in flavors of honey and spice. Drink now.",Maxwell Vineyard,90,30.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Peter Howland 2005 Maxwell Vineyard Chardonnay (Hunter Valley),Chardonnay,Peter Howland,#440154
+80784,Australia,"For one of Jansz's top sparklers, this particular vintage is a little off the mark. Starting on the vegetal side, with notes of wet grass, pear and bruised apple, the palate is rich but mealy, finishing on the same bruised apple and vegetal characters as the nose.",Vintage Cuvée,87,44.0,Tasmania,Tasmania,,,,Jansz 2011 Vintage Cuvée Sparkling (Tasmania),Sparkling Blend,Jansz,#38578C
+80863,Australia,"This wine was aged in hogsheads (300 liter) and demi-muids (500 liter). The oak provides a subtle frame, adding hints of pencil shavings and scorched pie crust to the ripe berry flavors. The wine is still big, lush and unmistakably Barossa Valley, showing off raspberries and blueberries to an unusual (and welcome) extent. Supple enough to drink now, it should also age well through at least 2025.",The Basket Case Old Vine,93,33.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Thistledown 2013 The Basket Case Old Vine Shiraz (Barossa Valley),Shiraz,Thistledown,#471669
+80875,Australia,"This Chardonnay is a little heavy-handed on the butterscotch or caramel, top to bottom, but its citrus and mineral accents keep the toastiness in check. Offers yellow fruit on the palate and on the nose.",Summers,87,18.0,South Australia,Eden Valley,,,,Grant Burge 2000 Summers Chardonnay (Eden Valley),Chardonnay,Grant Burge,#440154
+80876,Australia,"Refreshing and straightforward, with crisp white peach flavors on the palate. Nose offers floral, vanilla and citrus notes; finish offers a dash of mint or eucalyptus. There's toast here from start to finish, but it's subtle.",,87,15.0,South Australia,South Australia,,,,Fox Creek 2002 Chardonnay (South Australia),Chardonnay,Fox Creek,#440154
+80890,Australia,"This Riesling is smooth in the mouth, with yellow-fruit flavors and aromas—banana is particularly prevalent—and a fine dusting of chalk. Opens and closes with nice citrus accents.",Watervale,87,25.0,South Australia,Clare Valley,,,,Grosset 2002 Watervale Riesling (Clare Valley),Riesling,Grosset,#443982
+80891,Australia,"A harmonious, balanced wine, with bright citrus and white stone fruit aromas, and vanilla and cream nicely balancing yellow fruit on the palate. At this price, it's a no-brainer. Drink now.",Nottage Hill,87,8.0,Australia Other,South Eastern Australia,,,,Hardys 2002 Nottage Hill Chardonnay (South Eastern Australia),Chardonnay,Hardys,#440154
+80892,Australia,"Whereas other Oz Rieslings can be described as having light chalky notes, this one's got rocks and boulders. It's dry in the mouth, with lime skin and a bold rocky-slatey sort of minerality. Has a slight spritz in the mouth, with star fruit on the finish and melon notes on the nose.",Reserve,87,14.0,South Australia,South Australia,,,,Jacob's Creek 2002 Reserve Riesling (South Australia),Riesling,Jacob's Creek,#443982
+80896,Australia,"Focused in the mouth with just a touch of creaminess, the Logan offers pear and nutmeg flavors, and a hint of green apple on the finish. It's not a mouthfilling, overly flashy wine, but this could be a good thing if you're pouring it with dinner. Try it with your first-course seafood dish.",Reserve,86,21.0,New South Wales,Orange,,,,Logan Australia 1999 Reserve Chardonnay (Orange),Chardonnay,Logan Australia,#440154
+80932,Australia,"Hugh Hamilton proves that Yalumba's success with this tricky variety isn't a fluke, offering genuine Viognier expression at a realistic price. Ripe muskmelon and apricot notes leave a round, full-bodied impression on the palate, finishing with musky spice. Drink now.",The Loose Cannon,88,16.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hugh Hamilton 2009 The Loose Cannon Viognier (McLaren Vale),Viognier,Hugh Hamilton,#45347F
+81043,Australia,"As might be expected, this has some familial similarities with the 2004 version (also reviewed this issue). It's full-bodied and dark-fruited, but the acids are brighter and the mouthfeel less luxurious, ending on a crisp note. Give it another year or two in the bottle to see if it develops more lushness.",1850 Old Vine,89,80.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Cirillo 2005 1850 Old Vine Grenache (Barossa Valley),Grenache,Cirillo,#481C6E
+81053,Australia,"Grenache isn't as common in the Clare Valley as it is in Barossa or McLaren Vale, but Reilly's is a consistent source. The 2005 is dense and chocolaty, packed with plum flavors that are on the edge of prune and featuring a touch of warmth on the long, fudge-like finish. Drink now.",Old Bushvine,89,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Reilly's 2005 Old Bushvine Grenache (Clare Valley),Grenache,Reilly's,#481C6E
+81063,Australia,"My least favorite of the 2005 CH Grenaches, the Blewitt Springs is still an impressive wine. Dark fruit aromas and flavors of blueberry, blackberry and plum are accented by hints of dried spices and pepper. It's creamy on the midpalate, then firms up on the finish, where a touch of heat is detectable. Drink 2010–2018.",Blewitt Springs,89,75.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2005 Blewitt Springs Grenache (Clarendon),Grenache,Clarendon Hills,#481C6E
+81069,Australia,"Consistent with the Penfolds style, this is a robust, ageworthy Cabernet that remains varietally distinct. Hints of mint mark the nose and the palate, but the core is cassis, framed by touches of vanilla. Firm tannins on the finish suggest cellaring through at least 2010.",Bin 407,89,31.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2005 Bin 407 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Penfolds,#471163
+81070,Australia,"Shows a lot of oak character upfront, starting from its aromas of cedar, vanilla and toasted coconut. Thankfully, dark fruit flavors emerge on the palate, adding weight and interest. It's soft in texture, with supple tannins and lingering toast on the finish. Drink now–2012.",,89,40.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Petaluma 2004 Cabernet Sauvignon-Merlot (Coonawarra),Cabernet Sauvignon-Merlot,Petaluma,#345F8D
+81298,Australia,"A big (15.6% alcohol) wine, the 2006 Bella's Garden nevertheless comes across as balanced and drinkable in its youth, marrying a rich, creamy texture with mixed berry fruit and hints of mint and vanilla. Avoids any cooked character, finishing long and fresh. Drink now–2015.",Bella's Garden,91,60.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Two Hands 2006 Bella's Garden Shiraz (Barossa Valley),Shiraz,Two Hands,#471669
+81331,Australia,"This is full-bodied, velvety-textured and expansive in the mouth, delivering plenty of bold cassis, chocolate and sage flavors. Some brighter, red-fruit notes mingle with mocha shadings on the surprisingly long finish.",,91,17.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Insurrection 2015 Red (South Eastern Australia),Red Blend,Insurrection,#3F4788
+81379,Australia,"A sturdy wine, sporting plenty of roasted cherries and caramel on a medium-weight frame. Turns strongly sour on the finish, where the flavor of charcoal dust also intrudes. —J.C.",Old Winery,82,15.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Tyrrell's 2000 Old Winery Pinot Noir (South Eastern Australia),Pinot Noir,Tyrrell's,#414286
+81380,Australia,"How can a Barossa Shiraz be so green? Its flavors are herbal to the point of being close to cabbage or green bean, with just enough high-toned cherry fruit to be acceptable. —J.C.",Sinner's,82,23.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Yunbar 2000 Sinner's Shiraz (Barossa Valley),Shiraz,Yunbar,#471669
+81387,Australia,"This lightweight wine seems prematurely aged, with aromas and flavors of damp earth and cremini mushrooms. —J.C.",,81,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Diamond Ridge 2000 Shiraz (South Eastern Australia),Shiraz,Diamond Ridge,#471669
+81388,Australia,"A disappointing effort from this normally reliable winery. There's some dark earth and fruit but it's hard to get at under a veil of charred oak, cellar dirt and alcohol. The finish tastes of coffee grounds. The mouthfeel is fine, the flavors just don't come together. —J.C.",Church Block,81,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 1999 Church Block Red (McLaren Vale),Red Blend,Wirra Wirra,#3F4788
+81416,Australia,"The small amount of Viognier helps to fill out this wine's mouthfeel, adding weight to the spice-driven flavors of cracked pepper, licorice, coffee and block olive. Finishes long and well structured, with a velvety texture to the tannins.",Estate Grown,90,36.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2006 Estate Grown Shiraz-Viognier (Yarra Valley),Shiraz-Viognier,De Bortoli,#462F7C
+81763,Australia,"Penley's vineyards, towards the warmer north end of Coonawarra, consistently produce noteworthy Shiraz. It's on the big size, at 15% alcohol, but structured, with bushels of mixed berries supported by cinnamon toast, brown sugar and a hint of mintiness. Drink it now and over the next 10 years.",Special Select,90,50.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2006 Special Select Shiraz (Coonawarra),Shiraz,Penley Estate,#471669
+81768,Australia,"Made in a very ripe style, this wine's traces of raisiny character detract slightly from its velvety, suede-like texture and ample concentration. It's still admirable for its concentration and richness, but some will find it overripe. Drink now-2015.",Roennfeldt Road Goose-yard Block,90,100.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Schubert 2006 Roennfeldt Road Goose-yard Block Shiraz (Barossa Valley),Shiraz,Schubert,#471669
+81775,Australia,"A lush, slightly unstructured but immensely pleasurable mouthful of Shiraz, the 2007 St. Jakobi boasts bright raspberries balanced by lashings of chocolate. Easy to drink, it should put smiles on the faces of Shiraz lovers everywhere. Drink it over the next few years.",St. Jakobi Single Vineyard,90,36.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Dutschke 2007 St. Jakobi Single Vineyard Shiraz (Barossa Valley),Shiraz,Dutschke,#471669
+81818,Australia,"There's a slightly herbal tinge to this blend's flavor profile, but it just adds interest to the otherwise rather jammy notes of cassis, brown sugar and baking spices. This wine is full bodied and ripe on the palate, with a soft finish.",Cabernet Sauvignon-Shiraz-Merlot,89,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Beastly Vines 2013 Cabernet Sauvignon-Shiraz-Merlot Red (South Australia),Red Blend,Beastly Vines,#3F4788
+81837,Australia,"Yalumba seems to trying more than most producers to rein in high alcohol levels, and the 2014 Y Series Shiraz is a very good effort. There's enough weight to give it substance without seeming overly heavy. Dark chocolate notes frame raspberry and plum fruit, then finish slightly dusty. Drink now–2023.",The Y Series,89,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2014 The Y Series Shiraz (South Australia),Shiraz,Yalumba,#471669
+81849,Australia,"Captivating, with zesty lemon and wet stones on the nose, followed by a complex medley of citrus, passionfruit and carnations on the palate. The wine finishes well, with punchy notes of lime marmalade and dry chalk. Try with smoked trout. Drink now for its vibrant fruit or lay down for a few years for more honeyed depth.",Hand Picked,90,15.0,South Australia,Clare Valley,,,,Knappstein 2008 Hand Picked Riesling (Clare Valley),Riesling,Knappstein,#443982
+81934,Australia,"From ex-Penfolds winemaker John Duval and made in part from vines over 150 years old, this Grenache offers a complexity and depth. This favors dark fruit on the nose and is chock full of intriguing aromas of cumin, clove, chocolate, sandalwood and mint. The palate offers more of the same multifariousness, with added minerality reminiscent of hot stones and graphite. Drink now–2027.",Annexus,92,60.0,South Australia,Barossa,,,,John Duval Wines 2015 Annexus Grenache (Barossa),Grenache,John Duval Wines,#481C6E
+81979,Australia,"Dark amber in color, this example of classic Muscat is wonderfully balanced between the freshness of youth and the power and complexity of age. Raisin, malt and Guinness stout-like notes meet vibrant orange-zest and honey characters in a sweet, harmonious whole.",Classic,92,35.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Stanton & Killeen NV Classic Muscat (Rutherglen),Muscat,Stanton & Killeen,#472676
+82031,Australia,"Matured in used French barriques, this nevertheless shows touches of toast and cedar alongside tart, fruit notes of cranberry and raspberry. It's full bodied and richly tannic, with crisp acids that accentuate the tannins on the finish. Drink 2020–2030.",Old Vine,88,32.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2013 Old Vine Grenache (McLaren Vale),Grenache,Yangarra Estate Vineyard,#481C6E
+82089,Australia,"This is the sort of Chardonnay that first put Australia on the radar of many American wine drinkers. It fits the “cheap and cheerful” description to a tee, offering hints of toast, medium body and clean, refreshing fruit flavors of pear, melon and pineapple. Drink now.",,86,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,St. Kilda 2014 Chardonnay (South Eastern Australia),Chardonnay,St. Kilda,#440154
+82408,Australia,"There's nothing wrong with this wine, which represents a solid first foray into the American market by this family-owned producer. Mint, vanilla and red berries mingle easily on the nose, while the palate offers medium to full body and a creamy texture. Drink now–2025.",Reserve,88,35.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Byrne 2013 Reserve Shiraz (Clare Valley),Shiraz,Byrne,#471669
+82469,Australia,"This is a full-bodied, plushly textured wine that doesn't quite go over the top. Vanilla and dill notes accent blackberry and plum fruit before finishing firm, crisp and long. This has all the ingredients, it just needs time to come together. Drink 2020–2030.",Short Row,92,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Fox Creek 2013 Short Row Shiraz (McLaren Vale),Shiraz,Fox Creek,#471669
+82473,Australia,"Dustings of brown sugar and cinnamon over black cherries leave a lasting impression on the nose of this full-bodied, creamy-textured Shiraz. Plum and chocolate notes creep in on the dry, savory finish.",,92,23.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Taltarni 2013 Shiraz (Victoria),Shiraz,Taltarni,#471669
+82699,Australia,"Probably because of its youth, this wine comes out of the chute a little tight and rubbery; try giving it a quick decanting, or swirl it aggressively in the glass to bring out the underlying cola and blackberry aromas and flavors. Turns slightly dusty on the finish, suggesting at least a few years' worth of drinkability.",d'Arrys Original,88,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 d'Arrys Original Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,D'Arenberg,#2D6E8E
+82705,Australia,"Tri-Centenary refers to the fact that these vines have lived in parts of three centuries, being planted prior to 1901. The 2006 isn't the most profoundly complex of recent vintages, but instead offers remarkably pure essences of cherries and berries, allied to a wonderfully silky texture that makes it awfully easy to drink.",Hand Picked Single Site Tri-Centenary Vineyard Vine Vale,88,70.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Yalumba 2006 Hand Picked Single Site Tri-Centenary Vineyard Vine Vale Grenache (Barossa),Grenache,Yalumba,#481C6E
+82811,Australia,"This is a classically styled Clare Riesling, from its hints of talcum powder, green apple and lime to its precise line and crisp finish. It's dry and undeniably tart and citrusy—perfect for aging 4–8 years.",,91,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2011 Riesling (Clare Valley),Riesling,Wakefield,#443982
+83067,Australia,"A fresh, food-friendly wine and a good value, the Old Winery Chardonnay has passion fruit, papaya and fresh herb flavors, with a light nougat aroma on the nose. On the palate, it's gravelly, and maybe a little spritzy. It's not a full, creamy, toasty blockbuster—but that's part of its charm.",Old Winery,88,14.0,New South Wales,Hunter Valley,,,,Tyrrell's 2002 Old Winery Chardonnay (Hunter Valley),Chardonnay,Tyrrell's,#440154
+83070,Australia,"Light stone fruit aromas on the nose; it's round in the mouth, with stone fruit, mineral and citrus flavors. A good aperitif, and a solid choice if creamy, oaky Chards just aren't your style.",,88,40.0,South Australia,Piccadilly Valley,,,,Barratt 2001 Chardonnay (Piccadilly Valley),Chardonnay,Barratt,#440154
+83076,Australia,"Though it starts with a burst of tropical yellow fruit and its accompanying sweetness, this is still a dry wine, with a strong mineral-and-citrus backbone. Finishes with more tropical fruit and some white pepper. Try it with Asian cuisine—this plus a ginger-based sauce makes for a good match.",,88,24.0,South Australia,Clare Valley,,,,Tower Estate 2002 Riesling (Clare Valley),Riesling,Tower Estate,#443982
+83077,Australia,"Zippy and fresh in the mouth, well balanced, with eye-opening fresh green herb and lemon peel flavors. The same green herb, plus some petrol, shows on the nose. A gravelly, minerally finish brings it to a dry close.",,88,21.0,South Australia,Clare Valley,,,,Mount Horrocks 2002 Riesling (Clare Valley),Riesling,Mount Horrocks,#443982
+83090,Australia,"Bright gold in color, with waxy melon aromas. Waxy melon aromas on the nose lead to peach, toast and beeswax in the mouth. Medium-bodied; a nice mineral-chalk note dries up the finish.",,87,24.0,New South Wales,Hunter Valley,,,,Pooles Rock Wines 2001 Chardonnay (Hunter Valley),Chardonnay,Pooles Rock Wines,#440154
+83091,Australia,"Carmel is the key player on the nose; it persists on the palate, where a hearty helping of zingy citrus flavors nicely balance the carmelly sweetness. Finishes with pear, citrus and toast.",,87,19.0,South Australia,Coonawarra,,,,Punters Corner 2000 Chardonnay (Coonawarra),Chardonnay,Punters Corner,#440154
+83092,Australia,"An interesting wine, at a good price: Has pastry dough, lime and yellow fruit aromas, and a slightly viscous texture. In the mouth, stone fruit wears a minerally cloak. White pepper and herb flavors add zip to the finish.",The Long Paddock,87,10.0,Victoria,Victoria,,,,Redbank 2002 The Long Paddock Chardonnay (Victoria),Chardonnay,Redbank,#440154
+83099,Australia,"Solve every steakhouse wine-ordering quandary with this bottle, which features enough structure to stand up to rare beef without any excessive weight. Hints of vanilla and dark chocolate add depth and interest to the red currant fruit, while fine, dusty tannins clean up the finish. Drink now–2023.",Potrait,89,19.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Peter Lehmann 2014 Potrait Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Peter Lehmann,#471163
+83105,Australia,"Yalumba generally offers fair value up and down its lineup, and this is a good example at the low end. Wet stone and lime aromas mark the nose, while the palate is pleasantly plump without being overly weighty. Pear and melon notes avoid the vegetal side of Sauvignon Blanc entirely. Drink now.",The Y Series,89,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2016 The Y Series Sauvignon Blanc (South Australia),Sauvignon Blanc,Yalumba,#482172
+83140,Australia,"This hearty Shiraz is no joke. The smoky, meaty nose blends right into bold fruit flavors of blueberries and mulberries. It's full-bodied and creamy-textured, with a plush yet vibrant finish. Drink now–2020.",Jester,91,22.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2012 Jester Shiraz (McLaren Vale),Shiraz,Mitolo,#471669
+83148,Australia,"A terrific example of drink-now pleasure from the Barossa, this Shiraz deftly combines cedar and vanilla notes with dark fruit flavors. It's richly textured, with velvety tannins and crisp acids that frame the long finish. Drink now–2020.",Faith,91,16.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,St Hallett 2013 Faith Shiraz (Barossa),Shiraz,St Hallett,#471669
+83255,Australia,"Smells meaty and charred, then folds in red berries, tea-like notes and peppery hints of cinnamon Red Hots. It's medium to full in body, with a crisp tart-berry finish.",,88,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Sea Change 2013 Shiraz (McLaren Vale),Shiraz,Sea Change,#471669
+83270,Australia,"Full bodied, supple and warm, this is a ripe Shiraz loaded with dark plum, cola and earth flavors. The finish turns spicy, with a slightly grainy tannin structure.",Red Silk,88,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Oliverhill 2013 Red Silk Shiraz (McLaren Vale),Shiraz,Oliverhill,#471669
+83357,Australia,"A throwback to the monster Shiraz style of old, with loads of toasty, vanilla-laden oak, meaty nuances and driving, intense boysenberry fruit, the 2004 Grange should prove tremendously long-lived. Its massive concentration and firm tannins suggest cellaring through 2020, after which it should drink well for at least another decade or two.",Grange,96,500.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2004 Grange Shiraz (South Australia),Shiraz,Penfolds,#471669
+83478,Australia,"Full-bodied, lush and creamy in texture, this Merlot epitomizes the Marquis Philips style. There's a coating of charred oak, superripe fruit and plenty of size without much acid or tannin. Drink this slightly warm (16.5% abv) wine over the next 6–9 months.",Marquis Philips,88,15.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,R Wines 2008 Marquis Philips Merlot (South Eastern Australia),Merlot,R Wines,#24848D
+83494,Australia,Earth and violets dominate the subtle nose on this elegant bottling from Western Australia. Plums and forest floor notes infuse the juicy palate that shows little tannin and leads to a crisp finish of moderate length.,,86,22.0,Western Australia,Margaret River,,,,Celestial Bay 2005 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Celestial Bay,#471163
+83499,Australia,Classic Semillon aromas of hay and quince create an intriguing but subtle opening act while the simpler palate displays some attractive cut-grass notes from the Sauvignon Blanc. A good partner for flavorful shellfish preparations.,,86,16.0,Western Australia,Margaret River,,,,Cape Mentelle 2007 Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Cape Mentelle,#3C4E8A
+83503,Australia,"Approachable and harmonious, this Cabernet offers leather and barnyard notes on a restrained nose while plum and earth on the palate are surrounded by creamy-soft tannins. Surprisingly long finish. Try with roasted veal.",,86,15.0,South Australia,South Australia,,,,Red Mud 2006 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Red Mud,#471163
+83505,Australia,"A pretty, relatively lightweight Pinot Noir, this offering from Western Australia starts off with hints of coffee and sour cherries, then develops more herbal notes and brown sugar with air. Flavors of cola, tart cherries and root vegetables finish a bit short.",,86,36.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Salitage 2005 Pinot Noir (Pemberton),Pinot Noir,Salitage,#414286
+83510,Australia,White pepper and dill scents make up a promising beginning and lead to a velvety palate with plenty of roasted meat and black cherry fruit. A fine choice with barbecue. Drink now to 2010.,Reserve,86,13.0,South Australia,South Australia,,,,Jacob's Creek 2006 Reserve Shiraz (South Australia),Shiraz,Jacob's Creek,#471669
+83615,Australia,"High-toned on the nose, coming close to a hint of mail polish, which detracts slightly from the flavors of stewed berries and dark chocolate. It's full-bodied and round, leaving an almost confected impression on the palate.",Sophie's Garden,86,60.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Two Hands 2006 Sophie's Garden Shiraz (Padthaway),Shiraz,Two Hands,#471669
+83808,Australia,"Austrian Bert Salomon has turned out a wonderful Grenache-based blend. Potent cherry-berry fruit and ample spice (licorice, mocha and pepper) combine in a plump midpalate and linger on the velvety finish.",Aestatis,93,49.0,South Australia,Southern Fleurieu,,Joe Czerwinski,@JoeCz,Salomon Estate 2009 Aestatis G-S-M (Southern Fleurieu),G-S-M,Salomon Estate,#26818E
+83816,Australia,"This has gone up in price over the years, but it's still a solid, relatively affordable example of Barossa Valley Shiraz. This is youthful and edgy, with meaty, savory notes accenting mixed berries and a hint of mint. The finish is a bit chewy right now, but mouthcoating and long.",Bishop,93,37.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Glaetzer 2013 Bishop Shiraz (Barossa Valley),Shiraz,Glaetzer,#471669
+83956,Australia,This peach- and pear-scented wine was bottled with screw caps so you needn't fear TCA. Baking spices accent simple peach and pear flavors in this medium-weight Riesling. Finishes dry and stony.,,87,17.0,Western Australia,Western Australia,,,,Sandalford 2001 Riesling (Western Australia),Riesling,Sandalford,#443982
+83964,Australia,"This weighty California lookalike nevertheless comes across as balanced, thanks to a long, mouthwatering finish. Citrus and yellow-plum flavors stand up well to a hefty dose of vanilla and buttered toast.",Estate Reserve,87,20.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Blue Pyrenees 1999 Estate Reserve Chardonnay (Victoria),Chardonnay,Blue Pyrenees,#440154
+83967,Australia,"A pillowy and tropical Chard that doesn't get sloppy soft or overly tart and hard. Toasted marshmallow, pineapple and banana aromas; lightly caramelized pineapple dusted with cinnamon flavors. Finishes with a smoky edge. Best Buy.",Bin 222,87,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Wyndham Estate 2000 Bin 222 Chardonnay (South Eastern Australia),Chardonnay,Wyndham Estate,#440154
+83968,Australia,"Seems almost Burgundian in this crowd, with its aromas of smoke and white peach and flavors of roasted hazelnuts and grilled peaches. Finishes clean and crisp, with tart, lime-like acidity and hints of smoke.",,87,18.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,T'Gallant 2000 Chardonnay (Mornington Peninsula),Chardonnay,T'Gallant,#440154
+83970,Australia,"The aromas are so promising, redolent of toast and pears, butter and nectarines, that expectations are high. And make no mistake—this is very good wine. It's just that a slightly resinous veneer of spicy oak largely dominates the palate and finish.",Heytesbury,87,30.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Vasse Felix 2000 Heytesbury Chardonnay (Western Australia),Chardonnay,Vasse Felix,#440154
+83972,Australia,"There's a distinct hardness to this wine, so that the fruit comes across more as a tough-skinned yellow-plum than as a soft, ripe peach. It's a little stingy on the midpalate, but there are plenty of other things to make up for it. Melon and pineapple flavors add layers of interest, as does the toasty, nutty finish.",Cranes,87,36.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2000 Cranes Chardonnay (Eden Valley),Chardonnay,Henschke,#440154
+83978,Australia,"A richer, yet no better, style than the 2000 Limestone Coast bottling. Peach and vanilla aromas and flavors take the lead, with buttered popcorn and alcoholic warmth playing supporting roles. The finish is long, featuring a slightly bitter note akin to citrus rind.",Reserve,87,29.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Stonehaven 1999 Reserve Chardonnay (Padthaway),Chardonnay,Stonehaven,#440154
+84046,Australia,"Like some of the other 2008s, this wine seems to be evolving rapidly—a common enough occurence in hot vintages. Apple and citrus flavors still dominate, but the wine is already showing hints of honey and toast. Drink it now and over the next 3–5 years.",Springvale,90,38.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Grosset 2008 Springvale Riesling (Clare Valley),Riesling,Grosset,#443982
+84055,Australia,"Representing a good value in top-flight Cabernet, Jim Barry's 2008 The Cover Drive (a cricketing term) features subtle hints of cinnamon, coffee and vanilla layered over blueberry and plum fruit. It's on the full-bodied side, with plush, velvety tannins balanced by crisp acids. Drink now–2018.",The Cover Drive,90,18.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Jim Barry 2008 The Cover Drive Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Jim Barry,#471163
+84178,Australia,"A nicely balanced Chardonnay, marrying subtle buttered apple notes with bolder notes of toasted hazelnut and white peaches. It's got a silky texture and plenty of intensity on the fresh, citrusy finish. Drink now–2012.",,88,25.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cape Mentelle 2006 Chardonnay (Margaret River),Chardonnay,Cape Mentelle,#440154
+84186,Australia,"This is a big, intense wine that just lacks a bit of complexity and nuance. Bold blackberry fruit is framed by vanilla- and coffee-laden oak in this bruiser best suited to partnering a slab of prime porterhouse.",,88,35.43766346992153,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Songlines 2005 Shiraz (McLaren Vale),Shiraz,Songlines,#471669
+84550,Australia,"This is a pretty traditional example of Barossa Shiraz, with oak-derived elements of vanilla, chocolate and a touch of dill backed by bold blackberry and deep cherry fruit. It's round and full on the palate, with a finish that fades easily into dusty notes of espresso and cocoa. Drink now–2020.",Portrait,89,17.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2013 Portrait Shiraz (Barossa),Shiraz,Peter Lehmann,#471669
+84575,Australia,"This wine's full-bodied nature and chunky-blocky texture matches its name. It's dark and brooding in style, with hints of charred meat, asphalt and black olive. Give it some time. Drink 2018–2022.",Titan,89,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Alpha Crucis 2012 Titan Shiraz (McLaren Vale),Shiraz,Alpha Crucis,#471669
+84669,Australia,"Minerally and intense on the nose, this Riesling remains fresh and strident right through the palate and onto the long finish. Apple and citrus flavors seem to carry a hint of sweetness, but it could just be the ripe fruit coming through rather than residual sugar. Drink now.",Iron Knob Single Vineyard,88,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Longview 2006 Iron Knob Single Vineyard Riesling (Adelaide Hills),Riesling,Longview,#443982
+84815,Australia,"The Factor is always one of Torbreck's biggest wines. The 2012 continues that tradition, offering ample weight, richness and texture. Alluring notes of Christmas spices and plum pudding mark the nose, while the flavors continue the dark theme, picking up hints of cola and roasted meat before finishing somewhere between creamy and velvety, spicy and peppery. Drink now–2030.",The Factor,95,125.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Torbreck 2012 The Factor Shiraz (Barossa),Shiraz,Torbreck,#471669
+84816,Australia,"Nashwauk is Kaesler's McLaren Vale project, first released from the 2006 vintage. The 2010 is full bodied, creamy-textured and plush, filled with dark fruit and hints of vanilla, asphalt, maple syrup and mocha. The supple tannins enhance rather than impede the finish, contributing scary length. Drink now–2030.",Beacon,95,145.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Nashwauk 2010 Beacon Shiraz (McLaren Vale),Shiraz,Nashwauk,#471669
+84921,Australia,"Offers up a nice blend of savory and fruity elements, marrying marinated beef and ripe cherries and framing them in vanilla-scented oak. The wine is full-bodied and supple in texture, ending with hints of fine tobacco and silk. Drink now-2015.",,90,21.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse River 2005 Shiraz (Margaret River),Shiraz,Vasse River,#471669
+84925,Australia,"A terrific value, Plantagenet's 2006 Hazard Hill Shiraz is a silky, feminine-styled Shiraz that starts with smoky, slightly floral notes, then adds in peppery spice, delicate red berries and just a hint of chocolate before leaving your mouth watering on the finish. Drink now.",Hazard Hill,90,13.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 2006 Hazard Hill Shiraz (Western Australia),Shiraz,Plantagenet,#471669
+84926,Australia,"Plums, vanilla, toasty oak and a bit of chocolate fudge. The 2007 Angels Share features all of those flavors in a full-bodied, chewy Shiraz. The long, richly textured finish suggests pairing with grilled steak or lamb chops.",Angels Share,90,35.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Two Hands 2007 Angels Share Shiraz (McLaren Vale),Shiraz,Two Hands,#471669
+84931,Australia,"A finely judged blend of fruity and savory, the 2006 Parable marries ripe plums with meaty elements as well as hints of coffee and vanilla. It's round in the mouth and cuddly in texture, finishing with the softness of velvet. Drink it over the next five years.",Parable,90,40.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kilikanoon 2006 Parable Shiraz (McLaren Vale),Shiraz,Kilikanoon,#471669
+84932,Australia,"Although this is fortified, it's not overly so, with the finished alcohol level resting around 18%. The result is a decadently sweet mash-up of brandy-macerated raspberries that turn chocolaty on the finish. Although it lacks the complexity, tannic grip and minerality of the best true Ports, it's a tasty drop nonetheless. Drink now-2025.",The Vintage Fortified,90,40.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The Vintage Fortified Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+84933,Australia,"Tapestry's style is to blend bold fruit with ample oak, and that's the case here, with plum and spice cake notes framed by toast and vanilla. This is a full-bodied, creamy-textured Shiraz, showing some warmth on the persistent, fruit-driven finish. Drink now-2020.",The Vincent,90,55.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Tapestry 2006 The Vincent Shiraz (McLaren Vale),Shiraz,Tapestry,#471669
+84934,Australia,"Hunter Valley Shiraz is somewhat out of fashion here in the U.S., but this is an excellent example of the genre, one that can be taken home and enjoyed tonight. It starts with intense, smoky, pungent leathery aromas, and the fruit is more leathery than fruity in character, yet there's compelling complexity in this medium-bodied, silky-textured wine. Drink now-2015.",The Aunts,90,23.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Meerea Park 2005 The Aunts Shiraz (Hunter Valley),Shiraz,Meerea Park,#471669
+84937,Australia,"Water Wheel wines consistently deliver quality and value. The winery's 2007 Shiraz is made in a decadently supple, drink-now style with enough cocoa and mocha overtones to bring chocolate cake to mind. There's some cedar and spice complexity as well. Drink now-2013.",,90,18.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Water Wheel 2007 Shiraz (Bendigo),Shiraz,Water Wheel,#471669
+85050,Australia,"Tumbarumba is an up-and-coming cool-climate viticulture region, and this Chardonnay is a fine example of why the area is considered to have promise. The wine is medium in body and nicely plump in the mouth, and displays a harmonious blend of apple, pear, citrus and butter flavors and an elegant, lingering finish. Drink now and over the next 1–2 years.",,89,30.0,New South Wales,Tumbarumba,,Joe Czerwinski,@JoeCz,Hungerford Hill 2009 Chardonnay (Tumbarumba),Chardonnay,Hungerford Hill,#440154
+85056,Australia,"Restraint is one of the buzzwords in Australian wine, which might be one reason that for all of this winery's cult status in Australia, it remains relatively unknown in America. This medium-bodied wine's black cherry fruit is definitely restrained, flecked with delicate herbal notes and rounded out by supple tannins. It's well made and well balanced, but lacks sizzle.",,89,125.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Mount Mary 2006 Pinot Noir (Yarra Valley),Pinot Noir,Mount Mary,#414286
+85059,Australia,"In 5–10 years, this rating may look conservative, but right now, this wine's tannins are just too rustic and tough to be certain of its future evolution. It's a massive wine overall, with brambly, briary fruit, tinged with clove, cedar and chocolate, and those drying, astringent tannins on the finish.",Emily's Paddock Shiraz-Cabernet Franc,89,125.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Jasper Hill 2007 Emily's Paddock Shiraz-Cabernet Franc Red (Heathcote),Red Blend,Jasper Hill,#3F4788
+85060,Australia,"Full bodied and supple, this nicely balanced Barossa Shiraz shows that value still exists even in big-name regions of Australia. Intense blueberry and spice aromas give way to mixed berries and vanilla on the palate, and if it's not overly complex, it's a still a concentrated mouthful of Shiraz at a bargain price.",Gamekeeper's,89,13.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,St Hallett 2008 Gamekeeper's Shiraz (Barossa),Shiraz,St Hallett,#471669
+85061,Australia,"This wine's aromas and flavors amount to an inconsistent mix of superripe (chocolate and prune) notes with those that are less so (herbal, tart raspberry) at first, but it does seem to settle down with some time in the glass, becoming more integrated but staying rather crisp on the finish. Drink 2013–2020.",Dry Red Wine No. 2,89,75.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2007 Dry Red Wine No. 2 Red (Yarra Valley),Red Blend,Yarra Yering,#3F4788
+85218,Australia,"This well priced wine offers typical Shiraz aromas and flavors, ranging from cherries to black olives and weaving in some smoky and tarry accents. It's medium-bodied, with a plump feel but also a firmly tannic backbone that would serve it well alongside steak, chops or burgers.",,88,15.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Kiss Chasey 2008 Shiraz (Margaret River),Shiraz,Kiss Chasey,#471669
+85226,Australia,"Dark berries or plums, cedar and spice notes sum up the aromas and flavors you can expect from this Heathcote Shiraz. It's medium to full in body, and while it's not overly lush, neither is it overly lean—making it a balanced drink with moderate complexity. The firm finish suggests cellaring another year or two, or pairing it with grilled or roasted meats.",,88,30.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Tar & Roses 2007 Shiraz (Heathcote),Shiraz,Tar & Roses,#471669
+85270,Australia,"A venture into the deep end of pricing perhaps, but the proof is in the bottle. From vines planted in 1964, this is a rich, full-bodied and creamy-textured wine, with complex notes of smoke, vanilla, plum and roasted meat. Approachable now because of its lushness, it should drink well for at least the next several years.",Warboys Vineyard,93,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2010 Warboys Vineyard Grenache (McLaren Vale),Grenache,Angove,#481C6E
+85275,Australia,"From vines planted in 1893, this is an inky, concentrated Shiraz. The aromas hint at cracked pepper, vanilla and blueberries, while on the palate, this is superripe and full bodied. Although close to being fat and overdone, yet it's held back from the edge by its long, licorice-and-spice finish. Drink now–2020.",Old Bastard,93,230.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kaesler 2010 Old Bastard Shiraz (Barossa Valley),Shiraz,Kaesler,#471669
+85276,Australia,"These 100-plus-year-old vines were transplanted to another site, but continue to yield outstanding wines. Intriguing aromas of fruit compote and roasted meat lead into a palate of blueberry and spice. It's medium to full in body, with supple tannins that finish on a faintly dusty note. Ready to drink now, but should hold at least through 2020.",Orphan Bank,93,57.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2010 Orphan Bank Shiraz (Barossa),Shiraz,Langmeil,#471669
+85279,Australia,"Because St. Henri is aged exclusively in large, mostly neutral oak vessels, it often requires more time to come around than Shiraz aged in barrel. The 2009 is tight and reticent on the nose, while showing hints of boysenberry, black olive and roasted meat on the palate. Full bodied, rich and firm in structure, with a long, amply textured finish, it needs a few years in the cellar, and should last at least through 2030.",St. Henri,93,99.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2009 St. Henri Shiraz (South Australia),Shiraz,Penfolds,#471669
+85337,Australia,"De Bortoli's Noble One is as good as ever in 2007, offering intense botrytis, dried apricots, honey and bergamot in a sweetly unctuous style. Think of a Sauternes, but with more sugar and less alcohol. It should age well for 10 or more years.",Noble One Bortytis,94,32.0,New South Wales,New South Wales,,Joe Czerwinski,@JoeCz,De Bortoli 2007 Noble One Bortytis Semillon (New South Wales),Sémillon,De Bortoli,#2C728E
+85354,Australia,"Unusual for Oz, in that the primary variety in the blend is Cabernet Franc (74%), with lesser amounts of Merlot (15%) and Cabernet Sauvignon (11%). The result is a fragrant, slightly herbal wine with plenty of red cherry fruit balanced out by vanilla and chocolate notes. It's lighter in body than most Ozzie Cabs, with silky tannins on the finish. Drink now–2012. Imported by Margaret River Wines, LLC.",Ornatus,87,38.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Merops 2005 Ornatus Red (Margaret River),Bordeaux-style Red Blend,Merops,#1F938B
+85365,Australia,"Marlargo's wide range of wines includes this big-boned, rather chewy offering from Heathcote. Mint, chocolate and cassis flavors are pretty standard fare, but well executed, with a dusting of dry tannins on the finish. Drink now–2016.",,87,20.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Marlargo 2006 Cabernet Sauvignon (Heathcote),Cabernet Sauvignon,Marlargo,#471163
+85443,Australia,"It's full-bodied and a little warm (14% alcohol), but this also boasts baked apple and citrus fruit and restrained, pencilly, toasty oak. It's lush and mouthfilling without being overblown; rich without being exotic—a well made New World Chard.",Presidents Selection,88,14.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wolf Blass 2005 Presidents Selection Chardonnay (South Australia),Chardonnay,Wolf Blass,#440154
+85742,Australia,"This is a toasty oaky version of Pinot Noir, loaded with cedar, vanilla and wood-derived tannins. Yet there's enough cherry fruit to provide ample support, and delicate herbal shadings peer through on the bright, concentrated finish. Drink now through 2020.",,89,17.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Wakefield 2014 Pinot Noir (Adelaide Hills),Pinot Noir,Wakefield,#414286
+85802,Australia,"A McLaren Vale standard bearer, the 2010 Hillside is a complex, beguiling example of Shiraz. Toast and vanilla notes frame hints of raspberries, herbs and espresso on the nose, while the flavors add olive-tinged elements. Despite showing ample weight, this isn't the biggest wine, just one that shows impressive harmony and length. Drink now through at least 2025.",Hillside Amery Vineyard,93,60.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kay Brothers 2010 Hillside Amery Vineyard Shiraz (McLaren Vale),Shiraz,Kay Brothers,#471669
+85803,Australia,"This wine is an excellent value in the world of big, rich Shiraz. While the vanilla and boysenberry aromas seem simple at first, the bouquet and flavors develop impressively with time in the glass, adding hints of roasted meat, mocha and black olive. It's full bodied and rich in texture, with a long, mouth-coating finish. Drink now–2025.",Grey Label,93,38.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wolf Blass 2010 Grey Label Shiraz (McLaren Vale),Shiraz,Wolf Blass,#471669
+85859,Australia,"This wine handles its elevated alcohol level (labeled at 16.5%) well, with masses of slightly jammy fruit and a creamy, lush mouthfeel. Hints of baking spices and leather add complexity and persist through the long finish. It'd be fun to throw this in a blind tasting with some of California's top Zins.",,90,32.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Hentley Farm 2007 Zinfandel (Barossa Valley),Zinfandel,Hentley Farm,#A2DA37
+85937,Australia,"The French oak is prominent in this classic blend, but it's more or less balanced by ripe red fruit, sweet spice and hints of chocolate and smoke. The palate is medium to full bodied, red fruited, and finishes with charred, smokey flavors that last long. Drink now–2022.",Killerman's Run Grenache-Shiraz-Mataro,88,20.0,South Australia,Clare Valley,,,,Kilikanoon 2015 Killerman's Run Grenache-Shiraz-Mataro Red (Clare Valley),Red Blend,Kilikanoon,#3F4788
+86007,Australia,"From a relatively cool growing region near Canberra, this shows its origins in its smoke, herb and green-peppercorn aromas. Cherry fruit grounds the palate, which offers a smooth feel and medium body. The slightly herbal note lingers on the finish.",The Long Road,88,25.0,New South Wales,Gundagai,,Joe Czerwinski,@JoeCz,Eden Road 2010 The Long Road Shiraz (Gundagai),Shiraz,Eden Road,#471669
+86096,Australia,"This unlikely blend of 87% Shiraz and 13% Petit Verdot hits the right notes for a bargain sipper, boasting plenty of weight and an interesting juxtaposition of raspberry fruit with dark chocolate. Earthy notes provide depth, and the finish is surprisingly silky for a wine in this price range. Drink now.",Fingers Crossed Red,89,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Marlargo 2006 Fingers Crossed Red Red (South Australia),Red Blend,Marlargo,#3F4788
+86241,Australia,"From 40-year-old vines in the Geelong GI, this is a huge step up in quality from the winery's Jindalee label. Nutty aromas of toasted cereal grain and grilled peaches set the table for this full-bodied, lushly textured Chardonnay. It's rich and ripe, yet reasonably balanced by acid, finishing long and ever so slightly warm. Drink now.",Idyll Vineyard,91,30.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Littore 2005 Idyll Vineyard Chardonnay (South Eastern Australia),Chardonnay,Littore,#440154
+86243,Australia,"Despite being a 2004 vintage wine, this top-shelf Chardonnay from Penfolds is still embryonic in its development, shrouded in some smoky, tarry, coffee-like aromas that call for brisk decanting. Underneath, you'll find richly textured layers of ripe, honeyed fruit and grilled peaches, ending with lingering notes of citrus. Drink now–2015.",Yattarna,91,66.0,South Australia,Henty,,Joe Czerwinski,@JoeCz,Penfolds 2004 Yattarna Chardonnay (Henty),Chardonnay,Penfolds,#440154
+86348,Australia,"For such a young wine, this seems surprisingly developed—or maybe it's just riper than usual. It may lack in bracing lemon-lime department, but hints of apple blossoms and tropical fruit turn spicy and a bit apricot-like on the long finish.",Individual Vineyard Selection Dry,89,17.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Pewsey Vale 2014 Individual Vineyard Selection Dry Riesling (Eden Valley),Riesling,Pewsey Vale,#443982
+86423,Australia,"This South Australia Viognier comes across as restrained on the nose, offering up little more than some vaguely smoky or flinty notes, then delivers melon, pear and spice notes via a full-bodied, slightly oily-textured palate. Turns crisp and citrusy on the finish.",Lady of the Lake Single Site,85,14.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Zonte's Footstep 2009 Lady of the Lake Single Site Viognier (Langhorne Creek),Viognier,Zonte's Footstep,#45347F
+86427,Australia,"A Rhône-inspired blend of Marsanne (40%), Roussanne (37%) and Viognier (23%), this comes across as rather broad in the mouth, but lacking depth and length. Melon, pear and almond notes make a favorable impression, and the wine finishes fresh, if somewhat simple.",The Freckle,85,14.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,Shoofly 2008 The Freckle White (Adelaide),Rhône-style White Blend,Shoofly,#4FC369
+86583,Australia,"Light and frothy, with perfumed notes of tangerine, spice and a mere hint of strawberry. Falls off a bit on the finish, but still represents a good value in dessert-style bubbles.",DB Family Selection Pink,85,9.0,New South Wales,New South Wales,,Joe Czerwinski,@JoeCz,De Bortoli 2011 DB Family Selection Pink Moscato (New South Wales),Moscato,De Bortoli,#2F6A8D
+86779,Australia,"One of Tasmania's most notable wine personalities, Andrew Pirie, is behind this wine, which aims to compete with prestige cuvée Champagnes. Forty percent of the base wine is barrel-fermented, imparting a rich, cashew character that's augmented by two years of aging on lees. It's a complex, medium-bodied wine that's a departure from most New World sparklers.",Deluxe Vintage Brut,92,80.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Apogee 2012 Deluxe Vintage Brut Sparkling (Tasmania),Sparkling Blend,Apogee,#38578C
+86880,Australia,"A zesty, citrus-accented wine that features aromas and flavors of lemons and limes, piecrust and minty herbs. Finishes clean and refreshing—a racy wine that nevertheless isn't lightweight.",Premium,87,13.0,New South Wales,Mudgee,,Joe Czerwinski,@JoeCz,Andrew Harris 1999 Premium Chardonnay (Mudgee),Chardonnay,Andrew Harris,#440154
+86884,Australia,"Understated and less ripe than many Australian Chardonnays, which makes for a nice change of pace when tasting, but also a leaner, more austere style dominated by citrus flavors. This atypical Aussie Chard could even be paired with shellfish.",Old Winery - Hunter Valley/McLaren Vale,87,14.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Tyrrell's 2001 Old Winery - Hunter Valley/McLaren Vale Chardonnay (Hunter Valley),Chardonnay,Tyrrell's,#440154
+86885,Australia,"New oak and ripe fruit blend together to yield complex aromas of baked apples and pears, complete with a pat of melted butter and a dash of cinnamon. Finishes clean, not cloying, with a distinct Granny Smith flavor.",Tintara,87,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Hardys 2000 Tintara Chardonnay (South Australia),Chardonnay,Hardys,#440154
+86886,Australia,"Starts off with understated aromas of buttered whole-grain toast, pineapple and tropical that gradually build in intensity, finishing with a blast of toasty American oak, vanilla and spice. It's slightly unpolished, but flavorful and full of character.",,87,10.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Hope Estate 2000 Chardonnay (Hunter Valley),Chardonnay,Hope Estate,#440154
+86888,Australia,"A boldly flavored wine that doesn't hold back, packed with sweet pears, powdered cinnamon and clove. Smooth and supple in the mouth and leaves tangy, lingering flavors of lime on the finish.",,87,12.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Margan 2000 Chardonnay (Hunter Valley),Chardonnay,Margan,#440154
+86890,Australia,"Standard stuff, done right. Smoke and toast aromas add nuance to scents of citrus and peach. Hints of vanilla and baking spices buttress apple and pear flavors. The wine finishes with fresh, lemony notes. This is textbook Chardonnay.",Thomas Hyland,87,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Penfolds 2001 Thomas Hyland Chardonnay (Adelaide Hills),Chardonnay,Penfolds,#440154
+86891,Australia,"Musky spiced pear and melon aromas lead off, backed up by lush ripe pear and melon flavors. Finishes with a tasty blend of tart pineapple and peppery, clove-like spice.",,87,12.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Ross Estate 2001 Chardonnay (Barossa Valley),Chardonnay,Ross Estate,#440154
+86892,Australia,"Features a complex nose of green apples, pears and pineapples, accented by smoky notes. The flavors are similar, folding in more vanilla and toast nuances—the oak in this wine seems to build toward the finish, while the fruit does the reverse, turning fainter and more citrusy.",,87,16.0,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Stonehaven 2000 Chardonnay (Limestone Coast),Chardonnay,Stonehaven,#440154
+86893,Australia,"This wine from Kendall-Jackson's Australian outpost offers aromas of butter, clove and tropical and citrus fruits. Dried spice flavors accent soft peach andvanilla, finishing with a touch of tangerine. Best Buy.",,87,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yangarra Park 2000 Chardonnay (South Eastern Australia),Chardonnay,Yangarra Park,#440154
+86895,Australia,"A smooth, easy-to-drink wine made to the New World formula: Sweet caramel, vanilla and peach aromas and flavors, capped off by spicy oak on the finish.",Zoes,86,15.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Nepenthe 2000 Zoes Chardonnay (Adelaide Hills),Chardonnay,Nepenthe,#440154
+86896,Australia,"Filled with bouncy aromas of melon, pear and tropical fruit, this lightweight charmer even blends in notes of butter and anise on the finish. It's a fun wine with the accent on fruit. Best Buy.",Black Label,86,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,McGuigan 2000 Black Label Chardonnay (South Eastern Australia),Chardonnay,McGuigan,#440154
+86906,Australia,"Sure it's oaky, but it's good oak, contributing complex aromas of burnt sugar, smoke and bacon fat to an otherwise straightforward peach-and-pear-flavored Chardonnay. The disparate elements converge in a harmonious finish that invites you back for another sip.",James Paddock,88,15.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Bellarine Estate 2000 James Paddock Chardonnay (South Eastern Australia),Chardonnay,Bellarine Estate,#440154
+86907,Australia,"Starts off with a big blast of black-cherry and blackberry fruit that continues on the palate, picking up leather and vanilla nuances. It's full and flavorful, soft without being flabby—just what the doctor ordered for everyday drinking.",,88,14.0,Western Australia,Western Australia,,,,Element 2001 Shiraz-Cabernet Sauvignon (Western Australia),Shiraz-Cabernet Sauvignon,Element,#460B5E
+86911,Australia,"A full, rich, woody style that emphasizes toast, vanilla and butter. Imagine sliced peaches doused in melted butter and sprinkled with cinnamon-sugar. Finishes thick and oily.",,88,21.0,Western Australia,Western Australia,,,,Sandalford 2001 Chardonnay (Western Australia),Chardonnay,Sandalford,#440154
+86912,Australia,"These grapes are sourced from the relatively cooler region of Orange, and it shows in the wine's pear and citrus flavors. Hints of nuts (cashews, perhaps?) add complexity and style not often found in this price range. Crisp and clean on the finish, with refreshing citrus notes.",,88,10.0,New South Wales,New South Wales,,Joe Czerwinski,@JoeCz,Reynolds 2001 Chardonnay (New South Wales),Chardonnay,Reynolds,#440154
+86925,Australia,"This wine is packed with bright tropical fruit and citrus aromas and flavors, yet stays balanced and spritely through the long, citrusy finish. It's easy to like and easy to drink.",,87,16.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Mak 2001 Chardonnay (Adelaide Hills),Chardonnay,Mak,#440154
+86926,Australia,"Toasty and oaky, but in a warm and lovable way, all underpinned by lean citrusy fruit that helps maintain a sense of balance and proportion. There's even a bit of crème brûlée thrown into the mix. Finishes smoothly, with nary a rough edge. Best Buy.",Murray-Darling,87,7.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,McPherson Wine Company 2000 Murray-Darling Chardonnay (Australia),Chardonnay,McPherson Wine Company,#440154
+86927,Australia,"With its high-toned, herbal and toasty style that sets it apart from the crowd, this distinctive Chardonnay may not be to everyone's taste. Shows lots of oak and powdered dry spices on the finish to accent the custardy-lemony fruit. Should age well and might surprise you in five years.",,87,45.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Killerby 2000 Chardonnay (Western Australia),Chardonnay,Killerby,#440154
+86938,Australia,"This wine boasts a heavy wooden overlay, but the final result is a full-bodied, lushly textured Shiraz powered by caramel, vanilla, leather, cedar and baking spices. There's sufficient length and tannin on the finish to think it might even improve over the next 10 years or so.",,90,25.0,Victoria,Pyrenees,,Joe Czerwinski,@JoeCz,Syan 2005 Shiraz (Pyrenees),Shiraz,Syan,#471669
+86943,Australia,"Water Wheel's 2005 Shiraz is a full-bodied, creamy-textured effort filled with the scents and flavors of dark plums, vanilla and coffee. It's delicious now, but should evolve through 2020, thanks to its concentrated fruit and ample tannins.",,90,17.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Water Wheel 2005 Shiraz (Bendigo),Shiraz,Water Wheel,#471669
+86945,Australia,"Featuring tobacco, cassis and lesser quantities of mint and cocoa, d'Arenberg's The High Trellis Cabernet is a full-bodied wine that offers plenty of flavor interest and depth at a reasonable price. It does show some slightly chewy, dusty tannins on the finish, but the fruit ultimately wins through, suggesting it will be at its best from 2010–2020.",The High Trellis,90,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The High Trellis Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,D'Arenberg,#471163
+86952,Australia,"This is a little slow out of the gate, starting off with some rather cabbage-like aromas. Over time, the odors evolve toward smoke and ash, and, finally, into a complex, cedary aroma. The flavors of this medium-bodied blend (80% Cabernet Sauvignon, 10% Malbec, 8% Merlot, 2% Petit Verdot) feature blackberry and cassis, but also fold in hints of smoked meat and vanilla before finishing crisp and long. This really evolves and improves in the glass, suggesting 10-plus years of potential longevity.",Dry Red Wine No. 1,90,85.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2005 Dry Red Wine No. 1 Red (Yarra Valley),Bordeaux-style Red Blend,Yarra Yering,#1F938B
+87001,Australia,"The Hunter's almost tropical climate shows in this wine's aromas and flavors of roasted cashews, grilled peaches and superripe tangerines. It's medium in body heading towards full, but silky in feel and with mouthwatering grilled notes on the finish. Drink now.",Mountain Wash,89,14.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Hope Estate 2014 Mountain Wash Chardonnay (Hunter Valley),Chardonnay,Hope Estate,#440154
+87128,Australia,"This full-bodied, muscular Shiraz is built for the ages. Baking spices and plummy fruit form a concentrated, nearly impenetrable wall on the nose, while the palate is nearly dense enough to stand a fork in. Despite all that, it's not overly heavy or fudge-like, instead offering tremendous poise, purity and length. Drink 2020–2030, and likely then some.",Amery Vineyard Block 6,96,120.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kay Brothers 2012 Amery Vineyard Block 6 Shiraz (McLaren Vale),Shiraz,Kay Brothers,#471669
+87137,Australia,"Perhaps the best young wine I've tasted from Margaret River, this makes a compelling case for the region's Cabernet. Pure cassis fruit is lifted and framed by hints of toasted cedar, making for soaring aromatics and flavors, but what sets this wine apart is the tender, silky texture married to ample weight and richness. The finish lingers, with a supple, dreamy character that speaks to a gentle climate and careful winemaking. Drink now–2030.",,95,84.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Moss Wood 2011 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Moss Wood,#471163
+87143,Australia,"This is wonderfully complex and aromatic, with scents ranging from baking spices and savory beef to mixed berries. That swirl of seeming contradictions continues on the palate, backed by luxurious, supple tannins that linger softly on the finish. Drink now–2025.",St. Andrews Single Vineyard Release,95,60.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2012 St. Andrews Single Vineyard Release Shiraz (Clare Valley),Shiraz,Wakefield,#471669
+87186,Australia,"This is a simple, cherry-dominated fruity quaff at a realistic price. It's only light to medium in body, with crisp acids and a bit of tannic astringency on the finish.",The Long Paddock,83,10.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Redbank 2007 The Long Paddock Shiraz (Victoria),Shiraz,Redbank,#471669
+87333,Australia,"This is plump, custardy, leesy wine, with ample texture to support the flavors of toasted marshmallow, melon and citrus. It's plush and round on the lingering finish. Drink now–2018.",Finisterre,91,30.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2014 Finisterre Chardonnay (Margaret River),Chardonnay,Robert Oatley,#440154
+87334,Australia,"At the suggested retail price, this constitutes a fine value. It's rich and full in body, but balanced, with “tangerine dream” notes of ripe citrus backed by hints of peach and vanilla. Plush and mouthwatering on the finish, it should drink well through at least 2018.",,91,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2015 Chardonnay (Margaret River),Chardonnay,Robert Oatley,#440154
+87356,Australia,"Lightweight and pleasant, this has modest cherry fruit and some earthy notes. It finishes well, with silky, tea-like nuances.",,86,35.43766346992153,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Mount Mary 2010 Pinot Noir (Yarra Valley),Pinot Noir,Mount Mary,#414286
+87371,Australia,"Light to medium in body, this is a silky-textured Pinot that shows some understated cherry fruit and a fair bit of mushrooms and decaying leaves. Mocha and cinnamon mark the finish.",,85,17.0,Victoria,Geelong,,Joe Czerwinski,@JoeCz,Sibling Rivalry 2010 Pinot Noir (Geelong),Pinot Noir,Sibling Rivalry,#414286
+87405,Australia,"Selected from four sites planted 40–60 years ago, this is a full-bodied, muscular, rich Shiraz. Roast beef notes provide savory counterpoints to ripe plum, chocolate and mint. Long, firm and focused on the finish, where it picks up some mocha nuances. Drink now–2030.",The Medhyk Old Vine,94,95.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2013 The Medhyk Old Vine Shiraz (McLaren Vale),Shiraz,Angove,#471669
+87414,Australia,"As Australian vineyards go, this isn't that old, having been planted in 1971. Chocolate and vanilla shadings frame bowls of mixed berries in this full-bodied, powerful wine. It finishes long and intense, outlined by dusty tannins.",Brooks Road,94,75.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hickinbotham 2013 Brooks Road Shiraz (McLaren Vale),Shiraz,Hickinbotham,#471669
+87478,Australia,"Fully mature, Jacob's Creek 2005 Shiraz-Cabernet features savory overtones to its sour plum and coffee bean flavors. It's medium-bodied and pleasantly round in the mouth, with balanced fruit, acid and alcohol levels and decent length on the finish.",,85,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2005 Shiraz-Cabernet Sauvignon (South Eastern Australia),Shiraz-Cabernet Sauvignon,Jacob's Creek,#460B5E
+87482,Australia,"Comes off as a slightly skinny Pinot Noir, with herbal overtones to the cherry and strawberry flavors. Still, it's varietally true, and light enough in body to pair effectively with chicken or salmon. Drink now.",,85,17.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Sticks 2005 Pinot Noir (Yarra Valley),Pinot Noir,Sticks,#414286
+87567,Australia,"This fruit-driven wine doesn't show the complexity of much lees aging, but satisfies with its clean, refreshing flavors of pineapple, peach and melon. It's light in body and nearly dry.",Lois Blanc de Blancs,85,20.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,The Lane NV Lois Blanc de Blancs  (Adelaide Hills),Champagne Blend,The Lane,#30678D
+87620,Australia,"This is a terrifically full-bodied, lush Shiraz that nevertheless retains a sense of balance and freshness. Vaguely minty, herbal notes make a brief appearance, then give way to raspberry and blueberry fruit. Savory  hints creep in on the palate, further increasing its appeal. This blend of fruit from the Barossa and Eden valleys should drink well through at least 2020.",The Struie,94,50.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Torbreck 2010 The Struie Shiraz (Barossa),Shiraz,Torbreck,#471669
+87623,Australia,"With only 10 cases imported to the U.S., one suspects that this terrific wine will largely be found in exclusive restaurants. If you can find a bottle at a reasonable markup, jump on it, for this is one of Victoria's finest Shirazes. Hickory smoke, espresso and herbal notes accent raspberry fruit, whose brightness gives the wine extra lift and dimension. It's creamy and lushly textured without ever seeming heavy, and boasts a long, silky finish that echoes with suggestions of cocoa powder and pulverized coffee beans. Drink now–2025.",Warner Vineyard,94,100.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Giaconda 2008 Warner Vineyard Shiraz (Victoria),Shiraz,Giaconda,#471669
+87684,Australia,"For such a competitively priced offering, this delivers a lot of complexity. Dried herbs, anise, chocolate and coffee notes add nuance to the raspberry fruit. It's medium bodied and supple, with a lush, lingering finish. Drink now–2020.",,88,9.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2014 Shiraz (South Australia),Shiraz,Oxford Landing,#471669
+87768,Australia,"Light, off-dry and refreshing, this would make an ideal poolside sipper. Hints of damp moss and fern add complexity to green apple and citrus flavors. Drink now.",Prickly,88,11.0,Victoria,Alpine Valleys,,Joe Czerwinski,@JoeCz,Frisk 2014 Prickly Riesling (Alpine Valleys),Riesling,Frisk,#443982
+88042,Australia,"The tangy grapefruit, lemon and pear notes on the nose carry over nicely to the palate. Subtle underlying tropical fruit adds dimension, the mouthfeel has a creamy texture (from the Sémillon), and it finishes dry and clean.",,85,8.0,South Australia,Barossa Valley,,,,Jacob's Creek 2000 Semillon-Chardonnay (Barossa Valley),Semillon-Chardonnay,Jacob's Creek,#BFDF24
+88063,Australia,"Firmly tannic, this is the rare example of a lower-priced wine that deserves some time in the cellar. There's a sense of coolness and restraint to this wine at first. Hints of menthol lift scents of mixed berries, then develop on the palate into sturdy, chewy fruit flavors and mocha. Drink 2018–2030.",Shotfire,90,23.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Thorn Clarke 2013 Shotfire Cabernet Sauvignon-Shiraz (Barossa),Cabernet Sauvignon-Shiraz,Thorn Clarke,#208F8C
+88159,Australia,"On the nose, this wine shows typical Chardonnay aromas of peach, melon and citrus, all augmented by toast and vanilla from barrel aging. But on the palate, it displays a tight, rather lean framework; there's more citrus than stone fruit, finishing crisp rather than particularly rich or nuanced.",,86,18.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2006 Chardonnay (Yarra Valley),Chardonnay,Yering Station,#440154
+88318,Australia,"Located in the upper Yarra, this site normally yields Pinots higher in acid and tighter in structure than the Sexton Vineyard. The 2013 marries fruity and savory elements of cherries and mushrooms in a medium-bodied, silky package. It's bright and generous from the bold start to the lengthy finish. Drink now–2023.",Applejack Vineyard,90,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2013 Applejack Vineyard Pinot Noir (Yarra Valley),Pinot Noir,Giant Steps,#414286
+88319,Australia,"To judge by the aromas—a complex herbal mélange containing hints of cabbage leaf, tea and acacia blossom—this includes a healthy proportion of stems. On the palate, the black cherry and plum fruit asserts itself, while the texture is crisp and silky, lingering through the finish. Drink now–2025.",Applejack Vineyard,90,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2014 Applejack Vineyard Pinot Noir (Yarra Valley),Pinot Noir,Giant Steps,#414286
+88374,Australia,"Classically styled Barossa Cabernet, with plenty of weight and texture, its rich chocolate and cassis aromas and flavors backed by just a touch of mint. Finishes long, with velvety tannins that should begin to settle by 2010 and keep it evolving through 2020.",Mentor,91,38.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2004 Mentor Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Peter Lehmann,#471163
+88386,Australia,"This mouthfilling red features lashings of oak, but the bountiful blackberry and blueberry fruit still shines, framed by notes of maple syrup and vanilla. The finish delivers a powerful finale of tannin, but the bold fruit powers through. Drink now–2015.",Bin 61,91,24.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Leasingham 2005 Bin 61 Shiraz (Clare Valley),Shiraz,Leasingham,#471669
+88491,Australia,"A bit fuller-bodied compared to most Australian Sauvignons, but the lime and herbal-grassy notes remain refreshing on the finish. Melon and fig flavors plump up the midpalate.",Lu Lu,88,15.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Hewitson 2014 Lu Lu Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Hewitson,#482172
+88504,Australia,"This blend of 79% Sauvignon Blanc and 21% Semillon is pungent and sweaty, with an almost Collio-like pungency. It's a bold, in-your-face passion-fruit monster that fades quickly on the finish.",Miamup,88,23.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Howard Park 2015 Miamup Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Howard Park,#3C4E8A
+88509,Australia,"This McLaren Vale-based winery reaches into the neighboring Adelaide Hills for its Chardonnay. This is subtly oaky, hinting at toast and butter, then pulling back to reveal understated apple and citrus flavors that are clean and refreshing on the finish.",,88,25.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Kangarilla Road 2015 Chardonnay (Adelaide Hills),Chardonnay,Kangarilla Road,#440154
+88562,Australia,"This crisp, citrusy Chardonnay is zesty and refreshing. It avoids any sense of heaviness, finishing on a tart, lemony note.",,85,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Salena Estate 2011 Chardonnay (South Eastern Australia),Chardonnay,Salena Estate,#440154
+88670,Australia,"This may be a touch more elegant than the 2012, but otherwise, it's remarkably consistent. It's medium bodied, with supple tannins framing cherry fruit underlain by hints of beetroot and ground spices—clove, nutmeg and cinnamon. Drink now–2024.",Pipers River,91,35.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Dalrymple 2013 Pipers River Pinot Noir (Tasmania),Pinot Noir,Dalrymple,#414286
+88757,Australia,"From a producer better known for its red wines, this is a notable white—although there is a slight coppery tinge to the wine's hue. Melon and herbal notes are true to the variety, as is the broad mouthfeel and faint tactile dustiness on the finish. Drink now.",Mount Crawford Estate Grown Single Vineyard,87,14.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Thorn Clarke 2010 Mount Crawford Estate Grown Single Vineyard Pinot Grigio (Eden Valley),Pinot Grigio,Thorn Clarke,#423D84
+88772,Australia,"Hyperperfumed, with billowing floral notes, raspberries and citrus that provide immediate impact. The sweet, fruity flavors are adequately balanced by bubbly froth, making for an easy-to-drink quaff. The gentle pink color is even reminiscent of summertime sunsets. Drink now.",,87,14.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Innocent Bystander 2010 Moscato (Victoria),Moscato,Innocent Bystander,#2F6A8D
+88774,Australia,"Fairly full-bodied and lush, with berry fruit flavors balanced by darker notes of chocolate and coffee. The tannins are soft, making this wine immediately accessible.",Black St. Peters,87,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kangarilla Road 2008 Black St. Peters Zinfandel (McLaren Vale),Zinfandel,Kangarilla Road,#A2DA37
+88778,Australia,"Predominantly Grenache, with smaller amounts of Shiraz and Mourvèdre, but the aromas reflect the Mourvèdre's tendency toward dark fruit and tree bark. The flavors show some redder fruit flavors—raspberries—as well as touches of caramel and rhubarb, and this slightly syrupy wine finishes with a tangy edge. It's a little eccentric in style and flavor profile, but savory and tasty in its own way—and a relative bargain.",Artisan Wines Classic,86,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Marquee 2006 Artisan Wines Classic G-S-M (South Eastern Australia),G-S-M,Marquee,#26818E
+88786,Australia,"On the meaty, gamy, savory side of things, with fruit flavors of tart blackberries to bolster hints of coffee and roasted meat. It's full-bodied, then turns crisp, lacking texture on the finish.",Shiraz-Grenache-Mourvèdre,86,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Gilligan 2005 Shiraz-Grenache-Mourvèdre G-S-M (McLaren Vale),G-S-M,Gilligan,#26818E
+88788,Australia,"Ripe and Grenache-heavy, to judge by the black cherry and chocolate aromas and flavors. It's medium-bodied, with a tart finish that provides a refreshing counterpoint to the ripe fruit. Imported by Trinchero Vineyards.",Nine Vines Rosé,85,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Angove's 2007 Nine Vines Rosé Grenache-Shiraz (South Australia),Grenache-Shiraz,Angove's,#35B778
+88840,Australia,"Grassy and slightly pungent, showing the distinct aromas of underripe Muscat, but the delicate texture—it's lightly sparkling—and sweet flavors win out on the palate, balanced by a fresh, citrusy finish.",,84,9.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Deakin Estate 2008 Moscato (Victoria),Moscato,Deakin Estate,#2F6A8D
+88844,Australia,"Slightly grassy and pungent on the nose, but this sweet, fizzy Muscat turns more charming on the palate, where hints of pineapple and underripe citrus help to balance out the considerable sugar. Finishes fresh and soft at the same time. Drink now.",Sparkling Kosher,84,15.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Teal Lake 2008 Sparkling Kosher Muscat (South Eastern Australia),Muscat,Teal Lake,#472676
+88973,Australia,"Ripe strawberry and vanilla lead on the nose followed by a light-weight, juicy and easy-going palate. A sandy texture and slightly savory finish make this a crowd-pleasing wine.",The Vagabond,88,36.0,South Australia,McLaren Vale,,,,Thistledown 2015 The Vagabond Grenache (McLaren Vale),Grenache,Thistledown,#481C6E
+89184,Australia,"This is 68% Shiraz, 32% Grenache. Compared to the straight Shiraz, this is spicier, showing more leather, clove and pepper. It's still a full-bodied, rich wine, but maybe a bit less plush, with brighter acids.",Warboys Vineyard,92,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2013 Warboys Vineyard Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,Angove,#2D6E8E
+89263,Australia,"Like many Mornington producers, Kooyong has a relatively short track record (founded 1996). For much of that time, winemaking was under the guidance of Sandro Mosele, including this stunning 2012. It shows Burgundian levels of complexity in its array of smoke, leather, root vegetable and black cherry notes, then backs that all up with a firm-yet-supple texture and tremendous length. Drink now through 2022.",Estate,93,55.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Kooyong 2012 Estate Pinot Noir (Mornington Peninsula),Pinot Noir,Kooyong,#414286
+89365,Australia,"Supple at first, with brown sugar and prune flavors that seem sweetly ripe, but this full-bodied wine firms up substantially on the finish, where it turns a bit leathery in flavor and coffee-astringent. Drink now, before the fruit fades.",,87,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2008 Shiraz (Clare Valley),Shiraz,Wakefield,#471669
+89368,Australia,"Solid, workmanlike Shiraz, offering a mélange of caramelized berries, tobacco and cassis. Seems warm but at the same time slightly austere, making it a good candidate to partner grilled steak. Drink now.",,87,20.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Morambro Creek 2008 Shiraz (Padthaway),Shiraz,Morambro Creek,#471669
+89375,Australia,"Fresh and lively, with bright berry fruit accented by hints of chocolate and cedar. This is a medium-bodied, elegantly proportioned Shiraz, with a smooth mouthfeel and a crisp, tart-berry finish. Drink now–2015.",,87,19.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2006 Shiraz (Nagambie Lakes),Shiraz,Tahbilk,#471669
+89442,Australia,"Truth be told, the difference in quality between this wine and the $125 Graveyard Vineyard bottling doesn't appear that great, so savvy consumers should jump on this Shiraz, which offers leather, coffee and roasted meat complexity allied to medium body, a creamy texture and a long, firmly structured finish. Drink 2015-2025.",,90,36.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2007 Shiraz (Hunter Valley),Shiraz,Brokenwood,#471669
+89446,Australia,"Like most Tapestry offerings, this wine shows plenty of cedary and cinnamon-like oak, but the soft plum and blackberry fruit serve to provide balance. It's full and creamy-textured in the mouth, then finishes with some warmth and a burst of tart acidity for balance. Drink now-2017.",,90,27.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Tapestry 2007 Shiraz (McLaren Vale),Shiraz,Tapestry,#471669
+89448,Australia,"Not a typically fruit-driven Shiraz, Longview's 2007 Yakka boasts pungent scents of smoke, leather and marinated beef, then delivers earthy, meaty flavors. It's full in the mouth, with a creamy texture that turns chewier on the finish—perfect alongside rare beef or lamb. Drink now-2018.",Yakka,90,25.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Longview 2007 Yakka Shiraz (Adelaide Hills),Shiraz,Longview,#471669
+89449,Australia,"Roasted meat, floral notes, peppery spice...sounds rather nice. Add in silky tannins, hints of coffee and blueberry and a long finish, and you have a pretty wine at a realistic price. Drink now-2014.",,90,18.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2006 Shiraz (Western Australia),Shiraz,West Cape Howe,#471669
+89453,Australia,"Starts off dark and a bit brooding, with aromas of plum, espresso and black olive, but shows hints of brighter fruit elements on the palate. Mouthfilling but dry on the finish, this is still very young; decant if serving now, or try 2013-2020.",The Laughing Magpie,90,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Laughing Magpie Shiraz-Viognier (McLaren Vale),Shiraz-Viognier,D'Arenberg,#462F7C
+89491,Australia,"This lightweight, silky-textured wine features scents of strawberries, tomatoes and campfire smoke. Those same elements appear on the palate, ending without much tannin. Drink up.",,86,20.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Innocent Bystander 2012 Pinot Noir (Yarra Valley),Pinot Noir,Innocent Bystander,#414286
+89519,Australia,"This wine has an uncertain future, hence the less-than-enthusiastic rating. On first opening, it's mute on the nose and simply earthy and dull on the palate, with a dry, dusty finish. Later on, it opened up some and showed some nice aged fruit as well, then shut down again. —J.C.",The Barkly,84,30.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Campbells 1993 The Barkly Durif (Rutherglen),Durif,Campbells,#CAE01E
+89526,Australia,"With its restrained fruit, this wine is more food accompaniment than stand-alone quaff. The smoky, weedy aromas and flavors positively demand a juicy burger to bring out the underlying cassis and tobacco. —J.C.",,84,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 1999 Shiraz (South Eastern Australia),Shiraz,Jacob's Creek,#471669
+89531,Australia,"Seems slightly hollow, and finishes with some coarse oak, but the fruit flavors of cherries and yellow-fleshed red plums are pretty and accented by a hint of smoke. Quaffable. —J.C.",Old Vine,84,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Simon Hackett 2000 Old Vine Grenache (McLaren Vale),Grenache,Simon Hackett,#481C6E
+89532,Australia,"Grapey and sappy, with almost candied cherry fruit, this is a young wine made to be consumed young. Try chilling it to give the cherry and chocolate flavors greater focus and quaff it with burgers this summer. —J.C.",Bin 50,84,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Lindemans 2001 Bin 50 Shiraz (South Eastern Australia),Shiraz,Lindemans,#471669
+89533,Australia,"The initially effusive nose of strawberries and caramel quiets rather quickly, replaced by cola and tree bark. There's more of the same in the mouth, finishing with a stemmy note. —J.C.",Bin 99,84,9.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Lindemans 2001 Bin 99 Pinot Noir (South Australia),Pinot Noir,Lindemans,#414286
+89539,Australia,"A 70-30 blend, this wine shows loads of cherry fruit that's surprisingly tart given the wine's loose-knit nature. Finishes with a warm alcoholic glow and hints of damp earth, cinnamon, clove and eucalyptus. —J.C.",Grenache/Shiraz,84,15.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Tatachilla 2000 Grenache/Shiraz Red (McLaren Vale),Red Blend,Tatachilla,#3F4788
+89626,Australia,"Deep cassis aromas, a touch of licorice, and menthol notes on the nose open to a palate of black-currant and cocoa flavors in this well-balanced, medium-weight wine. Nicely structured, it finishes with good length and moderate tannins; can be cellared a few years. Best Buy.",,88,11.0,South Australia,Barossa Valley,,,,Jacob's Creek 1998 Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Jacob's Creek,#471163
+89643,Australia,"This defines mainstream, affordable Chardonnay via its soft apple, pear and pineapple bouquet, pleasing mouthfeel and nice, lightly sweet blend of fruit, butter and spice elements on the palate and finish. Best Buy.",,87,10.0,South Australia,Barossa Valley,,,,Jacob's Creek 2000 Chardonnay (Barossa Valley),Chardonnay,Jacob's Creek,#440154
+89652,Australia,"Full-bodied and plush in texture, this offers plenty of apricot marmalade fruit and some nasturtium-blossom-like spice, making for a satisfying mouthful of flavor.",,85,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail 2015 Chardonnay (South Eastern Australia),Chardonnay,Yellow Tail,#440154
+89653,Australia,"An earthy rendering of Pinot Noir, this features scents and flavors of clean humus, dead leaves, molasses and just a hint of plum. It's medium-bodied, and finishes well, marked by silky tannins and ample length.",Ladies Who Shoot Their Lunch,85,35.0,Victoria,Strathbogie Ranges,,Joe Czerwinski,@JoeCz,Fowles Wine 2012 Ladies Who Shoot Their Lunch Pinot Noir (Strathbogie Ranges),Pinot Noir,Fowles Wine,#414286
+89664,Australia,"Entry-level Pinot Noir isn't an easy ask anywhere in the world. This one is marked by chocolate and espresso overtones and features a dark, earthy core that's medium-bodied and appropriately silky in texture.",Village,84,26.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2012 Village Pinot Noir (Yarra Valley),Pinot Noir,Yering Station,#414286
+89677,Australia,"This budget-priced rosé sparkler is earthy and mushroomy, with modest berry flavors, a slightly creamy texture and citrus zest on the finish.",Pink Bubbles,84,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yellow Tail 2015 Pink Bubbles Sparkling (South Australia),Sparkling Blend,Yellow Tail,#38578C
+89680,Australia,"Cranberries and pie cherries give a crisp, almost citrusy, edge to this wine. The tannins are silky and there's some appealing clove-like spice as well, but the acids are elevated, making the wine come across as tart and ungenerous.",The Little Villager,84,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Stable Hill 2013 The Little Villager Pinot Noir (Adelaide Hills),Pinot Noir,Stable Hill,#414286
+89807,Australia,"Somewhat thick and pulpy in texture, with chunky apple, peach and musk melon fruit forming a fruit-cocktail of a Chardonnay. Simple, fruity and clean, with a citrusy note on the finish. Drink now.",Unoaked,85,19.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Jip Jip Rocks 2009 Unoaked Chardonnay (Padthaway),Chardonnay,Jip Jip Rocks,#440154
+89924,Australia,"Dry Red No. 2 is virtually all Shiraz, though small amounts of Viognier, Marsanne and Mataro are often included. The 2008 displays slightly vegetal shadings of capsicum and tomato that may prove controversial, but there's ample cassis as well, rounded out by a cedar note. Its medium weight and delicate, silky texture combine to impart those ineffable qualities of grace and elegance.",Dry Red Wine No. 2,94,95.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2008 Dry Red Wine No. 2 Shiraz-Viognier (Yarra Valley),Shiraz-Viognier,Yarra Yering,#462F7C
+89928,Australia,"Full bodied and richly textured, this is a terrific example of Barossa Shiraz. From its smoky aromas and intense, briary scents to its complex, earthy, spicy flavors with an undercurrent of blackberry, this is a complete package. The long finish is slightly chewy, suggesting that additional aging is warranted. Drink 2016–2025.",Green's Vineyard,93,104.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2008 Green's Vineyard Shiraz (Barossa Valley),Shiraz,Kilikanoon,#471669
+89934,Australia,"The quality of the wine emerging from this producer located off the coast of South Australia continues to impress. This is a big, brash Shiraz, screaming with vanilla and mixed berry flavors, yet the result is some kind of harmony, even with the volume turned up to 11. It's full bodied and plushly textured, with a long, layered finish. Delicious now and over the five years or more.",,93,30.0,South Australia,Kangaroo Island,,Joe Czerwinski,@JoeCz,Hazyblur 2007 Shiraz (Kangaroo Island),Shiraz,Hazyblur,#471669
+90198,Australia,"Tart, citrusy fruit flavors with some herbal overtones contrast with this wine's ample weight, while the finish is crisp and zesty. Drink now.",Bridgeland Block,84,28.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Streicker 2016 Bridgeland Block Rosé (Margaret River),Rosé,Streicker,#450558
+90485,Australia,"Dried herb and tobacco accent a mix of red and black fruit in this silky-textured wine. Vanilla and menthol notes add more nuance on the nose, while the red fruit lingers elegantly on the long, velvety finish. Drink now–2025.",St. Andrews Single Vineyard Release,93,60.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2010 St. Andrews Single Vineyard Release Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+90504,Australia,"A dark, inky purple in color, this is a full-bodied (15.5% alcohol) but gentle Malbec, its vanilla, plum and black olive notes framed by supple tannins and a velvety finish. Drink it over the next several years.",St Kitts Vineyard on Truro Volcanic Soil,90,30.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Thorn Clarke 2008 St Kitts Vineyard on Truro Volcanic Soil Malbec (Barossa Valley),Malbec,Thorn Clarke,#39B976
+90510,Australia,"Despite being 51% Sangiovese, this wine comes across as more Shiraz in style, marked by dark, plummy notes, black olive, tar and coffee. It's medium-bodied, with soft, creamy tannins and a reasonably long finish. Maybe the Sangiovese just brightens things a little. Good value.",Sangiovese - Shiraz,90,16.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Coriole 2008 Sangiovese - Shiraz Red (McLaren Vale),Red Blend,Coriole,#3F4788
+90517,Australia,"The 2014 vintage was slightly cooler than 2013 in the Barossa, which bodes well for Cabernet. This shows aromatic red currants, bay leaf and sage on the nose, then folds in hints of cinnamon and brown sugar. The oak is in the background, letting the fruit carry the wine, yet building in a rich, velvety texture. Drink now–2030.",Blacksmith,92,31.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2014 Blacksmith Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Langmeil,#471163
+90529,Australia,"Full bodied, creamy and rich, this wine will undoubtedly please Torbreck fans and provide another piece of ammo for critics. Tasted blind, I wrote, “Torbreck-like nose of lifted spice and stewed berries.” There's a hint of mint as well. Mixed berries and brown sugar notes mingle easily on the palate, while a touch of dried fruit (not a positive) creeps in on the finish. Drink now–2025.",Descendant,92,125.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2013 Descendant Shiraz-Viognier (Barossa Valley),Shiraz-Viognier,Torbreck,#462F7C
+90531,Australia,"Classic Eden Valley aromas of lemon-lime sherbet and wet stone mark the nose of this medium-bodied wine. That wet stone note carries through on the palate to yield a slightly chalky or crushed-stone texture, while the citrus fruits race through the long finish. Drink 2020–2030.",Julius,92,43.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2015 Julius Riesling (Eden Valley),Riesling,Henschke,#443982
+90535,Australia,"At a fraction of the cost of the Velvet Glove, readers can try this wine with similar results. It's full, rich and expansive on the palate. Warm waves of ripe berries suffuse the palate, tinged with Mexican chocolate, vanilla and mocha. Drink now–2025.",Carnival of Love,92,75.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mollydooker 2014 Carnival of Love Shiraz (McLaren Vale),Shiraz,Mollydooker,#471669
+90536,Australia,"Creamy and plush may not be traditional Cabernet descriptors, but they're what this wine delivers. Vanilla and graham cracker notes swaddle mixed currant fruit in this big but cuddly teddy bear of a wine. Drink now–2022.",Gigglepot,92,49.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mollydooker 2014 Gigglepot Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Mollydooker,#471163
+90591,Australia,"This is a savory style of Shiraz that remains very drinkable. Despite being full-bodied, it's bright and refreshing on the palate, delivering notions of cracked pepper, sour plum and roasted meat. The long finish is simultaneously dusty and mouth-watering. Drink now–2025.",Old Block,93,69.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,St Hallett 2010 Old Block Shiraz (Barossa),Shiraz,St Hallett,#471669
+90598,Australia,"Like it's slightly more elevated cousin, Kay's Block 6 Shiraz, this is full bodied and almost painfully concentrated. Lovely oak-derived notes of cinnamon, vanilla and mocha cosset roasted meat and blueberries, then glide to a long, dusty finish. Drink 2020–2030.",Amery Vineyard Hillside,93,60.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kay Brothers 2012 Amery Vineyard Hillside Shiraz (McLaren Vale),Shiraz,Kay Brothers,#471669
+90723,Australia,"This McLaren Vale winery specializes in blends of Mediterranean varieties, and this is a fine example. It's 70% Mourvèdre and 30% Syrah, featuring plum, berry and cedary vanilla notes, plus a bit of meatiness on the nose. Richly textured on the palate, it finishes long.",Composé,92,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Cascabel 2013 Composé Mourvèdre-Syrah (McLaren Vale),Mourvèdre-Syrah,Cascabel,#D4E11A
+90727,Australia,"A bit reticent on the nose, showing hints of struck flint, lime and custard, but this tightly coiled Chard shows its true brilliance in the mouth, revealing complex fruit flavors of lime and lemon, but also slightly riper notes: apple and white peach come to mind. The bright core of acids shines on the long, refreshing finish. Should age comfortably through 2015, at least.",Kevin John,91,75.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2007 Kevin John Chardonnay (Margaret River),Chardonnay,Cullen,#440154
+90740,Australia,"Although d'Arenberg is better known as a source of hearty McLaren Vale red wines, this tautly balanced, wooded Chard leans toward pineapple and lime. Buttered, toasted hazelnuts add a polished, elegant note to the long, citrusy finish.",The Lucky Lizard,91,35.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Lucky Lizard Chardonnay (Adelaide Hills),Chardonnay,D'Arenberg,#440154
+90844,Australia,"The aromas carry with them a bright raspberry note, which adds amplitude to the other scents of peppery spice, while the flavors revolve around the same raspberry core, embellished with vanilla, pepper, clove and cinnamon. It's medium-bodied wine, with creamy-soft tannins, balanced acids and a lingering finish.",,91,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Battle of Bosworth 2004 Shiraz (McLaren Vale),Shiraz,Battle of Bosworth,#471669
+90855,Australia,"The 2005 Inkwell wines are undeniably big, but they manage to carry their weight and ample alcohol levels with a surprising measure of balance and grace. This one clocks in at 15.7%, but doesn't seem hot or heavy, just mouthfilling and round. Blueberry and blackberry fruit lead the way, but they're joined by earthier notes of black olive, coffee and tree bark. Drink now–2010.",Wild Thing,91,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Inkwell 2005 Wild Thing Shiraz (McLaren Vale),Shiraz,Inkwell,#471669
+90903,Australia,"A disappointing blend of wine sourced from Mornington and Yarra, this is a bit pale in color, with a Sherried edge to the fruit and some astrigency on the finish.",Pocketwatch,81,15.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Robert Oatley 2012 Pocketwatch Pinot Noir (Victoria),Pinot Noir,Robert Oatley,#414286
+90962,Australia,"A terrific example of Australian Chardonnay, the 2003 Tiers offers mature aromas of truffles, orange marmalade and peach preserves. It's full-bodied and rich, yet retains a sense of freshness on the long, anise-tinged finish. Drink now–2012.",Tiers,93,70.0,South Australia,Piccadilly Valley,,Joe Czerwinski,@JoeCz,Petaluma 2003 Tiers Chardonnay (Piccadilly Valley),Chardonnay,Petaluma,#440154
+91067,Australia,"Oddly confected on the nose, with cotton candy-like cherry aromas, but once past that, this isn't bad wine, even if it's not really varietally correct. It's round in the mouth but with crisp acids, giving it a hard-edged feel, while the flavors are less candied and more like black cherries and chocolate.",Single Vineyard,84,15.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Fonty's Pool 2007 Single Vineyard Pinot Noir (Pemberton),Pinot Noir,Fonty's Pool,#414286
+91188,Australia,"A fruit-driven style of sparkling wine, with apple and citrus notes only slightly touched by yeastiness. It's a bit coarse in texture, but soft and cuddly on the finish, making it easy to back for another sip.",Sparkling Cuvée,85,17.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Jip Jip Rocks NV Sparkling Cuvée Sparkling (Padthaway),Sparkling Blend,Jip Jip Rocks,#38578C
+91276,Australia,"Wine geeks like to poke fun at Yellow Tail, but there's a lot to like about this offering. It's full-fruited, with plenty of grapy cassis, chocolate and tobacco aromas and flavors, complemented by a thick, velvety texture. Drink now.",The Reserve,86,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail 2007 The Reserve Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Yellow Tail,#471163
+91326,Australia,"Scents of grilled peach and mango give this medium-bodied wine a tropical feel. It's creamy and lush on the palate, then adds a mouthwatering burst of citrus on the finish. Flavorful and satisfying.",,88,27.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Morambro Creek 2014 Chardonnay (Padthaway),Chardonnay,Morambro Creek,#440154
+91355,Australia,"Lush and creamy in texture, this shows just how good some relatively inexpensive Barossa Shiraz can be. Elements of graham cracker, espresso, dark chocolate and baking spices are bolstered by ample weight and berry fruit. Enjoy this velvety wine over the short term—by 2018 or so.",,91,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,3 Rings 2013 Shiraz (Barossa Valley),Shiraz,3 Rings,#471669
+91383,Australia,"An opulent style from one of Tasmania's most well known sparkling producers, this bubbly starts on enticing aromas of buttered toast, lemon curd, and copper penny. The palate offers more richness and a mouthfilling mousse, along with an intriguing herbaceousness on the finish.",Premium Cuvée,88,27.0,Tasmania,Tasmania,,,,Jansz NV Premium Cuvée Sparkling (Tasmania),Sparkling Blend,Jansz,#38578C
+91457,Australia,"This wine boasts an expansive and complex lineup of aromas and flavors, ranging from dusty earth and cola through plummy fruit and hints of cinnamon and clove. It's plump and round in the mouth, with soft dusty tannins to provide support. Drink now through 2025.",Robinson,92,55.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Moorooduc 2013 Robinson Pinot Noir (Mornington Peninsula),Pinot Noir,Moorooduc,#414286
+91458,Australia,"With a degree more alcohol than Moorooduc's 2013 Robinson bottling, this is a riper, even more richly textured example of Chardonnay. There's a hint of warmth on the finish as a result, but overall it keeps a fine sense of balance. Toast, brown sugar and caramelized pineapple notes lead the way, backed by hints of melon and citrus. Drink now.",The Moorooduc McIntyre,92,65.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Moorooduc 2013 The Moorooduc McIntyre Chardonnay (Mornington Peninsula),Chardonnay,Moorooduc,#440154
+91502,Australia,"Espresso, blackberry and black olive flavors all come together on the palate of this medium- to full-bodied Shiraz. Hints of leather, plum, menthol and spice add complexity to the aromas, while only a touch of warmth on the finish from its 15% alcohol keeps this from an excellent rating. Drink now.",The Shearer,89,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Longwood 2006 The Shearer Shiraz (McLaren Vale),Shiraz,Longwood,#471669
+91506,Australia,"Pretty ripe stuff, featuring aromas of brandied fruitcake to go along with its 14.5% alcohol. Plenty of spice, vanilla and toasty oak frames the blackberry fruit, finishing with a touch of coffee. Drink now–2012. Imported by International Vines, Inc.",Catapult,89,24.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2006 Catapult Shiraz-Viognier (McLaren Vale),Shiraz-Viognier,Wirra Wirra,#462F7C
+91511,Australia,"Shows plenty of palate weight, but very little tannin, combining cedar and vanilla from oak with slightly grapy, black cherry flavors. It's ready to drink now; don't count on aging it for very long.",Tamblyn Cabernet-Shiraz-Malbec-Merlot,88,21.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Bremerton 2005 Tamblyn Cabernet-Shiraz-Malbec-Merlot Red (Langhorne Creek),Red Blend,Bremerton,#3F4788
+91601,Australia,"This medium-bodied Cabernet is elegant and supple enough to offer some pleasure, but also boasts some green bell pepper and eucalyptus notes. Drink now.",,83,9.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2013 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Oxford Landing,#471163
+91633,Australia,"This wine is spot on with the modern Aussie movement towards light-bodied, moderate-alcohol wines, with little to no oak influence. From the cool climes of Western Victoria, this is downright delicious and a total bargain. Bright, ripe red cherry, chocolate, cola and violet notes lead into a plush yet zingy palate of juicy red fruits, silky soft tannins and a long tangy finish.",,92,15.0,Victoria,Grampians,,,,Point Ormond 2015 Sangiovese (Grampians),Sangiovese,Point Ormond,#1E978A
+91642,Australia,"Made and grown by one of Barossa's most highly respected wine families, the Kalleskes, this Shiraz is a complex specimen of dried cherries, herbs and beef marinade, with soft tannins and a long, savory finish. It's elegant and silky without having to flex its muscles.",Estate Grown,92,20.0,South Australia,Barossa Valley,,,,Atze's Corner 2015 Estate Grown Shiraz (Barossa Valley),Shiraz,Atze's Corner,#471669
+91954,Australia,"Clean and subtle with intriguing musk scents and a medium-weight palate with orange peel and lemon fruit. While the palate is a bit lazy, there's a hit of acidity on the finish to keep things fresh. Drink now.",,85,20.0,Victoria,Yarra Valley,,,,Innocent Bystander 2008 Pinot Gris (Yarra Valley),Pinot Gris,Innocent Bystander,#23888D
+91957,Australia,"Black ash, cedar and crushed raspberries are the aromas here, while an underlying note of wet earth keeps things grounded. The palate has a sweet cherry cordial character while the short finish offers up a hit of mixed berry soup. Drink up.",,84,12.0,South Australia,McLaren Vale,,,,Razor's Edge 2008 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Razor's Edge,#471163
+91961,Australia,"A classic Shiraz nose of plum pudding and rubber leads to a medium-weight palate that's got a bit of depth to it, with undertones of humus and fall leaves. Fresh black fruit pops up briefly on the short, crisp finish. Drink up.",,84,10.0,Australia Other,South Eastern Australia,,,,Bulletin Place 2008 Shiraz (South Eastern Australia),Shiraz,Bulletin Place,#471669
+91963,Australia,An opening scent of freshly cut grass is followed by some earthy low tones and an intense lemon note in the mouth. There's not a lot of concentration here but there's a bit of depth to the flavors and a pleasant chalkiness on the finish. Drink up.,Deen De Bortoli Vat 2,84,13.0,Australia Other,Australia,,,,De Bortoli 2009 Deen De Bortoli Vat 2 Sauvignon Blanc (Australia),Sauvignon Blanc,De Bortoli,#482172
+92009,Australia,"A potentially polarizing wine, the 2005 Idyll Vineyard Shiraz boasts a complex bouquet that ranges from meaty and gamy to stewed fruit and coffee and green olive. It's likeable in a stinky-cheese way. In the mouth, the tannins are soft and Pinot-like, but the wine does show a trace of heat, adding a chocolaty note on the finish.",Idyll Vineyard,85,30.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Littore 2005 Idyll Vineyard Shiraz (South Eastern Australia),Shiraz,Littore,#471669
+92017,Australia,"Despite a slightly bitter edge to its raspberry and charred-oak flavors, this medium-bodied Pinot Noir delivers plenty of pleasure. It's a soft, medium-bodied Pinot with nuances of brown sugar and coffee and a persistent finish. Ready to drink now.",,85,20.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Hill of Content 2005 Pinot Noir (Adelaide Hills),Pinot Noir,Hill of Content,#414286
+92020,Australia,"From the Bowral region, one hour south of Sydney, this is a slightly herbal and green-tinged Pinot Noir, but one with considerable cherry intensity and a woody overlay. It's a good, medium-bodied effort, but could use a touch more richness and complexity overall.",Unfiltered Single Vineyard Reserve,85,33.0,New South Wales,New South Wales,,Joe Czerwinski,@JoeCz,Centennial 2005 Unfiltered Single Vineyard Reserve Pinot Noir (New South Wales),Pinot Noir,Centennial,#414286
+92107,Australia,"This is a savory, meaty rendering of Cabernet Sauvignon, boasting aromas of cedar, smoke and soy-marinated grilled beef. Those peppered beef notes carry onto the palate, joined by hints of brown sugar. Full bodied and creamy, it finishes long, framed by supple tannins. Drink now–2020.",Serpico,91,55.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2010 Serpico Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Mitolo,#471163
+92172,Australia,"Though a bit timid on the nose, this example is impressive for its intense tangle of flavors in the mouth, which run from watermelon candy, to raspberry, wet earth, leather and chocolate. A good structure of firm acidity and brawny tannins as well as the moderately long finish suggest this wine will improve with a few years in the cellar. It can also be consumed now alongside hearty fare.",,87,18.0,Victoria,Yarra Valley,,,,Yering Station 2006 Shiraz-Viognier (Yarra Valley),Shiraz-Viognier,Yering Station,#462F7C
+92180,Australia,"Made in a ready-to-drink style, this is a slightly creamy-textured Cabernet that hits the right notes: cassis, vanilla, black olive and a hint of menthol. It's a fruit-driven wine that lacks a bit structure, but will please most palates through 2020.",Raconteur,88,17.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vinaceous 2013 Raconteur Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Vinaceous,#471163
+92366,Australia,"This wine's alcohol is apparent from the start, as is a huge oak component and jammy, confected fruit. It's cedary, minty and grapy, with a warm, woody finish.",Two Left Feet,84,28.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Mollydooker 2015 Two Left Feet Red (South Australia),Red Blend,Mollydooker,#3F4788
+92620,Australia,"This is a nicely put together Chardonnay, offering enough creamy richness to balance the wine's crisp acids. Pineapple and tangerine flavors dominate, lingering elegantly on the finish without revealing obvious oak flavors.",Sexton Vineyard,91,35.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2009 Sexton Vineyard Chardonnay (Yarra Valley),Chardonnay,Giant Steps,#440154
+92703,Australia,"Made in a rich, opulent style for near-term consumption, Yangarra's Roussanne features exotic notes of toasted hazelnuts, bananas Foster and ripe pineapple. It's full-bodied without being overly heavy, with a long finish redolent of tropical fruit and citrus.",Single Vineyard,91,24.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2007 Single Vineyard Roussanne (McLaren Vale),Roussanne,Yangarra Estate Vineyard,#40BD72
+92709,Australia,"Despite this wine's 16% alcohol, it does an excellent job carrying it. There's a superripe lift to the aromas of black cherry and a hint of sur-maturité in the notes of apricot preserves, but this is a big, lush, creamy-textured wine with a wonderfully rich mouthfeel and layers of fruit on the finish. Drink now–2012.",1850 Old Vine,91,80.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Cirillo 2004 1850 Old Vine Grenache (Barossa Valley),Grenache,Cirillo,#481C6E
+92723,Australia,"In some ways this is the most classically built 2005 Clarendon Hills Cabernet. There's a hint of greeness to the aromas and flavors that are not found in the other offerings, which may make it more or less appealing, depending on your tastes. Mint, cassis and vanilla mingle easily on the palate, which is lush and creamy but shows hints of Cabernet austerity at the same time. Drink now–2020. Imported by Wine Brokers Unlimited.",Sandown,91,70.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2005 Sandown Cabernet Sauvignon (Clarendon),Cabernet Sauvignon,Clarendon Hills,#471163
+92835,Australia,"This attractively colored sparkler is a light peachy-pink hue, with fragrant aromas of oranges, lemons and tropical fruit. It's light in weight (only 5.5% alcohol) but also rather sweet, and could use just a little zip to help balance out the sugar.",,85,10.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Innocent Bystander 2007 Moscato (Victoria),Moscato,Innocent Bystander,#2F6A8D
+92837,Australia,"This is a jammy, fruit-forward rendition of sparkling Shiraz, with plenty of blueberry and blackberry flavors and a touch of sugar on the finish. Imported by Pernod Ricard, USA.",Bin 555,85,17.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Wyndham Estate NV Bin 555 Shiraz (South Eastern Australia),Shiraz,Wyndham Estate,#471669
+92883,Australia,"This is wildly aromatic, with floral hints of cracked pepper and apricot lending nuance to the dark berry fruit. The palate is richly textured, leading into a slightly warm, supple finish accented by licorice.",MV,92,22.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Paxton 2014 MV Shiraz (McLaren Vale),Shiraz,Paxton,#471669
+92888,Australia,"Limestone Coast encompasses the Padthaway, Coonawarra and Wrattonbully regions (and the undemarcated bits in between), so it's a larger region, but one still focused on quality. This wine combines notes of eucalyptus and red fruit with toasted coconut-like oak. It's got a silky texture and a long finish. Drink now through 2025.",,92,35.0,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,St Mary's 2013 Shiraz (Limestone Coast),Shiraz,St Mary's,#471669
+92895,Australia,"The Tyrrell family was excited about its 2014s when I visited there earlier this year, and this suggests their ebullience is well founded. The aromas are fresh and floral, loaded with cherry-berry fruit and a hint of cracked pepper, while on the palate, the wine is medium bodied and supple, with a long, peppery, silky finish.",,92,25.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Tyrrell's 2014 Shiraz (Hunter Valley),Shiraz,Tyrrell's,#471669
+93158,Australia,"Plummy and chocolaty in profile, this medium- to full-bodied sparkling Shiraz remains surprisingly refreshing on the long, dusty finish. It makes for a crowd-pleasing introduction to the style.",The Chook Sparkling,89,20.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,The Black Chook NV The Chook Sparkling Shiraz (South Australia),Shiraz,The Black Chook,#471669
+93200,Australia,"This ripe, wooded Chardonnay fits most consumers' expectations, delivering hints of smoke, peach and citrus fruit in a rounded, lush format. Fine for summertime sipping.",Reserve,86,35.43766346992153,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Gumdale 2010 Reserve Chardonnay (South Eastern Australia),Chardonnay,Gumdale,#440154
+93260,Australia,"For a Grenache-dominated (70%) blend, this shows outstanding structure. the firm tannins are slightly drying right now, but should smooth out nicely by 2012 and the wine should continue to drink well through at least 2020. Ripe cherry and cassis notes are framed by subtle cedary oak, imparting a sophisticated elegance to the long finish.",The Ironstone Pressings,92,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The Ironstone Pressings G-S-M (McLaren Vale),G-S-M,D'Arenberg,#26818E
+93424,Australia,"This wine shows its age in the dark coffee color rimmed with green. Dates and raisins provide the foundation for complex molasses and rancio notes that build on the finish, where enough citrusy notes provide balance to the syrupy-sweet flavors.",Show Liqueur,90,22.0,New South Wales,New South Wales,,Joe Czerwinski,@JoeCz,De Bortoli NV Show Liqueur Muscat Hamburg (New South Wales),Muscat Hamburg,De Bortoli,#DFE318
+93442,Australia,"This wine's subtle underpinnings of smoke, toasted hazelnuts and baking spices add layers of interest to the melon and citrus fruit. This is medium to full bodied and just a bit creamy on the palate, making it a nicely balanced, all-around solid Chardonnay for drinking over the next few years.",,90,22.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Stella Bella 2010 Chardonnay (Margaret River),Chardonnay,Stella Bella,#440154
+93449,Australia,"A full-bodied, very ripe rendering of Shiraz, Mitolo's 2009 G.A.M. offers hints of raisined fruit to go with its notes of coffee, smoke, roasted meat and baking spices. The creamy midpalate and velvety finish make it drinkable already, although it should hold up well for another few years.",G.A.M.,90,42.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2009 G.A.M. Shiraz (McLaren Vale),Shiraz,Mitolo,#471669
+93450,Australia,"There's an attractive minty note to this wine that some may find too prominent, but the underlying cassis fruit is strong and the wine's structure is firm. The tannins are even a bit chewy at this stage, so either give it a year or two to mellow or pair it with some rare beef or lamb.",Vineyard Select,90,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Angove 2008 Vineyard Select Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Angove,#471163
+93852,Australia,"Because of a short vintage, this Clare Valley-based winery reached down into Padthaway for fruit. The result is a broad, slightly warm wine, marked by melon, peach and apricot flavors. Drink now.",,87,17.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wakefield 2015 Chardonnay (South Australia),Chardonnay,Wakefield,#440154
+93911,Australia,"The nose is cagey, with yeast tones hiding behind apple and melon fruit. Some nice minerality emerges in the mouth, along with a ripe green pea tone that slides into fresh apple on the medium finish. The mousse could hang around a bit longer, but the irresistible fruit here means that it probably won't be in your glass long enough to matter. Drink now, with hors d'oeuvres.",Emeri Sparkling,85,13.0,Australia Other,South Eastern Australia,,,,De Bortoli NV Emeri Sparkling Sauvignon Blanc (South Eastern Australia),Sauvignon Blanc,De Bortoli,#482172
+94106,Australia,"Sparkling Shiraz is an acquired taste, but this is a good introduction to the genre. Simply put, it's a big, oaky Shiraz with bubbles, bursting with vanilla, blackberry, chocolate and cedar aromas and flavors. Enjoy it over the next few years for its youthful exuberance.",Strawberry Chocolate Sparkling,88,21.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Chocolate Box 2008 Strawberry Chocolate Sparkling Shiraz (Barossa Valley),Shiraz,Chocolate Box,#471669
+94416,Australia,"This medium-bodied wine is a stylistic departure from the stereotypical Aussie stainless-steel Sauvignon Blanc, being fermented and aged in old French oak barrels for eight months. The result is a citrusy wine with greater depth and richer texture, even some leesy, slightly toasty notes that complement rather than overwhelm the fruit. Drink now–2010, but it could surprise and develop even more interest over time.",Estate Grown,88,30.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2007 Estate Grown Sauvignon (Yarra Valley),Sauvignon,De Bortoli,#E9E419
+94628,Australia,"Given the paucity of quality Viognier (or any Viognier) for under $15, this is a notable achievement. Musky, melony and spicy, it marries ample weight and breadth with just enough life-giving acidity. Drink now.",The Y Series,87,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2016 The Y Series Viognier (South Australia),Viognier,Yalumba,#45347F
+94643,Australia,"A bit obviously pungent and sweaty, this passion fruit-scented wine is direct and to the point, marrying medium body with a tangy, mouthwatering finish. If you enjoy slightly feral citrus notes, you may rate it higher.",The Foil,87,21.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Riposte 2015 The Foil Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Riposte,#482172
+94832,Australia,"Surprisingly firmly built, with crisp acids and firm tannins framing plummy, blackberry fruit and vanilla, cinnamon and clove notes. Good now with rare meats, or cellar through 2010 to round off today's rough edges.",,89,19.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2005 Shiraz (Western Australia),Shiraz,West Cape Howe,#471669
+94834,Australia,"Not that much Hunter Shiraz makes it to the U.S. these days, but this bottling from Wyndham Estate is a nice example. It shows rather clean winemaking, with strong vanilla and cedar notes from barrel aging to go alongside blueberry and blackberry fruit. Only mildly tannic, so it's approachable now, but should age through at least 2012.",Black Cluster,89,35.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Wyndham Estate 2003 Black Cluster Shiraz (Hunter Valley),Shiraz,Wyndham Estate,#471669
+94840,Australia,"Alkoomi's Shiraz-Viognier features mildly herbal, peppery qualities to go with fresh, red-berried fruit and a touch of coffee. It's very supple in texture, but does have enough acidity to maintain its shape, making it easy to drink young.",,89,23.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Alkoomi 2004 Shiraz-Viognier (Frankland River),Shiraz-Viognier,Alkoomi,#462F7C
+94842,Australia,"This fine offering from Victoria's Mornington Peninsula nails Pinot Noir's elusive texture, gliding across the palate in a silky veil. Cherry-berry fruit is framed by hints of brown sugar, coffee and vanilla, but the oak should integrate with a few more months' aging.",Reserve,89,40.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Stonier 2006 Reserve Pinot Noir (Mornington Peninsula),Pinot Noir,Stonier,#414286
+94852,Australia,"Imagine a dark, smoky espresso bar, lined with leather banquettes. Mouthwatering scents of grilled meat waft in from a back garden. This is a full-bodied, plush rendering of Mourvèdre that doesn't show much freshness or fruit yet still caresses the palate.",The Pict,91,75.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2012 The Pict Mataro (Barossa Valley),Mataro,Torbreck,#70CE56
+94911,Australia,"This medium-bodied bargain-priced sparkler is maybe just a touch on the heavy side, but it should satisfy most party crowds. Hints of toast accent pineapple and tropical fruit notes, finishing soft and short. Worth trying in Mimosas or Bellinis.",The Vines Brut Cuvée,84,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Beelgara NV The Vines Brut Cuvée Sparkling (South Eastern Australia),Sparkling Blend,Beelgara,#38578C
+94913,Australia,"This wine is very pale in color, but the aromas are anything but understated, zooming out in full floral, orangy Muscat character. It's soft and sweet, balanced a bit by citrusy acids on the finish.",White Chocolate,84,17.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Chocolate Box 2010 White Chocolate Moscato (Barossa Valley),Moscato,Chocolate Box,#2F6A8D
+94931,Australia,"This unwooded Chardonnay takes a bit of swirling in the glass before revealing subtle notes of citrus, stone fruit, melon, and blossoms. The palate really perks up with a chalky texture, medium weight and zingy, lemony finish. Crack this one open with poultry or veggies.",Estate Unwooded,88,35.43766346992153,South Australia,Adelaide Hills,,,,Wicks 2015 Estate Unwooded Chardonnay (Adelaide Hills),Chardonnay,Wicks,#440154
+95081,Australia,"Reilly's 2007 Dry Land Shiraz is full bodied and velvety textured without being overbearing—trademark attributes of Clare Valley Shiraz. It delivers superripe cherries but wraps them in a cocoon of spicy, savory complexity and soft tannins. Drink now-2017.",Dry Land,90,25.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Reilly's 2007 Dry Land Shiraz (Clare Valley),Shiraz,Reilly's,#471669
+95085,Australia,"Elderton is making classically styled Barossa Shiraz, marrying raspberry fruit with rich chocolaty overtones and wrapping them in a soft cocoon of supple tannins and balanced acidity. Drink now–2014.",,90,28.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Elderton 2006 Shiraz (Barossa),Shiraz,Elderton,#471669
+95387,Australia,"On the lean, citrusy side, but the flavors of pineapple and lemon are married to hints of vanilla and smoke for added complexity. Could use a touch more flesh, but some will enjoy the crispness.",Citrine,86,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Gemtree 2008 Citrine Chardonnay (McLaren Vale),Chardonnay,Gemtree,#440154
+95751,Australia,"Youthfully inexpressive on the nose, with just a hint of graham cracker showing at the moment. But in the mouth, there's plenty of weight and the fruit shines, blasting forth in cassis-laden glory. Try in 2010.",,89,22.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Shingleback 2006 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Shingleback,#471163
+95863,Australia,"Clean and fruity--what can one reasonably ask of a wine at this price point? Pineapple and other tropical fruit flavors are delivered by a round, easy mouthfeel and soft finish.",,84,7.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Alice White 2007 Chardonnay (South Eastern Australia),Chardonnay,Alice White,#440154
+95868,Australia,"This 68% Semillon and 32% Sauvignon is intensely herbal on the nose, and the green character persists throughout, yet never veers into vegetal. It's cleanly made and medium-bodied, with a crisp finish.",Crossing,84,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Juniper 2007 Crossing Semillon-Sauvignon Blanc (Margaret River),Semillon-Sauvignon Blanc,Juniper,#3A538B
+95869,Australia,"Shows good varietal character in its herb- and tobacco-accented cassis aromas and flavors, but lacks the intensity to put it in the top class. A well-priced Cabernet for near-term consumption or restaurant wine lists.",,84,15.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2005 Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Peter Lehmann,#471163
+96008,Australia,"Tastes and smells fresh and sweet, like freshly mown hay and nectarines. The overall impression here is one of freshness, really, from its crisp, summery flavors to its zippy mouthfeel. A very nice wine, and a fair price for a taste of a perennial Oz favorite.",,89,18.0,South Australia,Clare Valley,,,,Pikes 2002 Riesling (Clare Valley),Riesling,Pikes,#443982
+96014,Australia,"The pairing possibilities with this wine seem endless: seafood of all kinds, chicken, pasta salad, maybe pork, but it'd also make perfect sense to drink it as an aperitif. Clean and dry in the mouth, mineral and chalk are at the fore, with lime pith, soy and grass underneath. Finishes medium-long, with more of the same.",Cooladerra Vineyard,89,18.0,Western Australia,Western Australia,,,,Frankland Estate 2002 Cooladerra Vineyard Riesling (Western Australia),Riesling,Frankland Estate,#443982
+96019,Australia,"This is a bright, balanced Chard with a clean, chalky mouthfeel and nice Golden Delicious apple, passion fruit and peach flavors on the palate. Finishes with dry citrus flavors. It screams summer, so enjoy it outside while the weather's fine.",,88,13.0,South Australia,Clare Valley,,,,Annie's Lane 2002 Chardonnay (Clare Valley),Chardonnay,Annie's Lane,#440154
+96020,Australia,"This Riesling is a beautiful rose-copper color. Fresh flavors of white stone fruit and straw on the palate, with more of the same, plus some custard or cream, on the nose. It's medium-bodied and is more elegant than it is zippy or fresh. Finishes clean, with hay and peach.",Art Series,88,22.0,Western Australia,Margaret River,,,,Leeuwin Estate 2002 Art Series Riesling (Margaret River),Riesling,Leeuwin Estate,#443982
+96024,Australia,"This Reserve somehow didn't show quite as well as  Pikes's regular bottling, though it's still a very good wine. It's a little viscous in the mouth, with straw, lemon rind and mineral flavors that flow through the finish.",Reserve,88,23.0,South Australia,Clare Valley,,,,Pikes 2001 Reserve Riesling (Clare Valley),Riesling,Pikes,#443982
+96026,Australia,"A well-balanced and medium-bodied offering; pear and other stone fruit flavors dominate the palate, while pear and lemon-lime aromas harmonize on the nose. Finishes with drying chalk and mineral notes. A solid, flavorful wine.",,88,13.0,South Australia,Coonawarra,,,,Wynns Coonawarra Estate 2002 Chardonnay (Coonawarra),Chardonnay,Wynns Coonawarra Estate,#440154
+96027,Australia,"Though it is in the unscrewcapped minority, this is a well-built Riesling, and one that somehow seems engineered to please a wide-reaching audience. It offers white peach and other subtle fruit flavors dusted with sweet talc, make no mistake—its dry, minerally mouthfeel is the key player here. Has a little spritz in the mouth, with white pepper and a burst of peach fruit on the back end.",,88,17.0,Western Australia,Frankland River,,,,Alkoomi 2002 Riesling (Frankland River),Riesling,Alkoomi,#443982
+96028,Australia,"Aromas are of licorice, plum and whole wheat. Merlot makes up just 10% of this blend, which has a smooth claylike texture and flavors of roasted meat and plum. It's approachable now, and very tasty.",,88,16.0,Australia Other,South Eastern Australia,,,,Burton 2000 Cabernet Sauvignon-Merlot (South Eastern Australia),Cabernet Sauvignon-Merlot,Burton,#345F8D
+96032,Australia,"This is a sleek, medium-bodied Cabernet from inland Victoria. Oak use is restrained, leaving cassis, cassis and more cassis to stand largely on its own. The result is a bit simple, but well built, finishing with firm, dusty tannins.",,87,23.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2013 Cabernet Sauvignon (Nagambie Lakes),Cabernet Sauvignon,Tahbilk,#471163
+96036,Australia,"This is a bright, edgy Chardonnay. Smoke and roasted nuts complement pineapple and citrus aromas and flavors, while the palate is medium bodied and taut with crisp acids. Drink now–2020.",,87,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Di Giorgio Family Wines 2014 Chardonnay (Coonawarra),Chardonnay,Di Giorgio Family Wines,#440154
+96151,Australia,"American Brad Hickey has turned out a full-bodied, richly textured Shiraz that features a strong savory component. Hints of eucalyptus, roasted meat, espresso and plum all come together to finish long and velvety. Drink now through 2025.",SHZ Site Specific,92,40.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Brash Higgins 2013 SHZ Site Specific Shiraz (McLaren Vale),Shiraz,Brash Higgins,#471669
+96202,Australia,"This bargain-priced offering is simple, fruity and direct, marked by peach and pineapple notes and a silky texture. Drink now.",,85,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Settlers Rise 2016 Chardonnay (South Eastern Australia),Chardonnay,Settlers Rise,#440154
+96278,Australia,"This is a fine value in weeknight Cabernet, showing supple tannins, regionally distinct aromas and flavors of currants, sage and bay leaf, and subtle oak. Drink this fruit-driven, silky wine through 2020.",Exmoor,89,16.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Xanadu 2013 Exmoor Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Xanadu,#471163
+96279,Australia,"A solid effort at a bargain price makes this Chardonnay doubly appealing. It's medium bodied, delivering oodles of pineapple-tinged fruit and finishing clean and refreshing.",The Y Series Unwooded,89,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2016 The Y Series Unwooded Chardonnay (South Australia),Chardonnay,Yalumba,#440154
+96283,Australia,"Despite it's considerable size, this silky wine is fresh and vibrant. Black currants and cherries lead the way, tinged with herbal notes suggestive of mint and lavender. Drink now–2020.",,89,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,3 Rings 2015 Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,3 Rings,#471163
+96558,Australia,"A pronounced herbal note adds a weedy edge to this otherwise full-bodied, plush Cabernet. Cassis fruit is potent without being overbearing, while the oak is prominent, lending structure and vanilla. Drink now.",Truffle Chocolate,87,17.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Chocolate Box 2009 Truffle Chocolate Cabernet Sauvignon (Barossa Valley),Cabernet Sauvignon,Chocolate Box,#471163
+96649,Australia,"Sometimes all that's required is a full-bodied, supple red to pair with dinner. And sometimes, the bottle exceeds expectations, like this one. Blackberry, cassis and hints of brown sugar and vanilla avoid getting too confectionary, framed by crisp acids and fine tannins on the finish. Drink now–2020.",,90,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Schild Estate 2013 Shiraz (Barossa Valley),Shiraz,Schild Estate,#471669
+96651,Australia,"This wine from high-altitude inland Victoria is built around acids, not tannins. It's full bodied but bright, lively and refreshing, with crisp cherry and cassis fruit framed by hints of tobacco, vanilla and mint.",Stone Dwellers,90,20.0,Victoria,Strathbogie Ranges,,Joe Czerwinski,@JoeCz,Fowles Wine 2009 Stone Dwellers Shiraz (Strathbogie Ranges),Shiraz,Fowles Wine,#471669
+96699,Australia,"Restrained aromatically, with a slight minerally-graphite note, this is a pleasantly stony wine, perhaps a bit austere. It's medium bodied, ending with a touch of grapefruit pith.",White Chocolate,85,16.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Chocolate Box 2008 White Chocolate Sauvignon Blanc (Eden Valley),Sauvignon Blanc,Chocolate Box,#482172
+96828,Australia,"Lean, tart, angular and edgy, this delivers just what some people are looking for in a Sauvignon Blanc. The fruit is tinged with green throughout, focusing in on lime zest, although there is some yellow plum. It's crisp and clean on the finish.",Farm to Table,85,17.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Fowles Wine 2014 Farm to Table Sauvignon Blanc (Victoria),Sauvignon Blanc,Fowles Wine,#482172
+96998,Australia,"Opening with a mineral-lime edge, this wine announces that it's tough as nails when it's actually more of a teddy bear in the mouth. The off-dry palate is drenched in creamy peach, pear and apricot notes that linger on the finish.",Artisan Wines Classic,87,13.0,Western Australia,Western Australia,,,,Marquee 2007 Artisan Wines Classic Riesling (Western Australia),Riesling,Marquee,#443982
+97001,Australia,"This wine shows exceptional freshness on the nose with newly mown grass, hay and lemon fruit. Yarraman is Aboriginal for “wild horse” and the palate has an appropriate kick to it, with crisp acidity suppporting complex lanolin, citrus and pineapple flavors. The finish is surprisingly long. Drink now.",Hay Burner,87,12.0,Australia Other,South Eastern Australia,,,,Yarraman 2006 Hay Burner Chardonnay (South Eastern Australia),Chardonnay,Yarraman,#440154
+97169,Australia,"This pale white offers up an irresistable nose grass and lanolin. Unfortunately, the full-bodied palate is a bit watery, with simple grapefruit flavors that die on the short finish.",The Yard Pedestal Vineyard,82,29.0,Western Australia,Western Australia,,,,Larry Cherubino 2007 The Yard Pedestal Vineyard Semillon-Sauvignon Blanc (Western Australia),Semillon-Sauvignon Blanc,Larry Cherubino,#3A538B
+97286,Australia,"Citrusy and fresh, with dominant aromas and flavors of lemon custard and pineapple. It's medium-bodied and cleanly made, just could use a touch more dimension and richness. Still, it's an easy-drinking Chardonnay suitable as an apéritif or alongside lighter dishes.",The Y Series Unwooded,84,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2007 The Y Series Unwooded Chardonnay (South Australia),Chardonnay,Yalumba,#440154
+97305,Australia,"This is full bodied and creamy textured, but still retains a sense of vibrancy and freshness. Black pepper notes help in that regard, spicing up the flavors of plum, mocha and roasted meat. It's plush, rich and long on the finish. Drink now–2025.",Family Crest,91,21.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2014 Family Crest Shiraz (McLaren Vale),Shiraz,Angove,#471669
+97326,Australia,"Conventional wisdom is that 2004 was a better Margaret River vintage than 2003, but this wine suffers a bit in comparison to its older sibling. Thankfully, it's still very good, with plentiful cassis and red plum fruit, soft tannins and crisp acids.",The Reserve,88,30.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Evans & Tate 2004 The Reserve Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Evans & Tate,#471163
+97335,Australia,"From a higher elevation—and hence cooler—region of Australia, this is a light to medium-bodied Cabernet that avoids excessive leanness, offering up a mélange of plump cassis, leather and tobacco. It's not the most powerful Cab, but offers elegance and length at an affordable price.",,88,13.0,New South Wales,Southern Highlands,,Joe Czerwinski,@JoeCz,Cuttaway Hill Estate 2004 Cabernet Sauvignon (Southern Highlands),Cabernet Sauvignon,Cuttaway Hill Estate,#471163
+97336,Australia,"This Coonawarra Cab is dark and earthy, yet a bit herbal and tobacco-y as well, marrying coffee and herb flavors in a firmly built, full-bodied wine that needs a few years in the cellar to develop greater textural richness.",,88,32.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Bowen Estate 2005 Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Bowen Estate,#471163
+97342,Australia,"A Western Australia offshoot of the Yalumba empire, Ringbolt's 2006 Cabernet Sauvignon offers solid quality at a reasonable price. It's medium-bodied and elegant, with prominent herbal notes balanced by cassis and chocolate. Long on the finish, where dried spice and vanilla notes emerge. Drink now–2012.",,88,16.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Ringbolt 2006 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Ringbolt,#471163
+97892,Australia,"More austere and lighter in weight than other Australian Cabernets in this price range, perhaps reflecting its coolish Coonawarra origins. Herb and cherry notes finish dusty and crisp. Might surprise in a year or two.",Reserve,85,13.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Jacob's Creek 2009 Reserve Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Jacob's Creek,#471163
+97895,Australia,"A medium-bodied Shiraz suited to everyday drinking, with cherry-berry fruit accented by hints of leather and smoke. It's a fresh, easy quaff to match with burgers or pizza.",Reserve,85,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Gosford 2009 Reserve Shiraz (South Eastern Australia),Shiraz,Gosford,#471669
+97897,Australia,"Bright berry fruit is jammy and simply fruity, but clean and soft. Drink this medium-bodied, supple Shiraz over the next year or so.",,85,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2009 Shiraz (South Australia),Shiraz,Oxford Landing,#471669
+97943,Australia,"Caramel and butter dominate the flavor mix, imparting the suggestion of movie popcorn and buttered toast, partially balanced by crisp pineapple and citrus fruit.",The Reserve,84,26.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Evans & Tate 2004 The Reserve Chardonnay (Margaret River),Chardonnay,Evans & Tate,#440154
+97984,Australia,"Picked on the early side, this is a lean, tight expression of what can be a plump endearing variety. Melon and fresh herbs turn grapefruit as the wine progresses across the palate, finishing tart and crisp. Drink now.",Jester,86,16.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2016 Jester Vermentino (McLaren Vale),Vermentino,Mitolo,#69CC5B
+98108,Australia,"Full-bodied and richly textured, with Penfolds' hallmark weight and structure on full display, the 2008 RWT shows a touch of the vintage's characteristic warmth, but only a touch. The cassis and blackberry fruit is plush, velvety and superripe, ending with hints of tobacco, mint and vanilla. It should drink well for at least a decade.",RWT,93,150.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Penfolds 2008 RWT Shiraz (Barossa Valley),Shiraz,Penfolds,#471669
+98184,Australia,"Harkens back to the value days of the Diamond Label—but the style has been updated to reflect more freshness and focus. Pineapple and melon notes display cool, citrusy overtones, picking up just a hint of caramel on the finish. Drink now.",Diamond Label,86,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Rosemount 2011 Diamond Label Chardonnay (South Eastern Australia),Chardonnay,Rosemount,#440154
+98211,Australia,"Full bodied, rugged and intense, this is an earthy Shiraz that could use 2–3 years of cellaring. Coffee grounds, black olives and savory plums are framed by hints of vanilla and firm tannins that turn a bit drying on the finish.",The Amaranthine Single Vineyard,88,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 The Amaranthine Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+98386,Australia,"One of the more approachable of the d'Arenberg single-vineyard collection of wines, this opens with notes of brown sugar, tarry fruit and bright cassis. It's full bodied and creamy in texture, with flavors of mocha, cassis and vanilla that culminate in a long, dusty finish. Drink now–2025.",Little Venice Single Vineyard,95,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 Little Venice Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+98828,Australia,"While the nose is on the simple side, with ultraripe—almost confected—cherry, cocoa powder, flowers and medicinal herbs, it's the palate that draws you in. Fresh acidity, particularly for the variety, and a good lick of tannins round out this sleek, well-structured wine. Drink now–2025.",The Old Legend,91,58.0,South Australia,Barossa Valley,,,,Hentley Farm 2015 The Old Legend Grenache (Barossa Valley),Grenache,Hentley Farm,#481C6E
+98832,Australia,"Classic Clare Valley notes of blossoms, lime popsicle and kerosene are all here, along with apple skin and a chalky minerality. The palate offers more of the same and wonderfully balanced acidity, slight spice and a long, limey finish.",Mort's Reserve,91,35.0,South Australia,Clare Valley,,,,Kilikanoon 2016 Mort's Reserve Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+98941,Australia,"This wine is a bit austere and tough to warm up to, with dry, leafy overtones encircling tangy cassis fruit like a cigar wrapper. Firm and crisp on the finish; try it in another year or two—it might improve with short-term cellaring.",,85,19.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2007 Cabernet Sauvignon (Nagambie Lakes),Cabernet Sauvignon,Tahbilk,#471163
+98948,Australia,"This medium-bodied blend of four varieties (Shiraz, Cabernet Sauvignon, Grenache and Mataro) features supremely soft tannins, balanced by crisp acids, while the flavors are a slightly resiny or medicinal—but not unpleasant—blend of mint, cedar, smoke and cherry. Drink now.",Masterpeace Red Blend,85,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Andrew Peace 2009 Masterpeace Red Blend Red (South Eastern Australia),Red Blend,Andrew Peace,#3F4788
+98959,Australia,"Spicy and herbal upfront, with cassis fruit that seems just a little dried out, giving way to molasses and brown sugar. It's a medium-bodied Cabernet with slightly drying tannins and a coarse-textured finish.",Vineyard Select,85,19.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Angove's 2007 Vineyard Select Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Angove's,#471163
+98966,Australia,"An easy-drinking Shiraz, Sidewood's 2007 features a creamy texture, hints of mint and vanilla and copious raspberry fruit. It's crisp on the finish to help balance the softness of the tannins. Drink now–2017.",,88,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2007 Shiraz (Adelaide Hills),Shiraz,Sidewood,#471669
+98997,Australia,"Supple, round and ready to drink, this blend features hints of tomato leaf, watermelon and clove layered over ripe cherries. Drink now–2016.",Wine Men of Gotham,86,11.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Gotham 2013 Wine Men of Gotham Shiraz-Grenache (South Australia),Shiraz-Grenache,Gotham,#2D6E8E
+99012,Australia,"This shows off the lovely weight and supple texture of Langhorne Creek fruit alongside bold flavors of chocolate and cassis. Despite that, there's also a nagging bit of green bell pepper that may not be to everyone's taste. Drink now.",Seduction,86,15.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Killibinbin 2013 Seduction Cabernet Sauvignon (Langhorne Creek),Cabernet Sauvignon,Killibinbin,#471163
+99086,Australia,"Comes on full and lush from the opening, with blackberry, chocolate, menthol and smoke aromas. In the mouth it delivers dark, dry flavors of plum, cassis and toasty oak and has good acidity that keeps it from getting mushy. The solid finish offers more of the same, a nice spiciness and some substantial tannins. Drink now; should be even better in two years.",Bin 128,90,22.0,South Australia,Coonawarra,,,,Penfolds 1998 Bin 128 Shiraz (Coonawarra),Shiraz,Penfolds,#471669
+99103,Australia,"Made for almost 40 years—since 1962—this edition of 389 sports lots of spicy American oak, and displays black fruit and tobacco aromas and flavors. The mouthfeel is big, the texture rich and the full, spicy finish is long and tannic. It's drinkable now, but really needs a few years to unwrap a bit, and the oak mantle will probably always be heavy. Satisfying, though somewhat one-dimensional.",Bin 389,89,19.0,Australia Other,Australia,,,,Penfolds 1998 Bin 389 Cabernet Sauvignon (Australia),Cabernet Sauvignon,Penfolds,#471163
+99139,Australia,"This faintly copper-tinged Pinot Grigio offers ripe melon and apple aromas and flavors. It's medium-bodied, with a refreshing crispness to the finish. Drink now.",Tic Tok,86,14.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,James Oatley 2009 Tic Tok Pinot Grigio (South Eastern Australia),Pinot Grigio,James Oatley,#423D84
+99318,Australia,"From vines planted in 1912, this has been an icon of South Australia Shiaz since 1952, when it was first bottled as a single-vineyard wine. Menthol and vanilla notes frame black cherries and cassis on the nose, while the palate reveals supple tannins and meaty, savory complexities. The finish is softly dusty, fine and long. Drink now–2030.",Mount Edelstone Vineyard,95,200.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Henschke 2014 Mount Edelstone Vineyard Shiraz (Eden Valley),Shiraz,Henschke,#471669
+99330,Australia,"This Cabernet equivalent to Grange has exploded in price (I remember tasting the 1996 on release when it was $25 per bottle), but there's no questioning the quality. A deep, intense nose of cassis, earth, menthol and cedar is followed by a full, rich palate that's supple without being soft. Brighter notes of red fruit emerge on the lengthy finish, which is dominated by sweet fruit and creamy lactones. Drink 2020–2030, and probably well beyond.",Bin 707,95,500.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2014 Bin 707 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Penfolds,#471163
+99340,Australia,"This rich, opulent wine carries its massive oak load easily, marrying vanilla and toasted coconut notes with ripe plum and black cherry flavors. It's full bodied and plush, with supple tannins supported by the wood. Give it a few years to knit together and drink it 2020–2030.",Les Amis,95,185.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2013 Les Amis Grenache (Barossa Valley),Grenache,Torbreck,#481C6E
+99525,Australia,"Shows classic Chard aromas of melon and peach, amply framed by toasted grain and cereal notes that add texture in the mouth. It's medium to full in body, then develops greater zest and freshness on the long, citrusy finish. Drink now–2012.",,89,19.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Coldstream Hills 2006 Chardonnay (Yarra Valley),Chardonnay,Coldstream Hills,#440154
+99756,Australia,"Mint, cassis and tobacco notes frame this relatively restrained rendering of Barossa Shiraz. It's medium bodied rather than overly rich or fat, with lingering notes of oak and tobacco on the finish. Drink it over the next few years.",,88,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,3 Rings 2009 Shiraz (Barossa Valley),Shiraz,3 Rings,#471669
+99877,Australia,"Clancy's is a reliable Barossa blend that in 2008 is 50% Shiraz, 34% Cabernet Sauvignon and 16% Merlot. It's a supple wine, the bright cherry fruit framed by tart acids rather than firm tannins. Drink it over the next couple of years.",Clancy's Shiraz-Cabernet Sauvignon-Merlot,86,17.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2008 Clancy's Shiraz-Cabernet Sauvignon-Merlot Red (Barossa),Red Blend,Peter Lehmann,#3F4788
+100264,Australia,"Despite reaching its eighth birthday, this is still an incredibly youthful vibrant purple color, with no signs of aging. Aromas and flavors of smoke, toast, black olive, vanilla and cassis are what you might expect from a much younger wine. The tannins are firm, yet the wine is fleshy enough to carry them into a long finish. Drink 2018–2025.",1919,93,100.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Casella 2006 1919 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Casella,#471163
+100393,Australia,"Old-vine Shiraz from the valley floor imparts great richness and a creamy texture to this wine's tannins, framed easily by hints of vanilla. Yet it's not a simple fruit-and-oak concoction—with time in the glass it steadily unfurls to reveal herbal and spice complexities. Marries power and elegance;  drink now–2015.",The Factor,92,105.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2006 The Factor Shiraz (Barossa Valley),Shiraz,Torbreck,#471669
+100407,Australia,"The most recent release of Penfolds' “Baby Grange” is a beauty, loaded with the chocomint character that has made it famous. Dark berry and cassis take over on the creamy, lushly textured midpalate, finishing long and velvety. Drink now or hold up to 15 years.",Bin 389,91,36.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2007 Bin 389 Cabernet Sauvignon-Shiraz (South Australia),Cabernet Sauvignon-Shiraz,Penfolds,#208F8C
+100442,Australia,"Leafy and herbal on the nose, but the flavors are clean, favoring cassis over the green stuff. Light-bodied, with modest tannins, this would pair well with chops or burgers.",,84,18.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Xanadu 2005 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Xanadu,#471163
+100459,Australia,"Starts off with a hint of vinyl on the nose, layered atop sour cherry and vanilla flavors. The slightly syrupy texture is offset by tangy acids on the finish. Imported by Walca International.",,84,12.0,South Australia,Adelaide Plains,,Joe Czerwinski,@JoeCz,Red Earth 2006 Cabernet Sauvignon (Adelaide Plains),Cabernet Sauvignon,Red Earth,#471163
+100466,Australia,"Fresh grassiness, interwoven with a mineral note and aromas of apple and pear make for an elegant opening. The rather dilute palate shows a surprising level of spritz but also some burnt orange flavors while the short finish betrays a hint of sweetness.",,82,14.0,Australia Other,South Eastern Australia,,,,Terra Australis 2008 Chardonnay (South Eastern Australia),Chardonnay,Terra Australis,#440154
+100467,Australia,"This wine shows strong barnyard and sulfur notes overwhelming an otherwise appealing nose of herbes de Provence and grilled pork. The palate is juicy, with appealing cherry notes while the smooth finish winds up on an ashy note.",Nine Vines,82,12.0,South Australia,South Australia,,,,Angove's 2006 Nine Vines Shiraz-Viognier (South Australia),Shiraz-Viognier,Angove's,#462F7C
+100469,Australia,"This bargain-basement Australian is oddly lacking in fruit, offering up herbaceous and pine scents instead. Flavor is likewise scarce on the crisp palate and the short finish. No tannins in sight.",,81,5.0,Australia Other,South Eastern Australia,,,,Banrock Station 2006 Shiraz-Cabernet Sauvignon (South Eastern Australia),Shiraz-Cabernet Sauvignon,Banrock Station,#460B5E
+100470,Australia,The nose is honest and fresh with more herbaceous and mulchy notes than fruit. Strawberry notes infuse the rather weak palate but lead to a hit of alcohol on the finish. Drink now.,,81,9.0,Australia Other,South Eastern Australia,,,,Blue Reef 2007 Shiraz-Cabernet Sauvignon (South Eastern Australia),Shiraz-Cabernet Sauvignon,Blue Reef,#460B5E
+100476,Australia,"Fresh but faint aromas of hay, candlewax and grass open this honest but simple effort. The palate lacks intensity but displays a bit of a mineral streak. Disappointingly short on the finish. Imported by Nelwood Wines.",Unoaked,81,15.0,South Australia,South Australia,,,,Red Mud 2007 Unoaked Chardonnay (South Australia),Chardonnay,Red Mud,#440154
+100489,Australia,"Odd notes of Pez candy and confectioner's sugar open this new entry from Southeast Australia. With a watery palate and an almost nonexistent finish, the wine does not make as much of an impression as the catchy name.",,80,12.0,Australia Other,South Eastern Australia,,,,Woomera 2006 Chardonnay (South Eastern Australia),Chardonnay,Woomera,#440154
+100585,Australia,"Full-bodied, soft in texture and loaded with peach and melon fruit, this is a tasty everyday Chard. Hints of custard and lime give it additional interest, while the finish ends on a citrusy (orange?) note. Drink now.",dB Selection,85,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2007 dB Selection Chardonnay (South Eastern Australia),Chardonnay,De Bortoli,#440154
+100734,Australia,"This wine earns every penny of its modest price tag with a bright palate of petrol, talcum powder and wet stones propping up aromas of white flowers, cumin and lime. The finish could be longer but with this stunning nose and palate, we're not complaining. Drink now.",Magnus,89,12.0,South Australia,Clare Valley,,,,Leasingham 2008 Magnus Riesling (Clare Valley),Riesling,Leasingham,#443982
+100781,Australia,"This supple, easy-drinking Cabernet features appealing ripe cassis and vanilla shadings. Hints of black cherry and graham cracker add nuance, while the texture is a bit creamy on the midpalate, turning dusty on the finish. Drink now–2020.",Miamup,89,22.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Howard Park 2012 Miamup Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Howard Park,#471163
+100794,Australia,"This cherry-scented Pinot is straightforward, supple and easy to drink. Complexity comes from hints of cedar and menthol, while the finish is lined with fine, dusty tannins that elegantly linger.",,89,50.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yeringberg 2012 Pinot Noir (Yarra Valley),Pinot Noir,Yeringberg,#414286
+100795,Australia,"Lime zest and green apple mark this wine's nose and palate, dominating the senses at this early stage of the wine's evolution. A bit of dustiness emerges on the long, dry finish.",,89,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2012 Riesling (Clare Valley),Riesling,Wakefield,#443982
+100796,Australia,"This Riesling shows a bit of honeyed development already, hinting at orange or tangerine marmalade on the slightly abbreviated finish. Enjoy it over the next few years.",Jaraman,89,25.0,South Australia,Clare Valley-Eden Valley,,Joe Czerwinski,@JoeCz,Wakefield 2012 Jaraman Riesling (Clare Valley-Eden Valley),Riesling,Wakefield,#443982
+100922,Australia,"This simple, quaffable red is a solid introduction to the Wirra Wirra stable. Ribena-like cassis notes dominate, picking up hints of vanilla on the palate and finishing crisp and dry.",Scrubby Rise Shiraz-Cabernet Sauvignon-Petit Verdot,86,15.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,Wirra Wirra 2013 Scrubby Rise Shiraz-Cabernet Sauvignon-Petit Verdot Red (Adelaide),Red Blend,Wirra Wirra,#3F4788
+101114,Australia,"A Yarra Valley classic, Dry Red No. 1 is a Bordeaux-style blend marked by its restrained alcohol levels yet potent flavors. The 2007 features scents of tobacco, vanilla and cassis, with a hint of tomato emerging on the palate. It's medium-bodied, with a long finish that finishes with firm but silky tannins and lip-smacking cassis. Approachable now, but should age well for 10–15 years.",Dry Red Wine No. 1,92,75.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2007 Dry Red Wine No. 1 Red (Yarra Valley),Red Blend,Yarra Yering,#3F4788
+101212,Australia,"Crisp black cherry and mint aromas burst from the glass, then carry over onto the chunky, authoritative palate before finishing slightly dusty and astringent. This medium-bodied Cabernet features plenty of intensity, it just needs a little time to settle down into a more refined package.",Jester,86,22.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2007 Jester Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Mitolo,#471163
+101331,Australia,"Round and lush, with boldly oaky notes of caramelized nuts and vanilla accenting tropical fruit. Drink now.",Reserve,87,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail 2009 Reserve Chardonnay (South Eastern Australia),Chardonnay,Yellow Tail,#440154
+101346,Australia,"A more somber garnet color than some other sparkling Shirazes, with seemingly lower pressure and a more vinous character. Vanilla, leather and cherry notes finish close to dry. A very good, inexpensive introduction to the genre.",Emeri Sparkling,87,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,De Bortoli NV Emeri Sparkling Shiraz (South Eastern Australia),Shiraz,De Bortoli,#471669
+101408,Australia,"Despite substantial alcohol (16.5%), this admirably concentrated wine doesn't show that much heat, nor does it show any roasted, cooked character. Instead, it delivers black olive, leather and cassis flavors just tinged with mint and a fresh, lively finish hinting at coffee. The tannins are soft but present, helping to balance a hint of residual sugar. Drink now–2012.",Calliope Limited Release,88,35.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,R.L. Buller & Son 2004 Calliope Limited Release Durif (Rutherglen),Durif,R.L. Buller & Son,#CAE01E
+101419,Australia,"Mixed berry, cola and cedar notes dominate the nose, while the palate is packed with cherry cola and leather flavors. The dense texture could use some time to open up, and that suggestion of ageability is reinforced by the finish's dry, dusty tannins. Drink 2010–15. Imported by Tom Eddy Wines.",Regional Series,87,22.0,Western Australia,Mount Barker,,,,Capel Vale 2005 Regional Series Shiraz (Mount Barker),Shiraz,Capel Vale,#471669
+101548,Australia,"This is simple yet rich style, with dark berries, chocolate and toasty oak notes. For those who like their powerful, dense reds, this comes at an affordable price.",,86,15.0,South Australia,McLaren Vale,,,,Red Knot 2015 Shiraz (McLaren Vale),Shiraz,Red Knot,#471669
+101620,Australia,"d'Arenberg has a quartet of sweet wines from 2008, and this blend of Viognier, Pinot Gris and Marsanne represents a terrific value. It's syrupy sweet, redolent of honey-drizzled, spiced poached pears. To quibble, it could be a touch more complex and crisp, but it is still a succulent mouthful of dessert wine for drinking over the next few years.",The Noble Mud Pie Viognier-Pinot Gris-Marsanne,92,19.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Noble Mud Pie Viognier-Pinot Gris-Marsanne White (Adelaide),White Blend,D'Arenberg,#32638D
+101868,Australia,"This wine shows some of the cool-climate notes associated with Western Australia and its maritime climate; green tobacco and other herbs intertwine with bright cassis fruit. At the same time, the fine quality of the tannins is evident in this wine's velvety texture, which makes it a pleasure to drink. Best now–2017.",Book Ends,89,24.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2007 Book Ends Cabernet Sauvignon (Western Australia),Cabernet Sauvignon,West Cape Howe,#471163
+102000,Australia,"Dominated by the menthol and cedar notes of oak, this medium-bodied Pinot features a modicum of cherry fruit and a tart, crisp finish.",,84,20.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2007 Pinot Noir (Western Australia),Pinot Noir,West Cape Howe,#414286
+102114,Australia,"Opening with an attractive buttery, leesy, toasty oak nose, this Chardonnay shows good fruit complexity, blending stone fruits, citrus and melon flavors against an appealing mineral-chalk element. Good mouthfeel and a lengthy finish complete the package.",,89,17.0,South Australia,Limestone Coast,,,,Stonehaven 1999 Chardonnay (Limestone Coast),Chardonnay,Stonehaven,#440154
+102119,Australia,"Quite lively and solid, offering loads of black currant and bramble on the nose, and ripe dark fruit with smoky accents on the palate. The mouthfeel is supple, with a nice peppery tang, and it finishes well, with tart berry and licorice notes.",,88,9.0,Australia Other,South Eastern Australia,,,,Stonehaven 1998 Shiraz (South Eastern Australia),Shiraz,Stonehaven,#471669
+102125,Australia,"This vintage of Rocky Gully Riesling comes across as quite ripe and rich despite the modest alcohol content. Smoky hints of struck flint and heating oil spice up flavors of baked apple and vanilla, then linger on the finish.",Rocky Gully,91,25.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2014 Rocky Gully Riesling (Frankland River),Riesling,Frankland Estate,#443982
+102169,Australia,"Passion fruit, melon and guava flood across the palate in waves of unnuanced tropical fruit. This is medium-bodied and plump in the mouth, with an almost juice-like feel.",Promised Land Unwooded,84,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wakefield 2016 Promised Land Unwooded Chardonnay (South Australia),Chardonnay,Wakefield,#440154
+102176,Australia,"The Australian giant has reached across the Tasman to New Zealand for 7% of this wine, but it remains a simple, medium-bodied white dominated by citrus and wax bean aromas and flavors. Drink up.",,83,8.0,Australia Other,Australia-New Zealand,,Joe Czerwinski,@JoeCz,Yellow Tail NV Sauvignon Blanc (Australia-New Zealand),Sauvignon Blanc,Yellow Tail,#482172
+102184,Australia,"Somewhat weedy on the nose; then shows a lot of overripe cherries on the palate, along with baking spices like clove and cinnamon. Soft and pleasantly chewy.",,86,24.0,Western Australia,Western Australia,,,,Sandalford 2000 Merlot (Western Australia),Merlot,Sandalford,#24848D
+102193,Australia,"This wine could be the poster boy for Australian Chardonnay. The nectarine and peach aromas and flavors are coddled by a touch of vanilla and the entire package is soft, juicy and easy to drink. It's nothing fancy, just yummy weekday wine.",,86,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Stonehaven 2001 Chardonnay (South Eastern Australia),Chardonnay,Stonehaven,#440154
+102198,Australia,"Wow—talk about contrasts. The nose is way over the top, a grotesque parody of a butterscotch sundae. The finish is multilayered and complex, featuring echoes of toast and white peaches. In between is a somewhat neutral-tasting wine. You may love it or you may hate it—it's that kind of wine.",,85,25.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Arthur's Creek 1999 Chardonnay (Yarra Valley),Chardonnay,Arthur's Creek,#440154
+102202,Australia,"This warm-climate Chard shows its origins in its ripe, sweet peach-nectar aromas, kissed with caramel and smoke. Weighty in the mouth—close to syrupy—then it finishes cleanly in a burst of tart, lime-like acidity.",,85,11.0,South Australia,Riverland,,Joe Czerwinski,@JoeCz,Salena Estate 2001 Chardonnay (Riverland),Chardonnay,Salena Estate,#440154
+102203,Australia,"Leads off with dusty, nutty, sugary aromas, like the bottom of the bag of honey-roasted peanuts, but there's also hints of buttered toast, ripe pears and black pepper. Flavors are simpler—caramel and pineapple—and it's heavy on the palate.",Mount Barker,85,21.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Plantagenet 1999 Mount Barker Chardonnay (Western Australia),Chardonnay,Plantagenet,#440154
+102204,Australia,"From a cool-weather region, this tangy, slightly sharp Chardonnay aims at a Chablis style and almost pulls it off. Smells ripe, with pear and guava notes, but the palate is less so—grapefruit and lima-bean flavors prevail.",Unoaked,85,18.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Willow Creek 2001 Unoaked Chardonnay (Mornington Peninsula),Chardonnay,Willow Creek,#440154
+102378,Australia,"This is a plush, rounded wine, lacking much edge or cut, yet concentrated and flavorful. Roasted hazelnuts and cashews frame creamy pineapple fruit, ending in soft ripples of citrus. Drink now.",Beginning Single Vineyard,87,25.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,The Lane 2014 Beginning Single Vineyard Chardonnay (Adelaide Hills),Chardonnay,The Lane,#440154
+102428,Australia,"This is slightly plusher and more powerful than the similarly excellent 2010 Heytesbury, yet still retains an undeniable sense of finesse. Dried herbs and flowers mark the nose, while the flavors include black cherry, cassis and vanilla. On the finish, lingering fruit persists beyond the soft, mildly drying tannins. Drink now–2025.",Heytesbury,92,110.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2011 Heytesbury Red (Margaret River),Bordeaux-style Red Blend,Vasse Felix,#1F938B
+102430,Australia,"Fully mature, this is a medium-bodied, creamy-textured sparkling wine that could handle main-course duties. Notes of brioche dominate, filled out by hints of pineapple and citrus, followed by a lingering finish.",Pipers River Vintage Release Méthode Traditionnelle,92,40.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Clover Hill 2007 Pipers River Vintage Release Méthode Traditionnelle  (Tasmania),Champagne Blend,Clover Hill,#30678D
+102431,Australia,"Full bodied and richly textured, this is an approachable wine that should nonetheless drink well through at least 2025. Toasted coconut accents cassis and blackberry fruit, folding in hints of vanilla on the long, mouthwatering finish.",Phoenix,92,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2012 Phoenix Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Penley Estate,#471163
+102567,Australia,"Smells pure and citrusy, offering up scents of lemon curd, grapefruit zest and lime juice, then adds rounder melon notes on the palate, which is rather fat and shows a bit of alcohol. Zesty on the finish, but warm, too.",Jim Jim Unoaked,86,13.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hugh Hamilton 2007 Jim Jim Unoaked Chardonnay (McLaren Vale),Chardonnay,Hugh Hamilton,#440154
+102575,Australia,"An earthy, savory style, with just enough crisp blackberry and sour plum fruit to give it a sense of modernity. It's fairly full-bodied, finishing with a squirt of lemon juice and some dusty tannins.",,86,13.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Howling Wolves 2004 Shiraz (Margaret River),Shiraz,Howling Wolves,#471669
+102706,Australia,"This doesn't fit the current fashion in Australian Pinot Noir toward lightness and delicacy. Instead, it delivers rich and mellow flavors of black cherry, tinged with licorice, earth and moss. Drink it over the next several years.",,90,95.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2009 Pinot Noir (Yarra Valley),Pinot Noir,Yarra Yering,#414286
+102707,Australia,"This is a full-bodied yet crisp and firmly tannic Cabernet that appears in need of further cellaring. A prominent eucalyptus character accents notes of cassis and espresso, while the finish is a bit tough and gritty at this stage. Try 2018–2025.",Mentor,90,38.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2008 Mentor Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Peter Lehmann,#471163
+103069,Australia,"Made in a restrained, perhaps age-worthy style, Leeuwin's 2008 Art Series Shiraz offers up cassis tinged with hints of mint and tobacco. The tannins are silky in texture, while the wine never strays past medium weight. Drink now–2020.",Art Series,89,35.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2008 Art Series Shiraz (Margaret River),Shiraz,Leeuwin Estate,#471669
+103141,Australia,"A step up from the other Syrahs in the 2008 Clarendon Hills' lineup, the Astralis is firmly tannic and should be long-lived. The masses of rich black-cherry fruit are amply framed by cedary oak without ever being overwhelmed, with the fruit persisting on the long finish. Try around 2018.",Astralis,94,225.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2008 Astralis Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+103261,Australia,"Like all of the Yering Station Reserves, this one shows a healthy whack of new oak, but there's plenty of ripe cherry fruit to support the vanilla and cedar nuances. It's medium bodied, plump yet suave, with a long finish that echoes vanilla and spice. Drink now–2019.",Reserve,90,65.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2010 Reserve Pinot Noir (Yarra Valley),Pinot Noir,Yering Station,#414286
+103295,Australia,"This Pinot Grigio is faintly coppery in color (trendy in some circles), with slightly floral and citrus overtones. It's modest in alcohol, but reasonably plump on the midpalate, delivering melon and apple-skin flavors before finishing crisp and refreshing. Drink now.",,87,17.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Robert Oatley 2010 Pinot Grigio (Adelaide Hills),Pinot Grigio,Robert Oatley,#423D84
+103313,Australia,"Already showing a bit of bricking, this is a full-bodied Shiraz that's a bit coarse in texture, with aromas and flavors of plum and brown sugar. The finish matches tart, zingy fruit with sweet, molasses-tinged oak. The individual components show promise, but it's tough to say if they will all come together in time.",Noble Baron,87,50.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Château Tanunda 2008 Noble Baron Shiraz (Barossa),Shiraz,Château Tanunda,#471669
+103323,Australia,"Light to medium in body and rather tart, with leather and dried cherry notes that are submerged under an excessively medicinal character.",Wine Lovers,82,15.0,New South Wales,Orange,,Joe Czerwinski,@JoeCz,Tamburlaine 2008 Wine Lovers Malbec (Orange),Malbec,Tamburlaine,#39B976
+103335,Australia,"The wine looks a touch amber-like at the rim, with aromas of butterscotch and cracked pepper. The flavors carry a bruised-fruit character, and the wine seems a bit flabby on the palate. Not up to this project's usual high standards.",Lieu Dit Malakoff,82,30.0,Victoria,Pyrenees,,Joe Czerwinski,@JoeCz,Domaine Terlato & Chapoutier 2009 Lieu Dit Malakoff Viognier (Pyrenees),Viognier,Domaine Terlato & Chapoutier,#45347F
+103376,Australia,"Hungerford Hill's vast array of wines includes this savory Shiraz, which features ample leather, tar, black olive and coffee flavors. It's fleshy and supple on the palate, with softly lingering tannins on the finish. Drink now–2017.",Fishcage,88,18.0,New South Wales,New South Wales,,Joe Czerwinski,@JoeCz,Hungerford Hill 2009 Fishcage Shiraz (New South Wales),Shiraz,Hungerford Hill,#471669
+103420,Australia,"Coonawarra is Cabernet country, but this Chardonnay is a solid contender. Subtle toast and citrus aromas show admirable restraint, while there's ample weight and the flavors of pineapple and melon finish clean and citrusy.",Aradia,89,20.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2011 Aradia Chardonnay (Coonawarra),Chardonnay,Penley Estate,#440154
+103534,Australia,"This Southern Hemisphere adventure from an Austrian winemaking family can turn out some interesting wines. In this case, it's a medium-bodied wine that's firm yet silky in feel, marrying cassis and tobacco leaf with subtle, balanced oak.",Finniss River Braeside Vineyard,91,35.0,South Australia,Fleurieu Peninsula,,Joe Czerwinski,@JoeCz,Salomon Estate 2013 Finniss River Braeside Vineyard Cabernet Sauvignon (Fleurieu Peninsula),Cabernet Sauvignon,Salomon Estate,#471163
+103536,Australia,"this is a lovely effort and a great value from Sidewood in the Adelaide Hills. Grilled peaches provide the flesh, while a bright, citrusy note adds focus and length to this ripe, rich Chardonnay. Drink now–2020.",,91,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2015 Chardonnay (Adelaide Hills),Chardonnay,Sidewood,#440154
+103558,Australia,"D'Arenberg's Coppermine Cabernets are often tannic and austere upon release, so be warned should you decide to open one in the next year or two. The aromas and flavors are classic this year, seamlessly marrying cassis and cedar, but finishing dry, astringent and firm. Drink 2020–2030+.",The Coppermine Road,91,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2013 The Coppermine Road Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,D'Arenberg,#471163
+103598,Australia,"Of all the various d'Arenberg Shiraz bottlings, this may be the silkiest in texture this vintage. It's still a full-bodied wine, filled with savory, earthy notes of black olive and espresso, but the finish stands apart for its length and suaveness. Drink now–2025.",The Other Side Single Vineyard,91,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Other Side Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+103604,Australia,"Like so many of the 2010 Shirazes from South Australia, this is a terrific wine. It's full bodied and creamy in texture without going over the top, and the bold, oak-derived aromas of toast and vanilla ably frame flavors of black olive and plum. Already very drinkable, it should still be going strong in 2020.",Woodhenge,91,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2010 Woodhenge Shiraz (McLaren Vale),Shiraz,Wirra Wirra,#471669
+103676,Australia,"This medium- to full-bodied sparkler is pleasantly dry in style. Perhaps the bubbles accentuate the cedar, vanilla and baking spice aromas, but there's plenty of blackberry fruit to carry the palate and a long, dusty finish.",Generation Series Battle Axe Sparkling,90,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mr. Riggs NV Generation Series Battle Axe Sparkling Shiraz (McLaren Vale),Shiraz,Mr. Riggs,#471669
+103701,Australia,"A terrific deal, this is as varietally correct and rich a Viognier as you'll find for the price. Honeysuckle and apricot notes are carried by a slightly oily texture, yet the wine finishes long and elegantly. Vegan. Drink now.",The Y Series,90,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2014 The Y Series Viognier (South Australia),Viognier,Yalumba,#45347F
+103911,Australia,"This bottling is less ebullient than previous vintages, but that only makes it more appealing. It still has its hallmark blackberry, spice and cocoa shadings, they're just in better overall proportion and balanced by more of an earthy, savory streak. The tannins are ripe and silky, the fruit bright on the finish.",Jester,91,22.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2014 Jester Shiraz (McLaren Vale),Shiraz,Mitolo,#471669
+103999,Australia,"A big but balanced Shiraz, Tatiarra's Cambrian Shiraz takes its name from the ancient rocks that underlie the vineyards. Black cherries, licorice and mineral notes finish long, picking up nuances of black olives. Drink now–2015, possibly longer.",Cambrian,92,56.0,Victoria,Heathcote,,,,Tatiarra 2005 Cambrian Shiraz (Heathcote),Shiraz,Tatiarra,#471669
+104037,Australia,"This is a terrific Chardonnay at a great price, offering subtle notes of toasted grain upfront, followed by bright lemon-lime fruit and crisp acidity. It's medium-bodied, so it won't overpower whatever food you serve it with and the laser beam of citrusy acidity on the finish is wrapped in a gauzy sheath of pleasant nuttiness. Drink now–2020, possibly longer.",,92,21.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Plantagenet 2014 Chardonnay (Great Southern),Chardonnay,Plantagenet,#440154
+104047,Australia,"This partnership between the Rhône's Michel Chapoutier and his American importer seems remarkably consistent. Peppery clove aromas presage a medium-bodied, silky wine that combines spice with black olives on the midpalate. It's long, finely textured and espresso-tinged on the finish.",L- Block,92,60.0,Victoria,Pyrenees,,Joe Czerwinski,@JoeCz,Domaine Terlato & Chapoutier 2012 L- Block Shiraz (Pyrenees),Shiraz,Domaine Terlato & Chapoutier,#471669
+104052,Australia,"At six years of age, this is just coming into its own. Hints of green fruit remain, tempered by notes of wet stone and toasted marshmallow, harbingers of the full maturity that will arrive in a few years. It's not as lean or edgy as it must've been as a young wine, but is rounding beautifully into form. Drink now–2025.",Vat 1,92,67.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Tyrrell's 2011 Vat 1 Semillon (Hunter Valley),Sémillon,Tyrrell's,#2C728E
+104053,Australia,"It's good to see this Margaret River stalwart return to the States. The 2015 DJL is a slightly nutty, toasty wine, plump and silky in texture. Pear, melon, vanilla and citrus notes finish long.",DJL,92,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Xanadu 2015 DJL Chardonnay (Margaret River),Chardonnay,Xanadu,#440154
+104074,Australia,"The 2015 vintage in Mornington yielded dark concentrated wines. This one is atypically (for the estate) full bodied and bold as a result, with plum and black-cherry fruit and hints of mint, sage and bay leaf. Long and a bit drying on the finish, it needs a couple of years to come into balance. Drink 2020–2030.",Estate,92,56.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Kooyong 2015 Estate Pinot Noir (Mornington Peninsula),Pinot Noir,Kooyong,#414286
+104227,Australia,"This is a medium-bodied, richly textured Chardonnay that deserves a place on any table. Grilled pineapple and peach notes convey ripeness without excessive oak or weight, finishing long and plush. Drink now–2020.",Made With Organic Grapes,90,17.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2015 Made With Organic Grapes Chardonnay (South Australia),Chardonnay,Yalumba,#440154
+104234,Australia,"This juicy, medium-bodied Shiraz is filled with mouthwatering cherry-berry fruit. Some silky tannins provide structure, but this is much more about the here and now than any sort of cellaring. The fruit persists through the finish, joined by hints of herbs and bacon. Drink now–2020.",The Lodge Hill,90,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2014 The Lodge Hill Shiraz (Clare Valley),Shiraz,Jim Barry,#471669
+104235,Australia,"It's been some time since Katnook last submitted samples, so it's reassuring to see that quality there remains high. This medium-bodied Cabernet boasts crisp acids and fine tannins, highlighting notes of red currants, olives and bay leaves. Drink now–2025.",Founder's Block,90,35.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Katnook Estate 2014 Founder's Block Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Katnook Estate,#471163
+104236,Australia,"Free of restrictive appellation contrôlée regulations, Chapoutier's Australian team blends 85% Viognier and 15% Marsanne in this intense, concentrated white. Yellow plums and grilled pineapple notes aren't exceeding complex, but offer plenty of enjoyment, finishing ripe, rich and long. Drink now.",Mathilda,90,16.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Tournon by Michel Chapoutier 2014 Mathilda White (Victoria),Rhône-style White Blend,Tournon by Michel Chapoutier,#4FC369
+104382,Australia,"A unique blend of spice and blueberry sets this Shiraz apart from the pack, and it pulls away even further due to a lush, creamy texture and long, mouthcoating finish. There's great purity to the fruit, but enough peppery spice for complexity. Drink now–2016.",Single Vineyard,91,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2006 Single Vineyard Shiraz (McLaren Vale),Shiraz,Yangarra Estate Vineyard,#471669
+104383,Australia,"The price keeps creeping up, but at least this is one Australian wine that consistently delivers vintage after vintage. The 2004 offers classic aromas of cassis, cinnamon and clove, with a touch of cracked pepper for good measure. It's full-bodied without going overboard, with a rich texture and a long, clean finish filled with complex spice notes. Good now, should be even better in 10 years.",Stonewell,91,90.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2004 Stonewell Shiraz (Barossa),Shiraz,Peter Lehmann,#471669
+104424,Australia,"A different vintage from the odd-numbered ones surrounding it, 2014 yielded wines of less ripeness and intensity. Despite that, this is a fine effort, offering overtones of green peppercorns, dried spices and fresh herbs over tart pie-cherry and cranberry fruit. It's taut and focused, silky without being soft. Drink 2020–2030.",The Moorooduc McIntyre,91,65.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Moorooduc 2014 The Moorooduc McIntyre Pinot Noir (Mornington Peninsula),Pinot Noir,Moorooduc,#414286
+104726,Australia,"There's a slightly scorched character to this wine that I had a tough time getting past. There's solid plummy fruit, but also recurring hints of freshly sawn lumber and burnt coffee. It's full bodied, with plenty of astringent tannins, so it might age past this current stage, and it's possible this rating could look stingy in a few years.",The Coppermine Road,86,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Coppermine Road Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,D'Arenberg,#471163
+104772,Australia,"This easy-to-drink blend of 50% Shiraz, 35% Cabernet Sauvignon and 15% Petit Verdot starts off jammy, with black cherry liqueur and clove notes before settling down and developing some interesting peach and mocha nuances. The persistent finish, lined with velvety tannins, makes it stand out from the crowd. Best Buy. —J.C.",Scrubby Rise,87,10.0,South Australia,Fleurieu Peninsula,,Joe Czerwinski,@JoeCz,Wirra Wirra 2000 Scrubby Rise Red (Fleurieu Peninsula),Red Blend,Wirra Wirra,#3F4788
+104775,Australia,"Shows nice complexity in its aromas of cherry, vanilla, soy sauce, leather and meat, then fills the mouth with supple cherry fruit that carries a hints of medicinal herbs. Finishes with tart cherries and a slight lactic note. —J.C.",,87,22.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Tatachilla 1999 Shiraz (McLaren Vale),Shiraz,Tatachilla,#471669
+104778,Australia,"A tart, chalky finish suggests a couple years of cellaring would help this flavorful wine blossom because the other ingredients are already in place: Black pepper and eucalyptus   add complexity to the blackberry aromas and flavors. —J.C.",,87,27.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Warrabilla 2000 Shiraz (Rutherglen),Shiraz,Warrabilla,#471669
+104779,Australia,"This baby has aromas of just-picked ripe plums, boysenberries,and a peppery-chocolatey note that shows up on the palate. It's dry, clean and sharp, and it's a lot of fun. —S.H.",,87,10.0,Australia Other,South Eastern Australia,,,,Yangarra Park 2001 Shiraz (South Eastern Australia),Shiraz,Yangarra Park,#471669
+104786,Australia,"What's nice about this wine is the acidity: It burns; it sparkles; it makes your mouth water and prepares it for yummy food. It's not all about fruit, oak and lees—a meal in itself. The flavors are of apples and peaches dusted with pepper and cinnamon. —S.H.",,87,9.0,Australia Other,South Eastern Australia,,,,Arunda 2000 Chardonnay (South Eastern Australia),Chardonnay,Arunda,#440154
+104787,Australia,"Filled with bright, bouncy cherry-berry fruit and imbued with a slightly viscous mouthfeel, this fun, gulpable Shiraz won't break the bank. Its easygoing nature makes it worth having on hand for your next barbecue. —J.C.",Diamond Label,87,12.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Rosemount 2001 Diamond Label Shiraz (South Eastern Australia),Shiraz,Rosemount,#471669
+104868,Australia,"Full bodied and supple, this wine shows an interesting array of sensory notes for Barossa Shiraz, with notes ranging from espresso, tar, mint and green peppercorn to dark chocolate and blueberry. Finishes long and softly dusty, suggesting the ability to age through 2020, although it's very drinkable now.",The Château 100 Year Old Vines,93,100.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Château Tanunda 2009 The Château 100 Year Old Vines Shiraz (Barossa),Shiraz,Château Tanunda,#471669
+105041,Australia,"Prickly refers to the wine's texture, which is definitely lightly frizzante (spritzy). That helps boost the wine's aromas, making it perfumed and floral, even Muscat-like. It's light in body and slightly off dry, with notes of apricot, apple blossom and gingery spice. Drink now.",Prickly,87,11.0,Victoria,Alpine Valleys,,Joe Czerwinski,@JoeCz,Frisk 2015 Prickly Riesling (Alpine Valleys),Riesling,Frisk,#443982
+105285,Australia,"Starts off a bit leathery and lacking fruit, but somewhere along the way raspberries start folding into the otherwise savory mix of leather and black olives. Medium in body, turning tart and tea-like on the finish. Drink now-2012.",d'Arry's Original,85,19.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2005 d'Arry's Original Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,D'Arenberg,#2D6E8E
+105290,Australia,"Streamlined and tart, this is a citrusy version of Chardonnay that showcases unadorned lemon and pineapple flavors.",Single Vineyard Unoaked,85,15.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2007 Single Vineyard Unoaked Chardonnay (McLaren Vale),Chardonnay,Yangarra Estate Vineyard,#440154
+105861,Australia,"As might be expected from winemaker Roman Bratasiuk, this is a full-bodied, rich Syrah, loaded with dark scents of roast coffee, blueberries and baking spices. Blueberry, menthol and spice flavors dominate the palate, finishing long. Despite the massive richness, there's plenty of elegance, too. Imported by Wine Brokers Unlimited.",Hickinbotham,93,110.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2005 Hickinbotham Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+105866,Australia,"Already approachable, Mitolo's 2006 G.A.M. should nevertheless age 10–15 years. The aromas are slightly peppery and spicy, accented by hints of smoke, while the flavors are dark and savory, blending cedar, coffee, black olive and cola. The soft tannins amply frame the long, mouthwatering finish.",G.A.M.,92,50.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2006 G.A.M. Shiraz (McLaren Vale),Shiraz,Mitolo,#471669
+105879,Australia,"Like all of the Clarendon Hills wines, this is packed with intensity. It's full-bodied, with soft tannins and a slightly low-acid, natural feel. Aromas of menthol and roasted meat are backed by hints of blackberry and licorice on the palate and a long, lingering finish. Drink now–2020. Imported by Wine Brokers Unlimited.",Piggott Range,92,165.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2005 Piggott Range Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+106251,Australia,"Redolent with melon and pineapple, this medium-bodied unoaked Chardonnay is simple, fruity and clean, with a tart, citrusy finish. Drink now.",Unwooded,85,18.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Chapel Hill 2008 Unwooded Chardonnay (South Australia),Chardonnay,Chapel Hill,#440154
+106336,Australia,"One of Yarra's first wave of modern-day wineries, Warramate was founded in 1970, which means this comes from Pinot Noir vines that can legitimately be called old. The style is resolutely traditional, with crisp acids and a wiry backbone the standout features. Cedary oak further frames tart cherry fruit, which finishes long and crisp. Drink from 2018 through until 2025.",,91,35.43766346992153,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Warramate 2012 Pinot Noir (Yarra Valley),Pinot Noir,Warramate,#414286
+106426,Australia,"Straightforward Australian Shiraz, combining mulberry fruit with vanilla oak. It lacks richness and expansiveness on the palate. A solid effort, but a bit of a disappointment given the history of the label and the suggested pricing.",Classic Clare,86,45.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Leasingham 2005 Classic Clare Shiraz (Clare Valley),Shiraz,Leasingham,#471669
+106494,Australia,"Lean and crisp in style, this is citrusy through and through. Although a bit one-dimensional, it's clean and refreshing, with a pleasantly affordable price tag.",,85,11.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2009 Chardonnay (Barossa),Chardonnay,Peter Lehmann,#440154
+106599,Australia,"Smells and tastes slightly sour, with simple flavors of pineapple and citrus that finish with a tart edge.",Unoaked,83,11.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Bush Bike 2005 Unoaked Chardonnay (Western Australia),Chardonnay,Bush Bike,#440154
+106604,Australia,"Despite plenty of weight in the mouth, this wine's simple apple and lime flavors are surprisingly crisp, turning nearly sour-lemony on the finish. Imported by Walca International.",,83,12.0,South Australia,Adelaide Plains,,Joe Czerwinski,@JoeCz,Red Earth 2007 Chardonnay (Adelaide Plains),Chardonnay,Red Earth,#440154
+106724,Australia,"This is less opulent and full bodied than most Australian Viogniers, but it still delivers an attractive blend of white peaches, citrus and baking spices. It's crisp and bright enough on the finish to handle a wide range of seafood dishes. Drink now.",Generation Series Mrs.,90,29.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,Mr. Riggs 2013 Generation Series Mrs. Viognier (Adelaide),Viognier,Mr. Riggs,#45347F
+106725,Australia,"This crisp, medium-bodied wine showcases Cabernet's hallmark cassis fruit. Sure, there are hints of cranberry, raspberry and cherry, but black currant defines this wine, running from start to finish. Dusty tannins swirl gently on the palate, combining with tart acidity to offer just the right amount of structure. Drink now–2025.",,90,40.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2012 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Vasse Felix,#471163
+106918,Australia,"From young vines, this is a somewhat austere, ungenerous rendering of Pinot Noir. The tannins are a bit drying, offsetting the attractive flavors of cola, plum and fresh minty herbs.",Massale,87,38.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Kooyong 2015 Massale Pinot Noir (Mornington Peninsula),Pinot Noir,Kooyong,#414286
+106968,Australia,"In so-called Penfolds years, when the stars align for the company, smart money is on the Bin series of wines like this Bin 407 Cabernet. It comes close to the luxury Bin 707 Cabernet in terms of quality, but at a much lower price, boasting ample body and velvety tannins. Hints of cedar, mint and mocha accent concentrated cassis and plum flavors. Drink now–2018.",Bin 407,92,33.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2008 Bin 407 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Penfolds,#471163
+106971,Australia,"Clarendon Hills is best known for its Syrah and Grenache, but it is no slouch when it comes to McLaren Vale Cabernet. The 2008 Hickinbotham is full bodied and velvety in texture, with ample notes of cocoa and crisp cassis. Hints of mint and other herbal shadings give it varietal character and welcome complexity. Drink it over the next 10–12 years.",Hickinbotham,92,50.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2008 Hickinbotham Cabernet Sauvignon (Clarendon),Cabernet Sauvignon,Clarendon Hills,#471163
+106985,Australia,"Lush and creamy on the palate, this complex wine boasts flavors of slightly mossy, decaying cedar, molasses, damp earth and leather, all wrapped around a bright core of red berry. Supple and lasting on the finish. Drink now–2020.",Eastside,91,28.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pikes 2007 Eastside Shiraz (Clare Valley),Shiraz,Pikes,#471669
+107228,Australia,"Like so many unwooded Chardonnays, this is a medium-bodied, pleasantly fruit-forward wine that's clean, simple and direct. Tangerine scents lead into flavors of mixed citrus and a crisp finish. Drink now.",Unwooded,86,17.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2011 Unwooded Chardonnay (Western Australia),Chardonnay,West Cape Howe,#440154
+107338,Australia,"This isn't the biggest, baddest Cabernet. Instead, it's more of a charmer—lithe and crisp. Cherries and dried herbs on the nose add hints of earth and pepper on the palate, then finish with a gentle wash of dusty tannins. Drink now–2018.",The Y Series,88,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2013 The Y Series Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Yalumba,#471163
+107392,Australia,"This reflects the Yarra region's Pinot Noir character well, combining earthy, cola- and beet-scented notes with well-ripened tannins and medium body. There's a fair bit of textural richness for such a modestly priced Pinot. Drink now.",,88,20.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Innocent Bystander 2013 Pinot Noir (Yarra Valley),Pinot Noir,Innocent Bystander,#414286
+107457,Australia,"Nearing maturity, this is a full-bodied, rich Chardonnay despite weighing in at only 12.5% abv. Scents of custard-meringue pie become more pungent and savory with air, adding hints of roasted mushrooms, smoke and maybe even some bacon fat. The flavors are savory yet the fruit remains, culminating in a long, ripe-citrus finish.",The Pennant Hand Selected Limited Release,94,50.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2011 The Pennant Hand Selected Limited Release Chardonnay (Margaret River),Chardonnay,Robert Oatley,#440154
+107532,Australia,"This wine combines notes of melon and candied apple with hints of pepper and ginger. Despite its modest alcohol level, it seems weighty, and even a bit sweet, then finishes on a mouthwatering, spicy note.",Emily May Pinot Noir,86,25.0,South Australia,,,Joe Czerwinski,@JoeCz,Koonara 2016 Emily May Pinot Noir Rosé,Rosé,Koonara,#450558
+107570,Australia,"Petit Verdot is a character actor who's never really grabbed the spotlight for itself, but makes an interesting appearance now and again. This McLaren Vale example is oaky but backed by ample plum and cassis fruit and framed by tannins that seem soft for the variety. Cedar and spice come through on the finish. Drink now.",The Phantom,88,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Gemtree 2008 The Phantom Petit Verdot (McLaren Vale),Petit Verdot,Gemtree,#F3E51E
+107571,Australia,"Wakefield is a reliable producer of Clare Valley wines, and the Chard is no exception. Toasted nuts mingle easily alongside grilled pineapple and peach notes, and the almost plush texture of this wine gives it another dimension. Contains 4% Viognier. Drink now.",,88,17.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wakefield 2008 Chardonnay (South Australia),Chardonnay,Wakefield,#440154
+107576,Australia,"This is a bit chunkier and less suave than De Bortoli's more expensive estate bottled Shiraz-Viognier, but it's still a very nice wine. Peppery spice marks the nose, while the flavors feature a nice blend of plum with savory notes of coffee and black olives. Drink now–2015.",Gulf Station,88,20.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2008 Gulf Station Shiraz-Viognier (Yarra Valley),Shiraz-Viognier,De Bortoli,#462F7C
+107584,Australia,"This medium- to full-bodied Shiraz features a welcoming mix of mulberries and vanilla, overtaken by cedary flavors on the finish, where the fruit turns crisp. A slab of charred steak would match the woody notes nicely. Drink now–2013.",Shotfire,88,24.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Thorn Clarke 2008 Shotfire Shiraz (Barossa),Shiraz,Thorn Clarke,#471669
+107662,Australia,"At less than 14% abv, this reflects a growing sensibility within Barossa. It's a medium- to full-bodied wine with supple tannins and a refreshing, moreish finish. Cinnamon and mocha notes hang from plummy fruit. Drink now–2020.",,90,17.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Piping Shrike 2014 Shiraz (Barossa),Shiraz,Piping Shrike,#471669
+107718,Australia,"A good wine at a good price, the 2006 Jim-Jim Shiraz offers bouncy raspberry fruit, hints of cracked pepper and vanilla and a medium-bodied, reasonably lush mouthfeel. Multiple U.S. importers.",Jim Jim,86,12.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hugh Hamilton 2005 Jim Jim Shiraz (McLaren Vale),Shiraz,Hugh Hamilton,#471669
+107783,Australia,"A bit unyielding on the nose, then the palate shows rather tight and citrusy flavors. Yet there's ample weight on the palate and a long, fresh finish tinged with hard peaches and pineapple. This seemingly contradictory wine just needs some time to develop; try after 2009.",No. 11,90,30.0,New South Wales,Orange,,Joe Czerwinski,@JoeCz,Philip Shaw 2006 No. 11 Chardonnay (Orange),Chardonnay,Philip Shaw,#440154
+107798,Australia,"Wines like this are why Yarra Valley has achieved a certain reputation for Chardonnay. It starts off with wonderfully complex aromas of spring flowers, honey, ripe peaches and citrus fruits, then crams honeyed hints of truffle and oranges into a full-bodied but dry expression of the grape.Finishes elegantly, with a dusting of dried spices.",,90,35.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yeringberg 2005 Chardonnay (Yarra Valley),Chardonnay,Yeringberg,#440154
+107844,Australia,"This release is always among my favorite Aussie Rieslings. Not only is the quality consistent, the price for a nearing-maturity wine makes it a winning value. It is smoky and toasty on the nose, showing off those developed aromas to good effect against a background of bergamot-tinged fruit. The round patina of age is balanced by great acid drive and a long, mouthwatering finish. Drink now–2020.",The Contours Museum Reserve,93,32.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Pewsey Vale 2010 The Contours Museum Reserve Riesling (Eden Valley),Riesling,Pewsey Vale,#443982
+107846,Australia,"This wine starts off with an appetizing, savory, grilled-meat element on the nose, then showcases flavors of dark chocolate, mocha and plum. It's hefty on the palate, with a velvety texture and long, rich finish. Drink now–2027.",Cuthbert Amery Vineyard,93,60.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kay Brothers 2012 Cuthbert Amery Vineyard Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Kay Brothers,#471163
+107849,Australia,"From a single vineyard planted in 1908, this Semillon is just entering its window of drinkability, where it should remain for at least another 10 years. Scents of fresh lime juice and grilled toast lead the way, backed by flavors of limes and mandarin oranges. It's medium in body, plump yet tightly focused, with a lengthy finish full of toast and citrus zest.",HVD,93,47.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Tyrrell's 2010 HVD Semillon (Hunter Valley),Sémillon,Tyrrell's,#2C728E
+107982,Australia,"Wakefield was founded as a Cabernet producer, so it's no surprise that the 2009 is a very good drop. The cassis fruit carries a slightly herbal tinge, with hints of coffee and vanilla helping to frame the fruit. It's lush and velvety in texture, making it drinkable now and over the next several years.",,88,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2009 Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+107999,Australia,"Mitolo's top Shiraz offering from 2007 is its Savitar bottling, from McLaren Vale. This full-bodied, creamy, lush, expansive wine features aromas of toast and vanilla upfront, followed by mixed berries that seem to grow in intensity with every sip. Drink now-2020.",Savitar,93,75.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2007 Savitar Shiraz (McLaren Vale),Shiraz,Mitolo,#471669
+108260,Australia,"This light- to medium-bodied Shiraz is crisp and tart, yet also shows some dried-fruit character on the finish.",Masterpeace,83,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Andrew Peace 2009 Masterpeace Shiraz (South Eastern Australia),Shiraz,Andrew Peace,#471669
+108287,Australia,"This starts off slightly rubbery, but comes around quickly enough to display ample white grapefruit and pith notes. It's a bit tight and austere from start to finish; probably at its best with seafood.",,84,13.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Hope Estate 2009 Verdelho (Hunter Valley),Verdelho,Hope Estate,#277D8E
+108292,Australia,"This is a nutty, almondy rendition of Roussanne, almost to the extent of veiling the remaining pineapple-tinged fruit. It's broad in the mouth and soft in texture, with a trace of warmth on the finish.",,84,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Yangarra Estate Vineyard 2009 Roussanne (McLaren Vale),Roussanne,Yangarra Estate Vineyard,#40BD72
+108570,Australia,"Despite being priced as an entry-level blend, this doesn't show much in the way of forward fruit. Instead, it's grippy and tough, with a veneer of dry, woody tannins over flavors of vanilla, cedar and cinnamon.",Terra Barossa Shiraz-Cabernet-Petit Verdot,83,15.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Thorn Clarke 2013 Terra Barossa Shiraz-Cabernet-Petit Verdot Red (Barossa),Red Blend,Thorn Clarke,#3F4788
+108661,Australia,"Having earned its reputation as one of Australia's finest Chardonnays, the challenge is then to maintain that level of quality. The 2010 Art Series certainly does that. Enticing aromas of woodsmoke, peach and pink grapefruit give way to intense flavors of citrus and stone fruit on the palate. It's full bodied, yet with great focus and length, ending crisply despite the wine's inherent richness. Drink now–2020, perhaps longer.",Art Series,94,89.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2010 Art Series Chardonnay (Margaret River),Chardonnay,Leeuwin Estate,#440154
+108665,Australia,"Like virtually all of Penfolds' top-end reds, this is full bodied and densely concentrated. As it's aged solely in large vats, there's no oak influence and the wine needs a bit of bottle age to come around. For now, it's a bit monolithic, showing hints of mint, black olive and ripe raspberries before ending long and fine. Drink 2017–2030, and perhaps beyond.",St. Henri,94,65.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2008 St. Henri Shiraz (South Australia),Shiraz,Penfolds,#471669
+108965,Australia,"Hints of pungent boxwood mark the nose of this lean, narrowly constructed wine. The flavors are grassier, “rounded out” by tart citrus and green tomato notes. Drink now.",The Y Series,85,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2014 The Y Series Sauvignon Blanc (South Australia),Sauvignon Blanc,Yalumba,#482172
+108973,Australia,"Nicely rendered, with varietally correct aromas of pear, citrus and almond skin. There's a bit of texture to this wine's medium-bodied palate before it eases into a clean, mouthwatering finish.",,85,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Bulletin Place 2015 Pinot Grigio (South Eastern Australia),Pinot Grigio,Bulletin Place,#423D84
+109085,Australia,"This medium-bodied Barossa blend displays supple tannins and a silky finish, making it immediately accessible. Hints of smoke and sweat and complexity to the currant aromas and flavors.",Clancy's - Shiraz - Cabernet Sauvignon - Merlot,87,16.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2007 Clancy's - Shiraz - Cabernet Sauvignon - Merlot Red (Barossa),Red Blend,Peter Lehmann,#3F4788
+109265,Australia,"Is there any doubt that 2012 is a superb vintage for South Australian Shiraz? Here's another fine example, boasting sumptuous levels of black cherry fruit framed by hints of brown sugar, roasted meat, cinnamon and allspice. It's full-bodied and richly textured, with a long, velvety finish. Drink 2018–2030.",The Devil's Whiskers,91,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kangarilla Road 2012 The Devil's Whiskers Shiraz (McLaren Vale),Shiraz,Kangarilla Road,#471669
+109282,Australia,"This tiny winery burst on the scene when its 2010 Cabernet scooped three trophies at the Margaret River Wine Show. This wine does show more weight and richness than the 2012, with a silky, satiny texture rarely found in young Cabernet Sauvignon and crisp, cassis-inflected fruit. Drink now–2030.",,91,250.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cloudburst 2011 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Cloudburst,#471163
+109347,Australia,"A pretty, light-weight wine that offers up smoky, herbal scents along with almost ephemeral wisps of red fruit. It's dry and delicate; a waif-like Pinot that could benefit from a little more flesh. —J.C.",,85,25.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,T'Gallant 2000 Pinot Noir (Mornington Peninsula),Pinot Noir,T'Gallant,#414286
+109352,Australia,"This round, soft, alcoholic wine deserves praise for its spicy-peppery warmth and abundant cherry fruit. Those same qualities are also its biggest shortcoming: The low acidity and high alcohol make it seem a bit heavy. —J.C",Cornucopia,85,13.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Temple Bruer 1998 Cornucopia Grenache (Langhorne Creek),Grenache,Temple Bruer,#481C6E
+109354,Australia,"You expected fruity, flowery flavors? A little sweetness? Then go someplace else. This wine is one of the driest of the year, and offers no relief at all from alcohol and other winey compounds. If there's a single, solitary flavor, it's watered down lemon juice. But it might be pretty good with clams on the half shell. —S.H.",Y Series,85,10.0,South Australia,South Australia,,,,Yalumba 2001 Y Series Riesling (South Australia),Riesling,Yalumba,#443982
+109356,Australia,"Packed with grapey, plummy fruit, smoke and vanilla, this is solid entry-level stuff. It's not particularly rich or concentrated, but it is something that's uncommon at this price: balanced. That makes it an attractive by-the-glass option or barbecue companion. —J.C.",Barossa Vines,85,11.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Grant Burge 2000 Barossa Vines Shiraz (Barossa Valley),Shiraz,Grant Burge,#471669
+109379,Australia,"A nicely textured if somewhat oaky Pinot Noir, with cherry fruit that just sufficient to support the plush coating of vanilla and cedar. Long and layered but oaky on the finish. Drink now and over the next couple of years.",,89,22.0,Victoria,Beechworth,,Joe Czerwinski,@JoeCz,Brokenwood 2010 Pinot Noir (Beechworth),Pinot Noir,Brokenwood,#414286
+109385,Australia,"This is very close in quality to the winery's reserve bottling, boasting fully ripe cherry-berry fruit made complex by hints of vanilla and button mushroom. It's supple, silky and lingering on the finish, marked by lingering notes of vanilla and berry. Drink now.",,89,20.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2010 Pinot Noir (Yarra Valley),Pinot Noir,Yering Station,#414286
+109434,Australia,"D'Arenberg's lineup of single-vineyard Shirazes is especially impressive in the 2010 vintage, and this was one of my favorites. The aromas are tight, nearly impenetrable at first, then only stubbornly yielding hints of graphite, but the mouthfeel is expansive and richly textured. Aristocratic notes of pencil shavings balance supple tannins and layers of dark fruit, concluding in espresso and chocolate on the finish. Drink now–2030.",The Swinging Malaysian Single Vineyard,96,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Swinging Malaysian Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+109541,Australia,"This wine eschews the current trends and sticks to its full-blown guns, remaining a broad, lush and creamy-textured wine, with open, inviting aromas of peach, cashew and pineapple. It's richly nutty and tropical at the same time, offering layers of complexity and depth to be enjoyed over the next several years.",,94,125.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Giaconda 2008 Chardonnay (Victoria),Chardonnay,Giaconda,#440154
+109815,Australia,"A lively, medium-bodied dry red for casual meals, this is a good example of Australian Sangiovese. Red berry fruit is backed by crisp acids and firmish tannins, making this a good candidate to pair with burgers or pizza. It's 85% Sangiovese, with the balance Merlot and Shiraz.",The Mongrel Sangiovese Blend,87,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hugh Hamilton 2009 The Mongrel Sangiovese Blend Sangiovese (McLaren Vale),Sangiovese,Hugh Hamilton,#1E978A
+109875,Australia,"This is a medium-bodied Riesling that seems destined for rather early consumption, as it lacks the fine edge of acidity that distinguishes age-worthy examples. Apple and lime flavors are tinged with gingery spice on the finish.",Reserve Dry,86,13.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Jacob's Creek 2010 Reserve Dry Riesling (Barossa),Riesling,Jacob's Creek,#443982
+109921,Australia,"From vines that were 171 years old when the grapes for this wine were harvested, this is packed with dark berry fruit, then layered with vanilla, cedar and mint. It's full, plush and warm, just too big, intense and bulky for current consumption. Best from 2020–2030.",The Freedom 1843,93,150.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2014 The Freedom 1843 Shiraz (Barossa),Shiraz,Langmeil,#471669
+109940,Australia,"Wakefield (known as Taylor's in Australia) was founded as a Cabernet-focused estate. While the range has expanded over time, Cabernet Sauvignon remains a strength. Brown sugar and cedar frame cassis fruit on the nose; the palate shows just enough juicy, mouthwatering fruit to support the ample oak. This is full bodied yet supple, with crisp acids showing on the finish.",St Andrews,93,60.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2014 St Andrews Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+109942,Australia,"This is firm, dusty and seemingly built for the cellar. Toasty, cedary and chocolaty oak frames dark fruit, yet it remains fresh in character, not dried or overripe. The finish is long, tannic and reminiscent of fine Bordeaux. Try after 2020.",,93,43.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2013 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Vasse Felix,#471163
+109997,Australia,"Mixed berries, cracked pepper and baking spices mark the nose of this red, a blend of 52% Shiraz with 48% Cabernet. It's full bodied and supple on the palate, with spice notes accenting mulberry and cherry leading into a softly dusty finish tinged with cocoa. Drink now through 2020.",Spice Trader,89,17.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Heartland 2014 Spice Trader Shiraz-Cabernet Sauvignon (Langhorne Creek),Shiraz-Cabernet Sauvignon,Heartland,#460B5E
+110000,Australia,"Shiraz (60%), Cabernet Sauvignon (28%) and Malbec (12%) combine in this medium-bodied silky-textured blend. Hints of eucalyptus linger around the margins, while the core of the wine features raspberry and cherry fruit. It's soft and easy to drink, and made for near-term consumption.",The Broad-side,88,17.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Bleasdale 2014 The Broad-side Red (Langhorne Creek),Red Blend,Bleasdale,#3F4788
+110017,Australia,"This full-bodied Shiraz is muscular yet supple, with soft tannins framing dark, savory notes of sour plum, black olive and brown sugar. The long finish adds mocha and roasted meat nuances to the complex mix. Drink now–2025.",M Reserve,92,50.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Henry's Drive Vignerons 2009 M Reserve Shiraz (Padthaway),Shiraz,Henry's Drive Vignerons,#471669
+110028,Australia,"This intriguing effort starts off a bit odd, hinting at scents of maple syrup, mint and tomato. Thankfully, it quickly rights itself, morphing into a complex herbal mélange laced with mocha and plum. There's a sense of restraint to it on the midpalate, but then a surge of vibrancy on the long, velvety finish. Ready to drink.",Noble Baron,92,50.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Château Tanunda 2009 Noble Baron Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Château Tanunda,#471163
+110202,Australia,"Melon and pineapple fruit flavors offer something a little different from other white varieties, and while the wine is full and round in the mouth, it remains focused on the finish, a touch of honey balanced by citrusy notes. Drink now.",,87,14.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,Shoofly 2008 Viognier (Adelaide),Viognier,Shoofly,#45347F
+110221,Australia,"Despite the reasonable price tag, this is a very good bottle of Cabernet, the kind that should be poured by the glass at your local steakhouse. The mixed berry and cedar flavors are easy to like, and it has enough crisp acidity and silky tannin to stand up to rare beef without being overly heavy or rich.",Deen De Bortoli Vat 9,87,13.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,De Bortoli 2008 Deen De Bortoli Vat 9 Cabernet Sauvignon (Australia),Cabernet Sauvignon,De Bortoli,#471163
+110376,Australia,"This style of Barossa Semillon is a far cry from that practiced in the Hunter Valley. This version is medium to full bodied, with waxy, pineapple notes and a crisp, linear finish that features just a hint of honey. Drink now.",Woodcutter's,89,18.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2013 Woodcutter's Semillon (Barossa Valley),Sémillon,Torbreck,#2C728E
+110377,Australia,"This is an unusually firm, structured Pinot Noir for $20. Floral notes and hints of ripe cherries mark the nose, while the flavors feature cherry and vanilla. Probably best paired with slightly fatty or rich dishes, like roast pork.",,89,20.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Innocent Bystander 2015 Pinot Noir (Yarra Valley),Pinot Noir,Innocent Bystander,#414286
+110384,Australia,"Well-known winemaker Ben Riggs deserves credit for this wine, which balances sugar and acid so deftly that it's hard to tell if this is off-dry or just genuinely fruit-ripe. It's a fuller style than many Australian Rieslings, but pulls it off, packing in lemon-lime and honey notes. The finish is long and textured, just to the point of balanced bitterness. Ready to drink.",,89,17.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Thomas Goss 2016 Riesling (Adelaide Hills),Riesling,Thomas Goss,#443982
+110518,Australia,"This is the sort of stereotypical Aussie Shiraz the haters love to hate. It's full-bodied, warm and plush, oozing with blackberries and plums and loaded up with vanilla and mocha. Yet it's well done, inexpensive and just plain delicious. Drink now–2020.",,90,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Paringa 2015 Shiraz (South Australia),Shiraz,Paringa,#471669
+110534,Australia,"Lime sherbet and wet-stone aromas are classic for the variety and region. This is a light- to medium-bodied wine, dry, with high acidity that drives it through a long, zesty finish. Drink it now with raw oysters or ceviche, or cellar it another five years to develop greater weight and complexity.",Mort's Block,90,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2015 Mort's Block Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+110771,Australia,"This inexpensive wine is relatively low in alcohol and reasonably refreshing, although pear, melon and pineapple flavors leave a slightly sweet impression on the palate. Drink now.",,85,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Yellow Tail 2015 Pinot Grigio (South Eastern Australia),Pinot Grigio,Yellow Tail,#423D84
+110778,Australia,"Pretty decent for a 10-spot, with slightly floral aromas, a hint of ginger and underripe pear fruit. It's medium bodied, with a dry, lightly textured, bitter finish. Drink now.",,85,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2016 Pinot Grigio (South Australia),Pinot Grigio,Oxford Landing,#423D84
+111004,Australia,"This solid red has deep currant and toasty oak aromas. It opens to rich dark berry, plum and leather flavors with Asian spice accents. The mouthfeel is creamy, almost syrupy, and it shows some vanilla, spice, and a tart-sweetness on the finish.",Koonunga Hill,87,15.0,Australia Other,South Eastern Australia,,,,Penfolds 1999 Koonunga Hill Shiraz-Cabernet Sauvignon (South Eastern Australia),Shiraz-Cabernet Sauvignon,Penfolds,#460B5E
+111049,Australia,"Once thought to be Albariño, this grape variety is actually native to France's Jura. In this example from South Australia, it's a lean, crisp white, with hints of pencil shavings that accent its grapefruity flavors. It's pretty, harmonious and a good all-around white for drinking over the next 6–9 months.",The Love Symbol Single Site Savignin Blanc,87,15.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Zonte's Footstep 2010 The Love Symbol Single Site Savignin Blanc Savagnin (Langhorne Creek),Savagnin,Zonte's Footstep,#B5DD2B
+111176,Australia,"Has peach, banana and vanilla aromas on the nose; palate shows light yellow fruit, plus a sour peach-pit note, both of which continue through to the finish. Body is medium, with some viscosity.",,84,15.0,South Australia,McLaren Vale,,,,Chateau Reynella 2001 Chardonnay (McLaren Vale),Chardonnay,Chateau Reynella,#440154
+111182,Australia,"Unusual nectarine and tangerine flavors are accented by some ginger, but make no mistake—there's still lots of wood-derived cream and butter here, particularly on the nose and on the finish.",,84,17.0,South Australia,Coonawarra,,,,Katnook Estate 2000 Chardonnay (Coonawarra),Chardonnay,Katnook Estate,#440154
+111184,Australia,It tastes like it smells—like lots of toast and butterscotch. Palate also offers some yellow fruit and an a fresh herbal streak (or maybe it's pine needles?). The same herbal note shows again on the finish.,,84,19.0,South Australia,Adelaide Hills,,,,Starvedog Lane 2000 Chardonnay (Adelaide Hills),Chardonnay,Starvedog Lane,#440154
+111191,Australia,"Palate offers sweet but simple yellow fruit flavors, particularly peach and banana. Finishes with peach pit and caramel flavors. What's here is fine, but better concentration would have merited it a better score.",,84,16.0,Victoria,Yarra Valley,,,,Yarra Burn 2000 Chardonnay (Yarra Valley),Chardonnay,Yarra Burn,#440154
+111201,Australia,"This medium-bodied Grenache features vanilla and raspberry compote on the nose. It's a smooth, if not particularly textural wine, with berry flavors and hints of toast that fall away on the finish. Drink now.",Prodigal,88,30.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2009 Prodigal Grenache (Clare Valley),Grenache,Kilikanoon,#481C6E
+111210,Australia,"This crisp, delicate Pinot Noir should be consumed over the next few years for its elegant cherry and rose petal notes and silky tannins. Hints of scorched earth and dry leaves add extra interest to the reasonably complex bouquet.",Applejack Vineyard,88,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2011 Applejack Vineyard Pinot Noir (Yarra Valley),Pinot Noir,Giant Steps,#414286
+111270,Australia,"Full bodied and richly tannic, Lehmann's 2006 Mentor is dark, chocolaty and intense, with further nuances of cassis and cigar box. The finish is chewy and juicy, simultaneously drying and mouthwatering. Drink 2015–2023.",Mentor,92,38.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2006 Mentor Cabernet Sauvignon (Barossa),Cabernet Sauvignon,Peter Lehmann,#471163
+111390,Australia,"Peaches and white flowers make for a very seductive first act. The full-bodied palate lacks a bit of concentration but offers up appealing notes of canned peaches, pears and apricots. Slightly short but tasty finish. Drink now.",The Loose Cannon,86,16.0,South Australia,McLaren Vale,,,,Hugh Hamilton 2007 The Loose Cannon Viognier (McLaren Vale),Viognier,Hugh Hamilton,#45347F
+111402,Australia,"Chiseled and spunky, this slightly older Riesling shows complex slate, lime zest and wet stone notes on the nose while intense stone fruits dominate the palate. Drink now.",,85,11.0,Western Australia,Western Australia,,,,Bush Bike 2005 Riesling (Western Australia),Riesling,Bush Bike,#443982
+111405,Australia,"An entry-level label for Coriole, the 2005 Redstone Shiraz features slightly earthy aromas combined with scents of dusty wood and modest blackberries. The tannins are a bit gripping on the finish; this wine might benefit from a year or two of bottle age.",Redstone,85,20.0,South Australia,McLaren Vale,,,,Coriole 2005 Redstone Shiraz (McLaren Vale),Shiraz,Coriole,#471669
+111597,Australia,"An excellent value, the 2010 Shotfire Shiraz offers bold, punched-up cherry-berry fruit framed by hints of vanilla, dried herbs and cracked pepper. It's a big wine that's reasonably creamy in texture, with plenty of mouthcoating flavor on the finish. Drink it over the next few years.",Shotfire,90,22.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Thorn Clarke 2010 Shotfire Shiraz (Barossa),Shiraz,Thorn Clarke,#471669
+111655,Australia,"This is a bright, medium-bodied blend of 65% Shiraz, 31% Cabernet Sauvignon and 4% Malbec. Herbal notes on the nose suggest mint, thyme and bay leaf, layered over hints of cassis and red berries. Not overly tannic, this is a drink-now proposition.",The Barry Bros,87,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2015 The Barry Bros Red (Clare Valley),Red Blend,Jim Barry,#3F4788
+112081,Australia,"This affordable bottling offers intensely concentrated fruit nicely accented by hints of cedar and mocha. The tart, mixed-berry flavors are crisp and mouth-watering, finished off by a dusting of cocoa powder on the finish.",Metricup Road,88,15.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Evans & Tate 2010 Metricup Road Shiraz (Margaret River),Shiraz,Evans & Tate,#471669
+112130,Australia,"This medium-bodied white features attractive scents of lime zest and pineapple. On the palate, the flavors veer toward apple and citrus, which fade rapidly on the finish. Drink now.",Single-Site,87,15.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Zonte's Footstep 2009 Single-Site Verdelho (Langhorne Creek),Verdelho,Zonte's Footstep,#277D8E
+112389,Australia,"On the quiet side for a Grenache, with reticent notes of spice, sangria and cassis. There's the faintest grip of tannin and a crisp, strawberry-inflected finish. Drink now.",The Custodian,88,19.0,South Australia,McLaren Vale,,,,D'Arenberg 2007 The Custodian Grenache (McLaren Vale),Grenache,D'Arenberg,#481C6E
+112398,Australia,This blend of 66% Shiraz and 34% Cabernet Sauvignon has an appealing green pepper edge that provides a lift to the intense berry and toast notes that float on a soft carpet of tannins. Solid length and definition. Drink now or hold a few years for more complexity.,Red Bucket,87,15.0,South Australia,South Australia,,,,Longview 2007 Red Bucket Shiraz-Cabernet Sauvignon (South Australia),Shiraz-Cabernet Sauvignon,Longview,#460B5E
+112399,Australia,"Now in its maturity, the 2006 Tahbilk Viognier shows developed notes of roses, herbal tea and grain while still evincing a youthful expression of fresh pine needles. It's concentrated, broad and viscous with a medium, hay-flavored finish. Drink now.",,87,14.0,Victoria,Nagambie Lakes,,,,Tahbilk 2006 Viognier (Nagambie Lakes),Viognier,Tahbilk,#45347F
+112461,Australia,"The nose of this wine features some delicately lifted floral scents, but also darker notes of brandied cherries and asphalt. Give it some breathing time to let the tarry notes fade and allow the red cherry and cinnamon red-hot flavors to emerge. Finishes long, mouthwatering and just a touch warming. Drink now–2014.",The Derelict Vineyard,89,29.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2007 The Derelict Vineyard Grenache (McLaren Vale),Grenache,D'Arenberg,#481C6E
+112463,Australia,"Leaving aside the suggestive name and packaging, this is a very soft, almost pillowy-tender 80% Shiraz blend, with a fair bit of complexity. It starts with scents of hickory, cedar and vanilla, adds plum and black cherry fruit, then hints at espresso and black olive on the finish. Drink now.",Playmates,89,22.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Fetish 2008 Playmates Shiraz-Mourvèdre (Barossa),Shiraz-Mourvèdre,Fetish,#FDE724
+112470,Australia,"Mixed aromas of vanilla, Christmas spices and brandied black cherries give an almost dessert-like impression, although the wine is technically dry. The texture is creamy and luxurious, and the wine is very easy to drink despite its considerable weight, balanced by a tart edge of acid on the finish. Drink now–2012.",Luchador,89,19.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,R Wines 2007 Luchador Shiraz (South Australia),Shiraz,R Wines,#471669
+112482,Australia,"The Ironstone Pressings features enough rough edges at this stage to think it will benefit from a few years of cellaring. The tart cherry notes are angular, the tannins a bit chunky, but tea leaf and spice notes provide ample complexity. Try in 2013.",The Ironstone Pressings,89,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2007 The Ironstone Pressings G-S-M (McLaren Vale),G-S-M,D'Arenberg,#26818E
+112850,Australia,"Searching for New World Chardonnay that's restrained, crisp and only 12% abv? Steve Webber at De Bortoli is your man. This medium-bodied Chardonnay displays a hint of custard to its texture, while the flavors are citrus driven and refreshing.",Estate Grown,87,30.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2008 Estate Grown Chardonnay (Yarra Valley),Chardonnay,De Bortoli,#440154
+113027,Australia,"Like most young Hunter Valley Semillons, this is starting out on the neutral, acidic side. Notes of melon and citrus rind only hint at the potential to be found in a few years' time. It's a little weightier than expected, with a silky mouthfeel and a long, gentle, lime-riddled finish.",,90,20.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2015 Semillon (Hunter Valley),Sémillon,Brokenwood,#2C728E
+113029,Australia,"This is a lush, amply oaked wine, brimming with the things that make Margaret River Chardonnay so lovable. Grilled bread and fruit abound, pushing forth peach, pineapple and melon flavors through a soft, espresso-tinged finish. Drink now–2020.",Three Hills,90,50.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Happs 2014 Three Hills Chardonnay (Margaret River),Chardonnay,Happs,#440154
+113055,Australia,"This offers the vinous elements of fruit cocktail, combining hints of peach, pear and citrus in the glass. That fruit mélange tightens up on the finish, reined in by an extra squirt of mouthwatering lime.",,90,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2015 Riesling (Clare Valley),Riesling,Wakefield,#443982
+113119,Australia,"This is a plump, succulent Chardonnay for drinking by the end of 2016. The apple, citrus and pear notes are pretty simple, but clean, with a long, refreshing finish.",Promised Land Unwooded,88,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wakefield 2015 Promised Land Unwooded Chardonnay (South Australia),Chardonnay,Wakefield,#440154
+113154,Australia,"Plum and raspberry fruit, intriguing spice notes reminiscent of allspice and cardamom, and ample weight and suppleness make this bargain-priced offering a winner. Drink now.",Reserve,87,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Gosford 2015 Reserve Shiraz (South Eastern Australia),Shiraz,Gosford,#471669
+113308,Australia,"Aromas of pear and anise pace the nose of this medium-bodied wine. It's a simple, fruit-cocktail-like sipper, with a quick, easy finish and a reasonable price tag. Drink now.",Barker's Lane,85,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Madison Ridge 2014 Barker's Lane Chardonnay (South Eastern Australia),Chardonnay,Madison Ridge,#440154
+113319,Australia,"Wax bean and citrus notes meet dry, woody elements on the nose, but this wine does feature a plump, appealing texture and a soft, easy finish. Drink now.",,83,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Banrock Station 2015 Chardonnay (South Eastern Australia),Chardonnay,Banrock Station,#440154
+113434,Australia,"At 15% alcohol, it does show a trace of warmth on the finish, but this is a full-bodied, richly textured wine of great appeal. Cassis fruit dominates, with hints of cherry, camphor and asphalt adding nuance. Best from 2012–2018.",Ad Lib Mix Master,89,17.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Larry Cherubino 2008 Ad Lib Mix Master Cabernet Sauvignon-Merlot (Margaret River),Cabernet Sauvignon-Merlot,Larry Cherubino,#345F8D
+113438,Australia,"Oatley has sourced the fruit for this wine from way out in Western Australia thousands of miles from his home base, but the results show why it was worth it. The aromas and flavors seamlessly marry fig, melon and pink grapefruit notes, while the wine is mouthfilling and lush without being overweight. Drink it over the next 6–12 months.",,89,16.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Robert Oatley 2009 Sauvignon Blanc (Pemberton),Sauvignon Blanc,Robert Oatley,#482172
+113440,Australia,"This firmly built Merlot shows almost Cabernet-like reserve in its tobacco, cherry and cassis shadings that finish woody, warm and firm. At the moment, the copious oak sits atop the fruit, suggesting at least another 2–3 of cellaring prior to full enjoyment.",Whalebone Vineyard,89,86.0,South Australia,Wrattonbully,,Joe Czerwinski,@JoeCz,TapaNappa 2006 Whalebone Vineyard Merlot (Wrattonbully),Merlot,TapaNappa,#24848D
+113444,Australia,"With the number of really good dessert wines available for under $12 per bottle severely limited, this is a refreshing ray of golden sweetness. Dried apricots add enough citrus pith to partially balance out the intensely sweet flavors. Drink in the lusciousness over the next couple of years.",The Stump Jump Sticky Chardonnay,89,11.0,South Australia,McLaren Vale-Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Stump Jump Sticky Chardonnay Chardonnay (McLaren Vale-Adelaide Hills),Chardonnay,D'Arenberg,#440154
+113469,Australia,"This 95% Grenache rosé is a pale salmon hue. Subtle melon and berry fruit marks the nose, while the palate is medium in body and silky in texture, finishing with mouthwatering acids. Drink now.",,89,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2016 Rosé (Barossa Valley),Rosé,Turkey Flat,#450558
+113518,Australia,"AThe L-Block Shiraz is a broody, powerful beast meant for many years of cellaring. Right now, it shows dense black and red fruit, chocolate, black olive and oak spice. The tannins are big and savory but everything appears to be in balance. It should start to reveal its true colors in several years' time. Drink 2019–2037.",L-Block,90,60.0,Victoria,Pyrenees,,,,Domaine Terlato & Chapoutier 2013 L-Block Shiraz (Pyrenees),Shiraz,Domaine Terlato & Chapoutier,#471669
+113659,Australia,"With only 30 cases imported, you might have to search a little to find this, but if you happen to stumble across some, don't hesitate. It's a very good Pinot Noir, with varietally correct aromas and flavors that range from flowers to cherries, all framed by hints of coffee and vanilla.",Giles,89,45.0,South Australia,Lenswood,,Joe Czerwinski,@JoeCz,Henschke 2006 Giles Pinot Noir (Lenswood),Pinot Noir,Henschke,#414286
+113813,Australia,"Full-bodied and richly textured, this is an example of a savory-style Shiraz, one whose flavors are based on pepper, black olive and meaty notes supported by black- and blueberry fruit and hints of vanilla oak. It's long, warming and complex on the finish. Drink now–2015. Imported by Margaret River Wines.",,90,24.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse River 2003 Shiraz (Margaret River),Shiraz,Vasse River,#471669
+113817,Australia,"At seven years of age, this is a reasonably complex wine, well suited to pair with roasts. The ample oak is integrated with the fruit, yielding a mélange of nuances that include grilled meat, cedar, vanilla, dried spices, coffee, black olives, blackberries and tar. Drink now–2015.",Reserve,90,50.0,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Greg Norman Estates 2001 Reserve Shiraz (Limestone Coast),Shiraz,Greg Norman Estates,#471669
+113818,Australia,"A strong effort for this Penfolds bottling, the 2004 Bin 128 features powerful aromas of chocolate and cassis, then follows up with slightly more nuanced flavors that add brighter berry notes to the mix. Tannins are silky-smooth, suggesting early drinkability, although it should age well until at least 2015.",Bin 128,90,23.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penfolds 2004 Bin 128 Shiraz (Coonawarra),Shiraz,Penfolds,#471669
+114266,Australia,"Featuring some dusty tannins on the finish, this is fairly structured for Aussie Grenache. Dried herbs and dried cherries are balanced by hints of dusty earth on the long finish. Drink 2013–2017.",Blewitt Springs,91,50.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2008 Blewitt Springs Grenache (Clarendon),Grenache,Clarendon Hills,#481C6E
+114271,Australia,"A superb value, this wine's weighty presence and rich texture convey the warmth of the Barossa without ever stepping over into overripeness. Instead, it delivers mixed berry fruit, peppery spice and overtones of vanilla and chocolate. Drink now and over the next few years.",Cat Amongst the Pigeons Nine Lives,91,20.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Rosedale Wines 2009 Cat Amongst the Pigeons Nine Lives Shiraz (Barossa),Shiraz,Rosedale Wines,#471669
+114276,Australia,"Interestingly, Sidewood's 2008 Reserve Shiraz comes in considerably lower in alcohol than the regular bottling. It features a complex interplay of herb, spice and olive that gives it a stylistic resemblance resemblance to northern Rhône Syrahs. The tannins are silky, the finish long and balanced. Drink now–2018.",Reserve,91,24.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2008 Reserve Syrah (Adelaide Hills),Syrah,Sidewood,#287A8E
+114575,Australia,"This wine sees less new oak than many top-of-the-line Shiraz (30%), so it showcases mulberry and black cherry fruit. Sure, there's a hint of vanilla, but the oak plays a suitably supporting role, while the ripe fruit tannins are rich and velvety on the midpalate, then firm up a bit on the finish. Drink 2018–2030.",RSW,92,70.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2012 RSW Shiraz (McLaren Vale),Shiraz,Wirra Wirra,#471669
+114750,Australia,"A subtle smoke component adds nuance to the aromas of peach and pineapple. The flavors match up precisely, adding a touch of marshmallow to the mix. This is fairly full bodied, yet lacks a bit of depth and flesh in its midpalate and finishes warm. Drink now.",Twins,85,25.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Maverick 2013 Twins Chardonnay (Eden Valley),Chardonnay,Maverick,#440154
+114758,Australia,"This is an interesting blend—the proportions are 46% Riesling, 34% Sauvignon Blanc and 20% Marsanne. Passion fruit and white currants notes dominate, with hints of tomato stalk. It does taste slightly off dry, fading quickly on the finish.",The Stump Jump Riesling-Sauvignon Blanc-Marsanne,85,13.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,D'Arenberg 2015 The Stump Jump Riesling-Sauvignon Blanc-Marsanne White (Adelaide),White Blend,D'Arenberg,#32638D
+114768,Australia,"Subtly spiced peaches mark the nose of this medium-bodied, creamy-textured wine. There's a hint of bitterness on the finish that helps counteract the wine's overt fruit sweetness. Drink now.",Butterball,85,35.43766346992153,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Evans & Tate 2014 Butterball Chardonnay (Australia),Chardonnay,Evans & Tate,#440154
+114852,Australia,"Dark amber in color, with some greening evident at the rim, this Tokay features aromas of scorched coffee and Guinness stout-like flavors, but is also sweet, with hints of molasses and raisins. It's a solid effort, representative of its classification.",Grand Muscadelle,91,140.0,Victoria,Rutherglen,,Joe Czerwinski,@JoeCz,Chambers Rosewood Vineyards NV Grand Muscadelle Tokay (Rutherglen),Tokay,Chambers Rosewood Vineyards,#1E9D88
+114877,Australia,"Turkey Flat's Mourvèdre is perennially one of the Barossa's finest. The 2009 is a full-bodied,  creamy-textured example, with flavors of cherries jubilee grounded by savory, meaty notes. A long, mouth-coating finish completes the picture. Drink now–2018.",,92,50.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2009 Mourvèdre (Barossa Valley),Mourvèdre,Turkey Flat,#83D34B
+114926,Australia,"An intense, flavorful rendition of Sauvignon Blanc, this is grapefruity from start to finish, balanced by slightly riper notes of pineapple and a custardy richness to the wine's texture. Pair it with bold fish dishes over the next 6–9 months.",Omrah,90,15.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Plantagenet 2010 Omrah Sauvignon Blanc (Great Southern),Sauvignon Blanc,Plantagenet,#482172
+114930,Australia,"Pronto red is 77% Grenache, with the remainder a blend of Touriga Nacional (11%), Syrah (7%) and Monastrell (5%). It starts off with leather and spice, then folds in cherries and licorice. It's full-bodied, round and slightly warm, with a supple, spice-driven finish. Drink now-2015.",Pronto,90,69.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,S.C. Pannell 2008 Pronto Red (Adelaide),Red Blend,S.C. Pannell,#3F4788
+114940,Australia,"Nicely rounded in texture without being flabby, this is a lively, crisp white wine, well endowed with flavors reminiscent of melon, pear and lime. Perfect to drink now with most seafood dishes, or as an apéritif.",Doctoressa di Lago Single Site,90,15.0,South Australia,Fleurieu Peninsula,,Joe Czerwinski,@JoeCz,Zonte's Footstep 2010 Doctoressa di Lago Single Site Pinot Grigio (Fleurieu Peninsula),Pinot Grigio,Zonte's Footstep,#423D84
+114945,Australia,"This Shiraz does a nice job of balancing its fruit-sweet characters of blackberry and blueberry with savory elements of herbs and green olives. It's full-bodied, warm and creamy-textured, with a warm, chocolaty finish. Drink it now and over the next few years.",Red Silk,90,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Oliverhill 2009 Red Silk Shiraz (McLaren Vale),Shiraz,Oliverhill,#471669
+114953,Australia,"A concentrated, intense wine, filled with cherry-berry fruit and more than a hint of vanilla. It's tart and edgy, with some firm tannins on the finish, so hold it another 12 months and then drink it over the next 5–6 years.",,90,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2008 Syrah (Adelaide Hills),Syrah,Sidewood,#287A8E
+115133,Australia,"Although labeled Shiraz, this wine also includes 10% Petit Verdot and 5% Viognier. Those additions help account for its impressive color and rich mouthfeel. Vanilla and cedar frame mixed berries, yet the wine remains savory and complex, adding hints of black olive, mocha and grilled meat. Drink this dense, full-bodied wine now through 2025.",Moppa,92,34.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Kalleske 2014 Moppa Shiraz (Barossa),Shiraz,Kalleske,#471669
+115265,Australia,"Made from organically farmed vineyards, with native yeast and old barrels, this wine is a melting pot of bright cranberry and raspberry, smoke, toast, florals and sweet herbs. Medium bodied, with silky tannins, and plenty of terroir expression, it's well priced to boot. A win all around.",,90,22.0,Victoria,Bendigo,,,,Fairbank Sutton Grange 2015 Sangiovese (Bendigo),Sangiovese,Fairbank Sutton Grange,#1E978A
+115296,Australia,"Toasted marshmallow aromas lead the way, underscored by hints of white peach, vanilla and citrus. The palate is broad at first, then progressively narrows into tight, crisp notes of lemon and orange zest on the finish.",Heytesbury,89,45.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Vasse Felix 2009 Heytesbury Chardonnay (Margaret River),Chardonnay,Vasse Felix,#440154
+115459,Australia,"Rich, full bodied and plush, with mochaccino-like fruit and plummy notes. This Shiraz is warm and inviting, picking up hints of vanilla and mint along the way. The velvety finish lingers.",,90,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,The Lucky Country 2014 Shiraz (McLaren Vale),Shiraz,The Lucky Country,#471669
+115514,Australia,"Really appealing on the nose, with smoky, meaty scents that give the impression of a Shiraz that's savory, yet packed with fruit. But the wine is less impressive in the mouth; it's soft and cuddley—deliciously ready to drink—without anything apparent in reserve. Drink now.",Waroo,86,18.0,Western Australia,Pemberton,,Joe Czerwinski,@JoeCz,Xavier Flouret 2009 Waroo Shiraz (Pemberton),Shiraz,Xavier Flouret,#471669
+115543,Australia,"Shows some pungent, aggressive Sauvignon aromas that verge on vegetal, then pulls back on the palate, where it develops flavors of melon and nectarine and a slightly creamy texture. This is nicely balanced and easy to like, with a long, nettle-y finish.",,88,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Groom 2008 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Groom,#482172
+115687,Australia,"The blend is 53% Chardonnay, 44% Pinot Noir and 3% Pinot Meunier. The wine is a classic traditional-method sparkler, with modest biscuity notes and understated fruit. It's light to medium in body, with a dry, scouring finish.",Taché Méthode Traditionnelle,87,25.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Taltarni 2010 Taché Méthode Traditionnelle  (South Eastern Australia),Champagne Blend,Taltarni,#30678D
+115688,Australia,"This plump, medium-weight Chardonnay features bright, fleshy pineapple flavors that finish clean and crisp. At this price, you could do a lot worse.",,87,14.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shoofly 2011 Chardonnay (Adelaide Hills),Chardonnay,Shoofly,#440154
+115816,Australia,"Starts off smoky, with meat-like notes, then adds cola, blackberries and spice on the palate. It's round in the mouth, with some dusty tannins and crisp acids on the finish, suggesting a pairing with richer cuts of beef or lamb. Drink now–2012.",,87,14.0,New South Wales,Orange,,Joe Czerwinski,@JoeCz,Climbing 2005 Shiraz (Orange),Shiraz,Climbing,#471669
+115832,Australia,"This is almost confectionery in its fruit sweetness, layering raspberries over black currants in wave after wave. There's a hint of mint as well, ample weight and power on the palate and a long, dusty, tannic finish. Drink now–2030.",Bin 407,91,69.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2014 Bin 407 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Penfolds,#471163
+115841,Australia,"Full bodied and lavishly oaked, this wine boasts gorgeous shadings of brown sugar, clove and cinnamon layered over cassis and red berries. The plush finish lingers, folding in plum and vanilla. Drink now–2023.",,91,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Beresford 2013 Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,Beresford,#471163
+115853,Australia,"This is Cape Mentelle's biggest selling wine in the U.S., and one taste makes it clear why. It's got some of the herbal and passion fruit notes of Sauvignon Blanc, balanced by the strong citrus of Semillon. It's clean, crisp and long on the finish, with a lightly silky texture that lingers. Drink now.",,91,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cape Mentelle 2016 Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Cape Mentelle,#3C4E8A
+116323,Australia,"A plump, well-endowed white that tames Viognier's exuberance with Pinot Gris's restrained aromas. Peach, melon and spice flavors do show some exotic honeysuckle notes that fade quickly on the finish.",Viognier-Pinot Gris,87,17.0,South Australia,Langhorne Creek-Limestone Coast,,,,Heartland 2006 Viognier-Pinot Gris White (Langhorne Creek-Limestone Coast),White Blend,Heartland,#32638D
+116326,Australia,"A nicely balanced red. It's not the richest, deepest wine out there, but it does offer plenty of red plum and raspberry flavors, framed by vanilla-scented oak. It's reasonably long on the finish, too, where the wine picks up attractive cedary accents.",The Ripper!,87,15.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Hope Estate 2005 The Ripper! Shiraz (Western Australia),Shiraz,Hope Estate,#471669
+116330,Australia,"The 2004 vintage favored Cabernet, and that quality has evidently trickled down to this bargain from Penfolds. Hints of brown sugar and raisin on the nose give an impression of great ripeness, but that's balanced by fresh black currant, coffee and black olive flavors. Tannins are supple, but finish on a slightly dusty note, giving the wine enough backbone to pair with steak.",Koonunga Hill,87,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Penfolds 2004 Koonunga Hill Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Penfolds,#471163
+116335,Australia,"This is a classically proportioned Bordeaux blend, featuring 70% Cabernet Sauvignon and 30% Merlot. Mint and cassis aromas pick up shadings of dried herbs and tobacco on the palate, ending with good persistence and a certain degree of elegance. Because of that, serve this wine alongside a roast rather than a big, beefy steak.",,87,15.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Little Rebel 2004 Cabernet Sauvignon-Merlot (Yarra Valley),Cabernet Sauvignon-Merlot,Little Rebel,#345F8D
+116337,Australia,"Ferngrove's entry-level Shiraz includes 5% Viognier, but it avoids any Viognier-derived stone-fruit character, instead yielding up savory spice scents, a hint of mint and ripe blackberry and plum flavors. Tannins are soft, with acid providing the needed structure. Pepper and clove on the finish bring this bargain to a satisfying close. Drink now.",Symbols,87,12.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Ferngrove 2005 Symbols Shiraz-Viognier (Frankland River),Shiraz-Viognier,Ferngrove,#462F7C
+116377,Australia,"With its supple tannins and expansive mouthfeel, this wine has some real positives working for it, but there's also a definite clove and rubber edge to the aromas and the flavors show more leather and spice than fresh fruit. Turns crisp on the finish.",,85,11.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Nine Stones 2005 Shiraz (McLaren Vale),Shiraz,Nine Stones,#471669
+116387,Australia,"Light in body, but fresh and clean, this was a surprise performer in our last round of tastings. Herbal overtones to the cedar, cherry and tobacco notes are correct from a flavor standpoint, but note that this wine doesn't have the stuffing to pair with hearty, traditional Cabernet pairings.",,85,7.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Alice White 2006 Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Alice White,#471163
+116390,Australia,"Reminiscent of some Paso Robles red wines, this superripe Shiraz has some sweetly grassy or alfalfa-like aromas to go alongside blackberry and chocolate flavors that lean toward coffee and caramel on the finish. It's round in the mouth, the tannins ultrasoft; drink now. Imported by Pernod Ricard USA.",Reserve,85,12.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Jacob's Creek 2004 Reserve Shiraz (South Australia),Shiraz,Jacob's Creek,#471669
+116524,Australia,"Dominated by rather simple cherry aromas and flavors, this is a mouthfilling, nicely textured wine that just lacks the complexity to elevate it to the next level. Tart acidity and some warmth on the finish provide a piquant counterpoint to the gobs of fruit. Drink now. Imported by Cellar Door.",Basket Pressed,86,24.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Chateau Reynella 2004 Basket Pressed Grenache (McLaren Vale),Grenache,Chateau Reynella,#481C6E
+116786,Australia,"Like the 2003, this is a big, no-holds-barred Shiraz. The 2005 is packed with cassis and blueberry fruit, framed by chocolate and vanilla notes and finishes with plenty of spicy complexity and some slightly rough tannins. Drink 2010–2020.",Reserve,92,30.0,Victoria,Bendigo,,Joe Czerwinski,@JoeCz,Passing Clouds 2005 Reserve Shiraz (Bendigo),Shiraz,Passing Clouds,#471669
+116879,Australia,"This dark-fruited, full-bodied Shiraz isn't for the faint of heart. Espresso, dark chocolate, roast meat and plum notes come together in a creamy-textured wine that finishes with a tart, hard edge of acidity and a dusting of cocoa powder-like tannins.",Savitar,91,72.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2009 Savitar Shiraz (McLaren Vale),Shiraz,Mitolo,#471669
+116880,Australia,"Yes, the same Jacob's Creek that turns out vast quantities of drink-me-now wines at sub-$10 price points also makes this age-worthy Cabernet from Coonawarra fruit. The 2008 is a harmonious wine, blending notes of cassis, cigar box and vanilla into a richly textured, fairly tannic whole. Give it 4–5 years in the cellar.",St. Hugo,91,35.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Jacob's Creek 2008 St. Hugo Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Jacob's Creek,#471163
+116882,Australia,"The Lodge Hill Dry is a solid performer year-in and year-out. This vintage shows a hint of fuel oil alongside green apple, bergamot and clover notes. It's a fine, medium-bodied dry Riesling that broadens out just a little on the long finish.",The Lodge Hill Dry,91,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2012 The Lodge Hill Dry Riesling (Clare Valley),Riesling,Jim Barry,#443982
+116883,Australia,"Lean and tightly focused, this looks like one for the cellar—try it around 2018 if you can wait. Right now, it shows modest, restrained citrus fruit, hints of wet stone and a wickedly long, sinewy finish.",Mort's Reserve Watervale,91,35.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2011 Mort's Reserve Watervale Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+116886,Australia,"This is floral on the nose, offering up hints of talcum powder and restrained fruit. Yet the apple, cinnamon and lime flavors bust out on the palate before ending in a long, potent, citrusy finish. Drink now or hold up to 10 years.",Hanlin Hill,91,22.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Petaluma 2012 Hanlin Hill Riesling (Clare Valley),Riesling,Petaluma,#443982
+116887,Australia,"Yalumba's western outpost has been steadily improving the quality of its wines, and the 2010 21 Barriques represents its top wine to date. The dark fruit flavors are accented by ample amounts of charred oak, but the fruit ultimately wins out. The result is a very drinkable, silky textured wine with a long, toasty finish. Drink now–2020.",21 Barriques,91,40.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Ringbolt 2010 21 Barriques Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Ringbolt,#471163
+116890,Australia,"Vintage after vintage, this wine impresses for its complexity and balance, and the 2009 won't disappoint on those counts. It may not be the biggest, baddest Dry Red No. 2, but it features blueberry fruit and espresso and black olive shadings, a lovely supple texture and a softly lingering finish. Drink it over the next few years.",Dry Red Wine No. 2,91,95.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yarra Yering 2009 Dry Red Wine No. 2 Shiraz-Viognier (Yarra Valley),Shiraz-Viognier,Yarra Yering,#462F7C
+116895,Australia,"Cullen's 2010 Mangan captures the great potential of the vintage. It's a youthful, juicy mouthful of berry fruit accented with cedar and vanilla oak, but where the wine really shines is its texture, which is richly silky, with a fine dusty quality reminiscent of cocoa powder or ground cinnamon. Drink it now and over the next several years.",Mangan Malbec-Petit Verdot-Merlot,91,46.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2010 Mangan Malbec-Petit Verdot-Merlot Red (Margaret River),Red Blend,Cullen,#3F4788
+116902,Australia,"This is more Cabernet Franc than anything else, but includes some Merlot, Malbec and Cabernet Sauvignon in the blend. One of the region's signature reds, the 2009 offers cherry and cranberry fruit alongside hints of cigar box. It's soft enough to be approachable now, yet remains stuffed with tannin. Try after 2015.",Olmo's Reward,91,55.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2009 Olmo's Reward Red (Frankland River),Bordeaux-style Red Blend,Frankland Estate,#1F938B
+116903,Australia,"The plumpest of Frankland Estate's three single-vineyard bottlings in 2012, Netley Road offers subdued lime and tobacco aromas, then flavors of tangerine and pineapple. It's softer than the others, but displays an attractively chalky element to the textured finish. Drink now–2020.",Netley Road Vineyard,91,35.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2012 Netley Road Vineyard Riesling (Frankland River),Riesling,Frankland Estate,#443982
+116995,Australia,"This pale salmon rosé starts off with scents of crushed stone and underripe stone fruit, then shows riper flavors of plum and peach on the palate before ending on notes of watermelon rind and citrus. Drink up.",Grenache,86,24.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Rogers & Rufus 2013 Grenache Rosé (Barossa),Rosé,Rogers & Rufus,#450558
+117051,Australia,"A blend of northern Barossa and Eden Valley fruit, this is a firm, full-bodied wine. American oak-derived notes of vanilla and cedar frame crisp plum and blackberry fruit, then add dusty notes on the long finish. Drink 2018–2030.",William Randell,93,50.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Thorn Clarke 2012 William Randell Shiraz (Barossa Valley),Shiraz,Thorn Clarke,#471669
+117157,Australia,"Already developed, with hints of toast and marmalade on the nose and showing baked apple and citrus flavors on the palate. This plump, medium-bodied Riesling finishes with a touch of honeyed softness, suggesting it should be consumed over the next year.",The Lost Watch,85,18.0,South Australia,Adelaide,,Joe Czerwinski,@JoeCz,Wirra Wirra 2008 The Lost Watch Riesling (Adelaide),Riesling,Wirra Wirra,#443982
+117168,Australia,"This is mainly Semillon and Sauvignon Blanc, with 25% Chardonnay and 9% Pinot Gris to round out the midpalate. Apple and citrus flavors dominate, and there is a certain plumpness to the wine but it retains its essentially citrusy character throughout.",Tilly's Vineyard,85,35.43766346992153,South Australia,Barossa-Adelaide Hills,,Joe Czerwinski,@JoeCz,Henschke 2008 Tilly's Vineyard White (Barossa-Adelaide Hills),White Blend,Henschke,#32638D
+117354,Australia,"Black licorice, raisiny fruit and a little sweaty oak are the name of the game here. Acidity on the palate is searing and tannins are soft, not giving quite enough support. The fruit is on the sour side and the oak a little bitter.",3 Sisters & A Brother,87,17.0,South Australia,Barossa Valley,,,,Moorooroo 2015 3 Sisters & A Brother Shiraz (Barossa Valley),Shiraz,Moorooroo,#471669
+117355,Australia,"This win is dense and dusty, with ripe ripe red and black fruit, meat and earth. The palate follows with fine-grained tannins and bright acidity. A plush, powerful Shiraz.",The Gaffer,87,26.0,South Australia,McLaren Vale,,,,Mr. Riggs 2015 The Gaffer Shiraz (McLaren Vale),Shiraz,Mr. Riggs,#471669
+117366,Australia,"Rich and toasty in style, this has notes of ripe tropical fruits, figs, toffee and green herbs. The oak is prevalent and at times a bit too loud.",Beginning,87,25.0,South Australia,Adelaide Hills,,,,The Lane 2015 Beginning Chardonnay (Adelaide Hills),Chardonnay,The Lane,#440154
+117533,Australia,"Wet stone and lemon-lime. If those sound good to you, this ageworthy Riesling is a fit for you. It's medium in body yet very crisp and linear in structure, with a hint of citrus pith on the finish. Drink 2015–2020.",The Lodge Hill Dry,90,18.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2011 The Lodge Hill Dry Riesling (Clare Valley),Riesling,Jim Barry,#443982
+117568,Australia,"Daryl Groom has turned out a reasonably bold, intense Sauvignon Blanc that weighs in under 13% alcohol yet manages to avoid tasting malnourished or underripe. Fig, melon and citrus aromas and flavors hit the right buttons, then finish on a lingering note. Drink now.",,90,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Groom 2007 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Groom,#482172
+117586,Australia,"It's dark and inky in color and concentration, filled with superripe blackberry and plum fruit edged in chocolate and mint, but it seems to lack a bit of richness and texture on the midpalate despite its 15.2% alcohol. Ends with vanilla and tangy fruit and a touch of warmth. Drink now–2015.",Lily's Garden,89,60.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Two Hands 2006 Lily's Garden Shiraz (McLaren Vale),Shiraz,Two Hands,#471669
+117698,Australia,"Strawberry and watermelon come together in this tart, medium-bodied dry rosé. The juicy red fruit doesn't offer much complexity, but is refreshing and easy to drink.",The Y Series Sangiovese,87,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2011 The Y Series Sangiovese Rosé (South Australia),Rosé,Yalumba,#450558
+117711,Australia,"This wine's flamboyant aromas of passion fruit and cut grass are unfortunately not quite matched on the palate, where the flavors are more restrained. It's medium in body and rather lean, with a crisp, fully dry finish. The blend is 69% Sauvignon Blanc, 31% Semillon.",Siblings,87,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2010 Siblings Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Leeuwin Estate,#3C4E8A
+117992,Australia,"A terrific value in sparkling wine, this slightly copper-tinged bubbly features classy aromas of dried thyme, citrus and apple. On the light-bodied palate, there's a hint of creaminess and the merest suggestion of strawberry, although apple and citrus dominate. A great option for summer entertaining.",T Series Chardonnay-Pinot Noir-Pinot Meunier,89,13.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Taltarni NV T Series Chardonnay-Pinot Noir-Pinot Meunier Sparkling (Australia),Sparkling Blend,Taltarni,#38578C
+118129,Australia,"This isn't overly flashy or pungent on the nose, but does show some Sauvignon-like notes of green onion and white grapefruit. In the mouth, it's crisp and lean, with flavors of grapefruit and underripe pineapple that hint at wet stone on the finish. Drink now.",Lopresti Block 10 Vineyard,88,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wit's End 2016 Lopresti Block 10 Vineyard Vermentino (McLaren Vale),Vermentino,Wit's End,#69CC5B
+118133,Australia,"This is a pretty lean, ungenerous version of Pinot Gris. Wet stone and citrus aromas are promising, while the medium-bodied palate delivers lime and underripe stone fruit.",,84,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2015 Pinot Gris (Clare Valley),Pinot Gris,Wakefield,#23888D
+118134,Australia,"Despite moderate alcohol, this is full-bodied and almost sweet-tasting. Hints of dairy products combine with orange and pineapple flavors on the thickly textured palate.",,84,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Half Mile Creek 2014 Chardonnay (South Eastern Australia),Chardonnay,Half Mile Creek,#440154
+118137,Australia,"Call me traditional, but 100% American oak (roughly one-third new) doesn't quite harmonize with sparkling Shiraz, at least in this instance. It's given a sappy, resiny, almost hoppy character that lingers on the palate, marrying uneasily with the black cherry fruit.",Miss Molly,83,28.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mollydooker NV Miss Molly Sparkling (McLaren Vale),Sparkling Blend,Mollydooker,#38578C
+118144,Australia,"What a big difference a year can make on the Mornington Peninsula, which juts daringly out into the Southern Ocean near Melbourne. This is lightweight and tart, revealing hints of decaying leaves, fruit reminiscent of pie cherries and virtually no tannin.",Robinson Vineyard,83,55.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Moorooduc 2011 Robinson Vineyard Pinot Noir (Mornington Peninsula),Pinot Noir,Moorooduc,#414286
+118146,Australia,"This is appropriately light to medium in body, with a tart, crisp finish, but also shows some slightly Sherried aromas and tired fruit.",The Prologue Sparkling Pinot Noir-Chardonnay,83,25.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Lambert 2014 The Prologue Sparkling Pinot Noir-Chardonnay  (Barossa Valley),Champagne Blend,Lambert,#30678D
+118156,Australia,"Let me confess upfront: creamed corn was one of my favorite side dishes when I was a child. That said, it's not something I like in my wine, and this medium-bodied Chardonnay shows an excess of those sweet corn and lactic aromas and flavors.",Single Vineyard,82,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Beresford 2013 Single Vineyard Chardonnay (McLaren Vale),Chardonnay,Beresford,#440154
+118401,Australia,"This is really lean and tightly focused, seemingly built for aging—or for drinking young with raw oysters. Complex aromas of damp moss and petrichor give way to simpler flavors of mixed citrus that finish long and tart. Drink now–2025.",Isolation Ridge Vineyard,90,40.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Frankland Estate 2013 Isolation Ridge Vineyard Riesling (Frankland River),Riesling,Frankland Estate,#443982
+118404,Australia,"This reasonably full-bodied Chardonnay manages to retain a sense of freshness and crispness throughout. Subtle oak and vanilla notes frame peach and pineapple fruit, while the finish is long and citrusy clean.",Tarraford Vineyard,90,42.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Giant Steps 2013 Tarraford Vineyard Chardonnay (Yarra Valley),Chardonnay,Giant Steps,#440154
+118603,Australia,"This Chard comes down on the citrusy side of things, with just enough nectarine flavors to round out the more angular lemon and lime notes. It's medium-bodied, but boasts plenty of acidity to give it zest on the finish.",Blue Cow,86,19.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Longview 2006 Blue Cow Chardonnay (Adelaide Hills),Chardonnay,Longview,#440154
+118605,Australia,"A good value, this Chardonnay delivers plenty of mouthfilling flavor for the price. Pineapple and melon fruit is tinged with a touch of mint, and while the flavors may be somewhat simple, at least they're assertive.",Circle Collection,86,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Jindalee 2007 Circle Collection Chardonnay (South Eastern Australia),Chardonnay,Jindalee,#440154
+118611,Australia,"Don't let a slight hint of burnt-match aroma bother you—just decant this wine to aerate it before serving. Crisp apple, pineapple and citrus flavors are fresh and straightforward, showing decent length and intensity.",Unwooded,86,15.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,West Cape Howe 2006 Unwooded Chardonnay (Western Australia),Chardonnay,West Cape Howe,#440154
+118721,Australia,"With its pungent scents of cracked pepper and potent berry aromas, this is not a shy Shiraz. On the palate, it delivers an intriguing blend of vanilla and berries, marked by more sauvage elements of peppercorn and grilled beef, all wrapped in a sturdy, well built package of ample weight, adequate acidity and dusty tannins. Drink now–2020. Imported by Tom Eddy Wines.",The Yard Acacia Vineyard,92,40.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Larry Cherubino 2006 The Yard Acacia Vineyard Shiraz (Western Australia),Shiraz,Larry Cherubino,#471669
+118797,Australia,"There's three words you need to know to understand this wine: vanilla, vanilla and vanilla. Sure, there are some hints of coffee, and just enough plummy, blackberry fruit to support the heavy-handed oak, but this is Shiraz of a distinct style. If you like lavishly oaked wines, this one is for you.",Principals,89,40.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Old School 2004 Principals Shiraz (Barossa Valley),Shiraz,Old School,#471669
+118804,Australia,"Blended with 15% from the Mornington Peninsula, this is a medium-bodied, supple Shiraz with enough crisp acidity for balance. The aromas are dark and loamy, but the palate surprises with red raspberries and darker, earthier, meatier undercurrents. Drink 2010–2018.",,89,19.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Cooralook 2004 Shiraz (Heathcote),Shiraz,Cooralook,#471669
+118809,Australia,"This winery always seem to offer a more European style of Shiraz, combining slightly earthy, dusty notes with savory hints of spiced meat and fresh dark-berried fruit. The 2004 shows a fair amount of complexity allied to firm tannins and crisp acids, and will probably require another 4–5 years to show its best.",Langi,89,60.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Mount Langi Ghiran 2004 Langi Shiraz (Victoria),Shiraz,Mount Langi Ghiran,#471669
+118828,Australia,"Medium-bodied, crisp and firmly tannic, this Cabernet still needs a few years to come into full bloom. Cassis, leather and vanilla notes merge together on the finish, joined by dusty tannins. Cellar until 2020.",The Coppermine Road,91,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 The Coppermine Road Cabernet Sauvignon (McLaren Vale),Cabernet Sauvignon,D'Arenberg,#471163
+119029,Australia,"This plush, full-bodied Cabernet comes across as slightly Shiraz-like, but still represents good value for $15. Smoky, toasty notes of charred oak frame black olive and cola notes, while some red fruit does peek through from time to time. Drink this ready-to-drink Cabernet through 2020.",Alexanders Vineyard,88,15.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Franklin Tate 2013 Alexanders Vineyard Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Franklin Tate,#471163
+119032,Australia,"This longtime favorite seems to have gotten sweeter over the years, and I think it's about reached its limit, as there's just enough acidity for a semblance of balance. Floral notes of roses and berries burst from the glass, while the flavors feature juicy summer berries and a hint of chocolate.",Moscato Rosé,88,14.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Innocent Bystander 2016 Moscato Rosé Sparkling (Victoria),Sparkling Blend,Innocent Bystander,#38578C
+119039,Australia,"This Cabernet Sauvignon is already approachable. It's full bodied and supple, showing a little lightening at the rim. Cherry, earth and herbal notes take on hints of anise and chocolate on the finish. Drink now–2020.",The Pugilist,88,16.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,One Chain 2015 The Pugilist Cabernet Sauvignon (Langhorne Creek),Cabernet Sauvignon,One Chain,#471163
+119043,Australia,"This wine offers impressive quality for the price, combining hints of toasted hazelnuts with white peaches and pineapple. It's medium-bodied and crisp, with refreshing, citrusy acids on the finish. Drink now–2020.",,88,15.0,New South Wales,Tumbarumba,,Joe Czerwinski,@JoeCz,McWilliam's 2014 Chardonnay (Tumbarumba),Chardonnay,McWilliam's,#440154
+119051,Australia,"Made in a deliberately moderate-alcohol style, this is a medium-bodied wine with no bells or whistles. Leafy notes hint at fresh greens, while the flavors are more green fig and white grapefruit. Drink now for zesty refreshment.",Lu Lu,88,15.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Hewitson 2016 Lu Lu Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Hewitson,#482172
+119252,Australia,"On the nose, this has a high-toned tang that distracts slightly from its other scents of vanilla and raspberry. On the full-bodied palate, a crunchy mix of red and black fruit comes to the fore, but deep, savory notes of espresso and black olive emerge on the finish.",Green's Vineyard,91,70.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2010 Green's Vineyard Shiraz (Barossa Valley),Shiraz,Kilikanoon,#471669
+119253,Australia,"Considered on their own, d'Arenberg's 2011 single-vineyard Shirazes are successful, although they lack some of the pizzazz of the 2010s. This was one of my favorites, teeming with pepper-tinged blueberries and accented by hints of roasted meat and espresso. It's full bodied and richly textured, with a long, velvety finish.",The Other Side Single Vineyard,91,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 The Other Side Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+119254,Australia,"Somewhat restrained yet undeniably potent, this wine boasts a lovely blend of cassis, cinnamon and cedar. It's medium to full in body, with a long, dusty finish. Drink now–2025.",The Swinging Malaysian Single Vineyard,91,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 The Swinging Malaysian Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+119273,Australia,"The Bull continues to offer reasonably good value, featuring bold fruit aromas and plenty of flavor intensity for the price. Cassis and tobacco are the main elements, dressed up by hints of mint, coffee and chocolate and framed by some firm, slightly rough tannins. A solid steakhouse red.",,87,18.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Angus The Bull 2006 Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Angus The Bull,#471163
+119325,Australia,"Hints of lemon curd and struck flint emerge from they lass, while the palate reveals flavors of apple, pear and citrus. With its pared-back flavors and restrained nature, this medium-bodied Chardonnay should prove versatile at the table. Drink now–2016.",,88,25.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Heggies Vineyard 2011 Chardonnay (Eden Valley),Chardonnay,Heggies Vineyard,#440154
+119478,Australia,"The darkening color and honeyed, butterscotch-like aromas suggest a wine that is entering decline. There's still enough peach and mango fruit to give it some interest, but drink up.",,83,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Gumdale 2010 Chardonnay (South Eastern Australia),Chardonnay,Gumdale,#440154
+119542,Australia,"A strong effort from Cimicky, the 2008 Trumps displays ample complexity in its hints of chocolate, coffee, cedar, blueberries and baking spices, then puts all of that in a soft, creamy, mouthfilling package tinged with licorice on the finish. Drink now.",Trumps,90,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Charles Cimicky 2008 Trumps Shiraz (Barossa Valley),Shiraz,Charles Cimicky,#471669
+119544,Australia,"A reliable offering over the past few vintages, this is a medium- to full-bodied Cabernet brimming with cedar, plum and mocha. It's muscular enough to pair with steak, or to cellar for a couple of years.",,90,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,9 Mile Road 2008 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,9 Mile Road,#471163
+119697,Australia,"John Duval (ex Penfolds) has finally released a varietal Grenache, a wine that's quite different from the blends and Shirazes he's done up until this point. This is supple, full in body and round, without the firm structural elements his wines typically possess. Dare I say it's hedonistic? Black cherry and cinnamon notes are juicy and mouthwatering on the long finish. Drink now–2020.",Annexus,92,60.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,John Duval Wines 2013 Annexus Grenache (Barossa),Grenache,John Duval Wines,#481C6E
+119811,Australia,"Understated plum, earth and spice aromas give an indication that this is not a casual, fruity Grenache. It is warm and supple, yet features enough dried-spice complexity to merit slow sipping and even savoring the lingering finish.",The Magnet Generation Series,90,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mr. Riggs 2014 The Magnet Generation Series Grenache (McLaren Vale),Grenache,Mr. Riggs,#481C6E
+119966,Australia,"This is full and richly textured without being overdone. Crushed stone and cracked pepper aromatics give it a nose that resembles some Northern Rhône examples, while the fruit is earthier and tinged with blackberries, then finishes with dusty tannins. Drink now–2020.",Mathilda,91,15.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Tournon by Michel Chapoutier 2013 Mathilda Shiraz (Victoria),Shiraz,Tournon by Michel Chapoutier,#471669
+120027,Australia,"This classic Barossa Shiraz is full bodied and lush, with velvety tannins and a long, mocha-tinged finish. Cedar and vanilla notes frame mixed berry fruit—raspberries and blackberries. Drink now–2025.",Blackwell,94,39.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,St Hallett 2012 Blackwell Shiraz (Barossa),Shiraz,St Hallett,#471669
+120175,Australia,"Smoky, pungent and earthy, with cola and plum notes that fill the mouth, then turn crisp on the finish.",,84,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2007 Merlot (South Australia),Merlot,Oxford Landing,#24848D
+120212,Australia,"This winery is better known for its Marsanne, but this Viognier is an excellent value. It exudes hints of apricot, pineapple, ginger and honey, coming across rich and creamy on the palate. Despite the heft, it finishes long, framed by mouthwatering acidity.",,92,19.0,Victoria,Nagambie Lakes,,Joe Czerwinski,@JoeCz,Tahbilk 2014 Viognier (Nagambie Lakes),Viognier,Tahbilk,#45347F
+120236,Australia,"Based in Clare Valley, Wakefield sources this fruit from the cooler Adelaide Hills. Attractive rose-petal and dry earth aromas lead the way, followed by notes of black cherries and licorice on the palate. It's a bit full-bodied and muscular, a Pinot more for steak than salmon.",,90,17.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Wakefield 2013 Pinot Noir (Adelaide Hills),Pinot Noir,Wakefield,#414286
+120335,Australia,"This rather chunky example of Tasmanian Pinot Noir isn't typical of the genre, but impresses for its bold black-cherry fruit. Some menthol-like notes give it a slightly medicinal quality, but the persistent finish and fine tannins more than compensate. Drink this idiosyncratic effort over the next 4–5 years.",,89,29.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Frogmore Creek 2007 Pinot Noir (Tasmania),Pinot Noir,Frogmore Creek,#414286
+120337,Australia,"This full-bodied, even slightly viscous, effort from Penfolds displays dark notes of blackberry and chocolate on the nose, then adds touches of coffee and black olive into the mix on the palate before finishing tangy and crisp. Drink now–2016.",Bin 2,89,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2008 Bin 2 Shiraz-Mourvèdre (South Australia),Shiraz-Mourvèdre,Penfolds,#FDE724
+120521,Australia,"The Baker's Gully Syrah is the entry-level offering from Clarendon Hills, but it remains a very good wine. It's medium to full in weight, with some alcoholic warmth and hints of slightly raisined fruit, yet charms for its velvety-soft tannins and aromas of chocolate and baking spices. Drink now.",Baker's Gully,89,50.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2008 Baker's Gully Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+120526,Australia,"This is a good value in the plush superripe style of Cabernet that seems to be popular these days. The velvety mouthfeel easily carries bold vanilla and plum flavors over the palate, partly balanced by a savory-spicy element. Drink now.",Book Ends,89,22.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,West Cape Howe 2008 Book Ends Cabernet Sauvignon (Great Southern),Cabernet Sauvignon,West Cape Howe,#471163
+120538,Australia,"When a producer renowned for its red wines can turn out an elegant, understated white of this quality, you know Australian Chardonnay has firmly arrived. Subtle accents of toasted nuts frame citrusy fruit, and while the wine is full-bodied and round in the mouth, it remains focused and long and on the finish. If you're fortunate enough to get some of the 600 bottles imported, drink the wine over the next couple of years.",White Label,91,32.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Wolf Blass 2010 White Label Chardonnay (Adelaide Hills),Chardonnay,Wolf Blass,#440154
+120543,Australia,"A mature, mossy (in a good way) Shiraz, this seamlessly blends cedar and vanilla shadings with dark berry notes. It's medium to full in body, with solidly savory and earthy underpinnings that make it especially easy to match with food. Drink now–2018.",8 Songs,91,38.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Peter Lehmann 2008 8 Songs Shiraz (Barossa),Shiraz,Peter Lehmann,#471669
+120544,Australia,"A terrific value, the 2012 Mount Crawford offer sup a big hit of lime on the nose, but also intriguing brine and talc notes that add extra dimension and complexity. It's a medium-bodied wine with ample texture and a long, layered finish. It may not age as long as some other Eden Valley Rieslings, but it's delicious now, so why wait?",Mount Crawford Single Vineyard,91,15.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Thorn Clarke 2012 Mount Crawford Single Vineyard Riesling (Eden Valley),Riesling,Thorn Clarke,#443982
+120545,Australia,"A terrific value, this blend of 60% Grenache, 20% Mataro and 20% Shiraz features a forward bouquet of slightly jammy mixed berries. The palate showcases vibrant red fruit on a supple bed of tannins, capped off by a savory, tapanade-laden finish that makes it more than a simple fruit bomb. Very silky and drinkable, it's the ultimate wine-bar wine, as the name suggests.",Cuvée Juveniles,91,22.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2010 Cuvée Juveniles Red (Barossa Valley),Rhône-style Red Blend,Torbreck,#2A768E
+120546,Australia,"Made in a supple, immediately approachable style, this is a nicely supple, slightly creamy, almost gulpable red. Raspberry and cherry fruit is buttressed by ample spice, then ends on a lingering note of star anise. Drink now–2018.",,91,37.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2010 Grenache (Barossa Valley),Grenache,Turkey Flat,#481C6E
+120550,Australia,"A terrific value, this 50-50 blend displays gentle oaking and a hint of warm asphalt, just enough to highlight the wine's plum and black cherry fruit. It's full bodied and features a long finish, outlined by wonderfully fine, dusty tannins. Drink now–2018.",d'Arry's Original,91,20.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 d'Arry's Original Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,D'Arenberg,#2D6E8E
+120850,Australia,"This is a fairly big, creamy-textured Chardonnay to consume over the next couple of years. Grilled sweet corn features, but it's backed by ample citrus and peach fruit, and the finish remains crisp and refreshing.",Native Goose,91,24.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Cape Barren 2012 Native Goose Chardonnay (Adelaide Hills),Chardonnay,Cape Barren,#440154
+120852,Australia,"This fits the mold of Clare Valley Riesling perfectly. Struck flint notes give way to bright citrus on the nose, followed up by pineapple, cardamom and cinnamon flavors. It's dry to the point of austerity, framed by a slightly dusty texture, yet boasts mouthwatering acids on the long finish. Drink now–2025, possibly longer.",The Lodge Hill Dry,91,18.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2014 The Lodge Hill Dry Riesling (Clare Valley),Riesling,Jim Barry,#443982
+120860,Australia,"Penfolds' Bin 51 is a perennial winner, although the price has been steadily creeping northward. The 2014 is dry and medium-bodied, but fragrant—think flower-shop greens, gingery spice and citrus—and with a welcome bit of texture on the long finish. It should drink well for 10–15 years.",Bin 51,91,40.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Penfolds 2014 Bin 51 Riesling (Eden Valley),Riesling,Penfolds,#443982
+120861,Australia,"The winery has kindly aged this bottling for you and is charging a relatively small premium for the service, so this is one to snap up if you can find it. Hints of grilled toast, marmalade and honey remain dry on the palate and extend through a long finish. Ready to drink.",The Contours Museum Reserve,91,25.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Pewsey Vale 2009 The Contours Museum Reserve Riesling (Eden Valley),Riesling,Pewsey Vale,#443982
+120874,Australia,"This is a nutty, toasty rendering of Chardonnay. Roasted cashew and cashew-butter notes frame subtle fruit elements reminiscent of white peach or pear. Despite a modest alcohol level, it's reasonably rich in feel and flavor, finishing with flavors of fresh pineapple.",,91,35.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yeringberg 2012 Chardonnay (Yarra Valley),Chardonnay,Yeringberg,#440154
+121435,Australia,"Full-bodied, plush and velvety, this is smothered in fine French and American oak. As a result, the aromas and flavors all tend toward sweet and brown, ranging from brown sugar and maple syrup to mocha and caramel.",Jones Block Single Vineyard,90,40.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Paxton 2013 Jones Block Single Vineyard Shiraz (McLaren Vale),Shiraz,Paxton,#471669
+121458,Australia,"Smells leathery and savory, then folds in ripe, plummy fruit on the mouthfilling palate. Finishes supple and softly dusty. Ready to drink now.",Baby Bush,89,20.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Hewitson 2013 Baby Bush Mourvèdre (Barossa Valley),Mourvèdre,Hewitson,#83D34B
+121504,Australia,"Hints of smoke and white peach mark the nose of this medium-bodied wine. It's a touch less expressive on the palate, but pleasantly plump, with great focus and length on the finish. Drink now–2016.",,90,21.0,Western Australia,Great Southern,,Joe Czerwinski,@JoeCz,Plantagenet 2013 Chardonnay (Great Southern),Chardonnay,Plantagenet,#440154
+121511,Australia,"Mocha and cracked pepper notes accent earthy flavors of black olive and dusty plum. This is full bodied and creamy in texture, with a long, velvety finish that suggests early drinkability, from now through 2020.",The Shipster's Rapture Single Vineyard,90,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 The Shipster's Rapture Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+121512,Australia,"Despite some plum fruit, this single-vineyard Shiraz tracks more to the savory side, blending notes of espresso, earth, roasted meat and black olive. It's full bodied and slightly creamy and dusty in texture, with a long finish.",Tyche's Mustard Single Vineyard,90,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2011 Tyche's Mustard Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+121650,Australia,"This simple, fruity Chardonnay delivers ample pear, melon and peach notes. It's plump, medium bodied and finishes pleasantly crisp and clean. Drink it over the next couple of years.",,87,17.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2012 Chardonnay (Margaret River),Chardonnay,Robert Oatley,#440154
+121663,Australia,"Starts off with scents of apples and citrus, and maintains that fruit-forward focus all the way through. It's medium-bodied, with a slightly creamy midpalate and a touch of lemon custard on the finish.",Unwooded White Label,87,16.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Alkoomi 2007 Unwooded White Label Chardonnay (Frankland River),Chardonnay,Alkoomi,#440154
+121669,Australia,"Plump and fleshy for an unoaked style, with tangerine, lemon and passion fruit notes that finish clean and refreshing. A good summer wine at a fair price. Imported by USA Wine West.",Unoaked,87,12.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,The Wishing Tree 2007 Unoaked Chardonnay (Western Australia),Chardonnay,The Wishing Tree,#440154
+121675,Australia,"This medium-bodied Chardonnay starts off with some slightly nutty-almondy scents that might be mistaken for oak, but on the palate the fruit speaks loud and clear. Pear and lemon flavors ring out the loudest, followed by a refreshingly citrusy finish.",Unwooded,87,17.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Cooralook 2005 Unwooded Chardonnay (Mornington Peninsula),Chardonnay,Cooralook,#440154
+121677,Australia,"Attractively priced, the Sydney Chardonnay from Nine Stones features fresh, citrusy flavors of tangerine and grapefruit, backed by the merest hints of toast and vanilla. It's medium in weight, finishing crisp and with surprising length.",Sydney,87,11.0,New South Wales,New South Wales,,Joe Czerwinski,@JoeCz,Nine Stones 2006 Sydney Chardonnay (New South Wales),Chardonnay,Nine Stones,#440154
+121840,Australia,"This crisp, medium-bodied Pinot Noir features tart cherry and cranberry fruit alongside hints of tomato leaf. Drink now.",,84,13.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Cool Woods 2010 Pinot Noir (Eden Valley),Pinot Noir,Cool Woods,#414286
+121898,Australia,"This is a restrained, even delicate, Pinot Noir, with nuanced aromas of underbrush and barely ripe cherries. It's elegantly proportioned in the mouth, with a silky texture and pretty cherry fruit. At 10,000 cases produced, this should be relatively easy to find even Stateside.",,88,20.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Sticks 2010 Pinot Noir (Yarra Valley),Pinot Noir,Sticks,#414286
+122005,Australia,"Made in an accessible, fruit-forward style, this medium-bodied wine features ample blackberry fruit and just hints of vanilla and cedar. Perhaps because of the Viognier component, it's already supple on the palate, yet the finish displays tart acids and some dusty astringency. Drink now–2020.",Single Vineyard,90,25.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,5OS Project 2012 Single Vineyard Shiraz-Viognier (McLaren Vale),Shiraz-Viognier,5OS Project,#462F7C
+122011,Australia,"Unlike most Australian Rieslings, this one is a bit sweet (off dry, really). Hints of honey and bergamot bring complexity to the ripe, peachy flavors of this muscular wine, finishing with a dusty, tactile sensation. Drink now-2025.",The Dry Dam,90,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2014 The Dry Dam Riesling (McLaren Vale),Riesling,D'Arenberg,#443982
+122074,Australia,"For a wine at seven years of age, this is remarkably undeveloped. Hints of celery leaf and apple accent tart citrus fruit, still mouthwateringly crisp. There's some richness on the palate, but hold through at least 2020 if you prefer mature notes of honey, marmalade and toast.",ILR Reserve,92,48.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2009 ILR Reserve Semillon (Hunter Valley),Sémillon,Brokenwood,#2C728E
+122421,Australia,"Despite this wine's weight and richness, it retains a superb sense of balance and structure. Firm acids and tannins support the blueberry fruit, while savory notes of mocha and roasted meat provide added dimension. Give it a few years in the cellar and drink it from 2015–2025.",Amon-Ra Unfiltered,96,110.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Glaetzer 2010 Amon-Ra Unfiltered Shiraz (Barossa Valley),Shiraz,Glaetzer,#471669
+122430,Australia,"These blends are traditional in Australia—they're just rarely this good. The 26% Cabernet gives great backbone and a sense of restraint to the wine, which might otherwise seem overdone or sloppy. Instead, there's a blend of blueberry and cassis fruit, Port-like spices and a long, dusty finish. Drink 2015–2025, possibly beyond.",Anaperenna,95,80.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Glaetzer 2010 Anaperenna Shiraz-Cabernet Sauvignon (Barossa Valley),Shiraz-Cabernet Sauvignon,Glaetzer,#460B5E
+122488,Australia,"This is clean, refreshing white blend at a realistic price. Grapefruit and fig aromas lead the way, followed by a plump mouthfeel and flavors of ripe fruit. Drink now.",Poacher's Semillon-Sauvignon Blanc-Riesling,88,13.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,St Hallett 2014 Poacher's Semillon-Sauvignon Blanc-Riesling White (Barossa),White Blend,St Hallett,#32638D
+122597,Australia,"Already showing hints of maturity, this plush, open-knit blend of 55% Cabernet Sauvignon, 42% Merlot and 3% Cabernet Franc offers seductive aromas of cigar box, vanilla, mint and saddle leather. No, it's not a fruit-driven wine, but those savory aspects and velvety tannins will pair well with roasts or braises. Drink now–2023.",Ribbon Vale,89,41.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Moss Wood 2011 Ribbon Vale Cabernet Sauvignon-Merlot (Margaret River),Cabernet Sauvignon-Merlot,Moss Wood,#345F8D
+122610,Australia,"Yellow fruit nuances abound in this slightly sweet-tasting offering from an area better known for growing Cabernet. Pear, pineapple and lemon aromas and flavors predominate, finishing with a bit of heat and slightly rough acids.",,84,9.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Wynns Coonawarra Estate 2001 Chardonnay (Coonawarra),Chardonnay,Wynns Coonawarra Estate,#440154
+122611,Australia,"A soft, oaky style, with lots of barrel-char and burnt-sugar aromas backed by lemon and grapefruit. Toasted marshmallow and sautéed pineapple flavors finish gently.",,84,13.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Allandale 2000 Chardonnay (Hunter Valley),Chardonnay,Allandale,#440154
+122614,Australia,"Smells great, mixing lemon meringue pie with pears, vanilla and tropical fruit. So what happened? The midpalate is fat, the flavors are simpler and the finish a touch metallic.",,84,13.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Lindemans 2001 Chardonnay (Padthaway),Chardonnay,Lindemans,#440154
+122620,Australia,"Probably the wine that put Australian Chardonnay on American consumers' maps, the current vintage boasts aromas of creamery butter, tangerine and lime, with a touch of movie-theater popcorn. Soft peach and vanilla flavors finish with spicy oak.",Bin 65,84,9.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Lindemans 2001 Bin 65 Chardonnay (South Eastern Australia),Chardonnay,Lindemans,#440154
+122627,Australia,"The lime, pear and melon aromas and flavors are garnished with just a touch of vanilla. Picks up some vegetal lima bean notes on the palate, and the acids stick out a bit on the finish. Still, it's crisp and clean—and would go down easy after a hot round of golf.",,84,17.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Greg Norman Estates 2000 Chardonnay (Yarra Valley),Chardonnay,Greg Norman Estates,#440154
+122628,Australia,"Big butterscotch—aromas and flavors—come close to drowning out some of the finer nuances of this wine, which include green apples, citrus fruits and dried spices. Spicy oak and tart lemons linger on the finish.",Giants Creek,84,17.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Rosemount 1999 Giants Creek Chardonnay (Hunter Valley),Chardonnay,Rosemount,#440154
+122690,Australia,"Closer in style to a light red wine than a traditional dry rosé, this is dark pink—nearly pomegranate—in color, and boasts hints of leather, berries, dried herbs and white chocolate. Textured and round in the mouth, the only quibble is its relatively quick fade on the finish. Drink now.",Scarlet Ladybird Single Site,88,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Zonte's Footstep 2010 Scarlet Ladybird Single Site Rosé (South Australia),Rosé,Zonte's Footstep,#450558
+122701,Australia,"Clean, crisp and easy to drink, with raspberry fruit accented by subtle wood spice and cedar elements. Tannins are soft, making this a Shiraz to drink now and over the next few years.",Polish Hill River,88,22.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Pauletts 2007 Polish Hill River Shiraz (Clare Valley),Shiraz,Pauletts,#471669
+122702,Australia,"Rosemount's Diamond Label Chardonnay used to be a terrific value, so it is encouraging to see its quality once again on the rise. Smoky notes add complexity to the bold pear and melon fruit in this plump, harmonious wine; drink it over the next few months.",Diamond Label,88,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Rosemount 2009 Diamond Label Chardonnay (South Eastern Australia),Chardonnay,Rosemount,#440154
+122816,Australia,"A 60-40 blend, this full-bodied, creamy textured, lush wine captures the sun of McLaren Vale without taking it too far. Vanilla, licorice and plum notes mark the nose, while the plummy flavors pick up mocha shadings before turning a bit fudge-like on the long, velvety finish. Drink now–2018.",Warboys Vineyard,92,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Angove 2010 Warboys Vineyard Shiraz-Grenache (McLaren Vale),Shiraz-Grenache,Angove,#2D6E8E
+122817,Australia,"After spending 20 months in a mix of French and American oak, this full-bodied Shiraz is imbued with seductive notes of vanilla and baking spices. But there are also plenty of plummy fruit and savory undertones of espresso and roasted meat. It's supple enough to drink now, although it should last through at least 2025.",RSW,92,60.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wirra Wirra 2008 RSW Shiraz (McLaren Vale),Shiraz,Wirra Wirra,#471669
+122818,Australia,"This supple, savory Shiraz is approachable now. Hints of vanilla and black olive accent mixed berry fruit, while the texture is rich and creamy. Meat and mocha take over on the long finish. Drink now–2020.",Old Vine,92,65.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Kaesler 2009 Old Vine Shiraz (Barossa Valley),Shiraz,Kaesler,#471669
+122820,Australia,"How can one not applaud a winery that holds back some of its top Riesling for a museum release at such a reasonable price? Developed honey and cinnamon notes accent citrus fruit, adding weight and richness to the midpalate while still finishing crisp and completely dry. It's drinking well now, but should easily hold another 10 years under its screw cap.",The Contours Museum Reserve,92,25.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Pewsey Vale 2007 The Contours Museum Reserve Riesling (Eden Valley),Riesling,Pewsey Vale,#443982
+122939,Australia,"Full-bodied and plush yet vibrant and imbued with fresh fruit, this is simply superb. The oak is present but never dominant, adding brown sugar and cinnamon elements to blueberry, roasted meat, espresso and black olive notes. A hint of peppery spice also creeps into this impossibly complex wine. The finish combines power, length, freshness and dusty tannins, suggesting that while impressive now, it should age well. Drink now–2030.",The Factor,98,125.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Torbreck 2013 The Factor Shiraz (Barossa Valley),Shiraz,Torbreck,#471669
+123075,Australia,"Epitomizes in many ways the emerging Barossa style, marrying huge fruit and creamy tannins with more restrained oak use. Licorice and peppery spice lead the way, backed by notes of plum, cola and even roasted meat. Lush and long on the finish. Drink now-2020.",Tappa Pass Vineyard Selection,93,75.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Henschke 2005 Tappa Pass Vineyard Selection Shiraz (Barossa),Shiraz,Henschke,#471669
+123090,Australia,"Aged in 100% new French oak, this wine opens with scents of vanilla and pipe tobacco, but also shows a strong core of ripe raspberries. Mixed berries take over on the palate, softly framed by layers of mocha and vanilla. This full-bodied wine's tannins are creamy in texture, just turning ever so slightly dusty on the long finish. Drink now-2023.",M,92,70.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kilikanoon 2006 M Shiraz (McLaren Vale),Shiraz,Kilikanoon,#471669
+123092,Australia,"Full-bodied, lush and velvety, the 2006 Ben Schild Reserve is ready to drink now and over the next 8 years. Hints of espresso and black olive impart complexity to the plum and blueberry fruit, and a licorice note chimes in on the softly textured finish.",Ben Schild Reserve,92,35.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Schild Estate 2006 Ben Schild Reserve Shiraz (Barossa),Shiraz,Schild Estate,#471669
+123130,Australia,"The Ratbag makes for a pleasant, if somewhat generic dry red. Dried fruit and prune notes are complemented by chocolate overtones and the mouthfeel is soft and user-friendly.",The Ratbag,84,18.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Hugh Hamilton 2005 The Ratbag Merlot (McLaren Vale),Merlot,Hugh Hamilton,#24848D
+123136,Australia,"There are some attractive dried-spice notes built into this wine, but on the whole it's dominated by confected, jammy berry fruit. The texture is slightly syrupy, and the wine finishes soft. Despite the impressive moniker, it's an easy, entry-level Shiraz for the casual drinker.",Benchmark,84,15.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Grant Burge 2007 Benchmark Shiraz (South Australia),Shiraz,Grant Burge,#471669
+123143,Australia,"Starts off with scents of black cherry, mocha and a touch of tomato, which intensifies on the palate, picking up a roasted or grilled nuance. It's medium-bodied, silky in texture and pleasantly dry on the finish.",,84,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Madison Ridge 2007 Merlot (South Eastern Australia),Merlot,Madison Ridge,#24848D
+123147,Australia,"For the price, this is a commendable effort, with scents of toast and vanilla layered over modest cherry fruit. The wine is medium bodied and marked by the a fine, soft texture, then finishes on a tart note.",Steeple Jack,84,7.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Ballast Stone Estate Wines 2006 Steeple Jack Merlot (South Australia),Merlot,Ballast Stone Estate Wines,#24848D
+123203,Australia,"This wine displays plenty of weight and an unctuous texture alongside aromas and flavors of toasted nuts. There's also a strange herbal note, elements that are decidedly egg-like, and a long, honeyed finish. File it under “intriguing,” and drink it over the next several months.",French Oak,86,17.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Ozzie-Ba-Ru 2007 French Oak Chardonnay (Hunter Valley),Chardonnay,Ozzie-Ba-Ru,#440154
+123250,Australia,"Impressive for its balance of soft, creamy richness with bright, juicy raspberries. Notes of brown sugar, cinnamon and espresso add a layer of decadence surprising at this price.",Dark Chocolate,90,17.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Chocolate Box 2007 Dark Chocolate Shiraz (Barossa Valley),Shiraz,Chocolate Box,#471669
+123423,Australia,"Lavish vanilla and cedar nearly take over this wine, leaving just enough dark, plummy fruit to peek through, yet the wine remains true to its varietal roots in its silky mouthfeel. A bitter coffee note sneaks in on the finish. Seems ready to drink.",Zdar,87,47.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Josef Chromy 2006 Zdar Pinot Noir (Tasmania),Pinot Noir,Josef Chromy,#414286
+123475,Australia,"The 2006 Chertsey is a blend of 49% Cabernet Sauvignon, 47% Merlot, 4% Cabernet Franc and 100% French oak. The oak's vanilla and cedar notes provide a foundation for the wine's cassis and plum flavors, cosseting them in soft tannins. Drink now–2018.",Chertsey,91,50.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Penley Estate 2006 Chertsey Red (Coonawarra),Bordeaux-style Red Blend,Penley Estate,#1F938B
+123700,Australia,"The Hilltops is a high-altitude (approximately 450 meters above sea level), continental region that's often a good source for value. This wine is crisp, youthful and firm, with hints of baking spices and vanilla accenting pure cassis fruit. Drink 2020–2030.",,90,15.0,New South Wales,Hilltops,,Joe Czerwinski,@JoeCz,McWilliam's 2013 Cabernet Sauvignon (Hilltops),Cabernet Sauvignon,McWilliam's,#471163
+123761,Australia,"Of the three Cherubino 2010 Cabernets, I slightly preferred this one (the blended version), but just by a hair. The nose boasts seductive aromas of cedar, smoke, brown sugar and maple syrup, backed up on the palate by a convergence of chocolaty and meaty flavors that end in a softly dusty finale. Full bodied and supple, it's drinkable now, but should drink well through at least 2020.",,94,54.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cherubino 2010 Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Cherubino,#471163
+123785,Australia,"Sourced from the Wilybrup subregion of Margaret River, this is a full-bodied, creamy-textured Cabernet, readily accessible at five years of age. It's meaty and savory in style, with ample chocolate notes, hints of asphalt and plummy fruit that lead into a long, gently dusty finish. Drink now–2025.",Wilyabrup,93,54.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cherubino 2010 Wilyabrup Cabernet Sauvignon (Margaret River),Cabernet Sauvignon,Cherubino,#471163
+123901,Australia,"Not a lot of American importers bring in Coonawarra Shiraz, as the region is better known for its Cabernet. This is a fine example of the former, offering a hint of eucalyptus or mint alongside vanilla, mocha and raspberries. There's a fine, silky texture and a long supple finish.",,91,35.43766346992153,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Di Giorgio Family Wines 2013 Shiraz (Coonawarra),Shiraz,Di Giorgio Family Wines,#471669
+123935,Australia,"One of the plusses to having a cash-flow brand like Yellow Tail in the portfolio is that it gives the owners the opportunity to properly age their high-end wines prior to release. At 10 years old, this has acquired a veneer of silkiness and elegance that enfolds the cassis and red-currant fruit. There's no shortage of smoky, vanilla and brown-sugar inflected oak either. Drink now–2025.",1919,93,100.0,South Australia,Wrattonbully,,Joe Czerwinski,@JoeCz,Casella 2007 1919 Cabernet Sauvignon (Wrattonbully),Cabernet Sauvignon,Casella,#471163
+123955,Australia,"Full-bodied and rich, this is a traditional style of Barossa Shiraz, aged in American oak hogsheads. Faint menthol or dill notes and plenty of vanilla frame plum and mulberry fruit, while hints of green peppercorn and maple syrup add interest to the long finish. Drink now–2030.",Ron Thorn Single Vineyard,93,89.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Thorn Clarke 2014 Ron Thorn Single Vineyard Shiraz (Barossa),Shiraz,Thorn Clarke,#471669
+123956,Australia,"Only released in top vintages, this is Jim Barry's luxury cuvée of Cabenet Sauvignon. It does see plenty of oak, so it shows impressive notes of baking spices, vanilla and brown sugar, but it backs those with ample dark fruit. It's elegant despite its size, with a fine-grained tannins lingering on the finish. Drink now–2025, and possibly beyond.",The Benbournie,93,83.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2010 The Benbournie Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Jim Barry,#471163
+123960,Australia,"Full-bodied, rich and chewy, this is a big, bold wine. Ample oak frames black cherry and cassis fruit, adding hints of vanilla and dark chocolate to the fudge-like impression. Warmth suffuses the palate, but doesn't quite progress to full-blown high-alcohol heat. There's no doubting its impressive intensity and ripeness. Drink now–2025.",Velvet Glove,93,185.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mollydooker 2014 Velvet Glove Shiraz (McLaren Vale),Shiraz,Mollydooker,#471669
+124061,Australia,"White peach and toasted grain aromas ease gently into a plump, custardy mouthful of melon and stone fruit. Balanced nuttiness frames the wine, giving it just enough structure on the elegant, plush finish. Drink now–2020.",Finisterre,92,30.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Robert Oatley 2015 Finisterre Chardonnay (Margaret River),Chardonnay,Robert Oatley,#440154
+124073,Australia,"Less effusive on the nose than the Mort's Block, this boasts notes of tangerine zest and lemon. This dry, medium-bodied Riesling hints at riper fruit flavors yet stays resolutely citrusy through the long, electric finish.",Killerman's Run,92,20.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Kilikanoon 2014 Killerman's Run Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+124075,Australia,"Grilled-toast notes swirl around the bouquet of this cassis-scented wine. Leafy elements add complexity without being green, while a lifted cherry element brings vibrancy to the mix. This firm, structured wine features a long, mouthwatering finish that bodes well for cellaring. Try it after 2020.",St Andrews Single Vineyard Release,92,60.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2013 St Andrews Single Vineyard Release Cabernet Sauvignon (Clare Valley),Cabernet Sauvignon,Wakefield,#471163
+124096,Australia,"Herbal and lean, with hints of sweet charred oak and tart cherries that combine to yield a slightly confected impression on the palate. Drink now.",Yellow Label,83,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Wolf Blass 2008 Yellow Label Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Wolf Blass,#471163
+124182,Australia,"The hints of menthol and cherry on the nose are appropriately restrained for the style. This medium-bodied wine is still tight and young, but should blossom after 2020, based on the length of its mouthwatering finish.",Vat 9,90,67.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Tyrrell's 2013 Vat 9 Shiraz (Hunter Valley),Shiraz,Tyrrell's,#471669
+124255,Australia,"This is a creamy-textured Shiraz with mouthfilling flavors of brown sugar, blackberries, vanilla and a hint of peppery spice. It falls off a bit on the finish and doesn't seem to offer much in terms of ageability, but it tastes pretty darn good right now.",,88,30.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Battle of Bosworth 2005 Shiraz (McLaren Vale),Shiraz,Battle of Bosworth,#471669
+124257,Australia,"A round, corpulent style of Chardonnay, nutty and rich but balanced by crisp apple and citrus notes. A bit of Eden Valley Riesling provides the wine's freshness.",Exodus,88,58.0,South Australia,Piccadilly Valley,,Joe Czerwinski,@JoeCz,The Colonial Estate 2005 Exodus Chardonnay (Piccadilly Valley),Chardonnay,The Colonial Estate,#440154
+124259,Australia,"Starts off with herbal aromatics that come surprisingly close to vegetal, but seems to gather itself with some time in the glass, adding rich chocolate and cassis aromas and flavors to the mix. Dusty tannins and a balanced but tight feel suggest a few years in the cellar. Drink 2010–2020.",Bin 407,88,26.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Penfolds 2004 Bin 407 Cabernet Sauvignon (South Australia),Cabernet Sauvignon,Penfolds,#471163
+124260,Australia,"A soft, easy-drinking sparkling Shiraz, much like Schild's still versions. Toast, vanilla and blackberry aromas and flavors are creamy-textured in the mouth and surprisingly elegant on the finish.",Sparkling,88,24.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Schild Estate 2005 Sparkling Shiraz (Barossa),Shiraz,Schild Estate,#471669
+124317,Australia,"Only a portion of this postage-stamp property (8 acres) is planted to Pinot Noir, so quantities of this gem are tiny. That said, it epitomizes Mornington's charm, offering floral scents, generous fruit and a supple, silky texture. Dried flowers, black cherries and hints of vanilla mingle easily, lingering through a long, fruit-driven finish. Drink now–2023.",,93,50.0,Victoria,Mornington Peninsula,,Joe Czerwinski,@JoeCz,Eldridge Estate 2013 Pinot Noir (Mornington Peninsula),Pinot Noir,Eldridge Estate,#414286
+124365,Australia,"Peach and pear fruit come together in this simple, fruity, but satisfying Chardonnay from Western Australia. It's moderately rich and full in body, but nicely silky in texture.",,88,17.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Mad Fish 2015 Chardonnay (Western Australia),Chardonnay,Mad Fish,#440154
+124409,Australia,"Greenstone's 2007 Shiraz is a medium-bodied, open-knit representation of Heathcote Shiraz. The alcohol level is moderate, just sufficient to give weight to the wine's pleasant mélange of fruity and savory elements, which range from vanilla and caramel to ripe berries and fine-grained leather. Probably best now and over the next few years.",,90,40.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Greenstone 2007 Shiraz (Heathcote),Shiraz,Greenstone,#471669
+124452,Australia,"This already mature wine starts off with aromas of herbs and beet greens, then quickly turns leathery with exposure to air. Flavors of leather, dried fruit and decay are a bit lean and astringent. Although the fruit seems to be departing rather precipitously, there's sufficient complexity to merit interest.",,83,27.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Tamar Ridge 2004 Pinot Noir (Tasmania),Pinot Noir,Tamar Ridge,#414286
+124470,Australia,"Light in body for a Shiraz, with savory elements of meat and pepper complemented by touches of plum and berry fruit. Drink up.",,83,8.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Cockatoo Ridge 2007 Shiraz (South Australia),Shiraz,Cockatoo Ridge,#471669
+124482,Australia,"For Roussanne, this is surprisingly neutral on the nose. It's marginally more expressive on the palate, where it offers hints of paraffin and toasted marshmallow. Still, it's plump and mouthfilling, with an attractive hint of ginger on the long finish.",Samuel's Garden Selection,90,19.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Yalumba 2014 Samuel's Garden Selection Roussanne (Eden Valley),Roussanne,Yalumba,#40BD72
+124493,Australia,"Five different grape varieties go into this blend, including a surprising 8% Pinot Noir. There's a touch of grilled tomato upfront, followed by more traditional flavors of cassis, vanilla and chocolate. This medium- to full-bodied wine is open knit and ready to drink now.",Amy's,90,31.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Moss Wood 2012 Amy's Red (Margaret River),Bordeaux-style Red Blend,Moss Wood,#1F938B
+124503,Australia,"This is the best example of this wine I can remember, as it manages to toe the fine line between being boldly aromatic and going over the top. Nettles and grapefruit, hints of white currants and passion fruit, it has something to offer any Sauvignon Blanc lover, finishing long and fresh.",Siblings,90,20.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Leeuwin Estate 2014 Siblings Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Leeuwin Estate,#3C4E8A
+124582,Australia,"Neutral in the extreme, this is an easy pick for a large crowd. It's light on its feet and quite crisp with an over-arching theme of nuts and just a faint hint of citrus. Drink up.",Billi Billi,83,15.0,Australia Other,South Eastern Australia,,,,Mount Langi Ghiran 2008 Billi Billi Pinot Grigio (South Eastern Australia),Pinot Grigio,Mount Langi Ghiran,#423D84
+124695,Australia,"This international venture based out of the former Nepenthe winery in the Adelaide Hills sources fruit from a number of vineyards in South Australia. This bottling is light on its feet for its 15% stated abv, showcasing fresh cherry fruit, gentle herbal notes and silky tannins. Drink now–2022.",Thorny Devil Old Vine Single Vineyard,92,30.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Thistledown 2013 Thorny Devil Old Vine Single Vineyard Grenache (Barossa Valley),Grenache,Thistledown,#481C6E
+124742,Australia,"Despite being unoaked, this is a weighty wine, with a thick, viscous texture and simple, tangy flavors of canned pineapple. Drink it well chilled.",Unoaked,84,19.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Jip Jip Rocks 2014 Unoaked Chardonnay (Padthaway),Chardonnay,Jip Jip Rocks,#440154
+124776,Australia,"Grilled pineapple and tropical fruits mingle easily in this uncomplicated but well made Chardonnay. It's medium-bodied, with enough weight to stand up to roast chicken breasts and the like.",,86,13.0,South Australia,Limestone Coast,,Joe Czerwinski,@JoeCz,Mt. Monster 2008 Chardonnay (Limestone Coast),Chardonnay,Mt. Monster,#440154
+124781,Australia,"Possessing bold waves of pineappley fruit, this is an intensely flavored Chardonnay at a reasonable price. It's fruity and direct, with clean citrus featuring prominently from start to finish.",Ass Kisser,86,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Rocland Estate 2009 Ass Kisser Chardonnay (South Australia),Chardonnay,Rocland Estate,#440154
+124785,Australia,"Barrel fermented in older oak, but this wine is still marked by oak and lees, with a slightly toasty, custardy edge to the melon and nectarine aromas and flavors. This medium-bodied Viognier then picks up hints of coffee and chocolate on the finish. Drink now.",The Last Ditch,86,25.0,South Australia,McLaren Vale-Adelaide Hills,,Joe Czerwinski,@JoeCz,D'Arenberg 2008 The Last Ditch Viognier (McLaren Vale-Adelaide Hills),Viognier,D'Arenberg,#45347F
+124962,Australia,"Seemingly fully mature, this wine features lots of savory, meaty notes to go along with dried fruit aromas, then adds brighter, tart berry flavors on the palate. Vanilla, tobacco and crisp acids seem to be taking control of the finish, so drink up before the fruit fades.",Frux Frugis,89,60.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Ulithorne 2003 Frux Frugis Shiraz (McLaren Vale),Shiraz,Ulithorne,#471669
+124964,Australia,"This unusual blend is 68% Shiraz and 32% Malbec, resulting in a full-bodied, deeply plummy wine. Hints of clove, pepper and earth impart welcome complexity on the nose, while the flavors fold in a black olive component. Softly tannic, so drink now or hold 2-3 years.",Organic,88,15.0,South Australia,Langhorne Creek,,Joe Czerwinski,@JoeCz,Temple Bruer 2005 Organic Shiraz-Malbec (Langhorne Creek),Shiraz-Malbec,Temple Bruer,#57C665
+124984,Australia,"This full-bodied Shiraz isn't that complex, but it's immediately gratifying for its lashings of vanilla and blackberry fruit. Lush and oaky, it fits the mold of many steakhouse reds.",,88,17.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Wayne Thomas 2006 Shiraz (McLaren Vale),Shiraz,Wayne Thomas,#471669
+125010,Australia,"It's difficult to find $20 Pinot Noir this good from anywhere in the world. Floral notes on the nose yield to ripe black-cherry fruit on the palate, which finish finishes with crisp acids and soft, dusty tannins. Drink now–2020.",,89,20.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Innocent Bystander 2014 Pinot Noir (Victoria),Pinot Noir,Innocent Bystander,#414286
+125066,Australia,"The Monster is approximately half Cabernet Sauvignon, with the rest a blend of Merlot (27%), Petit Verdot (12%) and Cabernet Franc (10%). Aromas and flavors are savory and slightly leathery, with a soft core of plum and cherry fruit, hints of cocoa and a long finish.",Harry's Monster,87,30.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Sexton 2004 Harry's Monster Red (Yarra Valley),Bordeaux-style Red Blend,Sexton,#1F938B
+125120,Australia,"Suitably light in body and elegant, this is a pretty, varietally correct Pinot Noir, with fruity notes of cranberry and tart cherry accented by shadings of earth and brown sugar. It's silky on the finish, with delicate hints of coffee. Drink now.",Gulf Station,86,20.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,De Bortoli 2010 Gulf Station Pinot Noir (Yarra Valley),Pinot Noir,De Bortoli,#414286
+125132,Australia,"A lightweight but charming Pinot Noir, with pretty cherry fruit accented by notes of dried bracken and ground cinnamon. It's soft, silky and immediately accessible. Drink now.",,86,20.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Innocent Bystander 2010 Pinot Noir (Yarra Valley),Pinot Noir,Innocent Bystander,#414286
+125189,Australia,"The vineyard was planted in 1853, so these are some seriously old vines, yielding seriously concentrated fruit. The briary, blackberry fruit is lavished with toasty, vanilla-scented French oak, which melds nicely into a full-bodied, slightly creamy-textured wine that avoids any sensation of warmth or heaviness. Drink now–2030. Frederick Wildman & Sons",Old Garden Vineyard,93,82.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Hewitson 2013 Old Garden Vineyard Mourvèdre (Barossa Valley),Mourvèdre,Hewitson,#83D34B
+125270,Australia,"A solid example of Coonawarra Cabernet, the 2008 Terra Rossa features a charming combination of cherry-cassis fruit and eucalypt with cigar box and vanilla. It's medium to full in body, with fine balance and a long finish. Drink now–2016.",Coonawarra Estate Terra Rossa,88,30.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Parker 2008 Coonawarra Estate Terra Rossa Cabernet Sauvignon (Coonawarra),Cabernet Sauvignon,Parker,#471163
+125273,Australia,"This medium-bodied dry white is notable for its balance and harmony. Citrus, wet stone and green apple aromas and flavors all come into play, none of them dominant, then end on a bright, grapefruity note. Drink now.",,88,18.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Sidewood 2010 Pinot Gris (Adelaide Hills),Pinot Gris,Sidewood,#23888D
+125280,Australia,"Full bodied and meaty, with its slightly creamy texture supporting ample spice and bright berry flavors. This easy-drinking, moderately complex Barossa Shiraz is probably best consumed over the next 2–3 years.",,88,19.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Grant Burge 2010 Shiraz (Barossa),Shiraz,Grant Burge,#471669
+125427,Australia,"Like Spinal Tap, this wine turns the volume up to 11, packing in enough blueberry jam for breakfast on the Queen Mary II and enough cedary oak to build 100 saunas. It's undeniably powerful and intense, and embued with a lush, creamy texture; the only question is how it will evolve. Drink it now and stand your hair on end.",H.D. II,89,95.0,Victoria,Heathcote,,Joe Czerwinski,@JoeCz,Heathcote Estate 2006 H.D. II Shiraz (Heathcote),Shiraz,Heathcote Estate,#471669
+125433,Australia,"Marked by fragrant plum aromas, this silky-textured wine adds cherries, anise and vanilla to the mix on the palate. It's medium in body, but round, with a long, complex finish. A delicious Shiraz to drink over the next 2-3 years.",,89,16.0,Western Australia,Frankland River,,Joe Czerwinski,@JoeCz,Rocky Gully 2007 Shiraz-Viognier (Frankland River),Shiraz-Viognier,Rocky Gully,#462F7C
+125435,Australia,"Fully mature, this flavorful, authentic-tasting Shiraz features scents of toast, molasses and vanilla, followed up by flavors of tobacco and cassis on the palate. It's a bit coarsely textured, but assertive and would pair well with roast beef or lamb.",Drought Reserve,89,30.0,New South Wales,Western Plains,,Joe Czerwinski,@JoeCz,Canonbah Bridge 2004 Drought Reserve Shiraz (Western Plains),Shiraz,Canonbah Bridge,#471669
+125436,Australia,"The Dead Arm rarely wows this reviewer in our blind tastings, and while the 2007 is undeniably a very good wine, it shows a tart edge and a reined-in personality. Toast and vanilla frame cranberry and raspberry fruit, chocolate overtones and savory, meaty elements. Try it after 2015 and see if it has loosened up at all.",The Dead Arm,89,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2007 The Dead Arm Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+125438,Australia,"This Shiraz offers wonderful purity of fruit, ranging from blueberries to raspberries, just touched with hints of cracked pepper, cinnamon and toast. Atypically structured for a wine under $20, this medium-bodied example of Margaret River Shiraz should drink well from 2013-2023.",,89,18.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Xanadu 2007 Shiraz (Margaret River),Shiraz,Xanadu,#471669
+125440,Australia,"Intensely toasty on the nose, along with powerful menthol notes that persist from start to finish. This full-bodied, almost syrupy-concentrated Shiraz features plums and blackberries that take on a slightly medicinal cast, finishing on a fresh, resiny note. Try after 2016.",The Armagh,89,175.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Jim Barry 2006 The Armagh Shiraz (Clare Valley),Shiraz,Jim Barry,#471669
+125441,Australia,"Dense and fudge-like in consistency, with aromas and flavors of mocha, molasses and marinated beef. It's as if the fruit has been cooked down into an intense reduction, with even the acids magnified into tartness on the finish. At 16.4% alcohol, this is probably a better match with the cheese course than with a main.",Sophie's Garden,89,60.0,South Australia,Padthaway,,Joe Czerwinski,@JoeCz,Two Hands 2007 Sophie's Garden Shiraz (Padthaway),Shiraz,Two Hands,#471669
+125514,Australia,"In the context of 2010, I have to admit to some disappointment with how this wine is showing. It's still an excellent wine, filled with luscious oak and bold fruit. But the fruit is slightly stewed, the tannins slightly coarse and the wine's structure a bit open knit. At least in this vintage, it seems more short-term drinker than true collectible.",G.A.M.,90,55.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mitolo 2010 G.A.M. Shiraz (McLaren Vale),Shiraz,Mitolo,#471669
+125578,Australia,"This medium-bodied Chardonnay kicks off with nutty notes of baked meringue layered over plump pear and melon fruit. There's a bit of toasted-grain as well, and a focused, lemony finish that lingers. Drink now–2019.",Villages,89,37.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Marchand & Burch 2014 Villages Chardonnay (Western Australia),Chardonnay,Marchand & Burch,#440154
+125641,Australia,"Not simply a jammy mouthful of fruity richness, the 2007 Woop Woop shows enough structure to ably partner food rather than replace it. Notes of raspberries, roasted coffee and vanilla are slightly confected, but the firmness on the finish proves this is not a cocktail wine. Burgers, anyone?",,89,14.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Woop Woop 2007 Shiraz (South Eastern Australia),Shiraz,Woop Woop,#471669
+125642,Australia,"It's almost two-thirds Riesling, which gives the wine its tight focus and strong mineral and citrus overtones, but there's also Sauvignon Blanc, Marsanne, Viognier and Chardonnay in the mix, giving it layers of fruity complexity. Awfully good for the price.",The Stump Jump,88,11.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2007 The Stump Jump White (McLaren Vale),White Blend,D'Arenberg,#32638D
+126310,Australia,"Scents of wet stone, paraffin and citrus ease into flavors of lemon, melon and tea on the palate. This is light in body and silky in feel, with a long, harmonious finish. Drink it now or age it up to 10 years, maybe even longer.",,92,24.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Silkman 2015 Semillon (Hunter Valley),Sémillon,Silkman,#2C728E
+126321,Australia,"Ripe dark berries meet chocolate, herbs and charred meat on the nose. The palate is plush but wrapped in muscular tannins, a nice lick of acidity and a toasty, charred finish. Drink now–2025.",,87,25.0,South Australia,Barossa,,,,Smallfry 2015 Shiraz (Barossa),Shiraz,Smallfry,#471669
+126331,Australia,"There's a slight sweetness to this simple sipper but the pretty, ripe strawberries and strawberry-leaf characters, along with a decent lick of acidity, keep it refreshing. For the price, this fizz is one for the ice bucket on a sweltering summer day.",Pink Bubbles,87,10.0,Australia Other,Australia,,,,Yellow Tail NV Pink Bubbles Sparkling (Australia),Sparkling Blend,Yellow Tail,#38578C
+126392,Australia,"Although this includes only 3% Viognier, it's apparent from the musky hints of gingery spice on the nose. Ginger, nasturtium and melon flavors round out an expansive mouthfeel. It's odd—especially in a lineup of more traditional Sem-Sauvs—but not unpleasant. Drink now.",,86,16.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Skuttlebutt 2012 Sauvignon Blanc-Semillon (Margaret River),Sauvignon Blanc-Semillon,Skuttlebutt,#3C4E8A
+126449,Australia,"Sourced from one of the world's oldest surviving vineyards (planted in 1843), this is a full-bodied, velvety-textured rendering of Barossa Shiraz. An ample dusting of licorice and baking spices add zest to ripe blackberry and plum fruit flavors, and the wine finishes long and lush, with a flash of vanilla. Drink now–2025+.",The Freedom 1843,93,149.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Langmeil 2013 The Freedom 1843 Shiraz (Barossa),Shiraz,Langmeil,#471669
+126644,Australia,"Full bodied and plush, with supple, velvety tannins that frame cassis fruit. At 60% Shiraz, it's mostly about the fruit, but the 30% Cabernet and 10% Merlot add herbal, tomato-like elements. Drink now–2018.",Three Corner Jack Shiraz-Cabernet-Merlot,89,21.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Mr. Riggs 2013 Three Corner Jack Shiraz-Cabernet-Merlot Red (McLaren Vale),Red Blend,Mr. Riggs,#3F4788
+126685,Australia,"This Merlot is so gently extracted it's almost Pinot Noir-like, with delicate cherry and beet aromas and a noticeable herbal tinge to the dark cherry fruit.",,85,13.0,New South Wales,Orange,,Joe Czerwinski,@JoeCz,Climbing 2006 Merlot (Orange),Merlot,Climbing,#24848D
+126891,Australia,"Brokenwood's entry-level Semillon is always a reliable introduction to the Hunter Valley style. Crisp, zingy citrus fruit and light body make it a fine accompaniment to raw oysters or other shellfish when young.",,87,20.0,New South Wales,Hunter Valley,,Joe Czerwinski,@JoeCz,Brokenwood 2010 Semillon (Hunter Valley),Sémillon,Brokenwood,#2C728E
+126904,Australia,"Ready to drink, this is a soft, rounded sparkler that offers plenty of toasted brioche flavor, with pineapple and honey coming through on the finish.",Eternity Sparkling Cuvée,86,13.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Westend NV Eternity Sparkling Cuvée Sparkling (South Eastern Australia),Sparkling Blend,Westend,#38578C
+126905,Australia,"Light and crisp, with a perfumed bouquet of baby powder and lime blossom. Simple green apple and lime flavors carry a tart edge through the finish.",,86,17.0,South Australia,Clare Valley,,Joe Czerwinski,@JoeCz,Wakefield 2010 Riesling (Clare Valley),Riesling,Wakefield,#443982
+126978,Australia,"Starts off tight on the nose, offering up only struck flint and citrusy notes, but broadens out on the palate to reveal flavors of melon and white pepper. Citrus and spice linger nicely on the finish. Drink now.",Organic,87,16.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2009 Organic Viognier (South Australia),Viognier,Yalumba,#45347F
+127010,Australia,"Sourced from the Tarraford Vineyard (better known for its Chardonnay and Pinot Noir) this is a floral, aromatic wine. Notes of green peppercorns and pipe tobacco ease into raspberry fruit, made more complex through whole-bunch fermentation. The wine's silky texture is an added treat. This has the potential to be really interesting as it evolves through at least 2025.",Mea Culpa,93,60.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Innocent Bystander 2014 Mea Culpa Syrah (Yarra Valley),Syrah,Innocent Bystander,#287A8E
+127011,Australia,"Mint, black cherries and mocha aromas and flavors swirl together easily in this full-bodied Shiraz. It's burly without being overdone, the tannins coming together in a silky vein on the long, mouthwatering finish. Drink now–2030.",Alluvial Fans,93,35.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,Kangarilla Road 2013 Alluvial Fans Shiraz (McLaren Vale),Shiraz,Kangarilla Road,#471669
+127072,Australia,"Hints of lemon curd and crème brûlée join peach and citrus, finishing with a surprising degree of elegance. Drink up.",Stamp of Australia,85,8.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Hardys 2014 Stamp of Australia Chardonnay (South Eastern Australia),Chardonnay,Hardys,#440154
+127103,Australia,"It's slightly lean and hard on the finish, but this entry-level Yarra Valley Pinot does show some pleasant notes of cedar, cola and cherries on the nose and in the mouth. Perhaps a year or two of aging will help soften its edges.",,83,18.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yering Station 2006 Pinot Noir (Yarra Valley),Pinot Noir,Yering Station,#414286
+127120,Australia,"Classic Chardonnay aromas of apple, pear and hay lead into a palate marked by decent intensity but also a bit of sweetness. Orange and candy notes run through the rather short finish.",Peace Family Vineyard,83,10.0,Australia Other,South Eastern Australia,,,,Andrew Peace 2007 Peace Family Vineyard Chardonnay (South Eastern Australia),Chardonnay,Andrew Peace,#440154
+127122,Australia,"Rubber, plum and pepper notes open this light-weight red. The crisp palate shows no sign of tannin and is a bit lacking in intensity, leading into a short finish. Drink now.",Reserve,83,15.0,Australia Other,South Eastern Australia,,,,Tall Poppy 2006 Reserve Shiraz (South Eastern Australia),Shiraz,Tall Poppy,#471669
+127225,Australia,"A blend of Mount Barker and Margaret River fruit, this is lavishly oaked, chocolaty and rich, as decadent a bottle of Cabernet you'll find in Australia. Baking spices accent mocha and cassis in this full-bodied wine, which features a velvety texture and long finish. Drink 2020–2030, and possibly beyond.",Abercrombie,94,90.0,Western Australia,Western Australia,,Joe Czerwinski,@JoeCz,Howard Park 2012 Abercrombie Cabernet Sauvignon (Western Australia),Cabernet Sauvignon,Howard Park,#471163
+127287,Australia,"A blend of two clones (MV6 and 114), this is a floral wine that blends ripe cherries with more savory notes of mushroom and smoke. The oak is wonderfully understated, which allows the fruit complexity to shine and leaves the fruit tannins to glide easily across the palate. Drink now–2025.",Mea Culpa,92,60.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Innocent Bystander 2013 Mea Culpa Pinot Noir (Yarra Valley),Pinot Noir,Innocent Bystander,#414286
+127292,Australia,"A blend of Grenache, Shiraz and Mourvèdre, this is much more firmly tannic and structured than most such Australian blends. Grilled meat, red plum, black tea and rose hip notes are crisp and firm on the palate. Drink 2015–2023, and possibly beyond that.",The Ironstone Pressings,92,65.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2009 The Ironstone Pressings Red (McLaren Vale),Red Blend,D'Arenberg,#3F4788
+127297,Australia,"For a traditionally rather burly grape variety, this Mourvèdre is surprisingly silky in texture. That tender thread runs from start to finish, cosseted by hints of boysenberry, plum and vanilla and ending on notes of mocha and roasted meat. Drink now–2020.",,92,50.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Turkey Flat 2008 Mourvèdre (Barossa Valley),Mourvèdre,Turkey Flat,#83D34B
+127593,Australia,"Slightly over the top and disjointed, the sweet honey, butterscotch, toast and baked Golden Delicious aromas and flavors at war with powerful acids. The elements are all here, just not working together.",,83,17.0,South Australia,Coonawarra,,Joe Czerwinski,@JoeCz,Hollick 1999 Chardonnay (Coonawarra),Chardonnay,Hollick,#440154
+127594,Australia,"Starts off decently, with menthol-toast aromas of new oak layered over apple and lime fruit. Then turns overly oaky on the palate, blending caramel, toast and dill flavors with tart apple, finishing off with a slice of lemony acidity.",Soldier's Block Vineyard,83,9.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Marktree 1999 Soldier's Block Vineyard Chardonnay (Australia),Chardonnay,Marktree,#440154
+127596,Australia,"Aromas are musky and nutty at the same time, but also mix in some grapefruit notes. It tastes largely neutral, except for a dollop of baking spices that turn aggressively peppery on the lean finish.",The Olive Grove,83,15.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2001 The Olive Grove Chardonnay (McLaren Vale),Chardonnay,D'Arenberg,#440154
+127599,Australia,"Simple melon and vanilla aromas and flavors in a lightweight wine. It'll go fine with carryout rotisserie chicken on a busy weeknight, when something else might be overkill.",,83,7.0,Australia Other,Australia,,Joe Czerwinski,@JoeCz,Cockatoo Ridge 2000 Chardonnay (Australia),Chardonnay,Cockatoo Ridge,#440154
+127600,Australia,"Good party Chard. Nothing too complex or subtle, just mixed tropical fruit with a hint of wood and sweet fruit-cocktail flavors.",,83,6.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Banrock Station 2001 Chardonnay (South Eastern Australia),Chardonnay,Banrock Station,#440154
+127604,Australia,"A heavyweight wine, loaded with cooked pear and apple flavors and accented by mint and cream. Like a real-life heavyweight, it's a bit ponderous in this crowd, albeit packed with flavor.",,83,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Black Opal 2001 Chardonnay (South Eastern Australia),Chardonnay,Black Opal,#440154
+127606,Australia,"No oak means that the pear and melon flavors are front and center in this slightly syrupy wine that finishes unexpectedly hard and tart, with metallic notes.",Ceravolo,83,12.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,St. Andrews Estate 2000 Ceravolo Chardonnay (Adelaide Hills),Chardonnay,St. Andrews Estate,#440154
+127609,Australia,"A decent introduction to Aussie Chardonnay, this new line from Penfolds boasts plenty of sweet vanilla and peach flavors in a full and somewhat syrupy package.",Rawson's Retreat,83,11.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Penfolds 2001 Rawson's Retreat Chardonnay (South Eastern Australia),Chardonnay,Penfolds,#440154
+127611,Australia,"The warm climate of the Barossa is reflected in the heavy, sweet fruit flavors. The melon, guava and honey aromas and flavors lack zip and definition but certainly don't lack for ripeness.",Railway,83,13.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Hamilton's Ewell Vineyard 2000 Railway Chardonnay (Barossa Valley),Chardonnay,Hamilton's Ewell Vineyard,#440154
+127764,Australia,"It's a rare treat when a winery bottle-ages a wine for you, but that's exactly what's happened here. The result is a top-notch dry Aussie Riesling that's just entering its plateau of maturity, where it should stay for another 5–10 years. Slightly honeyed notes soften the intense scents of crushed stones, then pick up hints of tangerine on the palate. Replacing the briskness of youth is a soft, lingering finish.",The Contours Museum Reserve,91,28.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Pewsey Vale 2003 The Contours Museum Reserve Riesling (Eden Valley),Riesling,Pewsey Vale,#443982
+127766,Australia,"Rocland puts out a number of inexpensive wines, but this is evidence that the company has quality aspirations as well. Filled with plum, blueberry, licorice and dried-spice notes, this is a reasonably full-bodied wine with a long, dusty finish that would pair nicely with steaks or roasts. Drink now–2018.",Lot 147,91,26.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Rocland Estate 2006 Lot 147 Shiraz (Barossa Valley),Shiraz,Rocland Estate,#471669
+128002,Australia,"The best Sauvignon Blanc yet from Shaw & Smith, the 2009 boasts terrifically fragrant aromas of passion fruit and pink grapefruit. It's intense and long, easily the qualitative equal of its top Kiwi cousins and better than most. Drink now–2011.",,92,25.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Shaw and Smith 2009 Sauvignon Blanc (Adelaide Hills),Sauvignon Blanc,Shaw and Smith,#482172
+128181,Australia,"This medium-bodied wine boasts aromas reminiscent of trading-card bubble gum. Is that even still a thing? It's vaguely cherry-like, with hints of baby powder, yet completely dry and refreshing, with a crisp, clean finish. Drink now.",The Y Series Sangiovese,86,13.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Yalumba 2016 The Y Series Sangiovese Rosé (South Australia),Rosé,Yalumba,#450558
+128182,Australia,"This traditional blend of five Bordeaux varieties comes across as tight and streamlined, lacking much texture or richness. Cedar, cassis and mint finish crisp.",,86,90.0,Victoria,Yarra Valley,,Joe Czerwinski,@JoeCz,Yeringberg 2013 Red (Yarra Valley),Bordeaux-style Red Blend,Yeringberg,#1F938B
+128183,Australia,"This medium-bodied Chardonnay is a bit tart and austere. Understated smoke and melon aromas lead the way, while the flavors are lemony, finishing on a slightly sour note.",,86,21.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Hill-Smith Estate 2014 Chardonnay (Eden Valley),Chardonnay,Hill-Smith Estate,#440154
+128264,Australia,"For a wine that's 100% Mourvèdre, this has pretty tame tannins, the suppleness and creamy texture helping to balance some of the crisp acids and tart red berry notes. Varietal cola and tree bark aromas and flavors add complexity to this structured but approachable red that should drink well for at least the next 5–8 years.",The Twentyeight Road,89,35.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2006 The Twentyeight Road Mourvèdre (McLaren Vale),Mourvèdre,D'Arenberg,#83D34B
+128278,Australia,"Savvy shoppers may be able to find this for about $20, making it an excellent deal in a full-bodied, structured red wine. Cassis, vanilla and plum notes mark the nose and palate, finishing with a flourish of dusty-textured tannins. Drink now–2025.",Shotfire,92,23.0,South Australia,Barossa,,Joe Czerwinski,@JoeCz,Thorn Clarke 2013 Shotfire Shiraz (Barossa),Shiraz,Thorn Clarke,#471669
+128434,Australia,"A remarkable effort, especially considering how difficult the 2011 vintage was in South Australia. Floral notes emerge on the nose, dressing up hints of raspberry compote, while the medium- to full-bodied palate delivers raspberries, cherries, cinnamon, clove and pepper. The tannins on the finish are fine and silky. Drink now–2025.",Ancestor Vine 1850,94,90.0,South Australia,Barossa Valley,,Joe Czerwinski,@JoeCz,Cirillo 2011 Ancestor Vine 1850 Grenache (Barossa Valley),Grenache,Cirillo,#481C6E
+128742,Australia,"This is a powerful Shiraz, with heady notes of sweet spice, Dr. Pepper and chocolate on the nose. Ripe dark berries, violet and stoney notes are plentiful on the palate, supported by fine, integrated tannins. Drink 2019–2032.",Lunatiq,90,47.0,Victoria,Heathcote,,,,Tyrrell's 2013 Lunatiq Shiraz (Heathcote),Shiraz,Tyrrell's,#471669
+128744,Australia,"Pale gold in color, this wine leads with notes of fresh apples, blossoms and honeycomb. The palate is prickly and refreshing, with a good lick of acidity and some texture and weight to prop it up. Drink now.",Estate Label,90,18.0,South Australia,Clare Valley,,,,Wakefield 2016 Estate Label Riesling (Clare Valley),Riesling,Wakefield,#443982
+128881,Australia,"Dry woody notes reminiscent of sawdust join apple and citrus fruit on the nose of this medium-bodied wine. There's a bit of a hollow in the midpalate, where tart apple, pineapple and lemon flavors take hold, finishing crisp.",,85,14.0,Victoria,Central Victoria,,Joe Czerwinski,@JoeCz,Four Sisters 2015 Chardonnay (Central Victoria),Chardonnay,Four Sisters,#440154
+128887,Australia,"Yalumba's efforts with Viognier have trickled all the way down into a $10 version under the Oxford Landing label. Fresh herbs, apple and citrus mark the nose, while the palate delivers mandarin and melon fruit along with Viognier's hallmark oily texture. Drink now.",,85,10.0,South Australia,South Australia,,Joe Czerwinski,@JoeCz,Oxford Landing 2015 Viognier (South Australia),Viognier,Oxford Landing,#45347F
+128983,Australia,"Of all the Clarendon Hills 2008 Syrahs, the Moritz probably offers the best value. It's plummy, dark and intense, with savory overtones of meat and spice that complement the wine's full body and creamy texture. The long finish echoes with hints of coffee, meat and plummy fruit. Drink now–2020.",Moritz,93,60.0,South Australia,Clarendon,,Joe Czerwinski,@JoeCz,Clarendon Hills 2008 Moritz Syrah (Clarendon),Syrah,Clarendon Hills,#287A8E
+129107,Australia,"This full-bodied, single-vineyard bottling has a distinct charred or roasted note to it, while the texture is slightly coarse. The flavors are earthy and dark, reminiscent of burnt wood and roasted meat, finally ending on an espresso note.",The Vociferate Dipsomaniac Single Vineyard,87,85.0,South Australia,McLaren Vale,,Joe Czerwinski,@JoeCz,D'Arenberg 2010 The Vociferate Dipsomaniac Single Vineyard Shiraz (McLaren Vale),Shiraz,D'Arenberg,#471669
+129119,Australia,"In the 2012 vintage, Cullen's entry-level red wine is an assemblage of 55% Merlot, 29% Malbec and 16% Petit Verdot. The result blends olive, berry and mocha notes into a medium-bodied red wine, with a touch of creaminess to its midpalate and a mouthwatering finish.",Mangan Vineyard Merlot-Malbec-Petit Verdot,87,29.0,Western Australia,Margaret River,,Joe Czerwinski,@JoeCz,Cullen 2012 Mangan Vineyard Merlot-Malbec-Petit Verdot Red (Margaret River),Bordeaux-style Red Blend,Cullen,#1F938B
+129210,Australia,"This is truly prickly, with a slight spritz of CO2 acting to perk up the lime, green apple and pineapple aromas and flavors. It's at the same time plump and off dry, deftly balancing sweetness and zest. Drink now. Old Bridge Cellars.",Prickly,86,10.0,Victoria,Victoria,,Joe Czerwinski,@JoeCz,Frisk 2010 Prickly Riesling (Victoria),Riesling,Frisk,#443982
+129230,Australia,"Gen Yers and Baby Boomers will remember when Rosemount's ubiquitous Diamond Label wines represented great value. This Cab offers slightly confected cherry fruit, a whisper of mint and hints of vanilla. It's round in the mouth without being heavy, a fresh fruity wine for immediate gratification.",Diamond Label,86,10.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Rosemount 2009 Diamond Label Cabernet Sauvignon (South Eastern Australia),Cabernet Sauvignon,Rosemount,#471163
+129326,Australia,"Like its stablemate Pinot Grigio from producer Thorne Clark, this Pinot Gris carries a faint copper-pink cast to its hue, and it also has a fairly broad mouthfeel. The pear and melon flavors are pleasant, making it an easy-drinking medium-bodied white with wide appeal.",,86,13.0,South Australia,Eden Valley,,Joe Czerwinski,@JoeCz,Cool Woods 2009 Pinot Gris (Eden Valley),Pinot Gris,Cool Woods,#23888D
+129368,Australia,"This wine shows much less oak influence than Pepik's Zdar bottling, but in this case that's a good thing. The fruit is herbal and perhaps a bit tomatoey, but there's enough cherry to hold things together, with smoke and sous-bois notes for complexity. It's a light- to medium-bodied wine that finishes on a crisp note. Drink now.",Pepik,87,24.0,Tasmania,Tasmania,,Joe Czerwinski,@JoeCz,Josef Chromy 2010 Pepik Pinot Noir (Tasmania),Pinot Noir,Josef Chromy,#414286
+129389,Australia,"Banrock Station's 2006 Shiraz is a throwback to the kind of super value Australian wines used to provide with more regularity. For $5, consumers get a decently textured, supple wine with plenty of forward blueberry and plum fruit and touches of chocolate and pepper. Look for it by the glass or buy it by the case for entertaining on a budget.",,85,5.0,Australia Other,South Eastern Australia,,Joe Czerwinski,@JoeCz,Banrock Station 2006 Shiraz (South Eastern Australia),Shiraz,Banrock Station,#471669
+129406,Australia,"This medium-bodied Pinot features aromas of vanilla, beet greens and a touch of cola to go with extremely soft tannins. Flavors of cola, cedar and earth end on hints of tart berries and coffee.",Charleston,85,20.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Nepenthe 2005 Charleston Pinot Noir (Adelaide Hills),Pinot Noir,Nepenthe,#414286
+129414,Australia,"A bit more austere than some of Kilikanoon's other cuveés, Mort's Block is in it for the long haul. Still a baby, it currently shows lemon-lime characters, with kerosene and Barbie doll plastic. The palate is linear and supercitrusy. Drink 2018–2025.",Mort's Block,89,20.0,South Australia,Clare Valley,,,,Kilikanoon 2016 Mort's Block Riesling (Clare Valley),Riesling,Kilikanoon,#443982
+129433,Australia,"This wine shows a pleasing nose of black currant cordial, violets, hot cocoa powder and some smokey oak aromas. The palate is relatively light in feel for the powerful three (Grenache, Shiraz, Mourvèdre), yet with a juicy fruit core, grainy texture and savory tannins, this is a solid GSM.",Estate Grown,89,20.0,South Australia,Barossa Valley,,,,Atze's Corner 2015 Estate Grown G-S-M (Barossa Valley),G-S-M,Atze's Corner,#26818E
+129726,Australia,"Hints of buttered toast and roasted nuts mark the nose of this medium-bodied wine. It's plump on the palate, blending cinnamon, clove and cashew notes with melon, peach and pineapple fruit, then comes to a close in more oak spice and some leesy richness.",Croft,90,55.0,South Australia,Adelaide Hills,,Joe Czerwinski,@JoeCz,Henschke 2015 Croft Chardonnay (Adelaide Hills),Chardonnay,Henschke,#440154
diff --git a/data/Example4.xlsx b/data/Example4.xlsx
new file mode 100644
index 0000000..307ffc3
Binary files /dev/null and b/data/Example4.xlsx differ
diff --git a/data/MN_Traffic_Fatalities.csv b/data/MN_Traffic_Fatalities.csv
new file mode 100644
index 0000000..920d7cf
--- /dev/null
+++ b/data/MN_Traffic_Fatalities.csv
@@ -0,0 +1,11 @@
+County,Twin_Cities,Pres_Election,Public_Transport(%),Travel_Time,Population,2012,2013,2014,2015,2016
+Hennepin,Yes,Clinton,7.2,23.2,1237604,33,42,34,33,45
+Dakota,Yes,Clinton,3.3,24,418432,19,19,10,11,28
+Anoka,Yes,Trump,3.4,28.2,348652,25,12,16,11,20
+St. Louis,No,Clinton,2.4,19.5,199744,11,19,8,16,19
+Ramsey,Yes,Clinton,6.4,23.6,540653,19,12,12,18,15
+Washington,Yes,Clinton,2.3,25.8,253128,8,10,8,12,13
+Olmsted,No,Clinton,5.2,17.5,153039,2,12,8,14,12
+Cass,No,Trump,0.9,23.3,28895,6,5,6,4,10
+Pine,No,Trump,0.8,30.3,28879,14,7,4,9,10
+Becker,No,Trump,0.5,22.7,33766,4,3,3,1,9
diff --git a/data/Traffic_20170306-20170519.xlsx b/data/Traffic_20170306-20170519.xlsx
new file mode 100644
index 0000000..e11d733
Binary files /dev/null and b/data/Traffic_20170306-20170519.xlsx differ
diff --git a/data/cereal_data.csv b/data/cereal_data.csv
new file mode 100644
index 0000000..6a907de
--- /dev/null
+++ b/data/cereal_data.csv
@@ -0,0 +1,78 @@
+name,mfr,type,calories,protein,fat,sodium,fiber,carbo,sugars,potass,vitamins,shelf,weight,cups,rating,cereal
+100% Bran,Nabisco,Cold,70,4,1,130,10.0,5.0,6,280,25,Top,1.0,0.33,68.4,1
+100% Natural Bran,Quaker Oats,Cold,120,3,5,15,2.0,8.0,8,135,0,Top,1.0,1.0,33.98,1
+All-Bran,Kellogs,Cold,70,4,1,260,9.0,7.0,5,320,25,Top,1.0,0.33,59.43,1
+All-Bran with Extra Fiber,Kellogs,Cold,50,4,0,140,14.0,8.0,0,330,25,Top,1.0,0.5,93.7,1
+Almond Delight,Ralston Purina,Cold,110,2,2,200,1.0,14.0,8,-1,25,Top,1.0,0.75,34.38,1
+Apple Cinnamon Cheerios,General Mills,Cold,110,2,2,180,1.5,10.5,10,70,25,Bottom,1.0,0.75,29.51,1
+Apple Jacks,Kellogs,Cold,110,2,0,125,1.0,11.0,14,30,25,Middle,1.0,1.0,33.17,1
+Basic 4,General Mills,Cold,130,3,2,210,2.0,18.0,8,100,25,Top,1.33,0.75,37.04,1
+Bran Chex,Ralston Purina,Cold,90,2,1,200,4.0,15.0,6,125,25,Bottom,1.0,0.67,49.12,1
+Bran Flakes,Post,Cold,90,3,0,210,5.0,13.0,5,190,25,Top,1.0,0.67,53.31,1
+Cap'n'Crunch,Quaker Oats,Cold,120,1,2,220,0.0,12.0,12,35,25,Middle,1.0,0.75,18.04,1
+Cheerios,General Mills,Cold,110,6,2,290,2.0,17.0,1,105,25,Bottom,1.0,1.25,50.76,1
+Cinnamon Toast Crunch,General Mills,Cold,120,1,3,210,0.0,13.0,9,45,25,Middle,1.0,0.75,19.82,1
+Clusters,General Mills,Cold,110,3,2,140,2.0,13.0,7,105,25,Top,1.0,0.5,40.4,1
+Cocoa Puffs,General Mills,Cold,110,1,1,180,0.0,12.0,13,55,25,Middle,1.0,1.0,22.74,1
+Corn Chex,Ralston Purina,Cold,110,2,0,280,0.0,22.0,3,25,25,Bottom,1.0,1.0,41.45,1
+Corn Flakes,Kellogs,Cold,100,2,0,290,1.0,21.0,2,35,25,Bottom,1.0,1.0,45.86,1
+Corn Pops,Kellogs,Cold,110,1,0,90,1.0,13.0,12,20,25,Middle,1.0,1.0,35.78,1
+Count Chocula,General Mills,Cold,110,1,1,180,0.0,12.0,13,65,25,Middle,1.0,1.0,22.4,1
+Cracklin' Oat Bran,Kellogs,Cold,110,3,3,140,4.0,10.0,7,160,25,Top,1.0,0.5,40.45,1
+Cream of Wheat (Quick),Nabisco,Hot,100,3,0,80,1.0,21.0,0,-1,0,Middle,1.0,1.0,64.53,1
+Crispix,Kellogs,Cold,110,2,0,220,1.0,21.0,3,30,25,Top,1.0,1.0,46.9,1
+Crispy Wheat & Raisins,General Mills,Cold,100,2,1,140,2.0,11.0,10,120,25,Top,1.0,0.75,36.18,1
+Double Chex,Ralston Purina,Cold,100,2,0,190,1.0,18.0,5,80,25,Top,1.0,0.75,44.33,1
+Froot Loops,Kellogs,Cold,110,2,1,125,1.0,11.0,13,30,25,Middle,1.0,1.0,32.21,1
+Frosted Flakes,Kellogs,Cold,110,1,0,200,1.0,14.0,11,25,25,Bottom,1.0,0.75,31.44,1
+Frosted Mini-Wheats,Kellogs,Cold,100,3,0,0,3.0,14.0,7,100,25,Middle,1.0,0.8,58.35,1
+"Fruit & Fibre Dates, Walnuts, and Oats",Post,Cold,120,3,2,160,5.0,12.0,10,200,25,Top,1.25,0.67,40.92,1
+Fruitful Bran,Kellogs,Cold,120,3,0,240,5.0,14.0,12,190,25,Top,1.33,0.67,41.02,1
+Fruity Pebbles,Post,Cold,110,1,1,135,0.0,13.0,12,25,25,Middle,1.0,0.75,28.03,1
+Golden Crisp,Post,Cold,100,2,0,45,0.0,11.0,15,40,25,Bottom,1.0,0.88,35.25,1
+Golden Grahams,General Mills,Cold,110,1,1,280,0.0,15.0,9,45,25,Middle,1.0,0.75,23.8,1
+Grape Nuts Flakes,Post,Cold,100,3,1,140,3.0,15.0,5,85,25,Top,1.0,0.88,52.08,1
+Grape-Nuts,Post,Cold,110,3,0,170,3.0,17.0,3,90,25,Top,1.0,0.25,53.37,1
+Great Grains Pecan,Post,Cold,120,3,3,75,3.0,13.0,4,100,25,Top,1.0,0.33,45.81,1
+Honey Graham Ohs,Quaker Oats,Cold,120,1,2,220,1.0,12.0,11,45,25,Middle,1.0,1.0,21.87,1
+Honey Nut Cheerios,General Mills,Cold,110,3,1,250,1.5,11.5,10,90,25,Bottom,1.0,0.75,31.07,1
+Honey-comb,Post,Cold,110,1,0,180,0.0,14.0,11,35,25,Bottom,1.0,1.33,28.74,1
+Just Right Crunchy  Nuggets,Kellogs,Cold,110,2,1,170,1.0,17.0,6,60,100,Top,1.0,1.0,36.52,1
+Just Right Fruit & Nut,Kellogs,Cold,140,3,1,170,2.0,20.0,9,95,100,Top,1.3,0.75,36.47,1
+Kix,General Mills,Cold,110,2,1,260,0.0,21.0,3,40,25,Middle,1.0,1.5,39.24,1
+Life,Quaker Oats,Cold,100,4,2,150,2.0,12.0,6,95,25,Middle,1.0,0.67,45.33,1
+Lucky Charms,General Mills,Cold,110,2,1,180,0.0,12.0,12,55,25,Middle,1.0,1.0,26.73,1
+Maypo,AM Home Food,Hot,100,4,1,0,0.0,16.0,3,95,25,Middle,1.0,1.0,54.85,1
+"Muesli Raisins, Dates, & Almonds",Ralston Purina,Cold,150,4,3,95,3.0,16.0,11,170,25,Top,1.0,1.0,37.14,1
+"Muesli Raisins, Peaches, & Pecans",Ralston Purina,Cold,150,4,3,150,3.0,16.0,11,170,25,Top,1.0,1.0,34.14,1
+Mueslix Crispy Blend,Kellogs,Cold,160,3,2,150,3.0,17.0,13,160,25,Top,1.5,0.67,30.31,1
+Multi-Grain Cheerios,General Mills,Cold,100,2,1,220,2.0,15.0,6,90,25,Bottom,1.0,1.0,40.11,1
+Nut&Honey Crunch,Kellogs,Cold,120,2,1,190,0.0,15.0,9,40,25,Middle,1.0,0.67,29.92,1
+Nutri-Grain Almond-Raisin,Kellogs,Cold,140,3,2,220,3.0,21.0,7,130,25,Top,1.33,0.67,40.69,1
+Nutri-grain Wheat,Kellogs,Cold,90,3,0,170,3.0,18.0,2,90,25,Top,1.0,1.0,59.64,1
+Oatmeal Raisin Crisp,General Mills,Cold,130,3,2,170,1.5,13.5,10,120,25,Top,1.25,0.5,30.45,1
+Post Nat. Raisin Bran,Post,Cold,120,3,1,200,6.0,11.0,14,260,25,Top,1.33,0.67,37.84,1
+Product 19,Kellogs,Cold,100,3,0,320,1.0,20.0,3,45,100,Top,1.0,1.0,41.5,1
+Puffed Rice,Quaker Oats,Cold,50,1,0,0,0.0,13.0,0,15,0,Top,0.5,1.0,60.76,1
+Puffed Wheat,Quaker Oats,Cold,50,2,0,0,1.0,10.0,0,50,0,Top,0.5,1.0,63.01,1
+Quaker Oat Squares,Quaker Oats,Cold,100,4,1,135,2.0,14.0,6,110,25,Top,1.0,0.5,49.51,1
+Quaker Oatmeal,Quaker Oats,Hot,100,5,2,0,2.7,-1.0,-1,110,0,Bottom,1.0,0.67,50.83,1
+Raisin Bran,Kellogs,Cold,120,3,1,210,5.0,14.0,12,240,25,Middle,1.33,0.75,39.26,1
+Raisin Nut Bran,General Mills,Cold,100,3,2,140,2.5,10.5,8,140,25,Top,1.0,0.5,39.7,1
+Raisin Squares,Kellogs,Cold,90,2,0,0,2.0,15.0,6,110,25,Top,1.0,0.5,55.33,1
+Rice Chex,Ralston Purina,Cold,110,1,0,240,0.0,23.0,2,30,25,Bottom,1.0,1.13,42.0,1
+Rice Krispies,Kellogs,Cold,110,2,0,290,0.0,22.0,3,35,25,Bottom,1.0,1.0,40.56,1
+Shredded Wheat,Nabisco,Cold,80,2,0,0,3.0,16.0,0,95,0,Bottom,0.83,1.0,68.24,1
+Shredded Wheat 'n'Bran,Nabisco,Cold,90,3,0,0,4.0,19.0,0,140,0,Bottom,1.0,0.67,74.47,1
+Shredded Wheat spoon size,Nabisco,Cold,90,3,0,0,3.0,20.0,0,120,0,Bottom,1.0,0.67,72.8,1
+Smacks,Kellogs,Cold,110,2,1,70,1.0,9.0,15,40,25,Middle,1.0,0.75,31.23,1
+Special K,Kellogs,Cold,110,6,0,230,1.0,16.0,3,55,25,Bottom,1.0,1.0,53.13,1
+Strawberry Fruit Wheats,Nabisco,Cold,90,2,0,15,3.0,15.0,5,90,25,Middle,1.0,1.0,59.36,1
+Total Corn Flakes,General Mills,Cold,110,2,1,200,0.0,21.0,3,35,100,Top,1.0,1.0,38.84,1
+Total Raisin Bran,General Mills,Cold,140,3,1,190,4.0,15.0,14,230,100,Top,1.5,1.0,28.59,1
+Total Whole Grain,General Mills,Cold,100,3,1,200,3.0,16.0,3,110,100,Top,1.0,1.0,46.66,1
+Triples,General Mills,Cold,110,2,1,250,0.0,21.0,3,60,25,Top,1.0,0.75,39.11,1
+Trix,General Mills,Cold,110,1,1,140,0.0,13.0,12,25,25,Middle,1.0,1.0,27.75,1
+Wheat Chex,Ralston Purina,Cold,100,3,1,230,3.0,17.0,3,115,25,Bottom,1.0,0.67,49.79,1
+Wheaties,General Mills,Cold,100,3,1,200,3.0,17.0,3,110,25,Bottom,1.0,1.0,51.59,1
+Wheaties Honey Gold,General Mills,Cold,110,2,1,200,1.0,16.0,8,60,25,Bottom,1.0,0.75,36.19,1
diff --git a/data/hospital_account_dupes.csv b/data/hospital_account_dupes.csv
new file mode 100644
index 0000000..8f0d37d
--- /dev/null
+++ b/data/hospital_account_dupes.csv
@@ -0,0 +1,5342 @@
+Account_Num,Facility Name,Address,City,State,ZIP Code,County Name,Phone Number,Hospital Type,Hospital Ownership
+71730,SAGE MEMORIAL HOSPITAL,STATE ROUTE 264 SOUTH 191,GANADO,AZ,86505,APACHE,(928) 755-4541,Critical Access Hospitals,Voluntary non-profit - Private
+70116,WOODRIDGE BEHAVIORAL CENTER,600 NORTH 7TH STREET,WEST MEMPHIS,AR,72301,CRITTENDEN,(870) 394-4113,Psychiatric,Proprietary
+87991,DOUGLAS GARDENS HOSPITAL,5200 NE 2ND AVE,MIAMI,FL,33137,MIAMI-DADE,(305) 751-8626,Acute Care Hospitals,Voluntary non-profit - Private
+22662,SUNCOAST BEHAVIORAL HEALTH CENTER,4480 51ST ST W,BRADENTON,FL,34210,MANATEE,(941) 792-2222,Psychiatric,Proprietary
+63165,TREASURE VALLEY HOSPITAL,8800 WEST EMERALD STREET,BOISE,ID,83704,ADA,(208) 373-5000,Acute Care Hospitals,Proprietary
+85487,INTERMOUNTAIN HOSPITAL,303 NORTH ALLUMBAUGH STREET,BOISE,ID,83704,ADA,(208) 377-8400,Psychiatric,Proprietary
+50857,CHOATE MENTAL HEALTH & DEVELOPMENT CTR,1000 N MAIN ST,ANNA,IL,62906,UNION,(618) 833-5161,Psychiatric,Government - State
+28392,GOODLAND REGIONAL MEDICAL CENTER,220 WEST SECOND STREET,GOODLAND,KS,67735,SHERMAN,(785) 890-3625,Critical Access Hospitals,Government - Local
+15027,SPRING HARBOR HOSPITAL,123 ANDOVER ROAD,WESTBROOK,ME,4092,CUMBERLAND,(207) 761-2200,Psychiatric,Government - Federal
+44283,EASTERN SHORE HOSPITAL CENTER,POST OFFICE BOX 800,CAMBRIDGE,MD,21613,DORCHESTER,(410) 221-2525,Psychiatric,Government - State
+93392,CHOCTAW REGIONAL MEDICAL CENTER,8613 MS HWY 12,ACKERMAN,MS,39735,CHOCTAW,(662) 285-4400,Critical Access Hospitals,Government - Local
+21955,ST LOUIS CHILDRENS HOSPITAL,ONE CHILDRENS PLACE,SAINT LOUIS,MO,63110,ST. LOUIS CITY,(314) 454-6000,Childrens,Voluntary non-profit - Other
+65841,NEW HAMPSHIRE HOSP-PSYCH UNIT,36 CLINTON STREET,CONCORD,NH,3301,MERRIMACK,(603) 271-5300,Psychiatric,Government - State
+24708,UNION COUNTY GENERAL HOSPITAL,300 WILSON STREET,CLAYTON,NM,88415,UNION,(575) 374-7001,Critical Access Hospitals,Voluntary non-profit - Other
+83477,MARIA PARHAM MEDICAL CENTER,PO BOX 59,HENDERSON,NC,27536,VANCE,(252) 431-3708,Acute Care Hospitals,Proprietary
+84159,CHEROKEE INDIAN HOSPITAL AUTHORITY,CALLER BOX C268,CHEROKEE,NC,28719,SWAIN,(704) 497-9163,Acute Care Hospitals,Government - Federal
+81317,ALLEGHANY COUNTY MEMORIAL HOSPITAL,617 DOCTORS STREET,SPARTA,NC,28675,ALLEGHANY,(336) 372-5511,Critical Access Hospitals,Voluntary non-profit - Private
+39211,AKRON CHILDREN'S HOSPITAL,1 PERKINS SQUARE,AKRON,OH,44308,SUMMIT,(330) 543-1000,Childrens,Voluntary non-profit - Private
+59571,JEFFERSON COUNTY HOSPITAL,INTERSECTION HYWS 81 & 70,WAURIKA,OK,73573,JEFFERSON,(580) 228-2344,Critical Access Hospitals,Voluntary non-profit - Private
+20284,HOSPITAL SAN FRANCISCO,371 DE DIEGO AVE,SAN JUAN,PR,923,SAN JUAN,(787) 767-5100,Acute Care Hospitals,Proprietary
+64163,NH Oak Harbor,3475 North Saratoga Street,Oak Harbor,WA,98277,ISLAND,(360) 257-9500,Acute Care - Department of Defense,Department of Defense
+50969,SMOKEY POINT BEHAVIORAL HOSPITAL,3955 156TH ST NE,MARYSVILLE,WA,98271,SNOHOMISH,(212) 243-5565,Psychiatric,Proprietary
+65228,ADVENTIST HEALTHCARE WHITE OAK MEDICAL CENTER,12100 PLUM ORCHARD DRIVE,SILVER SPRING,MD,20904,MONTGOMERY,(301) 891-5651,Acute Care Hospitals,Voluntary non-profit - Private
+28485,MEMORIAL CARE MILLER CHILDREN'S &  WOMEN'S HOSP LB,2801 ATLANTIC AVENUE,LONG BEACH,CA,90806,LOS ANGELES,(562) 933-8001,Childrens,Voluntary non-profit - Other
+82422,ADVENTHEALTH LAKE WALES,410 S 11TH ST,LAKE WALES,FL,33853,POLK,(863) 676-1433,Acute Care Hospitals,Proprietary
+52770,HILL HOSPITAL OF SUMTER COUNTY,751 DERBY DRIVE,YORK,AL,36925,SUMTER,(205) 392-5263,Acute Care Hospitals,Voluntary non-profit - Other
+30570,MOUNT WASHINGTON PEDIATRIC HOSPITAL,1708 WEST ROGERS AVENUE,BALTIMORE,MD,21209,BALTIMORE CITY,(410) 578-5050,Childrens,Voluntary non-profit - Private
+18877,NEWARK BETH ISRAEL MEDICAL CENTER,201 LYONS AVE,NEWARK,NJ,7112,ESSEX,(973) 926-7850,Acute Care Hospitals,Voluntary non-profit - Private
+90454,HOLY CROSS HOSPITAL,2701 W 68TH STREET,CHICAGO,IL,60629,COOK,(773) 884-9000,Acute Care Hospitals,Voluntary non-profit - Private
+44961,DAVIS COUNTY HOSPITAL,509 NORTH MADISON STREET,BLOOMFIELD,IA,52537,DAVIS,(641) 664-2145,Critical Access Hospitals,Government - Local
+25482,CENTRAL FLORIDA BEHAVIORAL HOSPITAL,6601 CENTRAL FLORIDA PARKWAY,ORLANDO,FL,32821,ORANGE,(407) 370-0111,Psychiatric,Proprietary
+52262,FRANCES MAHON DEACONESS HOSPITAL,621 3RD ST S,GLASGOW,MT,59230,VALLEY,(406) 228-3500,Critical Access Hospitals,Voluntary non-profit - Private
+45484,81st Medical Group (Keesler AFB),81 MDG 301 Fisher St. Suite 109,Biloxi,MS,39530,HARRISON,(228) 377-6393,Acute Care - Department of Defense,Department of Defense
+45769,PIONEER MEMORIAL HOSPITAL,564 E PIONEER DRIVE,HEPPNER,OR,97836,MORROW,(541) 676-9133,Critical Access Hospitals,Government - Hospital District or Authority
+17647,AIKEN REGIONAL MEDICAL CENTER,302 UNIVERSITY PARKWAY,AIKEN,SC,29801,AIKEN,(803) 641-5900,Acute Care Hospitals,Proprietary
+88102,FOUR COUNTY COUNSELING CENTER,1015 MICHIGAN AVE,LOGANSPORT,IN,46947,CASS,(574) 722-5151,Psychiatric,Voluntary non-profit - Private
+40531,HIGHPOINT HEALTH,600 WILSON CREEK RD,LAWRENCEBURG,IN,47025,DEARBORN,(812) 537-1010,Acute Care Hospitals,Government - Local
+12350,PRISMA HEALTH BAPTIST PARKRIDGE,400 PALMETTO HEALTH PARKWAY,COLUMBIA,SC,29212,LEXINGTON,(803) 907-7011,Acute Care Hospitals,Voluntary non-profit - Private
+24483,ST JOSEPH'S HOSPITAL,45 WEST 10TH STREET,SAINT PAUL,MN,55102,RAMSEY,(651) 232-3000,Acute Care Hospitals,Voluntary non-profit - Private
+33239,NATCHAUG HOSPITAL,189 STORRS RD,MANSFIELD CENTER,CT,6250,TOLLAND,(860) 456-1311,Psychiatric,Voluntary non-profit - Private
+15859,MEMORIAL HERMANN NORTHEAST HOSPITAL,18951 MEMORIAL NORTH,HUMBLE,TX,77338,HARRIS,(281) 540-7700,Acute Care Hospitals,Voluntary non-profit - Private
+59514,PERMIAN REGIONAL MEDICAL CENTER ANDREWS COUNTY HO,720 HOSPITAL DRIVE,ANDREWS,TX,79714,ANDREWS,(432) 523-2200,Acute Care Hospitals,Government - Hospital District or Authority
+44494,PHOENIXVILLE HOSPITAL,140 NUTT ROAD,PHOENIXVILLE,PA,19460,CHESTER,(610) 983-1000,Acute Care Hospitals,Proprietary
+19109,HAZARD ARH REGIONAL MEDICAL CENTER,100 MEDICAL CENTER DRIVE,HAZARD,KY,41701,PERRY,(606) 439-6600,Acute Care Hospitals,Voluntary non-profit - Private
+15601,IROQUOIS MEMORIAL HOSPITAL,200 FAIRMAN STREET,WATSEKA,IL,60970,IROQUOIS,(815) 432-5201,Acute Care Hospitals,Voluntary non-profit - Private
+88959,HANSEN FAMILY HOSPITAL,920 SOUTH OAK STREET,IOWA FALLS,IA,50126,HARDIN,(641) 648-4631,Critical Access Hospitals,Government - Local
+79020,COMPASS BEHAVIORAL CENTER OF LAFAYETTE,312 YOUNGSVILLE HIGHWAY,LAFAYETTE,LA,70508,LAFAYETTE,(337) 534-4655,Psychiatric,Proprietary
+13958,ST JOSEPH MEDICAL CENTER,2500 BERNVILLE ROAD,READING,PA,19605,BERKS,(610) 378-2000,Acute Care Hospitals,Voluntary non-profit - Church
+23953,FERRELL HOSPITAL COMMUNITY FOUNDATIONS,1201 PINE STREET,ELDORADO,IL,62930,SALINE,(618) 273-3361,Critical Access Hospitals,Voluntary non-profit - Private
+30430,TAHOE FOREST HOSPITAL,10121 PINE AVE,TRUCKEE,CA,96161,NEVADA,(530) 587-6011,Critical Access Hospitals,Government - Hospital District or Authority
+88512,COLUMBIA MEMORIAL HOSPITAL,2111 EXCHANGE STREET,ASTORIA,OR,97103,CLATSOP,(503) 325-4321,Critical Access Hospitals,Proprietary
+62838,ASCENSION COLUMBIA ST MARY'S HOSPITAL OZAUKEE,13111 N PORT WASHINGTON RD,MEQUON,WI,53097,OZAUKEE,(414) 585-1374,Acute Care Hospitals,Voluntary non-profit - Church
+84915,MISSISSIPPI BAPTIST MEDICAL CENTER,1225 N STATE ST,JACKSON,MS,39202,HINDS,(601) 968-1000,Acute Care Hospitals,Voluntary non-profit - Private
+76543,AUXILIO MUTUO HOSPITAL,PONCE DE LEON AVENUE STOP 37 1/2,HATO REY,PR,918,SAN JUAN,(787) 758-2000,Acute Care Hospitals,Voluntary non-profit - Private
+64105,"CIRCLES OF CARE, INC",400 E SHERIDAN RD,MELBOURNE,FL,32901,BREVARD,(321) 984-4900,Psychiatric,Voluntary non-profit - Private
+60098,LUTHERAN HOSPITAL OF INDIANA,7950 W JEFFERSON BLVD,FORT WAYNE,IN,46804,ALLEN,(260) 435-7001,Acute Care Hospitals,Proprietary
+43602,USC VERDUGO HILLS HOSPITAL,1812 VERDUGO BLVD,GLENDALE,CA,91209,LOS ANGELES,(818) 790-7100,Acute Care Hospitals,Voluntary non-profit - Private
+12667,BRAXTON COUNTY MEMORIAL HOSPITAL,100 HOYLMAN DRIVE,GASSAWAY,WV,26624,BRAXTON,(304) 364-5156,Critical Access Hospitals,Voluntary non-profit - Private
+49997,SULLIVAN COUNTY MEMORIAL HOSPITAL,630 WEST THIRD STREET,MILAN,MO,63556,SULLIVAN,(660) 265-4212,Critical Access Hospitals,Government - Local
+14590,CENTRAL DUPAGE HOSPITAL,25 NORTH WINFIELD ROAD,WINFIELD,IL,60190,DU PAGE,(630) 682-1600,Acute Care Hospitals,Voluntary non-profit - Private
+75658,UTAH STATE HOSPITAL,1300 EAST CENTER STREET,PROVO,UT,84605,UTAH,(801) 344-4400,Psychiatric,Government - State
+26270,SCOTTSDALE OSBORN MEDICAL CENTER,7400 EAST OSBORN ROAD,SCOTTSDALE,AZ,85251,MARICOPA,(480) 882-4004,Acute Care Hospitals,Proprietary
+17258,REGIONAL WEST GARDEN COUNTY HOSPITAL,1100 WEST 2ND ST,OSHKOSH,NE,69154,GARDEN,(308) 772-3283,Critical Access Hospitals,Voluntary non-profit - Private
+19733,DECATUR COUNTY HOSPITAL,810 W  COLUMBIA STREET,OBERLIN,KS,67749,DECATUR,(785) 475-2208,Critical Access Hospitals,Voluntary non-profit - Private
+82328,RIVERWOODS BEHAVIORAL HEALTH SYSTEM,223 MEDICAL CENTER DRIVE,RIVERDALE,GA,30274,CLAYTON,(770) 991-8500,Psychiatric,Proprietary
+17004,BACON COUNTY HOSPITAL,302 SOUTH WAYNE STREET,ALMA,GA,31510,BACON,(912) 632-8961,Critical Access Hospitals,Voluntary non-profit - Other
+28988,SINAI-GRACE HOSPITAL,6071 W OUTER DRIVE,DETROIT,MI,48235,WAYNE,(313) 966-3300,Acute Care Hospitals,Proprietary
+12176,HENRY FORD HOSPITAL,2799 W GRAND BLVD,DETROIT,MI,48202,WAYNE,(313) 916-2600,Acute Care Hospitals,Voluntary non-profit - Private
+28302,Darnall AMC (FT Hood),36000 Darnall Loop,Fort Hood,TX,76544,BELL,(254) 288-8000,Acute Care - Department of Defense,Department of Defense
+77207,SAINT CLARE'S HOSPITAL/ DENVILLE CAMPUS,25 POCONO ROAD,DENVILLE,NJ,7834,MORRIS,(973) 983-5569,Acute Care Hospitals,Proprietary
+73275,HOSPITAL MENONITA GUAYAMA,AVE. PEDRO ALBIZU CAMPOS URB. LA HACIENDA,GUAYAMA,PR,785,GUAYANILLA,(787) 864-4300,Acute Care Hospitals,Voluntary non-profit - Church
+31909,ADVENTHEALTH CENTRAL TEXAS,2201 S CLEAR CREEK ROAD,KILLEEN,TX,76542,BELL,(254) 526-7523,Acute Care Hospitals,Voluntary non-profit - Church
+36206,WAYNE MEMORIAL HOSPITAL,2700 WAYNE MEMORIAL DR,GOLDSBORO,NC,27534,WAYNE,(919) 736-1110,Acute Care Hospitals,Voluntary non-profit - Private
+24960,PIONEERS MEDICAL CENTER,100 PIONEERS MEDICAL CENTER DR,MEEKER,CO,81641,RIO BLANCO,(970) 878-5047,Critical Access Hospitals,Government - Hospital District or Authority
+89609,WELLSPAN EPHRATA COMMUNITY HOSPITAL,169 MARTIN AVENUE,EPHRATA,PA,17522,LANCASTER,(717) 733-0311,Acute Care Hospitals,Voluntary non-profit - Other
+61947,MEDICAL CITY WEATHERFORD,713 E ANDERSON ST,WEATHERFORD,TX,76086,PARKER,(817) 599-1190,Acute Care Hospitals,Proprietary
+51371,BEAUMONT HOSPITAL - WAYNE,33155 ANNAPOLIS AVE,WAYNE,MI,48184,WAYNE,(734) 467-4175,Acute Care Hospitals,Voluntary non-profit - Private
+34416,ALASKA REGIONAL HOSPITAL,2801 DEBARR ROAD,ANCHORAGE,AK,99508,ANCHORAGE,(907) 276-1131,Acute Care Hospitals,Proprietary
+38980,MEMORIAL HEALTHCARE,826 WEST KING STREET,OWOSSO,MI,48867,SHIAWASSEE,(989) 723-5211,Acute Care Hospitals,Voluntary non-profit - Other
+74784,WEEKS MEDICAL CENTER,173 MIDDLE STREET,LANCASTER,NH,3584,COOS,(603) 788-4911,Critical Access Hospitals,Voluntary non-profit - Private
+32223,"COMPASS BEHAVIORAL CENTER OF ALEXANDRIA, INC",6410 MASONIC DRIVE,ALEXANDRIA,LA,71301,RAPIDES,(318) 442-3163,Psychiatric,Proprietary
+84161,CENTRAL VALLEY MEDICAL CENTER - CAH,48 WEST 1500 NORTH,NEPHI,UT,84648,JUAB,(435) 623-3000,Critical Access Hospitals,Voluntary non-profit - Private
+16891,PENOBSCOT BAY MEDICAL CENTER,6 GLEN COVE DRIVE,ROCKPORT,ME,4856,KNOX,(207) 921-8000,Acute Care Hospitals,Voluntary non-profit - Private
+54785,COMMUNITY MEMORIAL HOSPITAL,1755 NORTH MECKLENBURG AVENUE,SOUTH HILL,VA,23970,MECKLENBURG,(434) 447-3151,Acute Care Hospitals,Voluntary non-profit - Private
+61771,LAFAYETTE SURGICAL SPECIALTY HOSPITAL,1101 KALISTE SALOOM RD,LAFAYETTE,LA,70508,LAFAYETTE,(337) 769-4100,Acute Care Hospitals,Proprietary
+41166,ST VINCENT HOSPITAL,835 S VAN BUREN ST,GREEN BAY,WI,54301,BROWN,(920) 433-0111,Acute Care Hospitals,Voluntary non-profit - Church
+82617,FORT MADISON COMMUNITY HOSPITAL,5445 AVE O,FORT MADISON,IA,52627,LEE,(319) 372-6530,Acute Care Hospitals,Voluntary non-profit - Private
+32030,RANKEN JORDAN PEDIATRIC BRIDGE HOSPITAL,11365 DORSETT ROAD,MARYLAND HEIGHTS,MO,63043,ST. LOUIS,(314) 872-6400,Childrens,Voluntary non-profit - Private
+21747,OCHSNER ST ANNE GENERAL HOSPITAL,4608 HIGHWAY 1,RACELAND,LA,70394,LAFOURCHE,(985) 537-8377,Critical Access Hospitals,Voluntary non-profit - Private
+86763,COMMUNITY HOSPITAL,2000 CAMPBELL DRIVE,TORRINGTON,WY,82240,GOSHEN,(307) 532-4181,Critical Access Hospitals,Voluntary non-profit - Private
+63368,PIONEER MEMORIAL HOSPITAL - CAH,315 N WASHINGTON AVE  POST OFFICE BOX 368,VIBORG,SD,57070,TURNER,(605) 326-5161,Critical Access Hospitals,Voluntary non-profit - Private
+65937,TEXAS GENERAL HOSPITAL- VZRMC LP,707 N WALDRIP ST,GRAND SALINE,TX,75140,VAN ZANDT,(903) 962-5200,Acute Care Hospitals,Proprietary
+59809,HIGHLAND DISTRICT HOSPITAL,1275 NORTH HIGH STREET,HILLSBORO,OH,45133,HIGHLAND,(937) 393-6100,Critical Access Hospitals,Government - Hospital District or Authority
+57978,CLARKS SUMMIT STATE HOSPITAL,1451 HILLSIDE DRIVE,CLARKS SUMMIT,PA,18411,LACKAWANNA,(570) 586-2011,Psychiatric,Government - State
+14536,KANSAS MEDICAL CENTER LLC,1124 WEST 21ST STREET,ANDOVER,KS,67002,BUTLER,(316) 300-4000,Acute Care Hospitals,Proprietary
+29606,LAKE NORMAN REGIONAL MEDICAL CENTER,171 FAIRVIEW ROAD,MOORESVILLE,NC,28117,IREDELL,(704) 660-4000,Acute Care Hospitals,Proprietary
+32456,NORTHERN LOUISIANA MEDICAL CENTER,401 EAST VAUGHN AVENUE,RUSTON,LA,71270,LINCOLN,(318) 254-2100,Acute Care Hospitals,Proprietary
+87780,FAIRVIEW HOSPITAL,29 LEWIS AVENUE,GREAT BARRINGTON,MA,1230,BERKSHIRE,(413) 528-0790,Critical Access Hospitals,Voluntary non-profit - Private
+32006,UPMC LITITZ,1500 HIGHLANDS DRIVE,LITITZ,PA,17543,LANCASTER,(717) 625-5670,Acute Care Hospitals,Proprietary
+56714,PRISMA HEALTH LAURENS COUNTY HOSPITAL,22725 HIGHWAY 76 EAST,CLINTON,SC,29325,LAURENS,(864) 833-9100,Acute Care Hospitals,Voluntary non-profit - Private
+83589,PALO VERDE HOSPITAL,250 NORTH FIRST STREET,BLYTHE,CA,92225,RIVERSIDE,(760) 922-4115,Acute Care Hospitals,Government - Hospital District or Authority
+47293,MARTHA JEFFERSON HOSPITAL,500 MARTHA JEFFERSON DRIVE,CHARLOTTESVILLE,VA,22911,ALBEMARLE,(434) 654-7000,Acute Care Hospitals,Voluntary non-profit - Private
+18065,BEAVER COUNTY MEMORIAL HOSPITAL,212 EAST 8TH STREET,BEAVER,OK,73932,BEAVER,(580) 625-4551,Critical Access Hospitals,Government - Hospital District or Authority
+72723,GIBSON GENERAL HOSPITAL,1808 SHERMAN DR,PRINCETON,IN,47670,GIBSON,(812) 385-3401,Critical Access Hospitals,Voluntary non-profit - Private
+33347,UNIVERSITY HOSPITAL MCDUFFIE,2460 WASHINGTON ROAD,THOMSON,GA,30824,MC DUFFIE,(706) 595-1411,Acute Care Hospitals,Government - Hospital District or Authority
+86275,SAINT AGNES MEDICAL CENTER,1303 E HERNDON AVE,FRESNO,CA,93710,FRESNO,(559) 450-3000,Acute Care Hospitals,Voluntary non-profit - Church
+44158,TEXAS SCOTTISH RITE HOSPITAL FOR CHILDREN,2222 WELBORN STREET,DALLAS,TX,75219,DALLAS,(214) 559-5000,Childrens,Voluntary non-profit - Private
+35866,BARIX CLINICS OF PENNSYLVANIA,280 MIDDLETOWN ROAD,LANGHORNE,PA,19047,BUCKS,(267) 572-3100,Acute Care Hospitals,Proprietary
+78439,HUTCHINSON REGIONAL MEDICAL CENTER INC,1701 E 23RD AVENUE,HUTCHINSON,KS,67502,RENO,(620) 665-2001,Acute Care Hospitals,Proprietary
+12922,CAPE FEAR VALLEY-BLADEN COUNTY HOSPITAL,501 SOUTH POPLAR STREET,ELIZABETHTOWN,NC,28337,BLADEN,(910) 862-5100,Critical Access Hospitals,Voluntary non-profit - Private
+93298,NORTHERN DUTCHESS HOSPITAL,6511 SPRINGBROOK AVENUE,RHINEBECK,NY,12572,DUTCHESS,(845) 871-3391,Acute Care Hospitals,Voluntary non-profit - Private
+10504,ST FRANCIS HOSPITAL,3401 LUDINGTON ST,ESCANABA,MI,49829,DELTA,(906) 786-3311,Critical Access Hospitals,Voluntary non-profit - Church
+38933,BELLEVUE MEDICAL CENTER,2500 BELLEVUE MEDICAL CENTER DR,BELLEVUE,NE,68123,SARPY,(402) 763-3600,Acute Care Hospitals,Proprietary
+18577,STEELE MEMORIAL MEDICAL CENTER,203 SOUTH DAISY STREET,SALMON,ID,83467,LEMHI,(208) 756-5600,Critical Access Hospitals,Government - Local
+37670,CITRUS MEMORIAL HOSPITAL,502 W HIGHLAND BLVD,INVERNESS,FL,34452,CITRUS,(352) 726-1551,Acute Care Hospitals,Government - Hospital District or Authority
+81152,HCA HOUSTON HEALTHCARE PEARLAND,11100 SHADOW CREEK PARKWAY,PEARLAND,TX,77584,BRAZORIA,(713) 770-7000,Acute Care Hospitals,Proprietary
+65266,HAMPTON REGIONAL MEDICAL CENTER,595 WEST CAROLINA AVENUE,VARNVILLE,SC,29944,HAMPTON,(803) 943-2771,Acute Care Hospitals,Voluntary non-profit - Private
+35155,LAKESIDE MEDICAL CENTER,39200 HOOKER HWY,BELLE GLADE,FL,33430,PALM BEACH,(561) 996-6571,Acute Care Hospitals,Government - Hospital District or Authority
+91350,CHERRY COUNTY HOSPITAL,"P O BOX 410, 510 NORTH GREEN ST",VALENTINE,NE,69201,CHERRY,(402) 376-2525,Critical Access Hospitals,Government - Local
+64309,SOUTHERN TENNESSEE REGIONAL HEALTH SYSTEM PULASKI,1265 E COLLEGE ST,PULASKI,TN,38478,GILES,(931) 363-7531,Acute Care Hospitals,Proprietary
+68220,SANFORD MEDICAL CENTER MAYVILLE,42 6TH AVENUE SE,MAYVILLE,ND,58257,TRAILL,(701) 786-3800,Critical Access Hospitals,Voluntary non-profit - Private
+93406,ASSURANCE HEALTH HUDSON LLC,6260 HUDSON CROSSING PKWY,HUDSON,OH,44236,SUMMIT,(330) 208-9317,Psychiatric,Proprietary
+61427,ST JOSEPH HOSPITAL,1100 WEST STEWART DR,ORANGE,CA,92868,ORANGE,(714) 633-9111,Acute Care Hospitals,Voluntary non-profit - Church
+38843,SENECA DISTRICT HOSPITAL,130 BRENTWOOD DRIVE,CHESTER,CA,96020,PLUMAS,(530) 258-2121,Critical Access Hospitals,Voluntary non-profit - Other
+80427,ACMH HOSPITAL,ONE NOLTE DRIVE,KITTANNING,PA,16201,ARMSTRONG,(724) 543-8500,Acute Care Hospitals,Voluntary non-profit - Private
+41810,"WILLOUGH AT NAPLES, THE",9001 TAMIAMI TRAIL EAST,NAPLES,FL,34113,COLLIER,(941) 775-4500,Psychiatric,Proprietary
+26586,SALINE MEMORIAL HOSPITAL,#1 MEDICAL PARK DRIVE,BENTON,AR,72015,SALINE,(501) 776-6000,Acute Care Hospitals,Proprietary
+61003,MAYO CLINIC HEALTH SYSTEM - MANKATO,1025 MARSH STREET,MANKATO,MN,56001,BLUE EARTH,(507) 385-2646,Acute Care Hospitals,Voluntary non-profit - Private
+16268,WILSON MEDICAL CENTER,1705 S TARBORO ST,WILSON,NC,27893,WILSON,(252) 399-8040,Acute Care Hospitals,Voluntary non-profit - Private
+30106,TWIN LAKES REGIONAL MEDICAL CENTER,910 WALLACE AVENUE,LEITCHFIELD,KY,42754,GRAYSON,(270) 259-9400,Acute Care Hospitals,Voluntary non-profit - Other
+31561,SHANDS LAKE SHORE REGIONAL MEDICAL CENTER,368 NE FRANKLIN ST,LAKE CITY,FL,32055,COLUMBIA,(386) 292-8000,Acute Care Hospitals,Voluntary non-profit - Private
+21790,SOUTH POINTE HOSPITAL,20000 HARVARD ROAD,WARRENSVILLE HEIGHTS,OH,44122,CUYAHOGA,(216) 491-6000,Acute Care Hospitals,Voluntary non-profit - Other
+83484,SPRINGFIELD HOSPITAL,PO BOX 2003,SPRINGFIELD,VT,5156,WINDSOR,(802) 885-2151,Critical Access Hospitals,Voluntary non-profit - Private
+13718,RUSH UNIVERSITY MEDICAL CENTER,1653 WEST CONGRESS PARKWAY,CHICAGO,IL,60612,COOK,(312) 942-5000,Acute Care Hospitals,Voluntary non-profit - Private
+66753,KAISER FOUNDATION HOSPITAL - WESTSIDE,2875 NW STUCKI AVE,HILLSBORO,OR,97124,WASHINGTON,(971) 310-1000,Acute Care Hospitals,Voluntary non-profit - Private
+46675,MID-COLUMBIA MEDICAL CENTER,1700 E 19TH STREET,THE DALLES,OR,97058,WASCO,(541) 296-1111,Acute Care Hospitals,Voluntary non-profit - Other
+26047,LAKELAND BEHAVIORAL HEALTH SYSTEM,440 S MARKET,SPRINGFIELD,MO,65806,GREENE,(417) 865-5581,Psychiatric,Proprietary
+40533,NORTH MISSISSIPPI MEDICAL CENTER-WEST POINT,150 MEDICAL CENTER DRIVE,WEST POINT,MS,39773,CLAY,(662) 495-2300,Acute Care Hospitals,Voluntary non-profit - Private
+87941,MEMORIAL MEDICAL CENTER,1700 COFFEE RD,MODESTO,CA,95355,STANISLAUS,(209) 526-4500,Acute Care Hospitals,Voluntary non-profit - Private
+75610,NEOSHO MEMORIAL REGIONAL MEDICAL CENTER,629 SOUTH PLUMMER,CHANUTE,KS,66720,NEOSHO,(620) 431-4000,Critical Access Hospitals,Government - Local
+33855,MADELIA COMMUNITY HOSPITAL,121 DREW AVENUE SOUTHEAST,MADELIA,MN,56062,WATONWAN,(507) 642-3255,Critical Access Hospitals,Voluntary non-profit - Other
+10611,THE BEHAVIORAL CENTER OF MICHIGAN,4050 E 12 MILE ROAD,WARREN,MI,48092,MACOMB,(586) 261-2266,Psychiatric,Proprietary
+54296,SANFORD WESTBROOK MEDICAL CENTER,920 BELL AVENUE PO BOX 188,WESTBROOK,MN,56183,COTTONWOOD,(507) 274-1119,Critical Access Hospitals,Voluntary non-profit - Private
+59391,EXCELA HEALTH WESTMORELAND HOSPITAL,532 WEST PITTSBURGH STREET,GREENSBURG,PA,15601,WESTMORELAND,(724) 832-4000,Acute Care Hospitals,Voluntary non-profit - Other
+17387,HOUSTON MEDICAL CENTER,1601 WATSON BOULEVARD,WARNER ROBINS,GA,31093,HOUSTON,(478) 922-4281,Acute Care Hospitals,Voluntary non-profit - Private
+40918,BAYFRONT HEALTH SEVEN RIVERS,6201 N SUNCOAST BLVD,CRYSTAL RIVER,FL,34428,CITRUS,(352) 795-6560,Acute Care Hospitals,Proprietary
+76113,SLIDELL MEMORIAL HOSPITAL,1001 GAUSE BLVD,SLIDELL,LA,70458,ST. TAMMANY,(985) 643-2200,Acute Care Hospitals,Government - Hospital District or Authority
+57203,HEMET VALLEY MEDICAL CENTER,1117 EAST DEVONSHIRE,HEMET,CA,92543,RIVERSIDE,(951) 652-2811,Acute Care Hospitals,Physician
+45788,CHILD & ADOLESCENT BEHAVIORAL HEALTH SERVICES,1701 TECHNOLOGY DRIVE NE,WILLMAR,MN,56201,KANDIYOHI,(320) 231-5405,Psychiatric,Government - State
+33865,HAYWARD AREA MEMORIAL HOSPITAL,11040 N STATE RD 77,HAYWARD,WI,54843,SAWYER,(715) 934-4321,Critical Access Hospitals,Voluntary non-profit - Private
+73910,OLD VINEYARD YOUTH SERVICES,3637 OLD VINEYARD ROAD,WINSTON SALEM,NC,27104,FORSYTH,(336) 794-3550,Psychiatric,Proprietary
+57761,GROVE CITY MEDICAL CENTER,631 NORTH BROAD STREET EXT.,GROVE CITY,PA,16127,MERCER,(724) 450-7000,Acute Care Hospitals,Voluntary non-profit - Private
+13901,BAPTIST HEALTH MEDICAL CENTER NORTH LITTLE ROCK,3333 SPRINGHILL DRIVE,NORTH LITTLE ROCK,AR,72117,PULASKI,(501) 202-3000,Acute Care Hospitals,Voluntary non-profit - Private
+13477,ST GABRIELS HOSPITAL,815 SOUTHEAST SECOND STREET,LITTLE FALLS,MN,56345,MORRISON,(320) 632-5441,Critical Access Hospitals,Voluntary non-profit - Private
+81191,KENDALL REGIONAL MEDICAL CENTER,11750 BIRD RD,MIAMI,FL,33175,MIAMI-DADE,(305) 223-3000,Acute Care Hospitals,Proprietary
+39217,SOUTHEAST ALABAMA MEDICAL CENTER,1108 ROSS CLARK CIRCLE,DOTHAN,AL,36301,HOUSTON,(334) 793-8701,Acute Care Hospitals,Government - Hospital District or Authority
+12941,GETTYSBURG HOSPITAL,147 GETTYS STREET,GETTYSBURG,PA,17325,ADAMS,(717) 334-2121,Acute Care Hospitals,Voluntary non-profit - Other
+16815,CHILDREN'S HEALTHCARE OF ATLANTA AT SCOTTISH RITE,1001 JOHNSON FERRY ROAD,ATLANTA,GA,30342,FULTON,(404) 785-5252,Childrens,Voluntary non-profit - Other
+86606,MCLAREN NORTHERN MICHIGAN,416 CONNABLE AVE,PETOSKEY,MI,49770,EMMET,(231) 487-4000,Acute Care Hospitals,Voluntary non-profit - Other
+33578,COLLINGSWORTH GENERAL HOSPITAL,1013 15TH ST,WELLINGTON,TX,79095,COLLINGSWORTH,(806) 447-2521,Critical Access Hospitals,Proprietary
+23888,ST FRANCIS HOSPITAL & MEDICAL CENTER,114 WOODLAND STREET,HARTFORD,CT,6105,HARTFORD,(860) 714-4000,Acute Care Hospitals,Voluntary non-profit - Church
+48410,EAST LIVERPOOL CITY HOSPITAL,425 WEST 5TH STREET,EAST LIVERPOOL,OH,43920,COLUMBIANA,(330) 385-7200,Acute Care Hospitals,Voluntary non-profit - Private
+24760,MISSION COMMUNITY HOSPITAL,14850 ROSCOE BLVD,PANORAMA CITY,CA,91402,LOS ANGELES,(818) 904-3100,Acute Care Hospitals,Voluntary non-profit - Private
+21313,FORKS COMMUNITY HOSPITAL,530 BOGACHIEL WAY,FORKS,WA,98331,CLALLAM,(360) 374-6271,Critical Access Hospitals,Government - Hospital District or Authority
+34640,EL PASO CHILDREN'S HOSPITAL,4845 ALAMEDA AVENUE,EL PASO,TX,79905,EL PASO,(915) 521-7148,Childrens,Voluntary non-profit - Private
+94970,DEPT OF STATE HOSPITALS - NAPA,2100 NAPA-VALLEJO HIGHWAY,NAPA,CA,94558,NAPA,(707) 253-5000,Psychiatric,Government - State
+25064,RIVERSIDE SHORE MEMORIAL HOSPITAL,20480 MARKET STREET,ONANCOCK,VA,23417,ACCOMACK,(757) 414-8000,Acute Care Hospitals,Voluntary non-profit - Private
+28673,SHERIDAN COUNTY HOSPITAL,826  18TH STREET,HOXIE,KS,67740,SHERIDAN,(785) 675-3281,Critical Access Hospitals,Government - Local
+36332,TOUCHETTE REGIONAL HOSPITAL INC,5900 BOND AVENUE,CENTREVILLE,IL,62207,ST. CLAIR,(618) 332-3060,Acute Care Hospitals,Voluntary non-profit - Private
+92360,THE BROOK HOSPITAL - DUPONT,1405 BROWNS LANE,LOUISVILLE,KY,40207,JEFFERSON,(502) 896-0495,Psychiatric,Voluntary non-profit - Private
+92313,SAINT JOSEPH BEREA,305 ESTILL STREET,BEREA,KY,40403,MADISON,(859) 986-6500,Critical Access Hospitals,Voluntary non-profit - Private
+70510,VALLEY MEDICAL CENTER,400 S 43RD ST,RENTON,WA,98055,KING,(425) 228-3450,Acute Care Hospitals,Government - Hospital District or Authority
+65317,OCONOMOWOC MEMORIAL HOSPITAL,791 E SUMMIT AVE,OCONOMOWOC,WI,53066,WAUKESHA,(262) 569-9400,Acute Care Hospitals,Voluntary non-profit - Private
+71210,HILL CREST BEHAVIORAL HEALTH SERVICES,6869 FIFTH AVENUE SOUTH,BIRMINGHAM,AL,35212,JEFFERSON,(205) 833-9000,Psychiatric,Proprietary
+91625,ST VINCENT CLAY HOSPITAL INC,1206 E NATIONAL AVE,BRAZIL,IN,47834,CLAY,(812) 442-2500,Critical Access Hospitals,Voluntary non-profit - Private
+31509,WHITTIER PAVILION,76 SUMMER STREET,HAVERHILL,MA,1830,ESSEX,(978) 373-8222,Psychiatric,Proprietary
+69383,ST VINCENT SALEM HOSPITAL INC,911 N SHELBY ST,SALEM,IN,47167,WASHINGTON,(812) 883-5881,Critical Access Hospitals,Voluntary non-profit - Private
+73191,"SOUTHSIDE COMMUNITY HOSPITAL, INC",800 OAK STREET,FARMVILLE,VA,23901,PRINCE EDWARD,(434) 392-8811,Acute Care Hospitals,Voluntary non-profit - Other
+40955,WAYNE MEMORIAL HOSPITAL,865 SOUTH FIRST STREET,JESUP,GA,31545,WAYNE,(912) 530-3302,Acute Care Hospitals,Government - Hospital District or Authority
+48623,MONTEFIORE MEDICAL CENTER,111 EAST 210TH STREET,BRONX,NY,10467,BRONX,(718) 920-4321,Acute Care Hospitals,Voluntary non-profit - Private
+47396,CLARKE COUNTY HOSPITAL,800 S FILLMORE ST,OSCEOLA,IA,50213,CLARKE,(641) 342-2184,Critical Access Hospitals,Voluntary non-profit - Other
+70897,KAISER FOUNDATION HOSPITAL - SACRAMENTO,2025 MORSE AVENUE,SACRAMENTO,CA,95825,SACRAMENTO,(916) 973-5000,Acute Care Hospitals,Voluntary non-profit - Private
+79209,PRISMA HEALTH GREER MEMORIAL HOSPITAL,830 SOUTH BUNCOMBE ROAD,GREER,SC,29650,GREENVILLE,(864) 848-8200,Acute Care Hospitals,Voluntary non-profit - Private
+16269,RIVER PLACE BEHAVIORAL HEALTH,500 RUE DE SANTE,LA PLACE,LA,70068,ST. JOHN BAPTIST,(985) 444-5100,Psychiatric,Proprietary
+75892,DOCTORS HOSPITAL OF RIVERSIDE,3865 JACKSON STREET,RIVERSIDE,CA,92503,RIVERSIDE,(951) 688-2211,Acute Care Hospitals,Voluntary non-profit - Private
+79033,BETH ISRAEL DEACONESS HOSPITAL-MILTON INC,199 REEDSDALE ROAD,MILTON,MA,2186,NORFOLK,(617) 696-4600,Acute Care Hospitals,Government - Federal
+50808,ASCENSION RIVER DISTRICT HOSPITAL,4100 RIVER RD,EAST CHINA,MI,48054,ST. CLAIR,(810) 329-7111,Acute Care Hospitals,Government - Hospital District or Authority
+67023,CHILDREN'S MERCY HOSPITAL KANSAS,5808 W 110TH STREET,OVERLAND PARK,KS,66211,JOHNSON,(913) 234-3000,Childrens,Voluntary non-profit - Private
+48684,BELMONT PINES HOSPITAL,615 CHURCHILL-HUBBARD RD,YOUNGSTOWN,OH,44505,MAHONING,(330) 759-2700,Psychiatric,Proprietary
+68207,WILCOX MEMORIAL HOSPITAL,3-3420 KUHIO HIGHWAY,LIHUE,HI,96766,KAUAI,(808) 245-1103,Acute Care Hospitals,Government - Federal
+41896,NORTHLAKE BEHAVIORAL HEALTH SYSTEM,23515 HIGHWAY 190,MANDEVILLE,LA,70448,ST. TAMMANY,(985) 626-6300,Psychiatric,Voluntary non-profit - Private
+35711,BUCKTAIL MEDICAL CENTER,1001 PINE STREET,RENOVO,PA,17764,CLINTON,(570) 923-1000,Critical Access Hospitals,Voluntary non-profit - Private
+16174,UNIVERSITY OF TOLEDO MEDICAL CENTER,3000 ARLINGTON AVENUE,TOLEDO,OH,43699,LUCAS,(419) 383-4848,Acute Care Hospitals,Government - State
+61220,SPOTSYLVANIA REGIONAL MEDICAL CENTER,4600 SPOTSYLVANIA PARKWAY,FREDERICKSBURG,VA,22408,SPOTSYLVANIA,(540) 498-4000,Acute Care Hospitals,Proprietary
+19736,"ASCENSION VIA CHRISTI HOSPITAL MANHATTAN, INC",1823 COLLEGE AVE,MANHATTAN,KS,66502,RILEY,(785) 776-2831,Acute Care Hospitals,Voluntary non-profit - Church
+11795,JONES MEMORIAL HOSPITAL,191 NORTH MAIN STREET,WELLSVILLE,NY,14895,ALLEGANY,(585) 593-1100,Acute Care Hospitals,Voluntary non-profit - Private
+58360,ZUCKERBERG SAN FRANCISCO GENERAL HOSP & TRAUMA CTR,1001 POTRERO AVENUE,SAN FRANCISCO,CA,94110,SAN FRANCISCO,(415) 206-8000,Acute Care Hospitals,Government - Local
+72352,BROWARD HEALTH CORAL SPRINGS,3000 CORAL HILLS DR,CORAL SPRINGS,FL,33065,BROWARD,(954) 344-3000,Acute Care Hospitals,Government - Hospital District or Authority
+59585,ORO VALLEY HOSPITAL,1551 EAST TANGERINE ROAD,ORO VALLEY,AZ,85755,PIMA,(520) 901-3549,Acute Care Hospitals,Proprietary
+29398,MENTAL HEALTH SERVICES FOR CLARK AND MADISON COS,474 NORTH YELLOW SPRINGS STREET,SPRINGFIELD,OH,45504,CLARK,(937) 399-9500,Psychiatric,Proprietary
+10978,LANAI COMMUNITY HOSPITAL,628 7TH STREET,LANAI CITY,HI,96763,MAUI,(808) 565-8450,Critical Access Hospitals,Government - State
+62024,TYLER MEMORIAL HOSPITAL,5950 STATE ROUTE 6 WEST,TUNKHANNOCK,PA,18657,WYOMING,(570) 836-2161,Acute Care Hospitals,Proprietary
+26887,DIMMIT REGIONAL HOSPITAL,704 HOSPITAL DRIVE,CARRIZO SPRINGS,TX,78834,DIMMIT,(830) 876-2424,Critical Access Hospitals,Voluntary non-profit - Other
+81997,EISENHOWER MEDICAL CENTER,39-000 BOB HOPE DRIVE,RANCHO MIRAGE,CA,92270,RIVERSIDE,(760) 340-3911,Acute Care Hospitals,Proprietary
+39953,ST LUKE'S HOSPITAL - MONROE CAMPUS,100 ST LUKE'S LANE,STROUDSBURG,PA,18360,MONROE,(272) 212-1000,Acute Care Hospitals,Voluntary non-profit - Private
+12101,PUTNAM GENERAL HOSPITAL,101 LAKE OCONEE PARKWAY,EATONTON,GA,31024,PUTNAM,(706) 485-2711,Critical Access Hospitals,Government - Hospital District or Authority
+44030,MUNSON HEALTHCARE GRAYLING HOSPITAL,1100 E MICHIGAN AVE,GRAYLING,MI,49738,CRAWFORD,(989) 348-5461,Acute Care Hospitals,Voluntary non-profit - Church
+23271,MAYO CLINIC HEALTH SYSTEM - LAKE CITY,500 WEST GRANT STREET,LAKE CITY,MN,55041,WABASHA,(651) 345-5955,Critical Access Hospitals,Voluntary non-profit - Private
+56541,PROVIDENCE TARZANA MEDICAL CENTER,18321 CLARK STREET,TARZANA,CA,91356,LOS ANGELES,(818) 881-0800,Acute Care Hospitals,Voluntary non-profit - Private
+47196,CARSON VALLEY MEDICAL CENTER,1107 HIGHWAY 395,GARDNERVILLE,NV,89410,DOUGLAS,(775) 782-1500,Critical Access Hospitals,Voluntary non-profit - Private
+33919,SOUTHWEST MEMORIAL HOSPITAL,1311 N MILDRED RD,CORTEZ,CO,81321,MONTEZUMA,(970) 565-6666,Critical Access Hospitals,Voluntary non-profit - Private
+14200,ST JUDE CHILDRENS RESEARCH HOSPITAL,262 DANNY THOMAS PLACE,MEMPHIS,TN,38105,SHELBY,(901) 495-3300,Childrens,Voluntary non-profit - Private
+37327,SALEM MEDICAL CENTER,310 WOODSTOWN ROAD,SALEM,NJ,8079,SALEM,(856) 935-1000,Acute Care Hospitals,Voluntary non-profit - Private
+19518,SAINT JOSEPH EAST,150 NORTH EAGLE CREEK DRIVE,LEXINGTON,KY,40509,FAYETTE,(859) 967-5000,Acute Care Hospitals,Voluntary non-profit - Private
+29379,LAKE BUTLER HOSPITAL,850 E MAIN ST,LAKE BUTLER,FL,32054,UNION,(386) 496-2323,Critical Access Hospitals,Proprietary
+59824,LAWRENCE GENERAL HOSPITAL,ONE GENERAL STREET,LAWRENCE,MA,1842,ESSEX,(978) 683-4000,Acute Care Hospitals,Voluntary non-profit - Private
+74894,MAINE MEDICAL CENTER,22 BRAMHALL ST,PORTLAND,ME,4102,CUMBERLAND,(207) 662-0111,Acute Care Hospitals,Voluntary non-profit - Private
+39952,COMMUNITY HOSPITAL,"P O BOX 1328, 1301 EAST H ST",MCCOOK,NE,69001,RED WILLOW,(308) 344-2650,Critical Access Hospitals,Voluntary non-profit - Other
+87219,OPTIONS BEHAVIORAL HEALTH SYSTEM,5602 CAITO DRIVE,INDIANAPOLIS,IN,46226,MARION,(317) 544-4340,Psychiatric,Proprietary
+77817,ST AGNES HOSPITAL,430 E DIVISION ST,FOND DU LAC,WI,54935,FOND DU LAC,(920) 929-2300,Acute Care Hospitals,Voluntary non-profit - Private
+20306,MINERAL COMMUNITY HOSPITAL,1208 6TH AVE E,SUPERIOR,MT,59872,MINERAL,(406) 822-4841,Critical Access Hospitals,Voluntary non-profit - Private
+19422,HAMMOND HENRY HOSPITAL,600 N COLLEGE AVENUE,GENESEO,IL,61254,HENRY,(309) 944-6431,Critical Access Hospitals,Government - Hospital District or Authority
+23801,KANAKANAK HOSPITAL,P O BOX 130,DILLINGHAM,AK,99576,DILLINGHAM,(907) 842-5201,Critical Access Hospitals,Voluntary non-profit - Private
+22134,OCEANS BEHAVIORAL HOSPITAL OF GREATER NEW ORLEANS,716 VILLAGE ROAD,KENNER,LA,70065,JEFFERSON,(504) 464-8895,Psychiatric,Proprietary
+82006,BELLIN HEALTH OCONTO HOSPITAL,820 ARBUTUS AVE,OCONTO,WI,54153,OCONTO,(920) 835-1101,Critical Access Hospitals,Voluntary non-profit - Private
+68692,NEW YORK STATE PSYCHIATRIC INSTITUTE,722 W 168TH ST,NEW YORK,NY,10032,NEW YORK,(212) 543-5000,Psychiatric,Government - State
+71418,AURORA MEDICAL CENTER,975 PORT WASHINGTON ROAD,GRAFTON,WI,53024,OZAUKEE,(262) 329-1000,Acute Care Hospitals,Voluntary non-profit - Private
+71615,REGIONAL HEALTH SPEARFISH HOSPITAL,1440 N MAIN ST,SPEARFISH,SD,57783,LAWRENCE,(605) 644-4000,Acute Care Hospitals,Voluntary non-profit - Private
+37484,BROWNFIELD REGIONAL MEDICAL CENTER,705 EAST FELT STREET,BROWNFIELD,TX,79316,TERRY,(806) 637-3551,Acute Care Hospitals,Government - Hospital District or Authority
+33925,PARKRIDGE MEDICAL CENTER,2333 MCCALLIE AVE,CHATTANOOGA,TN,37404,HAMILTON,(423) 894-4220,Acute Care Hospitals,Proprietary
+77145,OCEAN VIEW PSYCHIATRIC HEALTH FACILITY,"2600 REDONDO AVENUE, SUITE 500",LONG BEACH,CA,90806,LOS ANGELES,(714) 614-0474,Psychiatric,Proprietary
+73701,CASTLE ROCK ADVENTIST HOSPITAL,2350 MEADOWS BLVD,CASTLE ROCK,CO,80109,DOUGLAS,(720) 455-2500,Acute Care Hospitals,Voluntary non-profit - Private
+23234,BROOKE GLEN BEHAVIORAL HOSPITAL,7170 LAFAYETTE AVENUE,FORT WASHINGTON,PA,19034,MONTGOMERY,(215) 641-5300,Psychiatric,Voluntary non-profit - Private
+66340,RUSH OAK PARK HOSPITAL,520 S MAPLE AVE,OAK PARK,IL,60304,COOK,(708) 383-9300,Acute Care Hospitals,Voluntary non-profit - Church
+24877,OWENSBORO HEALTH REGIONAL HOSPITAL,1201 PLEASANT VALLEY ROAD,OWENSBORO,KY,42303,DAVIESS,(270) 417-2000,Acute Care Hospitals,Voluntary non-profit - Private
+66675,SILOAM SPRINGS REGIONAL HOSPITAL,603 NORTH PROGRESS AVENUE,SILOAM SPRINGS,AR,72761,BENTON,(479) 524-4141,Acute Care Hospitals,Voluntary non-profit - Other
+19894,"DEWITT HOSPITAL & NURSING HOME, INC",1641 WHITEHEAD DRIVE,DE WITT,AR,72042,ARKANSAS,(870) 946-3571,Critical Access Hospitals,Voluntary non-profit - Private
+53482,BAYSTATE NOBLE HOSPITAL,115 WEST SILVER STREET,WESTFIELD,MA,1085,HAMPDEN,(413) 568-2811,Acute Care Hospitals,Voluntary non-profit - Private
+37949,MERIT HEALTH RIVER OAKS,1030 RIVER OAKS DRIVE,FLOWOOD,MS,39232,RANKIN,(601) 932-1030,Acute Care Hospitals,Proprietary
+87302,AU MEDICAL CENTER,1120 15TH STREET,AUGUSTA,GA,30912,RICHMOND,(706) 721-6569,Acute Care Hospitals,Voluntary non-profit - Other
+64287,PROVIDENCE MILWAUKIE HOSPITAL,10150 SE 32ND AVENUE,MILWAUKIE,OR,97222,CLACKAMAS,(503) 513-8336,Acute Care Hospitals,Voluntary non-profit - Church
+92334,JOHNSON CITY MEDICAL CENTER,400 N STATE OF FRANKLIN RD,JOHNSON CITY,TN,37604,WASHINGTON,(423) 431-6111,Acute Care Hospitals,Voluntary non-profit - Private
+76490,DAHL MEMORIAL HEALTHCARE ASSOC,215 SANDY ST,EKALAKA,MT,59324,CARTER,(406) 775-8739,Critical Access Hospitals,Voluntary non-profit - Private
+40249,TEMPLE UNIVERSITY HOSPITAL,3401 NORTH BROAD STREET,PHILADELPHIA,PA,19140,PHILADELPHIA,(215) 707-2000,Acute Care Hospitals,Voluntary non-profit - Private
+18389,ST VINCENT HEART CENTER OF INDIANA LLC,10580 N MERIDIAN ST,INDIANAPOLIS,IN,46290,HAMILTON,(317) 583-5000,Acute Care Hospitals,Proprietary
+43316,OKLAHOMA CENTER FOR ORTHOPAEDIC & MULTI-SP,8100 SOUTH WALKER BLDG C,OKLAHOMA CITY,OK,73139,OKLAHOMA,(405) 602-6500,Acute Care Hospitals,Proprietary
+51497,H C WATKINS MEMORIAL HOSPITAL INC,605 SOUTH ARCHUSA AVENUE,QUITMAN,MS,39355,CLARKE,(601) 776-6925,Critical Access Hospitals,Voluntary non-profit - Other
+43803,WOODLAND HEIGHTS MEDICAL CENTER,505 SOUTH JOHN REDDITT DRIVE,LUFKIN,TX,75904,ANGELINA,(936) 634-8311,Acute Care Hospitals,Proprietary
+94019,EASTERN OKLAHOMA MEDICAL CENTER,105 WALL STREET,POTEAU,OK,74953,LE FLORE,(918) 647-8161,Critical Access Hospitals,Government - Hospital District or Authority
+50390,MURRAY COUNTY MEMORIAL HOSPITAL,2042 JUNIPER AVENUE,SLAYTON,MN,56172,MURRAY,(507) 836-6111,Critical Access Hospitals,Government - Local
+74079,MOUNT SINAI SOUTH NASSAU,ONE HEALTHY WAY,OCEANSIDE,NY,11572,NASSAU,(516) 632-3000,Acute Care Hospitals,Voluntary non-profit - Private
+61545,HELEN NEWBERRY JOY HOSPITAL,502 W HARRIE ST,NEWBERRY,MI,49868,LUCE,(906) 293-9200,Critical Access Hospitals,Government - Local
+48789,FOUNDATION SURGICAL HOSPITAL OF SAN ANTONIO,9522 HUEBNER ROAD,SAN ANTONIO,TX,78240,BEXAR,(210) 478-5400,Acute Care Hospitals,Proprietary
+58406,PRINCETON COMMUNITY HOSPITAL,122 12TH STREET,PRINCETON,WV,24740,MERCER,(304) 487-7260,Acute Care Hospitals,Government - Local
+71693,"ASPIRUS IRON RIVER HOSPITAL & CLINICS, INC",1400 W ICE LAKE ROAD,IRON RIVER,MI,49935,IRON,(906) 265-6121,Critical Access Hospitals,Voluntary non-profit - Other
+58207,WARREN MEMORIAL HOSPITAL,905 SECOND ST,FRIEND,NE,68359,SALINE,(402) 947-2541,Critical Access Hospitals,Government - Local
+36658,MADISON PARISH HOSPITAL,900 JOHNSON STREET,TALLULAH,LA,71282,MADISON,(318) 574-2374,Critical Access Hospitals,Government - Hospital District or Authority
+25815,EASTERN STATE HOSPITAL,1350 BULL LEA ROAD,LEXINGTON,KY,40511,FAYETTE,(859) 246-8000,Psychiatric,Voluntary non-profit - Private
+39798,UHHS RICHMOND HEIGHTS HOSPITAL,27100 CHARDON ROAD,RICHMOND HEIGHTS,OH,44143,CUYAHOGA,(440) 585-6170,Acute Care Hospitals,Proprietary
+22469,RIVEREDGE HOSPITAL,8311 WEST ROOSEVELT ROAD,FOREST PARK,IL,60130,COOK,(708) 771-7000,Psychiatric,Proprietary
+44619,WAMEGO HEALTH CENTER,711 GENN DRIVE,WAMEGO,KS,66547,POTTAWATOMIE,(785) 456-2295,Critical Access Hospitals,Voluntary non-profit - Other
+83926,ATRIUM HEALTH UNIVERSITY CITY,8800 NORTH TYRON STREET,CHARLOTTE,NC,28262,MECKLENBURG,(704) 548-6000,Acute Care Hospitals,Government - Hospital District or Authority
+22097,"UNIVERSITY OF CINCINNATI MEDICAL CENTER, LLC",234 GOODMAN STREET,CINCINNATI,OH,45219,HAMILTON,(513) 584-1000,Acute Care Hospitals,Voluntary non-profit - Private
+12633,WILLOW CREEK BEHAVIORAL HEALTH,1351 ONTARIO RD,GREEN BAY,WI,54311,BROWN,(901) 328-1220,Psychiatric,Proprietary
+10122,GREAT RIVER MEDICAL CENTER,1221 SOUTH GEAR AVENUE,WEST BURLINGTON,IA,52655,DES MOINES,(319) 768-1000,Acute Care Hospitals,Voluntary non-profit - Private
+83049,ST JOHN'S EPISCOPAL HOSPITAL AT SOUTH SHORE,327 BEACH 19TH STREET,FAR ROCKAWAY,NY,11691,QUEENS,(718) 869-7000,Acute Care Hospitals,Voluntary non-profit - Church
+10639,CAROLINAS HEALTHCARE SYSTEM-BLUE RIDGE,2201 S STERLING ST,MORGANTON,NC,28655,BURKE,(828) 580-5000,Acute Care Hospitals,Proprietary
+28289,ASCENSION SACRED HEART GULF,3801 E HWY 98,PORT SAINT JOE,FL,32456,GULF,(850) 229-5600,Acute Care Hospitals,Voluntary non-profit - Private
+74729,CUYUNA REGIONAL MEDICAL CENTER,320 EAST MAIN STREET,CROSBY,MN,56441,CROW WING,(218) 546-2300,Critical Access Hospitals,Government - Hospital District or Authority
+75007,NEWTON MEDICAL CENTER,175 HIGH ST,NEWTON,NJ,7860,SUSSEX,(973) 579-8300,Acute Care Hospitals,Voluntary non-profit - Private
+29478,"BEHAVIORAL HEALTHCARE CENTER AT MEMPHIS, INC",1505 N SECOND STREET,MEMPHIS,TN,38107,SHELBY,(901) 791-0600,Psychiatric,Proprietary
+31726,ALBANY MEDICAL CENTER HOSPITAL,"43 NEW SCOTLAND AVENUE, MAIL CODE 34",ALBANY,NY,12208,ALBANY,(518) 262-2400,Acute Care Hospitals,Voluntary non-profit - Private
+78119,SAINT ROSE DOMINICAN HOSPITALS - ROSE DE LIMA,102 E LAKE MEAD DR,HENDERSON,NV,89015,CLARK,(702) 616-5000,Acute Care Hospitals,Voluntary non-profit - Church
+15125,OCH REGIONAL MEDICAL CENTER,400 HOSPITAL ROAD /MAIL PO BOX 1506,STARKVILLE,MS,39759,OKTIBBEHA,(662) 323-4320,Acute Care Hospitals,Government - Local
+24241,SOUTH TEXAS SURGICAL HOSPITAL,6130 PARKWAY DRIVE,CORPUS CHRISTI,TX,78414,NUECES,(361) 993-2000,Acute Care Hospitals,Proprietary
+39614,MASON DISTRICT HOSPITAL,"615 NORTH PROMENADE STREET,P O BOX 530",HAVANA,IL,62644,MASON,(309) 543-4431,Critical Access Hospitals,Government - Hospital District or Authority
+62861,CHI ST ALEXIUS HEALTH,900 E BROADWAY,BISMARCK,ND,58501,BURLEIGH,(701) 530-7000,Acute Care Hospitals,Voluntary non-profit - Church
+70160,MERCY HARVARD HOSPITAL,901 S GRANT STREET,HARVARD,IL,60033,MC HENRY,(815) 943-5431,Critical Access Hospitals,Voluntary non-profit - Private
+44112,ADVENTIST HEALTH ST HELENA,10 WOODLAND ROAD,SAINT HELENA,CA,94574,NAPA,(707) 963-3611,Acute Care Hospitals,Voluntary non-profit - Private
+80725,RENOWN REGIONAL MEDICAL CENTER,1155 MILL STREET,RENO,NV,89502,WASHOE,(775) 982-4100,Acute Care Hospitals,Voluntary non-profit - Private
+54236,ADAMS MEMORIAL HOSPITAL,1100 MERCER AVE,DECATUR,IN,46733,ADAMS,(260) 724-2145,Critical Access Hospitals,Government - Local
+14674,CUMBERLAND COUNTY HOSPITAL,299 GLASGOW ROAD,BURKESVILLE,KY,42717,CUMBERLAND,(270) 864-2511,Critical Access Hospitals,Government - Local
+25903,ASCENSION SETON EDGAR B DAVIS,130 HAYS STREET,LULING,TX,78648,CALDWELL,(830) 875-7000,Critical Access Hospitals,Voluntary non-profit - Private
+20336,MOSES TAYLOR HOSPITAL,700 QUINCY AVENUE,SCRANTON,PA,18510,LACKAWANNA,(570) 340-2100,Acute Care Hospitals,Proprietary
+76457,NEWTON-WELLESLEY HOSPITAL,2014 WASHINGTON STREET,NEWTON,MA,2462,MIDDLESEX,(617) 243-6000,Acute Care Hospitals,Voluntary non-profit - Other
+91463,DAVIS HOSPITAL AND MEDICAL CENTER,1600 WEST ANTELOPE DRIVE,LAYTON,UT,84041,DAVIS,(801) 807-7001,Acute Care Hospitals,Proprietary
+38121,UPMC SOMERSET,225 SOUTH CENTER AVENUE,SOMERSET,PA,15501,SOMERSET,(814) 443-5000,Acute Care Hospitals,Voluntary non-profit - Private
+40121,HUDSON COUNTY MEADOWVIEW PSYCHIATRIC H,595 COUNTY AVENUE,SECAUCUS,NJ,7094,HUDSON,(201) 369-5252,Psychiatric,Government - Local
+71500,LINCOLN COMMUNITY HOSPITAL,111 6TH ST,HUGO,CO,80821,LINCOLN,(719) 743-2421,Critical Access Hospitals,Voluntary non-profit - Other
+34250,HABERSHAM COUNTY MEDICAL CTR,541 HISTORIC HIGHWAY 441-NORTH,DEMOREST,GA,30535,HABERSHAM,(706) 754-2161,Acute Care Hospitals,Government - Hospital District or Authority
+10206,SSM HEALTH ST JOSEPH HOSPITAL-ST CHARLES,300 1ST CAPITOL DR,SAINT CHARLES,MO,63301,ST. CHARLES,(636) 947-5000,Acute Care Hospitals,Voluntary non-profit - Private
+89607,RUSH MEMORIAL HOSPITAL,1300 N MAIN ST,RUSHVILLE,IN,46173,RUSH,(765) 932-7513,Critical Access Hospitals,Government - Local
+79201,MERCY HOSPITAL ST LOUIS,615 NEW BALLAS ROAD,SAINT LOUIS,MO,63141,ST. LOUIS,(314) 569-6000,Acute Care Hospitals,Voluntary non-profit - Private
+65301,GLENWOOD REGIONAL MEDICAL CENTER,503 MCMILLAN ROAD,WEST MONROE,LA,71291,OUACHITA,(318) 329-4600,Acute Care Hospitals,Proprietary
+73984,HERITAGE VALLEY BEAVER,1000 DUTCH RIDGE ROAD,BEAVER,PA,15009,BEAVER,(412) 728-7000,Acute Care Hospitals,Voluntary non-profit - Private
+73526,THEDACARE MEDICAL CENTER - WILD ROSE INC,601 GROVE AVE,WILD ROSE,WI,54984,WAUSHARA,(920) 622-3257,Critical Access Hospitals,Voluntary non-profit - Private
+42373,ASTRIA REGIONAL MEDICAL CENTER,110 SOUTH NINTH AVE,YAKIMA,WA,98902,YAKIMA,(509) 575-5102,Acute Care Hospitals,Proprietary
+50177,ST VINCENT'S EAST,50 MEDICAL PARK EAST DRIVE,BIRMINGHAM,AL,35235,JEFFERSON,(205) 838-3122,Acute Care Hospitals,Voluntary non-profit - Private
+89644,SUSAN B ALLEN MEMORIAL HOSPITAL,720 W CENTRAL ST,EL DORADO,KS,67042,BUTLER,(316) 321-3300,Acute Care Hospitals,Voluntary non-profit - Private
+73262,GILA REGIONAL MEDICAL CENTER,1313 E 32ND ST,SILVER CITY,NM,88061,GRANT,(575) 538-4100,Acute Care Hospitals,Government - Hospital District or Authority
+49485,MEMORIAL HOSPITAL,224 E SECOND STREET,DUMAS,TX,79029,MOORE,(806) 935-7171,Critical Access Hospitals,Government - Hospital District or Authority
+80993,HOUSTON METHODIST WILLOWBROOK HOSPITAL,18220 TOMBALL PARKWAY,HOUSTON,TX,77070,HARRIS,(281) 477-1000,Acute Care Hospitals,Voluntary non-profit - Private
+91508,MORTON PLANT NORTH BAY HOSPITAL,6600 MADISON ST,NEW PORT RICHEY,FL,34652,PASCO,(727) 842-8468,Acute Care Hospitals,Voluntary non-profit - Private
+57635,"MEMORIAL HOSPITAL, THE",3073 WHITE MOUNTAIN HIGHWAY,NORTH CONWAY,NH,3860,CARROLL,(603) 356-5461,Critical Access Hospitals,Voluntary non-profit - Private
+43506,NORTH HAWAII COMMUNITY HOSPITAL,67 1125 MAMALAHOA HIGHWAY,KAMUELA,HI,96743,HAWAII,(808) 885-4444,Acute Care Hospitals,Voluntary non-profit - Private
+75977,LOMA LINDA UNIVERSITY MEDICAL CENTER,11234 ANDERSON ST,LOMA LINDA,CA,92354,SAN BERNARDINO,(909) 558-4000,Acute Care Hospitals,Voluntary non-profit - Private
+31448,MT EDGECUMBE HOSPITAL,222 TONGASS DR,SITKA,AK,99835,SITKA BOROUGH,(907) 966-2411,Critical Access Hospitals,Voluntary non-profit - Private
+22758,OCEANS BEHAVIORAL HOSPITAL OF LAKE CHARLES,4250 FIFTH AVENUE,LAKE CHARLES,LA,70607,CALCASIEU,(337) 474-7581,Psychiatric,Proprietary
+64152,THEDACARE MEDICAL CENTER - BERLIN INC,225 MEMORIAL DRIVE,BERLIN,WI,54923,GREEN LAKE,(920) 361-1313,Critical Access Hospitals,Voluntary non-profit - Private
+56162,SOUTHCOAST BEHAVIORAL HEALTH,581 FAUNCE CORNER ROAD,DARTMOUTH,MA,2747,BRISTOL,(615) 861-6000,Psychiatric,Proprietary
+17561,BAPTIST HEALTH MEDICAL CENTER-HOT SPRINGS COUNTY,1001 SCHNEIDER DRIVE,MALVERN,AR,72104,HOT SPRING,(501) 332-1000,Acute Care Hospitals,Voluntary non-profit - Private
+57612,PORTER-STARKE SERVICES INC,701 WALL ST,VALPARAISO,IN,46383,PORTER,(219) 531-3500,Psychiatric,Voluntary non-profit - Private
+85640,SOUTHEASTERN REGIONAL MEDICAL CENTER,600 CELEBRATE LIFE PARKWAY,NEWNAN,GA,30265,COWETA,(404) 844-8334,Acute Care Hospitals,Proprietary
+57630,KAISER FOUNDATION HOSPITAL FONTANA,9961 SIERRA AVE,FONTANA,CA,92335,SAN BERNARDINO,(909) 427-5500,Acute Care Hospitals,Voluntary non-profit - Private
+37175,KATHERINE SHAW BETHEA HOSPITAL,403 E 1ST ST,DIXON,IL,61021,LEE,(815) 288-5531,Acute Care Hospitals,Voluntary non-profit - Private
+93725,BAYFRONT HEALTH BROOKSVILLE,17240 CORTEZ BLVD,BROOKSVILLE,FL,34601,HERNANDO,(352) 796-5111,Acute Care Hospitals,Voluntary non-profit - Church
+90100,TENNOVA HEALTHCARE-NORTH KNOXVILLE MEDICAL CENTER,7565 DANNAHER WAY POWELL,POWELL,TN,37849,KNOX,(865) 545-8000,Acute Care Hospitals,Proprietary
+52468,CODY REGIONAL HEALTH,707 SHERIDAN AVENUE,CODY,WY,82414,PARK,(307) 578-2488,Critical Access Hospitals,Government - Hospital District or Authority
+86420,ST MARY MEDICAL CENTER,18300 HIGHWAY 18,APPLE VALLEY,CA,92307,SAN BERNARDINO,(760) 242-2311,Acute Care Hospitals,Voluntary non-profit - Private
+48267,ALVARADO PARKWAY INSTITUTE BEHAVIORAL HEALTH SYSTE,7050 PARKWAY DRIVE,LA MESA,CA,91942,SAN DIEGO,(619) 465-4411,Psychiatric,Voluntary non-profit - Private
+55609,TOWNER COUNTY MEDICAL CENTER,HWY 281 N,CANDO,ND,58324,TOWNER,(701) 968-4411,Critical Access Hospitals,Voluntary non-profit - Private
+69229,KAISER FOUNDATION HOSPITAL - REDWOOD CITY,1100 VETERANS BOULEVARD,REDWOOD CITY,CA,94063,SAN MATEO,(650) 299-2000,Acute Care Hospitals,Voluntary non-profit - Private
+84712,"CAROLINA CTR FOR BEHAVIORAL HEALTH,THE",2700 E PHILLIPS RD,GREER,SC,29650,GREENVILLE,(864) 235-2335,Psychiatric,Proprietary
+28195,SCHOOLCRAFT MEMORIAL HOSPITAL,7870W US HIGHWAY 2,MANISTIQUE,MI,49854,SCHOOLCRAFT,(906) 341-3200,Critical Access Hospitals,Government - Local
+58953,TECHE REGIONAL MEDICAL CENTER,1125 MARGUERITE STREET,MORGAN CITY,LA,70380,ST. MARY,(985) 384-2200,Acute Care Hospitals,Proprietary
+36110,HAMILTON COUNTY HOSPITAL,700 NORTH HUSER,SYRACUSE,KS,67878,HAMILTON,(620) 384-7461,Critical Access Hospitals,Government - Local
+87361,ASCENSION SETON NORTHWEST,11113 RESEARCH BOULEVARD,AUSTIN,TX,78759,TRAVIS,(512) 324-6000,Acute Care Hospitals,Voluntary non-profit - Private
+37244,SHODAIR CHILDREN'S HOSPITAL,2755 COLONIAL DR,HELENA,MT,59601,LEWIS AND CLARK,(406) 444-7500,Psychiatric,Voluntary non-profit - Private
+62409,PHYSICIANS' MEDICAL CENTER LLC,4023 REAS LN,NEW ALBANY,IN,47150,FLOYD,(812) 206-7660,Acute Care Hospitals,Physician
+65936,ROGERS MEMORIAL HOSPITAL,34700 VALLEY RD,OCONOMOWOC,WI,53066,WAUKESHA,(262) 646-4411,Psychiatric,Voluntary non-profit - Private
+74827,ORCHARD HOSPITAL,240 SPRUCE STREET,GRIDLEY,CA,95948,BUTTE,(530) 846-5671,Critical Access Hospitals,Voluntary non-profit - Private
+22772,HORN MEMORIAL HOSPITAL,701 E 2ND ST,IDA GROVE,IA,51445,IDA,(712) 364-3311,Critical Access Hospitals,Voluntary non-profit - Private
+89634,BAYLOR MEDICAL CENTER AT TROPHY CLUB,2850  E STATE HIGHWAY 114,TROPHY CLUB,TX,76262,DENTON,(817) 837-4600,Acute Care Hospitals,Proprietary
+73218,ST JOSEPH MEDICAL CENTER,1401 ST. JOSEPH PARKWAY,HOUSTON,TX,77002,HARRIS,(713) 757-1000,Acute Care Hospitals,Proprietary
+21199,YAKIMA VALLEY MEMORIAL HOSPITAL,2811 TIETON DRIVE,YAKIMA,WA,98902,YAKIMA,(509) 575-8000,Acute Care Hospitals,Voluntary non-profit - Private
+89468,CROSSRIDGE COMMUNITY HOSPITAL,310 SOUTH FALLS BOULEVARD,WYNNE,AR,72396,CROSS,(870) 238-3300,Critical Access Hospitals,Voluntary non-profit - Private
+34268,JOYCE EISENBERG KEEFER MEDICAL CENTER,7150 TAMPA AVENUE,RESEDA,CA,91335,LOS ANGELES,(818) 774-3314,Psychiatric,Voluntary non-profit - Private
+62850,MIDWESTERN REGION MED CENTER,2520 ELISHA AVENUE,ZION,IL,60099,LAKE,(847) 872-4561,Acute Care Hospitals,Proprietary
+22555,"ST. LUKE'S BEHAVIORAL HOSPITAL, LP",1800 EAST VAN BUREN,PHOENIX,AZ,85006,MARICOPA,(602) 251-8535,Psychiatric,Proprietary
+59982,"MARTIN LUTHER KING, JR. COMMUNITY HOSPITAL",1680 EAST 120TH STREET,LOS ANGELES,CA,90059,LOS ANGELES,(424) 835-6808,Acute Care Hospitals,Voluntary non-profit - Private
+76058,HARRIS CTY PSYCHIATRIC CTR,2800 MACGREGOR WAY,HOUSTON,TX,77021,HARRIS,(713) 741-5000,Psychiatric,Government - State
+86756,ST FRANCIS HOSPITAL,1215 FRANCISCAN DR,LITCHFIELD,IL,62056,MONTGOMERY,(217) 324-2191,Critical Access Hospitals,Voluntary non-profit - Church
+81218,BAPTIST BEAUMONT HOSPITAL,3080 COLLEGE STREET,BEAUMONT,TX,77701,JEFFERSON,(409) 212-5012,Acute Care Hospitals,Voluntary non-profit - Private
+44643,NORTHWEST HILLS SURGICAL HOSPITAL,6818 AUSTIN CTR BLVD SUITE 100,AUSTIN,TX,78731,TRAVIS,(512) 346-1994,Acute Care Hospitals,Proprietary
+16993,ADVENTHEALTH ZEPHYRHILLS,7050 GALL BLVD,ZEPHYRHILLS,FL,33541,PASCO,(813) 788-0411,Acute Care Hospitals,Voluntary non-profit - Church
+15648,THE MOSES H CONE MEMORIAL HOSPITAL,1200 N ELM ST,GREENSBORO,NC,27401,GUILFORD,(336) 832-7000,Acute Care Hospitals,Voluntary non-profit - Private
+70311,WISE REGIONAL HEALTH SYSTEM,609 MEDICAL CENTER DRIVE,DECATUR,TX,76234,WISE,(940) 627-5921,Acute Care Hospitals,Government - Hospital District or Authority
+52509,BROOKS COUNTY HOSPITAL,903 N COURT STREET,QUITMAN,GA,31643,BROOKS,(912) 263-4171,Critical Access Hospitals,Government - Hospital District or Authority
+34237,IU HEALTH BLOOMINGTON HOSPITAL,601 W SECOND ST,BLOOMINGTON,IN,47403,MONROE,(812) 353-9555,Acute Care Hospitals,Voluntary non-profit - Private
+46230,CUERO REGIONAL HOSPITAL,2550 N ESPLANADE,CUERO,TX,77954,DE WITT,(361) 275-6191,Acute Care Hospitals,Government - Hospital District or Authority
+26408,ST CHARLES REDMOND,1253 NW CANAL BLVD,REDMOND,OR,97756,DESCHUTES,(541) 548-8131,Acute Care Hospitals,Voluntary non-profit - Private
+47936,BLUFFTON REGIONAL MEDICAL CENTER,303 S MAIN ST,BLUFFTON,IN,46714,WELLS,(260) 824-3210,Acute Care Hospitals,Proprietary
+85125,DALE MEDICAL CENTER,126 HOSPITAL AVE,OZARK,AL,36360,DALE,(334) 774-2601,Acute Care Hospitals,Government - Hospital District or Authority
+88113,UNIVERSITY OF MD ST JOSEPH MEDICAL CENTER,7601 OSLER DRIVE,TOWSON,MD,21204,BALTIMORE,(410) 337-1000,Acute Care Hospitals,Voluntary non-profit - Private
+53282,PELLA REGIONAL HEALTH CENTER,404 JEFFERSON STREET,PELLA,IA,50219,MARION,(641) 628-3150,Critical Access Hospitals,Voluntary non-profit - Private
+73330,HUGGINS HOSPITAL,240 SOUTH MAIN STREET,WOLFEBORO,NH,3894,CARROLL,(603) 569-7500,Critical Access Hospitals,Voluntary non-profit - Private
+42389,MEDICAL CITY DALLAS,7777 FOREST LANE,DALLAS,TX,75230,DALLAS,(972) 566-6222,Acute Care Hospitals,Proprietary
+59315,"PIEDMONT WALTON HOSPITAL, INC",2151 W SPRING STREET,MONROE,GA,30655,WALTON,(770) 267-8461,Acute Care Hospitals,Proprietary
+89963,ANDERSON COUNTY HOSPITAL,421 S MAPLE,GARNETT,KS,66032,ANDERSON,(785) 204-4000,Critical Access Hospitals,Voluntary non-profit - Private
+67440,AURORA MEDICAL CTR MANITOWOC COUNTY,5000 MEMORIAL DRIVE,TWO RIVERS,WI,54241,MANITOWOC,(920) 794-5000,Acute Care Hospitals,Voluntary non-profit - Private
+29786,TAYLORVILLE MEMORIAL HOSPITAL,201 EAST PLEASANT STREET,TAYLORVILLE,IL,62568,CHRISTIAN,(217) 824-3331,Critical Access Hospitals,Voluntary non-profit - Private
+38513,GUTHRIE CORTLAND REGIONAL MEDICAL CENTER,134 HOMER AVENUE,CORTLAND,NY,13045,CORTLAND,(607) 756-3501,Acute Care Hospitals,Voluntary non-profit - Private
+11458,KNOX COMMUNITY HOSPITAL,1330 COSHOCTON ROAD,MOUNT VERNON,OH,43050,KNOX,(740) 393-9000,Acute Care Hospitals,Voluntary non-profit - Other
+51433,AVERA HEART HOSPITAL OF SOUTH DAKOTA,4500 W 69TH ST,SIOUX FALLS,SD,57108,LINCOLN,(605) 977-7000,Acute Care Hospitals,Proprietary
+87082,STORY COUNTY HOSPITAL,640 SOUTH 19TH STREET,NEVADA,IA,50201,STORY,(515) 382-2111,Critical Access Hospitals,Government - Local
+81542,LAKE CHELAN COMMUNITY HOSPITAL,503 EAST HIGHLAND,CHELAN,WA,98816,CHELAN,(509) 682-3300,Critical Access Hospitals,Government - Hospital District or Authority
+58936,FAIRFAX COMMUNITY HOSPITAL,40 HOSPITAL ROAD,FAIRFAX,OK,74637,OSAGE,(918) 642-3291,Critical Access Hospitals,Voluntary non-profit - Other
+46132,TRINITY REGIONAL MEDICAL CENTER,802 KENYON RD,FORT DODGE,IA,50501,WEBSTER,(515) 573-3101,Acute Care Hospitals,Voluntary non-profit - Private
+54053,LIMESTONE MEDICAL CENTER,701 MCCLINTIC DRIVE,GROESBECK,TX,76642,LIMESTONE,(254) 729-3281,Critical Access Hospitals,Government - Hospital District or Authority
+24013,VALLEY BAPTIST MEDICAL CENTER- BROWNSVILLE,1040 W JEFFERSON ST,BROWNSVILLE,TX,78520,CAMERON,(956) 544-1400,Acute Care Hospitals,Proprietary
+51508,ENCINO HOSPITAL MEDICAL CENTER,16237 VENTURA BLVD,ENCINO,CA,91436,LOS ANGELES,(818) 995-5000,Acute Care Hospitals,Proprietary
+12578,O'CONNOR HOSPITAL,2105 FOREST AVENUE,SAN JOSE,CA,95128,SANTA CLARA,(408) 947-2500,Acute Care Hospitals,Voluntary non-profit - Private
+11570,PICKENS COUNTY MEDICAL CENTER,241 ROBERT K WILSON DRIVE,CARROLLTON,AL,35447,PICKENS,(205) 367-8111,Acute Care Hospitals,Government - Local
+24127,HOSPITAL ONCOLOGICO DR ISAAC GONZALEZ MARTINEZ,BO. MONACILLOS CARR 22 CENTRO MEDICO DE PUERTO RIC,SAN JUAN,PR,935,SAN JUAN,(787) 763-4149,Acute Care Hospitals,Voluntary non-profit - Private
+82246,COMPASS MEMORIAL HEALTHCARE,300 W MAY ST,MARENGO,IA,52301,IOWA,(319) 642-5543,Critical Access Hospitals,Voluntary non-profit - Other
+35082,GALLUP INDIAN MEDICAL CENTER,516 E NIZHONI BLVD,GALLUP,NM,87301,MCKINLEY,(505) 722-1000,Acute Care Hospitals,Government - Federal
+94256,VIDANT BERTIE  HOSPITAL,1403 SOUTH KINGS STREET,WINDSOR,NC,27983,BERTIE,(252) 794-6600,Critical Access Hospitals,Voluntary non-profit - Private
+68025,CAPITAL HEALTH MEDICAL CENTER - HOPEWELL,ONE CAPITAL WAY,PENNINGTON,NJ,8534,MERCER,(609) 303-4000,Acute Care Hospitals,Voluntary non-profit - Private
+60264,WAGONER COMMUNITY HOSPITAL,1200 WEST CHEROKEE STREET,WAGONER,OK,74467,WAGONER,(918) 485-5514,Acute Care Hospitals,Government - Hospital District or Authority
+72755,BAPTIST MEDICAL CENTER,111 DALLAS STREET,SAN ANTONIO,TX,78205,BEXAR,(210) 297-8256,Acute Care Hospitals,Proprietary
+67731,RED RIVER HOSPITAL,1505 8TH ST,WICHITA FALLS,TX,76301,WICHITA,(940) 322-3171,Psychiatric,Proprietary
+24853,PIEDMONT FAYETTE HOSPITAL,1255 HIGHWAY 54 WEST,FAYETTEVILLE,GA,30214,FAYETTE,(770) 719-7000,Acute Care Hospitals,Voluntary non-profit - Private
+54558,SOUTH SUNFLOWER COUNTY HOSPITAL,121 E BAKER ST,INDIANOLA,MS,38751,SUNFLOWER,(662) 887-5235,Acute Care Hospitals,Government - Local
+23632,CAPITAL REGION MEDICAL CENTER,1125 MADISON ST,JEFFERSON CITY,MO,65102,COLE,(573) 632-5000,Acute Care Hospitals,Voluntary non-profit - Private
+55512,OVERLAND PARK REG MED CTR,10500 QUIVIRA ROAD,OVERLAND PARK,KS,66215,JOHNSON,(913) 541-5000,Acute Care Hospitals,Proprietary
+41180,METHODIST CHARLTON MEDICAL CENTER,3500 W WHEATLAND ROAD,DALLAS,TX,75237,DALLAS,(214) 947-7777,Acute Care Hospitals,Voluntary non-profit - Private
+56543,SWEDISH COVENANT HOSPITAL,5145 N CALIFORNIA AVE,CHICAGO,IL,60625,COOK,(773) 878-8200,Acute Care Hospitals,Voluntary non-profit - Church
+83366,KAISER FOUNDATION HOSPITAL-SAN JOSE,250 HOSPITAL PARKWAY,SAN JOSE,CA,95119,SANTA CLARA,(408) 972-7000,Acute Care Hospitals,Voluntary non-profit - Private
+31891,CATHOLIC MEDICAL CENTER,100 MCGREGOR STREET,MANCHESTER,NH,3102,HILLSBOROUGH,(603) 668-3545,Acute Care Hospitals,Voluntary non-profit - Private
+74882,LAFAYETTE GENERAL SURGICAL HOSPITAL,1000 W PINHOOK RD SUITE 100,LAFAYETTE,LA,70503,LAFAYETTE,(337) 289-8095,Acute Care Hospitals,Physician
+62814,HIGHLAND RIDGE HOSPITAL,7309 SOUTH 180 WEST,MIDVALE,UT,84047,SALT LAKE,(801) 845-9544,Psychiatric,Proprietary
+42682,BRONX PSYCHIATRIC CENTER,1500 WATERS PLACE,BRONX,NY,10461,BRONX,(718) 931-0600,Psychiatric,Government - State
+92117,REFUGIO COUNTY MEMORIAL HOSPITAL,107 SWIFT STREET,REFUGIO,TX,78377,REFUGIO,(361) 526-2321,Critical Access Hospitals,Government - Hospital District or Authority
+37438,WATAUGA MEDICAL CENTER,336 DEERFIELD ROAD,BOONE,NC,28607,WATAUGA,(828) 263-1211,Acute Care Hospitals,Government - Local
+61530,SELBY GENERAL HOSPITAL,1106 COLEGATE DRIVE,MARIETTA,OH,45750,WASHINGTON,(740) 568-2000,Critical Access Hospitals,Voluntary non-profit - Private
+68747,HOSPITAL DE LA CONCEPCION,ROAD NUMBER 2 KM 173.4 CAIN ALTO,SAN GERMAN,PR,683,SAN GERMAN,(787) 892-1860,Acute Care Hospitals,Voluntary non-profit - Church
+71733,UPMC NORTHWEST,100 FAIRFIELD DRIVE,SENECA,PA,16346,VENANGO,(814) 676-7600,Acute Care Hospitals,Voluntary non-profit - Other
+46034,REGIONAL HOSPITAL OF SCRANTON,746 JEFFERSON AVENUE,SCRANTON,PA,18501,LACKAWANNA,(570) 348-7100,Acute Care Hospitals,Proprietary
+78449,SAN RAMON REGIONAL MEDICAL CENTER,6001 NORRIS CANYON ROAD,SAN RAMON,CA,94583,CONTRA COSTA,(925) 275-9200,Acute Care Hospitals,Proprietary
+41675,HOLZER MEDICAL CENTER JACKSON,500 BURLINGTON ROAD,JACKSON,OH,45640,JACKSON,(740) 395-8500,Critical Access Hospitals,Voluntary non-profit - Private
+88420,NOVANT HEALTH UVA  PRINCE WILLIAM MEDICAL CENTER,8700 SUDLEY RD,MANASSAS,VA,20110,MANASSAS CITY,(703) 369-8000,Acute Care Hospitals,Voluntary non-profit - Private
+82904,NORTH CAROLINA SPECIALTY HOSPITAL,3916 BEN FRANKLIN BOULEVARD,DURHAM,NC,27704,DURHAM,(919) 956-9300,Acute Care Hospitals,Proprietary
+22860,SUMMIT HEALTHCARE REGIONAL MEDICAL CENTER,2200 EAST SHOW LOW LAKE ROAD,SHOW LOW,AZ,85901,NAVAJO,(928) 537-6399,Acute Care Hospitals,Voluntary non-profit - Private
+82015,JOHN RANDOLPH MEDICAL CENTER,411 WEST RANDOLPH ROAD,HOPEWELL,VA,23860,HOPEWELL CITY,(804) 541-1600,Acute Care Hospitals,Proprietary
+22045,ELLETT MEMORIAL HOSPITAL,610 N OHIO AVE,APPLETON CITY,MO,64724,ST. CLAIR,(660) 476-2111,Critical Access Hospitals,Government - Hospital District or Authority
+12537,CHADRON COMMUNITY HOSPITAL CORP,825 CENTENNIAL DRIVE,CHADRON,NE,69337,DAWES,(308) 432-5586,Critical Access Hospitals,Voluntary non-profit - Private
+50789,COORDINATED HEALTH ORTHOPEDIC HOSPITAL,2310 HIGHLAND AVENUE,BETHLEHEM,PA,18017,NORTHAMPTON,(610) 691-4300,Acute Care Hospitals,Physician
+59669,RIVERVIEW MEDICAL CENTER,ONE RIVERVIEW PLAZA,RED BANK,NJ,7701,MONMOUTH,(732) 741-2700,Acute Care Hospitals,Voluntary non-profit - Private
+86129,USMD HOSPITAL  AT FORT WORTH LP,5900 ALTAMESA BLVD,FORT WORTH,TX,76132,TARRANT,(817) 433-9100,Acute Care Hospitals,Proprietary
+50778,OLATHE MEDICAL CENTER,20333 WEST 151ST STREET,OLATHE,KS,66061,JOHNSON,(913) 791-4200,Acute Care Hospitals,Voluntary non-profit - Private
+27286,METROPOLITAN HOSPITAL,CARRETERA 21 1785 URB LAS LOMAS,SAN JUAN,PR,915,SAN JUAN,(787) 782-9999,Acute Care Hospitals,Proprietary
+89248,SAINT JOSEPH LONDON,1001 SAINT JOSEPH LANE,LONDON,KY,40741,LAUREL,(606) 330-6000,Acute Care Hospitals,Voluntary non-profit - Private
+56214,SIERRA VISTA REGIONAL MEDICAL CENTER,1010 MURRAY ST,SAN LUIS OBISPO,CA,93405,SAN LUIS OBISPO,(850) 546-7600,Acute Care Hospitals,Proprietary
+82404,AVERA SACRED HEART HOSPITAL,501 SUMMIT ST,YANKTON,SD,57078,YANKTON,(605) 668-8000,Acute Care Hospitals,Voluntary non-profit - Private
+90914,WILBARGER GENERAL HOSPITAL,920 HILLCREST DR,VERNON,TX,76384,WILBARGER,(940) 552-9351,Acute Care Hospitals,Government - Hospital District or Authority
+34451,EDWARD MCCREADY MEMORIAL HOSPITAL,201 HALL HIGHWAY,CRISFIELD,MD,21817,SOMERSET,(410) 726-9496,Acute Care Hospitals,Voluntary non-profit - Private
+53671,F F THOMPSON HOSPITAL,350 PARRISH STREET,CANANDAIGUA,NY,14424,ONTARIO,(585) 396-6000,Acute Care Hospitals,Voluntary non-profit - Private
+11337,OPTIM MEDICAL CENTER - TATTNALL,247 S MAIN STREET,REIDSVILLE,GA,30453,TATTNALL,(912) 557-1000,Critical Access Hospitals,Proprietary
+21488,AVOYELLES HOSPITAL,4231 HIGHWAY 1192,MARKSVILLE,LA,71351,AVOYELLES,(318) 253-8611,Acute Care Hospitals,Proprietary
+13951,ST VINCENT'S MEDICAL CENTER,2800 MAIN ST,BRIDGEPORT,CT,6606,FAIRFIELD,(203) 576-5551,Acute Care Hospitals,Voluntary non-profit - Church
+12538,BRONSON BATTLE CREEK HOSPITAL,300 NORTH AVENUE,BATTLE CREEK,MI,49017,CALHOUN,(269) 966-8000,Acute Care Hospitals,Proprietary
+55775,MURPHY MEDICAL CENTER INC,3990 EAST US HIGHWAY 64 ALT,MURPHY,NC,28906,CHEROKEE,(828) 837-8161,Critical Access Hospitals,Voluntary non-profit - Private
+10477,VALLEY VIEW HOSPITAL ASSOCIATION,1906 BLAKE AVE,GLENWOOD SPRINGS,CO,81601,GARFIELD,(970) 945-6535,Acute Care Hospitals,Voluntary non-profit - Private
+43624,PARK NICOLLET METHODIST HOSPITAL,6500 EXCELSIOR BLVD,SAINT LOUIS PARK,MN,55426,HENNEPIN,(952) 993-5000,Acute Care Hospitals,Voluntary non-profit - Private
+12911,WESTERN NY CHILDRENS PSYCHIATRIC CENTER,1010 EAST & WEST ROAD,WEST SENECA,NY,14224,ERIE,(716) 677-7000,Psychiatric,Government - State
+52960,PERKINS COUNTY HEALTH SERVICES,900 LINCOLN AVE,GRANT,NE,69140,PERKINS,(308) 352-7200,Critical Access Hospitals,Government - Hospital District or Authority
+87551,SHERMAN HOSPITAL,1425 NORTH RANDALL ROAD,ELGIN,IL,60123,KANE,(847) 742-9800,Acute Care Hospitals,Voluntary non-profit - Private
+70463,MAYO REGIONAL HOSPITAL,897 WEST MAIN STREET,DOVER FOXCROFT,ME,4426,PISCATAQUIS,(207) 564-4251,Critical Access Hospitals,Government - Hospital District or Authority
+21085,RESOLUTE HEALTH HOSPITAL,"555 CREEKSIDE XING,",NEW BRAUNFELS,TX,78130,COMAL,(469) 839-6778,Acute Care Hospitals,Proprietary
+58201,HOT SPRINGS COUNTY MEMORIAL HOSPITAL,150 EAST ARAPAHOE,THERMOPOLIS,WY,82443,HOT SPRINGS,(307) 864-3121,Critical Access Hospitals,Government - Local
+16763,YOAKUM COUNTY HOSPITAL,412 MUSTANG AVENUE,DENVER CITY,TX,79323,YOAKUM,(806) 592-2121,Critical Access Hospitals,Government - Local
+26703,NORTHFIELD HOSPITAL,2000 NORTH AVENUE,NORTHFIELD,MN,55057,RICE,(507) 646-1001,Acute Care Hospitals,Government - Local
+23690,ST MARYS HOSPITAL MEDICAL CTR,1726 SHAWANO AVE,GREEN BAY,WI,54303,BROWN,(920) 498-4200,Acute Care Hospitals,Voluntary non-profit - Other
+67183,ST CLAIRE REGIONAL MEDICAL CENTER,222 MEDICAL CIRCLE,MOREHEAD,KY,40351,ROWAN,(606) 783-6502,Acute Care Hospitals,Government - Federal
+56616,SOUTHEASTHEALTH,1701 LACEY ST,CAPE GIRARDEAU,MO,63701,CAPE GIRARDEAU,(573) 334-4822,Acute Care Hospitals,Voluntary non-profit - Private
+14186,COALINGA REGIONAL MEDICAL CENTER,1191 PHELPS AVENUE,COALINGA,CA,93210,FRESNO,(559) 935-6400,Acute Care Hospitals,Government - Hospital District or Authority
+36665,MOUNT CARMEL NEW ALBANY SURGICAL HOSPITAL,7333 SMITH'S MILL ROAD,NEW ALBANY,OH,43054,FRANKLIN,(614) 775-6600,Acute Care Hospitals,Proprietary
+82887,BOUNDARY COMMUNITY HOSPITAL,6640 KANIKSU STREET,BONNERS FERRY,ID,83805,BOUNDARY,(208) 267-4850,Critical Access Hospitals,Voluntary non-profit - Other
+25546,TRISTAR SKYLINE MEDICAL CENTER,3441 DICKERSON PIKE,NASHVILLE,TN,37207,DAVIDSON,(615) 769-2000,Acute Care Hospitals,Voluntary non-profit - Private
+10222,ROGER MILLS MEMORIAL HOSPITAL,501 SOUTH L L MALES AVENUE,CHEYENNE,OK,73628,ROGER MILLS,(580) 497-3336,Critical Access Hospitals,Government - Hospital District or Authority
+68583,"ROY LESTER SCHNEIDER HOSPITAL,THE",9048 SUGAR ESTATE,ST THOMAS,VI,801,SAINT THOMAS ISLAND,(809) 776-8311,Acute Care Hospitals,Government - Local
+21234,KNAPP MEDICAL CENTER,1401 EAST EIGHT STREET,WESLACO,TX,78596,HIDALGO,(956) 968-8567,Acute Care Hospitals,Voluntary non-profit - Private
+25216,"CHRISTIANA CARE HEALTH SERVICES, INC.",4755 OGLETOWN-STANTON ROAD,NEWARK,DE,19718,NEW CASTLE,(302) 733-1000,Acute Care Hospitals,Voluntary non-profit - Private
+20311,RICHLAND MEMORIAL HOSPITAL,800 EAST LOCUST,OLNEY,IL,62450,RICHLAND,(618) 395-2131,Acute Care Hospitals,Voluntary non-profit - Private
+93466,GENERATIONS BEHAVIORAL HEALTH - GENEVA,60 WEST STREET,GENEVA,OH,44041,ASHTABULA,(440) 415-0794,Psychiatric,Proprietary
+35190,UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT TYLER,11937 US HIGHWAY 271,TYLER,TX,75708,SMITH,(903) 877-7777,Acute Care Hospitals,Government - State
+71048,BAYSIDE COMMUNITY HOSPITAL,200 HOSPITAL DRIVE,ANAHUAC,TX,77514,CHAMBERS,(409) 267-3143,Critical Access Hospitals,Government - Hospital District or Authority
+32562,HEALTHEAST WOODWINDS HOSPITAL,1925 WOODWINDS DRIVE,WOODBURY,MN,55125,WASHINGTON,(651) 232-0228,Acute Care Hospitals,Voluntary non-profit - Private
+75085,OAKLEAF SURGICAL HOSPITAL,1000 OAKLEAF WAY,ALTOONA,WI,54720,EAU CLAIRE,(715) 831-8130,Acute Care Hospitals,Physician
+21637,PATIENTS CHOICE MEDICAL CENTER,347 MAGNOLIA DRIVE,RALEIGH,MS,39153,SMITH,(601) 782-9997,Acute Care Hospitals,Proprietary
+41718,ANNE ARUNDEL MEDICAL CENTER,2001 MEDICAL PARKWAY,ANNAPOLIS,MD,21401,ANNE ARUNDEL,(443) 481-1307,Acute Care Hospitals,Voluntary non-profit - Private
+29430,"PARKVIEW MEDICAL CENTER, INC",400 W 16TH ST,PUEBLO,CO,81003,PUEBLO,(719) 584-4000,Acute Care Hospitals,Voluntary non-profit - Private
+22781,SHRINERS HOSPITALS FOR CHILDREN - PHILADELPHIA,3551 N BROAD STREET,PHILADELPHIA,PA,19104,PHILADELPHIA,(215) 430-4000,Childrens,Voluntary non-profit - Other
+30704,BAPTIST HEALTH LOUISVILLE,4000 KRESGE WAY,LOUISVILLE,KY,40207,JEFFERSON,(502) 897-8100,Acute Care Hospitals,Voluntary non-profit - Private
+88108,AUBURN  COMMUNITY  HOSPITAL,17 LANSING STREET,AUBURN,NY,13021,CAYUGA,(315) 255-7011,Acute Care Hospitals,Voluntary non-profit - Private
+92634,JENNINGS AMERICAN LEGION HOSPITAL,1634 ELTON ROAD,JENNINGS,LA,70546,JEFFRSON DAVIS,(337) 616-7000,Acute Care Hospitals,Voluntary non-profit - Private
+13643,"PARKSIDE, INC",1619 EAST 13TH STREET,TULSA,OK,74120,TULSA,(918) 582-2131,Psychiatric,Voluntary non-profit - Private
+11318,FAIRVIEW SOUTHDALE HOSPITAL,6401 FRANCE AVENUE SOUTH,EDINA,MN,55435,HENNEPIN,(952) 924-5100,Acute Care Hospitals,Voluntary non-profit - Private
+24910,SALINA SURGICAL HOSPITAL,401 SOUTH SANTA FE AVENUE,SALINA,KS,67401,SALINE,(785) 827-0610,Acute Care Hospitals,Physician
+54595,PRESENCE SAINTS MARY AND ELIZABETH MEDICAL CENTER,2233 W DIVISION ST,CHICAGO,IL,60622,COOK,(312) 770-2000,Acute Care Hospitals,Voluntary non-profit - Church
+45247,CROWNPOINT HEALTHCARE FACILITY,JUNCTION OF HWY 371,CROWNPOINT,NM,87313,MCKINLEY,(505) 786-5291,Acute Care Hospitals,Government - Federal
+32273,AURORA BAYCARE MEDICAL CTR,2845 GREENBRIER RD,GREEN BAY,WI,54311,BROWN,(920) 288-8000,Acute Care Hospitals,Proprietary
+38131,HAWKINS COUNTY MEMORIAL HOSPITAL,851 LOCUST STREET,ROGERSVILLE,TN,37857,HAWKINS,(423) 921-7000,Acute Care Hospitals,Voluntary non-profit - Private
+64929,ESTES PARK MEDICAL CENTER,555 PROSPECT AVE,ESTES PARK,CO,80517,LARIMER,(970) 577-4470,Critical Access Hospitals,Government - Hospital District or Authority
+90995,TALLAHASSEE MEMORIAL HOSPITAL,1300 MICCOSUKEE RD,TALLAHASSEE,FL,32308,LEON,(850) 431-5380,Acute Care Hospitals,Voluntary non-profit - Private
+51392,SOUTHWEST HEALTHCARE SERVICES,802 2ND ST NW,BOWMAN,ND,58623,BOWMAN,(701) 523-5265,Critical Access Hospitals,Voluntary non-profit - Private
+87089,FREEMAN MEDICAL CENTER - CAH,510 E 8TH ST  POST OFFICE BOX 370,FREEMAN,SD,57029,HUTCHINSON,(605) 925-4000,Critical Access Hospitals,Voluntary non-profit - Private
+65895,GARFIELD COUNTY MEMORIAL HOSPITAL,66 NORTH SIXTH STREET,POMEROY,WA,99347,GARFIELD,(509) 843-1591,Critical Access Hospitals,Government - Hospital District or Authority
+73284,ST LUKE'S HOSPITAL,5901 MONCLOVA ROAD,MAUMEE,OH,43537,LUCAS,(419) 893-5900,Acute Care Hospitals,Voluntary non-profit - Other
+49616,IOWA SPECIALTY HOSPITAL-CLARION,1316 SOUTH MAIN STREET,CLARION,IA,50525,WRIGHT,(515) 532-2811,Critical Access Hospitals,Government - Local
+61283,MERIT HEALTH RIVER REGION,2100 HWY 61 N,VICKSBURG,MS,39183,WARREN,(601) 883-5000,Acute Care Hospitals,Proprietary
+21472,CHI HEALTH SCHUYLER,104 WEST 17TH ST,SCHUYLER,NE,68661,COLFAX,(402) 352-2441,Critical Access Hospitals,Voluntary non-profit - Private
+11367,STEWARD SEBASTIAN RIVER MEDICAL CENTER,13695 US HWY 1,SEBASTIAN,FL,32978,INDIAN RIVER,(772) 589-3187,Acute Care Hospitals,Proprietary
+77749,HUTCHINGS PSYCHIATRIC CTR,620 MADISON STREET,SYRACUSE,NY,13210,ONONDAGA,(315) 473-4980,Psychiatric,Government - State
+67661,MOUNDVIEW MEMORIAL HOSPITAL AND CLINICS,402 W LAKE ST,FRIENDSHIP,WI,53934,ADAMS,(608) 339-3331,Critical Access Hospitals,Voluntary non-profit - Private
+75172,UNIVERSITY HOSPITAL,1350 WALTON WAY,AUGUSTA,GA,30901,RICHMOND,(706) 722-9011,Acute Care Hospitals,Government - Hospital District or Authority
+86644,BIG HORN HOSPITAL,17 N MILES,HARDIN,MT,59034,BIG HORN,(406) 665-2310,Critical Access Hospitals,Government - Local
+89233,SCRIPPS MERCY HOSPITAL,4077 5TH AVE,SAN DIEGO,CA,92103,SAN DIEGO,(619) 294-8111,Acute Care Hospitals,Voluntary non-profit - Private
+12280,GUADALUPE REGIONAL MEDICAL CENTER,1215 E COURT ST,SEGUIN,TX,78155,GUADALUPE,(830) 379-2411,Acute Care Hospitals,Voluntary non-profit - Other
+66696,GRANDVIEW HOSPITAL & MEDICAL CENTER,405 GRAND AVENUE,DAYTON,OH,45405,MONTGOMERY,(937) 723-3200,Acute Care Hospitals,Voluntary non-profit - Other
+73659,CYPRESS POINTE SURGICAL HOSPITAL,42570 SOUTH AIRPORT RD,HAMMOND,LA,70403,TANGIPAHOA,(985) 510-6200,Acute Care Hospitals,Physician
+35611,CEDARS-SINAI MEDICAL CENTER,8700 BEVERLY BLVD,LOS ANGELES,CA,90048,LOS ANGELES,(310) 423-5000,Acute Care Hospitals,Voluntary non-profit - Other
+29177,NORWEGIAN-AMERICAN HOSPITAL,1044 N FRANCISCO AVE,CHICAGO,IL,60622,COOK,(773) 292-8200,Acute Care Hospitals,Voluntary non-profit - Private
+67801,CHINLE COMPREHENSIVE HEALTH CARE FACILITY,"US HWY 191, HOSPITAL ROAD",CHINLE,AZ,86503,APACHE,(928) 674-7001,Acute Care Hospitals,Government - Federal
+86744,REDINGTON FAIRVIEW GENERAL HOSPITAL,46 FAIRVIEW AVE   PO BOX 468,SKOWHEGAN,ME,4976,SOMERSET,(207) 474-5121,Critical Access Hospitals,Proprietary
+15964,KAISER PERMANENTE CENTRAL HOSPITAL,201 - 16TH AVENUE EAST,SEATTLE,WA,98112,KING,(206) 326-3000,Acute Care Hospitals,Voluntary non-profit - Other
+42599,ST VINCENT EVANSVILLE,3700 WASHINGTON AVE,EVANSVILLE,IN,47750,VANDERBURGH,(812) 485-4000,Acute Care Hospitals,Voluntary non-profit - Private
+10676,SAINT ALPHONSUS MEDICAL CENTER - NAMPA,4300 E FLAMINGO AVE,NAMPA,ID,83687,CANYON,(208) 205-0050,Acute Care Hospitals,Voluntary non-profit - Church
+13764,CAPE CANAVERAL HOSPITAL,701 W COCOA BEACH CAUSEWAY,COCOA BEACH,FL,32932,BREVARD,(321) 799-7111,Acute Care Hospitals,Voluntary non-profit - Private
+42761,HOLY SPIRIT HOSPITAL,503 NORTH 21ST STREET,CAMP HILL,PA,17011,CUMBERLAND,(717) 763-2100,Acute Care Hospitals,Voluntary non-profit - Private
+45440,ALLIANCEHEALTH CLINTON,100 NORTH 30TH STREET,CLINTON,OK,73601,CUSTER,(580) 323-2363,Acute Care Hospitals,Voluntary non-profit - Other
+60262,MARSHFIELD MEDICAL CENTER - NEILLSVILLE,216 SUNSET PLACE,NEILLSVILLE,WI,54456,CLARK,(715) 743-3101,Critical Access Hospitals,Voluntary non-profit - Church
+89188,EDWARD W SPARROW HOSPITAL,1215 E MICHIGAN AVENUE,LANSING,MI,48912,INGHAM,(517) 364-1000,Acute Care Hospitals,Voluntary non-profit - Other
+63529,TEXAS STAR RECOVERY,1106  WEST DITTMAR RD,AUSTIN,TX,78745,TRAVIS,(512) 444-4835,Psychiatric,Proprietary
+91740,METHODIST HOSPITALS INC,600 GRANT ST,GARY,IN,46402,LAKE,(219) 886-4000,Acute Care Hospitals,Voluntary non-profit - Private
+67613,PACIFIC GROVE HOSPITAL,5900 BROCKTON AVE,RIVERSIDE,CA,92506,RIVERSIDE,(951) 275-8400,Psychiatric,Proprietary
+33308,CAYUGA MEDICAL CENTER AT ITHACA,101 DATES DRIVE,ITHACA,NY,14850,TOMPKINS,(607) 274-4401,Acute Care Hospitals,Voluntary non-profit - Private
+52653,JASPER GENERAL HOSPITAL,15 SOUTH 6TH STREET,BAY SPRINGS,MS,39422,JASPER,(601) 764-2101,Acute Care Hospitals,Government - Local
+83059,RAPPAHANNOCK GENERAL HOSPITAL,101 HARRIS ROAD,KILMARNOCK,VA,22482,LANCASTER,(804) 435-8000,Critical Access Hospitals,Voluntary non-profit - Private
+86618,SIBLEY MEMORIAL HOSPITAL,5255 LOUGHBORO RD NW,WASHINGTON,DC,20016,THE DISTRICT,(202) 537-4680,Acute Care Hospitals,Voluntary non-profit - Other
+84511,UNIVERSITY OF NORTH CAROLINA HOSPITAL,101 MANNING DRIVE,CHAPEL HILL,NC,27514,ORANGE,(919) 966-4141,Acute Care Hospitals,Government - State
+39392,"MOUNTAIN VISTA MEDICAL CENTER, LP",1301 SOUTH CRISMON ROAD,MESA,AZ,85209,MARICOPA,(480) 358-6100,Acute Care Hospitals,Proprietary
+55126,"COFFEE REGIONAL MEDICAL CENTER, INC",1101 OCILLA ROAD,DOUGLAS,GA,31533,COFFEE,(912) 383-5620,Acute Care Hospitals,Government - Hospital District or Authority
+60048,SHARP CHULA VISTA MEDICAL CENTER,751 MEDICAL CENTER COURT,CHULA VISTA,CA,91911,SAN DIEGO,(619) 502-5800,Acute Care Hospitals,Proprietary
+31398,MID HUDSON FORENSIC PSYCHIATRIC CTR,BOX 158 ROUTE 17M,NEW HAMPTON,NY,10958,ORANGE,(845) 374-3171,Psychiatric,Government - State
+16892,HILO MEDICAL CENTER,1190 WAIANUENUE AVENUE,HILO,HI,96720,HAWAII,(808) 932-3000,Acute Care Hospitals,Government - State
+55943,LECOM HEALTH CORRY MEMORIAL HOSPITAL,965 SHAMROCK LANE,CORRY,PA,16407,ERIE,(814) 664-4641,Critical Access Hospitals,Government - Hospital District or Authority
+77255,"ASCENSION VIA CHRISTI HOSPITALS WICHITA, INC.",929 NORTH ST FRANCIS STREET,WICHITA,KS,67214,SEDGWICK,(316) 268-5000,Acute Care Hospitals,Voluntary non-profit - Church
+13619,GERALD CHAMPION REGIONAL MEDICAL CENTER,2669 NORTH SCENIC DRIVE,ALAMOGORDO,NM,88310,OTERO,(575) 443-6100,Acute Care Hospitals,Voluntary non-profit - Private
+29552,OSCEOLA REGIONAL MEDICAL CENTER,700 WEST OAK STREET,KISSIMMEE,FL,34741,OSCEOLA,(407) 846-2266,Acute Care Hospitals,Proprietary
+27990,BENSON HOSPITAL,450 SOUTH OCOTILLO AVENUE,BENSON,AZ,85602,COCHISE,(520) 586-2261,Critical Access Hospitals,Voluntary non-profit - Private
+18269,LDS HOSPITAL,8TH AVENUE AND C STREET,SALT LAKE CITY,UT,84143,SALT LAKE,(801) 408-1100,Acute Care Hospitals,Voluntary non-profit - Private
+94224,OSBORNE COUNTY MEMORIAL HOSPITAL,424 W NEW HAMPSHIRE STREET,OSBORNE,KS,67473,OSBORNE,(785) 346-2121,Critical Access Hospitals,Government - Local
+53540,GOOD SAMARITAN REGIONAL MEDICAL CENTER,3600 NW SAMARITAN DRIVE,CORVALLIS,OR,97330,BENTON,(541) 768-5111,Acute Care Hospitals,Voluntary non-profit - Private
+14914,HARRINGTON MEMORIAL HOSPITAL-1,100 SOUTH STREET,SOUTHBRIDGE,MA,1550,WORCESTER,(508) 765-9771,Acute Care Hospitals,Voluntary non-profit - Private
+92976,SOUTHERN TENNESSEE REGIONAL HEALTH SYSTEM LAWRENCE,HWY 43 S BOX 847,LAWRENCEBURG,TN,38464,LAWRENCE,(931) 762-6571,Acute Care Hospitals,Voluntary non-profit - Other
+28093,ST ANTHONY COMMUNITY HOSPITAL,15 MAPLE AVENUE -19,WARWICK,NY,10990,ORANGE,(845) 986-2276,Acute Care Hospitals,Voluntary non-profit - Church
+37892,CLEVELAND CLINIC AVON HOSPITAL,33300 CLEVELAND CLINIC BLVD,AVON,OH,44011,LORAIN,(216) 636-7727,Acute Care Hospitals,Voluntary non-profit - Private
+36823,NORTH OTTAWA COMMUNITY HEALTH SYSTEM,1309 SHELDON RD,GRAND HAVEN,MI,49417,OTTAWA,(616) 842-3600,Acute Care Hospitals,Government - Hospital District or Authority
+13883,MARGARET R PARDEE MEMORIAL HOSPITAL,800 N JUSTICE ST,HENDERSONVILLE,NC,28791,HENDERSON,(828) 696-1000,Acute Care Hospitals,Government - Local
+78187,DOOR COUNTY MEDICAL CENTER,323 SOUTH 18TH AVENUE,STURGEON BAY,WI,54235,DOOR,(920) 743-5566,Critical Access Hospitals,Voluntary non-profit - Church
+30345,REGIONAL GENERAL HOSPITAL WILLISTON,125 SW 7TH ST,WILLISTON,FL,32696,LEVY,(352) 528-2801,Acute Care Hospitals,Proprietary
+85005,88th Medical Group (Wright-Patterson AFB),88 MDG 4881 Sugar Maple Dr.,Wright-Patterson AFB,OH,45433,GREENE,(937) 257-9926,Acute Care - Department of Defense,Department of Defense
+42475,ST LUKE'S DES PERES HOSPITAL,2345 DOUGHERTY FERRY ROAD,SAINT LOUIS,MO,63122,ST. LOUIS,(314) 966-9100,Acute Care Hospitals,Proprietary
+27741,INCLINE VILLAGE HEALTH CENTER,880 ALDER STREET,INCLINE VILLAGE,NV,89451,WASHOE,(775) 833-4100,Critical Access Hospitals,Government - Hospital District or Authority
+44408,LODI COMMUNITY HOSPITAL,225 ELYRIA STREET,LODI,OH,44254,MEDINA,(330) 948-1222,Critical Access Hospitals,Voluntary non-profit - Private
+36190,RHODE ISLAND HOSPITAL,593 EDDY STREET,PROVIDENCE,RI,2903,PROVIDENCE,(401) 444-4000,Acute Care Hospitals,Voluntary non-profit - Private
+57349,NEW ORLEANS EAST HOSPITAL,5620 READ BLVD,NEW ORLEANS,LA,70127,ORLEANS,(504) 592-6600,Acute Care Hospitals,Government - Hospital District or Authority
+24198,SUMMIT MEDICAL CENTER,6350 E 2ND STREET,CASPER,WY,82609,NATRONA,(307) 232-6600,Acute Care Hospitals,Physician
+44434,"SAINT FRANCIS HOSPITAL SOUTH, LLC",10501 EAST 91ST STREET SOUTH,TULSA,OK,74133,TULSA,(918) 307-6000,Acute Care Hospitals,Voluntary non-profit - Private
+54345,OLMSTED MEDICAL CENTER,1650 FOURTH STREET SOUTHEAST,ROCHESTER,MN,55904,OLMSTED,(507) 287-2761,Acute Care Hospitals,Voluntary non-profit - Private
+46152,MILLCREEK COMMUNITY HOSPITAL,5515 PEACH STREET,ERIE,PA,16509,ERIE,(814) 864-4031,Acute Care Hospitals,Voluntary non-profit - Private
+36025,ROCKCASTLE REGIONAL HOSPITAL & RESPIRATORY CARE CT,145 NEWCOMB AVENUE,MOUNT VERNON,KY,40456,ROCKCASTLE,(606) 256-2195,Acute Care Hospitals,Voluntary non-profit - Private
+80814,SANFORD JACKSON MEDICAL CENTER,1430 NORTH HIGHWAY,JACKSON,MN,56143,JACKSON,(507) 847-2420,Critical Access Hospitals,Voluntary non-profit - Private
+44518,ST LUKE'S MCCALL,1000 STATE STREET,BURGDORF,ID,83638,VALLEY,(208) 630-2395,Critical Access Hospitals,Voluntary non-profit - Private
+27335,WELLSTAR DOUGLAS HOSPITAL,8954 HOSPITAL DRIVE,DOUGLASVILLE,GA,30134,DOUGLAS,(770) 949-1500,Acute Care Hospitals,Voluntary non-profit - Private
+75487,COX BARTON COUNTY HOSPITAL,29 NW 1ST LANE,LAMAR,MO,64759,BARTON,(417) 682-6081,Critical Access Hospitals,Government - Local
+52137,READING HOSPITAL,420 S 5TH AVENUE,WEST READING,PA,19611,BERKS,(610) 988-8000,Acute Care Hospitals,Voluntary non-profit - Other
+19989,PIPESTONE COUNTY  MEDICAL CENTER,916 4TH AVENUE SOUTHWEST,PIPESTONE,MN,56164,PIPESTONE,(507) 825-5811,Critical Access Hospitals,Government - Local
+41070,CHEYENNE COUNTY HOSPITAL,210 WEST 1ST STREET,ST FRANCIS,KS,67756,CHEYENNE,(785) 332-2104,Critical Access Hospitals,Voluntary non-profit - Private
+85616,JAMESTOWN REGIONAL MEDICAL CENTER,2422 20TH ST SW,JAMESTOWN,ND,58401,STUTSMAN,(701) 252-1050,Critical Access Hospitals,Voluntary non-profit - Private
+86244,UNIVERSITY OF SOUTH ALABAMA MEDICAL CENTER,2451 FILLINGIM STREET,MOBILE,AL,36617,MOBILE,(251) 471-7110,Acute Care Hospitals,Government - State
+29575,SOUTHERN NEVADA ADULT MENTAL HEALTH SERVICES,6161 W CHARLESTON BLVD,LAS VEGAS,NV,89146,CLARK,(702) 486-6000,Psychiatric,Government - State
+56874,DALLAS MEDICAL CENTER,7 MEDICAL PARKWAY,DALLAS,TX,75234,DALLAS,(972) 247-1000,Acute Care Hospitals,Proprietary
+25307,SIGNATURE HEALTHCARE BROCKTON HOSPITAL,680 CENTER STREET,BROCKTON,MA,2302,PLYMOUTH,(508) 941-7000,Acute Care Hospitals,Voluntary non-profit - Other
+57538,WARNER HOSPITAL AND HEALTH SERVICES,422 W WHITE ST,CLINTON,IL,61727,DE WITT,(217) 935-9571,Critical Access Hospitals,Government - Local
+42615,NEURODIAGNOSTIC INSTITUTE,5435 E 16TH ST,INDIANAPOLIS,IN,46218,MARION,(317) 941-4000,Psychiatric,Government - State
+92102,AURORA MEDICAL CTR WASHINGTON COUNTY,1032 E SUMNER ST,HARTFORD,WI,53027,WASHINGTON,(262) 673-2300,Acute Care Hospitals,Voluntary non-profit - Private
+49160,QUEENS HOSPITAL CENTER,82-68 164TH STREET,JAMAICA,NY,11432,QUEENS,(718) 883-3000,Acute Care Hospitals,Government - Local
+51437,LAUDERDALE COMMUNITY HOSPITAL,326 ASBURY AVENUE,RIPLEY,TN,38063,LAUDERDALE,(731) 221-2200,Critical Access Hospitals,Proprietary
+59363,HAVEN BEHAVIORAL HOSPITAL OF PHILADELPHIA,"3301 SCOTTS LANE, FOUR FALLS BUILDING",PHILADELPHIA,PA,19129,PHILADELPHIA,(215) 475-3400,Psychiatric,Proprietary
+18058,LAWRENCE & MEMORIAL HOSPITAL,365 MONTAUK AVE,NEW LONDON,CT,6320,NEW LONDON,(860) 442-0711,Acute Care Hospitals,Voluntary non-profit - Private
+83862,SHRINERS HOSPITAL FOR CHILDREN,2211 NORTH OAK PARK AVE,CHICAGO,IL,60707,COOK,(773) 622-5400,Childrens,Voluntary non-profit - Private
+49795,AVERA DE SMET MEMORIAL HOSPITAL - CAH,306 PRAIRIE AVENUE SW  POST OFFICE BOX 160,DE SMET,SD,57231,KINGSBURY,(605) 854-3329,Critical Access Hospitals,Voluntary non-profit - Private
+49573,COLORADO PLAINS MEDICAL CENTER,1000 LINCOLN ST,FORT MORGAN,CO,80701,MORGAN,(970) 867-3391,Acute Care Hospitals,Voluntary non-profit - Other
+76798,"CALDWELL MEMORIAL HOSPITAL, INC",411 MAIN STREET,COLUMBIA,LA,71418,CALDWELL,(318) 649-6111,Acute Care Hospitals,Voluntary non-profit - Private
+69866,ADVENTHEALTH NEW SMYRNA BEACH,401 PALMETTO ST,NEW SMYRNA BEACH,FL,32170,VOLUSIA,(386) 424-5100,Acute Care Hospitals,Voluntary non-profit - Church
+13201,UNION HOSPITAL,659 BOULEVARD,DOVER,OH,44622,TUSCARAWAS,(330) 343-3311,Acute Care Hospitals,Voluntary non-profit - Other
+64100,GLENDALE ADVENTIST MEDICAL CENTER,1509 E WILSON TERRACE,GLENDALE,CA,91206,LOS ANGELES,(818) 409-8202,Acute Care Hospitals,Voluntary non-profit - Private
+86026,RIVERVIEW REGIONAL MEDICAL CENTER,600 SOUTH THIRD STREET,GADSDEN,AL,35901,ETOWAH,(256) 543-5200,Acute Care Hospitals,Proprietary
+43826,THEDACARE MEDICAL CENTER NEW LONDON,1405 MILL ST,NEW LONDON,WI,54961,WAUPACA,(920) 531-2000,Critical Access Hospitals,Voluntary non-profit - Private
+88688,HARDEMAN COUNTY MEMORIAL HOSPITAL,402 MERCER ST,QUANAH,TX,79252,HARDEMAN,(940) 663-2795,Critical Access Hospitals,Government - Hospital District or Authority
+26161,ENGLEWOOD COMMUNITY HOSPITAL,700 MEDICAL BLVD,ENGLEWOOD,FL,34223,SARASOTA,(941) 475-6571,Acute Care Hospitals,Proprietary
+91794,LEESBURG REGIONAL MEDICAL CENTER,600 E DIXIE AVE,LEESBURG,FL,34748,LAKE,(352) 323-5762,Acute Care Hospitals,Voluntary non-profit - Private
+20878,BAYLOR SURGICAL HOSPITAL AT LAS COLINAS,400 WEST INTERSTATE 635 SUITE 101,IRVING,TX,75063,DALLAS,(972) 868-4000,Acute Care Hospitals,Proprietary
+80466,UNIVERSITY BEHAVIORAL HEALTH CARE,671 HOES LANE WEST,PISCATAWAY,NJ,8854,MIDDLESEX,(732) 235-5900,Psychiatric,Government - State
+35296,INTEGRIS COMMUNITY HOSPITAL - COUNCIL CROSSING,9417 N COUNCIL ROAD,OKLAHOMA CITY,OK,73162,OKLAHOMA,(405) 550-3280,Acute Care Hospitals,Proprietary
+75371,HAMILTON MEDICAL CENTER,1200 MEMORIAL DRIVE,DALTON,GA,30720,WHITFIELD,(706) 272-6105,Acute Care Hospitals,Voluntary non-profit - Private
+93574,MERCY HOSPITAL BERRYVILLE,214 CARTER STREET,BERRYVILLE,AR,72616,CARROLL,(870) 423-3355,Critical Access Hospitals,Voluntary non-profit - Church
+41623,SKIFF MEDICAL CENTER,204 N 4TH AVE E,NEWTON,IA,50208,JASPER,(641) 792-1273,Acute Care Hospitals,Voluntary non-profit - Private
+61841,LEWIS COUNTY GENERAL HOSPITAL,7785 NORTH STATE STREET,LOWVILLE,NY,13367,LEWIS,(315) 376-5200,Critical Access Hospitals,Voluntary non-profit - Other
+81139,MINDEN MEDICAL CENTER,NO 1 MEDICAL PLAZA,MINDEN,LA,71055,WEBSTER,(318) 377-2321,Acute Care Hospitals,Proprietary
+81814,ST ELIZABETH GRANT,238 BARNES ROAD,WILLIAMSTOWN,KY,41097,GRANT,(859) 824-8105,Critical Access Hospitals,Voluntary non-profit - Church
+78964,UPMC MEMORIAL,1701 INNOVATION DRIVE,YORK,PA,17408,YORK,(717) 843-8623,Acute Care Hospitals,Voluntary non-profit - Private
+39995,AMERICAN FORK HOSPITAL,170 NORTH 1100 EAST,AMERICAN FORK,UT,84003,UTAH,(801) 855-3305,Acute Care Hospitals,Voluntary non-profit - Private
+21072,HIMA-SAN PABLO FAJARDO,GENERAL VALERO AVE#404,FAJARDO,PR,738,FAJARDO,(787) 655-0505,Acute Care Hospitals,Proprietary
+72392,GUTTENBERG MUNICIPAL HOSPITAL,200 MAIN STREET,GUTTENBERG,IA,52052,CLAYTON,(563) 252-1121,Critical Access Hospitals,Government - Local
+25426,NORTHEASTERN HEALTH SYSTEM,1400 EAST DOWNING STREET,TAHLEQUAH,OK,74465,CHEROKEE,(918) 456-0641,Acute Care Hospitals,Government - Local
+34056,HANCOCK COUNTY HEALTH SYSTEM,532 1ST ST NW,BRITT,IA,50423,HANCOCK,(641) 843-5000,Critical Access Hospitals,Government - Local
+32399,BAPTIST HEALTH LA GRANGE,1025 NEW MOODY LANE,LA GRANGE,KY,40031,OLDHAM,(502) 222-5388,Acute Care Hospitals,Voluntary non-profit - Private
+70547,UNITED HOSPITAL CENTER,327 MEDICAL PARK DRIVE,BRIDGEPORT,WV,26330,HARRISON,(681) 342-1000,Acute Care Hospitals,Voluntary non-profit - Private
+28880,SAUNDERS MEDICAL CENTER,1760 COUNTY RD J,WAHOO,NE,68066,SAUNDERS,(402) 443-4191,Critical Access Hospitals,Government - Local
+69685,SENTARA NORTHERN VIRGINIA MEDICAL CENTER,2300 OPITZ BOULEVARD,WOODBRIDGE,VA,22191,PRINCE WILLIAM,(703) 523-1000,Acute Care Hospitals,Voluntary non-profit - Private
+14742,SILVER CROSS HOSPITAL  AND MEDICAL CENTERS,1900 SILVER CROSS BLVD,NEW LENOX,IL,60451,WILL,(815) 300-1100,Acute Care Hospitals,Voluntary non-profit - Private
+64813,"NEUROPSYCHIATRIC HOSPITAL OF INDIANAPOLIS, LLC","6720 PARKDALE PLACE, SUITE 100",INDIANAPOLIS,IN,46254,MARION,(317) 744-9200,Psychiatric,Proprietary
+85246,ADVENTIST BOLINGBROOK HOSPITAL,500 REMINGTON BOULEVARD,BOLINGBROOK,IL,60440,WILL,(630) 312-5000,Acute Care Hospitals,Voluntary non-profit - Private
+10386,CATSKILL REGIONAL MEDICAL CENTER,68 HARRIS BUSHVILLE ROAD,HARRIS,NY,12742,SULLIVAN,(845) 794-3300,Acute Care Hospitals,Voluntary non-profit - Private
+22187,STANDING ROCK INDIAN HEALTH SERVICE HOSPITAL,10 NORTH RIVER ROAD,FORT YATES,ND,58538,SIOUX,(701) 854-3831,Acute Care Hospitals,Government - Federal
+33312,METHODIST MCKINNEY HOSPITAL,8000 W ELDORADO PKWY BLDG C SUITE C,MCKINNEY,TX,75070,COLLIN,(214) 491-5710,Acute Care Hospitals,Proprietary
+72738,PELHAM MEDICAL CENTER,250 WESTMORELAND ROAD,GREER,SC,29651,GREENVILLE,(864) 560-6554,Acute Care Hospitals,Government - Hospital District or Authority
+20431,SAINT VINCENT HOSPITAL,232 WEST 25TH STREET,ERIE,PA,16544,ERIE,(814) 452-5111,Acute Care Hospitals,Voluntary non-profit - Private
+45461,RIVER OAKS HOSPITAL,1525 RIVER OAKS WEST,HARAHAN,LA,70123,JEFFERSON,(504) 734-1740,Psychiatric,Proprietary
+34968,MIMBRES MEMORIAL HOSPITAL,900 W ASH,DEMING,NM,88031,LUNA,(575) 546-5803,Critical Access Hospitals,Proprietary
+92377,ADVANCED SURGICAL HOSPITAL,100 TRICH DRIVE,WASHINGTON,PA,15301,WASHINGTON,(724) 884-0710,Acute Care Hospitals,Physician
+40925,INSPIRA BEHAVIOR CARE CORP,CALLE GUADALUPE 184 (ANTIGUO HOSPITAL SAN LUCAS),PONCE,PR,733,PONCE,(787) 709-4130,Psychiatric,Proprietary
+70829,SALINA REGIONAL HEALTH CENTER,400 SOUTH SANTA FE AVENUE,SALINA,KS,67401,SALINE,(785) 452-7000,Acute Care Hospitals,Voluntary non-profit - Private
+55342,GOSHEN GENERAL HOSPITAL,200 HIGH PARK AVE,GOSHEN,IN,46526,ELKHART,(574) 364-1000,Acute Care Hospitals,Voluntary non-profit - Private
+34761,LAC/OLIVE VIEW-UCLA MEDICAL CENTER,14445 OLIVE VIEW DRIVE,SYLMAR,CA,91342,LOS ANGELES,(818) 364-1555,Acute Care Hospitals,Voluntary non-profit - Other
+48349,CREEK NATION COMMUNITY HOSPITAL,1800 E COPLIN,OKEMAH,OK,74859,OKFUSKEE,(918) 623-1424,Critical Access Hospitals,Tribal
+50844,UMD SHORE MEDICAL CTR AT CHESTERTOWN,100 BROWN STREET,CHESTERTOWN,MD,21620,KENT,(410) 778-7668,Acute Care Hospitals,Voluntary non-profit - Private
+57592,MONTEREY PARK HOSPITAL,900 S ATLANTIC BLVD,MONTEREY PARK,CA,91754,LOS ANGELES,(626) 570-9000,Acute Care Hospitals,Proprietary
+49231,BAYLOR MEDICAL CENTER AT FRISCO,5601 WARREN PARKWAY,FRISCO,TX,75034,DENTON,(214) 618-2000,Acute Care Hospitals,Proprietary
+29473,ILLINOIS VALLEY COMMUNITY HOSPITAL,925 WEST ST,PERU,IL,61354,LA SALLE,(815) 223-3300,Acute Care Hospitals,Voluntary non-profit - Private
+52212,ORTONVILLE AREA HEALTH SERVICES,450 EASTVOLD AVE,ORTONVILLE,MN,56278,BIG STONE,(320) 839-2505,Critical Access Hospitals,Government - Local
+20634,SPECTRUM HEALTH REED CITY HOSPITAL,"300 N PATTERSON, PO BOX 75",REED CITY,MI,49677,OSCEOLA,(231) 832-3271,Critical Access Hospitals,Voluntary non-profit - Private
+61509,EL PASO BEHAVIORAL HEALTH SYSTEM,1900 DENVER AVE,EL PASO,TX,79902,EL PASO,(915) 544-4000,Psychiatric,Proprietary
+19504,CENTRAL WASHINGTON HOSPITAL,1201 SOUTH MILLER STREET,WENATCHEE,WA,98807,CHELAN,(509) 662-1511,Acute Care Hospitals,Voluntary non-profit - Private
+47754,ACADIA ST LANDRY,810 SOUTH BROADWAY STREET,CHURCH POINT,LA,70525,ACADIA,(337) 684-5435,Critical Access Hospitals,Government - Hospital District or Authority
+34157,RUBY VALLEY MEDICAL CENTER,321 MADISON ST,SHERIDAN,MT,59749,MADISON,(406) 842-5453,Critical Access Hospitals,Voluntary non-profit - Private
+33512,PINNACLE HOSPITAL,9301 CONNECTICUT DR,CROWN POINT,IN,46307,LAKE,(219) 756-2100,Acute Care Hospitals,Physician
+36721,NATCHITOCHES REGIONAL MEDICAL CENTER,501 KEYSER AVE,NATCHITOCHES,LA,71457,NATCHITOCHES,(318) 471-2628,Acute Care Hospitals,Government - Hospital District or Authority
+15150,CULBERSON HOSPITAL,EISENHOWER ROAD AND FM 2185,VAN HORN,TX,79855,CULBERSON,(432) 283-2760,Critical Access Hospitals,Proprietary
+23518,ERLANGER MEDICAL CENTER,975 E 3RD ST,CHATTANOOGA,TN,37403,HAMILTON,(423) 778-7000,Acute Care Hospitals,Government - Hospital District or Authority
+71530,PIONEER MEDICAL CENTER,301 W 7TH AVE,BIG TIMBER,MT,59011,SWEET GRASS,(406) 932-4603,Critical Access Hospitals,Voluntary non-profit - Private
+29249,CAROLINA PINES REGIONAL MEDICAL CENTER,1304 W BOBO NEWSOM HWY,HARTSVILLE,SC,29550,DARLINGTON,(864) 339-2100,Acute Care Hospitals,Proprietary
+72910,RIVERSIDE UNIVERSITY HEALTH SYSTEM-MEDICAL CENTER,26520 CACTUS AVENUE,MORENO VALLEY,CA,92555,RIVERSIDE,(951) 486-4000,Acute Care Hospitals,Government - Local
+36273,MEMORIAL HOSPITAL OF CARBON COUNTY,2221 WEST ELM STREET,RAWLINS,WY,82301,CARBON,(307) 324-2221,Critical Access Hospitals,Government - Local
+79333,KIOWA COUNTY MEMORIAL HOSPITAL,721 WEST KANSAS,GREENSBURG,KS,67054,KIOWA,(620) 723-3341,Critical Access Hospitals,Government - Local
+71775,ADVENTIST HEALTH TILLAMOOK,1000 THIRD STREET,TILLAMOOK,OR,97141,TILLAMOOK,(503) 842-4444,Critical Access Hospitals,Voluntary non-profit - Church
+54364,"SAINT ALPHONSUS MEDICAL CENTER - BAKER CITY, INC",3325 POCAHONTAS ROAD,BAKER CITY,OR,97814,BAKER,(541) 524-7744,Critical Access Hospitals,Voluntary non-profit - Church
+14912,MOUNT DESERT ISLAND HOSPITAL,"10 WAYMAN LANE, PO BOX 8",BAR HARBOR,ME,4609,HANCOCK,(207) 288-5081,Critical Access Hospitals,Voluntary non-profit - Private
+56690,NORTHEAST ALABAMA REGIONAL MEDICAL CENTER,400 EAST 10TH STREET,ANNISTON,AL,36207,CALHOUN,(256) 235-5121,Acute Care Hospitals,Government - Local
+71402,TAUNTON STATE HOSPITAL,"60 HODGES AVENUE, BOX 151",TAUNTON,MA,2780,BRISTOL,(508) 977-3000,Psychiatric,Government - State
+79450,NORTON HOSPITAL / NORTON HEALTHCARE PAVILION / NOR,200 EAST CHESTNUT STREET,LOUISVILLE,KY,40202,JEFFERSON,(502) 629-8000,Acute Care Hospitals,Voluntary non-profit - Private
+37983,KOSCIUSKO COMMUNITY HOSPITAL,2101 E DUBOIS DR,WARSAW,IN,46580,KOSCIUSKO,(574) 267-3200,Acute Care Hospitals,Proprietary
+45381,PRESENCE SAINT JOSEPH MEDICAL CENTER,333 N MADISON ST,JOLIET,IL,60435,WILL,(815) 725-7133,Acute Care Hospitals,Voluntary non-profit - Church
+92815,SUGAR LAND SURGICAL HOSPITAL LLP,16906 SOUTHWEST FREEWAY,SUGAR LAND,TX,77479,FORT BEND,(281) 243-1000,Acute Care Hospitals,Physician
+31183,GREATER REGIONAL MEDICAL CENTER,1700 WEST TOWNLINE STREET,CRESTON,IA,50801,UNION,(641) 782-7091,Critical Access Hospitals,Government - Local
+37401,POPLAR SPRINGS HOSPITAL,350 POPLAR DRIVE  PO BOX 3060,PETERSBURG,VA,23805,PETERSBURG CITY,(804) 733-6874,Psychiatric,Proprietary
+94504,ESSENTIA HEALTH FOSSTON,900 HILLIGOSS BOULEVARD SE,FOSSTON,MN,56542,POLK,(218) 435-1133,Critical Access Hospitals,Voluntary non-profit - Private
+54465,CHI ST LUKES HEALTH MEMORIAL LUFKIN,1201 WEST FRANK STREET,LUFKIN,TX,75901,ANGELINA,(936) 634-8111,Acute Care Hospitals,Voluntary non-profit - Private
+44342,ALLEGAN GENERAL HOSPITAL,555 LINN STREET,ALLEGAN,MI,49010,ALLEGAN,(269) 686-4101,Critical Access Hospitals,Voluntary non-profit - Other
+86975,MERCY MEDICAL CENTER - CEDAR RAPIDS,701 10TH STREET SE,CEDAR RAPIDS,IA,52403,LINN,(319) 398-6011,Acute Care Hospitals,Voluntary non-profit - Church
+40148,DEKALB HEALTH,1316 E SEVENTH ST,AUBURN,IN,46706,DE KALB,(260) 925-4600,Acute Care Hospitals,Voluntary non-profit - Private
+41230,CLEVELAND CLINIC,9500 EUCLID AVENUE,CLEVELAND,OH,44195,CUYAHOGA,(216) 445-8400,Acute Care Hospitals,Voluntary non-profit - Private
+12846,MEDICAL CENTER ENTERPRISE,400 N EDWARDS STREET,ENTERPRISE,AL,36330,COFFEE,(334) 347-0584,Acute Care Hospitals,Proprietary
+62385,ST LUKE'S WOOD RIVER MEDICAL CENTER,100 HOSPITAL DRIVE,KETCHUM,ID,83340,BLAINE,(208) 727-8800,Critical Access Hospitals,Voluntary non-profit - Private
+75229,DUBLIN SPRINGS,7625 HOSPITAL DRIVE,DUBLIN,OH,43016,FRANKLIN,(614) 300-9100,Psychiatric,Proprietary
+87245,GEORGETOWN BEHAVIORAL HEALTH INSTITUTE,3101 S AUSTIN AVENUE,GEORGETOWN,TX,78626,WILLIAMSON,(248) 905-5091,Psychiatric,Proprietary
+89941,COLUMBUS COMMUNITY HOSPITAL,4600 38TH ST,COLUMBUS,NE,68601,PLATTE,(402) 562-3351,Acute Care Hospitals,Voluntary non-profit - Other
+24050,TEXAS HEALTH PRESBYTERIAN HOSPITAL  DALLAS,8200 WALNUT HILL LANE,DALLAS,TX,75231,DALLAS,(214) 345-6789,Acute Care Hospitals,Voluntary non-profit - Private
+29665,NORTH VALLEY HOSPITAL,203 SOUTH WESTERN,TONASKET,WA,98855,OKANOGAN,(509) 486-2151,Critical Access Hospitals,Government - Local
+89827,WAGNER COMMUNITY MEMORIAL HOSPITAL - CAH,513 3RD ST SW  POST OFFICE BOX 280,WAGNER,SD,57380,CHARLES MIX,(605) 384-3611,Critical Access Hospitals,Voluntary non-profit - Other
+32979,ST ELIZABETH FLORENCE,4900 HOUSTON ROAD,FLORENCE,KY,41042,BOONE,(859) 212-5220,Acute Care Hospitals,Voluntary non-profit - Private
+71471,MIDDLE TN MENTAL HEALTH INSTITUTE,221 STEWARTS FERRY PIKE,NASHVILLE,TN,37214,DAVIDSON,(615) 902-7565,Psychiatric,Government - State
+75099,DEL AMO HOSPITAL,23700 CAMINO DEL SOL,TORRANCE,CA,90505,LOS ANGELES,(310) 530-1151,Psychiatric,Proprietary
+62560,DESERT SPRINGS HOSPITAL,2075 EAST FLAMINGO ROAD,LAS VEGAS,NV,89119,CLARK,(702) 369-7600,Acute Care Hospitals,Proprietary
+52696,ST VINCENT MEDICAL CENTER/NORTH,2215 WILDWOOD AVENUE,SHERWOOD,AR,72120,PULASKI,(501) 552-7100,Acute Care Hospitals,Voluntary non-profit - Church
+82227,NORTHWEST CENTER FOR BEHAVIORAL HEALTH (NCBH),1 MILE EAST US HIGHWAY 270,FORT SUPPLY,OK,73841,WOODWARD,(580) 766-2311,Psychiatric,Government - State
+76904,CEDAR HILLS HOSPITAL,10300 SW EASTRIDGE STREET,PORTLAND,OR,97225,WASHINGTON,(503) 944-5000,Psychiatric,Proprietary
+19910,IRAAN GENERAL HOSPITAL,600 HIGHWAY 349 NORTH,IRAAN,TX,79744,PECOS,(432) 639-2575,Critical Access Hospitals,Government - Hospital District or Authority
+81451,COPIAH COUNTY MEDICAL CENTER,21790 HIGHWAY 28,HAZLEHURST,MS,39083,COPIAH,(601) 574-7000,Critical Access Hospitals,Government - Local
+37419,ST JUDE MEDICAL CENTER,101 E VALENCIA MESA DRIVE,FULLERTON,CA,92835,ORANGE,(714) 992-3000,Acute Care Hospitals,Voluntary non-profit - Church
+66747,BROADLAWNS MEDICAL CENTER,1801 HICKMAN ROAD,DES MOINES,IA,50314,POLK,(515) 282-2200,Acute Care Hospitals,Government - Local
+25573,BROOKS MEMORIAL HOSPITAL,529 CENTRAL AVENUE,DUNKIRK,NY,14048,CHAUTAUQUA,(716) 366-1111,Acute Care Hospitals,Voluntary non-profit - Private
+53169,J PAUL JONES HOSPITAL,317 MCWILLIAMS AVENUE,CAMDEN,AL,36726,WILCOX,(334) 682-4131,Acute Care Hospitals,Voluntary non-profit - Other
+69175,TANNER MEDICAL CENTER VILLA RICA,601 DALLAS HIGHWAY,VILLA RICA,GA,30180,CARROLL,(770) 456-3101,Acute Care Hospitals,Government - Hospital District or Authority
+49446,ABRAHAM LINCOLN MEMORIAL HOSPITAL,200 STAHLHUT DRIVE,LINCOLN,IL,62656,LOGAN,(217) 732-2161,Critical Access Hospitals,Voluntary non-profit - Private
+66837,PARKER ADVENTIST HOSPITAL,9395 CROWN CREST BLVD,PARKER,CO,80138,DOUGLAS,(303) 269-4000,Acute Care Hospitals,Voluntary non-profit - Private
+49831,AVERA GETTYSBURG HOSPITAL,606 EAST GARFIELD,GETTYSBURG,SD,57442,POTTER,(605) 765-2480,Critical Access Hospitals,Voluntary non-profit - Church
+28121,LONG ISLAND COMMUNITY HOSPITAL,101 HOSPITAL ROAD,PATCHOGUE,NY,11772,SUFFOLK,(631) 654-7100,Acute Care Hospitals,Voluntary non-profit - Private
+10885,TEXAS HEALTH HEB,1600 HOSPITAL PARKWAY,BEDFORD,TX,76022,TARRANT,(817) 848-4000,Acute Care Hospitals,Voluntary non-profit - Private
+24522,"THE OUTER BANKS HOSPITAL, INC",4800 SOUTH CROATAN HIGHWAY,NAGS HEAD,NC,27959,DARE,(252) 449-4500,Critical Access Hospitals,Voluntary non-profit - Private
+23947,Keller ACH (West Point),900 Washington Rd,West Point,NY,10996,ORANGE,(845) 938-4034,Acute Care - Department of Defense,Department of Defense
+39941,DELL SETON  MED CENTER AT THE UNIVERSITY OF TX,601 E 15TH STREET,AUSTIN,TX,78701,TRAVIS,(512) 324-7000,Acute Care Hospitals,Voluntary non-profit - Private
+71537,PASSAVANT AREA HOSPITAL,1600 W WALNUT ST,JACKSONVILLE,IL,62650,MORGAN,(217) 245-9551,Acute Care Hospitals,Voluntary non-profit - Private
+10879,MONTEFIORE NEW ROCHELLE HOSPITAL,16 GUION PLACE,NEW ROCHELLE,NY,10802,WESTCHESTER,(914) 632-5000,Acute Care Hospitals,Voluntary non-profit - Private
+28456,STARR COUNTY MEMORIAL HOSPITAL,128  N FM RD 3167,RIO GRANDE CITY,TX,78582,STARR,(956) 487-5561,Acute Care Hospitals,Government - Hospital District or Authority
+55115,EAST ALABAMA MEDICAL CENTER,2000 PEPPERELL PARKWAY,OPELIKA,AL,36801,LEE,(334) 749-3411,Acute Care Hospitals,Government - Hospital District or Authority
+66910,WINNESHIEK MEDICAL CENTER,901 MONTGOMERY STREET,DECORAH,IA,52101,WINNESHIEK,(563) 382-2911,Critical Access Hospitals,Government - Local
+19658,OHIO VALLEY GENERAL HOSPITAL,25 HECKEL ROAD,MCKEES ROCKS,PA,15136,ALLEGHENY,(412) 777-6161,Acute Care Hospitals,Voluntary non-profit - Private
+58228,MERIT HEALTH NATCHEZ,52 SERGEANT PRENTISS DRIVE,NATCHEZ,MS,39120,ADAMS,(601) 443-2100,Acute Care Hospitals,Proprietary
+50127,PROMEDICA MONROE REGIONAL HOSPITAL,718 N MACOMB ST,MONROE,MI,48162,MONROE,(734) 240-8400,Acute Care Hospitals,Voluntary non-profit - Other
+11230,MEMORIAL HEALTH CARE SYSTEMS,300 NORTH COLUMBIA AVE,SEWARD,NE,68434,SEWARD,(402) 643-2971,Critical Access Hospitals,Voluntary non-profit - Private
+40421,PALO PINTO GENERAL HOSPITAL,400 SOUTHWEST 25 AVE,MINERAL WELLS,TX,76067,PALO PINTO,(940) 325-7891,Acute Care Hospitals,Government - Hospital District or Authority
+45612,DELAWARE COUNTY MEMORIAL HOSPITAL,501 NORTH LANSDOWNE AVE,DREXEL HILL,PA,19026,DELAWARE,(215) 284-8100,Acute Care Hospitals,Voluntary non-profit - Private
+44661,ONEIDA HEALTH HOSPITAL,321 GENESEE STREET,ONEIDA,NY,13421,MADISON,(315) 363-6000,Acute Care Hospitals,Voluntary non-profit - Other
+28643,VALLEY HOSPITAL,223 N VAN DIEN AVENUE,RIDGEWOOD,NJ,7450,BERGEN,(201) 447-8000,Acute Care Hospitals,Voluntary non-profit - Private
+23675,TENNOVA HEALTHCARE-CLEVELAND,2305 CHAMBLISS AVE NW,CLEVELAND,TN,37311,BRADLEY,(423) 339-4132,Acute Care Hospitals,Proprietary
+91996,OLYMPIA MEDICAL CENTER,5900 WEST OLYMPIC BOULEVARD,LOS ANGELES,CA,90036,LOS ANGELES,(310) 657-5900,Acute Care Hospitals,Proprietary
+90654,LAUREL RIDGE TREATMENT CENTER,17720 CORPORATE WOODS DRIVE,SAN ANTONIO,TX,78259,BEXAR,(512) 491-9400,Psychiatric,Proprietary
+18286,CAPE FEAR VALLEY HOKE HOSPITAL,210 MEDICAL PAVILION DRIVE,RAEFORD,NC,28376,HOKE,(910) 904-8000,Acute Care Hospitals,Voluntary non-profit - Private
+22907,HOUSTON METHODIST WEST HOSPITAL,18500 KATY FREEWAY,HOUSTON,TX,77094,HARRIS,(832) 522-1000,Acute Care Hospitals,Voluntary non-profit - Private
+11916,BON SECOURS MARYVIEW MEDICAL CENTER,3636 HIGH STREET,PORTSMOUTH,VA,23707,PORTSMOUTH CITY,(757) 398-2200,Acute Care Hospitals,Voluntary non-profit - Private
+85902,SOUTHSIDE REGIONAL MEDICAL CENTER,200 MEDICAL PARK BOULEVARD,PETERSBURG,VA,23805,PETERSBURG CITY,(804) 765-5000,Acute Care Hospitals,Proprietary
+86150,MEADE DISTRICT HOSPITAL,510 EAST CARTHAGE,MEADE,KS,67864,MEADE,(620) 873-2141,Critical Access Hospitals,Government - Hospital District or Authority
+22378,CRAWFORD MEMORIAL HOSPITAL,1000 NORTH ALLEN STREET,ROBINSON,IL,62454,CRAWFORD,(618) 544-3131,Critical Access Hospitals,Government - Hospital District or Authority
+51011,MAGRUDER HOSPITAL,615 FULTON ST,PORT CLINTON,OH,43452,OTTAWA,(419) 734-3131,Critical Access Hospitals,Voluntary non-profit - Private
+32432,ST ALEXIUS HOSPITAL,3933 S BROADWAY,SAINT LOUIS,MO,63118,ST. LOUIS CITY,(314) 865-7000,Acute Care Hospitals,Proprietary
+64027,ROOSEVELT MEDICAL CENTER,818 2ND AVE E,CULBERTSON,MT,59218,ROOSEVELT,(406) 787-6401,Critical Access Hospitals,Voluntary non-profit - Private
+28736,William Beaumont AMG (FT Bliss),5005 N. Piedras St.,El Paso,TX,79920,EL PASO,(915) 742-2121,Acute Care - Department of Defense,Department of Defense
+40499,ST TAMMANY PARISH HOSPITAL,1202 S TYLER STREET,COVINGTON,LA,70433,ST. TAMMANY,(985) 898-4000,Acute Care Hospitals,Government - Hospital District or Authority
+76591,ANSON GENERAL HOSPITAL,101 AVENUE J,ANSON,TX,79501,JONES,(325) 823-3231,Acute Care Hospitals,Government - Local
+29942,CENTRAL LOUISIANA SURGICAL HOSPITAL,651 NORTH BOLTON AVE,ALEXANDRIA,LA,71301,RAPIDES,(318) 449-6400,Acute Care Hospitals,Physician
+26588,WHITE PLAINS HOSPITAL CENTER,41 EAST POST R0AD,WHITE PLAINS,NY,10601,WESTCHESTER,(914) 681-0600,Acute Care Hospitals,Voluntary non-profit - Private
+35468,WICKENBURG COMMUNITY HOSPITAL,520 ROSE LANE,WICKENBURG,AZ,85390,MARICOPA,(928) 684-5421,Critical Access Hospitals,Voluntary non-profit - Private
+12240,MOBERLY REGIONAL MEDICAL CENTER,1515 UNION AVE,MOBERLY,MO,65270,RANDOLPH,(660) 263-8400,Acute Care Hospitals,Proprietary
+45624,KANSAS HEART HOSPITAL,3601 NORTH WEBB ROAD,WICHITA,KS,67226,SEDGWICK,(316) 630-5000,Acute Care Hospitals,Proprietary
+39015,PRESBYTERIAN SANTA FE MEDICAL CENTER,4801 BECKNER ROAD,SANTA FE,NM,87507,SANTA FE,(505) 923-8826,Acute Care Hospitals,Voluntary non-profit - Private
+35513,VIRGINIA MASON MEDICAL CENTER,925 SENECA ST,SEATTLE,WA,98101,KING,(206) 223-6600,Acute Care Hospitals,Voluntary non-profit - Private
+62058,DALLAS COUNTY HOSPITAL,610 TENTH STREET,PERRY,IA,50220,DALLAS,(515) 465-3547,Critical Access Hospitals,Voluntary non-profit - Other
+85925,LORETTO HOSPITAL,645 SOUTH CENTRAL AVE,CHICAGO,IL,60644,COOK,(773) 626-4300,Acute Care Hospitals,Voluntary non-profit - Other
+41808,HORSHAM CLINIC,722 EAST BUTLER PIKE,AMBLER,PA,19002,MONTGOMERY,(215) 643-7800,Psychiatric,Proprietary
+20493,SANTA FE PHS INDIAN HOSPITAL,1700 CERRILLOS ROAD,SANTA FE,NM,87501,SANTA FE,(505) 988-9821,Acute Care Hospitals,Government - Federal
+19932,MS STATE HOSPITAL-WHITFIELD,3550 HIGHWAY 468 WEST,WHITFIELD,MS,39193,RANKIN,(601) 351-8000,Psychiatric,Government - Local
+49844,CENTURA HEALTH-AVISTA ADVENTIST HOSPITAL,100 HEALTH PARK DR,LOUISVILLE,CO,80027,BOULDER,(303) 673-1280,Acute Care Hospitals,Voluntary non-profit - Church
+48878,PIEDMONT MEDICAL CENTER,222 S HERLONG AVE,ROCK HILL,SC,29730,YORK,(803) 329-1234,Acute Care Hospitals,Proprietary
+89596,MUNSON HEALTHCARE OTSEGO MEMORIAL HOSPITAL,825 N CENTER AVE,GAYLORD,MI,49735,OTSEGO,(989) 731-2100,Acute Care Hospitals,Voluntary non-profit - Private
+27531,SETON HIGHLAND LAKES,HIGHWAY 281 SOUTH,BURNET,TX,78611,BURNET,(512) 715-3000,Critical Access Hospitals,Voluntary non-profit - Private
+14240,SCOTT & WHITE HOSPITAL-ROUND ROCK,300 UNIVERSITY BLVD,ROUND ROCK,TX,78664,WILLIAMSON,(512) 509-0100,Acute Care Hospitals,Voluntary non-profit - Private
+60068,CHARLOTTE HUNGERFORD HOSPITAL,540 LITCHFIELD ST,TORRINGTON,CT,6790,LITCHFIELD,(860) 496-6666,Acute Care Hospitals,Voluntary non-profit - Private
+73776,RARITAN BAY MEDICAL CENTER PERTH AMBOY DIVISION,530 NEW BRUNSWICK AVE,PERTH AMBOY,NJ,8861,MIDDLESEX,(732) 442-3700,Acute Care Hospitals,Voluntary non-profit - Private
+60861,"ACCESS HOSPITAL DAYTON, LLC",2611 WAYNE AVENUE,DAYTON,OH,45420,MONTGOMERY,(937) 256-7801,Psychiatric,Voluntary non-profit - Private
+66452,BAYLOR SCOTT & WHITE  CLINIC - TEMPLE,2401 S  31ST ST,TEMPLE,TX,76508,BELL,(254) 724-2111,Acute Care Hospitals,Voluntary non-profit - Private
+12000,NORTHERN HOSPITAL OF SURRY COUNTY,830 ROCKFORD ST,MOUNT AIRY,NC,27030,SURRY,(336) 719-7000,Acute Care Hospitals,Government - Hospital District or Authority
+77898,MERCY HOSPITAL CASSVILLE,94 MAIN STREET,CASSVILLE,MO,65625,BARRY,(417) 847-6065,Critical Access Hospitals,Voluntary non-profit - Church
+33180,SAN GABRIEL VALLEY MEDICAL CENTER,438 W LAS TUNAS DRIVE,SAN GABRIEL,CA,91776,LOS ANGELES,(626) 289-5454,Acute Care Hospitals,Proprietary
+71835,LINTON HOSPITAL - CAH,518 NORTH BROADWAY,LINTON,ND,58552,EMMONS,(701) 254-4511,Critical Access Hospitals,Voluntary non-profit - Private
+11424,MERCY SAN JUAN MEDICAL CENTER,6501 COYLE AVE,CARMICHAEL,CA,95608,SACRAMENTO,(916) 537-5000,Acute Care Hospitals,Voluntary non-profit - Other
+67235,AVERA MCKENNAN HOSPITAL & UNIVERSITY HEALTH CENTER,1325 S CLIFF AVE  POST OFFICE BOX 5045,SIOUX FALLS,SD,57117,MINNEHAHA,(605) 322-8000,Acute Care Hospitals,Voluntary non-profit - Private
+77854,T J SAMSON COMMUNITY HOSPITAL,1301 NORTH RACE STREET,GLASGOW,KY,42141,BARREN,(270) 651-4159,Acute Care Hospitals,Voluntary non-profit - Other
+93643,ASHTABULA COUNTY MEDICAL CENTER,2420 LAKE AVENUE,ASHTABULA,OH,44004,ASHTABULA,(440) 997-2262,Acute Care Hospitals,Voluntary non-profit - Private
+57716,OCEANS BEHAVIORAL  HOSPITAL OF PERMIAN BASIN,3300 S FM 1788,MIDLAND,TX,79706,MIDLAND,(432) 561-5915,Psychiatric,Proprietary
+40653,ATLANTICARE REGIONAL MEDICAL CENTER - CITY CAMPUS,1925 PACIFIC AVENUE,ATLANTIC CITY,NJ,8401,ATLANTIC,(609) 441-8020,Acute Care Hospitals,Voluntary non-profit - Other
+63574,EDGERTON HOSPITAL AND HEALTH SERVICES,11101 N SHERMAN ROAD,EDGERTON,WI,53534,ROCK,(608) 884-3441,Critical Access Hospitals,Voluntary non-profit - Private
+46241,PETERSBURG MEDICAL CENTER,PO BOX 589,PETERSBURG,AK,99833,PETERSBURG BOROUGH,(907) 772-4291,Critical Access Hospitals,Government - Local
+90010,TRUMAN MEDICAL CENTER LAKEWOOD,7900 LEE'S SUMMIT RD,KANSAS CITY,MO,64139,JACKSON,(816) 404-7000,Acute Care Hospitals,Voluntary non-profit - Private
+78981,CARL ALBERT COMMUNITY MENTAL HEALTH CENTER,1101 EAST MONROE,MCALESTER,OK,74501,PITTSBURG,(918) 426-7800,Psychiatric,Government - State
+17292,CRITTENDEN COMMUNITY HOSPITAL,520 WEST GUM STREET,MARION,KY,42064,CRITTENDEN,(270) 965-1001,Acute Care Hospitals,Government - Local
+45828,THOMAS MEMORIAL HOSPITAL,4605 MACCORKLE AVENUE SW,SOUTH CHARLESTON,WV,25309,KANAWHA,(304) 766-3600,Acute Care Hospitals,Voluntary non-profit - Private
+91015,CENTRACARE HEALTH SYSTEM - LONG PRAIRIE,50 CENTRACARE DRIVE,LONG PRAIRIE,MN,56347,TODD,(320) 732-2141,Critical Access Hospitals,Voluntary non-profit - Private
+36848,GUAM REGIONAL MEDICAL CITY,133 ROUTE 3,DEDEDO,GU,96929,GUAM,(671) 645-5500,Acute Care Hospitals,Voluntary non-profit - Private
+78335,CONCHO COUNTY HOSPITAL,614 EAKER STREET,EDEN,TX,76837,CONCHO,(915) 869-5911,Critical Access Hospitals,Government - Hospital District or Authority
+87007,MERCY HEALTH - DEFIANCE HOSPITAL,1404 EAST SECOND STREET,DEFIANCE,OH,43512,DEFIANCE,(419) 782-8444,Acute Care Hospitals,Proprietary
+35744,PRESENCE ST MARYS HOSPITAL,500 W COURT ST,KANKAKEE,IL,60901,KANKAKEE,(815) 937-2490,Acute Care Hospitals,Voluntary non-profit - Private
+16957,WINONA HEALTH SERVICES,855 MANKATO AVENUE,WINONA,MN,55987,WINONA,(507) 454-3650,Acute Care Hospitals,Voluntary non-profit - Private
+53367,ADAIR ACUTE CARE AT OSAWATOMIE STATE HOSPITAL,500 STATE HOSPITAL DRIVE,OSAWATOMIE,KS,66064,MIAMI,(913) 755-7100,Psychiatric,Government - State
+78897,ALTON MEMORIAL HOSPITAL,ONE MEMORIAL DRIVE,ALTON,IL,62002,MADISON,(618) 463-7300,Acute Care Hospitals,Voluntary non-profit - Private
+73641,SAINT THOMAS DEKALB HOSPITAL,520 W MAIN ST,SMITHVILLE,TN,37166,DE KALB,(615) 215-5000,Acute Care Hospitals,Voluntary non-profit - Church
+71366,SAINT ANNE'S HOSPITAL,795 MIDDLE STREET,FALL RIVER,MA,2721,BRISTOL,(508) 674-5600,Acute Care Hospitals,Proprietary
+60317,KAISER FOUNDATION HOSPITAL - VACAVILLE,1 QUALITY DRIVE,VACAVILLE,CA,95688,SOLANO,(707) 624-4000,Acute Care Hospitals,Voluntary non-profit - Private
+65204,DECATUR MEMORIAL HOSPITAL,2300 NORTH EDWARD STREET,DECATUR,IL,62526,MACON,(217) 876-8121,Acute Care Hospitals,Voluntary non-profit - Other
+62496,BAY PARK COMMUNITY HOSPITAL,2801 BAY PARK DRIVE,OREGON,OH,43616,LUCAS,(419) 690-7700,Acute Care Hospitals,Voluntary non-profit - Other
+20869,KALEIDA HEALTH,100 HIGH STREET,BUFFALO,NY,14210,ERIE,(716) 859-8620,Acute Care Hospitals,Voluntary non-profit - Private
+77298,OHIOHEALTH SHELBY HOSPITAL,199 WEST MAIN STREET,SHELBY,OH,44875,RICHLAND,(419) 342-5015,Critical Access Hospitals,Voluntary non-profit - Private
+75743,ADVENTIST HEALTH CLEARLAKE,15630 18TH AVE - HWY 53,CLEARLAKE,CA,95422,LAKE,(707) 994-6486,Critical Access Hospitals,Voluntary non-profit - Church
+48761,ADVENTHEALTH ORLANDO,601 E ROLLINS ST,ORLANDO,FL,32803,ORANGE,(407) 303-1976,Acute Care Hospitals,Voluntary non-profit - Private
+41013,FRANCISCAN HEALTH LAFAYETTE,1701 S CREASY LN,LAFAYETTE,IN,47905,TIPPECANOE,(765) 502-4334,Acute Care Hospitals,Voluntary non-profit - Church
+79309,BOURNEWOOD HOSPITAL,300 SOUTH STREET,BOSTON COLLEGE,MA,2467,MIDDLESEX,(617) 469-0300,Psychiatric,Proprietary
+27236,JACKSON HOSPITAL,4250 HOSPITAL DR,MARIANNA,FL,32446,JACKSON,(850) 526-2200,Acute Care Hospitals,Government - Hospital District or Authority
+50701,FOOTHILLS HOSPITAL,4747 ARAPAHOE AVENUE,BOULDER,CO,80303,BOULDER,(303) 415-7000,Acute Care Hospitals,Voluntary non-profit - Private
+56475,SPANISH PEAKS REGIONAL HEALTH CENTER,23500 US HWY 160,WALSENBURG,CO,81089,HUERFANO,(719) 738-5100,Critical Access Hospitals,Government - Hospital District or Authority
+40569,CARRINGTON HEALTH CENTER,PO BOX 461,CARRINGTON,ND,58421,FOSTER,(701) 652-3141,Critical Access Hospitals,Voluntary non-profit - Private
+90473,SAN ANTONIO BEHAVIORAL HEALTHCARE HOSPITAL,8550 HUEBNER ROAD,SAN ANTONIO,TX,78240,BEXAR,(210) 541-5300,Psychiatric,Proprietary
+64396,"HOSPITAL OF CENTRAL CONNECTICUT, THE",100 GRAND STREET,NEW BRITAIN,CT,6050,HARTFORD,(860) 224-5011,Acute Care Hospitals,Voluntary non-profit - Other
+55165,VERDE VALLEY MEDICAL CENTER,269 SOUTH CANDY LANE,COTTONWOOD,AZ,86326,YAVAPAI,(928) 773-2357,Acute Care Hospitals,Voluntary non-profit - Private
+57540,COMMUNITY HOSPITAL OF SAN BERNARDINO,1805 MEDICAL CENTER DRIVE,SAN BERNARDINO,CA,92411,SAN BERNARDINO,(909) 887-6333,Acute Care Hospitals,Voluntary non-profit - Private
+59542,"SAINT FRANCIS HOSPITAL VINITA, INC",735 NORTH FOREMAN STREET,VINITA,OK,74301,CRAIG,(918) 256-7551,Acute Care Hospitals,Voluntary non-profit - Private
+58747,General Leonard Wood ACH (FT Leonard Wood),126 Missouri Avenue,Fort Leonard Wood,MO,65473,PULASKI,(573) 596-0035,Acute Care - Department of Defense,Department of Defense
+51917,DHHS USPHS INDIAN HEALTH SERVICES,EXIT #102 OFF I-40 1/2 MILE SOUTH,SAN FIDEL,NM,87049,CIBOLA,(505) 552-5300,Acute Care Hospitals,Government - Federal
+53002,TREGO COUNTY LEMKE MEMORIAL HOSPITAL,320 THIRTEENTH ST,WA KEENEY,KS,67672,TREGO,(785) 743-2182,Critical Access Hospitals,Government - Local
+83027,COMMUNITY MEMORIAL HOSPITAL,W180 N8085 TOWN HALL RD,MENOMONEE FALLS,WI,53051,WAUKESHA,(262) 251-1000,Acute Care Hospitals,Voluntary non-profit - Private
+41432,DOCTOR CENTER HOSPITAL SAN FERNANDO DE LA CAROLINA,EDIF JESUS T PINEIRO AVE FERNANDEZ JUNCOS BO PUEBL,CAROLINA,PR,979,SAN JUAN,(787) 725-6038,Acute Care Hospitals,Government - State
+58151,FISHER-TITUS HOSPITAL,272 BENEDICT AVENUE,NORWALK,OH,44857,HURON,(419) 668-8101,Acute Care Hospitals,Voluntary non-profit - Private
+22403,PRESENCE RESURRECTION MEDICAL CENTER,7435 W TALCOTT AVENUE,CHICAGO,IL,60631,COOK,(773) 774-8000,Acute Care Hospitals,Voluntary non-profit - Church
+43018,GALESBURG COTTAGE HOSPITAL,695 N KELLOGG ST,GALESBURG,IL,61401,KNOX,(309) 343-8131,Acute Care Hospitals,Proprietary
+85734,SOUTH DAKOTA HUMAN SERVICES CENTER,3515 BROADWAY AVE   POST OFFICE BOX 7600,YANKTON,SD,57078,YANKTON,(605) 668-3100,Psychiatric,Government - State
+51948,LIVINGSTON REGIONAL HOSPITAL,315 OAK ST BOX 550,LIVINGSTON,TN,38570,OVERTON,(931) 823-5611,Acute Care Hospitals,Proprietary
+33338,AURORA MEDICAL CENTER BURLINGTON,252 MCHENRY ST,BURLINGTON,WI,53105,RACINE,(262) 767-6545,Acute Care Hospitals,Voluntary non-profit - Private
+16523,NOVANT HEALTH MEDICAL PARK HOSPITAL,1950 S HAWTHORNE RD,WINSTON-SALEM,NC,27103,FORSYTH,(336) 718-0600,Acute Care Hospitals,Voluntary non-profit - Other
+44577,ALTUS BAYTOWN HOSPITAL,1404 W BAKER ROAD,BAYTOWN,TX,77521,HARRIS,(281) 837-7600,Acute Care Hospitals,Physician
+31705,HOWARD COUNTY GENERAL HOSPITAL,5755 CEDAR LANE,COLUMBIA,MD,21044,HOWARD,(410) 740-7890,Acute Care Hospitals,Voluntary non-profit - Private
+87800,AURORA MEDICAL CTR KENOSHA,10400 75TH ST,KENOSHA,WI,53142,KENOSHA,(262) 948-5600,Acute Care Hospitals,Voluntary non-profit - Private
+83965,HAMILTON CENTER INC,620 8TH AVE,TERRE HAUTE,IN,47804,VIGO,(812) 231-8285,Psychiatric,Voluntary non-profit - Private
+36478,GARFIELD PARK HOSPITAL,520 N RIDGEWAY AVE,CHICAGO,IL,60624,COOK,(773) 265-3700,Psychiatric,Proprietary
+17367,NORTH CENTRAL BRONX HOSPITAL,3424 KOSSUTH AVENUE & 210TH STREET,BRONX,NY,10467,BRONX,(212) 519-5000,Acute Care Hospitals,Government - Local
+84806,CLAREMORE INDIAN HOSPITAL,101 SOUTH MOORE AVE,CLAREMORE,OK,74017,ROGERS,(918) 341-8430,Acute Care Hospitals,Tribal
+67131,ASCENSION SACRED HEART HOSPITAL,401 W MOHAWK DR  SUITE 100,TOMAHAWK,WI,54487,LINCOLN,(715) 453-7700,Critical Access Hospitals,Voluntary non-profit - Church
+77125,SACRED HEART UNIVERSITY DISTRICT,1255 HILYARD STREET,EUGENE,OR,97401,LANE,(541) 686-7300,Acute Care Hospitals,Voluntary non-profit - Private
+39165,COMMUNITY BEHAVIORAL HOSPITAL FERGUS FALLS,1801 WEST ALCOTT,FERGUS FALLS,MN,56537,OTTER TAIL,(218) 332-5005,Psychiatric,Government - State
+78277,ROXBOROUGH MEMORIAL HOSPITAL,5800 RIDGE AVE,PHILADELPHIA,PA,19128,PHILADELPHIA,(215) 483-9900,Acute Care Hospitals,Proprietary
+72149,HACKENSACK MERIDIAN HEALTH CARRIER CLINIC,252 ROUTE 601,BELLE MEAD,NJ,8502,SOMERSET,(908) 281-1000,Psychiatric,Voluntary non-profit - Private
+14873,COOK HOSPITAL,10 SE FIFTH ST,COOK,MN,55723,ST. LOUIS,(218) 666-5945,Critical Access Hospitals,Government - Hospital District or Authority
+42476,REPUBLIC COUNTY HOSPITAL,2420 G STREET,BELLEVILLE,KS,66935,REPUBLIC,(785) 527-2254,Critical Access Hospitals,Voluntary non-profit - Private
+28739,JEFFERSON COMMUNITY HEALTH & LIFE,"P O BOX 277, 2200 H ST",FAIRBURY,NE,68352,JEFFERSON,(402) 729-3351,Critical Access Hospitals,Voluntary non-profit - Private
+11491,CORAL GABLES HOSPITAL,3100 DOUGLAS RD,CORAL GABLES,FL,33134,MIAMI-DADE,(305) 445-8461,Acute Care Hospitals,Proprietary
+50745,LOMPOC VALLEY MEDICAL CENTER,1515 E OCEAN AVENUE,LOMPOC,CA,93436,SANTA BARBARA,(805) 737-3300,Acute Care Hospitals,Government - Hospital District or Authority
+15731,GREENLEAF CENTER,2209 PINEVIEW DRIVE,VALDOSTA,GA,31602,LOWNDES,(229) 671-6601,Psychiatric,Proprietary
+24477,PURCELL MUNICIPAL HOSPITAL,1500 NORTH GREEN AVENUE,PURCELL,OK,73080,MCCLAIN,(405) 527-6524,Acute Care Hospitals,Government - Local
+73281,BATON ROUGE GENERAL MEDICAL CENTER,3600 FLORIDA BLVD,BATON ROUGE,LA,70806,E. BATON ROUGE,(225) 387-7767,Acute Care Hospitals,Voluntary non-profit - Private
+52202,THE HOSPITALS OF PROVIDENCE EAST CAMPUS,3280 JOE BATTLE BLVD,EL PASO,TX,79938,EL PASO,(915) 856-7349,Acute Care Hospitals,Proprietary
+90781,Brooke Army Medical Center  (FT Sam Houston),3551 Roger Brooke Drive,Fort Sam Houston,TX,78234,BEXAR,(210) 916-4141,Acute Care - Department of Defense,Department of Defense
+31755,PARK RIDGE HEALTH,100 HOSPITAL DRIVE,HENDERSONVILLE,NC,28792,HENDERSON,(828) 684-8501,Acute Care Hospitals,Voluntary non-profit - Private
+54610,Madigan AMC (FT Lewis),9040 Jackson Avenue,Tacoma,WA,98431,PIERCE,(253) 968-1110,Acute Care - Department of Defense,Department of Defense
+15356,OKEENE MUNICIPAL HOSPITAL,207 EAST F STREET,OKEENE,OK,73763,BLAINE,(580) 822-4417,Critical Access Hospitals,Government - Hospital District or Authority
+31530,ST FRANCIS REGIONAL MEDICAL CENTER,1455 ST FRANCIS AVENUE,SHAKOPEE,MN,55379,SCOTT,(952) 403-3000,Acute Care Hospitals,Voluntary non-profit - Church
+63561,MAYO CLINIC HLTH SYSTEM FRANCISCAN MED CTR,700 WEST AVENUE SOUTH,LA CROSSE,WI,54601,LA CROSSE,(608) 785-0940,Acute Care Hospitals,Voluntary non-profit - Private
+19416,FRANKLIN MEMORIAL HOSPITAL,111 FRANKLIN HEALTH COMMONS,FARMINGTON,ME,4938,FRANKLIN,(207) 778-6031,Acute Care Hospitals,Voluntary non-profit - Private
+33622,WHITE MOUNTAIN REGIONAL MEDICAL CENTER,118 SOUTH MOUNTAIN AVENUE,SPRINGERVILLE,AZ,85938,APACHE,(928) 333-4368,Critical Access Hospitals,Voluntary non-profit - Private
+20239,CARROLLTON SPRINGS,2225 PARKER ROAD,CARROLLTON,TX,75010,DENTON,(972) 242-4114,Psychiatric,Proprietary
+34132,COMMUNITY HOWARD REGIONAL HEALTH INC,3500 S LAFOUNTAIN ST,KOKOMO,IN,46902,HOWARD,(765) 776-8000,Acute Care Hospitals,Voluntary non-profit - Private
+34171,MEDICAL CITY NORTH HILLS,4401 BOOTH CALLOWAY ROAD,NORTH RICHLAND HILLS,TX,76180,TARRANT,(817) 255-1000,Acute Care Hospitals,Proprietary
+41291,CANDLER HOSPITAL,5353 REYNOLDS STREET,SAVANNAH,GA,31412,CHATHAM,(912) 819-6000,Acute Care Hospitals,Voluntary non-profit - Other
+43545,DONALSONVILLE HOSPITAL INC,102 HOSPITAL CIR,DONALSONVILLE,GA,39845,SEMINOLE,(229) 524-5217,Acute Care Hospitals,Voluntary non-profit - Private
+18299,INSPIRA MEDICAL CENTER VINELAND,1505 W SHERMAN AVE,VINELAND,NJ,8360,CUMBERLAND,(856) 641-8000,Acute Care Hospitals,Voluntary non-profit - Private
+45224,PROVIDENCE PORTLAND MEDICAL CENTER,4805 NE GLISAN STREET,PORTLAND,OR,97213,MULTNOMAH,(503) 215-1111,Acute Care Hospitals,Voluntary non-profit - Private
+75203,UNIVERSITY HOSPITAL AND MEDICAL CENTER,7201 N UNIVERSITY DR,TAMARAC,FL,33321,BROWARD,(954) 721-2200,Acute Care Hospitals,Proprietary
+75517,PERSHING MEMORIAL HOSPITAL,130 EAST LOCKLING,BROOKFIELD,MO,64628,LINN,(660) 258-2222,Critical Access Hospitals,Voluntary non-profit - Private
+32392,MERIT HEALTH BILOXI,150 REYNOIR STREET,BILOXI,MS,39530,HARRISON,(228) 436-1104,Acute Care Hospitals,Proprietary
+71318,"DUNCAN REGIONAL HOSPITAL, INC",1407 WHISENANT DRIVE,DUNCAN,OK,73533,STEPHENS,(580) 252-5300,Acute Care Hospitals,Voluntary non-profit - Private
+39753,MCLAREN PORT HURON,1221 PINE GROVE AVE,PORT HURON,MI,48060,ST. CLAIR,(810) 987-5000,Acute Care Hospitals,Voluntary non-profit - Private
+24510,LOS ANGELES COMMUNITY HOSPITAL,4081 E OLYMPIC BLVD,LOS ANGELES,CA,90023,LOS ANGELES,(323) 267-0477,Acute Care Hospitals,Proprietary
+19057,GOLETA VALLEY COTTAGE HOSPITAL,351 S PATTERSON AVE,SANTA BARBARA,CA,93111,SANTA BARBARA,(805) 681-6446,Acute Care Hospitals,Voluntary non-profit - Other
+36014,HOUSTON PHYSICIANS' HOSPITAL,333 N TEXAS AVENUE,WEBSTER,TX,77598,HARRIS,(281) 335-1700,Acute Care Hospitals,Physician
+22845,COMMUNITY MEMORIAL HOSPITAL,809 JACKSON  POST OFFICE BOX 319,BURKE,SD,57523,GREGORY,(605) 775-2621,Critical Access Hospitals,Voluntary non-profit - Private
+70905,BANNER THUNDERBIRD MEDICAL CENTER,5555 WEST THUNDERBIRD ROAD,GLENDALE,AZ,85306,MARICOPA,(602) 865-4470,Acute Care Hospitals,Government - Hospital District or Authority
+29996,SSM HEALTH ST MARY'S HOSPITAL - ST LOUIS,6420 CLAYTON RD,RICHMOND HEIGHTS,MO,63117,ST. LOUIS,(314) 768-8000,Acute Care Hospitals,Voluntary non-profit - Private
+36170,AURORA PSYCHIATRIC HOSPITAL,1220 DEWEY AVE,WAUWATOSA,WI,53213,MILWAUKEE,(414) 454-6600,Psychiatric,Voluntary non-profit - Private
+83226,PULASKI MEMORIAL HOSPITAL,616 E 13TH ST,WINAMAC,IN,46996,PULASKI,(574) 946-2100,Critical Access Hospitals,Voluntary non-profit - Other
+81269,CARO CENTER,"2000 CHAMBERS, BOX A",CARO,MI,48723,TUSCOLA,(989) 673-3191,Psychiatric,Government - State
+38170,KENTUCKY RIVER MEDICAL CENTER,540 JETT DRIVE,JACKSON,KY,41339,BREATHITT,(606) 666-6000,Acute Care Hospitals,Voluntary non-profit - Other
+58728,NANTICOKE MEMORIAL HOSPITAL,801 MIDDLEFORD RD,SEAFORD,DE,19973,SUSSEX,(302) 629-6611,Acute Care Hospitals,Voluntary non-profit - Private
+59114,MERCY HOSPITAL LEBANON,100 HOSPITAL DRIVE,LEBANON,MO,65536,LACLEDE,(417) 533-6100,Acute Care Hospitals,Voluntary non-profit - Church
+41185,BARTOW REGIONAL MEDICAL CENTER,2200 OSPREY BLVD,BARTOW,FL,33831,POLK,(863) 533-8111,Acute Care Hospitals,Proprietary
+90285,SUTTER MATERNITY & SURGERY CENTER OF SANTA CRUZ,2900 CHANTICLEER AVENUE,SANTA CRUZ,CA,95065,SANTA CRUZ,(831) 477-2200,Acute Care Hospitals,Voluntary non-profit - Private
+55637,CORNERSTONE BEHAVIORAL HEALTH HOSPITAL OF UNION CO,40 WATCHUNG WAY,BERKELEY HEIGHTS,NJ,7922,UNION,(908) 771-5857,Psychiatric,Voluntary non-profit - Other
+57396,SUMNER COUNTY HOSPITAL DISTRICT NO 1,601 SOUTH OSAGE STREET,CALDWELL,KS,67022,SUMNER,(620) 845-6492,Critical Access Hospitals,Government - Hospital District or Authority
+68558,BAYLOR SCOTT & WHITE MEDICAL CENTER  PFLUGERVILLE,2600 EAST  PFLUGERVILLE  PARKWAY,PFLUGERVILLE,TX,78660,TRAVIS,(512) 654-6100,Acute Care Hospitals,Voluntary non-profit - Private
+34256,MISSOURI DELTA MEDICAL CENTER,1008 NORTH MAIN ST,SIKESTON,MO,63801,SCOTT,(573) 471-1600,Acute Care Hospitals,Voluntary non-profit - Other
+35957,"DOCTORS' CENTER HOSPITAL, INC","MARGINAL CARRETERA NO 2, KM 47 7",MANATI,PR,674,MANATI,(787) 853-3322,Acute Care Hospitals,Proprietary
+44523,OHIOHEALTH O'BLENESS HOSPITAL,55 HOSPITAL DRIVE,ATHENS,OH,45701,ATHENS,(740) 593-5551,Acute Care Hospitals,Voluntary non-profit - Other
+22734,NAZARETH HOSPITAL,2601 HOLME AVE,PHILADELPHIA,PA,19152,PHILADELPHIA,(215) 335-6000,Acute Care Hospitals,Voluntary non-profit - Private
+80010,CHILDREN'S HOSPITAL & RESEARCH CENTER OAKLAND,747 52ND STREET,OAKLAND,CA,94609,ALAMEDA,(510) 428-3000,Childrens,Voluntary non-profit - Private
+86183,MOUNT SINAI MEDICAL CENTER,4300 ALTON RD,MIAMI BEACH,FL,33140,MIAMI-DADE,(305) 674-2121,Acute Care Hospitals,Voluntary non-profit - Private
+43751,TUALITY COMMUNITY HOSPITAL,335 SE 8TH AVENUE,HILLSBORO,OR,97123,WASHINGTON,(503) 681-1111,Acute Care Hospitals,Voluntary non-profit - Private
+93701,JENNIE STUART MEDICAL CENTER,320 WEST 18TH STREET,HOPKINSVILLE,KY,42240,CHRISTIAN,(270) 887-0100,Acute Care Hospitals,Voluntary non-profit - Private
+76276,SANFORD MEDICAL CENTER BISMARCK,300 N 7TH ST,BISMARCK,ND,58506,BURLEIGH,(701) 323-6000,Acute Care Hospitals,Voluntary non-profit - Private
+74788,ADVOCATE GOOD SAMARITAN HOSPITAL,3815 HIGHLAND AVENUE,DOWNERS GROVE,IL,60515,DU PAGE,(630) 275-5900,Acute Care Hospitals,Voluntary non-profit - Church
+65595,ALAMANCE REGIONAL MEDICAL CENTER,1240 HUFFMAN MILL RD,BURLINGTON,NC,27216,ALAMANCE,(336) 538-7000,Acute Care Hospitals,Voluntary non-profit - Private
+40345,ATRIUM HEALTH PINEVILLE,10628 PARK RD,CHARLOTTE,NC,28210,MECKLENBURG,(704) 379-5000,Acute Care Hospitals,Government - Hospital District or Authority
+50462,WESTON COUNTY HEALTH SERVICES,1124 WASHINGTON BOULEVARD,NEWCASTLE,WY,82701,WESTON,(307) 746-4491,Critical Access Hospitals,Government - Hospital District or Authority
+90315,CHI HEALTH GOOD SAMARITAN,"P O BOX 1990, 10 EAST 31ST ST",KEARNEY,NE,68848,BUFFALO,(308) 865-7100,Acute Care Hospitals,Voluntary non-profit - Church
+72634,TRISTAR SOUTHERN HILLS MEDICAL CENTER,391 WALLACE RD,NASHVILLE,TN,37211,DAVIDSON,(615) 781-4000,Acute Care Hospitals,Proprietary
+53868,WESTFIELDS HOSPITAL AND CLINIC,535 HOSPITAL RD,NEW RICHMOND,WI,54017,ST. CROIX,(715) 243-2600,Critical Access Hospitals,Voluntary non-profit - Private
+90201,SENTARA NORFOLK GENERAL HOSPITAL,600 GRESHAM DR,NORFOLK,VA,23507,NORFOLK CITY,(757) 388-3000,Acute Care Hospitals,Voluntary non-profit - Other
+78656,UTAH VALLEY HOSPITAL,1034 NORTH 500 WEST,PROVO,UT,84604,UTAH,(801) 373-7850,Acute Care Hospitals,Voluntary non-profit - Private
+38357,MEDSTAR UNION MEMORIAL HOSPITAL,201 EAST UNIVERSITY PARKWAY,BALTIMORE,MD,21218,BALTIMORE CITY,(410) 554-2227,Acute Care Hospitals,Voluntary non-profit - Other
+32887,SPARROW CLINTON HOSPITAL,805 S OAKLAND,SAINT JOHNS,MI,48879,CLINTON,(989) 224-6881,Critical Access Hospitals,Proprietary
+12591,UNIVERSITY HOSPITALS CONNEAUT MEDICAL CENTER,158 WEST MAIN ROAD,CONNEAUT,OH,44030,ASHTABULA,(440) 593-1131,Critical Access Hospitals,Voluntary non-profit - Other
+83662,EAST GEORGIA REGIONAL MEDICAL CENTER,1499 FAIR ROAD,STATESBORO,GA,30458,BULLOCH,(912) 486-1500,Acute Care Hospitals,Proprietary
+62574,MEMORIAL HOSPITAL AND HEALTH CARE CENTER,800 W 9TH ST,JASPER,IN,47546,DUBOIS,(812) 996-2345,Acute Care Hospitals,Voluntary non-profit - Church
+17284,PARKER INDIAN HEALTH CENTER,12033 AGENCY ROAD,PARKER,AZ,85344,LAPAZ,(928) 669-2137,Critical Access Hospitals,Government - Federal
+64068,USMD HOSPITAL AT ARLINGTON L P,801 W INTERSTATE 20,ARLINGTON,TX,76017,TARRANT,(817) 472-3400,Acute Care Hospitals,Physician
+45164,HUNTSVILLE HOSPITAL,101 SIVLEY RD,HUNTSVILLE,AL,35801,MADISON,(256) 265-1000,Acute Care Hospitals,Government - Hospital District or Authority
+19510,CROSSING RIVERS HEALTH MEDICAL CENTER,37868 US HWY 18,PRAIRIE DU CHIEN,WI,53821,CRAWFORD,(608) 357-2000,Critical Access Hospitals,Voluntary non-profit - Private
+40727,Winn ACH (FT Stewart),1061 Harmon Avenue,Fort Stewart,GA,31314,LIBERTY,(912) 435-6633,Acute Care - Department of Defense,Department of Defense
+66293,TIDELANDS WACCAMAW COMMUNITY HOSPITAL,4070 HIGHWAY 17 BYPASS PO DRAWER 3350,MURRELLS INLET,SC,29576,HORRY,(843) 652-1000,Acute Care Hospitals,Voluntary non-profit - Private
+18026,BEAR LAKE MEMORIAL HOSPITAL,164 SOUTH FIFTH STREET,MONTPELIER,ID,83254,BEAR LAKE,(208) 847-1630,Critical Access Hospitals,Government - Local
+43037,TRUSTPOINT HOSPITAL,1009 NORTH THOMPSON LANE,MURFREESBORO,TN,37129,RUTHERFORD,(615) 867-1111,Acute Care Hospitals,Proprietary
+30503,UNION GENERAL HOSPITAL,901 JAMES AVE,FARMERVILLE,LA,71241,UNION,(318) 368-9751,Critical Access Hospitals,Voluntary non-profit - Private
+81543,BELLIN MEMORIAL HOSPITAL,744 S WEBSTER AVE,GREEN BAY,WI,54305,BROWN,(920) 433-3500,Acute Care Hospitals,Voluntary non-profit - Private
+47834,NEW ULM MEDICAL CENTER,1324 FIFTH NORTH STREET,NEW ULM,MN,56073,BROWN,(507) 217-5000,Critical Access Hospitals,Voluntary non-profit - Private
+44556,GATEWAY REGIONAL MEDICAL CENTER,2100 MADISON AVENUE,GRANITE CITY,IL,62040,MADISON,(618) 798-3000,Acute Care Hospitals,Voluntary non-profit - Other
+64450,SHENANDOAH MEDICAL CENTER,300 PERSHING AVENUE,SHENANDOAH,IA,51601,PAGE,(712) 246-1230,Critical Access Hospitals,Voluntary non-profit - Private
+20974,NATIVIDAD MEDICAL CENTER,1441 CONSTITUTION BOULEVARD,SALINAS,CA,93906,MONTEREY,(831) 755-4195,Acute Care Hospitals,Government - Hospital District or Authority
+30392,ADVENTHEALTH NORTH PINELLAS,1395 S PINELLAS AVE,TARPON SPRINGS,FL,34689,PINELLAS,(727) 942-5000,Acute Care Hospitals,Voluntary non-profit - Other
+82407,BAPTIST HEALTH RICHMOND,801 EASTERN BYPASS,RICHMOND,KY,40475,MADISON,(859) 623-3131,Acute Care Hospitals,Voluntary non-profit - Private
+68447,BEAUFORT COUNTY MEMORIAL HOSPITAL,955 RIBAUT RD,BEAUFORT,SC,29902,BEAUFORT,(843) 522-5200,Acute Care Hospitals,Government - Local
+50457,"ASPIRUS MEDFORD HOSPITAL & CLINICS, INC",135 S GIBSON ST,MEDFORD,WI,54451,TAYLOR,(715) 748-8100,Critical Access Hospitals,Voluntary non-profit - Private
+36776,W J MANGOLD MEMORIAL HOSPITAL,320 NORTH MAIN,LOCKNEY,TX,79241,FLOYD,(806) 652-3373,Critical Access Hospitals,Government - Hospital District or Authority
+88469,STE GENEVIEVE COUNTY MEMORIAL HOSPITAL,"800 STE GENEVIEVE DRIVE, PO BOX 468",SAINTE GENEVIEVE,MO,63670,STE. GENEVIEVE,(573) 883-2751,Critical Access Hospitals,Government - Local
+51683,HANCOCK REGIONAL HOSPITAL,801 N STATE ST,GREENFIELD,IN,46140,HANCOCK,(317) 462-5544,Acute Care Hospitals,Government - Local
+81308,D C H REGIONAL MEDICAL CENTER,809 UNIVERSITY BOULEVARD EAST,TUSCALOOSA,AL,35401,TUSCALOOSA,(205) 759-7111,Acute Care Hospitals,Government - Hospital District or Authority
+68899,IOWA LUTHERAN HOSPITAL,700 EAST UNIVERSITY AVENUE,DES MOINES,IA,50316,POLK,(515) 263-5612,Acute Care Hospitals,Voluntary non-profit - Private
+94904,HOUSTON METHODIST HOSPITAL,6565 FANNIN,HOUSTON,TX,77030,HARRIS,(713) 790-2221,Acute Care Hospitals,Voluntary non-profit - Private
+68308,ST LUCIE MEDICAL CENTER,1800 SE TIFFANY AVE,PORT SAINT LUCIE,FL,34952,ST. LUCIE,(772) 335-4000,Acute Care Hospitals,Proprietary
+26208,BEACON CHILDREN'S HOSPITAL,150 HOSPITAL DRIVE,LUVERNE,AL,36049,CRENSHAW,(334) 335-5040,Psychiatric,Proprietary
+92980,ASCENSION BRIGHTON CENTER FOR RECOVERY,12851 GRAND RIVER RD,BRIGHTON,MI,48116,LIVINGSTON,(810) 227-1211,Acute Care Hospitals,Voluntary non-profit - Private
+55560,MAMMOTH HOSPITAL,85 SIERRA PARK ROAD PO BOX 660,MAMMOTH LAKES,CA,93546,MONO,(760) 934-3311,Critical Access Hospitals,Government - Hospital District or Authority
+91736,BAYLOR SCOTT AND WHITE SURGICAL HOSPITAL FORTWORTH,1800 PARK PLACE AVENUE,FORT WORTH,TX,76110,TARRANT,(682) 703-5600,Acute Care Hospitals,Physician
+57232,RIVERSIDE WALTER REED HOSPITAL,7519 HOSPITAL ROAD,GLOUCESTER,VA,23061,GLOUCESTER,(804) 693-8800,Acute Care Hospitals,Voluntary non-profit - Private
+55043,RIVERSIDE MEDICAL CENTER,350 N WALL ST,KANKAKEE,IL,60901,KANKAKEE,(815) 933-1671,Acute Care Hospitals,Voluntary non-profit - Private
+15662,PUTNAM COUNTY HOSPITAL,1542 S BLOOMINGTON ST,GREENCASTLE,IN,46135,PUTNAM,(765) 301-7300,Critical Access Hospitals,Government - Local
+94203,ST LUKE'S HOSPITAL BETHLEHEM,801 OSTRUM STREET,BETHLEHEM,PA,18015,NORTHAMPTON,(610) 954-4000,Acute Care Hospitals,Voluntary non-profit - Private
+88800,FISHERMEN'S COMMUNITY HOSPITAL,3301 OVERSEAS HWY,MARATHON,FL,33050,MONROE,(305) 743-5533,Critical Access Hospitals,Voluntary non-profit - Private
+82917,MOUNT SINAI BETH ISRAEL,FIRST AVENUE AT 16TH STREET,NEW YORK,NY,10003,NEW YORK,(212) 420-2000,Acute Care Hospitals,Voluntary non-profit - Private
+82937,CHI ST VINCENT MORRILTON,#4 HOSPITAL DRIVE,MORRILTON,AR,72110,CONWAY,(501) 977-2300,Critical Access Hospitals,Voluntary non-profit - Church
+91172,SANFORD VERMILLION HOSPITAL,20 SOUTH PLUM STREET,VERMILLION,SD,57069,CLAY,(605) 677-3500,Critical Access Hospitals,Voluntary non-profit - Private
+45292,CENTENNIAL PEAKS HOSPITAL,2255 S 88TH ST,LOUISVILLE,CO,80027,BOULDER,(303) 673-9990,Psychiatric,Government - Hospital District or Authority
+61303,ADVENTHEALTH SHAWNEE MISSION,9100 W 74TH STREET,SHAWNEE MISSION,KS,66204,JOHNSON,(913) 676-2152,Acute Care Hospitals,Voluntary non-profit - Church
+10884,OSF SAINT PAUL MEDICAL CENTER,1401 E 12TH STREET,MENDOTA,IL,61342,LA SALLE,(815) 539-7461,Critical Access Hospitals,Voluntary non-profit - Private
+34045,BLUE MOUNTAIN HOSPITAL,802 SOUTH 200 WEST,BLANDING,UT,84511,SAN JUAN,(435) 678-3993,Critical Access Hospitals,Voluntary non-profit - Private
+24218,LECONTE MEDICAL CENTER,742 MIDDLECREEK ROAD,SEVIERVILLE,TN,37862,SEVIER,(865) 446-7500,Acute Care Hospitals,Voluntary non-profit - Other
+57866,ST JOSEPHS HOSPITAL,3001 W MARTIN LUTHER KING JR BLVD,TAMPA,FL,33677,HILLSBOROUGH,(813) 870-4398,Acute Care Hospitals,Voluntary non-profit - Church
+56850,CHILDREN'S SPECIALIZED HOSPITAL,200 SOMERSET STREET,NEW BRUNSWICK,NJ,8901,MIDDLESEX,(732) 258-7050,Childrens,Voluntary non-profit - Private
+45912,METHODIST HOSPITAL OF SOUTHERN CA,300 W HUNTINGTON DR,ARCADIA,CA,91006,LOS ANGELES,(626) 445-4441,Acute Care Hospitals,Voluntary non-profit - Private
+57220,MEMORIAL HOSPITAL AND MANOR,1500 E SHOTWELL STREET,BAINBRIDGE,GA,39819,DECATUR,(229) 246-3500,Acute Care Hospitals,Government - Hospital District or Authority
+59040,LAWRENCE COUNTY HOSPITAL CAH,1065 EAST BROAD ST / PO BOX 788,MONTICELLO,MS,39654,LAWRENCE,(601) 587-4051,Critical Access Hospitals,Government - Local
+73246,"COMMUNITY MEDICAL CENTER, INC","P O BOX 399, 3307 BARADA ST",FALLS CITY,NE,68355,RICHARDSON,(402) 245-2428,Critical Access Hospitals,Voluntary non-profit - Private
+35861,SAN GORGONIO MEMORIAL HOSPITAL,600 NORTH HIGHLAND SPRINGS AVENUE,BANNING,CA,92220,RIVERSIDE,(951) 845-1121,Acute Care Hospitals,Government - Hospital District or Authority
+83654,HEART OF TEXAS MEMORIAL HOSPITAL,2008 NINE ROAD,BRADY,TX,76825,MC CULLOCH,(325) 597-2901,Critical Access Hospitals,Voluntary non-profit - Private
+49978,MCKENZIE COUNTY HEALTHCARE SYSTEMS INC,709 4TH AVE NE,WATFORD CITY,ND,58854,MCKENZIE,(701) 842-3000,Critical Access Hospitals,Voluntary non-profit - Private
+75348,BLYTHEDALE CHILDREN'S HOSPITAL,95 BRADHURST AVENUE,VALHALLA,NY,10595,WESTCHESTER,(914) 592-7555,Childrens,Voluntary non-profit - Private
+89643,VALLEY REGIONAL MEDICAL CENTER,100 A ALTON GLOOR,BROWNSVILLE,TX,78526,CAMERON,(956) 350-7000,Acute Care Hospitals,Proprietary
+33827,PALMERTON HOSPITAL,135 LAFAYETTE AVENUE,PALMERTON,PA,18071,CARBON,(610) 826-3141,Acute Care Hospitals,Voluntary non-profit - Other
+60256,DEFIANCE REGIONAL MEDICAL CENTER,1200 RALSTON AVENUE,DEFIANCE,OH,43512,DEFIANCE,(419) 783-6955,Critical Access Hospitals,Voluntary non-profit - Private
+60769,MORGAN COUNTY ARH HOSPITAL,476 LIBERTY ROAD,WEST LIBERTY,KY,41472,MORGAN,(606) 743-3186,Critical Access Hospitals,Voluntary non-profit - Private
+70883,ABRAZO SCOTTSDALE CAMPUS,3929 EAST BELL ROAD,PHOENIX,AZ,85032,MARICOPA,(602) 923-5000,Acute Care Hospitals,Proprietary
+47065,MARGARET MARY HEALTH,321 MITCHELL AVE,BATESVILLE,IN,47006,FRANKLIN,(812) 934-6624,Critical Access Hospitals,Voluntary non-profit - Private
+47733,SOUTHWESTERN MEDICAL CENTER,5602 SOUTHWEST LEE BOULEVARD,LAWTON,OK,73505,COMANCHE,(580) 531-4700,Acute Care Hospitals,Proprietary
+44180,RHEA MEDICAL CENTER,9400 RHEA COUNTY HIGHWAY,DAYTON,TN,37321,RHEA,(423) 775-1121,Critical Access Hospitals,Government - Local
+49185,MONADNOCK COMMUNITY HOSPITAL,452 OLD STREET ROAD,PETERBOROUGH,NH,3458,HILLSBOROUGH,(603) 924-7191,Critical Access Hospitals,Proprietary
+65398,MAYO CLINIC HEALTH SYSTEM-CANNON FALLS,32021 COUNTY 24 BOULEVARD,CANNON FALLS,MN,55009,GOODHUE,(507) 263-6000,Critical Access Hospitals,Voluntary non-profit - Private
+51555,NEWPORT HOSPITAL,11 FRIENDSHIP STREET,NEWPORT,RI,2840,NEWPORT,(401) 846-6400,Acute Care Hospitals,Voluntary non-profit - Private
+86903,THE PAVILION AT WILLIAMSBURG PLACE,5483 MOORETOWN ROAD,WILLIAMSBURG,VA,23188,JAMES CITY,(757) 941-6400,Psychiatric,Proprietary
+22738,BARNES-JEWISH ST PETERS HOSPITAL,10 HOSPITAL DR,SAINT PETERS,MO,63376,ST. CHARLES,(636) 916-9000,Acute Care Hospitals,Voluntary non-profit - Other
+71664,FORREST CITY MEDICAL CENTER,1601 NEWCASTLE ROAD,FORREST CITY,AR,72335,ST. FRANCIS,(870) 261-0000,Acute Care Hospitals,Proprietary
+78679,CONEMAUGH MEMORIAL MEDICAL CENTER,1086 FRANKLIN STREET,JOHNSTOWN,PA,15905,CAMBRIA,(814) 534-9000,Acute Care Hospitals,Proprietary
+85577,"JOHNS HOPKINS HOSPITAL, THE",600 NORTH  WOLFE STREET,BALTIMORE,MD,21287,BALTIMORE CITY,(410) 955-9540,Acute Care Hospitals,Voluntary non-profit - Private
+86262,EAST CARROLL PARISH HOSPITAL,336 NORTH HOOD STREET,LAKE PROVIDENCE,LA,71254,EAST CARROLL,(318) 559-4023,Acute Care Hospitals,Government - Hospital District or Authority
+75976,REAGAN MEMORIAL HOSPITAL,1300 N MAIN AVENUE,BIG LAKE,TX,76932,REAGAN,(325) 844-2561,Critical Access Hospitals,Government - Hospital District or Authority
+29364,GRUNDY COUNTY MEMORIAL HOSPITAL,201 EAST J AVENUE,GRUNDY CENTER,IA,50638,GRUNDY,(319) 824-5421,Critical Access Hospitals,Voluntary non-profit - Other
+16766,OHSU HOSPITAL AND CLINICS,3181 SW SAM JACKSON PARK ROAD,PORTLAND,OR,97239,MULTNOMAH,(503) 494-6245,Acute Care Hospitals,Voluntary non-profit - Other
+21894,INTEGRIS BASS BAPTIST HEALTH CENTER,600 SOUTH MONROE,ENID,OK,73701,GARFIELD,(580) 233-2300,Acute Care Hospitals,Voluntary non-profit - Private
+39473,AVERA DELLS AREA HOSPITAL  - CAH,909 N IOWA AVE,DELL RAPIDS,SD,57022,MINNEHAHA,(605) 428-5431,Critical Access Hospitals,Voluntary non-profit - Private
+42568,PIGGOTT COMMUNITY HOSPITAL,216 EAST MAIN STREET,PIGGOTT,AR,72454,CLAY,(870) 598-3881,Critical Access Hospitals,Government - Local
+26102,GRISELL MEMORIAL HOSPITAL,210 SOUTH VERMONT AVENUE,RANSOM,KS,67572,NESS,(785) 731-2231,Critical Access Hospitals,Government - Hospital District or Authority
+24289,ROLLING HILLS PSYCHIATRIC HOSPITAL,2014 QUAIL HOLLOW CIRCLE,FRANKLIN,TN,37067,WILLIAMSON,(615) 226-4930,Psychiatric,Voluntary non-profit - Private
+19124,SCRIPPS MEMORIAL HOSPITAL LA JOLLA,9888 GENESEE AVENUE,LA JOLLA,CA,92037,SAN DIEGO,(858) 626-4123,Acute Care Hospitals,Physician
+91537,HILLSDALE HOSPITAL,168 S HOWELL STREET,HILLSDALE,MI,49242,HILLSDALE,(517) 437-4451,Acute Care Hospitals,Voluntary non-profit - Private
+36071,WILSON MEDICAL CENTER,REECE CAMPUS 2600 OTTAWA ROAD,NEODESHA,KS,66757,WILSON,(620) 325-2611,Critical Access Hospitals,Government - Local
+20050,CHI ST LUKE'S HEALTH BAYLOR COLLEGE OF MEDICINE ME,"7200 CAMBRIDGE, 11TH FLOOR",HOUSTON,TX,77030,HARRIS,(832) 355-1000,Acute Care Hospitals,Voluntary non-profit - Church
+14749,KING'S DAUGHTERS' HEALTH,1373 EAST SR 62,MADISON,IN,47250,JEFFERSON,(812) 801-0105,Acute Care Hospitals,Voluntary non-profit - Private
+23892,BULLOCK COUNTY HOSPITAL,102 WEST CONECUH AVENUE,UNION SPRINGS,AL,36089,BULLOCK,(334) 738-2140,Acute Care Hospitals,Proprietary
+50721,SPRING MOUNTAIN TREATMENT CENTER,7000 WEST SPRING MOUNTAIN ROAD,LAS VEGAS,NV,89117,CLARK,(702) 873-2400,Psychiatric,Proprietary
+22252,ROCK PRAIRIE BEHAVIORAL HEALTH,3550 NORMAND DRIVE,COLLEGE STATION,TX,77845,BRAZOS,(979) 703-8848,Psychiatric,Proprietary
+72454,OROVILLE HOSPITAL,2767 OLIVE HIGHWAY,OROVILLE,CA,95966,BUTTE,(530) 533-8500,Acute Care Hospitals,Voluntary non-profit - Private
+13910,RALEIGH GENERAL HOSPITAL,1710 HARPER ROAD,BECKLEY,WV,25801,RALEIGH,(304) 256-4100,Acute Care Hospitals,Proprietary
+82703,PRESENCE SAINT JOSEPH HOSPITAL - CHICAGO,2900 NORTH LAKE SHORE DRIVE,CHICAGO,IL,60657,COOK,(773) 665-3000,Acute Care Hospitals,Voluntary non-profit - Church
+37461,LAFAYETTE GENERAL MEDICAL CENTER,1214 COOLIDGE AVENUE,LAFAYETTE,LA,70503,LAFAYETTE,(337) 289-7991,Acute Care Hospitals,Voluntary non-profit - Private
+29601,AURELIA OSBORN FOX MEMORIAL HOSPITAL,ONE NORTON AVENUE,ONEONTA,NY,13820,OTSEGO,(607) 432-2000,Acute Care Hospitals,Voluntary non-profit - Private
+80396,OAK HILLS BEHAVIORAL CENTER,49 OLD HICKORY BLVD,JACKSON,TN,38305,MADISON,(731) 668-7073,Psychiatric,Proprietary
+73395,HAMPSHIRE MEMORIAL HOSPITAL,363 SUNRISE BOULEVARD,ROMNEY,WV,26757,HAMPSHIRE,(304) 822-4561,Critical Access Hospitals,Voluntary non-profit - Private
+32926,HENDRICK MEDICAL CENTER,1900 PINE,ABILENE,TX,79601,TAYLOR,(325) 670-2000,Acute Care Hospitals,Voluntary non-profit - Private
+43261,CEDAR CITY HOSPITAL,1303 NORTH MAIN STREET,CEDAR CITY,UT,84721,IRON,(435) 868-5800,Acute Care Hospitals,Voluntary non-profit - Private
+13825,ST DAVID'S MEDICAL CENTER,919 E 32ND ST,AUSTIN,TX,78705,TRAVIS,(512) 476-7111,Acute Care Hospitals,Proprietary
+45078,COLUMBIA BASIN HOSPITAL,200 NAT WASHINGTON WAY,EPHRATA,WA,98823,GRANT,(509) 754-4631,Critical Access Hospitals,Government - Hospital District or Authority
+19423,SOUTHEASTERN OHIO REGIONAL MEDICAL CENTER,1341 NORTH CLARK STREET,CAMBRIDGE,OH,43725,GUERNSEY,(740) 439-8000,Acute Care Hospitals,Voluntary non-profit - Private
+51280,AULTMAN HOSPITAL,2600 SIXTH STREET SW,CANTON,OH,44710,STARK,(330) 363-6352,Acute Care Hospitals,Voluntary non-profit - Other
+63496,JACK HUGHSTON MEMORIAL HOSPITAL,4401 RIVER CHASE DRIVE,PHENIX CITY,AL,36867,RUSSELL,(334) 732-3000,Acute Care Hospitals,Government - State
+11893,BAYLOR UNIVERSITY MEDICAL CENTER,3500 GASTON AVE,DALLAS,TX,75246,DALLAS,(214) 820-0111,Acute Care Hospitals,Voluntary non-profit - Church
+89569,"PINEVILLE COMMUNITY HEALTH CENTER, INC",850 RIVERVIEW AVENUE,PINEVILLE,KY,40977,BELL,(606) 337-3051,Acute Care Hospitals,Voluntary non-profit - Private
+55060,WICHITA COUNTY HEALTH CENTER,211 E EARL STREET,LEOTI,KS,67861,WICHITA,(620) 375-2233,Critical Access Hospitals,Government - Local
+61626,ROUNDUP MEMORIAL HEALTHCARE,1202 3RD ST W,ROUNDUP,MT,59072,MUSSELSHELL,(406) 323-2301,Critical Access Hospitals,Government - Hospital District or Authority
+80518,METROPOLITAN HOSPITAL CENTER,1901 FIRST AVENUE,NEW YORK,NY,10029,NEW YORK,(212) 423-6262,Acute Care Hospitals,Government - Local
+93075,BLUEFIELD REGIONAL MEDICAL CENTER,500 CHERRY ST,BLUEFIELD,WV,24701,MERCER,(304) 327-1100,Acute Care Hospitals,Proprietary
+89889,METHODIST HEALTHCARE MEMPHIS HOSPITALS,1265 UNION AVE SUITE 700,MEMPHIS,TN,38104,SHELBY,(901) 516-8274,Acute Care Hospitals,Voluntary non-profit - Church
+12229,UT HEALTH EAST TEXAS HENDERSON HOSPITAL,300 WILSON STREET,HENDERSON,TX,75652,RUSK,(903) 657-7541,Acute Care Hospitals,Voluntary non-profit - Private
+10124,DECKERVILLE COMMUNITY HOSPITAL,3559 PINE ST,DECKERVILLE,MI,48427,SANILAC,(810) 376-2835,Critical Access Hospitals,Voluntary non-profit - Private
+21436,PROVIDENCE SEASIDE HOSPITAL,725 S WAHANNA ROAD,SEASIDE,OR,97138,CLATSOP,(503) 717-7000,Critical Access Hospitals,Voluntary non-profit - Church
+93118,AVERA MARSHALL REGIONAL MEDICAL CTR,300 SOUTH BRUCE STREET,MARSHALL,MN,56258,LYON,(507) 532-9661,Critical Access Hospitals,Voluntary non-profit - Private
+85687,"SOUTHWELL MEDICAL, A CAMPUS OF TRMC",260 MJ TAYLOR ROAD,ADEL,GA,31620,COOK,(229) 896-8077,Acute Care Hospitals,Proprietary
+78126,BAPTIST HEALTH MEDICAL CENTER-CONWAY,1555 EXCHANGE AVENUE,CONWAY,AR,72032,FAULKNER,(501) 585-2000,Acute Care Hospitals,Voluntary non-profit - Private
+14317,GROVE CREEK MEDICAL CENTER,350 NORTH MERIDIAN STREET,BLACKFOOT,ID,83221,BINGHAM,(208) 782-2900,Acute Care Hospitals,Voluntary non-profit - Private
+81386,HANS P PETERSON MEMORIAL HOSPITAL - CAH,503 W PINE  POST OFFICE BOX 790,PHILIP,SD,57567,HAAKON,(605) 859-2511,Critical Access Hospitals,Voluntary non-profit - Private
+93257,SWEDISH MEDICAL CENTER / CHERRY HILL,500 17TH AVENUE,SEATTLE,WA,98122,KING,(206) 320-2000,Acute Care Hospitals,Voluntary non-profit - Church
+34656,HOSPITAL FOR SPECIAL SURGERY,535 EAST 70TH STREET,NEW YORK,NY,10021,NEW YORK,(212) 606-1000,Acute Care Hospitals,Voluntary non-profit - Private
+89954,ABINGTON MEMORIAL HOSPITAL,1200 OLD YORK ROAD,ABINGTON,PA,19001,MONTGOMERY,(215) 481-2000,Acute Care Hospitals,Voluntary non-profit - Private
+10321,UNIVERSITY HOSPITAL S U N Y HEALTH SCIENCE CENTER,750 EAST ADAMS STREET,SYRACUSE,NY,13210,ONONDAGA,(315) 473-4240,Acute Care Hospitals,Government - State
+43031,MITCHELL COUNTY HOSPITAL DISTRICT,997 WEST I-20,COLORADO CITY,TX,79512,MITCHELL,(325) 728-3431,Critical Access Hospitals,Government - Hospital District or Authority
+63945,SMITH COUNTY MEMORIAL HOSPITAL,921 E. HIGHWAY 36,SMITH CENTER,KS,66967,SMITH,(785) 282-6845,Critical Access Hospitals,Government - Local
+53304,KINGWOOD PINES HOSPITAL,2001 LADBROOK,KINGWOOD,TX,77339,HARRIS,(281) 358-1495,Psychiatric,Proprietary
+10900,ST VINCENT'S BIRMINGHAM,810 ST VINCENT'S DRIVE,BIRMINGHAM,AL,35205,JEFFERSON,(205) 939-7000,Acute Care Hospitals,Voluntary non-profit - Private
+41202,CLARK FORK VALLEY HOSPITAL,10 KRUGER RD,PLAINS,MT,59859,SANDERS,(406) 826-4800,Critical Access Hospitals,Voluntary non-profit - Private
+44697,MEDICAL CITY LAS COLINAS,6800 N MACARTHUR BLVD,IRVING,TX,75039,DALLAS,(972) 969-2000,Acute Care Hospitals,Proprietary
+94411,PAMPA REGIONAL MEDICAL CENTER,1 MEDICAL PLAZA,PAMPA,TX,79065,GRAY,(806) 665-3721,Acute Care Hospitals,Voluntary non-profit - Private
+27907,DISTRICT ONE HOSPITAL,200 STATE AVENUE,FARIBAULT,MN,55021,RICE,(507) 334-6451,Acute Care Hospitals,Voluntary non-profit - Private
+17298,WOMANS HOSPITAL,100 WOMAN'S WAY,BATON ROUGE,LA,70817,E. BATON ROUGE,(225) 927-1300,Acute Care Hospitals,Voluntary non-profit - Private
+68851,UMD SHORE MEDICAL CENTER AT EASTON,219 SOUTH  WASHINGTON STREET,EASTON,MD,21601,TALBOT,(410) 822-1000,Acute Care Hospitals,Voluntary non-profit - Private
+52663,BEVERLY HOSPITAL CORPORATION,85 HERRICK STREET,BEVERLY,MA,1915,ESSEX,(978) 922-3000,Acute Care Hospitals,Voluntary non-profit - Private
+77788,CORNERSTONE BEHAVIORAL HEALTH EL DORADO,1400 NORTH WILMOT ROAD,TUCSON,AZ,85712,PIMA,(520) 222-8268,Psychiatric,Proprietary
+50560,PROVIDENCE HEALTH CENTER,6901 MEDICAL PARKWAY,WACO,TX,76712,MC LENNAN,(254) 751-4000,Acute Care Hospitals,Voluntary non-profit - Private
+61936,MEMORIAL HOSPITAL OF SOUTH BEND,615 N MICHIGAN ST,SOUTH BEND,IN,46601,ST. JOSEPH,(574) 647-1000,Acute Care Hospitals,Voluntary non-profit - Private
+54940,UNIVERSITY MEDICAL CENTER,1800 W CHARLESTON BLVD,LAS VEGAS,NV,89102,CLARK,(702) 383-2000,Acute Care Hospitals,Government - Local
+27523,TMC- BONHAM HOSPITAL,504 LIPSCOMB STREET,BONHAM,TX,75418,FANNIN,(903) 640-7311,Critical Access Hospitals,Government - Hospital District or Authority
+57413,ALLENDALE COUNTY HOSPITAL,1787 ALLENDALE FAIRFAX RD,FAIRFAX,SC,29827,ALLENDALE,(803) 632-3311,Critical Access Hospitals,Government - Local
+86558,MASSACHUSETTS EYE AND EAR INFIRMARY -,243 CHARLES STREET,BOSTON,MA,2114,SUFFOLK,(617) 523-7900,Acute Care Hospitals,Voluntary non-profit - Private
+91174,OLYMPIC MEDICAL CENTER,939 CAROLINE ST,PORT ANGELES,WA,98362,CLALLAM,(360) 417-7000,Acute Care Hospitals,Government - Local
+59708,HARDIN COUNTY GENERAL HOSPITAL,FERRELL ROAD,ROSICLARE,IL,62982,HARDIN,(618) 285-6634,Critical Access Hospitals,Voluntary non-profit - Private
+33637,CROOK COUNTY HOSPITAL,713 OAK STREET,SUNDANCE,WY,82729,CROOK,(307) 283-3501,Critical Access Hospitals,Government - Hospital District or Authority
+77133,KAISER FOUNDATION HOSPITAL - SOUTH BAY,25825 SOUTH VERMONT AVENUE,HARBOR CITY,CA,90710,LOS ANGELES,(310) 325-5111,Acute Care Hospitals,Voluntary non-profit - Other
+66938,DOCTORS HOSPITAL OF SARASOTA,5731 BEE RIDGE RD,SARASOTA,FL,34233,SARASOTA,(941) 342-1100,Acute Care Hospitals,Proprietary
+19150,MOHAWK VALLEY PSYCHIATRIC CENTER,1400 NOYES ST,UTICA,NY,13502,ONEIDA,(315) 797-6800,Psychiatric,Government - Local
+40140,MAGEE GENERAL HOSPITAL,300 3RD AVE SE,MAGEE,MS,39111,SIMPSON,(601) 849-5070,Acute Care Hospitals,Government - Local
+74335,THE MEDICAL CENTER AT SCOTTSVILLE,456 BURNLEY ROAD,SCOTTSVILLE,KY,42164,ALLEN,(270) 622-2800,Critical Access Hospitals,Voluntary non-profit - Private
+42999,WEST HILLS HOSPITAL & MEDICAL CENTER,7300 MEDICAL CENTER DR,WEST HILLS,CA,91307,LOS ANGELES,(818) 676-4100,Acute Care Hospitals,Proprietary
+63645,ARIZONA SPINE AND JOINT HOSPITAL,4620 EAST BASELINE ROAD,MESA,AZ,85206,MARICOPA,(480) 832-4770,Acute Care Hospitals,Physician
+50408,UNITED REGIONAL HEALTH CARE SYSTEM,1600 11TH STREET,WICHITA FALLS,TX,76301,WICHITA,(940) 764-3055,Acute Care Hospitals,Voluntary non-profit - Private
+73295,ST VINCENT KOKOMO,1907 W SYCAMORE ST,KOKOMO,IN,46904,HOWARD,(765) 452-5611,Acute Care Hospitals,Voluntary non-profit - Church
+10132,WOOD COUNTY HOSPITAL,950 WEST WOOSTER STREET,BOWLING GREEN,OH,43402,WOOD,(419) 354-8900,Acute Care Hospitals,Voluntary non-profit - Private
+51186,PENDER MEMORIAL HOSPITAL,507 E FREMONT ST,BURGAW,NC,28425,PENDER,(910) 300-4004,Critical Access Hospitals,Government - Local
+47069,THE CARLE FOUNDATION HOSPITAL,611 WEST PARK STREET,URBANA,IL,61801,CHAMPAIGN,(217) 383-3311,Acute Care Hospitals,Voluntary non-profit - Private
+22023,MT SAN RAFAEL HOSPITAL,410 BENEDICTA AVE,TRINIDAD,CO,81082,LAS ANIMAS,(719) 846-9213,Critical Access Hospitals,Voluntary non-profit - Private
+79881,MADISON COUNTY HEALTH CARE SYSTEM,300 WEST HUTCHINGS STREET,WINTERSET,IA,50273,MADISON,(515) 462-2373,Critical Access Hospitals,Government - Local
+19346,BENEFIS HOSPITALS INC,1101 26TH ST S,GREAT FALLS,MT,59405,CASCADE,(406) 455-5000,Acute Care Hospitals,Voluntary non-profit - Private
+47789,BAPTIST MEMORIAL HOSPITAL TIPTON,1995 HIGHWAY 51 S,COVINGTON,TN,38019,TIPTON,(901) 476-2621,Acute Care Hospitals,Voluntary non-profit - Church
+65265,ST CHARLES MADRAS,470 NE A STREET,MADRAS,OR,97741,JEFFERSON,(541) 475-3882,Critical Access Hospitals,Voluntary non-profit - Private
+68229,WAYNESBORO HOSPITAL,501 EAST MAIN ST,WAYNESBORO,PA,17268,FRANKLIN,(717) 765-4000,Acute Care Hospitals,Voluntary non-profit - Private
+38370,SPECTRUM HEALTH BIG RAPIDS HOSPITAL,605 OAK STREET,BIG RAPIDS,MI,49307,MECOSTA,(231) 796-8691,Acute Care Hospitals,Government - Local
+77634,TEXAS HEALTH PRESBYTERIAN HOSPITAL PLANO,6200 W PARKER RD,PLANO,TX,75093,COLLIN,(972) 981-8000,Acute Care Hospitals,Voluntary non-profit - Private
+65763,CASS COUNTY MEMORIAL HOSPITAL,1501 EAST TENTH STREET,ATLANTIC,IA,50022,CASS,(712) 243-3250,Critical Access Hospitals,Government - Local
+45378,MONROE SURGICAL HOSPITAL,2408 BROADMOOR BLVD,MONROE,LA,71201,OUACHITA,(318) 410-0002,Acute Care Hospitals,Physician
+21715,JACOBI MEDICAL CENTER,1400 PELHAM PARKWAY SOUTH,BRONX,NY,10461,BRONX,(718) 918-5000,Acute Care Hospitals,Government - Local
+73923,GREENWICH HOSPITAL ASSOCIATION -,5 PERRYRIDGE RD,GREENWICH,CT,6830,FAIRFIELD,(203) 863-3000,Acute Care Hospitals,Voluntary non-profit - Private
+72605,MCLEOD REGIONAL MEDICAL CENTER-PEE DEE,555 E CHEVES ST BOX 8700,FLORENCE,SC,29506,FLORENCE,(843) 777-2900,Acute Care Hospitals,Voluntary non-profit - Other
+44689,UPMC ALTOONA,620 HOWARD AVENUE,ALTOONA,PA,16601,BLAIR,(814) 889-2011,Acute Care Hospitals,Voluntary non-profit - Private
+26011,NMC Portsmouth,620 John Paul Jones Circle,Portsmouth,VA,23708,PORTSMOUTH CITY,(757) 953-5008,Acute Care - Department of Defense,Department of Defense
+61114,MIDLAND MEMORIAL HOSPITAL,400 ROSALIND REDFERN GROVER PARKWAY,MIDLAND,TX,79701,MIDLAND,(432) 685-1111,Acute Care Hospitals,Government - Local
+88193,MINNIE HAMILTON HEALTH SYSTEM,186 HOSPITAL DRIVE,GRANTSVILLE,WV,26147,CALHOUN,(304) 354-9244,Critical Access Hospitals,Voluntary non-profit - Private
+88629,TEXAS HEALTH PRESBYTERIAN HOSPITAL DENTON,3000 N I-35,DENTON,TX,76201,DENTON,(940) 898-7000,Acute Care Hospitals,Voluntary non-profit - Private
+61179,SEASIDE BEHAVIORAL CENTER,4201 WOODLAND DRIVE,NEW ORLEANS,LA,70131,ORLEANS,(504) 393-4223,Psychiatric,Proprietary
+93014,JFK MEDICAL CTR - ANTHONY M. YELENCSICS COMMUNITY,65 JAMES STREET,EDISON,NJ,8818,MIDDLESEX,(732) 321-7000,Acute Care Hospitals,Voluntary non-profit - Private
+75473,FIRST HOSPITAL OF WYOMING VALLEY,562 WYOMING AVENUE,KINGSTON,PA,18704,LUZERNE,(570) 552-3900,Psychiatric,Proprietary
+12677,HERINGTON MUNICIPAL HOSPITAL,100 E HELEN STREET,HERINGTON,KS,67449,DICKINSON,(785) 258-2207,Critical Access Hospitals,Voluntary non-profit - Other
+70902,BANNER GOLDFIELD MEDICAL CENTER,2050 WEST SOUTHERN AVENUE,APACHE JUNCTION,AZ,85120,PINAL,(480) 733-3300,Acute Care Hospitals,Voluntary non-profit - Other
+46888,ALEXIAN BROTHERS BEHAVIORAL HLTH HOSP,1650 MOON LAKE BLVD,HOFFMAN ESTATES,IL,60169,COOK,(847) 882-1600,Psychiatric,Voluntary non-profit - Church
+88666,GEISINGER WYOMING VALLEY MEDICAL CENTER,1000 EAST MOUNTAIN BOULEVARD,WILKES BARRE,PA,18711,LUZERNE,(570) 826-7300,Acute Care Hospitals,Voluntary non-profit - Private
+80148,OCEANS BEHAVIORAL HOSPITAL OF DERIDDER,1420 BLANKENSHIP DRIVE,DERIDDER,LA,70634,BEAUREGARD,(337) 460-9472,Psychiatric,Proprietary
+28138,KAISER FOUNDATION HOSPITAL - ROSEVILLE,1600 EUREKA ROAD,ROSEVILLE,CA,95661,PLACER,(916) 784-4000,Acute Care Hospitals,Voluntary non-profit - Private
+12339,THREE RIVERS HOSPITAL,507 HOSPITAL WAY,BREWSTER,WA,98812,OKANOGAN,(509) 689-2517,Critical Access Hospitals,Government - Hospital District or Authority
+49262,ATRIUM HEALTH STANLY,301 YADKIN ST,ALBEMARLE,NC,28001,STANLY,(704) 984-4000,Acute Care Hospitals,Voluntary non-profit - Private
+74219,NEWPORT COMMUNITY HOSPITAL,714 WEST PINE STREET,NEWPORT,WA,99156,PEND OREILLE,(509) 447-2441,Critical Access Hospitals,Government - Hospital District or Authority
+21561,GOV JUAN F LUIS HOSPITAL & MEDICAL CTR,"#4007 EST DIAMOND RUBY, CHRISTIANSTED",ST CROIX,VI,820,SAINT CROIX ISLAND,(340) 778-6311,Acute Care Hospitals,Government - State
+91348,AVERA WESKOTA MEMORIAL MEDICAL CENTER - CAH,604 1ST ST NE,WESSINGTON SPRINGS,SD,57382,JERAULD,(605) 539-1201,Critical Access Hospitals,Voluntary non-profit - Private
+83865,ALEXIAN BROTHERS MEDICAL CENTER 1,800 W BIESTERFIELD RD,ELK GROVE VILLAGE,IL,60007,COOK,(847) 437-5500,Acute Care Hospitals,Voluntary non-profit - Church
+18430,ELLIOT HOSPITAL,1 ELLIOT WAY,MANCHESTER,NH,3103,HILLSBOROUGH,(603) 669-5300,Acute Care Hospitals,Voluntary non-profit - Private
+43308,EL CAMINO HOSPITAL,2500 GRANT ROAD,MOUNTAIN VIEW,CA,94040,SANTA CLARA,(650) 940-7000,Acute Care Hospitals,Government - Hospital District or Authority
+87418,STILLWATER MEDICAL CENTER,1323 WEST 6TH STREET,STILLWATER,OK,74076,PAYNE,(405) 372-1480,Acute Care Hospitals,Voluntary non-profit - Other
+46838,BAPTIST HEALTH PADUCAH,2501 KENTUCKY AVENUE,PADUCAH,KY,42003,MC CRACKEN,(270) 575-2100,Acute Care Hospitals,Voluntary non-profit - Church
+26133,CHRISTUS SPOHN HOSPITAL KLEBERG,1311 EAST GENERAL CAVAZOS BLVD,KINGSVILLE,TX,78363,KLEBERG,(361) 595-1661,Acute Care Hospitals,Voluntary non-profit - Private
+68919,ENNIS REGIONAL MEDICAL CENTER,2201 WEST LAMPASAS STREET,ENNIS,TX,75119,ELLIS,(972) 875-0900,Acute Care Hospitals,Proprietary
+15544,ELIZABETHTOWN COMMUNITY HOSPITAL,75 PARK STREET,ELIZABETHTOWN,NY,12932,ESSEX,(518) 873-6377,Critical Access Hospitals,Voluntary non-profit - Private
+81399,NORTHWEST MISSOURI PSYCHIATRIC REHAB CTR,3505 FREDERICK AVENUE,SAINT JOSEPH,MO,64502,BUCHANAN,(816) 387-2300,Psychiatric,Government - State
+30749,UNIVERSITY BEHAVIORAL CENTER,2500 DISCOVERY DRIVE,ORLANDO,FL,32826,ORANGE,(407) 281-7000,Psychiatric,Voluntary non-profit - Private
+80827,SOUTH GEORGIA MEDICAL CENTER,"2501 NORTH PATTERSON STREET, PO BOX 1727",VALDOSTA,GA,31602,LOWNDES,(229) 333-1020,Acute Care Hospitals,Government - Hospital District or Authority
+76925,ANNIE JEFFREY MEMORIAL COUNTY HEALTH CENTER,"P O BOX 428, 531 BEEBE ST",OSCEOLA,NE,68651,POLK,(402) 747-2031,Critical Access Hospitals,Government - Local
+13279,FINLEY HOSPITAL,350 NORTH GRANDVIEW AVENUE,DUBUQUE,IA,52001,DUBUQUE,(563) 582-1881,Acute Care Hospitals,Voluntary non-profit - Private
+34430,TENNOVA HEALTHCARE-CLARKSVILLE,651 DUNLOP LANE,CLARKSVILLE,TN,37040,MONTGOMERY,(931) 502-1000,Acute Care Hospitals,Proprietary
+26490,ST ELIZABETH COMMUNITY HOSPITAL,2550 SISTER MARY COLUMBA DRIVE,RED BLUFF,CA,96080,TEHAMA,(530) 529-8012,Acute Care Hospitals,Voluntary non-profit - Church
+64302,FAIRVIEW NORTHLAND REGIONAL HOSPITAL,911 NORTHLAND DR,PRINCETON,MN,55371,MILLE LACS,(763) 389-6481,Acute Care Hospitals,Voluntary non-profit - Other
+87480,SHRINERS HOSPITALS FOR CHILDREN - CINCINNATI,3229 BURNETT AVENUE,CINCINNATI,OH,45229,HAMILTON,(513) 872-6000,Childrens,Voluntary non-profit - Private
+50142,TERRELL STATE HOSPITAL,1200 E BRIN STREET,TERRELL,TX,75160,KAUFMAN,(972) 524-6452,Psychiatric,Government - State
+14704,KAISER FOUNDATION HOSPITAL - PANORAMA CITY,13652 CANTARA ST,PANORAMA CITY,CA,91402,LOS ANGELES,(818) 375-3333,Acute Care Hospitals,Voluntary non-profit - Private
+21555,METROWEST MEDICAL CENTER,115 LINCOLN STREET,FRAMINGHAM,MA,1701,MIDDLESEX,(508) 383-1000,Acute Care Hospitals,Voluntary non-profit - Private
+41756,EXCELA HEALTH LATROBE HOSPITAL,ONE MELLON WAY,LATROBE,PA,15650,WESTMORELAND,(724) 537-1000,Acute Care Hospitals,Voluntary non-profit - Private
+36292,SAINT CAMILLUS MEDICAL CENTER,1612 HURST TOWN CENTER DRIVE,HURST,TX,76054,TARRANT,(817) 519-3700,Acute Care Hospitals,Proprietary
+46697,DELTA COMMUNITY HOSPITAL,126 SOUTH WHITE SAGE AVENUE,DELTA,UT,84624,MILLARD,(435) 864-5591,Critical Access Hospitals,Proprietary
+77097,FAXTON-ST LUKE'S HEALTHCARE,1656 CHAMPLIN AVENUE,UTICA,NY,13503,ONEIDA,(315) 798-6000,Acute Care Hospitals,Voluntary non-profit - Private
+48196,SCOTT REGIONAL HOSPITAL CAH,317 HIGHWAY 13 SOUTH,MORTON,MS,39117,SCOTT,(601) 732-6301,Critical Access Hospitals,Voluntary non-profit - Private
+26447,MARSHALL BROWNING HOSPITAL,900 NORTH WASHINGTON STREET,DU QUOIN,IL,62832,PERRY,(618) 542-2146,Critical Access Hospitals,Voluntary non-profit - Private
+27955,BROUGHTON HOSPITAL,1000 S STERLING STREET,MORGANTON,NC,28655,BURKE,(828) 433-2111,Psychiatric,Government - State
+39192,REGINA HOSPITAL,1175 NININGER ROAD,HASTINGS,MN,55033,DAKOTA,(651) 480-4100,Acute Care Hospitals,Voluntary non-profit - Church
+92092,"SOUTHCOAST HOSPITAL GROUP, INC",363 HIGHLAND AVENUE,FALL RIVER,MA,2720,BRISTOL,(508) 679-3131,Acute Care Hospitals,Voluntary non-profit - Private
+16193,HEALDSBURG DISTRICT HOSPITAL,1375 UNIVERSITY AVENUE,HEALDSBURG,CA,95448,SONOMA,(707) 431-6500,Critical Access Hospitals,Government - Hospital District or Authority
+30533,ST JOSEPH MEDICAL CENTER,2200 E WASHINGTON,BLOOMINGTON,IL,61701,MC LEAN,(309) 662-3311,Acute Care Hospitals,Voluntary non-profit - Church
+66265,AURORA BEHAVIORAL HEALTHCARE-TEMPE,6350 SOUTH MAPLE AVENUE,TEMPE,AZ,85283,MARICOPA,(480) 345-5400,Psychiatric,Voluntary non-profit - Private
+84959,WOOSTER COMMUNITY HOSPITAL,1761 BEALL AVENUE,WOOSTER,OH,44691,WAYNE,(330) 263-8100,Acute Care Hospitals,Government - Local
+62314,SHRINERS HOSPITALS FOR CHILDREN,3160 GENEVA STREET,LOS ANGELES,CA,90020,LOS ANGELES,(213) 388-3151,Childrens,Voluntary non-profit - Private
+71755,KENMARE COMMUNITY HOSPITAL,PO BOX 697,KENMARE,ND,58746,WARD,(701) 385-4296,Critical Access Hospitals,Voluntary non-profit - Private
+14766,INTEGRIS MIAMI HOSPITAL,200 SECOND AVENUE SOUTHWEST,MIAMI,OK,74355,OTTAWA,(918) 542-6611,Acute Care Hospitals,Voluntary non-profit - Other
+15112,THOMAS JEFFERSON UNIVERSITY HOSPITAL,111 SOUTH 11TH STREET,PHILADELPHIA,PA,19107,PHILADELPHIA,(215) 955-6000,Acute Care Hospitals,Voluntary non-profit - Private
+42860,NEA BAPTIST MEMORIAL HOSPITAL,4800 EAST JOHNSON AVENUE,JONESBORO,AR,72401,CRAIGHEAD,(870) 972-7000,Acute Care Hospitals,Voluntary non-profit - Private
+76795,FILLMORE COUNTY HOSPITAL,"P O BOX 193, 1900 F STREET",GENEVA,NE,68361,FILLMORE,(402) 759-3167,Critical Access Hospitals,Government - Local
+52710,WASHINGTON COUNTY HOSPITAL AND CLINICS,400 EAST POLK STREET,WASHINGTON,IA,52353,WASHINGTON,(319) 653-5481,Critical Access Hospitals,Voluntary non-profit - Other
+63102,MERCY MEDICAL CENTER,333 MERCY AVENUE,MERCED,CA,95340,MERCED,(209) 564-5000,Acute Care Hospitals,Voluntary non-profit - Private
+53149,TURNING POINT HOSPITAL,3015 VETERANS PARKWAY,MOULTRIE,GA,31788,COLQUITT,(229) 985-4815,Acute Care Hospitals,Proprietary
+79158,GIFFORD MEDICAL CENTER,44 SOUTH MAIN STREET,RANDOLPH,VT,5060,ORANGE,(802) 728-4441,Critical Access Hospitals,Voluntary non-profit - Private
+18232,PSYCHIATRIC INSTITUTE OF WASHINGTON DC,"4228 WISCONSIN AVENUE, NW",WASHINGTON,DC,20016,THE DISTRICT,(202) 885-5600,Psychiatric,Voluntary non-profit - Private
+23836,COTTONWOOD SPRINGS LLC,13351 S ARAPAHO DRIVE,OLATHE,KS,66062,JOHNSON,(913) 353-3000,Psychiatric,Proprietary
+67349,"TRANSYLVANIA REGIONAL HOSPITAL, INC",90 HOSPITAL DRIVE PO BOX 1116,BREVARD,NC,28712,TRANSYLVANIA,(828) 883-5302,Critical Access Hospitals,Voluntary non-profit - Private
+68995,THE MIRIAM HOSPITAL,164 SUMMIT AVENUE,PROVIDENCE,RI,2906,PROVIDENCE,(401) 793-2500,Acute Care Hospitals,Voluntary non-profit - Private
+24057,HEBREW HOME AND HOSPITAL INC,1 ABRAHMS BOULEVARD,WEST HARTFORD,CT,6117,HARTFORD,(860) 523-3800,Acute Care Hospitals,Voluntary non-profit - Private
+28477,GRAND LAKE HEALTH SYSTEM,200 SAINT CLAIR STREET,SAINT MARYS,OH,45885,AUGLAIZE,(419) 394-3335,Acute Care Hospitals,Voluntary non-profit - Private
+14761,HIGHLANDS REGIONAL MEDICAL CENTER,5000 KENTUCKY ROUTE 321,PRESTONSBURG,KY,41653,FLOYD,(606) 886-8511,Acute Care Hospitals,Proprietary
+52682,UPMC COLE,1001 EAST SECOND STREET,COUDERSPORT,PA,16915,POTTER,(814) 274-9301,Critical Access Hospitals,Voluntary non-profit - Other
+84169,CENTRAL MAINE MEDICAL CENTER,300 MAIN STREET,LEWISTON,ME,4240,ANDROSCOGGIN,(207) 795-0111,Acute Care Hospitals,Voluntary non-profit - Private
+23236,Bassett ACH (FT Wainwright),4076 Neely Road,Fort Wainwright,AK,99703,FAIRBANKS NORTH STAR,(907) 361-4000,Acute Care - Department of Defense,Department of Defense
+93098,CACHE VALLEY  HOSPITAL,2380 NORTH 400 EAST,NORTH LOGAN,UT,84341,CACHE,(435) 713-9580,Acute Care Hospitals,Proprietary
+48279,OUACHITA COUNTY MEDICAL CENTER,638 CALIFORNIA AVENUE,CAMDEN,AR,71701,OUACHITA,(870) 836-1000,Acute Care Hospitals,Voluntary non-profit - Private
+44849,HEALTHBRIDGE CHILDRENS'S HOSPITAL OF HOUSTON,2929 WOODLAND PARK DRIVE,HOUSTON,TX,77082,HARRIS,(281) 293-7774,Childrens,Proprietary
+24908,HILLSBORO COMMUNITY HOSPITAL,101 INDUSTRIAL ROAD,HILLSBORO,KS,67063,MARION,(620) 947-3114,Critical Access Hospitals,Proprietary
+21181,SURGICAL HOSPITAL AT SOUTHWOODS,7630 SOUTHERN BLVD,YOUNGSTOWN,OH,44512,MAHONING,(330) 729-8000,Acute Care Hospitals,Proprietary
+79025,TRI VALLEY HEALTH SYSTEM,1305 WEST HIGHWAY 6/34,CAMBRIDGE,NE,69022,FURNAS,(308) 697-3329,Critical Access Hospitals,Voluntary non-profit - Private
+39877,CHAMBERSBURG HOSPITAL,112 NORTH SEVENTH STREET,CHAMBERSBURG,PA,17201,FRANKLIN,(717) 267-3000,Acute Care Hospitals,Voluntary non-profit - Private
+62828,CHRISTUS OCHSNER ST PATRICK HOSPITAL,524 DR MICHAEL DEBAKEY STREET,LAKE CHARLES,LA,70601,CALCASIEU,(337) 436-2511,Acute Care Hospitals,Voluntary non-profit - Private
+44519,PEACEHEALTH UNITED GENERAL MEDICAL CENTER,2000 HOSPITAL DRIVE,SEDRO WOOLLEY,WA,98284,SKAGIT,(360) 856-6021,Critical Access Hospitals,Government - Hospital District or Authority
+93896,NORTH STAR HOSPITAL,2530 DEBARR RD,ANCHORAGE,AK,99508,ANCHORAGE,(907) 264-3526,Psychiatric,Proprietary
+72999,SONOMA DEVELOPMENTAL CENTER,15000 ARNOLD DRIVE   /  P O BOX 1493,ELDRIDGE,CA,95431,SONOMA,(707) 938-6000,Acute Care Hospitals,Government - State
+27518,AURORA ST LUKES MEDICAL CENTER,2900 W OKLAHOMA AVE,MILWAUKEE,WI,53215,MILWAUKEE,(414) 649-6000,Acute Care Hospitals,Voluntary non-profit - Private
+52952,MORGAN MEDICAL CENTER,1740 LIONS CLUB ROAD,MADISON,GA,30650,MORGAN,(706) 342-1667,Critical Access Hospitals,Government - Hospital District or Authority
+34290,MEDICAL CENTER OF TRINITY,"9330 SR 54, STE 401",TRINITY,FL,34655,PASCO,(727) 834-4900,Acute Care Hospitals,Proprietary
+56503,ASCENSION PROVIDENCE HOSPITAL,16001 W NINE MILE RD,SOUTHFIELD,MI,48075,OAKLAND,(248) 849-3011,Acute Care Hospitals,Voluntary non-profit - Church
+45506,ADVENTIST GLENOAKS,701 WINTHROP AVENUE,GLENDALE HEIGHTS,IL,60139,DU PAGE,(630) 545-8000,Acute Care Hospitals,Voluntary non-profit - Other
+45637,FIRST HOSPITAL PANAMERICANO,STATE ROAD 787 KM 1  5,CIDRA,PR,739,CIDRA,(787) 739-5555,Psychiatric,Proprietary
+22257,"THE JEROME GOLDEN CENTER FOR BEHAVIORAL HEALTH, IN",1041 45TH ST,WEST PALM BEACH,FL,33407,PALM BEACH,(561) 844-9741,Psychiatric,Voluntary non-profit - Private
+67672,"WEST COVINA MEDICAL CENTER, INC",725 S ORANGE AVE,WEST COVINA,CA,91790,LOS ANGELES,(626) 338-8481,Acute Care Hospitals,Proprietary
+65517,DUKE UNIVERSITY HOSPITAL,PO BOX 3814 DUMC  ERWIN RD,DURHAM,NC,27710,DURHAM,(919) 684-8111,Acute Care Hospitals,Proprietary
+87861,SOUTH COAST GLOBAL MEDICAL CENTER,2701 S BRISTOL ST,SANTA ANA,CA,92704,ORANGE,(714) 754-5454,Acute Care Hospitals,Proprietary
+78929,BRIGHAM AND WOMEN'S FAULKNER HOSPITAL,1153 CENTRE STREET,BOSTON,MA,2130,SUFFOLK,(617) 983-7000,Acute Care Hospitals,Voluntary non-profit - Private
+80038,COSHOCTON REGIONAL MEDICAL CENTER,1460 ORANGE STREET,COSHOCTON,OH,43812,COSHOCTON,(740) 623-4144,Acute Care Hospitals,Voluntary non-profit - Private
+76495,WAVERLY HEALTH CENTER,312  9TH STREET SW,WAVERLY,IA,50677,BREMER,(319) 352-4120,Critical Access Hospitals,Government - Local
+69410,MEEKER MEMORIAL HOSPITAL,612 SOUTH SIBLEY AVENUE,LITCHFIELD,MN,55355,MEEKER,(320) 693-4507,Critical Access Hospitals,Government - Local
+57906,BAYLOR SCOTT & WHITE EMERGENCY MEDICAL CENTER AT C,900 EAST WHITESTONE BLVD,CEDAR PARK,TX,78613,WILLIAMSON,(512) 684-4911,Acute Care Hospitals,Government - Hospital District or Authority
+40391,AVALA,67252 INDUSTRY LANE,COVINGTON,LA,70433,ST. TAMMANY,(985) 801-3010,Acute Care Hospitals,Physician
+38312,"CENTRA  HEALTH, INC",1901 TATE SPRINGS ROAD,LYNCHBURG,VA,24501,LYNCHBURG CITY,(434) 200-4789,Acute Care Hospitals,Voluntary non-profit - Private
+51048,GRAND VIEW HOSPITAL,700 LAWN AVENUE,SELLERSVILLE,PA,18960,BUCKS,(215) 453-4615,Acute Care Hospitals,Voluntary non-profit - Other
+11090,CUMBERLAND HALL,270 WALTON WAY,HOPKINSVILLE,KY,42240,CHRISTIAN,(270) 886-1919,Psychiatric,Proprietary
+10865,SANFORD MEDICAL CENTER THIEF RIVER FALLS,3001 SANFORD PARKWAY,THIEF RIVER FALLS,MN,56701,PENNINGTON,(218) 681-4240,Critical Access Hospitals,Voluntary non-profit - Private
+76513,MONROE COMMUNITY HOSPITAL,435 EAST HENRIETTA ROAD,ROCHESTER,NY,14620,MONROE,(585) 760-6500,Acute Care Hospitals,Voluntary non-profit - Other
+83879,ST VINCENTS BLOUNT,150 GILBREATH DRIVE,ONEONTA,AL,35121,BLOUNT,(205) 274-3000,Critical Access Hospitals,Voluntary non-profit - Private
+49063,FORT MEMORIAL HOSPITAL,611 SHERMAN AVE E,FORT ATKINSON,WI,53538,JEFFERSON,(920) 568-5000,Acute Care Hospitals,Voluntary non-profit - Private
+61695,MOUNTAIN WEST MEDICAL CENTER,2055 NORTH MAIN STREET,TOOELE,UT,84074,TOOELE,(435) 843-3700,Acute Care Hospitals,Proprietary
+22614,RIVER HOSPITAL CLINICS,4 FULLER STREET,ALEXANDRIA BAY,NY,13607,JEFFERSON,(315) 482-2511,Critical Access Hospitals,Voluntary non-profit - Private
+63266,RAMAPO RIDGE PSYCH HOSP,301 SICOMAC AVE,WYCKOFF,NJ,7481,BERGEN,(201) 848-5805,Psychiatric,Voluntary non-profit - Private
+20831,HOSPITAL SAN CRISTOBAL,CARR 506 KM 1 0,COTO LAUREL,PR,780,PONCE,(787) 848-2100,Acute Care Hospitals,Voluntary non-profit - Private
+93364,MADISON STATE HOSPITAL,711 GREEN RD,MADISON,IN,47250,JEFFERSON,(812) 265-2611,Psychiatric,Government - State
+89400,WHITE MEMORIAL MEDICAL CENTER,1720 E CESAR AVENUE,LOS ANGELES,CA,90033,LOS ANGELES,(323) 268-5000,Acute Care Hospitals,Voluntary non-profit - Church
+77256,OCHILTREE GENERAL HOSPITAL,3101 GARRETT DRIVE,PERRYTON,TX,79070,OCHILTREE,(806) 435-3606,Critical Access Hospitals,Government - Hospital District or Authority
+22116,MCLAREN THUMB REGION,1100 SOUTH VAN DYKE ROAD,BAD AXE,MI,48413,HURON,(989) 269-9521,Acute Care Hospitals,Voluntary non-profit - Private
+15896,REGIONAL MEDICAL CENTER BAYONET POINT,14000 FIVAY RD,HUDSON,FL,34667,PASCO,(727) 819-2929,Acute Care Hospitals,Proprietary
+24723,CHILDRENS MERCY HOSPITAL,2401 GILLHAM ROAD,KANSAS CITY,MO,64108,JACKSON,(816) 234-3000,Childrens,Voluntary non-profit - Private
+51757,OCEANS BEHAVIORAL HOSPITAL OF SAN MARCOS,1106 N IH 35,SAN MARCOS,TX,78666,HAYS,(512) 353-0194,Psychiatric,Proprietary
+17537,"OUR LADY OF LOURDES MEMORIAL HOSPITAL, INC",169 RIVERSIDE DRIVE,BINGHAMTON,NY,13905,BROOME,(607) 798-5111,Acute Care Hospitals,Voluntary non-profit - Private
+47908,"WOMANS HOSPITAL OF TEXAS,THE",7600 FANNIN,HOUSTON,TX,77054,HARRIS,(713) 790-1234,Acute Care Hospitals,Proprietary
+16144,RIDGEVIEW INSTITUTE,"3995 S COBB DRIVE, SE",SMYRNA,GA,30080,COBB,(770) 434-4567,Psychiatric,Proprietary
+38703,WASHAKIE MEDICAL CENTER,400 SOUTH 15TH STREET,WORLAND,WY,82401,WASHAKIE,(307) 347-3221,Critical Access Hospitals,Government - Local
+87169,WEST SUBURBAN MEDICAL CENTER,3 ERIE COURT,OAK PARK,IL,60302,COOK,(708) 383-6200,Acute Care Hospitals,Voluntary non-profit - Other
+45919,LADY OF THE SEA GENERAL HOSPITAL,200 WEST 134TH PLACE,CUT OFF,LA,70345,LAFOURCHE,(985) 632-6401,Critical Access Hospitals,Government - Hospital District or Authority
+20568,PHOEBE PUTNEY MEMORIAL HOSPITAL,417 THIRD AVENUE,ALBANY,GA,31703,DOUGHERTY,(229) 312-4068,Acute Care Hospitals,Government - Hospital District or Authority
+30502,"BAILEY MEDICAL CENTER, LLC",10502 NORTH 110TH EAST AVENUE,OWASSO,OK,74055,TULSA,(918) 376-8000,Acute Care Hospitals,Proprietary
+32144,DELAWARE PSYCHIATRIC CENTER,1901 N DUPONT HIGHWAY,NEW CASTLE,DE,19720,NEW CASTLE,(302) 255-2700,Psychiatric,Government - State
+84543,ALTA VIEW HOSPITAL,9660 SOUTH 1300 EAST,SANDY,UT,84094,SALT LAKE,(801) 501-2600,Acute Care Hospitals,Voluntary non-profit - Private
+19978,ST FRANCIS-DOWNTOWN,ONE ST FRANCIS DR,GREENVILLE,SC,29601,GREENVILLE,(800) 805-5678,Acute Care Hospitals,Voluntary non-profit - Private
+94167,SALEM HOSPITAL,"890 OAK STREET, SE",SALEM,OR,97301,MARION,(503) 561-5200,Acute Care Hospitals,Voluntary non-profit - Other
+34240,TULANE MEDICAL CENTER,1415 TULANE AVE,NEW ORLEANS,LA,70112,ORLEANS,(504) 988-5263,Acute Care Hospitals,Voluntary non-profit - Private
+51838,HOMESTEAD HOSPITAL,975 BAPTIST WAY,HOMESTEAD,FL,33033,MIAMI-DADE,(786) 243-8000,Acute Care Hospitals,Voluntary non-profit - Private
+56362,SCRIPPS GREEN HOSPITAL,10666 NORTH TORREY PINES ROAD,LA JOLLA,CA,92037,SAN DIEGO,(858) 455-9100,Acute Care Hospitals,Voluntary non-profit - Other
+19278,MARY BRIDGE CHILDREN'S HOSPITAL,317 MARTIN LUTHER KING JR W BOX 5299,TACOMA,WA,98415,PIERCE,(253) 403-1400,Childrens,Voluntary non-profit - Other
+53630,CAROLINAS MEDICAL CENTER/BEHAV HEALTH,1000 BLYTHE BLVD,CHARLOTTE,NC,28203,MECKLENBURG,(704) 355-2000,Acute Care Hospitals,Government - Hospital District or Authority
+34744,ADVENTIST HEALTH TULARE,869 NORTH CHERRY STREET,TULARE,CA,93274,TULARE,(559) 688-0821,Acute Care Hospitals,Voluntary non-profit - Private
+20895,RIVER'S EDGE HOSPITAL & CLINIC,1900 NORTH SUNRISE DRIVE,ST PETER,MN,56082,NICOLLET,(507) 934-7602,Critical Access Hospitals,Government - Local
+57389,MEMORIAL HOSPITAL MIRAMAR,1901 SW 172ND AVE,MIRAMAR,FL,33029,BROWARD,(954) 538-4810,Acute Care Hospitals,Government - Hospital District or Authority
+58836,CENTURA HEALTH-ST THOMAS MORE HOSPITAL,1338 PHAY AVENUE,CANON CITY,CO,81212,FREMONT,(719) 285-2000,Critical Access Hospitals,Voluntary non-profit - Private
+79274,SOUTHERN HILLS HOSPITAL AND MEDICAL CENTER,9300 WEST SUNSET RD,LAS VEGAS,NV,89148,CLARK,(702) 880-2100,Acute Care Hospitals,Voluntary non-profit - Private
+26298,PLEASANT VALLEY HOSPITAL,2520 VALLEY DRIVE,POINT PLEASANT,WV,25550,MASON,(304) 675-4340,Acute Care Hospitals,Voluntary non-profit - Private
+93511,FORT DEFIANCE INDIAN HOSPITAL,PO BOX 649,FORT DEFIANCE,AZ,86504,APACHE,(928) 729-8000,Acute Care Hospitals,Government - Federal
+71584,ALLEN COUNTY REGIONAL HOSPITAL,3066 NORTH KENTUCKY STREET,IOLA,KS,66749,ALLEN,(620) 365-1021,Critical Access Hospitals,Government - State
+32899,CROZER CHESTER MEDICAL CENTER,ONE MEDICAL CENTER BOULEVARD,UPLAND,PA,19013,DELAWARE,(610) 447-2000,Acute Care Hospitals,Voluntary non-profit - Other
+76043,FRANKLIN FOUNDATION HOSPITAL,1097 NORTHWEST BLVD,FRANKLIN,LA,70538,ST. MARY,(337) 828-0760,Critical Access Hospitals,Government - Hospital District or Authority
+73932,COOK CHILDRENS MEDICAL CENTER,801 SEVENTH AVENUE,FORT WORTH,TX,76104,TARRANT,(682) 885-4000,Childrens,Voluntary non-profit - Private
+48382,RIO GRANDE STATE CENTER,1401 RANGERVILLE ROAD,HARLINGEN,TX,78550,CAMERON,(956) 364-8000,Psychiatric,Government - State
+67535,PHOEBE WORTH MEDICAL CENTER,807 SOUTH ISABELLA STREET,SYLVESTER,GA,31791,WORTH,(229) 777-3851,Critical Access Hospitals,Voluntary non-profit - Private
+47642,WATSONVILLE COMMUNITY HOSPITAL,75 NIELSON STREET,WATSONVILLE,CA,95076,SANTA CRUZ,(831) 724-4741,Acute Care Hospitals,Proprietary
+18088,LONGMONT UNITED HOSPITAL,1950 MOUNTAIN VIEW AVE,LONGMONT,CO,80501,BOULDER,(303) 651-5111,Acute Care Hospitals,Voluntary non-profit - Private
+33037,PALACIOS COMMUNITY MEDICAL CENTER,311 GREEN AVENUE,PALACIOS,TX,77465,MATAGORDA,(361) 972-2511,Critical Access Hospitals,Voluntary non-profit - Private
+32171,SOUTHEAST MICHIGAN SURGICAL HOSPITAL,21230 DEQUINDRE ROAD,WARREN,MI,48091,MACOMB,(586) 427-1000,Acute Care Hospitals,Voluntary non-profit - Private
+94526,CAMBRIDGE MEDICAL CENTER,701 SOUTH DELLWOOD AVENUE,CAMBRIDGE,MN,55008,ISANTI,(763) 689-7700,Acute Care Hospitals,Voluntary non-profit - Private
+56273,TRUMBULL REGIONAL MEDICAL CENTER,1350 EAST MARKET STREET,WARREN,OH,44482,TRUMBULL,(330) 841-9820,Acute Care Hospitals,Proprietary
+13130,TRIGG COUNTY HOSPITAL,254 MAIN STREET,CADIZ,KY,42211,TRIGG,(270) 522-3215,Critical Access Hospitals,Voluntary non-profit - Private
+59548,CHILDREN'S HOSPITAL OF PHILADELPHIA,34TH ST & CIVIC CENTER BLVD,PHILADELPHIA,PA,19104,PHILADELPHIA,(215) 590-3745,Childrens,Voluntary non-profit - Private
+93573,INSPIRA MEDICAL CENTER WOODBURY,509 N BROAD ST,WOODBURY,NJ,8096,GLOUCESTER,(856) 845-0100,Acute Care Hospitals,Voluntary non-profit - Private
+74387,DUNES SURGICAL HOSPITAL,600 N SIOUX POINT ROAD,DAKOTA DUNES,SD,57049,UNION,(605) 232-3332,Acute Care Hospitals,Proprietary
+75119,NORTHWESTERN MEMORIAL HOSPITAL,251 E HURON ST,CHICAGO,IL,60611,COOK,(312) 926-2000,Acute Care Hospitals,Voluntary non-profit - Private
+75948,LITTLE RIVER MEMORIAL HOSPITAL,451 WEST LOCKE STREET,ASHDOWN,AR,71822,LITTLE RIVER,(870) 898-5011,Critical Access Hospitals,Voluntary non-profit - Private
+39038,BATH COMMUNITY HOSPITAL,106 PARK DRIVE- PO DRAWER Z,HOT SPRINGS,VA,24445,BATH,(540) 839-7000,Critical Access Hospitals,Voluntary non-profit - Private
+21489,ST LUKE'S HOSPITAL - ANDERSON CAMPUS,1872 ST LUKE'S BLVD,EASTON,PA,18045,NORTHAMPTON,(484) 503-3000,Acute Care Hospitals,Voluntary non-profit - Private
+94696,CHOCTAW HEALTH CENTER,ROUTE 7 BOX R50,PHILADELPHIA,MS,39350,NESHOBA,(601) 656-2211,Acute Care Hospitals,Government - Federal
+77360,ROSEBUD HEALTH CARE CENTER,383 N 17TH AV,FORSYTH,MT,59327,ROSEBUD,(406) 346-2161,Critical Access Hospitals,Voluntary non-profit - Private
+51000,OLEAN GENERAL HOSPITAL,515 MAIN STREET,OLEAN,NY,14760,CATTARAUGUS,(716) 373-2600,Acute Care Hospitals,Proprietary
+16693,INTEGRIS GROVE HOSPITAL,1001 EAST 18TH STREET,GROVE,OK,74344,DELAWARE,(918) 786-2243,Acute Care Hospitals,Voluntary non-profit - Private
+61082,DR SOLOMON CARTER FULLER MENTAL HEALTH CENTER,85 EAST NEWTON STREET,BOSTON,MA,2118,SUFFOLK,(617) 626-8700,Psychiatric,Government - State
+74590,RUTLAND REGIONAL MEDICAL CENTER,160 ALLEN ST,RUTLAND,VT,5701,RUTLAND,(802) 775-7111,Acute Care Hospitals,Voluntary non-profit - Private
+57547,MARY LANNING HEALTHCARE,715 N ST JOSEPH AVE,HASTINGS,NE,68901,ADAMS,(402) 461-5108,Acute Care Hospitals,Voluntary non-profit - Other
+76072,REEDSBURG AREA MEDICAL CENTER,2000 N DEWEY AVE,REEDSBURG,WI,53959,SAUK,(608) 524-6487,Critical Access Hospitals,Voluntary non-profit - Private
+38124,RICHLAND HOSPITAL,333 E SECOND ST,RICHLAND CENTER,WI,53581,RICHLAND,(608) 647-6321,Critical Access Hospitals,Voluntary non-profit - Private
+42434,KAPIOLANI MEDICAL CENTER FOR WOMEN & CHILDREN,1319 PUNAHOU STREET,HONOLULU,HI,96826,HONOLULU,(808) 983-6000,Childrens,Voluntary non-profit - Private
+27193,VAUGHAN REGIONAL MEDICAL CENTER PARKWAY CAMPUS,1015 MEDICAL CENTER PARKWAY,SELMA,AL,36701,DALLAS,(334) 418-4100,Acute Care Hospitals,Proprietary
+80651,RIDGECREST REGIONAL HOSPITAL,1081 NORTH CHINA LAKE BLVD,RIDGECREST,CA,93555,KERN,(760) 446-3551,Critical Access Hospitals,Voluntary non-profit - Private
+37511,LOGAN MEMORIAL HOSPITAL,1625 NASHVILLE STREET,RUSSELLVILLE,KY,42276,LOGAN,(270) 726-4011,Acute Care Hospitals,Proprietary
+46004,VENICE REGIONAL MEDICAL CENTER - BAYFRONT HEALTH,540 THE RIALTO,VENICE,FL,34285,SARASOTA,(941) 485-7711,Acute Care Hospitals,Proprietary
+16323,POUDRE VALLEY HOSPITAL,1024 S LEMAY AVE,FORT COLLINS,CO,80524,LARIMER,(970) 495-7000,Acute Care Hospitals,Voluntary non-profit - Private
+40551,GRANT MEMORIAL HOSPITAL,117 HOSPITAL DRIVE,PETERSBURG,WV,26847,GRANT,(304) 257-1026,Critical Access Hospitals,Voluntary non-profit - Other
+81359,ADVENTIST HEALTHCARE SHADY GROVE MEDICAL CENTER,9901 MEDICAL CENTER DRIVE,ROCKVILLE,MD,20850,MONTGOMERY,(240) 826-6527,Acute Care Hospitals,Voluntary non-profit - Private
+89958,NOVANT HEALTH HUNTERSVILLE MEDICAL CENTER,10030 GILEAD ROAD,HUNTERSVILLE,NC,28078,MECKLENBURG,(704) 316-4000,Acute Care Hospitals,Voluntary non-profit - Private
+50790,UCHEALTH GRANDVIEW HOSPITAL,5623 PULPIT PEAK VIEW,COLORADO SPRINGS,CO,80918,EL PASO,(719) 272-3623,Acute Care Hospitals,Voluntary non-profit - Private
+10472,MERCY HOSPITAL NORTHWEST ARKANSAS,2710 SOUTH RIFE MEDICAL LANE,ROGERS,AR,72758,BENTON,(479) 338-8000,Acute Care Hospitals,Voluntary non-profit - Church
+31862,JACKSON COUNTY MEMORIAL HOSPITAL AUTHORITY,1200 EAST PECAN ST,ALTUS,OK,73521,JACKSON,(580) 379-5000,Acute Care Hospitals,Government - Hospital District or Authority
+44603,HARTGROVE HOSPITAL,5730 W ROOSEVELT ROAD,CHICAGO,IL,60644,COOK,(773) 413-1700,Psychiatric,Proprietary
+30961,RIVERWOOD HEALTHCARE CENTER,200 BUNKER HILL DRIVE,AITKIN,MN,56431,AITKIN,(218) 927-5501,Critical Access Hospitals,Voluntary non-profit - Private
+88944,VANTAGE POINT OF NORTHWEST ARKANSAS,4253 CROSSOVER ROAD,FAYETTEVILLE,AR,72703,WASHINGTON,(479) 521-5731,Psychiatric,Proprietary
+37923,ST JOSEPH'S HOSPITAL,1 AMALIA DRIVE,BUCKHANNON,WV,26201,UPSHUR,(304) 472-2000,Critical Access Hospitals,Voluntary non-profit - Private
+28519,NORTHSIDE HOSPITAL,6000 49TH ST N,SAINT PETERSBURG,FL,33709,PINELLAS,(813) 521-5000,Acute Care Hospitals,Proprietary
+66308,PRAIRIE ST JOHNS,510 4TH STREET SOUTH,FARGO,ND,58103,CASS,(701) 476-7200,Psychiatric,Proprietary
+66659,SEQUEL POMEGRANATE HEALTH SYSTEMS LLC,765 PIERCE DRIVE,COLUMBUS,OH,43223,FRANKLIN,(614) 223-1650,Psychiatric,Proprietary
+59231,SOUTH LAKE HOSPITAL,1900 DON WICKHAM DR,CLERMONT,FL,34711,LAKE,(352) 394-4071,Acute Care Hospitals,Government - Hospital District or Authority
+67715,PIKEVILLE MEDICAL CENTER,911 BYPASS ROAD,PIKEVILLE,KY,41501,PIKE,(606) 218-3500,Acute Care Hospitals,Voluntary non-profit - Private
+10812,TEXAS HEALTH HARRIS METHODIST HOSPITAL AZLE,108 DENVER TRAIL,AZLE,TX,76020,TARRANT,(817) 444-8700,Acute Care Hospitals,Voluntary non-profit - Church
+37205,SEILING MUNICIPAL HOSPITAL,809 NE HIGHWAY 60,SEILING,OK,73663,DEWEY,(580) 922-7361,Critical Access Hospitals,Government - Local
+63824,CENTRA CARE HEALTH PAYNESVILLE,200 1ST STREET WEST,PAYNESVILLE,MN,56362,STEARNS,(320) 243-3779,Critical Access Hospitals,Voluntary non-profit - Private
+62010,GRAHAM COUNTY HOSPITAL,304 WEST PROUT STREET,HILL CITY,KS,67642,GRAHAM,(785) 421-2121,Critical Access Hospitals,Government - Local
+76507,NORTHRIDGE MEDICAL CENTER,70 MEDICAL CENTER DRIVE,COMMERCE,GA,30529,JACKSON,(706) 335-1100,Acute Care Hospitals,Government - Hospital District or Authority
+92611,VIRTUA WEST JERSEY HOSPITALS VOORHEES,100 BOWMAN DRIVE,VOORHEES,NJ,8043,CAMDEN,(856) 247-3000,Acute Care Hospitals,Voluntary non-profit - Private
+48873,MILLE LACS HEALTH SYSTEM,200 NORTH ELM STREET,ONAMIA,MN,56359,MILLE LACS,(320) 532-3154,Critical Access Hospitals,Voluntary non-profit - Private
+87932,ADVENTIST HEALTH LODI MEMORIAL,975 S FAIRMONT AVENUE,LODI,CA,95240,SAN JOAQUIN,(209) 334-3411,Acute Care Hospitals,Voluntary non-profit - Other
+85569,MACON COMMUNITY HOSPITAL,204 MEDICAL DRIVE,LAFAYETTE,TN,37083,MACON,(615) 666-2147,Critical Access Hospitals,Voluntary non-profit - Private
+81880,SOUTHEAST GEORGIA HEALTH SYSTEM- CAMDEN CAMPUS,2000 DAN PROCTOR DRIVE,SAINT MARYS,GA,31558,CAMDEN,(912) 576-6401,Acute Care Hospitals,Government - Hospital District or Authority
+71447,VALLEYWISE HEALTH MEDICAL CENTER,2601 EAST ROOSEVELT STREET,PHOENIX,AZ,85008,MARICOPA,(602) 344-5011,Acute Care Hospitals,Government - Local
+21285,MERCYONE DUBUQUE MEDICAL CENTER,250 MERCY DRIVE,DUBUQUE,IA,52001,DUBUQUE,(563) 589-8000,Acute Care Hospitals,Voluntary non-profit - Church
+87636,RYDER MEMORIAL HOSPITAL INC,355 AVE FONT MARTELO,HUMACAO,PR,791,HUMACAO,(787) 852-0768,Acute Care Hospitals,Voluntary non-profit - Private
+21056,BCA STONECREST CENTER,15000 GRATIOT AVENUE,DETROIT,MI,48205,WAYNE,(313) 245-0600,Psychiatric,Proprietary
+39065,PEAK VIEW BEHAVIORAL HEALTH,7353 SISTERS GROVE,COLORADO SPRINGS,CO,80923,EL PASO,(719) 444-8484,Psychiatric,Proprietary
+85336,HEALTHSOURCE SAGINAW,3340 HOSPITAL ROAD,SAGINAW,MI,48603,SAGINAW,(989) 790-7888,Acute Care Hospitals,Voluntary non-profit - Other
+31084,BOULDER CITY HOSPITAL,901 ADAMS BLVD,BOULDER CITY,NV,89005,CLARK,(702) 293-4111,Critical Access Hospitals,Voluntary non-profit - Private
+87228,COMMUNITY MEMORIAL HOSPITAL,400 N CALDWELL ST,STAUNTON,IL,62088,MACOUPIN,(618) 635-2200,Critical Access Hospitals,Voluntary non-profit - Private
+74954,TACOMA GENERAL ALLENMORE HOSPITAL,315 S MLK JR WAY,TACOMA,WA,98405,PIERCE,(253) 403-1000,Acute Care Hospitals,Voluntary non-profit - Private
+16341,BAYLOR SCOTT AND WHITE MEDICAL CENTER SUNNYVALE,231 SOUTH COLLINS ROAD,SUNNYVALE,TX,75182,DALLAS,(972) 892-3000,Acute Care Hospitals,Proprietary
+55088,MERCY ST FRANCIS HOSPITAL,"100 WEST HIGHWAY 60, PO BOX 82",MOUNTAIN VIEW,MO,65548,HOWELL,(417) 934-7000,Critical Access Hospitals,Voluntary non-profit - Private
+35327,MOUNT SINAI HOSPITAL,ONE GUSTAVE L LEVY PLACE,NEW YORK,NY,10029,NEW YORK,(212) 241-7981,Acute Care Hospitals,Voluntary non-profit - Private
+75081,ADVENTIST HEALTH REEDLEY,372 W CYPRESS AVE,REEDLEY,CA,93654,FRESNO,(559) 638-8155,Acute Care Hospitals,Voluntary non-profit - Private
+83424,MEMORIAL HOSPITAL SWEETWATER COUNTY,1200 COLLEGE DRIVE,ROCK SPRINGS,WY,82901,SWEETWATER,(307) 362-3711,Acute Care Hospitals,Government - Local
+54135,INDIANA UNIVERSITY HEALTH NORTH HOSPITAL,11700 N MERIDIAN ST,CARMEL,IN,46032,HAMILTON,(317) 688-2000,Acute Care Hospitals,Voluntary non-profit - Private
+13144,BAYLOR SCOTT AND WHITE EMERGENCY HOSPITAL BURLESON,12500 SOUTH FREEWAY SUITE 100,BURLESON,TX,76028,JOHNSON,(214) 294-6250,Acute Care Hospitals,Proprietary
+20049,SOUTHERN TENNESSEE REGIONAL HLTH SYSTEM WINCHESTER,185 HOSPITAL ROAD,WINCHESTER,TN,37398,FRANKLIN,(931) 967-8295,Acute Care Hospitals,Proprietary
+86853,WINDSOR LAURELWOOD CENTER FOR BEHAVORIAL MEDICINE,35900 EUCLID AVENUE,WILLOUGHBY,OH,44094,LAKE,(440) 953-3000,Psychiatric,Proprietary
+20041,CALAIS REGIONAL HOSPITAL,24 HOSPITAL LANE,CALAIS,ME,4619,WASHINGTON,(207) 454-7521,Critical Access Hospitals,Voluntary non-profit - Private
+89476,MOUNTAIN VIEW HOSPITAL,3201 SCENIC HIGHWAY,GADSDEN,AL,35902,ETOWAH,(256) 546-9265,Psychiatric,Proprietary
+38562,METHODIST HOSPITAL OF CHICAGO,5025 N PAULINA STREET,CHICAGO,IL,60640,COOK,(773) 271-9040,Acute Care Hospitals,Voluntary non-profit - Private
+78940,INOVA MOUNT VERNON HOSPITAL,2501 PARKERS LANE,ALEXANDRIA,VA,22306,FAIRFAX,(703) 664-7000,Acute Care Hospitals,Voluntary non-profit - Private
+72982,FLAGSTAFF MEDICAL CENTER,1200 NORTH BEAVER STREET,FLAGSTAFF,AZ,86001,COCONINO,(928) 779-3366,Acute Care Hospitals,Voluntary non-profit - Private
+60393,SSM HEALTH ST MARY'S HOSPITAL - JANESVILLE,3400 EAST RACINE STREET,JANESVILLE,WI,53546,ROCK,(608) 373-8000,Acute Care Hospitals,Voluntary non-profit - Other
+14341,LOMA LINDA UNIVERSITY BEHAVIORAL MED CTR,1710 BARTON ROAD,REDLANDS,CA,92373,SAN BERNARDINO,(909) 558-9200,Psychiatric,Voluntary non-profit - Private
+22343,MILFORD VALLEY MEMORIAL HOSPITAL,850 NORTH MAIN STREET,MILFORD,UT,84751,BEAVER,(435) 387-2411,Critical Access Hospitals,Government - Hospital District or Authority
+89893,UPMC SUSQUEHANNA MUNCY,215 EAST WATER STREET,MUNCY,PA,17756,LYCOMING,(570) 546-8282,Critical Access Hospitals,Voluntary non-profit - Private
+77577,VIDANT MEDICAL CENTER,2100 STANTONSBURG RD,GREENVILLE,NC,27834,PITT,(252) 847-4100,Acute Care Hospitals,Voluntary non-profit - Private
+48662,"WILLIS KNIGHTON MEDICAL CENTER, INC",2600 GREENWOOD ROAD,SHREVEPORT,LA,71103,CADDO,(318) 212-4000,Acute Care Hospitals,Voluntary non-profit - Private
+47956,ADVENTHEALTH WESLEY CHAPEL,2600 BRUCE B DOWNS BLVD,WESLEY CHAPEL,FL,33544,PASCO,(813) 929-5490,Acute Care Hospitals,Voluntary non-profit - Private
+90979,"SURGICAL HOSPITAL OF OKLAHOMA, LLC",100 SOUTHEAST 59TH STREET,OKLAHOMA CITY,OK,73129,OKLAHOMA,(405) 634-9300,Acute Care Hospitals,Physician
+21776,HCA HOUSTON HEALTHCARE CLEAR LAKE,500 MEDICAL CENTER BLVD,WEBSTER,TX,77598,HARRIS,(281) 332-2511,Acute Care Hospitals,Proprietary
+77739,MAGEE WOMENS HOSPITAL OF UPMC HEALTH SYSTEM,300 HALKET STREET,PITTSBURGH,PA,15213,ALLEGHENY,(412) 641-4010,Acute Care Hospitals,Voluntary non-profit - Other
+70368,WYCKOFF HEIGHTS MEDICAL CENTER,374 STOCKHOLM STREET,BROOKLYN,NY,11237,KINGS,(718) 963-7272,Acute Care Hospitals,Voluntary non-profit - Private
+91301,GRANITE COUNTY MEDICAL CENTER,310 SANSOME ST,PHILIPSBURG,MT,59858,GRANITE,(406) 859-3271,Critical Access Hospitals,Government - Hospital District or Authority
+21928,BETH ISRAEL DEACONESS MEDICAL CENTER,330 BROOKLINE AVENUE,BOSTON,MA,2215,SUFFOLK,(617) 667-7000,Acute Care Hospitals,Voluntary non-profit - Private
+92024,POMONA VALLEY HOSPITAL MEDICAL CENTER,1798 N GAREY AVE,POMONA,CA,91767,LOS ANGELES,(909) 865-9500,Acute Care Hospitals,Voluntary non-profit - Private
+65760,HEARTLAND REGIONAL MEDICAL CENTER,3333 W DEYOUNG,MARION,IL,62959,WILLIAMSON,(618) 998-7000,Acute Care Hospitals,Proprietary
+37286,SACRED HEART HOSPITAL ON THE EMERALD COAST,7800 US HWY 98 W,MIRAMAR BEACH,FL,32550,WALTON,(850) 278-3600,Acute Care Hospitals,Voluntary non-profit - Other
+51292,ST VINCENT HEALTHCARE,1233 N 30TH ST,BILLINGS,MT,59101,YELLOWSTONE,(406) 657-7000,Acute Care Hospitals,Voluntary non-profit - Church
+68341,SPECTRUM HEALTH ZEELAND COMMUNITY HOSPITAL,8333 FELCH ST,ZEELAND,MI,49464,OTTAWA,(616) 772-4644,Acute Care Hospitals,Voluntary non-profit - Private
+23066,WILLS EYE HOSPITAL,840 WALNUT STREET,PHILADELPHIA,PA,19107,PHILADELPHIA,(215) 440-3100,Acute Care Hospitals,Voluntary non-profit - Private
+21808,FIELD HEALTH SYSTEM,178 HIGHWAY 24,CENTREVILLE,MS,39631,WILKINSON,(601) 890-0500,Critical Access Hospitals,Government - Local
+51961,ELMIRA PSYCH CENTER,WASHINGTON ST,ELMIRA,NY,14901,CHEMUNG,(607) 737-4739,Psychiatric,Government - State
+37712,FAYETTE COUNTY HOSPITAL,7TH AND TAYLOR,VANDALIA,IL,62471,FAYETTE,(618) 283-1231,Critical Access Hospitals,Voluntary non-profit - Other
+25274,LIBERTY DAYTON REGIONAL MEDICAL CENTER,1353 N TRAVIS ST,LIBERTY,TX,77575,LIBERTY,(936) 336-7316,Critical Access Hospitals,Government - Hospital District or Authority
+47958,MANIILAQ HEALTH CENTER,PO BOX 43,KOTZEBUE,AK,99752,NORTHWEST ARTIC BOROUGH,(907) 442-3321,Critical Access Hospitals,Tribal
+26030,OCEANS BEHAVIORAL HOSPITAL OF ALEXANDRIA,2621 NORTH BOLTON AVENUE,ALEXANDRIA,LA,71303,RAPIDES,(318) 448-8473,Psychiatric,Proprietary
+31964,HARRISON COUNTY COMMUNITY HOSPITAL,2600 MILLER STREET,BETHANY,MO,64424,HARRISON,(660) 425-0284,Critical Access Hospitals,Government - Hospital District or Authority
+93009,GREAT RIVER MEDICAL CENTER,1520 N DIVISION STREET,BLYTHEVILLE,AR,72315,MISSISSIPPI,(870) 838-7300,Acute Care Hospitals,Government - Local
+79774,OSF HOLY FAMILY MEDICAL CENTER,1000 W HARLEM AVENUE,MONMOUTH,IL,61462,WARREN,(309) 734-3141,Critical Access Hospitals,Voluntary non-profit - Church
+66950,MAIMONIDES MEDICAL CENTER,4802 TENTH AVENUE,BROOKLYN,NY,11219,KINGS,(718) 283-6000,Acute Care Hospitals,Voluntary non-profit - Private
+75224,FISHER COUNTY HOSPITAL DISTRICT,774 STATE HIGHWAY 70 N,ROTAN,TX,79546,FISHER,(325) 735-2256,Critical Access Hospitals,Government - Hospital District or Authority
+82229,WAYNE COUNTY HOSPITAL,166 HOSPITAL STREET,MONTICELLO,KY,42633,WAYNE,(606) 348-9343,Critical Access Hospitals,Voluntary non-profit - Private
+89071,PROVIDENCE HOLY CROSS MEDICAL CENTER,15031 RINALDI ST,MISSION HILLS,CA,91346,LOS ANGELES,(818) 365-8051,Acute Care Hospitals,Voluntary non-profit - Church
+59325,KONA COMMUNITY HOSPITAL,79-1019 HAUKAPILA STREET,KEALAKEKUA,HI,96750,HAWAII,(808) 322-9311,Acute Care Hospitals,Government - State
+44782,THE HEALTHCENTER,320 SUNNYVIEW LANE,KALISPELL,MT,59901,FLATHEAD,(406) 756-4720,Acute Care Hospitals,Proprietary
+43725,RENOWN SOUTH MEADOWS MEDICAL CENTER,10101 DOUBLE R BLVD,RENO,NV,89521,WASHOE,(775) 982-7063,Acute Care Hospitals,Voluntary non-profit - Private
+84333,MARSHALL MEDICAL CENTERS SOUTH CAMPUS,2505 U S HIGHWAY 431 NORTH,BOAZ,AL,35957,MARSHALL,(256) 593-8310,Acute Care Hospitals,Government - Hospital District or Authority
+64920,THE MEDICAL CENTER OF SOUTHEAST TEXAS,2555 JIMMY JOHNSON BLVD,PORT ARTHUR,TX,77640,JEFFERSON,(409) 853-5900,Acute Care Hospitals,Physician
+37378,MEDICAL BEHAVIORAL HOSPITAL - MISHAWAKA,1625 EAST JEFFERSON BLVD,MISHAWAKA,IN,46545,ST. JOSEPH,(574) 485-1703,Psychiatric,Proprietary
+27188,BEAVER DAM COMMUNITY HOSPITAL,707 S UNIVERSITY AVE,BEAVER DAM,WI,53916,DODGE,(920) 887-7181,Acute Care Hospitals,Voluntary non-profit - Private
+48820,CHRISTUS MOTHER FRANCES HOSPITAL- WINNSBORO,719 WEST COKE ROAD,WINNSBORO,TX,75494,WOOD,(903) 342-5227,Critical Access Hospitals,Voluntary non-profit - Private
+49451,HARNEY DISTRICT HOSPITAL,557 W WASHINGTON STREET,BURNS,OR,97720,HARNEY,(541) 573-7281,Critical Access Hospitals,Government - Hospital District or Authority
+86701,MEMORIAL HOSPITAL,715 SOUTH TAFT AVENUE,FREMONT,OH,43420,SANDUSKY,(419) 334-6617,Acute Care Hospitals,Voluntary non-profit - Other
+37855,EMANUEL MEDICAL CENTER,117 KITE ROAD,SWAINSBORO,GA,30401,EMANUEL,(478) 289-1304,Acute Care Hospitals,Government - Hospital District or Authority
+54666,MOCCASSIN BEND MENTAL HEALTH INSTITUTE,100 MOCCASIN BEND ROAD,CHATTANOOGA,TN,37405,HAMILTON,(423) 785-2271,Psychiatric,Government - State
+76295,1st Medical Group (Langley AFB),633 MDG 77 Nealy Ave,Langley,VA,23665,HAMPTON CITY,(757) 225-7630,Acute Care - Department of Defense,Department of Defense
+39842,BURGESS HEALTH CENTER,1600 DIAMOND STREET,ONAWA,IA,51040,MONONA,(712) 423-2311,Critical Access Hospitals,Voluntary non-profit - Private
+48023,ST LUKE'S ELMORE MEDICAL CENTER,895 NORTH 6TH EAST,MOUNTAIN HOME,ID,83647,ELMORE,(208) 587-8401,Critical Access Hospitals,Voluntary non-profit - Private
+48348,MERCY HOSPITAL TURNER MEMORIAL,801 WEST RIVER STREET,OZARK,AR,72949,FRANKLIN,(479) 667-4138,Critical Access Hospitals,Voluntary non-profit - Private
+27927,MERCY HEALTH - SPRINGFIELD REGIONAL MEDICAL CENTER,100 MEDICAL CENTER DRIVE,SPRINGFIELD,OH,45504,CLARK,(937) 523-1000,Acute Care Hospitals,Voluntary non-profit - Private
+67842,PARRISH MEDICAL CENTER,951 N WASHINGTON AVE,TITUSVILLE,FL,32796,BREVARD,(321) 268-6111,Acute Care Hospitals,Government - Hospital District or Authority
+71907,BRISTOL REGIONAL MEDICAL CENTER,ONE MEDICAL PARK BLVD,BRISTOL,TN,37620,SULLIVAN,(423) 844-1121,Acute Care Hospitals,Government - Hospital District or Authority
+52307,HILLCREST HOSPITAL,6780 MAYFIELD ROAD,MAYFIELD HEIGHTS,OH,44124,CUYAHOGA,(440) 312-4500,Acute Care Hospitals,Voluntary non-profit - Private
+19822,NORTHERN WESTCHESTER HOSPITAL,400 EAST MAIN STREET,MOUNT KISCO,NY,10549,WESTCHESTER,(914) 666-1200,Acute Care Hospitals,Voluntary non-profit - Private
+79054,ASCENSION BORGESS LEE HOSPITAL,420 W HIGH ST,DOWAGIAC,MI,49047,CASS,(269) 782-8681,Critical Access Hospitals,Voluntary non-profit - Church
+88365,HOLY CROSS HOSPITAL,1500 FOREST GLEN ROAD,SILVER SPRING,MD,20910,MONTGOMERY,(301) 754-7000,Acute Care Hospitals,Voluntary non-profit - Church
+52746,UPMC MERCY,1400 LOCUST STREET,PITTSBURGH,PA,15219,ALLEGHENY,(412) 232-8111,Acute Care Hospitals,Voluntary non-profit - Private
+52636,DUPONT HOSPITAL LLC,2520 E DUPONT RD,FORT WAYNE,IN,46825,ALLEN,(260) 416-3000,Acute Care Hospitals,Proprietary
+24610,"CORPUS CHRISTI MEDICAL CENTER,THE",6629 WOODRIDGE ROAD,CORPUS CHRISTI,TX,78414,NUECES,(361) 761-1501,Acute Care Hospitals,Proprietary
+39920,WISE HEALTH SYSTEM,3200 NORTH TARRANT PARKWAY,FORT WORTH,TX,76177,TARRANT,(817) 502-7300,Acute Care Hospitals,Government - Hospital District or Authority
+36283,TEXAS HEALTH CENTER FOR DIAGNOSTICS & SURGERY PLAN,6020 W PARKER ROAD,PLANO,TX,75093,COLLIN,(972) 403-2700,Acute Care Hospitals,Proprietary
+59663,HUNTINGTON BEACH HOSPITAL,17772 BEACH BLVD,HUNTINGTON BEACH,CA,92647,ORANGE,(714) 843-5000,Acute Care Hospitals,Proprietary
+21527,G WERBER BRYAN PSYCH HOSP,220 FAISON DR,COLUMBIA,SC,29203,RICHLAND,(803) 935-7143,Psychiatric,Government - State
+67133,SAN DIMAS COMMUNITY HOSPITAL,1350 W COVINA BLVD,SAN DIMAS,CA,91773,LOS ANGELES,(909) 599-6811,Acute Care Hospitals,Proprietary
+58920,PARADISE VALLEY HOSPITAL,2400 EAST 4TH ST,NATIONAL CITY,CA,91950,SAN DIEGO,(619) 470-4321,Acute Care Hospitals,Proprietary
+26204,REGIONAL MEDICAL CENTER OF CENTRAL ALABAMA,29 L V STABLER DRIVE,GREENVILLE,AL,36037,BUTLER,(334) 382-2200,Acute Care Hospitals,Proprietary
+19869,ST LUKE'S HOSPITAL,702 1ST ST SW,CROSBY,ND,58730,DIVIDE,(701) 965-6384,Critical Access Hospitals,Voluntary non-profit - Private
+50898,FITZGIBBON HOSPITAL,2305 S 65 HIGHWAY,MARSHALL,MO,65340,SALINE,(660) 886-7431,Acute Care Hospitals,Voluntary non-profit - Private
+74363,CATAWBA VALLEY MEDICAL CENTER,810 FAIRGROVE CHURCH RD,HICKORY,NC,28602,CATAWBA,(828) 326-3809,Acute Care Hospitals,Voluntary non-profit - Other
+66385,THOMAS B FINAN CENTER,"10102 COUNTRY CLUB ROAD,  POST OFFICE BOX 1722",CUMBERLAND,MD,21502,ALLEGANY,(301) 777-2240,Psychiatric,Government - Local
+75421,WAYNE COUNTY HOSPITAL,417 SOUTH EAST STREET,CORYDON,IA,50060,WAYNE,(641) 872-2260,Critical Access Hospitals,Government - Local
+40701,COLUMBIA MEMORIAL HOSPITAL,71 PROSPECT AVENUE,HUDSON,NY,12534,COLUMBIA,(518) 828-7601,Acute Care Hospitals,Voluntary non-profit - Private
+16187,"GUIDANCE CENTER, THE",2187 NORTH VICKEY STREET,FLAGSTAFF,AZ,86004,COCONINO,(928) 527-1899,Psychiatric,Voluntary non-profit - Private
+73240,CHRISTUS SANTA ROSA MEDICAL CENTER,2827 BABCOCK ROAD,SAN ANTONIO,TX,78229,BEXAR,(210) 704-3342,Acute Care Hospitals,Voluntary non-profit - Church
+13550,NESHOBA COUNTY GENERAL HOSPITAL,1001 HOLLAND AVENUE,PHILADELPHIA,MS,39350,NESHOBA,(601) 663-1200,Acute Care Hospitals,Government - Local
+81697,BANNER CHURCHILL COMMUNITY HOSPITAL,801 EAST WILLIAMS AVENUE,FALLON,NV,89406,CHURCHILL,(775) 423-3151,Critical Access Hospitals,Voluntary non-profit - Private
+16931,KIMBALL HEALTH SERVICES,505 SOUTH BURG ST,KIMBALL,NE,69145,KIMBALL,(308) 235-1951,Critical Access Hospitals,Government - Local
+77225,LANE REGIONAL MEDICAL CENTER,6300 MAIN STREET,ZACHARY,LA,70791,E. BATON ROUGE,(225) 658-4000,Acute Care Hospitals,Government - Hospital District or Authority
+92473,PRESBYTERIAN COMMUNITY HOSP,1451 ASHFORD AVENUE,SAN JUAN,PR,907,SAN JUAN,(787) 721-2160,Acute Care Hospitals,Voluntary non-profit - Other
+56287,COLLEGE STATION MEDICAL CENTER,1604 ROCK PRAIRIE ROAD,COLLEGE STATION,TX,77842,BRAZOS,(979) 764-5151,Acute Care Hospitals,Proprietary
+45721,RIVERSIDE METHODIST HOSPITAL,3535 OLENTANGY RIVER RD,COLUMBUS,OH,43214,FRANKLIN,(614) 566-5000,Acute Care Hospitals,Voluntary non-profit - Private
+50369,PHILHAVEN HOSPITAL,283 SOUTH BUTLER ROAD,MT GRETNA,PA,17064,LEBANON,(717) 273-8871,Psychiatric,Voluntary non-profit - Church
+39167,ST VINCENT WARRICK,1116 MILLIS AVE,BOONVILLE,IN,47601,WARRICK,(812) 897-4800,Critical Access Hospitals,Voluntary non-profit - Private
+37539,CASS REGIONAL MEDICAL CENTER,2800 E ROCK HAVEN ROAD,HARRISONVILLE,MO,64701,CASS,(816) 380-5888,Critical Access Hospitals,Government - Local
+92564,ATRIUM HEALTH ANSON,2301 US HIGHWAY 74 WEST,WADESBORO,NC,28170,ANSON,(704) 694-5131,Acute Care Hospitals,Government - Hospital District or Authority
+23853,BAYLOR SCOTT AND WHITE EMERGENCY HOSPITAL AUBREY,26791 HIGHWAY 380,AUBREY,TX,76227,DENTON,(972) 347-2525,Acute Care Hospitals,Proprietary
+29475,OWENSBORO HEALTH MUHLENBERG COMMUNITY HOSPITAL,440 HOPKINSVILLE STREET,GREENVILLE,KY,42345,MUHLENBERG,(270) 338-8000,Acute Care Hospitals,Voluntary non-profit - Private
+23843,HIGHLANDS CASHIERS HOSPITAL,190 HOSPITAL DRIVE,HIGHLANDS,NC,28741,MACON,(828) 526-1200,Critical Access Hospitals,Voluntary non-profit - Private
+59556,BAYLOR SCOTT & WHITE MEDICAL CENTER -TAYLOR,305 MALLARD,TAYLOR,TX,76574,WILLIAMSON,(512) 352-7611,Critical Access Hospitals,Voluntary non-profit - Private
+16313,CARSON TAHOE REGIONAL MEDICAL CENTER,1600 MEDICAL PARKWAY,CARSON CITY,NV,89703,CARSON CITY,(775) 445-8000,Acute Care Hospitals,Voluntary non-profit - Private
+16932,QUEEN OF THE VALLEY MEDICAL CENTER,1000 TRANCAS ST,NAPA,CA,94558,NAPA,(707) 252-4411,Acute Care Hospitals,Voluntary non-profit - Church
+59092,GENESIS MEDICAL CENTER-DEWITT,1118 11TH STREET,DEWITT,IA,52742,CLINTON,(563) 659-4200,Critical Access Hospitals,Voluntary non-profit - Private
+31001,WELLSTAR PAULDING HOSPITAL,2518 JIMMY LEE SMITH PARKWAY,HIRAM,GA,30141,PAULDING,(470) 644-7000,Acute Care Hospitals,Voluntary non-profit - Other
+50899,UNITYPOINT HEALTH-MARSHALLTOWN,3 S 4TH AVE,MARSHALLTOWN,IA,50158,MARSHALL,(641) 754-5151,Acute Care Hospitals,Voluntary non-profit - Private
+43336,LANSDALE HOSPITAL,100 MEDICAL CAMPUS DRIVE,LANSDALE,PA,19446,MONTGOMERY,(215) 368-2100,Acute Care Hospitals,Voluntary non-profit - Other
+31097,PROVIDENCE MEDICAL CENTER,1200 PROVIDENCE RD,WAYNE,NE,68787,WAYNE,(402) 375-3800,Critical Access Hospitals,Voluntary non-profit - Private
+39067,GUNDERSEN ST JOSEPHS HOSPITAL AND CLINICS,400 WATER AVE,HILLSBORO,WI,54634,VERNON,(608) 489-8000,Critical Access Hospitals,Voluntary non-profit - Private
+38325,BRONX-LEBANON HOSPITAL CENTER,1276 FULTON AVENUE,BRONX,NY,10456,BRONX,(212) 588-7000,Acute Care Hospitals,Proprietary
+30310,LASALLE GENERAL HOSPITAL,187 NINTH ST/HWY 84 WEST,JENA,LA,71342,LASALLE,(318) 992-9200,Acute Care Hospitals,Government - Hospital District or Authority
+83274,ASPEN HILLS HEALTHCARE CENTER,600 PEMBERTON-BROWNS MILLS ROAD,PEMBERTON,NJ,8068,BURLINGTON,(609) 836-6100,Psychiatric,Proprietary
+74009,"PORTER HOSPITAL, INC",115 PORTER DRIVE,MIDDLEBURY,VT,5753,ADDISON,(802) 388-4701,Critical Access Hospitals,Voluntary non-profit - Private
+31980,UNIVERSITY HOSPITALS - ELYRIA MEDICAL CENTER,630 EAST RIVER STREET,ELYRIA,OH,44035,LORAIN,(440) 329-7500,Acute Care Hospitals,Voluntary non-profit - Private
+69151,"ARKANSAS CHILDREN'S NORTHWEST, INC",2601 GENE GEORGE BOULEVARD,SPRINGDALE,AR,72762,WASHINGTON,(479) 725-6800,Childrens,Voluntary non-profit - Private
+43851,CANTON-POTSDAM HOSPITAL,50 LEROY STREET,POTSDAM,NY,13676,ST. LAWRENCE,(315) 265-3300,Acute Care Hospitals,Voluntary non-profit - Private
+82834,FRANKLIN REGIONAL HOSPITAL,15 AIKEN AVENUE,FRANKLIN,NH,3235,MERRIMACK,(603) 934-2060,Critical Access Hospitals,Voluntary non-profit - Private
+38920,KAUAI VETERANS MEMORIAL HOSPITAL,4643 WAIMEA CANYON DRIVE,WAIMEA,HI,96796,KAUAI,(808) 338-9431,Critical Access Hospitals,Government - State
+43936,CONWAY REGIONAL HEALTH SYSTEM,2302 COLLEGE AVENUE,CONWAY,AR,72034,FAULKNER,(501) 329-3831,Acute Care Hospitals,Voluntary non-profit - Private
+34125,ADVENTIST HEALTH SONORA,1000 GREENLEY ROAD,SONORA,CA,95370,TUOLUMNE,(209) 536-5000,Acute Care Hospitals,Voluntary non-profit - Church
+91846,DEKALB REGIONAL MEDICAL CENTER,200 MED CENTER DRIVE,FORT PAYNE,AL,35968,DE KALB,(256) 845-3150,Acute Care Hospitals,Proprietary
+76920,MEMORIAL HERMANN KATY HOSPITAL,23900 KATY FREEWAY,KATY,TX,77494,FORT BEND,(281) 392-1111,Acute Care Hospitals,Voluntary non-profit - Private
+45100,SOUTH MIAMI HOSPITAL,6200 SW 73RD ST,SOUTH MIAMI,FL,33143,MIAMI-DADE,(786) 662-4000,Acute Care Hospitals,Voluntary non-profit - Private
+57686,NATIONAL PARK MEDICAL CENTER,1910 MALVERN AVENUE,HOT SPRINGS,AR,71901,GARLAND,(501) 321-1000,Acute Care Hospitals,Proprietary
+92106,PROVIDENCE MEDFORD MEDICAL CENTER,1111 CRATER LAKE AVENUE,MEDFORD,OR,97504,JACKSON,(541) 732-5050,Acute Care Hospitals,Voluntary non-profit - Church
+78569,AURORA WEST ALLIS MEDICAL CENTER,8901 W LINCOLN AVE,WEST ALLIS,WI,53227,MILWAUKEE,(414) 328-6000,Acute Care Hospitals,Voluntary non-profit - Private
+58805,PROVIDENCE ST JOSEPH HOSPITAL,500 EAST WEBSTER,CHEWELAH,WA,99109,STEVENS,(509) 935-8211,Critical Access Hospitals,Voluntary non-profit - Church
+81648,"MEDICAL WEST, AN AFFILIATE OF UAB HEALTH SYSTEM",995 9TH AVENUE SOUTHWEST,BESSEMER,AL,35021,JEFFERSON,(205) 481-7000,Acute Care Hospitals,Government - Hospital District or Authority
+47460,COMMUNITY HOSPITAL OF THE MONTEREY PENINSULA,23625 W R HOLMAN HIGHWAY,MONTEREY,CA,93940,MONTEREY,(831) 624-5311,Acute Care Hospitals,Voluntary non-profit - Private
+11051,HOLLY HILL MENTAL HEALTH SERVICES,3019 FALSTAFF RD,RALEIGH,NC,27610,WAKE,(919) 250-7000,Psychiatric,Proprietary
+21284,CHI ST ALEXIUS HEALTH DICKINSON,2500 FAIRWAY STREET,DICKINSON,ND,58601,STARK,(701) 456-4000,Critical Access Hospitals,Voluntary non-profit - Church
+35798,MOUNT PLEASANT HOSPITAL,3510 HIGHWAY 17 NORTH SUITE 140,MOUNT PLEASANT,SC,29466,CHARLESTON,(843) 724-2954,Acute Care Hospitals,Voluntary non-profit - Private
+28551,STRATEGIC BEHAVIORAL CENTER-CHARLOTTE,1715 SHARON ROAD WEST,CHARLOTTE,NC,28210,MECKLENBURG,(704) 944-0650,Psychiatric,Proprietary
+37459,KETCHIKAN MEDICAL CENTER,3100 TONGASS AVENUE,KETCHIKAN,AK,99901,KETCHIKAN GATEWAY,(907) 225-5171,Critical Access Hospitals,Voluntary non-profit - Church
+56408,COLLEGE HOSPITAL COSTA MESA,301 VICTORIA STREET,COSTA MESA,CA,92627,ORANGE,(949) 642-2734,Acute Care Hospitals,Proprietary
+24203,PATRICK B HARRIS PSYCHIATRIC HOSPITAL,130 HIGHWAY 252,ANDERSON,SC,29622,ANDERSON,(803) 231-2600,Psychiatric,Government - State
+61106,ADVENTHEALTH DADE CITY,13100 FT KING RD,DADE CITY,FL,33525,PASCO,(352) 568-3174,Acute Care Hospitals,Proprietary
+33576,BARSTOW COMMUNITY HOSPITAL,820 E MOUNTAIN VIEW STREET,BARSTOW,CA,92311,SAN BERNARDINO,(760) 256-1761,Acute Care Hospitals,Proprietary
+12730,CLINCH VALLEY MEDICAL CENTER,6801 GOVERNOR GC PERRY HIGHWAY,RICHLANDS,VA,24641,TAZEWELL,(276) 596-6000,Acute Care Hospitals,Proprietary
+57679,HARDIN MEDICAL CENTER,935 WAYNE ROAD,SAVANNAH,TN,38372,HARDIN,(731) 926-8121,Acute Care Hospitals,Government - Local
+22167,CHRIST HOSPITAL,2139 AUBURN AVENUE,CINCINNATI,OH,45219,HAMILTON,(513) 585-2000,Acute Care Hospitals,Voluntary non-profit - Private
+14569,BUTLER COUNTY HEALTH CARE CENTER,372 SOUTH 9TH ST,DAVID CITY,NE,68632,BUTLER,(402) 367-1200,Critical Access Hospitals,Government - Local
+40750,ELLENVILLE REGIONAL HOSPITAL,10 HEALTHY WAY,ELLENVILLE,NY,12428,ULSTER,(845) 647-6400,Critical Access Hospitals,Voluntary non-profit - Private
+73406,SPRINGFIELD HOSPITAL CENTER,6655 SYKESVILLE ROAD,SYKESVILLE,MD,21784,CARROLL,(410) 970-7000,Psychiatric,Government - State
+54312,"DELAWARE VALLEY HOSPITAL, INC",1 TITUS PLACE,WALTON,NY,13856,DELAWARE,(607) 865-2188,Critical Access Hospitals,Voluntary non-profit - Private
+86831,MULTICARE AUBURN MEDICAL CENTER,202 NORTH DIVISION STREET PLAZA ONE,AUBURN,WA,98001,KING,(253) 833-7711,Acute Care Hospitals,Voluntary non-profit - Private
+54437,GREEN OAKS HOSPITAL,7808 CLODUS FIELDS DRIVE,DALLAS,TX,75251,DALLAS,(972) 991-9504,Psychiatric,Voluntary non-profit - Other
+23014,CHRISTUS ST MICHAEL HEALTH SYSTEM,2600 ST MICHAEL DR,TEXARKANA,TX,75504,BOWIE,(903) 614-1000,Acute Care Hospitals,Voluntary non-profit - Church
+37909,TARZANA TREATMENT CENTER,18646 OXNARD STREET,TARZANA,CA,91356,LOS ANGELES,(818) 996-1051,Psychiatric,Voluntary non-profit - Private
+14517,CHRISTUS SOUTHEAST TEXAS- ST ELIZABETH,2830 CALDER AVENUE,BEAUMONT,TX,77702,JEFFERSON,(409) 892-7171,Acute Care Hospitals,Voluntary non-profit - Private
+40524,THE HEART HOSPITAL BAYLOR DENTON,2801 SOUTH MAYHILL ROAD,DENTON,TX,76208,DENTON,(940) 220-0600,Acute Care Hospitals,Physician
+42869,RED LAKE HOSPITAL A,PO BOX 497,REDLAKE,MN,56671,BELTRAMI,(218) 679-3912,Acute Care Hospitals,Government - Federal
+93485,MCGEHEE HOSPITAL,900 SOUTH THIRD STREET,MCGEHEE,AR,71654,DESHA,(870) 222-5600,Critical Access Hospitals,Voluntary non-profit - Private
+40247,METHODIST HOSPITAL OF SACRAMENTO,7500 HOSPITAL DRIVE,SACRAMENTO,CA,95823,SACRAMENTO,(916) 423-6010,Acute Care Hospitals,Voluntary non-profit - Private
+84371,LAKE HEALTH,7590 AUBURN ROAD,CONCORD,OH,44077,LAKE,(440) 953-9600,Acute Care Hospitals,Voluntary non-profit - Private
+29142,KOSSUTH REGIONAL HEALTH CENTER,1515 SOUTH PHILLIPS STREET,ALGONA,IA,50511,KOSSUTH,(515) 295-2451,Critical Access Hospitals,Government - Local
+15687,TRACE REGIONAL HOSP AND SWING BED,1002 EAST MADISON STREET,HOUSTON,MS,38851,CHICKASAW,(662) 456-3700,Acute Care Hospitals,Proprietary
+49604,RIVERSIDE REGIONAL MEDICAL CENTER,500 J CLYDE MORRIS BLVD,NEWPORT NEWS,VA,23601,NEWPORT NEWS CITY,(757) 594-2000,Acute Care Hospitals,Voluntary non-profit - Private
+55954,CLAY COUNTY HOSPITAL,911 STACY BURK DRIVE,FLORA,IL,62839,CLAY,(618) 662-2131,Critical Access Hospitals,Government - Local
+49772,SSM HEALTH ST ANTHONY HOSPITAL - OKLAHOMA CITY,1000 NORTH LEE AVENUE,OKLAHOMA CITY,OK,73101,OKLAHOMA,(405) 272-7000,Acute Care Hospitals,Voluntary non-profit - Church
+83379,AURORA SAN DIEGO,11878 AVENUE OF INDUSTRY,SAN DIEGO,CA,92128,SAN DIEGO,(858) 487-3200,Psychiatric,Proprietary
+28110,MEMORIALCARE ORANGE COAST MEDICAL CENTER,9920 TALBERT AVENUE,FOUNTAIN VALLEY,CA,92708,ORANGE,(714) 378-7406,Acute Care Hospitals,Proprietary
+49788,YALE-NEW HAVEN HOSPITAL,20 YORK ST,NEW HAVEN,CT,6504,NEW HAVEN,(203) 688-4242,Acute Care Hospitals,Voluntary non-profit - Private
+12682,UPMC HORIZON,110 NORTH MAIN STREET,GREENVILLE,PA,16125,MERCER,(724) 588-2100,Acute Care Hospitals,Voluntary non-profit - Private
+87917,BROOKLYN HOSPITAL CENTER - DOWNTOWN CAMPUS,121 DEKALB AVENUE,BROOKLYN,NY,11201,KINGS,(718) 250-8000,Acute Care Hospitals,Voluntary non-profit - Private
+13259,CENTRAL TEXAS MEDICAL CENTER,1301 WONDER WORLD DRIVE,SAN MARCOS,TX,78666,HAYS,(512) 753-3690,Acute Care Hospitals,Voluntary non-profit - Private
+11789,ST LUKE'S CORNWALL HOSPITAL,70 DUBOIS STREET,NEWBURGH,NY,12550,ORANGE,(845) 561-4400,Acute Care Hospitals,Voluntary non-profit - Other
+61970,NORTH SUNFLOWER MEDICAL CENTER CAH,840 NORTH OAK AVENUE,RULEVILLE,MS,38771,SUNFLOWER,(662) 756-2711,Critical Access Hospitals,Government - Local
+51611,PLANTATION GENERAL HOSPITAL,401 NW 42ND AVE,PLANTATION,FL,33317,BROWARD,(954) 587-5010,Acute Care Hospitals,Voluntary non-profit - Private
+22165,"SAINT ALPHONSUS MEDICAL CENTER - ONTARIO, INC",351 SW 9TH STREET,ONTARIO,OR,97914,MALHEUR,(541) 881-7000,Acute Care Hospitals,Voluntary non-profit - Church
+62490,TANNER MEDICAL CENTER-EAST ALABAMA,1032 MAIN STREET SOUTH,WEDOWEE,AL,36278,RANDOLPH,(256) 357-2111,Critical Access Hospitals,Government - Hospital District or Authority
+83894,MORRIS HOSPITAL & HEALTHCARE CENTERS,150 W HIGH ST,MORRIS,IL,60450,GRUNDY,(815) 942-2932,Acute Care Hospitals,Voluntary non-profit - Private
+89180,BANNER BEHAVIORAL HEALTH HOSPITAL,7575 EAST EARLL DRIVE,SCOTTSDALE,AZ,85251,MARICOPA,(480) 448-7500,Psychiatric,Voluntary non-profit - Private
+74040,LAKE GRANBURY MEDICAL CENTER,1310 PALUXY RD,GRANBURY,TX,76048,HOOD,(817) 573-2683,Acute Care Hospitals,Proprietary
+17816,OCEAN BEACH HOSPITAL,174 FIRST AVENUE NORTH,ILWACO,WA,98624,PACIFIC,(360) 642-3181,Critical Access Hospitals,Government - State
+21654,PARMA COMMUNITY GENERAL HOSPITAL,7007 POWERS BOULEVARD,PARMA,OH,44129,CUYAHOGA,(440) 743-3000,Acute Care Hospitals,Voluntary non-profit - Private
+66820,KAISER FOUNDATION HOSPITAL,3288 MOANALUA RD,HONOLULU,HI,96819,HONOLULU,(808) 432-0000,Acute Care Hospitals,Voluntary non-profit - Private
+91011,GREENFIELD AREA MEDICAL CENTER,550 MIRABEAU STREET,GREENFIELD,OH,45123,HIGHLAND,(937) 981-9400,Critical Access Hospitals,Voluntary non-profit - Private
+32239,GARDEN CITY HOSPITAL,6245 INKSTER RD,GARDEN CITY,MI,48135,WAYNE,(734) 421-3300,Acute Care Hospitals,Voluntary non-profit - Private
+40566,GARRETT COUNTY MEMORIAL HOSPITAL,251 NORTH  FOURTH STREET,OAKLAND,MD,21550,GARRETT,(301) 533-4173,Acute Care Hospitals,Voluntary non-profit - Private
+22048,EFFINGHAM HEALTH SYSTEM,459 GA HIGHWAY 119 SOUTH,SPRINGFIELD,GA,31329,EFFINGHAM,(912) 754-0160,Critical Access Hospitals,Government - Hospital District or Authority
+12734,UCHEALTH PIKES PEAK REGIONAL HOSPITAL,16420 WEST HIGHWAY 24,WOODLAND PARK,CO,80863,TELLER,(719) 687-9999,Critical Access Hospitals,Voluntary non-profit - Private
+57139,N Y EYE AND EAR INFIRMARY,230 SECOND AVE,NEW YORK,NY,10003,NEW YORK,(212) 979-4000,Acute Care Hospitals,Voluntary non-profit - Private
+81266,AURORA MEDICAL CENTER SUMMIT,36500 AURORA DRIVE,SUMMIT,WI,53066,WAUKESHA,(262) 434-1000,Acute Care Hospitals,Voluntary non-profit - Private
+42066,NORTHERN LIGHT A R GOULD HOSPITAL,PO BOX 151,PRESQUE ISLE,ME,4769,AROOSTOOK,(207) 768-4000,Acute Care Hospitals,Voluntary non-profit - Private
+29402,CONNECTICUT MENTAL HEALTH CENTER,34 PARK STREET,NEW HAVEN,CT,6508,NEW HAVEN,(203) 974-3000,Psychiatric,Government - State
+17549,FAIRMONT REGIONAL MEDICAL CENTER,1325 LOCUST AVENUE,FAIRMONT,WV,26554,MARION,(304) 367-7100,Acute Care Hospitals,Voluntary non-profit - Private
+76692,FRANCISCAN HEALTH OLYMPIA & CHICAGO HEIGHTS,20201 S CRAWFORD AVENUE,OLYMPIA FIELDS,IL,60461,COOK,(708) 747-4000,Acute Care Hospitals,Voluntary non-profit - Church
+23507,UNITYPOINT HEALTH - MERITER,202 S PARK ST,MADISON,WI,53715,DANE,(608) 417-6000,Acute Care Hospitals,Voluntary non-profit - Private
+37683,MEDICAL CITY ARLINGTON,3301 MATLOCK ROAD,ARLINGTON,TX,76015,TARRANT,(817) 465-3241,Acute Care Hospitals,Proprietary
+37007,ST LUKE'S SUGAR LAND HOSPITAL,1317 LAKE POINTE PARKWAY,SUGAR LAND,TX,77478,FORT BEND,(281) 637-7000,Acute Care Hospitals,Voluntary non-profit - Private
+90039,PULLMAN REGIONAL HOSPITAL,835 S BISHOP BLVD,PULLMAN,WA,99163,WHITMAN,(509) 332-2541,Critical Access Hospitals,Government - Hospital District or Authority
+83691,CALIFORNIA HOSPITAL MEDICAL CENTER LA,1401 SOUTH GRAND AVENUE,LOS ANGELES,CA,90015,LOS ANGELES,(213) 748-2411,Acute Care Hospitals,Voluntary non-profit - Other
+45860,PUNXSUTAWNEY AREA HOSPITAL,81 HILLCREST DRIVE,PUNXSUTAWNEY,PA,15767,JEFFERSON,(814) 938-1800,Acute Care Hospitals,Voluntary non-profit - Private
+21338,Bayne-Jones ACH (Ft Polk),1585 3rd Street Fort Polk,Fort Polk,LA,71459,VERNON,(337) 531-3118,Acute Care - Department of Defense,Department of Defense
+64830,THE MONROE CLINIC,2005 5TH STREET,MONROE,WI,53566,GREEN,(608) 324-1000,Acute Care Hospitals,Voluntary non-profit - Private
+23599,GREATER BINGHAMTON HEALTH CENTER,425 ROBINSON ST,BINGHAMTON,NY,13901,BROOME,(607) 724-1391,Psychiatric,Government - Local
+36584,ELKHART GENERAL HOSPITAL,600 E BLVD,ELKHART,IN,46514,ELKHART,(574) 294-2621,Acute Care Hospitals,Government - Local
+88175,JACKSON PURCHASE MEDICAL CENTER,1099 MEDICAL CENTER CIRCLE,MAYFIELD,KY,42066,GRAVES,(270) 251-4585,Acute Care Hospitals,Government - Hospital District or Authority
+30424,LORING HOSPITAL,211 HIGHLAND AVENUE PO BOX 217,SAC CITY,IA,50583,SAC,(712) 662-7105,Critical Access Hospitals,Voluntary non-profit - Private
+85927,"BEACON BEHAVIORAL HOSPITAL- NEW ORLEANS, INC",14500 HAYNES BLVD,NEW ORLEANS,LA,70128,ORLEANS,(504) 210-0460,Psychiatric,Proprietary
+41862,ROOKS COUNTY HEALTH CENTER,1210 NORTH WASHINGTON,PLAINVILLE,KS,67663,ROOKS,(785) 434-4553,Critical Access Hospitals,Government - Hospital District or Authority
+37939,ROXBURY TREATMENT CENTER,601 ROXBURY ROAD,SHIPPENSBURG,PA,17257,CUMBERLAND,(717) 532-4217,Psychiatric,Proprietary
+40221,HANCOCK COUNTY HOSPITAL,1519 MAIN STREET HWY 33,SNEEDVILLE,TN,37869,HANCOCK,(423) 733-5001,Critical Access Hospitals,Voluntary non-profit - Private
+52252,SAINT LUKE'S EAST HOSPITAL,100 N E SAINT LUKE'S BOULEVARD,LEES SUMMIT,MO,64086,JACKSON,(816) 347-5000,Acute Care Hospitals,Voluntary non-profit - Private
+22372,CHI-ST VINCENT INFIRMARY,TWO ST VINCENT CIRCLE,LITTLE ROCK,AR,72205,PULASKI,(501) 552-3000,Acute Care Hospitals,Voluntary non-profit - Private
+45286,REGIONAL MEDICAL CENTER OF SAN JOSE,225 N JACKSON AVENUE,SAN JOSE,CA,95116,SANTA CLARA,(408) 259-5000,Acute Care Hospitals,Government - Federal
+30804,THOREK MEMORIAL HOSPITAL,850 W IRVING PARK RD,CHICAGO,IL,60613,COOK,(312) 525-6780,Acute Care Hospitals,Voluntary non-profit - Private
+21195,DELANO REGIONAL MEDICAL CENTER,1401 GARCES HIGHWAY,DELANO,CA,93215,KERN,(661) 725-4800,Acute Care Hospitals,Proprietary
+22141,ONECORE HEALTH,"1044 SW 44TH, SUITE 350",OKLAHOMA CITY,OK,73109,OKLAHOMA,(405) 631-3085,Acute Care Hospitals,Voluntary non-profit - Other
+44746,MERCY MEDICAL CTR,271 CAREW STREET,SPRINGFIELD,MA,1104,HAMPDEN,(413) 748-9000,Acute Care Hospitals,Voluntary non-profit - Private
+33327,ST JOSEPH MERCY OAKLAND,44405 WOODWARD AVE,PONTIAC,MI,48341,OAKLAND,(248) 858-3000,Acute Care Hospitals,Voluntary non-profit - Private
+60539,BAYLOR SCOTT AND WHITE MEDICAL CENTER CARROLLTON,4343 NORTH JOSEY LANE,CARROLLTON,TX,75010,DENTON,(972) 394-2255,Acute Care Hospitals,Proprietary
+27812,UP HEALTH SYSTEM - MARQUETTE,850 W BARAGA AVE,MARQUETTE,MI,49855,MARQUETTE,(906) 228-9440,Acute Care Hospitals,Government - Local
+91961,OVERLOOK MEDICAL CENTER,99 BEAUVOIR AVENUE,SUMMIT,NJ,7902,UNION,(908) 522-2000,Acute Care Hospitals,Voluntary non-profit - Other
+72078,BAPTIST MEDICAL CENTER-YAZOO,823 GRAND AVENUE,YAZOO CITY,MS,39194,YAZOO,(662) 746-2261,Critical Access Hospitals,Voluntary non-profit - Private
+32153,INOVA FAIR OAKS HOSPITAL,3600 JOSEPH SIEWICK DRIVE,FAIRFAX,VA,22033,FAIRFAX,(703) 391-4170,Acute Care Hospitals,Voluntary non-profit - Other
+35218,YUKON KUSKOKWIM DELTA REG HOSPITAL,PO BOX 287,BETHEL,AK,99559,BETHEL,(907) 543-6300,Acute Care Hospitals,Tribal
+58024,VERMILION BEHAVIORAL HEALTH SYSTEMS,2520 N UNIVERSITY AVENUE,LAFAYETTE,LA,70507,LAFAYETTE,(337) 234-5614,Psychiatric,Proprietary
+74300,STEPHENS COUNTY HOSPITAL,163 HOSPITAL DRIVE,TOCCOA,GA,30577,STEPHENS,(706) 282-4250,Acute Care Hospitals,Government - Hospital District or Authority
+65287,PHYSICIAN'S CARE SURGICAL HOSPITAL,454 ENTERPRISE DRIVE,ROYERSFORD,PA,19468,MONTGOMERY,(610) 495-4793,Acute Care Hospitals,Physician
+77649,SOUTHWEST MEDICAL CENTER,315 WEST 15TH STREET,LIBERAL,KS,67901,SEWARD,(620) 629-6291,Acute Care Hospitals,Government - Local
+61218,SAN LUKE'S MEMORIAL HOSPITAL INC,TITO CASTRO AVE #917,PONCE,PR,733,PONCE,(787) 844-2080,Acute Care Hospitals,Voluntary non-profit - Church
+51136,RIVERVIEW HOSPITAL,323 SOUTH MINNESOTA,CROOKSTON,MN,56716,POLK,(218) 281-9200,Critical Access Hospitals,Voluntary non-profit - Private
+38794,ANDERSON RMC SOUTH,1102 CONSTITUTION AVENUE,MERIDIAN,MS,39301,LAUDERDALE,(601) 484-3590,Acute Care Hospitals,Proprietary
+28494,MERIT HEALTH WOMEN'S HOSPITAL,1026 RIVER OAKS DRIVE,FLOWOOD,MS,39232,RANKIN,(601) 932-1000,Acute Care Hospitals,Proprietary
+42932,NORTHCREST MEDICAL CENTER,100 NORTHCREST DRIVE,SPRINGFIELD,TN,37172,ROBERTSON,(615) 384-2411,Acute Care Hospitals,Voluntary non-profit - Other
+90169,OSAGE BEACH CENTER FOR COGNITIVE DISORDERS,840 PASSOVER ROAD,OSAGE BEACH,MO,65065,CAMDEN,(573) 302-0319,Psychiatric,Proprietary
+25439,JOHN C STENNIS MEMORIAL HOSPITAL,14365 HIGHWAY 16 WEST,DE KALB,MS,39328,KEMPER,(769) 486-1000,Critical Access Hospitals,Voluntary non-profit - Private
+50428,NORRISTOWN STATE HOSPITAL,1001 STERIGERE STREET,NORRISTOWN,PA,19401,MONTGOMERY,(610) 313-1000,Psychiatric,Government - State
+44598,"SUMMIT SURGICAL, LLC",1818 EAST 23RD AVENUE,HUTCHINSON,KS,67502,RENO,(620) 662-6000,Acute Care Hospitals,Physician
+14861,COZAD COMMUNITY HOSPITAL,"P O BOX 108, 300 EAST 12TH ST",COZAD,NE,69130,DAWSON,(308) 784-2261,Critical Access Hospitals,Government - Hospital District or Authority
+72839,DELTA COUNTY MEMORIAL HOSPITAL,1501 E 3RD ST,DELTA,CO,81416,DELTA,(970) 874-7681,Acute Care Hospitals,Government - Local
+34593,HOUSTON METHODIST THE WOODLANDS HOSPITAL,17201 INTERSTATE 45 SOUTH,THE WOODLANDS,TX,77385,MONTGOMERY,(936) 270-2000,Acute Care Hospitals,Voluntary non-profit - Private
+41796,HARDIN MEMORIAL HOSPITAL,913 NORTH DIXIE AVENUE,ELIZABETHTOWN,KY,42701,HARDIN,(270) 737-1212,Acute Care Hospitals,Government - Local
+16466,ASCENSION STANDISH HOSPITAL,805 W CEDAR ST,STANDISH,MI,48658,ARENAC,(517) 846-4521,Critical Access Hospitals,Voluntary non-profit - Church
+62880,RIVERSIDE MEDICAL CENTER,1900 SOUTH MAIN ST,FRANKLINTON,LA,70438,WASHINGTON,(985) 795-4431,Critical Access Hospitals,Government - Hospital District or Authority
+56032,ATRIUM MEDICAL CENTER,ONE MEDICAL CENTER DRIVE,FRANKLIN,OH,45005,WARREN,(513) 420-5102,Acute Care Hospitals,Voluntary non-profit - Private
+79081,CONWAY MEDICAL CENTER,300 SINGLETON RIDGE ROAD,CONWAY,SC,29526,HORRY,(843) 347-8037,Acute Care Hospitals,Voluntary non-profit - Private
+87635,IRON COUNTY MEDICAL CENTER,301 NORTH HIGHWAY 21,PILOT KNOB,MO,63663,IRON,(573) 546-1260,Critical Access Hospitals,Government - Hospital District or Authority
+81784,METHODIST MANSFIELD MEDICAL CENTER,2700 E BROAD STREET,MANSFIELD,TX,76063,TARRANT,(682) 622-2059,Acute Care Hospitals,Voluntary non-profit - Private
+23176,CONFLUENCE HEALTH- WENATCHEE VALLEY HOSP & CLINICS,820 NORTH CHELAN AVENUE,WENATCHEE,WA,98801,CHELAN,(509) 663-8711,Acute Care Hospitals,Voluntary non-profit - Private
+90287,"OUR LADY OF LOURDES REGIONAL MEDICAL CENTER, INC",4801 AMBASSADOR CAFFERY PARKWAY,LAFAYETTE,LA,70508,LAFAYETTE,(337) 470-2100,Acute Care Hospitals,Voluntary non-profit - Private
+71763,GRINNELL REGIONAL MEDICAL CENTER,210 FOURTH AVENUE,GRINNELL,IA,50112,POWESHIEK,(641) 236-7511,Acute Care Hospitals,Voluntary non-profit - Private
+32212,MARSHFIELD MEDICAL CENTER,611 ST JOSEPH AVE,MARSHFIELD,WI,54449,WOOD,(715) 387-7850,Acute Care Hospitals,Voluntary non-profit - Church
+35317,WILMINGTON TREATMENT CENTER,2520 TROY DRIVE,WILMINGTON,NC,28401,NEW HANOVER,(910) 762-2727,Acute Care Hospitals,Voluntary non-profit - Private
+73468,LEWISGALE HOSPITAL ALLEGHANY,ONE ARH LANE - PO BOX 7,LOW MOOR,VA,24457,ALLEGHANY,(540) 862-6011,Acute Care Hospitals,Voluntary non-profit - Private
+81364,MARY HURLEY HOSPITAL,6 NORTH COVINGTON,COALGATE,OK,74538,COAL,(580) 927-2327,Critical Access Hospitals,Proprietary
+44889,UPSON REGIONAL MEDICAL CENTER,801 W GORDON STREET,THOMASTON,GA,30286,UPSON,(706) 647-8111,Acute Care Hospitals,Voluntary non-profit - Other
+42671,ST CATHERINE HOSPITAL,401 EAST SPRUCE,GARDEN CITY,KS,67846,FINNEY,(620) 272-2222,Acute Care Hospitals,Voluntary non-profit - Private
+78319,BRISTOL HOSPITAL,BREWSTER RD,BRISTOL,CT,6010,HARTFORD,(860) 585-3000,Acute Care Hospitals,Voluntary non-profit - Private
+92678,ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL AT RAHWAY,865 STONE ST,RAHWAY,NJ,7065,UNION,(732) 381-4200,Acute Care Hospitals,Voluntary non-profit - Private
+56286,PIEDMONT NEWTON HOSPITAL,5126 HOSPITAL DRIVE NE,COVINGTON,GA,30014,NEWTON,(770) 786-7053,Acute Care Hospitals,Voluntary non-profit - Private
+86743,ARROWHEAD BEHAVIORAL HEALTH,1725 TIMBER LINE ROAD,MAUMEE,OH,43537,LUCAS,(419) 891-9333,Psychiatric,Proprietary
+28483,HIGGINS GENERAL HOSPITAL,200 ALLEN MEMORIAL DRIVE,BREMEN,GA,30110,HARALSON,(770) 812-2000,Critical Access Hospitals,Government - Hospital District or Authority
+77449,RUSH COPLEY MEDICAL CENTER,2000 OGDEN AVENUE,AURORA,IL,60504,KANE,(630) 978-6200,Acute Care Hospitals,Voluntary non-profit - Private
+55763,UNITED HOSPITAL,333 NORTH SMITH AVENUE,SAINT PAUL,MN,55102,RAMSEY,(651) 241-8810,Acute Care Hospitals,Voluntary non-profit - Private
+58121,ST CROIX REGIONAL MEDICAL CENTER,235 STATE STREET,SAINT CROIX FALLS,WI,54024,POLK,(715) 483-0556,Critical Access Hospitals,Voluntary non-profit - Private
+44228,BOTHWELL REGIONAL HEALTH CENTER,601 E 14TH ST,SEDALIA,MO,65302,PETTIS,(660) 826-8833,Acute Care Hospitals,Government - Local
+57283,LOURDES COUNSELING CENTER,1175 CARONDELET DRIVE,RICHLAND,WA,99352,BENTON,(509) 943-9104,Psychiatric,Voluntary non-profit - Private
+18210,BEACHAM MEMORIAL HOSPITAL,205 N CHERRY STREET,MAGNOLIA,MS,39652,PIKE,(601) 783-2353,Acute Care Hospitals,Proprietary
+48191,CEDAR RIDGE BEHAVIORAL HOSPITAL,6501 NORTHEAST 50TH STREET,OKLAHOMA CITY,OK,73141,OKLAHOMA,(405) 605-6111,Psychiatric,Proprietary
+19708,KAISER FOUNDATION HOSPITAL - SOUTH SAN FRANCISCO,1200 EL CAMINO REAL,SOUTH SAN FRANCISCO,CA,94080,SAN MATEO,(650) 742-3200,Acute Care Hospitals,Voluntary non-profit - Private
+19845,HILLCREST HOSPITAL CUSHING,1027 EAST CHERRY STREET,CUSHING,OK,74023,PAYNE,(918) 225-2915,Acute Care Hospitals,Proprietary
+86385,CENTERPOINT MEDICAL CENTER,19600 EAST 39TH STREET,INDEPENDENCE,MO,64057,JACKSON,(816) 698-7000,Acute Care Hospitals,Proprietary
+29131,CJW MEDICAL CENTER,7101 JAHNKE ROAD,RICHMOND,VA,23235,CHESTERFIELD,(804) 320-3911,Acute Care Hospitals,Proprietary
+89571,ATHOL MEMORIAL HOSPITAL,2033 MAIN STREET,ATHOL,MA,1331,WORCESTER,(978) 249-3511,Critical Access Hospitals,Voluntary non-profit - Private
+79381,BRONSON LAKEVIEW HOSPITAL,408 HAZEN STREET,PAW PAW,MI,49079,VAN BUREN,(269) 657-1400,Critical Access Hospitals,Voluntary non-profit - Private
+81674,METRO-EAST SERVICES INC,1404 CROSS STREET,SHILOH,IL,62269,ST. CLAIR,(618) 607-1000,Acute Care Hospitals,Voluntary non-profit - Private
+47803,PAUL B HALL REGIONAL MEDICAL CENTER,625 JAMES S TRIMBLE BOULEVARD,PAINTSVILLE,KY,41240,JOHNSON,(606) 789-3511,Acute Care Hospitals,Proprietary
+18066,SAINT JOHN HOSPITAL,3500 SOUTH 4TH STREET,LEAVENWORTH,KS,66048,LEAVENWORTH,(913) 680-6000,Acute Care Hospitals,Voluntary non-profit - Other
+45877,AVENTURA HOSPITAL AND MEDICAL CENTER,20900 BISCAYNE BLVD,AVENTURA,FL,33180,MIAMI-DADE,(305) 682-7000,Acute Care Hospitals,Voluntary non-profit - Private
+28877,CHAMPLAIN VALLEY PHYSICIANS HOSPITAL MEDICAL CTR,75 BEEKMAN STREET,PLATTSBURGH,NY,12901,CLINTON,(518) 562-7767,Acute Care Hospitals,Voluntary non-profit - Private
+80460,GULF COAST REGIONAL MEDICAL CENTER,449 W 23RD ST,PANAMA CITY,FL,32405,BAY,(850) 769-8341,Acute Care Hospitals,Proprietary
+76708,WEST VALLEY MEDICAL CENTER,1717 ARLINGTON STREET,CALDWELL,ID,83605,CANYON,(208) 459-4641,Acute Care Hospitals,Proprietary
+93311,UVALDE MEMORIAL HOSPITAL,1025 GARNER FIELD ROAD,UVALDE,TX,78801,UVALDE,(830) 278-6251,Critical Access Hospitals,Government - Hospital District or Authority
+29190,CLEVELAND CLINIC INDIAN RIVER HOSPITAL,1000 36TH ST,VERO BEACH,FL,32960,INDIAN RIVER,(772) 567-4311,Acute Care Hospitals,Voluntary non-profit - Private
+38005,UT HEALTH EAST TEXAS CARTHAGE HOSPITAL,409 COTTAGE RD,CARTHAGE,TX,75633,PANOLA,(093) 693-3841,Acute Care Hospitals,Voluntary non-profit - Private
+90242,SOUTHEAST COLORADO HOSPITAL,373 E TENTH AVE,SPRINGFIELD,CO,81073,BACA,(719) 523-4501,Critical Access Hospitals,Government - Hospital District or Authority
+20030,"SAINT JOSEPH'S HOSPITAL OF ATLANTA, INC",5665 PEACHTREE DUNWOODY ROAD,ATLANTA,GA,30342,FULTON,(678) 843-5720,Acute Care Hospitals,Voluntary non-profit - Private
+46346,CEDAR CREEK HOSPITAL,101 WEST TOWNSEND ROAD,SAINT JOHNS,MI,48879,CLINTON,(989) 403-6022,Psychiatric,Proprietary
+80511,MERCY HOSPITAL ADA,430 NORTH MONTE VISTA,ADA,OK,74820,PONTOTOC,(580) 332-2323,Acute Care Hospitals,Voluntary non-profit - Private
+36385,SSM HEALTH SAINT JOSEPH HOSPITAL-LAKE SAINT LOUIS,100 MEDICAL PLAZA,LAKE SAINT LOUIS,MO,63367,ST. CHARLES,(636) 625-5200,Acute Care Hospitals,Voluntary non-profit - Church
+34145,SUN BEHAVIORAL DELAWARE LLC,21655 BIDEN AVENUE,GEORGETOWN,DE,19947,SUSSEX,(302) 448-8415,Psychiatric,Proprietary
+47580,SOUTH SHORE HOSPITAL,8012 SOUTH CRANDON AVENUE,CHICAGO,IL,60617,COOK,(773) 356-5000,Acute Care Hospitals,Voluntary non-profit - Private
+39911,FORBES HOSPITAL,2570 HAYMAKER ROAD,MONROEVILLE,PA,15146,ALLEGHENY,(412) 858-2000,Acute Care Hospitals,Voluntary non-profit - Private
+34217,COMMUNITY BEHAVIORAL HEALTH HOSPITAL ANNANDALE,400 ANNANDALE BOULEVARD,ANNANDALE,MN,55302,WRIGHT,(651) 259-3850,Psychiatric,Government - State
+15704,BIG SKY MEDICAL CENTER,334 TOWN CENTER AVE,BIG SKY,MT,59716,GALLATIN,(406) 995-6995,Acute Care Hospitals,Voluntary non-profit - Private
+75504,WASHINGTON HEALTH SYSTEM GREENE,350 BONAR AVENUE,WAYNESBURG,PA,15370,GREENE,(724) 627-2602,Acute Care Hospitals,Voluntary non-profit - Private
+16029,WINCHESTER HOSPITAL,41 HIGHLAND AVENUE,WINCHESTER,MA,1890,MIDDLESEX,(781) 729-9000,Acute Care Hospitals,Voluntary non-profit - Private
+16454,RIVER POINT BEHAVIORAL HEALTH,6300 BEACH BLVD,JACKSONVILLE,FL,32216,DUVAL,(904) 724-9202,Psychiatric,Proprietary
+11263,GRADY MEMORIAL HOSPITAL,561 WEST CENTRAL AVENUE,DELAWARE,OH,43015,DELAWARE,(740) 368-5145,Acute Care Hospitals,Voluntary non-profit - Private
+76238,DAY KIMBALL HOSPITAL,320 POMFRET STREET,PUTNAM,CT,6260,WINDHAM,(860) 928-6541,Acute Care Hospitals,Voluntary non-profit - Private
+10768,LARKIN COMMUNITY HOSPITAL BEHAVIORAL HEALTH SRVS,1201 N 37TH AVE,HOLLYWOOD,FL,33021,BROWARD,(954) 962-1355,Psychiatric,Proprietary
+68943,MEMORIAL HOSPITAL PEMBROKE,7800 SHERIDAN ST,PEMBROKE PINES,FL,33024,BROWARD,(954) 962-9650,Acute Care Hospitals,Government - Hospital District or Authority
+38373,FIRSTLIGHT HEALTH SYSTEM,301 SOUTH HIGHWAY 65,MORA,MN,55051,KANABEC,(320) 679-1212,Critical Access Hospitals,Government - Local
+24837,PARKVIEW NOBLE HOSPITAL,401 SAWYER RD,KENDALLVILLE,IN,46755,NOBLE,(260) 347-8700,Acute Care Hospitals,Voluntary non-profit - Private
+32710,RUSH FOUNDATION HOSPITAL,1314 19TH AVE,MERIDIAN,MS,39301,LAUDERDALE,(601) 483-0011,Acute Care Hospitals,Voluntary non-profit - Private
+28036,SOUTHERN COOS HOSPITAL & HEALTH CENTER,900 11TH STREET SE,BANDON,OR,97411,COOS,(541) 347-2426,Critical Access Hospitals,Government - Hospital District or Authority
+21311,ST JOSEPH REGIONAL HEALTH CENTER,2801 FRANCISCAN DR,BRYAN,TX,77802,BRAZOS,(979) 776-3912,Acute Care Hospitals,Voluntary non-profit - Private
+24532,ST ANTHONY HOSPITAL,11567 CANTERWOOD BOULEVARD NW,GIG HARBOR,WA,98332,PIERCE,(253) 530-2050,Acute Care Hospitals,Voluntary non-profit - Church
+15688,CARILION TAZEWELL COMMUNITY HOSPITAL,388 BEN BOLT AVENUE,TAZEWELL,VA,24651,TAZEWELL,(276) 988-8700,Acute Care Hospitals,Voluntary non-profit - Other
+56748,ADVOCATE CHRIST HOSPITAL & MEDICAL CENTER,4440 W 95TH STREET,OAK LAWN,IL,60453,COOK,(708) 684-8000,Acute Care Hospitals,Voluntary non-profit - Church
+11208,RICHMOND STATE HOSPITAL,498 NW 18TH ST,RICHMOND,IN,47374,WAYNE,(765) 966-0511,Psychiatric,Proprietary
+42701,CAPE COD & ISLANDS COMMUNITY MENTAL HEALTH CENTER,830 COUNTY ROAD,POCASSET,MA,2559,BARNSTABLE,(508) 563-2276,Psychiatric,Government - State
+38158,LOST RIVERS MEDICAL CENTER,551 HIGHLAND DRIVE,ARCO,ID,83213,BUTTE,(208) 252-7654,Critical Access Hospitals,Government - Hospital District or Authority
+84651,HOUSTON COUNTY COMMUNITY HOSPITAL,5001 EAST MAIN STREET,ERIN,TN,37061,HOUSTON,(931) 289-4211,Critical Access Hospitals,Government - Local
+28565,CHRISTUS MOTHER FRANCES HOSPITAL,800 EAST DAWSON,TYLER,TX,75701,SMITH,(903) 593-8441,Acute Care Hospitals,Voluntary non-profit - Private
+40998,CONWAY BEHAVIORAL HEALTH,2255 STURGIS ROAD,CONWAY,AR,72034,FAULKNER,(501) 205-0011,Psychiatric,Proprietary
+78402,WADLEY REGIONAL MEDICAL CENTER AT HOPE,2001 SOUTH MAIN,HOPE,AR,71801,HEMPSTEAD,(870) 722-3800,Acute Care Hospitals,Proprietary
+47863,COLISEUM MEDICAL CENTERS,350 HOSPITAL DRIVE,MACON,GA,31217,BIBB,(478) 765-7000,Acute Care Hospitals,Voluntary non-profit - Private
+77807,BAYFRONT HEALTH PUNTA GORDA,809 E MARION AVE,PUNTA GORDA,FL,33950,CHARLOTTE,(941) 639-3131,Acute Care Hospitals,Proprietary
+11012,SAN ANTONIO REGIONAL HOSPITAL,999 SAN BERNARDINO ROAD,UPLAND,CA,91786,SAN BERNARDINO,(714) 985-2811,Acute Care Hospitals,Voluntary non-profit - Other
+76032,SMYTH COUNTY COMMUNITY HOSPITAL,245 MEDICAL PARK DRIVE,MARION,VA,24354,SMYTH,(276) 378-1000,Acute Care Hospitals,Voluntary non-profit - Private
+90448,SOUTH TEXAS SPINE AND SURGICAL HOSPITAL,18600 NORTH HARDY OAK BLVD,SAN ANTONIO,TX,78258,BEXAR,(210) 404-0800,Acute Care Hospitals,Government - Hospital District or Authority
+53055,HARRISON COUNTY HOSPITAL,1141 HOSPITAL DR NW,CORYDON,IN,47112,HARRISON,(812) 738-4251,Critical Access Hospitals,Government - Local
+41079,ORTHOCOLORADO HOSPITAL AT ST ANTHONY MED CAMPUS,11650 WEST 2ND PLACE,LAKEWOOD,CO,80228,JEFFERSON,(720) 321-5000,Acute Care Hospitals,Proprietary
+66636,PROVIDENCE HOLY FAMILY HOSPITAL,5633 NORTH LIDGERWOOD,SPOKANE,WA,99208,SPOKANE,(509) 482-2450,Acute Care Hospitals,Voluntary non-profit - Private
+55054,SEATTLE CHILDREN'S HOSPITAL,"4800 SAND POINT WAY NE, PO BOX C-5371",SEATTLE,WA,98105,KING,(206) 987-2000,Childrens,Voluntary non-profit - Private
+93035,JEFF DAVIS HOSPITAL,163 SOUTH TALLAHASSEE STREET,HAZLEHURST,GA,31539,JEFF DAVIS,(912) 375-7781,Critical Access Hospitals,Government - Hospital District or Authority
+44109,FLOWERS HOSPITAL,4370 WEST MAIN STREET,DOTHAN,AL,36305,HOUSTON,(334) 793-5000,Acute Care Hospitals,Proprietary
+34107,MERCYONE OELWEIN MEDICAL CENTER,201 EIGHTH AVENUE SE,OELWEIN,IA,50662,FAYETTE,(319) 283-6000,Critical Access Hospitals,Voluntary non-profit - Church
+49293,CHARLES A DEAN MEMORIAL HOSPITAL,PO BOX 1129,GREENVILLE,ME,4441,PISCATAQUIS,(207) 695-5200,Critical Access Hospitals,Voluntary non-profit - Private
+89365,ATHENS LIMESTONE HOSPITAL,700 WEST MARKET STREET,ATHENS,AL,35611,LIMESTONE,(256) 233-9292,Acute Care Hospitals,Government - Hospital District or Authority
+64296,KAHI MOHALA,91-2301 FORT WEAVER ROAD,EWA BEACH,HI,96706,HONOLULU,(808) 671-8511,Psychiatric,Voluntary non-profit - Private
+34632,FOOTHILL REGIONAL MEDICAL CENTER,14662 NEWPORT AVE,TUSTIN,CA,92780,ORANGE,(714) 619-7700,Acute Care Hospitals,Proprietary
+85757,STEPHENS MEMORIAL HOSPITAL,181 MAIN STREET,NORWAY,ME,4268,OXFORD,(207) 743-5933,Critical Access Hospitals,Voluntary non-profit - Private
+20678,ABRAZO ARROWHEAD CAMPUS,18701 NORTH 67TH AVENUE,GLENDALE,AZ,85308,MARICOPA,(623) 561-1000,Acute Care Hospitals,Proprietary
+93939,STAR VALLEY MEDICAL CENTER,901 ADAMS STREET,AFTON,WY,83110,LINCOLN,(307) 885-5800,Critical Access Hospitals,Government - Hospital District or Authority
+38263,PALISADES MEDICAL CENTER,7600 RIVER RD,NORTH BERGEN,NJ,7047,HUDSON,(201) 854-5000,Acute Care Hospitals,Voluntary non-profit - Private
+43999,ST VINCENT ANDERSON REGIONAL HOSPITAL INC,2015 JACKSON ST,ANDERSON,IN,46016,MADISON,(765) 646-8373,Acute Care Hospitals,Voluntary non-profit - Private
+68034,BOWDLE HOSPITAL - CAH,8001 W 5TH  POST OFFICE BOX 556,BOWDLE,SD,57428,EDMUNDS,(605) 285-6146,Critical Access Hospitals,Government - Local
+20772,"COFFEYVILLE REGIONAL MEDICAL CENTER, INC",1400 W 4TH ST,COFFEYVILLE,KS,67337,MONTGOMERY,(620) 251-1200,Acute Care Hospitals,Government - Local
+36099,ALFRED I DUPONT HOSPITAL FOR CHILDREN,1600 ROCKLAND RD PO BOX 269,WILMINGTON,DE,19899,NEW CASTLE,(302) 651-4000,Childrens,Voluntary non-profit - Private
+69360,KAISER FOUNDATION HOSPITAL - BALDWIN PARK,1011 BALDWIN PARK BLVD,BALDWIN PARK,CA,91706,LOS ANGELES,(626) 851-1011,Acute Care Hospitals,Voluntary non-profit - Other
+44950,REGIONAL HEALTH SERVICES OF HOWARD COUNTY,235 8TH AVENUE WEST,CRESCO,IA,52136,HOWARD,(563) 547-2101,Critical Access Hospitals,Government - Local
+84921,EMANUEL MEDICAL CENTER,825 DELBON AVE,TURLOCK,CA,95382,STANISLAUS,(209) 667-4200,Acute Care Hospitals,Voluntary non-profit - Church
+85023,INDIANA UNIVERSITY HEALTH,1701 N SENATE BLVD,INDIANAPOLIS,IN,46202,MARION,(317) 962-5900,Acute Care Hospitals,Voluntary non-profit - Private
+56778,GLENBEIGH HEALTH SOURCES,2863 STATE ROUTE 45,ROCK CREEK,OH,44084,ASHTABULA,(440) 563-3400,Acute Care Hospitals,Voluntary non-profit - Private
+11955,ARKANSAS STATE HOSPITAL,305 S PALM STREET,LITTLE ROCK,AR,72205,PULASKI,(501) 686-9000,Psychiatric,Government - State
+23955,BROOKWOOD BAPTIST MEDICAL CENTER,2010 BROOKWOOD MEDICAL CENTER DRIVE,BIRMINGHAM,AL,35209,JEFFERSON,(205) 877-1000,Acute Care Hospitals,Proprietary
+32628,SSM HEALTH ST ANTHONY HOSPITAL - SHAWNEE,1102 W MACARTHUR,SHAWNEE,OK,74804,POTTAWATOMIE,(405) 878-8110,Acute Care Hospitals,Voluntary non-profit - Private
+30782,HENDERSON HOSPITAL,1050 WEST GALLERIA DRIVE,HENDERSON,NV,89011,CLARK,(318) 290-4395,Acute Care Hospitals,Proprietary
+54907,INDIAN PATH COMMUNITY HOSPITAL,2000 BROOKSIDE DR,KINGSPORT,TN,37660,SULLIVAN,(423) 431-1941,Acute Care Hospitals,Voluntary non-profit - Private
+24779,HOSPITAL MENONITA DE CAYEY,BO. RINCON SECTOR LAS LOMAS  KM.3.1 CARR 14,CAYEY,PR,737,CAYEY,(787) 535-1001,Acute Care Hospitals,Voluntary non-profit - Private
+89423,HILLCREST HOSPITAL HENRYETTA,2401 W MAIN,HENRYETTA,OK,74437,OKMULGEE,(918) 650-1511,Acute Care Hospitals,Proprietary
+93134,COVENANT HOSPITAL PLAINVIEW,2601 DIMMITT RD,PLAINVIEW,TX,79072,HALE,(806) 296-5531,Acute Care Hospitals,Voluntary non-profit - Private
+62785,LEHIGH VALLEY HOSPITAL - HAZLETON,700 EAST BROAD STREET,HAZLETON,PA,18201,LUZERNE,(570) 501-4000,Acute Care Hospitals,Government - Local
+25230,HOSPITAL METROPOLITANO DE LA MONTANA,CALLE ISAAC GONZALEZ ESQUINA LEDESMA,BDA NUEVA,PR,641,UTUADO,(787) 933-1100,Acute Care Hospitals,Proprietary
+42644,SIERRA VIEW MEDICAL CENTER,465 W PUTNAM AVE,PORTERVILLE,CA,93257,TULARE,(559) 784-1110,Acute Care Hospitals,Voluntary non-profit - Private
+67988,NYU LANGONE HOSPITALS,550 FIRST AVENUE,NEW YORK,NY,10016,NEW YORK,(212) 263-7300,Acute Care Hospitals,Voluntary non-profit - Private
+56314,EAST ORANGE GENERAL HOSPITAL,300 CENTRAL AVE,EAST ORANGE,NJ,7018,ESSEX,(973) 266-4401,Acute Care Hospitals,Voluntary non-profit - Private
+74774,KINGS COUNTY HOSPITAL CENTER,451 CLARKSON AVENUE,BROOKLYN,NY,11203,KINGS,(718) 245-3901,Acute Care Hospitals,Government - Local
+84215,LITTLE COLORADO MEDICAL CENTER,1501 NORTH WILLIAMSON AVENUE,WINSLOW,AZ,86047,NAVAJO,(928) 289-4691,Critical Access Hospitals,Voluntary non-profit - Private
+89326,AHMC ANAHEIM REGIONAL MEDICAL CENTER,1111 W LA PALMA AVENUE,ANAHEIM,CA,92801,ORANGE,(714) 774-1450,Acute Care Hospitals,Voluntary non-profit - Private
+56834,DENVER HEALTH MEDICAL CENTER,777 BANNOCK ST,DENVER,CO,80204,DENVER,(303) 602-4930,Acute Care Hospitals,Government - State
+47126,WILKES REGIONAL MEDICAL CENTER,1370 WEST D ST,NORTH WILKESBORO,NC,28659,WILKES,(336) 651-8100,Acute Care Hospitals,Government - Local
+48051,MCLEOD HEALTH CLARENDON,10 EAST HOSPITAL STREET,MANNING,SC,29102,CLARENDON,(803) 435-8463,Acute Care Hospitals,Voluntary non-profit - Private
+18934,GRANDE RONDE HOSPITAL,900 SUNSET DRIVE,LA GRANDE,OR,97850,UNION,(541) 963-8421,Critical Access Hospitals,Voluntary non-profit - Private
+31544,SUTTER LAKESIDE HOSPITAL,5176 HILL ROAD EAST,LAKEPORT,CA,95453,LAKE,(707) 262-5000,Critical Access Hospitals,Voluntary non-profit - Private
+27934,BOX BUTTE GENERAL HOSPITAL,"P O BOX 810, 2101 BOX BUTTE AVE",ALLIANCE,NE,69301,BOX BUTTE,(308) 762-6660,Critical Access Hospitals,Government - Local
+24037,SUN BEHAVIORAL HOUSTON,7601 FANNIN STREET,HOUSTON,TX,77054,HARRIS,(713) 795-5025,Psychiatric,Proprietary
+39513,MEMORIAL MEDICAL CENTER LIVINGSTON,1717 HWY 59 BYPASS,LIVINGSTON,TX,77351,POLK,(936) 327-4381,Acute Care Hospitals,Voluntary non-profit - Private
+14892,MERIT HEALTH WESLEY,5001 W HARDY ST,HATTIESBURG,MS,39402,LAMAR,(601) 268-8000,Acute Care Hospitals,Voluntary non-profit - Private
+33106,JAMAICA HOSPITAL MEDICAL CENTER,89TH AVENUE AND VAN WYCK EXPRESSWAY,JAMAICA,NY,11418,QUEENS,(718) 262-6000,Acute Care Hospitals,Voluntary non-profit - Private
+26459,HI-DESERT MEDICAL CENTER,6601 WHITE FEATHER ROAD,JOSHUA TREE,CA,92252,SAN BERNARDINO,(760) 366-3711,Acute Care Hospitals,Government - Hospital District or Authority
+74845,TEXAS HEALTH HARRIS METHODIST HOSPITAL CLEBURNE,201 WALLS DRIVE,CLEBURNE,TX,76033,JOHNSON,(817) 641-2551,Acute Care Hospitals,Voluntary non-profit - Church
+93920,DR DAN C TRIGG MEMORIAL HOSPITAL,301 EAST MIEL DE LUNA AVENUE,TUCUMCARI,NM,88401,QUAY,(575) 461-7007,Critical Access Hospitals,Voluntary non-profit - Private
+32135,CHILDRESS REGIONAL MEDICAL CENTER,HWY 83 NORTH,CHILDRESS,TX,79201,CHILDRESS,(940) 937-6371,Acute Care Hospitals,Government - Hospital District or Authority
+90546,SISTERSVILLE GENERAL HOSPITAL,314 SOUTH WELLS STREET,SISTERSVILLE,WV,26175,TYLER,(304) 652-2611,Critical Access Hospitals,Government - Local
+46969,PHILLIPS COUNTY HEALTH SYSTEMS,1150 STATE STREET,PHILLIPSBURG,KS,67661,PHILLIPS,(785) 543-5226,Critical Access Hospitals,Government - Local
+29805,OZARK HEALTH,2500 HIGHWAY 65 SOUTH,CLINTON,AR,72031,VAN BUREN,(501) 745-7000,Critical Access Hospitals,Voluntary non-profit - Private
+76192,BLOUNT MEMORIAL HOSPITAL,907 E LAMAR ALEXANDER PARKWAY,MARYVILLE,TN,37804,BLOUNT,(865) 983-7211,Acute Care Hospitals,Government - Local
+15351,MIDSTATE MEDICAL CENTER,435 LEWIS AVENUE,MERIDEN,CT,6450,NEW HAVEN,(203) 694-8200,Acute Care Hospitals,Voluntary non-profit - Private
+72921,GADSDEN REGIONAL MEDICAL CENTER,1007 GOODYEAR AVENUE,GADSDEN,AL,35903,ETOWAH,(256) 494-4000,Acute Care Hospitals,Proprietary
+14541,SHARE MEDICAL CENTER,800 SHARE DRIVE,ALVA,OK,73717,WOODS,(580) 327-2800,Critical Access Hospitals,Government - Hospital District or Authority
+51539,UNIVERSITY OF IOWA HOSPITAL & CLINICS,200 HAWKINS DRIVE,IOWA CITY,IA,52242,JOHNSON,(319) 356-1616,Acute Care Hospitals,Government - State
+89049,NORTHERN LIGHT ACADIA HOSPITAL,268 STILLWATER AVE,BANGOR,ME,4401,PENOBSCOT,(207) 973-6100,Psychiatric,Voluntary non-profit - Private
+24613,ADVOCATE SOUTH SUBURBAN HOSPITAL,17800 S KEDZIE AVE,HAZEL CREST,IL,60429,COOK,(708) 799-8000,Acute Care Hospitals,Voluntary non-profit - Church
+52690,ST LUKE'S MEDICAL CENTER,1800 EAST VAN BUREN STREET,PHOENIX,AZ,85006,MARICOPA,(602) 251-8156,Acute Care Hospitals,Proprietary
+58019,HEART HOSPITAL OF LAFAYETTE,1105 KALISTE SALOOM ROAD,LAFAYETTE,LA,70508,LAFAYETTE,(337) 521-1000,Acute Care Hospitals,Proprietary
+78622,"CORE INSTITUTE SPECIALTY HOSPITAL, THE",6501 NORTH 19TH AVENUE,PHOENIX,AZ,85015,MARICOPA,(602) 795-6020,Acute Care Hospitals,Physician
+72663,SUMMERSVILLE REGIONAL MEDICAL CENTER,400 FAIRVIEW HEIGHTS ROAD,SUMMERSVILLE,WV,26651,NICHOLAS,(304) 872-2891,Critical Access Hospitals,Government - Local
+93447,FILLMORE COMMUNITY HOSPITAL,674 SOUTH HIGHWAY 99,FILLMORE,UT,84631,MILLARD,(435) 743-5591,Critical Access Hospitals,Voluntary non-profit - Private
+63519,HARMON MEMORIAL HOSPITAL,400 EAST CHESTNUT STREET,HOLLIS,OK,73550,HARMON,(580) 688-3363,Critical Access Hospitals,Government - Hospital District or Authority
+66545,BHC WEST HILLS HOSPITAL,1240 E NINTH ST,RENO,NV,89512,WASHOE,(775) 323-0478,Psychiatric,Proprietary
+52872,ST FRANCIS HOSPITAL,7TH AND CLAYTON STS,WILMINGTON,DE,19805,NEW CASTLE,(302) 421-4100,Acute Care Hospitals,Voluntary non-profit - Private
+67847,NORTHERN LIGHT BLUE HILL MEMORIAL HOSPITAL,57 WATER STREET,BLUE HILL,ME,4614,HANCOCK,(207) 374-2836,Critical Access Hospitals,Voluntary non-profit - Private
+29409,FRANKLIN COUNTY MEMORIAL HOSPITAL,1406 Q ST,FRANKLIN,NE,68939,FRANKLIN,(308) 425-6221,Critical Access Hospitals,Government - Local
+85031,SPECTRUM HEALTH PENNOCK,1009 W GREEN ST,HASTINGS,MI,49058,BARRY,(269) 945-3451,Critical Access Hospitals,Voluntary non-profit - Other
+47887,SAMARITAN HOSPITAL-ST MARY'S CAMPUS,1300 MASSACHUSETTS AVENUE,TROY,NY,12180,RENSSELAER,(518) 268-5000,Acute Care Hospitals,Voluntary non-profit - Private
+35995,MARIAN CENTER,451 EAST BISHOP FEDERAL LANE,SALT LAKE CITY,UT,84115,SALT LAKE,(801) 468-6856,Psychiatric,Proprietary
+60125,MUSC HEALTH CHESTER MEDICAL CENTER,1 MEDICAL PARK DRIVE,CHESTER,SC,29706,CHESTER,(803) 581-3151,Acute Care Hospitals,Proprietary
+83032,MARTIN COUNTY HOSPITAL DISTRICT,600 E INTERSTATE 20     PO BOX 640,STANTON,TX,79782,MARTIN,(432) 756-3345,Critical Access Hospitals,Government - Hospital District or Authority
+11836,TRI COUNTY HOSPITAL,415 JEFFERSON STREET NORTH,WADENA,MN,56482,WADENA,(218) 631-3510,Critical Access Hospitals,Voluntary non-profit - Other
+65883,CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER,3333 BURNET AVENUE,CINCINNATI,OH,45229,HAMILTON,(513) 636-3333,Childrens,Voluntary non-profit - Private
+56798,ELLIS HOSPITAL,1101 NOTT STREET,SCHENECTADY,NY,12308,SCHENECTADY,(518) 243-4000,Acute Care Hospitals,Voluntary non-profit - Private
+14972,ASPIRUS KEWEENAW HOSPITAL,205 OSCEOLA,LAURIUM,MI,49913,HOUGHTON,(906) 337-6500,Critical Access Hospitals,Voluntary non-profit - Private
+92183,WIREGRASS MEDICAL CENTER,1200 W MAPLE AVENUE,GENEVA,AL,36340,GENEVA,(334) 684-3655,Acute Care Hospitals,Government - Hospital District or Authority
+31656,MARION GENERAL HOSPITAL,1000 MCKINLEY PARK DRIVE,MARION,OH,43302,MARION,(740) 383-8400,Acute Care Hospitals,Voluntary non-profit - Private
+13578,OHIO HOSPITAL FOR PSYCHIATRY,880 GREENLAWN AVENUE,COLUMBUS,OH,43223,FRANKLIN,(614) 449-9664,Psychiatric,Proprietary
+92125,HAHNEMANN UNIVERSITY HOSPITAL,230 NORTH BROAD STREET,PHILADELPHIA,PA,19102,PHILADELPHIA,(215) 762-7000,Acute Care Hospitals,Proprietary
+49144,ROCKLAND CHILDREN'S PSYCHIATRIC CENTER,2 FIRST AVE,ORANGEBURG,NY,10962,ROCKLAND,(845) 680-8004,Psychiatric,Government - State
+25157,ATOKA COUNTY MEDICAL CENTER,1590 WEST LIBERTY ROAD,ATOKA,OK,74525,ATOKA,(580) 889-3333,Critical Access Hospitals,Government - Hospital District or Authority
+51123,WEISER MEMORIAL HOSPITAL,645 EAST 5TH STREET,WEISER,ID,83672,WASHINGTON,(208) 549-0370,Critical Access Hospitals,Government - Hospital District or Authority
+89879,BYRD REGIONAL HOSPITAL,1020 FERTITTA BLVD,LEESVILLE,LA,71446,VERNON,(337) 239-9041,Acute Care Hospitals,Proprietary
+85236,SHRINERS HOSPITAL FOR CHILDREN-PORTLAND,3101 SW SAM JACKSON PARK ROAD,PORTLAND,OR,97239,MULTNOMAH,(971) 544-3312,Childrens,Voluntary non-profit - Private
+79039,GARRISON MEMORIAL HOSPITAL,407 3RD AVE SE,GARRISON,ND,58540,MCLEAN,(701) 463-2275,Critical Access Hospitals,Voluntary non-profit - Church
+79298,TROY COMMUNITY HOSPITAL,275 GUTHRIE DRIVE,TROY,PA,16947,BRADFORD,(570) 297-2121,Critical Access Hospitals,Voluntary non-profit - Private
+45477,WOODHULL MEDICAL & MENTAL HEALTH CENTER,760 BROADWAY,BROOKLYN,NY,11206,KINGS,(718) 963-8100,Acute Care Hospitals,Government - Local
+14558,Blanchfield ACH (FT Campbell),650 Joel Drive,Fort Campbell,KY,42223,CHRISTIAN,(270) 798-8400,Acute Care - Department of Defense,Department of Defense
+76553,IU HEALTH JAY,500 W VOTAW ST,PORTLAND,IN,47371,JAY,(260) 726-7131,Critical Access Hospitals,Government - Local
+30538,ROCKEFELLER UNIVERSITY HOSPITAL,1230 YORK AVENUE,NEW YORK,NY,10021,NEW YORK,(212) 570-8000,Acute Care Hospitals,Voluntary non-profit - Private
+28135,NORTHERN NEVADA MEDICAL CENTER,2375 E PRATER WAY,SPARKS,NV,89434,WASHOE,(775) 331-7000,Acute Care Hospitals,Proprietary
+69329,BAYPOINTE BEHAVIORAL HEALTH,5800 SOUTHLAND DRIVE,MOBILE,AL,36693,MOBILE,(251) 662-7998,Psychiatric,Voluntary non-profit - Other
+90151,ST JOSEPH'S HOSPITAL,12866 TROXLER AVENUE,HIGHLAND,IL,62249,MADISON,(618) 651-2600,Critical Access Hospitals,Voluntary non-profit - Church
+16829,UPMC ST MARGARET,815 FREEPORT ROAD,PITTSBURGH,PA,15215,ALLEGHENY,(412) 784-4000,Acute Care Hospitals,Voluntary non-profit - Private
+15857,"COMMUNITY MEMORIAL HOSPITAL, INC",150 BROAD STREET,HAMILTON,NY,13346,MADISON,(315) 824-1100,Critical Access Hospitals,Voluntary non-profit - Private
+18378,BAPTIST MEDICAL CENTER - NASSAU,1250 S 18TH ST,FERNANDINA BEACH,FL,32034,NASSAU,(904) 321-3500,Acute Care Hospitals,Voluntary non-profit - Private
+15699,CORNING HOSPITAL,1 GUTHRIE DRIVE,CORNING,NY,14830,STEUBEN,(607) 937-7200,Acute Care Hospitals,Voluntary non-profit - Private
+41619,EMANATE HEALTH INTER-COMMUNITY HOSPITAL,210 W  SAN BERNARDINO ROAD,COVINA,CA,91723,LOS ANGELES,(626) 814-2468,Acute Care Hospitals,Proprietary
+79800,ST MARY'S HEALTHCARE,427 GUY PARK AVENUE,AMSTERDAM,NY,12010,MONTGOMERY,(518) 841-7101,Acute Care Hospitals,Voluntary non-profit - Private
+75374,UPMC BEDFORD MEMORIAL,10455 LINCOLN HIGHWAY,EVERETT,PA,15537,BEDFORD,(814) 623-6161,Acute Care Hospitals,Voluntary non-profit - Private
+49054,ST LUKES HOSPITAL,915 EAST 1ST STREET,DULUTH,MN,55805,ST. LOUIS,(218) 249-5555,Acute Care Hospitals,Voluntary non-profit - Private
+51942,TENNOVA HEALTHCARE-LAFOLLETT MEDICAL CENTER,923 EAST CENTRAL AVENUE,LA FOLLETTE,TN,37766,CAMPBELL,(423) 907-1200,Acute Care Hospitals,Voluntary non-profit - Church
+16328,NORTH SHORE UNIVERSITY HOSPITAL,300 COMMUNITY DRIVE,MANHASSET,NY,11030,NASSAU,(516) 562-0100,Acute Care Hospitals,Voluntary non-profit - Private
+30525,SANFORD BEMIDJI MEDICAL CENTER,1300 ANNE ST NW,BEMIDJI,MN,56601,BELTRAMI,(218) 751-5430,Acute Care Hospitals,Voluntary non-profit - Private
+89838,MARY BRECKINRIDGE ARH HOSPITAL,130 KATE IRELAND DRIVE,HYDEN,KY,41749,LESLIE,(606) 672-2901,Critical Access Hospitals,Voluntary non-profit - Private
+86331,ST BERNARDS MEDICAL CENTER,225 E JACKSON,JONESBORO,AR,72401,CRAIGHEAD,(870) 972-4100,Acute Care Hospitals,Voluntary non-profit - Private
+65192,ASCENSION SACRED HEART PENSACOLA,5151 N 9TH AVE,PENSACOLA,FL,32504,ESCAMBIA,(850) 416-7000,Acute Care Hospitals,Voluntary non-profit - Private
+77826,UNITY MEDICAL CENTER,481 INTERSTATE DRIVE,MANCHESTER,TN,37355,COFFEE,(931) 728-6354,Acute Care Hospitals,Physician
+73736,LAFAYETTE REGIONAL HEALTH CENTER,1500 STATE STREET,LEXINGTON,MO,64067,LAFAYETTE,(660) 259-2203,Critical Access Hospitals,Proprietary
+32004,GARFIELD MEDICAL CENTER,525 N GARFIELD AVE,MONTEREY PARK,CA,91754,LOS ANGELES,(626) 573-2222,Acute Care Hospitals,Proprietary
+78677,STANFORD HEALTH CARE,300 PASTEUR DRIVE,STANFORD,CA,94305,SANTA CLARA,(650) 723-5708,Acute Care Hospitals,Voluntary non-profit - Private
+24436,ORTHONEBRASKA HOSPITAL,2808 SOUTH 143RD PLZ,OMAHA,NE,68144,DOUGLAS,(402) 609-1600,Acute Care Hospitals,Physician
+50819,ASPIRE HEALTH PARTNERS,1800 MERCY DR,ORLANDO,FL,32808,ORANGE,(407) 875-3700,Psychiatric,Voluntary non-profit - Private
+71138,UPMC PRESBYTERIAN SHADYSIDE,200 LOTHROP STREET,PITTSBURGH,PA,15213,ALLEGHENY,(412) 647-8788,Acute Care Hospitals,Voluntary non-profit - Private
+63626,BAPTIST HEALTH MEDICAL CENTER-LITTLE ROCK,9601 INTERSTATE,LITTLE ROCK,AR,72205,PULASKI,(501) 202-2000,Acute Care Hospitals,Voluntary non-profit - Private
+32164,TEXAS HEALTH HEART & VASCULAR HOSPITAL ARLINGTON,811 WRIGHT STREET,ARLINGTON,TX,76012,TARRANT,(817) 960-3500,Acute Care Hospitals,Proprietary
+89944,GOVE COUNTY MEDICAL CENTER,520 WEST 5TH STREET,QUINTER,KS,67752,GOVE,(785) 754-3341,Critical Access Hospitals,Voluntary non-profit - Other
+24080,PUTNAM HOSPITAL CENTER,670 STONELEIGH AVENUE,CARMEL,NY,10512,PUTNAM,(914) 279-5711,Acute Care Hospitals,Voluntary non-profit - Private
+68091,ASSURANCE HEALTH PSYCHIATRIC HOSPITAL,900 NORTH HIGH SCHOOL ROAD,INDIANAPOLIS,IN,46214,MARION,(317) 982-3715,Psychiatric,Proprietary
+65550,MH ST ELIZABETH BOARDMAN HOSPITAL,8401 MARKET STREET,BOARDMAN,OH,44512,MAHONING,(330) 729-2929,Acute Care Hospitals,Voluntary non-profit - Church
+66009,OUR LADY OF FATIMA HOSPITAL,200 HIGH SERVICE AVENUE,NORTH PROVIDENCE,RI,2904,PROVIDENCE,(401) 456-3000,Acute Care Hospitals,Proprietary
+59050,LA PAZ REGIONAL HOSPITAL,1200 WEST MOHAVE ROAD,PARKER,AZ,85344,LAPAZ,(928) 669-9201,Critical Access Hospitals,Voluntary non-profit - Private
+57252,NORTHEASTERN VERMONT REGIONAL HOSPITAL,1315 HOSPITAL DRIVE,SAINT JOHNSBURY,VT,5819,CALEDONIA,(802) 748-7400,Critical Access Hospitals,Voluntary non-profit - Private
+47107,NORTHRIDGE HOSPITAL MEDICAL CENTER,18300 ROSCOE BLVD,NORTHRIDGE,CA,91325,LOS ANGELES,(818) 885-8500,Acute Care Hospitals,Voluntary non-profit - Private
+58436,SAINT ANTHONY MEDICAL CENTER,5666 EAST STATE STREET,ROCKFORD,IL,61108,WINNEBAGO,(815) 226-2000,Acute Care Hospitals,Voluntary non-profit - Church
+59385,METHODIST HEALTHCARE - OLIVE BRANCH HOSPITAL,4250 BETHEL ROAD,OLIVE BRANCH,MS,38654,DE SOTO,(662) 932-9000,Acute Care Hospitals,Voluntary non-profit - Private
+45404,EAST COOPER MEDICAL CENTER,2000 HOSPITAL DR,MOUNT PLEASANT,SC,29464,CHARLESTON,(843) 881-0100,Acute Care Hospitals,Proprietary
+56223,JACKSON MEDICAL CENTER,220 HOSPITAL DRIVE,JACKSON,AL,36545,CLARKE,(251) 246-9021,Acute Care Hospitals,Proprietary
+30417,COOPER COUNTY COMMUNITY HOSPITAL,17651 B HWY,BOONVILLE,MO,65233,COOPER,(660) 882-4100,Acute Care Hospitals,Voluntary non-profit - Other
+70661,CARNEGIE TRI-COUNTY MUNICIPAL HOSPITAL,102 NORTH BROADWAY,CARNEGIE,OK,73015,CADDO,(580) 654-1050,Critical Access Hospitals,Government - Hospital District or Authority
+18216,HARLINGEN MEDICAL CENTER,5501 SOUTH EXPRESSWAY 77,HARLINGEN,TX,78550,CAMERON,(956) 365-1000,Acute Care Hospitals,Proprietary
+70731,LAKE CUMBERLAND REGIONAL HOSPITAL,305 LANGDON STREET,SOMERSET,KY,42503,PULASKI,(606) 679-7441,Acute Care Hospitals,Proprietary
+30814,UPMC SUSQUEHANNA SOLDIERS & SAILORS,32-36 CENTRAL AVENUE,WELLSBORO,PA,16901,TIOGA,(570) 724-1631,Critical Access Hospitals,Voluntary non-profit - Private
+52612,NORTHERN INYO HOSPITAL,150 PIONEER LANE,BISHOP,CA,93514,INYO,(760) 873-5811,Critical Access Hospitals,Government - Hospital District or Authority
+76524,HCA HOUSTON HEALTHCARE KINGWOOD,22999 US HWY 59,KINGWOOD,TX,77325,HARRIS,(281) 359-7500,Acute Care Hospitals,Proprietary
+32316,MAYO CLINIC HOSPITAL ROCHESTER,1216 SECOND STREET SOUTHWEST,ROCHESTER,MN,55902,OLMSTED,(507) 255-1991,Acute Care Hospitals,Voluntary non-profit - Church
+58704,MAPLE GROVE HOSPITAL,9875 HOSPITAL DRIVE,MAPLE GROVE,MN,55369,HENNEPIN,(763) 581-1000,Acute Care Hospitals,Voluntary non-profit - Private
+43237,MARTIN GENERAL HOSPITAL,310 S MCCASKEY RD P O BOX 1128,WILLIAMSTON,NC,27892,MARTIN,(252) 809-6179,Acute Care Hospitals,Government - Local
+68691,DELL CHILDREN'S MEDICAL CENTER OF CENTRAL TEXAS,4900 MUELLER BLVD,AUSTIN,TX,78723,TRAVIS,(512) 324-0000,Childrens,Voluntary non-profit - Private
+17037,TERREBONNE GENERAL MEDICAL CENTER,8166 MAIN STREET,HOUMA,LA,70360,TERREBONNE,(985) 873-4141,Acute Care Hospitals,Government - Hospital District or Authority
+86970,TRENTON PSYCHIATRIC HOSP,STATION A,TRENTON,NJ,8625,MERCER,(609) 633-1586,Psychiatric,Government - State
+52894,COMMUNITY BEHAVIORAL HEALTH HOSPITAL ROCHESTER,251 WOOD LAKE DRIVE SOUTHEAST,ROCHESTER,MN,55904,OLMSTED,(507) 206-2561,Psychiatric,Government - State
+68141,ORANGE REGIONAL MEDICAL CENTER,707 EAST MAIN STREET,MIDDLETOWN,NY,10940,ORANGE,(845) 343-2424,Acute Care Hospitals,Voluntary non-profit - Private
+19330,ADVENTHEALTH FISH MEMORIAL,1055 SAXON BLVD,ORANGE CITY,FL,32763,VOLUSIA,(386) 917-5000,Acute Care Hospitals,Voluntary non-profit - Church
+93459,BAYFRONT HEALTH - ST PETERSBURG,701 6TH ST S,SAINT PETERSBURG,FL,33701,PINELLAS,(727) 823-1234,Acute Care Hospitals,Voluntary non-profit - Private
+57570,PARKWOOD BEHAVIORAL HEALTH SYSTEM,8135 GOODMAN ROAD,OLIVE BRANCH,MS,38654,DE SOTO,(662) 895-4900,Psychiatric,Proprietary
+26194,CAMERON MEMORIAL COMMUNITY HOSPITAL INC,416 E MAUMEE ST,ANGOLA,IN,46703,STEUBEN,(260) 665-2141,Critical Access Hospitals,Voluntary non-profit - Private
+59574,UP HEALTH SYSTEM PORTAGE,500 CAMPUS DRIVE,HANCOCK,MI,49930,HOUGHTON,(906) 483-1000,Acute Care Hospitals,Voluntary non-profit - Other
+66939,CABINET PEAKS MEDICAL CENTER,209 HEALTH PARK DR,LIBBY,MT,59923,LINCOLN,(406) 293-0100,Critical Access Hospitals,Voluntary non-profit - Private
+58680,PRISMA HEALTH OCONEE MEMORIAL HOSPITAL,102B OMNI DR,SENECA,SC,29672,OCONEE,(864) 482-3100,Acute Care Hospitals,Voluntary non-profit - Private
+10718,SUTTER SANTA ROSA REGIONAL HOSPITAL,30 MARK WEST SPRINGS ROAD,SANTA ROSA,CA,95403,SONOMA,(707) 576-4000,Acute Care Hospitals,Voluntary non-profit - Other
+57740,FOUR WINDS,800 CROSS RIVER RD,KATONAH,NY,10536,WESTCHESTER,(914) 763-8151,Psychiatric,Proprietary
+74796,DEER LODGE MEDICAL CENTER,1100 HOLLENBACK LN,DEER LODGE,MT,59722,POWELL,(406) 846-2212,Critical Access Hospitals,Voluntary non-profit - Private
+22533,MULTICARE VALLEY HOSPITAL,12606 EAST MISSION AVENUE,SPOKANE,WA,99216,SPOKANE,(509) 924-6650,Acute Care Hospitals,Voluntary non-profit - Private
+78594,MARGARETVILLE MEMORIAL HOSPITAL,42084 STATE HIGHWAY 28,MARGARETVILLE,NY,12455,DELAWARE,(845) 586-2631,Critical Access Hospitals,Voluntary non-profit - Private
+90589,UNIVERSITY BEHAVIORAL HEALTH,2026 WEST UNIVERSITY DRIVE,DENTON,TX,76201,DENTON,(940) 320-8100,Psychiatric,Government - State
+81524,WESTERN STATE HOSPITAL,1301 RICHMOND ROAD,STAUNTON,VA,24402,STAUNTON CITY,(540) 332-8000,Psychiatric,Government - State
+43345,LINCOLN COUNTY MEDICAL CENTER,211 SUDDERTH DRIVE,RUIDOSO,NM,88345,LINCOLN,(575) 257-8200,Critical Access Hospitals,Voluntary non-profit - Private
+81205,HEART OF AMERICA MEDICAL CENTER,800 S MAIN AVE,RUGBY,ND,58368,PIERCE,(701) 776-5261,Critical Access Hospitals,Voluntary non-profit - Private
+83551,CENTERSTONE OF FLORIDA,2020 26TH AVE E,BRADENTON,FL,34208,MANATEE,(941) 782-4299,Psychiatric,Voluntary non-profit - Private
+30789,JERSEY CITY MEDICAL CENTER,355 GRAND STREET,JERSEY CITY,NJ,7302,HUDSON,(201) 915-2000,Acute Care Hospitals,Voluntary non-profit - Private
+81835,MEMORIAL HOSPITAL,1401 WEST LOCUST,STILWELL,OK,74960,ADAIR,(918) 696-3101,Acute Care Hospitals,Voluntary non-profit - Private
+42879,AMERY HOSPITAL & CLINIC,265 GRIFFIN STREET EAST,AMERY,WI,54001,POLK,(715) 268-0300,Critical Access Hospitals,Voluntary non-profit - Private
+29287,HARRIS REGIONAL HOSPITAL,68 HOSPITAL RD,SYLVA,NC,28779,JACKSON,(828) 586-7000,Acute Care Hospitals,Proprietary
+34767,EUCLID HOSPITAL,18901 LAKE SHORE BOULEVARD,EUCLID,OH,44119,CUYAHOGA,(216) 531-9000,Acute Care Hospitals,Voluntary non-profit - Other
+17842,PROVIDENCE ALASKA MEDICAL CENTER,3200 PROVIDENCE DRIVE,ANCHORAGE,AK,99508,ANCHORAGE,(907) 562-2211,Acute Care Hospitals,Voluntary non-profit - Church
+35454,GOOD SAMARITAN HOSPITAL,375 DIXMYTH AVENUE,CINCINNATI,OH,45220,HAMILTON,(513) 862-2646,Acute Care Hospitals,Voluntary non-profit - Church
+92768,GLENDALE MEM HOSPITAL & HLTH CENTER,1420 S CENTRAL AVE,GLENDALE,CA,91204,LOS ANGELES,(818) 502-1900,Acute Care Hospitals,Voluntary non-profit - Private
+56532,CHILDREN'S HEALTHCARE OF ATLANTA AT EGLESTON,"1405 CLIFTON ROAD, NE",ATLANTA,GA,30322,DE KALB,(404) 785-6101,Childrens,Voluntary non-profit - Private
+76944,CHI HEALTH NEBRASKA HEART,7500 SOUTH 91ST ST,LINCOLN,NE,68526,LANCASTER,(402) 327-2700,Acute Care Hospitals,Voluntary non-profit - Private
+46332,"PATHWAYS OF TENNESSEE, INC",238 SUMMAR DR,JACKSON,TN,38301,MADISON,(731) 935-8200,Psychiatric,Voluntary non-profit - Private
+10728,RUSSELL COUNTY HOSPITAL,153 DOWELL ROAD,RUSSELL SPRINGS,KY,42642,RUSSELL,(270) 866-4141,Critical Access Hospitals,Government - Local
+46842,OTHELLO COMMUNITY HOSPITAL,315 NORTH 14TH AVENUE,OTHELLO,WA,99344,ADAMS,(509) 488-2636,Critical Access Hospitals,Government - Hospital District or Authority
+72420,BOURBON COMMUNITY HOSPITAL,9 LINVILLE DRIVE,PARIS,KY,40361,BOURBON,(859) 987-3600,Acute Care Hospitals,Proprietary
+29338,PRESENCE SAINT FRANCIS HOSPITAL,355 RIDGE AVE,EVANSTON,IL,60202,COOK,(847) 316-4000,Acute Care Hospitals,Voluntary non-profit - Church
+44887,BLACKWELL REGIONAL HOSPITAL,710 SOUTH 13TH STREET,BLACKWELL,OK,74631,KAY,(580) 363-2311,Acute Care Hospitals,Voluntary non-profit - Private
+58028,CANYON RIDGE HOSPITAL,5353 G STREET,CHINO,CA,91710,SAN BERNARDINO,(909) 590-3700,Psychiatric,Proprietary
+31822,SAMARITAN PACIFIC COMMUNITY HOSPITAL,930 SW ABBEY STREET,NEWPORT,OR,97365,LINCOLN,(541) 265-2244,Critical Access Hospitals,Voluntary non-profit - Private
+28774,MEDICAL CENTER OF LEWISVILLE,500 WEST MAIN STREET,LEWISVILLE,TX,75057,DENTON,(972) 420-1000,Acute Care Hospitals,Voluntary non-profit - Private
+25746,WELLBRIDGE HEALTHCARE OF PLANO,4301 MAPLESHADE LANE,PLANO,TX,75093,COLLIN,(972) 596-5445,Psychiatric,Proprietary
+40902,UH GEAUGA MEDICAL CENTER,13207 RAVENNA RD,CHARDON,OH,44024,GEAUGA,(440) 269-6000,Acute Care Hospitals,Voluntary non-profit - Private
+60642,VIRGINIA GAY HOSPITAL,502 NORTH 9TH AVENUE,VINTON,IA,52349,BENTON,(319) 472-6200,Critical Access Hospitals,Voluntary non-profit - Private
+20983,JOHNSON MEMORIAL HOSPITAL,1125 W JEFFERSON ST,FRANKLIN,IN,46131,JOHNSON,(317) 736-3300,Acute Care Hospitals,Government - Local
+59484,GEISINGER-BLOOMSBURG HOSPITAL,549 EAST FAIR STREET,BLOOMSBURG,PA,17815,COLUMBIA,(570) 387-2100,Acute Care Hospitals,Voluntary non-profit - Private
+36637,BIENVILLE MEDICAL CENTER,1175 PINE STREET,ARCADIA,LA,71001,BIENVILLE,(318) 263-4700,Critical Access Hospitals,Proprietary
+38117,NORTON COUNTY HOSPITAL,102 E HOLME STREET,NORTON,KS,67654,NORTON,(785) 877-3351,Critical Access Hospitals,Government - Local
+45005,FORT SANDERS REGIONAL MEDICAL CENTER,1901 W CLINCH AVE,KNOXVILLE,TN,37916,KNOX,(865) 541-1101,Acute Care Hospitals,Voluntary non-profit - Private
+12718,MERCYONE CLINTON MEDICAL CENTER,1410 NORTH 4TH STREET,CLINTON,IA,52732,CLINTON,(563) 244-5555,Acute Care Hospitals,Voluntary non-profit - Private
+56630,L A DOWNTOWN MEDICAL CENTER,1711 WEST TEMPLE STREET,LOS ANGELES,CA,90026,LOS ANGELES,(213) 989-6123,Acute Care Hospitals,Proprietary
+58785,KENNEDY KRIEGER INSTITUTE,707 NORTH  BROADWAY,BALTIMORE,MD,21205,BALTIMORE CITY,(443) 923-9301,Childrens,Voluntary non-profit - Private
+94550,SOUTHWEST MS REGIONAL MEDICAL CENTER,215 MARION AV BOX 1307,MCCOMB,MS,39649,PIKE,(601) 249-5500,Acute Care Hospitals,Government - Local
+55613,FOUNTAIN VALLEY REGIONAL HOSPITAL & MEDICAL CENTER,17100 EUCLID STREET,FOUNTAIN VALLEY,CA,92708,ORANGE,(714) 966-7200,Acute Care Hospitals,Proprietary
+53989,UNITED MEDICAL CENTER,1310 SOUTHERN AVENUE  SE,WASHINGTON,DC,20032,THE DISTRICT,(202) 574-6611,Acute Care Hospitals,Proprietary
+52752,HILTON HEAD REGIONAL MEDICAL CENTER,25 HOSPITAL CENTER BLVD,HILTON HEAD ISLAND,SC,29925,BEAUFORT,(843) 681-6122,Acute Care Hospitals,Proprietary
+88155,FLAGLER HOSPITAL,400 HEALTH PARK BLVD,SAINT AUGUSTINE,FL,32086,ST. JOHNS,(904) 819-4426,Acute Care Hospitals,Voluntary non-profit - Private
+61318,UNIVERSITY OF MD MEDICAL CENTER MIDTOWN CAMPUS,827 LINDEN AVENUE,BALTIMORE,MD,21201,BALTIMORE CITY,(410) 225-8996,Acute Care Hospitals,Voluntary non-profit - Other
+70714,MERCY MEDICAL CENTER,1320 MERCY DRIVE NW,CANTON,OH,44708,STARK,(330) 489-1080,Acute Care Hospitals,Voluntary non-profit - Private
+70581,ST ELIZABETH HOSPITAL,1450 BATTERSBY AVENUE,ENUMCLAW,WA,98022,KING,(360) 825-2505,Critical Access Hospitals,Voluntary non-profit - Church
+94260,HAVEN BEHAVIORAL HOSPITAL OF ALBUQUERQUE,"5400 GIBSON BOULEVARD SE, 4TH FLOOR BOX# 8",ALBUQUERQUE,NM,87108,BERNALILLO,(505) 254-4500,Psychiatric,Proprietary
+17658,LIFEBRITE COMMUNITY HOSPITAL OF EARLY,11740 COLUMBIA STREET,BLAKELY,GA,39823,EARLY,(229) 723-4241,Critical Access Hospitals,Voluntary non-profit - Private
+29849,MARINHEALTH MEDICAL CENTER,"250 BON AIR ROAD, PO BOX 8010",GREENBRAE,CA,94904,MARIN,(415) 925-7900,Acute Care Hospitals,Government - Local
+73015,AUSTIN LAKES HOSPITAL,1025 EAST 32ND STREET,AUSTIN,TX,78705,TRAVIS,(512) 544-5253,Psychiatric,Proprietary
+82988,UNIVERSITY MEDICAL CENTER OF EL PASO,4815 ALAMEDA AVE,EL PASO,TX,79905,EL PASO,(915) 521-7602,Acute Care Hospitals,Government - Hospital District or Authority
+24058,MIAMI VALLEY HOSPITAL,ONE WYOMING STREET,DAYTON,OH,45409,MONTGOMERY,(937) 208-3023,Acute Care Hospitals,Voluntary non-profit - Private
+44936,HANOVER HOSPITAL,205 S HANOVER STREET,HANOVER,KS,66945,WASHINGTON,(785) 337-2214,Critical Access Hospitals,Government - Hospital District or Authority
+27909,NEMAHA VALLEY COMMUNITY HOSPITAL,1600 COMMUNITY DR,SENECA,KS,66538,NEMAHA,(785) 336-6181,Critical Access Hospitals,Voluntary non-profit - Private
+81593,ST JOSEPHS HOSPITAL,2661 COUNTY HWY I,CHIPPEWA FALLS,WI,54729,CHIPPEWA,(715) 717-7200,Acute Care Hospitals,Voluntary non-profit - Church
+87789,NORTHWEST HOSPITAL CENTER,5401 OLD COURT ROAD,RANDALLSTOWN,MD,21133,BALTIMORE,(410) 521-2200,Acute Care Hospitals,Voluntary non-profit - Private
+52024,CUMBERLAND HOSPITAL LLC,9407 CUMBERLAND ROAD,NEW KENT,VA,23124,NEW KENT,(804) 966-2242,Childrens,Proprietary
+46733,OVERLAKE HOSPITAL MEDICAL CENTER,1035-116TH AVE NE,BELLEVUE,WA,98004,KING,(425) 688-5000,Acute Care Hospitals,Voluntary non-profit - Other
+45023,SPOONER HEALTH SYSTEM,1280 CHANDLER DR,SPOONER,WI,54801,WASHBURN,(715) 635-2111,Critical Access Hospitals,Voluntary non-profit - Private
+24549,LONG BEACH MEMORIAL MEDICAL CENTER,2801 ATLANTIC AVE,LONG BEACH,CA,90806,LOS ANGELES,(562) 933-2000,Acute Care Hospitals,Voluntary non-profit - Other
+77695,KAHUKU MEDICAL CENTER,56-117 PUALALEA STREET,KAHUKU,HI,96731,HONOLULU,(808) 293-9221,Critical Access Hospitals,Voluntary non-profit - Other
+73028,VETERANS MEMORIAL HOSPITAL,40 1ST STREET SE,WAUKON,IA,52172,ALLAMAKEE,(563) 568-3411,Critical Access Hospitals,Government - Local
+82032,ADVENTHEALTH MURRAY,"707 OLD DALTON ELLIJAY ROAD, PO BOX 1406",CHATSWORTH,GA,30705,MURRAY,(706) 517-2031,Acute Care Hospitals,Voluntary non-profit - Private
+16827,MUNSON MEDICAL CENTER,1105 SIXTH STREET,TRAVERSE CITY,MI,49684,GRAND TRAVERSE,(231) 935-5000,Acute Care Hospitals,Voluntary non-profit - Other
+10435,"COOLEY DICKINSON HOSPITAL INC,THE",30 LOCUST STREET,NORTHAMPTON,MA,1060,HAMPSHIRE,(413) 582-2000,Acute Care Hospitals,Voluntary non-profit - Private
+82378,ASCENSION SETON MEDICAL CENTER AUSTIN,1201 W 38TH ST,AUSTIN,TX,78705,TRAVIS,(512) 324-1000,Acute Care Hospitals,Physician
+61499,WEST OAKS HOSPITAL,6500 HORNWOOD,HOUSTON,TX,77074,HARRIS,(713) 995-0909,Psychiatric,Proprietary
+12630,HEART OF THE ROCKIES REGIONAL MEDICAL CENTER,1000 RUSH DR,SALIDA,CO,81201,CHAFFEE,(719) 530-2200,Critical Access Hospitals,Government - Hospital District or Authority
+94703,CAPE REGIONAL MEDICAL CENTER INC,TWO STONE HARBOR BLVD,CAPE MAY COURT HOUSE,NJ,8210,CAPE MAY,(609) 463-2000,Acute Care Hospitals,Voluntary non-profit - Private
+55340,ENGLEWOOD HOSPITAL AND MEDICAL CENTER,350 ENGLE ST,ENGLEWOOD,NJ,7631,BERGEN,(201) 894-3000,Acute Care Hospitals,Voluntary non-profit - Private
+29231,ST JOSEPH MERCY HOSPITAL,5301 E HURON RIVER DR,ANN ARBOR,MI,48106,WASHTENAW,(734) 712-3456,Acute Care Hospitals,Voluntary non-profit - Church
+67748,UPMC HAMOT,201 STATE STREET,ERIE,PA,16550,ERIE,(814) 877-6000,Acute Care Hospitals,Voluntary non-profit - Private
+25198,SANTA CRUZ COUNTY PSYCHIATRIC HEALTH FACILITY,"2250 SOQUEL AVENUE, SUITE 150",SANTA CRUZ,CA,95062,SANTA CRUZ,(831) 600-2801,Psychiatric,Proprietary
+50826,WAHIAWA GENERAL HOSPITAL,128 LEHUA STREET,WAHIAWA,HI,96786,HONOLULU,(808) 621-8411,Acute Care Hospitals,Voluntary non-profit - Private
+72021,CAMBRIDGE HEALTH ALLIANCE,1493 CAMBRIDGE STREET,CAMBRIDGE,MA,2138,MIDDLESEX,(617) 665-2300,Acute Care Hospitals,Government - Local
+71038,PARIS COMMUNITY HOSPITAL,721 E COURT STREET,PARIS,IL,61944,EDGAR,(217) 465-4141,Critical Access Hospitals,Voluntary non-profit - Private
+53252,PERHAM HEALTH,1000 CONEY STREET WEST,PERHAM,MN,56573,OTTER TAIL,(218) 347-1301,Critical Access Hospitals,Government - Hospital District or Authority
+17441,BEAUMONT HOSPITAL - FARMINGTON HILLS,28050 GRAND RIVER AVENUE,FARMINGTON HILLS,MI,48336,OAKLAND,(248) 471-8000,Acute Care Hospitals,Voluntary non-profit - Private
+12279,COVENANT MEDICAL CENTER,1447 N HARRISON,SAGINAW,MI,48602,SAGINAW,(989) 583-4000,Acute Care Hospitals,Voluntary non-profit - Private
+77126,LINDSAY MUNICIPAL HOSPITAL,1305 W CHEROKEE STREET - HIGHWAY 19 WEST,LINDSAY,OK,73052,GARVIN,(405) 756-1404,Acute Care Hospitals,Government - Hospital District or Authority
+10367,KAISER FOUNDATION HOSPITAL-SANTA ROSA,401 BICENTENNIAL WAY,SANTA ROSA,CA,95403,SONOMA,(707) 571-4000,Acute Care Hospitals,Voluntary non-profit - Private
+90263,FANNIN REGIONAL HOSPITAL,2855 OLD HIGHWAY 5 NORTH,BLUE RIDGE,GA,30513,FANNIN,(706) 632-3711,Acute Care Hospitals,Proprietary
+94699,BIGFORK VALLEY HOSPITAL,258 PINE TREE DRIVE PO BOX 258,BIGFORK,MN,56628,ITASCA,(218) 743-3177,Critical Access Hospitals,Government - Hospital District or Authority
+58908,HOSPITAL DR CAYETANO COLL Y TOSTE,CARRETERA 129 KM.1 AVENIDA SAN LUIS,ARECIBO,PR,613,ARECIBO,(787) 650-7272,Acute Care Hospitals,Proprietary
+77462,MUSCOGEE (CREEK) NATION MEDICAL CENTER,1401 MORRIS DRIVE,OKMULGEE,OK,74447,OKMULGEE,(918) 756-4233,Acute Care Hospitals,Tribal
+84840,GOOD SAMARITAN REGIONAL HLTH CENTER,1 GOOD SAMARITAN WAY,MOUNT VERNON,IL,62864,JEFFERSON,(618) 899-1469,Acute Care Hospitals,Voluntary non-profit - Private
+72178,MADISON MEDICAL CENTER,611 W MAIN ST,FREDERICKTOWN,MO,63645,MADISON,(573) 781-3341,Critical Access Hospitals,Voluntary non-profit - Other
+35905,LAKES REGIONAL HEALTHCARE,2301 HIGHWAY 71,SPIRIT LAKE,IA,51360,DICKINSON,(712) 336-1230,Acute Care Hospitals,Voluntary non-profit - Other
+23230,UT HEALTH EAST TEXAS JACKSONVILLE HOSPITAL,501 S RAGSDALE,JACKSONVILLE,TX,75766,CHEROKEE,(903) 541-5000,Acute Care Hospitals,Voluntary non-profit - Private
+25857,"GENESIS MEDICAL CENTER, ALEDO",409 NW 9TH AVENUE,ALEDO,IL,61231,MERCER,(309) 582-9100,Critical Access Hospitals,Voluntary non-profit - Private
+50855,CLEVELAND CLINIC CHILDREN'S HOSPITAL FOR REHAB,"2801 MARTIN LUTHER KING, JR DRIVE",CLEVELAND,OH,44104,CUYAHOGA,(216) 721-6400,Childrens,Voluntary non-profit - Private
+54729,BIG SPRING STATE HOSPITAL,1901 NORTH HIGHWAY 87,BIG SPRING,TX,79721,HOWARD,(432) 268-7222,Psychiatric,Government - State
+52979,BETH ISRAEL DEACONESS HOSPITAL - PLYMOUTH,275 SANDWICH STREET,PLYMOUTH,MA,2360,PLYMOUTH,(508) 746-2000,Acute Care Hospitals,Voluntary non-profit - Private
+57859,FOSTORIA COMMUNITY HOSPITAL,501 VAN BUREN STREET,FOSTORIA,OH,44830,SENECA,(419) 435-7734,Critical Access Hospitals,Voluntary non-profit - Private
+34545,BEACON BEHAVIORAL HOSPITAL - CENTRAL,323 EVERGREEN STREET,BUNKIE,LA,71322,AVOYELLES,(318) 346-3143,Psychiatric,Proprietary
+63580,ST MARY MEDICAL CENTER,3333 NORTH SEMINARY,GALESBURG,IL,61401,KNOX,(309) 344-3161,Acute Care Hospitals,Voluntary non-profit - Church
+22130,LIFECARE BEHAVIORAL HEALTH HOSPITAL,225 PENN AVENUE 2ND FLOOR,PITTSBURGH,PA,15221,ALLEGHENY,(412) 247-2000,Psychiatric,Proprietary
+39574,UCHEALTH YAMPA VALLEY MEDICAL CENTER,1024 CENTRAL PARK DR,STEAMBOAT SPRINGS,CO,80487,ROUTT,(970) 879-1322,Acute Care Hospitals,Voluntary non-profit - Private
+26470,BEVERLY HOSPITAL,309 W BEVERLY BLVD,MONTEBELLO,CA,90640,LOS ANGELES,(323) 726-1222,Acute Care Hospitals,Voluntary non-profit - Private
+51405,LOWER BUCKS HOSPITAL,501 BATH ROAD,BRISTOL,PA,19007,BUCKS,(215) 785-9200,Acute Care Hospitals,Proprietary
+76147,CHILTON MEDICAL CENTER,97 WEST PARKWAY,POMPTON PLAINS,NJ,7444,MORRIS,(973) 831-5000,Acute Care Hospitals,Voluntary non-profit - Private
+43391,ATRIUM HEALTH LINCOLN,433 MCALISTER RD,LINCOLNTON,NC,28092,LINCOLN,(980) 212-2000,Acute Care Hospitals,Government - Hospital District or Authority
+10067,NEWTON MEDICAL CENTER,600 MEDICAL CENTER DRIVE,NEWTON,KS,67114,HARVEY,(316) 283-2700,Acute Care Hospitals,Voluntary non-profit - Private
+23016,BAPTIST HEALTH LEXINGTON,1740 NICHOLASVILLE ROAD,LEXINGTON,KY,40503,FAYETTE,(859) 260-6104,Acute Care Hospitals,Voluntary non-profit - Other
+12518,HALIFAX HEALTH MEDICAL CENTER,303 N CLYDE MORRIS BLVD,DAYTONA BEACH,FL,32114,VOLUSIA,(386) 254-4000,Acute Care Hospitals,Government - Hospital District or Authority
+72969,CALIFORNIA PACIFIC MEDICAL CENTER- VAN NESS CAMPUS,1101 VAN NESS AVENUE,SAN FRANCISCO,CA,94109,SAN FRANCISCO,(415) 600-6000,Acute Care Hospitals,Voluntary non-profit - Private
+11381,CRANE COUNTY HOSPITAL DISTRICT,1310 S ALFORD ST,CRANE,TX,79731,CRANE,(432) 558-3555,Critical Access Hospitals,Government - Hospital District or Authority
+31088,SCOTT MEMORIAL HEALTH,1451 N GARDNER ST,SCOTTSBURG,IN,47170,SCOTT,(812) 752-3456,Critical Access Hospitals,Proprietary
+12954,FIRST TEXAS HOSPITAL,9922 LOUETTA RD,HOUSTON,TX,77070,HARRIS,(844) 264-1435,Acute Care Hospitals,Proprietary
+27806,"WEATHERFORD REGIONAL HOSPITAL, INC OF WEATHERFORD",3701 E MAIN,WEATHERFORD,OK,73096,CUSTER,(580) 772-5551,Critical Access Hospitals,Government - Hospital District or Authority
+50160,WEST BOCA MEDICAL CENTER,21644 STATE RD 7,BOCA RATON,FL,33428,PALM BEACH,(561) 488-8100,Acute Care Hospitals,Proprietary
+74237,CLINTON MEMORIAL HOSPITAL,610 WEST MAIN STREET,WILMINGTON,OH,45177,CLINTON,(937) 382-6611,Acute Care Hospitals,Government - Local
+63380,CARROLL COUNTY MEMORIAL HOSPITAL,1502 NORTH JEFFERSON,CARROLLTON,MO,64633,CARROLL,(660) 542-1695,Critical Access Hospitals,Voluntary non-profit - Private
+84396,J ARTHUR DOSHER MEMORIAL HOSPITAL,924 HOWE ST,SOUTHPORT,NC,28461,BRUNSWICK,(910) 457-3800,Critical Access Hospitals,Voluntary non-profit - Other
+85930,MADISON COUNTY MEMORIAL HOSPITAL,224 NW CRANE AVE,MADISON,FL,32340,MADISON,(850) 973-2271,Critical Access Hospitals,Government - Hospital District or Authority
+29133,SURGICAL INSTITUTE OF READING,2752 CENTURY BOULEVARD,WYOMISSING,PA,19610,BERKS,(717) 999-9999,Acute Care Hospitals,Proprietary
+85879,MAURY REGIONAL HOSPITAL,1224 TROTWOOD AVE,COLUMBIA,TN,38401,MAURY,(931) 381-1111,Acute Care Hospitals,Government - Local
+52904,SETON MEDICAL CENTER WILLIAMSON,201 SETON PARKWAY,ROUND ROCK,TX,78664,WILLIAMSON,(512) 324-0000,Acute Care Hospitals,Voluntary non-profit - Private
+57285,ST FRANCIS HOSPITAL,333 LAIDLEY ST,CHARLESTON,WV,25301,KANAWHA,(304) 347-6500,Acute Care Hospitals,Proprietary
+12987,WERNERSVILLE STATE HOSPITAL,160 MAIN STREET,WERNERSVILLE,PA,19565,BERKS,(610) 670-4100,Psychiatric,Government - State
+85367,JEFFERSON DAVIS COMMUNITY HOSPITAL CAH,1102 ROSE STREET,PRENTISS,MS,39474,JEFFERSON DAVIS,(601) 792-4276,Critical Access Hospitals,Government - Local
+45337,DELTA MEMORIAL HOSPITAL,811 HIGHWAY 65 SOUTH,DUMAS,AR,71639,DESHA,(870) 382-4303,Critical Access Hospitals,Voluntary non-profit - Private
+29659,MENA REGIONAL HEALTH SYSTEM,311 NORTH MORROW STREET,MENA,AR,71953,POLK,(479) 394-6100,Acute Care Hospitals,Government - Local
+31236,BURKE MEDICAL CENTER,351 SOUTH LIBERTY STREET,WAYNESBORO,GA,30830,BURKE,(706) 554-4435,Acute Care Hospitals,Proprietary
+83029,ILLINI COMMUNITY HOSPITAL,640 W WASHINGTON,PITTSFIELD,IL,62363,PIKE,(217) 285-2113,Critical Access Hospitals,Voluntary non-profit - Private
+41937,"SAINT FRANCIS HOSPITAL, INC",6161 SOUTH YALE,TULSA,OK,74136,TULSA,(918) 494-2200,Acute Care Hospitals,Voluntary non-profit - Private
+70701,ALBERT EINSTEIN MEDICAL CENTER,5501 OLD YORK ROAD,PHILADELPHIA,PA,19141,PHILADELPHIA,(215) 456-6090,Acute Care Hospitals,Voluntary non-profit - Other
+30700,LAKEVIEW HOSPITAL,630 EAST MEDICAL DRIVE,BOUNTIFUL,UT,84010,DAVIS,(801) 299-2200,Acute Care Hospitals,Voluntary non-profit - Other
+64506,CRESCENT MEDICAL CENTER LANCASTER,2600 WEST PLEASANT RUN ROAD,LANCASTER,TX,75146,DALLAS,(972) 230-8888,Acute Care Hospitals,Physician
+70487,CENTRO CARDIOVASCULAR,"AVENIDA AMERICO MIRANDA, ENTRADA PRINCIPAL CM",RIO PIEDRAS,PR,936,SAN JUAN,(787) 754-8500,Acute Care Hospitals,Government - State
+93554,PRESENCE SAINT JOSEPH HOSPITAL - ELGIN,77 N AIRLITE STREET,ELGIN,IL,60123,KANE,(847) 695-3200,Acute Care Hospitals,Voluntary non-profit - Church
+46497,HEYWOOD HOSPITAL -,242 GREEN STREET,GARDNER,MA,1440,WORCESTER,(978) 632-3420,Acute Care Hospitals,Voluntary non-profit - Private
+82446,INGALLS MEMORIAL HOSPITAL,1 INGALLS DRIVE,HARVEY,IL,60426,COOK,(708) 333-2300,Acute Care Hospitals,Voluntary non-profit - Private
+23005,THE MEDICAL CENTER AT CAVERNA,1501 SOUTH DIXIE STREET,HORSE CAVE,KY,42749,HART,(270) 786-2191,Critical Access Hospitals,Voluntary non-profit - Private
+55244,TOMAH MEMORIAL HOSPITAL,501 GOPHER DR,TOMAH,WI,54660,MONROE,(608) 372-2181,Critical Access Hospitals,Voluntary non-profit - Private
+36357,PREMIER SURGICAL INSTITUTE,1619 K 66,GALENA,KS,66739,CHEROKEE,(620) 783-1732,Acute Care Hospitals,Government - Local
+93170,KAISER FOUNDATION HOSPITAL - WEST LA,6041 CADILLAC AVE,LOS ANGELES,CA,90034,LOS ANGELES,(213) 857-2201,Acute Care Hospitals,Voluntary non-profit - Private
+40095,EASTERN NEW MEXICO MEDICAL CENTER,405 W COUNTRY CLUB ROAD,ROSWELL,NM,88201,CHAVES,(575) 624-8722,Acute Care Hospitals,Proprietary
+15015,ESSENTIA HEALTH FARGO,3000 32ND AVE SOUTH,FARGO,ND,58104,CASS,(701) 364-8000,Acute Care Hospitals,Voluntary non-profit - Private
+53339,GENERATIONS BEHAVIORAL HEALTH-YOUNGSTOWN LLC,196 COLONIAL DRIVE,YOUNGSTOWN,OH,44504,MAHONING,(234) 232-7500,Psychiatric,Proprietary
+94253,MERIDIAN SERVICES CORP,2401 W UNIVERSITY AVE,MUNCIE,IN,47303,DELAWARE,(765) 751-5377,Psychiatric,Voluntary non-profit - Private
+61421,RANGELY DISTRICT HOSPITAL,225 EAGLE CREST ST,RANGELY,CO,81648,RIO BLANCO,(970) 675-5011,Critical Access Hospitals,Government - Hospital District or Authority
+60703,MIDMICHIGAN MEDICAL CENTER - ALPENA,1501 W CHISHOLM ST,ALPENA,MI,49707,ALPENA,(989) 356-7390,Acute Care Hospitals,Proprietary
+70314,MERCY HEALTH LOVE COUNTY,300 WANDA STREET,MARIETTA,OK,73448,LOVE,(580) 276-3347,Critical Access Hospitals,Government - Local
+54511,SHERMAN OAKS HOSPITAL,4929 VAN NUYS BLVD,SHERMAN OAKS,CA,91403,LOS ANGELES,(818) 981-7111,Acute Care Hospitals,Voluntary non-profit - Private
+26495,CENTURA HEALTH-ST ANTHONY HOSPITAL,11600 WEST 2ND PLC,LAKEWOOD,CO,80228,JEFFERSON,(720) 321-0000,Acute Care Hospitals,Voluntary non-profit - Church
+64452,EMORY UNIVERSITY HOSPITAL MIDTOWN,"550 PEACHTREE STREET,  NE",ATLANTA,GA,30308,FULTON,(404) 686-4411,Acute Care Hospitals,Voluntary non-profit - Private
+94023,RAINY LAKE MEDICAL CENTER,1400 HIGHWAY 71,INTERNATIONAL FALLS,MN,56649,KOOCHICHING,(218) 283-4481,Critical Access Hospitals,Voluntary non-profit - Private
+82717,ST LUKE'S QUAKERTOWN HOSPITAL,1021 PARK AVENUE,QUAKERTOWN,PA,18951,BUCKS,(215) 538-4500,Acute Care Hospitals,Voluntary non-profit - Private
+29251,MERCY HOSPITAL TISHOMINGO,1000 SOUTH BYRD,TISHOMINGO,OK,73460,JOHNSTON,(580) 371-2327,Critical Access Hospitals,Voluntary non-profit - Church
+61625,INSTITUTE FOR ORTHOPAEDIC SURGERY,"801 MEDICAL DRIVE, SUITE B",LIMA,OH,45804,ALLEN,(419) 224-7586,Acute Care Hospitals,Proprietary
+54257,NORTH CANYON MEDICAL CENTER,267 NORTH CANYON DR,GOODING,ID,83330,GOODING,(208) 934-4433,Critical Access Hospitals,Voluntary non-profit - Private
+36809,ST VINCENT RANDOLPH HOSPITAL INC,473 E GREENVILLE AVE,WINCHESTER,IN,47394,RANDOLPH,(765) 584-0004,Critical Access Hospitals,Voluntary non-profit - Private
+49041,CHRISTUS HEALTH SHREVEPORT - BOSSIER,1453 E BERT KOUNS INDUSTRIAL DRIVE,SHREVEPORT,LA,71105,CADDO,(318) 681-5000,Acute Care Hospitals,Voluntary non-profit - Private
+33446,ISLAND HOSPITAL,1211  24TH STREET,ANACORTES,WA,98221,SKAGIT,(360) 299-1300,Acute Care Hospitals,Government - Hospital District or Authority
+45149,ASANTE THREE RIVERS MEDICAL CENTER,500 SW RAMSEY AVENUE,GRANTS PASS,OR,97527,JOSEPHINE,(541) 472-7000,Acute Care Hospitals,Voluntary non-profit - Other
+28856,ST ANTHONYS HOSPITAL,1200 SEVENTH AVE N,SAINT PETERSBURG,FL,33705,PINELLAS,(727) 825-1100,Acute Care Hospitals,Voluntary non-profit - Church
+10764,MERCY MEDICAL CENTER INC,301 SAINT PAUL PLACE,BALTIMORE,MD,21202,BALTIMORE CITY,(410) 332-9237,Acute Care Hospitals,Voluntary non-profit - Church
+32157,LIBERTY MEDICAL CENTER,315 W MADISON AVE,CHESTER,MT,59522,LIBERTY,(406) 759-5181,Critical Access Hospitals,Voluntary non-profit - Private
+54883,SGMC BERRIEN CAMPUS,1221 E MCPHERSON AVENUE,NASHVILLE,GA,31639,BERRIEN,(229) 543-7100,Acute Care Hospitals,Government - Hospital District or Authority
+11770,ST JOSEPH HOSPITAL,360 BROADWAY,BANGOR,ME,4401,PENOBSCOT,(207) 262-1000,Acute Care Hospitals,Voluntary non-profit - Church
+49184,JACOBSON MEMORIAL HOSPITAL CARE CENTER,601 EAST ST N,ELGIN,ND,58533,GRANT,(701) 584-2792,Critical Access Hospitals,Voluntary non-profit - Private
+81024,INLAND NORTHWEST BEHAVIORAL HEALTH,104 W 5TH AVE,SPOKANE,WA,99204,SPOKANE,(425) 821-2000,Psychiatric,Proprietary
+44222,ASCENSION ALL SAINTS HOSPITAL,3801 SPRING ST,RACINE,WI,53405,RACINE,(262) 687-4011,Acute Care Hospitals,Voluntary non-profit - Church
+67220,UPLAND HILLS HEALTH,800 COMPASSION WAY,DODGEVILLE,WI,53533,IOWA,(608) 930-8000,Critical Access Hospitals,Voluntary non-profit - Private
+61832,KANSAS CITY ORTHOPAEDIC INSTITUTE,3651 COLLEGE BLVD,LEAWOOD,KS,66211,JOHNSON,(913) 319-7633,Acute Care Hospitals,Physician
+68204,APPLETON MUNICIPAL HOSPITAL,30 SOUTH BEHL STREET,APPLETON,MN,56208,SWIFT,(320) 289-8508,Critical Access Hospitals,Government - Local
+39007,NEW YORK-PRESBYTERIAN BROOKLYN METHODIST HOSPITAL,506 SIXTH STREET,BROOKLYN,NY,11215,KINGS,(718) 780-3000,Acute Care Hospitals,Voluntary non-profit - Private
+64707,OCEANS BEHAVIORAL HOSPITAL OF KENTWOOD,921 AVENUE G,KENTWOOD,LA,70444,TANGIPAHOA,(985) 229-0717,Psychiatric,Proprietary
+72561,DUKE REGIONAL HOSPITAL,3643 N ROXBORO STREET,DURHAM,NC,27704,DURHAM,(919) 470-4000,Acute Care Hospitals,Government - Local
+51918,PROCTOR HOSPITAL,5409 N KNOXVILLE AVE,PEORIA,IL,61614,PEORIA,(309) 691-1000,Acute Care Hospitals,Voluntary non-profit - Private
+12361,MEMORIAL HOSPITAL,511 NE 10TH ST,ABILENE,KS,67410,DICKINSON,(785) 263-6610,Critical Access Hospitals,Government - Hospital District or Authority
+54527,"MONTGOMERY GENERAL HOSPITAL, INC",401 SIXTH AVENUE,MONTGOMERY,WV,25136,FAYETTE,(304) 442-5151,Critical Access Hospitals,Voluntary non-profit - Private
+76986,BONNER GENERAL HOSPITAL,520 NORTH THIRD AVENUE,SANDPOINT,ID,83864,BONNER,(208) 263-1441,Critical Access Hospitals,Voluntary non-profit - Private
+79575,CARLSBAD MEDICAL CENTER,2430 WEST PIERCE STREET,CARLSBAD,NM,88220,EDDY,(575) 887-4570,Acute Care Hospitals,Proprietary
+73435,DOUGLAS COUNTY HEALTH CENTER,4102 WOOLWORTH AVE,OMAHA,NE,68105,DOUGLAS,(402) 444-7676,Psychiatric,Government - Local
+80984,SEVEN HILLS BEHAVIORAL INSTITUTE,3021 W HORIZON RIDGE PKWY,HENDERSON,NV,89052,CLARK,(702) 646-5000,Psychiatric,Proprietary
+77401,BAKERSFIELD MEMORIAL HOSPITAL,420 34TH ST,BAKERSFIELD,CA,93301,KERN,(661) 327-1792,Acute Care Hospitals,Voluntary non-profit - Private
+42322,MUNSON HEALTHCARE MANISTEE HOSPITAL,1465 E PARKDALE AVE,MANISTEE,MI,49660,MANISTEE,(231) 398-1000,Acute Care Hospitals,Voluntary non-profit - Other
+80222,BHC ALHAMBRA HOSP,4619 N ROSEMEAD BLVD,ROSEMEAD,CA,91770,LOS ANGELES,(626) 286-1191,Psychiatric,Proprietary
+81376,FORT WALTON BEACH MEDICAL CENTER,1000 MAR-WALT DR,FORT WALTON BEACH,FL,32547,OKALOOSA,(850) 862-1111,Acute Care Hospitals,Proprietary
+67218,WYOMING STATE HOSPITAL,831 HWY 150 SOUTH,EVANSTON,WY,82931,UINTA,(307) 789-3464,Psychiatric,Government - State
+73872,HASKELL MEMORIAL HOSPITAL,1 NORTH AVENUE N  PO BOX 1117,HASKELL,TX,79521,HASKELL,(940) 864-2621,Critical Access Hospitals,Government - Hospital District or Authority
+76221,BOZEMAN HEALTH DEACONESS HOSPITAL,915 HIGHLAND BLVD,BOZEMAN,MT,59715,GALLATIN,(406) 585-5000,Acute Care Hospitals,Voluntary non-profit - Private
+47690,NORWOOD HEALTH CENTER,1600 N CHESTNUT AVE,MARSHFIELD,WI,54449,WOOD,(715) 384-2188,Psychiatric,Government - Local
+39428,INDIANA UNIVERSITY HEALTH ARNETT HOSPITAL,5165 MCCARTY LN,LAFAYETTE,IN,47905,TIPPECANOE,(765) 448-8000,Acute Care Hospitals,Voluntary non-profit - Private
+28603,STAFFORD COUNTY HOSPITAL,502 S BUCKEYE,STAFFORD,KS,67578,STAFFORD,(620) 234-5221,Critical Access Hospitals,Government - Local
+50755,SHRINERS HOSPITALS FOR CHILDREN-TAMPA,12502 USF PINE DR,TAMPA,FL,33612,HILLSBOROUGH,(813) 972-2250,Childrens,Voluntary non-profit - Other
+82010,WESTERN STATE HOSPITAL,2400 RUSSELLVILLE ROAD,HOPKINSVILLE,KY,42240,CHRISTIAN,(270) 889-6025,Psychiatric,Government - Local
+84985,MATAGORDA REGIONAL MEDICAL CENTER,104 7TH STREET,BAY CITY,TX,77414,MATAGORDA,(979) 245-6383,Acute Care Hospitals,Government - Hospital District or Authority
+50968,COX MEDICAL CENTERS,3801 SOUTH NATIONAL AVENUE,SPRINGFIELD,MO,65807,GREENE,(417) 269-6000,Acute Care Hospitals,Voluntary non-profit - Private
+15530,DAYTON GENERAL HOSPITAL,1012 SOUTH 3RD STREET,DAYTON,WA,99328,COLUMBIA,(509) 382-2531,Critical Access Hospitals,Government - Hospital District or Authority
+35365,ASTRIA TOPPENISH HOSPITAL,502 W FOURTH AVE,TOPPENISH,WA,98948,YAKIMA,(509) 865-1520,Acute Care Hospitals,Voluntary non-profit - Private
+71373,CLARA BARTON HOSPITAL,250 W 9TH STREET,HOISINGTON,KS,67544,BARTON,(620) 653-2114,Critical Access Hospitals,Voluntary non-profit - Private
+53299,BANNER BAYWOOD MEDICAL CENTER,6644 EAST BAYWOOD AVENUE,MESA,AZ,85206,MARICOPA,(480) 321-2000,Acute Care Hospitals,Voluntary non-profit - Private
+43211,MOUNTAINS COMMUNITY HOSPITAL,29101 HOSPITAL ROAD,LAKE ARROWHEAD,CA,92352,SAN BERNARDINO,(909) 336-3651,Critical Access Hospitals,Government - Hospital District or Authority
+80445,SACRED HEART MEDICAL CENTER - RIVERBEND,3333 RIVERBEND DRIVE,SPRINGFIELD,OR,97477,LANE,(541) 222-7300,Acute Care Hospitals,Voluntary non-profit - Private
+48167,WEBSTER COUNTY COMMUNITY HOSPITAL,"P O BOX 465, 621 N FRANKLIN ST",RED CLOUD,NE,68970,WEBSTER,(402) 746-5600,Critical Access Hospitals,Government - Local
+88824,BENNETT COUNTY HOSPITAL AND NURSING HOME - CAH,102 MAJOR ALLEN   POST OFFICE BOX 70D,MARTIN,SD,57551,BENNETT,(605) 685-6622,Critical Access Hospitals,Voluntary non-profit - Other
+92522,COMMUNITY HOSPITAL OF ANACONDA,401 W PENNSYLVANIA,ANACONDA,MT,59711,DEER LODGE,(406) 563-8500,Critical Access Hospitals,Voluntary non-profit - Private
+14919,MEMORIAL MEDICAL CENTER,701 N FIRST ST,SPRINGFIELD,IL,62702,SANGAMON,(217) 788-3000,Acute Care Hospitals,Voluntary non-profit - Private
+85022,HOSPITAL MENONITA CAGUAS INC,CARR 172  EXIT 21 URB TURABO GARDENS,CAGUAS,PR,725,CAGUAS,(787) 744-3141,Acute Care Hospitals,Voluntary non-profit - Private
+17394,MCLAREN MACOMB,1000 HARRINGTON ST,MOUNT CLEMENS,MI,48043,MACOMB,(586) 493-8000,Acute Care Hospitals,Voluntary non-profit - Private
+85773,LOYOLA UNIVERSITY MEDICAL CENTER,2160 S 1ST AVENUE,MAYWOOD,IL,60153,COOK,(708) 216-9000,Acute Care Hospitals,Voluntary non-profit - Private
+32782,WILLIAM BEE RIRIE HOSPITAL,1500 AVENUE H,ELY,NV,89301,WHITE PINE,(775) 289-3001,Critical Access Hospitals,Government - Hospital District or Authority
+55511,PERRY HOSPITAL,1120 MORNINGSIDE DR,PERRY,GA,31069,HOUSTON,(478) 987-3600,Acute Care Hospitals,Voluntary non-profit - Private
+81765,SAN ANGELO COMMUNITY MEDICAL CENTER,3501 KNICKERBOCKER ROAD,SAN ANGELO,TX,76904,TOM GREEN,(325) 949-9511,Acute Care Hospitals,Proprietary
+18273,WEBSTER GENERAL HOSPITAL/ SWING BED,70 MEDICAL PLAZA,EUPORA,MS,39744,WEBSTER,(662) 258-6221,Acute Care Hospitals,Voluntary non-profit - Other
+17513,JOHNSTON HEALTH,509 BRIGHT LEAF BLVD,SMITHFIELD,NC,27577,JOHNSTON,(919) 934-8171,Acute Care Hospitals,Government - Hospital District or Authority
+28733,"NORTHEAST GEORGIA MEDICAL CENTER, INC",743 SPRING STREET,GAINESVILLE,GA,30501,HALL,(770) 535-3553,Acute Care Hospitals,Government - Local
+18843,FAIRVIEW PARK HOSPITAL,200 INDUSTRIAL BOULEVARD,DUBLIN,GA,31021,LAURENS,(478) 274-3100,Acute Care Hospitals,Proprietary
+17857,SSM HEALTH DEPAUL HOSPITAL ST LOUIS,12303 DEPAUL DRIVE,BRIDGETON,MO,63044,ST. LOUIS,(314) 344-6000,Acute Care Hospitals,Voluntary non-profit - Private
+11727,WEST CALCASIEU CAMERON HOSPITAL,701 EAST CYPRESS STREET,SULPHUR,LA,70663,CALCASIEU,(337) 527-7034,Acute Care Hospitals,Government - Hospital District or Authority
+13375,KOOTENAI HEALTH,2003 KOOTENAI HEALTH WAY,COEUR D'ALENE,ID,83814,KOOTENAI,(208) 625-4000,Acute Care Hospitals,Government - Hospital District or Authority
+65086,SAMARITAN HOSPITAL,2215 BURDETT AVENUE,TROY,NY,12180,RENSSELAER,(518) 427-3402,Acute Care Hospitals,Voluntary non-profit - Private
+58775,SALT LAKE REGIONAL MEDICAL CENTER,1050 EAST SOUTH TEMPLE,SALT LAKE CITY,UT,84102,SALT LAKE,(801) 350-4111,Acute Care Hospitals,Proprietary
+68841,BARNES-KASSON COUNTY HOSPITAL,2872 TURNPIKE STREET,SUSQUEHANNA,PA,18847,SUSQUEHANNA,(570) 853-3135,Critical Access Hospitals,Voluntary non-profit - Private
+82893,MEDICAL CITY PLANO,3901 W 15TH ST,PLANO,TX,75075,COLLIN,(972) 596-6800,Acute Care Hospitals,Proprietary
+36013,LARNED STATE HOSPITAL,1301 KS HIGHWAY 264,LARNED,KS,67550,PAWNEE,(620) 285-4360,Psychiatric,Government - State
+87872,NORTH TEXAS MEDICAL CENTER,1900 HOSPITAL BLVD,GAINESVILLE,TX,76240,COOKE,(940) 612-8600,Acute Care Hospitals,Government - Hospital District or Authority
+56445,GOOD SAMARITAN MEDICAL CENTER,200 EXEMPLA CIRCLE,LAFAYETTE,CO,80026,BOULDER,(303) 689-4000,Acute Care Hospitals,Voluntary non-profit - Private
+84738,WESTCHESTER GENERAL HOSPITAL,2500 SW 75TH AVE,MIAMI,FL,33155,MIAMI-DADE,(305) 263-9270,Acute Care Hospitals,Proprietary
+70665,ALAMEDA HOSPITAL,2070 CLINTON AVENUE,ALAMEDA,CA,94501,ALAMEDA,(510) 522-3700,Acute Care Hospitals,Government - Hospital District or Authority
+61415,KIMBLE HOSPITAL,349 REID ROAD,JUNCTION,TX,76849,KIMBLE,(325) 446-3321,Critical Access Hospitals,Government - Hospital District or Authority
+75269,NEVADA REGIONAL MEDICAL CENTER,800 S ASH ST,NEVADA,MO,64772,VERNON,(417) 667-3355,Acute Care Hospitals,Government - Local
+70015,SAINT JOSEPH REGIONAL MEDICAL CENTER - PLYMOUTH,1915 LAKE AVE,PLYMOUTH,IN,46563,MARSHALL,(574) 948-4000,Acute Care Hospitals,Voluntary non-profit - Church
+58125,HELEN KELLER MEMORIAL HOSPITAL,1300 SOUTH MONTGOMERY AVENUE,SHEFFIELD,AL,35660,COLBERT,(256) 386-4556,Acute Care Hospitals,Government - Hospital District or Authority
+24236,BLOOMINGTON MEADOWS HOSPITAL,3600 N PROW RD,BLOOMINGTON,IN,47404,MONROE,(812) 331-8000,Psychiatric,Proprietary
+64828,SSM HEALTH ST. MARY'S HOSPITAL-AUDRAIN,620 E MONROE,MEXICO,MO,65265,AUDRAIN,(573) 582-5000,Acute Care Hospitals,Voluntary non-profit - Private
+87914,SHANNON MEDICAL CENTER,120 EAST HARRIS AVENUE,SAN ANGELO,TX,76903,TOM GREEN,(325) 653-6741,Acute Care Hospitals,Voluntary non-profit - Private
+21584,MEMORIAL HOSPITAL,1900 STATE ST,CHESTER,IL,62233,RANDOLPH,(618) 826-4581,Critical Access Hospitals,Government - Hospital District or Authority
+16656,COCHRAN MEMORIAL HOSPITAL,205 E GRANT STREET,MORTON,TX,79346,COCHRAN,(806) 266-5565,Critical Access Hospitals,Government - Hospital District or Authority
+48017,NORTHWESTERN MEDICAL CENTER INC,133 FAIRFIELD STREET,SAINT ALBANS,VT,5478,FRANKLIN,(802) 524-5911,Acute Care Hospitals,Voluntary non-profit - Other
+48696,PIEDMONT ROCKDALE HOSPITAL,"1412 MILSTEAD AVENUE, NE",CONYERS,GA,30012,ROCKDALE,(770) 918-3000,Acute Care Hospitals,Proprietary
+11638,HOPI HEALTH CARE CENTER,"HIGHWAY 264, MILEPOST 388",POLACCA,AZ,86042,NAVAJO,(928) 737-6000,Critical Access Hospitals,Tribal
+13275,ST ELIZABETH MEDICAL CENTER,1200 GRANT BLVD W,WABASHA,MN,55981,WABASHA,(651) 565-4531,Critical Access Hospitals,Proprietary
+49648,ALTA VISTA REGIONAL HOSPITAL,104 LEGION DRIVE,LAS VEGAS,NM,87701,SAN MIGUEL,(505) 426-3930,Acute Care Hospitals,Government - Hospital District or Authority
+76671,SAME DAY SURGERY CENTER LLC,651 CATHEDRAL DRIVE,RAPID CITY,SD,57701,PENNINGTON,(605) 755-9900,Acute Care Hospitals,Proprietary
+43578,HUMBOLDT COUNTY MEMORIAL HOSPITAL,1000 NORTH 15TH STREET,HUMBOLDT,IA,50548,HUMBOLDT,(515) 332-4200,Critical Access Hospitals,Voluntary non-profit - Other
+78785,NORMAN REGIONAL,901 N PORTER,NORMAN,OK,73070,CLEVELAND,(405) 307-1050,Acute Care Hospitals,Government - Hospital District or Authority
+89474,COMMUNITY HOSPITAL OF BREMEN INC,1020 HIGH RD,BREMEN,IN,46506,MARSHALL,(574) 546-2211,Critical Access Hospitals,Voluntary non-profit - Private
+78774,CALHOUN-LIBERTY HOSPITAL,20370 NE BURNS AVE,BLOUNTSTOWN,FL,32424,CALHOUN,(850) 674-3493,Critical Access Hospitals,Voluntary non-profit - Private
+80519,THE JEWISH HOSPITAL-MERCY HEALTH,4777 EAST GALBRAITH ROAD,CINCINNATI,OH,45236,HAMILTON,(513) 686-4127,Acute Care Hospitals,Voluntary non-profit - Private
+59687,CONEMAUGH MINERS MEDICAL CENTER,290 HAIDA AVENUE,HASTINGS,PA,16646,CAMBRIA,(814) 247-3100,Acute Care Hospitals,Proprietary
+79619,SAN JOAQUIN GENERAL HOSPITAL,500 W HOSPITAL ROAD,FRENCH CAMP,CA,95231,SAN JOAQUIN,(209) 468-6000,Acute Care Hospitals,Government - Local
+13025,MURRAY-CALLOWAY COUNTY HOSPITAL,803 POPLAR STREET,MURRAY,KY,42071,CALLOWAY,(270) 762-1100,Acute Care Hospitals,Voluntary non-profit - Other
+34433,VIDANT ROANOKE CHOWAN HOSPITAL,500 S ACADEMY ST,AHOSKIE,NC,27910,HERTFORD,(252) 209-3000,Acute Care Hospitals,Voluntary non-profit - Private
+29563,CHRISTIAN HOSPITAL NORTHEAST-NORTHWEST,11133 DUNN ROAD,SAINT LOUIS,MO,63136,ST. LOUIS,(314) 653-5000,Acute Care Hospitals,Voluntary non-profit - Private
+46464,S E LACKEY MEMORIAL HOSPITAL,330 N BROAD STREET,FOREST,MS,39074,SCOTT,(601) 469-4151,Critical Access Hospitals,Voluntary non-profit - Private
+60324,PRINCETON BAPTIST MEDICAL CENTER,701 PRINCETON AVENUE SOUTHWEST,BIRMINGHAM,AL,35211,JEFFERSON,(205) 783-3800,Acute Care Hospitals,Voluntary non-profit - Church
+11632,PIEDMONT MOUNTAINSIDE HOSPITAL INC,1266 HIGHWAY 515 SOUTH,JASPER,GA,30143,PICKENS,(706) 301-5269,Acute Care Hospitals,Voluntary non-profit - Other
+32170,LIBERTY HOSPITAL,2525 GLENN HENDREN DR,LIBERTY,MO,64069,CLAY,(816) 781-7200,Acute Care Hospitals,Government - Hospital District or Authority
+55737,"STAFFORD HOSPITAL, LLC",101 HOSPITAL CENTER BOULEVARD,STAFFORD,VA,22554,STAFFORD,(540) 741-9000,Acute Care Hospitals,Voluntary non-profit - Private
+65599,SANFORD SHELDON MEDICAL CENTER,118 NORTH 7TH AVENUE,SHELDON,IA,51201,OBRIEN,(712) 324-5041,Critical Access Hospitals,Voluntary non-profit - Private
+15330,REGIONAL HEALTH RAPID CITY HOSPITAL,353 FAIRMONT BLVD  POST OFFICE BOX 6000,RAPID CITY,SD,57701,PENNINGTON,(605) 755-1000,Acute Care Hospitals,Voluntary non-profit - Private
+35170,"SUTTER MEDICAL CENTER, SACRAMENTO",2825 CAPITOL AVENUE,SACRAMENTO,CA,95816,SACRAMENTO,(916) 733-8999,Acute Care Hospitals,Voluntary non-profit - Private
+72278,THE NEBRASKA MEDICAL CENTER,987400 NEBRASKA MEDICAL CENTER,OMAHA,NE,68198,DOUGLAS,(402) 552-2040,Acute Care Hospitals,Voluntary non-profit - Private
+10473,STEVENS COMMUNITY MEDICAL CENTER,400 EAST FIRST STREET,MORRIS,MN,56267,STEVENS,(320) 589-1313,Critical Access Hospitals,Voluntary non-profit - Private
+72018,COMMUNITY MEMORIAL HOSPITAL,208 N COLUMBUS ST,HICKSVILLE,OH,43526,DEFIANCE,(419) 542-6692,Critical Access Hospitals,Government - Hospital District or Authority
+72125,WHITERIVER PHS INDIAN HOSPITAL,200 WEST HOSPITAL DRIVE  (PO BOX 860),WHITERIVER,AZ,85941,NAVAJO,(928) 338-4911,Acute Care Hospitals,Government - Federal
+69771,MENNONITE GENERAL HOSPITAL INC,CALLE JOSE C VASQUEZ BO. CAONILLAS,AIBONITO,PR,705,AIBONITO,(787) 535-1001,Acute Care Hospitals,Voluntary non-profit - Private
+15217,ZUNI COMPREHENSIVE COMMUNITY HEALTH CENTER,ROUTE 301 NORTH B STREET,ZUNI,NM,87327,MCKINLEY,(505) 782-4431,Acute Care Hospitals,Government - Federal
+45043,LAWTON INDIAN HOSPITAL,1515 LAWRIE TATUM ROAD,LAWTON,OK,73507,COMANCHE,(580) 354-5000,Acute Care Hospitals,Government - Federal
+72462,CENTRAL VERMONT MEDICAL CENTER,BOX 547,BARRE,VT,5641,WASHINGTON,(802) 371-4100,Acute Care Hospitals,Voluntary non-profit - Private
+60857,BAYSHORE MEDICAL CENTER,727 N BEERS ST,HOLMDEL,NJ,7733,MONMOUTH,(732) 739-5900,Acute Care Hospitals,Voluntary non-profit - Private
+45178,SENTARA OBICI HOSPITAL,2800 GODWIN BOULEVARD,SUFFOLK,VA,23439,SUFFOLK CITY,(757) 934-4000,Acute Care Hospitals,Voluntary non-profit - Other
+51597,CHARLESTON SURGICAL HOSPITAL,1306 KANAWHA BOULEVARD EAST,CHARLESTON,WV,25301,KANAWHA,(304) 343-4371,Acute Care Hospitals,Physician
+66132,TEMECULA VALLEY HOSPITAL,31700 TEMECULA PKWY,TEMECULA,CA,92592,RIVERSIDE,(951) 331-2200,Acute Care Hospitals,Proprietary
+22915,"BARNESVILLE HOSPITAL ASSOCIATION, INC",639 WEST MAIN STREET,BARNESVILLE,OH,43713,BELMONT,(740) 425-5101,Critical Access Hospitals,Voluntary non-profit - Private
+25994,BANNER BOSWELL MEDICAL CENTER,10401 WEST THUNDERBIRD BOULEVARD,SUN CITY,AZ,85351,MARICOPA,(623) 832-4000,Acute Care Hospitals,Voluntary non-profit - Other
+47009,TWIN CITIES HOSPITAL,2190 HWY 85 N,NICEVILLE,FL,32578,OKALOOSA,(850) 678-4131,Acute Care Hospitals,Proprietary
+17476,MILTON S HERSHEY MEDICAL CENTER,500 UNIVERSITY DRIVE,HERSHEY,PA,17033,DAUPHIN,(717) 531-8521,Acute Care Hospitals,Voluntary non-profit - Private
+46094,WILLIAMSPORT REGIONAL MEDICAL CENTER,700 HIGH STREET,WILLIAMSPORT,PA,17701,LYCOMING,(570) 321-2389,Acute Care Hospitals,Voluntary non-profit - Other
+10612,ST JOHN'S RIVERSIDE HOSPITAL,976 NORTH BROADWAY,YONKERS,NY,10701,WESTCHESTER,(914) 964-4444,Acute Care Hospitals,Voluntary non-profit - Private
+34988,CATALINA ISLAND MEDICAL CENTER,100 FALLS CANYON ROAD,AVALON,CA,90704,LOS ANGELES,(310) 510-0700,Critical Access Hospitals,Voluntary non-profit - Private
+81758,WESTERN PLAINS MEDICAL COMPLEX,3001 AVENUE A,DODGE CITY,KS,67801,FORD,(620) 225-8400,Acute Care Hospitals,Proprietary
+16612,WEST PENN HOSPITAL,4800 FRIENDSHIP AVENUE,PITTSBURGH,PA,15224,ALLEGHENY,(412) 578-5000,Acute Care Hospitals,Voluntary non-profit - Private
+31707,JOHNSON MEMORIAL HOSPITAL,201 CHESTNUT HILL ROAD,STAFFORD SPRINGS,CT,6076,TOLLAND,(860) 684-4251,Acute Care Hospitals,Voluntary non-profit - Private
+87811,PONTOTOC HEALTH SERVICE CAH,176 SOUTH MAIN STREET,PONTOTOC,MS,38863,PONTOTOC,(662) 489-5510,Critical Access Hospitals,Voluntary non-profit - Private
+88762,HOSPITAL UNIVERSITARIO DR RUIZ ARNAU,LAUREL AVE SANTA JUANITA #100,BAYAMON,PR,956,BAYAMON,(787) 787-5151,Acute Care Hospitals,Government - State
+62480,ARROWHEAD REGIONAL MEDICAL CENTER,400 NORTH PEPPER AVENUE,COLTON,CA,92324,SAN BERNARDINO,(909) 580-1000,Acute Care Hospitals,Government - Local
+51619,WINNEBAGO MENTAL HEALTH INSTITUTE,4100 TREFFERT DR,WINNEBAGO,WI,54985,WINNEBAGO,(920) 235-4910,Psychiatric,Government - State
+33716,WELLSTAR COBB HOSPITAL,3950 AUSTELL RD,AUSTELL,GA,30106,COBB,(770) 732-4000,Acute Care Hospitals,Voluntary non-profit - Other
+40486,"SHRINERS' HOSPITAL FOR CHILDREN - BOSTON, THE",51 BLOSSOM STREET,BOSTON,MA,2114,SUFFOLK,(617) 722-3000,Childrens,Proprietary
+64580,ST LUKES HOSPITAL,101 HOSPITAL DRIVE,COLUMBUS,NC,28722,POLK,(828) 894-3311,Critical Access Hospitals,Voluntary non-profit - Private
+82674,"IRA DAVENPORT MEMORIAL HOSPITAL, INC",7571 STATE ROUTE 54,BATH,NY,14810,STEUBEN,(607) 776-8500,Acute Care Hospitals,Voluntary non-profit - Other
+18128,SCRIPPS MEMORIAL HOSPITAL - ENCINITAS,354 SANTA FE DRIVE,ENCINITAS,CA,92024,SAN DIEGO,(760) 753-6501,Acute Care Hospitals,Voluntary non-profit - Private
+88969,BROOKINGS HEALTH SYSTEM,300 22ND AVE,BROOKINGS,SD,57006,BROOKINGS,(605) 696-9000,Acute Care Hospitals,Government - Local
+82007,SOUTHERN NH MEDICAL CENTER,8 PROSPECT STREET,NASHUA,NH,3060,HILLSBOROUGH,(603) 577-2000,Acute Care Hospitals,Voluntary non-profit - Private
+64099,DOCTORS HOSPITAL,5000 UNIVERSITY DR,CORAL GABLES,FL,33146,MIAMI-DADE,(305) 666-2111,Acute Care Hospitals,Voluntary non-profit - Other
+29323,VIRTUA WILLINGBORO HOSPITAL,218A SUNSET ROAD,WILLINGBORO,NJ,8046,BURLINGTON,(609) 835-2900,Acute Care Hospitals,Voluntary non-profit - Private
+53280,SISTERS OF CHARITY HOSPITAL,2157 MAIN STREET,BUFFALO,NY,14214,ERIE,(716) 862-1000,Acute Care Hospitals,Voluntary non-profit - Private
+46936,ANCORA PSYCH HOSP,ANCORA BRANCH,HAMMONTON,NJ,8037,ATLANTIC,(609) 561-1700,Psychiatric,Government - State
+26563,RIVERTON HOSPITAL,3741 WEST 12600 SOUTH,RIVERTON,UT,84065,SALT LAKE,(801) 285-4000,Acute Care Hospitals,Voluntary non-profit - Private
+19598,SOVAH HEALTH DANVILLE,142 SOUTH MAIN STREET,DANVILLE,VA,24541,DANVILLE CITY,(434) 799-2100,Acute Care Hospitals,Proprietary
+62649,ASCENSION ST VINCENT'S RIVERSIDE,1 SHIRCLIFF WAY,JACKSONVILLE,FL,32204,DUVAL,(904) 308-7300,Acute Care Hospitals,Voluntary non-profit - Private
+60052,ADVOCATE EUREKA  HOSPITAL,101 S MAJOR ST,EUREKA,IL,61530,WOODFORD,(309) 467-2371,Critical Access Hospitals,Voluntary non-profit - Private
+30681,SANFORD CHAMBERLAIN MEDICAL CENTER,300 S BYRON,CHAMBERLAIN,SD,57325,BRULE,(605) 234-5511,Critical Access Hospitals,Voluntary non-profit - Private
+76173,SITKA COMMUNITY HOSPITAL,209 MOLLER DRIVE,SITKA,AK,99835,SITKA BOROUGH,(907) 747-3241,Critical Access Hospitals,Government - Local
+65519,LARKIN COMMUNITY HOSPITAL,7031 SW 62ND AVE,SOUTH MIAMI,FL,33143,MIAMI-DADE,(305) 284-7500,Acute Care Hospitals,Proprietary
+71319,KAWEAH DELTA MEDICAL CENTER,400 W MINERAL KING AVE,VISALIA,CA,93291,TULARE,(559) 624-2000,Acute Care Hospitals,Government - Hospital District or Authority
+27867,INDIANA UNIVERSITY HEALTH BEDFORD HOSPITAL,2900 W 16TH ST,BEDFORD,IN,47421,LAWRENCE,(812) 275-1200,Critical Access Hospitals,Voluntary non-profit - Private
+89567,SWISHER MEMORIAL HOSPITAL,539 SOUTHEAST 2ND,TULIA,TX,79088,SWISHER,(806) 995-3581,Critical Access Hospitals,Voluntary non-profit - Private
+18038,SANTA BARBARA COTTAGE HOSPITAL,400 WEST PUEBLO,SANTA BARBARA,CA,93102,SANTA BARBARA,(805) 682-7111,Acute Care Hospitals,Voluntary non-profit - Private
+35446,"ARKANSAS HEART HOSPITAL, LLC",1701 S SHACKLEFORD ROAD,LITTLE ROCK,AR,72211,PULASKI,(501) 219-7000,Acute Care Hospitals,Proprietary
+18553,WILLIAMSON MEDICAL CENTER,4321 CAROTHERS PARKWAY,FRANKLIN,TN,37067,WILLIAMSON,(615) 435-5000,Acute Care Hospitals,Government - Hospital District or Authority
+76608,"UNIVERSITY OF MINNESOTA  MEDICAL CENTER, FAIRVIEW",2450 RIVERSIDE AVENUE,MINNEAPOLIS,MN,55454,HENNEPIN,(612) 273-3000,Acute Care Hospitals,Voluntary non-profit - Private
+47185,SCHNECK MEDICAL CENTER,411 W TIPTON ST,SEYMOUR,IN,47274,JACKSON,(812) 522-2349,Acute Care Hospitals,Government - Local
+73336,"MEMORIAL HEALTHCARE SYSTEM, INC",2525 DESALES AVE,CHATTANOOGA,TN,37404,HAMILTON,(423) 495-2525,Acute Care Hospitals,Voluntary non-profit - Church
+61764,NORTHERN MONTANA HOSPITAL,30 13TH ST,HAVRE,MT,59501,HILL,(406) 265-2211,Acute Care Hospitals,Voluntary non-profit - Private
+78222,OSCEOLA COMMUNITY HOSPITAL,600 9TH AVENUE NORTH,SIBLEY,IA,51249,OSCEOLA,(712) 754-2574,Critical Access Hospitals,Voluntary non-profit - Private
+26952,TENNOVA HEALTHCARE-HARTON,1801 N JACKSON ST BOX 460,TULLAHOMA,TN,37388,COFFEE,(931) 393-3000,Acute Care Hospitals,Voluntary non-profit - Other
+35402,MEADVILLE MEDICAL CENTER,751 LIBERTY STREET,MEADVILLE,PA,16335,CRAWFORD,(814) 333-5000,Acute Care Hospitals,Voluntary non-profit - Private
+53891,PENN HIGHLANDS BROOKVILLE,100 HOSPITAL ROAD,BROOKVILLE,PA,15825,JEFFERSON,(814) 849-2312,Critical Access Hospitals,Voluntary non-profit - Private
+72691,HEALTHMARK REGIONAL MEDICAL CENTER,4413 US HWY 331 S,DEFUNIAK SPRINGS,FL,32435,WALTON,(850) 951-4500,Acute Care Hospitals,Proprietary
+90638,LILLIAN M HUDSPETH MEMORIAL HOSPITAL,308 HUDSPETH,SONORA,TX,76950,SUTTON,(325) 387-2521,Critical Access Hospitals,Government - Hospital District or Authority
+74120,UNIVERSITY OF ILLINOIS HOSPITAL,1740 WEST TAYLOR ST SUITE 1400,CHICAGO,IL,60612,COOK,(312) 996-3900,Acute Care Hospitals,Government - State
+57403,WARM SPRINGS MEDICAL CENTER,5995 SPRING STREET,WARM SPRINGS,GA,31830,MERIWETHER,(706) 655-9351,Critical Access Hospitals,Voluntary non-profit - Other
+58456,INTEGRIS HEALTH EDMOND,4801 INTEGRIS PARKWAY,EDMOND,OK,73034,OKLAHOMA,(405) 657-3000,Acute Care Hospitals,Voluntary non-profit - Private
+65396,HOLY CROSS HOSPITAL A DIV OF TAOS HEALTH SYSTEMS,1397 WEIMER ROAD,TAOS,NM,87571,TAOS,(575) 758-8883,Critical Access Hospitals,Voluntary non-profit - Private
+28656,HOSPITAL OF UNIV OF PENNSYLVANIA,34TH & SPRUCE STS,PHILADELPHIA,PA,19104,PHILADELPHIA,(215) 662-3227,Acute Care Hospitals,Voluntary non-profit - Private
+68941,SOUTHWESTERN VIRGINIA MENTAL HEALTH INSTITUTE,340 BAGLEY CIRCLE,MARION,VA,24354,SMYTH,(276) 783-1200,Psychiatric,Government - State
+53134,COBLESKILL REGIONAL HOSPITAL,178 GRANDVIEW DRIVE,COBLESKILL,NY,12043,SCHOHARIE,(518) 254-3456,Critical Access Hospitals,Voluntary non-profit - Private
+39620,"NEBRASKA SPINE HOSPITAL, LLC","P O BOX 34400, 6901 NORTH 72ND ST, STE 20300",OMAHA,NE,68122,DOUGLAS,(402) 572-3000,Acute Care Hospitals,Proprietary
+54193,SOUTHERN WINDS,4225 W 20TH AVE,HIALEAH,FL,33012,MIAMI-DADE,(305) 558-9700,Psychiatric,Proprietary
+76826,MEMORIAL HOSPITAL,1204 MOUND ST,NACOGDOCHES,TX,75961,NACOGDOCHES,(936) 564-4611,Acute Care Hospitals,Government - Hospital District or Authority
+40357,PIEDMONT COLUMBUS REGIONAL MIDTOWN,710 CENTER STREET,COLUMBUS,GA,31901,MUSCOGEE,(706) 571-1000,Acute Care Hospitals,Voluntary non-profit - Other
+48576,BAPTIST MEMORIAL HOSPITAL,6019 WALNUT GROVE ROAD,MEMPHIS,TN,38120,SHELBY,(901) 226-5000,Acute Care Hospitals,Voluntary non-profit - Private
+76729,"OCHSNER MEDICAL CENTER - NORTHSHORE, L L C",100 MEDICAL CENTER DRIVE,SLIDELL,LA,70461,ST. TAMMANY,(985) 646-5000,Acute Care Hospitals,Voluntary non-profit - Private
+84596,SOUTH BEACH PSYCHIATRIC CENTER,777 SEAVIEW AVE,STATEN ISLAND,NY,10305,RICHMOND,(718) 667-2300,Psychiatric,Government - State
+89650,MIDWEST ORTHOPEDIC SPECIALTY HOSPITAL,10101 SOUTH 27TH ST  2ND FLOOR,FRANKLIN,WI,53132,MILWAUKEE,(414) 817-5800,Acute Care Hospitals,Physician
+59973,MID VALLEY HOSPITAL,810 JASMINE STREET,OMAK,WA,98841,OKANOGAN,(509) 826-1760,Critical Access Hospitals,Government - Hospital District or Authority
+53505,"PEAK BEHAVIORAL HEALTH SERVICES, LLC","5065 MCNUTT ROAD (BLDG'S B, C & D)",SANTA TERESA,NM,88008,DONA ANA,(575) 589-3000,Psychiatric,Proprietary
+79477,ST MARY'S MEDICAL CENTER,450 STANYAN ST,SAN FRANCISCO,CA,94117,SAN FRANCISCO,(415) 668-1000,Acute Care Hospitals,Voluntary non-profit - Private
+72043,ADVOCATE LUTHERAN GENERAL HOSPITAL,1775 DEMPSTER ST,PARK RIDGE,IL,60068,COOK,(847) 723-2210,Acute Care Hospitals,Voluntary non-profit - Church
+42206,BECKLEY ARH HOSPITAL,306 STANAFORD ROAD,BECKLEY,WV,25801,RALEIGH,(304) 255-3456,Acute Care Hospitals,Voluntary non-profit - Private
+54124,SENTARA RMH MEDICAL CENTER,2010 HEALTH CAMPUS DRIVE,HARRISONBURG,VA,22801,HARRISONBURG CITY,(540) 689-1000,Acute Care Hospitals,Voluntary non-profit - Private
+12536,TUCSON MEDICAL CENTER,5301 EAST GRANT ROAD,TUCSON,AZ,85712,PIMA,(520) 327-5461,Acute Care Hospitals,Voluntary non-profit - Private
+80054,THIBODAUX REGIONAL MEDICAL CENTER,602 N ACADIA ROAD,THIBODAUX,LA,70301,LAFOURCHE,(985) 447-5500,Acute Care Hospitals,Government - Hospital District or Authority
+43234,"LIVINGSTON HOSPITAL AND HEALTHCARE SERVICES, INC",131 HOSPITAL DRIVE,SALEM,KY,42078,LIVINGSTON,(270) 988-2299,Critical Access Hospitals,Voluntary non-profit - Private
+68697,UAMS MEDICAL CENTER,4301 WEST MARKHAM STREET MAIL SLOT 612,LITTLE ROCK,AR,72205,PULASKI,(501) 686-5000,Acute Care Hospitals,Government - State
+30553,UNICOI COUNTY  HOSPITAL,2030 TEMPLE HILL ROAD,ERWIN,TN,37650,UNICOI,(423) 743-3141,Acute Care Hospitals,Voluntary non-profit - Private
+33812,AVERA MERRILL PIONEER HOSPITAL,1100 S 10TH AVE,ROCK RAPIDS,IA,51246,LYON,(712) 472-2591,Critical Access Hospitals,Voluntary non-profit - Private
+12333,PENN HIGHLANDS HUNTINDON,1225 WARM SPRINGS AVE,HUNTINGDON,PA,16652,HUNTINGDON,(814) 643-2290,Acute Care Hospitals,Voluntary non-profit - Other
+87124,CHESHIRE MEDICAL CENTER,580 COURT STREET,KEENE,NH,3431,CHESHIRE,(603) 354-5400,Acute Care Hospitals,Voluntary non-profit - Private
+41541,UT SOUTHWESTERN UNIVERSITY HOSPITAL-ZALE LIPSHY,5151 HARRY HINES BLVD,DALLAS,TX,75390,DALLAS,(214) 879-3758,Acute Care Hospitals,Government - State
+44666,HENRY FORD ALLEGIANCE HEALTH,205 N EAST AVE,JACKSON,MI,49201,JACKSON,(517) 788-4800,Acute Care Hospitals,Voluntary non-profit - Other
+67189,ALICE HYDE MEDICAL CENTER,133 PARK STREET,MALONE,NY,12953,FRANKLIN,(518) 483-3000,Acute Care Hospitals,Voluntary non-profit - Other
+68133,KAISER FOUNDATION HOSPITAL - SAN FRANCISCO,2425 GEARY BLVD,SAN FRANCISCO,CA,94115,SAN FRANCISCO,(415) 833-2646,Acute Care Hospitals,Voluntary non-profit - Private
+52274,KADLEC REGIONAL MEDICAL CENTER,888 SWIFT BLVD,RICHLAND,WA,99352,BENTON,(509) 946-4611,Acute Care Hospitals,Voluntary non-profit - Private
+71021,PROVIDENCE NEWBERG MEDICAL CENTER,1001 PROVIDENCE DRIVE,NEWBERG,OR,97132,YAMHILL,(503) 537-1555,Acute Care Hospitals,Voluntary non-profit - Church
+40944,MEMORIAL HOSPITAL OF LAFAYETTE COUNTY,800 CLAY ST,DARLINGTON,WI,53530,LAFAYETTE,(608) 776-4466,Critical Access Hospitals,Government - Local
+28676,WELCH COMMUNITY HOSPITAL,454 MCDOWELL STREET,WELCH,WV,24801,MC DOWELL,(304) 436-8461,Acute Care Hospitals,Government - State
+67487,ADVENTIST LA GRANGE MEMORIAL HOSPITAL,5101 S WILLOW SPRINGS RD,LA GRANGE,IL,60525,COOK,(708) 352-1200,Acute Care Hospitals,Voluntary non-profit - Church
+64741,COOSA VALLEY MEDICAL CENTER,315 W HICKORY ST,SYLACAUGA,AL,35150,TALLADEGA,(256) 249-5000,Acute Care Hospitals,Government - Hospital District or Authority
+16287,"WEST CHESTER HOSPITAL, LLC",7700 UNIVERSITY DRIVE,WEST CHESTER,OH,45069,BUTLER,(513) 298-7700,Acute Care Hospitals,Voluntary non-profit - Private
+85210,DAVIS REGIONAL MEDICAL CENTER,218 OLD MOCKSBVILLE RD PO BOX 1823,STATESVILLE,NC,28687,IREDELL,(704) 873-0281,Acute Care Hospitals,Proprietary
+56308,SOUTHWEST HEALTHCARE SYSTEM,25500 MEDICAL CENTER DRIVE,MURRIETA,CA,92562,RIVERSIDE,(951) 696-6000,Acute Care Hospitals,Proprietary
+76536,MIDDLE PARK MEDICAL CENTER,214 4TH ST,KREMMLING,CO,80459,GRAND,(970) 724-3442,Critical Access Hospitals,Government - Hospital District or Authority
+25071,COMM BEHAVIORAL HEALTH HOSP,1610 8TH AVENUE EAST,ALEXANDRIA,MN,56308,DOUGLAS,(320) 335-6201,Psychiatric,Government - State
+78883,DALLAS BEHAVIORAL HEALTHCARE HOSPITAL LLC,800 KIRNWOOD DRIVE,DE SOTO,TX,75115,DALLAS,(972) 296-1005,Psychiatric,Proprietary
+90241,STATEN ISLAND UNIVERSITY HOSPITAL,475 SEAVIEW AVENUE,STATEN ISLAND,NY,10305,RICHMOND,(418) 226-9761,Acute Care Hospitals,Voluntary non-profit - Private
+67307,ASCENSION ST MICHAELS HOSPITAL,900 ILLINOIS AVE,STEVENS POINT,WI,54481,PORTAGE,(715) 346-5000,Acute Care Hospitals,Voluntary non-profit - Church
+87472,PONDERA MEDICAL CENTER,805 SUNSET BLVD,CONRAD,MT,59425,PONDERA,(406) 271-3211,Critical Access Hospitals,Voluntary non-profit - Private
+82753,PEACHFORD BEHAVIORAL HEALTH SYSTEM OF ATLANTA,2151 PEACHFORD ROAD,ATLANTA,GA,30338,DE KALB,(770) 455-3200,Psychiatric,Proprietary
+26399,ESSEX COUNTY HOSPITAL CENTER,204 GROVE AVENUE,CEDAR GROVE,NJ,7009,ESSEX,(973) 571-2801,Psychiatric,Government - Local
+11015,TEXAS CHILDRENS HOSP,6621 FANNIN STREET,HOUSTON,TX,77030,HARRIS,(832) 824-1000,Childrens,Voluntary non-profit - Private
+64881,MUSC HEALTH LANCASTER MEDICAL CENTER,800 W MEETING ST,LANCASTER,SC,29720,LANCASTER,(803) 286-1481,Acute Care Hospitals,Proprietary
+27158,STORMONT VAIL HOSPITAL,1500 SW 10TH AVENUE,TOPEKA,KS,66604,SHAWNEE,(785) 354-6121,Acute Care Hospitals,Voluntary non-profit - Private
+74922,COPPER QUEEN COMMUNITY HOSPITAL,101 COLE AVENUE,BISBEE,AZ,85603,COCHISE,(520) 432-6401,Critical Access Hospitals,Voluntary non-profit - Private
+92763,LA PORTE HOSPITAL,1007 LINCOLNWAY,LA PORTE,IN,46350,LA PORTE,(219) 326-1234,Acute Care Hospitals,Voluntary non-profit - Private
+72932,HENRY MAYO NEWHALL  HOSPITAL,23845  MCBEAN PKWY,VALENCIA,CA,91355,LOS ANGELES,(661) 253-8000,Acute Care Hospitals,Voluntary non-profit - Private
+70961,CHRISTUS SPOHN HOSPITAL BEEVILLE,1500 E HOUSTON HWY,BEEVILLE,TX,78102,BEE,(361) 354-2000,Acute Care Hospitals,Voluntary non-profit - Church
+23597,SAINT FRANCIS HOSPITAL MUSKOGEE,300 ROCKEFELLER DRIVE,MUSKOGEE,OK,74401,MUSKOGEE,(918) 682-5501,Acute Care Hospitals,Voluntary non-profit - Private
+84057,SANTA BARBARA COUNTY PSYCHIATRIC HEALTH FACILITY,315 CAMINO DEL REMEDIO,SANTA BARBARA,CA,93110,SANTA BARBARA,(805) 681-5244,Psychiatric,Government - Local
+17450,OKLAHOMA STATE UNIVERSITY MEDICAL CENTER,744 WEST 9TH STREET,TULSA,OK,74127,TULSA,(918) 599-1000,Acute Care Hospitals,Government - State
+14353,CHI HEALTH MIDLANDS,11111 SOUTH 84TH ST,PAPILLION,NE,68046,SARPY,(402) 593-3000,Acute Care Hospitals,Voluntary non-profit - Church
+79355,TEN BROECK TENNESSEE,1 MEDICAL CENTER BLVD 5 WEST,COOKEVILLE,TN,38501,PUTNAM,(931) 783-2075,Psychiatric,Proprietary
+10350,BETHESDA NORTH,10500 MONTGOMERY ROAD,CINCINNATI,OH,45242,HAMILTON,(513) 865-1241,Acute Care Hospitals,Voluntary non-profit - Church
+19072,ADVENTHEALTH PALM COAST,60 MEMORIAL MEDICAL PKWY,PALM COAST,FL,32164,FLAGLER,(386) 586-2000,Acute Care Hospitals,Voluntary non-profit - Church
+68775,NORTH COLORADO MEDICAL CENTER,1801 - 16TH ST,GREELEY,CO,80631,WELD,(970) 810-4121,Acute Care Hospitals,Voluntary non-profit - Private
+46847,HAVENWYCK HOSPITAL,1525 UNIVERSITY DRIVE,AUBURN HILLS,MI,48326,OAKLAND,(248) 373-9200,Psychiatric,Proprietary
+86538,ST JOSEPH'S HOSPITAL - SAVANNAH,11705 MERCY BOULEVARD,SAVANNAH,GA,31419,CHATHAM,(912) 819-4100,Acute Care Hospitals,Voluntary non-profit - Private
+62452,MERCY HOSPITAL OF FOLSOM,1650 CREEKSIDE DRIVE,FOLSOM,CA,95630,SACRAMENTO,(916) 983-7400,Acute Care Hospitals,Voluntary non-profit - Private
+58182,BRAZOSPORT REGIONAL HEALTH SYSTEM,100 MEDICAL DRIVE,LAKE JACKSON,TX,77566,BRAZORIA,(979) 297-4411,Acute Care Hospitals,Voluntary non-profit - Private
+56915,WEST TENNESSEE HEALTHCARE DYERSBURG HOSPITAL,400 EAST TICKLE STREET,DYERSBURG,TN,38024,DYER,(731) 285-2410,Acute Care Hospitals,Proprietary
+58832,PERRY MEMORIAL HOSPITAL,530 PARK AVENUE EAST,PRINCETON,IL,61356,BUREAU,(815) 875-2811,Critical Access Hospitals,Government - Local
+13868,CHARLES A CANNON JR MEMORIAL HOSPITAL,434 HOSPITAL DRIVE,LINVILLE,NC,28646,AVERY,(828) 737-7000,Critical Access Hospitals,Voluntary non-profit - Private
+90670,SAINT JOSEPH MERCY LIVINGSTON HOSPITAL,620 BYRON RD,HOWELL,MI,48843,LIVINGSTON,(517) 545-6000,Acute Care Hospitals,Voluntary non-profit - Other
+36889,ALICE PECK DAY MEMORIAL HOSPITAL,10 ALICE PECK DAY DRIVE,LEBANON,NH,3766,GRAFTON,(603) 448-3121,Critical Access Hospitals,Voluntary non-profit - Private
+91599,OWATONNA HOSPITAL,2250 26TH STREET NORTHWEST,OWATONNA,MN,55060,STEELE,(507) 977-2000,Acute Care Hospitals,Voluntary non-profit - Other
+32489,DEVEREUX TEXAS TREATMENT NETWORK,1150 DEVEREUX DR,LEAGUE CITY,TX,77573,GALVESTON,(281) 335-1000,Psychiatric,Voluntary non-profit - Private
+93885,"SCENIC MOUNTAIN MEDICAL CENTER, A STEWARD FAMILY H",1601 W 11TH PLACE,BIG SPRING,TX,79720,HOWARD,(432) 263-1211,Acute Care Hospitals,Proprietary
+52856,LONGLEAF HOSPITAL,44 VERSAILLES BLVD,ALEXANDRIA,LA,71303,RAPIDES,(318) 445-5111,Psychiatric,Proprietary
+86439,ASPEN MOUNTAIN MEDICAL CENTER,4401 COLLEGE DRIVE,ROCK SPRINGS,WY,82901,SWEETWATER,(307) 448-2758,Acute Care Hospitals,Proprietary
+34599,EL PASO LTAC HOSPTIAL,1221 N COTTON ST 3RD FLOOR,EL PASO,TX,79902,EL PASO,(915) 496-9687,Acute Care Hospitals,Physician
+19933,CARILION STONEWALL JACKSON HOSPITAL,1 HEALTH CIRCLE,LEXINGTON,VA,24450,LEXINGTON CITY,(540) 458-3503,Critical Access Hospitals,Voluntary non-profit - Private
+45576,POWELL VALLEY HOSPITAL,777 AVENUE H,POWELL,WY,82435,PARK,(307) 754-2267,Critical Access Hospitals,Government - Hospital District or Authority
+47493,LUCILE SALTER PACKARD CHILDREN'S HSP AT STANFORD,725 WELCH ROAD,PALO ALTO,CA,94304,SANTA CLARA,(650) 497-8000,Childrens,Voluntary non-profit - Private
+87745,WABASH GENERAL HOSPITAL 1,1418 COLLEGE DRIVE,MOUNT CARMEL,IL,62863,WABASH,(618) 262-8621,Critical Access Hospitals,Government - Hospital District or Authority
+64145,ST JAMES PARISH HOSPITAL,1645 LUTCHER AVENUE,LUTCHER,LA,70071,ST. JAMES,(225) 869-5512,Critical Access Hospitals,Government - Hospital District or Authority
+43646,LEVINDALE HEBREW GERIATRIC CENTER AND HOSPITAL,2434 WEST BELVEDERE AVENUE,BALTIMORE,MD,21209,BALTIMORE CITY,(410) 601-2400,Acute Care Hospitals,Voluntary non-profit - Private
+17121,BETH ISRAEL DEACONESS HOSPITAL - NEEDHAM,148 CHESTNUT STREET,NEEDHAM,MA,2494,NORFOLK,(781) 453-3002,Acute Care Hospitals,Voluntary non-profit - Private
+31859,CHINO VALLEY MEDICAL CENTER,5451 WALNUT AVE,CHINO,CA,91710,SAN BERNARDINO,(909) 627-6111,Acute Care Hospitals,Proprietary
+61363,SCOTT COUNTY HOSPITAL,201 ALBERT AVENUE,SCOTT CITY,KS,67871,SCOTT,(620) 872-5811,Critical Access Hospitals,Voluntary non-profit - Private
+82053,VHS HARLINGEN HOSPITAL COMPANY LLC,2101 PEASE ST,HARLINGEN,TX,78550,CAMERON,(956) 389-1100,Acute Care Hospitals,Proprietary
+14351,VALLEY CHILDREN'S HOSPITAL,9300 VALLEY CHILDRENS PLACE,MADERA,CA,93636,MADERA,(559) 353-5116,Childrens,Voluntary non-profit - Private
+93046,ROPER HOSPITAL,316 CALHOUN ST,CHARLESTON,SC,29401,CHARLESTON,(843) 724-2800,Acute Care Hospitals,Voluntary non-profit - Private
+88451,VALLE VISTA HEALTH SYSTEM,898 E MAIN ST,GREENWOOD,IN,46143,JOHNSON,(317) 883-5300,Psychiatric,Proprietary
+18260,WILSON N JONES REGIONAL MEDICAL CENTER,500 N HIGHLAND AVENUE,SHERMAN,TX,75091,GRAYSON,(903) 870-4611,Acute Care Hospitals,Proprietary
+51654,RIVER CREST HOSP,1636 HUNTERS GLEN ROAD,SAN ANGELO,TX,76901,TOM GREEN,(915) 949-5722,Psychiatric,Proprietary
+59810,CHEROKEE REGIONAL MEDICAL CENTER,300 SIOUX VALLEY DRIVE,CHEROKEE,IA,51012,CHEROKEE,(712) 225-5101,Critical Access Hospitals,Voluntary non-profit - Private
+81544,DOCTORS MEDICAL CENTER,1441 FLORIDA AVENUE,MODESTO,CA,95350,STANISLAUS,(209) 578-1211,Acute Care Hospitals,Proprietary
+29067,GUNDERSEN BOSCOBEL AREA HOSPITAL AND CLINICS,205 PARKER ST,BOSCOBEL,WI,53805,GRANT,(608) 375-4112,Critical Access Hospitals,Voluntary non-profit - Private
+15360,ANDERSON REGIONAL MEDICAL CTR,2124 14 ST,MERIDIAN,MS,39301,LAUDERDALE,(601) 553-6000,Acute Care Hospitals,Voluntary non-profit - Private
+70541,CAREPOINT HEALTH-CHRIST HOSPITAL,176 PALISADE AVE,JERSEY CITY,NJ,7306,HUDSON,(201) 795-8200,Acute Care Hospitals,Voluntary non-profit - Church
+51357,EPHRAIM MCDOWELL FORT LOGAN HOSPITAL,110 METKER TRAIL,STANFORD,KY,40484,LINCOLN,(606) 365-4788,Critical Access Hospitals,Voluntary non-profit - Private
+75506,GREENWOOD COUNTY HOSPITAL,100 W 16TH STREET,EUREKA,KS,67045,GREENWOOD,(620) 583-7451,Critical Access Hospitals,Government - Local
+30337,HOLTON COMMUNITY HOSPITAL,1110 COLUMBINE DRIVE,HOLTON,KS,66436,JACKSON,(785) 364-2116,Critical Access Hospitals,Voluntary non-profit - Private
+79193,WINCHESTER MEDICAL CENTER,1840 AMHERST ST,WINCHESTER,VA,22601,WINCHESTER CITY,(540) 536-8000,Acute Care Hospitals,Voluntary non-profit - Private
+62483,JOHNS HOPKINS BAYVIEW MEDICAL CENTER,4940 EASTERN AVENUE,BALTIMORE,MD,21224,BALTIMORE CITY,(410) 550-0123,Acute Care Hospitals,Voluntary non-profit - Private
+46128,STONEWALL MEMORIAL HOSPITAL,821 NORTH BROADWAY,ASPERMONT,TX,79502,STONEWALL,(940) 989-3551,Critical Access Hospitals,Government - Hospital District or Authority
+61524,UPMC CHILDREN'S HOSPITAL OF PITTSBURGH,ONE CHILDREN'S HOSPITAL DRIVE,PITTSBURGH,PA,15224,ALLEGHENY,(412) 692-5325,Childrens,Voluntary non-profit - Other
+69631,FIRSTHEALTH MONTGOMERY MEMORIAL HOSP,520 ALLEN STREET,TROY,NC,27371,MONTGOMERY,(910) 572-1301,Critical Access Hospitals,Voluntary non-profit - Private
+12524,KULA HOSPITAL,100 KEOKEA PLACE,KULA,HI,96790,MAUI,(808) 878-1221,Critical Access Hospitals,Government - State
+84636,BERTRAND CHAFFEE HOSPITAL,224 EAST MAIN STREET,SPRINGVILLE,NY,14141,ERIE,(716) 592-2871,Acute Care Hospitals,Voluntary non-profit - Church
+64404,BEAUMONT HOSPITAL - TRENTON,5450 FORT STREET,TRENTON,MI,48183,WAYNE,(734) 671-3800,Acute Care Hospitals,Voluntary non-profit - Private
+42977,"APOLLO BEHAVIORAL HEALTH HOSPITAL, L L C",9938 AIRLINE HWY,BATON ROUGE,LA,70809,E. BATON ROUGE,(225) 663-2881,Psychiatric,Proprietary
+39310,SPECIALISTS HOSPITAL SHREVEPORT,1500 LINE AVENUE,SHREVEPORT,LA,71101,CADDO,(318) 213-3800,Acute Care Hospitals,Physician
+81693,ANDREW MCFARLAND MENTAL HLTH CTR,901 SOUTHWIND RD,SPRINGFIELD,IL,62703,SANGAMON,(217) 786-6900,Psychiatric,Government - State
+71395,ST FRANCIS MEDICAL CENTER,2400 ST FRANCIS DRIVE,BRECKENRIDGE,MN,56520,WILKIN,(218) 643-3000,Critical Access Hospitals,Voluntary non-profit - Church
+33459,NICKLAUS CHILDREN'S HOSPITAL,3100 SW 62ND AVE,MIAMI,FL,33155,MIAMI-DADE,(305) 666-6511,Childrens,Voluntary non-profit - Private
+64096,KAU HOSPITAL,1 KAMANI STREET,PAHALA,HI,96777,HAWAII,(808) 928-8331,Critical Access Hospitals,Government - State
+54985,COAST PLAZA HOSPITAL,13100 STUDERBAKER ROAD,NORWALK,CA,90650,LOS ANGELES,(310) 356-0550,Acute Care Hospitals,Proprietary
+71291,TWIN VALLEY BEHAVIORAL HEALTHCARE,2200 WEST BROAD STREET,COLUMBUS,OH,43223,FRANKLIN,(614) 752-0333,Psychiatric,Government - Local
+84023,COVINGTON BEHAVIORAL HEALTH,201 GREENBRIAR BLVD,COVINGTON,LA,70433,ST. TAMMANY,(985) 893-2970,Psychiatric,Proprietary
+21648,"MERCY HOSPITAL ARDMORE, INC","1011 FOURTEENTH AVENUE, NORTHWEST",ARDMORE,OK,73401,CARTER,(580) 223-5400,Acute Care Hospitals,Voluntary non-profit - Private
+86556,MORROW COUNTY HOSPITAL,651 WEST MARION ROAD,MOUNT GILEAD,OH,43338,MORROW,(419) 946-5015,Critical Access Hospitals,Government - Local
+66656,AUGUSTA HEALTH,78 MEDICAL CENTER DRIVE,FISHERSVILLE,VA,22939,AUGUSTA,(540) 932-4000,Acute Care Hospitals,Voluntary non-profit - Private
+61255,TEXAS HEALTH HARRIS METHODIST FORT WORTH,1301 PENNSYLVANIA AVENUE,FORT WORTH,TX,76104,TARRANT,(817) 250-2100,Acute Care Hospitals,Voluntary non-profit - Church
+15488,NORTH MISSISSIPPI STATE HOSPITAL,1937 BRIAR RIDGE RD,TUPELO,MS,38804,LEE,(662) 690-4200,Psychiatric,Government - State
+34555,EPHRAIM MCDOWELL REGIONAL MEDICAL CENTER,217 SOUTH THIRD STREET,DANVILLE,KY,40422,BOYLE,(859) 239-2409,Acute Care Hospitals,Voluntary non-profit - Private
+52765,MERCY HEALTH - ST CHARLES HOSPITAL,2600 NAVARRE AVENUE,OREGON,OH,43616,LUCAS,(419) 696-7200,Acute Care Hospitals,Voluntary non-profit - Church
+29507,MEMORIAL HERMANN HOSPITAL SYSTEM,1635  NORTH LOOP WEST,HOUSTON,TX,77008,HARRIS,(713) 448-6796,Acute Care Hospitals,Voluntary non-profit - Private
+86101,JONES REGIONAL MEDICAL CENTER,1795 HIGHWAY 64 EAST,ANAMOSA,IA,52205,JONES,(319) 462-6131,Critical Access Hospitals,Voluntary non-profit - Private
+76830,TIMPANOGOS REGIONAL HOSPITAL,750 WEST 800 NORTH,OREM,UT,84057,UTAH,(801) 714-6800,Acute Care Hospitals,Proprietary
+51274,MARY GREELEY MEDICAL CENTER,1111 DUFF AVENUE,AMES,IA,50010,STORY,(515) 239-2011,Acute Care Hospitals,Voluntary non-profit - Private
+12449,BRANDYWINE HOSPITAL,201 REECEVILLE ROAD,COATESVILLE,PA,19320,CHESTER,(610) 383-8000,Acute Care Hospitals,Proprietary
+59710,HUMBOLDT GENERAL HOSPITAL,118 EAST HASKELL STREET,WINNEMUCCA,NV,89445,HUMBOLDT,(775) 623-5222,Critical Access Hospitals,Government - Hospital District or Authority
+19899,PHILLIPS EYE INSTITUTE,2215 PARK AVENUE SOUTH,MINNEAPOLIS,MN,55404,HENNEPIN,(612) 775-8751,Acute Care Hospitals,Government - Federal
+93945,FOUNDATION SURGICAL HOSPITAL OF EL PASO,1416 GEORGE DIETER,EL PASO,TX,79936,EL PASO,(915) 598-4240,Acute Care Hospitals,Proprietary
+80674,LAIRD HOSPITAL INC,25117 HIGHWAY 15,UNION,MS,39365,NESHOBA,(601) 774-8214,Critical Access Hospitals,Voluntary non-profit - Private
+71933,WILLOW ROCK CENTER,2050 FAIRMONT DRIVE,SAN LEANDRO,CA,94578,ALAMEDA,(510) 895-5502,Psychiatric,Proprietary
+29865,TRMC OF ORANGEBURG & CALHOUN,3000 ST MATTHEWS RD BOX 1806,ORANGEBURG,SC,29115,ORANGEBURG,(803) 533-2460,Acute Care Hospitals,Government - Local
+51818,NORTH TAMPA BEHAVIORAL HEALTH,29910 SR 56,WESLEY CHAPEL,FL,33543,PASCO,(813) 333-0000,Psychiatric,Voluntary non-profit - Private
+18886,OAK HILL HOSPITAL,11375 CORTEZ BLVD,BROOKSVILLE,FL,34613,HERNANDO,(352) 596-6632,Acute Care Hospitals,Voluntary non-profit - Other
+50054,ASCENSION ST MARY'S HOSPITAL,800 S WASHINGTON AVENUE,SAGINAW,MI,48601,SAGINAW,(989) 776-8000,Acute Care Hospitals,Voluntary non-profit - Church
+15406,"CUBA MEMORIAL HOSPITAL, INC",140 WEST MAIN STREET,CUBA,NY,14727,ALLEGANY,(585) 961-2000,Critical Access Hospitals,Voluntary non-profit - Private
+56699,"MEDICAL CENTER OF PEACH COUNTY, NAVICENT HEALTH",1960 HIGHWAY 247 CONNECTOR,BYRON,GA,31008,PEACH,(478) 654-2000,Critical Access Hospitals,Government - Hospital District or Authority
+56115,MENIFEE GLOBAL MEDICAL CENTER,28400 MCCALL B0ULEVARD,SUN CITY,CA,92585,RIVERSIDE,(951) 679-8888,Acute Care Hospitals,Physician
+11765,SAN ANTONIO STATE HOSPITAL,6711 S NEW BRAUNFELS AVE,SAN ANTONIO,TX,78223,BEXAR,(210) 531-7711,Psychiatric,Government - State
+15549,BOB WILSON MEMORIAL GRANT COUNTY HOSPITAL,415 N MAIN STREET,ULYSSES,KS,67880,GRANT,(620) 356-1266,Acute Care Hospitals,Proprietary
+68400,UH ST JOHN MEDICAL CENTER,29000 CENTER RIDGE ROAD,WESTLAKE,OH,44145,CUYAHOGA,(440) 835-8000,Acute Care Hospitals,Voluntary non-profit - Private
+38122,OASIS BEHAVIORAL HEALTH HOSPITAL,2190 NORTH GRACE BOULEVARD,CHANDLER,AZ,85225,MARICOPA,(480) 917-9301,Psychiatric,Proprietary
+11705,ROSE MEDICAL CENTER,4567 E 9TH AVE,DENVER,CO,80220,DENVER,(303) 320-2121,Acute Care Hospitals,Proprietary
+16596,SOUTHEAST MISSOURI MENTAL HLTH CTR,1010 WEST COLUMBIA STREET,FARMINGTON,MO,63640,ST. FRANCOIS,(573) 218-6792,Psychiatric,Government - State
+81719,BROWNWOOD REGIONAL MEDICAL CENTER,1501 BURNET DR,BROWNWOOD,TX,76801,BROWN,(325) 646-8541,Acute Care Hospitals,Proprietary
+86240,UNITY PSYCHIATRIC CARE - HUNTSVILLE,"5315 MILLENIUM DRIVE, NW",HUNTSVILLE,AL,35806,MADISON,(256) 964-6700,Psychiatric,Proprietary
+80479,HILLSBORO AREA HOSPITAL,1200 E TREMONT STREET,HILLSBORO,IL,62049,MONTGOMERY,(217) 532-6111,Critical Access Hospitals,Voluntary non-profit - Private
+36272,SEVIER VALLEY HOSPITAL,1000 NORTH MAIN STREET,RICHFIELD,UT,84701,SEVIER,(435) 893-4100,Acute Care Hospitals,Voluntary non-profit - Private
+36864,BANNER LASSEN MEDICAL CENTER,1800 SPRING RIDGE DRIVE,SUSANVILLE,CA,96130,LASSEN,(530) 252-2000,Critical Access Hospitals,Voluntary non-profit - Private
+89636,ORLANDO HEALTH ORLANDO REGIONAL MEDICAL CENTER,52 W UNDERWOOD ST,ORLANDO,FL,32806,ORANGE,(321) 843-8000,Acute Care Hospitals,Voluntary non-profit - Private
+87840,ERIE COUNTY MEDICAL CENTER,462 GRIDER STREET,BUFFALO,NY,14215,ERIE,(716) 898-3936,Acute Care Hospitals,Voluntary non-profit - Private
+37526,ALLIANCEHEALTH PONCA CITY,1900 NORTH 14TH STREET,PONCA CITY,OK,74601,KAY,(580) 765-3301,Acute Care Hospitals,Proprietary
+12906,"COMMUNITY HOSPITAL, ONAGA AND ST MARYS CAMPUS",120 WEST 8TH STREET,ONAGA,KS,66521,POTTAWATOMIE,(785) 889-4272,Critical Access Hospitals,Government - Hospital District or Authority
+49290,ORTHOPEDIC SPECIALTY HOSPITAL OF NEVADA,8656 WEST PATRICK LANE,LAS VEGAS,NV,89148,CLARK,(702) 777-7100,Acute Care Hospitals,Voluntary non-profit - Private
+43794,MONONGALIA COUNTY GENERAL HOSPITAL,1200 JD ANDERSON DRIVE,MORGANTOWN,WV,26505,MONONGALIA,(304) 598-1200,Acute Care Hospitals,Voluntary non-profit - Private
+36870,GREENVILLE REGIONAL HOSPITAL,200 HEALTH CARE DR,GREENVILLE,IL,62246,BOND,(618) 664-1230,Acute Care Hospitals,Voluntary non-profit - Private
+69460,ST MARY MERCY HOSPITAL,36475 FIVE MILE ROAD,LIVONIA,MI,48154,WAYNE,(734) 655-4800,Acute Care Hospitals,Voluntary non-profit - Private
+66495,LAKEWOOD HEALTH SYSTEM,49725 COUNTY ROAD 83,STAPLES,MN,56479,TODD,(218) 894-1515,Critical Access Hospitals,Voluntary non-profit - Other
+47751,JOHN MUIR MEDICAL CENTER - WALNUT CREEK CAMPUS,1601 YGNACIO VALLEY RD,WALNUT CREEK,CA,94598,CONTRA COSTA,(925) 939-3000,Acute Care Hospitals,Voluntary non-profit - Other
+71958,IRWIN COUNTY HOSPITAL,710 N IRWIN AVENUE,OCILLA,GA,31774,IRWIN,(229) 468-3845,Acute Care Hospitals,Government - Hospital District or Authority
+18120,EMIL J FREIREICH CANCER CENTER,9201 PINECROFT,SHENANDOAH,TX,77380,MONTGOMERY,(855) 353-2201,Acute Care Hospitals,Proprietary
+56158,SHRINERS HOSPITALS FOR CHILDREN NORTHERN CALIF,2425 STOCKTON BOULEVARD,SACRAMENTO,CA,95817,SACRAMENTO,(916) 453-2000,Childrens,Voluntary non-profit - Private
+85566,LANE COUNTY HOSPITAL,235 WEST VINE  PO BOX 969,DIGHTON,KS,67839,LANE,(620) 397-5321,Critical Access Hospitals,Government - Hospital District or Authority
+54071,GUAM MEMORIAL HOSPITAL AUTHORITY,85O GOV CARLOS G CAMACHO ROAD,TAMUNING,GU,96913,GUAM,(671) 647-2552,Acute Care Hospitals,Government - Local
+76682,GRAHAM HOSPITAL ASSOCIATION,210 WEST WALNUT STREET,CANTON,IL,61520,FULTON,(309) 647-5240,Acute Care Hospitals,Voluntary non-profit - Private
+23788,GRACE COTTAGE HOSPITAL,PO BOX 216,TOWNSHEND,VT,5353,WINDHAM,(802) 365-7920,Critical Access Hospitals,Voluntary non-profit - Private
+54461,PALM BAY HOSPITAL,"1425 MALABAR RD, NE",PALM BAY,FL,32907,BREVARD,(321) 434-8000,Acute Care Hospitals,Proprietary
+69432,"WOODS AT PARKSIDE,THE",349 OLDE RIDENOUR ROAD,COLUMBUS,OH,43230,FRANKLIN,(614) 471-2552,Acute Care Hospitals,Proprietary
+13409,COMMUNITY HOSPITALS AND WELLNESS CENTERS,909 EAST SNYDER AVENUE,MONTPELIER,OH,43543,WILLIAMS,(419) 485-3154,Critical Access Hospitals,Voluntary non-profit - Private
+20131,ABBOTT NORTHWESTERN HOSPITAL,800 EAST 28TH STREET,MINNEAPOLIS,MN,55407,HENNEPIN,(612) 863-4457,Acute Care Hospitals,Voluntary non-profit - Private
+53365,OGALLALA COMMUNITY HOSPITAL,2601 NORTH SPRUCE ST,OGALLALA,NE,69153,KEITH,(308) 284-4011,Critical Access Hospitals,Government - Hospital District or Authority
+21240,PEMBINA COUNTY MEMORIAL HOSPITAL,BOX 380,CAVALIER,ND,58220,PEMBINA,(701) 265-8461,Critical Access Hospitals,Voluntary non-profit - Private
+63995,ST MARY'S REGIONAL MEDICAL CENTER,93 CAMPUS AVENUE - PO BOX 291,LEWISTON,ME,4243,ANDROSCOGGIN,(207) 777-8100,Acute Care Hospitals,Voluntary non-profit - Private
+46821,GALION COMMUNITY HOSPITAL,269 PORTLAND WAY SOUTH,GALION,OH,44833,CRAWFORD,(419) 468-4841,Critical Access Hospitals,Voluntary non-profit - Church
+33402,MICHIANA BEHAVIORAL HEALTH CENTER,1800 N OAK RD,PLYMOUTH,IN,46563,MARSHALL,(574) 936-3784,Psychiatric,Voluntary non-profit - Other
+80483,JEFFERSON HOSPITAL,1067 PEACHTREE ST,LOUISVILLE,GA,30434,JEFFERSON,(478) 625-7000,Acute Care Hospitals,Government - Hospital District or Authority
+37542,CLEVELAND CLINIC HOSPITAL,3100 WESTON RD,WESTON,FL,33331,BROWARD,(954) 689-5000,Acute Care Hospitals,Voluntary non-profit - Private
+41807,UNIVERSITY OF COLORADO HOSPITAL AUTHORITY,12605 E 16TH AVE,AURORA,CO,80045,ADAMS,(720) 848-0000,Acute Care Hospitals,Government - Hospital District or Authority
+19527,FAIRVIEW DEVELOPMENTAL CENTER,2501 HARBOR BOULEVARD,COSTA MESA,CA,92626,ORANGE,(714) 957-5000,Acute Care Hospitals,Government - Local
+77959,JASPER MEMORIAL HOSPITAL,898 COLLEGE STREET,MONTICELLO,GA,31064,JASPER,(706) 468-6411,Critical Access Hospitals,Government - Local
+52023,PORTER REGIONAL HOSPITAL,85 EAST US HWY 6,VALPARAISO,IN,46383,PORTER,(219) 983-8300,Acute Care Hospitals,Proprietary
+89990,VALOR HEALTH,1202 EAST LOCUST STREET,EMMETT,ID,83617,GEM,(208) 365-3561,Critical Access Hospitals,Government - Local
+53281,MAYO CLINIC HEALTH SYSTEM-WASECA,501 NORTH STATE STREET,WASECA,MN,56093,WASECA,(507) 835-1210,Critical Access Hospitals,Voluntary non-profit - Private
+16297,WESTERN MENTAL HEALTH INSTITUTE,11100 OLD HWY 64 WEST,BOLIVAR,TN,38008,HARDEMAN,(731) 228-2000,Psychiatric,Government - Local
+87280,CENTRACARE HEALTH - MONTICELLO,1013 HART BOULEVARD,MONTICELLO,MN,55362,WRIGHT,(763) 295-2945,Critical Access Hospitals,Voluntary non-profit - Private
+23854,LOUIS A WEISS MEMORIAL HOSPITAL,4646 N MARINE DRIVE,CHICAGO,IL,60640,COOK,(773) 878-8700,Acute Care Hospitals,Proprietary
+82639,LOVELACE WESTSIDE HOSPITAL,10501 GOLF COURSE ROAD NW,ALBUQUERQUE,NM,87114,BERNALILLO,(505) 727-2001,Acute Care Hospitals,Proprietary
+61259,RESEARCH MEDICAL CENTER,2316 E MEYER BLVD,KANSAS CITY,MO,64132,JACKSON,(816) 276-4000,Acute Care Hospitals,Proprietary
+87905,MH ST ELIZABETH YOUNGSTOWN HOSPITAL,1044 BELMONT AVENUE,YOUNGSTOWN,OH,44501,MAHONING,(330) 480-3962,Acute Care Hospitals,Voluntary non-profit - Church
+10257,BHC STREAMWOOD HOSPITAL INC,1400 E IRVING PARK ROAD,STREAMWOOD,IL,60107,COOK,(630) 837-9000,Psychiatric,Proprietary
+60811,EAST MORGAN COUNTY HOSPITAL,2400 WEST EDISON STREET,BRUSH,CO,80723,MORGAN,(970) 842-6222,Critical Access Hospitals,Government - Hospital District or Authority
+56432,AURORA LAKELAND MEDICAL CENTER,W3985 COUNTY ROAD NN,ELKHORN,WI,53121,WALWORTH,(262) 741-2000,Acute Care Hospitals,Voluntary non-profit - Private
+33562,UNIVERSITY OF MICHIGAN HEALTH SYSTEM,"1500 E MEDICAL CENTER DRIVE, SPC 5474",ANN ARBOR,MI,48109,WASHTENAW,(734) 764-1505,Acute Care Hospitals,Voluntary non-profit - Private
+69338,"MERCY HOSPITAL HEALDTON, INC.",3462 HOSPITAL RD,HEALDTON,OK,73438,CARTER,(580) 229-0701,Critical Access Hospitals,Voluntary non-profit - Private
+58033,ORTHOPAEDIC HOSPITAL AT PARKVIEW NORTH LLC,11130 PARKVIEW CIRCLE DR,FORT WAYNE,IN,46845,ALLEN,(260) 672-4050,Acute Care Hospitals,Voluntary non-profit - Private
+44037,ST VINCENT NEIGHBORHOOD HOSPITAL,9613 EAST US HIGHWAY 36,AVON,IN,46123,HENDRICKS,(317) 703-1999,Acute Care Hospitals,Proprietary
+39377,STILLWATER BILLINGS CLINIC,710 N 11TH ST,COLUMBUS,MT,59019,STILLWATER,(406) 322-5316,Critical Access Hospitals,Voluntary non-profit - Private
+10460,CHICAGO BEHAVIORAL HOSPITAL,555 WILSON LANE,DES PLAINES,IL,60016,COOK,(847) 768-5430,Psychiatric,Proprietary
+66859,NAVARRO REGIONAL HOSPITAL,3201 WEST HIGHWAY 22,CORSICANA,TX,75110,NAVARRO,(903) 654-6800,Acute Care Hospitals,Government - Hospital District or Authority
+73179,ADVOCATE GOOD SHEPHERD HOSPITAL,450 WEST HIGHWAY 22,BARRINGTON,IL,60010,LAKE,(847) 381-9600,Acute Care Hospitals,Voluntary non-profit - Church
+57990,RIDGEVIEW SIBLEY MEDICAL CENTER,601 WEST CHANDLER,ARLINGTON,MN,55307,SIBLEY,(507) 964-8415,Critical Access Hospitals,Voluntary non-profit - Private
+14165,P H S INDIAN HOSPITAL CROW / NORTHERN CHEYENNE,"1010 SOUTH 7650 EAST, POST OFFICE BOX 9",CROW AGENCY,MT,59022,BIG HORN,(406) 638-2626,Critical Access Hospitals,Government - Federal
+72353,WAYNE GENERAL HOSPITAL,950 MATTHEW DR,WAYNESBORO,MS,39367,WAYNE,(601) 735-5151,Acute Care Hospitals,Government - Local
+23678,ST LUKE'S WARREN HOSPITAL,185 ROSEBERRY ST,PHILLIPSBURG,NJ,8865,WARREN,(908) 847-6700,Acute Care Hospitals,Voluntary non-profit - Other
+80513,LOYOLA GOTTLIEB MEMORIAL HOSPITAL,701 WEST NORTH AVE,MELROSE PARK,IL,60160,COOK,(708) 681-3200,Acute Care Hospitals,Voluntary non-profit - Private
+44111,SAMPSON REGIONAL MEDICAL CENTER,607 BEAMAN ST,CLINTON,NC,28328,SAMPSON,(910) 592-8511,Acute Care Hospitals,Government - Local
+38785,FAIRMOUNT BEHAVIORAL HEALTH SYSTEM,561 FAIRTHORNE AVENUE,PHILADELPHIA,PA,19128,PHILADELPHIA,(215) 487-4000,Psychiatric,Proprietary
+12069,UMD PRINCE GEORGE'S HOSPITAL CTR,3001 HOSPITAL DRIVE,CHEVERLY,MD,20785,PRINCE GEORGES,(301) 618-2000,Acute Care Hospitals,Voluntary non-profit - Private
+23723,ST FRANCIS MEMORIAL HOSPITAL,430 NORTH MONITOR ST,WEST POINT,NE,68788,CUMING,(402) 372-2404,Critical Access Hospitals,Voluntary non-profit - Private
+19328,SCHEURER HOSPITAL,170 N CASEVILLE RD,PIGEON,MI,48755,HURON,(989) 453-3223,Critical Access Hospitals,Voluntary non-profit - Other
+49395,LINCOLN COUNTY HOSPITAL,624 N SECOND,LINCOLN,KS,67455,LINCOLN,(785) 524-4403,Critical Access Hospitals,Government - Local
+36325,ST LUKE'S NAMPA MEDICAL CENTER,9850 W ST LUKES DRIVE STE 250,NAMPA,ID,83687,CANYON,(208) 505-2000,Acute Care Hospitals,Voluntary non-profit - Private
+51377,ST JOSEPH HOSPITAL,2901 SQUALICUM PARKWAY,BELLINGHAM,WA,98225,WHATCOM,(360) 734-5400,Acute Care Hospitals,Voluntary non-profit - Other
+68944,MAYO CLINIC HEALTH SYSTEM IN EAU CLAIRE,1221 WHIPPLE ST,EAU CLAIRE,WI,54703,EAU CLAIRE,(715) 838-3311,Acute Care Hospitals,Voluntary non-profit - Private
+62033,EASTSIDE MEDICAL CENTER,1700 MEDICAL WAY,SNELLVILLE,GA,30078,GWINNETT,(770) 736-2498,Acute Care Hospitals,Proprietary
+78027,ADVENTIST HEALTH VALLEJO,525 OREGON ST,VALLEJO,CA,94590,SOLANO,(707) 648-2200,Psychiatric,Voluntary non-profit - Private
+89226,ELKVIEW GENERAL HOSPITAL,429 WEST ELM STREET,HOBART,OK,73651,KIOWA,(580) 726-3324,Acute Care Hospitals,Government - Hospital District or Authority
+89510,MENDOTA MENTAL HEALTH INSTITUTE,301 TROY DR,MADISON,WI,53704,DANE,(608) 301-1000,Psychiatric,Government - State
+11168,ST JOHN OWASSO,12451 EAST 100TH STREET NORTH,OWASSO,OK,74055,TULSA,(918) 274-5100,Acute Care Hospitals,Voluntary non-profit - Private
+38720,AUDUBON COUNTY MEMORIAL HOSPITAL,515 PACIFIC AVENUE,AUDUBON,IA,50025,AUDUBON,(712) 563-2611,Critical Access Hospitals,Government - Local
+83050,CHRISTUS ST FRANCES CABRINI HOSPITAL,3330 MASONIC DRIVE,ALEXANDRIA,LA,71301,RAPIDES,(318) 487-1122,Acute Care Hospitals,Voluntary non-profit - Private
+34386,INDIANA UNIVERSITY HEALTH WHITE MEMORIAL HOSPITAL,720 SOUTH SIXTH ST,MONTICELLO,IN,47960,WHITE,(574) 583-7111,Critical Access Hospitals,Voluntary non-profit - Private
+64131,CENTRAL MONTANA MEDICAL CENTER,408 WENDELL AVE,LEWISTOWN,MT,59457,FERGUS,(406) 535-7711,Critical Access Hospitals,Voluntary non-profit - Private
+74723,NEW ENGLAND BAPTIST HOSPITAL,125 PARKER HILL AVENUE,BOSTON,MA,2120,SUFFOLK,(617) 754-5800,Acute Care Hospitals,Voluntary non-profit - Private
+63182,SPARROW CARSON HOSPITAL,406 EAST ELM ST,CARSON CITY,MI,48811,MONTCALM,(989) 584-3131,Acute Care Hospitals,Voluntary non-profit - Other
+76117,TEXAS HEALTH PRESBYTERIAN HOSPITAL KAUFMAN,850 ED HALL,KAUFMAN,TX,75142,KAUFMAN,(972) 932-7200,Acute Care Hospitals,Voluntary non-profit - Private
+15404,RIDGEVIEW INSTITUTE MONROE,709 BREEDLOVE DRIVE,MONROE,GA,30655,WALTON,(678) 635-8730,Psychiatric,Proprietary
+39299,BLUEGRASS COMMUNITY HOSPITAL,360 AMSDEN AVENUE,VERSAILLES,KY,40383,WOODFORD,(859) 873-3111,Critical Access Hospitals,Proprietary
+42735,AVERA FLANDREAU HOSPITAL - CAH,214 NORTH PRAIRIE STREET,FLANDREAU,SD,57028,MOODY,(605) 997-2433,Critical Access Hospitals,Voluntary non-profit - Private
+25617,BAPTIST MEMORIAL HOSPITAL NORTH MS,1100 BELK BLVD,OXFORD,MS,38655,LAFAYETTE,(662) 232-8100,Acute Care Hospitals,Voluntary non-profit - Private
+35975,ESSENTIA HEALTH ST MARYS - DETROIT LAKES,1027 WASHINGTON AVE,DETROIT LAKES,MN,56501,BECKER,(218) 847-0888,Acute Care Hospitals,Voluntary non-profit - Church
+46326,SOUTHEAST GEORGIA HEALTH SYSTEM- BRUNSWICK CAMPUS,2415 PARKWOOD DRIVE,BRUNSWICK,GA,31520,GLYNN,(912) 466-7000,Acute Care Hospitals,Government - Hospital District or Authority
+48975,ST MARY'S HOSPITAL,1230 BAXTER STREET,ATHENS,GA,30606,CLARKE,(706) 389-3930,Acute Care Hospitals,Voluntary non-profit - Private
+18078,TORRANCE MEMORIAL MEDICAL CENTER,3330 LOMITA BLVD,TORRANCE,CA,90509,LOS ANGELES,(310) 325-9110,Acute Care Hospitals,Voluntary non-profit - Other
+92953,ST MARY'S MEDICAL CENTER,901 45TH ST,WEST PALM BEACH,FL,33407,PALM BEACH,(561) 840-6202,Acute Care Hospitals,Proprietary
+57752,MERCY GILBERT MEDICAL CENTER,3555 SOUTH VAL VISTA DRIVE,GILBERT,AZ,85297,MARICOPA,(480) 728-8000,Acute Care Hospitals,Voluntary non-profit - Church
+49371,SOUTH FLORIDA BAPTIST HOSPITAL,301 N ALEXANDER ST,PLANT CITY,FL,33563,HILLSBOROUGH,(813) 757-1200,Acute Care Hospitals,Voluntary non-profit - Private
+86796,CENTRACARE HEALTH SYSTEM - MELROSE HOSPITAL,525 WEST MAIN STREET,MELROSE,MN,56352,STEARNS,(320) 256-1761,Critical Access Hospitals,Voluntary non-profit - Private
+39646,GRIFFIN MEMORIAL HOSPITAL,900 EAST MAIN STREET,NORMAN,OK,73070,CLEVELAND,(405) 321-4880,Psychiatric,Government - State
+38368,FAULKTON AREA MEDICAL CENTER,1300 OAK STREET  POST OFFICE BOX 100,FAULKTON,SD,57438,FAULK,(605) 598-6262,Critical Access Hospitals,Voluntary non-profit - Private
+45504,REX HOSPITAL,4420 LAKE BOONE TRAIL,RALEIGH,NC,27607,WAKE,(919) 784-3100,Acute Care Hospitals,Government - State
+84620,KANE COUNTY HOSPITAL,355 NORTH MAIN STREET,KANAB,UT,84741,KANE,(435) 644-5811,Critical Access Hospitals,Government - Hospital District or Authority
+72464,JOHN T MATHER MEMORIAL HOSPITAL  OF PORT JEFFERSON,75 NORTH COUNTRY ROAD,PORT JEFFERSON,NY,11777,SUFFOLK,(631) 473-1320,Acute Care Hospitals,Voluntary non-profit - Private
+35150,STONESPRINGS HOSPITAL CENTER,24440 STONE SPRINGS BOULEVARD,DULLES,VA,20166,LOUDOUN,(571) 349-4000,Acute Care Hospitals,Proprietary
+91612,NOCONA GENERAL HOSPITAL,100 PARK ROAD,NOCONA,TX,76255,MONTAGUE,(940) 825-3235,Acute Care Hospitals,Government - Hospital District or Authority
+26784,METROHEALTH SYSTEM,2500 METROHEALTH DRIVE,CLEVELAND,OH,44109,CUYAHOGA,(216) 778-7089,Acute Care Hospitals,Voluntary non-profit - Other
+38208,ST FRANCIS MEDICAL CENTER,309 JACKSON STREET,MONROE,LA,71201,OUACHITA,(318) 966-4000,Acute Care Hospitals,Voluntary non-profit - Private
+24287,ESSENTIA HEALTH HOLY TRINITY HOSPITAL,"115  SECOND STREET WEST, BOX 157",GRACEVILLE,MN,56240,BIG STONE,(320) 748-8200,Critical Access Hospitals,Voluntary non-profit - Private
+11300,NATIONAL JEWISH HEALTH,1400 JACKSON ST,DENVER,CO,80206,DENVER,(303) 388-4461,Acute Care Hospitals,Voluntary non-profit - Private
+46680,SANFORD BEHAVIORAL HEALTH CENTER,120 LABREE AVENUE SOUTH,THIEF RIVER FALLS,MN,56701,PENNINGTON,(218) 681-4240,Psychiatric,Voluntary non-profit - Private
+21899,BERKELEY MEDICAL CENTER,2500 HOSPITAL DRIVE,MARTINSBURG,WV,25401,BERKELEY,(304) 264-1000,Acute Care Hospitals,Voluntary non-profit - Private
+63922,OTTAWA COUNTY HEALTH CENTER,215 E 8TH STREET,MINNEAPOLIS,KS,67467,OTTAWA,(785) 392-2122,Critical Access Hospitals,Voluntary non-profit - Other
+67439,JACKSON HOSPITAL & CLINIC INC,1725 PINE STREET,MONTGOMERY,AL,36106,MONTGOMERY,(334) 293-8000,Acute Care Hospitals,Voluntary non-profit - Private
+92913,JEANES HOSPITAL,7600 CENTRAL AVENUE,PHILADELPHIA,PA,19111,PHILADELPHIA,(215) 728-2000,Acute Care Hospitals,Voluntary non-profit - Private
+65863,CROCKETT MEDICAL CENTER,1100 E LOOP 304,CROCKETT,TX,75835,HOUSTON,(936) 546-3890,Critical Access Hospitals,Proprietary
+54943,EASTERN STATE HOSPITAL,850 MAPLE STREET - P O BOX  A,MEDICAL LAKE,WA,99022,SPOKANE,(509) 565-4000,Psychiatric,Government - State
+54663,JANE TODD CRAWFORD HOSPITAL,202-206 MILBY STREET,GREENSBURG,KY,42743,GREEN,(270) 932-4211,Critical Access Hospitals,Voluntary non-profit - Private
+46179,YUMA REGIONAL MEDICAL CENTER,2400 SOUTH AVENUE A,YUMA,AZ,85364,YUMA,(928) 336-7600,Acute Care Hospitals,Voluntary non-profit - Private
+89867,HIMA SAN PABLO-CAGUAS,AVE LUIS MUNOZ MARIN,CAGUAS,PR,725,CAGUAS,(787) 653-3434,Acute Care Hospitals,Proprietary
+19464,ACADIA GENERAL HOSPITAL,1305 CROWLEY RAYNE HIGHWAY,CROWLEY,LA,70526,ACADIA,(337) 783-3222,Acute Care Hospitals,Voluntary non-profit - Private
+16583,SIOUX FALLS SPECIALTY HOSPITAL LLP,910 EAST 20TH STREET,SIOUX FALLS,SD,57105,MINNEHAHA,(605) 334-6730,Acute Care Hospitals,Proprietary
+61128,OVIEDO MEDICAL CENTER,8300 RED BUG LAKE RD,OVIEDO,FL,32765,SEMINOLE,(407) 890-2100,Acute Care Hospitals,Proprietary
+84727,ATCHISON HOSPITAL,800 RAVIN HILL DRIVE,ATCHISON,KS,66002,ATCHISON,(913) 360-5581,Critical Access Hospitals,Voluntary non-profit - Private
+88396,BENEFIS TETON MEDICAL CENTER,915 4TH ST NW,CHOTEAU,MT,59422,TETON,(406) 466-5763,Critical Access Hospitals,Voluntary non-profit - Private
+14040,FRANKLIN WOODS COMMUNITY HOSPITAL,300 MED TECH PARKWAY,JOHNSON CITY,TN,37604,WASHINGTON,(423) 302-1120,Acute Care Hospitals,Voluntary non-profit - Private
+26023,TRIHEALTH EVENDALE HOSPITAL,3155 GLENDALE MILFORD ROAD,CINCINNATI,OH,45241,HAMILTON,(513) 454-2222,Acute Care Hospitals,Voluntary non-profit - Private
+22627,MIDDLESBORO APPALACHIAN REGIONAL HEALTHCARE HOSPIT,3600 WEST CUMBERLAND AVENUE,MIDDLESBORO,KY,40965,BELL,(606) 242-1100,Acute Care Hospitals,Voluntary non-profit - Private
+48380,REHOBOTH MCKINLEY CHRISTIAN HEALTH CARE SERVICES,1901 RED ROCK DRIVE,GALLUP,NM,87301,MCKINLEY,(505) 863-7000,Acute Care Hospitals,Voluntary non-profit - Private
+27669,BAYLOR SCOTT AND WHITE SURGICAL HOSPITAL AT SHERMA,3601 CALAIS DRIVE,SHERMAN,TX,75090,GRAYSON,(903) 813-3728,Acute Care Hospitals,Physician
+48063,"OKLAHOMA SURGICAL HOSPITAL, LLC","2408 EAST 81ST STREET, SUITE 300",TULSA,OK,74137,TULSA,(918) 477-5095,Acute Care Hospitals,Physician
+71877,CEDAR-SINAI MARINA DEL REY HOSPITAL,4650 LINCOLN BLVD,MARINA DEL REY,CA,90291,LOS ANGELES,(310) 823-8911,Acute Care Hospitals,Proprietary
+62370,UNION COUNTY HOSPITAL,517 NORTH MAIN STREET,ANNA,IL,62906,UNION,(618) 833-4511,Critical Access Hospitals,Proprietary
+73498,VERNON MEMORIAL HOSPITAL,507 SOUTH MAIN ST,VIROQUA,WI,54665,VERNON,(608) 637-2101,Critical Access Hospitals,Voluntary non-profit - Private
+84606,MAIN LINE HOSPITAL BRYN MAWR CAMPUS,130 SOUTH BRYN MAWR AVE,BRYN MAWR,PA,19010,MONTGOMERY,(610) 526-3000,Acute Care Hospitals,Voluntary non-profit - Private
+21618,UNITY HOSPITAL OF ROCHESTER,1555 LONG POND ROAD,ROCHESTER,NY,14626,MONROE,(585) 723-7000,Acute Care Hospitals,Voluntary non-profit - Private
+37745,NASH GENERAL HOSPITAL,2460 CURTIS ELLIS DRIVE,ROCKY MOUNT,NC,27804,NASH,(252) 443-8000,Acute Care Hospitals,Government - Hospital District or Authority
+90535,METHODIST HOSPITAL,8303 DODGE ST,OMAHA,NE,68114,DOUGLAS,(402) 354-4000,Acute Care Hospitals,Voluntary non-profit - Private
+57995,SAN JUAN CAPESTRANO  HOSPITAL INC,CARR 877 KM 1 6 CAMINO LAS LOMAS RR2,RIO PIEDRAS,PR,928,SAN JUAN,(787) 765-2900,Psychiatric,Proprietary
+88858,COX MONETT HOSPITAL,801 NORTH LINCOLN AVENUE,MONETT,MO,65708,BARRY,(417) 354-1400,Critical Access Hospitals,Voluntary non-profit - Private
+38544,HIGHLAND SPRINGS,4199 MILL POND DRIVE,BEACHWOOD,OH,44122,CUYAHOGA,(216) 302-3070,Psychiatric,Proprietary
+49242,NORTH CADDO MEDICAL CENTER,815 SOUTH PINE STREET,VIVIAN,LA,71082,CADDO,(318) 375-3235,Critical Access Hospitals,Government - Hospital District or Authority
+32967,SANFORD MEDICAL CENTER WHEATON,401 12TH STREET NORTH,WHEATON,MN,56296,TRAVERSE,(320) 563-8226,Critical Access Hospitals,Voluntary non-profit - Private
+15558,"PARK CENTER, INC",1909 CAREW STREET,FORT WAYNE,IN,46805,ALLEN,(260) 481-2700,Psychiatric,Voluntary non-profit - Private
+12521,CARILION FRANKLIN MEMORIAL HOSPITAL,180 FLOYD AVENUE,ROCKY MOUNT,VA,24151,FRANKLIN,(540) 483-5277,Acute Care Hospitals,Voluntary non-profit - Private
+13264,PEMISCOT COUNTY MEMORIAL HOSPITAL,946 EAST REED,HAYTI,MO,63851,PEMISCOT,(573) 359-1372,Acute Care Hospitals,Government - Local
+92579,SYRINGA GENERAL HOSPITAL,607 W MAIN STREET,GRANGEVILLE,ID,83530,IDAHO,(208) 983-1700,Critical Access Hospitals,Government - Hospital District or Authority
+38459,MERCYONE CENTERVILLE MEDICAL CENTER,ONE ST JOSEPH'S DRIVE,CENTERVILLE,IA,52544,APPANOOSE,(641) 437-4111,Critical Access Hospitals,Voluntary non-profit - Private
+77732,MANHATTAN PSYCHIATRIC CENTER,WARD'S ISLAND,NEW YORK,NY,10035,NEW YORK,(212) 369-0500,Psychiatric,Government - State
+21144,UW MEDICINE/NORTHWEST HOSPITAL,1550 NORTH 115TH STREET,SEATTLE,WA,98133,KING,(206) 368-1700,Acute Care Hospitals,Voluntary non-profit - Other
+93437,JERSEY SHORE UNIVERSITY MEDICAL CENTER,1945 RTE 33,NEPTUNE,NJ,7754,MONMOUTH,(732) 775-5500,Acute Care Hospitals,Voluntary non-profit - Private
+45245,MUSC MEDICAL CENTER,169 ASHLEY AVE,CHARLESTON,SC,29425,CHARLESTON,(843) 792-2300,Acute Care Hospitals,Government - State
+17165,MENTAL HEALTH INSTITUTE,1251 NORTH CEDAR LOOP,CHEROKEE,IA,51012,CHEROKEE,(712) 225-2594,Psychiatric,Government - State
+34697,MOBRIDGE REGIONAL HOSPITAL - CAH,1401 10TH AVE WEST,MOBRIDGE,SD,57601,WALWORTH,(605) 845-3692,Critical Access Hospitals,Voluntary non-profit - Private
+59568,LOVELACE WOMEN'S HOSPITAL,4701 MONTGOMERY BOULEVARD NE,ALBUQUERQUE,NM,87109,BERNALILLO,(505) 727-7805,Acute Care Hospitals,Government - State
+29897,ABBEVILLE GENERAL HOSPITAL,118 N HOSPITAL DR,ABBEVILLE,LA,70510,VERMILION,(337) 893-5466,Acute Care Hospitals,Government - Hospital District or Authority
+42238,NORTHWEST MEDICAL CENTER,1530 U S HIGHWAY 43,WINFIELD,AL,35594,FAYETTE,(205) 487-7736,Acute Care Hospitals,Proprietary
+30446,SHARON HOSPITAL,50 HOSPITAL HILL ROAD,SHARON,CT,6069,LITCHFIELD,(860) 364-4228,Acute Care Hospitals,Proprietary
+88844,SAINT MICHAEL'S MEDICAL CENTER,111 CENTRAL AVENUE,NEWARK,NJ,7102,ESSEX,(973) 877-5350,Acute Care Hospitals,Voluntary non-profit - Private
+16005,CLAY COUNTY MEMORIAL HOSPITAL,310 W SOUTH STREET,HENRIETTA,TX,76365,CLAY,(940) 538-5621,Critical Access Hospitals,Government - Local
+94948,JEFFERSON HEALTHCARE,834 SHERIDAN STREET,PORT TOWNSEND,WA,98368,JEFFERSON,(360) 385-2200,Critical Access Hospitals,Government - Hospital District or Authority
+58502,"MONTGOMERY COUNTY EMERGENCY SERVICE, INC",50 BEECH DRIVE,NORRISTOWN,PA,19403,MONTGOMERY,(610) 279-6100,Psychiatric,Voluntary non-profit - Private
+94430,UPPER CONNECTICUT VALLEY HOSPITAL,181 CORLISS LANE,COLEBROOK,NH,3576,COOS,(603) 237-4971,Critical Access Hospitals,Voluntary non-profit - Private
+42084,ALLEGHENY GENERAL HOSPITAL,320 EAST NORTH AVENUE,PITTSBURGH,PA,15212,ALLEGHENY,(412) 359-3131,Acute Care Hospitals,Voluntary non-profit - Private
+31542,ARBOUR HUMAN RESOURCE INSTITUTE,227 BABCOCK STREET,BROOKLINE,MA,2446,NORFOLK,(617) 731-3200,Psychiatric,Proprietary
+54768,ROLLING PLAINS MEMORIAL HOSPITAL,200 E ARIZONA,SWEETWATER,TX,79556,NOLAN,(325) 235-1701,Acute Care Hospitals,Government - Hospital District or Authority
+80717,NORTH CAROLINA BAPTIST HOSPITAL,MEDICAL CENTER BOULEVARD,WINSTON-SALEM,NC,27157,FORSYTH,(336) 716-2011,Acute Care Hospitals,Voluntary non-profit - Private
+19764,HOULTON REGIONAL HOSPITAL,20 HARTFORD STREET,HOULTON,ME,4730,AROOSTOOK,(207) 532-2900,Critical Access Hospitals,Voluntary non-profit - Private
+35197,DOCTORS' CENTER HOSPITAL SAN JUAN,PDA. 20 C/ SAN RAFAEL # 1395,FERNANDEZ JUNCOS,PR,909,SAN JUAN,(787) 723-2950,Acute Care Hospitals,Proprietary
+52789,NOVATO COMMUNITY HOSPITAL,180 ROWLAND WAY,NOVATO,CA,94945,MARIN,(415) 209-1300,Acute Care Hospitals,Voluntary non-profit - Other
+48706,SALEM MEMORIAL DISTRICT HOSPITAL,"PO BOX 774,",SALEM,MO,65560,DENT,(573) 729-6626,Critical Access Hospitals,Government - Hospital District or Authority
+69173,HACKENSACK MERIDIAN HEALTH PASCACK VALLEY MEDICAL,250 OLD HOOK ROAD,WESTWOOD,NJ,7675,BERGEN,(201) 383-1035,Acute Care Hospitals,Proprietary
+30591,SOUTHSIDE HOSPITAL,301 EAST MAIN STREET,BAY SHORE,NY,11706,SUFFOLK,(631) 968-3000,Acute Care Hospitals,Voluntary non-profit - Private
+44942,BON SECOURS COMMUNITY HOSPITAL,160 EAST MAIN STREET,PORT JERVIS,NY,12771,ORANGE,(845) 856-5351,Acute Care Hospitals,Voluntary non-profit - Church
+94301,KAISER FOUNDATION HOSPITAL - ZION,4647 ZION AVE,SAN DIEGO,CA,92120,SAN DIEGO,(619) 528-5000,Acute Care Hospitals,Voluntary non-profit - Private
+23224,SOUTHERN INYO HOSPITAL,501 EAST LOCUST STREET,LONE PINE,CA,93545,INYO,(760) 876-5501,Critical Access Hospitals,Government - Hospital District or Authority
+55251,AVERA ST MARY'S HOSPITAL,801 E SIOUX,PIERRE,SD,57501,HUGHES,(605) 224-3100,Acute Care Hospitals,Voluntary non-profit - Private
+54144,SAINT LUKE'S SOUTH HOSPITAL,12300 METCALF AVENUE,OVERLAND PARK,KS,66213,JOHNSON,(913) 317-7904,Acute Care Hospitals,Voluntary non-profit - Other
+35174,MEMORIAL HOSPITAL,1454 N COUNTY ROAD 2050 E,CARTHAGE,IL,62321,HANCOCK,(217) 357-8500,Critical Access Hospitals,Voluntary non-profit - Private
+36121,OTTUMWA REGIONAL HEALTH CENTER,1001 E PENNSYLVANIA,OTTUMWA,IA,52501,WAPELLO,(641) 682-7511,Acute Care Hospitals,Proprietary
+12181,DETROIT RECEIVING HOSPITAL & UNIV HEALTH CENTER,4201 ST ANTOINE ST - 2C,DETROIT,MI,48201,WAYNE,(313) 745-3104,Acute Care Hospitals,Proprietary
+46305,NYU WINTHROP HOSPITAL,259 FIRST STREET,MINEOLA,NY,11501,NASSAU,(516) 663-0333,Acute Care Hospitals,Voluntary non-profit - Private
+37013,TROUSDALE MEDICAL CENTER,500 CHURCH STREET,HARTSVILLE,TN,37074,TROUSDALE,(615) 374-2221,Critical Access Hospitals,Voluntary non-profit - Other
+79992,ORTHOINDY HOSPITAL,8400 NORTHWEST BLVD,INDIANAPOLIS,IN,46278,MARION,(317) 956-1000,Acute Care Hospitals,Physician
+29528,SAGEWEST HEALTH CARE,2100 W SUNSET DR,RIVERTON,WY,82501,FREMONT,(307) 856-4161,Acute Care Hospitals,Proprietary
+74524,MARSHFIELD MEDICAL CENTER - EAU CLAIRE,2310 CRAIG RD,EAU CLAIRE,WI,54701,EAU CLAIRE,(833) 883-3262,Acute Care Hospitals,Voluntary non-profit - Private
+28945,PROVIDENCE HEALTH,120 GATEWAY CORPORATE BLVD,COLUMBIA,SC,29203,RICHLAND,(803) 256-5300,Acute Care Hospitals,Proprietary
+76375,HEALTHALLIANCE HOSPITAL BROADWAY CAMPUS,396 BROADWAY,KINGSTON,NY,12401,ULSTER,(914) 331-3131,Acute Care Hospitals,Voluntary non-profit - Private
+59284,CHERRY HOSPITAL,1401 WEST ASH STREET,GOLDSBORO,NC,27530,WAYNE,(919) 731-3203,Psychiatric,Government - State
+27931,NELSON COUNTY HEALTH SYSTEM,200 N MAIN ST,MCVILLE,ND,58254,NELSON,(701) 322-4328,Critical Access Hospitals,Voluntary non-profit - Private
+66785,ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER,350 WEST THOMAS ROAD,PHOENIX,AZ,85013,MARICOPA,(602) 406-5001,Acute Care Hospitals,Voluntary non-profit - Church
+74555,SAINT JAMES HOSPITAL,2500 WEST REYNOLDS STREET,PONTIAC,IL,61764,LIVINGSTON,(815) 842-2828,Acute Care Hospitals,Voluntary non-profit - Church
+68009,"LAKESIDE WOMEN'S HOSPITAL, A MEMBER OF INTEGRIS HE",11200 NORTH PORTLAND AVENUE,OKLAHOMA CITY,OK,73120,OKLAHOMA,(405) 936-1500,Acute Care Hospitals,Physician
+71407,MEMORIAL HERMANN MEMORIAL CITY MEDICAL CENTER,921 GESSNER,HOUSTON,TX,77024,HARRIS,(713) 242-3000,Acute Care Hospitals,Voluntary non-profit - Private
+21303,"ROLLING HILLS HOSPITAL, LLC",1000 ROLLING HILLS LANE,ADA,OK,74820,PONTOTOC,(580) 436-3600,Psychiatric,Proprietary
+93457,WESTERLY HOSPITAL,25 WELLS STREET,WESTERLY,RI,2891,WASHINGTON,(401) 596-6000,Acute Care Hospitals,Voluntary non-profit - Private
+33606,TALLAHATCHIE CRITICAL ACCESS HOSPITAL,201 SOUTH MARKET ST / PO BOX 230,CHARLESTON,MS,38921,TALLAHATCHIE,(662) 647-5535,Critical Access Hospitals,Government - Local
+65008,SACRED HEART HOSPITAL,900 W CLAIREMONT AVE,EAU CLAIRE,WI,54701,EAU CLAIRE,(715) 717-4121,Acute Care Hospitals,Voluntary non-profit - Church
+55339,PERRY COUNTY MEMORIAL HOSPITAL,434 NORTH WEST STREET,PERRYVILLE,MO,63775,PERRY,(573) 547-2530,Critical Access Hospitals,Government - Local
+81652,CARLINVILLE AREA HOSPITAL,20733 N BROAD STREET,CARLINVILLE,IL,62626,MACOUPIN,(217) 854-3141,Critical Access Hospitals,Voluntary non-profit - Private
+74209,KENSINGTON HOSPITAL,136 W DIAMOND STREET,PHILADELPHIA,PA,19122,PHILADELPHIA,(215) 426-8100,Acute Care Hospitals,Voluntary non-profit - Other
+81006,BAPTIST MEDICAL CENTER EAST,400 TAYLOR ROAD,MONTGOMERY,AL,36117,MONTGOMERY,(334) 244-8330,Acute Care Hospitals,Government - Hospital District or Authority
+77171,PRAIRIE VIEW INC,1901 E FIRST STREET PO BOX 467,NEWTON,KS,67114,HARVEY,(316) 284-6400,Psychiatric,Voluntary non-profit - Church
+17255,LEXINGTON MEDICAL CENTER,2720 SUNSET BLVD,WEST COLUMBIA,SC,29169,LEXINGTON,(803) 791-2000,Acute Care Hospitals,Government - Hospital District or Authority
+18717,YAVAPAI REGIONAL MEDICAL CENTER,1003 WILLOW CREEK ROAD,PRESCOTT,AZ,86301,YAVAPAI,(928) 445-2700,Acute Care Hospitals,Voluntary non-profit - Private
+74230,ST JOSEPH'S MEDICAL CENTER OF STOCKTON,1800 N CALIFORNIA ST,STOCKTON,CA,95204,SAN JOAQUIN,(209) 943-2000,Acute Care Hospitals,Voluntary non-profit - Private
+90812,FIVE RIVERS MEDICAL CENTER,2801 MEDICAL CENTER DRIVE,POCAHONTAS,AR,72455,RANDOLPH,(870) 892-6000,Acute Care Hospitals,Government - Local
+48541,OUR LADY OF THE LAKE REGIONAL MEDICAL CENTER,5000 HENNESSY BLVD,BATON ROUGE,LA,70808,E. BATON ROUGE,(225) 765-6565,Acute Care Hospitals,Voluntary non-profit - Church
+23821,METROPOLITAN ST LOUIS PSYCHIATRIC CTR,5351 DELMAR BOULEVARD,SAINT LOUIS,MO,63112,ST. LOUIS CITY,(314) 877-0500,Psychiatric,Government - State
+18668,LEGACY EMANUEL MEDICAL CENTER,2801 N GANTENBEIN AVENUE,PORTLAND,OR,97227,MULTNOMAH,(503) 413-2200,Acute Care Hospitals,Voluntary non-profit - Private
+49791,JOHN H STROGER JR HOSPITAL,1901 W HARRISON ST,CHICAGO,IL,60612,COOK,(312) 864-6000,Acute Care Hospitals,Government - Local
+12144,ALLIANCEHEALTH MADILL,901 S 5TH AVE,MADILL,OK,73446,MARSHALL,(580) 795-3384,Critical Access Hospitals,Proprietary
+69186,673rd Medical Group (Joint Base Elmendorf-Richardson),673 MDG 5955 Zeamer Ave,JBER,AK,99506,ANCHORAGE,(907) 384-1110,Acute Care - Department of Defense,Department of Defense
+48400,JEFFERSON REGIONAL MEDICAL CENTER,1600 WEST 40TH AVENUE,PINE BLUFF,AR,71603,JEFFERSON,(870) 541-7100,Acute Care Hospitals,Voluntary non-profit - Private
+42536,TEXAS HEALTH HARRIS METHODIST HOSPITAL ALLIANCE,10864 TEXAS HEALTH TRAIL,FORT WORTH,TX,76244,TARRANT,(682) 212-2000,Acute Care Hospitals,Voluntary non-profit - Private
+54679,AURORA MEDICAL CENTER BAY AREA,3003 UNIVERSITY DR,MARINETTE,WI,54143,MARINETTE,(715) 735-4200,Acute Care Hospitals,Voluntary non-profit - Private
+54895,PENDER COMMUNITY HOSPITAL,"P O BOX 100, 100 HOSPITAL DRIVE",PENDER,NE,68047,THURSTON,(402) 385-3083,Critical Access Hospitals,Government - Hospital District or Authority
+81731,Tripler AMC (FT Shafter),1 Jarrett White Rd,Honolulu,HI,96859,HONOLULU,(808) 433-2778,Acute Care - Department of Defense,Department of Defense
+16547,TRISTAR HENDERSONVILLE MEDICAL CENTER,355 NEW SHACKLE ISLAND RD,HENDERSONVILLE,TN,37075,SUMNER,(615) 338-1000,Acute Care Hospitals,Proprietary
+70881,WINDHAM COMM MEM HOSP & HATCH HOSP,112 MANSFIELD AVENUE,WILLIMANTIC,CT,6226,WINDHAM,(860) 456-9116,Acute Care Hospitals,Voluntary non-profit - Private
+76100,NORTH ALABAMA MEDICAL CENTER,1701 VETERANS DRIVE,FLORENCE,AL,35630,LAUDERDALE,(256) 768-8400,Acute Care Hospitals,Proprietary
+57120,BROOK LANE HEALTH SERVICES,13215  BROOK LANE DRIVE,HAGERSTOWN,MD,21742,WASHINGTON,(301) 733-0330,Psychiatric,Voluntary non-profit - Private
+74199,STANTON COUNTY HOSPITAL,404 N CHESTNUT,JOHNSON,KS,67855,STANTON,(620) 492-6250,Critical Access Hospitals,Government - Local
+28650,PIEDMONT ATHENS REGIONAL MEDICAL CENTER,1199 PRINCE AVENUE,ATHENS,GA,30606,CLARKE,(706) 475-7000,Acute Care Hospitals,Voluntary non-profit - Other
+41006,BROWARD HEALTH IMPERIAL POINT,6401 N FEDERAL HWY,FORT LAUDERDALE,FL,33308,BROWARD,(954) 776-8500,Acute Care Hospitals,Government - Hospital District or Authority
+15233,WINKLER COUNTY MEMORIAL HOSPITAL,821 JEFFEE DRIVE,KERMIT,TX,79745,WINKLER,(432) 586-5865,Critical Access Hospitals,Government - Local
+70820,FLUSHING HOSPITAL MEDICAL CENTER,45TH AVENUE AND PARSONS BOULEVARD,FLUSHING,NY,11355,QUEENS,(718) 670-5000,Acute Care Hospitals,Voluntary non-profit - Private
+48029,HOLSTON VALLEY MEDICAL CENTER,130 WEST RAVINE ROAD,KINGSPORT,TN,37662,SULLIVAN,(423) 224-4000,Acute Care Hospitals,Voluntary non-profit - Private
+72450,ST LUKE'S JEROME,709 NORTH LINCOLN AVENUE,JEROME,ID,83338,JEROME,(208) 814-9500,Critical Access Hospitals,Voluntary non-profit - Private
+70756,"EUREKA SPRINGS HOSPITAL, LLC",24 NORRIS STREET,EUREKA SPRINGS,AR,72632,CARROLL,(479) 253-7400,Critical Access Hospitals,Proprietary
+13874,ST JOSEPH MEDICAL CENTER,1000 CARONDELET DR,KANSAS CITY,MO,64114,JACKSON,(816) 942-4400,Acute Care Hospitals,Proprietary
+54302,MADISON HOSPITAL,820 THIRD AVENUE,MADISON,MN,56256,LAC QUI PARLE,(320) 598-7536,Critical Access Hospitals,Voluntary non-profit - Private
+65831,MEDINA HOSPITAL,1000 EAST WASHINGTON STREET,MEDINA,OH,44256,MEDINA,(330) 725-1000,Acute Care Hospitals,Voluntary non-profit - Private
+79686,CEDAR COUNTY MEMORIAL HOSPITAL,1401 SOUTH PARK STREET,EL DORADO SPRINGS,MO,64744,CEDAR,(417) 876-2511,Critical Access Hospitals,Government - Local
+61364,NH Beaufort,1 Pinckney Blvd,Beaufort,SC,29902,BEAUFORT,(843) 228-5600,Acute Care - Department of Defense,Department of Defense
+88407,MARK TWAIN MEDICAL CENTER,768 MOUNTAIN RANCH RD,SAN ANDREAS,CA,95249,CALAVERAS,(209) 754-2515,Critical Access Hospitals,Voluntary non-profit - Other
+22930,RAWLINS COUNTY HEALTH CENTER,707 GRANT ST,ATWOOD,KS,67730,RAWLINS,(785) 626-3211,Critical Access Hospitals,Voluntary non-profit - Other
+87852,DILEY RIDGE MEDICAL CENTER,7911 DILEY ROAD,CANAL WINCHESTER,OH,43110,FRANKLIN,(614) 838-7910,Acute Care Hospitals,Voluntary non-profit - Private
+45004,PALOMAR HEALTH DOWNTOWN CAMPUS,555 EAST VALLEY PARKWAY,ESCONDIDO,CA,92025,SAN DIEGO,(760) 739-3000,Acute Care Hospitals,Government - Hospital District or Authority
+34350,TEXAS HEALTH HARRIS METHODIST HOSPITAL SOUTHLAKE,1545 E SOUTHLAKE BLVD,SOUTHLAKE,TX,76092,TARRANT,(817) 748-8700,Acute Care Hospitals,Government - State
+91123,SUMMERS COUNTY ARH HOSPITAL,115 SUMMERS HOSPITAL ROAD,HINTON,WV,25951,SUMMERS,(304) 466-1000,Critical Access Hospitals,Voluntary non-profit - Private
+68227,LAMB HEALTHCARE CENTER,1500 S SUNSET,LITTLEFIELD,TX,79339,LAMB,(806) 385-6411,Acute Care Hospitals,Government - Local
+11210,MOUNT AUBURN HOSPITAL,330 MOUNT AUBURN STREET,CAMBRIDGE,MA,2138,MIDDLESEX,(617) 492-3500,Acute Care Hospitals,Voluntary non-profit - Private
+15009,OCEANS BEHAVIORAL HOSPITAL OF KATY,455 PARK GROVE LANE,KATY,TX,77450,HARRIS,(281) 492-8888,Psychiatric,Proprietary
+16109,MASONICARE HEALTH CENTER,22 MASONIC AVE,WALLINGFORD,CT,6492,NEW HAVEN,(203) 679-5900,Acute Care Hospitals,Voluntary non-profit - Private
+60779,SONORA BEHAVIORAL HEALTH HOSPITAL,6050 NORTH CORONA ROAD,TUCSON,AZ,85704,PIMA,(520) 469-8700,Psychiatric,Proprietary
+91170,LANCASTER BEHAVIORAL HEALTH HOSPITAL,333 HARRISBURG AVENUE,LANCASTER,PA,17603,LANCASTER,(717) 740-4100,Psychiatric,Voluntary non-profit - Other
+68241,SOUTH CAMERON MEMORIAL HOSPITAL,5360 WEST CREOLE HWY,CAMERON,LA,70631,CAMERON,(337) 542-4111,Acute Care Hospitals,Proprietary
+73687,MEMORIAL HOSPITAL LOS BANOS,520 WEST I ST,LOS BANOS,CA,93635,MERCED,(209) 826-0591,Acute Care Hospitals,Voluntary non-profit - Private
+39145,UNIVERSITY HOSPITAL OF BROOKLYN ( DOWNSTATE ),445 LENOX ROAD,BROOKLYN,NY,11203,KINGS,(718) 270-1000,Acute Care Hospitals,Government - State
+78936,PALMETTO LOWCOUNTRY BEHAVIORAL HEALTH,2777 SPEISSEGGER DRIVE,CHARLESTON,SC,29405,CHARLESTON,(843) 747-5830,Psychiatric,Proprietary
+44905,JOHNSTON MEMORIAL HOSPITAL,16000 JOHNSTON MEMORIAL DRIVE,ABINGDON,VA,24211,WASHINGTON,(276) 258-1000,Acute Care Hospitals,Voluntary non-profit - Private
+67408,SOUTHWEST GENERAL HEALTH CENTER,18697 BAGLEY ROAD,MIDDLEBURG HEIGHTS,OH,44130,CUYAHOGA,(440) 816-6701,Acute Care Hospitals,Voluntary non-profit - Private
+19812,ARNOT OGDEN MEDICAL CENTER,600 ROE AVENUE,ELMIRA,NY,14905,CHEMUNG,(607) 737-4100,Acute Care Hospitals,Voluntary non-profit - Private
+18778,RIVERSIDE COMMUNITY HOSPITAL,4445 MAGNOLIA AVENUE,RIVERSIDE,CA,92501,RIVERSIDE,(951) 788-3000,Acute Care Hospitals,Proprietary
+31432,PROVIDENCE ST PETER HOSPITAL,413 LILLY ROAD NE,OLYMPIA,WA,98506,THURSTON,(360) 491-9480,Acute Care Hospitals,Voluntary non-profit - Private
+66870,PALO ALTO COUNTY HOSPITAL,3201 1ST STREET,EMMETSBURG,IA,50536,PALO ALTO,(712) 852-5500,Critical Access Hospitals,Government - Local
+27227,LONE STAR BEHAVIORAL HEALTH CYPRESS,16303 GRANT ROAD,CYPRESS,TX,77429,HARRIS,(281) 516-6186,Psychiatric,Proprietary
+93034,THAYER COUNTY HEALTH SERVICES,120 PARK AVE,HEBRON,NE,68370,THAYER,(402) 768-6041,Critical Access Hospitals,Government - Local
+88818,NIAGARA FALLS MEMORIAL MEDICAL CENTER,621 TENTH STREET,NIAGARA FALLS,NY,14302,NIAGARA,(716) 278-4000,Acute Care Hospitals,Voluntary non-profit - Other
+26496,FAITH COMMUNITY HOSPITAL,215 CHISHOLM TRAIL,JACKSBORO,TX,76458,JACK,(940) 567-6633,Acute Care Hospitals,Government - Hospital District or Authority
+10348,LAKE CITY MEDICAL CENTER,340 NW COMMERCE DR,LAKE CITY,FL,32055,COLUMBIA,(386) 719-9000,Acute Care Hospitals,Proprietary
+56085,WILLAMETTE VALLEY MEDICAL CENTER,2700 SE STRATUS AVE.,MCMINNVILLE,OR,97128,YAMHILL,(503) 472-6131,Acute Care Hospitals,Voluntary non-profit - Private
+59727,EAST LOS ANGELES DOCTORS HOSPITAL,4060 WHITTIER BLVD,LOS ANGELES,CA,90023,LOS ANGELES,(323) 268-5514,Acute Care Hospitals,Proprietary
+36627,"FRANCISCAN HEALTH RENSSELAER, INC",1104 E GRACE ST,RENSSELAER,IN,47978,JASPER,(219) 866-5141,Critical Access Hospitals,Voluntary non-profit - Private
+59914,AURORA LAS ENCINAS HOSPITAL,2900 E DEL MAR BLVD,PASADENA,CA,91107,LOS ANGELES,(866) 279-3709,Psychiatric,Proprietary
+80828,HOOD MEMORIAL HOSPITAL,301 W WALNUT STREET,AMITE,LA,70422,TANGIPAHOA,(985) 748-9485,Critical Access Hospitals,Government - Hospital District or Authority
+79889,KEEFE MEMORIAL HOSPITAL,602 N 6TH W ST,CHEYENNE WELLS,CO,80810,CHEYENNE,(719) 767-5661,Critical Access Hospitals,Government - Hospital District or Authority
+32900,MYRTUE MEDICAL CENTER,1213 GARFIELD AVENUE,HARLAN,IA,51537,SHELBY,(712) 755-5161,Critical Access Hospitals,Voluntary non-profit - Other
+82601,GOUVERNEUR HOSPITAL,77 WEST BARNEY STREET,GOUVERNEUR,NY,13642,ST. LAWRENCE,(315) 287-1000,Critical Access Hospitals,Voluntary non-profit - Private
+64398,BERGER HOSPITAL,600 NORTH PICKAWAY STREET,CIRCLEVILLE,OH,43113,PICKAWAY,(740) 420-8020,Acute Care Hospitals,Government - Local
+64797,GIRARD MEDICAL CENTER,302 NORTH HOSPITAL DRIVE,GIRARD,KS,66743,CRAWFORD,(620) 724-8291,Critical Access Hospitals,Government - Hospital District or Authority
+12833,TANNER MEDICAL CENTER - CARROLLTON,705 DIXIE STREET,CARROLLTON,GA,30117,CARROLL,(770) 836-9580,Acute Care Hospitals,Government - Hospital District or Authority
+19166,SHRINERS HOSPITALS FOR CHILDREN,3100 SAMFORD AVENUE,SHREVEPORT,LA,71103,CADDO,(318) 222-5704,Childrens,Voluntary non-profit - Private
+46209,SCOTLAND COUNTY  HOSPITAL,450 E SIGLER AVENUE,MEMPHIS,MO,63555,SCOTLAND,(660) 465-8511,Critical Access Hospitals,Government - Hospital District or Authority
+46214,ST MARY'S GOOD SAMARITAN HOSPITAL,5401 LAKE OCONEE PARKWAY,GREENSBORO,GA,30642,GREENE,(706) 453-7331,Critical Access Hospitals,Proprietary
+79159,SHARON REGIONAL HEALTH SYSTEM,740 EAST STATE STREET,SHARON,PA,16146,MERCER,(724) 983-3800,Acute Care Hospitals,Proprietary
+71903,SPRING VALLEY HOSPITAL MEDICAL CENTER,5400 SOUTH RAINBOW BLVD,LAS VEGAS,NV,89118,CLARK,(702) 853-3000,Acute Care Hospitals,Proprietary
+93985,MACNEAL  HOSPITAL,3249 SOUTH OAK PARK AVENUE,BERWYN,IL,60402,COOK,(708) 783-9100,Acute Care Hospitals,Proprietary
+42142,ROCHESTER PSYCHIATRIC CENTER,1600 SOUTH AVE,ROCHESTER,NY,14620,MONROE,(585) 241-1200,Psychiatric,Government - Local
+25210,WASHINGTON HOSPITAL,2000 MOWRY AVE,FREMONT,CA,94538,ALAMEDA,(510) 797-1111,Acute Care Hospitals,Government - Hospital District or Authority
+62554,THE VINES HOSPITAL,3130 SW 27TH AVE,OCALA,FL,34474,MARION,(352) 671-3130,Psychiatric,Proprietary
+57051,"BEAUMONT HOSPITAL, TROY",44201 DEQUINDRE ROAD,TROY,MI,48085,OAKLAND,(248) 964-8800,Acute Care Hospitals,Voluntary non-profit - Private
+26845,MARION GENERAL HOSPITAL,441 N WABASH AVE,MARION,IN,46952,GRANT,(765) 660-6000,Acute Care Hospitals,Voluntary non-profit - Private
+37211,KAISER FOUNDATION HOSPITAL - FRESNO,7300 NORTH FRESNO ST,FRESNO,CA,93720,FRESNO,(559) 448-4500,Acute Care Hospitals,Voluntary non-profit - Private
+78931,JOHN D ARCHBOLD MEMORIAL HOSPITAL,915 GORDON AVENUE & MIMOSA DRIVE,THOMASVILLE,GA,31792,THOMAS,(229) 228-2880,Acute Care Hospitals,Voluntary non-profit - Private
+38699,MIDMICHIGAN MEDICAL CENTER-GLADWIN,515 QUARTER STREET,GLADWIN,MI,48624,GLADWIN,(989) 426-9286,Critical Access Hospitals,Voluntary non-profit - Private
+74678,GEORGIA REGIONAL HOSP SAVANNAH,1915 EISENHOWER DRIVE,SAVANNAH,GA,31416,CHATHAM,(912) 356-2045,Psychiatric,Government - State
+24413,SENTARA CAREPLEX HOSPITAL,3000 COLISEUM DRIVE,HAMPTON,VA,23666,HAMPTON CITY,(757) 736-1000,Acute Care Hospitals,Voluntary non-profit - Private
+92957,"HENRY COUNTY HOSPITAL, INC",1600 EAST RIVERVIEW AVENUE,NAPOLEON,OH,43545,HENRY,(419) 592-4015,Critical Access Hospitals,Voluntary non-profit - Private
+78820,LANGLEY PORTER PSYCHIATRIC INSTITUTE,401 PARNASSUS AVENUE,SAN FRANCISCO,CA,94143,SAN FRANCISCO,(415) 476-7000,Psychiatric,Government - State
+77896,HOWARD COUNTY MEDICAL CENTER,"P O BOX 406, 1113 SHERMAN ST",ST PAUL,NE,68873,HOWARD,(308) 754-4421,Critical Access Hospitals,Voluntary non-profit - Other
+51559,ST CLOUD HOSPITAL,1406 6TH AVE NORTH,SAINT CLOUD,MN,56303,STEARNS,(320) 255-5661,Acute Care Hospitals,Voluntary non-profit - Private
+38030,DETAR HEALTHCARE SYSTEM,506 E SAN ANTONIO ST,VICTORIA,TX,77902,VICTORIA,(361) 575-7441,Acute Care Hospitals,Proprietary
+24767,SPARROW IONIA HOSPITAL,3565 S STATE ROAD,IONIA,MI,48846,IONIA,(616) 527-4200,Critical Access Hospitals,Voluntary non-profit - Private
+65798,BILLINGS CLINIC HOSPITAL,2800 10TH AVE N,BILLINGS,MT,59101,YELLOWSTONE,(406) 657-4000,Acute Care Hospitals,Voluntary non-profit - Private
+58657,MAYO CLINIC HEALTH SYSTEM-RED CEDAR,2321 STOUT RD,MENOMONIE,WI,54751,DUNN,(715) 235-5531,Critical Access Hospitals,Voluntary non-profit - Private
+46589,GREENE COUNTY MEDICAL CENTER,1000 WEST LINCOLNWAY,JEFFERSON,IA,50129,GREENE,(515) 386-2114,Critical Access Hospitals,Government - Local
+39292,"BEACON BEHAVIORAL HOSPITAL - NORTHSHORE, INC","64026 HWY 434, SUITE 300 (3RD FLOOR)",LACOMBE,LA,70445,ST. TAMMANY,(985) 882-0226,Psychiatric,Voluntary non-profit - Private
+69013,NYACK HOSPITAL,160 NORTH MIDLAND AVENUE,NYACK,NY,10960,ROCKLAND,(845) 348-2000,Acute Care Hospitals,Voluntary non-profit - Other
+11101,COMMUNITY HOSPITAL,901 MACARTHUR BLVD,MUNSTER,IN,46321,LAKE,(219) 836-1600,Acute Care Hospitals,Voluntary non-profit - Private
+66786,BOSTON MEDICAL CENTER CORPORATION-,1 BOSTON MEDICAL CENTER PLACE,BOSTON,MA,2118,SUFFOLK,(617) 638-8000,Acute Care Hospitals,Voluntary non-profit - Private
+94185,EINSTEIN MEDICAL CENTER MONTGOMERY,559 WEST GERMANTOWN PIKE,EAST NORRITON,PA,19403,MONTGOMERY,(484) 662-1000,Acute Care Hospitals,Voluntary non-profit - Private
+82370,WEST FLORIDA COMMUNITY CARE CENTER,5500 STEWART ST,MILTON,FL,32570,SANTA ROSA,(904) 623-4990,Psychiatric,Government - State
+69443,UNIVERSITY HOSPITALS SAMARITAN MEDICAL CENTER,1025 CENTER ST,ASHLAND,OH,44805,ASHLAND,(419) 289-0491,Acute Care Hospitals,Voluntary non-profit - Other
+59517,SAINT JOSEPH MOUNT STERLING,225 FALCON DRIVE,MOUNT STERLING,KY,40353,MONTGOMERY,(859) 497-5018,Acute Care Hospitals,Voluntary non-profit - Private
+52055,SGMC LANIER CAMPUS,116 WEST THIGPEN AVENUE,LAKELAND,GA,31635,LANIER,(229) 482-8402,Critical Access Hospitals,Government - Hospital District or Authority
+88843,SIMPSON GENERAL HOSPITAL CAH,1842 SIMPSON HIGHWAY 149,MENDENHALL,MS,39114,SIMPSON,(601) 847-2221,Critical Access Hospitals,Voluntary non-profit - Private
+70399,MEDSTAR GOOD SAMARITAN HOSPITAL,5601 LOCH RAVEN BOULEVARD,BALTIMORE,MD,21239,BALTIMORE CITY,(443) 444-3902,Acute Care Hospitals,Voluntary non-profit - Other
+48616,ST LUKES HOSPITAL,1026 A AVE NE,CEDAR RAPIDS,IA,52402,LINN,(319) 369-7211,Acute Care Hospitals,Voluntary non-profit - Private
+48096,HAYWOOD REGIONAL MEDICAL CENTER,262 LEROY GEORGE DRIVE,CLYDE,NC,28721,HAYWOOD,(828) 456-7311,Acute Care Hospitals,Government - Hospital District or Authority
+41974,ESSENTIA HEALTH ST MARY'S HOSPITAL - SUPERIOR,3500 TOWER AVE,SUPERIOR,WI,54880,DOUGLAS,(715) 817-7000,Critical Access Hospitals,Voluntary non-profit - Private
+59263,ST JOSEPH HOSPITAL,172 KINSLEY ST,NASHUA,NH,3060,HILLSBOROUGH,(603) 882-3000,Acute Care Hospitals,Voluntary non-profit - Other
+56801,SAMARITAN ALBANY GENERAL HOSPITAL,1046 6TH AVENUE SW,ALBANY,OR,97321,LINN,(541) 812-4000,Acute Care Hospitals,Voluntary non-profit - Church
+34094,EMANATE HEALTH FOOTHILL PRESBYTERIAN HOSPITAL,250 S GRAND AVE,GLENDORA,CA,91740,LOS ANGELES,(626) 963-8411,Acute Care Hospitals,Voluntary non-profit - Private
+24849,ST LUKES LAKESIDE HOSPITAL,17400 ST LUKES WAY,THE WOODLANDS,TX,77384,MONTGOMERY,(936) 266-4055,Acute Care Hospitals,Voluntary non-profit - Other
+46742,NORTH OAK REGIONAL MEDICAL CENTER,401 GETWELL DR,SENATOBIA,MS,38668,TATE,(662) 562-3100,Acute Care Hospitals,Proprietary
+59667,ST JOHNS MEDICAL CENTER,625 EAST BROADWAY,JACKSON,WY,83001,TETON,(307) 733-3636,Acute Care Hospitals,Government - Hospital District or Authority
+84681,THEDACARE REGIONAL MEDICAL CENTER - NEENAH INC,130 2ND ST,NEENAH,WI,54956,WINNEBAGO,(920) 729-3100,Acute Care Hospitals,Voluntary non-profit - Private
+41586,WEST FLORIDA HOSPITAL,8383 N DAVIS HWY,PENSACOLA,FL,32514,ESCAMBIA,(850) 494-4000,Acute Care Hospitals,Proprietary
+14577,TIPPAH COUNTY HOSPITAL,1005 CITY AVE NORTH,RIPLEY,MS,38663,TIPPAH,(662) 837-9221,Critical Access Hospitals,Government - Local
+10434,ST SIMONS-BY-THE-SEA,2927 DEMERE ROAD,SAINT SIMONS ISLAND,GA,31522,GLYNN,(912) 638-1999,Psychiatric,Government - Federal
+78911,HIGHLANDS BEHAVIORAL HEALTH SYSTEM,8565 S POPLAR WAY,LITTLETON,CO,80130,DOUGLAS,(720) 348-2801,Psychiatric,Proprietary
+34734,WILLIAM W BACKUS HOSPITAL,326 WASHINGTON ST,NORWICH,CT,6360,NEW LONDON,(860) 889-8331,Acute Care Hospitals,Voluntary non-profit - Other
+42902,PENN PRESBYTERIAN MEDICAL CENTER,51 NORTH 39TH STREET,PHILADELPHIA,PA,19104,PHILADELPHIA,(215) 662-8000,Acute Care Hospitals,Voluntary non-profit - Other
+33273,SUTTER SURGICAL HOSPITAL - NORTH VALLEY,455 PLUMAS BLVD,YUBA CITY,CA,95991,SUTTER,(530) 749-5700,Acute Care Hospitals,Physician
+24433,HURLEY MEDICAL CENTER,ONE HURLEY PLAZA,FLINT,MI,48503,GENESEE,(810) 257-9000,Acute Care Hospitals,Voluntary non-profit - Other
+45889,SPRINGHILL MEDICAL CENTER,2001 DOCTORS DRIVE,SPRINGHILL,LA,71075,WEBSTER,(318) 539-1000,Acute Care Hospitals,Voluntary non-profit - Private
+85944,CAMBRIDGE BEHAVIORAL HOSPITAL,66755 STATE STREET,CAMBRIDGE,OH,43725,GUERNSEY,(740) 432-4906,Psychiatric,Proprietary
+91321,COOKEVILLE REGIONAL MEDICAL CENTER,1 MEDICAL CENTER BOULEVARD,COOKEVILLE,TN,38501,PUTNAM,(931) 783-2000,Acute Care Hospitals,Government - Local
+36636,WALTER P REUTHER PSYCHIATRIC HOSPITAL,30901 PALMER RD,WESTLAND,MI,48185,WAYNE,(734) 367-8400,Psychiatric,Government - State
+28344,GLENCOE REGIONAL HEALTH SERVICES,1805 HENNEPIN AVENUE NORTH,GLENCOE,MN,55336,MC LEOD,(320) 864-3121,Critical Access Hospitals,Voluntary non-profit - Other
+62348,SUTTER CENTER FOR PSYCHIATRY,7700 FOLSOM BLVD,SACRAMENTO,CA,95826,SACRAMENTO,(916) 386-3000,Psychiatric,Proprietary
+91339,"MEDICAL CENTER OF AURORA, THE",1501 S POTOMAC ST,AURORA,CO,80012,ARAPAHOE,(303) 873-5511,Acute Care Hospitals,Proprietary
+56419,BAPTIST MEDICAL CENTER JACKSONVILLE,800 PRUDENTIAL DR,JACKSONVILLE,FL,32207,DUVAL,(904) 202-2000,Acute Care Hospitals,Voluntary non-profit - Private
+78056,EVERGREENHEALTH MEDICAL CENTER,12040 NE 128TH STREET,KIRKLAND,WA,98034,KING,(425) 899-1000,Acute Care Hospitals,Government - Hospital District or Authority
+14762,Irwin ACH (FT Riley),600 Caisson Hill Road,Fort Riley,KS,66442,GEARY,(785) 239-7000,Acute Care - Department of Defense,Department of Defense
+41806,RIO GRANDE REGIONAL HOSPITAL,101 E RIDGE RD,MCALLEN,TX,78503,HIDALGO,(956) 632-6000,Acute Care Hospitals,Proprietary
+21468,BOCA RATON REGIONAL HOSPITAL,800 MEADOWS RD,BOCA RATON,FL,33486,PALM BEACH,(561) 362-5002,Acute Care Hospitals,Voluntary non-profit - Private
+39071,AVERA CREIGHTON HOSPITAL,"P O BOX 186, 1503 MAIN ST",CREIGHTON,NE,68729,KNOX,(402) 358-5700,Critical Access Hospitals,Voluntary non-profit - Private
+17446,ODESSA REGIONAL MEDICAL CENTER,520 E 6TH STREET,ODESSA,TX,79761,ECTOR,(432) 582-8340,Acute Care Hospitals,Proprietary
+26514,DRUMRIGHT REGIONAL HOSPITAL,610 WEST BYPASS,DRUMRIGHT,OK,74030,CREEK,(918) 382-2300,Critical Access Hospitals,Proprietary
+21852,MID COAST HOSPITAL,123 MEDICAL CENTER DRIVE,BRUNSWICK,ME,4011,CUMBERLAND,(207) 729-0181,Acute Care Hospitals,Voluntary non-profit - Private
+77094,MORTON HOSPITAL,88 WASHINGTON STREET,TAUNTON,MA,2780,BRISTOL,(508) 828-7000,Acute Care Hospitals,Proprietary
+36755,WALDO COUNTY GENERAL HOSPITAL,118 NORTHPORT AVE,BELFAST,ME,4915,WALDO,(207) 338-2500,Critical Access Hospitals,Voluntary non-profit - Private
+79038,PALMS OF PASADENA HOSPITAL,1501 PASADENA AVE S,SAINT PETERSBURG,FL,33707,PINELLAS,(727) 381-1000,Acute Care Hospitals,Proprietary
+14968,HENRICO DOCTORS' HOSPITAL,1602 SKIPWITH ROAD,RICHMOND,VA,23229,HENRICO,(804) 289-4500,Acute Care Hospitals,Voluntary non-profit - Other
+11412,SSM HEALTH ST MARY'S HOSPITAL -CENTRALIA,400 NORTH PLEASANT AVENUE,CENTRALIA,IL,62801,MARION,(618) 436-8000,Acute Care Hospitals,Voluntary non-profit - Church
+90265,BAPTIST HEALTH MADISONVILLE,900 HOSPITAL DRIVE,MADISONVILLE,KY,42431,HOPKINS,(270) 825-5100,Acute Care Hospitals,Voluntary non-profit - Private
+91457,UNITED METHODIST BEHAVIORAL HOSPITAL,1601 MURPHY DRIVE,MAUMELLE,AR,72113,PULASKI,(501) 803-3388,Psychiatric,Voluntary non-profit - Private
+24524,MEMORIAL COMMUNITY HOSPITAL MCH & HEALTH SYSTEM,810 NORTH 22ND ST,BLAIR,NE,68008,WASHINGTON,(402) 426-1502,Critical Access Hospitals,Voluntary non-profit - Private
+89430,COLISEUM NORTHSIDE HOSPITAL,400 CHARTER BOULEVARD,MACON,GA,31210,BIBB,(478) 757-8200,Acute Care Hospitals,Proprietary
+60069,LEE'S SUMMIT MEDICAL CENTER,2100 SE BLUE PARKWAY,LEES SUMMIT,MO,64063,JACKSON,(816) 282-5000,Acute Care Hospitals,Proprietary
+85061,ADAIR COUNTY MEMORIAL HOSPITAL,609 SE KENT,GREENFIELD,IA,50849,ADAIR,(641) 743-2123,Critical Access Hospitals,Government - Local
+31823,FRENCH HOSPITAL MEDICAL CENTER,1911 JOHNSON AVE,SAN LUIS OBISPO,CA,93401,SAN LUIS OBISPO,(805) 543-5353,Acute Care Hospitals,Voluntary non-profit - Private
+29676,FAYETTE COUNTY MEMORIAL HOSPITAL,1430 COLUMBUS AVENUE,WASHINGTON CH,OH,43160,FAYETTE,(740) 335-1210,Critical Access Hospitals,Government - Local
+69884,OAKDALE COMMUNITY HOSPITAL,130 N HOSPITAL DR,OAKDALE,LA,71463,ALLEN,(318) 335-3700,Acute Care Hospitals,Proprietary
+59127,CAPITAL REGIONAL MEDICAL CENTER,2626 CAPITAL MEDICAL BLVD,TALLAHASSEE,FL,32308,LEON,(850) 656-5000,Acute Care Hospitals,Proprietary
+87341,YUMA DISTRICT HOSPITAL,1000 W 8TH AVE,YUMA,CO,80759,YUMA,(970) 848-5405,Critical Access Hospitals,Government - Hospital District or Authority
+90266,HILLCREST HOSPITAL PRYOR,111 NORTH BAILEY STREET,PRYOR,OK,74361,MAYES,(918) 825-1600,Acute Care Hospitals,Proprietary
+53610,UNIVERSITY OF KANSAS HLTH SYSTEM ST FRANCIS CAMPUS,1700 SW 7TH STREET,TOPEKA,KS,66606,SHAWNEE,(785) 295-8000,Acute Care Hospitals,Voluntary non-profit - Church
+11423,CLEVELAND EMERGENCY HOSPITAL,1017 S TRAVIS AVE,CLEVELAND,TX,77327,LIBERTY,(281) 592-5400,Acute Care Hospitals,Proprietary
+10021,WITHAM HEALTH SERVICES,2605 N LEBANON ST,LEBANON,IN,46052,BOONE,(765) 485-8000,Acute Care Hospitals,Government - Local
+60606,CLEARWATER VALLEY HOSPITAL & CLINICS,301 CEDAR STREET,OROFINO,ID,83544,CLEARWATER,(208) 476-4555,Critical Access Hospitals,Voluntary non-profit - Private
+20153,FAIRCHILD MEDICAL CENTER,444 BRUCE STREET,YREKA,CA,96097,SISKIYOU,(530) 842-4121,Critical Access Hospitals,Voluntary non-profit - Other
+70382,UNIVERSITY  OF KS HLTH SYSTEM GREAT BEND CAMPUS,514 CLEVELAND STREET,GREAT BEND,KS,67530,BARTON,(620) 792-8833,Acute Care Hospitals,Proprietary
+31355,LEWISGALE HOSPITAL PULASKI,2400 LEE HIGHWAY,PULASKI,VA,24301,PULASKI,(540) 994-8100,Acute Care Hospitals,Proprietary
+87795,SPECTRUM HEALTH GERBER MEMORIAL,212 S SULLIVAN ST,FREMONT,MI,49412,NEWAYGO,(231) 924-3300,Critical Access Hospitals,Voluntary non-profit - Private
+90183,UNM SANDOVAL REGIONAL MEDICAL CENTER,3001 BROADMOOR BLVD NE,RIO RANCHO,NM,87144,SANDOVAL,(505) 994-7402,Acute Care Hospitals,Voluntary non-profit - Private
+92401,HIMA SAN PABLO CUPEY,CARR 844 KM 5 CUPEY BAJO,SAN JUAN,PR,928,SAN JUAN,(787) 761-8383,Acute Care Hospitals,Proprietary
+93177,RONALD REAGAN U C L A MEDICAL CENTER,757 WESTWOOD PLAZA,LOS ANGELES,CA,90095,LOS ANGELES,(310) 825-6301,Acute Care Hospitals,Government - State
+87140,NORTHEAST REGIONAL MEDICAL CENTER,315 S OSTEOPATHY,KIRKSVILLE,MO,63501,ADAIR,(660) 785-1000,Acute Care Hospitals,Proprietary
+62482,MEDSTAR HARBOR HOSPITAL,3001 SOUTH  HANOVER STREET,BALTIMORE,MD,21225,BALTIMORE CITY,(410) 350-3201,Acute Care Hospitals,Voluntary non-profit - Private
+40715,COMANCHE COUNTY MEDICAL CENTER,10201 HWY 16,COMANCHE,TX,76442,COMANCHE,(254) 879-4900,Critical Access Hospitals,Voluntary non-profit - Private
+35612,PORTERVILLE DEVELOPMENTAL CENTER,26501 AVENUE 140,PORTERVILLE,CA,93257,TULARE,(559) 782-2222,Acute Care Hospitals,Government - State
+48095,HCA HOUSTON HEALTHCARE CONROE,504 MEDICAL CENTER BLVD,CONROE,TX,77304,MONTGOMERY,(936) 539-1111,Acute Care Hospitals,Proprietary
+60484,MEMORIAL HOSPITAL,209 NORTHWEST 8TH STREET,SEMINOLE,TX,79360,GAINES,(432) 758-4854,Critical Access Hospitals,Government - Hospital District or Authority
+63859,Dwight Eisenhower AMC (FT Gordon),300 East Hospital Road,Fort Gordon,GA,30905,RICHMOND,(706) 787-5811,Acute Care - Department of Defense,Department of Defense
+23661,MORTON COUNTY HOSPITAL,445 N HILLTOP,ELKHART,KS,67950,MORTON,(620) 697-2141,Acute Care Hospitals,Government - Local
+25317,BEAUMONT HOSPITAL - DEARBORN,18101 OAKWOOD BLVD,DEARBORN,MI,48124,WAYNE,(313) 593-7125,Acute Care Hospitals,Voluntary non-profit - Private
+66191,MERCY MEDICAL CENTER REDDING,"2175 ROSALINE AVE, CLAIRMONT HGTS",REDDING,CA,96001,SHASTA,(530) 225-6102,Acute Care Hospitals,Voluntary non-profit - Private
+54519,RIDGEVIEW PSYCHIATRIC HOSPITAL AND CENTER,240 W TYRONE RD,OAK RIDGE,TN,37830,ANDERSON,(865) 482-1076,Psychiatric,Voluntary non-profit - Private
+16971,"MARY WASHINGTON HOSPITAL, INC",1001 SAM PERRY BOULEVARD,FREDERICKSBURG,VA,22401,FREDERICKSBURG CITY,(540) 741-1100,Acute Care Hospitals,Voluntary non-profit - Private
+76712,MCKENZIE HEALTH SYSTEM,120 N DELAWARE STREET,SANDUSKY,MI,48471,SANILAC,(810) 648-3770,Critical Access Hospitals,Voluntary non-profit - Private
+26641,ANTELOPE MEMORIAL HOSPITAL,"P O BOX 229, 102 WEST 9TH ST",NELIGH,NE,68756,ANTELOPE,(402) 887-4151,Critical Access Hospitals,Voluntary non-profit - Private
+38908,MONROE COUNTY HOSPITAL,6580 165TH STREET,ALBIA,IA,52531,MONROE,(641) 932-2134,Critical Access Hospitals,Voluntary non-profit - Other
+75387,ORANGE CITY AREA HEALTH SYSTEM,1000 LINCOLN CIRCLE SE,ORANGE CITY,IA,51041,SIOUX,(712) 737-4984,Critical Access Hospitals,Voluntary non-profit - Other
+87719,LINCOLN TRAIL BEHAVIORAL HEALTH SYSTEM,3909 S WILSON ROAD,RADCLIFF,KY,40160,HARDIN,(270) 351-9444,Psychiatric,Proprietary
+30824,GILLETTE CHILDRENS SPECIALTY HOSPITAL,200 UNIVERSITY AVENUE EAST,SAINT PAUL,MN,55106,RAMSEY,(651) 578-5611,Childrens,Government - Hospital District or Authority
+30133,MANATI MEDICAL CENTER DR OTERO LOPEZ,CALLE HERNANDEZ CARRION URB ATENAS,MANATI,PR,674,MANATI,(787) 621-3700,Acute Care Hospitals,Proprietary
+41437,SAINT THOMAS STONES RIVER HOSPITAL,324 DOOLITTLE ROAD,WOODBURY,TN,37190,CANNON,(615) 563-4001,Acute Care Hospitals,Proprietary
+46379,"MEDICAL CENTER, NAVICENT HEALTH (THE)",777 HEMLOCK STREET,MACON,GA,31201,BIBB,(478) 633-1000,Acute Care Hospitals,Government - Hospital District or Authority
+28393,CAROMONT REGIONAL MEDICAL CENTER,2525 COURT DR,GASTONIA,NC,28052,GASTON,(704) 834-4891,Acute Care Hospitals,Voluntary non-profit - Private
+29553,SETON SOUTHWEST HOSPITAL,7900 FM 1826,AUSTIN,TX,78737,HAYS,(512) 324-9000,Acute Care Hospitals,Voluntary non-profit - Private
+11293,TUFTS MEDICAL CENTER,800 WASHINGTON STREET,BOSTON,MA,2111,SUFFOLK,(617) 636-5000,Acute Care Hospitals,Voluntary non-profit - Private
+85042,SALEM HEALTH WEST VALLEY,525 SE WASHINGTON STREET,DALLAS,OR,97338,POLK,(503) 623-8301,Critical Access Hospitals,Voluntary non-profit - Private
+39873,WESTWOOD PEMBROKE HEALTH SYSTEMS,45 CLAPBOARDTREE STREET,WESTWOOD,MA,2090,NORFOLK,(617) 762-7764,Psychiatric,Proprietary
+49589,THE SPINE HOSPITAL OF LOUISIANA,"10105 PARK ROW CIRCLE, SUITE 250",BATON ROUGE,LA,70810,E. BATON ROUGE,(225) 763-9900,Acute Care Hospitals,Voluntary non-profit - Private
+94150,ASCENSION ST FRANCIS HOSPITAL,3237 S 16TH ST,MILWAUKEE,WI,53215,MILWAUKEE,(414) 647-5000,Acute Care Hospitals,Voluntary non-profit - Private
+80275,DEBORAH HEART AND LUNG CENTER,200 TRENTON ROAD,BROWNS MILLS,NJ,8015,BURLINGTON,(609) 893-6611,Acute Care Hospitals,Voluntary non-profit - Private
+76762,NORTHWEST MISSISSIPPI REGIONAL MEDICAL CENTER,1970 HOSPITAL DRIVE,CLARKSDALE,MS,38614,COAHOMA,(662) 627-3211,Acute Care Hospitals,Proprietary
+56172,HOUSTON METHODIST SUGARLAND HOSPITAL,16655 SOUTHWEST FREEWAY,SUGAR LAND,TX,77479,FORT BEND,(281) 274-8000,Acute Care Hospitals,Voluntary non-profit - Private
+93464,HARLEM HOSPITAL CENTER,506 LENOX AVENUE,NEW YORK,NY,10037,NEW YORK,(212) 939-1000,Acute Care Hospitals,Government - Local
+56100,UNIVERSITY OF MISSOURI HEALTH CARE,ONE HOSPITAL DRIVE,COLUMBIA,MO,65212,BOONE,(573) 882-4141,Acute Care Hospitals,Government - State
+12353,ST JOSEPH REGIONAL MEDICAL CENTER,415 SIXTH STREET,LEWISTON,ID,83501,NEZ PERCE,(208) 799-5300,Acute Care Hospitals,Voluntary non-profit - Private
+26246,DOVER BEHAVIORAL HEALTH SYSTEM,725 HORSEPOND ROAD,DOVER,DE,19901,KENT,(302) 741-0140,Psychiatric,Proprietary
+11780,MERCY HEALTH - WEST HOSPITAL,3300 MERCY HEALTH BLVD,CINCINNATI,OH,45211,HAMILTON,(513) 215-5000,Acute Care Hospitals,Voluntary non-profit - Private
+21931,OREGON STATE HOSPITAL DISTINCT PART,2600 CENTER STREET NE,SALEM,OR,97301,MARION,(503) 945-2870,Psychiatric,Government - State
+93783,CARILION ROANOKE MEMORIAL HOSPITAL,"1906 BELLEVIEW AVENUE, SE",ROANOKE,VA,24014,ROANOKE CITY,(540) 981-7000,Acute Care Hospitals,Voluntary non-profit - Private
+26739,THE HOSPITAL AT WESTLAKE MEDICAL CENTER,"5656 BEE CAVES ROAD, SUITE M-302",AUSTIN,TX,78746,TRAVIS,(512) 327-0000,Acute Care Hospitals,Proprietary
+73673,ABRAZO WEST CAMPUS,13677 WEST MCDOWELL ROAD,GOODYEAR,AZ,85395,MARICOPA,(623) 882-1970,Acute Care Hospitals,Proprietary
+20115,CHI MERCY HEALTH,570 CHAUTAUQUA BLVD,VALLEY CITY,ND,58072,BARNES,(701) 845-6400,Critical Access Hospitals,Voluntary non-profit - Church
+26237,TERRE HAUTE REGIONAL HOSPITAL,3901 S SEVENTH ST,TERRE HAUTE,IN,47802,VIGO,(812) 232-0021,Acute Care Hospitals,Proprietary
+11151,HIGHLANDS MEDICAL CENTER,380 WOODS COVE ROAD,SCOTTSBORO,AL,35768,JACKSON,(256) 259-4444,Acute Care Hospitals,Government - Hospital District or Authority
+82880,RUSSELL MEDICAL CENTER,3316 HIGHWAY 280,ALEXANDER CITY,AL,35010,TALLAPOOSA,(256) 329-7100,Acute Care Hospitals,Voluntary non-profit - Private
+70128,HSHS GOOD SHEPHERD HOSPITAL INC,200 S CEDAR ST,SHELBYVILLE,IL,62565,SHELBY,(217) 774-3961,Acute Care Hospitals,Voluntary non-profit - Private
+90850,TUBA CITY REGIONAL HEALTH CARE CORPORATION,PO BOX 600,TUBA CITY,AZ,86045,COCONINO,(928) 283-2501,Acute Care Hospitals,Voluntary non-profit - Other
+36083,CHILDRENS HOSPITAL OF WISCONSIN FOX VALLEY,130 SECOND ST,NEENAH,WI,54956,WINNEBAGO,(920) 969-7900,Childrens,Voluntary non-profit - Other
+44554,SOUTHERN OCEAN MEDICAL CENTER,1140 RT 72 W,MANAHAWKIN,NJ,8050,OCEAN,(609) 597-6011,Acute Care Hospitals,Voluntary non-profit - Private
+54165,UT SOUTHWESTERN UNIVERSITY HOSPITAL,6201 HARRY HINES BLVD,DALLAS,TX,75390,DALLAS,(214) 633-5555,Acute Care Hospitals,Government - State
+40644,BAPTIST MEMORIAL HOSPITAL UNION COUNTY,200 HWY 30 WEST,NEW ALBANY,MS,38652,UNION,(662) 538-7631,Acute Care Hospitals,Voluntary non-profit - Other
+83211,FALL RIVER HOSPITAL - CAH,1201 HIGHWAY 71 SOUTH,HOT SPRINGS,SD,57747,FALL RIVER,(605) 745-8910,Critical Access Hospitals,Government - Local
+33533,SOUTH TEXAS HEALTH SYSTEM,1102 W TRENTON ROAD,EDINBURG,TX,78539,HIDALGO,(956) 632-4484,Acute Care Hospitals,Proprietary
+15280,WESLEY MEDICAL CENTER,550 N HILLSIDE STREET,WICHITA,KS,67214,SEDGWICK,(316) 962-2000,Acute Care Hospitals,Proprietary
+30083,"BEATRICE COMMUNITY HOSPITAL & HEALTH CENTER, INC","P O BOX 278, 4800 HOSPITAL PARKWAY",BEATRICE,NE,68310,GAGE,(402) 228-3344,Critical Access Hospitals,Voluntary non-profit - Private
+74749,DARDANELLE HOSPITAL,200 NORTH THIRD STREET,DARDANELLE,AR,72834,YELL,(479) 229-4677,Critical Access Hospitals,Proprietary
+49396,ST VINCENT MERCY HOSPITAL,1331 S A ST,ELWOOD,IN,46036,MADISON,(765) 552-4743,Critical Access Hospitals,Voluntary non-profit - Church
+66461,THE JAMES B HAGGIN MEMORIAL HOSPITAL,464 LINDEN AVENUE,HARRODSBURG,KY,40330,MERCER,(859) 239-2409,Critical Access Hospitals,Voluntary non-profit - Other
+42211,CHESTER COUNTY HOSPITAL,701 EAST MARSHALL STREET,WEST CHESTER,PA,19380,CHESTER,(610) 431-5000,Acute Care Hospitals,Voluntary non-profit - Private
+45761,RANKIN HOSPITAL MEDICAL CLINIC,1611 SPUR 576,RANKIN,TX,79778,UPTON,(432) 693-2443,Critical Access Hospitals,Government - Hospital District or Authority
+14418,GROVE HILL MEMORIAL HOSPITAL,295 JACKSON HWY S,GROVE HILL,AL,36451,CLARKE,(251) 275-3191,Acute Care Hospitals,Government - Hospital District or Authority
+93994,BROWARD HEALTH MEDICAL CENTER,1600 S ANDREWS AVE,FORT LAUDERDALE,FL,33316,BROWARD,(954) 355-4400,Acute Care Hospitals,Government - Hospital District or Authority
+34667,DALLAS REGIONAL MEDICAL CENTER,1011 NORTH GALLOWAY AVENUE,MESQUITE,TX,75149,DALLAS,(214) 320-7000,Acute Care Hospitals,Proprietary
+58053,MERCY MEDICAL CENTER,1000 NORTH VILLAGE AVENUE,ROCKVILLE CENTRE,NY,11570,NASSAU,(516) 705-2525,Acute Care Hospitals,Voluntary non-profit - Private
+57273,WESTERN ARIZONA REGIONAL MEDICAL CENTER,2735 SILVER CREEK ROAD,BULLHEAD CITY,AZ,86442,MOHAVE,(928) 763-2273,Acute Care Hospitals,Proprietary
+92845,"ERLANGER BEHAVIORAL HOSPITAL, LLC",804 NORTH HOLTZCLAW AVENUE,CHATTANOOGA,TN,37404,HAMILTON,(877) 249-2737,Psychiatric,Proprietary
+39683,SEDGWICK COUNTY MEMORIAL HOSPITAL,900 CEDAR ST,JULESBURG,CO,80737,SEDGWICK,(970) 474-3323,Critical Access Hospitals,Government - Local
+62448,ST CATHERINE OF SIENA HOSPITAL,50 ROUTE 25A,SMITHTOWN,NY,11787,SUFFOLK,(631) 862-3000,Acute Care Hospitals,Voluntary non-profit - Private
+94514,MERCY HOSPITAL BOONEVILLE,880 WEST MAIN,BOONEVILLE,AR,72927,LOGAN,(479) 675-2800,Critical Access Hospitals,Voluntary non-profit - Private
+34383,TROY REGIONAL MEDICAL CENTER,1330 HIGHWAY 231 SOUTH,TROY,AL,36081,PIKE,(334) 670-5000,Acute Care Hospitals,Government - Federal
+29086,MOUNTAIN VIEW HOSPITAL,1000 EAST 100 NORTH,PAYSON,UT,84651,UTAH,(801) 465-7100,Acute Care Hospitals,Proprietary
+10106,DELTA REGIONAL MEDICAL CENTER,1400 E UNION ST,GREENVILLE,MS,38704,WASHINGTON,(662) 378-3783,Acute Care Hospitals,Government - Local
+14677,SEQUOYAH COUNTY-CITY OF SALLISAW HOSPITAL AUTHORIT,213 EAST REDWOOD,SALLISAW,OK,74955,SEQUOYAH,(918) 774-1100,Acute Care Hospitals,Government - Hospital District or Authority
+45076,SURGICAL SPECIALTY CENTER OF BATON ROUGE,8080 BLUEBONNET BLVD,BATON ROUGE,LA,70810,E. BATON ROUGE,(225) 408-8080,Acute Care Hospitals,Physician
+19039,MC DONOUGH DISTRICT HOSPITAL,525 EAST GRANT STREET,MACOMB,IL,61455,MC DONOUGH,(309) 833-4101,Acute Care Hospitals,Government - Hospital District or Authority
+37764,DELTA MEDICAL CENTER,3000 GETWELL RD,MEMPHIS,TN,38118,SHELBY,(901) 369-8100,Acute Care Hospitals,Proprietary
+57206,BETSY JOHNSON REGIONAL  HOSPITAL,800 TILGHMAN DR,DUNN,NC,28334,HARNETT,(910) 892-7161,Acute Care Hospitals,Voluntary non-profit - Private
+47667,EVANSVILLE STATE HOSPITAL,3400 LINCOLN AVENUE,EVANSVILLE,IN,47714,VANDERBURGH,(812) 469-6800,Psychiatric,Government - State
+47782,GOOD SHEPHERD MEDICAL CENTER,610 NW 11TH STREET,HERMISTON,OR,97838,UMATILLA,(541) 667-3400,Critical Access Hospitals,Voluntary non-profit - Private
+42582,MCKENZIE-WILLAMETTE MEDICAL CENTER,1460 G STREET,SPRINGFIELD,OR,97477,LANE,(541) 726-4400,Acute Care Hospitals,Voluntary non-profit - Private
+75711,AKRON GENERAL MEDICAL CENTER,1 AKRON GENERAL AVENUE,AKRON,OH,44307,SUMMIT,(330) 344-6000,Acute Care Hospitals,Voluntary non-profit - Private
+68117,FULTON MEDICAL CENTER LLC,10 SOUTH HOSPITAL DRIVE,FULTON,MO,65251,CALLAWAY,(573) 642-3376,Acute Care Hospitals,Voluntary non-profit - Private
+59889,CASCADE MEDICAL CENTER,817 COMMERCIAL STREET,LEAVENWORTH,WA,98826,CHELAN,(509) 548-5815,Critical Access Hospitals,Government - Hospital District or Authority
+50912,EASTLAND MEMORIAL HOSPITAL,304 S DAUGHERTY,EASTLAND,TX,76448,EASTLAND,(254) 629-2601,Acute Care Hospitals,Government - Hospital District or Authority
+13008,ORANGE COUNTY GLOBAL MEDICAL CENTER,1001 NORTH TUSTIN AVENUE,SANTA ANA,CA,92705,ORANGE,(714) 953-3610,Acute Care Hospitals,Proprietary
+47088,BAYLOR SCOTT AND WHITE MEDICAL CENTER LAKE POINTE,6800 SCENIC DR,ROWLETT,TX,75088,DALLAS,(972) 412-2273,Acute Care Hospitals,Proprietary
+36862,STROUD REGIONAL MEDICAL CENTER,2308 HIGHWAY 66 WEST,STROUD,OK,74079,LINCOLN,(918) 968-3571,Critical Access Hospitals,Voluntary non-profit - Private
+66254,POTOMAC VALLEY HOSPITAL,100 PIN OAK LANE,KEYSER,WV,26726,MINERAL,(304) 597-3500,Critical Access Hospitals,Voluntary non-profit - Private
+17026,BIG SOUTH FORK MEDICAL CENTER,18797 ALBERTA STREET,ONEIDA,TN,37841,SCOTT,(423) 286-5300,Acute Care Hospitals,Proprietary
+48892,DIGNITY HEALTH - ARIZONA GENERAL HOSPITAL,7171 SOUTH 51ST AVENUE,LAVEEN,AZ,85339,MARICOPA,(623) 584-5100,Acute Care Hospitals,Proprietary
+93864,MONTROSE MEMORIAL HOSPITAL,800 S 3RD ST,MONTROSE,CO,81401,MONTROSE,(970) 249-2211,Acute Care Hospitals,Voluntary non-profit - Private
+18224,RIVENDELL BEHAVIORAL HEALTH SERVICES OF ARKANSAS,100 RIVENDELL DRIVE,BENTON,AR,72019,SALINE,(501) 316-1255,Psychiatric,Proprietary
+85771,PRESBYTERIAN HOSPITAL,1100 CENTRAL AVENUE SE,ALBUQUERQUE,NM,87106,BERNALILLO,(505) 724-8386,Acute Care Hospitals,Voluntary non-profit - Private
+30231,GOOD SAMARITAN HOSPITAL MEDICAL CENTER,1000 MONTAUK HIGHWAY,WEST ISLIP,NY,11795,SUFFOLK,(631) 376-3000,Acute Care Hospitals,Voluntary non-profit - Church
+55595,HURON REGIONAL MEDICAL CENTER,172 FOURTH STREET SE,HURON,SD,57350,BEADLE,(605) 353-6200,Critical Access Hospitals,Voluntary non-profit - Private
+90571,CULLMAN REGIONAL MEDICAL CENTER,1912 ALABAMA HIGHWAY 157,CULLMAN,AL,35058,CULLMAN,(256) 737-2000,Acute Care Hospitals,Government - Hospital District or Authority
+62168,RIDGEVIEW BEHAVIORAL HOSPITAL,17872 LINCOLN HIGHWAY,MIDDLE POINT,OH,45863,VAN WERT,(419) 968-2950,Psychiatric,Proprietary
+31605,MOUNT NITTANY MEDICAL CENTER,1800 EAST PARK AVE,STATE COLLEGE,PA,16803,CENTRE,(814) 231-7000,Acute Care Hospitals,Voluntary non-profit - Private
+16510,BLUERIDGE VISTA HEALTH AND WELLNESS,5500 VERULAM AVENUE,CINCINNATI,OH,45213,HAMILTON,(513) 841-3011,Psychiatric,Proprietary
+76976,SUTTER ROSEVILLE MEDICAL CENTER,ONE MEDICAL PLAZA,ROSEVILLE,CA,95661,PLACER,(916) 781-1000,Acute Care Hospitals,Voluntary non-profit - Private
+93698,FALLS COMMUNITY HOSPITAL AND CLINIC,322 COLEMAN STREET,MARLIN,TX,76661,FALLS,(254) 803-3561,Acute Care Hospitals,Voluntary non-profit - Private
+84571,BRODSTONE MEMORIAL HOSP,"P O BOX 187, 520 EAST 10TH ST",SUPERIOR,NE,68978,NUCKOLLS,(402) 879-3281,Critical Access Hospitals,Voluntary non-profit - Private
+69556,GENESIS HEALTH SYSTEM,801 ILLINI DR,SILVIS,IL,61282,ROCK ISLAND,(309) 281-4000,Acute Care Hospitals,Government - Local
+33419,SURGERY SPECIALTY HOSPITALS OF AMERICA SE HOUSTON,4301 B VISTA,PASADENA,TX,77504,HARRIS,(713) 378-3000,Acute Care Hospitals,Proprietary
+57817,ERLANGER BLEDSOE HOSPITAL,71 WHEELERTOWN AVENUE,PIKEVILLE,TN,37367,BLEDSOE,(423) 447-2112,Critical Access Hospitals,Government - Hospital District or Authority
+90592,MERCY HOSPITAL,4572 COUNTY ROAD 61,MOOSE LAKE,MN,55767,CARLTON,(218) 485-4481,Critical Access Hospitals,Government - Hospital District or Authority
+14864,SELLS HOSPITAL,"HIGHWAY 86, AT TOPAWA ROAD",SELLS,AZ,85634,PIMA,(520) 362-7003,Acute Care Hospitals,Tribal
+71282,RANDOLPH HOSPITAL,364 WHITE OAK STREET,ASHEBORO,NC,27204,RANDOLPH,(336) 625-5151,Acute Care Hospitals,Voluntary non-profit - Private
+42546,HENRY FORD WEST BLOOMFIELD HOSPITAL,6777 WEST MAPLE ROAD,WEST BLOOMFIELD,MI,48322,OAKLAND,(248) 325-1000,Acute Care Hospitals,Voluntary non-profit - Private
+35921,GRACE MEDICAL CENTER,2412 50TH ST,LUBBOCK,TX,79412,LUBBOCK,(806) 788-4100,Acute Care Hospitals,Voluntary non-profit - Other
+91041,SPENCER MUNICIPAL HOSPITAL,1200 1ST AVENUE EAST,SPENCER,IA,51301,CLAY,(712) 264-8300,Acute Care Hospitals,Government - Local
+79334,PEACEHEALTH PEACE ISLAND MEDICAL CENTER,1117 SPRING STREET,FRIDAY HARBOR,WA,98250,SAN JUAN,(360) 378-2141,Critical Access Hospitals,Voluntary non-profit - Private
+12387,PETALUMA VALLEY HOSPITAL,400 N MCDOWELL BLVD,PETALUMA,CA,94954,SONOMA,(707) 778-1111,Acute Care Hospitals,Voluntary non-profit - Other
+30984,UCHEALTH BROOMFIELD HOSPITAL,11820 DESTINATION DRIVE,BROOMFIELD,CO,80021,JEFFERSON,(303) 460-6000,Acute Care Hospitals,Proprietary
+61789,BELLIN PSYCHIATRIC CENTER,301 E ST JOSEPH ST,GREEN BAY,WI,54301,BROWN,(920) 433-3630,Psychiatric,Voluntary non-profit - Church
+55032,HIGH POINT REGIONAL HOSPITAL,601 N ELM ST,HIGH POINT,NC,27261,GUILFORD,(336) 878-6000,Acute Care Hospitals,Voluntary non-profit - Private
+75936,NASSAU UNIVERSITY MEDICAL CENTER,2201 HEMPSTEAD TURNPIKE,EAST MEADOW,NY,11554,NASSAU,(516) 572-0123,Acute Care Hospitals,Government - Local
+35720,ST VINCENT HOSPITAL,123 SUMMER STREET,WORCESTER,MA,1608,WORCESTER,(508) 363-5000,Acute Care Hospitals,Proprietary
+33954,COLUSA MEDICAL CENTER,199 E WEBSTER STREET,COLUSA,CA,95932,COLUSA,(530) 619-0800,Acute Care Hospitals,Proprietary
+49064,SHASTA REGIONAL MEDICAL CENTER,1100 BUTTE ST,REDDING,CA,96001,SHASTA,(530) 244-5454,Acute Care Hospitals,Proprietary
+33624,HOLZER MEDICAL CENTER,100 JACKSON PIKE,GALLIPOLIS,OH,45631,GALLIA,(740) 446-5000,Acute Care Hospitals,Voluntary non-profit - Private
+10286,CLINCH MEMORIAL HOSPITAL,1050 VALDOSTA HIGHWAY,HOMERVILLE,GA,31634,CLINCH,(912) 487-5211,Critical Access Hospitals,Government - Local
+74462,PALMS BEHAVIORAL HEALTH,613 VICTORIA LANE,HARLINGEN,TX,78550,CAMERON,(956) 245-9665,Psychiatric,Proprietary
+85698,CHILDRENS HOSPITAL OF THE KINGS DAUGHTERS INC,601 CHILDREN'S LANE,NORFOLK,VA,23507,NORFOLK CITY,(757) 668-9647,Childrens,Voluntary non-profit - Private
+82261,CONEMAUGH MEYERSDALE MEDICAL CENTER,200 HOSPITAL DRIVE,MEYERSDALE,PA,15552,SOMERSET,(814) 634-5911,Critical Access Hospitals,Proprietary
+12625,KENT COUNTY MEMORIAL HOSPITAL,455 TOLL GATE RD,WARWICK,RI,2886,KENT,(401) 737-7010,Acute Care Hospitals,Proprietary
+73401,COLUMBUS REGIONAL HEALTHCARE SYSTEM,500 JEFFERSON ST,WHITEVILLE,NC,28472,COLUMBUS,(910) 642-8011,Acute Care Hospitals,Voluntary non-profit - Other
+51353,"BAYHEALTH HOSPITAL, SUSSEX CAMPUS",100 WELLNESS WAY,MILFORD,DE,19963,SUSSEX,(302) 422-3311,Acute Care Hospitals,Voluntary non-profit - Private
+22243,BAKERSFIELD HEART HOSPITAL,3001 SILLECT AVENUE,BAKERSFIELD,CA,93308,KERN,(661) 316-6000,Acute Care Hospitals,Proprietary
+91877,EXCELA HEALTH FRICK HOSPITAL,508 SOUTH CHURCH STREET,MOUNT PLEASANT,PA,15666,WESTMORELAND,(724) 547-1500,Acute Care Hospitals,Voluntary non-profit - Other
+66145,SANTA ROSA MEDICAL CENTER,6002 BERRYHILL RD,MILTON,FL,32570,SANTA ROSA,(850) 626-7762,Acute Care Hospitals,Proprietary
+19483,PALMS WEST HOSPITAL,13001 SOUTHERN BLVD,LOXAHATCHEE,FL,33470,PALM BEACH,(561) 753-4245,Acute Care Hospitals,Proprietary
+49009,VIDANT EDGECOMBE HOSPITAL,111 HOSPITAL DR,TARBORO,NC,27886,EDGECOMBE,(252) 641-7700,Acute Care Hospitals,Government - Local
+59174,BRENTWOOD HOSPITAL,1006 HIGHLAND AVENUE,SHREVEPORT,LA,71106,CADDO,(318) 678-7500,Psychiatric,Proprietary
+67633,ST FRANCIS COMMUNITY HOSPITAL,34515 9TH AVENUE SOUTH,FEDERAL WAY,WA,98003,KING,(253) 944-8100,Acute Care Hospitals,Voluntary non-profit - Church
+30102,NEW YORK-PRESBYTERIAN HOSPITAL-NEW YORK WEILL CORN,525 EAST 68TH STREET,NEW YORK,NY,10065,NEW YORK,(212) 746-5454,Acute Care Hospitals,Voluntary non-profit - Private
+45831,STILLWATER MEDICAL - PERRY,501 N 14TH ST,PERRY,OK,73077,NOBLE,(580) 336-3541,Acute Care Hospitals,Government - Hospital District or Authority
+49855,SCOTTSDALE THOMPSON PEAK MEDICAL CENTER,7400 EAST THOMPSON PEAK PARKWAY,SCOTTSDALE,AZ,85255,MARICOPA,(480) 324-7001,Acute Care Hospitals,Proprietary
+33828,VAN WERT COUNTY HOSPITAL,1250 S WASHINGTON STREET,VAN WERT,OH,45891,VAN WERT,(419) 238-8627,Acute Care Hospitals,Voluntary non-profit - Private
+72250,PARKVIEW HOSPITAL,901 S. SWEETWATER,WHEELER,TX,79096,WHEELER,(806) 826-5581,Critical Access Hospitals,Government - Hospital District or Authority
+36074,CITIZENS MEDICAL CENTER,100 E COLLEGE DRIVE,COLBY,KS,67701,THOMAS,(785) 462-7511,Critical Access Hospitals,Voluntary non-profit - Private
+51987,TRISTAR CENTENNIAL MEDICAL CENTER,2300 PATTERSON STREET,NASHVILLE,TN,37203,DAVIDSON,(615) 342-1000,Acute Care Hospitals,Proprietary
+40532,WINNER REGIONAL HEALTHCARE CENTER - CAH,745 EAST 8TH STREET,WINNER,SD,57580,TRIPP,(605) 842-7100,Critical Access Hospitals,Voluntary non-profit - Private
+45967,MONMOUTH MEDICAL CENTER-SOUTHERN CAMPUS,600 RIVER AVE,LAKEWOOD,NJ,8701,OCEAN,(732) 363-1900,Acute Care Hospitals,Voluntary non-profit - Private
+40590,SAINT FRANCIS MEDICAL CENTER,211 ST FRANCIS DR,CAPE GIRARDEAU,MO,63703,CAPE GIRARDEAU,(573) 331-3000,Acute Care Hospitals,Voluntary non-profit - Church
+72997,GOOD SAMARITAN HOSPITAL,901 OLIVE DRIVE,BAKERSFIELD,CA,93308,KERN,(661) 399-4461,Acute Care Hospitals,Proprietary
+63254,DIGNITY HEALTH ST ROSE DOMINICAN N L V  CAMPUS,1550 W CRAIG RANCH,NORTH LAS VEGAS,NV,89031,CLARK,(702) 777-3615,Acute Care Hospitals,Proprietary
+53060,GEORGE E WEEMS MEMORIAL HOSPITAL,135 AVE G,APALACHICOLA,FL,32320,FRANKLIN,(850) 653-8853,Critical Access Hospitals,Government - Local
+18909,CENTURA HEALTH-ST MARY CORWIN MEDICAL CENTER,1008 MINNEQUA AVE,PUEBLO,CO,81004,PUEBLO,(719) 557-4000,Acute Care Hospitals,Voluntary non-profit - Church
+70496,PILGRIM PSYCHIATRIC CENTER,998 CROOKED HILL ROAD,WEST BRENTWOOD,NY,11717,SUFFOLK,(631) 761-3500,Psychiatric,Government - State
+37948,MCBRIDE ORTHOPEDIC HOSPITAL,9600 NORTH BROADWAY EXTENSION,OKLAHOMA CITY,OK,73114,OKLAHOMA,(405) 486-2100,Acute Care Hospitals,Physician
+78047,TRISTAR GREENVIEW REGIONAL HOSPITAL,1801 ASHLEY CIRCLE,BOWLING GREEN,KY,42104,WARREN,(270) 793-1000,Acute Care Hospitals,Proprietary
+62442,QUITMAN COUNTY HOSPITAL CAH,340 GETWELL DRIVE,MARKS,MS,38646,QUITMAN,(662) 326-8031,Critical Access Hospitals,Proprietary
+19554,NH Camp Pendleton,200 Mercy Circle Camp Pendleton,Camp Pendleton,CA,92055,SAN DIEGO,(760) 725-1288,Acute Care - Department of Defense,Department of Defense
+79461,MERCY HEALTH-ALLEN HOSPITAL,200 WEST LORAIN STREET,OBERLIN,OH,44074,LORAIN,(440) 775-1211,Critical Access Hospitals,Voluntary non-profit - Private
+58230,CROUSE HOSPITAL,736 IRVING AVENUE,SYRACUSE,NY,13210,ONONDAGA,(315) 470-7449,Acute Care Hospitals,Voluntary non-profit - Private
+48810,ST HELENA PARISH HOSPITAL,16874 HIGHWAY 43,GREENSBURG,LA,70441,ST. HELENA,(225) 222-6111,Critical Access Hospitals,Government - Hospital District or Authority
+27798,CONEMAUGH NASON MEDICAL CENTER,105 NASON DRIVE,ROARING SPRING,PA,16673,BLAIR,(814) 224-2141,Acute Care Hospitals,Voluntary non-profit - Private
+27275,CHI HEALTH ST ELIZABETH,555 SOUTH 70TH ST,LINCOLN,NE,68510,LANCASTER,(402) 219-7700,Acute Care Hospitals,Voluntary non-profit - Private
+37358,LEXINGTON REGIONAL HEALTH CENTER,"P O BOX 980, 1201 NORTH ERIE ST",LEXINGTON,NE,68850,DAWSON,(308) 324-5651,Critical Access Hospitals,Government - Hospital District or Authority
+83162,BERKSHIRE MEDICAL CENTER INC - 1,725 NORTH STREET,PITTSFIELD,MA,1201,BERKSHIRE,(413) 447-2000,Acute Care Hospitals,Voluntary non-profit - Other
+94007,NORTH DAKOTA STATE HOSPITAL,2605 CIRCLE DRIVE,JAMESTOWN,ND,58401,STUTSMAN,(701) 253-3650,Psychiatric,Government - State
+31943,LONGS PEAK HOSPITAL,1750 EAST KEN PRATT BOULEVARD,LONGMONT,CO,80504,BOULDER,(720) 718-3005,Acute Care Hospitals,Voluntary non-profit - Private
+62869,JEWISH HOSPITAL & ST MARY'S HEALTHCARE,200 ABRAHAM FLEXNER WAY,LOUISVILLE,KY,40202,JEFFERSON,(502) 587-4011,Acute Care Hospitals,Voluntary non-profit - Private
+10707,MARION REGIONAL MEDICAL CENTER,1256 MILITARY STREET SOUTH,HAMILTON,AL,35570,MARION,(205) 921-6200,Acute Care Hospitals,Voluntary non-profit - Private
+32007,WAYNE MEDICAL CENTER,103 J V MANGUBAT DR,WAYNESBORO,TN,38485,WAYNE,(931) 722-5411,Acute Care Hospitals,Voluntary non-profit - Other
+56140,MERCYONE CEDAR FALLS MEDICAL CENTER,515 COLLEGE STREET,CEDAR FALLS,IA,50613,BLACK HAWK,(319) 268-3000,Acute Care Hospitals,Voluntary non-profit - Church
+15816,COMANCHE COUNTY HOSPITAL,2ND & FRISCO STREET,COLDWATER,KS,67029,COMANCHE,(620) 582-2144,Critical Access Hospitals,Government - Local
+56452,COLUMBUS COMMUNITY HOSPITAL,110 SHULT DR,COLUMBUS,TX,78934,COLORADO,(979) 732-2371,Acute Care Hospitals,Voluntary non-profit - Private
+43808,KIRBY MEDICAL CENTER,1000 MEDICAL CENTER DRIVE,MONTICELLO,IL,61856,PIATT,(217) 762-2115,Critical Access Hospitals,Voluntary non-profit - Private
+34437,PENNSYLVANIA PSYCHIATRIC INSTITUTE,2501 NORTH THIRD STREET,HARRISBURG,PA,17110,DAUPHIN,(717) 782-4742,Psychiatric,Proprietary
+80391,NICHOLAS H NOYES MEMORIAL HOSPITAL,111  CLARA BARTON STREET,DANSVILLE,NY,14437,LIVINGSTON,(585) 335-6001,Acute Care Hospitals,Voluntary non-profit - Private
+35187,PROVIDENCE HOSPITAL,6801 AIRPORT BOULEVARD,MOBILE,AL,36608,MOBILE,(251) 633-1000,Acute Care Hospitals,Voluntary non-profit - Church
+43722,HASKELL COUNTY COMMUNITY HOSPITAL,401 NORTHWEST H STREET,STIGLER,OK,74462,HASKELL,(918) 967-4682,Critical Access Hospitals,Proprietary
+90842,PERIMETER BEHAVIORAL HOSPITAL OF SPRINGFIELD,2828 N NATIONAL,SPRINGFIELD,MO,65803,GREENE,(417) 837-4000,Psychiatric,Proprietary
+59676,"ROME MEMORIAL HOSPITAL, INC",1500 NORTH JAMES STREET,ROME,NY,13440,ONEIDA,(315) 338-7000,Acute Care Hospitals,Voluntary non-profit - Private
+48128,SIGNATURE PSYCHIATRIC HOSPITAL,2900 CLAY EDWARDS DRIVE,NORTH KANSAS CITY,MO,64116,CLAY,(816) 691-5101,Psychiatric,Proprietary
+82908,NAPLES COMMUNITY HOSPITAL,350 7TH ST N,NAPLES,FL,34102,COLLIER,(239) 436-5000,Acute Care Hospitals,Voluntary non-profit - Private
+94876,GRANT MEDICAL CENTER,111 SOUTH GRANT AVENUE,COLUMBUS,OH,43215,FRANKLIN,(614) 566-9000,Acute Care Hospitals,Voluntary non-profit - Church
+21212,REDMOND REGIONAL MEDICAL CENTER,501 REDMOND ROAD,ROME,GA,30165,FLOYD,(706) 802-3012,Acute Care Hospitals,Proprietary
+70979,"CARRIS HEALTH - REDWOOD, LLC",100 FALLWOOD ROAD,REDWOOD FALLS,MN,56283,REDWOOD,(507) 637-4500,Critical Access Hospitals,Government - Local
+90619,DAVIS MEDICAL CENTER,812 GORMAN AVENUE,ELKINS,WV,26241,RANDOLPH,(304) 636-3300,Acute Care Hospitals,Voluntary non-profit - Private
+63053,SYCAMORE MEDICAL CENTER,4000 MIAMISBURG-CENTERVILLE ROAD,MIAMISBURG,OH,45342,MONTGOMERY,(937) 384-8776,Acute Care Hospitals,Voluntary non-profit - Church
+15063,BMH-CALHOUN,140 BURKE-CALHOUN CITY ROAD,CALHOUN CITY,MS,38916,CALHOUN,(662) 628-6611,Critical Access Hospitals,Voluntary non-profit - Private
+25289,PRISMA HEALTH RICHLAND HOSPITAL,5 MEDICAL PARK,COLUMBIA,SC,29203,RICHLAND,(803) 296-2548,Acute Care Hospitals,Voluntary non-profit - Private
+47277,PROVIDENCE ST JOSEPH MEDICAL CENTER,6 13TH AVE E,POLSON,MT,59860,LAKE,(406) 883-5377,Critical Access Hospitals,Voluntary non-profit - Private
+17216,UNIVERSITY OF MD LAUREL REGIONAL HOSPITAL,7300 VAN DUSEN ROAD,LAUREL,MD,20707,PRINCE GEORGES,(301) 725-4300,Acute Care Hospitals,Voluntary non-profit - Private
+92276,WEST SPRINGS HOSPITAL,515 28 3/4 RD,GRAND JUNCTION,CO,81501,MESA,(970) 263-4918,Psychiatric,Voluntary non-profit - Private
+45570,GROVER C DILS MEDICAL CENTER,"700 N SPRING ST, BOX 1010-C-ADM BLDG",CALIENTE,NV,89008,LINCOLN,(775) 726-3171,Critical Access Hospitals,Government - Hospital District or Authority
+23313,STONEWALL JACKSON MEMORIAL HOSPITAL,230 HOSPITAL PLAZA,WESTON,WV,26452,LEWIS,(304) 269-8080,Acute Care Hospitals,Voluntary non-profit - Private
+28769,MILAN GENERAL HOSPITAL,4039 HIGHLAND ST,MILAN,TN,38358,GIBSON,(731) 686-1591,Acute Care Hospitals,Government - Local
+57771,MERCY MEDICAL CENTER-NORTH IOWA,1000 FOURTH STREET SW,MASON CITY,IA,50401,CERRO GORDO,(641) 428-7000,Acute Care Hospitals,Voluntary non-profit - Private
+73416,AURORA SHEBOYGAN MEMORIAL MEDICAL CTR,2629 N 7TH ST,SHEBOYGAN,WI,53083,SHEBOYGAN,(920) 451-5000,Acute Care Hospitals,Voluntary non-profit - Private
+27522,CHI ST ALEXIUS HEALTH TURTLE LAKE,220 5TH AVE W,TURTLE LAKE,ND,58575,MCLEAN,(701) 448-2331,Critical Access Hospitals,Voluntary non-profit - Church
+83145,ESSENTIA HEALTH ADA,201 9TH STREET WEST,ADA,MN,56510,NORMAN,(218) 784-5000,Critical Access Hospitals,Voluntary non-profit - Private
+75308,HILLS & DALES GENERAL HOSPITAL,4675 HILL STREET,CASS CITY,MI,48726,TUSCOLA,(989) 872-2121,Critical Access Hospitals,Voluntary non-profit - Private
+57265,SUMMIT OAKS HOSPITAL,19 PROSPECT ST,SUMMIT,NJ,7901,UNION,(908) 522-7027,Psychiatric,Proprietary
+27766,BRADLEY COUNTY MEDICAL CENTER,404 SOUTH BRADLEY STREET,WARREN,AR,71671,BRADLEY,(870) 226-3731,Critical Access Hospitals,Voluntary non-profit - Private
+90968,PROVIDENCE MEDICAL CENTER,8929 PARALLEL PARKWAY,KANSAS CITY,KS,66112,WYANDOTTE,(913) 596-4000,Acute Care Hospitals,Voluntary non-profit - Church
+80170,GUTHRIE COUNTY HOSPITAL,710 NORTH 12TH STREET,GUTHRIE CENTER,IA,50115,GUTHRIE,(641) 332-2201,Critical Access Hospitals,Government - Local
+32380,CHOCTAW MEMORIAL HOSPITAL,1405 EAST KIRK ROAD,HUGO,OK,74743,CHOCTAW,(580) 317-9500,Acute Care Hospitals,Government - Hospital District or Authority
+46922,HUDSON REGIONAL HOSPITAL,55 MEADOWLANDS PKWY,SECAUCUS,NJ,7094,HUDSON,(201) 392-3200,Acute Care Hospitals,Proprietary
+83569,"COMMUNITY HOSPITAL, LLC",3100 SOUTHWEST 89TH STREET,OKLAHOMA CITY,OK,73159,OKLAHOMA,(405) 602-8100,Acute Care Hospitals,Physician
+45705,ARH OUR LADY OF THE WAY,11203 MAIN STREET,MARTIN,KY,41649,FLOYD,(606) 285-6400,Critical Access Hospitals,Voluntary non-profit - Private
+48919,HOLY REDEEMER HOSPITAL AND MEDICAL CENTER,1648 HUNTINGDON PIKE,MEADOWBROOK,PA,19046,MONTGOMERY,(215) 947-3000,Acute Care Hospitals,Voluntary non-profit - Church
+41999,BUCHANAN GENERAL HOSPITAL,1535 SLATE CREEK ROAD,GRUNDY,VA,24614,BUCHANAN,(276) 935-1000,Acute Care Hospitals,Voluntary non-profit - Private
+79199,STONY BROOK UNIVERSITY HOSPITAL,HEALTH SCIENCES CENTER SUNY,STONY BROOK,NY,11794,SUFFOLK,(631) 444-4000,Acute Care Hospitals,Government - State
+39534,PLAINS MEMORIAL HOSPITAL,310 WEST HALSELL STREET,DIMMITT,TX,79027,CASTRO,(806) 647-2191,Critical Access Hospitals,Government - Hospital District or Authority
+14039,99th Medical Group (Nellis AFB),99 MDG 4700 Las Vegas Blvd,Nellis AFB,NV,89191,CLARK,(702) 653-2273,Acute Care - Department of Defense,Department of Defense
+46425,CLIFTON SPRINGS HOSPITAL AND CLINIC,2 COULTER ROAD,CLIFTON SPRINGS,NY,14432,ONTARIO,(315) 462-9561,Acute Care Hospitals,Voluntary non-profit - Private
+25377,SSM HEALTH ST. MARY'S HOSPITAL - JEFFERSON CITY,2505 MISSION DRIVE,JEFFERSON CITY,MO,65109,COLE,(573) 681-3000,Acute Care Hospitals,Proprietary
+74288,MERCY REGIONAL MEDICAL CENTER,800 E MAIN,VILLE PLATTE,LA,70586,EVANGELINE,(337) 363-5684,Acute Care Hospitals,Proprietary
+14108,ESSENTIA HEALTH NORTHERN PINES MEDICAL CENTER,5211 HIGHWAY 110,AURORA,MN,55705,ST. LOUIS,(218) 229-4222,Critical Access Hospitals,Voluntary non-profit - Private
+72192,TISHOMINGO HEALTH SERVICES INC,1777 CURTIS DRIVE,IUKA,MS,38852,TISHOMINGO,(662) 423-6051,Acute Care Hospitals,Voluntary non-profit - Private
+10876,THOMAS H BOYD MEMORIAL HOSPITAL,800 SCHOOL ST,CARROLLTON,IL,62016,GREENE,(217) 942-6946,Critical Access Hospitals,Voluntary non-profit - Private
+53959,MERCY HOSPITAL OF BUFFALO,565 ABBOTT ROAD,BUFFALO,NY,14220,ERIE,(716) 826-7000,Acute Care Hospitals,Voluntary non-profit - Private
+88281,UINTAH BASIN MEDICAL CENTER,250 WEST 300 NORTH,ROOSEVELT,UT,84066,DUCHESNE,(435) 722-4691,Acute Care Hospitals,Voluntary non-profit - Other
+63255,HOSPITAL PEREA,15 DR BASORA STREET,MAYAGUEZ,PR,681,MAYAGUEZ,(787) 834-0101,Acute Care Hospitals,Proprietary
+93013,SAN LUIS VALLEY HEALTH CONEJOS COUNTY HOSPITAL,19021 US HIGHWAY 285,LA JARA,CO,81140,CONEJOS,(719) 274-5121,Critical Access Hospitals,Voluntary non-profit - Private
+85752,ADVENTHEALTH DAYTONA BEACH,301 MEMORIAL MEDICAL PARKWAY,DAYTONA BEACH,FL,32117,VOLUSIA,(386) 676-6000,Acute Care Hospitals,Voluntary non-profit - Church
+32284,GEORGE WASHINGTON UNIV HOSPITAL,900 23RD ST NW,WASHINGTON,DC,20037,THE DISTRICT,(202) 716-4605,Acute Care Hospitals,Proprietary
+59503,MENLO PARK SURGICAL HOSPITAL,570 WILLOW ROAD,MENLO PARK,CA,94025,SAN MATEO,(650) 324-8500,Acute Care Hospitals,Voluntary non-profit - Private
+29185,COMMUNITY HOSPITAL,2351 'G' ROAD,GRAND JUNCTION,CO,81505,MESA,(970) 256-6201,Acute Care Hospitals,Voluntary non-profit - Private
+33607,OSS ORTHOPAEDIC HOSPITAL,1861 POWDER MILL RD,YORK,PA,17402,YORK,(717) 718-2000,Acute Care Hospitals,Proprietary
+72413,COGDELL MEMORIAL HOSPITAL,1700 COGDELL BLVD,SNYDER,TX,79549,SCURRY,(325) 574-7437,Critical Access Hospitals,Government - Hospital District or Authority
+66104,NORTHWEST TEXAS HOSPITAL,1501 S  COULTER ST,AMARILLO,TX,79106,POTTER,(806) 354-1110,Acute Care Hospitals,Voluntary non-profit - Private
+64318,ALVARADO HOSPITAL MEDICAL CENTER,6655 ALVARADO ROAD,SAN DIEGO,CA,92120,SAN DIEGO,(619) 229-3172,Acute Care Hospitals,Proprietary
+28792,ARKANSAS CHILDREN'S HOSPITAL,"1 CHILDREN'S WAY, SLOT 301",LITTLE ROCK,AR,72202,PULASKI,(501) 364-1100,Childrens,Voluntary non-profit - Private
+40794,EVANGELICAL COMMUNITY HOSPITAL,ONE HOSPITAL DRIVE,LEWISBURG,PA,17837,UNION,(570) 522-2200,Acute Care Hospitals,Voluntary non-profit - Other
+13210,MEMORIAL HERMANN SUGAR LAND HOSPITAL,17500 W GRAND PARKWAY SOUTH,SUGAR LAND,TX,77479,FORT BEND,(281) 725-5000,Acute Care Hospitals,Voluntary non-profit - Private
+94089,NAVOS,2600 SOUTHWEST HOLDEN,SEATTLE,WA,98126,KING,(206) 933-7299,Psychiatric,Voluntary non-profit - Private
+13441,JEFFERSON MEDICAL CENTER,300 SOUTH PRESTON STREET,RANSON,WV,25438,JEFFERSON,(304) 728-1600,Critical Access Hospitals,Voluntary non-profit - Private
+36496,UNITY MEDICAL AND SURGICAL HOSPITAL,4455 EDISON LAKES PKWY,MISHAWAKA,IN,46545,ST. JOSEPH,(574) 231-6800,Acute Care Hospitals,Physician
+31833,POPLAR COMMUNITY HOSPITAL,211 H ST E,POPLAR,MT,59255,ROOSEVELT,(406) 768-6100,Critical Access Hospitals,Voluntary non-profit - Private
+85041,"DESERT PARKWAY BEHAVIORAL HEALTHCARE HOSPITAL, LLC",3247 S MARYLAND PARKWAY,LAS VEGAS,NV,89109,CLARK,(248) 905-5096,Psychiatric,Proprietary
+51043,BRANDON REGIONAL HOSPITAL,119 OAKFIELD DR,BRANDON,FL,33511,HILLSBOROUGH,(813) 681-5551,Acute Care Hospitals,Proprietary
+37884,HOOPESTON COMMUNITY MEMORIAL HOSPITAL,701 EAST ORANGE STREET,HOOPESTON,IL,60942,VERMILION,(217) 283-5531,Critical Access Hospitals,Voluntary non-profit - Private
+67000,MOBILE INFIRMARY MEDICAL CENTER,5 MOBILE INFIRMARY CIRCLE,MOBILE,AL,36652,MOBILE,(251) 435-4700,Acute Care Hospitals,Voluntary non-profit - Private
+66454,PLATEAU MEDICAL CENTER,"430 MAIN STREET, WEST",OAK HILL,WV,25901,FAYETTE,(304) 469-8600,Critical Access Hospitals,Proprietary
+54787,STRATEGIC BEHAVIORAL CENTER-LELAND,2050 MERCANTILE DRIVE,LELAND,NC,28451,BRUNSWICK,(910) 371-2500,Psychiatric,Proprietary
+38261,SAMUEL SIMMONDS MEMORIAL HOSPITAL,7000 UULA ST,BARROW,AK,99723,NORTH SLOPE BOROUH,(907) 852-4611,Critical Access Hospitals,Government - Federal
+94674,SATANTA DISTRICT HOSPITAL,CHEYENNE & APACHE,SATANTA,KS,67870,HASKELL,(620) 649-2761,Critical Access Hospitals,Government - Hospital District or Authority
+17961,MONTGOMERY COUNTY MEMORIAL HOSPITAL,2301 EASTERN AVENUE,RED OAK,IA,51566,MONTGOMERY,(712) 623-7000,Critical Access Hospitals,Government - Local
+84419,MH ST JOSEPH WARREN HOSPITAL,667 EASTLAND AVE SE,WARREN,OH,44481,TRUMBULL,(330) 841-4016,Acute Care Hospitals,Voluntary non-profit - Private
+68902,BELL HOSPITAL,901 LAKESHORE DRIVE,ISHPEMING,MI,49849,MARQUETTE,(906) 486-4431,Critical Access Hospitals,Proprietary
+40158,BAPTIST MEMORIAL HOSPITAL UNION CITY,"1201 BISHOP ST, PO BOX 310",UNION CITY,TN,38261,OBION,(731) 885-2410,Acute Care Hospitals,Voluntary non-profit - Private
+60050,ST LUKES HOSPITAL OF KANSAS CITY,4401 WORNALL ROAD,KANSAS CITY,MO,64111,JACKSON,(816) 932-2000,Acute Care Hospitals,Voluntary non-profit - Private
+21848,TRINITY MEDICAL CTR EAST &TRINITY MEDICAL CTR WEST,380 SUMMIT AVENUE,STEUBENVILLE,OH,43952,JEFFERSON,(740) 283-7000,Acute Care Hospitals,Voluntary non-profit - Other
+66738,LAKESIDE BEHAVIORAL HEALTH SYSTEM,2911 BRUNSWICK RD,MEMPHIS,TN,38133,SHELBY,(901) 377-4700,Psychiatric,Voluntary non-profit - Church
+74211,WYOMING BEHAVIORAL INSTITUTE,2521 EAST 15TH STREET,CASPER,WY,82609,NATRONA,(307) 237-7444,Psychiatric,Proprietary
+63659,FOND DU LAC COUNTY ACUTE PSYCH UNIT,459 E FIRST ST,FOND DU LAC,WI,54935,FOND DU LAC,(920) 929-3500,Psychiatric,Government - Local
+39691,UNIVERSITY MEDICAL CENTER NEW ORLEANS,2000 CANAL STREET,NEW ORLEANS,LA,70112,ORLEANS,(504) 903-3000,Acute Care Hospitals,Voluntary non-profit - Private
+30774,UNITED MEMORIAL MEDICAL CENTER,510 W TIDWELL,HOUSTON,TX,77091,HARRIS,(713) 691-1111,Acute Care Hospitals,Physician
+22242,HARRISON MEMORIAL HOSPITAL,2520 CHERRY AVENUE,BREMERTON,WA,98310,KITSAP,(360) 377-3911,Acute Care Hospitals,Voluntary non-profit - Private
+16059,WOMEN'S HOSPITAL THE,4199 GATEWAY BLVD,NEWBURGH,IN,47630,WARRICK,(812) 842-4200,Acute Care Hospitals,Proprietary
+34936,NEW HANOVER REGIONAL MEDICAL CENTER,2131 S 17TH ST BOX 9000,WILMINGTON,NC,28402,NEW HANOVER,(910) 343-7000,Acute Care Hospitals,Government - Local
+82698,BLUE MOUNTAIN HOSPITAL,170 FORD ROAD,JOHN DAY,OR,97845,GRANT,(541) 575-1311,Critical Access Hospitals,Government - Hospital District or Authority
+24590,BAYLOR SCOTT & WHITE TEXAS SPINE & JOINT HOSPITAL,1814 ROSELAND BOULEVARD,TYLER,TX,75701,SMITH,(903) 525-3300,Acute Care Hospitals,Physician
+72459,BIG SANDY MEDICAL CENTER,166 MONTANA AVE E,BIG SANDY,MT,59520,CHOUTEAU,(406) 378-2188,Critical Access Hospitals,Voluntary non-profit - Private
+48565,BEHAVIORAL HOSPITAL OF BELLAIRE,"5314 DASHWOOD, SUITE 200",HOUSTON,TX,77081,HARRIS,(713) 600-9500,Psychiatric,Proprietary
+51492,OCEANS BEHAVIORAL HOSPITAL OF LUFKIN LLC,302 GOBBLERS KNOB RD,LUFKIN,TX,75904,ANGELINA,(936) 632-2276,Psychiatric,Proprietary
+15285,SOUTHERN REGIONAL MEDICAL CENTER,"11 UPPER RIVERDALE ROAD, SW",RIVERDALE,GA,30274,CLAYTON,(770) 991-8160,Acute Care Hospitals,Voluntary non-profit - Private
+57721,BAPTIST HEALTH MEDICAL CENTER-ARKADELPHIA,3050 TWIN RIVERS DRIVE,ARKADELPHIA,AR,71923,CLARK,(870) 245-2622,Critical Access Hospitals,Voluntary non-profit - Private
+76405,SOUTHERN VIRGINIA MENTAL HEALTH INSTITUTE,382 TAYLOR DRIVE,DANVILLE,VA,24541,DANVILLE CITY,(434) 799-6220,Psychiatric,Government - State
+82869,ARIZONA STATE HOSPITAL,2500 EAST VAN BUREN STREET,PHOENIX,AZ,85008,MARICOPA,(602) 220-6000,Psychiatric,Government - State
+77816,MERCY HOSPITAL SPRINGFIELD,1235 E CHEROKEE,SPRINGFIELD,MO,65804,GREENE,(417) 820-2000,Acute Care Hospitals,Voluntary non-profit - Private
+45390,BINGHAM MEMORIAL HOSPITAL,98 POPLAR STREET,BLACKFOOT,ID,83221,BINGHAM,(208) 785-3804,Critical Access Hospitals,Voluntary non-profit - Private
+81914,PORTNEUF MEDICAL CENTER,777 HOSPITAL WAY,POCATELLO,ID,83201,BANNOCK,(208) 239-1000,Acute Care Hospitals,Proprietary
+42370,ARBOR HEALTH MORTON HOSPITAL,521 ADAMS STREET,MORTON,WA,98356,LEWIS,(360) 496-5112,Critical Access Hospitals,Government - Hospital District or Authority
+28167,KAISER FOUNDATION HOSPITAL - WOODLAND HILLS,5601 DE SOTO AVENUE,WOODLAND HILLS,CA,91367,LOS ANGELES,(818) 719-3800,Acute Care Hospitals,Voluntary non-profit - Private
+18110,FRANCISCAN HEALTH MOORESVILLE,1201 HADLEY RD,MOORESVILLE,IN,46158,MORGAN,(317) 831-1160,Acute Care Hospitals,Voluntary non-profit - Church
+84339,WHEATLAND MEMORIAL HOSPITAL,530 3RD ST NW,HARLOWTON,MT,59036,WHEATLAND,(406) 632-4351,Critical Access Hospitals,Government - Local
+12617,NORTHWEST HEALTH PHYSICIANS SPECIALTY HOSPITAL,3873 NORTH PARKVIEW DRIVE,FAYETTEVILLE,AR,72703,WASHINGTON,(479) 571-7002,Acute Care Hospitals,Proprietary
+36124,LINCOLN HEALTH,35 MILES STREET,DAMARISCOTTA,ME,4543,LINCOLN,(207) 563-1234,Critical Access Hospitals,Voluntary non-profit - Private
+49986,BAYLOR SCOTT AND WHITE MEDICAL CENTER UPTOWN,2727 EAST LEMMON AVENUE BUILDING I,DALLAS,TX,75204,DALLAS,(214) 443-3000,Acute Care Hospitals,Proprietary
+69519,LAKE MARTIN COMMUNITY HOSPITAL,201 MARIARDEN ROAD,DADEVILLE,AL,36853,TALLAPOOSA,(256) 825-7821,Acute Care Hospitals,Proprietary
+33548,MADISON HEALTH,210 NORTH MAIN STREET,LONDON,OH,43140,MADISON,(740) 845-7000,Acute Care Hospitals,Voluntary non-profit - Private
+51268,MOUNTAINVIEW HOSPITAL,3100 N TENAYA WAY,LAS VEGAS,NV,89128,CLARK,(702) 255-5065,Acute Care Hospitals,Proprietary
+71831,SHARP CORONADO HOSPITAL AND HLTHCR CTR,250 PROSPECT PLACE,CORONADO,CA,92118,SAN DIEGO,(619) 435-6251,Acute Care Hospitals,Proprietary
+59496,HIGHLAND HOSPITAL,1000 SOUTH AVENUE,ROCHESTER,NY,14620,MONROE,(585) 341-6736,Acute Care Hospitals,Voluntary non-profit - Private
+56841,CHILDREN'S HOSPITAL OF ORANGE COUNTY,1201 W LA VETA AVE,ORANGE,CA,92868,ORANGE,(714) 997-3000,Childrens,Voluntary non-profit - Other
+71768,PANA COMMUNITY HOSPITAL,101 E NINTH STREET,PANA,IL,62557,CHRISTIAN,(217) 562-2131,Critical Access Hospitals,Voluntary non-profit - Private
+77539,MOUNT ST MARY'S HOSPITAL AND  HEALTH CENTER,5300 MILITARY ROAD,LEWISTON,NY,14092,NIAGARA,(716) 297-4800,Acute Care Hospitals,Voluntary non-profit - Church
+67117,BON SECOURS HOSPITAL,2000 W BALTIMORE STREET,BALTIMORE,MD,21223,BALTIMORE CITY,(410) 362-3000,Acute Care Hospitals,Voluntary non-profit - Private
+62867,LANDMANN-JUNGMAN MEMORIAL HOSPITAL - CAH,600 BILLARS ST,SCOTLAND,SD,57059,BON HOMME,(605) 583-2226,Critical Access Hospitals,Government - Local
+24730,CHRISTUS JASPER MEMORIAL HOSPITAL,1275 MARVIN HANCOCK DRIVE,JASPER,TX,75951,JASPER,(409) 384-5461,Acute Care Hospitals,Voluntary non-profit - Private
+90655,MEDICAL CITY DENTON,3535 SOUTH I35 EAST,DENTON,TX,76210,DENTON,(940) 384-3535,Acute Care Hospitals,Proprietary
+23399,SPRINGHILL MEMORIAL HOSPITAL,3719 DAUPHIN STREET,MOBILE,AL,36608,MOBILE,(251) 344-9630,Acute Care Hospitals,Proprietary
+73876,SANTA ROSA MEMORIAL HOSPITAL,1165 MONTGOMERY DR,SANTA ROSA,CA,95405,SONOMA,(707) 525-5300,Acute Care Hospitals,Voluntary non-profit - Private
+45344,EMORY HILLANDALE HOSPITAL,2801 DEKALB MEDICAL PARKWAY,LITHONIA,GA,30058,DE KALB,(404) 501-8040,Acute Care Hospitals,Government - Hospital District or Authority
+77530,CLEVELAND AREA HOSPITAL,1401 WEST PAWNEE,CLEVELAND,OK,74020,PAWNEE,(918) 358-2501,Critical Access Hospitals,Government - Hospital District or Authority
+79632,INDIANA UNIVERSITY HEALTH BALL MEMORIAL HOSPITAL,2401 UNIVERSITY AVE,MUNCIE,IN,47303,DELAWARE,(765) 747-3111,Acute Care Hospitals,Voluntary non-profit - Private
+67599,GUNDERSEN TRI-COUNTY HOSPITAL AND CLINICS,18601 LINCOLN ST,WHITEHALL,WI,54773,TREMPEALEAU,(715) 538-4361,Critical Access Hospitals,Voluntary non-profit - Private
+61216,OAKBEND MEDICAL CENTER,1705 JACKSON ST,RICHMOND,TX,77469,FORT BEND,(281) 341-3000,Acute Care Hospitals,Government - Hospital District or Authority
+69757,BAPTIST MEDICAL CENTER SOUTH,2105 EAST SOUTH BOULEVARD,MONTGOMERY,AL,36116,MONTGOMERY,(334) 288-2100,Acute Care Hospitals,Government - Hospital District or Authority
+29647,ATLANTIC GENERAL HOSPITAL,9733 HEALTHWAY DRIVE,BERLIN,MD,21811,WORCESTER,(410) 641-9600,Acute Care Hospitals,Voluntary non-profit - Private
+37582,F W HUSTON MEDICAL CENTER,408 DELAWARE STREET,WINCHESTER,KS,66097,JEFFERSON,(913) 774-4340,Critical Access Hospitals,Voluntary non-profit - Private
+26567,HUNTERDON MEDICAL CENTER,2100 WESCOTT DRIVE,FLEMINGTON,NJ,8822,HUNTERDON,(908) 788-6100,Acute Care Hospitals,Voluntary non-profit - Private
+72802,MASON GENERAL HOSPITAL & FAMILY OF CLINICS,901 MT VIEW DRIVE,SHELTON,WA,98584,MASON,(360) 426-1611,Critical Access Hospitals,Government - Hospital District or Authority
+78528,TEXAS HEALTH HUGULEY HOSPITAL FORT WORTH SOUTH,11801 SOUTH FREEWAY,BURLESON,TX,76028,JOHNSON,(817) 568-5317,Acute Care Hospitals,Voluntary non-profit - Church
+50015,MERCY MEDICAL CENTER-NEW HAMPTON,308 NORTH MAPLE AVENUE,NEW HAMPTON,IA,50659,CHICKASAW,(641) 394-4121,Critical Access Hospitals,Voluntary non-profit - Church
+69418,SUTTER TRACY COMMUNITY HOSPITAL,1420 NORTH TRACY BLVD,TRACY,CA,95376,SAN JOAQUIN,(209) 835-1500,Acute Care Hospitals,Voluntary non-profit - Private
+85685,PEACEHEALTH SOUTHWEST MEDICAL CENTER,400 NE MOTHER JOSEPH PLACE,VANCOUVER,WA,98668,CLARK,(360) 256-2000,Acute Care Hospitals,Voluntary non-profit - Private
+93412,"OKLAHOMA HEART HOSPITAL SOUTH, LLC",5200 EAST I-240 SERVICE ROAD,OKLAHOMA CITY,OK,73135,OKLAHOMA,(405) 628-6000,Acute Care Hospitals,Physician
+14452,NORTHWEST MEDICAL CENTER,2801 N STATE RD 7,MARGATE,FL,33063,BROWARD,(954) 974-0400,Acute Care Hospitals,Proprietary
+70043,NORTHERN NAVAJO MEDICAL CENTER,US HWY 491 NORTH,SHIPROCK,NM,87420,SAN JUAN,(505) 368-6001,Acute Care Hospitals,Government - Federal
+89852,ASTRIA SUNNYSIDE HOSPITAL,1016 TACOMA AVENUE,SUNNYSIDE,WA,98944,YAKIMA,(509) 837-1500,Critical Access Hospitals,Voluntary non-profit - Private
+87008,CHICKASAW NATION MEDICAL CENTER,1921 STONECIPHER BLVD,ADA,OK,74820,PONTOTOC,(580) 436-3980,Acute Care Hospitals,Voluntary non-profit - Other
+80314,SIERRA NEVADA MEMORIAL HOSPITAL,155 GLASSON WAY,GRASS VALLEY,CA,95945,NEVADA,(530) 274-6000,Acute Care Hospitals,Voluntary non-profit - Other
+84153,GRANDVIEW MEDICAL CENTER,3690 GRANDVIEW PARKWAY,BIRMINGHAM,AL,35243,JEFFERSON,(205) 971-1000,Acute Care Hospitals,Proprietary
+12318,"HOSPITAL PAVIA HATO REY, INC",AVE PONCE DE LEON 435,HATO REY,PR,919,SAN JUAN,(787) 754-0909,Acute Care Hospitals,Voluntary non-profit - Private
+45335,BAYSTATE WING HOSPITAL AND MEDICAL CENTERS,40 WRIGHT STREET,PALMER,MA,1069,HAMPDEN,(413) 283-7651,Acute Care Hospitals,Voluntary non-profit - Other
+89855,LEHIGH VALLEY HOSPITAL,1200 SOUTH CEDAR CREST BOULEVARD,ALLENTOWN,PA,18105,LEHIGH,(610) 402-2273,Acute Care Hospitals,Voluntary non-profit - Private
+83281,CHAPMAN GLOBAL MEDICAL CENTER,2601 E CHAPMAN AVE,ORANGE,CA,92869,ORANGE,(714) 633-0011,Acute Care Hospitals,Proprietary
+22668,PARK PLACE SURGICAL HOSPITAL,4811 AMBASSADOR CAFFERY PARKWAY,LAFAYETTE,LA,70508,LAFAYETTE,(337) 237-8119,Acute Care Hospitals,Physician
+45272,TRIDENT MEDICAL CENTER,9330 MEDICAL PLAZA DR,CHARLESTON,SC,29406,CHARLESTON,(843) 847-4100,Acute Care Hospitals,Proprietary
+54016,HOSPITAL PAVIA SANTURCE,CALLE PROFESOR AUGUSTO RODRIGUEZ #1462,FERNANDEZ JUNCOS,PR,910,SAN JUAN,(787) 641-1616,Acute Care Hospitals,Voluntary non-profit - Private
+11446,STURGIS HOSPITAL,916 MYRTLE AVE,STURGIS,MI,49091,ST. JOSEPH,(269) 651-7824,Acute Care Hospitals,Government - Local
+54078,CRAWFORD COUNTY MEMORIAL HOSPITAL,100 MEDICAL PARKWAY,DENISON,IA,51442,CRAWFORD,(712) 265-2500,Critical Access Hospitals,Voluntary non-profit - Other
+25896,UC SAN DIEGO HEALTH HILLCREST - HILLCREST MED CTR,200 WEST ARBOR DRIVE,SAN DIEGO,CA,92103,SAN DIEGO,(619) 543-6222,Acute Care Hospitals,Voluntary non-profit - Other
+44796,ASPIRUS WAUSAU HOSPITAL,333 PINE RIDGE BLVD,WAUSAU,WI,54401,MARATHON,(715) 847-2121,Acute Care Hospitals,Proprietary
+14426,"LAKELAND HOSPITAL, ST JOSEPH",1234 NAPIER AVENUE,ST JOSEPH,MI,49085,BERRIEN,(269) 983-8300,Acute Care Hospitals,Voluntary non-profit - Private
+22022,SHORE MEDICAL CENTER,100 MEDICAL CENTER WAY,SOMERS POINT,NJ,8244,ATLANTIC,(609) 653-3545,Acute Care Hospitals,Voluntary non-profit - Private
+82452,CASTLEVIEW HOSPITAL,300 NORTH HOSPITAL DRIVE,PRICE,UT,84501,CARBON,(435) 637-4800,Acute Care Hospitals,Proprietary
+85900,GENOA COMMUNITY HOSPITAL,"P O BOX 310, 706 EWING AVE",GENOA,NE,68640,PLATTE,(402) 993-2283,Critical Access Hospitals,Government - Local
+69960,COULEE MEDICAL CENTER,411 FORTUYN ROAD,GRAND COULEE,WA,99133,GRANT,(509) 633-1753,Critical Access Hospitals,Government - Hospital District or Authority
+51720,COMANCHE COUNTY MEMORIAL HOSPITAL,3401 WEST GORE BLVD,LAWTON,OK,73505,COMANCHE,(580) 355-8620,Acute Care Hospitals,Government - Hospital District or Authority
+33910,BLESSING HOSPITAL,BROADWAY ST & N 11TH ST,QUINCY,IL,62305,ADAMS,(217) 223-1200,Acute Care Hospitals,Voluntary non-profit - Private
+36728,DICKINSON COUNTY MEMORIAL HOSPITAL,1721 S STEPHENSON AVE,IRON MOUNTAIN,MI,49801,DICKINSON,(906) 774-1313,Acute Care Hospitals,Government - Local
+40342,COMMUNITY FIRST MEDICAL CENTER,5645 W ADDISON STREET,CHICAGO,IL,60634,COOK,(773) 282-7000,Acute Care Hospitals,Voluntary non-profit - Private
+89930,SALT LAKE BEHAVIORAL HEALTH,3802 SOUTH 700 EAST,SALT LAKE CITY,UT,84106,SALT LAKE,(801) 264-6035,Psychiatric,Proprietary
+92735,CENTRASTATE MEDICAL CENTER,901 WEST MAIN STREET,FREEHOLD,NJ,7728,MONMOUTH,(732) 431-2000,Acute Care Hospitals,Voluntary non-profit - Private
+85908,NORTH RUNNELS HOSPITAL,7821 EAST HIGHWAY 153,WINTERS,TX,79567,RUNNELS,(325) 754-4553,Critical Access Hospitals,Government - Hospital District or Authority
+62027,NORTHWESTERN MEDICINE MCHENRY HOSPITAL,4201 MEDICAL CENTER DRIVE,MCHENRY,IL,60050,MC HENRY,(815) 344-5000,Acute Care Hospitals,Voluntary non-profit - Other
+73358,BUCYRUS COMMUNITY HOSPITAL,629 NORTH SANDUSKY AVENUE,BUCYRUS,OH,44820,CRAWFORD,(419) 562-4677,Critical Access Hospitals,Voluntary non-profit - Other
+49131,HOSPITAL METROPOLITANO DR TITO MATTEI,ROAD 128 KM 1.0,YAUCO,PR,698,YAUCO,(787) 856-1000,Acute Care Hospitals,Proprietary
+39632,SURPRISE VALLEY COMMUNITY HOSPITAL,741 NORTH MAIN STREET,CEDARVILLE,CA,96104,MODOC,(530) 279-6111,Critical Access Hospitals,Government - Local
+51200,SAINT MARY'S HOSPITAL,56 FRANKLIN STEET,WATERBURY,CT,6706,NEW HAVEN,(203) 709-6020,Acute Care Hospitals,Voluntary non-profit - Church
+27554,BLUFFTON HOSPITAL,139 GARAU STREET,BLUFFTON,OH,45817,ALLEN,(419) 358-9010,Critical Access Hospitals,Voluntary non-profit - Private
+74488,ASSURANCE HEALTH CINCINNATI LLC,11690 GROOMS ROAD,CINCINNATI,OH,45242,HAMILTON,(513) 519-4947,Psychiatric,Proprietary
+21332,HOSPITAL HERMANOS MELENDEZ INC,CARRETERA #2 KM 11 7,BAYAMON,PR,960,BAYAMON,(787) 620-8181,Acute Care Hospitals,Proprietary
+42068,BANNER DESERT MEDICAL CENTER,1400 SOUTH  DOBSON ROAD,MESA,AZ,85202,MARICOPA,(480) 412-3000,Acute Care Hospitals,Voluntary non-profit - Private
+18978,FOUR WINDS OF SARATOGA,30 CRESCENT AVE,SARATOGA SPRINGS,NY,12866,SARATOGA,(518) 584-3600,Psychiatric,Proprietary
+33713,PROGRESS WEST HOSPITAL,2 PROGRESS POINT PKWY,O FALLON,MO,63368,ST. CHARLES,(636) 344-1000,Acute Care Hospitals,Voluntary non-profit - Private
+39254,BUTLER HOSPITAL,345 BLACKSTONE BLVD,PROVIDENCE,RI,2906,PROVIDENCE,(401) 455-6270,Psychiatric,Voluntary non-profit - Private
+69057,KERSHAWHEALTH,1315 ROBERTS STREET,CAMDEN,SC,29020,KERSHAW,(803) 432-4311,Acute Care Hospitals,Proprietary
+78189,SAMARITAN MEDICAL CENTER,830 WASHINGTON STREET,WATERTOWN,NY,13601,JEFFERSON,(315) 785-4121,Acute Care Hospitals,Voluntary non-profit - Private
+59672,PROVIDENCE HOSPITAL OF NORTH HOUSTON LLC,16750 RED OAK DRIVE,HOUSTON,TX,77090,HARRIS,(281) 453-7916,Acute Care Hospitals,Proprietary
+40837,THE HEART HOSPITAL BAYLOR PLANO,1100 ALLIED DRIVE,PLANO,TX,75093,COLLIN,(469) 814-3278,Acute Care Hospitals,Proprietary
+45834,NORTH SUBURBAN MEDICAL CENTER,9191 GRANT ST,THORNTON,CO,80229,ADAMS,(303) 451-7800,Acute Care Hospitals,Voluntary non-profit - Private
+23607,MADISON REGIONAL HEALTH SYSTEM,323 SW 10TH ST,MADISON,SD,57042,LAKE,(605) 256-6551,Critical Access Hospitals,Voluntary non-profit - Private
+51023,ADENA PIKE MEDICAL CENTER,100 DAWN LANE,WAVERLY,OH,45690,PIKE,(740) 947-2186,Critical Access Hospitals,Voluntary non-profit - Private
+50079,KING'S DAUGHTERS' MEDICAL CENTER,2201 LEXINGTON AVENUE,ASHLAND,KY,41101,BOYD,(606) 408-4401,Acute Care Hospitals,Voluntary non-profit - Private
+80548,PRAIRIE LAKES HOSPITAL,401 9TH AVENUE NW  POST OFFICE BOX 1210,WATERTOWN,SD,57201,CODINGTON,(605) 882-7000,Acute Care Hospitals,Voluntary non-profit - Private
+46296,SAINT VINCENT MEDICAL CENTER,2131 W 3RD ST,LOS ANGELES,CA,90057,LOS ANGELES,(213) 484-7111,Acute Care Hospitals,Voluntary non-profit - Church
+10588,ST LUKES REGIONAL MEDICAL CENTER,2720 STONE PARK BOULEVARD,SIOUX CITY,IA,51104,WOODBURY,(712) 279-3500,Acute Care Hospitals,Voluntary non-profit - Private
+93206,CROSBYTON CLINIC HOSPITAL,710 WEST MAIN STREET,CROSBYTON,TX,79322,CROSBY,(806) 675-2382,Critical Access Hospitals,Voluntary non-profit - Private
+87257,GORDON MEMORIAL HOSPITAL DISTRICT,300 EAST 8TH ST,GORDON,NE,69343,SHERIDAN,(308) 282-0401,Critical Access Hospitals,Government - Hospital District or Authority
+81864,EXETER HOSPITAL INC,5 ALUMNI DRIVE,EXETER,NH,3833,ROCKINGHAM,(603) 778-7311,Acute Care Hospitals,Voluntary non-profit - Private
+49366,MOAB REGIONAL HOSPITAL,450 WEST WILLIAMS WAY,MOAB,UT,84532,GRAND,(435) 719-3500,Critical Access Hospitals,Voluntary non-profit - Private
+59898,SUMNER COMMUNITY HOSPITAL,1323 NORTH A STREET,WELLINGTON,KS,67152,SUMNER,(620) 326-7451,Acute Care Hospitals,Government - Local
+30713,CHRISTUS SPOHN HOSPITAL CORPUS CHRISTI,600 ELIZABETH STREET,CORPUS CHRISTI,TX,78404,NUECES,(361) 902-4103,Acute Care Hospitals,Voluntary non-profit - Private
+18918,ADVENTHEALTH GORDON,1035 RED BUD ROAD,CALHOUN,GA,30701,GORDON,(706) 629-2895,Acute Care Hospitals,Voluntary non-profit - Church
+16195,WELLSTAR ATLANTA MEDICAL CENTER,"303 PARKWAY DRIVE, NE",ATLANTA,GA,30312,FULTON,(404) 265-4000,Acute Care Hospitals,Proprietary
+68978,CAROLINAS HEALTHCARE SYSTEM NORTHEAST,920 CHURCH ST N,CONCORD,NC,28025,CABARRUS,(704) 783-3000,Acute Care Hospitals,Government - Hospital District or Authority
+21281,UPPER VALLEY MEDICAL CENTER,3130 NORTH COUNTY ROAD 25A,TROY,OH,45373,MIAMI,(937) 440-7853,Acute Care Hospitals,Voluntary non-profit - Private
+82805,ST DAVID'S SOUTH AUSTIN MEDICAL CENTER,901 WEST BEN WHITE BLVD,AUSTIN,TX,78704,TRAVIS,(512) 448-7107,Acute Care Hospitals,Proprietary
+65605,ROANE GENERAL HOSPITAL,200 HOSPITAL DRIVE,SPENCER,WV,25276,ROANE,(304) 927-4444,Critical Access Hospitals,Voluntary non-profit - Private
+84895,CASCADE MEDICAL CENTER,402 LAKE CASCADE PARKWAY,CASCADE,ID,83611,VALLEY,(208) 382-4242,Critical Access Hospitals,Government - Hospital District or Authority
+72630,WINN PARISH MEDICAL CENTER,301 W BOUNDARY AVE,WINNFIELD,LA,71483,WINN,(318) 648-3000,Acute Care Hospitals,Proprietary
+14583,BELOIT MEMORIAL HOSPITAL,1969 W HART RD,BELOIT,WI,53511,ROCK,(608) 364-5011,Acute Care Hospitals,Voluntary non-profit - Private
+59529,FHN MEMORIAL HOSPITAL,1045 WEST STEPHENSON STREET,FREEPORT,IL,61032,STEPHENSON,(815) 599-6000,Acute Care Hospitals,Voluntary non-profit - Private
+28068,OCEANS BEHAVIORAL HOSPITAL OF LONGVIEW,615 CLINIC DR,LONGVIEW,TX,75605,GREGG,(903) 212-3105,Psychiatric,Proprietary
+44980,LEA REGIONAL MEDICAL CENTER,5419 N LOVINGTON HIGHWAY,HOBBS,NM,88240,LEA,(575) 492-5000,Acute Care Hospitals,Proprietary
+27385,D W MCMILLAN MEMORIAL HOSPITAL,1301 BELLEVILLE AVENUE,BREWTON,AL,36426,ESCAMBIA,(251) 867-8061,Acute Care Hospitals,Government - Hospital District or Authority
+49671,UNIVERSITY MEDICAL CENTER-MESABI/ MESABA CLINICS,750 EAST 34TH ST,HIBBING,MN,55746,ST. LOUIS,(218) 362-6730,Acute Care Hospitals,Voluntary non-profit - Other
+68222,HEDRICK MEDICAL CENTER,2799 NORTH WASHINGTON STREET,CHILLICOTHE,MO,64601,LIVINGSTON,(660) 646-1480,Critical Access Hospitals,Voluntary non-profit - Private
+93261,RIPON MEDICAL CENTER,845 PARKSIDE ST,RIPON,WI,54971,FOND DU LAC,(920) 748-3101,Critical Access Hospitals,Voluntary non-profit - Private
+71777,PARKLAND HEALTH CENTER - BONNE TERRE,7245 RAIDER ROAD,BONNE TERRE,MO,63628,ST. FRANCOIS,(573) 358-1400,Critical Access Hospitals,Voluntary non-profit - Private
+76211,COLUMBUS COMMUNITY HOSPITAL,1515 PARK AVE,COLUMBUS,WI,53925,COLUMBIA,(920) 623-2200,Critical Access Hospitals,Voluntary non-profit - Private
+90586,LIFEBRITE COMMUNITY HOSPITAL OF STOKES,1570 NC 8 & 89 HWY NORTH,DANBURY,NC,27016,STOKES,(336) 593-2831,Critical Access Hospitals,Proprietary
+44212,"JANE PHILLIPS NOWATA HOSPITAL, INC",237 SOUTH LOCUST STREET,NOWATA,OK,74048,NOWATA,(918) 273-3102,Critical Access Hospitals,Voluntary non-profit - Private
+65170,"ASPIRE BEHAVIORAL HEALTH OF CONROE, LLC","2006 SOUTH LOOP 336 WEST, SUITE 500",CONROE,TX,77304,MONTGOMERY,(936) 647-3500,Acute Care Hospitals,Physician
+76419,UNITY MEDICAL CENTER,164 W 13TH STREET,GRAFTON,ND,58237,WALSH,(701) 352-1620,Critical Access Hospitals,Voluntary non-profit - Private
+43748,GOOD SAMARITAN HOSPITAL,2425 SAMARITAN DRIVE,SAN JOSE,CA,95124,SANTA CLARA,(408) 559-2011,Acute Care Hospitals,Proprietary
+41169,DEQUINCY MEMORIAL HOSPITAL,110 WEST 4TH STREET,DEQUINCY,LA,70633,CALCASIEU,(337) 786-1200,Critical Access Hospitals,Proprietary
+40720,PIEDMONT HOSPITAL,1968 PEACHTREE RD NW,ATLANTA,GA,30309,FULTON,(404) 605-5000,Acute Care Hospitals,Voluntary non-profit - Private
+88733,HILLCREST MEDICAL CENTER,1120 SOUTH UTICA AVENUE,TULSA,OK,74104,TULSA,(918) 579-1000,Acute Care Hospitals,Proprietary
+51587,KAISER FOUNDATION HOSPITAL-SANTA CLARA,700 LAWRENCE EXPRESSWAY,SANTA CLARA,CA,95051,SANTA CLARA,(408) 236-6400,Acute Care Hospitals,Voluntary non-profit - Private
+94761,DANVILLE STATE HOSPITAL,50 KIRKBRIDE DRIVE,DANVILLE,PA,17821,MONTOUR,(570) 271-4500,Psychiatric,Government - State
+43499,NORTH KANSAS CITY HOSPITAL,2800 CLAY EDWARDS DRIVE,NORTH KANSAS CITY,MO,64116,CLAY,(816) 691-2000,Acute Care Hospitals,Government - Local
+10892,PROVIDENCE ST VINCENT MEDICAL CENTER,9205 SW BARNES ROAD,PORTLAND,OR,97225,WASHINGTON,(503) 216-2213,Acute Care Hospitals,Voluntary non-profit - Private
+50004,GRITMAN MEDICAL CENTER,700 SOUTH MAIN STREET,MOSCOW,ID,83843,LATAH,(208) 882-4511,Critical Access Hospitals,Voluntary non-profit - Private
+22519,PENINSULA REGIONAL MEDICAL CENTER,100 EAST CARROLL AVENUE,SALISBURY,MD,21801,WICOMICO,(410) 543-7111,Acute Care Hospitals,Voluntary non-profit - Private
+76969,DOCTORS HOSPITAL LLC,4901 COLLEGE BLVD,LEAWOOD,KS,66211,JOHNSON,(913) 529-1801,Acute Care Hospitals,Proprietary
+30127,GRADY MEMORIAL HOSPITAL,"80 JESSE HILL, JR DRIVE SE",ATLANTA,GA,30303,FULTON,(404) 616-4252,Acute Care Hospitals,Voluntary non-profit - Private
+12709,ST MARYS REGIONAL MEDICAL CENTER,1808 WEST MAIN STREET,RUSSELLVILLE,AR,72801,POPE,(479) 968-2841,Acute Care Hospitals,Proprietary
+30640,DUBLIN METHODIST HOSPITAL,7500 HOSPITAL AVENUE,DUBLIN,OH,43016,FRANKLIN,(614) 544-8000,Acute Care Hospitals,Voluntary non-profit - Private
+77000,UH CLEVELAND MEDICAL CENTER,11100 EUCLID AVENUE,CLEVELAND,OH,44106,CUYAHOGA,(216) 844-1000,Acute Care Hospitals,Voluntary non-profit - Private
+63292,ESSENTIA HEALTH ST JOSEPH'S MEDICAL CENTER,523 NORTH 3RD STREET,BRAINERD,MN,56401,CROW WING,(218) 829-2861,Acute Care Hospitals,Voluntary non-profit - Private
+39890,BRATTLEBORO RETREAT,ANNA MARSH LANE PO BOX 803,BRATTLEBORO,VT,5301,WINDHAM,(802) 257-7785,Psychiatric,Voluntary non-profit - Private
+17329,UNIVERSITY OF KENTUCKY HOSPITAL,800 ROSE STREET,LEXINGTON,KY,40536,FAYETTE,(859) 257-2278,Acute Care Hospitals,Government - State
+63728,MAYO CLINIC,4500 SAN PABLO RD,JACKSONVILLE,FL,32224,DUVAL,(904) 953-2000,Acute Care Hospitals,Voluntary non-profit - Private
+43248,CHILDREN'S HOSPITALS & CLINICS OF MN,2525 CHICAGO AVENUE SOUTH,MINNEAPOLIS,MN,55404,HENNEPIN,(612) 813-6112,Childrens,Voluntary non-profit - Private
+15301,BALLINGER MEMORIAL HOSPITAL,608 AVENUE B,BALLINGER,TX,76821,RUNNELS,(325) 365-2531,Critical Access Hospitals,Government - Hospital District or Authority
+50116,HARRISON COMMUNITY HOSPITAL,951 EAST MARKET STREET,CADIZ,OH,43907,HARRISON,(740) 942-4631,Critical Access Hospitals,Voluntary non-profit - Private
+56477,"CONNECTICUT HOSPICE INC,THE",100 DOUBLE BEACH ROAD,BRANFORD,CT,6405,NEW HAVEN,(203) 315-7500,Acute Care Hospitals,Voluntary non-profit - Private
+75378,SANTA CRUZ VALLEY REGIONAL HOSPITAL,4455 SOUTH I-19 FRONTAGE ROAD,GREEN VALLEY,AZ,85614,PIMA,(520) 393-4700,Acute Care Hospitals,Proprietary
+11126,SAMARITAN BEHAVIORAL CENTER,"5555 CONNER AVENUE, SUITE 3N",DETROIT,MI,48213,WAYNE,(313) 344-7730,Psychiatric,Voluntary non-profit - Private
+46086,PERSON MEMORIAL HOSPITAL,615 RIDGE RD,ROXBORO,NC,27573,PERSON,(336) 599-2121,Acute Care Hospitals,Proprietary
+47643,COTEAU DES PRAIRIES HEALTH CARE SYSTEM,205 ORCHARD DR,SISSETON,SD,57262,ROBERTS,(605) 698-7647,Critical Access Hospitals,Voluntary non-profit - Private
+69323,SUMMIT BEHAVIORAL HEALTHCARE,1101 SUMMIT ROAD,CINCINNATI,OH,45237,HAMILTON,(513) 948-3600,Psychiatric,Government - State
+77169,MCKEE MEDICAL CENTER,2000 BOISE AVE,LOVELAND,CO,80538,LARIMER,(970) 669-4640,Acute Care Hospitals,Voluntary non-profit - Private
+77644,THEDACARE REGIONAL MEDICAL CENTER - APPLETON INC,1818 N MEADE ST,APPLETON,WI,54911,OUTAGAMIE,(920) 731-4101,Acute Care Hospitals,Voluntary non-profit - Private
+30458,"SCHUYLER HOSPITAL, INC",220 STEUBEN STREET,MONTOUR FALLS,NY,14865,SCHUYLER,(607) 530-7121,Critical Access Hospitals,Voluntary non-profit - Private
+75838,GREYSTONE PARK PSYCH HOSP,59 KOCH AVENUE,GREYSTONE PARK,NJ,7950,MORRIS,(973) 538-1800,Psychiatric,Government - State
+88095,CLARK MEMORIAL HEALTH,1220 MISSOURI AVE,JEFFERSONVILLE,IN,47130,CLARK,(812) 283-2147,Acute Care Hospitals,Voluntary non-profit - Other
+91454,FAIRVIEW RIDGES HOSPITAL,201 EAST NICOLLET BOULEVARD,BURNSVILLE,MN,55337,DAKOTA,(952) 892-2101,Acute Care Hospitals,Voluntary non-profit - Church
+60289,GULF COAST MEDICAL CENTER LEE MEM HEALTH SYSTEM,13681 DOCTORS WAY,FORT MYERS,FL,33912,LEE,(239) 768-5000,Acute Care Hospitals,Government - Hospital District or Authority
+94852,LITTLE FALLS HOSPITAL,140 BURWELL STREET,LITTLE FALLS,NY,13365,HERKIMER,(315) 823-5261,Critical Access Hospitals,Voluntary non-profit - Private
+16304,BELLEVUE HOSPITAL,1400 WEST MAIN STREET,BELLEVUE,OH,44811,SANDUSKY,(419) 483-4040,Acute Care Hospitals,Voluntary non-profit - Other
+70467,BAUM HARMON MERCY HOSPITAL,255 N WELCH AVENUE,PRIMGHAR,IA,51245,OBRIEN,(712) 957-2300,Critical Access Hospitals,Voluntary non-profit - Church
+20496,VIRGINIA HOSPITAL CENTER,1701 NORTH GEORGE MASON DRIVE,ARLINGTON,VA,22205,ARLINGTON,(703) 558-5000,Acute Care Hospitals,Voluntary non-profit - Private
+74239,UNC LENOIR HEALTH CARE,100 AIRPORT RD,KINSTON,NC,28501,LENOIR,(252) 522-7000,Acute Care Hospitals,Voluntary non-profit - Private
+80302,SANFORD HOSPITAL WEBSTER - CAH,1401 W FIRST ST POST OFFICE BOX 489,WEBSTER,SD,57274,DAY,(605) 345-3336,Critical Access Hospitals,Voluntary non-profit - Private
+30445,EASTERN IDAHO REGIONAL MEDICAL CENTER,3100 CHANNING WAY,IDAHO FALLS,ID,83404,BONNEVILLE,(208) 529-6210,Acute Care Hospitals,Proprietary
+22210,ALLIANCE HEALTHCARE SYSTEM,1430 HIGHWAY 4 EAST / P O BOX 6000,HOLLY SPRINGS,MS,38635,MARSHALL,(662) 252-1212,Acute Care Hospitals,Physician
+60969,DOROTHEA DIX PSYCHIATRIC CENTER,656 STATE STREET,BANGOR,ME,4401,PENOBSCOT,(207) 941-4000,Psychiatric,Government - Local
+84925,MCALESTER REGIONAL HEALTH CENTER,ONE CLARK BASS BOULEVARD,MCALESTER,OK,74501,PITTSBURG,(918) 426-1800,Acute Care Hospitals,Voluntary non-profit - Other
+68428,MIDMICHIGAN MEDICAL CENTER-MIDLAND,4000 WELLNESS DRIVE,MIDLAND,MI,48670,MIDLAND,(989) 839-3000,Acute Care Hospitals,Voluntary non-profit - Other
+35502,MCLAREN CENTRAL MICHIGAN,1221 SOUTH DRIVE,MOUNT PLEASANT,MI,48858,ISABELLA,(989) 772-6700,Acute Care Hospitals,Voluntary non-profit - Private
+36712,BAYLOR SCOTT & WHITE MEDICAL CENTER HILLCREST,100 HILLCREST MEDICAL BLVD,WACO,TX,76712,MC LENNAN,(254) 202-2000,Acute Care Hospitals,Voluntary non-profit - Private
+69202,METHODIST MEDICAL CENTER OF ILLINOIS,221 N E GLEN OAK AVE,PEORIA,IL,61636,PEORIA,(309) 672-5522,Acute Care Hospitals,Voluntary non-profit - Private
+58527,SHARP MEMORIAL HOSPITAL,7901 FROST ST,SAN DIEGO,CA,92123,SAN DIEGO,(858) 939-3400,Acute Care Hospitals,Voluntary non-profit - Private
+34696,ST PETER'S HOSPITAL,315 SOUTH MANNING BOULEVARD,ALBANY,NY,12208,ALBANY,(518) 525-1550,Acute Care Hospitals,Voluntary non-profit - Private
+72513,VAN BUREN COUNTY HOSPITAL,304 FRANKLIN STREET,KEOSAUQUA,IA,52565,VAN BUREN,(319) 293-3171,Critical Access Hospitals,Government - Local
+51336,POMERADO HOSPITAL,15615 POMERADO ROAD,POWAY,CA,92064,SAN DIEGO,(858) 485-6511,Acute Care Hospitals,Government - Hospital District or Authority
+79278,CHILDREN'S HOSPITAL OF ALABAMA,1600 SEVENTH AVENUE SOUTH,BIRMINGHAM,AL,35233,JEFFERSON,(205) 939-9100,Childrens,Voluntary non-profit - Private
+92308,WAYNE HOSPITAL,835 SWEITZER STREET,GREENVILLE,OH,45331,DARKE,(937) 548-1141,Acute Care Hospitals,Voluntary non-profit - Private
+82669,BANNER DEL E. WEBB MEDICAL CENTER,14502 WEST MEEKER BOULEVARD,SUN CITY WEST,AZ,85375,MARICOPA,(623) 524-4000,Acute Care Hospitals,Voluntary non-profit - Private
+71344,DEPT OF STATE HOSPITALS - METROPOLITAN - PSY,11401 S NORWALK BLVD,NORWALK,CA,90650,LOS ANGELES,(562) 863-7011,Psychiatric,Government - State
+36788,KITTSON MEMORIAL HOSPITAL,1010 SOUTH BIRCH,HALLOCK,MN,56728,KITTSON,(218) 843-3612,Critical Access Hospitals,Voluntary non-profit - Private
+51973,ARKANSAS VALLEY REGIONAL MEDICAL CENTER,1100 CARSON AVENUE,LA JUNTA,CO,81050,OTERO,(719) 383-6000,Critical Access Hospitals,Voluntary non-profit - Private
+24390,MEMORIAL HOSPITAL WEST,703 N FLAMINGO RD,PEMBROKE PINES,FL,33028,BROWARD,(954) 436-5000,Acute Care Hospitals,Government - Hospital District or Authority
+76935,ADVENTIST HEALTH TEHACHAPI VALLEY,1100 MAGELLAN,TEHACHAPI,CA,93561,KERN,(661) 823-3000,Critical Access Hospitals,Government - Hospital District or Authority
+86158,MAUI MEMORIAL MEDICAL CENTER,221 MAHALANI STREET,WAILUKU,HI,96793,MAUI,(808) 442-5101,Acute Care Hospitals,Government - State
+89007,ASCENSION ST JOHN HOSPITAL,22101 MOROSS RD,DETROIT,MI,48236,WAYNE,(313) 343-4000,Acute Care Hospitals,Voluntary non-profit - Church
+21142,HAMILTON GENERAL HOSPITAL,"400 N BROWN, BUILDING 1",HAMILTON,TX,76531,HAMILTON,(254) 386-3151,Critical Access Hospitals,Government - Hospital District or Authority
+56376,METRO HEALTH HOSPITAL,"5900 BYRON CENTER AVENUE, SW",WYOMING,MI,49519,KENT,(616) 252-7200,Acute Care Hospitals,Voluntary non-profit - Private
+22983,MERCY HEALTH MUSKEGON,1700 CLINTON STREET,MUSKEGON,MI,49442,MUSKEGON,(231) 726-3511,Acute Care Hospitals,Voluntary non-profit - Private
+41519,CHRISTUS ST VINCENT REGIONAL MEDICAL CENTER,455 ST MICHAEL'S DRIVE,SANTA FE,NM,87505,SANTA FE,(505) 913-5201,Acute Care Hospitals,Voluntary non-profit - Private
+93492,SANFORD CANBY MEDICAL CENTER,112 ST OLAF AVENUE SOUTH,CANBY,MN,56220,YELLOW MEDCINE,(507) 223-7277,Critical Access Hospitals,Government - Hospital District or Authority
+14207,MCKAY DEE HOSPITAL,4401 HARRISON BOULEVARD,OGDEN,UT,84403,WEBER,(801) 387-2800,Acute Care Hospitals,Voluntary non-profit - Private
+56413,PAGE HOSPITAL,501 NORTH NAVAJO DRIVE,PAGE,AZ,86040,COCONINO,(928) 645-2424,Critical Access Hospitals,Government - Hospital District or Authority
+48060,MOLOKAI GENERAL HOSPITAL,280 HOME OLU PLACE,KAUNAKAKAI,HI,96748,MAUI,(808) 553-5331,Critical Access Hospitals,Voluntary non-profit - Private
+12016,PARKLAND HEALTH CENTER,1101 W LIBERTY,FARMINGTON,MO,63640,ST. FRANCOIS,(573) 431-6005,Acute Care Hospitals,Voluntary non-profit - Private
+72213,SOUTHERN MAINE HEALTH CARE,1 MEDICAL CENTER DRIVE,BIDDEFORD,ME,4005,YORK,(207) 283-7000,Acute Care Hospitals,Voluntary non-profit - Private
+44653,LOGAN REGIONAL MEDICAL CENTER,20 HOSPITAL DRIVE,LOGAN,WV,25601,LOGAN,(304) 831-1101,Acute Care Hospitals,Proprietary
+82952,ATRIUM HEALTH CLEVELAND,201 E GROVER ST,SHELBY,NC,28150,CLEVELAND,(704) 487-3000,Acute Care Hospitals,Government - Hospital District or Authority
+34904,REGIONAL ONE HEALTH,877 JEFFERSON AVENUE,MEMPHIS,TN,38103,SHELBY,(901) 545-7928,Acute Care Hospitals,Government - Hospital District or Authority
+92453,BAPTIST MEDICAL CENTER - BEACHES,1350 13TH AVE S,JACKSONVILLE BEACH,FL,32250,DUVAL,(904) 247-2900,Acute Care Hospitals,Voluntary non-profit - Private
+21452,ADVENTIST HEALTH FEATHER RIVER,5974 PENTZ ROAD,PARADISE,CA,95969,BUTTE,(530) 877-9361,Acute Care Hospitals,Voluntary non-profit - Church
+42199,TEXAS COUNTY MEMORIAL HOSPITAL,1333 SAM HOUSTON BOULEVARD,HOUSTON,MO,65483,TEXAS,(417) 967-3311,Acute Care Hospitals,Voluntary non-profit - Other
+15697,BIG BEND REGIONAL MEDICAL CENTER,2600 HIGHWAY 118 NORTH,ALPINE,TX,79830,BREWSTER,(432) 837-3447,Critical Access Hospitals,Proprietary
+91056,HOWARD YOUNG MEDICAL CTR,240 MAPLE ST,WOODRUFF,WI,54568,VILAS,(715) 356-8000,Acute Care Hospitals,Voluntary non-profit - Church
+54605,STOUGHTON HOSPITAL,900 RIDGE ST,STOUGHTON,WI,53589,DANE,(608) 873-6611,Critical Access Hospitals,Voluntary non-profit - Private
+49046,BON SECOURS ST FRANCIS MEDICAL CENTER,13710 ST FRANCIS BOULEVARD,MIDLOTHIAN,VA,23114,CHESTERFIELD,(804) 594-7400,Acute Care Hospitals,Voluntary non-profit - Church
+69760,VALLEY VIEW MEDICAL CENTER,5330 SOUTH HIGHWAY 95,FORT MOHAVE,AZ,86426,MOHAVE,(928) 788-2273,Acute Care Hospitals,Proprietary
+57798,MEDSTAR WASHINGTON HOSPITAL CENTER,110 IRVING ST NW,WASHINGTON,DC,20010,THE DISTRICT,(202) 877-7000,Acute Care Hospitals,Voluntary non-profit - Other
+91720,CORDOVA COMMUNITY MEDICAL CENTER,PO BOX 160 - 602 CHASE AVENUE,CORDOVA,AK,99574,VALDEZ-CORDOVA,(907) 424-8000,Critical Access Hospitals,Government - Local
+13354,PHS INDIAN HOSPITAL AT EAGLE BUTTE,24276 166TH AIRPORT ROAD,EAGLE BUTTE,SD,57625,DEWEY,(605) 964-3005,Acute Care Hospitals,Government - Federal
+88224,"AURORA BEHAVIORAL HEALTHCARE-SANTA ROSA, LLC",1287 FULTON ROAD,SANTA ROSA,CA,95401,SONOMA,(707) 800-7700,Psychiatric,Proprietary
+93524,LEHIGH VALLEY HOSPITAL - POCONO,206 EAST BROWN STREET,EAST STROUDSBURG,PA,18301,MONROE,(570) 421-4000,Acute Care Hospitals,Voluntary non-profit - Private
+78980,PAULDING COUNTY HOSPITAL,1035 WEST WAYNE ST.,PAULDING,OH,45879,PAULDING,(419) 399-1103,Critical Access Hospitals,Government - Local
+78761,COMMUNITY MEMORIAL HOSPITAL,512 SKYLINE BOULEVARD,CLOQUET,MN,55720,CARLTON,(218) 879-4641,Critical Access Hospitals,Voluntary non-profit - Private
+15219,WILLIAM NEWTON HOSPITAL,1300 EAST FIFTH AVENUE,WINFIELD,KS,67156,COWLEY,(620) 221-2300,Critical Access Hospitals,Government - Local
+86305,FRANKLIN HOSPITAL,201 BAILEY LANE,BENTON,IL,62812,FRANKLIN,(618) 439-3161,Critical Access Hospitals,Government - Hospital District or Authority
+41098,UT HEALTH EAST TEXAS ATHENS HOSPITAL,2000 SOUTH PALESTINE ST,ATHENS,TX,75751,HENDERSON,(903) 676-1000,Acute Care Hospitals,Voluntary non-profit - Private
+36765,ADVOCATE TRINITY HOSPITAL,2320 E 93RD ST,CHICAGO,IL,60617,COOK,(773) 967-5002,Acute Care Hospitals,Voluntary non-profit - Other
+63693,MAHNOMEN HEALTH CENTER,414 W JEFFERSON PO BOX 396,MAHNOMEN,MN,56557,MAHNOMEN,(218) 935-2511,Critical Access Hospitals,Government - Local
+74443,BROOKDALE HOSPITAL MEDICAL CENTER,1 BROOKDALE PLAZA,BROOKLYN,NY,11212,KINGS,(718) 240-5966,Acute Care Hospitals,Voluntary non-profit - Private
+14346,WASHINGTON REGIONAL MEDICAL CENTER,3215 N NORTH HILLS BOULEVARD,FAYETTEVILLE,AR,72703,WASHINGTON,(479) 463-5113,Acute Care Hospitals,Voluntary non-profit - Private
+71721,TRISTAR ASHLAND CITY MEDICAL CENTER,313 NORTH MAIN ST,ASHLAND CITY,TN,37015,CHEATHAM,(615) 792-3030,Critical Access Hospitals,Proprietary
+82035,MERITUS MEDICAL CENTER,11116 MEDICAL CAMPUS ROAD,HAGERSTOWN,MD,21742,WASHINGTON,(240) 313-9500,Acute Care Hospitals,Voluntary non-profit - Private
+41699,"NEW YORK COMMUNITY HOSPITAL OF BROOKLYN, INC.",2525 KINGS HIGHWAY,BROOKLYN,NY,11229,KINGS,(718) 692-5302,Acute Care Hospitals,Voluntary non-profit - Private
+59749,ADCARE HOSPITAL OF WORCESTER INC,107 LINCOLN STREET,WORCESTER,MA,1605,WORCESTER,(508) 799-9000,Acute Care Hospitals,Proprietary
+88272,MEMORIAL HOSPITAL OF TEXAS COUNTY AUTHORITY,520 MEDICAL DRIVE,GUYMON,OK,73942,TEXAS,(580) 338-6515,Critical Access Hospitals,Government - Hospital District or Authority
+53670,COMMUNITY CARE HOSPITAL,1421 GENERAL TAYLOR,NEW ORLEANS,LA,70115,ORLEANS,(504) 899-2500,Psychiatric,Proprietary
+89060,BAPTIST HEALTH MEDICAL CENTER HEBER SPINGS,1800 BYPASS ROAD,HEBER SPRINGS,AR,72543,CLEBURNE,(501) 887-3000,Critical Access Hospitals,Voluntary non-profit - Private
+50435,CLAXTON-HEPBURN MEDICAL CENTER,214 KING STREET,OGDENSBURG,NY,13669,ST. LAWRENCE,(315) 393-3600,Acute Care Hospitals,Voluntary non-profit - Private
+38974,BAYSTATE FRANKLIN MEDICAL CENTER,164 HIGH STREET,GREENFIELD,MA,1301,FRANKLIN,(413) 773-0211,Acute Care Hospitals,Voluntary non-profit - Private
+77951,MACKINAC STRAITS HOSPITAL AND HEALTH CENTER,1140 N STATE STREET,SAINT IGNACE,MI,49781,MACKINAC,(906) 643-8585,Critical Access Hospitals,Voluntary non-profit - Private
+75803,ALLIANCE HEALTH CENTER,5000 HIGHWAY 39 NORTH,MERIDIAN,MS,39301,LAUDERDALE,(601) 483-6211,Acute Care Hospitals,Proprietary
+25603,SHERIDAN MEMORIAL HOSPITAL,1401 W 5TH ST,SHERIDAN,WY,82801,SHERIDAN,(307) 672-1044,Acute Care Hospitals,Government - Local
+56556,"OKLAHOMA HEART HOSPITAL, LLC",4050 WEST MEMORIAL ROAD,OKLAHOMA CITY,OK,73120,OKLAHOMA,(405) 608-3200,Acute Care Hospitals,Physician
+59283,CHILDREN'S HOSPITAL OF MICHIGAN,3901 BEAUBIEN STREET,DETROIT,MI,48201,WAYNE,(313) 745-5437,Childrens,Proprietary
+70380,HIGHLAND HOSPITAL,300 56TH ST SE,CHARLESTON,WV,25304,KANAWHA,(304) 926-1600,Psychiatric,Voluntary non-profit - Private
+80285,METHODIST HOSPITAL,1305 N ELM ST,HENDERSON,KY,42420,HENDERSON,(270) 827-7700,Acute Care Hospitals,Voluntary non-profit - Church
+53790,NORTH SHORE HEALTH,515 5TH AVE WEST,GRAND MARAIS,MN,55604,COOK,(218) 387-3040,Critical Access Hospitals,Government - Hospital District or Authority
+42409,MONTEVISTA HOSPITAL,5900 WEST ROCHELLE AVENUE,LAS VEGAS,NV,89103,CLARK,(702) 364-1111,Psychiatric,Proprietary
+56862,BRIDGEPORT HOSPITAL,267 GRANT STREET,BRIDGEPORT,CT,6610,FAIRFIELD,(203) 384-3000,Acute Care Hospitals,Voluntary non-profit - Private
+17796,CAREPOINT HEALTH - BAYONNE MEDICAL CENTER,29 EAST 29TH ST,BAYONNE,NJ,7002,HUDSON,(201) 858-5000,Acute Care Hospitals,Voluntary non-profit - Private
+71001,NOXUBEE GENERAL CRITICAL ACCESS HOSP,78 HOSPITAL ROAD,MACON,MS,39341,NOXUBEE,(662) 726-4231,Critical Access Hospitals,Government - Local
+55382,LEGENT ORTHOPEDIC + SPINE,5330 NORTH LOOP 1604 WEST,SAN ANTONIO,TX,78249,BEXAR,(717) 620-2424,Acute Care Hospitals,Proprietary
+81476,FAIRVIEW HOSPITAL,18101 LORAIN AVENUE,CLEVELAND,OH,44111,CUYAHOGA,(216) 476-7000,Acute Care Hospitals,Voluntary non-profit - Private
+29381,FOREST VIEW PSYCHIATRIC HOSPITAL,1055 MEDICAL PARK SE,GRAND RAPIDS,MI,49546,KENT,(616) 942-9610,Psychiatric,Proprietary
+50406,TENNOVA HEALTHCARE-JEFFERSON MEMORIAL HOSPITAL,110 HOSPITAL DRIVE,JEFFERSON CITY,TN,37760,JEFFERSON,(865) 471-2500,Acute Care Hospitals,Proprietary
+76529,EVANS MEMORIAL HOSPITAL,200 N RIVER STREET,CLAXTON,GA,30417,EVANS,(912) 739-5105,Acute Care Hospitals,Government - Hospital District or Authority
+48374,LUBBOCK HEART HOSPITAL LP,4810 NORTH LOOP 289,LUBBOCK,TX,79416,LUBBOCK,(806) 687-7777,Acute Care Hospitals,Proprietary
+65122,ST VINCENT DUNN HOSPITAL INC,1600 23RD ST,BEDFORD,IN,47421,LAWRENCE,(812) 276-1065,Critical Access Hospitals,Voluntary non-profit - Private
+53952,STEVENS COUNTY HOSPITAL,1006 S JACKSON,HUGOTON,KS,67951,STEVENS,(620) 544-8511,Critical Access Hospitals,Government - Local
+29706,SHANDS STARKE REGIONAL MEDICAL CENTER,922 E CALL ST,STARKE,FL,32091,BRADFORD,(904) 368-2300,Critical Access Hospitals,Proprietary
+49560,DESERT REGIONAL MEDICAL CENTER,1150 NORTH INDIAN CANYON DRIVE,PALM SPRINGS,CA,92262,RIVERSIDE,(760) 323-6511,Acute Care Hospitals,Proprietary
+13511,SUBURBAN COMMUNITY HOSPITAL,2701 DEKALB PIKE,NORRISTOWN,PA,19401,MONTGOMERY,(215) 278-2000,Acute Care Hospitals,Voluntary non-profit - Private
+21935,MISSOURI BAPTIST SULLIVAN HOSPITAL,751 SAPPINGTON BRIDGE RD,SULLIVAN,MO,63080,FRANKLIN,(573) 468-4186,Critical Access Hospitals,Voluntary non-profit - Private
+22247,INTERFAITH MEDICAL CENTER,1545 ATLANTIC AVENUE,BROOKLYN,NY,11213,KINGS,(718) 613-4000,Acute Care Hospitals,Voluntary non-profit - Private
+71515,"TEN LAKES CENTER, LLC","819 NORTH FIRST STREET, 3RD FLOOR",DENNISON,OH,44621,TUSCARAWAS,(740) 922-7499,Psychiatric,Voluntary non-profit - Private
+77589,WASHINGTON COUNTY HOSPITAL,14600 ST. STEPHENS AVENUE,CHATOM,AL,36518,WASHINGTON,(251) 847-2223,Critical Access Hospitals,Government - Hospital District or Authority
+84394,IU HEALTH WEST HOSPITAL,1111 N RONALD REAGAN PKWY,AVON,IN,46123,HENDRICKS,(317) 217-3000,Acute Care Hospitals,Proprietary
+55141,SAN JUAN HOSPITAL,380 WEST 100 NORTH,MONTICELLO,UT,84535,SAN JUAN,(435) 587-2116,Critical Access Hospitals,Government - Local
+44135,MOUNT CARMEL ST ANN'S,500 SOUTH CLEVELAND AVENUE,WESTERVILLE,OH,43081,FRANKLIN,(614) 898-4000,Acute Care Hospitals,Voluntary non-profit - Private
+76310,PRAGUE COMMUNITY HOSPITAL,1322 KLABZUBA AVENUE,PRAGUE,OK,74864,LINCOLN,(405) 567-4922,Critical Access Hospitals,Voluntary non-profit - Other
+74165,MERRICK MEDICAL CENTER,1715  26TH ST,CENTRAL CITY,NE,68826,MERRICK,(308) 946-3015,Critical Access Hospitals,Government - Local
+31712,NOVANT HEALTH MATTHEWS MEDICAL CENTER,1500 MATTHEWS TWNSHP PRKWY BOX 3310,MATTHEWS,NC,28106,MECKLENBURG,(704) 384-6500,Acute Care Hospitals,Voluntary non-profit - Other
+45414,MEMORIAL SATILLA HEALTH,1900 TEBEAU STREET,WAYCROSS,GA,31501,WARE,(912) 287-2500,Acute Care Hospitals,Voluntary non-profit - Private
+78244,RIO GRANDE HOSPITAL,310 COUNTY RD 14,DEL NORTE,CO,81132,RIO GRANDE,(719) 657-2510,Critical Access Hospitals,Voluntary non-profit - Private
+54244,WYTHE COUNTY COMMUNITY HOSPITAL,600 WEST RIDGE ROAD,WYTHEVILLE,VA,24382,WYTHE,(276) 228-0200,Acute Care Hospitals,Voluntary non-profit - Church
+26625,WARD MEMORIAL HOSPITAL,406 SOUTH GARY ST,MONAHANS,TX,79756,WARD,(432) 943-2511,Critical Access Hospitals,Government - Local
+42530,SARAH BUSH LINCOLN HEALTH CENTER,1000 HEALTH CENTER DRIVE P O BOX 372,MATTOON,IL,61938,COLES,(217) 258-2572,Acute Care Hospitals,Voluntary non-profit - Private
+89737,METHODIST HOSPITAL FOR SURGERY,17101 DALLAS PARKWAY,ADDISON,TX,75001,DALLAS,(469) 248-3900,Acute Care Hospitals,Proprietary
+86820,"ST JAMES BEHAVIORAL HEALTH HOSPITAL, INC",3136 SOUTH ST LANDRY ROAD,GONZALES,LA,70737,ASCENSION,(225) 647-7524,Psychiatric,Voluntary non-profit - Private
+59014,NATHAN LITTAUER HOSPITAL,99 EAST STATE STREET,GLOVERSVILLE,NY,12078,FULTON,(518) 725-8621,Acute Care Hospitals,Voluntary non-profit - Private
+75180,KAISER FOUNDATION HOSPITAL - LOS ANGELES,4867 SUNSET BLVD,LOS ANGELES,CA,90027,LOS ANGELES,(323) 783-4011,Acute Care Hospitals,Voluntary non-profit - Other
+33409,UMASS MEMORIAL MEDICAL CENTER INC,55 LAKE AVENUE NORTH,WORCESTER,MA,1655,WORCESTER,(508) 334-1000,Acute Care Hospitals,Voluntary non-profit - Private
+30633,NORTHEASTERN CENTER,1850 WESLEY RD,AUBURN,IN,46706,DE KALB,(260) 927-0726,Psychiatric,Voluntary non-profit - Private
+27575,FLORIDA STATE HOSPITAL UNIT 31 MED,100 N MAIN ST,CHATTAHOOCHEE,FL,32324,GADSDEN,(850) 663-7536,Acute Care Hospitals,Government - State
+48333,O U MEDICINE,700 NE 13TH STREET,OKLAHOMA CITY,OK,73104,OKLAHOMA,(405) 271-5911,Acute Care Hospitals,Voluntary non-profit - Private
+15978,VIERA HOSPITAL,8745 N WICKHAM RD,MELBOURNE,FL,32940,BREVARD,(321) 434-9000,Acute Care Hospitals,Voluntary non-profit - Private
+14863,TARAVISTA BEHAVIORAL HEALTH CENTER,85 PATTON ROAD,DEVENS,MA,1434,WORCESTER,(978) 615-5200,Psychiatric,Proprietary
+88777,CASEY COUNTY HOSPITAL,187 WOLFORD AVENUE,LIBERTY,KY,42539,CASEY,(606) 787-6275,Critical Access Hospitals,Government - Hospital District or Authority
+25987,NASHOBA VALLEY MEDICAL CENTER,200 GROTON ROAD,AYER,MA,1432,MIDDLESEX,(978) 784-9000,Acute Care Hospitals,Proprietary
+31136,FAYETTE REGIONAL HEALTH SYSTEM,1941 VIRGINIA AVE,CONNERSVILLE,IN,47331,FAYETTE,(765) 825-5131,Acute Care Hospitals,Proprietary
+82184,NEURO BEHAVIORAL HOSPITAL,9330 BROADWAY,CROWN POINT,IN,46307,LAKE,(574) 277-2630,Psychiatric,Proprietary
+20840,SPECTRUM HEALTH UNITED HOSPITAL,615 S BOWER STREET,GREENVILLE,MI,48838,MONTCALM,(616) 754-4691,Acute Care Hospitals,Voluntary non-profit - Other
+49818,NORTHWEST MEDICAL CENTER-SPRINGDALE,609 WEST MAPLE AVENUE,SPRINGDALE,AR,72764,WASHINGTON,(479) 751-5711,Acute Care Hospitals,Proprietary
+51490,"PHYSICIANS CENTRE,THE",3131 UNIVERSITY DRIVE EAST,BRYAN,TX,77802,BRAZOS,(979) 731-3100,Acute Care Hospitals,Proprietary
+53903,LOVELACE MEDICAL CENTER,601 DR MARTIN LUTHER KING JR AVE NE,ALBUQUERQUE,NM,87102,BERNALILLO,(505) 727-8000,Acute Care Hospitals,Voluntary non-profit - Private
+23278,TIOGA MEDICAL CENTER,810 N WELO ST,TIOGA,ND,58852,WILLIAMS,(701) 664-3305,Critical Access Hospitals,Voluntary non-profit - Private
+76217,INDIANA UNIVERSITY HEALTH BLACKFORD HOSPITAL,410 PILGRIM BLVD,HARTFORD CITY,IN,47348,BLACKFORD,(765) 348-0300,Critical Access Hospitals,Voluntary non-profit - Private
+78925,DOCTORS HOSPITAL OF MANTECA,1205 E NORTH STREET,MANTECA,CA,95336,SAN JOAQUIN,(209) 823-3111,Acute Care Hospitals,Voluntary non-profit - Other
+80230,SALINAS VALLEY MEMORIAL HOSPITAL,450 EAST ROMIE LANE,SALINAS,CA,93901,MONTEREY,(831) 757-4333,Acute Care Hospitals,Voluntary non-profit - Other
+88464,RUSSELLVILLE HOSPITAL,15155 HIGHWAY 43,RUSSELLVILLE,AL,35653,FRANKLIN,(256) 332-1611,Acute Care Hospitals,Proprietary
+39005,GREATER EL MONTE COMMUNITY HOSPITAL,1701 SANTA ANITA AVE,SOUTH EL MONTE,CA,91733,LOS ANGELES,(626) 350-7975,Acute Care Hospitals,Voluntary non-profit - Private
+24026,SHELBY BAPTIST MEDICAL CENTER,1000 FIRST STREET NORTH,ALABASTER,AL,35007,SHELBY,(205) 620-8100,Acute Care Hospitals,Voluntary non-profit - Private
+93047,VIA CHRISTI HOSPITAL PITTSBURG INC,1 MT CARMEL WAY,PITTSBURG,KS,66762,CRAWFORD,(620) 231-6100,Acute Care Hospitals,Voluntary non-profit - Private
+74324,WEST VIRGINIA UNIVERSITY HOSPITALS,MEDICAL CENTER DRIVE,MORGANTOWN,WV,26506,MONONGALIA,(304) 598-4000,Acute Care Hospitals,Voluntary non-profit - Private
+66962,ASHLEY REGIONAL MEDICAL CENTER,150 WEST 100 NORTH,VERNAL,UT,84078,UINTAH,(435) 789-3342,Acute Care Hospitals,Proprietary
+23286,MERCY HOSPITAL JOPLIN,100 MERCY WAY,JOPLIN,MO,64804,JASPER,(417) 781-2727,Acute Care Hospitals,Voluntary non-profit - Church
+74916,CUMBERLAND MEMORIAL HOSPITAL,1110 7TH AVENUE,CUMBERLAND,WI,54829,BARRON,(715) 822-7500,Critical Access Hospitals,Voluntary non-profit - Other
+32512,ROGER WILLIAMS MEDICAL CENTER,825 CHALKSTONE AVENUE,PROVIDENCE,RI,2908,PROVIDENCE,(401) 456-2025,Acute Care Hospitals,Proprietary
+89130,CHI MEMORIAL HOSPITAL- GEORGIA,100 GROSS CRESCENT CIRCLE,FORT OGLETHORPE,GA,30742,CATOOSA,(770) 874-5400,Acute Care Hospitals,Proprietary
+73836,BAPTIST HEALTH MEDICAL CENTER-STUTTGART,1703 NORTH BUERKLE ST,STUTTGART,AR,72160,ARKANSAS,(870) 673-3511,Acute Care Hospitals,Voluntary non-profit - Private
+67760,TEXAS HEALTH HARRIS METHODIST HOSPITAL SOUTHWEST F,6100 HARRIS PKWY,FORT WORTH,TX,76132,TARRANT,(817) 433-5000,Acute Care Hospitals,Voluntary non-profit - Private
+85272,NORTHERN LIGHT HEALTH,144 STATE STREET,PORTLAND,ME,4101,CUMBERLAND,(207) 879-3000,Acute Care Hospitals,Voluntary non-profit - Church
+83307,BROADWATER HEALTH CENTER,110 N OAK ST,TOWNSEND,MT,59644,BROADWATER,(406) 266-3186,Critical Access Hospitals,Voluntary non-profit - Private
+56372,"PINNACLE REGIONAL HOSPITAL, INC",12850 METCALF AVENUE,OVERLAND PARK,KS,66213,JOHNSON,(913) 220-2866,Acute Care Hospitals,Proprietary
+68642,BOYS TOWN NATIONAL RESEARCH HOSPITAL,555 NORTH 30TH ST,OMAHA,NE,68131,DOUGLAS,(531) 355-6510,Childrens,Voluntary non-profit - Private
+18031,GREAT PLAINS REGIONAL MEDICAL CENTER,1801 WEST 3RD STREET,ELK CITY,OK,73644,BECKHAM,(580) 225-2511,Acute Care Hospitals,Voluntary non-profit - Private
+19451,COLORADO CANYONS HOSPITAL AND MEDICAL CENTER,300 W OTTLEY AVE,FRUITA,CO,81521,MESA,(970) 858-9871,Critical Access Hospitals,Voluntary non-profit - Private
+78223,UNIVERSITY OF WASHINGTON MEDICAL CTR,1959 NE PACIFIC ST  BOX 356151,SEATTLE,WA,98195,KING,(206) 598-3300,Acute Care Hospitals,Government - State
+38140,SANTA CLARA VALLEY MEDICAL CENTER,751 SOUTH BASCOM AVENUE,SAN JOSE,CA,95128,SANTA CLARA,(408) 885-5000,Acute Care Hospitals,Government - Local
+18741,LINCOLN REGIONAL CENTER,PO BOX 94949 FOLSOM AND PROSPECTOR,LINCOLN,NE,68509,LANCASTER,(402) 471-4444,Psychiatric,Government - State
+59167,SPRINGBROOK BEHAVIORAL HEALTH SYSTEM,ONE HAVENWOOD LANE  PO BOX 1005,TRAVELERS REST,SC,29690,GREENVILLE,(864) 834-8013,Psychiatric,Proprietary
+45885,JOHN F KENNEDY MEMORIAL HOSPITAL,47111 MONROE STREET,INDIO,CA,92201,RIVERSIDE,(760) 347-6191,Acute Care Hospitals,Proprietary
+38120,ARISE AUSTIN MEDICAL CENTER,3003 BEE CAVES ROAD,AUSTIN,TX,78746,TRAVIS,(512) 347-9888,Acute Care Hospitals,Voluntary non-profit - Other
+63417,ROCHESTER GENERAL HOSPITAL,1425 PORTLAND AVENUE,ROCHESTER,NY,14621,MONROE,(585) 922-4000,Acute Care Hospitals,Voluntary non-profit - Private
+37201,JEFFERSON COUNTY HOSPITAL,870 S MAIN,FAYETTE,MS,39069,JEFFERSON,(601) 786-3401,Acute Care Hospitals,Government - Local
+73697,HOLY CROSS HOSPITAL,4725 N FEDERAL HWY,FORT LAUDERDALE,FL,33308,BROWARD,(954) 771-8000,Acute Care Hospitals,Voluntary non-profit - Church
+51457,SOUTH BALDWIN REGIONAL MEDICAL CENTER,1613 NORTH MCKENZIE STREET,FOLEY,AL,36535,BALDWIN,(251) 949-3400,Acute Care Hospitals,Proprietary
+92182,GATEWAYS HOSP  MENTAL HEALTH CTR,1891 EFFIE ST,LOS ANGELES,CA,90026,LOS ANGELES,(213) 666-0171,Psychiatric,Proprietary
+85363,MEADOWS PSYCHIATRIC CENTER,132 MEADOWS DRIVE,CENTRE HALL,PA,16828,CENTRE,(814) 364-2161,Psychiatric,Proprietary
+81827,CORAL SHORES BEHAVIORAL HEALTH,5995 SE COMMUNITY DRIVE,STUART,FL,34997,MARTIN,(727) 424-3427,Psychiatric,Voluntary non-profit - Other
+90837,HOSPITAL DISTRICT #1 OF RICE COUNTY,619 SOUTH CLARK AVENUE,LYONS,KS,67554,RICE,(620) 257-5173,Critical Access Hospitals,Government - Hospital District or Authority
+16886,BOONE MEMORIAL HOSPITAL,701 MADISON AVENUE,MADISON,WV,25130,BOONE,(304) 369-1230,Critical Access Hospitals,Government - Local
+85024,PROVIDENCE SAINT JOHN'S HEALTH CENTER,2121 SANTA MONICA BLVD,SANTA MONICA,CA,90404,LOS ANGELES,(310) 829-5511,Acute Care Hospitals,Voluntary non-profit - Private
+83133,SPARTANBURG MEDICAL CENTER,101 E WOOD ST,SPARTANBURG,SC,29303,SPARTANBURG,(864) 560-6554,Acute Care Hospitals,Government - Hospital District or Authority
+92144,BRYAN MEDICAL CENTER,1600 SOUTH 48TH ST,LINCOLN,NE,68506,LANCASTER,(402) 481-1111,Acute Care Hospitals,Voluntary non-profit - Private
+27373,SHAMROCK GENERAL HOSPITAL,1000 SOUTH MAIN STREET,SHAMROCK,TX,79079,WHEELER,(806) 256-2114,Critical Access Hospitals,Government - Hospital District or Authority
+83586,P H S INDIAN HOSPITAL AT BROWNING - BLACKFEET,"760 HOSPITAL CIRCLE, POST OFFICE BOX 760",BROWNING,MT,59417,GLACIER,(406) 338-6157,Acute Care Hospitals,Government - Federal
+76701,MCLEOD MEDICAL CENTER - DARLINGTON,701 CASHUA FERRY ROAD,DARLINGTON,SC,29540,DARLINGTON,(843) 777-1100,Acute Care Hospitals,Voluntary non-profit - Private
+30276,CHI ST ALEXIUS HEALTH DEVILS LAKE,1031 7TH ST NE,DEVILS LAKE,ND,58301,RAMSEY,(701) 662-2131,Critical Access Hospitals,Voluntary non-profit - Private
+30500,MINERS' COLFAX MEDICAL CENTER,203 HOSPITAL DRIVE,RATON,NM,87740,COLFAX,(575) 445-3661,Critical Access Hospitals,Government - State
+34329,MAT-SU REGIONAL MEDICAL CENTER,2500 SOUTH WOODWORTH LOOP,PALMER,AK,99645,MATANUSKA-SUSITNA,(907) 861-6000,Acute Care Hospitals,Voluntary non-profit - Other
+12458,KERN VALLEY HEALTHCARE DISTRICT,6412 LAUREL AVE,LAKE ISABELLA,CA,93240,KERN,(760) 379-2681,Critical Access Hospitals,Government - Hospital District or Authority
+85815,ST ROSE HOSPITAL,27200 CALAROGA AVE,HAYWARD,CA,94545,ALAMEDA,(510) 782-6200,Acute Care Hospitals,Voluntary non-profit - Church
+47955,SPRINGBROOK HOSPITAL,7007 GROVE RD,BROOKSVILLE,FL,34609,HERNANDO,(352) 596-4306,Psychiatric,Voluntary non-profit - Private
+77205,NORTHSIDE HOSPITAL,"1000 JOHNSON FERRY ROAD, NE",ATLANTA,GA,30342,FULTON,(404) 851-8000,Acute Care Hospitals,Voluntary non-profit - Private
+60871,TRISTAR HORIZON MEDICAL CENTER,111 HIGHWAY 70 EAST,DICKSON,TN,37055,DICKSON,(615) 446-0446,Acute Care Hospitals,Proprietary
+58889,PAUL OLIVER MEMORIAL HOSPITAL,224 PARK AVENUE,FRANKFORT,MI,49635,BENZIE,(231) 352-2200,Critical Access Hospitals,Government - Local
+36485,LAWRENCE MEMORIAL HOSPITAL,1309 WEST MAIN STREET,WALNUT RIDGE,AR,72476,LAWRENCE,(870) 886-1200,Critical Access Hospitals,Government - Local
+10250,BOLIVAR GENERAL HOSPITAL,650 NUCKOLLS ROAD,BOLIVAR,TN,38008,HARDEMAN,(731) 658-3100,Critical Access Hospitals,Government - Hospital District or Authority
+80544,CLARINDA REGIONAL HEALTH CENTER,220 ESSIE DAVISON DRIVE,CLARINDA,IA,51632,PAGE,(712) 542-2176,Critical Access Hospitals,Voluntary non-profit - Other
+73263,STONY BROOK EASTERN LONG ISLAND HOSPITAL,201 MANOR PLACE,GREENPORT,NY,11944,SUFFOLK,(631) 477-1000,Acute Care Hospitals,Voluntary non-profit - Private
+94569,MONMOUTH MEDICAL CENTER,300 SECOND AVENUE,LONG BRANCH,NJ,7740,MONMOUTH,(732) 222-5200,Acute Care Hospitals,Voluntary non-profit - Private
+41543,MORRILL COUNTY COMMUNITY HOSPITAL,1313 S STREET,BRIDGEPORT,NE,69336,MORRILL,(308) 262-1616,Critical Access Hospitals,Government - Local
+35254,DOCTORS HOSPITAL,5100 WEST  BROAD STREET,COLUMBUS,OH,43228,FRANKLIN,(614) 544-1000,Acute Care Hospitals,Voluntary non-profit - Church
+57907,WINDHAVEN PSYCHIATRIC HOSPITAL,3347 NORTH WINDSONG DRIVE,PRESCOTT VALLEY,AZ,86314,YAVAPAI,(928) 899-7343,Psychiatric,Voluntary non-profit - Private
+82426,HUGH CHATHAM MEMORIAL HOSPITAL,180 PARKWOOD DR,ELKIN,NC,28621,SURRY,(336) 527-7000,Acute Care Hospitals,Voluntary non-profit - Private
+87793,ROCK SPRINGS,700 SOUTHEAST INNER LOOP,GEORGETOWN,TX,78626,WILLIAMSON,(512) 819-9400,Psychiatric,Proprietary
+43779,DECATUR COUNTY MEMORIAL HOSPITAL,720 N LINCOLN ST,GREENSBURG,IN,47240,DECATUR,(812) 663-4331,Critical Access Hospitals,Government - Local
+92782,SONOMA SPECIALTY HOSPITAL,501 PETALUMA AVENUE,SEBASTOPOL,CA,95472,SONOMA,(707) 823-8511,Acute Care Hospitals,Government - Local
+71509,LINCOLN SURGICAL HOSPITAL,1710 SOUTH 70TH ST,LINCOLN,NE,68506,LANCASTER,(402) 484-9090,Acute Care Hospitals,Proprietary
+22200,TRINITY ROCK ISLAND,2701 17TH ST,ROCK ISLAND,IL,61201,ROCK ISLAND,(309) 779-5000,Acute Care Hospitals,Voluntary non-profit - Other
+59378,GLEN ROSE MEDICAL CENTER,1021 HOLDEN STREET,GLEN ROSE,TX,76043,SOMERVELL,(254) 897-2215,Acute Care Hospitals,Government - Hospital District or Authority
+64933,ANN & ROBERT H LURIE CHILDRENS HOSPITAL OF CHICAGO,"225 E CHICAGO AVE, BOX 140",CHICAGO,IL,60611,COOK,(312) 227-4000,Childrens,Voluntary non-profit - Private
+73117,HOLY CROSS GERMANTOWN HOSPITAL,19801 OBSERVATION DRIVE,GERMANTOWN,MD,20876,MONTGOMERY,(301) 557-6020,Acute Care Hospitals,Voluntary non-profit - Private
+54770,HAMLIN MEMORIAL HOSPITAL,632 N W SECOND STREET,HAMLIN,TX,79520,JONES,(325) 576-3646,Acute Care Hospitals,Government - Hospital District or Authority
+49939,MAYAGUEZ MEDICAL CENTER DR RAMON EMETERIO BETANCES,CARR 2 BO SABALOS,MAYAGUEZ,PR,682,MAYAGUEZ,(787) 652-9200,Acute Care Hospitals,Proprietary
+40352,OCHSNER LSU HEALTH MONROE,4864 JACKSON STREET,MONROE,LA,71202,OUACHITA,(318) 330-7000,Acute Care Hospitals,Proprietary
+94889,NIOBRARA HEALTH & LIFE CENTER,921 SOUTH BALLANCEE AVENUE,LUSK,WY,82225,NIOBRARA,(307) 334-4000,Critical Access Hospitals,Government - Hospital District or Authority
+85045,NEWARK-WAYNE COMMUNITY HOSPITAL,111 DRIVING PARK AVENUE,NEWARK,NY,14513,WAYNE,(315) 332-2022,Acute Care Hospitals,Voluntary non-profit - Private
+76741,ST BERNARD HOSPITAL,326 W 64TH ST,CHICAGO,IL,60621,COOK,(773) 962-3900,Acute Care Hospitals,Voluntary non-profit - Private
+41986,JAY HOSPITAL,14114 ALABAMA ST,JAY,FL,32565,SANTA ROSA,(850) 675-4532,Acute Care Hospitals,Voluntary non-profit - Private
+61939,JACKSON PARISH HOSPITAL,165 BEECH SPRINGS ROAD,JONESBORO,LA,71251,JACKSON,(318) 259-4435,Critical Access Hospitals,Government - Hospital District or Authority
+65758,BEHAVIORAL HEALTHCARE CENTER AT COLUMBIA,1400 ROSEWOOD DRIVE,COLUMBIA,TN,38401,MAURY,(931) 388-6573,Psychiatric,Proprietary
+61251,CANDLER COUNTY HOSPITAL,400 CEDAR STREET,METTER,GA,30439,CANDLER,(912) 685-5741,Critical Access Hospitals,Government - Hospital District or Authority
+77618,STEWARD ROCKLEDGE HOSPITAL,110 LONGWOOD AVE,ROCKLEDGE,FL,32955,BREVARD,(321) 637-2603,Acute Care Hospitals,Proprietary
+70374,STRATEGIC BEHAVORIAL CENTER-GARNER,3200 WATERFIELD DRIVE,GARNER,NC,27529,WAKE,(919) 800-4400,Psychiatric,Proprietary
+12554,JACKSON COUNTY REGIONAL HEALTH CENTER,700 W GROVE ST,MAQUOKETA,IA,52060,JACKSON,(563) 652-2474,Critical Access Hospitals,Government - Local
+35951,CALVERTHEALTH MEDICAL CENTER,100 HOSPITAL ROAD,PRINCE FREDERICK,MD,20678,CALVERT,(410) 535-8240,Acute Care Hospitals,Voluntary non-profit - Other
+33216,GLEN COVE HOSPITAL,101 ST ANDREWS LANE,GLEN COVE,NY,11542,NASSAU,(516) 674-7300,Acute Care Hospitals,Voluntary non-profit - Private
+53899,SUTTER COAST HOSPITAL,800 E WASHINGTON BLVD,CRESCENT CITY,CA,95531,DEL NORTE,(707) 464-8880,Acute Care Hospitals,Government - Hospital District or Authority
+56462,BARRETT HOSPITAL & HEALTHCARE,600 MT HWY 91 S,DILLON,MT,59725,BEAVERHEAD,(406) 683-3000,Critical Access Hospitals,Government - Hospital District or Authority
+35175,CHASE COUNTY COMMUNITY HOSPITAL,"P O BOX 819, 600 W 12TH ST",IMPERIAL,NE,69033,CHASE,(308) 882-7111,Critical Access Hospitals,Government - Local
+21691,UT HEALTH EAST TEXAS PITTSBURG HOSPITAL,2701 US HWY 271 N,PITTSBURG,TX,75686,CAMP,(903) 856-4520,Critical Access Hospitals,Voluntary non-profit - Other
+81278,UNION MEDICAL CENTER,322 WEST SOUTH STREET,UNION,SC,29379,UNION,(864) 301-2000,Acute Care Hospitals,Voluntary non-profit - Other
+55772,BURLESON ST JOSEPH HEALTH CENTER,1101 WOODSON DRIVE,CALDWELL,TX,77836,BURLESON,(979) 567-3245,Critical Access Hospitals,Voluntary non-profit - Church
+26349,ASCENSION ST MARYS HOSPITAL,2251 NORTH SHORE DR,RHINELANDER,WI,54501,ONEIDA,(715) 361-2000,Acute Care Hospitals,Voluntary non-profit - Private
+30800,SOUTHWEST CONNECTICUT MENTAL HEALTH,1635 CENTRAL AVE,BRIDGEPORT,CT,6610,FAIRFIELD,(203) 551-7461,Psychiatric,Government - State
+93248,UMD BALTIMORE WASHINGTON  MEDICAL CENTER,301 HOSPITAL DRIVE,GLEN BURNIE,MD,21061,ANNE ARUNDEL,(410) 595-1967,Acute Care Hospitals,Voluntary non-profit - Other
+75208,60th Medical Group (Travis AFB),103 Bodin Circle Fairfield,Fairfield,CA,94533,SOLANO,(707) 423-7300,Acute Care - Department of Defense,Department of Defense
+61408,CITIZENS MEDICAL CENTER,2701 HOSPITAL DRIVE,VICTORIA,TX,77901,VICTORIA,(361) 573-9181,Acute Care Hospitals,Voluntary non-profit - Other
+62491,FORT DUNCAN MEDICAL CENTER,3333 N FOSTER MALDONADO BLVD,EAGLE PASS,TX,78852,MAVERICK,(830) 773-5321,Acute Care Hospitals,Proprietary
+32495,TRI-STATE MEMORIAL HOSPITAL,1221 HIGHLAND AVENUE,CLARKSTON,WA,99403,ASOTIN,(509) 758-5511,Critical Access Hospitals,Voluntary non-profit - Private
+41097,FLAGET MEMORIAL HOSPITAL,4305 NEW SHEPHERDSVILLE ROAD,BARDSTOWN,KY,40004,NELSON,(502) 350-5000,Acute Care Hospitals,Voluntary non-profit - Private
+89754,PARKVIEW REGIONAL MEDICAL CENTER,11109 PARKVIEW PLAZA DRIVE,FORT WAYNE,IN,46845,ALLEN,(260) 266-1000,Acute Care Hospitals,Voluntary non-profit - Private
+26043,BLACK RIVER MEMORIAL HOSPITAL,711 W ADAMS ST,BLACK RIVER FALLS,WI,54615,JACKSON,(715) 284-5361,Critical Access Hospitals,Voluntary non-profit - Private
+77961,W W HASTINGS INDIAN HOSPITAL,100 S BLISS AVENUE,TAHLEQUAH,OK,74464,CHEROKEE,(918) 458-3100,Acute Care Hospitals,Voluntary non-profit - Other
+61198,EDEN MEDICAL CENTER,20103 LAKE CHABOT ROAD,CASTRO VALLEY,CA,94546,ALAMEDA,(510) 537-1234,Acute Care Hospitals,Voluntary non-profit - Other
+52305,SABINE MEDICAL CENTER,240 HIGHLAND DRIVE,MANY,LA,71449,SABINE,(318) 256-1232,Acute Care Hospitals,Proprietary
+47101,MOUNTAINVIEW MEDICAL CENTER,16 W MAIN ST,WHITE SULPHUR SPRING,MT,59645,MEAGHER,(406) 547-3321,Critical Access Hospitals,Voluntary non-profit - Private
+46438,UNION GENERAL HOSPITAL,35 HOSPITAL ROAD,BLAIRSVILLE,GA,30512,UNION,(706) 745-2111,Acute Care Hospitals,Government - Hospital District or Authority
+69922,MONROE REGIONAL HOSPITAL,400 SOUTH CHESTNUT STREET,ABERDEEN,MS,39730,MONROE,(662) 369-2455,Critical Access Hospitals,Voluntary non-profit - Private
+49174,DOCTORS HOSPITAL OF LAREDO,10700 MCPHERSON ROAD,LAREDO,TX,78041,WEBB,(956) 523-2000,Acute Care Hospitals,Proprietary
+15748,MODOC MEDICAL CENTER,228 W MCDOWELL AVE,ALTURAS,CA,96101,MODOC,(530) 233-5131,Critical Access Hospitals,Government - Hospital District or Authority
+49957,COMMUNITY HOSPITAL ASSOCIATION,"26136 US HIGHWAY 59, PO BOX 107",FAIRFAX,MO,64446,ATCHISON,(660) 686-2211,Critical Access Hospitals,Voluntary non-profit - Private
+75142,PROWERS MEDICAL CENTER,401 KENDALL DR,LAMAR,CO,81052,PROWERS,(719) 336-4343,Critical Access Hospitals,Government - Hospital District or Authority
+63800,PRESENCE MERCY MEDICAL CENTER,1325 N HIGHLAND AVENUE,AURORA,IL,60506,KANE,(630) 859-2222,Acute Care Hospitals,Voluntary non-profit - Church
+90252,MEMORIAL HERMANN TEXAS MEDICAL CENTER,6411 FANNIN,HOUSTON,TX,77030,HARRIS,(713) 704-3700,Acute Care Hospitals,Voluntary non-profit - Private
+31442,BAYLOR SCOTT AND WHITE ALL SAINTS MEDICAL CENTER,1400 EIGHTH AVE,FORT WORTH,TX,76104,TARRANT,(817) 926-2544,Acute Care Hospitals,Voluntary non-profit - Private
+41905,BOLIVAR MEDICAL CENTER,901 E SUNFLOWER RD,CLEVELAND,MS,38732,BOLIVAR,(662) 846-0061,Acute Care Hospitals,Proprietary
+91924,GREENWOOD LEFLORE HOSPITAL,1401 RIVER RD,GREENWOOD,MS,38935,LEFLORE,(662) 459-7561,Acute Care Hospitals,Government - Local
+17154,PENN MEDICINE PRINCETON MEDICAL CENTER,ONE - FIVE PLAINSBORO ROAD,PLAINSBORO,NJ,8536,MIDDLESEX,(866) 460-4776,Acute Care Hospitals,Voluntary non-profit - Private
+79861,SONOMA VALLEY HOSPITAL,347 ANDRIEUX ST,SONOMA,CA,95476,SONOMA,(707) 935-5000,Acute Care Hospitals,Government - Hospital District or Authority
+88078,INOVA LOUDOUN HOSPITAL,44045 RIVERSIDE PARKWAY,LEESBURG,VA,20176,LOUDOUN,(703) 858-6600,Acute Care Hospitals,Voluntary non-profit - Private
+10043,SOCORRO GENERAL HOSPITAL,1202 HIGHWAY 60 WEST,SOCORRO,NM,87801,SOCORRO,(575) 835-1140,Critical Access Hospitals,Proprietary
+46994,MEASE DUNEDIN HOSPITAL,601 MAIN ST,DUNEDIN,FL,34698,PINELLAS,(727) 733-1111,Acute Care Hospitals,Voluntary non-profit - Private
+30694,VALLEY PRESBYTERIAN HOSPITAL,15107 VANOWEN ST,VAN NUYS,CA,91406,LOS ANGELES,(818) 782-6600,Acute Care Hospitals,Voluntary non-profit - Other
+19834,OCEAN MEDICAL CENTER,425 JACK MARTIN BLVD,BRICK,NJ,8724,OCEAN,(732) 840-2200,Acute Care Hospitals,Voluntary non-profit - Other
+49869,HOSP COMUNITARIO BUEN SAMARITANO,CARR.2 KM.1.4 AVE. SEVERIANO CUEVAS #18,AGUADILLA,PR,603,AGUADILLA,(787) 658-0000,Acute Care Hospitals,Voluntary non-profit - Other
+57660,GREENE COUNTY GENERAL HOSPITAL,1185 N 1000 W,LINTON,IN,47441,GREENE,(812) 847-2281,Critical Access Hospitals,Government - Local
+37200,UPMC PINNACLE HANOVER,300 HIGHLAND AVE,HANOVER,PA,17331,YORK,(717) 637-3711,Acute Care Hospitals,Voluntary non-profit - Private
+40592,KECK HOSPITAL OF USC,1500 SAN PABLO STREET,LOS ANGELES,CA,90033,LOS ANGELES,(323) 442-8656,Acute Care Hospitals,Voluntary non-profit - Other
+10242,STRAITH HOSPITAL FOR SPECIAL SURGERY,23901 LAHSER,SOUTHFIELD,MI,48033,OAKLAND,(248) 357-3360,Acute Care Hospitals,Voluntary non-profit - Private
+71859,NORTHERN LIGHT MAINE COAST HOSPITAL,50 UNION STREET,ELLSWORTH,ME,4605,HANCOCK,(207) 667-5311,Acute Care Hospitals,Voluntary non-profit - Other
+53901,KAISER FOUNDATION HOSPITAL - ORANGE COUNTY - ANAHE,3440 E LA PALMA AVE,ANAHEIM,CA,92806,ORANGE,(714) 279-4000,Acute Care Hospitals,Voluntary non-profit - Private
+14961,HENRY FORD WYANDOTTE HOSPITAL,2333 BIDDLE AVE,WYANDOTTE,MI,48192,WAYNE,(734) 246-6000,Acute Care Hospitals,Voluntary non-profit - Private
+24443,NATIONWIDE CHILDREN'S HOSPITAL,700 CHILDREN'S DRIVE,COLUMBUS,OH,43205,FRANKLIN,(614) 722-2000,Childrens,Voluntary non-profit - Private
+94984,MISSISSIPPI METHODIST REHAB CTR,1350 E WOODROW WILSON DR,JACKSON,MS,39216,HINDS,(601) 981-2611,Acute Care Hospitals,Voluntary non-profit - Private
+86660,PRIMARY CHILDRENS HOSPITAL,100 NORTH MARIO CAPECCHI DRIVE,SALT LAKE CITY,UT,84113,SALT LAKE,(801) 662-6212,Childrens,Voluntary non-profit - Private
+75808,"BAYHEALTH HOSPITAL, KENT CAMPUS",640 S STATE STREET,DOVER,DE,19901,KENT,(302) 744-7001,Acute Care Hospitals,Voluntary non-profit - Private
+75146,"BROADDUS HOSPITAL ASSOCIATION, INC",1 HEALTHCARE DRIVE MANSFIELD HILL,PHILIPPI,WV,26416,BARBOUR,(304) 457-1760,Critical Access Hospitals,Voluntary non-profit - Private
+84843,CENTRAL PENINSULA GENERAL HOSPITAL,250 HOSPITAL PLACE,SOLDOTNA,AK,99669,KENAI PENINSULA,(907) 262-4404,Acute Care Hospitals,Voluntary non-profit - Other
+86825,LONGVIEW REGIONAL MEDICAL CENTER,2901 N FOURTH ST,LONGVIEW,TX,75605,GREGG,(903) 758-1818,Acute Care Hospitals,Proprietary
+52270,PARIS REGIONAL MEDICAL CENTER,820 CLARKSVILLE ST,PARIS,TX,75460,LAMAR,(903) 785-4521,Acute Care Hospitals,Proprietary
+87460,HIRAM W DAVIS MEDICAL CENTER,P O BOX 4030,PETERSBURG,VA,23803,PETERSBURG CITY,(804) 524-7344,Acute Care Hospitals,Government - State
+92924,GLENN MEDICAL CENTER,1133 W SYCAMORE ST,WILLOWS,CA,95988,GLENN,(530) 934-1818,Critical Access Hospitals,Government - Federal
+86094,"COMPASS BEHAVIORAL CENTER OF HOUMA, LLC",4701 WEST PARK AVENUE,HOUMA,LA,70364,TERREBONNE,(985) 876-1715,Psychiatric,Proprietary
+48586,CAPITAL HEALTH SYSTEM-FULD CAMPUS,750 BRUNSWICK AVE,TRENTON,NJ,8638,MERCER,(609) 394-6000,Acute Care Hospitals,Voluntary non-profit - Private
+43438,MAYO CLINIC HLTH SYSTM FRANCISCAN HLTHCARE SPARTA,310 W MAIN ST,SPARTA,WI,54656,MONROE,(608) 269-2132,Critical Access Hospitals,Voluntary non-profit - Church
+25986,EL CENTRO REGIONAL MEDICAL CENTER,1415 ROSS AVENUE,EL CENTRO,CA,92243,IMPERIAL,(760) 339-7100,Acute Care Hospitals,Government - Local
+58690,WARREN STATE HOSPITAL,33 MAIN DRIVE,NORTH WARREN,PA,16365,WARREN,(814) 723-5500,Psychiatric,Government - State
+69494,ALLEN HOSPITAL,1825 LOGAN AVENUE,WATERLOO,IA,50703,BLACK HAWK,(319) 235-3941,Acute Care Hospitals,Voluntary non-profit - Private
+56033,ST CHARLES PARISH HOSPITAL,1057 PAUL MAILLARD ROAD,LULING,LA,70070,ST. CHARLES,(985) 785-3644,Acute Care Hospitals,Government - Hospital District or Authority
+29955,LONE PEAK HOSPITAL,11925 SOUTH STATE STREET,DRAPER,UT,84020,SALT LAKE,(801) 545-8000,Acute Care Hospitals,Proprietary
+83458,FULTON STATE HOSPITAL,600 EAST 5TH STREET,FULTON,MO,65251,CALLAWAY,(573) 592-4100,Psychiatric,Government - State
+38760,SHRINERS' HOSPITAL FOR CHILDREN (THE),516 CAREW STREET,SPRINGFIELD,MA,1104,HAMPDEN,(413) 787-2000,Childrens,Voluntary non-profit - Private
+46676,CHILDRENS MEDICAL CENTER PLANO,7601 PRESTON ROAD,PLANO,TX,75024,COLLIN,(214) 456-1792,Childrens,Voluntary non-profit - Private
+61833,SURGICAL SPECIALTY CENTER AT COORDINATED HEALTH,1503 CEDAR CREST BOULEVARD,ALLENTOWN,PA,18104,LEHIGH,(610) 871-9110,Acute Care Hospitals,Physician
+16096,THE HOSPITALS OF PROVIDENCE HORIZON CITY CAMPUS,"13600 HORIZON STREET, SUITE 100",HORIZON CITY,TX,79928,EL PASO,(915) 407-7878,Acute Care Hospitals,Proprietary
+31799,NANTUCKET COTTAGE HOSPITAL,57 PROSPECT STREET,NANTUCKET,MA,2554,NANTUCKET,(508) 228-1200,Acute Care Hospitals,Voluntary non-profit - Private
+54308,RUSSELL REGIONAL HOSPITAL,200 S MAIN STREET,RUSSELL,KS,67665,RUSSELL,(785) 483-3131,Critical Access Hospitals,Voluntary non-profit - Private
+69114,PRATT REGIONAL MEDICAL CENTER,200 COMMODORE ST,PRATT,KS,67124,PRATT,(620) 450-1160,Acute Care Hospitals,Proprietary
+82503,HARPER COUNTY COMMUNITY HOSPITAL,1003 US HIGHWAY 64 NORTH,BUFFALO,OK,73834,HARPER,(580) 735-2555,Critical Access Hospitals,Government - Local
+24008,AVERA ST BENEDICT HEALTH CENTER - CAH,401 WEST GLYNN DRIVE,PARKSTON,SD,57366,HUTCHINSON,(605) 928-3311,Critical Access Hospitals,Voluntary non-profit - Private
+67944,COLLEGE MEDICAL CENTER,2776 PACIFIC AVENUE,LONG BEACH,CA,90806,LOS ANGELES,(562) 595-1911,Acute Care Hospitals,Proprietary
+29712,KINGMAN REGIONAL MEDICAL CENTER,3269 STOCKTON HILL ROAD,KINGMAN,AZ,86409,MOHAVE,(928) 757-2101,Acute Care Hospitals,Government - Hospital District or Authority
+89756,GRIFFIN HOSPITAL,130 DIVISION ST,DERBY,CT,6418,NEW HAVEN,(203) 732-7500,Acute Care Hospitals,Voluntary non-profit - Other
+68685,COMMUNITY HOSPITALS AND WELLNESS CENTERS,433 WEST HIGH STREET,BRYAN,OH,43506,WILLIAMS,(419) 636-1131,Acute Care Hospitals,Voluntary non-profit - Other
+56751,LOCK HAVEN HOSPITAL,24 CREE DRIVE,LOCK HAVEN,PA,17745,CLINTON,(570) 893-5024,Acute Care Hospitals,Proprietary
+37183,LOURDES HOSPITAL,1530 LONE OAK ROAD,PADUCAH,KY,42003,MC CRACKEN,(270) 444-2444,Acute Care Hospitals,Voluntary non-profit - Church
+32780,BON SECOURS MEMORIAL REGIONAL MEDICAL CENTER,8260 ATLEE ROAD,MECHANICSVILLE,VA,23116,HANOVER,(804) 764-6000,Acute Care Hospitals,Voluntary non-profit - Church
+62806,PALO VERDE BEHAVIORAL HEALTH,2695 NORTH CRAYCROFT ROAD,TUCSON,AZ,85712,PIMA,(520) 322-2888,Psychiatric,Voluntary non-profit - Private
+55343,WELLSTAR SYLVAN GROVE HOSPITAL,1050 MCDONOUGH ROAD,JACKSON,GA,30233,BUTTS,(770) 775-7861,Critical Access Hospitals,Government - Hospital District or Authority
+90806,"ANIMAS SURGICAL HOSPITAL, LLC",575 RIVERGATE LN,DURANGO,CO,81301,LA PLATA,(970) 247-3537,Acute Care Hospitals,Physician
+49706,CASCADE VALLEY HOSPITAL,330 S STILLAGUAMISH AVE,ARLINGTON,WA,98223,SNOHOMISH,(360) 435-2133,Acute Care Hospitals,Government - Hospital District or Authority
+78801,HEREFORD REGIONAL MEDICAL CENTER,801 EAST THIRD,HEREFORD,TX,79045,DEAF SMITH,(806) 364-2141,Acute Care Hospitals,Government - Hospital District or Authority
+78030,CEDAR PARK REGIONAL MEDICAL CENTER,1401 MEDICAL PARKWAY,CEDAR PARK,TX,78613,WILLIAMSON,(512) 528-7000,Acute Care Hospitals,Proprietary
+72717,FAIRVIEW LAKES MEDICAL CENTER,5200 FAIRVIEW BOULEVARD,WYOMING,MN,55092,CHISAGO,(763) 389-6481,Acute Care Hospitals,Voluntary non-profit - Private
+42466,JACKSON-MADISON COUNTY GENERAL HOSPITAL,620 SKYLINE DRIVE,JACKSON,TN,38301,MADISON,(731) 541-5000,Acute Care Hospitals,Government - Hospital District or Authority
+64667,MERCY MEDICAL CENTER MT SHASTA,914 PINE STREET,MOUNT SHASTA,CA,96067,SISKIYOU,(530) 926-6111,Critical Access Hospitals,Voluntary non-profit - Other
+64632,MERCY HOSPITAL LINCOLN,1000 EAST CHERRY STREET,TROY,MO,63379,LINCOLN,(636) 528-8551,Critical Access Hospitals,Government - Local
+52654,MARY S HARPER GERIATRIC PSYCHIATRY CENTER,201 UNIVERSITY BLVD,TUSCALOOSA,AL,35401,TUSCALOOSA,(205) 759-0900,Psychiatric,Government - State
+57471,MOUNT SINAI WEST,1000 TENTH AVENUE,NEW YORK,NY,10019,NEW YORK,(212) 523-4000,Acute Care Hospitals,Voluntary non-profit - Private
+41348,WHITESBURG ARH HOSPITAL,240 HOSPITAL ROAD,WHITESBURG,KY,41858,LETCHER,(606) 633-3500,Acute Care Hospitals,Voluntary non-profit - Other
+72128,EDGEFIELD COUNTY HEALTHCARE AN AFFILIATE OF SELF R,300 RIDGE MEDICAL PLAZA,EDGEFIELD,SC,29824,EDGEFIELD,(803) 637-3174,Critical Access Hospitals,Government - Local
+94944,PRISMA HEATH TUOMEY HOSPITAL,129 N WASHINGTON ST,SUMTER,SC,29150,SUMTER,(803) 296-2548,Acute Care Hospitals,Voluntary non-profit - Private
+28537,HUNTINGTON MEMORIAL HOSPITAL,100 W  CALIFORNIA BLVD,PASADENA,CA,91109,LOS ANGELES,(626) 397-5000,Acute Care Hospitals,Voluntary non-profit - Other
+31994,ASCENSION SACRED HEART BAY,615 N BONITA AVE,PANAMA CITY,FL,32401,BAY,(850) 769-1511,Acute Care Hospitals,Government - Hospital District or Authority
+50083,TENNOVA HEALTHCARE-SHELBYVILLE,2835 HWY 231 NORTH,SHELBYVILLE,TN,37160,BEDFORD,(931) 685-5433,Acute Care Hospitals,Proprietary
+38891,PECONIC BAY MEDICAL CENTER,1300 ROANOKE AVENUE,RIVERHEAD,NY,11901,SUFFOLK,(631) 548-6000,Acute Care Hospitals,Voluntary non-profit - Private
+14529,ST MARYS MEDICAL CENTER,2635 N 7TH ST,GRAND JUNCTION,CO,81502,MESA,(970) 298-1950,Acute Care Hospitals,Voluntary non-profit - Church
+15000,MISSION HOSPITAL REGIONAL MED CENTER,27700 MEDICAL CENTER RD,MISSION VIEJO,CA,92691,ORANGE,(949) 364-1400,Acute Care Hospitals,Voluntary non-profit - Private
+64061,NORTH BALDWIN INFIRMARY,1815 HAND AVENUE,BAY MINETTE,AL,36507,BALDWIN,(251) 937-5521,Acute Care Hospitals,Voluntary non-profit - Private
+24018,ST JOSEPH'S UNIVERSITY MEDICAL CENTER,703 MAIN ST,PATERSON,NJ,7503,PASSAIC,(973) 754-2010,Acute Care Hospitals,Voluntary non-profit - Church
+91545,BAPTIST HEALTH - FORT SMITH,1001 TOWSON AVENUE,FORT SMITH,AR,72901,SEBASTIAN,(479) 441-4000,Acute Care Hospitals,Proprietary
+86249,CANONSBURG GENERAL HOSPITAL,100 MEDICAL BOULEVARD,CANONSBURG,PA,15317,WASHINGTON,(724) 873-5892,Acute Care Hospitals,Voluntary non-profit - Private
+61605,MEDICAL CENTER OF SOUTH ARKANSAS,700 WEST GROVE STREET,EL DORADO,AR,71730,UNION,(870) 863-2000,Acute Care Hospitals,Proprietary
+27278,ASPIRUS IRONWOOD HOSPITAL,N10561 GRAND VIEW LANE,IRONWOOD,MI,49938,GOGEBIC,(906) 932-2525,Critical Access Hospitals,Voluntary non-profit - Private
+78349,CHI HEALTH PLAINVIEW,"P O BOX 489, 704 NORTH THIRD ST",PLAINVIEW,NE,68769,PIERCE,(402) 582-4245,Critical Access Hospitals,Voluntary non-profit - Church
+79082,MINNEOLA DISTRICT HOSPITAL NBR 2,212 MAIN,MINNEOLA,KS,67865,FORD,(620) 885-4264,Critical Access Hospitals,Government - Hospital District or Authority
+14407,ST MARGARETS HOSPITAL,600 E 1ST ST,SPRING VALLEY,IL,61362,BUREAU,(815) 664-1176,Acute Care Hospitals,Voluntary non-profit - Private
+59110,MERCY ST ANNE HOSPITAL,3404 SYLVANIA AVENUE,TOLEDO,OH,43623,LUCAS,(419) 407-2663,Acute Care Hospitals,Voluntary non-profit - Church
+83541,CENTERPOINTE HOSPITAL,4801 WELDON SPRING PARKWAY,SAINT CHARLES,MO,63304,ST. CHARLES,(636) 441-7300,Psychiatric,Proprietary
+52829,NORTH COUNTRY HOSPITAL AND HEALTH CENTER,189 PROUTY DRIVE,NEWPORT,VT,5855,ORLEANS,(802) 334-7331,Critical Access Hospitals,Voluntary non-profit - Private
+52944,DOCTORS MEMORIAL HOSPITAL INC,333 N BYRON BUTLER PKWY,PERRY,FL,32348,TAYLOR,(850) 584-0800,Acute Care Hospitals,Voluntary non-profit - Private
+18032,COTTAGE HOSPITAL,90 SWIFTWATER RD,WOODSVILLE,NH,3785,GRAFTON,(603) 747-9000,Critical Access Hospitals,Voluntary non-profit - Private
+92342,BRYNN MARR HOSP,192 VILLAGE DRIVE,JACKSONVILLE,NC,28540,ONSLOW,(919) 577-1400,Psychiatric,Government - Federal
+83006,BLECKLEY MEMORIAL HOSPITAL,145 PEACOCK STREET,COCHRAN,GA,31014,BLECKLEY,(478) 934-6211,Critical Access Hospitals,Government - Hospital District or Authority
+49585,JUPITER MEDICAL CENTER,1210 S OLD DIXIE HWY,JUPITER,FL,33458,PALM BEACH,(561) 747-2234,Acute Care Hospitals,Voluntary non-profit - Private
+84766,"AD HOSPITAL EAST, LLC","12950 EAST FREEWAY, SUITE 100",HOUSTON,TX,77015,HARRIS,(713) 330-3897,Acute Care Hospitals,Proprietary
+60590,O'CONNOR HOSPITAL,460 ANDES ROAD,DELHI,NY,13753,DELAWARE,(607) 746-0300,Critical Access Hospitals,Voluntary non-profit - Private
+71818,ADVENTHEALTH ROLLINS BROOK,608 NORTH KEY AVENUE,LAMPASAS,TX,76550,LAMPASAS,(512) 556-3682,Critical Access Hospitals,Voluntary non-profit - Church
+41666,CHI HEALTH LAKESIDE,16901 LAKESIDE HILLS CT,OMAHA,NE,68130,DOUGLAS,(402) 717-8167,Acute Care Hospitals,Voluntary non-profit - Church
+65260,METHODIST MEDICAL CENTER OF OAK RIDGE,990 OAK RIDGE TURNPIKE BOX 529,OAK RIDGE,TN,37830,ANDERSON,(865) 835-1000,Acute Care Hospitals,Voluntary non-profit - Private
+91982,MENDOCINO COAST DISTRICT HOSPITAL,700 RIVER DR,FORT BRAGG,CA,95437,MENDOCINO,(707) 961-1234,Critical Access Hospitals,Government - Hospital District or Authority
+51486,NH Jacksonville,2080 Child Street,Jacksonville,FL,32212,DUVAL,(904) 542-7300,Acute Care - Department of Defense,Department of Defense
+91257,CHI OAKES HOSPITAL,1200 N 7TH ST,OAKES,ND,58474,DICKEY,(701) 742-3291,Critical Access Hospitals,Voluntary non-profit - Private
+58886,MONONGAHELA VALLEY HOSPITAL,1163 COUNTRY CLUB ROAD,MONONGAHELA,PA,15063,WASHINGTON,(724) 258-1000,Acute Care Hospitals,Voluntary non-profit - Private
+65616,MARIETTA MEMORIAL HOSPITAL,401 MATTHEW STREET,MARIETTA,OH,45750,WASHINGTON,(740) 374-1400,Acute Care Hospitals,Voluntary non-profit - Other
+80100,ADVOCATE ILLINOIS MASONIC MEDICAL CENTER,836 WEST WELLINGTON AVENUE,CHICAGO,IL,60657,COOK,(773) 975-1600,Acute Care Hospitals,Voluntary non-profit - Private
+44949,INDIANA UNIVERSITY HEALTH FRANKFORT INC,1300 S JACKSON ST,FRANKFORT,IN,46041,CLINTON,(765) 656-3000,Critical Access Hospitals,Voluntary non-profit - Private
+42122,COLORADO MENTAL HEALTH INSTITUTE AT FT LOGAN,3520 W OXFORD AVE,DENVER,CO,80236,DENVER,(303) 866-7066,Psychiatric,Voluntary non-profit - Other
+93059,CENTRACARE HEALTH SYSTEM - SAUK CENTRE,425 NORTH ELM STREET,SAUK CENTRE,MN,56378,STEARNS,(320) 352-2221,Critical Access Hospitals,Voluntary non-profit - Private
+58293,HENDRICKS REGIONAL HEALTH,1000 E MAIN ST,DANVILLE,IN,46122,HENDRICKS,(317) 745-4451,Acute Care Hospitals,Government - Local
+51381,THREE RIVERS HEALTH,701 S HEALTH PARKWAY,THREE RIVERS,MI,49093,ST. JOSEPH,(269) 273-9602,Acute Care Hospitals,Government - Hospital District or Authority
+66026,ASCENSION OUR LADY OF VICTORY HOSPITAL,1120 PINE ST,STANLEY,WI,54768,CHIPPEWA,(715) 644-5571,Critical Access Hospitals,Voluntary non-profit - Other
+54268,HOLMES COUNTY HOSPITAL AND CLINICS,239 BOWLING GREEN ROAD,LEXINGTON,MS,39095,HOLMES,(662) 834-1321,Critical Access Hospitals,Government - State
+94893,OCALA REGIONAL MEDICAL CENTER,1431 SW 1ST AVE,OCALA,FL,34478,MARION,(352) 401-1000,Acute Care Hospitals,Proprietary
+32908,WINDMOOR HEALTHCARE OF CLEARWATER,11300 US 19 N,CLEARWATER,FL,33764,PINELLAS,(727) 541-2646,Psychiatric,Proprietary
+10533,SHRINERS HOSPITALS FOR CHILDREN,815 MARKET STREET,GALVESTON,TX,77550,GALVESTON,(409) 770-6600,Childrens,Voluntary non-profit - Private
+29502,GOOD SAMARITAN MEDICAL CENTER,235 NORTH PEARL STREET,BROCKTON,MA,2301,PLYMOUTH,(508) 427-3000,Acute Care Hospitals,Proprietary
+62754,BRENTWOOD BEHAVIORAL HEALTHCARE OF MS,3531 EAST LAKELAND DRIVE,FLOWOOD,MS,39232,RANKIN,(601) 936-2024,Psychiatric,Proprietary
+14310,KAISER SUNNYSIDE MEDICAL CENTER,10180 SE SUNNYSIDE ROAD,CLACKAMAS,OR,97015,CLACKAMAS,(503) 652-2880,Acute Care Hospitals,Voluntary non-profit - Other
+81584,SAINT FRANCIS MEDICAL CENTER,530 NE GLEN OAK AVE,PEORIA,IL,61637,PEORIA,(309) 655-2000,Acute Care Hospitals,Voluntary non-profit - Private
+14295,ST JOSEPH MEDICAL CENTER,1717 SOUTH J STREET,TACOMA,WA,98405,PIERCE,(253) 627-4101,Acute Care Hospitals,Voluntary non-profit - Church
+52425,WORCESTER RECOVERY CENTER AND HOSPITAL,309 BELMONT STREET,WORCESTER,MA,1604,WORCESTER,(508) 752-4681,Psychiatric,Government - State
+81690,PRAIRIE RIDGE HOSPITAL AND HEALTH SERVICES,1411 HIGHWAY 793 E,ELBOW LAKE,MN,56531,GRANT,(218) 685-7300,Critical Access Hospitals,Voluntary non-profit - Private
+84677,WILLAPA HARBOR HOSPITAL,800 ALDER STREET,SOUTH BEND,WA,98586,PACIFIC,(360) 875-5526,Critical Access Hospitals,Government - Hospital District or Authority
+20387,SEMPERVIRENS,720 WOOD ST,EUREKA,CA,95501,HUMBOLDT,(707) 268-2990,Psychiatric,Government - Local
+57289,SCOTTSDALE SHEA MEDICAL CENTER,9003 EAST SHEA BOULEVARD,SCOTTSDALE,AZ,85260,MARICOPA,(480) 323-3000,Acute Care Hospitals,Proprietary
+80103,BANNER PAYSON MEDICAL CENTER,807 SOUTH PONDEROSA DRIVE,PAYSON,AZ,85541,GILA,(928) 474-3222,Critical Access Hospitals,Voluntary non-profit - Other
+10140,MOUNTAIN LAKES MEDICAL CENTER,162 LEGACY POINT,CLAYTON,GA,30525,RABUN,(706) 782-3100,Critical Access Hospitals,Proprietary
+90845,ST ALEXIUS MEDICAL CENTER,1555 N BARRINGTON RD,HOFFMAN ESTATES,IL,60169,COOK,(847) 843-2000,Acute Care Hospitals,Voluntary non-profit - Church
+45091,ESSENTIA HEALTH VIRGINIA,901 9TH STREET NORTH,VIRGINIA,MN,55792,ST. LOUIS,(218) 741-3340,Acute Care Hospitals,Government - Local
+91003,BATTLE MOUNTAIN GENERAL HOSPITAL,535 SOUTH HUMBOLDT STREET,BATTE MTN,NV,89820,LANDER,(775) 635-2550,Critical Access Hospitals,Government - Hospital District or Authority
+51114,PROVIDENCE SEWARD HOSPITAL,"417 FIRST AVENUE, PO BOX 365",SEWARD,AK,99664,KENAI PENINSULA,(907) 224-5205,Critical Access Hospitals,Government - Local
+93083,COMMUNITY REGIONAL MEDICAL CENTER,2823 FRESNO STREET,FRESNO,CA,93721,FRESNO,(559) 459-6000,Acute Care Hospitals,Voluntary non-profit - Private
+91372,WYOMING COUNTY COMMUNITY HOSPITAL,400 NORTH MAIN STREET,WARSAW,NY,14569,WYOMING,(585) 786-2233,Acute Care Hospitals,Government - Local
+17086,ASCENSION ST JOSEPH HOSPITAL,200 HEMLOCK,TAWAS CITY,MI,48764,IOSCO,(989) 362-9301,Acute Care Hospitals,Government - Hospital District or Authority
+68681,LITTLE RIVER HEALTHCARE,1700 BRAZOS,ROCKDALE,TX,76567,MILAM,(512) 446-4500,Critical Access Hospitals,Proprietary
+61782,NORTH VALLEY HOSPITAL,1600 HOSPITAL WAY,WHITEFISH,MT,59937,FLATHEAD,(406) 863-3550,Critical Access Hospitals,Voluntary non-profit - Private
+84583,NORTHBAY MEDICAL CENTER,1200 B  GALE WILSON BLVD,FAIRFIELD,CA,94533,SOLANO,(707) 646-5000,Acute Care Hospitals,Voluntary non-profit - Other
+55075,ST PETERSBURG GENERAL HOSPITAL,6500 38TH AVE N,SAINT PETERSBURG,FL,33710,PINELLAS,(727) 384-1414,Acute Care Hospitals,Proprietary
+45812,ELBERT MEMORIAL HOSPITAL,4 MEDICAL DRIVE,ELBERTON,GA,30635,ELBERT,(706) 213-2535,Acute Care Hospitals,Government - Hospital District or Authority
+77696,MCDOWELL ARH HOSPITAL,9879 KENTUCKY ROUTE 122,MC DOWELL,KY,41647,FLOYD,(606) 377-3400,Critical Access Hospitals,Voluntary non-profit - Private
+67369,UPMC MCKEESPORT,1500 FIFTH AVENUE,MC KEESPORT,PA,15132,ALLEGHENY,(412) 664-2000,Acute Care Hospitals,Voluntary non-profit - Private
+42890,SSM HEALTH SAINT LOUIS UNIVERSITY HOSPITAL,3635 VISTA AVE,SAINT LOUIS,MO,63110,ST. LOUIS CITY,(314) 577-8000,Acute Care Hospitals,Proprietary
+18089,ROCK COUNTY HOSPITAL,102 EAST SOUTH STREET,BASSETT,NE,68714,HOLT,(402) 684-3366,Critical Access Hospitals,Government - Local
+66286,HCA HOUSTON HEALTHCARE TOMBALL,605 HOLDERRIETH,TOMBALL,TX,77375,HARRIS,(281) 351-1623,Acute Care Hospitals,Proprietary
+11294,CLOUD COUNTY HEALTH CENTER,1100 HIGHLAND DRIVE,CONCORDIA,KS,66901,CLOUD,(785) 243-1234,Critical Access Hospitals,Voluntary non-profit - Private
+39874,MULTICARE GOOD SAMARITAN HOSPITAL,401 15TH AVENUE SE,PUYALLUP,WA,98372,PIERCE,(253) 697-2102,Acute Care Hospitals,Voluntary non-profit - Private
+87478,MEADOWS REGIONAL MEDICAL CENTER,ONE MEADOWS PARKWAY,VIDALIA,GA,30474,TOOMBS,(912) 535-5828,Acute Care Hospitals,Proprietary
+91213,NORTH MISSISSIPPI MEDICAL CENTER-GILMORE AMORY,1105 EARL FRYE BLVD,AMORY,MS,38821,MONROE,(662) 256-7111,Acute Care Hospitals,Proprietary
+12468,STEWART MEMORIAL COMMUNITY HOSPITAL,1301 WEST MAIN STREET,LAKE CITY,IA,51449,CALHOUN,(712) 464-3171,Critical Access Hospitals,Voluntary non-profit - Private
+27633,ED FRASER MEMORIAL HOSPITAL,159 N 3RD ST,MACCLENNY,FL,32063,BAKER,(904) 259-3151,Acute Care Hospitals,Voluntary non-profit - Church
+39268,"BAKERSFIELD BEHAVIORAL HEALTHCARE HOSPITAL, LLC",5201 WHITE LANE,BAKERSFIELD,CA,93309,KERN,(661) 398-1800,Psychiatric,Proprietary
+79318,MADERA COMMUNITY HOSPITAL,1250 E ALMOND AVE,MADERA,CA,93637,MADERA,(559) 675-5555,Acute Care Hospitals,Voluntary non-profit - Other
+69616,NORTHWOOD DEACONESS HEALTH CENTER,PO BOX 190,NORTHWOOD,ND,58267,GRAND FORKS,(701) 587-6060,Critical Access Hospitals,Voluntary non-profit - Church
+27331,POLK MEDICAL CENTER,2360 ROCKMART HIGHWAY,CEDARTOWN,GA,30125,POLK,(770) 748-2500,Critical Access Hospitals,Voluntary non-profit - Private
+43530,MERCER COUNTY JOINT TOWNSHIP COMMUNITY HOSPITAL,800 WEST MAIN STREET,COLDWATER,OH,45828,MERCER,(419) 678-4843,Acute Care Hospitals,Government - Hospital District or Authority
+72176,PIKE COUNTY MEMORIAL HOSPITAL,2305 WEST GEORGIA STREET,LOUISIANA,MO,63353,PIKE,(573) 754-5531,Critical Access Hospitals,Government - Local
+88687,GOOD SAMARITAN MEDICAL CENTER,1309 N FLAGLER DR,WEST PALM BEACH,FL,33401,PALM BEACH,(561) 655-5511,Acute Care Hospitals,Proprietary
+55539,CHILDRENS HOSPITAL,200 HENRY CLAY AVE,NEW ORLEANS,LA,70118,ORLEANS,(504) 899-9511,Childrens,Voluntary non-profit - Private
+72590,HARBOR OAKS HOSPITAL,35031 23 MILE RD,NEW BALTIMORE,MI,48047,MACOMB,(586) 725-5777,Psychiatric,Proprietary
+73209,NOVANT HEALTH UVA HEALTH HAYMARKET MEDICAL CENTER,15225 HEALTHCOTE BOULEVARD,HAYMARKET,VA,20169,PRINCE WILLIAM,(571) 284-1000,Acute Care Hospitals,Voluntary non-profit - Private
+11900,SOUTHWESTERN VERMONT MEDICAL CENTER,100 HOSPITAL DRIVE,BENNINGTON,VT,5201,BENNINGTON,(802) 442-6361,Acute Care Hospitals,Voluntary non-profit - Private
+93097,BEAVER VALLEY HOSPITAL,1109 NORTH 100 WEST,BEAVER,UT,84713,BEAVER,(435) 438-7100,Critical Access Hospitals,Government - State
+71251,KUAKINI MEDICAL CENTER,347 NORTH KUAKINI STREET,HONOLULU,HI,96817,HONOLULU,(808) 536-2236,Acute Care Hospitals,Voluntary non-profit - Private
+16732,ST MARY'S MEDICAL CENTER,2900 1ST AVENUE,HUNTINGTON,WV,25702,CABELL,(304) 526-1234,Acute Care Hospitals,Voluntary non-profit - Church
+40488,CHILDRENS MEDICAL CTR OF DALLAS,1935 MEDICAL DISTRICT DRIVE,DALLAS,TX,75235,DALLAS,(214) 456-7000,Childrens,Voluntary non-profit - Private
+29332,JOHN C. LINCOLN NORTH MOUNTAIN HOSPITAL,250 EAST DUNLAP AVENUE,PHOENIX,AZ,85020,MARICOPA,(602) 331-5862,Acute Care Hospitals,Voluntary non-profit - Private
+38429,CLAY COUNTY MEDICAL CENTER,617 LIBERTY,CLAY CENTER,KS,67432,CLAY,(785) 632-2144,Critical Access Hospitals,Government - Local
+60463,WASHINGTON COUNTY HOSPITAL*,705 S GRAND AVE,NASHVILLE,IL,62263,WASHINGTON,(618) 327-8236,Critical Access Hospitals,Government - Hospital District or Authority
+23681,ALOMERE HEALTH,111 17TH AVENUE EAST,ALEXANDRIA,MN,56308,DOUGLAS,(320) 762-1511,Acute Care Hospitals,Government - Local
+28398,MARCUM & WALLACE MEMORIAL HOSPITAL,60 MERCY COURT,IRVINE,KY,40336,ESTILL,(606) 723-2115,Critical Access Hospitals,Voluntary non-profit - Private
+44966,SEQUOIA HOSPITAL,170 ALAMEDA DE LAS PULGAS,REDWOOD CITY,CA,94062,SAN MATEO,(650) 367-5551,Acute Care Hospitals,Voluntary non-profit - Private
+78300,SAINT ROSE DOMINICAN HOSPITALS - SIENA CAMPUS,3001 ST ROSE PARKWAY,HENDERSON,NV,89052,CLARK,(702) 616-5000,Acute Care Hospitals,Voluntary non-profit - Private
+83357,SOUTH BIG HORN COUNTY CRITICAL ACCESS HOSPITAL,388 US HIGHWAY 20 SOUTH,BASIN,WY,82410,BIG HORN,(307) 568-1500,Critical Access Hospitals,Government - Hospital District or Authority
+58256,ASCENSION PROVIDENCE ROCHESTER HOSPITAL,1101 W UNIVERSITY DRIVE,ROCHESTER,MI,48307,OAKLAND,(248) 652-5000,Acute Care Hospitals,Voluntary non-profit - Private
+15693,ESKENAZI HEALTH,720 ESKENAZI AVENUE,INDIANAPOLIS,IN,46202,MARION,(317) 880-4818,Acute Care Hospitals,Government - Local
+52053,BLACK HILLS SURGICAL HOSPITAL LLP,216 ANAMARIA DR,RAPID CITY,SD,57703,PENNINGTON,(605) 721-4700,Acute Care Hospitals,Proprietary
+67157,MIDMICHIGAN MEDICAL CENTER-CLARE,703 N MCEWAN ST,CLARE,MI,48617,CLARE,(989) 802-5000,Acute Care Hospitals,Voluntary non-profit - Other
+78800,ST LUKES HOSPITAL,232 S WOODS MILL RD,CHESTERFIELD,MO,63017,ST. LOUIS,(314) 434-1500,Acute Care Hospitals,Voluntary non-profit - Private
+84967,EATON RAPIDS MEDICAL CENTER,1500 S MAIN STREET,EATON RAPIDS,MI,48827,EATON,(517) 663-2671,Critical Access Hospitals,Voluntary non-profit - Private
+71167,BRENTWOOD SPRINGS,4488 ROSLIN RD,NEWBURGH,IN,47630,WARRICK,(812) 858-7200,Psychiatric,Voluntary non-profit - Private
+47944,VAN DIEST MEDICAL CENTER,2350 HOSPITAL DRIVE,WEBSTER CITY,IA,50595,HAMILTON,(515) 832-9400,Critical Access Hospitals,Government - Local
+44170,CAPE COD HOSPITAL,88 LEWIS BAY ROAD,HYANNIS,MA,2601,BARNSTABLE,(508) 771-1800,Acute Care Hospitals,Voluntary non-profit - Private
+39403,KINGS DAUGHTERS MEDICAL CENTER OHIO,1901 ARGONNE ROAD,PORTSMOUTH,OH,45662,SCIOTO,(740) 991-4000,Acute Care Hospitals,Voluntary non-profit - Private
+85500,CAPE CORAL HOSPITAL,636 DEL PRADO BLVD,CAPE CORAL,FL,33990,LEE,(239) 574-2323,Acute Care Hospitals,Government - Hospital District or Authority
+73604,MEDSTAR SAINT MARY'S HOSPITAL,25500 POINT LOOKOUT ROAD,LEONARDTOWN,MD,20650,ST. MARYS,(301) 475-6001,Acute Care Hospitals,Voluntary non-profit - Private
+50219,HALE HO'OLA HAMAKUA,45-547 PLUMERIA STREET,HONOKAA,HI,96727,HAWAII,(808) 932-4100,Critical Access Hospitals,Government - State
+87974,WESTERN WISCONSIN HEALTH,1100 BERGSLIEN ST,BALDWIN,WI,54002,ST. CROIX,(715) 684-1111,Critical Access Hospitals,Voluntary non-profit - Private
+31674,COLORADO MENTAL HEALTH INSTITUTE AT PUEBLO-PSYCH,1600 W 24TH ST,PUEBLO,CO,81003,PUEBLO,(719) 546-4000,Psychiatric,Government - State
+73628,OKLAHOMA SPINE HOSPITAL,14101 PARKWAY COMMONS DRIVE,OKLAHOMA CITY,OK,73134,OKLAHOMA,(405) 749-2700,Acute Care Hospitals,Physician
+71941,ASANTE ROGUE REGIONAL MEDICAL CENTER,2825 E BARNETT ROAD,MEDFORD,OR,97504,JACKSON,(541) 789-7000,Acute Care Hospitals,Voluntary non-profit - Private
+49571,HOWARD UNIVERSITY HOSPITAL,2041 GEORGIA AVE NW,WASHINGTON,DC,20060,THE DISTRICT,(202) 745-6100,Acute Care Hospitals,Voluntary non-profit - Other
+19862,MADISON VALLEY MEDICAL CENTER,305 N MAIN,ENNIS,MT,59729,MADISON,(406) 682-4222,Critical Access Hospitals,Government - Hospital District or Authority
+23758,MARSHFIELD MEDICAL CENTER - LADYSMITH,900 COLLEGE AVE WEST,LADYSMITH,WI,54848,RUSK,(715) 532-5561,Critical Access Hospitals,Government - Local
+86315,ASSUMPTION COMMUNITY HOSPITAL,135 HIGHWAY 402,NAPOLEONVILLE,LA,70390,ASSUMPTION,(985) 369-3600,Critical Access Hospitals,Voluntary non-profit - Private
+78874,POCAHONTAS MEMORIAL HOSPITAL,150 DUNCAN ROAD,BUCKEYE,WV,24924,POCAHONTAS,(304) 799-7400,Critical Access Hospitals,Voluntary non-profit - Other
+46368,MOSAIC MEDICAL CENTER ALBANY,705 N COLLEGE STREET,ALBANY,MO,64402,GENTRY,(660) 726-3941,Critical Access Hospitals,Voluntary non-profit - Private
+11860,VIDANT BEAUFORT HOSPITAL,628 E 12TH ST,WASHINGTON,NC,27889,BEAUFORT,(252) 975-4100,Acute Care Hospitals,Voluntary non-profit - Private
+18219,BEAR VALLEY COMMUNITY HOSPITAL,41870 GARSTIN DR,BIG BEAR LAKE,CA,92315,SAN BERNARDINO,(909) 866-6501,Critical Access Hospitals,Government - Hospital District or Authority
+36923,BLACKBERRY CENTER,91 BEEHIVE CIR,SAINT CLOUD,FL,34769,OSCEOLA,(321) 805-5090,Psychiatric,Voluntary non-profit - Private
+35538,GLACIAL RIDGE HOSPITAL,10 4TH AVENUE SOUTHEAST,GLENWOOD,MN,56334,POPE,(320) 634-4521,Critical Access Hospitals,Government - Hospital District or Authority
+12926,MERCY REGIONAL MEDICAL CENTER,1010 THREE SPRINGS BLVD,DURANGO,CO,81301,LA PLATA,(970) 247-4311,Acute Care Hospitals,Voluntary non-profit - Church
+20449,SHOSHONE MEDICAL CENTER,25 JACOBS GULCH ROAD,KELLOGG,ID,83837,SHOSHONE,(208) 784-1221,Critical Access Hospitals,Government - Hospital District or Authority
+76337,SANFORD TRACY MEDICAL CENTER,251 FIFTH STREET EAST,TRACY,MN,56175,LYON,(507) 629-8400,Critical Access Hospitals,Voluntary non-profit - Private
+70123,RIVER FALLS AREA HOSPITAL,1629 E DIVISION ST,RIVER FALLS,WI,54022,PIERCE,(715) 307-6000,Critical Access Hospitals,Voluntary non-profit - Private
+94849,WELLSTAR SPALDING REGIONAL HOSPITAL,601 SOUTH 8TH STREET,GRIFFIN,GA,30223,SPALDING,(770) 228-2721,Acute Care Hospitals,Proprietary
+60447,DALLAS COUNTY MEDICAL CENTER,201 CLIFTON STREET,FORDYCE,AR,71742,DALLAS,(870) 352-6300,Critical Access Hospitals,Government - Local
+93715,ALTON MENTAL HEALTH CENTER,4500 COLLEGE AVENUE,ALTON,IL,62002,MADISON,(618) 474-3800,Psychiatric,Government - State
+89046,FRANCISCAN HEALTH MUNSTER,701 SUPERIOR AVE,MUNSTER,IN,46321,LAKE,(219) 922-4200,Acute Care Hospitals,Voluntary non-profit - Private
+33528,WHITFIELD MEDICAL SURGICAL HOSPITAL,"3550 HWY 468 W, BLDG 60",WHITFIELD,MS,39193,RANKIN,(601) 351-8023,Acute Care Hospitals,Government - State
+61645,HIALEAH HOSPITAL,651 E 25TH ST,HIALEAH,FL,33013,MIAMI-DADE,(305) 693-6100,Acute Care Hospitals,Proprietary
+17543,MEMORIAL MEDICAL CENTER,2450 SOUTH TELSHOR BLVD,LAS CRUCES,NM,88011,DONA ANA,(575) 522-8641,Acute Care Hospitals,Proprietary
+41265,OCEANS HOSPITAL OF BROUSSARD,420 ALBERTSONS PARKWAY,BROUSSARD,LA,70518,LAFAYETTE,(337) 839-9008,Psychiatric,Proprietary
+38765,WATERBURY HOSPITAL,64 ROBBINS ST,WATERBURY,CT,6721,NEW HAVEN,(203) 573-6000,Acute Care Hospitals,Proprietary
+22336,MEDICAL CITY MCKINNEY,4500 MEDICAL CENTER DRIVE,MCKINNEY,TX,75069,COLLIN,(972) 547-8000,Acute Care Hospitals,Proprietary
+74913,(CLOSED) CUMBERLAND RIVER HOSPITAL,100 OLD JEFFERSON ST,CELINA,TN,38551,CLAY,(931) 243-3581,Critical Access Hospitals,Physician
+35743,POCAHONTAS COMMUNITY HOSPITAL,606 N W 7TH STREET,POCAHONTAS,IA,50574,POCAHONTAS,(712) 335-3501,Critical Access Hospitals,Government - Local
+36555,YORK HOSPITAL,1001 SOUTH GEORGE STREET,YORK,PA,17403,YORK,(717) 851-2345,Acute Care Hospitals,Voluntary non-profit - Private
+27204,MILLINOCKET REGIONAL HOSPITAL,200 SOMERSET STREET,MILLINOCKET,ME,4462,PENOBSCOT,(207) 723-5161,Critical Access Hospitals,Voluntary non-profit - Private
+62555,UNIVERSITY OF CALIFORNIA IRVINE MED CENTER,101 CITY DRIVE SOUTH,ORANGE,CA,92868,ORANGE,(714) 456-6112,Acute Care Hospitals,Government - Local
+76816,HAVEN BEHAVIORAL HOSPITAL OF DAYTON,"ONE ELIZABETH PLACE, E3 SUITE A",DAYTON,OH,45417,MONTGOMERY,(937) 234-0103,Psychiatric,Proprietary
+63371,CHEYENNE REGIONAL MEDICAL CENTER,214 EAST 23RD STREET,CHEYENNE,WY,82001,LARAMIE,(307) 633-7600,Acute Care Hospitals,Voluntary non-profit - Other
+74090,JFK MEDICAL CENTER,5301 S CONGRESS AVE,ATLANTIS,FL,33462,PALM BEACH,(561) 965-7300,Acute Care Hospitals,Proprietary
+59172,MANGUM REGIONAL MEDICAL CENTER,1 WICKERSHAM DRIVE,MANGUM,OK,73554,GREER,(580) 782-3353,Critical Access Hospitals,Proprietary
+55154,HIMA SAN PABLO HUMACAO,CALLE FONT MARTELO #3,HUMACAO,PR,791,HUMACAO,(787) 852-2424,Acute Care Hospitals,Proprietary
+11268,RICHMOND UNIVERSITY MEDICAL CENTER,355 BARD AVENUE,STATEN ISLAND,NY,10310,RICHMOND,(718) 818-1234,Acute Care Hospitals,Voluntary non-profit - Private
+55863,POINTE COUPEE GENERAL HOSPITAL,2202 FALSE RIVER DRIVE,NEW ROADS,LA,70760,POINTE COUPEE,(225) 368-6386,Critical Access Hospitals,Government - Hospital District or Authority
+72397,BEAUMONT HOSPITAL - TAYLOR,10000 TELEGRAPH ROAD,TAYLOR,MI,48180,WAYNE,(313) 295-5253,Acute Care Hospitals,Voluntary non-profit - Private
+18212,THREE RIVERS HOSPITAL,451 HIGHWAY 13 SOUTH,WAVERLY,TN,37185,HUMPHREYS,(931) 296-4203,Critical Access Hospitals,Voluntary non-profit - Private
+65345,JOHNS HOPKINS ALL CHILDREN'S HOSPITAL,501 SIXTH AVENUE SOUTH,SAINT PETERSBURG,FL,33701,PINELLAS,(813) 898-7451,Childrens,Voluntary non-profit - Other
+12079,APPALACHIAN BEHAVIORAL HEALTH CARE,100 HOSPITAL DRIVE,ATHENS,OH,45701,ATHENS,(740) 594-5000,Psychiatric,Proprietary
+69000,LIBERTY REGIONAL MEDICAL CENTER,462 E G MILES PARKWAY,HINESVILLE,GA,31310,LIBERTY,(912) 369-9438,Critical Access Hospitals,Government - Hospital District or Authority
+78309,WHITE COUNTY MEDICAL CENTER,3214 EAST RACE AVENUE,SEARCY,AR,72143,WHITE,(501) 278-3100,Acute Care Hospitals,Voluntary non-profit - Private
+45523,MAYERS MEMORIAL HOSPITAL,43563 HWY 299 EAST,FALL RIVER MILLS,CA,96028,SHASTA,(530) 336-5511,Critical Access Hospitals,Voluntary non-profit - Other
+48625,HEBER VALLEY HOSPITAL,1485 SOUTH HIGHWAY 40,HEBER CITY,UT,84032,WASATCH,(435) 654-2500,Critical Access Hospitals,Voluntary non-profit - Private
+90760,CRETE AREA MEDICAL CENTER,"P O BOX 220, 2910 BETTEN DR",CRETE,NE,68333,SALINE,(402) 826-2101,Critical Access Hospitals,Voluntary non-profit - Private
+94750,WHIDBEYHEALTH MEDICAL CENTER,101 NORTH MAIN STREET,COUPEVILLE,WA,98239,ISLAND,(360) 678-5151,Critical Access Hospitals,Government - Hospital District or Authority
+53354,GEORGE L MEE MEMORIAL HOSPITAL,300 CANAL STREET,KING CITY,CA,93930,MONTEREY,(831) 385-6000,Acute Care Hospitals,Voluntary non-profit - Other
+76090,"VILLAGES REGIONAL HOSPITAL, THE",1451 EL CAMINO REAL,THE VILLAGES,FL,32159,LAKE,(352) 751-8000,Acute Care Hospitals,Voluntary non-profit - Private
+31719,CALIFORNIA PACIFIC MEDICAL CTR-DAVIES CAMPUS HOSP,601 DUBOCE AVENUE,SAN FRANCISCO,CA,94117,SAN FRANCISCO,(415) 600-6000,Acute Care Hospitals,Voluntary non-profit - Other
+74320,PONTIAC GENERAL HOSPITAL,461 W HURON ST,PONTIAC,MI,48341,OAKLAND,(248) 857-7200,Acute Care Hospitals,Proprietary
+46657,CHAN SOON- SHIONG MEDICAL CENTER AT WINDBER,600 SOMERSET AVENUE,WINDBER,PA,15963,SOMERSET,(814) 467-3000,Acute Care Hospitals,Voluntary non-profit - Private
+50193,ABRAZO CENTRAL CAMPUS,2000 WEST BETHANY HOME ROAD,PHOENIX,AZ,85015,MARICOPA,(602) 249-0212,Acute Care Hospitals,Physician
+94515,OSWEGO HOSPITAL,110 WEST SIXTH STREET,OSWEGO,NY,13126,OSWEGO,(315) 349-5511,Acute Care Hospitals,Voluntary non-profit - Private
+61654,ST FRANCIS HOSPITAL,2122 MANCHESTER EXPRESSWAY,COLUMBUS,GA,31995,MUSCOGEE,(706) 596-4020,Acute Care Hospitals,Voluntary non-profit - Private
+61662,COMMUNITY MEDICAL CENTER,2827 FORT MISSOULA RD,MISSOULA,MT,59804,MISSOULA,(406) 728-4100,Acute Care Hospitals,Voluntary non-profit - Private
+51678,SPEARE MEMORIAL HOSPITAL,16 HOSPITAL ROAD,PLYMOUTH,NH,3264,GRAFTON,(603) 536-1120,Critical Access Hospitals,Voluntary non-profit - Private
+39126,STANISLAUS SURGICAL HOSPITAL,1421 OAKDALE ROAD,MODESTO,CA,95355,STANISLAUS,(209) 572-2700,Acute Care Hospitals,Proprietary
+16598,OSWEGO COMMUNITY HOSPITAL,800 BARKER DRIVE,OSWEGO,KS,67356,LABETTE,(620) 795-2921,Critical Access Hospitals,Proprietary
+79924,SOUTH CENTRAL REG MED CTR,1220 JEFFERSON ST BOX 607,LAUREL,MS,39440,JONES,(601) 426-4000,Acute Care Hospitals,Government - Local
+90694,MILFORD REGIONAL MEDICAL CENTER,14 PROSPECT STREET,MILFORD,MA,1757,WORCESTER,(508) 473-1190,Acute Care Hospitals,Voluntary non-profit - Other
+56602,ASCENSION ST VINCENT'S CLAY COUNTY,1670 ST VINCENTS WAY,MIDDLEBURG,FL,32068,CLAY,(904) 602-1000,Acute Care Hospitals,Voluntary non-profit - Private
+27475,HERMANN AREA DISTRICT HOSPITAL,509 W 18TH ST,HERMANN,MO,65041,GASCONADE,(573) 486-2191,Critical Access Hospitals,Government - Hospital District or Authority
+51996,RED BUD REGIONAL HOSPITAL,325 SPRING STREET,RED BUD,IL,62278,RANDOLPH,(618) 282-3831,Critical Access Hospitals,Proprietary
+26197,TWIN COUNTY REGIONAL HOSPITAL,200 HOSPITAL DRIVE,GALAX,VA,24333,GALAX CITY,(276) 236-8181,Acute Care Hospitals,Proprietary
+19842,STONE COUNTY HOSPITAL,1434 EAST CENTRAL AVENUE,WIGGINS,MS,39577,STONE,(601) 928-6600,Critical Access Hospitals,Proprietary
+44862,OCHSNER MEDICAL CENTER - BATON ROUGE,17000 MEDICAL CENTER DR,BATON ROUGE,LA,70816,E. BATON ROUGE,(225) 752-2470,Acute Care Hospitals,Voluntary non-profit - Private
+93307,ONSLOW MEMORIAL HOSPITAL,317 WESTERN BOULEVARD,JACKSONVILLE,NC,28540,ONSLOW,(910) 577-2345,Acute Care Hospitals,Government - Hospital District or Authority
+75752,MEDINA MEMORIAL HOSPITAL,200 OHIO STREET,MEDINA,NY,14103,ORLEANS,(585) 798-8111,Critical Access Hospitals,Voluntary non-profit - Private
+62306,SPRINGWOODS BEHAVIORAL HEALTH SERVICES,1955 WEST TRUCKER'S DRIVE,FAYETTEVILLE,AR,72704,WASHINGTON,(479) 973-6000,Psychiatric,Proprietary
+88727,ST MARY MEDICAL CENTER INC,1500 S LAKE PARK AVE,HOBART,IN,46342,LAKE,(219) 942-0551,Acute Care Hospitals,Voluntary non-profit - Private
+25806,ALLIANCEHEALTH DURANT,1800 UNIVERSITY BOULEVARD,DURANT,OK,74702,BRYAN,(405) 924-3080,Acute Care Hospitals,Proprietary
+28692,SOUTH OAKS HOSP,400 SUNRISE HIGHWAY,AMITYVILLE,NY,11701,SUFFOLK,(516) 264-4000,Psychiatric,Voluntary non-profit - Private
+41787,"BHC MESILLA VALLEY HOSPITAL, LLC",3751 DEL REY BOULEVARD,LAS CRUCES,NM,88012,DONA ANA,(575) 382-3500,Psychiatric,Proprietary
+77957,REEVES COUNTY HOSPITAL DISTRICT,2323 TEXAS STREET,PECOS,TX,79772,REEVES,(432) 447-3551,Critical Access Hospitals,Government - Local
+19622,MAYO CLINIC HEALTH SYSTEM-NEW PRAGUE,301 2ND STREET NORTHEAST,NEW PRAGUE,MN,56071,SCOTT,(952) 758-4431,Critical Access Hospitals,Voluntary non-profit - Private
+34093,PHYSICIANS BEHAVIORAL HOSPITAL,2025 DESOTO ST,SHREVEPORT,LA,71103,CADDO,(318) 550-0520,Psychiatric,Proprietary
+77542,SAINT THOMAS RUTHERFORD HOSPITAL,1700 MEDICAL CENTER PARKWAY,MURFREESBORO,TN,37129,RUTHERFORD,(615) 396-4100,Acute Care Hospitals,Voluntary non-profit - Church
+63003,NORTH ARKANSAS REGIONAL MEDICAL CENTER,620 NORTH MAIN STREET,HARRISON,AR,72601,BOONE,(870) 414-4000,Acute Care Hospitals,Voluntary non-profit - Other
+51445,MIZELL MEMORIAL HOSPITAL,702 N MAIN ST,OPP,AL,36467,COVINGTON,(334) 493-3541,Acute Care Hospitals,Voluntary non-profit - Private
+73755,ADVENTHEALTH OTTAWA,1301 S MAIN STREET,OTTAWA,KS,66067,FRANKLIN,(785) 229-8200,Acute Care Hospitals,Government - Local
+51053,EDWARD HOSPITAL,801 SOUTH WASHINGTON,NAPERVILLE,IL,60540,DU PAGE,(630) 527-3000,Acute Care Hospitals,Voluntary non-profit - Private
+45759,PROVIDENCE ST MARY MEDICAL CENTER,401 W POPLAR ST,WALLA WALLA,WA,99362,WALLA WALLA,(509) 522-5900,Acute Care Hospitals,Voluntary non-profit - Private
+24843,CENTENNIAL HILLS HOSPITAL MEDICAL CENTER,6900 N DURANGO DR,LAS VEGAS,NV,89149,CLARK,(702) 835-9700,Acute Care Hospitals,Proprietary
+93374,HARBOR BEACH COMMUNITY HOSPITAL,210 S FIRST ST,HARBOR BEACH,MI,48441,HURON,(989) 479-3201,Critical Access Hospitals,Voluntary non-profit - Private
+33712,MINIDOKA MEMORIAL HOSPITAL,1224 8TH STREET,RUPERT,ID,83350,MINIDOKA,(208) 436-0481,Critical Access Hospitals,Government - Local
+58156,COMMUNITY HOSPITAL EAST,1500 N RITTER AVE,INDIANAPOLIS,IN,46219,MARION,(317) 355-5411,Acute Care Hospitals,Voluntary non-profit - Private
+71963,BAYLOR SCOTT AND WHITE ORTHOPEDIC AND SPINE HOSPI,707 HIGHLANDER BLVD,ARLINGTON,TX,76015,TARRANT,(817) 549-2364,Acute Care Hospitals,Proprietary
+18394,COASTAL CAROLINA HOSPITAL,1000 MEDICAL CENTER DRIVE,HARDEEVILLE,SC,29927,JASPER,(843) 784-8182,Acute Care Hospitals,Proprietary
+12231,MCLAREN BAY REGION,1900 COLUMBUS AVE,BAY CITY,MI,48708,BAY,(989) 894-3000,Acute Care Hospitals,Voluntary non-profit - Private
+67370,MERCY HOSPITAL WALDRON,1341 WEST SIXTH STREET,WALDRON,AR,72958,SCOTT,(479) 637-4135,Critical Access Hospitals,Voluntary non-profit - Private
+49678,LIMA MEMORIAL HEALTH SYSTEM,1001 BELLEFONTAINE AVENUE,LIMA,OH,45804,ALLEN,(419) 226-3335,Acute Care Hospitals,Voluntary non-profit - Other
+10390,HEALTH CENTRAL,10000 W COLONIAL DR,OCOEE,FL,34761,ORANGE,(407) 296-1820,Acute Care Hospitals,Government - State
+94091,LINCOLN MEDICAL & MENTAL HEALTH CENTER,234 EAST 149TH STREET,BRONX,NY,10451,BRONX,(718) 579-5000,Acute Care Hospitals,Government - Local
+42967,COLQUITT REGIONAL MEDICAL CENTER,3131 THOMASVILLE HWY BOX 40,MOULTRIE,GA,31768,COLQUITT,(229) 985-3420,Acute Care Hospitals,Government - Hospital District or Authority
+18657,METHODIST HOSPITAL,7700 FLOYD CURL DR,SAN ANTONIO,TX,78229,BEXAR,(210) 575-4000,Acute Care Hospitals,Proprietary
+17595,CUMBERLAND MEDICAL CENTER,421 S MAIN ST,CROSSVILLE,TN,38555,CUMBERLAND,(931) 484-9511,Acute Care Hospitals,Voluntary non-profit - Private
+45258,TEXAS INSTITUTE FOR SURGERY AT PRESBYTERIAN HOSPIT,7115 GREENVILLE AVENUE SUITE 100,DALLAS,TX,75231,DALLAS,(214) 647-5300,Acute Care Hospitals,Proprietary
+37535,VICTOR VALLEY GLOBAL MEDICAL CENTER,15248 11TH ST,VICTORVILLE,CA,92392,SAN BERNARDINO,(760) 245-8691,Acute Care Hospitals,Voluntary non-profit - Private
+65973,WENTWORTH-DOUGLASS HOSPITAL,789 CENTRAL AVE,DOVER,NH,3820,STRAFFORD,(603) 740-2580,Acute Care Hospitals,Voluntary non-profit - Private
+20852,NOVANT HEALTH ROWAN MEDICAL CENTER,612 MOCKSVILLE AVE,SALISBURY,NC,28144,ROWAN,(704) 210-5000,Acute Care Hospitals,Voluntary non-profit - Private
+82060,UNIVERSITY OF MD HARFORD MEMORIAL HOSPITAL,501 SOUTH  UNION AVENUE,HAVRE DE GRACE,MD,21078,HARFORD,(443) 643-3303,Acute Care Hospitals,Voluntary non-profit - Private
+74319,WAR MEMORIAL HOSPITAL INC,1 HEALTHY WAY,BERKELEY SPRINGS,WV,25411,MORGAN,(304) 258-1234,Critical Access Hospitals,Voluntary non-profit - Private
+33247,HAZEL HAWKINS MEMORIAL HOSPITAL,911 SUNSET DRIVE,HOLLISTER,CA,95023,SAN BENITO,(831) 637-5711,Acute Care Hospitals,Government - Hospital District or Authority
+59431,TORRANCE STATE HOSPITAL,121 LONGVIEW DRIVE,TORRANCE,PA,15779,WESTMORELAND,(724) 459-8000,Psychiatric,Government - State
+80740,HEALTH ALLIANCE - CLINTON HOSPITAL,60 HOSPITAL ROAD,LEOMINSTER,MA,1453,WORCESTER,(978) 466-2000,Acute Care Hospitals,Voluntary non-profit - Other
+73087,"HUMBLE SURGICAL HOSPITAL, LLC",1475 FM 1960 BYPASS ROAD EAST,HUMBLE,TX,77338,HARRIS,(281) 964-2100,Acute Care Hospitals,Physician
+66577,ALHAMBRA HOSPITAL MEDICAL CENTER,100 S RAYMOND AVE,ALHAMBRA,CA,91801,LOS ANGELES,(626) 570-1606,Acute Care Hospitals,Proprietary
+94380,SSM HEALTH ST MARY'S HOSPITAL - MADISON,700 SOUTH PARK ST,MADISON,WI,53715,DANE,(608) 251-6100,Acute Care Hospitals,Voluntary non-profit - Private
+34227,SENTARA VIRGINIA BEACH GENERAL HOSPITAL,1060 FIRST COLONIAL ROAD,VIRGINIA BEACH,VA,23454,VIRGINIA BEACH CITY,(757) 395-8000,Acute Care Hospitals,Voluntary non-profit - Other
+86386,MERCY HOSPITAL FORT SMITH,7301 ROGERS AVE,FORT SMITH,AR,72903,SEBASTIAN,(479) 314-6000,Acute Care Hospitals,Voluntary non-profit - Private
+89104,ST VINCENT'S CHILTON,2030 LAY DAM ROAD,CLANTON,AL,35045,CHILTON,(205) 258-4400,Acute Care Hospitals,Voluntary non-profit - Church
+36913,AURORA CHARTER OAK,1161 E COVINA BLVD,COVINA,CA,91724,LOS ANGELES,(626) 966-1632,Psychiatric,Proprietary
+53173,ALLEGHENY VALLEY HOSPITAL,1301 CARLISLE ST,NATRONA,PA,15065,ALLEGHENY,(412) 224-5100,Acute Care Hospitals,Voluntary non-profit - Other
+28187,ST CHARLES PRINEVILLE,384 SE COMBS FLAT ROAD,PRINEVILLE,OR,97754,CROOK,(541) 447-6254,Critical Access Hospitals,Voluntary non-profit - Private
+48458,HENRY COUNTY HEALTH CENTER,407 S WHITE ST,MOUNT PLEASANT,IA,52641,HENRY,(319) 385-3141,Critical Access Hospitals,Government - Local
+82325,LAKELAND REGIONAL MEDICAL CENTER,1324 LAKELAND HILLS BLVD,LAKELAND,FL,33805,POLK,(863) 687-1100,Acute Care Hospitals,Voluntary non-profit - Private
+61353,BANNER-UNIVERSITY MEDICAL CENTER SOUTH CAMPUS,2800 EAST AJO WAY,TUCSON,AZ,85713,PIMA,(520) 874-2000,Acute Care Hospitals,Voluntary non-profit - Private
+77257,SAINT LUKES NORTH HOSPITAL,5830 N W BARRY ROAD,KANSAS CITY,MO,64154,PLATTE,(816) 891-6000,Acute Care Hospitals,Voluntary non-profit - Private
+61467,ST CLARE HOSPITAL,11315 BRIDGEPORT WAY S W,LAKEWOOD,WA,98499,PIERCE,(253) 588-1711,Acute Care Hospitals,Voluntary non-profit - Church
+84464,SHRINERS HOSPITALS FOR CHILDREN,950 WEST FARIS ROAD,GREENVILLE,SC,29605,GREENVILLE,(864) 271-3444,Childrens,Voluntary non-profit - Private
+69404,DINI-TOWNSEND HOSPITAL AT NNMH,480 GALLETTI WAY,SPARKS,NV,89431,WASHOE,(775) 688-2001,Psychiatric,Government - State
+35418,OPELOUSAS GENERAL HEALTH SYSTEM,539 EAST PRUDHOMME STREET,OPELOUSAS,LA,70570,ST. LANDRY,(337) 948-3011,Acute Care Hospitals,Government - Hospital District or Authority
+65429,MEDICAL CENTER BARBOUR,820 W WASHINGTON ST,EUFAULA,AL,36027,BARBOUR,(334) 688-7271,Acute Care Hospitals,Government - Hospital District or Authority
+34425,HARRIS HEALTH SYSTEM,2525 HOLLY HALL,HOUSTON,TX,77054,HARRIS,(713) 566-6417,Acute Care Hospitals,Government - Hospital District or Authority
+62410,PRISMA HEALTH BAPTIST EASLEY HOSPITAL,200 FLEETWOOD DRIVE,EASLEY,SC,29640,PICKENS,(864) 442-7606,Acute Care Hospitals,Voluntary non-profit - Private
+37033,MEDICINE LODGE MEMORIAL HOSPITAL,710 N WALNUT STREET,MEDICINE LODGE,KS,67104,BARBER,(620) 886-3771,Critical Access Hospitals,Government - Hospital District or Authority
+63173,LALLIE KEMP MEDICAL CENTER,52579 HIGHWAY 51 SOUTH,INDEPENDENCE,LA,70443,TANGIPAHOA,(985) 878-9421,Critical Access Hospitals,Government - State
+46574,CHI HEALTH IMMANUEL,6901 NORTH 72ND ST,OMAHA,NE,68122,DOUGLAS,(402) 572-2121,Acute Care Hospitals,Voluntary non-profit - Private
+22362,"SIERRA VISTA HOSPITAL, INC",8001 BRUCEVILLE ROAD,SACRAMENTO,CA,95823,SACRAMENTO,(916) 423-2000,Psychiatric,Proprietary
+79692,WINDOM AREA HEALTH,"2150 HOSPITAL DRIVE, PO BOX 339",WINDOM,MN,56101,COTTONWOOD,(507) 831-2400,Critical Access Hospitals,Government - Local
+25166,CAVALIER COUNTY MEMORIAL HOSPITAL ASSOCIATION,909 2ND ST,LANGDON,ND,58249,CAVALIER,(701) 256-6100,Critical Access Hospitals,Voluntary non-profit - Private
+19469,MEMORIAL HOSPITAL,1110 NORTH SARAH DEWITT DRIVE,GONZALES,TX,78629,GONZALES,(830) 672-7581,Acute Care Hospitals,Government - Hospital District or Authority
+73475,MISSION HOSPITAL MCDOWELL,430 RANKIN DRIVE P O BOX 730,MARION,NC,28752,MC DOWELL,(828) 659-5000,Acute Care Hospitals,Voluntary non-profit - Private
+30732,PARKVIEW LAGRANGE HOSPITAL,207 N TOWNLINE RD,LAGRANGE,IN,46761,LAGRANGE,(260) 463-9000,Critical Access Hospitals,Voluntary non-profit - Private
+33346,"ASOCIACION HOSPITAL DEL MAESTRO, INC",SERGIO CUEVAS BUSTAMANTE STREET 550,SAN JUAN,PR,936,SAN JUAN,(787) 758-6420,Acute Care Hospitals,Voluntary non-profit - Other
+36827,DESOTO REGIONAL HEALTH SYSTEM,207 JEFFERSON STREET,MANSFIELD,LA,71052,DE SOTO,(318) 872-4610,Acute Care Hospitals,Voluntary non-profit - Private
+16348,HAMILTON MEMORIAL HOSPITAL DISTRICT,611 S MARSHALL AVENUE,MCLEANSBORO,IL,62859,HAMILTON,(618) 643-2361,Critical Access Hospitals,Government - Hospital District or Authority
+16655,NH Twenty Nine Palms,1145 Sturgis Road,Twentynine Palms,CA,92278,SAN BERNARDINO,(760) 830-2190,Acute Care - Department of Defense,Department of Defense
+65664,PHOEBE SUMTER MEDICAL CENTER,126 HIGHWAY 280 W,AMERICUS,GA,31719,SUMTER,(229) 931-1280,Acute Care Hospitals,Government - Hospital District or Authority
+65044,PROVIDENCE HOOD RIVER MEMORIAL HOSPITAL,810 12TH STREET,HOOD RIVER,OR,97031,HOOD RIVER,(541) 386-3911,Critical Access Hospitals,Voluntary non-profit - Church
+73554,MERCYONE DES MOINES MEDICAL CENTER,1111 6TH AVE,DES MOINES,IA,50314,POLK,(515) 247-3121,Acute Care Hospitals,Voluntary non-profit - Private
+69678,GREENE MEMORIAL HOSPITAL,1141 NORTH MONROE DRIVE,XENIA,OH,45385,GREENE,(937) 352-2000,Acute Care Hospitals,Voluntary non-profit - Private
+74807,SAINT THOMAS MIDTOWN HOSPITAL,2000 CHURCH ST,NASHVILLE,TN,37236,DAVIDSON,(615) 284-5555,Acute Care Hospitals,Voluntary non-profit - Private
+59028,NEW LONDON HOSPITAL,273 COUNTY ROAD,NEW LONDON,NH,3257,MERRIMACK,(603) 526-2911,Critical Access Hospitals,Voluntary non-profit - Private
+59909,WEST FELICIANA PARISH HOSPITAL,"5266 COMMERCE STREET, BUILDING B",SAINT FRANCISVILLE,LA,70775,WEST FELICIANA,(225) 635-3811,Critical Access Hospitals,Government - Hospital District or Authority
+60163,SKY RIDGE MEDICAL CENTER,10101 RIDGEGATE PARKWAY,LONE TREE,CO,80124,DOUGLAS,(720) 225-1000,Acute Care Hospitals,Voluntary non-profit - Other
+16673,UT HEALTH EAST TEXAS TYLER REGIONAL HOSPITAL,1000 SOUTH BECKHAM AVE,TYLER,TX,75701,SMITH,(903) 597-0351,Acute Care Hospitals,Voluntary non-profit - Private
+69137,WILLIAMSBURG REGIONAL HOSPITAL,500 NELSON BOULEVARD,KINGSTREE,SC,29556,WILLIAMSBURG,(843) 355-8888,Critical Access Hospitals,Voluntary non-profit - Private
+91522,MARSHALL COUNTY HOSPITAL,615 OLD SYMSONIA ROAD,BENTON,KY,42025,MARSHALL,(270) 527-4800,Critical Access Hospitals,Government - Hospital District or Authority
+16677,ANGEL MEDICAL CENTER,120 RIVERVIEW ST PO BOX 1209,FRANKLIN,NC,28734,MACON,(828) 524-8411,Critical Access Hospitals,Voluntary non-profit - Private
+65139,SETON SHOAL CREEK HOSPITAL,3501 MILLS AVE,AUSTIN,TX,78731,TRAVIS,(512) 324-2000,Psychiatric,Voluntary non-profit - Private
+24970,PORT ST LUCIE HOSPITAL,2550 SE WALTON RD,PORT SAINT LUCIE,FL,34952,ST. LUCIE,(772) 335-0400,Psychiatric,Proprietary
+90964,HOLY FAMILY HOSPITAL,70 EAST STREET,METHUEN,MA,1844,ESSEX,(978) 687-0156,Acute Care Hospitals,Proprietary
+46042,MEMORIAL HOSPITAL OF GARDENA,1145 W REDONDO BEACH BLVD,GARDENA,CA,90247,LOS ANGELES,(310) 532-4200,Acute Care Hospitals,Proprietary
+61568,SHARP MESA VISTA HOSPITAL,7850 VISTA HILL AVENUE,SAN DIEGO,CA,92123,SAN DIEGO,(858) 278-4110,Psychiatric,Voluntary non-profit - Private
+38262,CHRISTUS GOOD SHEPHERD MEDICAL CENTER,700 E MARSHALL AVE,LONGVIEW,TX,75601,GREGG,(903) 927-6712,Acute Care Hospitals,Voluntary non-profit - Private
+21323,BON SECOURS RICHMOND COMMUNITY HOSPITAL,1500 N. 28TH STREET,RICHMOND,VA,23223,RICHMOND CITY,(804) 225-1700,Acute Care Hospitals,Voluntary non-profit - Private
+37056,YORK GENERAL HOSPITAL,2222 LINCOLN AVE,YORK,NE,68467,YORK,(402) 362-6671,Critical Access Hospitals,Voluntary non-profit - Private
+52171,MORRISTOWN MEDICAL CENTER,100 MADISON AVE,MORRISTOWN,NJ,7960,MORRIS,(973) 971-5000,Acute Care Hospitals,Voluntary non-profit - Private
+67506,GARFIELD COUNTY HEALTH CENTER,332 LEAVITT AVE,JORDAN,MT,59337,GARFIELD,(406) 557-2500,Critical Access Hospitals,Government - Local
+79856,"GRANT-BLACKFORD MENTAL HEALTH, INC",505 WABASH AVE,MARION,IN,46952,GRANT,(765) 662-3971,Psychiatric,Voluntary non-profit - Private
+73120,JACKSON HEALTHCARE CENTER,1013 S WELLS,EDNA,TX,77957,JACKSON,(361) 782-7800,Critical Access Hospitals,Government - Hospital District or Authority
+37705,SABETHA COMMUNITY HOSPITAL,14TH & OREGON,SABETHA,KS,66534,NEMAHA,(785) 284-2121,Critical Access Hospitals,Voluntary non-profit - Private
+56948,SAINT MARY'S REGIONAL MEDICAL CENTER,235 W 6TH ST,RENO,NV,89503,WASHOE,(775) 770-3000,Acute Care Hospitals,Voluntary non-profit - Private
+11581,GEORGE C GRAPE COMMUNITY HOSPITAL,2959 US HIGHWAY 275,HAMBURG,IA,51640,FREMONT,(712) 382-1515,Critical Access Hospitals,Proprietary
+39001,THE HOSPITALS OF PROVIDENCE MEMORIAL CAMPUS,2001 N OREGON ST,EL PASO,TX,79902,EL PASO,(915) 577-6011,Acute Care Hospitals,Proprietary
+57980,NIX HEALTH CARE SYSTEM,"414 NAVARRO, SUITE 600",SAN ANTONIO,TX,78205,BEXAR,(210) 271-2188,Acute Care Hospitals,Proprietary
+40645,HOSPITAL PSIQUIATRICO METROPOLITANO CABO ROJO,108 MUNOZ RIVERA STREET,BO BALLAJA,PR,623,CABO ROJO,(787) 851-2025,Psychiatric,Proprietary
+45739,HIGHLAND COMMUNITY  HOSPITAL,130 HIGHLAND PKWY,PICAYUNE,MS,39466,PEARL RIVER,(601) 358-9400,Acute Care Hospitals,Government - Hospital District or Authority
+49954,ALLEGIANCE HEALTH CENTER OF MONROE,"3421 MEDICAL PARK DRIVE,",MONROE,LA,71203,OUACHITA,(318) 966-4686,Psychiatric,Proprietary
+73106,SAINT ANTHONY HOSPITAL,2875 WEST 19TH STREET,CHICAGO,IL,60623,COOK,(773) 521-1710,Acute Care Hospitals,Voluntary non-profit - Private
+36723,MEADOWVIEW REGIONAL MEDICAL CENTER,989 MEDICAL PARK DRIVE,MAYSVILLE,KY,41056,MASON,(606) 759-5311,Acute Care Hospitals,Proprietary
+39906,ST JOSEPH'S HOSPITAL,555 ST JOSEPH'S BLVD,ELMIRA,NY,14901,CHEMUNG,(607) 733-6541,Acute Care Hospitals,Voluntary non-profit - Private
+69028,OUR COMMUNITY HOSPITAL,921 JUNIOR HIGH ROAD,SCOTLAND NECK,NC,27874,HALIFAX,(252) 826-4144,Critical Access Hospitals,Voluntary non-profit - Private
+46068,ST MARY MEDICAL CENTER,LANGHORNE-NEWTOWN RD,LANGHORNE,PA,19047,BUCKS,(215) 750-2003,Acute Care Hospitals,Voluntary non-profit - Private
+70789,REDLANDS COMMUNITY HOSPITAL,350 TERRACINA BLVD,REDLANDS,CA,92373,SAN BERNARDINO,(909) 335-5500,Acute Care Hospitals,Voluntary non-profit - Private
+19806,ROBERT PACKER HOSPITAL,ONE GUTHRIE SQUARE,SAYRE,PA,18840,BRADFORD,(570) 888-6666,Acute Care Hospitals,Voluntary non-profit - Private
+29005,KANSAS SURGERY & RECOVERY CENTER,2770 NORTH WEBB ROAD,WICHITA,KS,67226,SEDGWICK,(316) 634-0090,Acute Care Hospitals,Physician
+76926,BEDFORD MEMORIAL HOSPITAL,1613 OAKWOOD STREET,BEDFORD,VA,24523,BEDFORD,(434) 200-6366,Acute Care Hospitals,Voluntary non-profit - Private
+34504,WILLS MEMORIAL HOSPITAL,120 GORDON STREET,WASHINGTON,GA,30673,WILKES,(706) 678-9212,Critical Access Hospitals,Government - Hospital District or Authority
+56083,SEASIDE HEALTH SYSTEM,4363 CONVENTION STREET,BATON ROUGE,LA,70806,E. BATON ROUGE,(225) 522-4076,Psychiatric,Government - Federal
+36720,STRAUB CLINIC AND HOSPITAL,888 SO KING STREET,HONOLULU,HI,96813,HONOLULU,(808) 522-4000,Acute Care Hospitals,Proprietary
+27411,KOHALA HOSPITAL,54-383 HOSPITAL ROAD,KAPAAU,HI,96755,HAWAII,(808) 889-6211,Critical Access Hospitals,Government - State
+44580,LOMA LINDA UNIVERSITY MEDICAL CENTER-MURRIETA,28062 BAXTER ROAD,MURRIETA,CA,92563,RIVERSIDE,(951) 290-4000,Acute Care Hospitals,Voluntary non-profit - Private
+18344,MAYO CLINIC HOSPITAL,5777 EAST MAYO BOULEVARD,PHOENIX,AZ,85054,MARICOPA,(480) 342-4201,Acute Care Hospitals,Voluntary non-profit - Private
+41773,SCOTT & WHITE HOSPITAL BRENHAM,700 MEDICAL PARKWAY,BRENHAM,TX,77833,WASHINGTON,(979) 836-6173,Acute Care Hospitals,Voluntary non-profit - Private
+56206,FORT HAMILTON HUGHES MEMORIAL HOSPITAL,630 EATON AVENUE,HAMILTON,OH,45013,BUTLER,(513) 867-2000,Acute Care Hospitals,Voluntary non-profit - Private
+12043,UNIVERSITY OF CALIFORNIA DAVIS MEDICAL CENTER,2315 STOCKTON BOULEVARD,SACRAMENTO,CA,95817,SACRAMENTO,(916) 734-2011,Acute Care Hospitals,Voluntary non-profit - Other
+64823,BLAKE MEDICAL CENTER,2020 59TH ST W,BRADENTON,FL,34209,MANATEE,(941) 792-6611,Acute Care Hospitals,Proprietary
+18443,SOUTH MISSISSIPPI STATE HOSPITAL,823 HIGHWAY 589,PURVIS,MS,39475,LAMAR,(601) 794-0100,Psychiatric,Government - State
+26791,NOVANT HEALTH UVA HEALTH SYSTEM CULPEPER MED CENTE,501 SUNSET LANE,CULPEPER,VA,22701,CULPEPER,(540) 829-4100,Acute Care Hospitals,Voluntary non-profit - Other
+82178,SAINT JOSEPH REGIONAL MEDICAL CENTER,5215 HOLY CROSS PKWY,MISHAWAKA,IN,46545,ST. JOSEPH,(574) 335-5000,Acute Care Hospitals,Voluntary non-profit - Private
+83421,LEWISGALE MEDICAL CENTER,1900 ELECTRIC ROAD,SALEM,VA,24153,SALEM CITY,(540) 776-4000,Acute Care Hospitals,Voluntary non-profit - Private
+80849,MILBANK AREA HOSPITAL/AVERA HEALTH,301 FLYNN DRIVE,MILBANK,SD,57252,GRANT,(605) 432-4538,Critical Access Hospitals,Voluntary non-profit - Private
+36188,JORDAN VALLEY MEDICAL CENTER,3580 WEST 9000 SOUTH,WEST JORDAN,UT,84088,SALT LAKE,(801) 561-8888,Acute Care Hospitals,Voluntary non-profit - Other
+73433,PALESTINE REGIONAL MEDICAL CENTER,2900 S LOOP 256,PALESTINE,TX,75801,ANDERSON,(903) 731-1000,Acute Care Hospitals,Proprietary
+60859,LAKES REGION GENERAL HOSPITAL,80 HIGHLAND ST,LACONIA,NH,3246,BELKNAP,(603) 524-3211,Acute Care Hospitals,Voluntary non-profit - Private
+69597,FERRY COUNTY MEMORIAL HOSPITAL,36 KLONDIKE ROAD,REPUBLIC,WA,99166,FERRY,(509) 775-3333,Critical Access Hospitals,Government - Hospital District or Authority
+88140,HARTFORD HOSPITAL,80 SEYMOUR STREET,HARTFORD,CT,6102,HARTFORD,(860) 545-5000,Acute Care Hospitals,Voluntary non-profit - Private
+58011,LAKELAND HOSPITAL WATERVLIET,400 MEDICAL PARK DR,WATERVLIET,MI,49098,BERRIEN,(269) 463-3111,Acute Care Hospitals,Voluntary non-profit - Private
+53518,VIDANT DUPLIN  HOSPITAL,401 N MAIN ST,KENANSVILLE,NC,28349,DUPLIN,(910) 296-0941,Acute Care Hospitals,Government - Local
+29227,ST LOUIS PSYCHIATRIC REHAB CENTER,5400 ARSENAL ST,SAINT LOUIS,MO,63139,ST. LOUIS,(314) 644-8000,Psychiatric,Government - State
+53164,"ARBOUR HOSPITAL, THE",49 ROBINWOOD AVENUE,BOSTON,MA,2130,SUFFOLK,(617) 522-4400,Psychiatric,Proprietary
+55885,KAISER PERMANENTE PSYCHIATRIC HEALTH FACILITY-SANT,3840 HOMESTEAD ROAD,SANTA CLARA,CA,95051,SANTA CLARA,(408) 851-4850,Psychiatric,Proprietary
+94046,MISSION REGIONAL MEDICAL CENTER,900 SOUTH BRYAN ROAD,MISSION,TX,78572,HIDALGO,(956) 323-9000,Acute Care Hospitals,Voluntary non-profit - Private
+73005,ST JAMES MERCY HOSPITAL,411 CANISTEO STREET,HORNELL,NY,14843,STEUBEN,(607) 324-8000,Acute Care Hospitals,Voluntary non-profit - Church
+54317,HERITAGE OAKS HOSPITAL,4250 AUBURN BLVD,SACRAMENTO,CA,95841,SACRAMENTO,(916) 489-3336,Psychiatric,Proprietary
+32344,COVINGTON COUNTY HOSPITAL CAH,701 SOUTH HOLLY AVENUE,COLLINS,MS,39428,COVINGTON,(601) 765-6711,Critical Access Hospitals,Government - Local
+25255,THE BURDETT CARE CENTER,2215 BURDETT AVE,TROY,NY,12180,RENSSELAER,(518) 271-3655,Acute Care Hospitals,Voluntary non-profit - Private
+80389,HUTCHINSON HEALTH,1095 HIGHWAY 15 SOUTH,HUTCHINSON,MN,55350,MC LEOD,(320) 234-5000,Acute Care Hospitals,Voluntary non-profit - Private
+79384,CHRISTUS SPOHN HOSPITAL ALICE,2500 E MAIN STREET,ALICE,TX,78332,JIM WELLS,(361) 661-8016,Acute Care Hospitals,Voluntary non-profit - Private
+43767,"KAISER FOUNDATION HOSPITAL, RIVERSIDE",10800 MAGNOLIA AVENUE,RIVERSIDE,CA,92505,RIVERSIDE,(951) 353-2000,Acute Care Hospitals,Voluntary non-profit - Other
+25920,CHENANGO MEMORIAL HOSPITAL,179 NORTH BROAD STREET,NORWICH,NY,13815,CHENANGO,(607) 337-4111,Acute Care Hospitals,Voluntary non-profit - Private
+94458,NORTHCOAST BEHAVIORAL HEALTHCARE NORTHFIELD CAMPUS,1756 SAGAMORE ROAD,NORTHFIELD,OH,44067,SUMMIT,(330) 467-7131,Psychiatric,Government - State
+71313,RUSK STATE HOSP,805 N DICKINSON DR,RUSK,TX,75785,CHEROKEE,(903) 683-3421,Psychiatric,Government - State
+47682,CLARK REGIONAL MEDICAL CENTER,175 HOSPITAL DRIVE,WINCHESTER,KY,40391,CLARK,(859) 737-8559,Acute Care Hospitals,Proprietary
+70383,SARAH D CULBERTSON MEMORIAL HOSPITAL,238 SOUTH CONGRESS STREET,RUSHVILLE,IL,62681,SCHUYLER,(217) 322-4321,Critical Access Hospitals,Government - Hospital District or Authority
+85072,ADVENTHEALTH TAMPA,3100 E FLETCHER AVE,TAMPA,FL,33613,HILLSBOROUGH,(813) 615-7200,Acute Care Hospitals,Voluntary non-profit - Private
+16773,SEYMOUR HOSPITAL,200 STADIUM DRIVE,SEYMOUR,TX,76380,BAYLOR,(940) 889-5572,Acute Care Hospitals,Government - Hospital District or Authority
+76964,OCHSNER MEDICAL CENTER-KENNER,180 WEST ESPLANADE AVENUE,KENNER,LA,70065,JEFFERSON,(504) 468-4806,Acute Care Hospitals,Voluntary non-profit - Private
+81402,SOUTHERN CALIFORNIA HOSPITAL AT HOLLYWOOD,6245 DE LONGPRE AVE,HOLLYWOOD,CA,90028,LOS ANGELES,(323) 462-2271,Acute Care Hospitals,Proprietary
+70619,BUTLER MEMORIAL HOSPITAL,ONE HOSPITAL WAY,BUTLER,PA,16001,BUTLER,(724) 283-6666,Acute Care Hospitals,Voluntary non-profit - Private
+43490,LEVI HOSPITAL,300 PROSPECT AVE,HOT SPRINGS,AR,71901,GARLAND,(501) 624-1281,Acute Care Hospitals,Voluntary non-profit - Private
+92545,KEARNEY REGIONAL MEDICAL CENTER,804 22ND AVENUE,KEARNEY,NE,68845,BUFFALO,(308) 455-3600,Acute Care Hospitals,Proprietary
+78032,SANFORD BAGLEY MEDICAL CENTER,203 4TH STREET NORTHWEST,BAGLEY,MN,56621,CLEARWATER,(218) 694-6501,Critical Access Hospitals,Voluntary non-profit - Private
+62817,SIOUX CENTER HEALTH,1101 9TH STREET SE,SIOUX CENTER,IA,51250,SIOUX,(712) 722-1271,Critical Access Hospitals,Voluntary non-profit - Private
+49823,LAKE BEHAVIORAL HOSPITAL,2615 W WASHINGTON ST,WAUKEGAN,IL,60085,LAKE,(847) 249-3900,Acute Care Hospitals,Proprietary
+48651,PENN HIGHLANDS ELK,763 JOHNSONBURG ROAD,SAINT MARYS,PA,15857,ELK,(814) 788-8000,Critical Access Hospitals,Voluntary non-profit - Private
+26680,EASTERN MAINE MEDICAL CENTER,PO BOX 404,BANGOR,ME,4401,PENOBSCOT,(207) 973-7000,Acute Care Hospitals,Voluntary non-profit - Private
+79773,MASSACHUSETTS GENERAL HOSPITAL,55 FRUIT STREET,BOSTON,MA,2114,SUFFOLK,(617) 726-2000,Acute Care Hospitals,Voluntary non-profit - Private
+63736,SWEETWATER HOSPITAL ASSOCIATION,304 WRIGHT ST,SWEETWATER,TN,37874,MONROE,(865) 213-8200,Acute Care Hospitals,Voluntary non-profit - Private
+89824,PIEDMONT COLUMBUS REGIONAL NORTHSIDE,100 FRIST COURT,COLUMBUS,GA,31909,MUSCOGEE,(706) 494-2101,Acute Care Hospitals,Proprietary
+76656,RESNICK NEUROPSYCHIATRIC HOSPITAL AT UCLA,150 MEDICAL PLAZA-RM-4230C,LOS ANGELES,CA,90095,LOS ANGELES,(310) 825-6962,Psychiatric,Government - State
+44825,ALBANY MEMORIAL HOSPITAL,600 NORTHERN BOULEVARD,ALBANY,NY,12204,ALBANY,(518) 471-3490,Acute Care Hospitals,Voluntary non-profit - Private
+64629,VALLEY HOSPITAL,3550 EAST PINCHOT AVENUE,PHOENIX,AZ,85018,MARICOPA,(602) 957-4000,Psychiatric,Voluntary non-profit - Other
+74493,INOVA ALEXANDRIA HOSPITAL,4320 SEMINARY RD,ALEXANDRIA,VA,22304,ALEXANDRIA CITY,(703) 504-3167,Acute Care Hospitals,Voluntary non-profit - Private
+77778,ADVENTIST HEALTH BAKERSFIELD,2615 CHESTER AVENUE,BAKERSFIELD,CA,93301,KERN,(661) 395-3000,Acute Care Hospitals,Voluntary non-profit - Private
+29951,MORRISTOWN HAMBLEN HOSPITAL ASSOCIATION,908 W 4TH NORTH ST,MORRISTOWN,TN,37814,HAMBLEN,(423) 586-4231,Acute Care Hospitals,Government - Local
+83258,RIDGEVIEW MEDICAL CENTER,500 SOUTH MAPLE STREET,WACONIA,MN,55387,CARVER,(952) 442-2191,Acute Care Hospitals,Voluntary non-profit - Private
+87477,PROVIDENCE KODIAK ISLAND MEDICAL CTR,1915 EAST REZANOF DRIVE,KODIAK,AK,99615,KODIAK ISLAND BOROUGH,(907) 486-9592,Critical Access Hospitals,Voluntary non-profit - Church
+68895,SILVER HILL HOSPITAL INC,208 VALLEY ROAD,NEW CANAAN,CT,6840,FAIRFIELD,(203) 966-3561,Psychiatric,Government - Federal
+72295,STARKE HOSPITAL,102 E CULVER RD,KNOX,IN,46534,STARKE,(574) 772-1102,Acute Care Hospitals,Proprietary
+19874,FLOYD MEDICAL CENTER,304 TURNER MCCALL BLVD P O BOX 233,ROME,GA,30162,FLOYD,(706) 509-6900,Acute Care Hospitals,Government - Hospital District or Authority
+20442,"MEMORIAL HOSPITAL, THE",750 HOSPITAL LOOP,CRAIG,CO,81625,MOFFAT,(970) 824-9411,Critical Access Hospitals,Government - Local
+57984,BON SECOURS-ST FRANCIS XAVIER HOSPITAL,2095 HENRY TECKLENBURG DRIVE,CHARLESTON,SC,29414,CHARLESTON,(843) 402-1006,Acute Care Hospitals,Voluntary non-profit - Private
+69675,JOHNSON COUNTY HOSPITAL,202 HIGH ST,TECUMSEH,NE,68450,JOHNSON,(402) 335-3361,Critical Access Hospitals,Government - Local
+31893,MERCY CATHOLIC MEDICAL CENTER- MERCY FITZGERALD,1500 LANSDOWNE  AVE,DARBY,PA,19023,DELAWARE,(215) 237-4000,Acute Care Hospitals,Voluntary non-profit - Private
+58876,UNIVERSITY OF MISSISSIPPI MEDICAL CENTER- GRENADA,960 AVENT DRIVE,GRENADA,MS,38901,GRENADA,(662) 227-7000,Acute Care Hospitals,Government - State
+83245,LAKE CHARLES MEMORIAL HOSPITAL,1701 OAK PARK BLVD,LAKE CHARLES,LA,70601,CALCASIEU,(337) 494-3000,Acute Care Hospitals,Voluntary non-profit - Private
+54694,COMMUNITY MEDICAL CENTER,99 RT 37 WEST,TOMS RIVER,NJ,8755,OCEAN,(732) 557-8000,Acute Care Hospitals,Voluntary non-profit - Private
+60683,TRINITY HOSPITAL,60 EASTER AVENUE,WEAVERVILLE,CA,96093,TRINITY,(530) 623-5541,Critical Access Hospitals,Government - Hospital District or Authority
+68933,SOUTHWEST GENERAL HOSPITAL,7400 BARLITE BLVD,SAN ANTONIO,TX,78224,BEXAR,(210) 921-2000,Acute Care Hospitals,Physician
+58270,LOS ROBLES HOSPITAL & MEDICAL CENTER,215 W JANSS RD,THOUSAND OAKS,CA,91360,VENTURA,(805) 497-2727,Acute Care Hospitals,Proprietary
+21082,RUSSELL COUNTY HOSPITAL,58 CARROLL STREET,LEBANON,VA,24266,RUSSELL,(276) 883-8100,Acute Care Hospitals,Voluntary non-profit - Private
+14316,BATES COUNTY MEMORIAL HOSPITAL,615 W NURSERY ST,BUTLER,MO,64730,BATES,(660) 200-7000,Acute Care Hospitals,Government - Local
+92928,ASCENSION ST CLARES HOSPITAL,3400 MINISTRY PARKWAY,WESTON,WI,54476,MARATHON,(715) 393-3000,Acute Care Hospitals,Voluntary non-profit - Private
+30130,NORTH FLORIDA REGIONAL MEDICAL CENTER,6500 NEWBERRY RD,GAINESVILLE,FL,32605,ALACHUA,(352) 333-4100,Acute Care Hospitals,Proprietary
+52965,PENN HIGHLANDS CLEARFIELD,809 TURNPIKE AVE,CLEARFIELD,PA,16830,CLEARFIELD,(814) 768-2497,Acute Care Hospitals,Voluntary non-profit - Other
+38422,JACKSON PARK HOSPITAL,7531 S STONY ISLAND AVE,CHICAGO,IL,60649,COOK,(773) 947-7500,Acute Care Hospitals,Voluntary non-profit - Private
+13288,ST JOHNS REGIONAL MEDICAL CENTER,1600 N ROSE AVE,OXNARD,CA,93030,VENTURA,(805) 988-2500,Acute Care Hospitals,Voluntary non-profit - Private
+53417,BANNER - UNIVERSITY MEDICAL CENTER PHOENIX,1111 EAST MCDOWELL ROAD,PHOENIX,AZ,85006,MARICOPA,(602) 239-2000,Acute Care Hospitals,Voluntary non-profit - Other
+72849,RJ BLACKLEY ALCOHOL AND DRUG ABUSE TREATMENT CTR,"BLDG 29, 30 BARRETT BLDG, 100 H STREET",BUTNER,NC,27509,GRANVILLE,(919) 575-7240,Psychiatric,Government - State
+75630,FRANCISCAN HEALTH CRAWFORDSVILLE,1710 LAFAYETTE RD,CRAWFORDSVILLE,IN,47933,MONTGOMERY,(765) 362-2800,Acute Care Hospitals,Voluntary non-profit - Church
+66944,SABINE COUNTY HOSPITAL,"PO BOX 750, 2301 HWY 83 W",HEMPHILL,TX,75948,SABINE,(409) 787-3300,Critical Access Hospitals,Proprietary
+84645,SPECTRUM HEALTH LUDINGTON HOSPITAL,ONE N ATKINSON DRIVE,LUDINGTON,MI,49431,MASON,(231) 843-2591,Acute Care Hospitals,Voluntary non-profit - Private
+27837,Martin ACH (FT Benning),7950 Martin Loop,Fort Benning,GA,31905,CHATTAHOOCHEE,(762) 408-2604,Acute Care - Department of Defense,Department of Defense
+20644,MARCUS DALY MEMORIAL HOSPITAL - CAH,1200 WESTWOOD DR,HAMILTON,MT,59840,RAVALLI,(406) 375-4408,Critical Access Hospitals,Voluntary non-profit - Private
+38666,NEMOURS CHILDREN'S HOSPITAL,13535 NEMOURS PKWY,ORLANDO,FL,32827,ORANGE,(407) 567-4000,Childrens,Voluntary non-profit - Private
+28648,FALMOUTH HOSPITAL,67 & 100 TER HEUN DRIVE,FALMOUTH,MA,2540,BARNSTABLE,(508) 548-5300,Acute Care Hospitals,Voluntary non-profit - Private
+91357,HOSPITAL SAN CARLOS BORROMEO,CALLE CONCEPCION VERA AYALA #550 S,MOCA,PR,676,MOCA,(787) 877-8000,Acute Care Hospitals,Voluntary non-profit - Private
+39962,COMMUNITY BEHAVIORAL HEALTH HOSPITAL - BAXTER,14241 GRAND OAKS DRIVE,BAXTER,MN,56425,CROW WING,(218) 316-3101,Psychiatric,Government - State
+39514,ST JOSEPH HOSPITAL,4295 HEMPSTEAD TURNPIKE,BETHPAGE,NY,11714,NASSAU,(516) 579-6000,Acute Care Hospitals,Voluntary non-profit - Private
+94445,MERIT HEALTH CENTRAL,1850 CHADWICK DR,JACKSON,MS,39204,HINDS,(601) 376-1000,Acute Care Hospitals,Proprietary
+57416,COVENANT HOSPITAL LEVELLAND,1900 COLLEGE AVE,LEVELLAND,TX,79336,HOCKLEY,(806) 894-4963,Acute Care Hospitals,Voluntary non-profit - Private
+69379,THE RIDGE BEHAVIORAL HEALTH SYSTEM,3050 RIO DOSA DRIVE,LEXINGTON,KY,40509,FAYETTE,(859) 269-2325,Psychiatric,Proprietary
+83046,MARIAN REGIONAL MEDICAL CENTER,1400 E CHURCH ST,SANTA MARIA,CA,93454,SANTA BARBARA,(805) 739-3100,Acute Care Hospitals,Voluntary non-profit - Church
+70027,ST VINCENT GENERAL HOSPITAL DISTRICT,822 W 4TH ST,LEADVILLE,CO,80461,LAKE,(719) 486-0230,Critical Access Hospitals,Government - Hospital District or Authority
+29019,SAINT THOMAS HOSPITAL FOR SPECIALTY SURGERY,2011 MURPHY AVENUE,NASHVILLE,TN,37203,DAVIDSON,(615) 515-8200,Acute Care Hospitals,Voluntary non-profit - Other
+61457,PATIENTS' HOSPITAL OF REDDING,2900 EUREKA WAY,REDDING,CA,96001,SHASTA,(530) 225-8700,Acute Care Hospitals,Physician
+66236,SUNNYVIEW HOSPITAL AND REHABILITATION CENTER,1270 BELMONT AVENUE,SCHENECTADY,NY,12308,SCHENECTADY,(518) 386-3580,Acute Care Hospitals,Voluntary non-profit - Private
+13663,MERCYONE OAKLAND MEDICAL CENTER,601 EAST SECOND ST,OAKLAND,NE,68045,BURT,(402) 685-5601,Critical Access Hospitals,Voluntary non-profit - Private
+55059,MERCY HEALTH SYSTEM CORP,1000 MINERAL POINT AVE,JANESVILLE,WI,53548,ROCK,(608) 756-6080,Acute Care Hospitals,Voluntary non-profit - Private
+47427,SOUTH BAY HOSPITAL,4016 SUN CITY CENTER BLVD,SUN CITY CENTER,FL,33573,HILLSBOROUGH,(813) 634-3301,Acute Care Hospitals,Proprietary
+59764,COVENANT CHILDRENS HOSPITAL,4015 22ND PLACE,LUBBOCK,TX,79410,LUBBOCK,(806) 725-7975,Childrens,Voluntary non-profit - Private
+68600,BARTON MEMORIAL HOSPITAL,2170 SOUTH AVENUE,SOUTH LAKE TAHOE,CA,96150,EL DORADO,(530) 541-3420,Acute Care Hospitals,Voluntary non-profit - Private
+71082,COASTAL HARBOR TREATMENT CENTER,1150 CORNELL AVE,SAVANNAH,GA,31406,CHATHAM,(912) 354-3911,Psychiatric,Proprietary
+50640,MEADOWWOOD BEHAVIORAL HEALTH SYSTEM,575 SOUTH DUPONT HIGHWAY,NEW CASTLE,DE,19720,NEW CASTLE,(302) 328-3330,Psychiatric,Proprietary
+31912,THE ORTHOPEDIC SPECIALTY HOSPITAL,5848 SOUTH 300 EAST,MURRAY,UT,84107,SALT LAKE,(801) 314-4100,Acute Care Hospitals,Voluntary non-profit - Private
+87960,SAINT THOMAS RIVER PARK HOSPITAL,1559 SPARTA STREET,MC MINNVILLE,TN,37110,WARREN,(931) 815-4101,Acute Care Hospitals,Voluntary non-profit - Private
+80834,BETHESDA HOSPITAL EAST,2815 S SEACREST BLVD,BOYNTON BEACH,FL,33435,PALM BEACH,(561) 737-7733,Acute Care Hospitals,Voluntary non-profit - Private
+49080,INDIANA UNIVERSITY HEALTH TIPTON HOSPITAL INC,1000 S MAIN ST,TIPTON,IN,46072,TIPTON,(765) 675-8500,Critical Access Hospitals,Voluntary non-profit - Other
+13324,SWEDISH ISSAQUAH,751 NE BLAKELY DR,ISSAQUAH,WA,98029,KING,(425) 313-4000,Acute Care Hospitals,Voluntary non-profit - Private
+47508,HARBORVIEW MEDICAL CENTER,325 9TH AVENUE,SEATTLE,WA,98104,KING,(206) 731-3000,Acute Care Hospitals,Government - Local
+45189,PRISMA HEALTH HILLCREST HOSPITAL,741 SOUTH EAST MAIN STREET,SIMPSONVILLE,SC,29681,GREENVILLE,(864) 454-6100,Acute Care Hospitals,Voluntary non-profit - Private
+71957,GEORGE REGIONAL HEALTH SYSTEM,859 WINTER STREET,LUCEDALE,MS,39452,GEORGE,(601) 947-3161,Acute Care Hospitals,Government - Local
+22373,HOLY CROSS HOSPITAL,1171 WEST TARGET RANGE ROAD,NOGALES,AZ,85621,SANTA CRUZ,(520) 285-3000,Critical Access Hospitals,Proprietary
+72230,OHIOHEALTH MANSFIELD HOSPITAL,335 GLESSNER AVENUE,MANSFIELD,OH,44903,RICHLAND,(419) 526-8000,Acute Care Hospitals,Voluntary non-profit - Private
+87393,MT. GRAHAM REGIONAL MEDICAL CENTER,1600 SOUTH 20TH AVENUE,SAFFORD,AZ,85546,GRAHAM,(928) 348-4000,Acute Care Hospitals,Government - Hospital District or Authority
+41379,ST CHARLES BEND,2500 NE NEFF ROAD,BEND,OR,97701,DESCHUTES,(541) 382-4321,Acute Care Hospitals,Voluntary non-profit - Private
+75392,NORTHSIDE HOSPITAL FORSYTH,1200 NORTHSIDE FORSYTH DRIVE,CUMMING,GA,30041,FORSYTH,(770) 844-3200,Acute Care Hospitals,Voluntary non-profit - Private
+10299,ENDLESS MOUNTAINS HEALTH SYSTEMS,100 HOSPITAL DRIVE,MONTROSE,PA,18801,SUSQUEHANNA,(570) 278-3801,Critical Access Hospitals,Voluntary non-profit - Private
+49086,MEDINA REGIONAL HOSPITAL,3100 AVENUE E,HONDO,TX,78861,MEDINA,(830) 426-7700,Critical Access Hospitals,Government - Hospital District or Authority
+48176,JENNIE M MELHAM MEMORIAL MEDICAL CENTER,145 MEMORIAL DRIVE,BROKEN BOW,NE,68822,CUSTER,(308) 872-4100,Critical Access Hospitals,Voluntary non-profit - Private
+20201,HIGHLANDS HOSPITAL,401 EAST MURPHY AVENUE,CONNELLSVILLE,PA,15425,FAYETTE,(724) 628-1500,Acute Care Hospitals,Voluntary non-profit - Private
+53705,HENDRICKS COMMUNITY HOSPITAL,503 E LINCOLN STREET,HENDRICKS,MN,56136,LINCOLN,(507) 275-3134,Critical Access Hospitals,Voluntary non-profit - Private
+36055,UNIVERSITY OF MISSISSIPPI MED CENTER,2500 N STATE ST,JACKSON,MS,39216,HINDS,(601) 984-4100,Acute Care Hospitals,Government - State
+45924,MITCHELL COUNTY HOSPITAL HEALTH SYSTEMS,"400 W 8TH STREET, P O BOX 399",BELOIT,KS,67420,MITCHELL,(785) 738-2266,Critical Access Hospitals,Government - Local
+66032,AUSTIN STATE HOSPITAL,4110 GUADALUPE,AUSTIN,TX,78751,TRAVIS,(512) 419-2100,Psychiatric,Government - State
+81261,REGIONAL HEALTH STURGIS HOSPITAL,2140 JUNCTION AVE,STURGIS,SD,57785,MEADE,(605) 720-2400,Critical Access Hospitals,Voluntary non-profit - Other
+49938,ST VINCENT WILLIAMSPORT HOSPITAL INC,412 N MONROE ST,WILLIAMSPORT,IN,47993,WARREN,(765) 762-4000,Critical Access Hospitals,Voluntary non-profit - Church
+75697,DENVER SPRINGS,8835 AMERICAN WAY,ENGLEWOOD,CO,80112,ARAPAHOE,(720) 643-4300,Psychiatric,Proprietary
+82856,BHC FAIRFAX HOSPITAL,10200 NE 132ND ST,KIRKLAND,WA,98034,KING,(425) 821-2000,Psychiatric,Proprietary
+54607,SAINT LUKE'S CUSHING HOSPITAL,711 MARSHALL STREET,LEAVENWORTH,KS,66048,LEAVENWORTH,(913) 684-1100,Acute Care Hospitals,Voluntary non-profit - Private
+34575,ELLSWORTH COUNTY MEDICAL CENTER,1604 AYLWARD AVENUE,ELLSWORTH,KS,67439,ELLSWORTH,(785) 472-3111,Critical Access Hospitals,Proprietary
+69465,LAKE HURON MEDICAL CENTER,2601 ELECTRIC AVENUE,PORT HURON,MI,48060,ST. CLAIR,(810) 985-1500,Acute Care Hospitals,Voluntary non-profit - Church
+45110,ELMORE COMMUNITY HOSPITAL,500 HOSPITAL DRIVE,WETUMPKA,AL,36092,ELMORE,(334) 567-4311,Acute Care Hospitals,Government - State
+71040,LAKEWOOD REGIONAL MEDICAL CENTER,3700 E SOUTH ST,LAKEWOOD,CA,90712,LOS ANGELES,(562) 602-6751,Acute Care Hospitals,Proprietary
+14384,CHILDRENS HOSPITAL OF WISCONSIN,9000 W WISCONSIN AVE,MILWAUKEE,WI,53226,MILWAUKEE,(414) 266-2000,Childrens,Voluntary non-profit - Other
+50722,FIRSTHEALTH MOORE REGIONAL HOSPITAL,155 MEMORIAL DRIVE,PINEHURST,NC,28374,MOORE,(910) 715-1000,Acute Care Hospitals,Voluntary non-profit - Private
+18244,CENTURA HEALTH-PORTER ADVENTIST HOSPITAL,2525 S DOWNING ST,DENVER,CO,80210,DENVER,(303) 778-1955,Acute Care Hospitals,Voluntary non-profit - Private
+86695,DESERT VALLEY HOSPITAL,16850 BEAR VALLEY RD,VICTORVILLE,CA,92395,SAN BERNARDINO,(760) 241-8000,Acute Care Hospitals,Proprietary
+91388,ADVENTHEALTH WAUCHULA,735 S 5TH AVE,WAUCHULA,FL,33873,HARDEE,(863) 773-0216,Critical Access Hospitals,Voluntary non-profit - Private
+34358,INTEGRIS SOUTHWEST MEDICAL CENTER,4401 SOUTH WESTERN AVENUE,OKLAHOMA CITY,OK,73109,OKLAHOMA,(405) 636-7000,Acute Care Hospitals,Voluntary non-profit - Private
+51045,"ASCENSION VIA CHRISTI HOSPITAL ST. TERESA, INC.",14800 WEST ST TERESA,WICHITA,KS,67235,SEDGWICK,(316) 796-7800,Acute Care Hospitals,Voluntary non-profit - Church
+16301,DUKE HEALTH RALEIGH HOSPITAL,3400 WAKE FOREST RD,RALEIGH,NC,27609,WAKE,(919) 954-3000,Acute Care Hospitals,Voluntary non-profit - Private
+56826,MONTCLAIR HOSPITAL MEDICAL CENTER,5000 SAN BERNARDINO ST,MONTCLAIR,CA,91763,SAN BERNARDINO,(909) 625-8300,Acute Care Hospitals,Voluntary non-profit - Private
+57488,MEMORIAL REGIONAL HOSPITAL,3501 JOHNSON ST,HOLLYWOOD,FL,33021,BROWARD,(954) 265-5814,Acute Care Hospitals,Government - Hospital District or Authority
+42093,FREEMAN HEALTH SYSTEM - FREEMAN WEST,1102 WEST 32ND STREET,JOPLIN,MO,64804,JASPER,(417) 347-1111,Acute Care Hospitals,Voluntary non-profit - Private
+34896,MERCY HEALTH - WILLARD HOSPITAL,1100 NEAL ZICK ROAD,WILLARD,OH,44890,HURON,(419) 964-5000,Critical Access Hospitals,Voluntary non-profit - Private
+94044,SAN LUIS VALLEY HEALTH,106 BLANCA AVE,ALAMOSA,CO,81101,ALAMOSA,(719) 589-2511,Acute Care Hospitals,Voluntary non-profit - Private
+21623,FRANCISCAN HEALTH CROWN POINT,1201 S MAIN ST,CROWN POINT,IN,46307,LAKE,(219) 757-6100,Acute Care Hospitals,Voluntary non-profit - Church
+12777,LAKELAND COMMUNITY HOSPITAL,42024 HIGHWAY 195 E,HALEYVILLE,AL,35565,WINSTON,(205) 485-7117,Acute Care Hospitals,Voluntary non-profit - Church
+67591,CHI HEALTH CREIGHTON UNIVERSITY MEDICAL CENTER - B,7500 MERCY RD,OMAHA,NE,68124,DOUGLAS,(402) 398-6060,Acute Care Hospitals,Voluntary non-profit - Private
+75251,ST LAWRENCE PSYCH CENTER,ONE CHIMNEY POINT DRIVE,OGDENSBURG,NY,13669,ST. LAWRENCE,(315) 541-2071,Psychiatric,Government - State
+71328,SYCAMORE SPRINGS HOSPITAL LLC,833 PARK EAST BLVD,LAFAYETTE,IN,47905,TIPPECANOE,(765) 743-4400,Psychiatric,Proprietary
+46001,RADY CHILDREN'S HOSPITAL - SAN DIEGO,3020 CHILDRENS WAY,SAN DIEGO,CA,92123,SAN DIEGO,(858) 576-1700,Childrens,Voluntary non-profit - Other
+26210,CENTRAL STATE HOSPITAL,10510 LAGRANGE ROAD,LOUISVILLE,KY,40223,JEFFERSON,(502) 253-7045,Psychiatric,Government - State
+16537,UPMC EAST,2775 MOSSIDE BOULEVARD,MONROEVILLE,PA,15146,ALLEGHENY,(412) 357-3000,Acute Care Hospitals,Voluntary non-profit - Private
+93096,SAINT THOMAS HICKMAN HOSPITAL,135 EAST SWAN STREET,CENTERVILLE,TN,37033,HICKMAN,(931) 729-4271,Critical Access Hospitals,Voluntary non-profit - Private
+17304,MERCY HEALTH LAKESHORE CAMPUS,72 SOUTH STATE STREET,SHELBY,MI,49455,OCEANA,(231) 861-2156,Critical Access Hospitals,Voluntary non-profit - Private
+81132,SETON MEDICAL CENTER HAYS,6001 KYLE PKWY,KYLE,TX,78640,HAYS,(512) 324-5000,Acute Care Hospitals,Voluntary non-profit - Private
+39343,FORT LAUDERDALE BEHAVIORAL HEALTH CENTER,5757 N DIXIE HWY,OAKLAND PARK,FL,33334,BROWARD,(954) 463-4321,Psychiatric,Proprietary
+23812,MERCY HEALTH-ANDERSON HOSPITAL,7500 STATE ROAD,CINCINNATI,OH,45255,HAMILTON,(513) 624-4006,Acute Care Hospitals,Voluntary non-profit - Private
+50267,VALLEY BEHAVIORAL HEALTH SYSTEM,10301 MAYO DRIVE,BARLING,AR,72923,SEBASTIAN,(479) 494-5700,Psychiatric,Voluntary non-profit - Other
+47386,BON SECOURS DEPAUL MEDICAL CENTER,150 KINGSLEY LANE,NORFOLK,VA,23505,NORFOLK CITY,(757) 889-5000,Acute Care Hospitals,Voluntary non-profit - Private
+51238,UNIONTOWN HOSPITAL,500 WEST BERKELEY STREET,UNIONTOWN,PA,15401,FAYETTE,(724) 430-5000,Acute Care Hospitals,Voluntary non-profit - Other
+62977,ANDALUSIA HEALTH,849 SOUTH THREE NOTCH STREET,ANDALUSIA,AL,36420,COVINGTON,(334) 222-8466,Acute Care Hospitals,Proprietary
+21024,MEMORIAL HEALTH UNIVERSITY MEDICAL CENTER,4700 WATERS AVENUE,SAVANNAH,GA,31404,CHATHAM,(912) 350-3691,Acute Care Hospitals,Voluntary non-profit - Other
+21351,IVINSON MEMORIAL HOSPITAL,255 N 30TH,LARAMIE,WY,82072,ALBANY,(307) 755-4600,Acute Care Hospitals,Government - Hospital District or Authority
+94336,LEGACY MOUNT HOOD MEDICAL CENTER,24800 SE STARK STREET,GRESHAM,OR,97030,MULTNOMAH,(503) 674-1122,Acute Care Hospitals,Voluntary non-profit - Private
+91651,TEXAS HEALTH HARRIS METHODIST HOSPITAL STEPHENVILL,411 N BELKNAP ST,STEPHENVILLE,TX,76401,ERATH,(254) 965-1500,Acute Care Hospitals,Voluntary non-profit - Private
+66705,PLAINS REGIONAL MEDICAL CENTER,"2100 N MARTIN LUTHER KING, JR, BLVD",CLOVIS,NM,88101,CURRY,(575) 769-7155,Acute Care Hospitals,Government - Federal
+12563,ADVENTHEALTH OCALA,1500 SW 1ST AVE,OCALA,FL,34474,MARION,(352) 351-7200,Acute Care Hospitals,Government - Hospital District or Authority
+49085,BAPTIST MEDICAL CENTER-ATTALA,220 HWY 12 WEST,KOSCIUSKO,MS,39090,ATTALA,(662) 289-4311,Critical Access Hospitals,Voluntary non-profit - Other
+23191,ST NICHOLAS HOSPITAL,3100 SUPERIOR AVE,SHEBOYGAN,WI,53081,SHEBOYGAN,(920) 459-8300,Acute Care Hospitals,Voluntary non-profit - Private
+60398,DICKENSON COMMUNITY HOSPITAL,312 HOSPITAL DRIVE,CLINTWOOD,VA,24228,DICKENSON,(276) 926-0300,Critical Access Hospitals,Voluntary non-profit - Private
+11153,CENTURA HEALTH-PENROSE-ST FRANCIS HEALTH SERVICES,2222 NORTH NEVADA AVE,COLORADO SPRINGS,CO,80907,EL PASO,(719) 776-5000,Acute Care Hospitals,Voluntary non-profit - Private
+15927,FULTON COUNTY HOSPITAL,679 NORTH MAIN STREET,SALEM,AR,72576,FULTON,(870) 895-2691,Critical Access Hospitals,Voluntary non-profit - Other
+52907,MESA VIEW REGIONAL HOSPITAL,1299 BERTHA HOWE AVENUE,MESQUITE,NV,89027,CLARK,(702) 346-8040,Critical Access Hospitals,Proprietary
+44378,MERCY HOSPITAL,500 E MARKET STREET,IOWA CITY,IA,52245,JOHNSON,(319) 339-0300,Acute Care Hospitals,Voluntary non-profit - Church
+81341,SURGEONS CHOICE MEDICAL CENTER,22401 FOSTER WINTER DRIVE,SOUTHFIELD,MI,48075,OAKLAND,(248) 423-5100,Acute Care Hospitals,Proprietary
+21008,MARSHFIELD MEDICAL CENTER - RICE LAKE,1700 WEST STOUT STREET,RICE LAKE,WI,54868,BARRON,(715) 234-1515,Acute Care Hospitals,Voluntary non-profit - Private
+24764,JENKINS COUNTY HOSPITAL,931 EAST WINTHROPE AVENUE,MILLEN,GA,30442,JENKINS,(478) 982-4221,Critical Access Hospitals,Proprietary
+52984,MADISON MEMORIAL HOSPITAL,450 EAST MAIN STREET,REXBURG,ID,83440,MADISON,(208) 359-6900,Acute Care Hospitals,Government - Local
+36517,SAN CARLOS APACHE HEALTHCARE,103 MEDICINE WAY ROAD,PERIDOT,AZ,85542,GILA,(928) 475-1200,Acute Care Hospitals,Government - Federal
+92652,CHRISTUS COUSHATTA HEALTH CARE CENTER,1635 MARVEL STREET,COUSHATTA,LA,71019,RED RIVER,(318) 932-2000,Critical Access Hospitals,Voluntary non-profit - Private
+85583,AVERA GREGORY HOSPITAL,400 PARK STREET  POST OFFICE BOX 408,GREGORY,SD,57533,GREGORY,(605) 835-8394,Critical Access Hospitals,Voluntary non-profit - Private
+90256,MIAMI COUNTY MEDICAL CENTER,2100 BAPTISTE DRIVE,PAOLA,KS,66071,MIAMI,(913) 557-4385,Acute Care Hospitals,Voluntary non-profit - Private
+24090,SHENANDOAH MEMORIAL HOSPITAL,759 SOUTH MAIN STREET,WOODSTOCK,VA,22664,SHENANDOAH,(540) 459-1100,Critical Access Hospitals,Voluntary non-profit - Private
+51811,ROCHELLE COMMUNITY HOSPITAL,900 N 2ND ST,ROCHELLE,IL,61068,OGLE,(815) 562-2181,Critical Access Hospitals,Voluntary non-profit - Private
+73291,SWEDISH MEDICAL CENTER,501 E HAMPDEN AVE,ENGLEWOOD,CO,80113,ARAPAHOE,(303) 788-5000,Acute Care Hospitals,Proprietary
+91430,RIVERVIEW REGIONAL MEDICAL CENTER,158 HOSPITAL DRIVE,CARTHAGE,TN,37030,SMITH,(615) 735-9815,Critical Access Hospitals,Proprietary
+58380,UNIVERSITY HOSPITAL,150 BERGEN ST,NEWARK,NJ,7101,ESSEX,(973) 972-5658,Acute Care Hospitals,Government - State
+11821,FORT WASHINGTON HOSPITAL,11711 LIVINGSTON ROAD,FORT WASHINGTON,MD,20744,PRINCE GEORGES,(301) 292-7000,Acute Care Hospitals,Voluntary non-profit - Other
+33475,YOAKUM COMMUNITY HOSPITAL,1200 CARL RAMERT DRIVE,YOAKUM,TX,77995,LAVACA,(361) 293-2321,Critical Access Hospitals,Voluntary non-profit - Private
+89722,SAN JUAN MUNICIPAL HOSPITAL,"BARRIO MONACILLOS,CENTRO MEDICO",RIO PIEDRAS,PR,936,SAN JUAN,(787) 756-8535,Acute Care Hospitals,Voluntary non-profit - Other
+23770,SARASOTA MEMORIAL HOSPITAL,1700 S TAMIAMI TRL,SARASOTA,FL,34239,SARASOTA,(941) 917-9000,Acute Care Hospitals,Government - Hospital District or Authority
+93018,"WESTFIELD MEMORIAL HOSPITAL, INC",189 EAST MAIN STREET,WESTFIELD,NY,14787,CHAUTAUQUA,(716) 326-4921,Acute Care Hospitals,Voluntary non-profit - Private
+67120,PROVIDENCE SAINT JOSEPH MEDICAL CTR,501 SOUTH BUENA VISTA STREET,BURBANK,CA,91505,LOS ANGELES,(818) 843-5111,Acute Care Hospitals,Voluntary non-profit - Church
+83904,MEASE COUNTRYSIDE HOSPITAL,3231 MCMULLEN BOOTH RD,SAFETY HARBOR,FL,34695,PINELLAS,(727) 734-6950,Acute Care Hospitals,Voluntary non-profit - Private
+41878,EASTPOINTE HOSPITAL,7400 ROPER LANE,DAPHNE,AL,36526,BALDWIN,(251) 378-6500,Psychiatric,Voluntary non-profit - Other
+10471,SULLIVAN COUNTY COMMUNITY HOSPITAL,2200 N SECTION ST,SULLIVAN,IN,47882,SULLIVAN,(812) 268-4311,Critical Access Hospitals,Government - Local
+18540,DOWN EAST COMMUNITY HOSPITAL,11 HOSPITAL DRIVE,MACHIAS,ME,4654,WASHINGTON,(207) 255-3356,Critical Access Hospitals,Voluntary non-profit - Private
+80800,EAST JEFFERSON GENERAL HOSPITAL,4200 HOUMA BLVD,METAIRIE,LA,70006,JEFFERSON,(504) 454-4000,Acute Care Hospitals,Government - Hospital District or Authority
+54020,CHESTNUT HILL HOSPITAL,8835 GERMANTOWN AVE,PHILADELPHIA,PA,19118,PHILADELPHIA,(215) 248-8200,Acute Care Hospitals,Proprietary
+18497,ST ANTHONY REGIONAL HOSPITAL & NURSING HOME,311 SOUTH CLARK STREET,CARROLL,IA,51401,CARROLL,(712) 792-3581,Acute Care Hospitals,Voluntary non-profit - Private
+73575,ST CHARLES HOSPITAL,200 BELLE TERRE ROAD,PORT JEFFERSON,NY,11777,SUFFOLK,(631) 474-6000,Acute Care Hospitals,Voluntary non-profit - Private
+61234,ST DOMINIC-JACKSON MEMORIAL HOSPITAL,969 LAKELAND DR,JACKSON,MS,39216,HINDS,(601) 200-2000,Acute Care Hospitals,Voluntary non-profit - Church
+70908,ANTELOPE VALLEY HOSPITAL,1600 W AVE J,LANCASTER,CA,93534,LOS ANGELES,(661) 949-5000,Acute Care Hospitals,Government - Hospital District or Authority
+78814,NORTHWEST SURGICAL HOSPITAL,9204 NORTH MAY AVENUE,OKLAHOMA CITY,OK,73120,OKLAHOMA,(405) 848-1918,Acute Care Hospitals,Physician
+90756,VIRGINIA BEACH PSYCHIATRIC CENTER,1100 FIRST COLONIAL ROAD,VIRGINIA BEACH,VA,23454,VIRGINIA BEACH CITY,(757) 496-6000,Psychiatric,Proprietary
+24665,SENTARA PRINCESS ANNE HOSPITAL,2025 GLENN MITCHELL DRIVE,VIRGINIA BEACH,VA,23456,VIRGINIA BEACH CITY,(757) 507-1520,Acute Care Hospitals,Voluntary non-profit - Other
+15823,CHI HEALTH MISSOURI VALLEY,631 N 8TH ST,MISSOURI VALLEY,IA,51555,HARRISON,(712) 642-2784,Critical Access Hospitals,Voluntary non-profit - Private
+16865,ASANTE ASHLAND COMMUNITY HOSPITAL,280 MAPLE STREET,ASHLAND,OR,97520,JACKSON,(541) 201-4017,Acute Care Hospitals,Government - Local
+28134,ASCENSION EAGLE RIVER HOSPITAL,201 HOSPITAL ROAD,EAGLE RIVER,WI,54521,VILAS,(715) 479-7411,Critical Access Hospitals,Voluntary non-profit - Private
+81292,CARE REGIONAL MEDICAL CENTER,1711 W WHEELER AVENUE,ARANSAS PASS,TX,78336,SAN PATRICIO,(361) 758-8585,Acute Care Hospitals,Proprietary
+19753,HOCKING VALLEY COMMUNITY HOSPITAL,601 STATE ROUTE 664N,LOGAN,OH,43138,HOCKING,(740) 380-8227,Critical Access Hospitals,Voluntary non-profit - Other
+31254,CITIZENS MEMORIAL HOSPITAL,1500 N OAKLAND,BOLIVAR,MO,65613,POLK,(417) 326-6000,Acute Care Hospitals,Government - Hospital District or Authority
+82763,BRECKINRIDGE MEMORIAL HOSPITAL,1011 OLD HIGHWAY 60,HARDINSBURG,KY,40143,BRECKINRIDGE,(270) 756-7000,Critical Access Hospitals,Government - Local
+31242,PUTNAM COMMUNITY MEDICAL CENTER,611 ZEAGLER DR,PALATKA,FL,32177,PUTNAM,(386) 326-8500,Acute Care Hospitals,Proprietary
+10930,ST MARY'S HOSPITAL,701 LEWISTON ST,COTTONWOOD,ID,83522,IDAHO,(208) 962-3251,Critical Access Hospitals,Voluntary non-profit - Private
+61019,SANFORD,801 BROADWAY NORTH,FARGO,ND,58122,CASS,(701) 234-2000,Acute Care Hospitals,Voluntary non-profit - Private
+10550,MCLEOD LORIS  HOSPITAL,3655 MITCHELL STREET,LORIS,SC,29569,HORRY,(843) 716-7000,Acute Care Hospitals,Voluntary non-profit - Private
+24302,CAMDEN CLARK MEDICAL CENTER,800 GARFIELD AVE,PARKERSBURG,WV,26101,WOOD,(304) 424-2111,Acute Care Hospitals,Voluntary non-profit - Private
+61723,LOVELACE REGIONAL HOSPITAL - ROSWELL,117 EAST 19TH STREET,ROSWELL,NM,88201,CHAVES,(575) 625-3345,Acute Care Hospitals,Voluntary non-profit - Private
+28113,UPMC KANE,4372 ROUTE 6,KANE,PA,16735,MC KEAN,(814) 837-8585,Acute Care Hospitals,Voluntary non-profit - Private
+82736,HAXTUN HOSPITAL DISTRICT,235 W FLETCHER ST,HAXTUN,CO,80731,PHILLIPS,(970) 774-6123,Critical Access Hospitals,Government - Hospital District or Authority
+93189,MERCY HOSPITAL JEFFERSON,1400 US HIGHWAY 61,FESTUS,MO,63028,JEFFERSON,(636) 933-1000,Acute Care Hospitals,Voluntary non-profit - Private
+39338,LIFECARE MEDICAL CENTER,715 DELMORE DRIVE,ROSEAU,MN,56751,ROSEAU,(218) 463-2500,Critical Access Hospitals,Voluntary non-profit - Private
+88039,WESTLAKE HOSPITAL,1225 LAKE ST,MELROSE PARK,IL,60160,COOK,(708) 938-4000,Acute Care Hospitals,Voluntary non-profit - Other
+38643,STEPHENS MEMORIAL HOSPITAL,200 SOUTH GENEVA STREET,BRECKENRIDGE,TX,76424,STEPHENS,(254) 559-2241,Acute Care Hospitals,Government - Hospital District or Authority
+87898,CONEY ISLAND HOSPITAL CENTER,2601 OCEAN PARKWAY,BROOKLYN,NY,11235,KINGS,(718) 616-3000,Acute Care Hospitals,Government - Local
+52183,SWEENY COMMUNITY HOSPITAL,305 NORTH MCKINNEY,SWEENY,TX,77480,BRAZORIA,(979) 548-3311,Critical Access Hospitals,Government - Hospital District or Authority
+39042,CARROLL HOSPITAL CENTER,200 MEMORIAL AVENUE,WESTMINSTER,MD,21157,CARROLL,(410) 848-3000,Acute Care Hospitals,Voluntary non-profit - Private
+45243,BAPTIST MEMORIAL HOSPITAL - CARROLL COUNTY,631 RB WILSON DR,HUNTINGDON,TN,38344,CARROLL,(731) 986-4461,Acute Care Hospitals,Voluntary non-profit - Private
+74407,BAYLOR SCOTT & WHITE MEDICAL CENTER - LLANO,200 W OLLIE,LLANO,TX,78643,LLANO,(325) 247-5040,Acute Care Hospitals,Voluntary non-profit - Private
+43019,MERCY HOSPITAL COLUMBUS,220 N PENNSYLVANIA AVENUE,COLUMBUS,KS,66725,CHEROKEE,(620) 429-2545,Critical Access Hospitals,Voluntary non-profit - Church
+19251,P H S INDIAN HOSPITAL-FT BELKNAP AT HARLEM - CAH,"456 GROS VENTRE AVE, RR 1",HARLEM,MT,59526,BLAINE,(406) 353-3100,Critical Access Hospitals,Government - Federal
+68260,GOOD SAMARITAN HOSPITAL OF SUFFERN,255 LAFAYETTE AVENUE,SUFFERN,NY,10901,ROCKLAND,(845) 368-5000,Acute Care Hospitals,Voluntary non-profit - Church
+61219,EL PASO PSYCHIATRIC CENTER,4615 ALAMEDA AVENUE,EL PASO,TX,79905,EL PASO,(915) 532-2202,Psychiatric,Government - State
+54349,SOUTH CENTRAL KS  MED CENTER,6401 PATTERSON PARKWAY,ARKANSAS CITY,KS,67005,COWLEY,(620) 442-2500,Acute Care Hospitals,Government - Local
+64305,MARLETTE REGIONAL HOSPITAL,2770 MAIN STREET,MARLETTE,MI,48453,SANILAC,(989) 635-4000,Critical Access Hospitals,Voluntary non-profit - Private
+66878,"PAWHUSKA HOSPITAL, INC",1101 EAST 15TH STREET,PAWHUSKA,OK,74056,OSAGE,(918) 287-3232,Critical Access Hospitals,Voluntary non-profit - Private
+28091,NORTHSHORE UNIVERSITY HEALTHSYSTEM EVANSTON HOSP,2650 RIDGE AVE,EVANSTON,IL,60201,COOK,(847) 432-8000,Acute Care Hospitals,Voluntary non-profit - Other
+82073,INOVA FAIRFAX HOSPITAL,3300 GALLOWS ROAD,FALLS CHURCH,VA,22042,FAIRFAX,(703) 776-4001,Acute Care Hospitals,Voluntary non-profit - Private
+60274,PROVIDENCE REGIONAL MEDICAL CENTER EVERETT,1321 COLBY AVENUE,EVERETT,WA,98201,SNOHOMISH,(425) 261-2000,Acute Care Hospitals,Voluntary non-profit - Church
+66324,BERGEN NEW BRIDGE MEDICAL CENTER,230 EAST RIDGEWOOD AVE,PARAMUS,NJ,7652,BERGEN,(201) 967-4000,Acute Care Hospitals,Government - Local
+61836,"ASPIRUS ONTONAGON HOSPITAL, INC",601 S SEVENTH ST,ONTONAGON,MI,49953,ONTONAGON,(906) 884-8000,Critical Access Hospitals,Government - Local
+70867,GRAYS HARBOR COMMUNITY HOSPITAL,915 ANDERSON DRIVE,ABERDEEN,WA,98520,GRAYS HARBOR,(360) 532-8330,Acute Care Hospitals,Voluntary non-profit - Private
+45656,BARNES-JEWISH WEST COUNTY HOSPITAL,12634 OLIVE BOULEVARD,CREVE COEUR,MO,63141,ST. LOUIS,(314) 996-8000,Acute Care Hospitals,Voluntary non-profit - Private
+81541,LAKE DISTRICT HOSPITAL,700 SOUTH J STREET,LAKEVIEW,OR,97630,LAKE,(541) 947-2114,Critical Access Hospitals,Government - Hospital District or Authority
+39674,EAST TENNESSEE CHILDRENS HOSPITAL,2018 CLINCH AVE SW,KNOXVILLE,TN,37916,KNOX,(865) 541-8000,Childrens,Voluntary non-profit - Private
+86223,WILLIAMSON MEMORIAL HOSPITAL,859 ALDERSON STREET,WILLIAMSON,WV,25661,MINGO,(304) 235-2500,Acute Care Hospitals,Voluntary non-profit - Private
+57949,THE ORTHOPAEDIC HOSPITAL OF LUTHERAN HEALTH NETWOR,7952 W JEFFERSON BLVD,FORT WAYNE,IN,46804,ALLEN,(260) 435-2999,Acute Care Hospitals,Proprietary
+42002,FORT LOUDON MEDICAL CENTER,550 FORT LOUDON MEDICAL CENTER DR,LENOIR CITY,TN,37772,LOUDON,(865) 271-6000,Acute Care Hospitals,Voluntary non-profit - Other
+50708,PINE CREEK MEDICAL CENTER LLP,9032 HARRY HINES BLVD,DALLAS,TX,75235,DALLAS,(214) 231-2273,Acute Care Hospitals,Proprietary
+44461,MERCY HEALTH - CLERMONT HOSPITAL,3000 HOSPITAL DRIVE,BATAVIA,OH,45103,CLERMONT,(513) 732-8590,Acute Care Hospitals,Voluntary non-profit - Church
+55274,NMC San Diego,34800 Bob Wilson Drive,San Diego,CA,92134,SAN DIEGO,(619) 532-6400,Acute Care - Department of Defense,Department of Defense
+79370,NORTHWEST SPECIALTY HOSPITAL,1593 EAST POLSTON AVENUE,POST FALLS,ID,83854,KOOTENAI,(208) 262-2466,Acute Care Hospitals,Proprietary
+56578,SIDNEY HEALTH CENTER,216 14TH AVE SW,SIDNEY,MT,59270,RICHLAND,(406) 488-2100,Critical Access Hospitals,Voluntary non-profit - Other
+45063,ST JOSEPH HOSPITAL,700 BROADWAY,FORT WAYNE,IN,46802,ALLEN,(260) 425-3000,Acute Care Hospitals,Proprietary
+64188,SINAI HOSPITAL OF BALTIMORE,2401 WEST BELVEDERE AVENUE,BALTIMORE,MD,21215,BALTIMORE CITY,(410) 601-5131,Acute Care Hospitals,Voluntary non-profit - Private
+53442,NORTH LOGAN MERCY HOSPITAL,500 EAST ACADEMY,PARIS,AR,72855,LOGAN,(479) 963-6101,Critical Access Hospitals,Voluntary non-profit - Church
+94187,NORTH AUSTIN MEDICAL CENTER,12221 MOPAC EXPRESSWAY NORTH,AUSTIN,TX,78758,TRAVIS,(512) 901-1000,Acute Care Hospitals,Proprietary
+65708,TIFT REGIONAL MEDICAL CENTER,901 E 18TH STREET,TIFTON,GA,31793,TIFT,(229) 382-7120,Acute Care Hospitals,Government - Hospital District or Authority
+11243,MERCY GENERAL HOSPITAL,4001 J ST,SACRAMENTO,CA,95819,SACRAMENTO,(916) 453-4453,Acute Care Hospitals,Voluntary non-profit - Private
+10468,SYRACUSE AREA HEALTH,2731 HEALTHCARE DR,SYRACUSE,NE,68446,OTOE,(402) 269-2011,Critical Access Hospitals,Government - Hospital District or Authority
+37133,NIOBRARA VALLEY HOSPITAL,"P O BOX 118, 401 SOUTH 5TH STREET",LYNCH,NE,68746,BOYD,(402) 569-2451,Critical Access Hospitals,Voluntary non-profit - Private
+30320,SKYLINE HOSPITAL,211 SKYLINE DRIVE,WHITE SALMON,WA,98672,KLICKITAT,(509) 491-1101,Critical Access Hospitals,Government - Hospital District or Authority
+11948,ST LUKE COMMUNITY HOSPITAL,107 6TH AVE SW,RONAN,MT,59864,LAKE,(406) 676-4441,Critical Access Hospitals,Voluntary non-profit - Private
+49476,ASCENSION ST VINCENT'S SOUTHSIDE,4201 BELFORT RD,JACKSONVILLE,FL,32216,DUVAL,(904) 296-3700,Acute Care Hospitals,Voluntary non-profit - Private
+63236,MERCY HOSPITAL WASHINGTON,901 EAST 5TH STREET,WASHINGTON,MO,63090,FRANKLIN,(636) 239-8000,Acute Care Hospitals,Voluntary non-profit - Private
+13273,FRANKLIN COUNTY MEMORIAL HOSPITAL,40 UNION CHURCH RD,MEADVILLE,MS,39653,FRANKLIN,(601) 384-5801,Critical Access Hospitals,Government - Local
+61813,RINGGOLD COUNTY HOSPITAL,504 NORTH CLEVELAND STREET,MOUNT AYR,IA,50854,RINGGOLD,(641) 464-3226,Critical Access Hospitals,Government - Local
+91965,HAMPSTEAD HOSPITAL,218 EAST ROAD,HAMPSTEAD,NH,3841,ROCKINGHAM,(603) 329-5311,Psychiatric,Proprietary
+76181,HACKETTSTOWN MEDICAL CENTER,651 WILLOW GROVE ST,HACKETTSTOWN,NJ,7840,WARREN,(908) 852-5100,Acute Care Hospitals,Voluntary non-profit - Church
+76499,WRIGHT MEMORIAL HOSPITAL,191 IOWA BOULEVARD,TRENTON,MO,64683,GRUNDY,(660) 359-5621,Critical Access Hospitals,Voluntary non-profit - Private
+80883,THOMAS HOSPITAL,750 MORPHY AVENUE,FAIRHOPE,AL,36532,BALDWIN,(251) 928-2375,Acute Care Hospitals,Voluntary non-profit - Private
+40503,EMORY UNIVERSITY HOSPITAL,"1364 CLIFTON ROAD, NE",ATLANTA,GA,30322,DE KALB,(404) 686-8500,Acute Care Hospitals,Voluntary non-profit - Private
+21681,DEACONESS HOSPITAL INC,600 MARY ST,EVANSVILLE,IN,47747,VANDERBURGH,(812) 450-5000,Acute Care Hospitals,Voluntary non-profit - Private
+83657,JPS HEALTH NETWORK,1500 S MAIN ST,FORT WORTH,TX,76104,TARRANT,(817) 921-3431,Acute Care Hospitals,Government - Hospital District or Authority
+54756,NORTH MISSISSIPPI MEDICAL CENTER,830 S GLOSTER STREET,TUPELO,MS,38801,LEE,(662) 377-6608,Acute Care Hospitals,Voluntary non-profit - Private
+94389,HEALTHALLIANCE HOSPITAL MARYS AVENUE CAMPUS,105 MARY'S AVENUE,KINGSTON,NY,12401,ULSTER,(845) 338-2500,Acute Care Hospitals,Voluntary non-profit - Church
+93632,CONNALLY MEMORIAL MEDICAL CENTER,499 10TH STREET,FLORESVILLE,TX,78114,WILSON,(830) 393-1300,Acute Care Hospitals,Government - Hospital District or Authority
+62268,CENTRAL REGIONAL HOSPITAL,300 VEAZY RD,BUTNER,NC,27509,GRANVILLE,(919) 764-2000,Psychiatric,Voluntary non-profit - Church
+10873,ABILENE REGIONAL MEDICAL CENTER,6250 HWY 83/84,ABILENE,TX,79606,TAYLOR,(325) 428-1000,Acute Care Hospitals,Proprietary
+38322,DECATUR COUNTY GENERAL HOSPITAL,969 TENNESSEE AVE S,PARSONS,TN,38363,DECATUR,(731) 847-3031,Acute Care Hospitals,Government - Local
+65169,NORTH BIG HORN HOSPITAL DISTRICT,1115 LANE 12,LOVELL,WY,82431,BIG HORN,(307) 548-5200,Critical Access Hospitals,Government - Hospital District or Authority
+62594,BROWN COUNTY COMMUNITY TREATMENT CTR,3150 GERSHWIN DRIVE,GREEN BAY,WI,54311,BROWN,(920) 391-4700,Psychiatric,Government - Local
+55626,ST VINCENT'S ST CLAIR,7063 VETERANS PARKWAY,PELL CITY,AL,35125,ST. CLAIR,(205) 338-3301,Acute Care Hospitals,Voluntary non-profit - Private
+60506,MERCY HEALTH - URBANA HOSPITAL,904 SCIOTO STREET,URBANA,OH,43078,CHAMPAIGN,(937) 653-5231,Critical Access Hospitals,Voluntary non-profit - Private
+86130,UNIVERSITY MEDICAL CENTER,602 INDIANA AVENUE,LUBBOCK,TX,79415,LUBBOCK,(806) 775-8200,Acute Care Hospitals,Government - Hospital District or Authority
+50393,ST FRANCIS HOSPITAL,5959 PARK AVE,MEMPHIS,TN,38119,SHELBY,(901) 765-1000,Acute Care Hospitals,Proprietary
+87720,PARKLAND HEALTH AND HOSPITAL SYSTEM,5200 HARRY HINES BLVD,DALLAS,TX,75235,DALLAS,(214) 590-8000,Acute Care Hospitals,Government - Hospital District or Authority
+21838,PHOENIX CHILDREN'S HOSPITAL,1919 EAST THOMAS ROAD,PHOENIX,AZ,85016,MARICOPA,(602) 933-1000,Childrens,Voluntary non-profit - Private
+49893,NEWPORT BAY HOSPITAL,1501 E 16TH ST,NEWPORT BEACH,CA,92663,ORANGE,(949) 650-9750,Psychiatric,Proprietary
+13427,PLATTE HEALTH CENTER - CAH,601 E 7TH ST  POST OFFICE BOX 200,PLATTE,SD,57369,CHARLES MIX,(605) 337-3364,Critical Access Hospitals,Voluntary non-profit - Private
+49694,"CYPRESS GROVE BEHAVIORAL HEALTH, LLC",4673 EUGENE WARE ROAD,BASTROP,LA,71220,MOREHOUSE,(318) 281-2448,Psychiatric,Proprietary
+70040,BELLA VISTA HOSPITAL,CARR 349 KM 2 7 CERRO LAS MESAS,MAYAGUEZ,PR,681,MAYAGUEZ,(787) 652-6045,Acute Care Hospitals,Voluntary non-profit - Church
+66805,SOUTHAMPTON MEMORIAL HOSPITAL,100 FAIRVIEW DRIVE - PO BOX 817,FRANKLIN,VA,23851,FRANKLIN CITY,(757) 569-6100,Acute Care Hospitals,Proprietary
+13419,SEDAN CITY HOSPITAL,300 NORTH STREET,SEDAN,KS,67361,CHAUTAUQUA,(620) 725-3115,Critical Access Hospitals,Government - Local
+65132,BEAUREGARD MEMORIAL HOSPITAL,600 S PINE STREET,DERIDDER,LA,70634,BEAUREGARD,(337) 462-7100,Acute Care Hospitals,Government - Hospital District or Authority
+35785,MERCYONE DYERSVILLE MEDICAL CENTER,1111 3RD STREET SW,DYERSVILLE,IA,52040,DUBUQUE,(563) 875-7101,Critical Access Hospitals,Voluntary non-profit - Private
+59580,PENN HIGHLANDS DUBOIS,100 HOSPITAL AVENUE,DUBOIS,PA,15801,CLEARFIELD,(814) 371-2200,Acute Care Hospitals,Voluntary non-profit - Other
+13204,ST ELIZABETH'S MEDICAL CENTER,736 CAMBRIDGE STREET,BRIGHTON,MA,2135,SUFFOLK,(617) 789-3000,Acute Care Hospitals,Proprietary
+88165,LAKEVIEW MEMORIAL HOSPITAL,927 WEST CHURCHILL STREET,STILLWATER,MN,55082,WASHINGTON,(651) 430-5330,Acute Care Hospitals,Voluntary non-profit - Private
+47163,SOLDIERS AND SAILORS MEMORIAL HOSPITAL OF YATES,418 NORTH MAIN STREET,PENN YAN,NY,14527,YATES,(315) 787-4175,Critical Access Hospitals,Voluntary non-profit - Other
+46440,SALEM TOWNSHIP HOSPITAL,1201 RICKER DRIVE,SALEM,IL,62881,MARION,(618) 548-3194,Critical Access Hospitals,Government - Local
+50415,PRISMA HEALTH BAPTIST,1330 TAYLOR AT MARION ST,COLUMBIA,SC,29220,RICHLAND,(803) 296-5678,Acute Care Hospitals,Voluntary non-profit - Private
+85963,MEDSTAR MONTGOMERY MEDICAL CENTER,18101 PRINCE PHILIP DRIVE,OLNEY,MD,20832,MONTGOMERY,(301) 774-8882,Acute Care Hospitals,Voluntary non-profit - Private
+18261,J D MCCARTY CENTER FOR CHILDREN,2002  EAST ROBINSON,NORMAN,OK,73071,CLEVELAND,(405) 307-2800,Childrens,Government - State
+24548,CURRY GENERAL HOSPITAL,94220 FOURTH STREET,GOLD BEACH,OR,97444,CURRY,(541) 247-3000,Critical Access Hospitals,Government - Hospital District or Authority
+16196,RUSH COUNTY MEMORIAL HOSPITAL,801 LOCUST ST,LA CROSSE,KS,67548,RUSH,(785) 222-2545,Critical Access Hospitals,Government - Local
+72499,THE UNIVERSITY OF CHICAGO MEDICAL CENTER,5841 SOUTH MARYLAND,CHICAGO,IL,60637,COOK,(773) 702-1000,Acute Care Hospitals,Voluntary non-profit - Private
+15090,LINDEN OAKS HOSPITAL,852 S WEST STREET,NAPERVILLE,IL,60540,DU PAGE,(630) 305-5500,Psychiatric,Voluntary non-profit - Private
+66233,CLEAR VISTA HEALTH & WELLNESS,3364 KOLBE ROAD,LORAIN,OH,44053,LORAIN,(440) 960-7960,Psychiatric,Proprietary
+22235,MERCY MEDICAL CENTER-SIOUX CITY,801 5TH ST,SIOUX CITY,IA,51101,WOODBURY,(712) 279-2010,Acute Care Hospitals,Voluntary non-profit - Private
+82011,LOS ALAMOS MEDICAL CENTER,3917 WEST ROAD,LOS ALAMOS,NM,87544,LOS ALAMOS,(505) 662-4201,Acute Care Hospitals,Proprietary
+69369,MOSAIC MEDICAL CENTER - MARYVILLE,2016 SOUTH MAIN ST,MARYVILLE,MO,64468,NODAWAY,(660) 562-2600,Acute Care Hospitals,Voluntary non-profit - Church
+29029,STRONG MEMORIAL HOSPITAL,601 ELMWOOD AVE,ROCHESTER,NY,14642,MONROE,(585) 275-2121,Acute Care Hospitals,Voluntary non-profit - Private
+24136,KIRBY FORENSIC PSYCHIATRIC CENTER,WARD ISLAND,NEW YORK,NY,10035,NEW YORK,(212) 427-9003,Psychiatric,Government - State
+21851,THE PHYSICIANS' HOSPITAL IN ANADARKO,1002 E CENTRAL BLVD,ANADARKO,OK,73005,CADDO,(405) 247-8236,Critical Access Hospitals,Voluntary non-profit - Private
+68404,BANNER IRONWOOD MEDICAL CENTER,37000 NORTH GANTZEL ROAD,QUEEN CREEK,AZ,85140,PINAL,(480) 394-4030,Acute Care Hospitals,Voluntary non-profit - Private
+67854,SAINT PETER'S UNIVERSITY HOSPITAL,254 EASTON AVE,NEW BRUNSWICK,NJ,8901,MIDDLESEX,(732) 745-8600,Acute Care Hospitals,Voluntary non-profit - Church
+23917,MESCALERO PHS INDIAN HOSPITAL,P O BOX 210,MESCALERO,NM,88340,OTERO,(505) 464-4441,Acute Care Hospitals,Government - Federal
+65072,WEST HOLT MEMORIAL HOSPITAL,406 W NEELY ST,ATKINSON,NE,68713,HOLT,(402) 925-2811,Critical Access Hospitals,Voluntary non-profit - Private
+78002,MIDDLESEX HOSPITAL,28 CRESCENT ST,MIDDLETOWN,CT,6457,MIDDLESEX,(860) 344-6000,Acute Care Hospitals,Voluntary non-profit - Private
+25963,WESTERN REGIONAL MEDICAL CENTER,14200 WEST CELEBRATE LIFE WAY,GOODYEAR,AZ,85338,MARICOPA,(623) 207-3518,Acute Care Hospitals,Proprietary
+32361,HOLLYWOOD PRESBYTERIAN MEDICAL CENTER,1300 N VERMONT AVE,LOS ANGELES,CA,90027,LOS ANGELES,(213) 413-3000,Acute Care Hospitals,Proprietary
+18334,EAST CENTRAL REGIONAL HOSPITAL,3405 MIKE PADGETT HWY,AUGUSTA,GA,30906,RICHMOND,(706) 792-7006,Psychiatric,Government - State
+88982,OZARKS MEDICAL CENTER,1100 KENTUCKY AVE,WEST PLAINS,MO,65775,HOWELL,(417) 256-9111,Acute Care Hospitals,Voluntary non-profit - Other
+35378,GEORGIA REGIONAL HOSPITAL ATLANTA,3073 PANTHERSVILLE ROAD,DECATUR,GA,30034,DE KALB,(404) 243-2100,Psychiatric,Government - State
+38201,ADVENTIST HEALTH UKIAH VALLEY,275 HOSPITAL DRIVE,UKIAH,CA,95482,MENDOCINO,(707) 462-3111,Acute Care Hospitals,Voluntary non-profit - Church
+93176,PROSSER MEMORIAL HOSPITAL,723 MEMORIAL STREET,PROSSER,WA,99350,BENTON,(509) 786-2222,Critical Access Hospitals,Government - Hospital District or Authority
+80576,BRISTOW MEDICAL CENTER,700 W. 7TH STREET,BRISTOW,OK,74010,CREEK,(918) 367-2215,Acute Care Hospitals,Government - Hospital District or Authority
+84810,EAGLEVILLE HOSPITAL,100 EAGLEVILLE RD,EAGLEVILLE,PA,19408,MONTGOMERY,(215) 539-6000,Acute Care Hospitals,Voluntary non-profit - Private
+20939,COMMUNITY HOSPITAL INC,805 FRIENDSHIP ROAD,TALLASSEE,AL,36078,ELMORE,(334) 283-6541,Acute Care Hospitals,Voluntary non-profit - Private
+88554,RIDDLE MEMORIAL HOSPITAL,1068 WEST BALTIMORE PIKE,MEDIA,PA,19063,DELAWARE,(610) 566-9400,Acute Care Hospitals,Voluntary non-profit - Private
+23666,PARK ROYAL HOSPITAL,9241 PARK ROYAL DR,FORT MYERS,FL,33908,LEE,(239) 332-0125,Psychiatric,Proprietary
+51848,KAISER FOUNDATION HOSPITAL-MORENO VALLEY,27300 IRIS AVENUE,MORENO VALLEY,CA,92555,RIVERSIDE,(951) 251-6000,Acute Care Hospitals,Voluntary non-profit - Other
+88203,ST BERNARDINE MEDICAL CENTER,2101 N WATERMAN AVE,SAN BERNARDINO,CA,92404,SAN BERNARDINO,(909) 883-8711,Acute Care Hospitals,Voluntary non-profit - Private
+84364,EAST OHIO REGIONAL HOSPITAL,90 NORTH FOURTH STREET,MARTINS FERRY,OH,43935,BELMONT,(740) 633-4205,Acute Care Hospitals,Voluntary non-profit - Other
+86549,VAIL HEALTH HOSPITAL,181 W MEADOW DR,VAIL,CO,81657,EAGLE,(970) 476-2451,Acute Care Hospitals,Voluntary non-profit - Other
+86793,PROVO CANYON BEHAVIORAL HOSPITAL,1350 EAST 750 NORTH,OREM,UT,84097,UTAH,(801) 852-2273,Psychiatric,Proprietary
+40606,SCOTLAND MEMORIAL HOSPITAL,500 LAUCHWOOD DR,LAURINBURG,NC,28352,SCOTLAND,(910) 291-7000,Acute Care Hospitals,Voluntary non-profit - Private
+25104,PARK PLAZA HOSPITAL,1313 HERMANN DR,HOUSTON,TX,77004,HARRIS,(713) 527-5019,Acute Care Hospitals,Proprietary
+32793,MARY IMOGENE BASSETT HOSPITAL,ONE ATWELL ROAD,COOPERSTOWN,NY,13326,OTSEGO,(607) 547-3456,Acute Care Hospitals,Voluntary non-profit - Private
+22402,AVERA ST LUKES,305 S STATE ST  POST OFFICE BOX 4450,ABERDEEN,SD,57401,BROWN,(605) 622-5000,Acute Care Hospitals,Voluntary non-profit - Church
+36045,KAISER FOUNDATION HOSPITAL - FREMONT,39400 PASEO PADRE PKWY,FREMONT,CA,94538,ALAMEDA,(510) 784-4000,Acute Care Hospitals,Voluntary non-profit - Private
+53588,THE MEDICAL CENTER AT BOWLING GREEN,250 PARK STREET,BOWLING GREEN,KY,42101,WARREN,(270) 745-1000,Acute Care Hospitals,Voluntary non-profit - Private
+41153,ST MARKS MEDICAL CENTER,ONE ST MARK'S PLACE,LA GRANGE,TX,78945,FAYETTE,(979) 242-2200,Acute Care Hospitals,Voluntary non-profit - Private
+46863,LEE MEMORIAL HOSPITAL,2776 CLEVELAND AVE,FORT MYERS,FL,33901,LEE,(239) 332-1111,Acute Care Hospitals,Government - Hospital District or Authority
+89047,KEARNY COUNTY HOSPITAL,500 THORPE STREET,LAKIN,KS,67860,KEARNY,(620) 355-7111,Critical Access Hospitals,Government - Local
+94952,ST ANDREWS HEALTH CENTER - CAH,316 OHMER STREET,BOTTINEAU,ND,58318,BOTTINEAU,(701) 228-9300,Critical Access Hospitals,Voluntary non-profit - Church
+81686,CLARA MAASS MEDICAL CENTER,ONE CLARA MAASS DRIVE,BELLEVILLE,NJ,7109,ESSEX,(973) 450-2002,Acute Care Hospitals,Voluntary non-profit - Private
+16438,NORTH MEMORIAL HEALTH,3300 OAKDALE NORTH,ROBBINSDALE,MN,55422,HENNEPIN,(763) 520-5200,Acute Care Hospitals,Voluntary non-profit - Private
+73164,OCEANS BEHAVIORAL HOSPITAL OF ABILENE,6401 DIRECTORS PARKWAY,ABILENE,TX,79606,TAYLOR,(329) 691-0030,Psychiatric,Proprietary
+25513,ADAMS COUNTY REGIONAL MEDICAL CENTER,230 MEDICAL CENTER DRIVE,SEAMAN,OH,45679,ADAMS,(937) 386-3400,Critical Access Hospitals,Government - Local
+61749,STATE HOSPITAL SOUTH,700 EAST ALICE STREET,BLACKFOOT,ID,83221,BINGHAM,(208) 785-1200,Psychiatric,Government - State
+10149,NELL J REDFIELD MEMORIAL HOSPITAL,150 NORTH 200 WEST,MALAD,ID,83252,ONEIDA,(208) 766-2231,Critical Access Hospitals,Government - Local
+83010,WOMEN & INFANTS HOSPITAL OF RHODE ISLAND,101 DUDLEY STREET,PROVIDENCE,RI,2905,PROVIDENCE,(401) 274-1100,Acute Care Hospitals,Voluntary non-profit - Private
+10261,LAC+USC MEDICAL CENTER,"1200 N STATE ST, ROOM C2K100",LOS ANGELES,CA,90033,LOS ANGELES,(323) 226-2800,Acute Care Hospitals,Government - Local
+27332,"BROOKHAVEN HOSPITAL, INC",201 SOUTH GARNETT ROAD,TULSA,OK,74128,TULSA,(918) 438-4257,Psychiatric,Proprietary
+63780,"BEAUMONT HOSPITAL, ROYAL OAK",3601 W THIRTEEN MILE RD,ROYAL OAK,MI,48073,OAKLAND,(248) 898-5000,Acute Care Hospitals,Voluntary non-profit - Private
+25747,DR JOHN C CORRIGAN MENTAL HEALTH CENTER,49 HILLSIDE STREET,FALL RIVER,MA,2720,BRISTOL,(508) 235-7600,Psychiatric,Government - State
+58629,WHITMAN HOSPITAL AND MEDICAL CENTER,1200 WEST FAIRVIEW,COLFAX,WA,99111,WHITMAN,(509) 397-3435,Critical Access Hospitals,Government - Hospital District or Authority
+39717,ST JOSEPH'S HOSPITAL,350 NORTH WILMOT ROAD,TUCSON,AZ,85711,PIMA,(520) 873-3000,Acute Care Hospitals,Voluntary non-profit - Other
+13698,CORDELL MEMORIAL HOSPITAL,1220 NORTH GLENN ENGLISH STREET,CORDELL,OK,73632,WASHITA,(580) 832-3339,Critical Access Hospitals,Government - Local
+92475,ANNA JAQUES HOSPITAL,25 HIGHLAND AVENUE,NEWBURYPORT,MA,1950,ESSEX,(978) 463-1000,Acute Care Hospitals,Voluntary non-profit - Private
+87526,OCHSNER MEDICAL CENTER,1516 JEFFERSON HWY,NEW ORLEANS,LA,70121,JEFFERSON,(504) 842-3000,Acute Care Hospitals,Voluntary non-profit - Private
+20166,NORTHERN LIGHT INLAND HOSPITAL,200 KENNEDY MEMORIAL DRIVE,WATERVILLE,ME,4901,KENNEBEC,(207) 861-3000,Acute Care Hospitals,Proprietary
+19754,WATERTOWN REGIONAL MEDICAL CENTER,125 HOSPITAL DRIVE,WATERTOWN,WI,53098,DODGE,(920) 261-4210,Acute Care Hospitals,Voluntary non-profit - Private
+18688,THEDACARE MEDICAL CENTER - WAUPACA INC,800 RIVERSIDE DRIVE,WAUPACA,WI,54981,WAUPACA,(715) 258-1000,Critical Access Hospitals,Voluntary non-profit - Private
+84986,BAYLOR SCOTT AND WHITE  MEDICAL CENTER  MCKINNEY,5252 WEST UNIVERSITY DRIVE,MC KINNEY,TX,75071,COLLIN,(469) 764-2200,Acute Care Hospitals,Voluntary non-profit - Private
+91933,"ST JOHN BROKEN ARROW, INC",1000 WEST BOISE CIRCLE,BROKEN ARROW,OK,74012,TULSA,(918) 994-8100,Acute Care Hospitals,Voluntary non-profit - Private
+40390,ADVENTIST HINSDALE HOSPITAL,120 NORTH OAK ST,HINSDALE,IL,60521,DU PAGE,(630) 856-9000,Acute Care Hospitals,Voluntary non-profit - Private
+17518,GREELEY COUNTY HEALTH SERVICES,506 3RD STREET,TRIBUNE,KS,67879,GREELEY,(620) 376-4221,Critical Access Hospitals,Government - Local
+83588,MANHATTAN SURGICAL HOSPITAL LLC,1829 COLLEGE AVENUE,MANHATTAN,KS,66502,RILEY,(785) 776-5100,Acute Care Hospitals,Physician
+23689,ROOSEVELT GENERAL HOSPITAL,42121 US HIGHWAY 70,PORTALES,NM,88130,ROOSEVELT,(575) 359-1800,Acute Care Hospitals,Government - State
+85456,TENNOVA HEALTHCARE-LEBANON,1411 BADDOUR PARKWAY,LEBANON,TN,37087,WILSON,(615) 444-8262,Acute Care Hospitals,Voluntary non-profit - Private
+60196,KAISER FOUNDATION HOSPITAL - OAKLAND/RICHMOND,275 WEST MACARTHUR BOULEVARD,OAKLAND,CA,94611,ALAMEDA,(510) 752-1000,Acute Care Hospitals,Voluntary non-profit - Private
+64350,HARRISON MEMORIAL HOSPITAL,1210 KY HWY 36 E,CYNTHIANA,KY,41031,HARRISON,(859) 234-2300,Acute Care Hospitals,Voluntary non-profit - Other
+51067,TOLEDO HOSPITAL THE,2142 NORTH COVE BOULEVARD,TOLEDO,OH,43606,LUCAS,(419) 291-7463,Acute Care Hospitals,Voluntary non-profit - Private
+24017,SHADOW MOUNTAIN BEHAVIORAL HEALTH SYSTEM,6262 SOUTH SHERIDAN ROAD,TULSA,OK,74133,TULSA,(918) 492-8200,Psychiatric,Proprietary
+67248,DORMINY MEDICAL CENTER,"200 PERRY HOUSE ROAD, BOX 1447",FITZGERALD,GA,31750,BEN HILL,(229) 424-7100,Acute Care Hospitals,Government - Local
+85340,MILE BLUFF MEDICAL CENTER,1050 DIVISION ST,MAUSTON,WI,53948,JUNEAU,(608) 847-6161,Acute Care Hospitals,Proprietary
+76013,COMMUNITY MEMORIAL HOSPITAL SAN BUENAVENTURA,147 N BRENT ST,VENTURA,CA,93003,VENTURA,(805) 652-5011,Acute Care Hospitals,Voluntary non-profit - Private
+82021,MIRACLEMILE MEDICAL CENTER,6000 SAN VICENTE BLVD,LOS ANGELES,CA,90036,LOS ANGELES,(323) 930-1040,Acute Care Hospitals,Proprietary
+85397,SAN JORGE CHILDRENS HOSPITAL INC,258 SAN JORGE STREET,SAN JUAN,PR,912,SAN JUAN,(787) 727-1000,Acute Care Hospitals,Proprietary
+70212,COMMUNITY MEMORIAL HOSPITAL MEDICAL CENTER,909 WEST FIRST STREET,SUMNER,IA,50674,BREMER,(563) 578-3275,Critical Access Hospitals,Voluntary non-profit - Private
+46075,"BEAUMONT HOSPITAL, GROSSE POINTE",468 CADIEUX RD,GROSSE POINTE,MI,48230,WAYNE,(313) 343-1000,Acute Care Hospitals,Voluntary non-profit - Private
+81229,MONROE HOSPITAL,4011 S MONROE MEDICAL PARK BLVD,BLOOMINGTON,IN,47403,MONROE,(812) 825-1111,Acute Care Hospitals,Proprietary
+13823,LEGACY SALMON CREEK MEDICAL CENTER,2211 NE 139TH STREET,VANCOUVER,WA,98686,CLARK,(360) 487-1000,Acute Care Hospitals,Voluntary non-profit - Private
+90766,SSM HEALTH ST CLARE HOSPITAL - FENTON,1015 BOWLES,FENTON,MO,63026,JEFFERSON,(636) 496-2000,Acute Care Hospitals,Voluntary non-profit - Private
+52327,ESSENTIA HEALTH SANDSTONE,705 LUNDORFF DRIVE SOUTH,SANDSTONE,MN,55072,PINE,(320) 245-2212,Critical Access Hospitals,Voluntary non-profit - Private
+24658,SANFORD CLEAR LAKE MEDICAL CENTER,701 THIRD AVENUE SOUTH,CLEAR LAKE,SD,57226,DEUEL,(605) 874-2141,Critical Access Hospitals,Voluntary non-profit - Private
+52672,WESTSIDE REGIONAL MEDICAL CENTER,8201 W BROWARD BLVD,PLANTATION,FL,33324,BROWARD,(954) 473-6600,Acute Care Hospitals,Proprietary
+68824,SANFORD LUVERNE MEDICAL CENTER,1600 N KNISS AVENUE P O BOX 1019,LUVERNE,MN,56156,ROCK,(507) 283-2321,Critical Access Hospitals,Voluntary non-profit - Private
+83126,FORREST GENERAL HOSPITAL,6051 US HIGHWAY 49,HATTIESBURG,MS,39404,FORREST,(601) 288-7000,Acute Care Hospitals,Government - Local
+36607,WASHINGTON COUNTY HOSP INC,958 US HWY 64 EAST,PLYMOUTH,NC,27962,WASHINGTON,(252) 793-4135,Critical Access Hospitals,Proprietary
+20645,PROVIDENCE WILLAMETTE FALLS MEDICAL CENTER,1500 DIVISION STREET,OREGON CITY,OR,97045,CLACKAMAS,(503) 657-6915,Acute Care Hospitals,Voluntary non-profit - Private
+58582,BROWN COUNTY HOSPITAL,945 EAST ZERO ST,AINSWORTH,NE,69210,BROWN,(402) 387-2800,Critical Access Hospitals,Government - Local
+20341,CONNECTICUT VALLEY HOSP,SILVER ST,MIDDLETOWN,CT,6457,MIDDLESEX,(203) 344-2666,Psychiatric,Government - State
+78420,BRIGHAM CITY COMMUNITY HOSPITAL,950 SOUTH MEDICAL DRIVE,BRIGHAM CITY,UT,84302,BOX ELDER,(435) 734-9471,Acute Care Hospitals,Proprietary
+41281,PROV SACRED HRT MED CTR & CHILDS HOSP.,101 WEST 8TH AVENUE,SPOKANE,WA,99204,SPOKANE,(509) 474-3040,Acute Care Hospitals,Voluntary non-profit - Church
+72784,OHIO VALLEY SURGICAL HOSPITAL,100 WEST MAIN STREET,SPRINGFIELD,OH,45502,CLARK,(937) 521-3900,Acute Care Hospitals,Voluntary non-profit - Private
+67699,LUCAS COUNTY HEALTH CENTER,1200 NORTH 7TH STREET,CHARITON,IA,50049,LUCAS,(641) 774-3000,Critical Access Hospitals,Voluntary non-profit - Other
+45693,HALIFAX REGIONAL MEDICAL CENTER INC,250 SMITH CHURCH RD,ROANOKE RAPIDS,NC,27870,HALIFAX,(252) 535-8005,Acute Care Hospitals,Voluntary non-profit - Private
+32650,MEMORIAL HOSPITAL,500 LONDON AVENUE,MARYSVILLE,OH,43040,UNION,(937) 578-2289,Acute Care Hospitals,Government - Local
+14669,HOUSTON BEHAVIORAL HEALTHCARE HOSPITAL LLC,2801 GESSNER ROAD,HOUSTON,TX,77080,HARRIS,(832) 834-7710,Psychiatric,Proprietary
+92515,ATRIUM HEALTH KINGS MOUNTAIN,706 W KING ST,KINGS MOUNTAIN,NC,28086,CLEVELAND,(704) 739-3601,Acute Care Hospitals,Government - Hospital District or Authority
+22299,GRACIE SQUARE HOSP,420 EAST 76 ST,NEW YORK,NY,10021,NEW YORK,(212) 434-5322,Psychiatric,Voluntary non-profit - Private
+81350,UNITED MEMORIAL MEDICAL CENTER,127 NORTH STREET,BATAVIA,NY,14020,GENESEE,(585) 343-6030,Acute Care Hospitals,Voluntary non-profit - Private
+49935,MILLWOOD HOSPITAL,1011 NORTH COOPER STREET,ARLINGTON,TX,76011,TARRANT,(817) 261-3121,Psychiatric,Proprietary
+69051,ST BERNARD PARISH HOSPITAL,8000 WEST JUDGE PEREZ DRIVE,CHALMETTE,LA,70043,ST. BERNARD,(504) 826-9500,Acute Care Hospitals,Government - Hospital District or Authority
+15517,SAN MATEO MEDICAL CENTER,222 W 39TH AVE,SAN MATEO,CA,94403,SAN MATEO,(650) 573-2222,Acute Care Hospitals,Government - Local
+14300,PIEDMONT HENRY HOSPITAL,1133 EAGLE'S LANDING PARKWAY,STOCKBRIDGE,GA,30281,HENRY,(678) 604-1000,Acute Care Hospitals,Government - Hospital District or Authority
+29960,CENTRO MEDICO WILMA N VAZQUEZ,CARR. 2 KM 39.5    ROAD NUMBER 2 BO ALGARROBO,VEGA BAJA,PR,693,VEGA BAJA,(787) 858-1580,Acute Care Hospitals,Proprietary
+19880,OTIS R BOWEN CENTER FOR HUMAN SERVICES INC,9 PEQUIGNOT DR,PIERCETON,IN,46562,KOSCIUSKO,(574) 267-7169,Psychiatric,Voluntary non-profit - Private
+41061,ST JOHNS HOSPITAL,800 E CARPENTER ST,SPRINGFIELD,IL,62769,SANGAMON,(217) 544-6464,Acute Care Hospitals,Voluntary non-profit - Church
+58017,"MERCY HOSPITAL, INC",218 E PACK STREET,MOUNDRIDGE,KS,67107,MCPHERSON,(620) 345-6391,Acute Care Hospitals,Voluntary non-profit - Church
+49177,ST LUKE'S MAGIC VALLEY RMC,801 POLE LINE ROAD WEST,TWIN FALLS,ID,83301,TWIN FALLS,(208) 814-1000,Acute Care Hospitals,Voluntary non-profit - Private
+44979,VIRTUA OUR LADY OF LOURDES HOSPITAL,1600 HADDON AVENUE,CAMDEN,NJ,8103,CAMDEN,(856) 580-6330,Acute Care Hospitals,Voluntary non-profit - Private
+11726,HAMPTON BEHAVIORAL HEALTH SYSTEM,650 RANCOCAS ROAD,WESTAMPTON,NJ,8060,BURLINGTON,(609) 267-7000,Psychiatric,Proprietary
+47676,SANTIAM HOSPITAL,1401 N 10TH AVENUE,STAYTON,OR,97383,MARION,(503) 769-2175,Acute Care Hospitals,Voluntary non-profit - Private
+17731,HIGHLAND-CLARKSBURG HOSPITAL INC,3 HOSPITAL PLAZA,CLARKSBURG,WV,26301,HARRISON,(304) 622-4951,Psychiatric,Voluntary non-profit - Private
+18988,ST MARYS HOSPITAL,1800 E LAKE SHORE DR,DECATUR,IL,62521,MACON,(217) 464-2966,Acute Care Hospitals,Voluntary non-profit - Private
+37715,CHILDREN'S HOSPITAL AT MISSION,"27700 MEDICAL CENTER RD, 5TH FLOOR",MISSION VIEJO,CA,92691,ORANGE,(949) 365-2408,Childrens,Voluntary non-profit - Private
+10001,"SUMMIT MEDICAL CENTER, LLC",1800 SOUTH RENAISSANCE BOULEVARD,EDMOND,OK,73013,OKLAHOMA,(405) 359-2400,Acute Care Hospitals,Physician
+11387,MEDICAL COLLEGE OF VIRGINIA HOSPITALS,BOX 980510   1250 EAST MARSHALL STREET,RICHMOND,VA,23298,RICHMOND CITY,(804) 828-0938,Acute Care Hospitals,Government - Hospital District or Authority
+80232,ASCENSION CALUMET HOSPITAL,614 MEMORIAL DRIVE,CHILTON,WI,53014,CALUMET,(920) 849-2386,Critical Access Hospitals,Voluntary non-profit - Private
+66565,MERCY HOSPITAL,4050 COON RAPIDS BLVD,COON RAPIDS,MN,55433,ANOKA,(762) 236-8100,Acute Care Hospitals,Voluntary non-profit - Private
+50297,MEMORIAL HERMANN SURGICAL HOSPITAL KINGWOOD,300 KINGWOOD MEDICAL DRIVE,KINGWOOD,TX,77339,HARRIS,(281) 312-4000,Acute Care Hospitals,Proprietary
+25645,ST LUKE'S REGIONAL MEDICAL CENTER,190 EAST BANNOCK STREET,BOISE,ID,83712,ADA,(208) 381-2222,Acute Care Hospitals,Voluntary non-profit - Private
+73398,WEIRTON MEDICAL CENTER,601 COLLIERS WAY,WEIRTON,WV,26062,HANCOCK,(304) 797-6000,Acute Care Hospitals,Government - Local
+58842,ANMED HEALTH,800 N FANT ST,ANDERSON,SC,29621,ANDERSON,(864) 512-2830,Acute Care Hospitals,Voluntary non-profit - Private
+94169,ST MARY'S REGIONAL MEDICAL CENTER,305 SOUTH 5TH STREET,ENID,OK,73701,GARFIELD,(580) 233-6100,Acute Care Hospitals,Proprietary
+10193,RIVERVIEW BEHAVIORAL HEALTH,701 ARKANSAS BOULEVARD SUITE 300,TEXARKANA,AR,71854,MILLER,(870) 772-5028,Psychiatric,Proprietary
+73296,MCLAREN OAKLAND,50 N PERRY ST,PONTIAC,MI,48342,OAKLAND,(248) 338-5000,Acute Care Hospitals,Voluntary non-profit - Private
+19843,KAISER FOUNDATION HOSP SO SACRAMENTO,6600 BRUCEVILLE ROAD,SACRAMENTO,CA,95823,SACRAMENTO,(916) 688-2000,Acute Care Hospitals,Voluntary non-profit - Private
+79801,MORTON PLANT HOSPITAL,300 PINELLAS ST,CLEARWATER,FL,33756,PINELLAS,(727) 462-7000,Acute Care Hospitals,Voluntary non-profit - Private
+31748,LAWRENCE MEDICAL CENTER,202 HOSPITAL STREET,MOULTON,AL,35650,LAWRENCE,(256) 974-2200,Acute Care Hospitals,Government - Hospital District or Authority
+43992,PHELPS HEALTH,1000 W 10TH ST,ROLLA,MO,65401,PHELPS,(573) 458-8899,Acute Care Hospitals,Government - Local
+28262,PREVOST MEMORIAL HOSPITAL,301 MEMORIAL DR,DONALDSONVILLE,LA,70346,ASCENSION,(225) 474-2133,Critical Access Hospitals,Government - Hospital District or Authority
+38464,GIBSON COMMUNITY HOSPITAL,1120 N MELVIN STREET,GIBSON CITY,IL,60936,FORD,(217) 784-4251,Critical Access Hospitals,Voluntary non-profit - Private
+38989,MEDICAL CITY ALLIANCE,3101 NORTH TARRANT PARKWAY,FORT WORTH,TX,76177,TARRANT,(817) 639-1100,Acute Care Hospitals,Voluntary non-profit - Private
+48173,DELNOR COMMUNITY HOSPITAL,300 RANDALL RD,GENEVA,IL,60134,KANE,(630) 208-3000,Acute Care Hospitals,Voluntary non-profit - Private
+94877,SOUTH SHORE HOSPITAL,55 FOGG ROAD,SOUTH WEYMOUTH,MA,2190,NORFOLK,(781) 340-8000,Acute Care Hospitals,Voluntary non-profit - Private
+42431,UNIVERSITY OF WI  HOSPITALS & CLINICS AUTHORITY,600 HIGHLAND AVENUE,MADISON,WI,53792,DANE,(608) 261-0025,Acute Care Hospitals,Government - Hospital District or Authority
+47951,ASCENSION GOOD SAMARITAN HOSPITAL,601 S CENTER AVE,MERRILL,WI,54452,LINCOLN,(715) 536-5511,Critical Access Hospitals,Voluntary non-profit - Church
+91047,CARROLL COUNTY MEMORIAL HOSPITAL,309 ELEVENTH STREET,CARROLLTON,KY,41008,CARROLL,(502) 732-4321,Critical Access Hospitals,Voluntary non-profit - Private
+58818,SUNRISE HOSPITAL AND MEDICAL CENTER,3186 S MARYLAND PKWY,LAS VEGAS,NV,89109,CLARK,(702) 731-8000,Acute Care Hospitals,Proprietary
+16610,SUN BEHAVIORAL COLUMBUS,900 EAST DUBLIN GRANVILLE ROAD,COLUMBUS,OH,43229,FRANKLIN,(614) 706-2876,Psychiatric,Voluntary non-profit - Private
+54699,PROMEDICA HERRICK HOSPITAL,500 E POTTAWATAMIE STREET,TECUMSEH,MI,49286,LENAWEE,(517) 424-3000,Critical Access Hospitals,Government - Federal
+56928,WISHEK COMMUNITY HOSPITAL,1007 4TH AVE S,WISHEK,ND,58495,MCINTOSH,(701) 452-2326,Critical Access Hospitals,Government - Local
+53458,CHIPPEWA COUNTY HOSPITAL,824 NORTH 11TH STREET,MONTEVIDEO,MN,56265,CHIPPEWA,(320) 269-8877,Critical Access Hospitals,Government - Local
+61632,WRAY COMMUNITY DISTRICT HOSPITAL,1017 WEST 7TH ST,WRAY,CO,80758,YUMA,(970) 332-4811,Critical Access Hospitals,Government - Hospital District or Authority
+29394,ST VINCENT JENNINGS HOSPITAL INC,301 HENRY ST,NORTH VERNON,IN,47265,JENNINGS,(812) 352-4200,Critical Access Hospitals,Voluntary non-profit - Church
+64584,DIXIE REGIONAL MEDICAL CENTER,1380 EAST MEDICAL CENTER DRIVE,ST GEORGE,UT,84790,WASHINGTON,(435) 251-2100,Acute Care Hospitals,Voluntary non-profit - Private
+19763,"KANSAS SPINE & SPECIALTY HOSPITAL, LLC",3333 NORTH WEBB ROAD,WICHITA,KS,67226,SEDGWICK,(316) 462-5326,Acute Care Hospitals,Physician
+89159,PRESBYTERIAN ESPANOLA HOSPITAL,1010 SPRUCE STREET,ESPANOLA,NM,87532,RIO ARRIBA,(505) 753-1502,Acute Care Hospitals,Voluntary non-profit - Private
+12415,KAISER FOUNDATION HOSPITAL - WALNUT CREEK,1425 S MAIN STREET,WALNUT CREEK,CA,94596,CONTRA COSTA,(925) 295-4000,Acute Care Hospitals,Voluntary non-profit - Private
+76677,ST CHRISTOPHER'S HOSPITAL FOR CHILDREN,160 EAST ERIE AVE,PHILADELPHIA,PA,19134,PHILADELPHIA,(215) 427-5000,Childrens,Proprietary
+57385,TUG VALLEY ARH REGIONAL MEDICAL CENTER,260 HOSPITAL DRIVE,SOUTH WILLIAMSON,KY,41503,PIKE,(606) 237-1700,Acute Care Hospitals,Proprietary
+48574,MORRIS COUNTY HOSPITAL,600 N WASHINGTON ST,COUNCIL GROVE,KS,66846,MORRIS,(620) 767-6811,Critical Access Hospitals,Government - Local
+33621,AULTMAN ORRVILLE HOSPITAL,832 SOUTH MAIN STREET,ORRVILLE,OH,44667,WAYNE,(330) 682-3010,Critical Access Hospitals,Voluntary non-profit - Private
+61438,CASSIA REGIONAL HOSPITAL,1501 HILAND AVENUE,BURLEY,ID,83318,CASSIA,(208) 678-4444,Critical Access Hospitals,Voluntary non-profit - Private
+24506,HIGHLINE MEDICAL CENTER,16251 SYLVESTER ROAD SW,BURIEN,WA,98166,KING,(206) 244-9970,Acute Care Hospitals,Voluntary non-profit - Private
+41982,GLENDIVE MEDICAL CENTER,202 PROSPECT DR,GLENDIVE,MT,59330,DAWSON,(406) 345-3306,Critical Access Hospitals,Voluntary non-profit - Other
+50961,ANOKA-METRO REG TREATMENT CTR,3301 SEVENTH AVE NORTH,ANOKA,MN,55303,ANOKA,(651) 431-5003,Psychiatric,Government - State
+78256,WARREN GENERAL HOSPITAL,TWO CRESCENT PARK WEST,WARREN,PA,16365,WARREN,(814) 723-3300,Acute Care Hospitals,Voluntary non-profit - Private
+80304,LAKE PINES HOSPITAL,3639 LOYOLA AVENUE,KENNER,LA,70065,JEFFERSON,(504) 305-2700,Psychiatric,Proprietary
+74266,NOVANT HEALTH BRUNSWICK MEDICAL CENTER,1 MEDICAL CENTER DR  PO BOX 139,SUPPLY,NC,28462,BRUNSWICK,(910) 755-8121,Acute Care Hospitals,Voluntary non-profit - Other
+32955,SAINT JOSEPH HOSPITAL,1375 E 19TH AVE,DENVER,CO,80218,DENVER,(303) 812-2000,Acute Care Hospitals,Voluntary non-profit - Private
+75605,"OAKWOOD SPRINGS, LLC",13101 MEMORIAL SPRINGS CT,OKLAHOMA CITY,OK,73114,OKLAHOMA,(405) 438-3000,Psychiatric,Proprietary
+25321,SOUTHWEST HEALTH CENTER,1400 EAST SIDE RD,PLATTEVILLE,WI,53818,GRANT,(608) 348-2331,Critical Access Hospitals,Voluntary non-profit - Private
+91371,EMORY JOHNS CREEK HOSPITAL,6325 HOSPITAL PARKWAY,JOHNS CREEK,GA,30097,GWINNETT,(678) 474-7000,Acute Care Hospitals,Proprietary
+23009,GUADALUPE COUNTY HOSPITAL,"117 CAMINO DE VIDA, SUITE 100",SANTA ROSA,NM,88435,GUADALUPE,(575) 472-3417,Acute Care Hospitals,Government - Local
+46106,THE CENTER FOR FORENSIC PSYCHIATRY,8303 PLATT ROAD,SALINE,MI,48176,WASHTENAW,(734) 429-2531,Psychiatric,Government - State
+90172,UNIVERSITY PEDIATRIC HOSPITAL,PUERTO RICO MEDICAL CENTER IN RIO PIEDRAS,SAN JUAN,PR,935,SAN JUAN,(787) 777-3232,Childrens,Government - State
+36063,CONCORD HOSPITAL,250 PLEASANT ST,CONCORD,NH,3301,MERRIMACK,(603) 225-2711,Acute Care Hospitals,Voluntary non-profit - Private
+28522,FAIRBANKS,8102 CLEARVISTA PARKWAY,INDIANAPOLIS,IN,46256,MARION,(317) 849-8222,Acute Care Hospitals,Voluntary non-profit - Private
+78724,WEST JEFFERSON MEDICAL CENTER,1101 MEDICAL CENTER BLVD,MARRERO,LA,70072,JEFFERSON,(504) 347-5511,Acute Care Hospitals,Voluntary non-profit - Private
+45757,AURORA VISTA DEL MAR HOSPITAL,801 SENECA ST,VENTURA,CA,93001,VENTURA,(805) 653-6434,Psychiatric,Proprietary
+68854,KIOWA DISTRICT HOSPITAL,1002 SOUTH 4TH STREET,KIOWA,KS,67070,BARBER,(620) 825-4131,Critical Access Hospitals,Government - Hospital District or Authority
+78732,FIRST CARE HEALTH CENTER,115 VIVIAN ST,PARK RIVER,ND,58270,WALSH,(701) 284-7500,Critical Access Hospitals,Voluntary non-profit - Private
+37792,LIFESTREAM BEHAVIORAL CENTER,2020 TALLY RD,LEESBURG,FL,34748,LAKE,(352) 315-7800,Psychiatric,Voluntary non-profit - Private
+47570,JEFFERSON COUNTY HEALTH CENTER,2000 S MAIN,FAIRFIELD,IA,52556,JEFFERSON,(641) 472-4111,Critical Access Hospitals,Government - Local
+39032,KALKASKA MEMORIAL HEALTH CENTER,419 S CORAL,KALKASKA,MI,49646,KALKASKA,(231) 258-7500,Critical Access Hospitals,Government - Hospital District or Authority
+33205,ADVENTIST HEALTH HOWARD MEMORIAL,1 MARCELA DR,WILLITS,CA,95490,MENDOCINO,(707) 456-3031,Critical Access Hospitals,Voluntary non-profit - Church
+30238,BAYLOR SCOTT &  WHITE MEDICAL CENTER - CENTENNIAL,12505 LEBANON ROAD,FRISCO,TX,75035,COLLIN,(972) 963-3333,Acute Care Hospitals,Voluntary non-profit - Other
+61685,ST LUKE'S THE WOODLANDS HOSPITAL,17200 ST LUKE'S WAY,THE WOODLANDS,TX,77384,MONTGOMERY,(936) 266-4050,Acute Care Hospitals,Voluntary non-profit - Private
+35353,PEACEHEALTH ST JOHN MEDICAL CENTER,1615 DELAWARE STREET,LONGVIEW,WA,98632,COWLITZ,(360) 414-2000,Acute Care Hospitals,Voluntary non-profit - Church
+38375,LAS PALMAS MEDICAL CENTER,1801 NORTH OREGON STREET,EL PASO,TX,79902,EL PASO,(915) 521-1200,Acute Care Hospitals,Proprietary
+40338,UNITED HOSPITAL DISTRICT,"515 SOUTH MOORE STREET, PO BOX 160",BLUE EARTH,MN,56013,FARIBAULT,(507) 526-3273,Critical Access Hospitals,Government - Hospital District or Authority
+87601,MARSHALL COUNTY HEALTHCARE CENTER - CAH,413 9TH STREET,BRITTON,SD,57430,MARSHALL,(605) 448-2253,Critical Access Hospitals,Proprietary
+74348,CAPE FEAR VALLEY MEDICAL CENTER,1638 OWEN DRIVE P O BOX 2000,FAYETTEVILLE,NC,28302,CUMBERLAND,(910) 609-4000,Acute Care Hospitals,Voluntary non-profit - Private
+50818,WAUKESHA COUNTY MENTAL HEALTH CTR,1501 AIRPORT RD,WAUKESHA,WI,53188,WAUKESHA,(262) 548-7950,Psychiatric,Government - Local
+37330,SAINT ALPHONSUS REGIONAL MEDICAL CENTER,1055 NORTH CURTIS ROAD,BOISE,ID,83706,ADA,(208) 367-2121,Acute Care Hospitals,Voluntary non-profit - Church
+64176,HUNTSVILLE MEMORIAL HOSPITAL,110 MEMORIAL HOSPITAL DRIVE,HUNTSVILLE,TX,77340,WALKER,(936) 291-3411,Acute Care Hospitals,Voluntary non-profit - Private
+28897,NORTHWEST MEDICAL CENTER,6200 NORTH LA CHOLLA BOULEVARD,TUCSON,AZ,85741,PIMA,(520) 469-8100,Acute Care Hospitals,Proprietary
+68607,OSF SAINT ANTHONY'S HEALTH CENTER,ST ANTHONY'S WAY,ALTON,IL,62002,MADISON,(618) 465-2571,Acute Care Hospitals,Voluntary non-profit - Church
+85151,PERSHING GENERAL HOSPITAL,855 6TH STREET/PO BOX 661,LOVELOCK,NV,89419,PERSHING,(775) 273-2621,Critical Access Hospitals,Government - Hospital District or Authority
+21068,ADVOCATE CONDELL MEDICAL CENTER,801 S MILWAUKEE AVE,LIBERTYVILLE,IL,60048,LAKE,(847) 362-2900,Acute Care Hospitals,Voluntary non-profit - Private
+35779,"WALDEN BEHAVIORAL CARE, LLC",9 HOPE AVENUE,WALTHAM,MA,2453,MIDDLESEX,(781) 647-6727,Psychiatric,Government - Federal
+65074,TYLER COUNTY HOSPITAL,1100 WEST BLUFF,WOODVILLE,TX,75979,TYLER,(409) 283-8141,Acute Care Hospitals,Government - Hospital District or Authority
+74422,INTRACARE NORTH HOSPITAL,1120 CYPRESS STATION DR,HOUSTON,TX,77090,HARRIS,(281) 893-7200,Psychiatric,Voluntary non-profit - Private
+66899,OAKLAWN HOSPITAL,200 N MADISON,MARSHALL,MI,49068,CALHOUN,(269) 781-4271,Acute Care Hospitals,Voluntary non-profit - Other
+45415,CASA COLINA HOSPITAL,255 E BONITA AVE,POMONA,CA,91767,LOS ANGELES,(909) 596-7733,Acute Care Hospitals,Voluntary non-profit - Private
+11374,SUN BEHAVIORAL HEALTH,820 DOLWICK DRIVE,ERLANGER,KY,41018,KENTON,(859) 429-5188,Psychiatric,Voluntary non-profit - Private
+70704,NORTHERN ROCKIES MEDICAL CENTER,802 2ND ST SE,CUT BANK,MT,59427,GLACIER,(406) 873-2251,Critical Access Hospitals,Voluntary non-profit - Private
+15510,SEBASTICOOK VALLEY HEALTH,447 NORTH MAIN STREET,PITTSFIELD,ME,4967,SOMERSET,(207) 487-5141,Critical Access Hospitals,Voluntary non-profit - Private
+90684,REID HEALTH,1100 REID PKWY,RICHMOND,IN,47374,WAYNE,(765) 983-3000,Acute Care Hospitals,Voluntary non-profit - Private
+62112,"NORTH OAKS MEDICAL CENTER, L L C",15790 PAUL VEGA MD DRIVE,HAMMOND,LA,70403,TANGIPAHOA,(985) 345-2700,Acute Care Hospitals,Government - Hospital District or Authority
+74977,MUNSON HEALTHCARE CADILLAC HOSPITAL,400 HOBART ST,CADILLAC,MI,49601,WEXFORD,(231) 876-7200,Acute Care Hospitals,Voluntary non-profit - Church
+12095,NORTHSIDE HOSPITAL CHEROKEE,450 NORTHSIDE CHEROKEE BOULEVARD,CANTON,GA,30115,CHEROKEE,(770) 244-1000,Acute Care Hospitals,Voluntary non-profit - Other
+75215,MISSOURI BAPTIST MEDICAL CENTER,3015 N BALLAS RD,TOWN AND COUNTRY,MO,63131,ST. LOUIS,(314) 996-5000,Acute Care Hospitals,Voluntary non-profit - Private
+12686,DOCTORS CENTER HOSPITAL BAYAMON,9 J STREET EXT HERMANAS DAVILA,BAYAMON,PR,959,BAYAMON,(787) 622-5420,Acute Care Hospitals,Proprietary
+40319,EVERGREENHEALTH MONROE,14701 179TH SE,MONROE,WA,98272,SNOHOMISH,(360) 794-7497,Acute Care Hospitals,Government - Hospital District or Authority
+83755,MAJOR HOSPITAL,2451 INTELLIPLEX DR,SHELBYVILLE,IN,46176,SHELBY,(317) 392-3211,Acute Care Hospitals,Government - Local
+82424,WINSTON MEDICAL CENTER & SWINGBED,17550 EAST MAIN STREET,LOUISVILLE,MS,39339,WINSTON,(662) 779-5124,Acute Care Hospitals,Proprietary
+16151,HIGHLANDS REGIONAL MEDICAL CENTER,3600 S HIGHLANDS AVE,SEBRING,FL,33870,HIGHLANDS,(863) 385-6101,Acute Care Hospitals,Proprietary
+70122,LAWRENCE MEMORIAL HOSPITAL,325 MAINE STREET,LAWRENCE,KS,66044,DOUGLAS,(785) 505-6100,Acute Care Hospitals,Government - Local
+22655,FLOYD CHEROKEE MEDICAL CENTER,400 NORTHWOOD DR,CENTRE,AL,35960,CHEROKEE,(256) 927-5531,Acute Care Hospitals,Voluntary non-profit - Private
+67325,SOUTH COUNTY HOSPITAL INC,100 KENYON AVE,WAKEFIELD,RI,2879,WASHINGTON,(401) 782-8020,Acute Care Hospitals,Voluntary non-profit - Private
+69122,TYRONE REGIONAL HEALTH NETWORK,187 HOSPITAL DRIVE,TYRONE,PA,16686,BLAIR,(814) 684-1255,Critical Access Hospitals,Voluntary non-profit - Private
+19959,RIVERSIDE DOCTORS' HOSPITAL OF WILLIAMSBURG,1500 COMMONWEALTH AVENUE,WILLIAMSBURG,VA,23185,JAMES CITY,(757) 345-3000,Acute Care Hospitals,Voluntary non-profit - Private
+27555,GLENS FALLS HOSPITAL,100 PARK STREET,GLENS FALLS,NY,12801,WARREN,(518) 926-1000,Acute Care Hospitals,Voluntary non-profit - Private
+25146,HCA HOUSTON HEALTHCARE NORTHWEST,710 CYPRESS CREEK PARKWAY,HOUSTON,TX,77090,HARRIS,(281) 440-1000,Acute Care Hospitals,Proprietary
+86856,VALLEY WEST COMMUNITY HOSPITAL,1301 NORTH MAIN STREET,SANDWICH,IL,60548,DE KALB,(815) 786-8484,Critical Access Hospitals,Voluntary non-profit - Private
+72406,SENTARA ALBEMARLE MEDICAL CENTER,1144 N ROAD ST,ELIZABETH CITY,NC,27909,PASQUOTANK,(252) 335-0531,Acute Care Hospitals,Government - Hospital District or Authority
+63487,FRANCISCAN HEALTH DYER,24 JOLIET ST,DYER,IN,46311,LAKE,(219) 865-2141,Acute Care Hospitals,Voluntary non-profit - Church
+26762,ST ANTHONY SUMMIT MEDICAL CENTER,340 PEAK ONE DRIVE,FRISCO,CO,80443,SUMMIT,(970) 668-3300,Acute Care Hospitals,Voluntary non-profit - Church
+40474,HCA HOUSTON HEALTHCARE SOUTHEAST,4000 SPENCER HWY,PASADENA,TX,77504,HARRIS,(713) 359-1000,Acute Care Hospitals,Proprietary
+47862,EVERGREEN MEDICAL CENTER,101 CRESTVIEW AVENUE,EVERGREEN,AL,36401,CONECUH,(251) 578-2480,Acute Care Hospitals,Proprietary
+48407,SANFORD ABERDEEN MEDICAL CENTER,2905 3RD AVE SE,ABERDEEN,SD,57402,BROWN,(605) 626-4200,Acute Care Hospitals,Voluntary non-profit - Private
+58784,MCLEOD HEALTH CHERAW,711 CHESTERFIELD HIGHWAY,CHERAW,SC,29520,CHESTERFIELD,(843) 537-7881,Acute Care Hospitals,Voluntary non-profit - Private
+79607,OAKLAWN PSYCHIATRIC CENTER INC,330 LAKEVIEW DR,GOSHEN,IN,46527,ELKHART,(574) 533-1234,Psychiatric,Voluntary non-profit - Private
+82980,BANNER GATEWAY MEDICAL CENTER,1900 NORTH HIGLEY ROAD,GILBERT,AZ,85234,MARICOPA,(480) 543-2000,Acute Care Hospitals,Voluntary non-profit - Other
+55467,NORTHSIDE HOSPITAL GWINNETT,1000 MEDICAL CENTER BOULEVARD,LAWRENCEVILLE,GA,30045,GWINNETT,(678) 312-1000,Acute Care Hospitals,Government - Hospital District or Authority
+64051,"PIEDMONT NEWNAN HOSPITAL, INC",745 POPLAR ROAD,NEWNAN,GA,30265,COWETA,(770) 400-2300,Acute Care Hospitals,Voluntary non-profit - Private
+57158,VENTURA COUNTY MEDICAL CENTER,300 HILLMONT AVENUE,VENTURA,CA,93003,VENTURA,(805) 652-6075,Acute Care Hospitals,Government - Local
+81602,NORTH VALLEY HEALTH CENTER,300 WEST GOOD SAMARITAN DRIVE,WARREN,MN,56762,MARSHALL,(218) 745-4211,Critical Access Hospitals,Voluntary non-profit - Private
+79048,SCHLEICHER COUNTY MEDICAL CENTER,102 NORTH US HIGHWAY 277,ELDORADO,TX,76936,SCHLEICHER,(325) 853-2507,Critical Access Hospitals,Proprietary
+78213,MERCY WALWORTH HOSPITAL & MEDICAL CENTER,N2950 STATE ROAD 67,LAKE GENEVA,WI,53147,WALWORTH,(262) 245-0535,Critical Access Hospitals,Voluntary non-profit - Private
+86114,GOLDEN PLAINS COMMUNITY HOSPITAL,100 MEDICAL DRIVE,BORGER,TX,79007,HUTCHINSON,(806) 273-1100,Critical Access Hospitals,Proprietary
+22258,MANNING REGIONAL HEALTHCARE CENTER,1550 SIXTH STREET,MANNING,IA,51455,CARROLL,(712) 655-2072,Critical Access Hospitals,Voluntary non-profit - Private
+63666,LOGAN COUNTY HOSPITAL,211 CHERRY AVENUE,OAKLEY,KS,67748,LOGAN,(785) 672-3211,Critical Access Hospitals,Government - Local
+75028,ST MARY'S GENERAL HOSPITAL,350 BOULEVARD,PASSAIC,NJ,7055,PASSAIC,(973) 365-4300,Acute Care Hospitals,Proprietary
+18964,CHI HEALTH ST FRANCIS,2620 WEST FAIDLEY AVE,GRAND ISLAND,NE,68803,HALL,(308) 384-4600,Acute Care Hospitals,Voluntary non-profit - Church
+13308,NORTH VISTA HOSPITAL,1409 EAST LAKE MEAD BLVD,NORTH LAS VEGAS,NV,89030,CLARK,(702) 657-5504,Acute Care Hospitals,Voluntary non-profit - Private
+21244,GOLDEN VALLEY MEMORIAL HOSPITAL,1600 N 2ND ST,CLINTON,MO,64735,HENRY,(660) 885-5511,Acute Care Hospitals,Government - Hospital District or Authority
+66209,DOCTORS MEMORIAL HOSPITAL,2600 HOSPITAL DR,BONIFAY,FL,32425,HOLMES,(850) 547-1120,Critical Access Hospitals,Government - Hospital District or Authority
+11963,LAKE REGIONAL HEALTH SYSTEM,54 HOSPITAL DRIVE,OSAGE BEACH,MO,65065,CAMDEN,(573) 348-8000,Acute Care Hospitals,Voluntary non-profit - Other
+34877,CLARION HOSPITAL,ONE HOSPITAL DRIVE,CLARION,PA,16214,CLARION,(814) 226-9500,Acute Care Hospitals,Voluntary non-profit - Other
+82384,SANFORD CANTON-INWOOD MEDICAL CENTER - CAH,440 NORTH HIAWATHA DRIVE,CANTON,SD,57013,LINCOLN,(605) 764-1400,Critical Access Hospitals,Voluntary non-profit - Private
+31138,MAHASKA  HEALTH PARTNERSHIP,1229 C AVENUE EAST,OSKALOOSA,IA,52577,MAHASKA,(641) 672-3100,Critical Access Hospitals,Government - Local
+91951,STERLING SURGICAL HOSPITAL,989 ROBERT BLVD,SLIDELL,LA,70458,ST. TAMMANY,(504) 690-8200,Acute Care Hospitals,Proprietary
+73195,SANFORD USD MEDICAL CENTER,1305 W 18TH ST  POST OFFICE BOX 5039,SIOUX FALLS,SD,57117,MINNEHAHA,(605) 333-1000,Acute Care Hospitals,Voluntary non-profit - Private
+64715,PARKWEST MEDICAL CENTER,9352 PARK WEST BLVD,KNOXVILLE,TN,37923,KNOX,(865) 970-9800,Acute Care Hospitals,Voluntary non-profit - Private
+87313,PHELPS MEMORIAL HEALTH CENTER,1215 TIBBALS ST,HOLDREGE,NE,68949,PHELPS,(308) 995-2211,Critical Access Hospitals,Voluntary non-profit - Private
+81609,GROSSMONT HOSPITAL,5555 GROSSMONT CENTER DRIVE BOX 58,LA MESA,CA,91942,SAN DIEGO,(619) 465-0711,Acute Care Hospitals,Government - Hospital District or Authority
+52494,WAYNE MEMORIAL HOSPITAL,601 PARK STREET,HONESDALE,PA,18431,WAYNE,(570) 253-8100,Acute Care Hospitals,Voluntary non-profit - Private
+39460,JEFFERSON STRATFORD HOSPITAL,18 EAST LAUREL ROAD,STRATFORD,NJ,8084,CAMDEN,(856) 346-7802,Acute Care Hospitals,Voluntary non-profit - Private
+19244,KERN MEDICAL CENTER,1700 MOUNT VERNON AVENUE,BAKERSFIELD,CA,93306,KERN,(661) 326-2000,Acute Care Hospitals,Government - Hospital District or Authority
+89156,ANAHEIM GLOBAL MEDICAL CENTER,1025 S ANAHEIM BLVD,ANAHEIM,CA,92805,ORANGE,(714) 533-6220,Acute Care Hospitals,Proprietary
+91851,NORTHWEST COMMUNITY HOSPITAL 1,800 W CENTRAL ROAD,ARLINGTON HEIGHTS,IL,60005,COOK,(847) 618-1000,Acute Care Hospitals,Voluntary non-profit - Private
+92398,UPMC CHAUTAUQUA AT WCA,207 FOOTE AVENUE,JAMESTOWN,NY,14701,CHAUTAUQUA,(716) 487-0141,Acute Care Hospitals,Voluntary non-profit - Private
+25392,WEBSTER COUNTY MEMORIAL HOSPITAL,324 MILLER MOUNTAIN DRIVE,WEBSTER SPRINGS,WV,26288,WEBSTER,(304) 847-5682,Critical Access Hospitals,Government - Local
+85984,KAISER FOUNDATION HOSPITAL - SAN LEANDRO,2500 MERCED STREET,SAN LEANDRO,CA,94577,ALAMEDA,(510) 454-1000,Acute Care Hospitals,Voluntary non-profit - Private
+63524,GOTHENBURG MEMORIAL HOSPITAL,910 20TH ST,GOTHENBURG,NE,69138,DAWSON,(308) 537-3661,Critical Access Hospitals,Government - Hospital District or Authority
+54166,OUR LADY OF BELLEFONTE HOSPITAL,1000 SAINT CHRISTOPHER DRIVE,ASHLAND,KY,41101,BOYD,(606) 833-3600,Acute Care Hospitals,Voluntary non-profit - Private
+26995,FALLON MEDICAL COMPLEX HOSPITAL,202 S 4TH ST W,BAKER,MT,59313,FALLON,(406) 778-3331,Critical Access Hospitals,Voluntary non-profit - Private
+24351,MT SINAI HOSPITAL MEDICAL CENTER,15TH STREET AT CALIFORNIA,CHICAGO,IL,60608,COOK,(773) 542-2000,Acute Care Hospitals,Voluntary non-profit - Private
+51747,VASSAR BROTHERS MEDICAL CENTER,45 READE PLACE,POUGHKEEPSIE,NY,12601,DUTCHESS,(845) 454-8500,Acute Care Hospitals,Voluntary non-profit - Private
+89501,"WASHINGTON HOSPITAL, THE",155 WILSON AVENUE,WASHINGTON,PA,15301,WASHINGTON,(724) 225-7000,Acute Care Hospitals,Voluntary non-profit - Private
+19145,JACKSON GENERAL HOSPITAL,122 PINNELL ST,RIPLEY,WV,25271,JACKSON,(304) 372-2731,Critical Access Hospitals,Voluntary non-profit - Other
+79795,INTERMOUNTAIN MEDICAL CENTER,5121 SOUTH COTTONWOOD STREET,MURRAY,UT,84107,SALT LAKE,(801) 507-7000,Acute Care Hospitals,Voluntary non-profit - Private
+31108,JEROLD PHELPS COMMUNITY HOSPITAL,733 CEDAR ST,GARBERVILLE,CA,95542,HUMBOLDT,(707) 923-3921,Critical Access Hospitals,Government - Hospital District or Authority
+58144,SUMMA HEALTH SYSTEM,525 EAST MARKET STREET,AKRON,OH,44309,SUMMIT,(330) 375-3000,Acute Care Hospitals,Voluntary non-profit - Private
+79821,DANIELS MEMORIAL HOSPITAL,105 5TH AVE E,SCOBEY,MT,59263,DANIELS,(406) 487-2296,Critical Access Hospitals,Voluntary non-profit - Private
+65480,SOUTHEASTERN REGIONAL MEDICAL CENTER,300 W 27 ST  PO BOX 1408,LUMBERTON,NC,28359,ROBESON,(910) 671-5000,Acute Care Hospitals,Voluntary non-profit - Private
+52124,BANNER - UNIVERSITY MEDICAL CENTER TUCSON CAMPUS,1625 NORTH CAMPBELL AVENUE,TUCSON,AZ,85724,PIMA,(520) 874-4189,Acute Care Hospitals,Voluntary non-profit - Private
+86736,SUTTER AUBURN FAITH HOSPITAL,11815 EDUCATION STREET,AUBURN,CA,95603,PLACER,(530) 888-4500,Acute Care Hospitals,Voluntary non-profit - Private
+23413,LITTLETON REGIONAL HEALTHCARE,600 ST JOHNSBURY ROAD,LITTLETON,NH,3561,GRAFTON,(603) 444-9000,Critical Access Hospitals,Voluntary non-profit - Private
+18742,WALKER BAPTIST MEDICAL CENTER,3400 HIGHWAY 78 EAST,JASPER,AL,35502,WALKER,(205) 387-4000,Acute Care Hospitals,Voluntary non-profit - Private
+78108,BOSTON CHILDREN'S HOSPITAL,300 LONGWOOD AVENUE,BOSTON,MA,2115,SUFFOLK,(617) 735-6000,Childrens,Voluntary non-profit - Private
+47164,MEDICAL ARTS HOSPITAL,2200 N BRYAN AVE,LAMESA,TX,79331,DAWSON,(806) 872-2183,Acute Care Hospitals,Government - Hospital District or Authority
+64460,EMMA PENDLETON BRADLEY HOSPITAL,1011 VETERANS MEMORIAL PARKWAY,EAST PROVIDENCE,RI,2915,PROVIDENCE,(401) 432-1000,Psychiatric,Voluntary non-profit - Private
+23652,ADVENTHEALTH CARROLLWOOD,7171 N DALE MABRY HWY,TAMPA,FL,33614,HILLSBOROUGH,(813) 932-2222,Acute Care Hospitals,Voluntary non-profit - Church
+41404,SINGING RIVER HEALTH SYSTEM,2809 DENNY AV,PASCAGOULA,MS,39581,JACKSON,(228) 809-5000,Acute Care Hospitals,Government - Local
+52586,REGIONAL HEALTH CUSTER HOSPITAL,1220 MONTGOMERY STREET,CUSTER,SD,57730,CUSTER,(605) 673-9400,Critical Access Hospitals,Voluntary non-profit - Private
+76906,HANSFORD COUNTY HOSPITAL,707 ROLAND ST,SPEARMAN,TX,79081,HANSFORD,(806) 659-2535,Critical Access Hospitals,Government - Hospital District or Authority
+71058,GRANVILLE HEALTH SYSTEMS,1010 COLLEGE ST,OXFORD,NC,27565,GRANVILLE,(919) 690-3000,Acute Care Hospitals,Government - Local
+32877,HIMA SAN PABLO BAYAMON,70 CALLE SANTA CRUZ,BAYAMON,PR,961,BAYAMON,(787) 620-4747,Acute Care Hospitals,Proprietary
+17118,METHODIST DALLAS MEDICAL CENTER,1441 NORTH BECKLEY AVENUE,DALLAS,TX,75203,DALLAS,(214) 947-2879,Acute Care Hospitals,Voluntary non-profit - Other
+34098,LAYTON HOSPITAL,201 WEST LAYTON PARKWAY,LAYTON,UT,84041,DAVIS,(801) 543-6703,Acute Care Hospitals,Voluntary non-profit - Private
+61560,LINDNER CENTER OF HOPE,4075 OLD WESTERN ROW ROAD,MASON,OH,45040,WARREN,(513) 536-4673,Psychiatric,Voluntary non-profit - Private
+26280,CLEVELAND CLINIC MARTIN NORTH HOSPITAL,200 SE HOSPITAL AVE,STUART,FL,34995,MARTIN,(772) 287-5200,Acute Care Hospitals,Voluntary non-profit - Private
+80294,CRESTWYN BEHAVIORAL HEALTH,9485 CRESTWYN HILLS COVE,MEMPHIS,TN,38125,SHELBY,(901) 457-5667,Psychiatric,Proprietary
+64485,ST BARNABAS HOSPITAL,4422 THIRD AVENUE,BRONX,NY,10457,BRONX,(212) 960-9000,Acute Care Hospitals,Voluntary non-profit - Private
+18706,CARIBOU MEMORIAL HOSPITAL,300 SOUTH 3RD WEST,SODA SPRINGS,ID,83276,CARIBOU,(208) 547-3341,Critical Access Hospitals,Government - Local
+47146,REBOUND BEHAVIORAL HEALTH,134 EAST REBOUND ROAD,LANCASTER,SC,29720,LANCASTER,(803) 313-3700,Psychiatric,Proprietary
+43347,LAKEWOOD RANCH MEDICAL CENTER,8330 LAKEWOOD RANCH BLVD,BRADENTON,FL,34202,MANATEE,(941) 782-2100,Acute Care Hospitals,Proprietary
+31010,METHODIST JENNIE EDMUNDSON,933 EAST PIERCE STREET,COUNCIL BLUFFS,IA,51503,POTTAWATTAMIE,(712) 396-6000,Acute Care Hospitals,Voluntary non-profit - Private
+25789,GREAT PLAINS HEALTH,601 WEST LEOTA ST,NORTH PLATTE,NE,69101,LINCOLN,(308) 696-8000,Acute Care Hospitals,Voluntary non-profit - Private
+82532,MIDWEST SURGICAL HOSPITAL LLC,7915 FARNAM DRIVE,OMAHA,NE,68114,DOUGLAS,(402) 399-1900,Acute Care Hospitals,Physician
+51372,NEW YORK-PRESBYTERIAN/QUEENS,56-45 MAIN STREET,FLUSHING,NY,11355,QUEENS,(718) 670-2000,Acute Care Hospitals,Voluntary non-profit - Private
+44448,THE MEDICAL CENTER AT FRANKLIN,1100 BROOKHAVEN ROAD,FRANKLIN,KY,42135,SIMPSON,(270) 598-4800,Critical Access Hospitals,Voluntary non-profit - Private
+47379,MAYO CLINIC HEALTH SYSTEM - RED WING,"701 HEWITT BOULEVARD, PO BOX 95",RED WING,MN,55066,GOODHUE,(651) 267-5000,Acute Care Hospitals,Voluntary non-profit - Private
+32248,MCCAMEY HOSPITAL,2500 HWY 305 SOUTH,MCCAMEY,TX,79752,UPTON,(432) 652-8626,Critical Access Hospitals,Government - Hospital District or Authority
+77627,"UNITED HEALTH SERVICES HOSPITALS, INC",10-42 MITCHELL AVENUE,BINGHAMTON,NY,13903,BROOME,(607) 763-6000,Acute Care Hospitals,Voluntary non-profit - Private
+16011,JACKSON MEMORIAL HOSPITAL,1611 NW 12TH AVE,MIAMI,FL,33136,MIAMI-DADE,(305) 585-1111,Acute Care Hospitals,Government - Hospital District or Authority
+81270,EXCELSIOR SPRINGS HOSPITAL,1700 RAINBOW BOULEVARD,EXCELSIOR SPRINGS,MO,64024,CLAY,(816) 630-6081,Critical Access Hospitals,Government - Local
+77231,ST JOSEPH MEMORIAL HOSPITAL,2 SOUTH HOSPITAL DRIVE,MURPHYSBORO,IL,62966,JACKSON,(618) 684-3156,Critical Access Hospitals,Voluntary non-profit - Private
+63557,RICHARDSON MEDICAL CENTER,254 HIGHWAY 3048,RAYVILLE,LA,71269,RICHLAND,(318) 728-4181,Acute Care Hospitals,Government - Hospital District or Authority
+40239,ATRIUM HEALTH UNION,600 HOSPITAL DR,MONROE,NC,28112,UNION,(704) 283-3100,Acute Care Hospitals,Government - Hospital District or Authority
+31128,OSMOND GENERAL HOSPITAL,"P O BOX 429, 402 NORTH MAPLE ST",OSMOND,NE,68765,PIERCE,(402) 748-3393,Critical Access Hospitals,Voluntary non-profit - Private
+71883,HELENA REGIONAL MEDICAL CENTER,1801 MARTIN LUTHER KING JR DRIVE,HELENA,AR,72342,PHILLIPS,(870) 338-5800,Acute Care Hospitals,Proprietary
+39026,PACIFICA HOSPITAL OF THE VALLEY,9449 SAN FERNANDO RD,SUN VALLEY,CA,91352,LOS ANGELES,(818) 767-3310,Acute Care Hospitals,Proprietary
+74034,CHI ST. VINCENT HOSPITAL HOT SPRINGS,300 WERNER STREET,HOT SPRINGS,AR,71903,GARLAND,(501) 622-1000,Acute Care Hospitals,Voluntary non-profit - Church
+76447,SAKAKAWEA MEDICAL CENTER - CAH,510 8TH AVENUE NE,HAZEN,ND,58545,MERCER,(701) 748-2225,Critical Access Hospitals,Voluntary non-profit - Private
+58505,LANCASTER GENERAL HOSPITAL,555 NORTH DUKE STREET,LANCASTER,PA,17604,LANCASTER,(717) 299-5511,Acute Care Hospitals,Voluntary non-profit - Other
+81237,FREESTONE MEDICAL CENTER,125 NEWMAN ST,FAIRFIELD,TX,75840,FREESTONE,(903) 389-1612,Acute Care Hospitals,Government - Hospital District or Authority
+33553,SYCAMORE SHOALS HOSPITAL,1501 WEST ELK AVENUE,ELIZABETHTON,TN,37643,CARTER,(423) 542-1300,Acute Care Hospitals,Voluntary non-profit - Private
+67252,SUMNER REGIONAL MEDICAL CENTER,555 HARTSVILLE PIKE,GALLATIN,TN,37066,SUMNER,(615) 452-4210,Acute Care Hospitals,Proprietary
+77809,HODGEMAN COUNTY HEALTH CENTER,809 BRAMLEY,JETMORE,KS,67854,HODGEMAN,(620) 357-8361,Critical Access Hospitals,Government - Local
+38772,POMERENE HOSPITAL,981 WOOSTER ROAD,MILLERSBURG,OH,44654,HOLMES,(330) 674-1015,Acute Care Hospitals,Government - Local
+67733,CIBOLA GENERAL HOSPITAL,1016 E ROOSEVELT AVENUE,GRANTS,NM,87020,CIBOLA,(505) 287-5300,Critical Access Hospitals,Government - Local
+50203,GRIMES ST JOSEPH HEALTH CENTER,210 JUDSON ST,NAVASOTA,TX,77868,GRIMES,(936) 825-6585,Critical Access Hospitals,Voluntary non-profit - Church
+83966,CRYSTAL CLINIC ORTHOPAEDIC CENTER,444 NORTH MAIN STREET,AKRON,OH,44310,SUMMIT,(330) 670-4118,Acute Care Hospitals,Proprietary
+21372,JULIAN F KEITH ALCOHOL & DRUG ABUSE TX,201 TABERNACLE ROAD,BLACK MOUNTAIN,NC,28711,BUNCOMBE,(828) 669-3402,Psychiatric,Government - State
+83198,BUFFALO HOSPITAL,303 CATLIN ST,BUFFALO,MN,55313,WRIGHT,(763) 682-1212,Acute Care Hospitals,Voluntary non-profit - Other
+45094,PLUMAS DISTRICT HOSPITAL,1065 BUCKS LAKE ROAD,QUINCY,CA,95971,PLUMAS,(530) 283-2121,Critical Access Hospitals,Government - Hospital District or Authority
+20164,OCHSNER MEDICAL CENTER-HANCOCK,149 DRINKWATER BLVD,BAY SAINT LOUIS,MS,39520,HANCOCK,(228) 467-8600,Acute Care Hospitals,Government - Local
+21743,THREE RIVERS MEDICAL CENTER,2485 HIGHWAY 644,LOUISA,KY,41230,LAWRENCE,(606) 638-9451,Acute Care Hospitals,Proprietary
+29957,TITUS REGIONAL MEDICAL CENTER,2001 N JEFFERSON,MOUNT PLEASANT,TX,75455,TITUS,(903) 577-6000,Acute Care Hospitals,Government - Hospital District or Authority
+41938,CENTRO DE SALUD CONDUCTUAL MENONITA-CIMA,CARR ESTATAL 14 INTERIOR SARGENTO GERARDO SANTIAGO,AIBONITO,PR,705,AIBONITO,(787) 714-2462,Psychiatric,Voluntary non-profit - Private
+19052,"GOOD HOPE HOSPITAL, INC",410 DENIM DRIVE,ERWIN,NC,28339,HARNETT,(910) 230-4011,Psychiatric,Voluntary non-profit - Private
+66585,PEKIN MEMORIAL HOSPITAL,600 SOUTH 13TH STREET,PEKIN,IL,61554,TAZEWELL,(309) 347-1151,Acute Care Hospitals,Voluntary non-profit - Private
+27110,HAWARDEN REGIONAL HEALTHCARE,1111 11TH STREET,HAWARDEN,IA,51023,SIOUX,(712) 551-3100,Critical Access Hospitals,Government - Local
+63612,CORONA REGIONAL MEDICAL CENTER,800 SOUTH MAIN STREET,CORONA,CA,92882,RIVERSIDE,(951) 737-4343,Acute Care Hospitals,Proprietary
+19663,MULESHOE AREA MEDICAL CENTER,708 S 1ST ST,MULESHOE,TX,79347,BAILEY,(806) 272-4524,Critical Access Hospitals,Proprietary
+92126,ASCENSION MACOMB OAKLAND HOSP-WARREN CAMPUS,11800 EAST TWELVE MILE ROAD,WARREN,MI,48093,MACOMB,(586) 573-5000,Acute Care Hospitals,Voluntary non-profit - Private
+26439,APPLING HOSPITAL,163 E TOLLISON STREET,BAXLEY,GA,31513,APPLING,(912) 367-9841,Acute Care Hospitals,Government - Hospital District or Authority
+12711,HILLCREST HOSPITAL SOUTH,8801 SOUTH 101ST EAST AVENUE,TULSA,OK,74133,TULSA,(918) 294-4000,Acute Care Hospitals,Proprietary
+17682,LAKEWOOD HEALTH CENTER,600 MAIN AVE S,BAUDETTE,MN,56623,LAKE OF  WOODS,(218) 634-2120,Critical Access Hospitals,Voluntary non-profit - Church
+31717,COPLEY HOSPITAL,528 WASHINGTON HIGHWAY,MORRISVILLE,VT,5661,LAMOILLE,(802) 888-4231,Critical Access Hospitals,Voluntary non-profit - Private
+13633,BAYLOR SCOTT AND WHITE HEART AND VASCULAR HOSPITAL,621 NORTH HALL STREET,DALLAS,TX,75226,DALLAS,(214) 820-0670,Acute Care Hospitals,Proprietary
+86553,BLANCHARD VALLEY HOSPITAL,1900 SOUTH MAIN STREET,FINDLAY,OH,45840,HANCOCK,(419) 423-4500,Acute Care Hospitals,Voluntary non-profit - Other
+62871,CAROLINA EAST MEDICAL CENTER,2000 NEUSE BLVD,NEW BERN,NC,28560,CRAVEN,(252) 633-8640,Acute Care Hospitals,Government - Hospital District or Authority
+56114,SHRINERS HOSPITALS FOR CHILDREN,6977 MAIN STREET,HOUSTON,TX,77030,HARRIS,(713) 797-1616,Childrens,Voluntary non-profit - Other
+66414,"RED RIVER BEHAVIORAL CENTER, LLC",2800 MELROSE AVENUE,BOSSIER CITY,LA,71111,BOSSIER,(318) 549-2099,Psychiatric,Proprietary
+50338,ADENA REGIONAL MEDICAL CENTER,272 HOSPITAL ROAD,CHILLICOTHE,OH,45601,ROSS,(740) 779-7500,Acute Care Hospitals,Voluntary non-profit - Private
+53423,HSHS ST CLARE MEMORIAL HOSPITAL,855 S MAIN ST,OCONTO FALLS,WI,54154,OCONTO,(920) 846-3444,Critical Access Hospitals,Voluntary non-profit - Private
+75673,FRANCISCAN HEALTH HAMMOND,5454 HOHMAN AVE,HAMMOND,IN,46320,LAKE,(219) 932-2300,Acute Care Hospitals,Voluntary non-profit - Church
+74377,METRO NASHVILLE GENERAL HOSPITAL,1818 ALBION STREET,NASHVILLE,TN,37208,DAVIDSON,(615) 341-4490,Acute Care Hospitals,Government - Hospital District or Authority
+12881,OUR LADY OF THE ANGELS HOSPITAL,433 PLAZA STREET,BOGALUSA,LA,70427,WASHINGTON,(985) 730-6700,Acute Care Hospitals,Voluntary non-profit - Church
+66053,NORTHBROOK BEHAVIORAL HEALTH HOSPITAL,425  WOODBURY TURNERSVILLE ROAD,BLACKWOOD,NJ,8012,CAMDEN,(856) 374-6500,Psychiatric,Proprietary
+37816,BARTLETT REGIONAL HOSPITAL,3260 HOSPITAL DR,JUNEAU,AK,99801,JUNEAU,(907) 796-8900,Acute Care Hospitals,Government - Local
+90662,METHODIST AMBULATORY SURGERY HOSPITAL NW,9150 HUEBNER RD SUITE 100,SAN ANTONIO,TX,78240,BEXAR,(210) 575-5000,Acute Care Hospitals,Proprietary
+90927,NORTHERN VIRGINIA MENTAL HEALTH INSTI,3302 GALLOWS RD,FALLS CHURCH,VA,22042,FAIRFAX,(703) 207-7100,Psychiatric,Government - State
+48018,PHILLIPS COUNTY MEDICAL CENTER,311 S 8TH AVE E,MALTA,MT,59538,PHILLIPS,(406) 654-1100,Critical Access Hospitals,Voluntary non-profit - Private
+91379,SAINT BARNABAS MEDICAL CENTER,94 OLD SHORT HILLS ROAD,LIVINGSTON,NJ,7039,ESSEX,(973) 322-5000,Acute Care Hospitals,Voluntary non-profit - Other
+55808,SUMMITRIDGE CENTER- PSYCHIATRY & ADDICTIVE MED,250 SCENIC HIGHWAY,LAWRENCEVILLE,GA,30046,GWINNETT,(678) 442-5800,Psychiatric,Proprietary
+81242,MESA SPRINGS,5560 MESA SPRINGS DRIVE,FORT WORTH,TX,76123,TARRANT,(817) 292-4600,Psychiatric,Proprietary
+57580,UNIVERSITY HOSPITAL & CLINICS,2390 WEST CONGRESS,LAFAYETTE,LA,70506,LAFAYETTE,(337) 261-6000,Acute Care Hospitals,Voluntary non-profit - Private
+75742,ADVENTIST HEALTH HANFORD,115 MALL DRIVE,HANFORD,CA,93230,KINGS,(209) 410-7200,Acute Care Hospitals,Voluntary non-profit - Private
+17369,FRESNO SURGICAL HOSPITAL,6125 NORTH FRESNO ST,FRESNO,CA,93710,FRESNO,(559) 431-8000,Acute Care Hospitals,Proprietary
+45329,MEMORIAL HOSPITAL JACKSONVILLE,3625 UNIVERSITY BLVD S,JACKSONVILLE,FL,32216,DUVAL,(904) 702-6111,Acute Care Hospitals,Proprietary
+76845,FLOYD COUNTY MEDICAL CENTER,800 11TH ST,CHARLES CITY,IA,50616,FLOYD,(641) 228-6830,Critical Access Hospitals,Voluntary non-profit - Other
+69191,TWIN CITIES COMMUNITY HOSPITAL,1100 LAS TABLAS RD,TEMPLETON,CA,93465,SAN LUIS OBISPO,(805) 434-3500,Acute Care Hospitals,Proprietary
+67458,KEARNEY COUNTY HEALTH SERVICES HOSPITAL,727 EAST 1ST ST,MINDEN,NE,68959,KEARNEY,(308) 832-3400,Critical Access Hospitals,Government - Local
+39169,BOONE HOSPITAL CENTER,1600 E BROADWAY,COLUMBIA,MO,65201,BOONE,(573) 815-8000,Acute Care Hospitals,Voluntary non-profit - Other
+53254,WOODLAWN HOSPITAL,1400 E 9TH ST,ROCHESTER,IN,46975,FULTON,(574) 223-3141,Critical Access Hospitals,Government - Local
+70441,USA HEALTH CHILDREN'S & WOMEN'S HOSPITAL,1700 CENTER STREET,MOBILE,AL,36604,MOBILE,(251) 415-1000,Childrens,Government - State
+53863,BARBOURVILLE ARH HOSPITAL,80 HOSPITAL DRIVE,BARBOURVILLE,KY,40906,KNOX,(606) 546-4175,Critical Access Hospitals,Government - Local
+34524,WEST ANAHEIM MEDICAL CENTER,3033 W ORANGE AVENUE,ANAHEIM,CA,92804,ORANGE,(714) 827-3000,Acute Care Hospitals,Proprietary
+83212,HAVEN BEHAVIORAL HOSPITAL OF PHOENIX,"1201 SOUTH 7TH AVENUE, SUITE 200",PHOENIX,AZ,85007,MARICOPA,(623) 236-2000,Psychiatric,Proprietary
+40523,CEDAR CREST HOSPITAL & RTC,3500 SOUTH IH-35,BELTON,TX,76513,BELL,(254) 939-2100,Psychiatric,Proprietary
+73024,FAITH REGIONAL HEALTH SERVICES,2700 WEST NORFOLK AVE,NORFOLK,NE,68701,MADISON,(402) 371-4880,Acute Care Hospitals,Voluntary non-profit - Church
+51089,COLLETON MEDICAL CENTER,501 ROBERTSON BOULEVARD,WALTERBORO,SC,29488,COLLETON,(843) 782-2000,Acute Care Hospitals,Proprietary
+79879,SHERIDAN MEMORIAL HOSPTIAL,440 W LAUREL AVE,PLENTYWOOD,MT,59254,SHERIDAN,(406) 765-3700,Critical Access Hospitals,Voluntary non-profit - Private
+65285,JOHN MUIR BEHAVIORAL HEALTH CENTER,2740 GRANT STREET,CONCORD,CA,94524,CONTRA COSTA,(925) 674-4101,Psychiatric,Voluntary non-profit - Private
+77095,PATTERSON HEALTH CENTER,485 N. KS HWY 2,ANTHONY,KS,67003,HARPER,(620) 842-5111,Critical Access Hospitals,Government - Hospital District or Authority
+57362,GENEVA GENERAL HOSPITAL,196 -198 NORTH STREET,GENEVA,NY,14456,ONTARIO,(315) 787-4175,Acute Care Hospitals,Voluntary non-profit - Private
+60670,SUMMERLIN HOSPITAL MEDICAL CENTER,657 TOWN CENTER DRIVE,LAS VEGAS,NV,89144,CLARK,(702) 233-7500,Acute Care Hospitals,Proprietary
+34126,OPTIM MEDICAL CENTER - SCREVEN,215 MIMS ROAD,SYLVANIA,GA,30467,SCREVEN,(912) 564-7426,Critical Access Hospitals,Proprietary
+73455,CHILDREN'S HOSP OF RICHMOND OF THE VCU HEALTH SYS,2924 BROOK ROAD,RICHMOND,VA,23220,RICHMOND CITY,(804) 321-7474,Childrens,Voluntary non-profit - Private
+33817,FAUQUIER HOSPITAL,500 HOSPITAL DRIVE,WARRENTON,VA,20186,FAUQUIER,(540) 316-5000,Acute Care Hospitals,Voluntary non-profit - Private
+77196,EASTERN LA MENTAL HEALTH SYSTEM,4502 HIGHWAY 951,JACKSON,LA,70748,EAST FELICIANA,(225) 634-0100,Psychiatric,Government - State
+47365,TEXAS HEALTH ARLINGTON MEMORIAL HOSPITAL,800 W RANDOL MILL RD,ARLINGTON,TX,76012,TARRANT,(817) 548-6100,Acute Care Hospitals,Voluntary non-profit - Private
+23100,NORTHWESTERN LAKE FOREST HOSPITAL,1000 N WESTMORELAND ROAD,LAKE FOREST,IL,60045,LAKE,(847) 234-5600,Acute Care Hospitals,Voluntary non-profit - Other
+56323,"COMMUNITY MEMORIAL HEALTHCARE, INC",708 N 18TH STREET,MARYSVILLE,KS,66508,MARSHALL,(785) 562-2311,Critical Access Hospitals,Voluntary non-profit - Private
+30910,THE MEDICAL CENTER AT ALBANY,723 BURKESVILLE ROAD,ALBANY,KY,42602,CLINTON,(606) 387-6421,Acute Care Hospitals,Voluntary non-profit - Private
+34766,RICELAND MEDICAL CENTER,538 BROADWAY,WINNIE,TX,77665,CHAMBERS,(409) 296-6000,Critical Access Hospitals,Proprietary
+88176,MCCULLOUGH-HYDE MEMORIAL HOSPITAL,110 NORTH POPLAR STREET,OXFORD,OH,45056,BUTLER,(513) 524-5640,Acute Care Hospitals,Voluntary non-profit - Private
+51824,BLUE RIDGE REGIONAL HOSPITAL,125 HOSPITAL DR,SPRUCE PINE,NC,28777,MITCHELL,(828) 765-4201,Critical Access Hospitals,Voluntary non-profit - Private
+61982,SAINT MARY'S HEALTH CARE,200 JEFFERSON AVENUE SE,GRAND RAPIDS,MI,49503,KENT,(616) 685-5000,Acute Care Hospitals,Voluntary non-profit - Church
+64754,WELLINGTON REGIONAL MEDICAL CENTER LLC,10101 FOREST HILL BLVD,WELLINGTON,FL,33414,PALM BEACH,(561) 798-8500,Acute Care Hospitals,Proprietary
+64420,FREDONIA REGIONAL HOSPITAL,1527 MADISON,FREDONIA,KS,66736,WILSON,(620) 378-2121,Critical Access Hospitals,Government - Local
+84619,PLATTE VALLEY MEDICAL CENTER,1600 PRAIRIE CENTER PKWY,BRIGHTON,CO,80601,ADAMS,(303) 498-1601,Acute Care Hospitals,Voluntary non-profit - Private
+50641,NORTH OKALOOSA MEDICAL CENTER,151 REDSTONE AVE SE,CRESTVIEW,FL,32539,OKALOOSA,(850) 689-8100,Acute Care Hospitals,Voluntary non-profit - Private
+89143,LOWER UMPQUA HOSPITAL DISTRICT,600 RANCH ROAD,REEDSPORT,OR,97467,DOUGLAS,(541) 271-2171,Critical Access Hospitals,Government - Hospital District or Authority
+10131,CAPITAL MEDICAL CENTER,3900 CAPITAL MALL DR SW,OLYMPIA,WA,98502,THURSTON,(360) 754-5858,Acute Care Hospitals,Voluntary non-profit - Private
+94311,KENMORE MERCY HOSPITAL,2950 ELMWOOD AVENUE,KENMORE,NY,14217,ERIE,(716) 447-6100,Acute Care Hospitals,Voluntary non-profit - Church
+59740,LA PALMA INTERCOMMUNITY HOSPITAL,7901 WALKER STREET,LA PALMA,CA,90623,ORANGE,(714) 670-7400,Acute Care Hospitals,Proprietary
+34832,FAIRFIELD MEDICAL CENTER,401 NORTH EWING STREET,LANCASTER,OH,43130,FAIRFIELD,(740) 687-8009,Acute Care Hospitals,Voluntary non-profit - Other
+89933,MEDSTAR SOUTHERN MARYLAND HOSPITAL CENTER,7503 SURRATTS ROAD,CLINTON,MD,20735,PRINCE GEORGES,(301) 868-8000,Acute Care Hospitals,Voluntary non-profit - Private
+84027,KAISER FOUNDATION HOSPITAL - ANTIOCH,4501 SAND CREEK ROAD,ANTIOCH,CA,94531,CONTRA COSTA,(925) 813-6500,Acute Care Hospitals,Voluntary non-profit - Private
+67306,MCLAREN GREATER LANSING,401 W GREENLAWN AVE,LANSING,MI,48910,INGHAM,(517) 975-6000,Acute Care Hospitals,Voluntary non-profit - Private
+17681,CLOVIS COMMUNITY MEDICAL CENTER,2755 HERNDON AVE,CLOVIS,CA,93611,FRESNO,(559) 324-4000,Acute Care Hospitals,Voluntary non-profit - Private
+62799,GUNDERSEN PALMER LUTHERAN HOSPITAL AND CLINICS,112 JEFFERSON STREET,WEST UNION,IA,52175,FAYETTE,(563) 422-3811,Critical Access Hospitals,Voluntary non-profit - Private
+18883,OSF SAINT LUKES MEDICAL CENTER,1051 WEST SOUTH STREET,KEWANEE,IL,61443,HENRY,(309) 853-3361,Critical Access Hospitals,Voluntary non-profit - Church
+13233,CARNEY HOSPITAL,2100 DORCHESTER AVENUE,BOSTON,MA,2124,SUFFOLK,(617) 506-2000,Acute Care Hospitals,Proprietary
+42575,CITY HOSPITAL AT  WHITE ROCK,9440 POPPY DR,DALLAS,TX,75218,DALLAS,(214) 324-6100,Acute Care Hospitals,Proprietary
+29410,KERRVILLE STATE HOSP,721 THOMPSON DR,KERRVILLE,TX,78028,KERR,(830) 896-2211,Psychiatric,Government - State
+83707,COMMUNITY HOSPITAL SOUTH,1402 E COUNTY LINE RD S,INDIANAPOLIS,IN,46227,MARION,(317) 887-7000,Acute Care Hospitals,Voluntary non-profit - Private
+43968,FROEDTERT SOUTH - KENOSHA MEDICAL CENTER,6308 EIGHTH AVE,KENOSHA,WI,53143,KENOSHA,(262) 656-2011,Acute Care Hospitals,Government - Local
+48225,HAVEN BEHAVIORAL HOSPITAL OF FRISCO,"5680 FRISCO SQUARE BLVD, SUITE 3000",FRISCO,TX,75034,DENTON,(469) 535-8000,Psychiatric,Proprietary
+31598,BAPTIST MEMORIAL HOSPITAL GOLDEN TRIANGLE INC,2520 5TH STREET N,COLUMBUS,MS,39701,LOWNDES,(662) 244-1500,Acute Care Hospitals,Voluntary non-profit - Private
+93827,MIDMICHIGAN MEDICAL CENTER - WEST BRANCH,2463 SOUTH M-30,WEST BRANCH,MI,48661,OGEMAW,(989) 345-6366,Acute Care Hospitals,Government - Local
+55829,GOOD SAMARITAN HOSPITAL,FOURTH AND WALNUT STREETS,LEBANON,PA,17042,LEBANON,(717) 270-7500,Acute Care Hospitals,Voluntary non-profit - Other
+24737,PRISMA HEALTH GREENVILLE MEMORIAL HOSPITAL,905 VERDAE BLVD SUITE 102,GREENVILLE,SC,29605,GREENVILLE,(864) 455-7000,Acute Care Hospitals,Voluntary non-profit - Private
+56604,ASPEN VALLEY HOSPITAL,401 CASTLE CREEK RD,ASPEN,CO,81611,PITKIN,(970) 544-1261,Critical Access Hospitals,Government - Hospital District or Authority
+32158,JEWELL COUNTY HOSPITAL,100 CRESTVUE AVE,MANKATO,KS,66956,JEWELL,(785) 378-3137,Critical Access Hospitals,Government - Local
+55947,SHRINERS HOSPITAL FOR CHILDREN,1310 PUNAHOU STREET,HONOLULU,HI,96826,HONOLULU,(808) 941-4466,Childrens,Voluntary non-profit - Private
+61920,BAPTIST HOSPITAL,1000 W MORENO ST,PENSACOLA,FL,32501,ESCAMBIA,(850) 434-4011,Acute Care Hospitals,Voluntary non-profit - Private
+59487,STURDY MEMORIAL HOSPITAL,211 PARK STREET,ATTLEBORO,MA,2703,BRISTOL,(508) 222-5200,Acute Care Hospitals,Voluntary non-profit - Other
+71863,UNIVERSITY HOSPITALS AHUJA MEDICAL CENTER,3999 RICHMOND ROAD,BEACHWOOD,OH,44122,CUYAHOGA,(216) 593-5510,Acute Care Hospitals,Voluntary non-profit - Private
+73521,JOHNSON REGIONAL MEDICAL CENTER,1100 EAST POPLAR STREET,CLARKSVILLE,AR,72830,JOHNSON,(479) 754-5454,Acute Care Hospitals,Government - Local
+18767,DOCTORS HOSPITAL,3651 WHEELER ROAD,AUGUSTA,GA,30909,RICHMOND,(706) 651-6008,Acute Care Hospitals,Proprietary
+20576,MADISON ST JOSEPH HEALTH CENTER,100 WEST CROSS STREET,MADISONVILLE,TX,77864,MADISON,(936) 348-2631,Critical Access Hospitals,Voluntary non-profit - Church
+23406,HAVEN BEHAVIORAL HOSPITAL OF EASTERN PENNSYLVANIA,145 NORTH 6TH STREET,READING,PA,19601,BERKS,(610) 406-4340,Psychiatric,Proprietary
+62315,GRADY MEMORIAL HOSPITAL,2220 IOWA STREET,CHICKASHA,OK,73018,GRADY,(405) 224-2300,Acute Care Hospitals,Government - Hospital District or Authority
+71544,SETON MEDICAL CENTER HARKER HEIGHTS,850 W CENTRAL TEXAS EXPRESSWAY,HARKER HEIGHTS,TX,76548,BELL,(254) 953-8342,Acute Care Hospitals,Proprietary
+55293,PUTNAM COUNTY MEMORIAL HOSPITAL,"1926 OAK STREET,  PO BOX 389",UNIONVILLE,MO,63565,PUTNAM,(660) 947-2411,Critical Access Hospitals,Government - Local
+69094,FRISBIE MEMORIAL HOSPITAL,11 WHITEHALL ROAD,ROCHESTER,NH,3867,STRAFFORD,(603) 332-5211,Acute Care Hospitals,Voluntary non-profit - Private
+90170,JOHN J MADDEN MENTAL HEALTH CENTER,1200 S FIRST AVE,HINES,IL,60141,COOK,(708) 531-7202,Psychiatric,Government - State
+18681,JOHNSON MEMORIAL HOSPITAL,1282 WALNUT STREET,DAWSON,MN,56232,LAC QUI PARLE,(320) 769-4323,Critical Access Hospitals,Government - Hospital District or Authority
+90990,ALASKA NATIVE MEDICAL CENTER,4315 DIPLOMACY DR,ANCHORAGE,AK,99508,ANCHORAGE,(907) 729-3971,Acute Care Hospitals,Government - Federal
+79830,HOSPITAL UNIVERSITARIO DE ADULTO,BARRIO MONACILLOS CENTROMEDICO,RIO PIEDRAS,PR,927,SAN JUAN,(787) 754-0101,Acute Care Hospitals,Government - State
+21519,DOCTORS'  COMMUNITY HOSPITAL,8118 GOOD LUCK ROAD,LANHAM,MD,20706,PRINCE GEORGES,(301) 552-8118,Acute Care Hospitals,Proprietary
+92929,SO CRESCENT BEH HLTH SYS - ANCHOR HOSPITAL CAMPUS,5454 YORKTOWNE DRIVE,COLLEGE PARK,GA,30349,FULTON,(770) 991-6044,Psychiatric,Proprietary
+85212,RUTHERFORD REGIONAL MEDICAL CENTER,288 SOUTH RIDGECREST AVE,RUTHERFORDTON,NC,28139,RUTHERFORD,(828) 286-5000,Acute Care Hospitals,Proprietary
+11320,PENNSYLVANIA HOSPITAL,800 SPRUCE STREET,PHILADELPHIA,PA,19107,PHILADELPHIA,(215) 829-3000,Acute Care Hospitals,Voluntary non-profit - Private
+18477,BATON ROUGE BEHAVIORAL HOSPITAL,4040 NORTH BLVD.,BATON ROUGE,LA,70806,E. BATON ROUGE,(225) 300-8470,Psychiatric,Proprietary
+23714,ROCKLAND PSYCH CTR,140 OLD ORANGEBURG RD,ORANGEBURG,NY,10962,ROCKLAND,(845) 359-1000,Psychiatric,Government - State
+90017,HENDRY REGIONAL MEDICAL CENTER,524 W SAGAMORE AVE,CLEWISTON,FL,33440,HENDRY,(863) 902-3033,Critical Access Hospitals,Voluntary non-profit - Other
+49931,MIDWEST MEDICAL CENTER,1 MEDICAL CENTER DRIVE,GALENA,IL,61036,JO DAVIESS,(815) 777-1340,Critical Access Hospitals,Voluntary non-profit - Private
+54404,HENRY FORD MACOMB HOSPITAL,15855 NINETEEN MILE RD,CLINTON TOWNSHIP,MI,48038,MACOMB,(586) 263-2300,Acute Care Hospitals,Voluntary non-profit - Private
+60728,CHI HEALTH ST MARY'S,1301 GRUNDMAN BLVD,NEBRASKA CITY,NE,68410,OTOE,(402) 873-3321,Critical Access Hospitals,Voluntary non-profit - Church
+85446,DIVINE SAVIOR HEALTHCARE,2817 NEW PINERY ROAD,PORTAGE,WI,53901,COLUMBIA,(608) 742-4131,Acute Care Hospitals,Voluntary non-profit - Private
+54637,CHEROKEE MEDICAL CENTER,1530 N LIMESTONE ST,GAFFNEY,SC,29340,CHEROKEE,(864) 487-4271,Acute Care Hospitals,Voluntary non-profit - Private
+46980,FOREST HEALTH MEDICAL CENTER,135 S PROSPECT ST,YPSILANTI,MI,48198,WASHTENAW,(734) 547-4700,Acute Care Hospitals,Government - Hospital District or Authority
+38078,RIVER BEND HOSPITAL,2900 N RIVER RD,WEST LAFAYETTE,IN,47906,TIPPECANOE,(765) 464-0400,Psychiatric,Voluntary non-profit - Private
+33049,WADLEY REGIONAL MEDICAL CENTER,1000 PINE STREET,TEXARKANA,TX,75501,BOWIE,(903) 798-8000,Acute Care Hospitals,Physician
+31753,PALOS COMMUNITY HOSPITAL,12251 SOUTH 80TH AVENUE,PALOS HEIGHTS,IL,60463,COOK,(708) 923-4000,Acute Care Hospitals,Voluntary non-profit - Private
+90330,WOODLAND MEMORIAL HOSPITAL,1325 COTTONWOOD STREET,WOODLAND,CA,95695,YOLO,(530) 662-3961,Acute Care Hospitals,Voluntary non-profit - Other
+36246,HACKENSACK-UMC MOUNTAINSIDE,BAY AND HIGHLAND AVE,MONTCLAIR,NJ,7042,ESSEX,(973) 429-6000,Acute Care Hospitals,Voluntary non-profit - Private
+89045,HOLMES REGIONAL MEDICAL CENTER,1350 S HICKORY ST,MELBOURNE,FL,32901,BREVARD,(321) 434-7000,Acute Care Hospitals,Voluntary non-profit - Private
+76983,MARLBOROUGH HOSPITAL,157 UNION STREET,MARLBOROUGH,MA,1752,MIDDLESEX,(508) 481-5000,Acute Care Hospitals,Voluntary non-profit - Private
+51736,ELGIN MENTAL HEALTH CENTER,750 S STATE ST,ELGIN,IL,60123,KANE,(847) 742-1040,Psychiatric,Government - State
+26093,BAPTIST MEDICAL CENTER-LEAKE,1100 HIGHWAY 16 EAST,CARTHAGE,MS,39051,LEAKE,(601) 267-1422,Critical Access Hospitals,Voluntary non-profit - Private
+23750,THE HOSPITALS OF PROVIDENCE TRANSMOUNTAIN CAMPUS,2000 TRANSMOUNTAIN RD,EL PASO,TX,79911,EL PASO,(915) 877-8136,Acute Care Hospitals,Proprietary
+74013,SAINT JOSEPH HOSPITAL,ONE SAINT JOSEPH DRIVE,LEXINGTON,KY,40504,FAYETTE,(859) 313-1000,Acute Care Hospitals,Voluntary non-profit - Church
+82386,RICHLAND PARISH HOSPITAL-DELHI,407 CINCINNATI STREET,DELHI,LA,71232,RICHLAND,(318) 878-5171,Critical Access Hospitals,Government - Hospital District or Authority
+19755,PEARL RIVER COUNTY HOSPITAL & NURSING HOME,305 WEST MOODY STREET,POPLARVILLE,MS,39470,PEARL RIVER,(601) 795-4543,Critical Access Hospitals,Government - Local
+24580,PINNACLE HEALTH HOSPITALS,409 SOUTH SECOND STREET,HARRISBURG,PA,17105,DAUPHIN,(717) 782-5181,Acute Care Hospitals,Voluntary non-profit - Other
+88814,MERCY HOSPITAL CARTHAGE,3125 DR RUSSELL SMITH WAY,CARTHAGE,MO,64836,JASPER,(417) 358-8121,Critical Access Hospitals,Voluntary non-profit - Private
+40466,UNIVERSITY OF KANSAS HOSPITAL,4000 CAMBRIDGE STREET,KANSAS CITY,KS,66160,WYANDOTTE,(913) 588-7332,Acute Care Hospitals,Government - Hospital District or Authority
+56501,OHIO VALLEY MEDICAL CENTER,2000 EOFF STREET,WHEELING,WV,26003,OHIO,(304) 234-0123,Acute Care Hospitals,Voluntary non-profit - Private
+72136,WEST TENNESSEE HEALTHCARE VOLUNTEER HOSPITAL,161 MOUNT PELIA RD,MARTIN,TN,38237,WEAKLEY,(731) 479-6057,Acute Care Hospitals,Proprietary
+70103,ST PETERS HOSPITAL,2475 BROADWAY,HELENA,MT,59601,LEWIS AND CLARK,(406) 442-2480,Acute Care Hospitals,Voluntary non-profit - Private
+86411,NESS COUNTY HOSPITAL DISTRICT #2,312 CUSTER STREET,NESS CITY,KS,67560,NESS,(785) 798-2291,Critical Access Hospitals,Government - Hospital District or Authority
+13911,FRIENDS HOSPITAL,4641 ROOSEVELT BOULEVARD,PHILADELPHIA,PA,19124,PHILADELPHIA,(215) 831-4600,Psychiatric,Proprietary
+44076,CEDAR SPRINGS BEHAVIORAL HEALTH SYSTEM,2135 SOUTHGATE RD,COLORADO SPRINGS,CO,80906,EL PASO,(719) 633-4114,Psychiatric,Proprietary
+65918,MAYO CLINIC HEALTH SYSTEM-NORTHLAND,1222 E WOODLAND AVE,BARRON,WI,54812,BARRON,(715) 537-3186,Critical Access Hospitals,Voluntary non-profit - Private
+42635,AVERA ST ANTHONY'S HOSPITAL,300 NORTH 2ND ST,O' NEILL,NE,68763,HOLT,(402) 336-5131,Critical Access Hospitals,Voluntary non-profit - Church
+63002,GRADY GENERAL HOSPITAL,"1155 5TH STREET, SE",CAIRO,GA,39828,GRADY,(229) 377-0251,Acute Care Hospitals,Voluntary non-profit - Private
+74835,RAINBOW BABIES AND CHILDRENS HOSPITAL,11100 EUCLID AVENUE,CLEVELAND,OH,44106,CUYAHOGA,(216) 844-1000,Childrens,Voluntary non-profit - Other
+12266,CHILDREN'S HOSPITAL OF SAN ANTONIO,333 N SANTA ROSA ST,SAN ANTONIO,TX,78207,BEXAR,(210) 704-3342,Childrens,Voluntary non-profit - Private
+58177,LYNN COUNTY HOSPITAL DISTRICT,2600 LOCKWOOD STREET,TAHOKA,TX,79373,LYNN,(806) 998-4533,Critical Access Hospitals,Government - Hospital District or Authority
+72564,TRINITAS REGIONAL MEDICAL CENTER,225 WILLIAMSON STREET,ELIZABETH,NJ,7207,UNION,(908) 994-5000,Acute Care Hospitals,Voluntary non-profit - Private
+83576,OCHSNER LSU HEALTH SHREVEPORT,1541 KINGS HIGHWAY,SHREVEPORT,LA,71103,CADDO,(318) 675-5000,Acute Care Hospitals,Voluntary non-profit - Private
+17212,ROUND ROCK MEDICAL CENTER,2400 ROUND ROCK AVE,ROUND ROCK,TX,78681,WILLIAMSON,(512) 341-1000,Acute Care Hospitals,Proprietary
+25508,HOLDENVILLE GENERAL HOSPITAL,100 MCDOUGAL DRIVE,HOLDENVILLE,OK,74848,HUGHES,(405) 379-4200,Critical Access Hospitals,Government - Hospital District or Authority
+24244,MERCY HEALTH-LORAIN HOSPITAL,3700 KOLBE ROAD,LORAIN,OH,44053,LORAIN,(440) 960-4000,Acute Care Hospitals,Voluntary non-profit - Private
+93011,PLATTE COUNTY MEMORIAL HOSPITAL,201 14TH STREET,WHEATLAND,WY,82201,PLATTE,(307) 322-3636,Critical Access Hospitals,Government - Local
+60619,P H S INDIAN HOSP AT BELCOURT-QUENTIN N BURDICK,PO BOX 160,BELCOURT,ND,58316,ROLETTE,(701) 477-6111,Acute Care Hospitals,Government - Federal
+62741,ST ANTHONYS MEMORIAL HOSPITAL,503 N MAPLE STREET,EFFINGHAM,IL,62401,EFFINGHAM,(217) 342-2121,Acute Care Hospitals,Voluntary non-profit - Church
+87901,KING'S DAUGHTERS MEDICAL CENTER-BROOKHAVEN,P O BOX 948/427 HIGHWAY 51 NORTH,BROOKHAVEN,MS,39601,LINCOLN,(601) 833-6011,Acute Care Hospitals,Voluntary non-profit - Other
+81531,WELLSTONE REGIONAL HOSPITAL,2700 VISSING PARK RD,JEFFERSONVILLE,IN,47130,CLARK,(812) 284-8000,Psychiatric,Proprietary
+64277,GREENBRIER VALLEY MEDICAL CENTER,1320 MAPLEWOOD AVENUE,RONCEVERTE,WV,24970,GREENBRIER,(304) 647-4411,Acute Care Hospitals,Proprietary
+89661,FRANKLIN GENERAL HOSPITAL,1720 CENTRAL AVENUE EAST,HAMPTON,IA,50441,FRANKLIN,(641) 456-5000,Critical Access Hospitals,Government - Local
+12492,MEMORIAL HERMANN FIRST COLONY HOSPITAL,"24429 TOMBALL PARKWAY, SUITE 100",TOMBALL,TX,77375,HARRIS,(281) 516-0911,Acute Care Hospitals,Proprietary
+42916,MAYO CLINIC HEALTH SYSTEM - ALBERT LEA AND AUSTIN,404 WEST FOUNTAIN STREET,ALBERT LEA,MN,56007,FREEBORN,(507) 377-6452,Acute Care Hospitals,Voluntary non-profit - Private
+23520,ST JOSEPHS HOSPITAL,9515 HOLY CROSS LN,BREESE,IL,62230,CLINTON,(618) 526-4511,Acute Care Hospitals,Voluntary non-profit - Church
+70664,PUSHMATAHA COUNTY TOWN OF ANTLERS HOSPITAL,510 EAST MAIN STREET,ANTLERS,OK,74523,PUSHMATAHA,(580) 298-3341,Acute Care Hospitals,Government - Hospital District or Authority
+57235,PROFESSIONAL HOSPITAL GUAYNABO INC,AVE LAS CUMBRES ST 199KM 1 2,ALT DE SANTA,PR,969,GUAYNABO,(787) 708-6560,Acute Care Hospitals,Proprietary
+52163,HERITAGE VALLEY SEWICKLEY,720 BLACKBURN ROAD,SEWICKLEY,PA,15143,ALLEGHENY,(412) 741-7000,Acute Care Hospitals,Voluntary non-profit - Private
+38332,HOAG ORTHOPEDIC INSTITUTE,16250 SAND CANYON AVENUE,IRVINE,CA,92618,ORANGE,(949) 727-5000,Acute Care Hospitals,Proprietary
+89908,THREE GABLES SURGERY CENTER,5897 COUNTY ROAD 107,PROCTORVILLE,OH,45669,LAWRENCE,(740) 886-9911,Acute Care Hospitals,Proprietary
+18293,FRANKLIN COUNTY MEDICAL CENTER,44 NORTH FIRST EAST,PRESTON,ID,83263,FRANKLIN,(208) 852-0137,Critical Access Hospitals,Government - Local
+52852,UNIVERSITY COLO HEALTH MEMORIAL HOSPITAL CENTRAL,1400 E BOULDER ST,COLORADO SPRINGS,CO,80909,EL PASO,(719) 365-5000,Acute Care Hospitals,Government - Local
+61884,WESTERN MISSOURI MEDICAL CENTER,403 BURKARTH ROAD,WARRENSBURG,MO,64093,JOHNSON,(660) 747-2500,Acute Care Hospitals,Government - Hospital District or Authority
+84198,LEWISGALE HOSPITAL MONTGOMERY,3700 SOUTH MAIN STREET,BLACKSBURG,VA,24060,MONTGOMERY,(540) 951-1111,Acute Care Hospitals,Proprietary
+33340,LARGO MEDICAL CENTER,201 14TH ST SW,LARGO,FL,33770,PINELLAS,(727) 588-5200,Acute Care Hospitals,Proprietary
+18437,GOODALL WITCHER HOSPITAL,101 POSEY AVENUE,CLIFTON,TX,76634,BOSQUE,(254) 675-8322,Critical Access Hospitals,Government - Hospital District or Authority
+40761,ALBERT J SOLNIT CHILDREN'S CENTER - SOUTH CAMPUS,915 RIVER ROAD,MIDDLETOWN,CT,6457,MIDDLESEX,(860) 704-4090,Psychiatric,Government - State
+74177,SPRING MOUNTAIN SAHARA,5460 WEST SAHARA,LAS VEGAS,NV,89146,CLARK,(702) 873-2400,Psychiatric,Proprietary
+43317,PEACEHEALTH COTTAGE GROVE COMMUNITY MEDICAL CENTER,1515 VILLAGE DRIVE,COTTAGE GROVE,OR,97424,LANE,(541) 767-5202,Critical Access Hospitals,Voluntary non-profit - Private
+55178,PROVIDENT HOSPITAL OF CHICAGO,500 E 51ST ST,CHICAGO,IL,60615,COOK,(312) 572-2000,Acute Care Hospitals,Government - Local
+37463,YALOBUSHA GENERAL HOSPITAL,630 SOUTH MAIN STREET,WATER VALLEY,MS,38965,YALOBUSHA,(662) 473-1411,Acute Care Hospitals,Government - Local
+63924,MENTAL HEALTH INSTITUTE,2277 IOWA AVENUE,INDEPENDENCE,IA,50644,BUCHANAN,(319) 334-2583,Psychiatric,Government - State
+49897,RAULERSON HOSPITAL,1796 HWY 441 NORTH,OKEECHOBEE,FL,34972,OKEECHOBEE,(863) 763-2151,Acute Care Hospitals,Proprietary
+82271,LOS ALAMITOS MEDICAL CENTER,3751 KATELLA AVENUE,LOS ALAMITOS,CA,90720,ORANGE,(562) 799-3220,Acute Care Hospitals,Proprietary
+16762,SUBURBAN HOSPITAL,8600 OLD GEORGETOWN ROAD,BETHESDA,MD,20814,MONTGOMERY,(301) 896-2576,Acute Care Hospitals,Voluntary non-profit - Private
+60839,ARBOUR-FULLER HOSPITAL,200 MAY STREET,SOUTH ATTLEBORO,MA,2703,BRISTOL,(508) 761-8500,Psychiatric,Proprietary
+56375,UNION HOSPITAL OF CECIL COUNTY,106 BOW STREET,ELKTON,MD,21921,CECIL,(410) 392-7009,Acute Care Hospitals,Voluntary non-profit - Private
+85075,HIGH POINT TREATMENT CENTER,52 OAK STREET,MIDDLEBORO,MA,2346,PLYMOUTH,(774) 628-1011,Psychiatric,Voluntary non-profit - Private
+22124,SHERIDAN COMMUNITY HOSPITAL,301 N MAIN ST,SHERIDAN,MI,48884,MONTCALM,(989) 291-3261,Critical Access Hospitals,Voluntary non-profit - Private
+88821,ENLOE MEDICAL CENTER,1531 ESPLANADE,CHICO,CA,95926,BUTTE,(530) 332-7300,Acute Care Hospitals,Voluntary non-profit - Private
+93338,BEAR RIVER VALLEY HOSPITAL,905 NORTH 1000 WEST,TREMONTON,UT,84337,BOX ELDER,(435) 207-4500,Acute Care Hospitals,Voluntary non-profit - Private
+94630,HENRY COUNTY MEMORIAL HOSPITAL,1000 N 16TH ST,NEW CASTLE,IN,47362,HENRY,(765) 521-0890,Acute Care Hospitals,Government - Local
+15396,LITTLE COMPANY OF MARY HOSPITAL,2800 W 95TH ST,EVERGREEN PARK,IL,60805,COOK,(708) 422-6200,Acute Care Hospitals,Voluntary non-profit - Other
+75324,LEHIGH REGIONAL MEDICAL CENTER,1500 LEE BLVD,LEHIGH ACRES,FL,33936,LEE,(239) 369-2101,Acute Care Hospitals,Voluntary non-profit - Private
+72375,GENESIS BEHAVIORAL HOSPITAL,606 LATIOLAIS ROAD,BREAUX BRIDGE,LA,70517,ST. MARTIN,(337) 442-6254,Psychiatric,Proprietary
+24553,KIT CARSON COUNTY MEMORIAL HOSPITAL,286 16TH ST,BURLINGTON,CO,80807,KIT CARSON,(719) 346-5311,Critical Access Hospitals,Government - Hospital District or Authority
+10167,PRESENTATION MEDICAL CENTER,213 SECOND AVE NE,ROLLA,ND,58367,ROLETTE,(701) 477-3161,Critical Access Hospitals,Voluntary non-profit - Private
+50033,HEGG MEMORIAL HEALTH CENTER,1202 21ST AVENUE,ROCK VALLEY,IA,51247,SIOUX,(712) 476-8000,Critical Access Hospitals,Voluntary non-profit - Private
+83871,"ST JOHN SAPULPA, INC",1004 EAST BRYAN,SAPULPA,OK,74066,CREEK,(918) 227-8601,Critical Access Hospitals,Voluntary non-profit - Private
+71022,MONTANA STATE HOSPITAL,100 GARNET WAY,WARM SPRINGS,MT,59756,DEER LODGE,(406) 693-7000,Psychiatric,Government - State
+50008,"JANE PHILLIPS MEMORIAL MEDICAL CENTER, INC",3500 EAST FRANK PHILLIPS BOULEVARD,BARTLESVILLE,OK,74006,WASHINGTON,(918) 333-7200,Acute Care Hospitals,Voluntary non-profit - Private
+28872,IOWA SPECIALTY HOSPITAL - BELMOND,403 FIRST STREET SE,BELMOND,IA,50421,WRIGHT,(641) 444-3223,Critical Access Hospitals,Government - Local
+91777,HOLY ROSARY HEALTHCARE,2600 WILSON ST,MILES CITY,MT,59301,CUSTER,(406) 233-2600,Critical Access Hospitals,Voluntary non-profit - Private
+71125,LBJ TROPICAL MEDICAL CENTER,FAGAALU VILLAGE,PAGO PAGO,AS,96799,EASTERN DISTRICT,(684) 633-4590,Acute Care Hospitals,Government - Hospital District or Authority
+35780,BRONSON METHODIST HOSPITAL,601 JOHN STREET,KALAMAZOO,MI,49007,KALAMAZOO,(269) 341-6000,Acute Care Hospitals,Voluntary non-profit - Private
+26400,DECATUR MORGAN HOSPITAL-DECATUR CAMPUS,1201 7TH STREET SE,DECATUR,AL,35601,MORGAN,(256) 341-2000,Acute Care Hospitals,Government - Hospital District or Authority
+67148,DOCTORS HOSPITAL AT RENAISSANCE,5501 SOUTH MCCOLL,EDINBURG,TX,78539,HIDALGO,(956) 362-8677,Acute Care Hospitals,Physician
+38229,BRIGHAM AND WOMEN'S HOSPITAL,75 FRANCIS STREET,BOSTON,MA,2115,SUFFOLK,(617) 732-5500,Acute Care Hospitals,Voluntary non-profit - Private
+10954,"LAUREATE PSYCHIATRIC CLINIC AND HOSPITAL, INC",6655 SOUTH YALE AVENUE,TULSA,OK,74136,TULSA,(918) 481-4000,Psychiatric,Voluntary non-profit - Private
+14831,TAYLOR REGIONAL HOSPITAL,1700 OLD LEBANON ROAD,CAMPBELLSVILLE,KY,42718,TAYLOR,(270) 465-3561,Acute Care Hospitals,Government - Hospital District or Authority
+64903,THROCKMORTON COUNTY MEMORIAL HOSPITAL,802 N MINTER AVENUE,THROCKMORTON,TX,76483,THROCKMORTON,(940) 849-2151,Critical Access Hospitals,Government - Local
+58614,PENOBSCOT VALLEY HOSPITAL,"7 TRANSALPINE ROAD, PO BOX 368",LINCOLN,ME,4457,PENOBSCOT,(207) 794-3321,Critical Access Hospitals,Voluntary non-profit - Private
+62595,SUMMIT PACIFIC MEDICAL CENTER-SWING BED UNIT,600 EAST MAIN STREET,ELMA,WA,98541,GRAYS HARBOR,(360) 346-2222,Critical Access Hospitals,Government - Hospital District or Authority
+76534,MCLAREN CARO REGION,401 N HOOPER ST,CARO,MI,48723,TUSCOLA,(989) 673-3141,Critical Access Hospitals,Voluntary non-profit - Private
+52737,HOSPITAL ORIENTE,300 FONT MARTELLO STREET,HUMACAO,PR,792,HUMACAO,(787) 852-0505,Acute Care Hospitals,Proprietary
+42730,ST JOSEPHS AREA  HEALTH SERVICES,600 PLEASANT AVENUE,PARK RAPIDS,MN,56470,HUBBARD,(218) 732-3311,Critical Access Hospitals,Voluntary non-profit - Private
+47075,ST JOSEPH HOSPITAL,2700 DOLBEER ST,EUREKA,CA,95501,HUMBOLDT,(707) 445-8121,Acute Care Hospitals,Voluntary non-profit - Private
+62230,UNIVERSITY HEALTH SYSTEM,4502 MEDICAL DR,SAN ANTONIO,TX,78229,BEXAR,(210) 358-2637,Acute Care Hospitals,Government - Hospital District or Authority
+45026,"ST MARY'S SACRED HEART HOSPITAL, INC",367 CLEAR CREEK PARKWAY,LAVONIA,GA,30553,FRANKLIN,(706) 356-7800,Acute Care Hospitals,Voluntary non-profit - Private
+79752,CASS LAKE INDIAN HEALTH SERVICES HOSPITAL,425 7TH STREET NW,CASS LAKE,MN,56633,CASS,(218) 335-3200,Critical Access Hospitals,Government - Federal
+53614,GREENE COUNTY HOSPITAL,509 WILSON AVENUE,EUTAW,AL,35462,GREENE,(205) 372-3388,Acute Care Hospitals,Government - Local
+62336,HAMILTON HOSPITAL,901 WEST HAMILTON,OLNEY,TX,76374,YOUNG,(940) 564-5521,Critical Access Hospitals,Government - Hospital District or Authority
+14983,PARKVIEW WHITLEY HOSPITAL,1260 E SR 205,COLUMBIA CITY,IN,46725,WHITLEY,(260) 248-9301,Acute Care Hospitals,Voluntary non-profit - Private
+18231,GRANT REGIONAL HEALTH CENTER,507 S MONROE ST,LANCASTER,WI,53813,GRANT,(608) 723-2143,Critical Access Hospitals,Voluntary non-profit - Private
+91343,ST JOSEPHS COMMUNITY HOSPITAL OF WEST BEND,3200 PLEASANT VALLEY ROAD,WEST BEND,WI,53095,WASHINGTON,(262) 334-5533,Acute Care Hospitals,Voluntary non-profit - Private
+27751,BAPTIST HEALTH FLOYD,1850 STATE ST,NEW ALBANY,IN,47150,FLOYD,(812) 944-7701,Acute Care Hospitals,Voluntary non-profit - Private
+83104,MEMORIAL MEDICAL CENTER,815 N VIRGINIA STREET,PORT LAVACA,TX,77979,CALHOUN,(361) 552-6713,Critical Access Hospitals,Government - Local
+12897,LEXINGTON MEMORIAL HOSPITAL INC,250 HOSPITAL DRIVE PO BOX 1817,LEXINGTON,NC,27293,DAVIDSON,(336) 248-5161,Acute Care Hospitals,Voluntary non-profit - Private
+56796,COMMUNITY MEMORIAL HOSPITAL,111 W 10TH AVE  POST OFFICE BOX 420,REDFIELD,SD,57469,SPINK,(605) 472-1110,Critical Access Hospitals,Government - Local
+31539,96th Medical Group (Eglin AFB),96 MDG 307 Boatner Rd Suite 114,Eglin AFB,FL,32542,OKALOOSA,(850) 883-8600,Acute Care - Department of Defense,Department of Defense
+81481,CAPITAL DISTRICT PSYCH CENTER,75 NEW SCOTLAND AVE,ALBANY,NY,12208,ALBANY,(845) 398-5566,Psychiatric,Government - State
+81670,CRISP REGIONAL HOSPITAL,902 7TH STREET NORTH,CORDELE,GA,31015,CRISP,(229) 276-3100,Acute Care Hospitals,Government - Hospital District or Authority
+78555,ARKANSAS SURGICAL HOSPITAL,5201 NORTH SHORE DRIVE,NO LITTLE ROCK,AR,72118,PULASKI,(501) 748-8000,Acute Care Hospitals,Proprietary
+91018,HONORHEALTH DEER VALLEY MEDICAL CENTER,19829 NORTH 27TH AVENUE,PHOENIX,AZ,85027,MARICOPA,(623) 879-6100,Acute Care Hospitals,Voluntary non-profit - Private
+94631,COLLEGE HOSPITAL,10802 COLLEGE PL,CERRITOS,CA,90703,LOS ANGELES,(562) 924-9581,Psychiatric,Proprietary
+63817,SUTTER SOLANO MEDICAL CENTER,300 HOSPITAL DR,VALLEJO,CA,94589,SOLANO,(707) 554-5280,Acute Care Hospitals,Voluntary non-profit - Private
+19207,KINGSBORO PSYCHIATRIC HOSPITAL,681 CLARKSON AVENUE,BROOKLYN,NY,11203,KINGS,(718) 221-7395,Psychiatric,Government - State
+54378,UNC ROCKINGHAM,117 E KINGS HIGHWAY,EDEN,NC,27288,ROCKINGHAM,(336) 623-9711,Acute Care Hospitals,Voluntary non-profit - Private
+52431,ADMIN DE SERVICIOS MEDICOS  PUERTO RIC,BO MONACILLO CARR NUM 22,SAN JUAN,PR,935,SAN JUAN,(787) 777-3535,Acute Care Hospitals,Government - Local
+48589,LIVINGSTON HEALTHCARE,320 ALPENGLOW LANE,LIVINGSTON,MT,59047,PARK,(406) 222-3541,Critical Access Hospitals,Voluntary non-profit - Private
+13872,"ST FRANCIS HOSPITAL, ROSLYN",100 PORT WASHINGTON BOULEVARD,ROSLYN,NY,11576,NASSAU,(516) 562-6000,Acute Care Hospitals,Voluntary non-profit - Church
+79971,PIH HEALTH HOSPITAL-WHITTIER,12401 WASHINGTON BLVD,WHITTIER,CA,90602,LOS ANGELES,(526) 698-0811,Acute Care Hospitals,Voluntary non-profit - Private
+62763,FULTON COUNTY MEDICAL CENTER,214 PEACH ORCHARD ROAD,MCCONNELLSBURG,PA,17233,FULTON,(717) 485-3155,Critical Access Hospitals,Voluntary non-profit - Private
+40176,HCA HOUSTON HEALTHCARE WEST,12141 RICHMOND AVE,HOUSTON,TX,77082,HARRIS,(281) 588-8080,Acute Care Hospitals,Proprietary
+74527,MCCONE COUNTY HEALTH CENTER,605 SULLIVAN AVE,CIRCLE,MT,59215,MCCONE,(406) 485-3381,Critical Access Hospitals,Voluntary non-profit - Private
+38572,FRIO REGIONAL HOSPITAL,200 S IH 35,PEARSALL,TX,78061,FRIO,(830) 334-3617,Critical Access Hospitals,Voluntary non-profit - Private
+54710,OGDEN REGIONAL MEDICAL CENTER,5475 SOUTH 500 EAST,OGDEN,UT,84405,WEBER,(801) 479-2111,Acute Care Hospitals,Proprietary
+80408,TRINITY BETTENDORF,4500 UTICA RIDGE ROAD,BETTENDORF,IA,52722,SCOTT,(563) 742-5000,Acute Care Hospitals,Voluntary non-profit - Private
+70106,"NORTHERN COCHISE COMMUNITY HOSPITAL, INC.",901 WEST REX ALLEN DRIVE,WILLCOX,AZ,85643,COCHISE,(520) 384-3541,Critical Access Hospitals,Government - Hospital District or Authority
+92017,SAN JUAN REGIONAL MEDICAL CENTER,801 WEST MAPLE STREET,FARMINGTON,NM,87401,SAN JUAN,(505) 609-2000,Acute Care Hospitals,Voluntary non-profit - Private
+92795,MOREHOUSE GENERAL HOSPITAL,323 W WALNUT,BASTROP,LA,71220,MOREHOUSE,(318) 283-3600,Acute Care Hospitals,Government - Hospital District or Authority
+39487,ST LUKE'S HOSPITAL-GNADEN HUETTEN CAMPUS,211 NORTH 12TH STREET,LEHIGHTON,PA,18235,CARBON,(607) 377-1300,Acute Care Hospitals,Voluntary non-profit - Private
+93534,LABETTE HEALTH,1902 SOUTH US HWY 59,PARSONS,KS,67357,LABETTE,(620) 421-4880,Acute Care Hospitals,Government - Local
+32803,CHOCTAW NATION HEALTH SERVICES AUTHORITY,1 CHOCTAW WAY,TALIHINA,OK,74571,LATIMER,(918) 567-7000,Acute Care Hospitals,Tribal
+77515,PRATTVILLE BAPTIST HOSPITAL,124 S MEMORIAL DR,PRATTVILLE,AL,36067,AUTAUGA,(334) 361-4267,Acute Care Hospitals,Government - Hospital District or Authority
+84492,MEMORIAL MEDICAL CENTER,1615 MAPLE LANE,ASHLAND,WI,54806,ASHLAND,(715) 685-5500,Critical Access Hospitals,Voluntary non-profit - Private
+75234,PHYSICIANS MEDICAL CENTER,218 CORPORATE DRIVE,HOUMA,LA,70360,TERREBONNE,(985) 853-1390,Acute Care Hospitals,Physician
+45715,AVITA ONTARIO,715 RICHLAND MALL,ONTARIO,OH,44906,RICHLAND,(567) 307-7666,Acute Care Hospitals,Voluntary non-profit - Private
+94103,NORTON SOUND REGIONAL HOSPITAL,1000 GREG KRUSCHEK AVENUE (P O BOX 966),NOME,AK,99762,NOME,(907) 443-3311,Critical Access Hospitals,Tribal
+13082,SANTA YNEZ VALLEY COTTAGE HOSPITAL,2050 VIBORG RD,SOLVANG,CA,93463,SANTA BARBARA,(805) 688-6431,Critical Access Hospitals,Voluntary non-profit - Private
+92123,MOUNT GRANT GENERAL HOSPITAL,200 SOUTH A ST,HAWTHORNE,NV,89415,MINERAL,(702) 945-2461,Critical Access Hospitals,Government - Hospital District or Authority
+87580,NEWMAN REGIONAL HEALTH,1201 WEST 12TH AVENUE,EMPORIA,KS,66801,LYON,(620) 343-6800,Critical Access Hospitals,Government - Local
+57912,GLENDORA COMMUNITY HOSPITAL,150 WEST ROUTE 66,GLENDORA,CA,91740,LOS ANGELES,(626) 335-0231,Acute Care Hospitals,Proprietary
+88013,TENNOVA HEALTHCARE-NEWPORT MEDICAL CENTER,435 2ND ST,NEWPORT,TN,37821,COCKE,(423) 625-2200,Acute Care Hospitals,Voluntary non-profit - Church
+84125,MERCY HEALTH - TIFFIN HOSPITAL,45 ST LAWRENCE DRIVE,TIFFIN,OH,44883,SENECA,(419) 455-7000,Acute Care Hospitals,Voluntary non-profit - Church
+86952,MERIT HEALTH RANKIN,350 CROSSGATES BLVD,BRANDON,MS,39042,RANKIN,(601) 825-2811,Acute Care Hospitals,Proprietary
+13832,BELLEVUE HOSPITAL CENTER,462 FIRST AVENUE,NEW YORK,NY,10016,NEW YORK,(212) 562-4141,Acute Care Hospitals,Government - Local
+26234,BANNER ESTRELLA MEDICAL CENTER,9201 WEST THOMAS ROAD,PHOENIX,AZ,85037,MARICOPA,(623) 327-4000,Acute Care Hospitals,Voluntary non-profit - Private
+42609,HENNEPIN COUNTY MEDICAL CENTER 1,701 PARK AVENUE,MINNEAPOLIS,MN,55415,HENNEPIN,(612) 873-3629,Acute Care Hospitals,Government - Local
+90065,CHI ST ALEXIUS HEALTH WILLISTON,1301 15TH AVE W,WILLISTON,ND,58801,WILLIAMS,(701) 774-7400,Critical Access Hospitals,Voluntary non-profit - Church
+48575,CANYON VISTA MEDICAL CENTER,5700 EAST HIGHWAY 90,SIERRA VISTA,AZ,85635,COCHISE,(520) 263-3001,Acute Care Hospitals,Voluntary non-profit - Other
+52460,PORTSMOUTH REGIONAL HOSPITAL,333 BORTHWICK AVE,PORTSMOUTH,NH,3801,ROCKINGHAM,(603) 436-5110,Acute Care Hospitals,Proprietary
+42864,TETON VALLEY HOSPITAL,120 EAST HOWARD AVE,DRIGGS,ID,83422,TETON,(208) 354-2383,Critical Access Hospitals,Voluntary non-profit - Private
+90966,ODESSA MEMORIAL HEALTHCARE CENTER,502 E AMENDE DRIVE,ODESSA,WA,99159,LINCOLN,(509) 982-2611,Critical Access Hospitals,Government - Hospital District or Authority
+22286,RAY COUNTY MEMORIAL HOSPITAL,904 WOLLARD BOULEVARD,RICHMOND,MO,64085,RAY,(816) 470-5432,Critical Access Hospitals,Government - Local
+11442,WASHINGTON COUNTY HOSPITAL,304 E 3RD STREET,WASHINGTON,KS,66968,WASHINGTON,(785) 325-2211,Critical Access Hospitals,Government - Local
+32973,GUTHRIE TOWANDA MEMORIAL HOSPITAL,91 HOSPITAL DRIVE,TOWANDA,PA,18848,BRADFORD,(570) 265-2191,Acute Care Hospitals,Voluntary non-profit - Private
+32488,SHRINERS HOSPITALS FOR CHILDREN - SALT LAKE CITY,1275 EAST FAIRFAX ROAD,SALT LAKE CITY,UT,84103,SALT LAKE,(801) 536-3500,Childrens,Voluntary non-profit - Private
+46312,WILSON MEMORIAL HOSPITAL,915 WEST MICHIGAN STREET,SIDNEY,OH,45365,SHELBY,(937) 498-5405,Acute Care Hospitals,Voluntary non-profit - Private
+66538,BAYLOR SCOTT & WHITE MEDICAL CENTER- WAXAHACHIE,2400 N INTERSTATE HIGHWAY 35E,WAXAHACHIE,TX,75165,ELLIS,(972) 923-7000,Acute Care Hospitals,Voluntary non-profit - Private
+53096,GRAFTON CITY HOSPITAL,1 HOSPITAL PLAZA,GRAFTON,WV,26354,TAYLOR,(304) 265-0400,Critical Access Hospitals,Voluntary non-profit - Private
+18638,CAMPBELL COUNTY MEMORIAL HOSPITAL,501 SOUTH BURMA AVENUE,GILLETTE,WY,82716,CAMPBELL,(307) 688-1551,Acute Care Hospitals,Government - Hospital District or Authority
+30097,ST VINCENT CARMEL HOSPITAL INC,13500 N MERIDIAN ST,CARMEL,IN,46032,HAMILTON,(317) 582-7000,Acute Care Hospitals,Voluntary non-profit - Church
+19955,CORYELL MEMORIAL HEALTHCARE SYSTEM,1507 W MAIN STREET,GATESVILLE,TX,76528,CORYELL,(254) 865-8251,Critical Access Hospitals,Government - Hospital District or Authority
+26776,NORTHERN MAINE MEDICAL CENTER,194 E MAIN STREET,FORT KENT,ME,4743,AROOSTOOK,(207) 834-3195,Acute Care Hospitals,Voluntary non-profit - Private
+68168,LEGACY MERIDIAN PARK MEDICAL CENTER,19300 SW 65TH AVENUE,TUALATIN,OR,97062,WASHINGTON,(503) 692-2182,Acute Care Hospitals,Voluntary non-profit - Private
+43753,BANNER FORT COLLINS MEDICAL CENTER,4700 LADY MOON DRIVE,FORT COLLINS,CO,80528,LARIMER,(970) 821-4000,Acute Care Hospitals,Voluntary non-profit - Other
+49989,BUFFALO PSYCHIATRIC CENTER,400 FOREST AVE,BUFFALO,NY,14213,ERIE,(716) 885-2261,Psychiatric,Government - State
+89342,DOMINICAN HOSPITAL,1555 SOQUEL DRIVE,SANTA CRUZ,CA,95065,SANTA CRUZ,(831) 462-7700,Acute Care Hospitals,Proprietary
+38134,NOR-LEA HOSPITAL DISTRICT,1600 NORTH MAIN AVE,LOVINGTON,NM,88260,LEA,(575) 396-6611,Critical Access Hospitals,Government - Hospital District or Authority
+16214,CARILION NEW RIVER VALLEY MEDICAL CENTER,2900 LAMB CIRCLE,CHRISTIANSBURG,VA,24073,MONTGOMERY,(540) 731-2000,Acute Care Hospitals,Voluntary non-profit - Private
+76041,ROCKVILLE GENERAL HOSPITAL,31 UNION ST,ROCKVILLE,CT,6066,TOLLAND,(860) 872-5160,Acute Care Hospitals,Proprietary
+68346,RIVER PARK HOSPITAL,1230 SIXTH AVENUE,HUNTINGTON,WV,25701,CABELL,(304) 526-9100,Psychiatric,Proprietary
+82729,NOVANT HEALTH PRESBYTERIAN MEDICAL CENTER,200 HAWTHORNE LANE BOX 33549,CHARLOTTE,NC,28233,MECKLENBURG,(704) 384-4000,Acute Care Hospitals,Voluntary non-profit - Private
+37093,WESTCHESTER MEDICAL CENTER,100 WOODS RD,VALHALLA,NY,10595,WESTCHESTER,(914) 493-7000,Acute Care Hospitals,Government - Hospital District or Authority
+81282,SANPETE VALLEY HOSPITAL - CAH,1100 SOUTH MEDICAL DRIVE,MOUNT PLEASANT,UT,84647,SANPETE,(435) 462-4123,Critical Access Hospitals,Voluntary non-profit - Private
+29017,STAMFORD HOSPITAL,ONE HOSPITAL PLAZA,STAMFORD,CT,6904,FAIRFIELD,(203) 276-1000,Acute Care Hospitals,Voluntary non-profit - Private
+31492,SWEDISH MEDICAL CENTER,747 BROADWAY,SEATTLE,WA,98122,KING,(206) 386-6000,Acute Care Hospitals,Voluntary non-profit - Private
+17109,FULTON COUNTY HEALTH CENTER,725 SOUTH SHOOP AVENUE,WAUSEON,OH,43567,FULTON,(419) 335-2015,Critical Access Hospitals,Voluntary non-profit - Private
+72275,MAYO CLINIC HEALTH SYSTEM-SPRINGFIELD,625 JACKSON AVENUE NORTH,SPRINGFIELD,MN,56087,BROWN,(507) 723-6201,Critical Access Hospitals,Voluntary non-profit - Private
+41399,HEMPHILL COUNTY HOSPITAL,1020 S 4TH ST,CANADIAN,TX,79014,HEMPHILL,(806) 323-6622,Acute Care Hospitals,Government - Hospital District or Authority
+52555,PINE REST CHRISTIAN MENTAL HEALTH SERVICES,"300 - 68TH STREET, SE",GRAND RAPIDS,MI,49548,KENT,(616) 455-5000,Psychiatric,Government - Federal
+63250,"MERCY HOSPITAL WATONGA, INC",500 NORTH CLARENCE NASH BOULEVARD,WATONGA,OK,73772,BLAINE,(580) 623-7211,Critical Access Hospitals,Voluntary non-profit - Private
+37488,FAYETTE MEDICAL CENTER,1653 TEMPLE AVENUE NORTH,FAYETTE,AL,35555,FAYETTE,(205) 932-5966,Acute Care Hospitals,Voluntary non-profit - Other
+92370,WEST KENDALL BAPTIST HOSPITAL,9555 SW 162 AVE,MIAMI,FL,33196,MIAMI-DADE,(786) 467-2011,Acute Care Hospitals,Voluntary non-profit - Private
+32756,RIVERSIDE TAPPAHANNOCK HOSPITAL,618 HOSPITAL ROAD,TAPPAHANNOCK,VA,22560,ESSEX,(804) 443-6189,Acute Care Hospitals,Voluntary non-profit - Private
+56087,DUKES MEMORIAL HOSPITAL,275 W 12TH ST,PERU,IN,46970,MIAMI,(765) 472-8000,Critical Access Hospitals,Voluntary non-profit - Private
+37173,SIDNEY REGIONAL MEDICAL CENTER,1000 POLE CREEK CROSSING,SIDNEY,NE,69162,CHEYENNE,(308) 254-5825,Critical Access Hospitals,Voluntary non-profit - Private
+55681,UNIVERSITY OF MARYLAND MEDICAL CENTER,22 SOUTH  GREENE STREET,BALTIMORE,MD,21201,BALTIMORE CITY,(410) 328-8667,Acute Care Hospitals,Voluntary non-profit - Private
+33103,MARTHA'S VINEYARD HOSPITAL INC,"ONE HOSPITAL ROAD, FIRST FL, WING 5,  PO BOX 1477",OAK BLUFFS,MA,2557,DUKES,(508) 693-0410,Critical Access Hospitals,Voluntary non-profit - Private
+63257,VAL VERDE REGIONAL MEDICAL CENTER,801 BEDELL AVE,DEL RIO,TX,78840,VAL VERDE,(830) 775-8566,Acute Care Hospitals,Proprietary
+55031,ST MICHAEL'S HOSPITAL - CAH,410 W 16TH AVE,TYNDALL,SD,57066,BON HOMME,(605) 589-2100,Critical Access Hospitals,Government - Local
+45271,SPECTRUM HEALTH KELSEY HOSPITAL,418 WASHINGTON,LAKEVIEW,MI,48850,MONTCALM,(989) 352-7211,Critical Access Hospitals,Voluntary non-profit - Private
+55849,WEISMAN CHILDRENS REHABILITATION HOSPITAL,"92 BRICK ROAD, 3RD FLOOR",MARLTON,NJ,8053,BURLINGTON,(856) 489-4520,Childrens,Proprietary
+50567,HICKORY TRAIL HOSPITAL,2000 N OLD HICKORY TRAIL,DESOTO,TX,75115,DALLAS,(972) 298-7323,Psychiatric,Proprietary
+62619,LAKE REGION HEALTHCARE CORPORATION,712 SOUTH CASCADE,FERGUS FALLS,MN,56537,OTTER TAIL,(218) 736-8000,Acute Care Hospitals,Voluntary non-profit - Private
+10656,CHILDREN'S HOSPITAL & MEDICAL CENTER,8200 DODGE ST,OMAHA,NE,68114,DOUGLAS,(402) 955-5400,Childrens,Voluntary non-profit - Private
+29585,FRANKLIN MEDICAL CENTER,2106 LOOP ROAD,WINNSBORO,LA,71295,FRANKLIN,(318) 435-9411,Acute Care Hospitals,Government - Hospital District or Authority
+47687,SELF REGIONAL HEALTHCARE,1325 SPRING STREET,GREENWOOD,SC,29646,GREENWOOD,(864) 227-4111,Acute Care Hospitals,Voluntary non-profit - Private
+89699,UAB CALLAHAN EYE HOSPITAL AUTHORITY,"1720 UNIVERSITY BLVD, SUITE 500",BIRMINGHAM,AL,35233,JEFFERSON,(205) 325-8100,Acute Care Hospitals,Voluntary non-profit - Private
+78918,ST ELIZABETH FT THOMAS,85 NORTH GRAND AVENUE,FORT THOMAS,KY,41075,CAMPBELL,(859) 572-3100,Acute Care Hospitals,Voluntary non-profit - Private
+68304,SHOALS HOSPITAL,201 WEST AVALON AVENUE,MUSCLE SHOALS,AL,35661,COLBERT,(256) 386-1601,Acute Care Hospitals,Government - Hospital District or Authority
+29880,EASTSIDE PSYCHIATRIC HOSPITAL,"2634B CAPITAL CIRCLE NE, 2ND FLR",TALLAHASSEE,FL,32308,LEON,(904) 487-2930,Psychiatric,Voluntary non-profit - Private
+65652,VALLEY HOSPITAL MEDICAL CENTER,620 SHADOW LANE,LAS VEGAS,NV,89106,CLARK,(702) 388-4000,Acute Care Hospitals,Proprietary
+15357,DAVIESS COMMUNITY HOSPITAL,1314 E WALNUT ST,WASHINGTON,IN,47501,DAVIESS,(812) 254-2760,Acute Care Hospitals,Government - Local
+87482,AVERA HOLY FAMILY HOSPITAL,826 NORTH 8TH STREET,ESTHERVILLE,IA,51334,EMMET,(712) 362-2631,Critical Access Hospitals,Voluntary non-profit - Church
+42273,EASTON HOSPITAL,250 SOUTH 21ST STREET,EASTON,PA,18042,NORTHAMPTON,(610) 250-4076,Acute Care Hospitals,Proprietary
+61332,ST LUKE'S HOSPITAL AT THE VINTAGE,20171 CHASEWOOD PARK DRIVE,HOUSTON,TX,77070,HARRIS,(832) 534-5000,Acute Care Hospitals,Proprietary
+69059,CENTRAL LOUISIANA STATE HOSPITAL,242 W SHAMROCK STREET,PINEVILLE,LA,71361,RAPIDES,(318) 484-6200,Psychiatric,Government - State
+10107,MONTEFIORE MOUNT VERNON HOSPITAL,12 NORTH 7TH AVENUE,MOUNT VERNON,NY,10550,WESTCHESTER,(914) 664-8000,Acute Care Hospitals,Voluntary non-profit - Private
+65459,BARAGA COUNTY MEMORIAL HOSPITAL,18341 US HIGHWAY 41,L' ANSE,MI,49946,BARAGA,(906) 524-3300,Critical Access Hospitals,Government - Local
+76353,HEALTHEAST ST JOHN'S HOSPITAL,1575 BEAM AVENUE,MAPLEWOOD,MN,55109,RAMSEY,(651) 232-7000,Acute Care Hospitals,Voluntary non-profit - Private
+74453,VERMONT PSYCHIATRIC CARE HOSPITAL,350 FISHER ROAD,BERLIN,VT,5602,WASHINGTON,(802) 888-6770,Psychiatric,Government - State
+14964,SOJOURN AT SENECA,50 ST LAWRENCE DRIVE,TIFFIN,OH,44883,SENECA,(567) 207-2230,Psychiatric,Voluntary non-profit - Private
+48417,ROYAL OAKS HOSPITAL,307 N MAIN,WINDSOR,MO,65360,HENRY,(660) 647-2182,Psychiatric,Voluntary non-profit - Private
+47395,TEXAS HEALTH PRESBYTERIAN HOSPITAL ALLEN,1105 CENTRAL EXPRESSWAY NORTH,ALLEN,TX,75013,COLLIN,(972) 747-6197,Acute Care Hospitals,Government - Federal
+86185,CENTINELA HOSPITAL MEDICAL CENTER,555 EAST HARDY STREET,INGLEWOOD,CA,90301,LOS ANGELES,(310) 673-4660,Acute Care Hospitals,Proprietary
+51728,PRISMA HEALTH  PATEWOOD HOSPITAL,175 PATEWOOD DRIVE,GREENVILLE,SC,29615,GREENVILLE,(864) 797-1000,Acute Care Hospitals,Voluntary non-profit - Private
+11526,BRUNSWICK PSYCH CENTER,366 BROADWAY,AMITYVILLE,NY,11701,SUFFOLK,(516) 789-7000,Psychiatric,Proprietary
+21492,CHRISTUS MOTHER FRANCES HOSPITAL- JACKSONVILLE,2026 S JACKSON STREET,JACKSONVILLE,TX,75766,CHEROKEE,(903) 541-4500,Critical Access Hospitals,Voluntary non-profit - Private
+53961,ST JAMES HEALTHCARE,400 S CLARK ST,BUTTE,MT,59701,SILVER BOW,(406) 723-2500,Acute Care Hospitals,Voluntary non-profit - Private
+21831,OZARKS COMMUNITY HOSPITAL OF GRAVETTE,1101 JACKSON STREET SW,GRAVETTE,AR,72736,BENTON,(479) 787-5291,Critical Access Hospitals,Proprietary
+30273,SOUTH PENINSULA HOSPITAL,4300 BARTLETT ST,HOMER,AK,99603,KENAI PENINSULA,(907) 235-8101,Critical Access Hospitals,Voluntary non-profit - Private
+21088,AURORA MEDICAL CTR OSHKOSH,855 N WESTHAVEN DRIVE,OSHKOSH,WI,54904,WINNEBAGO,(920) 456-6000,Acute Care Hospitals,Voluntary non-profit - Private
+55236,BRYAN W. WHITFIELD MEMORIAL HOSPITAL,105 HIGHWAY 80 EAST,DEMOPOLIS,AL,36732,MARENGO,(334) 289-4000,Acute Care Hospitals,Government - Hospital District or Authority
+54577,ADVENTHEALTH HEART OF FLORIDA,40100 HWY 27,DAVENPORT,FL,33837,POLK,(863) 422-4971,Acute Care Hospitals,Proprietary
+24471,KAISER FOUNDATION HOSPITAL - DOWNEY,9333 IMPERIAL HIGHWAY,DOWNEY,CA,90242,LOS ANGELES,(562) 461-6007,Acute Care Hospitals,Voluntary non-profit - Other
+67034,ORTHOPAEDIC HOSPITAL OF WISCONSIN,475 W RIVER WOODS PKWY,GLENDALE,WI,53212,MILWAUKEE,(414) 961-6800,Acute Care Hospitals,Voluntary non-profit - Other
+51334,ROANE MEDICAL CENTER,8045 ROANE MEDICAL CENTER DRIVE,HARRIMAN,TN,37748,ROANE,(865) 316-1000,Acute Care Hospitals,Government - Hospital District or Authority
+68344,ARKANSAS METHODIST MEDICAL CENTER,900 WEST KINGSHIGHWAY,PARAGOULD,AR,72450,GREENE,(870) 239-7000,Acute Care Hospitals,Voluntary non-profit - Private
+57095,NORTH METRO MEDICAL CENTER,1400 BRADEN STREET,JACKSONVILLE,AR,72076,PULASKI,(501) 985-7000,Acute Care Hospitals,Proprietary
+19599,PROVIDENCE CENTRALIA HOSPITAL,914 S SCHEUBER ROAD,CENTRALIA,WA,98531,LEWIS,(360) 736-2803,Acute Care Hospitals,Voluntary non-profit - Other
+29276,BOONE COUNTY HEALTH CENTER,"P O BOX 151, 723 WEST FAIRVIEW ST",ALBION,NE,68620,BOONE,(402) 395-2191,Critical Access Hospitals,Government - Local
+84717,LINCOLN MEDICAL CENTER,106 MEDICAL CENTER BLVD,FAYETTEVILLE,TN,37334,LINCOLN,(931) 438-1100,Acute Care Hospitals,Government - Local
+12314,MUNSON HEALTHCARE CHARLEVOIX HOSPITAL,14700 LAKESHORE DRIVE,CHARLEVOIX,MI,49720,CHARLEVOIX,(231) 547-4024,Critical Access Hospitals,Voluntary non-profit - Other
+71613,"OMEGA HOSPITAL, LLC",2525 SEVERN AVENUE,METAIRIE,LA,70002,JEFFERSON,(504) 849-4900,Acute Care Hospitals,Proprietary
+29429,MUSC HEALTH MARION MEDICAL CENTER,2829 E HWY 76,MULLINS,SC,29574,MARION,(843) 431-2000,Acute Care Hospitals,Government - State
+88930,WEST RIVER REGIONAL MEDICAL CENTER-CAH,1000 HIGHWAY 12,HETTINGER,ND,58639,ADAMS,(701) 567-4561,Critical Access Hospitals,Voluntary non-profit - Private
+27705,SETON MEDICAL CENTER,1900 SULLIVAN AVENUE,DALY CITY,CA,94015,SAN MATEO,(650) 992-4000,Acute Care Hospitals,Voluntary non-profit - Church
+23209,MCLEOD MEDICAL CENTER - DILLON,301 E JACKSON STREET PO BOX 1327,DILLON,SC,29536,DILLON,(843) 774-4111,Acute Care Hospitals,Voluntary non-profit - Private
+57123,PEACE HARBOR MEDICAL CENTER,400 9TH STREET,FLORENCE,OR,97439,LANE,(541) 997-8412,Critical Access Hospitals,Voluntary non-profit - Church
+82124,THREE RIVERS BEHAVIORAL HEALTH,2900 SUNSET BOULEVARD,WEST COLUMBIA,SC,29169,LEXINGTON,(803) 796-9911,Psychiatric,Proprietary
+43982,SUTTER DAVIS HOSPITAL,2000 SUTTER PLACE,DAVIS,CA,95616,YOLO,(530) 756-6440,Acute Care Hospitals,Voluntary non-profit - Private
+81477,LEGACY SILVERTON MEDICAL CENTER,342 FAIRVIEW STREET,SILVERTON,OR,97381,MARION,(503) 873-1500,Acute Care Hospitals,Voluntary non-profit - Private
+43187,CLAIBORNE COUNTY HOSPITAL,123 MCCOMB AVENUE,PORT GIBSON,MS,39150,CLAIBORNE,(601) 437-5141,Critical Access Hospitals,Government - Local
+17989,SUMMA WESTERN RESERVE HOSPITAL,1900 23RD STREET,CUYAHOGA FALLS,OH,44223,SUMMIT,(330) 971-7000,Acute Care Hospitals,Voluntary non-profit - Other
+34276,SWAIN COUNTY HOSPITAL,45 PLATEAU STREET,BRYSON CITY,NC,28713,SWAIN,(828) 488-2155,Critical Access Hospitals,Voluntary non-profit - Private
+60025,ASHLAND HEALTH CENTER,625 SOUTH KENTUCKY,ASHLAND,KS,67831,CLARK,(620) 635-2241,Critical Access Hospitals,Voluntary non-profit - Other
+18265,TEXAS ORTHOPEDIC HOSPITAL,7401 SOUTH MAIN STREET,HOUSTON,TX,77030,HARRIS,(713) 799-8600,Acute Care Hospitals,Voluntary non-profit - Other
+78619,CYPRESS CREEK HOSPITAL,17750 CALI DRIVE,HOUSTON,TX,77090,HARRIS,(281) 586-7600,Psychiatric,Proprietary
+64914,AURORA BEHAVIORAL HEALTH SYSTEM,6015 WEST PEORIA  AVENUE,GLENDALE,AZ,85302,MARICOPA,(623) 344-4400,Psychiatric,Proprietary
+25154,NEW YORK-PRESBYTERIAN/HUDSON VALLEY HOSPITAL,1980 CROMPOND ROAD,CORTLANDT MANOR,NY,10567,WESTCHESTER,(914) 734-3611,Acute Care Hospitals,Voluntary non-profit - Private
+87256,ST JOSEPH'S BEHAVIORAL HEALTH CENTER,2510 N  CALIFORNIA ST,STOCKTON,CA,95204,SAN JOAQUIN,(209) 461-2000,Psychiatric,Voluntary non-profit - Private
+70287,OCEANS BEHAVIORAL HOSPITAL OF FORT WORTH,6200 OVERTON RIDGE BLVD,FORT WORTH,TX,76132,TARRANT,(817) 361-1991,Psychiatric,Proprietary
+49662,PERRY COMMUNITY HOSPITAL,2718 SQUIRREL HOLLOW DRIVE,LINDEN,TN,37096,PERRY,(931) 589-2121,Acute Care Hospitals,Proprietary
+36156,SALEM REGIONAL MEDICAL CENTER,1995 EAST STATE STREET,SALEM,OH,44460,COLUMBIANA,(330) 332-1551,Acute Care Hospitals,Voluntary non-profit - Private
+76791,ROSELAND COMMUNITY HOSPITAL,45 W 111TH STREET,CHICAGO,IL,60628,COOK,(773) 995-3000,Acute Care Hospitals,Voluntary non-profit - Other
+62829,WAUKESHA MEMORIAL HOSPITAL,725 AMERICAN AVE,WAUKESHA,WI,53188,WAUKESHA,(262) 928-1000,Acute Care Hospitals,Voluntary non-profit - Private
+42170,CARRIS HEALTH LLC,301 BECKER AVE SW,WILLMAR,MN,56201,KANDIYOHI,(320) 235-4543,Acute Care Hospitals,Government - Local
+32126,LOURDES MEDICAL CENTER,520 N FOURTH AVENUE,PASCO,WA,99301,FRANKLIN,(509) 546-2278,Critical Access Hospitals,Voluntary non-profit - Church
+45867,LARABIDA CHILDRENS HOSPITAL I,E 65TH ST AT LAKE MICHIGAN,CHICAGO,IL,60649,COOK,(773) 363-6700,Childrens,Voluntary non-profit - Private
+93275,QUINCY VALLEY HOSPITAL,908 10TH AVENUE SOUTHWEST,QUINCY,WA,98848,GRANT,(509) 787-3531,Critical Access Hospitals,Government - Hospital District or Authority
+23858,PALM BEACH GARDENS MEDICAL CENTER,3360 BURNS RD,PALM BEACH GARDENS,FL,33410,PALM BEACH,(561) 622-1411,Acute Care Hospitals,Proprietary
+89391,ST JOSEPH'S MEDICAL CENTER,127 SOUTH BROADWAY,YONKERS,NY,10701,WESTCHESTER,(914) 378-7000,Acute Care Hospitals,Voluntary non-profit - Private
+13439,HARPER UNIVERSITY HOSPITAL,3990 JOHN R STREET,DETROIT,MI,48201,WAYNE,(313) 745-6211,Acute Care Hospitals,Proprietary
+50597,OTTAWA REGIONAL HOSPITAL & HEALTHCARE CENTER,1100 EAST NORRIS DRIVE,OTTAWA,IL,61350,LA SALLE,(815) 433-3100,Acute Care Hospitals,Voluntary non-profit - Private
+62481,GEISINGER MEDICAL CENTER,100 NORTH ACADEMY AVENUE,DANVILLE,PA,17822,MONTOUR,(570) 271-6211,Acute Care Hospitals,Voluntary non-profit - Private
+45650,Walter Reed National Military Med Cen,8901 Rockville Pike,Bethesda,MD,20889,MONTGOMERY,(301) 295-4000,Acute Care - Department of Defense,Department of Defense
+31572,BEHAVIORAL HEALTHCARE CENTER AT CLARKSVILLE,930 PROFESSIONAL PARK DRIVE,CLARKSVILLE,TN,37040,MONTGOMERY,(931) 538-6420,Psychiatric,Proprietary
+23805,MEMORIAL HOSPITAL AT GULFPORT,4500 13TH STREET,GULFPORT,MS,39502,HARRISON,(228) 867-4000,Acute Care Hospitals,Government - Local
+81928,BELLVILLE ST JOSEPH HEALTH CENTER,44 N CUMMINGS ST,BELLVILLE,TX,77418,AUSTIN,(979) 865-3141,Acute Care Hospitals,Government - Hospital District or Authority
+86637,RIVERLAND MEDICAL CENTER,1700  WALLACE BLVD,FERRIDAY,LA,71334,CONCORDIA,(318) 757-6551,Critical Access Hospitals,Government - Hospital District or Authority
+94871,GENESIS HOSPITAL,2951 MAPLE AVENUE,ZANESVILLE,OH,43701,MUSKINGUM,(740) 454-5000,Acute Care Hospitals,Voluntary non-profit - Private
+17515,FLOYD VALLEY HEALTHCARE,714 LINCOLN ST NE,LE MARS,IA,51031,PLYMOUTH,(712) 546-7871,Critical Access Hospitals,Proprietary
+63556,THE QUEENS MEDICAL CENTER,1301 PUNCHBOWL ST,HONOLULU,HI,96813,HONOLULU,(808) 538-9011,Acute Care Hospitals,Voluntary non-profit - Private
+44165,NORTHEAST GEORGIA MEDICAL CENTER BARROW,316 NORTH BROAD STREET,WINDER,GA,30680,BARROW,(770) 848-8611,Acute Care Hospitals,Proprietary
+65280,HEARTLAND BEHAVIORAL HEALTHCARE,3000 ERIE SW,MASSILLON,OH,44648,STARK,(330) 833-3135,Psychiatric,Government - State
+17462,Weed ACH (FT Irwin),166 4th Street,Fort Irwin,CA,92310,SAN BERNARDINO,(866) 957-9224,Acute Care - Department of Defense,Department of Defense
+39853,CHIPPEWA COUNTY WAR MEMORIAL HOSPITAL,500 OSBORN BLVD,SAULT SAINTE MARIE,MI,49783,CHIPPEWA,(906) 635-4460,Acute Care Hospitals,Voluntary non-profit - Private
+76095,MEDSTAR FRANKLIN SQUARE MEDICAL CENTER,9000 FRANKLIN SQUARE DRIVE,BALTIMORE,MD,21237,BALTIMORE,(443) 777-7850,Acute Care Hospitals,Voluntary non-profit - Private
+88164,"MERCY HOSPITAL LOGAN COUNTY, INC",200 S ACADEMY RD,GUTHRIE,OK,73044,LOGAN,(405) 282-6700,Critical Access Hospitals,Voluntary non-profit - Private
+25006,HANNIBAL REGIONAL HOSPITAL,6000 HOSPITAL DR,HANNIBAL,MO,63401,MARION,(573) 248-1300,Acute Care Hospitals,Voluntary non-profit - Private
+58387,GREATER BALTIMORE MEDICAL CENTER,6701 NORTH  CHARLES STREET,BALTIMORE,MD,21204,BALTIMORE,(443) 849-2000,Acute Care Hospitals,Voluntary non-profit - Private
+86570,SAMUEL MAHELONA MEMORIAL HOSPITAL,4800 KAWAIHAU ROAD,KAPAA,HI,96746,KAUAI,(808) 822-4961,Critical Access Hospitals,Government - State
+43153,TRINITY MUSCATINE,1518 MULBERRY AVENUE,MUSCATINE,IA,52761,MUSCATINE,(563) 264-9100,Acute Care Hospitals,Voluntary non-profit - Private
+11258,PAGOSA SPRINGS MEDICAL CENTER,95 SOUTH PAGOSA BOULEVARD,PAGOSA SPRINGS,CO,81147,ARCHULETA,(970) 731-3700,Critical Access Hospitals,Government - Hospital District or Authority
+93442,LAREDO MEDICAL CENTER,1700 EAST SAUNDERS,LAREDO,TX,78044,WEBB,(956) 796-5000,Acute Care Hospitals,Proprietary
+38271,STONE COUNTY MEDICAL CENTER,2106 EAST MAIN STREET,MOUNTAIN VIEW,AR,72560,STONE,(870) 269-4361,Critical Access Hospitals,Voluntary non-profit - Private
+24516,WHEELING HOSPITAL,1 MEDICAL PARK,WHEELING,WV,26003,OHIO,(304) 243-3000,Acute Care Hospitals,Voluntary non-profit - Church
+16961,CENTRAL CAROLINA HOSPITAL,1135 CARTHAGE ST,SANFORD,NC,27330,LEE,(919) 774-2100,Acute Care Hospitals,Voluntary non-profit - Private
+73178,SAINT FRANCIS MEMORIAL HOSPITAL,900 HYDE ST,SAN FRANCISCO,CA,94109,SAN FRANCISCO,(415) 353-6000,Acute Care Hospitals,Voluntary non-profit - Private
+13671,SACRED HEART HOSPITAL,421 CHEW STREET,ALLENTOWN,PA,18102,LEHIGH,(610) 776-4900,Acute Care Hospitals,Voluntary non-profit - Private
+17753,COMMUNITY HOSPITAL OF ANDERSON AND MADISON COUNTY,1515 N MADISON AVE,ANDERSON,IN,46011,MADISON,(765) 298-4242,Acute Care Hospitals,Voluntary non-profit - Private
+51494,SAUK PRAIRIE HOSPITAL,260 26TH STREET,PRAIRIE DU SAC,WI,53578,SAUK,(608) 643-3311,Acute Care Hospitals,Voluntary non-profit - Private
+22342,UF HEALTH SHANDS HOSPITAL,1600 SW ARCHER RD,GAINESVILLE,FL,32610,ALACHUA,(352) 265-8000,Acute Care Hospitals,Voluntary non-profit - Private
+52684,MITCHELL COUNTY REGIONAL HEALTH,616 NORTH EIGHTH STREET,OSAGE,IA,50461,MITCHELL,(641) 732-6000,Critical Access Hospitals,Voluntary non-profit - Other
+38486,NEMAHA COUNTY HOSPITAL,2022  13TH ST,AUBURN,NE,68305,NEMAHA,(402) 274-4366,Critical Access Hospitals,Government - Local
+84523,YORK HOSPITAL,15 HOSPITAL DRIVE,YORK,ME,3909,YORK,(207) 363-4321,Acute Care Hospitals,Voluntary non-profit - Private
+48708,ASPIRUS RIVERVIEW HOSPITAL & CLINICS INC,410 DEWEY ST,WISCONSIN RAPIDS,WI,54495,WOOD,(715) 423-6060,Acute Care Hospitals,Voluntary non-profit - Private
+18436,INDIANHEAD MEDICAL CENTER SHELL LAKE,113 4TH AVE,SHELL LAKE,WI,54871,WASHBURN,(715) 468-7833,Critical Access Hospitals,Proprietary
+53548,OCEANS BEHAVIORAL HOSPITAL OF BATON ROUGE,11135 FLORIDA BLVD,BATON ROUGE,LA,70815,E. BATON ROUGE,(225) 356-7030,Psychiatric,Proprietary
+10397,CLARION PSYCHIATRIC CENTER,TWO HOSPITAL DR RD#3 BOX 188,CLARION,PA,16214,CLARION,(814) 226-9545,Psychiatric,Proprietary
+90407,CHILDREN'S HOSPITAL NMC,"111 MICHIGAN AVE, NW",WASHINGTON,DC,20010,THE DISTRICT,(202) 476-5000,Childrens,Voluntary non-profit - Private
+89843,SETON SMITHVILLE REGIONAL HOSPITAL,1201 HILL RD,SMITHVILLE,TX,78957,BASTROP,(512) 237-3214,Acute Care Hospitals,Voluntary non-profit - Church
+19110,SAN JOSE BEHAVIORAL HEALTH,455 SILICON VALLEY BOULEVARD,SAN JOSE,CA,95138,SANTA CLARA,(669) 234-5959,Psychiatric,Proprietary
+64279,LOWELL GENERAL HOSPITAL,295 VARNUM AVENUE,LOWELL,MA,1854,MIDDLESEX,(978) 937-6000,Acute Care Hospitals,Voluntary non-profit - Private
+87362,COMMUNITY HOSPITAL OF HUNTINGTON PARK,2623 E SLAUSON AVE,HUNTINGTON PARK,CA,90255,LOS ANGELES,(323) 583-1931,Acute Care Hospitals,Proprietary
+27334,FLEMING COUNTY HOSPITAL,55 FOUNDATION DRIVE,FLEMINGSBURG,KY,41041,FLEMING,(606) 849-2351,Acute Care Hospitals,Voluntary non-profit - Other
+33074,PROMEDICA COLDWATER REGIONAL HOSPITAL,274 E CHICAGO ST,COLDWATER,MI,49036,BRANCH,(517) 279-5400,Acute Care Hospitals,Government - Local
+86706,SOUTHERN SURGICAL HOSPITAL,1700 W LINDBERG DRIVE,SLIDELL,LA,70458,ST. TAMMANY,(985) 641-0600,Acute Care Hospitals,Physician
+63375,OSF HEART OF MARY MEDICAL CENTER,1400 WEST PARK AVENUE,URBANA,IL,61801,CHAMPAIGN,(217) 337-2000,Acute Care Hospitals,Voluntary non-profit - Church
+84535,HARDIN MEMORIAL HOSPITAL,921 EAST FRANKLIN STREET,KENTON,OH,43326,HARDIN,(419) 673-0761,Critical Access Hospitals,Voluntary non-profit - Private
+48162,ASCENSION COLUMBIA ST MARY'S HOSPITAL MILWAUKEE,2323 N LAKE DR,MILWAUKEE,WI,53211,MILWAUKEE,(414) 585-1374,Acute Care Hospitals,Voluntary non-profit - Church
+51593,HOLLAND COMMUNITY HOSPITAL,602 MICHIGAN AVE,HOLLAND,MI,49423,OTTAWA,(616) 392-5141,Acute Care Hospitals,Voluntary non-profit - Private
+63641,BLACK RIVER COMMUNITY MEDICAL CENTER,217 PHYSICIANS PARK DRIVE,POPLAR BLUFF,MO,63901,BUTLER,(573) 686-6001,Acute Care Hospitals,Voluntary non-profit - Private
+16075,ST LOUISE REGIONAL HOSPITAL,9400 NO NAME UNO,GILROY,CA,95020,SANTA CLARA,(408) 848-2000,Acute Care Hospitals,Voluntary non-profit - Church
+36080,HOSPITAL DAMAS INC,PONCE BY PASS #2213,PONCE,PR,717,PONCE,(787) 840-8460,Acute Care Hospitals,Voluntary non-profit - Private
+22682,ELY BLOOMENSON COMMUNITY HOSPITAL,328 WEST CONAN STREET,ELY,MN,55731,ST. LOUIS,(218) 365-3271,Critical Access Hospitals,Voluntary non-profit - Private
+58835,CHICAGO-READ MENTAL HEALTH CENTER,4200 N OAK PARK AVE,CHICAGO,IL,60634,COOK,(773) 794-4000,Psychiatric,Government - State
+13962,HOUSTON METHODIST ST JOHN HOSPITAL,18300 ST JOHN DRIVE,NASSAU BAY,TX,77058,HARRIS,(281) 333-5503,Acute Care Hospitals,Voluntary non-profit - Private
+72003,WAUPUN MEMORIAL HOSPITAL,620 W BROWN ST,WAUPUN,WI,53963,FOND DU LAC,(920) 324-6512,Critical Access Hospitals,Voluntary non-profit - Private
+63846,AURORA CHICAGO LAKESHORE HOSPITAL,4840 N MARINE DR,CHICAGO,IL,60640,COOK,(773) 878-9700,Psychiatric,Proprietary
+46519,Fort Belvoir Community Hospital,9300 DeWitt Loop,Fort Belvoir,VA,22060,FAIRFAX,(571) 231-3224,Acute Care - Department of Defense,Department of Defense
+47354,DUNDY COUNTY HOSPITAL,"P O BOX 626, 1313 NORTH CHEYENNE ST",BENKELMAN,NE,69021,DUNDY,(308) 423-2204,Critical Access Hospitals,Government - Local
+31307,CAMDEN GENERAL HOSPITAL,175 HOSPITAL DRIVE,CAMDEN,TN,38320,BENTON,(731) 584-0109,Critical Access Hospitals,Government - Hospital District or Authority
+37087,BAPTIST MEMORIAL HOSPITAL DESOTO,7601 SOUTHCREST PARKWAY,SOUTHAVEN,MS,38671,DE SOTO,(662) 772-4000,Acute Care Hospitals,Voluntary non-profit - Private
+27447,INTEGRIS CANADIAN VALLEY HOSPITAL,1201 HEALTH CENTER PARKWAY,YUKON,OK,73099,CANADIAN,(405) 717-6800,Acute Care Hospitals,Voluntary non-profit - Private
+63946,WEST CARROLL MEMORIAL HOSPITAL,706 ROSS STREET,OAK GROVE,LA,71263,WEST CARROLL,(318) 428-3237,Acute Care Hospitals,Proprietary
+91742,CLAIBORNE MEDICAL CENTER,1850 OLD KNOXVILLE HIGHWAY,TAZEWELL,TN,37879,CLAIBORNE,(423) 626-4211,Acute Care Hospitals,Government - Local
+75027,FLAMBEAU HOSPITAL,98 SHERRY AVE,PARK FALLS,WI,54552,PRICE,(715) 762-7500,Critical Access Hospitals,Voluntary non-profit - Private
+64168,LIGHTHOUSE BEHAVIORAL HEALTH HOSPITAL,152 WACCAMAW MEDICAL PARK DRIVE,CONWAY,SC,29526,HORRY,(843) 347-8871,Psychiatric,Proprietary
+85146,UNIVERSITY HOSPITALS PORTAGE MEDICAL CENTER,6847 N CHESTNUT,RAVENNA,OH,44266,PORTAGE,(330) 297-2300,Acute Care Hospitals,Voluntary non-profit - Private
+36262,HALQUIST MEMORIAL INPATIENT CENTER,4715 NORTH 15 STREET,ARLINGTON,VA,22205,ARLINGTON,(703) 525-7070,Acute Care Hospitals,Voluntary non-profit - Private
+91417,CANCER TREATMENT CENTERS OF AMERICA,1331 EAST WYOMING AVENUE,PHILADELPHIA,PA,19124,PHILADELPHIA,(215) 744-6728,Acute Care Hospitals,Voluntary non-profit - Private
+62788,TEXAS CENTER FOR INFECTIOUS DISEASE,2303 SE MILITARY DR P O BOX 23340,SAN ANTONIO,TX,78223,BEXAR,(210) 534-8857,Acute Care Hospitals,Government - State
+25403,SHRINERS HOSPITALS FOR CHILDREN,4400 CLAYTON AVE,SAINT LOUIS,MO,63110,ST. LOUIS CITY,(314) 432-3600,Childrens,Voluntary non-profit - Private
+51040,ST JOHNS PLEASANT VALLEY HOSPITAL,2309 ANTONIO AVE,CAMARILLO,CA,93010,VENTURA,(805) 389-5800,Acute Care Hospitals,Voluntary non-profit - Church
+37185,CITIZENS MEDICAL CENTER,7939 U S HWY 165 SOUTH,COLUMBIA,LA,71418,CALDWELL,(318) 649-6106,Acute Care Hospitals,Government - Hospital District or Authority
+31701,QUAIL CREEK SURGICAL HOSPITAL,6819 PLUM CREEK,AMARILLO,TX,79124,POTTER,(806) 354-6100,Acute Care Hospitals,Proprietary
+70946,RED BAY HOSPITAL,211 HOSPITAL ROAD,RED BAY,AL,35582,FRANKLIN,(256) 356-9532,Critical Access Hospitals,Government - Hospital District or Authority
+94427,PALM POINT BEHAVIORAL HEALTH,2355 TRUMAN SCARBOROUGH WAY,TITUSVILLE,FL,32796,BREVARD,(407) 928-8105,Psychiatric,Proprietary
+81959,STERLING REGIONAL MEDCENTER,615 FAIRHURST ST,STERLING,CO,80751,LOGAN,(970) 522-0122,Acute Care Hospitals,Voluntary non-profit - Private
+42029,TEXAS HEALTH PRESBYTERIAN HOSPITAL ROCKWALL,3150 HORIZON ROAD,ROCKWALL,TX,75032,ROCKWALL,(469) 698-1000,Acute Care Hospitals,Proprietary
+84211,QUAIL RUN BEHAVIORAL HEALTH,2545 WEST QUAIL AVENUE,PHOENIX,AZ,85027,MARICOPA,(602) 455-5700,Psychiatric,Voluntary non-profit - Other
+43048,MONROE COUNTY HOSPITAL,88 MARTIN LUTHER KING JR DRIVE,FORSYTH,GA,31029,MONROE,(478) 994-2521,Critical Access Hospitals,Government - Hospital District or Authority
+12173,WAKEMED,1900 KILDARE FARM ROAD,CARY,NC,27518,WAKE,(919) 350-2550,Acute Care Hospitals,Voluntary non-profit - Private
+27857,GENESIS MEDICAL CENTER-DAVENPORT,1227 EAST RUSHOLME STREET,DAVENPORT,IA,52803,SCOTT,(563) 421-1000,Acute Care Hospitals,Voluntary non-profit - Private
+55846,KALAMAZOO REGIONAL PSYCHIATRIC HOSPITAL,1312 OAKLAND DR,KALAMAZOO,MI,49008,KALAMAZOO,(269) 337-3309,Psychiatric,Government - State
+57344,DANBURY HOSPITAL,24 HOSPITAL AVE,DANBURY,CT,6810,FAIRFIELD,(203) 739-7000,Acute Care Hospitals,Voluntary non-profit - Private
+71934,CHICOT MEMORIAL MEDICAL CENTER,2729 SOUTH HIGHWAY 65 & 82,LAKE VILLAGE,AR,71653,CHICOT,(870) 265-5351,Critical Access Hospitals,Voluntary non-profit - Private
+12949,TAYLOR REGIONAL HOSPITAL,222 PERRY HWY,HAWKINSVILLE,GA,31036,PULASKI,(478) 783-0200,Acute Care Hospitals,Voluntary non-profit - Private
+15532,MAIN LINE HOSPITAL LANKENAU,100 LANCASTER AVE,WYNNEWOOD,PA,19096,MONTGOMERY,(610) 645-2000,Acute Care Hospitals,Voluntary non-profit - Private
+21758,GEORGETOWN COMMUNITY HOSPITAL,1140 LEXINGTON ROAD,GEORGETOWN,KY,40324,SCOTT,(502) 868-1100,Acute Care Hospitals,Proprietary
+85439,CLAIBORNE MEMORIAL MEDICAL CENTER,620 EAST COLLEGE STREET,HOMER,LA,71040,CLAIBORNE,(318) 927-2024,Acute Care Hospitals,Government - Hospital District or Authority
+91331,BRIDGTON HOSPITAL,10 HOSPITAL DRIVE,BRIDGTON,ME,4009,CUMBERLAND,(207) 647-6000,Critical Access Hospitals,Voluntary non-profit - Private
+48735,NOVANT HEALTH THOMASVILLE MEDICAL CENTER,207 OLD LEXINGTON RD BOX 789,THOMASVILLE,NC,27360,DAVIDSON,(336) 472-2000,Acute Care Hospitals,Voluntary non-profit - Private
+65186,WYANDOT MEMORIAL HOSPITAL,885 NORTH SANDUSKY AVENUE,UPPER SANDUSKY,OH,43351,WYANDOT,(419) 294-4991,Critical Access Hospitals,Government - Hospital District or Authority
+66883,VALLEY COUNTY HEALTH SYSTEM,2707 L STREET,ORD,NE,68862,VALLEY,(308) 728-4200,Critical Access Hospitals,Government - Local
+41307,CARY MEDICAL CENTER,"163 VAN BUREN RD, SUITE 1",CARIBOU,ME,4736,AROOSTOOK,(207) 498-3111,Acute Care Hospitals,Government - Local
+30482,LADD MEMORIAL HOSPITAL,2600 65TH AVENUE,OSCEOLA,WI,54020,POLK,(715) 294-2111,Critical Access Hospitals,Voluntary non-profit - Private
+23070,HOLYOKE MEDICAL CENTER,575 BEECH STREET,HOLYOKE,MA,1040,HAMPDEN,(413) 534-2500,Acute Care Hospitals,Voluntary non-profit - Private
+86353,HOSPITAL METROPOLITANO SAN GERMAN,CALLE JAVILLA  #8 AL COSTADO PARQUE DE BOMBAS,SAN GERMAN,PR,683,SAN GERMAN,(787) 892-5300,Acute Care Hospitals,Proprietary
+38052,"LAHEY HOSPITAL & MEDICAL CENTER, BURLINGTON",41 & 45 MALL ROAD,BURLINGTON,MA,1803,MIDDLESEX,(781) 744-5100,Acute Care Hospitals,Voluntary non-profit - Private
+21858,WELLSTAR NORTH FULTON HOSPITAL,3000 HOSPITAL BOULEVARD,ROSWELL,GA,30076,FULTON,(770) 751-2500,Acute Care Hospitals,Proprietary
+28705,PHOENIX INDIAN MEDICAL CENTER,4212 NORTH 16TH STREET,PHOENIX,AZ,85016,MARICOPA,(602) 263-1200,Acute Care Hospitals,Government - Federal
+52450,CASCADE BEHAVIORAL HOSPITAL,12844 MILITARY ROAD SOUTH,TUKWILA,WA,98168,KING,(206) 244-0180,Psychiatric,Proprietary
+40864,KARMANOS CANCER CENTER,4100 JOHN R,DETROIT,MI,48201,WAYNE,(800) 576-6266,Acute Care Hospitals,Proprietary
+14518,MARY IMMACULATE HOSPITAL,2 BERNARDINE DRIVE,NEWPORT NEWS,VA,23602,NEWPORT NEWS CITY,(757) 886-6000,Acute Care Hospitals,Voluntary non-profit - Private
+22779,GEISINGER JERSEY SHORE HOSPITAL,1020 THOMPSON STREET,JERSEY SHORE,PA,17740,LYCOMING,(570) 398-3101,Critical Access Hospitals,Voluntary non-profit - Private
+87902,HSHS ST ELIZABETH'S HOSPITAL,ONE ST ELIZABETH BOULEVARD,O FALLON,IL,62269,ST. CLAIR,(618) 234-2120,Acute Care Hospitals,Voluntary non-profit - Church
+71391,POINCIANA MEDICAL CENTER,325 CYPRESS PKWY,KISSIMMEE,FL,34758,OSCEOLA,(407) 530-2000,Acute Care Hospitals,Proprietary
+54046,PROMEDICA BIXBY HOSPITAL,818 RIVERSIDE AVENUE,ADRIAN,MI,49221,LENAWEE,(517) 265-0900,Acute Care Hospitals,Voluntary non-profit - Private
+29356,REDWOOD MEMORIAL HOSPITAL,3300 RENNER DRIVE,FORTUNA,CA,95540,HUMBOLDT,(707) 445-8121,Critical Access Hospitals,Voluntary non-profit - Private
+93029,CHI HEALTH  - MERCY CORNING,603 ROSARY DRIVE,CORNING,IA,50841,ADAMS,(641) 322-3121,Critical Access Hospitals,Voluntary non-profit - Private
+57854,OCEANS BEHAVIORAL HOSPITAL OF OPELOUSAS,1310 HEATHER DRIVE,OPELOUSAS,LA,70570,ST. LANDRY,(337) 948-8820,Psychiatric,Proprietary
+73041,PARK CITY HOSPITAL,900 ROUND VALLEY DRIVE,PARK CITY,UT,84060,SUMMIT,(435) 658-6700,Acute Care Hospitals,Proprietary
+90677,GRAND RIVER MEDICAL CENTER,501 AIRPORT RD,RIFLE,CO,81650,GARFIELD,(970) 625-1510,Critical Access Hospitals,Government - Hospital District or Authority
+44616,LONESOME PINE HOSPITAL,1990 HOLTON AVENUE EAST,BIG STONE GAP,VA,24219,WISE,(276) 523-3111,Acute Care Hospitals,Voluntary non-profit - Private
+61883,COLUMBUS REGIONAL HOSPITAL,2400 E 17TH ST,COLUMBUS,IN,47201,BARTHOLOMEW,(812) 379-4441,Acute Care Hospitals,Government - Local
+31915,ELLINWOOD DISTRICT HOSPITAL,605 N MAIN STREET,ELLINWOOD,KS,67526,BARTON,(620) 564-2548,Critical Access Hospitals,Government - Hospital District or Authority
+71632,SPECTRUM HEALTH - BUTTERWORTH CAMPUS,100 MICHIGAN ST NE,GRAND RAPIDS,MI,49503,KENT,(616) 391-1774,Acute Care Hospitals,Voluntary non-profit - Private
+36421,LINCOLN HOSPITAL,10 NICHOLS STREET,DAVENPORT,WA,99122,LINCOLN,(509) 725-7101,Critical Access Hospitals,Government - Hospital District or Authority
+87108,MUNICIPAL HOSPITAL AND GRANITE MANOR,345 TENTH AVENUE,GRANITE FALLS,MN,56241,YELLOW MEDCINE,(320) 564-3111,Critical Access Hospitals,Government - Local
+74852,UNIVERSITY OF UTAH HOSPITALS AND CLINICS,50 NORTH MEDICAL DRIVE,SALT LAKE CITY,UT,84132,SALT LAKE,(801) 581-2121,Acute Care Hospitals,Government - State
+37149,BARNES JEWISH HOSPITAL,ONE BARNES-JEWISH HOSPITAL PLAZA,SAINT LOUIS,MO,63110,ST. LOUIS CITY,(314) 747-3000,Acute Care Hospitals,Voluntary non-profit - Other
+56160,HIGHLAND HOSPITAL,1411 EAST 31ST STREET,OAKLAND,CA,94602,ALAMEDA,(510) 437-4800,Acute Care Hospitals,Government - Hospital District or Authority
+48215,MAD RIVER COMMUNITY HOSPITAL,3800 JANES RD,ARCATA,CA,95521,HUMBOLDT,(707) 822-3621,Acute Care Hospitals,Proprietary
+55797,"MERCY HOSPITAL OKLAHOMA CITY, INC",4300 WEST MEMORIAL ROAD,OKLAHOMA CITY,OK,73120,OKLAHOMA,(405) 752-3754,Acute Care Hospitals,Voluntary non-profit - Church
+85346,HAYS MEDICAL CENTER,2220 CANTERBURY DRIVE,HAYS,KS,67601,ELLIS,(785) 623-5000,Acute Care Hospitals,Voluntary non-profit - Other
+51155,CGH MEDICAL CENTER,100 EAST LEFEVRE ROAD,STERLING,IL,61081,WHITESIDE,(815) 625-0400,Acute Care Hospitals,Government - Local
+93082,JEFFERSON HOSPITAL,565 COAL VALLEY ROAD,JEFFERSON HILLS,PA,15025,ALLEGHENY,(412) 469-5000,Acute Care Hospitals,Voluntary non-profit - Private
+51979,COMMUNITY MENTAL HEALTH CENTER INC,285 BIELBY RD,LAWRENCEBURG,IN,47025,DEARBORN,(812) 537-1302,Psychiatric,Voluntary non-profit - Private
+88602,THE BROOK HOSPITAL - KMI,8521 LAGRANGE ROAD,LOUISVILLE,KY,40242,JEFFERSON,(502) 426-6380,Psychiatric,Government - Federal
+23684,"HOSPITAL UPR, DR  FEDERICO TRILLA",CARR 3 KM 8  3 AVE 65TH INFANTERIA       BOX 6021,CAROLINA,PR,984,CAROLINA,(787) 757-1800,Acute Care Hospitals,Proprietary
+60207,SSM HEALTH ST CLARE HOSPITAL - BARABOO,707 14TH ST,BARABOO,WI,53913,SAUK,(608) 356-1400,Acute Care Hospitals,Voluntary non-profit - Private
+21728,BAPTIST ST ANTHONY'S HOSPITAL,1600 WALLACE BLVD,AMARILLO,TX,79106,POTTER,(806) 212-2000,Acute Care Hospitals,Proprietary
+30311,UNIVERSITY OF TEXAS MEDICAL BRANCH,301 UNIVERSITY BOULEVARD,GALVESTON,TX,77555,GALVESTON,(409) 772-1011,Acute Care Hospitals,Government - State
+78350,CHI ST LUKES HEALTH MEMORIAL SAN AUGUSTINE,511 HOSPITAL ST,SAN AUGUSTINE,TX,75972,SAN AUGUSTINE,(936) 275-3446,Critical Access Hospitals,Voluntary non-profit - Private
+67308,MUNISING MEMORIAL HOSPITAL,1500 SAND POINT RD,MUNISING,MI,49862,ALGER,(906) 387-4110,Critical Access Hospitals,Voluntary non-profit - Private
+53512,UT HEALTH EAST TEXAS QUITMAN HOSPITAL,117 WINNSBORO STREET,QUITMAN,TX,75783,WOOD,(903) 763-4500,Critical Access Hospitals,Voluntary non-profit - Private
+88256,BAY AREA HOSPITAL,1775 THOMPSON ROAD,COOS BAY,OR,97420,COOS,(541) 269-8124,Acute Care Hospitals,Government - Hospital District or Authority
+74912,ELECTRA MEMORIAL HOSPITAL,1207 S BAILEY STREET,ELECTRA,TX,76360,WICHITA,(940) 495-3981,Critical Access Hospitals,Government - Hospital District or Authority
+46148,DECATUR COUNTY HOSPITAL,1405 NW CHURCH STREET,LEON,IA,50144,DECATUR,(641) 446-4871,Critical Access Hospitals,Government - Local
+51013,CIMARRON MEMORIAL HOSPITAL,100 SOUTH ELLIS,BOISE CITY,OK,73933,CIMARRON,(580) 544-2501,Critical Access Hospitals,Government - Hospital District or Authority
+62776,SOUTHERN OHIO MEDICAL CENTER,1805 27TH STREET,PORTSMOUTH,OH,45662,SCIOTO,(740) 356-5000,Acute Care Hospitals,Voluntary non-profit - Other
+92408,FREDERICK HEALTH HOSPITAL,400 WEST SEVENTH ST,FREDERICK,MD,21701,FREDERICK,(240) 566-3300,Acute Care Hospitals,Voluntary non-profit - Private
+45864,MEMPHIS MENTAL HEALTH INSTITUTE,951 COURT AVENUE,MEMPHIS,TN,38103,SHELBY,(901) 577-1800,Psychiatric,Government - Local
+77582,DEER RIVER HEALTHCARE CENTER,115 10TH AVENUE NORTHEAST,DEER RIVER,MN,56636,ITASCA,(218) 246-2900,Critical Access Hospitals,Voluntary non-profit - Private
+44319,NORWOOD HOSPITAL,800 WASHINGTON STREET,NORWOOD,MA,2062,NORFOLK,(781) 769-4000,Acute Care Hospitals,Proprietary
+13743,KINGSBROOK JEWISH MEDICAL CENTER,585 SCHENECTADY AVENUE,BROOKLYN,NY,11203,KINGS,(718) 604-5789,Acute Care Hospitals,Voluntary non-profit - Private
+81678,HELEN HAYES HOSPITAL,51 NORTH ROUTE 9W,WEST HAVERSTRAW,NY,10993,ROCKLAND,(845) 786-4000,Acute Care Hospitals,Government - Local
+31486,TRISTAR STONECREST MEDICAL CENTER,200 STONECREST BOULEVARD,SMYRNA,TN,37167,RUTHERFORD,(615) 768-2000,Acute Care Hospitals,Proprietary
+86402,STANFORD HEALTH CARE - VALLEYCARE,5555 WEST LAS POSITAS BOULEVARD,PLEASANTON,CA,94588,ALAMEDA,(925) 447-7000,Acute Care Hospitals,Voluntary non-profit - Private
+12784,DOYLESTOWN HOSPITAL,595 WEST STATE ST,DOYLESTOWN,PA,18901,BUCKS,(215) 345-2200,Acute Care Hospitals,Voluntary non-profit - Private
+17315,LEHIGH VALLEY HOSPITAL-SCHUYLKILL S. JACKSON STREE,420 SOUTH JACKSON STREET,POTTSVILLE,PA,17901,SCHUYLKILL,(570) 621-5102,Acute Care Hospitals,Voluntary non-profit - Private
+80413,ST ELIZABETHS HOSPITAL,"1100 ALABAMA AVENUE, SE",WASHINGTON,DC,20032,THE DISTRICT,(202) 299-5500,Psychiatric,Government - State
+33380,GARDEN GROVE HOSPITAL & MEDICAL CENTER,12601 GARDEN GROVE BLVD,GARDEN GROVE,CA,92843,ORANGE,(714) 537-5160,Acute Care Hospitals,Proprietary
+86015,OREM COMMUNITY HOSPITAL,331 NORTH 400 WEST,OREM,UT,84057,UTAH,(801) 714-3300,Acute Care Hospitals,Voluntary non-profit - Private
+71299,CLAY COUNTY HOSPITAL,83825 HIGHWAY 9    P O BOX 1270,ASHLAND,AL,36251,CLAY,(256) 354-2131,Acute Care Hospitals,Government - Hospital District or Authority
+29388,DELRAY MEDICAL CENTER,5352 LINTON BLVD,DELRAY BEACH,FL,33484,PALM BEACH,(561) 498-4440,Acute Care Hospitals,Proprietary
+66179,SOUTH LYON MEDICAL CENTER,213 S WHITACRE/PO BOX 940,YERINGTON,NV,89447,LYON,(775) 781-3761,Critical Access Hospitals,Government - Hospital District or Authority
+36925,SAMARITAN NORTH LINCOLN HOSPITAL,3043 NE 28TH STREET,LINCOLN CITY,OR,97367,LINCOLN,(541) 994-3661,Critical Access Hospitals,Voluntary non-profit - Private
+36317,SOUTHEASTHEALTH CENTER OF STODDARD COUNTY,1200 N ONE MILE RD,DEXTER,MO,63841,STODDARD,(573) 624-5566,Acute Care Hospitals,Voluntary non-profit - Private
+72254,REGIONAL HEALTH LEAD-DEADWOOD HOSPITAL,61 CHARLES STREET,DEADWOOD,SD,57732,LAWRENCE,(605) 717-6000,Critical Access Hospitals,Voluntary non-profit - Private
+90013,ORANGE PARK MEDICAL CENTER,2001 KINGSLEY AVE,ORANGE PARK,FL,32073,CLAY,(904) 276-8500,Acute Care Hospitals,Voluntary non-profit - Other
+74366,DODGE COUNTY HOSPITAL,901 GRIFFIN AVE,EASTMAN,GA,31023,DODGE,(478) 448-4067,Acute Care Hospitals,Government - Hospital District or Authority
+61183,MULTICARE COVINGTON MEDICAL CENTER,17700 SE 272ND ST,COVINGTON,WA,98042,KING,(253) 372-7400,Acute Care Hospitals,Voluntary non-profit - Private
+23603,ALLIANCEHEALTH MIDWEST,2825 PARKLAWN DRIVE,MIDWEST CITY,OK,73110,OKLAHOMA,(405) 610-8585,Acute Care Hospitals,Proprietary
+27972,ARIZONA SPECIALTY HOSPITAL,"2905 WEST WARNER ROAD, SUITE 1",CHANDLER,AZ,85224,MARICOPA,(480) 603-9000,Acute Care Hospitals,Proprietary
+40456,UF HEALTH JACKSONVILLE,655 W 8TH ST,JACKSONVILLE,FL,32209,DUVAL,(904) 244-0411,Acute Care Hospitals,Voluntary non-profit - Private
+62005,"BAPTIST MEMORIAL HOSPITAL-CRITTENDEN, INC",2100 NORTH SEVENTH STREET,WEST MEMPHIS,AR,72301,CRITTENDEN,(870) 394-7800,Acute Care Hospitals,Voluntary non-profit - Private
+45333,ST MARK'S HOSPITAL,1200 EAST 3900 SOUTH,SALT LAKE CITY,UT,84124,SALT LAKE,(801) 268-7700,Acute Care Hospitals,Proprietary
+38733,BAPTIST MEMORIAL HOSPITAL BOONEVILLE,100 HOSPITAL DRIVE,BOONEVILLE,MS,38829,PRENTISS,(662) 720-5000,Acute Care Hospitals,Voluntary non-profit - Church
+25792,SOUTH LINCOLN MEDICAL CENTER - CAH,711 ONYX STREET,KEMMERER,WY,83101,LINCOLN,(307) 877-4401,Critical Access Hospitals,Government - Hospital District or Authority
+54979,HAVASU REGIONAL MEDICAL CENTER,101 CIVIC CENTER LANE,LAKE HAVASU CITY,AZ,86403,MOHAVE,(928) 855-8185,Acute Care Hospitals,Proprietary
+36136,MOUNTAIN VIEW HOSPITAL,2325 CORONADO STREET,IDAHO FALLS,ID,83404,BONNEVILLE,(208) 557-2700,Acute Care Hospitals,Physician
+14784,MARY RUTAN HOSPITAL,205 PALMER AVENUE,BELLEFONTAINE,OH,43311,LOGAN,(937) 599-7002,Acute Care Hospitals,Voluntary non-profit - Private
+30602,MELROSEWAKEFIELD HEALTHCARE,585 LEBANON STREET,MELROSE,MA,2176,MIDDLESEX,(781) 979-3000,Acute Care Hospitals,Voluntary non-profit - Private
+65884,BIBB MEDICAL CENTER,208 PIERSON AVE,CENTREVILLE,AL,35042,BIBB,(205) 926-4881,Acute Care Hospitals,Government - Hospital District or Authority
+27018,CORNERSTONE REGIONAL HOSPITAL,2302 CORNERSTONE BOULEVARD,EDINBURG,TX,78539,HIDALGO,(956) 618-4444,Acute Care Hospitals,Proprietary
+63028,GEISINGER-COMMUNITY MEDICAL CENTER,1822 MULBERRY STREET,SCRANTON,PA,18510,LACKAWANNA,(570) 969-8240,Acute Care Hospitals,Voluntary non-profit - Private
+32749,INDIANA UNIVERSITY HEALTH PAOLI HOSPITAL,642 W HOSPITAL RD,PAOLI,IN,47454,ORANGE,(812) 723-2811,Critical Access Hospitals,Voluntary non-profit - Private
+37589,ST ANTHONY HOSPITAL,2801 ST ANTHONY WAY,PENDLETON,OR,97801,UMATILLA,(541) 276-5121,Critical Access Hospitals,Voluntary non-profit - Church
+36006,PINCKNEYVILLE COMMUNITY HOSPITAL,5383 STATE ROUTE 154,PINCKNEYVILLE,IL,62274,PERRY,(618) 357-2187,Critical Access Hospitals,Government - Hospital District or Authority
+32294,CITIZENS BAPTIST MEDICAL CENTER,604 STONE AVENUE,TALLADEGA,AL,35161,TALLADEGA,(256) 761-4542,Acute Care Hospitals,Voluntary non-profit - Private
+37961,MILWAUKEE COUNTY BEHAVIORAL HEALTH DIVISION,9455 W WATERTOWN PLANK RD,MILWAUKEE,WI,53226,MILWAUKEE,(414) 257-5202,Psychiatric,Government - Local
+47250,IOWA METHODIST MEDICAL CENTER,1200 PLEASANT STREET,DES MOINES,IA,50309,POLK,(515) 241-6212,Acute Care Hospitals,Voluntary non-profit - Private
+29720,ST LUKE'S MINERS MEMORIAL HOSPITAL,360 W RUDDLE STREET,COALDALE,PA,18218,SCHUYLKILL,(570) 645-2131,Acute Care Hospitals,Voluntary non-profit - Private
+41700,BEEBE MEDICAL CENTER,424 SAVANNAH RD,LEWES,DE,19958,SUSSEX,(302) 645-3300,Acute Care Hospitals,Voluntary non-profit - Private
+92065,PHELPS MEMORIAL HOSPITAL ASSN,701 NORTH BROADWAY,SLEEPY HOLLOW,NY,10591,WESTCHESTER,(914) 366-3000,Acute Care Hospitals,Voluntary non-profit - Other
+17129,DRISCOLL CHILDRENS HOSPITAL,3533 S ALAMEDA BOX 6530,CORPUS CHRISTI,TX,78411,NUECES,(361) 739-4846,Childrens,Voluntary non-profit - Private
+46781,AVERA TYLER HOSPITAL,240 WILLOW STREET,TYLER,MN,56178,LINCOLN,(507) 247-5521,Critical Access Hospitals,Voluntary non-profit - Private
+60360,UNM HOSPITAL,2211 LOMAS BOULEVARD NE,ALBUQUERQUE,NM,87106,BERNALILLO,(505) 272-2111,Acute Care Hospitals,Voluntary non-profit - Other
+89841,WAKEMED,3000 NEW BERN AVE,RALEIGH,NC,27610,WAKE,(919) 350-8000,Acute Care Hospitals,Voluntary non-profit - Private
+28330,HARSHA BEHAVIORAL CENTER INC,1980 E WOODSMALL DR,TERRE HAUTE,IN,47802,VIGO,(812) 298-8888,Psychiatric,Voluntary non-profit - Other
+13546,LEGACY GOOD SAMARITAN MEDICAL CENTER,"1015 NW 22ND AVENUE, W121",PORTLAND,OR,97210,MULTNOMAH,(503) 413-7711,Acute Care Hospitals,Voluntary non-profit - Private
+60180,ALTRU HOSPITAL,1200 S COLUMBIA RD,GRAND FORKS,ND,58201,GRAND FORKS,(701) 780-5000,Acute Care Hospitals,Government - Local
+76302,ANDERSON HOSPITAL,6800 STATE ROUTE 162,MARYVILLE,IL,62062,MADISON,(618) 288-5711,Acute Care Hospitals,Voluntary non-profit - Private
+70523,MARION GENERAL HOSPITAL,1560 SUMRALL RD,COLUMBIA,MS,39429,MARION,(601) 736-6303,Acute Care Hospitals,Voluntary non-profit - Other
+39275,NORTHEASTERN NEVADA REGIONAL HOSPITAL,2001 ERRECART BLVD,ELKO,NV,89801,ELKO,(775) 738-5151,Acute Care Hospitals,Proprietary
+63309,WETZEL COUNTY HOSPITAL,#3 EAST BENJAMIN DRIVE,NEW MARTINSVILLE,WV,26155,WETZEL,(304) 455-8000,Acute Care Hospitals,Government - Local
+10170,HOAG MEMORIAL HOSPITAL PRESBYTERIAN,ONE HOAG DRIVE,NEWPORT BEACH,CA,92663,ORANGE,(949) 764-4624,Acute Care Hospitals,Voluntary non-profit - Private
+75460,BAYLOR SCOTT & WHITE MEDICAL CENTER  GRAPEVINE,1650 W COLLEGE ST,GRAPEVINE,TX,76051,TARRANT,(817) 481-1588,Acute Care Hospitals,Voluntary non-profit - Private
+31720,BRATTLEBORO MEMORIAL HOSPITAL,17 BELMONT AVE,BRATTLEBORO,VT,5301,WINDHAM,(802) 257-0341,Acute Care Hospitals,Voluntary non-profit - Private
+83936,FIRELANDS REGIONAL MEDICAL CENTER,1111 HAYES AVENUE,SANDUSKY,OH,44870,ERIE,(419) 557-7400,Acute Care Hospitals,Voluntary non-profit - Private
+34680,SPRING VIEW HOSPITAL,320 LORETTO ROAD,LEBANON,KY,40033,MARION,(270) 692-5145,Acute Care Hospitals,Proprietary
+77333,PRAIRIE COMMUNITY HOSPITAL,312 S ADAMS,TERRY,MT,59349,PRAIRIE,(406) 635-5511,Critical Access Hospitals,Government - Hospital District or Authority
+79338,BELTON REGIONAL MEDICAL CENTER,17065 S 71 HIGHWAY,BELTON,MO,64012,CASS,(816) 348-1236,Acute Care Hospitals,Voluntary non-profit - Private
+63437,WOODLAND SPRINGS,15860 OLD CONROE ROAD,CONROE,TX,77384,MONTGOMERY,(936) 270-7520,Psychiatric,Proprietary
+44126,MANATEE MEMORIAL HOSPITAL,206 2ND ST E,BRADENTON,FL,34208,MANATEE,(941) 746-5111,Acute Care Hospitals,Proprietary
+70083,HUHU KAM MEMORIAL HOSPITAL,483 WEST SEED FARM ROAD,SACATON,AZ,85147,PINAL,(520) 562-3321,Critical Access Hospitals,Government - Federal
+31845,ALLEN PARISH HOSPITAL,108 6TH AVENUE,KINDER,LA,70648,ALLEN,(337) 738-2527,Acute Care Hospitals,Government - Hospital District or Authority
+53819,OSF SACRED HEART MEDICAL CENTER,812 N LOGAN AVE,DANVILLE,IL,61832,VERMILION,(217) 443-5000,Acute Care Hospitals,Voluntary non-profit - Church
+67211,UNIVERSITY OF VERMONT MEDICAL CENTER,111 COLCHESTER AVE,BURLINGTON,VT,5401,CHITTENDEN,(802) 847-0000,Acute Care Hospitals,Voluntary non-profit - Other
+73803,TOURO INFIRMARY,1401 FOUCHER STREET,NEW ORLEANS,LA,70115,ORLEANS,(504) 897-8247,Acute Care Hospitals,Voluntary non-profit - Private
+61443,"MERCY HOSPITAL KINGFISHER, INC",1000 KINGFISHER HOSPITAL DRIVE,KINGFISHER,OK,73750,KINGFISHER,(405) 375-3141,Critical Access Hospitals,Voluntary non-profit - Church
+72585,HENRY FORD KINGSWOOD HOSPITAL,10300 W EIGHT MILE ROAD,FERNDALE,MI,48220,OAKLAND,(248) 691-4868,Psychiatric,Voluntary non-profit - Private
+50856,FRANCISCAN HEALTH INDIANAPOLIS,8111 S EMERSON AVE,INDIANAPOLIS,IN,46237,MARION,(317) 528-5000,Acute Care Hospitals,Voluntary non-profit - Church
+50590,DIGNITY HEALTH ARIZONA GENERAL HOSPITAL,9130 EAST ELLIOT ROAD,MESA,AZ,85212,MARICOPA,(480) 410-4500,Acute Care Hospitals,Voluntary non-profit - Private
+49178,SAGAMORE CHILDREN'S PSYCHIATRIC CENTER,197 HALF  HOLLOW ROAD,DIX HILLS,NY,11746,SUFFOLK,(631) 370-1701,Psychiatric,Government - State
+22751,STRINGFELLOW MEMORIAL HOSPITAL,301 EAST 18TH ST,ANNISTON,AL,36201,CALHOUN,(256) 235-8900,Acute Care Hospitals,Proprietary
+93980,SOUTHWEST GEORGIA REGIONAL MEDICAL CENTER,361 RANDOLPH STREET,CUTHBERT,GA,39840,RANDOLPH,(229) 732-2181,Critical Access Hospitals,Government - Hospital District or Authority
+87250,BUCHANAN COUNTY HEALTH CENTER,1600 FIRST ST EAST,INDEPENDENCE,IA,50644,BUCHANAN,(319) 332-0999,Critical Access Hospitals,Voluntary non-profit - Other
+20836,MARSHALL MEDICAL CENTER,1100 MARSHALL WAY,PLACERVILLE,CA,95667,EL DORADO,(530) 622-1441,Acute Care Hospitals,Voluntary non-profit - Private
+46854,SIERRA VISTA HOSPITAL,800 EAST 9TH AVENUE,T OR C,NM,87901,SIERRA,(575) 894-2111,Critical Access Hospitals,Government - Local
+14336,BENEWAH COMMUNITY HOSPITAL,229 SOUTH 7TH STREET,ST MARIES,ID,83861,BENEWAH,(208) 245-5551,Critical Access Hospitals,Government - Local
+51495,"MILFORD HOSPITAL, INC",300 SEASIDE AVENUE,MILFORD,CT,6460,NEW HAVEN,(203) 876-4000,Acute Care Hospitals,Voluntary non-profit - Private
+31592,ST MARTIN HOSPITAL,210 CHAMPAGNE BOULEVARD,BREAUX BRIDGE,LA,70517,ST. MARTIN,(337) 332-2178,Critical Access Hospitals,Voluntary non-profit - Private
+59188,WINTER HAVEN HOSPITAL,200 AVE F NE,WINTER HAVEN,FL,33881,POLK,(863) 293-1121,Acute Care Hospitals,Voluntary non-profit - Private
+84022,HUNT REGIONAL MEDICAL CENTER,4215 JOE RAMSEY BLVD,GREENVILLE,TX,75401,HUNT,(903) 408-5000,Acute Care Hospitals,Government - Hospital District or Authority
+52428,MENORAH MEDICAL CENTER,5721 WEST 119TH STREET,OVERLAND PARK,KS,66209,JOHNSON,(913) 498-6773,Acute Care Hospitals,Voluntary non-profit - Other
+80390,MUENSTER MEMORIAL HOSPITAL,605 N MAPLE STREET,MUENSTER,TX,76252,COOKE,(940) 759-2271,Critical Access Hospitals,Government - Hospital District or Authority
+26711,HOWARD MEMORIAL HOSPITAL,130 MEDICAL CIRCLE,NASHVILLE,AR,71852,HOWARD,(870) 845-4400,Critical Access Hospitals,Voluntary non-profit - Private
+77039,SAINT FRANCIS BARTLETT MEDICAL CENTER,2986 KATE BOND RD,BARTLETT,TN,38133,SHELBY,(901) 820-7050,Acute Care Hospitals,Proprietary
+57502,SANFORD MEDICAL CENTER HILLSBORO,12 THIRD STREET SE,HILLSBORO,ND,58045,TRAILL,(701) 636-3200,Critical Access Hospitals,Voluntary non-profit - Private
+69189,KNOX COUNTY HOSPITAL,701 SOUTHEAST  5TH STREET,KNOX CITY,TX,79529,KNOX,(940) 657-3535,Acute Care Hospitals,Government - Hospital District or Authority
+22297,SENTARA LEIGH HOSPITAL,830 KEMPSVILLE ROAD,NORFOLK,VA,23502,NORFOLK CITY,(757) 261-6700,Acute Care Hospitals,Voluntary non-profit - Other
+30634,EAST ADAMS RURAL HOSPITAL,903 SOUTH ADAMS,RITZVILLE,WA,99169,ADAMS,(509) 659-1200,Critical Access Hospitals,Government - Hospital District or Authority
+39297,FREEMAN NEOSHO HOSPITAL,113 WEST HICKORY STREET,NEOSHO,MO,64850,NEWTON,(417) 451-1234,Critical Access Hospitals,Voluntary non-profit - Private
+85115,LARKIN COMMUNITY HOSPITAL PALM SPRINGS CAMPUS,1475 W 49TH ST,HIALEAH,FL,33012,MIAMI-DADE,(305) 558-2500,Acute Care Hospitals,Voluntary non-profit - Private
+57500,BECKETT SPRINGS,8614 SHEPHERD FARM DRIVE,WEST CHESTER,OH,45069,BUTLER,(513) 942-9500,Psychiatric,Proprietary
+65816,GOOD SAMARITAN HOSPITAL,520 S 7TH ST,VINCENNES,IN,47591,KNOX,(812) 882-5220,Acute Care Hospitals,Voluntary non-profit - Other
+64052,KELL WEST REGIONAL HOSPITAL,5402 KELL WEST BOULEVARD,WICHITA FALLS,TX,76310,WICHITA,(940) 692-5888,Acute Care Hospitals,Proprietary
+39817,WYOMING MEDICAL CENTER,1233 EAST 2ND ST,CASPER,WY,82601,NATRONA,(307) 577-7201,Acute Care Hospitals,Government - Local
+85404,MARSHALL MEDICAL CENTER,1080 NORTH ELLINGTON PARKWAY,LEWISBURG,TN,37091,MARSHALL,(931) 359-6276,Critical Access Hospitals,Government - Hospital District or Authority
+24300,ST JOSEPH'S HOSPITAL HEALTH CENTER,301 PROSPECT AVENUE,SYRACUSE,NY,13203,ONONDAGA,(315) 448-5111,Acute Care Hospitals,Voluntary non-profit - Private
+19637,ADVENTIST HEALTH AND RIDEOUT,726 4TH ST,MARYSVILLE,CA,95901,YUBA,(530) 749-4300,Acute Care Hospitals,Government - Federal
+50496,METHODIST HOSPITAL SOUTH,1905 HWY 97 EAST,JOURDANTON,TX,78026,ATASCOSA,(830) 769-3515,Acute Care Hospitals,Proprietary
+56783,EASTERN PLUMAS HOSPITAL - PORTOLA CAMPUS,500 FIRST AVENUE,PORTOLA,CA,96122,PLUMAS,(530) 832-4277,Critical Access Hospitals,Government - Hospital District or Authority
+31130,INSPIRA MEDICAL CENTER ELMER,501 WEST FRONT STREET,ELMER,NJ,8318,SALEM,(856) 363-1000,Acute Care Hospitals,Voluntary non-profit - Private
+35437,WEISBROD MEMORIAL COUNTY HOSPITAL,1208 LUTHER STREET,EADS,CO,81036,KIOWA,(719) 438-5401,Critical Access Hospitals,Government - Local
+65028,MOUNTRAIL COUNTY MEDICAL CENTER INC,615 6TH ST SE,STANLEY,ND,58784,MOUNTRAIL,(701) 628-2424,Critical Access Hospitals,Voluntary non-profit - Private
+10496,SNOQUALMIE VALLEY HOSPITAL,9801 FRONTIER AVE SE,SNOQUALMIE,WA,98065,KING,(425) 831-2300,Critical Access Hospitals,Government - Hospital District or Authority
+20342,HUNTINGTON HOSPITAL,270 PARK AVENUE,HUNTINGTON,NY,11743,SUFFOLK,(631) 351-2000,Acute Care Hospitals,Voluntary non-profit - Private
+32152,WHITTIER HOSPITAL MEDICAL CENTER,9080 COLIMA RD,WHITTIER,CA,90605,LOS ANGELES,(562) 945-3561,Acute Care Hospitals,Proprietary
+53800,"CARTHAGE AREA HOSPITAL, INC",1001 WEST STREET,CARTHAGE,NY,13619,JEFFERSON,(315) 493-1000,Critical Access Hospitals,Voluntary non-profit - Private
+50720,INDIANA REGIONAL MEDICAL CENTER,835 HOSPITAL ROAD,INDIANA,PA,15701,INDIANA,(724) 357-7000,Acute Care Hospitals,Voluntary non-profit - Private
+49301,JIM TALIAFERRO COMM MENTAL HEALTH CTR,602 SOUTHWEST 38TH STREET,LAWTON,OK,73505,COMANCHE,(580) 248-5780,Psychiatric,Government - State
+60248,CENTRAL DESERT BEHAVIORAL HEALTH CENTER,1525 N RENAISSANCE BLVD NE,ALBUQUERQUE,NM,87107,BERNALILLO,(505) 243-3387,Psychiatric,Proprietary
+75022,PERRY COUNTY GENERAL HOSP,206 BAY ST,RICHTON,MS,39476,GREENE,(601) 788-6316,Critical Access Hospitals,Proprietary
+86142,ANDROSCOGGIN VALLEY HOSPITAL,59 PAGE HILL ROAD,BERLIN,NH,3570,COOS,(603) 752-2200,Critical Access Hospitals,Voluntary non-profit - Private
+83389,MILLS-PENINSULA MEDICAL CENTER,1501 TROUSDALE DRIVE,BURLINGAME,CA,94010,SAN MATEO,(650) 696-5270,Acute Care Hospitals,Voluntary non-profit - Private
+20598,SPARTA COMMUNITY HOSPITAL,818 E BROADWAY,SPARTA,IL,62286,RANDOLPH,(618) 443-2177,Critical Access Hospitals,Government - Hospital District or Authority
+33730,"FREEDOM BEHAVIORAL HOSPITAL OF TOPEKA, LLC",1334 SW BUCHANAN STREET,TOPEKA,KS,66604,SHAWNEE,(785) 235-1294,Psychiatric,Proprietary
+18817,CHANGEPOINT PSYCHIATRIC HOSPITAL,1920 WEST COMMERCE DRIVE,LAKESIDE,AZ,85929,NAVAJO,(928) 368-4110,Psychiatric,Voluntary non-profit - Private
+35476,LANDMARK MEDICAL CENTER,115 CASS AVENUE,WOONSOCKET,RI,2895,PROVIDENCE,(401) 769-4100,Acute Care Hospitals,Voluntary non-profit - Private
+38600,MACON COUNTY SAMARITAN MEMORIAL HOSPITAL,1205 NORTH MISSOURI ST,MACON,MO,63552,MACON,(660) 385-8700,Critical Access Hospitals,Government - Local
+75794,KALISPELL REGIONAL MEDICAL CENTER,310 SUNNYVIEW LANE,KALISPELL,MT,59901,FLATHEAD,(406) 752-5111,Acute Care Hospitals,Voluntary non-profit - Private
+29762,CALIFORNIA PACIFIC MEDICAL CENTER - MISSION BERNAL,3555 CESAR CHAVEZ STREET,SAN FRANCISCO,CA,94110,SAN FRANCISCO,(415) 641-6562,Acute Care Hospitals,Voluntary non-profit - Church
+92495,PROVIDENCE VALDEZ MEDICAL CENTER,PO BOX 550,VALDEZ,AK,99686,VALDEZ-CORDOVA,(907) 835-2249,Critical Access Hospitals,Government - Local
+15212,ARIA HEALTH,10800 KNIGHTS ROAD,PHILADELPHIA,PA,19114,PHILADELPHIA,(215) 612-4129,Acute Care Hospitals,Voluntary non-profit - Private
+21320,ROTHMAN ORTHOPAEDIC SPECIALTY HOSPITAL LLC,3300 TILLMAN DRIVE,BENSALEM,PA,19020,BUCKS,(215) 244-7400,Acute Care Hospitals,Proprietary
+68350,LAKE CITY COMMUNITY HOSPITAL,258 N RON MCNAIR BLVD,LAKE CITY,SC,29560,FLORENCE,(843) 374-2036,Acute Care Hospitals,Voluntary non-profit - Private
+23663,DREW MEMORIAL HOSPITAL,778 SCOGIN DRIVE,MONTICELLO,AR,71655,DREW,(870) 367-2411,Acute Care Hospitals,Voluntary non-profit - Private
+41063,MAGNOLIA HOSPITAL,101 HOSPITAL DRIVE,MAGNOLIA,AR,71754,COLUMBIA,(870) 235-3000,Acute Care Hospitals,Government - Local
+76294,CRENSHAW COMMUNITY HOSPITAL,101 HOSPITAL CIRCLE,LUVERNE,AL,36049,CRENSHAW,(334) 335-3374,Acute Care Hospitals,Proprietary
+72594,"BRIDGEWAY INC, THE",21 BRIDGEWAY ROAD,NORTH LITTLE ROCK,AR,72113,PULASKI,(501) 771-1500,Psychiatric,Proprietary
+30925,GREENEVILLE COMMUNITY HOSPITAL,1420 TUSCULUM BOULEVARD,GREENEVILLE,TN,37745,GREENE,(423) 639-3151,Acute Care Hospitals,Voluntary non-profit - Private
+51590,ELLWOOD CITY MEDICAL CENTER,724 PERSHING STREET,ELLWOOD CITY,PA,16117,LAWRENCE,(724) 752-0081,Acute Care Hospitals,Proprietary
+14846,"SHEPPARD AND ENOCH PRATT HOSPITAL, THE",6501 NORTH  CHARLES STREET,BALTIMORE,MD,21204,BALTIMORE,(410) 938-3401,Psychiatric,Voluntary non-profit - Private
+71261,ST. MARY'S HOSPITAL,1601 WEST ST MARY'S ROAD,TUCSON,AZ,85745,PIMA,(520) 872-3000,Acute Care Hospitals,Voluntary non-profit - Private
+77270,LOWER KEYS MEDICAL CENTER,5900 COLLEGE ROAD,KEY WEST,FL,33040,MONROE,(305) 294-5531,Acute Care Hospitals,Proprietary
+88720,NORWALK HOSPITAL,24 STEVENS STREET,NORWALK,CT,6856,FAIRFIELD,(203) 852-2000,Acute Care Hospitals,Voluntary non-profit - Private
+50989,EL CAMPO MEMORIAL HOSPITAL,303 SANDY CORNER RD,EL CAMPO,TX,77437,WHARTON,(979) 578-5251,Acute Care Hospitals,Voluntary non-profit - Private
+85297,WESTPARK SPRINGS LLC,6902 S PEEK ROAD,RICHMOND,TX,77407,FORT BEND,(832) 535-2770,Psychiatric,Voluntary non-profit - Other
+45193,IBERIA MEDICAL CENTER,2315 E MAIN STREET,NEW IBERIA,LA,70562,IBERIA,(337) 364-0441,Acute Care Hospitals,Government - Hospital District or Authority
+51980,CHANDLER REGIONAL MEDICAL CENTER,1955 WEST FRYE ROAD,CHANDLER,AZ,85224,MARICOPA,(480) 728-3000,Acute Care Hospitals,Voluntary non-profit - Other
+35650,TITUSVILLE HOSPITAL,406 WEST OAK STREET,TITUSVILLE,PA,16354,CRAWFORD,(814) 827-1851,Critical Access Hospitals,Voluntary non-profit - Private
+28247,TEXAS HEALTH PRESBYTERIAN HOSPITAL FLOWER MOUND,4400 LONG PRAIRIE ROAD,FLOWER MOUND,TX,75028,DENTON,(972) 419-1530,Acute Care Hospitals,Proprietary
+28632,SWEDISH AMERICAN HOSPITAL,1401 EAST STATE STREET,ROCKFORD,IL,61104,WINNEBAGO,(815) 968-4400,Acute Care Hospitals,Voluntary non-profit - Other
+65258,METROSOUTH MEDICAL CENTER,12935 S GREGORY,BLUE ISLAND,IL,60406,COOK,(708) 597-2000,Acute Care Hospitals,Proprietary
+43593,FROEDTERT MEMORIAL LUTHERAN HOSPITAL,9200 W WISCONSIN AVE,MILWAUKEE,WI,53226,MILWAUKEE,(414) 805-3000,Acute Care Hospitals,Voluntary non-profit - Private
+72216,PROVIDENCE LITTLE CO OF MARY MED CTR SAN PEDRO,1300 W 7TH ST,SAN PEDRO,CA,90732,LOS ANGELES,(310) 832-3311,Acute Care Hospitals,Voluntary non-profit - Private
+90345,SAINT THOMAS HIGHLANDS HOSPITAL,401 SEWELL DR,SPARTA,TN,38583,WHITE,(931) 738-9211,Acute Care Hospitals,Proprietary
+18063,PAWNEE VALLEY COMMUNITY HOSPITAL,923 CARROLL AVENUE,LARNED,KS,67550,PAWNEE,(620) 285-3162,Critical Access Hospitals,Voluntary non-profit - Private
+69744,MEMORIAL HOSPITAL,1101 MICHIGAN AVE,LOGANSPORT,IN,46947,CASS,(574) 753-7541,Acute Care Hospitals,Government - Local
+76160,ALLEGIANCE BEHAVIORAL HEALTH CENTER OF PLAINVIEW,"2601 DIMMITT ROAD, SUITE 400",PLAINVIEW,TX,79072,HALE,(806) 296-9191,Psychiatric,Proprietary
+32311,MERCY ONE ELKADER MEDICAL CENTER,901 DAVIDSON STREET NW,ELKADER,IA,52043,CLAYTON,(563) 245-7000,Critical Access Hospitals,Voluntary non-profit - Private
+20649,PRESTON MEMORIAL HOSPITAL,150 MEMORIAL DRIVE,KINGWOOD,WV,26537,PRESTON,(304) 329-1400,Critical Access Hospitals,Voluntary non-profit - Private
+94562,TRIOS,900 SOUTH AUBURN STREET,KENNEWICK,WA,99336,BENTON,(509) 586-6111,Acute Care Hospitals,Government - Hospital District or Authority
+70761,ASCENSION BORGESS HOSPITAL,1521 GULL ROAD,KALAMAZOO,MI,49048,KALAMAZOO,(269) 226-7000,Acute Care Hospitals,Voluntary non-profit - Other
+72264,LUTHERAN HOSPITAL,1730 WEST 25TH STREET,CLEVELAND,OH,44113,CUYAHOGA,(216) 696-4300,Acute Care Hospitals,Voluntary non-profit - Private
+83592,SENTARA WILLIAMSBURG REGIONAL MEDICAL CENTER,100 SENTARA CIRCLE,WILLIAMSBURG,VA,23188,JAMES CITY,(757) 984-6000,Acute Care Hospitals,Voluntary non-profit - Private
+83361,UMD UPPER CHESAPEAKE MEDICAL CENTER,500 UPPER CHESAPEAKE DRIVE,BEL AIR,MD,21014,HARFORD,(443) 643-3303,Acute Care Hospitals,Voluntary non-profit - Other
+21060,HENDERSON COUNTY COMMUNITY HOSPITAL,200 W CHURCH ST,LEXINGTON,TN,38351,HENDERSON,(731) 968-1801,Acute Care Hospitals,Proprietary
+78894,NOVANT HEALTH FORSYTH MEDICAL CENTER,3333 SILAS CREEK PARKWAY,WINSTON-SALEM,NC,27103,FORSYTH,(336) 718-5000,Acute Care Hospitals,Voluntary non-profit - Private
+91020,UNIVERSITY OF TN MEDICAL CENTER (THE),1924 ALCOA HIGHWAY,KNOXVILLE,TN,37920,KNOX,(865) 544-9000,Acute Care Hospitals,Voluntary non-profit - Private
+69493,PLAINVIEW HOSPITAL,888 OLD COUNTRY ROAD,PLAINVIEW,NY,11803,NASSAU,(516) 719-3000,Acute Care Hospitals,Voluntary non-profit - Private
+48982,OHIO STATE UNIVERSITY HOSPITALS,410 WEST 10TH AVENUE,COLUMBUS,OH,43210,FRANKLIN,(614) 293-9700,Acute Care Hospitals,Government - State
+81285,SUTTER DELTA MEDICAL CENTER,3901 LONE TREE WAY,ANTIOCH,CA,94509,CONTRA COSTA,(925) 779-7200,Acute Care Hospitals,Voluntary non-profit - Private
+34039,"IZARD COUNTY MEDICAL CENTER, LLC",61 GRASSE STREET,CALICO ROCK,AR,72519,BAXTER,(870) 297-2400,Critical Access Hospitals,Proprietary
+22487,NORTH CENTRAL SURGICAL CENTER LLP,9301 NORTH CENTRAL EXPRESSWAY SUITE 100,DALLAS,TX,75231,DALLAS,(214) 265-2810,Acute Care Hospitals,Voluntary non-profit - Other
+49382,PARMER COUNTY COMMUNITY HOSPITAL,1307 CLEVELAND STREET,FRIONA,TX,79035,PARMER,(806) 250-2754,Critical Access Hospitals,Voluntary non-profit - Private
+80670,SANTA MONICA - UCLA MED CTR & ORTHOPAEDIC HOSPITAL,1250 16TH STREET,SANTA MONICA,CA,90404,LOS ANGELES,(310) 319-4000,Acute Care Hospitals,Voluntary non-profit - Private
+53742,ATMORE COMMUNITY HOSPITAL,401 MEDICAL PARK DRIVE,ATMORE,AL,36502,ESCAMBIA,(251) 368-2500,Acute Care Hospitals,Government - Hospital District or Authority
+41193,CONNECTICUT CHILDRENS MEDICAL CENTER,282 WASHINGTON STREET,HARTFORD,CT,6106,HARTFORD,(860) 545-9000,Childrens,Voluntary non-profit - Private
+72109,ADIRONDACK MEDICAL CENTER - SARANAC LAKE,"2233 STATE ROUTE 86, PO BOX 471",SARANAC LAKE,NY,12983,FRANKLIN,(518) 891-4141,Acute Care Hospitals,Voluntary non-profit - Other
+76691,ARBUCKLE MEMORIAL HOSPITAL AUTHORITY,2011 WEST BROADWAY,SULPHUR,OK,73086,MURRAY,(580) 622-2161,Critical Access Hospitals,Government - Local
+66201,COQUILLE VALLEY HOSPITAL DISTRICT,940 EAST 5TH STREET,COQUILLE,OR,97423,COOS,(541) 396-3101,Critical Access Hospitals,Government - Hospital District or Authority
+35423,COBRE VALLEY REGIONAL MEDICAL CENTER,5880 SOUTH HOSPITAL DRIVE,GLOBE,AZ,85501,GILA,(928) 402-1122,Critical Access Hospitals,Voluntary non-profit - Private
+44910,GRAHAM REGIONAL MEDICAL CENTER,1301 MONTGOMERY ROAD,GRAHAM,TX,76450,YOUNG,(940) 549-3400,Acute Care Hospitals,Government - Hospital District or Authority
+78484,CHRISTUS MOTHER FRANCES HOSPITAL SULPHUR SPRINGS,115 AIRPORT RD,SULPHUR SPRINGS,TX,75482,HOPKINS,(903) 885-7671,Acute Care Hospitals,Proprietary
+87995,SWEDISH EDMONDS HOSPITAL,21601 76TH AVENUE WEST,EDMONDS,WA,98026,SNOHOMISH,(425) 640-4000,Acute Care Hospitals,Voluntary non-profit - Private
+35726,ST CLAIR HOSPITAL,1000 BOWER HILL ROAD,PITTSBURGH,PA,15243,ALLEGHENY,(412) 942-4000,Acute Care Hospitals,Voluntary non-profit - Private
+64682,MILDRED MITCHELL-BATEMAN HOSPITAL,1530 NORWAY AVENUE,HUNTINGTON,WV,25709,CABELL,(304) 525-7801,Psychiatric,Government - State
+35413,WASHINGTON COUNTY MEMORIAL HOSPITAL,300 HEALTH WAY,POTOSI,MO,63664,WASHINGTON,(573) 438-5451,Critical Access Hospitals,Government - Local
+78326,MERCY HOSPITAL,2215 TRUXTUN AVENUE,BAKERSFIELD,CA,93301,KERN,(661) 632-5000,Acute Care Hospitals,Voluntary non-profit - Other
+77522,CANNON MEMORIAL HOSPITAL,123 W G ACKER DRIVE,PICKENS,SC,29671,PICKENS,(864) 878-4791,Acute Care Hospitals,Voluntary non-profit - Private
+80280,MEMORIAL HOSPITAL OF CARBONDALE,405 W JACKSON,CARBONDALE,IL,62901,JACKSON,(618) 549-0721,Acute Care Hospitals,Voluntary non-profit - Private
+93599,KNOXVILLE HOSPITAL & CLINICS,1002 SOUTH LINCOLN STREET,KNOXVILLE,IA,50138,MARION,(641) 842-2151,Critical Access Hospitals,Voluntary non-profit - Private
+39815,KLICKITAT VALLEY HOSPITAL,310 SOUTH ROOSEVELT,GOLDENDALE,WA,98620,KLICKITAT,(509) 773-4022,Critical Access Hospitals,Government - Hospital District or Authority
+36416,HOSPITAL METROPOLITANO DR PILA,2435 LAS AMERICAS AVE,PONCE,PR,733,PONCE,(787) 848-5600,Acute Care Hospitals,Voluntary non-profit - Private
+90665,EDGEWOOD SURGICAL HOSPITAL,239 EDGEWOOD DRIVE EXTENSION,TRANSFER,PA,16154,MERCER,(724) 646-0400,Acute Care Hospitals,Physician
+28357,ABROM KAPLAN MEMORIAL HOSPITAL,1310 WEST SEVENTH STREET,KAPLAN,LA,70548,VERMILION,(337) 643-8300,Critical Access Hospitals,Voluntary non-profit - Private
+75984,"INTEGRIS BAPTIST MEDICAL CENTER, INC",3300 NORTHWEST EXPRESSWAY,OKLAHOMA CITY,OK,73112,OKLAHOMA,(405) 951-8110,Acute Care Hospitals,Voluntary non-profit - Private
+44171,MAGNOLIA REGIONAL HEALTH CENTER,611 ALCORN DRIVE,CORINTH,MS,38834,ALCORN,(662) 293-1000,Acute Care Hospitals,Voluntary non-profit - Other
+62737,SKY LAKES MEDICAL CENTER,2865 DAGGETT AVENUE,KLAMATH FALLS,OR,97601,KLAMATH,(541) 274-6150,Acute Care Hospitals,Voluntary non-profit - Private
+91059,PERRY COUNTY MEMORIAL HOSPITAL,8885 SR 237,TELL CITY,IN,47586,PERRY,(812) 547-7011,Critical Access Hospitals,Voluntary non-profit - Other
+81525,COX MEDICAL CENTER BRANSON,"525 BRANSON LANDING BLVD, PO BOX 650",BRANSON,MO,65615,TANEY,(417) 335-7000,Acute Care Hospitals,Voluntary non-profit - Private
+30708,MITCHELL COUNTY HOSPITAL,90 STEPHENS STREET,CAMILLA,GA,31730,MITCHELL,(229) 336-5284,Critical Access Hospitals,Government - Hospital District or Authority
+44904,ADVENTHEALTH SEBRING,4200 SUN N LAKE BLVD,SEBRING,FL,33871,HIGHLANDS,(863) 314-4466,Acute Care Hospitals,Voluntary non-profit - Church
+40501,CHINESE HOSPITAL,845 JACKSON ST,SAN FRANCISCO,CA,94133,SAN FRANCISCO,(415) 982-2400,Acute Care Hospitals,Voluntary non-profit - Private
+91610,CHI LISBON HEALTH,905 MAIN ST,LISBON,ND,58054,RANSOM,(701) 683-5241,Critical Access Hospitals,Voluntary non-profit - Private
+23859,MASSAC MEMORIAL HOSPITAL,"28 CHICK STREET, PO BOX 850",METROPOLIS,IL,62960,MASSAC,(618) 524-2176,Critical Access Hospitals,Government - Hospital District or Authority
+69899,CHILDREN'S HOSPITAL COLORADO,13123 E 16TH AVE,AURORA,CO,80045,ADAMS,(720) 777-1234,Childrens,Voluntary non-profit - Private
+34013,WELLSTAR WEST GEORGIA MEDICAL CENTER,1514 VERNON ROAD,LAGRANGE,GA,30240,TROUP,(706) 882-1411,Acute Care Hospitals,Voluntary non-profit - Private
+40438,EDWARDS COUNTY HOSPITAL,620 WEST EIGHTH STREET,KINSLEY,KS,67547,EDWARDS,(620) 659-3621,Critical Access Hospitals,Government - Local
+14581,FREMONT HOSPITAL,39001 SUNDALE DRIVE,FREMONT,CA,94538,ALAMEDA,(510) 796-1100,Psychiatric,Proprietary
+43866,ST JOSEPH MERCY CHELSEA,775 S MAIN ST,CHELSEA,MI,48118,WASHTENAW,(734) 475-3911,Acute Care Hospitals,Voluntary non-profit - Private
+66173,WEKIVA SPRINGS,3947 SALISBURY RD,JACKSONVILLE,FL,32216,DUVAL,(904) 296-3533,Psychiatric,Proprietary
+80354,HARMON HOSPITAL,2170 EAST HARMON AVENUE,LAS VEGAS,NV,89119,CLARK,(702) 794-0100,Acute Care Hospitals,Voluntary non-profit - Private
+92320,JERSEY COMMUNITY HOSPITAL,400 MAPLE SUMMIT ROAD,JERSEYVILLE,IL,62052,JERSEY,(618) 498-6402,Acute Care Hospitals,Government - Local
+31035,BOONE COUNTY HOSPITAL,1015 UNION STREET,BOONE,IA,50036,BOONE,(515) 432-3140,Critical Access Hospitals,Government - Local
+68110,PALMDALE REGIONAL MEDICAL CENTER,38600 MEDICAL CENTER DRIVE,PALMDALE,CA,93552,LOS ANGELES,(661) 382-5000,Acute Care Hospitals,Proprietary
+23424,ADVENTIST HEALTH CASTLE,640 ULUKAHIKI ST,KAILUA,HI,96734,HONOLULU,(808) 263-5500,Acute Care Hospitals,Voluntary non-profit - Church
+59239,CALLAWAY DISTRICT HOSPITAL,"P O BOX 100, 211 E KIMBALL",CALLAWAY,NE,68825,CUSTER,(308) 836-2228,Critical Access Hospitals,Government - Hospital District or Authority
+53270,JENNINGS SENIOR CARE HOSPITAL,"1 HOSPITAL DRIVE, SUITE 201",JENNINGS,LA,70546,JEFFRSON DAVIS,(337) 824-1558,Psychiatric,Proprietary
+21708,HAYES GREEN BEACH MEMORIAL HOSPITAL,321 E HARRIS STREET,CHARLOTTE,MI,48813,EATON,(517) 543-1050,Critical Access Hospitals,Voluntary non-profit - Other
+49024,BRYLIN HOSP,1263 DELAWARE AVE,BUFFALO,NY,14209,ERIE,(716) 886-8200,Psychiatric,Proprietary
+82916,POPLAR BLUFF REGIONAL MEDICAL CENTER,3100 OAK GROVE ROAD,POPLAR BLUFF,MO,63901,BUTLER,(573) 785-7721,Acute Care Hospitals,Proprietary
+79844,LENOX HILL HOSPITAL,100 EAST 77TH STREET,NEW YORK,NY,10021,NEW YORK,(212) 439-2345,Acute Care Hospitals,Voluntary non-profit - Private
+11432,NOVANT HEALTH MINT HILL MEDICAL CENTER,8201 HEALTHCARE LOOP,CHARLOTTE,NC,28215,MECKLENBURG,(704) 384-4089,Acute Care Hospitals,Voluntary non-profit - Private
+62822,EVANSTON REGIONAL HOSPITAL,190 ARROWHEAD DR,EVANSTON,WY,82930,UINTA,(307) 789-3636,Acute Care Hospitals,Proprietary
+21979,HARLAN ARH HOSPITAL,81 BALL PARK ROAD,HARLAN,KY,40831,HARLAN,(606) 573-8100,Acute Care Hospitals,Voluntary non-profit - Other
+71682,KITTITAS VALLEY COMMUNITY HOSPITAL,603 SOUTH CHESTNUT,ELLENSBURG,WA,98926,KITTITAS,(509) 962-9841,Critical Access Hospitals,Government - Hospital District or Authority
+66855,SENTARA HALIFAX REGIONAL HOSPITAL,2204 WILBORN AVENUE,SOUTH BOSTON,VA,24592,HALIFAX,(434) 517-3100,Acute Care Hospitals,Voluntary non-profit - Private
+59734,COOPER UNIVERSITY HOSPITAL,1 COOPER PLAZA,CAMDEN,NJ,8103,CAMDEN,(856) 342-2000,Acute Care Hospitals,Voluntary non-profit - Private
+36704,MEDSTAR GEORGETOWN UNIVERSITY HOSPITAL,3800 RESERVOIR RD,WASHINGTON,DC,20007,THE DISTRICT,(202) 784-3000,Acute Care Hospitals,Voluntary non-profit - Private
+20873,MEDICAL CENTER HOSPITAL,500 W 4TH STREET,ODESSA,TX,79761,ECTOR,(432) 640-4000,Acute Care Hospitals,Government - Hospital District or Authority
+79886,WELLSPAN SURGERY AND REHABILITATION HOSPITAL,55 MONUMENT ROAD,YORK,PA,17403,YORK,(717) 812-6100,Acute Care Hospitals,Voluntary non-profit - Private
+13228,TULSA SPINE & SPECIALTY HOSPITAL,6901 SOUTH OLYMPIA AVENUE,TULSA,OK,74132,TULSA,(918) 388-5701,Acute Care Hospitals,Proprietary
+76535,NORTH SHORE MEDICAL CENTER -,81 HIGHLAND AVENUE,SALEM,MA,1970,ESSEX,(978) 741-1215,Acute Care Hospitals,Voluntary non-profit - Private
+36626,LAWNWOOD REGIONAL MEDICAL CENTER & HEART INSTITUTE,1700 S 23RD ST,FORT PIERCE,FL,34950,ST. LUCIE,(772) 461-4000,Acute Care Hospitals,Proprietary
+56360,OJAI VALLEY COMMUNITY HOSPITAL,1306 MARICOPA HWY,OJAI,CA,93023,VENTURA,(805) 640-2280,Critical Access Hospitals,Voluntary non-profit - Private
+72567,ST PATRICK HOSPITAL,500 W BROADWAY,MISSOULA,MT,59806,MISSOULA,(406) 543-7271,Acute Care Hospitals,Voluntary non-profit - Church
+26616,UNION HOSPITAL INC,1606 N SEVENTH ST,TERRE HAUTE,IN,47804,VIGO,(812) 238-7606,Acute Care Hospitals,Voluntary non-profit - Private
+48204,TRINITY HOSPITAL TWIN CITY,819 NORTH FIRST STREET,DENNISON,OH,44621,TUSCARAWAS,(740) 922-2800,Critical Access Hospitals,Voluntary non-profit - Church
+52972,THEDACARE MEDICAL CENTER - SHAWANO INC,100 COUNTY RD B,SHAWANO,WI,54166,SHAWANO,(715) 526-2111,Critical Access Hospitals,Voluntary non-profit - Private
+33600,MUSC HEALTH FLORENCE MEDICAL CENTER,805 PAMPLICO HWY BOX 100550,FLORENCE,SC,29505,FLORENCE,(843) 674-2500,Acute Care Hospitals,Proprietary
+29400,PANOLA MEDICAL CENTER,303 MEDICAL CENTER DRIVE,BATESVILLE,MS,38606,PANOLA,(662) 563-5611,Acute Care Hospitals,Proprietary
+43338,DAVIE MEDICAL CENTER,223 HOSPITAL STREET,MOCKSVILLE,NC,27028,DAVIE,(336) 751-8100,Acute Care Hospitals,Voluntary non-profit - Private
+44457,RESTON HOSPITAL CENTER,1850 TOWN CENTER PARKWAY,RESTON,VA,20190,FAIRFAX,(703) 689-9000,Acute Care Hospitals,Voluntary non-profit - Private
+20114,MEMORIALCARE SADDLEBACK MEDICAL CENTER,24451 HEALTH CENTER DRIVE,LAGUNA HILLS,CA,92653,ORANGE,(949) 837-4500,Acute Care Hospitals,Voluntary non-profit - Private
+26948,CARTERSVILLE MEDICAL CENTER,960 JOE FRANK HARRIS PARKWAY,CARTERSVILLE,GA,30120,BARTOW,(770) 387-8182,Acute Care Hospitals,Voluntary non-profit - Private
+44816,ST CHARLES SURGICAL HOSPITAL LLC,1717 ST CHARLES AVE,NEW ORLEANS,LA,70130,ORLEANS,(504) 529-6600,Acute Care Hospitals,Physician
+89709,PRESBYTERIAN ST LUKES MEDICAL CENTER,1719 E 19TH AVE,DENVER,CO,80218,DENVER,(303) 839-6000,Acute Care Hospitals,Government - State
+39255,ST ANTHONY NORTH HEALTH CAMPUS,14300 ORCHARD PKWY,WESTMINSTER,CO,80023,BROOMFIELD,(720) 627-0000,Acute Care Hospitals,Voluntary non-profit - Private
+16580,MCLAREN FLINT,401 S BALLENGER HIGHWAY,FLINT,MI,48532,GENESEE,(810) 342-2000,Acute Care Hospitals,Voluntary non-profit - Private
+84913,GULFPORT BEHAVIORAL HEALTH  SYSTEM,11150 US HIGHWAY 49 NORTH,GPT,MS,39503,HARRISON,(228) 831-1700,Psychiatric,Proprietary
+77085,CHATUGE REGIONAL HOSPITAL,110 S MAIN STREET,HIAWASSEE,GA,30546,TOWNS,(706) 896-2222,Critical Access Hospitals,Government - Hospital District or Authority
+74589,ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL,ONE ROBERT WOOD JOHNSON PLACE,NEW BRUNSWICK,NJ,8901,MIDDLESEX,(732) 937-8525,Acute Care Hospitals,Voluntary non-profit - Private
+25904,RED RIVER BEHAVIORAL HEALTH SYSTEM,1451 44TH AVENUE S,GRAND FORKS,ND,58201,GRAND FORKS,(701) 772-2500,Psychiatric,Proprietary
+20455,ADVENTHEALTH DURAND,1220 3RD AVE W,DURAND,WI,54736,PEPIN,(715) 672-4211,Critical Access Hospitals,Voluntary non-profit - Church
+10298,MERCY MEDICAL CENTER,2700 NW STEWART PARKWAY,ROSEBURG,OR,97471,DOUGLAS,(541) 673-0611,Acute Care Hospitals,Government - Hospital District or Authority
+28869,BURNETT MEDICAL CENTER,257 W ST GEORGE AVE,GRANTSBURG,WI,54840,BURNETT,(715) 463-5353,Critical Access Hospitals,Voluntary non-profit - Private
+57297,FAWCETT MEMORIAL HOSPITAL,21298 OLEAN BLVD,PORT CHARLOTTE,FL,33952,CHARLOTTE,(941) 629-1181,Acute Care Hospitals,Proprietary
+92622,NORTHWEST OHIO PSYCHIATRIC HOSPITAL,930 SOUTH DETROIT AVENUE,TOLEDO,OH,43614,LUCAS,(419) 381-1881,Psychiatric,Government - State
+12765,ST LUKE'S PATIENTS MEDICAL CENTER,4600 EAST SAM HOUSTON PARKWAY SOUTH,PASADENA,TX,77505,HARRIS,(281) 487-0700,Acute Care Hospitals,Physician
+30408,CHRISTUS OCHSNER LAKE AREA HOSPITAL,4200 NELSON ROAD,LAKE CHARLES,LA,70605,CALCASIEU,(337) 474-6370,Acute Care Hospitals,Voluntary non-profit - Private
+15867,BAYLOR SCOTT & WHITE MEDICAL CENTER - MARBLE FALLS,810 W HIGHWAY 71,MARBLE FALLS,TX,78654,BURNET,(830) 201-7308,Acute Care Hospitals,Voluntary non-profit - Private
+56102,MEMORIAL HOSPITAL,4500 MEMORIAL DRIVE,BELLEVILLE,IL,62226,ST. CLAIR,(618) 233-7750,Acute Care Hospitals,Voluntary non-profit - Private
+22392,HARDTNER MEDICAL CENTER,1102 N PINE ROAD,OLLA,LA,71465,LASALLE,(318) 495-3131,Critical Access Hospitals,Government - Hospital District or Authority
+25200,CHI HEALTH MERCY COUNCIL BLUFFS,800 MERCY DRIVE,COUNCIL BLUFFS,IA,51503,POTTAWATTAMIE,(712) 328-5000,Acute Care Hospitals,Voluntary non-profit - Private
+75657,ASCENSION NE WISCONSIN - ST ELIZABETH CAMPUS,1506 S ONEIDA ST,APPLETON,WI,54915,OUTAGAMIE,(920) 738-2000,Acute Care Hospitals,Voluntary non-profit - Private
+64681,"SANCTUARY AT THE WOODLANDS, THE","1910 CHEROKEE AVENUE, SW",CULLMAN,AL,35055,CULLMAN,(256) 739-1239,Psychiatric,Proprietary
+43478,FAIRVIEW REGIONAL MEDICAL CENTER AUTHORITY,523 EAST STATE ROAD,FAIRVIEW,OK,73737,MAJOR,(580) 227-3721,Critical Access Hospitals,Government - Hospital District or Authority
+84323,WALTHALL COUNTY GENERAL HOSPITAL CAH,100 HOSPITAL DRIVE,TYLERTOWN,MS,39667,WALTHALL,(601) 876-2122,Critical Access Hospitals,Government - Local
+18907,CENTER FOR BEHAVIORAL MEDICINE,1000 E 24TH STREET,KANSAS CITY,MO,64108,JACKSON,(816) 512-7000,Psychiatric,Government - State
+87037,MANCHESTER MEMORIAL HOSPITAL,71 HAYNES ST,MANCHESTER,CT,6040,HARTFORD,(860) 647-4780,Acute Care Hospitals,Proprietary
+48231,FIRST TEXAS HOSPITAL CARROLLTON LLC,1401 E TRINITY MILLS ROAD,CARROLLTON,TX,75006,DALLAS,(972) 810-0700,Acute Care Hospitals,Proprietary
+90923,ASHLEY COUNTY MEDICAL CENTER,1015 UNITY ROAD,CROSSETT,AR,71635,ASHLEY,(870) 364-4111,Critical Access Hospitals,Voluntary non-profit - Private
+41151,SAINT THOMAS WEST HOSPITAL,"4220 HARDING RD, PO BOX 380",NASHVILLE,TN,37205,DAVIDSON,(615) 222-2111,Acute Care Hospitals,Voluntary non-profit - Church
+33909,BROWARD HEALTH NORTH,201 E SAMPLE RD,POMPANO BEACH,FL,33064,BROWARD,(954) 786-6950,Acute Care Hospitals,Government - Hospital District or Authority
+57209,MCPHERSON HOSPITAL INC,1000 HOSPITAL DRIVE,MCPHERSON,KS,67460,MCPHERSON,(620) 241-2250,Acute Care Hospitals,Voluntary non-profit - Private
+35193,MINNESOTA VALLEY HEALTH CENTER  INC,621 SOUTH FOURTH STREET,LE SUEUR,MN,56058,LE SUEUR,(507) 665-3375,Critical Access Hospitals,Voluntary non-profit - Private
+49556,DESOTO MEMORIAL HOSPITAL,900 N ROBERT AVE,ARCADIA,FL,34265,DE SOTO,(863) 494-3535,Acute Care Hospitals,Voluntary non-profit - Private
+94286,ADVENTIST HEALTH SIMI VALLEY,2975 N SYCAMORE DR,SIMI VALLEY,CA,93065,VENTURA,(805) 955-6000,Acute Care Hospitals,Voluntary non-profit - Church
+60078,WASHINGTON COUNTY REGIONAL MEDICAL CENTER,610 SPARTA ROAD,SANDERSVILLE,GA,31082,WASHINGTON,(478) 240-2100,Acute Care Hospitals,Government - Hospital District or Authority
+70202,METHODIST HOSPITAL UNION COUNTY,4604 US HIGHWAY 60 WEST,MORGANFIELD,KY,42437,UNION,(270) 389-5000,Critical Access Hospitals,Voluntary non-profit - Church
+35565,ST MARY MEDICAL CENTER,1050 LINDEN AVE,LONG BEACH,CA,90813,LOS ANGELES,(562) 491-9000,Acute Care Hospitals,Voluntary non-profit - Church
+71136,COLORADO RIVER MEDICAL CENTER,1401 BAILEY AVE,NEEDLES,CA,92363,SAN BERNARDINO,(760) 326-4531,Critical Access Hospitals,Voluntary non-profit - Private
+49076,ASCENSION GENESYS HOSPITAL,ONE GENESYS PARKWAY,GRAND BLANC,MI,48439,GENESEE,(810) 606-5000,Acute Care Hospitals,Voluntary non-profit - Church
+54669,BAPTIST HOSPITAL OF MIAMI,8900 N KENDALL DR,MIAMI,FL,33176,MIAMI-DADE,(786) 596-1960,Acute Care Hospitals,Voluntary non-profit - Private
+64029,COMMONWEALTH HEALTH CENTER,1 LOWER NAVY HILL ROAD (PO BOX 409CK),GARAPAN,MP,96950,SAIPAN,(670) 234-8950,Acute Care Hospitals,Proprietary
+21266,MEDICAL CENTER OF THE ROCKIES,2500 ROCKY MOUNTAIN AVENUE,LOVELAND,CO,80538,LARIMER,(970) 624-2500,Acute Care Hospitals,Voluntary non-profit - Private
+55233,CHESAPEAKE GENERAL HOSPITAL,"736 BATTLEFIELD BLVD, NORTH",CHESAPEAKE,VA,23320,CHESAPEAKE CITY,(757) 312-8121,Acute Care Hospitals,Government - Hospital District or Authority
+64752,SARATOGA HOSPITAL,211 CHURCH STREET,SARATOGA SPRINGS,NY,12866,SARATOGA,(518) 587-3222,Acute Care Hospitals,Voluntary non-profit - Private
+16584,MELISSA MEMORIAL HOSPITAL,1001 E JOHNSON ST,HOLYOKE,CO,80734,PHILLIPS,(970) 854-2241,Critical Access Hospitals,Government - Hospital District or Authority
+39917,POWER COUNTY HOSPITAL DISTRICT,510 ROOSEVELT STREET,AMERICAN FALLS,ID,83211,POWER,(208) 226-3200,Critical Access Hospitals,Government - Hospital District or Authority
+76541,SLEEPY EYE MUNICIPAL HOSPITAL,400 FOURTH AVENUE NORTHWEST,SLEEPY EYE,MN,56085,BROWN,(507) 794-3571,Critical Access Hospitals,Government - Local
+12779,EMERSON HOSPITAL -,133 OLD ROAD TO 9 ACRE CORNER,W CONCORD,MA,1742,MIDDLESEX,(978) 369-1400,Acute Care Hospitals,Voluntary non-profit - Private
+16458,STEWARD MELBOURNE HOSPITAL,250 NORTH WICKHAM ROAD,MELBOURNE,FL,32935,BREVARD,(321) 752-1200,Acute Care Hospitals,Proprietary
+91526,MAINEGENERAL MEDICAL CENTER,35 MEDICAL CENTER PARKWAY,AUGUSTA,ME,4330,KENNEBEC,(207) 626-1000,Acute Care Hospitals,Voluntary non-profit - Other
+59805,MT ASCUTNEY HOSPITAL,289 COUNTY ROAD,WINDSOR,VT,5089,WINDSOR,(802) 674-6711,Critical Access Hospitals,Voluntary non-profit - Private
+94137,SAINT AGNES HOSPITAL,900 CATON AVENUE,BALTIMORE,MD,21229,BALTIMORE CITY,(410) 368-2101,Acute Care Hospitals,Voluntary non-profit - Church
+32537,CALDWELL MEMORIAL HOSPITAL,321 MULBERRY ST SW,LENOIR,NC,28645,CALDWELL,(828) 757-5100,Acute Care Hospitals,Voluntary non-profit - Other
+35931,MISSOURI RIVER MEDICAL CENTER,1501 ST CHARLES ST,FORT BENTON,MT,59442,CHOUTEAU,(406) 622-3331,Critical Access Hospitals,Government - Hospital District or Authority
+88313,ELMHURST MEMORIAL HOSPITAL,155 EAST BRUSH HILL ROAD,ELMHURST,IL,60126,DU PAGE,(331) 221-0130,Acute Care Hospitals,Proprietary
+20346,ST MARY'S MEDICAL CENTER,201 NW R D MIZE RD,BLUE SPRINGS,MO,64014,JACKSON,(816) 228-5900,Acute Care Hospitals,Voluntary non-profit - Church
+72951,LAC/HARBOR-UCLA MED CENTER,1000 W CARSON ST,TORRANCE,CA,90502,LOS ANGELES,(310) 222-2101,Acute Care Hospitals,Government - Local
+79589,HUDSON HOSPITAL & CLINIC,405 STAGELINE ROAD,HUDSON,WI,54016,ST. CROIX,(715) 531-6000,Critical Access Hospitals,Voluntary non-profit - Private
+50734,MOUNTAIN VIEW REGIONAL MEDICAL CENTER,4311 EAST LOHMAN AVENUE,LAS CRUCES,NM,88011,DONA ANA,(575) 556-7610,Acute Care Hospitals,Proprietary
+88722,CARIBBEAN MEDICAL CENTER,151 AVE OSVALDO MOLINA,FAJARDO,PR,738,FAJARDO,(787) 801-0081,Acute Care Hospitals,Proprietary
+50530,LINDSBORG COMMUNITY HOSPITAL,605 W LINCOLN STREET,LINDSBORG,KS,67456,MCPHERSON,(785) 227-3308,Critical Access Hospitals,Voluntary non-profit - Private
+94857,RAPIDES REGIONAL MEDICAL CENTER,211 4TH STREET,ALEXANDRIA,LA,71301,RAPIDES,(318) 769-3000,Acute Care Hospitals,Proprietary
+46043,OAK VALLEY HOSPITAL DISTRICT,350 S OAK AVE,OAKDALE,CA,95361,STANISLAUS,(209) 847-3011,Acute Care Hospitals,Government - Hospital District or Authority
+65588,FLINT RIVER COMMUNITY HOSPITAL,"509 SUMTER STREET, BOX 770",MONTEZUMA,GA,31063,DOOLY,(478) 472-3100,Acute Care Hospitals,Voluntary non-profit - Private
+18147,PAOLI HOSPITAL,255 WEST LANCASTER AVENUE,PAOLI,PA,19301,CHESTER,(610) 648-1000,Acute Care Hospitals,Voluntary non-profit - Private
+11798,HOLY NAME MEDICAL CENTER,718 TEANECK RD,TEANECK,NJ,7666,BERGEN,(201) 833-3000,Acute Care Hospitals,Voluntary non-profit - Private
+62759,ST LUKE HOSPITAL & LIVING CENTER,535 SOUTH FREEBORN,MARION,KS,66861,MARION,(620) 382-2177,Critical Access Hospitals,Government - Hospital District or Authority
+58897,LIFEWAYS HOSPITAL,8050 WEST NORTHVIEW STREET,BOISE,ID,83704,ADA,(208) 327-0504,Psychiatric,Voluntary non-profit - Private
+93585,SAINT ROSE DOMINICAN HOSPITALS - SAN MARTIN CAMPUS,8280 W WARM SPRINGS ROAD,LAS VEGAS,NV,89113,CLARK,(702) 492-8509,Acute Care Hospitals,Voluntary non-profit - Church
+67055,ESSENTIA HEALTH ST MARY'S MEDICAL CENTER,407 EAST THIRD STREET,DULUTH,MN,55805,ST. LOUIS,(218) 786-4000,Acute Care Hospitals,Voluntary non-profit - Private
+85561,MERCY HEALTH-ST RITA'S MEDICAL CENTER,730 WEST MARKET STREET,LIMA,OH,45801,ALLEN,(419) 227-3361,Acute Care Hospitals,Voluntary non-profit - Private
+91338,HERRIN HOSPITAL,201 S 14TH ST,HERRIN,IL,62948,WILLIAMSON,(618) 942-2171,Acute Care Hospitals,Voluntary non-profit - Private
+80767,KAISER FOUNDATION HOSPITAL MANTECA,1777 WEST YOSEMITE AVE,MANTECA,CA,95337,SAN JOAQUIN,(209) 825-3700,Acute Care Hospitals,Voluntary non-profit - Private
+30350,ALLIANCEHEALTH WOODWARD,900 17TH STREET,WOODWARD,OK,73801,WOODWARD,(580) 254-8492,Acute Care Hospitals,Proprietary
+21165,MILLER COUNTY HOSPITAL,209 N CUTHBERT STREET,COLQUITT,GA,39837,MILLER,(229) 758-4231,Critical Access Hospitals,Government - Hospital District or Authority
+33154,CONTRA COSTA REGIONAL MEDICAL CENTER,2500 ALHAMBRA AVENUE,MARTINEZ,CA,94553,CONTRA COSTA,(925) 370-5000,Acute Care Hospitals,Government - Local
+65468,HOLY FAMILY MEMORIAL,2300 WESTERN AVE,MANITOWOC,WI,54221,MANITOWOC,(920) 320-2011,Acute Care Hospitals,Voluntary non-profit - Other
+11914,VIRTUA MEMORIAL HOSPITAL OF BURLINGTON COUNTY,175 MADISON AVE,MOUNT HOLLY,NJ,8060,BURLINGTON,(609) 267-0700,Acute Care Hospitals,Voluntary non-profit - Private
+32048,GREAT FALLS CLINIC HOSPITAL,3010 15TH AVENUE SOUTH,GREAT FALLS,MT,59405,CASCADE,(406) 216-8000,Acute Care Hospitals,Proprietary
+72900,EUREKA COMMUNITY HEALTH SERVICES - CAH,200 J AVE POST OFFICE BOX 517,EUREKA,SD,57437,MC PHERSON,(605) 284-2661,Critical Access Hospitals,Voluntary non-profit - Private
+32625,COMMUNITY HOSPITAL NORTH,7150 CLEARVISTA DR,INDIANAPOLIS,IN,46256,MARION,(317) 621-5335,Acute Care Hospitals,Voluntary non-profit - Private
+53267,ADVENTHEALTH DELAND,701 W PLYMOUTH AVE,DELAND,FL,32720,VOLUSIA,(386) 943-4772,Acute Care Hospitals,Voluntary non-profit - Church
+59099,LOGAN REGIONAL HOSPITAL,500 EAST 1400 NORTH,LOGAN,UT,84341,CACHE,(435) 716-1000,Acute Care Hospitals,Voluntary non-profit - Private
+72313,TRINITY HOSPITAL,315 KNAPP ST,WOLF POINT,MT,59201,ROOSEVELT,(406) 653-6500,Critical Access Hospitals,Voluntary non-profit - Private
+23551,SHARKEY ISSAQUENA COMMUNITY HOSPITAL,47 SOUTH FOURTH ST,ROLLING FORK,MS,39159,SHARKEY,(662) 873-4395,Acute Care Hospitals,Government - Local
+92586,MEMORIAL HOSPITAL,1423 SEVENTH ST,AURORA,NE,68818,HAMILTON,(402) 694-3171,Critical Access Hospitals,Voluntary non-profit - Private
+65991,BEHAVIORAL HEALTHCARE CENTER AT MARTIN,"458 HANNINGS LANE, P O BOX 1006",MARTIN,TN,38237,WEAKLEY,(731) 588-2830,Psychiatric,Voluntary non-profit - Private
+19865,MERCY HEALTH ST VINCENT MEDICAL CENTER,2213 CHERRY STREET,TOLEDO,OH,43608,LUCAS,(419) 251-3232,Acute Care Hospitals,Voluntary non-profit - Church
+27538,CROSSROADS COMMUNITY HOSPITAL,8 DOCTORS PARK RD,MOUNT VERNON,IL,62864,JEFFERSON,(618) 244-5500,Acute Care Hospitals,Proprietary
+20690,LICKING MEMORIAL HOSPITAL,1320 WEST MAIN STREET,NEWARK,OH,43055,LICKING,(220) 564-4000,Acute Care Hospitals,Voluntary non-profit - Private
+17047,Womack AMC (FT Bragg),2817 Reilly Road,Fort Bragg,NC,28307,CUMBERLAND,(910) 907-9262,Acute Care - Department of Defense,Department of Defense
+68817,LAKE VIEW MEMORIAL HOSPITAL,325 ELEVENTH AVE,TWO HARBORS,MN,55616,LAKE,(218) 834-7300,Critical Access Hospitals,Voluntary non-profit - Private
+49974,ST VINCENT FISHERS HOSPITAL INC,13861 OLIO ROAD,FISHERS,IN,46037,HAMILTON,(317) 415-9000,Acute Care Hospitals,Voluntary non-profit - Private
+38952,SAMARITAN HOSPITAL,801 EAST WHEELER ROAD,MOSES LAKE,WA,98837,GRANT,(509) 765-5606,Acute Care Hospitals,Government - Hospital District or Authority
+60557,GUNDERSEN LUTHERAN MEDICAL CENTER,1910 SOUTH AVE,LA CROSSE,WI,54601,LA CROSSE,(608) 782-7300,Acute Care Hospitals,Voluntary non-profit - Private
+31614,IREDELL MEMORIAL HOSPITAL INC,557 BROOKDALE DR  P O BOX 1828,STATESVILLE,NC,28677,IREDELL,(704) 873-5661,Acute Care Hospitals,Voluntary non-profit - Private
+69928,LOMA LINDA UNIVERSITY CHILDREN'S HOSPITAL,11234 ANDERSON STREET SUITE A,LOMA LINDA,CA,92354,SAN BERNARDINO,(909) 558-8000,Acute Care Hospitals,Voluntary non-profit - Church
+31797,KISHWAUKEE COMMUNITY HOSPITAL,1 KISH HOSPITAL DRIVE,DEKALB,IL,60115,DE KALB,(815) 756-1521,Acute Care Hospitals,Voluntary non-profit - Private
+71983,REGIONAL MENTAL HEALTH CENTER,8555 TAFT ST,MERRILLVILLE,IN,46410,LAKE,(219) 769-4005,Psychiatric,Voluntary non-profit - Private
+84688,FRANCISCAN CHILDREN'S HOSPITAL & REHAB CENTER,30 WARREN STREET,BRIGHTON,MA,2135,SUFFOLK,(617) 254-3800,Childrens,Voluntary non-profit - Private
+58078,HOSPITAL DR SUSONI INC,55 PALM ST,ARECIBO,PR,614,ARECIBO,(787) 650-1031,Acute Care Hospitals,Voluntary non-profit - Private
+85846,WALLOWA MEMORIAL HOSPITAL,601 MEDICAL PARKWAY,ENTERPRISE,OR,97828,WALLOWA,(541) 426-3111,Critical Access Hospitals,Government - Hospital District or Authority
+60952,SOUTH FLORIDA STATE HOSPITAL,800 E CYPRESS DR,PEMBROKE PINES,FL,33025,BROWARD,(305) 967-7000,Psychiatric,Government - State
+81975,PLACENTIA LINDA HOSPITAL,1301 N ROSE DRIVE,PLACENTIA,CA,92870,ORANGE,(714) 993-2000,Acute Care Hospitals,Proprietary
+31536,REGIONS HOSPITAL,640 JACKSON STREET,SAINT PAUL,MN,55101,RAMSEY,(651) 254-1616,Acute Care Hospitals,Voluntary non-profit - Private
+40658,ALLIANCEHEALTH SEMINOLE,2401 WRANGLER BOULEVARD,SEMINOLE,OK,74868,SEMINOLE,(405) 303-4050,Acute Care Hospitals,Proprietary
+70065,CHARLESTON AREA MEDICAL CENTER,501 MORRIS STREET,CHARLESTON,WV,25301,KANAWHA,(304) 388-5432,Acute Care Hospitals,Voluntary non-profit - Private
+79943,WARREN MEMORIAL HOSPITAL,1000 NORTH SHENANDOAH AVE,FRONT ROYAL,VA,22630,WARREN,(703) 636-0300,Acute Care Hospitals,Voluntary non-profit - Other
+34980,SAVOY MEDICAL CENTER,801 POINCIANA AVENUE,MAMOU,LA,70554,EVANGELINE,(337) 468-5261,Acute Care Hospitals,Voluntary non-profit - Other
+73215,HEALTHBRIDGE CHILDREN'S HOSPITAL - ORANGE,393 S TUSTIN STREET,ORANGE,CA,92866,ORANGE,(714) 289-2400,Childrens,Proprietary
+56152,"PARKVIEW WABASH HOSPITAL, INC",10 JOHN KISSINGER DRIVE,WABASH,IN,46992,WABASH,(260) 563-3131,Critical Access Hospitals,Voluntary non-profit - Private
+15369,NH Bremerton,1 Boone Road Bremerton,Bremerton,WA,98312,KITSAP,(360) 475-4232,Acute Care - Department of Defense,Department of Defense
+42221,HARRISBURG MEDICAL CENTER,100 DOCTOR WARREN TUTTLE DR,HARRISBURG,IL,62946,SALINE,(618) 253-7671,Acute Care Hospitals,Voluntary non-profit - Other
+19122,HOUSTON METHODIST SAN JACINTO HOSPITAL,4401 GARTH ROAD,BAYTOWN,TX,77521,HARRIS,(281) 420-8600,Acute Care Hospitals,Voluntary non-profit - Private
+66744,PROVIDENCE LITTLE COMPANY OF MARY MED CTR TORRANCE,4101 TORRANCE BLVD,TORRANCE,CA,90503,LOS ANGELES,(310) 540-7676,Acute Care Hospitals,Voluntary non-profit - Church
+21847,MERIT HEALTH MADISON,161 RIVER OAKS DRIVE,CANTON,MS,39046,MADISON,(601) 855-4000,Acute Care Hospitals,Proprietary
+51448,ST ELIZABETH MEDICAL CENTER,2209 GENESEE STREET,UTICA,NY,13501,ONEIDA,(315) 798-8100,Acute Care Hospitals,Voluntary non-profit - Private
+86563,BELMONT BEHAVIORAL HOSPITAL,4200 MONUMENT AVENUE,PHILADELPHIA,PA,19131,PHILADELPHIA,(215) 877-2000,Psychiatric,Voluntary non-profit - Private
+93124,TEXOMA MEDICAL CENTER,5016 S US HIGHWAY 75,DENISON,TX,75020,GRAYSON,(903) 416-4000,Acute Care Hospitals,Proprietary
+33789,MAYHILL HOSPITAL,2809 SOUTH MAYHILL ROAD,DENTON,TX,76208,DENTON,(940) 239-3000,Acute Care Hospitals,Proprietary
+16962,TAMPA GENERAL HOSPITAL,1 TAMPA GENERAL CIR,TAMPA,FL,33606,HILLSBOROUGH,(813) 844-7000,Acute Care Hospitals,Voluntary non-profit - Private
+54000,ASHLEY MEDICAL CENTER,612 CENTER AVENUE N,ASHLEY,ND,58413,MCINTOSH,(701) 288-3433,Critical Access Hospitals,Voluntary non-profit - Private
+44471,ST CLOUD REGIONAL MEDICAL CENTER,2906 17TH STREET,SAINT CLOUD,FL,34769,OSCEOLA,(407) 498-3432,Acute Care Hospitals,Proprietary
+31400,MCCURTAIN MEMORIAL HOSPITAL,1301 LINCOLN ROAD,IDABEL,OK,74745,MCCURTAIN,(580) 286-7623,Critical Access Hospitals,Voluntary non-profit - Private
+71516,ST VINCENT HOSPITAL & HEALTH SERVICES,2001 W 86TH ST,INDIANAPOLIS,IN,46260,MARION,(317) 338-7000,Acute Care Hospitals,Voluntary non-profit - Church
+55119,WILKES-BARRE GENERAL HOSPITAL,575 NORTH RIVER STREET,WILKES-BARRE,PA,18764,LUZERNE,(570) 829-8111,Acute Care Hospitals,Voluntary non-profit - Private
+36238,UNIVERSITY OF LOUISVILLE HOSPITAL,530 SOUTH JACKSON STREET,LOUISVILLE,KY,40202,JEFFERSON,(502) 562-3000,Acute Care Hospitals,Voluntary non-profit - Private
+67267,MASSENA MEMORIAL HOSPITAL,1 HOSPITAL DRIVE,MASSENA,NY,13662,ST. LAWRENCE,(315) 764-1711,Acute Care Hospitals,Government - Local
+22027,CENTURA HEALTH-LITTLETON ADVENTIST HOSPITAL,7700 S BROADWAY,LITTLETON,CO,80122,ARAPAHOE,(303) 730-8900,Acute Care Hospitals,Voluntary non-profit - Church
+19418,REYNOLDS MEMORIAL HOSPITAL,800 WHEELING AVE,GLEN DALE,WV,26038,MARSHALL,(304) 843-3230,Acute Care Hospitals,Voluntary non-profit - Private
+11718,COVENANT MEDICAL CENTER,3615 19TH STREET,LUBBOCK,TX,79410,LUBBOCK,(806) 725-4431,Acute Care Hospitals,Voluntary non-profit - Church
+43327,HACKENSACK UNIVERSITY MEDICAL CENTER,30 PROSPECT AVE,HACKENSACK,NJ,7601,BERGEN,(551) 996-2000,Acute Care Hospitals,Voluntary non-profit - Private
+61676,DOUGLAS COUNTY MEMORIAL HOSPITAL-CAH,708 8TH ST,ARMOUR,SD,57313,DOUGLAS,(605) 724-2159,Critical Access Hospitals,Voluntary non-profit - Private
+77850,ROCKFORD CENTER,100 ROCKFORD DRIVE,NEWARK,DE,19713,NEW CASTLE,(302) 996-5480,Psychiatric,Proprietary
+22510,GARFIELD MEMORIAL HOSPITAL,200 NORTH 400 EAST,PANGUITCH,UT,84759,GARFIELD,(435) 676-8811,Critical Access Hospitals,Government - Local
+18808,MAYO CLINIC HEALTH SYSTEM - ST JAMES,1101 MOULTON AND PARSONS DRIVE,ST JAMES,MN,56081,WATONWAN,(507) 375-8601,Critical Access Hospitals,Voluntary non-profit - Other
+94878,FRYE REGIONAL MEDICAL CENTER,420 N CENTER ST,HICKORY,NC,28601,CATAWBA,(828) 322-6070,Acute Care Hospitals,Proprietary
+62009,BANNER CASA GRANDE MEDICAL CENTER,1800 EAST FLORENCE BOULEVARD,CASA GRANDE,AZ,85122,PINAL,(520) 381-6300,Acute Care Hospitals,Voluntary non-profit - Other
+90679,HALE COUNTY HOSPITAL,508 GREEN STREET,GREENSBORO,AL,36744,HALE,(334) 624-3024,Acute Care Hospitals,Government - Hospital District or Authority
+17338,PHS INDIAN HOSPITAL AT ROSEBUD,400 SOLDIER CREEK ROAD,ROSEBUD,SD,57570,TODD,(605) 747-2231,Acute Care Hospitals,Government - Federal
+43661,SHRINERS HOSPITAL FOR CHILDREN,911 WEST 5TH AVENUE,SPOKANE,WA,99204,SPOKANE,(509) 623-0422,Childrens,Voluntary non-profit - Private
+19523,UNIVERSITY OF ALABAMA HOSPITAL,619 SOUTH 19TH STREET,BIRMINGHAM,AL,35233,JEFFERSON,(205) 934-4011,Acute Care Hospitals,Government - State
+30770,ABBEVILLE AREA MEDICAL CENTER,420 THOMSON CIRCLE,ABBEVILLE,SC,29620,ABBEVILLE,(864) 366-5011,Critical Access Hospitals,Government - Local
+59917,COON MEMORIAL HOSPITAL,1411 DENVER AVENUE,DALHART,TX,79022,DALLAM,(806) 244-4571,Critical Access Hospitals,Government - Hospital District or Authority
+63370,MERCY HEALTH - FAIRFIELD HOSPITAL,3000 MACK ROAD,FAIRFIELD,OH,45014,BUTLER,(513) 870-7197,Acute Care Hospitals,Voluntary non-profit - Private
+69551,T J HEALTH COLUMBIA,901 WESTLAKE DRIVE,COLUMBIA,KY,42728,ADAIR,(270) 384-4753,Acute Care Hospitals,Government - Hospital District or Authority
+23676,PECOS COUNTY MEMORIAL HOSPITAL,387 WEST I 10,FORT STOCKTON,TX,79735,PECOS,(432) 336-2004,Critical Access Hospitals,Government - Local
+12075,SAMARITAN LEBANON COMMUNITY HOSPITAL,525 N SANTIAM HIGHWAY,LEBANON,OR,97355,LINN,(541) 258-2101,Critical Access Hospitals,Voluntary non-profit - Church
+30857,NORTH CENTRAL HEALTH CARE,1100 LAKEVIEW DR,WAUSAU,WI,54403,MARATHON,(715) 848-4600,Psychiatric,Voluntary non-profit - Other
+71596,CARILION GILES COMMUNITY HOSPITAL,159 HARTLEY WAY,PEARISBURG,VA,24134,GILES,(540) 921-6000,Critical Access Hospitals,Voluntary non-profit - Private
+32725,BANNER HEART HOSPITAL,6750 EAST BAYWOOD AVENUE,MESA,AZ,85206,MARICOPA,(480) 854-5050,Acute Care Hospitals,Voluntary non-profit - Private
+28501,"HACIENDA CHILDREN'S HOSPITAL, INC.",610 WEST JEROME AVENUE,MESA,AZ,85210,MARICOPA,(602) 243-4231,Childrens,Proprietary
+79593,PETERSON REGIONAL MEDICAL CENTER,551 HILL COUNTRY DRIVE,KERRVILLE,TX,78028,KERR,(830) 896-4200,Acute Care Hospitals,Voluntary non-profit - Private
+70207,ASPIRUS LANGLADE HOSPITAL,112 E FIFTH AVE,ANTIGO,WI,54409,LANGLADE,(715) 623-2331,Critical Access Hospitals,Voluntary non-profit - Church
+75332,HENRY COUNTY MEDICAL CENTER,301 TYSON AV,PARIS,TN,38242,HENRY,(731) 642-1220,Acute Care Hospitals,Government - Hospital District or Authority
+24264,SUNBURY COMMUNITY HOSPITAL,350 NORTH 11TH STREET,SUNBURY,PA,17801,NORTHUMBERLND,(570) 286-3333,Acute Care Hospitals,Proprietary
+49223,SWIFT COUNTY BENSON HOSPITAL,1815 WISCONSIN AVENUE,BENSON,MN,56215,SWIFT,(320) 843-4232,Critical Access Hospitals,Government - Hospital District or Authority
+51723,NORTH SHORE MEDICAL CENTER,1100 NW 95TH ST,MIAMI,FL,33150,MIAMI-DADE,(305) 835-6000,Acute Care Hospitals,Proprietary
+59495,BUENA VISTA REGIONAL MEDICAL CENTER,1525 WEST 5TH STREET,STORM LAKE,IA,50588,BUENA VISTA,(712) 732-4030,Critical Access Hospitals,Government - Local
+40189,CRESTWOOD MEDICAL CENTER,ONE HOSPITAL DR SE,HUNTSVILLE,AL,35801,MADISON,(256) 882-3100,Acute Care Hospitals,Proprietary
+66725,DOCTORS NEUROPSYCHIATRIC HOSPITAL,417 S WHITLOCK ST,BREMEN,IN,46506,MARSHALL,(574) 546-0330,Psychiatric,Proprietary
+70720,TRUMAN MEDICAL CENTER HOSPITAL HILL,2301 HOLMES STREET,KANSAS CITY,MO,64108,JACKSON,(816) 404-1000,Acute Care Hospitals,Voluntary non-profit - Private
+32614,REGIONAL WEST MEDICAL CENTER,4021 AVE B,SCOTTSBLUFF,NE,69361,SCOTT BLUFF,(308) 635-3711,Acute Care Hospitals,Voluntary non-profit - Private
+62277,PHYSICIANS REGIONAL MEDICAL CENTER - PINE RIDGE,6101 PINE RIDGE ROAD,NAPLES,FL,34119,COLLIER,(239) 348-4000,Acute Care Hospitals,Proprietary
+42865,MONROE COUNTY HOSPITAL,2016 SOUTH ALABAMA AVENUE,MONROEVILLE,AL,36460,MONROE,(251) 575-3111,Acute Care Hospitals,Government - Local
+81023,"ST JOHN MEDICAL CENTER, INC",1923 SOUTH UTICA AVENUE,TULSA,OK,74104,TULSA,(918) 744-3131,Acute Care Hospitals,Voluntary non-profit - Private
+11279,ST ELIZABETH MEDICAL CENTER NORTH,1 MEDICAL VILLAGE DRIVE,EDGEWOOD,KY,41017,KENTON,(859) 301-2000,Acute Care Hospitals,Voluntary non-profit - Church
+94264,LAWRENCE COUNTY MEMORIAL HOSPITAL,2200 STATE ST,LAWRENCEVILLE,IL,62439,LAWRENCE,(618) 943-1000,Critical Access Hospitals,Voluntary non-profit - Private
+14660,SHANDS LIVE OAK REGIONAL MEDICAL CENTER,1100 SW 11TH ST,LIVE OAK,FL,32060,SUWANNEE,(904) 362-1413,Critical Access Hospitals,Proprietary
+24607,SKAGIT VALLEY HOSPITAL,1415 KINCAID STREET,MOUNT VERNON,WA,98274,SKAGIT,(360) 424-4111,Acute Care Hospitals,Government - Hospital District or Authority
+68067,VALLEY FORGE MEDICAL CENTER AND HOSPITAL,1033 W GERMANTOWN PIKE,NORRISTOWN,PA,19401,MONTGOMERY,(215) 539-8500,Acute Care Hospitals,Proprietary
+55445,O.A.S.I.S. HOSPITAL,750 NORTH 40TH STREET,PHOENIX,AZ,85008,MARICOPA,(602) 797-7700,Acute Care Hospitals,Voluntary non-profit - Private
+28589,VISTA MEDICAL CENTER EAST,1324 NORTH SHERIDAN ROAD,WAUKEGAN,IL,60085,LAKE,(847) 360-3000,Acute Care Hospitals,Voluntary non-profit - Other
+45681,ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL HAMILTON,ONE HAMILTON HEALTH PLACE,HAMILTON,NJ,8690,MERCER,(609) 586-7900,Acute Care Hospitals,Voluntary non-profit - Private
+82933,FOUNDATIONS BEHAVIORAL HEALTH,833 EAST BUTLER AVE,DOYLESTOWN,PA,18901,BUCKS,(215) 345-0444,Psychiatric,Voluntary non-profit - Private
+12928,ARTESIA GENERAL HOSPITAL,702 N 13TH STREET,ARTESIA,NM,88210,EDDY,(575) 748-3333,Acute Care Hospitals,Voluntary non-profit - Other
+74674,SOUTH MISSISSISSPI COUNTY REGIONAL MEDICAL CENTER,611 WEST LEE AVENUE,OSCEOLA,AR,72370,MISSISSIPPI,(870) 563-7000,Critical Access Hospitals,Government - Local
+38478,BAPTIST HEALTH CORBIN,ONE TRILLIUM WAY,CORBIN,KY,40701,WHITLEY,(606) 528-1212,Acute Care Hospitals,Voluntary non-profit - Private
+14124,NMC Camp Lejeune,100 Brewster Boulevard,Camp Lejeune,NC,28547,ONSLOW,(910) 450-4300,Acute Care - Department of Defense,Department of Defense
+77079,LUTHERAN MEDICAL CENTER,8300 W 38TH AVE,WHEAT RIDGE,CO,80033,JEFFERSON,(303) 425-4500,Acute Care Hospitals,Voluntary non-profit - Private
+28185,RENVILLE COUNTY HOSPITAL AND CLINICS,100 HEALTHY WAY,OLIVIA,MN,56277,RENVILLE,(320) 523-1261,Critical Access Hospitals,Government - Local
+79323,ADVENTHEALTH MANCHESTER,210 MARIE LANGDON DRIVE,MANCHESTER,KY,40962,CLAY,(606) 598-5104,Acute Care Hospitals,Voluntary non-profit - Church
+70643,OTTO KAISER MEMORIAL HOSPITAL,3349 S HIGHWAY 181,KENEDY,TX,78119,KARNES,(830) 583-3401,Critical Access Hospitals,Government - Hospital District or Authority
+70572,MERCY HOSPITAL SOUTH,10010 KENNERLY ROAD,SAINT LOUIS,MO,63128,ST. LOUIS,(314) 525-1000,Acute Care Hospitals,Voluntary non-profit - Private
+42461,NEWMAN MEMORIAL HOSPITAL,905 SOUTH MAIN STREET,SHATTUCK,OK,73858,ELLIS,(580) 938-2551,Critical Access Hospitals,Government - Local
+17090,ST ALOISIUS MEDICAL CENTER,325 E BREWSTER ST,HARVEY,ND,58341,WELLS,(701) 324-4651,Critical Access Hospitals,Voluntary non-profit - Private
+71208,ALTA BATES SUMMIT MEDICAL CENTER - ALTA BATES CAMP,2450 ASHBY AVENUE,BERKELEY,CA,94705,ALAMEDA,(510) 204-4444,Acute Care Hospitals,Voluntary non-profit - Private
+90086,"JELLICO MEDICAL CENTER, INC",188 HOSPITAL LANE,JELLICO,TN,37762,CAMPBELL,(423) 784-7252,Acute Care Hospitals,Voluntary non-profit - Private
+60225,ADVENTHEALTH WATERMAN,1000 WATERMAN WAY,TAVARES,FL,32778,LAKE,(352) 253-3300,Acute Care Hospitals,Voluntary non-profit - Church
+53383,PARKVIEW REGIONAL HOSPITAL,600 SOUTH BONHAM STREET,MEXIA,TX,76667,LIMESTONE,(254) 562-5332,Acute Care Hospitals,Proprietary
+16013,PARKVIEW HUNTINGTON HOSPITAL,2001 STULTS RD,HUNTINGTON,IN,46750,HUNTINGTON,(260) 355-3000,Acute Care Hospitals,Voluntary non-profit - Private
+18354,FAIRFIELD MEMORIAL HOSPITAL 1,303 N W 11TH STREET,FAIRFIELD,IL,62837,WAYNE,(618) 842-2611,Critical Access Hospitals,Voluntary non-profit - Private
+18328,AVERA HAND COUNTY MEMORIAL HOSPITAL AND CLINIC,300 W 5TH ST,MILLER,SD,57362,HAND,(605) 853-2421,Critical Access Hospitals,Voluntary non-profit - Private
+68572,GEISINGER-LEWISTOWN HOSPITAL,400 HIGHLAND AVENUE,LEWISTOWN,PA,17044,MIFFLIN,(717) 248-5411,Acute Care Hospitals,Voluntary non-profit - Private
+28762,MCLEAN HOSPITAL CORPORATION,115 MILL STREET,BELMONT,MA,2478,MIDDLESEX,(617) 855-3450,Psychiatric,Voluntary non-profit - Private
+61755,MERCYONE WATERLOO MEDICAL CENTER,3421 WEST NINTH STREET,WATERLOO,IA,50702,BLACK HAWK,(319) 272-8000,Acute Care Hospitals,Voluntary non-profit - Church
+66396,HOSPITAL GENERAL DE CASTANER,CARR 135 KM 64 2,CASTANER,PR,631,LARES,(787) 829-5010,Acute Care Hospitals,Voluntary non-profit - Private
+46707,NAVICENT HEALTH BALDWIN,821 NORTH COBB STREET,MILLEDGEVILLE,GA,31061,BALDWIN,(478) 454-3550,Acute Care Hospitals,Proprietary
+59179,AVERA QUEEN OF PEACE,525 N FOSTER,MITCHELL,SD,57301,DAVISON,(605) 995-2000,Acute Care Hospitals,Voluntary non-profit - Private
+55565,KAISER FOUNDATION HOSPITAL,99 MONTECILLO RD,SAN RAFAEL,CA,94903,MARIN,(415) 444-2000,Acute Care Hospitals,Voluntary non-profit - Private
+64862,JOHNSON COUNTY COMMUNITY HOSPITAL,1901 S SHADY ST,MOUNTAIN CITY,TN,37683,JOHNSON,(423) 727-1110,Critical Access Hospitals,Government - Hospital District or Authority
+50433,HURON VALLEY-SINAI HOSPITAL,ONE WILLIAM CARLS DRIVE,COMMERCE TOWNSHIP,MI,48382,OAKLAND,(248) 937-3370,Acute Care Hospitals,Proprietary
+33366,TRI-CITY MEDICAL CENTER,4002 VISTA WAY,OCEANSIDE,CA,92056,SAN DIEGO,(760) 724-8411,Acute Care Hospitals,Government - Hospital District or Authority
+64540,JOHN C FREMONT HEALTHCARE DISTRICT,5189 HOSPITAL ROAD,MARIPOSA,CA,95338,MARIPOSA,(209) 966-3631,Critical Access Hospitals,Government - Hospital District or Authority
+51298,RUMFORD  HOSPITAL,420 FRANKLIN STREET,RUMFORD,ME,4276,OXFORD,(207) 369-1000,Critical Access Hospitals,Proprietary
+35180,MEMORIAL MISSION HOSPITAL AND ASHEVILLE SURGERY CE,509 BILTMORE AVE,ASHEVILLE,NC,28801,BUNCOMBE,(828) 213-1111,Acute Care Hospitals,Voluntary non-profit - Private
+26039,COLEMAN COUNTY MEDICAL CENTER COMPANY,310 SOUTH PECOS STREET,COLEMAN,TX,76834,COLEMAN,(325) 625-2135,Critical Access Hospitals,Government - Hospital District or Authority
+63726,"SOUTHWESTERN REGIONAL MEDICAL CENTER, INC",10109 EAST 79TH STREET,TULSA,OK,74133,TULSA,(918) 286-5000,Acute Care Hospitals,Proprietary
+81764,HILL COUNTRY MEMORIAL HOSPITAL INC,1020 SOUTH STATE HIGHWAY 16,FREDERICKSBURG,TX,78624,GILLESPIE,(830) 997-4353,Acute Care Hospitals,Voluntary non-profit - Private
+17617,UPMC JAMESON,1211 WILMINGTON AVENUE,NEW CASTLE,PA,16105,LAWRENCE,(724) 656-4100,Acute Care Hospitals,Voluntary non-profit - Other
+70366,BRYCE HOSPITAL,200 UNIVERSITY BLVD,TUSCALOOSA,AL,35401,TUSCALOOSA,(205) 759-0750,Psychiatric,Government - State
+16237,SEARHC WRANGELL MEDICAL CENTER-CAH,310 BENNETT STREET PO BOX 1081,WRANGELL,AK,99929,WRANGELL CITY AND BOROUGH,(907) 874-7000,Critical Access Hospitals,Government - Local
+15061,VALLEY REGIONAL HOSPITAL,243 ELM STREET,CLAREMONT,NH,3743,SULLIVAN,(603) 542-7771,Critical Access Hospitals,Voluntary non-profit - Private
+49311,MOUNT CARMEL WEST,793 WEST STATE STREET,COLUMBUS,OH,43222,FRANKLIN,(614) 234-5000,Acute Care Hospitals,Voluntary non-profit - Private
+55089,POTTSTOWN HOSPITAL,1600 EAST HIGH STREET,POTTSTOWN,PA,19464,MONTGOMERY,(610) 327-7000,Acute Care Hospitals,Voluntary non-profit - Private
+87443,MERCY HOSPITAL AND MEDICAL CENTER,2525 S MICHIGAN AVE,CHICAGO,IL,60616,COOK,(312) 567-2000,Acute Care Hospitals,Voluntary non-profit - Private
+67355,WHITE RIVER MEDICAL CENTER,1710 HARRISON STREET,BATESVILLE,AR,72503,INDEPENDENCE,(870) 262-1200,Acute Care Hospitals,Voluntary non-profit - Private
+22008,SPARKS MEDICAL CENTER - VAN BUREN,211 CRAWFORD MEMORIAL DRIVE,VAN BUREN,AR,72956,CRAWFORD,(479) 474-3401,Acute Care Hospitals,Proprietary
+61896,UNITYPOINT HEALTH - KEOKUK,1600 MORGAN STREET,KEOKUK,IA,52632,LEE,(319) 524-7150,Acute Care Hospitals,Voluntary non-profit - Private
+67093,COOPERSTOWN MEDICAL CENTER,1200 ROBERTS AVE NE,COOPERSTOWN,ND,58425,GRIGGS,(701) 797-2221,Critical Access Hospitals,Voluntary non-profit - Private
+78481,ST VINCENT CHARITY MEDICAL CENTER,2351 EAST 22ND STREET,CLEVELAND,OH,44115,CUYAHOGA,(216) 861-6200,Acute Care Hospitals,Voluntary non-profit - Private
+41925,MERCY HOSPITAL AURORA,500 PORTER AVENUE,AURORA,MO,65605,LAWRENCE,(417) 678-2122,Critical Access Hospitals,Voluntary non-profit - Church
+48223,TRISTAR SUMMIT MEDICAL CENTER,5655 FRIST BLVD,HERMITAGE,TN,37076,DAVIDSON,(615) 316-3000,Acute Care Hospitals,Proprietary
+40638,MAYO CLINIC HEALTH SYSTEM-OAKRIDGE,13025 8TH ST,OSSEO,WI,54758,TREMPEALEAU,(715) 597-3121,Critical Access Hospitals,Voluntary non-profit - Other
+84625,ALTA BATES SUMMIT MEDICAL CENTER,350 HAWTHORNE AVENUE,OAKLAND,CA,94609,ALAMEDA,(510) 655-4000,Acute Care Hospitals,Voluntary non-profit - Private
+90743,GUNNISON VALLEY HOSPITAL,64 EAST 100 NORTH,GUNNISON,UT,84634,SANPETE,(435) 528-7246,Critical Access Hospitals,Proprietary
+17622,UCSF MEDICAL CENTER,"505 PARNASSUS AVE, BOX 0296",SAN FRANCISCO,CA,94143,SAN FRANCISCO,(415) 353-2733,Acute Care Hospitals,Voluntary non-profit - Other
+39775,CHILLICOTHE HOSPITAL DISTRICT,303 AVENUE I,CHILLICOTHE,TX,79225,HARDEMAN,(940) 852-5131,Critical Access Hospitals,Government - Hospital District or Authority
+31622,MOSAIC LIFE CARE AT ST JOSEPH,5325 FARAON STREET,SAINT JOSEPH,MO,64506,BUCHANAN,(816) 271-6000,Acute Care Hospitals,Voluntary non-profit - Private
+62514,HARLAN COUNTY HEALTH SYSTEM,"P O BOX 836, 717 NORTH BROWN ST",ALMA,NE,68920,HARLAN,(308) 928-2151,Critical Access Hospitals,Government - Local
+76406,TYLER HOLMES MEMORIAL HOSPITAL CAH,409 TYLER HOLMES DRIVE,WINONA,MS,38967,MONTGOMERY,(662) 283-4114,Critical Access Hospitals,Voluntary non-profit - Private
+47051,JOHN DEMPSEY HOSPITAL,263 FARMINGTON AVE,FARMINGTON,CT,6032,HARTFORD,(860) 679-1145,Acute Care Hospitals,Government - Local
+94223,VIDANT CHOWAN HOSPITAL,211 VIRGINIA RD,EDENTON,NC,27932,CHOWAN,(252) 482-8451,Critical Access Hospitals,Government - Local
+23384,ASCENSION SE WISCONSIN HOSPITAL - ST JOSEPH CAMPUS,5000 W CHAMBERS ST,MILWAUKEE,WI,53210,MILWAUKEE,(414) 447-2130,Acute Care Hospitals,Voluntary non-profit - Church
+54047,UPMC PASSAVANT,9100 BABCOCK BOULEVARD,PITTSBURGH,PA,15237,ALLEGHENY,(412) 367-6700,Acute Care Hospitals,Voluntary non-profit - Private
+65457,CROSS CREEK HOSPITAL,8402 CROSS PARK DRIVE,AUSTIN,TX,78754,TRAVIS,(844) 572-4956,Psychiatric,Proprietary
+57142,PROVIDENCE MOUNT CARMEL HOSPITAL,982 EAST COLUMBIA,COLVILLE,WA,99114,STEVENS,(509) 684-2561,Critical Access Hospitals,Voluntary non-profit - Church
+78296,MARYMOUNT HOSPITAL,12300 MCCRACKEN ROAD,GARFIELD HEIGHTS,OH,44125,CUYAHOGA,(216) 581-0500,Acute Care Hospitals,Voluntary non-profit - Private
+79935,TRINITY HOSPITALS,407 3RD ST SE,MINOT,ND,58701,WARD,(701) 857-5000,Acute Care Hospitals,Voluntary non-profit - Private
+85121,ADVOCATE BROMENN MEDICAL CENTER,1304 FRANKLIN AVENUE,NORMAL,IL,61761,MC LEAN,(309) 454-1400,Acute Care Hospitals,Voluntary non-profit - Church
+75322,CABELL HUNTINGTON HOSPITAL INC,1340 HAL GREER BOULEVARD,HUNTINGTON,WV,25701,CABELL,(304) 526-2192,Acute Care Hospitals,Voluntary non-profit - Private
+78145,KAISER FOUNDATION HOSPITAL AND REHAB CENTER,975 SERENO DR,VALLEJO,CA,94589,SOLANO,(707) 651-1000,Acute Care Hospitals,Voluntary non-profit - Other
+26577,ALASKA PSYCHIATRIC INSTITUTE,3700 PIPER STREET,ANCHORAGE,AK,99508,ANCHORAGE,(907) 269-7100,Psychiatric,Government - State
+78623,METHODIST RICHARDSON MEDICAL CENTER,2831 E PRESIDENT GEORGE BUSH HIGHWAY,RICHARDSON,TX,75082,COLLIN,(469) 204-1000,Acute Care Hospitals,Government - Hospital District or Authority
+16220,LIFESCAPE,2501 W 26TH ST,SIOUX FALLS,SD,57105,MINNEHAHA,(605) 444-9500,Childrens,Voluntary non-profit - Private
+61644,BRONSON SOUTH HAVEN HOSPITAL,955 S BAILEY AVE,SOUTH HAVEN,MI,49090,VAN BUREN,(269) 637-5271,Acute Care Hospitals,Government - Hospital District or Authority
+79411,RICE MEDICAL CENTER,600 SOUTH AUSTIN ROAD,EAGLE LAKE,TX,77434,COLORADO,(979) 234-5571,Critical Access Hospitals,Proprietary
+12683,KEOKUK COUNTY HEALTH CENTER,23019 HIGHWAY 149,SIGOURNEY,IA,52591,KEOKUK,(641) 622-2720,Critical Access Hospitals,Voluntary non-profit - Other
+16641,LONG ISLAND JEWISH MEDICAL CENTER,270 - 05 76TH AVENUE,NEW HYDE PARK,NY,11040,NASSAU,(718) 470-7000,Acute Care Hospitals,Voluntary non-profit - Private
+61783,PIH HOSPITAL - DOWNEY,11500 BROOKSHIRE AVENUE,DOWNEY,CA,90241,LOS ANGELES,(526) 904-5000,Acute Care Hospitals,Voluntary non-profit - Private
+77886,CALDWELL MEDICAL CENTER,100 MEDICAL CENTER DRIVE,PRINCETON,KY,42445,CALDWELL,(270) 365-0300,Critical Access Hospitals,Government - Hospital District or Authority
+28117,LAVACA MEDICAL CENTER,1400 NORTH TEXANA STREET,HALLETTSVILLE,TX,77964,LAVACA,(361) 798-3671,Critical Access Hospitals,Government - Hospital District or Authority
+13937,MERCYHEALTH HOSPITAL ROCKTON AVENUE,2400 NORTH ROCKTON AVENUE,ROCKFORD,IL,61103,WINNEBAGO,(815) 968-6861,Acute Care Hospitals,Voluntary non-profit - Private
+53215,MEMORIAL HOSPITAL OF TAMPA,2901 W SWANN AVE,TAMPA,FL,33609,HILLSBOROUGH,(813) 873-6400,Acute Care Hospitals,Proprietary
+59942,BAYLOR REGIONAL MEDICAL CENTER AT PLANO,4700 ALLIANCE BOULEVARD,PLANO,TX,75093,COLLIN,(469) 814-2000,Acute Care Hospitals,Voluntary non-profit - Other
+53808,TOPS SURGICAL SPECIALTY HOSPITAL,17080 RED OAK DRIVE,HOUSTON,TX,77090,HARRIS,(281) 539-2900,Acute Care Hospitals,Physician
+38883,RIVENDELL BEHAVIORAL HEALTH SERVICES,1035 PORTER PIKE,BOWLING GREEN,KY,42103,WARREN,(270) 843-1199,Psychiatric,Government - Federal
+79496,COMMUNITY BEHAVIORAL HEALTH HOSPITAL - BEMIDJI,800 BEMIDJI AVENUE NORTH SUITE 200,BEMIDJI,MN,56601,BELTRAMI,(218) 308-2401,Psychiatric,Government - State
+32519,CARLISLE REGIONAL MEDICAL CENTER,361 ALEXANDER SPRING ROAD,CARLISLE,PA,17015,CUMBERLAND,(717) 249-1212,Acute Care Hospitals,Proprietary
+59392,BAPTIST EMERGENCY HOSPITAL,16088 SAN PEDRO,SAN ANTONIO,TX,78232,BEXAR,(210) 402-4092,Acute Care Hospitals,Proprietary
+27326,PAWNEE COUNTY MEMORIAL HOSPITAL,"P O BOX 433, 600 I ST",PAWNEE CITY,NE,68420,PAWNEE,(402) 852-2231,Critical Access Hospitals,Proprietary
+46415,SOIN MEDICAL CENTER,3535 PENTAGON PARK BLVD,BEAVER CREEK,OH,45431,GREENE,(937) 702-4000,Acute Care Hospitals,Voluntary non-profit - Private
+73826,BAYLOR SCOTT & WHITE MEDICAL CENTER- COLLEGE STATI,700 SCOTT & WHITE DRIVE,COLLEGE STATION,TX,77845,BRAZOS,(979) 691-3701,Acute Care Hospitals,Voluntary non-profit - Private
+72121,SAINT FRANCIS MEDICAL CENTER,3630 EAST IMPERIAL HIGHWAY,LYNWOOD,CA,90262,LOS ANGELES,(310) 900-8900,Acute Care Hospitals,Voluntary non-profit - Church
+23877,BON SECOURS ST MARYS HOSPITAL,5801 BREMO RD,RICHMOND,VA,23226,RICHMOND CITY,(804) 285-2011,Acute Care Hospitals,Voluntary non-profit - Church
+63166,CHOCTAW GENERAL HOSPITAL,"401 VANITY FAIR LANE, PO BOX 618",BUTLER,AL,36904,CHOCTAW,(205) 459-9100,Critical Access Hospitals,Voluntary non-profit - Private
+28876,PALMETTO GENERAL HOSPITAL,2001 W 68TH ST,HIALEAH,FL,33016,MIAMI-DADE,(305) 823-5000,Acute Care Hospitals,Proprietary
+80880,OHIO COUNTY HOSPITAL,1211 OLD MAIN STREET,HARTFORD,KY,42347,OHIO,(270) 298-7411,Critical Access Hospitals,Proprietary
+39799,EASTERN NIAGARA HOSPITAL,521 EAST AVENUE,LOCKPORT,NY,14094,NIAGARA,(716) 514-5700,Acute Care Hospitals,Voluntary non-profit - Private
+33573,CLIFTON FINE HOSPITAL,1014 OSWEGATCHIE TRAIL,STAR LAKE,NY,13690,ST. LAWRENCE,(315) 848-3351,Critical Access Hospitals,Voluntary non-profit - Private
+31266,NORTHWEST FLORIDA COMMUNITY HOSPITAL,1360 BRICKYARD RD,CHIPLEY,FL,32428,WASHINGTON,(850) 638-1610,Critical Access Hospitals,Voluntary non-profit - Private
+65807,OUR CHILDRENS HOUSE,8 PRESTIGE CIRCLE 101,ALLEN,TX,75002,COLLIN,(214) 828-4747,Childrens,Voluntary non-profit - Church
+94192,MEDICAL CITY FORT WORTH,900 EIGHTH AVENUE,FORT WORTH,TX,76104,TARRANT,(817) 336-2100,Acute Care Hospitals,Proprietary
+27549,CENTRAL FLORIDA REGIONAL HOSPITAL,1401 W SEMINOLE BLVD,SANFORD,FL,32771,SEMINOLE,(407) 321-4500,Acute Care Hospitals,Proprietary
+67058,ST BARNABAS BEHAVIORAL HEALTH CENTER,1691 HIGHWAY 9  -  CN2025,TOMS RIVER,NJ,8755,OCEAN,(732) 914-1688,Psychiatric,Voluntary non-profit - Private
+53174,ADVENTIST HEALTH PORTLAND,10123 SE MARKET STREET,PORTLAND,OR,97216,MULTNOMAH,(503) 257-2500,Acute Care Hospitals,Voluntary non-profit - Church
+20376,SPRING GROVE HOSPITAL CENTER,55 WADE AVENUE,CATONSVILLE,MD,21228,BALTIMORE,(410) 402-7455,Psychiatric,Government - State
+27181,GARLAND BEHAVIORAL HOSPITAL,2300 MARIE CURIE BLVD 5TH FLOOR,GARLAND,TX,75042,DALLAS,(972) 487-5309,Psychiatric,Proprietary
+88819,GEARY COMMUNITY HOSPITAL,1102 ST MARY'S ROAD,JUNCTION CITY,KS,66441,GEARY,(785) 238-4131,Acute Care Hospitals,Government - Local
+23426,REGIONAL MEDICAL CENTER,709 W MAIN STREET,MANCHESTER,IA,52057,DELAWARE,(563) 927-3232,Critical Access Hospitals,Proprietary
+19767,HENDERSON HEALTH CARE SERVICES,1621 FRONT STREET,HENDERSON,NE,68371,YORK,(402) 723-4512,Critical Access Hospitals,Voluntary non-profit - Private
+75381,DOMINION HOSPITAL,2960 SLEEPY HOLLOW ROAD,FALLS CHURCH,VA,22044,FAIRFAX,(703) 536-2000,Psychiatric,Voluntary non-profit - Private
+25576,AUSTIN OAKS HOSPITAL,1407 WEST STASSNEY LANE,AUSTIN,TX,78745,TRAVIS,(512) 383-8939,Psychiatric,Proprietary
+43416,WEST CENTRAL GEORGIA REGIONAL HOSPITAL,3000 SCHATULGA RD BOX 12435,COLUMBUS,GA,31917,MUSCOGEE,(706) 568-5203,Psychiatric,Government - State
+93067,CARTERET GENERAL HOSPITAL,3500 ARENDELL ST,MOREHEAD CITY,NC,28557,CARTERET,(252) 808-6000,Acute Care Hospitals,Proprietary
+22303,REEVES MEMORIAL MEDICAL CENTER,409 FIRST STREET,BERNICE,LA,71222,UNION,(318) 285-9066,Critical Access Hospitals,Government - Hospital District or Authority
+23820,SUTTER AMADOR HOSPITAL,200 MISSION BLVD,JACKSON,CA,95642,AMADOR,(209) 223-7500,Acute Care Hospitals,Voluntary non-profit - Private
+28847,CAMERON REGIONAL MEDICAL CENTER,1600 E EVERGREEN,CAMERON,MO,64429,CLINTON,(816) 632-2101,Acute Care Hospitals,Voluntary non-profit - Private
+60279,ST CATHERINE HOSPITAL INC,4321 FIR ST,EAST CHICAGO,IN,46312,LAKE,(219) 392-7004,Acute Care Hospitals,Voluntary non-profit - Private
+50081,JEWISH HOME & REHAB CENTER,302  SILVER AVENUE,SAN FRANCISCO,CA,94112,SAN FRANCISCO,(415) 334-2500,Psychiatric,Voluntary non-profit - Private
+30150,MAYO CLINIC HEALTH SYSTEM-CHIPPEWA VALLEY,1501 THOMPSON ST,BLOOMER,WI,54724,CHIPPEWA,(715) 568-2000,Critical Access Hospitals,Voluntary non-profit - Private
+16404,PARKLAND MEDICAL CENTER,1 PARKLAND DRIVE,DERRY,NH,3038,ROCKINGHAM,(603) 421-2100,Acute Care Hospitals,Proprietary
+36381,UNION HOSPITAL CLINTON,801 S MAIN ST,CLINTON,IN,47842,VERMILLION,(765) 832-1234,Critical Access Hospitals,Voluntary non-profit - Private
+56231,LAGUNA HONDA HOSPITAL & REHABILITATION CENTER,375 LAGUNA HONDA BLVD,SAN FRANCISCO,CA,94116,SAN FRANCISCO,(415) 759-2300,Acute Care Hospitals,Government - Local
+15333,LEONARD J CHABERT MEDICAL CENTER,1978 INDUSTRIAL BLVD,HOUMA,LA,70363,TERREBONNE,(985) 873-2200,Acute Care Hospitals,Voluntary non-profit - Other
+68163,METHODIST FREMONT HEALTH,450 EAST 23RD ST,FREMONT,NE,68025,DODGE,(402) 721-1610,Acute Care Hospitals,Voluntary non-profit - Private
+89127,TIDELANDS HEALTH,606 BLACK RIVER RD DRAWER 1718,GEORGETOWN,SC,29440,GEORGETOWN,(843) 527-7000,Acute Care Hospitals,Voluntary non-profit - Private
+43917,BEARTOOTH BILLINGS CLINIC,2525 N BROADWAY,RED LODGE,MT,59068,CARBON,(406) 446-2345,Critical Access Hospitals,Voluntary non-profit - Private
+71151,JOHNSON COUNTY HEALTHCARE CENTER,497 WEST LOTT,BUFFALO,WY,82834,JOHNSON,(307) 684-5521,Critical Access Hospitals,Government - Hospital District or Authority
+44266,NACOGDOCHES MEDICAL CENTER,4920 NE STALLINGS DRIVE,NACOGDOCHES,TX,75961,NACOGDOCHES,(936) 569-9481,Acute Care Hospitals,Physician
+29562,ESSENTIA HEALTH DULUTH,502 EAST SECOND STREET,DULUTH,MN,55805,ST. LOUIS,(218) 786-2806,Acute Care Hospitals,Voluntary non-profit - Private
+16905,KINGMAN COMMUNITY HOSPITAL,750 W AVE D,KINGMAN,KS,67068,KINGMAN,(620) 532-3147,Critical Access Hospitals,Voluntary non-profit - Private
+15420,BUNKIE GENERAL HOSPITAL,427 EVERGREEN STREET,BUNKIE,LA,71322,AVOYELLES,(318) 346-6681,Critical Access Hospitals,Government - Hospital District or Authority
+13271,"COPPER SPRINGS HOSPITAL, LLC",10550 WEST MCDOWELL ROAD,AVONDALE,AZ,85392,MARICOPA,(480) 565-3035,Psychiatric,Proprietary
+21577,SANFORD WORTHINGTON MEDICAL CENTER,1018 SIXTH AVENUE PO BOX 997,WORTHINGTON,MN,56187,NOBLES,(507) 372-3110,Acute Care Hospitals,Voluntary non-profit - Private
+22180,BAYSTATE MEDICAL CENTER,759 CHESTNUT STREET,SPRINGFIELD,MA,1199,HAMPDEN,(413) 794-0000,Acute Care Hospitals,Voluntary non-profit - Private
+92946,RIVERVIEW HEALTH,395 WESTFIELD RD,NOBLESVILLE,IN,46060,HAMILTON,(317) 773-0760,Acute Care Hospitals,Government - Local
+38605,SUNRISE CANYON HOSPITAL,1950 ASPEN AVENUE,LUBBOCK,TX,79408,LUBBOCK,(806) 766-0268,Psychiatric,Voluntary non-profit - Other
+92816,EMERALD COAST BEHAVIORAL HOSPITAL,1940 HARRISON AVE,PANAMA CITY,FL,32405,BAY,(850) 763-0017,Psychiatric,Proprietary
+73259,GLEN OAKS HOSPITAL,301 E DIVISION BOX 1885,GREENVILLE,TX,75401,HUNT,(903) 454-6000,Psychiatric,Proprietary
+31897,MIDMICHIGAN MEDICAL CENTER-GRATIOT,300 E WARWICK DR,ALMA,MI,48801,GRATIOT,(989) 463-1101,Acute Care Hospitals,Voluntary non-profit - Private
+83105,STARR REGIONAL MEDICAL CENTER ATHENS,1114 W MADISON AVE,ATHENS,TN,37371,MC MINN,(423) 745-1411,Acute Care Hospitals,Proprietary
+52813,CLEAR VIEW BEHAVIORAL HEALTH,4770 LARIMER PKWY,JOHNSTOWN,CO,80534,WELD,(970) 800-5550,Psychiatric,Proprietary
+84050,MEMORIAL HOSPITAL OF CONVERSE COUNTY,111 SOUTH 5TH STREET,DOUGLAS,WY,82633,CONVERSE,(307) 358-2122,Critical Access Hospitals,Government - Local
+88763,LAC/RANCHO LOS AMIGOS NATIONAL REHABILITATION  CTR,7601 EAST IMPERIAL HIGHWAY,DOWNEY,CA,90242,LOS ANGELES,(562) 401-7022,Acute Care Hospitals,Government - Local
+46173,ASHE MEMORIAL HOSPITAL,200 HOSPITAL AVE,JEFFERSON,NC,28640,ASHE,(336) 246-7101,Critical Access Hospitals,Voluntary non-profit - Private
+17388,MORRISON COMMUNITY HOSPITAL,303 N JACKSON STREET,MORRISON,IL,61270,WHITESIDE,(815) 772-4003,Critical Access Hospitals,Government - Hospital District or Authority
+83293,CHILDREN'S HOSP OF LOS ANGELES,"4650 SUNSET BLVD, MS 108",LOS ANGELES,CA,90027,LOS ANGELES,(323) 669-2164,Childrens,Voluntary non-profit - Private
+54355,CHATHAM HOSPITAL INC,475 PROGRESS BLVD,SILER CITY,NC,27344,CHATHAM,(919) 799-4000,Critical Access Hospitals,Voluntary non-profit - Private
+61233,GARDEN PARK MEDICAL CENTER,15200 COMMUNITY ROAD,GULFPORT,MS,39503,HARRISON,(228) 575-7000,Acute Care Hospitals,Proprietary
+76244,MINIMALLY INVASIVE SURGERY HOSPITAL,11217 LAKEVIEW AVENUE,LENEXA,KS,66219,JOHNSON,(913) 322-7401,Acute Care Hospitals,Proprietary
+71701,MULTICARE DEACONESS HOSPITAL,W 800 FIFTH AVENUE,SPOKANE,WA,99210,SPOKANE,(509) 473-5800,Acute Care Hospitals,Voluntary non-profit - Private
+69942,BAYLOR MEDICAL CENTER AT IRVING,1901 N MACARTHUR BLVD,IRVING,TX,75061,DALLAS,(972) 579-8100,Acute Care Hospitals,Voluntary non-profit - Private
+22690,SOUTHERN VIRGINIA REGIONAL MEDICAL CENTER,727 NORTH MAIN STREET,EMPORIA,VA,23847,EMPORIA CITY,(434) 348-4400,Acute Care Hospitals,Proprietary
+84602,FRANKFORT REGIONAL MEDICAL CENTER,299 KINGS DAUGHTERS DRIVE,FRANKFORT,KY,40601,FRANKLIN,(502) 875-5240,Acute Care Hospitals,Proprietary
+11406,GUNNISON VALLEY HOSPITAL,711 NORTH TAYLOR STREET,GUNNISON,CO,81230,GUNNISON,(970) 641-1456,Critical Access Hospitals,Government - Local
+13425,TELECARE HERITAGE PSYCHIATRIC HEALTH FACILITY,"2633 E 27TH STREET, BUILDING B",OAKLAND,CA,94601,ALAMEDA,(510) 535-5115,Psychiatric,Proprietary
+31053,GRAND ITASCA CLINIC AND HOSPITAL,1601 GOLF COURSE ROAD,GRAND RAPIDS,MN,55744,ITASCA,(218) 326-3401,Acute Care Hospitals,Voluntary non-profit - Private
+14118,CHILDREN'S HOME OF PITTSBURGH,5324 PENN AVENUE,PITTSBURGH,PA,15224,ALLEGHENY,(412) 441-4884,Childrens,Voluntary non-profit - Private
+61839,ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL SOMERSET,110 REHILL AVE,SOMERVILLE,NJ,8876,SOMERSET,(908) 685-2200,Acute Care Hospitals,Voluntary non-profit - Private
+71605,UHHS MEMORIAL HOSPITAL OF GENEVA,870 WEST MAIN STREET,GENEVA,OH,44041,ASHTABULA,(440) 466-1141,Critical Access Hospitals,Voluntary non-profit - Private
+33381,UNIVERSITY OF VIRGINIA MEDICAL CENTER,1215 LEE STREET,CHARLOTTESVILLE,VA,22908,CHARLOTTESVILLE CITY,(800) 251-3627,Acute Care Hospitals,Government - State
+46725,CREEDMOOR PSYCHIATRIC CENTER,80-45 WINCHESTER BLVD BLDG B,QUEENS VILLAGE,NY,11427,QUEENS,(718) 264-4000,Psychiatric,Government - State
+64285,WESTERN MARYLAND REGIONAL MEDICAL CENTER,12500 WILLOWBROOK ROAD,CUMBERLAND,MD,21502,ALLEGANY,(240) 964-8001,Acute Care Hospitals,Voluntary non-profit - Private
+26286,MARIAS MEDICAL CENTER,640 PARK AVE,SHELBY,MT,59474,TOOLE,(406) 434-3200,Critical Access Hospitals,Government - Local
+53090,MCLAREN LAPEER REGION,1375 N MAIN ST,LAPEER,MI,48446,LAPEER,(810) 667-5500,Acute Care Hospitals,Voluntary non-profit - Private
+40956,GRAND STRAND REGIONAL MEDICAL CENTER,809 82ND PARKWAY,MYRTLE BEACH,SC,29572,HORRY,(843) 692-1000,Acute Care Hospitals,Proprietary
+15114,GOOD SAMARITAN HOSPITAL,1225 WILSHIRE BOULEVARD,LOS ANGELES,CA,90017,LOS ANGELES,(213) 977-2121,Acute Care Hospitals,Proprietary
+38008,EMORY DECATUR HOSPITAL,2701 N DECATUR ROAD,DECATUR,GA,30033,DE KALB,(404) 501-1000,Acute Care Hospitals,Voluntary non-profit - Private
+55267,MARY HITCHCOCK MEMORIAL HOSPITAL,1 MEDICAL CENTER DRIVE,LEBANON,NH,3756,GRAFTON,(603) 650-5000,Acute Care Hospitals,Voluntary non-profit - Private
+87420,ELMHURST HOSPITAL CENTER,79-01 BROADWAY,ELMHURST,NY,11373,QUEENS,(718) 334-1141,Acute Care Hospitals,Government - Local
+11904,UMD REHABILITATION &  ORTHOPAEDIC INSTITUTE,2200 KERNAN DRIVE,BALTIMORE,MD,21207,BALTIMORE,(410) 448-6701,Acute Care Hospitals,Voluntary non-profit - Private
+64941,PALI MOMI MEDICAL CENTER,98-1079 MOANALUA ROAD,AIEA,HI,96701,HONOLULU,(808) 486-6000,Acute Care Hospitals,Proprietary
+68414,"PAVILION FOUNDATION, THE",809 W CHURCH ST,CHAMPAIGN,IL,61820,CHAMPAIGN,(217) 373-1700,Psychiatric,Proprietary
+77316,HIAWATHA COMMUNITY HOSPITAL,300 UTAH STREET,HIAWATHA,KS,66434,BROWN,(785) 742-2131,Critical Access Hospitals,Voluntary non-profit - Private
+32888,"BEACON BEHAVIORAL HOSPITAL, INC",2471 LOUISIANA AVE,LUTCHER,LA,70071,ST. JAMES,(225) 258-6103,Psychiatric,Proprietary
+40326,CHAMBERS MEMORIAL HOSPITAL,719 DETROIT STREET,DANVILLE,AR,72833,YELL,(479) 495-2241,Acute Care Hospitals,Voluntary non-profit - Private
+84385,SERENITY SPRINGS SPECIALTY HOSPITAL,1495 FRAZIER ROAD,RUSTON,LA,71270,LINCOLN,(318) 202-3860,Psychiatric,Proprietary
+25395,BERWICK HOSPITAL CENTER,701 EAST 16TH STREET,BERWICK,PA,18603,COLUMBIA,(570) 759-5020,Acute Care Hospitals,Proprietary
+10014,KETTERING MEDICAL CENTER,3535 SOUTHERN BOULEVARD,KETTERING,OH,45429,MONTGOMERY,(937) 395-8165,Acute Care Hospitals,Voluntary non-profit - Church
+31926,METHODIST STONE OAK HOSPITAL,"1139 E SONTERRA BLVD, STE 535",SAN ANTONIO,TX,78258,BEXAR,(210) 638-2100,Acute Care Hospitals,Proprietary
+72147,HILL REGIONAL HOSPITAL,101 CIRCLE DRIVE,HILLSBORO,TX,76645,HILL,(254) 580-8500,Acute Care Hospitals,Voluntary non-profit - Private
+38438,SAN LEANDRO HOSPITAL,13855 E 14TH STREET,SAN LEANDRO,CA,94578,ALAMEDA,(510) 357-6500,Acute Care Hospitals,Government - Hospital District or Authority
+69454,NORTON COMMUNITY HOSPITAL,100  15TH NW STREET,NORTON,VA,24273,NORTON CITY,(276) 439-1000,Acute Care Hospitals,Voluntary non-profit - Private
+93743,FRANCISCAN HEALTH MICHIGAN CITY,3500 FRANCISCAN WAY,MICHIGAN CITY,IN,46360,LA PORTE,(219) 879-8511,Acute Care Hospitals,Voluntary non-profit - Church
+36771,CAREPOINT HEALTH-HOBOKEN UNIVERSITY MEDICAL CENTER,308 WILLOW AVE,HOBOKEN,NJ,7030,HUDSON,(201) 418-1000,Acute Care Hospitals,Voluntary non-profit - Church
+38828,MAYO CLINIC HEALTH SYSTEM - FAIRMONT,"800 MEDICAL CENTER DRIVE, PO BOX 800",FAIRMONT,MN,56031,MARTIN,(507) 238-8101,Acute Care Hospitals,Voluntary non-profit - Private
+60639,JOHN MUIR MEDICAL CENTER - CONCORD CAMPUS,2540 EAST ST,CONCORD,CA,94520,CONTRA COSTA,(925) 682-8200,Acute Care Hospitals,Voluntary non-profit - Private
+49029,HILLCREST HOSPITAL CLAREMORE,1202 N MUSKOGEE PLACE,CLAREMORE,OK,74017,ROGERS,(918) 341-2556,Acute Care Hospitals,Proprietary
+10030,PIONEERS MEMORIAL HEALTHCARE DISTRICT,207 WEST LEGION ROAD,BRAWLEY,CA,92227,IMPERIAL,(760) 351-3333,Acute Care Hospitals,Government - Hospital District or Authority
+70886,NEWBERRY COUNTY MEMORIAL HOSPITAL,2669 KINARD ST PO BOX 497,NEWBERRY,SC,29108,NEWBERRY,(803) 405-7145,Acute Care Hospitals,Voluntary non-profit - Other
+81029,WELLSTAR KENNESTONE HOSPITAL,677 CHURCH STREET,MARIETTA,GA,30060,COBB,(770) 793-5000,Acute Care Hospitals,Government - Hospital District or Authority
+27802,DAMERON HOSPITAL,525 WEST ACACIA STREET,STOCKTON,CA,95203,SAN JOAQUIN,(209) 944-5550,Acute Care Hospitals,Voluntary non-profit - Other
+16002,CATSKILL REGIONAL MEDICAL CENTER - G HERMANN SITE,8081 ROUTE 97,CALLICOON,NY,12723,SULLIVAN,(845) 887-5530,Critical Access Hospitals,Government - Federal
+38945,"PAGE MEMORIAL HOSPITAL, INC",200 MEMORIAL DRIVE,LURAY,VA,22835,PAGE,(540) 743-4561,Critical Access Hospitals,Voluntary non-profit - Private
+70340,Evans ACH (FT Carson),Fort Carson MEDDAC 1650 Cochrane Circle Fort Carson,Fort Carson,CO,80913,EL PASO,(719) 526-7000,Acute Care - Department of Defense,Department of Defense
+22011,BAXTER REGIONAL MEDICAL CENTER,624 HOSPITAL DRIVE,MOUNTAIN HOME,AR,72653,BAXTER,(870) 508-1000,Acute Care Hospitals,Voluntary non-profit - Private
+16651,MONROE COUNTY MEDICAL CENTER,529 CAPP HARLAN ROAD,TOMPKINSVILLE,KY,42167,MONROE,(270) 487-9231,Acute Care Hospitals,Voluntary non-profit - Other
+37686,DESERT VIEW HOSPITAL,360 SOUTH LOLA LANE,PAHRUMP,NV,89048,NYE,(775) 751-7500,Critical Access Hospitals,Proprietary
+41865,ST FRANCIS MEDICAL CENTER,601 HAMILTON AVE,TRENTON,NJ,8629,MERCER,(609) 599-5000,Acute Care Hospitals,Voluntary non-profit - Church
+66685,ALLIANCE COMMUNITY HOSPITAL,200 EAST STATE STREET,ALLIANCE,OH,44601,STARK,(330) 596-7018,Acute Care Hospitals,Voluntary non-profit - Other
+32293,BAYFRONT HEALTH PORT CHARLOTTE,2500 HARBOR BLVD,PORT CHARLOTTE,FL,33952,CHARLOTTE,(941) 766-4122,Acute Care Hospitals,Proprietary
+73764,SIERRA MEDICAL CENTER,1625 MEDICAL CENTER DR,EL PASO,TX,79902,EL PASO,(915) 747-4000,Acute Care Hospitals,Proprietary
+29033,UMD CHARLES REGIONAL  MEDICAL CENTER,5 GARRETT AVENUE,LA PLATA,MD,20646,CHARLES,(301) 609-4265,Acute Care Hospitals,Voluntary non-profit - Private
+33738,FAIRBANKS MEMORIAL HOSPITAL,1650 COWLES STREET,FAIRBANKS,AK,99701,FAIRBANKS NORTH STAR,(907) 452-8181,Acute Care Hospitals,Voluntary non-profit - Private
+40330,VANDERBILT UNIVERSITY MEDICAL CENTER,1211 MEDICAL CENTER DRIVE,NASHVILLE,TN,37232,DAVIDSON,(615) 322-3454,Acute Care Hospitals,Voluntary non-profit - Private
+41768,GREENE COUNTY HOSPITAL CAH,1017 JACKSON STREET,LEAKESVILLE,MS,39451,GREENE,(601) 394-4135,Critical Access Hospitals,Government - Local
+16041,JENNERSVILLE HOSPITAL,1015 WEST BALTIMORE PIKE,WEST GROVE,PA,19390,CHESTER,(610) 869-1000,Acute Care Hospitals,Voluntary non-profit - Other
+31769,MARINERS HOSPITAL,91500 OVERSEAS HIGHWAY,TAVERNIER,FL,33070,MONROE,(305) 434-3000,Critical Access Hospitals,Voluntary non-profit - Private
+46818,HOPEDALE HOSPITAL,107 TREMONT STREET,HOPEDALE,IL,61747,TAZEWELL,(309) 449-4296,Critical Access Hospitals,Voluntary non-profit - Private
+61581,JEWISH HOSPITAL - SHELBYVILLE,727 HOSPITAL DRIVE,SHELBYVILLE,KY,40065,SHELBY,(502) 647-4300,Acute Care Hospitals,Voluntary non-profit - Private
+53881,DAYTON CHILDREN'S HOSPITAL,ONE CHILDRENS PLAZA,DAYTON,OH,45404,MONTGOMERY,(937) 641-3450,Childrens,Voluntary non-profit - Private
+19131,NORTH TEXAS STATE HOSPITAL,6515 KEMP BLVD,WICHITA FALLS,TX,76308,WICHITA,(940) 692-1220,Psychiatric,Government - State
+94731,GULF BREEZE HOSPITAL,1110 GULF BREEZE PKWY,GULF BREEZE,FL,32561,SANTA ROSA,(850) 934-2000,Acute Care Hospitals,Voluntary non-profit - Other
+66099,I-70 COMMUNITY HOSPITAL,"105 HOSPITAL DRIVE, BUILDING B",SWEET SPRINGS,MO,65351,SALINE,(660) 335-4700,Critical Access Hospitals,Proprietary
+51567,SAINT VINCENT HOSPITAL,835 SOUTH VAN BUREN ST,GREEN BAY,WI,54301,BROWN,(920) 433-0112,Acute Care Hospitals,Voluntary non-profit - Church
+89851,ROCKFORD CENTER HOSPITAL,100 ROCKFORD DR,NEWARK,DE,19713,NEW CASTLE,(302) 996-5480,Psychiatric,Proprietary
diff --git a/data/hospital_account_info.csv b/data/hospital_account_info.csv
new file mode 100644
index 0000000..85deb96
--- /dev/null
+++ b/data/hospital_account_info.csv
@@ -0,0 +1,5340 @@
+Account_Num,Facility Name,Address,City,State,ZIP Code,County Name,Phone Number,Hospital Type,Hospital Ownership
+10605,SAGE MEMORIAL HOSPITAL,STATE ROUTE 264 SOUTH 191,GANADO,AZ,86505,APACHE,(928) 755-4541,Critical Access Hospitals,Voluntary non-profit - Private
+24250,WOODRIDGE BEHAVIORAL CENTER,600 NORTH 7TH STREET,WEST MEMPHIS,AR,72301,CRITTENDEN,(870) 394-4113,Psychiatric,Proprietary
+10341,DOUGLAS GARDENS HOSPITAL,5200 NE 2ND AVE,MIAMI,FL,33137,MIAMI-DADE,(305) 751-8626,Acute Care Hospitals,Voluntary non-profit - Private
+81101,SUNCOAST BEHAVIORAL HEALTH CENTER,4480 51ST ST W,BRADENTON,FL,34210,MANATEE,(941) 792-2222,Psychiatric,Proprietary
+39835,TREASURE VALLEY HOSPITAL,8800 WEST EMERALD STREET,BOISE,ID,83704,ADA,(208) 373-5000,Acute Care Hospitals,Proprietary
+48460,INTERMOUNTAIN HOSPITAL,303 NORTH ALLUMBAUGH STREET,BOISE,ID,83704,ADA,(208) 377-8400,Psychiatric,Proprietary
+30098,CHOATE MENTAL HEALTH & DEVELOPMENT CTR,1000 N MAIN ST,ANNA,IL,62906,UNION,(618) 833-5161,Psychiatric,Government - State
+92639,GOODLAND REGIONAL MEDICAL CENTER,220 WEST SECOND STREET,GOODLAND,KS,67735,SHERMAN,(785) 890-3625,Critical Access Hospitals,Government - Local
+86448,SPRING HARBOR HOSPITAL,123 ANDOVER ROAD,WESTBROOK,ME,4092,CUMBERLAND,(207) 761-2200,Psychiatric,Government - Federal
+28455,EASTERN SHORE HOSPITAL CENTER,POST OFFICE BOX 800,CAMBRIDGE,MD,21613,DORCHESTER,(410) 221-2525,Psychiatric,Government - State
+79639,CHOCTAW REGIONAL MEDICAL CENTER,8613 MS HWY 12,ACKERMAN,MS,39735,CHOCTAW,(662) 285-4400,Critical Access Hospitals,Government - Local
+58893,ST LOUIS CHILDRENS HOSPITAL,ONE CHILDRENS PLACE,SAINT LOUIS,MO,63110,ST. LOUIS CITY,(314) 454-6000,Childrens,Voluntary non-profit - Other
+74127,NEW HAMPSHIRE HOSP-PSYCH UNIT,36 CLINTON STREET,CONCORD,NH,3301,MERRIMACK,(603) 271-5300,Psychiatric,Government - State
+61498,UNION COUNTY GENERAL HOSPITAL,300 WILSON STREET,CLAYTON,NM,88415,UNION,(575) 374-7001,Critical Access Hospitals,Voluntary non-profit - Other
+59519,MARIA PARHAM MEDICAL CENTER,PO BOX 59,HENDERSON,NC,27536,VANCE,(252) 431-3708,Acute Care Hospitals,Proprietary
+39426,CHEROKEE INDIAN HOSPITAL AUTHORITY,CALLER BOX C268,CHEROKEE,NC,28719,SWAIN,(704) 497-9163,Acute Care Hospitals,Government - Federal
+26704,ALLEGHANY COUNTY MEMORIAL HOSPITAL,617 DOCTORS STREET,SPARTA,NC,28675,ALLEGHANY,(336) 372-5511,Critical Access Hospitals,Voluntary non-profit - Private
+71330,AKRON CHILDREN'S HOSPITAL,1 PERKINS SQUARE,AKRON,OH,44308,SUMMIT,(330) 543-1000,Childrens,Voluntary non-profit - Private
+30887,JEFFERSON COUNTY HOSPITAL,INTERSECTION HYWS 81 & 70,WAURIKA,OK,73573,JEFFERSON,(580) 228-2344,Critical Access Hospitals,Voluntary non-profit - Private
+64340,HOSPITAL SAN FRANCISCO,371 DE DIEGO AVE,SAN JUAN,PR,923,SAN JUAN,(787) 767-5100,Acute Care Hospitals,Proprietary
+53067,NH Oak Harbor,3475 North Saratoga Street,Oak Harbor,WA,98277,ISLAND,(360) 257-9500,Acute Care - Department of Defense,Department of Defense
+89453,SMOKEY POINT BEHAVIORAL HOSPITAL,3955 156TH ST NE,MARYSVILLE,WA,98271,SNOHOMISH,(212) 243-5565,Psychiatric,Proprietary
+51675,ADVENTIST HEALTHCARE WHITE OAK MEDICAL CENTER,12100 PLUM ORCHARD DRIVE,SILVER SPRING,MD,20904,MONTGOMERY,(301) 891-5651,Acute Care Hospitals,Voluntary non-profit - Private
+66832,MEMORIAL CARE MILLER CHILDREN'S &  WOMEN'S HOSP LB,2801 ATLANTIC AVENUE,LONG BEACH,CA,90806,LOS ANGELES,(562) 933-8001,Childrens,Voluntary non-profit - Other
+83753,ADVENTHEALTH LAKE WALES,410 S 11TH ST,LAKE WALES,FL,33853,POLK,(863) 676-1433,Acute Care Hospitals,Proprietary
+48943,HILL HOSPITAL OF SUMTER COUNTY,751 DERBY DRIVE,YORK,AL,36925,SUMTER,(205) 392-5263,Acute Care Hospitals,Voluntary non-profit - Other
+89403,MOUNT WASHINGTON PEDIATRIC HOSPITAL,1708 WEST ROGERS AVENUE,BALTIMORE,MD,21209,BALTIMORE CITY,(410) 578-5050,Childrens,Voluntary non-profit - Private
+71617,NEWARK BETH ISRAEL MEDICAL CENTER,201 LYONS AVE,NEWARK,NJ,7112,ESSEX,(973) 926-7850,Acute Care Hospitals,Voluntary non-profit - Private
+39365,HOLY CROSS HOSPITAL,2701 W 68TH STREET,CHICAGO,IL,60629,COOK,(773) 884-9000,Acute Care Hospitals,Voluntary non-profit - Private
+69359,DAVIS COUNTY HOSPITAL,509 NORTH MADISON STREET,BLOOMFIELD,IA,52537,DAVIS,(641) 664-2145,Critical Access Hospitals,Government - Local
+76253,CENTRAL FLORIDA BEHAVIORAL HOSPITAL,6601 CENTRAL FLORIDA PARKWAY,ORLANDO,FL,32821,ORANGE,(407) 370-0111,Psychiatric,Proprietary
+33357,FRANCES MAHON DEACONESS HOSPITAL,621 3RD ST S,GLASGOW,MT,59230,VALLEY,(406) 228-3500,Critical Access Hospitals,Voluntary non-profit - Private
+54812,81st Medical Group (Keesler AFB),81 MDG 301 Fisher St. Suite 109,Biloxi,MS,39530,HARRISON,(228) 377-6393,Acute Care - Department of Defense,Department of Defense
+69333,PIONEER MEMORIAL HOSPITAL,564 E PIONEER DRIVE,HEPPNER,OR,97836,MORROW,(541) 676-9133,Critical Access Hospitals,Government - Hospital District or Authority
+14559,AIKEN REGIONAL MEDICAL CENTER,302 UNIVERSITY PARKWAY,AIKEN,SC,29801,AIKEN,(803) 641-5900,Acute Care Hospitals,Proprietary
+86733,FOUR COUNTY COUNSELING CENTER,1015 MICHIGAN AVE,LOGANSPORT,IN,46947,CASS,(574) 722-5151,Psychiatric,Voluntary non-profit - Private
+72529,HIGHPOINT HEALTH,600 WILSON CREEK RD,LAWRENCEBURG,IN,47025,DEARBORN,(812) 537-1010,Acute Care Hospitals,Government - Local
+33748,PRISMA HEALTH BAPTIST PARKRIDGE,400 PALMETTO HEALTH PARKWAY,COLUMBIA,SC,29212,LEXINGTON,(803) 907-7011,Acute Care Hospitals,Voluntary non-profit - Private
+66907,ST JOSEPH'S HOSPITAL,45 WEST 10TH STREET,SAINT PAUL,MN,55102,RAMSEY,(651) 232-3000,Acute Care Hospitals,Voluntary non-profit - Private
+66220,NATCHAUG HOSPITAL,189 STORRS RD,MANSFIELD CENTER,CT,6250,TOLLAND,(860) 456-1311,Psychiatric,Voluntary non-profit - Private
+73487,MEMORIAL HERMANN NORTHEAST HOSPITAL,18951 MEMORIAL NORTH,HUMBLE,TX,77338,HARRIS,(281) 540-7700,Acute Care Hospitals,Voluntary non-profit - Private
+90482,PERMIAN REGIONAL MEDICAL CENTER ANDREWS COUNTY HO,720 HOSPITAL DRIVE,ANDREWS,TX,79714,ANDREWS,(432) 523-2200,Acute Care Hospitals,Government - Hospital District or Authority
+22313,PHOENIXVILLE HOSPITAL,140 NUTT ROAD,PHOENIXVILLE,PA,19460,CHESTER,(610) 983-1000,Acute Care Hospitals,Proprietary
+42159,HAZARD ARH REGIONAL MEDICAL CENTER,100 MEDICAL CENTER DRIVE,HAZARD,KY,41701,PERRY,(606) 439-6600,Acute Care Hospitals,Voluntary non-profit - Private
+57370,IROQUOIS MEMORIAL HOSPITAL,200 FAIRMAN STREET,WATSEKA,IL,60970,IROQUOIS,(815) 432-5201,Acute Care Hospitals,Voluntary non-profit - Private
+16679,HANSEN FAMILY HOSPITAL,920 SOUTH OAK STREET,IOWA FALLS,IA,50126,HARDIN,(641) 648-4631,Critical Access Hospitals,Government - Local
+77771,COMPASS BEHAVIORAL CENTER OF LAFAYETTE,312 YOUNGSVILLE HIGHWAY,LAFAYETTE,LA,70508,LAFAYETTE,(337) 534-4655,Psychiatric,Proprietary
+49078,ST JOSEPH MEDICAL CENTER,2500 BERNVILLE ROAD,READING,PA,19605,BERKS,(610) 378-2000,Acute Care Hospitals,Voluntary non-profit - Church
+52258,FERRELL HOSPITAL COMMUNITY FOUNDATIONS,1201 PINE STREET,ELDORADO,IL,62930,SALINE,(618) 273-3361,Critical Access Hospitals,Voluntary non-profit - Private
+24971,TAHOE FOREST HOSPITAL,10121 PINE AVE,TRUCKEE,CA,96161,NEVADA,(530) 587-6011,Critical Access Hospitals,Government - Hospital District or Authority
+48477,COLUMBIA MEMORIAL HOSPITAL,2111 EXCHANGE STREET,ASTORIA,OR,97103,CLATSOP,(503) 325-4321,Critical Access Hospitals,Proprietary
+28558,ASCENSION COLUMBIA ST MARY'S HOSPITAL OZAUKEE,13111 N PORT WASHINGTON RD,MEQUON,WI,53097,OZAUKEE,(414) 585-1374,Acute Care Hospitals,Voluntary non-profit - Church
+57625,MISSISSIPPI BAPTIST MEDICAL CENTER,1225 N STATE ST,JACKSON,MS,39202,HINDS,(601) 968-1000,Acute Care Hospitals,Voluntary non-profit - Private
+47429,AUXILIO MUTUO HOSPITAL,PONCE DE LEON AVENUE STOP 37 1/2,HATO REY,PR,918,SAN JUAN,(787) 758-2000,Acute Care Hospitals,Voluntary non-profit - Private
+13906,"CIRCLES OF CARE, INC",400 E SHERIDAN RD,MELBOURNE,FL,32901,BREVARD,(321) 984-4900,Psychiatric,Voluntary non-profit - Private
+22940,LUTHERAN HOSPITAL OF INDIANA,7950 W JEFFERSON BLVD,FORT WAYNE,IN,46804,ALLEN,(260) 435-7001,Acute Care Hospitals,Proprietary
+23925,USC VERDUGO HILLS HOSPITAL,1812 VERDUGO BLVD,GLENDALE,CA,91209,LOS ANGELES,(818) 790-7100,Acute Care Hospitals,Voluntary non-profit - Private
+17213,BRAXTON COUNTY MEMORIAL HOSPITAL,100 HOYLMAN DRIVE,GASSAWAY,WV,26624,BRAXTON,(304) 364-5156,Critical Access Hospitals,Voluntary non-profit - Private
+88954,SULLIVAN COUNTY MEMORIAL HOSPITAL,630 WEST THIRD STREET,MILAN,MO,63556,SULLIVAN,(660) 265-4212,Critical Access Hospitals,Government - Local
+39339,CENTRAL DUPAGE HOSPITAL,25 NORTH WINFIELD ROAD,WINFIELD,IL,60190,DU PAGE,(630) 682-1600,Acute Care Hospitals,Voluntary non-profit - Private
+19891,UTAH STATE HOSPITAL,1300 EAST CENTER STREET,PROVO,UT,84605,UTAH,(801) 344-4400,Psychiatric,Government - State
+55272,SCOTTSDALE OSBORN MEDICAL CENTER,7400 EAST OSBORN ROAD,SCOTTSDALE,AZ,85251,MARICOPA,(480) 882-4004,Acute Care Hospitals,Proprietary
+87779,REGIONAL WEST GARDEN COUNTY HOSPITAL,1100 WEST 2ND ST,OSHKOSH,NE,69154,GARDEN,(308) 772-3283,Critical Access Hospitals,Voluntary non-profit - Private
+86774,DECATUR COUNTY HOSPITAL,810 W  COLUMBIA STREET,OBERLIN,KS,67749,DECATUR,(785) 475-2208,Critical Access Hospitals,Voluntary non-profit - Private
+22439,RIVERWOODS BEHAVIORAL HEALTH SYSTEM,223 MEDICAL CENTER DRIVE,RIVERDALE,GA,30274,CLAYTON,(770) 991-8500,Psychiatric,Proprietary
+21074,BACON COUNTY HOSPITAL,302 SOUTH WAYNE STREET,ALMA,GA,31510,BACON,(912) 632-8961,Critical Access Hospitals,Voluntary non-profit - Other
+67597,SINAI-GRACE HOSPITAL,6071 W OUTER DRIVE,DETROIT,MI,48235,WAYNE,(313) 966-3300,Acute Care Hospitals,Proprietary
+57394,HENRY FORD HOSPITAL,2799 W GRAND BLVD,DETROIT,MI,48202,WAYNE,(313) 916-2600,Acute Care Hospitals,Voluntary non-profit - Private
+27371,Darnall AMC (FT Hood),36000 Darnall Loop,Fort Hood,TX,76544,BELL,(254) 288-8000,Acute Care - Department of Defense,Department of Defense
+60635,SAINT CLARE'S HOSPITAL/ DENVILLE CAMPUS,25 POCONO ROAD,DENVILLE,NJ,7834,MORRIS,(973) 983-5569,Acute Care Hospitals,Proprietary
+75731,HOSPITAL MENONITA GUAYAMA,AVE. PEDRO ALBIZU CAMPOS URB. LA HACIENDA,GUAYAMA,PR,785,GUAYANILLA,(787) 864-4300,Acute Care Hospitals,Voluntary non-profit - Church
+27337,ADVENTHEALTH CENTRAL TEXAS,2201 S CLEAR CREEK ROAD,KILLEEN,TX,76542,BELL,(254) 526-7523,Acute Care Hospitals,Voluntary non-profit - Church
+33556,WAYNE MEMORIAL HOSPITAL,2700 WAYNE MEMORIAL DR,GOLDSBORO,NC,27534,WAYNE,(919) 736-1110,Acute Care Hospitals,Voluntary non-profit - Private
+63071,PIONEERS MEDICAL CENTER,100 PIONEERS MEDICAL CENTER DR,MEEKER,CO,81641,RIO BLANCO,(970) 878-5047,Critical Access Hospitals,Government - Hospital District or Authority
+70110,WELLSPAN EPHRATA COMMUNITY HOSPITAL,169 MARTIN AVENUE,EPHRATA,PA,17522,LANCASTER,(717) 733-0311,Acute Care Hospitals,Voluntary non-profit - Other
+86778,MEDICAL CITY WEATHERFORD,713 E ANDERSON ST,WEATHERFORD,TX,76086,PARKER,(817) 599-1190,Acute Care Hospitals,Proprietary
+67152,BEAUMONT HOSPITAL - WAYNE,33155 ANNAPOLIS AVE,WAYNE,MI,48184,WAYNE,(734) 467-4175,Acute Care Hospitals,Voluntary non-profit - Private
+27857,ALASKA REGIONAL HOSPITAL,2801 DEBARR ROAD,ANCHORAGE,AK,99508,ANCHORAGE,(907) 276-1131,Acute Care Hospitals,Proprietary
+47252,MEMORIAL HEALTHCARE,826 WEST KING STREET,OWOSSO,MI,48867,SHIAWASSEE,(989) 723-5211,Acute Care Hospitals,Voluntary non-profit - Other
+24009,WEEKS MEDICAL CENTER,173 MIDDLE STREET,LANCASTER,NH,3584,COOS,(603) 788-4911,Critical Access Hospitals,Voluntary non-profit - Private
+79195,"COMPASS BEHAVIORAL CENTER OF ALEXANDRIA, INC",6410 MASONIC DRIVE,ALEXANDRIA,LA,71301,RAPIDES,(318) 442-3163,Psychiatric,Proprietary
+73734,CENTRAL VALLEY MEDICAL CENTER - CAH,48 WEST 1500 NORTH,NEPHI,UT,84648,JUAB,(435) 623-3000,Critical Access Hospitals,Voluntary non-profit - Private
+88443,PENOBSCOT BAY MEDICAL CENTER,6 GLEN COVE DRIVE,ROCKPORT,ME,4856,KNOX,(207) 921-8000,Acute Care Hospitals,Voluntary non-profit - Private
+60397,COMMUNITY MEMORIAL HOSPITAL,1755 NORTH MECKLENBURG AVENUE,SOUTH HILL,VA,23970,MECKLENBURG,(434) 447-3151,Acute Care Hospitals,Voluntary non-profit - Private
+91870,LAFAYETTE SURGICAL SPECIALTY HOSPITAL,1101 KALISTE SALOOM RD,LAFAYETTE,LA,70508,LAFAYETTE,(337) 769-4100,Acute Care Hospitals,Proprietary
+75733,ST VINCENT HOSPITAL,835 S VAN BUREN ST,GREEN BAY,WI,54301,BROWN,(920) 433-0111,Acute Care Hospitals,Voluntary non-profit - Church
+83290,FORT MADISON COMMUNITY HOSPITAL,5445 AVE O,FORT MADISON,IA,52627,LEE,(319) 372-6530,Acute Care Hospitals,Voluntary non-profit - Private
+65190,RANKEN JORDAN PEDIATRIC BRIDGE HOSPITAL,11365 DORSETT ROAD,MARYLAND HEIGHTS,MO,63043,ST. LOUIS,(314) 872-6400,Childrens,Voluntary non-profit - Private
+36127,OCHSNER ST ANNE GENERAL HOSPITAL,4608 HIGHWAY 1,RACELAND,LA,70394,LAFOURCHE,(985) 537-8377,Critical Access Hospitals,Voluntary non-profit - Private
+73041,COMMUNITY HOSPITAL,2000 CAMPBELL DRIVE,TORRINGTON,WY,82240,GOSHEN,(307) 532-4181,Critical Access Hospitals,Voluntary non-profit - Private
+89729,PIONEER MEMORIAL HOSPITAL - CAH,315 N WASHINGTON AVE  POST OFFICE BOX 368,VIBORG,SD,57070,TURNER,(605) 326-5161,Critical Access Hospitals,Voluntary non-profit - Private
+10416,TEXAS GENERAL HOSPITAL- VZRMC LP,707 N WALDRIP ST,GRAND SALINE,TX,75140,VAN ZANDT,(903) 962-5200,Acute Care Hospitals,Proprietary
+59592,HIGHLAND DISTRICT HOSPITAL,1275 NORTH HIGH STREET,HILLSBORO,OH,45133,HIGHLAND,(937) 393-6100,Critical Access Hospitals,Government - Hospital District or Authority
+22471,CLARKS SUMMIT STATE HOSPITAL,1451 HILLSIDE DRIVE,CLARKS SUMMIT,PA,18411,LACKAWANNA,(570) 586-2011,Psychiatric,Government - State
+84823,KANSAS MEDICAL CENTER LLC,1124 WEST 21ST STREET,ANDOVER,KS,67002,BUTLER,(316) 300-4000,Acute Care Hospitals,Proprietary
+66994,LAKE NORMAN REGIONAL MEDICAL CENTER,171 FAIRVIEW ROAD,MOORESVILLE,NC,28117,IREDELL,(704) 660-4000,Acute Care Hospitals,Proprietary
+49405,NORTHERN LOUISIANA MEDICAL CENTER,401 EAST VAUGHN AVENUE,RUSTON,LA,71270,LINCOLN,(318) 254-2100,Acute Care Hospitals,Proprietary
+80033,FAIRVIEW HOSPITAL,29 LEWIS AVENUE,GREAT BARRINGTON,MA,1230,BERKSHIRE,(413) 528-0790,Critical Access Hospitals,Voluntary non-profit - Private
+80940,UPMC LITITZ,1500 HIGHLANDS DRIVE,LITITZ,PA,17543,LANCASTER,(717) 625-5670,Acute Care Hospitals,Proprietary
+12183,PRISMA HEALTH LAURENS COUNTY HOSPITAL,22725 HIGHWAY 76 EAST,CLINTON,SC,29325,LAURENS,(864) 833-9100,Acute Care Hospitals,Voluntary non-profit - Private
+10288,PALO VERDE HOSPITAL,250 NORTH FIRST STREET,BLYTHE,CA,92225,RIVERSIDE,(760) 922-4115,Acute Care Hospitals,Government - Hospital District or Authority
+51488,MARTHA JEFFERSON HOSPITAL,500 MARTHA JEFFERSON DRIVE,CHARLOTTESVILLE,VA,22911,ALBEMARLE,(434) 654-7000,Acute Care Hospitals,Voluntary non-profit - Private
+59401,BEAVER COUNTY MEMORIAL HOSPITAL,212 EAST 8TH STREET,BEAVER,OK,73932,BEAVER,(580) 625-4551,Critical Access Hospitals,Government - Hospital District or Authority
+29319,GIBSON GENERAL HOSPITAL,1808 SHERMAN DR,PRINCETON,IN,47670,GIBSON,(812) 385-3401,Critical Access Hospitals,Voluntary non-profit - Private
+64773,UNIVERSITY HOSPITAL MCDUFFIE,2460 WASHINGTON ROAD,THOMSON,GA,30824,MC DUFFIE,(706) 595-1411,Acute Care Hospitals,Government - Hospital District or Authority
+62300,SAINT AGNES MEDICAL CENTER,1303 E HERNDON AVE,FRESNO,CA,93710,FRESNO,(559) 450-3000,Acute Care Hospitals,Voluntary non-profit - Church
+79893,TEXAS SCOTTISH RITE HOSPITAL FOR CHILDREN,2222 WELBORN STREET,DALLAS,TX,75219,DALLAS,(214) 559-5000,Childrens,Voluntary non-profit - Private
+56388,BARIX CLINICS OF PENNSYLVANIA,280 MIDDLETOWN ROAD,LANGHORNE,PA,19047,BUCKS,(267) 572-3100,Acute Care Hospitals,Proprietary
+58757,HUTCHINSON REGIONAL MEDICAL CENTER INC,1701 E 23RD AVENUE,HUTCHINSON,KS,67502,RENO,(620) 665-2001,Acute Care Hospitals,Proprietary
+45791,CAPE FEAR VALLEY-BLADEN COUNTY HOSPITAL,501 SOUTH POPLAR STREET,ELIZABETHTOWN,NC,28337,BLADEN,(910) 862-5100,Critical Access Hospitals,Voluntary non-profit - Private
+20629,NORTHERN DUTCHESS HOSPITAL,6511 SPRINGBROOK AVENUE,RHINEBECK,NY,12572,DUTCHESS,(845) 871-3391,Acute Care Hospitals,Voluntary non-profit - Private
+35875,ST FRANCIS HOSPITAL,3401 LUDINGTON ST,ESCANABA,MI,49829,DELTA,(906) 786-3311,Critical Access Hospitals,Voluntary non-profit - Church
+36786,BELLEVUE MEDICAL CENTER,2500 BELLEVUE MEDICAL CENTER DR,BELLEVUE,NE,68123,SARPY,(402) 763-3600,Acute Care Hospitals,Proprietary
+76940,STEELE MEMORIAL MEDICAL CENTER,203 SOUTH DAISY STREET,SALMON,ID,83467,LEMHI,(208) 756-5600,Critical Access Hospitals,Government - Local
+83945,CITRUS MEMORIAL HOSPITAL,502 W HIGHLAND BLVD,INVERNESS,FL,34452,CITRUS,(352) 726-1551,Acute Care Hospitals,Government - Hospital District or Authority
+30477,HCA HOUSTON HEALTHCARE PEARLAND,11100 SHADOW CREEK PARKWAY,PEARLAND,TX,77584,BRAZORIA,(713) 770-7000,Acute Care Hospitals,Proprietary
+63052,HAMPTON REGIONAL MEDICAL CENTER,595 WEST CAROLINA AVENUE,VARNVILLE,SC,29944,HAMPTON,(803) 943-2771,Acute Care Hospitals,Voluntary non-profit - Private
+42686,LAKESIDE MEDICAL CENTER,39200 HOOKER HWY,BELLE GLADE,FL,33430,PALM BEACH,(561) 996-6571,Acute Care Hospitals,Government - Hospital District or Authority
+66894,CHERRY COUNTY HOSPITAL,"P O BOX 410, 510 NORTH GREEN ST",VALENTINE,NE,69201,CHERRY,(402) 376-2525,Critical Access Hospitals,Government - Local
+14607,SOUTHERN TENNESSEE REGIONAL HEALTH SYSTEM PULASKI,1265 E COLLEGE ST,PULASKI,TN,38478,GILES,(931) 363-7531,Acute Care Hospitals,Proprietary
+67039,SANFORD MEDICAL CENTER MAYVILLE,42 6TH AVENUE SE,MAYVILLE,ND,58257,TRAILL,(701) 786-3800,Critical Access Hospitals,Voluntary non-profit - Private
+28555,ASSURANCE HEALTH HUDSON LLC,6260 HUDSON CROSSING PKWY,HUDSON,OH,44236,SUMMIT,(330) 208-9317,Psychiatric,Proprietary
+24854,ST JOSEPH HOSPITAL,1100 WEST STEWART DR,ORANGE,CA,92868,ORANGE,(714) 633-9111,Acute Care Hospitals,Voluntary non-profit - Church
+29082,SENECA DISTRICT HOSPITAL,130 BRENTWOOD DRIVE,CHESTER,CA,96020,PLUMAS,(530) 258-2121,Critical Access Hospitals,Voluntary non-profit - Other
+80902,ACMH HOSPITAL,ONE NOLTE DRIVE,KITTANNING,PA,16201,ARMSTRONG,(724) 543-8500,Acute Care Hospitals,Voluntary non-profit - Private
+37846,"WILLOUGH AT NAPLES, THE",9001 TAMIAMI TRAIL EAST,NAPLES,FL,34113,COLLIER,(941) 775-4500,Psychiatric,Proprietary
+40406,SALINE MEMORIAL HOSPITAL,#1 MEDICAL PARK DRIVE,BENTON,AR,72015,SALINE,(501) 776-6000,Acute Care Hospitals,Proprietary
+27484,MAYO CLINIC HEALTH SYSTEM - MANKATO,1025 MARSH STREET,MANKATO,MN,56001,BLUE EARTH,(507) 385-2646,Acute Care Hospitals,Voluntary non-profit - Private
+41402,WILSON MEDICAL CENTER,1705 S TARBORO ST,WILSON,NC,27893,WILSON,(252) 399-8040,Acute Care Hospitals,Voluntary non-profit - Private
+66467,TWIN LAKES REGIONAL MEDICAL CENTER,910 WALLACE AVENUE,LEITCHFIELD,KY,42754,GRAYSON,(270) 259-9400,Acute Care Hospitals,Voluntary non-profit - Other
+39523,SHANDS LAKE SHORE REGIONAL MEDICAL CENTER,368 NE FRANKLIN ST,LAKE CITY,FL,32055,COLUMBIA,(386) 292-8000,Acute Care Hospitals,Voluntary non-profit - Private
+65749,SOUTH POINTE HOSPITAL,20000 HARVARD ROAD,WARRENSVILLE HEIGHTS,OH,44122,CUYAHOGA,(216) 491-6000,Acute Care Hospitals,Voluntary non-profit - Other
+66232,SPRINGFIELD HOSPITAL,PO BOX 2003,SPRINGFIELD,VT,5156,WINDSOR,(802) 885-2151,Critical Access Hospitals,Voluntary non-profit - Private
+23843,RUSH UNIVERSITY MEDICAL CENTER,1653 WEST CONGRESS PARKWAY,CHICAGO,IL,60612,COOK,(312) 942-5000,Acute Care Hospitals,Voluntary non-profit - Private
+86494,KAISER FOUNDATION HOSPITAL - WESTSIDE,2875 NW STUCKI AVE,HILLSBORO,OR,97124,WASHINGTON,(971) 310-1000,Acute Care Hospitals,Voluntary non-profit - Private
+48039,MID-COLUMBIA MEDICAL CENTER,1700 E 19TH STREET,THE DALLES,OR,97058,WASCO,(541) 296-1111,Acute Care Hospitals,Voluntary non-profit - Other
+46577,LAKELAND BEHAVIORAL HEALTH SYSTEM,440 S MARKET,SPRINGFIELD,MO,65806,GREENE,(417) 865-5581,Psychiatric,Proprietary
+17322,NORTH MISSISSIPPI MEDICAL CENTER-WEST POINT,150 MEDICAL CENTER DRIVE,WEST POINT,MS,39773,CLAY,(662) 495-2300,Acute Care Hospitals,Voluntary non-profit - Private
+23062,MEMORIAL MEDICAL CENTER,1700 COFFEE RD,MODESTO,CA,95355,STANISLAUS,(209) 526-4500,Acute Care Hospitals,Voluntary non-profit - Private
+72982,NEOSHO MEMORIAL REGIONAL MEDICAL CENTER,629 SOUTH PLUMMER,CHANUTE,KS,66720,NEOSHO,(620) 431-4000,Critical Access Hospitals,Government - Local
+33422,MADELIA COMMUNITY HOSPITAL,121 DREW AVENUE SOUTHEAST,MADELIA,MN,56062,WATONWAN,(507) 642-3255,Critical Access Hospitals,Voluntary non-profit - Other
+82496,THE BEHAVIORAL CENTER OF MICHIGAN,4050 E 12 MILE ROAD,WARREN,MI,48092,MACOMB,(586) 261-2266,Psychiatric,Proprietary
+71391,SANFORD WESTBROOK MEDICAL CENTER,920 BELL AVENUE PO BOX 188,WESTBROOK,MN,56183,COTTONWOOD,(507) 274-1119,Critical Access Hospitals,Voluntary non-profit - Private
+26297,EXCELA HEALTH WESTMORELAND HOSPITAL,532 WEST PITTSBURGH STREET,GREENSBURG,PA,15601,WESTMORELAND,(724) 832-4000,Acute Care Hospitals,Voluntary non-profit - Other
+52290,HOUSTON MEDICAL CENTER,1601 WATSON BOULEVARD,WARNER ROBINS,GA,31093,HOUSTON,(478) 922-4281,Acute Care Hospitals,Voluntary non-profit - Private
+72673,BAYFRONT HEALTH SEVEN RIVERS,6201 N SUNCOAST BLVD,CRYSTAL RIVER,FL,34428,CITRUS,(352) 795-6560,Acute Care Hospitals,Proprietary
+69031,SLIDELL MEMORIAL HOSPITAL,1001 GAUSE BLVD,SLIDELL,LA,70458,ST. TAMMANY,(985) 643-2200,Acute Care Hospitals,Government - Hospital District or Authority
+57345,HEMET VALLEY MEDICAL CENTER,1117 EAST DEVONSHIRE,HEMET,CA,92543,RIVERSIDE,(951) 652-2811,Acute Care Hospitals,Physician
+68779,CHILD & ADOLESCENT BEHAVIORAL HEALTH SERVICES,1701 TECHNOLOGY DRIVE NE,WILLMAR,MN,56201,KANDIYOHI,(320) 231-5405,Psychiatric,Government - State
+81675,HAYWARD AREA MEMORIAL HOSPITAL,11040 N STATE RD 77,HAYWARD,WI,54843,SAWYER,(715) 934-4321,Critical Access Hospitals,Voluntary non-profit - Private
+67230,OLD VINEYARD YOUTH SERVICES,3637 OLD VINEYARD ROAD,WINSTON SALEM,NC,27104,FORSYTH,(336) 794-3550,Psychiatric,Proprietary
+70899,GROVE CITY MEDICAL CENTER,631 NORTH BROAD STREET EXT.,GROVE CITY,PA,16127,MERCER,(724) 450-7000,Acute Care Hospitals,Voluntary non-profit - Private
+50521,BAPTIST HEALTH MEDICAL CENTER NORTH LITTLE ROCK,3333 SPRINGHILL DRIVE,NORTH LITTLE ROCK,AR,72117,PULASKI,(501) 202-3000,Acute Care Hospitals,Voluntary non-profit - Private
+89547,ST GABRIELS HOSPITAL,815 SOUTHEAST SECOND STREET,LITTLE FALLS,MN,56345,MORRISON,(320) 632-5441,Critical Access Hospitals,Voluntary non-profit - Private
+11476,KENDALL REGIONAL MEDICAL CENTER,11750 BIRD RD,MIAMI,FL,33175,MIAMI-DADE,(305) 223-3000,Acute Care Hospitals,Proprietary
+46115,SOUTHEAST ALABAMA MEDICAL CENTER,1108 ROSS CLARK CIRCLE,DOTHAN,AL,36301,HOUSTON,(334) 793-8701,Acute Care Hospitals,Government - Hospital District or Authority
+72538,GETTYSBURG HOSPITAL,147 GETTYS STREET,GETTYSBURG,PA,17325,ADAMS,(717) 334-2121,Acute Care Hospitals,Voluntary non-profit - Other
+55320,CHILDREN'S HEALTHCARE OF ATLANTA AT SCOTTISH RITE,1001 JOHNSON FERRY ROAD,ATLANTA,GA,30342,FULTON,(404) 785-5252,Childrens,Voluntary non-profit - Other
+55892,MCLAREN NORTHERN MICHIGAN,416 CONNABLE AVE,PETOSKEY,MI,49770,EMMET,(231) 487-4000,Acute Care Hospitals,Voluntary non-profit - Other
+94623,COLLINGSWORTH GENERAL HOSPITAL,1013 15TH ST,WELLINGTON,TX,79095,COLLINGSWORTH,(806) 447-2521,Critical Access Hospitals,Proprietary
+73118,ST FRANCIS HOSPITAL & MEDICAL CENTER,114 WOODLAND STREET,HARTFORD,CT,6105,HARTFORD,(860) 714-4000,Acute Care Hospitals,Voluntary non-profit - Church
+18954,EAST LIVERPOOL CITY HOSPITAL,425 WEST 5TH STREET,EAST LIVERPOOL,OH,43920,COLUMBIANA,(330) 385-7200,Acute Care Hospitals,Voluntary non-profit - Private
+55014,MISSION COMMUNITY HOSPITAL,14850 ROSCOE BLVD,PANORAMA CITY,CA,91402,LOS ANGELES,(818) 904-3100,Acute Care Hospitals,Voluntary non-profit - Private
+85443,FORKS COMMUNITY HOSPITAL,530 BOGACHIEL WAY,FORKS,WA,98331,CLALLAM,(360) 374-6271,Critical Access Hospitals,Government - Hospital District or Authority
+87921,EL PASO CHILDREN'S HOSPITAL,4845 ALAMEDA AVENUE,EL PASO,TX,79905,EL PASO,(915) 521-7148,Childrens,Voluntary non-profit - Private
+15367,DEPT OF STATE HOSPITALS - NAPA,2100 NAPA-VALLEJO HIGHWAY,NAPA,CA,94558,NAPA,(707) 253-5000,Psychiatric,Government - State
+13618,RIVERSIDE SHORE MEMORIAL HOSPITAL,20480 MARKET STREET,ONANCOCK,VA,23417,ACCOMACK,(757) 414-8000,Acute Care Hospitals,Voluntary non-profit - Private
+60139,SHERIDAN COUNTY HOSPITAL,826  18TH STREET,HOXIE,KS,67740,SHERIDAN,(785) 675-3281,Critical Access Hospitals,Government - Local
+83595,TOUCHETTE REGIONAL HOSPITAL INC,5900 BOND AVENUE,CENTREVILLE,IL,62207,ST. CLAIR,(618) 332-3060,Acute Care Hospitals,Voluntary non-profit - Private
+68049,THE BROOK HOSPITAL - DUPONT,1405 BROWNS LANE,LOUISVILLE,KY,40207,JEFFERSON,(502) 896-0495,Psychiatric,Voluntary non-profit - Private
+70551,SAINT JOSEPH BEREA,305 ESTILL STREET,BEREA,KY,40403,MADISON,(859) 986-6500,Critical Access Hospitals,Voluntary non-profit - Private
+65425,VALLEY MEDICAL CENTER,400 S 43RD ST,RENTON,WA,98055,KING,(425) 228-3450,Acute Care Hospitals,Government - Hospital District or Authority
+73061,OCONOMOWOC MEMORIAL HOSPITAL,791 E SUMMIT AVE,OCONOMOWOC,WI,53066,WAUKESHA,(262) 569-9400,Acute Care Hospitals,Voluntary non-profit - Private
+15265,HILL CREST BEHAVIORAL HEALTH SERVICES,6869 FIFTH AVENUE SOUTH,BIRMINGHAM,AL,35212,JEFFERSON,(205) 833-9000,Psychiatric,Proprietary
+61473,ST VINCENT CLAY HOSPITAL INC,1206 E NATIONAL AVE,BRAZIL,IN,47834,CLAY,(812) 442-2500,Critical Access Hospitals,Voluntary non-profit - Private
+12299,WHITTIER PAVILION,76 SUMMER STREET,HAVERHILL,MA,1830,ESSEX,(978) 373-8222,Psychiatric,Proprietary
+89880,ST VINCENT SALEM HOSPITAL INC,911 N SHELBY ST,SALEM,IN,47167,WASHINGTON,(812) 883-5881,Critical Access Hospitals,Voluntary non-profit - Private
+20183,"SOUTHSIDE COMMUNITY HOSPITAL, INC",800 OAK STREET,FARMVILLE,VA,23901,PRINCE EDWARD,(434) 392-8811,Acute Care Hospitals,Voluntary non-profit - Other
+33501,WAYNE MEMORIAL HOSPITAL,865 SOUTH FIRST STREET,JESUP,GA,31545,WAYNE,(912) 530-3302,Acute Care Hospitals,Government - Hospital District or Authority
+36666,MONTEFIORE MEDICAL CENTER,111 EAST 210TH STREET,BRONX,NY,10467,BRONX,(718) 920-4321,Acute Care Hospitals,Voluntary non-profit - Private
+10215,CLARKE COUNTY HOSPITAL,800 S FILLMORE ST,OSCEOLA,IA,50213,CLARKE,(641) 342-2184,Critical Access Hospitals,Voluntary non-profit - Other
+34909,KAISER FOUNDATION HOSPITAL - SACRAMENTO,2025 MORSE AVENUE,SACRAMENTO,CA,95825,SACRAMENTO,(916) 973-5000,Acute Care Hospitals,Voluntary non-profit - Private
+57416,PRISMA HEALTH GREER MEMORIAL HOSPITAL,830 SOUTH BUNCOMBE ROAD,GREER,SC,29650,GREENVILLE,(864) 848-8200,Acute Care Hospitals,Voluntary non-profit - Private
+31874,RIVER PLACE BEHAVIORAL HEALTH,500 RUE DE SANTE,LA PLACE,LA,70068,ST. JOHN BAPTIST,(985) 444-5100,Psychiatric,Proprietary
+76839,DOCTORS HOSPITAL OF RIVERSIDE,3865 JACKSON STREET,RIVERSIDE,CA,92503,RIVERSIDE,(951) 688-2211,Acute Care Hospitals,Voluntary non-profit - Private
+76511,BETH ISRAEL DEACONESS HOSPITAL-MILTON INC,199 REEDSDALE ROAD,MILTON,MA,2186,NORFOLK,(617) 696-4600,Acute Care Hospitals,Government - Federal
+73448,ASCENSION RIVER DISTRICT HOSPITAL,4100 RIVER RD,EAST CHINA,MI,48054,ST. CLAIR,(810) 329-7111,Acute Care Hospitals,Government - Hospital District or Authority
+34707,CHILDREN'S MERCY HOSPITAL KANSAS,5808 W 110TH STREET,OVERLAND PARK,KS,66211,JOHNSON,(913) 234-3000,Childrens,Voluntary non-profit - Private
+76252,BELMONT PINES HOSPITAL,615 CHURCHILL-HUBBARD RD,YOUNGSTOWN,OH,44505,MAHONING,(330) 759-2700,Psychiatric,Proprietary
+46528,WILCOX MEMORIAL HOSPITAL,3-3420 KUHIO HIGHWAY,LIHUE,HI,96766,KAUAI,(808) 245-1103,Acute Care Hospitals,Government - Federal
+29799,NORTHLAKE BEHAVIORAL HEALTH SYSTEM,23515 HIGHWAY 190,MANDEVILLE,LA,70448,ST. TAMMANY,(985) 626-6300,Psychiatric,Voluntary non-profit - Private
+32023,BUCKTAIL MEDICAL CENTER,1001 PINE STREET,RENOVO,PA,17764,CLINTON,(570) 923-1000,Critical Access Hospitals,Voluntary non-profit - Private
+74010,UNIVERSITY OF TOLEDO MEDICAL CENTER,3000 ARLINGTON AVENUE,TOLEDO,OH,43699,LUCAS,(419) 383-4848,Acute Care Hospitals,Government - State
+80599,SPOTSYLVANIA REGIONAL MEDICAL CENTER,4600 SPOTSYLVANIA PARKWAY,FREDERICKSBURG,VA,22408,SPOTSYLVANIA,(540) 498-4000,Acute Care Hospitals,Proprietary
+81487,"ASCENSION VIA CHRISTI HOSPITAL MANHATTAN, INC",1823 COLLEGE AVE,MANHATTAN,KS,66502,RILEY,(785) 776-2831,Acute Care Hospitals,Voluntary non-profit - Church
+38506,JONES MEMORIAL HOSPITAL,191 NORTH MAIN STREET,WELLSVILLE,NY,14895,ALLEGANY,(585) 593-1100,Acute Care Hospitals,Voluntary non-profit - Private
+56608,ZUCKERBERG SAN FRANCISCO GENERAL HOSP & TRAUMA CTR,1001 POTRERO AVENUE,SAN FRANCISCO,CA,94110,SAN FRANCISCO,(415) 206-8000,Acute Care Hospitals,Government - Local
+52309,BROWARD HEALTH CORAL SPRINGS,3000 CORAL HILLS DR,CORAL SPRINGS,FL,33065,BROWARD,(954) 344-3000,Acute Care Hospitals,Government - Hospital District or Authority
+87807,ORO VALLEY HOSPITAL,1551 EAST TANGERINE ROAD,ORO VALLEY,AZ,85755,PIMA,(520) 901-3549,Acute Care Hospitals,Proprietary
+28517,MENTAL HEALTH SERVICES FOR CLARK AND MADISON COS,474 NORTH YELLOW SPRINGS STREET,SPRINGFIELD,OH,45504,CLARK,(937) 399-9500,Psychiatric,Proprietary
+40538,LANAI COMMUNITY HOSPITAL,628 7TH STREET,LANAI CITY,HI,96763,MAUI,(808) 565-8450,Critical Access Hospitals,Government - State
+44764,TYLER MEMORIAL HOSPITAL,5950 STATE ROUTE 6 WEST,TUNKHANNOCK,PA,18657,WYOMING,(570) 836-2161,Acute Care Hospitals,Proprietary
+56287,DIMMIT REGIONAL HOSPITAL,704 HOSPITAL DRIVE,CARRIZO SPRINGS,TX,78834,DIMMIT,(830) 876-2424,Critical Access Hospitals,Voluntary non-profit - Other
+46557,EISENHOWER MEDICAL CENTER,39-000 BOB HOPE DRIVE,RANCHO MIRAGE,CA,92270,RIVERSIDE,(760) 340-3911,Acute Care Hospitals,Proprietary
+86758,ST LUKE'S HOSPITAL - MONROE CAMPUS,100 ST LUKE'S LANE,STROUDSBURG,PA,18360,MONROE,(272) 212-1000,Acute Care Hospitals,Voluntary non-profit - Private
+73278,PUTNAM GENERAL HOSPITAL,101 LAKE OCONEE PARKWAY,EATONTON,GA,31024,PUTNAM,(706) 485-2711,Critical Access Hospitals,Government - Hospital District or Authority
+87100,MUNSON HEALTHCARE GRAYLING HOSPITAL,1100 E MICHIGAN AVE,GRAYLING,MI,49738,CRAWFORD,(989) 348-5461,Acute Care Hospitals,Voluntary non-profit - Church
+63576,MAYO CLINIC HEALTH SYSTEM - LAKE CITY,500 WEST GRANT STREET,LAKE CITY,MN,55041,WABASHA,(651) 345-5955,Critical Access Hospitals,Voluntary non-profit - Private
+54287,PROVIDENCE TARZANA MEDICAL CENTER,18321 CLARK STREET,TARZANA,CA,91356,LOS ANGELES,(818) 881-0800,Acute Care Hospitals,Voluntary non-profit - Private
+13730,CARSON VALLEY MEDICAL CENTER,1107 HIGHWAY 395,GARDNERVILLE,NV,89410,DOUGLAS,(775) 782-1500,Critical Access Hospitals,Voluntary non-profit - Private
+34826,SOUTHWEST MEMORIAL HOSPITAL,1311 N MILDRED RD,CORTEZ,CO,81321,MONTEZUMA,(970) 565-6666,Critical Access Hospitals,Voluntary non-profit - Private
+81248,ST JUDE CHILDRENS RESEARCH HOSPITAL,262 DANNY THOMAS PLACE,MEMPHIS,TN,38105,SHELBY,(901) 495-3300,Childrens,Voluntary non-profit - Private
+15435,SALEM MEDICAL CENTER,310 WOODSTOWN ROAD,SALEM,NJ,8079,SALEM,(856) 935-1000,Acute Care Hospitals,Voluntary non-profit - Private
+91012,SAINT JOSEPH EAST,150 NORTH EAGLE CREEK DRIVE,LEXINGTON,KY,40509,FAYETTE,(859) 967-5000,Acute Care Hospitals,Voluntary non-profit - Private
+11719,LAKE BUTLER HOSPITAL,850 E MAIN ST,LAKE BUTLER,FL,32054,UNION,(386) 496-2323,Critical Access Hospitals,Proprietary
+84711,LAWRENCE GENERAL HOSPITAL,ONE GENERAL STREET,LAWRENCE,MA,1842,ESSEX,(978) 683-4000,Acute Care Hospitals,Voluntary non-profit - Private
+93309,MAINE MEDICAL CENTER,22 BRAMHALL ST,PORTLAND,ME,4102,CUMBERLAND,(207) 662-0111,Acute Care Hospitals,Voluntary non-profit - Private
+45990,COMMUNITY HOSPITAL,"P O BOX 1328, 1301 EAST H ST",MCCOOK,NE,69001,RED WILLOW,(308) 344-2650,Critical Access Hospitals,Voluntary non-profit - Other
+30767,OPTIONS BEHAVIORAL HEALTH SYSTEM,5602 CAITO DRIVE,INDIANAPOLIS,IN,46226,MARION,(317) 544-4340,Psychiatric,Proprietary
+34882,ST AGNES HOSPITAL,430 E DIVISION ST,FOND DU LAC,WI,54935,FOND DU LAC,(920) 929-2300,Acute Care Hospitals,Voluntary non-profit - Private
+76342,MINERAL COMMUNITY HOSPITAL,1208 6TH AVE E,SUPERIOR,MT,59872,MINERAL,(406) 822-4841,Critical Access Hospitals,Voluntary non-profit - Private
+27752,HAMMOND HENRY HOSPITAL,600 N COLLEGE AVENUE,GENESEO,IL,61254,HENRY,(309) 944-6431,Critical Access Hospitals,Government - Hospital District or Authority
+40973,KANAKANAK HOSPITAL,P O BOX 130,DILLINGHAM,AK,99576,DILLINGHAM,(907) 842-5201,Critical Access Hospitals,Voluntary non-profit - Private
+30486,OCEANS BEHAVIORAL HOSPITAL OF GREATER NEW ORLEANS,716 VILLAGE ROAD,KENNER,LA,70065,JEFFERSON,(504) 464-8895,Psychiatric,Proprietary
+68892,BELLIN HEALTH OCONTO HOSPITAL,820 ARBUTUS AVE,OCONTO,WI,54153,OCONTO,(920) 835-1101,Critical Access Hospitals,Voluntary non-profit - Private
+94065,NEW YORK STATE PSYCHIATRIC INSTITUTE,722 W 168TH ST,NEW YORK,NY,10032,NEW YORK,(212) 543-5000,Psychiatric,Government - State
+45360,AURORA MEDICAL CENTER,975 PORT WASHINGTON ROAD,GRAFTON,WI,53024,OZAUKEE,(262) 329-1000,Acute Care Hospitals,Voluntary non-profit - Private
+42531,REGIONAL HEALTH SPEARFISH HOSPITAL,1440 N MAIN ST,SPEARFISH,SD,57783,LAWRENCE,(605) 644-4000,Acute Care Hospitals,Voluntary non-profit - Private
+82570,BROWNFIELD REGIONAL MEDICAL CENTER,705 EAST FELT STREET,BROWNFIELD,TX,79316,TERRY,(806) 637-3551,Acute Care Hospitals,Government - Hospital District or Authority
+36067,PARKRIDGE MEDICAL CENTER,2333 MCCALLIE AVE,CHATTANOOGA,TN,37404,HAMILTON,(423) 894-4220,Acute Care Hospitals,Proprietary
+92266,OCEAN VIEW PSYCHIATRIC HEALTH FACILITY,"2600 REDONDO AVENUE, SUITE 500",LONG BEACH,CA,90806,LOS ANGELES,(714) 614-0474,Psychiatric,Proprietary
+62200,CASTLE ROCK ADVENTIST HOSPITAL,2350 MEADOWS BLVD,CASTLE ROCK,CO,80109,DOUGLAS,(720) 455-2500,Acute Care Hospitals,Voluntary non-profit - Private
+53295,BROOKE GLEN BEHAVIORAL HOSPITAL,7170 LAFAYETTE AVENUE,FORT WASHINGTON,PA,19034,MONTGOMERY,(215) 641-5300,Psychiatric,Voluntary non-profit - Private
+51757,RUSH OAK PARK HOSPITAL,520 S MAPLE AVE,OAK PARK,IL,60304,COOK,(708) 383-9300,Acute Care Hospitals,Voluntary non-profit - Church
+40280,OWENSBORO HEALTH REGIONAL HOSPITAL,1201 PLEASANT VALLEY ROAD,OWENSBORO,KY,42303,DAVIESS,(270) 417-2000,Acute Care Hospitals,Voluntary non-profit - Private
+75124,SILOAM SPRINGS REGIONAL HOSPITAL,603 NORTH PROGRESS AVENUE,SILOAM SPRINGS,AR,72761,BENTON,(479) 524-4141,Acute Care Hospitals,Voluntary non-profit - Other
+71534,"DEWITT HOSPITAL & NURSING HOME, INC",1641 WHITEHEAD DRIVE,DE WITT,AR,72042,ARKANSAS,(870) 946-3571,Critical Access Hospitals,Voluntary non-profit - Private
+29291,BAYSTATE NOBLE HOSPITAL,115 WEST SILVER STREET,WESTFIELD,MA,1085,HAMPDEN,(413) 568-2811,Acute Care Hospitals,Voluntary non-profit - Private
+75351,MERIT HEALTH RIVER OAKS,1030 RIVER OAKS DRIVE,FLOWOOD,MS,39232,RANKIN,(601) 932-1030,Acute Care Hospitals,Proprietary
+73558,AU MEDICAL CENTER,1120 15TH STREET,AUGUSTA,GA,30912,RICHMOND,(706) 721-6569,Acute Care Hospitals,Voluntary non-profit - Other
+71341,PROVIDENCE MILWAUKIE HOSPITAL,10150 SE 32ND AVENUE,MILWAUKIE,OR,97222,CLACKAMAS,(503) 513-8336,Acute Care Hospitals,Voluntary non-profit - Church
+47570,JOHNSON CITY MEDICAL CENTER,400 N STATE OF FRANKLIN RD,JOHNSON CITY,TN,37604,WASHINGTON,(423) 431-6111,Acute Care Hospitals,Voluntary non-profit - Private
+79132,DAHL MEMORIAL HEALTHCARE ASSOC,215 SANDY ST,EKALAKA,MT,59324,CARTER,(406) 775-8739,Critical Access Hospitals,Voluntary non-profit - Private
+34409,TEMPLE UNIVERSITY HOSPITAL,3401 NORTH BROAD STREET,PHILADELPHIA,PA,19140,PHILADELPHIA,(215) 707-2000,Acute Care Hospitals,Voluntary non-profit - Private
+57924,ST VINCENT HEART CENTER OF INDIANA LLC,10580 N MERIDIAN ST,INDIANAPOLIS,IN,46290,HAMILTON,(317) 583-5000,Acute Care Hospitals,Proprietary
+60486,OKLAHOMA CENTER FOR ORTHOPAEDIC & MULTI-SP,8100 SOUTH WALKER BLDG C,OKLAHOMA CITY,OK,73139,OKLAHOMA,(405) 602-6500,Acute Care Hospitals,Proprietary
+33320,H C WATKINS MEMORIAL HOSPITAL INC,605 SOUTH ARCHUSA AVENUE,QUITMAN,MS,39355,CLARKE,(601) 776-6925,Critical Access Hospitals,Voluntary non-profit - Other
+25973,WOODLAND HEIGHTS MEDICAL CENTER,505 SOUTH JOHN REDDITT DRIVE,LUFKIN,TX,75904,ANGELINA,(936) 634-8311,Acute Care Hospitals,Proprietary
+57336,EASTERN OKLAHOMA MEDICAL CENTER,105 WALL STREET,POTEAU,OK,74953,LE FLORE,(918) 647-8161,Critical Access Hospitals,Government - Hospital District or Authority
+48644,MURRAY COUNTY MEMORIAL HOSPITAL,2042 JUNIPER AVENUE,SLAYTON,MN,56172,MURRAY,(507) 836-6111,Critical Access Hospitals,Government - Local
+13304,MOUNT SINAI SOUTH NASSAU,ONE HEALTHY WAY,OCEANSIDE,NY,11572,NASSAU,(516) 632-3000,Acute Care Hospitals,Voluntary non-profit - Private
+18793,HELEN NEWBERRY JOY HOSPITAL,502 W HARRIE ST,NEWBERRY,MI,49868,LUCE,(906) 293-9200,Critical Access Hospitals,Government - Local
+62297,FOUNDATION SURGICAL HOSPITAL OF SAN ANTONIO,9522 HUEBNER ROAD,SAN ANTONIO,TX,78240,BEXAR,(210) 478-5400,Acute Care Hospitals,Proprietary
+37640,PRINCETON COMMUNITY HOSPITAL,122 12TH STREET,PRINCETON,WV,24740,MERCER,(304) 487-7260,Acute Care Hospitals,Government - Local
+61150,"ASPIRUS IRON RIVER HOSPITAL & CLINICS, INC",1400 W ICE LAKE ROAD,IRON RIVER,MI,49935,IRON,(906) 265-6121,Critical Access Hospitals,Voluntary non-profit - Other
+83219,WARREN MEMORIAL HOSPITAL,905 SECOND ST,FRIEND,NE,68359,SALINE,(402) 947-2541,Critical Access Hospitals,Government - Local
+62943,MADISON PARISH HOSPITAL,900 JOHNSON STREET,TALLULAH,LA,71282,MADISON,(318) 574-2374,Critical Access Hospitals,Government - Hospital District or Authority
+10519,EASTERN STATE HOSPITAL,1350 BULL LEA ROAD,LEXINGTON,KY,40511,FAYETTE,(859) 246-8000,Psychiatric,Voluntary non-profit - Private
+93258,UHHS RICHMOND HEIGHTS HOSPITAL,27100 CHARDON ROAD,RICHMOND HEIGHTS,OH,44143,CUYAHOGA,(440) 585-6170,Acute Care Hospitals,Proprietary
+68293,RIVEREDGE HOSPITAL,8311 WEST ROOSEVELT ROAD,FOREST PARK,IL,60130,COOK,(708) 771-7000,Psychiatric,Proprietary
+92057,WAMEGO HEALTH CENTER,711 GENN DRIVE,WAMEGO,KS,66547,POTTAWATOMIE,(785) 456-2295,Critical Access Hospitals,Voluntary non-profit - Other
+26170,ATRIUM HEALTH UNIVERSITY CITY,8800 NORTH TYRON STREET,CHARLOTTE,NC,28262,MECKLENBURG,(704) 548-6000,Acute Care Hospitals,Government - Hospital District or Authority
+64202,"UNIVERSITY OF CINCINNATI MEDICAL CENTER, LLC",234 GOODMAN STREET,CINCINNATI,OH,45219,HAMILTON,(513) 584-1000,Acute Care Hospitals,Voluntary non-profit - Private
+84536,WILLOW CREEK BEHAVIORAL HEALTH,1351 ONTARIO RD,GREEN BAY,WI,54311,BROWN,(901) 328-1220,Psychiatric,Proprietary
+56888,GREAT RIVER MEDICAL CENTER,1221 SOUTH GEAR AVENUE,WEST BURLINGTON,IA,52655,DES MOINES,(319) 768-1000,Acute Care Hospitals,Voluntary non-profit - Private
+75837,ST JOHN'S EPISCOPAL HOSPITAL AT SOUTH SHORE,327 BEACH 19TH STREET,FAR ROCKAWAY,NY,11691,QUEENS,(718) 869-7000,Acute Care Hospitals,Voluntary non-profit - Church
+77083,CAROLINAS HEALTHCARE SYSTEM-BLUE RIDGE,2201 S STERLING ST,MORGANTON,NC,28655,BURKE,(828) 580-5000,Acute Care Hospitals,Proprietary
+70555,ASCENSION SACRED HEART GULF,3801 E HWY 98,PORT SAINT JOE,FL,32456,GULF,(850) 229-5600,Acute Care Hospitals,Voluntary non-profit - Private
+92367,CUYUNA REGIONAL MEDICAL CENTER,320 EAST MAIN STREET,CROSBY,MN,56441,CROW WING,(218) 546-2300,Critical Access Hospitals,Government - Hospital District or Authority
+37969,NEWTON MEDICAL CENTER,175 HIGH ST,NEWTON,NJ,7860,SUSSEX,(973) 579-8300,Acute Care Hospitals,Voluntary non-profit - Private
+19377,"BEHAVIORAL HEALTHCARE CENTER AT MEMPHIS, INC",1505 N SECOND STREET,MEMPHIS,TN,38107,SHELBY,(901) 791-0600,Psychiatric,Proprietary
+54024,ALBANY MEDICAL CENTER HOSPITAL,"43 NEW SCOTLAND AVENUE, MAIL CODE 34",ALBANY,NY,12208,ALBANY,(518) 262-2400,Acute Care Hospitals,Voluntary non-profit - Private
+77631,SAINT ROSE DOMINICAN HOSPITALS - ROSE DE LIMA,102 E LAKE MEAD DR,HENDERSON,NV,89015,CLARK,(702) 616-5000,Acute Care Hospitals,Voluntary non-profit - Church
+87904,OCH REGIONAL MEDICAL CENTER,400 HOSPITAL ROAD /MAIL PO BOX 1506,STARKVILLE,MS,39759,OKTIBBEHA,(662) 323-4320,Acute Care Hospitals,Government - Local
+14586,SOUTH TEXAS SURGICAL HOSPITAL,6130 PARKWAY DRIVE,CORPUS CHRISTI,TX,78414,NUECES,(361) 993-2000,Acute Care Hospitals,Proprietary
+57811,MASON DISTRICT HOSPITAL,"615 NORTH PROMENADE STREET,P O BOX 530",HAVANA,IL,62644,MASON,(309) 543-4431,Critical Access Hospitals,Government - Hospital District or Authority
+42503,CHI ST ALEXIUS HEALTH,900 E BROADWAY,BISMARCK,ND,58501,BURLEIGH,(701) 530-7000,Acute Care Hospitals,Voluntary non-profit - Church
+72631,MERCY HARVARD HOSPITAL,901 S GRANT STREET,HARVARD,IL,60033,MC HENRY,(815) 943-5431,Critical Access Hospitals,Voluntary non-profit - Private
+89910,ADVENTIST HEALTH ST HELENA,10 WOODLAND ROAD,SAINT HELENA,CA,94574,NAPA,(707) 963-3611,Acute Care Hospitals,Voluntary non-profit - Private
+66531,RENOWN REGIONAL MEDICAL CENTER,1155 MILL STREET,RENO,NV,89502,WASHOE,(775) 982-4100,Acute Care Hospitals,Voluntary non-profit - Private
+31625,ADAMS MEMORIAL HOSPITAL,1100 MERCER AVE,DECATUR,IN,46733,ADAMS,(260) 724-2145,Critical Access Hospitals,Government - Local
+54454,CUMBERLAND COUNTY HOSPITAL,299 GLASGOW ROAD,BURKESVILLE,KY,42717,CUMBERLAND,(270) 864-2511,Critical Access Hospitals,Government - Local
+70251,ASCENSION SETON EDGAR B DAVIS,130 HAYS STREET,LULING,TX,78648,CALDWELL,(830) 875-7000,Critical Access Hospitals,Voluntary non-profit - Private
+81771,MOSES TAYLOR HOSPITAL,700 QUINCY AVENUE,SCRANTON,PA,18510,LACKAWANNA,(570) 340-2100,Acute Care Hospitals,Proprietary
+62063,NEWTON-WELLESLEY HOSPITAL,2014 WASHINGTON STREET,NEWTON,MA,2462,MIDDLESEX,(617) 243-6000,Acute Care Hospitals,Voluntary non-profit - Other
+44081,DAVIS HOSPITAL AND MEDICAL CENTER,1600 WEST ANTELOPE DRIVE,LAYTON,UT,84041,DAVIS,(801) 807-7001,Acute Care Hospitals,Proprietary
+26536,UPMC SOMERSET,225 SOUTH CENTER AVENUE,SOMERSET,PA,15501,SOMERSET,(814) 443-5000,Acute Care Hospitals,Voluntary non-profit - Private
+13131,HUDSON COUNTY MEADOWVIEW PSYCHIATRIC H,595 COUNTY AVENUE,SECAUCUS,NJ,7094,HUDSON,(201) 369-5252,Psychiatric,Government - Local
+51005,LINCOLN COMMUNITY HOSPITAL,111 6TH ST,HUGO,CO,80821,LINCOLN,(719) 743-2421,Critical Access Hospitals,Voluntary non-profit - Other
+24851,HABERSHAM COUNTY MEDICAL CTR,541 HISTORIC HIGHWAY 441-NORTH,DEMOREST,GA,30535,HABERSHAM,(706) 754-2161,Acute Care Hospitals,Government - Hospital District or Authority
+66333,SSM HEALTH ST JOSEPH HOSPITAL-ST CHARLES,300 1ST CAPITOL DR,SAINT CHARLES,MO,63301,ST. CHARLES,(636) 947-5000,Acute Care Hospitals,Voluntary non-profit - Private
+84090,RUSH MEMORIAL HOSPITAL,1300 N MAIN ST,RUSHVILLE,IN,46173,RUSH,(765) 932-7513,Critical Access Hospitals,Government - Local
+84100,MERCY HOSPITAL ST LOUIS,615 NEW BALLAS ROAD,SAINT LOUIS,MO,63141,ST. LOUIS,(314) 569-6000,Acute Care Hospitals,Voluntary non-profit - Private
+59316,GLENWOOD REGIONAL MEDICAL CENTER,503 MCMILLAN ROAD,WEST MONROE,LA,71291,OUACHITA,(318) 329-4600,Acute Care Hospitals,Proprietary
+87598,HERITAGE VALLEY BEAVER,1000 DUTCH RIDGE ROAD,BEAVER,PA,15009,BEAVER,(412) 728-7000,Acute Care Hospitals,Voluntary non-profit - Private
+50165,THEDACARE MEDICAL CENTER - WILD ROSE INC,601 GROVE AVE,WILD ROSE,WI,54984,WAUSHARA,(920) 622-3257,Critical Access Hospitals,Voluntary non-profit - Private
+92613,ASTRIA REGIONAL MEDICAL CENTER,110 SOUTH NINTH AVE,YAKIMA,WA,98902,YAKIMA,(509) 575-5102,Acute Care Hospitals,Proprietary
+56456,ST VINCENT'S EAST,50 MEDICAL PARK EAST DRIVE,BIRMINGHAM,AL,35235,JEFFERSON,(205) 838-3122,Acute Care Hospitals,Voluntary non-profit - Private
+65206,SUSAN B ALLEN MEMORIAL HOSPITAL,720 W CENTRAL ST,EL DORADO,KS,67042,BUTLER,(316) 321-3300,Acute Care Hospitals,Voluntary non-profit - Private
+24758,GILA REGIONAL MEDICAL CENTER,1313 E 32ND ST,SILVER CITY,NM,88061,GRANT,(575) 538-4100,Acute Care Hospitals,Government - Hospital District or Authority
+39744,MEMORIAL HOSPITAL,224 E SECOND STREET,DUMAS,TX,79029,MOORE,(806) 935-7171,Critical Access Hospitals,Government - Hospital District or Authority
+29414,HOUSTON METHODIST WILLOWBROOK HOSPITAL,18220 TOMBALL PARKWAY,HOUSTON,TX,77070,HARRIS,(281) 477-1000,Acute Care Hospitals,Voluntary non-profit - Private
+51198,MORTON PLANT NORTH BAY HOSPITAL,6600 MADISON ST,NEW PORT RICHEY,FL,34652,PASCO,(727) 842-8468,Acute Care Hospitals,Voluntary non-profit - Private
+11416,"MEMORIAL HOSPITAL, THE",3073 WHITE MOUNTAIN HIGHWAY,NORTH CONWAY,NH,3860,CARROLL,(603) 356-5461,Critical Access Hospitals,Voluntary non-profit - Private
+23112,NORTH HAWAII COMMUNITY HOSPITAL,67 1125 MAMALAHOA HIGHWAY,KAMUELA,HI,96743,HAWAII,(808) 885-4444,Acute Care Hospitals,Voluntary non-profit - Private
+57681,LOMA LINDA UNIVERSITY MEDICAL CENTER,11234 ANDERSON ST,LOMA LINDA,CA,92354,SAN BERNARDINO,(909) 558-4000,Acute Care Hospitals,Voluntary non-profit - Private
+35833,MT EDGECUMBE HOSPITAL,222 TONGASS DR,SITKA,AK,99835,SITKA BOROUGH,(907) 966-2411,Critical Access Hospitals,Voluntary non-profit - Private
+93194,OCEANS BEHAVIORAL HOSPITAL OF LAKE CHARLES,4250 FIFTH AVENUE,LAKE CHARLES,LA,70607,CALCASIEU,(337) 474-7581,Psychiatric,Proprietary
+50487,THEDACARE MEDICAL CENTER - BERLIN INC,225 MEMORIAL DRIVE,BERLIN,WI,54923,GREEN LAKE,(920) 361-1313,Critical Access Hospitals,Voluntary non-profit - Private
+32853,SOUTHCOAST BEHAVIORAL HEALTH,581 FAUNCE CORNER ROAD,DARTMOUTH,MA,2747,BRISTOL,(615) 861-6000,Psychiatric,Proprietary
+67298,BAPTIST HEALTH MEDICAL CENTER-HOT SPRINGS COUNTY,1001 SCHNEIDER DRIVE,MALVERN,AR,72104,HOT SPRING,(501) 332-1000,Acute Care Hospitals,Voluntary non-profit - Private
+18196,PORTER-STARKE SERVICES INC,701 WALL ST,VALPARAISO,IN,46383,PORTER,(219) 531-3500,Psychiatric,Voluntary non-profit - Private
+47385,SOUTHEASTERN REGIONAL MEDICAL CENTER,600 CELEBRATE LIFE PARKWAY,NEWNAN,GA,30265,COWETA,(404) 844-8334,Acute Care Hospitals,Proprietary
+59770,KAISER FOUNDATION HOSPITAL FONTANA,9961 SIERRA AVE,FONTANA,CA,92335,SAN BERNARDINO,(909) 427-5500,Acute Care Hospitals,Voluntary non-profit - Private
+67915,KATHERINE SHAW BETHEA HOSPITAL,403 E 1ST ST,DIXON,IL,61021,LEE,(815) 288-5531,Acute Care Hospitals,Voluntary non-profit - Private
+48097,BAYFRONT HEALTH BROOKSVILLE,17240 CORTEZ BLVD,BROOKSVILLE,FL,34601,HERNANDO,(352) 796-5111,Acute Care Hospitals,Voluntary non-profit - Church
+33455,TENNOVA HEALTHCARE-NORTH KNOXVILLE MEDICAL CENTER,7565 DANNAHER WAY POWELL,POWELL,TN,37849,KNOX,(865) 545-8000,Acute Care Hospitals,Proprietary
+15262,CODY REGIONAL HEALTH,707 SHERIDAN AVENUE,CODY,WY,82414,PARK,(307) 578-2488,Critical Access Hospitals,Government - Hospital District or Authority
+76905,ST MARY MEDICAL CENTER,18300 HIGHWAY 18,APPLE VALLEY,CA,92307,SAN BERNARDINO,(760) 242-2311,Acute Care Hospitals,Voluntary non-profit - Private
+40526,ALVARADO PARKWAY INSTITUTE BEHAVIORAL HEALTH SYSTE,7050 PARKWAY DRIVE,LA MESA,CA,91942,SAN DIEGO,(619) 465-4411,Psychiatric,Voluntary non-profit - Private
+64306,TOWNER COUNTY MEDICAL CENTER,HWY 281 N,CANDO,ND,58324,TOWNER,(701) 968-4411,Critical Access Hospitals,Voluntary non-profit - Private
+32809,KAISER FOUNDATION HOSPITAL - REDWOOD CITY,1100 VETERANS BOULEVARD,REDWOOD CITY,CA,94063,SAN MATEO,(650) 299-2000,Acute Care Hospitals,Voluntary non-profit - Private
+84785,"CAROLINA CTR FOR BEHAVIORAL HEALTH,THE",2700 E PHILLIPS RD,GREER,SC,29650,GREENVILLE,(864) 235-2335,Psychiatric,Proprietary
+37973,SCHOOLCRAFT MEMORIAL HOSPITAL,7870W US HIGHWAY 2,MANISTIQUE,MI,49854,SCHOOLCRAFT,(906) 341-3200,Critical Access Hospitals,Government - Local
+87610,TECHE REGIONAL MEDICAL CENTER,1125 MARGUERITE STREET,MORGAN CITY,LA,70380,ST. MARY,(985) 384-2200,Acute Care Hospitals,Proprietary
+91754,HAMILTON COUNTY HOSPITAL,700 NORTH HUSER,SYRACUSE,KS,67878,HAMILTON,(620) 384-7461,Critical Access Hospitals,Government - Local
+36868,ASCENSION SETON NORTHWEST,11113 RESEARCH BOULEVARD,AUSTIN,TX,78759,TRAVIS,(512) 324-6000,Acute Care Hospitals,Voluntary non-profit - Private
+84623,SHODAIR CHILDREN'S HOSPITAL,2755 COLONIAL DR,HELENA,MT,59601,LEWIS AND CLARK,(406) 444-7500,Psychiatric,Voluntary non-profit - Private
+12551,PHYSICIANS' MEDICAL CENTER LLC,4023 REAS LN,NEW ALBANY,IN,47150,FLOYD,(812) 206-7660,Acute Care Hospitals,Physician
+81217,ROGERS MEMORIAL HOSPITAL,34700 VALLEY RD,OCONOMOWOC,WI,53066,WAUKESHA,(262) 646-4411,Psychiatric,Voluntary non-profit - Private
+23700,ORCHARD HOSPITAL,240 SPRUCE STREET,GRIDLEY,CA,95948,BUTTE,(530) 846-5671,Critical Access Hospitals,Voluntary non-profit - Private
+28707,HORN MEMORIAL HOSPITAL,701 E 2ND ST,IDA GROVE,IA,51445,IDA,(712) 364-3311,Critical Access Hospitals,Voluntary non-profit - Private
+38348,BAYLOR MEDICAL CENTER AT TROPHY CLUB,2850  E STATE HIGHWAY 114,TROPHY CLUB,TX,76262,DENTON,(817) 837-4600,Acute Care Hospitals,Proprietary
+71713,ST JOSEPH MEDICAL CENTER,1401 ST. JOSEPH PARKWAY,HOUSTON,TX,77002,HARRIS,(713) 757-1000,Acute Care Hospitals,Proprietary
+14608,YAKIMA VALLEY MEMORIAL HOSPITAL,2811 TIETON DRIVE,YAKIMA,WA,98902,YAKIMA,(509) 575-8000,Acute Care Hospitals,Voluntary non-profit - Private
+74703,CROSSRIDGE COMMUNITY HOSPITAL,310 SOUTH FALLS BOULEVARD,WYNNE,AR,72396,CROSS,(870) 238-3300,Critical Access Hospitals,Voluntary non-profit - Private
+60681,JOYCE EISENBERG KEEFER MEDICAL CENTER,7150 TAMPA AVENUE,RESEDA,CA,91335,LOS ANGELES,(818) 774-3314,Psychiatric,Voluntary non-profit - Private
+62739,MIDWESTERN REGION MED CENTER,2520 ELISHA AVENUE,ZION,IL,60099,LAKE,(847) 872-4561,Acute Care Hospitals,Proprietary
+51151,"ST. LUKE'S BEHAVIORAL HOSPITAL, LP",1800 EAST VAN BUREN,PHOENIX,AZ,85006,MARICOPA,(602) 251-8535,Psychiatric,Proprietary
+16585,"MARTIN LUTHER KING, JR. COMMUNITY HOSPITAL",1680 EAST 120TH STREET,LOS ANGELES,CA,90059,LOS ANGELES,(424) 835-6808,Acute Care Hospitals,Voluntary non-profit - Private
+71899,HARRIS CTY PSYCHIATRIC CTR,2800 MACGREGOR WAY,HOUSTON,TX,77021,HARRIS,(713) 741-5000,Psychiatric,Government - State
+40154,ST FRANCIS HOSPITAL,1215 FRANCISCAN DR,LITCHFIELD,IL,62056,MONTGOMERY,(217) 324-2191,Critical Access Hospitals,Voluntary non-profit - Church
+54307,BAPTIST BEAUMONT HOSPITAL,3080 COLLEGE STREET,BEAUMONT,TX,77701,JEFFERSON,(409) 212-5012,Acute Care Hospitals,Voluntary non-profit - Private
+51515,NORTHWEST HILLS SURGICAL HOSPITAL,6818 AUSTIN CTR BLVD SUITE 100,AUSTIN,TX,78731,TRAVIS,(512) 346-1994,Acute Care Hospitals,Proprietary
+77735,ADVENTHEALTH ZEPHYRHILLS,7050 GALL BLVD,ZEPHYRHILLS,FL,33541,PASCO,(813) 788-0411,Acute Care Hospitals,Voluntary non-profit - Church
+13006,THE MOSES H CONE MEMORIAL HOSPITAL,1200 N ELM ST,GREENSBORO,NC,27401,GUILFORD,(336) 832-7000,Acute Care Hospitals,Voluntary non-profit - Private
+82907,WISE REGIONAL HEALTH SYSTEM,609 MEDICAL CENTER DRIVE,DECATUR,TX,76234,WISE,(940) 627-5921,Acute Care Hospitals,Government - Hospital District or Authority
+35061,BROOKS COUNTY HOSPITAL,903 N COURT STREET,QUITMAN,GA,31643,BROOKS,(912) 263-4171,Critical Access Hospitals,Government - Hospital District or Authority
+55784,IU HEALTH BLOOMINGTON HOSPITAL,601 W SECOND ST,BLOOMINGTON,IN,47403,MONROE,(812) 353-9555,Acute Care Hospitals,Voluntary non-profit - Private
+13523,CUERO REGIONAL HOSPITAL,2550 N ESPLANADE,CUERO,TX,77954,DE WITT,(361) 275-6191,Acute Care Hospitals,Government - Hospital District or Authority
+57240,ST CHARLES REDMOND,1253 NW CANAL BLVD,REDMOND,OR,97756,DESCHUTES,(541) 548-8131,Acute Care Hospitals,Voluntary non-profit - Private
+31481,BLUFFTON REGIONAL MEDICAL CENTER,303 S MAIN ST,BLUFFTON,IN,46714,WELLS,(260) 824-3210,Acute Care Hospitals,Proprietary
+65285,DALE MEDICAL CENTER,126 HOSPITAL AVE,OZARK,AL,36360,DALE,(334) 774-2601,Acute Care Hospitals,Government - Hospital District or Authority
+45824,UNIVERSITY OF MD ST JOSEPH MEDICAL CENTER,7601 OSLER DRIVE,TOWSON,MD,21204,BALTIMORE,(410) 337-1000,Acute Care Hospitals,Voluntary non-profit - Private
+89445,PELLA REGIONAL HEALTH CENTER,404 JEFFERSON STREET,PELLA,IA,50219,MARION,(641) 628-3150,Critical Access Hospitals,Voluntary non-profit - Private
+47633,HUGGINS HOSPITAL,240 SOUTH MAIN STREET,WOLFEBORO,NH,3894,CARROLL,(603) 569-7500,Critical Access Hospitals,Voluntary non-profit - Private
+33176,MEDICAL CITY DALLAS,7777 FOREST LANE,DALLAS,TX,75230,DALLAS,(972) 566-6222,Acute Care Hospitals,Proprietary
+94652,"PIEDMONT WALTON HOSPITAL, INC",2151 W SPRING STREET,MONROE,GA,30655,WALTON,(770) 267-8461,Acute Care Hospitals,Proprietary
+90678,ANDERSON COUNTY HOSPITAL,421 S MAPLE,GARNETT,KS,66032,ANDERSON,(785) 204-4000,Critical Access Hospitals,Voluntary non-profit - Private
+37182,AURORA MEDICAL CTR MANITOWOC COUNTY,5000 MEMORIAL DRIVE,TWO RIVERS,WI,54241,MANITOWOC,(920) 794-5000,Acute Care Hospitals,Voluntary non-profit - Private
+13213,TAYLORVILLE MEMORIAL HOSPITAL,201 EAST PLEASANT STREET,TAYLORVILLE,IL,62568,CHRISTIAN,(217) 824-3331,Critical Access Hospitals,Voluntary non-profit - Private
+21663,GUTHRIE CORTLAND REGIONAL MEDICAL CENTER,134 HOMER AVENUE,CORTLAND,NY,13045,CORTLAND,(607) 756-3501,Acute Care Hospitals,Voluntary non-profit - Private
+41162,KNOX COMMUNITY HOSPITAL,1330 COSHOCTON ROAD,MOUNT VERNON,OH,43050,KNOX,(740) 393-9000,Acute Care Hospitals,Voluntary non-profit - Other
+33685,AVERA HEART HOSPITAL OF SOUTH DAKOTA,4500 W 69TH ST,SIOUX FALLS,SD,57108,LINCOLN,(605) 977-7000,Acute Care Hospitals,Proprietary
+76433,STORY COUNTY HOSPITAL,640 SOUTH 19TH STREET,NEVADA,IA,50201,STORY,(515) 382-2111,Critical Access Hospitals,Government - Local
+84691,LAKE CHELAN COMMUNITY HOSPITAL,503 EAST HIGHLAND,CHELAN,WA,98816,CHELAN,(509) 682-3300,Critical Access Hospitals,Government - Hospital District or Authority
+68213,FAIRFAX COMMUNITY HOSPITAL,40 HOSPITAL ROAD,FAIRFAX,OK,74637,OSAGE,(918) 642-3291,Critical Access Hospitals,Voluntary non-profit - Other
+60875,TRINITY REGIONAL MEDICAL CENTER,802 KENYON RD,FORT DODGE,IA,50501,WEBSTER,(515) 573-3101,Acute Care Hospitals,Voluntary non-profit - Private
+44886,LIMESTONE MEDICAL CENTER,701 MCCLINTIC DRIVE,GROESBECK,TX,76642,LIMESTONE,(254) 729-3281,Critical Access Hospitals,Government - Hospital District or Authority
+86050,VALLEY BAPTIST MEDICAL CENTER- BROWNSVILLE,1040 W JEFFERSON ST,BROWNSVILLE,TX,78520,CAMERON,(956) 544-1400,Acute Care Hospitals,Proprietary
+64030,ENCINO HOSPITAL MEDICAL CENTER,16237 VENTURA BLVD,ENCINO,CA,91436,LOS ANGELES,(818) 995-5000,Acute Care Hospitals,Proprietary
+44653,O'CONNOR HOSPITAL,2105 FOREST AVENUE,SAN JOSE,CA,95128,SANTA CLARA,(408) 947-2500,Acute Care Hospitals,Voluntary non-profit - Private
+65640,PICKENS COUNTY MEDICAL CENTER,241 ROBERT K WILSON DRIVE,CARROLLTON,AL,35447,PICKENS,(205) 367-8111,Acute Care Hospitals,Government - Local
+80507,HOSPITAL ONCOLOGICO DR ISAAC GONZALEZ MARTINEZ,BO. MONACILLOS CARR 22 CENTRO MEDICO DE PUERTO RIC,SAN JUAN,PR,935,SAN JUAN,(787) 763-4149,Acute Care Hospitals,Voluntary non-profit - Private
+37701,COMPASS MEMORIAL HEALTHCARE,300 W MAY ST,MARENGO,IA,52301,IOWA,(319) 642-5543,Critical Access Hospitals,Voluntary non-profit - Other
+67666,GALLUP INDIAN MEDICAL CENTER,516 E NIZHONI BLVD,GALLUP,NM,87301,MCKINLEY,(505) 722-1000,Acute Care Hospitals,Government - Federal
+54418,VIDANT BERTIE  HOSPITAL,1403 SOUTH KINGS STREET,WINDSOR,NC,27983,BERTIE,(252) 794-6600,Critical Access Hospitals,Voluntary non-profit - Private
+32067,CAPITAL HEALTH MEDICAL CENTER - HOPEWELL,ONE CAPITAL WAY,PENNINGTON,NJ,8534,MERCER,(609) 303-4000,Acute Care Hospitals,Voluntary non-profit - Private
+11132,WAGONER COMMUNITY HOSPITAL,1200 WEST CHEROKEE STREET,WAGONER,OK,74467,WAGONER,(918) 485-5514,Acute Care Hospitals,Government - Hospital District or Authority
+13366,BAPTIST MEDICAL CENTER,111 DALLAS STREET,SAN ANTONIO,TX,78205,BEXAR,(210) 297-8256,Acute Care Hospitals,Proprietary
+70093,RED RIVER HOSPITAL,1505 8TH ST,WICHITA FALLS,TX,76301,WICHITA,(940) 322-3171,Psychiatric,Proprietary
+66607,PIEDMONT FAYETTE HOSPITAL,1255 HIGHWAY 54 WEST,FAYETTEVILLE,GA,30214,FAYETTE,(770) 719-7000,Acute Care Hospitals,Voluntary non-profit - Private
+17064,SOUTH SUNFLOWER COUNTY HOSPITAL,121 E BAKER ST,INDIANOLA,MS,38751,SUNFLOWER,(662) 887-5235,Acute Care Hospitals,Government - Local
+63464,CAPITAL REGION MEDICAL CENTER,1125 MADISON ST,JEFFERSON CITY,MO,65102,COLE,(573) 632-5000,Acute Care Hospitals,Voluntary non-profit - Private
+33681,OVERLAND PARK REG MED CTR,10500 QUIVIRA ROAD,OVERLAND PARK,KS,66215,JOHNSON,(913) 541-5000,Acute Care Hospitals,Proprietary
+57419,METHODIST CHARLTON MEDICAL CENTER,3500 W WHEATLAND ROAD,DALLAS,TX,75237,DALLAS,(214) 947-7777,Acute Care Hospitals,Voluntary non-profit - Private
+26044,SWEDISH COVENANT HOSPITAL,5145 N CALIFORNIA AVE,CHICAGO,IL,60625,COOK,(773) 878-8200,Acute Care Hospitals,Voluntary non-profit - Church
+35753,KAISER FOUNDATION HOSPITAL-SAN JOSE,250 HOSPITAL PARKWAY,SAN JOSE,CA,95119,SANTA CLARA,(408) 972-7000,Acute Care Hospitals,Voluntary non-profit - Private
+48036,CATHOLIC MEDICAL CENTER,100 MCGREGOR STREET,MANCHESTER,NH,3102,HILLSBOROUGH,(603) 668-3545,Acute Care Hospitals,Voluntary non-profit - Private
+65236,LAFAYETTE GENERAL SURGICAL HOSPITAL,1000 W PINHOOK RD SUITE 100,LAFAYETTE,LA,70503,LAFAYETTE,(337) 289-8095,Acute Care Hospitals,Physician
+44030,HIGHLAND RIDGE HOSPITAL,7309 SOUTH 180 WEST,MIDVALE,UT,84047,SALT LAKE,(801) 845-9544,Psychiatric,Proprietary
+41852,BRONX PSYCHIATRIC CENTER,1500 WATERS PLACE,BRONX,NY,10461,BRONX,(718) 931-0600,Psychiatric,Government - State
+83725,REFUGIO COUNTY MEMORIAL HOSPITAL,107 SWIFT STREET,REFUGIO,TX,78377,REFUGIO,(361) 526-2321,Critical Access Hospitals,Government - Hospital District or Authority
+85057,WATAUGA MEDICAL CENTER,336 DEERFIELD ROAD,BOONE,NC,28607,WATAUGA,(828) 263-1211,Acute Care Hospitals,Government - Local
+19840,SELBY GENERAL HOSPITAL,1106 COLEGATE DRIVE,MARIETTA,OH,45750,WASHINGTON,(740) 568-2000,Critical Access Hospitals,Voluntary non-profit - Private
+65388,HOSPITAL DE LA CONCEPCION,ROAD NUMBER 2 KM 173.4 CAIN ALTO,SAN GERMAN,PR,683,SAN GERMAN,(787) 892-1860,Acute Care Hospitals,Voluntary non-profit - Church
+61813,UPMC NORTHWEST,100 FAIRFIELD DRIVE,SENECA,PA,16346,VENANGO,(814) 676-7600,Acute Care Hospitals,Voluntary non-profit - Other
+59772,REGIONAL HOSPITAL OF SCRANTON,746 JEFFERSON AVENUE,SCRANTON,PA,18501,LACKAWANNA,(570) 348-7100,Acute Care Hospitals,Proprietary
+67072,SAN RAMON REGIONAL MEDICAL CENTER,6001 NORRIS CANYON ROAD,SAN RAMON,CA,94583,CONTRA COSTA,(925) 275-9200,Acute Care Hospitals,Proprietary
+74238,HOLZER MEDICAL CENTER JACKSON,500 BURLINGTON ROAD,JACKSON,OH,45640,JACKSON,(740) 395-8500,Critical Access Hospitals,Voluntary non-profit - Private
+65376,NOVANT HEALTH UVA  PRINCE WILLIAM MEDICAL CENTER,8700 SUDLEY RD,MANASSAS,VA,20110,MANASSAS CITY,(703) 369-8000,Acute Care Hospitals,Voluntary non-profit - Private
+81796,NORTH CAROLINA SPECIALTY HOSPITAL,3916 BEN FRANKLIN BOULEVARD,DURHAM,NC,27704,DURHAM,(919) 956-9300,Acute Care Hospitals,Proprietary
+11740,SUMMIT HEALTHCARE REGIONAL MEDICAL CENTER,2200 EAST SHOW LOW LAKE ROAD,SHOW LOW,AZ,85901,NAVAJO,(928) 537-6399,Acute Care Hospitals,Voluntary non-profit - Private
+28914,JOHN RANDOLPH MEDICAL CENTER,411 WEST RANDOLPH ROAD,HOPEWELL,VA,23860,HOPEWELL CITY,(804) 541-1600,Acute Care Hospitals,Proprietary
+66324,ELLETT MEMORIAL HOSPITAL,610 N OHIO AVE,APPLETON CITY,MO,64724,ST. CLAIR,(660) 476-2111,Critical Access Hospitals,Government - Hospital District or Authority
+44157,CHADRON COMMUNITY HOSPITAL CORP,825 CENTENNIAL DRIVE,CHADRON,NE,69337,DAWES,(308) 432-5586,Critical Access Hospitals,Voluntary non-profit - Private
+43813,COORDINATED HEALTH ORTHOPEDIC HOSPITAL,2310 HIGHLAND AVENUE,BETHLEHEM,PA,18017,NORTHAMPTON,(610) 691-4300,Acute Care Hospitals,Physician
+13287,RIVERVIEW MEDICAL CENTER,ONE RIVERVIEW PLAZA,RED BANK,NJ,7701,MONMOUTH,(732) 741-2700,Acute Care Hospitals,Voluntary non-profit - Private
+42963,USMD HOSPITAL  AT FORT WORTH LP,5900 ALTAMESA BLVD,FORT WORTH,TX,76132,TARRANT,(817) 433-9100,Acute Care Hospitals,Proprietary
+87231,OLATHE MEDICAL CENTER,20333 WEST 151ST STREET,OLATHE,KS,66061,JOHNSON,(913) 791-4200,Acute Care Hospitals,Voluntary non-profit - Private
+77379,METROPOLITAN HOSPITAL,CARRETERA 21 1785 URB LAS LOMAS,SAN JUAN,PR,915,SAN JUAN,(787) 782-9999,Acute Care Hospitals,Proprietary
+74729,SAINT JOSEPH LONDON,1001 SAINT JOSEPH LANE,LONDON,KY,40741,LAUREL,(606) 330-6000,Acute Care Hospitals,Voluntary non-profit - Private
+35687,SIERRA VISTA REGIONAL MEDICAL CENTER,1010 MURRAY ST,SAN LUIS OBISPO,CA,93405,SAN LUIS OBISPO,(850) 546-7600,Acute Care Hospitals,Proprietary
+27733,AVERA SACRED HEART HOSPITAL,501 SUMMIT ST,YANKTON,SD,57078,YANKTON,(605) 668-8000,Acute Care Hospitals,Voluntary non-profit - Private
+66597,WILBARGER GENERAL HOSPITAL,920 HILLCREST DR,VERNON,TX,76384,WILBARGER,(940) 552-9351,Acute Care Hospitals,Government - Hospital District or Authority
+66873,EDWARD MCCREADY MEMORIAL HOSPITAL,201 HALL HIGHWAY,CRISFIELD,MD,21817,SOMERSET,(410) 726-9496,Acute Care Hospitals,Voluntary non-profit - Private
+94753,F F THOMPSON HOSPITAL,350 PARRISH STREET,CANANDAIGUA,NY,14424,ONTARIO,(585) 396-6000,Acute Care Hospitals,Voluntary non-profit - Private
+13611,OPTIM MEDICAL CENTER - TATTNALL,247 S MAIN STREET,REIDSVILLE,GA,30453,TATTNALL,(912) 557-1000,Critical Access Hospitals,Proprietary
+46467,AVOYELLES HOSPITAL,4231 HIGHWAY 1192,MARKSVILLE,LA,71351,AVOYELLES,(318) 253-8611,Acute Care Hospitals,Proprietary
+83539,ST VINCENT'S MEDICAL CENTER,2800 MAIN ST,BRIDGEPORT,CT,6606,FAIRFIELD,(203) 576-5551,Acute Care Hospitals,Voluntary non-profit - Church
+42385,BRONSON BATTLE CREEK HOSPITAL,300 NORTH AVENUE,BATTLE CREEK,MI,49017,CALHOUN,(269) 966-8000,Acute Care Hospitals,Proprietary
+47875,MURPHY MEDICAL CENTER INC,3990 EAST US HIGHWAY 64 ALT,MURPHY,NC,28906,CHEROKEE,(828) 837-8161,Critical Access Hospitals,Voluntary non-profit - Private
+43860,VALLEY VIEW HOSPITAL ASSOCIATION,1906 BLAKE AVE,GLENWOOD SPRINGS,CO,81601,GARFIELD,(970) 945-6535,Acute Care Hospitals,Voluntary non-profit - Private
+22091,PARK NICOLLET METHODIST HOSPITAL,6500 EXCELSIOR BLVD,SAINT LOUIS PARK,MN,55426,HENNEPIN,(952) 993-5000,Acute Care Hospitals,Voluntary non-profit - Private
+82150,WESTERN NY CHILDRENS PSYCHIATRIC CENTER,1010 EAST & WEST ROAD,WEST SENECA,NY,14224,ERIE,(716) 677-7000,Psychiatric,Government - State
+13404,PERKINS COUNTY HEALTH SERVICES,900 LINCOLN AVE,GRANT,NE,69140,PERKINS,(308) 352-7200,Critical Access Hospitals,Government - Hospital District or Authority
+46192,SHERMAN HOSPITAL,1425 NORTH RANDALL ROAD,ELGIN,IL,60123,KANE,(847) 742-9800,Acute Care Hospitals,Voluntary non-profit - Private
+68428,MAYO REGIONAL HOSPITAL,897 WEST MAIN STREET,DOVER FOXCROFT,ME,4426,PISCATAQUIS,(207) 564-4251,Critical Access Hospitals,Government - Hospital District or Authority
+66532,RESOLUTE HEALTH HOSPITAL,"555 CREEKSIDE XING,",NEW BRAUNFELS,TX,78130,COMAL,(469) 839-6778,Acute Care Hospitals,Proprietary
+69003,HOT SPRINGS COUNTY MEMORIAL HOSPITAL,150 EAST ARAPAHOE,THERMOPOLIS,WY,82443,HOT SPRINGS,(307) 864-3121,Critical Access Hospitals,Government - Local
+63176,YOAKUM COUNTY HOSPITAL,412 MUSTANG AVENUE,DENVER CITY,TX,79323,YOAKUM,(806) 592-2121,Critical Access Hospitals,Government - Local
+41002,NORTHFIELD HOSPITAL,2000 NORTH AVENUE,NORTHFIELD,MN,55057,RICE,(507) 646-1001,Acute Care Hospitals,Government - Local
+34748,ST MARYS HOSPITAL MEDICAL CTR,1726 SHAWANO AVE,GREEN BAY,WI,54303,BROWN,(920) 498-4200,Acute Care Hospitals,Voluntary non-profit - Other
+49348,ST CLAIRE REGIONAL MEDICAL CENTER,222 MEDICAL CIRCLE,MOREHEAD,KY,40351,ROWAN,(606) 783-6502,Acute Care Hospitals,Government - Federal
+79680,SOUTHEASTHEALTH,1701 LACEY ST,CAPE GIRARDEAU,MO,63701,CAPE GIRARDEAU,(573) 334-4822,Acute Care Hospitals,Voluntary non-profit - Private
+24020,COALINGA REGIONAL MEDICAL CENTER,1191 PHELPS AVENUE,COALINGA,CA,93210,FRESNO,(559) 935-6400,Acute Care Hospitals,Government - Hospital District or Authority
+87021,MOUNT CARMEL NEW ALBANY SURGICAL HOSPITAL,7333 SMITH'S MILL ROAD,NEW ALBANY,OH,43054,FRANKLIN,(614) 775-6600,Acute Care Hospitals,Proprietary
+86214,BOUNDARY COMMUNITY HOSPITAL,6640 KANIKSU STREET,BONNERS FERRY,ID,83805,BOUNDARY,(208) 267-4850,Critical Access Hospitals,Voluntary non-profit - Other
+71462,TRISTAR SKYLINE MEDICAL CENTER,3441 DICKERSON PIKE,NASHVILLE,TN,37207,DAVIDSON,(615) 769-2000,Acute Care Hospitals,Voluntary non-profit - Private
+49392,ROGER MILLS MEMORIAL HOSPITAL,501 SOUTH L L MALES AVENUE,CHEYENNE,OK,73628,ROGER MILLS,(580) 497-3336,Critical Access Hospitals,Government - Hospital District or Authority
+30717,"ROY LESTER SCHNEIDER HOSPITAL,THE",9048 SUGAR ESTATE,ST THOMAS,VI,801,SAINT THOMAS ISLAND,(809) 776-8311,Acute Care Hospitals,Government - Local
+45529,KNAPP MEDICAL CENTER,1401 EAST EIGHT STREET,WESLACO,TX,78596,HIDALGO,(956) 968-8567,Acute Care Hospitals,Voluntary non-profit - Private
+92147,"CHRISTIANA CARE HEALTH SERVICES, INC.",4755 OGLETOWN-STANTON ROAD,NEWARK,DE,19718,NEW CASTLE,(302) 733-1000,Acute Care Hospitals,Voluntary non-profit - Private
+20426,RICHLAND MEMORIAL HOSPITAL,800 EAST LOCUST,OLNEY,IL,62450,RICHLAND,(618) 395-2131,Acute Care Hospitals,Voluntary non-profit - Private
+79028,GENERATIONS BEHAVIORAL HEALTH - GENEVA,60 WEST STREET,GENEVA,OH,44041,ASHTABULA,(440) 415-0794,Psychiatric,Proprietary
+54093,UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT TYLER,11937 US HIGHWAY 271,TYLER,TX,75708,SMITH,(903) 877-7777,Acute Care Hospitals,Government - State
+23032,BAYSIDE COMMUNITY HOSPITAL,200 HOSPITAL DRIVE,ANAHUAC,TX,77514,CHAMBERS,(409) 267-3143,Critical Access Hospitals,Government - Hospital District or Authority
+85523,HEALTHEAST WOODWINDS HOSPITAL,1925 WOODWINDS DRIVE,WOODBURY,MN,55125,WASHINGTON,(651) 232-0228,Acute Care Hospitals,Voluntary non-profit - Private
+73028,OAKLEAF SURGICAL HOSPITAL,1000 OAKLEAF WAY,ALTOONA,WI,54720,EAU CLAIRE,(715) 831-8130,Acute Care Hospitals,Physician
+78401,PATIENTS CHOICE MEDICAL CENTER,347 MAGNOLIA DRIVE,RALEIGH,MS,39153,SMITH,(601) 782-9997,Acute Care Hospitals,Proprietary
+76578,ANNE ARUNDEL MEDICAL CENTER,2001 MEDICAL PARKWAY,ANNAPOLIS,MD,21401,ANNE ARUNDEL,(443) 481-1307,Acute Care Hospitals,Voluntary non-profit - Private
+42494,"PARKVIEW MEDICAL CENTER, INC",400 W 16TH ST,PUEBLO,CO,81003,PUEBLO,(719) 584-4000,Acute Care Hospitals,Voluntary non-profit - Private
+49486,SHRINERS HOSPITALS FOR CHILDREN - PHILADELPHIA,3551 N BROAD STREET,PHILADELPHIA,PA,19104,PHILADELPHIA,(215) 430-4000,Childrens,Voluntary non-profit - Other
+27156,BAPTIST HEALTH LOUISVILLE,4000 KRESGE WAY,LOUISVILLE,KY,40207,JEFFERSON,(502) 897-8100,Acute Care Hospitals,Voluntary non-profit - Private
+86306,AUBURN  COMMUNITY  HOSPITAL,17 LANSING STREET,AUBURN,NY,13021,CAYUGA,(315) 255-7011,Acute Care Hospitals,Voluntary non-profit - Private
+81489,JENNINGS AMERICAN LEGION HOSPITAL,1634 ELTON ROAD,JENNINGS,LA,70546,JEFFRSON DAVIS,(337) 616-7000,Acute Care Hospitals,Voluntary non-profit - Private
+34653,"PARKSIDE, INC",1619 EAST 13TH STREET,TULSA,OK,74120,TULSA,(918) 582-2131,Psychiatric,Voluntary non-profit - Private
+57925,FAIRVIEW SOUTHDALE HOSPITAL,6401 FRANCE AVENUE SOUTH,EDINA,MN,55435,HENNEPIN,(952) 924-5100,Acute Care Hospitals,Voluntary non-profit - Private
+41792,SALINA SURGICAL HOSPITAL,401 SOUTH SANTA FE AVENUE,SALINA,KS,67401,SALINE,(785) 827-0610,Acute Care Hospitals,Physician
+83930,PRESENCE SAINTS MARY AND ELIZABETH MEDICAL CENTER,2233 W DIVISION ST,CHICAGO,IL,60622,COOK,(312) 770-2000,Acute Care Hospitals,Voluntary non-profit - Church
+29887,CROWNPOINT HEALTHCARE FACILITY,JUNCTION OF HWY 371,CROWNPOINT,NM,87313,MCKINLEY,(505) 786-5291,Acute Care Hospitals,Government - Federal
+70108,AURORA BAYCARE MEDICAL CTR,2845 GREENBRIER RD,GREEN BAY,WI,54311,BROWN,(920) 288-8000,Acute Care Hospitals,Proprietary
+23797,HAWKINS COUNTY MEMORIAL HOSPITAL,851 LOCUST STREET,ROGERSVILLE,TN,37857,HAWKINS,(423) 921-7000,Acute Care Hospitals,Voluntary non-profit - Private
+14417,ESTES PARK MEDICAL CENTER,555 PROSPECT AVE,ESTES PARK,CO,80517,LARIMER,(970) 577-4470,Critical Access Hospitals,Government - Hospital District or Authority
+54407,TALLAHASSEE MEMORIAL HOSPITAL,1300 MICCOSUKEE RD,TALLAHASSEE,FL,32308,LEON,(850) 431-5380,Acute Care Hospitals,Voluntary non-profit - Private
+71703,SOUTHWEST HEALTHCARE SERVICES,802 2ND ST NW,BOWMAN,ND,58623,BOWMAN,(701) 523-5265,Critical Access Hospitals,Voluntary non-profit - Private
+22010,FREEMAN MEDICAL CENTER - CAH,510 E 8TH ST  POST OFFICE BOX 370,FREEMAN,SD,57029,HUTCHINSON,(605) 925-4000,Critical Access Hospitals,Voluntary non-profit - Private
+64837,GARFIELD COUNTY MEMORIAL HOSPITAL,66 NORTH SIXTH STREET,POMEROY,WA,99347,GARFIELD,(509) 843-1591,Critical Access Hospitals,Government - Hospital District or Authority
+27073,ST LUKE'S HOSPITAL,5901 MONCLOVA ROAD,MAUMEE,OH,43537,LUCAS,(419) 893-5900,Acute Care Hospitals,Voluntary non-profit - Other
+23968,IOWA SPECIALTY HOSPITAL-CLARION,1316 SOUTH MAIN STREET,CLARION,IA,50525,WRIGHT,(515) 532-2811,Critical Access Hospitals,Government - Local
+54371,MERIT HEALTH RIVER REGION,2100 HWY 61 N,VICKSBURG,MS,39183,WARREN,(601) 883-5000,Acute Care Hospitals,Proprietary
+62688,CHI HEALTH SCHUYLER,104 WEST 17TH ST,SCHUYLER,NE,68661,COLFAX,(402) 352-2441,Critical Access Hospitals,Voluntary non-profit - Private
+15012,STEWARD SEBASTIAN RIVER MEDICAL CENTER,13695 US HWY 1,SEBASTIAN,FL,32978,INDIAN RIVER,(772) 589-3187,Acute Care Hospitals,Proprietary
+72641,HUTCHINGS PSYCHIATRIC CTR,620 MADISON STREET,SYRACUSE,NY,13210,ONONDAGA,(315) 473-4980,Psychiatric,Government - State
+70312,MOUNDVIEW MEMORIAL HOSPITAL AND CLINICS,402 W LAKE ST,FRIENDSHIP,WI,53934,ADAMS,(608) 339-3331,Critical Access Hospitals,Voluntary non-profit - Private
+60516,UNIVERSITY HOSPITAL,1350 WALTON WAY,AUGUSTA,GA,30901,RICHMOND,(706) 722-9011,Acute Care Hospitals,Government - Hospital District or Authority
+11482,BIG HORN HOSPITAL,17 N MILES,HARDIN,MT,59034,BIG HORN,(406) 665-2310,Critical Access Hospitals,Government - Local
+22847,SCRIPPS MERCY HOSPITAL,4077 5TH AVE,SAN DIEGO,CA,92103,SAN DIEGO,(619) 294-8111,Acute Care Hospitals,Voluntary non-profit - Private
+59728,GUADALUPE REGIONAL MEDICAL CENTER,1215 E COURT ST,SEGUIN,TX,78155,GUADALUPE,(830) 379-2411,Acute Care Hospitals,Voluntary non-profit - Other
+26798,GRANDVIEW HOSPITAL & MEDICAL CENTER,405 GRAND AVENUE,DAYTON,OH,45405,MONTGOMERY,(937) 723-3200,Acute Care Hospitals,Voluntary non-profit - Other
+76739,CYPRESS POINTE SURGICAL HOSPITAL,42570 SOUTH AIRPORT RD,HAMMOND,LA,70403,TANGIPAHOA,(985) 510-6200,Acute Care Hospitals,Physician
+45471,CEDARS-SINAI MEDICAL CENTER,8700 BEVERLY BLVD,LOS ANGELES,CA,90048,LOS ANGELES,(310) 423-5000,Acute Care Hospitals,Voluntary non-profit - Other
+40542,NORWEGIAN-AMERICAN HOSPITAL,1044 N FRANCISCO AVE,CHICAGO,IL,60622,COOK,(773) 292-8200,Acute Care Hospitals,Voluntary non-profit - Private
+52474,CHINLE COMPREHENSIVE HEALTH CARE FACILITY,"US HWY 191, HOSPITAL ROAD",CHINLE,AZ,86503,APACHE,(928) 674-7001,Acute Care Hospitals,Government - Federal
+43556,REDINGTON FAIRVIEW GENERAL HOSPITAL,46 FAIRVIEW AVE   PO BOX 468,SKOWHEGAN,ME,4976,SOMERSET,(207) 474-5121,Critical Access Hospitals,Proprietary
+50536,KAISER PERMANENTE CENTRAL HOSPITAL,201 - 16TH AVENUE EAST,SEATTLE,WA,98112,KING,(206) 326-3000,Acute Care Hospitals,Voluntary non-profit - Other
+30769,ST VINCENT EVANSVILLE,3700 WASHINGTON AVE,EVANSVILLE,IN,47750,VANDERBURGH,(812) 485-4000,Acute Care Hospitals,Voluntary non-profit - Private
+75966,SAINT ALPHONSUS MEDICAL CENTER - NAMPA,4300 E FLAMINGO AVE,NAMPA,ID,83687,CANYON,(208) 205-0050,Acute Care Hospitals,Voluntary non-profit - Church
+15861,CAPE CANAVERAL HOSPITAL,701 W COCOA BEACH CAUSEWAY,COCOA BEACH,FL,32932,BREVARD,(321) 799-7111,Acute Care Hospitals,Voluntary non-profit - Private
+90198,HOLY SPIRIT HOSPITAL,503 NORTH 21ST STREET,CAMP HILL,PA,17011,CUMBERLAND,(717) 763-2100,Acute Care Hospitals,Voluntary non-profit - Private
+85868,ALLIANCEHEALTH CLINTON,100 NORTH 30TH STREET,CLINTON,OK,73601,CUSTER,(580) 323-2363,Acute Care Hospitals,Voluntary non-profit - Other
+42109,MARSHFIELD MEDICAL CENTER - NEILLSVILLE,216 SUNSET PLACE,NEILLSVILLE,WI,54456,CLARK,(715) 743-3101,Critical Access Hospitals,Voluntary non-profit - Church
+68607,EDWARD W SPARROW HOSPITAL,1215 E MICHIGAN AVENUE,LANSING,MI,48912,INGHAM,(517) 364-1000,Acute Care Hospitals,Voluntary non-profit - Other
+62751,TEXAS STAR RECOVERY,1106  WEST DITTMAR RD,AUSTIN,TX,78745,TRAVIS,(512) 444-4835,Psychiatric,Proprietary
+68234,METHODIST HOSPITALS INC,600 GRANT ST,GARY,IN,46402,LAKE,(219) 886-4000,Acute Care Hospitals,Voluntary non-profit - Private
+75480,PACIFIC GROVE HOSPITAL,5900 BROCKTON AVE,RIVERSIDE,CA,92506,RIVERSIDE,(951) 275-8400,Psychiatric,Proprietary
+94000,CAYUGA MEDICAL CENTER AT ITHACA,101 DATES DRIVE,ITHACA,NY,14850,TOMPKINS,(607) 274-4401,Acute Care Hospitals,Voluntary non-profit - Private
+16655,JASPER GENERAL HOSPITAL,15 SOUTH 6TH STREET,BAY SPRINGS,MS,39422,JASPER,(601) 764-2101,Acute Care Hospitals,Government - Local
+49413,RAPPAHANNOCK GENERAL HOSPITAL,101 HARRIS ROAD,KILMARNOCK,VA,22482,LANCASTER,(804) 435-8000,Critical Access Hospitals,Voluntary non-profit - Private
+39207,SIBLEY MEMORIAL HOSPITAL,5255 LOUGHBORO RD NW,WASHINGTON,DC,20016,THE DISTRICT,(202) 537-4680,Acute Care Hospitals,Voluntary non-profit - Other
+30909,UNIVERSITY OF NORTH CAROLINA HOSPITAL,101 MANNING DRIVE,CHAPEL HILL,NC,27514,ORANGE,(919) 966-4141,Acute Care Hospitals,Government - State
+86514,"MOUNTAIN VISTA MEDICAL CENTER, LP",1301 SOUTH CRISMON ROAD,MESA,AZ,85209,MARICOPA,(480) 358-6100,Acute Care Hospitals,Proprietary
+77589,"COFFEE REGIONAL MEDICAL CENTER, INC",1101 OCILLA ROAD,DOUGLAS,GA,31533,COFFEE,(912) 383-5620,Acute Care Hospitals,Government - Hospital District or Authority
+57334,SHARP CHULA VISTA MEDICAL CENTER,751 MEDICAL CENTER COURT,CHULA VISTA,CA,91911,SAN DIEGO,(619) 502-5800,Acute Care Hospitals,Proprietary
+49616,MID HUDSON FORENSIC PSYCHIATRIC CTR,BOX 158 ROUTE 17M,NEW HAMPTON,NY,10958,ORANGE,(845) 374-3171,Psychiatric,Government - State
+60093,HILO MEDICAL CENTER,1190 WAIANUENUE AVENUE,HILO,HI,96720,HAWAII,(808) 932-3000,Acute Care Hospitals,Government - State
+71292,LECOM HEALTH CORRY MEMORIAL HOSPITAL,965 SHAMROCK LANE,CORRY,PA,16407,ERIE,(814) 664-4641,Critical Access Hospitals,Government - Hospital District or Authority
+68169,"ASCENSION VIA CHRISTI HOSPITALS WICHITA, INC.",929 NORTH ST FRANCIS STREET,WICHITA,KS,67214,SEDGWICK,(316) 268-5000,Acute Care Hospitals,Voluntary non-profit - Church
+52341,GERALD CHAMPION REGIONAL MEDICAL CENTER,2669 NORTH SCENIC DRIVE,ALAMOGORDO,NM,88310,OTERO,(575) 443-6100,Acute Care Hospitals,Voluntary non-profit - Private
+46626,OSCEOLA REGIONAL MEDICAL CENTER,700 WEST OAK STREET,KISSIMMEE,FL,34741,OSCEOLA,(407) 846-2266,Acute Care Hospitals,Proprietary
+82377,BENSON HOSPITAL,450 SOUTH OCOTILLO AVENUE,BENSON,AZ,85602,COCHISE,(520) 586-2261,Critical Access Hospitals,Voluntary non-profit - Private
+85642,LDS HOSPITAL,8TH AVENUE AND C STREET,SALT LAKE CITY,UT,84143,SALT LAKE,(801) 408-1100,Acute Care Hospitals,Voluntary non-profit - Private
+24516,OSBORNE COUNTY MEMORIAL HOSPITAL,424 W NEW HAMPSHIRE STREET,OSBORNE,KS,67473,OSBORNE,(785) 346-2121,Critical Access Hospitals,Government - Local
+29295,GOOD SAMARITAN REGIONAL MEDICAL CENTER,3600 NW SAMARITAN DRIVE,CORVALLIS,OR,97330,BENTON,(541) 768-5111,Acute Care Hospitals,Voluntary non-profit - Private
+83557,HARRINGTON MEMORIAL HOSPITAL-1,100 SOUTH STREET,SOUTHBRIDGE,MA,1550,WORCESTER,(508) 765-9771,Acute Care Hospitals,Voluntary non-profit - Private
+54847,SOUTHERN TENNESSEE REGIONAL HEALTH SYSTEM LAWRENCE,HWY 43 S BOX 847,LAWRENCEBURG,TN,38464,LAWRENCE,(931) 762-6571,Acute Care Hospitals,Voluntary non-profit - Other
+93638,ST ANTHONY COMMUNITY HOSPITAL,15 MAPLE AVENUE -19,WARWICK,NY,10990,ORANGE,(845) 986-2276,Acute Care Hospitals,Voluntary non-profit - Church
+81832,CLEVELAND CLINIC AVON HOSPITAL,33300 CLEVELAND CLINIC BLVD,AVON,OH,44011,LORAIN,(216) 636-7727,Acute Care Hospitals,Voluntary non-profit - Private
+77657,NORTH OTTAWA COMMUNITY HEALTH SYSTEM,1309 SHELDON RD,GRAND HAVEN,MI,49417,OTTAWA,(616) 842-3600,Acute Care Hospitals,Government - Hospital District or Authority
+10577,MARGARET R PARDEE MEMORIAL HOSPITAL,800 N JUSTICE ST,HENDERSONVILLE,NC,28791,HENDERSON,(828) 696-1000,Acute Care Hospitals,Government - Local
+38993,DOOR COUNTY MEDICAL CENTER,323 SOUTH 18TH AVENUE,STURGEON BAY,WI,54235,DOOR,(920) 743-5566,Critical Access Hospitals,Voluntary non-profit - Church
+65564,REGIONAL GENERAL HOSPITAL WILLISTON,125 SW 7TH ST,WILLISTON,FL,32696,LEVY,(352) 528-2801,Acute Care Hospitals,Proprietary
+54163,88th Medical Group (Wright-Patterson AFB),88 MDG 4881 Sugar Maple Dr.,Wright-Patterson AFB,OH,45433,GREENE,(937) 257-9926,Acute Care - Department of Defense,Department of Defense
+54564,ST LUKE'S DES PERES HOSPITAL,2345 DOUGHERTY FERRY ROAD,SAINT LOUIS,MO,63122,ST. LOUIS,(314) 966-9100,Acute Care Hospitals,Proprietary
+21656,INCLINE VILLAGE HEALTH CENTER,880 ALDER STREET,INCLINE VILLAGE,NV,89451,WASHOE,(775) 833-4100,Critical Access Hospitals,Government - Hospital District or Authority
+55097,LODI COMMUNITY HOSPITAL,225 ELYRIA STREET,LODI,OH,44254,MEDINA,(330) 948-1222,Critical Access Hospitals,Voluntary non-profit - Private
+31391,RHODE ISLAND HOSPITAL,593 EDDY STREET,PROVIDENCE,RI,2903,PROVIDENCE,(401) 444-4000,Acute Care Hospitals,Voluntary non-profit - Private
+51811,NEW ORLEANS EAST HOSPITAL,5620 READ BLVD,NEW ORLEANS,LA,70127,ORLEANS,(504) 592-6600,Acute Care Hospitals,Government - Hospital District or Authority
+45243,SUMMIT MEDICAL CENTER,6350 E 2ND STREET,CASPER,WY,82609,NATRONA,(307) 232-6600,Acute Care Hospitals,Physician
+85877,"SAINT FRANCIS HOSPITAL SOUTH, LLC",10501 EAST 91ST STREET SOUTH,TULSA,OK,74133,TULSA,(918) 307-6000,Acute Care Hospitals,Voluntary non-profit - Private
+87265,OLMSTED MEDICAL CENTER,1650 FOURTH STREET SOUTHEAST,ROCHESTER,MN,55904,OLMSTED,(507) 287-2761,Acute Care Hospitals,Voluntary non-profit - Private
+39505,MILLCREEK COMMUNITY HOSPITAL,5515 PEACH STREET,ERIE,PA,16509,ERIE,(814) 864-4031,Acute Care Hospitals,Voluntary non-profit - Private
+85049,ROCKCASTLE REGIONAL HOSPITAL & RESPIRATORY CARE CT,145 NEWCOMB AVENUE,MOUNT VERNON,KY,40456,ROCKCASTLE,(606) 256-2195,Acute Care Hospitals,Voluntary non-profit - Private
+61879,SANFORD JACKSON MEDICAL CENTER,1430 NORTH HIGHWAY,JACKSON,MN,56143,JACKSON,(507) 847-2420,Critical Access Hospitals,Voluntary non-profit - Private
+84549,ST LUKE'S MCCALL,1000 STATE STREET,BURGDORF,ID,83638,VALLEY,(208) 630-2395,Critical Access Hospitals,Voluntary non-profit - Private
+62917,WELLSTAR DOUGLAS HOSPITAL,8954 HOSPITAL DRIVE,DOUGLASVILLE,GA,30134,DOUGLAS,(770) 949-1500,Acute Care Hospitals,Voluntary non-profit - Private
+59226,COX BARTON COUNTY HOSPITAL,29 NW 1ST LANE,LAMAR,MO,64759,BARTON,(417) 682-6081,Critical Access Hospitals,Government - Local
+46158,READING HOSPITAL,420 S 5TH AVENUE,WEST READING,PA,19611,BERKS,(610) 988-8000,Acute Care Hospitals,Voluntary non-profit - Other
+28588,PIPESTONE COUNTY  MEDICAL CENTER,916 4TH AVENUE SOUTHWEST,PIPESTONE,MN,56164,PIPESTONE,(507) 825-5811,Critical Access Hospitals,Government - Local
+10932,CHEYENNE COUNTY HOSPITAL,210 WEST 1ST STREET,ST FRANCIS,KS,67756,CHEYENNE,(785) 332-2104,Critical Access Hospitals,Voluntary non-profit - Private
+48939,JAMESTOWN REGIONAL MEDICAL CENTER,2422 20TH ST SW,JAMESTOWN,ND,58401,STUTSMAN,(701) 252-1050,Critical Access Hospitals,Voluntary non-profit - Private
+75198,UNIVERSITY OF SOUTH ALABAMA MEDICAL CENTER,2451 FILLINGIM STREET,MOBILE,AL,36617,MOBILE,(251) 471-7110,Acute Care Hospitals,Government - State
+25816,SOUTHERN NEVADA ADULT MENTAL HEALTH SERVICES,6161 W CHARLESTON BLVD,LAS VEGAS,NV,89146,CLARK,(702) 486-6000,Psychiatric,Government - State
+18644,DALLAS MEDICAL CENTER,7 MEDICAL PARKWAY,DALLAS,TX,75234,DALLAS,(972) 247-1000,Acute Care Hospitals,Proprietary
+73626,SIGNATURE HEALTHCARE BROCKTON HOSPITAL,680 CENTER STREET,BROCKTON,MA,2302,PLYMOUTH,(508) 941-7000,Acute Care Hospitals,Voluntary non-profit - Other
+22534,WARNER HOSPITAL AND HEALTH SERVICES,422 W WHITE ST,CLINTON,IL,61727,DE WITT,(217) 935-9571,Critical Access Hospitals,Government - Local
+86585,NEURODIAGNOSTIC INSTITUTE,5435 E 16TH ST,INDIANAPOLIS,IN,46218,MARION,(317) 941-4000,Psychiatric,Government - State
+39617,AURORA MEDICAL CTR WASHINGTON COUNTY,1032 E SUMNER ST,HARTFORD,WI,53027,WASHINGTON,(262) 673-2300,Acute Care Hospitals,Voluntary non-profit - Private
+69855,QUEENS HOSPITAL CENTER,82-68 164TH STREET,JAMAICA,NY,11432,QUEENS,(718) 883-3000,Acute Care Hospitals,Government - Local
+58923,LAUDERDALE COMMUNITY HOSPITAL,326 ASBURY AVENUE,RIPLEY,TN,38063,LAUDERDALE,(731) 221-2200,Critical Access Hospitals,Proprietary
+19255,HAVEN BEHAVIORAL HOSPITAL OF PHILADELPHIA,"3301 SCOTTS LANE, FOUR FALLS BUILDING",PHILADELPHIA,PA,19129,PHILADELPHIA,(215) 475-3400,Psychiatric,Proprietary
+78281,LAWRENCE & MEMORIAL HOSPITAL,365 MONTAUK AVE,NEW LONDON,CT,6320,NEW LONDON,(860) 442-0711,Acute Care Hospitals,Voluntary non-profit - Private
+87996,SHRINERS HOSPITAL FOR CHILDREN,2211 NORTH OAK PARK AVE,CHICAGO,IL,60707,COOK,(773) 622-5400,Childrens,Voluntary non-profit - Private
+51668,AVERA DE SMET MEMORIAL HOSPITAL - CAH,306 PRAIRIE AVENUE SW  POST OFFICE BOX 160,DE SMET,SD,57231,KINGSBURY,(605) 854-3329,Critical Access Hospitals,Voluntary non-profit - Private
+11111,COLORADO PLAINS MEDICAL CENTER,1000 LINCOLN ST,FORT MORGAN,CO,80701,MORGAN,(970) 867-3391,Acute Care Hospitals,Voluntary non-profit - Other
+63840,"CALDWELL MEMORIAL HOSPITAL, INC",411 MAIN STREET,COLUMBIA,LA,71418,CALDWELL,(318) 649-6111,Acute Care Hospitals,Voluntary non-profit - Private
+11026,ADVENTHEALTH NEW SMYRNA BEACH,401 PALMETTO ST,NEW SMYRNA BEACH,FL,32170,VOLUSIA,(386) 424-5100,Acute Care Hospitals,Voluntary non-profit - Church
+30463,UNION HOSPITAL,659 BOULEVARD,DOVER,OH,44622,TUSCARAWAS,(330) 343-3311,Acute Care Hospitals,Voluntary non-profit - Other
+72091,GLENDALE ADVENTIST MEDICAL CENTER,1509 E WILSON TERRACE,GLENDALE,CA,91206,LOS ANGELES,(818) 409-8202,Acute Care Hospitals,Voluntary non-profit - Private
+70746,RIVERVIEW REGIONAL MEDICAL CENTER,600 SOUTH THIRD STREET,GADSDEN,AL,35901,ETOWAH,(256) 543-5200,Acute Care Hospitals,Proprietary
+37346,THEDACARE MEDICAL CENTER NEW LONDON,1405 MILL ST,NEW LONDON,WI,54961,WAUPACA,(920) 531-2000,Critical Access Hospitals,Voluntary non-profit - Private
+24648,HARDEMAN COUNTY MEMORIAL HOSPITAL,402 MERCER ST,QUANAH,TX,79252,HARDEMAN,(940) 663-2795,Critical Access Hospitals,Government - Hospital District or Authority
+24860,ENGLEWOOD COMMUNITY HOSPITAL,700 MEDICAL BLVD,ENGLEWOOD,FL,34223,SARASOTA,(941) 475-6571,Acute Care Hospitals,Proprietary
+11765,LEESBURG REGIONAL MEDICAL CENTER,600 E DIXIE AVE,LEESBURG,FL,34748,LAKE,(352) 323-5762,Acute Care Hospitals,Voluntary non-profit - Private
+16498,BAYLOR SURGICAL HOSPITAL AT LAS COLINAS,400 WEST INTERSTATE 635 SUITE 101,IRVING,TX,75063,DALLAS,(972) 868-4000,Acute Care Hospitals,Proprietary
+63634,UNIVERSITY BEHAVIORAL HEALTH CARE,671 HOES LANE WEST,PISCATAWAY,NJ,8854,MIDDLESEX,(732) 235-5900,Psychiatric,Government - State
+66008,INTEGRIS COMMUNITY HOSPITAL - COUNCIL CROSSING,9417 N COUNCIL ROAD,OKLAHOMA CITY,OK,73162,OKLAHOMA,(405) 550-3280,Acute Care Hospitals,Proprietary
+78208,HAMILTON MEDICAL CENTER,1200 MEMORIAL DRIVE,DALTON,GA,30720,WHITFIELD,(706) 272-6105,Acute Care Hospitals,Voluntary non-profit - Private
+84006,MERCY HOSPITAL BERRYVILLE,214 CARTER STREET,BERRYVILLE,AR,72616,CARROLL,(870) 423-3355,Critical Access Hospitals,Voluntary non-profit - Church
+52041,SKIFF MEDICAL CENTER,204 N 4TH AVE E,NEWTON,IA,50208,JASPER,(641) 792-1273,Acute Care Hospitals,Voluntary non-profit - Private
+84737,LEWIS COUNTY GENERAL HOSPITAL,7785 NORTH STATE STREET,LOWVILLE,NY,13367,LEWIS,(315) 376-5200,Critical Access Hospitals,Voluntary non-profit - Other
+51669,MINDEN MEDICAL CENTER,NO 1 MEDICAL PLAZA,MINDEN,LA,71055,WEBSTER,(318) 377-2321,Acute Care Hospitals,Proprietary
+94103,ST ELIZABETH GRANT,238 BARNES ROAD,WILLIAMSTOWN,KY,41097,GRANT,(859) 824-8105,Critical Access Hospitals,Voluntary non-profit - Church
+27472,UPMC MEMORIAL,1701 INNOVATION DRIVE,YORK,PA,17408,YORK,(717) 843-8623,Acute Care Hospitals,Voluntary non-profit - Private
+17631,AMERICAN FORK HOSPITAL,170 NORTH 1100 EAST,AMERICAN FORK,UT,84003,UTAH,(801) 855-3305,Acute Care Hospitals,Voluntary non-profit - Private
+84336,HIMA-SAN PABLO FAJARDO,GENERAL VALERO AVE#404,FAJARDO,PR,738,FAJARDO,(787) 655-0505,Acute Care Hospitals,Proprietary
+64033,GUTTENBERG MUNICIPAL HOSPITAL,200 MAIN STREET,GUTTENBERG,IA,52052,CLAYTON,(563) 252-1121,Critical Access Hospitals,Government - Local
+61919,NORTHEASTERN HEALTH SYSTEM,1400 EAST DOWNING STREET,TAHLEQUAH,OK,74465,CHEROKEE,(918) 456-0641,Acute Care Hospitals,Government - Local
+40432,HANCOCK COUNTY HEALTH SYSTEM,532 1ST ST NW,BRITT,IA,50423,HANCOCK,(641) 843-5000,Critical Access Hospitals,Government - Local
+69089,BAPTIST HEALTH LA GRANGE,1025 NEW MOODY LANE,LA GRANGE,KY,40031,OLDHAM,(502) 222-5388,Acute Care Hospitals,Voluntary non-profit - Private
+14620,UNITED HOSPITAL CENTER,327 MEDICAL PARK DRIVE,BRIDGEPORT,WV,26330,HARRISON,(681) 342-1000,Acute Care Hospitals,Voluntary non-profit - Private
+37204,SAUNDERS MEDICAL CENTER,1760 COUNTY RD J,WAHOO,NE,68066,SAUNDERS,(402) 443-4191,Critical Access Hospitals,Government - Local
+88251,SENTARA NORTHERN VIRGINIA MEDICAL CENTER,2300 OPITZ BOULEVARD,WOODBRIDGE,VA,22191,PRINCE WILLIAM,(703) 523-1000,Acute Care Hospitals,Voluntary non-profit - Private
+67251,SILVER CROSS HOSPITAL  AND MEDICAL CENTERS,1900 SILVER CROSS BLVD,NEW LENOX,IL,60451,WILL,(815) 300-1100,Acute Care Hospitals,Voluntary non-profit - Private
+35120,"NEUROPSYCHIATRIC HOSPITAL OF INDIANAPOLIS, LLC","6720 PARKDALE PLACE, SUITE 100",INDIANAPOLIS,IN,46254,MARION,(317) 744-9200,Psychiatric,Proprietary
+94228,ADVENTIST BOLINGBROOK HOSPITAL,500 REMINGTON BOULEVARD,BOLINGBROOK,IL,60440,WILL,(630) 312-5000,Acute Care Hospitals,Voluntary non-profit - Private
+52345,CATSKILL REGIONAL MEDICAL CENTER,68 HARRIS BUSHVILLE ROAD,HARRIS,NY,12742,SULLIVAN,(845) 794-3300,Acute Care Hospitals,Voluntary non-profit - Private
+39179,STANDING ROCK INDIAN HEALTH SERVICE HOSPITAL,10 NORTH RIVER ROAD,FORT YATES,ND,58538,SIOUX,(701) 854-3831,Acute Care Hospitals,Government - Federal
+77343,METHODIST MCKINNEY HOSPITAL,8000 W ELDORADO PKWY BLDG C SUITE C,MCKINNEY,TX,75070,COLLIN,(214) 491-5710,Acute Care Hospitals,Proprietary
+52377,PELHAM MEDICAL CENTER,250 WESTMORELAND ROAD,GREER,SC,29651,GREENVILLE,(864) 560-6554,Acute Care Hospitals,Government - Hospital District or Authority
+28785,SAINT VINCENT HOSPITAL,232 WEST 25TH STREET,ERIE,PA,16544,ERIE,(814) 452-5111,Acute Care Hospitals,Voluntary non-profit - Private
+20563,RIVER OAKS HOSPITAL,1525 RIVER OAKS WEST,HARAHAN,LA,70123,JEFFERSON,(504) 734-1740,Psychiatric,Proprietary
+92905,MIMBRES MEMORIAL HOSPITAL,900 W ASH,DEMING,NM,88031,LUNA,(575) 546-5803,Critical Access Hospitals,Proprietary
+74561,ADVANCED SURGICAL HOSPITAL,100 TRICH DRIVE,WASHINGTON,PA,15301,WASHINGTON,(724) 884-0710,Acute Care Hospitals,Physician
+29934,INSPIRA BEHAVIOR CARE CORP,CALLE GUADALUPE 184 (ANTIGUO HOSPITAL SAN LUCAS),PONCE,PR,733,PONCE,(787) 709-4130,Psychiatric,Proprietary
+93119,SALINA REGIONAL HEALTH CENTER,400 SOUTH SANTA FE AVENUE,SALINA,KS,67401,SALINE,(785) 452-7000,Acute Care Hospitals,Voluntary non-profit - Private
+85924,GOSHEN GENERAL HOSPITAL,200 HIGH PARK AVE,GOSHEN,IN,46526,ELKHART,(574) 364-1000,Acute Care Hospitals,Voluntary non-profit - Private
+40666,LAC/OLIVE VIEW-UCLA MEDICAL CENTER,14445 OLIVE VIEW DRIVE,SYLMAR,CA,91342,LOS ANGELES,(818) 364-1555,Acute Care Hospitals,Voluntary non-profit - Other
+43493,CREEK NATION COMMUNITY HOSPITAL,1800 E COPLIN,OKEMAH,OK,74859,OKFUSKEE,(918) 623-1424,Critical Access Hospitals,Tribal
+71593,UMD SHORE MEDICAL CTR AT CHESTERTOWN,100 BROWN STREET,CHESTERTOWN,MD,21620,KENT,(410) 778-7668,Acute Care Hospitals,Voluntary non-profit - Private
+36828,MONTEREY PARK HOSPITAL,900 S ATLANTIC BLVD,MONTEREY PARK,CA,91754,LOS ANGELES,(626) 570-9000,Acute Care Hospitals,Proprietary
+57955,BAYLOR MEDICAL CENTER AT FRISCO,5601 WARREN PARKWAY,FRISCO,TX,75034,DENTON,(214) 618-2000,Acute Care Hospitals,Proprietary
+77456,ILLINOIS VALLEY COMMUNITY HOSPITAL,925 WEST ST,PERU,IL,61354,LA SALLE,(815) 223-3300,Acute Care Hospitals,Voluntary non-profit - Private
+50462,ORTONVILLE AREA HEALTH SERVICES,450 EASTVOLD AVE,ORTONVILLE,MN,56278,BIG STONE,(320) 839-2505,Critical Access Hospitals,Government - Local
+19604,SPECTRUM HEALTH REED CITY HOSPITAL,"300 N PATTERSON, PO BOX 75",REED CITY,MI,49677,OSCEOLA,(231) 832-3271,Critical Access Hospitals,Voluntary non-profit - Private
+65726,EL PASO BEHAVIORAL HEALTH SYSTEM,1900 DENVER AVE,EL PASO,TX,79902,EL PASO,(915) 544-4000,Psychiatric,Proprietary
+83326,CENTRAL WASHINGTON HOSPITAL,1201 SOUTH MILLER STREET,WENATCHEE,WA,98807,CHELAN,(509) 662-1511,Acute Care Hospitals,Voluntary non-profit - Private
+65038,ACADIA ST LANDRY,810 SOUTH BROADWAY STREET,CHURCH POINT,LA,70525,ACADIA,(337) 684-5435,Critical Access Hospitals,Government - Hospital District or Authority
+65344,RUBY VALLEY MEDICAL CENTER,321 MADISON ST,SHERIDAN,MT,59749,MADISON,(406) 842-5453,Critical Access Hospitals,Voluntary non-profit - Private
+90351,PINNACLE HOSPITAL,9301 CONNECTICUT DR,CROWN POINT,IN,46307,LAKE,(219) 756-2100,Acute Care Hospitals,Physician
+47899,NATCHITOCHES REGIONAL MEDICAL CENTER,501 KEYSER AVE,NATCHITOCHES,LA,71457,NATCHITOCHES,(318) 471-2628,Acute Care Hospitals,Government - Hospital District or Authority
+40167,CULBERSON HOSPITAL,EISENHOWER ROAD AND FM 2185,VAN HORN,TX,79855,CULBERSON,(432) 283-2760,Critical Access Hospitals,Proprietary
+50672,ERLANGER MEDICAL CENTER,975 E 3RD ST,CHATTANOOGA,TN,37403,HAMILTON,(423) 778-7000,Acute Care Hospitals,Government - Hospital District or Authority
+66885,PIONEER MEDICAL CENTER,301 W 7TH AVE,BIG TIMBER,MT,59011,SWEET GRASS,(406) 932-4603,Critical Access Hospitals,Voluntary non-profit - Private
+31697,CAROLINA PINES REGIONAL MEDICAL CENTER,1304 W BOBO NEWSOM HWY,HARTSVILLE,SC,29550,DARLINGTON,(864) 339-2100,Acute Care Hospitals,Proprietary
+17817,RIVERSIDE UNIVERSITY HEALTH SYSTEM-MEDICAL CENTER,26520 CACTUS AVENUE,MORENO VALLEY,CA,92555,RIVERSIDE,(951) 486-4000,Acute Care Hospitals,Government - Local
+58258,MEMORIAL HOSPITAL OF CARBON COUNTY,2221 WEST ELM STREET,RAWLINS,WY,82301,CARBON,(307) 324-2221,Critical Access Hospitals,Government - Local
+56579,KIOWA COUNTY MEMORIAL HOSPITAL,721 WEST KANSAS,GREENSBURG,KS,67054,KIOWA,(620) 723-3341,Critical Access Hospitals,Government - Local
+36961,ADVENTIST HEALTH TILLAMOOK,1000 THIRD STREET,TILLAMOOK,OR,97141,TILLAMOOK,(503) 842-4444,Critical Access Hospitals,Voluntary non-profit - Church
+68322,"SAINT ALPHONSUS MEDICAL CENTER - BAKER CITY, INC",3325 POCAHONTAS ROAD,BAKER CITY,OR,97814,BAKER,(541) 524-7744,Critical Access Hospitals,Voluntary non-profit - Church
+14122,MOUNT DESERT ISLAND HOSPITAL,"10 WAYMAN LANE, PO BOX 8",BAR HARBOR,ME,4609,HANCOCK,(207) 288-5081,Critical Access Hospitals,Voluntary non-profit - Private
+35442,NORTHEAST ALABAMA REGIONAL MEDICAL CENTER,400 EAST 10TH STREET,ANNISTON,AL,36207,CALHOUN,(256) 235-5121,Acute Care Hospitals,Government - Local
+65885,TAUNTON STATE HOSPITAL,"60 HODGES AVENUE, BOX 151",TAUNTON,MA,2780,BRISTOL,(508) 977-3000,Psychiatric,Government - State
+94472,NORTON HOSPITAL / NORTON HEALTHCARE PAVILION / NOR,200 EAST CHESTNUT STREET,LOUISVILLE,KY,40202,JEFFERSON,(502) 629-8000,Acute Care Hospitals,Voluntary non-profit - Private
+38767,KOSCIUSKO COMMUNITY HOSPITAL,2101 E DUBOIS DR,WARSAW,IN,46580,KOSCIUSKO,(574) 267-3200,Acute Care Hospitals,Proprietary
+87342,PRESENCE SAINT JOSEPH MEDICAL CENTER,333 N MADISON ST,JOLIET,IL,60435,WILL,(815) 725-7133,Acute Care Hospitals,Voluntary non-profit - Church
+47561,SUGAR LAND SURGICAL HOSPITAL LLP,16906 SOUTHWEST FREEWAY,SUGAR LAND,TX,77479,FORT BEND,(281) 243-1000,Acute Care Hospitals,Physician
+59808,GREATER REGIONAL MEDICAL CENTER,1700 WEST TOWNLINE STREET,CRESTON,IA,50801,UNION,(641) 782-7091,Critical Access Hospitals,Government - Local
+36738,POPLAR SPRINGS HOSPITAL,350 POPLAR DRIVE  PO BOX 3060,PETERSBURG,VA,23805,PETERSBURG CITY,(804) 733-6874,Psychiatric,Proprietary
+48863,ESSENTIA HEALTH FOSSTON,900 HILLIGOSS BOULEVARD SE,FOSSTON,MN,56542,POLK,(218) 435-1133,Critical Access Hospitals,Voluntary non-profit - Private
+39704,CHI ST LUKES HEALTH MEMORIAL LUFKIN,1201 WEST FRANK STREET,LUFKIN,TX,75901,ANGELINA,(936) 634-8111,Acute Care Hospitals,Voluntary non-profit - Private
+61766,ALLEGAN GENERAL HOSPITAL,555 LINN STREET,ALLEGAN,MI,49010,ALLEGAN,(269) 686-4101,Critical Access Hospitals,Voluntary non-profit - Other
+31364,MERCY MEDICAL CENTER - CEDAR RAPIDS,701 10TH STREET SE,CEDAR RAPIDS,IA,52403,LINN,(319) 398-6011,Acute Care Hospitals,Voluntary non-profit - Church
+48990,DEKALB HEALTH,1316 E SEVENTH ST,AUBURN,IN,46706,DE KALB,(260) 925-4600,Acute Care Hospitals,Voluntary non-profit - Private
+65489,CLEVELAND CLINIC,9500 EUCLID AVENUE,CLEVELAND,OH,44195,CUYAHOGA,(216) 445-8400,Acute Care Hospitals,Voluntary non-profit - Private
+21347,MEDICAL CENTER ENTERPRISE,400 N EDWARDS STREET,ENTERPRISE,AL,36330,COFFEE,(334) 347-0584,Acute Care Hospitals,Proprietary
+57019,ST LUKE'S WOOD RIVER MEDICAL CENTER,100 HOSPITAL DRIVE,KETCHUM,ID,83340,BLAINE,(208) 727-8800,Critical Access Hospitals,Voluntary non-profit - Private
+33335,DUBLIN SPRINGS,7625 HOSPITAL DRIVE,DUBLIN,OH,43016,FRANKLIN,(614) 300-9100,Psychiatric,Proprietary
+51137,GEORGETOWN BEHAVIORAL HEALTH INSTITUTE,3101 S AUSTIN AVENUE,GEORGETOWN,TX,78626,WILLIAMSON,(248) 905-5091,Psychiatric,Proprietary
+50744,COLUMBUS COMMUNITY HOSPITAL,4600 38TH ST,COLUMBUS,NE,68601,PLATTE,(402) 562-3351,Acute Care Hospitals,Voluntary non-profit - Other
+51952,TEXAS HEALTH PRESBYTERIAN HOSPITAL  DALLAS,8200 WALNUT HILL LANE,DALLAS,TX,75231,DALLAS,(214) 345-6789,Acute Care Hospitals,Voluntary non-profit - Private
+40849,NORTH VALLEY HOSPITAL,203 SOUTH WESTERN,TONASKET,WA,98855,OKANOGAN,(509) 486-2151,Critical Access Hospitals,Government - Local
+91083,WAGNER COMMUNITY MEMORIAL HOSPITAL - CAH,513 3RD ST SW  POST OFFICE BOX 280,WAGNER,SD,57380,CHARLES MIX,(605) 384-3611,Critical Access Hospitals,Voluntary non-profit - Other
+82436,ST ELIZABETH FLORENCE,4900 HOUSTON ROAD,FLORENCE,KY,41042,BOONE,(859) 212-5220,Acute Care Hospitals,Voluntary non-profit - Private
+55442,MIDDLE TN MENTAL HEALTH INSTITUTE,221 STEWARTS FERRY PIKE,NASHVILLE,TN,37214,DAVIDSON,(615) 902-7565,Psychiatric,Government - State
+78475,DEL AMO HOSPITAL,23700 CAMINO DEL SOL,TORRANCE,CA,90505,LOS ANGELES,(310) 530-1151,Psychiatric,Proprietary
+77503,DESERT SPRINGS HOSPITAL,2075 EAST FLAMINGO ROAD,LAS VEGAS,NV,89119,CLARK,(702) 369-7600,Acute Care Hospitals,Proprietary
+77635,ST VINCENT MEDICAL CENTER/NORTH,2215 WILDWOOD AVENUE,SHERWOOD,AR,72120,PULASKI,(501) 552-7100,Acute Care Hospitals,Voluntary non-profit - Church
+55661,NORTHWEST CENTER FOR BEHAVIORAL HEALTH (NCBH),1 MILE EAST US HIGHWAY 270,FORT SUPPLY,OK,73841,WOODWARD,(580) 766-2311,Psychiatric,Government - State
+55980,CEDAR HILLS HOSPITAL,10300 SW EASTRIDGE STREET,PORTLAND,OR,97225,WASHINGTON,(503) 944-5000,Psychiatric,Proprietary
+30806,IRAAN GENERAL HOSPITAL,600 HIGHWAY 349 NORTH,IRAAN,TX,79744,PECOS,(432) 639-2575,Critical Access Hospitals,Government - Hospital District or Authority
+86988,COPIAH COUNTY MEDICAL CENTER,21790 HIGHWAY 28,HAZLEHURST,MS,39083,COPIAH,(601) 574-7000,Critical Access Hospitals,Government - Local
+19226,ST JUDE MEDICAL CENTER,101 E VALENCIA MESA DRIVE,FULLERTON,CA,92835,ORANGE,(714) 992-3000,Acute Care Hospitals,Voluntary non-profit - Church
+32795,BROADLAWNS MEDICAL CENTER,1801 HICKMAN ROAD,DES MOINES,IA,50314,POLK,(515) 282-2200,Acute Care Hospitals,Government - Local
+81067,BROOKS MEMORIAL HOSPITAL,529 CENTRAL AVENUE,DUNKIRK,NY,14048,CHAUTAUQUA,(716) 366-1111,Acute Care Hospitals,Voluntary non-profit - Private
+40693,J PAUL JONES HOSPITAL,317 MCWILLIAMS AVENUE,CAMDEN,AL,36726,WILCOX,(334) 682-4131,Acute Care Hospitals,Voluntary non-profit - Other
+77542,TANNER MEDICAL CENTER VILLA RICA,601 DALLAS HIGHWAY,VILLA RICA,GA,30180,CARROLL,(770) 456-3101,Acute Care Hospitals,Government - Hospital District or Authority
+68477,ABRAHAM LINCOLN MEMORIAL HOSPITAL,200 STAHLHUT DRIVE,LINCOLN,IL,62656,LOGAN,(217) 732-2161,Critical Access Hospitals,Voluntary non-profit - Private
+15530,PARKER ADVENTIST HOSPITAL,9395 CROWN CREST BLVD,PARKER,CO,80138,DOUGLAS,(303) 269-4000,Acute Care Hospitals,Voluntary non-profit - Private
+12599,AVERA GETTYSBURG HOSPITAL,606 EAST GARFIELD,GETTYSBURG,SD,57442,POTTER,(605) 765-2480,Critical Access Hospitals,Voluntary non-profit - Church
+37340,LONG ISLAND COMMUNITY HOSPITAL,101 HOSPITAL ROAD,PATCHOGUE,NY,11772,SUFFOLK,(631) 654-7100,Acute Care Hospitals,Voluntary non-profit - Private
+58042,TEXAS HEALTH HEB,1600 HOSPITAL PARKWAY,BEDFORD,TX,76022,TARRANT,(817) 848-4000,Acute Care Hospitals,Voluntary non-profit - Private
+79730,"THE OUTER BANKS HOSPITAL, INC",4800 SOUTH CROATAN HIGHWAY,NAGS HEAD,NC,27959,DARE,(252) 449-4500,Critical Access Hospitals,Voluntary non-profit - Private
+64884,Keller ACH (West Point),900 Washington Rd,West Point,NY,10996,ORANGE,(845) 938-4034,Acute Care - Department of Defense,Department of Defense
+67317,DELL SETON  MED CENTER AT THE UNIVERSITY OF TX,601 E 15TH STREET,AUSTIN,TX,78701,TRAVIS,(512) 324-7000,Acute Care Hospitals,Voluntary non-profit - Private
+73244,PASSAVANT AREA HOSPITAL,1600 W WALNUT ST,JACKSONVILLE,IL,62650,MORGAN,(217) 245-9551,Acute Care Hospitals,Voluntary non-profit - Private
+85111,MONTEFIORE NEW ROCHELLE HOSPITAL,16 GUION PLACE,NEW ROCHELLE,NY,10802,WESTCHESTER,(914) 632-5000,Acute Care Hospitals,Voluntary non-profit - Private
+52572,STARR COUNTY MEMORIAL HOSPITAL,128  N FM RD 3167,RIO GRANDE CITY,TX,78582,STARR,(956) 487-5561,Acute Care Hospitals,Government - Hospital District or Authority
+16052,EAST ALABAMA MEDICAL CENTER,2000 PEPPERELL PARKWAY,OPELIKA,AL,36801,LEE,(334) 749-3411,Acute Care Hospitals,Government - Hospital District or Authority
+67045,WINNESHIEK MEDICAL CENTER,901 MONTGOMERY STREET,DECORAH,IA,52101,WINNESHIEK,(563) 382-2911,Critical Access Hospitals,Government - Local
+86424,OHIO VALLEY GENERAL HOSPITAL,25 HECKEL ROAD,MCKEES ROCKS,PA,15136,ALLEGHENY,(412) 777-6161,Acute Care Hospitals,Voluntary non-profit - Private
+61860,MERIT HEALTH NATCHEZ,52 SERGEANT PRENTISS DRIVE,NATCHEZ,MS,39120,ADAMS,(601) 443-2100,Acute Care Hospitals,Proprietary
+60187,PROMEDICA MONROE REGIONAL HOSPITAL,718 N MACOMB ST,MONROE,MI,48162,MONROE,(734) 240-8400,Acute Care Hospitals,Voluntary non-profit - Other
+12862,MEMORIAL HEALTH CARE SYSTEMS,300 NORTH COLUMBIA AVE,SEWARD,NE,68434,SEWARD,(402) 643-2971,Critical Access Hospitals,Voluntary non-profit - Private
+44838,PALO PINTO GENERAL HOSPITAL,400 SOUTHWEST 25 AVE,MINERAL WELLS,TX,76067,PALO PINTO,(940) 325-7891,Acute Care Hospitals,Government - Hospital District or Authority
+71833,DELAWARE COUNTY MEMORIAL HOSPITAL,501 NORTH LANSDOWNE AVE,DREXEL HILL,PA,19026,DELAWARE,(215) 284-8100,Acute Care Hospitals,Voluntary non-profit - Private
+38271,ONEIDA HEALTH HOSPITAL,321 GENESEE STREET,ONEIDA,NY,13421,MADISON,(315) 363-6000,Acute Care Hospitals,Voluntary non-profit - Other
+60941,VALLEY HOSPITAL,223 N VAN DIEN AVENUE,RIDGEWOOD,NJ,7450,BERGEN,(201) 447-8000,Acute Care Hospitals,Voluntary non-profit - Private
+68695,TENNOVA HEALTHCARE-CLEVELAND,2305 CHAMBLISS AVE NW,CLEVELAND,TN,37311,BRADLEY,(423) 339-4132,Acute Care Hospitals,Proprietary
+61153,OLYMPIA MEDICAL CENTER,5900 WEST OLYMPIC BOULEVARD,LOS ANGELES,CA,90036,LOS ANGELES,(310) 657-5900,Acute Care Hospitals,Proprietary
+68981,LAUREL RIDGE TREATMENT CENTER,17720 CORPORATE WOODS DRIVE,SAN ANTONIO,TX,78259,BEXAR,(512) 491-9400,Psychiatric,Proprietary
+51483,CAPE FEAR VALLEY HOKE HOSPITAL,210 MEDICAL PAVILION DRIVE,RAEFORD,NC,28376,HOKE,(910) 904-8000,Acute Care Hospitals,Voluntary non-profit - Private
+23802,HOUSTON METHODIST WEST HOSPITAL,18500 KATY FREEWAY,HOUSTON,TX,77094,HARRIS,(832) 522-1000,Acute Care Hospitals,Voluntary non-profit - Private
+35618,BON SECOURS MARYVIEW MEDICAL CENTER,3636 HIGH STREET,PORTSMOUTH,VA,23707,PORTSMOUTH CITY,(757) 398-2200,Acute Care Hospitals,Voluntary non-profit - Private
+55169,SOUTHSIDE REGIONAL MEDICAL CENTER,200 MEDICAL PARK BOULEVARD,PETERSBURG,VA,23805,PETERSBURG CITY,(804) 765-5000,Acute Care Hospitals,Proprietary
+27811,MEADE DISTRICT HOSPITAL,510 EAST CARTHAGE,MEADE,KS,67864,MEADE,(620) 873-2141,Critical Access Hospitals,Government - Hospital District or Authority
+29423,CRAWFORD MEMORIAL HOSPITAL,1000 NORTH ALLEN STREET,ROBINSON,IL,62454,CRAWFORD,(618) 544-3131,Critical Access Hospitals,Government - Hospital District or Authority
+70178,MAGRUDER HOSPITAL,615 FULTON ST,PORT CLINTON,OH,43452,OTTAWA,(419) 734-3131,Critical Access Hospitals,Voluntary non-profit - Private
+39490,ST ALEXIUS HOSPITAL,3933 S BROADWAY,SAINT LOUIS,MO,63118,ST. LOUIS CITY,(314) 865-7000,Acute Care Hospitals,Proprietary
+47163,ROOSEVELT MEDICAL CENTER,818 2ND AVE E,CULBERTSON,MT,59218,ROOSEVELT,(406) 787-6401,Critical Access Hospitals,Voluntary non-profit - Private
+80521,William Beaumont AMG (FT Bliss),5005 N. Piedras St.,El Paso,TX,79920,EL PASO,(915) 742-2121,Acute Care - Department of Defense,Department of Defense
+45995,ST TAMMANY PARISH HOSPITAL,1202 S TYLER STREET,COVINGTON,LA,70433,ST. TAMMANY,(985) 898-4000,Acute Care Hospitals,Government - Hospital District or Authority
+84696,ANSON GENERAL HOSPITAL,101 AVENUE J,ANSON,TX,79501,JONES,(325) 823-3231,Acute Care Hospitals,Government - Local
+59160,CENTRAL LOUISIANA SURGICAL HOSPITAL,651 NORTH BOLTON AVE,ALEXANDRIA,LA,71301,RAPIDES,(318) 449-6400,Acute Care Hospitals,Physician
+45434,WHITE PLAINS HOSPITAL CENTER,41 EAST POST R0AD,WHITE PLAINS,NY,10601,WESTCHESTER,(914) 681-0600,Acute Care Hospitals,Voluntary non-profit - Private
+93771,WICKENBURG COMMUNITY HOSPITAL,520 ROSE LANE,WICKENBURG,AZ,85390,MARICOPA,(928) 684-5421,Critical Access Hospitals,Voluntary non-profit - Private
+54317,MOBERLY REGIONAL MEDICAL CENTER,1515 UNION AVE,MOBERLY,MO,65270,RANDOLPH,(660) 263-8400,Acute Care Hospitals,Proprietary
+16716,KANSAS HEART HOSPITAL,3601 NORTH WEBB ROAD,WICHITA,KS,67226,SEDGWICK,(316) 630-5000,Acute Care Hospitals,Proprietary
+82568,PRESBYTERIAN SANTA FE MEDICAL CENTER,4801 BECKNER ROAD,SANTA FE,NM,87507,SANTA FE,(505) 923-8826,Acute Care Hospitals,Voluntary non-profit - Private
+85232,VIRGINIA MASON MEDICAL CENTER,925 SENECA ST,SEATTLE,WA,98101,KING,(206) 223-6600,Acute Care Hospitals,Voluntary non-profit - Private
+66778,DALLAS COUNTY HOSPITAL,610 TENTH STREET,PERRY,IA,50220,DALLAS,(515) 465-3547,Critical Access Hospitals,Voluntary non-profit - Other
+34600,LORETTO HOSPITAL,645 SOUTH CENTRAL AVE,CHICAGO,IL,60644,COOK,(773) 626-4300,Acute Care Hospitals,Voluntary non-profit - Other
+74513,HORSHAM CLINIC,722 EAST BUTLER PIKE,AMBLER,PA,19002,MONTGOMERY,(215) 643-7800,Psychiatric,Proprietary
+41976,SANTA FE PHS INDIAN HOSPITAL,1700 CERRILLOS ROAD,SANTA FE,NM,87501,SANTA FE,(505) 988-9821,Acute Care Hospitals,Government - Federal
+62165,MS STATE HOSPITAL-WHITFIELD,3550 HIGHWAY 468 WEST,WHITFIELD,MS,39193,RANKIN,(601) 351-8000,Psychiatric,Government - Local
+14922,CENTURA HEALTH-AVISTA ADVENTIST HOSPITAL,100 HEALTH PARK DR,LOUISVILLE,CO,80027,BOULDER,(303) 673-1280,Acute Care Hospitals,Voluntary non-profit - Church
+82759,PIEDMONT MEDICAL CENTER,222 S HERLONG AVE,ROCK HILL,SC,29730,YORK,(803) 329-1234,Acute Care Hospitals,Proprietary
+53675,MUNSON HEALTHCARE OTSEGO MEMORIAL HOSPITAL,825 N CENTER AVE,GAYLORD,MI,49735,OTSEGO,(989) 731-2100,Acute Care Hospitals,Voluntary non-profit - Private
+76230,SETON HIGHLAND LAKES,HIGHWAY 281 SOUTH,BURNET,TX,78611,BURNET,(512) 715-3000,Critical Access Hospitals,Voluntary non-profit - Private
+64444,SCOTT & WHITE HOSPITAL-ROUND ROCK,300 UNIVERSITY BLVD,ROUND ROCK,TX,78664,WILLIAMSON,(512) 509-0100,Acute Care Hospitals,Voluntary non-profit - Private
+52564,CHARLOTTE HUNGERFORD HOSPITAL,540 LITCHFIELD ST,TORRINGTON,CT,6790,LITCHFIELD,(860) 496-6666,Acute Care Hospitals,Voluntary non-profit - Private
+46128,RARITAN BAY MEDICAL CENTER PERTH AMBOY DIVISION,530 NEW BRUNSWICK AVE,PERTH AMBOY,NJ,8861,MIDDLESEX,(732) 442-3700,Acute Care Hospitals,Voluntary non-profit - Private
+23466,"ACCESS HOSPITAL DAYTON, LLC",2611 WAYNE AVENUE,DAYTON,OH,45420,MONTGOMERY,(937) 256-7801,Psychiatric,Voluntary non-profit - Private
+41361,BAYLOR SCOTT & WHITE  CLINIC - TEMPLE,2401 S  31ST ST,TEMPLE,TX,76508,BELL,(254) 724-2111,Acute Care Hospitals,Voluntary non-profit - Private
+40299,NORTHERN HOSPITAL OF SURRY COUNTY,830 ROCKFORD ST,MOUNT AIRY,NC,27030,SURRY,(336) 719-7000,Acute Care Hospitals,Government - Hospital District or Authority
+58587,MERCY HOSPITAL CASSVILLE,94 MAIN STREET,CASSVILLE,MO,65625,BARRY,(417) 847-6065,Critical Access Hospitals,Voluntary non-profit - Church
+65620,SAN GABRIEL VALLEY MEDICAL CENTER,438 W LAS TUNAS DRIVE,SAN GABRIEL,CA,91776,LOS ANGELES,(626) 289-5454,Acute Care Hospitals,Proprietary
+19035,LINTON HOSPITAL - CAH,518 NORTH BROADWAY,LINTON,ND,58552,EMMONS,(701) 254-4511,Critical Access Hospitals,Voluntary non-profit - Private
+19938,MERCY SAN JUAN MEDICAL CENTER,6501 COYLE AVE,CARMICHAEL,CA,95608,SACRAMENTO,(916) 537-5000,Acute Care Hospitals,Voluntary non-profit - Other
+40968,AVERA MCKENNAN HOSPITAL & UNIVERSITY HEALTH CENTER,1325 S CLIFF AVE  POST OFFICE BOX 5045,SIOUX FALLS,SD,57117,MINNEHAHA,(605) 322-8000,Acute Care Hospitals,Voluntary non-profit - Private
+43196,T J SAMSON COMMUNITY HOSPITAL,1301 NORTH RACE STREET,GLASGOW,KY,42141,BARREN,(270) 651-4159,Acute Care Hospitals,Voluntary non-profit - Other
+46771,ASHTABULA COUNTY MEDICAL CENTER,2420 LAKE AVENUE,ASHTABULA,OH,44004,ASHTABULA,(440) 997-2262,Acute Care Hospitals,Voluntary non-profit - Private
+68425,OCEANS BEHAVIORAL  HOSPITAL OF PERMIAN BASIN,3300 S FM 1788,MIDLAND,TX,79706,MIDLAND,(432) 561-5915,Psychiatric,Proprietary
+70574,ATLANTICARE REGIONAL MEDICAL CENTER - CITY CAMPUS,1925 PACIFIC AVENUE,ATLANTIC CITY,NJ,8401,ATLANTIC,(609) 441-8020,Acute Care Hospitals,Voluntary non-profit - Other
+19827,EDGERTON HOSPITAL AND HEALTH SERVICES,11101 N SHERMAN ROAD,EDGERTON,WI,53534,ROCK,(608) 884-3441,Critical Access Hospitals,Voluntary non-profit - Private
+31873,PETERSBURG MEDICAL CENTER,PO BOX 589,PETERSBURG,AK,99833,PETERSBURG BOROUGH,(907) 772-4291,Critical Access Hospitals,Government - Local
+85066,TRUMAN MEDICAL CENTER LAKEWOOD,7900 LEE'S SUMMIT RD,KANSAS CITY,MO,64139,JACKSON,(816) 404-7000,Acute Care Hospitals,Voluntary non-profit - Private
+74040,CARL ALBERT COMMUNITY MENTAL HEALTH CENTER,1101 EAST MONROE,MCALESTER,OK,74501,PITTSBURG,(918) 426-7800,Psychiatric,Government - State
+11813,CRITTENDEN COMMUNITY HOSPITAL,520 WEST GUM STREET,MARION,KY,42064,CRITTENDEN,(270) 965-1001,Acute Care Hospitals,Government - Local
+59185,THOMAS MEMORIAL HOSPITAL,4605 MACCORKLE AVENUE SW,SOUTH CHARLESTON,WV,25309,KANAWHA,(304) 766-3600,Acute Care Hospitals,Voluntary non-profit - Private
+75047,CENTRACARE HEALTH SYSTEM - LONG PRAIRIE,50 CENTRACARE DRIVE,LONG PRAIRIE,MN,56347,TODD,(320) 732-2141,Critical Access Hospitals,Voluntary non-profit - Private
+30013,GUAM REGIONAL MEDICAL CITY,133 ROUTE 3,DEDEDO,GU,96929,GUAM,(671) 645-5500,Acute Care Hospitals,Voluntary non-profit - Private
+16594,CONCHO COUNTY HOSPITAL,614 EAKER STREET,EDEN,TX,76837,CONCHO,(915) 869-5911,Critical Access Hospitals,Government - Hospital District or Authority
+38680,MERCY HEALTH - DEFIANCE HOSPITAL,1404 EAST SECOND STREET,DEFIANCE,OH,43512,DEFIANCE,(419) 782-8444,Acute Care Hospitals,Proprietary
+79071,PRESENCE ST MARYS HOSPITAL,500 W COURT ST,KANKAKEE,IL,60901,KANKAKEE,(815) 937-2490,Acute Care Hospitals,Voluntary non-profit - Private
+89552,WINONA HEALTH SERVICES,855 MANKATO AVENUE,WINONA,MN,55987,WINONA,(507) 454-3650,Acute Care Hospitals,Voluntary non-profit - Private
+36745,ADAIR ACUTE CARE AT OSAWATOMIE STATE HOSPITAL,500 STATE HOSPITAL DRIVE,OSAWATOMIE,KS,66064,MIAMI,(913) 755-7100,Psychiatric,Government - State
+93190,ALTON MEMORIAL HOSPITAL,ONE MEMORIAL DRIVE,ALTON,IL,62002,MADISON,(618) 463-7300,Acute Care Hospitals,Voluntary non-profit - Private
+94809,SAINT THOMAS DEKALB HOSPITAL,520 W MAIN ST,SMITHVILLE,TN,37166,DE KALB,(615) 215-5000,Acute Care Hospitals,Voluntary non-profit - Church
+35331,SAINT ANNE'S HOSPITAL,795 MIDDLE STREET,FALL RIVER,MA,2721,BRISTOL,(508) 674-5600,Acute Care Hospitals,Proprietary
+57027,KAISER FOUNDATION HOSPITAL - VACAVILLE,1 QUALITY DRIVE,VACAVILLE,CA,95688,SOLANO,(707) 624-4000,Acute Care Hospitals,Voluntary non-profit - Private
+43898,DECATUR MEMORIAL HOSPITAL,2300 NORTH EDWARD STREET,DECATUR,IL,62526,MACON,(217) 876-8121,Acute Care Hospitals,Voluntary non-profit - Other
+27750,BAY PARK COMMUNITY HOSPITAL,2801 BAY PARK DRIVE,OREGON,OH,43616,LUCAS,(419) 690-7700,Acute Care Hospitals,Voluntary non-profit - Other
+28640,KALEIDA HEALTH,100 HIGH STREET,BUFFALO,NY,14210,ERIE,(716) 859-8620,Acute Care Hospitals,Voluntary non-profit - Private
+34850,OHIOHEALTH SHELBY HOSPITAL,199 WEST MAIN STREET,SHELBY,OH,44875,RICHLAND,(419) 342-5015,Critical Access Hospitals,Voluntary non-profit - Private
+57894,ADVENTIST HEALTH CLEARLAKE,15630 18TH AVE - HWY 53,CLEARLAKE,CA,95422,LAKE,(707) 994-6486,Critical Access Hospitals,Voluntary non-profit - Church
+79818,ADVENTHEALTH ORLANDO,601 E ROLLINS ST,ORLANDO,FL,32803,ORANGE,(407) 303-1976,Acute Care Hospitals,Voluntary non-profit - Private
+10249,FRANCISCAN HEALTH LAFAYETTE,1701 S CREASY LN,LAFAYETTE,IN,47905,TIPPECANOE,(765) 502-4334,Acute Care Hospitals,Voluntary non-profit - Church
+36424,BOURNEWOOD HOSPITAL,300 SOUTH STREET,BOSTON COLLEGE,MA,2467,MIDDLESEX,(617) 469-0300,Psychiatric,Proprietary
+20861,JACKSON HOSPITAL,4250 HOSPITAL DR,MARIANNA,FL,32446,JACKSON,(850) 526-2200,Acute Care Hospitals,Government - Hospital District or Authority
+63596,FOOTHILLS HOSPITAL,4747 ARAPAHOE AVENUE,BOULDER,CO,80303,BOULDER,(303) 415-7000,Acute Care Hospitals,Voluntary non-profit - Private
+13180,SPANISH PEAKS REGIONAL HEALTH CENTER,23500 US HWY 160,WALSENBURG,CO,81089,HUERFANO,(719) 738-5100,Critical Access Hospitals,Government - Hospital District or Authority
+37801,CARRINGTON HEALTH CENTER,PO BOX 461,CARRINGTON,ND,58421,FOSTER,(701) 652-3141,Critical Access Hospitals,Voluntary non-profit - Private
+26432,SAN ANTONIO BEHAVIORAL HEALTHCARE HOSPITAL,8550 HUEBNER ROAD,SAN ANTONIO,TX,78240,BEXAR,(210) 541-5300,Psychiatric,Proprietary
+66949,"HOSPITAL OF CENTRAL CONNECTICUT, THE",100 GRAND STREET,NEW BRITAIN,CT,6050,HARTFORD,(860) 224-5011,Acute Care Hospitals,Voluntary non-profit - Other
+74250,VERDE VALLEY MEDICAL CENTER,269 SOUTH CANDY LANE,COTTONWOOD,AZ,86326,YAVAPAI,(928) 773-2357,Acute Care Hospitals,Voluntary non-profit - Private
+10786,COMMUNITY HOSPITAL OF SAN BERNARDINO,1805 MEDICAL CENTER DRIVE,SAN BERNARDINO,CA,92411,SAN BERNARDINO,(909) 887-6333,Acute Care Hospitals,Voluntary non-profit - Private
+89338,"SAINT FRANCIS HOSPITAL VINITA, INC",735 NORTH FOREMAN STREET,VINITA,OK,74301,CRAIG,(918) 256-7551,Acute Care Hospitals,Voluntary non-profit - Private
+80643,General Leonard Wood ACH (FT Leonard Wood),126 Missouri Avenue,Fort Leonard Wood,MO,65473,PULASKI,(573) 596-0035,Acute Care - Department of Defense,Department of Defense
+60934,DHHS USPHS INDIAN HEALTH SERVICES,EXIT #102 OFF I-40 1/2 MILE SOUTH,SAN FIDEL,NM,87049,CIBOLA,(505) 552-5300,Acute Care Hospitals,Government - Federal
+73969,TREGO COUNTY LEMKE MEMORIAL HOSPITAL,320 THIRTEENTH ST,WA KEENEY,KS,67672,TREGO,(785) 743-2182,Critical Access Hospitals,Government - Local
+11303,COMMUNITY MEMORIAL HOSPITAL,W180 N8085 TOWN HALL RD,MENOMONEE FALLS,WI,53051,WAUKESHA,(262) 251-1000,Acute Care Hospitals,Voluntary non-profit - Private
+14037,DOCTOR CENTER HOSPITAL SAN FERNANDO DE LA CAROLINA,EDIF JESUS T PINEIRO AVE FERNANDEZ JUNCOS BO PUEBL,CAROLINA,PR,979,SAN JUAN,(787) 725-6038,Acute Care Hospitals,Government - State
+37781,FISHER-TITUS HOSPITAL,272 BENEDICT AVENUE,NORWALK,OH,44857,HURON,(419) 668-8101,Acute Care Hospitals,Voluntary non-profit - Private
+52823,PRESENCE RESURRECTION MEDICAL CENTER,7435 W TALCOTT AVENUE,CHICAGO,IL,60631,COOK,(773) 774-8000,Acute Care Hospitals,Voluntary non-profit - Church
+57580,GALESBURG COTTAGE HOSPITAL,695 N KELLOGG ST,GALESBURG,IL,61401,KNOX,(309) 343-8131,Acute Care Hospitals,Proprietary
+64328,SOUTH DAKOTA HUMAN SERVICES CENTER,3515 BROADWAY AVE   POST OFFICE BOX 7600,YANKTON,SD,57078,YANKTON,(605) 668-3100,Psychiatric,Government - State
+27948,LIVINGSTON REGIONAL HOSPITAL,315 OAK ST BOX 550,LIVINGSTON,TN,38570,OVERTON,(931) 823-5611,Acute Care Hospitals,Proprietary
+32571,AURORA MEDICAL CENTER BURLINGTON,252 MCHENRY ST,BURLINGTON,WI,53105,RACINE,(262) 767-6545,Acute Care Hospitals,Voluntary non-profit - Private
+54264,NOVANT HEALTH MEDICAL PARK HOSPITAL,1950 S HAWTHORNE RD,WINSTON-SALEM,NC,27103,FORSYTH,(336) 718-0600,Acute Care Hospitals,Voluntary non-profit - Other
+93439,ALTUS BAYTOWN HOSPITAL,1404 W BAKER ROAD,BAYTOWN,TX,77521,HARRIS,(281) 837-7600,Acute Care Hospitals,Physician
+63058,HOWARD COUNTY GENERAL HOSPITAL,5755 CEDAR LANE,COLUMBIA,MD,21044,HOWARD,(410) 740-7890,Acute Care Hospitals,Voluntary non-profit - Private
+61844,AURORA MEDICAL CTR KENOSHA,10400 75TH ST,KENOSHA,WI,53142,KENOSHA,(262) 948-5600,Acute Care Hospitals,Voluntary non-profit - Private
+93645,HAMILTON CENTER INC,620 8TH AVE,TERRE HAUTE,IN,47804,VIGO,(812) 231-8285,Psychiatric,Voluntary non-profit - Private
+93459,GARFIELD PARK HOSPITAL,520 N RIDGEWAY AVE,CHICAGO,IL,60624,COOK,(773) 265-3700,Psychiatric,Proprietary
+75314,NORTH CENTRAL BRONX HOSPITAL,3424 KOSSUTH AVENUE & 210TH STREET,BRONX,NY,10467,BRONX,(212) 519-5000,Acute Care Hospitals,Government - Local
+29037,CLAREMORE INDIAN HOSPITAL,101 SOUTH MOORE AVE,CLAREMORE,OK,74017,ROGERS,(918) 341-8430,Acute Care Hospitals,Tribal
+19977,ASCENSION SACRED HEART HOSPITAL,401 W MOHAWK DR  SUITE 100,TOMAHAWK,WI,54487,LINCOLN,(715) 453-7700,Critical Access Hospitals,Voluntary non-profit - Church
+66899,SACRED HEART UNIVERSITY DISTRICT,1255 HILYARD STREET,EUGENE,OR,97401,LANE,(541) 686-7300,Acute Care Hospitals,Voluntary non-profit - Private
+13438,COMMUNITY BEHAVIORAL HOSPITAL FERGUS FALLS,1801 WEST ALCOTT,FERGUS FALLS,MN,56537,OTTER TAIL,(218) 332-5005,Psychiatric,Government - State
+91227,ROXBOROUGH MEMORIAL HOSPITAL,5800 RIDGE AVE,PHILADELPHIA,PA,19128,PHILADELPHIA,(215) 483-9900,Acute Care Hospitals,Proprietary
+64503,HACKENSACK MERIDIAN HEALTH CARRIER CLINIC,252 ROUTE 601,BELLE MEAD,NJ,8502,SOMERSET,(908) 281-1000,Psychiatric,Voluntary non-profit - Private
+73417,COOK HOSPITAL,10 SE FIFTH ST,COOK,MN,55723,ST. LOUIS,(218) 666-5945,Critical Access Hospitals,Government - Hospital District or Authority
+23434,REPUBLIC COUNTY HOSPITAL,2420 G STREET,BELLEVILLE,KS,66935,REPUBLIC,(785) 527-2254,Critical Access Hospitals,Voluntary non-profit - Private
+35743,JEFFERSON COMMUNITY HEALTH & LIFE,"P O BOX 277, 2200 H ST",FAIRBURY,NE,68352,JEFFERSON,(402) 729-3351,Critical Access Hospitals,Voluntary non-profit - Private
+66950,CORAL GABLES HOSPITAL,3100 DOUGLAS RD,CORAL GABLES,FL,33134,MIAMI-DADE,(305) 445-8461,Acute Care Hospitals,Proprietary
+65475,LOMPOC VALLEY MEDICAL CENTER,1515 E OCEAN AVENUE,LOMPOC,CA,93436,SANTA BARBARA,(805) 737-3300,Acute Care Hospitals,Government - Hospital District or Authority
+78412,GREENLEAF CENTER,2209 PINEVIEW DRIVE,VALDOSTA,GA,31602,LOWNDES,(229) 671-6601,Psychiatric,Proprietary
+56190,PURCELL MUNICIPAL HOSPITAL,1500 NORTH GREEN AVENUE,PURCELL,OK,73080,MCCLAIN,(405) 527-6524,Acute Care Hospitals,Government - Local
+59720,BATON ROUGE GENERAL MEDICAL CENTER,3600 FLORIDA BLVD,BATON ROUGE,LA,70806,E. BATON ROUGE,(225) 387-7767,Acute Care Hospitals,Voluntary non-profit - Private
+10329,THE HOSPITALS OF PROVIDENCE EAST CAMPUS,3280 JOE BATTLE BLVD,EL PASO,TX,79938,EL PASO,(915) 856-7349,Acute Care Hospitals,Proprietary
+28374,Brooke Army Medical Center  (FT Sam Houston),3551 Roger Brooke Drive,Fort Sam Houston,TX,78234,BEXAR,(210) 916-4141,Acute Care - Department of Defense,Department of Defense
+35820,PARK RIDGE HEALTH,100 HOSPITAL DRIVE,HENDERSONVILLE,NC,28792,HENDERSON,(828) 684-8501,Acute Care Hospitals,Voluntary non-profit - Private
+48834,Madigan AMC (FT Lewis),9040 Jackson Avenue,Tacoma,WA,98431,PIERCE,(253) 968-1110,Acute Care - Department of Defense,Department of Defense
+89308,OKEENE MUNICIPAL HOSPITAL,207 EAST F STREET,OKEENE,OK,73763,BLAINE,(580) 822-4417,Critical Access Hospitals,Government - Hospital District or Authority
+14362,ST FRANCIS REGIONAL MEDICAL CENTER,1455 ST FRANCIS AVENUE,SHAKOPEE,MN,55379,SCOTT,(952) 403-3000,Acute Care Hospitals,Voluntary non-profit - Church
+50717,MAYO CLINIC HLTH SYSTEM FRANCISCAN MED CTR,700 WEST AVENUE SOUTH,LA CROSSE,WI,54601,LA CROSSE,(608) 785-0940,Acute Care Hospitals,Voluntary non-profit - Private
+11437,FRANKLIN MEMORIAL HOSPITAL,111 FRANKLIN HEALTH COMMONS,FARMINGTON,ME,4938,FRANKLIN,(207) 778-6031,Acute Care Hospitals,Voluntary non-profit - Private
+26323,WHITE MOUNTAIN REGIONAL MEDICAL CENTER,118 SOUTH MOUNTAIN AVENUE,SPRINGERVILLE,AZ,85938,APACHE,(928) 333-4368,Critical Access Hospitals,Voluntary non-profit - Private
+40121,CARROLLTON SPRINGS,2225 PARKER ROAD,CARROLLTON,TX,75010,DENTON,(972) 242-4114,Psychiatric,Proprietary
+50759,COMMUNITY HOWARD REGIONAL HEALTH INC,3500 S LAFOUNTAIN ST,KOKOMO,IN,46902,HOWARD,(765) 776-8000,Acute Care Hospitals,Voluntary non-profit - Private
+47999,MEDICAL CITY NORTH HILLS,4401 BOOTH CALLOWAY ROAD,NORTH RICHLAND HILLS,TX,76180,TARRANT,(817) 255-1000,Acute Care Hospitals,Proprietary
+93833,CANDLER HOSPITAL,5353 REYNOLDS STREET,SAVANNAH,GA,31412,CHATHAM,(912) 819-6000,Acute Care Hospitals,Voluntary non-profit - Other
+49985,DONALSONVILLE HOSPITAL INC,102 HOSPITAL CIR,DONALSONVILLE,GA,39845,SEMINOLE,(229) 524-5217,Acute Care Hospitals,Voluntary non-profit - Private
+50296,INSPIRA MEDICAL CENTER VINELAND,1505 W SHERMAN AVE,VINELAND,NJ,8360,CUMBERLAND,(856) 641-8000,Acute Care Hospitals,Voluntary non-profit - Private
+23514,PROVIDENCE PORTLAND MEDICAL CENTER,4805 NE GLISAN STREET,PORTLAND,OR,97213,MULTNOMAH,(503) 215-1111,Acute Care Hospitals,Voluntary non-profit - Private
+31546,UNIVERSITY HOSPITAL AND MEDICAL CENTER,7201 N UNIVERSITY DR,TAMARAC,FL,33321,BROWARD,(954) 721-2200,Acute Care Hospitals,Proprietary
+39163,PERSHING MEMORIAL HOSPITAL,130 EAST LOCKLING,BROOKFIELD,MO,64628,LINN,(660) 258-2222,Critical Access Hospitals,Voluntary non-profit - Private
+52303,MERIT HEALTH BILOXI,150 REYNOIR STREET,BILOXI,MS,39530,HARRISON,(228) 436-1104,Acute Care Hospitals,Proprietary
+47571,"DUNCAN REGIONAL HOSPITAL, INC",1407 WHISENANT DRIVE,DUNCAN,OK,73533,STEPHENS,(580) 252-5300,Acute Care Hospitals,Voluntary non-profit - Private
+35321,MCLAREN PORT HURON,1221 PINE GROVE AVE,PORT HURON,MI,48060,ST. CLAIR,(810) 987-5000,Acute Care Hospitals,Voluntary non-profit - Private
+73897,LOS ANGELES COMMUNITY HOSPITAL,4081 E OLYMPIC BLVD,LOS ANGELES,CA,90023,LOS ANGELES,(323) 267-0477,Acute Care Hospitals,Proprietary
+29661,GOLETA VALLEY COTTAGE HOSPITAL,351 S PATTERSON AVE,SANTA BARBARA,CA,93111,SANTA BARBARA,(805) 681-6446,Acute Care Hospitals,Voluntary non-profit - Other
+55206,HOUSTON PHYSICIANS' HOSPITAL,333 N TEXAS AVENUE,WEBSTER,TX,77598,HARRIS,(281) 335-1700,Acute Care Hospitals,Physician
+63690,COMMUNITY MEMORIAL HOSPITAL,809 JACKSON  POST OFFICE BOX 319,BURKE,SD,57523,GREGORY,(605) 775-2621,Critical Access Hospitals,Voluntary non-profit - Private
+29196,BANNER THUNDERBIRD MEDICAL CENTER,5555 WEST THUNDERBIRD ROAD,GLENDALE,AZ,85306,MARICOPA,(602) 865-4470,Acute Care Hospitals,Government - Hospital District or Authority
+31559,SSM HEALTH ST MARY'S HOSPITAL - ST LOUIS,6420 CLAYTON RD,RICHMOND HEIGHTS,MO,63117,ST. LOUIS,(314) 768-8000,Acute Care Hospitals,Voluntary non-profit - Private
+34283,AURORA PSYCHIATRIC HOSPITAL,1220 DEWEY AVE,WAUWATOSA,WI,53213,MILWAUKEE,(414) 454-6600,Psychiatric,Voluntary non-profit - Private
+27803,PULASKI MEMORIAL HOSPITAL,616 E 13TH ST,WINAMAC,IN,46996,PULASKI,(574) 946-2100,Critical Access Hospitals,Voluntary non-profit - Other
+83197,CARO CENTER,"2000 CHAMBERS, BOX A",CARO,MI,48723,TUSCOLA,(989) 673-3191,Psychiatric,Government - State
+45956,KENTUCKY RIVER MEDICAL CENTER,540 JETT DRIVE,JACKSON,KY,41339,BREATHITT,(606) 666-6000,Acute Care Hospitals,Voluntary non-profit - Other
+51209,NANTICOKE MEMORIAL HOSPITAL,801 MIDDLEFORD RD,SEAFORD,DE,19973,SUSSEX,(302) 629-6611,Acute Care Hospitals,Voluntary non-profit - Private
+19562,MERCY HOSPITAL LEBANON,100 HOSPITAL DRIVE,LEBANON,MO,65536,LACLEDE,(417) 533-6100,Acute Care Hospitals,Voluntary non-profit - Church
+66936,BARTOW REGIONAL MEDICAL CENTER,2200 OSPREY BLVD,BARTOW,FL,33831,POLK,(863) 533-8111,Acute Care Hospitals,Proprietary
+84383,SUTTER MATERNITY & SURGERY CENTER OF SANTA CRUZ,2900 CHANTICLEER AVENUE,SANTA CRUZ,CA,95065,SANTA CRUZ,(831) 477-2200,Acute Care Hospitals,Voluntary non-profit - Private
+45101,CORNERSTONE BEHAVIORAL HEALTH HOSPITAL OF UNION CO,40 WATCHUNG WAY,BERKELEY HEIGHTS,NJ,7922,UNION,(908) 771-5857,Psychiatric,Voluntary non-profit - Other
+10328,SUMNER COUNTY HOSPITAL DISTRICT NO 1,601 SOUTH OSAGE STREET,CALDWELL,KS,67022,SUMNER,(620) 845-6492,Critical Access Hospitals,Government - Hospital District or Authority
+32070,BAYLOR SCOTT & WHITE MEDICAL CENTER  PFLUGERVILLE,2600 EAST  PFLUGERVILLE  PARKWAY,PFLUGERVILLE,TX,78660,TRAVIS,(512) 654-6100,Acute Care Hospitals,Voluntary non-profit - Private
+12787,MISSOURI DELTA MEDICAL CENTER,1008 NORTH MAIN ST,SIKESTON,MO,63801,SCOTT,(573) 471-1600,Acute Care Hospitals,Voluntary non-profit - Other
+77422,"DOCTORS' CENTER HOSPITAL, INC","MARGINAL CARRETERA NO 2, KM 47 7",MANATI,PR,674,MANATI,(787) 853-3322,Acute Care Hospitals,Proprietary
+38220,OHIOHEALTH O'BLENESS HOSPITAL,55 HOSPITAL DRIVE,ATHENS,OH,45701,ATHENS,(740) 593-5551,Acute Care Hospitals,Voluntary non-profit - Other
+47679,NAZARETH HOSPITAL,2601 HOLME AVE,PHILADELPHIA,PA,19152,PHILADELPHIA,(215) 335-6000,Acute Care Hospitals,Voluntary non-profit - Private
+16230,CHILDREN'S HOSPITAL & RESEARCH CENTER OAKLAND,747 52ND STREET,OAKLAND,CA,94609,ALAMEDA,(510) 428-3000,Childrens,Voluntary non-profit - Private
+19508,MOUNT SINAI MEDICAL CENTER,4300 ALTON RD,MIAMI BEACH,FL,33140,MIAMI-DADE,(305) 674-2121,Acute Care Hospitals,Voluntary non-profit - Private
+87599,TUALITY COMMUNITY HOSPITAL,335 SE 8TH AVENUE,HILLSBORO,OR,97123,WASHINGTON,(503) 681-1111,Acute Care Hospitals,Voluntary non-profit - Private
+19435,JENNIE STUART MEDICAL CENTER,320 WEST 18TH STREET,HOPKINSVILLE,KY,42240,CHRISTIAN,(270) 887-0100,Acute Care Hospitals,Voluntary non-profit - Private
+11061,SANFORD MEDICAL CENTER BISMARCK,300 N 7TH ST,BISMARCK,ND,58506,BURLEIGH,(701) 323-6000,Acute Care Hospitals,Voluntary non-profit - Private
+27074,ADVOCATE GOOD SAMARITAN HOSPITAL,3815 HIGHLAND AVENUE,DOWNERS GROVE,IL,60515,DU PAGE,(630) 275-5900,Acute Care Hospitals,Voluntary non-profit - Church
+77965,ALAMANCE REGIONAL MEDICAL CENTER,1240 HUFFMAN MILL RD,BURLINGTON,NC,27216,ALAMANCE,(336) 538-7000,Acute Care Hospitals,Voluntary non-profit - Private
+75753,ATRIUM HEALTH PINEVILLE,10628 PARK RD,CHARLOTTE,NC,28210,MECKLENBURG,(704) 379-5000,Acute Care Hospitals,Government - Hospital District or Authority
+86739,WESTON COUNTY HEALTH SERVICES,1124 WASHINGTON BOULEVARD,NEWCASTLE,WY,82701,WESTON,(307) 746-4491,Critical Access Hospitals,Government - Hospital District or Authority
+84442,CHI HEALTH GOOD SAMARITAN,"P O BOX 1990, 10 EAST 31ST ST",KEARNEY,NE,68848,BUFFALO,(308) 865-7100,Acute Care Hospitals,Voluntary non-profit - Church
+34869,TRISTAR SOUTHERN HILLS MEDICAL CENTER,391 WALLACE RD,NASHVILLE,TN,37211,DAVIDSON,(615) 781-4000,Acute Care Hospitals,Proprietary
+65239,WESTFIELDS HOSPITAL AND CLINIC,535 HOSPITAL RD,NEW RICHMOND,WI,54017,ST. CROIX,(715) 243-2600,Critical Access Hospitals,Voluntary non-profit - Private
+61235,SENTARA NORFOLK GENERAL HOSPITAL,600 GRESHAM DR,NORFOLK,VA,23507,NORFOLK CITY,(757) 388-3000,Acute Care Hospitals,Voluntary non-profit - Other
+10165,UTAH VALLEY HOSPITAL,1034 NORTH 500 WEST,PROVO,UT,84604,UTAH,(801) 373-7850,Acute Care Hospitals,Voluntary non-profit - Private
+35741,MEDSTAR UNION MEMORIAL HOSPITAL,201 EAST UNIVERSITY PARKWAY,BALTIMORE,MD,21218,BALTIMORE CITY,(410) 554-2227,Acute Care Hospitals,Voluntary non-profit - Other
+15995,SPARROW CLINTON HOSPITAL,805 S OAKLAND,SAINT JOHNS,MI,48879,CLINTON,(989) 224-6881,Critical Access Hospitals,Proprietary
+92249,UNIVERSITY HOSPITALS CONNEAUT MEDICAL CENTER,158 WEST MAIN ROAD,CONNEAUT,OH,44030,ASHTABULA,(440) 593-1131,Critical Access Hospitals,Voluntary non-profit - Other
+21475,EAST GEORGIA REGIONAL MEDICAL CENTER,1499 FAIR ROAD,STATESBORO,GA,30458,BULLOCH,(912) 486-1500,Acute Care Hospitals,Proprietary
+13605,MEMORIAL HOSPITAL AND HEALTH CARE CENTER,800 W 9TH ST,JASPER,IN,47546,DUBOIS,(812) 996-2345,Acute Care Hospitals,Voluntary non-profit - Church
+54563,PARKER INDIAN HEALTH CENTER,12033 AGENCY ROAD,PARKER,AZ,85344,LAPAZ,(928) 669-2137,Critical Access Hospitals,Government - Federal
+88477,USMD HOSPITAL AT ARLINGTON L P,801 W INTERSTATE 20,ARLINGTON,TX,76017,TARRANT,(817) 472-3400,Acute Care Hospitals,Physician
+22283,HUNTSVILLE HOSPITAL,101 SIVLEY RD,HUNTSVILLE,AL,35801,MADISON,(256) 265-1000,Acute Care Hospitals,Government - Hospital District or Authority
+54951,CROSSING RIVERS HEALTH MEDICAL CENTER,37868 US HWY 18,PRAIRIE DU CHIEN,WI,53821,CRAWFORD,(608) 357-2000,Critical Access Hospitals,Voluntary non-profit - Private
+72579,Winn ACH (FT Stewart),1061 Harmon Avenue,Fort Stewart,GA,31314,LIBERTY,(912) 435-6633,Acute Care - Department of Defense,Department of Defense
+67204,TIDELANDS WACCAMAW COMMUNITY HOSPITAL,4070 HIGHWAY 17 BYPASS PO DRAWER 3350,MURRELLS INLET,SC,29576,HORRY,(843) 652-1000,Acute Care Hospitals,Voluntary non-profit - Private
+36449,BEAR LAKE MEMORIAL HOSPITAL,164 SOUTH FIFTH STREET,MONTPELIER,ID,83254,BEAR LAKE,(208) 847-1630,Critical Access Hospitals,Government - Local
+90758,TRUSTPOINT HOSPITAL,1009 NORTH THOMPSON LANE,MURFREESBORO,TN,37129,RUTHERFORD,(615) 867-1111,Acute Care Hospitals,Proprietary
+67892,UNION GENERAL HOSPITAL,901 JAMES AVE,FARMERVILLE,LA,71241,UNION,(318) 368-9751,Critical Access Hospitals,Voluntary non-profit - Private
+66238,BELLIN MEMORIAL HOSPITAL,744 S WEBSTER AVE,GREEN BAY,WI,54305,BROWN,(920) 433-3500,Acute Care Hospitals,Voluntary non-profit - Private
+80589,NEW ULM MEDICAL CENTER,1324 FIFTH NORTH STREET,NEW ULM,MN,56073,BROWN,(507) 217-5000,Critical Access Hospitals,Voluntary non-profit - Private
+74057,GATEWAY REGIONAL MEDICAL CENTER,2100 MADISON AVENUE,GRANITE CITY,IL,62040,MADISON,(618) 798-3000,Acute Care Hospitals,Voluntary non-profit - Other
+12077,SHENANDOAH MEDICAL CENTER,300 PERSHING AVENUE,SHENANDOAH,IA,51601,PAGE,(712) 246-1230,Critical Access Hospitals,Voluntary non-profit - Private
+32806,NATIVIDAD MEDICAL CENTER,1441 CONSTITUTION BOULEVARD,SALINAS,CA,93906,MONTEREY,(831) 755-4195,Acute Care Hospitals,Government - Hospital District or Authority
+79907,ADVENTHEALTH NORTH PINELLAS,1395 S PINELLAS AVE,TARPON SPRINGS,FL,34689,PINELLAS,(727) 942-5000,Acute Care Hospitals,Voluntary non-profit - Other
+64014,BAPTIST HEALTH RICHMOND,801 EASTERN BYPASS,RICHMOND,KY,40475,MADISON,(859) 623-3131,Acute Care Hospitals,Voluntary non-profit - Private
+54038,BEAUFORT COUNTY MEMORIAL HOSPITAL,955 RIBAUT RD,BEAUFORT,SC,29902,BEAUFORT,(843) 522-5200,Acute Care Hospitals,Government - Local
+43482,"ASPIRUS MEDFORD HOSPITAL & CLINICS, INC",135 S GIBSON ST,MEDFORD,WI,54451,TAYLOR,(715) 748-8100,Critical Access Hospitals,Voluntary non-profit - Private
+91730,W J MANGOLD MEMORIAL HOSPITAL,320 NORTH MAIN,LOCKNEY,TX,79241,FLOYD,(806) 652-3373,Critical Access Hospitals,Government - Hospital District or Authority
+91891,STE GENEVIEVE COUNTY MEMORIAL HOSPITAL,"800 STE GENEVIEVE DRIVE, PO BOX 468",SAINTE GENEVIEVE,MO,63670,STE. GENEVIEVE,(573) 883-2751,Critical Access Hospitals,Government - Local
+45815,HANCOCK REGIONAL HOSPITAL,801 N STATE ST,GREENFIELD,IN,46140,HANCOCK,(317) 462-5544,Acute Care Hospitals,Government - Local
+21814,D C H REGIONAL MEDICAL CENTER,809 UNIVERSITY BOULEVARD EAST,TUSCALOOSA,AL,35401,TUSCALOOSA,(205) 759-7111,Acute Care Hospitals,Government - Hospital District or Authority
+42923,IOWA LUTHERAN HOSPITAL,700 EAST UNIVERSITY AVENUE,DES MOINES,IA,50316,POLK,(515) 263-5612,Acute Care Hospitals,Voluntary non-profit - Private
+87129,HOUSTON METHODIST HOSPITAL,6565 FANNIN,HOUSTON,TX,77030,HARRIS,(713) 790-2221,Acute Care Hospitals,Voluntary non-profit - Private
+61387,ST LUCIE MEDICAL CENTER,1800 SE TIFFANY AVE,PORT SAINT LUCIE,FL,34952,ST. LUCIE,(772) 335-4000,Acute Care Hospitals,Proprietary
+73295,BEACON CHILDREN'S HOSPITAL,150 HOSPITAL DRIVE,LUVERNE,AL,36049,CRENSHAW,(334) 335-5040,Psychiatric,Proprietary
+66521,ASCENSION BRIGHTON CENTER FOR RECOVERY,12851 GRAND RIVER RD,BRIGHTON,MI,48116,LIVINGSTON,(810) 227-1211,Acute Care Hospitals,Voluntary non-profit - Private
+68554,MAMMOTH HOSPITAL,85 SIERRA PARK ROAD PO BOX 660,MAMMOTH LAKES,CA,93546,MONO,(760) 934-3311,Critical Access Hospitals,Government - Hospital District or Authority
+52773,BAYLOR SCOTT AND WHITE SURGICAL HOSPITAL FORTWORTH,1800 PARK PLACE AVENUE,FORT WORTH,TX,76110,TARRANT,(682) 703-5600,Acute Care Hospitals,Physician
+34982,RIVERSIDE WALTER REED HOSPITAL,7519 HOSPITAL ROAD,GLOUCESTER,VA,23061,GLOUCESTER,(804) 693-8800,Acute Care Hospitals,Voluntary non-profit - Private
+28044,RIVERSIDE MEDICAL CENTER,350 N WALL ST,KANKAKEE,IL,60901,KANKAKEE,(815) 933-1671,Acute Care Hospitals,Voluntary non-profit - Private
+64087,PUTNAM COUNTY HOSPITAL,1542 S BLOOMINGTON ST,GREENCASTLE,IN,46135,PUTNAM,(765) 301-7300,Critical Access Hospitals,Government - Local
+24776,ST LUKE'S HOSPITAL BETHLEHEM,801 OSTRUM STREET,BETHLEHEM,PA,18015,NORTHAMPTON,(610) 954-4000,Acute Care Hospitals,Voluntary non-profit - Private
+20813,FISHERMEN'S COMMUNITY HOSPITAL,3301 OVERSEAS HWY,MARATHON,FL,33050,MONROE,(305) 743-5533,Critical Access Hospitals,Voluntary non-profit - Private
+91814,MOUNT SINAI BETH ISRAEL,FIRST AVENUE AT 16TH STREET,NEW YORK,NY,10003,NEW YORK,(212) 420-2000,Acute Care Hospitals,Voluntary non-profit - Private
+43275,CHI ST VINCENT MORRILTON,#4 HOSPITAL DRIVE,MORRILTON,AR,72110,CONWAY,(501) 977-2300,Critical Access Hospitals,Voluntary non-profit - Church
+50691,SANFORD VERMILLION HOSPITAL,20 SOUTH PLUM STREET,VERMILLION,SD,57069,CLAY,(605) 677-3500,Critical Access Hospitals,Voluntary non-profit - Private
+45629,CENTENNIAL PEAKS HOSPITAL,2255 S 88TH ST,LOUISVILLE,CO,80027,BOULDER,(303) 673-9990,Psychiatric,Government - Hospital District or Authority
+28192,ADVENTHEALTH SHAWNEE MISSION,9100 W 74TH STREET,SHAWNEE MISSION,KS,66204,JOHNSON,(913) 676-2152,Acute Care Hospitals,Voluntary non-profit - Church
+35238,OSF SAINT PAUL MEDICAL CENTER,1401 E 12TH STREET,MENDOTA,IL,61342,LA SALLE,(815) 539-7461,Critical Access Hospitals,Voluntary non-profit - Private
+72755,BLUE MOUNTAIN HOSPITAL,802 SOUTH 200 WEST,BLANDING,UT,84511,SAN JUAN,(435) 678-3993,Critical Access Hospitals,Voluntary non-profit - Private
+21667,LECONTE MEDICAL CENTER,742 MIDDLECREEK ROAD,SEVIERVILLE,TN,37862,SEVIER,(865) 446-7500,Acute Care Hospitals,Voluntary non-profit - Other
+23623,ST JOSEPHS HOSPITAL,3001 W MARTIN LUTHER KING JR BLVD,TAMPA,FL,33677,HILLSBOROUGH,(813) 870-4398,Acute Care Hospitals,Voluntary non-profit - Church
+90406,CHILDREN'S SPECIALIZED HOSPITAL,200 SOMERSET STREET,NEW BRUNSWICK,NJ,8901,MIDDLESEX,(732) 258-7050,Childrens,Voluntary non-profit - Private
+89557,METHODIST HOSPITAL OF SOUTHERN CA,300 W HUNTINGTON DR,ARCADIA,CA,91006,LOS ANGELES,(626) 445-4441,Acute Care Hospitals,Voluntary non-profit - Private
+20134,MEMORIAL HOSPITAL AND MANOR,1500 E SHOTWELL STREET,BAINBRIDGE,GA,39819,DECATUR,(229) 246-3500,Acute Care Hospitals,Government - Hospital District or Authority
+10263,LAWRENCE COUNTY HOSPITAL CAH,1065 EAST BROAD ST / PO BOX 788,MONTICELLO,MS,39654,LAWRENCE,(601) 587-4051,Critical Access Hospitals,Government - Local
+49128,"COMMUNITY MEDICAL CENTER, INC","P O BOX 399, 3307 BARADA ST",FALLS CITY,NE,68355,RICHARDSON,(402) 245-2428,Critical Access Hospitals,Voluntary non-profit - Private
+19227,SAN GORGONIO MEMORIAL HOSPITAL,600 NORTH HIGHLAND SPRINGS AVENUE,BANNING,CA,92220,RIVERSIDE,(951) 845-1121,Acute Care Hospitals,Government - Hospital District or Authority
+30551,HEART OF TEXAS MEMORIAL HOSPITAL,2008 NINE ROAD,BRADY,TX,76825,MC CULLOCH,(325) 597-2901,Critical Access Hospitals,Voluntary non-profit - Private
+65036,MCKENZIE COUNTY HEALTHCARE SYSTEMS INC,709 4TH AVE NE,WATFORD CITY,ND,58854,MCKENZIE,(701) 842-3000,Critical Access Hospitals,Voluntary non-profit - Private
+89759,BLYTHEDALE CHILDREN'S HOSPITAL,95 BRADHURST AVENUE,VALHALLA,NY,10595,WESTCHESTER,(914) 592-7555,Childrens,Voluntary non-profit - Private
+79458,VALLEY REGIONAL MEDICAL CENTER,100 A ALTON GLOOR,BROWNSVILLE,TX,78526,CAMERON,(956) 350-7000,Acute Care Hospitals,Proprietary
+18160,PALMERTON HOSPITAL,135 LAFAYETTE AVENUE,PALMERTON,PA,18071,CARBON,(610) 826-3141,Acute Care Hospitals,Voluntary non-profit - Other
+61811,DEFIANCE REGIONAL MEDICAL CENTER,1200 RALSTON AVENUE,DEFIANCE,OH,43512,DEFIANCE,(419) 783-6955,Critical Access Hospitals,Voluntary non-profit - Private
+58402,MORGAN COUNTY ARH HOSPITAL,476 LIBERTY ROAD,WEST LIBERTY,KY,41472,MORGAN,(606) 743-3186,Critical Access Hospitals,Voluntary non-profit - Private
+31329,ABRAZO SCOTTSDALE CAMPUS,3929 EAST BELL ROAD,PHOENIX,AZ,85032,MARICOPA,(602) 923-5000,Acute Care Hospitals,Proprietary
+83928,MARGARET MARY HEALTH,321 MITCHELL AVE,BATESVILLE,IN,47006,FRANKLIN,(812) 934-6624,Critical Access Hospitals,Voluntary non-profit - Private
+10646,SOUTHWESTERN MEDICAL CENTER,5602 SOUTHWEST LEE BOULEVARD,LAWTON,OK,73505,COMANCHE,(580) 531-4700,Acute Care Hospitals,Proprietary
+76758,RHEA MEDICAL CENTER,9400 RHEA COUNTY HIGHWAY,DAYTON,TN,37321,RHEA,(423) 775-1121,Critical Access Hospitals,Government - Local
+91813,MONADNOCK COMMUNITY HOSPITAL,452 OLD STREET ROAD,PETERBOROUGH,NH,3458,HILLSBOROUGH,(603) 924-7191,Critical Access Hospitals,Proprietary
+52206,MAYO CLINIC HEALTH SYSTEM-CANNON FALLS,32021 COUNTY 24 BOULEVARD,CANNON FALLS,MN,55009,GOODHUE,(507) 263-6000,Critical Access Hospitals,Voluntary non-profit - Private
+69166,NEWPORT HOSPITAL,11 FRIENDSHIP STREET,NEWPORT,RI,2840,NEWPORT,(401) 846-6400,Acute Care Hospitals,Voluntary non-profit - Private
+56237,THE PAVILION AT WILLIAMSBURG PLACE,5483 MOORETOWN ROAD,WILLIAMSBURG,VA,23188,JAMES CITY,(757) 941-6400,Psychiatric,Proprietary
+79692,BARNES-JEWISH ST PETERS HOSPITAL,10 HOSPITAL DR,SAINT PETERS,MO,63376,ST. CHARLES,(636) 916-9000,Acute Care Hospitals,Voluntary non-profit - Other
+89938,FORREST CITY MEDICAL CENTER,1601 NEWCASTLE ROAD,FORREST CITY,AR,72335,ST. FRANCIS,(870) 261-0000,Acute Care Hospitals,Proprietary
+64035,CONEMAUGH MEMORIAL MEDICAL CENTER,1086 FRANKLIN STREET,JOHNSTOWN,PA,15905,CAMBRIA,(814) 534-9000,Acute Care Hospitals,Proprietary
+13511,"JOHNS HOPKINS HOSPITAL, THE",600 NORTH  WOLFE STREET,BALTIMORE,MD,21287,BALTIMORE CITY,(410) 955-9540,Acute Care Hospitals,Voluntary non-profit - Private
+15279,EAST CARROLL PARISH HOSPITAL,336 NORTH HOOD STREET,LAKE PROVIDENCE,LA,71254,EAST CARROLL,(318) 559-4023,Acute Care Hospitals,Government - Hospital District or Authority
+85009,REAGAN MEMORIAL HOSPITAL,1300 N MAIN AVENUE,BIG LAKE,TX,76932,REAGAN,(325) 844-2561,Critical Access Hospitals,Government - Hospital District or Authority
+22350,GRUNDY COUNTY MEMORIAL HOSPITAL,201 EAST J AVENUE,GRUNDY CENTER,IA,50638,GRUNDY,(319) 824-5421,Critical Access Hospitals,Voluntary non-profit - Other
+65646,OHSU HOSPITAL AND CLINICS,3181 SW SAM JACKSON PARK ROAD,PORTLAND,OR,97239,MULTNOMAH,(503) 494-6245,Acute Care Hospitals,Voluntary non-profit - Other
+26141,INTEGRIS BASS BAPTIST HEALTH CENTER,600 SOUTH MONROE,ENID,OK,73701,GARFIELD,(580) 233-2300,Acute Care Hospitals,Voluntary non-profit - Private
+72340,AVERA DELLS AREA HOSPITAL  - CAH,909 N IOWA AVE,DELL RAPIDS,SD,57022,MINNEHAHA,(605) 428-5431,Critical Access Hospitals,Voluntary non-profit - Private
+77443,PIGGOTT COMMUNITY HOSPITAL,216 EAST MAIN STREET,PIGGOTT,AR,72454,CLAY,(870) 598-3881,Critical Access Hospitals,Government - Local
+61817,GRISELL MEMORIAL HOSPITAL,210 SOUTH VERMONT AVENUE,RANSOM,KS,67572,NESS,(785) 731-2231,Critical Access Hospitals,Government - Hospital District or Authority
+45818,ROLLING HILLS PSYCHIATRIC HOSPITAL,2014 QUAIL HOLLOW CIRCLE,FRANKLIN,TN,37067,WILLIAMSON,(615) 226-4930,Psychiatric,Voluntary non-profit - Private
+29232,SCRIPPS MEMORIAL HOSPITAL LA JOLLA,9888 GENESEE AVENUE,LA JOLLA,CA,92037,SAN DIEGO,(858) 626-4123,Acute Care Hospitals,Physician
+54187,HILLSDALE HOSPITAL,168 S HOWELL STREET,HILLSDALE,MI,49242,HILLSDALE,(517) 437-4451,Acute Care Hospitals,Voluntary non-profit - Private
+46755,WILSON MEDICAL CENTER,REECE CAMPUS 2600 OTTAWA ROAD,NEODESHA,KS,66757,WILSON,(620) 325-2611,Critical Access Hospitals,Government - Local
+49692,CHI ST LUKE'S HEALTH BAYLOR COLLEGE OF MEDICINE ME,"7200 CAMBRIDGE, 11TH FLOOR",HOUSTON,TX,77030,HARRIS,(832) 355-1000,Acute Care Hospitals,Voluntary non-profit - Church
+82369,KING'S DAUGHTERS' HEALTH,1373 EAST SR 62,MADISON,IN,47250,JEFFERSON,(812) 801-0105,Acute Care Hospitals,Voluntary non-profit - Private
+20131,BULLOCK COUNTY HOSPITAL,102 WEST CONECUH AVENUE,UNION SPRINGS,AL,36089,BULLOCK,(334) 738-2140,Acute Care Hospitals,Proprietary
+29874,SPRING MOUNTAIN TREATMENT CENTER,7000 WEST SPRING MOUNTAIN ROAD,LAS VEGAS,NV,89117,CLARK,(702) 873-2400,Psychiatric,Proprietary
+34805,ROCK PRAIRIE BEHAVIORAL HEALTH,3550 NORMAND DRIVE,COLLEGE STATION,TX,77845,BRAZOS,(979) 703-8848,Psychiatric,Proprietary
+17408,OROVILLE HOSPITAL,2767 OLIVE HIGHWAY,OROVILLE,CA,95966,BUTTE,(530) 533-8500,Acute Care Hospitals,Voluntary non-profit - Private
+37376,RALEIGH GENERAL HOSPITAL,1710 HARPER ROAD,BECKLEY,WV,25801,RALEIGH,(304) 256-4100,Acute Care Hospitals,Proprietary
+50142,PRESENCE SAINT JOSEPH HOSPITAL - CHICAGO,2900 NORTH LAKE SHORE DRIVE,CHICAGO,IL,60657,COOK,(773) 665-3000,Acute Care Hospitals,Voluntary non-profit - Church
+59095,LAFAYETTE GENERAL MEDICAL CENTER,1214 COOLIDGE AVENUE,LAFAYETTE,LA,70503,LAFAYETTE,(337) 289-7991,Acute Care Hospitals,Voluntary non-profit - Private
+58553,AURELIA OSBORN FOX MEMORIAL HOSPITAL,ONE NORTON AVENUE,ONEONTA,NY,13820,OTSEGO,(607) 432-2000,Acute Care Hospitals,Voluntary non-profit - Private
+88149,OAK HILLS BEHAVIORAL CENTER,49 OLD HICKORY BLVD,JACKSON,TN,38305,MADISON,(731) 668-7073,Psychiatric,Proprietary
+74565,HAMPSHIRE MEMORIAL HOSPITAL,363 SUNRISE BOULEVARD,ROMNEY,WV,26757,HAMPSHIRE,(304) 822-4561,Critical Access Hospitals,Voluntary non-profit - Private
+79689,HENDRICK MEDICAL CENTER,1900 PINE,ABILENE,TX,79601,TAYLOR,(325) 670-2000,Acute Care Hospitals,Voluntary non-profit - Private
+48569,CEDAR CITY HOSPITAL,1303 NORTH MAIN STREET,CEDAR CITY,UT,84721,IRON,(435) 868-5800,Acute Care Hospitals,Voluntary non-profit - Private
+68948,ST DAVID'S MEDICAL CENTER,919 E 32ND ST,AUSTIN,TX,78705,TRAVIS,(512) 476-7111,Acute Care Hospitals,Proprietary
+31448,COLUMBIA BASIN HOSPITAL,200 NAT WASHINGTON WAY,EPHRATA,WA,98823,GRANT,(509) 754-4631,Critical Access Hospitals,Government - Hospital District or Authority
+90796,SOUTHEASTERN OHIO REGIONAL MEDICAL CENTER,1341 NORTH CLARK STREET,CAMBRIDGE,OH,43725,GUERNSEY,(740) 439-8000,Acute Care Hospitals,Voluntary non-profit - Private
+30187,AULTMAN HOSPITAL,2600 SIXTH STREET SW,CANTON,OH,44710,STARK,(330) 363-6352,Acute Care Hospitals,Voluntary non-profit - Other
+65877,JACK HUGHSTON MEMORIAL HOSPITAL,4401 RIVER CHASE DRIVE,PHENIX CITY,AL,36867,RUSSELL,(334) 732-3000,Acute Care Hospitals,Government - State
+52418,BAYLOR UNIVERSITY MEDICAL CENTER,3500 GASTON AVE,DALLAS,TX,75246,DALLAS,(214) 820-0111,Acute Care Hospitals,Voluntary non-profit - Church
+57858,"PINEVILLE COMMUNITY HEALTH CENTER, INC",850 RIVERVIEW AVENUE,PINEVILLE,KY,40977,BELL,(606) 337-3051,Acute Care Hospitals,Voluntary non-profit - Private
+40742,WICHITA COUNTY HEALTH CENTER,211 E EARL STREET,LEOTI,KS,67861,WICHITA,(620) 375-2233,Critical Access Hospitals,Government - Local
+24983,ROUNDUP MEMORIAL HEALTHCARE,1202 3RD ST W,ROUNDUP,MT,59072,MUSSELSHELL,(406) 323-2301,Critical Access Hospitals,Government - Hospital District or Authority
+81961,METROPOLITAN HOSPITAL CENTER,1901 FIRST AVENUE,NEW YORK,NY,10029,NEW YORK,(212) 423-6262,Acute Care Hospitals,Government - Local
+86290,BLUEFIELD REGIONAL MEDICAL CENTER,500 CHERRY ST,BLUEFIELD,WV,24701,MERCER,(304) 327-1100,Acute Care Hospitals,Proprietary
+15932,METHODIST HEALTHCARE MEMPHIS HOSPITALS,1265 UNION AVE SUITE 700,MEMPHIS,TN,38104,SHELBY,(901) 516-8274,Acute Care Hospitals,Voluntary non-profit - Church
+20178,UT HEALTH EAST TEXAS HENDERSON HOSPITAL,300 WILSON STREET,HENDERSON,TX,75652,RUSK,(903) 657-7541,Acute Care Hospitals,Voluntary non-profit - Private
+83374,DECKERVILLE COMMUNITY HOSPITAL,3559 PINE ST,DECKERVILLE,MI,48427,SANILAC,(810) 376-2835,Critical Access Hospitals,Voluntary non-profit - Private
+21399,PROVIDENCE SEASIDE HOSPITAL,725 S WAHANNA ROAD,SEASIDE,OR,97138,CLATSOP,(503) 717-7000,Critical Access Hospitals,Voluntary non-profit - Church
+27988,AVERA MARSHALL REGIONAL MEDICAL CTR,300 SOUTH BRUCE STREET,MARSHALL,MN,56258,LYON,(507) 532-9661,Critical Access Hospitals,Voluntary non-profit - Private
+49534,"SOUTHWELL MEDICAL, A CAMPUS OF TRMC",260 MJ TAYLOR ROAD,ADEL,GA,31620,COOK,(229) 896-8077,Acute Care Hospitals,Proprietary
+79594,BAPTIST HEALTH MEDICAL CENTER-CONWAY,1555 EXCHANGE AVENUE,CONWAY,AR,72032,FAULKNER,(501) 585-2000,Acute Care Hospitals,Voluntary non-profit - Private
+93931,GROVE CREEK MEDICAL CENTER,350 NORTH MERIDIAN STREET,BLACKFOOT,ID,83221,BINGHAM,(208) 782-2900,Acute Care Hospitals,Voluntary non-profit - Private
+25085,HANS P PETERSON MEMORIAL HOSPITAL - CAH,503 W PINE  POST OFFICE BOX 790,PHILIP,SD,57567,HAAKON,(605) 859-2511,Critical Access Hospitals,Voluntary non-profit - Private
+51519,SWEDISH MEDICAL CENTER / CHERRY HILL,500 17TH AVENUE,SEATTLE,WA,98122,KING,(206) 320-2000,Acute Care Hospitals,Voluntary non-profit - Church
+87735,HOSPITAL FOR SPECIAL SURGERY,535 EAST 70TH STREET,NEW YORK,NY,10021,NEW YORK,(212) 606-1000,Acute Care Hospitals,Voluntary non-profit - Private
+59735,ABINGTON MEMORIAL HOSPITAL,1200 OLD YORK ROAD,ABINGTON,PA,19001,MONTGOMERY,(215) 481-2000,Acute Care Hospitals,Voluntary non-profit - Private
+69182,UNIVERSITY HOSPITAL S U N Y HEALTH SCIENCE CENTER,750 EAST ADAMS STREET,SYRACUSE,NY,13210,ONONDAGA,(315) 473-4240,Acute Care Hospitals,Government - State
+92490,MITCHELL COUNTY HOSPITAL DISTRICT,997 WEST I-20,COLORADO CITY,TX,79512,MITCHELL,(325) 728-3431,Critical Access Hospitals,Government - Hospital District or Authority
+89976,SMITH COUNTY MEMORIAL HOSPITAL,921 E. HIGHWAY 36,SMITH CENTER,KS,66967,SMITH,(785) 282-6845,Critical Access Hospitals,Government - Local
+90049,KINGWOOD PINES HOSPITAL,2001 LADBROOK,KINGWOOD,TX,77339,HARRIS,(281) 358-1495,Psychiatric,Proprietary
+49474,ST VINCENT'S BIRMINGHAM,810 ST VINCENT'S DRIVE,BIRMINGHAM,AL,35205,JEFFERSON,(205) 939-7000,Acute Care Hospitals,Voluntary non-profit - Private
+65072,CLARK FORK VALLEY HOSPITAL,10 KRUGER RD,PLAINS,MT,59859,SANDERS,(406) 826-4800,Critical Access Hospitals,Voluntary non-profit - Private
+51602,MEDICAL CITY LAS COLINAS,6800 N MACARTHUR BLVD,IRVING,TX,75039,DALLAS,(972) 969-2000,Acute Care Hospitals,Proprietary
+13869,PAMPA REGIONAL MEDICAL CENTER,1 MEDICAL PLAZA,PAMPA,TX,79065,GRAY,(806) 665-3721,Acute Care Hospitals,Voluntary non-profit - Private
+51547,DISTRICT ONE HOSPITAL,200 STATE AVENUE,FARIBAULT,MN,55021,RICE,(507) 334-6451,Acute Care Hospitals,Voluntary non-profit - Private
+29566,WOMANS HOSPITAL,100 WOMAN'S WAY,BATON ROUGE,LA,70817,E. BATON ROUGE,(225) 927-1300,Acute Care Hospitals,Voluntary non-profit - Private
+50097,UMD SHORE MEDICAL CENTER AT EASTON,219 SOUTH  WASHINGTON STREET,EASTON,MD,21601,TALBOT,(410) 822-1000,Acute Care Hospitals,Voluntary non-profit - Private
+73866,BEVERLY HOSPITAL CORPORATION,85 HERRICK STREET,BEVERLY,MA,1915,ESSEX,(978) 922-3000,Acute Care Hospitals,Voluntary non-profit - Private
+90759,CORNERSTONE BEHAVIORAL HEALTH EL DORADO,1400 NORTH WILMOT ROAD,TUCSON,AZ,85712,PIMA,(520) 222-8268,Psychiatric,Proprietary
+12938,PROVIDENCE HEALTH CENTER,6901 MEDICAL PARKWAY,WACO,TX,76712,MC LENNAN,(254) 751-4000,Acute Care Hospitals,Voluntary non-profit - Private
+67136,MEMORIAL HOSPITAL OF SOUTH BEND,615 N MICHIGAN ST,SOUTH BEND,IN,46601,ST. JOSEPH,(574) 647-1000,Acute Care Hospitals,Voluntary non-profit - Private
+13144,UNIVERSITY MEDICAL CENTER,1800 W CHARLESTON BLVD,LAS VEGAS,NV,89102,CLARK,(702) 383-2000,Acute Care Hospitals,Government - Local
+43999,TMC- BONHAM HOSPITAL,504 LIPSCOMB STREET,BONHAM,TX,75418,FANNIN,(903) 640-7311,Critical Access Hospitals,Government - Hospital District or Authority
+59484,ALLENDALE COUNTY HOSPITAL,1787 ALLENDALE FAIRFAX RD,FAIRFAX,SC,29827,ALLENDALE,(803) 632-3311,Critical Access Hospitals,Government - Local
+35652,MASSACHUSETTS EYE AND EAR INFIRMARY -,243 CHARLES STREET,BOSTON,MA,2114,SUFFOLK,(617) 523-7900,Acute Care Hospitals,Voluntary non-profit - Private
+22288,OLYMPIC MEDICAL CENTER,939 CAROLINE ST,PORT ANGELES,WA,98362,CLALLAM,(360) 417-7000,Acute Care Hospitals,Government - Local
+59639,HARDIN COUNTY GENERAL HOSPITAL,FERRELL ROAD,ROSICLARE,IL,62982,HARDIN,(618) 285-6634,Critical Access Hospitals,Voluntary non-profit - Private
+87828,CROOK COUNTY HOSPITAL,713 OAK STREET,SUNDANCE,WY,82729,CROOK,(307) 283-3501,Critical Access Hospitals,Government - Hospital District or Authority
+65742,KAISER FOUNDATION HOSPITAL - SOUTH BAY,25825 SOUTH VERMONT AVENUE,HARBOR CITY,CA,90710,LOS ANGELES,(310) 325-5111,Acute Care Hospitals,Voluntary non-profit - Other
+70620,DOCTORS HOSPITAL OF SARASOTA,5731 BEE RIDGE RD,SARASOTA,FL,34233,SARASOTA,(941) 342-1100,Acute Care Hospitals,Proprietary
+40866,MOHAWK VALLEY PSYCHIATRIC CENTER,1400 NOYES ST,UTICA,NY,13502,ONEIDA,(315) 797-6800,Psychiatric,Government - Local
+54937,MAGEE GENERAL HOSPITAL,300 3RD AVE SE,MAGEE,MS,39111,SIMPSON,(601) 849-5070,Acute Care Hospitals,Government - Local
+94250,THE MEDICAL CENTER AT SCOTTSVILLE,456 BURNLEY ROAD,SCOTTSVILLE,KY,42164,ALLEN,(270) 622-2800,Critical Access Hospitals,Voluntary non-profit - Private
+92502,WEST HILLS HOSPITAL & MEDICAL CENTER,7300 MEDICAL CENTER DR,WEST HILLS,CA,91307,LOS ANGELES,(818) 676-4100,Acute Care Hospitals,Proprietary
+31545,ARIZONA SPINE AND JOINT HOSPITAL,4620 EAST BASELINE ROAD,MESA,AZ,85206,MARICOPA,(480) 832-4770,Acute Care Hospitals,Physician
+40515,UNITED REGIONAL HEALTH CARE SYSTEM,1600 11TH STREET,WICHITA FALLS,TX,76301,WICHITA,(940) 764-3055,Acute Care Hospitals,Voluntary non-profit - Private
+14808,ST VINCENT KOKOMO,1907 W SYCAMORE ST,KOKOMO,IN,46904,HOWARD,(765) 452-5611,Acute Care Hospitals,Voluntary non-profit - Church
+37632,WOOD COUNTY HOSPITAL,950 WEST WOOSTER STREET,BOWLING GREEN,OH,43402,WOOD,(419) 354-8900,Acute Care Hospitals,Voluntary non-profit - Private
+59431,PENDER MEMORIAL HOSPITAL,507 E FREMONT ST,BURGAW,NC,28425,PENDER,(910) 300-4004,Critical Access Hospitals,Government - Local
+11060,THE CARLE FOUNDATION HOSPITAL,611 WEST PARK STREET,URBANA,IL,61801,CHAMPAIGN,(217) 383-3311,Acute Care Hospitals,Voluntary non-profit - Private
+83716,MT SAN RAFAEL HOSPITAL,410 BENEDICTA AVE,TRINIDAD,CO,81082,LAS ANIMAS,(719) 846-9213,Critical Access Hospitals,Voluntary non-profit - Private
+41647,MADISON COUNTY HEALTH CARE SYSTEM,300 WEST HUTCHINGS STREET,WINTERSET,IA,50273,MADISON,(515) 462-2373,Critical Access Hospitals,Government - Local
+22059,BENEFIS HOSPITALS INC,1101 26TH ST S,GREAT FALLS,MT,59405,CASCADE,(406) 455-5000,Acute Care Hospitals,Voluntary non-profit - Private
+25607,BAPTIST MEMORIAL HOSPITAL TIPTON,1995 HIGHWAY 51 S,COVINGTON,TN,38019,TIPTON,(901) 476-2621,Acute Care Hospitals,Voluntary non-profit - Church
+66604,ST CHARLES MADRAS,470 NE A STREET,MADRAS,OR,97741,JEFFERSON,(541) 475-3882,Critical Access Hospitals,Voluntary non-profit - Private
+14101,WAYNESBORO HOSPITAL,501 EAST MAIN ST,WAYNESBORO,PA,17268,FRANKLIN,(717) 765-4000,Acute Care Hospitals,Voluntary non-profit - Private
+16451,SPECTRUM HEALTH BIG RAPIDS HOSPITAL,605 OAK STREET,BIG RAPIDS,MI,49307,MECOSTA,(231) 796-8691,Acute Care Hospitals,Government - Local
+30793,TEXAS HEALTH PRESBYTERIAN HOSPITAL PLANO,6200 W PARKER RD,PLANO,TX,75093,COLLIN,(972) 981-8000,Acute Care Hospitals,Voluntary non-profit - Private
+86184,CASS COUNTY MEMORIAL HOSPITAL,1501 EAST TENTH STREET,ATLANTIC,IA,50022,CASS,(712) 243-3250,Critical Access Hospitals,Government - Local
+69522,MONROE SURGICAL HOSPITAL,2408 BROADMOOR BLVD,MONROE,LA,71201,OUACHITA,(318) 410-0002,Acute Care Hospitals,Physician
+57592,JACOBI MEDICAL CENTER,1400 PELHAM PARKWAY SOUTH,BRONX,NY,10461,BRONX,(718) 918-5000,Acute Care Hospitals,Government - Local
+77825,GREENWICH HOSPITAL ASSOCIATION -,5 PERRYRIDGE RD,GREENWICH,CT,6830,FAIRFIELD,(203) 863-3000,Acute Care Hospitals,Voluntary non-profit - Private
+69297,MCLEOD REGIONAL MEDICAL CENTER-PEE DEE,555 E CHEVES ST BOX 8700,FLORENCE,SC,29506,FLORENCE,(843) 777-2900,Acute Care Hospitals,Voluntary non-profit - Other
+91574,UPMC ALTOONA,620 HOWARD AVENUE,ALTOONA,PA,16601,BLAIR,(814) 889-2011,Acute Care Hospitals,Voluntary non-profit - Private
+65544,NMC Portsmouth,620 John Paul Jones Circle,Portsmouth,VA,23708,PORTSMOUTH CITY,(757) 953-5008,Acute Care - Department of Defense,Department of Defense
+34211,MIDLAND MEMORIAL HOSPITAL,400 ROSALIND REDFERN GROVER PARKWAY,MIDLAND,TX,79701,MIDLAND,(432) 685-1111,Acute Care Hospitals,Government - Local
+30693,MINNIE HAMILTON HEALTH SYSTEM,186 HOSPITAL DRIVE,GRANTSVILLE,WV,26147,CALHOUN,(304) 354-9244,Critical Access Hospitals,Voluntary non-profit - Private
+94405,TEXAS HEALTH PRESBYTERIAN HOSPITAL DENTON,3000 N I-35,DENTON,TX,76201,DENTON,(940) 898-7000,Acute Care Hospitals,Voluntary non-profit - Private
+25112,SEASIDE BEHAVIORAL CENTER,4201 WOODLAND DRIVE,NEW ORLEANS,LA,70131,ORLEANS,(504) 393-4223,Psychiatric,Proprietary
+19120,JFK MEDICAL CTR - ANTHONY M. YELENCSICS COMMUNITY,65 JAMES STREET,EDISON,NJ,8818,MIDDLESEX,(732) 321-7000,Acute Care Hospitals,Voluntary non-profit - Private
+23986,FIRST HOSPITAL OF WYOMING VALLEY,562 WYOMING AVENUE,KINGSTON,PA,18704,LUZERNE,(570) 552-3900,Psychiatric,Proprietary
+15710,HERINGTON MUNICIPAL HOSPITAL,100 E HELEN STREET,HERINGTON,KS,67449,DICKINSON,(785) 258-2207,Critical Access Hospitals,Voluntary non-profit - Other
+76812,BANNER GOLDFIELD MEDICAL CENTER,2050 WEST SOUTHERN AVENUE,APACHE JUNCTION,AZ,85120,PINAL,(480) 733-3300,Acute Care Hospitals,Voluntary non-profit - Other
+62184,ALEXIAN BROTHERS BEHAVIORAL HLTH HOSP,1650 MOON LAKE BLVD,HOFFMAN ESTATES,IL,60169,COOK,(847) 882-1600,Psychiatric,Voluntary non-profit - Church
+35502,GEISINGER WYOMING VALLEY MEDICAL CENTER,1000 EAST MOUNTAIN BOULEVARD,WILKES BARRE,PA,18711,LUZERNE,(570) 826-7300,Acute Care Hospitals,Voluntary non-profit - Private
+54720,OCEANS BEHAVIORAL HOSPITAL OF DERIDDER,1420 BLANKENSHIP DRIVE,DERIDDER,LA,70634,BEAUREGARD,(337) 460-9472,Psychiatric,Proprietary
+55941,KAISER FOUNDATION HOSPITAL - ROSEVILLE,1600 EUREKA ROAD,ROSEVILLE,CA,95661,PLACER,(916) 784-4000,Acute Care Hospitals,Voluntary non-profit - Private
+30684,THREE RIVERS HOSPITAL,507 HOSPITAL WAY,BREWSTER,WA,98812,OKANOGAN,(509) 689-2517,Critical Access Hospitals,Government - Hospital District or Authority
+84743,ATRIUM HEALTH STANLY,301 YADKIN ST,ALBEMARLE,NC,28001,STANLY,(704) 984-4000,Acute Care Hospitals,Voluntary non-profit - Private
+20369,NEWPORT COMMUNITY HOSPITAL,714 WEST PINE STREET,NEWPORT,WA,99156,PEND OREILLE,(509) 447-2441,Critical Access Hospitals,Government - Hospital District or Authority
+86124,GOV JUAN F LUIS HOSPITAL & MEDICAL CTR,"#4007 EST DIAMOND RUBY, CHRISTIANSTED",ST CROIX,VI,820,SAINT CROIX ISLAND,(340) 778-6311,Acute Care Hospitals,Government - State
+58729,AVERA WESKOTA MEMORIAL MEDICAL CENTER - CAH,604 1ST ST NE,WESSINGTON SPRINGS,SD,57382,JERAULD,(605) 539-1201,Critical Access Hospitals,Voluntary non-profit - Private
+48417,ALEXIAN BROTHERS MEDICAL CENTER 1,800 W BIESTERFIELD RD,ELK GROVE VILLAGE,IL,60007,COOK,(847) 437-5500,Acute Care Hospitals,Voluntary non-profit - Church
+75567,ELLIOT HOSPITAL,1 ELLIOT WAY,MANCHESTER,NH,3103,HILLSBOROUGH,(603) 669-5300,Acute Care Hospitals,Voluntary non-profit - Private
+49014,EL CAMINO HOSPITAL,2500 GRANT ROAD,MOUNTAIN VIEW,CA,94040,SANTA CLARA,(650) 940-7000,Acute Care Hospitals,Government - Hospital District or Authority
+46909,STILLWATER MEDICAL CENTER,1323 WEST 6TH STREET,STILLWATER,OK,74076,PAYNE,(405) 372-1480,Acute Care Hospitals,Voluntary non-profit - Other
+29478,BAPTIST HEALTH PADUCAH,2501 KENTUCKY AVENUE,PADUCAH,KY,42003,MC CRACKEN,(270) 575-2100,Acute Care Hospitals,Voluntary non-profit - Church
+88872,CHRISTUS SPOHN HOSPITAL KLEBERG,1311 EAST GENERAL CAVAZOS BLVD,KINGSVILLE,TX,78363,KLEBERG,(361) 595-1661,Acute Care Hospitals,Voluntary non-profit - Private
+33307,ENNIS REGIONAL MEDICAL CENTER,2201 WEST LAMPASAS STREET,ENNIS,TX,75119,ELLIS,(972) 875-0900,Acute Care Hospitals,Proprietary
+40120,ELIZABETHTOWN COMMUNITY HOSPITAL,75 PARK STREET,ELIZABETHTOWN,NY,12932,ESSEX,(518) 873-6377,Critical Access Hospitals,Voluntary non-profit - Private
+60303,NORTHWEST MISSOURI PSYCHIATRIC REHAB CTR,3505 FREDERICK AVENUE,SAINT JOSEPH,MO,64502,BUCHANAN,(816) 387-2300,Psychiatric,Government - State
+47421,UNIVERSITY BEHAVIORAL CENTER,2500 DISCOVERY DRIVE,ORLANDO,FL,32826,ORANGE,(407) 281-7000,Psychiatric,Voluntary non-profit - Private
+70597,SOUTH GEORGIA MEDICAL CENTER,"2501 NORTH PATTERSON STREET, PO BOX 1727",VALDOSTA,GA,31602,LOWNDES,(229) 333-1020,Acute Care Hospitals,Government - Hospital District or Authority
+77596,ANNIE JEFFREY MEMORIAL COUNTY HEALTH CENTER,"P O BOX 428, 531 BEEBE ST",OSCEOLA,NE,68651,POLK,(402) 747-2031,Critical Access Hospitals,Government - Local
+71844,FINLEY HOSPITAL,350 NORTH GRANDVIEW AVENUE,DUBUQUE,IA,52001,DUBUQUE,(563) 582-1881,Acute Care Hospitals,Voluntary non-profit - Private
+13655,TENNOVA HEALTHCARE-CLARKSVILLE,651 DUNLOP LANE,CLARKSVILLE,TN,37040,MONTGOMERY,(931) 502-1000,Acute Care Hospitals,Proprietary
+51414,ST ELIZABETH COMMUNITY HOSPITAL,2550 SISTER MARY COLUMBA DRIVE,RED BLUFF,CA,96080,TEHAMA,(530) 529-8012,Acute Care Hospitals,Voluntary non-profit - Church
+73759,FAIRVIEW NORTHLAND REGIONAL HOSPITAL,911 NORTHLAND DR,PRINCETON,MN,55371,MILLE LACS,(763) 389-6481,Acute Care Hospitals,Voluntary non-profit - Other
+31023,SHRINERS HOSPITALS FOR CHILDREN - CINCINNATI,3229 BURNETT AVENUE,CINCINNATI,OH,45229,HAMILTON,(513) 872-6000,Childrens,Voluntary non-profit - Private
+80204,TERRELL STATE HOSPITAL,1200 E BRIN STREET,TERRELL,TX,75160,KAUFMAN,(972) 524-6452,Psychiatric,Government - State
+84434,KAISER FOUNDATION HOSPITAL - PANORAMA CITY,13652 CANTARA ST,PANORAMA CITY,CA,91402,LOS ANGELES,(818) 375-3333,Acute Care Hospitals,Voluntary non-profit - Private
+83970,METROWEST MEDICAL CENTER,115 LINCOLN STREET,FRAMINGHAM,MA,1701,MIDDLESEX,(508) 383-1000,Acute Care Hospitals,Voluntary non-profit - Private
+81960,EXCELA HEALTH LATROBE HOSPITAL,ONE MELLON WAY,LATROBE,PA,15650,WESTMORELAND,(724) 537-1000,Acute Care Hospitals,Voluntary non-profit - Private
+58378,SAINT CAMILLUS MEDICAL CENTER,1612 HURST TOWN CENTER DRIVE,HURST,TX,76054,TARRANT,(817) 519-3700,Acute Care Hospitals,Proprietary
+80508,DELTA COMMUNITY HOSPITAL,126 SOUTH WHITE SAGE AVENUE,DELTA,UT,84624,MILLARD,(435) 864-5591,Critical Access Hospitals,Proprietary
+10371,FAXTON-ST LUKE'S HEALTHCARE,1656 CHAMPLIN AVENUE,UTICA,NY,13503,ONEIDA,(315) 798-6000,Acute Care Hospitals,Voluntary non-profit - Private
+14855,SCOTT REGIONAL HOSPITAL CAH,317 HIGHWAY 13 SOUTH,MORTON,MS,39117,SCOTT,(601) 732-6301,Critical Access Hospitals,Voluntary non-profit - Private
+10703,MARSHALL BROWNING HOSPITAL,900 NORTH WASHINGTON STREET,DU QUOIN,IL,62832,PERRY,(618) 542-2146,Critical Access Hospitals,Voluntary non-profit - Private
+51098,BROUGHTON HOSPITAL,1000 S STERLING STREET,MORGANTON,NC,28655,BURKE,(828) 433-2111,Psychiatric,Government - State
+21743,REGINA HOSPITAL,1175 NININGER ROAD,HASTINGS,MN,55033,DAKOTA,(651) 480-4100,Acute Care Hospitals,Voluntary non-profit - Church
+61488,"SOUTHCOAST HOSPITAL GROUP, INC",363 HIGHLAND AVENUE,FALL RIVER,MA,2720,BRISTOL,(508) 679-3131,Acute Care Hospitals,Voluntary non-profit - Private
+55512,HEALDSBURG DISTRICT HOSPITAL,1375 UNIVERSITY AVENUE,HEALDSBURG,CA,95448,SONOMA,(707) 431-6500,Critical Access Hospitals,Government - Hospital District or Authority
+50218,ST JOSEPH MEDICAL CENTER,2200 E WASHINGTON,BLOOMINGTON,IL,61701,MC LEAN,(309) 662-3311,Acute Care Hospitals,Voluntary non-profit - Church
+23220,AURORA BEHAVIORAL HEALTHCARE-TEMPE,6350 SOUTH MAPLE AVENUE,TEMPE,AZ,85283,MARICOPA,(480) 345-5400,Psychiatric,Voluntary non-profit - Private
+86367,WOOSTER COMMUNITY HOSPITAL,1761 BEALL AVENUE,WOOSTER,OH,44691,WAYNE,(330) 263-8100,Acute Care Hospitals,Government - Local
+87451,SHRINERS HOSPITALS FOR CHILDREN,3160 GENEVA STREET,LOS ANGELES,CA,90020,LOS ANGELES,(213) 388-3151,Childrens,Voluntary non-profit - Private
+77054,KENMARE COMMUNITY HOSPITAL,PO BOX 697,KENMARE,ND,58746,WARD,(701) 385-4296,Critical Access Hospitals,Voluntary non-profit - Private
+24051,INTEGRIS MIAMI HOSPITAL,200 SECOND AVENUE SOUTHWEST,MIAMI,OK,74355,OTTAWA,(918) 542-6611,Acute Care Hospitals,Voluntary non-profit - Other
+23624,THOMAS JEFFERSON UNIVERSITY HOSPITAL,111 SOUTH 11TH STREET,PHILADELPHIA,PA,19107,PHILADELPHIA,(215) 955-6000,Acute Care Hospitals,Voluntary non-profit - Private
+26391,NEA BAPTIST MEMORIAL HOSPITAL,4800 EAST JOHNSON AVENUE,JONESBORO,AR,72401,CRAIGHEAD,(870) 972-7000,Acute Care Hospitals,Voluntary non-profit - Private
+15707,FILLMORE COUNTY HOSPITAL,"P O BOX 193, 1900 F STREET",GENEVA,NE,68361,FILLMORE,(402) 759-3167,Critical Access Hospitals,Government - Local
+53911,WASHINGTON COUNTY HOSPITAL AND CLINICS,400 EAST POLK STREET,WASHINGTON,IA,52353,WASHINGTON,(319) 653-5481,Critical Access Hospitals,Voluntary non-profit - Other
+44368,MERCY MEDICAL CENTER,333 MERCY AVENUE,MERCED,CA,95340,MERCED,(209) 564-5000,Acute Care Hospitals,Voluntary non-profit - Private
+10335,TURNING POINT HOSPITAL,3015 VETERANS PARKWAY,MOULTRIE,GA,31788,COLQUITT,(229) 985-4815,Acute Care Hospitals,Proprietary
+30052,GIFFORD MEDICAL CENTER,44 SOUTH MAIN STREET,RANDOLPH,VT,5060,ORANGE,(802) 728-4441,Critical Access Hospitals,Voluntary non-profit - Private
+48256,PSYCHIATRIC INSTITUTE OF WASHINGTON DC,"4228 WISCONSIN AVENUE, NW",WASHINGTON,DC,20016,THE DISTRICT,(202) 885-5600,Psychiatric,Voluntary non-profit - Private
+63567,COTTONWOOD SPRINGS LLC,13351 S ARAPAHO DRIVE,OLATHE,KS,66062,JOHNSON,(913) 353-3000,Psychiatric,Proprietary
+46891,"TRANSYLVANIA REGIONAL HOSPITAL, INC",90 HOSPITAL DRIVE PO BOX 1116,BREVARD,NC,28712,TRANSYLVANIA,(828) 883-5302,Critical Access Hospitals,Voluntary non-profit - Private
+52092,THE MIRIAM HOSPITAL,164 SUMMIT AVENUE,PROVIDENCE,RI,2906,PROVIDENCE,(401) 793-2500,Acute Care Hospitals,Voluntary non-profit - Private
+46458,HEBREW HOME AND HOSPITAL INC,1 ABRAHMS BOULEVARD,WEST HARTFORD,CT,6117,HARTFORD,(860) 523-3800,Acute Care Hospitals,Voluntary non-profit - Private
+61125,GRAND LAKE HEALTH SYSTEM,200 SAINT CLAIR STREET,SAINT MARYS,OH,45885,AUGLAIZE,(419) 394-3335,Acute Care Hospitals,Voluntary non-profit - Private
+63722,HIGHLANDS REGIONAL MEDICAL CENTER,5000 KENTUCKY ROUTE 321,PRESTONSBURG,KY,41653,FLOYD,(606) 886-8511,Acute Care Hospitals,Proprietary
+80927,UPMC COLE,1001 EAST SECOND STREET,COUDERSPORT,PA,16915,POTTER,(814) 274-9301,Critical Access Hospitals,Voluntary non-profit - Other
+87831,CENTRAL MAINE MEDICAL CENTER,300 MAIN STREET,LEWISTON,ME,4240,ANDROSCOGGIN,(207) 795-0111,Acute Care Hospitals,Voluntary non-profit - Private
+64370,Bassett ACH (FT Wainwright),4076 Neely Road,Fort Wainwright,AK,99703,FAIRBANKS NORTH STAR,(907) 361-4000,Acute Care - Department of Defense,Department of Defense
+52706,CACHE VALLEY  HOSPITAL,2380 NORTH 400 EAST,NORTH LOGAN,UT,84341,CACHE,(435) 713-9580,Acute Care Hospitals,Proprietary
+78318,OUACHITA COUNTY MEDICAL CENTER,638 CALIFORNIA AVENUE,CAMDEN,AR,71701,OUACHITA,(870) 836-1000,Acute Care Hospitals,Voluntary non-profit - Private
+31841,HEALTHBRIDGE CHILDRENS'S HOSPITAL OF HOUSTON,2929 WOODLAND PARK DRIVE,HOUSTON,TX,77082,HARRIS,(281) 293-7774,Childrens,Proprietary
+58217,HILLSBORO COMMUNITY HOSPITAL,101 INDUSTRIAL ROAD,HILLSBORO,KS,67063,MARION,(620) 947-3114,Critical Access Hospitals,Proprietary
+29015,SURGICAL HOSPITAL AT SOUTHWOODS,7630 SOUTHERN BLVD,YOUNGSTOWN,OH,44512,MAHONING,(330) 729-8000,Acute Care Hospitals,Proprietary
+30834,TRI VALLEY HEALTH SYSTEM,1305 WEST HIGHWAY 6/34,CAMBRIDGE,NE,69022,FURNAS,(308) 697-3329,Critical Access Hospitals,Voluntary non-profit - Private
+93041,CHAMBERSBURG HOSPITAL,112 NORTH SEVENTH STREET,CHAMBERSBURG,PA,17201,FRANKLIN,(717) 267-3000,Acute Care Hospitals,Voluntary non-profit - Private
+10967,CHRISTUS OCHSNER ST PATRICK HOSPITAL,524 DR MICHAEL DEBAKEY STREET,LAKE CHARLES,LA,70601,CALCASIEU,(337) 436-2511,Acute Care Hospitals,Voluntary non-profit - Private
+88227,PEACEHEALTH UNITED GENERAL MEDICAL CENTER,2000 HOSPITAL DRIVE,SEDRO WOOLLEY,WA,98284,SKAGIT,(360) 856-6021,Critical Access Hospitals,Government - Hospital District or Authority
+39793,NORTH STAR HOSPITAL,2530 DEBARR RD,ANCHORAGE,AK,99508,ANCHORAGE,(907) 264-3526,Psychiatric,Proprietary
+31858,SONOMA DEVELOPMENTAL CENTER,15000 ARNOLD DRIVE   /  P O BOX 1493,ELDRIDGE,CA,95431,SONOMA,(707) 938-6000,Acute Care Hospitals,Government - State
+19170,AURORA ST LUKES MEDICAL CENTER,2900 W OKLAHOMA AVE,MILWAUKEE,WI,53215,MILWAUKEE,(414) 649-6000,Acute Care Hospitals,Voluntary non-profit - Private
+31046,MORGAN MEDICAL CENTER,1740 LIONS CLUB ROAD,MADISON,GA,30650,MORGAN,(706) 342-1667,Critical Access Hospitals,Government - Hospital District or Authority
+72612,MEDICAL CENTER OF TRINITY,"9330 SR 54, STE 401",TRINITY,FL,34655,PASCO,(727) 834-4900,Acute Care Hospitals,Proprietary
+33466,ASCENSION PROVIDENCE HOSPITAL,16001 W NINE MILE RD,SOUTHFIELD,MI,48075,OAKLAND,(248) 849-3011,Acute Care Hospitals,Voluntary non-profit - Church
+17452,ADVENTIST GLENOAKS,701 WINTHROP AVENUE,GLENDALE HEIGHTS,IL,60139,DU PAGE,(630) 545-8000,Acute Care Hospitals,Voluntary non-profit - Other
+28923,FIRST HOSPITAL PANAMERICANO,STATE ROAD 787 KM 1  5,CIDRA,PR,739,CIDRA,(787) 739-5555,Psychiatric,Proprietary
+41849,"THE JEROME GOLDEN CENTER FOR BEHAVIORAL HEALTH, IN",1041 45TH ST,WEST PALM BEACH,FL,33407,PALM BEACH,(561) 844-9741,Psychiatric,Voluntary non-profit - Private
+54067,"WEST COVINA MEDICAL CENTER, INC",725 S ORANGE AVE,WEST COVINA,CA,91790,LOS ANGELES,(626) 338-8481,Acute Care Hospitals,Proprietary
+44669,DUKE UNIVERSITY HOSPITAL,PO BOX 3814 DUMC  ERWIN RD,DURHAM,NC,27710,DURHAM,(919) 684-8111,Acute Care Hospitals,Proprietary
+10314,SOUTH COAST GLOBAL MEDICAL CENTER,2701 S BRISTOL ST,SANTA ANA,CA,92704,ORANGE,(714) 754-5454,Acute Care Hospitals,Proprietary
+69433,BRIGHAM AND WOMEN'S FAULKNER HOSPITAL,1153 CENTRE STREET,BOSTON,MA,2130,SUFFOLK,(617) 983-7000,Acute Care Hospitals,Voluntary non-profit - Private
+30022,COSHOCTON REGIONAL MEDICAL CENTER,1460 ORANGE STREET,COSHOCTON,OH,43812,COSHOCTON,(740) 623-4144,Acute Care Hospitals,Voluntary non-profit - Private
+90488,WAVERLY HEALTH CENTER,312  9TH STREET SW,WAVERLY,IA,50677,BREMER,(319) 352-4120,Critical Access Hospitals,Government - Local
+28723,MEEKER MEMORIAL HOSPITAL,612 SOUTH SIBLEY AVENUE,LITCHFIELD,MN,55355,MEEKER,(320) 693-4507,Critical Access Hospitals,Government - Local
+76306,BAYLOR SCOTT & WHITE EMERGENCY MEDICAL CENTER AT C,900 EAST WHITESTONE BLVD,CEDAR PARK,TX,78613,WILLIAMSON,(512) 684-4911,Acute Care Hospitals,Government - Hospital District or Authority
+16014,AVALA,67252 INDUSTRY LANE,COVINGTON,LA,70433,ST. TAMMANY,(985) 801-3010,Acute Care Hospitals,Physician
+73649,"CENTRA  HEALTH, INC",1901 TATE SPRINGS ROAD,LYNCHBURG,VA,24501,LYNCHBURG CITY,(434) 200-4789,Acute Care Hospitals,Voluntary non-profit - Private
+20885,GRAND VIEW HOSPITAL,700 LAWN AVENUE,SELLERSVILLE,PA,18960,BUCKS,(215) 453-4615,Acute Care Hospitals,Voluntary non-profit - Other
+92655,CUMBERLAND HALL,270 WALTON WAY,HOPKINSVILLE,KY,42240,CHRISTIAN,(270) 886-1919,Psychiatric,Proprietary
+72322,SANFORD MEDICAL CENTER THIEF RIVER FALLS,3001 SANFORD PARKWAY,THIEF RIVER FALLS,MN,56701,PENNINGTON,(218) 681-4240,Critical Access Hospitals,Voluntary non-profit - Private
+67971,MONROE COMMUNITY HOSPITAL,435 EAST HENRIETTA ROAD,ROCHESTER,NY,14620,MONROE,(585) 760-6500,Acute Care Hospitals,Voluntary non-profit - Other
+29086,ST VINCENTS BLOUNT,150 GILBREATH DRIVE,ONEONTA,AL,35121,BLOUNT,(205) 274-3000,Critical Access Hospitals,Voluntary non-profit - Private
+22026,FORT MEMORIAL HOSPITAL,611 SHERMAN AVE E,FORT ATKINSON,WI,53538,JEFFERSON,(920) 568-5000,Acute Care Hospitals,Voluntary non-profit - Private
+11015,MOUNTAIN WEST MEDICAL CENTER,2055 NORTH MAIN STREET,TOOELE,UT,84074,TOOELE,(435) 843-3700,Acute Care Hospitals,Proprietary
+86881,RIVER HOSPITAL CLINICS,4 FULLER STREET,ALEXANDRIA BAY,NY,13607,JEFFERSON,(315) 482-2511,Critical Access Hospitals,Voluntary non-profit - Private
+86242,RAMAPO RIDGE PSYCH HOSP,301 SICOMAC AVE,WYCKOFF,NJ,7481,BERGEN,(201) 848-5805,Psychiatric,Voluntary non-profit - Private
+79987,HOSPITAL SAN CRISTOBAL,CARR 506 KM 1 0,COTO LAUREL,PR,780,PONCE,(787) 848-2100,Acute Care Hospitals,Voluntary non-profit - Private
+64729,MADISON STATE HOSPITAL,711 GREEN RD,MADISON,IN,47250,JEFFERSON,(812) 265-2611,Psychiatric,Government - State
+12236,WHITE MEMORIAL MEDICAL CENTER,1720 E CESAR AVENUE,LOS ANGELES,CA,90033,LOS ANGELES,(323) 268-5000,Acute Care Hospitals,Voluntary non-profit - Church
+48251,OCHILTREE GENERAL HOSPITAL,3101 GARRETT DRIVE,PERRYTON,TX,79070,OCHILTREE,(806) 435-3606,Critical Access Hospitals,Government - Hospital District or Authority
+43886,MCLAREN THUMB REGION,1100 SOUTH VAN DYKE ROAD,BAD AXE,MI,48413,HURON,(989) 269-9521,Acute Care Hospitals,Voluntary non-profit - Private
+51690,REGIONAL MEDICAL CENTER BAYONET POINT,14000 FIVAY RD,HUDSON,FL,34667,PASCO,(727) 819-2929,Acute Care Hospitals,Proprietary
+73349,CHILDRENS MERCY HOSPITAL,2401 GILLHAM ROAD,KANSAS CITY,MO,64108,JACKSON,(816) 234-3000,Childrens,Voluntary non-profit - Private
+40750,OCEANS BEHAVIORAL HOSPITAL OF SAN MARCOS,1106 N IH 35,SAN MARCOS,TX,78666,HAYS,(512) 353-0194,Psychiatric,Proprietary
+76102,"OUR LADY OF LOURDES MEMORIAL HOSPITAL, INC",169 RIVERSIDE DRIVE,BINGHAMTON,NY,13905,BROOME,(607) 798-5111,Acute Care Hospitals,Voluntary non-profit - Private
+11631,"WOMANS HOSPITAL OF TEXAS,THE",7600 FANNIN,HOUSTON,TX,77054,HARRIS,(713) 790-1234,Acute Care Hospitals,Proprietary
+47761,RIDGEVIEW INSTITUTE,"3995 S COBB DRIVE, SE",SMYRNA,GA,30080,COBB,(770) 434-4567,Psychiatric,Proprietary
+81405,WASHAKIE MEDICAL CENTER,400 SOUTH 15TH STREET,WORLAND,WY,82401,WASHAKIE,(307) 347-3221,Critical Access Hospitals,Government - Local
+22716,WEST SUBURBAN MEDICAL CENTER,3 ERIE COURT,OAK PARK,IL,60302,COOK,(708) 383-6200,Acute Care Hospitals,Voluntary non-profit - Other
+49572,LADY OF THE SEA GENERAL HOSPITAL,200 WEST 134TH PLACE,CUT OFF,LA,70345,LAFOURCHE,(985) 632-6401,Critical Access Hospitals,Government - Hospital District or Authority
+19737,PHOEBE PUTNEY MEMORIAL HOSPITAL,417 THIRD AVENUE,ALBANY,GA,31703,DOUGHERTY,(229) 312-4068,Acute Care Hospitals,Government - Hospital District or Authority
+75833,"BAILEY MEDICAL CENTER, LLC",10502 NORTH 110TH EAST AVENUE,OWASSO,OK,74055,TULSA,(918) 376-8000,Acute Care Hospitals,Proprietary
+77590,DELAWARE PSYCHIATRIC CENTER,1901 N DUPONT HIGHWAY,NEW CASTLE,DE,19720,NEW CASTLE,(302) 255-2700,Psychiatric,Government - State
+23549,ALTA VIEW HOSPITAL,9660 SOUTH 1300 EAST,SANDY,UT,84094,SALT LAKE,(801) 501-2600,Acute Care Hospitals,Voluntary non-profit - Private
+21356,ST FRANCIS-DOWNTOWN,ONE ST FRANCIS DR,GREENVILLE,SC,29601,GREENVILLE,(800) 805-5678,Acute Care Hospitals,Voluntary non-profit - Private
+22905,SALEM HOSPITAL,"890 OAK STREET, SE",SALEM,OR,97301,MARION,(503) 561-5200,Acute Care Hospitals,Voluntary non-profit - Other
+46790,TULANE MEDICAL CENTER,1415 TULANE AVE,NEW ORLEANS,LA,70112,ORLEANS,(504) 988-5263,Acute Care Hospitals,Voluntary non-profit - Private
+65748,HOMESTEAD HOSPITAL,975 BAPTIST WAY,HOMESTEAD,FL,33033,MIAMI-DADE,(786) 243-8000,Acute Care Hospitals,Voluntary non-profit - Private
+67536,SCRIPPS GREEN HOSPITAL,10666 NORTH TORREY PINES ROAD,LA JOLLA,CA,92037,SAN DIEGO,(858) 455-9100,Acute Care Hospitals,Voluntary non-profit - Other
+73294,MARY BRIDGE CHILDREN'S HOSPITAL,317 MARTIN LUTHER KING JR W BOX 5299,TACOMA,WA,98415,PIERCE,(253) 403-1400,Childrens,Voluntary non-profit - Other
+90677,CAROLINAS MEDICAL CENTER/BEHAV HEALTH,1000 BLYTHE BLVD,CHARLOTTE,NC,28203,MECKLENBURG,(704) 355-2000,Acute Care Hospitals,Government - Hospital District or Authority
+79748,ADVENTIST HEALTH TULARE,869 NORTH CHERRY STREET,TULARE,CA,93274,TULARE,(559) 688-0821,Acute Care Hospitals,Voluntary non-profit - Private
+48631,RIVER'S EDGE HOSPITAL & CLINIC,1900 NORTH SUNRISE DRIVE,ST PETER,MN,56082,NICOLLET,(507) 934-7602,Critical Access Hospitals,Government - Local
+86437,MEMORIAL HOSPITAL MIRAMAR,1901 SW 172ND AVE,MIRAMAR,FL,33029,BROWARD,(954) 538-4810,Acute Care Hospitals,Government - Hospital District or Authority
+91844,CENTURA HEALTH-ST THOMAS MORE HOSPITAL,1338 PHAY AVENUE,CANON CITY,CO,81212,FREMONT,(719) 285-2000,Critical Access Hospitals,Voluntary non-profit - Private
+44843,SOUTHERN HILLS HOSPITAL AND MEDICAL CENTER,9300 WEST SUNSET RD,LAS VEGAS,NV,89148,CLARK,(702) 880-2100,Acute Care Hospitals,Voluntary non-profit - Private
+82704,PLEASANT VALLEY HOSPITAL,2520 VALLEY DRIVE,POINT PLEASANT,WV,25550,MASON,(304) 675-4340,Acute Care Hospitals,Voluntary non-profit - Private
+25214,FORT DEFIANCE INDIAN HOSPITAL,PO BOX 649,FORT DEFIANCE,AZ,86504,APACHE,(928) 729-8000,Acute Care Hospitals,Government - Federal
+42093,ALLEN COUNTY REGIONAL HOSPITAL,3066 NORTH KENTUCKY STREET,IOLA,KS,66749,ALLEN,(620) 365-1021,Critical Access Hospitals,Government - State
+61073,CROZER CHESTER MEDICAL CENTER,ONE MEDICAL CENTER BOULEVARD,UPLAND,PA,19013,DELAWARE,(610) 447-2000,Acute Care Hospitals,Voluntary non-profit - Other
+91482,FRANKLIN FOUNDATION HOSPITAL,1097 NORTHWEST BLVD,FRANKLIN,LA,70538,ST. MARY,(337) 828-0760,Critical Access Hospitals,Government - Hospital District or Authority
+22030,COOK CHILDRENS MEDICAL CENTER,801 SEVENTH AVENUE,FORT WORTH,TX,76104,TARRANT,(682) 885-4000,Childrens,Voluntary non-profit - Private
+38216,RIO GRANDE STATE CENTER,1401 RANGERVILLE ROAD,HARLINGEN,TX,78550,CAMERON,(956) 364-8000,Psychiatric,Government - State
+54868,PHOEBE WORTH MEDICAL CENTER,807 SOUTH ISABELLA STREET,SYLVESTER,GA,31791,WORTH,(229) 777-3851,Critical Access Hospitals,Voluntary non-profit - Private
+87273,WATSONVILLE COMMUNITY HOSPITAL,75 NIELSON STREET,WATSONVILLE,CA,95076,SANTA CRUZ,(831) 724-4741,Acute Care Hospitals,Proprietary
+87459,LONGMONT UNITED HOSPITAL,1950 MOUNTAIN VIEW AVE,LONGMONT,CO,80501,BOULDER,(303) 651-5111,Acute Care Hospitals,Voluntary non-profit - Private
+93140,PALACIOS COMMUNITY MEDICAL CENTER,311 GREEN AVENUE,PALACIOS,TX,77465,MATAGORDA,(361) 972-2511,Critical Access Hospitals,Voluntary non-profit - Private
+53552,SOUTHEAST MICHIGAN SURGICAL HOSPITAL,21230 DEQUINDRE ROAD,WARREN,MI,48091,MACOMB,(586) 427-1000,Acute Care Hospitals,Voluntary non-profit - Private
+33961,CAMBRIDGE MEDICAL CENTER,701 SOUTH DELLWOOD AVENUE,CAMBRIDGE,MN,55008,ISANTI,(763) 689-7700,Acute Care Hospitals,Voluntary non-profit - Private
+42722,TRUMBULL REGIONAL MEDICAL CENTER,1350 EAST MARKET STREET,WARREN,OH,44482,TRUMBULL,(330) 841-9820,Acute Care Hospitals,Proprietary
+68022,TRIGG COUNTY HOSPITAL,254 MAIN STREET,CADIZ,KY,42211,TRIGG,(270) 522-3215,Critical Access Hospitals,Voluntary non-profit - Private
+55764,CHILDREN'S HOSPITAL OF PHILADELPHIA,34TH ST & CIVIC CENTER BLVD,PHILADELPHIA,PA,19104,PHILADELPHIA,(215) 590-3745,Childrens,Voluntary non-profit - Private
+43602,INSPIRA MEDICAL CENTER WOODBURY,509 N BROAD ST,WOODBURY,NJ,8096,GLOUCESTER,(856) 845-0100,Acute Care Hospitals,Voluntary non-profit - Private
+63622,DUNES SURGICAL HOSPITAL,600 N SIOUX POINT ROAD,DAKOTA DUNES,SD,57049,UNION,(605) 232-3332,Acute Care Hospitals,Proprietary
+37205,NORTHWESTERN MEMORIAL HOSPITAL,251 E HURON ST,CHICAGO,IL,60611,COOK,(312) 926-2000,Acute Care Hospitals,Voluntary non-profit - Private
+22758,LITTLE RIVER MEMORIAL HOSPITAL,451 WEST LOCKE STREET,ASHDOWN,AR,71822,LITTLE RIVER,(870) 898-5011,Critical Access Hospitals,Voluntary non-profit - Private
+35957,BATH COMMUNITY HOSPITAL,106 PARK DRIVE- PO DRAWER Z,HOT SPRINGS,VA,24445,BATH,(540) 839-7000,Critical Access Hospitals,Voluntary non-profit - Private
+61220,ST LUKE'S HOSPITAL - ANDERSON CAMPUS,1872 ST LUKE'S BLVD,EASTON,PA,18045,NORTHAMPTON,(484) 503-3000,Acute Care Hospitals,Voluntary non-profit - Private
+52990,CHOCTAW HEALTH CENTER,ROUTE 7 BOX R50,PHILADELPHIA,MS,39350,NESHOBA,(601) 656-2211,Acute Care Hospitals,Government - Federal
+81720,ROSEBUD HEALTH CARE CENTER,383 N 17TH AV,FORSYTH,MT,59327,ROSEBUD,(406) 346-2161,Critical Access Hospitals,Voluntary non-profit - Private
+22880,OLEAN GENERAL HOSPITAL,515 MAIN STREET,OLEAN,NY,14760,CATTARAUGUS,(716) 373-2600,Acute Care Hospitals,Proprietary
+22241,INTEGRIS GROVE HOSPITAL,1001 EAST 18TH STREET,GROVE,OK,74344,DELAWARE,(918) 786-2243,Acute Care Hospitals,Voluntary non-profit - Private
+68801,DR SOLOMON CARTER FULLER MENTAL HEALTH CENTER,85 EAST NEWTON STREET,BOSTON,MA,2118,SUFFOLK,(617) 626-8700,Psychiatric,Government - State
+60441,RUTLAND REGIONAL MEDICAL CENTER,160 ALLEN ST,RUTLAND,VT,5701,RUTLAND,(802) 775-7111,Acute Care Hospitals,Voluntary non-profit - Private
+78404,MARY LANNING HEALTHCARE,715 N ST JOSEPH AVE,HASTINGS,NE,68901,ADAMS,(402) 461-5108,Acute Care Hospitals,Voluntary non-profit - Other
+22074,REEDSBURG AREA MEDICAL CENTER,2000 N DEWEY AVE,REEDSBURG,WI,53959,SAUK,(608) 524-6487,Critical Access Hospitals,Voluntary non-profit - Private
+31437,RICHLAND HOSPITAL,333 E SECOND ST,RICHLAND CENTER,WI,53581,RICHLAND,(608) 647-6321,Critical Access Hospitals,Voluntary non-profit - Private
+90181,KAPIOLANI MEDICAL CENTER FOR WOMEN & CHILDREN,1319 PUNAHOU STREET,HONOLULU,HI,96826,HONOLULU,(808) 983-6000,Childrens,Voluntary non-profit - Private
+56982,VAUGHAN REGIONAL MEDICAL CENTER PARKWAY CAMPUS,1015 MEDICAL CENTER PARKWAY,SELMA,AL,36701,DALLAS,(334) 418-4100,Acute Care Hospitals,Proprietary
+60253,RIDGECREST REGIONAL HOSPITAL,1081 NORTH CHINA LAKE BLVD,RIDGECREST,CA,93555,KERN,(760) 446-3551,Critical Access Hospitals,Voluntary non-profit - Private
+65300,LOGAN MEMORIAL HOSPITAL,1625 NASHVILLE STREET,RUSSELLVILLE,KY,42276,LOGAN,(270) 726-4011,Acute Care Hospitals,Proprietary
+20376,VENICE REGIONAL MEDICAL CENTER - BAYFRONT HEALTH,540 THE RIALTO,VENICE,FL,34285,SARASOTA,(941) 485-7711,Acute Care Hospitals,Proprietary
+36266,POUDRE VALLEY HOSPITAL,1024 S LEMAY AVE,FORT COLLINS,CO,80524,LARIMER,(970) 495-7000,Acute Care Hospitals,Voluntary non-profit - Private
+15368,GRANT MEMORIAL HOSPITAL,117 HOSPITAL DRIVE,PETERSBURG,WV,26847,GRANT,(304) 257-1026,Critical Access Hospitals,Voluntary non-profit - Other
+10765,ADVENTIST HEALTHCARE SHADY GROVE MEDICAL CENTER,9901 MEDICAL CENTER DRIVE,ROCKVILLE,MD,20850,MONTGOMERY,(240) 826-6527,Acute Care Hospitals,Voluntary non-profit - Private
+79034,NOVANT HEALTH HUNTERSVILLE MEDICAL CENTER,10030 GILEAD ROAD,HUNTERSVILLE,NC,28078,MECKLENBURG,(704) 316-4000,Acute Care Hospitals,Voluntary non-profit - Private
+85797,UCHEALTH GRANDVIEW HOSPITAL,5623 PULPIT PEAK VIEW,COLORADO SPRINGS,CO,80918,EL PASO,(719) 272-3623,Acute Care Hospitals,Voluntary non-profit - Private
+83639,MERCY HOSPITAL NORTHWEST ARKANSAS,2710 SOUTH RIFE MEDICAL LANE,ROGERS,AR,72758,BENTON,(479) 338-8000,Acute Care Hospitals,Voluntary non-profit - Church
+21788,JACKSON COUNTY MEMORIAL HOSPITAL AUTHORITY,1200 EAST PECAN ST,ALTUS,OK,73521,JACKSON,(580) 379-5000,Acute Care Hospitals,Government - Hospital District or Authority
+58307,HARTGROVE HOSPITAL,5730 W ROOSEVELT ROAD,CHICAGO,IL,60644,COOK,(773) 413-1700,Psychiatric,Proprietary
+47882,RIVERWOOD HEALTHCARE CENTER,200 BUNKER HILL DRIVE,AITKIN,MN,56431,AITKIN,(218) 927-5501,Critical Access Hospitals,Voluntary non-profit - Private
+36363,VANTAGE POINT OF NORTHWEST ARKANSAS,4253 CROSSOVER ROAD,FAYETTEVILLE,AR,72703,WASHINGTON,(479) 521-5731,Psychiatric,Proprietary
+35745,ST JOSEPH'S HOSPITAL,1 AMALIA DRIVE,BUCKHANNON,WV,26201,UPSHUR,(304) 472-2000,Critical Access Hospitals,Voluntary non-profit - Private
+42921,NORTHSIDE HOSPITAL,6000 49TH ST N,SAINT PETERSBURG,FL,33709,PINELLAS,(813) 521-5000,Acute Care Hospitals,Proprietary
+19687,PRAIRIE ST JOHNS,510 4TH STREET SOUTH,FARGO,ND,58103,CASS,(701) 476-7200,Psychiatric,Proprietary
+93344,SEQUEL POMEGRANATE HEALTH SYSTEMS LLC,765 PIERCE DRIVE,COLUMBUS,OH,43223,FRANKLIN,(614) 223-1650,Psychiatric,Proprietary
+76022,SOUTH LAKE HOSPITAL,1900 DON WICKHAM DR,CLERMONT,FL,34711,LAKE,(352) 394-4071,Acute Care Hospitals,Government - Hospital District or Authority
+68794,PIKEVILLE MEDICAL CENTER,911 BYPASS ROAD,PIKEVILLE,KY,41501,PIKE,(606) 218-3500,Acute Care Hospitals,Voluntary non-profit - Private
+40511,TEXAS HEALTH HARRIS METHODIST HOSPITAL AZLE,108 DENVER TRAIL,AZLE,TX,76020,TARRANT,(817) 444-8700,Acute Care Hospitals,Voluntary non-profit - Church
+75649,SEILING MUNICIPAL HOSPITAL,809 NE HIGHWAY 60,SEILING,OK,73663,DEWEY,(580) 922-7361,Critical Access Hospitals,Government - Local
+51803,CENTRA CARE HEALTH PAYNESVILLE,200 1ST STREET WEST,PAYNESVILLE,MN,56362,STEARNS,(320) 243-3779,Critical Access Hospitals,Voluntary non-profit - Private
+70983,GRAHAM COUNTY HOSPITAL,304 WEST PROUT STREET,HILL CITY,KS,67642,GRAHAM,(785) 421-2121,Critical Access Hospitals,Government - Local
+77076,NORTHRIDGE MEDICAL CENTER,70 MEDICAL CENTER DRIVE,COMMERCE,GA,30529,JACKSON,(706) 335-1100,Acute Care Hospitals,Government - Hospital District or Authority
+77358,VIRTUA WEST JERSEY HOSPITALS VOORHEES,100 BOWMAN DRIVE,VOORHEES,NJ,8043,CAMDEN,(856) 247-3000,Acute Care Hospitals,Voluntary non-profit - Private
+17895,MILLE LACS HEALTH SYSTEM,200 NORTH ELM STREET,ONAMIA,MN,56359,MILLE LACS,(320) 532-3154,Critical Access Hospitals,Voluntary non-profit - Private
+24197,ADVENTIST HEALTH LODI MEMORIAL,975 S FAIRMONT AVENUE,LODI,CA,95240,SAN JOAQUIN,(209) 334-3411,Acute Care Hospitals,Voluntary non-profit - Other
+78736,MACON COMMUNITY HOSPITAL,204 MEDICAL DRIVE,LAFAYETTE,TN,37083,MACON,(615) 666-2147,Critical Access Hospitals,Voluntary non-profit - Private
+72714,SOUTHEAST GEORGIA HEALTH SYSTEM- CAMDEN CAMPUS,2000 DAN PROCTOR DRIVE,SAINT MARYS,GA,31558,CAMDEN,(912) 576-6401,Acute Care Hospitals,Government - Hospital District or Authority
+81408,VALLEYWISE HEALTH MEDICAL CENTER,2601 EAST ROOSEVELT STREET,PHOENIX,AZ,85008,MARICOPA,(602) 344-5011,Acute Care Hospitals,Government - Local
+76397,MERCYONE DUBUQUE MEDICAL CENTER,250 MERCY DRIVE,DUBUQUE,IA,52001,DUBUQUE,(563) 589-8000,Acute Care Hospitals,Voluntary non-profit - Church
+55895,RYDER MEMORIAL HOSPITAL INC,355 AVE FONT MARTELO,HUMACAO,PR,791,HUMACAO,(787) 852-0768,Acute Care Hospitals,Voluntary non-profit - Private
+24416,BCA STONECREST CENTER,15000 GRATIOT AVENUE,DETROIT,MI,48205,WAYNE,(313) 245-0600,Psychiatric,Proprietary
+93577,PEAK VIEW BEHAVIORAL HEALTH,7353 SISTERS GROVE,COLORADO SPRINGS,CO,80923,EL PASO,(719) 444-8484,Psychiatric,Proprietary
+41635,HEALTHSOURCE SAGINAW,3340 HOSPITAL ROAD,SAGINAW,MI,48603,SAGINAW,(989) 790-7888,Acute Care Hospitals,Voluntary non-profit - Other
+18158,BOULDER CITY HOSPITAL,901 ADAMS BLVD,BOULDER CITY,NV,89005,CLARK,(702) 293-4111,Critical Access Hospitals,Voluntary non-profit - Private
+94689,COMMUNITY MEMORIAL HOSPITAL,400 N CALDWELL ST,STAUNTON,IL,62088,MACOUPIN,(618) 635-2200,Critical Access Hospitals,Voluntary non-profit - Private
+46442,TACOMA GENERAL ALLENMORE HOSPITAL,315 S MLK JR WAY,TACOMA,WA,98405,PIERCE,(253) 403-1000,Acute Care Hospitals,Voluntary non-profit - Private
+35536,BAYLOR SCOTT AND WHITE MEDICAL CENTER SUNNYVALE,231 SOUTH COLLINS ROAD,SUNNYVALE,TX,75182,DALLAS,(972) 892-3000,Acute Care Hospitals,Proprietary
+41662,MERCY ST FRANCIS HOSPITAL,"100 WEST HIGHWAY 60, PO BOX 82",MOUNTAIN VIEW,MO,65548,HOWELL,(417) 934-7000,Critical Access Hospitals,Voluntary non-profit - Private
+39609,MOUNT SINAI HOSPITAL,ONE GUSTAVE L LEVY PLACE,NEW YORK,NY,10029,NEW YORK,(212) 241-7981,Acute Care Hospitals,Voluntary non-profit - Private
+94210,ADVENTIST HEALTH REEDLEY,372 W CYPRESS AVE,REEDLEY,CA,93654,FRESNO,(559) 638-8155,Acute Care Hospitals,Voluntary non-profit - Private
+74879,MEMORIAL HOSPITAL SWEETWATER COUNTY,1200 COLLEGE DRIVE,ROCK SPRINGS,WY,82901,SWEETWATER,(307) 362-3711,Acute Care Hospitals,Government - Local
+39825,INDIANA UNIVERSITY HEALTH NORTH HOSPITAL,11700 N MERIDIAN ST,CARMEL,IN,46032,HAMILTON,(317) 688-2000,Acute Care Hospitals,Voluntary non-profit - Private
+46407,BAYLOR SCOTT AND WHITE EMERGENCY HOSPITAL BURLESON,12500 SOUTH FREEWAY SUITE 100,BURLESON,TX,76028,JOHNSON,(214) 294-6250,Acute Care Hospitals,Proprietary
+15346,SOUTHERN TENNESSEE REGIONAL HLTH SYSTEM WINCHESTER,185 HOSPITAL ROAD,WINCHESTER,TN,37398,FRANKLIN,(931) 967-8295,Acute Care Hospitals,Proprietary
+16196,WINDSOR LAURELWOOD CENTER FOR BEHAVORIAL MEDICINE,35900 EUCLID AVENUE,WILLOUGHBY,OH,44094,LAKE,(440) 953-3000,Psychiatric,Proprietary
+93166,CALAIS REGIONAL HOSPITAL,24 HOSPITAL LANE,CALAIS,ME,4619,WASHINGTON,(207) 454-7521,Critical Access Hospitals,Voluntary non-profit - Private
+22407,MOUNTAIN VIEW HOSPITAL,3201 SCENIC HIGHWAY,GADSDEN,AL,35902,ETOWAH,(256) 546-9265,Psychiatric,Proprietary
+90726,METHODIST HOSPITAL OF CHICAGO,5025 N PAULINA STREET,CHICAGO,IL,60640,COOK,(773) 271-9040,Acute Care Hospitals,Voluntary non-profit - Private
+94771,INOVA MOUNT VERNON HOSPITAL,2501 PARKERS LANE,ALEXANDRIA,VA,22306,FAIRFAX,(703) 664-7000,Acute Care Hospitals,Voluntary non-profit - Private
+45069,FLAGSTAFF MEDICAL CENTER,1200 NORTH BEAVER STREET,FLAGSTAFF,AZ,86001,COCONINO,(928) 779-3366,Acute Care Hospitals,Voluntary non-profit - Private
+47200,SSM HEALTH ST MARY'S HOSPITAL - JANESVILLE,3400 EAST RACINE STREET,JANESVILLE,WI,53546,ROCK,(608) 373-8000,Acute Care Hospitals,Voluntary non-profit - Other
+18894,LOMA LINDA UNIVERSITY BEHAVIORAL MED CTR,1710 BARTON ROAD,REDLANDS,CA,92373,SAN BERNARDINO,(909) 558-9200,Psychiatric,Voluntary non-profit - Private
+81926,MILFORD VALLEY MEMORIAL HOSPITAL,850 NORTH MAIN STREET,MILFORD,UT,84751,BEAVER,(435) 387-2411,Critical Access Hospitals,Government - Hospital District or Authority
+66742,UPMC SUSQUEHANNA MUNCY,215 EAST WATER STREET,MUNCY,PA,17756,LYCOMING,(570) 546-8282,Critical Access Hospitals,Voluntary non-profit - Private
+15487,VIDANT MEDICAL CENTER,2100 STANTONSBURG RD,GREENVILLE,NC,27834,PITT,(252) 847-4100,Acute Care Hospitals,Voluntary non-profit - Private
+61997,"WILLIS KNIGHTON MEDICAL CENTER, INC",2600 GREENWOOD ROAD,SHREVEPORT,LA,71103,CADDO,(318) 212-4000,Acute Care Hospitals,Voluntary non-profit - Private
+38082,ADVENTHEALTH WESLEY CHAPEL,2600 BRUCE B DOWNS BLVD,WESLEY CHAPEL,FL,33544,PASCO,(813) 929-5490,Acute Care Hospitals,Voluntary non-profit - Private
+15296,"SURGICAL HOSPITAL OF OKLAHOMA, LLC",100 SOUTHEAST 59TH STREET,OKLAHOMA CITY,OK,73129,OKLAHOMA,(405) 634-9300,Acute Care Hospitals,Physician
+43406,HCA HOUSTON HEALTHCARE CLEAR LAKE,500 MEDICAL CENTER BLVD,WEBSTER,TX,77598,HARRIS,(281) 332-2511,Acute Care Hospitals,Proprietary
+41986,MAGEE WOMENS HOSPITAL OF UPMC HEALTH SYSTEM,300 HALKET STREET,PITTSBURGH,PA,15213,ALLEGHENY,(412) 641-4010,Acute Care Hospitals,Voluntary non-profit - Other
+40648,WYCKOFF HEIGHTS MEDICAL CENTER,374 STOCKHOLM STREET,BROOKLYN,NY,11237,KINGS,(718) 963-7272,Acute Care Hospitals,Voluntary non-profit - Private
+74801,GRANITE COUNTY MEDICAL CENTER,310 SANSOME ST,PHILIPSBURG,MT,59858,GRANITE,(406) 859-3271,Critical Access Hospitals,Government - Hospital District or Authority
+85201,BETH ISRAEL DEACONESS MEDICAL CENTER,330 BROOKLINE AVENUE,BOSTON,MA,2215,SUFFOLK,(617) 667-7000,Acute Care Hospitals,Voluntary non-profit - Private
+39735,POMONA VALLEY HOSPITAL MEDICAL CENTER,1798 N GAREY AVE,POMONA,CA,91767,LOS ANGELES,(909) 865-9500,Acute Care Hospitals,Voluntary non-profit - Private
+73707,HEARTLAND REGIONAL MEDICAL CENTER,3333 W DEYOUNG,MARION,IL,62959,WILLIAMSON,(618) 998-7000,Acute Care Hospitals,Proprietary
+89846,SACRED HEART HOSPITAL ON THE EMERALD COAST,7800 US HWY 98 W,MIRAMAR BEACH,FL,32550,WALTON,(850) 278-3600,Acute Care Hospitals,Voluntary non-profit - Other
+87228,ST VINCENT HEALTHCARE,1233 N 30TH ST,BILLINGS,MT,59101,YELLOWSTONE,(406) 657-7000,Acute Care Hospitals,Voluntary non-profit - Church
+40289,SPECTRUM HEALTH ZEELAND COMMUNITY HOSPITAL,8333 FELCH ST,ZEELAND,MI,49464,OTTAWA,(616) 772-4644,Acute Care Hospitals,Voluntary non-profit - Private
+82334,WILLS EYE HOSPITAL,840 WALNUT STREET,PHILADELPHIA,PA,19107,PHILADELPHIA,(215) 440-3100,Acute Care Hospitals,Voluntary non-profit - Private
+13455,FIELD HEALTH SYSTEM,178 HIGHWAY 24,CENTREVILLE,MS,39631,WILKINSON,(601) 890-0500,Critical Access Hospitals,Government - Local
+14622,ELMIRA PSYCH CENTER,WASHINGTON ST,ELMIRA,NY,14901,CHEMUNG,(607) 737-4739,Psychiatric,Government - State
+44710,FAYETTE COUNTY HOSPITAL,7TH AND TAYLOR,VANDALIA,IL,62471,FAYETTE,(618) 283-1231,Critical Access Hospitals,Voluntary non-profit - Other
+68316,LIBERTY DAYTON REGIONAL MEDICAL CENTER,1353 N TRAVIS ST,LIBERTY,TX,77575,LIBERTY,(936) 336-7316,Critical Access Hospitals,Government - Hospital District or Authority
+72406,MANIILAQ HEALTH CENTER,PO BOX 43,KOTZEBUE,AK,99752,NORTHWEST ARTIC BOROUGH,(907) 442-3321,Critical Access Hospitals,Tribal
+42756,OCEANS BEHAVIORAL HOSPITAL OF ALEXANDRIA,2621 NORTH BOLTON AVENUE,ALEXANDRIA,LA,71303,RAPIDES,(318) 448-8473,Psychiatric,Proprietary
+50666,HARRISON COUNTY COMMUNITY HOSPITAL,2600 MILLER STREET,BETHANY,MO,64424,HARRISON,(660) 425-0284,Critical Access Hospitals,Government - Hospital District or Authority
+20060,GREAT RIVER MEDICAL CENTER,1520 N DIVISION STREET,BLYTHEVILLE,AR,72315,MISSISSIPPI,(870) 838-7300,Acute Care Hospitals,Government - Local
+39631,OSF HOLY FAMILY MEDICAL CENTER,1000 W HARLEM AVENUE,MONMOUTH,IL,61462,WARREN,(309) 734-3141,Critical Access Hospitals,Voluntary non-profit - Church
+55671,MAIMONIDES MEDICAL CENTER,4802 TENTH AVENUE,BROOKLYN,NY,11219,KINGS,(718) 283-6000,Acute Care Hospitals,Voluntary non-profit - Private
+66323,FISHER COUNTY HOSPITAL DISTRICT,774 STATE HIGHWAY 70 N,ROTAN,TX,79546,FISHER,(325) 735-2256,Critical Access Hospitals,Government - Hospital District or Authority
+13487,WAYNE COUNTY HOSPITAL,166 HOSPITAL STREET,MONTICELLO,KY,42633,WAYNE,(606) 348-9343,Critical Access Hospitals,Voluntary non-profit - Private
+10493,PROVIDENCE HOLY CROSS MEDICAL CENTER,15031 RINALDI ST,MISSION HILLS,CA,91346,LOS ANGELES,(818) 365-8051,Acute Care Hospitals,Voluntary non-profit - Church
+42078,KONA COMMUNITY HOSPITAL,79-1019 HAUKAPILA STREET,KEALAKEKUA,HI,96750,HAWAII,(808) 322-9311,Acute Care Hospitals,Government - State
+24555,THE HEALTHCENTER,320 SUNNYVIEW LANE,KALISPELL,MT,59901,FLATHEAD,(406) 756-4720,Acute Care Hospitals,Proprietary
+14383,RENOWN SOUTH MEADOWS MEDICAL CENTER,10101 DOUBLE R BLVD,RENO,NV,89521,WASHOE,(775) 982-7063,Acute Care Hospitals,Voluntary non-profit - Private
+60258,MARSHALL MEDICAL CENTERS SOUTH CAMPUS,2505 U S HIGHWAY 431 NORTH,BOAZ,AL,35957,MARSHALL,(256) 593-8310,Acute Care Hospitals,Government - Hospital District or Authority
+18105,THE MEDICAL CENTER OF SOUTHEAST TEXAS,2555 JIMMY JOHNSON BLVD,PORT ARTHUR,TX,77640,JEFFERSON,(409) 853-5900,Acute Care Hospitals,Physician
+50746,MEDICAL BEHAVIORAL HOSPITAL - MISHAWAKA,1625 EAST JEFFERSON BLVD,MISHAWAKA,IN,46545,ST. JOSEPH,(574) 485-1703,Psychiatric,Proprietary
+56567,BEAVER DAM COMMUNITY HOSPITAL,707 S UNIVERSITY AVE,BEAVER DAM,WI,53916,DODGE,(920) 887-7181,Acute Care Hospitals,Voluntary non-profit - Private
+28556,CHRISTUS MOTHER FRANCES HOSPITAL- WINNSBORO,719 WEST COKE ROAD,WINNSBORO,TX,75494,WOOD,(903) 342-5227,Critical Access Hospitals,Voluntary non-profit - Private
+10899,HARNEY DISTRICT HOSPITAL,557 W WASHINGTON STREET,BURNS,OR,97720,HARNEY,(541) 573-7281,Critical Access Hospitals,Government - Hospital District or Authority
+60465,MEMORIAL HOSPITAL,715 SOUTH TAFT AVENUE,FREMONT,OH,43420,SANDUSKY,(419) 334-6617,Acute Care Hospitals,Voluntary non-profit - Other
+31274,EMANUEL MEDICAL CENTER,117 KITE ROAD,SWAINSBORO,GA,30401,EMANUEL,(478) 289-1304,Acute Care Hospitals,Government - Hospital District or Authority
+72343,MOCCASSIN BEND MENTAL HEALTH INSTITUTE,100 MOCCASIN BEND ROAD,CHATTANOOGA,TN,37405,HAMILTON,(423) 785-2271,Psychiatric,Government - State
+84799,1st Medical Group (Langley AFB),633 MDG 77 Nealy Ave,Langley,VA,23665,HAMPTON CITY,(757) 225-7630,Acute Care - Department of Defense,Department of Defense
+59224,BURGESS HEALTH CENTER,1600 DIAMOND STREET,ONAWA,IA,51040,MONONA,(712) 423-2311,Critical Access Hospitals,Voluntary non-profit - Private
+64455,ST LUKE'S ELMORE MEDICAL CENTER,895 NORTH 6TH EAST,MOUNTAIN HOME,ID,83647,ELMORE,(208) 587-8401,Critical Access Hospitals,Voluntary non-profit - Private
+24325,MERCY HOSPITAL TURNER MEMORIAL,801 WEST RIVER STREET,OZARK,AR,72949,FRANKLIN,(479) 667-4138,Critical Access Hospitals,Voluntary non-profit - Private
+31883,MERCY HEALTH - SPRINGFIELD REGIONAL MEDICAL CENTER,100 MEDICAL CENTER DRIVE,SPRINGFIELD,OH,45504,CLARK,(937) 523-1000,Acute Care Hospitals,Voluntary non-profit - Private
+78598,PARRISH MEDICAL CENTER,951 N WASHINGTON AVE,TITUSVILLE,FL,32796,BREVARD,(321) 268-6111,Acute Care Hospitals,Government - Hospital District or Authority
+39670,BRISTOL REGIONAL MEDICAL CENTER,ONE MEDICAL PARK BLVD,BRISTOL,TN,37620,SULLIVAN,(423) 844-1121,Acute Care Hospitals,Government - Hospital District or Authority
+19349,HILLCREST HOSPITAL,6780 MAYFIELD ROAD,MAYFIELD HEIGHTS,OH,44124,CUYAHOGA,(440) 312-4500,Acute Care Hospitals,Voluntary non-profit - Private
+42309,NORTHERN WESTCHESTER HOSPITAL,400 EAST MAIN STREET,MOUNT KISCO,NY,10549,WESTCHESTER,(914) 666-1200,Acute Care Hospitals,Voluntary non-profit - Private
+72925,ASCENSION BORGESS LEE HOSPITAL,420 W HIGH ST,DOWAGIAC,MI,49047,CASS,(269) 782-8681,Critical Access Hospitals,Voluntary non-profit - Church
+23272,HOLY CROSS HOSPITAL,1500 FOREST GLEN ROAD,SILVER SPRING,MD,20910,MONTGOMERY,(301) 754-7000,Acute Care Hospitals,Voluntary non-profit - Church
+21058,UPMC MERCY,1400 LOCUST STREET,PITTSBURGH,PA,15219,ALLEGHENY,(412) 232-8111,Acute Care Hospitals,Voluntary non-profit - Private
+81842,DUPONT HOSPITAL LLC,2520 E DUPONT RD,FORT WAYNE,IN,46825,ALLEN,(260) 416-3000,Acute Care Hospitals,Proprietary
+90719,"CORPUS CHRISTI MEDICAL CENTER,THE",6629 WOODRIDGE ROAD,CORPUS CHRISTI,TX,78414,NUECES,(361) 761-1501,Acute Care Hospitals,Proprietary
+57118,WISE HEALTH SYSTEM,3200 NORTH TARRANT PARKWAY,FORT WORTH,TX,76177,TARRANT,(817) 502-7300,Acute Care Hospitals,Government - Hospital District or Authority
+21002,TEXAS HEALTH CENTER FOR DIAGNOSTICS & SURGERY PLAN,6020 W PARKER ROAD,PLANO,TX,75093,COLLIN,(972) 403-2700,Acute Care Hospitals,Proprietary
+92003,HUNTINGTON BEACH HOSPITAL,17772 BEACH BLVD,HUNTINGTON BEACH,CA,92647,ORANGE,(714) 843-5000,Acute Care Hospitals,Proprietary
+88278,G WERBER BRYAN PSYCH HOSP,220 FAISON DR,COLUMBIA,SC,29203,RICHLAND,(803) 935-7143,Psychiatric,Government - State
+87434,SAN DIMAS COMMUNITY HOSPITAL,1350 W COVINA BLVD,SAN DIMAS,CA,91773,LOS ANGELES,(909) 599-6811,Acute Care Hospitals,Proprietary
+17809,PARADISE VALLEY HOSPITAL,2400 EAST 4TH ST,NATIONAL CITY,CA,91950,SAN DIEGO,(619) 470-4321,Acute Care Hospitals,Proprietary
+82364,REGIONAL MEDICAL CENTER OF CENTRAL ALABAMA,29 L V STABLER DRIVE,GREENVILLE,AL,36037,BUTLER,(334) 382-2200,Acute Care Hospitals,Proprietary
+48917,ST LUKE'S HOSPITAL,702 1ST ST SW,CROSBY,ND,58730,DIVIDE,(701) 965-6384,Critical Access Hospitals,Voluntary non-profit - Private
+23933,FITZGIBBON HOSPITAL,2305 S 65 HIGHWAY,MARSHALL,MO,65340,SALINE,(660) 886-7431,Acute Care Hospitals,Voluntary non-profit - Private
+61469,CATAWBA VALLEY MEDICAL CENTER,810 FAIRGROVE CHURCH RD,HICKORY,NC,28602,CATAWBA,(828) 326-3809,Acute Care Hospitals,Voluntary non-profit - Other
+63859,THOMAS B FINAN CENTER,"10102 COUNTRY CLUB ROAD,  POST OFFICE BOX 1722",CUMBERLAND,MD,21502,ALLEGANY,(301) 777-2240,Psychiatric,Government - Local
+18033,WAYNE COUNTY HOSPITAL,417 SOUTH EAST STREET,CORYDON,IA,50060,WAYNE,(641) 872-2260,Critical Access Hospitals,Government - Local
+19127,COLUMBIA MEMORIAL HOSPITAL,71 PROSPECT AVENUE,HUDSON,NY,12534,COLUMBIA,(518) 828-7601,Acute Care Hospitals,Voluntary non-profit - Private
+28792,"GUIDANCE CENTER, THE",2187 NORTH VICKEY STREET,FLAGSTAFF,AZ,86004,COCONINO,(928) 527-1899,Psychiatric,Voluntary non-profit - Private
+56284,CHRISTUS SANTA ROSA MEDICAL CENTER,2827 BABCOCK ROAD,SAN ANTONIO,TX,78229,BEXAR,(210) 704-3342,Acute Care Hospitals,Voluntary non-profit - Church
+42263,NESHOBA COUNTY GENERAL HOSPITAL,1001 HOLLAND AVENUE,PHILADELPHIA,MS,39350,NESHOBA,(601) 663-1200,Acute Care Hospitals,Government - Local
+53791,BANNER CHURCHILL COMMUNITY HOSPITAL,801 EAST WILLIAMS AVENUE,FALLON,NV,89406,CHURCHILL,(775) 423-3151,Critical Access Hospitals,Voluntary non-profit - Private
+26031,KIMBALL HEALTH SERVICES,505 SOUTH BURG ST,KIMBALL,NE,69145,KIMBALL,(308) 235-1951,Critical Access Hospitals,Government - Local
+18098,LANE REGIONAL MEDICAL CENTER,6300 MAIN STREET,ZACHARY,LA,70791,E. BATON ROUGE,(225) 658-4000,Acute Care Hospitals,Government - Hospital District or Authority
+12028,PRESBYTERIAN COMMUNITY HOSP,1451 ASHFORD AVENUE,SAN JUAN,PR,907,SAN JUAN,(787) 721-2160,Acute Care Hospitals,Voluntary non-profit - Other
+67017,COLLEGE STATION MEDICAL CENTER,1604 ROCK PRAIRIE ROAD,COLLEGE STATION,TX,77842,BRAZOS,(979) 764-5151,Acute Care Hospitals,Proprietary
+75608,RIVERSIDE METHODIST HOSPITAL,3535 OLENTANGY RIVER RD,COLUMBUS,OH,43214,FRANKLIN,(614) 566-5000,Acute Care Hospitals,Voluntary non-profit - Private
+17034,PHILHAVEN HOSPITAL,283 SOUTH BUTLER ROAD,MT GRETNA,PA,17064,LEBANON,(717) 273-8871,Psychiatric,Voluntary non-profit - Church
+10692,ST VINCENT WARRICK,1116 MILLIS AVE,BOONVILLE,IN,47601,WARRICK,(812) 897-4800,Critical Access Hospitals,Voluntary non-profit - Private
+26620,CASS REGIONAL MEDICAL CENTER,2800 E ROCK HAVEN ROAD,HARRISONVILLE,MO,64701,CASS,(816) 380-5888,Critical Access Hospitals,Government - Local
+82875,ATRIUM HEALTH ANSON,2301 US HIGHWAY 74 WEST,WADESBORO,NC,28170,ANSON,(704) 694-5131,Acute Care Hospitals,Government - Hospital District or Authority
+52234,BAYLOR SCOTT AND WHITE EMERGENCY HOSPITAL AUBREY,26791 HIGHWAY 380,AUBREY,TX,76227,DENTON,(972) 347-2525,Acute Care Hospitals,Proprietary
+62030,OWENSBORO HEALTH MUHLENBERG COMMUNITY HOSPITAL,440 HOPKINSVILLE STREET,GREENVILLE,KY,42345,MUHLENBERG,(270) 338-8000,Acute Care Hospitals,Voluntary non-profit - Private
+82138,HIGHLANDS CASHIERS HOSPITAL,190 HOSPITAL DRIVE,HIGHLANDS,NC,28741,MACON,(828) 526-1200,Critical Access Hospitals,Voluntary non-profit - Private
+70194,BAYLOR SCOTT & WHITE MEDICAL CENTER -TAYLOR,305 MALLARD,TAYLOR,TX,76574,WILLIAMSON,(512) 352-7611,Critical Access Hospitals,Voluntary non-profit - Private
+82633,CARSON TAHOE REGIONAL MEDICAL CENTER,1600 MEDICAL PARKWAY,CARSON CITY,NV,89703,CARSON CITY,(775) 445-8000,Acute Care Hospitals,Voluntary non-profit - Private
+71348,QUEEN OF THE VALLEY MEDICAL CENTER,1000 TRANCAS ST,NAPA,CA,94558,NAPA,(707) 252-4411,Acute Care Hospitals,Voluntary non-profit - Church
+33241,GENESIS MEDICAL CENTER-DEWITT,1118 11TH STREET,DEWITT,IA,52742,CLINTON,(563) 659-4200,Critical Access Hospitals,Voluntary non-profit - Private
+78219,WELLSTAR PAULDING HOSPITAL,2518 JIMMY LEE SMITH PARKWAY,HIRAM,GA,30141,PAULDING,(470) 644-7000,Acute Care Hospitals,Voluntary non-profit - Other
+34147,UNITYPOINT HEALTH-MARSHALLTOWN,3 S 4TH AVE,MARSHALLTOWN,IA,50158,MARSHALL,(641) 754-5151,Acute Care Hospitals,Voluntary non-profit - Private
+93110,LANSDALE HOSPITAL,100 MEDICAL CAMPUS DRIVE,LANSDALE,PA,19446,MONTGOMERY,(215) 368-2100,Acute Care Hospitals,Voluntary non-profit - Other
+64746,PROVIDENCE MEDICAL CENTER,1200 PROVIDENCE RD,WAYNE,NE,68787,WAYNE,(402) 375-3800,Critical Access Hospitals,Voluntary non-profit - Private
+60925,GUNDERSEN ST JOSEPHS HOSPITAL AND CLINICS,400 WATER AVE,HILLSBORO,WI,54634,VERNON,(608) 489-8000,Critical Access Hospitals,Voluntary non-profit - Private
+92530,BRONX-LEBANON HOSPITAL CENTER,1276 FULTON AVENUE,BRONX,NY,10456,BRONX,(212) 588-7000,Acute Care Hospitals,Proprietary
+58670,LASALLE GENERAL HOSPITAL,187 NINTH ST/HWY 84 WEST,JENA,LA,71342,LASALLE,(318) 992-9200,Acute Care Hospitals,Government - Hospital District or Authority
+80126,ASPEN HILLS HEALTHCARE CENTER,600 PEMBERTON-BROWNS MILLS ROAD,PEMBERTON,NJ,8068,BURLINGTON,(609) 836-6100,Psychiatric,Proprietary
+88440,"PORTER HOSPITAL, INC",115 PORTER DRIVE,MIDDLEBURY,VT,5753,ADDISON,(802) 388-4701,Critical Access Hospitals,Voluntary non-profit - Private
+30465,UNIVERSITY HOSPITALS - ELYRIA MEDICAL CENTER,630 EAST RIVER STREET,ELYRIA,OH,44035,LORAIN,(440) 329-7500,Acute Care Hospitals,Voluntary non-profit - Private
+37355,"ARKANSAS CHILDREN'S NORTHWEST, INC",2601 GENE GEORGE BOULEVARD,SPRINGDALE,AR,72762,WASHINGTON,(479) 725-6800,Childrens,Voluntary non-profit - Private
+78048,CANTON-POTSDAM HOSPITAL,50 LEROY STREET,POTSDAM,NY,13676,ST. LAWRENCE,(315) 265-3300,Acute Care Hospitals,Voluntary non-profit - Private
+89294,FRANKLIN REGIONAL HOSPITAL,15 AIKEN AVENUE,FRANKLIN,NH,3235,MERRIMACK,(603) 934-2060,Critical Access Hospitals,Voluntary non-profit - Private
+35391,KAUAI VETERANS MEMORIAL HOSPITAL,4643 WAIMEA CANYON DRIVE,WAIMEA,HI,96796,KAUAI,(808) 338-9431,Critical Access Hospitals,Government - State
+42255,CONWAY REGIONAL HEALTH SYSTEM,2302 COLLEGE AVENUE,CONWAY,AR,72034,FAULKNER,(501) 329-3831,Acute Care Hospitals,Voluntary non-profit - Private
+21828,ADVENTIST HEALTH SONORA,1000 GREENLEY ROAD,SONORA,CA,95370,TUOLUMNE,(209) 536-5000,Acute Care Hospitals,Voluntary non-profit - Church
+88941,DEKALB REGIONAL MEDICAL CENTER,200 MED CENTER DRIVE,FORT PAYNE,AL,35968,DE KALB,(256) 845-3150,Acute Care Hospitals,Proprietary
+94307,MEMORIAL HERMANN KATY HOSPITAL,23900 KATY FREEWAY,KATY,TX,77494,FORT BEND,(281) 392-1111,Acute Care Hospitals,Voluntary non-profit - Private
+60085,SOUTH MIAMI HOSPITAL,6200 SW 73RD ST,SOUTH MIAMI,FL,33143,MIAMI-DADE,(786) 662-4000,Acute Care Hospitals,Voluntary non-profit - Private
+14010,NATIONAL PARK MEDICAL CENTER,1910 MALVERN AVENUE,HOT SPRINGS,AR,71901,GARLAND,(501) 321-1000,Acute Care Hospitals,Proprietary
+23451,PROVIDENCE MEDFORD MEDICAL CENTER,1111 CRATER LAKE AVENUE,MEDFORD,OR,97504,JACKSON,(541) 732-5050,Acute Care Hospitals,Voluntary non-profit - Church
+82415,AURORA WEST ALLIS MEDICAL CENTER,8901 W LINCOLN AVE,WEST ALLIS,WI,53227,MILWAUKEE,(414) 328-6000,Acute Care Hospitals,Voluntary non-profit - Private
+21273,PROVIDENCE ST JOSEPH HOSPITAL,500 EAST WEBSTER,CHEWELAH,WA,99109,STEVENS,(509) 935-8211,Critical Access Hospitals,Voluntary non-profit - Church
+70958,"MEDICAL WEST, AN AFFILIATE OF UAB HEALTH SYSTEM",995 9TH AVENUE SOUTHWEST,BESSEMER,AL,35021,JEFFERSON,(205) 481-7000,Acute Care Hospitals,Government - Hospital District or Authority
+23988,COMMUNITY HOSPITAL OF THE MONTEREY PENINSULA,23625 W R HOLMAN HIGHWAY,MONTEREY,CA,93940,MONTEREY,(831) 624-5311,Acute Care Hospitals,Voluntary non-profit - Private
+88716,HOLLY HILL MENTAL HEALTH SERVICES,3019 FALSTAFF RD,RALEIGH,NC,27610,WAKE,(919) 250-7000,Psychiatric,Proprietary
+21949,CHI ST ALEXIUS HEALTH DICKINSON,2500 FAIRWAY STREET,DICKINSON,ND,58601,STARK,(701) 456-4000,Critical Access Hospitals,Voluntary non-profit - Church
+64309,MOUNT PLEASANT HOSPITAL,3510 HIGHWAY 17 NORTH SUITE 140,MOUNT PLEASANT,SC,29466,CHARLESTON,(843) 724-2954,Acute Care Hospitals,Voluntary non-profit - Private
+17363,STRATEGIC BEHAVIORAL CENTER-CHARLOTTE,1715 SHARON ROAD WEST,CHARLOTTE,NC,28210,MECKLENBURG,(704) 944-0650,Psychiatric,Proprietary
+26560,KETCHIKAN MEDICAL CENTER,3100 TONGASS AVENUE,KETCHIKAN,AK,99901,KETCHIKAN GATEWAY,(907) 225-5171,Critical Access Hospitals,Voluntary non-profit - Church
+31462,COLLEGE HOSPITAL COSTA MESA,301 VICTORIA STREET,COSTA MESA,CA,92627,ORANGE,(949) 642-2734,Acute Care Hospitals,Proprietary
+83263,PATRICK B HARRIS PSYCHIATRIC HOSPITAL,130 HIGHWAY 252,ANDERSON,SC,29622,ANDERSON,(803) 231-2600,Psychiatric,Government - State
+90476,ADVENTHEALTH DADE CITY,13100 FT KING RD,DADE CITY,FL,33525,PASCO,(352) 568-3174,Acute Care Hospitals,Proprietary
+59852,BARSTOW COMMUNITY HOSPITAL,820 E MOUNTAIN VIEW STREET,BARSTOW,CA,92311,SAN BERNARDINO,(760) 256-1761,Acute Care Hospitals,Proprietary
+63076,CLINCH VALLEY MEDICAL CENTER,6801 GOVERNOR GC PERRY HIGHWAY,RICHLANDS,VA,24641,TAZEWELL,(276) 596-6000,Acute Care Hospitals,Proprietary
+12867,HARDIN MEDICAL CENTER,935 WAYNE ROAD,SAVANNAH,TN,38372,HARDIN,(731) 926-8121,Acute Care Hospitals,Government - Local
+46286,CHRIST HOSPITAL,2139 AUBURN AVENUE,CINCINNATI,OH,45219,HAMILTON,(513) 585-2000,Acute Care Hospitals,Voluntary non-profit - Private
+43030,BUTLER COUNTY HEALTH CARE CENTER,372 SOUTH 9TH ST,DAVID CITY,NE,68632,BUTLER,(402) 367-1200,Critical Access Hospitals,Government - Local
+61077,ELLENVILLE REGIONAL HOSPITAL,10 HEALTHY WAY,ELLENVILLE,NY,12428,ULSTER,(845) 647-6400,Critical Access Hospitals,Voluntary non-profit - Private
+70589,SPRINGFIELD HOSPITAL CENTER,6655 SYKESVILLE ROAD,SYKESVILLE,MD,21784,CARROLL,(410) 970-7000,Psychiatric,Government - State
+14880,"DELAWARE VALLEY HOSPITAL, INC",1 TITUS PLACE,WALTON,NY,13856,DELAWARE,(607) 865-2188,Critical Access Hospitals,Voluntary non-profit - Private
+63509,MULTICARE AUBURN MEDICAL CENTER,202 NORTH DIVISION STREET PLAZA ONE,AUBURN,WA,98001,KING,(253) 833-7711,Acute Care Hospitals,Voluntary non-profit - Private
+76421,GREEN OAKS HOSPITAL,7808 CLODUS FIELDS DRIVE,DALLAS,TX,75251,DALLAS,(972) 991-9504,Psychiatric,Voluntary non-profit - Other
+15928,CHRISTUS ST MICHAEL HEALTH SYSTEM,2600 ST MICHAEL DR,TEXARKANA,TX,75504,BOWIE,(903) 614-1000,Acute Care Hospitals,Voluntary non-profit - Church
+42760,TARZANA TREATMENT CENTER,18646 OXNARD STREET,TARZANA,CA,91356,LOS ANGELES,(818) 996-1051,Psychiatric,Voluntary non-profit - Private
+88731,CHRISTUS SOUTHEAST TEXAS- ST ELIZABETH,2830 CALDER AVENUE,BEAUMONT,TX,77702,JEFFERSON,(409) 892-7171,Acute Care Hospitals,Voluntary non-profit - Private
+53145,THE HEART HOSPITAL BAYLOR DENTON,2801 SOUTH MAYHILL ROAD,DENTON,TX,76208,DENTON,(940) 220-0600,Acute Care Hospitals,Physician
+53409,RED LAKE HOSPITAL A,PO BOX 497,REDLAKE,MN,56671,BELTRAMI,(218) 679-3912,Acute Care Hospitals,Government - Federal
+62424,MCGEHEE HOSPITAL,900 SOUTH THIRD STREET,MCGEHEE,AR,71654,DESHA,(870) 222-5600,Critical Access Hospitals,Voluntary non-profit - Private
+77736,METHODIST HOSPITAL OF SACRAMENTO,7500 HOSPITAL DRIVE,SACRAMENTO,CA,95823,SACRAMENTO,(916) 423-6010,Acute Care Hospitals,Voluntary non-profit - Private
+43533,LAKE HEALTH,7590 AUBURN ROAD,CONCORD,OH,44077,LAKE,(440) 953-9600,Acute Care Hospitals,Voluntary non-profit - Private
+62814,KOSSUTH REGIONAL HEALTH CENTER,1515 SOUTH PHILLIPS STREET,ALGONA,IA,50511,KOSSUTH,(515) 295-2451,Critical Access Hospitals,Government - Local
+43858,TRACE REGIONAL HOSP AND SWING BED,1002 EAST MADISON STREET,HOUSTON,MS,38851,CHICKASAW,(662) 456-3700,Acute Care Hospitals,Proprietary
+35557,RIVERSIDE REGIONAL MEDICAL CENTER,500 J CLYDE MORRIS BLVD,NEWPORT NEWS,VA,23601,NEWPORT NEWS CITY,(757) 594-2000,Acute Care Hospitals,Voluntary non-profit - Private
+13594,CLAY COUNTY HOSPITAL,911 STACY BURK DRIVE,FLORA,IL,62839,CLAY,(618) 662-2131,Critical Access Hospitals,Government - Local
+19057,SSM HEALTH ST ANTHONY HOSPITAL - OKLAHOMA CITY,1000 NORTH LEE AVENUE,OKLAHOMA CITY,OK,73101,OKLAHOMA,(405) 272-7000,Acute Care Hospitals,Voluntary non-profit - Church
+61372,AURORA SAN DIEGO,11878 AVENUE OF INDUSTRY,SAN DIEGO,CA,92128,SAN DIEGO,(858) 487-3200,Psychiatric,Proprietary
+32527,MEMORIALCARE ORANGE COAST MEDICAL CENTER,9920 TALBERT AVENUE,FOUNTAIN VALLEY,CA,92708,ORANGE,(714) 378-7406,Acute Care Hospitals,Proprietary
+71109,YALE-NEW HAVEN HOSPITAL,20 YORK ST,NEW HAVEN,CT,6504,NEW HAVEN,(203) 688-4242,Acute Care Hospitals,Voluntary non-profit - Private
+42379,UPMC HORIZON,110 NORTH MAIN STREET,GREENVILLE,PA,16125,MERCER,(724) 588-2100,Acute Care Hospitals,Voluntary non-profit - Private
+43541,BROOKLYN HOSPITAL CENTER - DOWNTOWN CAMPUS,121 DEKALB AVENUE,BROOKLYN,NY,11201,KINGS,(718) 250-8000,Acute Care Hospitals,Voluntary non-profit - Private
+60274,CENTRAL TEXAS MEDICAL CENTER,1301 WONDER WORLD DRIVE,SAN MARCOS,TX,78666,HAYS,(512) 753-3690,Acute Care Hospitals,Voluntary non-profit - Private
+50969,ST LUKE'S CORNWALL HOSPITAL,70 DUBOIS STREET,NEWBURGH,NY,12550,ORANGE,(845) 561-4400,Acute Care Hospitals,Voluntary non-profit - Other
+10297,NORTH SUNFLOWER MEDICAL CENTER CAH,840 NORTH OAK AVENUE,RULEVILLE,MS,38771,SUNFLOWER,(662) 756-2711,Critical Access Hospitals,Government - Local
+80883,PLANTATION GENERAL HOSPITAL,401 NW 42ND AVE,PLANTATION,FL,33317,BROWARD,(954) 587-5010,Acute Care Hospitals,Voluntary non-profit - Private
+53639,"SAINT ALPHONSUS MEDICAL CENTER - ONTARIO, INC",351 SW 9TH STREET,ONTARIO,OR,97914,MALHEUR,(541) 881-7000,Acute Care Hospitals,Voluntary non-profit - Church
+87316,TANNER MEDICAL CENTER-EAST ALABAMA,1032 MAIN STREET SOUTH,WEDOWEE,AL,36278,RANDOLPH,(256) 357-2111,Critical Access Hospitals,Government - Hospital District or Authority
+20901,MORRIS HOSPITAL & HEALTHCARE CENTERS,150 W HIGH ST,MORRIS,IL,60450,GRUNDY,(815) 942-2932,Acute Care Hospitals,Voluntary non-profit - Private
+59998,BANNER BEHAVIORAL HEALTH HOSPITAL,7575 EAST EARLL DRIVE,SCOTTSDALE,AZ,85251,MARICOPA,(480) 448-7500,Psychiatric,Voluntary non-profit - Private
+30777,LAKE GRANBURY MEDICAL CENTER,1310 PALUXY RD,GRANBURY,TX,76048,HOOD,(817) 573-2683,Acute Care Hospitals,Proprietary
+46078,OCEAN BEACH HOSPITAL,174 FIRST AVENUE NORTH,ILWACO,WA,98624,PACIFIC,(360) 642-3181,Critical Access Hospitals,Government - State
+36833,PARMA COMMUNITY GENERAL HOSPITAL,7007 POWERS BOULEVARD,PARMA,OH,44129,CUYAHOGA,(440) 743-3000,Acute Care Hospitals,Voluntary non-profit - Private
+77346,KAISER FOUNDATION HOSPITAL,3288 MOANALUA RD,HONOLULU,HI,96819,HONOLULU,(808) 432-0000,Acute Care Hospitals,Voluntary non-profit - Private
+52034,GREENFIELD AREA MEDICAL CENTER,550 MIRABEAU STREET,GREENFIELD,OH,45123,HIGHLAND,(937) 981-9400,Critical Access Hospitals,Voluntary non-profit - Private
+82299,GARDEN CITY HOSPITAL,6245 INKSTER RD,GARDEN CITY,MI,48135,WAYNE,(734) 421-3300,Acute Care Hospitals,Voluntary non-profit - Private
+84066,GARRETT COUNTY MEMORIAL HOSPITAL,251 NORTH  FOURTH STREET,OAKLAND,MD,21550,GARRETT,(301) 533-4173,Acute Care Hospitals,Voluntary non-profit - Private
+41469,EFFINGHAM HEALTH SYSTEM,459 GA HIGHWAY 119 SOUTH,SPRINGFIELD,GA,31329,EFFINGHAM,(912) 754-0160,Critical Access Hospitals,Government - Hospital District or Authority
+71435,UCHEALTH PIKES PEAK REGIONAL HOSPITAL,16420 WEST HIGHWAY 24,WOODLAND PARK,CO,80863,TELLER,(719) 687-9999,Critical Access Hospitals,Voluntary non-profit - Private
+64240,N Y EYE AND EAR INFIRMARY,230 SECOND AVE,NEW YORK,NY,10003,NEW YORK,(212) 979-4000,Acute Care Hospitals,Voluntary non-profit - Private
+58667,AURORA MEDICAL CENTER SUMMIT,36500 AURORA DRIVE,SUMMIT,WI,53066,WAUKESHA,(262) 434-1000,Acute Care Hospitals,Voluntary non-profit - Private
+62707,NORTHERN LIGHT A R GOULD HOSPITAL,PO BOX 151,PRESQUE ISLE,ME,4769,AROOSTOOK,(207) 768-4000,Acute Care Hospitals,Voluntary non-profit - Private
+24307,CONNECTICUT MENTAL HEALTH CENTER,34 PARK STREET,NEW HAVEN,CT,6508,NEW HAVEN,(203) 974-3000,Psychiatric,Government - State
+63118,FAIRMONT REGIONAL MEDICAL CENTER,1325 LOCUST AVENUE,FAIRMONT,WV,26554,MARION,(304) 367-7100,Acute Care Hospitals,Voluntary non-profit - Private
+73269,FRANCISCAN HEALTH OLYMPIA & CHICAGO HEIGHTS,20201 S CRAWFORD AVENUE,OLYMPIA FIELDS,IL,60461,COOK,(708) 747-4000,Acute Care Hospitals,Voluntary non-profit - Church
+44467,UNITYPOINT HEALTH - MERITER,202 S PARK ST,MADISON,WI,53715,DANE,(608) 417-6000,Acute Care Hospitals,Voluntary non-profit - Private
+91056,MEDICAL CITY ARLINGTON,3301 MATLOCK ROAD,ARLINGTON,TX,76015,TARRANT,(817) 465-3241,Acute Care Hospitals,Proprietary
+82609,ST LUKE'S SUGAR LAND HOSPITAL,1317 LAKE POINTE PARKWAY,SUGAR LAND,TX,77478,FORT BEND,(281) 637-7000,Acute Care Hospitals,Voluntary non-profit - Private
+84590,PULLMAN REGIONAL HOSPITAL,835 S BISHOP BLVD,PULLMAN,WA,99163,WHITMAN,(509) 332-2541,Critical Access Hospitals,Government - Hospital District or Authority
+15277,CALIFORNIA HOSPITAL MEDICAL CENTER LA,1401 SOUTH GRAND AVENUE,LOS ANGELES,CA,90015,LOS ANGELES,(213) 748-2411,Acute Care Hospitals,Voluntary non-profit - Other
+87364,PUNXSUTAWNEY AREA HOSPITAL,81 HILLCREST DRIVE,PUNXSUTAWNEY,PA,15767,JEFFERSON,(814) 938-1800,Acute Care Hospitals,Voluntary non-profit - Private
+13166,Bayne-Jones ACH (Ft Polk),1585 3rd Street Fort Polk,Fort Polk,LA,71459,VERNON,(337) 531-3118,Acute Care - Department of Defense,Department of Defense
+70482,THE MONROE CLINIC,2005 5TH STREET,MONROE,WI,53566,GREEN,(608) 324-1000,Acute Care Hospitals,Voluntary non-profit - Private
+80800,GREATER BINGHAMTON HEALTH CENTER,425 ROBINSON ST,BINGHAMTON,NY,13901,BROOME,(607) 724-1391,Psychiatric,Government - Local
+34044,ELKHART GENERAL HOSPITAL,600 E BLVD,ELKHART,IN,46514,ELKHART,(574) 294-2621,Acute Care Hospitals,Government - Local
+51224,JACKSON PURCHASE MEDICAL CENTER,1099 MEDICAL CENTER CIRCLE,MAYFIELD,KY,42066,GRAVES,(270) 251-4585,Acute Care Hospitals,Government - Hospital District or Authority
+85546,LORING HOSPITAL,211 HIGHLAND AVENUE PO BOX 217,SAC CITY,IA,50583,SAC,(712) 662-7105,Critical Access Hospitals,Voluntary non-profit - Private
+43838,"BEACON BEHAVIORAL HOSPITAL- NEW ORLEANS, INC",14500 HAYNES BLVD,NEW ORLEANS,LA,70128,ORLEANS,(504) 210-0460,Psychiatric,Proprietary
+32903,ROOKS COUNTY HEALTH CENTER,1210 NORTH WASHINGTON,PLAINVILLE,KS,67663,ROOKS,(785) 434-4553,Critical Access Hospitals,Government - Hospital District or Authority
+81222,ROXBURY TREATMENT CENTER,601 ROXBURY ROAD,SHIPPENSBURG,PA,17257,CUMBERLAND,(717) 532-4217,Psychiatric,Proprietary
+36809,HANCOCK COUNTY HOSPITAL,1519 MAIN STREET HWY 33,SNEEDVILLE,TN,37869,HANCOCK,(423) 733-5001,Critical Access Hospitals,Voluntary non-profit - Private
+69162,SAINT LUKE'S EAST HOSPITAL,100 N E SAINT LUKE'S BOULEVARD,LEES SUMMIT,MO,64086,JACKSON,(816) 347-5000,Acute Care Hospitals,Voluntary non-profit - Private
+15434,CHI-ST VINCENT INFIRMARY,TWO ST VINCENT CIRCLE,LITTLE ROCK,AR,72205,PULASKI,(501) 552-3000,Acute Care Hospitals,Voluntary non-profit - Private
+52313,REGIONAL MEDICAL CENTER OF SAN JOSE,225 N JACKSON AVENUE,SAN JOSE,CA,95116,SANTA CLARA,(408) 259-5000,Acute Care Hospitals,Government - Federal
+65402,THOREK MEMORIAL HOSPITAL,850 W IRVING PARK RD,CHICAGO,IL,60613,COOK,(312) 525-6780,Acute Care Hospitals,Voluntary non-profit - Private
+54247,DELANO REGIONAL MEDICAL CENTER,1401 GARCES HIGHWAY,DELANO,CA,93215,KERN,(661) 725-4800,Acute Care Hospitals,Proprietary
+67648,ONECORE HEALTH,"1044 SW 44TH, SUITE 350",OKLAHOMA CITY,OK,73109,OKLAHOMA,(405) 631-3085,Acute Care Hospitals,Voluntary non-profit - Other
+31829,MERCY MEDICAL CTR,271 CAREW STREET,SPRINGFIELD,MA,1104,HAMPDEN,(413) 748-9000,Acute Care Hospitals,Voluntary non-profit - Private
+85366,ST JOSEPH MERCY OAKLAND,44405 WOODWARD AVE,PONTIAC,MI,48341,OAKLAND,(248) 858-3000,Acute Care Hospitals,Voluntary non-profit - Private
+66561,BAYLOR SCOTT AND WHITE MEDICAL CENTER CARROLLTON,4343 NORTH JOSEY LANE,CARROLLTON,TX,75010,DENTON,(972) 394-2255,Acute Care Hospitals,Proprietary
+12112,UP HEALTH SYSTEM - MARQUETTE,850 W BARAGA AVE,MARQUETTE,MI,49855,MARQUETTE,(906) 228-9440,Acute Care Hospitals,Government - Local
+29931,OVERLOOK MEDICAL CENTER,99 BEAUVOIR AVENUE,SUMMIT,NJ,7902,UNION,(908) 522-2000,Acute Care Hospitals,Voluntary non-profit - Other
+81930,BAPTIST MEDICAL CENTER-YAZOO,823 GRAND AVENUE,YAZOO CITY,MS,39194,YAZOO,(662) 746-2261,Critical Access Hospitals,Voluntary non-profit - Private
+92977,INOVA FAIR OAKS HOSPITAL,3600 JOSEPH SIEWICK DRIVE,FAIRFAX,VA,22033,FAIRFAX,(703) 391-4170,Acute Care Hospitals,Voluntary non-profit - Other
+93054,YUKON KUSKOKWIM DELTA REG HOSPITAL,PO BOX 287,BETHEL,AK,99559,BETHEL,(907) 543-6300,Acute Care Hospitals,Tribal
+87677,VERMILION BEHAVIORAL HEALTH SYSTEMS,2520 N UNIVERSITY AVENUE,LAFAYETTE,LA,70507,LAFAYETTE,(337) 234-5614,Psychiatric,Proprietary
+49883,STEPHENS COUNTY HOSPITAL,163 HOSPITAL DRIVE,TOCCOA,GA,30577,STEPHENS,(706) 282-4250,Acute Care Hospitals,Government - Hospital District or Authority
+38341,PHYSICIAN'S CARE SURGICAL HOSPITAL,454 ENTERPRISE DRIVE,ROYERSFORD,PA,19468,MONTGOMERY,(610) 495-4793,Acute Care Hospitals,Physician
+79635,SOUTHWEST MEDICAL CENTER,315 WEST 15TH STREET,LIBERAL,KS,67901,SEWARD,(620) 629-6291,Acute Care Hospitals,Government - Local
+92465,SAN LUKE'S MEMORIAL HOSPITAL INC,TITO CASTRO AVE #917,PONCE,PR,733,PONCE,(787) 844-2080,Acute Care Hospitals,Voluntary non-profit - Church
+51360,RIVERVIEW HOSPITAL,323 SOUTH MINNESOTA,CROOKSTON,MN,56716,POLK,(218) 281-9200,Critical Access Hospitals,Voluntary non-profit - Private
+72779,ANDERSON RMC SOUTH,1102 CONSTITUTION AVENUE,MERIDIAN,MS,39301,LAUDERDALE,(601) 484-3590,Acute Care Hospitals,Proprietary
+20545,MERIT HEALTH WOMEN'S HOSPITAL,1026 RIVER OAKS DRIVE,FLOWOOD,MS,39232,RANKIN,(601) 932-1000,Acute Care Hospitals,Proprietary
+49236,NORTHCREST MEDICAL CENTER,100 NORTHCREST DRIVE,SPRINGFIELD,TN,37172,ROBERTSON,(615) 384-2411,Acute Care Hospitals,Voluntary non-profit - Other
+88273,OSAGE BEACH CENTER FOR COGNITIVE DISORDERS,840 PASSOVER ROAD,OSAGE BEACH,MO,65065,CAMDEN,(573) 302-0319,Psychiatric,Proprietary
+18914,JOHN C STENNIS MEMORIAL HOSPITAL,14365 HIGHWAY 16 WEST,DE KALB,MS,39328,KEMPER,(769) 486-1000,Critical Access Hospitals,Voluntary non-profit - Private
+79434,NORRISTOWN STATE HOSPITAL,1001 STERIGERE STREET,NORRISTOWN,PA,19401,MONTGOMERY,(610) 313-1000,Psychiatric,Government - State
+78800,"SUMMIT SURGICAL, LLC",1818 EAST 23RD AVENUE,HUTCHINSON,KS,67502,RENO,(620) 662-6000,Acute Care Hospitals,Physician
+93926,COZAD COMMUNITY HOSPITAL,"P O BOX 108, 300 EAST 12TH ST",COZAD,NE,69130,DAWSON,(308) 784-2261,Critical Access Hospitals,Government - Hospital District or Authority
+28899,DELTA COUNTY MEMORIAL HOSPITAL,1501 E 3RD ST,DELTA,CO,81416,DELTA,(970) 874-7681,Acute Care Hospitals,Government - Local
+16429,HOUSTON METHODIST THE WOODLANDS HOSPITAL,17201 INTERSTATE 45 SOUTH,THE WOODLANDS,TX,77385,MONTGOMERY,(936) 270-2000,Acute Care Hospitals,Voluntary non-profit - Private
+90766,HARDIN MEMORIAL HOSPITAL,913 NORTH DIXIE AVENUE,ELIZABETHTOWN,KY,42701,HARDIN,(270) 737-1212,Acute Care Hospitals,Government - Local
+29354,ASCENSION STANDISH HOSPITAL,805 W CEDAR ST,STANDISH,MI,48658,ARENAC,(517) 846-4521,Critical Access Hospitals,Voluntary non-profit - Church
+30159,RIVERSIDE MEDICAL CENTER,1900 SOUTH MAIN ST,FRANKLINTON,LA,70438,WASHINGTON,(985) 795-4431,Critical Access Hospitals,Government - Hospital District or Authority
+78170,ATRIUM MEDICAL CENTER,ONE MEDICAL CENTER DRIVE,FRANKLIN,OH,45005,WARREN,(513) 420-5102,Acute Care Hospitals,Voluntary non-profit - Private
+72203,CONWAY MEDICAL CENTER,300 SINGLETON RIDGE ROAD,CONWAY,SC,29526,HORRY,(843) 347-8037,Acute Care Hospitals,Voluntary non-profit - Private
+87074,IRON COUNTY MEDICAL CENTER,301 NORTH HIGHWAY 21,PILOT KNOB,MO,63663,IRON,(573) 546-1260,Critical Access Hospitals,Government - Hospital District or Authority
+91635,METHODIST MANSFIELD MEDICAL CENTER,2700 E BROAD STREET,MANSFIELD,TX,76063,TARRANT,(682) 622-2059,Acute Care Hospitals,Voluntary non-profit - Private
+27812,CONFLUENCE HEALTH- WENATCHEE VALLEY HOSP & CLINICS,820 NORTH CHELAN AVENUE,WENATCHEE,WA,98801,CHELAN,(509) 663-8711,Acute Care Hospitals,Voluntary non-profit - Private
+18074,"OUR LADY OF LOURDES REGIONAL MEDICAL CENTER, INC",4801 AMBASSADOR CAFFERY PARKWAY,LAFAYETTE,LA,70508,LAFAYETTE,(337) 470-2100,Acute Care Hospitals,Voluntary non-profit - Private
+51511,GRINNELL REGIONAL MEDICAL CENTER,210 FOURTH AVENUE,GRINNELL,IA,50112,POWESHIEK,(641) 236-7511,Acute Care Hospitals,Voluntary non-profit - Private
+81417,MARSHFIELD MEDICAL CENTER,611 ST JOSEPH AVE,MARSHFIELD,WI,54449,WOOD,(715) 387-7850,Acute Care Hospitals,Voluntary non-profit - Church
+18357,WILMINGTON TREATMENT CENTER,2520 TROY DRIVE,WILMINGTON,NC,28401,NEW HANOVER,(910) 762-2727,Acute Care Hospitals,Voluntary non-profit - Private
+50733,LEWISGALE HOSPITAL ALLEGHANY,ONE ARH LANE - PO BOX 7,LOW MOOR,VA,24457,ALLEGHANY,(540) 862-6011,Acute Care Hospitals,Voluntary non-profit - Private
+86511,MARY HURLEY HOSPITAL,6 NORTH COVINGTON,COALGATE,OK,74538,COAL,(580) 927-2327,Critical Access Hospitals,Proprietary
+35729,UPSON REGIONAL MEDICAL CENTER,801 W GORDON STREET,THOMASTON,GA,30286,UPSON,(706) 647-8111,Acute Care Hospitals,Voluntary non-profit - Other
+41396,ST CATHERINE HOSPITAL,401 EAST SPRUCE,GARDEN CITY,KS,67846,FINNEY,(620) 272-2222,Acute Care Hospitals,Voluntary non-profit - Private
+83291,BRISTOL HOSPITAL,BREWSTER RD,BRISTOL,CT,6010,HARTFORD,(860) 585-3000,Acute Care Hospitals,Voluntary non-profit - Private
+94807,ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL AT RAHWAY,865 STONE ST,RAHWAY,NJ,7065,UNION,(732) 381-4200,Acute Care Hospitals,Voluntary non-profit - Private
+57706,PIEDMONT NEWTON HOSPITAL,5126 HOSPITAL DRIVE NE,COVINGTON,GA,30014,NEWTON,(770) 786-7053,Acute Care Hospitals,Voluntary non-profit - Private
+81492,ARROWHEAD BEHAVIORAL HEALTH,1725 TIMBER LINE ROAD,MAUMEE,OH,43537,LUCAS,(419) 891-9333,Psychiatric,Proprietary
+51110,HIGGINS GENERAL HOSPITAL,200 ALLEN MEMORIAL DRIVE,BREMEN,GA,30110,HARALSON,(770) 812-2000,Critical Access Hospitals,Government - Hospital District or Authority
+40331,RUSH COPLEY MEDICAL CENTER,2000 OGDEN AVENUE,AURORA,IL,60504,KANE,(630) 978-6200,Acute Care Hospitals,Voluntary non-profit - Private
+73276,UNITED HOSPITAL,333 NORTH SMITH AVENUE,SAINT PAUL,MN,55102,RAMSEY,(651) 241-8810,Acute Care Hospitals,Voluntary non-profit - Private
+63941,ST CROIX REGIONAL MEDICAL CENTER,235 STATE STREET,SAINT CROIX FALLS,WI,54024,POLK,(715) 483-0556,Critical Access Hospitals,Voluntary non-profit - Private
+50037,BOTHWELL REGIONAL HEALTH CENTER,601 E 14TH ST,SEDALIA,MO,65302,PETTIS,(660) 826-8833,Acute Care Hospitals,Government - Local
+80785,LOURDES COUNSELING CENTER,1175 CARONDELET DRIVE,RICHLAND,WA,99352,BENTON,(509) 943-9104,Psychiatric,Voluntary non-profit - Private
+21705,BEACHAM MEMORIAL HOSPITAL,205 N CHERRY STREET,MAGNOLIA,MS,39652,PIKE,(601) 783-2353,Acute Care Hospitals,Proprietary
+21182,CEDAR RIDGE BEHAVIORAL HOSPITAL,6501 NORTHEAST 50TH STREET,OKLAHOMA CITY,OK,73141,OKLAHOMA,(405) 605-6111,Psychiatric,Proprietary
+79536,KAISER FOUNDATION HOSPITAL - SOUTH SAN FRANCISCO,1200 EL CAMINO REAL,SOUTH SAN FRANCISCO,CA,94080,SAN MATEO,(650) 742-3200,Acute Care Hospitals,Voluntary non-profit - Private
+29353,HILLCREST HOSPITAL CUSHING,1027 EAST CHERRY STREET,CUSHING,OK,74023,PAYNE,(918) 225-2915,Acute Care Hospitals,Proprietary
+51172,CENTERPOINT MEDICAL CENTER,19600 EAST 39TH STREET,INDEPENDENCE,MO,64057,JACKSON,(816) 698-7000,Acute Care Hospitals,Proprietary
+43091,CJW MEDICAL CENTER,7101 JAHNKE ROAD,RICHMOND,VA,23235,CHESTERFIELD,(804) 320-3911,Acute Care Hospitals,Proprietary
+46216,ATHOL MEMORIAL HOSPITAL,2033 MAIN STREET,ATHOL,MA,1331,WORCESTER,(978) 249-3511,Critical Access Hospitals,Voluntary non-profit - Private
+89660,BRONSON LAKEVIEW HOSPITAL,408 HAZEN STREET,PAW PAW,MI,49079,VAN BUREN,(269) 657-1400,Critical Access Hospitals,Voluntary non-profit - Private
+44468,METRO-EAST SERVICES INC,1404 CROSS STREET,SHILOH,IL,62269,ST. CLAIR,(618) 607-1000,Acute Care Hospitals,Voluntary non-profit - Private
+52858,PAUL B HALL REGIONAL MEDICAL CENTER,625 JAMES S TRIMBLE BOULEVARD,PAINTSVILLE,KY,41240,JOHNSON,(606) 789-3511,Acute Care Hospitals,Proprietary
+66059,SAINT JOHN HOSPITAL,3500 SOUTH 4TH STREET,LEAVENWORTH,KS,66048,LEAVENWORTH,(913) 680-6000,Acute Care Hospitals,Voluntary non-profit - Other
+61264,AVENTURA HOSPITAL AND MEDICAL CENTER,20900 BISCAYNE BLVD,AVENTURA,FL,33180,MIAMI-DADE,(305) 682-7000,Acute Care Hospitals,Voluntary non-profit - Private
+42794,CHAMPLAIN VALLEY PHYSICIANS HOSPITAL MEDICAL CTR,75 BEEKMAN STREET,PLATTSBURGH,NY,12901,CLINTON,(518) 562-7767,Acute Care Hospitals,Voluntary non-profit - Private
+40930,GULF COAST REGIONAL MEDICAL CENTER,449 W 23RD ST,PANAMA CITY,FL,32405,BAY,(850) 769-8341,Acute Care Hospitals,Proprietary
+72127,WEST VALLEY MEDICAL CENTER,1717 ARLINGTON STREET,CALDWELL,ID,83605,CANYON,(208) 459-4641,Acute Care Hospitals,Proprietary
+56737,UVALDE MEMORIAL HOSPITAL,1025 GARNER FIELD ROAD,UVALDE,TX,78801,UVALDE,(830) 278-6251,Critical Access Hospitals,Government - Hospital District or Authority
+31603,CLEVELAND CLINIC INDIAN RIVER HOSPITAL,1000 36TH ST,VERO BEACH,FL,32960,INDIAN RIVER,(772) 567-4311,Acute Care Hospitals,Voluntary non-profit - Private
+13501,UT HEALTH EAST TEXAS CARTHAGE HOSPITAL,409 COTTAGE RD,CARTHAGE,TX,75633,PANOLA,(093) 693-3841,Acute Care Hospitals,Voluntary non-profit - Private
+36150,SOUTHEAST COLORADO HOSPITAL,373 E TENTH AVE,SPRINGFIELD,CO,81073,BACA,(719) 523-4501,Critical Access Hospitals,Government - Hospital District or Authority
+45689,"SAINT JOSEPH'S HOSPITAL OF ATLANTA, INC",5665 PEACHTREE DUNWOODY ROAD,ATLANTA,GA,30342,FULTON,(678) 843-5720,Acute Care Hospitals,Voluntary non-profit - Private
+92119,CEDAR CREEK HOSPITAL,101 WEST TOWNSEND ROAD,SAINT JOHNS,MI,48879,CLINTON,(989) 403-6022,Psychiatric,Proprietary
+60694,MERCY HOSPITAL ADA,430 NORTH MONTE VISTA,ADA,OK,74820,PONTOTOC,(580) 332-2323,Acute Care Hospitals,Voluntary non-profit - Private
+94480,SSM HEALTH SAINT JOSEPH HOSPITAL-LAKE SAINT LOUIS,100 MEDICAL PLAZA,LAKE SAINT LOUIS,MO,63367,ST. CHARLES,(636) 625-5200,Acute Care Hospitals,Voluntary non-profit - Church
+44374,SUN BEHAVIORAL DELAWARE LLC,21655 BIDEN AVENUE,GEORGETOWN,DE,19947,SUSSEX,(302) 448-8415,Psychiatric,Proprietary
+27152,SOUTH SHORE HOSPITAL,8012 SOUTH CRANDON AVENUE,CHICAGO,IL,60617,COOK,(773) 356-5000,Acute Care Hospitals,Voluntary non-profit - Private
+67488,FORBES HOSPITAL,2570 HAYMAKER ROAD,MONROEVILLE,PA,15146,ALLEGHENY,(412) 858-2000,Acute Care Hospitals,Voluntary non-profit - Private
+64874,COMMUNITY BEHAVIORAL HEALTH HOSPITAL ANNANDALE,400 ANNANDALE BOULEVARD,ANNANDALE,MN,55302,WRIGHT,(651) 259-3850,Psychiatric,Government - State
+66445,BIG SKY MEDICAL CENTER,334 TOWN CENTER AVE,BIG SKY,MT,59716,GALLATIN,(406) 995-6995,Acute Care Hospitals,Voluntary non-profit - Private
+36993,WASHINGTON HEALTH SYSTEM GREENE,350 BONAR AVENUE,WAYNESBURG,PA,15370,GREENE,(724) 627-2602,Acute Care Hospitals,Voluntary non-profit - Private
+17350,WINCHESTER HOSPITAL,41 HIGHLAND AVENUE,WINCHESTER,MA,1890,MIDDLESEX,(781) 729-9000,Acute Care Hospitals,Voluntary non-profit - Private
+58384,RIVER POINT BEHAVIORAL HEALTH,6300 BEACH BLVD,JACKSONVILLE,FL,32216,DUVAL,(904) 724-9202,Psychiatric,Proprietary
+83895,GRADY MEMORIAL HOSPITAL,561 WEST CENTRAL AVENUE,DELAWARE,OH,43015,DELAWARE,(740) 368-5145,Acute Care Hospitals,Voluntary non-profit - Private
+33496,DAY KIMBALL HOSPITAL,320 POMFRET STREET,PUTNAM,CT,6260,WINDHAM,(860) 928-6541,Acute Care Hospitals,Voluntary non-profit - Private
+31921,LARKIN COMMUNITY HOSPITAL BEHAVIORAL HEALTH SRVS,1201 N 37TH AVE,HOLLYWOOD,FL,33021,BROWARD,(954) 962-1355,Psychiatric,Proprietary
+48361,MEMORIAL HOSPITAL PEMBROKE,7800 SHERIDAN ST,PEMBROKE PINES,FL,33024,BROWARD,(954) 962-9650,Acute Care Hospitals,Government - Hospital District or Authority
+43879,FIRSTLIGHT HEALTH SYSTEM,301 SOUTH HIGHWAY 65,MORA,MN,55051,KANABEC,(320) 679-1212,Critical Access Hospitals,Government - Local
+50896,PARKVIEW NOBLE HOSPITAL,401 SAWYER RD,KENDALLVILLE,IN,46755,NOBLE,(260) 347-8700,Acute Care Hospitals,Voluntary non-profit - Private
+53076,RUSH FOUNDATION HOSPITAL,1314 19TH AVE,MERIDIAN,MS,39301,LAUDERDALE,(601) 483-0011,Acute Care Hospitals,Voluntary non-profit - Private
+22116,SOUTHERN COOS HOSPITAL & HEALTH CENTER,900 11TH STREET SE,BANDON,OR,97411,COOS,(541) 347-2426,Critical Access Hospitals,Government - Hospital District or Authority
+40837,ST JOSEPH REGIONAL HEALTH CENTER,2801 FRANCISCAN DR,BRYAN,TX,77802,BRAZOS,(979) 776-3912,Acute Care Hospitals,Voluntary non-profit - Private
+46625,ST ANTHONY HOSPITAL,11567 CANTERWOOD BOULEVARD NW,GIG HARBOR,WA,98332,PIERCE,(253) 530-2050,Acute Care Hospitals,Voluntary non-profit - Church
+12318,CARILION TAZEWELL COMMUNITY HOSPITAL,388 BEN BOLT AVENUE,TAZEWELL,VA,24651,TAZEWELL,(276) 988-8700,Acute Care Hospitals,Voluntary non-profit - Other
+94571,ADVOCATE CHRIST HOSPITAL & MEDICAL CENTER,4440 W 95TH STREET,OAK LAWN,IL,60453,COOK,(708) 684-8000,Acute Care Hospitals,Voluntary non-profit - Church
+34570,RICHMOND STATE HOSPITAL,498 NW 18TH ST,RICHMOND,IN,47374,WAYNE,(765) 966-0511,Psychiatric,Proprietary
+42342,CAPE COD & ISLANDS COMMUNITY MENTAL HEALTH CENTER,830 COUNTY ROAD,POCASSET,MA,2559,BARNSTABLE,(508) 563-2276,Psychiatric,Government - State
+90153,LOST RIVERS MEDICAL CENTER,551 HIGHLAND DRIVE,ARCO,ID,83213,BUTTE,(208) 252-7654,Critical Access Hospitals,Government - Hospital District or Authority
+32680,HOUSTON COUNTY COMMUNITY HOSPITAL,5001 EAST MAIN STREET,ERIN,TN,37061,HOUSTON,(931) 289-4211,Critical Access Hospitals,Government - Local
+20651,CHRISTUS MOTHER FRANCES HOSPITAL,800 EAST DAWSON,TYLER,TX,75701,SMITH,(903) 593-8441,Acute Care Hospitals,Voluntary non-profit - Private
+58001,CONWAY BEHAVIORAL HEALTH,2255 STURGIS ROAD,CONWAY,AR,72034,FAULKNER,(501) 205-0011,Psychiatric,Proprietary
+83177,WADLEY REGIONAL MEDICAL CENTER AT HOPE,2001 SOUTH MAIN,HOPE,AR,71801,HEMPSTEAD,(870) 722-3800,Acute Care Hospitals,Proprietary
+80709,COLISEUM MEDICAL CENTERS,350 HOSPITAL DRIVE,MACON,GA,31217,BIBB,(478) 765-7000,Acute Care Hospitals,Voluntary non-profit - Private
+55946,BAYFRONT HEALTH PUNTA GORDA,809 E MARION AVE,PUNTA GORDA,FL,33950,CHARLOTTE,(941) 639-3131,Acute Care Hospitals,Proprietary
+24066,SAN ANTONIO REGIONAL HOSPITAL,999 SAN BERNARDINO ROAD,UPLAND,CA,91786,SAN BERNARDINO,(714) 985-2811,Acute Care Hospitals,Voluntary non-profit - Other
+16246,SMYTH COUNTY COMMUNITY HOSPITAL,245 MEDICAL PARK DRIVE,MARION,VA,24354,SMYTH,(276) 378-1000,Acute Care Hospitals,Voluntary non-profit - Private
+68300,SOUTH TEXAS SPINE AND SURGICAL HOSPITAL,18600 NORTH HARDY OAK BLVD,SAN ANTONIO,TX,78258,BEXAR,(210) 404-0800,Acute Care Hospitals,Government - Hospital District or Authority
+57044,HARRISON COUNTY HOSPITAL,1141 HOSPITAL DR NW,CORYDON,IN,47112,HARRISON,(812) 738-4251,Critical Access Hospitals,Government - Local
+30651,ORTHOCOLORADO HOSPITAL AT ST ANTHONY MED CAMPUS,11650 WEST 2ND PLACE,LAKEWOOD,CO,80228,JEFFERSON,(720) 321-5000,Acute Care Hospitals,Proprietary
+46893,PROVIDENCE HOLY FAMILY HOSPITAL,5633 NORTH LIDGERWOOD,SPOKANE,WA,99208,SPOKANE,(509) 482-2450,Acute Care Hospitals,Voluntary non-profit - Private
+23814,SEATTLE CHILDREN'S HOSPITAL,"4800 SAND POINT WAY NE, PO BOX C-5371",SEATTLE,WA,98105,KING,(206) 987-2000,Childrens,Voluntary non-profit - Private
+57151,JEFF DAVIS HOSPITAL,163 SOUTH TALLAHASSEE STREET,HAZLEHURST,GA,31539,JEFF DAVIS,(912) 375-7781,Critical Access Hospitals,Government - Hospital District or Authority
+40717,FLOWERS HOSPITAL,4370 WEST MAIN STREET,DOTHAN,AL,36305,HOUSTON,(334) 793-5000,Acute Care Hospitals,Proprietary
+63468,MERCYONE OELWEIN MEDICAL CENTER,201 EIGHTH AVENUE SE,OELWEIN,IA,50662,FAYETTE,(319) 283-6000,Critical Access Hospitals,Voluntary non-profit - Church
+92334,CHARLES A DEAN MEMORIAL HOSPITAL,PO BOX 1129,GREENVILLE,ME,4441,PISCATAQUIS,(207) 695-5200,Critical Access Hospitals,Voluntary non-profit - Private
+76323,ATHENS LIMESTONE HOSPITAL,700 WEST MARKET STREET,ATHENS,AL,35611,LIMESTONE,(256) 233-9292,Acute Care Hospitals,Government - Hospital District or Authority
+32436,KAHI MOHALA,91-2301 FORT WEAVER ROAD,EWA BEACH,HI,96706,HONOLULU,(808) 671-8511,Psychiatric,Voluntary non-profit - Private
+40141,FOOTHILL REGIONAL MEDICAL CENTER,14662 NEWPORT AVE,TUSTIN,CA,92780,ORANGE,(714) 619-7700,Acute Care Hospitals,Proprietary
+50553,STEPHENS MEMORIAL HOSPITAL,181 MAIN STREET,NORWAY,ME,4268,OXFORD,(207) 743-5933,Critical Access Hospitals,Voluntary non-profit - Private
+78252,ABRAZO ARROWHEAD CAMPUS,18701 NORTH 67TH AVENUE,GLENDALE,AZ,85308,MARICOPA,(623) 561-1000,Acute Care Hospitals,Proprietary
+26309,STAR VALLEY MEDICAL CENTER,901 ADAMS STREET,AFTON,WY,83110,LINCOLN,(307) 885-5800,Critical Access Hospitals,Government - Hospital District or Authority
+21297,PALISADES MEDICAL CENTER,7600 RIVER RD,NORTH BERGEN,NJ,7047,HUDSON,(201) 854-5000,Acute Care Hospitals,Voluntary non-profit - Private
+62834,ST VINCENT ANDERSON REGIONAL HOSPITAL INC,2015 JACKSON ST,ANDERSON,IN,46016,MADISON,(765) 646-8373,Acute Care Hospitals,Voluntary non-profit - Private
+88606,BOWDLE HOSPITAL - CAH,8001 W 5TH  POST OFFICE BOX 556,BOWDLE,SD,57428,EDMUNDS,(605) 285-6146,Critical Access Hospitals,Government - Local
+93761,"COFFEYVILLE REGIONAL MEDICAL CENTER, INC",1400 W 4TH ST,COFFEYVILLE,KS,67337,MONTGOMERY,(620) 251-1200,Acute Care Hospitals,Government - Local
+26289,ALFRED I DUPONT HOSPITAL FOR CHILDREN,1600 ROCKLAND RD PO BOX 269,WILMINGTON,DE,19899,NEW CASTLE,(302) 651-4000,Childrens,Voluntary non-profit - Private
+12880,KAISER FOUNDATION HOSPITAL - BALDWIN PARK,1011 BALDWIN PARK BLVD,BALDWIN PARK,CA,91706,LOS ANGELES,(626) 851-1011,Acute Care Hospitals,Voluntary non-profit - Other
+74747,REGIONAL HEALTH SERVICES OF HOWARD COUNTY,235 8TH AVENUE WEST,CRESCO,IA,52136,HOWARD,(563) 547-2101,Critical Access Hospitals,Government - Local
+91868,EMANUEL MEDICAL CENTER,825 DELBON AVE,TURLOCK,CA,95382,STANISLAUS,(209) 667-4200,Acute Care Hospitals,Voluntary non-profit - Church
+38809,INDIANA UNIVERSITY HEALTH,1701 N SENATE BLVD,INDIANAPOLIS,IN,46202,MARION,(317) 962-5900,Acute Care Hospitals,Voluntary non-profit - Private
+11514,GLENBEIGH HEALTH SOURCES,2863 STATE ROUTE 45,ROCK CREEK,OH,44084,ASHTABULA,(440) 563-3400,Acute Care Hospitals,Voluntary non-profit - Private
+10813,ARKANSAS STATE HOSPITAL,305 S PALM STREET,LITTLE ROCK,AR,72205,PULASKI,(501) 686-9000,Psychiatric,Government - State
+52387,BROOKWOOD BAPTIST MEDICAL CENTER,2010 BROOKWOOD MEDICAL CENTER DRIVE,BIRMINGHAM,AL,35209,JEFFERSON,(205) 877-1000,Acute Care Hospitals,Proprietary
+94662,SSM HEALTH ST ANTHONY HOSPITAL - SHAWNEE,1102 W MACARTHUR,SHAWNEE,OK,74804,POTTAWATOMIE,(405) 878-8110,Acute Care Hospitals,Voluntary non-profit - Private
+22530,HENDERSON HOSPITAL,1050 WEST GALLERIA DRIVE,HENDERSON,NV,89011,CLARK,(318) 290-4395,Acute Care Hospitals,Proprietary
+31464,INDIAN PATH COMMUNITY HOSPITAL,2000 BROOKSIDE DR,KINGSPORT,TN,37660,SULLIVAN,(423) 431-1941,Acute Care Hospitals,Voluntary non-profit - Private
+79667,HOSPITAL MENONITA DE CAYEY,BO. RINCON SECTOR LAS LOMAS  KM.3.1 CARR 14,CAYEY,PR,737,CAYEY,(787) 535-1001,Acute Care Hospitals,Voluntary non-profit - Private
+68073,HILLCREST HOSPITAL HENRYETTA,2401 W MAIN,HENRYETTA,OK,74437,OKMULGEE,(918) 650-1511,Acute Care Hospitals,Proprietary
+44763,COVENANT HOSPITAL PLAINVIEW,2601 DIMMITT RD,PLAINVIEW,TX,79072,HALE,(806) 296-5531,Acute Care Hospitals,Voluntary non-profit - Private
+63857,LEHIGH VALLEY HOSPITAL - HAZLETON,700 EAST BROAD STREET,HAZLETON,PA,18201,LUZERNE,(570) 501-4000,Acute Care Hospitals,Government - Local
+41427,HOSPITAL METROPOLITANO DE LA MONTANA,CALLE ISAAC GONZALEZ ESQUINA LEDESMA,BDA NUEVA,PR,641,UTUADO,(787) 933-1100,Acute Care Hospitals,Proprietary
+27438,SIERRA VIEW MEDICAL CENTER,465 W PUTNAM AVE,PORTERVILLE,CA,93257,TULARE,(559) 784-1110,Acute Care Hospitals,Voluntary non-profit - Private
+55264,NYU LANGONE HOSPITALS,550 FIRST AVENUE,NEW YORK,NY,10016,NEW YORK,(212) 263-7300,Acute Care Hospitals,Voluntary non-profit - Private
+68754,EAST ORANGE GENERAL HOSPITAL,300 CENTRAL AVE,EAST ORANGE,NJ,7018,ESSEX,(973) 266-4401,Acute Care Hospitals,Voluntary non-profit - Private
+19984,KINGS COUNTY HOSPITAL CENTER,451 CLARKSON AVENUE,BROOKLYN,NY,11203,KINGS,(718) 245-3901,Acute Care Hospitals,Government - Local
+28059,LITTLE COLORADO MEDICAL CENTER,1501 NORTH WILLIAMSON AVENUE,WINSLOW,AZ,86047,NAVAJO,(928) 289-4691,Critical Access Hospitals,Voluntary non-profit - Private
+13733,AHMC ANAHEIM REGIONAL MEDICAL CENTER,1111 W LA PALMA AVENUE,ANAHEIM,CA,92801,ORANGE,(714) 774-1450,Acute Care Hospitals,Voluntary non-profit - Private
+64201,DENVER HEALTH MEDICAL CENTER,777 BANNOCK ST,DENVER,CO,80204,DENVER,(303) 602-4930,Acute Care Hospitals,Government - State
+82255,WILKES REGIONAL MEDICAL CENTER,1370 WEST D ST,NORTH WILKESBORO,NC,28659,WILKES,(336) 651-8100,Acute Care Hospitals,Government - Local
+34525,MCLEOD HEALTH CLARENDON,10 EAST HOSPITAL STREET,MANNING,SC,29102,CLARENDON,(803) 435-8463,Acute Care Hospitals,Voluntary non-profit - Private
+43938,GRANDE RONDE HOSPITAL,900 SUNSET DRIVE,LA GRANDE,OR,97850,UNION,(541) 963-8421,Critical Access Hospitals,Voluntary non-profit - Private
+82390,SUTTER LAKESIDE HOSPITAL,5176 HILL ROAD EAST,LAKEPORT,CA,95453,LAKE,(707) 262-5000,Critical Access Hospitals,Voluntary non-profit - Private
+80166,BOX BUTTE GENERAL HOSPITAL,"P O BOX 810, 2101 BOX BUTTE AVE",ALLIANCE,NE,69301,BOX BUTTE,(308) 762-6660,Critical Access Hospitals,Government - Local
+30048,SUN BEHAVIORAL HOUSTON,7601 FANNIN STREET,HOUSTON,TX,77054,HARRIS,(713) 795-5025,Psychiatric,Proprietary
+58850,MEMORIAL MEDICAL CENTER LIVINGSTON,1717 HWY 59 BYPASS,LIVINGSTON,TX,77351,POLK,(936) 327-4381,Acute Care Hospitals,Voluntary non-profit - Private
+28318,MERIT HEALTH WESLEY,5001 W HARDY ST,HATTIESBURG,MS,39402,LAMAR,(601) 268-8000,Acute Care Hospitals,Voluntary non-profit - Private
+47637,JAMAICA HOSPITAL MEDICAL CENTER,89TH AVENUE AND VAN WYCK EXPRESSWAY,JAMAICA,NY,11418,QUEENS,(718) 262-6000,Acute Care Hospitals,Voluntary non-profit - Private
+67914,HI-DESERT MEDICAL CENTER,6601 WHITE FEATHER ROAD,JOSHUA TREE,CA,92252,SAN BERNARDINO,(760) 366-3711,Acute Care Hospitals,Government - Hospital District or Authority
+74961,TEXAS HEALTH HARRIS METHODIST HOSPITAL CLEBURNE,201 WALLS DRIVE,CLEBURNE,TX,76033,JOHNSON,(817) 641-2551,Acute Care Hospitals,Voluntary non-profit - Church
+67167,DR DAN C TRIGG MEMORIAL HOSPITAL,301 EAST MIEL DE LUNA AVENUE,TUCUMCARI,NM,88401,QUAY,(575) 461-7007,Critical Access Hospitals,Voluntary non-profit - Private
+65371,CHILDRESS REGIONAL MEDICAL CENTER,HWY 83 NORTH,CHILDRESS,TX,79201,CHILDRESS,(940) 937-6371,Acute Care Hospitals,Government - Hospital District or Authority
+27661,SISTERSVILLE GENERAL HOSPITAL,314 SOUTH WELLS STREET,SISTERSVILLE,WV,26175,TYLER,(304) 652-2611,Critical Access Hospitals,Government - Local
+48726,PHILLIPS COUNTY HEALTH SYSTEMS,1150 STATE STREET,PHILLIPSBURG,KS,67661,PHILLIPS,(785) 543-5226,Critical Access Hospitals,Government - Local
+88689,OZARK HEALTH,2500 HIGHWAY 65 SOUTH,CLINTON,AR,72031,VAN BUREN,(501) 745-7000,Critical Access Hospitals,Voluntary non-profit - Private
+60019,BLOUNT MEMORIAL HOSPITAL,907 E LAMAR ALEXANDER PARKWAY,MARYVILLE,TN,37804,BLOUNT,(865) 983-7211,Acute Care Hospitals,Government - Local
+60127,MIDSTATE MEDICAL CENTER,435 LEWIS AVENUE,MERIDEN,CT,6450,NEW HAVEN,(203) 694-8200,Acute Care Hospitals,Voluntary non-profit - Private
+59503,GADSDEN REGIONAL MEDICAL CENTER,1007 GOODYEAR AVENUE,GADSDEN,AL,35903,ETOWAH,(256) 494-4000,Acute Care Hospitals,Proprietary
+36262,SHARE MEDICAL CENTER,800 SHARE DRIVE,ALVA,OK,73717,WOODS,(580) 327-2800,Critical Access Hospitals,Government - Hospital District or Authority
+67513,UNIVERSITY OF IOWA HOSPITAL & CLINICS,200 HAWKINS DRIVE,IOWA CITY,IA,52242,JOHNSON,(319) 356-1616,Acute Care Hospitals,Government - State
+35160,NORTHERN LIGHT ACADIA HOSPITAL,268 STILLWATER AVE,BANGOR,ME,4401,PENOBSCOT,(207) 973-6100,Psychiatric,Voluntary non-profit - Private
+14706,ADVOCATE SOUTH SUBURBAN HOSPITAL,17800 S KEDZIE AVE,HAZEL CREST,IL,60429,COOK,(708) 799-8000,Acute Care Hospitals,Voluntary non-profit - Church
+39684,ST LUKE'S MEDICAL CENTER,1800 EAST VAN BUREN STREET,PHOENIX,AZ,85006,MARICOPA,(602) 251-8156,Acute Care Hospitals,Proprietary
+43558,HEART HOSPITAL OF LAFAYETTE,1105 KALISTE SALOOM ROAD,LAFAYETTE,LA,70508,LAFAYETTE,(337) 521-1000,Acute Care Hospitals,Proprietary
+56294,"CORE INSTITUTE SPECIALTY HOSPITAL, THE",6501 NORTH 19TH AVENUE,PHOENIX,AZ,85015,MARICOPA,(602) 795-6020,Acute Care Hospitals,Physician
+20379,SUMMERSVILLE REGIONAL MEDICAL CENTER,400 FAIRVIEW HEIGHTS ROAD,SUMMERSVILLE,WV,26651,NICHOLAS,(304) 872-2891,Critical Access Hospitals,Government - Local
+90653,FILLMORE COMMUNITY HOSPITAL,674 SOUTH HIGHWAY 99,FILLMORE,UT,84631,MILLARD,(435) 743-5591,Critical Access Hospitals,Voluntary non-profit - Private
+91848,HARMON MEMORIAL HOSPITAL,400 EAST CHESTNUT STREET,HOLLIS,OK,73550,HARMON,(580) 688-3363,Critical Access Hospitals,Government - Hospital District or Authority
+80768,BHC WEST HILLS HOSPITAL,1240 E NINTH ST,RENO,NV,89512,WASHOE,(775) 323-0478,Psychiatric,Proprietary
+46174,ST FRANCIS HOSPITAL,7TH AND CLAYTON STS,WILMINGTON,DE,19805,NEW CASTLE,(302) 421-4100,Acute Care Hospitals,Voluntary non-profit - Private
+44179,NORTHERN LIGHT BLUE HILL MEMORIAL HOSPITAL,57 WATER STREET,BLUE HILL,ME,4614,HANCOCK,(207) 374-2836,Critical Access Hospitals,Voluntary non-profit - Private
+12591,FRANKLIN COUNTY MEMORIAL HOSPITAL,1406 Q ST,FRANKLIN,NE,68939,FRANKLIN,(308) 425-6221,Critical Access Hospitals,Government - Local
+54245,SPECTRUM HEALTH PENNOCK,1009 W GREEN ST,HASTINGS,MI,49058,BARRY,(269) 945-3451,Critical Access Hospitals,Voluntary non-profit - Other
+45455,SAMARITAN HOSPITAL-ST MARY'S CAMPUS,1300 MASSACHUSETTS AVENUE,TROY,NY,12180,RENSSELAER,(518) 268-5000,Acute Care Hospitals,Voluntary non-profit - Private
+87806,MARIAN CENTER,451 EAST BISHOP FEDERAL LANE,SALT LAKE CITY,UT,84115,SALT LAKE,(801) 468-6856,Psychiatric,Proprietary
+59319,MUSC HEALTH CHESTER MEDICAL CENTER,1 MEDICAL PARK DRIVE,CHESTER,SC,29706,CHESTER,(803) 581-3151,Acute Care Hospitals,Proprietary
+74416,MARTIN COUNTY HOSPITAL DISTRICT,600 E INTERSTATE 20     PO BOX 640,STANTON,TX,79782,MARTIN,(432) 756-3345,Critical Access Hospitals,Government - Hospital District or Authority
+45408,TRI COUNTY HOSPITAL,415 JEFFERSON STREET NORTH,WADENA,MN,56482,WADENA,(218) 631-3510,Critical Access Hospitals,Voluntary non-profit - Other
+15799,CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER,3333 BURNET AVENUE,CINCINNATI,OH,45229,HAMILTON,(513) 636-3333,Childrens,Voluntary non-profit - Private
+18182,ELLIS HOSPITAL,1101 NOTT STREET,SCHENECTADY,NY,12308,SCHENECTADY,(518) 243-4000,Acute Care Hospitals,Voluntary non-profit - Private
+25402,ASPIRUS KEWEENAW HOSPITAL,205 OSCEOLA,LAURIUM,MI,49913,HOUGHTON,(906) 337-6500,Critical Access Hospitals,Voluntary non-profit - Private
+11473,WIREGRASS MEDICAL CENTER,1200 W MAPLE AVENUE,GENEVA,AL,36340,GENEVA,(334) 684-3655,Acute Care Hospitals,Government - Hospital District or Authority
+19595,MARION GENERAL HOSPITAL,1000 MCKINLEY PARK DRIVE,MARION,OH,43302,MARION,(740) 383-8400,Acute Care Hospitals,Voluntary non-profit - Private
+51906,OHIO HOSPITAL FOR PSYCHIATRY,880 GREENLAWN AVENUE,COLUMBUS,OH,43223,FRANKLIN,(614) 449-9664,Psychiatric,Proprietary
+54854,HAHNEMANN UNIVERSITY HOSPITAL,230 NORTH BROAD STREET,PHILADELPHIA,PA,19102,PHILADELPHIA,(215) 762-7000,Acute Care Hospitals,Proprietary
+14754,ROCKLAND CHILDREN'S PSYCHIATRIC CENTER,2 FIRST AVE,ORANGEBURG,NY,10962,ROCKLAND,(845) 680-8004,Psychiatric,Government - State
+23317,ATOKA COUNTY MEDICAL CENTER,1590 WEST LIBERTY ROAD,ATOKA,OK,74525,ATOKA,(580) 889-3333,Critical Access Hospitals,Government - Hospital District or Authority
+60624,WEISER MEMORIAL HOSPITAL,645 EAST 5TH STREET,WEISER,ID,83672,WASHINGTON,(208) 549-0370,Critical Access Hospitals,Government - Hospital District or Authority
+31071,BYRD REGIONAL HOSPITAL,1020 FERTITTA BLVD,LEESVILLE,LA,71446,VERNON,(337) 239-9041,Acute Care Hospitals,Proprietary
+21219,SHRINERS HOSPITAL FOR CHILDREN-PORTLAND,3101 SW SAM JACKSON PARK ROAD,PORTLAND,OR,97239,MULTNOMAH,(971) 544-3312,Childrens,Voluntary non-profit - Private
+92950,GARRISON MEMORIAL HOSPITAL,407 3RD AVE SE,GARRISON,ND,58540,MCLEAN,(701) 463-2275,Critical Access Hospitals,Voluntary non-profit - Church
+47675,TROY COMMUNITY HOSPITAL,275 GUTHRIE DRIVE,TROY,PA,16947,BRADFORD,(570) 297-2121,Critical Access Hospitals,Voluntary non-profit - Private
+90241,WOODHULL MEDICAL & MENTAL HEALTH CENTER,760 BROADWAY,BROOKLYN,NY,11206,KINGS,(718) 963-8100,Acute Care Hospitals,Government - Local
+62701,Blanchfield ACH (FT Campbell),650 Joel Drive,Fort Campbell,KY,42223,CHRISTIAN,(270) 798-8400,Acute Care - Department of Defense,Department of Defense
+91958,IU HEALTH JAY,500 W VOTAW ST,PORTLAND,IN,47371,JAY,(260) 726-7131,Critical Access Hospitals,Government - Local
+26402,ROCKEFELLER UNIVERSITY HOSPITAL,1230 YORK AVENUE,NEW YORK,NY,10021,NEW YORK,(212) 570-8000,Acute Care Hospitals,Voluntary non-profit - Private
+15270,NORTHERN NEVADA MEDICAL CENTER,2375 E PRATER WAY,SPARKS,NV,89434,WASHOE,(775) 331-7000,Acute Care Hospitals,Proprietary
+94137,BAYPOINTE BEHAVIORAL HEALTH,5800 SOUTHLAND DRIVE,MOBILE,AL,36693,MOBILE,(251) 662-7998,Psychiatric,Voluntary non-profit - Other
+66212,ST JOSEPH'S HOSPITAL,12866 TROXLER AVENUE,HIGHLAND,IL,62249,MADISON,(618) 651-2600,Critical Access Hospitals,Voluntary non-profit - Church
+46914,UPMC ST MARGARET,815 FREEPORT ROAD,PITTSBURGH,PA,15215,ALLEGHENY,(412) 784-4000,Acute Care Hospitals,Voluntary non-profit - Private
+77080,"COMMUNITY MEMORIAL HOSPITAL, INC",150 BROAD STREET,HAMILTON,NY,13346,MADISON,(315) 824-1100,Critical Access Hospitals,Voluntary non-profit - Private
+85798,BAPTIST MEDICAL CENTER - NASSAU,1250 S 18TH ST,FERNANDINA BEACH,FL,32034,NASSAU,(904) 321-3500,Acute Care Hospitals,Voluntary non-profit - Private
+41633,CORNING HOSPITAL,1 GUTHRIE DRIVE,CORNING,NY,14830,STEUBEN,(607) 937-7200,Acute Care Hospitals,Voluntary non-profit - Private
+88057,EMANATE HEALTH INTER-COMMUNITY HOSPITAL,210 W  SAN BERNARDINO ROAD,COVINA,CA,91723,LOS ANGELES,(626) 814-2468,Acute Care Hospitals,Proprietary
+22779,ST MARY'S HEALTHCARE,427 GUY PARK AVENUE,AMSTERDAM,NY,12010,MONTGOMERY,(518) 841-7101,Acute Care Hospitals,Voluntary non-profit - Private
+91729,UPMC BEDFORD MEMORIAL,10455 LINCOLN HIGHWAY,EVERETT,PA,15537,BEDFORD,(814) 623-6161,Acute Care Hospitals,Voluntary non-profit - Private
+43982,ST LUKES HOSPITAL,915 EAST 1ST STREET,DULUTH,MN,55805,ST. LOUIS,(218) 249-5555,Acute Care Hospitals,Voluntary non-profit - Private
+68360,TENNOVA HEALTHCARE-LAFOLLETT MEDICAL CENTER,923 EAST CENTRAL AVENUE,LA FOLLETTE,TN,37766,CAMPBELL,(423) 907-1200,Acute Care Hospitals,Voluntary non-profit - Church
+62570,NORTH SHORE UNIVERSITY HOSPITAL,300 COMMUNITY DRIVE,MANHASSET,NY,11030,NASSAU,(516) 562-0100,Acute Care Hospitals,Voluntary non-profit - Private
+27126,SANFORD BEMIDJI MEDICAL CENTER,1300 ANNE ST NW,BEMIDJI,MN,56601,BELTRAMI,(218) 751-5430,Acute Care Hospitals,Voluntary non-profit - Private
+82157,MARY BRECKINRIDGE ARH HOSPITAL,130 KATE IRELAND DRIVE,HYDEN,KY,41749,LESLIE,(606) 672-2901,Critical Access Hospitals,Voluntary non-profit - Private
+79057,ST BERNARDS MEDICAL CENTER,225 E JACKSON,JONESBORO,AR,72401,CRAIGHEAD,(870) 972-4100,Acute Care Hospitals,Voluntary non-profit - Private
+73748,ASCENSION SACRED HEART PENSACOLA,5151 N 9TH AVE,PENSACOLA,FL,32504,ESCAMBIA,(850) 416-7000,Acute Care Hospitals,Voluntary non-profit - Private
+62817,UNITY MEDICAL CENTER,481 INTERSTATE DRIVE,MANCHESTER,TN,37355,COFFEE,(931) 728-6354,Acute Care Hospitals,Physician
+85557,LAFAYETTE REGIONAL HEALTH CENTER,1500 STATE STREET,LEXINGTON,MO,64067,LAFAYETTE,(660) 259-2203,Critical Access Hospitals,Proprietary
+64189,GARFIELD MEDICAL CENTER,525 N GARFIELD AVE,MONTEREY PARK,CA,91754,LOS ANGELES,(626) 573-2222,Acute Care Hospitals,Proprietary
+48713,STANFORD HEALTH CARE,300 PASTEUR DRIVE,STANFORD,CA,94305,SANTA CLARA,(650) 723-5708,Acute Care Hospitals,Voluntary non-profit - Private
+72181,ORTHONEBRASKA HOSPITAL,2808 SOUTH 143RD PLZ,OMAHA,NE,68144,DOUGLAS,(402) 609-1600,Acute Care Hospitals,Physician
+23360,ASPIRE HEALTH PARTNERS,1800 MERCY DR,ORLANDO,FL,32808,ORANGE,(407) 875-3700,Psychiatric,Voluntary non-profit - Private
+84063,UPMC PRESBYTERIAN SHADYSIDE,200 LOTHROP STREET,PITTSBURGH,PA,15213,ALLEGHENY,(412) 647-8788,Acute Care Hospitals,Voluntary non-profit - Private
+75999,BAPTIST HEALTH MEDICAL CENTER-LITTLE ROCK,9601 INTERSTATE,LITTLE ROCK,AR,72205,PULASKI,(501) 202-2000,Acute Care Hospitals,Voluntary non-profit - Private
+12054,TEXAS HEALTH HEART & VASCULAR HOSPITAL ARLINGTON,811 WRIGHT STREET,ARLINGTON,TX,76012,TARRANT,(817) 960-3500,Acute Care Hospitals,Proprietary
+80682,GOVE COUNTY MEDICAL CENTER,520 WEST 5TH STREET,QUINTER,KS,67752,GOVE,(785) 754-3341,Critical Access Hospitals,Voluntary non-profit - Other
+55816,PUTNAM HOSPITAL CENTER,670 STONELEIGH AVENUE,CARMEL,NY,10512,PUTNAM,(914) 279-5711,Acute Care Hospitals,Voluntary non-profit - Private
+90858,ASSURANCE HEALTH PSYCHIATRIC HOSPITAL,900 NORTH HIGH SCHOOL ROAD,INDIANAPOLIS,IN,46214,MARION,(317) 982-3715,Psychiatric,Proprietary
+76316,MH ST ELIZABETH BOARDMAN HOSPITAL,8401 MARKET STREET,BOARDMAN,OH,44512,MAHONING,(330) 729-2929,Acute Care Hospitals,Voluntary non-profit - Church
+32761,OUR LADY OF FATIMA HOSPITAL,200 HIGH SERVICE AVENUE,NORTH PROVIDENCE,RI,2904,PROVIDENCE,(401) 456-3000,Acute Care Hospitals,Proprietary
+53519,LA PAZ REGIONAL HOSPITAL,1200 WEST MOHAVE ROAD,PARKER,AZ,85344,LAPAZ,(928) 669-9201,Critical Access Hospitals,Voluntary non-profit - Private
+94013,NORTHEASTERN VERMONT REGIONAL HOSPITAL,1315 HOSPITAL DRIVE,SAINT JOHNSBURY,VT,5819,CALEDONIA,(802) 748-7400,Critical Access Hospitals,Voluntary non-profit - Private
+56087,NORTHRIDGE HOSPITAL MEDICAL CENTER,18300 ROSCOE BLVD,NORTHRIDGE,CA,91325,LOS ANGELES,(818) 885-8500,Acute Care Hospitals,Voluntary non-profit - Private
+39424,SAINT ANTHONY MEDICAL CENTER,5666 EAST STATE STREET,ROCKFORD,IL,61108,WINNEBAGO,(815) 226-2000,Acute Care Hospitals,Voluntary non-profit - Church
+87795,METHODIST HEALTHCARE - OLIVE BRANCH HOSPITAL,4250 BETHEL ROAD,OLIVE BRANCH,MS,38654,DE SOTO,(662) 932-9000,Acute Care Hospitals,Voluntary non-profit - Private
+63131,EAST COOPER MEDICAL CENTER,2000 HOSPITAL DR,MOUNT PLEASANT,SC,29464,CHARLESTON,(843) 881-0100,Acute Care Hospitals,Proprietary
+11196,JACKSON MEDICAL CENTER,220 HOSPITAL DRIVE,JACKSON,AL,36545,CLARKE,(251) 246-9021,Acute Care Hospitals,Proprietary
+78051,COOPER COUNTY COMMUNITY HOSPITAL,17651 B HWY,BOONVILLE,MO,65233,COOPER,(660) 882-4100,Acute Care Hospitals,Voluntary non-profit - Other
+66693,CARNEGIE TRI-COUNTY MUNICIPAL HOSPITAL,102 NORTH BROADWAY,CARNEGIE,OK,73015,CADDO,(580) 654-1050,Critical Access Hospitals,Government - Hospital District or Authority
+51058,HARLINGEN MEDICAL CENTER,5501 SOUTH EXPRESSWAY 77,HARLINGEN,TX,78550,CAMERON,(956) 365-1000,Acute Care Hospitals,Proprietary
+56574,LAKE CUMBERLAND REGIONAL HOSPITAL,305 LANGDON STREET,SOMERSET,KY,42503,PULASKI,(606) 679-7441,Acute Care Hospitals,Proprietary
+81395,UPMC SUSQUEHANNA SOLDIERS & SAILORS,32-36 CENTRAL AVENUE,WELLSBORO,PA,16901,TIOGA,(570) 724-1631,Critical Access Hospitals,Voluntary non-profit - Private
+89609,NORTHERN INYO HOSPITAL,150 PIONEER LANE,BISHOP,CA,93514,INYO,(760) 873-5811,Critical Access Hospitals,Government - Hospital District or Authority
+94620,HCA HOUSTON HEALTHCARE KINGWOOD,22999 US HWY 59,KINGWOOD,TX,77325,HARRIS,(281) 359-7500,Acute Care Hospitals,Proprietary
+14250,MAYO CLINIC HOSPITAL ROCHESTER,1216 SECOND STREET SOUTHWEST,ROCHESTER,MN,55902,OLMSTED,(507) 255-1991,Acute Care Hospitals,Voluntary non-profit - Church
+20763,MAPLE GROVE HOSPITAL,9875 HOSPITAL DRIVE,MAPLE GROVE,MN,55369,HENNEPIN,(763) 581-1000,Acute Care Hospitals,Voluntary non-profit - Private
+73530,MARTIN GENERAL HOSPITAL,310 S MCCASKEY RD P O BOX 1128,WILLIAMSTON,NC,27892,MARTIN,(252) 809-6179,Acute Care Hospitals,Government - Local
+43991,DELL CHILDREN'S MEDICAL CENTER OF CENTRAL TEXAS,4900 MUELLER BLVD,AUSTIN,TX,78723,TRAVIS,(512) 324-0000,Childrens,Voluntary non-profit - Private
+10584,TERREBONNE GENERAL MEDICAL CENTER,8166 MAIN STREET,HOUMA,LA,70360,TERREBONNE,(985) 873-4141,Acute Care Hospitals,Government - Hospital District or Authority
+76245,TRENTON PSYCHIATRIC HOSP,STATION A,TRENTON,NJ,8625,MERCER,(609) 633-1586,Psychiatric,Government - State
+67982,COMMUNITY BEHAVIORAL HEALTH HOSPITAL ROCHESTER,251 WOOD LAKE DRIVE SOUTHEAST,ROCHESTER,MN,55904,OLMSTED,(507) 206-2561,Psychiatric,Government - State
+67048,ORANGE REGIONAL MEDICAL CENTER,707 EAST MAIN STREET,MIDDLETOWN,NY,10940,ORANGE,(845) 343-2424,Acute Care Hospitals,Voluntary non-profit - Private
+94686,ADVENTHEALTH FISH MEMORIAL,1055 SAXON BLVD,ORANGE CITY,FL,32763,VOLUSIA,(386) 917-5000,Acute Care Hospitals,Voluntary non-profit - Church
+53215,BAYFRONT HEALTH - ST PETERSBURG,701 6TH ST S,SAINT PETERSBURG,FL,33701,PINELLAS,(727) 823-1234,Acute Care Hospitals,Voluntary non-profit - Private
+17869,PARKWOOD BEHAVIORAL HEALTH SYSTEM,8135 GOODMAN ROAD,OLIVE BRANCH,MS,38654,DE SOTO,(662) 895-4900,Psychiatric,Proprietary
+64203,CAMERON MEMORIAL COMMUNITY HOSPITAL INC,416 E MAUMEE ST,ANGOLA,IN,46703,STEUBEN,(260) 665-2141,Critical Access Hospitals,Voluntary non-profit - Private
+82245,UP HEALTH SYSTEM PORTAGE,500 CAMPUS DRIVE,HANCOCK,MI,49930,HOUGHTON,(906) 483-1000,Acute Care Hospitals,Voluntary non-profit - Other
+10852,CABINET PEAKS MEDICAL CENTER,209 HEALTH PARK DR,LIBBY,MT,59923,LINCOLN,(406) 293-0100,Critical Access Hospitals,Voluntary non-profit - Private
+84172,PRISMA HEALTH OCONEE MEMORIAL HOSPITAL,102B OMNI DR,SENECA,SC,29672,OCONEE,(864) 482-3100,Acute Care Hospitals,Voluntary non-profit - Private
+44430,SUTTER SANTA ROSA REGIONAL HOSPITAL,30 MARK WEST SPRINGS ROAD,SANTA ROSA,CA,95403,SONOMA,(707) 576-4000,Acute Care Hospitals,Voluntary non-profit - Other
+14140,FOUR WINDS,800 CROSS RIVER RD,KATONAH,NY,10536,WESTCHESTER,(914) 763-8151,Psychiatric,Proprietary
+51537,DEER LODGE MEDICAL CENTER,1100 HOLLENBACK LN,DEER LODGE,MT,59722,POWELL,(406) 846-2212,Critical Access Hospitals,Voluntary non-profit - Private
+25969,MULTICARE VALLEY HOSPITAL,12606 EAST MISSION AVENUE,SPOKANE,WA,99216,SPOKANE,(509) 924-6650,Acute Care Hospitals,Voluntary non-profit - Private
+49733,MARGARETVILLE MEMORIAL HOSPITAL,42084 STATE HIGHWAY 28,MARGARETVILLE,NY,12455,DELAWARE,(845) 586-2631,Critical Access Hospitals,Voluntary non-profit - Private
+71771,UNIVERSITY BEHAVIORAL HEALTH,2026 WEST UNIVERSITY DRIVE,DENTON,TX,76201,DENTON,(940) 320-8100,Psychiatric,Government - State
+22499,WESTERN STATE HOSPITAL,1301 RICHMOND ROAD,STAUNTON,VA,24402,STAUNTON CITY,(540) 332-8000,Psychiatric,Government - State
+17167,LINCOLN COUNTY MEDICAL CENTER,211 SUDDERTH DRIVE,RUIDOSO,NM,88345,LINCOLN,(575) 257-8200,Critical Access Hospitals,Voluntary non-profit - Private
+60717,HEART OF AMERICA MEDICAL CENTER,800 S MAIN AVE,RUGBY,ND,58368,PIERCE,(701) 776-5261,Critical Access Hospitals,Voluntary non-profit - Private
+58826,CENTERSTONE OF FLORIDA,2020 26TH AVE E,BRADENTON,FL,34208,MANATEE,(941) 782-4299,Psychiatric,Voluntary non-profit - Private
+83584,JERSEY CITY MEDICAL CENTER,355 GRAND STREET,JERSEY CITY,NJ,7302,HUDSON,(201) 915-2000,Acute Care Hospitals,Voluntary non-profit - Private
+83304,MEMORIAL HOSPITAL,1401 WEST LOCUST,STILWELL,OK,74960,ADAIR,(918) 696-3101,Acute Care Hospitals,Voluntary non-profit - Private
+81747,AMERY HOSPITAL & CLINIC,265 GRIFFIN STREET EAST,AMERY,WI,54001,POLK,(715) 268-0300,Critical Access Hospitals,Voluntary non-profit - Private
+19951,HARRIS REGIONAL HOSPITAL,68 HOSPITAL RD,SYLVA,NC,28779,JACKSON,(828) 586-7000,Acute Care Hospitals,Proprietary
+35049,EUCLID HOSPITAL,18901 LAKE SHORE BOULEVARD,EUCLID,OH,44119,CUYAHOGA,(216) 531-9000,Acute Care Hospitals,Voluntary non-profit - Other
+11745,PROVIDENCE ALASKA MEDICAL CENTER,3200 PROVIDENCE DRIVE,ANCHORAGE,AK,99508,ANCHORAGE,(907) 562-2211,Acute Care Hospitals,Voluntary non-profit - Church
+92635,GOOD SAMARITAN HOSPITAL,375 DIXMYTH AVENUE,CINCINNATI,OH,45220,HAMILTON,(513) 862-2646,Acute Care Hospitals,Voluntary non-profit - Church
+69999,GLENDALE MEM HOSPITAL & HLTH CENTER,1420 S CENTRAL AVE,GLENDALE,CA,91204,LOS ANGELES,(818) 502-1900,Acute Care Hospitals,Voluntary non-profit - Private
+37495,CHILDREN'S HEALTHCARE OF ATLANTA AT EGLESTON,"1405 CLIFTON ROAD, NE",ATLANTA,GA,30322,DE KALB,(404) 785-6101,Childrens,Voluntary non-profit - Private
+62937,CHI HEALTH NEBRASKA HEART,7500 SOUTH 91ST ST,LINCOLN,NE,68526,LANCASTER,(402) 327-2700,Acute Care Hospitals,Voluntary non-profit - Private
+74902,"PATHWAYS OF TENNESSEE, INC",238 SUMMAR DR,JACKSON,TN,38301,MADISON,(731) 935-8200,Psychiatric,Voluntary non-profit - Private
+45128,RUSSELL COUNTY HOSPITAL,153 DOWELL ROAD,RUSSELL SPRINGS,KY,42642,RUSSELL,(270) 866-4141,Critical Access Hospitals,Government - Local
+36562,OTHELLO COMMUNITY HOSPITAL,315 NORTH 14TH AVENUE,OTHELLO,WA,99344,ADAMS,(509) 488-2636,Critical Access Hospitals,Government - Hospital District or Authority
+86312,BOURBON COMMUNITY HOSPITAL,9 LINVILLE DRIVE,PARIS,KY,40361,BOURBON,(859) 987-3600,Acute Care Hospitals,Proprietary
+56451,PRESENCE SAINT FRANCIS HOSPITAL,355 RIDGE AVE,EVANSTON,IL,60202,COOK,(847) 316-4000,Acute Care Hospitals,Voluntary non-profit - Church
+40328,BLACKWELL REGIONAL HOSPITAL,710 SOUTH 13TH STREET,BLACKWELL,OK,74631,KAY,(580) 363-2311,Acute Care Hospitals,Voluntary non-profit - Private
+83482,CANYON RIDGE HOSPITAL,5353 G STREET,CHINO,CA,91710,SAN BERNARDINO,(909) 590-3700,Psychiatric,Proprietary
+66199,SAMARITAN PACIFIC COMMUNITY HOSPITAL,930 SW ABBEY STREET,NEWPORT,OR,97365,LINCOLN,(541) 265-2244,Critical Access Hospitals,Voluntary non-profit - Private
+55511,MEDICAL CENTER OF LEWISVILLE,500 WEST MAIN STREET,LEWISVILLE,TX,75057,DENTON,(972) 420-1000,Acute Care Hospitals,Voluntary non-profit - Private
+61173,WELLBRIDGE HEALTHCARE OF PLANO,4301 MAPLESHADE LANE,PLANO,TX,75093,COLLIN,(972) 596-5445,Psychiatric,Proprietary
+14306,UH GEAUGA MEDICAL CENTER,13207 RAVENNA RD,CHARDON,OH,44024,GEAUGA,(440) 269-6000,Acute Care Hospitals,Voluntary non-profit - Private
+86875,VIRGINIA GAY HOSPITAL,502 NORTH 9TH AVENUE,VINTON,IA,52349,BENTON,(319) 472-6200,Critical Access Hospitals,Voluntary non-profit - Private
+93047,JOHNSON MEMORIAL HOSPITAL,1125 W JEFFERSON ST,FRANKLIN,IN,46131,JOHNSON,(317) 736-3300,Acute Care Hospitals,Government - Local
+69614,GEISINGER-BLOOMSBURG HOSPITAL,549 EAST FAIR STREET,BLOOMSBURG,PA,17815,COLUMBIA,(570) 387-2100,Acute Care Hospitals,Voluntary non-profit - Private
+30041,BIENVILLE MEDICAL CENTER,1175 PINE STREET,ARCADIA,LA,71001,BIENVILLE,(318) 263-4700,Critical Access Hospitals,Proprietary
+35053,NORTON COUNTY HOSPITAL,102 E HOLME STREET,NORTON,KS,67654,NORTON,(785) 877-3351,Critical Access Hospitals,Government - Local
+81940,FORT SANDERS REGIONAL MEDICAL CENTER,1901 W CLINCH AVE,KNOXVILLE,TN,37916,KNOX,(865) 541-1101,Acute Care Hospitals,Voluntary non-profit - Private
+11609,MERCYONE CLINTON MEDICAL CENTER,1410 NORTH 4TH STREET,CLINTON,IA,52732,CLINTON,(563) 244-5555,Acute Care Hospitals,Voluntary non-profit - Private
+93976,L A DOWNTOWN MEDICAL CENTER,1711 WEST TEMPLE STREET,LOS ANGELES,CA,90026,LOS ANGELES,(213) 989-6123,Acute Care Hospitals,Proprietary
+13507,KENNEDY KRIEGER INSTITUTE,707 NORTH  BROADWAY,BALTIMORE,MD,21205,BALTIMORE CITY,(443) 923-9301,Childrens,Voluntary non-profit - Private
+25296,SOUTHWEST MS REGIONAL MEDICAL CENTER,215 MARION AV BOX 1307,MCCOMB,MS,39649,PIKE,(601) 249-5500,Acute Care Hospitals,Government - Local
+72537,FOUNTAIN VALLEY REGIONAL HOSPITAL & MEDICAL CENTER,17100 EUCLID STREET,FOUNTAIN VALLEY,CA,92708,ORANGE,(714) 966-7200,Acute Care Hospitals,Proprietary
+57956,UNITED MEDICAL CENTER,1310 SOUTHERN AVENUE  SE,WASHINGTON,DC,20032,THE DISTRICT,(202) 574-6611,Acute Care Hospitals,Proprietary
+30924,HILTON HEAD REGIONAL MEDICAL CENTER,25 HOSPITAL CENTER BLVD,HILTON HEAD ISLAND,SC,29925,BEAUFORT,(843) 681-6122,Acute Care Hospitals,Proprietary
+21275,FLAGLER HOSPITAL,400 HEALTH PARK BLVD,SAINT AUGUSTINE,FL,32086,ST. JOHNS,(904) 819-4426,Acute Care Hospitals,Voluntary non-profit - Private
+17948,UNIVERSITY OF MD MEDICAL CENTER MIDTOWN CAMPUS,827 LINDEN AVENUE,BALTIMORE,MD,21201,BALTIMORE CITY,(410) 225-8996,Acute Care Hospitals,Voluntary non-profit - Other
+93346,MERCY MEDICAL CENTER,1320 MERCY DRIVE NW,CANTON,OH,44708,STARK,(330) 489-1080,Acute Care Hospitals,Voluntary non-profit - Private
+94574,ST ELIZABETH HOSPITAL,1450 BATTERSBY AVENUE,ENUMCLAW,WA,98022,KING,(360) 825-2505,Critical Access Hospitals,Voluntary non-profit - Church
+14820,HAVEN BEHAVIORAL HOSPITAL OF ALBUQUERQUE,"5400 GIBSON BOULEVARD SE, 4TH FLOOR BOX# 8",ALBUQUERQUE,NM,87108,BERNALILLO,(505) 254-4500,Psychiatric,Proprietary
+80280,LIFEBRITE COMMUNITY HOSPITAL OF EARLY,11740 COLUMBIA STREET,BLAKELY,GA,39823,EARLY,(229) 723-4241,Critical Access Hospitals,Voluntary non-profit - Private
+61701,MARINHEALTH MEDICAL CENTER,"250 BON AIR ROAD, PO BOX 8010",GREENBRAE,CA,94904,MARIN,(415) 925-7900,Acute Care Hospitals,Government - Local
+51616,AUSTIN LAKES HOSPITAL,1025 EAST 32ND STREET,AUSTIN,TX,78705,TRAVIS,(512) 544-5253,Psychiatric,Proprietary
+18716,UNIVERSITY MEDICAL CENTER OF EL PASO,4815 ALAMEDA AVE,EL PASO,TX,79905,EL PASO,(915) 521-7602,Acute Care Hospitals,Government - Hospital District or Authority
+87527,MIAMI VALLEY HOSPITAL,ONE WYOMING STREET,DAYTON,OH,45409,MONTGOMERY,(937) 208-3023,Acute Care Hospitals,Voluntary non-profit - Private
+13100,HANOVER HOSPITAL,205 S HANOVER STREET,HANOVER,KS,66945,WASHINGTON,(785) 337-2214,Critical Access Hospitals,Government - Hospital District or Authority
+56391,NEMAHA VALLEY COMMUNITY HOSPITAL,1600 COMMUNITY DR,SENECA,KS,66538,NEMAHA,(785) 336-6181,Critical Access Hospitals,Voluntary non-profit - Private
+59862,ST JOSEPHS HOSPITAL,2661 COUNTY HWY I,CHIPPEWA FALLS,WI,54729,CHIPPEWA,(715) 717-7200,Acute Care Hospitals,Voluntary non-profit - Church
+52750,NORTHWEST HOSPITAL CENTER,5401 OLD COURT ROAD,RANDALLSTOWN,MD,21133,BALTIMORE,(410) 521-2200,Acute Care Hospitals,Voluntary non-profit - Private
+54957,CUMBERLAND HOSPITAL LLC,9407 CUMBERLAND ROAD,NEW KENT,VA,23124,NEW KENT,(804) 966-2242,Childrens,Proprietary
+38500,OVERLAKE HOSPITAL MEDICAL CENTER,1035-116TH AVE NE,BELLEVUE,WA,98004,KING,(425) 688-5000,Acute Care Hospitals,Voluntary non-profit - Other
+51076,SPOONER HEALTH SYSTEM,1280 CHANDLER DR,SPOONER,WI,54801,WASHBURN,(715) 635-2111,Critical Access Hospitals,Voluntary non-profit - Private
+83969,LONG BEACH MEMORIAL MEDICAL CENTER,2801 ATLANTIC AVE,LONG BEACH,CA,90806,LOS ANGELES,(562) 933-2000,Acute Care Hospitals,Voluntary non-profit - Other
+11242,KAHUKU MEDICAL CENTER,56-117 PUALALEA STREET,KAHUKU,HI,96731,HONOLULU,(808) 293-9221,Critical Access Hospitals,Voluntary non-profit - Other
+37687,VETERANS MEMORIAL HOSPITAL,40 1ST STREET SE,WAUKON,IA,52172,ALLAMAKEE,(563) 568-3411,Critical Access Hospitals,Government - Local
+79518,ADVENTHEALTH MURRAY,"707 OLD DALTON ELLIJAY ROAD, PO BOX 1406",CHATSWORTH,GA,30705,MURRAY,(706) 517-2031,Acute Care Hospitals,Voluntary non-profit - Private
+22140,MUNSON MEDICAL CENTER,1105 SIXTH STREET,TRAVERSE CITY,MI,49684,GRAND TRAVERSE,(231) 935-5000,Acute Care Hospitals,Voluntary non-profit - Other
+61313,"COOLEY DICKINSON HOSPITAL INC,THE",30 LOCUST STREET,NORTHAMPTON,MA,1060,HAMPSHIRE,(413) 582-2000,Acute Care Hospitals,Voluntary non-profit - Private
+38217,ASCENSION SETON MEDICAL CENTER AUSTIN,1201 W 38TH ST,AUSTIN,TX,78705,TRAVIS,(512) 324-1000,Acute Care Hospitals,Physician
+13158,WEST OAKS HOSPITAL,6500 HORNWOOD,HOUSTON,TX,77074,HARRIS,(713) 995-0909,Psychiatric,Proprietary
+17858,HEART OF THE ROCKIES REGIONAL MEDICAL CENTER,1000 RUSH DR,SALIDA,CO,81201,CHAFFEE,(719) 530-2200,Critical Access Hospitals,Government - Hospital District or Authority
+61703,CAPE REGIONAL MEDICAL CENTER INC,TWO STONE HARBOR BLVD,CAPE MAY COURT HOUSE,NJ,8210,CAPE MAY,(609) 463-2000,Acute Care Hospitals,Voluntary non-profit - Private
+41380,ENGLEWOOD HOSPITAL AND MEDICAL CENTER,350 ENGLE ST,ENGLEWOOD,NJ,7631,BERGEN,(201) 894-3000,Acute Care Hospitals,Voluntary non-profit - Private
+32495,ST JOSEPH MERCY HOSPITAL,5301 E HURON RIVER DR,ANN ARBOR,MI,48106,WASHTENAW,(734) 712-3456,Acute Care Hospitals,Voluntary non-profit - Church
+12194,UPMC HAMOT,201 STATE STREET,ERIE,PA,16550,ERIE,(814) 877-6000,Acute Care Hospitals,Voluntary non-profit - Private
+72030,SANTA CRUZ COUNTY PSYCHIATRIC HEALTH FACILITY,"2250 SOQUEL AVENUE, SUITE 150",SANTA CRUZ,CA,95062,SANTA CRUZ,(831) 600-2801,Psychiatric,Proprietary
+57708,WAHIAWA GENERAL HOSPITAL,128 LEHUA STREET,WAHIAWA,HI,96786,HONOLULU,(808) 621-8411,Acute Care Hospitals,Voluntary non-profit - Private
+86818,CAMBRIDGE HEALTH ALLIANCE,1493 CAMBRIDGE STREET,CAMBRIDGE,MA,2138,MIDDLESEX,(617) 665-2300,Acute Care Hospitals,Government - Local
+12325,PARIS COMMUNITY HOSPITAL,721 E COURT STREET,PARIS,IL,61944,EDGAR,(217) 465-4141,Critical Access Hospitals,Voluntary non-profit - Private
+65627,PERHAM HEALTH,1000 CONEY STREET WEST,PERHAM,MN,56573,OTTER TAIL,(218) 347-1301,Critical Access Hospitals,Government - Hospital District or Authority
+90061,BEAUMONT HOSPITAL - FARMINGTON HILLS,28050 GRAND RIVER AVENUE,FARMINGTON HILLS,MI,48336,OAKLAND,(248) 471-8000,Acute Care Hospitals,Voluntary non-profit - Private
+47763,COVENANT MEDICAL CENTER,1447 N HARRISON,SAGINAW,MI,48602,SAGINAW,(989) 583-4000,Acute Care Hospitals,Voluntary non-profit - Private
+48764,LINDSAY MUNICIPAL HOSPITAL,1305 W CHEROKEE STREET - HIGHWAY 19 WEST,LINDSAY,OK,73052,GARVIN,(405) 756-1404,Acute Care Hospitals,Government - Hospital District or Authority
+39758,KAISER FOUNDATION HOSPITAL-SANTA ROSA,401 BICENTENNIAL WAY,SANTA ROSA,CA,95403,SONOMA,(707) 571-4000,Acute Care Hospitals,Voluntary non-profit - Private
+82982,FANNIN REGIONAL HOSPITAL,2855 OLD HIGHWAY 5 NORTH,BLUE RIDGE,GA,30513,FANNIN,(706) 632-3711,Acute Care Hospitals,Proprietary
+82701,BIGFORK VALLEY HOSPITAL,258 PINE TREE DRIVE PO BOX 258,BIGFORK,MN,56628,ITASCA,(218) 743-3177,Critical Access Hospitals,Government - Hospital District or Authority
+88452,HOSPITAL DR CAYETANO COLL Y TOSTE,CARRETERA 129 KM.1 AVENIDA SAN LUIS,ARECIBO,PR,613,ARECIBO,(787) 650-7272,Acute Care Hospitals,Proprietary
+62810,MUSCOGEE (CREEK) NATION MEDICAL CENTER,1401 MORRIS DRIVE,OKMULGEE,OK,74447,OKMULGEE,(918) 756-4233,Acute Care Hospitals,Tribal
+31610,GOOD SAMARITAN REGIONAL HLTH CENTER,1 GOOD SAMARITAN WAY,MOUNT VERNON,IL,62864,JEFFERSON,(618) 899-1469,Acute Care Hospitals,Voluntary non-profit - Private
+38116,MADISON MEDICAL CENTER,611 W MAIN ST,FREDERICKTOWN,MO,63645,MADISON,(573) 781-3341,Critical Access Hospitals,Voluntary non-profit - Other
+41364,LAKES REGIONAL HEALTHCARE,2301 HIGHWAY 71,SPIRIT LAKE,IA,51360,DICKINSON,(712) 336-1230,Acute Care Hospitals,Voluntary non-profit - Other
+48356,UT HEALTH EAST TEXAS JACKSONVILLE HOSPITAL,501 S RAGSDALE,JACKSONVILLE,TX,75766,CHEROKEE,(903) 541-5000,Acute Care Hospitals,Voluntary non-profit - Private
+77562,"GENESIS MEDICAL CENTER, ALEDO",409 NW 9TH AVENUE,ALEDO,IL,61231,MERCER,(309) 582-9100,Critical Access Hospitals,Voluntary non-profit - Private
+38289,CLEVELAND CLINIC CHILDREN'S HOSPITAL FOR REHAB,"2801 MARTIN LUTHER KING, JR DRIVE",CLEVELAND,OH,44104,CUYAHOGA,(216) 721-6400,Childrens,Voluntary non-profit - Private
+60557,BIG SPRING STATE HOSPITAL,1901 NORTH HIGHWAY 87,BIG SPRING,TX,79721,HOWARD,(432) 268-7222,Psychiatric,Government - State
+10043,BETH ISRAEL DEACONESS HOSPITAL - PLYMOUTH,275 SANDWICH STREET,PLYMOUTH,MA,2360,PLYMOUTH,(508) 746-2000,Acute Care Hospitals,Voluntary non-profit - Private
+12757,FOSTORIA COMMUNITY HOSPITAL,501 VAN BUREN STREET,FOSTORIA,OH,44830,SENECA,(419) 435-7734,Critical Access Hospitals,Voluntary non-profit - Private
+81660,BEACON BEHAVIORAL HOSPITAL - CENTRAL,323 EVERGREEN STREET,BUNKIE,LA,71322,AVOYELLES,(318) 346-3143,Psychiatric,Proprietary
+55417,ST MARY MEDICAL CENTER,3333 NORTH SEMINARY,GALESBURG,IL,61401,KNOX,(309) 344-3161,Acute Care Hospitals,Voluntary non-profit - Church
+75743,LIFECARE BEHAVIORAL HEALTH HOSPITAL,225 PENN AVENUE 2ND FLOOR,PITTSBURGH,PA,15221,ALLEGHENY,(412) 247-2000,Psychiatric,Proprietary
+47304,UCHEALTH YAMPA VALLEY MEDICAL CENTER,1024 CENTRAL PARK DR,STEAMBOAT SPRINGS,CO,80487,ROUTT,(970) 879-1322,Acute Care Hospitals,Voluntary non-profit - Private
+64802,BEVERLY HOSPITAL,309 W BEVERLY BLVD,MONTEBELLO,CA,90640,LOS ANGELES,(323) 726-1222,Acute Care Hospitals,Voluntary non-profit - Private
+88221,LOWER BUCKS HOSPITAL,501 BATH ROAD,BRISTOL,PA,19007,BUCKS,(215) 785-9200,Acute Care Hospitals,Proprietary
+86495,CHILTON MEDICAL CENTER,97 WEST PARKWAY,POMPTON PLAINS,NJ,7444,MORRIS,(973) 831-5000,Acute Care Hospitals,Voluntary non-profit - Private
+67138,ATRIUM HEALTH LINCOLN,433 MCALISTER RD,LINCOLNTON,NC,28092,LINCOLN,(980) 212-2000,Acute Care Hospitals,Government - Hospital District or Authority
+41156,NEWTON MEDICAL CENTER,600 MEDICAL CENTER DRIVE,NEWTON,KS,67114,HARVEY,(316) 283-2700,Acute Care Hospitals,Voluntary non-profit - Private
+89110,BAPTIST HEALTH LEXINGTON,1740 NICHOLASVILLE ROAD,LEXINGTON,KY,40503,FAYETTE,(859) 260-6104,Acute Care Hospitals,Voluntary non-profit - Other
+80429,HALIFAX HEALTH MEDICAL CENTER,303 N CLYDE MORRIS BLVD,DAYTONA BEACH,FL,32114,VOLUSIA,(386) 254-4000,Acute Care Hospitals,Government - Hospital District or Authority
+20215,CALIFORNIA PACIFIC MEDICAL CENTER- VAN NESS CAMPUS,1101 VAN NESS AVENUE,SAN FRANCISCO,CA,94109,SAN FRANCISCO,(415) 600-6000,Acute Care Hospitals,Voluntary non-profit - Private
+21829,CRANE COUNTY HOSPITAL DISTRICT,1310 S ALFORD ST,CRANE,TX,79731,CRANE,(432) 558-3555,Critical Access Hospitals,Government - Hospital District or Authority
+50029,SCOTT MEMORIAL HEALTH,1451 N GARDNER ST,SCOTTSBURG,IN,47170,SCOTT,(812) 752-3456,Critical Access Hospitals,Proprietary
+66581,FIRST TEXAS HOSPITAL,9922 LOUETTA RD,HOUSTON,TX,77070,HARRIS,(844) 264-1435,Acute Care Hospitals,Proprietary
+22852,"WEATHERFORD REGIONAL HOSPITAL, INC OF WEATHERFORD",3701 E MAIN,WEATHERFORD,OK,73096,CUSTER,(580) 772-5551,Critical Access Hospitals,Government - Hospital District or Authority
+57218,WEST BOCA MEDICAL CENTER,21644 STATE RD 7,BOCA RATON,FL,33428,PALM BEACH,(561) 488-8100,Acute Care Hospitals,Proprietary
+25293,CLINTON MEMORIAL HOSPITAL,610 WEST MAIN STREET,WILMINGTON,OH,45177,CLINTON,(937) 382-6611,Acute Care Hospitals,Government - Local
+17089,CARROLL COUNTY MEMORIAL HOSPITAL,1502 NORTH JEFFERSON,CARROLLTON,MO,64633,CARROLL,(660) 542-1695,Critical Access Hospitals,Voluntary non-profit - Private
+31017,J ARTHUR DOSHER MEMORIAL HOSPITAL,924 HOWE ST,SOUTHPORT,NC,28461,BRUNSWICK,(910) 457-3800,Critical Access Hospitals,Voluntary non-profit - Other
+84772,MADISON COUNTY MEMORIAL HOSPITAL,224 NW CRANE AVE,MADISON,FL,32340,MADISON,(850) 973-2271,Critical Access Hospitals,Government - Hospital District or Authority
+43043,SURGICAL INSTITUTE OF READING,2752 CENTURY BOULEVARD,WYOMISSING,PA,19610,BERKS,(717) 999-9999,Acute Care Hospitals,Proprietary
+64711,MAURY REGIONAL HOSPITAL,1224 TROTWOOD AVE,COLUMBIA,TN,38401,MAURY,(931) 381-1111,Acute Care Hospitals,Government - Local
+75631,SETON MEDICAL CENTER WILLIAMSON,201 SETON PARKWAY,ROUND ROCK,TX,78664,WILLIAMSON,(512) 324-0000,Acute Care Hospitals,Voluntary non-profit - Private
+56514,ST FRANCIS HOSPITAL,333 LAIDLEY ST,CHARLESTON,WV,25301,KANAWHA,(304) 347-6500,Acute Care Hospitals,Proprietary
+86770,WERNERSVILLE STATE HOSPITAL,160 MAIN STREET,WERNERSVILLE,PA,19565,BERKS,(610) 670-4100,Psychiatric,Government - State
+55296,JEFFERSON DAVIS COMMUNITY HOSPITAL CAH,1102 ROSE STREET,PRENTISS,MS,39474,JEFFERSON DAVIS,(601) 792-4276,Critical Access Hospitals,Government - Local
+25939,DELTA MEMORIAL HOSPITAL,811 HIGHWAY 65 SOUTH,DUMAS,AR,71639,DESHA,(870) 382-4303,Critical Access Hospitals,Voluntary non-profit - Private
+27762,MENA REGIONAL HEALTH SYSTEM,311 NORTH MORROW STREET,MENA,AR,71953,POLK,(479) 394-6100,Acute Care Hospitals,Government - Local
+48043,BURKE MEDICAL CENTER,351 SOUTH LIBERTY STREET,WAYNESBORO,GA,30830,BURKE,(706) 554-4435,Acute Care Hospitals,Proprietary
+12091,ILLINI COMMUNITY HOSPITAL,640 W WASHINGTON,PITTSFIELD,IL,62363,PIKE,(217) 285-2113,Critical Access Hospitals,Voluntary non-profit - Private
+68752,"SAINT FRANCIS HOSPITAL, INC",6161 SOUTH YALE,TULSA,OK,74136,TULSA,(918) 494-2200,Acute Care Hospitals,Voluntary non-profit - Private
+17979,ALBERT EINSTEIN MEDICAL CENTER,5501 OLD YORK ROAD,PHILADELPHIA,PA,19141,PHILADELPHIA,(215) 456-6090,Acute Care Hospitals,Voluntary non-profit - Other
+30131,LAKEVIEW HOSPITAL,630 EAST MEDICAL DRIVE,BOUNTIFUL,UT,84010,DAVIS,(801) 299-2200,Acute Care Hospitals,Voluntary non-profit - Other
+51147,CRESCENT MEDICAL CENTER LANCASTER,2600 WEST PLEASANT RUN ROAD,LANCASTER,TX,75146,DALLAS,(972) 230-8888,Acute Care Hospitals,Physician
+16064,CENTRO CARDIOVASCULAR,"AVENIDA AMERICO MIRANDA, ENTRADA PRINCIPAL CM",RIO PIEDRAS,PR,936,SAN JUAN,(787) 754-8500,Acute Care Hospitals,Government - State
+56988,PRESENCE SAINT JOSEPH HOSPITAL - ELGIN,77 N AIRLITE STREET,ELGIN,IL,60123,KANE,(847) 695-3200,Acute Care Hospitals,Voluntary non-profit - Church
+51565,HEYWOOD HOSPITAL -,242 GREEN STREET,GARDNER,MA,1440,WORCESTER,(978) 632-3420,Acute Care Hospitals,Voluntary non-profit - Private
+35251,INGALLS MEMORIAL HOSPITAL,1 INGALLS DRIVE,HARVEY,IL,60426,COOK,(708) 333-2300,Acute Care Hospitals,Voluntary non-profit - Private
+73537,THE MEDICAL CENTER AT CAVERNA,1501 SOUTH DIXIE STREET,HORSE CAVE,KY,42749,HART,(270) 786-2191,Critical Access Hospitals,Voluntary non-profit - Private
+75372,TOMAH MEMORIAL HOSPITAL,501 GOPHER DR,TOMAH,WI,54660,MONROE,(608) 372-2181,Critical Access Hospitals,Voluntary non-profit - Private
+44730,PREMIER SURGICAL INSTITUTE,1619 K 66,GALENA,KS,66739,CHEROKEE,(620) 783-1732,Acute Care Hospitals,Government - Local
+21672,KAISER FOUNDATION HOSPITAL - WEST LA,6041 CADILLAC AVE,LOS ANGELES,CA,90034,LOS ANGELES,(213) 857-2201,Acute Care Hospitals,Voluntary non-profit - Private
+31378,EASTERN NEW MEXICO MEDICAL CENTER,405 W COUNTRY CLUB ROAD,ROSWELL,NM,88201,CHAVES,(575) 624-8722,Acute Care Hospitals,Proprietary
+50031,ESSENTIA HEALTH FARGO,3000 32ND AVE SOUTH,FARGO,ND,58104,CASS,(701) 364-8000,Acute Care Hospitals,Voluntary non-profit - Private
+83040,GENERATIONS BEHAVIORAL HEALTH-YOUNGSTOWN LLC,196 COLONIAL DRIVE,YOUNGSTOWN,OH,44504,MAHONING,(234) 232-7500,Psychiatric,Proprietary
+81764,MERIDIAN SERVICES CORP,2401 W UNIVERSITY AVE,MUNCIE,IN,47303,DELAWARE,(765) 751-5377,Psychiatric,Voluntary non-profit - Private
+81698,RANGELY DISTRICT HOSPITAL,225 EAGLE CREST ST,RANGELY,CO,81648,RIO BLANCO,(970) 675-5011,Critical Access Hospitals,Government - Hospital District or Authority
+32793,MIDMICHIGAN MEDICAL CENTER - ALPENA,1501 W CHISHOLM ST,ALPENA,MI,49707,ALPENA,(989) 356-7390,Acute Care Hospitals,Proprietary
+82179,MERCY HEALTH LOVE COUNTY,300 WANDA STREET,MARIETTA,OK,73448,LOVE,(580) 276-3347,Critical Access Hospitals,Government - Local
+62340,SHERMAN OAKS HOSPITAL,4929 VAN NUYS BLVD,SHERMAN OAKS,CA,91403,LOS ANGELES,(818) 981-7111,Acute Care Hospitals,Voluntary non-profit - Private
+50596,CENTURA HEALTH-ST ANTHONY HOSPITAL,11600 WEST 2ND PLC,LAKEWOOD,CO,80228,JEFFERSON,(720) 321-0000,Acute Care Hospitals,Voluntary non-profit - Church
+72586,EMORY UNIVERSITY HOSPITAL MIDTOWN,"550 PEACHTREE STREET,  NE",ATLANTA,GA,30308,FULTON,(404) 686-4411,Acute Care Hospitals,Voluntary non-profit - Private
+64741,RAINY LAKE MEDICAL CENTER,1400 HIGHWAY 71,INTERNATIONAL FALLS,MN,56649,KOOCHICHING,(218) 283-4481,Critical Access Hospitals,Voluntary non-profit - Private
+65066,ST LUKE'S QUAKERTOWN HOSPITAL,1021 PARK AVENUE,QUAKERTOWN,PA,18951,BUCKS,(215) 538-4500,Acute Care Hospitals,Voluntary non-profit - Private
+52391,MERCY HOSPITAL TISHOMINGO,1000 SOUTH BYRD,TISHOMINGO,OK,73460,JOHNSTON,(580) 371-2327,Critical Access Hospitals,Voluntary non-profit - Church
+93090,INSTITUTE FOR ORTHOPAEDIC SURGERY,"801 MEDICAL DRIVE, SUITE B",LIMA,OH,45804,ALLEN,(419) 224-7586,Acute Care Hospitals,Proprietary
+80366,NORTH CANYON MEDICAL CENTER,267 NORTH CANYON DR,GOODING,ID,83330,GOODING,(208) 934-4433,Critical Access Hospitals,Voluntary non-profit - Private
+57870,ST VINCENT RANDOLPH HOSPITAL INC,473 E GREENVILLE AVE,WINCHESTER,IN,47394,RANDOLPH,(765) 584-0004,Critical Access Hospitals,Voluntary non-profit - Private
+13337,CHRISTUS HEALTH SHREVEPORT - BOSSIER,1453 E BERT KOUNS INDUSTRIAL DRIVE,SHREVEPORT,LA,71105,CADDO,(318) 681-5000,Acute Care Hospitals,Voluntary non-profit - Private
+35651,ISLAND HOSPITAL,1211  24TH STREET,ANACORTES,WA,98221,SKAGIT,(360) 299-1300,Acute Care Hospitals,Government - Hospital District or Authority
+61848,ASANTE THREE RIVERS MEDICAL CENTER,500 SW RAMSEY AVENUE,GRANTS PASS,OR,97527,JOSEPHINE,(541) 472-7000,Acute Care Hospitals,Voluntary non-profit - Other
+51373,ST ANTHONYS HOSPITAL,1200 SEVENTH AVE N,SAINT PETERSBURG,FL,33705,PINELLAS,(727) 825-1100,Acute Care Hospitals,Voluntary non-profit - Church
+62927,MERCY MEDICAL CENTER INC,301 SAINT PAUL PLACE,BALTIMORE,MD,21202,BALTIMORE CITY,(410) 332-9237,Acute Care Hospitals,Voluntary non-profit - Church
+67995,LIBERTY MEDICAL CENTER,315 W MADISON AVE,CHESTER,MT,59522,LIBERTY,(406) 759-5181,Critical Access Hospitals,Voluntary non-profit - Private
+91711,SGMC BERRIEN CAMPUS,1221 E MCPHERSON AVENUE,NASHVILLE,GA,31639,BERRIEN,(229) 543-7100,Acute Care Hospitals,Government - Hospital District or Authority
+40497,ST JOSEPH HOSPITAL,360 BROADWAY,BANGOR,ME,4401,PENOBSCOT,(207) 262-1000,Acute Care Hospitals,Voluntary non-profit - Church
+77652,JACOBSON MEMORIAL HOSPITAL CARE CENTER,601 EAST ST N,ELGIN,ND,58533,GRANT,(701) 584-2792,Critical Access Hospitals,Voluntary non-profit - Private
+68956,INLAND NORTHWEST BEHAVIORAL HEALTH,104 W 5TH AVE,SPOKANE,WA,99204,SPOKANE,(425) 821-2000,Psychiatric,Proprietary
+61117,ASCENSION ALL SAINTS HOSPITAL,3801 SPRING ST,RACINE,WI,53405,RACINE,(262) 687-4011,Acute Care Hospitals,Voluntary non-profit - Church
+37606,UPLAND HILLS HEALTH,800 COMPASSION WAY,DODGEVILLE,WI,53533,IOWA,(608) 930-8000,Critical Access Hospitals,Voluntary non-profit - Private
+40798,KANSAS CITY ORTHOPAEDIC INSTITUTE,3651 COLLEGE BLVD,LEAWOOD,KS,66211,JOHNSON,(913) 319-7633,Acute Care Hospitals,Physician
+29968,APPLETON MUNICIPAL HOSPITAL,30 SOUTH BEHL STREET,APPLETON,MN,56208,SWIFT,(320) 289-8508,Critical Access Hospitals,Government - Local
+94887,NEW YORK-PRESBYTERIAN BROOKLYN METHODIST HOSPITAL,506 SIXTH STREET,BROOKLYN,NY,11215,KINGS,(718) 780-3000,Acute Care Hospitals,Voluntary non-profit - Private
+81716,OCEANS BEHAVIORAL HOSPITAL OF KENTWOOD,921 AVENUE G,KENTWOOD,LA,70444,TANGIPAHOA,(985) 229-0717,Psychiatric,Proprietary
+45160,DUKE REGIONAL HOSPITAL,3643 N ROXBORO STREET,DURHAM,NC,27704,DURHAM,(919) 470-4000,Acute Care Hospitals,Government - Local
+89807,PROCTOR HOSPITAL,5409 N KNOXVILLE AVE,PEORIA,IL,61614,PEORIA,(309) 691-1000,Acute Care Hospitals,Voluntary non-profit - Private
+78872,MEMORIAL HOSPITAL,511 NE 10TH ST,ABILENE,KS,67410,DICKINSON,(785) 263-6610,Critical Access Hospitals,Government - Hospital District or Authority
+14066,"MONTGOMERY GENERAL HOSPITAL, INC",401 SIXTH AVENUE,MONTGOMERY,WV,25136,FAYETTE,(304) 442-5151,Critical Access Hospitals,Voluntary non-profit - Private
+55601,BONNER GENERAL HOSPITAL,520 NORTH THIRD AVENUE,SANDPOINT,ID,83864,BONNER,(208) 263-1441,Critical Access Hospitals,Voluntary non-profit - Private
+54408,CARLSBAD MEDICAL CENTER,2430 WEST PIERCE STREET,CARLSBAD,NM,88220,EDDY,(575) 887-4570,Acute Care Hospitals,Proprietary
+88593,DOUGLAS COUNTY HEALTH CENTER,4102 WOOLWORTH AVE,OMAHA,NE,68105,DOUGLAS,(402) 444-7676,Psychiatric,Government - Local
+88367,SEVEN HILLS BEHAVIORAL INSTITUTE,3021 W HORIZON RIDGE PKWY,HENDERSON,NV,89052,CLARK,(702) 646-5000,Psychiatric,Proprietary
+79108,BAKERSFIELD MEMORIAL HOSPITAL,420 34TH ST,BAKERSFIELD,CA,93301,KERN,(661) 327-1792,Acute Care Hospitals,Voluntary non-profit - Private
+19559,MUNSON HEALTHCARE MANISTEE HOSPITAL,1465 E PARKDALE AVE,MANISTEE,MI,49660,MANISTEE,(231) 398-1000,Acute Care Hospitals,Voluntary non-profit - Other
+62994,BHC ALHAMBRA HOSP,4619 N ROSEMEAD BLVD,ROSEMEAD,CA,91770,LOS ANGELES,(626) 286-1191,Psychiatric,Proprietary
+18807,FORT WALTON BEACH MEDICAL CENTER,1000 MAR-WALT DR,FORT WALTON BEACH,FL,32547,OKALOOSA,(850) 862-1111,Acute Care Hospitals,Proprietary
+32021,WYOMING STATE HOSPITAL,831 HWY 150 SOUTH,EVANSTON,WY,82931,UINTA,(307) 789-3464,Psychiatric,Government - State
+82811,HASKELL MEMORIAL HOSPITAL,1 NORTH AVENUE N  PO BOX 1117,HASKELL,TX,79521,HASKELL,(940) 864-2621,Critical Access Hospitals,Government - Hospital District or Authority
+48305,BOZEMAN HEALTH DEACONESS HOSPITAL,915 HIGHLAND BLVD,BOZEMAN,MT,59715,GALLATIN,(406) 585-5000,Acute Care Hospitals,Voluntary non-profit - Private
+41954,NORWOOD HEALTH CENTER,1600 N CHESTNUT AVE,MARSHFIELD,WI,54449,WOOD,(715) 384-2188,Psychiatric,Government - Local
+92626,INDIANA UNIVERSITY HEALTH ARNETT HOSPITAL,5165 MCCARTY LN,LAFAYETTE,IN,47905,TIPPECANOE,(765) 448-8000,Acute Care Hospitals,Voluntary non-profit - Private
+15628,STAFFORD COUNTY HOSPITAL,502 S BUCKEYE,STAFFORD,KS,67578,STAFFORD,(620) 234-5221,Critical Access Hospitals,Government - Local
+19690,SHRINERS HOSPITALS FOR CHILDREN-TAMPA,12502 USF PINE DR,TAMPA,FL,33612,HILLSBOROUGH,(813) 972-2250,Childrens,Voluntary non-profit - Other
+29301,WESTERN STATE HOSPITAL,2400 RUSSELLVILLE ROAD,HOPKINSVILLE,KY,42240,CHRISTIAN,(270) 889-6025,Psychiatric,Government - Local
+45266,MATAGORDA REGIONAL MEDICAL CENTER,104 7TH STREET,BAY CITY,TX,77414,MATAGORDA,(979) 245-6383,Acute Care Hospitals,Government - Hospital District or Authority
+19728,COX MEDICAL CENTERS,3801 SOUTH NATIONAL AVENUE,SPRINGFIELD,MO,65807,GREENE,(417) 269-6000,Acute Care Hospitals,Voluntary non-profit - Private
+36681,DAYTON GENERAL HOSPITAL,1012 SOUTH 3RD STREET,DAYTON,WA,99328,COLUMBIA,(509) 382-2531,Critical Access Hospitals,Government - Hospital District or Authority
+69593,ASTRIA TOPPENISH HOSPITAL,502 W FOURTH AVE,TOPPENISH,WA,98948,YAKIMA,(509) 865-1520,Acute Care Hospitals,Voluntary non-profit - Private
+39268,CLARA BARTON HOSPITAL,250 W 9TH STREET,HOISINGTON,KS,67544,BARTON,(620) 653-2114,Critical Access Hospitals,Voluntary non-profit - Private
+17980,BANNER BAYWOOD MEDICAL CENTER,6644 EAST BAYWOOD AVENUE,MESA,AZ,85206,MARICOPA,(480) 321-2000,Acute Care Hospitals,Voluntary non-profit - Private
+60088,MOUNTAINS COMMUNITY HOSPITAL,29101 HOSPITAL ROAD,LAKE ARROWHEAD,CA,92352,SAN BERNARDINO,(909) 336-3651,Critical Access Hospitals,Government - Hospital District or Authority
+91761,SACRED HEART MEDICAL CENTER - RIVERBEND,3333 RIVERBEND DRIVE,SPRINGFIELD,OR,97477,LANE,(541) 222-7300,Acute Care Hospitals,Voluntary non-profit - Private
+25626,WEBSTER COUNTY COMMUNITY HOSPITAL,"P O BOX 465, 621 N FRANKLIN ST",RED CLOUD,NE,68970,WEBSTER,(402) 746-5600,Critical Access Hospitals,Government - Local
+26071,BENNETT COUNTY HOSPITAL AND NURSING HOME - CAH,102 MAJOR ALLEN   POST OFFICE BOX 70D,MARTIN,SD,57551,BENNETT,(605) 685-6622,Critical Access Hospitals,Voluntary non-profit - Other
+29884,COMMUNITY HOSPITAL OF ANACONDA,401 W PENNSYLVANIA,ANACONDA,MT,59711,DEER LODGE,(406) 563-8500,Critical Access Hospitals,Voluntary non-profit - Private
+16885,MEMORIAL MEDICAL CENTER,701 N FIRST ST,SPRINGFIELD,IL,62702,SANGAMON,(217) 788-3000,Acute Care Hospitals,Voluntary non-profit - Private
+21958,HOSPITAL MENONITA CAGUAS INC,CARR 172  EXIT 21 URB TURABO GARDENS,CAGUAS,PR,725,CAGUAS,(787) 744-3141,Acute Care Hospitals,Voluntary non-profit - Private
+13397,MCLAREN MACOMB,1000 HARRINGTON ST,MOUNT CLEMENS,MI,48043,MACOMB,(586) 493-8000,Acute Care Hospitals,Voluntary non-profit - Private
+31869,LOYOLA UNIVERSITY MEDICAL CENTER,2160 S 1ST AVENUE,MAYWOOD,IL,60153,COOK,(708) 216-9000,Acute Care Hospitals,Voluntary non-profit - Private
+87223,WILLIAM BEE RIRIE HOSPITAL,1500 AVENUE H,ELY,NV,89301,WHITE PINE,(775) 289-3001,Critical Access Hospitals,Government - Hospital District or Authority
+11018,PERRY HOSPITAL,1120 MORNINGSIDE DR,PERRY,GA,31069,HOUSTON,(478) 987-3600,Acute Care Hospitals,Voluntary non-profit - Private
+47991,SAN ANGELO COMMUNITY MEDICAL CENTER,3501 KNICKERBOCKER ROAD,SAN ANGELO,TX,76904,TOM GREEN,(325) 949-9511,Acute Care Hospitals,Proprietary
+33457,WEBSTER GENERAL HOSPITAL/ SWING BED,70 MEDICAL PLAZA,EUPORA,MS,39744,WEBSTER,(662) 258-6221,Acute Care Hospitals,Voluntary non-profit - Other
+46905,JOHNSTON HEALTH,509 BRIGHT LEAF BLVD,SMITHFIELD,NC,27577,JOHNSTON,(919) 934-8171,Acute Care Hospitals,Government - Hospital District or Authority
+17927,"NORTHEAST GEORGIA MEDICAL CENTER, INC",743 SPRING STREET,GAINESVILLE,GA,30501,HALL,(770) 535-3553,Acute Care Hospitals,Government - Local
+36232,FAIRVIEW PARK HOSPITAL,200 INDUSTRIAL BOULEVARD,DUBLIN,GA,31021,LAURENS,(478) 274-3100,Acute Care Hospitals,Proprietary
+59813,SSM HEALTH DEPAUL HOSPITAL ST LOUIS,12303 DEPAUL DRIVE,BRIDGETON,MO,63044,ST. LOUIS,(314) 344-6000,Acute Care Hospitals,Voluntary non-profit - Private
+11143,WEST CALCASIEU CAMERON HOSPITAL,701 EAST CYPRESS STREET,SULPHUR,LA,70663,CALCASIEU,(337) 527-7034,Acute Care Hospitals,Government - Hospital District or Authority
+19783,KOOTENAI HEALTH,2003 KOOTENAI HEALTH WAY,COEUR D'ALENE,ID,83814,KOOTENAI,(208) 625-4000,Acute Care Hospitals,Government - Hospital District or Authority
+28197,SAMARITAN HOSPITAL,2215 BURDETT AVENUE,TROY,NY,12180,RENSSELAER,(518) 427-3402,Acute Care Hospitals,Voluntary non-profit - Private
+77962,SALT LAKE REGIONAL MEDICAL CENTER,1050 EAST SOUTH TEMPLE,SALT LAKE CITY,UT,84102,SALT LAKE,(801) 350-4111,Acute Care Hospitals,Proprietary
+17413,BARNES-KASSON COUNTY HOSPITAL,2872 TURNPIKE STREET,SUSQUEHANNA,PA,18847,SUSQUEHANNA,(570) 853-3135,Critical Access Hospitals,Voluntary non-profit - Private
+14801,MEDICAL CITY PLANO,3901 W 15TH ST,PLANO,TX,75075,COLLIN,(972) 596-6800,Acute Care Hospitals,Proprietary
+36740,LARNED STATE HOSPITAL,1301 KS HIGHWAY 264,LARNED,KS,67550,PAWNEE,(620) 285-4360,Psychiatric,Government - State
+40433,NORTH TEXAS MEDICAL CENTER,1900 HOSPITAL BLVD,GAINESVILLE,TX,76240,COOKE,(940) 612-8600,Acute Care Hospitals,Government - Hospital District or Authority
+78547,GOOD SAMARITAN MEDICAL CENTER,200 EXEMPLA CIRCLE,LAFAYETTE,CO,80026,BOULDER,(303) 689-4000,Acute Care Hospitals,Voluntary non-profit - Private
+63968,WESTCHESTER GENERAL HOSPITAL,2500 SW 75TH AVE,MIAMI,FL,33155,MIAMI-DADE,(305) 263-9270,Acute Care Hospitals,Proprietary
+23322,ALAMEDA HOSPITAL,2070 CLINTON AVENUE,ALAMEDA,CA,94501,ALAMEDA,(510) 522-3700,Acute Care Hospitals,Government - Hospital District or Authority
+30328,KIMBLE HOSPITAL,349 REID ROAD,JUNCTION,TX,76849,KIMBLE,(325) 446-3321,Critical Access Hospitals,Government - Hospital District or Authority
+92800,NEVADA REGIONAL MEDICAL CENTER,800 S ASH ST,NEVADA,MO,64772,VERNON,(417) 667-3355,Acute Care Hospitals,Government - Local
+22838,SAINT JOSEPH REGIONAL MEDICAL CENTER - PLYMOUTH,1915 LAKE AVE,PLYMOUTH,IN,46563,MARSHALL,(574) 948-4000,Acute Care Hospitals,Voluntary non-profit - Church
+29516,HELEN KELLER MEMORIAL HOSPITAL,1300 SOUTH MONTGOMERY AVENUE,SHEFFIELD,AL,35660,COLBERT,(256) 386-4556,Acute Care Hospitals,Government - Hospital District or Authority
+48950,BLOOMINGTON MEADOWS HOSPITAL,3600 N PROW RD,BLOOMINGTON,IN,47404,MONROE,(812) 331-8000,Psychiatric,Proprietary
+46258,SSM HEALTH ST. MARY'S HOSPITAL-AUDRAIN,620 E MONROE,MEXICO,MO,65265,AUDRAIN,(573) 582-5000,Acute Care Hospitals,Voluntary non-profit - Private
+54329,SHANNON MEDICAL CENTER,120 EAST HARRIS AVENUE,SAN ANGELO,TX,76903,TOM GREEN,(325) 653-6741,Acute Care Hospitals,Voluntary non-profit - Private
+33716,MEMORIAL HOSPITAL,1900 STATE ST,CHESTER,IL,62233,RANDOLPH,(618) 826-4581,Critical Access Hospitals,Government - Hospital District or Authority
+65293,COCHRAN MEMORIAL HOSPITAL,205 E GRANT STREET,MORTON,TX,79346,COCHRAN,(806) 266-5565,Critical Access Hospitals,Government - Hospital District or Authority
+67617,NORTHWESTERN MEDICAL CENTER INC,133 FAIRFIELD STREET,SAINT ALBANS,VT,5478,FRANKLIN,(802) 524-5911,Acute Care Hospitals,Voluntary non-profit - Other
+89700,PIEDMONT ROCKDALE HOSPITAL,"1412 MILSTEAD AVENUE, NE",CONYERS,GA,30012,ROCKDALE,(770) 918-3000,Acute Care Hospitals,Proprietary
+88328,HOPI HEALTH CARE CENTER,"HIGHWAY 264, MILEPOST 388",POLACCA,AZ,86042,NAVAJO,(928) 737-6000,Critical Access Hospitals,Tribal
+84155,ST ELIZABETH MEDICAL CENTER,1200 GRANT BLVD W,WABASHA,MN,55981,WABASHA,(651) 565-4531,Critical Access Hospitals,Proprietary
+61224,ALTA VISTA REGIONAL HOSPITAL,104 LEGION DRIVE,LAS VEGAS,NM,87701,SAN MIGUEL,(505) 426-3930,Acute Care Hospitals,Government - Hospital District or Authority
+58859,SAME DAY SURGERY CENTER LLC,651 CATHEDRAL DRIVE,RAPID CITY,SD,57701,PENNINGTON,(605) 755-9900,Acute Care Hospitals,Proprietary
+16678,HUMBOLDT COUNTY MEMORIAL HOSPITAL,1000 NORTH 15TH STREET,HUMBOLDT,IA,50548,HUMBOLDT,(515) 332-4200,Critical Access Hospitals,Voluntary non-profit - Other
+82872,NORMAN REGIONAL,901 N PORTER,NORMAN,OK,73070,CLEVELAND,(405) 307-1050,Acute Care Hospitals,Government - Hospital District or Authority
+53768,COMMUNITY HOSPITAL OF BREMEN INC,1020 HIGH RD,BREMEN,IN,46506,MARSHALL,(574) 546-2211,Critical Access Hospitals,Voluntary non-profit - Private
+12613,CALHOUN-LIBERTY HOSPITAL,20370 NE BURNS AVE,BLOUNTSTOWN,FL,32424,CALHOUN,(850) 674-3493,Critical Access Hospitals,Voluntary non-profit - Private
+24575,THE JEWISH HOSPITAL-MERCY HEALTH,4777 EAST GALBRAITH ROAD,CINCINNATI,OH,45236,HAMILTON,(513) 686-4127,Acute Care Hospitals,Voluntary non-profit - Private
+54498,CONEMAUGH MINERS MEDICAL CENTER,290 HAIDA AVENUE,HASTINGS,PA,16646,CAMBRIA,(814) 247-3100,Acute Care Hospitals,Proprietary
+36288,SAN JOAQUIN GENERAL HOSPITAL,500 W HOSPITAL ROAD,FRENCH CAMP,CA,95231,SAN JOAQUIN,(209) 468-6000,Acute Care Hospitals,Government - Local
+41024,MURRAY-CALLOWAY COUNTY HOSPITAL,803 POPLAR STREET,MURRAY,KY,42071,CALLOWAY,(270) 762-1100,Acute Care Hospitals,Voluntary non-profit - Other
+36768,VIDANT ROANOKE CHOWAN HOSPITAL,500 S ACADEMY ST,AHOSKIE,NC,27910,HERTFORD,(252) 209-3000,Acute Care Hospitals,Voluntary non-profit - Private
+21904,CHRISTIAN HOSPITAL NORTHEAST-NORTHWEST,11133 DUNN ROAD,SAINT LOUIS,MO,63136,ST. LOUIS,(314) 653-5000,Acute Care Hospitals,Voluntary non-profit - Private
+33180,S E LACKEY MEMORIAL HOSPITAL,330 N BROAD STREET,FOREST,MS,39074,SCOTT,(601) 469-4151,Critical Access Hospitals,Voluntary non-profit - Private
+91118,PRINCETON BAPTIST MEDICAL CENTER,701 PRINCETON AVENUE SOUTHWEST,BIRMINGHAM,AL,35211,JEFFERSON,(205) 783-3800,Acute Care Hospitals,Voluntary non-profit - Church
+24395,PIEDMONT MOUNTAINSIDE HOSPITAL INC,1266 HIGHWAY 515 SOUTH,JASPER,GA,30143,PICKENS,(706) 301-5269,Acute Care Hospitals,Voluntary non-profit - Other
+28784,LIBERTY HOSPITAL,2525 GLENN HENDREN DR,LIBERTY,MO,64069,CLAY,(816) 781-7200,Acute Care Hospitals,Government - Hospital District or Authority
+71085,"STAFFORD HOSPITAL, LLC",101 HOSPITAL CENTER BOULEVARD,STAFFORD,VA,22554,STAFFORD,(540) 741-9000,Acute Care Hospitals,Voluntary non-profit - Private
+52986,SANFORD SHELDON MEDICAL CENTER,118 NORTH 7TH AVENUE,SHELDON,IA,51201,OBRIEN,(712) 324-5041,Critical Access Hospitals,Voluntary non-profit - Private
+83610,REGIONAL HEALTH RAPID CITY HOSPITAL,353 FAIRMONT BLVD  POST OFFICE BOX 6000,RAPID CITY,SD,57701,PENNINGTON,(605) 755-1000,Acute Care Hospitals,Voluntary non-profit - Private
+55703,"SUTTER MEDICAL CENTER, SACRAMENTO",2825 CAPITOL AVENUE,SACRAMENTO,CA,95816,SACRAMENTO,(916) 733-8999,Acute Care Hospitals,Voluntary non-profit - Private
+89081,THE NEBRASKA MEDICAL CENTER,987400 NEBRASKA MEDICAL CENTER,OMAHA,NE,68198,DOUGLAS,(402) 552-2040,Acute Care Hospitals,Voluntary non-profit - Private
+20187,STEVENS COMMUNITY MEDICAL CENTER,400 EAST FIRST STREET,MORRIS,MN,56267,STEVENS,(320) 589-1313,Critical Access Hospitals,Voluntary non-profit - Private
+38738,COMMUNITY MEMORIAL HOSPITAL,208 N COLUMBUS ST,HICKSVILLE,OH,43526,DEFIANCE,(419) 542-6692,Critical Access Hospitals,Government - Hospital District or Authority
+72425,WHITERIVER PHS INDIAN HOSPITAL,200 WEST HOSPITAL DRIVE  (PO BOX 860),WHITERIVER,AZ,85941,NAVAJO,(928) 338-4911,Acute Care Hospitals,Government - Federal
+63207,MENNONITE GENERAL HOSPITAL INC,CALLE JOSE C VASQUEZ BO. CAONILLAS,AIBONITO,PR,705,AIBONITO,(787) 535-1001,Acute Care Hospitals,Voluntary non-profit - Private
+19872,ZUNI COMPREHENSIVE COMMUNITY HEALTH CENTER,ROUTE 301 NORTH B STREET,ZUNI,NM,87327,MCKINLEY,(505) 782-4431,Acute Care Hospitals,Government - Federal
+75373,LAWTON INDIAN HOSPITAL,1515 LAWRIE TATUM ROAD,LAWTON,OK,73507,COMANCHE,(580) 354-5000,Acute Care Hospitals,Government - Federal
+13060,CENTRAL VERMONT MEDICAL CENTER,BOX 547,BARRE,VT,5641,WASHINGTON,(802) 371-4100,Acute Care Hospitals,Voluntary non-profit - Private
+94856,BAYSHORE MEDICAL CENTER,727 N BEERS ST,HOLMDEL,NJ,7733,MONMOUTH,(732) 739-5900,Acute Care Hospitals,Voluntary non-profit - Private
+60942,SENTARA OBICI HOSPITAL,2800 GODWIN BOULEVARD,SUFFOLK,VA,23439,SUFFOLK CITY,(757) 934-4000,Acute Care Hospitals,Voluntary non-profit - Other
+32694,CHARLESTON SURGICAL HOSPITAL,1306 KANAWHA BOULEVARD EAST,CHARLESTON,WV,25301,KANAWHA,(304) 343-4371,Acute Care Hospitals,Physician
+20254,TEMECULA VALLEY HOSPITAL,31700 TEMECULA PKWY,TEMECULA,CA,92592,RIVERSIDE,(951) 331-2200,Acute Care Hospitals,Proprietary
+70379,"BARNESVILLE HOSPITAL ASSOCIATION, INC",639 WEST MAIN STREET,BARNESVILLE,OH,43713,BELMONT,(740) 425-5101,Critical Access Hospitals,Voluntary non-profit - Private
+79394,BANNER BOSWELL MEDICAL CENTER,10401 WEST THUNDERBIRD BOULEVARD,SUN CITY,AZ,85351,MARICOPA,(623) 832-4000,Acute Care Hospitals,Voluntary non-profit - Other
+39098,TWIN CITIES HOSPITAL,2190 HWY 85 N,NICEVILLE,FL,32578,OKALOOSA,(850) 678-4131,Acute Care Hospitals,Proprietary
+68055,MILTON S HERSHEY MEDICAL CENTER,500 UNIVERSITY DRIVE,HERSHEY,PA,17033,DAUPHIN,(717) 531-8521,Acute Care Hospitals,Voluntary non-profit - Private
+27393,WILLIAMSPORT REGIONAL MEDICAL CENTER,700 HIGH STREET,WILLIAMSPORT,PA,17701,LYCOMING,(570) 321-2389,Acute Care Hospitals,Voluntary non-profit - Other
+52044,ST JOHN'S RIVERSIDE HOSPITAL,976 NORTH BROADWAY,YONKERS,NY,10701,WESTCHESTER,(914) 964-4444,Acute Care Hospitals,Voluntary non-profit - Private
+43907,CATALINA ISLAND MEDICAL CENTER,100 FALLS CANYON ROAD,AVALON,CA,90704,LOS ANGELES,(310) 510-0700,Critical Access Hospitals,Voluntary non-profit - Private
+31780,WESTERN PLAINS MEDICAL COMPLEX,3001 AVENUE A,DODGE CITY,KS,67801,FORD,(620) 225-8400,Acute Care Hospitals,Proprietary
+19490,WEST PENN HOSPITAL,4800 FRIENDSHIP AVENUE,PITTSBURGH,PA,15224,ALLEGHENY,(412) 578-5000,Acute Care Hospitals,Voluntary non-profit - Private
+93765,JOHNSON MEMORIAL HOSPITAL,201 CHESTNUT HILL ROAD,STAFFORD SPRINGS,CT,6076,TOLLAND,(860) 684-4251,Acute Care Hospitals,Voluntary non-profit - Private
+24100,PONTOTOC HEALTH SERVICE CAH,176 SOUTH MAIN STREET,PONTOTOC,MS,38863,PONTOTOC,(662) 489-5510,Critical Access Hospitals,Voluntary non-profit - Private
+64765,HOSPITAL UNIVERSITARIO DR RUIZ ARNAU,LAUREL AVE SANTA JUANITA #100,BAYAMON,PR,956,BAYAMON,(787) 787-5151,Acute Care Hospitals,Government - State
+33112,ARROWHEAD REGIONAL MEDICAL CENTER,400 NORTH PEPPER AVENUE,COLTON,CA,92324,SAN BERNARDINO,(909) 580-1000,Acute Care Hospitals,Government - Local
+29691,WINNEBAGO MENTAL HEALTH INSTITUTE,4100 TREFFERT DR,WINNEBAGO,WI,54985,WINNEBAGO,(920) 235-4910,Psychiatric,Government - State
+12935,WELLSTAR COBB HOSPITAL,3950 AUSTELL RD,AUSTELL,GA,30106,COBB,(770) 732-4000,Acute Care Hospitals,Voluntary non-profit - Other
+63942,"SHRINERS' HOSPITAL FOR CHILDREN - BOSTON, THE",51 BLOSSOM STREET,BOSTON,MA,2114,SUFFOLK,(617) 722-3000,Childrens,Proprietary
+62446,ST LUKES HOSPITAL,101 HOSPITAL DRIVE,COLUMBUS,NC,28722,POLK,(828) 894-3311,Critical Access Hospitals,Voluntary non-profit - Private
+36392,"IRA DAVENPORT MEMORIAL HOSPITAL, INC",7571 STATE ROUTE 54,BATH,NY,14810,STEUBEN,(607) 776-8500,Acute Care Hospitals,Voluntary non-profit - Other
+50436,SCRIPPS MEMORIAL HOSPITAL - ENCINITAS,354 SANTA FE DRIVE,ENCINITAS,CA,92024,SAN DIEGO,(760) 753-6501,Acute Care Hospitals,Voluntary non-profit - Private
+90314,BROOKINGS HEALTH SYSTEM,300 22ND AVE,BROOKINGS,SD,57006,BROOKINGS,(605) 696-9000,Acute Care Hospitals,Government - Local
+90388,SOUTHERN NH MEDICAL CENTER,8 PROSPECT STREET,NASHUA,NH,3060,HILLSBOROUGH,(603) 577-2000,Acute Care Hospitals,Voluntary non-profit - Private
+58062,DOCTORS HOSPITAL,5000 UNIVERSITY DR,CORAL GABLES,FL,33146,MIAMI-DADE,(305) 666-2111,Acute Care Hospitals,Voluntary non-profit - Other
+55758,VIRTUA WILLINGBORO HOSPITAL,218A SUNSET ROAD,WILLINGBORO,NJ,8046,BURLINGTON,(609) 835-2900,Acute Care Hospitals,Voluntary non-profit - Private
+31696,SISTERS OF CHARITY HOSPITAL,2157 MAIN STREET,BUFFALO,NY,14214,ERIE,(716) 862-1000,Acute Care Hospitals,Voluntary non-profit - Private
+64676,ANCORA PSYCH HOSP,ANCORA BRANCH,HAMMONTON,NJ,8037,ATLANTIC,(609) 561-1700,Psychiatric,Government - State
+93456,RIVERTON HOSPITAL,3741 WEST 12600 SOUTH,RIVERTON,UT,84065,SALT LAKE,(801) 285-4000,Acute Care Hospitals,Voluntary non-profit - Private
+51434,SOVAH HEALTH DANVILLE,142 SOUTH MAIN STREET,DANVILLE,VA,24541,DANVILLE CITY,(434) 799-2100,Acute Care Hospitals,Proprietary
+66047,ASCENSION ST VINCENT'S RIVERSIDE,1 SHIRCLIFF WAY,JACKSONVILLE,FL,32204,DUVAL,(904) 308-7300,Acute Care Hospitals,Voluntary non-profit - Private
+89782,ADVOCATE EUREKA  HOSPITAL,101 S MAJOR ST,EUREKA,IL,61530,WOODFORD,(309) 467-2371,Critical Access Hospitals,Voluntary non-profit - Private
+59203,SANFORD CHAMBERLAIN MEDICAL CENTER,300 S BYRON,CHAMBERLAIN,SD,57325,BRULE,(605) 234-5511,Critical Access Hospitals,Voluntary non-profit - Private
+76626,SITKA COMMUNITY HOSPITAL,209 MOLLER DRIVE,SITKA,AK,99835,SITKA BOROUGH,(907) 747-3241,Critical Access Hospitals,Government - Local
+57571,LARKIN COMMUNITY HOSPITAL,7031 SW 62ND AVE,SOUTH MIAMI,FL,33143,MIAMI-DADE,(305) 284-7500,Acute Care Hospitals,Proprietary
+37268,KAWEAH DELTA MEDICAL CENTER,400 W MINERAL KING AVE,VISALIA,CA,93291,TULARE,(559) 624-2000,Acute Care Hospitals,Government - Hospital District or Authority
+23563,INDIANA UNIVERSITY HEALTH BEDFORD HOSPITAL,2900 W 16TH ST,BEDFORD,IN,47421,LAWRENCE,(812) 275-1200,Critical Access Hospitals,Voluntary non-profit - Private
+87661,SWISHER MEMORIAL HOSPITAL,539 SOUTHEAST 2ND,TULIA,TX,79088,SWISHER,(806) 995-3581,Critical Access Hospitals,Voluntary non-profit - Private
+16027,SANTA BARBARA COTTAGE HOSPITAL,400 WEST PUEBLO,SANTA BARBARA,CA,93102,SANTA BARBARA,(805) 682-7111,Acute Care Hospitals,Voluntary non-profit - Private
+31941,"ARKANSAS HEART HOSPITAL, LLC",1701 S SHACKLEFORD ROAD,LITTLE ROCK,AR,72211,PULASKI,(501) 219-7000,Acute Care Hospitals,Proprietary
+57558,WILLIAMSON MEDICAL CENTER,4321 CAROTHERS PARKWAY,FRANKLIN,TN,37067,WILLIAMSON,(615) 435-5000,Acute Care Hospitals,Government - Hospital District or Authority
+23937,"UNIVERSITY OF MINNESOTA  MEDICAL CENTER, FAIRVIEW",2450 RIVERSIDE AVENUE,MINNEAPOLIS,MN,55454,HENNEPIN,(612) 273-3000,Acute Care Hospitals,Voluntary non-profit - Private
+48862,SCHNECK MEDICAL CENTER,411 W TIPTON ST,SEYMOUR,IN,47274,JACKSON,(812) 522-2349,Acute Care Hospitals,Government - Local
+27968,"MEMORIAL HEALTHCARE SYSTEM, INC",2525 DESALES AVE,CHATTANOOGA,TN,37404,HAMILTON,(423) 495-2525,Acute Care Hospitals,Voluntary non-profit - Church
+16519,NORTHERN MONTANA HOSPITAL,30 13TH ST,HAVRE,MT,59501,HILL,(406) 265-2211,Acute Care Hospitals,Voluntary non-profit - Private
+42483,OSCEOLA COMMUNITY HOSPITAL,600 9TH AVENUE NORTH,SIBLEY,IA,51249,OSCEOLA,(712) 754-2574,Critical Access Hospitals,Voluntary non-profit - Private
+30933,TENNOVA HEALTHCARE-HARTON,1801 N JACKSON ST BOX 460,TULLAHOMA,TN,37388,COFFEE,(931) 393-3000,Acute Care Hospitals,Voluntary non-profit - Other
+11421,MEADVILLE MEDICAL CENTER,751 LIBERTY STREET,MEADVILLE,PA,16335,CRAWFORD,(814) 333-5000,Acute Care Hospitals,Voluntary non-profit - Private
+88046,PENN HIGHLANDS BROOKVILLE,100 HOSPITAL ROAD,BROOKVILLE,PA,15825,JEFFERSON,(814) 849-2312,Critical Access Hospitals,Voluntary non-profit - Private
+29240,HEALTHMARK REGIONAL MEDICAL CENTER,4413 US HWY 331 S,DEFUNIAK SPRINGS,FL,32435,WALTON,(850) 951-4500,Acute Care Hospitals,Proprietary
+65228,LILLIAN M HUDSPETH MEMORIAL HOSPITAL,308 HUDSPETH,SONORA,TX,76950,SUTTON,(325) 387-2521,Critical Access Hospitals,Government - Hospital District or Authority
+21073,UNIVERSITY OF ILLINOIS HOSPITAL,1740 WEST TAYLOR ST SUITE 1400,CHICAGO,IL,60612,COOK,(312) 996-3900,Acute Care Hospitals,Government - State
+33075,WARM SPRINGS MEDICAL CENTER,5995 SPRING STREET,WARM SPRINGS,GA,31830,MERIWETHER,(706) 655-9351,Critical Access Hospitals,Voluntary non-profit - Other
+73532,INTEGRIS HEALTH EDMOND,4801 INTEGRIS PARKWAY,EDMOND,OK,73034,OKLAHOMA,(405) 657-3000,Acute Care Hospitals,Voluntary non-profit - Private
+23271,HOLY CROSS HOSPITAL A DIV OF TAOS HEALTH SYSTEMS,1397 WEIMER ROAD,TAOS,NM,87571,TAOS,(575) 758-8883,Critical Access Hospitals,Voluntary non-profit - Private
+69548,HOSPITAL OF UNIV OF PENNSYLVANIA,34TH & SPRUCE STS,PHILADELPHIA,PA,19104,PHILADELPHIA,(215) 662-3227,Acute Care Hospitals,Voluntary non-profit - Private
+88437,SOUTHWESTERN VIRGINIA MENTAL HEALTH INSTITUTE,340 BAGLEY CIRCLE,MARION,VA,24354,SMYTH,(276) 783-1200,Psychiatric,Government - State
+49469,COBLESKILL REGIONAL HOSPITAL,178 GRANDVIEW DRIVE,COBLESKILL,NY,12043,SCHOHARIE,(518) 254-3456,Critical Access Hospitals,Voluntary non-profit - Private
+81340,"NEBRASKA SPINE HOSPITAL, LLC","P O BOX 34400, 6901 NORTH 72ND ST, STE 20300",OMAHA,NE,68122,DOUGLAS,(402) 572-3000,Acute Care Hospitals,Proprietary
+26820,SOUTHERN WINDS,4225 W 20TH AVE,HIALEAH,FL,33012,MIAMI-DADE,(305) 558-9700,Psychiatric,Proprietary
+85600,MEMORIAL HOSPITAL,1204 MOUND ST,NACOGDOCHES,TX,75961,NACOGDOCHES,(936) 564-4611,Acute Care Hospitals,Government - Hospital District or Authority
+47177,PIEDMONT COLUMBUS REGIONAL MIDTOWN,710 CENTER STREET,COLUMBUS,GA,31901,MUSCOGEE,(706) 571-1000,Acute Care Hospitals,Voluntary non-profit - Other
+52839,BAPTIST MEMORIAL HOSPITAL,6019 WALNUT GROVE ROAD,MEMPHIS,TN,38120,SHELBY,(901) 226-5000,Acute Care Hospitals,Voluntary non-profit - Private
+76640,"OCHSNER MEDICAL CENTER - NORTHSHORE, L L C",100 MEDICAL CENTER DRIVE,SLIDELL,LA,70461,ST. TAMMANY,(985) 646-5000,Acute Care Hospitals,Voluntary non-profit - Private
+36796,SOUTH BEACH PSYCHIATRIC CENTER,777 SEAVIEW AVE,STATEN ISLAND,NY,10305,RICHMOND,(718) 667-2300,Psychiatric,Government - State
+58974,MIDWEST ORTHOPEDIC SPECIALTY HOSPITAL,10101 SOUTH 27TH ST  2ND FLOOR,FRANKLIN,WI,53132,MILWAUKEE,(414) 817-5800,Acute Care Hospitals,Physician
+14788,MID VALLEY HOSPITAL,810 JASMINE STREET,OMAK,WA,98841,OKANOGAN,(509) 826-1760,Critical Access Hospitals,Government - Hospital District or Authority
+74390,"PEAK BEHAVIORAL HEALTH SERVICES, LLC","5065 MCNUTT ROAD (BLDG'S B, C & D)",SANTA TERESA,NM,88008,DONA ANA,(575) 589-3000,Psychiatric,Proprietary
+16074,ST MARY'S MEDICAL CENTER,450 STANYAN ST,SAN FRANCISCO,CA,94117,SAN FRANCISCO,(415) 668-1000,Acute Care Hospitals,Voluntary non-profit - Private
+21178,ADVOCATE LUTHERAN GENERAL HOSPITAL,1775 DEMPSTER ST,PARK RIDGE,IL,60068,COOK,(847) 723-2210,Acute Care Hospitals,Voluntary non-profit - Church
+90974,BECKLEY ARH HOSPITAL,306 STANAFORD ROAD,BECKLEY,WV,25801,RALEIGH,(304) 255-3456,Acute Care Hospitals,Voluntary non-profit - Private
+56765,SENTARA RMH MEDICAL CENTER,2010 HEALTH CAMPUS DRIVE,HARRISONBURG,VA,22801,HARRISONBURG CITY,(540) 689-1000,Acute Care Hospitals,Voluntary non-profit - Private
+60556,TUCSON MEDICAL CENTER,5301 EAST GRANT ROAD,TUCSON,AZ,85712,PIMA,(520) 327-5461,Acute Care Hospitals,Voluntary non-profit - Private
+15460,THIBODAUX REGIONAL MEDICAL CENTER,602 N ACADIA ROAD,THIBODAUX,LA,70301,LAFOURCHE,(985) 447-5500,Acute Care Hospitals,Government - Hospital District or Authority
+91625,"LIVINGSTON HOSPITAL AND HEALTHCARE SERVICES, INC",131 HOSPITAL DRIVE,SALEM,KY,42078,LIVINGSTON,(270) 988-2299,Critical Access Hospitals,Voluntary non-profit - Private
+19292,UAMS MEDICAL CENTER,4301 WEST MARKHAM STREET MAIL SLOT 612,LITTLE ROCK,AR,72205,PULASKI,(501) 686-5000,Acute Care Hospitals,Government - State
+41631,UNICOI COUNTY  HOSPITAL,2030 TEMPLE HILL ROAD,ERWIN,TN,37650,UNICOI,(423) 743-3141,Acute Care Hospitals,Voluntary non-profit - Private
+43386,AVERA MERRILL PIONEER HOSPITAL,1100 S 10TH AVE,ROCK RAPIDS,IA,51246,LYON,(712) 472-2591,Critical Access Hospitals,Voluntary non-profit - Private
+41308,PENN HIGHLANDS HUNTINDON,1225 WARM SPRINGS AVE,HUNTINGDON,PA,16652,HUNTINGDON,(814) 643-2290,Acute Care Hospitals,Voluntary non-profit - Other
+14392,CHESHIRE MEDICAL CENTER,580 COURT STREET,KEENE,NH,3431,CHESHIRE,(603) 354-5400,Acute Care Hospitals,Voluntary non-profit - Private
+87669,UT SOUTHWESTERN UNIVERSITY HOSPITAL-ZALE LIPSHY,5151 HARRY HINES BLVD,DALLAS,TX,75390,DALLAS,(214) 879-3758,Acute Care Hospitals,Government - State
+82809,HENRY FORD ALLEGIANCE HEALTH,205 N EAST AVE,JACKSON,MI,49201,JACKSON,(517) 788-4800,Acute Care Hospitals,Voluntary non-profit - Other
+74201,ALICE HYDE MEDICAL CENTER,133 PARK STREET,MALONE,NY,12953,FRANKLIN,(518) 483-3000,Acute Care Hospitals,Voluntary non-profit - Other
+53951,KAISER FOUNDATION HOSPITAL - SAN FRANCISCO,2425 GEARY BLVD,SAN FRANCISCO,CA,94115,SAN FRANCISCO,(415) 833-2646,Acute Care Hospitals,Voluntary non-profit - Private
+14256,KADLEC REGIONAL MEDICAL CENTER,888 SWIFT BLVD,RICHLAND,WA,99352,BENTON,(509) 946-4611,Acute Care Hospitals,Voluntary non-profit - Private
+36128,PROVIDENCE NEWBERG MEDICAL CENTER,1001 PROVIDENCE DRIVE,NEWBERG,OR,97132,YAMHILL,(503) 537-1555,Acute Care Hospitals,Voluntary non-profit - Church
+15832,MEMORIAL HOSPITAL OF LAFAYETTE COUNTY,800 CLAY ST,DARLINGTON,WI,53530,LAFAYETTE,(608) 776-4466,Critical Access Hospitals,Government - Local
+85335,WELCH COMMUNITY HOSPITAL,454 MCDOWELL STREET,WELCH,WV,24801,MC DOWELL,(304) 436-8461,Acute Care Hospitals,Government - State
+72242,ADVENTIST LA GRANGE MEMORIAL HOSPITAL,5101 S WILLOW SPRINGS RD,LA GRANGE,IL,60525,COOK,(708) 352-1200,Acute Care Hospitals,Voluntary non-profit - Church
+69951,COOSA VALLEY MEDICAL CENTER,315 W HICKORY ST,SYLACAUGA,AL,35150,TALLADEGA,(256) 249-5000,Acute Care Hospitals,Government - Hospital District or Authority
+55003,"WEST CHESTER HOSPITAL, LLC",7700 UNIVERSITY DRIVE,WEST CHESTER,OH,45069,BUTLER,(513) 298-7700,Acute Care Hospitals,Voluntary non-profit - Private
+89021,DAVIS REGIONAL MEDICAL CENTER,218 OLD MOCKSBVILLE RD PO BOX 1823,STATESVILLE,NC,28687,IREDELL,(704) 873-0281,Acute Care Hospitals,Proprietary
+87189,SOUTHWEST HEALTHCARE SYSTEM,25500 MEDICAL CENTER DRIVE,MURRIETA,CA,92562,RIVERSIDE,(951) 696-6000,Acute Care Hospitals,Proprietary
+47016,MIDDLE PARK MEDICAL CENTER,214 4TH ST,KREMMLING,CO,80459,GRAND,(970) 724-3442,Critical Access Hospitals,Government - Hospital District or Authority
+34589,COMM BEHAVIORAL HEALTH HOSP,1610 8TH AVENUE EAST,ALEXANDRIA,MN,56308,DOUGLAS,(320) 335-6201,Psychiatric,Government - State
+14888,DALLAS BEHAVIORAL HEALTHCARE HOSPITAL LLC,800 KIRNWOOD DRIVE,DE SOTO,TX,75115,DALLAS,(972) 296-1005,Psychiatric,Proprietary
+91559,STATEN ISLAND UNIVERSITY HOSPITAL,475 SEAVIEW AVENUE,STATEN ISLAND,NY,10305,RICHMOND,(418) 226-9761,Acute Care Hospitals,Voluntary non-profit - Private
+59161,ASCENSION ST MICHAELS HOSPITAL,900 ILLINOIS AVE,STEVENS POINT,WI,54481,PORTAGE,(715) 346-5000,Acute Care Hospitals,Voluntary non-profit - Church
+17270,PONDERA MEDICAL CENTER,805 SUNSET BLVD,CONRAD,MT,59425,PONDERA,(406) 271-3211,Critical Access Hospitals,Voluntary non-profit - Private
+94678,PEACHFORD BEHAVIORAL HEALTH SYSTEM OF ATLANTA,2151 PEACHFORD ROAD,ATLANTA,GA,30338,DE KALB,(770) 455-3200,Psychiatric,Proprietary
+15500,ESSEX COUNTY HOSPITAL CENTER,204 GROVE AVENUE,CEDAR GROVE,NJ,7009,ESSEX,(973) 571-2801,Psychiatric,Government - Local
+71381,TEXAS CHILDRENS HOSP,6621 FANNIN STREET,HOUSTON,TX,77030,HARRIS,(832) 824-1000,Childrens,Voluntary non-profit - Private
+70263,MUSC HEALTH LANCASTER MEDICAL CENTER,800 W MEETING ST,LANCASTER,SC,29720,LANCASTER,(803) 286-1481,Acute Care Hospitals,Proprietary
+33477,STORMONT VAIL HOSPITAL,1500 SW 10TH AVENUE,TOPEKA,KS,66604,SHAWNEE,(785) 354-6121,Acute Care Hospitals,Voluntary non-profit - Private
+73741,COPPER QUEEN COMMUNITY HOSPITAL,101 COLE AVENUE,BISBEE,AZ,85603,COCHISE,(520) 432-6401,Critical Access Hospitals,Voluntary non-profit - Private
+94816,LA PORTE HOSPITAL,1007 LINCOLNWAY,LA PORTE,IN,46350,LA PORTE,(219) 326-1234,Acute Care Hospitals,Voluntary non-profit - Private
+60148,HENRY MAYO NEWHALL  HOSPITAL,23845  MCBEAN PKWY,VALENCIA,CA,91355,LOS ANGELES,(661) 253-8000,Acute Care Hospitals,Voluntary non-profit - Private
+64646,CHRISTUS SPOHN HOSPITAL BEEVILLE,1500 E HOUSTON HWY,BEEVILLE,TX,78102,BEE,(361) 354-2000,Acute Care Hospitals,Voluntary non-profit - Church
+45507,SAINT FRANCIS HOSPITAL MUSKOGEE,300 ROCKEFELLER DRIVE,MUSKOGEE,OK,74401,MUSKOGEE,(918) 682-5501,Acute Care Hospitals,Voluntary non-profit - Private
+94701,SANTA BARBARA COUNTY PSYCHIATRIC HEALTH FACILITY,315 CAMINO DEL REMEDIO,SANTA BARBARA,CA,93110,SANTA BARBARA,(805) 681-5244,Psychiatric,Government - Local
+63667,OKLAHOMA STATE UNIVERSITY MEDICAL CENTER,744 WEST 9TH STREET,TULSA,OK,74127,TULSA,(918) 599-1000,Acute Care Hospitals,Government - State
+53439,CHI HEALTH MIDLANDS,11111 SOUTH 84TH ST,PAPILLION,NE,68046,SARPY,(402) 593-3000,Acute Care Hospitals,Voluntary non-profit - Church
+11573,TEN BROECK TENNESSEE,1 MEDICAL CENTER BLVD 5 WEST,COOKEVILLE,TN,38501,PUTNAM,(931) 783-2075,Psychiatric,Proprietary
+82763,BETHESDA NORTH,10500 MONTGOMERY ROAD,CINCINNATI,OH,45242,HAMILTON,(513) 865-1241,Acute Care Hospitals,Voluntary non-profit - Church
+33008,ADVENTHEALTH PALM COAST,60 MEMORIAL MEDICAL PKWY,PALM COAST,FL,32164,FLAGLER,(386) 586-2000,Acute Care Hospitals,Voluntary non-profit - Church
+30940,NORTH COLORADO MEDICAL CENTER,1801 - 16TH ST,GREELEY,CO,80631,WELD,(970) 810-4121,Acute Care Hospitals,Voluntary non-profit - Private
+46965,HAVENWYCK HOSPITAL,1525 UNIVERSITY DRIVE,AUBURN HILLS,MI,48326,OAKLAND,(248) 373-9200,Psychiatric,Proprietary
+85629,ST JOSEPH'S HOSPITAL - SAVANNAH,11705 MERCY BOULEVARD,SAVANNAH,GA,31419,CHATHAM,(912) 819-4100,Acute Care Hospitals,Voluntary non-profit - Private
+42880,MERCY HOSPITAL OF FOLSOM,1650 CREEKSIDE DRIVE,FOLSOM,CA,95630,SACRAMENTO,(916) 983-7400,Acute Care Hospitals,Voluntary non-profit - Private
+68285,BRAZOSPORT REGIONAL HEALTH SYSTEM,100 MEDICAL DRIVE,LAKE JACKSON,TX,77566,BRAZORIA,(979) 297-4411,Acute Care Hospitals,Voluntary non-profit - Private
+77583,WEST TENNESSEE HEALTHCARE DYERSBURG HOSPITAL,400 EAST TICKLE STREET,DYERSBURG,TN,38024,DYER,(731) 285-2410,Acute Care Hospitals,Proprietary
+41558,PERRY MEMORIAL HOSPITAL,530 PARK AVENUE EAST,PRINCETON,IL,61356,BUREAU,(815) 875-2811,Critical Access Hospitals,Government - Local
+45485,CHARLES A CANNON JR MEMORIAL HOSPITAL,434 HOSPITAL DRIVE,LINVILLE,NC,28646,AVERY,(828) 737-7000,Critical Access Hospitals,Voluntary non-profit - Private
+87484,SAINT JOSEPH MERCY LIVINGSTON HOSPITAL,620 BYRON RD,HOWELL,MI,48843,LIVINGSTON,(517) 545-6000,Acute Care Hospitals,Voluntary non-profit - Other
+11202,ALICE PECK DAY MEMORIAL HOSPITAL,10 ALICE PECK DAY DRIVE,LEBANON,NH,3766,GRAFTON,(603) 448-3121,Critical Access Hospitals,Voluntary non-profit - Private
+85249,OWATONNA HOSPITAL,2250 26TH STREET NORTHWEST,OWATONNA,MN,55060,STEELE,(507) 977-2000,Acute Care Hospitals,Voluntary non-profit - Other
+66480,DEVEREUX TEXAS TREATMENT NETWORK,1150 DEVEREUX DR,LEAGUE CITY,TX,77573,GALVESTON,(281) 335-1000,Psychiatric,Voluntary non-profit - Private
+82615,"SCENIC MOUNTAIN MEDICAL CENTER, A STEWARD FAMILY H",1601 W 11TH PLACE,BIG SPRING,TX,79720,HOWARD,(432) 263-1211,Acute Care Hospitals,Proprietary
+58278,LONGLEAF HOSPITAL,44 VERSAILLES BLVD,ALEXANDRIA,LA,71303,RAPIDES,(318) 445-5111,Psychiatric,Proprietary
+72120,ASPEN MOUNTAIN MEDICAL CENTER,4401 COLLEGE DRIVE,ROCK SPRINGS,WY,82901,SWEETWATER,(307) 448-2758,Acute Care Hospitals,Proprietary
+25712,EL PASO LTAC HOSPTIAL,1221 N COTTON ST 3RD FLOOR,EL PASO,TX,79902,EL PASO,(915) 496-9687,Acute Care Hospitals,Physician
+82300,CARILION STONEWALL JACKSON HOSPITAL,1 HEALTH CIRCLE,LEXINGTON,VA,24450,LEXINGTON CITY,(540) 458-3503,Critical Access Hospitals,Voluntary non-profit - Private
+75320,POWELL VALLEY HOSPITAL,777 AVENUE H,POWELL,WY,82435,PARK,(307) 754-2267,Critical Access Hospitals,Government - Hospital District or Authority
+14854,LUCILE SALTER PACKARD CHILDREN'S HSP AT STANFORD,725 WELCH ROAD,PALO ALTO,CA,94304,SANTA CLARA,(650) 497-8000,Childrens,Voluntary non-profit - Private
+12894,WABASH GENERAL HOSPITAL 1,1418 COLLEGE DRIVE,MOUNT CARMEL,IL,62863,WABASH,(618) 262-8621,Critical Access Hospitals,Government - Hospital District or Authority
+94385,ST JAMES PARISH HOSPITAL,1645 LUTCHER AVENUE,LUTCHER,LA,70071,ST. JAMES,(225) 869-5512,Critical Access Hospitals,Government - Hospital District or Authority
+21674,LEVINDALE HEBREW GERIATRIC CENTER AND HOSPITAL,2434 WEST BELVEDERE AVENUE,BALTIMORE,MD,21209,BALTIMORE CITY,(410) 601-2400,Acute Care Hospitals,Voluntary non-profit - Private
+92259,BETH ISRAEL DEACONESS HOSPITAL - NEEDHAM,148 CHESTNUT STREET,NEEDHAM,MA,2494,NORFOLK,(781) 453-3002,Acute Care Hospitals,Voluntary non-profit - Private
+52841,CHINO VALLEY MEDICAL CENTER,5451 WALNUT AVE,CHINO,CA,91710,SAN BERNARDINO,(909) 627-6111,Acute Care Hospitals,Proprietary
+58557,SCOTT COUNTY HOSPITAL,201 ALBERT AVENUE,SCOTT CITY,KS,67871,SCOTT,(620) 872-5811,Critical Access Hospitals,Voluntary non-profit - Private
+25342,VHS HARLINGEN HOSPITAL COMPANY LLC,2101 PEASE ST,HARLINGEN,TX,78550,CAMERON,(956) 389-1100,Acute Care Hospitals,Proprietary
+78756,VALLEY CHILDREN'S HOSPITAL,9300 VALLEY CHILDRENS PLACE,MADERA,CA,93636,MADERA,(559) 353-5116,Childrens,Voluntary non-profit - Private
+25083,ROPER HOSPITAL,316 CALHOUN ST,CHARLESTON,SC,29401,CHARLESTON,(843) 724-2800,Acute Care Hospitals,Voluntary non-profit - Private
+41833,VALLE VISTA HEALTH SYSTEM,898 E MAIN ST,GREENWOOD,IN,46143,JOHNSON,(317) 883-5300,Psychiatric,Proprietary
+44246,WILSON N JONES REGIONAL MEDICAL CENTER,500 N HIGHLAND AVENUE,SHERMAN,TX,75091,GRAYSON,(903) 870-4611,Acute Care Hospitals,Proprietary
+25906,RIVER CREST HOSP,1636 HUNTERS GLEN ROAD,SAN ANGELO,TX,76901,TOM GREEN,(915) 949-5722,Psychiatric,Proprietary
+12085,CHEROKEE REGIONAL MEDICAL CENTER,300 SIOUX VALLEY DRIVE,CHEROKEE,IA,51012,CHEROKEE,(712) 225-5101,Critical Access Hospitals,Voluntary non-profit - Private
+53381,DOCTORS MEDICAL CENTER,1441 FLORIDA AVENUE,MODESTO,CA,95350,STANISLAUS,(209) 578-1211,Acute Care Hospitals,Proprietary
+68189,GUNDERSEN BOSCOBEL AREA HOSPITAL AND CLINICS,205 PARKER ST,BOSCOBEL,WI,53805,GRANT,(608) 375-4112,Critical Access Hospitals,Voluntary non-profit - Private
+75349,ANDERSON REGIONAL MEDICAL CTR,2124 14 ST,MERIDIAN,MS,39301,LAUDERDALE,(601) 553-6000,Acute Care Hospitals,Voluntary non-profit - Private
+66988,CAREPOINT HEALTH-CHRIST HOSPITAL,176 PALISADE AVE,JERSEY CITY,NJ,7306,HUDSON,(201) 795-8200,Acute Care Hospitals,Voluntary non-profit - Church
+43752,EPHRAIM MCDOWELL FORT LOGAN HOSPITAL,110 METKER TRAIL,STANFORD,KY,40484,LINCOLN,(606) 365-4788,Critical Access Hospitals,Voluntary non-profit - Private
+88479,GREENWOOD COUNTY HOSPITAL,100 W 16TH STREET,EUREKA,KS,67045,GREENWOOD,(620) 583-7451,Critical Access Hospitals,Government - Local
+16976,HOLTON COMMUNITY HOSPITAL,1110 COLUMBINE DRIVE,HOLTON,KS,66436,JACKSON,(785) 364-2116,Critical Access Hospitals,Voluntary non-profit - Private
+69590,WINCHESTER MEDICAL CENTER,1840 AMHERST ST,WINCHESTER,VA,22601,WINCHESTER CITY,(540) 536-8000,Acute Care Hospitals,Voluntary non-profit - Private
+46772,JOHNS HOPKINS BAYVIEW MEDICAL CENTER,4940 EASTERN AVENUE,BALTIMORE,MD,21224,BALTIMORE CITY,(410) 550-0123,Acute Care Hospitals,Voluntary non-profit - Private
+11005,STONEWALL MEMORIAL HOSPITAL,821 NORTH BROADWAY,ASPERMONT,TX,79502,STONEWALL,(940) 989-3551,Critical Access Hospitals,Government - Hospital District or Authority
+48263,UPMC CHILDREN'S HOSPITAL OF PITTSBURGH,ONE CHILDREN'S HOSPITAL DRIVE,PITTSBURGH,PA,15224,ALLEGHENY,(412) 692-5325,Childrens,Voluntary non-profit - Other
+32963,FIRSTHEALTH MONTGOMERY MEMORIAL HOSP,520 ALLEN STREET,TROY,NC,27371,MONTGOMERY,(910) 572-1301,Critical Access Hospitals,Voluntary non-profit - Private
+11908,KULA HOSPITAL,100 KEOKEA PLACE,KULA,HI,96790,MAUI,(808) 878-1221,Critical Access Hospitals,Government - State
+85807,BERTRAND CHAFFEE HOSPITAL,224 EAST MAIN STREET,SPRINGVILLE,NY,14141,ERIE,(716) 592-2871,Acute Care Hospitals,Voluntary non-profit - Church
+57277,BEAUMONT HOSPITAL - TRENTON,5450 FORT STREET,TRENTON,MI,48183,WAYNE,(734) 671-3800,Acute Care Hospitals,Voluntary non-profit - Private
+20569,"APOLLO BEHAVIORAL HEALTH HOSPITAL, L L C",9938 AIRLINE HWY,BATON ROUGE,LA,70809,E. BATON ROUGE,(225) 663-2881,Psychiatric,Proprietary
+66121,SPECIALISTS HOSPITAL SHREVEPORT,1500 LINE AVENUE,SHREVEPORT,LA,71101,CADDO,(318) 213-3800,Acute Care Hospitals,Physician
+33195,ANDREW MCFARLAND MENTAL HLTH CTR,901 SOUTHWIND RD,SPRINGFIELD,IL,62703,SANGAMON,(217) 786-6900,Psychiatric,Government - State
+51216,ST FRANCIS MEDICAL CENTER,2400 ST FRANCIS DRIVE,BRECKENRIDGE,MN,56520,WILKIN,(218) 643-3000,Critical Access Hospitals,Voluntary non-profit - Church
+36242,NICKLAUS CHILDREN'S HOSPITAL,3100 SW 62ND AVE,MIAMI,FL,33155,MIAMI-DADE,(305) 666-6511,Childrens,Voluntary non-profit - Private
+21939,KAU HOSPITAL,1 KAMANI STREET,PAHALA,HI,96777,HAWAII,(808) 928-8331,Critical Access Hospitals,Government - State
+76058,COAST PLAZA HOSPITAL,13100 STUDERBAKER ROAD,NORWALK,CA,90650,LOS ANGELES,(310) 356-0550,Acute Care Hospitals,Proprietary
+79395,TWIN VALLEY BEHAVIORAL HEALTHCARE,2200 WEST BROAD STREET,COLUMBUS,OH,43223,FRANKLIN,(614) 752-0333,Psychiatric,Government - Local
+73695,COVINGTON BEHAVIORAL HEALTH,201 GREENBRIAR BLVD,COVINGTON,LA,70433,ST. TAMMANY,(985) 893-2970,Psychiatric,Proprietary
+73945,"MERCY HOSPITAL ARDMORE, INC","1011 FOURTEENTH AVENUE, NORTHWEST",ARDMORE,OK,73401,CARTER,(580) 223-5400,Acute Care Hospitals,Voluntary non-profit - Private
+68735,MORROW COUNTY HOSPITAL,651 WEST MARION ROAD,MOUNT GILEAD,OH,43338,MORROW,(419) 946-5015,Critical Access Hospitals,Government - Local
+21502,AUGUSTA HEALTH,78 MEDICAL CENTER DRIVE,FISHERSVILLE,VA,22939,AUGUSTA,(540) 932-4000,Acute Care Hospitals,Voluntary non-profit - Private
+41648,TEXAS HEALTH HARRIS METHODIST FORT WORTH,1301 PENNSYLVANIA AVENUE,FORT WORTH,TX,76104,TARRANT,(817) 250-2100,Acute Care Hospitals,Voluntary non-profit - Church
+20111,NORTH MISSISSIPPI STATE HOSPITAL,1937 BRIAR RIDGE RD,TUPELO,MS,38804,LEE,(662) 690-4200,Psychiatric,Government - State
+39507,EPHRAIM MCDOWELL REGIONAL MEDICAL CENTER,217 SOUTH THIRD STREET,DANVILLE,KY,40422,BOYLE,(859) 239-2409,Acute Care Hospitals,Voluntary non-profit - Private
+85715,MERCY HEALTH - ST CHARLES HOSPITAL,2600 NAVARRE AVENUE,OREGON,OH,43616,LUCAS,(419) 696-7200,Acute Care Hospitals,Voluntary non-profit - Church
+55652,MEMORIAL HERMANN HOSPITAL SYSTEM,1635  NORTH LOOP WEST,HOUSTON,TX,77008,HARRIS,(713) 448-6796,Acute Care Hospitals,Voluntary non-profit - Private
+11151,JONES REGIONAL MEDICAL CENTER,1795 HIGHWAY 64 EAST,ANAMOSA,IA,52205,JONES,(319) 462-6131,Critical Access Hospitals,Voluntary non-profit - Private
+79144,TIMPANOGOS REGIONAL HOSPITAL,750 WEST 800 NORTH,OREM,UT,84057,UTAH,(801) 714-6800,Acute Care Hospitals,Proprietary
+26414,MARY GREELEY MEDICAL CENTER,1111 DUFF AVENUE,AMES,IA,50010,STORY,(515) 239-2011,Acute Care Hospitals,Voluntary non-profit - Private
+37584,BRANDYWINE HOSPITAL,201 REECEVILLE ROAD,COATESVILLE,PA,19320,CHESTER,(610) 383-8000,Acute Care Hospitals,Proprietary
+76781,HUMBOLDT GENERAL HOSPITAL,118 EAST HASKELL STREET,WINNEMUCCA,NV,89445,HUMBOLDT,(775) 623-5222,Critical Access Hospitals,Government - Hospital District or Authority
+34194,PHILLIPS EYE INSTITUTE,2215 PARK AVENUE SOUTH,MINNEAPOLIS,MN,55404,HENNEPIN,(612) 775-8751,Acute Care Hospitals,Government - Federal
+61618,FOUNDATION SURGICAL HOSPITAL OF EL PASO,1416 GEORGE DIETER,EL PASO,TX,79936,EL PASO,(915) 598-4240,Acute Care Hospitals,Proprietary
+37841,LAIRD HOSPITAL INC,25117 HIGHWAY 15,UNION,MS,39365,NESHOBA,(601) 774-8214,Critical Access Hospitals,Voluntary non-profit - Private
+56038,WILLOW ROCK CENTER,2050 FAIRMONT DRIVE,SAN LEANDRO,CA,94578,ALAMEDA,(510) 895-5502,Psychiatric,Proprietary
+58943,TRMC OF ORANGEBURG & CALHOUN,3000 ST MATTHEWS RD BOX 1806,ORANGEBURG,SC,29115,ORANGEBURG,(803) 533-2460,Acute Care Hospitals,Government - Local
+44262,NORTH TAMPA BEHAVIORAL HEALTH,29910 SR 56,WESLEY CHAPEL,FL,33543,PASCO,(813) 333-0000,Psychiatric,Voluntary non-profit - Private
+70341,OAK HILL HOSPITAL,11375 CORTEZ BLVD,BROOKSVILLE,FL,34613,HERNANDO,(352) 596-6632,Acute Care Hospitals,Voluntary non-profit - Other
+35095,ASCENSION ST MARY'S HOSPITAL,800 S WASHINGTON AVENUE,SAGINAW,MI,48601,SAGINAW,(989) 776-8000,Acute Care Hospitals,Voluntary non-profit - Church
+92700,"CUBA MEMORIAL HOSPITAL, INC",140 WEST MAIN STREET,CUBA,NY,14727,ALLEGANY,(585) 961-2000,Critical Access Hospitals,Voluntary non-profit - Private
+85208,"MEDICAL CENTER OF PEACH COUNTY, NAVICENT HEALTH",1960 HIGHWAY 247 CONNECTOR,BYRON,GA,31008,PEACH,(478) 654-2000,Critical Access Hospitals,Government - Hospital District or Authority
+47132,MENIFEE GLOBAL MEDICAL CENTER,28400 MCCALL B0ULEVARD,SUN CITY,CA,92585,RIVERSIDE,(951) 679-8888,Acute Care Hospitals,Physician
+68233,SAN ANTONIO STATE HOSPITAL,6711 S NEW BRAUNFELS AVE,SAN ANTONIO,TX,78223,BEXAR,(210) 531-7711,Psychiatric,Government - State
+93316,BOB WILSON MEMORIAL GRANT COUNTY HOSPITAL,415 N MAIN STREET,ULYSSES,KS,67880,GRANT,(620) 356-1266,Acute Care Hospitals,Proprietary
+75732,UH ST JOHN MEDICAL CENTER,29000 CENTER RIDGE ROAD,WESTLAKE,OH,44145,CUYAHOGA,(440) 835-8000,Acute Care Hospitals,Voluntary non-profit - Private
+52752,OASIS BEHAVIORAL HEALTH HOSPITAL,2190 NORTH GRACE BOULEVARD,CHANDLER,AZ,85225,MARICOPA,(480) 917-9301,Psychiatric,Proprietary
+83012,ROSE MEDICAL CENTER,4567 E 9TH AVE,DENVER,CO,80220,DENVER,(303) 320-2121,Acute Care Hospitals,Proprietary
+56566,SOUTHEAST MISSOURI MENTAL HLTH CTR,1010 WEST COLUMBIA STREET,FARMINGTON,MO,63640,ST. FRANCOIS,(573) 218-6792,Psychiatric,Government - State
+40416,BROWNWOOD REGIONAL MEDICAL CENTER,1501 BURNET DR,BROWNWOOD,TX,76801,BROWN,(325) 646-8541,Acute Care Hospitals,Proprietary
+63535,UNITY PSYCHIATRIC CARE - HUNTSVILLE,"5315 MILLENIUM DRIVE, NW",HUNTSVILLE,AL,35806,MADISON,(256) 964-6700,Psychiatric,Proprietary
+26572,HILLSBORO AREA HOSPITAL,1200 E TREMONT STREET,HILLSBORO,IL,62049,MONTGOMERY,(217) 532-6111,Critical Access Hospitals,Voluntary non-profit - Private
+61322,SEVIER VALLEY HOSPITAL,1000 NORTH MAIN STREET,RICHFIELD,UT,84701,SEVIER,(435) 893-4100,Acute Care Hospitals,Voluntary non-profit - Private
+16151,BANNER LASSEN MEDICAL CENTER,1800 SPRING RIDGE DRIVE,SUSANVILLE,CA,96130,LASSEN,(530) 252-2000,Critical Access Hospitals,Voluntary non-profit - Private
+12160,ORLANDO HEALTH ORLANDO REGIONAL MEDICAL CENTER,52 W UNDERWOOD ST,ORLANDO,FL,32806,ORANGE,(321) 843-8000,Acute Care Hospitals,Voluntary non-profit - Private
+51492,ERIE COUNTY MEDICAL CENTER,462 GRIDER STREET,BUFFALO,NY,14215,ERIE,(716) 898-3936,Acute Care Hospitals,Voluntary non-profit - Private
+32283,ALLIANCEHEALTH PONCA CITY,1900 NORTH 14TH STREET,PONCA CITY,OK,74601,KAY,(580) 765-3301,Acute Care Hospitals,Proprietary
+25366,"COMMUNITY HOSPITAL, ONAGA AND ST MARYS CAMPUS",120 WEST 8TH STREET,ONAGA,KS,66521,POTTAWATOMIE,(785) 889-4272,Critical Access Hospitals,Government - Hospital District or Authority
+77452,ORTHOPEDIC SPECIALTY HOSPITAL OF NEVADA,8656 WEST PATRICK LANE,LAS VEGAS,NV,89148,CLARK,(702) 777-7100,Acute Care Hospitals,Voluntary non-profit - Private
+59406,MONONGALIA COUNTY GENERAL HOSPITAL,1200 JD ANDERSON DRIVE,MORGANTOWN,WV,26505,MONONGALIA,(304) 598-1200,Acute Care Hospitals,Voluntary non-profit - Private
+42748,GREENVILLE REGIONAL HOSPITAL,200 HEALTH CARE DR,GREENVILLE,IL,62246,BOND,(618) 664-1230,Acute Care Hospitals,Voluntary non-profit - Private
+27672,ST MARY MERCY HOSPITAL,36475 FIVE MILE ROAD,LIVONIA,MI,48154,WAYNE,(734) 655-4800,Acute Care Hospitals,Voluntary non-profit - Private
+19465,LAKEWOOD HEALTH SYSTEM,49725 COUNTY ROAD 83,STAPLES,MN,56479,TODD,(218) 894-1515,Critical Access Hospitals,Voluntary non-profit - Other
+35529,JOHN MUIR MEDICAL CENTER - WALNUT CREEK CAMPUS,1601 YGNACIO VALLEY RD,WALNUT CREEK,CA,94598,CONTRA COSTA,(925) 939-3000,Acute Care Hospitals,Voluntary non-profit - Other
+70640,IRWIN COUNTY HOSPITAL,710 N IRWIN AVENUE,OCILLA,GA,31774,IRWIN,(229) 468-3845,Acute Care Hospitals,Government - Hospital District or Authority
+67431,EMIL J FREIREICH CANCER CENTER,9201 PINECROFT,SHENANDOAH,TX,77380,MONTGOMERY,(855) 353-2201,Acute Care Hospitals,Proprietary
+36588,SHRINERS HOSPITALS FOR CHILDREN NORTHERN CALIF,2425 STOCKTON BOULEVARD,SACRAMENTO,CA,95817,SACRAMENTO,(916) 453-2000,Childrens,Voluntary non-profit - Private
+30008,LANE COUNTY HOSPITAL,235 WEST VINE  PO BOX 969,DIGHTON,KS,67839,LANE,(620) 397-5321,Critical Access Hospitals,Government - Hospital District or Authority
+23370,GUAM MEMORIAL HOSPITAL AUTHORITY,85O GOV CARLOS G CAMACHO ROAD,TAMUNING,GU,96913,GUAM,(671) 647-2552,Acute Care Hospitals,Government - Local
+24716,GRAHAM HOSPITAL ASSOCIATION,210 WEST WALNUT STREET,CANTON,IL,61520,FULTON,(309) 647-5240,Acute Care Hospitals,Voluntary non-profit - Private
+92361,GRACE COTTAGE HOSPITAL,PO BOX 216,TOWNSHEND,VT,5353,WINDHAM,(802) 365-7920,Critical Access Hospitals,Voluntary non-profit - Private
+19258,PALM BAY HOSPITAL,"1425 MALABAR RD, NE",PALM BAY,FL,32907,BREVARD,(321) 434-8000,Acute Care Hospitals,Proprietary
+63603,"WOODS AT PARKSIDE,THE",349 OLDE RIDENOUR ROAD,COLUMBUS,OH,43230,FRANKLIN,(614) 471-2552,Acute Care Hospitals,Proprietary
+10149,COMMUNITY HOSPITALS AND WELLNESS CENTERS,909 EAST SNYDER AVENUE,MONTPELIER,OH,43543,WILLIAMS,(419) 485-3154,Critical Access Hospitals,Voluntary non-profit - Private
+85772,ABBOTT NORTHWESTERN HOSPITAL,800 EAST 28TH STREET,MINNEAPOLIS,MN,55407,HENNEPIN,(612) 863-4457,Acute Care Hospitals,Voluntary non-profit - Private
+76920,OGALLALA COMMUNITY HOSPITAL,2601 NORTH SPRUCE ST,OGALLALA,NE,69153,KEITH,(308) 284-4011,Critical Access Hospitals,Government - Hospital District or Authority
+27677,PEMBINA COUNTY MEMORIAL HOSPITAL,BOX 380,CAVALIER,ND,58220,PEMBINA,(701) 265-8461,Critical Access Hospitals,Voluntary non-profit - Private
+54520,ST MARY'S REGIONAL MEDICAL CENTER,93 CAMPUS AVENUE - PO BOX 291,LEWISTON,ME,4243,ANDROSCOGGIN,(207) 777-8100,Acute Care Hospitals,Voluntary non-profit - Private
+17900,GALION COMMUNITY HOSPITAL,269 PORTLAND WAY SOUTH,GALION,OH,44833,CRAWFORD,(419) 468-4841,Critical Access Hospitals,Voluntary non-profit - Church
+34668,MICHIANA BEHAVIORAL HEALTH CENTER,1800 N OAK RD,PLYMOUTH,IN,46563,MARSHALL,(574) 936-3784,Psychiatric,Voluntary non-profit - Other
+11754,JEFFERSON HOSPITAL,1067 PEACHTREE ST,LOUISVILLE,GA,30434,JEFFERSON,(478) 625-7000,Acute Care Hospitals,Government - Hospital District or Authority
+65254,CLEVELAND CLINIC HOSPITAL,3100 WESTON RD,WESTON,FL,33331,BROWARD,(954) 689-5000,Acute Care Hospitals,Voluntary non-profit - Private
+46468,UNIVERSITY OF COLORADO HOSPITAL AUTHORITY,12605 E 16TH AVE,AURORA,CO,80045,ADAMS,(720) 848-0000,Acute Care Hospitals,Government - Hospital District or Authority
+72660,FAIRVIEW DEVELOPMENTAL CENTER,2501 HARBOR BOULEVARD,COSTA MESA,CA,92626,ORANGE,(714) 957-5000,Acute Care Hospitals,Government - Local
+47632,JASPER MEMORIAL HOSPITAL,898 COLLEGE STREET,MONTICELLO,GA,31064,JASPER,(706) 468-6411,Critical Access Hospitals,Government - Local
+83344,PORTER REGIONAL HOSPITAL,85 EAST US HWY 6,VALPARAISO,IN,46383,PORTER,(219) 983-8300,Acute Care Hospitals,Proprietary
+25842,VALOR HEALTH,1202 EAST LOCUST STREET,EMMETT,ID,83617,GEM,(208) 365-3561,Critical Access Hospitals,Government - Local
+29049,MAYO CLINIC HEALTH SYSTEM-WASECA,501 NORTH STATE STREET,WASECA,MN,56093,WASECA,(507) 835-1210,Critical Access Hospitals,Voluntary non-profit - Private
+37187,WESTERN MENTAL HEALTH INSTITUTE,11100 OLD HWY 64 WEST,BOLIVAR,TN,38008,HARDEMAN,(731) 228-2000,Psychiatric,Government - Local
+49537,CENTRACARE HEALTH - MONTICELLO,1013 HART BOULEVARD,MONTICELLO,MN,55362,WRIGHT,(763) 295-2945,Critical Access Hospitals,Voluntary non-profit - Private
+37547,LOUIS A WEISS MEMORIAL HOSPITAL,4646 N MARINE DRIVE,CHICAGO,IL,60640,COOK,(773) 878-8700,Acute Care Hospitals,Proprietary
+56656,LOVELACE WESTSIDE HOSPITAL,10501 GOLF COURSE ROAD NW,ALBUQUERQUE,NM,87114,BERNALILLO,(505) 727-2001,Acute Care Hospitals,Proprietary
+29866,RESEARCH MEDICAL CENTER,2316 E MEYER BLVD,KANSAS CITY,MO,64132,JACKSON,(816) 276-4000,Acute Care Hospitals,Proprietary
+28692,MH ST ELIZABETH YOUNGSTOWN HOSPITAL,1044 BELMONT AVENUE,YOUNGSTOWN,OH,44501,MAHONING,(330) 480-3962,Acute Care Hospitals,Voluntary non-profit - Church
+24074,BHC STREAMWOOD HOSPITAL INC,1400 E IRVING PARK ROAD,STREAMWOOD,IL,60107,COOK,(630) 837-9000,Psychiatric,Proprietary
+57198,EAST MORGAN COUNTY HOSPITAL,2400 WEST EDISON STREET,BRUSH,CO,80723,MORGAN,(970) 842-6222,Critical Access Hospitals,Government - Hospital District or Authority
+91602,AURORA LAKELAND MEDICAL CENTER,W3985 COUNTY ROAD NN,ELKHORN,WI,53121,WALWORTH,(262) 741-2000,Acute Care Hospitals,Voluntary non-profit - Private
+26863,UNIVERSITY OF MICHIGAN HEALTH SYSTEM,"1500 E MEDICAL CENTER DRIVE, SPC 5474",ANN ARBOR,MI,48109,WASHTENAW,(734) 764-1505,Acute Care Hospitals,Voluntary non-profit - Private
+33580,"MERCY HOSPITAL HEALDTON, INC.",3462 HOSPITAL RD,HEALDTON,OK,73438,CARTER,(580) 229-0701,Critical Access Hospitals,Voluntary non-profit - Private
+31197,ORTHOPAEDIC HOSPITAL AT PARKVIEW NORTH LLC,11130 PARKVIEW CIRCLE DR,FORT WAYNE,IN,46845,ALLEN,(260) 672-4050,Acute Care Hospitals,Voluntary non-profit - Private
+38242,ST VINCENT NEIGHBORHOOD HOSPITAL,9613 EAST US HIGHWAY 36,AVON,IN,46123,HENDRICKS,(317) 703-1999,Acute Care Hospitals,Proprietary
+17826,STILLWATER BILLINGS CLINIC,710 N 11TH ST,COLUMBUS,MT,59019,STILLWATER,(406) 322-5316,Critical Access Hospitals,Voluntary non-profit - Private
+27793,CHICAGO BEHAVIORAL HOSPITAL,555 WILSON LANE,DES PLAINES,IL,60016,COOK,(847) 768-5430,Psychiatric,Proprietary
+28017,NAVARRO REGIONAL HOSPITAL,3201 WEST HIGHWAY 22,CORSICANA,TX,75110,NAVARRO,(903) 654-6800,Acute Care Hospitals,Government - Hospital District or Authority
+83381,ADVOCATE GOOD SHEPHERD HOSPITAL,450 WEST HIGHWAY 22,BARRINGTON,IL,60010,LAKE,(847) 381-9600,Acute Care Hospitals,Voluntary non-profit - Church
+80255,RIDGEVIEW SIBLEY MEDICAL CENTER,601 WEST CHANDLER,ARLINGTON,MN,55307,SIBLEY,(507) 964-8415,Critical Access Hospitals,Voluntary non-profit - Private
+63713,P H S INDIAN HOSPITAL CROW / NORTHERN CHEYENNE,"1010 SOUTH 7650 EAST, POST OFFICE BOX 9",CROW AGENCY,MT,59022,BIG HORN,(406) 638-2626,Critical Access Hospitals,Government - Federal
+33111,WAYNE GENERAL HOSPITAL,950 MATTHEW DR,WAYNESBORO,MS,39367,WAYNE,(601) 735-5151,Acute Care Hospitals,Government - Local
+31275,ST LUKE'S WARREN HOSPITAL,185 ROSEBERRY ST,PHILLIPSBURG,NJ,8865,WARREN,(908) 847-6700,Acute Care Hospitals,Voluntary non-profit - Other
+37392,LOYOLA GOTTLIEB MEMORIAL HOSPITAL,701 WEST NORTH AVE,MELROSE PARK,IL,60160,COOK,(708) 681-3200,Acute Care Hospitals,Voluntary non-profit - Private
+55735,SAMPSON REGIONAL MEDICAL CENTER,607 BEAMAN ST,CLINTON,NC,28328,SAMPSON,(910) 592-8511,Acute Care Hospitals,Government - Local
+76723,FAIRMOUNT BEHAVIORAL HEALTH SYSTEM,561 FAIRTHORNE AVENUE,PHILADELPHIA,PA,19128,PHILADELPHIA,(215) 487-4000,Psychiatric,Proprietary
+19278,UMD PRINCE GEORGE'S HOSPITAL CTR,3001 HOSPITAL DRIVE,CHEVERLY,MD,20785,PRINCE GEORGES,(301) 618-2000,Acute Care Hospitals,Voluntary non-profit - Private
+69505,ST FRANCIS MEMORIAL HOSPITAL,430 NORTH MONITOR ST,WEST POINT,NE,68788,CUMING,(402) 372-2404,Critical Access Hospitals,Voluntary non-profit - Private
+53959,SCHEURER HOSPITAL,170 N CASEVILLE RD,PIGEON,MI,48755,HURON,(989) 453-3223,Critical Access Hospitals,Voluntary non-profit - Other
+89621,LINCOLN COUNTY HOSPITAL,624 N SECOND,LINCOLN,KS,67455,LINCOLN,(785) 524-4403,Critical Access Hospitals,Government - Local
+57887,ST LUKE'S NAMPA MEDICAL CENTER,9850 W ST LUKES DRIVE STE 250,NAMPA,ID,83687,CANYON,(208) 505-2000,Acute Care Hospitals,Voluntary non-profit - Private
+84961,ST JOSEPH HOSPITAL,2901 SQUALICUM PARKWAY,BELLINGHAM,WA,98225,WHATCOM,(360) 734-5400,Acute Care Hospitals,Voluntary non-profit - Other
+18937,MAYO CLINIC HEALTH SYSTEM IN EAU CLAIRE,1221 WHIPPLE ST,EAU CLAIRE,WI,54703,EAU CLAIRE,(715) 838-3311,Acute Care Hospitals,Voluntary non-profit - Private
+89964,EASTSIDE MEDICAL CENTER,1700 MEDICAL WAY,SNELLVILLE,GA,30078,GWINNETT,(770) 736-2498,Acute Care Hospitals,Proprietary
+66100,ADVENTIST HEALTH VALLEJO,525 OREGON ST,VALLEJO,CA,94590,SOLANO,(707) 648-2200,Psychiatric,Voluntary non-profit - Private
+52553,ELKVIEW GENERAL HOSPITAL,429 WEST ELM STREET,HOBART,OK,73651,KIOWA,(580) 726-3324,Acute Care Hospitals,Government - Hospital District or Authority
+43735,MENDOTA MENTAL HEALTH INSTITUTE,301 TROY DR,MADISON,WI,53704,DANE,(608) 301-1000,Psychiatric,Government - State
+28203,ST JOHN OWASSO,12451 EAST 100TH STREET NORTH,OWASSO,OK,74055,TULSA,(918) 274-5100,Acute Care Hospitals,Voluntary non-profit - Private
+68617,AUDUBON COUNTY MEMORIAL HOSPITAL,515 PACIFIC AVENUE,AUDUBON,IA,50025,AUDUBON,(712) 563-2611,Critical Access Hospitals,Government - Local
+81846,CHRISTUS ST FRANCES CABRINI HOSPITAL,3330 MASONIC DRIVE,ALEXANDRIA,LA,71301,RAPIDES,(318) 487-1122,Acute Care Hospitals,Voluntary non-profit - Private
+14041,INDIANA UNIVERSITY HEALTH WHITE MEMORIAL HOSPITAL,720 SOUTH SIXTH ST,MONTICELLO,IN,47960,WHITE,(574) 583-7111,Critical Access Hospitals,Voluntary non-profit - Private
+54682,CENTRAL MONTANA MEDICAL CENTER,408 WENDELL AVE,LEWISTOWN,MT,59457,FERGUS,(406) 535-7711,Critical Access Hospitals,Voluntary non-profit - Private
+28603,NEW ENGLAND BAPTIST HOSPITAL,125 PARKER HILL AVENUE,BOSTON,MA,2120,SUFFOLK,(617) 754-5800,Acute Care Hospitals,Voluntary non-profit - Private
+21303,SPARROW CARSON HOSPITAL,406 EAST ELM ST,CARSON CITY,MI,48811,MONTCALM,(989) 584-3131,Acute Care Hospitals,Voluntary non-profit - Other
+80462,TEXAS HEALTH PRESBYTERIAN HOSPITAL KAUFMAN,850 ED HALL,KAUFMAN,TX,75142,KAUFMAN,(972) 932-7200,Acute Care Hospitals,Voluntary non-profit - Private
+16435,RIDGEVIEW INSTITUTE MONROE,709 BREEDLOVE DRIVE,MONROE,GA,30655,WALTON,(678) 635-8730,Psychiatric,Proprietary
+53555,BLUEGRASS COMMUNITY HOSPITAL,360 AMSDEN AVENUE,VERSAILLES,KY,40383,WOODFORD,(859) 873-3111,Critical Access Hospitals,Proprietary
+50714,AVERA FLANDREAU HOSPITAL - CAH,214 NORTH PRAIRIE STREET,FLANDREAU,SD,57028,MOODY,(605) 997-2433,Critical Access Hospitals,Voluntary non-profit - Private
+70756,BAPTIST MEMORIAL HOSPITAL NORTH MS,1100 BELK BLVD,OXFORD,MS,38655,LAFAYETTE,(662) 232-8100,Acute Care Hospitals,Voluntary non-profit - Private
+28394,ESSENTIA HEALTH ST MARYS - DETROIT LAKES,1027 WASHINGTON AVE,DETROIT LAKES,MN,56501,BECKER,(218) 847-0888,Acute Care Hospitals,Voluntary non-profit - Church
+58619,SOUTHEAST GEORGIA HEALTH SYSTEM- BRUNSWICK CAMPUS,2415 PARKWOOD DRIVE,BRUNSWICK,GA,31520,GLYNN,(912) 466-7000,Acute Care Hospitals,Government - Hospital District or Authority
+78297,ST MARY'S HOSPITAL,1230 BAXTER STREET,ATHENS,GA,30606,CLARKE,(706) 389-3930,Acute Care Hospitals,Voluntary non-profit - Private
+26161,TORRANCE MEMORIAL MEDICAL CENTER,3330 LOMITA BLVD,TORRANCE,CA,90509,LOS ANGELES,(310) 325-9110,Acute Care Hospitals,Voluntary non-profit - Other
+46092,ST MARY'S MEDICAL CENTER,901 45TH ST,WEST PALM BEACH,FL,33407,PALM BEACH,(561) 840-6202,Acute Care Hospitals,Proprietary
+19965,MERCY GILBERT MEDICAL CENTER,3555 SOUTH VAL VISTA DRIVE,GILBERT,AZ,85297,MARICOPA,(480) 728-8000,Acute Care Hospitals,Voluntary non-profit - Church
+30162,SOUTH FLORIDA BAPTIST HOSPITAL,301 N ALEXANDER ST,PLANT CITY,FL,33563,HILLSBOROUGH,(813) 757-1200,Acute Care Hospitals,Voluntary non-profit - Private
+78159,CENTRACARE HEALTH SYSTEM - MELROSE HOSPITAL,525 WEST MAIN STREET,MELROSE,MN,56352,STEARNS,(320) 256-1761,Critical Access Hospitals,Voluntary non-profit - Private
+56954,GRIFFIN MEMORIAL HOSPITAL,900 EAST MAIN STREET,NORMAN,OK,73070,CLEVELAND,(405) 321-4880,Psychiatric,Government - State
+71854,FAULKTON AREA MEDICAL CENTER,1300 OAK STREET  POST OFFICE BOX 100,FAULKTON,SD,57438,FAULK,(605) 598-6262,Critical Access Hospitals,Voluntary non-profit - Private
+93674,REX HOSPITAL,4420 LAKE BOONE TRAIL,RALEIGH,NC,27607,WAKE,(919) 784-3100,Acute Care Hospitals,Government - State
+62170,KANE COUNTY HOSPITAL,355 NORTH MAIN STREET,KANAB,UT,84741,KANE,(435) 644-5811,Critical Access Hospitals,Government - Hospital District or Authority
+15414,JOHN T MATHER MEMORIAL HOSPITAL  OF PORT JEFFERSON,75 NORTH COUNTRY ROAD,PORT JEFFERSON,NY,11777,SUFFOLK,(631) 473-1320,Acute Care Hospitals,Voluntary non-profit - Private
+26836,STONESPRINGS HOSPITAL CENTER,24440 STONE SPRINGS BOULEVARD,DULLES,VA,20166,LOUDOUN,(571) 349-4000,Acute Care Hospitals,Proprietary
+18367,NOCONA GENERAL HOSPITAL,100 PARK ROAD,NOCONA,TX,76255,MONTAGUE,(940) 825-3235,Acute Care Hospitals,Government - Hospital District or Authority
+48070,METROHEALTH SYSTEM,2500 METROHEALTH DRIVE,CLEVELAND,OH,44109,CUYAHOGA,(216) 778-7089,Acute Care Hospitals,Voluntary non-profit - Other
+10020,ST FRANCIS MEDICAL CENTER,309 JACKSON STREET,MONROE,LA,71201,OUACHITA,(318) 966-4000,Acute Care Hospitals,Voluntary non-profit - Private
+81090,ESSENTIA HEALTH HOLY TRINITY HOSPITAL,"115  SECOND STREET WEST, BOX 157",GRACEVILLE,MN,56240,BIG STONE,(320) 748-8200,Critical Access Hospitals,Voluntary non-profit - Private
+65915,NATIONAL JEWISH HEALTH,1400 JACKSON ST,DENVER,CO,80206,DENVER,(303) 388-4461,Acute Care Hospitals,Voluntary non-profit - Private
+22774,SANFORD BEHAVIORAL HEALTH CENTER,120 LABREE AVENUE SOUTH,THIEF RIVER FALLS,MN,56701,PENNINGTON,(218) 681-4240,Psychiatric,Voluntary non-profit - Private
+93497,BERKELEY MEDICAL CENTER,2500 HOSPITAL DRIVE,MARTINSBURG,WV,25401,BERKELEY,(304) 264-1000,Acute Care Hospitals,Voluntary non-profit - Private
+59207,OTTAWA COUNTY HEALTH CENTER,215 E 8TH STREET,MINNEAPOLIS,KS,67467,OTTAWA,(785) 392-2122,Critical Access Hospitals,Voluntary non-profit - Other
+25491,JACKSON HOSPITAL & CLINIC INC,1725 PINE STREET,MONTGOMERY,AL,36106,MONTGOMERY,(334) 293-8000,Acute Care Hospitals,Voluntary non-profit - Private
+76618,JEANES HOSPITAL,7600 CENTRAL AVENUE,PHILADELPHIA,PA,19111,PHILADELPHIA,(215) 728-2000,Acute Care Hospitals,Voluntary non-profit - Private
+91120,CROCKETT MEDICAL CENTER,1100 E LOOP 304,CROCKETT,TX,75835,HOUSTON,(936) 546-3890,Critical Access Hospitals,Proprietary
+35103,EASTERN STATE HOSPITAL,850 MAPLE STREET - P O BOX  A,MEDICAL LAKE,WA,99022,SPOKANE,(509) 565-4000,Psychiatric,Government - State
+93597,JANE TODD CRAWFORD HOSPITAL,202-206 MILBY STREET,GREENSBURG,KY,42743,GREEN,(270) 932-4211,Critical Access Hospitals,Voluntary non-profit - Private
+33257,YUMA REGIONAL MEDICAL CENTER,2400 SOUTH AVENUE A,YUMA,AZ,85364,YUMA,(928) 336-7600,Acute Care Hospitals,Voluntary non-profit - Private
+52772,HIMA SAN PABLO-CAGUAS,AVE LUIS MUNOZ MARIN,CAGUAS,PR,725,CAGUAS,(787) 653-3434,Acute Care Hospitals,Proprietary
+17682,ACADIA GENERAL HOSPITAL,1305 CROWLEY RAYNE HIGHWAY,CROWLEY,LA,70526,ACADIA,(337) 783-3222,Acute Care Hospitals,Voluntary non-profit - Private
+81512,SIOUX FALLS SPECIALTY HOSPITAL LLP,910 EAST 20TH STREET,SIOUX FALLS,SD,57105,MINNEHAHA,(605) 334-6730,Acute Care Hospitals,Proprietary
+33291,OVIEDO MEDICAL CENTER,8300 RED BUG LAKE RD,OVIEDO,FL,32765,SEMINOLE,(407) 890-2100,Acute Care Hospitals,Proprietary
+56377,ATCHISON HOSPITAL,800 RAVIN HILL DRIVE,ATCHISON,KS,66002,ATCHISON,(913) 360-5581,Critical Access Hospitals,Voluntary non-profit - Private
+32140,BENEFIS TETON MEDICAL CENTER,915 4TH ST NW,CHOTEAU,MT,59422,TETON,(406) 466-5763,Critical Access Hospitals,Voluntary non-profit - Private
+65464,FRANKLIN WOODS COMMUNITY HOSPITAL,300 MED TECH PARKWAY,JOHNSON CITY,TN,37604,WASHINGTON,(423) 302-1120,Acute Care Hospitals,Voluntary non-profit - Private
+50959,TRIHEALTH EVENDALE HOSPITAL,3155 GLENDALE MILFORD ROAD,CINCINNATI,OH,45241,HAMILTON,(513) 454-2222,Acute Care Hospitals,Voluntary non-profit - Private
+62553,MIDDLESBORO APPALACHIAN REGIONAL HEALTHCARE HOSPIT,3600 WEST CUMBERLAND AVENUE,MIDDLESBORO,KY,40965,BELL,(606) 242-1100,Acute Care Hospitals,Voluntary non-profit - Private
+63448,REHOBOTH MCKINLEY CHRISTIAN HEALTH CARE SERVICES,1901 RED ROCK DRIVE,GALLUP,NM,87301,MCKINLEY,(505) 863-7000,Acute Care Hospitals,Voluntary non-profit - Private
+13596,BAYLOR SCOTT AND WHITE SURGICAL HOSPITAL AT SHERMA,3601 CALAIS DRIVE,SHERMAN,TX,75090,GRAYSON,(903) 813-3728,Acute Care Hospitals,Physician
+78535,"OKLAHOMA SURGICAL HOSPITAL, LLC","2408 EAST 81ST STREET, SUITE 300",TULSA,OK,74137,TULSA,(918) 477-5095,Acute Care Hospitals,Physician
+61924,CEDAR-SINAI MARINA DEL REY HOSPITAL,4650 LINCOLN BLVD,MARINA DEL REY,CA,90291,LOS ANGELES,(310) 823-8911,Acute Care Hospitals,Proprietary
+47188,UNION COUNTY HOSPITAL,517 NORTH MAIN STREET,ANNA,IL,62906,UNION,(618) 833-4511,Critical Access Hospitals,Proprietary
+63054,VERNON MEMORIAL HOSPITAL,507 SOUTH MAIN ST,VIROQUA,WI,54665,VERNON,(608) 637-2101,Critical Access Hospitals,Voluntary non-profit - Private
+28941,MAIN LINE HOSPITAL BRYN MAWR CAMPUS,130 SOUTH BRYN MAWR AVE,BRYN MAWR,PA,19010,MONTGOMERY,(610) 526-3000,Acute Care Hospitals,Voluntary non-profit - Private
+23488,UNITY HOSPITAL OF ROCHESTER,1555 LONG POND ROAD,ROCHESTER,NY,14626,MONROE,(585) 723-7000,Acute Care Hospitals,Voluntary non-profit - Private
+52768,NASH GENERAL HOSPITAL,2460 CURTIS ELLIS DRIVE,ROCKY MOUNT,NC,27804,NASH,(252) 443-8000,Acute Care Hospitals,Government - Hospital District or Authority
+84256,METHODIST HOSPITAL,8303 DODGE ST,OMAHA,NE,68114,DOUGLAS,(402) 354-4000,Acute Care Hospitals,Voluntary non-profit - Private
+39517,SAN JUAN CAPESTRANO  HOSPITAL INC,CARR 877 KM 1 6 CAMINO LAS LOMAS RR2,RIO PIEDRAS,PR,928,SAN JUAN,(787) 765-2900,Psychiatric,Proprietary
+61185,COX MONETT HOSPITAL,801 NORTH LINCOLN AVENUE,MONETT,MO,65708,BARRY,(417) 354-1400,Critical Access Hospitals,Voluntary non-profit - Private
+70678,HIGHLAND SPRINGS,4199 MILL POND DRIVE,BEACHWOOD,OH,44122,CUYAHOGA,(216) 302-3070,Psychiatric,Proprietary
+73640,NORTH CADDO MEDICAL CENTER,815 SOUTH PINE STREET,VIVIAN,LA,71082,CADDO,(318) 375-3235,Critical Access Hospitals,Government - Hospital District or Authority
+51316,SANFORD MEDICAL CENTER WHEATON,401 12TH STREET NORTH,WHEATON,MN,56296,TRAVERSE,(320) 563-8226,Critical Access Hospitals,Voluntary non-profit - Private
+23287,"PARK CENTER, INC",1909 CAREW STREET,FORT WAYNE,IN,46805,ALLEN,(260) 481-2700,Psychiatric,Voluntary non-profit - Private
+28362,CARILION FRANKLIN MEMORIAL HOSPITAL,180 FLOYD AVENUE,ROCKY MOUNT,VA,24151,FRANKLIN,(540) 483-5277,Acute Care Hospitals,Voluntary non-profit - Private
+63370,PEMISCOT COUNTY MEMORIAL HOSPITAL,946 EAST REED,HAYTI,MO,63851,PEMISCOT,(573) 359-1372,Acute Care Hospitals,Government - Local
+61128,SYRINGA GENERAL HOSPITAL,607 W MAIN STREET,GRANGEVILLE,ID,83530,IDAHO,(208) 983-1700,Critical Access Hospitals,Government - Hospital District or Authority
+82769,MERCYONE CENTERVILLE MEDICAL CENTER,ONE ST JOSEPH'S DRIVE,CENTERVILLE,IA,52544,APPANOOSE,(641) 437-4111,Critical Access Hospitals,Voluntary non-profit - Private
+57000,MANHATTAN PSYCHIATRIC CENTER,WARD'S ISLAND,NEW YORK,NY,10035,NEW YORK,(212) 369-0500,Psychiatric,Government - State
+26336,UW MEDICINE/NORTHWEST HOSPITAL,1550 NORTH 115TH STREET,SEATTLE,WA,98133,KING,(206) 368-1700,Acute Care Hospitals,Voluntary non-profit - Other
+31975,JERSEY SHORE UNIVERSITY MEDICAL CENTER,1945 RTE 33,NEPTUNE,NJ,7754,MONMOUTH,(732) 775-5500,Acute Care Hospitals,Voluntary non-profit - Private
+70618,MUSC MEDICAL CENTER,169 ASHLEY AVE,CHARLESTON,SC,29425,CHARLESTON,(843) 792-2300,Acute Care Hospitals,Government - State
+41144,MENTAL HEALTH INSTITUTE,1251 NORTH CEDAR LOOP,CHEROKEE,IA,51012,CHEROKEE,(712) 225-2594,Psychiatric,Government - State
+57615,MOBRIDGE REGIONAL HOSPITAL - CAH,1401 10TH AVE WEST,MOBRIDGE,SD,57601,WALWORTH,(605) 845-3692,Critical Access Hospitals,Voluntary non-profit - Private
+13721,LOVELACE WOMEN'S HOSPITAL,4701 MONTGOMERY BOULEVARD NE,ALBUQUERQUE,NM,87109,BERNALILLO,(505) 727-7805,Acute Care Hospitals,Government - State
+80417,ABBEVILLE GENERAL HOSPITAL,118 N HOSPITAL DR,ABBEVILLE,LA,70510,VERMILION,(337) 893-5466,Acute Care Hospitals,Government - Hospital District or Authority
+84131,NORTHWEST MEDICAL CENTER,1530 U S HIGHWAY 43,WINFIELD,AL,35594,FAYETTE,(205) 487-7736,Acute Care Hospitals,Proprietary
+78002,SHARON HOSPITAL,50 HOSPITAL HILL ROAD,SHARON,CT,6069,LITCHFIELD,(860) 364-4228,Acute Care Hospitals,Proprietary
+78350,SAINT MICHAEL'S MEDICAL CENTER,111 CENTRAL AVENUE,NEWARK,NJ,7102,ESSEX,(973) 877-5350,Acute Care Hospitals,Voluntary non-profit - Private
+37832,CLAY COUNTY MEMORIAL HOSPITAL,310 W SOUTH STREET,HENRIETTA,TX,76365,CLAY,(940) 538-5621,Critical Access Hospitals,Government - Local
+35149,JEFFERSON HEALTHCARE,834 SHERIDAN STREET,PORT TOWNSEND,WA,98368,JEFFERSON,(360) 385-2200,Critical Access Hospitals,Government - Hospital District or Authority
+85448,"MONTGOMERY COUNTY EMERGENCY SERVICE, INC",50 BEECH DRIVE,NORRISTOWN,PA,19403,MONTGOMERY,(610) 279-6100,Psychiatric,Voluntary non-profit - Private
+36436,UPPER CONNECTICUT VALLEY HOSPITAL,181 CORLISS LANE,COLEBROOK,NH,3576,COOS,(603) 237-4971,Critical Access Hospitals,Voluntary non-profit - Private
+26628,ALLEGHENY GENERAL HOSPITAL,320 EAST NORTH AVENUE,PITTSBURGH,PA,15212,ALLEGHENY,(412) 359-3131,Acute Care Hospitals,Voluntary non-profit - Private
+87679,ARBOUR HUMAN RESOURCE INSTITUTE,227 BABCOCK STREET,BROOKLINE,MA,2446,NORFOLK,(617) 731-3200,Psychiatric,Proprietary
+29384,ROLLING PLAINS MEMORIAL HOSPITAL,200 E ARIZONA,SWEETWATER,TX,79556,NOLAN,(325) 235-1701,Acute Care Hospitals,Government - Hospital District or Authority
+27259,NORTH CAROLINA BAPTIST HOSPITAL,MEDICAL CENTER BOULEVARD,WINSTON-SALEM,NC,27157,FORSYTH,(336) 716-2011,Acute Care Hospitals,Voluntary non-profit - Private
+16813,HOULTON REGIONAL HOSPITAL,20 HARTFORD STREET,HOULTON,ME,4730,AROOSTOOK,(207) 532-2900,Critical Access Hospitals,Voluntary non-profit - Private
+72199,DOCTORS' CENTER HOSPITAL SAN JUAN,PDA. 20 C/ SAN RAFAEL # 1395,FERNANDEZ JUNCOS,PR,909,SAN JUAN,(787) 723-2950,Acute Care Hospitals,Proprietary
+64527,NOVATO COMMUNITY HOSPITAL,180 ROWLAND WAY,NOVATO,CA,94945,MARIN,(415) 209-1300,Acute Care Hospitals,Voluntary non-profit - Other
+17301,SALEM MEMORIAL DISTRICT HOSPITAL,"PO BOX 774,",SALEM,MO,65560,DENT,(573) 729-6626,Critical Access Hospitals,Government - Hospital District or Authority
+30380,HACKENSACK MERIDIAN HEALTH PASCACK VALLEY MEDICAL,250 OLD HOOK ROAD,WESTWOOD,NJ,7675,BERGEN,(201) 383-1035,Acute Care Hospitals,Proprietary
+31225,SOUTHSIDE HOSPITAL,301 EAST MAIN STREET,BAY SHORE,NY,11706,SUFFOLK,(631) 968-3000,Acute Care Hospitals,Voluntary non-profit - Private
+27876,BON SECOURS COMMUNITY HOSPITAL,160 EAST MAIN STREET,PORT JERVIS,NY,12771,ORANGE,(845) 856-5351,Acute Care Hospitals,Voluntary non-profit - Church
+37945,KAISER FOUNDATION HOSPITAL - ZION,4647 ZION AVE,SAN DIEGO,CA,92120,SAN DIEGO,(619) 528-5000,Acute Care Hospitals,Voluntary non-profit - Private
+51773,SOUTHERN INYO HOSPITAL,501 EAST LOCUST STREET,LONE PINE,CA,93545,INYO,(760) 876-5501,Critical Access Hospitals,Government - Hospital District or Authority
+31062,AVERA ST MARY'S HOSPITAL,801 E SIOUX,PIERRE,SD,57501,HUGHES,(605) 224-3100,Acute Care Hospitals,Voluntary non-profit - Private
+17146,SAINT LUKE'S SOUTH HOSPITAL,12300 METCALF AVENUE,OVERLAND PARK,KS,66213,JOHNSON,(913) 317-7904,Acute Care Hospitals,Voluntary non-profit - Other
+70854,MEMORIAL HOSPITAL,1454 N COUNTY ROAD 2050 E,CARTHAGE,IL,62321,HANCOCK,(217) 357-8500,Critical Access Hospitals,Voluntary non-profit - Private
+58788,OTTUMWA REGIONAL HEALTH CENTER,1001 E PENNSYLVANIA,OTTUMWA,IA,52501,WAPELLO,(641) 682-7511,Acute Care Hospitals,Proprietary
+15617,DETROIT RECEIVING HOSPITAL & UNIV HEALTH CENTER,4201 ST ANTOINE ST - 2C,DETROIT,MI,48201,WAYNE,(313) 745-3104,Acute Care Hospitals,Proprietary
+85873,NYU WINTHROP HOSPITAL,259 FIRST STREET,MINEOLA,NY,11501,NASSAU,(516) 663-0333,Acute Care Hospitals,Voluntary non-profit - Private
+29621,TROUSDALE MEDICAL CENTER,500 CHURCH STREET,HARTSVILLE,TN,37074,TROUSDALE,(615) 374-2221,Critical Access Hospitals,Voluntary non-profit - Other
+25560,ORTHOINDY HOSPITAL,8400 NORTHWEST BLVD,INDIANAPOLIS,IN,46278,MARION,(317) 956-1000,Acute Care Hospitals,Physician
+52964,SAGEWEST HEALTH CARE,2100 W SUNSET DR,RIVERTON,WY,82501,FREMONT,(307) 856-4161,Acute Care Hospitals,Proprietary
+37163,MARSHFIELD MEDICAL CENTER - EAU CLAIRE,2310 CRAIG RD,EAU CLAIRE,WI,54701,EAU CLAIRE,(833) 883-3262,Acute Care Hospitals,Voluntary non-profit - Private
+77582,PROVIDENCE HEALTH,120 GATEWAY CORPORATE BLVD,COLUMBIA,SC,29203,RICHLAND,(803) 256-5300,Acute Care Hospitals,Proprietary
+47181,HEALTHALLIANCE HOSPITAL BROADWAY CAMPUS,396 BROADWAY,KINGSTON,NY,12401,ULSTER,(914) 331-3131,Acute Care Hospitals,Voluntary non-profit - Private
+86423,CHERRY HOSPITAL,1401 WEST ASH STREET,GOLDSBORO,NC,27530,WAYNE,(919) 731-3203,Psychiatric,Government - State
+50946,NELSON COUNTY HEALTH SYSTEM,200 N MAIN ST,MCVILLE,ND,58254,NELSON,(701) 322-4328,Critical Access Hospitals,Voluntary non-profit - Private
+43412,ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER,350 WEST THOMAS ROAD,PHOENIX,AZ,85013,MARICOPA,(602) 406-5001,Acute Care Hospitals,Voluntary non-profit - Church
+88488,SAINT JAMES HOSPITAL,2500 WEST REYNOLDS STREET,PONTIAC,IL,61764,LIVINGSTON,(815) 842-2828,Acute Care Hospitals,Voluntary non-profit - Church
+55156,"LAKESIDE WOMEN'S HOSPITAL, A MEMBER OF INTEGRIS HE",11200 NORTH PORTLAND AVENUE,OKLAHOMA CITY,OK,73120,OKLAHOMA,(405) 936-1500,Acute Care Hospitals,Physician
+94081,MEMORIAL HERMANN MEMORIAL CITY MEDICAL CENTER,921 GESSNER,HOUSTON,TX,77024,HARRIS,(713) 242-3000,Acute Care Hospitals,Voluntary non-profit - Private
+68198,"ROLLING HILLS HOSPITAL, LLC",1000 ROLLING HILLS LANE,ADA,OK,74820,PONTOTOC,(580) 436-3600,Psychiatric,Proprietary
+73846,WESTERLY HOSPITAL,25 WELLS STREET,WESTERLY,RI,2891,WASHINGTON,(401) 596-6000,Acute Care Hospitals,Voluntary non-profit - Private
+87507,TALLAHATCHIE CRITICAL ACCESS HOSPITAL,201 SOUTH MARKET ST / PO BOX 230,CHARLESTON,MS,38921,TALLAHATCHIE,(662) 647-5535,Critical Access Hospitals,Government - Local
+18609,SACRED HEART HOSPITAL,900 W CLAIREMONT AVE,EAU CLAIRE,WI,54701,EAU CLAIRE,(715) 717-4121,Acute Care Hospitals,Voluntary non-profit - Church
+81816,PERRY COUNTY MEMORIAL HOSPITAL,434 NORTH WEST STREET,PERRYVILLE,MO,63775,PERRY,(573) 547-2530,Critical Access Hospitals,Government - Local
+32448,CARLINVILLE AREA HOSPITAL,20733 N BROAD STREET,CARLINVILLE,IL,62626,MACOUPIN,(217) 854-3141,Critical Access Hospitals,Voluntary non-profit - Private
+49731,KENSINGTON HOSPITAL,136 W DIAMOND STREET,PHILADELPHIA,PA,19122,PHILADELPHIA,(215) 426-8100,Acute Care Hospitals,Voluntary non-profit - Other
+58338,BAPTIST MEDICAL CENTER EAST,400 TAYLOR ROAD,MONTGOMERY,AL,36117,MONTGOMERY,(334) 244-8330,Acute Care Hospitals,Government - Hospital District or Authority
+90122,PRAIRIE VIEW INC,1901 E FIRST STREET PO BOX 467,NEWTON,KS,67114,HARVEY,(316) 284-6400,Psychiatric,Voluntary non-profit - Church
+48459,LEXINGTON MEDICAL CENTER,2720 SUNSET BLVD,WEST COLUMBIA,SC,29169,LEXINGTON,(803) 791-2000,Acute Care Hospitals,Government - Hospital District or Authority
+73296,YAVAPAI REGIONAL MEDICAL CENTER,1003 WILLOW CREEK ROAD,PRESCOTT,AZ,86301,YAVAPAI,(928) 445-2700,Acute Care Hospitals,Voluntary non-profit - Private
+11399,ST JOSEPH'S MEDICAL CENTER OF STOCKTON,1800 N CALIFORNIA ST,STOCKTON,CA,95204,SAN JOAQUIN,(209) 943-2000,Acute Care Hospitals,Voluntary non-profit - Private
+80419,FIVE RIVERS MEDICAL CENTER,2801 MEDICAL CENTER DRIVE,POCAHONTAS,AR,72455,RANDOLPH,(870) 892-6000,Acute Care Hospitals,Government - Local
+17436,OUR LADY OF THE LAKE REGIONAL MEDICAL CENTER,5000 HENNESSY BLVD,BATON ROUGE,LA,70808,E. BATON ROUGE,(225) 765-6565,Acute Care Hospitals,Voluntary non-profit - Church
+91448,METROPOLITAN ST LOUIS PSYCHIATRIC CTR,5351 DELMAR BOULEVARD,SAINT LOUIS,MO,63112,ST. LOUIS CITY,(314) 877-0500,Psychiatric,Government - State
+66835,LEGACY EMANUEL MEDICAL CENTER,2801 N GANTENBEIN AVENUE,PORTLAND,OR,97227,MULTNOMAH,(503) 413-2200,Acute Care Hospitals,Voluntary non-profit - Private
+56883,JOHN H STROGER JR HOSPITAL,1901 W HARRISON ST,CHICAGO,IL,60612,COOK,(312) 864-6000,Acute Care Hospitals,Government - Local
+80165,ALLIANCEHEALTH MADILL,901 S 5TH AVE,MADILL,OK,73446,MARSHALL,(580) 795-3384,Critical Access Hospitals,Proprietary
+19242,673rd Medical Group (Joint Base Elmendorf-Richardson),673 MDG 5955 Zeamer Ave,JBER,AK,99506,ANCHORAGE,(907) 384-1110,Acute Care - Department of Defense,Department of Defense
+75796,JEFFERSON REGIONAL MEDICAL CENTER,1600 WEST 40TH AVENUE,PINE BLUFF,AR,71603,JEFFERSON,(870) 541-7100,Acute Care Hospitals,Voluntary non-profit - Private
+15791,TEXAS HEALTH HARRIS METHODIST HOSPITAL ALLIANCE,10864 TEXAS HEALTH TRAIL,FORT WORTH,TX,76244,TARRANT,(682) 212-2000,Acute Care Hospitals,Voluntary non-profit - Private
+49912,AURORA MEDICAL CENTER BAY AREA,3003 UNIVERSITY DR,MARINETTE,WI,54143,MARINETTE,(715) 735-4200,Acute Care Hospitals,Voluntary non-profit - Private
+54483,PENDER COMMUNITY HOSPITAL,"P O BOX 100, 100 HOSPITAL DRIVE",PENDER,NE,68047,THURSTON,(402) 385-3083,Critical Access Hospitals,Government - Hospital District or Authority
+51758,Tripler AMC (FT Shafter),1 Jarrett White Rd,Honolulu,HI,96859,HONOLULU,(808) 433-2778,Acute Care - Department of Defense,Department of Defense
+80555,TRISTAR HENDERSONVILLE MEDICAL CENTER,355 NEW SHACKLE ISLAND RD,HENDERSONVILLE,TN,37075,SUMNER,(615) 338-1000,Acute Care Hospitals,Proprietary
+41188,WINDHAM COMM MEM HOSP & HATCH HOSP,112 MANSFIELD AVENUE,WILLIMANTIC,CT,6226,WINDHAM,(860) 456-9116,Acute Care Hospitals,Voluntary non-profit - Private
+34849,NORTH ALABAMA MEDICAL CENTER,1701 VETERANS DRIVE,FLORENCE,AL,35630,LAUDERDALE,(256) 768-8400,Acute Care Hospitals,Proprietary
+89805,BROOK LANE HEALTH SERVICES,13215  BROOK LANE DRIVE,HAGERSTOWN,MD,21742,WASHINGTON,(301) 733-0330,Psychiatric,Voluntary non-profit - Private
+92209,STANTON COUNTY HOSPITAL,404 N CHESTNUT,JOHNSON,KS,67855,STANTON,(620) 492-6250,Critical Access Hospitals,Government - Local
+33345,PIEDMONT ATHENS REGIONAL MEDICAL CENTER,1199 PRINCE AVENUE,ATHENS,GA,30606,CLARKE,(706) 475-7000,Acute Care Hospitals,Voluntary non-profit - Other
+56375,BROWARD HEALTH IMPERIAL POINT,6401 N FEDERAL HWY,FORT LAUDERDALE,FL,33308,BROWARD,(954) 776-8500,Acute Care Hospitals,Government - Hospital District or Authority
+61903,WINKLER COUNTY MEMORIAL HOSPITAL,821 JEFFEE DRIVE,KERMIT,TX,79745,WINKLER,(432) 586-5865,Critical Access Hospitals,Government - Local
+68118,FLUSHING HOSPITAL MEDICAL CENTER,45TH AVENUE AND PARSONS BOULEVARD,FLUSHING,NY,11355,QUEENS,(718) 670-5000,Acute Care Hospitals,Voluntary non-profit - Private
+55717,HOLSTON VALLEY MEDICAL CENTER,130 WEST RAVINE ROAD,KINGSPORT,TN,37662,SULLIVAN,(423) 224-4000,Acute Care Hospitals,Voluntary non-profit - Private
+77932,ST LUKE'S JEROME,709 NORTH LINCOLN AVENUE,JEROME,ID,83338,JEROME,(208) 814-9500,Critical Access Hospitals,Voluntary non-profit - Private
+44916,"EUREKA SPRINGS HOSPITAL, LLC",24 NORRIS STREET,EUREKA SPRINGS,AR,72632,CARROLL,(479) 253-7400,Critical Access Hospitals,Proprietary
+38360,ST JOSEPH MEDICAL CENTER,1000 CARONDELET DR,KANSAS CITY,MO,64114,JACKSON,(816) 942-4400,Acute Care Hospitals,Proprietary
+20632,MADISON HOSPITAL,820 THIRD AVENUE,MADISON,MN,56256,LAC QUI PARLE,(320) 598-7536,Critical Access Hospitals,Voluntary non-profit - Private
+37347,MEDINA HOSPITAL,1000 EAST WASHINGTON STREET,MEDINA,OH,44256,MEDINA,(330) 725-1000,Acute Care Hospitals,Voluntary non-profit - Private
+18759,CEDAR COUNTY MEMORIAL HOSPITAL,1401 SOUTH PARK STREET,EL DORADO SPRINGS,MO,64744,CEDAR,(417) 876-2511,Critical Access Hospitals,Government - Local
+81285,NH Beaufort,1 Pinckney Blvd,Beaufort,SC,29902,BEAUFORT,(843) 228-5600,Acute Care - Department of Defense,Department of Defense
+36510,MARK TWAIN MEDICAL CENTER,768 MOUNTAIN RANCH RD,SAN ANDREAS,CA,95249,CALAVERAS,(209) 754-2515,Critical Access Hospitals,Voluntary non-profit - Other
+69102,RAWLINS COUNTY HEALTH CENTER,707 GRANT ST,ATWOOD,KS,67730,RAWLINS,(785) 626-3211,Critical Access Hospitals,Voluntary non-profit - Other
+21669,DILEY RIDGE MEDICAL CENTER,7911 DILEY ROAD,CANAL WINCHESTER,OH,43110,FRANKLIN,(614) 838-7910,Acute Care Hospitals,Voluntary non-profit - Private
+18066,PALOMAR HEALTH DOWNTOWN CAMPUS,555 EAST VALLEY PARKWAY,ESCONDIDO,CA,92025,SAN DIEGO,(760) 739-3000,Acute Care Hospitals,Government - Hospital District or Authority
+61916,TEXAS HEALTH HARRIS METHODIST HOSPITAL SOUTHLAKE,1545 E SOUTHLAKE BLVD,SOUTHLAKE,TX,76092,TARRANT,(817) 748-8700,Acute Care Hospitals,Government - State
+73932,SUMMERS COUNTY ARH HOSPITAL,115 SUMMERS HOSPITAL ROAD,HINTON,WV,25951,SUMMERS,(304) 466-1000,Critical Access Hospitals,Voluntary non-profit - Private
+24535,LAMB HEALTHCARE CENTER,1500 S SUNSET,LITTLEFIELD,TX,79339,LAMB,(806) 385-6411,Acute Care Hospitals,Government - Local
+64735,MOUNT AUBURN HOSPITAL,330 MOUNT AUBURN STREET,CAMBRIDGE,MA,2138,MIDDLESEX,(617) 492-3500,Acute Care Hospitals,Voluntary non-profit - Private
+47554,OCEANS BEHAVIORAL HOSPITAL OF KATY,455 PARK GROVE LANE,KATY,TX,77450,HARRIS,(281) 492-8888,Psychiatric,Proprietary
+47845,MASONICARE HEALTH CENTER,22 MASONIC AVE,WALLINGFORD,CT,6492,NEW HAVEN,(203) 679-5900,Acute Care Hospitals,Voluntary non-profit - Private
+25316,SONORA BEHAVIORAL HEALTH HOSPITAL,6050 NORTH CORONA ROAD,TUCSON,AZ,85704,PIMA,(520) 469-8700,Psychiatric,Proprietary
+77043,LANCASTER BEHAVIORAL HEALTH HOSPITAL,333 HARRISBURG AVENUE,LANCASTER,PA,17603,LANCASTER,(717) 740-4100,Psychiatric,Voluntary non-profit - Other
+49043,SOUTH CAMERON MEMORIAL HOSPITAL,5360 WEST CREOLE HWY,CAMERON,LA,70631,CAMERON,(337) 542-4111,Acute Care Hospitals,Proprietary
+29653,MEMORIAL HOSPITAL LOS BANOS,520 WEST I ST,LOS BANOS,CA,93635,MERCED,(209) 826-0591,Acute Care Hospitals,Voluntary non-profit - Private
+62027,UNIVERSITY HOSPITAL OF BROOKLYN ( DOWNSTATE ),445 LENOX ROAD,BROOKLYN,NY,11203,KINGS,(718) 270-1000,Acute Care Hospitals,Government - State
+83394,PALMETTO LOWCOUNTRY BEHAVIORAL HEALTH,2777 SPEISSEGGER DRIVE,CHARLESTON,SC,29405,CHARLESTON,(843) 747-5830,Psychiatric,Proprietary
+67452,JOHNSTON MEMORIAL HOSPITAL,16000 JOHNSTON MEMORIAL DRIVE,ABINGDON,VA,24211,WASHINGTON,(276) 258-1000,Acute Care Hospitals,Voluntary non-profit - Private
+30238,SOUTHWEST GENERAL HEALTH CENTER,18697 BAGLEY ROAD,MIDDLEBURG HEIGHTS,OH,44130,CUYAHOGA,(440) 816-6701,Acute Care Hospitals,Voluntary non-profit - Private
+27929,ARNOT OGDEN MEDICAL CENTER,600 ROE AVENUE,ELMIRA,NY,14905,CHEMUNG,(607) 737-4100,Acute Care Hospitals,Voluntary non-profit - Private
+69521,RIVERSIDE COMMUNITY HOSPITAL,4445 MAGNOLIA AVENUE,RIVERSIDE,CA,92501,RIVERSIDE,(951) 788-3000,Acute Care Hospitals,Proprietary
+81173,PROVIDENCE ST PETER HOSPITAL,413 LILLY ROAD NE,OLYMPIA,WA,98506,THURSTON,(360) 491-9480,Acute Care Hospitals,Voluntary non-profit - Private
+93556,PALO ALTO COUNTY HOSPITAL,3201 1ST STREET,EMMETSBURG,IA,50536,PALO ALTO,(712) 852-5500,Critical Access Hospitals,Government - Local
+17745,LONE STAR BEHAVIORAL HEALTH CYPRESS,16303 GRANT ROAD,CYPRESS,TX,77429,HARRIS,(281) 516-6186,Psychiatric,Proprietary
+86515,THAYER COUNTY HEALTH SERVICES,120 PARK AVE,HEBRON,NE,68370,THAYER,(402) 768-6041,Critical Access Hospitals,Government - Local
+50529,NIAGARA FALLS MEMORIAL MEDICAL CENTER,621 TENTH STREET,NIAGARA FALLS,NY,14302,NIAGARA,(716) 278-4000,Acute Care Hospitals,Voluntary non-profit - Other
+21805,FAITH COMMUNITY HOSPITAL,215 CHISHOLM TRAIL,JACKSBORO,TX,76458,JACK,(940) 567-6633,Acute Care Hospitals,Government - Hospital District or Authority
+65955,LAKE CITY MEDICAL CENTER,340 NW COMMERCE DR,LAKE CITY,FL,32055,COLUMBIA,(386) 719-9000,Acute Care Hospitals,Proprietary
+22629,WILLAMETTE VALLEY MEDICAL CENTER,2700 SE STRATUS AVE.,MCMINNVILLE,OR,97128,YAMHILL,(503) 472-6131,Acute Care Hospitals,Voluntary non-profit - Private
+16704,EAST LOS ANGELES DOCTORS HOSPITAL,4060 WHITTIER BLVD,LOS ANGELES,CA,90023,LOS ANGELES,(323) 268-5514,Acute Care Hospitals,Proprietary
+60136,"FRANCISCAN HEALTH RENSSELAER, INC",1104 E GRACE ST,RENSSELAER,IN,47978,JASPER,(219) 866-5141,Critical Access Hospitals,Voluntary non-profit - Private
+88936,AURORA LAS ENCINAS HOSPITAL,2900 E DEL MAR BLVD,PASADENA,CA,91107,LOS ANGELES,(866) 279-3709,Psychiatric,Proprietary
+92203,HOOD MEMORIAL HOSPITAL,301 W WALNUT STREET,AMITE,LA,70422,TANGIPAHOA,(985) 748-9485,Critical Access Hospitals,Government - Hospital District or Authority
+74936,KEEFE MEMORIAL HOSPITAL,602 N 6TH W ST,CHEYENNE WELLS,CO,80810,CHEYENNE,(719) 767-5661,Critical Access Hospitals,Government - Hospital District or Authority
+90318,MYRTUE MEDICAL CENTER,1213 GARFIELD AVENUE,HARLAN,IA,51537,SHELBY,(712) 755-5161,Critical Access Hospitals,Voluntary non-profit - Other
+35553,GOUVERNEUR HOSPITAL,77 WEST BARNEY STREET,GOUVERNEUR,NY,13642,ST. LAWRENCE,(315) 287-1000,Critical Access Hospitals,Voluntary non-profit - Private
+86483,BERGER HOSPITAL,600 NORTH PICKAWAY STREET,CIRCLEVILLE,OH,43113,PICKAWAY,(740) 420-8020,Acute Care Hospitals,Government - Local
+74890,GIRARD MEDICAL CENTER,302 NORTH HOSPITAL DRIVE,GIRARD,KS,66743,CRAWFORD,(620) 724-8291,Critical Access Hospitals,Government - Hospital District or Authority
+30843,TANNER MEDICAL CENTER - CARROLLTON,705 DIXIE STREET,CARROLLTON,GA,30117,CARROLL,(770) 836-9580,Acute Care Hospitals,Government - Hospital District or Authority
+70830,SHRINERS HOSPITALS FOR CHILDREN,3100 SAMFORD AVENUE,SHREVEPORT,LA,71103,CADDO,(318) 222-5704,Childrens,Voluntary non-profit - Private
+54808,SCOTLAND COUNTY  HOSPITAL,450 E SIGLER AVENUE,MEMPHIS,MO,63555,SCOTLAND,(660) 465-8511,Critical Access Hospitals,Government - Hospital District or Authority
+87124,ST MARY'S GOOD SAMARITAN HOSPITAL,5401 LAKE OCONEE PARKWAY,GREENSBORO,GA,30642,GREENE,(706) 453-7331,Critical Access Hospitals,Proprietary
+69629,SHARON REGIONAL HEALTH SYSTEM,740 EAST STATE STREET,SHARON,PA,16146,MERCER,(724) 983-3800,Acute Care Hospitals,Proprietary
+65226,SPRING VALLEY HOSPITAL MEDICAL CENTER,5400 SOUTH RAINBOW BLVD,LAS VEGAS,NV,89118,CLARK,(702) 853-3000,Acute Care Hospitals,Proprietary
+54174,MACNEAL  HOSPITAL,3249 SOUTH OAK PARK AVENUE,BERWYN,IL,60402,COOK,(708) 783-9100,Acute Care Hospitals,Proprietary
+84071,ROCHESTER PSYCHIATRIC CENTER,1600 SOUTH AVE,ROCHESTER,NY,14620,MONROE,(585) 241-1200,Psychiatric,Government - Local
+62545,WASHINGTON HOSPITAL,2000 MOWRY AVE,FREMONT,CA,94538,ALAMEDA,(510) 797-1111,Acute Care Hospitals,Government - Hospital District or Authority
+32497,THE VINES HOSPITAL,3130 SW 27TH AVE,OCALA,FL,34474,MARION,(352) 671-3130,Psychiatric,Proprietary
+26303,"BEAUMONT HOSPITAL, TROY",44201 DEQUINDRE ROAD,TROY,MI,48085,OAKLAND,(248) 964-8800,Acute Care Hospitals,Voluntary non-profit - Private
+51390,MARION GENERAL HOSPITAL,441 N WABASH AVE,MARION,IN,46952,GRANT,(765) 660-6000,Acute Care Hospitals,Voluntary non-profit - Private
+10259,KAISER FOUNDATION HOSPITAL - FRESNO,7300 NORTH FRESNO ST,FRESNO,CA,93720,FRESNO,(559) 448-4500,Acute Care Hospitals,Voluntary non-profit - Private
+55124,JOHN D ARCHBOLD MEMORIAL HOSPITAL,915 GORDON AVENUE & MIMOSA DRIVE,THOMASVILLE,GA,31792,THOMAS,(229) 228-2880,Acute Care Hospitals,Voluntary non-profit - Private
+10164,MIDMICHIGAN MEDICAL CENTER-GLADWIN,515 QUARTER STREET,GLADWIN,MI,48624,GLADWIN,(989) 426-9286,Critical Access Hospitals,Voluntary non-profit - Private
+41530,GEORGIA REGIONAL HOSP SAVANNAH,1915 EISENHOWER DRIVE,SAVANNAH,GA,31416,CHATHAM,(912) 356-2045,Psychiatric,Government - State
+75415,SENTARA CAREPLEX HOSPITAL,3000 COLISEUM DRIVE,HAMPTON,VA,23666,HAMPTON CITY,(757) 736-1000,Acute Care Hospitals,Voluntary non-profit - Private
+18032,"HENRY COUNTY HOSPITAL, INC",1600 EAST RIVERVIEW AVENUE,NAPOLEON,OH,43545,HENRY,(419) 592-4015,Critical Access Hospitals,Voluntary non-profit - Private
+55725,LANGLEY PORTER PSYCHIATRIC INSTITUTE,401 PARNASSUS AVENUE,SAN FRANCISCO,CA,94143,SAN FRANCISCO,(415) 476-7000,Psychiatric,Government - State
+86752,HOWARD COUNTY MEDICAL CENTER,"P O BOX 406, 1113 SHERMAN ST",ST PAUL,NE,68873,HOWARD,(308) 754-4421,Critical Access Hospitals,Voluntary non-profit - Other
+56777,ST CLOUD HOSPITAL,1406 6TH AVE NORTH,SAINT CLOUD,MN,56303,STEARNS,(320) 255-5661,Acute Care Hospitals,Voluntary non-profit - Private
+59252,DETAR HEALTHCARE SYSTEM,506 E SAN ANTONIO ST,VICTORIA,TX,77902,VICTORIA,(361) 575-7441,Acute Care Hospitals,Proprietary
+51139,SPARROW IONIA HOSPITAL,3565 S STATE ROAD,IONIA,MI,48846,IONIA,(616) 527-4200,Critical Access Hospitals,Voluntary non-profit - Private
+43357,BILLINGS CLINIC HOSPITAL,2800 10TH AVE N,BILLINGS,MT,59101,YELLOWSTONE,(406) 657-4000,Acute Care Hospitals,Voluntary non-profit - Private
+29216,MAYO CLINIC HEALTH SYSTEM-RED CEDAR,2321 STOUT RD,MENOMONIE,WI,54751,DUNN,(715) 235-5531,Critical Access Hospitals,Voluntary non-profit - Private
+48258,GREENE COUNTY MEDICAL CENTER,1000 WEST LINCOLNWAY,JEFFERSON,IA,50129,GREENE,(515) 386-2114,Critical Access Hospitals,Government - Local
+82614,"BEACON BEHAVIORAL HOSPITAL - NORTHSHORE, INC","64026 HWY 434, SUITE 300 (3RD FLOOR)",LACOMBE,LA,70445,ST. TAMMANY,(985) 882-0226,Psychiatric,Voluntary non-profit - Private
+58638,NYACK HOSPITAL,160 NORTH MIDLAND AVENUE,NYACK,NY,10960,ROCKLAND,(845) 348-2000,Acute Care Hospitals,Voluntary non-profit - Other
+44822,COMMUNITY HOSPITAL,901 MACARTHUR BLVD,MUNSTER,IN,46321,LAKE,(219) 836-1600,Acute Care Hospitals,Voluntary non-profit - Private
+83132,BOSTON MEDICAL CENTER CORPORATION-,1 BOSTON MEDICAL CENTER PLACE,BOSTON,MA,2118,SUFFOLK,(617) 638-8000,Acute Care Hospitals,Voluntary non-profit - Private
+76193,EINSTEIN MEDICAL CENTER MONTGOMERY,559 WEST GERMANTOWN PIKE,EAST NORRITON,PA,19403,MONTGOMERY,(484) 662-1000,Acute Care Hospitals,Voluntary non-profit - Private
+75908,WEST FLORIDA COMMUNITY CARE CENTER,5500 STEWART ST,MILTON,FL,32570,SANTA ROSA,(904) 623-4990,Psychiatric,Government - State
+16306,UNIVERSITY HOSPITALS SAMARITAN MEDICAL CENTER,1025 CENTER ST,ASHLAND,OH,44805,ASHLAND,(419) 289-0491,Acute Care Hospitals,Voluntary non-profit - Other
+87263,SAINT JOSEPH MOUNT STERLING,225 FALCON DRIVE,MOUNT STERLING,KY,40353,MONTGOMERY,(859) 497-5018,Acute Care Hospitals,Voluntary non-profit - Private
+47902,SGMC LANIER CAMPUS,116 WEST THIGPEN AVENUE,LAKELAND,GA,31635,LANIER,(229) 482-8402,Critical Access Hospitals,Government - Hospital District or Authority
+74635,SIMPSON GENERAL HOSPITAL CAH,1842 SIMPSON HIGHWAY 149,MENDENHALL,MS,39114,SIMPSON,(601) 847-2221,Critical Access Hospitals,Voluntary non-profit - Private
+80873,MEDSTAR GOOD SAMARITAN HOSPITAL,5601 LOCH RAVEN BOULEVARD,BALTIMORE,MD,21239,BALTIMORE CITY,(443) 444-3902,Acute Care Hospitals,Voluntary non-profit - Other
+63329,ST LUKES HOSPITAL,1026 A AVE NE,CEDAR RAPIDS,IA,52402,LINN,(319) 369-7211,Acute Care Hospitals,Voluntary non-profit - Private
+25116,HAYWOOD REGIONAL MEDICAL CENTER,262 LEROY GEORGE DRIVE,CLYDE,NC,28721,HAYWOOD,(828) 456-7311,Acute Care Hospitals,Government - Hospital District or Authority
+46977,ESSENTIA HEALTH ST MARY'S HOSPITAL - SUPERIOR,3500 TOWER AVE,SUPERIOR,WI,54880,DOUGLAS,(715) 817-7000,Critical Access Hospitals,Voluntary non-profit - Private
+16696,ST JOSEPH HOSPITAL,172 KINSLEY ST,NASHUA,NH,3060,HILLSBOROUGH,(603) 882-3000,Acute Care Hospitals,Voluntary non-profit - Other
+35098,SAMARITAN ALBANY GENERAL HOSPITAL,1046 6TH AVENUE SW,ALBANY,OR,97321,LINN,(541) 812-4000,Acute Care Hospitals,Voluntary non-profit - Church
+12671,EMANATE HEALTH FOOTHILL PRESBYTERIAN HOSPITAL,250 S GRAND AVE,GLENDORA,CA,91740,LOS ANGELES,(626) 963-8411,Acute Care Hospitals,Voluntary non-profit - Private
+74526,ST LUKES LAKESIDE HOSPITAL,17400 ST LUKES WAY,THE WOODLANDS,TX,77384,MONTGOMERY,(936) 266-4055,Acute Care Hospitals,Voluntary non-profit - Other
+40875,NORTH OAK REGIONAL MEDICAL CENTER,401 GETWELL DR,SENATOBIA,MS,38668,TATE,(662) 562-3100,Acute Care Hospitals,Proprietary
+29752,ST JOHNS MEDICAL CENTER,625 EAST BROADWAY,JACKSON,WY,83001,TETON,(307) 733-3636,Acute Care Hospitals,Government - Hospital District or Authority
+44963,THEDACARE REGIONAL MEDICAL CENTER - NEENAH INC,130 2ND ST,NEENAH,WI,54956,WINNEBAGO,(920) 729-3100,Acute Care Hospitals,Voluntary non-profit - Private
+51431,WEST FLORIDA HOSPITAL,8383 N DAVIS HWY,PENSACOLA,FL,32514,ESCAMBIA,(850) 494-4000,Acute Care Hospitals,Proprietary
+38288,TIPPAH COUNTY HOSPITAL,1005 CITY AVE NORTH,RIPLEY,MS,38663,TIPPAH,(662) 837-9221,Critical Access Hospitals,Government - Local
+48777,ST SIMONS-BY-THE-SEA,2927 DEMERE ROAD,SAINT SIMONS ISLAND,GA,31522,GLYNN,(912) 638-1999,Psychiatric,Government - Federal
+34055,HIGHLANDS BEHAVIORAL HEALTH SYSTEM,8565 S POPLAR WAY,LITTLETON,CO,80130,DOUGLAS,(720) 348-2801,Psychiatric,Proprietary
+14264,WILLIAM W BACKUS HOSPITAL,326 WASHINGTON ST,NORWICH,CT,6360,NEW LONDON,(860) 889-8331,Acute Care Hospitals,Voluntary non-profit - Other
+45174,PENN PRESBYTERIAN MEDICAL CENTER,51 NORTH 39TH STREET,PHILADELPHIA,PA,19104,PHILADELPHIA,(215) 662-8000,Acute Care Hospitals,Voluntary non-profit - Other
+63123,SUTTER SURGICAL HOSPITAL - NORTH VALLEY,455 PLUMAS BLVD,YUBA CITY,CA,95991,SUTTER,(530) 749-5700,Acute Care Hospitals,Physician
+80002,HURLEY MEDICAL CENTER,ONE HURLEY PLAZA,FLINT,MI,48503,GENESEE,(810) 257-9000,Acute Care Hospitals,Voluntary non-profit - Other
+89030,SPRINGHILL MEDICAL CENTER,2001 DOCTORS DRIVE,SPRINGHILL,LA,71075,WEBSTER,(318) 539-1000,Acute Care Hospitals,Voluntary non-profit - Private
+16566,CAMBRIDGE BEHAVIORAL HOSPITAL,66755 STATE STREET,CAMBRIDGE,OH,43725,GUERNSEY,(740) 432-4906,Psychiatric,Proprietary
+83821,COOKEVILLE REGIONAL MEDICAL CENTER,1 MEDICAL CENTER BOULEVARD,COOKEVILLE,TN,38501,PUTNAM,(931) 783-2000,Acute Care Hospitals,Government - Local
+40241,WALTER P REUTHER PSYCHIATRIC HOSPITAL,30901 PALMER RD,WESTLAND,MI,48185,WAYNE,(734) 367-8400,Psychiatric,Government - State
+51869,GLENCOE REGIONAL HEALTH SERVICES,1805 HENNEPIN AVENUE NORTH,GLENCOE,MN,55336,MC LEOD,(320) 864-3121,Critical Access Hospitals,Voluntary non-profit - Other
+91178,SUTTER CENTER FOR PSYCHIATRY,7700 FOLSOM BLVD,SACRAMENTO,CA,95826,SACRAMENTO,(916) 386-3000,Psychiatric,Proprietary
+89268,"MEDICAL CENTER OF AURORA, THE",1501 S POTOMAC ST,AURORA,CO,80012,ARAPAHOE,(303) 873-5511,Acute Care Hospitals,Proprietary
+90411,BAPTIST MEDICAL CENTER JACKSONVILLE,800 PRUDENTIAL DR,JACKSONVILLE,FL,32207,DUVAL,(904) 202-2000,Acute Care Hospitals,Voluntary non-profit - Private
+92118,EVERGREENHEALTH MEDICAL CENTER,12040 NE 128TH STREET,KIRKLAND,WA,98034,KING,(425) 899-1000,Acute Care Hospitals,Government - Hospital District or Authority
+72624,Irwin ACH (FT Riley),600 Caisson Hill Road,Fort Riley,KS,66442,GEARY,(785) 239-7000,Acute Care - Department of Defense,Department of Defense
+63333,RIO GRANDE REGIONAL HOSPITAL,101 E RIDGE RD,MCALLEN,TX,78503,HIDALGO,(956) 632-6000,Acute Care Hospitals,Proprietary
+13602,BOCA RATON REGIONAL HOSPITAL,800 MEADOWS RD,BOCA RATON,FL,33486,PALM BEACH,(561) 362-5002,Acute Care Hospitals,Voluntary non-profit - Private
+21569,AVERA CREIGHTON HOSPITAL,"P O BOX 186, 1503 MAIN ST",CREIGHTON,NE,68729,KNOX,(402) 358-5700,Critical Access Hospitals,Voluntary non-profit - Private
+28245,ODESSA REGIONAL MEDICAL CENTER,520 E 6TH STREET,ODESSA,TX,79761,ECTOR,(432) 582-8340,Acute Care Hospitals,Proprietary
+84472,DRUMRIGHT REGIONAL HOSPITAL,610 WEST BYPASS,DRUMRIGHT,OK,74030,CREEK,(918) 382-2300,Critical Access Hospitals,Proprietary
+14643,MID COAST HOSPITAL,123 MEDICAL CENTER DRIVE,BRUNSWICK,ME,4011,CUMBERLAND,(207) 729-0181,Acute Care Hospitals,Voluntary non-profit - Private
+56185,MORTON HOSPITAL,88 WASHINGTON STREET,TAUNTON,MA,2780,BRISTOL,(508) 828-7000,Acute Care Hospitals,Proprietary
+77906,WALDO COUNTY GENERAL HOSPITAL,118 NORTHPORT AVE,BELFAST,ME,4915,WALDO,(207) 338-2500,Critical Access Hospitals,Voluntary non-profit - Private
+43809,PALMS OF PASADENA HOSPITAL,1501 PASADENA AVE S,SAINT PETERSBURG,FL,33707,PINELLAS,(727) 381-1000,Acute Care Hospitals,Proprietary
+44538,HENRICO DOCTORS' HOSPITAL,1602 SKIPWITH ROAD,RICHMOND,VA,23229,HENRICO,(804) 289-4500,Acute Care Hospitals,Voluntary non-profit - Other
+66063,SSM HEALTH ST MARY'S HOSPITAL -CENTRALIA,400 NORTH PLEASANT AVENUE,CENTRALIA,IL,62801,MARION,(618) 436-8000,Acute Care Hospitals,Voluntary non-profit - Church
+83165,BAPTIST HEALTH MADISONVILLE,900 HOSPITAL DRIVE,MADISONVILLE,KY,42431,HOPKINS,(270) 825-5100,Acute Care Hospitals,Voluntary non-profit - Private
+45772,UNITED METHODIST BEHAVIORAL HOSPITAL,1601 MURPHY DRIVE,MAUMELLE,AR,72113,PULASKI,(501) 803-3388,Psychiatric,Voluntary non-profit - Private
+71831,MEMORIAL COMMUNITY HOSPITAL MCH & HEALTH SYSTEM,810 NORTH 22ND ST,BLAIR,NE,68008,WASHINGTON,(402) 426-1502,Critical Access Hospitals,Voluntary non-profit - Private
+50456,COLISEUM NORTHSIDE HOSPITAL,400 CHARTER BOULEVARD,MACON,GA,31210,BIBB,(478) 757-8200,Acute Care Hospitals,Proprietary
+42129,LEE'S SUMMIT MEDICAL CENTER,2100 SE BLUE PARKWAY,LEES SUMMIT,MO,64063,JACKSON,(816) 282-5000,Acute Care Hospitals,Proprietary
+78240,ADAIR COUNTY MEMORIAL HOSPITAL,609 SE KENT,GREENFIELD,IA,50849,ADAIR,(641) 743-2123,Critical Access Hospitals,Government - Local
+76338,FRENCH HOSPITAL MEDICAL CENTER,1911 JOHNSON AVE,SAN LUIS OBISPO,CA,93401,SAN LUIS OBISPO,(805) 543-5353,Acute Care Hospitals,Voluntary non-profit - Private
+79293,FAYETTE COUNTY MEMORIAL HOSPITAL,1430 COLUMBUS AVENUE,WASHINGTON CH,OH,43160,FAYETTE,(740) 335-1210,Critical Access Hospitals,Government - Local
+43046,OAKDALE COMMUNITY HOSPITAL,130 N HOSPITAL DR,OAKDALE,LA,71463,ALLEN,(318) 335-3700,Acute Care Hospitals,Proprietary
+32310,CAPITAL REGIONAL MEDICAL CENTER,2626 CAPITAL MEDICAL BLVD,TALLAHASSEE,FL,32308,LEON,(850) 656-5000,Acute Care Hospitals,Proprietary
+14180,YUMA DISTRICT HOSPITAL,1000 W 8TH AVE,YUMA,CO,80759,YUMA,(970) 848-5405,Critical Access Hospitals,Government - Hospital District or Authority
+14566,HILLCREST HOSPITAL PRYOR,111 NORTH BAILEY STREET,PRYOR,OK,74361,MAYES,(918) 825-1600,Acute Care Hospitals,Proprietary
+43751,UNIVERSITY OF KANSAS HLTH SYSTEM ST FRANCIS CAMPUS,1700 SW 7TH STREET,TOPEKA,KS,66606,SHAWNEE,(785) 295-8000,Acute Care Hospitals,Voluntary non-profit - Church
+85137,CLEVELAND EMERGENCY HOSPITAL,1017 S TRAVIS AVE,CLEVELAND,TX,77327,LIBERTY,(281) 592-5400,Acute Care Hospitals,Proprietary
+52855,WITHAM HEALTH SERVICES,2605 N LEBANON ST,LEBANON,IN,46052,BOONE,(765) 485-8000,Acute Care Hospitals,Government - Local
+34779,CLEARWATER VALLEY HOSPITAL & CLINICS,301 CEDAR STREET,OROFINO,ID,83544,CLEARWATER,(208) 476-4555,Critical Access Hospitals,Voluntary non-profit - Private
+48050,FAIRCHILD MEDICAL CENTER,444 BRUCE STREET,YREKA,CA,96097,SISKIYOU,(530) 842-4121,Critical Access Hospitals,Voluntary non-profit - Other
+58501,UNIVERSITY  OF KS HLTH SYSTEM GREAT BEND CAMPUS,514 CLEVELAND STREET,GREAT BEND,KS,67530,BARTON,(620) 792-8833,Acute Care Hospitals,Proprietary
+16654,LEWISGALE HOSPITAL PULASKI,2400 LEE HIGHWAY,PULASKI,VA,24301,PULASKI,(540) 994-8100,Acute Care Hospitals,Proprietary
+74365,SPECTRUM HEALTH GERBER MEMORIAL,212 S SULLIVAN ST,FREMONT,MI,49412,NEWAYGO,(231) 924-3300,Critical Access Hospitals,Voluntary non-profit - Private
+75194,UNM SANDOVAL REGIONAL MEDICAL CENTER,3001 BROADMOOR BLVD NE,RIO RANCHO,NM,87144,SANDOVAL,(505) 994-7402,Acute Care Hospitals,Voluntary non-profit - Private
+80290,HIMA SAN PABLO CUPEY,CARR 844 KM 5 CUPEY BAJO,SAN JUAN,PR,928,SAN JUAN,(787) 761-8383,Acute Care Hospitals,Proprietary
+75835,RONALD REAGAN U C L A MEDICAL CENTER,757 WESTWOOD PLAZA,LOS ANGELES,CA,90095,LOS ANGELES,(310) 825-6301,Acute Care Hospitals,Government - State
+85872,NORTHEAST REGIONAL MEDICAL CENTER,315 S OSTEOPATHY,KIRKSVILLE,MO,63501,ADAIR,(660) 785-1000,Acute Care Hospitals,Proprietary
+11475,MEDSTAR HARBOR HOSPITAL,3001 SOUTH  HANOVER STREET,BALTIMORE,MD,21225,BALTIMORE CITY,(410) 350-3201,Acute Care Hospitals,Voluntary non-profit - Private
+11153,COMANCHE COUNTY MEDICAL CENTER,10201 HWY 16,COMANCHE,TX,76442,COMANCHE,(254) 879-4900,Critical Access Hospitals,Voluntary non-profit - Private
+49367,PORTERVILLE DEVELOPMENTAL CENTER,26501 AVENUE 140,PORTERVILLE,CA,93257,TULARE,(559) 782-2222,Acute Care Hospitals,Government - State
+81560,HCA HOUSTON HEALTHCARE CONROE,504 MEDICAL CENTER BLVD,CONROE,TX,77304,MONTGOMERY,(936) 539-1111,Acute Care Hospitals,Proprietary
+71440,MEMORIAL HOSPITAL,209 NORTHWEST 8TH STREET,SEMINOLE,TX,79360,GAINES,(432) 758-4854,Critical Access Hospitals,Government - Hospital District or Authority
+28107,Dwight Eisenhower AMC (FT Gordon),300 East Hospital Road,Fort Gordon,GA,30905,RICHMOND,(706) 787-5811,Acute Care - Department of Defense,Department of Defense
+85308,MORTON COUNTY HOSPITAL,445 N HILLTOP,ELKHART,KS,67950,MORTON,(620) 697-2141,Acute Care Hospitals,Government - Local
+65512,BEAUMONT HOSPITAL - DEARBORN,18101 OAKWOOD BLVD,DEARBORN,MI,48124,WAYNE,(313) 593-7125,Acute Care Hospitals,Voluntary non-profit - Private
+94673,MERCY MEDICAL CENTER REDDING,"2175 ROSALINE AVE, CLAIRMONT HGTS",REDDING,CA,96001,SHASTA,(530) 225-6102,Acute Care Hospitals,Voluntary non-profit - Private
+11042,RIDGEVIEW PSYCHIATRIC HOSPITAL AND CENTER,240 W TYRONE RD,OAK RIDGE,TN,37830,ANDERSON,(865) 482-1076,Psychiatric,Voluntary non-profit - Private
+78177,"MARY WASHINGTON HOSPITAL, INC",1001 SAM PERRY BOULEVARD,FREDERICKSBURG,VA,22401,FREDERICKSBURG CITY,(540) 741-1100,Acute Care Hospitals,Voluntary non-profit - Private
+18221,MCKENZIE HEALTH SYSTEM,120 N DELAWARE STREET,SANDUSKY,MI,48471,SANILAC,(810) 648-3770,Critical Access Hospitals,Voluntary non-profit - Private
+90535,ANTELOPE MEMORIAL HOSPITAL,"P O BOX 229, 102 WEST 9TH ST",NELIGH,NE,68756,ANTELOPE,(402) 887-4151,Critical Access Hospitals,Voluntary non-profit - Private
+39840,MONROE COUNTY HOSPITAL,6580 165TH STREET,ALBIA,IA,52531,MONROE,(641) 932-2134,Critical Access Hospitals,Voluntary non-profit - Other
+31951,ORANGE CITY AREA HEALTH SYSTEM,1000 LINCOLN CIRCLE SE,ORANGE CITY,IA,51041,SIOUX,(712) 737-4984,Critical Access Hospitals,Voluntary non-profit - Other
+74288,LINCOLN TRAIL BEHAVIORAL HEALTH SYSTEM,3909 S WILSON ROAD,RADCLIFF,KY,40160,HARDIN,(270) 351-9444,Psychiatric,Proprietary
+34978,GILLETTE CHILDRENS SPECIALTY HOSPITAL,200 UNIVERSITY AVENUE EAST,SAINT PAUL,MN,55106,RAMSEY,(651) 578-5611,Childrens,Government - Hospital District or Authority
+64164,MANATI MEDICAL CENTER DR OTERO LOPEZ,CALLE HERNANDEZ CARRION URB ATENAS,MANATI,PR,674,MANATI,(787) 621-3700,Acute Care Hospitals,Proprietary
+84291,SAINT THOMAS STONES RIVER HOSPITAL,324 DOOLITTLE ROAD,WOODBURY,TN,37190,CANNON,(615) 563-4001,Acute Care Hospitals,Proprietary
+50507,"MEDICAL CENTER, NAVICENT HEALTH (THE)",777 HEMLOCK STREET,MACON,GA,31201,BIBB,(478) 633-1000,Acute Care Hospitals,Government - Hospital District or Authority
+51989,CAROMONT REGIONAL MEDICAL CENTER,2525 COURT DR,GASTONIA,NC,28052,GASTON,(704) 834-4891,Acute Care Hospitals,Voluntary non-profit - Private
+85893,SETON SOUTHWEST HOSPITAL,7900 FM 1826,AUSTIN,TX,78737,HAYS,(512) 324-9000,Acute Care Hospitals,Voluntary non-profit - Private
+52938,TUFTS MEDICAL CENTER,800 WASHINGTON STREET,BOSTON,MA,2111,SUFFOLK,(617) 636-5000,Acute Care Hospitals,Voluntary non-profit - Private
+77662,SALEM HEALTH WEST VALLEY,525 SE WASHINGTON STREET,DALLAS,OR,97338,POLK,(503) 623-8301,Critical Access Hospitals,Voluntary non-profit - Private
+75909,WESTWOOD PEMBROKE HEALTH SYSTEMS,45 CLAPBOARDTREE STREET,WESTWOOD,MA,2090,NORFOLK,(617) 762-7764,Psychiatric,Proprietary
+30889,THE SPINE HOSPITAL OF LOUISIANA,"10105 PARK ROW CIRCLE, SUITE 250",BATON ROUGE,LA,70810,E. BATON ROUGE,(225) 763-9900,Acute Care Hospitals,Voluntary non-profit - Private
+22783,ASCENSION ST FRANCIS HOSPITAL,3237 S 16TH ST,MILWAUKEE,WI,53215,MILWAUKEE,(414) 647-5000,Acute Care Hospitals,Voluntary non-profit - Private
+21370,DEBORAH HEART AND LUNG CENTER,200 TRENTON ROAD,BROWNS MILLS,NJ,8015,BURLINGTON,(609) 893-6611,Acute Care Hospitals,Voluntary non-profit - Private
+42195,NORTHWEST MISSISSIPPI REGIONAL MEDICAL CENTER,1970 HOSPITAL DRIVE,CLARKSDALE,MS,38614,COAHOMA,(662) 627-3211,Acute Care Hospitals,Proprietary
+12046,HOUSTON METHODIST SUGARLAND HOSPITAL,16655 SOUTHWEST FREEWAY,SUGAR LAND,TX,77479,FORT BEND,(281) 274-8000,Acute Care Hospitals,Voluntary non-profit - Private
+40856,HARLEM HOSPITAL CENTER,506 LENOX AVENUE,NEW YORK,NY,10037,NEW YORK,(212) 939-1000,Acute Care Hospitals,Government - Local
+24736,UNIVERSITY OF MISSOURI HEALTH CARE,ONE HOSPITAL DRIVE,COLUMBIA,MO,65212,BOONE,(573) 882-4141,Acute Care Hospitals,Government - State
+90169,ST JOSEPH REGIONAL MEDICAL CENTER,415 SIXTH STREET,LEWISTON,ID,83501,NEZ PERCE,(208) 799-5300,Acute Care Hospitals,Voluntary non-profit - Private
+83261,DOVER BEHAVIORAL HEALTH SYSTEM,725 HORSEPOND ROAD,DOVER,DE,19901,KENT,(302) 741-0140,Psychiatric,Proprietary
+56161,MERCY HEALTH - WEST HOSPITAL,3300 MERCY HEALTH BLVD,CINCINNATI,OH,45211,HAMILTON,(513) 215-5000,Acute Care Hospitals,Voluntary non-profit - Private
+35952,OREGON STATE HOSPITAL DISTINCT PART,2600 CENTER STREET NE,SALEM,OR,97301,MARION,(503) 945-2870,Psychiatric,Government - State
+67734,CARILION ROANOKE MEMORIAL HOSPITAL,"1906 BELLEVIEW AVENUE, SE",ROANOKE,VA,24014,ROANOKE CITY,(540) 981-7000,Acute Care Hospitals,Voluntary non-profit - Private
+52201,THE HOSPITAL AT WESTLAKE MEDICAL CENTER,"5656 BEE CAVES ROAD, SUITE M-302",AUSTIN,TX,78746,TRAVIS,(512) 327-0000,Acute Care Hospitals,Proprietary
+77908,ABRAZO WEST CAMPUS,13677 WEST MCDOWELL ROAD,GOODYEAR,AZ,85395,MARICOPA,(623) 882-1970,Acute Care Hospitals,Proprietary
+83822,CHI MERCY HEALTH,570 CHAUTAUQUA BLVD,VALLEY CITY,ND,58072,BARNES,(701) 845-6400,Critical Access Hospitals,Voluntary non-profit - Church
+27247,TERRE HAUTE REGIONAL HOSPITAL,3901 S SEVENTH ST,TERRE HAUTE,IN,47802,VIGO,(812) 232-0021,Acute Care Hospitals,Proprietary
+13791,HIGHLANDS MEDICAL CENTER,380 WOODS COVE ROAD,SCOTTSBORO,AL,35768,JACKSON,(256) 259-4444,Acute Care Hospitals,Government - Hospital District or Authority
+65095,RUSSELL MEDICAL CENTER,3316 HIGHWAY 280,ALEXANDER CITY,AL,35010,TALLAPOOSA,(256) 329-7100,Acute Care Hospitals,Voluntary non-profit - Private
+77136,HSHS GOOD SHEPHERD HOSPITAL INC,200 S CEDAR ST,SHELBYVILLE,IL,62565,SHELBY,(217) 774-3961,Acute Care Hospitals,Voluntary non-profit - Private
+34036,TUBA CITY REGIONAL HEALTH CARE CORPORATION,PO BOX 600,TUBA CITY,AZ,86045,COCONINO,(928) 283-2501,Acute Care Hospitals,Voluntary non-profit - Other
+80687,CHILDRENS HOSPITAL OF WISCONSIN FOX VALLEY,130 SECOND ST,NEENAH,WI,54956,WINNEBAGO,(920) 969-7900,Childrens,Voluntary non-profit - Other
+49588,SOUTHERN OCEAN MEDICAL CENTER,1140 RT 72 W,MANAHAWKIN,NJ,8050,OCEAN,(609) 597-6011,Acute Care Hospitals,Voluntary non-profit - Private
+46049,UT SOUTHWESTERN UNIVERSITY HOSPITAL,6201 HARRY HINES BLVD,DALLAS,TX,75390,DALLAS,(214) 633-5555,Acute Care Hospitals,Government - State
+64221,BAPTIST MEMORIAL HOSPITAL UNION COUNTY,200 HWY 30 WEST,NEW ALBANY,MS,38652,UNION,(662) 538-7631,Acute Care Hospitals,Voluntary non-profit - Other
+18269,FALL RIVER HOSPITAL - CAH,1201 HIGHWAY 71 SOUTH,HOT SPRINGS,SD,57747,FALL RIVER,(605) 745-8910,Critical Access Hospitals,Government - Local
+14638,SOUTH TEXAS HEALTH SYSTEM,1102 W TRENTON ROAD,EDINBURG,TX,78539,HIDALGO,(956) 632-4484,Acute Care Hospitals,Proprietary
+49246,WESLEY MEDICAL CENTER,550 N HILLSIDE STREET,WICHITA,KS,67214,SEDGWICK,(316) 962-2000,Acute Care Hospitals,Proprietary
+48047,"BEATRICE COMMUNITY HOSPITAL & HEALTH CENTER, INC","P O BOX 278, 4800 HOSPITAL PARKWAY",BEATRICE,NE,68310,GAGE,(402) 228-3344,Critical Access Hospitals,Voluntary non-profit - Private
+75638,DARDANELLE HOSPITAL,200 NORTH THIRD STREET,DARDANELLE,AR,72834,YELL,(479) 229-4677,Critical Access Hospitals,Proprietary
+23890,ST VINCENT MERCY HOSPITAL,1331 S A ST,ELWOOD,IN,46036,MADISON,(765) 552-4743,Critical Access Hospitals,Voluntary non-profit - Church
+22215,THE JAMES B HAGGIN MEMORIAL HOSPITAL,464 LINDEN AVENUE,HARRODSBURG,KY,40330,MERCER,(859) 239-2409,Critical Access Hospitals,Voluntary non-profit - Other
+82672,CHESTER COUNTY HOSPITAL,701 EAST MARSHALL STREET,WEST CHESTER,PA,19380,CHESTER,(610) 431-5000,Acute Care Hospitals,Voluntary non-profit - Private
+18019,RANKIN HOSPITAL MEDICAL CLINIC,1611 SPUR 576,RANKIN,TX,79778,UPTON,(432) 693-2443,Critical Access Hospitals,Government - Hospital District or Authority
+55119,GROVE HILL MEMORIAL HOSPITAL,295 JACKSON HWY S,GROVE HILL,AL,36451,CLARKE,(251) 275-3191,Acute Care Hospitals,Government - Hospital District or Authority
+10528,BROWARD HEALTH MEDICAL CENTER,1600 S ANDREWS AVE,FORT LAUDERDALE,FL,33316,BROWARD,(954) 355-4400,Acute Care Hospitals,Government - Hospital District or Authority
+93679,DALLAS REGIONAL MEDICAL CENTER,1011 NORTH GALLOWAY AVENUE,MESQUITE,TX,75149,DALLAS,(214) 320-7000,Acute Care Hospitals,Proprietary
+50313,MERCY MEDICAL CENTER,1000 NORTH VILLAGE AVENUE,ROCKVILLE CENTRE,NY,11570,NASSAU,(516) 705-2525,Acute Care Hospitals,Voluntary non-profit - Private
+58043,WESTERN ARIZONA REGIONAL MEDICAL CENTER,2735 SILVER CREEK ROAD,BULLHEAD CITY,AZ,86442,MOHAVE,(928) 763-2273,Acute Care Hospitals,Proprietary
+17136,"ERLANGER BEHAVIORAL HOSPITAL, LLC",804 NORTH HOLTZCLAW AVENUE,CHATTANOOGA,TN,37404,HAMILTON,(877) 249-2737,Psychiatric,Proprietary
+90973,SEDGWICK COUNTY MEMORIAL HOSPITAL,900 CEDAR ST,JULESBURG,CO,80737,SEDGWICK,(970) 474-3323,Critical Access Hospitals,Government - Local
+58671,ST CATHERINE OF SIENA HOSPITAL,50 ROUTE 25A,SMITHTOWN,NY,11787,SUFFOLK,(631) 862-3000,Acute Care Hospitals,Voluntary non-profit - Private
+79951,MERCY HOSPITAL BOONEVILLE,880 WEST MAIN,BOONEVILLE,AR,72927,LOGAN,(479) 675-2800,Critical Access Hospitals,Voluntary non-profit - Private
+60234,TROY REGIONAL MEDICAL CENTER,1330 HIGHWAY 231 SOUTH,TROY,AL,36081,PIKE,(334) 670-5000,Acute Care Hospitals,Government - Federal
+87825,MOUNTAIN VIEW HOSPITAL,1000 EAST 100 NORTH,PAYSON,UT,84651,UTAH,(801) 465-7100,Acute Care Hospitals,Proprietary
+68012,DELTA REGIONAL MEDICAL CENTER,1400 E UNION ST,GREENVILLE,MS,38704,WASHINGTON,(662) 378-3783,Acute Care Hospitals,Government - Local
+77357,SEQUOYAH COUNTY-CITY OF SALLISAW HOSPITAL AUTHORIT,213 EAST REDWOOD,SALLISAW,OK,74955,SEQUOYAH,(918) 774-1100,Acute Care Hospitals,Government - Hospital District or Authority
+93132,SURGICAL SPECIALTY CENTER OF BATON ROUGE,8080 BLUEBONNET BLVD,BATON ROUGE,LA,70810,E. BATON ROUGE,(225) 408-8080,Acute Care Hospitals,Physician
+31401,MC DONOUGH DISTRICT HOSPITAL,525 EAST GRANT STREET,MACOMB,IL,61455,MC DONOUGH,(309) 833-4101,Acute Care Hospitals,Government - Hospital District or Authority
+55370,DELTA MEDICAL CENTER,3000 GETWELL RD,MEMPHIS,TN,38118,SHELBY,(901) 369-8100,Acute Care Hospitals,Proprietary
+33483,BETSY JOHNSON REGIONAL  HOSPITAL,800 TILGHMAN DR,DUNN,NC,28334,HARNETT,(910) 892-7161,Acute Care Hospitals,Voluntary non-profit - Private
+73562,EVANSVILLE STATE HOSPITAL,3400 LINCOLN AVENUE,EVANSVILLE,IN,47714,VANDERBURGH,(812) 469-6800,Psychiatric,Government - State
+55746,GOOD SHEPHERD MEDICAL CENTER,610 NW 11TH STREET,HERMISTON,OR,97838,UMATILLA,(541) 667-3400,Critical Access Hospitals,Voluntary non-profit - Private
+56839,MCKENZIE-WILLAMETTE MEDICAL CENTER,1460 G STREET,SPRINGFIELD,OR,97477,LANE,(541) 726-4400,Acute Care Hospitals,Voluntary non-profit - Private
+40263,AKRON GENERAL MEDICAL CENTER,1 AKRON GENERAL AVENUE,AKRON,OH,44307,SUMMIT,(330) 344-6000,Acute Care Hospitals,Voluntary non-profit - Private
+85385,FULTON MEDICAL CENTER LLC,10 SOUTH HOSPITAL DRIVE,FULTON,MO,65251,CALLAWAY,(573) 642-3376,Acute Care Hospitals,Voluntary non-profit - Private
+70825,CASCADE MEDICAL CENTER,817 COMMERCIAL STREET,LEAVENWORTH,WA,98826,CHELAN,(509) 548-5815,Critical Access Hospitals,Government - Hospital District or Authority
+72138,EASTLAND MEMORIAL HOSPITAL,304 S DAUGHERTY,EASTLAND,TX,76448,EASTLAND,(254) 629-2601,Acute Care Hospitals,Government - Hospital District or Authority
+88025,ORANGE COUNTY GLOBAL MEDICAL CENTER,1001 NORTH TUSTIN AVENUE,SANTA ANA,CA,92705,ORANGE,(714) 953-3610,Acute Care Hospitals,Proprietary
+83397,BAYLOR SCOTT AND WHITE MEDICAL CENTER LAKE POINTE,6800 SCENIC DR,ROWLETT,TX,75088,DALLAS,(972) 412-2273,Acute Care Hospitals,Proprietary
+62261,STROUD REGIONAL MEDICAL CENTER,2308 HIGHWAY 66 WEST,STROUD,OK,74079,LINCOLN,(918) 968-3571,Critical Access Hospitals,Voluntary non-profit - Private
+54172,POTOMAC VALLEY HOSPITAL,100 PIN OAK LANE,KEYSER,WV,26726,MINERAL,(304) 597-3500,Critical Access Hospitals,Voluntary non-profit - Private
+42530,BIG SOUTH FORK MEDICAL CENTER,18797 ALBERTA STREET,ONEIDA,TN,37841,SCOTT,(423) 286-5300,Acute Care Hospitals,Proprietary
+67205,DIGNITY HEALTH - ARIZONA GENERAL HOSPITAL,7171 SOUTH 51ST AVENUE,LAVEEN,AZ,85339,MARICOPA,(623) 584-5100,Acute Care Hospitals,Proprietary
+19937,MONTROSE MEMORIAL HOSPITAL,800 S 3RD ST,MONTROSE,CO,81401,MONTROSE,(970) 249-2211,Acute Care Hospitals,Voluntary non-profit - Private
+16142,RIVENDELL BEHAVIORAL HEALTH SERVICES OF ARKANSAS,100 RIVENDELL DRIVE,BENTON,AR,72019,SALINE,(501) 316-1255,Psychiatric,Proprietary
+77100,PRESBYTERIAN HOSPITAL,1100 CENTRAL AVENUE SE,ALBUQUERQUE,NM,87106,BERNALILLO,(505) 724-8386,Acute Care Hospitals,Voluntary non-profit - Private
+52170,GOOD SAMARITAN HOSPITAL MEDICAL CENTER,1000 MONTAUK HIGHWAY,WEST ISLIP,NY,11795,SUFFOLK,(631) 376-3000,Acute Care Hospitals,Voluntary non-profit - Church
+44704,HURON REGIONAL MEDICAL CENTER,172 FOURTH STREET SE,HURON,SD,57350,BEADLE,(605) 353-6200,Critical Access Hospitals,Voluntary non-profit - Private
+13872,CULLMAN REGIONAL MEDICAL CENTER,1912 ALABAMA HIGHWAY 157,CULLMAN,AL,35058,CULLMAN,(256) 737-2000,Acute Care Hospitals,Government - Hospital District or Authority
+57054,RIDGEVIEW BEHAVIORAL HOSPITAL,17872 LINCOLN HIGHWAY,MIDDLE POINT,OH,45863,VAN WERT,(419) 968-2950,Psychiatric,Proprietary
+39592,MOUNT NITTANY MEDICAL CENTER,1800 EAST PARK AVE,STATE COLLEGE,PA,16803,CENTRE,(814) 231-7000,Acute Care Hospitals,Voluntary non-profit - Private
+22089,BLUERIDGE VISTA HEALTH AND WELLNESS,5500 VERULAM AVENUE,CINCINNATI,OH,45213,HAMILTON,(513) 841-3011,Psychiatric,Proprietary
+20262,SUTTER ROSEVILLE MEDICAL CENTER,ONE MEDICAL PLAZA,ROSEVILLE,CA,95661,PLACER,(916) 781-1000,Acute Care Hospitals,Voluntary non-profit - Private
+28706,FALLS COMMUNITY HOSPITAL AND CLINIC,322 COLEMAN STREET,MARLIN,TX,76661,FALLS,(254) 803-3561,Acute Care Hospitals,Voluntary non-profit - Private
+31764,BRODSTONE MEMORIAL HOSP,"P O BOX 187, 520 EAST 10TH ST",SUPERIOR,NE,68978,NUCKOLLS,(402) 879-3281,Critical Access Hospitals,Voluntary non-profit - Private
+69934,GENESIS HEALTH SYSTEM,801 ILLINI DR,SILVIS,IL,61282,ROCK ISLAND,(309) 281-4000,Acute Care Hospitals,Government - Local
+24474,SURGERY SPECIALTY HOSPITALS OF AMERICA SE HOUSTON,4301 B VISTA,PASADENA,TX,77504,HARRIS,(713) 378-3000,Acute Care Hospitals,Proprietary
+48522,ERLANGER BLEDSOE HOSPITAL,71 WHEELERTOWN AVENUE,PIKEVILLE,TN,37367,BLEDSOE,(423) 447-2112,Critical Access Hospitals,Government - Hospital District or Authority
+61927,MERCY HOSPITAL,4572 COUNTY ROAD 61,MOOSE LAKE,MN,55767,CARLTON,(218) 485-4481,Critical Access Hospitals,Government - Hospital District or Authority
+88285,SELLS HOSPITAL,"HIGHWAY 86, AT TOPAWA ROAD",SELLS,AZ,85634,PIMA,(520) 362-7003,Acute Care Hospitals,Tribal
+92565,RANDOLPH HOSPITAL,364 WHITE OAK STREET,ASHEBORO,NC,27204,RANDOLPH,(336) 625-5151,Acute Care Hospitals,Voluntary non-profit - Private
+92681,HENRY FORD WEST BLOOMFIELD HOSPITAL,6777 WEST MAPLE ROAD,WEST BLOOMFIELD,MI,48322,OAKLAND,(248) 325-1000,Acute Care Hospitals,Voluntary non-profit - Private
+37330,GRACE MEDICAL CENTER,2412 50TH ST,LUBBOCK,TX,79412,LUBBOCK,(806) 788-4100,Acute Care Hospitals,Voluntary non-profit - Other
+53874,SPENCER MUNICIPAL HOSPITAL,1200 1ST AVENUE EAST,SPENCER,IA,51301,CLAY,(712) 264-8300,Acute Care Hospitals,Government - Local
+53716,PEACEHEALTH PEACE ISLAND MEDICAL CENTER,1117 SPRING STREET,FRIDAY HARBOR,WA,98250,SAN JUAN,(360) 378-2141,Critical Access Hospitals,Voluntary non-profit - Private
+24726,PETALUMA VALLEY HOSPITAL,400 N MCDOWELL BLVD,PETALUMA,CA,94954,SONOMA,(707) 778-1111,Acute Care Hospitals,Voluntary non-profit - Other
+50068,UCHEALTH BROOMFIELD HOSPITAL,11820 DESTINATION DRIVE,BROOMFIELD,CO,80021,JEFFERSON,(303) 460-6000,Acute Care Hospitals,Proprietary
+41594,BELLIN PSYCHIATRIC CENTER,301 E ST JOSEPH ST,GREEN BAY,WI,54301,BROWN,(920) 433-3630,Psychiatric,Voluntary non-profit - Church
+67237,HIGH POINT REGIONAL HOSPITAL,601 N ELM ST,HIGH POINT,NC,27261,GUILFORD,(336) 878-6000,Acute Care Hospitals,Voluntary non-profit - Private
+28958,NASSAU UNIVERSITY MEDICAL CENTER,2201 HEMPSTEAD TURNPIKE,EAST MEADOW,NY,11554,NASSAU,(516) 572-0123,Acute Care Hospitals,Government - Local
+75381,ST VINCENT HOSPITAL,123 SUMMER STREET,WORCESTER,MA,1608,WORCESTER,(508) 363-5000,Acute Care Hospitals,Proprietary
+71071,COLUSA MEDICAL CENTER,199 E WEBSTER STREET,COLUSA,CA,95932,COLUSA,(530) 619-0800,Acute Care Hospitals,Proprietary
+55222,SHASTA REGIONAL MEDICAL CENTER,1100 BUTTE ST,REDDING,CA,96001,SHASTA,(530) 244-5454,Acute Care Hospitals,Proprietary
+86196,HOLZER MEDICAL CENTER,100 JACKSON PIKE,GALLIPOLIS,OH,45631,GALLIA,(740) 446-5000,Acute Care Hospitals,Voluntary non-profit - Private
+76073,CLINCH MEMORIAL HOSPITAL,1050 VALDOSTA HIGHWAY,HOMERVILLE,GA,31634,CLINCH,(912) 487-5211,Critical Access Hospitals,Government - Local
+14474,PALMS BEHAVIORAL HEALTH,613 VICTORIA LANE,HARLINGEN,TX,78550,CAMERON,(956) 245-9665,Psychiatric,Proprietary
+60774,CHILDRENS HOSPITAL OF THE KINGS DAUGHTERS INC,601 CHILDREN'S LANE,NORFOLK,VA,23507,NORFOLK CITY,(757) 668-9647,Childrens,Voluntary non-profit - Private
+28146,CONEMAUGH MEYERSDALE MEDICAL CENTER,200 HOSPITAL DRIVE,MEYERSDALE,PA,15552,SOMERSET,(814) 634-5911,Critical Access Hospitals,Proprietary
+82208,KENT COUNTY MEMORIAL HOSPITAL,455 TOLL GATE RD,WARWICK,RI,2886,KENT,(401) 737-7010,Acute Care Hospitals,Proprietary
+28238,COLUMBUS REGIONAL HEALTHCARE SYSTEM,500 JEFFERSON ST,WHITEVILLE,NC,28472,COLUMBUS,(910) 642-8011,Acute Care Hospitals,Voluntary non-profit - Other
+71882,"BAYHEALTH HOSPITAL, SUSSEX CAMPUS",100 WELLNESS WAY,MILFORD,DE,19963,SUSSEX,(302) 422-3311,Acute Care Hospitals,Voluntary non-profit - Private
+58961,BAKERSFIELD HEART HOSPITAL,3001 SILLECT AVENUE,BAKERSFIELD,CA,93308,KERN,(661) 316-6000,Acute Care Hospitals,Proprietary
+91785,EXCELA HEALTH FRICK HOSPITAL,508 SOUTH CHURCH STREET,MOUNT PLEASANT,PA,15666,WESTMORELAND,(724) 547-1500,Acute Care Hospitals,Voluntary non-profit - Other
+55029,SANTA ROSA MEDICAL CENTER,6002 BERRYHILL RD,MILTON,FL,32570,SANTA ROSA,(850) 626-7762,Acute Care Hospitals,Proprietary
+37515,PALMS WEST HOSPITAL,13001 SOUTHERN BLVD,LOXAHATCHEE,FL,33470,PALM BEACH,(561) 753-4245,Acute Care Hospitals,Proprietary
+63675,VIDANT EDGECOMBE HOSPITAL,111 HOSPITAL DR,TARBORO,NC,27886,EDGECOMBE,(252) 641-7700,Acute Care Hospitals,Government - Local
+91382,BRENTWOOD HOSPITAL,1006 HIGHLAND AVENUE,SHREVEPORT,LA,71106,CADDO,(318) 678-7500,Psychiatric,Proprietary
+23021,ST FRANCIS COMMUNITY HOSPITAL,34515 9TH AVENUE SOUTH,FEDERAL WAY,WA,98003,KING,(253) 944-8100,Acute Care Hospitals,Voluntary non-profit - Church
+11076,NEW YORK-PRESBYTERIAN HOSPITAL-NEW YORK WEILL CORN,525 EAST 68TH STREET,NEW YORK,NY,10065,NEW YORK,(212) 746-5454,Acute Care Hospitals,Voluntary non-profit - Private
+22644,STILLWATER MEDICAL - PERRY,501 N 14TH ST,PERRY,OK,73077,NOBLE,(580) 336-3541,Acute Care Hospitals,Government - Hospital District or Authority
+22791,SCOTTSDALE THOMPSON PEAK MEDICAL CENTER,7400 EAST THOMPSON PEAK PARKWAY,SCOTTSDALE,AZ,85255,MARICOPA,(480) 324-7001,Acute Care Hospitals,Proprietary
+11538,VAN WERT COUNTY HOSPITAL,1250 S WASHINGTON STREET,VAN WERT,OH,45891,VAN WERT,(419) 238-8627,Acute Care Hospitals,Voluntary non-profit - Private
+71430,PARKVIEW HOSPITAL,901 S. SWEETWATER,WHEELER,TX,79096,WHEELER,(806) 826-5581,Critical Access Hospitals,Government - Hospital District or Authority
+71053,CITIZENS MEDICAL CENTER,100 E COLLEGE DRIVE,COLBY,KS,67701,THOMAS,(785) 462-7511,Critical Access Hospitals,Voluntary non-profit - Private
+85700,TRISTAR CENTENNIAL MEDICAL CENTER,2300 PATTERSON STREET,NASHVILLE,TN,37203,DAVIDSON,(615) 342-1000,Acute Care Hospitals,Proprietary
+38349,WINNER REGIONAL HEALTHCARE CENTER - CAH,745 EAST 8TH STREET,WINNER,SD,57580,TRIPP,(605) 842-7100,Critical Access Hospitals,Voluntary non-profit - Private
+91364,MONMOUTH MEDICAL CENTER-SOUTHERN CAMPUS,600 RIVER AVE,LAKEWOOD,NJ,8701,OCEAN,(732) 363-1900,Acute Care Hospitals,Voluntary non-profit - Private
+45722,SAINT FRANCIS MEDICAL CENTER,211 ST FRANCIS DR,CAPE GIRARDEAU,MO,63703,CAPE GIRARDEAU,(573) 331-3000,Acute Care Hospitals,Voluntary non-profit - Church
+13316,GOOD SAMARITAN HOSPITAL,901 OLIVE DRIVE,BAKERSFIELD,CA,93308,KERN,(661) 399-4461,Acute Care Hospitals,Proprietary
+56416,DIGNITY HEALTH ST ROSE DOMINICAN N L V  CAMPUS,1550 W CRAIG RANCH,NORTH LAS VEGAS,NV,89031,CLARK,(702) 777-3615,Acute Care Hospitals,Proprietary
+25509,GEORGE E WEEMS MEMORIAL HOSPITAL,135 AVE G,APALACHICOLA,FL,32320,FRANKLIN,(850) 653-8853,Critical Access Hospitals,Government - Local
+13742,CENTURA HEALTH-ST MARY CORWIN MEDICAL CENTER,1008 MINNEQUA AVE,PUEBLO,CO,81004,PUEBLO,(719) 557-4000,Acute Care Hospitals,Voluntary non-profit - Church
+50472,PILGRIM PSYCHIATRIC CENTER,998 CROOKED HILL ROAD,WEST BRENTWOOD,NY,11717,SUFFOLK,(631) 761-3500,Psychiatric,Government - State
+53757,MCBRIDE ORTHOPEDIC HOSPITAL,9600 NORTH BROADWAY EXTENSION,OKLAHOMA CITY,OK,73114,OKLAHOMA,(405) 486-2100,Acute Care Hospitals,Physician
+55537,TRISTAR GREENVIEW REGIONAL HOSPITAL,1801 ASHLEY CIRCLE,BOWLING GREEN,KY,42104,WARREN,(270) 793-1000,Acute Care Hospitals,Proprietary
+16891,QUITMAN COUNTY HOSPITAL CAH,340 GETWELL DRIVE,MARKS,MS,38646,QUITMAN,(662) 326-8031,Critical Access Hospitals,Proprietary
+46989,NH Camp Pendleton,200 Mercy Circle Camp Pendleton,Camp Pendleton,CA,92055,SAN DIEGO,(760) 725-1288,Acute Care - Department of Defense,Department of Defense
+64106,MERCY HEALTH-ALLEN HOSPITAL,200 WEST LORAIN STREET,OBERLIN,OH,44074,LORAIN,(440) 775-1211,Critical Access Hospitals,Voluntary non-profit - Private
+24002,CROUSE HOSPITAL,736 IRVING AVENUE,SYRACUSE,NY,13210,ONONDAGA,(315) 470-7449,Acute Care Hospitals,Voluntary non-profit - Private
+17467,ST HELENA PARISH HOSPITAL,16874 HIGHWAY 43,GREENSBURG,LA,70441,ST. HELENA,(225) 222-6111,Critical Access Hospitals,Government - Hospital District or Authority
+78495,CONEMAUGH NASON MEDICAL CENTER,105 NASON DRIVE,ROARING SPRING,PA,16673,BLAIR,(814) 224-2141,Acute Care Hospitals,Voluntary non-profit - Private
+16061,CHI HEALTH ST ELIZABETH,555 SOUTH 70TH ST,LINCOLN,NE,68510,LANCASTER,(402) 219-7700,Acute Care Hospitals,Voluntary non-profit - Private
+87613,LEXINGTON REGIONAL HEALTH CENTER,"P O BOX 980, 1201 NORTH ERIE ST",LEXINGTON,NE,68850,DAWSON,(308) 324-5651,Critical Access Hospitals,Government - Hospital District or Authority
+21866,BERKSHIRE MEDICAL CENTER INC - 1,725 NORTH STREET,PITTSFIELD,MA,1201,BERKSHIRE,(413) 447-2000,Acute Care Hospitals,Voluntary non-profit - Other
+86694,NORTH DAKOTA STATE HOSPITAL,2605 CIRCLE DRIVE,JAMESTOWN,ND,58401,STUTSMAN,(701) 253-3650,Psychiatric,Government - State
+84904,LONGS PEAK HOSPITAL,1750 EAST KEN PRATT BOULEVARD,LONGMONT,CO,80504,BOULDER,(720) 718-3005,Acute Care Hospitals,Voluntary non-profit - Private
+84011,JEWISH HOSPITAL & ST MARY'S HEALTHCARE,200 ABRAHAM FLEXNER WAY,LOUISVILLE,KY,40202,JEFFERSON,(502) 587-4011,Acute Care Hospitals,Voluntary non-profit - Private
+20607,MARION REGIONAL MEDICAL CENTER,1256 MILITARY STREET SOUTH,HAMILTON,AL,35570,MARION,(205) 921-6200,Acute Care Hospitals,Voluntary non-profit - Private
+59008,WAYNE MEDICAL CENTER,103 J V MANGUBAT DR,WAYNESBORO,TN,38485,WAYNE,(931) 722-5411,Acute Care Hospitals,Voluntary non-profit - Other
+17706,MERCYONE CEDAR FALLS MEDICAL CENTER,515 COLLEGE STREET,CEDAR FALLS,IA,50613,BLACK HAWK,(319) 268-3000,Acute Care Hospitals,Voluntary non-profit - Church
+22474,COMANCHE COUNTY HOSPITAL,2ND & FRISCO STREET,COLDWATER,KS,67029,COMANCHE,(620) 582-2144,Critical Access Hospitals,Government - Local
+13445,COLUMBUS COMMUNITY HOSPITAL,110 SHULT DR,COLUMBUS,TX,78934,COLORADO,(979) 732-2371,Acute Care Hospitals,Voluntary non-profit - Private
+42403,KIRBY MEDICAL CENTER,1000 MEDICAL CENTER DRIVE,MONTICELLO,IL,61856,PIATT,(217) 762-2115,Critical Access Hospitals,Voluntary non-profit - Private
+39435,PENNSYLVANIA PSYCHIATRIC INSTITUTE,2501 NORTH THIRD STREET,HARRISBURG,PA,17110,DAUPHIN,(717) 782-4742,Psychiatric,Proprietary
+47359,NICHOLAS H NOYES MEMORIAL HOSPITAL,111  CLARA BARTON STREET,DANSVILLE,NY,14437,LIVINGSTON,(585) 335-6001,Acute Care Hospitals,Voluntary non-profit - Private
+32492,PROVIDENCE HOSPITAL,6801 AIRPORT BOULEVARD,MOBILE,AL,36608,MOBILE,(251) 633-1000,Acute Care Hospitals,Voluntary non-profit - Church
+85804,HASKELL COUNTY COMMUNITY HOSPITAL,401 NORTHWEST H STREET,STIGLER,OK,74462,HASKELL,(918) 967-4682,Critical Access Hospitals,Proprietary
+92335,PERIMETER BEHAVIORAL HOSPITAL OF SPRINGFIELD,2828 N NATIONAL,SPRINGFIELD,MO,65803,GREENE,(417) 837-4000,Psychiatric,Proprietary
+47857,"ROME MEMORIAL HOSPITAL, INC",1500 NORTH JAMES STREET,ROME,NY,13440,ONEIDA,(315) 338-7000,Acute Care Hospitals,Voluntary non-profit - Private
+58189,SIGNATURE PSYCHIATRIC HOSPITAL,2900 CLAY EDWARDS DRIVE,NORTH KANSAS CITY,MO,64116,CLAY,(816) 691-5101,Psychiatric,Proprietary
+59399,NAPLES COMMUNITY HOSPITAL,350 7TH ST N,NAPLES,FL,34102,COLLIER,(239) 436-5000,Acute Care Hospitals,Voluntary non-profit - Private
+39898,GRANT MEDICAL CENTER,111 SOUTH GRANT AVENUE,COLUMBUS,OH,43215,FRANKLIN,(614) 566-9000,Acute Care Hospitals,Voluntary non-profit - Church
+21433,REDMOND REGIONAL MEDICAL CENTER,501 REDMOND ROAD,ROME,GA,30165,FLOYD,(706) 802-3012,Acute Care Hospitals,Proprietary
+32298,"CARRIS HEALTH - REDWOOD, LLC",100 FALLWOOD ROAD,REDWOOD FALLS,MN,56283,REDWOOD,(507) 637-4500,Critical Access Hospitals,Government - Local
+39105,DAVIS MEDICAL CENTER,812 GORMAN AVENUE,ELKINS,WV,26241,RANDOLPH,(304) 636-3300,Acute Care Hospitals,Voluntary non-profit - Private
+42256,SYCAMORE MEDICAL CENTER,4000 MIAMISBURG-CENTERVILLE ROAD,MIAMISBURG,OH,45342,MONTGOMERY,(937) 384-8776,Acute Care Hospitals,Voluntary non-profit - Church
+81155,BMH-CALHOUN,140 BURKE-CALHOUN CITY ROAD,CALHOUN CITY,MS,38916,CALHOUN,(662) 628-6611,Critical Access Hospitals,Voluntary non-profit - Private
+38127,PRISMA HEALTH RICHLAND HOSPITAL,5 MEDICAL PARK,COLUMBIA,SC,29203,RICHLAND,(803) 296-2548,Acute Care Hospitals,Voluntary non-profit - Private
+57550,PROVIDENCE ST JOSEPH MEDICAL CENTER,6 13TH AVE E,POLSON,MT,59860,LAKE,(406) 883-5377,Critical Access Hospitals,Voluntary non-profit - Private
+59610,UNIVERSITY OF MD LAUREL REGIONAL HOSPITAL,7300 VAN DUSEN ROAD,LAUREL,MD,20707,PRINCE GEORGES,(301) 725-4300,Acute Care Hospitals,Voluntary non-profit - Private
+58352,WEST SPRINGS HOSPITAL,515 28 3/4 RD,GRAND JUNCTION,CO,81501,MESA,(970) 263-4918,Psychiatric,Voluntary non-profit - Private
+74068,GROVER C DILS MEDICAL CENTER,"700 N SPRING ST, BOX 1010-C-ADM BLDG",CALIENTE,NV,89008,LINCOLN,(775) 726-3171,Critical Access Hospitals,Government - Hospital District or Authority
+84626,STONEWALL JACKSON MEMORIAL HOSPITAL,230 HOSPITAL PLAZA,WESTON,WV,26452,LEWIS,(304) 269-8080,Acute Care Hospitals,Voluntary non-profit - Private
+75607,MILAN GENERAL HOSPITAL,4039 HIGHLAND ST,MILAN,TN,38358,GIBSON,(731) 686-1591,Acute Care Hospitals,Government - Local
+23373,MERCY MEDICAL CENTER-NORTH IOWA,1000 FOURTH STREET SW,MASON CITY,IA,50401,CERRO GORDO,(641) 428-7000,Acute Care Hospitals,Voluntary non-profit - Private
+14919,AURORA SHEBOYGAN MEMORIAL MEDICAL CTR,2629 N 7TH ST,SHEBOYGAN,WI,53083,SHEBOYGAN,(920) 451-5000,Acute Care Hospitals,Voluntary non-profit - Private
+84919,CHI ST ALEXIUS HEALTH TURTLE LAKE,220 5TH AVE W,TURTLE LAKE,ND,58575,MCLEAN,(701) 448-2331,Critical Access Hospitals,Voluntary non-profit - Church
+57181,ESSENTIA HEALTH ADA,201 9TH STREET WEST,ADA,MN,56510,NORMAN,(218) 784-5000,Critical Access Hospitals,Voluntary non-profit - Private
+11049,HILLS & DALES GENERAL HOSPITAL,4675 HILL STREET,CASS CITY,MI,48726,TUSCOLA,(989) 872-2121,Critical Access Hospitals,Voluntary non-profit - Private
+16634,SUMMIT OAKS HOSPITAL,19 PROSPECT ST,SUMMIT,NJ,7901,UNION,(908) 522-7027,Psychiatric,Proprietary
+59208,BRADLEY COUNTY MEDICAL CENTER,404 SOUTH BRADLEY STREET,WARREN,AR,71671,BRADLEY,(870) 226-3731,Critical Access Hospitals,Voluntary non-profit - Private
+12873,PROVIDENCE MEDICAL CENTER,8929 PARALLEL PARKWAY,KANSAS CITY,KS,66112,WYANDOTTE,(913) 596-4000,Acute Care Hospitals,Voluntary non-profit - Church
+64783,GUTHRIE COUNTY HOSPITAL,710 NORTH 12TH STREET,GUTHRIE CENTER,IA,50115,GUTHRIE,(641) 332-2201,Critical Access Hospitals,Government - Local
+12917,CHOCTAW MEMORIAL HOSPITAL,1405 EAST KIRK ROAD,HUGO,OK,74743,CHOCTAW,(580) 317-9500,Acute Care Hospitals,Government - Hospital District or Authority
+33057,HUDSON REGIONAL HOSPITAL,55 MEADOWLANDS PKWY,SECAUCUS,NJ,7094,HUDSON,(201) 392-3200,Acute Care Hospitals,Proprietary
+19083,"COMMUNITY HOSPITAL, LLC",3100 SOUTHWEST 89TH STREET,OKLAHOMA CITY,OK,73159,OKLAHOMA,(405) 602-8100,Acute Care Hospitals,Physician
+65083,ARH OUR LADY OF THE WAY,11203 MAIN STREET,MARTIN,KY,41649,FLOYD,(606) 285-6400,Critical Access Hospitals,Voluntary non-profit - Private
+33155,HOLY REDEEMER HOSPITAL AND MEDICAL CENTER,1648 HUNTINGDON PIKE,MEADOWBROOK,PA,19046,MONTGOMERY,(215) 947-3000,Acute Care Hospitals,Voluntary non-profit - Church
+14747,BUCHANAN GENERAL HOSPITAL,1535 SLATE CREEK ROAD,GRUNDY,VA,24614,BUCHANAN,(276) 935-1000,Acute Care Hospitals,Voluntary non-profit - Private
+61135,STONY BROOK UNIVERSITY HOSPITAL,HEALTH SCIENCES CENTER SUNY,STONY BROOK,NY,11794,SUFFOLK,(631) 444-4000,Acute Care Hospitals,Government - State
+90319,PLAINS MEMORIAL HOSPITAL,310 WEST HALSELL STREET,DIMMITT,TX,79027,CASTRO,(806) 647-2191,Critical Access Hospitals,Government - Hospital District or Authority
+86681,99th Medical Group (Nellis AFB),99 MDG 4700 Las Vegas Blvd,Nellis AFB,NV,89191,CLARK,(702) 653-2273,Acute Care - Department of Defense,Department of Defense
+71811,CLIFTON SPRINGS HOSPITAL AND CLINIC,2 COULTER ROAD,CLIFTON SPRINGS,NY,14432,ONTARIO,(315) 462-9561,Acute Care Hospitals,Voluntary non-profit - Private
+19571,SSM HEALTH ST. MARY'S HOSPITAL - JEFFERSON CITY,2505 MISSION DRIVE,JEFFERSON CITY,MO,65109,COLE,(573) 681-3000,Acute Care Hospitals,Proprietary
+47805,MERCY REGIONAL MEDICAL CENTER,800 E MAIN,VILLE PLATTE,LA,70586,EVANGELINE,(337) 363-5684,Acute Care Hospitals,Proprietary
+83529,ESSENTIA HEALTH NORTHERN PINES MEDICAL CENTER,5211 HIGHWAY 110,AURORA,MN,55705,ST. LOUIS,(218) 229-4222,Critical Access Hospitals,Voluntary non-profit - Private
+17345,TISHOMINGO HEALTH SERVICES INC,1777 CURTIS DRIVE,IUKA,MS,38852,TISHOMINGO,(662) 423-6051,Acute Care Hospitals,Voluntary non-profit - Private
+25450,THOMAS H BOYD MEMORIAL HOSPITAL,800 SCHOOL ST,CARROLLTON,IL,62016,GREENE,(217) 942-6946,Critical Access Hospitals,Voluntary non-profit - Private
+54950,MERCY HOSPITAL OF BUFFALO,565 ABBOTT ROAD,BUFFALO,NY,14220,ERIE,(716) 826-7000,Acute Care Hospitals,Voluntary non-profit - Private
+32397,UINTAH BASIN MEDICAL CENTER,250 WEST 300 NORTH,ROOSEVELT,UT,84066,DUCHESNE,(435) 722-4691,Acute Care Hospitals,Voluntary non-profit - Other
+62183,HOSPITAL PEREA,15 DR BASORA STREET,MAYAGUEZ,PR,681,MAYAGUEZ,(787) 834-0101,Acute Care Hospitals,Proprietary
+71380,SAN LUIS VALLEY HEALTH CONEJOS COUNTY HOSPITAL,19021 US HIGHWAY 285,LA JARA,CO,81140,CONEJOS,(719) 274-5121,Critical Access Hospitals,Voluntary non-profit - Private
+68340,ADVENTHEALTH DAYTONA BEACH,301 MEMORIAL MEDICAL PARKWAY,DAYTONA BEACH,FL,32117,VOLUSIA,(386) 676-6000,Acute Care Hospitals,Voluntary non-profit - Church
+21474,GEORGE WASHINGTON UNIV HOSPITAL,900 23RD ST NW,WASHINGTON,DC,20037,THE DISTRICT,(202) 716-4605,Acute Care Hospitals,Proprietary
+68182,MENLO PARK SURGICAL HOSPITAL,570 WILLOW ROAD,MENLO PARK,CA,94025,SAN MATEO,(650) 324-8500,Acute Care Hospitals,Voluntary non-profit - Private
+56302,COMMUNITY HOSPITAL,2351 'G' ROAD,GRAND JUNCTION,CO,81505,MESA,(970) 256-6201,Acute Care Hospitals,Voluntary non-profit - Private
+76994,OSS ORTHOPAEDIC HOSPITAL,1861 POWDER MILL RD,YORK,PA,17402,YORK,(717) 718-2000,Acute Care Hospitals,Proprietary
+78225,COGDELL MEMORIAL HOSPITAL,1700 COGDELL BLVD,SNYDER,TX,79549,SCURRY,(325) 574-7437,Critical Access Hospitals,Government - Hospital District or Authority
+50405,NORTHWEST TEXAS HOSPITAL,1501 S  COULTER ST,AMARILLO,TX,79106,POTTER,(806) 354-1110,Acute Care Hospitals,Voluntary non-profit - Private
+76247,ALVARADO HOSPITAL MEDICAL CENTER,6655 ALVARADO ROAD,SAN DIEGO,CA,92120,SAN DIEGO,(619) 229-3172,Acute Care Hospitals,Proprietary
+21268,ARKANSAS CHILDREN'S HOSPITAL,"1 CHILDREN'S WAY, SLOT 301",LITTLE ROCK,AR,72202,PULASKI,(501) 364-1100,Childrens,Voluntary non-profit - Private
+61628,EVANGELICAL COMMUNITY HOSPITAL,ONE HOSPITAL DRIVE,LEWISBURG,PA,17837,UNION,(570) 522-2200,Acute Care Hospitals,Voluntary non-profit - Other
+33872,MEMORIAL HERMANN SUGAR LAND HOSPITAL,17500 W GRAND PARKWAY SOUTH,SUGAR LAND,TX,77479,FORT BEND,(281) 725-5000,Acute Care Hospitals,Voluntary non-profit - Private
+54334,NAVOS,2600 SOUTHWEST HOLDEN,SEATTLE,WA,98126,KING,(206) 933-7299,Psychiatric,Voluntary non-profit - Private
+57252,JEFFERSON MEDICAL CENTER,300 SOUTH PRESTON STREET,RANSON,WV,25438,JEFFERSON,(304) 728-1600,Critical Access Hospitals,Voluntary non-profit - Private
+19504,UNITY MEDICAL AND SURGICAL HOSPITAL,4455 EDISON LAKES PKWY,MISHAWAKA,IN,46545,ST. JOSEPH,(574) 231-6800,Acute Care Hospitals,Physician
+30428,POPLAR COMMUNITY HOSPITAL,211 H ST E,POPLAR,MT,59255,ROOSEVELT,(406) 768-6100,Critical Access Hospitals,Voluntary non-profit - Private
+78226,"DESERT PARKWAY BEHAVIORAL HEALTHCARE HOSPITAL, LLC",3247 S MARYLAND PARKWAY,LAS VEGAS,NV,89109,CLARK,(248) 905-5096,Psychiatric,Proprietary
+29880,BRANDON REGIONAL HOSPITAL,119 OAKFIELD DR,BRANDON,FL,33511,HILLSBOROUGH,(813) 681-5551,Acute Care Hospitals,Proprietary
+80306,HOOPESTON COMMUNITY MEMORIAL HOSPITAL,701 EAST ORANGE STREET,HOOPESTON,IL,60942,VERMILION,(217) 283-5531,Critical Access Hospitals,Voluntary non-profit - Private
+45829,MOBILE INFIRMARY MEDICAL CENTER,5 MOBILE INFIRMARY CIRCLE,MOBILE,AL,36652,MOBILE,(251) 435-4700,Acute Care Hospitals,Voluntary non-profit - Private
+73250,PLATEAU MEDICAL CENTER,"430 MAIN STREET, WEST",OAK HILL,WV,25901,FAYETTE,(304) 469-8600,Critical Access Hospitals,Proprietary
+62564,STRATEGIC BEHAVIORAL CENTER-LELAND,2050 MERCANTILE DRIVE,LELAND,NC,28451,BRUNSWICK,(910) 371-2500,Psychiatric,Proprietary
+89493,SAMUEL SIMMONDS MEMORIAL HOSPITAL,7000 UULA ST,BARROW,AK,99723,NORTH SLOPE BOROUH,(907) 852-4611,Critical Access Hospitals,Government - Federal
+12175,SATANTA DISTRICT HOSPITAL,CHEYENNE & APACHE,SATANTA,KS,67870,HASKELL,(620) 649-2761,Critical Access Hospitals,Government - Hospital District or Authority
+80354,MONTGOMERY COUNTY MEMORIAL HOSPITAL,2301 EASTERN AVENUE,RED OAK,IA,51566,MONTGOMERY,(712) 623-7000,Critical Access Hospitals,Government - Local
+63443,MH ST JOSEPH WARREN HOSPITAL,667 EASTLAND AVE SE,WARREN,OH,44481,TRUMBULL,(330) 841-4016,Acute Care Hospitals,Voluntary non-profit - Private
+66355,BELL HOSPITAL,901 LAKESHORE DRIVE,ISHPEMING,MI,49849,MARQUETTE,(906) 486-4431,Critical Access Hospitals,Proprietary
+21490,BAPTIST MEMORIAL HOSPITAL UNION CITY,"1201 BISHOP ST, PO BOX 310",UNION CITY,TN,38261,OBION,(731) 885-2410,Acute Care Hospitals,Voluntary non-profit - Private
+93618,ST LUKES HOSPITAL OF KANSAS CITY,4401 WORNALL ROAD,KANSAS CITY,MO,64111,JACKSON,(816) 932-2000,Acute Care Hospitals,Voluntary non-profit - Private
+39225,TRINITY MEDICAL CTR EAST &TRINITY MEDICAL CTR WEST,380 SUMMIT AVENUE,STEUBENVILLE,OH,43952,JEFFERSON,(740) 283-7000,Acute Care Hospitals,Voluntary non-profit - Other
+56259,LAKESIDE BEHAVIORAL HEALTH SYSTEM,2911 BRUNSWICK RD,MEMPHIS,TN,38133,SHELBY,(901) 377-4700,Psychiatric,Voluntary non-profit - Church
+46569,WYOMING BEHAVIORAL INSTITUTE,2521 EAST 15TH STREET,CASPER,WY,82609,NATRONA,(307) 237-7444,Psychiatric,Proprietary
+16005,FOND DU LAC COUNTY ACUTE PSYCH UNIT,459 E FIRST ST,FOND DU LAC,WI,54935,FOND DU LAC,(920) 929-3500,Psychiatric,Government - Local
+46271,UNIVERSITY MEDICAL CENTER NEW ORLEANS,2000 CANAL STREET,NEW ORLEANS,LA,70112,ORLEANS,(504) 903-3000,Acute Care Hospitals,Voluntary non-profit - Private
+54078,UNITED MEMORIAL MEDICAL CENTER,510 W TIDWELL,HOUSTON,TX,77091,HARRIS,(713) 691-1111,Acute Care Hospitals,Physician
+30230,HARRISON MEMORIAL HOSPITAL,2520 CHERRY AVENUE,BREMERTON,WA,98310,KITSAP,(360) 377-3911,Acute Care Hospitals,Voluntary non-profit - Private
+41807,WOMEN'S HOSPITAL THE,4199 GATEWAY BLVD,NEWBURGH,IN,47630,WARRICK,(812) 842-4200,Acute Care Hospitals,Proprietary
+14690,NEW HANOVER REGIONAL MEDICAL CENTER,2131 S 17TH ST BOX 9000,WILMINGTON,NC,28402,NEW HANOVER,(910) 343-7000,Acute Care Hospitals,Government - Local
+45323,BLUE MOUNTAIN HOSPITAL,170 FORD ROAD,JOHN DAY,OR,97845,GRANT,(541) 575-1311,Critical Access Hospitals,Government - Hospital District or Authority
+29583,BAYLOR SCOTT & WHITE TEXAS SPINE & JOINT HOSPITAL,1814 ROSELAND BOULEVARD,TYLER,TX,75701,SMITH,(903) 525-3300,Acute Care Hospitals,Physician
+32439,BIG SANDY MEDICAL CENTER,166 MONTANA AVE E,BIG SANDY,MT,59520,CHOUTEAU,(406) 378-2188,Critical Access Hospitals,Voluntary non-profit - Private
+75174,BEHAVIORAL HOSPITAL OF BELLAIRE,"5314 DASHWOOD, SUITE 200",HOUSTON,TX,77081,HARRIS,(713) 600-9500,Psychiatric,Proprietary
+21913,OCEANS BEHAVIORAL HOSPITAL OF LUFKIN LLC,302 GOBBLERS KNOB RD,LUFKIN,TX,75904,ANGELINA,(936) 632-2276,Psychiatric,Proprietary
+12513,SOUTHERN REGIONAL MEDICAL CENTER,"11 UPPER RIVERDALE ROAD, SW",RIVERDALE,GA,30274,CLAYTON,(770) 991-8160,Acute Care Hospitals,Voluntary non-profit - Private
+87859,BAPTIST HEALTH MEDICAL CENTER-ARKADELPHIA,3050 TWIN RIVERS DRIVE,ARKADELPHIA,AR,71923,CLARK,(870) 245-2622,Critical Access Hospitals,Voluntary non-profit - Private
+86936,SOUTHERN VIRGINIA MENTAL HEALTH INSTITUTE,382 TAYLOR DRIVE,DANVILLE,VA,24541,DANVILLE CITY,(434) 799-6220,Psychiatric,Government - State
+66513,ARIZONA STATE HOSPITAL,2500 EAST VAN BUREN STREET,PHOENIX,AZ,85008,MARICOPA,(602) 220-6000,Psychiatric,Government - State
+45607,MERCY HOSPITAL SPRINGFIELD,1235 E CHEROKEE,SPRINGFIELD,MO,65804,GREENE,(417) 820-2000,Acute Care Hospitals,Voluntary non-profit - Private
+91983,BINGHAM MEMORIAL HOSPITAL,98 POPLAR STREET,BLACKFOOT,ID,83221,BINGHAM,(208) 785-3804,Critical Access Hospitals,Voluntary non-profit - Private
+65421,PORTNEUF MEDICAL CENTER,777 HOSPITAL WAY,POCATELLO,ID,83201,BANNOCK,(208) 239-1000,Acute Care Hospitals,Proprietary
+83383,ARBOR HEALTH MORTON HOSPITAL,521 ADAMS STREET,MORTON,WA,98356,LEWIS,(360) 496-5112,Critical Access Hospitals,Government - Hospital District or Authority
+12453,KAISER FOUNDATION HOSPITAL - WOODLAND HILLS,5601 DE SOTO AVENUE,WOODLAND HILLS,CA,91367,LOS ANGELES,(818) 719-3800,Acute Care Hospitals,Voluntary non-profit - Private
+52510,FRANCISCAN HEALTH MOORESVILLE,1201 HADLEY RD,MOORESVILLE,IN,46158,MORGAN,(317) 831-1160,Acute Care Hospitals,Voluntary non-profit - Church
+17779,WHEATLAND MEMORIAL HOSPITAL,530 3RD ST NW,HARLOWTON,MT,59036,WHEATLAND,(406) 632-4351,Critical Access Hospitals,Government - Local
+21195,NORTHWEST HEALTH PHYSICIANS SPECIALTY HOSPITAL,3873 NORTH PARKVIEW DRIVE,FAYETTEVILLE,AR,72703,WASHINGTON,(479) 571-7002,Acute Care Hospitals,Proprietary
+18605,LINCOLN HEALTH,35 MILES STREET,DAMARISCOTTA,ME,4543,LINCOLN,(207) 563-1234,Critical Access Hospitals,Voluntary non-profit - Private
+15142,BAYLOR SCOTT AND WHITE MEDICAL CENTER UPTOWN,2727 EAST LEMMON AVENUE BUILDING I,DALLAS,TX,75204,DALLAS,(214) 443-3000,Acute Care Hospitals,Proprietary
+10816,LAKE MARTIN COMMUNITY HOSPITAL,201 MARIARDEN ROAD,DADEVILLE,AL,36853,TALLAPOOSA,(256) 825-7821,Acute Care Hospitals,Proprietary
+32003,MADISON HEALTH,210 NORTH MAIN STREET,LONDON,OH,43140,MADISON,(740) 845-7000,Acute Care Hospitals,Voluntary non-profit - Private
+40504,MOUNTAINVIEW HOSPITAL,3100 N TENAYA WAY,LAS VEGAS,NV,89128,CLARK,(702) 255-5065,Acute Care Hospitals,Proprietary
+37259,SHARP CORONADO HOSPITAL AND HLTHCR CTR,250 PROSPECT PLACE,CORONADO,CA,92118,SAN DIEGO,(619) 435-6251,Acute Care Hospitals,Proprietary
+75206,HIGHLAND HOSPITAL,1000 SOUTH AVENUE,ROCHESTER,NY,14620,MONROE,(585) 341-6736,Acute Care Hospitals,Voluntary non-profit - Private
+75083,CHILDREN'S HOSPITAL OF ORANGE COUNTY,1201 W LA VETA AVE,ORANGE,CA,92868,ORANGE,(714) 997-3000,Childrens,Voluntary non-profit - Other
+86159,PANA COMMUNITY HOSPITAL,101 E NINTH STREET,PANA,IL,62557,CHRISTIAN,(217) 562-2131,Critical Access Hospitals,Voluntary non-profit - Private
+91092,MOUNT ST MARY'S HOSPITAL AND  HEALTH CENTER,5300 MILITARY ROAD,LEWISTON,NY,14092,NIAGARA,(716) 297-4800,Acute Care Hospitals,Voluntary non-profit - Church
+11040,BON SECOURS HOSPITAL,2000 W BALTIMORE STREET,BALTIMORE,MD,21223,BALTIMORE CITY,(410) 362-3000,Acute Care Hospitals,Voluntary non-profit - Private
+31030,LANDMANN-JUNGMAN MEMORIAL HOSPITAL - CAH,600 BILLARS ST,SCOTLAND,SD,57059,BON HOMME,(605) 583-2226,Critical Access Hospitals,Government - Local
+93516,CHRISTUS JASPER MEMORIAL HOSPITAL,1275 MARVIN HANCOCK DRIVE,JASPER,TX,75951,JASPER,(409) 384-5461,Acute Care Hospitals,Voluntary non-profit - Private
+12607,MEDICAL CITY DENTON,3535 SOUTH I35 EAST,DENTON,TX,76210,DENTON,(940) 384-3535,Acute Care Hospitals,Proprietary
+23227,SPRINGHILL MEMORIAL HOSPITAL,3719 DAUPHIN STREET,MOBILE,AL,36608,MOBILE,(251) 344-9630,Acute Care Hospitals,Proprietary
+45162,SANTA ROSA MEMORIAL HOSPITAL,1165 MONTGOMERY DR,SANTA ROSA,CA,95405,SONOMA,(707) 525-5300,Acute Care Hospitals,Voluntary non-profit - Private
+92161,EMORY HILLANDALE HOSPITAL,2801 DEKALB MEDICAL PARKWAY,LITHONIA,GA,30058,DE KALB,(404) 501-8040,Acute Care Hospitals,Government - Hospital District or Authority
+10404,CLEVELAND AREA HOSPITAL,1401 WEST PAWNEE,CLEVELAND,OK,74020,PAWNEE,(918) 358-2501,Critical Access Hospitals,Government - Hospital District or Authority
+40896,INDIANA UNIVERSITY HEALTH BALL MEMORIAL HOSPITAL,2401 UNIVERSITY AVE,MUNCIE,IN,47303,DELAWARE,(765) 747-3111,Acute Care Hospitals,Voluntary non-profit - Private
+12840,GUNDERSEN TRI-COUNTY HOSPITAL AND CLINICS,18601 LINCOLN ST,WHITEHALL,WI,54773,TREMPEALEAU,(715) 538-4361,Critical Access Hospitals,Voluntary non-profit - Private
+72435,OAKBEND MEDICAL CENTER,1705 JACKSON ST,RICHMOND,TX,77469,FORT BEND,(281) 341-3000,Acute Care Hospitals,Government - Hospital District or Authority
+45584,BAPTIST MEDICAL CENTER SOUTH,2105 EAST SOUTH BOULEVARD,MONTGOMERY,AL,36116,MONTGOMERY,(334) 288-2100,Acute Care Hospitals,Government - Hospital District or Authority
+33354,ATLANTIC GENERAL HOSPITAL,9733 HEALTHWAY DRIVE,BERLIN,MD,21811,WORCESTER,(410) 641-9600,Acute Care Hospitals,Voluntary non-profit - Private
+46332,F W HUSTON MEDICAL CENTER,408 DELAWARE STREET,WINCHESTER,KS,66097,JEFFERSON,(913) 774-4340,Critical Access Hospitals,Voluntary non-profit - Private
+77140,HUNTERDON MEDICAL CENTER,2100 WESCOTT DRIVE,FLEMINGTON,NJ,8822,HUNTERDON,(908) 788-6100,Acute Care Hospitals,Voluntary non-profit - Private
+44438,MASON GENERAL HOSPITAL & FAMILY OF CLINICS,901 MT VIEW DRIVE,SHELTON,WA,98584,MASON,(360) 426-1611,Critical Access Hospitals,Government - Hospital District or Authority
+37758,TEXAS HEALTH HUGULEY HOSPITAL FORT WORTH SOUTH,11801 SOUTH FREEWAY,BURLESON,TX,76028,JOHNSON,(817) 568-5317,Acute Care Hospitals,Voluntary non-profit - Church
+24518,MERCY MEDICAL CENTER-NEW HAMPTON,308 NORTH MAPLE AVENUE,NEW HAMPTON,IA,50659,CHICKASAW,(641) 394-4121,Critical Access Hospitals,Voluntary non-profit - Church
+13179,SUTTER TRACY COMMUNITY HOSPITAL,1420 NORTH TRACY BLVD,TRACY,CA,95376,SAN JOAQUIN,(209) 835-1500,Acute Care Hospitals,Voluntary non-profit - Private
+25070,PEACEHEALTH SOUTHWEST MEDICAL CENTER,400 NE MOTHER JOSEPH PLACE,VANCOUVER,WA,98668,CLARK,(360) 256-2000,Acute Care Hospitals,Voluntary non-profit - Private
+79209,"OKLAHOMA HEART HOSPITAL SOUTH, LLC",5200 EAST I-240 SERVICE ROAD,OKLAHOMA CITY,OK,73135,OKLAHOMA,(405) 628-6000,Acute Care Hospitals,Physician
+52133,NORTHWEST MEDICAL CENTER,2801 N STATE RD 7,MARGATE,FL,33063,BROWARD,(954) 974-0400,Acute Care Hospitals,Proprietary
+32967,NORTHERN NAVAJO MEDICAL CENTER,US HWY 491 NORTH,SHIPROCK,NM,87420,SAN JUAN,(505) 368-6001,Acute Care Hospitals,Government - Federal
+80427,ASTRIA SUNNYSIDE HOSPITAL,1016 TACOMA AVENUE,SUNNYSIDE,WA,98944,YAKIMA,(509) 837-1500,Critical Access Hospitals,Voluntary non-profit - Private
+63993,CHICKASAW NATION MEDICAL CENTER,1921 STONECIPHER BLVD,ADA,OK,74820,PONTOTOC,(580) 436-3980,Acute Care Hospitals,Voluntary non-profit - Other
+60782,SIERRA NEVADA MEMORIAL HOSPITAL,155 GLASSON WAY,GRASS VALLEY,CA,95945,NEVADA,(530) 274-6000,Acute Care Hospitals,Voluntary non-profit - Other
+45123,GRANDVIEW MEDICAL CENTER,3690 GRANDVIEW PARKWAY,BIRMINGHAM,AL,35243,JEFFERSON,(205) 971-1000,Acute Care Hospitals,Proprietary
+62520,"HOSPITAL PAVIA HATO REY, INC",AVE PONCE DE LEON 435,HATO REY,PR,919,SAN JUAN,(787) 754-0909,Acute Care Hospitals,Voluntary non-profit - Private
+26891,BAYSTATE WING HOSPITAL AND MEDICAL CENTERS,40 WRIGHT STREET,PALMER,MA,1069,HAMPDEN,(413) 283-7651,Acute Care Hospitals,Voluntary non-profit - Other
+48423,LEHIGH VALLEY HOSPITAL,1200 SOUTH CEDAR CREST BOULEVARD,ALLENTOWN,PA,18105,LEHIGH,(610) 402-2273,Acute Care Hospitals,Voluntary non-profit - Private
+85573,CHAPMAN GLOBAL MEDICAL CENTER,2601 E CHAPMAN AVE,ORANGE,CA,92869,ORANGE,(714) 633-0011,Acute Care Hospitals,Proprietary
+87528,PARK PLACE SURGICAL HOSPITAL,4811 AMBASSADOR CAFFERY PARKWAY,LAFAYETTE,LA,70508,LAFAYETTE,(337) 237-8119,Acute Care Hospitals,Physician
+47114,TRIDENT MEDICAL CENTER,9330 MEDICAL PLAZA DR,CHARLESTON,SC,29406,CHARLESTON,(843) 847-4100,Acute Care Hospitals,Proprietary
+55375,HOSPITAL PAVIA SANTURCE,CALLE PROFESOR AUGUSTO RODRIGUEZ #1462,FERNANDEZ JUNCOS,PR,910,SAN JUAN,(787) 641-1616,Acute Care Hospitals,Voluntary non-profit - Private
+43151,STURGIS HOSPITAL,916 MYRTLE AVE,STURGIS,MI,49091,ST. JOSEPH,(269) 651-7824,Acute Care Hospitals,Government - Local
+41145,CRAWFORD COUNTY MEMORIAL HOSPITAL,100 MEDICAL PARKWAY,DENISON,IA,51442,CRAWFORD,(712) 265-2500,Critical Access Hospitals,Voluntary non-profit - Other
+42209,UC SAN DIEGO HEALTH HILLCREST - HILLCREST MED CTR,200 WEST ARBOR DRIVE,SAN DIEGO,CA,92103,SAN DIEGO,(619) 543-6222,Acute Care Hospitals,Voluntary non-profit - Other
+76241,ASPIRUS WAUSAU HOSPITAL,333 PINE RIDGE BLVD,WAUSAU,WI,54401,MARATHON,(715) 847-2121,Acute Care Hospitals,Proprietary
+53695,"LAKELAND HOSPITAL, ST JOSEPH",1234 NAPIER AVENUE,ST JOSEPH,MI,49085,BERRIEN,(269) 983-8300,Acute Care Hospitals,Voluntary non-profit - Private
+54514,SHORE MEDICAL CENTER,100 MEDICAL CENTER WAY,SOMERS POINT,NJ,8244,ATLANTIC,(609) 653-3545,Acute Care Hospitals,Voluntary non-profit - Private
+75549,CASTLEVIEW HOSPITAL,300 NORTH HOSPITAL DRIVE,PRICE,UT,84501,CARBON,(435) 637-4800,Acute Care Hospitals,Proprietary
+20855,GENOA COMMUNITY HOSPITAL,"P O BOX 310, 706 EWING AVE",GENOA,NE,68640,PLATTE,(402) 993-2283,Critical Access Hospitals,Government - Local
+39046,COULEE MEDICAL CENTER,411 FORTUYN ROAD,GRAND COULEE,WA,99133,GRANT,(509) 633-1753,Critical Access Hospitals,Government - Hospital District or Authority
+50277,COMANCHE COUNTY MEMORIAL HOSPITAL,3401 WEST GORE BLVD,LAWTON,OK,73505,COMANCHE,(580) 355-8620,Acute Care Hospitals,Government - Hospital District or Authority
+93291,BLESSING HOSPITAL,BROADWAY ST & N 11TH ST,QUINCY,IL,62305,ADAMS,(217) 223-1200,Acute Care Hospitals,Voluntary non-profit - Private
+40959,DICKINSON COUNTY MEMORIAL HOSPITAL,1721 S STEPHENSON AVE,IRON MOUNTAIN,MI,49801,DICKINSON,(906) 774-1313,Acute Care Hospitals,Government - Local
+37855,COMMUNITY FIRST MEDICAL CENTER,5645 W ADDISON STREET,CHICAGO,IL,60634,COOK,(773) 282-7000,Acute Care Hospitals,Voluntary non-profit - Private
+77399,SALT LAKE BEHAVIORAL HEALTH,3802 SOUTH 700 EAST,SALT LAKE CITY,UT,84106,SALT LAKE,(801) 264-6035,Psychiatric,Proprietary
+85850,CENTRASTATE MEDICAL CENTER,901 WEST MAIN STREET,FREEHOLD,NJ,7728,MONMOUTH,(732) 431-2000,Acute Care Hospitals,Voluntary non-profit - Private
+82667,NORTH RUNNELS HOSPITAL,7821 EAST HIGHWAY 153,WINTERS,TX,79567,RUNNELS,(325) 754-4553,Critical Access Hospitals,Government - Hospital District or Authority
+66226,NORTHWESTERN MEDICINE MCHENRY HOSPITAL,4201 MEDICAL CENTER DRIVE,MCHENRY,IL,60050,MC HENRY,(815) 344-5000,Acute Care Hospitals,Voluntary non-profit - Other
+43334,BUCYRUS COMMUNITY HOSPITAL,629 NORTH SANDUSKY AVENUE,BUCYRUS,OH,44820,CRAWFORD,(419) 562-4677,Critical Access Hospitals,Voluntary non-profit - Other
+73281,HOSPITAL METROPOLITANO DR TITO MATTEI,ROAD 128 KM 1.0,YAUCO,PR,698,YAUCO,(787) 856-1000,Acute Care Hospitals,Proprietary
+85402,SURPRISE VALLEY COMMUNITY HOSPITAL,741 NORTH MAIN STREET,CEDARVILLE,CA,96104,MODOC,(530) 279-6111,Critical Access Hospitals,Government - Local
+60014,SAINT MARY'S HOSPITAL,56 FRANKLIN STEET,WATERBURY,CT,6706,NEW HAVEN,(203) 709-6020,Acute Care Hospitals,Voluntary non-profit - Church
+72813,BLUFFTON HOSPITAL,139 GARAU STREET,BLUFFTON,OH,45817,ALLEN,(419) 358-9010,Critical Access Hospitals,Voluntary non-profit - Private
+57657,ASSURANCE HEALTH CINCINNATI LLC,11690 GROOMS ROAD,CINCINNATI,OH,45242,HAMILTON,(513) 519-4947,Psychiatric,Proprietary
+32153,HOSPITAL HERMANOS MELENDEZ INC,CARRETERA #2 KM 11 7,BAYAMON,PR,960,BAYAMON,(787) 620-8181,Acute Care Hospitals,Proprietary
+92513,BANNER DESERT MEDICAL CENTER,1400 SOUTH  DOBSON ROAD,MESA,AZ,85202,MARICOPA,(480) 412-3000,Acute Care Hospitals,Voluntary non-profit - Private
+58330,FOUR WINDS OF SARATOGA,30 CRESCENT AVE,SARATOGA SPRINGS,NY,12866,SARATOGA,(518) 584-3600,Psychiatric,Proprietary
+71509,PROGRESS WEST HOSPITAL,2 PROGRESS POINT PKWY,O FALLON,MO,63368,ST. CHARLES,(636) 344-1000,Acute Care Hospitals,Voluntary non-profit - Private
+23795,BUTLER HOSPITAL,345 BLACKSTONE BLVD,PROVIDENCE,RI,2906,PROVIDENCE,(401) 455-6270,Psychiatric,Voluntary non-profit - Private
+56126,KERSHAWHEALTH,1315 ROBERTS STREET,CAMDEN,SC,29020,KERSHAW,(803) 432-4311,Acute Care Hospitals,Proprietary
+36781,SAMARITAN MEDICAL CENTER,830 WASHINGTON STREET,WATERTOWN,NY,13601,JEFFERSON,(315) 785-4121,Acute Care Hospitals,Voluntary non-profit - Private
+82860,PROVIDENCE HOSPITAL OF NORTH HOUSTON LLC,16750 RED OAK DRIVE,HOUSTON,TX,77090,HARRIS,(281) 453-7916,Acute Care Hospitals,Proprietary
+49134,THE HEART HOSPITAL BAYLOR PLANO,1100 ALLIED DRIVE,PLANO,TX,75093,COLLIN,(469) 814-3278,Acute Care Hospitals,Proprietary
+34641,NORTH SUBURBAN MEDICAL CENTER,9191 GRANT ST,THORNTON,CO,80229,ADAMS,(303) 451-7800,Acute Care Hospitals,Voluntary non-profit - Private
+67543,MADISON REGIONAL HEALTH SYSTEM,323 SW 10TH ST,MADISON,SD,57042,LAKE,(605) 256-6551,Critical Access Hospitals,Voluntary non-profit - Private
+33811,ADENA PIKE MEDICAL CENTER,100 DAWN LANE,WAVERLY,OH,45690,PIKE,(740) 947-2186,Critical Access Hospitals,Voluntary non-profit - Private
+34480,KING'S DAUGHTERS' MEDICAL CENTER,2201 LEXINGTON AVENUE,ASHLAND,KY,41101,BOYD,(606) 408-4401,Acute Care Hospitals,Voluntary non-profit - Private
+60338,PRAIRIE LAKES HOSPITAL,401 9TH AVENUE NW  POST OFFICE BOX 1210,WATERTOWN,SD,57201,CODINGTON,(605) 882-7000,Acute Care Hospitals,Voluntary non-profit - Private
+79248,SAINT VINCENT MEDICAL CENTER,2131 W 3RD ST,LOS ANGELES,CA,90057,LOS ANGELES,(213) 484-7111,Acute Care Hospitals,Voluntary non-profit - Church
+29656,ST LUKES REGIONAL MEDICAL CENTER,2720 STONE PARK BOULEVARD,SIOUX CITY,IA,51104,WOODBURY,(712) 279-3500,Acute Care Hospitals,Voluntary non-profit - Private
+43169,CROSBYTON CLINIC HOSPITAL,710 WEST MAIN STREET,CROSBYTON,TX,79322,CROSBY,(806) 675-2382,Critical Access Hospitals,Voluntary non-profit - Private
+24261,GORDON MEMORIAL HOSPITAL DISTRICT,300 EAST 8TH ST,GORDON,NE,69343,SHERIDAN,(308) 282-0401,Critical Access Hospitals,Government - Hospital District or Authority
+78797,EXETER HOSPITAL INC,5 ALUMNI DRIVE,EXETER,NH,3833,ROCKINGHAM,(603) 778-7311,Acute Care Hospitals,Voluntary non-profit - Private
+87666,MOAB REGIONAL HOSPITAL,450 WEST WILLIAMS WAY,MOAB,UT,84532,GRAND,(435) 719-3500,Critical Access Hospitals,Voluntary non-profit - Private
+33542,SUMNER COMMUNITY HOSPITAL,1323 NORTH A STREET,WELLINGTON,KS,67152,SUMNER,(620) 326-7451,Acute Care Hospitals,Government - Local
+93509,CHRISTUS SPOHN HOSPITAL CORPUS CHRISTI,600 ELIZABETH STREET,CORPUS CHRISTI,TX,78404,NUECES,(361) 902-4103,Acute Care Hospitals,Voluntary non-profit - Private
+24125,ADVENTHEALTH GORDON,1035 RED BUD ROAD,CALHOUN,GA,30701,GORDON,(706) 629-2895,Acute Care Hospitals,Voluntary non-profit - Church
+36122,WELLSTAR ATLANTA MEDICAL CENTER,"303 PARKWAY DRIVE, NE",ATLANTA,GA,30312,FULTON,(404) 265-4000,Acute Care Hospitals,Proprietary
+90262,CAROLINAS HEALTHCARE SYSTEM NORTHEAST,920 CHURCH ST N,CONCORD,NC,28025,CABARRUS,(704) 783-3000,Acute Care Hospitals,Government - Hospital District or Authority
+68621,UPPER VALLEY MEDICAL CENTER,3130 NORTH COUNTY ROAD 25A,TROY,OH,45373,MIAMI,(937) 440-7853,Acute Care Hospitals,Voluntary non-profit - Private
+26229,ST DAVID'S SOUTH AUSTIN MEDICAL CENTER,901 WEST BEN WHITE BLVD,AUSTIN,TX,78704,TRAVIS,(512) 448-7107,Acute Care Hospitals,Proprietary
+17499,ROANE GENERAL HOSPITAL,200 HOSPITAL DRIVE,SPENCER,WV,25276,ROANE,(304) 927-4444,Critical Access Hospitals,Voluntary non-profit - Private
+82070,CASCADE MEDICAL CENTER,402 LAKE CASCADE PARKWAY,CASCADE,ID,83611,VALLEY,(208) 382-4242,Critical Access Hospitals,Government - Hospital District or Authority
+90251,WINN PARISH MEDICAL CENTER,301 W BOUNDARY AVE,WINNFIELD,LA,71483,WINN,(318) 648-3000,Acute Care Hospitals,Proprietary
+43063,BELOIT MEMORIAL HOSPITAL,1969 W HART RD,BELOIT,WI,53511,ROCK,(608) 364-5011,Acute Care Hospitals,Voluntary non-profit - Private
+59918,FHN MEMORIAL HOSPITAL,1045 WEST STEPHENSON STREET,FREEPORT,IL,61032,STEPHENSON,(815) 599-6000,Acute Care Hospitals,Voluntary non-profit - Private
+48921,OCEANS BEHAVIORAL HOSPITAL OF LONGVIEW,615 CLINIC DR,LONGVIEW,TX,75605,GREGG,(903) 212-3105,Psychiatric,Proprietary
+29949,LEA REGIONAL MEDICAL CENTER,5419 N LOVINGTON HIGHWAY,HOBBS,NM,88240,LEA,(575) 492-5000,Acute Care Hospitals,Proprietary
+47508,D W MCMILLAN MEMORIAL HOSPITAL,1301 BELLEVILLE AVENUE,BREWTON,AL,36426,ESCAMBIA,(251) 867-8061,Acute Care Hospitals,Government - Hospital District or Authority
+65533,UNIVERSITY MEDICAL CENTER-MESABI/ MESABA CLINICS,750 EAST 34TH ST,HIBBING,MN,55746,ST. LOUIS,(218) 362-6730,Acute Care Hospitals,Voluntary non-profit - Other
+33868,HEDRICK MEDICAL CENTER,2799 NORTH WASHINGTON STREET,CHILLICOTHE,MO,64601,LIVINGSTON,(660) 646-1480,Critical Access Hospitals,Voluntary non-profit - Private
+60547,RIPON MEDICAL CENTER,845 PARKSIDE ST,RIPON,WI,54971,FOND DU LAC,(920) 748-3101,Critical Access Hospitals,Voluntary non-profit - Private
+74830,PARKLAND HEALTH CENTER - BONNE TERRE,7245 RAIDER ROAD,BONNE TERRE,MO,63628,ST. FRANCOIS,(573) 358-1400,Critical Access Hospitals,Voluntary non-profit - Private
+65889,COLUMBUS COMMUNITY HOSPITAL,1515 PARK AVE,COLUMBUS,WI,53925,COLUMBIA,(920) 623-2200,Critical Access Hospitals,Voluntary non-profit - Private
+77190,LIFEBRITE COMMUNITY HOSPITAL OF STOKES,1570 NC 8 & 89 HWY NORTH,DANBURY,NC,27016,STOKES,(336) 593-2831,Critical Access Hospitals,Proprietary
+11091,"JANE PHILLIPS NOWATA HOSPITAL, INC",237 SOUTH LOCUST STREET,NOWATA,OK,74048,NOWATA,(918) 273-3102,Critical Access Hospitals,Voluntary non-profit - Private
+51864,"ASPIRE BEHAVIORAL HEALTH OF CONROE, LLC","2006 SOUTH LOOP 336 WEST, SUITE 500",CONROE,TX,77304,MONTGOMERY,(936) 647-3500,Acute Care Hospitals,Physician
+46059,UNITY MEDICAL CENTER,164 W 13TH STREET,GRAFTON,ND,58237,WALSH,(701) 352-1620,Critical Access Hospitals,Voluntary non-profit - Private
+28497,GOOD SAMARITAN HOSPITAL,2425 SAMARITAN DRIVE,SAN JOSE,CA,95124,SANTA CLARA,(408) 559-2011,Acute Care Hospitals,Proprietary
+86846,DEQUINCY MEMORIAL HOSPITAL,110 WEST 4TH STREET,DEQUINCY,LA,70633,CALCASIEU,(337) 786-1200,Critical Access Hospitals,Proprietary
+41839,PIEDMONT HOSPITAL,1968 PEACHTREE RD NW,ATLANTA,GA,30309,FULTON,(404) 605-5000,Acute Care Hospitals,Voluntary non-profit - Private
+29100,HILLCREST MEDICAL CENTER,1120 SOUTH UTICA AVENUE,TULSA,OK,74104,TULSA,(918) 579-1000,Acute Care Hospitals,Proprietary
+64230,KAISER FOUNDATION HOSPITAL-SANTA CLARA,700 LAWRENCE EXPRESSWAY,SANTA CLARA,CA,95051,SANTA CLARA,(408) 236-6400,Acute Care Hospitals,Voluntary non-profit - Private
+55990,DANVILLE STATE HOSPITAL,50 KIRKBRIDE DRIVE,DANVILLE,PA,17821,MONTOUR,(570) 271-4500,Psychiatric,Government - State
+50392,NORTH KANSAS CITY HOSPITAL,2800 CLAY EDWARDS DRIVE,NORTH KANSAS CITY,MO,64116,CLAY,(816) 691-2000,Acute Care Hospitals,Government - Local
+27498,PROVIDENCE ST VINCENT MEDICAL CENTER,9205 SW BARNES ROAD,PORTLAND,OR,97225,WASHINGTON,(503) 216-2213,Acute Care Hospitals,Voluntary non-profit - Private
+52158,GRITMAN MEDICAL CENTER,700 SOUTH MAIN STREET,MOSCOW,ID,83843,LATAH,(208) 882-4511,Critical Access Hospitals,Voluntary non-profit - Private
+94188,PENINSULA REGIONAL MEDICAL CENTER,100 EAST CARROLL AVENUE,SALISBURY,MD,21801,WICOMICO,(410) 543-7111,Acute Care Hospitals,Voluntary non-profit - Private
+22423,DOCTORS HOSPITAL LLC,4901 COLLEGE BLVD,LEAWOOD,KS,66211,JOHNSON,(913) 529-1801,Acute Care Hospitals,Proprietary
+19745,GRADY MEMORIAL HOSPITAL,"80 JESSE HILL, JR DRIVE SE",ATLANTA,GA,30303,FULTON,(404) 616-4252,Acute Care Hospitals,Voluntary non-profit - Private
+53367,ST MARYS REGIONAL MEDICAL CENTER,1808 WEST MAIN STREET,RUSSELLVILLE,AR,72801,POPE,(479) 968-2841,Acute Care Hospitals,Proprietary
+76279,DUBLIN METHODIST HOSPITAL,7500 HOSPITAL AVENUE,DUBLIN,OH,43016,FRANKLIN,(614) 544-8000,Acute Care Hospitals,Voluntary non-profit - Private
+48513,UH CLEVELAND MEDICAL CENTER,11100 EUCLID AVENUE,CLEVELAND,OH,44106,CUYAHOGA,(216) 844-1000,Acute Care Hospitals,Voluntary non-profit - Private
+78669,ESSENTIA HEALTH ST JOSEPH'S MEDICAL CENTER,523 NORTH 3RD STREET,BRAINERD,MN,56401,CROW WING,(218) 829-2861,Acute Care Hospitals,Voluntary non-profit - Private
+63184,BRATTLEBORO RETREAT,ANNA MARSH LANE PO BOX 803,BRATTLEBORO,VT,5301,WINDHAM,(802) 257-7785,Psychiatric,Voluntary non-profit - Private
+40389,UNIVERSITY OF KENTUCKY HOSPITAL,800 ROSE STREET,LEXINGTON,KY,40536,FAYETTE,(859) 257-2278,Acute Care Hospitals,Government - State
+37811,MAYO CLINIC,4500 SAN PABLO RD,JACKSONVILLE,FL,32224,DUVAL,(904) 953-2000,Acute Care Hospitals,Voluntary non-profit - Private
+67383,CHILDREN'S HOSPITALS & CLINICS OF MN,2525 CHICAGO AVENUE SOUTH,MINNEAPOLIS,MN,55404,HENNEPIN,(612) 813-6112,Childrens,Voluntary non-profit - Private
+21646,BALLINGER MEMORIAL HOSPITAL,608 AVENUE B,BALLINGER,TX,76821,RUNNELS,(325) 365-2531,Critical Access Hospitals,Government - Hospital District or Authority
+86246,HARRISON COMMUNITY HOSPITAL,951 EAST MARKET STREET,CADIZ,OH,43907,HARRISON,(740) 942-4631,Critical Access Hospitals,Voluntary non-profit - Private
+33759,"CONNECTICUT HOSPICE INC,THE",100 DOUBLE BEACH ROAD,BRANFORD,CT,6405,NEW HAVEN,(203) 315-7500,Acute Care Hospitals,Voluntary non-profit - Private
+44622,SANTA CRUZ VALLEY REGIONAL HOSPITAL,4455 SOUTH I-19 FRONTAGE ROAD,GREEN VALLEY,AZ,85614,PIMA,(520) 393-4700,Acute Care Hospitals,Proprietary
+52577,SAMARITAN BEHAVIORAL CENTER,"5555 CONNER AVENUE, SUITE 3N",DETROIT,MI,48213,WAYNE,(313) 344-7730,Psychiatric,Voluntary non-profit - Private
+27183,PERSON MEMORIAL HOSPITAL,615 RIDGE RD,ROXBORO,NC,27573,PERSON,(336) 599-2121,Acute Care Hospitals,Proprietary
+18500,COTEAU DES PRAIRIES HEALTH CARE SYSTEM,205 ORCHARD DR,SISSETON,SD,57262,ROBERTS,(605) 698-7647,Critical Access Hospitals,Voluntary non-profit - Private
+30423,SUMMIT BEHAVIORAL HEALTHCARE,1101 SUMMIT ROAD,CINCINNATI,OH,45237,HAMILTON,(513) 948-3600,Psychiatric,Government - State
+18254,MCKEE MEDICAL CENTER,2000 BOISE AVE,LOVELAND,CO,80538,LARIMER,(970) 669-4640,Acute Care Hospitals,Voluntary non-profit - Private
+72123,THEDACARE REGIONAL MEDICAL CENTER - APPLETON INC,1818 N MEADE ST,APPLETON,WI,54911,OUTAGAMIE,(920) 731-4101,Acute Care Hospitals,Voluntary non-profit - Private
+77830,"SCHUYLER HOSPITAL, INC",220 STEUBEN STREET,MONTOUR FALLS,NY,14865,SCHUYLER,(607) 530-7121,Critical Access Hospitals,Voluntary non-profit - Private
+33311,GREYSTONE PARK PSYCH HOSP,59 KOCH AVENUE,GREYSTONE PARK,NJ,7950,MORRIS,(973) 538-1800,Psychiatric,Government - State
+18627,CLARK MEMORIAL HEALTH,1220 MISSOURI AVE,JEFFERSONVILLE,IN,47130,CLARK,(812) 283-2147,Acute Care Hospitals,Voluntary non-profit - Other
+28514,FAIRVIEW RIDGES HOSPITAL,201 EAST NICOLLET BOULEVARD,BURNSVILLE,MN,55337,DAKOTA,(952) 892-2101,Acute Care Hospitals,Voluntary non-profit - Church
+73749,GULF COAST MEDICAL CENTER LEE MEM HEALTH SYSTEM,13681 DOCTORS WAY,FORT MYERS,FL,33912,LEE,(239) 768-5000,Acute Care Hospitals,Government - Hospital District or Authority
+81283,LITTLE FALLS HOSPITAL,140 BURWELL STREET,LITTLE FALLS,NY,13365,HERKIMER,(315) 823-5261,Critical Access Hospitals,Voluntary non-profit - Private
+34530,BELLEVUE HOSPITAL,1400 WEST MAIN STREET,BELLEVUE,OH,44811,SANDUSKY,(419) 483-4040,Acute Care Hospitals,Voluntary non-profit - Other
+94861,BAUM HARMON MERCY HOSPITAL,255 N WELCH AVENUE,PRIMGHAR,IA,51245,OBRIEN,(712) 957-2300,Critical Access Hospitals,Voluntary non-profit - Church
+47765,VIRGINIA HOSPITAL CENTER,1701 NORTH GEORGE MASON DRIVE,ARLINGTON,VA,22205,ARLINGTON,(703) 558-5000,Acute Care Hospitals,Voluntary non-profit - Private
+16329,UNC LENOIR HEALTH CARE,100 AIRPORT RD,KINSTON,NC,28501,LENOIR,(252) 522-7000,Acute Care Hospitals,Voluntary non-profit - Private
+43568,SANFORD HOSPITAL WEBSTER - CAH,1401 W FIRST ST POST OFFICE BOX 489,WEBSTER,SD,57274,DAY,(605) 345-3336,Critical Access Hospitals,Voluntary non-profit - Private
+29735,EASTERN IDAHO REGIONAL MEDICAL CENTER,3100 CHANNING WAY,IDAHO FALLS,ID,83404,BONNEVILLE,(208) 529-6210,Acute Care Hospitals,Proprietary
+22095,ALLIANCE HEALTHCARE SYSTEM,1430 HIGHWAY 4 EAST / P O BOX 6000,HOLLY SPRINGS,MS,38635,MARSHALL,(662) 252-1212,Acute Care Hospitals,Physician
+14842,DOROTHEA DIX PSYCHIATRIC CENTER,656 STATE STREET,BANGOR,ME,4401,PENOBSCOT,(207) 941-4000,Psychiatric,Government - Local
+78060,MCALESTER REGIONAL HEALTH CENTER,ONE CLARK BASS BOULEVARD,MCALESTER,OK,74501,PITTSBURG,(918) 426-1800,Acute Care Hospitals,Voluntary non-profit - Other
+68534,MIDMICHIGAN MEDICAL CENTER-MIDLAND,4000 WELLNESS DRIVE,MIDLAND,MI,48670,MIDLAND,(989) 839-3000,Acute Care Hospitals,Voluntary non-profit - Other
+31347,MCLAREN CENTRAL MICHIGAN,1221 SOUTH DRIVE,MOUNT PLEASANT,MI,48858,ISABELLA,(989) 772-6700,Acute Care Hospitals,Voluntary non-profit - Private
+34727,BAYLOR SCOTT & WHITE MEDICAL CENTER HILLCREST,100 HILLCREST MEDICAL BLVD,WACO,TX,76712,MC LENNAN,(254) 202-2000,Acute Care Hospitals,Voluntary non-profit - Private
+20252,METHODIST MEDICAL CENTER OF ILLINOIS,221 N E GLEN OAK AVE,PEORIA,IL,61636,PEORIA,(309) 672-5522,Acute Care Hospitals,Voluntary non-profit - Private
+83604,SHARP MEMORIAL HOSPITAL,7901 FROST ST,SAN DIEGO,CA,92123,SAN DIEGO,(858) 939-3400,Acute Care Hospitals,Voluntary non-profit - Private
+87353,ST PETER'S HOSPITAL,315 SOUTH MANNING BOULEVARD,ALBANY,NY,12208,ALBANY,(518) 525-1550,Acute Care Hospitals,Voluntary non-profit - Private
+83284,VAN BUREN COUNTY HOSPITAL,304 FRANKLIN STREET,KEOSAUQUA,IA,52565,VAN BUREN,(319) 293-3171,Critical Access Hospitals,Government - Local
+10895,POMERADO HOSPITAL,15615 POMERADO ROAD,POWAY,CA,92064,SAN DIEGO,(858) 485-6511,Acute Care Hospitals,Government - Hospital District or Authority
+28869,CHILDREN'S HOSPITAL OF ALABAMA,1600 SEVENTH AVENUE SOUTH,BIRMINGHAM,AL,35233,JEFFERSON,(205) 939-9100,Childrens,Voluntary non-profit - Private
+57626,WAYNE HOSPITAL,835 SWEITZER STREET,GREENVILLE,OH,45331,DARKE,(937) 548-1141,Acute Care Hospitals,Voluntary non-profit - Private
+58436,BANNER DEL E. WEBB MEDICAL CENTER,14502 WEST MEEKER BOULEVARD,SUN CITY WEST,AZ,85375,MARICOPA,(623) 524-4000,Acute Care Hospitals,Voluntary non-profit - Private
+26675,DEPT OF STATE HOSPITALS - METROPOLITAN - PSY,11401 S NORWALK BLVD,NORWALK,CA,90650,LOS ANGELES,(562) 863-7011,Psychiatric,Government - State
+32601,KITTSON MEMORIAL HOSPITAL,1010 SOUTH BIRCH,HALLOCK,MN,56728,KITTSON,(218) 843-3612,Critical Access Hospitals,Voluntary non-profit - Private
+54777,ARKANSAS VALLEY REGIONAL MEDICAL CENTER,1100 CARSON AVENUE,LA JUNTA,CO,81050,OTERO,(719) 383-6000,Critical Access Hospitals,Voluntary non-profit - Private
+51986,MEMORIAL HOSPITAL WEST,703 N FLAMINGO RD,PEMBROKE PINES,FL,33028,BROWARD,(954) 436-5000,Acute Care Hospitals,Government - Hospital District or Authority
+57432,ADVENTIST HEALTH TEHACHAPI VALLEY,1100 MAGELLAN,TEHACHAPI,CA,93561,KERN,(661) 823-3000,Critical Access Hospitals,Government - Hospital District or Authority
+50689,MAUI MEMORIAL MEDICAL CENTER,221 MAHALANI STREET,WAILUKU,HI,96793,MAUI,(808) 442-5101,Acute Care Hospitals,Government - State
+56472,ASCENSION ST JOHN HOSPITAL,22101 MOROSS RD,DETROIT,MI,48236,WAYNE,(313) 343-4000,Acute Care Hospitals,Voluntary non-profit - Church
+52311,HAMILTON GENERAL HOSPITAL,"400 N BROWN, BUILDING 1",HAMILTON,TX,76531,HAMILTON,(254) 386-3151,Critical Access Hospitals,Government - Hospital District or Authority
+48099,METRO HEALTH HOSPITAL,"5900 BYRON CENTER AVENUE, SW",WYOMING,MI,49519,KENT,(616) 252-7200,Acute Care Hospitals,Voluntary non-profit - Private
+55379,MERCY HEALTH MUSKEGON,1700 CLINTON STREET,MUSKEGON,MI,49442,MUSKEGON,(231) 726-3511,Acute Care Hospitals,Voluntary non-profit - Private
+87749,CHRISTUS ST VINCENT REGIONAL MEDICAL CENTER,455 ST MICHAEL'S DRIVE,SANTA FE,NM,87505,SANTA FE,(505) 913-5201,Acute Care Hospitals,Voluntary non-profit - Private
+80068,SANFORD CANBY MEDICAL CENTER,112 ST OLAF AVENUE SOUTH,CANBY,MN,56220,YELLOW MEDCINE,(507) 223-7277,Critical Access Hospitals,Government - Hospital District or Authority
+54057,MCKAY DEE HOSPITAL,4401 HARRISON BOULEVARD,OGDEN,UT,84403,WEBER,(801) 387-2800,Acute Care Hospitals,Voluntary non-profit - Private
+12271,PAGE HOSPITAL,501 NORTH NAVAJO DRIVE,PAGE,AZ,86040,COCONINO,(928) 645-2424,Critical Access Hospitals,Government - Hospital District or Authority
+62214,MOLOKAI GENERAL HOSPITAL,280 HOME OLU PLACE,KAUNAKAKAI,HI,96748,MAUI,(808) 553-5331,Critical Access Hospitals,Voluntary non-profit - Private
+24072,PARKLAND HEALTH CENTER,1101 W LIBERTY,FARMINGTON,MO,63640,ST. FRANCOIS,(573) 431-6005,Acute Care Hospitals,Voluntary non-profit - Private
+26009,SOUTHERN MAINE HEALTH CARE,1 MEDICAL CENTER DRIVE,BIDDEFORD,ME,4005,YORK,(207) 283-7000,Acute Care Hospitals,Voluntary non-profit - Private
+55622,LOGAN REGIONAL MEDICAL CENTER,20 HOSPITAL DRIVE,LOGAN,WV,25601,LOGAN,(304) 831-1101,Acute Care Hospitals,Proprietary
+66662,ATRIUM HEALTH CLEVELAND,201 E GROVER ST,SHELBY,NC,28150,CLEVELAND,(704) 487-3000,Acute Care Hospitals,Government - Hospital District or Authority
+74789,REGIONAL ONE HEALTH,877 JEFFERSON AVENUE,MEMPHIS,TN,38103,SHELBY,(901) 545-7928,Acute Care Hospitals,Government - Hospital District or Authority
+83547,BAPTIST MEDICAL CENTER - BEACHES,1350 13TH AVE S,JACKSONVILLE BEACH,FL,32250,DUVAL,(904) 247-2900,Acute Care Hospitals,Voluntary non-profit - Private
+61302,ADVENTIST HEALTH FEATHER RIVER,5974 PENTZ ROAD,PARADISE,CA,95969,BUTTE,(530) 877-9361,Acute Care Hospitals,Voluntary non-profit - Church
+37036,TEXAS COUNTY MEMORIAL HOSPITAL,1333 SAM HOUSTON BOULEVARD,HOUSTON,MO,65483,TEXAS,(417) 967-3311,Acute Care Hospitals,Voluntary non-profit - Other
+47793,BIG BEND REGIONAL MEDICAL CENTER,2600 HIGHWAY 118 NORTH,ALPINE,TX,79830,BREWSTER,(432) 837-3447,Critical Access Hospitals,Proprietary
+60259,HOWARD YOUNG MEDICAL CTR,240 MAPLE ST,WOODRUFF,WI,54568,VILAS,(715) 356-8000,Acute Care Hospitals,Voluntary non-profit - Church
+28802,STOUGHTON HOSPITAL,900 RIDGE ST,STOUGHTON,WI,53589,DANE,(608) 873-6611,Critical Access Hospitals,Voluntary non-profit - Private
+37771,BON SECOURS ST FRANCIS MEDICAL CENTER,13710 ST FRANCIS BOULEVARD,MIDLOTHIAN,VA,23114,CHESTERFIELD,(804) 594-7400,Acute Care Hospitals,Voluntary non-profit - Church
+93850,VALLEY VIEW MEDICAL CENTER,5330 SOUTH HIGHWAY 95,FORT MOHAVE,AZ,86426,MOHAVE,(928) 788-2273,Acute Care Hospitals,Proprietary
+28187,MEDSTAR WASHINGTON HOSPITAL CENTER,110 IRVING ST NW,WASHINGTON,DC,20010,THE DISTRICT,(202) 877-7000,Acute Care Hospitals,Voluntary non-profit - Other
+41941,CORDOVA COMMUNITY MEDICAL CENTER,PO BOX 160 - 602 CHASE AVENUE,CORDOVA,AK,99574,VALDEZ-CORDOVA,(907) 424-8000,Critical Access Hospitals,Government - Local
+19141,PHS INDIAN HOSPITAL AT EAGLE BUTTE,24276 166TH AIRPORT ROAD,EAGLE BUTTE,SD,57625,DEWEY,(605) 964-3005,Acute Care Hospitals,Government - Federal
+22070,"AURORA BEHAVIORAL HEALTHCARE-SANTA ROSA, LLC",1287 FULTON ROAD,SANTA ROSA,CA,95401,SONOMA,(707) 800-7700,Psychiatric,Proprietary
+78253,LEHIGH VALLEY HOSPITAL - POCONO,206 EAST BROWN STREET,EAST STROUDSBURG,PA,18301,MONROE,(570) 421-4000,Acute Care Hospitals,Voluntary non-profit - Private
+45534,PAULDING COUNTY HOSPITAL,1035 WEST WAYNE ST.,PAULDING,OH,45879,PAULDING,(419) 399-1103,Critical Access Hospitals,Government - Local
+54783,COMMUNITY MEMORIAL HOSPITAL,512 SKYLINE BOULEVARD,CLOQUET,MN,55720,CARLTON,(218) 879-4641,Critical Access Hospitals,Voluntary non-profit - Private
+90355,WILLIAM NEWTON HOSPITAL,1300 EAST FIFTH AVENUE,WINFIELD,KS,67156,COWLEY,(620) 221-2300,Critical Access Hospitals,Government - Local
+84277,FRANKLIN HOSPITAL,201 BAILEY LANE,BENTON,IL,62812,FRANKLIN,(618) 439-3161,Critical Access Hospitals,Government - Hospital District or Authority
+49424,UT HEALTH EAST TEXAS ATHENS HOSPITAL,2000 SOUTH PALESTINE ST,ATHENS,TX,75751,HENDERSON,(903) 676-1000,Acute Care Hospitals,Voluntary non-profit - Private
+87783,ADVOCATE TRINITY HOSPITAL,2320 E 93RD ST,CHICAGO,IL,60617,COOK,(773) 967-5002,Acute Care Hospitals,Voluntary non-profit - Other
+52497,MAHNOMEN HEALTH CENTER,414 W JEFFERSON PO BOX 396,MAHNOMEN,MN,56557,MAHNOMEN,(218) 935-2511,Critical Access Hospitals,Government - Local
+91657,BROOKDALE HOSPITAL MEDICAL CENTER,1 BROOKDALE PLAZA,BROOKLYN,NY,11212,KINGS,(718) 240-5966,Acute Care Hospitals,Voluntary non-profit - Private
+29110,WASHINGTON REGIONAL MEDICAL CENTER,3215 N NORTH HILLS BOULEVARD,FAYETTEVILLE,AR,72703,WASHINGTON,(479) 463-5113,Acute Care Hospitals,Voluntary non-profit - Private
+82440,TRISTAR ASHLAND CITY MEDICAL CENTER,313 NORTH MAIN ST,ASHLAND CITY,TN,37015,CHEATHAM,(615) 792-3030,Critical Access Hospitals,Proprietary
+76270,MERITUS MEDICAL CENTER,11116 MEDICAL CAMPUS ROAD,HAGERSTOWN,MD,21742,WASHINGTON,(240) 313-9500,Acute Care Hospitals,Voluntary non-profit - Private
+81496,"NEW YORK COMMUNITY HOSPITAL OF BROOKLYN, INC.",2525 KINGS HIGHWAY,BROOKLYN,NY,11229,KINGS,(718) 692-5302,Acute Care Hospitals,Voluntary non-profit - Private
+68927,ADCARE HOSPITAL OF WORCESTER INC,107 LINCOLN STREET,WORCESTER,MA,1605,WORCESTER,(508) 799-9000,Acute Care Hospitals,Proprietary
+15132,MEMORIAL HOSPITAL OF TEXAS COUNTY AUTHORITY,520 MEDICAL DRIVE,GUYMON,OK,73942,TEXAS,(580) 338-6515,Critical Access Hospitals,Government - Hospital District or Authority
+44401,COMMUNITY CARE HOSPITAL,1421 GENERAL TAYLOR,NEW ORLEANS,LA,70115,ORLEANS,(504) 899-2500,Psychiatric,Proprietary
+35009,BAPTIST HEALTH MEDICAL CENTER HEBER SPINGS,1800 BYPASS ROAD,HEBER SPRINGS,AR,72543,CLEBURNE,(501) 887-3000,Critical Access Hospitals,Voluntary non-profit - Private
+20210,CLAXTON-HEPBURN MEDICAL CENTER,214 KING STREET,OGDENSBURG,NY,13669,ST. LAWRENCE,(315) 393-3600,Acute Care Hospitals,Voluntary non-profit - Private
+80871,BAYSTATE FRANKLIN MEDICAL CENTER,164 HIGH STREET,GREENFIELD,MA,1301,FRANKLIN,(413) 773-0211,Acute Care Hospitals,Voluntary non-profit - Private
+62374,MACKINAC STRAITS HOSPITAL AND HEALTH CENTER,1140 N STATE STREET,SAINT IGNACE,MI,49781,MACKINAC,(906) 643-8585,Critical Access Hospitals,Voluntary non-profit - Private
+32956,ALLIANCE HEALTH CENTER,5000 HIGHWAY 39 NORTH,MERIDIAN,MS,39301,LAUDERDALE,(601) 483-6211,Acute Care Hospitals,Proprietary
+94494,SHERIDAN MEMORIAL HOSPITAL,1401 W 5TH ST,SHERIDAN,WY,82801,SHERIDAN,(307) 672-1044,Acute Care Hospitals,Government - Local
+66158,"OKLAHOMA HEART HOSPITAL, LLC",4050 WEST MEMORIAL ROAD,OKLAHOMA CITY,OK,73120,OKLAHOMA,(405) 608-3200,Acute Care Hospitals,Physician
+76900,CHILDREN'S HOSPITAL OF MICHIGAN,3901 BEAUBIEN STREET,DETROIT,MI,48201,WAYNE,(313) 745-5437,Childrens,Proprietary
+13161,HIGHLAND HOSPITAL,300 56TH ST SE,CHARLESTON,WV,25304,KANAWHA,(304) 926-1600,Psychiatric,Voluntary non-profit - Private
+23033,METHODIST HOSPITAL,1305 N ELM ST,HENDERSON,KY,42420,HENDERSON,(270) 827-7700,Acute Care Hospitals,Voluntary non-profit - Church
+44160,NORTH SHORE HEALTH,515 5TH AVE WEST,GRAND MARAIS,MN,55604,COOK,(218) 387-3040,Critical Access Hospitals,Government - Hospital District or Authority
+77168,MONTEVISTA HOSPITAL,5900 WEST ROCHELLE AVENUE,LAS VEGAS,NV,89103,CLARK,(702) 364-1111,Psychiatric,Proprietary
+39920,BRIDGEPORT HOSPITAL,267 GRANT STREET,BRIDGEPORT,CT,6610,FAIRFIELD,(203) 384-3000,Acute Care Hospitals,Voluntary non-profit - Private
+41957,CAREPOINT HEALTH - BAYONNE MEDICAL CENTER,29 EAST 29TH ST,BAYONNE,NJ,7002,HUDSON,(201) 858-5000,Acute Care Hospitals,Voluntary non-profit - Private
+41996,NOXUBEE GENERAL CRITICAL ACCESS HOSP,78 HOSPITAL ROAD,MACON,MS,39341,NOXUBEE,(662) 726-4231,Critical Access Hospitals,Government - Local
+12011,LEGENT ORTHOPEDIC + SPINE,5330 NORTH LOOP 1604 WEST,SAN ANTONIO,TX,78249,BEXAR,(717) 620-2424,Acute Care Hospitals,Proprietary
+57228,FAIRVIEW HOSPITAL,18101 LORAIN AVENUE,CLEVELAND,OH,44111,CUYAHOGA,(216) 476-7000,Acute Care Hospitals,Voluntary non-profit - Private
+45338,FOREST VIEW PSYCHIATRIC HOSPITAL,1055 MEDICAL PARK SE,GRAND RAPIDS,MI,49546,KENT,(616) 942-9610,Psychiatric,Proprietary
+94036,TENNOVA HEALTHCARE-JEFFERSON MEMORIAL HOSPITAL,110 HOSPITAL DRIVE,JEFFERSON CITY,TN,37760,JEFFERSON,(865) 471-2500,Acute Care Hospitals,Proprietary
+65852,EVANS MEMORIAL HOSPITAL,200 N RIVER STREET,CLAXTON,GA,30417,EVANS,(912) 739-5105,Acute Care Hospitals,Government - Hospital District or Authority
+67188,LUBBOCK HEART HOSPITAL LP,4810 NORTH LOOP 289,LUBBOCK,TX,79416,LUBBOCK,(806) 687-7777,Acute Care Hospitals,Proprietary
+13635,ST VINCENT DUNN HOSPITAL INC,1600 23RD ST,BEDFORD,IN,47421,LAWRENCE,(812) 276-1065,Critical Access Hospitals,Voluntary non-profit - Private
+88859,STEVENS COUNTY HOSPITAL,1006 S JACKSON,HUGOTON,KS,67951,STEVENS,(620) 544-8511,Critical Access Hospitals,Government - Local
+44010,SHANDS STARKE REGIONAL MEDICAL CENTER,922 E CALL ST,STARKE,FL,32091,BRADFORD,(904) 368-2300,Critical Access Hospitals,Proprietary
+13383,DESERT REGIONAL MEDICAL CENTER,1150 NORTH INDIAN CANYON DRIVE,PALM SPRINGS,CA,92262,RIVERSIDE,(760) 323-6511,Acute Care Hospitals,Proprietary
+89718,SUBURBAN COMMUNITY HOSPITAL,2701 DEKALB PIKE,NORRISTOWN,PA,19401,MONTGOMERY,(215) 278-2000,Acute Care Hospitals,Voluntary non-profit - Private
+62415,MISSOURI BAPTIST SULLIVAN HOSPITAL,751 SAPPINGTON BRIDGE RD,SULLIVAN,MO,63080,FRANKLIN,(573) 468-4186,Critical Access Hospitals,Voluntary non-profit - Private
+28581,INTERFAITH MEDICAL CENTER,1545 ATLANTIC AVENUE,BROOKLYN,NY,11213,KINGS,(718) 613-4000,Acute Care Hospitals,Voluntary non-profit - Private
+87936,"TEN LAKES CENTER, LLC","819 NORTH FIRST STREET, 3RD FLOOR",DENNISON,OH,44621,TUSCARAWAS,(740) 922-7499,Psychiatric,Voluntary non-profit - Private
+44946,WASHINGTON COUNTY HOSPITAL,14600 ST. STEPHENS AVENUE,CHATOM,AL,36518,WASHINGTON,(251) 847-2223,Critical Access Hospitals,Government - Hospital District or Authority
+85330,IU HEALTH WEST HOSPITAL,1111 N RONALD REAGAN PKWY,AVON,IN,46123,HENDRICKS,(317) 217-3000,Acute Care Hospitals,Proprietary
+58821,SAN JUAN HOSPITAL,380 WEST 100 NORTH,MONTICELLO,UT,84535,SAN JUAN,(435) 587-2116,Critical Access Hospitals,Government - Local
+73078,MOUNT CARMEL ST ANN'S,500 SOUTH CLEVELAND AVENUE,WESTERVILLE,OH,43081,FRANKLIN,(614) 898-4000,Acute Care Hospitals,Voluntary non-profit - Private
+84458,PRAGUE COMMUNITY HOSPITAL,1322 KLABZUBA AVENUE,PRAGUE,OK,74864,LINCOLN,(405) 567-4922,Critical Access Hospitals,Voluntary non-profit - Other
+13221,MERRICK MEDICAL CENTER,1715  26TH ST,CENTRAL CITY,NE,68826,MERRICK,(308) 946-3015,Critical Access Hospitals,Government - Local
+85940,NOVANT HEALTH MATTHEWS MEDICAL CENTER,1500 MATTHEWS TWNSHP PRKWY BOX 3310,MATTHEWS,NC,28106,MECKLENBURG,(704) 384-6500,Acute Care Hospitals,Voluntary non-profit - Other
+72785,MEMORIAL SATILLA HEALTH,1900 TEBEAU STREET,WAYCROSS,GA,31501,WARE,(912) 287-2500,Acute Care Hospitals,Voluntary non-profit - Private
+74347,RIO GRANDE HOSPITAL,310 COUNTY RD 14,DEL NORTE,CO,81132,RIO GRANDE,(719) 657-2510,Critical Access Hospitals,Voluntary non-profit - Private
+60692,WYTHE COUNTY COMMUNITY HOSPITAL,600 WEST RIDGE ROAD,WYTHEVILLE,VA,24382,WYTHE,(276) 228-0200,Acute Care Hospitals,Voluntary non-profit - Church
+68200,WARD MEMORIAL HOSPITAL,406 SOUTH GARY ST,MONAHANS,TX,79756,WARD,(432) 943-2511,Critical Access Hospitals,Government - Local
+92460,SARAH BUSH LINCOLN HEALTH CENTER,1000 HEALTH CENTER DRIVE P O BOX 372,MATTOON,IL,61938,COLES,(217) 258-2572,Acute Care Hospitals,Voluntary non-profit - Private
+13424,METHODIST HOSPITAL FOR SURGERY,17101 DALLAS PARKWAY,ADDISON,TX,75001,DALLAS,(469) 248-3900,Acute Care Hospitals,Proprietary
+76902,"ST JAMES BEHAVIORAL HEALTH HOSPITAL, INC",3136 SOUTH ST LANDRY ROAD,GONZALES,LA,70737,ASCENSION,(225) 647-7524,Psychiatric,Voluntary non-profit - Private
+26142,NATHAN LITTAUER HOSPITAL,99 EAST STATE STREET,GLOVERSVILLE,NY,12078,FULTON,(518) 725-8621,Acute Care Hospitals,Voluntary non-profit - Private
+12805,KAISER FOUNDATION HOSPITAL - LOS ANGELES,4867 SUNSET BLVD,LOS ANGELES,CA,90027,LOS ANGELES,(323) 783-4011,Acute Care Hospitals,Voluntary non-profit - Other
+31312,UMASS MEMORIAL MEDICAL CENTER INC,55 LAKE AVENUE NORTH,WORCESTER,MA,1655,WORCESTER,(508) 334-1000,Acute Care Hospitals,Voluntary non-profit - Private
+20317,NORTHEASTERN CENTER,1850 WESLEY RD,AUBURN,IN,46706,DE KALB,(260) 927-0726,Psychiatric,Voluntary non-profit - Private
+36481,FLORIDA STATE HOSPITAL UNIT 31 MED,100 N MAIN ST,CHATTAHOOCHEE,FL,32324,GADSDEN,(850) 663-7536,Acute Care Hospitals,Government - State
+57308,O U MEDICINE,700 NE 13TH STREET,OKLAHOMA CITY,OK,73104,OKLAHOMA,(405) 271-5911,Acute Care Hospitals,Voluntary non-profit - Private
+26906,VIERA HOSPITAL,8745 N WICKHAM RD,MELBOURNE,FL,32940,BREVARD,(321) 434-9000,Acute Care Hospitals,Voluntary non-profit - Private
+12197,TARAVISTA BEHAVIORAL HEALTH CENTER,85 PATTON ROAD,DEVENS,MA,1434,WORCESTER,(978) 615-5200,Psychiatric,Proprietary
+31432,CASEY COUNTY HOSPITAL,187 WOLFORD AVENUE,LIBERTY,KY,42539,CASEY,(606) 787-6275,Critical Access Hospitals,Government - Hospital District or Authority
+32965,NASHOBA VALLEY MEDICAL CENTER,200 GROTON ROAD,AYER,MA,1432,MIDDLESEX,(978) 784-9000,Acute Care Hospitals,Proprietary
+73807,FAYETTE REGIONAL HEALTH SYSTEM,1941 VIRGINIA AVE,CONNERSVILLE,IN,47331,FAYETTE,(765) 825-5131,Acute Care Hospitals,Proprietary
+89024,NEURO BEHAVIORAL HOSPITAL,9330 BROADWAY,CROWN POINT,IN,46307,LAKE,(574) 277-2630,Psychiatric,Proprietary
+60372,SPECTRUM HEALTH UNITED HOSPITAL,615 S BOWER STREET,GREENVILLE,MI,48838,MONTCALM,(616) 754-4691,Acute Care Hospitals,Voluntary non-profit - Other
+36356,NORTHWEST MEDICAL CENTER-SPRINGDALE,609 WEST MAPLE AVENUE,SPRINGDALE,AR,72764,WASHINGTON,(479) 751-5711,Acute Care Hospitals,Proprietary
+20541,"PHYSICIANS CENTRE,THE",3131 UNIVERSITY DRIVE EAST,BRYAN,TX,77802,BRAZOS,(979) 731-3100,Acute Care Hospitals,Proprietary
+48829,LOVELACE MEDICAL CENTER,601 DR MARTIN LUTHER KING JR AVE NE,ALBUQUERQUE,NM,87102,BERNALILLO,(505) 727-8000,Acute Care Hospitals,Voluntary non-profit - Private
+20459,TIOGA MEDICAL CENTER,810 N WELO ST,TIOGA,ND,58852,WILLIAMS,(701) 664-3305,Critical Access Hospitals,Voluntary non-profit - Private
+12606,INDIANA UNIVERSITY HEALTH BLACKFORD HOSPITAL,410 PILGRIM BLVD,HARTFORD CITY,IN,47348,BLACKFORD,(765) 348-0300,Critical Access Hospitals,Voluntary non-profit - Private
+72946,DOCTORS HOSPITAL OF MANTECA,1205 E NORTH STREET,MANTECA,CA,95336,SAN JOAQUIN,(209) 823-3111,Acute Care Hospitals,Voluntary non-profit - Other
+54255,SALINAS VALLEY MEMORIAL HOSPITAL,450 EAST ROMIE LANE,SALINAS,CA,93901,MONTEREY,(831) 757-4333,Acute Care Hospitals,Voluntary non-profit - Other
+19007,RUSSELLVILLE HOSPITAL,15155 HIGHWAY 43,RUSSELLVILLE,AL,35653,FRANKLIN,(256) 332-1611,Acute Care Hospitals,Proprietary
+74823,GREATER EL MONTE COMMUNITY HOSPITAL,1701 SANTA ANITA AVE,SOUTH EL MONTE,CA,91733,LOS ANGELES,(626) 350-7975,Acute Care Hospitals,Voluntary non-profit - Private
+16452,SHELBY BAPTIST MEDICAL CENTER,1000 FIRST STREET NORTH,ALABASTER,AL,35007,SHELBY,(205) 620-8100,Acute Care Hospitals,Voluntary non-profit - Private
+90432,VIA CHRISTI HOSPITAL PITTSBURG INC,1 MT CARMEL WAY,PITTSBURG,KS,66762,CRAWFORD,(620) 231-6100,Acute Care Hospitals,Voluntary non-profit - Private
+69153,WEST VIRGINIA UNIVERSITY HOSPITALS,MEDICAL CENTER DRIVE,MORGANTOWN,WV,26506,MONONGALIA,(304) 598-4000,Acute Care Hospitals,Voluntary non-profit - Private
+37228,ASHLEY REGIONAL MEDICAL CENTER,150 WEST 100 NORTH,VERNAL,UT,84078,UINTAH,(435) 789-3342,Acute Care Hospitals,Proprietary
+92982,MERCY HOSPITAL JOPLIN,100 MERCY WAY,JOPLIN,MO,64804,JASPER,(417) 781-2727,Acute Care Hospitals,Voluntary non-profit - Church
+33465,CUMBERLAND MEMORIAL HOSPITAL,1110 7TH AVENUE,CUMBERLAND,WI,54829,BARRON,(715) 822-7500,Critical Access Hospitals,Voluntary non-profit - Other
+37566,ROGER WILLIAMS MEDICAL CENTER,825 CHALKSTONE AVENUE,PROVIDENCE,RI,2908,PROVIDENCE,(401) 456-2025,Acute Care Hospitals,Proprietary
+69164,CHI MEMORIAL HOSPITAL- GEORGIA,100 GROSS CRESCENT CIRCLE,FORT OGLETHORPE,GA,30742,CATOOSA,(770) 874-5400,Acute Care Hospitals,Proprietary
+12128,BAPTIST HEALTH MEDICAL CENTER-STUTTGART,1703 NORTH BUERKLE ST,STUTTGART,AR,72160,ARKANSAS,(870) 673-3511,Acute Care Hospitals,Voluntary non-profit - Private
+10841,TEXAS HEALTH HARRIS METHODIST HOSPITAL SOUTHWEST F,6100 HARRIS PKWY,FORT WORTH,TX,76132,TARRANT,(817) 433-5000,Acute Care Hospitals,Voluntary non-profit - Private
+66946,NORTHERN LIGHT HEALTH,144 STATE STREET,PORTLAND,ME,4101,CUMBERLAND,(207) 879-3000,Acute Care Hospitals,Voluntary non-profit - Church
+79220,BROADWATER HEALTH CENTER,110 N OAK ST,TOWNSEND,MT,59644,BROADWATER,(406) 266-3186,Critical Access Hospitals,Voluntary non-profit - Private
+14134,"PINNACLE REGIONAL HOSPITAL, INC",12850 METCALF AVENUE,OVERLAND PARK,KS,66213,JOHNSON,(913) 220-2866,Acute Care Hospitals,Proprietary
+55637,BOYS TOWN NATIONAL RESEARCH HOSPITAL,555 NORTH 30TH ST,OMAHA,NE,68131,DOUGLAS,(531) 355-6510,Childrens,Voluntary non-profit - Private
+32728,GREAT PLAINS REGIONAL MEDICAL CENTER,1801 WEST 3RD STREET,ELK CITY,OK,73644,BECKHAM,(580) 225-2511,Acute Care Hospitals,Voluntary non-profit - Private
+61061,COLORADO CANYONS HOSPITAL AND MEDICAL CENTER,300 W OTTLEY AVE,FRUITA,CO,81521,MESA,(970) 858-9871,Critical Access Hospitals,Voluntary non-profit - Private
+14727,UNIVERSITY OF WASHINGTON MEDICAL CTR,1959 NE PACIFIC ST  BOX 356151,SEATTLE,WA,98195,KING,(206) 598-3300,Acute Care Hospitals,Government - State
+77389,SANTA CLARA VALLEY MEDICAL CENTER,751 SOUTH BASCOM AVENUE,SAN JOSE,CA,95128,SANTA CLARA,(408) 885-5000,Acute Care Hospitals,Government - Local
+57317,LINCOLN REGIONAL CENTER,PO BOX 94949 FOLSOM AND PROSPECTOR,LINCOLN,NE,68509,LANCASTER,(402) 471-4444,Psychiatric,Government - State
+37570,SPRINGBROOK BEHAVIORAL HEALTH SYSTEM,ONE HAVENWOOD LANE  PO BOX 1005,TRAVELERS REST,SC,29690,GREENVILLE,(864) 834-8013,Psychiatric,Proprietary
+11708,JOHN F KENNEDY MEMORIAL HOSPITAL,47111 MONROE STREET,INDIO,CA,92201,RIVERSIDE,(760) 347-6191,Acute Care Hospitals,Proprietary
+12779,ARISE AUSTIN MEDICAL CENTER,3003 BEE CAVES ROAD,AUSTIN,TX,78746,TRAVIS,(512) 347-9888,Acute Care Hospitals,Voluntary non-profit - Other
+52075,ROCHESTER GENERAL HOSPITAL,1425 PORTLAND AVENUE,ROCHESTER,NY,14621,MONROE,(585) 922-4000,Acute Care Hospitals,Voluntary non-profit - Private
+58390,JEFFERSON COUNTY HOSPITAL,870 S MAIN,FAYETTE,MS,39069,JEFFERSON,(601) 786-3401,Acute Care Hospitals,Government - Local
+61496,HOLY CROSS HOSPITAL,4725 N FEDERAL HWY,FORT LAUDERDALE,FL,33308,BROWARD,(954) 771-8000,Acute Care Hospitals,Voluntary non-profit - Church
+86362,SOUTH BALDWIN REGIONAL MEDICAL CENTER,1613 NORTH MCKENZIE STREET,FOLEY,AL,36535,BALDWIN,(251) 949-3400,Acute Care Hospitals,Proprietary
+50760,GATEWAYS HOSP  MENTAL HEALTH CTR,1891 EFFIE ST,LOS ANGELES,CA,90026,LOS ANGELES,(213) 666-0171,Psychiatric,Proprietary
+21012,MEADOWS PSYCHIATRIC CENTER,132 MEADOWS DRIVE,CENTRE HALL,PA,16828,CENTRE,(814) 364-2161,Psychiatric,Proprietary
+91876,CORAL SHORES BEHAVIORAL HEALTH,5995 SE COMMUNITY DRIVE,STUART,FL,34997,MARTIN,(727) 424-3427,Psychiatric,Voluntary non-profit - Other
+21587,HOSPITAL DISTRICT #1 OF RICE COUNTY,619 SOUTH CLARK AVENUE,LYONS,KS,67554,RICE,(620) 257-5173,Critical Access Hospitals,Government - Hospital District or Authority
+57881,BOONE MEMORIAL HOSPITAL,701 MADISON AVENUE,MADISON,WV,25130,BOONE,(304) 369-1230,Critical Access Hospitals,Government - Local
+52179,PROVIDENCE SAINT JOHN'S HEALTH CENTER,2121 SANTA MONICA BLVD,SANTA MONICA,CA,90404,LOS ANGELES,(310) 829-5511,Acute Care Hospitals,Voluntary non-profit - Private
+28562,SPARTANBURG MEDICAL CENTER,101 E WOOD ST,SPARTANBURG,SC,29303,SPARTANBURG,(864) 560-6554,Acute Care Hospitals,Government - Hospital District or Authority
+31505,BRYAN MEDICAL CENTER,1600 SOUTH 48TH ST,LINCOLN,NE,68506,LANCASTER,(402) 481-1111,Acute Care Hospitals,Voluntary non-profit - Private
+20916,SHAMROCK GENERAL HOSPITAL,1000 SOUTH MAIN STREET,SHAMROCK,TX,79079,WHEELER,(806) 256-2114,Critical Access Hospitals,Government - Hospital District or Authority
+19931,P H S INDIAN HOSPITAL AT BROWNING - BLACKFEET,"760 HOSPITAL CIRCLE, POST OFFICE BOX 760",BROWNING,MT,59417,GLACIER,(406) 338-6157,Acute Care Hospitals,Government - Federal
+10462,MCLEOD MEDICAL CENTER - DARLINGTON,701 CASHUA FERRY ROAD,DARLINGTON,SC,29540,DARLINGTON,(843) 777-1100,Acute Care Hospitals,Voluntary non-profit - Private
+37258,CHI ST ALEXIUS HEALTH DEVILS LAKE,1031 7TH ST NE,DEVILS LAKE,ND,58301,RAMSEY,(701) 662-2131,Critical Access Hospitals,Voluntary non-profit - Private
+94057,MINERS' COLFAX MEDICAL CENTER,203 HOSPITAL DRIVE,RATON,NM,87740,COLFAX,(575) 445-3661,Critical Access Hospitals,Government - State
+73459,MAT-SU REGIONAL MEDICAL CENTER,2500 SOUTH WOODWORTH LOOP,PALMER,AK,99645,MATANUSKA-SUSITNA,(907) 861-6000,Acute Care Hospitals,Voluntary non-profit - Other
+56860,KERN VALLEY HEALTHCARE DISTRICT,6412 LAUREL AVE,LAKE ISABELLA,CA,93240,KERN,(760) 379-2681,Critical Access Hospitals,Government - Hospital District or Authority
+65110,ST ROSE HOSPITAL,27200 CALAROGA AVE,HAYWARD,CA,94545,ALAMEDA,(510) 782-6200,Acute Care Hospitals,Voluntary non-profit - Church
+40330,SPRINGBROOK HOSPITAL,7007 GROVE RD,BROOKSVILLE,FL,34609,HERNANDO,(352) 596-4306,Psychiatric,Voluntary non-profit - Private
+87086,NORTHSIDE HOSPITAL,"1000 JOHNSON FERRY ROAD, NE",ATLANTA,GA,30342,FULTON,(404) 851-8000,Acute Care Hospitals,Voluntary non-profit - Private
+46135,TRISTAR HORIZON MEDICAL CENTER,111 HIGHWAY 70 EAST,DICKSON,TN,37055,DICKSON,(615) 446-0446,Acute Care Hospitals,Proprietary
+29477,PAUL OLIVER MEMORIAL HOSPITAL,224 PARK AVENUE,FRANKFORT,MI,49635,BENZIE,(231) 352-2200,Critical Access Hospitals,Government - Local
+28060,LAWRENCE MEMORIAL HOSPITAL,1309 WEST MAIN STREET,WALNUT RIDGE,AR,72476,LAWRENCE,(870) 886-1200,Critical Access Hospitals,Government - Local
+52675,BOLIVAR GENERAL HOSPITAL,650 NUCKOLLS ROAD,BOLIVAR,TN,38008,HARDEMAN,(731) 658-3100,Critical Access Hospitals,Government - Hospital District or Authority
+79578,CLARINDA REGIONAL HEALTH CENTER,220 ESSIE DAVISON DRIVE,CLARINDA,IA,51632,PAGE,(712) 542-2176,Critical Access Hospitals,Voluntary non-profit - Other
+60371,STONY BROOK EASTERN LONG ISLAND HOSPITAL,201 MANOR PLACE,GREENPORT,NY,11944,SUFFOLK,(631) 477-1000,Acute Care Hospitals,Voluntary non-profit - Private
+35467,MONMOUTH MEDICAL CENTER,300 SECOND AVENUE,LONG BRANCH,NJ,7740,MONMOUTH,(732) 222-5200,Acute Care Hospitals,Voluntary non-profit - Private
+56023,MORRILL COUNTY COMMUNITY HOSPITAL,1313 S STREET,BRIDGEPORT,NE,69336,MORRILL,(308) 262-1616,Critical Access Hospitals,Government - Local
+69721,DOCTORS HOSPITAL,5100 WEST  BROAD STREET,COLUMBUS,OH,43228,FRANKLIN,(614) 544-1000,Acute Care Hospitals,Voluntary non-profit - Church
+18885,WINDHAVEN PSYCHIATRIC HOSPITAL,3347 NORTH WINDSONG DRIVE,PRESCOTT VALLEY,AZ,86314,YAVAPAI,(928) 899-7343,Psychiatric,Voluntary non-profit - Private
+82009,HUGH CHATHAM MEMORIAL HOSPITAL,180 PARKWOOD DR,ELKIN,NC,28621,SURRY,(336) 527-7000,Acute Care Hospitals,Voluntary non-profit - Private
+17683,ROCK SPRINGS,700 SOUTHEAST INNER LOOP,GEORGETOWN,TX,78626,WILLIAMSON,(512) 819-9400,Psychiatric,Proprietary
+90837,DECATUR COUNTY MEMORIAL HOSPITAL,720 N LINCOLN ST,GREENSBURG,IN,47240,DECATUR,(812) 663-4331,Critical Access Hospitals,Government - Local
+67643,SONOMA SPECIALTY HOSPITAL,501 PETALUMA AVENUE,SEBASTOPOL,CA,95472,SONOMA,(707) 823-8511,Acute Care Hospitals,Government - Local
+12907,LINCOLN SURGICAL HOSPITAL,1710 SOUTH 70TH ST,LINCOLN,NE,68506,LANCASTER,(402) 484-9090,Acute Care Hospitals,Proprietary
+23707,TRINITY ROCK ISLAND,2701 17TH ST,ROCK ISLAND,IL,61201,ROCK ISLAND,(309) 779-5000,Acute Care Hospitals,Voluntary non-profit - Other
+76800,GLEN ROSE MEDICAL CENTER,1021 HOLDEN STREET,GLEN ROSE,TX,76043,SOMERVELL,(254) 897-2215,Acute Care Hospitals,Government - Hospital District or Authority
+55609,ANN & ROBERT H LURIE CHILDRENS HOSPITAL OF CHICAGO,"225 E CHICAGO AVE, BOX 140",CHICAGO,IL,60611,COOK,(312) 227-4000,Childrens,Voluntary non-profit - Private
+88067,HOLY CROSS GERMANTOWN HOSPITAL,19801 OBSERVATION DRIVE,GERMANTOWN,MD,20876,MONTGOMERY,(301) 557-6020,Acute Care Hospitals,Voluntary non-profit - Private
+81250,HAMLIN MEMORIAL HOSPITAL,632 N W SECOND STREET,HAMLIN,TX,79520,JONES,(325) 576-3646,Acute Care Hospitals,Government - Hospital District or Authority
+56489,MAYAGUEZ MEDICAL CENTER DR RAMON EMETERIO BETANCES,CARR 2 BO SABALOS,MAYAGUEZ,PR,682,MAYAGUEZ,(787) 652-9200,Acute Care Hospitals,Proprietary
+28290,OCHSNER LSU HEALTH MONROE,4864 JACKSON STREET,MONROE,LA,71202,OUACHITA,(318) 330-7000,Acute Care Hospitals,Proprietary
+80895,NIOBRARA HEALTH & LIFE CENTER,921 SOUTH BALLANCEE AVENUE,LUSK,WY,82225,NIOBRARA,(307) 334-4000,Critical Access Hospitals,Government - Hospital District or Authority
+26187,NEWARK-WAYNE COMMUNITY HOSPITAL,111 DRIVING PARK AVENUE,NEWARK,NY,14513,WAYNE,(315) 332-2022,Acute Care Hospitals,Voluntary non-profit - Private
+20384,ST BERNARD HOSPITAL,326 W 64TH ST,CHICAGO,IL,60621,COOK,(773) 962-3900,Acute Care Hospitals,Voluntary non-profit - Private
+71404,JAY HOSPITAL,14114 ALABAMA ST,JAY,FL,32565,SANTA ROSA,(850) 675-4532,Acute Care Hospitals,Voluntary non-profit - Private
+27622,JACKSON PARISH HOSPITAL,165 BEECH SPRINGS ROAD,JONESBORO,LA,71251,JACKSON,(318) 259-4435,Critical Access Hospitals,Government - Hospital District or Authority
+18277,BEHAVIORAL HEALTHCARE CENTER AT COLUMBIA,1400 ROSEWOOD DRIVE,COLUMBIA,TN,38401,MAURY,(931) 388-6573,Psychiatric,Proprietary
+69687,CANDLER COUNTY HOSPITAL,400 CEDAR STREET,METTER,GA,30439,CANDLER,(912) 685-5741,Critical Access Hospitals,Government - Hospital District or Authority
+17624,STEWARD ROCKLEDGE HOSPITAL,110 LONGWOOD AVE,ROCKLEDGE,FL,32955,BREVARD,(321) 637-2603,Acute Care Hospitals,Proprietary
+50213,STRATEGIC BEHAVORIAL CENTER-GARNER,3200 WATERFIELD DRIVE,GARNER,NC,27529,WAKE,(919) 800-4400,Psychiatric,Proprietary
+37084,JACKSON COUNTY REGIONAL HEALTH CENTER,700 W GROVE ST,MAQUOKETA,IA,52060,JACKSON,(563) 652-2474,Critical Access Hospitals,Government - Local
+20297,CALVERTHEALTH MEDICAL CENTER,100 HOSPITAL ROAD,PRINCE FREDERICK,MD,20678,CALVERT,(410) 535-8240,Acute Care Hospitals,Voluntary non-profit - Other
+36591,GLEN COVE HOSPITAL,101 ST ANDREWS LANE,GLEN COVE,NY,11542,NASSAU,(516) 674-7300,Acute Care Hospitals,Voluntary non-profit - Private
+37807,SUTTER COAST HOSPITAL,800 E WASHINGTON BLVD,CRESCENT CITY,CA,95531,DEL NORTE,(707) 464-8880,Acute Care Hospitals,Government - Hospital District or Authority
+63496,BARRETT HOSPITAL & HEALTHCARE,600 MT HWY 91 S,DILLON,MT,59725,BEAVERHEAD,(406) 683-3000,Critical Access Hospitals,Government - Hospital District or Authority
+58449,CHASE COUNTY COMMUNITY HOSPITAL,"P O BOX 819, 600 W 12TH ST",IMPERIAL,NE,69033,CHASE,(308) 882-7111,Critical Access Hospitals,Government - Local
+86369,UT HEALTH EAST TEXAS PITTSBURG HOSPITAL,2701 US HWY 271 N,PITTSBURG,TX,75686,CAMP,(903) 856-4520,Critical Access Hospitals,Voluntary non-profit - Other
+87350,UNION MEDICAL CENTER,322 WEST SOUTH STREET,UNION,SC,29379,UNION,(864) 301-2000,Acute Care Hospitals,Voluntary non-profit - Other
+92313,BURLESON ST JOSEPH HEALTH CENTER,1101 WOODSON DRIVE,CALDWELL,TX,77836,BURLESON,(979) 567-3245,Critical Access Hospitals,Voluntary non-profit - Church
+38897,ASCENSION ST MARYS HOSPITAL,2251 NORTH SHORE DR,RHINELANDER,WI,54501,ONEIDA,(715) 361-2000,Acute Care Hospitals,Voluntary non-profit - Private
+28835,SOUTHWEST CONNECTICUT MENTAL HEALTH,1635 CENTRAL AVE,BRIDGEPORT,CT,6610,FAIRFIELD,(203) 551-7461,Psychiatric,Government - State
+72754,UMD BALTIMORE WASHINGTON  MEDICAL CENTER,301 HOSPITAL DRIVE,GLEN BURNIE,MD,21061,ANNE ARUNDEL,(410) 595-1967,Acute Care Hospitals,Voluntary non-profit - Other
+19720,60th Medical Group (Travis AFB),103 Bodin Circle Fairfield,Fairfield,CA,94533,SOLANO,(707) 423-7300,Acute Care - Department of Defense,Department of Defense
+30459,CITIZENS MEDICAL CENTER,2701 HOSPITAL DRIVE,VICTORIA,TX,77901,VICTORIA,(361) 573-9181,Acute Care Hospitals,Voluntary non-profit - Other
+27475,FORT DUNCAN MEDICAL CENTER,3333 N FOSTER MALDONADO BLVD,EAGLE PASS,TX,78852,MAVERICK,(830) 773-5321,Acute Care Hospitals,Proprietary
+37291,TRI-STATE MEMORIAL HOSPITAL,1221 HIGHLAND AVENUE,CLARKSTON,WA,99403,ASOTIN,(509) 758-5511,Critical Access Hospitals,Voluntary non-profit - Private
+34281,FLAGET MEMORIAL HOSPITAL,4305 NEW SHEPHERDSVILLE ROAD,BARDSTOWN,KY,40004,NELSON,(502) 350-5000,Acute Care Hospitals,Voluntary non-profit - Private
+69330,PARKVIEW REGIONAL MEDICAL CENTER,11109 PARKVIEW PLAZA DRIVE,FORT WAYNE,IN,46845,ALLEN,(260) 266-1000,Acute Care Hospitals,Voluntary non-profit - Private
+18071,BLACK RIVER MEMORIAL HOSPITAL,711 W ADAMS ST,BLACK RIVER FALLS,WI,54615,JACKSON,(715) 284-5361,Critical Access Hospitals,Voluntary non-profit - Private
+33539,W W HASTINGS INDIAN HOSPITAL,100 S BLISS AVENUE,TAHLEQUAH,OK,74464,CHEROKEE,(918) 458-3100,Acute Care Hospitals,Voluntary non-profit - Other
+66953,EDEN MEDICAL CENTER,20103 LAKE CHABOT ROAD,CASTRO VALLEY,CA,94546,ALAMEDA,(510) 537-1234,Acute Care Hospitals,Voluntary non-profit - Other
+79546,SABINE MEDICAL CENTER,240 HIGHLAND DRIVE,MANY,LA,71449,SABINE,(318) 256-1232,Acute Care Hospitals,Proprietary
+91370,MOUNTAINVIEW MEDICAL CENTER,16 W MAIN ST,WHITE SULPHUR SPRING,MT,59645,MEAGHER,(406) 547-3321,Critical Access Hospitals,Voluntary non-profit - Private
+51695,UNION GENERAL HOSPITAL,35 HOSPITAL ROAD,BLAIRSVILLE,GA,30512,UNION,(706) 745-2111,Acute Care Hospitals,Government - Hospital District or Authority
+23510,MONROE REGIONAL HOSPITAL,400 SOUTH CHESTNUT STREET,ABERDEEN,MS,39730,MONROE,(662) 369-2455,Critical Access Hospitals,Voluntary non-profit - Private
+40941,DOCTORS HOSPITAL OF LAREDO,10700 MCPHERSON ROAD,LAREDO,TX,78041,WEBB,(956) 523-2000,Acute Care Hospitals,Proprietary
+17302,MODOC MEDICAL CENTER,228 W MCDOWELL AVE,ALTURAS,CA,96101,MODOC,(530) 233-5131,Critical Access Hospitals,Government - Hospital District or Authority
+34848,COMMUNITY HOSPITAL ASSOCIATION,"26136 US HIGHWAY 59, PO BOX 107",FAIRFAX,MO,64446,ATCHISON,(660) 686-2211,Critical Access Hospitals,Voluntary non-profit - Private
+18037,PROWERS MEDICAL CENTER,401 KENDALL DR,LAMAR,CO,81052,PROWERS,(719) 336-4343,Critical Access Hospitals,Government - Hospital District or Authority
+30297,PRESENCE MERCY MEDICAL CENTER,1325 N HIGHLAND AVENUE,AURORA,IL,60506,KANE,(630) 859-2222,Acute Care Hospitals,Voluntary non-profit - Church
+34315,MEMORIAL HERMANN TEXAS MEDICAL CENTER,6411 FANNIN,HOUSTON,TX,77030,HARRIS,(713) 704-3700,Acute Care Hospitals,Voluntary non-profit - Private
+78887,BAYLOR SCOTT AND WHITE ALL SAINTS MEDICAL CENTER,1400 EIGHTH AVE,FORT WORTH,TX,76104,TARRANT,(817) 926-2544,Acute Care Hospitals,Voluntary non-profit - Private
+66373,BOLIVAR MEDICAL CENTER,901 E SUNFLOWER RD,CLEVELAND,MS,38732,BOLIVAR,(662) 846-0061,Acute Care Hospitals,Proprietary
+73499,GREENWOOD LEFLORE HOSPITAL,1401 RIVER RD,GREENWOOD,MS,38935,LEFLORE,(662) 459-7561,Acute Care Hospitals,Government - Local
+69085,PENN MEDICINE PRINCETON MEDICAL CENTER,ONE - FIVE PLAINSBORO ROAD,PLAINSBORO,NJ,8536,MIDDLESEX,(866) 460-4776,Acute Care Hospitals,Voluntary non-profit - Private
+21560,SONOMA VALLEY HOSPITAL,347 ANDRIEUX ST,SONOMA,CA,95476,SONOMA,(707) 935-5000,Acute Care Hospitals,Government - Hospital District or Authority
+30653,INOVA LOUDOUN HOSPITAL,44045 RIVERSIDE PARKWAY,LEESBURG,VA,20176,LOUDOUN,(703) 858-6600,Acute Care Hospitals,Voluntary non-profit - Private
+32313,SOCORRO GENERAL HOSPITAL,1202 HIGHWAY 60 WEST,SOCORRO,NM,87801,SOCORRO,(575) 835-1140,Critical Access Hospitals,Proprietary
+45076,MEASE DUNEDIN HOSPITAL,601 MAIN ST,DUNEDIN,FL,34698,PINELLAS,(727) 733-1111,Acute Care Hospitals,Voluntary non-profit - Private
+94943,VALLEY PRESBYTERIAN HOSPITAL,15107 VANOWEN ST,VAN NUYS,CA,91406,LOS ANGELES,(818) 782-6600,Acute Care Hospitals,Voluntary non-profit - Other
+23136,OCEAN MEDICAL CENTER,425 JACK MARTIN BLVD,BRICK,NJ,8724,OCEAN,(732) 840-2200,Acute Care Hospitals,Voluntary non-profit - Other
+78564,HOSP COMUNITARIO BUEN SAMARITANO,CARR.2 KM.1.4 AVE. SEVERIANO CUEVAS #18,AGUADILLA,PR,603,AGUADILLA,(787) 658-0000,Acute Care Hospitals,Voluntary non-profit - Other
+14556,GREENE COUNTY GENERAL HOSPITAL,1185 N 1000 W,LINTON,IN,47441,GREENE,(812) 847-2281,Critical Access Hospitals,Government - Local
+32388,UPMC PINNACLE HANOVER,300 HIGHLAND AVE,HANOVER,PA,17331,YORK,(717) 637-3711,Acute Care Hospitals,Voluntary non-profit - Private
+49530,KECK HOSPITAL OF USC,1500 SAN PABLO STREET,LOS ANGELES,CA,90033,LOS ANGELES,(323) 442-8656,Acute Care Hospitals,Voluntary non-profit - Other
+78755,STRAITH HOSPITAL FOR SPECIAL SURGERY,23901 LAHSER,SOUTHFIELD,MI,48033,OAKLAND,(248) 357-3360,Acute Care Hospitals,Voluntary non-profit - Private
+65960,NORTHERN LIGHT MAINE COAST HOSPITAL,50 UNION STREET,ELLSWORTH,ME,4605,HANCOCK,(207) 667-5311,Acute Care Hospitals,Voluntary non-profit - Other
+64769,KAISER FOUNDATION HOSPITAL - ORANGE COUNTY - ANAHE,3440 E LA PALMA AVE,ANAHEIM,CA,92806,ORANGE,(714) 279-4000,Acute Care Hospitals,Voluntary non-profit - Private
+69974,HENRY FORD WYANDOTTE HOSPITAL,2333 BIDDLE AVE,WYANDOTTE,MI,48192,WAYNE,(734) 246-6000,Acute Care Hospitals,Voluntary non-profit - Private
+46179,NATIONWIDE CHILDREN'S HOSPITAL,700 CHILDREN'S DRIVE,COLUMBUS,OH,43205,FRANKLIN,(614) 722-2000,Childrens,Voluntary non-profit - Private
+30251,MISSISSIPPI METHODIST REHAB CTR,1350 E WOODROW WILSON DR,JACKSON,MS,39216,HINDS,(601) 981-2611,Acute Care Hospitals,Voluntary non-profit - Private
+47299,PRIMARY CHILDRENS HOSPITAL,100 NORTH MARIO CAPECCHI DRIVE,SALT LAKE CITY,UT,84113,SALT LAKE,(801) 662-6212,Childrens,Voluntary non-profit - Private
+89405,"BAYHEALTH HOSPITAL, KENT CAMPUS",640 S STATE STREET,DOVER,DE,19901,KENT,(302) 744-7001,Acute Care Hospitals,Voluntary non-profit - Private
+28714,"BROADDUS HOSPITAL ASSOCIATION, INC",1 HEALTHCARE DRIVE MANSFIELD HILL,PHILIPPI,WV,26416,BARBOUR,(304) 457-1760,Critical Access Hospitals,Voluntary non-profit - Private
+43661,CENTRAL PENINSULA GENERAL HOSPITAL,250 HOSPITAL PLACE,SOLDOTNA,AK,99669,KENAI PENINSULA,(907) 262-4404,Acute Care Hospitals,Voluntary non-profit - Other
+23781,LONGVIEW REGIONAL MEDICAL CENTER,2901 N FOURTH ST,LONGVIEW,TX,75605,GREGG,(903) 758-1818,Acute Care Hospitals,Proprietary
+65913,PARIS REGIONAL MEDICAL CENTER,820 CLARKSVILLE ST,PARIS,TX,75460,LAMAR,(903) 785-4521,Acute Care Hospitals,Proprietary
+42652,HIRAM W DAVIS MEDICAL CENTER,P O BOX 4030,PETERSBURG,VA,23803,PETERSBURG CITY,(804) 524-7344,Acute Care Hospitals,Government - State
+81618,GLENN MEDICAL CENTER,1133 W SYCAMORE ST,WILLOWS,CA,95988,GLENN,(530) 934-1818,Critical Access Hospitals,Government - Federal
+12204,"COMPASS BEHAVIORAL CENTER OF HOUMA, LLC",4701 WEST PARK AVENUE,HOUMA,LA,70364,TERREBONNE,(985) 876-1715,Psychiatric,Proprietary
+19962,CAPITAL HEALTH SYSTEM-FULD CAMPUS,750 BRUNSWICK AVE,TRENTON,NJ,8638,MERCER,(609) 394-6000,Acute Care Hospitals,Voluntary non-profit - Private
+75701,MAYO CLINIC HLTH SYSTM FRANCISCAN HLTHCARE SPARTA,310 W MAIN ST,SPARTA,WI,54656,MONROE,(608) 269-2132,Critical Access Hospitals,Voluntary non-profit - Church
+72840,EL CENTRO REGIONAL MEDICAL CENTER,1415 ROSS AVENUE,EL CENTRO,CA,92243,IMPERIAL,(760) 339-7100,Acute Care Hospitals,Government - Local
+68668,WARREN STATE HOSPITAL,33 MAIN DRIVE,NORTH WARREN,PA,16365,WARREN,(814) 723-5500,Psychiatric,Government - State
+38366,ALLEN HOSPITAL,1825 LOGAN AVENUE,WATERLOO,IA,50703,BLACK HAWK,(319) 235-3941,Acute Care Hospitals,Voluntary non-profit - Private
+18094,ST CHARLES PARISH HOSPITAL,1057 PAUL MAILLARD ROAD,LULING,LA,70070,ST. CHARLES,(985) 785-3644,Acute Care Hospitals,Government - Hospital District or Authority
+90923,LONE PEAK HOSPITAL,11925 SOUTH STATE STREET,DRAPER,UT,84020,SALT LAKE,(801) 545-8000,Acute Care Hospitals,Proprietary
+14775,FULTON STATE HOSPITAL,600 EAST 5TH STREET,FULTON,MO,65251,CALLAWAY,(573) 592-4100,Psychiatric,Government - State
+70426,SHRINERS' HOSPITAL FOR CHILDREN (THE),516 CAREW STREET,SPRINGFIELD,MA,1104,HAMPDEN,(413) 787-2000,Childrens,Voluntary non-profit - Private
+36947,CHILDRENS MEDICAL CENTER PLANO,7601 PRESTON ROAD,PLANO,TX,75024,COLLIN,(214) 456-1792,Childrens,Voluntary non-profit - Private
+15447,SURGICAL SPECIALTY CENTER AT COORDINATED HEALTH,1503 CEDAR CREST BOULEVARD,ALLENTOWN,PA,18104,LEHIGH,(610) 871-9110,Acute Care Hospitals,Physician
+50517,THE HOSPITALS OF PROVIDENCE HORIZON CITY CAMPUS,"13600 HORIZON STREET, SUITE 100",HORIZON CITY,TX,79928,EL PASO,(915) 407-7878,Acute Care Hospitals,Proprietary
+30235,NANTUCKET COTTAGE HOSPITAL,57 PROSPECT STREET,NANTUCKET,MA,2554,NANTUCKET,(508) 228-1200,Acute Care Hospitals,Voluntary non-profit - Private
+16633,RUSSELL REGIONAL HOSPITAL,200 S MAIN STREET,RUSSELL,KS,67665,RUSSELL,(785) 483-3131,Critical Access Hospitals,Voluntary non-profit - Private
+79350,PRATT REGIONAL MEDICAL CENTER,200 COMMODORE ST,PRATT,KS,67124,PRATT,(620) 450-1160,Acute Care Hospitals,Proprietary
+63957,HARPER COUNTY COMMUNITY HOSPITAL,1003 US HIGHWAY 64 NORTH,BUFFALO,OK,73834,HARPER,(580) 735-2555,Critical Access Hospitals,Government - Local
+11483,AVERA ST BENEDICT HEALTH CENTER - CAH,401 WEST GLYNN DRIVE,PARKSTON,SD,57366,HUTCHINSON,(605) 928-3311,Critical Access Hospitals,Voluntary non-profit - Private
+58844,COLLEGE MEDICAL CENTER,2776 PACIFIC AVENUE,LONG BEACH,CA,90806,LOS ANGELES,(562) 595-1911,Acute Care Hospitals,Proprietary
+51156,KINGMAN REGIONAL MEDICAL CENTER,3269 STOCKTON HILL ROAD,KINGMAN,AZ,86409,MOHAVE,(928) 757-2101,Acute Care Hospitals,Government - Hospital District or Authority
+75270,GRIFFIN HOSPITAL,130 DIVISION ST,DERBY,CT,6418,NEW HAVEN,(203) 732-7500,Acute Care Hospitals,Voluntary non-profit - Other
+50825,COMMUNITY HOSPITALS AND WELLNESS CENTERS,433 WEST HIGH STREET,BRYAN,OH,43506,WILLIAMS,(419) 636-1131,Acute Care Hospitals,Voluntary non-profit - Other
+15371,LOCK HAVEN HOSPITAL,24 CREE DRIVE,LOCK HAVEN,PA,17745,CLINTON,(570) 893-5024,Acute Care Hospitals,Proprietary
+14242,LOURDES HOSPITAL,1530 LONE OAK ROAD,PADUCAH,KY,42003,MC CRACKEN,(270) 444-2444,Acute Care Hospitals,Voluntary non-profit - Church
+32716,BON SECOURS MEMORIAL REGIONAL MEDICAL CENTER,8260 ATLEE ROAD,MECHANICSVILLE,VA,23116,HANOVER,(804) 764-6000,Acute Care Hospitals,Voluntary non-profit - Church
+41731,PALO VERDE BEHAVIORAL HEALTH,2695 NORTH CRAYCROFT ROAD,TUCSON,AZ,85712,PIMA,(520) 322-2888,Psychiatric,Voluntary non-profit - Private
+51909,WELLSTAR SYLVAN GROVE HOSPITAL,1050 MCDONOUGH ROAD,JACKSON,GA,30233,BUTTS,(770) 775-7861,Critical Access Hospitals,Government - Hospital District or Authority
+12841,"ANIMAS SURGICAL HOSPITAL, LLC",575 RIVERGATE LN,DURANGO,CO,81301,LA PLATA,(970) 247-3537,Acute Care Hospitals,Physician
+12464,CASCADE VALLEY HOSPITAL,330 S STILLAGUAMISH AVE,ARLINGTON,WA,98223,SNOHOMISH,(360) 435-2133,Acute Care Hospitals,Government - Hospital District or Authority
+61286,HEREFORD REGIONAL MEDICAL CENTER,801 EAST THIRD,HEREFORD,TX,79045,DEAF SMITH,(806) 364-2141,Acute Care Hospitals,Government - Hospital District or Authority
+74580,CEDAR PARK REGIONAL MEDICAL CENTER,1401 MEDICAL PARKWAY,CEDAR PARK,TX,78613,WILLIAMSON,(512) 528-7000,Acute Care Hospitals,Proprietary
+39702,FAIRVIEW LAKES MEDICAL CENTER,5200 FAIRVIEW BOULEVARD,WYOMING,MN,55092,CHISAGO,(763) 389-6481,Acute Care Hospitals,Voluntary non-profit - Private
+17770,JACKSON-MADISON COUNTY GENERAL HOSPITAL,620 SKYLINE DRIVE,JACKSON,TN,38301,MADISON,(731) 541-5000,Acute Care Hospitals,Government - Hospital District or Authority
+42712,MERCY MEDICAL CENTER MT SHASTA,914 PINE STREET,MOUNT SHASTA,CA,96067,SISKIYOU,(530) 926-6111,Critical Access Hospitals,Voluntary non-profit - Other
+48411,MERCY HOSPITAL LINCOLN,1000 EAST CHERRY STREET,TROY,MO,63379,LINCOLN,(636) 528-8551,Critical Access Hospitals,Government - Local
+34774,MARY S HARPER GERIATRIC PSYCHIATRY CENTER,201 UNIVERSITY BLVD,TUSCALOOSA,AL,35401,TUSCALOOSA,(205) 759-0900,Psychiatric,Government - State
+53169,MOUNT SINAI WEST,1000 TENTH AVENUE,NEW YORK,NY,10019,NEW YORK,(212) 523-4000,Acute Care Hospitals,Voluntary non-profit - Private
+81524,WHITESBURG ARH HOSPITAL,240 HOSPITAL ROAD,WHITESBURG,KY,41858,LETCHER,(606) 633-3500,Acute Care Hospitals,Voluntary non-profit - Other
+53048,EDGEFIELD COUNTY HEALTHCARE AN AFFILIATE OF SELF R,300 RIDGE MEDICAL PLAZA,EDGEFIELD,SC,29824,EDGEFIELD,(803) 637-3174,Critical Access Hospitals,Government - Local
+81307,PRISMA HEATH TUOMEY HOSPITAL,129 N WASHINGTON ST,SUMTER,SC,29150,SUMTER,(803) 296-2548,Acute Care Hospitals,Voluntary non-profit - Private
+18298,HUNTINGTON MEMORIAL HOSPITAL,100 W  CALIFORNIA BLVD,PASADENA,CA,91109,LOS ANGELES,(626) 397-5000,Acute Care Hospitals,Voluntary non-profit - Other
+56206,ASCENSION SACRED HEART BAY,615 N BONITA AVE,PANAMA CITY,FL,32401,BAY,(850) 769-1511,Acute Care Hospitals,Government - Hospital District or Authority
+35899,TENNOVA HEALTHCARE-SHELBYVILLE,2835 HWY 231 NORTH,SHELBYVILLE,TN,37160,BEDFORD,(931) 685-5433,Acute Care Hospitals,Proprietary
+91337,PECONIC BAY MEDICAL CENTER,1300 ROANOKE AVENUE,RIVERHEAD,NY,11901,SUFFOLK,(631) 548-6000,Acute Care Hospitals,Voluntary non-profit - Private
+38285,ST MARYS MEDICAL CENTER,2635 N 7TH ST,GRAND JUNCTION,CO,81502,MESA,(970) 298-1950,Acute Care Hospitals,Voluntary non-profit - Church
+43171,MISSION HOSPITAL REGIONAL MED CENTER,27700 MEDICAL CENTER RD,MISSION VIEJO,CA,92691,ORANGE,(949) 364-1400,Acute Care Hospitals,Voluntary non-profit - Private
+89981,NORTH BALDWIN INFIRMARY,1815 HAND AVENUE,BAY MINETTE,AL,36507,BALDWIN,(251) 937-5521,Acute Care Hospitals,Voluntary non-profit - Private
+51080,ST JOSEPH'S UNIVERSITY MEDICAL CENTER,703 MAIN ST,PATERSON,NJ,7503,PASSAIC,(973) 754-2010,Acute Care Hospitals,Voluntary non-profit - Church
+73602,BAPTIST HEALTH - FORT SMITH,1001 TOWSON AVENUE,FORT SMITH,AR,72901,SEBASTIAN,(479) 441-4000,Acute Care Hospitals,Proprietary
+10090,CANONSBURG GENERAL HOSPITAL,100 MEDICAL BOULEVARD,CANONSBURG,PA,15317,WASHINGTON,(724) 873-5892,Acute Care Hospitals,Voluntary non-profit - Private
+52610,MEDICAL CENTER OF SOUTH ARKANSAS,700 WEST GROVE STREET,EL DORADO,AR,71730,UNION,(870) 863-2000,Acute Care Hospitals,Proprietary
+42098,ASPIRUS IRONWOOD HOSPITAL,N10561 GRAND VIEW LANE,IRONWOOD,MI,49938,GOGEBIC,(906) 932-2525,Critical Access Hospitals,Voluntary non-profit - Private
+73318,CHI HEALTH PLAINVIEW,"P O BOX 489, 704 NORTH THIRD ST",PLAINVIEW,NE,68769,PIERCE,(402) 582-4245,Critical Access Hospitals,Voluntary non-profit - Church
+67364,MINNEOLA DISTRICT HOSPITAL NBR 2,212 MAIN,MINNEOLA,KS,67865,FORD,(620) 885-4264,Critical Access Hospitals,Government - Hospital District or Authority
+34735,ST MARGARETS HOSPITAL,600 E 1ST ST,SPRING VALLEY,IL,61362,BUREAU,(815) 664-1176,Acute Care Hospitals,Voluntary non-profit - Private
+91304,MERCY ST ANNE HOSPITAL,3404 SYLVANIA AVENUE,TOLEDO,OH,43623,LUCAS,(419) 407-2663,Acute Care Hospitals,Voluntary non-profit - Church
+88546,CENTERPOINTE HOSPITAL,4801 WELDON SPRING PARKWAY,SAINT CHARLES,MO,63304,ST. CHARLES,(636) 441-7300,Psychiatric,Proprietary
+30024,NORTH COUNTRY HOSPITAL AND HEALTH CENTER,189 PROUTY DRIVE,NEWPORT,VT,5855,ORLEANS,(802) 334-7331,Critical Access Hospitals,Voluntary non-profit - Private
+88680,DOCTORS MEMORIAL HOSPITAL INC,333 N BYRON BUTLER PKWY,PERRY,FL,32348,TAYLOR,(850) 584-0800,Acute Care Hospitals,Voluntary non-profit - Private
+40175,COTTAGE HOSPITAL,90 SWIFTWATER RD,WOODSVILLE,NH,3785,GRAFTON,(603) 747-9000,Critical Access Hospitals,Voluntary non-profit - Private
+42364,BRYNN MARR HOSP,192 VILLAGE DRIVE,JACKSONVILLE,NC,28540,ONSLOW,(919) 577-1400,Psychiatric,Government - Federal
+13407,BLECKLEY MEMORIAL HOSPITAL,145 PEACOCK STREET,COCHRAN,GA,31014,BLECKLEY,(478) 934-6211,Critical Access Hospitals,Government - Hospital District or Authority
+18513,JUPITER MEDICAL CENTER,1210 S OLD DIXIE HWY,JUPITER,FL,33458,PALM BEACH,(561) 747-2234,Acute Care Hospitals,Voluntary non-profit - Private
+67273,"AD HOSPITAL EAST, LLC","12950 EAST FREEWAY, SUITE 100",HOUSTON,TX,77015,HARRIS,(713) 330-3897,Acute Care Hospitals,Proprietary
+52518,O'CONNOR HOSPITAL,460 ANDES ROAD,DELHI,NY,13753,DELAWARE,(607) 746-0300,Critical Access Hospitals,Voluntary non-profit - Private
+37456,ADVENTHEALTH ROLLINS BROOK,608 NORTH KEY AVENUE,LAMPASAS,TX,76550,LAMPASAS,(512) 556-3682,Critical Access Hospitals,Voluntary non-profit - Church
+35683,CHI HEALTH LAKESIDE,16901 LAKESIDE HILLS CT,OMAHA,NE,68130,DOUGLAS,(402) 717-8167,Acute Care Hospitals,Voluntary non-profit - Church
+10420,METHODIST MEDICAL CENTER OF OAK RIDGE,990 OAK RIDGE TURNPIKE BOX 529,OAK RIDGE,TN,37830,ANDERSON,(865) 835-1000,Acute Care Hospitals,Voluntary non-profit - Private
+90446,MENDOCINO COAST DISTRICT HOSPITAL,700 RIVER DR,FORT BRAGG,CA,95437,MENDOCINO,(707) 961-1234,Critical Access Hospitals,Government - Hospital District or Authority
+64781,NH Jacksonville,2080 Child Street,Jacksonville,FL,32212,DUVAL,(904) 542-7300,Acute Care - Department of Defense,Department of Defense
+70066,CHI OAKES HOSPITAL,1200 N 7TH ST,OAKES,ND,58474,DICKEY,(701) 742-3291,Critical Access Hospitals,Voluntary non-profit - Private
+30482,MONONGAHELA VALLEY HOSPITAL,1163 COUNTRY CLUB ROAD,MONONGAHELA,PA,15063,WASHINGTON,(724) 258-1000,Acute Care Hospitals,Voluntary non-profit - Private
+38805,MARIETTA MEMORIAL HOSPITAL,401 MATTHEW STREET,MARIETTA,OH,45750,WASHINGTON,(740) 374-1400,Acute Care Hospitals,Voluntary non-profit - Other
+47301,ADVOCATE ILLINOIS MASONIC MEDICAL CENTER,836 WEST WELLINGTON AVENUE,CHICAGO,IL,60657,COOK,(773) 975-1600,Acute Care Hospitals,Voluntary non-profit - Private
+35633,INDIANA UNIVERSITY HEALTH FRANKFORT INC,1300 S JACKSON ST,FRANKFORT,IN,46041,CLINTON,(765) 656-3000,Critical Access Hospitals,Voluntary non-profit - Private
+22566,COLORADO MENTAL HEALTH INSTITUTE AT FT LOGAN,3520 W OXFORD AVE,DENVER,CO,80236,DENVER,(303) 866-7066,Psychiatric,Voluntary non-profit - Other
+12725,CENTRACARE HEALTH SYSTEM - SAUK CENTRE,425 NORTH ELM STREET,SAUK CENTRE,MN,56378,STEARNS,(320) 352-2221,Critical Access Hospitals,Voluntary non-profit - Private
+86775,HENDRICKS REGIONAL HEALTH,1000 E MAIN ST,DANVILLE,IN,46122,HENDRICKS,(317) 745-4451,Acute Care Hospitals,Government - Local
+84948,THREE RIVERS HEALTH,701 S HEALTH PARKWAY,THREE RIVERS,MI,49093,ST. JOSEPH,(269) 273-9602,Acute Care Hospitals,Government - Hospital District or Authority
+27782,ASCENSION OUR LADY OF VICTORY HOSPITAL,1120 PINE ST,STANLEY,WI,54768,CHIPPEWA,(715) 644-5571,Critical Access Hospitals,Voluntary non-profit - Other
+53591,HOLMES COUNTY HOSPITAL AND CLINICS,239 BOWLING GREEN ROAD,LEXINGTON,MS,39095,HOLMES,(662) 834-1321,Critical Access Hospitals,Government - State
+25681,OCALA REGIONAL MEDICAL CENTER,1431 SW 1ST AVE,OCALA,FL,34478,MARION,(352) 401-1000,Acute Care Hospitals,Proprietary
+17012,WINDMOOR HEALTHCARE OF CLEARWATER,11300 US 19 N,CLEARWATER,FL,33764,PINELLAS,(727) 541-2646,Psychiatric,Proprietary
+10361,SHRINERS HOSPITALS FOR CHILDREN,815 MARKET STREET,GALVESTON,TX,77550,GALVESTON,(409) 770-6600,Childrens,Voluntary non-profit - Private
+31499,GOOD SAMARITAN MEDICAL CENTER,235 NORTH PEARL STREET,BROCKTON,MA,2301,PLYMOUTH,(508) 427-3000,Acute Care Hospitals,Proprietary
+84733,BRENTWOOD BEHAVIORAL HEALTHCARE OF MS,3531 EAST LAKELAND DRIVE,FLOWOOD,MS,39232,RANKIN,(601) 936-2024,Psychiatric,Proprietary
+56773,KAISER SUNNYSIDE MEDICAL CENTER,10180 SE SUNNYSIDE ROAD,CLACKAMAS,OR,97015,CLACKAMAS,(503) 652-2880,Acute Care Hospitals,Voluntary non-profit - Other
+39562,SAINT FRANCIS MEDICAL CENTER,530 NE GLEN OAK AVE,PEORIA,IL,61637,PEORIA,(309) 655-2000,Acute Care Hospitals,Voluntary non-profit - Private
+73368,ST JOSEPH MEDICAL CENTER,1717 SOUTH J STREET,TACOMA,WA,98405,PIERCE,(253) 627-4101,Acute Care Hospitals,Voluntary non-profit - Church
+77603,WORCESTER RECOVERY CENTER AND HOSPITAL,309 BELMONT STREET,WORCESTER,MA,1604,WORCESTER,(508) 752-4681,Psychiatric,Government - State
+24118,PRAIRIE RIDGE HOSPITAL AND HEALTH SERVICES,1411 HIGHWAY 793 E,ELBOW LAKE,MN,56531,GRANT,(218) 685-7300,Critical Access Hospitals,Voluntary non-profit - Private
+74066,WILLAPA HARBOR HOSPITAL,800 ALDER STREET,SOUTH BEND,WA,98586,PACIFIC,(360) 875-5526,Critical Access Hospitals,Government - Hospital District or Authority
+51587,SEMPERVIRENS,720 WOOD ST,EUREKA,CA,95501,HUMBOLDT,(707) 268-2990,Psychiatric,Government - Local
+55415,SCOTTSDALE SHEA MEDICAL CENTER,9003 EAST SHEA BOULEVARD,SCOTTSDALE,AZ,85260,MARICOPA,(480) 323-3000,Acute Care Hospitals,Proprietary
+64548,BANNER PAYSON MEDICAL CENTER,807 SOUTH PONDEROSA DRIVE,PAYSON,AZ,85541,GILA,(928) 474-3222,Critical Access Hospitals,Voluntary non-profit - Other
+26218,MOUNTAIN LAKES MEDICAL CENTER,162 LEGACY POINT,CLAYTON,GA,30525,RABUN,(706) 782-3100,Critical Access Hospitals,Proprietary
+11952,ST ALEXIUS MEDICAL CENTER,1555 N BARRINGTON RD,HOFFMAN ESTATES,IL,60169,COOK,(847) 843-2000,Acute Care Hospitals,Voluntary non-profit - Church
+60050,ESSENTIA HEALTH VIRGINIA,901 9TH STREET NORTH,VIRGINIA,MN,55792,ST. LOUIS,(218) 741-3340,Acute Care Hospitals,Government - Local
+93317,BATTLE MOUNTAIN GENERAL HOSPITAL,535 SOUTH HUMBOLDT STREET,BATTE MTN,NV,89820,LANDER,(775) 635-2550,Critical Access Hospitals,Government - Hospital District or Authority
+34714,PROVIDENCE SEWARD HOSPITAL,"417 FIRST AVENUE, PO BOX 365",SEWARD,AK,99664,KENAI PENINSULA,(907) 224-5205,Critical Access Hospitals,Government - Local
+41719,COMMUNITY REGIONAL MEDICAL CENTER,2823 FRESNO STREET,FRESNO,CA,93721,FRESNO,(559) 459-6000,Acute Care Hospitals,Voluntary non-profit - Private
+33838,WYOMING COUNTY COMMUNITY HOSPITAL,400 NORTH MAIN STREET,WARSAW,NY,14569,WYOMING,(585) 786-2233,Acute Care Hospitals,Government - Local
+23729,ASCENSION ST JOSEPH HOSPITAL,200 HEMLOCK,TAWAS CITY,MI,48764,IOSCO,(989) 362-9301,Acute Care Hospitals,Government - Hospital District or Authority
+64307,LITTLE RIVER HEALTHCARE,1700 BRAZOS,ROCKDALE,TX,76567,MILAM,(512) 446-4500,Critical Access Hospitals,Proprietary
+26959,NORTH VALLEY HOSPITAL,1600 HOSPITAL WAY,WHITEFISH,MT,59937,FLATHEAD,(406) 863-3550,Critical Access Hospitals,Voluntary non-profit - Private
+13682,NORTHBAY MEDICAL CENTER,1200 B  GALE WILSON BLVD,FAIRFIELD,CA,94533,SOLANO,(707) 646-5000,Acute Care Hospitals,Voluntary non-profit - Other
+34354,ST PETERSBURG GENERAL HOSPITAL,6500 38TH AVE N,SAINT PETERSBURG,FL,33710,PINELLAS,(727) 384-1414,Acute Care Hospitals,Proprietary
+15202,ELBERT MEMORIAL HOSPITAL,4 MEDICAL DRIVE,ELBERTON,GA,30635,ELBERT,(706) 213-2535,Acute Care Hospitals,Government - Hospital District or Authority
+43842,MCDOWELL ARH HOSPITAL,9879 KENTUCKY ROUTE 122,MC DOWELL,KY,41647,FLOYD,(606) 377-3400,Critical Access Hospitals,Voluntary non-profit - Private
+94315,UPMC MCKEESPORT,1500 FIFTH AVENUE,MC KEESPORT,PA,15132,ALLEGHENY,(412) 664-2000,Acute Care Hospitals,Voluntary non-profit - Private
+84572,SSM HEALTH SAINT LOUIS UNIVERSITY HOSPITAL,3635 VISTA AVE,SAINT LOUIS,MO,63110,ST. LOUIS CITY,(314) 577-8000,Acute Care Hospitals,Proprietary
+43963,ROCK COUNTY HOSPITAL,102 EAST SOUTH STREET,BASSETT,NE,68714,HOLT,(402) 684-3366,Critical Access Hospitals,Government - Local
+63151,HCA HOUSTON HEALTHCARE TOMBALL,605 HOLDERRIETH,TOMBALL,TX,77375,HARRIS,(281) 351-1623,Acute Care Hospitals,Proprietary
+41797,CLOUD COUNTY HEALTH CENTER,1100 HIGHLAND DRIVE,CONCORDIA,KS,66901,CLOUD,(785) 243-1234,Critical Access Hospitals,Voluntary non-profit - Private
+67392,MULTICARE GOOD SAMARITAN HOSPITAL,401 15TH AVENUE SE,PUYALLUP,WA,98372,PIERCE,(253) 697-2102,Acute Care Hospitals,Voluntary non-profit - Private
+62636,MEADOWS REGIONAL MEDICAL CENTER,ONE MEADOWS PARKWAY,VIDALIA,GA,30474,TOOMBS,(912) 535-5828,Acute Care Hospitals,Proprietary
+30665,NORTH MISSISSIPPI MEDICAL CENTER-GILMORE AMORY,1105 EARL FRYE BLVD,AMORY,MS,38821,MONROE,(662) 256-7111,Acute Care Hospitals,Proprietary
+14181,STEWART MEMORIAL COMMUNITY HOSPITAL,1301 WEST MAIN STREET,LAKE CITY,IA,51449,CALHOUN,(712) 464-3171,Critical Access Hospitals,Voluntary non-profit - Private
+39696,ED FRASER MEMORIAL HOSPITAL,159 N 3RD ST,MACCLENNY,FL,32063,BAKER,(904) 259-3151,Acute Care Hospitals,Voluntary non-profit - Church
+29387,"BAKERSFIELD BEHAVIORAL HEALTHCARE HOSPITAL, LLC",5201 WHITE LANE,BAKERSFIELD,CA,93309,KERN,(661) 398-1800,Psychiatric,Proprietary
+12506,MADERA COMMUNITY HOSPITAL,1250 E ALMOND AVE,MADERA,CA,93637,MADERA,(559) 675-5555,Acute Care Hospitals,Voluntary non-profit - Other
+61835,NORTHWOOD DEACONESS HEALTH CENTER,PO BOX 190,NORTHWOOD,ND,58267,GRAND FORKS,(701) 587-6060,Critical Access Hospitals,Voluntary non-profit - Church
+19753,POLK MEDICAL CENTER,2360 ROCKMART HIGHWAY,CEDARTOWN,GA,30125,POLK,(770) 748-2500,Critical Access Hospitals,Voluntary non-profit - Private
+51499,MERCER COUNTY JOINT TOWNSHIP COMMUNITY HOSPITAL,800 WEST MAIN STREET,COLDWATER,OH,45828,MERCER,(419) 678-4843,Acute Care Hospitals,Government - Hospital District or Authority
+10209,PIKE COUNTY MEMORIAL HOSPITAL,2305 WEST GEORGIA STREET,LOUISIANA,MO,63353,PIKE,(573) 754-5531,Critical Access Hospitals,Government - Local
+45997,GOOD SAMARITAN MEDICAL CENTER,1309 N FLAGLER DR,WEST PALM BEACH,FL,33401,PALM BEACH,(561) 655-5511,Acute Care Hospitals,Proprietary
+79493,CHILDRENS HOSPITAL,200 HENRY CLAY AVE,NEW ORLEANS,LA,70118,ORLEANS,(504) 899-9511,Childrens,Voluntary non-profit - Private
+51770,HARBOR OAKS HOSPITAL,35031 23 MILE RD,NEW BALTIMORE,MI,48047,MACOMB,(586) 725-5777,Psychiatric,Proprietary
+50419,NOVANT HEALTH UVA HEALTH HAYMARKET MEDICAL CENTER,15225 HEALTHCOTE BOULEVARD,HAYMARKET,VA,20169,PRINCE WILLIAM,(571) 284-1000,Acute Care Hospitals,Voluntary non-profit - Private
+63964,SOUTHWESTERN VERMONT MEDICAL CENTER,100 HOSPITAL DRIVE,BENNINGTON,VT,5201,BENNINGTON,(802) 442-6361,Acute Care Hospitals,Voluntary non-profit - Private
+36043,BEAVER VALLEY HOSPITAL,1109 NORTH 100 WEST,BEAVER,UT,84713,BEAVER,(435) 438-7100,Critical Access Hospitals,Government - State
+77696,KUAKINI MEDICAL CENTER,347 NORTH KUAKINI STREET,HONOLULU,HI,96817,HONOLULU,(808) 536-2236,Acute Care Hospitals,Voluntary non-profit - Private
+29737,ST MARY'S MEDICAL CENTER,2900 1ST AVENUE,HUNTINGTON,WV,25702,CABELL,(304) 526-1234,Acute Care Hospitals,Voluntary non-profit - Church
+93096,CHILDRENS MEDICAL CTR OF DALLAS,1935 MEDICAL DISTRICT DRIVE,DALLAS,TX,75235,DALLAS,(214) 456-7000,Childrens,Voluntary non-profit - Private
+42861,JOHN C. LINCOLN NORTH MOUNTAIN HOSPITAL,250 EAST DUNLAP AVENUE,PHOENIX,AZ,85020,MARICOPA,(602) 331-5862,Acute Care Hospitals,Voluntary non-profit - Private
+83844,CLAY COUNTY MEDICAL CENTER,617 LIBERTY,CLAY CENTER,KS,67432,CLAY,(785) 632-2144,Critical Access Hospitals,Government - Local
+77244,WASHINGTON COUNTY HOSPITAL*,705 S GRAND AVE,NASHVILLE,IL,62263,WASHINGTON,(618) 327-8236,Critical Access Hospitals,Government - Hospital District or Authority
+76457,ALOMERE HEALTH,111 17TH AVENUE EAST,ALEXANDRIA,MN,56308,DOUGLAS,(320) 762-1511,Acute Care Hospitals,Government - Local
+48137,MARCUM & WALLACE MEMORIAL HOSPITAL,60 MERCY COURT,IRVINE,KY,40336,ESTILL,(606) 723-2115,Critical Access Hospitals,Voluntary non-profit - Private
+55579,SEQUOIA HOSPITAL,170 ALAMEDA DE LAS PULGAS,REDWOOD CITY,CA,94062,SAN MATEO,(650) 367-5551,Acute Care Hospitals,Voluntary non-profit - Private
+75625,SAINT ROSE DOMINICAN HOSPITALS - SIENA CAMPUS,3001 ST ROSE PARKWAY,HENDERSON,NV,89052,CLARK,(702) 616-5000,Acute Care Hospitals,Voluntary non-profit - Private
+24744,SOUTH BIG HORN COUNTY CRITICAL ACCESS HOSPITAL,388 US HIGHWAY 20 SOUTH,BASIN,WY,82410,BIG HORN,(307) 568-1500,Critical Access Hospitals,Government - Hospital District or Authority
+70567,ASCENSION PROVIDENCE ROCHESTER HOSPITAL,1101 W UNIVERSITY DRIVE,ROCHESTER,MI,48307,OAKLAND,(248) 652-5000,Acute Care Hospitals,Voluntary non-profit - Private
+33146,ESKENAZI HEALTH,720 ESKENAZI AVENUE,INDIANAPOLIS,IN,46202,MARION,(317) 880-4818,Acute Care Hospitals,Government - Local
+67099,BLACK HILLS SURGICAL HOSPITAL LLP,216 ANAMARIA DR,RAPID CITY,SD,57703,PENNINGTON,(605) 721-4700,Acute Care Hospitals,Proprietary
+57719,MIDMICHIGAN MEDICAL CENTER-CLARE,703 N MCEWAN ST,CLARE,MI,48617,CLARE,(989) 802-5000,Acute Care Hospitals,Voluntary non-profit - Other
+12758,ST LUKES HOSPITAL,232 S WOODS MILL RD,CHESTERFIELD,MO,63017,ST. LOUIS,(314) 434-1500,Acute Care Hospitals,Voluntary non-profit - Private
+15508,EATON RAPIDS MEDICAL CENTER,1500 S MAIN STREET,EATON RAPIDS,MI,48827,EATON,(517) 663-2671,Critical Access Hospitals,Voluntary non-profit - Private
+87127,BRENTWOOD SPRINGS,4488 ROSLIN RD,NEWBURGH,IN,47630,WARRICK,(812) 858-7200,Psychiatric,Voluntary non-profit - Private
+14516,VAN DIEST MEDICAL CENTER,2350 HOSPITAL DRIVE,WEBSTER CITY,IA,50595,HAMILTON,(515) 832-9400,Critical Access Hospitals,Government - Local
+56108,CAPE COD HOSPITAL,88 LEWIS BAY ROAD,HYANNIS,MA,2601,BARNSTABLE,(508) 771-1800,Acute Care Hospitals,Voluntary non-profit - Private
+13280,KINGS DAUGHTERS MEDICAL CENTER OHIO,1901 ARGONNE ROAD,PORTSMOUTH,OH,45662,SCIOTO,(740) 991-4000,Acute Care Hospitals,Voluntary non-profit - Private
+17387,CAPE CORAL HOSPITAL,636 DEL PRADO BLVD,CAPE CORAL,FL,33990,LEE,(239) 574-2323,Acute Care Hospitals,Government - Hospital District or Authority
+23715,MEDSTAR SAINT MARY'S HOSPITAL,25500 POINT LOOKOUT ROAD,LEONARDTOWN,MD,20650,ST. MARYS,(301) 475-6001,Acute Care Hospitals,Voluntary non-profit - Private
+13114,HALE HO'OLA HAMAKUA,45-547 PLUMERIA STREET,HONOKAA,HI,96727,HAWAII,(808) 932-4100,Critical Access Hospitals,Government - State
+19716,WESTERN WISCONSIN HEALTH,1100 BERGSLIEN ST,BALDWIN,WI,54002,ST. CROIX,(715) 684-1111,Critical Access Hospitals,Voluntary non-profit - Private
+19655,COLORADO MENTAL HEALTH INSTITUTE AT PUEBLO-PSYCH,1600 W 24TH ST,PUEBLO,CO,81003,PUEBLO,(719) 546-4000,Psychiatric,Government - State
+66189,OKLAHOMA SPINE HOSPITAL,14101 PARKWAY COMMONS DRIVE,OKLAHOMA CITY,OK,73134,OKLAHOMA,(405) 749-2700,Acute Care Hospitals,Physician
+38149,ASANTE ROGUE REGIONAL MEDICAL CENTER,2825 E BARNETT ROAD,MEDFORD,OR,97504,JACKSON,(541) 789-7000,Acute Care Hospitals,Voluntary non-profit - Private
+89180,HOWARD UNIVERSITY HOSPITAL,2041 GEORGIA AVE NW,WASHINGTON,DC,20060,THE DISTRICT,(202) 745-6100,Acute Care Hospitals,Voluntary non-profit - Other
+27199,MADISON VALLEY MEDICAL CENTER,305 N MAIN,ENNIS,MT,59729,MADISON,(406) 682-4222,Critical Access Hospitals,Government - Hospital District or Authority
+94006,MARSHFIELD MEDICAL CENTER - LADYSMITH,900 COLLEGE AVE WEST,LADYSMITH,WI,54848,RUSK,(715) 532-5561,Critical Access Hospitals,Government - Local
+47692,ASSUMPTION COMMUNITY HOSPITAL,135 HIGHWAY 402,NAPOLEONVILLE,LA,70390,ASSUMPTION,(985) 369-3600,Critical Access Hospitals,Voluntary non-profit - Private
+19448,POCAHONTAS MEMORIAL HOSPITAL,150 DUNCAN ROAD,BUCKEYE,WV,24924,POCAHONTAS,(304) 799-7400,Critical Access Hospitals,Voluntary non-profit - Other
+39374,MOSAIC MEDICAL CENTER ALBANY,705 N COLLEGE STREET,ALBANY,MO,64402,GENTRY,(660) 726-3941,Critical Access Hospitals,Voluntary non-profit - Private
+66138,VIDANT BEAUFORT HOSPITAL,628 E 12TH ST,WASHINGTON,NC,27889,BEAUFORT,(252) 975-4100,Acute Care Hospitals,Voluntary non-profit - Private
+19686,BEAR VALLEY COMMUNITY HOSPITAL,41870 GARSTIN DR,BIG BEAR LAKE,CA,92315,SAN BERNARDINO,(909) 866-6501,Critical Access Hospitals,Government - Hospital District or Authority
+49922,BLACKBERRY CENTER,91 BEEHIVE CIR,SAINT CLOUD,FL,34769,OSCEOLA,(321) 805-5090,Psychiatric,Voluntary non-profit - Private
+42398,GLACIAL RIDGE HOSPITAL,10 4TH AVENUE SOUTHEAST,GLENWOOD,MN,56334,POPE,(320) 634-4521,Critical Access Hospitals,Government - Hospital District or Authority
+86504,MERCY REGIONAL MEDICAL CENTER,1010 THREE SPRINGS BLVD,DURANGO,CO,81301,LA PLATA,(970) 247-4311,Acute Care Hospitals,Voluntary non-profit - Church
+88122,SHOSHONE MEDICAL CENTER,25 JACOBS GULCH ROAD,KELLOGG,ID,83837,SHOSHONE,(208) 784-1221,Critical Access Hospitals,Government - Hospital District or Authority
+71926,SANFORD TRACY MEDICAL CENTER,251 FIFTH STREET EAST,TRACY,MN,56175,LYON,(507) 629-8400,Critical Access Hospitals,Voluntary non-profit - Private
+52820,RIVER FALLS AREA HOSPITAL,1629 E DIVISION ST,RIVER FALLS,WI,54022,PIERCE,(715) 307-6000,Critical Access Hospitals,Voluntary non-profit - Private
+76883,WELLSTAR SPALDING REGIONAL HOSPITAL,601 SOUTH 8TH STREET,GRIFFIN,GA,30223,SPALDING,(770) 228-2721,Acute Care Hospitals,Proprietary
+52386,DALLAS COUNTY MEDICAL CENTER,201 CLIFTON STREET,FORDYCE,AR,71742,DALLAS,(870) 352-6300,Critical Access Hospitals,Government - Local
+56523,ALTON MENTAL HEALTH CENTER,4500 COLLEGE AVENUE,ALTON,IL,62002,MADISON,(618) 474-3800,Psychiatric,Government - State
+62586,FRANCISCAN HEALTH MUNSTER,701 SUPERIOR AVE,MUNSTER,IN,46321,LAKE,(219) 922-4200,Acute Care Hospitals,Voluntary non-profit - Private
+86320,WHITFIELD MEDICAL SURGICAL HOSPITAL,"3550 HWY 468 W, BLDG 60",WHITFIELD,MS,39193,RANKIN,(601) 351-8023,Acute Care Hospitals,Government - State
+18526,HIALEAH HOSPITAL,651 E 25TH ST,HIALEAH,FL,33013,MIAMI-DADE,(305) 693-6100,Acute Care Hospitals,Proprietary
+11145,MEMORIAL MEDICAL CENTER,2450 SOUTH TELSHOR BLVD,LAS CRUCES,NM,88011,DONA ANA,(575) 522-8641,Acute Care Hospitals,Proprietary
+92778,OCEANS HOSPITAL OF BROUSSARD,420 ALBERTSONS PARKWAY,BROUSSARD,LA,70518,LAFAYETTE,(337) 839-9008,Psychiatric,Proprietary
+36451,WATERBURY HOSPITAL,64 ROBBINS ST,WATERBURY,CT,6721,NEW HAVEN,(203) 573-6000,Acute Care Hospitals,Proprietary
+19818,MEDICAL CITY MCKINNEY,4500 MEDICAL CENTER DRIVE,MCKINNEY,TX,75069,COLLIN,(972) 547-8000,Acute Care Hospitals,Proprietary
+29513,(CLOSED) CUMBERLAND RIVER HOSPITAL,100 OLD JEFFERSON ST,CELINA,TN,38551,CLAY,(931) 243-3581,Critical Access Hospitals,Physician
+61028,POCAHONTAS COMMUNITY HOSPITAL,606 N W 7TH STREET,POCAHONTAS,IA,50574,POCAHONTAS,(712) 335-3501,Critical Access Hospitals,Government - Local
+48737,YORK HOSPITAL,1001 SOUTH GEORGE STREET,YORK,PA,17403,YORK,(717) 851-2345,Acute Care Hospitals,Voluntary non-profit - Private
+86847,MILLINOCKET REGIONAL HOSPITAL,200 SOMERSET STREET,MILLINOCKET,ME,4462,PENOBSCOT,(207) 723-5161,Critical Access Hospitals,Voluntary non-profit - Private
+89222,UNIVERSITY OF CALIFORNIA IRVINE MED CENTER,101 CITY DRIVE SOUTH,ORANGE,CA,92868,ORANGE,(714) 456-6112,Acute Care Hospitals,Government - Local
+71002,HAVEN BEHAVIORAL HOSPITAL OF DAYTON,"ONE ELIZABETH PLACE, E3 SUITE A",DAYTON,OH,45417,MONTGOMERY,(937) 234-0103,Psychiatric,Proprietary
+85735,CHEYENNE REGIONAL MEDICAL CENTER,214 EAST 23RD STREET,CHEYENNE,WY,82001,LARAMIE,(307) 633-7600,Acute Care Hospitals,Voluntary non-profit - Other
+56782,JFK MEDICAL CENTER,5301 S CONGRESS AVE,ATLANTIS,FL,33462,PALM BEACH,(561) 965-7300,Acute Care Hospitals,Proprietary
+53119,MANGUM REGIONAL MEDICAL CENTER,1 WICKERSHAM DRIVE,MANGUM,OK,73554,GREER,(580) 782-3353,Critical Access Hospitals,Proprietary
+43865,HIMA SAN PABLO HUMACAO,CALLE FONT MARTELO #3,HUMACAO,PR,791,HUMACAO,(787) 852-2424,Acute Care Hospitals,Proprietary
+76182,RICHMOND UNIVERSITY MEDICAL CENTER,355 BARD AVENUE,STATEN ISLAND,NY,10310,RICHMOND,(718) 818-1234,Acute Care Hospitals,Voluntary non-profit - Private
+28881,POINTE COUPEE GENERAL HOSPITAL,2202 FALSE RIVER DRIVE,NEW ROADS,LA,70760,POINTE COUPEE,(225) 368-6386,Critical Access Hospitals,Government - Hospital District or Authority
+19832,BEAUMONT HOSPITAL - TAYLOR,10000 TELEGRAPH ROAD,TAYLOR,MI,48180,WAYNE,(313) 295-5253,Acute Care Hospitals,Voluntary non-profit - Private
+17243,THREE RIVERS HOSPITAL,451 HIGHWAY 13 SOUTH,WAVERLY,TN,37185,HUMPHREYS,(931) 296-4203,Critical Access Hospitals,Voluntary non-profit - Private
+69778,JOHNS HOPKINS ALL CHILDREN'S HOSPITAL,501 SIXTH AVENUE SOUTH,SAINT PETERSBURG,FL,33701,PINELLAS,(813) 898-7451,Childrens,Voluntary non-profit - Other
+11016,APPALACHIAN BEHAVIORAL HEALTH CARE,100 HOSPITAL DRIVE,ATHENS,OH,45701,ATHENS,(740) 594-5000,Psychiatric,Proprietary
+64601,LIBERTY REGIONAL MEDICAL CENTER,462 E G MILES PARKWAY,HINESVILLE,GA,31310,LIBERTY,(912) 369-9438,Critical Access Hospitals,Government - Hospital District or Authority
+50358,WHITE COUNTY MEDICAL CENTER,3214 EAST RACE AVENUE,SEARCY,AR,72143,WHITE,(501) 278-3100,Acute Care Hospitals,Voluntary non-profit - Private
+61688,MAYERS MEMORIAL HOSPITAL,43563 HWY 299 EAST,FALL RIVER MILLS,CA,96028,SHASTA,(530) 336-5511,Critical Access Hospitals,Voluntary non-profit - Other
+66401,HEBER VALLEY HOSPITAL,1485 SOUTH HIGHWAY 40,HEBER CITY,UT,84032,WASATCH,(435) 654-2500,Critical Access Hospitals,Voluntary non-profit - Private
+79155,CRETE AREA MEDICAL CENTER,"P O BOX 220, 2910 BETTEN DR",CRETE,NE,68333,SALINE,(402) 826-2101,Critical Access Hospitals,Voluntary non-profit - Private
+66457,WHIDBEYHEALTH MEDICAL CENTER,101 NORTH MAIN STREET,COUPEVILLE,WA,98239,ISLAND,(360) 678-5151,Critical Access Hospitals,Government - Hospital District or Authority
+26065,GEORGE L MEE MEMORIAL HOSPITAL,300 CANAL STREET,KING CITY,CA,93930,MONTEREY,(831) 385-6000,Acute Care Hospitals,Voluntary non-profit - Other
+84500,"VILLAGES REGIONAL HOSPITAL, THE",1451 EL CAMINO REAL,THE VILLAGES,FL,32159,LAKE,(352) 751-8000,Acute Care Hospitals,Voluntary non-profit - Private
+17789,CALIFORNIA PACIFIC MEDICAL CTR-DAVIES CAMPUS HOSP,601 DUBOCE AVENUE,SAN FRANCISCO,CA,94117,SAN FRANCISCO,(415) 600-6000,Acute Care Hospitals,Voluntary non-profit - Other
+57538,PONTIAC GENERAL HOSPITAL,461 W HURON ST,PONTIAC,MI,48341,OAKLAND,(248) 857-7200,Acute Care Hospitals,Proprietary
+46005,CHAN SOON- SHIONG MEDICAL CENTER AT WINDBER,600 SOMERSET AVENUE,WINDBER,PA,15963,SOMERSET,(814) 467-3000,Acute Care Hospitals,Voluntary non-profit - Private
+27496,ABRAZO CENTRAL CAMPUS,2000 WEST BETHANY HOME ROAD,PHOENIX,AZ,85015,MARICOPA,(602) 249-0212,Acute Care Hospitals,Physician
+84748,OSWEGO HOSPITAL,110 WEST SIXTH STREET,OSWEGO,NY,13126,OSWEGO,(315) 349-5511,Acute Care Hospitals,Voluntary non-profit - Private
+13247,ST FRANCIS HOSPITAL,2122 MANCHESTER EXPRESSWAY,COLUMBUS,GA,31995,MUSCOGEE,(706) 596-4020,Acute Care Hospitals,Voluntary non-profit - Private
+62178,COMMUNITY MEDICAL CENTER,2827 FORT MISSOULA RD,MISSOULA,MT,59804,MISSOULA,(406) 728-4100,Acute Care Hospitals,Voluntary non-profit - Private
+37003,SPEARE MEMORIAL HOSPITAL,16 HOSPITAL ROAD,PLYMOUTH,NH,3264,GRAFTON,(603) 536-1120,Critical Access Hospitals,Voluntary non-profit - Private
+25459,STANISLAUS SURGICAL HOSPITAL,1421 OAKDALE ROAD,MODESTO,CA,95355,STANISLAUS,(209) 572-2700,Acute Care Hospitals,Proprietary
+68420,OSWEGO COMMUNITY HOSPITAL,800 BARKER DRIVE,OSWEGO,KS,67356,LABETTE,(620) 795-2921,Critical Access Hospitals,Proprietary
+85205,SOUTH CENTRAL REG MED CTR,1220 JEFFERSON ST BOX 607,LAUREL,MS,39440,JONES,(601) 426-4000,Acute Care Hospitals,Government - Local
+20008,MILFORD REGIONAL MEDICAL CENTER,14 PROSPECT STREET,MILFORD,MA,1757,WORCESTER,(508) 473-1190,Acute Care Hospitals,Voluntary non-profit - Other
+75254,ASCENSION ST VINCENT'S CLAY COUNTY,1670 ST VINCENTS WAY,MIDDLEBURG,FL,32068,CLAY,(904) 602-1000,Acute Care Hospitals,Voluntary non-profit - Private
+22770,HERMANN AREA DISTRICT HOSPITAL,509 W 18TH ST,HERMANN,MO,65041,GASCONADE,(573) 486-2191,Critical Access Hospitals,Government - Hospital District or Authority
+35128,RED BUD REGIONAL HOSPITAL,325 SPRING STREET,RED BUD,IL,62278,RANDOLPH,(618) 282-3831,Critical Access Hospitals,Proprietary
+48447,TWIN COUNTY REGIONAL HOSPITAL,200 HOSPITAL DRIVE,GALAX,VA,24333,GALAX CITY,(276) 236-8181,Acute Care Hospitals,Proprietary
+49997,STONE COUNTY HOSPITAL,1434 EAST CENTRAL AVENUE,WIGGINS,MS,39577,STONE,(601) 928-6600,Critical Access Hospitals,Proprietary
+18232,OCHSNER MEDICAL CENTER - BATON ROUGE,17000 MEDICAL CENTER DR,BATON ROUGE,LA,70816,E. BATON ROUGE,(225) 752-2470,Acute Care Hospitals,Voluntary non-profit - Private
+84463,ONSLOW MEMORIAL HOSPITAL,317 WESTERN BOULEVARD,JACKSONVILLE,NC,28540,ONSLOW,(910) 577-2345,Acute Care Hospitals,Government - Hospital District or Authority
+36362,MEDINA MEMORIAL HOSPITAL,200 OHIO STREET,MEDINA,NY,14103,ORLEANS,(585) 798-8111,Critical Access Hospitals,Voluntary non-profit - Private
+39577,SPRINGWOODS BEHAVIORAL HEALTH SERVICES,1955 WEST TRUCKER'S DRIVE,FAYETTEVILLE,AR,72704,WASHINGTON,(479) 973-6000,Psychiatric,Proprietary
+82088,ST MARY MEDICAL CENTER INC,1500 S LAKE PARK AVE,HOBART,IN,46342,LAKE,(219) 942-0551,Acute Care Hospitals,Voluntary non-profit - Private
+52505,ALLIANCEHEALTH DURANT,1800 UNIVERSITY BOULEVARD,DURANT,OK,74702,BRYAN,(405) 924-3080,Acute Care Hospitals,Proprietary
+35680,SOUTH OAKS HOSP,400 SUNRISE HIGHWAY,AMITYVILLE,NY,11701,SUFFOLK,(516) 264-4000,Psychiatric,Voluntary non-profit - Private
+54762,"BHC MESILLA VALLEY HOSPITAL, LLC",3751 DEL REY BOULEVARD,LAS CRUCES,NM,88012,DONA ANA,(575) 382-3500,Psychiatric,Proprietary
+24484,REEVES COUNTY HOSPITAL DISTRICT,2323 TEXAS STREET,PECOS,TX,79772,REEVES,(432) 447-3551,Critical Access Hospitals,Government - Local
+68763,MAYO CLINIC HEALTH SYSTEM-NEW PRAGUE,301 2ND STREET NORTHEAST,NEW PRAGUE,MN,56071,SCOTT,(952) 758-4431,Critical Access Hospitals,Voluntary non-profit - Private
+78836,PHYSICIANS BEHAVIORAL HOSPITAL,2025 DESOTO ST,SHREVEPORT,LA,71103,CADDO,(318) 550-0520,Psychiatric,Proprietary
+74603,SAINT THOMAS RUTHERFORD HOSPITAL,1700 MEDICAL CENTER PARKWAY,MURFREESBORO,TN,37129,RUTHERFORD,(615) 396-4100,Acute Care Hospitals,Voluntary non-profit - Church
+60257,NORTH ARKANSAS REGIONAL MEDICAL CENTER,620 NORTH MAIN STREET,HARRISON,AR,72601,BOONE,(870) 414-4000,Acute Care Hospitals,Voluntary non-profit - Other
+51563,MIZELL MEMORIAL HOSPITAL,702 N MAIN ST,OPP,AL,36467,COVINGTON,(334) 493-3541,Acute Care Hospitals,Voluntary non-profit - Private
+48721,ADVENTHEALTH OTTAWA,1301 S MAIN STREET,OTTAWA,KS,66067,FRANKLIN,(785) 229-8200,Acute Care Hospitals,Government - Local
+68037,EDWARD HOSPITAL,801 SOUTH WASHINGTON,NAPERVILLE,IL,60540,DU PAGE,(630) 527-3000,Acute Care Hospitals,Voluntary non-profit - Private
+62264,PROVIDENCE ST MARY MEDICAL CENTER,401 W POPLAR ST,WALLA WALLA,WA,99362,WALLA WALLA,(509) 522-5900,Acute Care Hospitals,Voluntary non-profit - Private
+85651,CENTENNIAL HILLS HOSPITAL MEDICAL CENTER,6900 N DURANGO DR,LAS VEGAS,NV,89149,CLARK,(702) 835-9700,Acute Care Hospitals,Proprietary
+30791,HARBOR BEACH COMMUNITY HOSPITAL,210 S FIRST ST,HARBOR BEACH,MI,48441,HURON,(989) 479-3201,Critical Access Hospitals,Voluntary non-profit - Private
+63763,MINIDOKA MEMORIAL HOSPITAL,1224 8TH STREET,RUPERT,ID,83350,MINIDOKA,(208) 436-0481,Critical Access Hospitals,Government - Local
+50328,COMMUNITY HOSPITAL EAST,1500 N RITTER AVE,INDIANAPOLIS,IN,46219,MARION,(317) 355-5411,Acute Care Hospitals,Voluntary non-profit - Private
+44187,BAYLOR SCOTT AND WHITE ORTHOPEDIC AND SPINE HOSPI,707 HIGHLANDER BLVD,ARLINGTON,TX,76015,TARRANT,(817) 549-2364,Acute Care Hospitals,Proprietary
+86221,COASTAL CAROLINA HOSPITAL,1000 MEDICAL CENTER DRIVE,HARDEEVILLE,SC,29927,JASPER,(843) 784-8182,Acute Care Hospitals,Proprietary
+19282,MCLAREN BAY REGION,1900 COLUMBUS AVE,BAY CITY,MI,48708,BAY,(989) 894-3000,Acute Care Hospitals,Voluntary non-profit - Private
+44249,MERCY HOSPITAL WALDRON,1341 WEST SIXTH STREET,WALDRON,AR,72958,SCOTT,(479) 637-4135,Critical Access Hospitals,Voluntary non-profit - Private
+13189,LIMA MEMORIAL HEALTH SYSTEM,1001 BELLEFONTAINE AVENUE,LIMA,OH,45804,ALLEN,(419) 226-3335,Acute Care Hospitals,Voluntary non-profit - Other
+34117,HEALTH CENTRAL,10000 W COLONIAL DR,OCOEE,FL,34761,ORANGE,(407) 296-1820,Acute Care Hospitals,Government - State
+10379,LINCOLN MEDICAL & MENTAL HEALTH CENTER,234 EAST 149TH STREET,BRONX,NY,10451,BRONX,(718) 579-5000,Acute Care Hospitals,Government - Local
+29507,COLQUITT REGIONAL MEDICAL CENTER,3131 THOMASVILLE HWY BOX 40,MOULTRIE,GA,31768,COLQUITT,(229) 985-3420,Acute Care Hospitals,Government - Hospital District or Authority
+51707,METHODIST HOSPITAL,7700 FLOYD CURL DR,SAN ANTONIO,TX,78229,BEXAR,(210) 575-4000,Acute Care Hospitals,Proprietary
+48757,CUMBERLAND MEDICAL CENTER,421 S MAIN ST,CROSSVILLE,TN,38555,CUMBERLAND,(931) 484-9511,Acute Care Hospitals,Voluntary non-profit - Private
+66405,TEXAS INSTITUTE FOR SURGERY AT PRESBYTERIAN HOSPIT,7115 GREENVILLE AVENUE SUITE 100,DALLAS,TX,75231,DALLAS,(214) 647-5300,Acute Care Hospitals,Proprietary
+16961,VICTOR VALLEY GLOBAL MEDICAL CENTER,15248 11TH ST,VICTORVILLE,CA,92392,SAN BERNARDINO,(760) 245-8691,Acute Care Hospitals,Voluntary non-profit - Private
+57992,WENTWORTH-DOUGLASS HOSPITAL,789 CENTRAL AVE,DOVER,NH,3820,STRAFFORD,(603) 740-2580,Acute Care Hospitals,Voluntary non-profit - Private
+87612,NOVANT HEALTH ROWAN MEDICAL CENTER,612 MOCKSVILLE AVE,SALISBURY,NC,28144,ROWAN,(704) 210-5000,Acute Care Hospitals,Voluntary non-profit - Private
+34514,UNIVERSITY OF MD HARFORD MEMORIAL HOSPITAL,501 SOUTH  UNION AVENUE,HAVRE DE GRACE,MD,21078,HARFORD,(443) 643-3303,Acute Care Hospitals,Voluntary non-profit - Private
+20486,WAR MEMORIAL HOSPITAL INC,1 HEALTHY WAY,BERKELEY SPRINGS,WV,25411,MORGAN,(304) 258-1234,Critical Access Hospitals,Voluntary non-profit - Private
+23279,HAZEL HAWKINS MEMORIAL HOSPITAL,911 SUNSET DRIVE,HOLLISTER,CA,95023,SAN BENITO,(831) 637-5711,Acute Care Hospitals,Government - Hospital District or Authority
+65015,TORRANCE STATE HOSPITAL,121 LONGVIEW DRIVE,TORRANCE,PA,15779,WESTMORELAND,(724) 459-8000,Psychiatric,Government - State
+89193,HEALTH ALLIANCE - CLINTON HOSPITAL,60 HOSPITAL ROAD,LEOMINSTER,MA,1453,WORCESTER,(978) 466-2000,Acute Care Hospitals,Voluntary non-profit - Other
+33254,"HUMBLE SURGICAL HOSPITAL, LLC",1475 FM 1960 BYPASS ROAD EAST,HUMBLE,TX,77338,HARRIS,(281) 964-2100,Acute Care Hospitals,Physician
+53479,ALHAMBRA HOSPITAL MEDICAL CENTER,100 S RAYMOND AVE,ALHAMBRA,CA,91801,LOS ANGELES,(626) 570-1606,Acute Care Hospitals,Proprietary
+34878,SSM HEALTH ST MARY'S HOSPITAL - MADISON,700 SOUTH PARK ST,MADISON,WI,53715,DANE,(608) 251-6100,Acute Care Hospitals,Voluntary non-profit - Private
+11155,SENTARA VIRGINIA BEACH GENERAL HOSPITAL,1060 FIRST COLONIAL ROAD,VIRGINIA BEACH,VA,23454,VIRGINIA BEACH CITY,(757) 395-8000,Acute Care Hospitals,Voluntary non-profit - Other
+38789,MERCY HOSPITAL FORT SMITH,7301 ROGERS AVE,FORT SMITH,AR,72903,SEBASTIAN,(479) 314-6000,Acute Care Hospitals,Voluntary non-profit - Private
+57964,ST VINCENT'S CHILTON,2030 LAY DAM ROAD,CLANTON,AL,35045,CHILTON,(205) 258-4400,Acute Care Hospitals,Voluntary non-profit - Church
+86899,AURORA CHARTER OAK,1161 E COVINA BLVD,COVINA,CA,91724,LOS ANGELES,(626) 966-1632,Psychiatric,Proprietary
+86390,ALLEGHENY VALLEY HOSPITAL,1301 CARLISLE ST,NATRONA,PA,15065,ALLEGHENY,(412) 224-5100,Acute Care Hospitals,Voluntary non-profit - Other
+55049,ST CHARLES PRINEVILLE,384 SE COMBS FLAT ROAD,PRINEVILLE,OR,97754,CROOK,(541) 447-6254,Critical Access Hospitals,Voluntary non-profit - Private
+10999,HENRY COUNTY HEALTH CENTER,407 S WHITE ST,MOUNT PLEASANT,IA,52641,HENRY,(319) 385-3141,Critical Access Hospitals,Government - Local
+15256,LAKELAND REGIONAL MEDICAL CENTER,1324 LAKELAND HILLS BLVD,LAKELAND,FL,33805,POLK,(863) 687-1100,Acute Care Hospitals,Voluntary non-profit - Private
+60706,BANNER-UNIVERSITY MEDICAL CENTER SOUTH CAMPUS,2800 EAST AJO WAY,TUCSON,AZ,85713,PIMA,(520) 874-2000,Acute Care Hospitals,Voluntary non-profit - Private
+45110,SAINT LUKES NORTH HOSPITAL,5830 N W BARRY ROAD,KANSAS CITY,MO,64154,PLATTE,(816) 891-6000,Acute Care Hospitals,Voluntary non-profit - Private
+84473,ST CLARE HOSPITAL,11315 BRIDGEPORT WAY S W,LAKEWOOD,WA,98499,PIERCE,(253) 588-1711,Acute Care Hospitals,Voluntary non-profit - Church
+76709,SHRINERS HOSPITALS FOR CHILDREN,950 WEST FARIS ROAD,GREENVILLE,SC,29605,GREENVILLE,(864) 271-3444,Childrens,Voluntary non-profit - Private
+88791,DINI-TOWNSEND HOSPITAL AT NNMH,480 GALLETTI WAY,SPARKS,NV,89431,WASHOE,(775) 688-2001,Psychiatric,Government - State
+26251,OPELOUSAS GENERAL HEALTH SYSTEM,539 EAST PRUDHOMME STREET,OPELOUSAS,LA,70570,ST. LANDRY,(337) 948-3011,Acute Care Hospitals,Government - Hospital District or Authority
+20917,MEDICAL CENTER BARBOUR,820 W WASHINGTON ST,EUFAULA,AL,36027,BARBOUR,(334) 688-7271,Acute Care Hospitals,Government - Hospital District or Authority
+29166,HARRIS HEALTH SYSTEM,2525 HOLLY HALL,HOUSTON,TX,77054,HARRIS,(713) 566-6417,Acute Care Hospitals,Government - Hospital District or Authority
+91275,PRISMA HEALTH BAPTIST EASLEY HOSPITAL,200 FLEETWOOD DRIVE,EASLEY,SC,29640,PICKENS,(864) 442-7606,Acute Care Hospitals,Voluntary non-profit - Private
+15768,MEDICINE LODGE MEMORIAL HOSPITAL,710 N WALNUT STREET,MEDICINE LODGE,KS,67104,BARBER,(620) 886-3771,Critical Access Hospitals,Government - Hospital District or Authority
+59445,LALLIE KEMP MEDICAL CENTER,52579 HIGHWAY 51 SOUTH,INDEPENDENCE,LA,70443,TANGIPAHOA,(985) 878-9421,Critical Access Hospitals,Government - State
+66944,CHI HEALTH IMMANUEL,6901 NORTH 72ND ST,OMAHA,NE,68122,DOUGLAS,(402) 572-2121,Acute Care Hospitals,Voluntary non-profit - Private
+11197,"SIERRA VISTA HOSPITAL, INC",8001 BRUCEVILLE ROAD,SACRAMENTO,CA,95823,SACRAMENTO,(916) 423-2000,Psychiatric,Proprietary
+75858,WINDOM AREA HEALTH,"2150 HOSPITAL DRIVE, PO BOX 339",WINDOM,MN,56101,COTTONWOOD,(507) 831-2400,Critical Access Hospitals,Government - Local
+17233,CAVALIER COUNTY MEMORIAL HOSPITAL ASSOCIATION,909 2ND ST,LANGDON,ND,58249,CAVALIER,(701) 256-6100,Critical Access Hospitals,Voluntary non-profit - Private
+81438,MEMORIAL HOSPITAL,1110 NORTH SARAH DEWITT DRIVE,GONZALES,TX,78629,GONZALES,(830) 672-7581,Acute Care Hospitals,Government - Hospital District or Authority
+86971,MISSION HOSPITAL MCDOWELL,430 RANKIN DRIVE P O BOX 730,MARION,NC,28752,MC DOWELL,(828) 659-5000,Acute Care Hospitals,Voluntary non-profit - Private
+46584,PARKVIEW LAGRANGE HOSPITAL,207 N TOWNLINE RD,LAGRANGE,IN,46761,LAGRANGE,(260) 463-9000,Critical Access Hospitals,Voluntary non-profit - Private
+53737,"ASOCIACION HOSPITAL DEL MAESTRO, INC",SERGIO CUEVAS BUSTAMANTE STREET 550,SAN JUAN,PR,936,SAN JUAN,(787) 758-6420,Acute Care Hospitals,Voluntary non-profit - Other
+25359,DESOTO REGIONAL HEALTH SYSTEM,207 JEFFERSON STREET,MANSFIELD,LA,71052,DE SOTO,(318) 872-4610,Acute Care Hospitals,Voluntary non-profit - Private
+77555,HAMILTON MEMORIAL HOSPITAL DISTRICT,611 S MARSHALL AVENUE,MCLEANSBORO,IL,62859,HAMILTON,(618) 643-2361,Critical Access Hospitals,Government - Hospital District or Authority
+48212,NH Twenty Nine Palms,1145 Sturgis Road,Twentynine Palms,CA,92278,SAN BERNARDINO,(760) 830-2190,Acute Care - Department of Defense,Department of Defense
+74515,PHOEBE SUMTER MEDICAL CENTER,126 HIGHWAY 280 W,AMERICUS,GA,31719,SUMTER,(229) 931-1280,Acute Care Hospitals,Government - Hospital District or Authority
+44542,PROVIDENCE HOOD RIVER MEMORIAL HOSPITAL,810 12TH STREET,HOOD RIVER,OR,97031,HOOD RIVER,(541) 386-3911,Critical Access Hospitals,Voluntary non-profit - Church
+54192,MERCYONE DES MOINES MEDICAL CENTER,1111 6TH AVE,DES MOINES,IA,50314,POLK,(515) 247-3121,Acute Care Hospitals,Voluntary non-profit - Private
+17735,GREENE MEMORIAL HOSPITAL,1141 NORTH MONROE DRIVE,XENIA,OH,45385,GREENE,(937) 352-2000,Acute Care Hospitals,Voluntary non-profit - Private
+60232,SAINT THOMAS MIDTOWN HOSPITAL,2000 CHURCH ST,NASHVILLE,TN,37236,DAVIDSON,(615) 284-5555,Acute Care Hospitals,Voluntary non-profit - Private
+87644,NEW LONDON HOSPITAL,273 COUNTY ROAD,NEW LONDON,NH,3257,MERRIMACK,(603) 526-2911,Critical Access Hospitals,Voluntary non-profit - Private
+85531,WEST FELICIANA PARISH HOSPITAL,"5266 COMMERCE STREET, BUILDING B",SAINT FRANCISVILLE,LA,70775,WEST FELICIANA,(225) 635-3811,Critical Access Hospitals,Government - Hospital District or Authority
+21966,SKY RIDGE MEDICAL CENTER,10101 RIDGEGATE PARKWAY,LONE TREE,CO,80124,DOUGLAS,(720) 225-1000,Acute Care Hospitals,Voluntary non-profit - Other
+19107,UT HEALTH EAST TEXAS TYLER REGIONAL HOSPITAL,1000 SOUTH BECKHAM AVE,TYLER,TX,75701,SMITH,(903) 597-0351,Acute Care Hospitals,Voluntary non-profit - Private
+81347,WILLIAMSBURG REGIONAL HOSPITAL,500 NELSON BOULEVARD,KINGSTREE,SC,29556,WILLIAMSBURG,(843) 355-8888,Critical Access Hospitals,Voluntary non-profit - Private
+77374,MARSHALL COUNTY HOSPITAL,615 OLD SYMSONIA ROAD,BENTON,KY,42025,MARSHALL,(270) 527-4800,Critical Access Hospitals,Government - Hospital District or Authority
+43004,ANGEL MEDICAL CENTER,120 RIVERVIEW ST PO BOX 1209,FRANKLIN,NC,28734,MACON,(828) 524-8411,Critical Access Hospitals,Voluntary non-profit - Private
+85311,SETON SHOAL CREEK HOSPITAL,3501 MILLS AVE,AUSTIN,TX,78731,TRAVIS,(512) 324-2000,Psychiatric,Voluntary non-profit - Private
+83675,PORT ST LUCIE HOSPITAL,2550 SE WALTON RD,PORT SAINT LUCIE,FL,34952,ST. LUCIE,(772) 335-0400,Psychiatric,Proprietary
+86323,HOLY FAMILY HOSPITAL,70 EAST STREET,METHUEN,MA,1844,ESSEX,(978) 687-0156,Acute Care Hospitals,Proprietary
+24571,MEMORIAL HOSPITAL OF GARDENA,1145 W REDONDO BEACH BLVD,GARDENA,CA,90247,LOS ANGELES,(310) 532-4200,Acute Care Hospitals,Proprietary
+57953,SHARP MESA VISTA HOSPITAL,7850 VISTA HILL AVENUE,SAN DIEGO,CA,92123,SAN DIEGO,(858) 278-4110,Psychiatric,Voluntary non-profit - Private
+56718,CHRISTUS GOOD SHEPHERD MEDICAL CENTER,700 E MARSHALL AVE,LONGVIEW,TX,75601,GREGG,(903) 927-6712,Acute Care Hospitals,Voluntary non-profit - Private
+28943,BON SECOURS RICHMOND COMMUNITY HOSPITAL,1500 N. 28TH STREET,RICHMOND,VA,23223,RICHMOND CITY,(804) 225-1700,Acute Care Hospitals,Voluntary non-profit - Private
+63495,YORK GENERAL HOSPITAL,2222 LINCOLN AVE,YORK,NE,68467,YORK,(402) 362-6671,Critical Access Hospitals,Voluntary non-profit - Private
+53010,MORRISTOWN MEDICAL CENTER,100 MADISON AVE,MORRISTOWN,NJ,7960,MORRIS,(973) 971-5000,Acute Care Hospitals,Voluntary non-profit - Private
+43155,GARFIELD COUNTY HEALTH CENTER,332 LEAVITT AVE,JORDAN,MT,59337,GARFIELD,(406) 557-2500,Critical Access Hospitals,Government - Local
+37700,"GRANT-BLACKFORD MENTAL HEALTH, INC",505 WABASH AVE,MARION,IN,46952,GRANT,(765) 662-3971,Psychiatric,Voluntary non-profit - Private
+92862,JACKSON HEALTHCARE CENTER,1013 S WELLS,EDNA,TX,77957,JACKSON,(361) 782-7800,Critical Access Hospitals,Government - Hospital District or Authority
+17621,SABETHA COMMUNITY HOSPITAL,14TH & OREGON,SABETHA,KS,66534,NEMAHA,(785) 284-2121,Critical Access Hospitals,Voluntary non-profit - Private
+17222,SAINT MARY'S REGIONAL MEDICAL CENTER,235 W 6TH ST,RENO,NV,89503,WASHOE,(775) 770-3000,Acute Care Hospitals,Voluntary non-profit - Private
+92780,GEORGE C GRAPE COMMUNITY HOSPITAL,2959 US HIGHWAY 275,HAMBURG,IA,51640,FREMONT,(712) 382-1515,Critical Access Hospitals,Proprietary
+20726,THE HOSPITALS OF PROVIDENCE MEMORIAL CAMPUS,2001 N OREGON ST,EL PASO,TX,79902,EL PASO,(915) 577-6011,Acute Care Hospitals,Proprietary
+90311,NIX HEALTH CARE SYSTEM,"414 NAVARRO, SUITE 600",SAN ANTONIO,TX,78205,BEXAR,(210) 271-2188,Acute Care Hospitals,Proprietary
+85970,HOSPITAL PSIQUIATRICO METROPOLITANO CABO ROJO,108 MUNOZ RIVERA STREET,BO BALLAJA,PR,623,CABO ROJO,(787) 851-2025,Psychiatric,Proprietary
+49355,HIGHLAND COMMUNITY  HOSPITAL,130 HIGHLAND PKWY,PICAYUNE,MS,39466,PEARL RIVER,(601) 358-9400,Acute Care Hospitals,Government - Hospital District or Authority
+37426,ALLEGIANCE HEALTH CENTER OF MONROE,"3421 MEDICAL PARK DRIVE,",MONROE,LA,71203,OUACHITA,(318) 966-4686,Psychiatric,Proprietary
+75357,SAINT ANTHONY HOSPITAL,2875 WEST 19TH STREET,CHICAGO,IL,60623,COOK,(773) 521-1710,Acute Care Hospitals,Voluntary non-profit - Private
+67352,MEADOWVIEW REGIONAL MEDICAL CENTER,989 MEDICAL PARK DRIVE,MAYSVILLE,KY,41056,MASON,(606) 759-5311,Acute Care Hospitals,Proprietary
+38720,ST JOSEPH'S HOSPITAL,555 ST JOSEPH'S BLVD,ELMIRA,NY,14901,CHEMUNG,(607) 733-6541,Acute Care Hospitals,Voluntary non-profit - Private
+22477,OUR COMMUNITY HOSPITAL,921 JUNIOR HIGH ROAD,SCOTLAND NECK,NC,27874,HALIFAX,(252) 826-4144,Critical Access Hospitals,Voluntary non-profit - Private
+20535,ST MARY MEDICAL CENTER,LANGHORNE-NEWTOWN RD,LANGHORNE,PA,19047,BUCKS,(215) 750-2003,Acute Care Hospitals,Voluntary non-profit - Private
+44728,REDLANDS COMMUNITY HOSPITAL,350 TERRACINA BLVD,REDLANDS,CA,92373,SAN BERNARDINO,(909) 335-5500,Acute Care Hospitals,Voluntary non-profit - Private
+81709,ROBERT PACKER HOSPITAL,ONE GUTHRIE SQUARE,SAYRE,PA,18840,BRADFORD,(570) 888-6666,Acute Care Hospitals,Voluntary non-profit - Private
+70160,KANSAS SURGERY & RECOVERY CENTER,2770 NORTH WEBB ROAD,WICHITA,KS,67226,SEDGWICK,(316) 634-0090,Acute Care Hospitals,Physician
+36795,BEDFORD MEMORIAL HOSPITAL,1613 OAKWOOD STREET,BEDFORD,VA,24523,BEDFORD,(434) 200-6366,Acute Care Hospitals,Voluntary non-profit - Private
+15959,WILLS MEMORIAL HOSPITAL,120 GORDON STREET,WASHINGTON,GA,30673,WILKES,(706) 678-9212,Critical Access Hospitals,Government - Hospital District or Authority
+85679,SEASIDE HEALTH SYSTEM,4363 CONVENTION STREET,BATON ROUGE,LA,70806,E. BATON ROUGE,(225) 522-4076,Psychiatric,Government - Federal
+86330,STRAUB CLINIC AND HOSPITAL,888 SO KING STREET,HONOLULU,HI,96813,HONOLULU,(808) 522-4000,Acute Care Hospitals,Proprietary
+64454,KOHALA HOSPITAL,54-383 HOSPITAL ROAD,KAPAAU,HI,96755,HAWAII,(808) 889-6211,Critical Access Hospitals,Government - State
+61681,LOMA LINDA UNIVERSITY MEDICAL CENTER-MURRIETA,28062 BAXTER ROAD,MURRIETA,CA,92563,RIVERSIDE,(951) 290-4000,Acute Care Hospitals,Voluntary non-profit - Private
+61552,MAYO CLINIC HOSPITAL,5777 EAST MAYO BOULEVARD,PHOENIX,AZ,85054,MARICOPA,(480) 342-4201,Acute Care Hospitals,Voluntary non-profit - Private
+51376,SCOTT & WHITE HOSPITAL BRENHAM,700 MEDICAL PARKWAY,BRENHAM,TX,77833,WASHINGTON,(979) 836-6173,Acute Care Hospitals,Voluntary non-profit - Private
+54082,FORT HAMILTON HUGHES MEMORIAL HOSPITAL,630 EATON AVENUE,HAMILTON,OH,45013,BUTLER,(513) 867-2000,Acute Care Hospitals,Voluntary non-profit - Private
+42577,UNIVERSITY OF CALIFORNIA DAVIS MEDICAL CENTER,2315 STOCKTON BOULEVARD,SACRAMENTO,CA,95817,SACRAMENTO,(916) 734-2011,Acute Care Hospitals,Voluntary non-profit - Other
+53375,BLAKE MEDICAL CENTER,2020 59TH ST W,BRADENTON,FL,34209,MANATEE,(941) 792-6611,Acute Care Hospitals,Proprietary
+54627,SOUTH MISSISSIPPI STATE HOSPITAL,823 HIGHWAY 589,PURVIS,MS,39475,LAMAR,(601) 794-0100,Psychiatric,Government - State
+20839,NOVANT HEALTH UVA HEALTH SYSTEM CULPEPER MED CENTE,501 SUNSET LANE,CULPEPER,VA,22701,CULPEPER,(540) 829-4100,Acute Care Hospitals,Voluntary non-profit - Other
+52231,SAINT JOSEPH REGIONAL MEDICAL CENTER,5215 HOLY CROSS PKWY,MISHAWAKA,IN,46545,ST. JOSEPH,(574) 335-5000,Acute Care Hospitals,Voluntary non-profit - Private
+36773,LEWISGALE MEDICAL CENTER,1900 ELECTRIC ROAD,SALEM,VA,24153,SALEM CITY,(540) 776-4000,Acute Care Hospitals,Voluntary non-profit - Private
+25320,MILBANK AREA HOSPITAL/AVERA HEALTH,301 FLYNN DRIVE,MILBANK,SD,57252,GRANT,(605) 432-4538,Critical Access Hospitals,Voluntary non-profit - Private
+91860,JORDAN VALLEY MEDICAL CENTER,3580 WEST 9000 SOUTH,WEST JORDAN,UT,84088,SALT LAKE,(801) 561-8888,Acute Care Hospitals,Voluntary non-profit - Other
+91980,PALESTINE REGIONAL MEDICAL CENTER,2900 S LOOP 256,PALESTINE,TX,75801,ANDERSON,(903) 731-1000,Acute Care Hospitals,Proprietary
+28664,LAKES REGION GENERAL HOSPITAL,80 HIGHLAND ST,LACONIA,NH,3246,BELKNAP,(603) 524-3211,Acute Care Hospitals,Voluntary non-profit - Private
+72718,FERRY COUNTY MEMORIAL HOSPITAL,36 KLONDIKE ROAD,REPUBLIC,WA,99166,FERRY,(509) 775-3333,Critical Access Hospitals,Government - Hospital District or Authority
+89428,HARTFORD HOSPITAL,80 SEYMOUR STREET,HARTFORD,CT,6102,HARTFORD,(860) 545-5000,Acute Care Hospitals,Voluntary non-profit - Private
+41975,LAKELAND HOSPITAL WATERVLIET,400 MEDICAL PARK DR,WATERVLIET,MI,49098,BERRIEN,(269) 463-3111,Acute Care Hospitals,Voluntary non-profit - Private
+47353,VIDANT DUPLIN  HOSPITAL,401 N MAIN ST,KENANSVILLE,NC,28349,DUPLIN,(910) 296-0941,Acute Care Hospitals,Government - Local
+53386,ST LOUIS PSYCHIATRIC REHAB CENTER,5400 ARSENAL ST,SAINT LOUIS,MO,63139,ST. LOUIS,(314) 644-8000,Psychiatric,Government - State
+16127,"ARBOUR HOSPITAL, THE",49 ROBINWOOD AVENUE,BOSTON,MA,2130,SUFFOLK,(617) 522-4400,Psychiatric,Proprietary
+56400,KAISER PERMANENTE PSYCHIATRIC HEALTH FACILITY-SANT,3840 HOMESTEAD ROAD,SANTA CLARA,CA,95051,SANTA CLARA,(408) 851-4850,Psychiatric,Proprietary
+57795,MISSION REGIONAL MEDICAL CENTER,900 SOUTH BRYAN ROAD,MISSION,TX,78572,HIDALGO,(956) 323-9000,Acute Care Hospitals,Voluntary non-profit - Private
+52517,ST JAMES MERCY HOSPITAL,411 CANISTEO STREET,HORNELL,NY,14843,STEUBEN,(607) 324-8000,Acute Care Hospitals,Voluntary non-profit - Church
+34794,HERITAGE OAKS HOSPITAL,4250 AUBURN BLVD,SACRAMENTO,CA,95841,SACRAMENTO,(916) 489-3336,Psychiatric,Proprietary
+43176,COVINGTON COUNTY HOSPITAL CAH,701 SOUTH HOLLY AVENUE,COLLINS,MS,39428,COVINGTON,(601) 765-6711,Critical Access Hospitals,Government - Local
+80044,THE BURDETT CARE CENTER,2215 BURDETT AVE,TROY,NY,12180,RENSSELAER,(518) 271-3655,Acute Care Hospitals,Voluntary non-profit - Private
+63885,HUTCHINSON HEALTH,1095 HIGHWAY 15 SOUTH,HUTCHINSON,MN,55350,MC LEOD,(320) 234-5000,Acute Care Hospitals,Voluntary non-profit - Private
+79396,CHRISTUS SPOHN HOSPITAL ALICE,2500 E MAIN STREET,ALICE,TX,78332,JIM WELLS,(361) 661-8016,Acute Care Hospitals,Voluntary non-profit - Private
+45580,"KAISER FOUNDATION HOSPITAL, RIVERSIDE",10800 MAGNOLIA AVENUE,RIVERSIDE,CA,92505,RIVERSIDE,(951) 353-2000,Acute Care Hospitals,Voluntary non-profit - Other
+93869,CHENANGO MEMORIAL HOSPITAL,179 NORTH BROAD STREET,NORWICH,NY,13815,CHENANGO,(607) 337-4111,Acute Care Hospitals,Voluntary non-profit - Private
+93631,NORTHCOAST BEHAVIORAL HEALTHCARE NORTHFIELD CAMPUS,1756 SAGAMORE ROAD,NORTHFIELD,OH,44067,SUMMIT,(330) 467-7131,Psychiatric,Government - State
+51395,RUSK STATE HOSP,805 N DICKINSON DR,RUSK,TX,75785,CHEROKEE,(903) 683-3421,Psychiatric,Government - State
+80698,CLARK REGIONAL MEDICAL CENTER,175 HOSPITAL DRIVE,WINCHESTER,KY,40391,CLARK,(859) 737-8559,Acute Care Hospitals,Proprietary
+69279,SARAH D CULBERTSON MEMORIAL HOSPITAL,238 SOUTH CONGRESS STREET,RUSHVILLE,IL,62681,SCHUYLER,(217) 322-4321,Critical Access Hospitals,Government - Hospital District or Authority
+12263,ADVENTHEALTH TAMPA,3100 E FLETCHER AVE,TAMPA,FL,33613,HILLSBOROUGH,(813) 615-7200,Acute Care Hospitals,Voluntary non-profit - Private
+81693,SEYMOUR HOSPITAL,200 STADIUM DRIVE,SEYMOUR,TX,76380,BAYLOR,(940) 889-5572,Acute Care Hospitals,Government - Hospital District or Authority
+77853,OCHSNER MEDICAL CENTER-KENNER,180 WEST ESPLANADE AVENUE,KENNER,LA,70065,JEFFERSON,(504) 468-4806,Acute Care Hospitals,Voluntary non-profit - Private
+94349,SOUTHERN CALIFORNIA HOSPITAL AT HOLLYWOOD,6245 DE LONGPRE AVE,HOLLYWOOD,CA,90028,LOS ANGELES,(323) 462-2271,Acute Care Hospitals,Proprietary
+71473,BUTLER MEMORIAL HOSPITAL,ONE HOSPITAL WAY,BUTLER,PA,16001,BUTLER,(724) 283-6666,Acute Care Hospitals,Voluntary non-profit - Private
+19068,LEVI HOSPITAL,300 PROSPECT AVE,HOT SPRINGS,AR,71901,GARLAND,(501) 624-1281,Acute Care Hospitals,Voluntary non-profit - Private
+30387,KEARNEY REGIONAL MEDICAL CENTER,804 22ND AVENUE,KEARNEY,NE,68845,BUFFALO,(308) 455-3600,Acute Care Hospitals,Proprietary
+16328,SANFORD BAGLEY MEDICAL CENTER,203 4TH STREET NORTHWEST,BAGLEY,MN,56621,CLEARWATER,(218) 694-6501,Critical Access Hospitals,Voluntary non-profit - Private
+35632,SIOUX CENTER HEALTH,1101 9TH STREET SE,SIOUX CENTER,IA,51250,SIOUX,(712) 722-1271,Critical Access Hospitals,Voluntary non-profit - Private
+16193,LAKE BEHAVIORAL HOSPITAL,2615 W WASHINGTON ST,WAUKEGAN,IL,60085,LAKE,(847) 249-3900,Acute Care Hospitals,Proprietary
+75243,PENN HIGHLANDS ELK,763 JOHNSONBURG ROAD,SAINT MARYS,PA,15857,ELK,(814) 788-8000,Critical Access Hospitals,Voluntary non-profit - Private
+62363,EASTERN MAINE MEDICAL CENTER,PO BOX 404,BANGOR,ME,4401,PENOBSCOT,(207) 973-7000,Acute Care Hospitals,Voluntary non-profit - Private
+22007,MASSACHUSETTS GENERAL HOSPITAL,55 FRUIT STREET,BOSTON,MA,2114,SUFFOLK,(617) 726-2000,Acute Care Hospitals,Voluntary non-profit - Private
+16572,SWEETWATER HOSPITAL ASSOCIATION,304 WRIGHT ST,SWEETWATER,TN,37874,MONROE,(865) 213-8200,Acute Care Hospitals,Voluntary non-profit - Private
+63640,PIEDMONT COLUMBUS REGIONAL NORTHSIDE,100 FRIST COURT,COLUMBUS,GA,31909,MUSCOGEE,(706) 494-2101,Acute Care Hospitals,Proprietary
+75207,RESNICK NEUROPSYCHIATRIC HOSPITAL AT UCLA,150 MEDICAL PLAZA-RM-4230C,LOS ANGELES,CA,90095,LOS ANGELES,(310) 825-6962,Psychiatric,Government - State
+49935,ALBANY MEMORIAL HOSPITAL,600 NORTHERN BOULEVARD,ALBANY,NY,12204,ALBANY,(518) 471-3490,Acute Care Hospitals,Voluntary non-profit - Private
+68566,VALLEY HOSPITAL,3550 EAST PINCHOT AVENUE,PHOENIX,AZ,85018,MARICOPA,(602) 957-4000,Psychiatric,Voluntary non-profit - Other
+47056,INOVA ALEXANDRIA HOSPITAL,4320 SEMINARY RD,ALEXANDRIA,VA,22304,ALEXANDRIA CITY,(703) 504-3167,Acute Care Hospitals,Voluntary non-profit - Private
+77839,ADVENTIST HEALTH BAKERSFIELD,2615 CHESTER AVENUE,BAKERSFIELD,CA,93301,KERN,(661) 395-3000,Acute Care Hospitals,Voluntary non-profit - Private
+83971,MORRISTOWN HAMBLEN HOSPITAL ASSOCIATION,908 W 4TH NORTH ST,MORRISTOWN,TN,37814,HAMBLEN,(423) 586-4231,Acute Care Hospitals,Government - Local
+47797,RIDGEVIEW MEDICAL CENTER,500 SOUTH MAPLE STREET,WACONIA,MN,55387,CARVER,(952) 442-2191,Acute Care Hospitals,Voluntary non-profit - Private
+14957,PROVIDENCE KODIAK ISLAND MEDICAL CTR,1915 EAST REZANOF DRIVE,KODIAK,AK,99615,KODIAK ISLAND BOROUGH,(907) 486-9592,Critical Access Hospitals,Voluntary non-profit - Church
+23710,SILVER HILL HOSPITAL INC,208 VALLEY ROAD,NEW CANAAN,CT,6840,FAIRFIELD,(203) 966-3561,Psychiatric,Government - Federal
+45180,STARKE HOSPITAL,102 E CULVER RD,KNOX,IN,46534,STARKE,(574) 772-1102,Acute Care Hospitals,Proprietary
+22357,FLOYD MEDICAL CENTER,304 TURNER MCCALL BLVD P O BOX 233,ROME,GA,30162,FLOYD,(706) 509-6900,Acute Care Hospitals,Government - Hospital District or Authority
+23942,"MEMORIAL HOSPITAL, THE",750 HOSPITAL LOOP,CRAIG,CO,81625,MOFFAT,(970) 824-9411,Critical Access Hospitals,Government - Local
+79603,BON SECOURS-ST FRANCIS XAVIER HOSPITAL,2095 HENRY TECKLENBURG DRIVE,CHARLESTON,SC,29414,CHARLESTON,(843) 402-1006,Acute Care Hospitals,Voluntary non-profit - Private
+61482,JOHNSON COUNTY HOSPITAL,202 HIGH ST,TECUMSEH,NE,68450,JOHNSON,(402) 335-3361,Critical Access Hospitals,Government - Local
+71103,MERCY CATHOLIC MEDICAL CENTER- MERCY FITZGERALD,1500 LANSDOWNE  AVE,DARBY,PA,19023,DELAWARE,(215) 237-4000,Acute Care Hospitals,Voluntary non-profit - Private
+20503,UNIVERSITY OF MISSISSIPPI MEDICAL CENTER- GRENADA,960 AVENT DRIVE,GRENADA,MS,38901,GRENADA,(662) 227-7000,Acute Care Hospitals,Government - State
+94953,LAKE CHARLES MEMORIAL HOSPITAL,1701 OAK PARK BLVD,LAKE CHARLES,LA,70601,CALCASIEU,(337) 494-3000,Acute Care Hospitals,Voluntary non-profit - Private
+21104,COMMUNITY MEDICAL CENTER,99 RT 37 WEST,TOMS RIVER,NJ,8755,OCEAN,(732) 557-8000,Acute Care Hospitals,Voluntary non-profit - Private
+30412,TRINITY HOSPITAL,60 EASTER AVENUE,WEAVERVILLE,CA,96093,TRINITY,(530) 623-5541,Critical Access Hospitals,Government - Hospital District or Authority
+17122,SOUTHWEST GENERAL HOSPITAL,7400 BARLITE BLVD,SAN ANTONIO,TX,78224,BEXAR,(210) 921-2000,Acute Care Hospitals,Physician
+12941,LOS ROBLES HOSPITAL & MEDICAL CENTER,215 W JANSS RD,THOUSAND OAKS,CA,91360,VENTURA,(805) 497-2727,Acute Care Hospitals,Proprietary
+38862,RUSSELL COUNTY HOSPITAL,58 CARROLL STREET,LEBANON,VA,24266,RUSSELL,(276) 883-8100,Acute Care Hospitals,Voluntary non-profit - Private
+45736,BATES COUNTY MEMORIAL HOSPITAL,615 W NURSERY ST,BUTLER,MO,64730,BATES,(660) 200-7000,Acute Care Hospitals,Government - Local
+19028,ASCENSION ST CLARES HOSPITAL,3400 MINISTRY PARKWAY,WESTON,WI,54476,MARATHON,(715) 393-3000,Acute Care Hospitals,Voluntary non-profit - Private
+59901,NORTH FLORIDA REGIONAL MEDICAL CENTER,6500 NEWBERRY RD,GAINESVILLE,FL,32605,ALACHUA,(352) 333-4100,Acute Care Hospitals,Proprietary
+41812,PENN HIGHLANDS CLEARFIELD,809 TURNPIKE AVE,CLEARFIELD,PA,16830,CLEARFIELD,(814) 768-2497,Acute Care Hospitals,Voluntary non-profit - Other
+10903,JACKSON PARK HOSPITAL,7531 S STONY ISLAND AVE,CHICAGO,IL,60649,COOK,(773) 947-7500,Acute Care Hospitals,Voluntary non-profit - Private
+91929,ST JOHNS REGIONAL MEDICAL CENTER,1600 N ROSE AVE,OXNARD,CA,93030,VENTURA,(805) 988-2500,Acute Care Hospitals,Voluntary non-profit - Private
+51574,BANNER - UNIVERSITY MEDICAL CENTER PHOENIX,1111 EAST MCDOWELL ROAD,PHOENIX,AZ,85006,MARICOPA,(602) 239-2000,Acute Care Hospitals,Voluntary non-profit - Other
+32028,RJ BLACKLEY ALCOHOL AND DRUG ABUSE TREATMENT CTR,"BLDG 29, 30 BARRETT BLDG, 100 H STREET",BUTNER,NC,27509,GRANVILLE,(919) 575-7240,Psychiatric,Government - State
+44407,FRANCISCAN HEALTH CRAWFORDSVILLE,1710 LAFAYETTE RD,CRAWFORDSVILLE,IN,47933,MONTGOMERY,(765) 362-2800,Acute Care Hospitals,Voluntary non-profit - Church
+94783,SABINE COUNTY HOSPITAL,"PO BOX 750, 2301 HWY 83 W",HEMPHILL,TX,75948,SABINE,(409) 787-3300,Critical Access Hospitals,Proprietary
+71743,SPECTRUM HEALTH LUDINGTON HOSPITAL,ONE N ATKINSON DRIVE,LUDINGTON,MI,49431,MASON,(231) 843-2591,Acute Care Hospitals,Voluntary non-profit - Private
+51990,Martin ACH (FT Benning),7950 Martin Loop,Fort Benning,GA,31905,CHATTAHOOCHEE,(762) 408-2604,Acute Care - Department of Defense,Department of Defense
+64689,MARCUS DALY MEMORIAL HOSPITAL - CAH,1200 WESTWOOD DR,HAMILTON,MT,59840,RAVALLI,(406) 375-4408,Critical Access Hospitals,Voluntary non-profit - Private
+94966,NEMOURS CHILDREN'S HOSPITAL,13535 NEMOURS PKWY,ORLANDO,FL,32827,ORANGE,(407) 567-4000,Childrens,Voluntary non-profit - Private
+11130,FALMOUTH HOSPITAL,67 & 100 TER HEUN DRIVE,FALMOUTH,MA,2540,BARNSTABLE,(508) 548-5300,Acute Care Hospitals,Voluntary non-profit - Private
+12521,HOSPITAL SAN CARLOS BORROMEO,CALLE CONCEPCION VERA AYALA #550 S,MOCA,PR,676,MOCA,(787) 877-8000,Acute Care Hospitals,Voluntary non-profit - Private
+13298,COMMUNITY BEHAVIORAL HEALTH HOSPITAL - BAXTER,14241 GRAND OAKS DRIVE,BAXTER,MN,56425,CROW WING,(218) 316-3101,Psychiatric,Government - State
+82862,ST JOSEPH HOSPITAL,4295 HEMPSTEAD TURNPIKE,BETHPAGE,NY,11714,NASSAU,(516) 579-6000,Acute Care Hospitals,Voluntary non-profit - Private
+74441,MERIT HEALTH CENTRAL,1850 CHADWICK DR,JACKSON,MS,39204,HINDS,(601) 376-1000,Acute Care Hospitals,Proprietary
+51177,COVENANT HOSPITAL LEVELLAND,1900 COLLEGE AVE,LEVELLAND,TX,79336,HOCKLEY,(806) 894-4963,Acute Care Hospitals,Voluntary non-profit - Private
+83605,THE RIDGE BEHAVIORAL HEALTH SYSTEM,3050 RIO DOSA DRIVE,LEXINGTON,KY,40509,FAYETTE,(859) 269-2325,Psychiatric,Proprietary
+40590,MARIAN REGIONAL MEDICAL CENTER,1400 E CHURCH ST,SANTA MARIA,CA,93454,SANTA BARBARA,(805) 739-3100,Acute Care Hospitals,Voluntary non-profit - Church
+21478,ST VINCENT GENERAL HOSPITAL DISTRICT,822 W 4TH ST,LEADVILLE,CO,80461,LAKE,(719) 486-0230,Critical Access Hospitals,Government - Hospital District or Authority
+35768,SAINT THOMAS HOSPITAL FOR SPECIALTY SURGERY,2011 MURPHY AVENUE,NASHVILLE,TN,37203,DAVIDSON,(615) 515-8200,Acute Care Hospitals,Voluntary non-profit - Other
+21450,PATIENTS' HOSPITAL OF REDDING,2900 EUREKA WAY,REDDING,CA,96001,SHASTA,(530) 225-8700,Acute Care Hospitals,Physician
+89853,SUNNYVIEW HOSPITAL AND REHABILITATION CENTER,1270 BELMONT AVENUE,SCHENECTADY,NY,12308,SCHENECTADY,(518) 386-3580,Acute Care Hospitals,Voluntary non-profit - Private
+87822,MERCYONE OAKLAND MEDICAL CENTER,601 EAST SECOND ST,OAKLAND,NE,68045,BURT,(402) 685-5601,Critical Access Hospitals,Voluntary non-profit - Private
+88174,MERCY HEALTH SYSTEM CORP,1000 MINERAL POINT AVE,JANESVILLE,WI,53548,ROCK,(608) 756-6080,Acute Care Hospitals,Voluntary non-profit - Private
+75151,SOUTH BAY HOSPITAL,4016 SUN CITY CENTER BLVD,SUN CITY CENTER,FL,33573,HILLSBOROUGH,(813) 634-3301,Acute Care Hospitals,Proprietary
+79991,COVENANT CHILDRENS HOSPITAL,4015 22ND PLACE,LUBBOCK,TX,79410,LUBBOCK,(806) 725-7975,Childrens,Voluntary non-profit - Private
+66064,BARTON MEMORIAL HOSPITAL,2170 SOUTH AVENUE,SOUTH LAKE TAHOE,CA,96150,EL DORADO,(530) 541-3420,Acute Care Hospitals,Voluntary non-profit - Private
+61111,COASTAL HARBOR TREATMENT CENTER,1150 CORNELL AVE,SAVANNAH,GA,31406,CHATHAM,(912) 354-3911,Psychiatric,Proprietary
+31725,MEADOWWOOD BEHAVIORAL HEALTH SYSTEM,575 SOUTH DUPONT HIGHWAY,NEW CASTLE,DE,19720,NEW CASTLE,(302) 328-3330,Psychiatric,Proprietary
+83408,THE ORTHOPEDIC SPECIALTY HOSPITAL,5848 SOUTH 300 EAST,MURRAY,UT,84107,SALT LAKE,(801) 314-4100,Acute Care Hospitals,Voluntary non-profit - Private
+50943,SAINT THOMAS RIVER PARK HOSPITAL,1559 SPARTA STREET,MC MINNVILLE,TN,37110,WARREN,(931) 815-4101,Acute Care Hospitals,Voluntary non-profit - Private
+29470,BETHESDA HOSPITAL EAST,2815 S SEACREST BLVD,BOYNTON BEACH,FL,33435,PALM BEACH,(561) 737-7733,Acute Care Hospitals,Voluntary non-profit - Private
+65893,INDIANA UNIVERSITY HEALTH TIPTON HOSPITAL INC,1000 S MAIN ST,TIPTON,IN,46072,TIPTON,(765) 675-8500,Critical Access Hospitals,Voluntary non-profit - Other
+77112,SWEDISH ISSAQUAH,751 NE BLAKELY DR,ISSAQUAH,WA,98029,KING,(425) 313-4000,Acute Care Hospitals,Voluntary non-profit - Private
+93243,HARBORVIEW MEDICAL CENTER,325 9TH AVENUE,SEATTLE,WA,98104,KING,(206) 731-3000,Acute Care Hospitals,Government - Local
+38645,PRISMA HEALTH HILLCREST HOSPITAL,741 SOUTH EAST MAIN STREET,SIMPSONVILLE,SC,29681,GREENVILLE,(864) 454-6100,Acute Care Hospitals,Voluntary non-profit - Private
+41575,GEORGE REGIONAL HEALTH SYSTEM,859 WINTER STREET,LUCEDALE,MS,39452,GEORGE,(601) 947-3161,Acute Care Hospitals,Government - Local
+39316,HOLY CROSS HOSPITAL,1171 WEST TARGET RANGE ROAD,NOGALES,AZ,85621,SANTA CRUZ,(520) 285-3000,Critical Access Hospitals,Proprietary
+26513,OHIOHEALTH MANSFIELD HOSPITAL,335 GLESSNER AVENUE,MANSFIELD,OH,44903,RICHLAND,(419) 526-8000,Acute Care Hospitals,Voluntary non-profit - Private
+21797,MT. GRAHAM REGIONAL MEDICAL CENTER,1600 SOUTH 20TH AVENUE,SAFFORD,AZ,85546,GRAHAM,(928) 348-4000,Acute Care Hospitals,Government - Hospital District or Authority
+47924,ST CHARLES BEND,2500 NE NEFF ROAD,BEND,OR,97701,DESCHUTES,(541) 382-4321,Acute Care Hospitals,Voluntary non-profit - Private
+77020,NORTHSIDE HOSPITAL FORSYTH,1200 NORTHSIDE FORSYTH DRIVE,CUMMING,GA,30041,FORSYTH,(770) 844-3200,Acute Care Hospitals,Voluntary non-profit - Private
+72980,ENDLESS MOUNTAINS HEALTH SYSTEMS,100 HOSPITAL DRIVE,MONTROSE,PA,18801,SUSQUEHANNA,(570) 278-3801,Critical Access Hospitals,Voluntary non-profit - Private
+64416,MEDINA REGIONAL HOSPITAL,3100 AVENUE E,HONDO,TX,78861,MEDINA,(830) 426-7700,Critical Access Hospitals,Government - Hospital District or Authority
+64717,JENNIE M MELHAM MEMORIAL MEDICAL CENTER,145 MEMORIAL DRIVE,BROKEN BOW,NE,68822,CUSTER,(308) 872-4100,Critical Access Hospitals,Voluntary non-profit - Private
+31859,HIGHLANDS HOSPITAL,401 EAST MURPHY AVENUE,CONNELLSVILLE,PA,15425,FAYETTE,(724) 628-1500,Acute Care Hospitals,Voluntary non-profit - Private
+26710,HENDRICKS COMMUNITY HOSPITAL,503 E LINCOLN STREET,HENDRICKS,MN,56136,LINCOLN,(507) 275-3134,Critical Access Hospitals,Voluntary non-profit - Private
+16703,UNIVERSITY OF MISSISSIPPI MED CENTER,2500 N STATE ST,JACKSON,MS,39216,HINDS,(601) 984-4100,Acute Care Hospitals,Government - State
+87085,MITCHELL COUNTY HOSPITAL HEALTH SYSTEMS,"400 W 8TH STREET, P O BOX 399",BELOIT,KS,67420,MITCHELL,(785) 738-2266,Critical Access Hospitals,Government - Local
+62067,AUSTIN STATE HOSPITAL,4110 GUADALUPE,AUSTIN,TX,78751,TRAVIS,(512) 419-2100,Psychiatric,Government - State
+89725,REGIONAL HEALTH STURGIS HOSPITAL,2140 JUNCTION AVE,STURGIS,SD,57785,MEADE,(605) 720-2400,Critical Access Hospitals,Voluntary non-profit - Other
+14898,ST VINCENT WILLIAMSPORT HOSPITAL INC,412 N MONROE ST,WILLIAMSPORT,IN,47993,WARREN,(765) 762-4000,Critical Access Hospitals,Voluntary non-profit - Church
+16321,DENVER SPRINGS,8835 AMERICAN WAY,ENGLEWOOD,CO,80112,ARAPAHOE,(720) 643-4300,Psychiatric,Proprietary
+19892,BHC FAIRFAX HOSPITAL,10200 NE 132ND ST,KIRKLAND,WA,98034,KING,(425) 821-2000,Psychiatric,Proprietary
+84148,SAINT LUKE'S CUSHING HOSPITAL,711 MARSHALL STREET,LEAVENWORTH,KS,66048,LEAVENWORTH,(913) 684-1100,Acute Care Hospitals,Voluntary non-profit - Private
+52666,ELLSWORTH COUNTY MEDICAL CENTER,1604 AYLWARD AVENUE,ELLSWORTH,KS,67439,ELLSWORTH,(785) 472-3111,Critical Access Hospitals,Proprietary
+88183,LAKE HURON MEDICAL CENTER,2601 ELECTRIC AVENUE,PORT HURON,MI,48060,ST. CLAIR,(810) 985-1500,Acute Care Hospitals,Voluntary non-profit - Church
+39083,ELMORE COMMUNITY HOSPITAL,500 HOSPITAL DRIVE,WETUMPKA,AL,36092,ELMORE,(334) 567-4311,Acute Care Hospitals,Government - State
+54668,LAKEWOOD REGIONAL MEDICAL CENTER,3700 E SOUTH ST,LAKEWOOD,CA,90712,LOS ANGELES,(562) 602-6751,Acute Care Hospitals,Proprietary
+90033,CHILDRENS HOSPITAL OF WISCONSIN,9000 W WISCONSIN AVE,MILWAUKEE,WI,53226,MILWAUKEE,(414) 266-2000,Childrens,Voluntary non-profit - Other
+51096,FIRSTHEALTH MOORE REGIONAL HOSPITAL,155 MEMORIAL DRIVE,PINEHURST,NC,28374,MOORE,(910) 715-1000,Acute Care Hospitals,Voluntary non-profit - Private
+93349,CENTURA HEALTH-PORTER ADVENTIST HOSPITAL,2525 S DOWNING ST,DENVER,CO,80210,DENVER,(303) 778-1955,Acute Care Hospitals,Voluntary non-profit - Private
+55795,DESERT VALLEY HOSPITAL,16850 BEAR VALLEY RD,VICTORVILLE,CA,92395,SAN BERNARDINO,(760) 241-8000,Acute Care Hospitals,Proprietary
+61726,ADVENTHEALTH WAUCHULA,735 S 5TH AVE,WAUCHULA,FL,33873,HARDEE,(863) 773-0216,Critical Access Hospitals,Voluntary non-profit - Private
+33751,INTEGRIS SOUTHWEST MEDICAL CENTER,4401 SOUTH WESTERN AVENUE,OKLAHOMA CITY,OK,73109,OKLAHOMA,(405) 636-7000,Acute Care Hospitals,Voluntary non-profit - Private
+75432,"ASCENSION VIA CHRISTI HOSPITAL ST. TERESA, INC.",14800 WEST ST TERESA,WICHITA,KS,67235,SEDGWICK,(316) 796-7800,Acute Care Hospitals,Voluntary non-profit - Church
+62489,DUKE HEALTH RALEIGH HOSPITAL,3400 WAKE FOREST RD,RALEIGH,NC,27609,WAKE,(919) 954-3000,Acute Care Hospitals,Voluntary non-profit - Private
+53496,MONTCLAIR HOSPITAL MEDICAL CENTER,5000 SAN BERNARDINO ST,MONTCLAIR,CA,91763,SAN BERNARDINO,(909) 625-8300,Acute Care Hospitals,Voluntary non-profit - Private
+79824,MEMORIAL REGIONAL HOSPITAL,3501 JOHNSON ST,HOLLYWOOD,FL,33021,BROWARD,(954) 265-5814,Acute Care Hospitals,Government - Hospital District or Authority
+30355,FREEMAN HEALTH SYSTEM - FREEMAN WEST,1102 WEST 32ND STREET,JOPLIN,MO,64804,JASPER,(417) 347-1111,Acute Care Hospitals,Voluntary non-profit - Private
+45557,MERCY HEALTH - WILLARD HOSPITAL,1100 NEAL ZICK ROAD,WILLARD,OH,44890,HURON,(419) 964-5000,Critical Access Hospitals,Voluntary non-profit - Private
+73009,SAN LUIS VALLEY HEALTH,106 BLANCA AVE,ALAMOSA,CO,81101,ALAMOSA,(719) 589-2511,Acute Care Hospitals,Voluntary non-profit - Private
+36698,FRANCISCAN HEALTH CROWN POINT,1201 S MAIN ST,CROWN POINT,IN,46307,LAKE,(219) 757-6100,Acute Care Hospitals,Voluntary non-profit - Church
+22339,LAKELAND COMMUNITY HOSPITAL,42024 HIGHWAY 195 E,HALEYVILLE,AL,35565,WINSTON,(205) 485-7117,Acute Care Hospitals,Voluntary non-profit - Church
+11396,CHI HEALTH CREIGHTON UNIVERSITY MEDICAL CENTER - B,7500 MERCY RD,OMAHA,NE,68124,DOUGLAS,(402) 398-6060,Acute Care Hospitals,Voluntary non-profit - Private
+18303,ST LAWRENCE PSYCH CENTER,ONE CHIMNEY POINT DRIVE,OGDENSBURG,NY,13669,ST. LAWRENCE,(315) 541-2071,Psychiatric,Government - State
+64128,SYCAMORE SPRINGS HOSPITAL LLC,833 PARK EAST BLVD,LAFAYETTE,IN,47905,TIPPECANOE,(765) 743-4400,Psychiatric,Proprietary
+63826,RADY CHILDREN'S HOSPITAL - SAN DIEGO,3020 CHILDRENS WAY,SAN DIEGO,CA,92123,SAN DIEGO,(858) 576-1700,Childrens,Voluntary non-profit - Other
+83120,CENTRAL STATE HOSPITAL,10510 LAGRANGE ROAD,LOUISVILLE,KY,40223,JEFFERSON,(502) 253-7045,Psychiatric,Government - State
+82722,UPMC EAST,2775 MOSSIDE BOULEVARD,MONROEVILLE,PA,15146,ALLEGHENY,(412) 357-3000,Acute Care Hospitals,Voluntary non-profit - Private
+71065,SAINT THOMAS HICKMAN HOSPITAL,135 EAST SWAN STREET,CENTERVILLE,TN,37033,HICKMAN,(931) 729-4271,Critical Access Hospitals,Voluntary non-profit - Private
+63277,MERCY HEALTH LAKESHORE CAMPUS,72 SOUTH STATE STREET,SHELBY,MI,49455,OCEANA,(231) 861-2156,Critical Access Hospitals,Voluntary non-profit - Private
+85764,SETON MEDICAL CENTER HAYS,6001 KYLE PKWY,KYLE,TX,78640,HAYS,(512) 324-5000,Acute Care Hospitals,Voluntary non-profit - Private
+17820,FORT LAUDERDALE BEHAVIORAL HEALTH CENTER,5757 N DIXIE HWY,OAKLAND PARK,FL,33334,BROWARD,(954) 463-4321,Psychiatric,Proprietary
+86072,MERCY HEALTH-ANDERSON HOSPITAL,7500 STATE ROAD,CINCINNATI,OH,45255,HAMILTON,(513) 624-4006,Acute Care Hospitals,Voluntary non-profit - Private
+34073,VALLEY BEHAVIORAL HEALTH SYSTEM,10301 MAYO DRIVE,BARLING,AR,72923,SEBASTIAN,(479) 494-5700,Psychiatric,Voluntary non-profit - Other
+94382,BON SECOURS DEPAUL MEDICAL CENTER,150 KINGSLEY LANE,NORFOLK,VA,23505,NORFOLK CITY,(757) 889-5000,Acute Care Hospitals,Voluntary non-profit - Private
+84408,UNIONTOWN HOSPITAL,500 WEST BERKELEY STREET,UNIONTOWN,PA,15401,FAYETTE,(724) 430-5000,Acute Care Hospitals,Voluntary non-profit - Other
+64294,ANDALUSIA HEALTH,849 SOUTH THREE NOTCH STREET,ANDALUSIA,AL,36420,COVINGTON,(334) 222-8466,Acute Care Hospitals,Proprietary
+74825,MEMORIAL HEALTH UNIVERSITY MEDICAL CENTER,4700 WATERS AVENUE,SAVANNAH,GA,31404,CHATHAM,(912) 350-3691,Acute Care Hospitals,Voluntary non-profit - Other
+16376,IVINSON MEMORIAL HOSPITAL,255 N 30TH,LARAMIE,WY,82072,ALBANY,(307) 755-4600,Acute Care Hospitals,Government - Hospital District or Authority
+80422,LEGACY MOUNT HOOD MEDICAL CENTER,24800 SE STARK STREET,GRESHAM,OR,97030,MULTNOMAH,(503) 674-1122,Acute Care Hospitals,Voluntary non-profit - Private
+90140,TEXAS HEALTH HARRIS METHODIST HOSPITAL STEPHENVILL,411 N BELKNAP ST,STEPHENVILLE,TX,76401,ERATH,(254) 965-1500,Acute Care Hospitals,Voluntary non-profit - Private
+54470,PLAINS REGIONAL MEDICAL CENTER,"2100 N MARTIN LUTHER KING, JR, BLVD",CLOVIS,NM,88101,CURRY,(575) 769-7155,Acute Care Hospitals,Government - Federal
+46975,ADVENTHEALTH OCALA,1500 SW 1ST AVE,OCALA,FL,34474,MARION,(352) 351-7200,Acute Care Hospitals,Government - Hospital District or Authority
+44348,BAPTIST MEDICAL CENTER-ATTALA,220 HWY 12 WEST,KOSCIUSKO,MS,39090,ATTALA,(662) 289-4311,Critical Access Hospitals,Voluntary non-profit - Other
+60313,ST NICHOLAS HOSPITAL,3100 SUPERIOR AVE,SHEBOYGAN,WI,53081,SHEBOYGAN,(920) 459-8300,Acute Care Hospitals,Voluntary non-profit - Private
+85379,DICKENSON COMMUNITY HOSPITAL,312 HOSPITAL DRIVE,CLINTWOOD,VA,24228,DICKENSON,(276) 926-0300,Critical Access Hospitals,Voluntary non-profit - Private
+80935,CENTURA HEALTH-PENROSE-ST FRANCIS HEALTH SERVICES,2222 NORTH NEVADA AVE,COLORADO SPRINGS,CO,80907,EL PASO,(719) 776-5000,Acute Care Hospitals,Voluntary non-profit - Private
+64605,FULTON COUNTY HOSPITAL,679 NORTH MAIN STREET,SALEM,AR,72576,FULTON,(870) 895-2691,Critical Access Hospitals,Voluntary non-profit - Other
+41743,MESA VIEW REGIONAL HOSPITAL,1299 BERTHA HOWE AVENUE,MESQUITE,NV,89027,CLARK,(702) 346-8040,Critical Access Hospitals,Proprietary
+12163,MERCY HOSPITAL,500 E MARKET STREET,IOWA CITY,IA,52245,JOHNSON,(319) 339-0300,Acute Care Hospitals,Voluntary non-profit - Church
+20739,SURGEONS CHOICE MEDICAL CENTER,22401 FOSTER WINTER DRIVE,SOUTHFIELD,MI,48075,OAKLAND,(248) 423-5100,Acute Care Hospitals,Proprietary
+63227,MARSHFIELD MEDICAL CENTER - RICE LAKE,1700 WEST STOUT STREET,RICE LAKE,WI,54868,BARRON,(715) 234-1515,Acute Care Hospitals,Voluntary non-profit - Private
+19368,JENKINS COUNTY HOSPITAL,931 EAST WINTHROPE AVENUE,MILLEN,GA,30442,JENKINS,(478) 982-4221,Critical Access Hospitals,Proprietary
+39111,MADISON MEMORIAL HOSPITAL,450 EAST MAIN STREET,REXBURG,ID,83440,MADISON,(208) 359-6900,Acute Care Hospitals,Government - Local
+83636,SAN CARLOS APACHE HEALTHCARE,103 MEDICINE WAY ROAD,PERIDOT,AZ,85542,GILA,(928) 475-1200,Acute Care Hospitals,Government - Federal
+11147,CHRISTUS COUSHATTA HEALTH CARE CENTER,1635 MARVEL STREET,COUSHATTA,LA,71019,RED RIVER,(318) 932-2000,Critical Access Hospitals,Voluntary non-profit - Private
+25557,AVERA GREGORY HOSPITAL,400 PARK STREET  POST OFFICE BOX 408,GREGORY,SD,57533,GREGORY,(605) 835-8394,Critical Access Hospitals,Voluntary non-profit - Private
+31209,MIAMI COUNTY MEDICAL CENTER,2100 BAPTISTE DRIVE,PAOLA,KS,66071,MIAMI,(913) 557-4385,Acute Care Hospitals,Voluntary non-profit - Private
+70586,SHENANDOAH MEMORIAL HOSPITAL,759 SOUTH MAIN STREET,WOODSTOCK,VA,22664,SHENANDOAH,(540) 459-1100,Critical Access Hospitals,Voluntary non-profit - Private
+55819,ROCHELLE COMMUNITY HOSPITAL,900 N 2ND ST,ROCHELLE,IL,61068,OGLE,(815) 562-2181,Critical Access Hospitals,Voluntary non-profit - Private
+71888,SWEDISH MEDICAL CENTER,501 E HAMPDEN AVE,ENGLEWOOD,CO,80113,ARAPAHOE,(303) 788-5000,Acute Care Hospitals,Proprietary
+77492,RIVERVIEW REGIONAL MEDICAL CENTER,158 HOSPITAL DRIVE,CARTHAGE,TN,37030,SMITH,(615) 735-9815,Critical Access Hospitals,Proprietary
+55829,UNIVERSITY HOSPITAL,150 BERGEN ST,NEWARK,NJ,7101,ESSEX,(973) 972-5658,Acute Care Hospitals,Government - State
+21601,FORT WASHINGTON HOSPITAL,11711 LIVINGSTON ROAD,FORT WASHINGTON,MD,20744,PRINCE GEORGES,(301) 292-7000,Acute Care Hospitals,Voluntary non-profit - Other
+89993,YOAKUM COMMUNITY HOSPITAL,1200 CARL RAMERT DRIVE,YOAKUM,TX,77995,LAVACA,(361) 293-2321,Critical Access Hospitals,Voluntary non-profit - Private
+35293,SAN JUAN MUNICIPAL HOSPITAL,"BARRIO MONACILLOS,CENTRO MEDICO",RIO PIEDRAS,PR,936,SAN JUAN,(787) 756-8535,Acute Care Hospitals,Voluntary non-profit - Other
+36657,SARASOTA MEMORIAL HOSPITAL,1700 S TAMIAMI TRL,SARASOTA,FL,34239,SARASOTA,(941) 917-9000,Acute Care Hospitals,Government - Hospital District or Authority
+85648,"WESTFIELD MEMORIAL HOSPITAL, INC",189 EAST MAIN STREET,WESTFIELD,NY,14787,CHAUTAUQUA,(716) 326-4921,Acute Care Hospitals,Voluntary non-profit - Private
+73301,PROVIDENCE SAINT JOSEPH MEDICAL CTR,501 SOUTH BUENA VISTA STREET,BURBANK,CA,91505,LOS ANGELES,(818) 843-5111,Acute Care Hospitals,Voluntary non-profit - Church
+87386,MEASE COUNTRYSIDE HOSPITAL,3231 MCMULLEN BOOTH RD,SAFETY HARBOR,FL,34695,PINELLAS,(727) 734-6950,Acute Care Hospitals,Voluntary non-profit - Private
+77496,EASTPOINTE HOSPITAL,7400 ROPER LANE,DAPHNE,AL,36526,BALDWIN,(251) 378-6500,Psychiatric,Voluntary non-profit - Other
+19885,SULLIVAN COUNTY COMMUNITY HOSPITAL,2200 N SECTION ST,SULLIVAN,IN,47882,SULLIVAN,(812) 268-4311,Critical Access Hospitals,Government - Local
+86028,DOWN EAST COMMUNITY HOSPITAL,11 HOSPITAL DRIVE,MACHIAS,ME,4654,WASHINGTON,(207) 255-3356,Critical Access Hospitals,Voluntary non-profit - Private
+37378,EAST JEFFERSON GENERAL HOSPITAL,4200 HOUMA BLVD,METAIRIE,LA,70006,JEFFERSON,(504) 454-4000,Acute Care Hospitals,Government - Hospital District or Authority
+88774,CHESTNUT HILL HOSPITAL,8835 GERMANTOWN AVE,PHILADELPHIA,PA,19118,PHILADELPHIA,(215) 248-8200,Acute Care Hospitals,Proprietary
+73396,ST ANTHONY REGIONAL HOSPITAL & NURSING HOME,311 SOUTH CLARK STREET,CARROLL,IA,51401,CARROLL,(712) 792-3581,Acute Care Hospitals,Voluntary non-profit - Private
+60157,ST CHARLES HOSPITAL,200 BELLE TERRE ROAD,PORT JEFFERSON,NY,11777,SUFFOLK,(631) 474-6000,Acute Care Hospitals,Voluntary non-profit - Private
+24129,ST DOMINIC-JACKSON MEMORIAL HOSPITAL,969 LAKELAND DR,JACKSON,MS,39216,HINDS,(601) 200-2000,Acute Care Hospitals,Voluntary non-profit - Church
+10745,ANTELOPE VALLEY HOSPITAL,1600 W AVE J,LANCASTER,CA,93534,LOS ANGELES,(661) 949-5000,Acute Care Hospitals,Government - Hospital District or Authority
+23036,NORTHWEST SURGICAL HOSPITAL,9204 NORTH MAY AVENUE,OKLAHOMA CITY,OK,73120,OKLAHOMA,(405) 848-1918,Acute Care Hospitals,Physician
+41568,VIRGINIA BEACH PSYCHIATRIC CENTER,1100 FIRST COLONIAL ROAD,VIRGINIA BEACH,VA,23454,VIRGINIA BEACH CITY,(757) 496-6000,Psychiatric,Proprietary
+10199,SENTARA PRINCESS ANNE HOSPITAL,2025 GLENN MITCHELL DRIVE,VIRGINIA BEACH,VA,23456,VIRGINIA BEACH CITY,(757) 507-1520,Acute Care Hospitals,Voluntary non-profit - Other
+28694,CHI HEALTH MISSOURI VALLEY,631 N 8TH ST,MISSOURI VALLEY,IA,51555,HARRISON,(712) 642-2784,Critical Access Hospitals,Voluntary non-profit - Private
+47249,ASANTE ASHLAND COMMUNITY HOSPITAL,280 MAPLE STREET,ASHLAND,OR,97520,JACKSON,(541) 201-4017,Acute Care Hospitals,Government - Local
+19613,ASCENSION EAGLE RIVER HOSPITAL,201 HOSPITAL ROAD,EAGLE RIVER,WI,54521,VILAS,(715) 479-7411,Critical Access Hospitals,Voluntary non-profit - Private
+40136,CARE REGIONAL MEDICAL CENTER,1711 W WHEELER AVENUE,ARANSAS PASS,TX,78336,SAN PATRICIO,(361) 758-8585,Acute Care Hospitals,Proprietary
+94681,HOCKING VALLEY COMMUNITY HOSPITAL,601 STATE ROUTE 664N,LOGAN,OH,43138,HOCKING,(740) 380-8227,Critical Access Hospitals,Voluntary non-profit - Other
+79955,CITIZENS MEMORIAL HOSPITAL,1500 N OAKLAND,BOLIVAR,MO,65613,POLK,(417) 326-6000,Acute Care Hospitals,Government - Hospital District or Authority
+68924,BRECKINRIDGE MEMORIAL HOSPITAL,1011 OLD HIGHWAY 60,HARDINSBURG,KY,40143,BRECKINRIDGE,(270) 756-7000,Critical Access Hospitals,Government - Local
+22819,PUTNAM COMMUNITY MEDICAL CENTER,611 ZEAGLER DR,PALATKA,FL,32177,PUTNAM,(386) 326-8500,Acute Care Hospitals,Proprietary
+81136,ST MARY'S HOSPITAL,701 LEWISTON ST,COTTONWOOD,ID,83522,IDAHO,(208) 962-3251,Critical Access Hospitals,Voluntary non-profit - Private
+35351,SANFORD,801 BROADWAY NORTH,FARGO,ND,58122,CASS,(701) 234-2000,Acute Care Hospitals,Voluntary non-profit - Private
+81637,MCLEOD LORIS  HOSPITAL,3655 MITCHELL STREET,LORIS,SC,29569,HORRY,(843) 716-7000,Acute Care Hospitals,Voluntary non-profit - Private
+76956,CAMDEN CLARK MEDICAL CENTER,800 GARFIELD AVE,PARKERSBURG,WV,26101,WOOD,(304) 424-2111,Acute Care Hospitals,Voluntary non-profit - Private
+88997,LOVELACE REGIONAL HOSPITAL - ROSWELL,117 EAST 19TH STREET,ROSWELL,NM,88201,CHAVES,(575) 625-3345,Acute Care Hospitals,Voluntary non-profit - Private
+61011,UPMC KANE,4372 ROUTE 6,KANE,PA,16735,MC KEAN,(814) 837-8585,Acute Care Hospitals,Voluntary non-profit - Private
+87019,HAXTUN HOSPITAL DISTRICT,235 W FLETCHER ST,HAXTUN,CO,80731,PHILLIPS,(970) 774-6123,Critical Access Hospitals,Government - Hospital District or Authority
+87952,MERCY HOSPITAL JEFFERSON,1400 US HIGHWAY 61,FESTUS,MO,63028,JEFFERSON,(636) 933-1000,Acute Care Hospitals,Voluntary non-profit - Private
+21566,LIFECARE MEDICAL CENTER,715 DELMORE DRIVE,ROSEAU,MN,56751,ROSEAU,(218) 463-2500,Critical Access Hospitals,Voluntary non-profit - Private
+25410,WESTLAKE HOSPITAL,1225 LAKE ST,MELROSE PARK,IL,60160,COOK,(708) 938-4000,Acute Care Hospitals,Voluntary non-profit - Other
+92652,STEPHENS MEMORIAL HOSPITAL,200 SOUTH GENEVA STREET,BRECKENRIDGE,TX,76424,STEPHENS,(254) 559-2241,Acute Care Hospitals,Government - Hospital District or Authority
+52093,CONEY ISLAND HOSPITAL CENTER,2601 OCEAN PARKWAY,BROOKLYN,NY,11235,KINGS,(718) 616-3000,Acute Care Hospitals,Government - Local
+56373,SWEENY COMMUNITY HOSPITAL,305 NORTH MCKINNEY,SWEENY,TX,77480,BRAZORIA,(979) 548-3311,Critical Access Hospitals,Government - Hospital District or Authority
+79505,CARROLL HOSPITAL CENTER,200 MEMORIAL AVENUE,WESTMINSTER,MD,21157,CARROLL,(410) 848-3000,Acute Care Hospitals,Voluntary non-profit - Private
+86785,BAPTIST MEMORIAL HOSPITAL - CARROLL COUNTY,631 RB WILSON DR,HUNTINGDON,TN,38344,CARROLL,(731) 986-4461,Acute Care Hospitals,Voluntary non-profit - Private
+44815,BAYLOR SCOTT & WHITE MEDICAL CENTER - LLANO,200 W OLLIE,LLANO,TX,78643,LLANO,(325) 247-5040,Acute Care Hospitals,Voluntary non-profit - Private
+88737,MERCY HOSPITAL COLUMBUS,220 N PENNSYLVANIA AVENUE,COLUMBUS,KS,66725,CHEROKEE,(620) 429-2545,Critical Access Hospitals,Voluntary non-profit - Church
+13728,P H S INDIAN HOSPITAL-FT BELKNAP AT HARLEM - CAH,"456 GROS VENTRE AVE, RR 1",HARLEM,MT,59526,BLAINE,(406) 353-3100,Critical Access Hospitals,Government - Federal
+36718,GOOD SAMARITAN HOSPITAL OF SUFFERN,255 LAFAYETTE AVENUE,SUFFERN,NY,10901,ROCKLAND,(845) 368-5000,Acute Care Hospitals,Voluntary non-profit - Church
+36210,EL PASO PSYCHIATRIC CENTER,4615 ALAMEDA AVENUE,EL PASO,TX,79905,EL PASO,(915) 532-2202,Psychiatric,Government - State
+90591,SOUTH CENTRAL KS  MED CENTER,6401 PATTERSON PARKWAY,ARKANSAS CITY,KS,67005,COWLEY,(620) 442-2500,Acute Care Hospitals,Government - Local
+14157,MARLETTE REGIONAL HOSPITAL,2770 MAIN STREET,MARLETTE,MI,48453,SANILAC,(989) 635-4000,Critical Access Hospitals,Voluntary non-profit - Private
+60909,"PAWHUSKA HOSPITAL, INC",1101 EAST 15TH STREET,PAWHUSKA,OK,74056,OSAGE,(918) 287-3232,Critical Access Hospitals,Voluntary non-profit - Private
+73225,NORTHSHORE UNIVERSITY HEALTHSYSTEM EVANSTON HOSP,2650 RIDGE AVE,EVANSTON,IL,60201,COOK,(847) 432-8000,Acute Care Hospitals,Voluntary non-profit - Other
+17139,INOVA FAIRFAX HOSPITAL,3300 GALLOWS ROAD,FALLS CHURCH,VA,22042,FAIRFAX,(703) 776-4001,Acute Care Hospitals,Voluntary non-profit - Private
+23193,PROVIDENCE REGIONAL MEDICAL CENTER EVERETT,1321 COLBY AVENUE,EVERETT,WA,98201,SNOHOMISH,(425) 261-2000,Acute Care Hospitals,Voluntary non-profit - Church
+77700,BERGEN NEW BRIDGE MEDICAL CENTER,230 EAST RIDGEWOOD AVE,PARAMUS,NJ,7652,BERGEN,(201) 967-4000,Acute Care Hospitals,Government - Local
+35930,"ASPIRUS ONTONAGON HOSPITAL, INC",601 S SEVENTH ST,ONTONAGON,MI,49953,ONTONAGON,(906) 884-8000,Critical Access Hospitals,Government - Local
+14165,GRAYS HARBOR COMMUNITY HOSPITAL,915 ANDERSON DRIVE,ABERDEEN,WA,98520,GRAYS HARBOR,(360) 532-8330,Acute Care Hospitals,Voluntary non-profit - Private
+16607,BARNES-JEWISH WEST COUNTY HOSPITAL,12634 OLIVE BOULEVARD,CREVE COEUR,MO,63141,ST. LOUIS,(314) 996-8000,Acute Care Hospitals,Voluntary non-profit - Private
+26249,LAKE DISTRICT HOSPITAL,700 SOUTH J STREET,LAKEVIEW,OR,97630,LAKE,(541) 947-2114,Critical Access Hospitals,Government - Hospital District or Authority
+25045,EAST TENNESSEE CHILDRENS HOSPITAL,2018 CLINCH AVE SW,KNOXVILLE,TN,37916,KNOX,(865) 541-8000,Childrens,Voluntary non-profit - Private
+22201,WILLIAMSON MEMORIAL HOSPITAL,859 ALDERSON STREET,WILLIAMSON,WV,25661,MINGO,(304) 235-2500,Acute Care Hospitals,Voluntary non-profit - Private
+39862,THE ORTHOPAEDIC HOSPITAL OF LUTHERAN HEALTH NETWOR,7952 W JEFFERSON BLVD,FORT WAYNE,IN,46804,ALLEN,(260) 435-2999,Acute Care Hospitals,Proprietary
+72431,FORT LOUDON MEDICAL CENTER,550 FORT LOUDON MEDICAL CENTER DR,LENOIR CITY,TN,37772,LOUDON,(865) 271-6000,Acute Care Hospitals,Voluntary non-profit - Other
+50530,PINE CREEK MEDICAL CENTER LLP,9032 HARRY HINES BLVD,DALLAS,TX,75235,DALLAS,(214) 231-2273,Acute Care Hospitals,Proprietary
+61113,MERCY HEALTH - CLERMONT HOSPITAL,3000 HOSPITAL DRIVE,BATAVIA,OH,45103,CLERMONT,(513) 732-8590,Acute Care Hospitals,Voluntary non-profit - Church
+64779,NMC San Diego,34800 Bob Wilson Drive,San Diego,CA,92134,SAN DIEGO,(619) 532-6400,Acute Care - Department of Defense,Department of Defense
+63687,NORTHWEST SPECIALTY HOSPITAL,1593 EAST POLSTON AVENUE,POST FALLS,ID,83854,KOOTENAI,(208) 262-2466,Acute Care Hospitals,Proprietary
+41500,SIDNEY HEALTH CENTER,216 14TH AVE SW,SIDNEY,MT,59270,RICHLAND,(406) 488-2100,Critical Access Hospitals,Voluntary non-profit - Other
+45206,ST JOSEPH HOSPITAL,700 BROADWAY,FORT WAYNE,IN,46802,ALLEN,(260) 425-3000,Acute Care Hospitals,Proprietary
+91319,SINAI HOSPITAL OF BALTIMORE,2401 WEST BELVEDERE AVENUE,BALTIMORE,MD,21215,BALTIMORE CITY,(410) 601-5131,Acute Care Hospitals,Voluntary non-profit - Private
+25299,NORTH LOGAN MERCY HOSPITAL,500 EAST ACADEMY,PARIS,AR,72855,LOGAN,(479) 963-6101,Critical Access Hospitals,Voluntary non-profit - Church
+72262,NORTH AUSTIN MEDICAL CENTER,12221 MOPAC EXPRESSWAY NORTH,AUSTIN,TX,78758,TRAVIS,(512) 901-1000,Acute Care Hospitals,Proprietary
+39693,TIFT REGIONAL MEDICAL CENTER,901 E 18TH STREET,TIFTON,GA,31793,TIFT,(229) 382-7120,Acute Care Hospitals,Government - Hospital District or Authority
+71865,MERCY GENERAL HOSPITAL,4001 J ST,SACRAMENTO,CA,95819,SACRAMENTO,(916) 453-4453,Acute Care Hospitals,Voluntary non-profit - Private
+35258,SYRACUSE AREA HEALTH,2731 HEALTHCARE DR,SYRACUSE,NE,68446,OTOE,(402) 269-2011,Critical Access Hospitals,Government - Hospital District or Authority
+83755,NIOBRARA VALLEY HOSPITAL,"P O BOX 118, 401 SOUTH 5TH STREET",LYNCH,NE,68746,BOYD,(402) 569-2451,Critical Access Hospitals,Voluntary non-profit - Private
+59795,SKYLINE HOSPITAL,211 SKYLINE DRIVE,WHITE SALMON,WA,98672,KLICKITAT,(509) 491-1101,Critical Access Hospitals,Government - Hospital District or Authority
+17797,ST LUKE COMMUNITY HOSPITAL,107 6TH AVE SW,RONAN,MT,59864,LAKE,(406) 676-4441,Critical Access Hospitals,Voluntary non-profit - Private
+17367,ASCENSION ST VINCENT'S SOUTHSIDE,4201 BELFORT RD,JACKSONVILLE,FL,32216,DUVAL,(904) 296-3700,Acute Care Hospitals,Voluntary non-profit - Private
+70470,MERCY HOSPITAL WASHINGTON,901 EAST 5TH STREET,WASHINGTON,MO,63090,FRANKLIN,(636) 239-8000,Acute Care Hospitals,Voluntary non-profit - Private
+48956,FRANKLIN COUNTY MEMORIAL HOSPITAL,40 UNION CHURCH RD,MEADVILLE,MS,39653,FRANKLIN,(601) 384-5801,Critical Access Hospitals,Government - Local
+37545,RINGGOLD COUNTY HOSPITAL,504 NORTH CLEVELAND STREET,MOUNT AYR,IA,50854,RINGGOLD,(641) 464-3226,Critical Access Hospitals,Government - Local
+51659,HAMPSTEAD HOSPITAL,218 EAST ROAD,HAMPSTEAD,NH,3841,ROCKINGHAM,(603) 329-5311,Psychiatric,Proprietary
+56101,HACKETTSTOWN MEDICAL CENTER,651 WILLOW GROVE ST,HACKETTSTOWN,NJ,7840,WARREN,(908) 852-5100,Acute Care Hospitals,Voluntary non-profit - Church
+71177,WRIGHT MEMORIAL HOSPITAL,191 IOWA BOULEVARD,TRENTON,MO,64683,GRUNDY,(660) 359-5621,Critical Access Hospitals,Voluntary non-profit - Private
+20168,THOMAS HOSPITAL,750 MORPHY AVENUE,FAIRHOPE,AL,36532,BALDWIN,(251) 928-2375,Acute Care Hospitals,Voluntary non-profit - Private
+43998,EMORY UNIVERSITY HOSPITAL,"1364 CLIFTON ROAD, NE",ATLANTA,GA,30322,DE KALB,(404) 686-8500,Acute Care Hospitals,Voluntary non-profit - Private
+55108,DEACONESS HOSPITAL INC,600 MARY ST,EVANSVILLE,IN,47747,VANDERBURGH,(812) 450-5000,Acute Care Hospitals,Voluntary non-profit - Private
+52082,JPS HEALTH NETWORK,1500 S MAIN ST,FORT WORTH,TX,76104,TARRANT,(817) 921-3431,Acute Care Hospitals,Government - Hospital District or Authority
+13677,NORTH MISSISSIPPI MEDICAL CENTER,830 S GLOSTER STREET,TUPELO,MS,38801,LEE,(662) 377-6608,Acute Care Hospitals,Voluntary non-profit - Private
+28152,HEALTHALLIANCE HOSPITAL MARYS AVENUE CAMPUS,105 MARY'S AVENUE,KINGSTON,NY,12401,ULSTER,(845) 338-2500,Acute Care Hospitals,Voluntary non-profit - Church
+58992,CONNALLY MEMORIAL MEDICAL CENTER,499 10TH STREET,FLORESVILLE,TX,78114,WILSON,(830) 393-1300,Acute Care Hospitals,Government - Hospital District or Authority
+74490,CENTRAL REGIONAL HOSPITAL,300 VEAZY RD,BUTNER,NC,27509,GRANVILLE,(919) 764-2000,Psychiatric,Voluntary non-profit - Church
+94770,ABILENE REGIONAL MEDICAL CENTER,6250 HWY 83/84,ABILENE,TX,79606,TAYLOR,(325) 428-1000,Acute Care Hospitals,Proprietary
+79425,DECATUR COUNTY GENERAL HOSPITAL,969 TENNESSEE AVE S,PARSONS,TN,38363,DECATUR,(731) 847-3031,Acute Care Hospitals,Government - Local
+14262,NORTH BIG HORN HOSPITAL DISTRICT,1115 LANE 12,LOVELL,WY,82431,BIG HORN,(307) 548-5200,Critical Access Hospitals,Government - Hospital District or Authority
+56959,BROWN COUNTY COMMUNITY TREATMENT CTR,3150 GERSHWIN DRIVE,GREEN BAY,WI,54311,BROWN,(920) 391-4700,Psychiatric,Government - Local
+87106,ST VINCENT'S ST CLAIR,7063 VETERANS PARKWAY,PELL CITY,AL,35125,ST. CLAIR,(205) 338-3301,Acute Care Hospitals,Voluntary non-profit - Private
+41120,MERCY HEALTH - URBANA HOSPITAL,904 SCIOTO STREET,URBANA,OH,43078,CHAMPAIGN,(937) 653-5231,Critical Access Hospitals,Voluntary non-profit - Private
+46619,UNIVERSITY MEDICAL CENTER,602 INDIANA AVENUE,LUBBOCK,TX,79415,LUBBOCK,(806) 775-8200,Acute Care Hospitals,Government - Hospital District or Authority
+71451,ST FRANCIS HOSPITAL,5959 PARK AVE,MEMPHIS,TN,38119,SHELBY,(901) 765-1000,Acute Care Hospitals,Proprietary
+80256,PARKLAND HEALTH AND HOSPITAL SYSTEM,5200 HARRY HINES BLVD,DALLAS,TX,75235,DALLAS,(214) 590-8000,Acute Care Hospitals,Government - Hospital District or Authority
+90277,PHOENIX CHILDREN'S HOSPITAL,1919 EAST THOMAS ROAD,PHOENIX,AZ,85016,MARICOPA,(602) 933-1000,Childrens,Voluntary non-profit - Private
+25147,NEWPORT BAY HOSPITAL,1501 E 16TH ST,NEWPORT BEACH,CA,92663,ORANGE,(949) 650-9750,Psychiatric,Proprietary
+11926,PLATTE HEALTH CENTER - CAH,601 E 7TH ST  POST OFFICE BOX 200,PLATTE,SD,57369,CHARLES MIX,(605) 337-3364,Critical Access Hospitals,Voluntary non-profit - Private
+81986,"CYPRESS GROVE BEHAVIORAL HEALTH, LLC",4673 EUGENE WARE ROAD,BASTROP,LA,71220,MOREHOUSE,(318) 281-2448,Psychiatric,Proprietary
+36154,BELLA VISTA HOSPITAL,CARR 349 KM 2 7 CERRO LAS MESAS,MAYAGUEZ,PR,681,MAYAGUEZ,(787) 652-6045,Acute Care Hospitals,Voluntary non-profit - Church
+70388,SOUTHAMPTON MEMORIAL HOSPITAL,100 FAIRVIEW DRIVE - PO BOX 817,FRANKLIN,VA,23851,FRANKLIN CITY,(757) 569-6100,Acute Care Hospitals,Proprietary
+81109,SEDAN CITY HOSPITAL,300 NORTH STREET,SEDAN,KS,67361,CHAUTAUQUA,(620) 725-3115,Critical Access Hospitals,Government - Local
+83776,BEAUREGARD MEMORIAL HOSPITAL,600 S PINE STREET,DERIDDER,LA,70634,BEAUREGARD,(337) 462-7100,Acute Care Hospitals,Government - Hospital District or Authority
+31515,MERCYONE DYERSVILLE MEDICAL CENTER,1111 3RD STREET SW,DYERSVILLE,IA,52040,DUBUQUE,(563) 875-7101,Critical Access Hospitals,Voluntary non-profit - Private
+93590,PENN HIGHLANDS DUBOIS,100 HOSPITAL AVENUE,DUBOIS,PA,15801,CLEARFIELD,(814) 371-2200,Acute Care Hospitals,Voluntary non-profit - Other
+65342,ST ELIZABETH'S MEDICAL CENTER,736 CAMBRIDGE STREET,BRIGHTON,MA,2135,SUFFOLK,(617) 789-3000,Acute Care Hospitals,Proprietary
+91651,LAKEVIEW MEMORIAL HOSPITAL,927 WEST CHURCHILL STREET,STILLWATER,MN,55082,WASHINGTON,(651) 430-5330,Acute Care Hospitals,Voluntary non-profit - Private
+56553,SOLDIERS AND SAILORS MEMORIAL HOSPITAL OF YATES,418 NORTH MAIN STREET,PENN YAN,NY,14527,YATES,(315) 787-4175,Critical Access Hospitals,Voluntary non-profit - Other
+44667,SALEM TOWNSHIP HOSPITAL,1201 RICKER DRIVE,SALEM,IL,62881,MARION,(618) 548-3194,Critical Access Hospitals,Government - Local
+24452,PRISMA HEALTH BAPTIST,1330 TAYLOR AT MARION ST,COLUMBIA,SC,29220,RICHLAND,(803) 296-5678,Acute Care Hospitals,Voluntary non-profit - Private
+81202,MEDSTAR MONTGOMERY MEDICAL CENTER,18101 PRINCE PHILIP DRIVE,OLNEY,MD,20832,MONTGOMERY,(301) 774-8882,Acute Care Hospitals,Voluntary non-profit - Private
+79424,J D MCCARTY CENTER FOR CHILDREN,2002  EAST ROBINSON,NORMAN,OK,73071,CLEVELAND,(405) 307-2800,Childrens,Government - State
+20785,CURRY GENERAL HOSPITAL,94220 FOURTH STREET,GOLD BEACH,OR,97444,CURRY,(541) 247-3000,Critical Access Hospitals,Government - Hospital District or Authority
+42569,RUSH COUNTY MEMORIAL HOSPITAL,801 LOCUST ST,LA CROSSE,KS,67548,RUSH,(785) 222-2545,Critical Access Hospitals,Government - Local
+32829,THE UNIVERSITY OF CHICAGO MEDICAL CENTER,5841 SOUTH MARYLAND,CHICAGO,IL,60637,COOK,(773) 702-1000,Acute Care Hospitals,Voluntary non-profit - Private
+71821,LINDEN OAKS HOSPITAL,852 S WEST STREET,NAPERVILLE,IL,60540,DU PAGE,(630) 305-5500,Psychiatric,Voluntary non-profit - Private
+28957,CLEAR VISTA HEALTH & WELLNESS,3364 KOLBE ROAD,LORAIN,OH,44053,LORAIN,(440) 960-7960,Psychiatric,Proprietary
+27399,MERCY MEDICAL CENTER-SIOUX CITY,801 5TH ST,SIOUX CITY,IA,51101,WOODBURY,(712) 279-2010,Acute Care Hospitals,Voluntary non-profit - Private
+32069,LOS ALAMOS MEDICAL CENTER,3917 WEST ROAD,LOS ALAMOS,NM,87544,LOS ALAMOS,(505) 662-4201,Acute Care Hospitals,Proprietary
+89251,MOSAIC MEDICAL CENTER - MARYVILLE,2016 SOUTH MAIN ST,MARYVILLE,MO,64468,NODAWAY,(660) 562-2600,Acute Care Hospitals,Voluntary non-profit - Church
+30654,STRONG MEMORIAL HOSPITAL,601 ELMWOOD AVE,ROCHESTER,NY,14642,MONROE,(585) 275-2121,Acute Care Hospitals,Voluntary non-profit - Private
+41304,KIRBY FORENSIC PSYCHIATRIC CENTER,WARD ISLAND,NEW YORK,NY,10035,NEW YORK,(212) 427-9003,Psychiatric,Government - State
+11479,THE PHYSICIANS' HOSPITAL IN ANADARKO,1002 E CENTRAL BLVD,ANADARKO,OK,73005,CADDO,(405) 247-8236,Critical Access Hospitals,Voluntary non-profit - Private
+18757,BANNER IRONWOOD MEDICAL CENTER,37000 NORTH GANTZEL ROAD,QUEEN CREEK,AZ,85140,PINAL,(480) 394-4030,Acute Care Hospitals,Voluntary non-profit - Private
+82993,SAINT PETER'S UNIVERSITY HOSPITAL,254 EASTON AVE,NEW BRUNSWICK,NJ,8901,MIDDLESEX,(732) 745-8600,Acute Care Hospitals,Voluntary non-profit - Church
+28873,MESCALERO PHS INDIAN HOSPITAL,P O BOX 210,MESCALERO,NM,88340,OTERO,(505) 464-4441,Acute Care Hospitals,Government - Federal
+40790,WEST HOLT MEMORIAL HOSPITAL,406 W NEELY ST,ATKINSON,NE,68713,HOLT,(402) 925-2811,Critical Access Hospitals,Voluntary non-profit - Private
+70355,MIDDLESEX HOSPITAL,28 CRESCENT ST,MIDDLETOWN,CT,6457,MIDDLESEX,(860) 344-6000,Acute Care Hospitals,Voluntary non-profit - Private
+37411,WESTERN REGIONAL MEDICAL CENTER,14200 WEST CELEBRATE LIFE WAY,GOODYEAR,AZ,85338,MARICOPA,(623) 207-3518,Acute Care Hospitals,Proprietary
+35522,HOLLYWOOD PRESBYTERIAN MEDICAL CENTER,1300 N VERMONT AVE,LOS ANGELES,CA,90027,LOS ANGELES,(213) 413-3000,Acute Care Hospitals,Proprietary
+90404,EAST CENTRAL REGIONAL HOSPITAL,3405 MIKE PADGETT HWY,AUGUSTA,GA,30906,RICHMOND,(706) 792-7006,Psychiatric,Government - State
+44615,OZARKS MEDICAL CENTER,1100 KENTUCKY AVE,WEST PLAINS,MO,65775,HOWELL,(417) 256-9111,Acute Care Hospitals,Voluntary non-profit - Other
+37596,GEORGIA REGIONAL HOSPITAL ATLANTA,3073 PANTHERSVILLE ROAD,DECATUR,GA,30034,DE KALB,(404) 243-2100,Psychiatric,Government - State
+50254,ADVENTIST HEALTH UKIAH VALLEY,275 HOSPITAL DRIVE,UKIAH,CA,95482,MENDOCINO,(707) 462-3111,Acute Care Hospitals,Voluntary non-profit - Church
+68269,PROSSER MEMORIAL HOSPITAL,723 MEMORIAL STREET,PROSSER,WA,99350,BENTON,(509) 786-2222,Critical Access Hospitals,Government - Hospital District or Authority
+56700,BRISTOW MEDICAL CENTER,700 W. 7TH STREET,BRISTOW,OK,74010,CREEK,(918) 367-2215,Acute Care Hospitals,Government - Hospital District or Authority
+62689,EAGLEVILLE HOSPITAL,100 EAGLEVILLE RD,EAGLEVILLE,PA,19408,MONTGOMERY,(215) 539-6000,Acute Care Hospitals,Voluntary non-profit - Private
+93383,COMMUNITY HOSPITAL INC,805 FRIENDSHIP ROAD,TALLASSEE,AL,36078,ELMORE,(334) 283-6541,Acute Care Hospitals,Voluntary non-profit - Private
+36924,RIDDLE MEMORIAL HOSPITAL,1068 WEST BALTIMORE PIKE,MEDIA,PA,19063,DELAWARE,(610) 566-9400,Acute Care Hospitals,Voluntary non-profit - Private
+29486,PARK ROYAL HOSPITAL,9241 PARK ROYAL DR,FORT MYERS,FL,33908,LEE,(239) 332-0125,Psychiatric,Proprietary
+23059,KAISER FOUNDATION HOSPITAL-MORENO VALLEY,27300 IRIS AVENUE,MORENO VALLEY,CA,92555,RIVERSIDE,(951) 251-6000,Acute Care Hospitals,Voluntary non-profit - Other
+61276,ST BERNARDINE MEDICAL CENTER,2101 N WATERMAN AVE,SAN BERNARDINO,CA,92404,SAN BERNARDINO,(909) 883-8711,Acute Care Hospitals,Voluntary non-profit - Private
+50069,EAST OHIO REGIONAL HOSPITAL,90 NORTH FOURTH STREET,MARTINS FERRY,OH,43935,BELMONT,(740) 633-4205,Acute Care Hospitals,Voluntary non-profit - Other
+42111,VAIL HEALTH HOSPITAL,181 W MEADOW DR,VAIL,CO,81657,EAGLE,(970) 476-2451,Acute Care Hospitals,Voluntary non-profit - Other
+51644,PROVO CANYON BEHAVIORAL HOSPITAL,1350 EAST 750 NORTH,OREM,UT,84097,UTAH,(801) 852-2273,Psychiatric,Proprietary
+64322,SCOTLAND MEMORIAL HOSPITAL,500 LAUCHWOOD DR,LAURINBURG,NC,28352,SCOTLAND,(910) 291-7000,Acute Care Hospitals,Voluntary non-profit - Private
+51551,PARK PLAZA HOSPITAL,1313 HERMANN DR,HOUSTON,TX,77004,HARRIS,(713) 527-5019,Acute Care Hospitals,Proprietary
+15802,MARY IMOGENE BASSETT HOSPITAL,ONE ATWELL ROAD,COOPERSTOWN,NY,13326,OTSEGO,(607) 547-3456,Acute Care Hospitals,Voluntary non-profit - Private
+19864,AVERA ST LUKES,305 S STATE ST  POST OFFICE BOX 4450,ABERDEEN,SD,57401,BROWN,(605) 622-5000,Acute Care Hospitals,Voluntary non-profit - Church
+83025,KAISER FOUNDATION HOSPITAL - FREMONT,39400 PASEO PADRE PKWY,FREMONT,CA,94538,ALAMEDA,(510) 784-4000,Acute Care Hospitals,Voluntary non-profit - Private
+76190,THE MEDICAL CENTER AT BOWLING GREEN,250 PARK STREET,BOWLING GREEN,KY,42101,WARREN,(270) 745-1000,Acute Care Hospitals,Voluntary non-profit - Private
+92417,ST MARKS MEDICAL CENTER,ONE ST MARK'S PLACE,LA GRANGE,TX,78945,FAYETTE,(979) 242-2200,Acute Care Hospitals,Voluntary non-profit - Private
+28644,LEE MEMORIAL HOSPITAL,2776 CLEVELAND AVE,FORT MYERS,FL,33901,LEE,(239) 332-1111,Acute Care Hospitals,Government - Hospital District or Authority
+71827,KEARNY COUNTY HOSPITAL,500 THORPE STREET,LAKIN,KS,67860,KEARNY,(620) 355-7111,Critical Access Hospitals,Government - Local
+42152,ST ANDREWS HEALTH CENTER - CAH,316 OHMER STREET,BOTTINEAU,ND,58318,BOTTINEAU,(701) 228-9300,Critical Access Hospitals,Voluntary non-profit - Church
+28613,CLARA MAASS MEDICAL CENTER,ONE CLARA MAASS DRIVE,BELLEVILLE,NJ,7109,ESSEX,(973) 450-2002,Acute Care Hospitals,Voluntary non-profit - Private
+47251,NORTH MEMORIAL HEALTH,3300 OAKDALE NORTH,ROBBINSDALE,MN,55422,HENNEPIN,(763) 520-5200,Acute Care Hospitals,Voluntary non-profit - Private
+37414,OCEANS BEHAVIORAL HOSPITAL OF ABILENE,6401 DIRECTORS PARKWAY,ABILENE,TX,79606,TAYLOR,(329) 691-0030,Psychiatric,Proprietary
+34183,ADAMS COUNTY REGIONAL MEDICAL CENTER,230 MEDICAL CENTER DRIVE,SEAMAN,OH,45679,ADAMS,(937) 386-3400,Critical Access Hospitals,Government - Local
+77866,STATE HOSPITAL SOUTH,700 EAST ALICE STREET,BLACKFOOT,ID,83221,BINGHAM,(208) 785-1200,Psychiatric,Government - State
+47693,NELL J REDFIELD MEMORIAL HOSPITAL,150 NORTH 200 WEST,MALAD,ID,83252,ONEIDA,(208) 766-2231,Critical Access Hospitals,Government - Local
+58904,WOMEN & INFANTS HOSPITAL OF RHODE ISLAND,101 DUDLEY STREET,PROVIDENCE,RI,2905,PROVIDENCE,(401) 274-1100,Acute Care Hospitals,Voluntary non-profit - Private
+67578,LAC+USC MEDICAL CENTER,"1200 N STATE ST, ROOM C2K100",LOS ANGELES,CA,90033,LOS ANGELES,(323) 226-2800,Acute Care Hospitals,Government - Local
+67619,"BROOKHAVEN HOSPITAL, INC",201 SOUTH GARNETT ROAD,TULSA,OK,74128,TULSA,(918) 438-4257,Psychiatric,Proprietary
+68858,"BEAUMONT HOSPITAL, ROYAL OAK",3601 W THIRTEEN MILE RD,ROYAL OAK,MI,48073,OAKLAND,(248) 898-5000,Acute Care Hospitals,Voluntary non-profit - Private
+46926,DR JOHN C CORRIGAN MENTAL HEALTH CENTER,49 HILLSIDE STREET,FALL RIVER,MA,2720,BRISTOL,(508) 235-7600,Psychiatric,Government - State
+19910,WHITMAN HOSPITAL AND MEDICAL CENTER,1200 WEST FAIRVIEW,COLFAX,WA,99111,WHITMAN,(509) 397-3435,Critical Access Hospitals,Government - Hospital District or Authority
+77309,ST JOSEPH'S HOSPITAL,350 NORTH WILMOT ROAD,TUCSON,AZ,85711,PIMA,(520) 873-3000,Acute Care Hospitals,Voluntary non-profit - Other
+21148,CORDELL MEMORIAL HOSPITAL,1220 NORTH GLENN ENGLISH STREET,CORDELL,OK,73632,WASHITA,(580) 832-3339,Critical Access Hospitals,Government - Local
+68040,ANNA JAQUES HOSPITAL,25 HIGHLAND AVENUE,NEWBURYPORT,MA,1950,ESSEX,(978) 463-1000,Acute Care Hospitals,Voluntary non-profit - Private
+49148,OCHSNER MEDICAL CENTER,1516 JEFFERSON HWY,NEW ORLEANS,LA,70121,JEFFERSON,(504) 842-3000,Acute Care Hospitals,Voluntary non-profit - Private
+36712,NORTHERN LIGHT INLAND HOSPITAL,200 KENNEDY MEMORIAL DRIVE,WATERVILLE,ME,4901,KENNEBEC,(207) 861-3000,Acute Care Hospitals,Proprietary
+90714,WATERTOWN REGIONAL MEDICAL CENTER,125 HOSPITAL DRIVE,WATERTOWN,WI,53098,DODGE,(920) 261-4210,Acute Care Hospitals,Voluntary non-profit - Private
+57043,THEDACARE MEDICAL CENTER - WAUPACA INC,800 RIVERSIDE DRIVE,WAUPACA,WI,54981,WAUPACA,(715) 258-1000,Critical Access Hospitals,Voluntary non-profit - Private
+61749,BAYLOR SCOTT AND WHITE  MEDICAL CENTER  MCKINNEY,5252 WEST UNIVERSITY DRIVE,MC KINNEY,TX,75071,COLLIN,(469) 764-2200,Acute Care Hospitals,Voluntary non-profit - Private
+38701,"ST JOHN BROKEN ARROW, INC",1000 WEST BOISE CIRCLE,BROKEN ARROW,OK,74012,TULSA,(918) 994-8100,Acute Care Hospitals,Voluntary non-profit - Private
+37389,ADVENTIST HINSDALE HOSPITAL,120 NORTH OAK ST,HINSDALE,IL,60521,DU PAGE,(630) 856-9000,Acute Care Hospitals,Voluntary non-profit - Private
+15673,GREELEY COUNTY HEALTH SERVICES,506 3RD STREET,TRIBUNE,KS,67879,GREELEY,(620) 376-4221,Critical Access Hospitals,Government - Local
+47889,MANHATTAN SURGICAL HOSPITAL LLC,1829 COLLEGE AVENUE,MANHATTAN,KS,66502,RILEY,(785) 776-5100,Acute Care Hospitals,Physician
+24055,ROOSEVELT GENERAL HOSPITAL,42121 US HIGHWAY 70,PORTALES,NM,88130,ROOSEVELT,(575) 359-1800,Acute Care Hospitals,Government - State
+61913,TENNOVA HEALTHCARE-LEBANON,1411 BADDOUR PARKWAY,LEBANON,TN,37087,WILSON,(615) 444-8262,Acute Care Hospitals,Voluntary non-profit - Private
+65276,KAISER FOUNDATION HOSPITAL - OAKLAND/RICHMOND,275 WEST MACARTHUR BOULEVARD,OAKLAND,CA,94611,ALAMEDA,(510) 752-1000,Acute Care Hospitals,Voluntary non-profit - Private
+51855,HARRISON MEMORIAL HOSPITAL,1210 KY HWY 36 E,CYNTHIANA,KY,41031,HARRISON,(859) 234-2300,Acute Care Hospitals,Voluntary non-profit - Other
+84976,TOLEDO HOSPITAL THE,2142 NORTH COVE BOULEVARD,TOLEDO,OH,43606,LUCAS,(419) 291-7463,Acute Care Hospitals,Voluntary non-profit - Private
+49341,SHADOW MOUNTAIN BEHAVIORAL HEALTH SYSTEM,6262 SOUTH SHERIDAN ROAD,TULSA,OK,74133,TULSA,(918) 492-8200,Psychiatric,Proprietary
+14721,DORMINY MEDICAL CENTER,"200 PERRY HOUSE ROAD, BOX 1447",FITZGERALD,GA,31750,BEN HILL,(229) 424-7100,Acute Care Hospitals,Government - Local
+78763,MILE BLUFF MEDICAL CENTER,1050 DIVISION ST,MAUSTON,WI,53948,JUNEAU,(608) 847-6161,Acute Care Hospitals,Proprietary
+80111,COMMUNITY MEMORIAL HOSPITAL SAN BUENAVENTURA,147 N BRENT ST,VENTURA,CA,93003,VENTURA,(805) 652-5011,Acute Care Hospitals,Voluntary non-profit - Private
+34113,MIRACLEMILE MEDICAL CENTER,6000 SAN VICENTE BLVD,LOS ANGELES,CA,90036,LOS ANGELES,(323) 930-1040,Acute Care Hospitals,Proprietary
+20128,SAN JORGE CHILDRENS HOSPITAL INC,258 SAN JORGE STREET,SAN JUAN,PR,912,SAN JUAN,(787) 727-1000,Acute Care Hospitals,Proprietary
+48903,COMMUNITY MEMORIAL HOSPITAL MEDICAL CENTER,909 WEST FIRST STREET,SUMNER,IA,50674,BREMER,(563) 578-3275,Critical Access Hospitals,Voluntary non-profit - Private
+53593,"BEAUMONT HOSPITAL, GROSSE POINTE",468 CADIEUX RD,GROSSE POINTE,MI,48230,WAYNE,(313) 343-1000,Acute Care Hospitals,Voluntary non-profit - Private
+20937,MONROE HOSPITAL,4011 S MONROE MEDICAL PARK BLVD,BLOOMINGTON,IN,47403,MONROE,(812) 825-1111,Acute Care Hospitals,Proprietary
+91143,LEGACY SALMON CREEK MEDICAL CENTER,2211 NE 139TH STREET,VANCOUVER,WA,98686,CLARK,(360) 487-1000,Acute Care Hospitals,Voluntary non-profit - Private
+26694,SSM HEALTH ST CLARE HOSPITAL - FENTON,1015 BOWLES,FENTON,MO,63026,JEFFERSON,(636) 496-2000,Acute Care Hospitals,Voluntary non-profit - Private
+40315,ESSENTIA HEALTH SANDSTONE,705 LUNDORFF DRIVE SOUTH,SANDSTONE,MN,55072,PINE,(320) 245-2212,Critical Access Hospitals,Voluntary non-profit - Private
+18589,SANFORD CLEAR LAKE MEDICAL CENTER,701 THIRD AVENUE SOUTH,CLEAR LAKE,SD,57226,DEUEL,(605) 874-2141,Critical Access Hospitals,Voluntary non-profit - Private
+48058,WESTSIDE REGIONAL MEDICAL CENTER,8201 W BROWARD BLVD,PLANTATION,FL,33324,BROWARD,(954) 473-6600,Acute Care Hospitals,Proprietary
+68463,SANFORD LUVERNE MEDICAL CENTER,1600 N KNISS AVENUE P O BOX 1019,LUVERNE,MN,56156,ROCK,(507) 283-2321,Critical Access Hospitals,Voluntary non-profit - Private
+26932,FORREST GENERAL HOSPITAL,6051 US HIGHWAY 49,HATTIESBURG,MS,39404,FORREST,(601) 288-7000,Acute Care Hospitals,Government - Local
+38597,WASHINGTON COUNTY HOSP INC,958 US HWY 64 EAST,PLYMOUTH,NC,27962,WASHINGTON,(252) 793-4135,Critical Access Hospitals,Proprietary
+69834,PROVIDENCE WILLAMETTE FALLS MEDICAL CENTER,1500 DIVISION STREET,OREGON CITY,OR,97045,CLACKAMAS,(503) 657-6915,Acute Care Hospitals,Voluntary non-profit - Private
+33562,BROWN COUNTY HOSPITAL,945 EAST ZERO ST,AINSWORTH,NE,69210,BROWN,(402) 387-2800,Critical Access Hospitals,Government - Local
+13630,CONNECTICUT VALLEY HOSP,SILVER ST,MIDDLETOWN,CT,6457,MIDDLESEX,(203) 344-2666,Psychiatric,Government - State
+13881,BRIGHAM CITY COMMUNITY HOSPITAL,950 SOUTH MEDICAL DRIVE,BRIGHAM CITY,UT,84302,BOX ELDER,(435) 734-9471,Acute Care Hospitals,Proprietary
+60116,PROV SACRED HRT MED CTR & CHILDS HOSP.,101 WEST 8TH AVENUE,SPOKANE,WA,99204,SPOKANE,(509) 474-3040,Acute Care Hospitals,Voluntary non-profit - Church
+74822,OHIO VALLEY SURGICAL HOSPITAL,100 WEST MAIN STREET,SPRINGFIELD,OH,45502,CLARK,(937) 521-3900,Acute Care Hospitals,Voluntary non-profit - Private
+29812,LUCAS COUNTY HEALTH CENTER,1200 NORTH 7TH STREET,CHARITON,IA,50049,LUCAS,(641) 774-3000,Critical Access Hospitals,Voluntary non-profit - Other
+38147,HALIFAX REGIONAL MEDICAL CENTER INC,250 SMITH CHURCH RD,ROANOKE RAPIDS,NC,27870,HALIFAX,(252) 535-8005,Acute Care Hospitals,Voluntary non-profit - Private
+22003,MEMORIAL HOSPITAL,500 LONDON AVENUE,MARYSVILLE,OH,43040,UNION,(937) 578-2289,Acute Care Hospitals,Government - Local
+72911,HOUSTON BEHAVIORAL HEALTHCARE HOSPITAL LLC,2801 GESSNER ROAD,HOUSTON,TX,77080,HARRIS,(832) 834-7710,Psychiatric,Proprietary
+56197,ATRIUM HEALTH KINGS MOUNTAIN,706 W KING ST,KINGS MOUNTAIN,NC,28086,CLEVELAND,(704) 739-3601,Acute Care Hospitals,Government - Hospital District or Authority
+94224,GRACIE SQUARE HOSP,420 EAST 76 ST,NEW YORK,NY,10021,NEW YORK,(212) 434-5322,Psychiatric,Voluntary non-profit - Private
+10188,UNITED MEMORIAL MEDICAL CENTER,127 NORTH STREET,BATAVIA,NY,14020,GENESEE,(585) 343-6030,Acute Care Hospitals,Voluntary non-profit - Private
+73446,MILLWOOD HOSPITAL,1011 NORTH COOPER STREET,ARLINGTON,TX,76011,TARRANT,(817) 261-3121,Psychiatric,Proprietary
+15499,ST BERNARD PARISH HOSPITAL,8000 WEST JUDGE PEREZ DRIVE,CHALMETTE,LA,70043,ST. BERNARD,(504) 826-9500,Acute Care Hospitals,Government - Hospital District or Authority
+43449,SAN MATEO MEDICAL CENTER,222 W 39TH AVE,SAN MATEO,CA,94403,SAN MATEO,(650) 573-2222,Acute Care Hospitals,Government - Local
+94659,PIEDMONT HENRY HOSPITAL,1133 EAGLE'S LANDING PARKWAY,STOCKBRIDGE,GA,30281,HENRY,(678) 604-1000,Acute Care Hospitals,Government - Hospital District or Authority
+56697,CENTRO MEDICO WILMA N VAZQUEZ,CARR. 2 KM 39.5    ROAD NUMBER 2 BO ALGARROBO,VEGA BAJA,PR,693,VEGA BAJA,(787) 858-1580,Acute Care Hospitals,Proprietary
+86073,OTIS R BOWEN CENTER FOR HUMAN SERVICES INC,9 PEQUIGNOT DR,PIERCETON,IN,46562,KOSCIUSKO,(574) 267-7169,Psychiatric,Voluntary non-profit - Private
+67270,ST JOHNS HOSPITAL,800 E CARPENTER ST,SPRINGFIELD,IL,62769,SANGAMON,(217) 544-6464,Acute Care Hospitals,Voluntary non-profit - Church
+19593,"MERCY HOSPITAL, INC",218 E PACK STREET,MOUNDRIDGE,KS,67107,MCPHERSON,(620) 345-6391,Acute Care Hospitals,Voluntary non-profit - Church
+64606,ST LUKE'S MAGIC VALLEY RMC,801 POLE LINE ROAD WEST,TWIN FALLS,ID,83301,TWIN FALLS,(208) 814-1000,Acute Care Hospitals,Voluntary non-profit - Private
+24220,VIRTUA OUR LADY OF LOURDES HOSPITAL,1600 HADDON AVENUE,CAMDEN,NJ,8103,CAMDEN,(856) 580-6330,Acute Care Hospitals,Voluntary non-profit - Private
+58255,HAMPTON BEHAVIORAL HEALTH SYSTEM,650 RANCOCAS ROAD,WESTAMPTON,NJ,8060,BURLINGTON,(609) 267-7000,Psychiatric,Proprietary
+62566,SANTIAM HOSPITAL,1401 N 10TH AVENUE,STAYTON,OR,97383,MARION,(503) 769-2175,Acute Care Hospitals,Voluntary non-profit - Private
+43821,HIGHLAND-CLARKSBURG HOSPITAL INC,3 HOSPITAL PLAZA,CLARKSBURG,WV,26301,HARRISON,(304) 622-4951,Psychiatric,Voluntary non-profit - Private
+84764,ST MARYS HOSPITAL,1800 E LAKE SHORE DR,DECATUR,IL,62521,MACON,(217) 464-2966,Acute Care Hospitals,Voluntary non-profit - Private
+13900,CHILDREN'S HOSPITAL AT MISSION,"27700 MEDICAL CENTER RD, 5TH FLOOR",MISSION VIEJO,CA,92691,ORANGE,(949) 365-2408,Childrens,Voluntary non-profit - Private
+38279,"SUMMIT MEDICAL CENTER, LLC",1800 SOUTH RENAISSANCE BOULEVARD,EDMOND,OK,73013,OKLAHOMA,(405) 359-2400,Acute Care Hospitals,Physician
+90918,MEDICAL COLLEGE OF VIRGINIA HOSPITALS,BOX 980510   1250 EAST MARSHALL STREET,RICHMOND,VA,23298,RICHMOND CITY,(804) 828-0938,Acute Care Hospitals,Government - Hospital District or Authority
+25637,ASCENSION CALUMET HOSPITAL,614 MEMORIAL DRIVE,CHILTON,WI,53014,CALUMET,(920) 849-2386,Critical Access Hospitals,Voluntary non-profit - Private
+34057,MERCY HOSPITAL,4050 COON RAPIDS BLVD,COON RAPIDS,MN,55433,ANOKA,(762) 236-8100,Acute Care Hospitals,Voluntary non-profit - Private
+79207,MEMORIAL HERMANN SURGICAL HOSPITAL KINGWOOD,300 KINGWOOD MEDICAL DRIVE,KINGWOOD,TX,77339,HARRIS,(281) 312-4000,Acute Care Hospitals,Proprietary
+77747,ST LUKE'S REGIONAL MEDICAL CENTER,190 EAST BANNOCK STREET,BOISE,ID,83712,ADA,(208) 381-2222,Acute Care Hospitals,Voluntary non-profit - Private
+77970,WEIRTON MEDICAL CENTER,601 COLLIERS WAY,WEIRTON,WV,26062,HANCOCK,(304) 797-6000,Acute Care Hospitals,Government - Local
+15113,ANMED HEALTH,800 N FANT ST,ANDERSON,SC,29621,ANDERSON,(864) 512-2830,Acute Care Hospitals,Voluntary non-profit - Private
+82649,ST MARY'S REGIONAL MEDICAL CENTER,305 SOUTH 5TH STREET,ENID,OK,73701,GARFIELD,(580) 233-6100,Acute Care Hospitals,Proprietary
+72837,RIVERVIEW BEHAVIORAL HEALTH,701 ARKANSAS BOULEVARD SUITE 300,TEXARKANA,AR,71854,MILLER,(870) 772-5028,Psychiatric,Proprietary
+63493,MCLAREN OAKLAND,50 N PERRY ST,PONTIAC,MI,48342,OAKLAND,(248) 338-5000,Acute Care Hospitals,Voluntary non-profit - Private
+32455,KAISER FOUNDATION HOSP SO SACRAMENTO,6600 BRUCEVILLE ROAD,SACRAMENTO,CA,95823,SACRAMENTO,(916) 688-2000,Acute Care Hospitals,Voluntary non-profit - Private
+21225,MORTON PLANT HOSPITAL,300 PINELLAS ST,CLEARWATER,FL,33756,PINELLAS,(727) 462-7000,Acute Care Hospitals,Voluntary non-profit - Private
+15080,LAWRENCE MEDICAL CENTER,202 HOSPITAL STREET,MOULTON,AL,35650,LAWRENCE,(256) 974-2200,Acute Care Hospitals,Government - Hospital District or Authority
+23400,PHELPS HEALTH,1000 W 10TH ST,ROLLA,MO,65401,PHELPS,(573) 458-8899,Acute Care Hospitals,Government - Local
+75882,PREVOST MEMORIAL HOSPITAL,301 MEMORIAL DR,DONALDSONVILLE,LA,70346,ASCENSION,(225) 474-2133,Critical Access Hospitals,Government - Hospital District or Authority
+53208,GIBSON COMMUNITY HOSPITAL,1120 N MELVIN STREET,GIBSON CITY,IL,60936,FORD,(217) 784-4251,Critical Access Hospitals,Voluntary non-profit - Private
+80539,MEDICAL CITY ALLIANCE,3101 NORTH TARRANT PARKWAY,FORT WORTH,TX,76177,TARRANT,(817) 639-1100,Acute Care Hospitals,Voluntary non-profit - Private
+27528,DELNOR COMMUNITY HOSPITAL,300 RANDALL RD,GENEVA,IL,60134,KANE,(630) 208-3000,Acute Care Hospitals,Voluntary non-profit - Private
+29535,SOUTH SHORE HOSPITAL,55 FOGG ROAD,SOUTH WEYMOUTH,MA,2190,NORFOLK,(781) 340-8000,Acute Care Hospitals,Voluntary non-profit - Private
+55824,UNIVERSITY OF WI  HOSPITALS & CLINICS AUTHORITY,600 HIGHLAND AVENUE,MADISON,WI,53792,DANE,(608) 261-0025,Acute Care Hospitals,Government - Hospital District or Authority
+48298,ASCENSION GOOD SAMARITAN HOSPITAL,601 S CENTER AVE,MERRILL,WI,54452,LINCOLN,(715) 536-5511,Critical Access Hospitals,Voluntary non-profit - Church
+82697,CARROLL COUNTY MEMORIAL HOSPITAL,309 ELEVENTH STREET,CARROLLTON,KY,41008,CARROLL,(502) 732-4321,Critical Access Hospitals,Voluntary non-profit - Private
+38610,SUNRISE HOSPITAL AND MEDICAL CENTER,3186 S MARYLAND PKWY,LAS VEGAS,NV,89109,CLARK,(702) 731-8000,Acute Care Hospitals,Proprietary
+94863,SUN BEHAVIORAL COLUMBUS,900 EAST DUBLIN GRANVILLE ROAD,COLUMBUS,OH,43229,FRANKLIN,(614) 706-2876,Psychiatric,Voluntary non-profit - Private
+88409,PROMEDICA HERRICK HOSPITAL,500 E POTTAWATAMIE STREET,TECUMSEH,MI,49286,LENAWEE,(517) 424-3000,Critical Access Hospitals,Government - Federal
+29645,WISHEK COMMUNITY HOSPITAL,1007 4TH AVE S,WISHEK,ND,58495,MCINTOSH,(701) 452-2326,Critical Access Hospitals,Government - Local
+35116,CHIPPEWA COUNTY HOSPITAL,824 NORTH 11TH STREET,MONTEVIDEO,MN,56265,CHIPPEWA,(320) 269-8877,Critical Access Hospitals,Government - Local
+28622,WRAY COMMUNITY DISTRICT HOSPITAL,1017 WEST 7TH ST,WRAY,CO,80758,YUMA,(970) 332-4811,Critical Access Hospitals,Government - Hospital District or Authority
+46352,ST VINCENT JENNINGS HOSPITAL INC,301 HENRY ST,NORTH VERNON,IN,47265,JENNINGS,(812) 352-4200,Critical Access Hospitals,Voluntary non-profit - Church
+73255,DIXIE REGIONAL MEDICAL CENTER,1380 EAST MEDICAL CENTER DRIVE,ST GEORGE,UT,84790,WASHINGTON,(435) 251-2100,Acute Care Hospitals,Voluntary non-profit - Private
+60458,"KANSAS SPINE & SPECIALTY HOSPITAL, LLC",3333 NORTH WEBB ROAD,WICHITA,KS,67226,SEDGWICK,(316) 462-5326,Acute Care Hospitals,Physician
+63339,PRESBYTERIAN ESPANOLA HOSPITAL,1010 SPRUCE STREET,ESPANOLA,NM,87532,RIO ARRIBA,(505) 753-1502,Acute Care Hospitals,Voluntary non-profit - Private
+91985,KAISER FOUNDATION HOSPITAL - WALNUT CREEK,1425 S MAIN STREET,WALNUT CREEK,CA,94596,CONTRA COSTA,(925) 295-4000,Acute Care Hospitals,Voluntary non-profit - Private
+72134,ST CHRISTOPHER'S HOSPITAL FOR CHILDREN,160 EAST ERIE AVE,PHILADELPHIA,PA,19134,PHILADELPHIA,(215) 427-5000,Childrens,Proprietary
+51329,TUG VALLEY ARH REGIONAL MEDICAL CENTER,260 HOSPITAL DRIVE,SOUTH WILLIAMSON,KY,41503,PIKE,(606) 237-1700,Acute Care Hospitals,Proprietary
+58680,MORRIS COUNTY HOSPITAL,600 N WASHINGTON ST,COUNCIL GROVE,KS,66846,MORRIS,(620) 767-6811,Critical Access Hospitals,Government - Local
+20296,AULTMAN ORRVILLE HOSPITAL,832 SOUTH MAIN STREET,ORRVILLE,OH,44667,WAYNE,(330) 682-3010,Critical Access Hospitals,Voluntary non-profit - Private
+83555,CASSIA REGIONAL HOSPITAL,1501 HILAND AVENUE,BURLEY,ID,83318,CASSIA,(208) 678-4444,Critical Access Hospitals,Voluntary non-profit - Private
+81148,HIGHLINE MEDICAL CENTER,16251 SYLVESTER ROAD SW,BURIEN,WA,98166,KING,(206) 244-9970,Acute Care Hospitals,Voluntary non-profit - Private
+68117,GLENDIVE MEDICAL CENTER,202 PROSPECT DR,GLENDIVE,MT,59330,DAWSON,(406) 345-3306,Critical Access Hospitals,Voluntary non-profit - Other
+70513,ANOKA-METRO REG TREATMENT CTR,3301 SEVENTH AVE NORTH,ANOKA,MN,55303,ANOKA,(651) 431-5003,Psychiatric,Government - State
+91395,WARREN GENERAL HOSPITAL,TWO CRESCENT PARK WEST,WARREN,PA,16365,WARREN,(814) 723-3300,Acute Care Hospitals,Voluntary non-profit - Private
+81964,LAKE PINES HOSPITAL,3639 LOYOLA AVENUE,KENNER,LA,70065,JEFFERSON,(504) 305-2700,Psychiatric,Proprietary
+48946,NOVANT HEALTH BRUNSWICK MEDICAL CENTER,1 MEDICAL CENTER DR  PO BOX 139,SUPPLY,NC,28462,BRUNSWICK,(910) 755-8121,Acute Care Hospitals,Voluntary non-profit - Other
+11035,SAINT JOSEPH HOSPITAL,1375 E 19TH AVE,DENVER,CO,80218,DENVER,(303) 812-2000,Acute Care Hospitals,Voluntary non-profit - Private
+80670,"OAKWOOD SPRINGS, LLC",13101 MEMORIAL SPRINGS CT,OKLAHOMA CITY,OK,73114,OKLAHOMA,(405) 438-3000,Psychiatric,Proprietary
+61794,SOUTHWEST HEALTH CENTER,1400 EAST SIDE RD,PLATTEVILLE,WI,53818,GRANT,(608) 348-2331,Critical Access Hospitals,Voluntary non-profit - Private
+51874,EMORY JOHNS CREEK HOSPITAL,6325 HOSPITAL PARKWAY,JOHNS CREEK,GA,30097,GWINNETT,(678) 474-7000,Acute Care Hospitals,Proprietary
+72550,GUADALUPE COUNTY HOSPITAL,"117 CAMINO DE VIDA, SUITE 100",SANTA ROSA,NM,88435,GUADALUPE,(575) 472-3417,Acute Care Hospitals,Government - Local
+38811,THE CENTER FOR FORENSIC PSYCHIATRY,8303 PLATT ROAD,SALINE,MI,48176,WASHTENAW,(734) 429-2531,Psychiatric,Government - State
+22501,UNIVERSITY PEDIATRIC HOSPITAL,PUERTO RICO MEDICAL CENTER IN RIO PIEDRAS,SAN JUAN,PR,935,SAN JUAN,(787) 777-3232,Childrens,Government - State
+84406,CONCORD HOSPITAL,250 PLEASANT ST,CONCORD,NH,3301,MERRIMACK,(603) 225-2711,Acute Care Hospitals,Voluntary non-profit - Private
+28983,FAIRBANKS,8102 CLEARVISTA PARKWAY,INDIANAPOLIS,IN,46256,MARION,(317) 849-8222,Acute Care Hospitals,Voluntary non-profit - Private
+61682,WEST JEFFERSON MEDICAL CENTER,1101 MEDICAL CENTER BLVD,MARRERO,LA,70072,JEFFERSON,(504) 347-5511,Acute Care Hospitals,Voluntary non-profit - Private
+78757,AURORA VISTA DEL MAR HOSPITAL,801 SENECA ST,VENTURA,CA,93001,VENTURA,(805) 653-6434,Psychiatric,Proprietary
+84853,KIOWA DISTRICT HOSPITAL,1002 SOUTH 4TH STREET,KIOWA,KS,67070,BARBER,(620) 825-4131,Critical Access Hospitals,Government - Hospital District or Authority
+83318,FIRST CARE HEALTH CENTER,115 VIVIAN ST,PARK RIVER,ND,58270,WALSH,(701) 284-7500,Critical Access Hospitals,Voluntary non-profit - Private
+20224,LIFESTREAM BEHAVIORAL CENTER,2020 TALLY RD,LEESBURG,FL,34748,LAKE,(352) 315-7800,Psychiatric,Voluntary non-profit - Private
+45746,JEFFERSON COUNTY HEALTH CENTER,2000 S MAIN,FAIRFIELD,IA,52556,JEFFERSON,(641) 472-4111,Critical Access Hospitals,Government - Local
+57576,KALKASKA MEMORIAL HEALTH CENTER,419 S CORAL,KALKASKA,MI,49646,KALKASKA,(231) 258-7500,Critical Access Hospitals,Government - Hospital District or Authority
+85184,ADVENTIST HEALTH HOWARD MEMORIAL,1 MARCELA DR,WILLITS,CA,95490,MENDOCINO,(707) 456-3031,Critical Access Hospitals,Voluntary non-profit - Church
+45846,BAYLOR SCOTT &  WHITE MEDICAL CENTER - CENTENNIAL,12505 LEBANON ROAD,FRISCO,TX,75035,COLLIN,(972) 963-3333,Acute Care Hospitals,Voluntary non-profit - Other
+94271,ST LUKE'S THE WOODLANDS HOSPITAL,17200 ST LUKE'S WAY,THE WOODLANDS,TX,77384,MONTGOMERY,(936) 266-4050,Acute Care Hospitals,Voluntary non-profit - Private
+62307,PEACEHEALTH ST JOHN MEDICAL CENTER,1615 DELAWARE STREET,LONGVIEW,WA,98632,COWLITZ,(360) 414-2000,Acute Care Hospitals,Voluntary non-profit - Church
+87897,LAS PALMAS MEDICAL CENTER,1801 NORTH OREGON STREET,EL PASO,TX,79902,EL PASO,(915) 521-1200,Acute Care Hospitals,Proprietary
+42867,UNITED HOSPITAL DISTRICT,"515 SOUTH MOORE STREET, PO BOX 160",BLUE EARTH,MN,56013,FARIBAULT,(507) 526-3273,Critical Access Hospitals,Government - Hospital District or Authority
+63666,MARSHALL COUNTY HEALTHCARE CENTER - CAH,413 9TH STREET,BRITTON,SD,57430,MARSHALL,(605) 448-2253,Critical Access Hospitals,Proprietary
+18843,CAPE FEAR VALLEY MEDICAL CENTER,1638 OWEN DRIVE P O BOX 2000,FAYETTEVILLE,NC,28302,CUMBERLAND,(910) 609-4000,Acute Care Hospitals,Voluntary non-profit - Private
+89569,WAUKESHA COUNTY MENTAL HEALTH CTR,1501 AIRPORT RD,WAUKESHA,WI,53188,WAUKESHA,(262) 548-7950,Psychiatric,Government - Local
+52141,SAINT ALPHONSUS REGIONAL MEDICAL CENTER,1055 NORTH CURTIS ROAD,BOISE,ID,83706,ADA,(208) 367-2121,Acute Care Hospitals,Voluntary non-profit - Church
+28217,HUNTSVILLE MEMORIAL HOSPITAL,110 MEMORIAL HOSPITAL DRIVE,HUNTSVILLE,TX,77340,WALKER,(936) 291-3411,Acute Care Hospitals,Voluntary non-profit - Private
+20282,NORTHWEST MEDICAL CENTER,6200 NORTH LA CHOLLA BOULEVARD,TUCSON,AZ,85741,PIMA,(520) 469-8100,Acute Care Hospitals,Proprietary
+57008,OSF SAINT ANTHONY'S HEALTH CENTER,ST ANTHONY'S WAY,ALTON,IL,62002,MADISON,(618) 465-2571,Acute Care Hospitals,Voluntary non-profit - Church
+28313,PERSHING GENERAL HOSPITAL,855 6TH STREET/PO BOX 661,LOVELOCK,NV,89419,PERSHING,(775) 273-2621,Critical Access Hospitals,Government - Hospital District or Authority
+94636,ADVOCATE CONDELL MEDICAL CENTER,801 S MILWAUKEE AVE,LIBERTYVILLE,IL,60048,LAKE,(847) 362-2900,Acute Care Hospitals,Voluntary non-profit - Private
+73979,"WALDEN BEHAVIORAL CARE, LLC",9 HOPE AVENUE,WALTHAM,MA,2453,MIDDLESEX,(781) 647-6727,Psychiatric,Government - Federal
+44683,TYLER COUNTY HOSPITAL,1100 WEST BLUFF,WOODVILLE,TX,75979,TYLER,(409) 283-8141,Acute Care Hospitals,Government - Hospital District or Authority
+62421,INTRACARE NORTH HOSPITAL,1120 CYPRESS STATION DR,HOUSTON,TX,77090,HARRIS,(281) 893-7200,Psychiatric,Voluntary non-profit - Private
+29602,OAKLAWN HOSPITAL,200 N MADISON,MARSHALL,MI,49068,CALHOUN,(269) 781-4271,Acute Care Hospitals,Voluntary non-profit - Other
+38046,CASA COLINA HOSPITAL,255 E BONITA AVE,POMONA,CA,91767,LOS ANGELES,(909) 596-7733,Acute Care Hospitals,Voluntary non-profit - Private
+91309,SUN BEHAVIORAL HEALTH,820 DOLWICK DRIVE,ERLANGER,KY,41018,KENTON,(859) 429-5188,Psychiatric,Voluntary non-profit - Private
+68781,NORTHERN ROCKIES MEDICAL CENTER,802 2ND ST SE,CUT BANK,MT,59427,GLACIER,(406) 873-2251,Critical Access Hospitals,Voluntary non-profit - Private
+86195,SEBASTICOOK VALLEY HEALTH,447 NORTH MAIN STREET,PITTSFIELD,ME,4967,SOMERSET,(207) 487-5141,Critical Access Hospitals,Voluntary non-profit - Private
+53373,REID HEALTH,1100 REID PKWY,RICHMOND,IN,47374,WAYNE,(765) 983-3000,Acute Care Hospitals,Voluntary non-profit - Private
+66384,"NORTH OAKS MEDICAL CENTER, L L C",15790 PAUL VEGA MD DRIVE,HAMMOND,LA,70403,TANGIPAHOA,(985) 345-2700,Acute Care Hospitals,Government - Hospital District or Authority
+29850,MUNSON HEALTHCARE CADILLAC HOSPITAL,400 HOBART ST,CADILLAC,MI,49601,WEXFORD,(231) 876-7200,Acute Care Hospitals,Voluntary non-profit - Church
+51099,NORTHSIDE HOSPITAL CHEROKEE,450 NORTHSIDE CHEROKEE BOULEVARD,CANTON,GA,30115,CHEROKEE,(770) 244-1000,Acute Care Hospitals,Voluntary non-profit - Other
+82823,MISSOURI BAPTIST MEDICAL CENTER,3015 N BALLAS RD,TOWN AND COUNTRY,MO,63131,ST. LOUIS,(314) 996-5000,Acute Care Hospitals,Voluntary non-profit - Private
+87627,DOCTORS CENTER HOSPITAL BAYAMON,9 J STREET EXT HERMANAS DAVILA,BAYAMON,PR,959,BAYAMON,(787) 622-5420,Acute Care Hospitals,Proprietary
+70086,EVERGREENHEALTH MONROE,14701 179TH SE,MONROE,WA,98272,SNOHOMISH,(360) 794-7497,Acute Care Hospitals,Government - Hospital District or Authority
+72914,MAJOR HOSPITAL,2451 INTELLIPLEX DR,SHELBYVILLE,IN,46176,SHELBY,(317) 392-3211,Acute Care Hospitals,Government - Local
+73381,WINSTON MEDICAL CENTER & SWINGBED,17550 EAST MAIN STREET,LOUISVILLE,MS,39339,WINSTON,(662) 779-5124,Acute Care Hospitals,Proprietary
+14501,HIGHLANDS REGIONAL MEDICAL CENTER,3600 S HIGHLANDS AVE,SEBRING,FL,33870,HIGHLANDS,(863) 385-6101,Acute Care Hospitals,Proprietary
+59194,LAWRENCE MEMORIAL HOSPITAL,325 MAINE STREET,LAWRENCE,KS,66044,DOUGLAS,(785) 505-6100,Acute Care Hospitals,Government - Local
+92865,FLOYD CHEROKEE MEDICAL CENTER,400 NORTHWOOD DR,CENTRE,AL,35960,CHEROKEE,(256) 927-5531,Acute Care Hospitals,Voluntary non-profit - Private
+64911,SOUTH COUNTY HOSPITAL INC,100 KENYON AVE,WAKEFIELD,RI,2879,WASHINGTON,(401) 782-8020,Acute Care Hospitals,Voluntary non-profit - Private
+55071,TYRONE REGIONAL HEALTH NETWORK,187 HOSPITAL DRIVE,TYRONE,PA,16686,BLAIR,(814) 684-1255,Critical Access Hospitals,Voluntary non-profit - Private
+34556,RIVERSIDE DOCTORS' HOSPITAL OF WILLIAMSBURG,1500 COMMONWEALTH AVENUE,WILLIAMSBURG,VA,23185,JAMES CITY,(757) 345-3000,Acute Care Hospitals,Voluntary non-profit - Private
+11883,GLENS FALLS HOSPITAL,100 PARK STREET,GLENS FALLS,NY,12801,WARREN,(518) 926-1000,Acute Care Hospitals,Voluntary non-profit - Private
+57290,HCA HOUSTON HEALTHCARE NORTHWEST,710 CYPRESS CREEK PARKWAY,HOUSTON,TX,77090,HARRIS,(281) 440-1000,Acute Care Hospitals,Proprietary
+46682,VALLEY WEST COMMUNITY HOSPITAL,1301 NORTH MAIN STREET,SANDWICH,IL,60548,DE KALB,(815) 786-8484,Critical Access Hospitals,Voluntary non-profit - Private
+15843,SENTARA ALBEMARLE MEDICAL CENTER,1144 N ROAD ST,ELIZABETH CITY,NC,27909,PASQUOTANK,(252) 335-0531,Acute Care Hospitals,Government - Hospital District or Authority
+69319,FRANCISCAN HEALTH DYER,24 JOLIET ST,DYER,IN,46311,LAKE,(219) 865-2141,Acute Care Hospitals,Voluntary non-profit - Church
+65311,ST ANTHONY SUMMIT MEDICAL CENTER,340 PEAK ONE DRIVE,FRISCO,CO,80443,SUMMIT,(970) 668-3300,Acute Care Hospitals,Voluntary non-profit - Church
+66290,HCA HOUSTON HEALTHCARE SOUTHEAST,4000 SPENCER HWY,PASADENA,TX,77504,HARRIS,(713) 359-1000,Acute Care Hospitals,Proprietary
+51953,EVERGREEN MEDICAL CENTER,101 CRESTVIEW AVENUE,EVERGREEN,AL,36401,CONECUH,(251) 578-2480,Acute Care Hospitals,Proprietary
+77698,SANFORD ABERDEEN MEDICAL CENTER,2905 3RD AVE SE,ABERDEEN,SD,57402,BROWN,(605) 626-4200,Acute Care Hospitals,Voluntary non-profit - Private
+65007,MCLEOD HEALTH CHERAW,711 CHESTERFIELD HIGHWAY,CHERAW,SC,29520,CHESTERFIELD,(843) 537-7881,Acute Care Hospitals,Voluntary non-profit - Private
+18755,OAKLAWN PSYCHIATRIC CENTER INC,330 LAKEVIEW DR,GOSHEN,IN,46527,ELKHART,(574) 533-1234,Psychiatric,Voluntary non-profit - Private
+64653,BANNER GATEWAY MEDICAL CENTER,1900 NORTH HIGLEY ROAD,GILBERT,AZ,85234,MARICOPA,(480) 543-2000,Acute Care Hospitals,Voluntary non-profit - Other
+14938,NORTHSIDE HOSPITAL GWINNETT,1000 MEDICAL CENTER BOULEVARD,LAWRENCEVILLE,GA,30045,GWINNETT,(678) 312-1000,Acute Care Hospitals,Government - Hospital District or Authority
+14600,"PIEDMONT NEWNAN HOSPITAL, INC",745 POPLAR ROAD,NEWNAN,GA,30265,COWETA,(770) 400-2300,Acute Care Hospitals,Voluntary non-profit - Private
+13163,VENTURA COUNTY MEDICAL CENTER,300 HILLMONT AVENUE,VENTURA,CA,93003,VENTURA,(805) 652-6075,Acute Care Hospitals,Government - Local
+85244,NORTH VALLEY HEALTH CENTER,300 WEST GOOD SAMARITAN DRIVE,WARREN,MN,56762,MARSHALL,(218) 745-4211,Critical Access Hospitals,Voluntary non-profit - Private
+63577,SCHLEICHER COUNTY MEDICAL CENTER,102 NORTH US HIGHWAY 277,ELDORADO,TX,76936,SCHLEICHER,(325) 853-2507,Critical Access Hospitals,Proprietary
+31158,MERCY WALWORTH HOSPITAL & MEDICAL CENTER,N2950 STATE ROAD 67,LAKE GENEVA,WI,53147,WALWORTH,(262) 245-0535,Critical Access Hospitals,Voluntary non-profit - Private
+63767,GOLDEN PLAINS COMMUNITY HOSPITAL,100 MEDICAL DRIVE,BORGER,TX,79007,HUTCHINSON,(806) 273-1100,Critical Access Hospitals,Proprietary
+29252,MANNING REGIONAL HEALTHCARE CENTER,1550 SIXTH STREET,MANNING,IA,51455,CARROLL,(712) 655-2072,Critical Access Hospitals,Voluntary non-profit - Private
+44330,LOGAN COUNTY HOSPITAL,211 CHERRY AVENUE,OAKLEY,KS,67748,LOGAN,(785) 672-3211,Critical Access Hospitals,Government - Local
+51615,ST MARY'S GENERAL HOSPITAL,350 BOULEVARD,PASSAIC,NJ,7055,PASSAIC,(973) 365-4300,Acute Care Hospitals,Proprietary
+69784,CHI HEALTH ST FRANCIS,2620 WEST FAIDLEY AVE,GRAND ISLAND,NE,68803,HALL,(308) 384-4600,Acute Care Hospitals,Voluntary non-profit - Church
+45091,NORTH VISTA HOSPITAL,1409 EAST LAKE MEAD BLVD,NORTH LAS VEGAS,NV,89030,CLARK,(702) 657-5504,Acute Care Hospitals,Voluntary non-profit - Private
+61209,GOLDEN VALLEY MEMORIAL HOSPITAL,1600 N 2ND ST,CLINTON,MO,64735,HENRY,(660) 885-5511,Acute Care Hospitals,Government - Hospital District or Authority
+35851,DOCTORS MEMORIAL HOSPITAL,2600 HOSPITAL DR,BONIFAY,FL,32425,HOLMES,(850) 547-1120,Critical Access Hospitals,Government - Hospital District or Authority
+29434,LAKE REGIONAL HEALTH SYSTEM,54 HOSPITAL DRIVE,OSAGE BEACH,MO,65065,CAMDEN,(573) 348-8000,Acute Care Hospitals,Voluntary non-profit - Other
+66661,CLARION HOSPITAL,ONE HOSPITAL DRIVE,CLARION,PA,16214,CLARION,(814) 226-9500,Acute Care Hospitals,Voluntary non-profit - Other
+45947,SANFORD CANTON-INWOOD MEDICAL CENTER - CAH,440 NORTH HIAWATHA DRIVE,CANTON,SD,57013,LINCOLN,(605) 764-1400,Critical Access Hospitals,Voluntary non-profit - Private
+89806,MAHASKA  HEALTH PARTNERSHIP,1229 C AVENUE EAST,OSKALOOSA,IA,52577,MAHASKA,(641) 672-3100,Critical Access Hospitals,Government - Local
+36853,STERLING SURGICAL HOSPITAL,989 ROBERT BLVD,SLIDELL,LA,70458,ST. TAMMANY,(504) 690-8200,Acute Care Hospitals,Proprietary
+51171,SANFORD USD MEDICAL CENTER,1305 W 18TH ST  POST OFFICE BOX 5039,SIOUX FALLS,SD,57117,MINNEHAHA,(605) 333-1000,Acute Care Hospitals,Voluntary non-profit - Private
+42776,PARKWEST MEDICAL CENTER,9352 PARK WEST BLVD,KNOXVILLE,TN,37923,KNOX,(865) 970-9800,Acute Care Hospitals,Voluntary non-profit - Private
+72657,PHELPS MEMORIAL HEALTH CENTER,1215 TIBBALS ST,HOLDREGE,NE,68949,PHELPS,(308) 995-2211,Critical Access Hospitals,Voluntary non-profit - Private
+55342,GROSSMONT HOSPITAL,5555 GROSSMONT CENTER DRIVE BOX 58,LA MESA,CA,91942,SAN DIEGO,(619) 465-0711,Acute Care Hospitals,Government - Hospital District or Authority
+76515,WAYNE MEMORIAL HOSPITAL,601 PARK STREET,HONESDALE,PA,18431,WAYNE,(570) 253-8100,Acute Care Hospitals,Voluntary non-profit - Private
+73108,JEFFERSON STRATFORD HOSPITAL,18 EAST LAUREL ROAD,STRATFORD,NJ,8084,CAMDEN,(856) 346-7802,Acute Care Hospitals,Voluntary non-profit - Private
+25289,KERN MEDICAL CENTER,1700 MOUNT VERNON AVENUE,BAKERSFIELD,CA,93306,KERN,(661) 326-2000,Acute Care Hospitals,Government - Hospital District or Authority
+56144,ANAHEIM GLOBAL MEDICAL CENTER,1025 S ANAHEIM BLVD,ANAHEIM,CA,92805,ORANGE,(714) 533-6220,Acute Care Hospitals,Proprietary
+94677,NORTHWEST COMMUNITY HOSPITAL 1,800 W CENTRAL ROAD,ARLINGTON HEIGHTS,IL,60005,COOK,(847) 618-1000,Acute Care Hospitals,Voluntary non-profit - Private
+11418,UPMC CHAUTAUQUA AT WCA,207 FOOTE AVENUE,JAMESTOWN,NY,14701,CHAUTAUQUA,(716) 487-0141,Acute Care Hospitals,Voluntary non-profit - Private
+91577,WEBSTER COUNTY MEMORIAL HOSPITAL,324 MILLER MOUNTAIN DRIVE,WEBSTER SPRINGS,WV,26288,WEBSTER,(304) 847-5682,Critical Access Hospitals,Government - Local
+48949,KAISER FOUNDATION HOSPITAL - SAN LEANDRO,2500 MERCED STREET,SAN LEANDRO,CA,94577,ALAMEDA,(510) 454-1000,Acute Care Hospitals,Voluntary non-profit - Private
+33106,GOTHENBURG MEMORIAL HOSPITAL,910 20TH ST,GOTHENBURG,NE,69138,DAWSON,(308) 537-3661,Critical Access Hospitals,Government - Hospital District or Authority
+55821,OUR LADY OF BELLEFONTE HOSPITAL,1000 SAINT CHRISTOPHER DRIVE,ASHLAND,KY,41101,BOYD,(606) 833-3600,Acute Care Hospitals,Voluntary non-profit - Private
+68878,FALLON MEDICAL COMPLEX HOSPITAL,202 S 4TH ST W,BAKER,MT,59313,FALLON,(406) 778-3331,Critical Access Hospitals,Voluntary non-profit - Private
+38999,MT SINAI HOSPITAL MEDICAL CENTER,15TH STREET AT CALIFORNIA,CHICAGO,IL,60608,COOK,(773) 542-2000,Acute Care Hospitals,Voluntary non-profit - Private
+72059,VASSAR BROTHERS MEDICAL CENTER,45 READE PLACE,POUGHKEEPSIE,NY,12601,DUTCHESS,(845) 454-8500,Acute Care Hospitals,Voluntary non-profit - Private
+39212,"WASHINGTON HOSPITAL, THE",155 WILSON AVENUE,WASHINGTON,PA,15301,WASHINGTON,(724) 225-7000,Acute Care Hospitals,Voluntary non-profit - Private
+86792,JACKSON GENERAL HOSPITAL,122 PINNELL ST,RIPLEY,WV,25271,JACKSON,(304) 372-2731,Critical Access Hospitals,Voluntary non-profit - Other
+12275,INTERMOUNTAIN MEDICAL CENTER,5121 SOUTH COTTONWOOD STREET,MURRAY,UT,84107,SALT LAKE,(801) 507-7000,Acute Care Hospitals,Voluntary non-profit - Private
+68402,JEROLD PHELPS COMMUNITY HOSPITAL,733 CEDAR ST,GARBERVILLE,CA,95542,HUMBOLDT,(707) 923-3921,Critical Access Hospitals,Government - Hospital District or Authority
+90358,SUMMA HEALTH SYSTEM,525 EAST MARKET STREET,AKRON,OH,44309,SUMMIT,(330) 375-3000,Acute Care Hospitals,Voluntary non-profit - Private
+50236,DANIELS MEMORIAL HOSPITAL,105 5TH AVE E,SCOBEY,MT,59263,DANIELS,(406) 487-2296,Critical Access Hospitals,Voluntary non-profit - Private
+53311,SOUTHEASTERN REGIONAL MEDICAL CENTER,300 W 27 ST  PO BOX 1408,LUMBERTON,NC,28359,ROBESON,(910) 671-5000,Acute Care Hospitals,Voluntary non-profit - Private
+25122,BANNER - UNIVERSITY MEDICAL CENTER TUCSON CAMPUS,1625 NORTH CAMPBELL AVENUE,TUCSON,AZ,85724,PIMA,(520) 874-4189,Acute Care Hospitals,Voluntary non-profit - Private
+93945,SUTTER AUBURN FAITH HOSPITAL,11815 EDUCATION STREET,AUBURN,CA,95603,PLACER,(530) 888-4500,Acute Care Hospitals,Voluntary non-profit - Private
+60436,LITTLETON REGIONAL HEALTHCARE,600 ST JOHNSBURY ROAD,LITTLETON,NH,3561,GRAFTON,(603) 444-9000,Critical Access Hospitals,Voluntary non-profit - Private
+46408,WALKER BAPTIST MEDICAL CENTER,3400 HIGHWAY 78 EAST,JASPER,AL,35502,WALKER,(205) 387-4000,Acute Care Hospitals,Voluntary non-profit - Private
+67782,BOSTON CHILDREN'S HOSPITAL,300 LONGWOOD AVENUE,BOSTON,MA,2115,SUFFOLK,(617) 735-6000,Childrens,Voluntary non-profit - Private
+47344,MEDICAL ARTS HOSPITAL,2200 N BRYAN AVE,LAMESA,TX,79331,DAWSON,(806) 872-2183,Acute Care Hospitals,Government - Hospital District or Authority
+12130,EMMA PENDLETON BRADLEY HOSPITAL,1011 VETERANS MEMORIAL PARKWAY,EAST PROVIDENCE,RI,2915,PROVIDENCE,(401) 432-1000,Psychiatric,Voluntary non-profit - Private
+45994,ADVENTHEALTH CARROLLWOOD,7171 N DALE MABRY HWY,TAMPA,FL,33614,HILLSBOROUGH,(813) 932-2222,Acute Care Hospitals,Voluntary non-profit - Church
+78247,SINGING RIVER HEALTH SYSTEM,2809 DENNY AV,PASCAGOULA,MS,39581,JACKSON,(228) 809-5000,Acute Care Hospitals,Government - Local
+63083,REGIONAL HEALTH CUSTER HOSPITAL,1220 MONTGOMERY STREET,CUSTER,SD,57730,CUSTER,(605) 673-9400,Critical Access Hospitals,Voluntary non-profit - Private
+89670,HANSFORD COUNTY HOSPITAL,707 ROLAND ST,SPEARMAN,TX,79081,HANSFORD,(806) 659-2535,Critical Access Hospitals,Government - Hospital District or Authority
+12848,GRANVILLE HEALTH SYSTEMS,1010 COLLEGE ST,OXFORD,NC,27565,GRANVILLE,(919) 690-3000,Acute Care Hospitals,Government - Local
+60995,HIMA SAN PABLO BAYAMON,70 CALLE SANTA CRUZ,BAYAMON,PR,961,BAYAMON,(787) 620-4747,Acute Care Hospitals,Proprietary
+82727,METHODIST DALLAS MEDICAL CENTER,1441 NORTH BECKLEY AVENUE,DALLAS,TX,75203,DALLAS,(214) 947-2879,Acute Care Hospitals,Voluntary non-profit - Other
+37619,LAYTON HOSPITAL,201 WEST LAYTON PARKWAY,LAYTON,UT,84041,DAVIS,(801) 543-6703,Acute Care Hospitals,Voluntary non-profit - Private
+23154,LINDNER CENTER OF HOPE,4075 OLD WESTERN ROW ROAD,MASON,OH,45040,WARREN,(513) 536-4673,Psychiatric,Voluntary non-profit - Private
+22025,CLEVELAND CLINIC MARTIN NORTH HOSPITAL,200 SE HOSPITAL AVE,STUART,FL,34995,MARTIN,(772) 287-5200,Acute Care Hospitals,Voluntary non-profit - Private
+19056,CRESTWYN BEHAVIORAL HEALTH,9485 CRESTWYN HILLS COVE,MEMPHIS,TN,38125,SHELBY,(901) 457-5667,Psychiatric,Proprietary
+37324,ST BARNABAS HOSPITAL,4422 THIRD AVENUE,BRONX,NY,10457,BRONX,(212) 960-9000,Acute Care Hospitals,Voluntary non-profit - Private
+10508,CARIBOU MEMORIAL HOSPITAL,300 SOUTH 3RD WEST,SODA SPRINGS,ID,83276,CARIBOU,(208) 547-3341,Critical Access Hospitals,Government - Local
+65617,REBOUND BEHAVIORAL HEALTH,134 EAST REBOUND ROAD,LANCASTER,SC,29720,LANCASTER,(803) 313-3700,Psychiatric,Proprietary
+55399,LAKEWOOD RANCH MEDICAL CENTER,8330 LAKEWOOD RANCH BLVD,BRADENTON,FL,34202,MANATEE,(941) 782-2100,Acute Care Hospitals,Proprietary
+83428,METHODIST JENNIE EDMUNDSON,933 EAST PIERCE STREET,COUNCIL BLUFFS,IA,51503,POTTAWATTAMIE,(712) 396-6000,Acute Care Hospitals,Voluntary non-profit - Private
+65397,GREAT PLAINS HEALTH,601 WEST LEOTA ST,NORTH PLATTE,NE,69101,LINCOLN,(308) 696-8000,Acute Care Hospitals,Voluntary non-profit - Private
+51685,MIDWEST SURGICAL HOSPITAL LLC,7915 FARNAM DRIVE,OMAHA,NE,68114,DOUGLAS,(402) 399-1900,Acute Care Hospitals,Physician
+77667,NEW YORK-PRESBYTERIAN/QUEENS,56-45 MAIN STREET,FLUSHING,NY,11355,QUEENS,(718) 670-2000,Acute Care Hospitals,Voluntary non-profit - Private
+23280,THE MEDICAL CENTER AT FRANKLIN,1100 BROOKHAVEN ROAD,FRANKLIN,KY,42135,SIMPSON,(270) 598-4800,Critical Access Hospitals,Voluntary non-profit - Private
+68270,MAYO CLINIC HEALTH SYSTEM - RED WING,"701 HEWITT BOULEVARD, PO BOX 95",RED WING,MN,55066,GOODHUE,(651) 267-5000,Acute Care Hospitals,Voluntary non-profit - Private
+32730,MCCAMEY HOSPITAL,2500 HWY 305 SOUTH,MCCAMEY,TX,79752,UPTON,(432) 652-8626,Critical Access Hospitals,Government - Hospital District or Authority
+92514,"UNITED HEALTH SERVICES HOSPITALS, INC",10-42 MITCHELL AVENUE,BINGHAMTON,NY,13903,BROOME,(607) 763-6000,Acute Care Hospitals,Voluntary non-profit - Private
+69024,JACKSON MEMORIAL HOSPITAL,1611 NW 12TH AVE,MIAMI,FL,33136,MIAMI-DADE,(305) 585-1111,Acute Care Hospitals,Government - Hospital District or Authority
+19228,EXCELSIOR SPRINGS HOSPITAL,1700 RAINBOW BOULEVARD,EXCELSIOR SPRINGS,MO,64024,CLAY,(816) 630-6081,Critical Access Hospitals,Government - Local
+80604,ST JOSEPH MEMORIAL HOSPITAL,2 SOUTH HOSPITAL DRIVE,MURPHYSBORO,IL,62966,JACKSON,(618) 684-3156,Critical Access Hospitals,Voluntary non-profit - Private
+60779,RICHARDSON MEDICAL CENTER,254 HIGHWAY 3048,RAYVILLE,LA,71269,RICHLAND,(318) 728-4181,Acute Care Hospitals,Government - Hospital District or Authority
+36189,ATRIUM HEALTH UNION,600 HOSPITAL DR,MONROE,NC,28112,UNION,(704) 283-3100,Acute Care Hospitals,Government - Hospital District or Authority
+85210,OSMOND GENERAL HOSPITAL,"P O BOX 429, 402 NORTH MAPLE ST",OSMOND,NE,68765,PIERCE,(402) 748-3393,Critical Access Hospitals,Voluntary non-profit - Private
+59086,HELENA REGIONAL MEDICAL CENTER,1801 MARTIN LUTHER KING JR DRIVE,HELENA,AR,72342,PHILLIPS,(870) 338-5800,Acute Care Hospitals,Proprietary
+47808,PACIFICA HOSPITAL OF THE VALLEY,9449 SAN FERNANDO RD,SUN VALLEY,CA,91352,LOS ANGELES,(818) 767-3310,Acute Care Hospitals,Proprietary
+52734,CHI ST. VINCENT HOSPITAL HOT SPRINGS,300 WERNER STREET,HOT SPRINGS,AR,71903,GARLAND,(501) 622-1000,Acute Care Hospitals,Voluntary non-profit - Church
+16983,SAKAKAWEA MEDICAL CENTER - CAH,510 8TH AVENUE NE,HAZEN,ND,58545,MERCER,(701) 748-2225,Critical Access Hospitals,Voluntary non-profit - Private
+31556,LANCASTER GENERAL HOSPITAL,555 NORTH DUKE STREET,LANCASTER,PA,17604,LANCASTER,(717) 299-5511,Acute Care Hospitals,Voluntary non-profit - Other
+54500,FREESTONE MEDICAL CENTER,125 NEWMAN ST,FAIRFIELD,TX,75840,FREESTONE,(903) 389-1612,Acute Care Hospitals,Government - Hospital District or Authority
+16939,SYCAMORE SHOALS HOSPITAL,1501 WEST ELK AVENUE,ELIZABETHTON,TN,37643,CARTER,(423) 542-1300,Acute Care Hospitals,Voluntary non-profit - Private
+11966,SUMNER REGIONAL MEDICAL CENTER,555 HARTSVILLE PIKE,GALLATIN,TN,37066,SUMNER,(615) 452-4210,Acute Care Hospitals,Proprietary
+68885,HODGEMAN COUNTY HEALTH CENTER,809 BRAMLEY,JETMORE,KS,67854,HODGEMAN,(620) 357-8361,Critical Access Hospitals,Government - Local
+45276,POMERENE HOSPITAL,981 WOOSTER ROAD,MILLERSBURG,OH,44654,HOLMES,(330) 674-1015,Acute Care Hospitals,Government - Local
+12481,CIBOLA GENERAL HOSPITAL,1016 E ROOSEVELT AVENUE,GRANTS,NM,87020,CIBOLA,(505) 287-5300,Critical Access Hospitals,Government - Local
+66350,GRIMES ST JOSEPH HEALTH CENTER,210 JUDSON ST,NAVASOTA,TX,77868,GRIMES,(936) 825-6585,Critical Access Hospitals,Voluntary non-profit - Church
+74053,CRYSTAL CLINIC ORTHOPAEDIC CENTER,444 NORTH MAIN STREET,AKRON,OH,44310,SUMMIT,(330) 670-4118,Acute Care Hospitals,Proprietary
+92993,JULIAN F KEITH ALCOHOL & DRUG ABUSE TX,201 TABERNACLE ROAD,BLACK MOUNTAIN,NC,28711,BUNCOMBE,(828) 669-3402,Psychiatric,Government - State
+75504,BUFFALO HOSPITAL,303 CATLIN ST,BUFFALO,MN,55313,WRIGHT,(763) 682-1212,Acute Care Hospitals,Voluntary non-profit - Other
+84150,PLUMAS DISTRICT HOSPITAL,1065 BUCKS LAKE ROAD,QUINCY,CA,95971,PLUMAS,(530) 283-2121,Critical Access Hospitals,Government - Hospital District or Authority
+36810,OCHSNER MEDICAL CENTER-HANCOCK,149 DRINKWATER BLVD,BAY SAINT LOUIS,MS,39520,HANCOCK,(228) 467-8600,Acute Care Hospitals,Government - Local
+44936,THREE RIVERS MEDICAL CENTER,2485 HIGHWAY 644,LOUISA,KY,41230,LAWRENCE,(606) 638-9451,Acute Care Hospitals,Proprietary
+55608,TITUS REGIONAL MEDICAL CENTER,2001 N JEFFERSON,MOUNT PLEASANT,TX,75455,TITUS,(903) 577-6000,Acute Care Hospitals,Government - Hospital District or Authority
+36366,CENTRO DE SALUD CONDUCTUAL MENONITA-CIMA,CARR ESTATAL 14 INTERIOR SARGENTO GERARDO SANTIAGO,AIBONITO,PR,705,AIBONITO,(787) 714-2462,Psychiatric,Voluntary non-profit - Private
+12615,"GOOD HOPE HOSPITAL, INC",410 DENIM DRIVE,ERWIN,NC,28339,HARNETT,(910) 230-4011,Psychiatric,Voluntary non-profit - Private
+26301,PEKIN MEMORIAL HOSPITAL,600 SOUTH 13TH STREET,PEKIN,IL,61554,TAZEWELL,(309) 347-1151,Acute Care Hospitals,Voluntary non-profit - Private
+79277,HAWARDEN REGIONAL HEALTHCARE,1111 11TH STREET,HAWARDEN,IA,51023,SIOUX,(712) 551-3100,Critical Access Hospitals,Government - Local
+64973,CORONA REGIONAL MEDICAL CENTER,800 SOUTH MAIN STREET,CORONA,CA,92882,RIVERSIDE,(951) 737-4343,Acute Care Hospitals,Proprietary
+90981,MULESHOE AREA MEDICAL CENTER,708 S 1ST ST,MULESHOE,TX,79347,BAILEY,(806) 272-4524,Critical Access Hospitals,Proprietary
+28990,ASCENSION MACOMB OAKLAND HOSP-WARREN CAMPUS,11800 EAST TWELVE MILE ROAD,WARREN,MI,48093,MACOMB,(586) 573-5000,Acute Care Hospitals,Voluntary non-profit - Private
+80942,APPLING HOSPITAL,163 E TOLLISON STREET,BAXLEY,GA,31513,APPLING,(912) 367-9841,Acute Care Hospitals,Government - Hospital District or Authority
+19067,HILLCREST HOSPITAL SOUTH,8801 SOUTH 101ST EAST AVENUE,TULSA,OK,74133,TULSA,(918) 294-4000,Acute Care Hospitals,Proprietary
+35774,LAKEWOOD HEALTH CENTER,600 MAIN AVE S,BAUDETTE,MN,56623,LAKE OF  WOODS,(218) 634-2120,Critical Access Hospitals,Voluntary non-profit - Church
+83229,COPLEY HOSPITAL,528 WASHINGTON HIGHWAY,MORRISVILLE,VT,5661,LAMOILLE,(802) 888-4231,Critical Access Hospitals,Voluntary non-profit - Private
+81738,BAYLOR SCOTT AND WHITE HEART AND VASCULAR HOSPITAL,621 NORTH HALL STREET,DALLAS,TX,75226,DALLAS,(214) 820-0670,Acute Care Hospitals,Proprietary
+44280,BLANCHARD VALLEY HOSPITAL,1900 SOUTH MAIN STREET,FINDLAY,OH,45840,HANCOCK,(419) 423-4500,Acute Care Hospitals,Voluntary non-profit - Other
+44056,CAROLINA EAST MEDICAL CENTER,2000 NEUSE BLVD,NEW BERN,NC,28560,CRAVEN,(252) 633-8640,Acute Care Hospitals,Government - Hospital District or Authority
+33638,SHRINERS HOSPITALS FOR CHILDREN,6977 MAIN STREET,HOUSTON,TX,77030,HARRIS,(713) 797-1616,Childrens,Voluntary non-profit - Other
+57136,"RED RIVER BEHAVIORAL CENTER, LLC",2800 MELROSE AVENUE,BOSSIER CITY,LA,71111,BOSSIER,(318) 549-2099,Psychiatric,Proprietary
+48412,ADENA REGIONAL MEDICAL CENTER,272 HOSPITAL ROAD,CHILLICOTHE,OH,45601,ROSS,(740) 779-7500,Acute Care Hospitals,Voluntary non-profit - Private
+20411,HSHS ST CLARE MEMORIAL HOSPITAL,855 S MAIN ST,OCONTO FALLS,WI,54154,OCONTO,(920) 846-3444,Critical Access Hospitals,Voluntary non-profit - Private
+52742,FRANCISCAN HEALTH HAMMOND,5454 HOHMAN AVE,HAMMOND,IN,46320,LAKE,(219) 932-2300,Acute Care Hospitals,Voluntary non-profit - Church
+18194,METRO NASHVILLE GENERAL HOSPITAL,1818 ALBION STREET,NASHVILLE,TN,37208,DAVIDSON,(615) 341-4490,Acute Care Hospitals,Government - Hospital District or Authority
+90663,OUR LADY OF THE ANGELS HOSPITAL,433 PLAZA STREET,BOGALUSA,LA,70427,WASHINGTON,(985) 730-6700,Acute Care Hospitals,Voluntary non-profit - Church
+26368,NORTHBROOK BEHAVIORAL HEALTH HOSPITAL,425  WOODBURY TURNERSVILLE ROAD,BLACKWOOD,NJ,8012,CAMDEN,(856) 374-6500,Psychiatric,Proprietary
+92830,BARTLETT REGIONAL HOSPITAL,3260 HOSPITAL DR,JUNEAU,AK,99801,JUNEAU,(907) 796-8900,Acute Care Hospitals,Government - Local
+54302,METHODIST AMBULATORY SURGERY HOSPITAL NW,9150 HUEBNER RD SUITE 100,SAN ANTONIO,TX,78240,BEXAR,(210) 575-5000,Acute Care Hospitals,Proprietary
+27729,NORTHERN VIRGINIA MENTAL HEALTH INSTI,3302 GALLOWS RD,FALLS CHURCH,VA,22042,FAIRFAX,(703) 207-7100,Psychiatric,Government - State
+65482,PHILLIPS COUNTY MEDICAL CENTER,311 S 8TH AVE E,MALTA,MT,59538,PHILLIPS,(406) 654-1100,Critical Access Hospitals,Voluntary non-profit - Private
+92967,SAINT BARNABAS MEDICAL CENTER,94 OLD SHORT HILLS ROAD,LIVINGSTON,NJ,7039,ESSEX,(973) 322-5000,Acute Care Hospitals,Voluntary non-profit - Other
+39909,SUMMITRIDGE CENTER- PSYCHIATRY & ADDICTIVE MED,250 SCENIC HIGHWAY,LAWRENCEVILLE,GA,30046,GWINNETT,(678) 442-5800,Psychiatric,Proprietary
+93416,MESA SPRINGS,5560 MESA SPRINGS DRIVE,FORT WORTH,TX,76123,TARRANT,(817) 292-4600,Psychiatric,Proprietary
+19357,UNIVERSITY HOSPITAL & CLINICS,2390 WEST CONGRESS,LAFAYETTE,LA,70506,LAFAYETTE,(337) 261-6000,Acute Care Hospitals,Voluntary non-profit - Private
+65933,ADVENTIST HEALTH HANFORD,115 MALL DRIVE,HANFORD,CA,93230,KINGS,(209) 410-7200,Acute Care Hospitals,Voluntary non-profit - Private
+58101,FRESNO SURGICAL HOSPITAL,6125 NORTH FRESNO ST,FRESNO,CA,93710,FRESNO,(559) 431-8000,Acute Care Hospitals,Proprietary
+13891,MEMORIAL HOSPITAL JACKSONVILLE,3625 UNIVERSITY BLVD S,JACKSONVILLE,FL,32216,DUVAL,(904) 702-6111,Acute Care Hospitals,Proprietary
+65523,FLOYD COUNTY MEDICAL CENTER,800 11TH ST,CHARLES CITY,IA,50616,FLOYD,(641) 228-6830,Critical Access Hospitals,Voluntary non-profit - Other
+83126,TWIN CITIES COMMUNITY HOSPITAL,1100 LAS TABLAS RD,TEMPLETON,CA,93465,SAN LUIS OBISPO,(805) 434-3500,Acute Care Hospitals,Proprietary
+38921,KEARNEY COUNTY HEALTH SERVICES HOSPITAL,727 EAST 1ST ST,MINDEN,NE,68959,KEARNEY,(308) 832-3400,Critical Access Hospitals,Government - Local
+20778,BOONE HOSPITAL CENTER,1600 E BROADWAY,COLUMBIA,MO,65201,BOONE,(573) 815-8000,Acute Care Hospitals,Voluntary non-profit - Other
+15579,WOODLAWN HOSPITAL,1400 E 9TH ST,ROCHESTER,IN,46975,FULTON,(574) 223-3141,Critical Access Hospitals,Government - Local
+27059,USA HEALTH CHILDREN'S & WOMEN'S HOSPITAL,1700 CENTER STREET,MOBILE,AL,36604,MOBILE,(251) 415-1000,Childrens,Government - State
+28222,BARBOURVILLE ARH HOSPITAL,80 HOSPITAL DRIVE,BARBOURVILLE,KY,40906,KNOX,(606) 546-4175,Critical Access Hospitals,Government - Local
+75769,WEST ANAHEIM MEDICAL CENTER,3033 W ORANGE AVENUE,ANAHEIM,CA,92804,ORANGE,(714) 827-3000,Acute Care Hospitals,Proprietary
+46504,HAVEN BEHAVIORAL HOSPITAL OF PHOENIX,"1201 SOUTH 7TH AVENUE, SUITE 200",PHOENIX,AZ,85007,MARICOPA,(623) 236-2000,Psychiatric,Proprietary
+32362,CEDAR CREST HOSPITAL & RTC,3500 SOUTH IH-35,BELTON,TX,76513,BELL,(254) 939-2100,Psychiatric,Proprietary
+72909,FAITH REGIONAL HEALTH SERVICES,2700 WEST NORFOLK AVE,NORFOLK,NE,68701,MADISON,(402) 371-4880,Acute Care Hospitals,Voluntary non-profit - Church
+27653,COLLETON MEDICAL CENTER,501 ROBERTSON BOULEVARD,WALTERBORO,SC,29488,COLLETON,(843) 782-2000,Acute Care Hospitals,Proprietary
+65929,SHERIDAN MEMORIAL HOSPTIAL,440 W LAUREL AVE,PLENTYWOOD,MT,59254,SHERIDAN,(406) 765-3700,Critical Access Hospitals,Voluntary non-profit - Private
+21556,JOHN MUIR BEHAVIORAL HEALTH CENTER,2740 GRANT STREET,CONCORD,CA,94524,CONTRA COSTA,(925) 674-4101,Psychiatric,Voluntary non-profit - Private
+46723,PATTERSON HEALTH CENTER,485 N. KS HWY 2,ANTHONY,KS,67003,HARPER,(620) 842-5111,Critical Access Hospitals,Government - Hospital District or Authority
+37322,GENEVA GENERAL HOSPITAL,196 -198 NORTH STREET,GENEVA,NY,14456,ONTARIO,(315) 787-4175,Acute Care Hospitals,Voluntary non-profit - Private
+85869,SUMMERLIN HOSPITAL MEDICAL CENTER,657 TOWN CENTER DRIVE,LAS VEGAS,NV,89144,CLARK,(702) 233-7500,Acute Care Hospitals,Proprietary
+90518,OPTIM MEDICAL CENTER - SCREVEN,215 MIMS ROAD,SYLVANIA,GA,30467,SCREVEN,(912) 564-7426,Critical Access Hospitals,Proprietary
+14956,CHILDREN'S HOSP OF RICHMOND OF THE VCU HEALTH SYS,2924 BROOK ROAD,RICHMOND,VA,23220,RICHMOND CITY,(804) 321-7474,Childrens,Voluntary non-profit - Private
+56116,FAUQUIER HOSPITAL,500 HOSPITAL DRIVE,WARRENTON,VA,20186,FAUQUIER,(540) 316-5000,Acute Care Hospitals,Voluntary non-profit - Private
+33128,EASTERN LA MENTAL HEALTH SYSTEM,4502 HIGHWAY 951,JACKSON,LA,70748,EAST FELICIANA,(225) 634-0100,Psychiatric,Government - State
+69598,TEXAS HEALTH ARLINGTON MEMORIAL HOSPITAL,800 W RANDOL MILL RD,ARLINGTON,TX,76012,TARRANT,(817) 548-6100,Acute Care Hospitals,Voluntary non-profit - Private
+56315,NORTHWESTERN LAKE FOREST HOSPITAL,1000 N WESTMORELAND ROAD,LAKE FOREST,IL,60045,LAKE,(847) 234-5600,Acute Care Hospitals,Voluntary non-profit - Other
+42000,"COMMUNITY MEMORIAL HEALTHCARE, INC",708 N 18TH STREET,MARYSVILLE,KS,66508,MARSHALL,(785) 562-2311,Critical Access Hospitals,Voluntary non-profit - Private
+33778,THE MEDICAL CENTER AT ALBANY,723 BURKESVILLE ROAD,ALBANY,KY,42602,CLINTON,(606) 387-6421,Acute Care Hospitals,Voluntary non-profit - Private
+63575,RICELAND MEDICAL CENTER,538 BROADWAY,WINNIE,TX,77665,CHAMBERS,(409) 296-6000,Critical Access Hospitals,Proprietary
+21540,MCCULLOUGH-HYDE MEMORIAL HOSPITAL,110 NORTH POPLAR STREET,OXFORD,OH,45056,BUTLER,(513) 524-5640,Acute Care Hospitals,Voluntary non-profit - Private
+77048,BLUE RIDGE REGIONAL HOSPITAL,125 HOSPITAL DR,SPRUCE PINE,NC,28777,MITCHELL,(828) 765-4201,Critical Access Hospitals,Voluntary non-profit - Private
+84161,SAINT MARY'S HEALTH CARE,200 JEFFERSON AVENUE SE,GRAND RAPIDS,MI,49503,KENT,(616) 685-5000,Acute Care Hospitals,Voluntary non-profit - Church
+41189,WELLINGTON REGIONAL MEDICAL CENTER LLC,10101 FOREST HILL BLVD,WELLINGTON,FL,33414,PALM BEACH,(561) 798-8500,Acute Care Hospitals,Proprietary
+79561,FREDONIA REGIONAL HOSPITAL,1527 MADISON,FREDONIA,KS,66736,WILSON,(620) 378-2121,Critical Access Hospitals,Government - Local
+45528,PLATTE VALLEY MEDICAL CENTER,1600 PRAIRIE CENTER PKWY,BRIGHTON,CO,80601,ADAMS,(303) 498-1601,Acute Care Hospitals,Voluntary non-profit - Private
+88098,NORTH OKALOOSA MEDICAL CENTER,151 REDSTONE AVE SE,CRESTVIEW,FL,32539,OKALOOSA,(850) 689-8100,Acute Care Hospitals,Voluntary non-profit - Private
+50057,LOWER UMPQUA HOSPITAL DISTRICT,600 RANCH ROAD,REEDSPORT,OR,97467,DOUGLAS,(541) 271-2171,Critical Access Hospitals,Government - Hospital District or Authority
+74353,CAPITAL MEDICAL CENTER,3900 CAPITAL MALL DR SW,OLYMPIA,WA,98502,THURSTON,(360) 754-5858,Acute Care Hospitals,Voluntary non-profit - Private
+83010,KENMORE MERCY HOSPITAL,2950 ELMWOOD AVENUE,KENMORE,NY,14217,ERIE,(716) 447-6100,Acute Care Hospitals,Voluntary non-profit - Church
+40944,LA PALMA INTERCOMMUNITY HOSPITAL,7901 WALKER STREET,LA PALMA,CA,90623,ORANGE,(714) 670-7400,Acute Care Hospitals,Proprietary
+94695,FAIRFIELD MEDICAL CENTER,401 NORTH EWING STREET,LANCASTER,OH,43130,FAIRFIELD,(740) 687-8009,Acute Care Hospitals,Voluntary non-profit - Other
+87201,MEDSTAR SOUTHERN MARYLAND HOSPITAL CENTER,7503 SURRATTS ROAD,CLINTON,MD,20735,PRINCE GEORGES,(301) 868-8000,Acute Care Hospitals,Voluntary non-profit - Private
+28213,KAISER FOUNDATION HOSPITAL - ANTIOCH,4501 SAND CREEK ROAD,ANTIOCH,CA,94531,CONTRA COSTA,(925) 813-6500,Acute Care Hospitals,Voluntary non-profit - Private
+14097,MCLAREN GREATER LANSING,401 W GREENLAWN AVE,LANSING,MI,48910,INGHAM,(517) 975-6000,Acute Care Hospitals,Voluntary non-profit - Private
+93231,CLOVIS COMMUNITY MEDICAL CENTER,2755 HERNDON AVE,CLOVIS,CA,93611,FRESNO,(559) 324-4000,Acute Care Hospitals,Voluntary non-profit - Private
+51413,GUNDERSEN PALMER LUTHERAN HOSPITAL AND CLINICS,112 JEFFERSON STREET,WEST UNION,IA,52175,FAYETTE,(563) 422-3811,Critical Access Hospitals,Voluntary non-profit - Private
+24855,OSF SAINT LUKES MEDICAL CENTER,1051 WEST SOUTH STREET,KEWANEE,IL,61443,HENRY,(309) 853-3361,Critical Access Hospitals,Voluntary non-profit - Church
+38347,CARNEY HOSPITAL,2100 DORCHESTER AVENUE,BOSTON,MA,2124,SUFFOLK,(617) 506-2000,Acute Care Hospitals,Proprietary
+79264,CITY HOSPITAL AT  WHITE ROCK,9440 POPPY DR,DALLAS,TX,75218,DALLAS,(214) 324-6100,Acute Care Hospitals,Proprietary
+43517,KERRVILLE STATE HOSP,721 THOMPSON DR,KERRVILLE,TX,78028,KERR,(830) 896-2211,Psychiatric,Government - State
+58169,COMMUNITY HOSPITAL SOUTH,1402 E COUNTY LINE RD S,INDIANAPOLIS,IN,46227,MARION,(317) 887-7000,Acute Care Hospitals,Voluntary non-profit - Private
+30895,FROEDTERT SOUTH - KENOSHA MEDICAL CENTER,6308 EIGHTH AVE,KENOSHA,WI,53143,KENOSHA,(262) 656-2011,Acute Care Hospitals,Government - Local
+91604,HAVEN BEHAVIORAL HOSPITAL OF FRISCO,"5680 FRISCO SQUARE BLVD, SUITE 3000",FRISCO,TX,75034,DENTON,(469) 535-8000,Psychiatric,Proprietary
+53229,BAPTIST MEMORIAL HOSPITAL GOLDEN TRIANGLE INC,2520 5TH STREET N,COLUMBUS,MS,39701,LOWNDES,(662) 244-1500,Acute Care Hospitals,Voluntary non-profit - Private
+18964,MIDMICHIGAN MEDICAL CENTER - WEST BRANCH,2463 SOUTH M-30,WEST BRANCH,MI,48661,OGEMAW,(989) 345-6366,Acute Care Hospitals,Government - Local
+71590,GOOD SAMARITAN HOSPITAL,FOURTH AND WALNUT STREETS,LEBANON,PA,17042,LEBANON,(717) 270-7500,Acute Care Hospitals,Voluntary non-profit - Other
+14437,PRISMA HEALTH GREENVILLE MEMORIAL HOSPITAL,905 VERDAE BLVD SUITE 102,GREENVILLE,SC,29605,GREENVILLE,(864) 455-7000,Acute Care Hospitals,Voluntary non-profit - Private
+11058,ASPEN VALLEY HOSPITAL,401 CASTLE CREEK RD,ASPEN,CO,81611,PITKIN,(970) 544-1261,Critical Access Hospitals,Government - Hospital District or Authority
+74296,JEWELL COUNTY HOSPITAL,100 CRESTVUE AVE,MANKATO,KS,66956,JEWELL,(785) 378-3137,Critical Access Hospitals,Government - Local
+28343,SHRINERS HOSPITAL FOR CHILDREN,1310 PUNAHOU STREET,HONOLULU,HI,96826,HONOLULU,(808) 941-4466,Childrens,Voluntary non-profit - Private
+83554,BAPTIST HOSPITAL,1000 W MORENO ST,PENSACOLA,FL,32501,ESCAMBIA,(850) 434-4011,Acute Care Hospitals,Voluntary non-profit - Private
+81406,STURDY MEMORIAL HOSPITAL,211 PARK STREET,ATTLEBORO,MA,2703,BRISTOL,(508) 222-5200,Acute Care Hospitals,Voluntary non-profit - Other
+90417,UNIVERSITY HOSPITALS AHUJA MEDICAL CENTER,3999 RICHMOND ROAD,BEACHWOOD,OH,44122,CUYAHOGA,(216) 593-5510,Acute Care Hospitals,Voluntary non-profit - Private
+82073,JOHNSON REGIONAL MEDICAL CENTER,1100 EAST POPLAR STREET,CLARKSVILLE,AR,72830,JOHNSON,(479) 754-5454,Acute Care Hospitals,Government - Local
+80680,DOCTORS HOSPITAL,3651 WHEELER ROAD,AUGUSTA,GA,30909,RICHMOND,(706) 651-6008,Acute Care Hospitals,Proprietary
+12830,MADISON ST JOSEPH HEALTH CENTER,100 WEST CROSS STREET,MADISONVILLE,TX,77864,MADISON,(936) 348-2631,Critical Access Hospitals,Voluntary non-profit - Church
+15699,HAVEN BEHAVIORAL HOSPITAL OF EASTERN PENNSYLVANIA,145 NORTH 6TH STREET,READING,PA,19601,BERKS,(610) 406-4340,Psychiatric,Proprietary
+39882,GRADY MEMORIAL HOSPITAL,2220 IOWA STREET,CHICKASHA,OK,73018,GRADY,(405) 224-2300,Acute Care Hospitals,Government - Hospital District or Authority
+80415,SETON MEDICAL CENTER HARKER HEIGHTS,850 W CENTRAL TEXAS EXPRESSWAY,HARKER HEIGHTS,TX,76548,BELL,(254) 953-8342,Acute Care Hospitals,Proprietary
+19661,PUTNAM COUNTY MEMORIAL HOSPITAL,"1926 OAK STREET,  PO BOX 389",UNIONVILLE,MO,63565,PUTNAM,(660) 947-2411,Critical Access Hospitals,Government - Local
+30983,FRISBIE MEMORIAL HOSPITAL,11 WHITEHALL ROAD,ROCHESTER,NH,3867,STRAFFORD,(603) 332-5211,Acute Care Hospitals,Voluntary non-profit - Private
+10358,JOHN J MADDEN MENTAL HEALTH CENTER,1200 S FIRST AVE,HINES,IL,60141,COOK,(708) 531-7202,Psychiatric,Government - State
+39567,JOHNSON MEMORIAL HOSPITAL,1282 WALNUT STREET,DAWSON,MN,56232,LAC QUI PARLE,(320) 769-4323,Critical Access Hospitals,Government - Hospital District or Authority
+26265,ALASKA NATIVE MEDICAL CENTER,4315 DIPLOMACY DR,ANCHORAGE,AK,99508,ANCHORAGE,(907) 729-3971,Acute Care Hospitals,Government - Federal
+65504,HOSPITAL UNIVERSITARIO DE ADULTO,BARRIO MONACILLOS CENTROMEDICO,RIO PIEDRAS,PR,927,SAN JUAN,(787) 754-0101,Acute Care Hospitals,Government - State
+88327,DOCTORS'  COMMUNITY HOSPITAL,8118 GOOD LUCK ROAD,LANHAM,MD,20706,PRINCE GEORGES,(301) 552-8118,Acute Care Hospitals,Proprietary
+49049,SO CRESCENT BEH HLTH SYS - ANCHOR HOSPITAL CAMPUS,5454 YORKTOWNE DRIVE,COLLEGE PARK,GA,30349,FULTON,(770) 991-6044,Psychiatric,Proprietary
+23969,RUTHERFORD REGIONAL MEDICAL CENTER,288 SOUTH RIDGECREST AVE,RUTHERFORDTON,NC,28139,RUTHERFORD,(828) 286-5000,Acute Care Hospitals,Proprietary
+83829,PENNSYLVANIA HOSPITAL,800 SPRUCE STREET,PHILADELPHIA,PA,19107,PHILADELPHIA,(215) 829-3000,Acute Care Hospitals,Voluntary non-profit - Private
+57943,BATON ROUGE BEHAVIORAL HOSPITAL,4040 NORTH BLVD.,BATON ROUGE,LA,70806,E. BATON ROUGE,(225) 300-8470,Psychiatric,Proprietary
+50977,ROCKLAND PSYCH CTR,140 OLD ORANGEBURG RD,ORANGEBURG,NY,10962,ROCKLAND,(845) 359-1000,Psychiatric,Government - State
+89111,HENDRY REGIONAL MEDICAL CENTER,524 W SAGAMORE AVE,CLEWISTON,FL,33440,HENDRY,(863) 902-3033,Critical Access Hospitals,Voluntary non-profit - Other
+17293,MIDWEST MEDICAL CENTER,1 MEDICAL CENTER DRIVE,GALENA,IL,61036,JO DAVIESS,(815) 777-1340,Critical Access Hospitals,Voluntary non-profit - Private
+66160,HENRY FORD MACOMB HOSPITAL,15855 NINETEEN MILE RD,CLINTON TOWNSHIP,MI,48038,MACOMB,(586) 263-2300,Acute Care Hospitals,Voluntary non-profit - Private
+48878,CHI HEALTH ST MARY'S,1301 GRUNDMAN BLVD,NEBRASKA CITY,NE,68410,OTOE,(402) 873-3321,Critical Access Hospitals,Voluntary non-profit - Church
+72185,DIVINE SAVIOR HEALTHCARE,2817 NEW PINERY ROAD,PORTAGE,WI,53901,COLUMBIA,(608) 742-4131,Acute Care Hospitals,Voluntary non-profit - Private
+77668,CHEROKEE MEDICAL CENTER,1530 N LIMESTONE ST,GAFFNEY,SC,29340,CHEROKEE,(864) 487-4271,Acute Care Hospitals,Voluntary non-profit - Private
+81300,FOREST HEALTH MEDICAL CENTER,135 S PROSPECT ST,YPSILANTI,MI,48198,WASHTENAW,(734) 547-4700,Acute Care Hospitals,Government - Hospital District or Authority
+90046,RIVER BEND HOSPITAL,2900 N RIVER RD,WEST LAFAYETTE,IN,47906,TIPPECANOE,(765) 464-0400,Psychiatric,Voluntary non-profit - Private
+35551,WADLEY REGIONAL MEDICAL CENTER,1000 PINE STREET,TEXARKANA,TX,75501,BOWIE,(903) 798-8000,Acute Care Hospitals,Physician
+43740,PALOS COMMUNITY HOSPITAL,12251 SOUTH 80TH AVENUE,PALOS HEIGHTS,IL,60463,COOK,(708) 923-4000,Acute Care Hospitals,Voluntary non-profit - Private
+85078,WOODLAND MEMORIAL HOSPITAL,1325 COTTONWOOD STREET,WOODLAND,CA,95695,YOLO,(530) 662-3961,Acute Care Hospitals,Voluntary non-profit - Other
+76744,HACKENSACK-UMC MOUNTAINSIDE,BAY AND HIGHLAND AVE,MONTCLAIR,NJ,7042,ESSEX,(973) 429-6000,Acute Care Hospitals,Voluntary non-profit - Private
+26595,HOLMES REGIONAL MEDICAL CENTER,1350 S HICKORY ST,MELBOURNE,FL,32901,BREVARD,(321) 434-7000,Acute Care Hospitals,Voluntary non-profit - Private
+49181,MARLBOROUGH HOSPITAL,157 UNION STREET,MARLBOROUGH,MA,1752,MIDDLESEX,(508) 481-5000,Acute Care Hospitals,Voluntary non-profit - Private
+73735,ELGIN MENTAL HEALTH CENTER,750 S STATE ST,ELGIN,IL,60123,KANE,(847) 742-1040,Psychiatric,Government - State
+29219,BAPTIST MEDICAL CENTER-LEAKE,1100 HIGHWAY 16 EAST,CARTHAGE,MS,39051,LEAKE,(601) 267-1422,Critical Access Hospitals,Voluntary non-profit - Private
+51641,THE HOSPITALS OF PROVIDENCE TRANSMOUNTAIN CAMPUS,2000 TRANSMOUNTAIN RD,EL PASO,TX,79911,EL PASO,(915) 877-8136,Acute Care Hospitals,Proprietary
+56903,SAINT JOSEPH HOSPITAL,ONE SAINT JOSEPH DRIVE,LEXINGTON,KY,40504,FAYETTE,(859) 313-1000,Acute Care Hospitals,Voluntary non-profit - Church
+31411,RICHLAND PARISH HOSPITAL-DELHI,407 CINCINNATI STREET,DELHI,LA,71232,RICHLAND,(318) 878-5171,Critical Access Hospitals,Government - Hospital District or Authority
+11748,PEARL RIVER COUNTY HOSPITAL & NURSING HOME,305 WEST MOODY STREET,POPLARVILLE,MS,39470,PEARL RIVER,(601) 795-4543,Critical Access Hospitals,Government - Local
+19168,PINNACLE HEALTH HOSPITALS,409 SOUTH SECOND STREET,HARRISBURG,PA,17105,DAUPHIN,(717) 782-5181,Acute Care Hospitals,Voluntary non-profit - Other
+85986,MERCY HOSPITAL CARTHAGE,3125 DR RUSSELL SMITH WAY,CARTHAGE,MO,64836,JASPER,(417) 358-8121,Critical Access Hospitals,Voluntary non-profit - Private
+52637,UNIVERSITY OF KANSAS HOSPITAL,4000 CAMBRIDGE STREET,KANSAS CITY,KS,66160,WYANDOTTE,(913) 588-7332,Acute Care Hospitals,Government - Hospital District or Authority
+60814,OHIO VALLEY MEDICAL CENTER,2000 EOFF STREET,WHEELING,WV,26003,OHIO,(304) 234-0123,Acute Care Hospitals,Voluntary non-profit - Private
+75116,WEST TENNESSEE HEALTHCARE VOLUNTEER HOSPITAL,161 MOUNT PELIA RD,MARTIN,TN,38237,WEAKLEY,(731) 479-6057,Acute Care Hospitals,Proprietary
+38636,ST PETERS HOSPITAL,2475 BROADWAY,HELENA,MT,59601,LEWIS AND CLARK,(406) 442-2480,Acute Care Hospitals,Voluntary non-profit - Private
+70522,NESS COUNTY HOSPITAL DISTRICT #2,312 CUSTER STREET,NESS CITY,KS,67560,NESS,(785) 798-2291,Critical Access Hospitals,Government - Hospital District or Authority
+85294,FRIENDS HOSPITAL,4641 ROOSEVELT BOULEVARD,PHILADELPHIA,PA,19124,PHILADELPHIA,(215) 831-4600,Psychiatric,Proprietary
+26007,CEDAR SPRINGS BEHAVIORAL HEALTH SYSTEM,2135 SOUTHGATE RD,COLORADO SPRINGS,CO,80906,EL PASO,(719) 633-4114,Psychiatric,Proprietary
+85174,MAYO CLINIC HEALTH SYSTEM-NORTHLAND,1222 E WOODLAND AVE,BARRON,WI,54812,BARRON,(715) 537-3186,Critical Access Hospitals,Voluntary non-profit - Private
+76779,AVERA ST ANTHONY'S HOSPITAL,300 NORTH 2ND ST,O' NEILL,NE,68763,HOLT,(402) 336-5131,Critical Access Hospitals,Voluntary non-profit - Church
+18461,GRADY GENERAL HOSPITAL,"1155 5TH STREET, SE",CAIRO,GA,39828,GRADY,(229) 377-0251,Acute Care Hospitals,Voluntary non-profit - Private
+61051,RAINBOW BABIES AND CHILDRENS HOSPITAL,11100 EUCLID AVENUE,CLEVELAND,OH,44106,CUYAHOGA,(216) 844-1000,Childrens,Voluntary non-profit - Other
+52983,CHILDREN'S HOSPITAL OF SAN ANTONIO,333 N SANTA ROSA ST,SAN ANTONIO,TX,78207,BEXAR,(210) 704-3342,Childrens,Voluntary non-profit - Private
+45024,LYNN COUNTY HOSPITAL DISTRICT,2600 LOCKWOOD STREET,TAHOKA,TX,79373,LYNN,(806) 998-4533,Critical Access Hospitals,Government - Hospital District or Authority
+58575,TRINITAS REGIONAL MEDICAL CENTER,225 WILLIAMSON STREET,ELIZABETH,NJ,7207,UNION,(908) 994-5000,Acute Care Hospitals,Voluntary non-profit - Private
+27863,OCHSNER LSU HEALTH SHREVEPORT,1541 KINGS HIGHWAY,SHREVEPORT,LA,71103,CADDO,(318) 675-5000,Acute Care Hospitals,Voluntary non-profit - Private
+90844,ROUND ROCK MEDICAL CENTER,2400 ROUND ROCK AVE,ROUND ROCK,TX,78681,WILLIAMSON,(512) 341-1000,Acute Care Hospitals,Proprietary
+86894,HOLDENVILLE GENERAL HOSPITAL,100 MCDOUGAL DRIVE,HOLDENVILLE,OK,74848,HUGHES,(405) 379-4200,Critical Access Hospitals,Government - Hospital District or Authority
+28729,MERCY HEALTH-LORAIN HOSPITAL,3700 KOLBE ROAD,LORAIN,OH,44053,LORAIN,(440) 960-4000,Acute Care Hospitals,Voluntary non-profit - Private
+74675,PLATTE COUNTY MEMORIAL HOSPITAL,201 14TH STREET,WHEATLAND,WY,82201,PLATTE,(307) 322-3636,Critical Access Hospitals,Government - Local
+71166,P H S INDIAN HOSP AT BELCOURT-QUENTIN N BURDICK,PO BOX 160,BELCOURT,ND,58316,ROLETTE,(701) 477-6111,Acute Care Hospitals,Government - Federal
+22833,ST ANTHONYS MEMORIAL HOSPITAL,503 N MAPLE STREET,EFFINGHAM,IL,62401,EFFINGHAM,(217) 342-2121,Acute Care Hospitals,Voluntary non-profit - Church
+60680,KING'S DAUGHTERS MEDICAL CENTER-BROOKHAVEN,P O BOX 948/427 HIGHWAY 51 NORTH,BROOKHAVEN,MS,39601,LINCOLN,(601) 833-6011,Acute Care Hospitals,Voluntary non-profit - Other
+32617,WELLSTONE REGIONAL HOSPITAL,2700 VISSING PARK RD,JEFFERSONVILLE,IN,47130,CLARK,(812) 284-8000,Psychiatric,Proprietary
+85983,GREENBRIER VALLEY MEDICAL CENTER,1320 MAPLEWOOD AVENUE,RONCEVERTE,WV,24970,GREENBRIER,(304) 647-4411,Acute Care Hospitals,Proprietary
+86261,FRANKLIN GENERAL HOSPITAL,1720 CENTRAL AVENUE EAST,HAMPTON,IA,50441,FRANKLIN,(641) 456-5000,Critical Access Hospitals,Government - Local
+14425,MEMORIAL HERMANN FIRST COLONY HOSPITAL,"24429 TOMBALL PARKWAY, SUITE 100",TOMBALL,TX,77375,HARRIS,(281) 516-0911,Acute Care Hospitals,Proprietary
+88904,MAYO CLINIC HEALTH SYSTEM - ALBERT LEA AND AUSTIN,404 WEST FOUNTAIN STREET,ALBERT LEA,MN,56007,FREEBORN,(507) 377-6452,Acute Care Hospitals,Voluntary non-profit - Private
+52793,ST JOSEPHS HOSPITAL,9515 HOLY CROSS LN,BREESE,IL,62230,CLINTON,(618) 526-4511,Acute Care Hospitals,Voluntary non-profit - Church
+75749,PUSHMATAHA COUNTY TOWN OF ANTLERS HOSPITAL,510 EAST MAIN STREET,ANTLERS,OK,74523,PUSHMATAHA,(580) 298-3341,Acute Care Hospitals,Government - Hospital District or Authority
+20847,PROFESSIONAL HOSPITAL GUAYNABO INC,AVE LAS CUMBRES ST 199KM 1 2,ALT DE SANTA,PR,969,GUAYNABO,(787) 708-6560,Acute Care Hospitals,Proprietary
+33410,HERITAGE VALLEY SEWICKLEY,720 BLACKBURN ROAD,SEWICKLEY,PA,15143,ALLEGHENY,(412) 741-7000,Acute Care Hospitals,Voluntary non-profit - Private
+86481,HOAG ORTHOPEDIC INSTITUTE,16250 SAND CANYON AVENUE,IRVINE,CA,92618,ORANGE,(949) 727-5000,Acute Care Hospitals,Proprietary
+69572,THREE GABLES SURGERY CENTER,5897 COUNTY ROAD 107,PROCTORVILLE,OH,45669,LAWRENCE,(740) 886-9911,Acute Care Hospitals,Proprietary
+14844,FRANKLIN COUNTY MEDICAL CENTER,44 NORTH FIRST EAST,PRESTON,ID,83263,FRANKLIN,(208) 852-0137,Critical Access Hospitals,Government - Local
+94923,UNIVERSITY COLO HEALTH MEMORIAL HOSPITAL CENTRAL,1400 E BOULDER ST,COLORADO SPRINGS,CO,80909,EL PASO,(719) 365-5000,Acute Care Hospitals,Government - Local
+27711,WESTERN MISSOURI MEDICAL CENTER,403 BURKARTH ROAD,WARRENSBURG,MO,64093,JOHNSON,(660) 747-2500,Acute Care Hospitals,Government - Hospital District or Authority
+57162,LEWISGALE HOSPITAL MONTGOMERY,3700 SOUTH MAIN STREET,BLACKSBURG,VA,24060,MONTGOMERY,(540) 951-1111,Acute Care Hospitals,Proprietary
+20468,LARGO MEDICAL CENTER,201 14TH ST SW,LARGO,FL,33770,PINELLAS,(727) 588-5200,Acute Care Hospitals,Proprietary
+49322,GOODALL WITCHER HOSPITAL,101 POSEY AVENUE,CLIFTON,TX,76634,BOSQUE,(254) 675-8322,Critical Access Hospitals,Government - Hospital District or Authority
+70902,ALBERT J SOLNIT CHILDREN'S CENTER - SOUTH CAMPUS,915 RIVER ROAD,MIDDLETOWN,CT,6457,MIDDLESEX,(860) 704-4090,Psychiatric,Government - State
+62332,SPRING MOUNTAIN SAHARA,5460 WEST SAHARA,LAS VEGAS,NV,89146,CLARK,(702) 873-2400,Psychiatric,Proprietary
+50557,PEACEHEALTH COTTAGE GROVE COMMUNITY MEDICAL CENTER,1515 VILLAGE DRIVE,COTTAGE GROVE,OR,97424,LANE,(541) 767-5202,Critical Access Hospitals,Voluntary non-profit - Private
+33639,PROVIDENT HOSPITAL OF CHICAGO,500 E 51ST ST,CHICAGO,IL,60615,COOK,(312) 572-2000,Acute Care Hospitals,Government - Local
+85033,YALOBUSHA GENERAL HOSPITAL,630 SOUTH MAIN STREET,WATER VALLEY,MS,38965,YALOBUSHA,(662) 473-1411,Acute Care Hospitals,Government - Local
+28606,MENTAL HEALTH INSTITUTE,2277 IOWA AVENUE,INDEPENDENCE,IA,50644,BUCHANAN,(319) 334-2583,Psychiatric,Government - State
+80505,RAULERSON HOSPITAL,1796 HWY 441 NORTH,OKEECHOBEE,FL,34972,OKEECHOBEE,(863) 763-2151,Acute Care Hospitals,Proprietary
+73904,LOS ALAMITOS MEDICAL CENTER,3751 KATELLA AVENUE,LOS ALAMITOS,CA,90720,ORANGE,(562) 799-3220,Acute Care Hospitals,Proprietary
+33375,SUBURBAN HOSPITAL,8600 OLD GEORGETOWN ROAD,BETHESDA,MD,20814,MONTGOMERY,(301) 896-2576,Acute Care Hospitals,Voluntary non-profit - Private
+75581,ARBOUR-FULLER HOSPITAL,200 MAY STREET,SOUTH ATTLEBORO,MA,2703,BRISTOL,(508) 761-8500,Psychiatric,Proprietary
+48914,UNION HOSPITAL OF CECIL COUNTY,106 BOW STREET,ELKTON,MD,21921,CECIL,(410) 392-7009,Acute Care Hospitals,Voluntary non-profit - Private
+57016,HIGH POINT TREATMENT CENTER,52 OAK STREET,MIDDLEBORO,MA,2346,PLYMOUTH,(774) 628-1011,Psychiatric,Voluntary non-profit - Private
+80142,SHERIDAN COMMUNITY HOSPITAL,301 N MAIN ST,SHERIDAN,MI,48884,MONTCALM,(989) 291-3261,Critical Access Hospitals,Voluntary non-profit - Private
+34818,ENLOE MEDICAL CENTER,1531 ESPLANADE,CHICO,CA,95926,BUTTE,(530) 332-7300,Acute Care Hospitals,Voluntary non-profit - Private
+31635,BEAR RIVER VALLEY HOSPITAL,905 NORTH 1000 WEST,TREMONTON,UT,84337,BOX ELDER,(435) 207-4500,Acute Care Hospitals,Voluntary non-profit - Private
+40886,HENRY COUNTY MEMORIAL HOSPITAL,1000 N 16TH ST,NEW CASTLE,IN,47362,HENRY,(765) 521-0890,Acute Care Hospitals,Government - Local
+71236,LITTLE COMPANY OF MARY HOSPITAL,2800 W 95TH ST,EVERGREEN PARK,IL,60805,COOK,(708) 422-6200,Acute Care Hospitals,Voluntary non-profit - Other
+44210,LEHIGH REGIONAL MEDICAL CENTER,1500 LEE BLVD,LEHIGH ACRES,FL,33936,LEE,(239) 369-2101,Acute Care Hospitals,Voluntary non-profit - Private
+30650,GENESIS BEHAVIORAL HOSPITAL,606 LATIOLAIS ROAD,BREAUX BRIDGE,LA,70517,ST. MARTIN,(337) 442-6254,Psychiatric,Proprietary
+18724,KIT CARSON COUNTY MEMORIAL HOSPITAL,286 16TH ST,BURLINGTON,CO,80807,KIT CARSON,(719) 346-5311,Critical Access Hospitals,Government - Hospital District or Authority
+33436,PRESENTATION MEDICAL CENTER,213 SECOND AVE NE,ROLLA,ND,58367,ROLETTE,(701) 477-3161,Critical Access Hospitals,Voluntary non-profit - Private
+48281,HEGG MEMORIAL HEALTH CENTER,1202 21ST AVENUE,ROCK VALLEY,IA,51247,SIOUX,(712) 476-8000,Critical Access Hospitals,Voluntary non-profit - Private
+72678,"ST JOHN SAPULPA, INC",1004 EAST BRYAN,SAPULPA,OK,74066,CREEK,(918) 227-8601,Critical Access Hospitals,Voluntary non-profit - Private
+18818,MONTANA STATE HOSPITAL,100 GARNET WAY,WARM SPRINGS,MT,59756,DEER LODGE,(406) 693-7000,Psychiatric,Government - State
+37388,"JANE PHILLIPS MEMORIAL MEDICAL CENTER, INC",3500 EAST FRANK PHILLIPS BOULEVARD,BARTLESVILLE,OK,74006,WASHINGTON,(918) 333-7200,Acute Care Hospitals,Voluntary non-profit - Private
+70905,IOWA SPECIALTY HOSPITAL - BELMOND,403 FIRST STREET SE,BELMOND,IA,50421,WRIGHT,(641) 444-3223,Critical Access Hospitals,Government - Local
+60990,HOLY ROSARY HEALTHCARE,2600 WILSON ST,MILES CITY,MT,59301,CUSTER,(406) 233-2600,Critical Access Hospitals,Voluntary non-profit - Private
+87924,LBJ TROPICAL MEDICAL CENTER,FAGAALU VILLAGE,PAGO PAGO,AS,96799,EASTERN DISTRICT,(684) 633-4590,Acute Care Hospitals,Government - Hospital District or Authority
+83846,BRONSON METHODIST HOSPITAL,601 JOHN STREET,KALAMAZOO,MI,49007,KALAMAZOO,(269) 341-6000,Acute Care Hospitals,Voluntary non-profit - Private
+62919,DECATUR MORGAN HOSPITAL-DECATUR CAMPUS,1201 7TH STREET SE,DECATUR,AL,35601,MORGAN,(256) 341-2000,Acute Care Hospitals,Government - Hospital District or Authority
+68151,DOCTORS HOSPITAL AT RENAISSANCE,5501 SOUTH MCCOLL,EDINBURG,TX,78539,HIDALGO,(956) 362-8677,Acute Care Hospitals,Physician
+46895,BRIGHAM AND WOMEN'S HOSPITAL,75 FRANCIS STREET,BOSTON,MA,2115,SUFFOLK,(617) 732-5500,Acute Care Hospitals,Voluntary non-profit - Private
+30596,"LAUREATE PSYCHIATRIC CLINIC AND HOSPITAL, INC",6655 SOUTH YALE AVENUE,TULSA,OK,74136,TULSA,(918) 481-4000,Psychiatric,Voluntary non-profit - Private
+43650,TAYLOR REGIONAL HOSPITAL,1700 OLD LEBANON ROAD,CAMPBELLSVILLE,KY,42718,TAYLOR,(270) 465-3561,Acute Care Hospitals,Government - Hospital District or Authority
+22084,THROCKMORTON COUNTY MEMORIAL HOSPITAL,802 N MINTER AVENUE,THROCKMORTON,TX,76483,THROCKMORTON,(940) 849-2151,Critical Access Hospitals,Government - Local
+72847,PENOBSCOT VALLEY HOSPITAL,"7 TRANSALPINE ROAD, PO BOX 368",LINCOLN,ME,4457,PENOBSCOT,(207) 794-3321,Critical Access Hospitals,Voluntary non-profit - Private
+83956,SUMMIT PACIFIC MEDICAL CENTER-SWING BED UNIT,600 EAST MAIN STREET,ELMA,WA,98541,GRAYS HARBOR,(360) 346-2222,Critical Access Hospitals,Government - Hospital District or Authority
+44209,MCLAREN CARO REGION,401 N HOOPER ST,CARO,MI,48723,TUSCOLA,(989) 673-3141,Critical Access Hospitals,Voluntary non-profit - Private
+52012,HOSPITAL ORIENTE,300 FONT MARTELLO STREET,HUMACAO,PR,792,HUMACAO,(787) 852-0505,Acute Care Hospitals,Proprietary
+48684,ST JOSEPHS AREA  HEALTH SERVICES,600 PLEASANT AVENUE,PARK RAPIDS,MN,56470,HUBBARD,(218) 732-3311,Critical Access Hospitals,Voluntary non-profit - Private
+29646,ST JOSEPH HOSPITAL,2700 DOLBEER ST,EUREKA,CA,95501,HUMBOLDT,(707) 445-8121,Acute Care Hospitals,Voluntary non-profit - Private
+33538,UNIVERSITY HEALTH SYSTEM,4502 MEDICAL DR,SAN ANTONIO,TX,78229,BEXAR,(210) 358-2637,Acute Care Hospitals,Government - Hospital District or Authority
+12827,"ST MARY'S SACRED HEART HOSPITAL, INC",367 CLEAR CREEK PARKWAY,LAVONIA,GA,30553,FRANKLIN,(706) 356-7800,Acute Care Hospitals,Voluntary non-profit - Private
+88998,CASS LAKE INDIAN HEALTH SERVICES HOSPITAL,425 7TH STREET NW,CASS LAKE,MN,56633,CASS,(218) 335-3200,Critical Access Hospitals,Government - Federal
+54099,GREENE COUNTY HOSPITAL,509 WILSON AVENUE,EUTAW,AL,35462,GREENE,(205) 372-3388,Acute Care Hospitals,Government - Local
+14077,HAMILTON HOSPITAL,901 WEST HAMILTON,OLNEY,TX,76374,YOUNG,(940) 564-5521,Critical Access Hospitals,Government - Hospital District or Authority
+39246,PARKVIEW WHITLEY HOSPITAL,1260 E SR 205,COLUMBIA CITY,IN,46725,WHITLEY,(260) 248-9301,Acute Care Hospitals,Voluntary non-profit - Private
+93867,GRANT REGIONAL HEALTH CENTER,507 S MONROE ST,LANCASTER,WI,53813,GRANT,(608) 723-2143,Critical Access Hospitals,Voluntary non-profit - Private
+51881,ST JOSEPHS COMMUNITY HOSPITAL OF WEST BEND,3200 PLEASANT VALLEY ROAD,WEST BEND,WI,53095,WASHINGTON,(262) 334-5533,Acute Care Hospitals,Voluntary non-profit - Private
+87380,BAPTIST HEALTH FLOYD,1850 STATE ST,NEW ALBANY,IN,47150,FLOYD,(812) 944-7701,Acute Care Hospitals,Voluntary non-profit - Private
+31777,MEMORIAL MEDICAL CENTER,815 N VIRGINIA STREET,PORT LAVACA,TX,77979,CALHOUN,(361) 552-6713,Critical Access Hospitals,Government - Local
+70978,LEXINGTON MEMORIAL HOSPITAL INC,250 HOSPITAL DRIVE PO BOX 1817,LEXINGTON,NC,27293,DAVIDSON,(336) 248-5161,Acute Care Hospitals,Voluntary non-profit - Private
+62795,COMMUNITY MEMORIAL HOSPITAL,111 W 10TH AVE  POST OFFICE BOX 420,REDFIELD,SD,57469,SPINK,(605) 472-1110,Critical Access Hospitals,Government - Local
+72851,96th Medical Group (Eglin AFB),96 MDG 307 Boatner Rd Suite 114,Eglin AFB,FL,32542,OKALOOSA,(850) 883-8600,Acute Care - Department of Defense,Department of Defense
+70215,CAPITAL DISTRICT PSYCH CENTER,75 NEW SCOTLAND AVE,ALBANY,NY,12208,ALBANY,(845) 398-5566,Psychiatric,Government - State
+18045,CRISP REGIONAL HOSPITAL,902 7TH STREET NORTH,CORDELE,GA,31015,CRISP,(229) 276-3100,Acute Care Hospitals,Government - Hospital District or Authority
+38875,ARKANSAS SURGICAL HOSPITAL,5201 NORTH SHORE DRIVE,NO LITTLE ROCK,AR,72118,PULASKI,(501) 748-8000,Acute Care Hospitals,Proprietary
+29419,HONORHEALTH DEER VALLEY MEDICAL CENTER,19829 NORTH 27TH AVENUE,PHOENIX,AZ,85027,MARICOPA,(623) 879-6100,Acute Care Hospitals,Voluntary non-profit - Private
+90339,COLLEGE HOSPITAL,10802 COLLEGE PL,CERRITOS,CA,90703,LOS ANGELES,(562) 924-9581,Psychiatric,Proprietary
+80949,SUTTER SOLANO MEDICAL CENTER,300 HOSPITAL DR,VALLEJO,CA,94589,SOLANO,(707) 554-5280,Acute Care Hospitals,Voluntary non-profit - Private
+91971,KINGSBORO PSYCHIATRIC HOSPITAL,681 CLARKSON AVENUE,BROOKLYN,NY,11203,KINGS,(718) 221-7395,Psychiatric,Government - State
+73848,UNC ROCKINGHAM,117 E KINGS HIGHWAY,EDEN,NC,27288,ROCKINGHAM,(336) 623-9711,Acute Care Hospitals,Voluntary non-profit - Private
+94685,ADMIN DE SERVICIOS MEDICOS  PUERTO RIC,BO MONACILLO CARR NUM 22,SAN JUAN,PR,935,SAN JUAN,(787) 777-3535,Acute Care Hospitals,Government - Local
+46039,LIVINGSTON HEALTHCARE,320 ALPENGLOW LANE,LIVINGSTON,MT,59047,PARK,(406) 222-3541,Critical Access Hospitals,Voluntary non-profit - Private
+88492,"ST FRANCIS HOSPITAL, ROSLYN",100 PORT WASHINGTON BOULEVARD,ROSLYN,NY,11576,NASSAU,(516) 562-6000,Acute Care Hospitals,Voluntary non-profit - Church
+20930,PIH HEALTH HOSPITAL-WHITTIER,12401 WASHINGTON BLVD,WHITTIER,CA,90602,LOS ANGELES,(526) 698-0811,Acute Care Hospitals,Voluntary non-profit - Private
+64536,FULTON COUNTY MEDICAL CENTER,214 PEACH ORCHARD ROAD,MCCONNELLSBURG,PA,17233,FULTON,(717) 485-3155,Critical Access Hospitals,Voluntary non-profit - Private
+14377,HCA HOUSTON HEALTHCARE WEST,12141 RICHMOND AVE,HOUSTON,TX,77082,HARRIS,(281) 588-8080,Acute Care Hospitals,Proprietary
+46587,MCCONE COUNTY HEALTH CENTER,605 SULLIVAN AVE,CIRCLE,MT,59215,MCCONE,(406) 485-3381,Critical Access Hospitals,Voluntary non-profit - Private
+77225,FRIO REGIONAL HOSPITAL,200 S IH 35,PEARSALL,TX,78061,FRIO,(830) 334-3617,Critical Access Hospitals,Voluntary non-profit - Private
+82306,OGDEN REGIONAL MEDICAL CENTER,5475 SOUTH 500 EAST,OGDEN,UT,84405,WEBER,(801) 479-2111,Acute Care Hospitals,Proprietary
+31213,TRINITY BETTENDORF,4500 UTICA RIDGE ROAD,BETTENDORF,IA,52722,SCOTT,(563) 742-5000,Acute Care Hospitals,Voluntary non-profit - Private
+46105,"NORTHERN COCHISE COMMUNITY HOSPITAL, INC.",901 WEST REX ALLEN DRIVE,WILLCOX,AZ,85643,COCHISE,(520) 384-3541,Critical Access Hospitals,Government - Hospital District or Authority
+38436,SAN JUAN REGIONAL MEDICAL CENTER,801 WEST MAPLE STREET,FARMINGTON,NM,87401,SAN JUAN,(505) 609-2000,Acute Care Hospitals,Voluntary non-profit - Private
+17425,MOREHOUSE GENERAL HOSPITAL,323 W WALNUT,BASTROP,LA,71220,MOREHOUSE,(318) 283-3600,Acute Care Hospitals,Government - Hospital District or Authority
+31000,ST LUKE'S HOSPITAL-GNADEN HUETTEN CAMPUS,211 NORTH 12TH STREET,LEHIGHTON,PA,18235,CARBON,(607) 377-1300,Acute Care Hospitals,Voluntary non-profit - Private
+18227,LABETTE HEALTH,1902 SOUTH US HWY 59,PARSONS,KS,67357,LABETTE,(620) 421-4880,Acute Care Hospitals,Government - Local
+77754,CHOCTAW NATION HEALTH SERVICES AUTHORITY,1 CHOCTAW WAY,TALIHINA,OK,74571,LATIMER,(918) 567-7000,Acute Care Hospitals,Tribal
+49444,PRATTVILLE BAPTIST HOSPITAL,124 S MEMORIAL DR,PRATTVILLE,AL,36067,AUTAUGA,(334) 361-4267,Acute Care Hospitals,Government - Hospital District or Authority
+91677,MEMORIAL MEDICAL CENTER,1615 MAPLE LANE,ASHLAND,WI,54806,ASHLAND,(715) 685-5500,Critical Access Hospitals,Voluntary non-profit - Private
+73901,PHYSICIANS MEDICAL CENTER,218 CORPORATE DRIVE,HOUMA,LA,70360,TERREBONNE,(985) 853-1390,Acute Care Hospitals,Physician
+24610,AVITA ONTARIO,715 RICHLAND MALL,ONTARIO,OH,44906,RICHLAND,(567) 307-7666,Acute Care Hospitals,Voluntary non-profit - Private
+41738,NORTON SOUND REGIONAL HOSPITAL,1000 GREG KRUSCHEK AVENUE (P O BOX 966),NOME,AK,99762,NOME,(907) 443-3311,Critical Access Hospitals,Tribal
+66722,SANTA YNEZ VALLEY COTTAGE HOSPITAL,2050 VIBORG RD,SOLVANG,CA,93463,SANTA BARBARA,(805) 688-6431,Critical Access Hospitals,Voluntary non-profit - Private
+20218,MOUNT GRANT GENERAL HOSPITAL,200 SOUTH A ST,HAWTHORNE,NV,89415,MINERAL,(702) 945-2461,Critical Access Hospitals,Government - Hospital District or Authority
+44013,NEWMAN REGIONAL HEALTH,1201 WEST 12TH AVENUE,EMPORIA,KS,66801,LYON,(620) 343-6800,Critical Access Hospitals,Government - Local
+90155,GLENDORA COMMUNITY HOSPITAL,150 WEST ROUTE 66,GLENDORA,CA,91740,LOS ANGELES,(626) 335-0231,Acute Care Hospitals,Proprietary
+47818,TENNOVA HEALTHCARE-NEWPORT MEDICAL CENTER,435 2ND ST,NEWPORT,TN,37821,COCKE,(423) 625-2200,Acute Care Hospitals,Voluntary non-profit - Church
+40338,MERCY HEALTH - TIFFIN HOSPITAL,45 ST LAWRENCE DRIVE,TIFFIN,OH,44883,SENECA,(419) 455-7000,Acute Care Hospitals,Voluntary non-profit - Church
+17455,MERIT HEALTH RANKIN,350 CROSSGATES BLVD,BRANDON,MS,39042,RANKIN,(601) 825-2811,Acute Care Hospitals,Proprietary
+10344,BELLEVUE HOSPITAL CENTER,462 FIRST AVENUE,NEW YORK,NY,10016,NEW YORK,(212) 562-4141,Acute Care Hospitals,Government - Local
+74775,BANNER ESTRELLA MEDICAL CENTER,9201 WEST THOMAS ROAD,PHOENIX,AZ,85037,MARICOPA,(623) 327-4000,Acute Care Hospitals,Voluntary non-profit - Private
+22782,HENNEPIN COUNTY MEDICAL CENTER 1,701 PARK AVENUE,MINNEAPOLIS,MN,55415,HENNEPIN,(612) 873-3629,Acute Care Hospitals,Government - Local
+30857,CHI ST ALEXIUS HEALTH WILLISTON,1301 15TH AVE W,WILLISTON,ND,58801,WILLIAMS,(701) 774-7400,Critical Access Hospitals,Voluntary non-profit - Church
+70339,CANYON VISTA MEDICAL CENTER,5700 EAST HIGHWAY 90,SIERRA VISTA,AZ,85635,COCHISE,(520) 263-3001,Acute Care Hospitals,Voluntary non-profit - Other
+71164,PORTSMOUTH REGIONAL HOSPITAL,333 BORTHWICK AVE,PORTSMOUTH,NH,3801,ROCKINGHAM,(603) 436-5110,Acute Care Hospitals,Proprietary
+10143,TETON VALLEY HOSPITAL,120 EAST HOWARD AVE,DRIGGS,ID,83422,TETON,(208) 354-2383,Critical Access Hospitals,Voluntary non-profit - Private
+23336,ODESSA MEMORIAL HEALTHCARE CENTER,502 E AMENDE DRIVE,ODESSA,WA,99159,LINCOLN,(509) 982-2611,Critical Access Hospitals,Government - Hospital District or Authority
+26084,RAY COUNTY MEMORIAL HOSPITAL,904 WOLLARD BOULEVARD,RICHMOND,MO,64085,RAY,(816) 470-5432,Critical Access Hospitals,Government - Local
+28189,WASHINGTON COUNTY HOSPITAL,304 E 3RD STREET,WASHINGTON,KS,66968,WASHINGTON,(785) 325-2211,Critical Access Hospitals,Government - Local
+51652,GUTHRIE TOWANDA MEMORIAL HOSPITAL,91 HOSPITAL DRIVE,TOWANDA,PA,18848,BRADFORD,(570) 265-2191,Acute Care Hospitals,Voluntary non-profit - Private
+51120,SHRINERS HOSPITALS FOR CHILDREN - SALT LAKE CITY,1275 EAST FAIRFAX ROAD,SALT LAKE CITY,UT,84103,SALT LAKE,(801) 536-3500,Childrens,Voluntary non-profit - Private
+84712,WILSON MEMORIAL HOSPITAL,915 WEST MICHIGAN STREET,SIDNEY,OH,45365,SHELBY,(937) 498-5405,Acute Care Hospitals,Voluntary non-profit - Private
+61646,BAYLOR SCOTT & WHITE MEDICAL CENTER- WAXAHACHIE,2400 N INTERSTATE HIGHWAY 35E,WAXAHACHIE,TX,75165,ELLIS,(972) 923-7000,Acute Care Hospitals,Voluntary non-profit - Private
+86389,GRAFTON CITY HOSPITAL,1 HOSPITAL PLAZA,GRAFTON,WV,26354,TAYLOR,(304) 265-0400,Critical Access Hospitals,Voluntary non-profit - Private
+44288,CAMPBELL COUNTY MEMORIAL HOSPITAL,501 SOUTH BURMA AVENUE,GILLETTE,WY,82716,CAMPBELL,(307) 688-1551,Acute Care Hospitals,Government - Hospital District or Authority
+82180,ST VINCENT CARMEL HOSPITAL INC,13500 N MERIDIAN ST,CARMEL,IN,46032,HAMILTON,(317) 582-7000,Acute Care Hospitals,Voluntary non-profit - Church
+27969,CORYELL MEMORIAL HEALTHCARE SYSTEM,1507 W MAIN STREET,GATESVILLE,TX,76528,CORYELL,(254) 865-8251,Critical Access Hospitals,Government - Hospital District or Authority
+16307,NORTHERN MAINE MEDICAL CENTER,194 E MAIN STREET,FORT KENT,ME,4743,AROOSTOOK,(207) 834-3195,Acute Care Hospitals,Voluntary non-profit - Private
+41327,LEGACY MERIDIAN PARK MEDICAL CENTER,19300 SW 65TH AVENUE,TUALATIN,OR,97062,WASHINGTON,(503) 692-2182,Acute Care Hospitals,Voluntary non-profit - Private
+83486,BANNER FORT COLLINS MEDICAL CENTER,4700 LADY MOON DRIVE,FORT COLLINS,CO,80528,LARIMER,(970) 821-4000,Acute Care Hospitals,Voluntary non-profit - Other
+20404,BUFFALO PSYCHIATRIC CENTER,400 FOREST AVE,BUFFALO,NY,14213,ERIE,(716) 885-2261,Psychiatric,Government - State
+70786,DOMINICAN HOSPITAL,1555 SOQUEL DRIVE,SANTA CRUZ,CA,95065,SANTA CRUZ,(831) 462-7700,Acute Care Hospitals,Proprietary
+37214,NOR-LEA HOSPITAL DISTRICT,1600 NORTH MAIN AVE,LOVINGTON,NM,88260,LEA,(575) 396-6611,Critical Access Hospitals,Government - Hospital District or Authority
+68162,CARILION NEW RIVER VALLEY MEDICAL CENTER,2900 LAMB CIRCLE,CHRISTIANSBURG,VA,24073,MONTGOMERY,(540) 731-2000,Acute Care Hospitals,Voluntary non-profit - Private
+16517,ROCKVILLE GENERAL HOSPITAL,31 UNION ST,ROCKVILLE,CT,6066,TOLLAND,(860) 872-5160,Acute Care Hospitals,Proprietary
+21061,RIVER PARK HOSPITAL,1230 SIXTH AVENUE,HUNTINGTON,WV,25701,CABELL,(304) 526-9100,Psychiatric,Proprietary
+51317,NOVANT HEALTH PRESBYTERIAN MEDICAL CENTER,200 HAWTHORNE LANE BOX 33549,CHARLOTTE,NC,28233,MECKLENBURG,(704) 384-4000,Acute Care Hospitals,Voluntary non-profit - Private
+48157,WESTCHESTER MEDICAL CENTER,100 WOODS RD,VALHALLA,NY,10595,WESTCHESTER,(914) 493-7000,Acute Care Hospitals,Government - Hospital District or Authority
+85904,SANPETE VALLEY HOSPITAL - CAH,1100 SOUTH MEDICAL DRIVE,MOUNT PLEASANT,UT,84647,SANPETE,(435) 462-4123,Critical Access Hospitals,Voluntary non-profit - Private
+21964,STAMFORD HOSPITAL,ONE HOSPITAL PLAZA,STAMFORD,CT,6904,FAIRFIELD,(203) 276-1000,Acute Care Hospitals,Voluntary non-profit - Private
+53285,SWEDISH MEDICAL CENTER,747 BROADWAY,SEATTLE,WA,98122,KING,(206) 386-6000,Acute Care Hospitals,Voluntary non-profit - Private
+17221,FULTON COUNTY HEALTH CENTER,725 SOUTH SHOOP AVENUE,WAUSEON,OH,43567,FULTON,(419) 335-2015,Critical Access Hospitals,Voluntary non-profit - Private
+15207,MAYO CLINIC HEALTH SYSTEM-SPRINGFIELD,625 JACKSON AVENUE NORTH,SPRINGFIELD,MN,56087,BROWN,(507) 723-6201,Critical Access Hospitals,Voluntary non-profit - Private
+10801,HEMPHILL COUNTY HOSPITAL,1020 S 4TH ST,CANADIAN,TX,79014,HEMPHILL,(806) 323-6622,Acute Care Hospitals,Government - Hospital District or Authority
+22128,PINE REST CHRISTIAN MENTAL HEALTH SERVICES,"300 - 68TH STREET, SE",GRAND RAPIDS,MI,49548,KENT,(616) 455-5000,Psychiatric,Government - Federal
+80059,"MERCY HOSPITAL WATONGA, INC",500 NORTH CLARENCE NASH BOULEVARD,WATONGA,OK,73772,BLAINE,(580) 623-7211,Critical Access Hospitals,Voluntary non-profit - Private
+81775,FAYETTE MEDICAL CENTER,1653 TEMPLE AVENUE NORTH,FAYETTE,AL,35555,FAYETTE,(205) 932-5966,Acute Care Hospitals,Voluntary non-profit - Other
+71733,WEST KENDALL BAPTIST HOSPITAL,9555 SW 162 AVE,MIAMI,FL,33196,MIAMI-DADE,(786) 467-2011,Acute Care Hospitals,Voluntary non-profit - Private
+49971,RIVERSIDE TAPPAHANNOCK HOSPITAL,618 HOSPITAL ROAD,TAPPAHANNOCK,VA,22560,ESSEX,(804) 443-6189,Acute Care Hospitals,Voluntary non-profit - Private
+69723,DUKES MEMORIAL HOSPITAL,275 W 12TH ST,PERU,IN,46970,MIAMI,(765) 472-8000,Critical Access Hospitals,Voluntary non-profit - Private
+33648,SIDNEY REGIONAL MEDICAL CENTER,1000 POLE CREEK CROSSING,SIDNEY,NE,69162,CHEYENNE,(308) 254-5825,Critical Access Hospitals,Voluntary non-profit - Private
+54557,UNIVERSITY OF MARYLAND MEDICAL CENTER,22 SOUTH  GREENE STREET,BALTIMORE,MD,21201,BALTIMORE CITY,(410) 328-8667,Acute Care Hospitals,Voluntary non-profit - Private
+92453,MARTHA'S VINEYARD HOSPITAL INC,"ONE HOSPITAL ROAD, FIRST FL, WING 5,  PO BOX 1477",OAK BLUFFS,MA,2557,DUKES,(508) 693-0410,Critical Access Hospitals,Voluntary non-profit - Private
+46927,VAL VERDE REGIONAL MEDICAL CENTER,801 BEDELL AVE,DEL RIO,TX,78840,VAL VERDE,(830) 775-8566,Acute Care Hospitals,Proprietary
+45817,ST MICHAEL'S HOSPITAL - CAH,410 W 16TH AVE,TYNDALL,SD,57066,BON HOMME,(605) 589-2100,Critical Access Hospitals,Government - Local
+19215,SPECTRUM HEALTH KELSEY HOSPITAL,418 WASHINGTON,LAKEVIEW,MI,48850,MONTCALM,(989) 352-7211,Critical Access Hospitals,Voluntary non-profit - Private
+36952,WEISMAN CHILDRENS REHABILITATION HOSPITAL,"92 BRICK ROAD, 3RD FLOOR",MARLTON,NJ,8053,BURLINGTON,(856) 489-4520,Childrens,Proprietary
+39162,HICKORY TRAIL HOSPITAL,2000 N OLD HICKORY TRAIL,DESOTO,TX,75115,DALLAS,(972) 298-7323,Psychiatric,Proprietary
+30701,LAKE REGION HEALTHCARE CORPORATION,712 SOUTH CASCADE,FERGUS FALLS,MN,56537,OTTER TAIL,(218) 736-8000,Acute Care Hospitals,Voluntary non-profit - Private
+80963,CHILDREN'S HOSPITAL & MEDICAL CENTER,8200 DODGE ST,OMAHA,NE,68114,DOUGLAS,(402) 955-5400,Childrens,Voluntary non-profit - Private
+38561,FRANKLIN MEDICAL CENTER,2106 LOOP ROAD,WINNSBORO,LA,71295,FRANKLIN,(318) 435-9411,Acute Care Hospitals,Government - Hospital District or Authority
+11733,SELF REGIONAL HEALTHCARE,1325 SPRING STREET,GREENWOOD,SC,29646,GREENWOOD,(864) 227-4111,Acute Care Hospitals,Voluntary non-profit - Private
+86087,UAB CALLAHAN EYE HOSPITAL AUTHORITY,"1720 UNIVERSITY BLVD, SUITE 500",BIRMINGHAM,AL,35233,JEFFERSON,(205) 325-8100,Acute Care Hospitals,Voluntary non-profit - Private
+12559,ST ELIZABETH FT THOMAS,85 NORTH GRAND AVENUE,FORT THOMAS,KY,41075,CAMPBELL,(859) 572-3100,Acute Care Hospitals,Voluntary non-profit - Private
+77848,SHOALS HOSPITAL,201 WEST AVALON AVENUE,MUSCLE SHOALS,AL,35661,COLBERT,(256) 386-1601,Acute Care Hospitals,Government - Hospital District or Authority
+18492,EASTSIDE PSYCHIATRIC HOSPITAL,"2634B CAPITAL CIRCLE NE, 2ND FLR",TALLAHASSEE,FL,32308,LEON,(904) 487-2930,Psychiatric,Voluntary non-profit - Private
+23359,VALLEY HOSPITAL MEDICAL CENTER,620 SHADOW LANE,LAS VEGAS,NV,89106,CLARK,(702) 388-4000,Acute Care Hospitals,Proprietary
+55188,DAVIESS COMMUNITY HOSPITAL,1314 E WALNUT ST,WASHINGTON,IN,47501,DAVIESS,(812) 254-2760,Acute Care Hospitals,Government - Local
+37912,AVERA HOLY FAMILY HOSPITAL,826 NORTH 8TH STREET,ESTHERVILLE,IA,51334,EMMET,(712) 362-2631,Critical Access Hospitals,Voluntary non-profit - Church
+84547,EASTON HOSPITAL,250 SOUTH 21ST STREET,EASTON,PA,18042,NORTHAMPTON,(610) 250-4076,Acute Care Hospitals,Proprietary
+53835,ST LUKE'S HOSPITAL AT THE VINTAGE,20171 CHASEWOOD PARK DRIVE,HOUSTON,TX,77070,HARRIS,(832) 534-5000,Acute Care Hospitals,Proprietary
+75503,CENTRAL LOUISIANA STATE HOSPITAL,242 W SHAMROCK STREET,PINEVILLE,LA,71361,RAPIDES,(318) 484-6200,Psychiatric,Government - State
+83271,MONTEFIORE MOUNT VERNON HOSPITAL,12 NORTH 7TH AVENUE,MOUNT VERNON,NY,10550,WESTCHESTER,(914) 664-8000,Acute Care Hospitals,Voluntary non-profit - Private
+71405,BARAGA COUNTY MEMORIAL HOSPITAL,18341 US HIGHWAY 41,L' ANSE,MI,49946,BARAGA,(906) 524-3300,Critical Access Hospitals,Government - Local
+39812,HEALTHEAST ST JOHN'S HOSPITAL,1575 BEAM AVENUE,MAPLEWOOD,MN,55109,RAMSEY,(651) 232-7000,Acute Care Hospitals,Voluntary non-profit - Private
+68287,VERMONT PSYCHIATRIC CARE HOSPITAL,350 FISHER ROAD,BERLIN,VT,5602,WASHINGTON,(802) 888-6770,Psychiatric,Government - State
+59269,SOJOURN AT SENECA,50 ST LAWRENCE DRIVE,TIFFIN,OH,44883,SENECA,(567) 207-2230,Psychiatric,Voluntary non-profit - Private
+34357,ROYAL OAKS HOSPITAL,307 N MAIN,WINDSOR,MO,65360,HENRY,(660) 647-2182,Psychiatric,Voluntary non-profit - Private
+21371,TEXAS HEALTH PRESBYTERIAN HOSPITAL ALLEN,1105 CENTRAL EXPRESSWAY NORTH,ALLEN,TX,75013,COLLIN,(972) 747-6197,Acute Care Hospitals,Government - Federal
+18808,CENTINELA HOSPITAL MEDICAL CENTER,555 EAST HARDY STREET,INGLEWOOD,CA,90301,LOS ANGELES,(310) 673-4660,Acute Care Hospitals,Proprietary
+68241,PRISMA HEALTH  PATEWOOD HOSPITAL,175 PATEWOOD DRIVE,GREENVILLE,SC,29615,GREENVILLE,(864) 797-1000,Acute Care Hospitals,Voluntary non-profit - Private
+31868,BRUNSWICK PSYCH CENTER,366 BROADWAY,AMITYVILLE,NY,11701,SUFFOLK,(516) 789-7000,Psychiatric,Proprietary
+22297,CHRISTUS MOTHER FRANCES HOSPITAL- JACKSONVILLE,2026 S JACKSON STREET,JACKSONVILLE,TX,75766,CHEROKEE,(903) 541-4500,Critical Access Hospitals,Voluntary non-profit - Private
+66568,ST JAMES HEALTHCARE,400 S CLARK ST,BUTTE,MT,59701,SILVER BOW,(406) 723-2500,Acute Care Hospitals,Voluntary non-profit - Private
+67860,OZARKS COMMUNITY HOSPITAL OF GRAVETTE,1101 JACKSON STREET SW,GRAVETTE,AR,72736,BENTON,(479) 787-5291,Critical Access Hospitals,Proprietary
+83946,SOUTH PENINSULA HOSPITAL,4300 BARTLETT ST,HOMER,AK,99603,KENAI PENINSULA,(907) 235-8101,Critical Access Hospitals,Voluntary non-profit - Private
+69904,AURORA MEDICAL CTR OSHKOSH,855 N WESTHAVEN DRIVE,OSHKOSH,WI,54904,WINNEBAGO,(920) 456-6000,Acute Care Hospitals,Voluntary non-profit - Private
+21105,BRYAN W. WHITFIELD MEMORIAL HOSPITAL,105 HIGHWAY 80 EAST,DEMOPOLIS,AL,36732,MARENGO,(334) 289-4000,Acute Care Hospitals,Government - Hospital District or Authority
+23213,ADVENTHEALTH HEART OF FLORIDA,40100 HWY 27,DAVENPORT,FL,33837,POLK,(863) 422-4971,Acute Care Hospitals,Proprietary
+13929,KAISER FOUNDATION HOSPITAL - DOWNEY,9333 IMPERIAL HIGHWAY,DOWNEY,CA,90242,LOS ANGELES,(562) 461-6007,Acute Care Hospitals,Voluntary non-profit - Other
+27854,ORTHOPAEDIC HOSPITAL OF WISCONSIN,475 W RIVER WOODS PKWY,GLENDALE,WI,53212,MILWAUKEE,(414) 961-6800,Acute Care Hospitals,Voluntary non-profit - Other
+20079,ROANE MEDICAL CENTER,8045 ROANE MEDICAL CENTER DRIVE,HARRIMAN,TN,37748,ROANE,(865) 316-1000,Acute Care Hospitals,Government - Hospital District or Authority
+85014,ARKANSAS METHODIST MEDICAL CENTER,900 WEST KINGSHIGHWAY,PARAGOULD,AR,72450,GREENE,(870) 239-7000,Acute Care Hospitals,Voluntary non-profit - Private
+76529,NORTH METRO MEDICAL CENTER,1400 BRADEN STREET,JACKSONVILLE,AR,72076,PULASKI,(501) 985-7000,Acute Care Hospitals,Proprietary
+68044,PROVIDENCE CENTRALIA HOSPITAL,914 S SCHEUBER ROAD,CENTRALIA,WA,98531,LEWIS,(360) 736-2803,Acute Care Hospitals,Voluntary non-profit - Other
+62538,BOONE COUNTY HEALTH CENTER,"P O BOX 151, 723 WEST FAIRVIEW ST",ALBION,NE,68620,BOONE,(402) 395-2191,Critical Access Hospitals,Government - Local
+75961,LINCOLN MEDICAL CENTER,106 MEDICAL CENTER BLVD,FAYETTEVILLE,TN,37334,LINCOLN,(931) 438-1100,Acute Care Hospitals,Government - Local
+63548,MUNSON HEALTHCARE CHARLEVOIX HOSPITAL,14700 LAKESHORE DRIVE,CHARLEVOIX,MI,49720,CHARLEVOIX,(231) 547-4024,Critical Access Hospitals,Voluntary non-profit - Other
+16675,"OMEGA HOSPITAL, LLC",2525 SEVERN AVENUE,METAIRIE,LA,70002,JEFFERSON,(504) 849-4900,Acute Care Hospitals,Proprietary
+61684,MUSC HEALTH MARION MEDICAL CENTER,2829 E HWY 76,MULLINS,SC,29574,MARION,(843) 431-2000,Acute Care Hospitals,Government - State
+74869,WEST RIVER REGIONAL MEDICAL CENTER-CAH,1000 HIGHWAY 12,HETTINGER,ND,58639,ADAMS,(701) 567-4561,Critical Access Hospitals,Voluntary non-profit - Private
+56175,SETON MEDICAL CENTER,1900 SULLIVAN AVENUE,DALY CITY,CA,94015,SAN MATEO,(650) 992-4000,Acute Care Hospitals,Voluntary non-profit - Church
+76094,MCLEOD MEDICAL CENTER - DILLON,301 E JACKSON STREET PO BOX 1327,DILLON,SC,29536,DILLON,(843) 774-4111,Acute Care Hospitals,Voluntary non-profit - Private
+83526,PEACE HARBOR MEDICAL CENTER,400 9TH STREET,FLORENCE,OR,97439,LANE,(541) 997-8412,Critical Access Hospitals,Voluntary non-profit - Church
+32542,THREE RIVERS BEHAVIORAL HEALTH,2900 SUNSET BOULEVARD,WEST COLUMBIA,SC,29169,LEXINGTON,(803) 796-9911,Psychiatric,Proprietary
+24718,SUTTER DAVIS HOSPITAL,2000 SUTTER PLACE,DAVIS,CA,95616,YOLO,(530) 756-6440,Acute Care Hospitals,Voluntary non-profit - Private
+93192,LEGACY SILVERTON MEDICAL CENTER,342 FAIRVIEW STREET,SILVERTON,OR,97381,MARION,(503) 873-1500,Acute Care Hospitals,Voluntary non-profit - Private
+13430,CLAIBORNE COUNTY HOSPITAL,123 MCCOMB AVENUE,PORT GIBSON,MS,39150,CLAIBORNE,(601) 437-5141,Critical Access Hospitals,Government - Local
+77042,SUMMA WESTERN RESERVE HOSPITAL,1900 23RD STREET,CUYAHOGA FALLS,OH,44223,SUMMIT,(330) 971-7000,Acute Care Hospitals,Voluntary non-profit - Other
+93043,SWAIN COUNTY HOSPITAL,45 PLATEAU STREET,BRYSON CITY,NC,28713,SWAIN,(828) 488-2155,Critical Access Hospitals,Voluntary non-profit - Private
+61795,ASHLAND HEALTH CENTER,625 SOUTH KENTUCKY,ASHLAND,KS,67831,CLARK,(620) 635-2241,Critical Access Hospitals,Voluntary non-profit - Other
+94934,TEXAS ORTHOPEDIC HOSPITAL,7401 SOUTH MAIN STREET,HOUSTON,TX,77030,HARRIS,(713) 799-8600,Acute Care Hospitals,Voluntary non-profit - Other
+77370,CYPRESS CREEK HOSPITAL,17750 CALI DRIVE,HOUSTON,TX,77090,HARRIS,(281) 586-7600,Psychiatric,Proprietary
+70055,AURORA BEHAVIORAL HEALTH SYSTEM,6015 WEST PEORIA  AVENUE,GLENDALE,AZ,85302,MARICOPA,(623) 344-4400,Psychiatric,Proprietary
+92519,NEW YORK-PRESBYTERIAN/HUDSON VALLEY HOSPITAL,1980 CROMPOND ROAD,CORTLANDT MANOR,NY,10567,WESTCHESTER,(914) 734-3611,Acute Care Hospitals,Voluntary non-profit - Private
+94110,ST JOSEPH'S BEHAVIORAL HEALTH CENTER,2510 N  CALIFORNIA ST,STOCKTON,CA,95204,SAN JOAQUIN,(209) 461-2000,Psychiatric,Voluntary non-profit - Private
+85068,OCEANS BEHAVIORAL HOSPITAL OF FORT WORTH,6200 OVERTON RIDGE BLVD,FORT WORTH,TX,76132,TARRANT,(817) 361-1991,Psychiatric,Proprietary
+21440,PERRY COMMUNITY HOSPITAL,2718 SQUIRREL HOLLOW DRIVE,LINDEN,TN,37096,PERRY,(931) 589-2121,Acute Care Hospitals,Proprietary
+83685,SALEM REGIONAL MEDICAL CENTER,1995 EAST STATE STREET,SALEM,OH,44460,COLUMBIANA,(330) 332-1551,Acute Care Hospitals,Voluntary non-profit - Private
+22944,ROSELAND COMMUNITY HOSPITAL,45 W 111TH STREET,CHICAGO,IL,60628,COOK,(773) 995-3000,Acute Care Hospitals,Voluntary non-profit - Other
+28739,WAUKESHA MEMORIAL HOSPITAL,725 AMERICAN AVE,WAUKESHA,WI,53188,WAUKESHA,(262) 928-1000,Acute Care Hospitals,Voluntary non-profit - Private
+25968,CARRIS HEALTH LLC,301 BECKER AVE SW,WILLMAR,MN,56201,KANDIYOHI,(320) 235-4543,Acute Care Hospitals,Government - Local
+16031,LOURDES MEDICAL CENTER,520 N FOURTH AVENUE,PASCO,WA,99301,FRANKLIN,(509) 546-2278,Critical Access Hospitals,Voluntary non-profit - Church
+90713,LARABIDA CHILDRENS HOSPITAL I,E 65TH ST AT LAKE MICHIGAN,CHICAGO,IL,60649,COOK,(773) 363-6700,Childrens,Voluntary non-profit - Private
+39429,QUINCY VALLEY HOSPITAL,908 10TH AVENUE SOUTHWEST,QUINCY,WA,98848,GRANT,(509) 787-3531,Critical Access Hospitals,Government - Hospital District or Authority
+42423,PALM BEACH GARDENS MEDICAL CENTER,3360 BURNS RD,PALM BEACH GARDENS,FL,33410,PALM BEACH,(561) 622-1411,Acute Care Hospitals,Proprietary
+22744,ST JOSEPH'S MEDICAL CENTER,127 SOUTH BROADWAY,YONKERS,NY,10701,WESTCHESTER,(914) 378-7000,Acute Care Hospitals,Voluntary non-profit - Private
+77147,HARPER UNIVERSITY HOSPITAL,3990 JOHN R STREET,DETROIT,MI,48201,WAYNE,(313) 745-6211,Acute Care Hospitals,Proprietary
+10869,OTTAWA REGIONAL HOSPITAL & HEALTHCARE CENTER,1100 EAST NORRIS DRIVE,OTTAWA,IL,61350,LA SALLE,(815) 433-3100,Acute Care Hospitals,Voluntary non-profit - Private
+34222,GEISINGER MEDICAL CENTER,100 NORTH ACADEMY AVENUE,DANVILLE,PA,17822,MONTOUR,(570) 271-6211,Acute Care Hospitals,Voluntary non-profit - Private
+77099,Walter Reed National Military Med Cen,8901 Rockville Pike,Bethesda,MD,20889,MONTGOMERY,(301) 295-4000,Acute Care - Department of Defense,Department of Defense
+38415,BEHAVIORAL HEALTHCARE CENTER AT CLARKSVILLE,930 PROFESSIONAL PARK DRIVE,CLARKSVILLE,TN,37040,MONTGOMERY,(931) 538-6420,Psychiatric,Proprietary
+47145,MEMORIAL HOSPITAL AT GULFPORT,4500 13TH STREET,GULFPORT,MS,39502,HARRISON,(228) 867-4000,Acute Care Hospitals,Government - Local
+13579,BELLVILLE ST JOSEPH HEALTH CENTER,44 N CUMMINGS ST,BELLVILLE,TX,77418,AUSTIN,(979) 865-3141,Acute Care Hospitals,Government - Hospital District or Authority
+24712,RIVERLAND MEDICAL CENTER,1700  WALLACE BLVD,FERRIDAY,LA,71334,CONCORDIA,(318) 757-6551,Critical Access Hospitals,Government - Hospital District or Authority
+23303,GENESIS HOSPITAL,2951 MAPLE AVENUE,ZANESVILLE,OH,43701,MUSKINGUM,(740) 454-5000,Acute Care Hospitals,Voluntary non-profit - Private
+14945,FLOYD VALLEY HEALTHCARE,714 LINCOLN ST NE,LE MARS,IA,51031,PLYMOUTH,(712) 546-7871,Critical Access Hospitals,Proprietary
+42601,THE QUEENS MEDICAL CENTER,1301 PUNCHBOWL ST,HONOLULU,HI,96813,HONOLULU,(808) 538-9011,Acute Care Hospitals,Voluntary non-profit - Private
+30637,NORTHEAST GEORGIA MEDICAL CENTER BARROW,316 NORTH BROAD STREET,WINDER,GA,30680,BARROW,(770) 848-8611,Acute Care Hospitals,Proprietary
+21858,HEARTLAND BEHAVIORAL HEALTHCARE,3000 ERIE SW,MASSILLON,OH,44648,STARK,(330) 833-3135,Psychiatric,Government - State
+41722,Weed ACH (FT Irwin),166 4th Street,Fort Irwin,CA,92310,SAN BERNARDINO,(866) 957-9224,Acute Care - Department of Defense,Department of Defense
+60422,CHIPPEWA COUNTY WAR MEMORIAL HOSPITAL,500 OSBORN BLVD,SAULT SAINTE MARIE,MI,49783,CHIPPEWA,(906) 635-4460,Acute Care Hospitals,Voluntary non-profit - Private
+84247,MEDSTAR FRANKLIN SQUARE MEDICAL CENTER,9000 FRANKLIN SQUARE DRIVE,BALTIMORE,MD,21237,BALTIMORE,(443) 777-7850,Acute Care Hospitals,Voluntary non-profit - Private
+19831,"MERCY HOSPITAL LOGAN COUNTY, INC",200 S ACADEMY RD,GUTHRIE,OK,73044,LOGAN,(405) 282-6700,Critical Access Hospitals,Voluntary non-profit - Private
+86839,HANNIBAL REGIONAL HOSPITAL,6000 HOSPITAL DR,HANNIBAL,MO,63401,MARION,(573) 248-1300,Acute Care Hospitals,Voluntary non-profit - Private
+59072,GREATER BALTIMORE MEDICAL CENTER,6701 NORTH  CHARLES STREET,BALTIMORE,MD,21204,BALTIMORE,(443) 849-2000,Acute Care Hospitals,Voluntary non-profit - Private
+17790,SAMUEL MAHELONA MEMORIAL HOSPITAL,4800 KAWAIHAU ROAD,KAPAA,HI,96746,KAUAI,(808) 822-4961,Critical Access Hospitals,Government - State
+28241,TRINITY MUSCATINE,1518 MULBERRY AVENUE,MUSCATINE,IA,52761,MUSCATINE,(563) 264-9100,Acute Care Hospitals,Voluntary non-profit - Private
+45155,PAGOSA SPRINGS MEDICAL CENTER,95 SOUTH PAGOSA BOULEVARD,PAGOSA SPRINGS,CO,81147,ARCHULETA,(970) 731-3700,Critical Access Hospitals,Government - Hospital District or Authority
+30054,LAREDO MEDICAL CENTER,1700 EAST SAUNDERS,LAREDO,TX,78044,WEBB,(956) 796-5000,Acute Care Hospitals,Proprietary
+88482,STONE COUNTY MEDICAL CENTER,2106 EAST MAIN STREET,MOUNTAIN VIEW,AR,72560,STONE,(870) 269-4361,Critical Access Hospitals,Voluntary non-profit - Private
+44492,WHEELING HOSPITAL,1 MEDICAL PARK,WHEELING,WV,26003,OHIO,(304) 243-3000,Acute Care Hospitals,Voluntary non-profit - Church
+74537,CENTRAL CAROLINA HOSPITAL,1135 CARTHAGE ST,SANFORD,NC,27330,LEE,(919) 774-2100,Acute Care Hospitals,Voluntary non-profit - Private
+36059,SAINT FRANCIS MEMORIAL HOSPITAL,900 HYDE ST,SAN FRANCISCO,CA,94109,SAN FRANCISCO,(415) 353-6000,Acute Care Hospitals,Voluntary non-profit - Private
+28942,SACRED HEART HOSPITAL,421 CHEW STREET,ALLENTOWN,PA,18102,LEHIGH,(610) 776-4900,Acute Care Hospitals,Voluntary non-profit - Private
+76287,COMMUNITY HOSPITAL OF ANDERSON AND MADISON COUNTY,1515 N MADISON AVE,ANDERSON,IN,46011,MADISON,(765) 298-4242,Acute Care Hospitals,Voluntary non-profit - Private
+88951,SAUK PRAIRIE HOSPITAL,260 26TH STREET,PRAIRIE DU SAC,WI,53578,SAUK,(608) 643-3311,Acute Care Hospitals,Voluntary non-profit - Private
+41517,UF HEALTH SHANDS HOSPITAL,1600 SW ARCHER RD,GAINESVILLE,FL,32610,ALACHUA,(352) 265-8000,Acute Care Hospitals,Voluntary non-profit - Private
+75635,MITCHELL COUNTY REGIONAL HEALTH,616 NORTH EIGHTH STREET,OSAGE,IA,50461,MITCHELL,(641) 732-6000,Critical Access Hospitals,Voluntary non-profit - Other
+92001,NEMAHA COUNTY HOSPITAL,2022  13TH ST,AUBURN,NE,68305,NEMAHA,(402) 274-4366,Critical Access Hospitals,Government - Local
+51583,YORK HOSPITAL,15 HOSPITAL DRIVE,YORK,ME,3909,YORK,(207) 363-4321,Acute Care Hospitals,Voluntary non-profit - Private
+73329,ASPIRUS RIVERVIEW HOSPITAL & CLINICS INC,410 DEWEY ST,WISCONSIN RAPIDS,WI,54495,WOOD,(715) 423-6060,Acute Care Hospitals,Voluntary non-profit - Private
+44110,INDIANHEAD MEDICAL CENTER SHELL LAKE,113 4TH AVE,SHELL LAKE,WI,54871,WASHBURN,(715) 468-7833,Critical Access Hospitals,Proprietary
+53009,OCEANS BEHAVIORAL HOSPITAL OF BATON ROUGE,11135 FLORIDA BLVD,BATON ROUGE,LA,70815,E. BATON ROUGE,(225) 356-7030,Psychiatric,Proprietary
+92435,CLARION PSYCHIATRIC CENTER,TWO HOSPITAL DR RD#3 BOX 188,CLARION,PA,16214,CLARION,(814) 226-9545,Psychiatric,Proprietary
+46630,CHILDREN'S HOSPITAL NMC,"111 MICHIGAN AVE, NW",WASHINGTON,DC,20010,THE DISTRICT,(202) 476-5000,Childrens,Voluntary non-profit - Private
+43375,SETON SMITHVILLE REGIONAL HOSPITAL,1201 HILL RD,SMITHVILLE,TX,78957,BASTROP,(512) 237-3214,Acute Care Hospitals,Voluntary non-profit - Church
+36299,SAN JOSE BEHAVIORAL HEALTH,455 SILICON VALLEY BOULEVARD,SAN JOSE,CA,95138,SANTA CLARA,(669) 234-5959,Psychiatric,Proprietary
+46108,LOWELL GENERAL HOSPITAL,295 VARNUM AVENUE,LOWELL,MA,1854,MIDDLESEX,(978) 937-6000,Acute Care Hospitals,Voluntary non-profit - Private
+64002,COMMUNITY HOSPITAL OF HUNTINGTON PARK,2623 E SLAUSON AVE,HUNTINGTON PARK,CA,90255,LOS ANGELES,(323) 583-1931,Acute Care Hospitals,Proprietary
+66255,FLEMING COUNTY HOSPITAL,55 FOUNDATION DRIVE,FLEMINGSBURG,KY,41041,FLEMING,(606) 849-2351,Acute Care Hospitals,Voluntary non-profit - Other
+39149,PROMEDICA COLDWATER REGIONAL HOSPITAL,274 E CHICAGO ST,COLDWATER,MI,49036,BRANCH,(517) 279-5400,Acute Care Hospitals,Government - Local
+52714,SOUTHERN SURGICAL HOSPITAL,1700 W LINDBERG DRIVE,SLIDELL,LA,70458,ST. TAMMANY,(985) 641-0600,Acute Care Hospitals,Physician
+81402,OSF HEART OF MARY MEDICAL CENTER,1400 WEST PARK AVENUE,URBANA,IL,61801,CHAMPAIGN,(217) 337-2000,Acute Care Hospitals,Voluntary non-profit - Church
+13029,HARDIN MEMORIAL HOSPITAL,921 EAST FRANKLIN STREET,KENTON,OH,43326,HARDIN,(419) 673-0761,Critical Access Hospitals,Voluntary non-profit - Private
+22378,ASCENSION COLUMBIA ST MARY'S HOSPITAL MILWAUKEE,2323 N LAKE DR,MILWAUKEE,WI,53211,MILWAUKEE,(414) 585-1374,Acute Care Hospitals,Voluntary non-profit - Church
+80095,HOLLAND COMMUNITY HOSPITAL,602 MICHIGAN AVE,HOLLAND,MI,49423,OTTAWA,(616) 392-5141,Acute Care Hospitals,Voluntary non-profit - Private
+19023,BLACK RIVER COMMUNITY MEDICAL CENTER,217 PHYSICIANS PARK DRIVE,POPLAR BLUFF,MO,63901,BUTLER,(573) 686-6001,Acute Care Hospitals,Voluntary non-profit - Private
+67976,ST LOUISE REGIONAL HOSPITAL,9400 NO NAME UNO,GILROY,CA,95020,SANTA CLARA,(408) 848-2000,Acute Care Hospitals,Voluntary non-profit - Church
+41539,HOSPITAL DAMAS INC,PONCE BY PASS #2213,PONCE,PR,717,PONCE,(787) 840-8460,Acute Care Hospitals,Voluntary non-profit - Private
+89923,ELY BLOOMENSON COMMUNITY HOSPITAL,328 WEST CONAN STREET,ELY,MN,55731,ST. LOUIS,(218) 365-3271,Critical Access Hospitals,Voluntary non-profit - Private
+33276,CHICAGO-READ MENTAL HEALTH CENTER,4200 N OAK PARK AVE,CHICAGO,IL,60634,COOK,(773) 794-4000,Psychiatric,Government - State
+52305,HOUSTON METHODIST ST JOHN HOSPITAL,18300 ST JOHN DRIVE,NASSAU BAY,TX,77058,HARRIS,(281) 333-5503,Acute Care Hospitals,Voluntary non-profit - Private
+71390,WAUPUN MEMORIAL HOSPITAL,620 W BROWN ST,WAUPUN,WI,53963,FOND DU LAC,(920) 324-6512,Critical Access Hospitals,Voluntary non-profit - Private
+58701,AURORA CHICAGO LAKESHORE HOSPITAL,4840 N MARINE DR,CHICAGO,IL,60640,COOK,(773) 878-9700,Psychiatric,Proprietary
+80012,Fort Belvoir Community Hospital,9300 DeWitt Loop,Fort Belvoir,VA,22060,FAIRFAX,(571) 231-3224,Acute Care - Department of Defense,Department of Defense
+48647,DUNDY COUNTY HOSPITAL,"P O BOX 626, 1313 NORTH CHEYENNE ST",BENKELMAN,NE,69021,DUNDY,(308) 423-2204,Critical Access Hospitals,Government - Local
+22129,CAMDEN GENERAL HOSPITAL,175 HOSPITAL DRIVE,CAMDEN,TN,38320,BENTON,(731) 584-0109,Critical Access Hospitals,Government - Hospital District or Authority
+68581,BAPTIST MEMORIAL HOSPITAL DESOTO,7601 SOUTHCREST PARKWAY,SOUTHAVEN,MS,38671,DE SOTO,(662) 772-4000,Acute Care Hospitals,Voluntary non-profit - Private
+44285,INTEGRIS CANADIAN VALLEY HOSPITAL,1201 HEALTH CENTER PARKWAY,YUKON,OK,73099,CANADIAN,(405) 717-6800,Acute Care Hospitals,Voluntary non-profit - Private
+26958,WEST CARROLL MEMORIAL HOSPITAL,706 ROSS STREET,OAK GROVE,LA,71263,WEST CARROLL,(318) 428-3237,Acute Care Hospitals,Proprietary
+94995,CLAIBORNE MEDICAL CENTER,1850 OLD KNOXVILLE HIGHWAY,TAZEWELL,TN,37879,CLAIBORNE,(423) 626-4211,Acute Care Hospitals,Government - Local
+24391,FLAMBEAU HOSPITAL,98 SHERRY AVE,PARK FALLS,WI,54552,PRICE,(715) 762-7500,Critical Access Hospitals,Voluntary non-profit - Private
+71346,LIGHTHOUSE BEHAVIORAL HEALTH HOSPITAL,152 WACCAMAW MEDICAL PARK DRIVE,CONWAY,SC,29526,HORRY,(843) 347-8871,Psychiatric,Proprietary
+51543,UNIVERSITY HOSPITALS PORTAGE MEDICAL CENTER,6847 N CHESTNUT,RAVENNA,OH,44266,PORTAGE,(330) 297-2300,Acute Care Hospitals,Voluntary non-profit - Private
+72572,HALQUIST MEMORIAL INPATIENT CENTER,4715 NORTH 15 STREET,ARLINGTON,VA,22205,ARLINGTON,(703) 525-7070,Acute Care Hospitals,Voluntary non-profit - Private
+67801,CANCER TREATMENT CENTERS OF AMERICA,1331 EAST WYOMING AVENUE,PHILADELPHIA,PA,19124,PHILADELPHIA,(215) 744-6728,Acute Care Hospitals,Voluntary non-profit - Private
+22225,TEXAS CENTER FOR INFECTIOUS DISEASE,2303 SE MILITARY DR P O BOX 23340,SAN ANTONIO,TX,78223,BEXAR,(210) 534-8857,Acute Care Hospitals,Government - State
+93528,SHRINERS HOSPITALS FOR CHILDREN,4400 CLAYTON AVE,SAINT LOUIS,MO,63110,ST. LOUIS CITY,(314) 432-3600,Childrens,Voluntary non-profit - Private
+53826,ST JOHNS PLEASANT VALLEY HOSPITAL,2309 ANTONIO AVE,CAMARILLO,CA,93010,VENTURA,(805) 389-5800,Acute Care Hospitals,Voluntary non-profit - Church
+53660,CITIZENS MEDICAL CENTER,7939 U S HWY 165 SOUTH,COLUMBIA,LA,71418,CALDWELL,(318) 649-6106,Acute Care Hospitals,Government - Hospital District or Authority
+73426,QUAIL CREEK SURGICAL HOSPITAL,6819 PLUM CREEK,AMARILLO,TX,79124,POTTER,(806) 354-6100,Acute Care Hospitals,Proprietary
+59271,RED BAY HOSPITAL,211 HOSPITAL ROAD,RED BAY,AL,35582,FRANKLIN,(256) 356-9532,Critical Access Hospitals,Government - Hospital District or Authority
+20598,PALM POINT BEHAVIORAL HEALTH,2355 TRUMAN SCARBOROUGH WAY,TITUSVILLE,FL,32796,BREVARD,(407) 928-8105,Psychiatric,Proprietary
+11057,STERLING REGIONAL MEDCENTER,615 FAIRHURST ST,STERLING,CO,80751,LOGAN,(970) 522-0122,Acute Care Hospitals,Voluntary non-profit - Private
+65887,TEXAS HEALTH PRESBYTERIAN HOSPITAL ROCKWALL,3150 HORIZON ROAD,ROCKWALL,TX,75032,ROCKWALL,(469) 698-1000,Acute Care Hospitals,Proprietary
+11672,QUAIL RUN BEHAVIORAL HEALTH,2545 WEST QUAIL AVENUE,PHOENIX,AZ,85027,MARICOPA,(602) 455-5700,Psychiatric,Voluntary non-profit - Other
+44335,MONROE COUNTY HOSPITAL,88 MARTIN LUTHER KING JR DRIVE,FORSYTH,GA,31029,MONROE,(478) 994-2521,Critical Access Hospitals,Government - Hospital District or Authority
+20844,WAKEMED,1900 KILDARE FARM ROAD,CARY,NC,27518,WAKE,(919) 350-2550,Acute Care Hospitals,Voluntary non-profit - Private
+23980,GENESIS MEDICAL CENTER-DAVENPORT,1227 EAST RUSHOLME STREET,DAVENPORT,IA,52803,SCOTT,(563) 421-1000,Acute Care Hospitals,Voluntary non-profit - Private
+11680,KALAMAZOO REGIONAL PSYCHIATRIC HOSPITAL,1312 OAKLAND DR,KALAMAZOO,MI,49008,KALAMAZOO,(269) 337-3309,Psychiatric,Government - State
+86251,DANBURY HOSPITAL,24 HOSPITAL AVE,DANBURY,CT,6810,FAIRFIELD,(203) 739-7000,Acute Care Hospitals,Voluntary non-profit - Private
+80016,CHICOT MEMORIAL MEDICAL CENTER,2729 SOUTH HIGHWAY 65 & 82,LAKE VILLAGE,AR,71653,CHICOT,(870) 265-5351,Critical Access Hospitals,Voluntary non-profit - Private
+51957,TAYLOR REGIONAL HOSPITAL,222 PERRY HWY,HAWKINSVILLE,GA,31036,PULASKI,(478) 783-0200,Acute Care Hospitals,Voluntary non-profit - Private
+46858,MAIN LINE HOSPITAL LANKENAU,100 LANCASTER AVE,WYNNEWOOD,PA,19096,MONTGOMERY,(610) 645-2000,Acute Care Hospitals,Voluntary non-profit - Private
+47832,GEORGETOWN COMMUNITY HOSPITAL,1140 LEXINGTON ROAD,GEORGETOWN,KY,40324,SCOTT,(502) 868-1100,Acute Care Hospitals,Proprietary
+56819,CLAIBORNE MEMORIAL MEDICAL CENTER,620 EAST COLLEGE STREET,HOMER,LA,71040,CLAIBORNE,(318) 927-2024,Acute Care Hospitals,Government - Hospital District or Authority
+13899,BRIDGTON HOSPITAL,10 HOSPITAL DRIVE,BRIDGTON,ME,4009,CUMBERLAND,(207) 647-6000,Critical Access Hospitals,Voluntary non-profit - Private
+34362,NOVANT HEALTH THOMASVILLE MEDICAL CENTER,207 OLD LEXINGTON RD BOX 789,THOMASVILLE,NC,27360,DAVIDSON,(336) 472-2000,Acute Care Hospitals,Voluntary non-profit - Private
+68485,WYANDOT MEMORIAL HOSPITAL,885 NORTH SANDUSKY AVENUE,UPPER SANDUSKY,OH,43351,WYANDOT,(419) 294-4991,Critical Access Hospitals,Government - Hospital District or Authority
+62511,VALLEY COUNTY HEALTH SYSTEM,2707 L STREET,ORD,NE,68862,VALLEY,(308) 728-4200,Critical Access Hospitals,Government - Local
+45988,CARY MEDICAL CENTER,"163 VAN BUREN RD, SUITE 1",CARIBOU,ME,4736,AROOSTOOK,(207) 498-3111,Acute Care Hospitals,Government - Local
+24803,LADD MEMORIAL HOSPITAL,2600 65TH AVENUE,OSCEOLA,WI,54020,POLK,(715) 294-2111,Critical Access Hospitals,Voluntary non-profit - Private
+34134,HOLYOKE MEDICAL CENTER,575 BEECH STREET,HOLYOKE,MA,1040,HAMPDEN,(413) 534-2500,Acute Care Hospitals,Voluntary non-profit - Private
+51518,HOSPITAL METROPOLITANO SAN GERMAN,CALLE JAVILLA  #8 AL COSTADO PARQUE DE BOMBAS,SAN GERMAN,PR,683,SAN GERMAN,(787) 892-5300,Acute Care Hospitals,Proprietary
+91894,"LAHEY HOSPITAL & MEDICAL CENTER, BURLINGTON",41 & 45 MALL ROAD,BURLINGTON,MA,1803,MIDDLESEX,(781) 744-5100,Acute Care Hospitals,Voluntary non-profit - Private
+30219,WELLSTAR NORTH FULTON HOSPITAL,3000 HOSPITAL BOULEVARD,ROSWELL,GA,30076,FULTON,(770) 751-2500,Acute Care Hospitals,Proprietary
+11492,PHOENIX INDIAN MEDICAL CENTER,4212 NORTH 16TH STREET,PHOENIX,AZ,85016,MARICOPA,(602) 263-1200,Acute Care Hospitals,Government - Federal
+61383,CASCADE BEHAVIORAL HOSPITAL,12844 MILITARY ROAD SOUTH,TUKWILA,WA,98168,KING,(206) 244-0180,Psychiatric,Proprietary
+13887,KARMANOS CANCER CENTER,4100 JOHN R,DETROIT,MI,48201,WAYNE,(800) 576-6266,Acute Care Hospitals,Proprietary
+79304,MARY IMMACULATE HOSPITAL,2 BERNARDINE DRIVE,NEWPORT NEWS,VA,23602,NEWPORT NEWS CITY,(757) 886-6000,Acute Care Hospitals,Voluntary non-profit - Private
+15952,GEISINGER JERSEY SHORE HOSPITAL,1020 THOMPSON STREET,JERSEY SHORE,PA,17740,LYCOMING,(570) 398-3101,Critical Access Hospitals,Voluntary non-profit - Private
+73428,HSHS ST ELIZABETH'S HOSPITAL,ONE ST ELIZABETH BOULEVARD,O FALLON,IL,62269,ST. CLAIR,(618) 234-2120,Acute Care Hospitals,Voluntary non-profit - Church
+89221,POINCIANA MEDICAL CENTER,325 CYPRESS PKWY,KISSIMMEE,FL,34758,OSCEOLA,(407) 530-2000,Acute Care Hospitals,Proprietary
+67073,PROMEDICA BIXBY HOSPITAL,818 RIVERSIDE AVENUE,ADRIAN,MI,49221,LENAWEE,(517) 265-0900,Acute Care Hospitals,Voluntary non-profit - Private
+85844,REDWOOD MEMORIAL HOSPITAL,3300 RENNER DRIVE,FORTUNA,CA,95540,HUMBOLDT,(707) 445-8121,Critical Access Hospitals,Voluntary non-profit - Private
+77148,CHI HEALTH  - MERCY CORNING,603 ROSARY DRIVE,CORNING,IA,50841,ADAMS,(641) 322-3121,Critical Access Hospitals,Voluntary non-profit - Private
+53276,OCEANS BEHAVIORAL HOSPITAL OF OPELOUSAS,1310 HEATHER DRIVE,OPELOUSAS,LA,70570,ST. LANDRY,(337) 948-8820,Psychiatric,Proprietary
+31409,PARK CITY HOSPITAL,900 ROUND VALLEY DRIVE,PARK CITY,UT,84060,SUMMIT,(435) 658-6700,Acute Care Hospitals,Proprietary
+88694,GRAND RIVER MEDICAL CENTER,501 AIRPORT RD,RIFLE,CO,81650,GARFIELD,(970) 625-1510,Critical Access Hospitals,Government - Hospital District or Authority
+69586,LONESOME PINE HOSPITAL,1990 HOLTON AVENUE EAST,BIG STONE GAP,VA,24219,WISE,(276) 523-3111,Acute Care Hospitals,Voluntary non-profit - Private
+50885,COLUMBUS REGIONAL HOSPITAL,2400 E 17TH ST,COLUMBUS,IN,47201,BARTHOLOMEW,(812) 379-4441,Acute Care Hospitals,Government - Local
+33642,ELLINWOOD DISTRICT HOSPITAL,605 N MAIN STREET,ELLINWOOD,KS,67526,BARTON,(620) 564-2548,Critical Access Hospitals,Government - Hospital District or Authority
+66964,SPECTRUM HEALTH - BUTTERWORTH CAMPUS,100 MICHIGAN ST NE,GRAND RAPIDS,MI,49503,KENT,(616) 391-1774,Acute Care Hospitals,Voluntary non-profit - Private
+39364,LINCOLN HOSPITAL,10 NICHOLS STREET,DAVENPORT,WA,99122,LINCOLN,(509) 725-7101,Critical Access Hospitals,Government - Hospital District or Authority
+85149,MUNICIPAL HOSPITAL AND GRANITE MANOR,345 TENTH AVENUE,GRANITE FALLS,MN,56241,YELLOW MEDCINE,(320) 564-3111,Critical Access Hospitals,Government - Local
+87040,UNIVERSITY OF UTAH HOSPITALS AND CLINICS,50 NORTH MEDICAL DRIVE,SALT LAKE CITY,UT,84132,SALT LAKE,(801) 581-2121,Acute Care Hospitals,Government - State
+40089,BARNES JEWISH HOSPITAL,ONE BARNES-JEWISH HOSPITAL PLAZA,SAINT LOUIS,MO,63110,ST. LOUIS CITY,(314) 747-3000,Acute Care Hospitals,Voluntary non-profit - Other
+10550,HIGHLAND HOSPITAL,1411 EAST 31ST STREET,OAKLAND,CA,94602,ALAMEDA,(510) 437-4800,Acute Care Hospitals,Government - Hospital District or Authority
+80281,MAD RIVER COMMUNITY HOSPITAL,3800 JANES RD,ARCATA,CA,95521,HUMBOLDT,(707) 822-3621,Acute Care Hospitals,Proprietary
+29236,"MERCY HOSPITAL OKLAHOMA CITY, INC",4300 WEST MEMORIAL ROAD,OKLAHOMA CITY,OK,73120,OKLAHOMA,(405) 752-3754,Acute Care Hospitals,Voluntary non-profit - Church
+66003,HAYS MEDICAL CENTER,2220 CANTERBURY DRIVE,HAYS,KS,67601,ELLIS,(785) 623-5000,Acute Care Hospitals,Voluntary non-profit - Other
+93418,CGH MEDICAL CENTER,100 EAST LEFEVRE ROAD,STERLING,IL,61081,WHITESIDE,(815) 625-0400,Acute Care Hospitals,Government - Local
+48801,JEFFERSON HOSPITAL,565 COAL VALLEY ROAD,JEFFERSON HILLS,PA,15025,ALLEGHENY,(412) 469-5000,Acute Care Hospitals,Voluntary non-profit - Private
+77471,COMMUNITY MENTAL HEALTH CENTER INC,285 BIELBY RD,LAWRENCEBURG,IN,47025,DEARBORN,(812) 537-1302,Psychiatric,Voluntary non-profit - Private
+69956,THE BROOK HOSPITAL - KMI,8521 LAGRANGE ROAD,LOUISVILLE,KY,40242,JEFFERSON,(502) 426-6380,Psychiatric,Government - Federal
+77166,"HOSPITAL UPR, DR  FEDERICO TRILLA",CARR 3 KM 8  3 AVE 65TH INFANTERIA       BOX 6021,CAROLINA,PR,984,CAROLINA,(787) 757-1800,Acute Care Hospitals,Proprietary
+20692,SSM HEALTH ST CLARE HOSPITAL - BARABOO,707 14TH ST,BARABOO,WI,53913,SAUK,(608) 356-1400,Acute Care Hospitals,Voluntary non-profit - Private
+82236,BAPTIST ST ANTHONY'S HOSPITAL,1600 WALLACE BLVD,AMARILLO,TX,79106,POTTER,(806) 212-2000,Acute Care Hospitals,Proprietary
+59074,UNIVERSITY OF TEXAS MEDICAL BRANCH,301 UNIVERSITY BOULEVARD,GALVESTON,TX,77555,GALVESTON,(409) 772-1011,Acute Care Hospitals,Government - State
+68757,CHI ST LUKES HEALTH MEMORIAL SAN AUGUSTINE,511 HOSPITAL ST,SAN AUGUSTINE,TX,75972,SAN AUGUSTINE,(936) 275-3446,Critical Access Hospitals,Voluntary non-profit - Private
+30306,MUNISING MEMORIAL HOSPITAL,1500 SAND POINT RD,MUNISING,MI,49862,ALGER,(906) 387-4110,Critical Access Hospitals,Voluntary non-profit - Private
+88152,UT HEALTH EAST TEXAS QUITMAN HOSPITAL,117 WINNSBORO STREET,QUITMAN,TX,75783,WOOD,(903) 763-4500,Critical Access Hospitals,Voluntary non-profit - Private
+78520,BAY AREA HOSPITAL,1775 THOMPSON ROAD,COOS BAY,OR,97420,COOS,(541) 269-8124,Acute Care Hospitals,Government - Hospital District or Authority
+93696,ELECTRA MEMORIAL HOSPITAL,1207 S BAILEY STREET,ELECTRA,TX,76360,WICHITA,(940) 495-3981,Critical Access Hospitals,Government - Hospital District or Authority
+34318,DECATUR COUNTY HOSPITAL,1405 NW CHURCH STREET,LEON,IA,50144,DECATUR,(641) 446-4871,Critical Access Hospitals,Government - Local
+28102,CIMARRON MEMORIAL HOSPITAL,100 SOUTH ELLIS,BOISE CITY,OK,73933,CIMARRON,(580) 544-2501,Critical Access Hospitals,Government - Hospital District or Authority
+53975,SOUTHERN OHIO MEDICAL CENTER,1805 27TH STREET,PORTSMOUTH,OH,45662,SCIOTO,(740) 356-5000,Acute Care Hospitals,Voluntary non-profit - Other
+22312,FREDERICK HEALTH HOSPITAL,400 WEST SEVENTH ST,FREDERICK,MD,21701,FREDERICK,(240) 566-3300,Acute Care Hospitals,Voluntary non-profit - Private
+26313,MEMPHIS MENTAL HEALTH INSTITUTE,951 COURT AVENUE,MEMPHIS,TN,38103,SHELBY,(901) 577-1800,Psychiatric,Government - Local
+32406,DEER RIVER HEALTHCARE CENTER,115 10TH AVENUE NORTHEAST,DEER RIVER,MN,56636,ITASCA,(218) 246-2900,Critical Access Hospitals,Voluntary non-profit - Private
+41787,NORWOOD HOSPITAL,800 WASHINGTON STREET,NORWOOD,MA,2062,NORFOLK,(781) 769-4000,Acute Care Hospitals,Proprietary
+86318,KINGSBROOK JEWISH MEDICAL CENTER,585 SCHENECTADY AVENUE,BROOKLYN,NY,11203,KINGS,(718) 604-5789,Acute Care Hospitals,Voluntary non-profit - Private
+82116,HELEN HAYES HOSPITAL,51 NORTH ROUTE 9W,WEST HAVERSTRAW,NY,10993,ROCKLAND,(845) 786-4000,Acute Care Hospitals,Government - Local
+77446,TRISTAR STONECREST MEDICAL CENTER,200 STONECREST BOULEVARD,SMYRNA,TN,37167,RUTHERFORD,(615) 768-2000,Acute Care Hospitals,Proprietary
+36327,STANFORD HEALTH CARE - VALLEYCARE,5555 WEST LAS POSITAS BOULEVARD,PLEASANTON,CA,94588,ALAMEDA,(925) 447-7000,Acute Care Hospitals,Voluntary non-profit - Private
+49611,DOYLESTOWN HOSPITAL,595 WEST STATE ST,DOYLESTOWN,PA,18901,BUCKS,(215) 345-2200,Acute Care Hospitals,Voluntary non-profit - Private
+38605,LEHIGH VALLEY HOSPITAL-SCHUYLKILL S. JACKSON STREE,420 SOUTH JACKSON STREET,POTTSVILLE,PA,17901,SCHUYLKILL,(570) 621-5102,Acute Care Hospitals,Voluntary non-profit - Private
+90213,ST ELIZABETHS HOSPITAL,"1100 ALABAMA AVENUE, SE",WASHINGTON,DC,20032,THE DISTRICT,(202) 299-5500,Psychiatric,Government - State
+18992,GARDEN GROVE HOSPITAL & MEDICAL CENTER,12601 GARDEN GROVE BLVD,GARDEN GROVE,CA,92843,ORANGE,(714) 537-5160,Acute Care Hospitals,Proprietary
+22761,OREM COMMUNITY HOSPITAL,331 NORTH 400 WEST,OREM,UT,84057,UTAH,(801) 714-3300,Acute Care Hospitals,Voluntary non-profit - Private
+17677,CLAY COUNTY HOSPITAL,83825 HIGHWAY 9    P O BOX 1270,ASHLAND,AL,36251,CLAY,(256) 354-2131,Acute Care Hospitals,Government - Hospital District or Authority
+61718,DELRAY MEDICAL CENTER,5352 LINTON BLVD,DELRAY BEACH,FL,33484,PALM BEACH,(561) 498-4440,Acute Care Hospitals,Proprietary
+87537,SOUTH LYON MEDICAL CENTER,213 S WHITACRE/PO BOX 940,YERINGTON,NV,89447,LYON,(775) 781-3761,Critical Access Hospitals,Government - Hospital District or Authority
+12769,SAMARITAN NORTH LINCOLN HOSPITAL,3043 NE 28TH STREET,LINCOLN CITY,OR,97367,LINCOLN,(541) 994-3661,Critical Access Hospitals,Voluntary non-profit - Private
+86525,SOUTHEASTHEALTH CENTER OF STODDARD COUNTY,1200 N ONE MILE RD,DEXTER,MO,63841,STODDARD,(573) 624-5566,Acute Care Hospitals,Voluntary non-profit - Private
+30874,REGIONAL HEALTH LEAD-DEADWOOD HOSPITAL,61 CHARLES STREET,DEADWOOD,SD,57732,LAWRENCE,(605) 717-6000,Critical Access Hospitals,Voluntary non-profit - Private
+79681,ORANGE PARK MEDICAL CENTER,2001 KINGSLEY AVE,ORANGE PARK,FL,32073,CLAY,(904) 276-8500,Acute Care Hospitals,Voluntary non-profit - Other
+71138,DODGE COUNTY HOSPITAL,901 GRIFFIN AVE,EASTMAN,GA,31023,DODGE,(478) 448-4067,Acute Care Hospitals,Government - Hospital District or Authority
+39878,MULTICARE COVINGTON MEDICAL CENTER,17700 SE 272ND ST,COVINGTON,WA,98042,KING,(253) 372-7400,Acute Care Hospitals,Voluntary non-profit - Private
+94835,ALLIANCEHEALTH MIDWEST,2825 PARKLAWN DRIVE,MIDWEST CITY,OK,73110,OKLAHOMA,(405) 610-8585,Acute Care Hospitals,Proprietary
+87605,ARIZONA SPECIALTY HOSPITAL,"2905 WEST WARNER ROAD, SUITE 1",CHANDLER,AZ,85224,MARICOPA,(480) 603-9000,Acute Care Hospitals,Proprietary
+18177,UF HEALTH JACKSONVILLE,655 W 8TH ST,JACKSONVILLE,FL,32209,DUVAL,(904) 244-0411,Acute Care Hospitals,Voluntary non-profit - Private
+84908,"BAPTIST MEMORIAL HOSPITAL-CRITTENDEN, INC",2100 NORTH SEVENTH STREET,WEST MEMPHIS,AR,72301,CRITTENDEN,(870) 394-7800,Acute Care Hospitals,Voluntary non-profit - Private
+16540,ST MARK'S HOSPITAL,1200 EAST 3900 SOUTH,SALT LAKE CITY,UT,84124,SALT LAKE,(801) 268-7700,Acute Care Hospitals,Proprietary
+70129,BAPTIST MEMORIAL HOSPITAL BOONEVILLE,100 HOSPITAL DRIVE,BOONEVILLE,MS,38829,PRENTISS,(662) 720-5000,Acute Care Hospitals,Voluntary non-profit - Church
+41056,SOUTH LINCOLN MEDICAL CENTER - CAH,711 ONYX STREET,KEMMERER,WY,83101,LINCOLN,(307) 877-4401,Critical Access Hospitals,Government - Hospital District or Authority
+89420,HAVASU REGIONAL MEDICAL CENTER,101 CIVIC CENTER LANE,LAKE HAVASU CITY,AZ,86403,MOHAVE,(928) 855-8185,Acute Care Hospitals,Proprietary
+28531,MOUNTAIN VIEW HOSPITAL,2325 CORONADO STREET,IDAHO FALLS,ID,83404,BONNEVILLE,(208) 557-2700,Acute Care Hospitals,Physician
+38051,MARY RUTAN HOSPITAL,205 PALMER AVENUE,BELLEFONTAINE,OH,43311,LOGAN,(937) 599-7002,Acute Care Hospitals,Voluntary non-profit - Private
+89242,MELROSEWAKEFIELD HEALTHCARE,585 LEBANON STREET,MELROSE,MA,2176,MIDDLESEX,(781) 979-3000,Acute Care Hospitals,Voluntary non-profit - Private
+59300,BIBB MEDICAL CENTER,208 PIERSON AVE,CENTREVILLE,AL,35042,BIBB,(205) 926-4881,Acute Care Hospitals,Government - Hospital District or Authority
+18204,CORNERSTONE REGIONAL HOSPITAL,2302 CORNERSTONE BOULEVARD,EDINBURG,TX,78539,HIDALGO,(956) 618-4444,Acute Care Hospitals,Proprietary
+79636,GEISINGER-COMMUNITY MEDICAL CENTER,1822 MULBERRY STREET,SCRANTON,PA,18510,LACKAWANNA,(570) 969-8240,Acute Care Hospitals,Voluntary non-profit - Private
+82747,INDIANA UNIVERSITY HEALTH PAOLI HOSPITAL,642 W HOSPITAL RD,PAOLI,IN,47454,ORANGE,(812) 723-2811,Critical Access Hospitals,Voluntary non-profit - Private
+81113,ST ANTHONY HOSPITAL,2801 ST ANTHONY WAY,PENDLETON,OR,97801,UMATILLA,(541) 276-5121,Critical Access Hospitals,Voluntary non-profit - Church
+32695,PINCKNEYVILLE COMMUNITY HOSPITAL,5383 STATE ROUTE 154,PINCKNEYVILLE,IL,62274,PERRY,(618) 357-2187,Critical Access Hospitals,Government - Hospital District or Authority
+93294,CITIZENS BAPTIST MEDICAL CENTER,604 STONE AVENUE,TALLADEGA,AL,35161,TALLADEGA,(256) 761-4542,Acute Care Hospitals,Voluntary non-profit - Private
+52956,MILWAUKEE COUNTY BEHAVIORAL HEALTH DIVISION,9455 W WATERTOWN PLANK RD,MILWAUKEE,WI,53226,MILWAUKEE,(414) 257-5202,Psychiatric,Government - Local
+77176,IOWA METHODIST MEDICAL CENTER,1200 PLEASANT STREET,DES MOINES,IA,50309,POLK,(515) 241-6212,Acute Care Hospitals,Voluntary non-profit - Private
+53248,ST LUKE'S MINERS MEMORIAL HOSPITAL,360 W RUDDLE STREET,COALDALE,PA,18218,SCHUYLKILL,(570) 645-2131,Acute Care Hospitals,Voluntary non-profit - Private
+22652,BEEBE MEDICAL CENTER,424 SAVANNAH RD,LEWES,DE,19958,SUSSEX,(302) 645-3300,Acute Care Hospitals,Voluntary non-profit - Private
+53945,PHELPS MEMORIAL HOSPITAL ASSN,701 NORTH BROADWAY,SLEEPY HOLLOW,NY,10591,WESTCHESTER,(914) 366-3000,Acute Care Hospitals,Voluntary non-profit - Other
+11315,DRISCOLL CHILDRENS HOSPITAL,3533 S ALAMEDA BOX 6530,CORPUS CHRISTI,TX,78411,NUECES,(361) 739-4846,Childrens,Voluntary non-profit - Private
+43421,AVERA TYLER HOSPITAL,240 WILLOW STREET,TYLER,MN,56178,LINCOLN,(507) 247-5521,Critical Access Hospitals,Voluntary non-profit - Private
+55262,UNM HOSPITAL,2211 LOMAS BOULEVARD NE,ALBUQUERQUE,NM,87106,BERNALILLO,(505) 272-2111,Acute Care Hospitals,Voluntary non-profit - Other
+76767,WAKEMED,3000 NEW BERN AVE,RALEIGH,NC,27610,WAKE,(919) 350-8000,Acute Care Hospitals,Voluntary non-profit - Private
+71659,HARSHA BEHAVIORAL CENTER INC,1980 E WOODSMALL DR,TERRE HAUTE,IN,47802,VIGO,(812) 298-8888,Psychiatric,Voluntary non-profit - Other
+93510,LEGACY GOOD SAMARITAN MEDICAL CENTER,"1015 NW 22ND AVENUE, W121",PORTLAND,OR,97210,MULTNOMAH,(503) 413-7711,Acute Care Hospitals,Voluntary non-profit - Private
+11515,ALTRU HOSPITAL,1200 S COLUMBIA RD,GRAND FORKS,ND,58201,GRAND FORKS,(701) 780-5000,Acute Care Hospitals,Government - Local
+46864,ANDERSON HOSPITAL,6800 STATE ROUTE 162,MARYVILLE,IL,62062,MADISON,(618) 288-5711,Acute Care Hospitals,Voluntary non-profit - Private
+20906,MARION GENERAL HOSPITAL,1560 SUMRALL RD,COLUMBIA,MS,39429,MARION,(601) 736-6303,Acute Care Hospitals,Voluntary non-profit - Other
+28125,NORTHEASTERN NEVADA REGIONAL HOSPITAL,2001 ERRECART BLVD,ELKO,NV,89801,ELKO,(775) 738-5151,Acute Care Hospitals,Proprietary
+67808,WETZEL COUNTY HOSPITAL,#3 EAST BENJAMIN DRIVE,NEW MARTINSVILLE,WV,26155,WETZEL,(304) 455-8000,Acute Care Hospitals,Government - Local
+88068,HOAG MEMORIAL HOSPITAL PRESBYTERIAN,ONE HOAG DRIVE,NEWPORT BEACH,CA,92663,ORANGE,(949) 764-4624,Acute Care Hospitals,Voluntary non-profit - Private
+24623,BAYLOR SCOTT & WHITE MEDICAL CENTER  GRAPEVINE,1650 W COLLEGE ST,GRAPEVINE,TX,76051,TARRANT,(817) 481-1588,Acute Care Hospitals,Voluntary non-profit - Private
+42677,BRATTLEBORO MEMORIAL HOSPITAL,17 BELMONT AVE,BRATTLEBORO,VT,5301,WINDHAM,(802) 257-0341,Acute Care Hospitals,Voluntary non-profit - Private
+68834,FIRELANDS REGIONAL MEDICAL CENTER,1111 HAYES AVENUE,SANDUSKY,OH,44870,ERIE,(419) 557-7400,Acute Care Hospitals,Voluntary non-profit - Private
+24907,SPRING VIEW HOSPITAL,320 LORETTO ROAD,LEBANON,KY,40033,MARION,(270) 692-5145,Acute Care Hospitals,Proprietary
+52270,PRAIRIE COMMUNITY HOSPITAL,312 S ADAMS,TERRY,MT,59349,PRAIRIE,(406) 635-5511,Critical Access Hospitals,Government - Hospital District or Authority
+53021,BELTON REGIONAL MEDICAL CENTER,17065 S 71 HIGHWAY,BELTON,MO,64012,CASS,(816) 348-1236,Acute Care Hospitals,Voluntary non-profit - Private
+92813,WOODLAND SPRINGS,15860 OLD CONROE ROAD,CONROE,TX,77384,MONTGOMERY,(936) 270-7520,Psychiatric,Proprietary
+67113,MANATEE MEMORIAL HOSPITAL,206 2ND ST E,BRADENTON,FL,34208,MANATEE,(941) 746-5111,Acute Care Hospitals,Proprietary
+71436,HUHU KAM MEMORIAL HOSPITAL,483 WEST SEED FARM ROAD,SACATON,AZ,85147,PINAL,(520) 562-3321,Critical Access Hospitals,Government - Federal
+39411,ALLEN PARISH HOSPITAL,108 6TH AVENUE,KINDER,LA,70648,ALLEN,(337) 738-2527,Acute Care Hospitals,Government - Hospital District or Authority
+23114,OSF SACRED HEART MEDICAL CENTER,812 N LOGAN AVE,DANVILLE,IL,61832,VERMILION,(217) 443-5000,Acute Care Hospitals,Voluntary non-profit - Church
+44327,UNIVERSITY OF VERMONT MEDICAL CENTER,111 COLCHESTER AVE,BURLINGTON,VT,5401,CHITTENDEN,(802) 847-0000,Acute Care Hospitals,Voluntary non-profit - Other
+81467,TOURO INFIRMARY,1401 FOUCHER STREET,NEW ORLEANS,LA,70115,ORLEANS,(504) 897-8247,Acute Care Hospitals,Voluntary non-profit - Private
+27401,"MERCY HOSPITAL KINGFISHER, INC",1000 KINGFISHER HOSPITAL DRIVE,KINGFISHER,OK,73750,KINGFISHER,(405) 375-3141,Critical Access Hospitals,Voluntary non-profit - Church
+77434,HENRY FORD KINGSWOOD HOSPITAL,10300 W EIGHT MILE ROAD,FERNDALE,MI,48220,OAKLAND,(248) 691-4868,Psychiatric,Voluntary non-profit - Private
+57315,FRANCISCAN HEALTH INDIANAPOLIS,8111 S EMERSON AVE,INDIANAPOLIS,IN,46237,MARION,(317) 528-5000,Acute Care Hospitals,Voluntary non-profit - Church
+42520,DIGNITY HEALTH ARIZONA GENERAL HOSPITAL,9130 EAST ELLIOT ROAD,MESA,AZ,85212,MARICOPA,(480) 410-4500,Acute Care Hospitals,Voluntary non-profit - Private
+10996,SAGAMORE CHILDREN'S PSYCHIATRIC CENTER,197 HALF  HOLLOW ROAD,DIX HILLS,NY,11746,SUFFOLK,(631) 370-1701,Psychiatric,Government - State
+90353,STRINGFELLOW MEMORIAL HOSPITAL,301 EAST 18TH ST,ANNISTON,AL,36201,CALHOUN,(256) 235-8900,Acute Care Hospitals,Proprietary
+76442,SOUTHWEST GEORGIA REGIONAL MEDICAL CENTER,361 RANDOLPH STREET,CUTHBERT,GA,39840,RANDOLPH,(229) 732-2181,Critical Access Hospitals,Government - Hospital District or Authority
+85915,BUCHANAN COUNTY HEALTH CENTER,1600 FIRST ST EAST,INDEPENDENCE,IA,50644,BUCHANAN,(319) 332-0999,Critical Access Hospitals,Voluntary non-profit - Other
+26316,MARSHALL MEDICAL CENTER,1100 MARSHALL WAY,PLACERVILLE,CA,95667,EL DORADO,(530) 622-1441,Acute Care Hospitals,Voluntary non-profit - Private
+13636,SIERRA VISTA HOSPITAL,800 EAST 9TH AVENUE,T OR C,NM,87901,SIERRA,(575) 894-2111,Critical Access Hospitals,Government - Local
+23242,BENEWAH COMMUNITY HOSPITAL,229 SOUTH 7TH STREET,ST MARIES,ID,83861,BENEWAH,(208) 245-5551,Critical Access Hospitals,Government - Local
+81259,"MILFORD HOSPITAL, INC",300 SEASIDE AVENUE,MILFORD,CT,6460,NEW HAVEN,(203) 876-4000,Acute Care Hospitals,Voluntary non-profit - Private
+38254,ST MARTIN HOSPITAL,210 CHAMPAGNE BOULEVARD,BREAUX BRIDGE,LA,70517,ST. MARTIN,(337) 332-2178,Critical Access Hospitals,Voluntary non-profit - Private
+59568,WINTER HAVEN HOSPITAL,200 AVE F NE,WINTER HAVEN,FL,33881,POLK,(863) 293-1121,Acute Care Hospitals,Voluntary non-profit - Private
+26907,HUNT REGIONAL MEDICAL CENTER,4215 JOE RAMSEY BLVD,GREENVILLE,TX,75401,HUNT,(903) 408-5000,Acute Care Hospitals,Government - Hospital District or Authority
+30505,MENORAH MEDICAL CENTER,5721 WEST 119TH STREET,OVERLAND PARK,KS,66209,JOHNSON,(913) 498-6773,Acute Care Hospitals,Voluntary non-profit - Other
+43021,MUENSTER MEMORIAL HOSPITAL,605 N MAPLE STREET,MUENSTER,TX,76252,COOKE,(940) 759-2271,Critical Access Hospitals,Government - Hospital District or Authority
+13095,HOWARD MEMORIAL HOSPITAL,130 MEDICAL CIRCLE,NASHVILLE,AR,71852,HOWARD,(870) 845-4400,Critical Access Hospitals,Voluntary non-profit - Private
+68679,SAINT FRANCIS BARTLETT MEDICAL CENTER,2986 KATE BOND RD,BARTLETT,TN,38133,SHELBY,(901) 820-7050,Acute Care Hospitals,Proprietary
+88282,SANFORD MEDICAL CENTER HILLSBORO,12 THIRD STREET SE,HILLSBORO,ND,58045,TRAILL,(701) 636-3200,Critical Access Hospitals,Voluntary non-profit - Private
+11975,KNOX COUNTY HOSPITAL,701 SOUTHEAST  5TH STREET,KNOX CITY,TX,79529,KNOX,(940) 657-3535,Acute Care Hospitals,Government - Hospital District or Authority
+85374,SENTARA LEIGH HOSPITAL,830 KEMPSVILLE ROAD,NORFOLK,VA,23502,NORFOLK CITY,(757) 261-6700,Acute Care Hospitals,Voluntary non-profit - Other
+38700,EAST ADAMS RURAL HOSPITAL,903 SOUTH ADAMS,RITZVILLE,WA,99169,ADAMS,(509) 659-1200,Critical Access Hospitals,Government - Hospital District or Authority
+93522,FREEMAN NEOSHO HOSPITAL,113 WEST HICKORY STREET,NEOSHO,MO,64850,NEWTON,(417) 451-1234,Critical Access Hospitals,Voluntary non-profit - Private
+46951,LARKIN COMMUNITY HOSPITAL PALM SPRINGS CAMPUS,1475 W 49TH ST,HIALEAH,FL,33012,MIAMI-DADE,(305) 558-2500,Acute Care Hospitals,Voluntary non-profit - Private
+34700,BECKETT SPRINGS,8614 SHEPHERD FARM DRIVE,WEST CHESTER,OH,45069,BUTLER,(513) 942-9500,Psychiatric,Proprietary
+46500,GOOD SAMARITAN HOSPITAL,520 S 7TH ST,VINCENNES,IN,47591,KNOX,(812) 882-5220,Acute Care Hospitals,Voluntary non-profit - Other
+39137,KELL WEST REGIONAL HOSPITAL,5402 KELL WEST BOULEVARD,WICHITA FALLS,TX,76310,WICHITA,(940) 692-5888,Acute Care Hospitals,Proprietary
+34995,WYOMING MEDICAL CENTER,1233 EAST 2ND ST,CASPER,WY,82601,NATRONA,(307) 577-7201,Acute Care Hospitals,Government - Local
+36525,MARSHALL MEDICAL CENTER,1080 NORTH ELLINGTON PARKWAY,LEWISBURG,TN,37091,MARSHALL,(931) 359-6276,Critical Access Hospitals,Government - Hospital District or Authority
+72733,ST JOSEPH'S HOSPITAL HEALTH CENTER,301 PROSPECT AVENUE,SYRACUSE,NY,13203,ONONDAGA,(315) 448-5111,Acute Care Hospitals,Voluntary non-profit - Private
+71832,ADVENTIST HEALTH AND RIDEOUT,726 4TH ST,MARYSVILLE,CA,95901,YUBA,(530) 749-4300,Acute Care Hospitals,Government - Federal
+50528,METHODIST HOSPITAL SOUTH,1905 HWY 97 EAST,JOURDANTON,TX,78026,ATASCOSA,(830) 769-3515,Acute Care Hospitals,Proprietary
+71255,EASTERN PLUMAS HOSPITAL - PORTOLA CAMPUS,500 FIRST AVENUE,PORTOLA,CA,96122,PLUMAS,(530) 832-4277,Critical Access Hospitals,Government - Hospital District or Authority
+93480,INSPIRA MEDICAL CENTER ELMER,501 WEST FRONT STREET,ELMER,NJ,8318,SALEM,(856) 363-1000,Acute Care Hospitals,Voluntary non-profit - Private
+73839,WEISBROD MEMORIAL COUNTY HOSPITAL,1208 LUTHER STREET,EADS,CO,81036,KIOWA,(719) 438-5401,Critical Access Hospitals,Government - Local
+51446,MOUNTRAIL COUNTY MEDICAL CENTER INC,615 6TH ST SE,STANLEY,ND,58784,MOUNTRAIL,(701) 628-2424,Critical Access Hospitals,Voluntary non-profit - Private
+17062,SNOQUALMIE VALLEY HOSPITAL,9801 FRONTIER AVE SE,SNOQUALMIE,WA,98065,KING,(425) 831-2300,Critical Access Hospitals,Government - Hospital District or Authority
+70613,HUNTINGTON HOSPITAL,270 PARK AVENUE,HUNTINGTON,NY,11743,SUFFOLK,(631) 351-2000,Acute Care Hospitals,Voluntary non-profit - Private
+22278,WHITTIER HOSPITAL MEDICAL CENTER,9080 COLIMA RD,WHITTIER,CA,90605,LOS ANGELES,(562) 945-3561,Acute Care Hospitals,Proprietary
+82490,"CARTHAGE AREA HOSPITAL, INC",1001 WEST STREET,CARTHAGE,NY,13619,JEFFERSON,(315) 493-1000,Critical Access Hospitals,Voluntary non-profit - Private
+91387,INDIANA REGIONAL MEDICAL CENTER,835 HOSPITAL ROAD,INDIANA,PA,15701,INDIANA,(724) 357-7000,Acute Care Hospitals,Voluntary non-profit - Private
+80569,JIM TALIAFERRO COMM MENTAL HEALTH CTR,602 SOUTHWEST 38TH STREET,LAWTON,OK,73505,COMANCHE,(580) 248-5780,Psychiatric,Government - State
+24306,CENTRAL DESERT BEHAVIORAL HEALTH CENTER,1525 N RENAISSANCE BLVD NE,ALBUQUERQUE,NM,87107,BERNALILLO,(505) 243-3387,Psychiatric,Proprietary
+27602,PERRY COUNTY GENERAL HOSP,206 BAY ST,RICHTON,MS,39476,GREENE,(601) 788-6316,Critical Access Hospitals,Proprietary
+20707,ANDROSCOGGIN VALLEY HOSPITAL,59 PAGE HILL ROAD,BERLIN,NH,3570,COOS,(603) 752-2200,Critical Access Hospitals,Voluntary non-profit - Private
+78106,MILLS-PENINSULA MEDICAL CENTER,1501 TROUSDALE DRIVE,BURLINGAME,CA,94010,SAN MATEO,(650) 696-5270,Acute Care Hospitals,Voluntary non-profit - Private
+78925,SPARTA COMMUNITY HOSPITAL,818 E BROADWAY,SPARTA,IL,62286,RANDOLPH,(618) 443-2177,Critical Access Hospitals,Government - Hospital District or Authority
+14931,"FREEDOM BEHAVIORAL HOSPITAL OF TOPEKA, LLC",1334 SW BUCHANAN STREET,TOPEKA,KS,66604,SHAWNEE,(785) 235-1294,Psychiatric,Proprietary
+90508,CHANGEPOINT PSYCHIATRIC HOSPITAL,1920 WEST COMMERCE DRIVE,LAKESIDE,AZ,85929,NAVAJO,(928) 368-4110,Psychiatric,Voluntary non-profit - Private
+42607,LANDMARK MEDICAL CENTER,115 CASS AVENUE,WOONSOCKET,RI,2895,PROVIDENCE,(401) 769-4100,Acute Care Hospitals,Voluntary non-profit - Private
+30939,MACON COUNTY SAMARITAN MEMORIAL HOSPITAL,1205 NORTH MISSOURI ST,MACON,MO,63552,MACON,(660) 385-8700,Critical Access Hospitals,Government - Local
+61531,KALISPELL REGIONAL MEDICAL CENTER,310 SUNNYVIEW LANE,KALISPELL,MT,59901,FLATHEAD,(406) 752-5111,Acute Care Hospitals,Voluntary non-profit - Private
+25220,CALIFORNIA PACIFIC MEDICAL CENTER - MISSION BERNAL,3555 CESAR CHAVEZ STREET,SAN FRANCISCO,CA,94110,SAN FRANCISCO,(415) 641-6562,Acute Care Hospitals,Voluntary non-profit - Church
+58812,PROVIDENCE VALDEZ MEDICAL CENTER,PO BOX 550,VALDEZ,AK,99686,VALDEZ-CORDOVA,(907) 835-2249,Critical Access Hospitals,Government - Local
+49454,ARIA HEALTH,10800 KNIGHTS ROAD,PHILADELPHIA,PA,19114,PHILADELPHIA,(215) 612-4129,Acute Care Hospitals,Voluntary non-profit - Private
+45406,ROTHMAN ORTHOPAEDIC SPECIALTY HOSPITAL LLC,3300 TILLMAN DRIVE,BENSALEM,PA,19020,BUCKS,(215) 244-7400,Acute Care Hospitals,Proprietary
+72619,LAKE CITY COMMUNITY HOSPITAL,258 N RON MCNAIR BLVD,LAKE CITY,SC,29560,FLORENCE,(843) 374-2036,Acute Care Hospitals,Voluntary non-profit - Private
+64089,DREW MEMORIAL HOSPITAL,778 SCOGIN DRIVE,MONTICELLO,AR,71655,DREW,(870) 367-2411,Acute Care Hospitals,Voluntary non-profit - Private
+36941,MAGNOLIA HOSPITAL,101 HOSPITAL DRIVE,MAGNOLIA,AR,71754,COLUMBIA,(870) 235-3000,Acute Care Hospitals,Government - Local
+80644,CRENSHAW COMMUNITY HOSPITAL,101 HOSPITAL CIRCLE,LUVERNE,AL,36049,CRENSHAW,(334) 335-3374,Acute Care Hospitals,Proprietary
+14527,"BRIDGEWAY INC, THE",21 BRIDGEWAY ROAD,NORTH LITTLE ROCK,AR,72113,PULASKI,(501) 771-1500,Psychiatric,Proprietary
+76020,GREENEVILLE COMMUNITY HOSPITAL,1420 TUSCULUM BOULEVARD,GREENEVILLE,TN,37745,GREENE,(423) 639-3151,Acute Care Hospitals,Voluntary non-profit - Private
+71151,ELLWOOD CITY MEDICAL CENTER,724 PERSHING STREET,ELLWOOD CITY,PA,16117,LAWRENCE,(724) 752-0081,Acute Care Hospitals,Proprietary
+61582,"SHEPPARD AND ENOCH PRATT HOSPITAL, THE",6501 NORTH  CHARLES STREET,BALTIMORE,MD,21204,BALTIMORE,(410) 938-3401,Psychiatric,Voluntary non-profit - Private
+21611,ST. MARY'S HOSPITAL,1601 WEST ST MARY'S ROAD,TUCSON,AZ,85745,PIMA,(520) 872-3000,Acute Care Hospitals,Voluntary non-profit - Private
+14746,LOWER KEYS MEDICAL CENTER,5900 COLLEGE ROAD,KEY WEST,FL,33040,MONROE,(305) 294-5531,Acute Care Hospitals,Proprietary
+60478,NORWALK HOSPITAL,24 STEVENS STREET,NORWALK,CT,6856,FAIRFIELD,(203) 852-2000,Acute Care Hospitals,Voluntary non-profit - Private
+70968,EL CAMPO MEMORIAL HOSPITAL,303 SANDY CORNER RD,EL CAMPO,TX,77437,WHARTON,(979) 578-5251,Acute Care Hospitals,Voluntary non-profit - Private
+39979,WESTPARK SPRINGS LLC,6902 S PEEK ROAD,RICHMOND,TX,77407,FORT BEND,(832) 535-2770,Psychiatric,Voluntary non-profit - Other
+31384,IBERIA MEDICAL CENTER,2315 E MAIN STREET,NEW IBERIA,LA,70562,IBERIA,(337) 364-0441,Acute Care Hospitals,Government - Hospital District or Authority
+64425,CHANDLER REGIONAL MEDICAL CENTER,1955 WEST FRYE ROAD,CHANDLER,AZ,85224,MARICOPA,(480) 728-3000,Acute Care Hospitals,Voluntary non-profit - Other
+79963,TITUSVILLE HOSPITAL,406 WEST OAK STREET,TITUSVILLE,PA,16354,CRAWFORD,(814) 827-1851,Critical Access Hospitals,Voluntary non-profit - Private
+34028,TEXAS HEALTH PRESBYTERIAN HOSPITAL FLOWER MOUND,4400 LONG PRAIRIE ROAD,FLOWER MOUND,TX,75028,DENTON,(972) 419-1530,Acute Care Hospitals,Proprietary
+70581,SWEDISH AMERICAN HOSPITAL,1401 EAST STATE STREET,ROCKFORD,IL,61104,WINNEBAGO,(815) 968-4400,Acute Care Hospitals,Voluntary non-profit - Other
+69313,METROSOUTH MEDICAL CENTER,12935 S GREGORY,BLUE ISLAND,IL,60406,COOK,(708) 597-2000,Acute Care Hospitals,Proprietary
+31722,FROEDTERT MEMORIAL LUTHERAN HOSPITAL,9200 W WISCONSIN AVE,MILWAUKEE,WI,53226,MILWAUKEE,(414) 805-3000,Acute Care Hospitals,Voluntary non-profit - Private
+11504,PROVIDENCE LITTLE CO OF MARY MED CTR SAN PEDRO,1300 W 7TH ST,SAN PEDRO,CA,90732,LOS ANGELES,(310) 832-3311,Acute Care Hospitals,Voluntary non-profit - Private
+92155,SAINT THOMAS HIGHLANDS HOSPITAL,401 SEWELL DR,SPARTA,TN,38583,WHITE,(931) 738-9211,Acute Care Hospitals,Proprietary
+90477,PAWNEE VALLEY COMMUNITY HOSPITAL,923 CARROLL AVENUE,LARNED,KS,67550,PAWNEE,(620) 285-3162,Critical Access Hospitals,Voluntary non-profit - Private
+90050,MEMORIAL HOSPITAL,1101 MICHIGAN AVE,LOGANSPORT,IN,46947,CASS,(574) 753-7541,Acute Care Hospitals,Government - Local
+92047,ALLEGIANCE BEHAVIORAL HEALTH CENTER OF PLAINVIEW,"2601 DIMMITT ROAD, SUITE 400",PLAINVIEW,TX,79072,HALE,(806) 296-9191,Psychiatric,Proprietary
+29836,MERCY ONE ELKADER MEDICAL CENTER,901 DAVIDSON STREET NW,ELKADER,IA,52043,CLAYTON,(563) 245-7000,Critical Access Hospitals,Voluntary non-profit - Private
+58317,PRESTON MEMORIAL HOSPITAL,150 MEMORIAL DRIVE,KINGWOOD,WV,26537,PRESTON,(304) 329-1400,Critical Access Hospitals,Voluntary non-profit - Private
+75066,TRIOS,900 SOUTH AUBURN STREET,KENNEWICK,WA,99336,BENTON,(509) 586-6111,Acute Care Hospitals,Government - Hospital District or Authority
+17698,ASCENSION BORGESS HOSPITAL,1521 GULL ROAD,KALAMAZOO,MI,49048,KALAMAZOO,(269) 226-7000,Acute Care Hospitals,Voluntary non-profit - Other
+56802,LUTHERAN HOSPITAL,1730 WEST 25TH STREET,CLEVELAND,OH,44113,CUYAHOGA,(216) 696-4300,Acute Care Hospitals,Voluntary non-profit - Private
+87643,SENTARA WILLIAMSBURG REGIONAL MEDICAL CENTER,100 SENTARA CIRCLE,WILLIAMSBURG,VA,23188,JAMES CITY,(757) 984-6000,Acute Care Hospitals,Voluntary non-profit - Private
+85773,UMD UPPER CHESAPEAKE MEDICAL CENTER,500 UPPER CHESAPEAKE DRIVE,BEL AIR,MD,21014,HARFORD,(443) 643-3303,Acute Care Hospitals,Voluntary non-profit - Other
+52069,HENDERSON COUNTY COMMUNITY HOSPITAL,200 W CHURCH ST,LEXINGTON,TN,38351,HENDERSON,(731) 968-1801,Acute Care Hospitals,Proprietary
+19313,NOVANT HEALTH FORSYTH MEDICAL CENTER,3333 SILAS CREEK PARKWAY,WINSTON-SALEM,NC,27103,FORSYTH,(336) 718-5000,Acute Care Hospitals,Voluntary non-profit - Private
+45114,UNIVERSITY OF TN MEDICAL CENTER (THE),1924 ALCOA HIGHWAY,KNOXVILLE,TN,37920,KNOX,(865) 544-9000,Acute Care Hospitals,Voluntary non-profit - Private
+36729,PLAINVIEW HOSPITAL,888 OLD COUNTRY ROAD,PLAINVIEW,NY,11803,NASSAU,(516) 719-3000,Acute Care Hospitals,Voluntary non-profit - Private
+79247,OHIO STATE UNIVERSITY HOSPITALS,410 WEST 10TH AVENUE,COLUMBUS,OH,43210,FRANKLIN,(614) 293-9700,Acute Care Hospitals,Government - State
+41028,SUTTER DELTA MEDICAL CENTER,3901 LONE TREE WAY,ANTIOCH,CA,94509,CONTRA COSTA,(925) 779-7200,Acute Care Hospitals,Voluntary non-profit - Private
+75719,"IZARD COUNTY MEDICAL CENTER, LLC",61 GRASSE STREET,CALICO ROCK,AR,72519,BAXTER,(870) 297-2400,Critical Access Hospitals,Proprietary
+54060,NORTH CENTRAL SURGICAL CENTER LLP,9301 NORTH CENTRAL EXPRESSWAY SUITE 100,DALLAS,TX,75231,DALLAS,(214) 265-2810,Acute Care Hospitals,Voluntary non-profit - Other
+28150,PARMER COUNTY COMMUNITY HOSPITAL,1307 CLEVELAND STREET,FRIONA,TX,79035,PARMER,(806) 250-2754,Critical Access Hospitals,Voluntary non-profit - Private
+78522,SANTA MONICA - UCLA MED CTR & ORTHOPAEDIC HOSPITAL,1250 16TH STREET,SANTA MONICA,CA,90404,LOS ANGELES,(310) 319-4000,Acute Care Hospitals,Voluntary non-profit - Private
+18619,ATMORE COMMUNITY HOSPITAL,401 MEDICAL PARK DRIVE,ATMORE,AL,36502,ESCAMBIA,(251) 368-2500,Acute Care Hospitals,Government - Hospital District or Authority
+72196,CONNECTICUT CHILDRENS MEDICAL CENTER,282 WASHINGTON STREET,HARTFORD,CT,6106,HARTFORD,(860) 545-9000,Childrens,Voluntary non-profit - Private
+59415,ADIRONDACK MEDICAL CENTER - SARANAC LAKE,"2233 STATE ROUTE 86, PO BOX 471",SARANAC LAKE,NY,12983,FRANKLIN,(518) 891-4141,Acute Care Hospitals,Voluntary non-profit - Other
+75155,ARBUCKLE MEMORIAL HOSPITAL AUTHORITY,2011 WEST BROADWAY,SULPHUR,OK,73086,MURRAY,(580) 622-2161,Critical Access Hospitals,Government - Local
+45822,COQUILLE VALLEY HOSPITAL DISTRICT,940 EAST 5TH STREET,COQUILLE,OR,97423,COOS,(541) 396-3101,Critical Access Hospitals,Government - Hospital District or Authority
+63902,COBRE VALLEY REGIONAL MEDICAL CENTER,5880 SOUTH HOSPITAL DRIVE,GLOBE,AZ,85501,GILA,(928) 402-1122,Critical Access Hospitals,Voluntary non-profit - Private
+25685,GRAHAM REGIONAL MEDICAL CENTER,1301 MONTGOMERY ROAD,GRAHAM,TX,76450,YOUNG,(940) 549-3400,Acute Care Hospitals,Government - Hospital District or Authority
+63835,CHRISTUS MOTHER FRANCES HOSPITAL SULPHUR SPRINGS,115 AIRPORT RD,SULPHUR SPRINGS,TX,75482,HOPKINS,(903) 885-7671,Acute Care Hospitals,Proprietary
+55461,SWEDISH EDMONDS HOSPITAL,21601 76TH AVENUE WEST,EDMONDS,WA,98026,SNOHOMISH,(425) 640-4000,Acute Care Hospitals,Voluntary non-profit - Private
+81944,ST CLAIR HOSPITAL,1000 BOWER HILL ROAD,PITTSBURGH,PA,15243,ALLEGHENY,(412) 942-4000,Acute Care Hospitals,Voluntary non-profit - Private
+12532,MILDRED MITCHELL-BATEMAN HOSPITAL,1530 NORWAY AVENUE,HUNTINGTON,WV,25709,CABELL,(304) 525-7801,Psychiatric,Government - State
+11638,WASHINGTON COUNTY MEMORIAL HOSPITAL,300 HEALTH WAY,POTOSI,MO,63664,WASHINGTON,(573) 438-5451,Critical Access Hospitals,Government - Local
+37903,MERCY HOSPITAL,2215 TRUXTUN AVENUE,BAKERSFIELD,CA,93301,KERN,(661) 632-5000,Acute Care Hospitals,Voluntary non-profit - Other
+90117,CANNON MEMORIAL HOSPITAL,123 W G ACKER DRIVE,PICKENS,SC,29671,PICKENS,(864) 878-4791,Acute Care Hospitals,Voluntary non-profit - Private
+47699,MEMORIAL HOSPITAL OF CARBONDALE,405 W JACKSON,CARBONDALE,IL,62901,JACKSON,(618) 549-0721,Acute Care Hospitals,Voluntary non-profit - Private
+70465,KNOXVILLE HOSPITAL & CLINICS,1002 SOUTH LINCOLN STREET,KNOXVILLE,IA,50138,MARION,(641) 842-2151,Critical Access Hospitals,Voluntary non-profit - Private
+77624,KLICKITAT VALLEY HOSPITAL,310 SOUTH ROOSEVELT,GOLDENDALE,WA,98620,KLICKITAT,(509) 773-4022,Critical Access Hospitals,Government - Hospital District or Authority
+93675,HOSPITAL METROPOLITANO DR PILA,2435 LAS AMERICAS AVE,PONCE,PR,733,PONCE,(787) 848-5600,Acute Care Hospitals,Voluntary non-profit - Private
+13503,EDGEWOOD SURGICAL HOSPITAL,239 EDGEWOOD DRIVE EXTENSION,TRANSFER,PA,16154,MERCER,(724) 646-0400,Acute Care Hospitals,Physician
+38260,ABROM KAPLAN MEMORIAL HOSPITAL,1310 WEST SEVENTH STREET,KAPLAN,LA,70548,VERMILION,(337) 643-8300,Critical Access Hospitals,Voluntary non-profit - Private
+22585,"INTEGRIS BAPTIST MEDICAL CENTER, INC",3300 NORTHWEST EXPRESSWAY,OKLAHOMA CITY,OK,73112,OKLAHOMA,(405) 951-8110,Acute Care Hospitals,Voluntary non-profit - Private
+70700,MAGNOLIA REGIONAL HEALTH CENTER,611 ALCORN DRIVE,CORINTH,MS,38834,ALCORN,(662) 293-1000,Acute Care Hospitals,Voluntary non-profit - Other
+48492,SKY LAKES MEDICAL CENTER,2865 DAGGETT AVENUE,KLAMATH FALLS,OR,97601,KLAMATH,(541) 274-6150,Acute Care Hospitals,Voluntary non-profit - Private
+75018,PERRY COUNTY MEMORIAL HOSPITAL,8885 SR 237,TELL CITY,IN,47586,PERRY,(812) 547-7011,Critical Access Hospitals,Voluntary non-profit - Other
+77164,COX MEDICAL CENTER BRANSON,"525 BRANSON LANDING BLVD, PO BOX 650",BRANSON,MO,65615,TANEY,(417) 335-7000,Acute Care Hospitals,Voluntary non-profit - Private
+50248,MITCHELL COUNTY HOSPITAL,90 STEPHENS STREET,CAMILLA,GA,31730,MITCHELL,(229) 336-5284,Critical Access Hospitals,Government - Hospital District or Authority
+19143,ADVENTHEALTH SEBRING,4200 SUN N LAKE BLVD,SEBRING,FL,33871,HIGHLANDS,(863) 314-4466,Acute Care Hospitals,Voluntary non-profit - Church
+93145,CHINESE HOSPITAL,845 JACKSON ST,SAN FRANCISCO,CA,94133,SAN FRANCISCO,(415) 982-2400,Acute Care Hospitals,Voluntary non-profit - Private
+32145,CHI LISBON HEALTH,905 MAIN ST,LISBON,ND,58054,RANSOM,(701) 683-5241,Critical Access Hospitals,Voluntary non-profit - Private
+14985,MASSAC MEMORIAL HOSPITAL,"28 CHICK STREET, PO BOX 850",METROPOLIS,IL,62960,MASSAC,(618) 524-2176,Critical Access Hospitals,Government - Hospital District or Authority
+36013,CHILDREN'S HOSPITAL COLORADO,13123 E 16TH AVE,AURORA,CO,80045,ADAMS,(720) 777-1234,Childrens,Voluntary non-profit - Private
+24450,WELLSTAR WEST GEORGIA MEDICAL CENTER,1514 VERNON ROAD,LAGRANGE,GA,30240,TROUP,(706) 882-1411,Acute Care Hospitals,Voluntary non-profit - Private
+56482,EDWARDS COUNTY HOSPITAL,620 WEST EIGHTH STREET,KINSLEY,KS,67547,EDWARDS,(620) 659-3621,Critical Access Hospitals,Government - Local
+15798,FREMONT HOSPITAL,39001 SUNDALE DRIVE,FREMONT,CA,94538,ALAMEDA,(510) 796-1100,Psychiatric,Proprietary
+91778,ST JOSEPH MERCY CHELSEA,775 S MAIN ST,CHELSEA,MI,48118,WASHTENAW,(734) 475-3911,Acute Care Hospitals,Voluntary non-profit - Private
+47861,WEKIVA SPRINGS,3947 SALISBURY RD,JACKSONVILLE,FL,32216,DUVAL,(904) 296-3533,Psychiatric,Proprietary
+20561,HARMON HOSPITAL,2170 EAST HARMON AVENUE,LAS VEGAS,NV,89119,CLARK,(702) 794-0100,Acute Care Hospitals,Voluntary non-profit - Private
+16287,JERSEY COMMUNITY HOSPITAL,400 MAPLE SUMMIT ROAD,JERSEYVILLE,IL,62052,JERSEY,(618) 498-6402,Acute Care Hospitals,Government - Local
+54497,BOONE COUNTY HOSPITAL,1015 UNION STREET,BOONE,IA,50036,BOONE,(515) 432-3140,Critical Access Hospitals,Government - Local
+18746,PALMDALE REGIONAL MEDICAL CENTER,38600 MEDICAL CENTER DRIVE,PALMDALE,CA,93552,LOS ANGELES,(661) 382-5000,Acute Care Hospitals,Proprietary
+78262,ADVENTIST HEALTH CASTLE,640 ULUKAHIKI ST,KAILUA,HI,96734,HONOLULU,(808) 263-5500,Acute Care Hospitals,Voluntary non-profit - Church
+72087,CALLAWAY DISTRICT HOSPITAL,"P O BOX 100, 211 E KIMBALL",CALLAWAY,NE,68825,CUSTER,(308) 836-2228,Critical Access Hospitals,Government - Hospital District or Authority
+46274,JENNINGS SENIOR CARE HOSPITAL,"1 HOSPITAL DRIVE, SUITE 201",JENNINGS,LA,70546,JEFFRSON DAVIS,(337) 824-1558,Psychiatric,Proprietary
+37591,HAYES GREEN BEACH MEMORIAL HOSPITAL,321 E HARRIS STREET,CHARLOTTE,MI,48813,EATON,(517) 543-1050,Critical Access Hospitals,Voluntary non-profit - Other
+68685,BRYLIN HOSP,1263 DELAWARE AVE,BUFFALO,NY,14209,ERIE,(716) 886-8200,Psychiatric,Proprietary
+79348,POPLAR BLUFF REGIONAL MEDICAL CENTER,3100 OAK GROVE ROAD,POPLAR BLUFF,MO,63901,BUTLER,(573) 785-7721,Acute Care Hospitals,Proprietary
+70852,LENOX HILL HOSPITAL,100 EAST 77TH STREET,NEW YORK,NY,10021,NEW YORK,(212) 439-2345,Acute Care Hospitals,Voluntary non-profit - Private
+83228,NOVANT HEALTH MINT HILL MEDICAL CENTER,8201 HEALTHCARE LOOP,CHARLOTTE,NC,28215,MECKLENBURG,(704) 384-4089,Acute Care Hospitals,Voluntary non-profit - Private
+49192,EVANSTON REGIONAL HOSPITAL,190 ARROWHEAD DR,EVANSTON,WY,82930,UINTA,(307) 789-3636,Acute Care Hospitals,Proprietary
+86655,HARLAN ARH HOSPITAL,81 BALL PARK ROAD,HARLAN,KY,40831,HARLAN,(606) 573-8100,Acute Care Hospitals,Voluntary non-profit - Other
+72451,KITTITAS VALLEY COMMUNITY HOSPITAL,603 SOUTH CHESTNUT,ELLENSBURG,WA,98926,KITTITAS,(509) 962-9841,Critical Access Hospitals,Government - Hospital District or Authority
+26646,SENTARA HALIFAX REGIONAL HOSPITAL,2204 WILBORN AVENUE,SOUTH BOSTON,VA,24592,HALIFAX,(434) 517-3100,Acute Care Hospitals,Voluntary non-profit - Private
+77730,COOPER UNIVERSITY HOSPITAL,1 COOPER PLAZA,CAMDEN,NJ,8103,CAMDEN,(856) 342-2000,Acute Care Hospitals,Voluntary non-profit - Private
+91191,MEDSTAR GEORGETOWN UNIVERSITY HOSPITAL,3800 RESERVOIR RD,WASHINGTON,DC,20007,THE DISTRICT,(202) 784-3000,Acute Care Hospitals,Voluntary non-profit - Private
+47087,MEDICAL CENTER HOSPITAL,500 W 4TH STREET,ODESSA,TX,79761,ECTOR,(432) 640-4000,Acute Care Hospitals,Government - Hospital District or Authority
+16665,WELLSPAN SURGERY AND REHABILITATION HOSPITAL,55 MONUMENT ROAD,YORK,PA,17403,YORK,(717) 812-6100,Acute Care Hospitals,Voluntary non-profit - Private
+12658,TULSA SPINE & SPECIALTY HOSPITAL,6901 SOUTH OLYMPIA AVENUE,TULSA,OK,74132,TULSA,(918) 388-5701,Acute Care Hospitals,Proprietary
+56290,NORTH SHORE MEDICAL CENTER -,81 HIGHLAND AVENUE,SALEM,MA,1970,ESSEX,(978) 741-1215,Acute Care Hospitals,Voluntary non-profit - Private
+64342,LAWNWOOD REGIONAL MEDICAL CENTER & HEART INSTITUTE,1700 S 23RD ST,FORT PIERCE,FL,34950,ST. LUCIE,(772) 461-4000,Acute Care Hospitals,Proprietary
+45648,OJAI VALLEY COMMUNITY HOSPITAL,1306 MARICOPA HWY,OJAI,CA,93023,VENTURA,(805) 640-2280,Critical Access Hospitals,Voluntary non-profit - Private
+46651,ST PATRICK HOSPITAL,500 W BROADWAY,MISSOULA,MT,59806,MISSOULA,(406) 543-7271,Acute Care Hospitals,Voluntary non-profit - Church
+83337,UNION HOSPITAL INC,1606 N SEVENTH ST,TERRE HAUTE,IN,47804,VIGO,(812) 238-7606,Acute Care Hospitals,Voluntary non-profit - Private
+10063,TRINITY HOSPITAL TWIN CITY,819 NORTH FIRST STREET,DENNISON,OH,44621,TUSCARAWAS,(740) 922-2800,Critical Access Hospitals,Voluntary non-profit - Church
+71559,THEDACARE MEDICAL CENTER - SHAWANO INC,100 COUNTY RD B,SHAWANO,WI,54166,SHAWANO,(715) 526-2111,Critical Access Hospitals,Voluntary non-profit - Private
+14656,MUSC HEALTH FLORENCE MEDICAL CENTER,805 PAMPLICO HWY BOX 100550,FLORENCE,SC,29505,FLORENCE,(843) 674-2500,Acute Care Hospitals,Proprietary
+69368,PANOLA MEDICAL CENTER,303 MEDICAL CENTER DRIVE,BATESVILLE,MS,38606,PANOLA,(662) 563-5611,Acute Care Hospitals,Proprietary
+49514,DAVIE MEDICAL CENTER,223 HOSPITAL STREET,MOCKSVILLE,NC,27028,DAVIE,(336) 751-8100,Acute Care Hospitals,Voluntary non-profit - Private
+38759,RESTON HOSPITAL CENTER,1850 TOWN CENTER PARKWAY,RESTON,VA,20190,FAIRFAX,(703) 689-9000,Acute Care Hospitals,Voluntary non-profit - Private
+11943,MEMORIALCARE SADDLEBACK MEDICAL CENTER,24451 HEALTH CENTER DRIVE,LAGUNA HILLS,CA,92653,ORANGE,(949) 837-4500,Acute Care Hospitals,Voluntary non-profit - Private
+90784,CARTERSVILLE MEDICAL CENTER,960 JOE FRANK HARRIS PARKWAY,CARTERSVILLE,GA,30120,BARTOW,(770) 387-8182,Acute Care Hospitals,Voluntary non-profit - Private
+66371,ST CHARLES SURGICAL HOSPITAL LLC,1717 ST CHARLES AVE,NEW ORLEANS,LA,70130,ORLEANS,(504) 529-6600,Acute Care Hospitals,Physician
+75594,PRESBYTERIAN ST LUKES MEDICAL CENTER,1719 E 19TH AVE,DENVER,CO,80218,DENVER,(303) 839-6000,Acute Care Hospitals,Government - State
+29929,ST ANTHONY NORTH HEALTH CAMPUS,14300 ORCHARD PKWY,WESTMINSTER,CO,80023,BROOMFIELD,(720) 627-0000,Acute Care Hospitals,Voluntary non-profit - Private
+34736,MCLAREN FLINT,401 S BALLENGER HIGHWAY,FLINT,MI,48532,GENESEE,(810) 342-2000,Acute Care Hospitals,Voluntary non-profit - Private
+69666,GULFPORT BEHAVIORAL HEALTH  SYSTEM,11150 US HIGHWAY 49 NORTH,GPT,MS,39503,HARRISON,(228) 831-1700,Psychiatric,Proprietary
+40030,CHATUGE REGIONAL HOSPITAL,110 S MAIN STREET,HIAWASSEE,GA,30546,TOWNS,(706) 896-2222,Critical Access Hospitals,Government - Hospital District or Authority
+43086,ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL,ONE ROBERT WOOD JOHNSON PLACE,NEW BRUNSWICK,NJ,8901,MIDDLESEX,(732) 937-8525,Acute Care Hospitals,Voluntary non-profit - Private
+66012,RED RIVER BEHAVIORAL HEALTH SYSTEM,1451 44TH AVENUE S,GRAND FORKS,ND,58201,GRAND FORKS,(701) 772-2500,Psychiatric,Proprietary
+71238,ADVENTHEALTH DURAND,1220 3RD AVE W,DURAND,WI,54736,PEPIN,(715) 672-4211,Critical Access Hospitals,Voluntary non-profit - Church
+86379,MERCY MEDICAL CENTER,2700 NW STEWART PARKWAY,ROSEBURG,OR,97471,DOUGLAS,(541) 673-0611,Acute Care Hospitals,Government - Hospital District or Authority
+37553,BURNETT MEDICAL CENTER,257 W ST GEORGE AVE,GRANTSBURG,WI,54840,BURNETT,(715) 463-5353,Critical Access Hospitals,Voluntary non-profit - Private
+49667,FAWCETT MEMORIAL HOSPITAL,21298 OLEAN BLVD,PORT CHARLOTTE,FL,33952,CHARLOTTE,(941) 629-1181,Acute Care Hospitals,Proprietary
+32383,NORTHWEST OHIO PSYCHIATRIC HOSPITAL,930 SOUTH DETROIT AVENUE,TOLEDO,OH,43614,LUCAS,(419) 381-1881,Psychiatric,Government - State
+65077,ST LUKE'S PATIENTS MEDICAL CENTER,4600 EAST SAM HOUSTON PARKWAY SOUTH,PASADENA,TX,77505,HARRIS,(281) 487-0700,Acute Care Hospitals,Physician
+70307,CHRISTUS OCHSNER LAKE AREA HOSPITAL,4200 NELSON ROAD,LAKE CHARLES,LA,70605,CALCASIEU,(337) 474-6370,Acute Care Hospitals,Voluntary non-profit - Private
+41231,BAYLOR SCOTT & WHITE MEDICAL CENTER - MARBLE FALLS,810 W HIGHWAY 71,MARBLE FALLS,TX,78654,BURNET,(830) 201-7308,Acute Care Hospitals,Voluntary non-profit - Private
+72686,MEMORIAL HOSPITAL,4500 MEMORIAL DRIVE,BELLEVILLE,IL,62226,ST. CLAIR,(618) 233-7750,Acute Care Hospitals,Voluntary non-profit - Private
+53557,HARDTNER MEDICAL CENTER,1102 N PINE ROAD,OLLA,LA,71465,LASALLE,(318) 495-3131,Critical Access Hospitals,Government - Hospital District or Authority
+92863,CHI HEALTH MERCY COUNCIL BLUFFS,800 MERCY DRIVE,COUNCIL BLUFFS,IA,51503,POTTAWATTAMIE,(712) 328-5000,Acute Care Hospitals,Voluntary non-profit - Private
+76503,ASCENSION NE WISCONSIN - ST ELIZABETH CAMPUS,1506 S ONEIDA ST,APPLETON,WI,54915,OUTAGAMIE,(920) 738-2000,Acute Care Hospitals,Voluntary non-profit - Private
+48149,"SANCTUARY AT THE WOODLANDS, THE","1910 CHEROKEE AVENUE, SW",CULLMAN,AL,35055,CULLMAN,(256) 739-1239,Psychiatric,Proprietary
+28730,FAIRVIEW REGIONAL MEDICAL CENTER AUTHORITY,523 EAST STATE ROAD,FAIRVIEW,OK,73737,MAJOR,(580) 227-3721,Critical Access Hospitals,Government - Hospital District or Authority
+47128,WALTHALL COUNTY GENERAL HOSPITAL CAH,100 HOSPITAL DRIVE,TYLERTOWN,MS,39667,WALTHALL,(601) 876-2122,Critical Access Hospitals,Government - Local
+64742,CENTER FOR BEHAVIORAL MEDICINE,1000 E 24TH STREET,KANSAS CITY,MO,64108,JACKSON,(816) 512-7000,Psychiatric,Government - State
+85996,MANCHESTER MEMORIAL HOSPITAL,71 HAYNES ST,MANCHESTER,CT,6040,HARTFORD,(860) 647-4780,Acute Care Hospitals,Proprietary
+28375,FIRST TEXAS HOSPITAL CARROLLTON LLC,1401 E TRINITY MILLS ROAD,CARROLLTON,TX,75006,DALLAS,(972) 810-0700,Acute Care Hospitals,Proprietary
+63274,ASHLEY COUNTY MEDICAL CENTER,1015 UNITY ROAD,CROSSETT,AR,71635,ASHLEY,(870) 364-4111,Critical Access Hospitals,Voluntary non-profit - Private
+75778,SAINT THOMAS WEST HOSPITAL,"4220 HARDING RD, PO BOX 380",NASHVILLE,TN,37205,DAVIDSON,(615) 222-2111,Acute Care Hospitals,Voluntary non-profit - Church
+83395,BROWARD HEALTH NORTH,201 E SAMPLE RD,POMPANO BEACH,FL,33064,BROWARD,(954) 786-6950,Acute Care Hospitals,Government - Hospital District or Authority
+27346,MCPHERSON HOSPITAL INC,1000 HOSPITAL DRIVE,MCPHERSON,KS,67460,MCPHERSON,(620) 241-2250,Acute Care Hospitals,Voluntary non-profit - Private
+91073,MINNESOTA VALLEY HEALTH CENTER  INC,621 SOUTH FOURTH STREET,LE SUEUR,MN,56058,LE SUEUR,(507) 665-3375,Critical Access Hospitals,Voluntary non-profit - Private
+30999,DESOTO MEMORIAL HOSPITAL,900 N ROBERT AVE,ARCADIA,FL,34265,DE SOTO,(863) 494-3535,Acute Care Hospitals,Voluntary non-profit - Private
+29604,ADVENTIST HEALTH SIMI VALLEY,2975 N SYCAMORE DR,SIMI VALLEY,CA,93065,VENTURA,(805) 955-6000,Acute Care Hospitals,Voluntary non-profit - Church
+79704,WASHINGTON COUNTY REGIONAL MEDICAL CENTER,610 SPARTA ROAD,SANDERSVILLE,GA,31082,WASHINGTON,(478) 240-2100,Acute Care Hospitals,Government - Hospital District or Authority
+71665,METHODIST HOSPITAL UNION COUNTY,4604 US HIGHWAY 60 WEST,MORGANFIELD,KY,42437,UNION,(270) 389-5000,Critical Access Hospitals,Voluntary non-profit - Church
+48003,ST MARY MEDICAL CENTER,1050 LINDEN AVE,LONG BEACH,CA,90813,LOS ANGELES,(562) 491-9000,Acute Care Hospitals,Voluntary non-profit - Church
+53458,COLORADO RIVER MEDICAL CENTER,1401 BAILEY AVE,NEEDLES,CA,92363,SAN BERNARDINO,(760) 326-4531,Critical Access Hospitals,Voluntary non-profit - Private
+48994,ASCENSION GENESYS HOSPITAL,ONE GENESYS PARKWAY,GRAND BLANC,MI,48439,GENESEE,(810) 606-5000,Acute Care Hospitals,Voluntary non-profit - Church
+38516,BAPTIST HOSPITAL OF MIAMI,8900 N KENDALL DR,MIAMI,FL,33176,MIAMI-DADE,(786) 596-1960,Acute Care Hospitals,Voluntary non-profit - Private
+70226,COMMONWEALTH HEALTH CENTER,1 LOWER NAVY HILL ROAD (PO BOX 409CK),GARAPAN,MP,96950,SAIPAN,(670) 234-8950,Acute Care Hospitals,Proprietary
+68739,MEDICAL CENTER OF THE ROCKIES,2500 ROCKY MOUNTAIN AVENUE,LOVELAND,CO,80538,LARIMER,(970) 624-2500,Acute Care Hospitals,Voluntary non-profit - Private
+21256,CHESAPEAKE GENERAL HOSPITAL,"736 BATTLEFIELD BLVD, NORTH",CHESAPEAKE,VA,23320,CHESAPEAKE CITY,(757) 312-8121,Acute Care Hospitals,Government - Hospital District or Authority
+80743,SARATOGA HOSPITAL,211 CHURCH STREET,SARATOGA SPRINGS,NY,12866,SARATOGA,(518) 587-3222,Acute Care Hospitals,Voluntary non-profit - Private
+24313,MELISSA MEMORIAL HOSPITAL,1001 E JOHNSON ST,HOLYOKE,CO,80734,PHILLIPS,(970) 854-2241,Critical Access Hospitals,Government - Hospital District or Authority
+56639,POWER COUNTY HOSPITAL DISTRICT,510 ROOSEVELT STREET,AMERICAN FALLS,ID,83211,POWER,(208) 226-3200,Critical Access Hospitals,Government - Hospital District or Authority
+31655,SLEEPY EYE MUNICIPAL HOSPITAL,400 FOURTH AVENUE NORTHWEST,SLEEPY EYE,MN,56085,BROWN,(507) 794-3571,Critical Access Hospitals,Government - Local
+26153,EMERSON HOSPITAL -,133 OLD ROAD TO 9 ACRE CORNER,W CONCORD,MA,1742,MIDDLESEX,(978) 369-1400,Acute Care Hospitals,Voluntary non-profit - Private
+59893,STEWARD MELBOURNE HOSPITAL,250 NORTH WICKHAM ROAD,MELBOURNE,FL,32935,BREVARD,(321) 752-1200,Acute Care Hospitals,Proprietary
+33847,MAINEGENERAL MEDICAL CENTER,35 MEDICAL CENTER PARKWAY,AUGUSTA,ME,4330,KENNEBEC,(207) 626-1000,Acute Care Hospitals,Voluntary non-profit - Other
+93414,MT ASCUTNEY HOSPITAL,289 COUNTY ROAD,WINDSOR,VT,5089,WINDSOR,(802) 674-6711,Critical Access Hospitals,Voluntary non-profit - Private
+67297,SAINT AGNES HOSPITAL,900 CATON AVENUE,BALTIMORE,MD,21229,BALTIMORE CITY,(410) 368-2101,Acute Care Hospitals,Voluntary non-profit - Church
+63012,CALDWELL MEMORIAL HOSPITAL,321 MULBERRY ST SW,LENOIR,NC,28645,CALDWELL,(828) 757-5100,Acute Care Hospitals,Voluntary non-profit - Other
+52955,MISSOURI RIVER MEDICAL CENTER,1501 ST CHARLES ST,FORT BENTON,MT,59442,CHOUTEAU,(406) 622-3331,Critical Access Hospitals,Government - Hospital District or Authority
+76665,ELMHURST MEMORIAL HOSPITAL,155 EAST BRUSH HILL ROAD,ELMHURST,IL,60126,DU PAGE,(331) 221-0130,Acute Care Hospitals,Proprietary
+58442,ST MARY'S MEDICAL CENTER,201 NW R D MIZE RD,BLUE SPRINGS,MO,64014,JACKSON,(816) 228-5900,Acute Care Hospitals,Voluntary non-profit - Church
+90940,LAC/HARBOR-UCLA MED CENTER,1000 W CARSON ST,TORRANCE,CA,90502,LOS ANGELES,(310) 222-2101,Acute Care Hospitals,Government - Local
+36357,HUDSON HOSPITAL & CLINIC,405 STAGELINE ROAD,HUDSON,WI,54016,ST. CROIX,(715) 531-6000,Critical Access Hospitals,Voluntary non-profit - Private
+49581,MOUNTAIN VIEW REGIONAL MEDICAL CENTER,4311 EAST LOHMAN AVENUE,LAS CRUCES,NM,88011,DONA ANA,(575) 556-7610,Acute Care Hospitals,Proprietary
+81035,CARIBBEAN MEDICAL CENTER,151 AVE OSVALDO MOLINA,FAJARDO,PR,738,FAJARDO,(787) 801-0081,Acute Care Hospitals,Proprietary
+61573,LINDSBORG COMMUNITY HOSPITAL,605 W LINCOLN STREET,LINDSBORG,KS,67456,MCPHERSON,(785) 227-3308,Critical Access Hospitals,Voluntary non-profit - Private
+36205,RAPIDES REGIONAL MEDICAL CENTER,211 4TH STREET,ALEXANDRIA,LA,71301,RAPIDES,(318) 769-3000,Acute Care Hospitals,Proprietary
+24160,OAK VALLEY HOSPITAL DISTRICT,350 S OAK AVE,OAKDALE,CA,95361,STANISLAUS,(209) 847-3011,Acute Care Hospitals,Government - Hospital District or Authority
+89770,FLINT RIVER COMMUNITY HOSPITAL,"509 SUMTER STREET, BOX 770",MONTEZUMA,GA,31063,DOOLY,(478) 472-3100,Acute Care Hospitals,Voluntary non-profit - Private
+41285,PAOLI HOSPITAL,255 WEST LANCASTER AVENUE,PAOLI,PA,19301,CHESTER,(610) 648-1000,Acute Care Hospitals,Voluntary non-profit - Private
+51221,HOLY NAME MEDICAL CENTER,718 TEANECK RD,TEANECK,NJ,7666,BERGEN,(201) 833-3000,Acute Care Hospitals,Voluntary non-profit - Private
+15536,ST LUKE HOSPITAL & LIVING CENTER,535 SOUTH FREEBORN,MARION,KS,66861,MARION,(620) 382-2177,Critical Access Hospitals,Government - Hospital District or Authority
+86921,LIFEWAYS HOSPITAL,8050 WEST NORTHVIEW STREET,BOISE,ID,83704,ADA,(208) 327-0504,Psychiatric,Voluntary non-profit - Private
+79766,SAINT ROSE DOMINICAN HOSPITALS - SAN MARTIN CAMPUS,8280 W WARM SPRINGS ROAD,LAS VEGAS,NV,89113,CLARK,(702) 492-8509,Acute Care Hospitals,Voluntary non-profit - Church
+23125,ESSENTIA HEALTH ST MARY'S MEDICAL CENTER,407 EAST THIRD STREET,DULUTH,MN,55805,ST. LOUIS,(218) 786-4000,Acute Care Hospitals,Voluntary non-profit - Private
+55404,MERCY HEALTH-ST RITA'S MEDICAL CENTER,730 WEST MARKET STREET,LIMA,OH,45801,ALLEN,(419) 227-3361,Acute Care Hospitals,Voluntary non-profit - Private
+17008,HERRIN HOSPITAL,201 S 14TH ST,HERRIN,IL,62948,WILLIAMSON,(618) 942-2171,Acute Care Hospitals,Voluntary non-profit - Private
+94468,KAISER FOUNDATION HOSPITAL MANTECA,1777 WEST YOSEMITE AVE,MANTECA,CA,95337,SAN JOAQUIN,(209) 825-3700,Acute Care Hospitals,Voluntary non-profit - Private
+17606,ALLIANCEHEALTH WOODWARD,900 17TH STREET,WOODWARD,OK,73801,WOODWARD,(580) 254-8492,Acute Care Hospitals,Proprietary
+43074,MILLER COUNTY HOSPITAL,209 N CUTHBERT STREET,COLQUITT,GA,39837,MILLER,(229) 758-4231,Critical Access Hospitals,Government - Hospital District or Authority
+25981,CONTRA COSTA REGIONAL MEDICAL CENTER,2500 ALHAMBRA AVENUE,MARTINEZ,CA,94553,CONTRA COSTA,(925) 370-5000,Acute Care Hospitals,Government - Local
+53449,HOLY FAMILY MEMORIAL,2300 WESTERN AVE,MANITOWOC,WI,54221,MANITOWOC,(920) 320-2011,Acute Care Hospitals,Voluntary non-profit - Other
+33126,VIRTUA MEMORIAL HOSPITAL OF BURLINGTON COUNTY,175 MADISON AVE,MOUNT HOLLY,NJ,8060,BURLINGTON,(609) 267-0700,Acute Care Hospitals,Voluntary non-profit - Private
+80669,GREAT FALLS CLINIC HOSPITAL,3010 15TH AVENUE SOUTH,GREAT FALLS,MT,59405,CASCADE,(406) 216-8000,Acute Care Hospitals,Proprietary
+59189,EUREKA COMMUNITY HEALTH SERVICES - CAH,200 J AVE POST OFFICE BOX 517,EUREKA,SD,57437,MC PHERSON,(605) 284-2661,Critical Access Hospitals,Voluntary non-profit - Private
+79596,COMMUNITY HOSPITAL NORTH,7150 CLEARVISTA DR,INDIANAPOLIS,IN,46256,MARION,(317) 621-5335,Acute Care Hospitals,Voluntary non-profit - Private
+14937,ADVENTHEALTH DELAND,701 W PLYMOUTH AVE,DELAND,FL,32720,VOLUSIA,(386) 943-4772,Acute Care Hospitals,Voluntary non-profit - Church
+11595,LOGAN REGIONAL HOSPITAL,500 EAST 1400 NORTH,LOGAN,UT,84341,CACHE,(435) 716-1000,Acute Care Hospitals,Voluntary non-profit - Private
+42407,TRINITY HOSPITAL,315 KNAPP ST,WOLF POINT,MT,59201,ROOSEVELT,(406) 653-6500,Critical Access Hospitals,Voluntary non-profit - Private
+51028,SHARKEY ISSAQUENA COMMUNITY HOSPITAL,47 SOUTH FOURTH ST,ROLLING FORK,MS,39159,SHARKEY,(662) 873-4395,Acute Care Hospitals,Government - Local
+80177,MEMORIAL HOSPITAL,1423 SEVENTH ST,AURORA,NE,68818,HAMILTON,(402) 694-3171,Critical Access Hospitals,Voluntary non-profit - Private
+52259,BEHAVIORAL HEALTHCARE CENTER AT MARTIN,"458 HANNINGS LANE, P O BOX 1006",MARTIN,TN,38237,WEAKLEY,(731) 588-2830,Psychiatric,Voluntary non-profit - Private
+82820,MERCY HEALTH ST VINCENT MEDICAL CENTER,2213 CHERRY STREET,TOLEDO,OH,43608,LUCAS,(419) 251-3232,Acute Care Hospitals,Voluntary non-profit - Church
+87217,CROSSROADS COMMUNITY HOSPITAL,8 DOCTORS PARK RD,MOUNT VERNON,IL,62864,JEFFERSON,(618) 244-5500,Acute Care Hospitals,Proprietary
+10194,LICKING MEMORIAL HOSPITAL,1320 WEST MAIN STREET,NEWARK,OH,43055,LICKING,(220) 564-4000,Acute Care Hospitals,Voluntary non-profit - Private
+51699,Womack AMC (FT Bragg),2817 Reilly Road,Fort Bragg,NC,28307,CUMBERLAND,(910) 907-9262,Acute Care - Department of Defense,Department of Defense
+36227,LAKE VIEW MEMORIAL HOSPITAL,325 ELEVENTH AVE,TWO HARBORS,MN,55616,LAKE,(218) 834-7300,Critical Access Hospitals,Voluntary non-profit - Private
+73497,ST VINCENT FISHERS HOSPITAL INC,13861 OLIO ROAD,FISHERS,IN,46037,HAMILTON,(317) 415-9000,Acute Care Hospitals,Voluntary non-profit - Private
+80384,SAMARITAN HOSPITAL,801 EAST WHEELER ROAD,MOSES LAKE,WA,98837,GRANT,(509) 765-5606,Acute Care Hospitals,Government - Hospital District or Authority
+38995,GUNDERSEN LUTHERAN MEDICAL CENTER,1910 SOUTH AVE,LA CROSSE,WI,54601,LA CROSSE,(608) 782-7300,Acute Care Hospitals,Voluntary non-profit - Private
+36576,IREDELL MEMORIAL HOSPITAL INC,557 BROOKDALE DR  P O BOX 1828,STATESVILLE,NC,28677,IREDELL,(704) 873-5661,Acute Care Hospitals,Voluntary non-profit - Private
+52233,LOMA LINDA UNIVERSITY CHILDREN'S HOSPITAL,11234 ANDERSON STREET SUITE A,LOMA LINDA,CA,92354,SAN BERNARDINO,(909) 558-8000,Acute Care Hospitals,Voluntary non-profit - Church
+37592,KISHWAUKEE COMMUNITY HOSPITAL,1 KISH HOSPITAL DRIVE,DEKALB,IL,60115,DE KALB,(815) 756-1521,Acute Care Hospitals,Voluntary non-profit - Private
+60404,REGIONAL MENTAL HEALTH CENTER,8555 TAFT ST,MERRILLVILLE,IN,46410,LAKE,(219) 769-4005,Psychiatric,Voluntary non-profit - Private
+84466,FRANCISCAN CHILDREN'S HOSPITAL & REHAB CENTER,30 WARREN STREET,BRIGHTON,MA,2135,SUFFOLK,(617) 254-3800,Childrens,Voluntary non-profit - Private
+37595,HOSPITAL DR SUSONI INC,55 PALM ST,ARECIBO,PR,614,ARECIBO,(787) 650-1031,Acute Care Hospitals,Voluntary non-profit - Private
+36443,WALLOWA MEMORIAL HOSPITAL,601 MEDICAL PARKWAY,ENTERPRISE,OR,97828,WALLOWA,(541) 426-3111,Critical Access Hospitals,Government - Hospital District or Authority
+78334,SOUTH FLORIDA STATE HOSPITAL,800 E CYPRESS DR,PEMBROKE PINES,FL,33025,BROWARD,(305) 967-7000,Psychiatric,Government - State
+76822,PLACENTIA LINDA HOSPITAL,1301 N ROSE DRIVE,PLACENTIA,CA,92870,ORANGE,(714) 993-2000,Acute Care Hospitals,Proprietary
+23653,REGIONS HOSPITAL,640 JACKSON STREET,SAINT PAUL,MN,55101,RAMSEY,(651) 254-1616,Acute Care Hospitals,Voluntary non-profit - Private
+57368,ALLIANCEHEALTH SEMINOLE,2401 WRANGLER BOULEVARD,SEMINOLE,OK,74868,SEMINOLE,(405) 303-4050,Acute Care Hospitals,Proprietary
+50887,CHARLESTON AREA MEDICAL CENTER,501 MORRIS STREET,CHARLESTON,WV,25301,KANAWHA,(304) 388-5432,Acute Care Hospitals,Voluntary non-profit - Private
+37575,WARREN MEMORIAL HOSPITAL,1000 NORTH SHENANDOAH AVE,FRONT ROYAL,VA,22630,WARREN,(703) 636-0300,Acute Care Hospitals,Voluntary non-profit - Other
+55284,SAVOY MEDICAL CENTER,801 POINCIANA AVENUE,MAMOU,LA,70554,EVANGELINE,(337) 468-5261,Acute Care Hospitals,Voluntary non-profit - Other
+38518,HEALTHBRIDGE CHILDREN'S HOSPITAL - ORANGE,393 S TUSTIN STREET,ORANGE,CA,92866,ORANGE,(714) 289-2400,Childrens,Proprietary
+63643,"PARKVIEW WABASH HOSPITAL, INC",10 JOHN KISSINGER DRIVE,WABASH,IN,46992,WABASH,(260) 563-3131,Critical Access Hospitals,Voluntary non-profit - Private
+92933,NH Bremerton,1 Boone Road Bremerton,Bremerton,WA,98312,KITSAP,(360) 475-4232,Acute Care - Department of Defense,Department of Defense
+27252,HARRISBURG MEDICAL CENTER,100 DOCTOR WARREN TUTTLE DR,HARRISBURG,IL,62946,SALINE,(618) 253-7671,Acute Care Hospitals,Voluntary non-profit - Other
+42190,HOUSTON METHODIST SAN JACINTO HOSPITAL,4401 GARTH ROAD,BAYTOWN,TX,77521,HARRIS,(281) 420-8600,Acute Care Hospitals,Voluntary non-profit - Private
+26640,PROVIDENCE LITTLE COMPANY OF MARY MED CTR TORRANCE,4101 TORRANCE BLVD,TORRANCE,CA,90503,LOS ANGELES,(310) 540-7676,Acute Care Hospitals,Voluntary non-profit - Church
+16505,MERIT HEALTH MADISON,161 RIVER OAKS DRIVE,CANTON,MS,39046,MADISON,(601) 855-4000,Acute Care Hospitals,Proprietary
+13896,ST ELIZABETH MEDICAL CENTER,2209 GENESEE STREET,UTICA,NY,13501,ONEIDA,(315) 798-8100,Acute Care Hospitals,Voluntary non-profit - Private
+91524,BELMONT BEHAVIORAL HOSPITAL,4200 MONUMENT AVENUE,PHILADELPHIA,PA,19131,PHILADELPHIA,(215) 877-2000,Psychiatric,Voluntary non-profit - Private
+29523,TEXOMA MEDICAL CENTER,5016 S US HIGHWAY 75,DENISON,TX,75020,GRAYSON,(903) 416-4000,Acute Care Hospitals,Proprietary
+49909,MAYHILL HOSPITAL,2809 SOUTH MAYHILL ROAD,DENTON,TX,76208,DENTON,(940) 239-3000,Acute Care Hospitals,Proprietary
+55436,TAMPA GENERAL HOSPITAL,1 TAMPA GENERAL CIR,TAMPA,FL,33606,HILLSBOROUGH,(813) 844-7000,Acute Care Hospitals,Voluntary non-profit - Private
+11693,ASHLEY MEDICAL CENTER,612 CENTER AVENUE N,ASHLEY,ND,58413,MCINTOSH,(701) 288-3433,Critical Access Hospitals,Voluntary non-profit - Private
+87438,ST CLOUD REGIONAL MEDICAL CENTER,2906 17TH STREET,SAINT CLOUD,FL,34769,OSCEOLA,(407) 498-3432,Acute Care Hospitals,Proprietary
+17813,MCCURTAIN MEMORIAL HOSPITAL,1301 LINCOLN ROAD,IDABEL,OK,74745,MCCURTAIN,(580) 286-7623,Critical Access Hospitals,Voluntary non-profit - Private
+27704,ST VINCENT HOSPITAL & HEALTH SERVICES,2001 W 86TH ST,INDIANAPOLIS,IN,46260,MARION,(317) 338-7000,Acute Care Hospitals,Voluntary non-profit - Church
+38763,WILKES-BARRE GENERAL HOSPITAL,575 NORTH RIVER STREET,WILKES-BARRE,PA,18764,LUZERNE,(570) 829-8111,Acute Care Hospitals,Voluntary non-profit - Private
+75736,UNIVERSITY OF LOUISVILLE HOSPITAL,530 SOUTH JACKSON STREET,LOUISVILLE,KY,40202,JEFFERSON,(502) 562-3000,Acute Care Hospitals,Voluntary non-profit - Private
+20657,MASSENA MEMORIAL HOSPITAL,1 HOSPITAL DRIVE,MASSENA,NY,13662,ST. LAWRENCE,(315) 764-1711,Acute Care Hospitals,Government - Local
+72434,CENTURA HEALTH-LITTLETON ADVENTIST HOSPITAL,7700 S BROADWAY,LITTLETON,CO,80122,ARAPAHOE,(303) 730-8900,Acute Care Hospitals,Voluntary non-profit - Church
+14006,REYNOLDS MEMORIAL HOSPITAL,800 WHEELING AVE,GLEN DALE,WV,26038,MARSHALL,(304) 843-3230,Acute Care Hospitals,Voluntary non-profit - Private
+84322,COVENANT MEDICAL CENTER,3615 19TH STREET,LUBBOCK,TX,79410,LUBBOCK,(806) 725-4431,Acute Care Hospitals,Voluntary non-profit - Church
+80070,HACKENSACK UNIVERSITY MEDICAL CENTER,30 PROSPECT AVE,HACKENSACK,NJ,7601,BERGEN,(551) 996-2000,Acute Care Hospitals,Voluntary non-profit - Private
+73603,DOUGLAS COUNTY MEMORIAL HOSPITAL-CAH,708 8TH ST,ARMOUR,SD,57313,DOUGLAS,(605) 724-2159,Critical Access Hospitals,Voluntary non-profit - Private
+88381,ROCKFORD CENTER,100 ROCKFORD DRIVE,NEWARK,DE,19713,NEW CASTLE,(302) 996-5480,Psychiatric,Proprietary
+15445,GARFIELD MEMORIAL HOSPITAL,200 NORTH 400 EAST,PANGUITCH,UT,84759,GARFIELD,(435) 676-8811,Critical Access Hospitals,Government - Local
+71239,MAYO CLINIC HEALTH SYSTEM - ST JAMES,1101 MOULTON AND PARSONS DRIVE,ST JAMES,MN,56081,WATONWAN,(507) 375-8601,Critical Access Hospitals,Voluntary non-profit - Other
+63512,FRYE REGIONAL MEDICAL CENTER,420 N CENTER ST,HICKORY,NC,28601,CATAWBA,(828) 322-6070,Acute Care Hospitals,Proprietary
+41273,BANNER CASA GRANDE MEDICAL CENTER,1800 EAST FLORENCE BOULEVARD,CASA GRANDE,AZ,85122,PINAL,(520) 381-6300,Acute Care Hospitals,Voluntary non-profit - Other
+89781,HALE COUNTY HOSPITAL,508 GREEN STREET,GREENSBORO,AL,36744,HALE,(334) 624-3024,Acute Care Hospitals,Government - Hospital District or Authority
+91434,PHS INDIAN HOSPITAL AT ROSEBUD,400 SOLDIER CREEK ROAD,ROSEBUD,SD,57570,TODD,(605) 747-2231,Acute Care Hospitals,Government - Federal
+61895,SHRINERS HOSPITAL FOR CHILDREN,911 WEST 5TH AVENUE,SPOKANE,WA,99204,SPOKANE,(509) 623-0422,Childrens,Voluntary non-profit - Private
+70073,UNIVERSITY OF ALABAMA HOSPITAL,619 SOUTH 19TH STREET,BIRMINGHAM,AL,35233,JEFFERSON,(205) 934-4011,Acute Care Hospitals,Government - State
+24107,ABBEVILLE AREA MEDICAL CENTER,420 THOMSON CIRCLE,ABBEVILLE,SC,29620,ABBEVILLE,(864) 366-5011,Critical Access Hospitals,Government - Local
+39983,COON MEMORIAL HOSPITAL,1411 DENVER AVENUE,DALHART,TX,79022,DALLAM,(806) 244-4571,Critical Access Hospitals,Government - Hospital District or Authority
+73772,MERCY HEALTH - FAIRFIELD HOSPITAL,3000 MACK ROAD,FAIRFIELD,OH,45014,BUTLER,(513) 870-7197,Acute Care Hospitals,Voluntary non-profit - Private
+21318,T J HEALTH COLUMBIA,901 WESTLAKE DRIVE,COLUMBIA,KY,42728,ADAIR,(270) 384-4753,Acute Care Hospitals,Government - Hospital District or Authority
+68047,PECOS COUNTY MEMORIAL HOSPITAL,387 WEST I 10,FORT STOCKTON,TX,79735,PECOS,(432) 336-2004,Critical Access Hospitals,Government - Local
+60477,SAMARITAN LEBANON COMMUNITY HOSPITAL,525 N SANTIAM HIGHWAY,LEBANON,OR,97355,LINN,(541) 258-2101,Critical Access Hospitals,Voluntary non-profit - Church
+88332,NORTH CENTRAL HEALTH CARE,1100 LAKEVIEW DR,WAUSAU,WI,54403,MARATHON,(715) 848-4600,Psychiatric,Voluntary non-profit - Other
+79354,CARILION GILES COMMUNITY HOSPITAL,159 HARTLEY WAY,PEARISBURG,VA,24134,GILES,(540) 921-6000,Critical Access Hospitals,Voluntary non-profit - Private
+79158,BANNER HEART HOSPITAL,6750 EAST BAYWOOD AVENUE,MESA,AZ,85206,MARICOPA,(480) 854-5050,Acute Care Hospitals,Voluntary non-profit - Private
+33404,"HACIENDA CHILDREN'S HOSPITAL, INC.",610 WEST JEROME AVENUE,MESA,AZ,85210,MARICOPA,(602) 243-4231,Childrens,Proprietary
+58351,PETERSON REGIONAL MEDICAL CENTER,551 HILL COUNTRY DRIVE,KERRVILLE,TX,78028,KERR,(830) 896-4200,Acute Care Hospitals,Voluntary non-profit - Private
+91081,ASPIRUS LANGLADE HOSPITAL,112 E FIFTH AVE,ANTIGO,WI,54409,LANGLADE,(715) 623-2331,Critical Access Hospitals,Voluntary non-profit - Church
+59573,HENRY COUNTY MEDICAL CENTER,301 TYSON AV,PARIS,TN,38242,HENRY,(731) 642-1220,Acute Care Hospitals,Government - Hospital District or Authority
+28204,SUNBURY COMMUNITY HOSPITAL,350 NORTH 11TH STREET,SUNBURY,PA,17801,NORTHUMBERLND,(570) 286-3333,Acute Care Hospitals,Proprietary
+18699,SWIFT COUNTY BENSON HOSPITAL,1815 WISCONSIN AVENUE,BENSON,MN,56215,SWIFT,(320) 843-4232,Critical Access Hospitals,Government - Hospital District or Authority
+32191,NORTH SHORE MEDICAL CENTER,1100 NW 95TH ST,MIAMI,FL,33150,MIAMI-DADE,(305) 835-6000,Acute Care Hospitals,Proprietary
+45608,BUENA VISTA REGIONAL MEDICAL CENTER,1525 WEST 5TH STREET,STORM LAKE,IA,50588,BUENA VISTA,(712) 732-4030,Critical Access Hospitals,Government - Local
+40545,CRESTWOOD MEDICAL CENTER,ONE HOSPITAL DR SE,HUNTSVILLE,AL,35801,MADISON,(256) 882-3100,Acute Care Hospitals,Proprietary
+75943,DOCTORS NEUROPSYCHIATRIC HOSPITAL,417 S WHITLOCK ST,BREMEN,IN,46506,MARSHALL,(574) 546-0330,Psychiatric,Proprietary
+76859,TRUMAN MEDICAL CENTER HOSPITAL HILL,2301 HOLMES STREET,KANSAS CITY,MO,64108,JACKSON,(816) 404-1000,Acute Care Hospitals,Voluntary non-profit - Private
+66044,REGIONAL WEST MEDICAL CENTER,4021 AVE B,SCOTTSBLUFF,NE,69361,SCOTT BLUFF,(308) 635-3711,Acute Care Hospitals,Voluntary non-profit - Private
+37390,PHYSICIANS REGIONAL MEDICAL CENTER - PINE RIDGE,6101 PINE RIDGE ROAD,NAPLES,FL,34119,COLLIER,(239) 348-4000,Acute Care Hospitals,Proprietary
+20237,MONROE COUNTY HOSPITAL,2016 SOUTH ALABAMA AVENUE,MONROEVILLE,AL,36460,MONROE,(251) 575-3111,Acute Care Hospitals,Government - Local
+85321,"ST JOHN MEDICAL CENTER, INC",1923 SOUTH UTICA AVENUE,TULSA,OK,74104,TULSA,(918) 744-3131,Acute Care Hospitals,Voluntary non-profit - Private
+88399,ST ELIZABETH MEDICAL CENTER NORTH,1 MEDICAL VILLAGE DRIVE,EDGEWOOD,KY,41017,KENTON,(859) 301-2000,Acute Care Hospitals,Voluntary non-profit - Church
+68140,LAWRENCE COUNTY MEMORIAL HOSPITAL,2200 STATE ST,LAWRENCEVILLE,IL,62439,LAWRENCE,(618) 943-1000,Critical Access Hospitals,Voluntary non-profit - Private
+32558,SHANDS LIVE OAK REGIONAL MEDICAL CENTER,1100 SW 11TH ST,LIVE OAK,FL,32060,SUWANNEE,(904) 362-1413,Critical Access Hospitals,Proprietary
+79529,SKAGIT VALLEY HOSPITAL,1415 KINCAID STREET,MOUNT VERNON,WA,98274,SKAGIT,(360) 424-4111,Acute Care Hospitals,Government - Hospital District or Authority
+16371,VALLEY FORGE MEDICAL CENTER AND HOSPITAL,1033 W GERMANTOWN PIKE,NORRISTOWN,PA,19401,MONTGOMERY,(215) 539-8500,Acute Care Hospitals,Proprietary
+78850,O.A.S.I.S. HOSPITAL,750 NORTH 40TH STREET,PHOENIX,AZ,85008,MARICOPA,(602) 797-7700,Acute Care Hospitals,Voluntary non-profit - Private
+73116,VISTA MEDICAL CENTER EAST,1324 NORTH SHERIDAN ROAD,WAUKEGAN,IL,60085,LAKE,(847) 360-3000,Acute Care Hospitals,Voluntary non-profit - Other
+88766,ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL HAMILTON,ONE HAMILTON HEALTH PLACE,HAMILTON,NJ,8690,MERCER,(609) 586-7900,Acute Care Hospitals,Voluntary non-profit - Private
+17257,FOUNDATIONS BEHAVIORAL HEALTH,833 EAST BUTLER AVE,DOYLESTOWN,PA,18901,BUCKS,(215) 345-0444,Psychiatric,Voluntary non-profit - Private
+65622,ARTESIA GENERAL HOSPITAL,702 N 13TH STREET,ARTESIA,NM,88210,EDDY,(575) 748-3333,Acute Care Hospitals,Voluntary non-profit - Other
+84781,SOUTH MISSISSISSPI COUNTY REGIONAL MEDICAL CENTER,611 WEST LEE AVENUE,OSCEOLA,AR,72370,MISSISSIPPI,(870) 563-7000,Critical Access Hospitals,Government - Local
+56721,BAPTIST HEALTH CORBIN,ONE TRILLIUM WAY,CORBIN,KY,40701,WHITLEY,(606) 528-1212,Acute Care Hospitals,Voluntary non-profit - Private
+21628,NMC Camp Lejeune,100 Brewster Boulevard,Camp Lejeune,NC,28547,ONSLOW,(910) 450-4300,Acute Care - Department of Defense,Department of Defense
+75324,LUTHERAN MEDICAL CENTER,8300 W 38TH AVE,WHEAT RIDGE,CO,80033,JEFFERSON,(303) 425-4500,Acute Care Hospitals,Voluntary non-profit - Private
+15747,RENVILLE COUNTY HOSPITAL AND CLINICS,100 HEALTHY WAY,OLIVIA,MN,56277,RENVILLE,(320) 523-1261,Critical Access Hospitals,Government - Local
+77310,ADVENTHEALTH MANCHESTER,210 MARIE LANGDON DRIVE,MANCHESTER,KY,40962,CLAY,(606) 598-5104,Acute Care Hospitals,Voluntary non-profit - Church
+26931,OTTO KAISER MEMORIAL HOSPITAL,3349 S HIGHWAY 181,KENEDY,TX,78119,KARNES,(830) 583-3401,Critical Access Hospitals,Government - Hospital District or Authority
+72747,MERCY HOSPITAL SOUTH,10010 KENNERLY ROAD,SAINT LOUIS,MO,63128,ST. LOUIS,(314) 525-1000,Acute Care Hospitals,Voluntary non-profit - Private
+19837,NEWMAN MEMORIAL HOSPITAL,905 SOUTH MAIN STREET,SHATTUCK,OK,73858,ELLIS,(580) 938-2551,Critical Access Hospitals,Government - Local
+52117,ST ALOISIUS MEDICAL CENTER,325 E BREWSTER ST,HARVEY,ND,58341,WELLS,(701) 324-4651,Critical Access Hospitals,Voluntary non-profit - Private
+69181,ALTA BATES SUMMIT MEDICAL CENTER - ALTA BATES CAMP,2450 ASHBY AVENUE,BERKELEY,CA,94705,ALAMEDA,(510) 204-4444,Acute Care Hospitals,Voluntary non-profit - Private
+78625,"JELLICO MEDICAL CENTER, INC",188 HOSPITAL LANE,JELLICO,TN,37762,CAMPBELL,(423) 784-7252,Acute Care Hospitals,Voluntary non-profit - Private
+90371,ADVENTHEALTH WATERMAN,1000 WATERMAN WAY,TAVARES,FL,32778,LAKE,(352) 253-3300,Acute Care Hospitals,Voluntary non-profit - Church
+83013,PARKVIEW REGIONAL HOSPITAL,600 SOUTH BONHAM STREET,MEXIA,TX,76667,LIMESTONE,(254) 562-5332,Acute Care Hospitals,Proprietary
+32147,PARKVIEW HUNTINGTON HOSPITAL,2001 STULTS RD,HUNTINGTON,IN,46750,HUNTINGTON,(260) 355-3000,Acute Care Hospitals,Voluntary non-profit - Private
+45124,FAIRFIELD MEMORIAL HOSPITAL 1,303 N W 11TH STREET,FAIRFIELD,IL,62837,WAYNE,(618) 842-2611,Critical Access Hospitals,Voluntary non-profit - Private
+94392,AVERA HAND COUNTY MEMORIAL HOSPITAL AND CLINIC,300 W 5TH ST,MILLER,SD,57362,HAND,(605) 853-2421,Critical Access Hospitals,Voluntary non-profit - Private
+17810,GEISINGER-LEWISTOWN HOSPITAL,400 HIGHLAND AVENUE,LEWISTOWN,PA,17044,MIFFLIN,(717) 248-5411,Acute Care Hospitals,Voluntary non-profit - Private
+28812,MCLEAN HOSPITAL CORPORATION,115 MILL STREET,BELMONT,MA,2478,MIDDLESEX,(617) 855-3450,Psychiatric,Voluntary non-profit - Private
+22805,MERCYONE WATERLOO MEDICAL CENTER,3421 WEST NINTH STREET,WATERLOO,IA,50702,BLACK HAWK,(319) 272-8000,Acute Care Hospitals,Voluntary non-profit - Church
+17708,HOSPITAL GENERAL DE CASTANER,CARR 135 KM 64 2,CASTANER,PR,631,LARES,(787) 829-5010,Acute Care Hospitals,Voluntary non-profit - Private
+88869,NAVICENT HEALTH BALDWIN,821 NORTH COBB STREET,MILLEDGEVILLE,GA,31061,BALDWIN,(478) 454-3550,Acute Care Hospitals,Proprietary
+86822,AVERA QUEEN OF PEACE,525 N FOSTER,MITCHELL,SD,57301,DAVISON,(605) 995-2000,Acute Care Hospitals,Voluntary non-profit - Private
+26531,KAISER FOUNDATION HOSPITAL,99 MONTECILLO RD,SAN RAFAEL,CA,94903,MARIN,(415) 444-2000,Acute Care Hospitals,Voluntary non-profit - Private
+71483,JOHNSON COUNTY COMMUNITY HOSPITAL,1901 S SHADY ST,MOUNTAIN CITY,TN,37683,JOHNSON,(423) 727-1110,Critical Access Hospitals,Government - Hospital District or Authority
+76610,HURON VALLEY-SINAI HOSPITAL,ONE WILLIAM CARLS DRIVE,COMMERCE TOWNSHIP,MI,48382,OAKLAND,(248) 937-3370,Acute Care Hospitals,Proprietary
+67132,TRI-CITY MEDICAL CENTER,4002 VISTA WAY,OCEANSIDE,CA,92056,SAN DIEGO,(760) 724-8411,Acute Care Hospitals,Government - Hospital District or Authority
+72388,JOHN C FREMONT HEALTHCARE DISTRICT,5189 HOSPITAL ROAD,MARIPOSA,CA,95338,MARIPOSA,(209) 966-3631,Critical Access Hospitals,Government - Hospital District or Authority
+78803,RUMFORD  HOSPITAL,420 FRANKLIN STREET,RUMFORD,ME,4276,OXFORD,(207) 369-1000,Critical Access Hospitals,Proprietary
+79579,MEMORIAL MISSION HOSPITAL AND ASHEVILLE SURGERY CE,509 BILTMORE AVE,ASHEVILLE,NC,28801,BUNCOMBE,(828) 213-1111,Acute Care Hospitals,Voluntary non-profit - Private
+19443,COLEMAN COUNTY MEDICAL CENTER COMPANY,310 SOUTH PECOS STREET,COLEMAN,TX,76834,COLEMAN,(325) 625-2135,Critical Access Hospitals,Government - Hospital District or Authority
+14422,"SOUTHWESTERN REGIONAL MEDICAL CENTER, INC",10109 EAST 79TH STREET,TULSA,OK,74133,TULSA,(918) 286-5000,Acute Care Hospitals,Proprietary
+22256,HILL COUNTRY MEMORIAL HOSPITAL INC,1020 SOUTH STATE HIGHWAY 16,FREDERICKSBURG,TX,78624,GILLESPIE,(830) 997-4353,Acute Care Hospitals,Voluntary non-profit - Private
+70908,UPMC JAMESON,1211 WILMINGTON AVENUE,NEW CASTLE,PA,16105,LAWRENCE,(724) 656-4100,Acute Care Hospitals,Voluntary non-profit - Other
+18555,BRYCE HOSPITAL,200 UNIVERSITY BLVD,TUSCALOOSA,AL,35401,TUSCALOOSA,(205) 759-0750,Psychiatric,Government - State
+20814,SEARHC WRANGELL MEDICAL CENTER-CAH,310 BENNETT STREET PO BOX 1081,WRANGELL,AK,99929,WRANGELL CITY AND BOROUGH,(907) 874-7000,Critical Access Hospitals,Government - Local
+48049,VALLEY REGIONAL HOSPITAL,243 ELM STREET,CLAREMONT,NH,3743,SULLIVAN,(603) 542-7771,Critical Access Hospitals,Voluntary non-profit - Private
+67283,MOUNT CARMEL WEST,793 WEST STATE STREET,COLUMBUS,OH,43222,FRANKLIN,(614) 234-5000,Acute Care Hospitals,Voluntary non-profit - Private
+77499,POTTSTOWN HOSPITAL,1600 EAST HIGH STREET,POTTSTOWN,PA,19464,MONTGOMERY,(610) 327-7000,Acute Care Hospitals,Voluntary non-profit - Private
+15665,MERCY HOSPITAL AND MEDICAL CENTER,2525 S MICHIGAN AVE,CHICAGO,IL,60616,COOK,(312) 567-2000,Acute Care Hospitals,Voluntary non-profit - Private
+71475,WHITE RIVER MEDICAL CENTER,1710 HARRISON STREET,BATESVILLE,AR,72503,INDEPENDENCE,(870) 262-1200,Acute Care Hospitals,Voluntary non-profit - Private
+67728,SPARKS MEDICAL CENTER - VAN BUREN,211 CRAWFORD MEMORIAL DRIVE,VAN BUREN,AR,72956,CRAWFORD,(479) 474-3401,Acute Care Hospitals,Proprietary
+83079,UNITYPOINT HEALTH - KEOKUK,1600 MORGAN STREET,KEOKUK,IA,52632,LEE,(319) 524-7150,Acute Care Hospitals,Voluntary non-profit - Private
+64561,COOPERSTOWN MEDICAL CENTER,1200 ROBERTS AVE NE,COOPERSTOWN,ND,58425,GRIGGS,(701) 797-2221,Critical Access Hospitals,Voluntary non-profit - Private
+93569,ST VINCENT CHARITY MEDICAL CENTER,2351 EAST 22ND STREET,CLEVELAND,OH,44115,CUYAHOGA,(216) 861-6200,Acute Care Hospitals,Voluntary non-profit - Private
+17753,MERCY HOSPITAL AURORA,500 PORTER AVENUE,AURORA,MO,65605,LAWRENCE,(417) 678-2122,Critical Access Hospitals,Voluntary non-profit - Church
+23878,TRISTAR SUMMIT MEDICAL CENTER,5655 FRIST BLVD,HERMITAGE,TN,37076,DAVIDSON,(615) 316-3000,Acute Care Hospitals,Proprietary
+79449,MAYO CLINIC HEALTH SYSTEM-OAKRIDGE,13025 8TH ST,OSSEO,WI,54758,TREMPEALEAU,(715) 597-3121,Critical Access Hospitals,Voluntary non-profit - Other
+87023,ALTA BATES SUMMIT MEDICAL CENTER,350 HAWTHORNE AVENUE,OAKLAND,CA,94609,ALAMEDA,(510) 655-4000,Acute Care Hospitals,Voluntary non-profit - Private
+22485,GUNNISON VALLEY HOSPITAL,64 EAST 100 NORTH,GUNNISON,UT,84634,SANPETE,(435) 528-7246,Critical Access Hospitals,Proprietary
+25510,UCSF MEDICAL CENTER,"505 PARNASSUS AVE, BOX 0296",SAN FRANCISCO,CA,94143,SAN FRANCISCO,(415) 353-2733,Acute Care Hospitals,Voluntary non-profit - Other
+40650,CHILLICOTHE HOSPITAL DISTRICT,303 AVENUE I,CHILLICOTHE,TX,79225,HARDEMAN,(940) 852-5131,Critical Access Hospitals,Government - Hospital District or Authority
+19348,MOSAIC LIFE CARE AT ST JOSEPH,5325 FARAON STREET,SAINT JOSEPH,MO,64506,BUCHANAN,(816) 271-6000,Acute Care Hospitals,Voluntary non-profit - Private
+76520,HARLAN COUNTY HEALTH SYSTEM,"P O BOX 836, 717 NORTH BROWN ST",ALMA,NE,68920,HARLAN,(308) 928-2151,Critical Access Hospitals,Government - Local
+78914,TYLER HOLMES MEMORIAL HOSPITAL CAH,409 TYLER HOLMES DRIVE,WINONA,MS,38967,MONTGOMERY,(662) 283-4114,Critical Access Hospitals,Voluntary non-profit - Private
+28547,JOHN DEMPSEY HOSPITAL,263 FARMINGTON AVE,FARMINGTON,CT,6032,HARTFORD,(860) 679-1145,Acute Care Hospitals,Government - Local
+34890,VIDANT CHOWAN HOSPITAL,211 VIRGINIA RD,EDENTON,NC,27932,CHOWAN,(252) 482-8451,Critical Access Hospitals,Government - Local
+29759,ASCENSION SE WISCONSIN HOSPITAL - ST JOSEPH CAMPUS,5000 W CHAMBERS ST,MILWAUKEE,WI,53210,MILWAUKEE,(414) 447-2130,Acute Care Hospitals,Voluntary non-profit - Church
+72046,UPMC PASSAVANT,9100 BABCOCK BOULEVARD,PITTSBURGH,PA,15237,ALLEGHENY,(412) 367-6700,Acute Care Hospitals,Voluntary non-profit - Private
+34410,CROSS CREEK HOSPITAL,8402 CROSS PARK DRIVE,AUSTIN,TX,78754,TRAVIS,(844) 572-4956,Psychiatric,Proprietary
+51582,PROVIDENCE MOUNT CARMEL HOSPITAL,982 EAST COLUMBIA,COLVILLE,WA,99114,STEVENS,(509) 684-2561,Critical Access Hospitals,Voluntary non-profit - Church
+47420,MARYMOUNT HOSPITAL,12300 MCCRACKEN ROAD,GARFIELD HEIGHTS,OH,44125,CUYAHOGA,(216) 581-0500,Acute Care Hospitals,Voluntary non-profit - Private
+58493,TRINITY HOSPITALS,407 3RD ST SE,MINOT,ND,58701,WARD,(701) 857-5000,Acute Care Hospitals,Voluntary non-profit - Private
+37829,ADVOCATE BROMENN MEDICAL CENTER,1304 FRANKLIN AVENUE,NORMAL,IL,61761,MC LEAN,(309) 454-1400,Acute Care Hospitals,Voluntary non-profit - Church
+12711,CABELL HUNTINGTON HOSPITAL INC,1340 HAL GREER BOULEVARD,HUNTINGTON,WV,25701,CABELL,(304) 526-2192,Acute Care Hospitals,Voluntary non-profit - Private
+81659,KAISER FOUNDATION HOSPITAL AND REHAB CENTER,975 SERENO DR,VALLEJO,CA,94589,SOLANO,(707) 651-1000,Acute Care Hospitals,Voluntary non-profit - Other
+76996,ALASKA PSYCHIATRIC INSTITUTE,3700 PIPER STREET,ANCHORAGE,AK,99508,ANCHORAGE,(907) 269-7100,Psychiatric,Government - State
+45855,METHODIST RICHARDSON MEDICAL CENTER,2831 E PRESIDENT GEORGE BUSH HIGHWAY,RICHARDSON,TX,75082,COLLIN,(469) 204-1000,Acute Care Hospitals,Government - Hospital District or Authority
+55167,LIFESCAPE,2501 W 26TH ST,SIOUX FALLS,SD,57105,MINNEHAHA,(605) 444-9500,Childrens,Voluntary non-profit - Private
+72172,BRONSON SOUTH HAVEN HOSPITAL,955 S BAILEY AVE,SOUTH HAVEN,MI,49090,VAN BUREN,(269) 637-5271,Acute Care Hospitals,Government - Hospital District or Authority
+94234,RICE MEDICAL CENTER,600 SOUTH AUSTIN ROAD,EAGLE LAKE,TX,77434,COLORADO,(979) 234-5571,Critical Access Hospitals,Proprietary
+82501,KEOKUK COUNTY HEALTH CENTER,23019 HIGHWAY 149,SIGOURNEY,IA,52591,KEOKUK,(641) 622-2720,Critical Access Hospitals,Voluntary non-profit - Other
+17726,LONG ISLAND JEWISH MEDICAL CENTER,270 - 05 76TH AVENUE,NEW HYDE PARK,NY,11040,NASSAU,(718) 470-7000,Acute Care Hospitals,Voluntary non-profit - Private
+12626,PIH HOSPITAL - DOWNEY,11500 BROOKSHIRE AVENUE,DOWNEY,CA,90241,LOS ANGELES,(526) 904-5000,Acute Care Hospitals,Voluntary non-profit - Private
+93600,CALDWELL MEDICAL CENTER,100 MEDICAL CENTER DRIVE,PRINCETON,KY,42445,CALDWELL,(270) 365-0300,Critical Access Hospitals,Government - Hospital District or Authority
+10854,LAVACA MEDICAL CENTER,1400 NORTH TEXANA STREET,HALLETTSVILLE,TX,77964,LAVACA,(361) 798-3671,Critical Access Hospitals,Government - Hospital District or Authority
+94294,MERCYHEALTH HOSPITAL ROCKTON AVENUE,2400 NORTH ROCKTON AVENUE,ROCKFORD,IL,61103,WINNEBAGO,(815) 968-6861,Acute Care Hospitals,Voluntary non-profit - Private
+58196,MEMORIAL HOSPITAL OF TAMPA,2901 W SWANN AVE,TAMPA,FL,33609,HILLSBOROUGH,(813) 873-6400,Acute Care Hospitals,Proprietary
+32249,BAYLOR REGIONAL MEDICAL CENTER AT PLANO,4700 ALLIANCE BOULEVARD,PLANO,TX,75093,COLLIN,(469) 814-2000,Acute Care Hospitals,Voluntary non-profit - Other
+84429,TOPS SURGICAL SPECIALTY HOSPITAL,17080 RED OAK DRIVE,HOUSTON,TX,77090,HARRIS,(281) 539-2900,Acute Care Hospitals,Physician
+90161,RIVENDELL BEHAVIORAL HEALTH SERVICES,1035 PORTER PIKE,BOWLING GREEN,KY,42103,WARREN,(270) 843-1199,Psychiatric,Government - Federal
+39113,COMMUNITY BEHAVIORAL HEALTH HOSPITAL - BEMIDJI,800 BEMIDJI AVENUE NORTH SUITE 200,BEMIDJI,MN,56601,BELTRAMI,(218) 308-2401,Psychiatric,Government - State
+11134,CARLISLE REGIONAL MEDICAL CENTER,361 ALEXANDER SPRING ROAD,CARLISLE,PA,17015,CUMBERLAND,(717) 249-1212,Acute Care Hospitals,Proprietary
+60364,BAPTIST EMERGENCY HOSPITAL,16088 SAN PEDRO,SAN ANTONIO,TX,78232,BEXAR,(210) 402-4092,Acute Care Hospitals,Proprietary
+25192,PAWNEE COUNTY MEMORIAL HOSPITAL,"P O BOX 433, 600 I ST",PAWNEE CITY,NE,68420,PAWNEE,(402) 852-2231,Critical Access Hospitals,Proprietary
+40999,SOIN MEDICAL CENTER,3535 PENTAGON PARK BLVD,BEAVER CREEK,OH,45431,GREENE,(937) 702-4000,Acute Care Hospitals,Voluntary non-profit - Private
+68973,BAYLOR SCOTT & WHITE MEDICAL CENTER- COLLEGE STATI,700 SCOTT & WHITE DRIVE,COLLEGE STATION,TX,77845,BRAZOS,(979) 691-3701,Acute Care Hospitals,Voluntary non-profit - Private
+80594,SAINT FRANCIS MEDICAL CENTER,3630 EAST IMPERIAL HIGHWAY,LYNWOOD,CA,90262,LOS ANGELES,(310) 900-8900,Acute Care Hospitals,Voluntary non-profit - Church
+69346,BON SECOURS ST MARYS HOSPITAL,5801 BREMO RD,RICHMOND,VA,23226,RICHMOND CITY,(804) 285-2011,Acute Care Hospitals,Voluntary non-profit - Church
+64080,CHOCTAW GENERAL HOSPITAL,"401 VANITY FAIR LANE, PO BOX 618",BUTLER,AL,36904,CHOCTAW,(205) 459-9100,Critical Access Hospitals,Voluntary non-profit - Private
+55649,PALMETTO GENERAL HOSPITAL,2001 W 68TH ST,HIALEAH,FL,33016,MIAMI-DADE,(305) 823-5000,Acute Care Hospitals,Proprietary
+35146,OHIO COUNTY HOSPITAL,1211 OLD MAIN STREET,HARTFORD,KY,42347,OHIO,(270) 298-7411,Critical Access Hospitals,Proprietary
+17267,EASTERN NIAGARA HOSPITAL,521 EAST AVENUE,LOCKPORT,NY,14094,NIAGARA,(716) 514-5700,Acute Care Hospitals,Voluntary non-profit - Private
+36484,CLIFTON FINE HOSPITAL,1014 OSWEGATCHIE TRAIL,STAR LAKE,NY,13690,ST. LAWRENCE,(315) 848-3351,Critical Access Hospitals,Voluntary non-profit - Private
+39512,NORTHWEST FLORIDA COMMUNITY HOSPITAL,1360 BRICKYARD RD,CHIPLEY,FL,32428,WASHINGTON,(850) 638-1610,Critical Access Hospitals,Voluntary non-profit - Private
+49510,OUR CHILDRENS HOUSE,8 PRESTIGE CIRCLE 101,ALLEN,TX,75002,COLLIN,(214) 828-4747,Childrens,Voluntary non-profit - Church
+74391,MEDICAL CITY FORT WORTH,900 EIGHTH AVENUE,FORT WORTH,TX,76104,TARRANT,(817) 336-2100,Acute Care Hospitals,Proprietary
+67029,CENTRAL FLORIDA REGIONAL HOSPITAL,1401 W SEMINOLE BLVD,SANFORD,FL,32771,SEMINOLE,(407) 321-4500,Acute Care Hospitals,Proprietary
+17020,ST BARNABAS BEHAVIORAL HEALTH CENTER,1691 HIGHWAY 9  -  CN2025,TOMS RIVER,NJ,8755,OCEAN,(732) 914-1688,Psychiatric,Voluntary non-profit - Private
+65136,ADVENTIST HEALTH PORTLAND,10123 SE MARKET STREET,PORTLAND,OR,97216,MULTNOMAH,(503) 257-2500,Acute Care Hospitals,Voluntary non-profit - Church
+33735,SPRING GROVE HOSPITAL CENTER,55 WADE AVENUE,CATONSVILLE,MD,21228,BALTIMORE,(410) 402-7455,Psychiatric,Government - State
+16157,GARLAND BEHAVIORAL HOSPITAL,2300 MARIE CURIE BLVD 5TH FLOOR,GARLAND,TX,75042,DALLAS,(972) 487-5309,Psychiatric,Proprietary
+46609,GEARY COMMUNITY HOSPITAL,1102 ST MARY'S ROAD,JUNCTION CITY,KS,66441,GEARY,(785) 238-4131,Acute Care Hospitals,Government - Local
+89565,REGIONAL MEDICAL CENTER,709 W MAIN STREET,MANCHESTER,IA,52057,DELAWARE,(563) 927-3232,Critical Access Hospitals,Proprietary
+75222,HENDERSON HEALTH CARE SERVICES,1621 FRONT STREET,HENDERSON,NE,68371,YORK,(402) 723-4512,Critical Access Hospitals,Voluntary non-profit - Private
+41649,DOMINION HOSPITAL,2960 SLEEPY HOLLOW ROAD,FALLS CHURCH,VA,22044,FAIRFAX,(703) 536-2000,Psychiatric,Voluntary non-profit - Private
+57038,AUSTIN OAKS HOSPITAL,1407 WEST STASSNEY LANE,AUSTIN,TX,78745,TRAVIS,(512) 383-8939,Psychiatric,Proprietary
+91325,WEST CENTRAL GEORGIA REGIONAL HOSPITAL,3000 SCHATULGA RD BOX 12435,COLUMBUS,GA,31917,MUSCOGEE,(706) 568-5203,Psychiatric,Government - State
+84950,CARTERET GENERAL HOSPITAL,3500 ARENDELL ST,MOREHEAD CITY,NC,28557,CARTERET,(252) 808-6000,Acute Care Hospitals,Proprietary
+37577,REEVES MEMORIAL MEDICAL CENTER,409 FIRST STREET,BERNICE,LA,71222,UNION,(318) 285-9066,Critical Access Hospitals,Government - Hospital District or Authority
+15849,SUTTER AMADOR HOSPITAL,200 MISSION BLVD,JACKSON,CA,95642,AMADOR,(209) 223-7500,Acute Care Hospitals,Voluntary non-profit - Private
+89817,CAMERON REGIONAL MEDICAL CENTER,1600 E EVERGREEN,CAMERON,MO,64429,CLINTON,(816) 632-2101,Acute Care Hospitals,Voluntary non-profit - Private
+57255,ST CATHERINE HOSPITAL INC,4321 FIR ST,EAST CHICAGO,IN,46312,LAKE,(219) 392-7004,Acute Care Hospitals,Voluntary non-profit - Private
+88540,JEWISH HOME & REHAB CENTER,302  SILVER AVENUE,SAN FRANCISCO,CA,94112,SAN FRANCISCO,(415) 334-2500,Psychiatric,Voluntary non-profit - Private
+70582,MAYO CLINIC HEALTH SYSTEM-CHIPPEWA VALLEY,1501 THOMPSON ST,BLOOMER,WI,54724,CHIPPEWA,(715) 568-2000,Critical Access Hospitals,Voluntary non-profit - Private
+92757,PARKLAND MEDICAL CENTER,1 PARKLAND DRIVE,DERRY,NH,3038,ROCKINGHAM,(603) 421-2100,Acute Care Hospitals,Proprietary
+42514,UNION HOSPITAL CLINTON,801 S MAIN ST,CLINTON,IN,47842,VERMILLION,(765) 832-1234,Critical Access Hospitals,Voluntary non-profit - Private
+30030,LAGUNA HONDA HOSPITAL & REHABILITATION CENTER,375 LAGUNA HONDA BLVD,SAN FRANCISCO,CA,94116,SAN FRANCISCO,(415) 759-2300,Acute Care Hospitals,Government - Local
+49717,LEONARD J CHABERT MEDICAL CENTER,1978 INDUSTRIAL BLVD,HOUMA,LA,70363,TERREBONNE,(985) 873-2200,Acute Care Hospitals,Voluntary non-profit - Other
+51032,METHODIST FREMONT HEALTH,450 EAST 23RD ST,FREMONT,NE,68025,DODGE,(402) 721-1610,Acute Care Hospitals,Voluntary non-profit - Private
+64611,TIDELANDS HEALTH,606 BLACK RIVER RD DRAWER 1718,GEORGETOWN,SC,29440,GEORGETOWN,(843) 527-7000,Acute Care Hospitals,Voluntary non-profit - Private
+11106,BEARTOOTH BILLINGS CLINIC,2525 N BROADWAY,RED LODGE,MT,59068,CARBON,(406) 446-2345,Critical Access Hospitals,Voluntary non-profit - Private
+82097,JOHNSON COUNTY HEALTHCARE CENTER,497 WEST LOTT,BUFFALO,WY,82834,JOHNSON,(307) 684-5521,Critical Access Hospitals,Government - Hospital District or Authority
+39440,NACOGDOCHES MEDICAL CENTER,4920 NE STALLINGS DRIVE,NACOGDOCHES,TX,75961,NACOGDOCHES,(936) 569-9481,Acute Care Hospitals,Physician
+30319,ESSENTIA HEALTH DULUTH,502 EAST SECOND STREET,DULUTH,MN,55805,ST. LOUIS,(218) 786-2806,Acute Care Hospitals,Voluntary non-profit - Private
+57954,KINGMAN COMMUNITY HOSPITAL,750 W AVE D,KINGMAN,KS,67068,KINGMAN,(620) 532-3147,Critical Access Hospitals,Voluntary non-profit - Private
+23474,BUNKIE GENERAL HOSPITAL,427 EVERGREEN STREET,BUNKIE,LA,71322,AVOYELLES,(318) 346-6681,Critical Access Hospitals,Government - Hospital District or Authority
+19271,"COPPER SPRINGS HOSPITAL, LLC",10550 WEST MCDOWELL ROAD,AVONDALE,AZ,85392,MARICOPA,(480) 565-3035,Psychiatric,Proprietary
+59892,SANFORD WORTHINGTON MEDICAL CENTER,1018 SIXTH AVENUE PO BOX 997,WORTHINGTON,MN,56187,NOBLES,(507) 372-3110,Acute Care Hospitals,Voluntary non-profit - Private
+91735,BAYSTATE MEDICAL CENTER,759 CHESTNUT STREET,SPRINGFIELD,MA,1199,HAMPDEN,(413) 794-0000,Acute Care Hospitals,Voluntary non-profit - Private
+52401,RIVERVIEW HEALTH,395 WESTFIELD RD,NOBLESVILLE,IN,46060,HAMILTON,(317) 773-0760,Acute Care Hospitals,Government - Local
+88340,SUNRISE CANYON HOSPITAL,1950 ASPEN AVENUE,LUBBOCK,TX,79408,LUBBOCK,(806) 766-0268,Psychiatric,Voluntary non-profit - Other
+68995,EMERALD COAST BEHAVIORAL HOSPITAL,1940 HARRISON AVE,PANAMA CITY,FL,32405,BAY,(850) 763-0017,Psychiatric,Proprietary
+16115,GLEN OAKS HOSPITAL,301 E DIVISION BOX 1885,GREENVILLE,TX,75401,HUNT,(903) 454-6000,Psychiatric,Proprietary
+17595,MIDMICHIGAN MEDICAL CENTER-GRATIOT,300 E WARWICK DR,ALMA,MI,48801,GRATIOT,(989) 463-1101,Acute Care Hospitals,Voluntary non-profit - Private
+87625,STARR REGIONAL MEDICAL CENTER ATHENS,1114 W MADISON AVE,ATHENS,TN,37371,MC MINN,(423) 745-1411,Acute Care Hospitals,Proprietary
+52144,CLEAR VIEW BEHAVIORAL HEALTH,4770 LARIMER PKWY,JOHNSTOWN,CO,80534,WELD,(970) 800-5550,Psychiatric,Proprietary
+88769,MEMORIAL HOSPITAL OF CONVERSE COUNTY,111 SOUTH 5TH STREET,DOUGLAS,WY,82633,CONVERSE,(307) 358-2122,Critical Access Hospitals,Government - Local
+51640,LAC/RANCHO LOS AMIGOS NATIONAL REHABILITATION  CTR,7601 EAST IMPERIAL HIGHWAY,DOWNEY,CA,90242,LOS ANGELES,(562) 401-7022,Acute Care Hospitals,Government - Local
+68318,ASHE MEMORIAL HOSPITAL,200 HOSPITAL AVE,JEFFERSON,NC,28640,ASHE,(336) 246-7101,Critical Access Hospitals,Voluntary non-profit - Private
+55576,MORRISON COMMUNITY HOSPITAL,303 N JACKSON STREET,MORRISON,IL,61270,WHITESIDE,(815) 772-4003,Critical Access Hospitals,Government - Hospital District or Authority
+85250,CHILDREN'S HOSP OF LOS ANGELES,"4650 SUNSET BLVD, MS 108",LOS ANGELES,CA,90027,LOS ANGELES,(323) 669-2164,Childrens,Voluntary non-profit - Private
+30664,CHATHAM HOSPITAL INC,475 PROGRESS BLVD,SILER CITY,NC,27344,CHATHAM,(919) 799-4000,Critical Access Hospitals,Voluntary non-profit - Private
+76470,GARDEN PARK MEDICAL CENTER,15200 COMMUNITY ROAD,GULFPORT,MS,39503,HARRISON,(228) 575-7000,Acute Care Hospitals,Proprietary
+32528,MINIMALLY INVASIVE SURGERY HOSPITAL,11217 LAKEVIEW AVENUE,LENEXA,KS,66219,JOHNSON,(913) 322-7401,Acute Care Hospitals,Proprietary
+45659,MULTICARE DEACONESS HOSPITAL,W 800 FIFTH AVENUE,SPOKANE,WA,99210,SPOKANE,(509) 473-5800,Acute Care Hospitals,Voluntary non-profit - Private
+76246,BAYLOR MEDICAL CENTER AT IRVING,1901 N MACARTHUR BLVD,IRVING,TX,75061,DALLAS,(972) 579-8100,Acute Care Hospitals,Voluntary non-profit - Private
+89905,SOUTHERN VIRGINIA REGIONAL MEDICAL CENTER,727 NORTH MAIN STREET,EMPORIA,VA,23847,EMPORIA CITY,(434) 348-4400,Acute Care Hospitals,Proprietary
+23205,FRANKFORT REGIONAL MEDICAL CENTER,299 KINGS DAUGHTERS DRIVE,FRANKFORT,KY,40601,FRANKLIN,(502) 875-5240,Acute Care Hospitals,Proprietary
+32053,GUNNISON VALLEY HOSPITAL,711 NORTH TAYLOR STREET,GUNNISON,CO,81230,GUNNISON,(970) 641-1456,Critical Access Hospitals,Government - Local
+51388,TELECARE HERITAGE PSYCHIATRIC HEALTH FACILITY,"2633 E 27TH STREET, BUILDING B",OAKLAND,CA,94601,ALAMEDA,(510) 535-5115,Psychiatric,Proprietary
+46042,GRAND ITASCA CLINIC AND HOSPITAL,1601 GOLF COURSE ROAD,GRAND RAPIDS,MN,55744,ITASCA,(218) 326-3401,Acute Care Hospitals,Voluntary non-profit - Private
+33908,CHILDREN'S HOME OF PITTSBURGH,5324 PENN AVENUE,PITTSBURGH,PA,15224,ALLEGHENY,(412) 441-4884,Childrens,Voluntary non-profit - Private
+56530,ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL SOMERSET,110 REHILL AVE,SOMERVILLE,NJ,8876,SOMERSET,(908) 685-2200,Acute Care Hospitals,Voluntary non-profit - Private
+24954,UHHS MEMORIAL HOSPITAL OF GENEVA,870 WEST MAIN STREET,GENEVA,OH,44041,ASHTABULA,(440) 466-1141,Critical Access Hospitals,Voluntary non-profit - Private
+55934,UNIVERSITY OF VIRGINIA MEDICAL CENTER,1215 LEE STREET,CHARLOTTESVILLE,VA,22908,CHARLOTTESVILLE CITY,(800) 251-3627,Acute Care Hospitals,Government - State
+77380,CREEDMOOR PSYCHIATRIC CENTER,80-45 WINCHESTER BLVD BLDG B,QUEENS VILLAGE,NY,11427,QUEENS,(718) 264-4000,Psychiatric,Government - State
+22449,WESTERN MARYLAND REGIONAL MEDICAL CENTER,12500 WILLOWBROOK ROAD,CUMBERLAND,MD,21502,ALLEGANY,(240) 964-8001,Acute Care Hospitals,Voluntary non-profit - Private
+52250,MARIAS MEDICAL CENTER,640 PARK AVE,SHELBY,MT,59474,TOOLE,(406) 434-3200,Critical Access Hospitals,Government - Local
+60222,MCLAREN LAPEER REGION,1375 N MAIN ST,LAPEER,MI,48446,LAPEER,(810) 667-5500,Acute Care Hospitals,Voluntary non-profit - Private
+48722,GRAND STRAND REGIONAL MEDICAL CENTER,809 82ND PARKWAY,MYRTLE BEACH,SC,29572,HORRY,(843) 692-1000,Acute Care Hospitals,Proprietary
+43298,GOOD SAMARITAN HOSPITAL,1225 WILSHIRE BOULEVARD,LOS ANGELES,CA,90017,LOS ANGELES,(213) 977-2121,Acute Care Hospitals,Proprietary
+66247,EMORY DECATUR HOSPITAL,2701 N DECATUR ROAD,DECATUR,GA,30033,DE KALB,(404) 501-1000,Acute Care Hospitals,Voluntary non-profit - Private
+37920,MARY HITCHCOCK MEMORIAL HOSPITAL,1 MEDICAL CENTER DRIVE,LEBANON,NH,3756,GRAFTON,(603) 650-5000,Acute Care Hospitals,Voluntary non-profit - Private
+21131,ELMHURST HOSPITAL CENTER,79-01 BROADWAY,ELMHURST,NY,11373,QUEENS,(718) 334-1141,Acute Care Hospitals,Government - Local
+27454,UMD REHABILITATION &  ORTHOPAEDIC INSTITUTE,2200 KERNAN DRIVE,BALTIMORE,MD,21207,BALTIMORE,(410) 448-6701,Acute Care Hospitals,Voluntary non-profit - Private
+93703,PALI MOMI MEDICAL CENTER,98-1079 MOANALUA ROAD,AIEA,HI,96701,HONOLULU,(808) 486-6000,Acute Care Hospitals,Proprietary
+80350,"PAVILION FOUNDATION, THE",809 W CHURCH ST,CHAMPAIGN,IL,61820,CHAMPAIGN,(217) 373-1700,Psychiatric,Proprietary
+43753,HIAWATHA COMMUNITY HOSPITAL,300 UTAH STREET,HIAWATHA,KS,66434,BROWN,(785) 742-2131,Critical Access Hospitals,Voluntary non-profit - Private
+38091,"BEACON BEHAVIORAL HOSPITAL, INC",2471 LOUISIANA AVE,LUTCHER,LA,70071,ST. JAMES,(225) 258-6103,Psychiatric,Proprietary
+48323,CHAMBERS MEMORIAL HOSPITAL,719 DETROIT STREET,DANVILLE,AR,72833,YELL,(479) 495-2241,Acute Care Hospitals,Voluntary non-profit - Private
+91133,SERENITY SPRINGS SPECIALTY HOSPITAL,1495 FRAZIER ROAD,RUSTON,LA,71270,LINCOLN,(318) 202-3860,Psychiatric,Proprietary
+92451,BERWICK HOSPITAL CENTER,701 EAST 16TH STREET,BERWICK,PA,18603,COLUMBIA,(570) 759-5020,Acute Care Hospitals,Proprietary
+66530,KETTERING MEDICAL CENTER,3535 SOUTHERN BOULEVARD,KETTERING,OH,45429,MONTGOMERY,(937) 395-8165,Acute Care Hospitals,Voluntary non-profit - Church
+89209,METHODIST STONE OAK HOSPITAL,"1139 E SONTERRA BLVD, STE 535",SAN ANTONIO,TX,78258,BEXAR,(210) 638-2100,Acute Care Hospitals,Proprietary
+44835,HILL REGIONAL HOSPITAL,101 CIRCLE DRIVE,HILLSBORO,TX,76645,HILL,(254) 580-8500,Acute Care Hospitals,Voluntary non-profit - Private
+14466,SAN LEANDRO HOSPITAL,13855 E 14TH STREET,SAN LEANDRO,CA,94578,ALAMEDA,(510) 357-6500,Acute Care Hospitals,Government - Hospital District or Authority
+81745,NORTON COMMUNITY HOSPITAL,100  15TH NW STREET,NORTON,VA,24273,NORTON CITY,(276) 439-1000,Acute Care Hospitals,Voluntary non-profit - Private
+38650,FRANCISCAN HEALTH MICHIGAN CITY,3500 FRANCISCAN WAY,MICHIGAN CITY,IN,46360,LA PORTE,(219) 879-8511,Acute Care Hospitals,Voluntary non-profit - Church
+10381,CAREPOINT HEALTH-HOBOKEN UNIVERSITY MEDICAL CENTER,308 WILLOW AVE,HOBOKEN,NJ,7030,HUDSON,(201) 418-1000,Acute Care Hospitals,Voluntary non-profit - Church
+64847,MAYO CLINIC HEALTH SYSTEM - FAIRMONT,"800 MEDICAL CENTER DRIVE, PO BOX 800",FAIRMONT,MN,56031,MARTIN,(507) 238-8101,Acute Care Hospitals,Voluntary non-profit - Private
+92704,JOHN MUIR MEDICAL CENTER - CONCORD CAMPUS,2540 EAST ST,CONCORD,CA,94520,CONTRA COSTA,(925) 682-8200,Acute Care Hospitals,Voluntary non-profit - Private
+65594,HILLCREST HOSPITAL CLAREMORE,1202 N MUSKOGEE PLACE,CLAREMORE,OK,74017,ROGERS,(918) 341-2556,Acute Care Hospitals,Proprietary
+81276,PIONEERS MEMORIAL HEALTHCARE DISTRICT,207 WEST LEGION ROAD,BRAWLEY,CA,92227,IMPERIAL,(760) 351-3333,Acute Care Hospitals,Government - Hospital District or Authority
+87940,NEWBERRY COUNTY MEMORIAL HOSPITAL,2669 KINARD ST PO BOX 497,NEWBERRY,SC,29108,NEWBERRY,(803) 405-7145,Acute Care Hospitals,Voluntary non-profit - Other
+32213,WELLSTAR KENNESTONE HOSPITAL,677 CHURCH STREET,MARIETTA,GA,30060,COBB,(770) 793-5000,Acute Care Hospitals,Government - Hospital District or Authority
+91153,DAMERON HOSPITAL,525 WEST ACACIA STREET,STOCKTON,CA,95203,SAN JOAQUIN,(209) 944-5550,Acute Care Hospitals,Voluntary non-profit - Other
+50663,CATSKILL REGIONAL MEDICAL CENTER - G HERMANN SITE,8081 ROUTE 97,CALLICOON,NY,12723,SULLIVAN,(845) 887-5530,Critical Access Hospitals,Government - Federal
+12065,"PAGE MEMORIAL HOSPITAL, INC",200 MEMORIAL DRIVE,LURAY,VA,22835,PAGE,(540) 743-4561,Critical Access Hospitals,Voluntary non-profit - Private
+59900,Evans ACH (FT Carson),Fort Carson MEDDAC 1650 Cochrane Circle Fort Carson,Fort Carson,CO,80913,EL PASO,(719) 526-7000,Acute Care - Department of Defense,Department of Defense
+64546,BAXTER REGIONAL MEDICAL CENTER,624 HOSPITAL DRIVE,MOUNTAIN HOME,AR,72653,BAXTER,(870) 508-1000,Acute Care Hospitals,Voluntary non-profit - Private
+85681,MONROE COUNTY MEDICAL CENTER,529 CAPP HARLAN ROAD,TOMPKINSVILLE,KY,42167,MONROE,(270) 487-9231,Acute Care Hospitals,Voluntary non-profit - Other
+10890,DESERT VIEW HOSPITAL,360 SOUTH LOLA LANE,PAHRUMP,NV,89048,NYE,(775) 751-7500,Critical Access Hospitals,Proprietary
+78344,ST FRANCIS MEDICAL CENTER,601 HAMILTON AVE,TRENTON,NJ,8629,MERCER,(609) 599-5000,Acute Care Hospitals,Voluntary non-profit - Church
+46709,ALLIANCE COMMUNITY HOSPITAL,200 EAST STATE STREET,ALLIANCE,OH,44601,STARK,(330) 596-7018,Acute Care Hospitals,Voluntary non-profit - Other
+51630,BAYFRONT HEALTH PORT CHARLOTTE,2500 HARBOR BLVD,PORT CHARLOTTE,FL,33952,CHARLOTTE,(941) 766-4122,Acute Care Hospitals,Proprietary
+52595,SIERRA MEDICAL CENTER,1625 MEDICAL CENTER DR,EL PASO,TX,79902,EL PASO,(915) 747-4000,Acute Care Hospitals,Proprietary
+18732,UMD CHARLES REGIONAL  MEDICAL CENTER,5 GARRETT AVENUE,LA PLATA,MD,20646,CHARLES,(301) 609-4265,Acute Care Hospitals,Voluntary non-profit - Private
+18990,FAIRBANKS MEMORIAL HOSPITAL,1650 COWLES STREET,FAIRBANKS,AK,99701,FAIRBANKS NORTH STAR,(907) 452-8181,Acute Care Hospitals,Voluntary non-profit - Private
+91079,VANDERBILT UNIVERSITY MEDICAL CENTER,1211 MEDICAL CENTER DRIVE,NASHVILLE,TN,37232,DAVIDSON,(615) 322-3454,Acute Care Hospitals,Voluntary non-profit - Private
+76868,GREENE COUNTY HOSPITAL CAH,1017 JACKSON STREET,LEAKESVILLE,MS,39451,GREENE,(601) 394-4135,Critical Access Hospitals,Government - Local
+26157,JENNERSVILLE HOSPITAL,1015 WEST BALTIMORE PIKE,WEST GROVE,PA,19390,CHESTER,(610) 869-1000,Acute Care Hospitals,Voluntary non-profit - Other
+16415,MARINERS HOSPITAL,91500 OVERSEAS HIGHWAY,TAVERNIER,FL,33070,MONROE,(305) 434-3000,Critical Access Hospitals,Voluntary non-profit - Private
+40329,HOPEDALE HOSPITAL,107 TREMONT STREET,HOPEDALE,IL,61747,TAZEWELL,(309) 449-4296,Critical Access Hospitals,Voluntary non-profit - Private
+92281,JEWISH HOSPITAL - SHELBYVILLE,727 HOSPITAL DRIVE,SHELBYVILLE,KY,40065,SHELBY,(502) 647-4300,Acute Care Hospitals,Voluntary non-profit - Private
+65248,DAYTON CHILDREN'S HOSPITAL,ONE CHILDRENS PLAZA,DAYTON,OH,45404,MONTGOMERY,(937) 641-3450,Childrens,Voluntary non-profit - Private
+92377,NORTH TEXAS STATE HOSPITAL,6515 KEMP BLVD,WICHITA FALLS,TX,76308,WICHITA,(940) 692-1220,Psychiatric,Government - State
+71562,GULF BREEZE HOSPITAL,1110 GULF BREEZE PKWY,GULF BREEZE,FL,32561,SANTA ROSA,(850) 934-2000,Acute Care Hospitals,Voluntary non-profit - Other
+51586,I-70 COMMUNITY HOSPITAL,"105 HOSPITAL DRIVE, BUILDING B",SWEET SPRINGS,MO,65351,SALINE,(660) 335-4700,Critical Access Hospitals,Proprietary
diff --git a/data/hospital_reimbursement.csv b/data/hospital_reimbursement.csv
new file mode 100644
index 0000000..349a40d
--- /dev/null
+++ b/data/hospital_reimbursement.csv
@@ -0,0 +1,2698 @@
+Provider_Num,Provider Name,Provider Street Address,Provider City,Provider State,Provider Zip Code,Total Discharges,Average Covered Charges,Average Total Payments,Average Medicare Payments
+839987,SOUTHEAST ALABAMA MEDICAL CENTER,1108 ROSS CLARK CIRCLE,DOTHAN,AL,36301,118,20855.61,5026.19,4115.52
+519118,MARSHALL MEDICAL CENTER SOUTH,2505 U S HIGHWAY 431 NORTH,BOAZ,AL,35957,43,13289.09,5413.63,4490.93
+733073,ELIZA COFFEE MEMORIAL HOSPITAL,205 MARENGO STREET,FLORENCE,AL,35631,73,22261.6,4922.18,4021.79
+201752,MIZELL MEMORIAL HOSPITAL,702 N MAIN ST,OPP,AL,36467,12,10901.33,5343.5,4284.17
+678488,ST VINCENT'S EAST,50 MEDICAL PARK EAST DRIVE,BIRMINGHAM,AL,35235,74,28117.95,5947.12,4819.53
+785513,DEKALB REGIONAL MEDICAL CENTER,200 MED CENTER DRIVE,FORT PAYNE,AL,35968,19,28633.79,5378.53,4635.79
+890851,SHELBY BAPTIST MEDICAL CENTER,1000 FIRST STREET NORTH,ALABASTER,AL,35007,95,33169.57,5596.78,4535.48
+227327,HELEN KELLER MEMORIAL HOSPITAL,1300 SOUTH MONTGOMERY AVENUE,SHEFFIELD,AL,35660,92,19698.71,5063.65,4224.2
+881894,DALE MEDICAL CENTER,126 HOSPITAL AVE,OZARK,AL,36360,15,10025.87,5704.73,4592.2
+716815,BAPTIST MEDICAL CENTER SOUTH,2105 EAST SOUTH BOULEVARD,MONTGOMERY,AL,36116,168,20290.68,6362.93,5509.19
+187651,JACKSON HOSPITAL & CLINIC INC,1725 PINE STREET,MONTGOMERY,AL,36106,119,25884.71,5625.53,4471.02
+895716,EAST ALABAMA MEDICAL CENTER,2000 PEPPERELL PARKWAY,OPELIKA,AL,36801,164,12412.13,5615.55,4663.62
+466874,UNIVERSITY OF ALABAMA HOSPITAL,619 SOUTH 19TH STREET,BIRMINGHAM,AL,35233,152,24991.62,8206.31,6073.59
+145182,COMMUNITY HOSPITAL INC,805 FRIENDSHIP ROAD,TALLASSEE,AL,36078,26,8054.27,5881.0,4841.77
+635249,CULLMAN REGIONAL MEDICAL CENTER,1912 ALABAMA HIGHWAY 157,CULLMAN,AL,35058,107,19352.06,6430.42,5508.78
+375350,ANDALUSIA REGIONAL HOSPITAL,849 SOUTH THREE NOTCH STREET,ANDALUSIA,AL,36420,26,22713.27,5044.85,4308.23
+693188,STRINGFELLOW MEMORIAL HOSPITAL,301 EAST 18TH ST,ANNISTON,AL,36201,26,31828.92,4787.5,4194.12
+371136,HUNTSVILLE HOSPITAL,101 SIVLEY RD,HUNTSVILLE,AL,35801,351,29798.56,6077.69,5006.89
+642438,GADSDEN REGIONAL MEDICAL CENTER,1007 GOODYEAR AVENUE,GADSDEN,AL,35903,74,73567.61,5797.74,4649.34
+587468,MARION REGIONAL MEDICAL CENTER,1256 MILITARY STREET SOUTH,HAMILTON,AL,35570,11,13623.64,5847.0,4920.45
+538749,FAYETTE MEDICAL CENTER,1653 TEMPLE AVENUE NORTH,FAYETTE,AL,35555,15,15050.27,6110.33,5346.87
+794509,RIVERVIEW REGIONAL MEDICAL CENTER,600 SOUTH THIRD STREET,GADSDEN,AL,35901,40,36013.58,4870.98,4135.98
+324689,MEDICAL CENTER ENTERPRISE,400 N EDWARDS STREET,ENTERPRISE,AL,36330,35,32985.54,5218.6,4413.8
+469990,FLOWERS HOSPITAL,4370 WEST MAIN STREET,DOTHAN,AL,36305,93,35744.69,4853.49,4033.13
+614886,ST VINCENT'S BIRMINGHAM,810 ST VINCENT'S DRIVE,BIRMINGHAM,AL,35205,58,26381.84,4951.19,3847.91
+849075,HIGHLANDS MEDICAL CENTER,380 WOODS COVE ROAD,SCOTTSBORO,AL,35768,28,11718.57,5582.68,4534.68
+444439,WIREGRASS MEDICAL CENTER,1200 W MAPLE AVENUE,GENEVA,AL,36340,18,15493.72,5597.67,4886.78
+776529,RUSSELL HOSPITAL,3316 HIGHWAY 280,ALEXANDER CITY,AL,35010,44,11198.84,5313.18,4442.64
+371331,MEDICAL CENTER BARBOUR,820 W WASHINGTON ST,EUFAULA,AL,36027,16,11014.31,6173.31,5294.81
+683090,CLAY COUNTY HOSPITAL,83825 HIGHWAY 9    P O BOX 1270,ASHLAND,AL,36251,19,8298.37,5895.37,5017.05
+540599,NORTHEAST ALABAMA REGIONAL MEDICAL CENTER,400 EAST 10TH STREET,ANNISTON,AL,36207,104,34679.0,5243.08,4372.89
+397838,ATHENS LIMESTONE HOSPITAL,700 WEST MARKET STREET,ATHENS,AL,35611,39,11342.85,5511.38,4374.74
+470480,SOUTH BALDWIN REGIONAL MEDICAL CENTER,1613 NORTH MCKENZIE STREET,FOLEY,AL,36535,92,56437.05,5179.17,4369.5
+620111,DECATUR MORGAN HOSPITAL-DECATUR CAMPUS,1201 7TH STREET SE,DECATUR,AL,35601,114,12672.18,5603.89,4333.13
+273713,NORTHWEST MEDICAL CENTER,1530 U S HIGHWAY 43,WINFIELD,AL,35594,24,23971.79,4948.33,4255.33
+829951,UNIVERSITY OF SOUTH ALABAMA MEDICAL CENTER,2451 FILLINGIM STREET,MOBILE,AL,36617,13,8031.0,9496.23,8906.08
+630993,WALKER BAPTIST MEDICAL CENTER,3400 HIGHWAY 78 EAST,JASPER,AL,35502,47,26200.81,5672.62,4763.94
+443159,PROVIDENCE HOSPITAL,6801 AIRPORT BOULEVARD,MOBILE,AL,36608,93,19063.57,5150.3,4270.56
+754768,GROVE HILL MEMORIAL HOSPITAL,295 JACKSON HWY S,GROVE HILL,AL,36451,16,10429.25,5187.81,4473.81
+891442,D C H REGIONAL MEDICAL CENTER,809 UNIVERSITY BOULEVARD EAST,TUSCALOOSA,AL,35401,217,20217.1,6020.35,4879.73
+140742,D W MCMILLAN MEMORIAL HOSPITAL,1301 BELLEVILLE AVENUE,BREWTON,AL,36426,27,9942.44,5913.85,4960.81
+723467,THOMAS HOSPITAL,750 MORPHY AVENUE,FAIRHOPE,AL,36532,56,17194.11,4746.64,3898.84
+812357,CITIZENS BAPTIST MEDICAL CENTER,604 STONE AVENUE,TALLADEGA,AL,35161,16,21747.44,6187.44,5305.44
+152343,PRINCETON BAPTIST MEDICAL CENTER,701 PRINCETON AVENUE SOUTHWEST,BIRMINGHAM,AL,35211,91,33542.74,6348.76,5179.19
+775141,GRANDVIEW MEDICAL CENTER,3690 GRANDVIEW PARKWAY,BIRMINGHAM,AL,35243,95,53722.33,6273.68,5211.13
+682416,PRATTVILLE BAPTIST HOSPITAL,124 S MEMORIAL DR,PRATTVILLE,AL,36067,68,16673.22,4883.6,3918.63
+151114,BRYAN W. WHITFIELD MEMORIAL HOSPITAL,105 HIGHWAY 80 EAST,DEMOPOLIS,AL,36732,18,7986.89,5790.11,5106.22
+404277,MOBILE INFIRMARY MEDICAL CENTER,5 MOBILE INFIRMARY CIRCLE,MOBILE,AL,36652,165,20724.75,5598.01,4576.59
+110156,"MEDICAL WEST, AN AFFILIATE OF UAB HEALTH SYSTEM",995 9TH AVENUE SOUTHWEST,BESSEMER,AL,35021,39,34608.77,5730.03,4638.79
+773085,VAUGHAN REGIONAL MEDICAL CENTER PARKWAY CAMPUS,1015 MEDICAL CENTER PARKWAY,SELMA,AL,36701,74,29643.19,6338.05,5435.78
+362583,MONROE COUNTY HOSPITAL,"2016 SOUTH ALABAMA AVENUE, BOX 886",MONROEVILLE,AL,36460,28,12873.32,5862.43,4951.43
+464112,LAKELAND COMMUNITY HOSPITAL,42024 HIGHWAY 195 E,HALEYVILLE,AL,35565,13,22856.77,5675.46,4990.54
+165788,TROY REGIONAL MEDICAL CENTER,1330 HIGHWAY 231 SOUTH,TROY,AL,36081,24,23930.42,5415.92,4517.0
+423962,NORTH BALDWIN INFIRMARY,1815 HAND AVENUE,BAY MINETTE,AL,36507,15,11169.47,6912.27,5485.87
+517567,ST VINCENT'S ST CLAIR,7063 VETERANS PARKWAY,PELL CITY,AL,35125,19,19638.58,5293.53,4555.21
+394100,CRESTWOOD MEDICAL CENTER,ONE HOSPITAL DR SE,HUNTSVILLE,AL,35801,62,51828.27,5085.23,4213.84
+323825,BROOKWOOD MEDICAL CENTER,2010 BROOKWOOD MEDICAL CENTER DRIVE,BIRMINGHAM,AL,35209,73,66230.7,5533.32,4394.32
+700618,SPRINGHILL MEMORIAL HOSPITAL,3719 DAUPHIN STREET,MOBILE,AL,36608,122,15820.19,5437.12,4004.07
+868421,EVERGREEN MEDICAL CENTER,101 CRESTVIEW AVENUE,EVERGREEN,AL,36401,20,8500.95,5208.8,4113.4
+289643,BAPTIST MEDICAL CENTER EAST,400 TAYLOR ROAD,MONTGOMERY,AL,36117,61,18699.33,6413.21,5353.07
+133210,L V STABLER MEMORIAL HOSPITAL,29 L V STABLER DRIVE,GREENVILLE,AL,36037,26,46761.54,5883.46,5047.77
+384782,COOSA VALLEY MEDICAL CENTER,315 W HICKORY ST,SYLACAUGA,AL,35150,20,30421.45,5641.3,4453.8
+427113,ATMORE COMMUNITY HOSPITAL,401 MEDICAL PARK DRIVE,ATMORE,AL,36502,33,14936.18,5508.21,4617.3
+719138,PROVIDENCE ALASKA MEDICAL CENTER,3200 PROVIDENCE DRIVE,ANCHORAGE,AK,99508,74,49630.82,9366.36,8178.32
+688303,MAT-SU REGIONAL MEDICAL CENTER,2500 SOUTH WOODWORTH LOOP,PALMER,AK,99645,14,46080.0,10295.71,9471.71
+824535,FAIRBANKS MEMORIAL HOSPITAL,1650 COWLES STREET,FAIRBANKS,AK,99701,25,37056.32,15119.48,12855.64
+775879,ALASKA REGIONAL HOSPITAL,2801 DEBARR ROAD,ANCHORAGE,AK,99508,20,39475.3,7546.15,6273.4
+404849,YUKON KUSKOKWIM DELTA REG HOSPITAL,PO BOX 287,BETHEL,AK,99559,14,12188.86,15866.14,14678.14
+282895,CENTRAL PENINSULA GENERAL HOSPITAL,250 HOSPITAL PLACE,SOLDOTNA,AK,99669,30,39180.97,14343.13,13619.8
+410928,ALASKA NATIVE MEDICAL CENTER,4315 DIPLOMACY DR,ANCHORAGE,AK,99508,25,40950.84,12169.56,11215.6
+814010,BANNER - UNIVERSITY MEDICAL CENTER PHOENIX,1111 EAST MCDOWELL ROAD,PHOENIX,AZ,85006,35,42288.54,8167.23,7361.63
+278760,TUCSON MEDICAL CENTER,5301 EAST GRANT ROAD,TUCSON,AZ,85712,91,23076.01,7458.08,6615.63
+669640,VERDE VALLEY MEDICAL CENTER,269 SOUTH CANDY LANE,COTTONWOOD,AZ,86326,15,42895.07,9120.4,8158.53
+200630,ST. MARY'S HOSPITAL,1601 WEST ST MARY'S ROAD,TUCSON,AZ,85745,33,25319.12,6122.48,5265.82
+883585,ST JOSEPH'S HOSPITAL,350 NORTH WILMOT ROAD,TUCSON,AZ,85711,41,29149.32,5856.29,4980.1
+864924,YAVAPAI REGIONAL MEDICAL CENTER,1003 WILLOW CREEK ROAD,PRESCOTT,AZ,86301,44,23271.57,6059.39,4813.66
+366587,YUMA REGIONAL MEDICAL CENTER,2400 SOUTH AVENUE A,YUMA,AZ,85364,76,20011.66,6957.63,6068.84
+707613,JOHN C. LINCOLN MEDICAL CENTER,250 EAST DUNLAP AVENUE,PHOENIX,AZ,85020,46,36722.13,6361.13,5441.17
+422341,FLAGSTAFF MEDICAL CENTER,1200 NORTH BEAVER STREET,FLAGSTAFF,AZ,86001,20,29146.85,10488.4,9529.4
+716341,ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER,350 WEST THOMAS ROAD,PHOENIX,AZ,85013,47,30230.94,9809.53,8247.38
+553809,BANNER PAYSON MEDICAL CENTER,807 SOUTH PONDEROSA DRIVE,PAYSON,AZ,85541,15,30606.6,6373.93,5692.6
+419895,CHANDLER REGIONAL MEDICAL CENTER,1955 WEST FRYE ROAD,CHANDLER,AZ,85224,46,40526.48,6746.43,5674.2
+783146,ST LUKE'S MEDICAL CENTER,1800 EAST VAN BUREN STREET,PHOENIX,AZ,85006,16,29948.44,7400.88,6599.38
+556917,SCOTTSDALE OSBORN MEDICAL CENTER,7400 EAST OSBORN ROAD,SCOTTSDALE,AZ,85251,62,39572.15,6551.47,5451.89
+870365,CANYON VISTA MEDICAL CENTER,5700 EAST HIGHWAY 90,SIERRA VISTA,AZ,85635,38,19034.11,8149.45,7023.82
+883086,KINGMAN REGIONAL MEDICAL CENTER,3269 STOCKTON HILL ROAD,KINGMAN,AZ,86409,37,30894.76,7008.59,6225.76
+545260,BANNER BOSWELL MEDICAL CENTER,10401 WEST THUNDERBIRD BOULEVARD,SUN CITY,AZ,85351,63,33437.79,5741.27,4969.94
+260374,SUMMIT HEALTHCARE REGIONAL MEDICAL CENTER,2200 EAST SHOW LOW LAKE ROAD,SHOW LOW,AZ,85901,14,32633.71,9620.57,7071.57
+129803,BANNER-UNIVERSITY MEDICAL CENTER TUCSON CAMPUS,1501 NORTH CAMPBELL AVENUE,TUCSON,AZ,85724,48,38593.02,9841.54,8620.02
+101905,BANNER DESERT MEDICAL CENTER,1400 SOUTH  DOBSON ROAD,MESA,AZ,85202,55,32450.0,8198.29,6600.51
+709487,HAVASU REGIONAL MEDICAL CENTER,101 CIVIC CENTER LANE,LAKE HAVASU CITY,AZ,86403,41,30708.88,6487.37,5428.83
+790558,ABRAZO SCOTTSDALE CAMPUS,3929 EAST BELL ROAD,PHOENIX,AZ,85032,17,25371.12,7143.41,5575.18
+610170,CHINLE COMPREHENSIVE HEALTH CARE FACILITY,"US HWY 191, HOSPITAL ROAD",CHINLE,AZ,86503,11,6218.55,11296.73,10484.73
+460859,NORTHWEST MEDICAL CENTER,6200 NORTH LA CHOLLA BOULEVARD,TUCSON,AZ,85741,56,37896.14,6211.18,5478.68
+799407,SCOTTSDALE SHEA MEDICAL CENTER,9003 EAST SHEA BOULEVARD,SCOTTSDALE,AZ,85260,106,39209.04,5681.6,4662.76
+148306,BANNER BAYWOOD MEDICAL CENTER,6644 EAST BAYWOOD AVENUE,MESA,AZ,85206,45,36626.67,5840.02,4822.33
+717004,BANNER THUNDERBIRD MEDICAL CENTER,5555 WEST THUNDERBIRD ROAD,GLENDALE,AZ,85306,38,32844.92,7466.34,6492.97
+575923,HONORHEALTH DEER VALLEY MEDICAL CENTER,19829 NORTH 27TH AVENUE,PHOENIX,AZ,85027,25,33734.52,6280.24,5510.8
+356720,BANNER DEL E. WEBB MEDICAL CENTER,14502 WEST MEEKER BOULEVARD,SUN CITY WEST,AZ,85375,44,34097.77,6181.41,5036.18
+243958,ABRAZO ARROWHEAD CAMPUS,18701 NORTH 67TH AVENUE,GLENDALE,AZ,85308,56,24886.36,7356.14,6579.14
+441346,WESTERN ARIZONA REGIONAL MEDICAL CENTER,2735 SILVER CREEK ROAD,BULLHEAD CITY,AZ,86442,54,84422.89,6451.57,5621.43
+395546,MAYO CLINIC HOSPITAL,5777 EAST MAYO BOULEVARD,PHOENIX,AZ,85054,125,22285.14,8735.9,5350.34
+140886,BANNER HEART HOSPITAL,6750 EAST BAYWOOD AVENUE,MESA,AZ,85206,64,30330.59,5811.16,4799.34
+485808,ABRAZO WEST CAMPUS,13677 WEST MCDOWELL ROAD,GOODYEAR,AZ,85395,27,28456.93,6711.89,5810.7
+854637,ORO VALLEY HOSPITAL,1551 EAST TANGERINE ROAD,ORO VALLEY,AZ,85755,59,34756.98,5263.37,4347.8
+358735,BANNER ESTRELLA MEDICAL CENTER,9201 WEST THOMAS ROAD,PHOENIX,AZ,85037,27,42345.93,8840.89,6066.3
+386502,VALLEY VIEW MEDICAL CENTER,5330 SOUTH HIGHWAY 95,FORT MOHAVE,AZ,86426,34,50259.21,5878.18,5088.41
+714525,YAVAPAI REGIONAL MEDICAL CENTER-EAST CAMPUS,7700 EAST FLORENTINE ROAD,PRESCOTT VALLEY,AZ,86314,20,16489.25,7245.0,5459.4
+271499,MERCY GILBERT MEDICAL CENTER,3555 SOUTH VAL VISTA DRIVE,GILBERT,AZ,85296,44,40120.84,6697.61,5738.61
+487670,"MOUNTAIN VISTA MEDICAL CENTER, LP",1301 SOUTH CRISMON ROAD,MESA,AZ,85209,25,31233.4,6920.4,6184.08
+674182,BANNER GATEWAY MEDICAL CENTER,1900 NORTH HIGLEY ROAD,GILBERT,AZ,85234,19,30043.32,7173.63,5504.37
+725706,SCOTTSDALE THOMPSON PEAK MEDICAL CENTER,7400 EAST THOMPSON PEAK PARKWAY,SCOTTSDALE,AZ,85255,39,38009.69,5579.72,4627.72
+806128,GREEN VALLEY HOSPITAL,4455 SOUTH I-19 FRONTAGE ROAD,GREEN VALLEY,AZ,85614,22,13496.09,4933.45,4001.82
+570644,JOHNSON REGIONAL MEDICAL CENTER,1100 EAST POPLAR STREET,CLARKSVILLE,AR,72830,25,8859.32,6102.48,5284.88
+583566,WASHINGTON REGIONAL MEDICAL CENTER,3215 N NORTH HILLS BOULEVARD,FAYETTEVILLE,AR,72703,121,25368.43,5764.1,4793.83
+778622,CHI-ST VINCENT INFIRMARY,TWO ST VINCENT CIRCLE,LITTLE ROCK,AR,72205,139,18261.42,5764.46,4953.96
+719924,MERCY HOSPITAL NORTHWEST ARKANSAS,2710 SOUTH RIFE MEDICAL LANE,ROGERS,AR,72758,53,20389.49,5380.81,4607.91
+583613,CHAMBERS MEMORIAL HOSPITAL,719 DETROIT STREET,DANVILLE,AR,72833,49,5804.88,5266.96,4676.08
+755612,WHITE COUNTY MEDICAL CENTER,3214 EAST RACE AVENUE,SEARCY,AR,72143,77,15386.29,5610.51,4679.81
+191528,MENA REGIONAL HEALTH SYSTEM,311 NORTH MORROW STREET,MENA,AR,71953,17,11396.76,6314.88,5484.76
+454946,UAMS MEDICAL CENTER,4301 WEST MARKHAM STREET MAIL SLOT 612,LITTLE ROCK,AR,72205,64,16971.47,9373.45,6959.25
+306081,NORTH ARKANSAS REGIONAL MEDICAL CENTER,620 NORTH MAIN STREET,HARRISON,AR,72601,15,12287.33,5589.27,4734.33
+886519,FORREST CITY MEDICAL CENTER,1601 NEWCASTLE ROAD,FORREST CITY,AR,72335,11,22918.27,7035.91,5367.18
+753434,ST BERNARDS MEDICAL CENTER,225 E JACKSON,JONESBORO,AR,72401,87,9143.24,5686.16,4892.09
+561795,NORTHWEST MEDICAL CENTER-SPRINGDALE,609 WEST MAPLE AVENUE,SPRINGDALE,AR,72764,61,41950.3,6102.85,5266.43
+178743,CHI ST. VINCENT HOSPITAL HOT SPRINGS,300 WERNER STREET,HOT SPRINGS,AR,71903,105,21965.03,5420.64,4595.09
+320446,BAXTER REGIONAL MEDICAL CENTER,624 HOSPITAL DRIVE,MOUNTAIN HOME,AR,72653,60,9888.45,5118.18,4200.72
+145995,CONWAY REGIONAL MEDICAL CENTER,2302 COLLEGE AVENUE,CONWAY,AR,72034,33,13731.03,5473.15,4622.97
+771977,BAPTIST HEALTH MEDICAL CENTER NORTH LITTLE ROCK,3333 SPRINGHILL DRIVE,NORTH LITTLE ROCK,AR,72117,86,20761.21,5209.6,4177.41
+635878,ARKANSAS METHODIST MEDICAL CENTER,900 WEST KINGSHIGHWAY,PARAGOULD,AR,72450,49,12666.27,5053.22,4400.65
+238458,ST MARYS REGIONAL MEDICAL CENTER,1808 WEST MAIN STREET,RUSSELLVILLE,AR,72801,33,27722.64,5838.42,4761.7
+714674,OUACHITA COUNTY MEDICAL CENTER,638 CALIFORNIA AVENUE,CAMDEN,AR,71701,17,12796.94,5883.94,5115.59
+589667,DREW MEMORIAL HOSPITAL,778 SCOGIN DRIVE,MONTICELLO,AR,71655,23,7773.57,5536.22,5060.39
+293825,SPARKS REGIONAL MEDICAL CENTER,1001 TOWSON AVENUE,FORT SMITH,AR,72902,158,22387.01,5695.24,4660.66
+311454,MERCY HOSPITAL FORT SMITH,7301 ROGERS AVE,FORT SMITH,AR,72917,104,17934.66,5843.64,5073.71
+716331,MAGNOLIA HOSPITAL,101 HOSPITAL DRIVE,MAGNOLIA,AR,71754,37,10971.08,6998.11,5670.24
+382678,GREAT RIVER MEDICAL CENTER,1520 N DIVISION STREET,BLYTHEVILLE,AR,72315,14,12906.21,7263.64,5835.0
+238885,JEFFERSON REGIONAL MEDICAL CENTER,1600 WEST 40TH AVENUE,PINE BLUFF,AR,71603,71,28693.93,6979.25,5591.18
+365629,BAPTIST HEALTH MEDICAL CENTER-STUTTGART,1703 NORTH BUERKLE ST,STUTTGART,AR,72160,29,9232.1,6520.59,5792.07
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+545027,PROVIDENCE LITTLE COMPANY OF MARY MED CTR TORRANCE,4101 TORRANCE BLVD,TORRANCE,CA,90503,81,49984.85,7616.93,6562.3
+137094,TULARE REGIONAL MEDICAL CENTER,869 NORTH CHERRY AVENUE,TULARE,CA,93274,17,23314.24,9095.94,8343.24
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+641713,NORTHBAY MEDICAL CENTER,1200 B  GALE WILSON BLVD,FAIRFIELD,CA,94533,67,101412.88,9163.58,8455.64
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+753996,LAC/HARBOR-UCLA MED CENTER,1000 W CARSON ST,TORRANCE,CA,90502,20,54422.7,22793.45,20055.2
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+816433,PIH HOSPITAL - DOWNEY,11500 BROOKSHIRE AVENUE,DOWNEY,CA,90241,41,49575.1,8746.56,7311.27
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+242909,SANTA BARBARA COTTAGE HOSPITAL,400 WEST PUEBLO,SANTA BARBARA,CA,93102,73,35866.86,8070.42,7047.66
+690086,CHINESE HOSPITAL,845 JACKSON ST,SAN FRANCISCO,CA,94133,14,35555.64,9171.21,8437.21
+734099,MERCY HOSPITAL OF FOLSOM,1650 CREEKSIDE DRIVE,FOLSOM,CA,95630,38,50762.53,8734.21,6866.18
+531735,SUTTER COAST HOSPITAL,800 E WASHINGTON BLVD,CRESCENT CITY,CA,95531,13,29537.15,8878.23,7891.77
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+271163,WEST ANAHEIM MEDICAL CENTER,3033 W ORANGE AVENUE,ANAHEIM,CA,92804,21,37904.57,7929.33,7255.62
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+185498,STANFORD HEALTH CARE,300 PASTEUR DRIVE,STANFORD,CA,94305,123,129198.24,14481.43,11449.78
+535144,MERCY MEDICAL CENTER,333 MERCY AVENUE,MERCED,CA,95340,96,54637.73,9137.47,8063.8
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+138254,SAN JOAQUIN COMMUNITY HOSPITAL,2615 CHESTER AVENUE,BAKERSFIELD,CA,93301,49,40257.51,7961.57,7230.71
+889538,ST MARY'S MEDICAL CENTER,450 STANYAN ST,SAN FRANCISCO,CA,94117,48,60834.98,10051.29,8853.75
+250128,DOCTORS MEDICAL CENTER,1441 FLORIDA AVENUE,MODESTO,CA,95350,82,128319.1,10181.21,9351.17
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+342693,GOOD SAMARITAN HOSPITAL,1225 WILSHIRE BOULEVARD,LOS ANGELES,CA,90017,99,61258.42,9494.67,8771.79
+210341,WEST HILLS HOSPITAL & MEDICAL CENTER,7300 MEDICAL CENTER DR,WEST HILLS,CA,91307,45,63063.69,7196.42,6301.36
+297781,LONG BEACH MEMORIAL MEDICAL CENTER,2801 ATLANTIC AVE,LONG BEACH,CA,90806,84,46208.13,9580.64,7435.18
+767661,EDEN MEDICAL CENTER,20103 LAKE CHABOT ROAD,CASTRO VALLEY,CA,94546,46,44570.33,10563.67,8025.59
+506463,CLOVIS COMMUNITY MEDICAL CENTER,2755 HERNDON AVE,CLOVIS,CA,93611,67,40075.18,7972.03,7266.18
+502478,JOHN MUIR MEDICAL CENTER - CONCORD CAMPUS,2540 EAST ST,CONCORD,CA,94520,101,99593.97,8825.69,7975.25
+407907,SUTTER AUBURN FAITH HOSPITAL,11815 EDUCATION STREET,AUBURN,CA,95603,25,33146.92,7807.92,6783.12
+395076,SAINT VINCENT MEDICAL CENTER,2131 W 3RD ST,LOS ANGELES,CA,90057,52,53280.79,9945.96,7290.19
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+700129,SIERRA VISTA REGIONAL MEDICAL CENTER,1010 MURRAY ST,SAN LUIS OBISPO,CA,93405,13,76157.92,7707.54,6822.31
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+321813,MERCY SAN JUAN MEDICAL CENTER,6501 COYLE AVE,CARMICHAEL,CA,95608,73,55049.23,9959.89,8858.78
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+454473,SUTTER DELTA MEDICAL CENTER,3901 LONE TREE WAY,ANTIOCH,CA,94509,52,47956.56,9485.63,8418.48
+124586,MEMORIAL HOSPITAL LOS BANOS,520 WEST I ST,LOS BANOS,CA,93635,18,34942.89,21167.5,19960.39
+133329,JOHN F KENNEDY MEMORIAL HOSPITAL,47111 MONROE STREET,INDIO,CA,92201,11,53914.18,9237.0,8885.73
+481465,SUTTER DAVIS HOSPITAL,2000 SUTTER PLACE,DAVIS,CA,95616,24,31797.67,8357.58,7375.54
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+221142,MISSION HOSPITAL REGIONAL MED CENTER,27700 MEDICAL CENTER RD,MISSION VIEJO,CA,92691,54,45012.06,7041.59,6211.44
+805766,MADERA COMMUNITY HOSPITAL,1250 E ALMOND AVE,MADERA,CA,93637,28,19369.75,9458.32,8592.32
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+251464,EISENHOWER MEDICAL CENTER,39-000 BOB HOPE DRIVE,RANCHO MIRAGE,CA,92270,116,63018.97,7659.92,6495.44
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+781548,LAKEWOOD REGIONAL MEDICAL CENTER,3700 E SOUTH ST,LAKEWOOD,CA,90712,33,76369.12,7948.33,7421.45
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+894479,FOOTHILL PRESBYTERIAN HOSPITAL,250 S GRAND AVE,GLENDORA,CA,91740,18,32661.44,7734.56,6879.0
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+721213,HENRY MAYO NEWHALL  HOSPITAL,23845  MCBEAN PKWY,VALENCIA,CA,91355,41,66194.0,7935.02,7092.29
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+571205,WHITTIER HOSPITAL MEDICAL CENTER,9080 COLIMA RD,WHITTIER,CA,90605,37,59080.46,9671.62,8432.73
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+528077,CENTINELA HOSPITAL MEDICAL CENTER,555 EAST HARDY STREET,INGLEWOOD,CA,90301,108,38837.8,8294.74,7530.62
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+558841,ORANGE COUNTY GLOBAL MEDICAL CENTER,1001 NORTH TUSTIN AVENUE,SANTA ANA,CA,92705,13,49925.15,11383.62,10538.15
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+403223,PROVIDENCE TARZANA MEDICAL CENTER,18321 CLARK STREET,TARZANA,CA,91356,74,49707.15,7664.54,6580.35
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+295439,LOMA LINDA UNIVERSITY MEDICAL CENTER-MURRIETA,28062 BAXTER ROAD,MURRIETA,CA,92563,33,40490.15,6904.12,5853.76
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+115546,PLATTE VALLEY MEDICAL CENTER,1600 PRAIRIE CENTER PARKWAY,BRIGHTON,CO,80601,14,23032.0,7159.43,6061.43
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+495086,SAN LUIS VALLEY HEALTH,106 BLANCA AVE,ALAMOSA,CO,81101,12,13799.67,7153.58,6509.58
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+770521,STERLING REGIONAL MEDCENTER,615 FAIRHURST ST,STERLING,CO,80751,13,13059.0,7533.23,7037.85
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+691287,"MILFORD HOSPITAL, INC",300 SEASIDE AVENUE,MILFORD,CT,6460,39,26605.36,7157.23,5838.77
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+556731,BAYFRONT HEALTH - ST PETERSBURG,701 6TH ST S,SAINT PETERSBURG,FL,33701,38,47388.79,7632.24,6564.89
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+641726,BROWARD HEALTH MEDICAL CENTER,1600 S ANDREWS AVE,FORT LAUDERDALE,FL,33316,60,31839.0,10028.98,8939.9
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+574503,MAYO CLINIC,4500 SAN PABLO RD,JACKSONVILLE,FL,32224,66,20172.95,8511.85,4982.88
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+643817,PLANTATION GENERAL HOSPITAL,401 NW 42ND AVE,PLANTATION,FL,33317,87,56685.98,8363.59,7240.78
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+829702,FLORIDA HOSPITAL TAMPA,3100 E FLETCHER AVE,TAMPA,FL,33613,77,40270.38,5849.13,4937.34
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+211058,METROWEST MEDICAL CENTER,115 LINCOLN STREET,FRAMINGHAM,MA,1701,79,13003.22,7704.9,6446.81
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+118227,ST MARY MERCY HOSPITAL,36475 FIVE MILE ROAD,LIVONIA,MI,48154,176,14402.54,6795.72,5754.56
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+885705,PROMEDICA BIXBY HOSPITAL,818 RIVERSIDE AVENUE,ADRIAN,MI,49221,45,22820.38,5880.27,4997.96
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+103787,"LAKELAND HOSPITAL, ST JOSEPH",1234 NAPIER AVENUE,ST JOSEPH,MI,49085,111,12951.29,6479.34,5456.35
+731404,COMMUNITY HEALTH CENTER OF BRANCH COUNTY,274 E CHICAGO ST,COLDWATER,MI,49036,28,13088.54,6291.43,5391.43
+695848,SINAI-GRACE HOSPITAL,6071 W OUTER DRIVE,DETROIT,MI,48235,142,15031.17,8671.26,7272.82
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+329505,MIDMICHIGAN MEDICAL CENTER-GRATIOT,300 E WARWICK DR,ALMA,MI,48801,29,10944.38,7387.55,4660.66
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+798549,MIDMICHIGAN MEDICAL CENTER - ALPENA,1501 W CHISHOLM ST,ALPENA,MI,49707,51,21376.27,6942.47,6138.16
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+816727,SPECTRUM HEALTH PENNOCK,1009 W GREEN ST,HASTINGS,MI,49058,24,13997.21,6389.29,5588.96
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+559518,HENRY FORD MACOMB HOSPITAL,15855 NINETEEN MILE RD,CLINTON TOWNSHIP,MI,48038,69,13653.51,6511.28,5315.16
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+207417,SAINT MARY'S HEALTH CARE,200 JEFFERSON AVENUE SE,GRAND RAPIDS,MI,49503,45,12945.18,7277.24,5282.27
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+869178,ST MARY'S OF MICHIGAN MEDICAL CENTER,800 S WASHINGTON AVENUE,SAGINAW,MI,48601,60,14447.57,6081.18,4928.7
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+154916,"BEAUMONT HOSPITAL, GROSSE POINTE",468 CADIEUX RD,GROSSE POINTE,MI,48230,86,17257.33,6082.23,5094.23
+686524,HENRY FORD ALLEGIANCE HEALTH,205 N EAST AVE,JACKSON,MI,49201,74,25474.18,6613.34,5774.85
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+883525,WEST BRANCH REGIONAL MEDICAL CENTER,2463 SOUTH M-30,WEST BRANCH,MI,48661,31,11477.1,6049.97,5265.97
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+455582,HARPER UNIVERSITY HOSPITAL,3990 JOHN R STREET,DETROIT,MI,48201,243,17196.37,10184.47,8570.28
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+537482,BORGESS MEDICAL CENTER,1521 GULL ROAD,KALAMAZOO,MI,49048,162,19738.84,7469.56,6080.27
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+632091,MEMORIAL HEALTHCARE,826 WEST KING STREET,OWOSSO,MI,48867,26,27321.58,6325.42,5587.73
+814116,"BEAUMONT HOSPITAL, ROYAL OAK",3601 W THIRTEEN MILE RD,ROYAL OAK,MI,48073,364,22541.22,7403.33,6095.09
+389417,HURLEY MEDICAL CENTER,ONE HURLEY PLAZA,FLINT,MI,48503,101,23027.68,10046.82,8727.46
+524919,OTSEGO MEMORIAL HOSPITAL,825 N CENTER AVE,GAYLORD,MI,49735,16,11657.13,6701.44,5819.44
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+808743,BEAUMONT HOSPITAL - WAYNE,33155 ANNAPOLIS AVE,WAYNE,MI,48184,44,24941.64,6602.7,5851.61
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+651345,ST JOSEPH MERCY HOSPITAL,5301 E HURON RIVER DR,ANN ARBOR,MI,48106,214,20596.13,6974.23,5673.23
+201837,ST JOHN HOSPITAL AND MEDICAL CENTER,22101 MOROSS RD,DETROIT,MI,48236,107,17218.67,7965.48,6396.57
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+663694,MCLAREN MACOMB,1000 HARRINGTON BLVD,MOUNT CLEMENS,MI,48043,61,11603.69,6593.89,5493.07
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+362590,CHIPPEWA COUNTY WAR MEMORIAL HOSPITAL,500 OSBORN BLVD,SAULT SAINTE MARIE,MI,49783,38,14129.26,7921.29,6868.0
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+123547,CRITTENTON HOSPITAL MEDICAL CENTER,1101 W UNIVERSITY DRIVE,ROCHESTER,MI,48307,70,18805.41,6627.89,5812.39
+588105,ST JOSEPH MERCY CHELSEA,775 S MAIN ST,CHELSEA,MI,48118,15,16503.07,5556.13,4619.07
+288509,"BEAUMONT HOSPITAL, TROY",44201 DEQUINDRE ROAD,TROY,MI,48085,292,22301.86,6019.53,5139.08
+495665,BEAUMONT HOSPITAL - TAYLOR,10000 TELEGRAPH ROAD,TAYLOR,MI,48180,30,21676.9,6498.33,5666.47
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+504063,WEST SHORE MEDICAL CENTER,1465 E PARKDALE AVE,MANISTEE,MI,49660,17,11235.47,9206.24,8526.0
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+882568,ESSENTIA HEALTH ST MARY'S MEDICAL CENTER,407 EAST THIRD STREET,DULUTH,MN,55805,97,17097.16,6576.95,5758.46
+609611,HENNEPIN COUNTY MEDICAL CENTER 1,701 PARK AVENUE,MINNEAPOLIS,MN,55415,88,35722.92,12461.45,9805.43
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+860225,"UNIVERSITY OF MINNESOTA  MEDICAL CENTER, FAIRVIEW",2450 RIVERSIDE AVENUE,MINNEAPOLIS,MN,55454,90,45720.09,11544.8,7840.7
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+611847,REGIONS HOSPITAL,640 JACKSON STREET,SAINT PAUL,MN,55101,148,23264.24,8546.7,7363.27
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+790803,GOOD SAMARITAN REGIONAL MEDICAL CENTER,3600 NW SAMARITAN DRIVE,CORVALLIS,OR,97330,61,26671.43,8704.95,7414.98
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+702589,ST CHARLES MEDICAL CENTER - BEND,2500 NE NEFF ROAD,BEND,OR,97701,45,24684.24,6887.22,5772.2
+387869,SKY LAKES MEDICAL CENTER,2865 DAGGETT AVENUE,KLAMATH FALLS,OR,97601,34,36683.29,8578.24,7451.44
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+393428,PENN HIGHLANDS DUBOIS,100 HOSPITAL AVENUE,DUBOIS,PA,15801,73,10792.04,5820.73,4908.23
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+518911,ST JOSEPH MEDICAL CENTER,2500 BERNVILLE ROAD,READING,PA,19605,75,27403.35,7226.79,5387.61
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+286526,ARIA HEALTH,10800 KNIGHTS ROAD,PHILADELPHIA,PA,19114,130,33547.21,7930.32,6113.54
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+139964,BRADFORD REGIONAL MEDICAL CENTER,116 INTERSTATE PARKWAY,BRADFORD,PA,16701,32,13136.88,6581.16,5898.66
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+115309,UPMC PRESBYTERIAN SHADYSIDE,200 LOTHROP STREET,PITTSBURGH,PA,15213,207,56047.51,9834.61,5843.77
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+652802,PENNSYLVANIA HOSPITAL,800 SPRUCE STREET,PHILADELPHIA,PA,19107,80,58182.0,9506.64,7618.81
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+888840,HANOVER HOSPITAL,300 HIGHLAND AVE,HANOVER,PA,17331,92,15789.43,6639.62,5511.65
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+873181,MILTON S HERSHEY MEDICAL CENTER,500 UNIVERSITY DRIVE,HERSHEY,PA,17033,113,26427.83,10414.84,7094.3
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+349320,MULTICARE GOOD SAMARITAN HOSPITAL,401 15TH AVENUE SE,PUYALLUP,WA,98372,136,35681.15,7212.28,5994.53
+897391,VALLEY MEDICAL CENTER,400 S 43RD ST,RENTON,WA,98055,91,20729.74,7938.89,6571.85
+320305,ST JOSEPH MEDICAL CENTER,1717 SOUTH J STREET,TACOMA,WA,98405,68,31226.93,8813.87,5862.78
+122295,VALLEY HOSPITAL,12606 EAST MISSION AVENUE,SPOKANE,WA,99216,37,29641.89,6456.84,5307.68
+886704,EVERGREENHEALTH MEDICAL CENTER,12040 NE 128TH STREET,KIRKLAND,WA,98034,63,39757.65,7698.29,5904.68
+520689,TACOMA GENERAL ALLENMORE HOSPITAL,315 S MLK JR WAY,TACOMA,WA,98405,140,35355.03,8164.14,6986.55
+479967,CAPITAL MEDICAL CENTER,3900 CAPITAL MALL DR SW,OLYMPIA,WA,98502,22,26350.36,7145.14,5506.05
+544885,ST FRANCIS COMMUNITY HOSPITAL,34515 9TH AVENUE SOUTH,FEDERAL WAY,WA,98003,50,32000.4,7643.48,6123.74
+652678,LEGACY SALMON CREEK MEDICAL CENTER,2211 NE 139TH STREET,VANCOUVER,WA,98686,82,37039.62,8093.8,6537.96
+190394,ST ANTHONY HOSPITAL,11567 CANTERWOOD BOULEVARD NW,GIG HARBOR,WA,98332,50,32887.98,6619.54,5695.54
+896333,SWEDISH ISSAQUAH,751 NE BLAKELY DR,ISSAQUAH,WA,98029,27,23507.74,6352.37,4688.85
+372773,WEST VIRGINIA UNIVERSITY HOSPITALS,MEDICAL CENTER DRIVE,MORGANTOWN,WV,26506,92,27262.93,9562.93,6853.65
+796863,GREENBRIER VALLEY MEDICAL CENTER,1320 MAPLEWOOD AVENUE,RONCEVERTE,WV,24970,23,15652.22,6024.43,5245.3
+160563,UNITED HOSPITAL CENTER,327 MEDICAL PARK DRIVE,BRIDGEPORT,WV,26330,95,13031.97,6205.07,4990.18
+177880,ST MARY'S MEDICAL CENTER,2900 1ST AVENUE,HUNTINGTON,WV,25702,156,18884.1,6879.55,5102.62
+726277,BERKELEY MEDICAL CENTER,2500 HOSPITAL DRIVE,MARTINSBURG,WV,25401,101,13292.04,6380.11,5207.77
+421492,PLEASANT VALLEY HOSPITAL,2520 VALLEY DRIVE,POINT PLEASANT,WV,25550,33,19694.45,5510.91,4212.91
+557241,REYNOLDS MEMORIAL HOSPITAL,800 WHEELING AVE,GLEN DALE,WV,26038,31,10746.13,5737.23,4143.94
+644368,CHARLESTON AREA MEDICAL CENTER,501 MORRIS STREET,CHARLESTON,WV,25301,255,25938.67,7094.35,5453.8
+746119,WEIRTON MEDICAL CENTER,601 COLLIERS WAY,WEIRTON,WV,26062,39,11094.21,5123.08,4088.85
+280859,MONONGALIA COUNTY GENERAL HOSPITAL,1200 JD ANDERSON DR,MORGANTOWN,WV,26505,86,17040.95,5311.03,4257.84
+693145,THOMAS MEMORIAL HOSPITAL,4605 MACCORKLE AVE SW,SOUTH CHARLESTON,WV,25309,64,18042.08,5845.69,4968.78
+121597,DAVIS MEDICAL CENTER,812 GORMAN AVENUE,ELKINS,WV,26241,34,10400.24,5982.74,4597.65
+666646,ST FRANCIS HOSPITAL,333 LAIDLEY ST,CHARLESTON,WV,25301,17,9604.12,6173.06,4198.59
+171153,STONEWALL JACKSON MEMORIAL HOSPITAL,230 HOSPITAL PLAZA,WESTON,WV,26452,13,7321.46,5675.23,4483.08
+690935,OHIO VALLEY MEDICAL CENTER,2000 EOFF STREET,WHEELING,WV,26003,28,21075.79,6838.86,4680.0
+305901,PRINCETON COMMUNITY HOSPITAL,122 12TH STREET,PRINCETON,WV,24740,49,14526.2,5548.18,4287.24
+497165,FAIRMONT REGIONAL MEDICAL CENTER,1325 LOCUST AVENUE,FAIRMONT,WV,26554,34,22235.53,6876.5,5686.53
+736765,LOGAN REGIONAL MEDICAL CENTER,20 HOSPITAL DRIVE,LOGAN,WV,25601,74,18858.31,6991.31,5797.65
+491617,WHEELING HOSPITAL,1 MEDICAL PARK,WHEELING,WV,26003,90,12363.67,6522.57,5065.91
+364085,CABELL HUNTINGTON HOSPITAL INC,1340 HAL GREER BOULEVARD,HUNTINGTON,WV,25701,36,18116.61,8098.19,6611.67
+597369,CAMDEN CLARK MEDICAL CENTER,800 GARFIELD AVE,PARKERSBURG,WV,26101,138,15931.1,5586.68,4384.06
+409697,BECKLEY ARH HOSPITAL,306 STANAFORD ROAD,BECKLEY,WV,25801,28,9225.68,5757.21,4754.36
+589365,RALEIGH GENERAL HOSPITAL,1710 HARPER ROAD,BECKLEY,WV,25801,91,17796.45,5849.7,4810.37
+320259,BLUEFIELD REGIONAL MEDICAL CENTER,500 CHERRY ST,BLUEFIELD,WV,24701,27,12798.22,6804.41,5093.78
+693667,WILLIAMSON MEMORIAL HOSPITAL,859 ALDERSON STREET,WILLIAMSON,WV,25661,22,16853.95,5415.55,4309.18
+846457,SUMMERSVILLE REGIONAL MEDICAL CENTER,400 FAIRVIEW HEIGHTS ROAD,SUMMERSVILLE,WV,26651,21,10981.29,6283.9,5259.67
+470411,MINISTRY ST MICHAELS HOSPITAL OF STEVENS POINT,900 ILLINOIS AVE,STEVENS POINT,WI,54481,23,10208.17,5280.3,4553.52
+347401,MAYO CLINIC HLTH SYSTEM  FRANCISCAN MED CTR,700 WEST AVENUE SOUTH,LA CROSSE,WI,54601,52,22408.77,6685.21,5534.87
+687103,WAUKESHA MEMORIAL HOSPITAL,725 AMERICAN AVE,WAUKESHA,WI,53188,88,24187.06,6210.45,4615.48
+752491,ST ELIZABETH HOSPITAL,1506 S ONEIDA ST,APPLETON,WI,54915,18,12932.17,7045.44,5751.5
+599655,LAKEVIEW MEDICAL CENTER,1700 WEST STOUT STREET,RICE LAKE,WI,54868,38,10961.29,6476.63,5666.11
+541517,SACRED HEART HOSPITAL,900 W CLAIREMONT AVE,EAU CLAIRE,WI,54701,65,22690.91,6121.51,5078.06
+838143,MINISTRY SAINT MARYS HOSPITAL,2251 NORTH SHORE DR,RHINELANDER,WI,54501,20,23192.6,6728.55,6022.95
+645495,UNITED HOSPITAL SYSTEM,6308 EIGHTH AVE,KENOSHA,WI,53143,109,20451.86,6325.68,5456.65
+391561,COLUMBIA ST MARYS HOSPITAL OZAUKEE,13111 N PORT WASHINGTON RD,MEQUON,WI,53097,65,19905.95,5595.58,4428.25
+585225,THE MONROE CLINIC,2005 5TH STREET,MONROE,WI,53566,34,18181.76,6606.0,5628.53
+439244,ASPIRUS WAUSAU HOSPITAL,333 PINE RIDGE BLVD,WAUSAU,WI,54401,89,19263.27,5979.84,4769.35
+602685,AURORA MEDICAL CTR MANITOWOC COUNTY,5000 MEMORIAL DRIVE,TWO RIVERS,WI,54241,13,15703.38,6974.54,5787.77
+676010,AURORA SHEBOYGAN MEMORIAL MEDICAL CTR,2629 N 7TH ST,SHEBOYGAN,WI,53083,22,18701.27,6302.27,5543.73
+882378,MINISTRY SAINT JOSEPHS HOSPITAL,611 ST JOSEPH AVE,MARSHFIELD,WI,54449,67,18971.18,7660.43,6093.1
+691865,AURORA MEDICAL CTR WASHINGTON COUNTY,1032 E SUMNER ST,HARTFORD,WI,53027,27,23044.52,5732.67,4271.33
+666535,DIVINE SAVIOR HEALTHCARE,2817 NEW PINERY ROAD,PORTAGE,WI,53901,13,15390.31,6131.08,5349.23
+616758,THEDACARE REGIONAL MEDICAL CENTER - NEENAH INC,130 2ND ST,NEENAH,WI,54956,21,9540.38,6067.48,4810.0
+607578,MERCY MEDICAL CENTER OF OSHKOSH,500 S OAKWOOD RD,OSHKOSH,WI,54904,15,11210.13,6365.0,4921.47
+212688,BELLIN MEMORIAL HOSPITAL,744 S WEBSTER AVE,GREEN BAY,WI,54305,55,14552.78,5795.45,4911.16
+319394,COLUMBIA ST MARYS HOSPITAL MILWAUKEE,2323 N LAKE DR,MILWAUKEE,WI,53211,63,26484.71,7887.11,6792.41
+855397,SSM HEALTH ST CLARE HOSPITAL - BARABOO,707 14TH ST,BARABOO,WI,53913,41,18587.15,6966.0,6020.68
+464997,AURORA MEMORIAL HOSPITAL BURLINGTON,252 MCHENRY ST,BURLINGTON,WI,53105,28,17183.32,5851.68,4616.04
+878374,OCONOMOWOC MEMORIAL HOSPITAL,791 E SUMMIT AVE,OCONOMOWOC,WI,53066,16,15822.5,6379.81,4526.0
+177804,ST JOSEPHS COMMUNITY HOSPITAL OF WEST BEND,3200 PLEASANT VALLEY ROAD,WEST BEND,WI,53095,29,24307.69,5319.93,4479.93
+276555,MERCY HEALTH SYSTEM CORP,1000 MINERAL POINT AVE,JANESVILLE,WI,53548,62,23745.06,6799.44,5710.68
+551842,MAYO CLINIC HEALTH SYSTEM IN EAU CLAIRE,1221 WHIPPLE ST,EAU CLAIRE,WI,54703,136,23668.85,6630.16,4894.91
+683494,FORT MEMORIAL HOSPITAL,611 SHERMAN AVE E,FORT ATKINSON,WI,53538,29,16489.41,6286.48,5362.48
+134702,ST VINCENT HOSPITAL,835 S VAN BUREN ST,GREEN BAY,WI,54301,50,22114.76,6600.86,4876.7
+706218,BEAVER DAM COMMUNITY HOSPITAL,707 S UNIVERSITY AVE,BEAVER DAM,WI,53916,20,16813.75,5706.55,4622.95
+740663,WHEATON FRANCISCAN HEALTHCARE ST FRANCIS HOSPITAL,3237 S 16TH ST,MILWAUKEE,WI,53215,40,21886.43,6634.78,5861.68
+639820,SSM HEALTH ST MARY'S HOSPITAL - MADISON,700 SOUTH PARK ST,MADISON,WI,53715,140,26011.79,6765.06,5654.46
+793434,GUNDERSEN LUTHERAN MEDICAL CENTER,1910 SOUTH AVE,LA CROSSE,WI,54601,39,15878.69,7249.85,6201.97
+200281,ST AGNES HOSPITAL,430 E DIVISION ST,FOND DU LAC,WI,54935,40,16543.18,6158.55,5358.45
+146724,UNITYPOINT HEALTH - MERITER,202 S PARK ST,MADISON,WI,53715,68,28834.1,7542.32,6453.85
+317454,HOWARD YOUNG MEDICAL CTR,240 MAPLE ST,WOODRUFF,WI,54568,18,13432.44,8490.39,5778.94
+199713,SAUK PRAIRIE HOSPITAL,260 26TH STREET,PRAIRIE DU SAC,WI,53578,11,15913.0,5163.91,4112.64
+197614,WHEATON FRANCISCAN HEALTHCARE ALL SAINTS,3801 SPRING ST,RACINE,WI,53405,54,16137.22,6821.22,6099.09
+398317,ST MARYS HOSPITAL MEDICAL CTR,1726 SHAWANO AVE,GREEN BAY,WI,54303,17,17128.65,5711.76,4736.71
+779595,UNIVERSITY OF WI  HOSPITALS & CLINICS AUTHORITY,600 HIGHLAND AVENUE,MADISON,WI,53792,149,25330.59,11086.81,7068.01
+624452,BELOIT MEMORIAL HOSPITAL,1969 W HART RD,BELOIT,WI,53511,56,35214.91,6759.66,5411.3
+873795,AURORA LAKELAND MEDICAL CENTER,W3985 COUNTY ROAD NN,ELKHORN,WI,53121,34,16567.41,6595.26,4616.26
+393088,COMMUNITY MEMORIAL HOSPITAL,W180 N8085 TOWN HALL RD,MENOMONEE FALLS,WI,53051,41,20308.27,5296.71,4609.0
+512091,HOLY FAMILY MEMORIAL,2300 WESTERN AVE,MANITOWOC,WI,54221,22,14012.45,5919.05,4931.41
+726372,MILE BLUFF MEDICAL CENTER,1050 DIVISION ST,MAUSTON,WI,53948,30,19915.43,7030.43,6303.37
+125489,BAY AREA MEDICAL CENTER,3100 SHORE DRIVE,MARINETTE,WI,54143,42,20566.79,6123.62,5384.12
+434478,WATERTOWN REGIONAL MEDICAL CENTER,125 HOSPITAL DRIVE,WATERTOWN,WI,53098,25,18145.84,6649.4,5574.2
+222549,WHEATON FRANCISCAN - ST JOSEPH,5000 W CHAMBERS ST,MILWAUKEE,WI,53210,76,20135.88,7848.45,6413.59
+327750,AURORA ST LUKES MEDICAL CENTER,2900 W OKLAHOMA AVE,MILWAUKEE,WI,53215,319,30366.82,7638.88,5896.06
+565141,AURORA WEST ALLIS MEDICAL CENTER,8901 W LINCOLN AVE,WEST ALLIS,WI,53227,69,26902.8,7385.75,4798.01
+100743,THEDACARE REGIONAL MEDICAL CENTER - APPLETON INC,1818 N MEADE ST,APPLETON,WI,54911,38,10314.97,5669.61,4631.76
+647919,FROEDTERT MEMORIAL LUTHERAN HOSPITAL,9200 W WISCONSIN AVE,MILWAUKEE,WI,53226,152,24939.21,9834.24,6692.22
+461247,AURORA MEDICAL CTR KENOSHA,10400 75TH ST,KENOSHA,WI,53142,45,19539.93,6678.91,4837.82
+446112,AURORA BAYCARE MEDICAL CTR,2845 GREENBRIER RD,GREEN BAY,WI,54311,33,21884.58,7289.09,5093.3
+746896,AURORA MEDICAL CTR OSHKOSH,855 N WESTHAVEN DRIVE,OSHKOSH,WI,54904,18,21427.11,5400.17,4261.5
+438635,ST CLARES HOSPITAL OF WESTON,3400 MINISTRY PARKWAY,WESTON,WI,54476,26,12835.69,5553.58,5010.81
+109921,WHEATON FRANCISCAN HEALTHCARE FRANKLIN,10101 SOUTH 27TH ST,FRANKLIN,WI,53132,14,22429.14,5537.64,4711.64
+384586,AURORA MEDICAL CENTER,36500 AURORA DRIVE,SUMMIT,WI,53066,23,16888.3,5848.87,4266.22
+544919,AURORA MEDICAL CENTER,975 PORT WASHINGTON ROAD,GRAFTON,WI,53024,46,21277.7,5598.74,4206.85
+306909,SSM HEALTH ST MARY'S HOSPITAL - JANESVILLE,3400 EAST RACINE STREET,JANESVILLE,WI,53546,41,29395.1,6142.49,4900.95
+483602,CAMPBELL COUNTY MEMORIAL HOSPITAL,501 SOUTH BURMA AVENUE,GILLETTE,WY,82716,18,14235.39,10325.83,9333.39
+159781,SHERIDAN MEMORIAL HOSPITAL,1401 W 5TH ST,SHERIDAN,WY,82801,17,18106.47,10025.59,9116.41
+271631,SAGEWEST HEALTH CARE,2100 W SUNSET DR,RIVERTON,WY,82501,24,20784.46,8114.67,7316.67
+132659,WYOMING MEDICAL CENTER,1233 EAST 2ND ST,CASPER,WY,82601,63,20536.25,6322.21,4972.06
+632085,CHEYENNE REGIONAL MEDICAL CENTER,214 EAST 23RD STREET,CHEYENNE,WY,82001,43,26096.37,9081.3,8249.74
+489276,ST JOHNS MEDICAL CENTER,625 EAST BROADWAY,JACKSON,WY,83001,15,19741.07,11231.53,9396.4
+363668,ST MARKS MEDICAL CENTER,ONE ST MARK'S PLACE,LA GRANGE,TX,78945,23,11064.7,5373.91,4701.91
+572637,METHODIST MANSFIELD MEDICAL CENTER,2700 E BROAD STREET,MANSFIELD,TX,76063,45,37758.53,5469.38,4654.96
+482357,NORTH CYPRESS MEDICAL CENTER,21214 NORTHWEST FREEWAY,CYPRESS,TX,77429,67,57603.1,5413.22,4597.46
+336136,THE HEART HOSPITAL BAYLOR PLANO,1100 ALLIED DRIVE,PLANO,TX,75093,70,24284.89,5626.96,4568.46
+347620,ST LUKE'S PATIENTS MEDICAL CENTER,4600 EAST SAM HOUSTON PARKWAY SOUTH,PASADENA,TX,77505,26,26173.58,5550.54,4397.15
+775944,SCOTT & WHITE HOSPITAL-ROUND ROCK,300 UNIVERSITY BLVD,ROUND ROCK,TX,78664,72,17278.9,5272.5,4456.81
+798011,SETON MEDICAL CENTER WILLIAMSON,201 SETON PARKWAY,ROUND ROCK,TX,78664,44,41729.32,6343.02,4876.95
+772462,CEDAR PARK REGIONAL MEDICAL CENTER,1401 MEDICAL PARKWAY,CEDAR PARK,TX,78613,40,32319.5,6374.08,4809.3
+524540,TEXAS HEALTH PRESBYTERIAN HOSPITAL ROCKWALL,3150 HORIZON ROAD,ROCKWALL,TX,75032,23,30690.7,6149.13,4608.13
+845764,SIERRA PROVIDENCE EAST MEDICAL CENTER,3280 JOE BATTLE BLVD,EL PASO,TX,79938,24,57629.83,6337.08,5591.58
+857451,ST LUKE'S SUGAR LAND HOSPITAL,1317 LAKE POINTE PARKWAY,SUGAR LAND,TX,77478,18,26750.0,6065.5,5068.39
+172295,METHODIST STONE OAK HOSPITAL,1139 E SONTERRA BLVD,SAN ANTONIO,TX,78258,44,41127.66,5228.59,4126.3
+609700,SETON MEDICAL CENTER HAYS,6001 KYLE PKWY,KYLE,TX,78640,28,42729.71,5909.89,5115.04
+774174,BAYLOR SCOTT AND WHITE MEDICAL CENTER SUNNYVALE,231 SOUTH COLLINS ROAD,SUNNYVALE,TX,75182,54,35250.85,6202.28,5198.72
+609428,TEXAS HEALTH PRESBYTERIAN HOSPITAL FLOWER MOUND,4400 LONG PRAIRIE ROAD,FLOWER MOUND,TX,75028,19,34573.74,5809.47,5072.63
+798772,TEXAS HEALTH HEART & VASCULAR HOSPITAL ARLINGTON,811 WRIGHT STREET,ARLINGTON,TX,76012,56,28660.21,5464.57,4607.82
+680386,ST LUKE'S HOSPITAL AT THE VINTAGE,20171 CHASEWOOD PARK DRIVE,HOUSTON,TX,77070,17,26840.76,5982.24,5453.53
+584425,HOUSTON METHODIST WEST HOSPITAL,18500 KATY FREEWAY,HOUSTON,TX,77094,65,29921.46,6349.26,5482.29
+785469,"LAKEWAY REGIONAL MEDICAL CENTER, LLC",100  MEDICAL PARKWAY,LAKEWAY,TX,78734,11,30006.36,5407.0,5058.27
+271503,SETON MEDICAL CENTER HARKER HEIGHTS,850 W CENTRAL TEXAS EXPRESSWAY,HARKER HEIGHTS,TX,76548,24,20640.08,5626.67,4824.0
+896517,BAYLOR SCOTT AND WHITE  MEDICAL CENTER  MCKINNEY,5252 WEST UNIVERSITY DRIVE,MC KINNEY,TX,75071,68,22622.81,6424.68,5601.74
+415842,TEXAS HEALTH HARRIS METHODIST HOSPITAL ALLIANCE,10864 TEXAS HEALTH TRAIL,FORT WORTH,TX,76244,17,40714.88,5892.47,5064.0
+403227,BAYLOR SCOTT & WHITE MEDICAL CENTER- COLLEGE STATI,700 SCOTT & WHITE DRIVE,COLLEGE STATION,TX,77845,37,20837.57,6389.76,3927.62
+797810,WALNUT HILL MEDICAL CENTER,7502 GREENVILLE AVENUE,DALLAS,TX,75231,52,32453.85,21927.08,4423.52
+611900,"BAY AREA REGIONAL MEDICAL CENTER, LLC",200 BLOSSOM STREET,WEBSTER,TX,77598,31,33006.84,19222.26,4497.16
+693781,RESOLUTE HEALTH HOSPITAL,"555 CREEKSIDE XING,",NEW BRAUNFELS,TX,78130,19,34370.0,9910.16,4531.37
+322584,BAYLOR SCOTT & WHITE MEDICAL CENTER - MARBLE FALLS,810 W HIGHWAY 71,MARBLE FALLS,TX,78654,18,17398.72,4650.44,3500.67
diff --git a/data/sales_9_2022.xlsx b/data/sales_9_2022.xlsx
new file mode 100644
index 0000000..9b6845c
Binary files /dev/null and b/data/sales_9_2022.xlsx differ
diff --git a/data/sales_cleanup.xlsx b/data/sales_cleanup.xlsx
new file mode 100644
index 0000000..02b7579
Binary files /dev/null and b/data/sales_cleanup.xlsx differ
diff --git a/data/sales_data_types.csv b/data/sales_data_types.csv
new file mode 100644
index 0000000..3603ac1
--- /dev/null
+++ b/data/sales_data_types.csv
@@ -0,0 +1,6 @@
+Customer Number,Customer Name,2016,2017,Percent Growth,Jan Units,Month,Day,Year,Active
+"10002.0",Quest Industries,"$125,000.00",$162500.00,30.00%,500,1,10,2015,"Y"
+552278,Smith Plumbing,"$920,000.00","$101,2000.00",10.00%,700,6,15,2014,"Y"
+23477,ACME Industrial,"$50,000.00",$62500.00,25.00%,125,3,29,2016,"Y"
+24900,Brekke LTD,"$350,000.00",$490000.00,4.00%,75,10,27,2015,"Y"
+651029,Harbor Co,"$15,000.00",$12750.00,-15.00%,Closed,2,2,2014,"N"
diff --git a/data/sample-address-1.xlsx b/data/sample-address-1.xlsx
new file mode 100644
index 0000000..0304fe1
Binary files /dev/null and b/data/sample-address-1.xlsx differ
diff --git a/data/sample-address-2.xlsx b/data/sample-address-2.xlsx
new file mode 100644
index 0000000..a8e0112
Binary files /dev/null and b/data/sample-address-2.xlsx differ
diff --git a/data/school_transform.csv b/data/school_transform.csv
new file mode 100644
index 0000000..7b8d2b4
--- /dev/null
+++ b/data/school_transform.csv
@@ -0,0 +1,758 @@
+,School Name,City,State,District Name,Model Selected,Award_Amount,Region
+0,HOGARTH KINGEEKUK MEMORIAL SCHOOL,SAVOONGA,AK,BERING STRAIT SCHOOL DISTRICT,Transformation,471014,West
+1,AKIACHAK SCHOOL,AKIACHAK,AK,YUPIIT SCHOOL DISTRICT,Transformation,520579,West
+2,GAMBELL SCHOOL,GAMBELL,AK,BERING STRAIT SCHOOL DISTRICT,Transformation,449592,West
+3,BURCHELL HIGH SCHOOL,WASILLA,AK,MATANUSKA-SUSITNA BOROUGH SCHOOL DISTRICT,Transformation,641184,West
+4,AKIAK SCHOOL,AKIAK,AK,YUPIIT SCHOOL DISTRICT,Transformation,399686,West
+5,MIDVALLEY HIGH,WASILLA,AK,MATANUSKA-SUSITNA BOROUGH SCHOOL DISTRICT,Restart,697703,West
+6,TULUKSAK SCHOOL,TULUKSAK,AK,YUPIIT SCHOOL DISTRICT,Transformation,427658,West
+7,CAPITOL HEIGHTS JR HIGH SCH,MONTGOMERY,AL,MONTGOMERY COUNTY,Transformation,110544,South
+8,LOWNDES CO MIDDLE SCH,FORT DEPOSIT,AL,LOWNDES COUNTY,Transformation,12973,South
+9,CENTRAL MIDDLE SCH,ROCKFORD,AL,COOSA COUNTY,Transformation,199828,South
+10,BELLINGRATH JR HIGH SCH,MONTGOMERY,AL,MONTGOMERY COUNTY,Transformation,165903,South
+11,HAYNEVILLE MIDDLE SCH,HAYNEVILLE,AL,LOWNDES COUNTY,Transformation,121657,South
+12,SOUTHLAWN MIDDLE SCH,MONTGOMERY,AL,MONTGOMERY COUNTY,Transformation,914557,South
+13,CONTINUOUS LEARNING CTR,MOBILE,AL,MOBILE COUNTY,Transformation,198953,South
+14,JACKSON-STEELE ELEM SCH,HAYNEVILLE,AL,LOWNDES COUNTY,Transformation,118394,South
+15,MCINTYRE MIDDLE SCH,MONTGOMERY,AL,MONTGOMERY COUNTY,Transformation,143238,South
+16,JOHN ESSEX HIGH SCH,DEMOPOLIS,AL,MARENGO COUNTY,Transformation,151116,South
+17,CALHOUN HIGH SCH,LETOHATCHEE,AL,LOWNDES COUNTY,Transformation,163619,South
+18,OSCEOLA MIDDLE SCHOOL,OSCEOLA,AR,OSCEOLA SCHOOL DISTRICT,Transformation,665000,South
+19,HALL HIGH SCHOOL,LITTLE ROCK,AR,LITTLE ROCK SCHOOL DISTRICT,Transformation,198728,South
+20,ROSE CITY MIDDLE SCHOOL,NORTH LITTLE ROCK,AR,N. LITTLE ROCK SCHOOL DISTRICT,Transformation,991451,South
+21,TRUSTY ELEMENTARY SCHOOL,FORT SMITH,AR,FORT SMITH SCHOOL DISTRICT,Transformation,990135,South
+22,J.A. FAIR HIGH SCHOOL,LITTLE ROCK,AR,LITTLE ROCK SCHOOL DISTRICT,Transformation,197012,South
+23,OSCEOLA HIGH SCHOOL,OSCEOLA,AR,OSCEOLA SCHOOL DISTRICT,Transformation,695000,South
+24,CLOVERDALE MIDDLE SCHOOL,LITTLE ROCK,AR,LITTLE ROCK SCHOOL DISTRICT,Transformation,198783,South
+25,GADSDEN ELEMENTARY SCHOOL,GADSDEN,AZ,GADSDEN ELEMENTARY DISTRICT,Transformation,847003,West
+26,EAST VALLEY HIGH SCHOOL,MESA,AZ,LEGACY EDUCATION GROUP,Turnaround,381512,West
+27,CRITTENTON YOUTH ACADEMY,PHOENIX,AZ,FLORENCE CRITTENTON SERVICES OF ARIZONA  INC.,Turnaround,915959,West
+28,ALCHESAY HIGH SCHOOL,WHITERIVER,AZ,WHITERIVER UNIFIED DISTRICT,Transformation,812195,West
+29,SAN CARLOS HIGH SCHOOL,SAN CARLOS,AZ,SAN CARLOS UNIFIED DISTRICT,Transformation,928654,West
+30,PIMA PARTNERSHIP SCHOOL  THE,TUCSON,AZ,PIMA PREVENTION PARTNERSHIP DBA PIMA PARTNERSHIP SCHOOL  THE,Turnaround,818238,West
+31,LA PUERTA HIGH SCHOOL,PHOENIX,AZ,OMEGA SCHOOLS D.B.A. OMEGA ACADEMY  INC.,Turnaround,634503,West
+32,PROJECT MORE HIGH SCHOOL,TUCSON,AZ,TUCSON UNIFIED DISTRICT,Transformation,836556,West
+33,PEACH SPRINGS SCHOOL,PEACH SPRINGS,AZ,PEACH SPRINGS UNIFIED DISTRICT,Transformation,880050,West
+34,WHITE CONE HIGH SCHOOL,WHITE CONE,AZ,CEDAR UNIFIED DISTRICT,Transformation,728696,West
+35,JAMES SANDOVAL PREPARATORY HIGH SCHOOL,PHOENIX,AZ,JAMES SANDOVAL PREPARATORY HIGH SCHOOL,Transformation,696668,West
+36,SEVEN MILE SCHOOL,WHITERIVER,AZ,WHITERIVER UNIFIED DISTRICT,Transformation,826589,West
+37,Rice Elementary School,San Carlos,AZ,San Carlos Unified District,Transformation,204246,West
+38,HOWENSTINE HIGH SCHOOL,TUCSON,AZ,TUCSON UNIFIED DISTRICT,Transformation,760314,West
+39,BABOQUIVARI HIGH SCHOOL,SELLS,AZ,INDIAN OASIS-BABOQUIVARI UNIFIED DISTRICT,Turnaround,558022,West
+40,IMAGINE ELEMENTARY AT CAMELBACK,PHOENIX,AZ,IMAGINE CHARTER ELEMENTARY AT CAMELBACK  INC.,Turnaround,696520,West
+41,MT TIPTON ELEMENTARY SCHOOL,DOLAN SPRINGS,AZ,KINGMAN UNIFIED SCHOOL DISTRICT,Transformation,565322,West
+42,CANYON DAY JUNIOR HIGH SCHOOL,WHITERIVER,AZ,WHITERIVER UNIFIED DISTRICT,Transformation,599344,West
+43,SELIGMAN HIGH SCHOOL,SELIGMAN,AZ,SELIGMAN UNIFIED DISTRICT,Turnaround,490954,West
+44,FREMONT MIDDLE,POMONA,CA,POMONA UNIFIED,Transformation,174245,West
+45,SIERRA INTERMEDIATE,SANTA ANA,CA,SANTA ANA UNIFIED,Transformation,181152,West
+46,LONGWOOD ELEMENTARY,HAYWARD,CA,HAYWARD UNIFIED,Turnaround,162698,West
+47,MCFARLAND HIGH,MCFARLAND,CA,MCFARLAND UNIFIED,Transformation,997852,West
+48,PACIFIC HIGH,SAN BERNARDINO,CA,SAN BERNARDINO CITY UNIFIED,Transformation,10000,West
+49,GREENFIELD ELEMENTARY,GREENFIELD,CA,GREENFIELD UNION ELEMENTARY,Transformation,743444,West
+50,TUMBLEWEED ELEMENTARY,PALMDALE,CA,PALMDALE ELEMENTARY,Turnaround,179933,West
+51,HILLSIDE ELEMENTARY,SAN LEANDRO,CA,SAN LORENZO UNIFIED,Transformation,530980,West
+52,FLORENCE GRIFFITH JOYNER ELEMENTARY,LOS ANGELES,CA,LOS ANGELES UNIFIED,Restart,188694,West
+53,SAN GORGONIO HIGH,SAN BERNARDINO,CA,SAN BERNARDINO CITY UNIFIED,Transformation,10000,West
+54,FONTANA A. B. MILLER HIGH,FONTANA,CA,FONTANA UNIFIED,Transformation,10000,West
+55,ELMHURST COMMUNITY PREP,OAKLAND,CA,OAKLAND UNIFIED,Transformation,121793,West
+56,PAUL REVERE ELEMENTARY,SAN FRANCISCO,CA,SAN FRANCISCO UNIFIED,Transformation,181577,West
+57,SAMUEL GOMPERS MIDDLE,LOS ANGELES,CA,LOS ANGELES UNIFIED,Restart,189201,West
+58,DAVIDSON ELEMENTARY,SAN BERNARDINO,CA,SAN BERNARDINO CITY UNIFIED,Transformation,148577,West
+59,PALM AVENUE ELEMENTARY,WASCO,CA,WASCO UNION ELEMENTARY,Transformation,148665,West
+60,SHORE ACRES ELEMENTARY,BAY POINT,CA,MT. DIABLO UNIFIED,Transformation,12252,West
+61,CESAR CHAVEZ ELEMENTARY,SAN FRANCISCO,CA,SAN FRANCISCO UNIFIED,Transformation,175737,West
+62,BUTTONWILLOW ELEMENTARY,BUTTONWILLOW,CA,BUTTONWILLOW UNION ELEMENTARY,Transformation,559268,West
+63,EDISON-RONALD MCNAIR INTERMEDIATE,EAST PALO ALTO,CA,RAVENSWOOD CITY ELEMENTARY,Turnaround,135806,West
+64,CENTURY HIGH,SANTA ANA,CA,SANTA ANA UNIFIED,Transformation,197223,West
+65,LAKESIDE ELEMENTARY,HANFORD,CA,LAKESIDE UNION ELEMENTARY,Transformation,913211,West
+66,KING/CHAVEZ ARTS ACADEMY,SAN DIEGO,CA,SAN DIEGO UNIFIED,Transformation,102906,West
+67,PHARIS F. FEDDE MIDDLE,HAWAIIAN GARDENS,CA,ABC UNIFIED,Transformation,10000,West
+68,SEASIDE HIGH,SEASIDE,CA,MONTEREY PENINSULA UNIFIED,Turnaround,159471,West
+69,ELLA ELEMENTARY,OLIVEHURST,CA,MARYSVILLE JOINT UNIFIED,Turnaround,180738,West
+70,WILSON ELEMENTARY,SAN BERNARDINO,CA,SAN BERNARDINO CITY UNIFIED,Turnaround,925749,West
+71,YOSEMITE MIDDLE,FRESNO,CA,FRESNO UNIFIED,Turnaround,173752,West
+72,T. S. MACQUIDDY ELEMENTARY,WATSONVILLE,CA,PAJARO VALLEY UNIFIED,Transformation,577030,West
+73,ENCINA PREPARATORY HIGH,SACRAMENTO,CA,SAN JUAN UNIFIED,Turnaround,102743,West
+74,EDWIN MARKHAM MIDDLE,LOS ANGELES,CA,LOS ANGELES UNIFIED,Restart,185886,West
+75,RIO VISTA ELEMENTARY,SAN BERNARDINO,CA,SAN BERNARDINO CITY UNIFIED,Transformation,142575,West
+76,FELICITA ELEMENTARY,ESCONDIDO,CA,ESCONDIDO UNION,Turnaround,171031,West
+77,UNITED FOR SUCCESS ACADEMY,OAKLAND,CA,OAKLAND UNIFIED,Transformation,128129,West
+78,MISSION HIGH,SAN FRANCISCO,CA,SAN FRANCISCO UNIFIED,Transformation,201467,West
+79,GARDENA SENIOR HIGH,GARDENA,CA,LOS ANGELES UNIFIED,Transformation,167368,West
+80,BARTON ELEMENTARY,SAN BERNARDINO,CA,SAN BERNARDINO CITY UNIFIED,Turnaround,10000,West
+81,ROSE FERRERO ELEMENTARY,SOLEDAD,CA,SOLEDAD UNIFIED,Turnaround,157616,West
+82,GEORGE WASHINGTON CARVER ELEMENTARY,SAN FRANCISCO,CA,SAN FRANCISCO UNIFIED,Turnaround,158151,West
+83,EASTSIDE HIGH,LANCASTER,CA,ANTELOPE VALLEY UNION HIGH,Transformation,10000,West
+84,GLENBROOK MIDDLE,CONCORD,CA,MT. DIABLO UNIFIED,Transformation,584002,West
+85,COSTANO ELEMENTARY,EAST PALO ALTO,CA,RAVENSWOOD CITY ELEMENTARY,Turnaround,135806,West
+86,WILLARD INTERMEDIATE,SANTA ANA,CA,SANTA ANA UNIFIED,Transformation,181152,West
+87,PESCADERO ELEMENTARY AND MIDDLE,PESCADERO,CA,LA HONDA-PESCADERO UNIFIED,Transformation,629711,West
+88,BURBANK ELEMENTARY,SAN DIEGO,CA,SAN DIEGO UNIFIED,Transformation,116423,West
+89,HIGHLANDS ACADEMY OF ARTS AND DESIGN,NORTH HIGHLANDS,CA,TWIN RIVERS UNIFIED,Transformation,184555,West
+90,MARTIN LUTHER KING,SEASIDE,CA,MONTEREY PENINSULA UNIFIED,Turnaround,126595,West
+91,BURBANK ELEMENTARY,HAYWARD,CA,HAYWARD UNIFIED,Transformation,158712,West
+92,EMERSON MIDDLE,POMONA,CA,POMONA UNIFIED,Transformation,152096,West
+93,SANTA ANA HIGH,SANTA ANA,CA,SANTA ANA UNIFIED,Transformation,197223,West
+94,MAYWOOD ACADEMY HIGH,MAYWOOD,CA,LOS ANGELES UNIFIED,Transformation,187692,West
+95,SHANDIN HILLS MIDDLE,SAN BERNARDINO,CA,SAN BERNARDINO CITY UNIFIED,Turnaround,10000,West
+96,WEBSTER ELEMENTARY,FRESNO,CA,FRESNO UNIFIED,Turnaround,17325,West
+97,HALL DISTRICT ELEMENTARY,WATSONVILLE,CA,PAJARO VALLEY UNIFIED,Transformation,630428,West
+98,EVERETT MIDDLE,SAN FRANCISCO,CA,SAN FRANCISCO UNIFIED,Turnaround,140557,West
+99,THOMAS JEFFERSON SENIOR HIGH,LOS ANGELES,CA,LOS ANGELES UNIFIED,Transformation,180068,West
+100,MARSHALL ELEMENTARY,SAN BERNARDINO,CA,SAN BERNARDINO CITY UNIFIED,Turnaround,194293,West
+101,SAN JUAN,SAN JUAN BAUTISTA,CA,AROMAS/SAN JUAN UNIFIED,Transformation,173426,West
+102,WEST SHORES HIGH,SALTON CITY,CA,COACHELLA VALLEY UNIFIED,Turnaround,126036,West
+103,EXPLORE MIDDLE,OAKLAND,CA,OAKLAND UNIFIED,Closure,49045,West
+104,JOHN MUIR ELEMENTARY,SAN FRANCISCO,CA,SAN FRANCISCO UNIFIED,Turnaround,148146,West
+105,LINCOLN ELEMENTARY,RICHMOND,CA,WEST CONTRA COSTA UNIFIED,Turnaround,122138,West
+106,SEMITROPIC ELEMENTARY,WASCO,CA,SEMITROPIC ELEMENTARY,Transformation,133333,West
+107,GEORGE WASHINGTON CARVER MIDDLE,LOS ANGELES,CA,LOS ANGELES UNIFIED,Restart,174824,West
+108,BRYANT ELEMENTARY,SAN FRANCISCO,CA,SAN FRANCISCO UNIFIED,Turnaround,155171,West
+109,LITTLEROCK HIGH,LITTLEROCK,CA,ANTELOPE VALLEY UNION HIGH,Transformation,17292,West
+110,BEL AIR ELEMENTARY,BAY POINT,CA,MT. DIABLO UNIFIED,Transformation,144166,West
+111,POMONA SENIOR HIGH,POMONA,CA,POMONA UNIFIED,Transformation,189832,West
+112,VALLEY HIGH,SANTA ANA,CA,SANTA ANA UNIFIED,Transformation,197223,West
+113,TENNYSON HIGH,HAYWARD,CA,HAYWARD UNIFIED,Transformation,179529,West
+114,HIGHLAND ELEMENTARY,SEASIDE,CA,MONTEREY PENINSULA UNIFIED,Turnaround,126595,West
+115,ARROYO VALLEY HIGH,SAN BERNARDINO,CA,SAN BERNARDINO CITY UNIFIED,Transformation,10000,West
+116,VISTA VERDE MIDDLE,GREENFIELD,CA,GREENFIELD UNION ELEMENTARY,Transformation,806917,West
+117,CACTUS MIDDLE,PALMDALE,CA,PALMDALE ELEMENTARY,Turnaround,184271,West
+118,SADDLEBACK HIGH,SANTA ANA,CA,SANTA ANA UNIFIED,Transformation,197223,West
+119,ROBERT LOUIS STEVENSON MIDDLE,LOS ANGELES,CA,LOS ANGELES UNIFIED,Restart,189229,West
+120,SERRANO MIDDLE,HIGHLAND,CA,SAN BERNARDINO CITY UNIFIED,Turnaround,179747,West
+121,CARVER ACADEMY,FRESNO,CA,FRESNO UNIFIED,Turnaround,105245,West
+122,CALABASAS ELEMENTARY,WATSONVILLE,CA,PAJARO VALLEY UNIFIED,Transformation,631759,West
+123,JOHN O'CONNELL ALTERNATIVE HIGH,SAN FRANCISCO,CA,SAN FRANCISCO UNIFIED,Transformation,163043,West
+124,HILLCREST DRIVE ELEMENTARY,LOS ANGELES,CA,LOS ANGELES UNIFIED,Transformation,189181,West
+125,HUNT ELEMENTARY,SAN BERNARDINO,CA,SAN BERNARDINO CITY UNIFIED,Turnaround,140097,West
+126,RIVERSIDE COUNTY COMMUNITY,RIVERSIDE,CA,RIVERSIDE COUNTY OFFICE OF EDUCATION,Transformation,141497,West
+127,CHUALAR ELEMENTARY,CHUALAR,CA,CHUALAR UNION ELEMENTARY,Transformation,233414,West
+128,RIO VISTA ELEMENTARY,BAY POINT,CA,MT. DIABLO UNIFIED,Transformation,443230,West
+129,HORACE MANN MIDDLE,SAN FRANCISCO,CA,SAN FRANCISCO UNIFIED,Transformation,125599,West
+130,STANFORD NEW SCHOOL,MENLO PARK,CA,RAVENSWOOD CITY ELEMENTARY,Transformation,105585,West
+131,CESAR ESTRADA CHAVEZ DUAL LANGUAGE IMMERSION CHART,SANTA BARBARA,CA,SANTA BARBARA ELEMENTARY,Transformation,388816,West
+132,JEFFERSON ELEMENTARY,LINDSAY,CA,LINDSAY UNIFIED,Turnaround,108247,West
+133,"BROWN, JR., (WILLIE L.) ELEMENTARY",SAN FRANCISCO,CA,SAN FRANCISCO UNIFIED,Closure,50000,West
+134,NORTE VISTA HIGH,RIVERSIDE,CA,ALVORD UNIFIED,Turnaround,187562,West
+135,MARCH MOUNTAIN HIGH,MORENO VALLEY,CA,MORENO VALLEY UNIFIED,Transformation,481154,West
+136,NORTH HIGH SCHOOL,DENVER,CO,SCHOOL DISTRICT NO. 1 IN THE COUNTY OF DENVER AND STATE OF C,Transformation,924081,West
+137,HASKIN ELEMENTARY SCHOOL,CENTER,CO,"CENTER CONSOLIDATED SCHOOL DISTRICT NO. 26 JT., OF THE COUNT",Transformation,539797,West
+138,RONCALLI MIDDLE SCHOOL,PUEBLO,CO,"PUEBLO, SCHOOL DISTRICT NO. 60, IN THE COUNTY OF PUEBLO AND",Transformation,674025,West
+139,CENTRAL HIGH SCHOOL,PUEBLO,CO,"PUEBLO, SCHOOL DISTRICT NO. 60, IN THE COUNTY OF PUEBLO AND",Transformation,852911,West
+140,MONTBELLO HIGH SCHOOL,DENVER,CO,SCHOOL DISTRICT NO. 1 IN THE COUNTY OF DENVER AND STATE OF C,Transformation,100778,West
+141,LAKE MIDDLE SCHOOL,DENVER,CO,SCHOOL DISTRICT NO. 1 IN THE COUNTY OF DENVER AND STATE OF C,Restart,619609,West
+142,HANSON ELEMENTARY SCHOOL,COMMERCE CITY,CO,SCHOOL DISTRICT N. 14 IN THE COUNTY OF ADAMS & STATE OF COLO,Transformation,641451,West
+143,LEMUEL PITTS MIDDLE SCHOOL,PUEBLO,CO,"PUEBLO, SCHOOL DISTRICT NO. 60, IN THE COUNTY OF PUEBLO AND",Turnaround,622865,West
+144,CLIFTON ELEMENTARY SCHOOL,CLIFTON,CO,MESA COUNTY VALLEY SCHOOL DISTRICT NO. 51,Transformation,821295,West
+145,RISHEL MIDDLE SCHOOL,DENVER,CO,SCHOOL DISTRICT NO. 1 IN THE COUNTY OF DENVER AND STATE OF C,Closure,13729,West
+146,GREENLEE K-8 SCHOOL,DENVER,CO,SCHOOL DISTRICT NO. 1 IN THE COUNTY OF DENVER AND STATE OF C,Turnaround,671148,West
+147,FORT LOGAN ELEMENTARY SCHOOL,ENGLEWOOD,CO,SHERIDAN SCHOOL DISTRICT NO. 2,Turnaround,728445,West
+148,JAMES H RISLEY MIDDLE SCHOOL,PUEBLO,CO,"PUEBLO, SCHOOL DISTRICT NO. 60, IN THE COUNTY OF PUEBLO AND",Turnaround,606822,West
+149,SKYLAND COMMUNITY HIGH SCHOOL,DENVER,CO,SCHOOL DISTRICT NO. 1 IN THE COUNTY OF DENVER AND STATE OF C,Closure,31935,West
+150,PHILIPS ELEMENTARY SCHOOL,DENVER,CO,SCHOOL DISTRICT NO. 1 IN THE COUNTY OF DENVER AND STATE OF C,Closure,32491,West
+151,GILPIN K-8 SCHOOL,DENVER,CO,SCHOOL DISTRICT NO. 1 IN THE COUNTY OF DENVER AND STATE OF C,Turnaround,374767,West
+152,YOUTH & FAMILY ACADEMY CHARTER,PUEBLO,CO,"PUEBLO, SCHOOL DISTRICT NO. 60, IN THE COUNTY OF PUEBLO AND",Transformation,481016,West
+153,FREED MIDDLE SCHOOL,PUEBLO,CO,"PUEBLO, SCHOOL DISTRICT NO. 60, IN THE COUNTY OF PUEBLO AND",Turnaround,595238,West
+154,NOEL MIDDLE SCHOOL,DENVER,CO,SCHOOL DISTRICT NO. 1 IN THE COUNTY OF DENVER AND STATE OF C,Transformation,825829,West
+155,BURNS SCHOOL,HARTFORD,CT,HARTFORD SCHOOL DISTRICT,Turnaround,430568,Northeast
+156,BARNUM SCHOOL,BRIDGEPORT,CT,BRIDGEPORT SCHOOL DISTRICT,Transformation,500000,Northeast
+157,KATHERINE BRENNAN SCHOOL,NEW HAVEN,CT,NEW HAVEN SCHOOL DISTRICT,Turnaround,590000,Northeast
+158,DR. RAMON E. BETANCES SCHOOL,HARTFORD,CT,HARTFORD SCHOOL DISTRICT,Turnaround,400000,Northeast
+159,STAMFORD ACADEMY,STAMFORD,CT,STAMFORD ACADEMY,Transformation,400000,Northeast
+160,JAMES HILLHOUSE HIGH SCHOOL,NEW HAVEN,CT,NEW HAVEN SCHOOL DISTRICT,Transformation,700000,Northeast
+161,MILNER SCHOOL,HARTFORD,CT,HARTFORD SCHOOL DISTRICT,Turnaround,430569,Northeast
+162,HARDING HIGH SCHOOL,BRIDGEPORT,CT,BRIDGEPORT SCHOOL DISTRICT,Restart,800000,Northeast
+163,NATCHAUG SCHOOL,WILLIMANTIC,CT,WINDHAM SCHOOL DISTRICT,Transformation,700000,Northeast
+164,HILL CENTRAL MUSIC ACADEMY,NEW HAVEN,CT,NEW HAVEN SCHOOL DISTRICT,Turnaround,590000,Northeast
+165,SAND SCHOOL,HARTFORD,CT,HARTFORD SCHOOL DISTRICT,Turnaround,400000,Northeast
+166,BASSICK HIGH SCHOOL,BRIDGEPORT,CT,BRIDGEPORT SCHOOL DISTRICT,Transformation,700000,Northeast
+167,WILBUR CROSS HIGH SCHOOL,NEW HAVEN,CT,NEW HAVEN SCHOOL DISTRICT,Transformation,700000,Northeast
+168,SMALLEY ACADEMY,NEW BRITAIN,CT,NEW BRITAIN SCHOOL DISTRICT,Transformation,700000,Northeast
+169,ANACOSTIA SHS,DISTRICT OF COLUMBIA,DC,DISTRICT OF COLUMBIA PUBLIC SCHOOLS,Restart,517340,
+170,BROWNE EC,DISTRICT OF COLUMBIA,DC,DISTRICT OF COLUMBIA PUBLIC SCHOOLS,Transformation,445400,
+171,DUNBAR SHS,DISTRICT OF COLUMBIA,DC,DISTRICT OF COLUMBIA PUBLIC SCHOOLS,Restart,517340,
+172,HAMILTON CENTER SPEC ED AT HAMILTON SCHOOL,DISTRICT OF COLUMBIA,DC,DISTRICT OF COLUMBIA PUBLIC SCHOOLS,Turnaround,330050,
+173,SPINGARN SHS,DISTRICT OF COLUMBIA,DC,DISTRICT OF COLUMBIA PUBLIC SCHOOLS,Transformation,619950,
+174,EASTERN SHS,DISTRICT OF COLUMBIA,DC,DISTRICT OF COLUMBIA PUBLIC SCHOOLS,Turnaround,189350,
+175,LUKE C. MOORE ACADEMY SHS,DISTRICT OF COLUMBIA,DC,DISTRICT OF COLUMBIA PUBLIC SCHOOLS,Turnaround,552658,
+176,PROSPECT LC,DISTRICT OF COLUMBIA,DC,DISTRICT OF COLUMBIA PUBLIC SCHOOLS,Transformation,180700,
+177,OPTIONS PCS,DISTRICT OF COLUMBIA,DC,OPTIONS PCS,Turnaround,541226,
+178,KENILWORTH ES,DISTRICT OF COLUMBIA,DC,DISTRICT OF COLUMBIA PUBLIC SCHOOLS,Restart,305325,
+179,SEAFORD SENIOR HIGH SCHOOL,SEAFORD,DE,SEAFORD SCHOOL DISTRICT,Transformation,630295,South
+180,MOUNT PLEASANT HIGH SCHOOL,WILMINGTON,DE,BRANDYWINE SCHOOL DISTRICT,Transformation,672921,South
+181,LITTLE RIVER ELEMENTARY SCHOOL,MIAMI,FL,DADE,Transformation,394739,South
+182,HARDEE SENIOR HIGH SCHOOL,WAUCHULA,FL,HARDEE,Transformation,733198,South
+183,MIAMI SOUTHRIDGE SENIOR HIGH,MIAMI,FL,DADE,Turnaround,115447,South
+184,POINCIANA HIGH SCHOOL,KISSIMMEE,FL,OSCEOLA,Transformation,660025,South
+185,EAST GADSDEN HIGH SCHOOL,HAVANA,FL,GADSDEN,Transformation,737977,South
+186,COLUMBIA HIGH SCHOOL,LAKE CITY,FL,COLUMBIA,Transformation,759293,South
+187,MIAMI JACKSON SENIOR HIGH SCHOOL,MIAMI,FL,DADE,Transformation,816787,South
+188,MEMORIAL MIDDLE SCHOOL,ORLANDO,FL,ORANGE,Transformation,652558,South
+189,LARKDALE ELEMENTARY SCHOOL,FORT LAUDERDALE,FL,BROWARD,Transformation,713746,South
+190,EDWARD H. WHITE HIGH SCHOOL,JACKSONVILLE,FL,DUVAL,Transformation,759293,South
+191,ST. JOHNS TECHNICAL HIGH SCHOOL,ST AUGUSTINE,FL,ST. JOHNS,Transformation,728868,South
+192,HOMESTEAD SENIOR HIGH SCHOOL,HOMESTEAD,FL,DADE,Transformation,845263,South
+193,LEESBURG HIGH SCHOOL,LEESBURG,FL,LAKE,Transformation,734298,South
+194,CHARLES W. DUVAL ELEMENTARY SCHOOL,GAINESVILLE,FL,ALACHUA,Transformation,759293,South
+195,SMART POPE LIVINGSTON ELEMENTARY,JACKSONVILLE,FL,DUVAL,Transformation,500000,South
+196,DIXIE M. HOLLINS HIGH SCHOOL,ST PETERSBURG,FL,PINELLAS,Transformation,500000,South
+197,DR. HENRY W. MACK/WEST LITTLE RIVER ELEMENTARY SCH,MIAMI,FL,DADE,Transformation,258108,South
+198,CENTRAL HIGH SCHOOL,BROOKSVILLE,FL,HERNANDO,Transformation,737052,South
+199,NORTH SHORE K-8,JACKSONVILLE,FL,DUVAL,Turnaround,711587,South
+200,GLADES CENTRAL HIGH SCHOOL,BELLE GLADE,FL,PALM BEACH,Transformation,666136,South
+201,NORTH MIAMI SENIOR HIGH SCHOOL,NORTH MIAMI,FL,DADE,Transformation,108015,South
+202,GATEWAY HIGH SCHOOL,KISSIMMEE,FL,OSCEOLA,Transformation,660025,South
+203,EDEN PARK ELEMENTARY SCHOOL,IMMOKALEE,FL,COLLIER,Transformation,617334,South
+204,WEST GADSDEN HIGH SCHOOL,GREENSBORO,FL,GADSDEN,Transformation,737977,South
+205,MIAMI EDISON SENIOR HIGH SCHOOL,MIAMI,FL,DADE,Turnaround,618351,South
+206,MADISON COUNTY HIGH SCHOOL,MADISON,FL,MADISON,Transformation,515138,South
+207,SUNLAND PARK ELEMENTARY SCHOOL,FORT LAUDERDALE,FL,BROWARD,Transformation,713746,South
+208,NATHAN B. FORREST HIGH SCHOOL,JACKSONVILLE,FL,DUVAL,Transformation,759293,South
+209,OSCAR J. POPE ELEMENTARY SCHOOL,LAKELAND,FL,POLK,Transformation,736088,South
+210,NORTH MIAMI MIDDLE SCHOOL,NORTH MIAMI,FL,DADE,Transformation,440823,South
+211,JEFFERSON COUNTY MIDDLE/HIGH SCHOOL,MONTICELLO,FL,JEFFERSON,Transformation,647552,South
+212,LONG BRANCH ELEMENTARY SCHOOL,JACKSONVILLE,FL,DUVAL,Turnaround,500000,South
+213,BOCA CIEGA HIGH SCHOOL,GULFPORT,FL,PINELLAS,Transformation,500000,South
+214,PINE VILLA ELEMENTARY SCHOOL,MIAMI,FL,DADE,Transformation,267620,South
+215,HERNANDO HIGH SCHOOL,BROOKSVILLE,FL,HERNANDO,Transformation,737052,South
+216,ANDREW JACKSON HIGH SCHOOL,JACKSONVILLE,FL,DUVAL,Turnaround,636816,South
+217,LAKE WORTH HIGH SCHOOL,LAKE WORTH,FL,PALM BEACH,Transformation,10496,South
+218,HOLMES ELEMENTARY SCHOOL,MIAMI,FL,DADE,Transformation,276644,South
+219,HAMILTON COUNTY HIGH SCHOOL,JASPER,FL,HAMILTON,Transformation,698427,South
+220,OAK RIDGE HIGH SCHOOL,ORLANDO,FL,ORANGE,Transformation,652965,South
+221,MIAMI NORTHWESTERN SENIOR HIGH,MIAMI,FL,DADE,Turnaround,796553,South
+222,IMMOKALEE HIGH SCHOOL,IMMOKALEE,FL,COLLIER,Transformation,567148,South
+223,WARRINGTON MIDDLE SCHOOL,PENSACOLA,FL,ESCAMBIA,Turnaround,759293,South
+224,MIAMI CENTRAL SENIOR HIGH SCHOOL,MIAMI,FL,DADE,Turnaround,784700,South
+225,WILLISTON HIGH SCHOOL,WILLISTON,FL,LEVY,Transformation,651787,South
+226,MARJORIE KINNAN RAWLINGS ELEMENTARY SCHOOL,GAINESVILLE,FL,ALACHUA,Transformation,627776,South
+227,WILLIAM M. RAINES HIGH SCHOOL,JACKSONVILLE,FL,DUVAL,Turnaround,676989,South
+228,LAKEWOOD HIGH SCHOOL,ST PETERSBURG,FL,PINELLAS,Transformation,500000,South
+229,MIAMI EDISON MIDDLE SCHOOL,MIAMI,FL,DADE,Turnaround,407497,South
+230,MIDDLETON HIGH SCHOOL,TAMPA,FL,HILLSBOROUGH,Transformation,759293,South
+231,JEAN RIBAULT HIGH SCHOOL,JACKSONVILLE,FL,DUVAL,Turnaround,713451,South
+232,RIDGEWOOD HIGH SCHOOL,NEW PORT RICHEY,FL,PASCO,Transformation,759293,South
+233,NORTH COUNTY ELEMENTARY SCHOOL,MIAMI GARDENS,FL,DADE,Turnaround,251911,South
+234,CLEWISTON HIGH SCHOOL,CLEWISTON,FL,HENDRY,Transformation,759293,South
+235,BOOKER T. WASHINGTON SENIOR HIGH,MIAMI,FL,DADE,Turnaround,644329,South
+236,CELEBRATION HIGH SCHOOL,CELEBRATION,FL,OSCEOLA,Transformation,660025,South
+237,FREDERICK R. DOUGLASS ELEMENTARY,MIAMI,FL,DADE,Turnaround,344819,South
+238,CENTRAL HAMILTON ELEMENTARY SCHOOL,JASPER,FL,HAMILTON,Transformation,518789,South
+239,EVANS HIGH SCHOOL,ORLANDO,FL,ORANGE,Transformation,652792,South
+240,MIAMI NORLAND SENIOR HIGH SCHOOL,MIAMI,FL,DADE,Turnaround,742472,South
+241,COCONUT CREEK HIGH SCHOOL,COCONUT CREEK,FL,BROWARD,Transformation,713746,South
+242,A. PHILIP RANDOLPH ACADEMIES,JACKSONVILLE,FL,DUVAL,Transformation,697645,South
+243,MIAMI CAROL CITY SENIOR HIGH,OPA-LOCKA,FL,DADE,Transformation,997322,South
+244,AMOS P. GODBY HIGH SCHOOL,TALLAHASSEE,FL,LEON,Transformation,628602,South
+245,HAWTHORNE MIDDLE/HIGH SCHOOL,HAWTHORNE,FL,ALACHUA,Transformation,635832,South
+246,NORTHWESTERN MIDDLE SCHOOL,JACKSONVILLE,FL,DUVAL,Transformation,500000,South
+247,GIBBS HIGH SCHOOL,ST PETERSBURG,FL,PINELLAS,Transformation,500000,South
+248,CHARLES R. DREW MIDDLE SCHOOL,MIAMI,FL,DADE,Turnaround,369914,South
+249,FRANKLIN MIDDLE MAGNET SCHOOL,TAMPA,FL,HILLSBOROUGH,Transformation,759293,South
+250,PAXON MIDDLE SCHOOL,JACKSONVILLE,FL,DUVAL,Turnaround,633527,South
+251,ROSENWALD ELEMENTARY SCHOOL,SOUTH BAY,FL,PALM BEACH,Transformation,506738,South
+252,BURKE COUNTY HIGH SCHOOL,WAYNESBORO,GA,BURKE COUNTY,Transformation,115158,South
+253,WILLIAM S. HUTCHINGS CAREER CENTER,MACON,GA,BIBB COUNTY,Transformation,955121,South
+254,LANEY HIGH SCHOOL,AUGUSTA,GA,RICHMOND COUNTY,Turnaround,115976,South
+255,CRIM HIGH SCHOOL,ATLANTA,GA,ATLANTA PUBLIC SCHOOLS,Transformation,11667,South
+256,PEACH COUNTY HIGH SCHOOL,FORT VALLEY,GA,PEACH COUNTY,Transformation,185136,South
+257,GRIFFIN HIGH SCHOOL,GRIFFIN,GA,SPALDING COUNTY,Transformation,144427,South
+258,DADE COUNTY HIGH SCHOOL,TRENTON,GA,DADE COUNTY,Transformation,942738,South
+259,GLENN HILLS HIGH SCHOOL,AUGUSTA,GA,RICHMOND COUNTY,Transformation,107896,South
+260,DOUGLASS HIGH SCHOOL,ATLANTA,GA,ATLANTA PUBLIC SCHOOLS,Transformation,788579,South
+261,JORDAN VOCATIONAL HIGH SCHOOL,COLUMBUS,GA,MUSCOGEE COUNTY,Transformation,146453,South
+262,DOOLY COUNTY HIGH SCHOOL,VIENNA,GA,DOOLY COUNTY,Transformation,139306,South
+263,BEACH HIGH SCHOOL,SAVANNAH,GA,CHATHAM COUNTY,Turnaround,122676,South
+264,RIDGELAND HIGH SCHOOL,ROSSVILLE,GA,WALKER COUNTY,Transformation,147015,South
+265,SOUTHWEST HIGH SCHOOL,MACON,GA,BIBB COUNTY,Transformation,119812,South
+266,JOSEY HIGH SCHOOL,AUGUSTA,GA,RICHMOND COUNTY,Transformation,102187,South
+267,GEORGIA SCHOOL FOR THE DEAF,CAVE SPRING,GA,STATE SCHOOLS,Transformation,101486,South
+268,SPENCER HIGH SCHOOL,COLUMBUS,GA,MUSCOGEE COUNTY,Transformation,164154,South
+269,MCNAIR HIGH SCHOOL,ATLANTA,GA,DEKALB COUNTY,Transformation,868746,South
+270,TEMPLE HIGH SCHOOL,TEMPLE,GA,CARROLL COUNTY,Transformation,105401,South
+271,RUTLAND HIGH SCHOOL,MACON,GA,BIBB COUNTY,Transformation,125013,South
+272,STEWART-QUITMAN HIGH SCHOOL,LUMPKIN,GA,STEWART COUNTY,Transformation,688641,South
+273,NORTHEAST HIGH SCHOOL,MACON,GA,BIBB COUNTY,Transformation,112362,South
+274,HAWKINSVILLE HIGH SCHOOL,HAWKINSVILLE,GA,PULASKI COUNTY,Transformation,902342,South
+275,ATLANTA AREA SCHOOL FOR THE DEAF,CLARKSTON,GA,STATE SCHOOLS,Transformation,663957,South
+276,HENRY COUNTY HIGH SCHOOL,MCDONOUGH,GA,HENRY COUNTY,Transformation,140653,South
+277,CLARKSTON HIGH SCHOOL,CLARKSTON,GA,DEKALB COUNTY,Transformation,876027,South
+278,WEEKS MIDDLE SCHOOL,DES MOINES,IA,DES MOINES INDEPENDENT COMM SCHOOL DISTRICT,Transformation,10000,Midwest
+279,NORTH HIGH SCHOOL,DES MOINES,IA,DES MOINES INDEPENDENT COMM SCHOOL DISTRICT,Transformation,10000,Midwest
+281,HOYT MIDDLE SCHOOL,DES MOINES,IA,DES MOINES INDEPENDENT COMM SCHOOL DISTRICT,Transformation,10000,Midwest
+282,JACK M LOGAN MIDDLE SCHOOL,WATERLOO,IA,WATERLOO COMM SCHOOL DISTRICT,Transformation,761197,Midwest
+284,MURTAUGH MIDDLE SCHOOL,MURTAUGH,ID,MURTAUGH JOINT DISTRICT,Transformation,209893,West
+289,JEFFERSON MIDDLE SCHOOL,CALDWELL,ID,CALDWELL DISTRICT,Transformation,286787,West
+290,THORNWOOD HIGH SCHOOL,SOUTH HOLLAND,IL,THORNTON TWP HSD 205,Transformation,170473,Midwest
+291,MANUAL HIGH SCHOOL,PEORIA,IL,PEORIA SD 150,Turnaround,122159,Midwest
+292,MARSHALL METROPOLITAN HIGH SCHOOL,CHICAGO,IL,CITY OF CHICAGO SD 299,Turnaround,195114,Midwest
+293,EGYPTIAN SR HIGH SCHOOL,TAMMS,IL,EGYPTIAN CUSD 5,Transformation,11848,Midwest
+294,HARPER HIGH SCHOOL,CHICAGO,IL,CITY OF CHICAGO SD 299,Turnaround,198187,Midwest
+295,THORNTON TOWNSHIP HIGH SCHOOL,HARVEY,IL,THORNTON TWP HSD 205,Transformation,170473,Midwest
+296,DEPUE HIGH SCHOOL,DEPUE,IL,DEPUE USD 103,Transformation,793604,Midwest
+297,FENGER ACADEMY HIGH SCHOOL,CHICAGO,IL,CITY OF CHICAGO SD 299,Turnaround,185042,Midwest
+298,THORNRIDGE HIGH SCHOOL,DOLTON,IL,THORNTON TWP HSD 205,Transformation,170473,Midwest
+299,PHILLIPS ACADEMY HIGH SCHOOL,CHICAGO,IL,CITY OF CHICAGO SD 299,Restart,179737,Midwest
+300,BENDIX SCHOOL,SOUTH BEND,IN,SOUTH BEND COMMUNITY SCH CORP,Transformation,113677,Midwest
+301,GLENWOOD MIDDLE SCHOOL,EVANSVILLE,IN,EVANSVILLE-VANDERBURGH SCH CORP,Transformation,199941,Midwest
+302,GEORGE WASHINGTON COMMUNITY,INDIANAPOLIS,IN,INDIANAPOLIS PUBLIC SCHOOLS,Turnaround,198496,Midwest
+303,INDIANAPOLIS METROPOLITAN HIGH SCH,INDIANAPOLIS,IN,INDIANAPOLIS METROPOLITAN HIGH SCH,Transformation,735737,Midwest
+304,JOHN MARSHALL COMMUNITY HIGH SCH,INDIANAPOLIS,IN,INDIANAPOLIS PUBLIC SCHOOLS,Turnaround,191676,Midwest
+305,THE CHALLENGE FOUNDATION ACADEMY,INDIANAPOLIS,IN,CHALLENGE FOUNDATION ACADEMY,Transformation,552282,Midwest
+306,HAMMOND HIGH SCHOOL,HAMMOND,IN,SCHOOL CITY OF HAMMOND,Turnaround,199958,Midwest
+307,EMERSON ELEM,KANSAS CITY,KS,KANSAS CITY,Turnaround,108003,Midwest
+308,HIGHLAND PARK HIGH,TOPEKA,KS,TOPEKA PUBLIC SCHOOLS,Transformation,197018,Midwest
+309,SOUTH EAST HIGH,CHEROKEE,KS,CHEROKEE,Transformation,764280,Midwest
+310,LIBERAL  SOUTH MIDDLE,LIBERAL,KS,LIBERAL,Transformation,180378,Midwest
+311,NORTHWEST MIDDLE,KANSAS CITY,KS,KANSAS CITY,Transformation,18984,Midwest
+312,CURTIS MIDDLE SCHOOL,WICHITA,KS,WICHITA,Transformation,10000,Midwest
+313,WESTERN MIDDLE SCHOOL,LOUISVILLE,KY,JEFFERSON COUNTY,Turnaround,429176,South
+314,VALLEY TRADITIONAL HIGH SCHOOL,LOUISVILLE,KY,JEFFERSON COUNTY,Turnaround,588932,South
+315,METCALFE COUNTY HIGH SCHOOL,EDMONTON,KY,METCALFE COUNTY,Transformation,433993,South
+316,SHAWNEE HIGH SCHOOL MAGNET CAREER ACADEM,LOUISVILLE,KY,JEFFERSON COUNTY,Turnaround,437283,South
+317,FERN CREEK TRADITIONAL HIGH SCHOOL,LOUISVILLE,KY,JEFFERSON COUNTY,Turnaround,559459,South
+318,LESLIE COUNTY HIGH SCHOOL,HYDEN,KY,LESLIE COUNTY,Transformation,498795,South
+319,ROBERT FROST MIDDLE SCHOOL,VALLEY STATION,KY,JEFFERSON COUNTY,Turnaround,437283,South
+320,CAVERNA HIGH SCHOOL,HORSE CAVE,KY,CAVERNA INDEPENDENT,Transformation,395523,South
+321,LAWRENCE COUNTY HIGH SCHOOL,LOUISA,KY,LAWRENCE COUNTY,Transformation,808211,South
+322,WESTERN MST MAGNET HIGH SCHOOL,LOUISVILLE,KY,JEFFERSON COUNTY,Turnaround,437283,South
+325,CHELSEA HIGH,CHELSEA,MA,CHELSEA,Transformation,748937,Northeast
+326,THE ENGLISH HIGH,BOSTON,MA,BOSTON,Transformation,927362,Northeast
+327,ELIHU GREENWOOD,HYDE PARK,MA,BOSTON,Transformation,427239,Northeast
+328,ORCHARD GARDENS,ROXBURY,MA,BOSTON,Turnaround,110786,Northeast
+329,PAUL A DEVER,DORCHESTER,MA,BOSTON,Turnaround,863413,Northeast
+330,DEARBORN,ROXBURY,MA,BOSTON,Transformation,420721,Northeast
+331,HARBOR SCHOOL,BOSTON,MA,BOSTON,Turnaround,586623,Northeast
+332,JOHN P HOLLAND,DORCHESTER,MA,BOSTON,Transformation,918500,Northeast
+333,BLACKSTONE,BOSTON,MA,BOSTON,Turnaround,743593,Northeast
+334,M MARCUS KILEY MIDDLE,SPRINGFIELD,MA,SPRINGFIELD,Transformation,767986,Northeast
+335,WILLIAM MONROE TROTTER,DORCHESTER,MA,BOSTON,Turnaround,518312,Northeast
+336,JOHN F KENNEDY,JAMAICA PLAIN,MA,BOSTON,Transformation,407794,Northeast
+337,THURGOOD MARSHALL MIDDLE SCHOOL,TEMPLE HILLS,MD,PRINCE GEORGE'S COUNTY PUBLIC SCHOOLS,Turnaround,773922,South
+338,WILLIAM C. MARCH MIDDLE,BALTIMORE,MD,BALTIMORE CITY PUBLIC SCHOOLS,Restart,956457,South
+339,CHINQUAPIN MIDDLE,BALTIMORE,MD,BALTIMORE CITY PUBLIC SCHOOLS,Restart,465091,South
+340,BENJAMIN STODDERT MIDDLE,TEMPLE HILLS,MD,PRINCE GEORGE'S COUNTY PUBLIC SCHOOLS,Turnaround,773922,South
+341,AUGUSTA FELLS SAVAGE INSTITUTE OF VISUAL ARTS,BALTIMORE,MD,BALTIMORE CITY PUBLIC SCHOOLS,Turnaround,128848,South
+342,CALVERTON,BALTIMORE,MD,BALTIMORE CITY PUBLIC SCHOOLS,Restart,177759,South
+343,G. JAMES GHOLSON MIDDLE,LANDOVER,MD,PRINCE GEORGE'S COUNTY PUBLIC SCHOOLS,Turnaround,831888,South
+344,GARRISON MIDDLE,BALTIMORE,MD,BALTIMORE CITY PUBLIC SCHOOLS,Restart,120707,South
+345,BOOKER T. WASHINGTON MIDDLE,BALTIMORE,MD,BALTIMORE CITY PUBLIC SCHOOLS,Turnaround,928355,South
+346,DREW FREEMAN MIDDLE,SUITLAND,MD,PRINCE GEORGE'S COUNTY PUBLIC SCHOOLS,Turnaround,773922,South
+347,COMMODORE JOHN ROGERS ELEMENTARY,BALTIMORE,MD,BALTIMORE CITY PUBLIC SCHOOLS,Restart,102706,South
+354,LESSENGER ELEMENTARY-MIDDLE SCHOOL,DETROIT,MI,DETROIT CITY SCHOOL DISTRICT,Turnaround,148488,Midwest
+355,E.A. JOHNSON MEMORIAL H.S.,MOUNT MORRIS,MI,MT. MORRIS CONSOLIDATED SCHOOLS,Transformation,679699,Midwest
+356,BUCHANAN HIGH SCHOOL,BUCHANAN,MI,BUCHANAN COMMUNITY SCHOOLS,Transformation,121632,Midwest
+357,WESTWOOD MIDDLE SCHOOL,GRAND RAPIDS,MI,GRAND RAPIDS PUBLIC SCHOOLS,Turnaround,171133,Midwest
+358,ALGER MIDDLE SCHOOL,GRAND RAPIDS,MI,GRAND RAPIDS PUBLIC SCHOOLS,Turnaround,171133,Midwest
+359,WALDRON MIDDLE SCHOOL,WALDRON,MI,WALDRON AREA SCHOOLS,Transformation,273500,Midwest
+360,WHITE ELEMENTARY SCHOOL,HAMTRAMCK,MI,DETROIT CITY SCHOOL DISTRICT,Transformation,122853,Midwest
+361,ARTHUR HILL HIGH SCHOOL,SAGINAW,MI,SAGINAW CITY SCHOOL DISTRICT,Transformation,164933,Midwest
+362,MT. CLEMENS HIGH SCHOOL,MOUNT CLEMENS,MI,MT. CLEMENS COMMUNITY SCHOOL DISTRICT,Transformation,751945,Midwest
+363,ADRIAN HIGH SCHOOL,ADRIAN,MI,ADRIAN CITY SCHOOL DISTRICT,Transformation,948838,Midwest
+364,UNION HIGH SCHOOL,GRAND RAPIDS,MI,GRAND RAPIDS PUBLIC SCHOOLS,Transformation,190709,Midwest
+365,LEE HIGH SCHOOL,WYOMING,MI,GODFREY-LEE PUBLIC SCHOOLS,Transformation,894861,Midwest
+366,LINCOLN HIGH SCHOOL,WARREN,MI,VAN DYKE PUBLIC SCHOOLS,Transformation,416177,Midwest
+367,SOUTHWESTERN HIGH SCHOOL,DETROIT,MI,DETROIT CITY SCHOOL DISTRICT,Turnaround,135109,Midwest
+368,ROMULUS MIDDLE SCHOOL,ROMULUS,MI,ROMULUS COMMUNITY SCHOOLS,Transformation,199852,Midwest
+369,FARWELL MIDDLE SCHOOL,DETROIT,MI,DETROIT CITY SCHOOL DISTRICT,Turnaround,602552,Midwest
+370,INKSTER HIGH SCHOOL,INKSTER,MI,SCHOOL DISTRICT OF THE CITY OF INKSTER,Turnaround,16228,Midwest
+371,WESTON PREPARATORY ACADEMY,DETROIT,MI,WESTON PREPARATORY ACADEMY,Transformation,704180,Midwest
+372,OTTAWA HILLS HIGH SCHOOL,GRAND RAPIDS,MI,GRAND RAPIDS PUBLIC SCHOOLS,Transformation,190709,Midwest
+373,FITZGERALD SENIOR HIGH SCHOOL,WARREN,MI,FITZGERALD PUBLIC SCHOOLS,Transformation,447461,Midwest
+374,SPRINGPORT HIGH SCHOOL,SPRINGPORT,MI,SPRINGPORT PUBLIC SCHOOLS,Transformation,774100,Midwest
+375,NOLAN ELEMENTARY SCHOOL,HIGHLAND PARK,MI,DETROIT CITY SCHOOL DISTRICT,Transformation,121554,Midwest
+376,OAK PARK HIGH SCHOOL,OAK PARK,MI,OAK PARK CITY SCHOOL DISTRICT,Turnaround,196658,Midwest
+377,BUENA VISTA HIGH SCHOOL,SAGINAW,MI,BUENA VISTA SCHOOL DISTRICT,Transformation,815637,Midwest
+378,GRANT HIGH SCHOOL,GRANT,MI,GRANT PUBLIC SCHOOL DISTRICT,Transformation,552326,Midwest
+379,GERALD R. FORD MIDDLE SCHOOL,GRAND RAPIDS,MI,GRAND RAPIDS PUBLIC SCHOOLS,Turnaround,144344,Midwest
+380,PHOENIX ELEMENTARY,DETROIT,MI,DETROIT CITY SCHOOL DISTRICT,Turnaround,811102,Midwest
+381,THOMPSON MIDDLE SCHOOL,SAGINAW,MI,SAGINAW CITY SCHOOL DISTRICT,Transformation,125917,Midwest
+382,WELLSTONE INTERNATIONAL HIGH,MINNEAPOLIS,MN,MINNEAPOLIS PUBLIC SCHOOL DIST.,Transformation,528276,Midwest
+383,EDISON SENIOR HIGH,MINNEAPOLIS,MN,MINNEAPOLIS PUBLIC SCHOOL DIST.,Turnaround,878276,Midwest
+384,CASS LAKE-BENA SECONDARY,CASS LAKE,MN,CASS LAKE-BENA PUBLIC SCHOOLS,Transformation,529518,Midwest
+385,MAXFIELD MAGNET ELEMENTARY,ST. PAUL,MN,ST. PAUL PUBLIC SCHOOL DISTRICT,Transformation,600000,Midwest
+386,NORTH VIEW IB WORLD SCHOOL,BROOKLYN PARK,MN,OSSEO PUBLIC SCHOOL DISTRICT,Transformation,850000,Midwest
+387,BETHUNE ELEMENTARY,MINNEAPOLIS,MN,MINNEAPOLIS PUBLIC SCHOOL DIST.,Transformation,528276,Midwest
+388,BROOKLYN CENTER SECONDARY,BROOKLYN CENTER,MN,BROOKLYN CENTER SCHOOL DISTRICT,Transformation,700000,Midwest
+389,HUMBOLDT SENIOR HIGH,ST. PAUL,MN,ST. PAUL PUBLIC SCHOOL DISTRICT,Turnaround,850000,Midwest
+390,OGILVIE SECONDARY,OGILVIE,MN,OGILVIE PUBLIC SCHOOL DISTRICT,Transformation,561111,Midwest
+391,BROADWAY ARTS & TECHNOLOGY,MINNEAPOLIS,MN,MINNEAPOLIS PUBLIC SCHOOL DIST.,Transformation,403276,Midwest
+392,ISLE SECONDARY,ISLE,MN,ISLE PUBLIC SCHOOL DISTRICT,Transformation,500000,Midwest
+393,BRAHAM AREA SECONDARY,BRAHAM,MN,BRAHAM PUBLIC SCHOOL DISTRICT,Transformation,658042,Midwest
+394,RED LAKE SENIOR HIGH,RED LAKE,MN,RED LAKE PUBLIC SCHOOL DISTRICT,Transformation,561543,Midwest
+395,HMONG INTERNATIONAL ACADEMY,MINNEAPOLIS,MN,MINNEAPOLIS PUBLIC SCHOOL DIST.,Transformation,528276,Midwest
+396,LUCY LANEY @ CLEVELAND PARK ELEM.,MINNEAPOLIS,MN,MINNEAPOLIS PUBLIC SCHOOL DIST.,Turnaround,728276,Midwest
+397,EAST CENTRAL SENIOR SECONDARY,FINLAYSON,MN,EAST CENTRAL SCHOOL DISTRICT,Transformation,500237,Midwest
+398,WAUBUN SECONDARY,WAUBUN,MN,WAUBUN PUBLIC SCHOOL DISTRICT,Transformation,700000,Midwest
+399,NEW VISIONS CHARTER SCHOOL,MINNEAPOLIS,MN,NEW VISIONS CHARTER SCHOOL,Transformation,556636,Midwest
+400,PONEMAH ELEMENTARY,PONEMAH,MN,RED LAKE PUBLIC SCHOOL DISTRICT,Transformation,471654,Midwest
+401,NORMANDY MIDDLE,ST LOUIS,MO,NORMANDY,Transformation,425300,Midwest
+402,COLUMBIA ELEM. COMM. ED. CTR.,ST LOUIS,MO,ST. LOUIS CITY,Turnaround,356608,Midwest
+403,CENTRAL HIGH,KANSAS CITY,MO,KANSAS CITY 33,Transformation,806900,Midwest
+404,MANN ELEM.,ST LOUIS,MO,ST. LOUIS CITY,Turnaround,380419,Midwest
+405,EAST MIDDLE,ST LOUIS,MO,HAZELWOOD,Turnaround,172251,Midwest
+406,HAMILTON ELEM. COMMUNITY ED.,ST LOUIS,MO,ST. LOUIS CITY,Turnaround,363928,Midwest
+407,CARUTHERSVILLE MIDDLE,CARUTHERSVILLE,MO,CARUTHERSVILLE 18,Transformation,379564,Midwest
+408,R. G. CENTRAL MIDDLE,ST LOUIS,MO,RIVERVIEW GARDENS,Turnaround,199415,Midwest
+409,GENESIS SCHOOL INC.,KANSAS CITY,MO,GENESIS SCHOOL INC.,Turnaround,250120,Midwest
+410,WALBRIDGE ELEM. COMMUNITY ED.,ST LOUIS,MO,ST. LOUIS CITY,Turnaround,377942,Midwest
+411,JENNINGS JR. HIGH,JENNINGS,MO,JENNINGS,Transformation,364226,Midwest
+412,LANGSTON MIDDLE,ST LOUIS,MO,ST. LOUIS CITY,Transformation,436579,Midwest
+413,HAYTI HIGH,HAYTI,MO,HAYTI R-II,Transformation,10302,Midwest
+414,FANNING MIDDLE COMMUNITY ED.,ST LOUIS,MO,ST. LOUIS CITY,Transformation,444175,Midwest
+415,CONSTRUCTION CAREERS CENTER,ST LOUIS,MO,CONSTRUCTION CAREERS CENTER,Transformation,533168,Midwest
+416,RIVERVIEW GARDENS SR. HIGH,ST LOUIS,MO,RIVERVIEW GARDENS,Turnaround,512669,Midwest
+417,B. BANNEKER ACADEMY,KANSAS CITY,MO,B. BANNEKER ACADEMY,Turnaround,912903,Midwest
+418,VAN HORN HS AT EAST,KANSAS CITY,MO,KANSAS CITY 33,Transformation,806900,Midwest
+419,VASHON HIGH,ST LOUIS,MO,ST. LOUIS CITY,Turnaround,399827,Midwest
+420,SMITH-HALE JR. HIGH,KANSAS CITY,MO,HICKMAN MILLS C-1,Transformation,169925,Midwest
+421,L'OUVERTURE MIDDLE,ST LOUIS,MO,ST. LOUIS CITY,Transformation,441804,Midwest
+422,MCCLUER SOUTH-BERKELEY HIGH,FERGUSON,MO,FERGUSON-FLORISSANT R-II,Transformation,407822,Midwest
+423,ASHLAND ELEM. AND BR.,ST LOUIS,MO,ST. LOUIS CITY,Turnaround,353737,Midwest
+424,ALTA VISTA CHARTER SCH.,KANSAS CITY,MO,ALTA VISTA CHARTER SCH.,Transformation,256538,Midwest
+425,NORMANDY HIGH,ST LOUIS,MO,NORMANDY,Transformation,402089,Midwest
+426,NORTHEAST HIGH,KANSAS CITY,MO,KANSAS CITY 33,Transformation,806900,Midwest
+427,SIGEL ELEM. COMM. ED. CTR.,ST LOUIS,MO,ST. LOUIS CITY,Turnaround,382436,Midwest
+428,ERVIN JR. HIGH,KANSAS CITY,MO,HICKMAN MILLS C-1,Closure,46872,Midwest
+429,JEFFERSON ELEM.,ST LOUIS,MO,ST. LOUIS CITY,Transformation,340193,Midwest
+430,BERKELEY MIDDLE,BERKELEY,MO,FERGUSON-FLORISSANT R-II,Transformation,307826,Midwest
+431,WESTVIEW MIDDLE,ST LOUIS,MO,RIVERVIEW GARDENS,Turnaround,199415,Midwest
+432,URBAN COM. LEADERSHIP ACADEMY,KANSAS CITY,MO,URBAN COM. LEADERSHIP ACADEMY,Turnaround,966394,Midwest
+433,LEFLORE COUNTY HIGH SCHOOL,ITTA BENA,MS,LEFLORE CO SCHOOL DIST,Transformation,10000,South
+434,HAZLEHURST HIGH SCHOOL,HAZLEHURST,MS,HAZLEHURST CITY SCHOOL DISTRICT,Transformation,12061,South
+435,WINGFIELD HIGH SCHOOL,JACKSON,MS,JACKSON PUBLIC SCHOOL DIST,Transformation,174731,South
+436,W A HIGGINS MIDDLE SCHOOL,CLARKSDALE,MS,CLARKSDALE MUNICIPAL SCHOOL DIST,Transformation,10000,South
+437,GENTRY HIGH SCHOOL,INDIANOLA,MS,INDIANOLA SCHOOL DIST,Transformation,129091,South
+438,PORT GIBSON HIGH SCHOOL,PORT GIBSON,MS,CLAIBORNE CO SCHOOL DIST,Transformation,10000,South
+439,NORTH PANOLA HIGH SCHOOL,SARDIS,MS,NORTH PANOLA SCHOOLS,Transformation,790586,South
+440,HAZLEHURST MIDDLE SCHOOL,HAZLEHURST,MS,HAZLEHURST CITY SCHOOL DISTRICT,Transformation,143209,South
+441,PLENTY COUPS HIGH SCHOOL,PRYOR,MT,PLENTY COUPS H S,Transformation,380711,West
+442,PRYOR 7-8,PRYOR,MT,PRYOR ELEM,Transformation,134368,West
+443,FRAZER HIGH SCHOOL,FRAZER,MT,FRAZER H S,Transformation,799203,West
+444,PRYOR ELEM SCHOOL,PRYOR,MT,PRYOR ELEM,Transformation,380711,West
+445,LAME DEER HIGH SCHOOL,LAME DEER,MT,LAME DEER H S,Transformation,137653,West
+446,LODGE GRASS HIGH SCHOOL,LODGE GRASS,MT,LODGE GRASS H S,Transformation,129044,West
+447,KENNEDY LEARNING,WINSTON SALEM,NC,FORSYTH COUNTY SCHOOLS,Transformation,504908,South
+448,BURKE ALTERNATIVE SCHOOL,MORGANTON,NC,BURKE COUNTY SCHOOLS,Transformation,316901,South
+449,LUMBERTON SENIOR HIGH,LUMBERTON,NC,ROBESON COUNTY SCHOOLS,Transformation,10000,South
+450,SOUTH CENTRAL HIGH,WINTERVILLE,NC,PITT COUNTY SCHOOLS,Transformation,946400,South
+451,WEST MECKLENBURG HIGH,CHARLOTTE,NC,CHARLOTTE-MECKLENBURG SCHOOLS,Transformation,879391,South
+452,OAK HILL ELEMENTARY,HIGH POINT,NC,GUILFORD COUNTY SCHOOLS,Turnaround,954735,South
+453,BUNCOMBE COMMUNITY-EAST,SWANNANOA,NC,BUNCOMBE COUNTY SCHOOLS,Turnaround,11651,South
+454,FAIRMONT HIGH,FAIRMONT,NC,ROBESON COUNTY SCHOOLS,Transformation,903372,South
+455,NORTH PITT HIGH,BETHEL,NC,PITT COUNTY SCHOOLS,Transformation,728000,South
+456,CATAWBA VALLEY HIGH,HICKORY,NC,HICKORY CITY SCHOOLS,Turnaround,109594,South
+457,WARLICK SCHOOL,GASTONIA,NC,GASTON COUNTY SCHOOLS,Turnaround,766415,South
+458,DURHAM'S PERFORMANCE LEARNING,DURHAM,NC,DURHAM PUBLIC SCHOOLS,Transformation,883395,South
+459,GOLDSBORO HIGH,GOLDSBORO,NC,WAYNE COUNTY PUBLIC SCHOOLS,Transformation,962048,South
+460,BRUNSWICK LEARNING CENTER,SOUTHPORT,NC,BRUNSWICK COUNTY SCHOOLS,Transformation,665360,South
+461,W L GREENE ALTERNATIVE,NASHVILLE,NC,NASH-ROCKY MOUNT SCHOOLS,Transformation,421116,South
+462,FARMVILLE CENTRAL HIGH,FARMVILLE,NC,PITT COUNTY SCHOOLS,Transformation,618800,South
+463,SOUTHEAST HALIFAX HIGH,HALIFAX,NC,HALIFAX COUNTY SCHOOLS,Transformation,11709,South
+464,PETREE ELEMENTARY,WINSTON-SALEM,NC,FORSYTH COUNTY SCHOOLS,Turnaround,100491,South
+466,HENDERSON INDEPENDENT HIGH,SALISBURY,NC,ROWAN-SALISBURY SCHOOLS,Turnaround,816000,South
+467,ANSON CHALLENGE ACADEMY,WADESBORO,NC,ANSON COUNTY SCHOOLS,Restart,730689,South
+468,E E WADDELL HIGH,CHARLOTTE,NC,CHARLOTTE-MECKLENBURG SCHOOLS,Transformation,693605,South
+469,WALKER-SPIVEY,FAYETTEVILLE,NC,CUMBERLAND COUNTY SCHOOLS,Transformation,630752,South
+470,ENFIELD MIDDLE,ENFIELD,NC,HALIFAX COUNTY SCHOOLS,Transformation,870080,South
+471,MANDAREE HIGH SCHOOL,MANDAREE,ND,MANDAREE 36,Transformation,418574,Midwest
+472,SANTEE ELEMENTARY SCHOOL,NIOBRARA,NE,SANTEE COMMUNITY SCHOOLS,Transformation,510953,Midwest
+473,CRAWFORD ELEMENTARY SCHOOL,CRAWFORD,NE,CRAWFORD PUBLIC SCHOOLS,Transformation,429450,Midwest
+474,MINATARE ELEMENTARY SCHOOL,MINATARE,NE,MINATARE PUBLIC SCHOOLS,Transformation,474603,Midwest
+475,WINNEBAGO HIGH SCHOOL,WINNEBAGO,NE,WINNEBAGO PUBLIC SCHOOLS,Transformation,724045,Midwest
+476,MADISON ELEMENTARY SCHOOL,MADISON,NE,MADISON PUBLIC SCHOOLS,Transformation,465550,Midwest
+477,SANTEE HIGH SCHOOL,NIOBRARA,NE,SANTEE COMMUNITY SCHOOLS,Transformation,542500,Midwest
+478,ELLIOTT ELEMENTARY SCHOOL,LINCOLN,NE,LINCOLN PUBLIC SCHOOLS,Transformation,930978,Midwest
+479,PITTSFIELD HIGH SCHOOL,PITTSFIELD,NH,PITTSFIELD SCHOOL DISTRICT,Transformation,344358,Northeast
+480,NUTE HIGH SCHOOL,MILTON,NH,MILTON SCHOOL DISTRICT,Transformation,421278,Northeast
+481,SOUTHSIDE MIDDLE SCHOOL,MANCHESTER,NH,MANCHESTER SCHOOL DISTRICT,Transformation,346179,Northeast
+482,NUTE JUNIOR HIGH SCHOOL,MILTON,NH,MILTON SCHOOL DISTRICT,Transformation,337678,Northeast
+483,PARKER-VARNEY SCHOOL,MANCHESTER,NH,MANCHESTER SCHOOL DISTRICT,Transformation,444472,Northeast
+484,PITTSFIELD MIDDLE SCHOOL,PITTSFIELD,NH,PITTSFIELD SCHOOL DISTRICT,Transformation,344358,Northeast
+485,GOSSLER PARK SCHOOL,MANCHESTER,NH,MANCHESTER SCHOOL DISTRICT,Transformation,423281,Northeast
+486,ESSEX CTY VOC-WEST CALDW,WEST CALDWELL,NJ,ESSEX COUNTY VOCATIONAL S,Transformation,526481,Northeast
+487,DAYTON ST,NEWARK,NJ,NEWARK,Transformation,166069,Northeast
+488,RENAISSANCE ACADEMY,NEWARK,NJ,NEWARK,Restart,17529,Northeast
+489,U S WIGGINS,CAMDEN,NJ,CAMDEN CITY,Transformation,108077,Northeast
+490,MALCOLM X SHABAZZ HIGH,NEWARK,NJ,NEWARK,Turnaround,179302,Northeast
+491,FRED W  MARTIN #41,JERSEY CITY,NJ,JERSEY CITY,Turnaround,199968,Northeast
+492,CRAMER,CAMDEN,NJ,CAMDEN CITY,Transformation,111495,Northeast
+493,TRENTON CENTRAL HIGH,TRENTON,NJ,TRENTON,Transformation,159639,Northeast
+494,NEWARK VOCATIONAL H S,NEWARK,NJ,NEWARK,Transformation,136924,Northeast
+495,HENRY SNYDER,JERSEY CITY,NJ,JERSEY CITY,Turnaround,199315,Northeast
+496,ABRAHAM CLARK HIGH,ROSELLE,NJ,ROSELLE BOROUGH,Transformation,160469,Northeast
+497,CENTRAL,NEWARK,NJ,NEWARK,Transformation,193035,Northeast
+498,R. SARRACINO MIDDLE,SOCORRO,NM,SOCORRO CONSOLIDATED SCHOOLS,Transformation,975000,West
+499,LAGUNA-ACOMA HIGH,NEW LAGUNA,NM,GRANTS-CIBOLA COUNTY SCHOOLS,Transformation,10000,West
+500,EL CAMINO REAL ACADEMY,ALBUQUERQUE,NM,ALBUQUERQUE PUBLIC SCHOOLS,Transformation,10000,West
+502,CROWNPOINT HIGH,CROWNPOINT,NM,GALLUP-MCKINLEY CTY SCHOOLS,Transformation,10000,West
+503,ERNIE PYLE MIDDLE,ALBUQUERQUE,NM,ALBUQUERQUE PUBLIC SCHOOLS,Transformation,10000,West
+505,RAMIREZ THOMAS ELEM,SANTA FE,NM,SANTA FE PUBLIC SCHOOLS,Turnaround,10000,West
+506,NEWCOMB HIGH,NEWCOMB,NM,CENTRAL CONSOLIDATED SCHOOLS,Transformation,10000,West
+508,LYBROOK ELEMENTARY,CUBA,NM,JEMEZ MOUNTAIN PUBLIC SCHOOLS,Transformation,500000,West
+509,NASCHITTI ELEMENTARY,SHEEP SPRINGS,NM,CENTRAL CONSOLIDATED SCHOOLS,Transformation,500000,West
+511,ECHO LODER ELEMENTARY SCHOOL,RENO,NV,WASHOE COUNTY SCHOOL DISTRICT,Transformation,424326,West
+512,RANCHO HIGH SCHOOL,NORTH LAS VEGAS,NV,CLARK COUNTY SCHOOL DISTRICT,Transformation,100202,West
+513,WILLIAM O'BRIEN MIDDLE SCHOOL,RENO,NV,WASHOE COUNTY SCHOOL DISTRICT,Transformation,494913,West
+514,KIT CARSON ELEMENTARY SCHOOL,LAS VEGAS,NV,CLARK COUNTY SCHOOL DISTRICT,Turnaround,763905,West
+515,GLENN DUNCAN ELEMENTARY SCHOOL,RENO,NV,WASHOE COUNTY SCHOOL DISTRICT,Turnaround,505777,West
+516,ARCHIE CLAYTON MIDDLE SCHOOL,RENO,NV,WASHOE COUNTY SCHOOL DISTRICT,Transformation,477071,West
+517,VETERANS MEMORIAL ELEMENTARY SCHOOL,RENO,NV,WASHOE COUNTY SCHOOL DISTRICT,Transformation,427337,West
+518,GEORGE L DILWORTH MIDDLE SCHOOL,SPARKS,NV,WASHOE COUNTY SCHOOL DISTRICT,Transformation,576840,West
+519,EAGLE VALLEY MIDDLE SCHOOL,CARSON CITY,NV,CARSON CITY SCHOOL DISTRICT,Transformation,654043,West
+520,SMITHRIDGE ELEMENTARY SCHOOL,RENO,NV,WASHOE COUNTY SCHOOL DISTRICT,Turnaround,567154,West
+521,SOUTH PARK HIGH SCHOOL,BUFFALO,NY,BUFFALO CITY SCHOOL DISTRICT,Transformation,10000,Northeast
+522,WILLIAM E GRADY VOCATIONAL HIGH SCHOOL,BROOKLYN,NY,NEW YORK CITY GEOGRAPHIC DISTRICT #21,Transformation,136581,Northeast
+523,LONG ISLAND CITY HIGH SCHOOL,LONG ISLAND CITY,NY,NEW YORK CITY GEOGRAPHIC DISTRICT #30,Transformation,10000,Northeast
+524,ROOSEVELT HIGH SCHOOL,YONKERS,NY,YONKERS CITY SCHOOL DISTRICT,Transformation,10000,Northeast
+525,Robert Brown High School of Construction and Design,Rochester,NY,Rochester City School District,Turnaround,178685,Northeast
+526,BREAD & ROSES INTEGRATED ARTS HIGH SCHOOL,NEW YORK,NY,NEW YORK CITY GEOGRAPHIC DISTRICT # 5,Transformation,850510,Northeast
+527,DELAWARE ELEMENTARY SCHOOL,SYRACUSE,NY,SYRACUSE CITY SCHOOL DISTRICT,Transformation,10000,Northeast
+528,INTERNATIONAL SCHOOL,BUFFALO,NY,BUFFALO CITY SCHOOL DISTRICT,Transformation,10000,Northeast
+529,FRANKLIN D ROOSEVELT HIGH SCHOOL,BROOKLYN,NY,NEW YORK CITY GEOGRAPHIC DISTRICT #20,Transformation,10000,Northeast
+530,QUEENS VOCATIONAL AND TECHNICAL HIGH SCHOOL,LONG ISLAND CITY,NY,NEW YORK CITY GEOGRAPHIC DISTRICT #24,Transformation,130051,Northeast
+531,EMERSON MIDDLE SCHOOL,YONKERS,NY,YONKERS CITY SCHOOL DISTRICT,Turnaround,10000,Northeast
+532,Vanguard Collegiate High School,Rochester,NY,Rochester City School District,Turnaround,122114,Northeast
+533,CHELSEA CAREER AND TECHNICAL EDUCATION HIGH SCHOOL,NEW YORK,NY,NEW YORK CITY GEOGRAPHIC DISTRICT # 2,Transformation,959246,Northeast
+534,GLOBAL MEDIA ARTS HS AT FRANKLIN,ROCHESTER,NY,ROCHESTER CITY SCHOOL DISTRICT,Turnaround,137761,Northeast
+535,"DR MARTIN LUTHER KING, JR MULTICULTURAL INSTITUTE",BUFFALO,NY,BUFFALO CITY SCHOOL DISTRICT,Transformation,188422,Northeast
+536,FLUSHING HIGH SCHOOL,FLUSHING,NY,NEW YORK CITY GEOGRAPHIC DISTRICT #25,Transformation,10000,Northeast
+537,COBBLE HILL SCHOOL OF AMERICAN STUDIES,BROOKLYN,NY,NEW YORK CITY GEOGRAPHIC DISTRICT #15,Transformation,994888,Northeast
+538,HUGHES ELEMENTARY SCHOOL,SYRACUSE,NY,SYRACUSE CITY SCHOOL DISTRICT,Transformation,10000,Northeast
+539,UNITY CENTER FOR URBAN TECHNOLOGIES,NEW YORK,NY,NEW YORK CITY GEOGRAPHIC DISTRICT # 2,Transformation,757113,Northeast
+540,EAST HIGH SCHOOL,ROCHESTER,NY,ROCHESTER CITY SCHOOL DISTRICT,Transformation,19525,Northeast
+541,BENNETT HIGH SCHOOL,BUFFALO,NY,BUFFALO CITY SCHOOL DISTRICT,Transformation,10000,Northeast
+542,AUTOMOTIVE HIGH SCHOOL,BROOKLYN,NY,NEW YORK CITY GEOGRAPHIC DISTRICT #14,Transformation,117372,Northeast
+543,Rochester STEM High School,Rochester,NY,Rochester City School District,Turnaround,185579,Northeast
+544,SCHOOL FOR GLOBAL STUDIES,BROOKLYN,NY,NEW YORK CITY GEOGRAPHIC DISTRICT #15,Transformation,890934,Northeast
+545,GEORGE FOWLER HIGH SCHOOL,SYRACUSE,NY,SYRACUSE CITY SCHOOL DISTRICT,Transformation,10000,Northeast
+546,WOODLAND HILLS SCHOOL,CLEVELAND,OH,CLEVELAND MUNICIPAL,Turnaround,723790,Midwest
+547,CRITTENTON COMMUNITY SCHOOL,COLUMBUS,OH,CRITTENTON COMMUNITY SCHOOL,Transformation,246750,Midwest
+548,EAST HIGH SCHOOL,YOUNGSTOWN,OH,YOUNGSTOWN CITY SCHOOLS,Transformation,805793,Midwest
+549,FRANKLIN D. ROOSEVELT,CLEVELAND,OH,CLEVELAND MUNICIPAL,Turnaround,725800,Midwest
+550,DUNBAR HIGH SCHOOL,DAYTON,OH,DAYTON CITY,Transformation,350537,Midwest
+551,GLENVILLE HIGH SCHOOL,CLEVELAND,OH,CLEVELAND MUNICIPAL,Turnaround,691110,Midwest
+552,WEST HIGH SCHOOL,COLUMBUS,OH,COLUMBUS CITY,Transformation,948140,Midwest
+553,WOODWARD CAREER TECHNICAL HIGH SCHOOL,CINCINNATI,OH,CINCINNATI CITY,Transformation,10000,Midwest
+554,CHAMPION MIDDLE SCHOOL,COLUMBUS,OH,COLUMBUS CITY,Transformation,104115,Midwest
+555,ROTHENBERG PREPARATORY ACADEMY,CINCINNATI,OH,CINCINNATI CITY,Transformation,949658,Midwest
+556,KEIFER ALTERNATIVE CENTER,SPRINGFIELD,OH,SPRINGFIELD CITY,Transformation,10000,Midwest
+557,LINCOLN-WEST HIGH SCHOOL,CLEVELAND,OH,CLEVELAND MUNICIPAL,Turnaround,109111,Midwest
+558,BELMONT HIGH SCHOOL,DAYTON,OH,DAYTON CITY,Transformation,350537,Midwest
+559,EAST TECHNICAL HIGH SCHOOL,CLEVELAND,OH,CLEVELAND MUNICIPAL,Turnaround,109111,Midwest
+560,WEINLAND PARK ELEMENTARY SCHOOL,COLUMBUS,OH,COLUMBUS CITY,Transformation,825100,Midwest
+561,VIRTUAL HIGH SCHOOL,CINCINNATI,OH,CINCINNATI CITY,Transformation,797726,Midwest
+562,BELLEFAIRE,UNIVERSITY HTS,OH,CLEVELAND HEIGHTS-UNIVERSITY HEIGHTS CITY,Transformation,712097,Midwest
+563,GEORGE HAYS - JENNIE PORTER,CINCINNATI,OH,CINCINNATI CITY,Transformation,108635,Midwest
+564,PATRICK HENRY SCHOOL,CLEVELAND,OH,CLEVELAND MUNICIPAL,Transformation,451750,Midwest
+565,PROGRESSIVE ACADEMY,LIMA,OH,LIMA CITY,Transformation,175685,Midwest
+566,LUIS MUNOZ MARIN SCHOOL,CLEVELAND,OH,CLEVELAND MUNICIPAL,Transformation,451750,Midwest
+567,ALUM CREST HIGH SCHOOL,COLUMBUS,OH,COLUMBUS CITY,Transformation,774900,Midwest
+568,COLLINWOOD HIGH SCHOOL,CLEVELAND,OH,CLEVELAND MUNICIPAL,Turnaround,109111,Midwest
+569,SOUTHMOOR MIDDLE SCHOOL,COLUMBUS,OH,COLUMBUS CITY,Transformation,10000,Midwest
+570,WILLIAM H TAFT ELEMENTARY SCHOOL,CINCINNATI,OH,CINCINNATI CITY,Transformation,100268,Midwest
+571,MARTIN LUTHER KING JR CAREER CAMPUS,CLEVELAND,OH,CLEVELAND MUNICIPAL,Transformation,584250,Midwest
+572,SCHOLARTS PREPARATORY AND CAREER CENTER FOR CHILDR,COLUMBUS,OH,SCHOLARTS PREPARATORY AND CAREER CENTER FOR CHILDREN,Transformation,500000,Midwest
+573,ODYSSEY: SCHOOL OF POSSIBILITIES,YOUNGSTOWN,OH,YOUNGSTOWN CITY SCHOOLS,Transformation,913139,Midwest
+574,MARY B MARTIN SCHOOL,CLEVELAND,OH,CLEVELAND MUNICIPAL,Turnaround,723790,Midwest
+575,MEADOWDALE HIGH SCHOOL,DAYTON,OH,DAYTON CITY,Transformation,350537,Midwest
+576,JOHN F KENNEDY HIGH SCHOOL,CLEVELAND,OH,CLEVELAND MUNICIPAL,Turnaround,109111,Midwest
+577,WELCOME CENTER HIGH,COLUMBUS,OH,COLUMBUS CITY,Transformation,10000,Midwest
+578,CARL & LOUIS STOKES CENTRAL ACADEMY,CLEVELAND,OH,CLEVELAND MUNICIPAL,Transformation,451750,Midwest
+579,LINDEN-MCKINLEY HIGH SCHOOL,COLUMBUS,OH,COLUMBUS CITY,Transformation,14775,Midwest
+580,SOUTH AVONDALE ELEMENTARY SCHOOL,CINCINNATI,OH,CINCINNATI CITY,Transformation,994001,Midwest
+581,GILCREASE MS,TULSA,OK,TULSA,Transformation,158356,South
+582,CLINTON MS,TULSA,OK,TULSA,Transformation,113967,South
+583,F.D. MOON ACADEMY,OKLAHOMA CITY,OK,OKLAHOMA CITY,Transformation,152716,South
+584,WILL ROGERS HS,TULSA,OK,TULSA,Transformation,117124,South
+585,CENTRAL HS,TULSA,OK,TULSA,Transformation,858523,South
+586,CRUTCHO PUBLIC SCHOOL,OKLAHOMA CITY,OK,CRUTCHO,Transformation,973201,South
+587,NATHAN HALE HS,TULSA,OK,TULSA,Transformation,103708,South
+588,DOUGLASS MS,OKLAHOMA CITY,OK,OKLAHOMA CITY,Transformation,11395,South
+589,EAST CENTRAL HS,TULSA,OK,TULSA,Transformation,107752,South
+590,U. S. GRANT HS,OKC,OK,OKLAHOMA CITY,Turnaround,173743,South
+591,SPANISH-ENGLISH INTERNATIONAL SCHOOL,PORTLAND,OR,PORTLAND SD 1J,Transformation,766667,West
+592,ONTARIO HIGH SCHOOL,ONTARIO,OR,ONTARIO SD 8C,Transformation,11704,West
+593,HALLMAN ELEMENTARY SCHOOL,SALEM,OR,SALEM-KEIZER SD 24J,Transformation,950000,West
+594,EAGLERIDGE HIGH SCHOOL,KLAMATH FALLS,OR,KLAMATH FALLS CITY SCHOOLS,Transformation,617966,West
+595,MCKAY HIGH SCHOOL,SALEM,OR,SALEM-KEIZER SD 24J,Transformation,19015,West
+596,"ARTS, COMMUNICATION & TECHNOLOGY SCHOOL",PORTLAND,OR,PORTLAND SD 1J,Transformation,766667,West
+597,MADRAS HIGH SCHOOL,MADRAS,OR,JEFFERSON COUNTY SD 509J,Transformation,118595,West
+598,ROBERTS HIGH SCHOOL,SALEM,OR,SALEM-KEIZER SD 24J,Transformation,616667,West
+599,PURSUIT OF WELLNESS EDUCATION AT ROOSEVELT CAMPUS,PORTLAND,OR,PORTLAND SD 1J,Transformation,119072,West
+600,OREGON CITY SERVICE LEARNING ACADEMY,OREGON CITY,OR,OREGON CITY SD 62,Transformation,441740,West
+601,MARSHALL HIGH SCHOOL,BEND,OR,BEND-LAPINE ADMINISTRATIVE SD 1,Transformation,747268,West
+602,EARLY COLLEGE HIGH SCHOOL,SALEM,OR,SALEM-KEIZER SD 24J,Transformation,616667,West
+603,SAYRE WILLIAM L MS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,737032,Northeast
+604,CENTRAL DAUPHIN EAST SHS,HARRISBURG,PA,CENTRAL DAUPHIN SD,Transformation,699963,Northeast
+605,KING MARTIN LUTHER HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,786964,Northeast
+606,DOUGLAS STEPHEN A SCH,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Restart,319320,Northeast
+607,PARK LANE EL SCH,DARBY,PA,WILLIAM PENN SD,Transformation,283200,Northeast
+608,FRANCIS D RAUB MS,ALLENTOWN,PA,ALLENTOWN CITY SD,Transformation,500000,Northeast
+609,LOCKE ALAIN SCH,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,390938,Northeast
+610,ALCORN JAMES SCH,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,338726,Northeast
+611,STEELTON-HIGHSPIRE HS,STEELTON,PA,STEELTON-HIGHSPIRE SD,Turnaround,280500,Northeast
+612,PERSEUS HOUSE CS OF EXCELLENCE,ERIE,PA,PERSEUS HOUSE CS OF EXCELLENCE,Transformation,686000,Northeast
+613,GERMANTOWN HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,798792,Northeast
+614,MOUNT UNION AREA SHS,MOUNT UNION,PA,MOUNT UNION AREA SD,Transformation,848867,Northeast
+615,ROONEY ARTHUR J MS,PITTSBURGH,PA,PITTSBURGH SD,Closure,208773,Northeast
+616,ROXBOROUGH HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,641440,Northeast
+617,HAND MS,LANCASTER,PA,LANCASTER SD,Turnaround,551611,Northeast
+618,LANGLEY HS,PITTSBURGH,PA,PITTSBURGH SD,Transformation,312714,Northeast
+619,TREXLER MS,ALLENTOWN,PA,ALLENTOWN CITY SD,Transformation,250000,Northeast
+620,UNIVERSITY CITY HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Turnaround,923999,Northeast
+621,SMEDLEY FRANKLIN SCH,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Restart,362773,Northeast
+622,PENN WOOD HS - GREEN AVE CAMPUS,LANSDOWNE,PA,WILLIAM PENN SD,Transformation,626150,Northeast
+623,HARRISON-MORTON MS,ALLENTOWN,PA,ALLENTOWN CITY SD,Transformation,350000,Northeast
+624,WEST PHILADELPHIA HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,671142,Northeast
+625,HARRITY WILLIAM F SCH,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Restart,980283,Northeast
+626,ACADEMY PARK HS,SHARON HILL,PA,SOUTHEAST DELCO SD,Transformation,958375,Northeast
+627,WEST PHILA. ACHIEVEMENT CES,PHILADELPHIA,PA,WEST PHILA. ACHIEVEMENT CES,Transformation,318875,Northeast
+628,FRANKFORD HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,792001,Northeast
+629,MCKEESPORT AREA SHS,MC KEESPORT,PA,MCKEESPORT AREA SD,Transformation,10000,Northeast
+630,OLIVER HS,PITTSBURGH,PA,PITTSBURGH SD,Transformation,542588,Northeast
+631,VAUX ROBERTS HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Turnaround,466665,Northeast
+632,CAREER TECHNOLOGY ACADEMY,HARRISBURG,PA,HARRISBURG CITY SD,Closure,300000,Northeast
+633,CLEMENTE ROBERTO MS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Turnaround,333327,Northeast
+634,FELS SAMUEL HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,974132,Northeast
+635,LOUIS E DIERUFF HS,ALLENTOWN,PA,ALLENTOWN CITY SD,Transformation,500000,Northeast
+636,ALLEN DR ETHEL SCH,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Turnaround,247020,Northeast
+637,FELTONVILLE INTERMEDIATE SCHOOL,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,244855,Northeast
+638,PENN WOOD MS,DARBY,PA,WILLIAM PENN SD,Transformation,287500,Northeast
+639,CENTRAL EL SCH,ALLENTOWN,PA,ALLENTOWN CITY SD,Transformation,650000,Northeast
+640,SOUTH PHILADELPHIA HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,579958,Northeast
+641,OLNEY HS WEST,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,272245,Northeast
+642,BRASHEAR HS,PITTSBURGH,PA,PITTSBURGH SD,Transformation,267754,Northeast
+643,EDISON HS/FAREIRA SKILLS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,10000,Northeast
+644,MCCASKEY CAMPUS,LANCASTER,PA,LANCASTER SD,Transformation,616432,Northeast
+645,WESTINGHOUSE HS,PITTSBURGH,PA,PITTSBURGH SD,Transformation,606437,Northeast
+646,STETSON JOHN B MS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Restart,888708,Northeast
+647,DUQUESNE CONSOLIDATED SCH,DUQUESNE,PA,DUQUESNE CITY SD,Transformation,523313,Northeast
+648,DAROFF SAMUEL SCH,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Restart,658247,Northeast
+649,BLUFORD GUION EL SCH,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Restart,907129,Northeast
+650,WILLIAM ALLEN HS,ALLENTOWN,PA,ALLENTOWN CITY SD,Transformation,350000,Northeast
+651,CLYMER GEORGE SCH,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,392068,Northeast
+652,MANN WILLIAM B SCH,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Restart,794021,Northeast
+653,TURKEYFOOT VALLEY AREA JSHS,CONFLUENCE,PA,TURKEYFOOT VALLEY AREA SD,Transformation,286500,Northeast
+654,PHILADELPHIA MONTESSORI CS,PHILADELPHIA,PA,PHILADELPHIA MONTESSORI CS,Transformation,305763,Northeast
+655,GRATZ SIMON HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,508486,Northeast
+656,PENN HILLS SHS,PITTSBURGH,PA,PENN HILLS SD,Transformation,109958,Northeast
+657,KING M L EL SCH,PITTSBURGH,PA,PITTSBURGH SD,Transformation,234233,Northeast
+658,LINCOLN HS,PHILADELPHIA,PA,PHILADELPHIA CITY SD,Transformation,10000,Northeast
+659,PERRY TRADITIONAL ACADEMY,PITTSBURGH,PA,PITTSBURGH SD,Transformation,320412,Northeast
+660,REYNOLDS MS,LANCASTER,PA,LANCASTER SD,Transformation,531891,Northeast
+667,RIDGELAND MIDDLE,RIDGELAND,SC,JASPER 01,Transformation,573338,South
+668,J V MARTIN JR HIGH,DILLON,SC,DILLON 02,Transformation,908486,South
+669,DENMARK-OLAR MIDDLE,DENMARK,SC,BAMBERG 02,Transformation,571626,South
+670,KINGSTREE JR HIGH,KINGSTREE,SC,WILLIAMSBURG 01,Transformation,639839,South
+671,EAU CLAIRE HIGH,COLUMBIA,SC,RICHLAND 01,Transformation,717125,South
+672,ESTILL HIGH,ESTILL,SC,HAMPTON 02,Transformation,502925,South
+673,MANNING JUNIOR HIGH,MANNING,SC,CLARENDON 02,Transformation,672451,South
+674,DENMARK OLAR HIGH,DENMARK,SC,BAMBERG 02,Transformation,571626,South
+675,WHITLOCK JR HIGH,SPARTANBURG,SC,SPARTANBURG 07,Closure,254323,South
+676,WEST LEE ELEM,REMBERT,SC,LEE 01,Transformation,698507,South
+677,ESTILL MIDDLE,ESTILL,SC,HAMPTON 02,Transformation,503608,South
+678,N CHARLESTON HIGH,NORTH CHARLESTON,SC,CHARLESTON 01,Transformation,756937,South
+679,ALLENDALE-FAIRFAX MIDDLE,FAIRFAX,SC,ALLENDALE 01,Transformation,449430,South
+680,CARVER JR HIGH,SPARTANBURG,SC,SPARTANBURG 07,Transformation,126267,South
+681,HARDEEVILLE MIDDLE/HIGH,HARDEEVILLE,SC,JASPER 01,Transformation,579145,South
+682,CAROLINA HIGH,GREENVILLE,SC,GREENVILLE 01,Transformation,905959,South
+683,MORNINGSIDE MIDDLE,NORTH CHARLESTON,SC,CHARLESTON 01,Transformation,712019,South
+684,FAIRFAX ELEM,FAIRFAX,SC,ALLENDALE 01,Transformation,411971,South
+685,C A JOHNSON PREPATORY ACAD,COLUMBIA,SC,RICHLAND 01,Transformation,717125,South
+687,FAMILY IMMERSION CENTER MIDDLE - 53,SIOUX FALLS,SD,SIOUX FALLS SCHOOL DISTRICT 49-5,Turnaround,168131,Midwest
+688,NEW UNDERWOOD HIGH SCHOOL - 01,NEW UNDERWOOD,SD,NEW UNDERWOOD SCHOOL DISTRICT 51-3,Transformation,362759,Midwest
+689,NORTHSIDE HIGH SCHOOL,MEMPHIS,TN,MEMPHIS CITY SCHOOL DISTRICT,Turnaround,267249,South
+690,HAMILTON HIGH SCHOOL,MEMPHIS,TN,MEMPHIS CITY SCHOOL DISTRICT,Transformation,274487,South
+691,HOWARD ACADEMY OF ACADEMICS TECHNOLOGY,CHATTANOOGA,TN,HAMILTON COUNTY SCHOOL DISTRCT,Turnaround,629999,South
+692,TREZEVANT HIGH SCHOOL,MEMPHIS,TN,MEMPHIS CITY SCHOOL DISTRICT,Transformation,306934,South
+693,FRAYSER MIDDLE/ HIGH SCHOOL,MEMPHIS,TN,MEMPHIS CITY SCHOOL DISTRICT,Transformation,248250,South
+694,HIXSON HIGH SCHOOL,HIXSON,TN,HAMILTON COUNTY SCHOOL DISTRCT,Transformation,620296,South
+695,SHEFFIELD HIGH SCHOOL,MEMPHIS,TN,MEMPHIS CITY SCHOOL DISTRICT,Turnaround,376370,South
+696,MANASSAS HIGH SCHOOL,MEMPHIS,TN,MEMPHIS CITY SCHOOL DISTRICT,Turnaround,269863,South
+697,MOUNT PLEASANT HIGH SCHOOL,MT PLEASANT,TN,MAURY COUNTY SCHOOL DISTRICT,Transformation,736026,South
+698,RALEIGH EGYPT MIDDLE SCHOOL,MEMPHIS,TN,MEMPHIS CITY SCHOOL DISTRICT,Turnaround,103092,South
+699,KINGSBURY MIDDLE/HIGH SCHOOL,MEMPHIS,TN,MEMPHIS CITY SCHOOL DISTRICT,Transformation,259513,South
+700,AUSTIN EAST HIGH/MAGNET SCHOOL,KNOXVILLE,TN,KNOX COUNTY SCHOOL DISTRICT,Turnaround,905629,South
+749,ODYSSEY ELEMENTARY,OGDEN,UT,OGDEN DISTRICT,Transformation,549444,West
+750,BLUFF SCHOOL,BLUFF,UT,SAN JUAN DISTRICT,Transformation,278779,West
+751,JAMES MADISON ELEMENTARY,OGDEN,UT,OGDEN DISTRICT,Transformation,549444,West
+752,NORTHWEST MIDDLE,SALT LAKE CITY,UT,SALT LAKE DISTRICT,Transformation,806790,West
+753,DEE SCHOOL,OGDEN,UT,OGDEN DISTRICT,Transformation,549444,West
+754,GLENDALE MIDDLE,SALT LAKE CITY,UT,SALT LAKE DISTRICT,Transformation,806790,West
+755,GRANGER HIGH,WEST VALLEY CITY,UT,GRANITE DISTRICT,Transformation,710934,West
+756,FRED D. THOMPSON MIDDLE,RICHMOND,VA,RICHMOND CITY PBLC SCHS,Transformation,501500,South
+757,LAKE TAYLOR MIDDLE,NORFOLK,VA,NORFOLK CITY PBLC SCHS,Transformation,135251,South
+758,FRIES MIDDLE,FRIES,VA,GRAYSON CO PBLC SCHS,Transformation,500000,South
+759,T.C. WILLIAMS HIGH,ALEXANDRIA,VA,ALEXANDRIA CITY PBLC SCHS,Transformation,10000,South
+760,WESTSIDE ELEM.,ROANOKE,VA,ROANOKE CITY PBLC SCHS,Transformation,580100,South
+761,PRINCE EDWARD COUNTY HIGH,FARMVILLE,VA,PRINCE EDWARD CO PBLC SCHS,Transformation,499586,South
+762,CENTRAL HIGH,KING AND QUEEN C H,VA,KING AND QUEEN CO PBLC SCHS,Transformation,685661,South
+763,LANGSTON FOCUS SCHOOL,DANVILLE,VA,DANVILLE CITY PBLC SCHS,Restart,946198,South
+764,ARMSTRONG HIGH,RICHMOND,VA,RICHMOND CITY PBLC SCHS,Restart,859600,South
+765,PEABODY MIDDLE,PETERSBURG,VA,PETERSBURG CITY PBLC SCHS,Transformation,460723,South
+766,NEW BRIDGE SCHOOL,RICHMOND,VA,HENRICO CO PBLC SCHS,Closure,50000,South
+767,COLONIAL BEACH HIGH,COLONIAL BEACH,VA,COLONIAL BEACH PBLC SCHS,Transformation,571500,South
+768,ELLEN W. CHAMBLISS ELEM.,WAKEFIELD,VA,SUSSEX CO PBLC SCHS,Restart,400000,South
+769,THOMAS C. BOUSHALL MIDDLE,RICHMOND,VA,RICHMOND CITY PBLC SCHS,Restart,613340,South
+770,RUFFNER MIDDLE,NORFOLK,VA,NORFOLK CITY PBLC SCHS,Transformation,135542,South
+771,VA. RANDOLPH COMM. HIGH,GLEN ALLEN,VA,HENRICO CO PBLC SCHS,Closure,50000,South
+772,JAMES S. RUSSELL MIDDLE,LAWRENCEVILLE,VA,BRUNSWICK CO PBLC SCHS,Transformation,490820,South
+773,SUSSEX CENTRAL MIDDLE,SUSSEX,VA,SUSSEX CO PBLC SCHS,Restart,529167,South
+774,MOUNT ABRAHAM UHSD #28,BRISTOL,VT,MOUNT ABRAHAM UHSD #28,Transformation,230110,Northeast
+775,NORTHFIELD ELEMENTARY SCHOOL,NORTHFIELD,VT,NORTHFIELD SCHOOL DISTRICT,Transformation,215600,Northeast
+776,H. O. WHEELER SCHOOL,BURLINGTON,VT,BURLINGTON SCHOOL DISTRICT,Transformation,368200,Northeast
+777,LAMOILLE UHSD #18,HYDE PARK,VT,LAMOILLE UHSD #18,Transformation,242458,Northeast
+778,WINOOSKI HIGH SCHOOL,WINOOSKI,VT,WINOOSKI SCHOOL DISTRICT,Transformation,166477,Northeast
+779,ST. JOHNSBURY SCHOOL,ST JOHNSBURY,VT,SAINT JOHNSBURY SCHOOL DISTRICT,Transformation,380045,Northeast
+780,JOHNSON ELEMENTARY SCHOOL,JOHNSON,VT,JOHNSON SCHOOL DISTRICT,Transformation,192559,Northeast
+781,WINDSOR HIGH SCHOOL,WINDSOR,VT,WINDSOR SCHOOL DISTRICT,Transformation,257889,Northeast
+782,RUTLAND SENIOR HIGH SCHOOL,RUTLAND,VT,RUTLAND CITY SCHOOL DISTRICT,Transformation,382364,Northeast
+783,FAIR HAVEN UHSD #16,FAIR HAVEN,VT,FAIR HAVEN UHSD #16,Transformation,314781,Northeast
+784,STEWART,TACOMA,WA,TACOMA SCHOOL DISTRICT,Turnaround,152512,West
+785,SUNNYSIDE HIGH SCHOOL,SUNNYSIDE,WA,SUNNYSIDE SCHOOL DISTRICT,Transformation,162541,West
+786,TULALIP ELEMENTARY,MARYSVILLE,WA,MARYSVILLE SCHOOL DISTRICT,Turnaround,734480,West
+787,CASCADE MIDDLE SCHOOL,SEATTLE,WA,HIGHLINE SCHOOL DISTRICT,Transformation,730000,West
+788,ADAMS ELEMENTARY SCHOOL,YAKIMA,WA,YAKIMA SCHOOL DISTRICT,Transformation,116293,West
+789,HAWTHORNE ELEMENTARY SCHOOL,SEATTLE,WA,SEATTLE PUBLIC SCHOOLS,Transformation,533531,West
+790,MARYSVILLE MIDDLE SCHOOL,MARYSVILLE,WA,MARYSVILLE SCHOOL DISTRICT,Transformation,109526,West
+791,GRANDVIEW MIDDLE SCHOOL,GRANDVIEW,WA,GRANDVIEW SCHOOL DISTRICT,Transformation,10000,West
+792,WELLPINIT ELEMENTARY SCHOOL,WELLPINIT,WA,WELLPINIT SCHOOL DISTRICT,Transformation,178996,West
+793,JASON LEE,TACOMA,WA,TACOMA SCHOOL DISTRICT,Transformation,100573,West
+794,HIGH POINT ELEMENTARY SCHOOL,SEATTLE,WA,SEATTLE PUBLIC SCHOOLS,Transformation,452925,West
+795,MONTICELLO MIDDLE SCHOOL,LONGVIEW,WA,LONGVIEW SCHOOL DISTRICT,Transformation,515546,West
+796,STANTON ALTERNATIVE SCHOOL,YAKIMA,WA,YAKIMA SCHOOL DISTRICT,Transformation,945312,West
+797,ANGELO GIAUDRONE MIDDLE SCHOOL,TACOMA,WA,TACOMA SCHOOL DISTRICT,Turnaround,138656,West
+798,HUNT,TACOMA,WA,TACOMA SCHOOL DISTRICT,Closure,95320,West
+799,CLEVELAND HIGH SCHOOL,SEATTLE,WA,SEATTLE PUBLIC SCHOOLS,Transformation,756677,West
+800,CHINOOK MIDDLE SCHOOL,SEATAC,WA,HIGHLINE SCHOOL DISTRICT,Transformation,730000,West
+801,WASHINGTON MIDDLE SCHOOL,YAKIMA,WA,YAKIMA SCHOOL DISTRICT,Transformation,115268,West
+802,FOSTER & WILLIAMS HIGH SCHOOL OF THE VISUAL ARTS,MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Closure,10000,Midwest
+803,DUBOIS HIGH,MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Closure,10000,Midwest
+804,CUSTER HIGH,MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Restart,650093,Midwest
+805,JAMES MADISON ACADEMIC CAMPUS,MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Transformation,749320,Midwest
+806,VINCENT HIGH,MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Transformation,928024,Midwest
+807,BAY VIEW HIGH,MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Transformation,134909,Midwest
+808,DOWNTOWN INSTITUTE OF ARTS & LETTERS (DIAL),MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Closure,10000,Midwest
+809,SOUTH DIVISION HIGH,MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Transformation,124643,Midwest
+810,MILWAUKEE AFRICAN AMERICAN IMMERSION HIGH,MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Restart,567905,Midwest
+811,WHS LAW EDUCATION & PUBLIC SERVICE,MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Closure,10000,Midwest
+812,BRADLEY TECHNOLOGY HIGH,MILWAUKEE,WI,MILWAUKEE SCHOOL DISTRICT,Transformation,10000,Midwest
+813,HAMLIN PK-8,HAMLIN,WV,LINCOLN COUNTY SCHOOLS,Transformation,258600,South
+814,RIVERSIDE HIGH SCHOOL,BELLE,WV,KANAWHA COUNTY SCHOOLS,Transformation,481900,South
+815,DODDRIDGE COUNTY ELEMENTARY SCHOOL,WEST UNION,WV,DODDRIDGE COUNTY SCHOOLS,Transformation,464200,South
+816,MOUNT VIEW HIGH SCHOOL,WELCH,WV,MCDOWELL COUNTY SCHOOLS,Transformation,450000,South
+817,WEST HAMLIN ELEMENTARY,WEST HAMLIN,WV,LINCOLN COUNTY SCHOOLS,Transformation,156660,South
+818,MALDEN ELEMENTARY SCHOOL,CHARLESTON,WV,KANAWHA COUNTY SCHOOLS,Transformation,217598,South
+819,MARTINSBURG NORTH MIDDLE SCHOOL,MARTINSBURG,WV,BERKELEY COUNTY SCHOOLS,Transformation,461690,South
+820,SANDY RIVER MIDDLE SCHOOL,AVONDALE,WV,MCDOWELL COUNTY SCHOOLS,Transformation,370000,South
+821,STONEWALL JACKSON MIDDLE SCHOOL,CHARLESTON,WV,KANAWHA COUNTY SCHOOLS,Transformation,241211,South
+822,EAST BANK MIDDLE SCHOOL,EAST BANK,WV,KANAWHA COUNTY SCHOOLS,Transformation,314618,South
+823,FRANKLIN ELEMENTARY CENTER,PARKERSBURG,WV,WOOD COUNTY SCHOOLS,Transformation,389906,South
+824,GUYAN VALLEY MIDDLE,BRANCHLAND,WV,LINCOLN COUNTY SCHOOLS,Transformation,341250,South
+825,CEDAR GROVE MIDDLE SCHOOL,CEDAR GROVE,WV,KANAWHA COUNTY SCHOOLS,Transformation,211271,South
+826,MOUNT HOPE HIGH SCHOOL,MOUNT HOPE,WV,FAYETTE COUNTY SCHOOLS,Transformation,342189,South
+827,GEARY ELEMENTARY SCHOOL,LEFT HAND,WV,ROANE COUNTY SCHOOLS,Transformation,260000,South
+828,TRIUMPH HIGH SCHOOL,CHEYENNE,WY,LARAMIE COUNTY SCHOOL DISTRICT #1,Transformation,297300,West
+829,HEM JUNIOR/SENIOR HIGH SCHOOL,HANNA,WY,CARBON COUNTY SCHOOL DISTRICT #2,Transformation,274000,West
+830,ROOSEVELT HIGH SCHOOL,CASPER,WY,NATRONA COUNTY SCHOOL DISTRICT #1,Transformation,431382,West
\ No newline at end of file
diff --git a/data/shipping_tables.xlsx b/data/shipping_tables.xlsx
new file mode 100644
index 0000000..aad8f1b
Binary files /dev/null and b/data/shipping_tables.xlsx differ
diff --git a/extras/Pathlib-Cheatsheet.pdf b/extras/Pathlib-Cheatsheet.pdf
new file mode 100644
index 0000000..89f173b
Binary files /dev/null and b/extras/Pathlib-Cheatsheet.pdf differ
diff --git a/extras/crosstab_cheatsheet.pdf b/extras/crosstab_cheatsheet.pdf
new file mode 100644
index 0000000..4bd6e99
Binary files /dev/null and b/extras/crosstab_cheatsheet.pdf differ
diff --git a/extras/profiles.json b/extras/profiles.json
new file mode 100644
index 0000000..5212ae6
--- /dev/null
+++ b/extras/profiles.json
@@ -0,0 +1,103 @@
+
+// To view the default settings, hold "alt" while clicking on the "Settings" button.
+// For documentation on these settings, see: https://aka.ms/terminal-documentation
+
+// Replace the GUIDs below
+// In python :
+// import uuid
+// uuid.uuid(4)
+
+// You will need to modify this for your own paths
+
+{
+    "$schema": "https://aka.ms/terminal-profiles-schema",
+
+    "defaultProfile": "{2c4de343-38b8-51cf-b940-2309a097f518}",
+
+    "profiles":
+    {
+        "defaults":
+        {
+            // Put settings here that you want to apply to all profiles
+        },
+        "list":
+        [
+            {
+                // Make changes here to the powershell.exe profile
+                "guid": "{a6976a91-85fd-4393-a58d-bc92de8bdac5}",
+                "name": "Windows PowerShell",
+                "commandline": "powershell.exe",
+                "hidden": false
+            },
+            {
+                // Make changes here to the cmd.exe profile
+                "guid": "{d62ecbfb-c1b9-40a3-995e-59f623d7e7db}",
+                "name": "cmd",
+                "commandline": "cmd.exe",
+                "hidden": false
+            },
+            {
+                // Make changes here to the Launch conda environemt
+                "guid": "{0a4fd107-2b4e-4b80-aa2d-d26e3578d16a}",
+                "name": "conda",
+                "commandline": "cmd.exe /K C:\\Users\\chris\\miniconda3\\Scripts\\activate.bat C:\\Users\\chris\\miniconda3",
+                "startingDirectory": "c:/Users/chris/win_dev",
+                "icon": "c:/users/chris/OneDrive/Documents/icons/python-logo-sm.png",
+                "hidden": false
+            },
+            {
+                "guid": "{b453ae62-4e3d-5e58-b989-0a998ec441b8}",
+                "hidden": false,
+                "name": "Azure Cloud Shell",
+                "source": "Windows.Terminal.Azure"
+            },
+            {
+                // Ubuntu
+                "guid": "{2c4de343-38b8-51cf-b940-2309a097f518}",
+                "hidden": false,
+                "fontFace": "Cascadia Code PL",
+                "name": "Ubuntu",
+                "colorScheme" : "UbuntuLegit",
+                "startingDirectory":"//wsl$/Ubuntu/home/chris/",
+                "icon": "c:/users/chris/OneDrive/Documents/icons/small_vu.png",
+                "source": "Windows.Terminal.Wsl"
+            },
+            {
+                "guid": "{c6eaf9f4-32a7-5fdc-b5cf-066e8a4b1e40}",
+                "hidden": false,
+                "name": "Ubuntu-18.04",
+                "source": "Windows.Terminal.Wsl"
+            }
+        ]
+    },
+
+    // Add custom color schemes to this array
+    "schemes": [
+        {
+            "background":  "#2C001E",
+            "black":  "#4E9A06",
+            "blue":  "#3465A4",
+            "brightBlack":  "#555753",
+            "brightBlue":  "#729FCF",
+            "brightCyan":  "#34E2E2",
+            "brightGreen":  "#8AE234",
+            "brightPurple":  "#AD7FA8",
+            "brightRed":  "#EF2929",
+            "brightWhite":  "#EEEEEE",
+            "brightYellow":  "#FCE94F",
+            "cyan":  "#06989A",
+            "foreground":  "#EEEEEE",
+            "green": "#4E9A06",
+            "name":  "UbuntuLegit",
+            "purple":  "#75507B",
+            "red":  "#CC0000",
+            "white":  "#D3D7CF",
+            "yellow":  "#C4A000"
+        }
+
+    ],
+
+    // Add any keybinding overrides to this array.
+    // To unbind a default keybinding, set the command to "unbound"
+    "keybindings": []
+}
diff --git a/notebooks/Amortization-Corrected-Final.ipynb b/notebooks/Amortization-Corrected-Final.ipynb
index 1746045..39c92d1 100644
--- a/notebooks/Amortization-Corrected-Final.ipynb
+++ b/notebooks/Amortization-Corrected-Final.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "Updated Notebook from Practical Business Python.\n",
     "\n",
-    "Original article had a model that did not work correctly. This notebook is for the [updated article](amortization-model-revised.html).\n",
+    "Original article had a model that did not work correctly. This notebook is for the [updated article](http://pbpython.com/amortization-model-revised.html).\n",
     "\n",
     "Many thanks to the individuals that helped me fix the errors. The solution below is based heavily on this [gist](https://gist.github.com/sjmallon/e1ca2aee4574d5517b8d31c93832222a) and comments on [reddit](https://www.reddit.com/r/Python/comments/5e3xab/building_a_financial_model_with_pandas/?st=iwjk8alv&sh=d721fcd7)."
    ]
@@ -160,9 +160,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "df, stats = amortization_table(700000, .04, 30, addl_principal=200, start_date=date(2016, 1,1))"
@@ -171,9 +169,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -201,14 +197,25 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -311,14 +318,25 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -428,9 +446,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "schedule1, stats1 = amortization_table(100000, .04, 30, addl_principal=50, start_date=date(2016,1,1))\n",
@@ -441,14 +457,25 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -544,15 +571,13 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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jozEay6fNjomJITY2FoPBQFRUFN27dwfKu7UtX76ckpISevbsaWnwKS0t5a23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\nKCoqYtWqVVRUVJCWlub60uwu7aIzcXB3m5BkYbCmpiaWLl3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osz5EjP0b/HIY59xncT7/OM5Na5FlpXXSDkWpa+dKo8+aNYvAwEAmTJjAl19+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\nWEqdmwAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f28e7543eb8>"
+       "<matplotlib.figure.Figure at 0x7ff388774a58>"
       ]
      },
      "metadata": {},
@@ -570,9 +595,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def make_plot_data(schedule, stats):\n",
@@ -594,15 +617,13 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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pE3NzczFnzhx4enpi5MiR+Ouvvyrdnsow6cEjZGSaVOS+X3JKtKoyXxIK2JRelbphw4bY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\nEZGkMLEREZGk/D+TUutQNGCoQwAAAABJRU5ErkJggg==\n",
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MGSJOHPCuvN52VVJQhaCkFixYAE9PTyxYsKDI99+c1SczMxNDhgyBu7s7PD09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\nspjkiIhIspjkiIhIspjkiIhIsv4//4y58SPBwgAAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f28e75d6dd8>"
+       "<matplotlib.figure.Figure at 0x7ff38847a9e8>"
       ]
      },
      "metadata": {},
@@ -621,15 +642,13 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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y7t2rfi6xURsw26c9q553JP/WXebsvMC3d9tx90/zEJdvhl6u6LZvRrd4Drq98Ui3SlpY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49sYl4eSMMvA+lDc+RRn/Enj5oi7/EtM/H8X05buoWRm1PldJuhPExcUxcODA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\nSZITycIqSZIkSU70/wPAX6hvnyGMsAAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f28e4959400>"
+       "<matplotlib.figure.Figure at 0x7ff38823b198>"
       ]
      },
      "metadata": {},
@@ -660,7 +679,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python [default]",
    "language": "python",
    "name": "python3"
   },
@@ -678,5 +697,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/notebooks/Amortization-Model-Article.ipynb b/notebooks/Amortization-Model-Article.ipynb
index 3537725..1e29e10 100644
--- a/notebooks/Amortization-Model-Article.ipynb
+++ b/notebooks/Amortization-Model-Article.ipynb
@@ -24,9 +24,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -39,9 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "%matplotlib inline"
@@ -50,9 +46,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "matplotlib.style.use('ggplot')"
@@ -67,10 +61,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def amortization_table(interest_rate, years, payments_year, principal, addl_principal=0, start_date=date.today()):\n",
@@ -138,26 +130,26 @@
     "    if addl_principal != 0:\n",
     "                \n",
     "        # Remove the extra payment periods\n",
-    "        df = df.ix[0:last_payment].copy()\n",
+    "        df = df.loc[0:last_payment].copy()\n",
     "        \n",
     "        # Calculate the principal for the last row\n",
-    "        df.ix[last_payment, \"Principal\"] = -(df.ix[last_payment-1, \"Curr_Balance\"])\n",
+    "        df.loc[last_payment, \"Principal\"] = -(df.loc[last_payment-1, \"Curr_Balance\"])\n",
     "        \n",
     "        # Calculate the total payment for the last row\n",
-    "        df.ix[last_payment, \"Payment\"] = df.ix[last_payment, [\"Principal\", \"Interest\"]].sum()\n",
+    "        df.loc[last_payment, \"Payment\"] = df.loc[last_payment, [\"Principal\", \"Interest\"]].sum()\n",
     "        \n",
     "        # Zero out the additional principal\n",
-    "        df.ix[last_payment, \"Addl_Principal\"] = 0\n",
+    "        df.loc[last_payment, \"Addl_Principal\"] = 0\n",
     "        \n",
     "    # Get the payment info into a DataFrame in column order\n",
     "    payment_info = (df[[\"Payment\", \"Principal\", \"Addl_Principal\", \"Interest\"]]\n",
     "                    .sum().to_frame().T)\n",
     "       \n",
     "    # Format the Date DataFrame\n",
-    "    payment_details = pd.DataFrame.from_items([('payoff_date', [last_payment_date]),\n",
+    "    payment_details = pd.DataFrame.from_dict(dict([('payoff_date', [last_payment_date]),\n",
     "                                               ('Interest Rate', [interest_rate]),\n",
     "                                               ('Number of years', [years])\n",
-    "                                              ])\n",
+    "                                              ]))\n",
     "    # Add a column showing how much we pay each period.\n",
     "    # Combine addl principal with principal for total payment\n",
     "    payment_details[\"Period_Payment\"] = round(per_payment, 2) + addl_principal\n",
@@ -176,10 +168,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
     "schedule1, stats1 = amortization_table(0.05, 30, 12, 100000, addl_principal=0)"
@@ -194,15 +184,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -229,7 +230,7 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2016-12-01</td>\n",
+       "      <td>2020-01-01</td>\n",
        "      <td>-536.82</td>\n",
        "      <td>-120.15</td>\n",
        "      <td>-416.67</td>\n",
@@ -239,7 +240,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2017-01-01</td>\n",
+       "      <td>2020-02-01</td>\n",
        "      <td>-536.82</td>\n",
        "      <td>-120.66</td>\n",
        "      <td>-416.17</td>\n",
@@ -249,7 +250,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2017-02-01</td>\n",
+       "      <td>2020-03-01</td>\n",
        "      <td>-536.82</td>\n",
        "      <td>-121.16</td>\n",
        "      <td>-415.66</td>\n",
@@ -259,7 +260,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2017-03-01</td>\n",
+       "      <td>2020-04-01</td>\n",
        "      <td>-536.82</td>\n",
        "      <td>-121.66</td>\n",
        "      <td>-415.16</td>\n",
@@ -269,7 +270,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>2017-04-01</td>\n",
+       "      <td>2020-05-01</td>\n",
        "      <td>-536.82</td>\n",
        "      <td>-122.17</td>\n",
        "      <td>-414.65</td>\n",
@@ -284,11 +285,11 @@
       "text/plain": [
        "       Payment_Date  Payment  Principal  Interest  Addl_Principal  \\\n",
        "Period                                                              \n",
-       "1        2016-12-01  -536.82    -120.15   -416.67               0   \n",
-       "2        2017-01-01  -536.82    -120.66   -416.17               0   \n",
-       "3        2017-02-01  -536.82    -121.16   -415.66               0   \n",
-       "4        2017-03-01  -536.82    -121.66   -415.16               0   \n",
-       "5        2017-04-01  -536.82    -122.17   -414.65               0   \n",
+       "1        2020-01-01  -536.82    -120.15   -416.67               0   \n",
+       "2        2020-02-01  -536.82    -120.66   -416.17               0   \n",
+       "3        2020-03-01  -536.82    -121.16   -415.66               0   \n",
+       "4        2020-04-01  -536.82    -121.66   -415.16               0   \n",
+       "5        2020-05-01  -536.82    -122.17   -414.65               0   \n",
        "\n",
        "        Curr_Balance  Cumulative_Principal  \n",
        "Period                                      \n",
@@ -299,7 +300,7 @@
        "5           99394.20               -605.80  "
       ]
      },
-     "execution_count": 22,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -310,15 +311,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -345,7 +357,7 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>356</th>\n",
-       "      <td>2046-07-01</td>\n",
+       "      <td>2049-08-01</td>\n",
        "      <td>-536.82</td>\n",
        "      <td>-525.78</td>\n",
        "      <td>-11.05</td>\n",
@@ -355,7 +367,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>357</th>\n",
-       "      <td>2046-08-01</td>\n",
+       "      <td>2049-09-01</td>\n",
        "      <td>-536.82</td>\n",
        "      <td>-527.97</td>\n",
        "      <td>-8.85</td>\n",
@@ -365,7 +377,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>358</th>\n",
-       "      <td>2046-09-01</td>\n",
+       "      <td>2049-10-01</td>\n",
        "      <td>-536.82</td>\n",
        "      <td>-530.17</td>\n",
        "      <td>-6.65</td>\n",
@@ -375,7 +387,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>359</th>\n",
-       "      <td>2046-10-01</td>\n",
+       "      <td>2049-11-01</td>\n",
        "      <td>-536.82</td>\n",
        "      <td>-532.38</td>\n",
        "      <td>-4.45</td>\n",
@@ -385,7 +397,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>360</th>\n",
-       "      <td>2046-11-01</td>\n",
+       "      <td>2049-12-01</td>\n",
        "      <td>-536.82</td>\n",
        "      <td>-534.59</td>\n",
        "      <td>-2.23</td>\n",
@@ -400,11 +412,11 @@
       "text/plain": [
        "       Payment_Date  Payment  Principal  Interest  Addl_Principal  \\\n",
        "Period                                                              \n",
-       "356      2046-07-01  -536.82    -525.78    -11.05               0   \n",
-       "357      2046-08-01  -536.82    -527.97     -8.85               0   \n",
-       "358      2046-09-01  -536.82    -530.17     -6.65               0   \n",
-       "359      2046-10-01  -536.82    -532.38     -4.45               0   \n",
-       "360      2046-11-01  -536.82    -534.59     -2.23               0   \n",
+       "356      2049-08-01  -536.82    -525.78    -11.05               0   \n",
+       "357      2049-09-01  -536.82    -527.97     -8.85               0   \n",
+       "358      2049-10-01  -536.82    -530.17     -6.65               0   \n",
+       "359      2049-11-01  -536.82    -532.38     -4.45               0   \n",
+       "360      2049-12-01  -536.82    -534.59     -2.23               0   \n",
        "\n",
        "        Curr_Balance  Cumulative_Principal  \n",
        "Period                                      \n",
@@ -415,7 +427,7 @@
        "360             0.00            -100000.00  "
       ]
      },
-     "execution_count": 23,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -426,15 +438,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -452,7 +475,7 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>11-01-2046</td>\n",
+       "      <td>12-01-2049</td>\n",
        "      <td>0.05</td>\n",
        "      <td>30</td>\n",
        "      <td>-536.82</td>\n",
@@ -467,13 +490,13 @@
       ],
       "text/plain": [
        "  payoff_date  Interest Rate  Number of years  Period_Payment   Payment  \\\n",
-       "0  11-01-2046           0.05               30         -536.82 -193255.2   \n",
+       "0  12-01-2049           0.05               30         -536.82 -193255.2   \n",
        "\n",
        "   Principal  Addl_Principal  Interest  \n",
        "0 -100000.02             0.0 -93255.69  "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -491,10 +514,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [],
    "source": [
     "schedule2, stats2 = amortization_table(0.05, 30, 12, 100000, addl_principal=-200)\n",
@@ -503,15 +524,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -529,7 +561,7 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>11-01-2046</td>\n",
+       "      <td>12-01-2049</td>\n",
        "      <td>0.05</td>\n",
        "      <td>30</td>\n",
        "      <td>-536.82</td>\n",
@@ -540,7 +572,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>04-01-2037</td>\n",
+       "      <td>05-01-2040</td>\n",
        "      <td>0.05</td>\n",
        "      <td>30</td>\n",
        "      <td>-736.82</td>\n",
@@ -551,7 +583,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>11-01-2031</td>\n",
+       "      <td>12-01-2034</td>\n",
        "      <td>0.04</td>\n",
        "      <td>15</td>\n",
        "      <td>-739.69</td>\n",
@@ -566,9 +598,9 @@
       ],
       "text/plain": [
        "  payoff_date  Interest Rate  Number of years  Period_Payment    Payment  \\\n",
-       "0  11-01-2046           0.05               30         -536.82 -193255.20   \n",
-       "1  04-01-2037           0.05               30         -736.82 -131689.78   \n",
-       "2  11-01-2031           0.04               15         -739.69 -133144.20   \n",
+       "0  12-01-2049           0.05               30         -536.82 -193255.20   \n",
+       "1  05-01-2040           0.05               30         -736.82 -131689.78   \n",
+       "2  12-01-2034           0.04               15         -739.69 -133144.20   \n",
        "\n",
        "   Principal  Addl_Principal  Interest  \n",
        "0 -100000.02             0.0 -93255.69  \n",
@@ -576,7 +608,7 @@
        "2 -100000.03             0.0 -33143.85  "
       ]
      },
-     "execution_count": 26,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -588,15 +620,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -623,7 +666,7 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>2016-12-01</td>\n",
+       "      <td>2020-01-01</td>\n",
        "      <td>-739.69</td>\n",
        "      <td>-406.35</td>\n",
        "      <td>-333.33</td>\n",
@@ -633,7 +676,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2017-01-01</td>\n",
+       "      <td>2020-02-01</td>\n",
        "      <td>-739.69</td>\n",
        "      <td>-407.71</td>\n",
        "      <td>-331.98</td>\n",
@@ -643,7 +686,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2017-02-01</td>\n",
+       "      <td>2020-03-01</td>\n",
        "      <td>-739.69</td>\n",
        "      <td>-409.07</td>\n",
        "      <td>-330.62</td>\n",
@@ -653,7 +696,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2017-03-01</td>\n",
+       "      <td>2020-04-01</td>\n",
        "      <td>-739.69</td>\n",
        "      <td>-410.43</td>\n",
        "      <td>-329.26</td>\n",
@@ -663,7 +706,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>2017-04-01</td>\n",
+       "      <td>2020-05-01</td>\n",
        "      <td>-739.69</td>\n",
        "      <td>-411.80</td>\n",
        "      <td>-327.89</td>\n",
@@ -678,11 +721,11 @@
       "text/plain": [
        "       Payment_Date  Payment  Principal  Interest  Addl_Principal  \\\n",
        "Period                                                              \n",
-       "1        2016-12-01  -739.69    -406.35   -333.33               0   \n",
-       "2        2017-01-01  -739.69    -407.71   -331.98               0   \n",
-       "3        2017-02-01  -739.69    -409.07   -330.62               0   \n",
-       "4        2017-03-01  -739.69    -410.43   -329.26               0   \n",
-       "5        2017-04-01  -739.69    -411.80   -327.89               0   \n",
+       "1        2020-01-01  -739.69    -406.35   -333.33               0   \n",
+       "2        2020-02-01  -739.69    -407.71   -331.98               0   \n",
+       "3        2020-03-01  -739.69    -409.07   -330.62               0   \n",
+       "4        2020-04-01  -739.69    -410.43   -329.26               0   \n",
+       "5        2020-05-01  -739.69    -411.80   -327.89               0   \n",
        "\n",
        "        Curr_Balance  Cumulative_Principal  \n",
        "Period                                      \n",
@@ -693,7 +736,7 @@
        "5           97954.64              -2045.36  "
       ]
      },
-     "execution_count": 27,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -711,16 +754,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [
     {
      "data": {
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qbUfM+U9hrn0VfSbP0aEJUSOkWAhRBcrjv+MZs5ZDQX7p/RlbPkebJY4OTYhq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\nDyFl3zW8IkI0AAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f55e4879f28>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -733,16 +774,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 13,
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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lanRPVQhXN7RHnkIbNRn5y3/R57yBPGu51DWKUl4qWNQS13R4p1Xv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\naWlpe1W3xVoa34kTJ3j33XeZO3cuAEePHqW0tJSHHnqIsrI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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f55e4729ef0>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -759,16 +798,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 14,
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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lwKZ+X2BuuGLnaNtWVavV8tRTTzFhwgSWLl2KzWYDuOC2qklJSRw4cEDdVlWn07XbVrVN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\nEEII0SEJCyGEEB36/wGMtKa6PM6z5QAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f55e46d6048>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -792,16 +829,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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1CtXV1RBCICgoCPfddx+6deuG2NhYJCQkwN3dHVFRUQAAT09PBAYGIioqCra2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\n",
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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f55e46db668>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -817,6 +852,13 @@
     "\n",
     "plt.title(\"Interest Payments\");"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -835,9 +877,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.2"
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/notebooks/Bokeh-Bullet-Graph.ipynb b/notebooks/Bokeh-Bullet-Graph.ipynb
new file mode 100644
index 0000000..aae6c9d
--- /dev/null
+++ b/notebooks/Bokeh-Bullet-Graph.ipynb
@@ -0,0 +1,736 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating a bullet graph using Bokeh\n",
+    "\n",
+    "This is the notebook associated with the article at [Pbpython.com](http://pbpython.com/bokeh-bullet-waterfall.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bokeh.io import show, output_notebook\n",
+    "from bokeh.palettes import PuBu4\n",
+    "from bokeh.plotting import figure\n",
+    "from bokeh.models import Label"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div class=\"bk-root\">\n",
+       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
+       "        <span id=\"2635364d-431d-42ef-b4ee-b905236cc8ef\">Loading BokehJS ...</span>\n",
+       "    </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "\n",
+       "  if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
+       "    root._bokeh_onload_callbacks = [];\n",
+       "    root._bokeh_is_loading = undefined;\n",
+       "  }\n",
+       "\n",
+       "  var JS_MIME_TYPE = 'application/javascript';\n",
+       "  var HTML_MIME_TYPE = 'text/html';\n",
+       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
+       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
+       "\n",
+       "  /**\n",
+       "   * Render data to the DOM node\n",
+       "   */\n",
+       "  function render(props, node) {\n",
+       "    var script = document.createElement(\"script\");\n",
+       "    node.appendChild(script);\n",
+       "  }\n",
+       "\n",
+       "  /**\n",
+       "   * Handle when an output is cleared or removed\n",
+       "   */\n",
+       "  function handleClearOutput(event, handle) {\n",
+       "    var cell = handle.cell;\n",
+       "\n",
+       "    var id = cell.output_area._bokeh_element_id;\n",
+       "    var server_id = cell.output_area._bokeh_server_id;\n",
+       "    // Clean up Bokeh references\n",
+       "    if (id !== undefined) {\n",
+       "      Bokeh.index[id].model.document.clear();\n",
+       "      delete Bokeh.index[id];\n",
+       "    }\n",
+       "\n",
+       "    if (server_id !== undefined) {\n",
+       "      // Clean up Bokeh references\n",
+       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
+       "      cell.notebook.kernel.execute(cmd, {\n",
+       "        iopub: {\n",
+       "          output: function(msg) {\n",
+       "            var element_id = msg.content.text.trim();\n",
+       "            Bokeh.index[element_id].model.document.clear();\n",
+       "            delete Bokeh.index[element_id];\n",
+       "          }\n",
+       "        }\n",
+       "      });\n",
+       "      // Destroy server and session\n",
+       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
+       "      cell.notebook.kernel.execute(cmd);\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  /**\n",
+       "   * Handle when a new output is added\n",
+       "   */\n",
+       "  function handleAddOutput(event, handle) {\n",
+       "    var output_area = handle.output_area;\n",
+       "    var output = handle.output;\n",
+       "\n",
+       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
+       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "      return\n",
+       "    }\n",
+       "\n",
+       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "\n",
+       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
+       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
+       "      // store reference to embed id on output_area\n",
+       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "    }\n",
+       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+       "      var bk_div = document.createElement(\"div\");\n",
+       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "      var script_attrs = bk_div.children[0].attributes;\n",
+       "      for (var i = 0; i < script_attrs.length; i++) {\n",
+       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+       "      }\n",
+       "      // store reference to server id on output_area\n",
+       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  function register_renderer(events, OutputArea) {\n",
+       "\n",
+       "    function append_mime(data, metadata, element) {\n",
+       "      // create a DOM node to render to\n",
+       "      var toinsert = this.create_output_subarea(\n",
+       "        metadata,\n",
+       "        CLASS_NAME,\n",
+       "        EXEC_MIME_TYPE\n",
+       "      );\n",
+       "      this.keyboard_manager.register_events(toinsert);\n",
+       "      // Render to node\n",
+       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+       "      render(props, toinsert[toinsert.length - 1]);\n",
+       "      element.append(toinsert);\n",
+       "      return toinsert\n",
+       "    }\n",
+       "\n",
+       "    /* Handle when an output is cleared or removed */\n",
+       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
+       "    events.on('delete.Cell', handleClearOutput);\n",
+       "\n",
+       "    /* Handle when a new output is added */\n",
+       "    events.on('output_added.OutputArea', handleAddOutput);\n",
+       "\n",
+       "    /**\n",
+       "     * Register the mime type and append_mime function with output_area\n",
+       "     */\n",
+       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "      /* Is output safe? */\n",
+       "      safe: true,\n",
+       "      /* Index of renderer in `output_area.display_order` */\n",
+       "      index: 0\n",
+       "    });\n",
+       "  }\n",
+       "\n",
+       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
+       "  if (root.Jupyter !== undefined) {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  \n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\n",
+       "  }\n",
+       "\n",
+       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
+       "     \"<div style='background-color: #fdd'>\\n\"+\n",
+       "     \"<p>\\n\"+\n",
+       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
+       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
+       "     \"</p>\\n\"+\n",
+       "     \"<ul>\\n\"+\n",
+       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
+       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
+       "     \"</ul>\\n\"+\n",
+       "     \"<code>\\n\"+\n",
+       "     \"from bokeh.resources import INLINE\\n\"+\n",
+       "     \"output_notebook(resources=INLINE)\\n\"+\n",
+       "     \"</code>\\n\"+\n",
+       "     \"</div>\"}};\n",
+       "\n",
+       "  function display_loaded() {\n",
+       "    var el = document.getElementById(\"2635364d-431d-42ef-b4ee-b905236cc8ef\");\n",
+       "    if (el != null) {\n",
+       "      el.textContent = \"BokehJS is loading...\";\n",
+       "    }\n",
+       "    if (root.Bokeh !== undefined) {\n",
+       "      if (el != null) {\n",
+       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
+       "      }\n",
+       "    } else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(display_loaded, 100)\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "\n",
+       "  function run_callbacks() {\n",
+       "    try {\n",
+       "      root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
+       "    }\n",
+       "    finally {\n",
+       "      delete root._bokeh_onload_callbacks\n",
+       "    }\n",
+       "    console.info(\"Bokeh: all callbacks have finished\");\n",
+       "  }\n",
+       "\n",
+       "  function load_libs(js_urls, callback) {\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "    if (root._bokeh_is_loading > 0) {\n",
+       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (js_urls == null || js_urls.length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    root._bokeh_is_loading = js_urls.length;\n",
+       "    for (var i = 0; i < js_urls.length; i++) {\n",
+       "      var url = js_urls[i];\n",
+       "      var s = document.createElement('script');\n",
+       "      s.src = url;\n",
+       "      s.async = false;\n",
+       "      s.onreadystatechange = s.onload = function() {\n",
+       "        root._bokeh_is_loading--;\n",
+       "        if (root._bokeh_is_loading === 0) {\n",
+       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
+       "          run_callbacks()\n",
+       "        }\n",
+       "      };\n",
+       "      s.onerror = function() {\n",
+       "        console.warn(\"failed to load library \" + url);\n",
+       "      };\n",
+       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "    }\n",
+       "  };var element = document.getElementById(\"2635364d-431d-42ef-b4ee-b905236cc8ef\");\n",
+       "  if (element == null) {\n",
+       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '2635364d-431d-42ef-b4ee-b905236cc8ef' but no matching script tag was found. \")\n",
+       "    return false;\n",
+       "  }\n",
+       "\n",
+       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.15.min.js\"];\n",
+       "\n",
+       "  var inline_js = [\n",
+       "    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      \n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.css\");\n",
+       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.css\");\n",
+       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.css\");\n",
+       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.css\");\n",
+       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.css\");\n",
+       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.css\");\n",
+       "    }\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    \n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "        inline_js[i].call(root, root.Bokeh);\n",
+       "      }if (force === true) {\n",
+       "        display_loaded();\n",
+       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(run_inline_js, 100);\n",
+       "    } else if (!root._bokeh_failed_load) {\n",
+       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "      root._bokeh_failed_load = true;\n",
+       "    } else if (force !== true) {\n",
+       "      var cell = $(document.getElementById(\"2635364d-431d-42ef-b4ee-b905236cc8ef\")).parents('.cell').data().cell;\n",
+       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
+       "    }\n",
+       "\n",
+       "  }\n",
+       "\n",
+       "  if (root._bokeh_is_loading === 0) {\n",
+       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+       "    run_inline_js();\n",
+       "  } else {\n",
+       "    load_libs(js_urls, function() {\n",
+       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "      run_inline_js();\n",
+       "    });\n",
+       "  }\n",
+       "}(window));"
+      ],
+      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"2635364d-431d-42ef-b4ee-b905236cc8ef\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"2635364d-431d-42ef-b4ee-b905236cc8ef\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '2635364d-431d-42ef-b4ee-b905236cc8ef' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.15.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"2635364d-431d-42ef-b4ee-b905236cc8ef\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "output_notebook()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load in the data\n",
+    "data= [(\"John Smith\", 105, 120),\n",
+    "       (\"Jane Jones\", 99, 110),\n",
+    "       (\"Fred Flintstone\", 109, 125),\n",
+    "       (\"Barney Rubble\", 135, 123),\n",
+    "       (\"Mr T\", 45, 105)]\n",
+    "\n",
+    "limits = [0, 20, 60, 100, 160]\n",
+    "labels = [\"Poor\", \"OK\", \"Good\", \"Excellent\"]\n",
+    "cats = [x[0] for x in data]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create the base figure\n",
+    "p=figure(title=\"Sales Rep Performance\", plot_height=350, plot_width=800, y_range=cats)\n",
+    "p.x_range.range_padding = 0\n",
+    "p.grid.grid_line_color = None\n",
+    "p.xaxis[0].ticker.num_minor_ticks = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[(0, 20, '#f1eef6'), (20, 60, '#bdc9e1'), (60, 100, '#74a9cf'), (100, 160, '#0570b0')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Here's the format of the data we need\n",
+    "print(list(zip(limits[:-1], limits[1:], PuBu4[::-1])))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for left, right, color in zip(limits[:-1], limits[1:], PuBu4[::-1]):\n",
+    "    p.hbar(y=cats, left=left, right=right, height=0.8, color=color)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div class=\"bk-root\">\n",
+       "    <div class=\"bk-plotdiv\" id=\"c6fbe74e-4e0d-4358-ad9a-813f9c885222\"></div>\n",
+       "</div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function embed_document(root) {\n",
+       "    \n",
+       "  var docs_json = {\"eef8804d-cebd-42ec-ae64-4bc95ddcde50\":{\"roots\":{\"references\":[{\"attributes\":{\"source\":{\"id\":\"dadc36f7-7d9e-47fa-bcfc-7995cca6df47\",\"type\":\"ColumnDataSource\"}},\"id\":\"5f6e25e9-323e-4cc3-b15b-be7ad4751f1c\",\"type\":\"CDSView\"},{\"attributes\":{\"dimension\":1,\"grid_line_color\":{\"value\":null},\"plot\":{\"id\":\"666eb784-dc29-4e39-a981-12ca3eef6744\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"38fb03e2-09e1-4de1-aeaa-2ff363e19f0c\",\"type\":\"CategoricalTicker\"}},\"id\":\"0a6bb0f2-941a-4f6c-a317-9b8074dc94b7\",\"type\":\"Grid\"},{\"attributes\":{\"fill_color\":{\"value\":\"#74a9cf\"},\"height\":{\"value\":0.8},\"left\":{\"value\":60},\"line_color\":{\"value\":\"#74a9cf\"},\"right\":{\"value\":100},\"y\":{\"field\":\"y\"}},\"id\":\"d2f85c2d-a268-46c7-ab0a-a24ffad15610\",\"type\":\"HBar\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"5a9230be-c080-4fd7-a2a0-8974ecb266ef\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"height\":{\"value\":0.8},\"left\":{\"value\":60},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"right\":{\"value\":100},\"y\":{\"field\":\"y\"}},\"id\":\"5de1f8c1-e63f-4e47-87eb-68dea6376b37\",\"type\":\"HBar\"},{\"attributes\":{},\"id\":\"38fb03e2-09e1-4de1-aeaa-2ff363e19f0c\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"34dc53ec-7c6a-44e2-a9bc-e76cac542ca7\",\"type\":\"CategoricalTickFormatter\"},\"plot\":{\"id\":\"666eb784-dc29-4e39-a981-12ca3eef6744\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"38fb03e2-09e1-4de1-aeaa-2ff363e19f0c\",\"type\":\"CategoricalTicker\"}},\"id\":\"60bda504-82f1-4747-9793-1a2d95f45379\",\"type\":\"CategoricalAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"394d3c29-236a-436e-8f21-ec7795c8a38e\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"d2f85c2d-a268-46c7-ab0a-a24ffad15610\",\"type\":\"HBar\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"5de1f8c1-e63f-4e47-87eb-68dea6376b37\",\"type\":\"HBar\"},\"selection_glyph\":null,\"view\":{\"id\":\"774a4509-797b-42f5-bf06-470954774c7c\",\"type\":\"CDSView\"}},\"id\":\"5e38d20a-a939-46a1-91cc-988ca23d2b72\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"31b77228-0194-43b3-8285-40beaa7b39a2\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_color\":{\"value\":\"#f1eef6\"},\"height\":{\"value\":0.8},\"line_color\":{\"value\":\"#f1eef6\"},\"right\":{\"value\":20},\"y\":{\"field\":\"y\"}},\"id\":\"23621143-b8f1-4317-be08-34a588f87f92\",\"type\":\"HBar\"},{\"attributes\":{\"source\":{\"id\":\"394d3c29-236a-436e-8f21-ec7795c8a38e\",\"type\":\"ColumnDataSource\"}},\"id\":\"774a4509-797b-42f5-bf06-470954774c7c\",\"type\":\"CDSView\"},{\"attributes\":{\"fill_color\":{\"value\":\"#0570b0\"},\"height\":{\"value\":0.8},\"left\":{\"value\":100},\"line_color\":{\"value\":\"#0570b0\"},\"right\":{\"value\":160},\"y\":{\"field\":\"y\"}},\"id\":\"0f634aad-fef1-4da5-8485-b7de17593be9\",\"type\":\"HBar\"},{\"attributes\":{},\"id\":\"2f63bb8f-56d7-44dc-8dc8-9c220e0a07a4\",\"type\":\"PanTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"height\":{\"value\":0.8},\"left\":{\"value\":100},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"right\":{\"value\":160},\"y\":{\"field\":\"y\"}},\"id\":\"1bdbaf64-4ab3-4b1c-a703-2b4cdd51a219\",\"type\":\"HBar\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"height\":{\"value\":0.8},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"right\":{\"value\":20},\"y\":{\"field\":\"y\"}},\"id\":\"6386f34e-c85d-4473-adbe-7681bf6d7ac1\",\"type\":\"HBar\"},{\"attributes\":{},\"id\":\"65269a41-7a1f-4d29-a894-471710ff8c6e\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"data_source\":{\"id\":\"49c7823b-7d4b-4888-a7fe-5ec2d85ab8c1\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"0f634aad-fef1-4da5-8485-b7de17593be9\",\"type\":\"HBar\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1bdbaf64-4ab3-4b1c-a703-2b4cdd51a219\",\"type\":\"HBar\"},\"selection_glyph\":null,\"view\":{\"id\":\"b2a285a8-8009-42d8-84e6-570227a7c371\",\"type\":\"CDSView\"}},\"id\":\"d280d2f9-8e67-47aa-9773-90b055196e0a\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"34dc53ec-7c6a-44e2-a9bc-e76cac542ca7\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"grid_line_color\":{\"value\":null},\"plot\":{\"id\":\"666eb784-dc29-4e39-a981-12ca3eef6744\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4a08e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Smith\",\"Jane Jones\",\"Fred Flintstone\",\"Barney Rubble\",\"Mr T\"]},\"selected\":null,\"selection_policy\":null},\"id\":\"9b2ac10d-64d9-458c-b2b9-d1bae3be6fd3\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"below\":[{\"id\":\"21e0f589-705b-4389-8a5d-744e09433947\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"60bda504-82f1-4747-9793-1a2d95f45379\",\"type\":\"CategoricalAxis\"}],\"plot_height\":350,\"plot_width\":800,\"renderers\":[{\"id\":\"21e0f589-705b-4389-8a5d-744e09433947\",\"type\":\"LinearAxis\"},{\"id\":\"175772bc-b6dd-4481-bfe7-32a2f2199020\",\"type\":\"Grid\"},{\"id\":\"60bda504-82f1-4747-9793-1a2d95f45379\",\"type\":\"CategoricalAxis\"},{\"id\":\"0a6bb0f2-941a-4f6c-a317-9b8074dc94b7\",\"type\":\"Grid\"},{\"id\":\"5a9230be-c080-4fd7-a2a0-8974ecb266ef\",\"type\":\"BoxAnnotation\"},{\"id\":\"f6f2006d-a9a0-4f1a-a58f-1c92f0090cf3\",\"type\":\"GlyphRenderer\"},{\"id\":\"7564abb5-3afa-4be6-872a-0f7364d57e98\",\"type\":\"GlyphRenderer\"},{\"id\":\"5e38d20a-a939-46a1-91cc-988ca23d2b72\",\"type\":\"GlyphRenderer\"},{\"id\":\"d280d2f9-8e67-47aa-9773-90b055196e0a\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"5f2a51c9-8834-4321-a726-ad4745c1e49a\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"f963482c-d806-412f-b20b-0704754bde06\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"3a7d2eae-34fd-4099-8058-10909276bcb3\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"37f43edc-663e-44aa-b335-1ac1452b5a4b\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"0f17fc0a-3fc1-4991-9e63-90158fc0fc26\",\"type\":\"FactorRange\"},\"y_scale\":{\"id\":\"7496bf3b-691a-403f-b62b-525c4f1a1ebf\",\"type\":\"CategoricalScale\"}},\"id\":\"666eb784-dc29-4e39-a981-12ca3eef6744\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":null,\"text\":\"Sales Rep Performance\"},\"id\":\"5f2a51c9-8834-4321-a726-ad4745c1e49a\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\"],\"data\":{\"y\":[\"John Smith\",\"Jane Jones\",\"Fred Flintstone\",\"Barney Rubble\",\"Mr T\"]},\"selected\":null,\"selection_policy\":null},\"id\":\"dadc36f7-7d9e-47fa-bcfc-7995cca6df47\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"7496bf3b-691a-403f-b62b-525c4f1a1ebf\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\"],\"data\":{\"y\":[\"John Smith\",\"Jane Jones\",\"Fred Flintstone\",\"Barney Rubble\",\"Mr T\"]},\"selected\":null,\"selection_policy\":null},\"id\":\"49c7823b-7d4b-4888-a7fe-5ec2d85ab8c1\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"range_padding\":0},\"id\":\"3a7d2eae-34fd-4099-8058-10909276bcb3\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data_source\":{\"id\":\"dadc36f7-7d9e-47fa-bcfc-7995cca6df47\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"39d7b951-2cda-4b72-9cdd-178e2788bc0a\",\"type\":\"HBar\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"11532321-cbd2-48c7-96ca-091f96ffcb79\",\"type\":\"HBar\"},\"selection_glyph\":null,\"view\":{\"id\":\"5f6e25e9-323e-4cc3-b15b-be7ad4751f1c\",\"type\":\"CDSView\"}},\"id\":\"7564abb5-3afa-4be6-872a-0f7364d57e98\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"factors\":[\"John Smith\",\"Jane Jones\",\"Fred Flintstone\",\"Barney Rubble\",\"Mr T\"]},\"id\":\"0f17fc0a-3fc1-4991-9e63-90158fc0fc26\",\"type\":\"FactorRange\"},{\"attributes\":{\"fill_color\":{\"value\":\"#bdc9e1\"},\"height\":{\"value\":0.8},\"left\":{\"value\":20},\"line_color\":{\"value\":\"#bdc9e1\"},\"right\":{\"value\":60},\"y\":{\"field\":\"y\"}},\"id\":\"39d7b951-2cda-4b72-9cdd-178e2788bc0a\",\"type\":\"HBar\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"2f63bb8f-56d7-44dc-8dc8-9c220e0a07a4\",\"type\":\"PanTool\"},{\"id\":\"65269a41-7a1f-4d29-a894-471710ff8c6e\",\"type\":\"WheelZoomTool\"},{\"id\":\"51146cbe-b2db-4fbc-a213-92656eac8785\",\"type\":\"BoxZoomTool\"},{\"id\":\"d581a3c9-f86b-458c-8f04-b4f10494b97f\",\"type\":\"SaveTool\"},{\"id\":\"8f6e5add-ac6f-424b-a305-fb18c3ee039d\",\"type\":\"ResetTool\"},{\"id\":\"132cea88-1051-4597-bb86-45986e2ae737\",\"type\":\"HelpTool\"}]},\"id\":\"f963482c-d806-412f-b20b-0704754bde06\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\"],\"data\":{\"y\":[\"John Smith\",\"Jane Jones\",\"Fred Flintstone\",\"Barney Rubble\",\"Mr T\"]},\"selected\":null,\"selection_policy\":null},\"id\":\"394d3c29-236a-436e-8f21-ec7795c8a38e\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"37f43edc-663e-44aa-b335-1ac1452b5a4b\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"height\":{\"value\":0.8},\"left\":{\"value\":20},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"right\":{\"value\":60},\"y\":{\"field\":\"y\"}},\"id\":\"11532321-cbd2-48c7-96ca-091f96ffcb79\",\"type\":\"HBar\"}],\"root_ids\":[\"666eb784-dc29-4e39-a981-12ca3eef6744\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.15\"}};\n",
+       "  var render_items = [{\"docid\":\"eef8804d-cebd-42ec-ae64-4bc95ddcde50\",\"elementid\":\"c6fbe74e-4e0d-4358-ad9a-813f9c885222\",\"modelid\":\"666eb784-dc29-4e39-a981-12ca3eef6744\"}];\n",
+       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "\n",
+       "  }\n",
+       "  if (root.Bokeh !== undefined) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (root.Bokeh !== undefined) {\n",
+       "        embed_document(root);\n",
+       "        clearInterval(timer);\n",
+       "      }\n",
+       "      attempts++;\n",
+       "      if (attempts > 100) {\n",
+       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+       "        clearInterval(timer);\n",
+       "      }\n",
+       "    }, 10, root)\n",
+       "  }\n",
+       "})(window);"
+      ],
+      "application/vnd.bokehjs_exec.v0+json": ""
+     },
+     "metadata": {
+      "application/vnd.bokehjs_exec.v0+json": {
+       "id": "666eb784-dc29-4e39-a981-12ca3eef6744"
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "show(p)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"display: table;\"><div style=\"display: table-row;\"><div style=\"display: table-cell;\"><b title=\"bokeh.models.renderers.GlyphRenderer\">GlyphRenderer</b>(</div><div style=\"display: table-cell;\">id&nbsp;=&nbsp;'b74dd2be-5247-49c2-8f91-74b8b95b65c3', <span id=\"7c6a0733-4531-4bee-b99e-d5153523e3c1\" style=\"cursor: pointer;\">&hellip;)</span></div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">data_source&nbsp;=&nbsp;ColumnDataSource(id='16e81a84-0e42-40bc-b65c-052d37b77e4a', ...),</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">glyph&nbsp;=&nbsp;HBar(id='b9dc72ae-b295-4fd6-add7-d805fa6e381a', ...),</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">hover_glyph&nbsp;=&nbsp;None,</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_event_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_property_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">level&nbsp;=&nbsp;'glyph',</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">muted&nbsp;=&nbsp;False,</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">muted_glyph&nbsp;=&nbsp;None,</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">name&nbsp;=&nbsp;None,</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">nonselection_glyph&nbsp;=&nbsp;HBar(id='0e6796bb-e53e-48aa-bd0f-594b9a3f83df', ...),</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">selection_glyph&nbsp;=&nbsp;None,</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">subscribed_events&nbsp;=&nbsp;[],</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">tags&nbsp;=&nbsp;[],</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">view&nbsp;=&nbsp;CDSView(id='e241765e-3b5a-4be2-af7e-984e7aa9a21e', ...),</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">visible&nbsp;=&nbsp;True,</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">x_range_name&nbsp;=&nbsp;'default',</div></div><div class=\"d00c4ed0-65cf-41ac-8245-4af2a337947e\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">y_range_name&nbsp;=&nbsp;'default')</div></div></div>\n",
+       "<script>\n",
+       "(function() {\n",
+       "  var expanded = false;\n",
+       "  var ellipsis = document.getElementById(\"7c6a0733-4531-4bee-b99e-d5153523e3c1\");\n",
+       "  ellipsis.addEventListener(\"click\", function() {\n",
+       "    var rows = document.getElementsByClassName(\"d00c4ed0-65cf-41ac-8245-4af2a337947e\");\n",
+       "    for (var i = 0; i < rows.length; i++) {\n",
+       "      var el = rows[i];\n",
+       "      el.style.display = expanded ? \"none\" : \"table-row\";\n",
+       "    }\n",
+       "    ellipsis.innerHTML = expanded ? \"&hellip;)\" : \"&lsaquo;&lsaquo;&lsaquo;\";\n",
+       "    expanded = !expanded;\n",
+       "  });\n",
+       "})();\n",
+       "</script>\n"
+      ],
+      "text/plain": [
+       "GlyphRenderer(id='b74dd2be-5247-49c2-8f91-74b8b95b65c3', ...)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now add the black bars for the actual performance\n",
+    "perf = [x[1] for x in data]\n",
+    "p.hbar(y=cats, left=0, right=perf, height=0.3, color=\"black\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div class=\"bk-root\">\n",
+       "    <div class=\"bk-plotdiv\" id=\"57b1a35c-0eee-4f2a-8540-d7303201dfb4\"></div>\n",
+       "</div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function embed_document(root) {\n",
+       "    \n",
+       "  var docs_json = 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T\"]},\"id\":\"0f17fc0a-3fc1-4991-9e63-90158fc0fc26\",\"type\":\"FactorRange\"},{\"attributes\":{\"fill_color\":{\"value\":\"#bdc9e1\"},\"height\":{\"value\":0.8},\"left\":{\"value\":20},\"line_color\":{\"value\":\"#bdc9e1\"},\"right\":{\"value\":60},\"y\":{\"field\":\"y\"}},\"id\":\"39d7b951-2cda-4b72-9cdd-178e2788bc0a\",\"type\":\"HBar\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"2f63bb8f-56d7-44dc-8dc8-9c220e0a07a4\",\"type\":\"PanTool\"},{\"id\":\"65269a41-7a1f-4d29-a894-471710ff8c6e\",\"type\":\"WheelZoomTool\"},{\"id\":\"51146cbe-b2db-4fbc-a213-92656eac8785\",\"type\":\"BoxZoomTool\"},{\"id\":\"d581a3c9-f86b-458c-8f04-b4f10494b97f\",\"type\":\"SaveTool\"},{\"id\":\"8f6e5add-ac6f-424b-a305-fb18c3ee039d\",\"type\":\"ResetTool\"},{\"id\":\"132cea88-1051-4597-bb86-45986e2ae737\",\"type\":\"HelpTool\"}]},\"id\":\"f963482c-d806-412f-b20b-0704754bde06\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\"],\"data\":{\"y\":[\"John Smith\",\"Jane Jones\",\"Fred Flintstone\",\"Barney Rubble\",\"Mr T\"]},\"selected\":null,\"selection_policy\":null},\"id\":\"394d3c29-236a-436e-8f21-ec7795c8a38e\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"37f43edc-663e-44aa-b335-1ac1452b5a4b\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"height\":{\"value\":0.8},\"left\":{\"value\":20},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"right\":{\"value\":60},\"y\":{\"field\":\"y\"}},\"id\":\"11532321-cbd2-48c7-96ca-091f96ffcb79\",\"type\":\"HBar\"}],\"root_ids\":[\"666eb784-dc29-4e39-a981-12ca3eef6744\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.15\"}};\n",
+       "  var render_items = [{\"docid\":\"6cf75f4a-ef1a-40fc-ab19-6d3c39ccc24a\",\"elementid\":\"57b1a35c-0eee-4f2a-8540-d7303201dfb4\",\"modelid\":\"666eb784-dc29-4e39-a981-12ca3eef6744\"}];\n",
+       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "\n",
+       "  }\n",
+       "  if (root.Bokeh !== undefined) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (root.Bokeh !== undefined) {\n",
+       "        embed_document(root);\n",
+       "        clearInterval(timer);\n",
+       "      }\n",
+       "      attempts++;\n",
+       "      if (attempts > 100) {\n",
+       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+       "        clearInterval(timer);\n",
+       "      }\n",
+       "    }, 10, root)\n",
+       "  }\n",
+       "})(window);"
+      ],
+      "application/vnd.bokehjs_exec.v0+json": ""
+     },
+     "metadata": {
+      "application/vnd.bokehjs_exec.v0+json": {
+       "id": "666eb784-dc29-4e39-a981-12ca3eef6744"
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "show(p)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"display: table;\"><div style=\"display: table-row;\"><div style=\"display: table-cell;\"><b title=\"bokeh.models.renderers.GlyphRenderer\">GlyphRenderer</b>(</div><div style=\"display: table-cell;\">id&nbsp;=&nbsp;'4abe5572-1d9d-4d00-8328-3e14208c2059', <span id=\"7fabcec7-3bae-499c-8804-069e1f4dba4d\" style=\"cursor: pointer;\">&hellip;)</span></div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">data_source&nbsp;=&nbsp;ColumnDataSource(id='f0578c05-a4cf-448c-b4fc-ac09307fcb88', ...),</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">glyph&nbsp;=&nbsp;Segment(id='1c2c5e6e-5a1f-4244-b1f2-6a19f83c8189', ...),</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">hover_glyph&nbsp;=&nbsp;None,</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_event_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">js_property_callbacks&nbsp;=&nbsp;{},</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">level&nbsp;=&nbsp;'glyph',</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">muted&nbsp;=&nbsp;False,</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">muted_glyph&nbsp;=&nbsp;None,</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">name&nbsp;=&nbsp;None,</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">nonselection_glyph&nbsp;=&nbsp;Segment(id='0b0f764c-720a-496c-b1ff-e0516ae5d22e', ...),</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">selection_glyph&nbsp;=&nbsp;None,</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">subscribed_events&nbsp;=&nbsp;[],</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">tags&nbsp;=&nbsp;[],</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">view&nbsp;=&nbsp;CDSView(id='7acc21a1-79b4-442f-ab3c-18c288dc190c', ...),</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">visible&nbsp;=&nbsp;True,</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">x_range_name&nbsp;=&nbsp;'default',</div></div><div class=\"f6be8d23-adf5-4024-9056-8078897d21ff\" style=\"display: none;\"><div style=\"display: table-cell;\"></div><div style=\"display: table-cell;\">y_range_name&nbsp;=&nbsp;'default')</div></div></div>\n",
+       "<script>\n",
+       "(function() {\n",
+       "  var expanded = false;\n",
+       "  var ellipsis = document.getElementById(\"7fabcec7-3bae-499c-8804-069e1f4dba4d\");\n",
+       "  ellipsis.addEventListener(\"click\", function() {\n",
+       "    var rows = document.getElementsByClassName(\"f6be8d23-adf5-4024-9056-8078897d21ff\");\n",
+       "    for (var i = 0; i < rows.length; i++) {\n",
+       "      var el = rows[i];\n",
+       "      el.style.display = expanded ? \"none\" : \"table-row\";\n",
+       "    }\n",
+       "    ellipsis.innerHTML = expanded ? \"&hellip;)\" : \"&lsaquo;&lsaquo;&lsaquo;\";\n",
+       "    expanded = !expanded;\n",
+       "  });\n",
+       "})();\n",
+       "</script>\n"
+      ],
+      "text/plain": [
+       "GlyphRenderer(id='4abe5572-1d9d-4d00-8328-3e14208c2059', ...)"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Add the segment for the target\n",
+    "comp = [x[2]for x in data]\n",
+    "p.segment(x0=comp, y0=[(x, -0.5) for x in cats], x1=comp, \n",
+    "          y1=[(x, 0.5) for x in cats], color=\"white\", line_width=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div class=\"bk-root\">\n",
+       "    <div class=\"bk-plotdiv\" id=\"d65f8087-94c4-41e2-9474-7eaa90792ed3\"></div>\n",
+       "</div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function embed_document(root) {\n",
+       "    \n",
+       "  var docs_json = 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Rep Performance\"},\"id\":\"5f2a51c9-8834-4321-a726-ad4745c1e49a\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\"],\"data\":{\"y\":[\"John Smith\",\"Jane Jones\",\"Fred Flintstone\",\"Barney Rubble\",\"Mr T\"]},\"selected\":null,\"selection_policy\":null},\"id\":\"dadc36f7-7d9e-47fa-bcfc-7995cca6df47\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"7496bf3b-691a-403f-b62b-525c4f1a1ebf\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\"],\"data\":{\"y\":[\"John Smith\",\"Jane Jones\",\"Fred Flintstone\",\"Barney Rubble\",\"Mr T\"]},\"selected\":null,\"selection_policy\":null},\"id\":\"49c7823b-7d4b-4888-a7fe-5ec2d85ab8c1\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"callback\":null,\"range_padding\":0},\"id\":\"3a7d2eae-34fd-4099-8058-10909276bcb3\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data_source\":{\"id\":\"dadc36f7-7d9e-47fa-bcfc-7995cca6df47\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"39d7b951-2cda-4b72-9cdd-178e2788bc0a\",\"type\":\"HBar\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"11532321-cbd2-48c7-96ca-091f96ffcb79\",\"type\":\"HBar\"},\"selection_glyph\":null,\"view\":{\"id\":\"5f6e25e9-323e-4cc3-b15b-be7ad4751f1c\",\"type\":\"CDSView\"}},\"id\":\"7564abb5-3afa-4be6-872a-0f7364d57e98\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null,\"factors\":[\"John Smith\",\"Jane Jones\",\"Fred Flintstone\",\"Barney Rubble\",\"Mr T\"]},\"id\":\"0f17fc0a-3fc1-4991-9e63-90158fc0fc26\",\"type\":\"FactorRange\"},{\"attributes\":{\"fill_color\":{\"value\":\"#bdc9e1\"},\"height\":{\"value\":0.8},\"left\":{\"value\":20},\"line_color\":{\"value\":\"#bdc9e1\"},\"right\":{\"value\":60},\"y\":{\"field\":\"y\"}},\"id\":\"39d7b951-2cda-4b72-9cdd-178e2788bc0a\",\"type\":\"HBar\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"2f63bb8f-56d7-44dc-8dc8-9c220e0a07a4\",\"type\":\"PanTool\"},{\"id\":\"65269a41-7a1f-4d29-a894-471710ff8c6e\",\"type\":\"WheelZoomTool\"},{\"id\":\"51146cbe-b2db-4fbc-a213-92656eac8785\",\"type\":\"BoxZoomTool\"},{\"id\":\"d581a3c9-f86b-458c-8f04-b4f10494b97f\",\"type\":\"SaveTool\"},{\"id\":\"8f6e5add-ac6f-424b-a305-fb18c3ee039d\",\"type\":\"ResetTool\"},{\"id\":\"132cea88-1051-4597-bb86-45986e2ae737\",\"type\":\"HelpTool\"}]},\"id\":\"f963482c-d806-412f-b20b-0704754bde06\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\"],\"data\":{\"y\":[\"John Smith\",\"Jane Jones\",\"Fred Flintstone\",\"Barney Rubble\",\"Mr T\"]},\"selected\":null,\"selection_policy\":null},\"id\":\"394d3c29-236a-436e-8f21-ec7795c8a38e\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"37f43edc-663e-44aa-b335-1ac1452b5a4b\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"height\":{\"value\":0.8},\"left\":{\"value\":20},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"right\":{\"value\":60},\"y\":{\"field\":\"y\"}},\"id\":\"11532321-cbd2-48c7-96ca-091f96ffcb79\",\"type\":\"HBar\"}],\"root_ids\":[\"666eb784-dc29-4e39-a981-12ca3eef6744\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.15\"}};\n",
+       "  var render_items = [{\"docid\":\"be3c57be-147e-4c1e-8caf-74fd8437b81a\",\"elementid\":\"d65f8087-94c4-41e2-9474-7eaa90792ed3\",\"modelid\":\"666eb784-dc29-4e39-a981-12ca3eef6744\"}];\n",
+       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "\n",
+       "  }\n",
+       "  if (root.Bokeh !== undefined) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (root.Bokeh !== undefined) {\n",
+       "        embed_document(root);\n",
+       "        clearInterval(timer);\n",
+       "      }\n",
+       "      attempts++;\n",
+       "      if (attempts > 100) {\n",
+       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+       "        clearInterval(timer);\n",
+       "      }\n",
+       "    }, 10, root)\n",
+       "  }\n",
+       "})(window);"
+      ],
+      "application/vnd.bokehjs_exec.v0+json": ""
+     },
+     "metadata": {
+      "application/vnd.bokehjs_exec.v0+json": {
+       "id": "666eb784-dc29-4e39-a981-12ca3eef6744"
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "show(p)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Add the labels\n",
+    "for start, label in zip(limits[:-1], labels):\n",
+    "    p.add_layout(Label(x=start, y=0, text=label, text_font_size=\"10pt\",\n",
+    "                       text_color='black', y_offset=5, x_offset=15))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div class=\"bk-root\">\n",
+       "    <div class=\"bk-plotdiv\" id=\"bc94e9ae-50f9-4303-b974-4b8d7d446e89\"></div>\n",
+       "</div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function embed_document(root) {\n",
+       "    \n",
+       "  var docs_json = 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+       "  var render_items = [{\"docid\":\"01e55d53-31ed-4125-96fa-2fe7cb4cb214\",\"elementid\":\"bc94e9ae-50f9-4303-b974-4b8d7d446e89\",\"modelid\":\"666eb784-dc29-4e39-a981-12ca3eef6744\"}];\n",
+       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "\n",
+       "  }\n",
+       "  if (root.Bokeh !== undefined) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (root.Bokeh !== undefined) {\n",
+       "        embed_document(root);\n",
+       "        clearInterval(timer);\n",
+       "      }\n",
+       "      attempts++;\n",
+       "      if (attempts > 100) {\n",
+       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+       "        clearInterval(timer);\n",
+       "      }\n",
+       "    }, 10, root)\n",
+       "  }\n",
+       "})(window);"
+      ],
+      "application/vnd.bokehjs_exec.v0+json": ""
+     },
+     "metadata": {
+      "application/vnd.bokehjs_exec.v0+json": {
+       "id": "666eb784-dc29-4e39-a981-12ca3eef6744"
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "show(p)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Bokeh-Waterfall.ipynb b/notebooks/Bokeh-Waterfall.ipynb
new file mode 100644
index 0000000..627c160
--- /dev/null
+++ b/notebooks/Bokeh-Waterfall.ipynb
@@ -0,0 +1,897 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating a waterfall chart using Bokeh\n",
+    "\n",
+    "This is the notebook associated with the article at [Pbpython.com](http://pbpython.com/bokeh-bullet-waterfall.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from bokeh.plotting import figure, show\n",
+    "from bokeh.io import output_notebook\n",
+    "from bokeh.models import ColumnDataSource, LabelSet\n",
+    "from bokeh.models.formatters import NumeralTickFormatter\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div class=\"bk-root\">\n",
+       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
+       "        <span id=\"c5208578-78c8-4c2a-aa52-f07b8d26c4e6\">Loading BokehJS ...</span>\n",
+       "    </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "\n",
+       "  if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
+       "    root._bokeh_onload_callbacks = [];\n",
+       "    root._bokeh_is_loading = undefined;\n",
+       "  }\n",
+       "\n",
+       "  var JS_MIME_TYPE = 'application/javascript';\n",
+       "  var HTML_MIME_TYPE = 'text/html';\n",
+       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
+       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
+       "\n",
+       "  /**\n",
+       "   * Render data to the DOM node\n",
+       "   */\n",
+       "  function render(props, node) {\n",
+       "    var script = document.createElement(\"script\");\n",
+       "    node.appendChild(script);\n",
+       "  }\n",
+       "\n",
+       "  /**\n",
+       "   * Handle when an output is cleared or removed\n",
+       "   */\n",
+       "  function handleClearOutput(event, handle) {\n",
+       "    var cell = handle.cell;\n",
+       "\n",
+       "    var id = cell.output_area._bokeh_element_id;\n",
+       "    var server_id = cell.output_area._bokeh_server_id;\n",
+       "    // Clean up Bokeh references\n",
+       "    if (id !== undefined) {\n",
+       "      Bokeh.index[id].model.document.clear();\n",
+       "      delete Bokeh.index[id];\n",
+       "    }\n",
+       "\n",
+       "    if (server_id !== undefined) {\n",
+       "      // Clean up Bokeh references\n",
+       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
+       "      cell.notebook.kernel.execute(cmd, {\n",
+       "        iopub: {\n",
+       "          output: function(msg) {\n",
+       "            var element_id = msg.content.text.trim();\n",
+       "            Bokeh.index[element_id].model.document.clear();\n",
+       "            delete Bokeh.index[element_id];\n",
+       "          }\n",
+       "        }\n",
+       "      });\n",
+       "      // Destroy server and session\n",
+       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
+       "      cell.notebook.kernel.execute(cmd);\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  /**\n",
+       "   * Handle when a new output is added\n",
+       "   */\n",
+       "  function handleAddOutput(event, handle) {\n",
+       "    var output_area = handle.output_area;\n",
+       "    var output = handle.output;\n",
+       "\n",
+       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
+       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "      return\n",
+       "    }\n",
+       "\n",
+       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "\n",
+       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
+       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
+       "      // store reference to embed id on output_area\n",
+       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "    }\n",
+       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+       "      var bk_div = document.createElement(\"div\");\n",
+       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "      var script_attrs = bk_div.children[0].attributes;\n",
+       "      for (var i = 0; i < script_attrs.length; i++) {\n",
+       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+       "      }\n",
+       "      // store reference to server id on output_area\n",
+       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  function register_renderer(events, OutputArea) {\n",
+       "\n",
+       "    function append_mime(data, metadata, element) {\n",
+       "      // create a DOM node to render to\n",
+       "      var toinsert = this.create_output_subarea(\n",
+       "        metadata,\n",
+       "        CLASS_NAME,\n",
+       "        EXEC_MIME_TYPE\n",
+       "      );\n",
+       "      this.keyboard_manager.register_events(toinsert);\n",
+       "      // Render to node\n",
+       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+       "      render(props, toinsert[toinsert.length - 1]);\n",
+       "      element.append(toinsert);\n",
+       "      return toinsert\n",
+       "    }\n",
+       "\n",
+       "    /* Handle when an output is cleared or removed */\n",
+       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
+       "    events.on('delete.Cell', handleClearOutput);\n",
+       "\n",
+       "    /* Handle when a new output is added */\n",
+       "    events.on('output_added.OutputArea', handleAddOutput);\n",
+       "\n",
+       "    /**\n",
+       "     * Register the mime type and append_mime function with output_area\n",
+       "     */\n",
+       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "      /* Is output safe? */\n",
+       "      safe: true,\n",
+       "      /* Index of renderer in `output_area.display_order` */\n",
+       "      index: 0\n",
+       "    });\n",
+       "  }\n",
+       "\n",
+       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
+       "  if (root.Jupyter !== undefined) {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "  \n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\n",
+       "  }\n",
+       "\n",
+       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
+       "     \"<div style='background-color: #fdd'>\\n\"+\n",
+       "     \"<p>\\n\"+\n",
+       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
+       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
+       "     \"</p>\\n\"+\n",
+       "     \"<ul>\\n\"+\n",
+       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
+       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
+       "     \"</ul>\\n\"+\n",
+       "     \"<code>\\n\"+\n",
+       "     \"from bokeh.resources import INLINE\\n\"+\n",
+       "     \"output_notebook(resources=INLINE)\\n\"+\n",
+       "     \"</code>\\n\"+\n",
+       "     \"</div>\"}};\n",
+       "\n",
+       "  function display_loaded() {\n",
+       "    var el = document.getElementById(\"c5208578-78c8-4c2a-aa52-f07b8d26c4e6\");\n",
+       "    if (el != null) {\n",
+       "      el.textContent = \"BokehJS is loading...\";\n",
+       "    }\n",
+       "    if (root.Bokeh !== undefined) {\n",
+       "      if (el != null) {\n",
+       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
+       "      }\n",
+       "    } else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(display_loaded, 100)\n",
+       "    }\n",
+       "  }\n",
+       "\n",
+       "\n",
+       "  function run_callbacks() {\n",
+       "    try {\n",
+       "      root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
+       "    }\n",
+       "    finally {\n",
+       "      delete root._bokeh_onload_callbacks\n",
+       "    }\n",
+       "    console.info(\"Bokeh: all callbacks have finished\");\n",
+       "  }\n",
+       "\n",
+       "  function load_libs(js_urls, callback) {\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "    if (root._bokeh_is_loading > 0) {\n",
+       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (js_urls == null || js_urls.length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    root._bokeh_is_loading = js_urls.length;\n",
+       "    for (var i = 0; i < js_urls.length; i++) {\n",
+       "      var url = js_urls[i];\n",
+       "      var s = document.createElement('script');\n",
+       "      s.src = url;\n",
+       "      s.async = false;\n",
+       "      s.onreadystatechange = s.onload = function() {\n",
+       "        root._bokeh_is_loading--;\n",
+       "        if (root._bokeh_is_loading === 0) {\n",
+       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
+       "          run_callbacks()\n",
+       "        }\n",
+       "      };\n",
+       "      s.onerror = function() {\n",
+       "        console.warn(\"failed to load library \" + url);\n",
+       "      };\n",
+       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+       "    }\n",
+       "  };var element = document.getElementById(\"c5208578-78c8-4c2a-aa52-f07b8d26c4e6\");\n",
+       "  if (element == null) {\n",
+       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'c5208578-78c8-4c2a-aa52-f07b8d26c4e6' but no matching script tag was found. \")\n",
+       "    return false;\n",
+       "  }\n",
+       "\n",
+       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.15.min.js\"];\n",
+       "\n",
+       "  var inline_js = [\n",
+       "    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "    \n",
+       "    function(Bokeh) {\n",
+       "      \n",
+       "    },\n",
+       "    function(Bokeh) {\n",
+       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.css\");\n",
+       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.css\");\n",
+       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.css\");\n",
+       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.css\");\n",
+       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.css\");\n",
+       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.css\");\n",
+       "    }\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    \n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "        inline_js[i].call(root, root.Bokeh);\n",
+       "      }if (force === true) {\n",
+       "        display_loaded();\n",
+       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(run_inline_js, 100);\n",
+       "    } else if (!root._bokeh_failed_load) {\n",
+       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "      root._bokeh_failed_load = true;\n",
+       "    } else if (force !== true) {\n",
+       "      var cell = $(document.getElementById(\"c5208578-78c8-4c2a-aa52-f07b8d26c4e6\")).parents('.cell').data().cell;\n",
+       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
+       "    }\n",
+       "\n",
+       "  }\n",
+       "\n",
+       "  if (root._bokeh_is_loading === 0) {\n",
+       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+       "    run_inline_js();\n",
+       "  } else {\n",
+       "    load_libs(js_urls, function() {\n",
+       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "      run_inline_js();\n",
+       "    });\n",
+       "  }\n",
+       "}(window));"
+      ],
+      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"c5208578-78c8-4c2a-aa52-f07b8d26c4e6\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"c5208578-78c8-4c2a-aa52-f07b8d26c4e6\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'c5208578-78c8-4c2a-aa52-f07b8d26c4e6' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.15.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.15.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.15.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.15.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"c5208578-78c8-4c2a-aa52-f07b8d26c4e6\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "output_notebook()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create the initial dataframe\n",
+    "index = ['sales','returns','credit fees','rebates','late charges','shipping']\n",
+    "data = {'amount': [350000,-30000,-7500,-25000,95000,-7000]}\n",
+    "df = pd.DataFrame(data=data,index=index)\n",
+    "\n",
+    "# Determine the total net value by adding the start and all additional transactions\n",
+    "net = df['amount'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>amount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>sales</th>\n",
+       "      <td>350000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>returns</th>\n",
+       "      <td>-30000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>credit fees</th>\n",
+       "      <td>-7500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rebates</th>\n",
+       "      <td>-25000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>late charges</th>\n",
+       "      <td>95000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>shipping</th>\n",
+       "      <td>-7000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              amount\n",
+       "sales         350000\n",
+       "returns       -30000\n",
+       "credit fees    -7500\n",
+       "rebates       -25000\n",
+       "late charges   95000\n",
+       "shipping       -7000"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create additional columns that we will use to build the waterfall\n",
+    "df['running_total'] = df['amount'].cumsum()\n",
+    "df['y_start'] = df['running_total'] - df['amount']\n",
+    "\n",
+    "# Where do we want to place the label\n",
+    "df['label_pos'] = df['running_total']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>amount</th>\n",
+       "      <th>running_total</th>\n",
+       "      <th>y_start</th>\n",
+       "      <th>label_pos</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>sales</th>\n",
+       "      <td>350000</td>\n",
+       "      <td>350000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>350000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>returns</th>\n",
+       "      <td>-30000</td>\n",
+       "      <td>320000</td>\n",
+       "      <td>350000</td>\n",
+       "      <td>320000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>credit fees</th>\n",
+       "      <td>-7500</td>\n",
+       "      <td>312500</td>\n",
+       "      <td>320000</td>\n",
+       "      <td>312500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rebates</th>\n",
+       "      <td>-25000</td>\n",
+       "      <td>287500</td>\n",
+       "      <td>312500</td>\n",
+       "      <td>287500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>late charges</th>\n",
+       "      <td>95000</td>\n",
+       "      <td>382500</td>\n",
+       "      <td>287500</td>\n",
+       "      <td>382500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>shipping</th>\n",
+       "      <td>-7000</td>\n",
+       "      <td>375500</td>\n",
+       "      <td>382500</td>\n",
+       "      <td>375500</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              amount  running_total  y_start  label_pos\n",
+       "sales         350000         350000        0     350000\n",
+       "returns       -30000         320000   350000     320000\n",
+       "credit fees    -7500         312500   320000     312500\n",
+       "rebates       -25000         287500   312500     287500\n",
+       "late charges   95000         382500   287500     382500\n",
+       "shipping       -7000         375500   382500     375500"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We need to have a net column at the end with the totals and a full bar\n",
+    "df_net = pd.DataFrame.from_records([(net, net, 0, net)], \n",
+    "                                   columns=['amount', 'running_total', 'y_start', 'label_pos'],\n",
+    "                                   index=[\"net\"])\n",
+    "df = df.append(df_net)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>amount</th>\n",
+       "      <th>running_total</th>\n",
+       "      <th>y_start</th>\n",
+       "      <th>label_pos</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>sales</th>\n",
+       "      <td>350000</td>\n",
+       "      <td>350000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>350000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>returns</th>\n",
+       "      <td>-30000</td>\n",
+       "      <td>320000</td>\n",
+       "      <td>350000</td>\n",
+       "      <td>320000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>credit fees</th>\n",
+       "      <td>-7500</td>\n",
+       "      <td>312500</td>\n",
+       "      <td>320000</td>\n",
+       "      <td>312500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rebates</th>\n",
+       "      <td>-25000</td>\n",
+       "      <td>287500</td>\n",
+       "      <td>312500</td>\n",
+       "      <td>287500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>late charges</th>\n",
+       "      <td>95000</td>\n",
+       "      <td>382500</td>\n",
+       "      <td>287500</td>\n",
+       "      <td>382500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>shipping</th>\n",
+       "      <td>-7000</td>\n",
+       "      <td>375500</td>\n",
+       "      <td>382500</td>\n",
+       "      <td>375500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>net</th>\n",
+       "      <td>375500</td>\n",
+       "      <td>375500</td>\n",
+       "      <td>0</td>\n",
+       "      <td>375500</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              amount  running_total  y_start  label_pos\n",
+       "sales         350000         350000        0     350000\n",
+       "returns       -30000         320000   350000     320000\n",
+       "credit fees    -7500         312500   320000     312500\n",
+       "rebates       -25000         287500   312500     287500\n",
+       "late charges   95000         382500   287500     382500\n",
+       "shipping       -7000         375500   382500     375500\n",
+       "net           375500         375500        0     375500"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We want to color the positive values gray and the negative red\n",
+    "df['color'] = 'grey'\n",
+    "df.loc[df.amount < 0, 'color'] = 'red'\n",
+    "\n",
+    "# The 10000 factor is used to make the text positioned correctly.\n",
+    "# You will need to modify if the values are significantly different\n",
+    "df.loc[df.amount < 0, 'label_pos'] = df.label_pos - 10000\n",
+    "df[\"bar_label\"] = df[\"amount\"].map('{:,.0f}'.format)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>amount</th>\n",
+       "      <th>running_total</th>\n",
+       "      <th>y_start</th>\n",
+       "      <th>label_pos</th>\n",
+       "      <th>color</th>\n",
+       "      <th>bar_label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>sales</th>\n",
+       "      <td>350000</td>\n",
+       "      <td>350000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>350000</td>\n",
+       "      <td>grey</td>\n",
+       "      <td>350,000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>returns</th>\n",
+       "      <td>-30000</td>\n",
+       "      <td>320000</td>\n",
+       "      <td>350000</td>\n",
+       "      <td>310000</td>\n",
+       "      <td>red</td>\n",
+       "      <td>-30,000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>credit fees</th>\n",
+       "      <td>-7500</td>\n",
+       "      <td>312500</td>\n",
+       "      <td>320000</td>\n",
+       "      <td>302500</td>\n",
+       "      <td>red</td>\n",
+       "      <td>-7,500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rebates</th>\n",
+       "      <td>-25000</td>\n",
+       "      <td>287500</td>\n",
+       "      <td>312500</td>\n",
+       "      <td>277500</td>\n",
+       "      <td>red</td>\n",
+       "      <td>-25,000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>late charges</th>\n",
+       "      <td>95000</td>\n",
+       "      <td>382500</td>\n",
+       "      <td>287500</td>\n",
+       "      <td>382500</td>\n",
+       "      <td>grey</td>\n",
+       "      <td>95,000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>shipping</th>\n",
+       "      <td>-7000</td>\n",
+       "      <td>375500</td>\n",
+       "      <td>382500</td>\n",
+       "      <td>365500</td>\n",
+       "      <td>red</td>\n",
+       "      <td>-7,000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>net</th>\n",
+       "      <td>375500</td>\n",
+       "      <td>375500</td>\n",
+       "      <td>0</td>\n",
+       "      <td>375500</td>\n",
+       "      <td>grey</td>\n",
+       "      <td>375,500</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              amount  running_total  y_start  label_pos color bar_label\n",
+       "sales         350000         350000        0     350000  grey   350,000\n",
+       "returns       -30000         320000   350000     310000   red   -30,000\n",
+       "credit fees    -7500         312500   320000     302500   red    -7,500\n",
+       "rebates       -25000         287500   312500     277500   red   -25,000\n",
+       "late charges   95000         382500   287500     382500  grey    95,000\n",
+       "shipping       -7000         375500   382500     365500   red    -7,000\n",
+       "net           375500         375500        0     375500  grey   375,500"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Build the Bokeh figure\n",
+    "\n",
+    "# Limit the tools to only these three\n",
+    "TOOLS = \"box_zoom,reset,save\"\n",
+    "\n",
+    "# Build the source data off the df dataframe\n",
+    "source = ColumnDataSource(df)\n",
+    "\n",
+    "# Create the figure and assign range values that look good for the data set\n",
+    "p = figure(tools=TOOLS, x_range=list(df.index), y_range=(0, net+40000), plot_width=800, title = \"Sales Waterfall\")\n",
+    "p.grid.grid_line_alpha=0.3\n",
+    "\n",
+    "# Add the segments\n",
+    "p.segment(x0='index', y0='y_start', x1=\"index\", y1='running_total', source=source, color=\"color\", line_width=55)\n",
+    "\n",
+    "# Format the y-axis as dollars\n",
+    "p.yaxis[0].formatter = NumeralTickFormatter(format=\"($ 0 a)\")\n",
+    "p.xaxis.axis_label = \"Transactions\"\n",
+    "\n",
+    "# Add the labels\n",
+    "labels = LabelSet(x='index', y='label_pos', text='bar_label', text_font_size=\"8pt\", level='glyph',\n",
+    "         x_offset=-20, y_offset=0, source=source)\n",
+    "p.add_layout(labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<div class=\"bk-root\">\n",
+       "    <div class=\"bk-plotdiv\" id=\"5f102e27-9bf3-43e2-9297-f719355d68b2\"></div>\n",
+       "</div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function embed_document(root) {\n",
+       "    \n",
+       "  var docs_json = {\"0af0f5de-039b-4fad-afdb-3c10bea62d85\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"6bd81e8e-0de2-4ae3-8c30-20f421b2dd30\",\"type\":\"SaveTool\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"line_width\":{\"value\":55},\"x0\":{\"field\":\"index\"},\"x1\":{\"field\":\"index\"},\"y0\":{\"field\":\"y_start\"},\"y1\":{\"field\":\"running_total\"}},\"id\":\"71448bd6-645e-4a33-9756-31c7f64846b6\",\"type\":\"Segment\"},{\"attributes\":{\"source\":{\"id\":\"d8db882f-1b2d-492e-bc29-4e20a3a60f93\",\"type\":\"ColumnDataSource\"}},\"id\":\"c451dabb-9340-4897-831d-04e44366eac9\",\"type\":\"CDSView\"},{\"attributes\":{\"callback\":null,\"factors\":[\"sales\",\"returns\",\"credit fees\",\"rebates\",\"late charges\",\"shipping\",\"net\"]},\"id\":\"c9292009-57d5-4f1d-9f51-d2e707ddf522\",\"type\":\"FactorRange\"},{\"attributes\":{\"data_source\":{\"id\":\"d8db882f-1b2d-492e-bc29-4e20a3a60f93\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"165fc71f-2562-47a7-b881-4256b861111c\",\"type\":\"Segment\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"71448bd6-645e-4a33-9756-31c7f64846b6\",\"type\":\"Segment\"},\"selection_glyph\":null,\"view\":{\"id\":\"c451dabb-9340-4897-831d-04e44366eac9\",\"type\":\"CDSView\"}},\"id\":\"24d78589-d18e-4316-b175-c84760924068\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"317f4173-5b9d-4935-9bd6-bd9e81bdac34\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"Sales Waterfall\"},\"id\":\"7730e0c8-a85f-4390-8fe7-6bc149ec0894\",\"type\":\"Title\"},{\"attributes\":{\"level\":\"glyph\",\"plot\":{\"id\":\"eec691b0-6b6a-45ff-8365-f8d008272cdf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"source\":{\"id\":\"d8db882f-1b2d-492e-bc29-4e20a3a60f93\",\"type\":\"ColumnDataSource\"},\"text\":{\"field\":\"bar_label\"},\"text_font_size\":{\"value\":\"8pt\"},\"x\":{\"field\":\"index\"},\"x_offset\":{\"value\":-20},\"y\":{\"field\":\"label_pos\"}},\"id\":\"59e500d7-e38f-42b5-bd3d-9abc29465ec3\",\"type\":\"LabelSet\"},{\"attributes\":{\"below\":[{\"id\":\"708501a1-bcd6-4c2a-b479-0acd33b639ab\",\"type\":\"CategoricalAxis\"}],\"left\":[{\"id\":\"fba3f50b-531d-4a62-9566-8269643227b5\",\"type\":\"LinearAxis\"}],\"plot_width\":800,\"renderers\":[{\"id\":\"708501a1-bcd6-4c2a-b479-0acd33b639ab\",\"type\":\"CategoricalAxis\"},{\"id\":\"95b08957-1353-4515-bdd8-8111566ac731\",\"type\":\"Grid\"},{\"id\":\"fba3f50b-531d-4a62-9566-8269643227b5\",\"type\":\"LinearAxis\"},{\"id\":\"67fade77-8715-4d39-b450-1bc39ec02a26\",\"type\":\"Grid\"},{\"id\":\"c065765e-b568-4156-b067-d6a74ede3676\",\"type\":\"BoxAnnotation\"},{\"id\":\"24d78589-d18e-4316-b175-c84760924068\",\"type\":\"GlyphRenderer\"},{\"id\":\"59e500d7-e38f-42b5-bd3d-9abc29465ec3\",\"type\":\"LabelSet\"}],\"title\":{\"id\":\"7730e0c8-a85f-4390-8fe7-6bc149ec0894\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"1f9674b7-21bf-49d9-b47b-0351b9390ba2\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"c9292009-57d5-4f1d-9f51-d2e707ddf522\",\"type\":\"FactorRange\"},\"x_scale\":{\"id\":\"ce6a6ec1-a5e4-402d-b865-85a01aac5449\",\"type\":\"CategoricalScale\"},\"y_range\":{\"id\":\"119ab089-ffdb-4d09-b1bf-f1096b53d80c\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"7a47e255-0a18-4971-8d0d-aae1c13b618e\",\"type\":\"LinearScale\"}},\"id\":\"eec691b0-6b6a-45ff-8365-f8d008272cdf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"a0a94fad-4cc8-460b-8c96-cedda411804d\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"182bca91-c6e9-40e9-8b8a-9817ee08b5c6\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"end\":415500},\"id\":\"119ab089-ffdb-4d09-b1bf-f1096b53d80c\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":\"Transactions\",\"formatter\":{\"id\":\"317f4173-5b9d-4935-9bd6-bd9e81bdac34\",\"type\":\"CategoricalTickFormatter\"},\"plot\":{\"id\":\"eec691b0-6b6a-45ff-8365-f8d008272cdf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4b79d5b6-2574-4383-8636-0ec22fba944f\",\"type\":\"CategoricalTicker\"}},\"id\":\"708501a1-bcd6-4c2a-b479-0acd33b639ab\",\"type\":\"CategoricalAxis\"},{\"attributes\":{},\"id\":\"ce6a6ec1-a5e4-402d-b865-85a01aac5449\",\"type\":\"CategoricalScale\"},{\"attributes\":{},\"id\":\"4b79d5b6-2574-4383-8636-0ec22fba944f\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"format\":\"($ 0 a)\"},\"id\":\"3c75fd4f-26c3-42c8-b9a9-515fea1ff86a\",\"type\":\"NumeralTickFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"amount\",\"running_total\",\"y_start\",\"label_pos\",\"color\",\"bar_label\",\"index\"],\"data\":{\"amount\":[350000,-30000,-7500,-25000,95000,-7000,375500],\"bar_label\":[\"350,000\",\"-30,000\",\"-7,500\",\"-25,000\",\"95,000\",\"-7,000\",\"375,500\"],\"color\":[\"grey\",\"red\",\"red\",\"red\",\"grey\",\"red\",\"grey\"],\"index\":[\"sales\",\"returns\",\"credit fees\",\"rebates\",\"late charges\",\"shipping\",\"net\"],\"label_pos\":[350000,310000,302500,277500,382500,365500,375500],\"running_total\":[350000,320000,312500,287500,382500,375500,375500],\"y_start\":[0,350000,320000,312500,287500,382500,0]},\"selected\":null,\"selection_policy\":null},\"id\":\"d8db882f-1b2d-492e-bc29-4e20a3a60f93\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"grid_line_alpha\":{\"value\":0.3},\"plot\":{\"id\":\"eec691b0-6b6a-45ff-8365-f8d008272cdf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4b79d5b6-2574-4383-8636-0ec22fba944f\",\"type\":\"CategoricalTicker\"}},\"id\":\"95b08957-1353-4515-bdd8-8111566ac731\",\"type\":\"Grid\"},{\"attributes\":{\"line_color\":{\"field\":\"color\"},\"line_width\":{\"value\":55},\"x0\":{\"field\":\"index\"},\"x1\":{\"field\":\"index\"},\"y0\":{\"field\":\"y_start\"},\"y1\":{\"field\":\"running_total\"}},\"id\":\"165fc71f-2562-47a7-b881-4256b861111c\",\"type\":\"Segment\"},{\"attributes\":{\"dimension\":1,\"grid_line_alpha\":{\"value\":0.3},\"plot\":{\"id\":\"eec691b0-6b6a-45ff-8365-f8d008272cdf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"182bca91-c6e9-40e9-8b8a-9817ee08b5c6\",\"type\":\"BasicTicker\"}},\"id\":\"67fade77-8715-4d39-b450-1bc39ec02a26\",\"type\":\"Grid\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"c065765e-b568-4156-b067-d6a74ede3676\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"7b11336c-e6e0-4c1f-b1be-9868849934f0\",\"type\":\"BoxZoomTool\"},{\"id\":\"a0a94fad-4cc8-460b-8c96-cedda411804d\",\"type\":\"ResetTool\"},{\"id\":\"6bd81e8e-0de2-4ae3-8c30-20f421b2dd30\",\"type\":\"SaveTool\"}]},\"id\":\"1f9674b7-21bf-49d9-b47b-0351b9390ba2\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"7a47e255-0a18-4971-8d0d-aae1c13b618e\",\"type\":\"LinearScale\"},{\"attributes\":{\"overlay\":{\"id\":\"c065765e-b568-4156-b067-d6a74ede3676\",\"type\":\"BoxAnnotation\"}},\"id\":\"7b11336c-e6e0-4c1f-b1be-9868849934f0\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"formatter\":{\"id\":\"3c75fd4f-26c3-42c8-b9a9-515fea1ff86a\",\"type\":\"NumeralTickFormatter\"},\"plot\":{\"id\":\"eec691b0-6b6a-45ff-8365-f8d008272cdf\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"182bca91-c6e9-40e9-8b8a-9817ee08b5c6\",\"type\":\"BasicTicker\"}},\"id\":\"fba3f50b-531d-4a62-9566-8269643227b5\",\"type\":\"LinearAxis\"}],\"root_ids\":[\"eec691b0-6b6a-45ff-8365-f8d008272cdf\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.15\"}};\n",
+       "  var render_items = [{\"docid\":\"0af0f5de-039b-4fad-afdb-3c10bea62d85\",\"elementid\":\"5f102e27-9bf3-43e2-9297-f719355d68b2\",\"modelid\":\"eec691b0-6b6a-45ff-8365-f8d008272cdf\"}];\n",
+       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "\n",
+       "  }\n",
+       "  if (root.Bokeh !== undefined) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (root.Bokeh !== undefined) {\n",
+       "        embed_document(root);\n",
+       "        clearInterval(timer);\n",
+       "      }\n",
+       "      attempts++;\n",
+       "      if (attempts > 100) {\n",
+       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+       "        clearInterval(timer);\n",
+       "      }\n",
+       "    }, 10, root)\n",
+       "  }\n",
+       "})(window);"
+      ],
+      "application/vnd.bokehjs_exec.v0+json": ""
+     },
+     "metadata": {
+      "application/vnd.bokehjs_exec.v0+json": {
+       "id": "eec691b0-6b6a-45ff-8365-f8d008272cdf"
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "show(p)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Bullet-Graph-Article.ipynb b/notebooks/Bullet-Graph-Article.ipynb
new file mode 100644
index 0000000..bed6c9d
--- /dev/null
+++ b/notebooks/Bullet-Graph-Article.ipynb
@@ -0,0 +1,447 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Notebook for Building a bullet chart in python.\n",
+    "Full article posted in http://pbpython.com/bullet-graph.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from matplotlib.ticker import FuncFormatter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Show examples of using seaborn's palette functionality"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAASwAAABLCAYAAADK+7ojAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f18a5a9b710>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.palplot(sns.light_palette(\"green\", 5))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAASwAAABLCAYAAADK+7ojAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f18a23a7518>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.palplot(sns.light_palette(\"red\", 5))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdMAAABLCAYAAAArvG03AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\niSkAhMQUAEK/AYavTlXLTu/MAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f18a236a470>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.palplot(sns.light_palette(\"purple\",8, reverse=True))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Set up the data that we want to plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "limits = [80, 100, 150]\n",
+    "data_to_plot = (\"Example 1\", 105, 120)\n",
+    "palette = sns.color_palette(\"Blues_r\", len(limits))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Try the first version of building a stacked bar chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZwAAABFCAYAAAB+B1BqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nsnDhmJlZFi4cMzPL4v8AZ8gVXgzd6QAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f18a2327f60>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.set_aspect('equal')\n",
+    "ax.set_yticks([1])\n",
+    "ax.set_yticklabels([data_to_plot[0]])\n",
+    "\n",
+    "prev_limit = 0\n",
+    "for idx, lim in enumerate(limits):\n",
+    "    ax.barh([1], lim-prev_limit, left=prev_limit, height=15, color=palette[idx])\n",
+    "    prev_limit = lim"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Expand on the version to add the value we are measuring"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Container object of 1 artists>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZwAAABFCAYAAAB+B1BqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f18a2306550>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.set_aspect('equal')\n",
+    "ax.set_yticks([1])\n",
+    "ax.set_yticklabels([data_to_plot[0]])\n",
+    "\n",
+    "prev_limit = 0\n",
+    "for idx, lim in enumerate(limits):\n",
+    "    ax.barh([1], lim-prev_limit, left=prev_limit, height=15, color=palette[idx])\n",
+    "    prev_limit = lim\n",
+    "    \n",
+    "# Draw the value we're measuring\n",
+    "ax.barh([1], data_to_plot[1], color='black', height=5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now add on the target vertical line"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.lines.Line2D at 0x7f18a218cdd8>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZwAAABFCAYAAAB+B1BqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f18a2289828>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.set_aspect('equal')\n",
+    "ax.set_yticks([1])\n",
+    "ax.set_yticklabels([data_to_plot[0]])\n",
+    "\n",
+    "prev_limit = 0\n",
+    "for idx, lim in enumerate(limits):\n",
+    "    ax.barh([1], lim-prev_limit, left=prev_limit, height=15, color=palette[idx])\n",
+    "    prev_limit = lim\n",
+    "    \n",
+    "# Draw the value we're measuring\n",
+    "ax.barh([1], data_to_plot[1], color='black', height=5)\n",
+    "ax.axvline(data_to_plot[2], color=\"gray\", ymin=0.10, ymax=0.9)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Build out a full function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def bulletgraph(data=None, limits=None, labels=None, axis_label=None, title=None,\n",
+    "                size=(5, 3), palette=None, formatter=None, target_color=\"gray\",\n",
+    "                bar_color=\"black\", label_color=\"gray\"):\n",
+    "    \"\"\" Build out a bullet graph image\n",
+    "        Args:\n",
+    "            data = List of labels, measures and targets\n",
+    "            limits = list of range valules\n",
+    "            labels = list of descriptions of the limit ranges\n",
+    "            axis_label = string describing x axis\n",
+    "            title = string title of plot\n",
+    "            size = tuple for plot size\n",
+    "            palette = a seaborn palette\n",
+    "            formatter = matplotlib formatter object for x axis\n",
+    "            target_color = color string for the target line\n",
+    "            bar_color = color string for the small bar\n",
+    "            label_color = color string for the limit label text\n",
+    "        Returns:\n",
+    "            a matplotlib figure\n",
+    "    \"\"\"\n",
+    "    # Determine the max value for adjusting the bar height\n",
+    "    # Dividing by 10 seems to work pretty well\n",
+    "    h = limits[-1] / 10\n",
+    "\n",
+    "    # Use the green palette as a sensible default\n",
+    "    if palette is None:\n",
+    "        palette = sns.light_palette(\"green\", len(limits), reverse=False)\n",
+    "\n",
+    "    # Must be able to handle one or many data sets via multiple subplots\n",
+    "    if len(data) == 1:\n",
+    "        fig, ax = plt.subplots(figsize=size, sharex=True)\n",
+    "    else:\n",
+    "        fig, axarr = plt.subplots(len(data), figsize=size, sharex=True)\n",
+    "\n",
+    "    # Add each bullet graph bar to a subplot\n",
+    "    for idx, item in enumerate(data):\n",
+    "\n",
+    "        # Get the axis from the array of axes returned when the plot is created\n",
+    "        if len(data) > 1:\n",
+    "            ax = axarr[idx]\n",
+    "\n",
+    "        # Formatting to get rid of extra marking clutter\n",
+    "        ax.set_aspect('equal')\n",
+    "        ax.set_yticklabels([item[0]])\n",
+    "        ax.set_yticks([1])\n",
+    "        ax.spines['bottom'].set_visible(False)\n",
+    "        ax.spines['top'].set_visible(False)\n",
+    "        ax.spines['right'].set_visible(False)\n",
+    "        ax.spines['left'].set_visible(False)\n",
+    "\n",
+    "        prev_limit = 0\n",
+    "        for idx2, lim in enumerate(limits):\n",
+    "            # Draw the bar\n",
+    "            ax.barh([1], lim - prev_limit, left=prev_limit, height=h,\n",
+    "                    color=palette[idx2])\n",
+    "            prev_limit = lim\n",
+    "        rects = ax.patches\n",
+    "        # The last item in the list is the value we're measuring\n",
+    "        # Draw the value we're measuring\n",
+    "        ax.barh([1], item[1], height=(h / 3), color=bar_color)\n",
+    "\n",
+    "        # Need the ymin and max in order to make sure the target marker\n",
+    "        # fits\n",
+    "        ymin, ymax = ax.get_ylim()\n",
+    "        ax.vlines(\n",
+    "            item[2], ymin * .9, ymax * .9, linewidth=1.5, color=target_color)\n",
+    "\n",
+    "    # Now make some labels\n",
+    "    if labels is not None:\n",
+    "        for rect, label in zip(rects, labels):\n",
+    "            height = rect.get_height()\n",
+    "            ax.text(\n",
+    "                rect.get_x() + rect.get_width() / 2,\n",
+    "                -height * .4,\n",
+    "                label,\n",
+    "                ha='center',\n",
+    "                va='bottom',\n",
+    "                color=label_color)\n",
+    "    if formatter:\n",
+    "        ax.xaxis.set_major_formatter(formatter)\n",
+    "    if axis_label:\n",
+    "        ax.set_xlabel(axis_label)\n",
+    "    if title:\n",
+    "        fig.suptitle(title, fontsize=14)\n",
+    "    fig.subplots_adjust(hspace=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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IBPhQ/0Y/D9gQeGS/7uqquqC/fx4wLcmawFOB7z2UV1h1Acd4CvCi/v43gI8NrPthVc0D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\npGYMIpIkqRmDiCRJaub/A1waEC+RWnt0AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f18a22554e0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data_to_plot2 = [(\"John Smith\", 105, 120),\n",
+    "                 (\"Jane Jones\", 99, 110),\n",
+    "                 (\"Fred Flintstone\", 109, 125),\n",
+    "                 (\"Barney Rubble\", 135, 123),\n",
+    "                 (\"Mr T\", 45, 105)]\n",
+    "\n",
+    "bulletgraph(data_to_plot2, limits=[20, 60, 100, 160], labels=[\"Poor\", \"OK\", \"Good\", \"Excellent\"], size=(8,5), \n",
+    "            axis_label=\"Performance Measure\", label_color=\"black\", bar_color=\"#252525\", target_color='#f7f7f7',\n",
+    "            title=\"Sales Rep Performance\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def money(x, pos):\n",
+    "    'The two args are the value and tick position'\n",
+    "    return \"${:,.0f}\".format(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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c5UUWkiSpo2lTh2hTSt0amfYKMKBqWp/y7tuV81JKP664fxtw29popyRJUluW8wieJElS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\nAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f18a2052c50>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "money_fmt = FuncFormatter(money)\n",
+    "data_to_plot3 = [(\"Print\", 50000, 60000),\n",
+    "                 (\"Billboards\", 75000, 65000),\n",
+    "                 (\"Radio\", 125000, 80000),\n",
+    "                 (\"Online\", 195000, 115000)]\n",
+    "palette = sns.light_palette(\"grey\", 3, reverse=False)\n",
+    "bulletgraph(data_to_plot3, limits=[50000, 125000, 200000], labels=[\"Below\", \"On Target\", \"Above\"], size=(10,5), \n",
+    "            axis_label=\"Annual Budget\", label_color=\"black\", bar_color=\"#252525\", target_color='#f7f7f7', palette=palette,\n",
+    "            title=\"Marketing Channel Budget Performance\", formatter=money_fmt)"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python [default]",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/notebooks/Category-Encoding-Article.ipynb b/notebooks/Category-Encoding-Article.ipynb
index e54c5c8..25a601c 100644
--- a/notebooks/Category-Encoding-Article.ipynb
+++ b/notebooks/Category-Encoding-Article.ipynb
@@ -12,21 +12,23 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Import the pandas, scikit-learn, numpy and [category_encoder](http://contrib.scikit-learn.org/categorical-encoding/) libraries."
+    "Import the pandas, scikit-learn, numpy and [category_encoder](https://github.com/scikit-learn-contrib/category_encoders) libraries."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
     "\n",
-    "from sklearn.preprocessing import LabelBinarizer, LabelEncoder\n",
+    "from sklearn.preprocessing import OrdinalEncoder, OneHotEncoder\n",
+    "from sklearn.compose import make_column_transformer\n",
+    "from sklearn.linear_model import LinearRegression\n",
+    "from sklearn.pipeline import make_pipeline\n",
+    "from sklearn.model_selection import cross_val_score\n",
     "\n",
     "import category_encoders as ce"
    ]
@@ -41,9 +43,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "headers = [\"symboling\", \"normalized_losses\", \"make\", \"fuel_type\", \"aspiration\", \"num_doors\", \"body_style\",\n",
@@ -62,26 +62,35 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv(\"http://mlr.cs.umass.edu/ml/machine-learning-databases/autos/imports-85.data\",\n",
+    "df = pd.read_csv(\"https://archive.ics.uci.edu/ml/machine-learning-databases/autos/imports-85.data\",\n",
     "                 header=None, names=headers, na_values=\"?\" )"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -243,12 +252,12 @@
        "3          2              164.0         audi       gas        std      four   \n",
        "4          2              164.0         audi       gas        std      four   \n",
        "\n",
-       "    body_style drive_wheels engine_location  wheel_base   ...     engine_size  \\\n",
-       "0  convertible          rwd           front        88.6   ...             130   \n",
-       "1  convertible          rwd           front        88.6   ...             130   \n",
-       "2    hatchback          rwd           front        94.5   ...             152   \n",
-       "3        sedan          fwd           front        99.8   ...             109   \n",
-       "4        sedan          4wd           front        99.4   ...             136   \n",
+       "    body_style drive_wheels engine_location  wheel_base  ...  engine_size  \\\n",
+       "0  convertible          rwd           front        88.6  ...          130   \n",
+       "1  convertible          rwd           front        88.6  ...          130   \n",
+       "2    hatchback          rwd           front        94.5  ...          152   \n",
+       "3        sedan          fwd           front        99.8  ...          109   \n",
+       "4        sedan          4wd           front        99.4  ...          136   \n",
        "\n",
        "   fuel_system  bore  stroke compression_ratio horsepower  peak_rpm city_mpg  \\\n",
        "0         mpfi  3.47    2.68               9.0      111.0    5000.0       21   \n",
@@ -286,9 +295,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -341,9 +348,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "obj_df = df.select_dtypes(include=['object']).copy()"
@@ -352,14 +357,25 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -481,14 +497,25 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -565,9 +592,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -596,9 +621,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "obj_df = obj_df.fillna({\"num_doors\": \"four\"})"
@@ -607,14 +630,25 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -668,9 +702,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -680,8 +712,8 @@
        "five       11\n",
        "eight       5\n",
        "two         4\n",
-       "twelve      1\n",
        "three       1\n",
+       "twelve      1\n",
        "Name: num_cylinders, dtype: int64"
       ]
      },
@@ -697,9 +729,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "cleanup_nums = {\"num_doors\":     {\"four\": 4, \"two\": 2},\n",
@@ -710,25 +740,34 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "obj_df.replace(cleanup_nums, inplace=True)"
+    "obj_df = obj_df.replace(cleanup_nums)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -850,9 +889,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -889,9 +926,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -916,9 +951,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "obj_df[\"body_style\"] = obj_df[\"body_style\"].astype('category')"
@@ -927,9 +960,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -966,9 +997,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "obj_df[\"body_style_cat\"] = obj_df[\"body_style\"].cat.codes"
@@ -977,14 +1006,25 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1105,9 +1145,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1145,14 +1183,25 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1185,9 +1234,9 @@
        "      <td>4</td>\n",
        "      <td>mpfi</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -1201,9 +1250,9 @@
        "      <td>4</td>\n",
        "      <td>mpfi</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -1217,9 +1266,9 @@
        "      <td>6</td>\n",
        "      <td>mpfi</td>\n",
        "      <td>2</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -1233,9 +1282,9 @@
        "      <td>4</td>\n",
        "      <td>mpfi</td>\n",
        "      <td>3</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -1249,9 +1298,9 @@
        "      <td>5</td>\n",
        "      <td>mpfi</td>\n",
        "      <td>3</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1266,18 +1315,18 @@
        "4         audi       gas        std          4        sedan           front   \n",
        "\n",
        "  engine_type  num_cylinders fuel_system  body_style_cat  drive_wheels_4wd  \\\n",
-       "0        dohc              4        mpfi               0               0.0   \n",
-       "1        dohc              4        mpfi               0               0.0   \n",
-       "2        ohcv              6        mpfi               2               0.0   \n",
-       "3         ohc              4        mpfi               3               0.0   \n",
-       "4         ohc              5        mpfi               3               1.0   \n",
+       "0        dohc              4        mpfi               0                 0   \n",
+       "1        dohc              4        mpfi               0                 0   \n",
+       "2        ohcv              6        mpfi               2                 0   \n",
+       "3         ohc              4        mpfi               3                 0   \n",
+       "4         ohc              5        mpfi               3                 1   \n",
        "\n",
        "   drive_wheels_fwd  drive_wheels_rwd  \n",
-       "0               0.0               1.0  \n",
-       "1               0.0               1.0  \n",
-       "2               0.0               1.0  \n",
-       "3               1.0               0.0  \n",
-       "4               0.0               0.0  "
+       "0                 0                 1  \n",
+       "1                 0                 1  \n",
+       "2                 0                 1  \n",
+       "3                 1                 0  \n",
+       "4                 0                 0  "
       ]
      },
      "execution_count": 23,
@@ -1299,14 +1348,25 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1342,14 +1402,14 @@
        "      <td>4</td>\n",
        "      <td>mpfi</td>\n",
        "      <td>0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -1362,14 +1422,14 @@
        "      <td>4</td>\n",
        "      <td>mpfi</td>\n",
        "      <td>0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -1382,14 +1442,14 @@
        "      <td>6</td>\n",
        "      <td>mpfi</td>\n",
        "      <td>2</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -1402,14 +1462,14 @@
        "      <td>4</td>\n",
        "      <td>mpfi</td>\n",
        "      <td>3</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -1422,14 +1482,14 @@
        "      <td>5</td>\n",
        "      <td>mpfi</td>\n",
        "      <td>3</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1444,18 +1504,18 @@
        "4         audi       gas        std          4           front         ohc   \n",
        "\n",
        "   num_cylinders fuel_system  body_style_cat  body_convertible  body_hardtop  \\\n",
-       "0              4        mpfi               0               1.0           0.0   \n",
-       "1              4        mpfi               0               1.0           0.0   \n",
-       "2              6        mpfi               2               0.0           0.0   \n",
-       "3              4        mpfi               3               0.0           0.0   \n",
-       "4              5        mpfi               3               0.0           0.0   \n",
+       "0              4        mpfi               0                 1             0   \n",
+       "1              4        mpfi               0                 1             0   \n",
+       "2              6        mpfi               2                 0             0   \n",
+       "3              4        mpfi               3                 0             0   \n",
+       "4              5        mpfi               3                 0             0   \n",
        "\n",
        "   body_hatchback  body_sedan  body_wagon  drive_4wd  drive_fwd  drive_rwd  \n",
-       "0             0.0         0.0         0.0        0.0        0.0        1.0  \n",
-       "1             0.0         0.0         0.0        0.0        0.0        1.0  \n",
-       "2             1.0         0.0         0.0        0.0        0.0        1.0  \n",
-       "3             0.0         1.0         0.0        0.0        1.0        0.0  \n",
-       "4             0.0         1.0         0.0        1.0        0.0        0.0  "
+       "0               0           0           0          0          0          1  \n",
+       "1               0           0           0          0          0          1  \n",
+       "2               1           0           0          0          0          1  \n",
+       "3               0           1           0          0          1          0  \n",
+       "4               0           1           0          1          0          0  "
       ]
      },
      "execution_count": 24,
@@ -1478,9 +1538,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1488,8 +1546,8 @@
        "ohc      148\n",
        "ohcf      15\n",
        "ohcv      13\n",
-       "dohc      12\n",
        "l         12\n",
+       "dohc      12\n",
        "rotor      4\n",
        "dohcv      1\n",
        "Name: engine_type, dtype: int64"
@@ -1514,9 +1572,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "obj_df[\"OHC_Code\"] = np.where(obj_df[\"engine_type\"].str.contains(\"ohc\"), 1, 0)"
@@ -1525,14 +1581,25 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1717,36 +1784,43 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "lb_make = LabelEncoder()"
+    "ord_enc = OrdinalEncoder()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "obj_df[\"make_code\"] = lb_make.fit_transform(obj_df[\"make\"])"
+    "obj_df[\"make_code\"] = ord_enc.fit_transform(obj_df[[\"make\"]])"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1759,57 +1833,57 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>alfa-romero</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>alfa-romero</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>alfa-romero</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>audi</td>\n",
-       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>audi</td>\n",
-       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>audi</td>\n",
-       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>audi</td>\n",
-       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>audi</td>\n",
-       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>audi</td>\n",
-       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>audi</td>\n",
-       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>bmw</td>\n",
-       "      <td>2</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1817,17 +1891,17 @@
       ],
       "text/plain": [
        "           make  make_code\n",
-       "0   alfa-romero          0\n",
-       "1   alfa-romero          0\n",
-       "2   alfa-romero          0\n",
-       "3          audi          1\n",
-       "4          audi          1\n",
-       "5          audi          1\n",
-       "6          audi          1\n",
-       "7          audi          1\n",
-       "8          audi          1\n",
-       "9          audi          1\n",
-       "10          bmw          2"
+       "0   alfa-romero        0.0\n",
+       "1   alfa-romero        0.0\n",
+       "2   alfa-romero        0.0\n",
+       "3          audi        1.0\n",
+       "4          audi        1.0\n",
+       "5          audi        1.0\n",
+       "6          audi        1.0\n",
+       "7          audi        1.0\n",
+       "8          audi        1.0\n",
+       "9          audi        1.0\n",
+       "10          bmw        2.0"
       ]
      },
      "execution_count": 30,
@@ -1849,13 +1923,11 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "lb_style = LabelBinarizer()\n",
-    "lb_results = lb_style.fit_transform(obj_df[\"body_style\"])"
+    "oe_style = OneHotEncoder()\n",
+    "oe_results = oe_style.fit_transform(obj_df[[\"body_style\"]])"
    ]
   },
   {
@@ -1868,20 +1940,18 @@
   {
    "cell_type": "code",
    "execution_count": 32,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([[1, 0, 0, 0, 0],\n",
-       "       [1, 0, 0, 0, 0],\n",
-       "       [0, 0, 1, 0, 0],\n",
-       "       ..., \n",
-       "       [0, 0, 0, 1, 0],\n",
-       "       [0, 0, 0, 1, 0],\n",
-       "       [0, 0, 0, 1, 0]])"
+       "array([[1., 0., 0., 0., 0.],\n",
+       "       [1., 0., 0., 0., 0.],\n",
+       "       [0., 0., 1., 0., 0.],\n",
+       "       ...,\n",
+       "       [0., 0., 0., 1., 0.],\n",
+       "       [0., 0., 0., 1., 0.],\n",
+       "       [0., 0., 0., 1., 0.]])"
       ]
      },
      "execution_count": 32,
@@ -1890,23 +1960,34 @@
     }
    ],
    "source": [
-    "lb_results"
+    "oe_results.toarray()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
+       "    <tr>\n",
        "      <th></th>\n",
        "      <th>convertible</th>\n",
        "      <th>hardtop</th>\n",
@@ -1918,55 +1999,55 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   convertible  hardtop  hatchback  sedan  wagon\n",
-       "0            1        0          0      0      0\n",
-       "1            1        0          0      0      0\n",
-       "2            0        0          1      0      0\n",
-       "3            0        0          0      1      0\n",
-       "4            0        0          0      1      0"
+       "  convertible hardtop hatchback sedan wagon\n",
+       "0         1.0     0.0       0.0   0.0   0.0\n",
+       "1         1.0     0.0       0.0   0.0   0.0\n",
+       "2         0.0     0.0       1.0   0.0   0.0\n",
+       "3         0.0     0.0       0.0   1.0   0.0\n",
+       "4         0.0     0.0       0.0   1.0   0.0"
       ]
      },
      "execution_count": 33,
@@ -1975,7 +2056,7 @@
     }
    ],
    "source": [
-    "pd.DataFrame(lb_results, columns=lb_style.classes_).head()"
+    "pd.DataFrame(oe_results.toarray(), columns=oe_style.categories_).head()"
    ]
   },
   {
@@ -1983,15 +2064,13 @@
    "metadata": {},
    "source": [
     "### Advanced Encoding\n",
-    "[category_encoder](http://contrib.scikit-learn.org/categorical-encoding/) library"
+    "[category_encoder](https://github.com/scikit-learn-contrib/category_encoders) library"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# Get a new clean dataframe\n",
@@ -2001,14 +2080,25 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -2130,15 +2220,42 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/chris/miniconda3/envs/pbpcode/lib/python3.8/site-packages/category_encoders/utils.py:21: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
+      "  elif pd.api.types.is_categorical(cols):\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "BackwardDifferenceEncoder(cols=['engine_type'], drop_invariant=False,\n",
-       "             return_df=True, verbose=0)"
+       "BackwardDifferenceEncoder(cols=['engine_type'],\n",
+       "                          mapping=[{'col': 'engine_type',\n",
+       "                                    'mapping':     engine_type_0  engine_type_1  engine_type_2  engine_type_3  engine_type_4  \\\n",
+       " 1      -0.857143      -0.714286      -0.571429      -0.428571      -0.285714   \n",
+       " 2       0.142857      -0.714286      -0.571429      -0.428571      -0.285714   \n",
+       " 3       0.142857       0.285714      -0.571429      -0.428571      -0.285714   \n",
+       " 4       0.142857       0.285714       0.428571      -0.428571      -0.285714   \n",
+       " 5       0.142857       0.285714       0.428571       0.571429      -0.285714   \n",
+       " 6       0.142857       0.285714       0.428571       0.571429       0.714286   \n",
+       " 7       0.142857       0.285714       0.428571       0.571429       0.714286   \n",
+       "-1       0.000000       0.000000       0.000000       0.000000       0.000000   \n",
+       "-2       0.000000       0.000000       0.000000       0.000000       0.000000   \n",
+       "\n",
+       "    engine_type_5  \n",
+       " 1      -0.142857  \n",
+       " 2      -0.142857  \n",
+       " 3      -0.142857  \n",
+       " 4      -0.142857  \n",
+       " 5      -0.142857  \n",
+       " 6      -0.142857  \n",
+       " 7       0.857143  \n",
+       "-1       0.000000  \n",
+       "-2       0.000000  }])"
       ]
      },
      "execution_count": 36,
@@ -2147,70 +2264,85 @@
     }
    ],
    "source": [
-    "encoder = ce.backward_difference.BackwardDifferenceEncoder(cols=[\"engine_type\"])\n",
+    "# Specify the columns to encode then fit and transform\n",
+    "encoder = ce.BackwardDifferenceEncoder(cols=[\"engine_type\"])\n",
     "encoder.fit(obj_df, verbose=1)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 37,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/chris/miniconda3/envs/pbpcode/lib/python3.8/site-packages/category_encoders/utils.py:21: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
+      "  elif pd.api.types.is_categorical(cols):\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>col_engine_type_0</th>\n",
-       "      <th>col_engine_type_1</th>\n",
-       "      <th>col_engine_type_2</th>\n",
-       "      <th>col_engine_type_3</th>\n",
-       "      <th>col_engine_type_4</th>\n",
-       "      <th>col_engine_type_5</th>\n",
-       "      <th>col_engine_type_6</th>\n",
+       "      <th>engine_type_0</th>\n",
+       "      <th>engine_type_1</th>\n",
+       "      <th>engine_type_2</th>\n",
+       "      <th>engine_type_3</th>\n",
+       "      <th>engine_type_4</th>\n",
+       "      <th>engine_type_5</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.142857</td>\n",
-       "      <td>0.285714</td>\n",
-       "      <td>0.428571</td>\n",
-       "      <td>0.571429</td>\n",
-       "      <td>0.714286</td>\n",
+       "      <td>-0.857143</td>\n",
+       "      <td>-0.714286</td>\n",
+       "      <td>-0.571429</td>\n",
+       "      <td>-0.428571</td>\n",
+       "      <td>-0.285714</td>\n",
        "      <td>-0.142857</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.142857</td>\n",
-       "      <td>0.285714</td>\n",
-       "      <td>0.428571</td>\n",
-       "      <td>0.571429</td>\n",
-       "      <td>0.714286</td>\n",
+       "      <td>-0.857143</td>\n",
+       "      <td>-0.714286</td>\n",
+       "      <td>-0.571429</td>\n",
+       "      <td>-0.428571</td>\n",
+       "      <td>-0.285714</td>\n",
        "      <td>-0.142857</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>1.0</td>\n",
        "      <td>0.142857</td>\n",
-       "      <td>0.285714</td>\n",
-       "      <td>0.428571</td>\n",
-       "      <td>0.571429</td>\n",
-       "      <td>0.714286</td>\n",
-       "      <td>0.857143</td>\n",
+       "      <td>-0.714286</td>\n",
+       "      <td>-0.571429</td>\n",
+       "      <td>-0.428571</td>\n",
+       "      <td>-0.285714</td>\n",
+       "      <td>-0.142857</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>1.0</td>\n",
        "      <td>0.142857</td>\n",
-       "      <td>-0.714286</td>\n",
+       "      <td>0.285714</td>\n",
        "      <td>-0.571429</td>\n",
        "      <td>-0.428571</td>\n",
        "      <td>-0.285714</td>\n",
@@ -2218,9 +2350,8 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>1.0</td>\n",
        "      <td>0.142857</td>\n",
-       "      <td>-0.714286</td>\n",
+       "      <td>0.285714</td>\n",
        "      <td>-0.571429</td>\n",
        "      <td>-0.428571</td>\n",
        "      <td>-0.285714</td>\n",
@@ -2231,19 +2362,19 @@
        "</div>"
       ],
       "text/plain": [
-       "   col_engine_type_0  col_engine_type_1  col_engine_type_2  col_engine_type_3  \\\n",
-       "0                1.0           0.142857           0.285714           0.428571   \n",
-       "1                1.0           0.142857           0.285714           0.428571   \n",
-       "2                1.0           0.142857           0.285714           0.428571   \n",
-       "3                1.0           0.142857          -0.714286          -0.571429   \n",
-       "4                1.0           0.142857          -0.714286          -0.571429   \n",
+       "   engine_type_0  engine_type_1  engine_type_2  engine_type_3  engine_type_4  \\\n",
+       "0      -0.857143      -0.714286      -0.571429      -0.428571      -0.285714   \n",
+       "1      -0.857143      -0.714286      -0.571429      -0.428571      -0.285714   \n",
+       "2       0.142857      -0.714286      -0.571429      -0.428571      -0.285714   \n",
+       "3       0.142857       0.285714      -0.571429      -0.428571      -0.285714   \n",
+       "4       0.142857       0.285714      -0.571429      -0.428571      -0.285714   \n",
        "\n",
-       "   col_engine_type_4  col_engine_type_5  col_engine_type_6  \n",
-       "0           0.571429           0.714286          -0.142857  \n",
-       "1           0.571429           0.714286          -0.142857  \n",
-       "2           0.571429           0.714286           0.857143  \n",
-       "3          -0.428571          -0.285714          -0.142857  \n",
-       "4          -0.428571          -0.285714          -0.142857  "
+       "   engine_type_5  \n",
+       "0      -0.142857  \n",
+       "1      -0.142857  \n",
+       "2      -0.142857  \n",
+       "3      -0.142857  \n",
+       "4      -0.142857  "
       ]
      },
      "execution_count": 37,
@@ -2252,7 +2383,7 @@
     }
    ],
    "source": [
-    "encoder.transform(obj_df).iloc[:,0:7].head()"
+    "encoder.fit_transform(obj_df).iloc[:,8:14].head()"
    ]
   },
   {
@@ -2265,137 +2396,217 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "PolynomialEncoder(cols=['engine_type'], drop_invariant=False, return_df=True,\n",
-       "         verbose=0)"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "encoder = ce.polynomial.PolynomialEncoder(cols=[\"engine_type\"])\n",
-    "encoder.fit(obj_df, verbose=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/chris/miniconda3/envs/pbpcode/lib/python3.8/site-packages/category_encoders/utils.py:21: FutureWarning: is_categorical is deprecated and will be removed in a future version.  Use is_categorical_dtype instead\n",
+      "  elif pd.api.types.is_categorical(cols):\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>col_engine_type_0</th>\n",
-       "      <th>col_engine_type_1</th>\n",
-       "      <th>col_engine_type_2</th>\n",
-       "      <th>col_engine_type_3</th>\n",
-       "      <th>col_engine_type_4</th>\n",
-       "      <th>col_engine_type_5</th>\n",
-       "      <th>col_engine_type_6</th>\n",
+       "      <th>engine_type_0</th>\n",
+       "      <th>engine_type_1</th>\n",
+       "      <th>engine_type_2</th>\n",
+       "      <th>engine_type_3</th>\n",
+       "      <th>engine_type_4</th>\n",
+       "      <th>engine_type_5</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>-5.669467e-01</td>\n",
-       "      <td>5.455447e-01</td>\n",
-       "      <td>-4.082483e-01</td>\n",
+       "      <td>-0.566947</td>\n",
+       "      <td>0.545545</td>\n",
+       "      <td>-0.408248</td>\n",
        "      <td>0.241747</td>\n",
-       "      <td>-1.091089e-01</td>\n",
+       "      <td>-0.109109</td>\n",
        "      <td>0.032898</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>-5.669467e-01</td>\n",
-       "      <td>5.455447e-01</td>\n",
-       "      <td>-4.082483e-01</td>\n",
+       "      <td>-0.566947</td>\n",
+       "      <td>0.545545</td>\n",
+       "      <td>-0.408248</td>\n",
        "      <td>0.241747</td>\n",
-       "      <td>-1.091089e-01</td>\n",
+       "      <td>-0.109109</td>\n",
        "      <td>0.032898</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>3.779645e-01</td>\n",
-       "      <td>3.970680e-17</td>\n",
-       "      <td>-4.082483e-01</td>\n",
+       "      <td>-0.377964</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.408248</td>\n",
        "      <td>-0.564076</td>\n",
-       "      <td>-4.364358e-01</td>\n",
+       "      <td>0.436436</td>\n",
        "      <td>-0.197386</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.347755e-17</td>\n",
-       "      <td>-4.364358e-01</td>\n",
-       "      <td>1.528598e-17</td>\n",
-       "      <td>0.483494</td>\n",
-       "      <td>8.990141e-18</td>\n",
-       "      <td>-0.657952</td>\n",
+       "      <td>-0.188982</td>\n",
+       "      <td>-0.327327</td>\n",
+       "      <td>0.408248</td>\n",
+       "      <td>0.080582</td>\n",
+       "      <td>-0.545545</td>\n",
+       "      <td>0.493464</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.347755e-17</td>\n",
-       "      <td>-4.364358e-01</td>\n",
-       "      <td>1.528598e-17</td>\n",
-       "      <td>0.483494</td>\n",
-       "      <td>8.990141e-18</td>\n",
-       "      <td>-0.657952</td>\n",
+       "      <td>-0.188982</td>\n",
+       "      <td>-0.327327</td>\n",
+       "      <td>0.408248</td>\n",
+       "      <td>0.080582</td>\n",
+       "      <td>-0.545545</td>\n",
+       "      <td>0.493464</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   col_engine_type_0  col_engine_type_1  col_engine_type_2  col_engine_type_3  \\\n",
-       "0                1.0      -5.669467e-01       5.455447e-01      -4.082483e-01   \n",
-       "1                1.0      -5.669467e-01       5.455447e-01      -4.082483e-01   \n",
-       "2                1.0       3.779645e-01       3.970680e-17      -4.082483e-01   \n",
-       "3                1.0       1.347755e-17      -4.364358e-01       1.528598e-17   \n",
-       "4                1.0       1.347755e-17      -4.364358e-01       1.528598e-17   \n",
+       "   engine_type_0  engine_type_1  engine_type_2  engine_type_3  engine_type_4  \\\n",
+       "0      -0.566947       0.545545      -0.408248       0.241747      -0.109109   \n",
+       "1      -0.566947       0.545545      -0.408248       0.241747      -0.109109   \n",
+       "2      -0.377964       0.000000       0.408248      -0.564076       0.436436   \n",
+       "3      -0.188982      -0.327327       0.408248       0.080582      -0.545545   \n",
+       "4      -0.188982      -0.327327       0.408248       0.080582      -0.545545   \n",
        "\n",
-       "   col_engine_type_4  col_engine_type_5  col_engine_type_6  \n",
-       "0           0.241747      -1.091089e-01           0.032898  \n",
-       "1           0.241747      -1.091089e-01           0.032898  \n",
-       "2          -0.564076      -4.364358e-01          -0.197386  \n",
-       "3           0.483494       8.990141e-18          -0.657952  \n",
-       "4           0.483494       8.990141e-18          -0.657952  "
+       "   engine_type_5  \n",
+       "0       0.032898  \n",
+       "1       0.032898  \n",
+       "2      -0.197386  \n",
+       "3       0.493464  \n",
+       "4       0.493464  "
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "encoder = ce.polynomial.PolynomialEncoder(cols=[\"engine_type\"])\n",
+    "encoder.fit_transform(obj_df, verbose=1).iloc[:,8:14].head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Scikit-learn pipeline\n",
+    "Show an example of how to incorporate the encoding strategies into a scikit-learn pipeline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# for the purposes of this analysis, only use a small subset of features\n",
+    "feature_cols = [\n",
+    "    'fuel_type', 'make', 'aspiration', 'highway_mpg', 'city_mpg',\n",
+    "    'curb_weight', 'drive_wheels'\n",
+    "]\n",
+    "\n",
+    "# Remove the empty price rows\n",
+    "df_ml = df.dropna(subset=['price'])\n",
+    "\n",
+    "X = df_ml[feature_cols]\n",
+    "y = df_ml['price']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "column_trans = make_column_transformer((OneHotEncoder(handle_unknown='ignore'),\n",
+    "                                        ['fuel_type', 'make', 'drive_wheels']),\n",
+    "                                      (OrdinalEncoder(), ['aspiration']),\n",
+    "                                      remainder='passthrough')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "linreg = LinearRegression()\n",
+    "pipe = make_pipeline(column_trans, linreg)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-4476.0937653 , -1014.54842052, -4227.68553953, -4936.79899194,\n",
+       "       -1591.8291911 , -3716.06617255, -4293.79197464, -1390.00486495,\n",
+       "       -1600.57946369, -2124.30041954])"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "encoder.transform(obj_df).iloc[:,0:7].head()"
+    "cross_val_score(pipe, X, y, cv=10, scoring='neg_mean_absolute_error')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-2937.17"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get the average of the errors after 10 iterations\n",
+    "cross_val_score(pipe, X, y, cv=10, scoring='neg_mean_absolute_error').mean().round(2)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": []
   }
@@ -2416,9 +2627,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.2"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/notebooks/Combine_Multiple_Excel_Sheets.ipynb b/notebooks/Combine_Multiple_Excel_Sheets.ipynb
new file mode 100644
index 0000000..1ad4966
--- /dev/null
+++ b/notebooks/Combine_Multiple_Excel_Sheets.ipynb
@@ -0,0 +1,1558 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Combine Multiple Excel Worksheets Into a Single Pandas Dataframe\n",
+    "\n",
+    "Article posted [here](https://pbpython.com/pandas-excel-tabs.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "workbook_url = 'https://github.com/chris1610/pbpython/raw/master/data/2018_Sales_Total_Tabs.xlsx'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "single_df =  pd.read_excel(workbook_url, sheet_name='Sheet1')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>sku</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S2-77896</td>\n",
+       "      <td>43</td>\n",
+       "      <td>76.66</td>\n",
+       "      <td>3296.38</td>\n",
+       "      <td>2018-03-04 23:10:28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>S1-93683</td>\n",
+       "      <td>28</td>\n",
+       "      <td>90.86</td>\n",
+       "      <td>2544.08</td>\n",
+       "      <td>2018-03-05 05:11:49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>729833</td>\n",
+       "      <td>Koepp Ltd</td>\n",
+       "      <td>S1-30248</td>\n",
+       "      <td>13</td>\n",
+       "      <td>44.84</td>\n",
+       "      <td>582.92</td>\n",
+       "      <td>2018-03-05 17:33:52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>424914</td>\n",
+       "      <td>White-Trantow</td>\n",
+       "      <td>S2-82423</td>\n",
+       "      <td>38</td>\n",
+       "      <td>50.93</td>\n",
+       "      <td>1935.34</td>\n",
+       "      <td>2018-03-05 21:40:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>S1-50961</td>\n",
+       "      <td>34</td>\n",
+       "      <td>48.20</td>\n",
+       "      <td>1638.80</td>\n",
+       "      <td>2018-03-06 11:59:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number             name       sku  quantity  unit price  ext price  \\\n",
+       "0          412290    Jerde-Hilpert  S2-77896        43       76.66    3296.38   \n",
+       "1          383080         Will LLC  S1-93683        28       90.86    2544.08   \n",
+       "2          729833        Koepp Ltd  S1-30248        13       44.84     582.92   \n",
+       "3          424914    White-Trantow  S2-82423        38       50.93    1935.34   \n",
+       "4          672390  Kuhn-Gusikowski  S1-50961        34       48.20    1638.80   \n",
+       "\n",
+       "                 date  \n",
+       "0 2018-03-04 23:10:28  \n",
+       "1 2018-03-05 05:11:49  \n",
+       "2 2018-03-05 17:33:52  \n",
+       "3 2018-03-05 21:40:10  \n",
+       "4 2018-03-06 11:59:00  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "single_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_dfs = pd.read_excel(workbook_url, sheet_name=None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "collections.OrderedDict"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(all_dfs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "collections.OrderedDict"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(all_dfs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "odict_keys(['Sheet1', 'Sheet2', 'Sheet3', 'Sheet4', 'Sheet5', 'Sheet6'])"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_dfs.keys()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>sku</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S2-77896</td>\n",
+       "      <td>43</td>\n",
+       "      <td>76.66</td>\n",
+       "      <td>3296.38</td>\n",
+       "      <td>2018-03-04 23:10:28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>S1-93683</td>\n",
+       "      <td>28</td>\n",
+       "      <td>90.86</td>\n",
+       "      <td>2544.08</td>\n",
+       "      <td>2018-03-05 05:11:49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>729833</td>\n",
+       "      <td>Koepp Ltd</td>\n",
+       "      <td>S1-30248</td>\n",
+       "      <td>13</td>\n",
+       "      <td>44.84</td>\n",
+       "      <td>582.92</td>\n",
+       "      <td>2018-03-05 17:33:52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>424914</td>\n",
+       "      <td>White-Trantow</td>\n",
+       "      <td>S2-82423</td>\n",
+       "      <td>38</td>\n",
+       "      <td>50.93</td>\n",
+       "      <td>1935.34</td>\n",
+       "      <td>2018-03-05 21:40:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>S1-50961</td>\n",
+       "      <td>34</td>\n",
+       "      <td>48.20</td>\n",
+       "      <td>1638.80</td>\n",
+       "      <td>2018-03-06 11:59:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number             name       sku  quantity  unit price  ext price  \\\n",
+       "0          412290    Jerde-Hilpert  S2-77896        43       76.66    3296.38   \n",
+       "1          383080         Will LLC  S1-93683        28       90.86    2544.08   \n",
+       "2          729833        Koepp Ltd  S1-30248        13       44.84     582.92   \n",
+       "3          424914    White-Trantow  S2-82423        38       50.93    1935.34   \n",
+       "4          672390  Kuhn-Gusikowski  S1-50961        34       48.20    1638.80   \n",
+       "\n",
+       "                 date  \n",
+       "0 2018-03-04 23:10:28  \n",
+       "1 2018-03-05 05:11:49  \n",
+       "2 2018-03-05 17:33:52  \n",
+       "3 2018-03-05 21:40:10  \n",
+       "4 2018-03-06 11:59:00  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_dfs['Sheet1'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>sku</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>740150</td>\n",
+       "      <td>Barton LLC</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>39</td>\n",
+       "      <td>86.69</td>\n",
+       "      <td>3380.91</td>\n",
+       "      <td>2018-01-01 07:21:51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>714466</td>\n",
+       "      <td>Trantow-Barrows</td>\n",
+       "      <td>S2-77896</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>63.16</td>\n",
+       "      <td>-63.16</td>\n",
+       "      <td>2018-01-01 10:00:47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>B1-69924</td>\n",
+       "      <td>23</td>\n",
+       "      <td>90.70</td>\n",
+       "      <td>2086.10</td>\n",
+       "      <td>2018-01-01 13:24:58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>307599</td>\n",
+       "      <td>Kassulke, Ondricka and Metz</td>\n",
+       "      <td>S1-65481</td>\n",
+       "      <td>41</td>\n",
+       "      <td>21.05</td>\n",
+       "      <td>863.05</td>\n",
+       "      <td>2018-01-01 15:05:22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S2-34077</td>\n",
+       "      <td>6</td>\n",
+       "      <td>83.21</td>\n",
+       "      <td>499.26</td>\n",
+       "      <td>2018-01-01 23:26:55</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number                         name       sku  quantity  \\\n",
+       "0          740150                   Barton LLC  B1-20000        39   \n",
+       "1          714466              Trantow-Barrows  S2-77896        -1   \n",
+       "2          218895                    Kulas Inc  B1-69924        23   \n",
+       "3          307599  Kassulke, Ondricka and Metz  S1-65481        41   \n",
+       "4          412290                Jerde-Hilpert  S2-34077         6   \n",
+       "\n",
+       "   unit price  ext price                date  \n",
+       "0       86.69    3380.91 2018-01-01 07:21:51  \n",
+       "1       63.16     -63.16 2018-01-01 10:00:47  \n",
+       "2       90.70    2086.10 2018-01-01 13:24:58  \n",
+       "3       21.05     863.05 2018-01-01 15:05:22  \n",
+       "4       83.21     499.26 2018-01-01 23:26:55  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_dfs['Sheet2'].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Sheet1 - (39, 7)\n",
+      "Sheet2 - (35, 7)\n",
+      "Sheet3 - (47, 7)\n",
+      "Sheet4 - (47, 7)\n",
+      "Sheet5 - (81, 7)\n",
+      "Sheet6 - (50, 7)\n"
+     ]
+    }
+   ],
+   "source": [
+    "for sheet in all_dfs:\n",
+    "    print(f\"{sheet} - {all_dfs[sheet].shape}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.concat(all_dfs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(299, 7)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>sku</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">Sheet1</th>\n",
+       "      <th>0</th>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S2-77896</td>\n",
+       "      <td>43</td>\n",
+       "      <td>76.66</td>\n",
+       "      <td>3296.38</td>\n",
+       "      <td>2018-03-04 23:10:28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>S1-93683</td>\n",
+       "      <td>28</td>\n",
+       "      <td>90.86</td>\n",
+       "      <td>2544.08</td>\n",
+       "      <td>2018-03-05 05:11:49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>729833</td>\n",
+       "      <td>Koepp Ltd</td>\n",
+       "      <td>S1-30248</td>\n",
+       "      <td>13</td>\n",
+       "      <td>44.84</td>\n",
+       "      <td>582.92</td>\n",
+       "      <td>2018-03-05 17:33:52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>424914</td>\n",
+       "      <td>White-Trantow</td>\n",
+       "      <td>S2-82423</td>\n",
+       "      <td>38</td>\n",
+       "      <td>50.93</td>\n",
+       "      <td>1935.34</td>\n",
+       "      <td>2018-03-05 21:40:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>S1-50961</td>\n",
+       "      <td>34</td>\n",
+       "      <td>48.20</td>\n",
+       "      <td>1638.80</td>\n",
+       "      <td>2018-03-06 11:59:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          account number             name       sku  quantity  unit price  \\\n",
+       "Sheet1 0          412290    Jerde-Hilpert  S2-77896        43       76.66   \n",
+       "       1          383080         Will LLC  S1-93683        28       90.86   \n",
+       "       2          729833        Koepp Ltd  S1-30248        13       44.84   \n",
+       "       3          424914    White-Trantow  S2-82423        38       50.93   \n",
+       "       4          672390  Kuhn-Gusikowski  S1-50961        34       48.20   \n",
+       "\n",
+       "          ext price                date  \n",
+       "Sheet1 0    3296.38 2018-03-04 23:10:28  \n",
+       "       1    2544.08 2018-03-05 05:11:49  \n",
+       "       2     582.92 2018-03-05 17:33:52  \n",
+       "       3    1935.34 2018-03-05 21:40:10  \n",
+       "       4    1638.80 2018-03-06 11:59:00  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>sku</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">Sheet6</th>\n",
+       "      <th>45</th>\n",
+       "      <td>239344</td>\n",
+       "      <td>Stokes LLC</td>\n",
+       "      <td>S1-82801</td>\n",
+       "      <td>41</td>\n",
+       "      <td>78.90</td>\n",
+       "      <td>3234.90</td>\n",
+       "      <td>2018-03-04 01:06:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>S2-78676</td>\n",
+       "      <td>38</td>\n",
+       "      <td>89.02</td>\n",
+       "      <td>3382.76</td>\n",
+       "      <td>2018-03-04 01:17:11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>642753</td>\n",
+       "      <td>Pollich LLC</td>\n",
+       "      <td>S2-10342</td>\n",
+       "      <td>40</td>\n",
+       "      <td>56.85</td>\n",
+       "      <td>2274.00</td>\n",
+       "      <td>2018-03-04 01:49:22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>737550</td>\n",
+       "      <td>Fritsch, Russel and Anderson</td>\n",
+       "      <td>S2-83881</td>\n",
+       "      <td>12</td>\n",
+       "      <td>63.60</td>\n",
+       "      <td>763.20</td>\n",
+       "      <td>2018-03-04 15:26:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>B1-53636</td>\n",
+       "      <td>5</td>\n",
+       "      <td>72.16</td>\n",
+       "      <td>360.80</td>\n",
+       "      <td>2018-03-04 21:18:04</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           account number                          name       sku  quantity  \\\n",
+       "Sheet6 45          239344                    Stokes LLC  S1-82801        41   \n",
+       "       46          218895                     Kulas Inc  S2-78676        38   \n",
+       "       47          642753                   Pollich LLC  S2-10342        40   \n",
+       "       48          737550  Fritsch, Russel and Anderson  S2-83881        12   \n",
+       "       49          146832                  Kiehn-Spinka  B1-53636         5   \n",
+       "\n",
+       "           unit price  ext price                date  \n",
+       "Sheet6 45       78.90    3234.90 2018-03-04 01:06:20  \n",
+       "       46       89.02    3382.76 2018-03-04 01:17:11  \n",
+       "       47       56.85    2274.00 2018-03-04 01:49:22  \n",
+       "       48       63.60     763.20 2018-03-04 15:26:20  \n",
+       "       49       72.16     360.80 2018-03-04 21:18:04  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>sku</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S2-77896</td>\n",
+       "      <td>43</td>\n",
+       "      <td>76.66</td>\n",
+       "      <td>3296.38</td>\n",
+       "      <td>2018-03-04 23:10:28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>S1-93683</td>\n",
+       "      <td>28</td>\n",
+       "      <td>90.86</td>\n",
+       "      <td>2544.08</td>\n",
+       "      <td>2018-03-05 05:11:49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>729833</td>\n",
+       "      <td>Koepp Ltd</td>\n",
+       "      <td>S1-30248</td>\n",
+       "      <td>13</td>\n",
+       "      <td>44.84</td>\n",
+       "      <td>582.92</td>\n",
+       "      <td>2018-03-05 17:33:52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>424914</td>\n",
+       "      <td>White-Trantow</td>\n",
+       "      <td>S2-82423</td>\n",
+       "      <td>38</td>\n",
+       "      <td>50.93</td>\n",
+       "      <td>1935.34</td>\n",
+       "      <td>2018-03-05 21:40:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>S1-50961</td>\n",
+       "      <td>34</td>\n",
+       "      <td>48.20</td>\n",
+       "      <td>1638.80</td>\n",
+       "      <td>2018-03-06 11:59:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>239344</td>\n",
+       "      <td>Stokes LLC</td>\n",
+       "      <td>S2-10342</td>\n",
+       "      <td>34</td>\n",
+       "      <td>36.93</td>\n",
+       "      <td>1255.62</td>\n",
+       "      <td>2018-03-06 23:49:16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>S2-34077</td>\n",
+       "      <td>30</td>\n",
+       "      <td>99.73</td>\n",
+       "      <td>2991.90</td>\n",
+       "      <td>2018-03-07 05:15:29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>B1-05914</td>\n",
+       "      <td>25</td>\n",
+       "      <td>89.86</td>\n",
+       "      <td>2246.50</td>\n",
+       "      <td>2018-03-07 06:25:52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>740150</td>\n",
+       "      <td>Barton LLC</td>\n",
+       "      <td>S1-82801</td>\n",
+       "      <td>29</td>\n",
+       "      <td>60.81</td>\n",
+       "      <td>1763.49</td>\n",
+       "      <td>2018-03-07 10:24:54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>23</td>\n",
+       "      <td>99.57</td>\n",
+       "      <td>2290.11</td>\n",
+       "      <td>2018-03-07 13:34:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>257198</td>\n",
+       "      <td>Cronin, Oberbrunner and Spencer</td>\n",
+       "      <td>S1-30248</td>\n",
+       "      <td>14</td>\n",
+       "      <td>91.37</td>\n",
+       "      <td>1279.18</td>\n",
+       "      <td>2018-03-07 16:21:58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>S2-83881</td>\n",
+       "      <td>26</td>\n",
+       "      <td>88.38</td>\n",
+       "      <td>2297.88</td>\n",
+       "      <td>2018-03-07 20:18:18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>424914</td>\n",
+       "      <td>White-Trantow</td>\n",
+       "      <td>B1-53636</td>\n",
+       "      <td>44</td>\n",
+       "      <td>59.93</td>\n",
+       "      <td>2636.92</td>\n",
+       "      <td>2018-03-07 21:16:24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>307599</td>\n",
+       "      <td>Kassulke, Ondricka and Metz</td>\n",
+       "      <td>S2-10342</td>\n",
+       "      <td>4</td>\n",
+       "      <td>12.99</td>\n",
+       "      <td>51.96</td>\n",
+       "      <td>2018-03-07 23:59:26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>45</td>\n",
+       "      <td>29.90</td>\n",
+       "      <td>1345.50</td>\n",
+       "      <td>2018-03-08 01:50:36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>527099</td>\n",
+       "      <td>Sanford and Sons</td>\n",
+       "      <td>S2-82423</td>\n",
+       "      <td>44</td>\n",
+       "      <td>23.30</td>\n",
+       "      <td>1025.20</td>\n",
+       "      <td>2018-03-09 00:18:55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>S2-77896</td>\n",
+       "      <td>27</td>\n",
+       "      <td>70.76</td>\n",
+       "      <td>1910.52</td>\n",
+       "      <td>2018-03-09 11:05:47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>642753</td>\n",
+       "      <td>Pollich LLC</td>\n",
+       "      <td>B1-05914</td>\n",
+       "      <td>15</td>\n",
+       "      <td>65.50</td>\n",
+       "      <td>982.50</td>\n",
+       "      <td>2018-03-09 11:22:09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>786968</td>\n",
+       "      <td>Frami, Hills and Schmidt</td>\n",
+       "      <td>S1-65481</td>\n",
+       "      <td>14</td>\n",
+       "      <td>44.67</td>\n",
+       "      <td>625.38</td>\n",
+       "      <td>2018-03-09 19:13:11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>527099</td>\n",
+       "      <td>Sanford and Sons</td>\n",
+       "      <td>S1-82801</td>\n",
+       "      <td>35</td>\n",
+       "      <td>95.17</td>\n",
+       "      <td>3330.95</td>\n",
+       "      <td>2018-03-09 19:13:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>257198</td>\n",
+       "      <td>Cronin, Oberbrunner and Spencer</td>\n",
+       "      <td>S2-23246</td>\n",
+       "      <td>43</td>\n",
+       "      <td>87.40</td>\n",
+       "      <td>3758.20</td>\n",
+       "      <td>2018-03-10 05:39:36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>527099</td>\n",
+       "      <td>Sanford and Sons</td>\n",
+       "      <td>B1-65551</td>\n",
+       "      <td>6</td>\n",
+       "      <td>58.04</td>\n",
+       "      <td>348.24</td>\n",
+       "      <td>2018-03-10 05:52:17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>S1-47412</td>\n",
+       "      <td>21</td>\n",
+       "      <td>94.45</td>\n",
+       "      <td>1983.45</td>\n",
+       "      <td>2018-03-10 11:02:14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>729833</td>\n",
+       "      <td>Koepp Ltd</td>\n",
+       "      <td>S2-10342</td>\n",
+       "      <td>12</td>\n",
+       "      <td>93.64</td>\n",
+       "      <td>1123.68</td>\n",
+       "      <td>2018-03-10 13:08:45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S1-82801</td>\n",
+       "      <td>26</td>\n",
+       "      <td>74.79</td>\n",
+       "      <td>1944.54</td>\n",
+       "      <td>2018-03-11 02:49:11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>642753</td>\n",
+       "      <td>Pollich LLC</td>\n",
+       "      <td>S2-77896</td>\n",
+       "      <td>13</td>\n",
+       "      <td>48.14</td>\n",
+       "      <td>625.82</td>\n",
+       "      <td>2018-03-11 06:19:26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>B1-33364</td>\n",
+       "      <td>17</td>\n",
+       "      <td>93.01</td>\n",
+       "      <td>1581.17</td>\n",
+       "      <td>2018-03-11 08:20:57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>307599</td>\n",
+       "      <td>Kassulke, Ondricka and Metz</td>\n",
+       "      <td>S1-50961</td>\n",
+       "      <td>28</td>\n",
+       "      <td>34.87</td>\n",
+       "      <td>976.36</td>\n",
+       "      <td>2018-03-11 10:49:24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>S1-93683</td>\n",
+       "      <td>17</td>\n",
+       "      <td>10.63</td>\n",
+       "      <td>180.71</td>\n",
+       "      <td>2018-03-11 12:43:03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>S1-82801</td>\n",
+       "      <td>3</td>\n",
+       "      <td>77.06</td>\n",
+       "      <td>231.18</td>\n",
+       "      <td>2018-03-11 16:38:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>269</th>\n",
+       "      <td>141962</td>\n",
+       "      <td>Herman LLC</td>\n",
+       "      <td>B1-69924</td>\n",
+       "      <td>21</td>\n",
+       "      <td>95.00</td>\n",
+       "      <td>1995.00</td>\n",
+       "      <td>2018-02-26 19:08:02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>270</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>S2-23246</td>\n",
+       "      <td>47</td>\n",
+       "      <td>10.93</td>\n",
+       "      <td>513.71</td>\n",
+       "      <td>2018-02-26 20:41:02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>271</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>4</td>\n",
+       "      <td>35.04</td>\n",
+       "      <td>140.16</td>\n",
+       "      <td>2018-02-26 23:56:15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>272</th>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>S1-93683</td>\n",
+       "      <td>10</td>\n",
+       "      <td>34.96</td>\n",
+       "      <td>349.60</td>\n",
+       "      <td>2018-02-27 02:58:58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>273</th>\n",
+       "      <td>424914</td>\n",
+       "      <td>White-Trantow</td>\n",
+       "      <td>S1-93683</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>25.01</td>\n",
+       "      <td>-25.01</td>\n",
+       "      <td>2018-02-27 10:32:25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>274</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>S1-93683</td>\n",
+       "      <td>41</td>\n",
+       "      <td>97.29</td>\n",
+       "      <td>3988.89</td>\n",
+       "      <td>2018-02-27 14:54:11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>275</th>\n",
+       "      <td>714466</td>\n",
+       "      <td>Trantow-Barrows</td>\n",
+       "      <td>S2-11481</td>\n",
+       "      <td>46</td>\n",
+       "      <td>39.61</td>\n",
+       "      <td>1822.06</td>\n",
+       "      <td>2018-02-27 16:12:51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>276</th>\n",
+       "      <td>740150</td>\n",
+       "      <td>Barton LLC</td>\n",
+       "      <td>S1-30248</td>\n",
+       "      <td>21</td>\n",
+       "      <td>14.05</td>\n",
+       "      <td>295.05</td>\n",
+       "      <td>2018-02-28 02:29:03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>277</th>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>B1-69924</td>\n",
+       "      <td>44</td>\n",
+       "      <td>72.43</td>\n",
+       "      <td>3186.92</td>\n",
+       "      <td>2018-02-28 08:42:56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>278</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>B1-53102</td>\n",
+       "      <td>6</td>\n",
+       "      <td>32.80</td>\n",
+       "      <td>196.80</td>\n",
+       "      <td>2018-02-28 17:35:23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>279</th>\n",
+       "      <td>688981</td>\n",
+       "      <td>Keeling LLC</td>\n",
+       "      <td>S2-23246</td>\n",
+       "      <td>18</td>\n",
+       "      <td>64.71</td>\n",
+       "      <td>1164.78</td>\n",
+       "      <td>2018-02-28 23:21:04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>280</th>\n",
+       "      <td>642753</td>\n",
+       "      <td>Pollich LLC</td>\n",
+       "      <td>B1-04202</td>\n",
+       "      <td>8</td>\n",
+       "      <td>95.86</td>\n",
+       "      <td>766.88</td>\n",
+       "      <td>2018-02-28 23:47:32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>281</th>\n",
+       "      <td>163416</td>\n",
+       "      <td>Purdy-Kunde</td>\n",
+       "      <td>S1-30248</td>\n",
+       "      <td>19</td>\n",
+       "      <td>65.03</td>\n",
+       "      <td>1235.57</td>\n",
+       "      <td>2018-03-01 16:07:40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>282</th>\n",
+       "      <td>527099</td>\n",
+       "      <td>Sanford and Sons</td>\n",
+       "      <td>S2-82423</td>\n",
+       "      <td>3</td>\n",
+       "      <td>76.21</td>\n",
+       "      <td>228.63</td>\n",
+       "      <td>2018-03-01 17:18:01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>283</th>\n",
+       "      <td>527099</td>\n",
+       "      <td>Sanford and Sons</td>\n",
+       "      <td>B1-50809</td>\n",
+       "      <td>8</td>\n",
+       "      <td>70.78</td>\n",
+       "      <td>566.24</td>\n",
+       "      <td>2018-03-01 18:53:09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>284</th>\n",
+       "      <td>737550</td>\n",
+       "      <td>Fritsch, Russel and Anderson</td>\n",
+       "      <td>B1-50809</td>\n",
+       "      <td>20</td>\n",
+       "      <td>50.11</td>\n",
+       "      <td>1002.20</td>\n",
+       "      <td>2018-03-01 23:47:17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>285</th>\n",
+       "      <td>688981</td>\n",
+       "      <td>Keeling LLC</td>\n",
+       "      <td>B1-86481</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>97.16</td>\n",
+       "      <td>-97.16</td>\n",
+       "      <td>2018-03-02 01:46:44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>286</th>\n",
+       "      <td>729833</td>\n",
+       "      <td>Koepp Ltd</td>\n",
+       "      <td>S1-82801</td>\n",
+       "      <td>26</td>\n",
+       "      <td>50.29</td>\n",
+       "      <td>1307.54</td>\n",
+       "      <td>2018-03-02 02:59:26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>287</th>\n",
+       "      <td>307599</td>\n",
+       "      <td>Kassulke, Ondricka and Metz</td>\n",
+       "      <td>S1-93683</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>86.38</td>\n",
+       "      <td>-86.38</td>\n",
+       "      <td>2018-03-02 03:29:04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>288</th>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S2-23246</td>\n",
+       "      <td>27</td>\n",
+       "      <td>58.87</td>\n",
+       "      <td>1589.49</td>\n",
+       "      <td>2018-03-02 12:10:30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>289</th>\n",
+       "      <td>307599</td>\n",
+       "      <td>Kassulke, Ondricka and Metz</td>\n",
+       "      <td>S2-34077</td>\n",
+       "      <td>48</td>\n",
+       "      <td>53.36</td>\n",
+       "      <td>2561.28</td>\n",
+       "      <td>2018-03-02 14:12:28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>290</th>\n",
+       "      <td>141962</td>\n",
+       "      <td>Herman LLC</td>\n",
+       "      <td>S2-10342</td>\n",
+       "      <td>49</td>\n",
+       "      <td>31.39</td>\n",
+       "      <td>1538.11</td>\n",
+       "      <td>2018-03-02 23:08:02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>291</th>\n",
+       "      <td>257198</td>\n",
+       "      <td>Cronin, Oberbrunner and Spencer</td>\n",
+       "      <td>S2-16558</td>\n",
+       "      <td>7</td>\n",
+       "      <td>26.21</td>\n",
+       "      <td>183.47</td>\n",
+       "      <td>2018-03-03 00:29:24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>292</th>\n",
+       "      <td>257198</td>\n",
+       "      <td>Cronin, Oberbrunner and Spencer</td>\n",
+       "      <td>S2-23246</td>\n",
+       "      <td>40</td>\n",
+       "      <td>49.19</td>\n",
+       "      <td>1967.60</td>\n",
+       "      <td>2018-03-03 10:17:24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>293</th>\n",
+       "      <td>688981</td>\n",
+       "      <td>Keeling LLC</td>\n",
+       "      <td>B1-38851</td>\n",
+       "      <td>25</td>\n",
+       "      <td>74.68</td>\n",
+       "      <td>1867.00</td>\n",
+       "      <td>2018-03-03 18:18:54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>294</th>\n",
+       "      <td>239344</td>\n",
+       "      <td>Stokes LLC</td>\n",
+       "      <td>S1-82801</td>\n",
+       "      <td>41</td>\n",
+       "      <td>78.90</td>\n",
+       "      <td>3234.90</td>\n",
+       "      <td>2018-03-04 01:06:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>295</th>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>S2-78676</td>\n",
+       "      <td>38</td>\n",
+       "      <td>89.02</td>\n",
+       "      <td>3382.76</td>\n",
+       "      <td>2018-03-04 01:17:11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>296</th>\n",
+       "      <td>642753</td>\n",
+       "      <td>Pollich LLC</td>\n",
+       "      <td>S2-10342</td>\n",
+       "      <td>40</td>\n",
+       "      <td>56.85</td>\n",
+       "      <td>2274.00</td>\n",
+       "      <td>2018-03-04 01:49:22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>297</th>\n",
+       "      <td>737550</td>\n",
+       "      <td>Fritsch, Russel and Anderson</td>\n",
+       "      <td>S2-83881</td>\n",
+       "      <td>12</td>\n",
+       "      <td>63.60</td>\n",
+       "      <td>763.20</td>\n",
+       "      <td>2018-03-04 15:26:20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>298</th>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>B1-53636</td>\n",
+       "      <td>5</td>\n",
+       "      <td>72.16</td>\n",
+       "      <td>360.80</td>\n",
+       "      <td>2018-03-04 21:18:04</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>299 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     account number                             name       sku  quantity  \\\n",
+       "0            412290                    Jerde-Hilpert  S2-77896        43   \n",
+       "1            383080                         Will LLC  S1-93683        28   \n",
+       "2            729833                        Koepp Ltd  S1-30248        13   \n",
+       "3            424914                    White-Trantow  S2-82423        38   \n",
+       "4            672390                  Kuhn-Gusikowski  S1-50961        34   \n",
+       "5            239344                       Stokes LLC  S2-10342        34   \n",
+       "6            218895                        Kulas Inc  S2-34077        30   \n",
+       "7            672390                  Kuhn-Gusikowski  B1-05914        25   \n",
+       "8            740150                       Barton LLC  S1-82801        29   \n",
+       "9            218895                        Kulas Inc  B1-20000        23   \n",
+       "10           257198  Cronin, Oberbrunner and Spencer  S1-30248        14   \n",
+       "11           672390                  Kuhn-Gusikowski  S2-83881        26   \n",
+       "12           424914                    White-Trantow  B1-53636        44   \n",
+       "13           307599      Kassulke, Ondricka and Metz  S2-10342         4   \n",
+       "14           383080                         Will LLC  B1-20000        45   \n",
+       "15           527099                 Sanford and Sons  S2-82423        44   \n",
+       "16           146832                     Kiehn-Spinka  S2-77896        27   \n",
+       "17           642753                      Pollich LLC  B1-05914        15   \n",
+       "18           786968         Frami, Hills and Schmidt  S1-65481        14   \n",
+       "19           527099                 Sanford and Sons  S1-82801        35   \n",
+       "20           257198  Cronin, Oberbrunner and Spencer  S2-23246        43   \n",
+       "21           527099                 Sanford and Sons  B1-65551         6   \n",
+       "22           218895                        Kulas Inc  S1-47412        21   \n",
+       "23           729833                        Koepp Ltd  S2-10342        12   \n",
+       "24           412290                    Jerde-Hilpert  S1-82801        26   \n",
+       "25           642753                      Pollich LLC  S2-77896        13   \n",
+       "26           218895                        Kulas Inc  B1-33364        17   \n",
+       "27           307599      Kassulke, Ondricka and Metz  S1-50961        28   \n",
+       "28           146832                     Kiehn-Spinka  S1-93683        17   \n",
+       "29           383080                         Will LLC  S1-82801         3   \n",
+       "..              ...                              ...       ...       ...   \n",
+       "269          141962                       Herman LLC  B1-69924        21   \n",
+       "270          383080                         Will LLC  S2-23246        47   \n",
+       "271          383080                         Will LLC  B1-20000         4   \n",
+       "272          672390                  Kuhn-Gusikowski  S1-93683        10   \n",
+       "273          424914                    White-Trantow  S1-93683        -1   \n",
+       "274          383080                         Will LLC  S1-93683        41   \n",
+       "275          714466                  Trantow-Barrows  S2-11481        46   \n",
+       "276          740150                       Barton LLC  S1-30248        21   \n",
+       "277          218895                        Kulas Inc  B1-69924        44   \n",
+       "278          383080                         Will LLC  B1-53102         6   \n",
+       "279          688981                      Keeling LLC  S2-23246        18   \n",
+       "280          642753                      Pollich LLC  B1-04202         8   \n",
+       "281          163416                      Purdy-Kunde  S1-30248        19   \n",
+       "282          527099                 Sanford and Sons  S2-82423         3   \n",
+       "283          527099                 Sanford and Sons  B1-50809         8   \n",
+       "284          737550     Fritsch, Russel and Anderson  B1-50809        20   \n",
+       "285          688981                      Keeling LLC  B1-86481        -1   \n",
+       "286          729833                        Koepp Ltd  S1-82801        26   \n",
+       "287          307599      Kassulke, Ondricka and Metz  S1-93683        -1   \n",
+       "288          412290                    Jerde-Hilpert  S2-23246        27   \n",
+       "289          307599      Kassulke, Ondricka and Metz  S2-34077        48   \n",
+       "290          141962                       Herman LLC  S2-10342        49   \n",
+       "291          257198  Cronin, Oberbrunner and Spencer  S2-16558         7   \n",
+       "292          257198  Cronin, Oberbrunner and Spencer  S2-23246        40   \n",
+       "293          688981                      Keeling LLC  B1-38851        25   \n",
+       "294          239344                       Stokes LLC  S1-82801        41   \n",
+       "295          218895                        Kulas Inc  S2-78676        38   \n",
+       "296          642753                      Pollich LLC  S2-10342        40   \n",
+       "297          737550     Fritsch, Russel and Anderson  S2-83881        12   \n",
+       "298          146832                     Kiehn-Spinka  B1-53636         5   \n",
+       "\n",
+       "     unit price  ext price                date  \n",
+       "0         76.66    3296.38 2018-03-04 23:10:28  \n",
+       "1         90.86    2544.08 2018-03-05 05:11:49  \n",
+       "2         44.84     582.92 2018-03-05 17:33:52  \n",
+       "3         50.93    1935.34 2018-03-05 21:40:10  \n",
+       "4         48.20    1638.80 2018-03-06 11:59:00  \n",
+       "5         36.93    1255.62 2018-03-06 23:49:16  \n",
+       "6         99.73    2991.90 2018-03-07 05:15:29  \n",
+       "7         89.86    2246.50 2018-03-07 06:25:52  \n",
+       "8         60.81    1763.49 2018-03-07 10:24:54  \n",
+       "9         99.57    2290.11 2018-03-07 13:34:00  \n",
+       "10        91.37    1279.18 2018-03-07 16:21:58  \n",
+       "11        88.38    2297.88 2018-03-07 20:18:18  \n",
+       "12        59.93    2636.92 2018-03-07 21:16:24  \n",
+       "13        12.99      51.96 2018-03-07 23:59:26  \n",
+       "14        29.90    1345.50 2018-03-08 01:50:36  \n",
+       "15        23.30    1025.20 2018-03-09 00:18:55  \n",
+       "16        70.76    1910.52 2018-03-09 11:05:47  \n",
+       "17        65.50     982.50 2018-03-09 11:22:09  \n",
+       "18        44.67     625.38 2018-03-09 19:13:11  \n",
+       "19        95.17    3330.95 2018-03-09 19:13:20  \n",
+       "20        87.40    3758.20 2018-03-10 05:39:36  \n",
+       "21        58.04     348.24 2018-03-10 05:52:17  \n",
+       "22        94.45    1983.45 2018-03-10 11:02:14  \n",
+       "23        93.64    1123.68 2018-03-10 13:08:45  \n",
+       "24        74.79    1944.54 2018-03-11 02:49:11  \n",
+       "25        48.14     625.82 2018-03-11 06:19:26  \n",
+       "26        93.01    1581.17 2018-03-11 08:20:57  \n",
+       "27        34.87     976.36 2018-03-11 10:49:24  \n",
+       "28        10.63     180.71 2018-03-11 12:43:03  \n",
+       "29        77.06     231.18 2018-03-11 16:38:10  \n",
+       "..          ...        ...                 ...  \n",
+       "269       95.00    1995.00 2018-02-26 19:08:02  \n",
+       "270       10.93     513.71 2018-02-26 20:41:02  \n",
+       "271       35.04     140.16 2018-02-26 23:56:15  \n",
+       "272       34.96     349.60 2018-02-27 02:58:58  \n",
+       "273       25.01     -25.01 2018-02-27 10:32:25  \n",
+       "274       97.29    3988.89 2018-02-27 14:54:11  \n",
+       "275       39.61    1822.06 2018-02-27 16:12:51  \n",
+       "276       14.05     295.05 2018-02-28 02:29:03  \n",
+       "277       72.43    3186.92 2018-02-28 08:42:56  \n",
+       "278       32.80     196.80 2018-02-28 17:35:23  \n",
+       "279       64.71    1164.78 2018-02-28 23:21:04  \n",
+       "280       95.86     766.88 2018-02-28 23:47:32  \n",
+       "281       65.03    1235.57 2018-03-01 16:07:40  \n",
+       "282       76.21     228.63 2018-03-01 17:18:01  \n",
+       "283       70.78     566.24 2018-03-01 18:53:09  \n",
+       "284       50.11    1002.20 2018-03-01 23:47:17  \n",
+       "285       97.16     -97.16 2018-03-02 01:46:44  \n",
+       "286       50.29    1307.54 2018-03-02 02:59:26  \n",
+       "287       86.38     -86.38 2018-03-02 03:29:04  \n",
+       "288       58.87    1589.49 2018-03-02 12:10:30  \n",
+       "289       53.36    2561.28 2018-03-02 14:12:28  \n",
+       "290       31.39    1538.11 2018-03-02 23:08:02  \n",
+       "291       26.21     183.47 2018-03-03 00:29:24  \n",
+       "292       49.19    1967.60 2018-03-03 10:17:24  \n",
+       "293       74.68    1867.00 2018-03-03 18:18:54  \n",
+       "294       78.90    3234.90 2018-03-04 01:06:20  \n",
+       "295       89.02    3382.76 2018-03-04 01:17:11  \n",
+       "296       56.85    2274.00 2018-03-04 01:49:22  \n",
+       "297       63.60     763.20 2018-03-04 15:26:20  \n",
+       "298       72.16     360.80 2018-03-04 21:18:04  \n",
+       "\n",
+       "[299 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.concat(pd.read_excel(workbook_url, sheet_name=None), ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Combining-Multiple-Excel-File-with-Pandas.ipynb b/notebooks/Combining-Multiple-Excel-File-with-Pandas.ipynb
index f493e53..f32814b 100644
--- a/notebooks/Combining-Multiple-Excel-File-with-Pandas.ipynb
+++ b/notebooks/Combining-Multiple-Excel-File-with-Pandas.ipynb
@@ -35,9 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -54,17 +52,19 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "customer-status.xlsx  sales-jan-2014.xlsx   sample-salesv3.xlsx\r\n",
-      "sales-feb-2014.xlsx   sales-mar-2014.xlsx\r\n",
-      "salesfunnel.xlsx      sample-sales-tax.csv\r\n"
+      "All-Web-Site-Data-Audience-Overview.xlsx  sales-jan-2014.xlsx\r\n",
+      "customer-status.xlsx\t\t\t  sales-mar-2014.xlsx\r\n",
+      "March-2017-forecast-article.xlsx\t  sales_transactions.xlsx\r\n",
+      "mn-budget-detail-2014.csv\t\t  sample-sales-reps.xlsx\r\n",
+      "sales-estimate.xlsx\t\t\t  sample-sales-tax.csv\r\n",
+      "sales-feb-2014.xlsx\t\t\t  sample-salesv3.xlsx\r\n",
+      "salesfunnel.xlsx\r\n"
      ]
     }
    ],
@@ -82,9 +82,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -96,7 +94,7 @@
     }
    ],
    "source": [
-    "!ls ../data/sales-*.xlsx"
+    "!ls ../data/sales-*-2014.xlsx"
    ]
   },
   {
@@ -109,9 +107,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import glob"
@@ -120,16 +116,14 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['../data/sales-jan-2014.xlsx',\n",
-       " '../data/sales-mar-2014.xlsx',\n",
-       " '../data/sales-feb-2014.xlsx']"
+       "['../data/sales-feb-2014.xlsx',\n",
+       " '../data/sales-jan-2014.xlsx',\n",
+       " '../data/sales-mar-2014.xlsx']"
       ]
      },
      "execution_count": 5,
@@ -138,7 +132,7 @@
     }
    ],
    "source": [
-    "glob.glob(\"../data/sales-*.xlsx\")"
+    "glob.glob(\"../data/sales-*-2014.xlsx\")"
    ]
   },
   {
@@ -155,13 +149,11 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "all_data = pd.DataFrame()\n",
-    "for f in glob.glob(\"../data/sales-*.xlsx\"):\n",
+    "for f in glob.glob(\"../data/sales-*-2014.xlsx\"):\n",
     "    df = pd.read_excel(f)\n",
     "    all_data = all_data.append(df,ignore_index=True)"
    ]
@@ -176,14 +168,25 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -197,74 +200,74 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
-       "      <td>1742.000000</td>\n",
-       "      <td>1742.000000</td>\n",
-       "      <td>1742.000000</td>\n",
-       "      <td>1742.000000</td>\n",
+       "      <td>384.000000</td>\n",
+       "      <td>384.000000</td>\n",
+       "      <td>384.000000</td>\n",
+       "      <td>384.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>485766.487945</td>\n",
-       "      <td>24.319173</td>\n",
-       "      <td>54.985454</td>\n",
-       "      <td>1349.229392</td>\n",
+       "      <td>478125.989583</td>\n",
+       "      <td>24.372396</td>\n",
+       "      <td>56.651406</td>\n",
+       "      <td>1394.517344</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
-       "      <td>223750.660792</td>\n",
-       "      <td>14.502759</td>\n",
-       "      <td>26.108490</td>\n",
-       "      <td>1094.639319</td>\n",
+       "      <td>220902.947401</td>\n",
+       "      <td>14.373219</td>\n",
+       "      <td>27.075883</td>\n",
+       "      <td>1117.809743</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
        "      <td>141962.000000</td>\n",
        "      <td>-1.000000</td>\n",
-       "      <td>10.030000</td>\n",
+       "      <td>10.210000</td>\n",
        "      <td>-97.160000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
        "      <td>257198.000000</td>\n",
        "      <td>12.000000</td>\n",
-       "      <td>32.132500</td>\n",
-       "      <td>468.592500</td>\n",
+       "      <td>32.612500</td>\n",
+       "      <td>482.745000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
-       "      <td>527099.000000</td>\n",
-       "      <td>25.000000</td>\n",
-       "      <td>55.465000</td>\n",
-       "      <td>1049.700000</td>\n",
+       "      <td>424914.000000</td>\n",
+       "      <td>23.500000</td>\n",
+       "      <td>58.160000</td>\n",
+       "      <td>1098.710000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
        "      <td>714466.000000</td>\n",
        "      <td>37.000000</td>\n",
-       "      <td>77.607500</td>\n",
-       "      <td>2074.972500</td>\n",
+       "      <td>80.965000</td>\n",
+       "      <td>2132.260000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
        "      <td>786968.000000</td>\n",
        "      <td>49.000000</td>\n",
-       "      <td>99.850000</td>\n",
-       "      <td>4824.540000</td>\n",
+       "      <td>99.730000</td>\n",
+       "      <td>4590.810000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "       account number     quantity   unit price    ext price\n",
-       "count     1742.000000  1742.000000  1742.000000  1742.000000\n",
-       "mean    485766.487945    24.319173    54.985454  1349.229392\n",
-       "std     223750.660792    14.502759    26.108490  1094.639319\n",
-       "min     141962.000000    -1.000000    10.030000   -97.160000\n",
-       "25%     257198.000000    12.000000    32.132500   468.592500\n",
-       "50%     527099.000000    25.000000    55.465000  1049.700000\n",
-       "75%     714466.000000    37.000000    77.607500  2074.972500\n",
-       "max     786968.000000    49.000000    99.850000  4824.540000"
+       "       account number    quantity  unit price    ext price\n",
+       "count      384.000000  384.000000  384.000000   384.000000\n",
+       "mean    478125.989583   24.372396   56.651406  1394.517344\n",
+       "std     220902.947401   14.373219   27.075883  1117.809743\n",
+       "min     141962.000000   -1.000000   10.210000   -97.160000\n",
+       "25%     257198.000000   12.000000   32.612500   482.745000\n",
+       "50%     424914.000000   23.500000   58.160000  1098.710000\n",
+       "75%     714466.000000   37.000000   80.965000  2132.260000\n",
+       "max     786968.000000   49.000000   99.730000  4590.810000"
       ]
      },
      "execution_count": 7,
@@ -286,14 +289,25 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -310,72 +324,72 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>740150</td>\n",
-       "      <td>Barton LLC</td>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
        "      <td>B1-20000</td>\n",
-       "      <td>39</td>\n",
-       "      <td>86.69</td>\n",
-       "      <td>3380.91</td>\n",
-       "      <td>2014-01-01 07:21:51</td>\n",
+       "      <td>7</td>\n",
+       "      <td>33.69</td>\n",
+       "      <td>235.83</td>\n",
+       "      <td>2014-02-01 09:04:59</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>714466</td>\n",
-       "      <td>Trantow-Barrows</td>\n",
-       "      <td>S2-77896</td>\n",
-       "      <td>-1</td>\n",
-       "      <td>63.16</td>\n",
-       "      <td>-63.16</td>\n",
-       "      <td>2014-01-01 10:00:47</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S1-27722</td>\n",
+       "      <td>11</td>\n",
+       "      <td>21.12</td>\n",
+       "      <td>232.32</td>\n",
+       "      <td>2014-02-01 11:51:46</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>218895</td>\n",
-       "      <td>Kulas Inc</td>\n",
-       "      <td>B1-69924</td>\n",
-       "      <td>23</td>\n",
-       "      <td>90.70</td>\n",
-       "      <td>2086.10</td>\n",
-       "      <td>2014-01-01 13:24:58</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>B1-86481</td>\n",
+       "      <td>3</td>\n",
+       "      <td>35.99</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>2014-02-01 17:24:32</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>307599</td>\n",
-       "      <td>Kassulke, Ondricka and Metz</td>\n",
-       "      <td>S1-65481</td>\n",
-       "      <td>41</td>\n",
-       "      <td>21.05</td>\n",
-       "      <td>863.05</td>\n",
-       "      <td>2014-01-01 15:05:22</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>23</td>\n",
+       "      <td>78.90</td>\n",
+       "      <td>1814.70</td>\n",
+       "      <td>2014-02-01 19:56:48</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>412290</td>\n",
-       "      <td>Jerde-Hilpert</td>\n",
-       "      <td>S2-34077</td>\n",
-       "      <td>6</td>\n",
-       "      <td>83.21</td>\n",
-       "      <td>499.26</td>\n",
-       "      <td>2014-01-01 23:26:55</td>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>S1-06532</td>\n",
+       "      <td>48</td>\n",
+       "      <td>55.82</td>\n",
+       "      <td>2679.36</td>\n",
+       "      <td>2014-02-02 03:45:20</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   account number                         name       sku  quantity  \\\n",
-       "0          740150                   Barton LLC  B1-20000        39   \n",
-       "1          714466              Trantow-Barrows  S2-77896        -1   \n",
-       "2          218895                    Kulas Inc  B1-69924        23   \n",
-       "3          307599  Kassulke, Ondricka and Metz  S1-65481        41   \n",
-       "4          412290                Jerde-Hilpert  S2-34077         6   \n",
+       "   account number             name       sku  quantity  unit price  ext price  \\\n",
+       "0          383080         Will LLC  B1-20000         7       33.69     235.83   \n",
+       "1          412290    Jerde-Hilpert  S1-27722        11       21.12     232.32   \n",
+       "2          412290    Jerde-Hilpert  B1-86481         3       35.99     107.97   \n",
+       "3          412290    Jerde-Hilpert  B1-20000        23       78.90    1814.70   \n",
+       "4          672390  Kuhn-Gusikowski  S1-06532        48       55.82    2679.36   \n",
        "\n",
-       "   unit price  ext price                 date  \n",
-       "0       86.69    3380.91  2014-01-01 07:21:51  \n",
-       "1       63.16     -63.16  2014-01-01 10:00:47  \n",
-       "2       90.70    2086.10  2014-01-01 13:24:58  \n",
-       "3       21.05     863.05  2014-01-01 15:05:22  \n",
-       "4       83.21     499.26  2014-01-01 23:26:55  "
+       "                  date  \n",
+       "0  2014-02-01 09:04:59  \n",
+       "1  2014-02-01 11:51:46  \n",
+       "2  2014-02-01 17:24:32  \n",
+       "3  2014-02-01 19:56:48  \n",
+       "4  2014-02-02 03:45:20  "
       ]
      },
      "execution_count": 8,
@@ -397,9 +411,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "all_data['date'] = pd.to_datetime(all_data['date'])"
@@ -424,14 +436,25 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -582,14 +605,25 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -607,77 +641,77 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>740150</td>\n",
-       "      <td>Barton LLC</td>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
        "      <td>B1-20000</td>\n",
-       "      <td>39</td>\n",
-       "      <td>86.69</td>\n",
-       "      <td>3380.91</td>\n",
-       "      <td>2014-01-01 07:21:51</td>\n",
-       "      <td>gold</td>\n",
+       "      <td>7</td>\n",
+       "      <td>33.69</td>\n",
+       "      <td>235.83</td>\n",
+       "      <td>2014-02-01 09:04:59</td>\n",
+       "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>714466</td>\n",
-       "      <td>Trantow-Barrows</td>\n",
-       "      <td>S2-77896</td>\n",
-       "      <td>-1</td>\n",
-       "      <td>63.16</td>\n",
-       "      <td>-63.16</td>\n",
-       "      <td>2014-01-01 10:00:47</td>\n",
-       "      <td>silver</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S1-27722</td>\n",
+       "      <td>11</td>\n",
+       "      <td>21.12</td>\n",
+       "      <td>232.32</td>\n",
+       "      <td>2014-02-01 11:51:46</td>\n",
+       "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>218895</td>\n",
-       "      <td>Kulas Inc</td>\n",
-       "      <td>B1-69924</td>\n",
-       "      <td>23</td>\n",
-       "      <td>90.70</td>\n",
-       "      <td>2086.10</td>\n",
-       "      <td>2014-01-01 13:24:58</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>B1-86481</td>\n",
+       "      <td>3</td>\n",
+       "      <td>35.99</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>2014-02-01 17:24:32</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>307599</td>\n",
-       "      <td>Kassulke, Ondricka and Metz</td>\n",
-       "      <td>S1-65481</td>\n",
-       "      <td>41</td>\n",
-       "      <td>21.05</td>\n",
-       "      <td>863.05</td>\n",
-       "      <td>2014-01-01 15:05:22</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>23</td>\n",
+       "      <td>78.90</td>\n",
+       "      <td>1814.70</td>\n",
+       "      <td>2014-02-01 19:56:48</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>412290</td>\n",
-       "      <td>Jerde-Hilpert</td>\n",
-       "      <td>S2-34077</td>\n",
-       "      <td>6</td>\n",
-       "      <td>83.21</td>\n",
-       "      <td>499.26</td>\n",
-       "      <td>2014-01-01 23:26:55</td>\n",
-       "      <td>bronze</td>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>S1-06532</td>\n",
+       "      <td>48</td>\n",
+       "      <td>55.82</td>\n",
+       "      <td>2679.36</td>\n",
+       "      <td>2014-02-02 03:45:20</td>\n",
+       "      <td>silver</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   account number                         name       sku  quantity  \\\n",
-       "0          740150                   Barton LLC  B1-20000        39   \n",
-       "1          714466              Trantow-Barrows  S2-77896        -1   \n",
-       "2          218895                    Kulas Inc  B1-69924        23   \n",
-       "3          307599  Kassulke, Ondricka and Metz  S1-65481        41   \n",
-       "4          412290                Jerde-Hilpert  S2-34077         6   \n",
+       "   account number             name       sku  quantity  unit price  ext price  \\\n",
+       "0          383080         Will LLC  B1-20000         7       33.69     235.83   \n",
+       "1          412290    Jerde-Hilpert  S1-27722        11       21.12     232.32   \n",
+       "2          412290    Jerde-Hilpert  B1-86481         3       35.99     107.97   \n",
+       "3          412290    Jerde-Hilpert  B1-20000        23       78.90    1814.70   \n",
+       "4          672390  Kuhn-Gusikowski  S1-06532        48       55.82    2679.36   \n",
        "\n",
-       "   unit price  ext price                date  status  \n",
-       "0       86.69    3380.91 2014-01-01 07:21:51    gold  \n",
-       "1       63.16     -63.16 2014-01-01 10:00:47  silver  \n",
-       "2       90.70    2086.10 2014-01-01 13:24:58  bronze  \n",
-       "3       21.05     863.05 2014-01-01 15:05:22  bronze  \n",
-       "4       83.21     499.26 2014-01-01 23:26:55  bronze  "
+       "                 date  status  \n",
+       "0 2014-02-01 09:04:59     NaN  \n",
+       "1 2014-02-01 11:51:46  bronze  \n",
+       "2 2014-02-01 17:24:32  bronze  \n",
+       "3 2014-02-01 19:56:48  bronze  \n",
+       "4 2014-02-02 03:45:20  silver  "
       ]
      },
      "execution_count": 11,
@@ -700,14 +734,25 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
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+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
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@@ -724,58 +769,58 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
+       "      <th>15</th>\n",
        "      <td>737550</td>\n",
        "      <td>Fritsch, Russel and Anderson</td>\n",
-       "      <td>S2-82423</td>\n",
-       "      <td>14</td>\n",
-       "      <td>81.92</td>\n",
-       "      <td>1146.88</td>\n",
-       "      <td>2014-01-03 19:07:37</td>\n",
+       "      <td>S1-47412</td>\n",
+       "      <td>40</td>\n",
+       "      <td>51.01</td>\n",
+       "      <td>2040.40</td>\n",
+       "      <td>2014-02-05 01:20:40</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14</th>\n",
+       "      <th>25</th>\n",
        "      <td>737550</td>\n",
        "      <td>Fritsch, Russel and Anderson</td>\n",
-       "      <td>B1-53102</td>\n",
-       "      <td>23</td>\n",
-       "      <td>71.56</td>\n",
-       "      <td>1645.88</td>\n",
-       "      <td>2014-01-04 08:57:48</td>\n",
+       "      <td>S1-06532</td>\n",
+       "      <td>34</td>\n",
+       "      <td>18.69</td>\n",
+       "      <td>635.46</td>\n",
+       "      <td>2014-02-07 09:22:02</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>26</th>\n",
+       "      <th>66</th>\n",
        "      <td>737550</td>\n",
        "      <td>Fritsch, Russel and Anderson</td>\n",
-       "      <td>B1-53636</td>\n",
-       "      <td>42</td>\n",
-       "      <td>42.06</td>\n",
-       "      <td>1766.52</td>\n",
-       "      <td>2014-01-08 00:02:11</td>\n",
+       "      <td>S1-27722</td>\n",
+       "      <td>15</td>\n",
+       "      <td>70.23</td>\n",
+       "      <td>1053.45</td>\n",
+       "      <td>2014-02-16 18:24:42</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>32</th>\n",
+       "      <th>78</th>\n",
        "      <td>737550</td>\n",
        "      <td>Fritsch, Russel and Anderson</td>\n",
-       "      <td>S1-27722</td>\n",
-       "      <td>20</td>\n",
-       "      <td>29.54</td>\n",
-       "      <td>590.80</td>\n",
-       "      <td>2014-01-09 13:20:40</td>\n",
+       "      <td>S2-34077</td>\n",
+       "      <td>26</td>\n",
+       "      <td>93.35</td>\n",
+       "      <td>2427.10</td>\n",
+       "      <td>2014-02-20 18:45:43</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>42</th>\n",
+       "      <th>80</th>\n",
        "      <td>737550</td>\n",
        "      <td>Fritsch, Russel and Anderson</td>\n",
        "      <td>S1-93683</td>\n",
-       "      <td>22</td>\n",
-       "      <td>71.68</td>\n",
-       "      <td>1576.96</td>\n",
-       "      <td>2014-01-11 23:47:36</td>\n",
+       "      <td>31</td>\n",
+       "      <td>10.52</td>\n",
+       "      <td>326.12</td>\n",
+       "      <td>2014-02-21 13:55:45</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -784,18 +829,18 @@
       ],
       "text/plain": [
        "    account number                          name       sku  quantity  \\\n",
-       "9           737550  Fritsch, Russel and Anderson  S2-82423        14   \n",
-       "14          737550  Fritsch, Russel and Anderson  B1-53102        23   \n",
-       "26          737550  Fritsch, Russel and Anderson  B1-53636        42   \n",
-       "32          737550  Fritsch, Russel and Anderson  S1-27722        20   \n",
-       "42          737550  Fritsch, Russel and Anderson  S1-93683        22   \n",
+       "15          737550  Fritsch, Russel and Anderson  S1-47412        40   \n",
+       "25          737550  Fritsch, Russel and Anderson  S1-06532        34   \n",
+       "66          737550  Fritsch, Russel and Anderson  S1-27722        15   \n",
+       "78          737550  Fritsch, Russel and Anderson  S2-34077        26   \n",
+       "80          737550  Fritsch, Russel and Anderson  S1-93683        31   \n",
        "\n",
        "    unit price  ext price                date status  \n",
-       "9        81.92    1146.88 2014-01-03 19:07:37    NaN  \n",
-       "14       71.56    1645.88 2014-01-04 08:57:48    NaN  \n",
-       "26       42.06    1766.52 2014-01-08 00:02:11    NaN  \n",
-       "32       29.54     590.80 2014-01-09 13:20:40    NaN  \n",
-       "42       71.68    1576.96 2014-01-11 23:47:36    NaN  "
+       "15       51.01    2040.40 2014-02-05 01:20:40    NaN  \n",
+       "25       18.69     635.46 2014-02-07 09:22:02    NaN  \n",
+       "66       70.23    1053.45 2014-02-16 18:24:42    NaN  \n",
+       "78       93.35    2427.10 2014-02-20 18:45:43    NaN  \n",
+       "80       10.52     326.12 2014-02-21 13:55:45    NaN  "
       ]
      },
      "execution_count": 12,
@@ -817,14 +862,25 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
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        "<table border=\"1\" class=\"dataframe\">\n",
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@@ -842,77 +898,77 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>740150</td>\n",
-       "      <td>Barton LLC</td>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
        "      <td>B1-20000</td>\n",
-       "      <td>39</td>\n",
-       "      <td>86.69</td>\n",
-       "      <td>3380.91</td>\n",
-       "      <td>2014-01-01 07:21:51</td>\n",
-       "      <td>gold</td>\n",
+       "      <td>7</td>\n",
+       "      <td>33.69</td>\n",
+       "      <td>235.83</td>\n",
+       "      <td>2014-02-01 09:04:59</td>\n",
+       "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>714466</td>\n",
-       "      <td>Trantow-Barrows</td>\n",
-       "      <td>S2-77896</td>\n",
-       "      <td>-1</td>\n",
-       "      <td>63.16</td>\n",
-       "      <td>-63.16</td>\n",
-       "      <td>2014-01-01 10:00:47</td>\n",
-       "      <td>silver</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S1-27722</td>\n",
+       "      <td>11</td>\n",
+       "      <td>21.12</td>\n",
+       "      <td>232.32</td>\n",
+       "      <td>2014-02-01 11:51:46</td>\n",
+       "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>218895</td>\n",
-       "      <td>Kulas Inc</td>\n",
-       "      <td>B1-69924</td>\n",
-       "      <td>23</td>\n",
-       "      <td>90.70</td>\n",
-       "      <td>2086.10</td>\n",
-       "      <td>2014-01-01 13:24:58</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>B1-86481</td>\n",
+       "      <td>3</td>\n",
+       "      <td>35.99</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>2014-02-01 17:24:32</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>307599</td>\n",
-       "      <td>Kassulke, Ondricka and Metz</td>\n",
-       "      <td>S1-65481</td>\n",
-       "      <td>41</td>\n",
-       "      <td>21.05</td>\n",
-       "      <td>863.05</td>\n",
-       "      <td>2014-01-01 15:05:22</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>23</td>\n",
+       "      <td>78.90</td>\n",
+       "      <td>1814.70</td>\n",
+       "      <td>2014-02-01 19:56:48</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>412290</td>\n",
-       "      <td>Jerde-Hilpert</td>\n",
-       "      <td>S2-34077</td>\n",
-       "      <td>6</td>\n",
-       "      <td>83.21</td>\n",
-       "      <td>499.26</td>\n",
-       "      <td>2014-01-01 23:26:55</td>\n",
-       "      <td>bronze</td>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>S1-06532</td>\n",
+       "      <td>48</td>\n",
+       "      <td>55.82</td>\n",
+       "      <td>2679.36</td>\n",
+       "      <td>2014-02-02 03:45:20</td>\n",
+       "      <td>silver</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   account number                         name       sku  quantity  \\\n",
-       "0          740150                   Barton LLC  B1-20000        39   \n",
-       "1          714466              Trantow-Barrows  S2-77896        -1   \n",
-       "2          218895                    Kulas Inc  B1-69924        23   \n",
-       "3          307599  Kassulke, Ondricka and Metz  S1-65481        41   \n",
-       "4          412290                Jerde-Hilpert  S2-34077         6   \n",
+       "   account number             name       sku  quantity  unit price  ext price  \\\n",
+       "0          383080         Will LLC  B1-20000         7       33.69     235.83   \n",
+       "1          412290    Jerde-Hilpert  S1-27722        11       21.12     232.32   \n",
+       "2          412290    Jerde-Hilpert  B1-86481         3       35.99     107.97   \n",
+       "3          412290    Jerde-Hilpert  B1-20000        23       78.90    1814.70   \n",
+       "4          672390  Kuhn-Gusikowski  S1-06532        48       55.82    2679.36   \n",
        "\n",
-       "   unit price  ext price                date  status  \n",
-       "0       86.69    3380.91 2014-01-01 07:21:51    gold  \n",
-       "1       63.16     -63.16 2014-01-01 10:00:47  silver  \n",
-       "2       90.70    2086.10 2014-01-01 13:24:58  bronze  \n",
-       "3       21.05     863.05 2014-01-01 15:05:22  bronze  \n",
-       "4       83.21     499.26 2014-01-01 23:26:55  bronze  "
+       "                 date  status  \n",
+       "0 2014-02-01 09:04:59  bronze  \n",
+       "1 2014-02-01 11:51:46  bronze  \n",
+       "2 2014-02-01 17:24:32  bronze  \n",
+       "3 2014-02-01 19:56:48  bronze  \n",
+       "4 2014-02-02 03:45:20  silver  "
       ]
      },
      "execution_count": 13,
@@ -935,14 +991,25 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
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        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
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@@ -959,58 +1026,58 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
+       "      <th>15</th>\n",
        "      <td>737550</td>\n",
        "      <td>Fritsch, Russel and Anderson</td>\n",
-       "      <td>S2-82423</td>\n",
-       "      <td>14</td>\n",
-       "      <td>81.92</td>\n",
-       "      <td>1146.88</td>\n",
-       "      <td>2014-01-03 19:07:37</td>\n",
+       "      <td>S1-47412</td>\n",
+       "      <td>40</td>\n",
+       "      <td>51.01</td>\n",
+       "      <td>2040.40</td>\n",
+       "      <td>2014-02-05 01:20:40</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>14</th>\n",
+       "      <th>25</th>\n",
        "      <td>737550</td>\n",
        "      <td>Fritsch, Russel and Anderson</td>\n",
-       "      <td>B1-53102</td>\n",
-       "      <td>23</td>\n",
-       "      <td>71.56</td>\n",
-       "      <td>1645.88</td>\n",
-       "      <td>2014-01-04 08:57:48</td>\n",
+       "      <td>S1-06532</td>\n",
+       "      <td>34</td>\n",
+       "      <td>18.69</td>\n",
+       "      <td>635.46</td>\n",
+       "      <td>2014-02-07 09:22:02</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>26</th>\n",
+       "      <th>66</th>\n",
        "      <td>737550</td>\n",
        "      <td>Fritsch, Russel and Anderson</td>\n",
-       "      <td>B1-53636</td>\n",
-       "      <td>42</td>\n",
-       "      <td>42.06</td>\n",
-       "      <td>1766.52</td>\n",
-       "      <td>2014-01-08 00:02:11</td>\n",
+       "      <td>S1-27722</td>\n",
+       "      <td>15</td>\n",
+       "      <td>70.23</td>\n",
+       "      <td>1053.45</td>\n",
+       "      <td>2014-02-16 18:24:42</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>32</th>\n",
+       "      <th>78</th>\n",
        "      <td>737550</td>\n",
        "      <td>Fritsch, Russel and Anderson</td>\n",
-       "      <td>S1-27722</td>\n",
-       "      <td>20</td>\n",
-       "      <td>29.54</td>\n",
-       "      <td>590.80</td>\n",
-       "      <td>2014-01-09 13:20:40</td>\n",
+       "      <td>S2-34077</td>\n",
+       "      <td>26</td>\n",
+       "      <td>93.35</td>\n",
+       "      <td>2427.10</td>\n",
+       "      <td>2014-02-20 18:45:43</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>42</th>\n",
+       "      <th>80</th>\n",
        "      <td>737550</td>\n",
        "      <td>Fritsch, Russel and Anderson</td>\n",
        "      <td>S1-93683</td>\n",
-       "      <td>22</td>\n",
-       "      <td>71.68</td>\n",
-       "      <td>1576.96</td>\n",
-       "      <td>2014-01-11 23:47:36</td>\n",
+       "      <td>31</td>\n",
+       "      <td>10.52</td>\n",
+       "      <td>326.12</td>\n",
+       "      <td>2014-02-21 13:55:45</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1019,18 +1086,18 @@
       ],
       "text/plain": [
        "    account number                          name       sku  quantity  \\\n",
-       "9           737550  Fritsch, Russel and Anderson  S2-82423        14   \n",
-       "14          737550  Fritsch, Russel and Anderson  B1-53102        23   \n",
-       "26          737550  Fritsch, Russel and Anderson  B1-53636        42   \n",
-       "32          737550  Fritsch, Russel and Anderson  S1-27722        20   \n",
-       "42          737550  Fritsch, Russel and Anderson  S1-93683        22   \n",
+       "15          737550  Fritsch, Russel and Anderson  S1-47412        40   \n",
+       "25          737550  Fritsch, Russel and Anderson  S1-06532        34   \n",
+       "66          737550  Fritsch, Russel and Anderson  S1-27722        15   \n",
+       "78          737550  Fritsch, Russel and Anderson  S2-34077        26   \n",
+       "80          737550  Fritsch, Russel and Anderson  S1-93683        31   \n",
        "\n",
        "    unit price  ext price                date  status  \n",
-       "9        81.92    1146.88 2014-01-03 19:07:37  bronze  \n",
-       "14       71.56    1645.88 2014-01-04 08:57:48  bronze  \n",
-       "26       42.06    1766.52 2014-01-08 00:02:11  bronze  \n",
-       "32       29.54     590.80 2014-01-09 13:20:40  bronze  \n",
-       "42       71.68    1576.96 2014-01-11 23:47:36  bronze  "
+       "15       51.01    2040.40 2014-02-05 01:20:40  bronze  \n",
+       "25       18.69     635.46 2014-02-07 09:22:02  bronze  \n",
+       "66       70.23    1053.45 2014-02-16 18:24:42  bronze  \n",
+       "78       93.35    2427.10 2014-02-20 18:45:43  bronze  \n",
+       "80       10.52     326.12 2014-02-21 13:55:45  bronze  "
       ]
      },
      "execution_count": 14,
@@ -1072,14 +1139,12 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'0.16.0'"
+       "'0.20.2'"
       ]
      },
      "execution_count": 15,
@@ -1101,9 +1166,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "all_data_st[\"status\"] = all_data_st[\"status\"].astype(\"category\")"
@@ -1119,14 +1182,25 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
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+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
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+       "\n",
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+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1144,77 +1218,77 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>740150</td>\n",
-       "      <td>Barton LLC</td>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
        "      <td>B1-20000</td>\n",
-       "      <td>39</td>\n",
-       "      <td>86.69</td>\n",
-       "      <td>3380.91</td>\n",
-       "      <td>2014-01-01 07:21:51</td>\n",
-       "      <td>gold</td>\n",
+       "      <td>7</td>\n",
+       "      <td>33.69</td>\n",
+       "      <td>235.83</td>\n",
+       "      <td>2014-02-01 09:04:59</td>\n",
+       "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>714466</td>\n",
-       "      <td>Trantow-Barrows</td>\n",
-       "      <td>S2-77896</td>\n",
-       "      <td>-1</td>\n",
-       "      <td>63.16</td>\n",
-       "      <td>-63.16</td>\n",
-       "      <td>2014-01-01 10:00:47</td>\n",
-       "      <td>silver</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S1-27722</td>\n",
+       "      <td>11</td>\n",
+       "      <td>21.12</td>\n",
+       "      <td>232.32</td>\n",
+       "      <td>2014-02-01 11:51:46</td>\n",
+       "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>218895</td>\n",
-       "      <td>Kulas Inc</td>\n",
-       "      <td>B1-69924</td>\n",
-       "      <td>23</td>\n",
-       "      <td>90.70</td>\n",
-       "      <td>2086.10</td>\n",
-       "      <td>2014-01-01 13:24:58</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>B1-86481</td>\n",
+       "      <td>3</td>\n",
+       "      <td>35.99</td>\n",
+       "      <td>107.97</td>\n",
+       "      <td>2014-02-01 17:24:32</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>307599</td>\n",
-       "      <td>Kassulke, Ondricka and Metz</td>\n",
-       "      <td>S1-65481</td>\n",
-       "      <td>41</td>\n",
-       "      <td>21.05</td>\n",
-       "      <td>863.05</td>\n",
-       "      <td>2014-01-01 15:05:22</td>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>23</td>\n",
+       "      <td>78.90</td>\n",
+       "      <td>1814.70</td>\n",
+       "      <td>2014-02-01 19:56:48</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>412290</td>\n",
-       "      <td>Jerde-Hilpert</td>\n",
-       "      <td>S2-34077</td>\n",
-       "      <td>6</td>\n",
-       "      <td>83.21</td>\n",
-       "      <td>499.26</td>\n",
-       "      <td>2014-01-01 23:26:55</td>\n",
-       "      <td>bronze</td>\n",
+       "      <td>672390</td>\n",
+       "      <td>Kuhn-Gusikowski</td>\n",
+       "      <td>S1-06532</td>\n",
+       "      <td>48</td>\n",
+       "      <td>55.82</td>\n",
+       "      <td>2679.36</td>\n",
+       "      <td>2014-02-02 03:45:20</td>\n",
+       "      <td>silver</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   account number                         name       sku  quantity  \\\n",
-       "0          740150                   Barton LLC  B1-20000        39   \n",
-       "1          714466              Trantow-Barrows  S2-77896        -1   \n",
-       "2          218895                    Kulas Inc  B1-69924        23   \n",
-       "3          307599  Kassulke, Ondricka and Metz  S1-65481        41   \n",
-       "4          412290                Jerde-Hilpert  S2-34077         6   \n",
+       "   account number             name       sku  quantity  unit price  ext price  \\\n",
+       "0          383080         Will LLC  B1-20000         7       33.69     235.83   \n",
+       "1          412290    Jerde-Hilpert  S1-27722        11       21.12     232.32   \n",
+       "2          412290    Jerde-Hilpert  B1-86481         3       35.99     107.97   \n",
+       "3          412290    Jerde-Hilpert  B1-20000        23       78.90    1814.70   \n",
+       "4          672390  Kuhn-Gusikowski  S1-06532        48       55.82    2679.36   \n",
        "\n",
-       "   unit price  ext price                date  status  \n",
-       "0       86.69    3380.91 2014-01-01 07:21:51    gold  \n",
-       "1       63.16     -63.16 2014-01-01 10:00:47  silver  \n",
-       "2       90.70    2086.10 2014-01-01 13:24:58  bronze  \n",
-       "3       21.05     863.05 2014-01-01 15:05:22  bronze  \n",
-       "4       83.21     499.26 2014-01-01 23:26:55  bronze  "
+       "                 date  status  \n",
+       "0 2014-02-01 09:04:59  bronze  \n",
+       "1 2014-02-01 11:51:46  bronze  \n",
+       "2 2014-02-01 17:24:32  bronze  \n",
+       "3 2014-02-01 19:56:48  bronze  \n",
+       "4 2014-02-02 03:45:20  silver  "
       ]
      },
      "execution_count": 17,
@@ -1236,9 +1310,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1273,14 +1345,25 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1297,58 +1380,58 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1741</th>\n",
-       "      <td>642753</td>\n",
-       "      <td>Pollich LLC</td>\n",
-       "      <td>B1-04202</td>\n",
-       "      <td>8</td>\n",
-       "      <td>95.86</td>\n",
-       "      <td>766.88</td>\n",
-       "      <td>2014-02-28 23:47:32</td>\n",
+       "      <th>0</th>\n",
+       "      <td>383080</td>\n",
+       "      <td>Will LLC</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>7</td>\n",
+       "      <td>33.69</td>\n",
+       "      <td>235.83</td>\n",
+       "      <td>2014-02-01 09:04:59</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1232</th>\n",
+       "      <th>196</th>\n",
        "      <td>218895</td>\n",
        "      <td>Kulas Inc</td>\n",
-       "      <td>S1-06532</td>\n",
-       "      <td>29</td>\n",
-       "      <td>42.75</td>\n",
-       "      <td>1239.75</td>\n",
-       "      <td>2014-09-21 11:27:55</td>\n",
-       "      <td>bronze</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>579</th>\n",
-       "      <td>527099</td>\n",
-       "      <td>Sanford and Sons</td>\n",
-       "      <td>S1-27722</td>\n",
+       "      <td>S2-83881</td>\n",
        "      <td>41</td>\n",
-       "      <td>87.86</td>\n",
-       "      <td>3602.26</td>\n",
-       "      <td>2014-04-14 18:36:11</td>\n",
+       "      <td>78.27</td>\n",
+       "      <td>3209.07</td>\n",
+       "      <td>2014-01-20 09:37:58</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>580</th>\n",
+       "      <th>197</th>\n",
        "      <td>383080</td>\n",
        "      <td>Will LLC</td>\n",
-       "      <td>B1-20000</td>\n",
-       "      <td>40</td>\n",
-       "      <td>51.73</td>\n",
-       "      <td>2069.20</td>\n",
-       "      <td>2014-04-14 22:44:58</td>\n",
+       "      <td>B1-33364</td>\n",
+       "      <td>26</td>\n",
+       "      <td>90.19</td>\n",
+       "      <td>2344.94</td>\n",
+       "      <td>2014-01-20 09:39:59</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>581</th>\n",
-       "      <td>383080</td>\n",
-       "      <td>Will LLC</td>\n",
-       "      <td>S2-10342</td>\n",
-       "      <td>15</td>\n",
-       "      <td>76.75</td>\n",
-       "      <td>1151.25</td>\n",
-       "      <td>2014-04-15 02:57:43</td>\n",
+       "      <th>198</th>\n",
+       "      <td>604255</td>\n",
+       "      <td>Halvorson, Crona and Champlin</td>\n",
+       "      <td>S2-11481</td>\n",
+       "      <td>37</td>\n",
+       "      <td>96.71</td>\n",
+       "      <td>3578.27</td>\n",
+       "      <td>2014-01-20 13:07:28</td>\n",
+       "      <td>bronze</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>200</th>\n",
+       "      <td>527099</td>\n",
+       "      <td>Sanford and Sons</td>\n",
+       "      <td>B1-05914</td>\n",
+       "      <td>18</td>\n",
+       "      <td>64.32</td>\n",
+       "      <td>1157.76</td>\n",
+       "      <td>2014-01-20 21:40:58</td>\n",
        "      <td>bronze</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1356,19 +1439,19 @@
        "</div>"
       ],
       "text/plain": [
-       "      account number              name       sku  quantity  unit price  \\\n",
-       "1741          642753       Pollich LLC  B1-04202         8       95.86   \n",
-       "1232          218895         Kulas Inc  S1-06532        29       42.75   \n",
-       "579           527099  Sanford and Sons  S1-27722        41       87.86   \n",
-       "580           383080          Will LLC  B1-20000        40       51.73   \n",
-       "581           383080          Will LLC  S2-10342        15       76.75   \n",
+       "     account number                           name       sku  quantity  \\\n",
+       "0            383080                       Will LLC  B1-20000         7   \n",
+       "196          218895                      Kulas Inc  S2-83881        41   \n",
+       "197          383080                       Will LLC  B1-33364        26   \n",
+       "198          604255  Halvorson, Crona and Champlin  S2-11481        37   \n",
+       "200          527099               Sanford and Sons  B1-05914        18   \n",
        "\n",
-       "      ext price                date  status  \n",
-       "1741     766.88 2014-02-28 23:47:32  bronze  \n",
-       "1232    1239.75 2014-09-21 11:27:55  bronze  \n",
-       "579     3602.26 2014-04-14 18:36:11  bronze  \n",
-       "580     2069.20 2014-04-14 22:44:58  bronze  \n",
-       "581     1151.25 2014-04-15 02:57:43  bronze  "
+       "     unit price  ext price                date  status  \n",
+       "0         33.69     235.83 2014-02-01 09:04:59  bronze  \n",
+       "196       78.27    3209.07 2014-01-20 09:37:58  bronze  \n",
+       "197       90.19    2344.94 2014-01-20 09:39:59  bronze  \n",
+       "198       96.71    3578.27 2014-01-20 13:07:28  bronze  \n",
+       "200       64.32    1157.76 2014-01-20 21:40:58  bronze  "
       ]
      },
      "execution_count": 19,
@@ -1377,7 +1460,7 @@
     }
    ],
    "source": [
-    "all_data_st.sort(columns=[\"status\"]).head()"
+    "all_data_st.sort_values(by=[\"status\"]).head()"
    ]
   },
   {
@@ -1390,9 +1473,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     " all_data_st[\"status\"].cat.set_categories([ \"gold\",\"silver\",\"bronze\"],inplace=True)"
@@ -1408,14 +1489,25 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1432,58 +1524,58 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
+       "      <th>68</th>\n",
        "      <td>740150</td>\n",
        "      <td>Barton LLC</td>\n",
-       "      <td>B1-20000</td>\n",
-       "      <td>39</td>\n",
-       "      <td>86.69</td>\n",
-       "      <td>3380.91</td>\n",
-       "      <td>2014-01-01 07:21:51</td>\n",
+       "      <td>B1-38851</td>\n",
+       "      <td>17</td>\n",
+       "      <td>81.22</td>\n",
+       "      <td>1380.74</td>\n",
+       "      <td>2014-02-17 17:12:16</td>\n",
        "      <td>gold</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1193</th>\n",
+       "      <th>63</th>\n",
        "      <td>257198</td>\n",
        "      <td>Cronin, Oberbrunner and Spencer</td>\n",
-       "      <td>S2-82423</td>\n",
-       "      <td>23</td>\n",
-       "      <td>52.90</td>\n",
-       "      <td>1216.70</td>\n",
-       "      <td>2014-09-09 03:06:30</td>\n",
+       "      <td>S1-27722</td>\n",
+       "      <td>28</td>\n",
+       "      <td>10.21</td>\n",
+       "      <td>285.88</td>\n",
+       "      <td>2014-02-15 17:27:44</td>\n",
        "      <td>gold</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1194</th>\n",
-       "      <td>141962</td>\n",
-       "      <td>Herman LLC</td>\n",
+       "      <th>207</th>\n",
+       "      <td>740150</td>\n",
+       "      <td>Barton LLC</td>\n",
        "      <td>B1-86481</td>\n",
-       "      <td>45</td>\n",
-       "      <td>52.78</td>\n",
-       "      <td>2375.10</td>\n",
-       "      <td>2014-09-09 11:49:45</td>\n",
+       "      <td>20</td>\n",
+       "      <td>30.41</td>\n",
+       "      <td>608.20</td>\n",
+       "      <td>2014-01-22 16:33:51</td>\n",
        "      <td>gold</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1195</th>\n",
-       "      <td>257198</td>\n",
-       "      <td>Cronin, Oberbrunner and Spencer</td>\n",
-       "      <td>B1-50809</td>\n",
-       "      <td>30</td>\n",
-       "      <td>51.96</td>\n",
-       "      <td>1558.80</td>\n",
-       "      <td>2014-09-09 21:14:31</td>\n",
+       "      <th>61</th>\n",
+       "      <td>740150</td>\n",
+       "      <td>Barton LLC</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>28</td>\n",
+       "      <td>81.39</td>\n",
+       "      <td>2278.92</td>\n",
+       "      <td>2014-02-15 07:45:16</td>\n",
        "      <td>gold</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1197</th>\n",
+       "      <th>60</th>\n",
        "      <td>239344</td>\n",
        "      <td>Stokes LLC</td>\n",
-       "      <td>B1-65551</td>\n",
-       "      <td>43</td>\n",
-       "      <td>15.24</td>\n",
-       "      <td>655.32</td>\n",
-       "      <td>2014-09-10 11:10:02</td>\n",
+       "      <td>S2-83881</td>\n",
+       "      <td>30</td>\n",
+       "      <td>43.00</td>\n",
+       "      <td>1290.00</td>\n",
+       "      <td>2014-02-15 02:13:23</td>\n",
        "      <td>gold</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1491,19 +1583,19 @@
        "</div>"
       ],
       "text/plain": [
-       "      account number                             name       sku  quantity  \\\n",
-       "0             740150                       Barton LLC  B1-20000        39   \n",
-       "1193          257198  Cronin, Oberbrunner and Spencer  S2-82423        23   \n",
-       "1194          141962                       Herman LLC  B1-86481        45   \n",
-       "1195          257198  Cronin, Oberbrunner and Spencer  B1-50809        30   \n",
-       "1197          239344                       Stokes LLC  B1-65551        43   \n",
+       "     account number                             name       sku  quantity  \\\n",
+       "68           740150                       Barton LLC  B1-38851        17   \n",
+       "63           257198  Cronin, Oberbrunner and Spencer  S1-27722        28   \n",
+       "207          740150                       Barton LLC  B1-86481        20   \n",
+       "61           740150                       Barton LLC  B1-20000        28   \n",
+       "60           239344                       Stokes LLC  S2-83881        30   \n",
        "\n",
-       "      unit price  ext price                date status  \n",
-       "0          86.69    3380.91 2014-01-01 07:21:51   gold  \n",
-       "1193       52.90    1216.70 2014-09-09 03:06:30   gold  \n",
-       "1194       52.78    2375.10 2014-09-09 11:49:45   gold  \n",
-       "1195       51.96    1558.80 2014-09-09 21:14:31   gold  \n",
-       "1197       15.24     655.32 2014-09-10 11:10:02   gold  "
+       "     unit price  ext price                date status  \n",
+       "68        81.22    1380.74 2014-02-17 17:12:16   gold  \n",
+       "63        10.21     285.88 2014-02-15 17:27:44   gold  \n",
+       "207       30.41     608.20 2014-01-22 16:33:51   gold  \n",
+       "61        81.39    2278.92 2014-02-15 07:45:16   gold  \n",
+       "60        43.00    1290.00 2014-02-15 02:13:23   gold  "
       ]
      },
      "execution_count": 21,
@@ -1512,23 +1604,21 @@
     }
    ],
    "source": [
-    "all_data_st.sort(columns=[\"status\"]).head()"
+    "all_data_st.sort_values(by=[\"status\"]).head()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "count       1742\n",
+       "count        384\n",
        "unique         3\n",
        "top       bronze\n",
-       "freq         764\n",
+       "freq         172\n",
        "Name: status, dtype: object"
       ]
      },
@@ -1551,14 +1641,25 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1577,21 +1678,21 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>gold</th>\n",
-       "      <td>24.680723</td>\n",
-       "      <td>52.431205</td>\n",
-       "      <td>1325.566867</td>\n",
+       "      <td>24.375000</td>\n",
+       "      <td>53.723889</td>\n",
+       "      <td>1351.944583</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>silver</th>\n",
-       "      <td>23.814241</td>\n",
-       "      <td>55.724241</td>\n",
-       "      <td>1339.477539</td>\n",
+       "      <td>22.842857</td>\n",
+       "      <td>57.272714</td>\n",
+       "      <td>1320.032214</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bronze</th>\n",
-       "      <td>24.589005</td>\n",
-       "      <td>55.470733</td>\n",
-       "      <td>1367.757736</td>\n",
+       "      <td>25.616279</td>\n",
+       "      <td>57.371163</td>\n",
+       "      <td>1472.965930</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1600,9 +1701,9 @@
       "text/plain": [
        "         quantity  unit price    ext price\n",
        "status                                    \n",
-       "gold    24.680723   52.431205  1325.566867\n",
-       "silver  23.814241   55.724241  1339.477539\n",
-       "bronze  24.589005   55.470733  1367.757736"
+       "gold    24.375000   53.723889  1351.944583\n",
+       "silver  22.842857   57.272714  1320.032214\n",
+       "bronze  25.616279   57.371163  1472.965930"
       ]
      },
      "execution_count": 23,
@@ -1624,14 +1725,25 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr>\n",
@@ -1668,39 +1780,39 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>gold</th>\n",
-       "      <td>8194</td>\n",
-       "      <td>24.680723</td>\n",
-       "      <td>14.478670</td>\n",
-       "      <td>17407.16</td>\n",
-       "      <td>52.431205</td>\n",
-       "      <td>26.244516</td>\n",
-       "      <td>440088.20</td>\n",
-       "      <td>1325.566867</td>\n",
-       "      <td>1074.564373</td>\n",
+       "      <td>1755</td>\n",
+       "      <td>24.375000</td>\n",
+       "      <td>14.575145</td>\n",
+       "      <td>3868.12</td>\n",
+       "      <td>53.723889</td>\n",
+       "      <td>28.740080</td>\n",
+       "      <td>97340.01</td>\n",
+       "      <td>1351.944583</td>\n",
+       "      <td>1182.657312</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>silver</th>\n",
-       "      <td>15384</td>\n",
-       "      <td>23.814241</td>\n",
-       "      <td>14.519044</td>\n",
-       "      <td>35997.86</td>\n",
-       "      <td>55.724241</td>\n",
-       "      <td>26.053569</td>\n",
-       "      <td>865302.49</td>\n",
-       "      <td>1339.477539</td>\n",
-       "      <td>1094.908529</td>\n",
+       "      <td>3198</td>\n",
+       "      <td>22.842857</td>\n",
+       "      <td>14.512843</td>\n",
+       "      <td>8018.18</td>\n",
+       "      <td>57.272714</td>\n",
+       "      <td>26.556242</td>\n",
+       "      <td>184804.51</td>\n",
+       "      <td>1320.032214</td>\n",
+       "      <td>1086.384051</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bronze</th>\n",
-       "      <td>18786</td>\n",
-       "      <td>24.589005</td>\n",
-       "      <td>14.506515</td>\n",
-       "      <td>42379.64</td>\n",
-       "      <td>55.470733</td>\n",
-       "      <td>26.062149</td>\n",
-       "      <td>1044966.91</td>\n",
-       "      <td>1367.757736</td>\n",
-       "      <td>1104.129089</td>\n",
+       "      <td>4406</td>\n",
+       "      <td>25.616279</td>\n",
+       "      <td>14.136071</td>\n",
+       "      <td>9867.84</td>\n",
+       "      <td>57.371163</td>\n",
+       "      <td>26.857370</td>\n",
+       "      <td>253350.14</td>\n",
+       "      <td>1472.965930</td>\n",
+       "      <td>1116.683843</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1710,16 +1822,16 @@
        "       quantity                       unit price                        \\\n",
        "            sum       mean        std        sum       mean        std   \n",
        "status                                                                   \n",
-       "gold       8194  24.680723  14.478670   17407.16  52.431205  26.244516   \n",
-       "silver    15384  23.814241  14.519044   35997.86  55.724241  26.053569   \n",
-       "bronze    18786  24.589005  14.506515   42379.64  55.470733  26.062149   \n",
+       "gold       1755  24.375000  14.575145    3868.12  53.723889  28.740080   \n",
+       "silver     3198  22.842857  14.512843    8018.18  57.272714  26.556242   \n",
+       "bronze     4406  25.616279  14.136071    9867.84  57.371163  26.857370   \n",
        "\n",
-       "         ext price                            \n",
-       "               sum         mean          std  \n",
-       "status                                        \n",
-       "gold     440088.20  1325.566867  1074.564373  \n",
-       "silver   865302.49  1339.477539  1094.908529  \n",
-       "bronze  1044966.91  1367.757736  1104.129089  "
+       "        ext price                            \n",
+       "              sum         mean          std  \n",
+       "status                                       \n",
+       "gold     97340.01  1351.944583  1182.657312  \n",
+       "silver  184804.51  1320.032214  1086.384051  \n",
+       "bronze  253350.14  1472.965930  1116.683843  "
       ]
      },
      "execution_count": 24,
@@ -1747,9 +1859,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1767,7 +1877,7 @@
     }
    ],
    "source": [
-    "all_data_st.drop_duplicates(subset=[\"account number\",\"name\"]).ix[:,[0,1,7]].groupby([\"status\"])[\"name\"].count()"
+    "all_data_st.drop_duplicates(subset=[\"account number\",\"name\"]).iloc[:,[0,1,7]].groupby([\"status\"])[\"name\"].count()"
    ]
   },
   {
@@ -1776,27 +1886,36 @@
    "source": [
     "Ok. This makes a little more sense. We see that we have 9 bronze customers and only 4 customers. That is probably why the volumes are so skewed towards our bronze customers."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python [default]",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/notebooks/Common-Excel-Part-2.ipynb b/notebooks/Common-Excel-Part-2.ipynb
index e8a0454..e6a5c34 100644
--- a/notebooks/Common-Excel-Part-2.ipynb
+++ b/notebooks/Common-Excel-Part-2.ipynb
@@ -35,9 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -54,12 +52,10 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_excel(\"../data/sample-salesv3.xlsx\")"
+    "df = pd.read_excel('https://github.com/chris1610/pbpython/blob/master/data/sample-salesv3.xlsx?raw=true')"
    ]
   },
   {
@@ -72,9 +68,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -108,9 +102,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "df['date'] = pd.to_datetime(df['date'])"
@@ -119,14 +111,25 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -223,9 +226,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -277,14 +278,25 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -388,14 +400,25 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -499,14 +522,25 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -610,14 +644,25 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -723,14 +768,25 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -836,14 +892,25 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -961,14 +1028,25 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1059,7 +1137,7 @@
     }
    ],
    "source": [
-    "df = df.sort('date')\n",
+    "df = df.sort_values(by='date')\n",
     "df.head()"
    ]
   },
@@ -1073,14 +1151,25 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1184,14 +1273,25 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1295,14 +1395,25 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
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+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1406,14 +1517,25 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1429,73 +1551,73 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1207</th>\n",
-       "      <td>642753</td>\n",
-       "      <td>Pollich LLC</td>\n",
-       "      <td>B1-04202</td>\n",
-       "      <td>4</td>\n",
-       "      <td>87.70</td>\n",
-       "      <td>350.80</td>\n",
-       "      <td>2014-10-17 01:15:37</td>\n",
+       "      <th>1141</th>\n",
+       "      <td>307599</td>\n",
+       "      <td>Kassulke, Ondricka and Metz</td>\n",
+       "      <td>B1-50809</td>\n",
+       "      <td>25</td>\n",
+       "      <td>56.63</td>\n",
+       "      <td>1415.75</td>\n",
+       "      <td>2014-10-01 10:56:32</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1208</th>\n",
-       "      <td>740150</td>\n",
-       "      <td>Barton LLC</td>\n",
-       "      <td>S1-50961</td>\n",
-       "      <td>13</td>\n",
-       "      <td>21.75</td>\n",
-       "      <td>282.75</td>\n",
-       "      <td>2014-10-17 02:18:13</td>\n",
+       "      <th>1142</th>\n",
+       "      <td>737550</td>\n",
+       "      <td>Fritsch, Russel and Anderson</td>\n",
+       "      <td>S2-82423</td>\n",
+       "      <td>38</td>\n",
+       "      <td>45.17</td>\n",
+       "      <td>1716.46</td>\n",
+       "      <td>2014-10-01 16:17:24</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1209</th>\n",
-       "      <td>672390</td>\n",
-       "      <td>Kuhn-Gusikowski</td>\n",
-       "      <td>B1-53636</td>\n",
-       "      <td>32</td>\n",
-       "      <td>52.71</td>\n",
-       "      <td>1686.72</td>\n",
-       "      <td>2014-10-17 03:30:06</td>\n",
+       "      <th>1143</th>\n",
+       "      <td>737550</td>\n",
+       "      <td>Fritsch, Russel and Anderson</td>\n",
+       "      <td>S1-47412</td>\n",
+       "      <td>6</td>\n",
+       "      <td>68.68</td>\n",
+       "      <td>412.08</td>\n",
+       "      <td>2014-10-01 22:28:49</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1210</th>\n",
-       "      <td>424914</td>\n",
-       "      <td>White-Trantow</td>\n",
-       "      <td>S2-23246</td>\n",
-       "      <td>39</td>\n",
-       "      <td>87.68</td>\n",
-       "      <td>3419.52</td>\n",
-       "      <td>2014-10-17 14:34:15</td>\n",
+       "      <th>1144</th>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>S2-11481</td>\n",
+       "      <td>13</td>\n",
+       "      <td>18.80</td>\n",
+       "      <td>244.40</td>\n",
+       "      <td>2014-10-02 00:31:01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1211</th>\n",
-       "      <td>257198</td>\n",
-       "      <td>Cronin, Oberbrunner and Spencer</td>\n",
-       "      <td>S2-16558</td>\n",
-       "      <td>15</td>\n",
-       "      <td>57.80</td>\n",
-       "      <td>867.00</td>\n",
-       "      <td>2014-10-18 11:15:53</td>\n",
+       "      <th>1145</th>\n",
+       "      <td>424914</td>\n",
+       "      <td>White-Trantow</td>\n",
+       "      <td>B1-53102</td>\n",
+       "      <td>9</td>\n",
+       "      <td>94.47</td>\n",
+       "      <td>850.23</td>\n",
+       "      <td>2014-10-02 02:48:26</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "      account number                             name       sku  quantity  \\\n",
-       "1207          642753                      Pollich LLC  B1-04202         4   \n",
-       "1208          740150                       Barton LLC  S1-50961        13   \n",
-       "1209          672390                  Kuhn-Gusikowski  B1-53636        32   \n",
-       "1210          424914                    White-Trantow  S2-23246        39   \n",
-       "1211          257198  Cronin, Oberbrunner and Spencer  S2-16558        15   \n",
+       "      account number                          name       sku  quantity  \\\n",
+       "1141          307599   Kassulke, Ondricka and Metz  B1-50809        25   \n",
+       "1142          737550  Fritsch, Russel and Anderson  S2-82423        38   \n",
+       "1143          737550  Fritsch, Russel and Anderson  S1-47412         6   \n",
+       "1144          146832                  Kiehn-Spinka  S2-11481        13   \n",
+       "1145          424914                 White-Trantow  B1-53102         9   \n",
        "\n",
        "      unit price  ext price                date  \n",
-       "1207       87.70     350.80 2014-10-17 01:15:37  \n",
-       "1208       21.75     282.75 2014-10-17 02:18:13  \n",
-       "1209       52.71    1686.72 2014-10-17 03:30:06  \n",
-       "1210       87.68    3419.52 2014-10-17 14:34:15  \n",
-       "1211       57.80     867.00 2014-10-18 11:15:53  "
+       "1141       56.63    1415.75 2014-10-01 10:56:32  \n",
+       "1142       45.17    1716.46 2014-10-01 16:17:24  \n",
+       "1143       68.68     412.08 2014-10-01 22:28:49  \n",
+       "1144       18.80     244.40 2014-10-02 00:31:01  \n",
+       "1145       94.47     850.23 2014-10-02 02:48:26  "
       ]
      },
      "execution_count": 17,
@@ -1510,14 +1632,25 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
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@@ -1623,14 +1756,25 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1740,14 +1884,25 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1856,14 +2011,25 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1965,14 +2131,25 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
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+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -2074,14 +2251,25 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
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+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -2183,14 +2371,25 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "        text-align: right;\n",
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+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -2306,14 +2505,25 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
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+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -2424,14 +2634,25 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -2546,7 +2767,7 @@
     }
    ],
    "source": [
-    "df[(df['sku'].str.contains('B1-531')) & (df['quantity']>40)].sort(columns=['quantity','name'],ascending=[0,1])"
+    "df[(df['sku'].str.contains('B1-531')) & (df['quantity']>40)].sort_values(by=['quantity','name'],ascending=[0,1])"
    ]
   },
   {
@@ -2566,20 +2787,18 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([u'Barton LLC', u'Trantow-Barrows', u'Kulas Inc',\n",
-       "       u'Kassulke, Ondricka and Metz', u'Jerde-Hilpert', u'Koepp Ltd',\n",
-       "       u'Fritsch, Russel and Anderson', u'Kiehn-Spinka', u'Keeling LLC',\n",
-       "       u'Frami, Hills and Schmidt', u'Stokes LLC', u'Kuhn-Gusikowski',\n",
-       "       u'Herman LLC', u'White-Trantow', u'Sanford and Sons',\n",
-       "       u'Pollich LLC', u'Will LLC', u'Cronin, Oberbrunner and Spencer',\n",
-       "       u'Halvorson, Crona and Champlin', u'Purdy-Kunde'], dtype=object)"
+       "array(['Barton LLC', 'Trantow-Barrows', 'Kulas Inc',\n",
+       "       'Kassulke, Ondricka and Metz', 'Jerde-Hilpert', 'Koepp Ltd',\n",
+       "       'Fritsch, Russel and Anderson', 'Kiehn-Spinka', 'Keeling LLC',\n",
+       "       'Frami, Hills and Schmidt', 'Stokes LLC', 'Kuhn-Gusikowski',\n",
+       "       'Herman LLC', 'White-Trantow', 'Sanford and Sons', 'Pollich LLC',\n",
+       "       'Will LLC', 'Cronin, Oberbrunner and Spencer',\n",
+       "       'Halvorson, Crona and Champlin', 'Purdy-Kunde'], dtype=object)"
       ]
      },
      "execution_count": 27,
@@ -2601,14 +2820,25 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -2712,14 +2942,25 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -2863,7 +3104,7 @@
     }
    ],
    "source": [
-    "df.drop_duplicates(subset=[\"account number\",\"name\"]).ix[:,[0,1]]"
+    "df.drop_duplicates(subset=[\"account number\",\"name\"]).iloc[:,[0,1]]"
    ]
   },
   {
@@ -2876,32 +3117,30 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/notebooks/Crosstab_Explained.ipynb b/notebooks/Crosstab_Explained.ipynb
new file mode 100644
index 0000000..89e49c6
--- /dev/null
+++ b/notebooks/Crosstab_Explained.ipynb
@@ -0,0 +1,3508 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Pandas Crosstab Explained\n",
+    "\n",
+    "Notebook that accompanies [article](http://pbpython.com/pandas-crosstab.html) on Practical Business Python"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Import the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define the headers since the data does not have any\n",
+    "headers = [\"symboling\", \"normalized_losses\", \"make\", \"fuel_type\", \"aspiration\",\n",
+    "           \"num_doors\", \"body_style\", \"drive_wheels\", \"engine_location\",\n",
+    "           \"wheel_base\", \"length\", \"width\", \"height\", \"curb_weight\",\n",
+    "           \"engine_type\", \"num_cylinders\", \"engine_size\", \"fuel_system\",\n",
+    "           \"bore\", \"stroke\", \"compression_ratio\", \"horsepower\", \"peak_rpm\",\n",
+    "           \"city_mpg\", \"highway_mpg\", \"price\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>symboling</th>\n",
+       "      <th>normalized_losses</th>\n",
+       "      <th>make</th>\n",
+       "      <th>fuel_type</th>\n",
+       "      <th>aspiration</th>\n",
+       "      <th>num_doors</th>\n",
+       "      <th>body_style</th>\n",
+       "      <th>drive_wheels</th>\n",
+       "      <th>engine_location</th>\n",
+       "      <th>wheel_base</th>\n",
+       "      <th>...</th>\n",
+       "      <th>engine_size</th>\n",
+       "      <th>fuel_system</th>\n",
+       "      <th>bore</th>\n",
+       "      <th>stroke</th>\n",
+       "      <th>compression_ratio</th>\n",
+       "      <th>horsepower</th>\n",
+       "      <th>peak_rpm</th>\n",
+       "      <th>city_mpg</th>\n",
+       "      <th>highway_mpg</th>\n",
+       "      <th>price</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>alfa-romero</td>\n",
+       "      <td>gas</td>\n",
+       "      <td>std</td>\n",
+       "      <td>two</td>\n",
+       "      <td>convertible</td>\n",
+       "      <td>rwd</td>\n",
+       "      <td>front</td>\n",
+       "      <td>88.6</td>\n",
+       "      <td>...</td>\n",
+       "      <td>130</td>\n",
+       "      <td>mpfi</td>\n",
+       "      <td>3.47</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>111.0</td>\n",
+       "      <td>5000.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>27</td>\n",
+       "      <td>13495.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>alfa-romero</td>\n",
+       "      <td>gas</td>\n",
+       "      <td>std</td>\n",
+       "      <td>two</td>\n",
+       "      <td>convertible</td>\n",
+       "      <td>rwd</td>\n",
+       "      <td>front</td>\n",
+       "      <td>88.6</td>\n",
+       "      <td>...</td>\n",
+       "      <td>130</td>\n",
+       "      <td>mpfi</td>\n",
+       "      <td>3.47</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>111.0</td>\n",
+       "      <td>5000.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>27</td>\n",
+       "      <td>16500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>alfa-romero</td>\n",
+       "      <td>gas</td>\n",
+       "      <td>std</td>\n",
+       "      <td>two</td>\n",
+       "      <td>hatchback</td>\n",
+       "      <td>rwd</td>\n",
+       "      <td>front</td>\n",
+       "      <td>94.5</td>\n",
+       "      <td>...</td>\n",
+       "      <td>152</td>\n",
+       "      <td>mpfi</td>\n",
+       "      <td>2.68</td>\n",
+       "      <td>3.47</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>154.0</td>\n",
+       "      <td>5000.0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>26</td>\n",
+       "      <td>16500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2</td>\n",
+       "      <td>164.0</td>\n",
+       "      <td>audi</td>\n",
+       "      <td>gas</td>\n",
+       "      <td>std</td>\n",
+       "      <td>four</td>\n",
+       "      <td>sedan</td>\n",
+       "      <td>fwd</td>\n",
+       "      <td>front</td>\n",
+       "      <td>99.8</td>\n",
+       "      <td>...</td>\n",
+       "      <td>109</td>\n",
+       "      <td>mpfi</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>5500.0</td>\n",
+       "      <td>24</td>\n",
+       "      <td>30</td>\n",
+       "      <td>13950.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2</td>\n",
+       "      <td>164.0</td>\n",
+       "      <td>audi</td>\n",
+       "      <td>gas</td>\n",
+       "      <td>std</td>\n",
+       "      <td>four</td>\n",
+       "      <td>sedan</td>\n",
+       "      <td>4wd</td>\n",
+       "      <td>front</td>\n",
+       "      <td>99.4</td>\n",
+       "      <td>...</td>\n",
+       "      <td>136</td>\n",
+       "      <td>mpfi</td>\n",
+       "      <td>3.19</td>\n",
+       "      <td>3.40</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>115.0</td>\n",
+       "      <td>5500.0</td>\n",
+       "      <td>18</td>\n",
+       "      <td>22</td>\n",
+       "      <td>17450.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 26 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   symboling  normalized_losses         make fuel_type aspiration num_doors  \\\n",
+       "0          3                NaN  alfa-romero       gas        std       two   \n",
+       "1          3                NaN  alfa-romero       gas        std       two   \n",
+       "2          1                NaN  alfa-romero       gas        std       two   \n",
+       "3          2              164.0         audi       gas        std      four   \n",
+       "4          2              164.0         audi       gas        std      four   \n",
+       "\n",
+       "    body_style drive_wheels engine_location  wheel_base   ...     engine_size  \\\n",
+       "0  convertible          rwd           front        88.6   ...             130   \n",
+       "1  convertible          rwd           front        88.6   ...             130   \n",
+       "2    hatchback          rwd           front        94.5   ...             152   \n",
+       "3        sedan          fwd           front        99.8   ...             109   \n",
+       "4        sedan          4wd           front        99.4   ...             136   \n",
+       "\n",
+       "   fuel_system  bore  stroke compression_ratio horsepower  peak_rpm city_mpg  \\\n",
+       "0         mpfi  3.47    2.68               9.0      111.0    5000.0       21   \n",
+       "1         mpfi  3.47    2.68               9.0      111.0    5000.0       21   \n",
+       "2         mpfi  2.68    3.47               9.0      154.0    5000.0       19   \n",
+       "3         mpfi  3.19    3.40              10.0      102.0    5500.0       24   \n",
+       "4         mpfi  3.19    3.40               8.0      115.0    5500.0       18   \n",
+       "\n",
+       "   highway_mpg    price  \n",
+       "0           27  13495.0  \n",
+       "1           27  16500.0  \n",
+       "2           26  16500.0  \n",
+       "3           30  13950.0  \n",
+       "4           22  17450.0  \n",
+       "\n",
+       "[5 rows x 26 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Read in the CSV file and convert \"?\" to NaN\n",
+    "df_raw = pd.read_csv(\"http://mlr.cs.umass.edu/ml/machine-learning-databases/autos/imports-85.data\",\n",
+    "                  header=None, names=headers, na_values=\"?\" )\n",
+    "df_raw.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>symboling</th>\n",
+       "      <th>normalized_losses</th>\n",
+       "      <th>wheel_base</th>\n",
+       "      <th>length</th>\n",
+       "      <th>width</th>\n",
+       "      <th>height</th>\n",
+       "      <th>curb_weight</th>\n",
+       "      <th>engine_size</th>\n",
+       "      <th>bore</th>\n",
+       "      <th>stroke</th>\n",
+       "      <th>compression_ratio</th>\n",
+       "      <th>horsepower</th>\n",
+       "      <th>peak_rpm</th>\n",
+       "      <th>city_mpg</th>\n",
+       "      <th>highway_mpg</th>\n",
+       "      <th>price</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>205.000000</td>\n",
+       "      <td>164.000000</td>\n",
+       "      <td>205.000000</td>\n",
+       "      <td>205.000000</td>\n",
+       "      <td>205.000000</td>\n",
+       "      <td>205.000000</td>\n",
+       "      <td>205.000000</td>\n",
+       "      <td>205.000000</td>\n",
+       "      <td>201.000000</td>\n",
+       "      <td>201.000000</td>\n",
+       "      <td>205.000000</td>\n",
+       "      <td>203.000000</td>\n",
+       "      <td>203.000000</td>\n",
+       "      <td>205.000000</td>\n",
+       "      <td>205.000000</td>\n",
+       "      <td>201.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>0.834146</td>\n",
+       "      <td>122.000000</td>\n",
+       "      <td>98.756585</td>\n",
+       "      <td>174.049268</td>\n",
+       "      <td>65.907805</td>\n",
+       "      <td>53.724878</td>\n",
+       "      <td>2555.565854</td>\n",
+       "      <td>126.907317</td>\n",
+       "      <td>3.329751</td>\n",
+       "      <td>3.255423</td>\n",
+       "      <td>10.142537</td>\n",
+       "      <td>104.256158</td>\n",
+       "      <td>5125.369458</td>\n",
+       "      <td>25.219512</td>\n",
+       "      <td>30.751220</td>\n",
+       "      <td>13207.129353</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>1.245307</td>\n",
+       "      <td>35.442168</td>\n",
+       "      <td>6.021776</td>\n",
+       "      <td>12.337289</td>\n",
+       "      <td>2.145204</td>\n",
+       "      <td>2.443522</td>\n",
+       "      <td>520.680204</td>\n",
+       "      <td>41.642693</td>\n",
+       "      <td>0.273539</td>\n",
+       "      <td>0.316717</td>\n",
+       "      <td>3.972040</td>\n",
+       "      <td>39.714369</td>\n",
+       "      <td>479.334560</td>\n",
+       "      <td>6.542142</td>\n",
+       "      <td>6.886443</td>\n",
+       "      <td>7947.066342</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>-2.000000</td>\n",
+       "      <td>65.000000</td>\n",
+       "      <td>86.600000</td>\n",
+       "      <td>141.100000</td>\n",
+       "      <td>60.300000</td>\n",
+       "      <td>47.800000</td>\n",
+       "      <td>1488.000000</td>\n",
+       "      <td>61.000000</td>\n",
+       "      <td>2.540000</td>\n",
+       "      <td>2.070000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>48.000000</td>\n",
+       "      <td>4150.000000</td>\n",
+       "      <td>13.000000</td>\n",
+       "      <td>16.000000</td>\n",
+       "      <td>5118.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>94.000000</td>\n",
+       "      <td>94.500000</td>\n",
+       "      <td>166.300000</td>\n",
+       "      <td>64.100000</td>\n",
+       "      <td>52.000000</td>\n",
+       "      <td>2145.000000</td>\n",
+       "      <td>97.000000</td>\n",
+       "      <td>3.150000</td>\n",
+       "      <td>3.110000</td>\n",
+       "      <td>8.600000</td>\n",
+       "      <td>70.000000</td>\n",
+       "      <td>4800.000000</td>\n",
+       "      <td>19.000000</td>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>7775.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>115.000000</td>\n",
+       "      <td>97.000000</td>\n",
+       "      <td>173.200000</td>\n",
+       "      <td>65.500000</td>\n",
+       "      <td>54.100000</td>\n",
+       "      <td>2414.000000</td>\n",
+       "      <td>120.000000</td>\n",
+       "      <td>3.310000</td>\n",
+       "      <td>3.290000</td>\n",
+       "      <td>9.000000</td>\n",
+       "      <td>95.000000</td>\n",
+       "      <td>5200.000000</td>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>30.000000</td>\n",
+       "      <td>10295.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>150.000000</td>\n",
+       "      <td>102.400000</td>\n",
+       "      <td>183.100000</td>\n",
+       "      <td>66.900000</td>\n",
+       "      <td>55.500000</td>\n",
+       "      <td>2935.000000</td>\n",
+       "      <td>141.000000</td>\n",
+       "      <td>3.590000</td>\n",
+       "      <td>3.410000</td>\n",
+       "      <td>9.400000</td>\n",
+       "      <td>116.000000</td>\n",
+       "      <td>5500.000000</td>\n",
+       "      <td>30.000000</td>\n",
+       "      <td>34.000000</td>\n",
+       "      <td>16500.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>256.000000</td>\n",
+       "      <td>120.900000</td>\n",
+       "      <td>208.100000</td>\n",
+       "      <td>72.300000</td>\n",
+       "      <td>59.800000</td>\n",
+       "      <td>4066.000000</td>\n",
+       "      <td>326.000000</td>\n",
+       "      <td>3.940000</td>\n",
+       "      <td>4.170000</td>\n",
+       "      <td>23.000000</td>\n",
+       "      <td>288.000000</td>\n",
+       "      <td>6600.000000</td>\n",
+       "      <td>49.000000</td>\n",
+       "      <td>54.000000</td>\n",
+       "      <td>45400.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        symboling  normalized_losses  wheel_base      length       width  \\\n",
+       "count  205.000000         164.000000  205.000000  205.000000  205.000000   \n",
+       "mean     0.834146         122.000000   98.756585  174.049268   65.907805   \n",
+       "std      1.245307          35.442168    6.021776   12.337289    2.145204   \n",
+       "min     -2.000000          65.000000   86.600000  141.100000   60.300000   \n",
+       "25%      0.000000          94.000000   94.500000  166.300000   64.100000   \n",
+       "50%      1.000000         115.000000   97.000000  173.200000   65.500000   \n",
+       "75%      2.000000         150.000000  102.400000  183.100000   66.900000   \n",
+       "max      3.000000         256.000000  120.900000  208.100000   72.300000   \n",
+       "\n",
+       "           height  curb_weight  engine_size        bore      stroke  \\\n",
+       "count  205.000000   205.000000   205.000000  201.000000  201.000000   \n",
+       "mean    53.724878  2555.565854   126.907317    3.329751    3.255423   \n",
+       "std      2.443522   520.680204    41.642693    0.273539    0.316717   \n",
+       "min     47.800000  1488.000000    61.000000    2.540000    2.070000   \n",
+       "25%     52.000000  2145.000000    97.000000    3.150000    3.110000   \n",
+       "50%     54.100000  2414.000000   120.000000    3.310000    3.290000   \n",
+       "75%     55.500000  2935.000000   141.000000    3.590000    3.410000   \n",
+       "max     59.800000  4066.000000   326.000000    3.940000    4.170000   \n",
+       "\n",
+       "       compression_ratio  horsepower     peak_rpm    city_mpg  highway_mpg  \\\n",
+       "count         205.000000  203.000000   203.000000  205.000000   205.000000   \n",
+       "mean           10.142537  104.256158  5125.369458   25.219512    30.751220   \n",
+       "std             3.972040   39.714369   479.334560    6.542142     6.886443   \n",
+       "min             7.000000   48.000000  4150.000000   13.000000    16.000000   \n",
+       "25%             8.600000   70.000000  4800.000000   19.000000    25.000000   \n",
+       "50%             9.000000   95.000000  5200.000000   24.000000    30.000000   \n",
+       "75%             9.400000  116.000000  5500.000000   30.000000    34.000000   \n",
+       "max            23.000000  288.000000  6600.000000   49.000000    54.000000   \n",
+       "\n",
+       "              price  \n",
+       "count    201.000000  \n",
+       "mean   13207.129353  \n",
+       "std     7947.066342  \n",
+       "min     5118.000000  \n",
+       "25%     7775.000000  \n",
+       "50%    10295.000000  \n",
+       "75%    16500.000000  \n",
+       "max    45400.000000  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Take a quick look at all the values in the data\n",
+    "df_raw.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter out the top 8 manufacturers\n",
+    "models = [\"toyota\",\"nissan\",\"mazda\", \"honda\", \"mitsubishi\", \"subaru\", \"volkswagen\", \"volvo\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df_raw[df_raw.make.isin(models)].copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>symboling</th>\n",
+       "      <th>normalized_losses</th>\n",
+       "      <th>make</th>\n",
+       "      <th>fuel_type</th>\n",
+       "      <th>aspiration</th>\n",
+       "      <th>num_doors</th>\n",
+       "      <th>body_style</th>\n",
+       "      <th>drive_wheels</th>\n",
+       "      <th>engine_location</th>\n",
+       "      <th>wheel_base</th>\n",
+       "      <th>...</th>\n",
+       "      <th>engine_size</th>\n",
+       "      <th>fuel_system</th>\n",
+       "      <th>bore</th>\n",
+       "      <th>stroke</th>\n",
+       "      <th>compression_ratio</th>\n",
+       "      <th>horsepower</th>\n",
+       "      <th>peak_rpm</th>\n",
+       "      <th>city_mpg</th>\n",
+       "      <th>highway_mpg</th>\n",
+       "      <th>price</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>2</td>\n",
+       "      <td>137.0</td>\n",
+       "      <td>honda</td>\n",
+       "      <td>gas</td>\n",
+       "      <td>std</td>\n",
+       "      <td>two</td>\n",
+       "      <td>hatchback</td>\n",
+       "      <td>fwd</td>\n",
+       "      <td>front</td>\n",
+       "      <td>86.6</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92</td>\n",
+       "      <td>1bbl</td>\n",
+       "      <td>2.91</td>\n",
+       "      <td>3.41</td>\n",
+       "      <td>9.6</td>\n",
+       "      <td>58.0</td>\n",
+       "      <td>4800.0</td>\n",
+       "      <td>49</td>\n",
+       "      <td>54</td>\n",
+       "      <td>6479.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>2</td>\n",
+       "      <td>137.0</td>\n",
+       "      <td>honda</td>\n",
+       "      <td>gas</td>\n",
+       "      <td>std</td>\n",
+       "      <td>two</td>\n",
+       "      <td>hatchback</td>\n",
+       "      <td>fwd</td>\n",
+       "      <td>front</td>\n",
+       "      <td>86.6</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92</td>\n",
+       "      <td>1bbl</td>\n",
+       "      <td>2.91</td>\n",
+       "      <td>3.41</td>\n",
+       "      <td>9.2</td>\n",
+       "      <td>76.0</td>\n",
+       "      <td>6000.0</td>\n",
+       "      <td>31</td>\n",
+       "      <td>38</td>\n",
+       "      <td>6855.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>1</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>honda</td>\n",
+       "      <td>gas</td>\n",
+       "      <td>std</td>\n",
+       "      <td>two</td>\n",
+       "      <td>hatchback</td>\n",
+       "      <td>fwd</td>\n",
+       "      <td>front</td>\n",
+       "      <td>93.7</td>\n",
+       "      <td>...</td>\n",
+       "      <td>79</td>\n",
+       "      <td>1bbl</td>\n",
+       "      <td>2.91</td>\n",
+       "      <td>3.07</td>\n",
+       "      <td>10.1</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>5500.0</td>\n",
+       "      <td>38</td>\n",
+       "      <td>42</td>\n",
+       "      <td>5399.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>1</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>honda</td>\n",
+       "      <td>gas</td>\n",
+       "      <td>std</td>\n",
+       "      <td>two</td>\n",
+       "      <td>hatchback</td>\n",
+       "      <td>fwd</td>\n",
+       "      <td>front</td>\n",
+       "      <td>93.7</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92</td>\n",
+       "      <td>1bbl</td>\n",
+       "      <td>2.91</td>\n",
+       "      <td>3.41</td>\n",
+       "      <td>9.2</td>\n",
+       "      <td>76.0</td>\n",
+       "      <td>6000.0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>34</td>\n",
+       "      <td>6529.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>1</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>honda</td>\n",
+       "      <td>gas</td>\n",
+       "      <td>std</td>\n",
+       "      <td>two</td>\n",
+       "      <td>hatchback</td>\n",
+       "      <td>fwd</td>\n",
+       "      <td>front</td>\n",
+       "      <td>93.7</td>\n",
+       "      <td>...</td>\n",
+       "      <td>92</td>\n",
+       "      <td>1bbl</td>\n",
+       "      <td>2.91</td>\n",
+       "      <td>3.41</td>\n",
+       "      <td>9.2</td>\n",
+       "      <td>76.0</td>\n",
+       "      <td>6000.0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>34</td>\n",
+       "      <td>7129.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 26 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    symboling  normalized_losses   make fuel_type aspiration num_doors  \\\n",
+       "30          2              137.0  honda       gas        std       two   \n",
+       "31          2              137.0  honda       gas        std       two   \n",
+       "32          1              101.0  honda       gas        std       two   \n",
+       "33          1              101.0  honda       gas        std       two   \n",
+       "34          1              101.0  honda       gas        std       two   \n",
+       "\n",
+       "   body_style drive_wheels engine_location  wheel_base   ...    engine_size  \\\n",
+       "30  hatchback          fwd           front        86.6   ...             92   \n",
+       "31  hatchback          fwd           front        86.6   ...             92   \n",
+       "32  hatchback          fwd           front        93.7   ...             79   \n",
+       "33  hatchback          fwd           front        93.7   ...             92   \n",
+       "34  hatchback          fwd           front        93.7   ...             92   \n",
+       "\n",
+       "    fuel_system  bore  stroke compression_ratio horsepower  peak_rpm city_mpg  \\\n",
+       "30         1bbl  2.91    3.41               9.6       58.0    4800.0       49   \n",
+       "31         1bbl  2.91    3.41               9.2       76.0    6000.0       31   \n",
+       "32         1bbl  2.91    3.07              10.1       60.0    5500.0       38   \n",
+       "33         1bbl  2.91    3.41               9.2       76.0    6000.0       30   \n",
+       "34         1bbl  2.91    3.41               9.2       76.0    6000.0       30   \n",
+       "\n",
+       "    highway_mpg   price  \n",
+       "30           54  6479.0  \n",
+       "31           38  6855.0  \n",
+       "32           42  5399.0  \n",
+       "33           34  6529.0  \n",
+       "34           34  7129.0  \n",
+       "\n",
+       "[5 rows x 26 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### Basic Crosstab functions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>num_doors</th>\n",
+       "      <th>four</th>\n",
+       "      <th>two</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>7</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>4</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>9</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>18</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>8</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "num_doors   four  two\n",
+       "make                 \n",
+       "honda          5    8\n",
+       "mazda          7    9\n",
+       "mitsubishi     4    9\n",
+       "nissan         9    9\n",
+       "subaru         9    3\n",
+       "toyota        18   14\n",
+       "volkswagen     8    4\n",
+       "volvo         11    0"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create a simple crosstab that counts the number of occurences of each combination\n",
+    "pd.crosstab(df.make, df.num_doors)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>num_doors</th>\n",
+       "      <th>four</th>\n",
+       "      <th>two</th>\n",
+       "      <th>Total</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>7</td>\n",
+       "      <td>9</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>4</td>\n",
+       "      <td>9</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>9</td>\n",
+       "      <td>9</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>18</td>\n",
+       "      <td>14</td>\n",
+       "      <td>32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>8</td>\n",
+       "      <td>4</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Total</th>\n",
+       "      <td>71</td>\n",
+       "      <td>56</td>\n",
+       "      <td>127</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "num_doors   four  two  Total\n",
+       "make                        \n",
+       "honda          5    8     13\n",
+       "mazda          7    9     16\n",
+       "mitsubishi     4    9     13\n",
+       "nissan         9    9     18\n",
+       "subaru         9    3     12\n",
+       "toyota        18   14     32\n",
+       "volkswagen     8    4     12\n",
+       "volvo         11    0     11\n",
+       "Total         71   56    127"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Add a subtotal\n",
+    "pd.crosstab(df.make, df.num_doors, margins=True, margins_name=\"Total\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>body_style</th>\n",
+       "      <th>convertible</th>\n",
+       "      <th>hardtop</th>\n",
+       "      <th>hatchback</th>\n",
+       "      <th>sedan</th>\n",
+       "      <th>wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "body_style  convertible  hardtop  hatchback  sedan  wagon\n",
+       "make                                                     \n",
+       "honda                 0        0          7      5      1\n",
+       "mazda                 0        0         10      7      0\n",
+       "mitsubishi            0        0          9      4      0\n",
+       "nissan                0        1          5      9      3\n",
+       "subaru                0        0          3      5      4\n",
+       "toyota                1        3         14     10      4\n",
+       "volkswagen            1        0          1      9      1\n",
+       "volvo                 0        0          0      8      3"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Another example, this time of make and body_style\n",
+    "pd.crosstab(df.make, df.body_style)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>Body Style</th>\n",
+       "      <th>convertible</th>\n",
+       "      <th>hardtop</th>\n",
+       "      <th>hatchback</th>\n",
+       "      <th>sedan</th>\n",
+       "      <th>wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Auto Manufacturer</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Body Style         convertible  hardtop  hatchback  sedan  wagon\n",
+       "Auto Manufacturer                                               \n",
+       "honda                        0        0          7      5      1\n",
+       "mazda                        0        0         10      7      0\n",
+       "mitsubishi                   0        0          9      4      0\n",
+       "nissan                       0        1          5      9      3\n",
+       "subaru                       0        0          3      5      4\n",
+       "toyota                       1        3         14     10      4\n",
+       "volkswagen                   1        0          1      9      1\n",
+       "volvo                        0        0          0      8      3"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Add custom names for the rows and columns?\n",
+    "pd.crosstab(df.make, df.body_style, rownames=['Auto Manufacturer'], colnames=['Body Style'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Normalizing Results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>body_style</th>\n",
+       "      <th>convertible</th>\n",
+       "      <th>hardtop</th>\n",
+       "      <th>hatchback</th>\n",
+       "      <th>sedan</th>\n",
+       "      <th>wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.054688</td>\n",
+       "      <td>0.039062</td>\n",
+       "      <td>0.007812</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.078125</td>\n",
+       "      <td>0.054688</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.070312</td>\n",
+       "      <td>0.031250</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.007812</td>\n",
+       "      <td>0.039062</td>\n",
+       "      <td>0.070312</td>\n",
+       "      <td>0.023438</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.023438</td>\n",
+       "      <td>0.039062</td>\n",
+       "      <td>0.031250</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>0.007812</td>\n",
+       "      <td>0.023438</td>\n",
+       "      <td>0.109375</td>\n",
+       "      <td>0.078125</td>\n",
+       "      <td>0.031250</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>0.007812</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.007812</td>\n",
+       "      <td>0.070312</td>\n",
+       "      <td>0.007812</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.062500</td>\n",
+       "      <td>0.023438</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "body_style  convertible   hardtop  hatchback     sedan     wagon\n",
+       "make                                                            \n",
+       "honda          0.000000  0.000000   0.054688  0.039062  0.007812\n",
+       "mazda          0.000000  0.000000   0.078125  0.054688  0.000000\n",
+       "mitsubishi     0.000000  0.000000   0.070312  0.031250  0.000000\n",
+       "nissan         0.000000  0.007812   0.039062  0.070312  0.023438\n",
+       "subaru         0.000000  0.000000   0.023438  0.039062  0.031250\n",
+       "toyota         0.007812  0.023438   0.109375  0.078125  0.031250\n",
+       "volkswagen     0.007812  0.000000   0.007812  0.070312  0.007812\n",
+       "volvo          0.000000  0.000000   0.000000  0.062500  0.023438"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Convert the occurrences to percentages\n",
+    "pd.crosstab(df.make, df.body_style, normalize=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>body_style</th>\n",
+       "      <th>convertible</th>\n",
+       "      <th>hardtop</th>\n",
+       "      <th>hatchback</th>\n",
+       "      <th>sedan</th>\n",
+       "      <th>wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.538462</td>\n",
+       "      <td>0.384615</td>\n",
+       "      <td>0.076923</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.588235</td>\n",
+       "      <td>0.411765</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>0.307692</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.055556</td>\n",
+       "      <td>0.277778</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.166667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.250000</td>\n",
+       "      <td>0.416667</td>\n",
+       "      <td>0.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>0.031250</td>\n",
+       "      <td>0.093750</td>\n",
+       "      <td>0.437500</td>\n",
+       "      <td>0.312500</td>\n",
+       "      <td>0.125000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>0.083333</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.083333</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>0.083333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.727273</td>\n",
+       "      <td>0.272727</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "body_style  convertible   hardtop  hatchback     sedan     wagon\n",
+       "make                                                            \n",
+       "honda          0.000000  0.000000   0.538462  0.384615  0.076923\n",
+       "mazda          0.000000  0.000000   0.588235  0.411765  0.000000\n",
+       "mitsubishi     0.000000  0.000000   0.692308  0.307692  0.000000\n",
+       "nissan         0.000000  0.055556   0.277778  0.500000  0.166667\n",
+       "subaru         0.000000  0.000000   0.250000  0.416667  0.333333\n",
+       "toyota         0.031250  0.093750   0.437500  0.312500  0.125000\n",
+       "volkswagen     0.083333  0.000000   0.083333  0.750000  0.083333\n",
+       "volvo          0.000000  0.000000   0.000000  0.727273  0.272727"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Convert the occurrences to percentages for each row\n",
+    "pd.crosstab(df.make, df.body_style, normalize='index')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>body_style</th>\n",
+       "      <th>convertible</th>\n",
+       "      <th>hardtop</th>\n",
+       "      <th>hatchback</th>\n",
+       "      <th>sedan</th>\n",
+       "      <th>wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.142857</td>\n",
+       "      <td>0.087719</td>\n",
+       "      <td>0.0625</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.204082</td>\n",
+       "      <td>0.122807</td>\n",
+       "      <td>0.0000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.183673</td>\n",
+       "      <td>0.070175</td>\n",
+       "      <td>0.0000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>0.102041</td>\n",
+       "      <td>0.157895</td>\n",
+       "      <td>0.1875</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.061224</td>\n",
+       "      <td>0.087719</td>\n",
+       "      <td>0.2500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>0.285714</td>\n",
+       "      <td>0.175439</td>\n",
+       "      <td>0.2500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.020408</td>\n",
+       "      <td>0.157895</td>\n",
+       "      <td>0.0625</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.140351</td>\n",
+       "      <td>0.1875</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "body_style  convertible  hardtop  hatchback     sedan   wagon\n",
+       "make                                                         \n",
+       "honda               0.0     0.00   0.142857  0.087719  0.0625\n",
+       "mazda               0.0     0.00   0.204082  0.122807  0.0000\n",
+       "mitsubishi          0.0     0.00   0.183673  0.070175  0.0000\n",
+       "nissan              0.0     0.25   0.102041  0.157895  0.1875\n",
+       "subaru              0.0     0.00   0.061224  0.087719  0.2500\n",
+       "toyota              0.5     0.75   0.285714  0.175439  0.2500\n",
+       "volkswagen          0.5     0.00   0.020408  0.157895  0.0625\n",
+       "volvo               0.0     0.00   0.000000  0.140351  0.1875"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Convert the occurrences to percentages for each column\n",
+    "pd.crosstab(df.make, df.body_style, normalize='columns')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>body_style</th>\n",
+       "      <th>convertible</th>\n",
+       "      <th>hardtop</th>\n",
+       "      <th>hatchback</th>\n",
+       "      <th>sedan</th>\n",
+       "      <th>wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>19.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>50.0</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>50.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>19.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "body_style  convertible  hardtop  hatchback  sedan  wagon\n",
+       "make                                                     \n",
+       "honda               0.0      0.0       14.0    9.0    6.0\n",
+       "mazda               0.0      0.0       20.0   12.0    0.0\n",
+       "mitsubishi          0.0      0.0       18.0    7.0    0.0\n",
+       "nissan              0.0     25.0       10.0   16.0   19.0\n",
+       "subaru              0.0      0.0        6.0    9.0   25.0\n",
+       "toyota             50.0     75.0       29.0   18.0   25.0\n",
+       "volkswagen         50.0      0.0        2.0   16.0    6.0\n",
+       "volvo               0.0      0.0        0.0   14.0   19.0"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# If you want to make the percentages a little easier to see, multiple all values by 100\n",
+    "pd.crosstab(df.make, df.body_style, normalize='columns').mul(100).round(0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Custom Aggregations and Grouping"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>body_style</th>\n",
+       "      <th>convertible</th>\n",
+       "      <th>hardtop</th>\n",
+       "      <th>hatchback</th>\n",
+       "      <th>sedan</th>\n",
+       "      <th>wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1970.0</td>\n",
+       "      <td>2289.0</td>\n",
+       "      <td>2024.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2254.0</td>\n",
+       "      <td>2361.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2377.0</td>\n",
+       "      <td>2394.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2008.0</td>\n",
+       "      <td>2740.0</td>\n",
+       "      <td>2238.0</td>\n",
+       "      <td>2452.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2137.0</td>\n",
+       "      <td>2314.0</td>\n",
+       "      <td>2454.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>2975.0</td>\n",
+       "      <td>2585.0</td>\n",
+       "      <td>2370.0</td>\n",
+       "      <td>2338.0</td>\n",
+       "      <td>2708.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>2254.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2221.0</td>\n",
+       "      <td>2342.0</td>\n",
+       "      <td>2563.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3023.0</td>\n",
+       "      <td>3078.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "body_style  convertible  hardtop  hatchback   sedan   wagon\n",
+       "make                                                       \n",
+       "honda               NaN      NaN     1970.0  2289.0  2024.0\n",
+       "mazda               NaN      NaN     2254.0  2361.0     NaN\n",
+       "mitsubishi          NaN      NaN     2377.0  2394.0     NaN\n",
+       "nissan              NaN   2008.0     2740.0  2238.0  2452.0\n",
+       "subaru              NaN      NaN     2137.0  2314.0  2454.0\n",
+       "toyota           2975.0   2585.0     2370.0  2338.0  2708.0\n",
+       "volkswagen       2254.0      NaN     2221.0  2342.0  2563.0\n",
+       "volvo               NaN      NaN        NaN  3023.0  3078.0"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Perform aggregation functions - not just a simple count\n",
+    "pd.crosstab(df.make, df.body_style, values=df.curb_weight, aggfunc='mean').round(0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th>body_style</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">convertible</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">hardtop</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">hatchback</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">sedan</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>drive_wheels</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>1970</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2288.8</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2024</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2148.33</td>\n",
+       "      <td>2411.25</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2231.6</td>\n",
+       "      <td>2685</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2376.56</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2394</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2008</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2176</td>\n",
+       "      <td>3116.33</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2237.89</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2452.33</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2240</td>\n",
+       "      <td>2085</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2447.5</td>\n",
+       "      <td>2225</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2535</td>\n",
+       "      <td>2372.5</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>-</td>\n",
+       "      <td>2975</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2585</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2177.25</td>\n",
+       "      <td>2626.83</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2258.57</td>\n",
+       "      <td>2521.67</td>\n",
+       "      <td>2700</td>\n",
+       "      <td>2280</td>\n",
+       "      <td>3151</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>2254</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2221</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2342.22</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2563</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>3023</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>3077.67</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "body_style   convertible       hardtop       hatchback                    \\\n",
+       "drive_wheels         fwd   rwd     fwd   rwd       4wd      fwd      rwd   \n",
+       "make                                                                       \n",
+       "honda                  -     -       -     -         -     1970        -   \n",
+       "mazda                  -     -       -     -         -  2148.33  2411.25   \n",
+       "mitsubishi             -     -       -     -         -  2376.56        -   \n",
+       "nissan                 -     -    2008     -         -     2176  3116.33   \n",
+       "subaru                 -     -       -     -      2240     2085        -   \n",
+       "toyota                 -  2975       -  2585         -  2177.25  2626.83   \n",
+       "volkswagen          2254     -       -     -         -     2221        -   \n",
+       "volvo                  -     -       -     -         -        -        -   \n",
+       "\n",
+       "body_style     sedan                   wagon                    \n",
+       "drive_wheels     4wd      fwd      rwd   4wd      fwd      rwd  \n",
+       "make                                                            \n",
+       "honda              -   2288.8        -     -     2024        -  \n",
+       "mazda              -   2231.6     2685     -        -        -  \n",
+       "mitsubishi         -     2394        -     -        -        -  \n",
+       "nissan             -  2237.89        -     -  2452.33        -  \n",
+       "subaru        2447.5     2225        -  2535   2372.5        -  \n",
+       "toyota             -  2258.57  2521.67  2700     2280     3151  \n",
+       "volkswagen         -  2342.22        -     -     2563        -  \n",
+       "volvo              -        -     3023     -        -  3077.67  "
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.crosstab(df.make, [df.body_style, df.drive_wheels], values=df.curb_weight, aggfunc='mean').fillna('-')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th>body_style</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">convertible</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">hardtop</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">hatchback</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">sedan</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>drive_wheels</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "body_style   convertible     hardtop     hatchback         sedan          \\\n",
+       "drive_wheels         fwd rwd     fwd rwd       4wd fwd rwd   4wd fwd rwd   \n",
+       "make                                                                       \n",
+       "honda                  0   0       0   0         0   7   0     0   5   0   \n",
+       "mazda                  0   0       0   0         0   6   4     0   5   2   \n",
+       "mitsubishi             0   0       0   0         0   9   0     0   4   0   \n",
+       "nissan                 0   0       1   0         0   2   3     0   9   0   \n",
+       "subaru                 0   0       0   0         1   2   0     2   3   0   \n",
+       "toyota                 0   1       0   3         0   8   6     0   7   3   \n",
+       "volkswagen             1   0       0   0         0   1   0     0   9   0   \n",
+       "volvo                  0   0       0   0         0   0   0     0   0   8   \n",
+       "\n",
+       "body_style   wagon          \n",
+       "drive_wheels   4wd fwd rwd  \n",
+       "make                        \n",
+       "honda            0   1   0  \n",
+       "mazda            0   0   0  \n",
+       "mitsubishi       0   0   0  \n",
+       "nissan           0   3   0  \n",
+       "subaru           2   2   0  \n",
+       "toyota           2   1   1  \n",
+       "volkswagen       0   1   0  \n",
+       "volvo            0   0   3  "
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Crosstab supports grouping as well. In this case, group the columns\n",
+    "pd.crosstab(df.make, [df.body_style, df.drive_wheels])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>Body Style</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">convertible</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">hardtop</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">hatchback</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">sedan</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>Drive Type</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Auto Manufacturer</th>\n",
+       "      <th>Doors</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">honda</th>\n",
+       "      <th>four</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>two</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">mazda</th>\n",
+       "      <th>four</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>two</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">mitsubishi</th>\n",
+       "      <th>four</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>two</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">nissan</th>\n",
+       "      <th>four</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>two</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">subaru</th>\n",
+       "      <th>four</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>two</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">toyota</th>\n",
+       "      <th>four</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>two</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">volkswagen</th>\n",
+       "      <th>four</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>two</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">volvo</th>\n",
+       "      <th>four</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>two</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Body Style              convertible         hardtop         hatchback          \\\n",
+       "Drive Type                      4wd fwd rwd     4wd fwd rwd       4wd fwd rwd   \n",
+       "Auto Manufacturer Doors                                                         \n",
+       "honda             four            0   0   0       0   0   0         0   0   0   \n",
+       "                  two             0   0   0       0   0   0         0   7   0   \n",
+       "mazda             four            0   0   0       0   0   0         0   1   0   \n",
+       "                  two             0   0   0       0   0   0         0   5   4   \n",
+       "mitsubishi        four            0   0   0       0   0   0         0   0   0   \n",
+       "                  two             0   0   0       0   0   0         0   9   0   \n",
+       "nissan            four            0   0   0       0   0   0         0   1   0   \n",
+       "                  two             0   0   0       0   1   0         0   1   3   \n",
+       "subaru            four            0   0   0       0   0   0         0   0   0   \n",
+       "                  two             0   0   0       0   0   0         1   2   0   \n",
+       "toyota            four            0   0   0       0   0   0         0   6   0   \n",
+       "                  two             0   0   1       0   0   3         0   2   6   \n",
+       "volkswagen        four            0   0   0       0   0   0         0   0   0   \n",
+       "                  two             0   1   0       0   0   0         0   1   0   \n",
+       "volvo             four            0   0   0       0   0   0         0   0   0   \n",
+       "                  two             0   0   0       0   0   0         0   0   0   \n",
+       "\n",
+       "Body Style              sedan         wagon          \n",
+       "Drive Type                4wd fwd rwd   4wd fwd rwd  \n",
+       "Auto Manufacturer Doors                              \n",
+       "honda             four      0   4   0     0   1   0  \n",
+       "                  two       0   1   0     0   0   0  \n",
+       "mazda             four      0   4   2     0   0   0  \n",
+       "                  two       0   0   0     0   0   0  \n",
+       "mitsubishi        four      0   4   0     0   0   0  \n",
+       "                  two       0   0   0     0   0   0  \n",
+       "nissan            four      0   5   0     0   3   0  \n",
+       "                  two       0   4   0     0   0   0  \n",
+       "subaru            four      2   3   0     2   2   0  \n",
+       "                  two       0   0   0     0   0   0  \n",
+       "toyota            four      0   7   1     2   1   1  \n",
+       "                  two       0   0   2     0   0   0  \n",
+       "volkswagen        four      0   7   0     0   1   0  \n",
+       "                  two       0   2   0     0   0   0  \n",
+       "volvo             four      0   0   8     0   0   3  \n",
+       "                  two       0   0   0     0   0   0  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# A more complex example showing the grouping of rows and columns\n",
+    "pd.crosstab([df.make, df.num_doors], [df.body_style, df.drive_wheels], \n",
+    "            rownames=['Auto Manufacturer', \"Doors\"], \n",
+    "            colnames=['Body Style', \"Drive Type\"], \n",
+    "            dropna=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th>body_style</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">convertible</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">hardtop</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">hatchback</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">sedan</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">wagon</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>drive_wheels</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>1970</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2288.8</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2024</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2148.33</td>\n",
+       "      <td>2411.25</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2231.6</td>\n",
+       "      <td>2685</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2376.56</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2394</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2008</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2176</td>\n",
+       "      <td>3116.33</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2237.89</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2452.33</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2240</td>\n",
+       "      <td>2085</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2447.5</td>\n",
+       "      <td>2225</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2535</td>\n",
+       "      <td>2372.5</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>-</td>\n",
+       "      <td>2975</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2585</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2177.25</td>\n",
+       "      <td>2626.83</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2258.57</td>\n",
+       "      <td>2521.67</td>\n",
+       "      <td>2700</td>\n",
+       "      <td>2280</td>\n",
+       "      <td>3151</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>2254</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2221</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2342.22</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2563</td>\n",
+       "      <td>-</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>3023</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>3077.67</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "body_style   convertible       hardtop       hatchback                    \\\n",
+       "drive_wheels         fwd   rwd     fwd   rwd       4wd      fwd      rwd   \n",
+       "make                                                                       \n",
+       "honda                  -     -       -     -         -     1970        -   \n",
+       "mazda                  -     -       -     -         -  2148.33  2411.25   \n",
+       "mitsubishi             -     -       -     -         -  2376.56        -   \n",
+       "nissan                 -     -    2008     -         -     2176  3116.33   \n",
+       "subaru                 -     -       -     -      2240     2085        -   \n",
+       "toyota                 -  2975       -  2585         -  2177.25  2626.83   \n",
+       "volkswagen          2254     -       -     -         -     2221        -   \n",
+       "volvo                  -     -       -     -         -        -        -   \n",
+       "\n",
+       "body_style     sedan                   wagon                    \n",
+       "drive_wheels     4wd      fwd      rwd   4wd      fwd      rwd  \n",
+       "make                                                            \n",
+       "honda              -   2288.8        -     -     2024        -  \n",
+       "mazda              -   2231.6     2685     -        -        -  \n",
+       "mitsubishi         -     2394        -     -        -        -  \n",
+       "nissan             -  2237.89        -     -  2452.33        -  \n",
+       "subaru        2447.5     2225        -  2535   2372.5        -  \n",
+       "toyota             -  2258.57  2521.67  2700     2280     3151  \n",
+       "volkswagen         -  2342.22        -     -     2563        -  \n",
+       "volvo              -        -     3023     -        -  3077.67  "
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# You can also use agg functions when grouping\n",
+    "pd.crosstab(df.make, [df.body_style, df.drive_wheels], values=df.curb_weight, aggfunc='mean').fillna('-')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th>body_style</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">convertible</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">hardtop</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">hatchback</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">sedan</th>\n",
+       "      <th colspan=\"3\" halign=\"left\">wagon</th>\n",
+       "      <th>Average</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>drive_wheels</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th>4wd</th>\n",
+       "      <th>fwd</th>\n",
+       "      <th>rwd</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>make</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>honda</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>1970</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2288.8</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2024</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2097.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mazda</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2148.33</td>\n",
+       "      <td>2411.25</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2231.6</td>\n",
+       "      <td>2685</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2298.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mitsubishi</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2376.56</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2394</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2382.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>nissan</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2008</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2176</td>\n",
+       "      <td>3116.33</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2237.89</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2452.33</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2400.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>subaru</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2240</td>\n",
+       "      <td>2085</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2447.5</td>\n",
+       "      <td>2225</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2535</td>\n",
+       "      <td>2372.5</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2316.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>toyota</th>\n",
+       "      <td>-</td>\n",
+       "      <td>2975</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2585</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2177.25</td>\n",
+       "      <td>2626.83</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2258.57</td>\n",
+       "      <td>2521.67</td>\n",
+       "      <td>2700</td>\n",
+       "      <td>2280</td>\n",
+       "      <td>3151</td>\n",
+       "      <td>2441.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volkswagen</th>\n",
+       "      <td>2254</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2221</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2342.22</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2563</td>\n",
+       "      <td>-</td>\n",
+       "      <td>2343.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volvo</th>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>3023</td>\n",
+       "      <td>-</td>\n",
+       "      <td>-</td>\n",
+       "      <td>3077.67</td>\n",
+       "      <td>3038.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Average</th>\n",
+       "      <td>2254</td>\n",
+       "      <td>2975</td>\n",
+       "      <td>2008</td>\n",
+       "      <td>2585</td>\n",
+       "      <td>2240</td>\n",
+       "      <td>2178</td>\n",
+       "      <td>2673.46</td>\n",
+       "      <td>2447.5</td>\n",
+       "      <td>2282.95</td>\n",
+       "      <td>2855.31</td>\n",
+       "      <td>2617.5</td>\n",
+       "      <td>2371.12</td>\n",
+       "      <td>3096</td>\n",
+       "      <td>2406.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "body_style   convertible       hardtop       hatchback                    \\\n",
+       "drive_wheels         fwd   rwd     fwd   rwd       4wd      fwd      rwd   \n",
+       "make                                                                       \n",
+       "honda                  -     -       -     -         -     1970        -   \n",
+       "mazda                  -     -       -     -         -  2148.33  2411.25   \n",
+       "mitsubishi             -     -       -     -         -  2376.56        -   \n",
+       "nissan                 -     -    2008     -         -     2176  3116.33   \n",
+       "subaru                 -     -       -     -      2240     2085        -   \n",
+       "toyota                 -  2975       -  2585         -  2177.25  2626.83   \n",
+       "volkswagen          2254     -       -     -         -     2221        -   \n",
+       "volvo                  -     -       -     -         -        -        -   \n",
+       "Average             2254  2975    2008  2585      2240     2178  2673.46   \n",
+       "\n",
+       "body_style     sedan                     wagon                   Average  \n",
+       "drive_wheels     4wd      fwd      rwd     4wd      fwd      rwd          \n",
+       "make                                                                      \n",
+       "honda              -   2288.8        -       -     2024        -  2097.0  \n",
+       "mazda              -   2231.6     2685       -        -        -  2298.0  \n",
+       "mitsubishi         -     2394        -       -        -        -  2382.0  \n",
+       "nissan             -  2237.89        -       -  2452.33        -  2400.0  \n",
+       "subaru        2447.5     2225        -    2535   2372.5        -  2316.0  \n",
+       "toyota             -  2258.57  2521.67    2700     2280     3151  2441.0  \n",
+       "volkswagen         -  2342.22        -       -     2563        -  2343.0  \n",
+       "volvo              -        -     3023       -        -  3077.67  3038.0  \n",
+       "Average       2447.5  2282.95  2855.31  2617.5  2371.12     3096  2406.0  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# You can also use margins when grouping\n",
+    "pd.crosstab(df.make, [df.body_style, df.drive_wheels], \n",
+    "            values=df.curb_weight, aggfunc='mean', margins=True,\n",
+    "            margins_name='Average').fillna('-').round(0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Visualizing results with Seaborn"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe3115831d0>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fe3115a3160>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Seaborn's heatmap can visualize the final results of the crosstab\n",
+    "sns.heatmap(pd.crosstab(df.drive_wheels, df.make))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe308feba58>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fe311538b38>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# This is a more complex customization of a heatmap\n",
+    "sns.heatmap(pd.crosstab([df.make, df.num_doors], [df.body_style, df.drive_wheels]), cmap=\"YlGnBu\", \n",
+    "            annot=True, cbar=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe308dae358>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fe308febba8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.heatmap(pd.crosstab(df.make, df.body_style, values=df.curb_weight, aggfunc='mean').round(0))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe308dd47f0>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fe308f21898>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.heatmap(pd.crosstab(df.make, [df.body_style, df.drive_wheels], \n",
+    "            values=df.curb_weight, aggfunc='mean', margins=True, margins_name='Average'),\n",
+    "           cmap=\"YlGnBu\", annot=True, cbar=False, fmt='.0f')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Excel_Diff_Update.ipynb b/notebooks/Excel_Diff_Update.ipynb
new file mode 100644
index 0000000..7964f70
--- /dev/null
+++ b/notebooks/Excel_Diff_Update.ipynb
@@ -0,0 +1,1339 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Updated: Using Pandas to Create and Excel Diff\n",
+    "\n",
+    "The [original article](http://pbpython.com/excel-diff-pandas.html) contains some Updating the Excel diff article to work with more recent versions of pandas that no longer use panel.\n",
+    "\n",
+    "The new article can be read [here](http://pbpython.com/excel-diff-pandas-update.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define the diff function to show the changes in each field\n",
+    "def report_diff(x):\n",
+    "    return x[0] if x[0] == x[1] else '{} ---> {}'.format(*x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read in the two files but call the data old and new and create columns to track\n",
+    "old = pd.read_excel('sample-address-1.xlsx', 'Sheet1', na_values=['NA'])\n",
+    "new = pd.read_excel('sample-address-2.xlsx', 'Sheet1', na_values=['NA'])\n",
+    "old['version'] = \"old\"\n",
+    "new['version'] = \"new\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>street</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>postal code</th>\n",
+       "      <th>version</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>935480</td>\n",
+       "      <td>Bruen Group</td>\n",
+       "      <td>5131 Nienow Viaduct Apt. 290</td>\n",
+       "      <td>Port Arlie</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>14118</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>371770</td>\n",
+       "      <td>Cruickshank-Boyer</td>\n",
+       "      <td>839 Lana Expressway Suite 234</td>\n",
+       "      <td>South Viviana</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>57838</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>548367</td>\n",
+       "      <td>Spencer, Grady and Herman</td>\n",
+       "      <td>65387 Lang Circle Apt. 516</td>\n",
+       "      <td>Greenholtbury</td>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>58394</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>296620</td>\n",
+       "      <td>Schamberger, Hagenes and Brown</td>\n",
+       "      <td>26340 Ferry Neck Apt. 612</td>\n",
+       "      <td>McCulloughstad</td>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>74052</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>132971</td>\n",
+       "      <td>Williamson, Schumm and Hettinger</td>\n",
+       "      <td>89403 Casimer Spring</td>\n",
+       "      <td>Jeremieburgh</td>\n",
+       "      <td>Arkansas</td>\n",
+       "      <td>62785</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number                              name  \\\n",
+       "0          935480                       Bruen Group   \n",
+       "1          371770                 Cruickshank-Boyer   \n",
+       "2          548367         Spencer, Grady and Herman   \n",
+       "3          296620    Schamberger, Hagenes and Brown   \n",
+       "4          132971  Williamson, Schumm and Hettinger   \n",
+       "\n",
+       "                          street            city     state  postal code  \\\n",
+       "0   5131 Nienow Viaduct Apt. 290      Port Arlie   Alabama        14118   \n",
+       "1  839 Lana Expressway Suite 234   South Viviana   Alabama        57838   \n",
+       "2     65387 Lang Circle Apt. 516   Greenholtbury    Alaska        58394   \n",
+       "3      26340 Ferry Neck Apt. 612  McCulloughstad    Alaska        74052   \n",
+       "4           89403 Casimer Spring    Jeremieburgh  Arkansas        62785   \n",
+       "\n",
+       "  version  \n",
+       "0     old  \n",
+       "1     old  \n",
+       "2     old  \n",
+       "3     old  \n",
+       "4     old  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "old.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>street</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>postal code</th>\n",
+       "      <th>version</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>935480</td>\n",
+       "      <td>Bruen Group</td>\n",
+       "      <td>5131 Nienow Viaduct Apt. 290</td>\n",
+       "      <td>Port Arlie</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>14118</td>\n",
+       "      <td>new</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>371770</td>\n",
+       "      <td>Cruickshank-Boyer</td>\n",
+       "      <td>839 Lana Expressway Suite 234</td>\n",
+       "      <td>South Viviana</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>57838</td>\n",
+       "      <td>new</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>548367</td>\n",
+       "      <td>Spencer, Grady and Herman</td>\n",
+       "      <td>65387 Lang Circle Apt. 516</td>\n",
+       "      <td>Greenholtbury</td>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>58394</td>\n",
+       "      <td>new</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>132971</td>\n",
+       "      <td>Williamson, Schumm and Hettinger</td>\n",
+       "      <td>89403 Casimer Spring</td>\n",
+       "      <td>Jeremieburgh</td>\n",
+       "      <td>Arkansas</td>\n",
+       "      <td>62785</td>\n",
+       "      <td>new</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>985603</td>\n",
+       "      <td>Bosco-Upton</td>\n",
+       "      <td>03369 Moe Way</td>\n",
+       "      <td>Port Casandra</td>\n",
+       "      <td>Arkansas</td>\n",
+       "      <td>86014</td>\n",
+       "      <td>new</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number                              name  \\\n",
+       "0          935480                       Bruen Group   \n",
+       "1          371770                 Cruickshank-Boyer   \n",
+       "2          548367         Spencer, Grady and Herman   \n",
+       "3          132971  Williamson, Schumm and Hettinger   \n",
+       "4          985603                       Bosco-Upton   \n",
+       "\n",
+       "                          street           city     state  postal code version  \n",
+       "0   5131 Nienow Viaduct Apt. 290     Port Arlie   Alabama        14118     new  \n",
+       "1  839 Lana Expressway Suite 234  South Viviana   Alabama        57838     new  \n",
+       "2     65387 Lang Circle Apt. 516  Greenholtbury    Alaska        58394     new  \n",
+       "3           89403 Casimer Spring   Jeremieburgh  Arkansas        62785     new  \n",
+       "4                  03369 Moe Way  Port Casandra  Arkansas        86014     new  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We use the account numbers as the keys to check what is added, dropped and potentially changed\n",
+    "# Using sets makes the deduping easy and we can use set operations to figure out groupings\n",
+    "old_accts_all = set(old['account number'])\n",
+    "new_accts_all = set(new['account number'])\n",
+    "\n",
+    "dropped_accts = old_accts_all - new_accts_all\n",
+    "added_accts = new_accts_all - old_accts_all"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Join all the data together and ignore indexes so it all gets concatenated\n",
+    "all_data = pd.concat([old,new],ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>street</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>postal code</th>\n",
+       "      <th>version</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>935480</td>\n",
+       "      <td>Bruen Group</td>\n",
+       "      <td>5131 Nienow Viaduct Apt. 290</td>\n",
+       "      <td>Port Arlie</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>14118</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>371770</td>\n",
+       "      <td>Cruickshank-Boyer</td>\n",
+       "      <td>839 Lana Expressway Suite 234</td>\n",
+       "      <td>South Viviana</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>57838</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>548367</td>\n",
+       "      <td>Spencer, Grady and Herman</td>\n",
+       "      <td>65387 Lang Circle Apt. 516</td>\n",
+       "      <td>Greenholtbury</td>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>58394</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>296620</td>\n",
+       "      <td>Schamberger, Hagenes and Brown</td>\n",
+       "      <td>26340 Ferry Neck Apt. 612</td>\n",
+       "      <td>McCulloughstad</td>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>74052</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>132971</td>\n",
+       "      <td>Williamson, Schumm and Hettinger</td>\n",
+       "      <td>89403 Casimer Spring</td>\n",
+       "      <td>Jeremieburgh</td>\n",
+       "      <td>Arkansas</td>\n",
+       "      <td>62785</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number                              name  \\\n",
+       "0          935480                       Bruen Group   \n",
+       "1          371770                 Cruickshank-Boyer   \n",
+       "2          548367         Spencer, Grady and Herman   \n",
+       "3          296620    Schamberger, Hagenes and Brown   \n",
+       "4          132971  Williamson, Schumm and Hettinger   \n",
+       "\n",
+       "                          street            city     state  postal code  \\\n",
+       "0   5131 Nienow Viaduct Apt. 290      Port Arlie   Alabama        14118   \n",
+       "1  839 Lana Expressway Suite 234   South Viviana   Alabama        57838   \n",
+       "2     65387 Lang Circle Apt. 516   Greenholtbury    Alaska        58394   \n",
+       "3      26340 Ferry Neck Apt. 612  McCulloughstad    Alaska        74052   \n",
+       "4           89403 Casimer Spring    Jeremieburgh  Arkansas        62785   \n",
+       "\n",
+       "  version  \n",
+       "0     old  \n",
+       "1     old  \n",
+       "2     old  \n",
+       "3     old  \n",
+       "4     old  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Let's see what changes in the main columns we care about\n",
+    "# Change drop_duplicates syntax: keep=last\n",
+    "changes = all_data.drop_duplicates(subset=[\"account number\", \n",
+    "                                           \"name\", \"street\", \n",
+    "                                           \"city\",\"state\", \n",
+    "                                           \"postal code\"], keep='last')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>street</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>postal code</th>\n",
+       "      <th>version</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>296620</td>\n",
+       "      <td>Schamberger, Hagenes and Brown</td>\n",
+       "      <td>26340 Ferry Neck Apt. 612</td>\n",
+       "      <td>McCulloughstad</td>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>74052</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>595932</td>\n",
+       "      <td>Kuhic, Eichmann and West</td>\n",
+       "      <td>4059 Tobias Inlet</td>\n",
+       "      <td>New Rylanfurt</td>\n",
+       "      <td>Illinois</td>\n",
+       "      <td>89271</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>558879</td>\n",
+       "      <td>Watsica Group</td>\n",
+       "      <td>95616 Enos Grove Suite 139</td>\n",
+       "      <td>West Atlas</td>\n",
+       "      <td>Iowa</td>\n",
+       "      <td>47419</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>880043</td>\n",
+       "      <td>Beatty Inc</td>\n",
+       "      <td>3641 Schaefer Isle Suite 171</td>\n",
+       "      <td>North Gardnertown</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>64318</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>100</th>\n",
+       "      <td>935480</td>\n",
+       "      <td>Bruen Group</td>\n",
+       "      <td>5131 Nienow Viaduct Apt. 290</td>\n",
+       "      <td>Port Arlie</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>14118</td>\n",
+       "      <td>new</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     account number                            name  \\\n",
+       "3            296620  Schamberger, Hagenes and Brown   \n",
+       "24           595932        Kuhic, Eichmann and West   \n",
+       "30           558879                   Watsica Group   \n",
+       "96           880043                      Beatty Inc   \n",
+       "100          935480                     Bruen Group   \n",
+       "\n",
+       "                           street               city     state  postal code  \\\n",
+       "3       26340 Ferry Neck Apt. 612     McCulloughstad    Alaska        74052   \n",
+       "24              4059 Tobias Inlet      New Rylanfurt  Illinois        89271   \n",
+       "30     95616 Enos Grove Suite 139         West Atlas      Iowa        47419   \n",
+       "96   3641 Schaefer Isle Suite 171  North Gardnertown   Wyoming        64318   \n",
+       "100  5131 Nienow Viaduct Apt. 290         Port Arlie   Alabama        14118   \n",
+       "\n",
+       "    version  \n",
+       "3       old  \n",
+       "24      old  \n",
+       "30      old  \n",
+       "96      old  \n",
+       "100     new  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "changes.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Get all the duplicate rows\n",
+    "dupe_accts = changes[changes['account number'].duplicated() == True]['account number'].tolist()\n",
+    "dupes = changes[changes[\"account number\"].isin(dupe_accts)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>street</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>postal code</th>\n",
+       "      <th>version</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>595932</td>\n",
+       "      <td>Kuhic, Eichmann and West</td>\n",
+       "      <td>4059 Tobias Inlet</td>\n",
+       "      <td>New Rylanfurt</td>\n",
+       "      <td>Illinois</td>\n",
+       "      <td>89271</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>558879</td>\n",
+       "      <td>Watsica Group</td>\n",
+       "      <td>95616 Enos Grove Suite 139</td>\n",
+       "      <td>West Atlas</td>\n",
+       "      <td>Iowa</td>\n",
+       "      <td>47419</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>880043</td>\n",
+       "      <td>Beatty Inc</td>\n",
+       "      <td>3641 Schaefer Isle Suite 171</td>\n",
+       "      <td>North Gardnertown</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>64318</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>123</th>\n",
+       "      <td>595932</td>\n",
+       "      <td>Kuhic, Eichmann and West</td>\n",
+       "      <td>4059 Tobias St</td>\n",
+       "      <td>New Rylanfurt</td>\n",
+       "      <td>Illinois</td>\n",
+       "      <td>89271</td>\n",
+       "      <td>new</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>129</th>\n",
+       "      <td>558879</td>\n",
+       "      <td>Watsica Group</td>\n",
+       "      <td>829 Big street</td>\n",
+       "      <td>Smithtown</td>\n",
+       "      <td>Ohio</td>\n",
+       "      <td>47919</td>\n",
+       "      <td>new</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>195</th>\n",
+       "      <td>880043</td>\n",
+       "      <td>Beatty Inc</td>\n",
+       "      <td>3641 Schaefer Isle Suite 171</td>\n",
+       "      <td>North Gardnertown</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>64918</td>\n",
+       "      <td>new</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     account number                      name                        street  \\\n",
+       "24           595932  Kuhic, Eichmann and West             4059 Tobias Inlet   \n",
+       "30           558879             Watsica Group    95616 Enos Grove Suite 139   \n",
+       "96           880043                Beatty Inc  3641 Schaefer Isle Suite 171   \n",
+       "123          595932  Kuhic, Eichmann and West                4059 Tobias St   \n",
+       "129          558879             Watsica Group                829 Big street   \n",
+       "195          880043                Beatty Inc  3641 Schaefer Isle Suite 171   \n",
+       "\n",
+       "                  city     state  postal code version  \n",
+       "24       New Rylanfurt  Illinois        89271     old  \n",
+       "30          West Atlas      Iowa        47419     old  \n",
+       "96   North Gardnertown   Wyoming        64318     old  \n",
+       "123      New Rylanfurt  Illinois        89271     new  \n",
+       "129          Smithtown      Ohio        47919     new  \n",
+       "195  North Gardnertown   Wyoming        64918     new  "
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dupes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Pull out the old and new data into separate dataframes\n",
+    "change_new = dupes[(dupes[\"version\"] == \"new\")]\n",
+    "change_old = dupes[(dupes[\"version\"] == \"old\")]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Drop the temp columns - we don't need them now\n",
+    "change_new = change_new.drop(['version'], axis=1)\n",
+    "change_old = change_old.drop(['version'], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Index on the account numbers\n",
+    "change_new.set_index('account number', inplace=True)\n",
+    "change_old.set_index('account number', inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_all_changes = pd.concat([change_old, change_new],\n",
+    "                           axis='columns',\n",
+    "                           keys=['old', 'new'],\n",
+    "                           join='outer')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"5\" halign=\"left\">old</th>\n",
+       "      <th colspan=\"5\" halign=\"left\">new</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>street</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>postal code</th>\n",
+       "      <th>name</th>\n",
+       "      <th>street</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>postal code</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>account number</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>595932</th>\n",
+       "      <td>Kuhic, Eichmann and West</td>\n",
+       "      <td>4059 Tobias Inlet</td>\n",
+       "      <td>New Rylanfurt</td>\n",
+       "      <td>Illinois</td>\n",
+       "      <td>89271</td>\n",
+       "      <td>Kuhic, Eichmann and West</td>\n",
+       "      <td>4059 Tobias St</td>\n",
+       "      <td>New Rylanfurt</td>\n",
+       "      <td>Illinois</td>\n",
+       "      <td>89271</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>558879</th>\n",
+       "      <td>Watsica Group</td>\n",
+       "      <td>95616 Enos Grove Suite 139</td>\n",
+       "      <td>West Atlas</td>\n",
+       "      <td>Iowa</td>\n",
+       "      <td>47419</td>\n",
+       "      <td>Watsica Group</td>\n",
+       "      <td>829 Big street</td>\n",
+       "      <td>Smithtown</td>\n",
+       "      <td>Ohio</td>\n",
+       "      <td>47919</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>880043</th>\n",
+       "      <td>Beatty Inc</td>\n",
+       "      <td>3641 Schaefer Isle Suite 171</td>\n",
+       "      <td>North Gardnertown</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>64318</td>\n",
+       "      <td>Beatty Inc</td>\n",
+       "      <td>3641 Schaefer Isle Suite 171</td>\n",
+       "      <td>North Gardnertown</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>64918</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                     old                                \\\n",
+       "                                    name                        street   \n",
+       "account number                                                           \n",
+       "595932          Kuhic, Eichmann and West             4059 Tobias Inlet   \n",
+       "558879                     Watsica Group    95616 Enos Grove Suite 139   \n",
+       "880043                        Beatty Inc  3641 Schaefer Isle Suite 171   \n",
+       "\n",
+       "                                                         \\\n",
+       "                             city     state postal code   \n",
+       "account number                                            \n",
+       "595932              New Rylanfurt  Illinois       89271   \n",
+       "558879                 West Atlas      Iowa       47419   \n",
+       "880043          North Gardnertown   Wyoming       64318   \n",
+       "\n",
+       "                                     new                                \\\n",
+       "                                    name                        street   \n",
+       "account number                                                           \n",
+       "595932          Kuhic, Eichmann and West                4059 Tobias St   \n",
+       "558879                     Watsica Group                829 Big street   \n",
+       "880043                        Beatty Inc  3641 Schaefer Isle Suite 171   \n",
+       "\n",
+       "                                                         \n",
+       "                             city     state postal code  \n",
+       "account number                                           \n",
+       "595932              New Rylanfurt  Illinois       89271  \n",
+       "558879                  Smithtown      Ohio       47919  \n",
+       "880043          North Gardnertown   Wyoming       64918  "
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_all_changes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_all_changes = df_all_changes.swaplevel(axis='columns')[change_new.columns[0:]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"2\" halign=\"left\">name</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">street</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">city</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">state</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">postal code</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>old</th>\n",
+       "      <th>new</th>\n",
+       "      <th>old</th>\n",
+       "      <th>new</th>\n",
+       "      <th>old</th>\n",
+       "      <th>new</th>\n",
+       "      <th>old</th>\n",
+       "      <th>new</th>\n",
+       "      <th>old</th>\n",
+       "      <th>new</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>account number</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>595932</th>\n",
+       "      <td>Kuhic, Eichmann and West</td>\n",
+       "      <td>Kuhic, Eichmann and West</td>\n",
+       "      <td>4059 Tobias Inlet</td>\n",
+       "      <td>4059 Tobias St</td>\n",
+       "      <td>New Rylanfurt</td>\n",
+       "      <td>New Rylanfurt</td>\n",
+       "      <td>Illinois</td>\n",
+       "      <td>Illinois</td>\n",
+       "      <td>89271</td>\n",
+       "      <td>89271</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>558879</th>\n",
+       "      <td>Watsica Group</td>\n",
+       "      <td>Watsica Group</td>\n",
+       "      <td>95616 Enos Grove Suite 139</td>\n",
+       "      <td>829 Big street</td>\n",
+       "      <td>West Atlas</td>\n",
+       "      <td>Smithtown</td>\n",
+       "      <td>Iowa</td>\n",
+       "      <td>Ohio</td>\n",
+       "      <td>47419</td>\n",
+       "      <td>47919</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>880043</th>\n",
+       "      <td>Beatty Inc</td>\n",
+       "      <td>Beatty Inc</td>\n",
+       "      <td>3641 Schaefer Isle Suite 171</td>\n",
+       "      <td>3641 Schaefer Isle Suite 171</td>\n",
+       "      <td>North Gardnertown</td>\n",
+       "      <td>North Gardnertown</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>64318</td>\n",
+       "      <td>64918</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                    name                            \\\n",
+       "                                     old                       new   \n",
+       "account number                                                       \n",
+       "595932          Kuhic, Eichmann and West  Kuhic, Eichmann and West   \n",
+       "558879                     Watsica Group             Watsica Group   \n",
+       "880043                        Beatty Inc                Beatty Inc   \n",
+       "\n",
+       "                                      street                                \\\n",
+       "                                         old                           new   \n",
+       "account number                                                               \n",
+       "595932                     4059 Tobias Inlet                4059 Tobias St   \n",
+       "558879            95616 Enos Grove Suite 139                829 Big street   \n",
+       "880043          3641 Schaefer Isle Suite 171  3641 Schaefer Isle Suite 171   \n",
+       "\n",
+       "                             city                        state            \\\n",
+       "                              old                new       old       new   \n",
+       "account number                                                             \n",
+       "595932              New Rylanfurt      New Rylanfurt  Illinois  Illinois   \n",
+       "558879                 West Atlas          Smithtown      Iowa      Ohio   \n",
+       "880043          North Gardnertown  North Gardnertown   Wyoming   Wyoming   \n",
+       "\n",
+       "               postal code         \n",
+       "                       old    new  \n",
+       "account number                     \n",
+       "595932               89271  89271  \n",
+       "558879               47419  47919  \n",
+       "880043               64318  64918  "
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_all_changes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_changed = df_all_changes.groupby(level=0, axis=1).apply(lambda frame: frame.apply(report_diff, axis=1))\n",
+    "df_changed = df_changed.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>city</th>\n",
+       "      <th>name</th>\n",
+       "      <th>postal code</th>\n",
+       "      <th>state</th>\n",
+       "      <th>street</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>595932</td>\n",
+       "      <td>New Rylanfurt</td>\n",
+       "      <td>Kuhic, Eichmann and West</td>\n",
+       "      <td>89271</td>\n",
+       "      <td>Illinois</td>\n",
+       "      <td>4059 Tobias Inlet ---&gt; 4059 Tobias St</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>558879</td>\n",
+       "      <td>West Atlas ---&gt; Smithtown</td>\n",
+       "      <td>Watsica Group</td>\n",
+       "      <td>47419 ---&gt; 47919</td>\n",
+       "      <td>Iowa ---&gt; Ohio</td>\n",
+       "      <td>95616 Enos Grove Suite 139 ---&gt; 829 Big street</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>880043</td>\n",
+       "      <td>North Gardnertown</td>\n",
+       "      <td>Beatty Inc</td>\n",
+       "      <td>64318 ---&gt; 64918</td>\n",
+       "      <td>Wyoming</td>\n",
+       "      <td>3641 Schaefer Isle Suite 171</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number                       city                      name  \\\n",
+       "0          595932              New Rylanfurt  Kuhic, Eichmann and West   \n",
+       "1          558879  West Atlas ---> Smithtown             Watsica Group   \n",
+       "2          880043          North Gardnertown                Beatty Inc   \n",
+       "\n",
+       "        postal code           state  \\\n",
+       "0             89271        Illinois   \n",
+       "1  47419 ---> 47919  Iowa ---> Ohio   \n",
+       "2  64318 ---> 64918         Wyoming   \n",
+       "\n",
+       "                                           street  \n",
+       "0           4059 Tobias Inlet ---> 4059 Tobias St  \n",
+       "1  95616 Enos Grove Suite 139 ---> 829 Big street  \n",
+       "2                    3641 Schaefer Isle Suite 171  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_changed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Diff'ing is done, we need to get a list of removed and added items"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>street</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>postal code</th>\n",
+       "      <th>version</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>296620</td>\n",
+       "      <td>Schamberger, Hagenes and Brown</td>\n",
+       "      <td>26340 Ferry Neck Apt. 612</td>\n",
+       "      <td>McCulloughstad</td>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>74052</td>\n",
+       "      <td>old</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number                            name                     street  \\\n",
+       "3          296620  Schamberger, Hagenes and Brown  26340 Ferry Neck Apt. 612   \n",
+       "\n",
+       "             city   state  postal code version  \n",
+       "3  McCulloughstad  Alaska        74052     old  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_removed = changes[changes[\"account number\"].isin(dropped_accts)]\n",
+    "df_removed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>street</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>postal code</th>\n",
+       "      <th>version</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>199</th>\n",
+       "      <td>34777</td>\n",
+       "      <td>MyCo</td>\n",
+       "      <td>7833 Old Pine Drive</td>\n",
+       "      <td>Orlando</td>\n",
+       "      <td>Florida</td>\n",
+       "      <td>32789</td>\n",
+       "      <td>new</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     account number  name               street     city    state  postal code  \\\n",
+       "199           34777  MyCo  7833 Old Pine Drive  Orlando  Florida        32789   \n",
+       "\n",
+       "    version  \n",
+       "199     new  "
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_added = changes[changes[\"account number\"].isin(added_accts)]\n",
+    "df_added"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Save the changes to excel but only include the columns we care about\n",
+    "output_columns = [\"account number\", \"name\", \"street\", \"city\", \"state\", \"postal code\"]\n",
+    "writer = pd.ExcelWriter(\"my-diff.xlsx\")\n",
+    "df_changed.to_excel(writer,\"changed\", index=False, columns=output_columns)\n",
+    "df_removed.to_excel(writer,\"removed\",index=False, columns=output_columns)\n",
+    "df_added.to_excel(writer,\"added\",index=False, columns=output_columns)\n",
+    "writer.save()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Forecasting-with-prophet.ipynb b/notebooks/Forecasting-with-prophet.ipynb
index e88aa2c..cf7c893 100644
--- a/notebooks/Forecasting-with-prophet.ipynb
+++ b/notebooks/Forecasting-with-prophet.ipynb
@@ -7,6 +7,15 @@
     "Notebook from [Forecast Website Traffic Using Facebook's Prophet Library](http://pbpython.com/prophet-overview.html) "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note: The recommended way to install prophet is to use the following command:\n",
+    "\n",
+    "conda install -c conda-forge fbprophet"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -50,14 +59,25 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -111,7 +131,7 @@
     }
    ],
    "source": [
-    "data_file = \"All Web Site Data Audience Overview.xlsx\"\n",
+    "data_file = \"https://github.com/chris1610/pbpython/blob/master/data/All-Web-Site-Data-Audience-Overview.xlsx?raw=True\"\n",
     "df = pd.read_excel(data_file)\n",
     "df.head()"
    ]
@@ -126,9 +146,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -157,15 +175,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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1oWkaV199Ne973/vo7+9n586ddHV1UVFRQX19PT6fD4DGxkaamppwOp3U1dWx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\njh07OHjwIABjxoxhz5495rEnT56ktLSU4cOHt+ha+/btIzMzkw0bNhA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wEEEQBHH4QkaAiCJx71QSBOEHGQEiesR/ZJEgCD/ICBAEQSQxZASIKEKeAEEkGmQEiOhB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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f9d514efba8>"
+       "<matplotlib.figure.Figure at 0x7f8591e35dd8>"
       ]
      },
      "metadata": {},
@@ -186,15 +202,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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izZoGD/NzhSlGGq6hp2xoBuKfSlo3YGrLU2nWeV2I36RQEh0DRsOQZs/J38/w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Sh9xPQWnGmyQpBCQmDqQmkBHoS3/XPvSGx5eQyYo89ximagLqNR8F/eUDGV0vhYCExIkO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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f9d4de767f0>"
+       "<matplotlib.figure.Figure at 0x7f8591015630>"
       ]
      },
      "metadata": {},
@@ -216,14 +230,25 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -284,15 +309,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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YMgVoEdC//wX01b+X378vGoc++Qjo0n+VWNf9beiu7aDvvgH696eZoG7dyAT4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\nESdPnsRoNHLgwAHTjCEA4eHh7Nu3j6KiIqBhfsbjx4+b/p6cnExYWBj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Rn0BLjzFfC7eH7KPWRZyddBpw/CDLNn+U6++G8oT2dO965nUov7zGfAqR+yE/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\nDTfcgPLy8nYXC3jzzTcdK/h0xRVXOHLeSPn8888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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f9d4dd77c18>"
+       "<matplotlib.figure.Figure at 0x7f8590ed4a90>"
       ]
      },
      "metadata": {},
@@ -313,14 +336,25 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -388,14 +422,12 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<fbprophet.forecaster.Prophet at 0x7f9d4dcf1160>"
+       "<fbprophet.forecaster.Prophet at 0x7f8590e28a20>"
       ]
      },
      "execution_count": 10,
@@ -418,14 +450,25 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -487,9 +530,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "forecast1 = m1.predict(future1)"
@@ -505,14 +546,25 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -546,8 +598,8 @@
        "      <td>-0.012358</td>\n",
        "      <td>3.664253</td>\n",
        "      <td>3.664253</td>\n",
-       "      <td>3.037351</td>\n",
-       "      <td>4.281368</td>\n",
+       "      <td>3.062057</td>\n",
+       "      <td>4.292373</td>\n",
        "      <td>0.184423</td>\n",
        "      <td>0.184423</td>\n",
        "      <td>0.184423</td>\n",
@@ -566,8 +618,8 @@
        "      <td>-0.228551</td>\n",
        "      <td>3.688755</td>\n",
        "      <td>3.688755</td>\n",
-       "      <td>2.865529</td>\n",
-       "      <td>4.086882</td>\n",
+       "      <td>2.841947</td>\n",
+       "      <td>4.023345</td>\n",
        "      <td>0.000932</td>\n",
        "      <td>0.000932</td>\n",
        "      <td>0.000932</td>\n",
@@ -586,8 +638,8 @@
        "      <td>-0.780730</td>\n",
        "      <td>3.713258</td>\n",
        "      <td>3.713258</td>\n",
-       "      <td>2.328066</td>\n",
-       "      <td>3.593121</td>\n",
+       "      <td>2.319354</td>\n",
+       "      <td>3.564319</td>\n",
        "      <td>-0.520686</td>\n",
        "      <td>-0.520686</td>\n",
        "      <td>-0.520686</td>\n",
@@ -606,8 +658,8 @@
        "      <td>-0.673173</td>\n",
        "      <td>3.737760</td>\n",
        "      <td>3.737760</td>\n",
-       "      <td>2.450601</td>\n",
-       "      <td>3.717584</td>\n",
+       "      <td>2.442374</td>\n",
+       "      <td>3.660751</td>\n",
        "      <td>-0.385316</td>\n",
        "      <td>-0.385316</td>\n",
        "      <td>-0.385316</td>\n",
@@ -626,8 +678,8 @@
        "      <td>-0.028859</td>\n",
        "      <td>3.762263</td>\n",
        "      <td>3.762263</td>\n",
-       "      <td>3.117605</td>\n",
-       "      <td>4.311311</td>\n",
+       "      <td>3.158738</td>\n",
+       "      <td>4.331406</td>\n",
        "      <td>0.283490</td>\n",
        "      <td>0.283490</td>\n",
        "      <td>0.283490</td>\n",
@@ -650,11 +702,11 @@
        "4 2014-09-29  0.004494  3.762263       -0.028859       -0.028859     3.762263   \n",
        "\n",
        "   trend_upper  yhat_lower  yhat_upper    weekly  weekly_lower  weekly_upper  \\\n",
-       "0     3.664253    3.037351    4.281368  0.184423      0.184423      0.184423   \n",
-       "1     3.688755    2.865529    4.086882  0.000932      0.000932      0.000932   \n",
-       "2     3.713258    2.328066    3.593121 -0.520686     -0.520686     -0.520686   \n",
-       "3     3.737760    2.450601    3.717584 -0.385316     -0.385316     -0.385316   \n",
-       "4     3.762263    3.117605    4.311311  0.283490      0.283490      0.283490   \n",
+       "0     3.664253    3.062057    4.292373  0.184423      0.184423      0.184423   \n",
+       "1     3.688755    2.841947    4.023345  0.000932      0.000932      0.000932   \n",
+       "2     3.713258    2.319354    3.564319 -0.520686     -0.520686     -0.520686   \n",
+       "3     3.737760    2.442374    3.660751 -0.385316     -0.385316     -0.385316   \n",
+       "4     3.762263    3.158738    4.331406  0.283490      0.283490      0.283490   \n",
        "\n",
        "     yearly  yearly_lower  yearly_upper  seasonal      yhat  \n",
        "0 -0.196780     -0.196780     -0.196780 -0.012358  3.651895  \n",
@@ -676,14 +728,25 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -699,36 +762,36 @@
        "      <th>1250</th>\n",
        "      <td>2018-02-27</td>\n",
        "      <td>7.848040</td>\n",
-       "      <td>6.654015</td>\n",
-       "      <td>9.166710</td>\n",
+       "      <td>6.569701</td>\n",
+       "      <td>9.183382</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1251</th>\n",
        "      <td>2018-02-28</td>\n",
        "      <td>7.787314</td>\n",
-       "      <td>6.564469</td>\n",
-       "      <td>9.083820</td>\n",
+       "      <td>6.532167</td>\n",
+       "      <td>9.077855</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1252</th>\n",
        "      <td>2018-03-01</td>\n",
        "      <td>7.755146</td>\n",
-       "      <td>6.494767</td>\n",
-       "      <td>9.060937</td>\n",
+       "      <td>6.538959</td>\n",
+       "      <td>9.107978</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1253</th>\n",
        "      <td>2018-03-02</td>\n",
        "      <td>7.552382</td>\n",
-       "      <td>6.346593</td>\n",
-       "      <td>8.920342</td>\n",
+       "      <td>6.357826</td>\n",
+       "      <td>8.845762</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1254</th>\n",
        "      <td>2018-03-03</td>\n",
        "      <td>7.011651</td>\n",
-       "      <td>5.815951</td>\n",
-       "      <td>8.377682</td>\n",
+       "      <td>5.742724</td>\n",
+       "      <td>8.390236</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -736,11 +799,11 @@
       ],
       "text/plain": [
        "             ds      yhat  yhat_lower  yhat_upper\n",
-       "1250 2018-02-27  7.848040    6.654015    9.166710\n",
-       "1251 2018-02-28  7.787314    6.564469    9.083820\n",
-       "1252 2018-03-01  7.755146    6.494767    9.060937\n",
-       "1253 2018-03-02  7.552382    6.346593    8.920342\n",
-       "1254 2018-03-03  7.011651    5.815951    8.377682"
+       "1250 2018-02-27  7.848040    6.569701    9.183382\n",
+       "1251 2018-02-28  7.787314    6.532167    9.077855\n",
+       "1252 2018-03-01  7.755146    6.538959    9.107978\n",
+       "1253 2018-03-02  7.552382    6.357826    8.845762\n",
+       "1254 2018-03-03  7.011651    5.742724    8.390236"
       ]
      },
      "execution_count": 14,
@@ -755,14 +818,25 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -776,32 +850,32 @@
        "    <tr>\n",
        "      <th>1250</th>\n",
        "      <td>2560.709477</td>\n",
-       "      <td>775.893445</td>\n",
-       "      <td>9573.075073</td>\n",
+       "      <td>713.156765</td>\n",
+       "      <td>9734.015115</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1251</th>\n",
        "      <td>2409.836175</td>\n",
-       "      <td>709.434900</td>\n",
-       "      <td>8811.561688</td>\n",
+       "      <td>686.885011</td>\n",
+       "      <td>8759.156056</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1252</th>\n",
        "      <td>2333.549138</td>\n",
-       "      <td>661.669726</td>\n",
-       "      <td>8612.217253</td>\n",
+       "      <td>691.566553</td>\n",
+       "      <td>9027.025287</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1253</th>\n",
        "      <td>1905.275686</td>\n",
-       "      <td>570.545519</td>\n",
-       "      <td>7482.649606</td>\n",
+       "      <td>576.990613</td>\n",
+       "      <td>6944.894977</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1254</th>\n",
        "      <td>1109.484324</td>\n",
-       "      <td>335.610555</td>\n",
-       "      <td>4348.916312</td>\n",
+       "      <td>311.912946</td>\n",
+       "      <td>4403.857201</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -809,11 +883,11 @@
       ],
       "text/plain": [
        "             yhat  yhat_lower   yhat_upper\n",
-       "1250  2560.709477  775.893445  9573.075073\n",
-       "1251  2409.836175  709.434900  8811.561688\n",
-       "1252  2333.549138  661.669726  8612.217253\n",
-       "1253  1905.275686  570.545519  7482.649606\n",
-       "1254  1109.484324  335.610555  4348.916312"
+       "1250  2560.709477  713.156765  9734.015115\n",
+       "1251  2409.836175  686.885011  8759.156056\n",
+       "1252  2333.549138  691.566553  9027.025287\n",
+       "1253  1905.275686  576.990613  6944.894977\n",
+       "1254  1109.484324  311.912946  4403.857201"
       ]
      },
      "execution_count": 15,
@@ -835,15 +909,13 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
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otmrr1w9iNG1jsBwgzQhrKhEqOrIxGIUIe0qUVhKJdesHsVa21bESsG64hJFG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hNKkN0Pj0P4vSptDvznie9o4J8TQGPCDNxThixMixp84ug2NF1CvmO7Gvj0Me0ALEnJiUdj3MDQ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11r8dZ+p9bCsI9X57oq+1idAXkBkpYSemec5gB5TkBK97LPUx+lV7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\nn4+UBQvyUskedm7awNya5axYvhyCY2nG2CkAoSYtLqHrg61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w6RiKEy4rJ4ZSBV9KUnEH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MkhQ4xl80XHYfXU1d64AJODpAo2O+uFS+sxR9m/mZLtZ/uJQf75N/v5518pKzXt9nHnjddz/Zc/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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f9d4d4a52b0>"
+       "<matplotlib.figure.Figure at 0x7f859061df60>"
       ]
      },
      "metadata": {},
@@ -857,15 +929,13 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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gkjIEBgIBrF+/HjfddJPZpRARRYnwhojIZogDrZ3rs67Op8EiAznha7QaO1x7j9KNyU9D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fk80MXyEsJakxlxgTz+9TmGbUhh7R0+yCXj1miqtXxzpoBv0wr49WIxFdVa3B1s0OpqA8IwlQN3\ntPPgoe6+BFvBLgbGoKnWkpRdRnpBBQWaaq4NRtgpFXg42uLuYIOHow0qB1vcHW3wcLDBwVZJtVZH\nVnElKepydqUXsf1MPqEqB2bEBTCqvadF5gG8VQND3fBwsOGj42om9Gj8zkOm9sHvakI87BnZznLn\n2f1Rv2A39mYUEWehKVhO55TzYFfvmx8oDKZ3oCsv/JhBjVaLTQvYQKPRVz+dToezszMAjo6OlJWV\noVKpuHKlafve/plSqWTy5Mm88sor6HQ6hg4dSnBwMD/88AMKhYLbb7+dXr16cfToUZ566ikcHR2Z\nMmVKs897qaiS9IIKBljQtlDWyMPRlo/vbc9j287xflIRi9pazyR1cyqprGH14ausO6qmnacD/UPc\nGNvFm47ejrg52GKrVFBaVcP+zBK+Tcvn9g0p3Nnek38MCrbobaIMpapGx/Yz+XyWksv+iyUEu9sT\n6GaPu4MNCgBF7TGllTWUVGopraqhtFJLaZWWoooalIraOWheTraEqhzo5u/MwttDiGvr1iKCv2sU\nCgXP9w/ipR2ZPNTd1yJXNueWVfHmb1dYOKyt1bx3+wS5sjO90NzVqFdZVQ3ZpVVE+TibuyqtSpC7\nPQ62Co5fLaNngKu5q9Nsjf4khoaGkpKSQteuXYmKimLNmjU4OjoSEBBgsMr06NGDFStW1Llv+PDh\ndW5PnjzZYOeD2r2C+wS6yqpgA1AoFEzs6ccz35wzd1UsXmWNlo9+z2HFb1l083dmyfDawMSjnsDE\nyU7J3R09ubujJzmlVfxzVybx65NYPjKMYRGWu9dmc+h0OraeymfJvkt4O9sxPMKdGXEBhKsc622j\nayprtGiqdWiqtVRWa9HUaLFXKnGxV+LmYGM1q36bYmi4Owv3KNmYlGOR250t3neZ+FB3hoabPw1X\nY/UKcOG9Q1fQ6nQWF1ifzasgyN3e4vMYtkR9glzZfaG4dQWBjz32mH4xyMSJE/nkk08oLS3lySef\nNFrlTOGbtHzuaOdh0XsWWpO+wa5U1OjYe6GIAWba19jSJWeXMe3bdFztlPxzcDAjIlU4N3LHBx8X\nO1beGcHP5wuZ/m06D3cv42+RLetLILu0ime+TedSUSVP3taGEZGqRqfAsLdRYm8D7q1wBxuFQsHM\nuEBe3XuRsV18LCr1yomrZXyXVsB7oyMsfnuwP4rycSK7tJqLRZUW11FwOrecYHd7XGRlsMn1DXLj\n18yWsUK40e8ef39/2rSpHeLz8PDg8ccf55lnniE42DqSGtcnt6yKpKtlDJShYINRKhSMjnBhY3LO\nzQ9uZaq1Olbsz+KBzamMilTxr9ER/KWTd6MDwD8aGu7BN+Oi2HIyj1f259VZrW/NDl4qYeSHJwl0\ns2P1mAjGdfOVHGi34I5ID2yVSjYcs5wsBzqdjjk/ZzCuqw8xVtZzYmejoLOvk0V+4Z/J1RDi4WBR\nwX5r0TvQhZM55eauhkE0OgjU6XT8+OOPzJs3j+eeew6AlJQUfvnlF6NVzti+P1tIzwAXIiw4V5U1\nGt3OhR3ni6io1pq7KhbjTG45Yz4+xc/nC3nrznCeiQ3Az7V5m74HuTvwn3FRHM2u4IUfM6w+EPz2\nTAGTvjzLE7f581J82xa1P6epKBUK5g0JZuWBK1RU15i7OkBtIv7iyhruj/bGzsb6ApZegS6cuGp5\n+QJTc8sJVTXvGiKaprOvM1dLqrhYVGHuqjRbo4PAjRs3smPHDm6//XZ9Khdvb2++/PJLo1XO2Laf\nySe2rZvF5oCyVmEedgS7O7D1lGESeVuzGq2Odw9dJeHT0wwMdWPdmHYMCfcw2PwilaMt74/0Z29G\nMa/ts96E3dtO5zP7xwvMHRzE+O6+uLXC4VxDGRDiTrinI2/9dtXcVSG3rIqXd17k7zH+Fp0Y+kZ6\ntnHhVK7l9fqcztEQprLONrV2djYKuvo7syu9yNxVabZGRz+7du1i1qxZ9O/fX9/97OfnR3Z2ttEq\nZ0zFFTX8drGEgRa69N/aje3qzZetPAg8n6/h3o2n2XY6jzdGhPJ8/yC8XQw/tOnhYMPG+zvw0fEc\nvjptfW3+/dkC/vFzBvOGBPOXKO8WvXjDVOYNCeb9Y9kUagyf0PZWzPk5k/gwd+5sbx0pYerTK8CF\n1BwNmirL6FmF2kTnV0oq6eQjveXm0jfYlaNXGpNa3rI1+mqr1WpxdKz7q0Oj0Vx3n7X4+XwhXfyd\nZXm9kYzp6MWhy6WoS6vMXRWT0+p0rD+azeiPT9EzwIV/jY5gRKSnUfNQBrnbs/aeCGb/kEFytuUN\nXTXkSFYpM767wD8GBXFXBy/J1WkgnX2dGRzmzoLdl8xWh2/PFHDsSikTe/pZdc9usLs9OiBFrTF3\nVfTO5msIdLPHW+bLmk2fQFeSsy2vh/hWNToI7NGjBx988AFVVbVf6jqdjo0bNxITE2O0yhnT9jMF\nxAa7yp6LRuLlZEtsWzf+fcJyJqibwvl8DQ9sPsPHJ3JYPDyE2QOCCDJRcuc+QW68OCiIh7emkVdm\n+cH3paJKJm1N4+m+bbgnyktW6BvY/w4M5qvTeZzLM33wkl9ezf/+lMGTfdvQzd+6f2grFAp6tnHm\nt0uWszgk9b8rg93s5fvLXG4LciU1t9wqrrU30uh30IQJEygoKODhhx+mrKyM8ePHo1arGTdunDHr\nZxTlVVp2phfSX4aCjWpsF2++PdM69p2s1upYdeAKoz8+RbSvE+/cHcFdHbxMPt90XDdfhoZ78Pdt\n5yx6oUi1VsfU/5zjrg6ePNjVR4aAjSDI3Z7Jvfx5/scLJj2vTqfjxZ8yiG3ryl3tPS0uv15T9Ap0\n5ZQFrQZNzdUQqpKVwebk5mBDB28nfrbyeYGNvvJu2rSJe++9l1WrVrFgwQLeeustZs6ciZOT9c1J\n2HOhiEgvR7r4uZi7Ki3a0HAPMgorSbGi4cmmSMou4+5/n+L7swUsHRHK7IFBtPMy3zSJl4e0Jae8\nmpUHDLObjzFcW8Ty5G1trCpvnLV5qm8bMgsr2ZKSe/ODDWTD72pO5pQzpbf/DRN7W5NebVwsKwjM\nKSfEQ1YGm9vAEDf2X7ScHuKmuKU5gQsXLuTll18mKSkJrdZ6039sS61dFdwaE8qakoOtkjEdPfno\neMvMGZhfXs2cnzP462dnuL2dOyvvDGdEpCeOZl5t7mCrZM2Ydqw6eJXfLXDi8s70QjYm5fDCwCAC\n3OSLzJgcbZUsvSOUl3ddJL/c+MNWR7NKeeOXLGYNCKSLf8v5kd29jTNn8yrILzfvQptrUnM1hHpY\n53z8liQuxM0i0wfdikZ/W02aNIn33nuPBx98kPT0dKZPn878+fPZtWsXGo3lTJi9mYpqLT+eK2Rg\nWxkKNoXELj78cK7Aqn80/Fm1Vsf6Y9nEv5+MurSad+8OZ3q/QIItaEeBSC9H/jEoiClfn6O8ynLa\n/mpJFdO/SWdGXAB9g+UzaAoDQt0ZHuHBM98Zd1g4r7yax78+x5Q+/gwJs56t4RrDw9GWNq52HLpc\nYu6qoKnWcqm4kigfCQLNrU+gK2fzKqx6AeQtdVkolUpiYmKYPn06CxYsoKioiFWrVvHoo4/y7rvv\nkpfXtPQUJSUlvPLKK0ybNo0FCxZQVlZ/ZP3OO+/w6KOP6pNVN8WuC0WEqxzo1qbl/Eq1ZD3bOONk\nq2RbasuYG7g3o4gRH6awJSWP+UODWXJHKP1D3C1yUcODXX3o6OPEzO/TzV0VoDZn4pPbzzMiUsUD\nXXzMXZ1WZd6QtqRkl/PxceMs1KqqqZ3j2S/YlQe6+LTI3KsxgS4cyTJ/z/rZvNqVwT5GSDclbo2L\nvQ2dfJ344VyhuavSZLf0SS0rK+Pnn39m3rx5zJ07l8jISObNm8eyZctwdHRk4cKFTarE1q1b6dq1\nKytWrCA6Opovvvii3uOGDBnCiy++2KRzXPN1aj6xbV3xdGoZc1UsnUKhYEIPXzYmWfeQcEZhBY98\neZZnv73AfZ29effucO6J8rboKQUKhYJlI8PYl1nMNgvIH7hifxZlVTXMiA2QhSAm5mJvw5oxEczf\nfYnTBp7bptPpeO77dGq0MK1fAF4t9NraM8DF4G3XFGdyNQS721v0tac1GRruwS8Z1rs4pNFX4qVL\nl/L444/z22+/MXz4cN577z0ee+wxoqKi8PHxYfz48U1OHH3o0CHi4+MBGDx4MAcPHqz3uKioKFxc\nmt6DV1Gt5YezhbJXsInd29mbQ5dLuVxcae6q3LLyKi2v7bvMqI9O4utiy7p7Inist7/J0r40l8rR\nlpV3hvO/P2WSXWq+9t+XUcyG39W8MDCo2dvliabp1saF5/sHMv6LNIPNbdPpdLy0I5PTOeX8Iz6o\nRW/B2SvAhdO5GrRmXnWfmle7KKQlrLpuCQaHuXM4q9SiszHcSKN/srVv357JkyejUqnqfVypVLJ6\n9eomVaKwsFBfrkqlorDQOF2ru68NBbegCcvWQOVoy/B2Hqw7ks0/4oPNXZ1G0el0fJ1awPxdF2nv\n7chbo8IZEOpmlT1Y/UPc+UsnL6Z8fZ7PEjuYPK1ETlkVT39znun9Augvc3HNamJPP9JyNYz9LJWt\nY6OalSdVq9Px0s+ZHLhUwoJhbVv8dTXKx4krJZVcKqykrcp8PwJTczR0b2PduRdbkm7+zhRqakhR\nlxFthRlHGh0Ejhkz5qbHODg0/MGYP39+neBOp9OhUCgYO3bsdcca60vq2lCwl3PLHK6wZOO7+zLt\nm3ReHBRk8bmtMgsrmPn9BbJKqni6rz+jO3pZfaqLfwwKYsSHJ3nv0FUe79PGZOfV6nQ8vT2d+FB3\nxnbxsfjXvjWYP6wtf//qHPdtOs2m+zs0KUVPeZWWad+eJ6u4kleGtaVPUMsP7u1tlHTyceLXi8Xm\nDQJzy7knynq34WtpbJQKBoa68c2ZwpYdBDbXnDlzGnxMpVJRUFCg/9fDo/kry5KTk0lOTtbfTkxM\n5Lu0fBYP9EGtbl27WJhaQcH1i0DC7XWg07L5SAZDQizzV6xWp+Oz1BLePlbIqHBnnuvpSaiHgsri\nfNQWnAqqvvauz+IBnoz/5jLdPWqI9DTNkOzaE4WoSzQ819OFkoJczL+20jAa2+aW6pV+bry4N5cR\nG5JYOcyPILfGfxWcK6ji+d05BLra8r+9PQi316A20ZZq5m73zp42/HYhlyH+5hn6q6zRkVlYgb9S\nY7LvMXO3uTXo7aNk+7k8JnRo3mKdwMBANm3apL8dHR1NdHR0c6t3QxbRvRETE8POnTtJSEhg586d\n9O7du8FjdTpdo8be62u8cE8nBnUMlEUhJuDr63vdfRN7afn6QjGJMaFmqNGNZZdWMW37efI11Swe\nHsod7VRWtcKxvva+/hh4Ls6GF/bl8P34TkYf2j5wsYSPT11m2chQekXUP43EmjWmzS3Zmv/xZfn+\nKzy4/SovDAziwa4+N9y7uaSyhlUHr/DBMTXju/vycA9fs8zvNGe794+w4aPjarPVITm7jEB3Bzq0\n9UNlwtEJa3+vG1uCs4rXDibh4OaJezNfl8TERAPVqnEs4lsuISGBEydOMG3aNJKSkkhISAAgPz+f\nRYsW6Y9bsWIFc+bMISsriylTprBjx45bOs+AEDcJAM3o/mgffrtUwsXCCnNXpY59GcWM/PAkbT3s\neefuCEZ3NP12b6YyuZcffi52/HNHplHPk1dWzdTt53iyrz+DW1jOuJZCoVDwTGwAH/wlkg9+VzPo\n/WRWH75K2h8WP5RU1vBrZjH/3JlJv9UnSLpaxopRYUyPDWiVC3x6tHHhdI6Gqhrz9ASe+u9OIbIy\n2LL4utjR0ceJr07nm7sqt0yhs9YlLU3w+W+n6NdWVgYbm1rd8C/lGd+lY2ejYNHt5u8N1Ol0rDxw\nhbVHspkeG8D9nb2tcguzG7V3fXLKqhiyPoU3R4UxJNzwAVq1VseDW84Q6GrPvCHBVj+fsj632uaW\nTqfTsf1MPpuSc0nKLkddWoWdTW2vYJjKgZ4BLgyP8KB/iDuuZvyMmLvddTodXUfyA1IAACAASURB\nVFb9zif3tjdLrtlXdl2ktKqGV014/TR3m1uLdw9d5eClYtbeE9nkMgIDAw1Yo8ZpeVfnG5AE0eb3\nWG9//ufT07w0KBhnM36ZVFRrmfnDBU6qy3ljZCiDwzxaTcoFH2c73hwVxtPfpPOfcR0JMfD2U6/s\nvkh1jY6n+7ZpkQFgS6RQKLirgxd3dfCiRqsju7SK4ooaXOyVuDnYSs/TfykUCnq2cWH/pWKzfJ+c\nyilnYGjLX4RjjUa082Dlb1lUVGutaiTJempqAM52ciEztw7eTnTydWL1kabllDSEvPJqHtxyBnVp\nFctGhjE0XNVqAsBrhoR78FiMH+O2pFFaWWOwcj9LyeW7tAKeiwskwqvl5oxryWyUCgLc7Ong40SQ\nu4MEgH/SK8CFk2rzJI0+mVNOuxaci9GahXs64u1sx/dnrWshTasKAoVlmN4vkH8fV1NdY/o9bS8V\nVZLwySnautvz2h2hdPGzzJXKpjD1tjZ08XNm8pdnDZIA9/DlEubtvMjsAYHEtnU1QA2FsDw9/ps0\n2tQKNNUUV9TQ3luCQEt1X2cvvjxlXfMCJQgUJhfX1hVvZzs2/G7aVD3pBRXcu/E0Q8M9eGlwW4Kt\nZNcPY1EoFCwfGUaBpobZP2Y0K+P9qZxyJn15lml92zCqvafkAxQtVg9/F9JyNQbtQW+MUznlhKkc\n8HKSPYMt1b2dvdmbUUxxhWF25DEFCQKFySkUCmbEBbL2SDY1WtOsS0rNLefejadJ6OTFjLjAFru/\n6a1ysFXy8X3t+TWzmJd2ZDYpEEzKLuOvn51hUk9fxnXztcpdVYRoLC9nWzydbDmaVWrS855Sl9PW\nwx5Xe/l8WapAN3u6+DvxaVKuuavSaPJuEmYxLNwdD0db1hy5avRznbhaRuKmVB7q7sPTfdvgJnOc\n6vBysuXLsVHsTi/iif+cp/IWhul3Xyhi3JYzPNLLl0d6+TdrGzIhrEWvABcOXjJt6vOT/+0JlF52\nyza2iw9fp976kPDivZeMUJubkyu2MAuFQsG8wW1599BVyqqMN6xy8FIJf/v8DI/38eexmDayOKgB\nXs62bP9bJ3LLqrnzo1Ocyb3xxPfyKi1L9l3i6W/OMzMugEk9/a0yvY4QTdGjjQunb/IZMbRTOeWE\nm3G7OtE4d7X35GyehiOXG/8jIaesig3HzLOTmQSBwmxuC3Yl2s+ZJXsvG6X8PReKmPzlWab3a8PD\nPfykl+omXOxt+PT+9twT5cmYT04z47t0krLL6iwaySuvZv3RbIasT+bI5VKWjwjjwW6+0raiVens\n60R6gemS3ut0Ok7llBPp5WSyc4qmcbJTMrGnH28fvNLov/nXoatmS/0jE6OEWS0cFsKID08yrpsP\n7b0Nd4H78Vwhz36bzqwBgdzX2duq8jaZk1Kh4Km+AdzX2Yvl+68wcWsaJZVafJ1tKa/Wkl9eQ99g\nV57s24Y7Iz3xcpZLiGh9onycuFBYSVlljUnynV4sqsTJVkmo9ARahYk9/Ihbe4KMggpCbvKa5ZRV\n8e8TOSwfGWaayv2JXMGFWYV4OPBYjB/PfneBr/7a0SDzXbadzufFnzKYEx/EmBa8BZwxBbg5sHh4\nKFqdjtSccjILK1EqFUR6OeDnYi89f6JV83G2RamAs/kauvobP2n0tfmAsu2pdfBytiWxiw9zd2by\nfsKNdxCZv+siQ8M9GBBint3M5EouzG7qbQFoqrUs/SWr2WVtTs7lpR0ZvDw0mIQo6QFsLqVCQZSv\nM8MjVQyL8CBU5SgBoGj1FAoFUT5O/H61zCTnq90z2AFHuZ5ZjZlxgRy+XMrO84UNHrMvo5h9GcVM\n7mm+6UryjhJmZ2ejYO097Vh3NJt9GcVNKkOr07Fk3yUW77vEK0PbMrqDl37vUyGEMLTOvk6kmShp\n9Cl1OWGeMhRsTdwcbJg3JJjZP2aQX3593sBLRZU8/c15Hu/tT/c25tu0wCL6lktKSli+fDlqtRo/\nPz+eeeYZnJ3rNkpubi4rV66ksLAQhULBsGHDuPPOO81UY2FoIR4OLBsZxmPbzvJZYgeifBv/oSiu\nqOHpb86TXVrFGyNCGRDi3uq2gRNCmFZHHyd+PNdwL48hncop5/Z2HiY5lzCchCgvDlwq4f7NqXz+\nQEf9FowZhRVM+CKNMR09eaCLj1nT/lhEELh161a6du3KPffcw9atW/niiy8YN25cnWNsbGyYMGEC\nYWFhaDQaZs2aRffu3QkKCjJTrYWhjYhUkVsWROJnZ9iQ0I6eATffeuz41VKe3p5ORx9HXhseSudW\nvA2cEMJ0onycWHPY+HugV9ZoSS+ooLOPrAy2NgqFgoXDQnju+wv0W32C/+nkRWWNju1n8rmvszdP\n3mb+vLUWMRx86NAh4uPjARg8eDAHDx687hiVSkVYWBgAjo6OBAUFkZeXZ8pqChN4sJsvc+ODeXBL\nGu8dukJVTf07WFwtqWLOzxn8bUsaCVGevDK0rQSAQgiT6ejtRGZRBUVG3iIsNUdDgJs9/q72Rj2P\nMA6FQsHSEWF8cl97dICbg5JlI8N4YWAQ3s7m3wLQInoCCwsLUalUQG2wV1h44y727OxsLly4QPv2\n7U1RPWFi93b2JsrHkdk/ZrL6cDb/08mLbm1ccLJVkllYwZ7/Tqa9PcKDVXeF06+tG7ZKGf4VQpiO\nm4MN3k52/H6llIGhxhuqPZFdRjtPBzwcJRm7NevexoXubYy/kvxWmSwInD9/fp3gTqfToVAoGDt2\n7HXH3mh8XKPR8MYbb/Dwww/j6OjY4HHJyckkJyfrbycmJqJWmycjd2tTUFDQ7DL8FLBuuDe/XCrn\nu/QSDmQWUFGjw8fJhvYqO/461JsobwccbCrIzzVd0lZLZIj2FrdG2tw8LK3du/vY8tPpbKKcK412\njgMX8gh0UpCbk2O0c9yIpbV5SxYYGMimTZv0t6Ojo4mOjjbqOU0WBM6ZM6fBx1QqFQUFBfp/PTzq\n/1VVU1PD0qVLGTRoEH369Lnh+eprPF9f31uvuGgSQ7X1Pb5wTw+DFNWiyXvb9KTNzcOS2n1QO/jx\nXIFR65RWlMvYLl5mfd6W1OYtXWJioknPZxFzAmNiYti5cycAO3fupHfv3vUe98477xAcHCyrgoUQ\nQphd32BXkrLL0enqn7vcXNVaHSfV5XS5hWwJQtwKiwgCExISOHHiBNOmTSMpKYmEhAQA8vPzWbRo\nEQCnTp1iz549JCUl8fzzzzNr1iyOHTtmzmoLIYRoxSK9HCmr0nI6xzj5As/mafBxtqWth+QIFMZh\nEQtDXF1d6x0u9vT0ZPbs2QBERUWxceNGU1dNCCGEqJdSoaB3oAu7LhQR5Wv4FC4nssuI8HSURSHC\naCyiJ1AIIYSwRrHBbvx+pdQoZR+/WkaElwM2kv1AGIkEgUIIIUQT9QlyJVltnD2Ej2WV0tG74SwY\nQjSXBIFCCCFEE3Xzd+ZSURVXSwybJqayRkuKupzu/paXW060HBIECiGEEE3kYKsk2s+JnelFBi03\nRV1OoJsdISpZFCKMR4JAIYQQohli27px8HKJQcs8mlVKe29HPMy8t6xo2SQIFEIIIZrhtiBXUrLL\nDVrmkaxSonycbriDlhDNJUGgEEII0QwxAS6k5moo0tQYrMzaIFCSRAvjkiBQCCGEaAYPR1tCVfbs\numCYeYF55dXklFXRzd/wuQeF+CMJAoUQQohmig91Z2+GYYLAAxdL6OTjhJ+LvUHKE6IhEgQKIYQQ\nzTQozJ2jWYZJGv3rxWKi/ZxxspOvaGFc8g4TQgghmqlvkBvn8ivIKm5+vsD9F4vpKkPBwgQsYu/g\nkpISli9fjlqtxs/Pj2eeeQZn57oTYquqqpg7dy7V1dXU1NTQr18/7r//fjPVWAghhPh/TnZKurdx\n5vuzBUzo4dfkcgo11ZzLryAmwNWAtROifhbRE7h161a6du3KihUriI6O5osvvrjuGDs7O+bOncuS\nJUt47bXXOHbsGGlpaWaorRBCCHG9wWHu/HaxefkCD1wqIcrHiWB3SRItjM8igsBDhw4RHx8PwODB\ngzl48GC9xzk41H4oqqqqqKkx3FJ8IYQQormGhHtw4FIJNVptk8vYf7GEaF8nmQ8oTMIi3mWFhYWo\nVCoAVCoVhYWF9R6n1Wp5/vnn+fvf/063bt2IjIw0ZTWFEEKIBkX7OqHVwYFLTV8gsjO9kB4Bkh9Q\nmIbJ5gTOnz+/TnCn0+lQKBSMHTv2umMbypCuVCpZsmQJZWVlvPbaa1y8eJHg4OB6j01OTiY5OVl/\nOzExEbVa3cxnIRqjoKDA3FVoVaS9TU/a3Dysod0HBTnw2fHLRDp63fLfXimt5nJRJe2dqyzm+8oa\n2rylCAwMZNOmTfrb0dHRREdHG/WcJgsC58yZ0+BjKpWKgoIC/b8eHh43LMvZ2Zno6GiOHTvWYBBY\nX+P5+vreesVFk0hbm5a0t+lJm5uHpbd7Qld7Fuy+1KR6fntZTe8gV7qFBmBnYznbxVl6m7ckiYmJ\nJj2fRQwHx8TEsHPnTgB27txJ7969rzumqKiIsrIyACorKzlx4gSBgYGmrKYQQghxQ7HBblwoqOBc\n3q3vJfzz+UJ6B7pYVAAoWjaLSBGTkJDAsmXL2LFjB76+vjzzzDMA5Ofn89577zF79mwKCgp4++23\n0Wq16HQ64uLi6NWrl5lrLoQQQvw/B1slQ8M92JicywsD6x+pqo+mWssvmcU8FuNvxNoJUZdCp9Pp\nzF0JU7l8+bK5q9AqqNVqGT4wIWlv05M2Nw9rafefzxeyYPdFfprQ+Plc36UVsHx/Fp/e1x4PR4vo\nnwGsp81bAnOMblrEcLAQQgjRUgwKdedqSRXHbmEbuc9ScokPc7eoAFC0fBIECiGEEAZkq1SQEOXF\nxycat8K3UFPN7gtFDA278aJIIQxNgkAhhBDCwP7a1Ydvzxaiqb75xgZfp+bTs40LXf0lP6AwLQkC\nhRBCCAOL9nOmvZcja4/cuDdQp9Px0fEchka4yy4hwuTkHSeEEEIYwdN9A/j4RA43Wn+5I72I0soa\nRkV6mrBmQtSSIFAIIYQwgkGhbjjYKFh/rP7eQJ1Ox/Jfs7gv2pu2Hg4mrp0QEgQKIYQQRqFQKFhy\nRyhLf7lMTmnVdY9/dTqf3PJqRneQXkBhHhIECiGEEEbSO9CVuzt48sR/zlNZo9XffzZPw5yfM5kR\nG0CYSnoBhXlIECiEEEIY0dzBbQG4f1MqezOK+PxkLg9sTuXBbj7c2cEThUK2iRPmIVkphRBCCCNy\nslPyyX3teXnXRebvuogCBc/GBXBXe08cbaUvRpiPBIFCCCGEkdkoFcwbUtsjWFGtxUGCP2EBLCII\nLCkpYfny5ajVavz8/HjmmWdwdq4/aaZWq+WFF17Ay8uLWbNmmbimQgghRPNIACgshUW8E7du3UrX\nrl1ZsWIF0dHRfPHFFw0eu337doKCgkxYOyGEEEKIlscigsBDhw4RHx8PwODBgzl48GC9x+Xm5nL0\n6FGGDRtmyuoJIYQQQrQ4FhEEFhYWolKpAFCpVBQWFtZ73IYNG3jooYdkJZUQQgghRDOZbE7g/Pnz\n6wR3Op0OhULB2LFjrzu2viDvyJEjeHh4EBYWRnJy8g234RFCCCGEEDdmsiBwzpw5DT6mUqkoKCjQ\n/+vh4XHdMadOneLQoUMcPXqUyspKysvLWblyJU8++WS9ZSYnJ5OcnKy/nZiYSGBgYPOfiLgpaWfT\nkvY2PWlz85B2Nz1pc9PatGmT/v/R0dFER0cb9XwKnQV0qX300Ue4urqSkJDA1q1bKS0tZdy4cQ0e\nn5KSwrZt225pdfCmTZtITEw0RHXFTUhbm5a0t+lJm5uHtLvpSZu3bBYxJzAhIYETJ04wbdo0kpKS\nSEhIACA/P59FixaZuXZCCCGEEC2PReQJdHV1rXe42NPTk9mzZ193f+fOnencubMpqiaEEEII0SJZ\nRE+gKRh7XF38P2lr05L2Nj1pc/OQdjc9afOWzSLmBAohhBBCCNNqNT2BQgghhBDi/0kQKIQQQgjR\nCllUEDh+/HhzV+GG3nnnHR599FGee+45c1fF4B544AFWrlypv63Vapk8eTKLFy82SPnz5s3j3Llz\nNz1u4cKFTJw40WDntSbGfA1KSkqYN28e48ePZ926dc0ur6W52bWnse/faz799FOmTJnChAkTmls1\ni/P5558zY8YMZs6cyaxZs0hLS2tSOSkpKaSmphqsXlOnTqWkpMRg5VnateiBBx7gww8/1N/etm0b\nn332mVnqYsjvark2mZdFrA6+xhzbwWm1WpTKxsXCQ4YMYdSoUXW+qFsKBwcHMjMzqaqqws7OjuPH\nj+Pj43NLZdxKWzZkzJgxVFZW8sMPPzSrHGtkiNegIXZ2dowdO5bMzEwyMjIMUmZLYuhrT+/evRk5\nciTTpk0zaLnmlpqaytGjR1myZAk2NjaUlJRQXV3dpLKSk5NxdHSkQ4cOBqlbc17D+q5dlnYtsrW1\n5cCBA/zlL3/B1dXVrHUxZFvLtcm8LCoIBKioqGDJkiWUlpZSU1PDAw88QO/evVGr1SxcuJCoqChS\nU1Px8vLi+eefx87Ojnnz5vHQQw8RERFBcXExs2fP5u2330atVrNy5UoqKioAmDRpEh06dCAlJYWN\nGzfi4uLC5cuXiYuLw9XVlTvvvBOo/RXv4eHBqFGj6tQtKioKtVpt8jYxlZ49e3LkyBH69u3L3r17\n6d+/PydPngQgLS2N9evXU1VVhb29PU888QQBAQHs3LmTAwcOoNFo0Ol0zJ07l61bt7J3716USiU9\nevTgwQcfBODXX39lzZo1lJWV8fjjjxMVFXVdHbp06UJKSopJn7clacprMHfuXCZNmkRoaCgAL730\nEo888gghISH6ch0cHOjYsSNZWVlmeV6WTqfTkZKSwldffaVPS7Vu3TratWtHfHy8/rgdO3Zw4cIF\nHn74YQB++uknLl26dF3PSGRkpMnqbkoFBQW4ublhY2MDUCcYOXfuHB988AEVFRW4ubnxxBNPoFKp\nmDdvHqGhoaSkpKDVapkyZQru7u788MMP2NjYsHfvXiZOnEhgYCCrV68mNzcXgIcffpgOHTqwefNm\nsrOzyc7OJicnhwkTJpCamsqxY8fw9vZm1qxZKJVKdDodW7du5dixYzg4OPD000/j7+9PUVFRg+Ve\nvXqVq1ev4uvry9NPP13nuVratcjGxoZhw4bx9ddfX7fdqlqt5p133qG4uBh3d3eeeOIJnJycmDlz\nJm+//TZQ+906ffp0/Xfj2rVrKS4uxt7enscee4zAwEBWrVqFvb0958+fp6ioiClTprBr1y5SU1Np\n3749TzzxBFD7edmwYQPHjx9HpVIxffp03NzcuHr1aoPl2tnZkZ6eTseOHet8XuTaZF4WNRwMtb8K\nZs6cyaJFi3jppZf44IMP9I9duXKFUaNGsXTpUpydnfntt9/qLeParxQPDw/mzJnDokWLmD59Ou+/\n/77+mPPnzzNp0iSWL1/OkCFD2LVrF1D75t63bx8DBw404rO0PAqFgri4OPbt20dVVRUZGRl1vsiC\ng4N5+eWXWbx4MYmJiXz88cf6x86fP89zzz3H3LlzOXbsGIcPH+bVV19lyZIl3HPPPfrjtFotCxcu\nZMKECWzevNmkz88aNPU1GDZsGDt27AAgKyuLqqqqOgGgaLyb9XDExsZy+PBhtFotADt37mTIkCGm\nqJpF6NatGzk5OUyfPp01a9bog6Samhref/99ZsyYwauvvsrgwYP55JNP9H9XWVnJkiVLmDx5MqtW\nrcLX15fhw4dz1113sXjxYqKioli/fj133303Cxcu5Nlnn+Wdd97R/312djZz587l+eef56233qJr\n1668/vrr2NnZceTIEf1xrq6uvP7664wYMUJ/vb9RuZcuXWLu3LnXBYCWSKFQMHLkSPbs2UN5eXmd\nx9atW8fgwYN57bXXGDBgAOvWrcPZ2ZmwsDD9a3T48GF69OiBUqnkX//6F5MmTeLVV1/loYceYs2a\nNfqySktLWbBgARMmTGDx4sWMHj2aZcuWkZGRwYULF4DagDIyMpKlS5fSqVMn/fX8RuXm5eWxYMEC\ni5/21dpYXE8gwL///W9OnTqFQqEgPz+fwsJCAPz8/PRfbhEREWRnZ9+wnOrqatatW0d6ejpKpbLO\nL43IyEj9UJuvry/u7u6kp6dTUFBAeHi42bvbzSEkJAS1Ws2+ffvo1atXncdKS0tZuXIlWVlZKBQK\nampq9I9169YNZ2dnAI4fP86QIUOws7MDwMXFRX9c3759gdrXLicnx9hPxyo15TXo168fW7ZsYfz4\n8ezYsYPBgweboeatg6OjI127duXw4cMEBQVRU1ND27ZtzV0tk3F0dGTx4sWcPHmSpKQkVqxYwYMP\nPkhERAQZGRm88sor6HQ6dDodnp6e+r/r378/AJ06dUKj0VBWVnZd2SdOnODSpUtcy1qm0Wj0ozjX\ngpeQkBC0Wi3du3cHaj8vf/weiIuL059vw4YNNy03JiYGW1uL/Bqsl6OjI/Hx8Wzfvh17e3v9/amp\nqcycOROAQYMG8e9//xuo/dHyy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On1TSEZHgT5xU0v19pBMAvU7odY5vcbE9jdVmnnyTHq5iiyqvpdb3ZVaGv/Xr12PkyJGw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\nBEEQBEFoRf4fuz15HUM+zw0AAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f9d4dd18208>"
+       "<matplotlib.figure.Figure at 0x7f8590e60668>"
       ]
      },
      "metadata": {},
@@ -886,9 +956,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "articles = pd.DataFrame({\n",
@@ -909,14 +977,25 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -995,9 +1074,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "m2 = Prophet(holidays=articles).fit(df)"
@@ -1006,9 +1083,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "future2 = m2.make_future_dataframe(periods=90)"
@@ -1017,9 +1092,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "forecast2 = m2.predict(future2)"
@@ -1029,15 +1102,14 @@
    "cell_type": "code",
    "execution_count": 23,
    "metadata": {
-    "collapsed": false,
     "scrolled": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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wko/Va9KztqOevg85OQAnkGjvwMquzrrHFd/Mg6OAVau6UPQE1qzN1H5HJEoAskim0+jq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U/1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ZKEsYinOGvF+d5TEuUVCwRvYJIOzc9rXawTgkRH3FyZ+0JEwWJJEO8zl9AE2S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WSHDstGlgrVOdZhsrammh/ecCV/WraEN5ct4carLmO9O5Wo+mbZDvv27gkdX5qT8KawlO433dAk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CnCwmWL5U6pb/bkFcihkIvHuDQiD/+y14TLo12LbNkZPluq8++ySvbF3PU6sfirdzhlj1lz8w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\nntJp5ccAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f9d4dd7eac8>"
+       "<matplotlib.figure.Figure at 0x7f8590f7fc18>"
       ]
      },
      "metadata": {},
@@ -1051,15 +1123,13 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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nl7tw62XLYdQrWwpY7f0j+ZiH2sc81D7mofZpNQ+7uroquj3FqoM/85nP4MUX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\n0SJ69OhBRUUFSUlJbNiwgQsXLtTLlGAOGo2GQYMGmfWYDdHr9WZ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G/F9HsRSQiIiI3IFBYJnd+3IMQzNp/NPxC+HzeqqdHSIiIiIADALLaiKZwU9e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\n/vnny76fmZnBbbfdhuHhYWQ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Esk2gXpp2gwYXlgRKMpJWCQhFxW+30XujVOl5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\nG0tqwyYqGxGXco3litT7TNP5hlIaq+kfI0zxXYTiNl+uSkqp/nrDfy8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vJAUnoSFOe/xq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XsCQ1j0EBSp4eF9pjvxw8neS8OSmSDdNiUcqlzPs6mxs+PW1Tny+9wcj76bXEejvxNzNsw3k+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\nu4fKSS9vwlUhIy2vlok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       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f9d4dd7e710>"
+       "<matplotlib.figure.Figure at 0x7f8590f7f780>"
       ]
      },
      "metadata": {},
@@ -1101,14 +1171,25 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1124,210 +1205,210 @@
        "    <tr>\n",
        "      <th>892</th>\n",
        "      <td>2017-03-06</td>\n",
-       "      <td>7.845280</td>\n",
-       "      <td>1432.0</td>\n",
-       "      <td>2554.0</td>\n",
-       "      <td>4449.0</td>\n",
+       "      <td>7.846788</td>\n",
+       "      <td>1387.0</td>\n",
+       "      <td>2558.0</td>\n",
+       "      <td>4578.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>893</th>\n",
        "      <td>2017-03-07</td>\n",
-       "      <td>8.087120</td>\n",
-       "      <td>1795.0</td>\n",
+       "      <td>8.087021</td>\n",
+       "      <td>1822.0</td>\n",
        "      <td>3252.0</td>\n",
-       "      <td>5714.0</td>\n",
+       "      <td>5831.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>894</th>\n",
        "      <td>2017-03-08</td>\n",
-       "      <td>7.578796</td>\n",
-       "      <td>1142.0</td>\n",
-       "      <td>1956.0</td>\n",
-       "      <td>3402.0</td>\n",
+       "      <td>7.584845</td>\n",
+       "      <td>1138.0</td>\n",
+       "      <td>1968.0</td>\n",
+       "      <td>3403.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>895</th>\n",
        "      <td>2017-03-09</td>\n",
-       "      <td>7.556725</td>\n",
+       "      <td>7.560417</td>\n",
        "      <td>1079.0</td>\n",
-       "      <td>1914.0</td>\n",
-       "      <td>3367.0</td>\n",
+       "      <td>1921.0</td>\n",
+       "      <td>3497.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>896</th>\n",
        "      <td>2017-03-10</td>\n",
-       "      <td>7.415903</td>\n",
-       "      <td>917.0</td>\n",
-       "      <td>1662.0</td>\n",
-       "      <td>2843.0</td>\n",
+       "      <td>7.422831</td>\n",
+       "      <td>943.0</td>\n",
+       "      <td>1674.0</td>\n",
+       "      <td>2808.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>897</th>\n",
        "      <td>2017-03-11</td>\n",
-       "      <td>6.796987</td>\n",
-       "      <td>483.0</td>\n",
-       "      <td>895.0</td>\n",
-       "      <td>1587.0</td>\n",
+       "      <td>6.795996</td>\n",
+       "      <td>538.0</td>\n",
+       "      <td>894.0</td>\n",
+       "      <td>1566.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>898</th>\n",
        "      <td>2017-03-12</td>\n",
-       "      <td>6.627355</td>\n",
-       "      <td>417.0</td>\n",
-       "      <td>755.0</td>\n",
-       "      <td>1267.0</td>\n",
+       "      <td>6.635982</td>\n",
+       "      <td>435.0</td>\n",
+       "      <td>762.0</td>\n",
+       "      <td>1320.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>899</th>\n",
        "      <td>2017-03-13</td>\n",
-       "      <td>7.240586</td>\n",
+       "      <td>7.246892</td>\n",
        "      <td>811.0</td>\n",
-       "      <td>1395.0</td>\n",
-       "      <td>2341.0</td>\n",
+       "      <td>1404.0</td>\n",
+       "      <td>2303.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>900</th>\n",
        "      <td>2017-03-14</td>\n",
-       "      <td>7.132906</td>\n",
-       "      <td>717.0</td>\n",
-       "      <td>1253.0</td>\n",
-       "      <td>2204.0</td>\n",
+       "      <td>7.146214</td>\n",
+       "      <td>745.0</td>\n",
+       "      <td>1269.0</td>\n",
+       "      <td>2176.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>901</th>\n",
        "      <td>2017-03-15</td>\n",
-       "      <td>7.095244</td>\n",
-       "      <td>702.0</td>\n",
-       "      <td>1206.0</td>\n",
-       "      <td>2201.0</td>\n",
+       "      <td>7.107122</td>\n",
+       "      <td>726.0</td>\n",
+       "      <td>1221.0</td>\n",
+       "      <td>2237.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>902</th>\n",
        "      <td>2017-03-16</td>\n",
-       "      <td>7.102300</td>\n",
-       "      <td>680.0</td>\n",
-       "      <td>1215.0</td>\n",
-       "      <td>2123.0</td>\n",
+       "      <td>7.109091</td>\n",
+       "      <td>673.0</td>\n",
+       "      <td>1223.0</td>\n",
+       "      <td>2082.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>903</th>\n",
        "      <td>2017-03-17</td>\n",
-       "      <td>6.930528</td>\n",
-       "      <td>581.0</td>\n",
-       "      <td>1023.0</td>\n",
-       "      <td>1797.0</td>\n",
+       "      <td>6.937251</td>\n",
+       "      <td>569.0</td>\n",
+       "      <td>1030.0</td>\n",
+       "      <td>1839.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>904</th>\n",
        "      <td>2017-03-18</td>\n",
-       "      <td>6.421249</td>\n",
-       "      <td>359.0</td>\n",
-       "      <td>615.0</td>\n",
-       "      <td>1081.0</td>\n",
+       "      <td>6.431930</td>\n",
+       "      <td>356.0</td>\n",
+       "      <td>621.0</td>\n",
+       "      <td>1054.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>905</th>\n",
        "      <td>2017-03-19</td>\n",
-       "      <td>6.573989</td>\n",
-       "      <td>408.0</td>\n",
-       "      <td>716.0</td>\n",
-       "      <td>1250.0</td>\n",
+       "      <td>6.582660</td>\n",
+       "      <td>400.0</td>\n",
+       "      <td>722.0</td>\n",
+       "      <td>1310.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>906</th>\n",
        "      <td>2017-03-20</td>\n",
-       "      <td>7.188021</td>\n",
-       "      <td>785.0</td>\n",
-       "      <td>1323.0</td>\n",
-       "      <td>2401.0</td>\n",
+       "      <td>7.193989</td>\n",
+       "      <td>770.0</td>\n",
+       "      <td>1331.0</td>\n",
+       "      <td>2338.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>907</th>\n",
        "      <td>2017-03-21</td>\n",
-       "      <td>7.080931</td>\n",
-       "      <td>673.0</td>\n",
-       "      <td>1189.0</td>\n",
-       "      <td>1998.0</td>\n",
+       "      <td>7.093497</td>\n",
+       "      <td>682.0</td>\n",
+       "      <td>1204.0</td>\n",
+       "      <td>2158.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>908</th>\n",
        "      <td>2017-03-22</td>\n",
-       "      <td>7.043732</td>\n",
-       "      <td>671.0</td>\n",
-       "      <td>1146.0</td>\n",
-       "      <td>2051.0</td>\n",
+       "      <td>7.054459</td>\n",
+       "      <td>629.0</td>\n",
+       "      <td>1158.0</td>\n",
+       "      <td>1979.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>909</th>\n",
        "      <td>2017-03-23</td>\n",
-       "      <td>7.051234</td>\n",
-       "      <td>650.0</td>\n",
-       "      <td>1154.0</td>\n",
-       "      <td>2056.0</td>\n",
+       "      <td>7.056471</td>\n",
+       "      <td>639.0</td>\n",
+       "      <td>1160.0</td>\n",
+       "      <td>2001.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>910</th>\n",
        "      <td>2017-03-24</td>\n",
-       "      <td>6.880023</td>\n",
-       "      <td>552.0</td>\n",
-       "      <td>973.0</td>\n",
-       "      <td>1778.0</td>\n",
+       "      <td>6.884807</td>\n",
+       "      <td>555.0</td>\n",
+       "      <td>977.0</td>\n",
+       "      <td>1661.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>911</th>\n",
        "      <td>2017-03-25</td>\n",
-       "      <td>6.371560</td>\n",
-       "      <td>341.0</td>\n",
-       "      <td>585.0</td>\n",
-       "      <td>1053.0</td>\n",
+       "      <td>6.379954</td>\n",
+       "      <td>334.0</td>\n",
+       "      <td>590.0</td>\n",
+       "      <td>1031.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>912</th>\n",
        "      <td>2017-03-26</td>\n",
-       "      <td>6.525523</td>\n",
-       "      <td>404.0</td>\n",
-       "      <td>682.0</td>\n",
-       "      <td>1193.0</td>\n",
+       "      <td>6.531608</td>\n",
+       "      <td>394.0</td>\n",
+       "      <td>687.0</td>\n",
+       "      <td>1226.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>913</th>\n",
        "      <td>2017-03-27</td>\n",
-       "      <td>7.141334</td>\n",
-       "      <td>718.0</td>\n",
-       "      <td>1263.0</td>\n",
-       "      <td>2206.0</td>\n",
+       "      <td>7.144480</td>\n",
+       "      <td>704.0</td>\n",
+       "      <td>1267.0</td>\n",
+       "      <td>2220.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>914</th>\n",
        "      <td>2017-03-28</td>\n",
-       "      <td>7.036720</td>\n",
-       "      <td>641.0</td>\n",
-       "      <td>1138.0</td>\n",
-       "      <td>2046.0</td>\n",
+       "      <td>7.046306</td>\n",
+       "      <td>640.0</td>\n",
+       "      <td>1149.0</td>\n",
+       "      <td>2077.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>915</th>\n",
        "      <td>2017-03-29</td>\n",
-       "      <td>7.002825</td>\n",
-       "      <td>607.0</td>\n",
-       "      <td>1100.0</td>\n",
-       "      <td>1890.0</td>\n",
+       "      <td>7.010502</td>\n",
+       "      <td>625.0</td>\n",
+       "      <td>1108.0</td>\n",
+       "      <td>1984.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>916</th>\n",
        "      <td>2017-03-30</td>\n",
-       "      <td>7.014565</td>\n",
-       "      <td>658.0</td>\n",
-       "      <td>1113.0</td>\n",
-       "      <td>1958.0</td>\n",
+       "      <td>7.016783</td>\n",
+       "      <td>637.0</td>\n",
+       "      <td>1115.0</td>\n",
+       "      <td>1967.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>917</th>\n",
        "      <td>2017-03-31</td>\n",
-       "      <td>6.848607</td>\n",
-       "      <td>548.0</td>\n",
-       "      <td>943.0</td>\n",
-       "      <td>1722.0</td>\n",
+       "      <td>6.850514</td>\n",
+       "      <td>509.0</td>\n",
+       "      <td>944.0</td>\n",
+       "      <td>1653.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1335,32 +1416,32 @@
       ],
       "text/plain": [
        "            ds      yhat  Sessions_lower  Sessions  Sessions_upper\n",
-       "892 2017-03-06  7.845280          1432.0    2554.0          4449.0\n",
-       "893 2017-03-07  8.087120          1795.0    3252.0          5714.0\n",
-       "894 2017-03-08  7.578796          1142.0    1956.0          3402.0\n",
-       "895 2017-03-09  7.556725          1079.0    1914.0          3367.0\n",
-       "896 2017-03-10  7.415903           917.0    1662.0          2843.0\n",
-       "897 2017-03-11  6.796987           483.0     895.0          1587.0\n",
-       "898 2017-03-12  6.627355           417.0     755.0          1267.0\n",
-       "899 2017-03-13  7.240586           811.0    1395.0          2341.0\n",
-       "900 2017-03-14  7.132906           717.0    1253.0          2204.0\n",
-       "901 2017-03-15  7.095244           702.0    1206.0          2201.0\n",
-       "902 2017-03-16  7.102300           680.0    1215.0          2123.0\n",
-       "903 2017-03-17  6.930528           581.0    1023.0          1797.0\n",
-       "904 2017-03-18  6.421249           359.0     615.0          1081.0\n",
-       "905 2017-03-19  6.573989           408.0     716.0          1250.0\n",
-       "906 2017-03-20  7.188021           785.0    1323.0          2401.0\n",
-       "907 2017-03-21  7.080931           673.0    1189.0          1998.0\n",
-       "908 2017-03-22  7.043732           671.0    1146.0          2051.0\n",
-       "909 2017-03-23  7.051234           650.0    1154.0          2056.0\n",
-       "910 2017-03-24  6.880023           552.0     973.0          1778.0\n",
-       "911 2017-03-25  6.371560           341.0     585.0          1053.0\n",
-       "912 2017-03-26  6.525523           404.0     682.0          1193.0\n",
-       "913 2017-03-27  7.141334           718.0    1263.0          2206.0\n",
-       "914 2017-03-28  7.036720           641.0    1138.0          2046.0\n",
-       "915 2017-03-29  7.002825           607.0    1100.0          1890.0\n",
-       "916 2017-03-30  7.014565           658.0    1113.0          1958.0\n",
-       "917 2017-03-31  6.848607           548.0     943.0          1722.0"
+       "892 2017-03-06  7.846788          1387.0    2558.0          4578.0\n",
+       "893 2017-03-07  8.087021          1822.0    3252.0          5831.0\n",
+       "894 2017-03-08  7.584845          1138.0    1968.0          3403.0\n",
+       "895 2017-03-09  7.560417          1079.0    1921.0          3497.0\n",
+       "896 2017-03-10  7.422831           943.0    1674.0          2808.0\n",
+       "897 2017-03-11  6.795996           538.0     894.0          1566.0\n",
+       "898 2017-03-12  6.635982           435.0     762.0          1320.0\n",
+       "899 2017-03-13  7.246892           811.0    1404.0          2303.0\n",
+       "900 2017-03-14  7.146214           745.0    1269.0          2176.0\n",
+       "901 2017-03-15  7.107122           726.0    1221.0          2237.0\n",
+       "902 2017-03-16  7.109091           673.0    1223.0          2082.0\n",
+       "903 2017-03-17  6.937251           569.0    1030.0          1839.0\n",
+       "904 2017-03-18  6.431930           356.0     621.0          1054.0\n",
+       "905 2017-03-19  6.582660           400.0     722.0          1310.0\n",
+       "906 2017-03-20  7.193989           770.0    1331.0          2338.0\n",
+       "907 2017-03-21  7.093497           682.0    1204.0          2158.0\n",
+       "908 2017-03-22  7.054459           629.0    1158.0          1979.0\n",
+       "909 2017-03-23  7.056471           639.0    1160.0          2001.0\n",
+       "910 2017-03-24  6.884807           555.0     977.0          1661.0\n",
+       "911 2017-03-25  6.379954           334.0     590.0          1031.0\n",
+       "912 2017-03-26  6.531608           394.0     687.0          1226.0\n",
+       "913 2017-03-27  7.144480           704.0    1267.0          2220.0\n",
+       "914 2017-03-28  7.046306           640.0    1149.0          2077.0\n",
+       "915 2017-03-29  7.010502           625.0    1108.0          1984.0\n",
+       "916 2017-03-30  7.016783           637.0    1115.0          1967.0\n",
+       "917 2017-03-31  6.850514           509.0     944.0          1653.0"
       ]
      },
      "execution_count": 26,
@@ -1399,7 +1480,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python [default]",
    "language": "python",
    "name": "python3"
   },
@@ -1417,5 +1498,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/notebooks/Grouper-Agg-Explained.ipynb b/notebooks/Grouper-Agg-Explained.ipynb
new file mode 100644
index 0000000..416d409
--- /dev/null
+++ b/notebooks/Grouper-Agg-Explained.ipynb
@@ -0,0 +1,1038 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Notebook accompanying pbpython article - [Pandas Grouper and Agg Functions Explained](http://pbpython.com/pandas-grouper-agg.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import collections"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Read in the sample sales file then convert the date column to a proper date time column"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "df = pd.read_excel(\"https://github.com/chris1610/pbpython/blob/master/data/sample-salesv3.xlsx?raw=True\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>sku</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>740150</td>\n",
+       "      <td>Barton LLC</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>39</td>\n",
+       "      <td>86.69</td>\n",
+       "      <td>3380.91</td>\n",
+       "      <td>2014-01-01 07:21:51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>714466</td>\n",
+       "      <td>Trantow-Barrows</td>\n",
+       "      <td>S2-77896</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>63.16</td>\n",
+       "      <td>-63.16</td>\n",
+       "      <td>2014-01-01 10:00:47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>B1-69924</td>\n",
+       "      <td>23</td>\n",
+       "      <td>90.70</td>\n",
+       "      <td>2086.10</td>\n",
+       "      <td>2014-01-01 13:24:58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>307599</td>\n",
+       "      <td>Kassulke, Ondricka and Metz</td>\n",
+       "      <td>S1-65481</td>\n",
+       "      <td>41</td>\n",
+       "      <td>21.05</td>\n",
+       "      <td>863.05</td>\n",
+       "      <td>2014-01-01 15:05:22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S2-34077</td>\n",
+       "      <td>6</td>\n",
+       "      <td>83.21</td>\n",
+       "      <td>499.26</td>\n",
+       "      <td>2014-01-01 23:26:55</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number                         name       sku  quantity  \\\n",
+       "0          740150                   Barton LLC  B1-20000        39   \n",
+       "1          714466              Trantow-Barrows  S2-77896        -1   \n",
+       "2          218895                    Kulas Inc  B1-69924        23   \n",
+       "3          307599  Kassulke, Ondricka and Metz  S1-65481        41   \n",
+       "4          412290                Jerde-Hilpert  S2-34077         6   \n",
+       "\n",
+       "   unit price  ext price                date  \n",
+       "0       86.69    3380.91 2014-01-01 07:21:51  \n",
+       "1       63.16     -63.16 2014-01-01 10:00:47  \n",
+       "2       90.70    2086.10 2014-01-01 13:24:58  \n",
+       "3       21.05     863.05 2014-01-01 15:05:22  \n",
+       "4       83.21     499.26 2014-01-01 23:26:55  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"date\"] = pd.to_datetime(df['date'])\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "account number             int64\n",
+       "name                      object\n",
+       "sku                       object\n",
+       "quantity                   int64\n",
+       "unit price               float64\n",
+       "ext price                float64\n",
+       "date              datetime64[ns]\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Example showing how resample can be used along with set_index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "date\n",
+       "2014-01-31    185361.66\n",
+       "2014-02-28    146211.62\n",
+       "2014-03-31    203921.38\n",
+       "2014-04-30    174574.11\n",
+       "2014-05-31    165418.55\n",
+       "2014-06-30    174089.33\n",
+       "2014-07-31    191662.11\n",
+       "2014-08-31    153778.59\n",
+       "2014-09-30    168443.17\n",
+       "2014-10-31    171495.32\n",
+       "2014-11-30    119961.22\n",
+       "2014-12-31    163867.26\n",
+       "Freq: M, Name: ext price, dtype: float64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.set_index('date').resample('M')[\"ext price\"].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A more complex example with a groupby"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "name                             date      \n",
+       "Barton LLC                       2014-01-31     6177.57\n",
+       "                                 2014-02-28    12218.03\n",
+       "                                 2014-03-31     3513.53\n",
+       "                                 2014-04-30    11474.20\n",
+       "                                 2014-05-31    10220.17\n",
+       "                                 2014-06-30    10463.73\n",
+       "                                 2014-07-31     6750.48\n",
+       "                                 2014-08-31    17541.46\n",
+       "                                 2014-09-30    14053.61\n",
+       "                                 2014-10-31     9351.68\n",
+       "                                 2014-11-30     4901.14\n",
+       "                                 2014-12-31     2772.90\n",
+       "Cronin, Oberbrunner and Spencer  2014-01-31     1141.75\n",
+       "                                 2014-02-28    13976.26\n",
+       "                                 2014-03-31    11691.62\n",
+       "                                 2014-04-30     3685.44\n",
+       "                                 2014-05-31     6760.11\n",
+       "                                 2014-06-30     5379.67\n",
+       "                                 2014-07-31     6020.30\n",
+       "                                 2014-08-31     5399.58\n",
+       "Name: ext price, dtype: float64"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.set_index('date').groupby('name')[\"ext price\"].resample(\"M\").sum().head(20)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A simpler example using pd.Grouper"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "name                             date      \n",
+       "Barton LLC                       2014-01-31     6177.57\n",
+       "                                 2014-02-28    12218.03\n",
+       "                                 2014-03-31     3513.53\n",
+       "                                 2014-04-30    11474.20\n",
+       "                                 2014-05-31    10220.17\n",
+       "                                 2014-06-30    10463.73\n",
+       "                                 2014-07-31     6750.48\n",
+       "                                 2014-08-31    17541.46\n",
+       "                                 2014-09-30    14053.61\n",
+       "                                 2014-10-31     9351.68\n",
+       "                                 2014-11-30     4901.14\n",
+       "                                 2014-12-31     2772.90\n",
+       "Cronin, Oberbrunner and Spencer  2014-01-31     1141.75\n",
+       "                                 2014-02-28    13976.26\n",
+       "                                 2014-03-31    11691.62\n",
+       "                                 2014-04-30     3685.44\n",
+       "                                 2014-05-31     6760.11\n",
+       "                                 2014-06-30     5379.67\n",
+       "                                 2014-07-31     6020.30\n",
+       "                                 2014-08-31     5399.58\n",
+       "Name: ext price, dtype: float64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby(['name', pd.Grouper(key='date', freq='M')])['ext price'].sum().head(20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "name                             date      \n",
+       "Barton LLC                       2014-12-31    109438.50\n",
+       "Cronin, Oberbrunner and Spencer  2014-12-31     89734.55\n",
+       "Frami, Hills and Schmidt         2014-12-31    103569.59\n",
+       "Fritsch, Russel and Anderson     2014-12-31    112214.71\n",
+       "Halvorson, Crona and Champlin    2014-12-31     70004.36\n",
+       "Herman LLC                       2014-12-31     82865.00\n",
+       "Jerde-Hilpert                    2014-12-31    112591.43\n",
+       "Kassulke, Ondricka and Metz      2014-12-31     86451.07\n",
+       "Keeling LLC                      2014-12-31    100934.30\n",
+       "Kiehn-Spinka                     2014-12-31     99608.77\n",
+       "Koepp Ltd                        2014-12-31    103660.54\n",
+       "Kuhn-Gusikowski                  2014-12-31     91094.28\n",
+       "Kulas Inc                        2014-12-31    137351.96\n",
+       "Pollich LLC                      2014-12-31     87347.18\n",
+       "Purdy-Kunde                      2014-12-31     77898.21\n",
+       "Sanford and Sons                 2014-12-31     98822.98\n",
+       "Stokes LLC                       2014-12-31     91535.92\n",
+       "Trantow-Barrows                  2014-12-31    123381.38\n",
+       "White-Trantow                    2014-12-31    135841.99\n",
+       "Will LLC                         2014-12-31    104437.60\n",
+       "Name: ext price, dtype: float64"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby(['name', pd.Grouper(key='date', freq='A-DEC')])['ext price'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# This works but is kind of slow and probably not that useful for this data set\n",
+    "#df.groupby(['name', pd.Grouper(key='date', freq='60s')])['ext price'].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Some more examples using various off set alisases - http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "name        date      \n",
+       "Barton LLC  2014-01-06    3380.91\n",
+       "            2014-01-20     224.86\n",
+       "            2014-01-27    2423.96\n",
+       "            2014-02-03     147.84\n",
+       "            2014-02-10     217.14\n",
+       "            2014-02-17    8442.09\n",
+       "            2014-03-03    3558.80\n",
+       "            2014-03-10    1763.49\n",
+       "            2014-03-17    1750.04\n",
+       "            2014-04-07    1561.14\n",
+       "            2014-04-14    4702.61\n",
+       "            2014-04-21     836.63\n",
+       "            2014-04-28    2540.79\n",
+       "            2014-05-05    4109.99\n",
+       "            2014-05-12    1671.83\n",
+       "            2014-05-26    3251.43\n",
+       "            2014-06-02    6112.87\n",
+       "            2014-06-09     677.35\n",
+       "            2014-06-16    2798.00\n",
+       "            2014-06-23    3895.46\n",
+       "            2014-07-14    1033.26\n",
+       "            2014-07-21    3989.22\n",
+       "            2014-08-04    7384.80\n",
+       "            2014-08-11      84.18\n",
+       "            2014-08-18    3857.10\n",
+       "            2014-08-25    2925.94\n",
+       "            2014-09-01    5017.44\n",
+       "            2014-09-08    1319.28\n",
+       "            2014-09-15    2608.50\n",
+       "            2014-09-22    7371.67\n",
+       "                           ...   \n",
+       "Will LLC    2014-03-31    2595.78\n",
+       "            2014-04-07     991.99\n",
+       "            2014-04-14    2069.20\n",
+       "            2014-04-21    3007.03\n",
+       "            2014-04-28      26.72\n",
+       "            2014-05-12    2220.74\n",
+       "            2014-05-19    3250.88\n",
+       "            2014-06-02    6385.33\n",
+       "            2014-06-16    1440.96\n",
+       "            2014-06-23      56.15\n",
+       "            2014-06-30     922.41\n",
+       "            2014-07-07    2985.85\n",
+       "            2014-07-14    3073.44\n",
+       "            2014-07-21    3951.27\n",
+       "            2014-07-28    1006.98\n",
+       "            2014-08-11     773.90\n",
+       "            2014-08-18     254.04\n",
+       "            2014-08-25     411.88\n",
+       "            2014-09-01    2020.57\n",
+       "            2014-09-29    2325.42\n",
+       "            2014-10-06     371.52\n",
+       "            2014-10-20      99.47\n",
+       "            2014-10-27    1616.14\n",
+       "            2014-11-03    5768.60\n",
+       "            2014-11-10    1734.08\n",
+       "            2014-12-01     705.96\n",
+       "            2014-12-08    4301.00\n",
+       "            2014-12-15    3502.09\n",
+       "            2014-12-22    2993.40\n",
+       "            2015-01-05    1764.72\n",
+       "Name: ext price, Length: 805, dtype: float64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby(['name', pd.Grouper(key='date', freq='W-MON')])['ext price'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "name                             sku       date      \n",
+       "Barton LLC                       B1-04202  2014-12-31     2433.20\n",
+       "                                 B1-05914  2014-12-31      324.72\n",
+       "                                 B1-20000  2014-12-31     7212.11\n",
+       "                                 B1-33087  2014-12-31     4159.97\n",
+       "                                 B1-33364  2014-12-31     4369.19\n",
+       "                                 B1-38851  2014-12-31     6627.93\n",
+       "                                 B1-50809  2014-12-31     5087.44\n",
+       "                                 B1-53102  2014-12-31      431.27\n",
+       "                                 B1-53636  2014-12-31     3737.59\n",
+       "                                 B1-65551  2014-12-31     4703.54\n",
+       "                                 B1-69924  2014-12-31     1634.29\n",
+       "                                 B1-86481  2014-12-31     1457.80\n",
+       "                                 S1-06532  2014-12-31     8346.20\n",
+       "                                 S1-27722  2014-12-31     5840.43\n",
+       "                                 S1-30248  2014-12-31      887.97\n",
+       "                                 S1-47412  2014-12-31     5176.74\n",
+       "                                 S1-50961  2014-12-31     1883.31\n",
+       "                                 S1-65481  2014-12-31     3352.62\n",
+       "                                 S1-82801  2014-12-31     5453.39\n",
+       "                                 S1-93683  2014-12-31     1715.28\n",
+       "                                 S2-10342  2014-12-31    12337.83\n",
+       "                                 S2-11481  2014-12-31      728.50\n",
+       "                                 S2-16558  2014-12-31      623.07\n",
+       "                                 S2-34077  2014-12-31     5726.16\n",
+       "                                 S2-77896  2014-12-31     6156.02\n",
+       "                                 S2-78676  2014-12-31     2616.60\n",
+       "                                 S2-82423  2014-12-31     3735.43\n",
+       "                                 S2-83881  2014-12-31     2679.90\n",
+       "Cronin, Oberbrunner and Spencer  B1-04202  2014-12-31     5054.84\n",
+       "                                 B1-05914  2014-12-31     4003.64\n",
+       "                                                           ...   \n",
+       "White-Trantow                    S2-82423  2014-12-31     5863.69\n",
+       "                                 S2-83881  2014-12-31     6506.07\n",
+       "Will LLC                         B1-04202  2014-12-31      464.33\n",
+       "                                 B1-05914  2014-12-31     5935.53\n",
+       "                                 B1-20000  2014-12-31     4113.19\n",
+       "                                 B1-33087  2014-12-31     3711.06\n",
+       "                                 B1-33364  2014-12-31    11599.40\n",
+       "                                 B1-38851  2014-12-31     1475.09\n",
+       "                                 B1-53102  2014-12-31     6995.58\n",
+       "                                 B1-53636  2014-12-31      532.80\n",
+       "                                 B1-65551  2014-12-31     3039.01\n",
+       "                                 B1-69924  2014-12-31    10021.68\n",
+       "                                 B1-86481  2014-12-31     1770.34\n",
+       "                                 S1-06532  2014-12-31     3314.72\n",
+       "                                 S1-27722  2014-12-31     4493.11\n",
+       "                                 S1-30248  2014-12-31      975.52\n",
+       "                                 S1-47412  2014-12-31     1642.68\n",
+       "                                 S1-50961  2014-12-31     3513.62\n",
+       "                                 S1-65481  2014-12-31      593.46\n",
+       "                                 S1-82801  2014-12-31     2034.92\n",
+       "                                 S1-93683  2014-12-31     9559.57\n",
+       "                                 S2-00301  2014-12-31     2117.33\n",
+       "                                 S2-10342  2014-12-31     4918.55\n",
+       "                                 S2-11481  2014-12-31     4324.79\n",
+       "                                 S2-16558  2014-12-31      413.52\n",
+       "                                 S2-23246  2014-12-31     1893.25\n",
+       "                                 S2-34077  2014-12-31      991.99\n",
+       "                                 S2-77896  2014-12-31     5321.87\n",
+       "                                 S2-78676  2014-12-31     5016.76\n",
+       "                                 S2-83881  2014-12-31     3653.93\n",
+       "Name: ext price, Length: 544, dtype: float64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby(['name', 'sku', pd.Grouper(key='date', freq='A-DEC')])['ext price'].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now show how to use the new .agg function\n",
+    "\n",
+    "First, how to get summary stats without agg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ext price    2018784.32\n",
+       "quantity       36463.00\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[[\"ext price\", \"quantity\"]].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ext price    1345.856213\n",
+       "quantity       24.308667\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[[\"ext price\", \"quantity\"]].mean()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Using .agg for sums and means across multiple columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>sum</th>\n",
+       "      <td>2.018784e+06</td>\n",
+       "      <td>36463.000000</td>\n",
+       "      <td>82511.290000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.345856e+03</td>\n",
+       "      <td>24.308667</td>\n",
+       "      <td>55.007527</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         ext price      quantity    unit price\n",
+       "sum   2.018784e+06  36463.000000  82511.290000\n",
+       "mean  1.345856e+03     24.308667     55.007527"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[[\"ext price\", \"quantity\", \"unit price\"]].agg(['sum', 'mean'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Passing a dictionary containing different operations per column"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.345856e+03</td>\n",
+       "      <td>24.308667</td>\n",
+       "      <td>55.007527</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sum</th>\n",
+       "      <td>2.018784e+06</td>\n",
+       "      <td>36463.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         ext price      quantity  unit price\n",
+       "mean  1.345856e+03     24.308667   55.007527\n",
+       "sum   2.018784e+06  36463.000000         NaN"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.agg({'ext price': ['sum', 'mean'], 'quantity': ['sum', 'mean'], 'unit price': ['mean']})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Using custom functions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "get_max = lambda x: x.value_counts(dropna=False).index[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "      <th>sku</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>&lt;lambda&gt;</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S2-77896</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.345856e+03</td>\n",
+       "      <td>24.308667</td>\n",
+       "      <td>55.007527</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sum</th>\n",
+       "      <td>2.018784e+06</td>\n",
+       "      <td>36463.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             ext price      quantity  unit price       sku\n",
+       "<lambda>           NaN           NaN         NaN  S2-77896\n",
+       "mean      1.345856e+03     24.308667   55.007527       NaN\n",
+       "sum       2.018784e+06  36463.000000         NaN       NaN"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.agg({'ext price': ['sum', 'mean'], 'quantity': ['sum', 'mean'], 'unit price': ['mean'], 'sku': [get_max]})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Clean up the naming in the output by defining the name for get_max"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "get_max.__name__ = \"most frequent\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "      <th>sku</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.345856e+03</td>\n",
+       "      <td>24.308667</td>\n",
+       "      <td>55.007527</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>most frequent</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S2-77896</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sum</th>\n",
+       "      <td>2.018784e+06</td>\n",
+       "      <td>36463.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  ext price      quantity  unit price       sku\n",
+       "mean           1.345856e+03     24.308667   55.007527       NaN\n",
+       "most frequent           NaN           NaN         NaN  S2-77896\n",
+       "sum            2.018784e+06  36463.000000         NaN       NaN"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.agg({'ext price': ['sum', 'mean'], 'quantity': ['sum', 'mean'], 'unit price': ['mean'], 'sku': [get_max]})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Using an OrderedDictionary to maintain column order"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "f = collections.OrderedDict([('ext price', ['sum', 'mean']), ('quantity', ['sum', 'mean']), ('sku', [get_max])])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>sku</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.345856e+03</td>\n",
+       "      <td>24.308667</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>most frequent</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S2-77896</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sum</th>\n",
+       "      <td>2.018784e+06</td>\n",
+       "      <td>36463.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  ext price      quantity       sku\n",
+       "mean           1.345856e+03     24.308667       NaN\n",
+       "most frequent           NaN           NaN  S2-77896\n",
+       "sum            2.018784e+06  36463.000000       NaN"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.agg(f)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python [conda env:pbpython3]",
+   "language": "python",
+   "name": "conda-env-pbpython3-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/notebooks/Ipython-pandas-tips-and-tricks.ipynb b/notebooks/Ipython-pandas-tips-and-tricks.ipynb
index 23a66c6..073492e 100644
--- a/notebooks/Ipython-pandas-tips-and-tricks.ipynb
+++ b/notebooks/Ipython-pandas-tips-and-tricks.ipynb
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 29,
    "metadata": {
     "collapsed": true
    },
@@ -62,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 30,
    "metadata": {
     "collapsed": true
    },
@@ -111,10 +111,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 31,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -156,7 +154,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -168,15 +166,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 32,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -184,10 +193,7 @@
        "      <th>account number</th>\n",
        "      <th>name</th>\n",
        "      <th>sku</th>\n",
-       "      <th>category</th>\n",
-       "      <th>quantity</th>\n",
-       "      <th>unit price</th>\n",
-       "      <th>ext price</th>\n",
+       "      <th>...</th>\n",
        "      <th>Tax rate</th>\n",
        "      <th>Tax amount</th>\n",
        "      <th>date</th>\n",
@@ -199,12 +205,9 @@
        "      <td>296809</td>\n",
        "      <td>Carroll PLC</td>\n",
        "      <td>QN-82852</td>\n",
-       "      <td>Belt</td>\n",
-       "      <td>13</td>\n",
-       "      <td>44.48</td>\n",
-       "      <td>578.24</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>40.4768</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$40.48</td>\n",
        "      <td>2014-09-27 07:13:03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -212,38 +215,29 @@
        "      <td>98022</td>\n",
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>MJ-21460</td>\n",
-       "      <td>Shoes</td>\n",
-       "      <td>19</td>\n",
-       "      <td>53.62</td>\n",
-       "      <td>1018.78</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>71.3146</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$71.31</td>\n",
        "      <td>2014-07-29 02:10:44</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>563905</td>\n",
-       "      <td>Kerluke, Reilly and Bechtelar</td>\n",
-       "      <td>AS-93055</td>\n",
-       "      <td>Shirt</td>\n",
-       "      <td>12</td>\n",
-       "      <td>24.16</td>\n",
-       "      <td>289.92</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>20.2944</td>\n",
-       "      <td>2014-03-01 10:51:24</td>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>93356</td>\n",
        "      <td>Waters-Walker</td>\n",
        "      <td>AS-93055</td>\n",
-       "      <td>Shirt</td>\n",
-       "      <td>5</td>\n",
-       "      <td>82.68</td>\n",
-       "      <td>413.40</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>28.9380</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$28.94</td>\n",
        "      <td>2013-11-17 20:41:11</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -251,41 +245,41 @@
        "      <td>659366</td>\n",
        "      <td>Waelchi-Fahey</td>\n",
        "      <td>AS-93055</td>\n",
-       "      <td>Shirt</td>\n",
-       "      <td>18</td>\n",
-       "      <td>99.64</td>\n",
-       "      <td>1793.52</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>125.5464</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$125.55</td>\n",
        "      <td>2014-01-03 08:14:27</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>5 rows × 10 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "   account number                           name       sku category  quantity  \\\n",
-       "0          296809                    Carroll PLC  QN-82852     Belt        13   \n",
-       "1           98022              Heidenreich-Bosco  MJ-21460    Shoes        19   \n",
-       "2          563905  Kerluke, Reilly and Bechtelar  AS-93055    Shirt        12   \n",
-       "3           93356                  Waters-Walker  AS-93055    Shirt         5   \n",
-       "4          659366                  Waelchi-Fahey  AS-93055    Shirt        18   \n",
+       "    account number               name       sku         ...          Tax rate  \\\n",
+       "0           296809        Carroll PLC  QN-82852         ...             $0.07   \n",
+       "1            98022  Heidenreich-Bosco  MJ-21460         ...             $0.07   \n",
+       "..             ...                ...       ...         ...               ...   \n",
+       "3            93356      Waters-Walker  AS-93055         ...             $0.07   \n",
+       "4           659366      Waelchi-Fahey  AS-93055         ...             $0.07   \n",
        "\n",
-       "   unit price  ext price  Tax rate  Tax amount                 date  \n",
-       "0       44.48     578.24      0.07     40.4768  2014-09-27 07:13:03  \n",
-       "1       53.62    1018.78      0.07     71.3146  2014-07-29 02:10:44  \n",
-       "2       24.16     289.92      0.07     20.2944  2014-03-01 10:51:24  \n",
-       "3       82.68     413.40      0.07     28.9380  2013-11-17 20:41:11  \n",
-       "4       99.64    1793.52      0.07    125.5464  2014-01-03 08:14:27  "
+       "    Tax amount                 date  \n",
+       "0       $40.48  2014-09-27 07:13:03  \n",
+       "1       $71.31  2014-07-29 02:10:44  \n",
+       "..         ...                  ...  \n",
+       "3       $28.94  2013-11-17 20:41:11  \n",
+       "4      $125.55  2014-01-03 08:14:27  \n",
+       "\n",
+       "[5 rows x 10 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "SALES=pd.read_csv(\"../data/sample-sales-tax.csv\", parse_dates='True')\n",
+    "SALES=pd.read_csv(\"../data/sample-sales-tax.csv\", parse_dates=True)\n",
     "SALES.head()"
    ]
   },
@@ -300,7 +294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 33,
    "metadata": {
     "collapsed": true
    },
@@ -311,16 +305,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 34,
    "metadata": {
-    "collapsed": false,
     "scrolled": false
    },
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -328,10 +334,7 @@
        "      <th>account number</th>\n",
        "      <th>name</th>\n",
        "      <th>sku</th>\n",
-       "      <th>category</th>\n",
-       "      <th>quantity</th>\n",
-       "      <th>unit price</th>\n",
-       "      <th>ext price</th>\n",
+       "      <th>...</th>\n",
        "      <th>Tax rate</th>\n",
        "      <th>Tax amount</th>\n",
        "      <th>date</th>\n",
@@ -343,12 +346,9 @@
        "      <td>296809</td>\n",
        "      <td>Carroll PLC</td>\n",
        "      <td>QN-82852</td>\n",
-       "      <td>Belt</td>\n",
-       "      <td>13</td>\n",
-       "      <td>44.48</td>\n",
-       "      <td>578.24</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>40.4768</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$40.48</td>\n",
        "      <td>2014-09-27 07:13:03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -356,26 +356,26 @@
        "      <td>98022</td>\n",
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>MJ-21460</td>\n",
-       "      <td>Shoes</td>\n",
-       "      <td>19</td>\n",
-       "      <td>53.62</td>\n",
-       "      <td>1018.78</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>71.3146</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$71.31</td>\n",
        "      <td>2014-07-29 02:10:44</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>2 rows × 10 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "   account number               name       sku category  quantity  unit price  \\\n",
-       "0          296809        Carroll PLC  QN-82852     Belt        13       44.48   \n",
-       "1           98022  Heidenreich-Bosco  MJ-21460    Shoes        19       53.62   \n",
+       "   account number               name       sku         ...          Tax rate  \\\n",
+       "0          296809        Carroll PLC  QN-82852         ...             $0.07   \n",
+       "1           98022  Heidenreich-Bosco  MJ-21460         ...             $0.07   \n",
        "\n",
-       "   ext price  Tax rate  Tax amount                 date  \n",
-       "0     578.24      0.07     40.4768  2014-09-27 07:13:03  \n",
-       "1    1018.78      0.07     71.3146  2014-07-29 02:10:44  "
+       "   Tax amount                 date  \n",
+       "0      $40.48  2014-09-27 07:13:03  \n",
+       "1      $71.31  2014-07-29 02:10:44  \n",
+       "\n",
+       "[2 rows x 10 columns]"
       ]
      },
      "metadata": {},
@@ -384,7 +384,20 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -392,10 +405,7 @@
        "      <th>account number</th>\n",
        "      <th>name</th>\n",
        "      <th>sku</th>\n",
-       "      <th>category</th>\n",
-       "      <th>quantity</th>\n",
-       "      <th>unit price</th>\n",
-       "      <th>ext price</th>\n",
+       "      <th>...</th>\n",
        "      <th>Tax rate</th>\n",
        "      <th>Tax amount</th>\n",
        "      <th>date</th>\n",
@@ -407,12 +417,9 @@
        "      <td>304860</td>\n",
        "      <td>Huel-Haag</td>\n",
        "      <td>LL-46261</td>\n",
-       "      <td>Shoes</td>\n",
-       "      <td>9</td>\n",
-       "      <td>98.22</td>\n",
-       "      <td>883.98</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>61.8786</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$61.88</td>\n",
        "      <td>2014-07-26 01:10:57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -420,26 +427,26 @@
        "      <td>98022</td>\n",
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>LW-86841</td>\n",
-       "      <td>Shoes</td>\n",
-       "      <td>14</td>\n",
-       "      <td>74.83</td>\n",
-       "      <td>1047.62</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>73.3334</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$73.33</td>\n",
        "      <td>2014-06-27 05:58:33</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>2 rows × 10 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "     account number               name       sku category  quantity  \\\n",
-       "998          304860          Huel-Haag  LL-46261    Shoes         9   \n",
-       "999           98022  Heidenreich-Bosco  LW-86841    Shoes        14   \n",
+       "     account number               name       sku         ...           \\\n",
+       "998          304860          Huel-Haag  LL-46261         ...            \n",
+       "999           98022  Heidenreich-Bosco  LW-86841         ...            \n",
+       "\n",
+       "    Tax rate  Tax amount                 date  \n",
+       "998    $0.07      $61.88  2014-07-26 01:10:57  \n",
+       "999    $0.07      $73.33  2014-06-27 05:58:33  \n",
        "\n",
-       "     unit price  ext price  Tax rate  Tax amount                 date  \n",
-       "998       98.22     883.98      0.07     61.8786  2014-07-26 01:10:57  \n",
-       "999       74.83    1047.62      0.07     73.3334  2014-06-27 05:58:33  "
+       "[2 rows x 10 columns]"
       ]
      },
      "metadata": {},
@@ -448,7 +455,20 @@
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -464,100 +484,63 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
-       "      <td>1000.000000</td>\n",
-       "      <td>1000.000000</td>\n",
-       "      <td>1000.000000</td>\n",
-       "      <td>1000.00000</td>\n",
-       "      <td>1000.000000</td>\n",
-       "      <td>1000.000000</td>\n",
+       "      <td>$1000.00</td>\n",
+       "      <td>$1000.00</td>\n",
+       "      <td>$1000.00</td>\n",
+       "      <td>$1000.00</td>\n",
+       "      <td>$1000.00</td>\n",
+       "      <td>$1000.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
-       "      <td>535208.897000</td>\n",
-       "      <td>10.328000</td>\n",
-       "      <td>56.179630</td>\n",
-       "      <td>579.84390</td>\n",
-       "      <td>0.035863</td>\n",
-       "      <td>20.058881</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>277589.746014</td>\n",
-       "      <td>5.687597</td>\n",
-       "      <td>25.331939</td>\n",
-       "      <td>435.30381</td>\n",
-       "      <td>0.025598</td>\n",
-       "      <td>22.463583</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>93356.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>10.060000</td>\n",
-       "      <td>10.38000</td>\n",
-       "      <td>0.003000</td>\n",
-       "      <td>0.202050</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>299771.000000</td>\n",
-       "      <td>5.750000</td>\n",
-       "      <td>35.995000</td>\n",
-       "      <td>232.60500</td>\n",
-       "      <td>0.015000</td>\n",
-       "      <td>5.327175</td>\n",
+       "      <td>$535208.90</td>\n",
+       "      <td>$10.33</td>\n",
+       "      <td>$56.18</td>\n",
+       "      <td>$579.84</td>\n",
+       "      <td>$0.04</td>\n",
+       "      <td>$20.06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>563905.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>56.765000</td>\n",
-       "      <td>471.72000</td>\n",
-       "      <td>0.030000</td>\n",
-       "      <td>13.169800</td>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
-       "      <td>750461.000000</td>\n",
-       "      <td>15.000000</td>\n",
-       "      <td>76.802500</td>\n",
-       "      <td>878.13750</td>\n",
-       "      <td>0.040000</td>\n",
-       "      <td>26.302725</td>\n",
+       "      <td>$750461.00</td>\n",
+       "      <td>$15.00</td>\n",
+       "      <td>$76.80</td>\n",
+       "      <td>$878.14</td>\n",
+       "      <td>$0.04</td>\n",
+       "      <td>$26.30</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
-       "      <td>995267.000000</td>\n",
-       "      <td>20.000000</td>\n",
-       "      <td>99.970000</td>\n",
-       "      <td>1994.80000</td>\n",
-       "      <td>0.150000</td>\n",
-       "      <td>191.250000</td>\n",
+       "      <td>$995267.00</td>\n",
+       "      <td>$20.00</td>\n",
+       "      <td>$99.97</td>\n",
+       "      <td>$1994.80</td>\n",
+       "      <td>$0.15</td>\n",
+       "      <td>$191.25</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>8 rows × 6 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "       account number     quantity   unit price   ext price     Tax rate  \\\n",
-       "count     1000.000000  1000.000000  1000.000000  1000.00000  1000.000000   \n",
-       "mean    535208.897000    10.328000    56.179630   579.84390     0.035863   \n",
-       "std     277589.746014     5.687597    25.331939   435.30381     0.025598   \n",
-       "min      93356.000000     1.000000    10.060000    10.38000     0.003000   \n",
-       "25%     299771.000000     5.750000    35.995000   232.60500     0.015000   \n",
-       "50%     563905.000000    10.000000    56.765000   471.72000     0.030000   \n",
-       "75%     750461.000000    15.000000    76.802500   878.13750     0.040000   \n",
-       "max     995267.000000    20.000000    99.970000  1994.80000     0.150000   \n",
+       "       account number  quantity  unit price  ext price  Tax rate  Tax amount\n",
+       "count        $1000.00  $1000.00    $1000.00   $1000.00  $1000.00    $1000.00\n",
+       "mean       $535208.90    $10.33      $56.18    $579.84     $0.04      $20.06\n",
+       "...               ...       ...         ...        ...       ...         ...\n",
+       "75%        $750461.00    $15.00      $76.80    $878.14     $0.04      $26.30\n",
+       "max        $995267.00    $20.00      $99.97   $1994.80     $0.15     $191.25\n",
        "\n",
-       "        Tax amount  \n",
-       "count  1000.000000  \n",
-       "mean     20.058881  \n",
-       "std      22.463583  \n",
-       "min       0.202050  \n",
-       "25%       5.327175  \n",
-       "50%      13.169800  \n",
-       "75%      26.302725  \n",
-       "max     191.250000  "
+       "[8 rows x 6 columns]"
       ]
      },
      "metadata": {},
@@ -588,7 +571,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 35,
    "metadata": {
     "collapsed": true
    },
@@ -599,15 +582,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 36,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -615,10 +609,7 @@
        "      <th>account number</th>\n",
        "      <th>name</th>\n",
        "      <th>sku</th>\n",
-       "      <th>category</th>\n",
-       "      <th>quantity</th>\n",
-       "      <th>unit price</th>\n",
-       "      <th>ext price</th>\n",
+       "      <th>...</th>\n",
        "      <th>Tax rate</th>\n",
        "      <th>Tax amount</th>\n",
        "      <th>date</th>\n",
@@ -630,12 +621,9 @@
        "      <td>296809</td>\n",
        "      <td>Carroll PLC</td>\n",
        "      <td>QN-82852</td>\n",
-       "      <td>Belt</td>\n",
-       "      <td>13</td>\n",
-       "      <td>44.48</td>\n",
-       "      <td>578.24</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>40.4768</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$40.48</td>\n",
        "      <td>2014-09-27 07:13:03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -643,12 +631,9 @@
        "      <td>98022</td>\n",
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>MJ-21460</td>\n",
-       "      <td>Shoes</td>\n",
-       "      <td>19</td>\n",
-       "      <td>53.62</td>\n",
-       "      <td>1018.78</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>71.3146</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$71.31</td>\n",
        "      <td>2014-07-29 02:10:44</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -660,21 +645,15 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>998</th>\n",
        "      <td>304860</td>\n",
        "      <td>Huel-Haag</td>\n",
        "      <td>LL-46261</td>\n",
-       "      <td>Shoes</td>\n",
-       "      <td>9</td>\n",
-       "      <td>98.22</td>\n",
-       "      <td>883.98</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>61.8786</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$61.88</td>\n",
        "      <td>2014-07-26 01:10:57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -682,12 +661,9 @@
        "      <td>98022</td>\n",
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>LW-86841</td>\n",
-       "      <td>Shoes</td>\n",
-       "      <td>14</td>\n",
-       "      <td>74.83</td>\n",
-       "      <td>1047.62</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>73.3334</td>\n",
+       "      <td>...</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$73.33</td>\n",
        "      <td>2014-06-27 05:58:33</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -696,24 +672,24 @@
        "</div>"
       ],
       "text/plain": [
-       "     account number               name       sku category  quantity  \\\n",
-       "0            296809        Carroll PLC  QN-82852     Belt        13   \n",
-       "1             98022  Heidenreich-Bosco  MJ-21460    Shoes        19   \n",
-       "..              ...                ...       ...      ...       ...   \n",
-       "998          304860          Huel-Haag  LL-46261    Shoes         9   \n",
-       "999           98022  Heidenreich-Bosco  LW-86841    Shoes        14   \n",
+       "     account number               name       sku         ...           \\\n",
+       "0            296809        Carroll PLC  QN-82852         ...            \n",
+       "1             98022  Heidenreich-Bosco  MJ-21460         ...            \n",
+       "..              ...                ...       ...         ...            \n",
+       "998          304860          Huel-Haag  LL-46261         ...            \n",
+       "999           98022  Heidenreich-Bosco  LW-86841         ...            \n",
        "\n",
-       "     unit price  ext price  Tax rate  Tax amount                 date  \n",
-       "0         44.48     578.24      0.07     40.4768  2014-09-27 07:13:03  \n",
-       "1         53.62    1018.78      0.07     71.3146  2014-07-29 02:10:44  \n",
-       "..          ...        ...       ...         ...                  ...  \n",
-       "998       98.22     883.98      0.07     61.8786  2014-07-26 01:10:57  \n",
-       "999       74.83    1047.62      0.07     73.3334  2014-06-27 05:58:33  \n",
+       "    Tax rate  Tax amount                 date  \n",
+       "0      $0.07      $40.48  2014-09-27 07:13:03  \n",
+       "1      $0.07      $71.31  2014-07-29 02:10:44  \n",
+       "..       ...         ...                  ...  \n",
+       "998    $0.07      $61.88  2014-07-26 01:10:57  \n",
+       "999    $0.07      $73.33  2014-06-27 05:58:33  \n",
        "\n",
        "[1000 rows x 10 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -731,7 +707,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 37,
    "metadata": {
     "collapsed": true
    },
@@ -742,15 +718,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 38,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -771,8 +758,8 @@
        "      <td>Carroll PLC</td>\n",
        "      <td>QN-82852</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>40.4768</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$40.48</td>\n",
        "      <td>2014-09-27 07:13:03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -781,8 +768,8 @@
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>MJ-21460</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>71.3146</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$71.31</td>\n",
        "      <td>2014-07-29 02:10:44</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -801,8 +788,8 @@
        "      <td>Huel-Haag</td>\n",
        "      <td>LL-46261</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>61.8786</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$61.88</td>\n",
        "      <td>2014-07-26 01:10:57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -811,8 +798,8 @@
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>LW-86841</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>73.3334</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$73.33</td>\n",
        "      <td>2014-06-27 05:58:33</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -829,16 +816,16 @@
        "999           98022  Heidenreich-Bosco  LW-86841         ...            \n",
        "\n",
        "    Tax rate  Tax amount                 date  \n",
-       "0       0.07     40.4768  2014-09-27 07:13:03  \n",
-       "1       0.07     71.3146  2014-07-29 02:10:44  \n",
+       "0      $0.07      $40.48  2014-09-27 07:13:03  \n",
+       "1      $0.07      $71.31  2014-07-29 02:10:44  \n",
        "..       ...         ...                  ...  \n",
-       "998     0.07     61.8786  2014-07-26 01:10:57  \n",
-       "999     0.07     73.3334  2014-06-27 05:58:33  \n",
+       "998    $0.07      $61.88  2014-07-26 01:10:57  \n",
+       "999    $0.07      $73.33  2014-06-27 05:58:33  \n",
        "\n",
        "[1000 rows x 10 columns]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -856,7 +843,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 39,
    "metadata": {
     "collapsed": true
    },
@@ -867,15 +854,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 40,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -896,8 +894,8 @@
        "      <td>Carroll PLC</td>\n",
        "      <td>QN-82852</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.1</td>\n",
-       "      <td>40.5</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$40.48</td>\n",
        "      <td>2014-09-27 07:13:03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -906,8 +904,8 @@
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>MJ-21460</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.1</td>\n",
-       "      <td>71.3</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$71.31</td>\n",
        "      <td>2014-07-29 02:10:44</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -926,8 +924,8 @@
        "      <td>Huel-Haag</td>\n",
        "      <td>LL-46261</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.1</td>\n",
-       "      <td>61.9</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$61.88</td>\n",
        "      <td>2014-07-26 01:10:57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -936,8 +934,8 @@
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>LW-86841</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.1</td>\n",
-       "      <td>73.3</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$73.33</td>\n",
        "      <td>2014-06-27 05:58:33</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -954,16 +952,16 @@
        "999           98022  Heidenreich-Bosco  LW-86841         ...            \n",
        "\n",
        "    Tax rate  Tax amount                 date  \n",
-       "0        0.1        40.5  2014-09-27 07:13:03  \n",
-       "1        0.1        71.3  2014-07-29 02:10:44  \n",
+       "0      $0.07      $40.48  2014-09-27 07:13:03  \n",
+       "1      $0.07      $71.31  2014-07-29 02:10:44  \n",
        "..       ...         ...                  ...  \n",
-       "998      0.1        61.9  2014-07-26 01:10:57  \n",
-       "999      0.1        73.3  2014-06-27 05:58:33  \n",
+       "998    $0.07      $61.88  2014-07-26 01:10:57  \n",
+       "999    $0.07      $73.33  2014-06-27 05:58:33  \n",
        "\n",
        "[1000 rows x 10 columns]"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -974,7 +972,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 41,
    "metadata": {
     "collapsed": true
    },
@@ -985,15 +983,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 42,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1014,8 +1023,8 @@
        "      <td>Carroll PLC</td>\n",
        "      <td>QN-82852</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>40.4768</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$40.48</td>\n",
        "      <td>2014-09-27 07:13:03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1024,8 +1033,8 @@
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>MJ-21460</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>71.3146</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$71.31</td>\n",
        "      <td>2014-07-29 02:10:44</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1044,8 +1053,8 @@
        "      <td>Huel-Haag</td>\n",
        "      <td>LL-46261</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>61.8786</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$61.88</td>\n",
        "      <td>2014-07-26 01:10:57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1054,8 +1063,8 @@
        "      <td>Heidenreich-Bosco</td>\n",
        "      <td>LW-86841</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>73.3334</td>\n",
+       "      <td>$0.07</td>\n",
+       "      <td>$73.33</td>\n",
        "      <td>2014-06-27 05:58:33</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1072,16 +1081,16 @@
        "999           98022  Heidenreich-Bosco  LW-86841         ...            \n",
        "\n",
        "    Tax rate  Tax amount                 date  \n",
-       "0       0.07     40.4768  2014-09-27 07:13:03  \n",
-       "1       0.07     71.3146  2014-07-29 02:10:44  \n",
+       "0      $0.07      $40.48  2014-09-27 07:13:03  \n",
+       "1      $0.07      $71.31  2014-07-29 02:10:44  \n",
        "..       ...         ...                  ...  \n",
-       "998     0.07     61.8786  2014-07-26 01:10:57  \n",
-       "999     0.07     73.3334  2014-06-27 05:58:33  \n",
+       "998    $0.07      $61.88  2014-07-26 01:10:57  \n",
+       "999    $0.07      $73.33  2014-06-27 05:58:33  \n",
        "\n",
        "[1000 rows x 10 columns]"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1099,7 +1108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 43,
    "metadata": {
     "collapsed": true
    },
@@ -1110,15 +1119,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 44,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1206,7 +1226,7 @@
        "[1000 rows x 10 columns]"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1224,7 +1244,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 45,
    "metadata": {
     "collapsed": true
    },
@@ -1235,15 +1255,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 46,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -1331,7 +1362,7 @@
        "[1000 rows x 10 columns]"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1358,14 +1389,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 47,
    "metadata": {
     "collapsed": true
    },
    "outputs": [],
    "source": [
     "import qgrid\n",
-    "qgrid.nbinstall()"
+    "qgrid.nbinstall(overwrite=True)"
    ]
   },
   {
@@ -1377,91 +1408,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 49,
+   "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/html": [
-       "<script type=\"text/javascript\">\n",
-       "if ($(\"#dg-css\").length == 0){\n",
-       "    $(\"head\").append([\n",
-       "        \"<link href='https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//lib/slick.grid.css' rel='stylesheet'>\",\n",
-       "        \"<link href='https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//lib/slick-default-theme.css' rel='stylesheet'>\",\n",
-       "        \"<link href='http://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.10.4/css/jquery-ui.min.css' rel='stylesheet'>\",\n",
-       "        \"<link id='dg-css' href='https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//qgrid.css' rel='stylesheet'>\"\n",
-       "    ]);\n",
-       "}\n",
-       "</script>\n",
-       "<div class='q-grid-container'>\n",
-       "<div id='4e21e831-b5b6-4a04-ab60-c400cede4c9e' class='q-grid'></div>\n",
-       "</div>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Widget Javascript not detected.  It may not be installed or enabled properly.\n"
+     ]
     },
     {
      "data": {
-      "application/javascript": [
-       "var path_dictionary = {\n",
-       "    jquery_drag: \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//lib/jquery.event.drag-2.2\",\n",
-       "    slick_core: \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//lib/slick.core.2.2\",\n",
-       "    slick_data_view: \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//lib/slick.dataview.2.2\",\n",
-       "    slick_check_box_column: \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//lib/slick.checkboxselectcolumn\",\n",
-       "    slick_row_selection_model: \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//lib/slick.rowselectionmodel\",\n",
-       "    slick_grid: \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//lib/slick.grid.2.2\",\n",
-       "    data_grid: \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//qgrid\",\n",
-       "    date_filter: \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//qgrid.datefilter\",\n",
-       "    slider_filter: \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//qgrid.sliderfilter\",\n",
-       "    text_filter: \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//qgrid.textfilter\",\n",
-       "    filter_base:  \"https://cdn.rawgit.com/quantopian/qgrid/ddf33c0efb813cd574f3838f6cf1fd584b733621/qgrid/qgridjs//qgrid.filterbase\",\n",
-       "    handlebars: \"https://cdnjs.cloudflare.com/ajax/libs/handlebars.js/2.0.0/handlebars.min\"\n",
-       "};\n",
-       "\n",
-       "var existing_config = require.s.contexts._.config;\n",
-       "if (!existing_config.paths['underscore']){\n",
-       "    path_dictionary['underscore'] = \"https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.7.0/underscore-min\";\n",
-       "}\n",
-       "\n",
-       "if (!existing_config.paths['moment']){\n",
-       "    path_dictionary['moment'] = \"https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.8.3/moment.min\";\n",
-       "}\n",
-       "\n",
-       "if (!existing_config.paths['jqueryui']){\n",
-       "    path_dictionary['jqueryui'] = \"https://ajax.googleapis.com/ajax/libs/jqueryui/1.11.1/jquery-ui.min\";\n",
-       "}\n",
-       "\n",
-       "require.config({\n",
-       "    paths: path_dictionary\n",
-       "});\n",
-       "\n",
-       "if (typeof jQuery === 'function') {\n",
-       "    define('jquery', function() { return jQuery; });\n",
-       "}\n",
-       "\n",
-       "require([\n",
-       "    'jquery',\n",
-       "    'jquery_drag',\n",
-       "    'slick_core',\n",
-       "    'slick_data_view'\n",
-       "],\n",
-       "function($){\n",
-       "    $('#4e21e831-b5b6-4a04-ab60-c400cede4c9e').closest('.rendered_html').removeClass('rendered_html');\n",
-       "    require([\n",
-       "      'slick_check_box_column',\n",
-       "      'slick_row_selection_model',\n",
-       "      'slick_grid'\n",
-       "    ], function(){\n",
-       "        require([\"data_grid\"], function(dgrid){\n",
-       "            var grid = new dgrid.QGrid('#4e21e831-b5b6-4a04-ab60-c400cede4c9e', [{\"null\":0,\"account number\":296809,\"name\":\"Carroll PLC\",\"sku\":\"QN-82852\",\"category\":\"Belt\",\"quantity\":13,\"unit price\":44.48,\"ext price\":578.24,\"Tax rate\":0.07,\"Tax amount\":40.4768,\"date\":\"2014-09-27 07:13:03\"},{\"null\":1,\"account number\":98022,\"name\":\"Heidenreich-Bosco\",\"sku\":\"MJ-21460\",\"category\":\"Shoes\",\"quantity\":19,\"unit price\":53.62,\"ext price\":1018.78,\"Tax rate\":0.07,\"Tax amount\":71.3146,\"date\":\"2014-07-29 02:10:44\"},{\"null\":2,\"account number\":563905,\"name\":\"Kerluke, Reilly and Bechtelar\",\"sku\":\"AS-93055\",\"category\":\"Shirt\",\"quantity\":12,\"unit price\":24.16,\"ext price\":289.92,\"Tax rate\":0.07,\"Tax amount\":20.2944,\"date\":\"2014-03-01 10:51:24\"},{\"null\":3,\"account number\":93356,\"name\":\"Waters-Walker\",\"sku\":\"AS-93055\",\"category\":\"Shirt\",\"quantity\":5,\"unit price\":82.68,\"ext price\":413.4,\"Tax rate\":0.07,\"Tax amount\":28.938,\"date\":\"2013-11-17 20:41:11\"},{\"null\":4,\"account number\":659366,\"name\":\"Waelchi-Fahey\",\"sku\":\"AS-93055\",\"category\":\"Shirt\",\"quantity\":18,\"unit price\":99.64,\"ext price\":1793.52,\"Tax rate\":0.07,\"Tax amount\":125.5464,\"date\":\"2014-01-03 08:14:27\"},{\"null\":5,\"account number\":563905,\"name\":\"Kerluke, Reilly and Bechtelar\",\"sku\":\"AS-93055\",\"category\":\"Shirt\",\"quantity\":17,\"unit price\":52.82,\"ext price\":897.94,\"Tax rate\":0.07,\"Tax amount\":62.8558,\"date\":\"2013-12-04 02:07:05\"},{\"null\":6,\"account number\":995267,\"name\":\"Cole-Eichmann\",\"sku\":\"GS-86623\",\"category\":\"Shoes\",\"quantity\":18,\"unit price\":15.28,\"ext price\":275.04,\"Tax rate\":0.07,\"Tax amount\":19.2528,\"date\":\"2014-04-09 16:15:03\"},{\"null\":7,\"account number\":524021,\"name\":\"Hegmann and Sons\",\"sku\":\"LL-46261\",\"category\":\"Shoes\",\"quantity\":7,\"unit price\":78.78,\"ext price\":551.46,\"Tax rate\":0.07,\"Tax amount\":38.6022,\"date\":\"2014-06-18 19:25:10\"},{\"null\":8,\"account number\":929400,\"name\":\"Senger, Upton and Breitenberg\",\"sku\":\"LW-86841\",\"category\":\"Shoes\",\"quantity\":17,\"unit price\":38.19,\"ext price\":649.23,\"Tax rate\":0.015,\"Tax amount\":9.73845,\"date\":\"2014-02-10 05:55:56\"},{\"null\":9,\"account number\":563905,\"name\":\"Kerluke, Reilly and Bechtelar\",\"sku\":\"KV-99194\",\"category\":\"Shirt\",\"quantity\":12,\"unit price\":26.98,\"ext price\":323.76,\"Tax rate\":0.015,\"Tax amount\":4.8564,\"date\":\"2014-05-20 00:21:28\"},{\"null\":10,\"account number\":995267,\"name\":\"Cole-Eichmann\",\"sku\":\"KV-99194\",\"category\":\"Shirt\",\"quantity\":19,\"unit price\":60.22,\"ext price\":1144.18,\"Tax rate\":0.015,\"Tax amount\":17.1627,\"date\":\"2014-03-10 06:23:31\"},{\"null\":11,\"account number\":524021,\"name\":\"Hegmann and Sons\",\"sku\":\"QN-82852\",\"category\":\"Belt\",\"quantity\":6,\"unit price\":13.12,\"ext price\":78.72,\"Tax rate\":0.015,\"Tax amount\":1.1808,\"date\":\"2013-11-03 18:38:16\"},{\"null\":12,\"account number\":758133,\"name\":\"Kihn, McClure and Denesik\",\"sku\":\"LL-46261\",\"category\":\"Shoes\",\"quantity\":4,\"unit price\":59.69,\"ext price\":238.76,\"Tax rate\":0.015,\"Tax amount\":3.5814,\"date\":\"2014-01-11 21:48:28\"},{\"null\":13,\"account number\":555594,\"name\":\"Ernser, Cruickshank and Lind\",\"sku\":\"FK-71853\",\"category\":\"Shirt\",\"quantity\":12,\"unit price\":97.25,\"ext price\":1167.0,\"Tax rate\":0.015,\"Tax amount\":17.505,\"date\":\"2014-09-19 13:20:00\"},{\"null\":14,\"account number\":201259,\"name\":\"Koelpin PLC\",\"sku\":\"GS-86623\",\"category\":\"Shoes\",\"quantity\":9,\"unit price\":81.44,\"ext price\":732.96,\"Tax rate\":0.015,\"Tax amount\":10.9944,\"date\":\"2014-08-12 08:05:27\"},{\"null\":15,\"account number\":93356,\"name\":\"Waters-Walker\",\"sku\":\"LL-46261\",\"category\":\"Shoes\",\"quantity\":18,\"unit 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-       "            grid.initialize_slick_grid();\n",
-       "        });\n",
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-       "});\n"
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+      "application/vnd.jupyter.widget-view+json": {
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@@ -1497,9 +1458,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
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@@ -1537,9 +1496,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "plt.style.use('ggplot')"
@@ -1548,9 +1505,7 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1587,9 +1542,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1620,9 +1573,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1663,9 +1614,7 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1709,23 +1658,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }
diff --git a/notebooks/March-2017-forecast.xlsx b/notebooks/March-2017-forecast.xlsx
new file mode 100644
index 0000000..76080c5
Binary files /dev/null and b/notebooks/March-2017-forecast.xlsx differ
diff --git a/notebooks/Market_Basket_Intro.ipynb b/notebooks/Market_Basket_Intro.ipynb
new file mode 100644
index 0000000..6e72d42
--- /dev/null
+++ b/notebooks/Market_Basket_Intro.ipynb
@@ -0,0 +1,1989 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Market Basket Analysis Introduction\n",
+    "\n",
+    "Companion notebook to http://pbpython.com/market-basket-analysis.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from mlxtend.frequent_patterns import apriori\n",
+    "from mlxtend.frequent_patterns import association_rules"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "df = pd.read_excel('http://archive.ics.uci.edu/ml/machine-learning-databases/00352/Online%20Retail.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>InvoiceNo</th>\n",
+       "      <th>StockCode</th>\n",
+       "      <th>Description</th>\n",
+       "      <th>Quantity</th>\n",
+       "      <th>InvoiceDate</th>\n",
+       "      <th>UnitPrice</th>\n",
+       "      <th>CustomerID</th>\n",
+       "      <th>Country</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>536365</td>\n",
+       "      <td>85123A</td>\n",
+       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2010-12-01 08:26:00</td>\n",
+       "      <td>2.55</td>\n",
+       "      <td>17850.0</td>\n",
+       "      <td>United Kingdom</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>536365</td>\n",
+       "      <td>71053</td>\n",
+       "      <td>WHITE METAL LANTERN</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2010-12-01 08:26:00</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>17850.0</td>\n",
+       "      <td>United Kingdom</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>536365</td>\n",
+       "      <td>84406B</td>\n",
+       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2010-12-01 08:26:00</td>\n",
+       "      <td>2.75</td>\n",
+       "      <td>17850.0</td>\n",
+       "      <td>United Kingdom</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>536365</td>\n",
+       "      <td>84029G</td>\n",
+       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2010-12-01 08:26:00</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>17850.0</td>\n",
+       "      <td>United Kingdom</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>536365</td>\n",
+       "      <td>84029E</td>\n",
+       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2010-12-01 08:26:00</td>\n",
+       "      <td>3.39</td>\n",
+       "      <td>17850.0</td>\n",
+       "      <td>United Kingdom</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  InvoiceNo StockCode                          Description  Quantity  \\\n",
+       "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
+       "1    536365     71053                  WHITE METAL LANTERN         6   \n",
+       "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
+       "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
+       "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
+       "\n",
+       "          InvoiceDate  UnitPrice  CustomerID         Country  \n",
+       "0 2010-12-01 08:26:00       2.55     17850.0  United Kingdom  \n",
+       "1 2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n",
+       "2 2010-12-01 08:26:00       2.75     17850.0  United Kingdom  \n",
+       "3 2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n",
+       "4 2010-12-01 08:26:00       3.39     17850.0  United Kingdom  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Clean up spaces in description and remove any rows that don't have a valid invoice\n",
+    "df['Description'] = df['Description'].str.strip()\n",
+    "df.dropna(axis=0, subset=['InvoiceNo'], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "df['InvoiceNo'] = df['InvoiceNo'].astype('str')\n",
+    "df = df[~df['InvoiceNo'].str.contains('C')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "basket = (df[df['Country'] ==\"France\"]\n",
+    "          .groupby(['InvoiceNo', 'Description'])['Quantity']\n",
+    "          .sum().unstack().reset_index().fillna(0)\n",
+    "          .set_index('InvoiceNo'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>Description</th>\n",
+       "      <th>10 COLOUR SPACEBOY PEN</th>\n",
+       "      <th>12 COLOURED PARTY BALLOONS</th>\n",
+       "      <th>12 EGG HOUSE PAINTED WOOD</th>\n",
+       "      <th>12 MESSAGE CARDS WITH ENVELOPES</th>\n",
+       "      <th>12 PENCIL SMALL TUBE WOODLAND</th>\n",
+       "      <th>12 PENCILS SMALL TUBE RED RETROSPOT</th>\n",
+       "      <th>12 PENCILS SMALL TUBE SKULL</th>\n",
+       "      <th>12 PENCILS TALL TUBE POSY</th>\n",
+       "      <th>12 PENCILS TALL TUBE RED RETROSPOT</th>\n",
+       "      <th>12 PENCILS TALL TUBE WOODLAND</th>\n",
+       "      <th>...</th>\n",
+       "      <th>WRAP VINTAGE PETALS  DESIGN</th>\n",
+       "      <th>YELLOW COAT RACK PARIS FASHION</th>\n",
+       "      <th>YELLOW GIANT GARDEN THERMOMETER</th>\n",
+       "      <th>YELLOW SHARK HELICOPTER</th>\n",
+       "      <th>ZINC  STAR T-LIGHT HOLDER</th>\n",
+       "      <th>ZINC FOLKART SLEIGH BELLS</th>\n",
+       "      <th>ZINC HERB GARDEN CONTAINER</th>\n",
+       "      <th>ZINC METAL HEART DECORATION</th>\n",
+       "      <th>ZINC T-LIGHT HOLDER STAR LARGE</th>\n",
+       "      <th>ZINC T-LIGHT HOLDER STARS SMALL</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>InvoiceNo</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>536370</th>\n",
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+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 1563 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Description  10 COLOUR SPACEBOY PEN  12 COLOURED PARTY BALLOONS  \\\n",
+       "InvoiceNo                                                         \n",
+       "536370                          0.0                         0.0   \n",
+       "536852                          0.0                         0.0   \n",
+       "536974                          0.0                         0.0   \n",
+       "537065                          0.0                         0.0   \n",
+       "537463                          0.0                         0.0   \n",
+       "\n",
+       "Description  12 EGG HOUSE PAINTED WOOD  12 MESSAGE CARDS WITH ENVELOPES  \\\n",
+       "InvoiceNo                                                                 \n",
+       "536370                             0.0                              0.0   \n",
+       "536852                             0.0                              0.0   \n",
+       "536974                             0.0                              0.0   \n",
+       "537065                             0.0                              0.0   \n",
+       "537463                             0.0                              0.0   \n",
+       "\n",
+       "Description  12 PENCIL SMALL TUBE WOODLAND  \\\n",
+       "InvoiceNo                                    \n",
+       "536370                                 0.0   \n",
+       "536852                                 0.0   \n",
+       "536974                                 0.0   \n",
+       "537065                                 0.0   \n",
+       "537463                                 0.0   \n",
+       "\n",
+       "Description  12 PENCILS SMALL TUBE RED RETROSPOT  12 PENCILS SMALL TUBE SKULL  \\\n",
+       "InvoiceNo                                                                       \n",
+       "536370                                       0.0                          0.0   \n",
+       "536852                                       0.0                          0.0   \n",
+       "536974                                       0.0                          0.0   \n",
+       "537065                                       0.0                          0.0   \n",
+       "537463                                       0.0                          0.0   \n",
+       "\n",
+       "Description  12 PENCILS TALL TUBE POSY  12 PENCILS TALL TUBE RED RETROSPOT  \\\n",
+       "InvoiceNo                                                                    \n",
+       "536370                             0.0                                 0.0   \n",
+       "536852                             0.0                                 0.0   \n",
+       "536974                             0.0                                 0.0   \n",
+       "537065                             0.0                                 0.0   \n",
+       "537463                             0.0                                 0.0   \n",
+       "\n",
+       "Description  12 PENCILS TALL TUBE WOODLAND               ...                 \\\n",
+       "InvoiceNo                                                ...                  \n",
+       "536370                                 0.0               ...                  \n",
+       "536852                                 0.0               ...                  \n",
+       "536974                                 0.0               ...                  \n",
+       "537065                                 0.0               ...                  \n",
+       "537463                                 0.0               ...                  \n",
+       "\n",
+       "Description  WRAP VINTAGE PETALS  DESIGN  YELLOW COAT RACK PARIS FASHION  \\\n",
+       "InvoiceNo                                                                  \n",
+       "536370                               0.0                             0.0   \n",
+       "536852                               0.0                             0.0   \n",
+       "536974                               0.0                             0.0   \n",
+       "537065                               0.0                             0.0   \n",
+       "537463                               0.0                             0.0   \n",
+       "\n",
+       "Description  YELLOW GIANT GARDEN THERMOMETER  YELLOW SHARK HELICOPTER  \\\n",
+       "InvoiceNo                                                               \n",
+       "536370                                   0.0                      0.0   \n",
+       "536852                                   0.0                      0.0   \n",
+       "536974                                   0.0                      0.0   \n",
+       "537065                                   0.0                      0.0   \n",
+       "537463                                   0.0                      0.0   \n",
+       "\n",
+       "Description  ZINC  STAR T-LIGHT HOLDER  ZINC FOLKART SLEIGH BELLS  \\\n",
+       "InvoiceNo                                                           \n",
+       "536370                             0.0                        0.0   \n",
+       "536852                             0.0                        0.0   \n",
+       "536974                             0.0                        0.0   \n",
+       "537065                             0.0                        0.0   \n",
+       "537463                             0.0                        0.0   \n",
+       "\n",
+       "Description  ZINC HERB GARDEN CONTAINER  ZINC METAL HEART DECORATION  \\\n",
+       "InvoiceNo                                                              \n",
+       "536370                              0.0                          0.0   \n",
+       "536852                              0.0                          0.0   \n",
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+       "\n",
+       "Description  ZINC T-LIGHT HOLDER STAR LARGE  ZINC T-LIGHT HOLDER STARS SMALL  \n",
+       "InvoiceNo                                                                     \n",
+       "536370                                  0.0                              0.0  \n",
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+       "\n",
+       "[5 rows x 1563 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "basket.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "      <th>12 COLOURED PARTY BALLOONS</th>\n",
+       "      <th>12 EGG HOUSE PAINTED WOOD</th>\n",
+       "      <th>12 MESSAGE CARDS WITH ENVELOPES</th>\n",
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+      "text/plain": [
+       "Description  10 COLOUR SPACEBOY PEN  12 COLOURED PARTY BALLOONS  \\\n",
+       "InvoiceNo                                                         \n",
+       "536370                          0.0                         0.0   \n",
+       "536852                          0.0                         0.0   \n",
+       "536974                          0.0                         0.0   \n",
+       "537065                          0.0                         0.0   \n",
+       "537463                          0.0                         0.0   \n",
+       "\n",
+       "Description  12 EGG HOUSE PAINTED WOOD  12 MESSAGE CARDS WITH ENVELOPES  \\\n",
+       "InvoiceNo                                                                 \n",
+       "536370                             0.0                              0.0   \n",
+       "536852                             0.0                              0.0   \n",
+       "536974                             0.0                              0.0   \n",
+       "537065                             0.0                              0.0   \n",
+       "537463                             0.0                              0.0   \n",
+       "\n",
+       "Description  12 PENCIL SMALL TUBE WOODLAND  \\\n",
+       "InvoiceNo                                    \n",
+       "536370                                 0.0   \n",
+       "536852                                 0.0   \n",
+       "536974                                 0.0   \n",
+       "537065                                 0.0   \n",
+       "537463                                 0.0   \n",
+       "\n",
+       "Description  12 PENCILS SMALL TUBE RED RETROSPOT  12 PENCILS SMALL TUBE SKULL  \\\n",
+       "InvoiceNo                                                                       \n",
+       "536370                                       0.0                          0.0   \n",
+       "536852                                       0.0                          0.0   \n",
+       "536974                                       0.0                          0.0   \n",
+       "537065                                       0.0                          0.0   \n",
+       "537463                                       0.0                          0.0   \n",
+       "\n",
+       "Description  12 PENCILS TALL TUBE POSY  \n",
+       "InvoiceNo                               \n",
+       "536370                             0.0  \n",
+       "536852                             0.0  \n",
+       "536974                             0.0  \n",
+       "537065                             0.0  \n",
+       "537463                             0.0  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Show a subset of columns\n",
+    "basket.iloc[:,[0,1,2,3,4,5,6, 7]].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Convert the units to 1 hot encoded values\n",
+    "def encode_units(x):\n",
+    "    if x <= 0:\n",
+    "        return 0\n",
+    "    if x >= 1:\n",
+    "        return 1    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "basket_sets = basket.applymap(encode_units)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# No need to track postage\n",
+    "basket_sets.drop('POSTAGE', inplace=True, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
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+       "</table>\n",
+       "<p>5 rows × 1562 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Description  10 COLOUR SPACEBOY PEN  12 COLOURED PARTY BALLOONS  \\\n",
+       "InvoiceNo                                                         \n",
+       "536370                            0                           0   \n",
+       "536852                            0                           0   \n",
+       "536974                            0                           0   \n",
+       "537065                            0                           0   \n",
+       "537463                            0                           0   \n",
+       "\n",
+       "Description  12 EGG HOUSE PAINTED WOOD  12 MESSAGE CARDS WITH ENVELOPES  \\\n",
+       "InvoiceNo                                                                 \n",
+       "536370                               0                                0   \n",
+       "536852                               0                                0   \n",
+       "536974                               0                                0   \n",
+       "537065                               0                                0   \n",
+       "537463                               0                                0   \n",
+       "\n",
+       "Description  12 PENCIL SMALL TUBE WOODLAND  \\\n",
+       "InvoiceNo                                    \n",
+       "536370                                   0   \n",
+       "536852                                   0   \n",
+       "536974                                   0   \n",
+       "537065                                   0   \n",
+       "537463                                   0   \n",
+       "\n",
+       "Description  12 PENCILS SMALL TUBE RED RETROSPOT  12 PENCILS SMALL TUBE SKULL  \\\n",
+       "InvoiceNo                                                                       \n",
+       "536370                                         0                            0   \n",
+       "536852                                         0                            0   \n",
+       "536974                                         0                            0   \n",
+       "537065                                         0                            0   \n",
+       "537463                                         0                            0   \n",
+       "\n",
+       "Description  12 PENCILS TALL TUBE POSY  12 PENCILS TALL TUBE RED RETROSPOT  \\\n",
+       "InvoiceNo                                                                    \n",
+       "536370                               0                                   0   \n",
+       "536852                               0                                   0   \n",
+       "536974                               0                                   0   \n",
+       "537065                               0                                   0   \n",
+       "537463                               0                                   0   \n",
+       "\n",
+       "Description  12 PENCILS TALL TUBE WOODLAND               ...                 \\\n",
+       "InvoiceNo                                                ...                  \n",
+       "536370                                   0               ...                  \n",
+       "536852                                   0               ...                  \n",
+       "536974                                   0               ...                  \n",
+       "537065                                   0               ...                  \n",
+       "537463                                   0               ...                  \n",
+       "\n",
+       "Description  WRAP VINTAGE PETALS  DESIGN  YELLOW COAT RACK PARIS FASHION  \\\n",
+       "InvoiceNo                                                                  \n",
+       "536370                                 0                               0   \n",
+       "536852                                 0                               0   \n",
+       "536974                                 0                               0   \n",
+       "537065                                 0                               0   \n",
+       "537463                                 0                               0   \n",
+       "\n",
+       "Description  YELLOW GIANT GARDEN THERMOMETER  YELLOW SHARK HELICOPTER  \\\n",
+       "InvoiceNo                                                               \n",
+       "536370                                     0                        0   \n",
+       "536852                                     0                        0   \n",
+       "536974                                     0                        0   \n",
+       "537065                                     0                        0   \n",
+       "537463                                     0                        0   \n",
+       "\n",
+       "Description  ZINC  STAR T-LIGHT HOLDER  ZINC FOLKART SLEIGH BELLS  \\\n",
+       "InvoiceNo                                                           \n",
+       "536370                               0                          0   \n",
+       "536852                               0                          0   \n",
+       "536974                               0                          0   \n",
+       "537065                               0                          0   \n",
+       "537463                               0                          0   \n",
+       "\n",
+       "Description  ZINC HERB GARDEN CONTAINER  ZINC METAL HEART DECORATION  \\\n",
+       "InvoiceNo                                                              \n",
+       "536370                                0                            0   \n",
+       "536852                                0                            0   \n",
+       "536974                                0                            0   \n",
+       "537065                                0                            0   \n",
+       "537463                                0                            0   \n",
+       "\n",
+       "Description  ZINC T-LIGHT HOLDER STAR LARGE  ZINC T-LIGHT HOLDER STARS SMALL  \n",
+       "InvoiceNo                                                                     \n",
+       "536370                                    0                                0  \n",
+       "536852                                    0                                0  \n",
+       "536974                                    0                                0  \n",
+       "537065                                    0                                0  \n",
+       "537463                                    0                                0  \n",
+       "\n",
+       "[5 rows x 1562 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "basket_sets.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Build up the frequent items\n",
+    "frequent_itemsets = apriori(basket_sets, min_support=0.07, use_colnames=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
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+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>support</th>\n",
+       "      <th>itemsets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.071429</td>\n",
+       "      <td>[4 TRADITIONAL SPINNING TOPS]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.096939</td>\n",
+       "      <td>[ALARM CLOCK BAKELIKE GREEN]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.102041</td>\n",
+       "      <td>[ALARM CLOCK BAKELIKE PINK]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.094388</td>\n",
+       "      <td>[ALARM CLOCK BAKELIKE RED]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.081633</td>\n",
+       "      <td>[BAKING SET 9 PIECE RETROSPOT]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    support                        itemsets\n",
+       "0  0.071429   [4 TRADITIONAL SPINNING TOPS]\n",
+       "1  0.096939    [ALARM CLOCK BAKELIKE GREEN]\n",
+       "2  0.102041     [ALARM CLOCK BAKELIKE PINK]\n",
+       "3  0.094388      [ALARM CLOCK BAKELIKE RED]\n",
+       "4  0.081633  [BAKING SET 9 PIECE RETROSPOT]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "frequent_itemsets.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>antecedants</th>\n",
+       "      <th>consequents</th>\n",
+       "      <th>support</th>\n",
+       "      <th>confidence</th>\n",
+       "      <th>lift</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>0.168367</td>\n",
+       "      <td>0.606061</td>\n",
+       "      <td>3.545907</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>0.170918</td>\n",
+       "      <td>0.597015</td>\n",
+       "      <td>3.545907</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>(ALARM CLOCK BAKELIKE PINK)</td>\n",
+       "      <td>(ALARM CLOCK BAKELIKE GREEN)</td>\n",
+       "      <td>0.102041</td>\n",
+       "      <td>0.725000</td>\n",
+       "      <td>7.478947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>(ALARM CLOCK BAKELIKE GREEN)</td>\n",
+       "      <td>(ALARM CLOCK BAKELIKE PINK)</td>\n",
+       "      <td>0.096939</td>\n",
+       "      <td>0.763158</td>\n",
+       "      <td>7.478947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
+       "      <td>0.127551</td>\n",
+       "      <td>0.960000</td>\n",
+       "      <td>6.968889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
+       "      <td>0.137755</td>\n",
+       "      <td>0.888889</td>\n",
+       "      <td>6.968889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS, SET/20 RED RETRO...</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
+       "      <td>0.102041</td>\n",
+       "      <td>0.975000</td>\n",
+       "      <td>7.644000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES, SET/6 RED SPOT...</td>\n",
+       "      <td>(SET/20 RED RETROSPOT PAPER NAPKINS)</td>\n",
+       "      <td>0.122449</td>\n",
+       "      <td>0.812500</td>\n",
+       "      <td>6.125000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES, SET/20 RED RET...</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
+       "      <td>0.102041</td>\n",
+       "      <td>0.975000</td>\n",
+       "      <td>7.077778</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES, SET/20 RED RET...</td>\n",
+       "      <td>0.137755</td>\n",
+       "      <td>0.722222</td>\n",
+       "      <td>7.077778</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>(SET/20 RED RETROSPOT PAPER NAPKINS)</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES, SET/6 RED SPOT...</td>\n",
+       "      <td>0.132653</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>6.125000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS, SET/20 RED RETRO...</td>\n",
+       "      <td>0.127551</td>\n",
+       "      <td>0.780000</td>\n",
+       "      <td>7.644000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
+       "      <td>0.168367</td>\n",
+       "      <td>0.530303</td>\n",
+       "      <td>3.849607</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>0.137755</td>\n",
+       "      <td>0.648148</td>\n",
+       "      <td>3.849607</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
+       "      <td>0.170918</td>\n",
+       "      <td>0.611940</td>\n",
+       "      <td>4.442233</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>0.137755</td>\n",
+       "      <td>0.759259</td>\n",
+       "      <td>4.442233</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>(ALARM CLOCK BAKELIKE PINK)</td>\n",
+       "      <td>(ALARM CLOCK BAKELIKE RED)</td>\n",
+       "      <td>0.102041</td>\n",
+       "      <td>0.725000</td>\n",
+       "      <td>7.681081</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>(ALARM CLOCK BAKELIKE RED)</td>\n",
+       "      <td>(ALARM CLOCK BAKELIKE PINK)</td>\n",
+       "      <td>0.094388</td>\n",
+       "      <td>0.783784</td>\n",
+       "      <td>7.681081</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>(ALARM CLOCK BAKELIKE GREEN)</td>\n",
+       "      <td>(ALARM CLOCK BAKELIKE RED)</td>\n",
+       "      <td>0.096939</td>\n",
+       "      <td>0.815789</td>\n",
+       "      <td>8.642959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>(ALARM CLOCK BAKELIKE RED)</td>\n",
+       "      <td>(ALARM CLOCK BAKELIKE GREEN)</td>\n",
+       "      <td>0.094388</td>\n",
+       "      <td>0.837838</td>\n",
+       "      <td>8.642959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
+       "      <td>(SET/20 RED RETROSPOT PAPER NAPKINS)</td>\n",
+       "      <td>0.137755</td>\n",
+       "      <td>0.740741</td>\n",
+       "      <td>5.584046</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>(SET/20 RED RETROSPOT PAPER NAPKINS)</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
+       "      <td>0.132653</td>\n",
+       "      <td>0.769231</td>\n",
+       "      <td>5.584046</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>(SPACEBOY LUNCH BOX)</td>\n",
+       "      <td>(DOLLY GIRL LUNCH BOX)</td>\n",
+       "      <td>0.125000</td>\n",
+       "      <td>0.571429</td>\n",
+       "      <td>5.743590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>(DOLLY GIRL LUNCH BOX)</td>\n",
+       "      <td>(SPACEBOY LUNCH BOX)</td>\n",
+       "      <td>0.099490</td>\n",
+       "      <td>0.717949</td>\n",
+       "      <td>5.743590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
+       "      <td>(SET/20 RED RETROSPOT PAPER NAPKINS)</td>\n",
+       "      <td>0.127551</td>\n",
+       "      <td>0.800000</td>\n",
+       "      <td>6.030769</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>(SET/20 RED RETROSPOT PAPER NAPKINS)</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
+       "      <td>0.132653</td>\n",
+       "      <td>0.769231</td>\n",
+       "      <td>6.030769</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                          antecedants  \\\n",
+       "0                     (PLASTERS IN TIN CIRCUS PARADE)   \n",
+       "1                  (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
+       "2                         (ALARM CLOCK BAKELIKE PINK)   \n",
+       "3                        (ALARM CLOCK BAKELIKE GREEN)   \n",
+       "4                     (SET/6 RED SPOTTY PAPER PLATES)   \n",
+       "5                       (SET/6 RED SPOTTY PAPER CUPS)   \n",
+       "6   (SET/6 RED SPOTTY PAPER CUPS, SET/20 RED RETRO...   \n",
+       "7   (SET/6 RED SPOTTY PAPER PLATES, SET/6 RED SPOT...   \n",
+       "8   (SET/6 RED SPOTTY PAPER PLATES, SET/20 RED RET...   \n",
+       "9                       (SET/6 RED SPOTTY PAPER CUPS)   \n",
+       "10               (SET/20 RED RETROSPOT PAPER NAPKINS)   \n",
+       "11                    (SET/6 RED SPOTTY PAPER PLATES)   \n",
+       "12                    (PLASTERS IN TIN CIRCUS PARADE)   \n",
+       "13                         (PLASTERS IN TIN SPACEBOY)   \n",
+       "14                 (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
+       "15                         (PLASTERS IN TIN SPACEBOY)   \n",
+       "16                        (ALARM CLOCK BAKELIKE PINK)   \n",
+       "17                         (ALARM CLOCK BAKELIKE RED)   \n",
+       "18                       (ALARM CLOCK BAKELIKE GREEN)   \n",
+       "19                         (ALARM CLOCK BAKELIKE RED)   \n",
+       "20                      (SET/6 RED SPOTTY PAPER CUPS)   \n",
+       "21               (SET/20 RED RETROSPOT PAPER NAPKINS)   \n",
+       "22                               (SPACEBOY LUNCH BOX)   \n",
+       "23                             (DOLLY GIRL LUNCH BOX)   \n",
+       "24                    (SET/6 RED SPOTTY PAPER PLATES)   \n",
+       "25               (SET/20 RED RETROSPOT PAPER NAPKINS)   \n",
+       "\n",
+       "                                          consequents   support  confidence  \\\n",
+       "0                  (PLASTERS IN TIN WOODLAND ANIMALS)  0.168367    0.606061   \n",
+       "1                     (PLASTERS IN TIN CIRCUS PARADE)  0.170918    0.597015   \n",
+       "2                        (ALARM CLOCK BAKELIKE GREEN)  0.102041    0.725000   \n",
+       "3                         (ALARM CLOCK BAKELIKE PINK)  0.096939    0.763158   \n",
+       "4                       (SET/6 RED SPOTTY PAPER CUPS)  0.127551    0.960000   \n",
+       "5                     (SET/6 RED SPOTTY PAPER PLATES)  0.137755    0.888889   \n",
+       "6                     (SET/6 RED SPOTTY PAPER PLATES)  0.102041    0.975000   \n",
+       "7                (SET/20 RED RETROSPOT PAPER NAPKINS)  0.122449    0.812500   \n",
+       "8                       (SET/6 RED SPOTTY PAPER CUPS)  0.102041    0.975000   \n",
+       "9   (SET/6 RED SPOTTY PAPER PLATES, SET/20 RED RET...  0.137755    0.722222   \n",
+       "10  (SET/6 RED SPOTTY PAPER PLATES, SET/6 RED SPOT...  0.132653    0.750000   \n",
+       "11  (SET/6 RED SPOTTY PAPER CUPS, SET/20 RED RETRO...  0.127551    0.780000   \n",
+       "12                         (PLASTERS IN TIN SPACEBOY)  0.168367    0.530303   \n",
+       "13                    (PLASTERS IN TIN CIRCUS PARADE)  0.137755    0.648148   \n",
+       "14                         (PLASTERS IN TIN SPACEBOY)  0.170918    0.611940   \n",
+       "15                 (PLASTERS IN TIN WOODLAND ANIMALS)  0.137755    0.759259   \n",
+       "16                         (ALARM CLOCK BAKELIKE RED)  0.102041    0.725000   \n",
+       "17                        (ALARM CLOCK BAKELIKE PINK)  0.094388    0.783784   \n",
+       "18                         (ALARM CLOCK BAKELIKE RED)  0.096939    0.815789   \n",
+       "19                       (ALARM CLOCK BAKELIKE GREEN)  0.094388    0.837838   \n",
+       "20               (SET/20 RED RETROSPOT PAPER NAPKINS)  0.137755    0.740741   \n",
+       "21                      (SET/6 RED SPOTTY PAPER CUPS)  0.132653    0.769231   \n",
+       "22                             (DOLLY GIRL LUNCH BOX)  0.125000    0.571429   \n",
+       "23                               (SPACEBOY LUNCH BOX)  0.099490    0.717949   \n",
+       "24               (SET/20 RED RETROSPOT PAPER NAPKINS)  0.127551    0.800000   \n",
+       "25                    (SET/6 RED SPOTTY PAPER PLATES)  0.132653    0.769231   \n",
+       "\n",
+       "        lift  \n",
+       "0   3.545907  \n",
+       "1   3.545907  \n",
+       "2   7.478947  \n",
+       "3   7.478947  \n",
+       "4   6.968889  \n",
+       "5   6.968889  \n",
+       "6   7.644000  \n",
+       "7   6.125000  \n",
+       "8   7.077778  \n",
+       "9   7.077778  \n",
+       "10  6.125000  \n",
+       "11  7.644000  \n",
+       "12  3.849607  \n",
+       "13  3.849607  \n",
+       "14  4.442233  \n",
+       "15  4.442233  \n",
+       "16  7.681081  \n",
+       "17  7.681081  \n",
+       "18  8.642959  \n",
+       "19  8.642959  \n",
+       "20  5.584046  \n",
+       "21  5.584046  \n",
+       "22  5.743590  \n",
+       "23  5.743590  \n",
+       "24  6.030769  \n",
+       "25  6.030769  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create the rules\n",
+    "rules = association_rules(frequent_itemsets, metric=\"lift\", min_threshold=1)\n",
+    "rules"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>antecedants</th>\n",
+       "      <th>consequents</th>\n",
+       "      <th>support</th>\n",
+       "      <th>confidence</th>\n",
+       "      <th>lift</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
+       "      <td>0.127551</td>\n",
+       "      <td>0.960000</td>\n",
+       "      <td>6.968889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
+       "      <td>0.137755</td>\n",
+       "      <td>0.888889</td>\n",
+       "      <td>6.968889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS, SET/20 RED RETRO...</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
+       "      <td>0.102041</td>\n",
+       "      <td>0.975000</td>\n",
+       "      <td>7.644000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES, SET/6 RED SPOT...</td>\n",
+       "      <td>(SET/20 RED RETROSPOT PAPER NAPKINS)</td>\n",
+       "      <td>0.122449</td>\n",
+       "      <td>0.812500</td>\n",
+       "      <td>6.125000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES, SET/20 RED RET...</td>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
+       "      <td>0.102041</td>\n",
+       "      <td>0.975000</td>\n",
+       "      <td>7.077778</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>(ALARM CLOCK BAKELIKE GREEN)</td>\n",
+       "      <td>(ALARM CLOCK BAKELIKE RED)</td>\n",
+       "      <td>0.096939</td>\n",
+       "      <td>0.815789</td>\n",
+       "      <td>8.642959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>(ALARM CLOCK BAKELIKE RED)</td>\n",
+       "      <td>(ALARM CLOCK BAKELIKE GREEN)</td>\n",
+       "      <td>0.094388</td>\n",
+       "      <td>0.837838</td>\n",
+       "      <td>8.642959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
+       "      <td>(SET/20 RED RETROSPOT PAPER NAPKINS)</td>\n",
+       "      <td>0.127551</td>\n",
+       "      <td>0.800000</td>\n",
+       "      <td>6.030769</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                          antecedants  \\\n",
+       "4                     (SET/6 RED SPOTTY PAPER PLATES)   \n",
+       "5                       (SET/6 RED SPOTTY PAPER CUPS)   \n",
+       "6   (SET/6 RED SPOTTY PAPER CUPS, SET/20 RED RETRO...   \n",
+       "7   (SET/6 RED SPOTTY PAPER PLATES, SET/6 RED SPOT...   \n",
+       "8   (SET/6 RED SPOTTY PAPER PLATES, SET/20 RED RET...   \n",
+       "18                       (ALARM CLOCK BAKELIKE GREEN)   \n",
+       "19                         (ALARM CLOCK BAKELIKE RED)   \n",
+       "24                    (SET/6 RED SPOTTY PAPER PLATES)   \n",
+       "\n",
+       "                             consequents   support  confidence      lift  \n",
+       "4          (SET/6 RED SPOTTY PAPER CUPS)  0.127551    0.960000  6.968889  \n",
+       "5        (SET/6 RED SPOTTY PAPER PLATES)  0.137755    0.888889  6.968889  \n",
+       "6        (SET/6 RED SPOTTY PAPER PLATES)  0.102041    0.975000  7.644000  \n",
+       "7   (SET/20 RED RETROSPOT PAPER NAPKINS)  0.122449    0.812500  6.125000  \n",
+       "8          (SET/6 RED SPOTTY PAPER CUPS)  0.102041    0.975000  7.077778  \n",
+       "18            (ALARM CLOCK BAKELIKE RED)  0.096939    0.815789  8.642959  \n",
+       "19          (ALARM CLOCK BAKELIKE GREEN)  0.094388    0.837838  8.642959  \n",
+       "24  (SET/20 RED RETROSPOT PAPER NAPKINS)  0.127551    0.800000  6.030769  "
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rules[ (rules['lift'] >= 6) &\n",
+    "       (rules['confidence'] >= 0.8) ]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "340.0"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "basket['ALARM CLOCK BAKELIKE GREEN'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "316.0"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "basket['ALARM CLOCK BAKELIKE RED'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "basket2 = (df[df['Country'] ==\"Germany\"]\n",
+    "          .groupby(['InvoiceNo', 'Description'])['Quantity']\n",
+    "          .sum().unstack().reset_index().fillna(0)\n",
+    "          .set_index('InvoiceNo'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "basket_sets2 = basket2.applymap(encode_units)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "basket_sets2.drop('POSTAGE', inplace=True, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "frequent_itemsets2 = apriori(basket_sets2, min_support=0.05, use_colnames=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>antecedants</th>\n",
+       "      <th>consequents</th>\n",
+       "      <th>support</th>\n",
+       "      <th>confidence</th>\n",
+       "      <th>lift</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>(WOODLAND CHARLOTTE BAG)</td>\n",
+       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
+       "      <td>0.126915</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>2.040179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
+       "      <td>(WOODLAND CHARLOTTE BAG)</td>\n",
+       "      <td>0.245077</td>\n",
+       "      <td>0.258929</td>\n",
+       "      <td>2.040179</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
+       "      <td>0.115974</td>\n",
+       "      <td>0.490566</td>\n",
+       "      <td>2.001685</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>0.245077</td>\n",
+       "      <td>0.232143</td>\n",
+       "      <td>2.001685</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
+       "      <td>0.137856</td>\n",
+       "      <td>0.444444</td>\n",
+       "      <td>4.145125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>0.107221</td>\n",
+       "      <td>0.571429</td>\n",
+       "      <td>4.145125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>(WOODLAND CHARLOTTE BAG)</td>\n",
+       "      <td>(RED RETROSPOT CHARLOTTE BAG)</td>\n",
+       "      <td>0.126915</td>\n",
+       "      <td>0.465517</td>\n",
+       "      <td>6.648168</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>(RED RETROSPOT CHARLOTTE BAG)</td>\n",
+       "      <td>(WOODLAND CHARLOTTE BAG)</td>\n",
+       "      <td>0.070022</td>\n",
+       "      <td>0.843750</td>\n",
+       "      <td>6.648168</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
+       "      <td>(ROUND SNACK BOXES SET OF 4 FRUITS)</td>\n",
+       "      <td>0.245077</td>\n",
+       "      <td>0.535714</td>\n",
+       "      <td>3.400298</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>(ROUND SNACK BOXES SET OF 4 FRUITS)</td>\n",
+       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
+       "      <td>0.157549</td>\n",
+       "      <td>0.833333</td>\n",
+       "      <td>3.400298</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
+       "      <td>0.137856</td>\n",
+       "      <td>0.539683</td>\n",
+       "      <td>2.202098</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>0.245077</td>\n",
+       "      <td>0.303571</td>\n",
+       "      <td>2.202098</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>0.115974</td>\n",
+       "      <td>0.584906</td>\n",
+       "      <td>4.242887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>0.137856</td>\n",
+       "      <td>0.492063</td>\n",
+       "      <td>4.242887</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>(ROUND SNACK BOXES SET OF 4 FRUITS)</td>\n",
+       "      <td>0.115974</td>\n",
+       "      <td>0.433962</td>\n",
+       "      <td>2.754455</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>(ROUND SNACK BOXES SET OF 4 FRUITS)</td>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>0.157549</td>\n",
+       "      <td>0.319444</td>\n",
+       "      <td>2.754455</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>(SPACEBOY LUNCH BOX)</td>\n",
+       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
+       "      <td>0.102845</td>\n",
+       "      <td>0.680851</td>\n",
+       "      <td>2.778116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>(ROUND SNACK BOXES SET OF4 WOODLAND)</td>\n",
+       "      <td>(SPACEBOY LUNCH BOX)</td>\n",
+       "      <td>0.245077</td>\n",
+       "      <td>0.285714</td>\n",
+       "      <td>2.778116</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                             antecedants  \\\n",
+       "0               (WOODLAND CHARLOTTE BAG)   \n",
+       "1   (ROUND SNACK BOXES SET OF4 WOODLAND)   \n",
+       "2        (PLASTERS IN TIN CIRCUS PARADE)   \n",
+       "3   (ROUND SNACK BOXES SET OF4 WOODLAND)   \n",
+       "4     (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
+       "5             (PLASTERS IN TIN SPACEBOY)   \n",
+       "6               (WOODLAND CHARLOTTE BAG)   \n",
+       "7          (RED RETROSPOT CHARLOTTE BAG)   \n",
+       "8   (ROUND SNACK BOXES SET OF4 WOODLAND)   \n",
+       "9    (ROUND SNACK BOXES SET OF 4 FRUITS)   \n",
+       "10    (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
+       "11  (ROUND SNACK BOXES SET OF4 WOODLAND)   \n",
+       "12       (PLASTERS IN TIN CIRCUS PARADE)   \n",
+       "13    (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
+       "14       (PLASTERS IN TIN CIRCUS PARADE)   \n",
+       "15   (ROUND SNACK BOXES SET OF 4 FRUITS)   \n",
+       "16                  (SPACEBOY LUNCH BOX)   \n",
+       "17  (ROUND SNACK BOXES SET OF4 WOODLAND)   \n",
+       "\n",
+       "                             consequents   support  confidence      lift  \n",
+       "0   (ROUND SNACK BOXES SET OF4 WOODLAND)  0.126915    0.500000  2.040179  \n",
+       "1               (WOODLAND CHARLOTTE BAG)  0.245077    0.258929  2.040179  \n",
+       "2   (ROUND SNACK BOXES SET OF4 WOODLAND)  0.115974    0.490566  2.001685  \n",
+       "3        (PLASTERS IN TIN CIRCUS PARADE)  0.245077    0.232143  2.001685  \n",
+       "4             (PLASTERS IN TIN SPACEBOY)  0.137856    0.444444  4.145125  \n",
+       "5     (PLASTERS IN TIN WOODLAND ANIMALS)  0.107221    0.571429  4.145125  \n",
+       "6          (RED RETROSPOT CHARLOTTE BAG)  0.126915    0.465517  6.648168  \n",
+       "7               (WOODLAND CHARLOTTE BAG)  0.070022    0.843750  6.648168  \n",
+       "8    (ROUND SNACK BOXES SET OF 4 FRUITS)  0.245077    0.535714  3.400298  \n",
+       "9   (ROUND SNACK BOXES SET OF4 WOODLAND)  0.157549    0.833333  3.400298  \n",
+       "10  (ROUND SNACK BOXES SET OF4 WOODLAND)  0.137856    0.539683  2.202098  \n",
+       "11    (PLASTERS IN TIN WOODLAND ANIMALS)  0.245077    0.303571  2.202098  \n",
+       "12    (PLASTERS IN TIN WOODLAND ANIMALS)  0.115974    0.584906  4.242887  \n",
+       "13       (PLASTERS IN TIN CIRCUS PARADE)  0.137856    0.492063  4.242887  \n",
+       "14   (ROUND SNACK BOXES SET OF 4 FRUITS)  0.115974    0.433962  2.754455  \n",
+       "15       (PLASTERS IN TIN CIRCUS PARADE)  0.157549    0.319444  2.754455  \n",
+       "16  (ROUND SNACK BOXES SET OF4 WOODLAND)  0.102845    0.680851  2.778116  \n",
+       "17                  (SPACEBOY LUNCH BOX)  0.245077    0.285714  2.778116  "
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rules2 = association_rules(frequent_itemsets2, metric=\"lift\", min_threshold=1)\n",
+    "rules2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>antecedants</th>\n",
+       "      <th>consequents</th>\n",
+       "      <th>support</th>\n",
+       "      <th>confidence</th>\n",
+       "      <th>lift</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>0.107221</td>\n",
+       "      <td>0.571429</td>\n",
+       "      <td>4.145125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>(RED RETROSPOT CHARLOTTE BAG)</td>\n",
+       "      <td>(WOODLAND CHARLOTTE BAG)</td>\n",
+       "      <td>0.070022</td>\n",
+       "      <td>0.843750</td>\n",
+       "      <td>6.648168</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>(PLASTERS IN TIN CIRCUS PARADE)</td>\n",
+       "      <td>(PLASTERS IN TIN WOODLAND ANIMALS)</td>\n",
+       "      <td>0.115974</td>\n",
+       "      <td>0.584906</td>\n",
+       "      <td>4.242887</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        antecedants                         consequents  \\\n",
+       "5        (PLASTERS IN TIN SPACEBOY)  (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
+       "7     (RED RETROSPOT CHARLOTTE BAG)            (WOODLAND CHARLOTTE BAG)   \n",
+       "12  (PLASTERS IN TIN CIRCUS PARADE)  (PLASTERS IN TIN WOODLAND ANIMALS)   \n",
+       "\n",
+       "     support  confidence      lift  \n",
+       "5   0.107221    0.571429  4.145125  \n",
+       "7   0.070022    0.843750  6.648168  \n",
+       "12  0.115974    0.584906  4.242887  "
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rules2[ (rules2['lift'] >= 4) &\n",
+    "        (rules2['confidence'] >= 0.5) ]"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python [default]",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/notebooks/Monte_Carlo_Simulation.ipynb b/notebooks/Monte_Carlo_Simulation.ipynb
new file mode 100644
index 0000000..01fa79b
--- /dev/null
+++ b/notebooks/Monte_Carlo_Simulation.ipynb
@@ -0,0 +1,840 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Monte Carlo Simulation with Python\n",
+    "\n",
+    "Notebook to accompany article on [Practical Business Python](https://pbpython.com/monte-carlo.html)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sns.set_style('whitegrid')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define the variables for the Percent to target based on historical results\n",
+    "avg = 1\n",
+    "std_dev = .1\n",
+    "num_reps = 500\n",
+    "num_simulations = 1000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Show an example of calculating the percent to target\n",
+    "pct_to_target = np.random.normal(avg, std_dev, num_reps).round(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1.06, 1.27, 0.85, 0.91, 0.89, 1.18, 1.03, 0.83, 0.99, 0.89])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pct_to_target[0:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Another example for the sales target distribution\n",
+    "sales_target_values = [75_000, 100_000, 200_000, 300_000, 400_000, 500_000]\n",
+    "sales_target_prob = [.3, .3, .2, .1, .05, .05]\n",
+    "sales_target = np.random.choice(sales_target_values, num_reps, p=sales_target_prob)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([400000, 200000, 100000, 200000, 400000, 100000, 300000, 100000,\n",
+       "        75000, 200000])"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sales_target[0:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Pct_To_Target</th>\n",
+       "      <th>Sales_Target</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.06</td>\n",
+       "      <td>400000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.27</td>\n",
+       "      <td>200000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.85</td>\n",
+       "      <td>100000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.91</td>\n",
+       "      <td>200000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.89</td>\n",
+       "      <td>400000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Pct_To_Target  Sales_Target\n",
+       "0           1.06        400000\n",
+       "1           1.27        200000\n",
+       "2           0.85        100000\n",
+       "3           0.91        200000\n",
+       "4           0.89        400000"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Show how to create the dataframe\n",
+    "df = pd.DataFrame(index=range(num_reps), data={'Pct_To_Target': pct_to_target,\n",
+    "                                               'Sales_Target': sales_target})\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd94422a2e8>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd946321a20>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Simple histogram to confirm distribution looks as expected\n",
+    "df['Pct_To_Target'].plot(kind='hist', title='Historical % to Target Distribution')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd9441fc668>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd944250748>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Look at the sales target distribution\n",
+    "df['Sales_Target'].plot(kind='hist', title='Historical Sales Target Distribution')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Back into the actual sales amount\n",
+    "df['Sales'] = df['Pct_To_Target'] * df['Sales_Target']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def calc_commission_rate(x):\n",
+    "    \"\"\" Return the commission rate based on the table:\n",
+    "    0-90% = 2%\n",
+    "    91-99% = 3%\n",
+    "    >= 100 = 4%\n",
+    "    \"\"\"\n",
+    "    if x <= .90:\n",
+    "        return .02\n",
+    "    if x <= .99:\n",
+    "        return .03\n",
+    "    else:\n",
+    "        return .04"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Commission_Rate'] = df['Pct_To_Target'].apply(calc_commission_rate)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Pct_To_Target</th>\n",
+       "      <th>Sales_Target</th>\n",
+       "      <th>Sales</th>\n",
+       "      <th>Commission_Rate</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.06</td>\n",
+       "      <td>400000</td>\n",
+       "      <td>424000.0</td>\n",
+       "      <td>0.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.27</td>\n",
+       "      <td>200000</td>\n",
+       "      <td>254000.0</td>\n",
+       "      <td>0.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.85</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>85000.0</td>\n",
+       "      <td>0.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.91</td>\n",
+       "      <td>200000</td>\n",
+       "      <td>182000.0</td>\n",
+       "      <td>0.03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.89</td>\n",
+       "      <td>400000</td>\n",
+       "      <td>356000.0</td>\n",
+       "      <td>0.02</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Pct_To_Target  Sales_Target     Sales  Commission_Rate\n",
+       "0           1.06        400000  424000.0             0.04\n",
+       "1           1.27        200000  254000.0             0.04\n",
+       "2           0.85        100000   85000.0             0.02\n",
+       "3           0.91        200000  182000.0             0.03\n",
+       "4           0.89        400000  356000.0             0.02"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate the commissions\n",
+    "df['Commission_Amount'] = df['Commission_Rate'] * df['Sales']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Pct_To_Target</th>\n",
+       "      <th>Sales_Target</th>\n",
+       "      <th>Sales</th>\n",
+       "      <th>Commission_Rate</th>\n",
+       "      <th>Commission_Amount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.06</td>\n",
+       "      <td>400000</td>\n",
+       "      <td>424000.0</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>16960.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.27</td>\n",
+       "      <td>200000</td>\n",
+       "      <td>254000.0</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>10160.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.85</td>\n",
+       "      <td>100000</td>\n",
+       "      <td>85000.0</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>1700.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.91</td>\n",
+       "      <td>200000</td>\n",
+       "      <td>182000.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>5460.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.89</td>\n",
+       "      <td>400000</td>\n",
+       "      <td>356000.0</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>7120.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Pct_To_Target  Sales_Target     Sales  Commission_Rate  Commission_Amount\n",
+       "0           1.06        400000  424000.0             0.04            16960.0\n",
+       "1           1.27        200000  254000.0             0.04            10160.0\n",
+       "2           0.85        100000   85000.0             0.02             1700.0\n",
+       "3           0.91        200000  182000.0             0.03             5460.0\n",
+       "4           0.89        400000  356000.0             0.02             7120.0"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "87970500.0 3017002.5 87850000\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df['Sales'].sum(), df['Commission_Amount'].sum(), df['Sales_Target'].sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Pct_To_Target</th>\n",
+       "      <th>Sales_Target</th>\n",
+       "      <th>Sales</th>\n",
+       "      <th>Commission_Rate</th>\n",
+       "      <th>Commission_Amount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>500.000000</td>\n",
+       "      <td>500.000000</td>\n",
+       "      <td>500.000000</td>\n",
+       "      <td>500.000000</td>\n",
+       "      <td>500.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.000760</td>\n",
+       "      <td>175700.000000</td>\n",
+       "      <td>175941.000000</td>\n",
+       "      <td>0.033600</td>\n",
+       "      <td>6034.005000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.098028</td>\n",
+       "      <td>121703.053645</td>\n",
+       "      <td>123823.050417</td>\n",
+       "      <td>0.007613</td>\n",
+       "      <td>4745.301127</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.710000</td>\n",
+       "      <td>75000.000000</td>\n",
+       "      <td>58500.000000</td>\n",
+       "      <td>0.020000</td>\n",
+       "      <td>1170.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.930000</td>\n",
+       "      <td>75000.000000</td>\n",
+       "      <td>82500.000000</td>\n",
+       "      <td>0.030000</td>\n",
+       "      <td>2932.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>1.005000</td>\n",
+       "      <td>100000.000000</td>\n",
+       "      <td>108000.000000</td>\n",
+       "      <td>0.040000</td>\n",
+       "      <td>4180.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>1.070000</td>\n",
+       "      <td>200000.000000</td>\n",
+       "      <td>228000.000000</td>\n",
+       "      <td>0.040000</td>\n",
+       "      <td>8415.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>1.280000</td>\n",
+       "      <td>500000.000000</td>\n",
+       "      <td>620000.000000</td>\n",
+       "      <td>0.040000</td>\n",
+       "      <td>24800.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Pct_To_Target   Sales_Target          Sales  Commission_Rate  \\\n",
+       "count     500.000000     500.000000     500.000000       500.000000   \n",
+       "mean        1.000760  175700.000000  175941.000000         0.033600   \n",
+       "std         0.098028  121703.053645  123823.050417         0.007613   \n",
+       "min         0.710000   75000.000000   58500.000000         0.020000   \n",
+       "25%         0.930000   75000.000000   82500.000000         0.030000   \n",
+       "50%         1.005000  100000.000000  108000.000000         0.040000   \n",
+       "75%         1.070000  200000.000000  228000.000000         0.040000   \n",
+       "max         1.280000  500000.000000  620000.000000         0.040000   \n",
+       "\n",
+       "       Commission_Amount  \n",
+       "count         500.000000  \n",
+       "mean         6034.005000  \n",
+       "std          4745.301127  \n",
+       "min          1170.000000  \n",
+       "25%          2932.500000  \n",
+       "50%          4180.000000  \n",
+       "75%          8415.000000  \n",
+       "max         24800.000000  "
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Show Full Example of the simulation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define a list to keep all the results from each simulation that we want to analyze\n",
+    "all_stats = []\n",
+    "\n",
+    "# Loop through many simulations\n",
+    "for i in range(num_simulations):\n",
+    "    \n",
+    "    # Choose random inputs for the sales targets and percent to target\n",
+    "    sales_target = np.random.choice(sales_target_values, num_reps, p=sales_target_prob)\n",
+    "    pct_to_target = np.random.normal(avg, std_dev, num_reps).round(2)\n",
+    "    \n",
+    "    # Build the dataframe based on the inputs and number of reps\n",
+    "    df = pd.DataFrame(index=range(num_reps), data={'Pct_To_Target': pct_to_target,\n",
+    "                                                   'Sales_Target': sales_target})\n",
+    "    \n",
+    "    # Back into the sales number using the percent to target rate\n",
+    "    df['Sales'] = df['Pct_To_Target'] * df['Sales_Target']\n",
+    "    \n",
+    "    # Determine the commissions rate and calculate it\n",
+    "    df['Commission_Rate'] = df['Pct_To_Target'].apply(calc_commission_rate)\n",
+    "    df['Commission_Amount'] = df['Commission_Rate'] * df['Sales']\n",
+    "    \n",
+    "    # We want to track sales,commission amounts and sales targets over all the simulations\n",
+    "    all_stats.append([df['Sales'].sum().round(0), \n",
+    "                      df['Commission_Amount'].sum().round(0), \n",
+    "                      df['Sales_Target'].sum().round(0)])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_df = pd.DataFrame.from_records(all_stats, columns=['Sales', 'Commission_Amount', 'Sales_Target'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style  type=\"text/css\" >\n",
+       "</style>  \n",
+       "<table id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09\" > \n",
+       "<thead>    <tr> \n",
+       "        <th class=\"blank level0\" ></th> \n",
+       "        <th class=\"col_heading level0 col0\" >Sales</th> \n",
+       "        <th class=\"col_heading level0 col1\" >Commission_Amount</th> \n",
+       "        <th class=\"col_heading level0 col2\" >Sales_Target</th> \n",
+       "    </tr></thead> \n",
+       "<tbody>    <tr> \n",
+       "        <th id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09level0_row0\" class=\"row_heading level0 row0\" >count</th> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row0_col0\" class=\"data row0 col0\" >1,000.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row0_col1\" class=\"data row0 col1\" >1,000.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row0_col2\" class=\"data row0 col2\" >1,000.0</td> \n",
+       "    </tr>    <tr> \n",
+       "        <th id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09level0_row1\" class=\"row_heading level0 row1\" >mean</th> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row1_col0\" class=\"data row1 col0\" >83,709,161.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row1_col1\" class=\"data row1 col1\" >2,858,654.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row1_col2\" class=\"data row1 col2\" >83,702,875.0</td> \n",
+       "    </tr>    <tr> \n",
+       "        <th id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09level0_row2\" class=\"row_heading level0 row2\" >std</th> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row2_col0\" class=\"data row2 col0\" >2,757,247.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row2_col1\" class=\"data row2 col1\" >102,738.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row2_col2\" class=\"data row2 col2\" >2,731,060.0</td> \n",
+       "    </tr>    <tr> \n",
+       "        <th id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09level0_row3\" class=\"row_heading level0 row3\" >min</th> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row3_col0\" class=\"data row3 col0\" >74,279,750.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row3_col1\" class=\"data row3 col1\" >2,509,105.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row3_col2\" class=\"data row3 col2\" >74,725,000.0</td> \n",
+       "    </tr>    <tr> \n",
+       "        <th id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09level0_row4\" class=\"row_heading level0 row4\" >25%</th> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row4_col0\" class=\"data row4 col0\" >81,792,875.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row4_col1\" class=\"data row4 col1\" >2,790,037.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row4_col2\" class=\"data row4 col2\" >81,800,000.0</td> \n",
+       "    </tr>    <tr> \n",
+       "        <th id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09level0_row5\" class=\"row_heading level0 row5\" >50%</th> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row5_col0\" class=\"data row5 col0\" >83,796,250.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row5_col1\" class=\"data row5 col1\" >2,858,382.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row5_col2\" class=\"data row5 col2\" >83,625,000.0</td> \n",
+       "    </tr>    <tr> \n",
+       "        <th id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09level0_row6\" class=\"row_heading level0 row6\" >75%</th> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row6_col0\" class=\"data row6 col0\" >85,533,000.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row6_col1\" class=\"data row6 col1\" >2,925,028.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row6_col2\" class=\"data row6 col2\" >85,600,000.0</td> \n",
+       "    </tr>    <tr> \n",
+       "        <th id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09level0_row7\" class=\"row_heading level0 row7\" >max</th> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row7_col0\" class=\"data row7 col0\" >93,342,750.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row7_col1\" class=\"data row7 col1\" >3,240,805.0</td> \n",
+       "        <td id=\"T_732b5980_3305_11e9_b57a_507b9d5f4b09row7_col2\" class=\"data row7 col2\" >92,800,000.0</td> \n",
+       "    </tr></tbody> \n",
+       "</table> "
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fd944151be0>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results_df.describe().round(0).style.format('{:,}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd943b3f940>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd9847f7b70>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results_df['Commission_Amount'].plot(kind='hist', title=\"Total Commission Amount\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd943b11630>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7fd943af39b0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results_df['Sales'].plot(kind='hist')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Monte_Carlo_Simulationv2.ipynb b/notebooks/Monte_Carlo_Simulationv2.ipynb
new file mode 100644
index 0000000..cbc48cf
--- /dev/null
+++ b/notebooks/Monte_Carlo_Simulationv2.ipynb
@@ -0,0 +1,419 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Monte Carlo Simulation with Python\n",
+    "\n",
+    "Notebook to accompany article on [Practical Business Python](https://pbpython.com/monte-carlo.html)\n",
+    "\n",
+    "Update to use numpy for faster loops based on comments [here](https://www.reddit.com/r/Python/comments/arxwkm/monte_carlo_simulation_with_python/)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sns.set_style('whitegrid')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define the variables for the Percent to target based on historical results\n",
+    "avg = 1\n",
+    "std_dev = .1\n",
+    "num_reps = 500\n",
+    "num_simulations = 100000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Show an example of calculating the percent to target\n",
+    "pct_to_target = np.random.normal(\n",
+    "    avg,\n",
+    "    std_dev,\n",
+    "    size=(num_reps, num_simulations)\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[1.00168889, 0.84322867, 0.89764919, ..., 1.01640703, 1.20373747,\n",
+       "        0.97037204],\n",
+       "       [1.028913  , 0.90536114, 0.924947  , ..., 1.04301131, 1.00578572,\n",
+       "        0.82234308],\n",
+       "       [0.92013836, 0.89966565, 0.9061088 , ..., 0.95344094, 1.04113555,\n",
+       "        1.19014847],\n",
+       "       ...,\n",
+       "       [0.90638344, 0.92727774, 1.06040697, ..., 0.98925006, 0.7699789 ,\n",
+       "        1.13980837],\n",
+       "       [1.05623333, 0.90113527, 1.17673089, ..., 0.88190302, 0.75553421,\n",
+       "        1.01923352],\n",
+       "       [1.0517061 , 1.02548497, 1.06281586, ..., 1.01414038, 1.03138342,\n",
+       "        1.01631576]])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pct_to_target[0:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Another example for the sales target distribution\n",
+    "sales_target_values = [75_000, 100_000, 200_000, 300_000, 400_000, 500_000]\n",
+    "sales_target_prob = [.3, .3, .2, .1, .05, .05]\n",
+    "sales_target = np.random.choice(sales_target_values, p=sales_target_prob, \n",
+    "                                size=(num_reps, num_simulations))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 75000, 400000,  75000, ..., 100000, 400000,  75000],\n",
+       "       [ 75000, 300000, 200000, ..., 200000, 200000, 500000],\n",
+       "       [ 75000,  75000,  75000, ..., 200000, 100000, 300000],\n",
+       "       ...,\n",
+       "       [ 75000, 100000, 200000, ...,  75000, 200000, 200000],\n",
+       "       [ 75000,  75000,  75000, ..., 500000,  75000,  75000],\n",
+       "       [ 75000,  75000,  75000, ...,  75000, 100000, 500000]])"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sales_target[0:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "commission_percentages = np.take(\n",
+    "    np.array([0.02, 0.03, 0.04]),\n",
+    "    np.digitize(pct_to_target, bins=[.9, .99, 10])\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0.04, 0.02, 0.02, ..., 0.04, 0.04, 0.03],\n",
+       "       [0.04, 0.03, 0.03, ..., 0.04, 0.04, 0.02],\n",
+       "       [0.03, 0.02, 0.03, ..., 0.03, 0.04, 0.04],\n",
+       "       ...,\n",
+       "       [0.03, 0.03, 0.04, ..., 0.03, 0.02, 0.04],\n",
+       "       [0.04, 0.03, 0.04, ..., 0.02, 0.02, 0.04],\n",
+       "       [0.04, 0.04, 0.04, ..., 0.04, 0.04, 0.04]])"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "commission_percentages[0:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "total_commissions = (commission_percentages * sales_target).sum(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "96204.21537404737"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "total_commissions.std()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Total_Commissions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2982500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3003500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2950250.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2902000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2762500.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Total_Commissions\n",
+       "0          2982500.0\n",
+       "1          3003500.0\n",
+       "2          2950250.0\n",
+       "3          2902000.0\n",
+       "4          2762500.0"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Show how to create the dataframe\n",
+    "df = pd.DataFrame(data={'Total_Commissions': total_commissions})\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6e5f13d2e8>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f6e78faeac8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.plot(kind='hist', title='Commissions Distribution')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Total_Commissions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1.000000e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>2.832281e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>9.620470e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>2.447500e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>2.766750e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>2.831250e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.896500e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>3.279750e+06</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Total_Commissions\n",
+       "count       1.000000e+05\n",
+       "mean        2.832281e+06\n",
+       "std         9.620470e+04\n",
+       "min         2.447500e+06\n",
+       "25%         2.766750e+06\n",
+       "50%         2.831250e+06\n",
+       "75%         2.896500e+06\n",
+       "max         3.279750e+06"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Natural_Breaks.ipynb b/notebooks/Natural_Breaks.ipynb
new file mode 100644
index 0000000..29eda0f
--- /dev/null
+++ b/notebooks/Natural_Breaks.ipynb
@@ -0,0 +1,947 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Finding Natural Breaks in Data with the Fisher-Jenks Algorithm\n",
+    "\n",
+    "Notebook accompanying article on [PB Python](https://pbpython.com/natural-breaks.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import jenkspy"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Create an example dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sales = {\n",
+    "    'account': [\n",
+    "        'Jones Inc', 'Alpha Co', 'Blue Inc', 'Super Star Inc', 'Wamo',\n",
+    "        'Next Gen', 'Giga Co', 'IniTech', 'Beta LLC'\n",
+    "    ],\n",
+    "    'Total': [1500, 2100, 50, 20, 75, 1100, 950, 1300, 1400]\n",
+    "}\n",
+    "df = pd.DataFrame(sales)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account</th>\n",
+       "      <th>Total</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Super Star Inc</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Blue Inc</td>\n",
+       "      <td>50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Wamo</td>\n",
+       "      <td>75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Giga Co</td>\n",
+       "      <td>950</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Next Gen</td>\n",
+       "      <td>1100</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>IniTech</td>\n",
+       "      <td>1300</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Beta LLC</td>\n",
+       "      <td>1400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Jones Inc</td>\n",
+       "      <td>1500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alpha Co</td>\n",
+       "      <td>2100</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          account  Total\n",
+       "3  Super Star Inc     20\n",
+       "2        Blue Inc     50\n",
+       "4            Wamo     75\n",
+       "6         Giga Co    950\n",
+       "5        Next Gen   1100\n",
+       "7         IniTech   1300\n",
+       "8        Beta LLC   1400\n",
+       "0       Jones Inc   1500\n",
+       "1        Alpha Co   2100"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sort_values(by='Total')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Try cutting the data using qcut"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['quantile'] = pd.qcut(df['Total'], q=2, labels=['bucket_1', 'bucket_2'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account</th>\n",
+       "      <th>Total</th>\n",
+       "      <th>quantile</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Super Star Inc</td>\n",
+       "      <td>20</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Blue Inc</td>\n",
+       "      <td>50</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Wamo</td>\n",
+       "      <td>75</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Giga Co</td>\n",
+       "      <td>950</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Next Gen</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>IniTech</td>\n",
+       "      <td>1300</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Beta LLC</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Jones Inc</td>\n",
+       "      <td>1500</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alpha Co</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          account  Total  quantile\n",
+       "3  Super Star Inc     20  bucket_1\n",
+       "2        Blue Inc     50  bucket_1\n",
+       "4            Wamo     75  bucket_1\n",
+       "6         Giga Co    950  bucket_1\n",
+       "5        Next Gen   1100  bucket_1\n",
+       "7         IniTech   1300  bucket_2\n",
+       "8        Beta LLC   1400  bucket_2\n",
+       "0       Jones Inc   1500  bucket_2\n",
+       "1        Alpha Co   2100  bucket_2"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sort_values(by='Total')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Compare with using cut"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['cut_bins'] = pd.cut(df['Total'],\n",
+    "                         bins=2,\n",
+    "                         labels=['bucket_1', 'bucket_2'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account</th>\n",
+       "      <th>Total</th>\n",
+       "      <th>quantile</th>\n",
+       "      <th>cut_bins</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Super Star Inc</td>\n",
+       "      <td>20</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Blue Inc</td>\n",
+       "      <td>50</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Wamo</td>\n",
+       "      <td>75</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Giga Co</td>\n",
+       "      <td>950</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Next Gen</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>IniTech</td>\n",
+       "      <td>1300</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Beta LLC</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Jones Inc</td>\n",
+       "      <td>1500</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alpha Co</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          account  Total  quantile  cut_bins\n",
+       "3  Super Star Inc     20  bucket_1  bucket_1\n",
+       "2        Blue Inc     50  bucket_1  bucket_1\n",
+       "4            Wamo     75  bucket_1  bucket_1\n",
+       "6         Giga Co    950  bucket_1  bucket_1\n",
+       "5        Next Gen   1100  bucket_1  bucket_2\n",
+       "7         IniTech   1300  bucket_2  bucket_2\n",
+       "8        Beta LLC   1400  bucket_2  bucket_2\n",
+       "0       Jones Inc   1500  bucket_2  bucket_2\n",
+       "1        Alpha Co   2100  bucket_2  bucket_2"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sort_values(by='Total')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Show how jenkspy works"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[20.0, 75.0, 2100.0]\n"
+     ]
+    }
+   ],
+   "source": [
+    "breaks = jenkspy.jenks_breaks(df['Total'], nb_class=2)\n",
+    "print(breaks)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account</th>\n",
+       "      <th>Total</th>\n",
+       "      <th>quantile</th>\n",
+       "      <th>cut_bins</th>\n",
+       "      <th>cut_jenks</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Super Star Inc</td>\n",
+       "      <td>20</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Blue Inc</td>\n",
+       "      <td>50</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Wamo</td>\n",
+       "      <td>75</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Giga Co</td>\n",
+       "      <td>950</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Next Gen</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>IniTech</td>\n",
+       "      <td>1300</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Beta LLC</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Jones Inc</td>\n",
+       "      <td>1500</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alpha Co</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          account  Total  quantile  cut_bins cut_jenks\n",
+       "3  Super Star Inc     20  bucket_1  bucket_1       NaN\n",
+       "2        Blue Inc     50  bucket_1  bucket_1  bucket_1\n",
+       "4            Wamo     75  bucket_1  bucket_1  bucket_1\n",
+       "6         Giga Co    950  bucket_1  bucket_1  bucket_2\n",
+       "5        Next Gen   1100  bucket_1  bucket_2  bucket_2\n",
+       "7         IniTech   1300  bucket_2  bucket_2  bucket_2\n",
+       "8        Beta LLC   1400  bucket_2  bucket_2  bucket_2\n",
+       "0       Jones Inc   1500  bucket_2  bucket_2  bucket_2\n",
+       "1        Alpha Co   2100  bucket_2  bucket_2  bucket_2"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['cut_jenks'] = pd.cut(df['Total'],\n",
+    "                         bins=breaks,\n",
+    "                         labels=['bucket_1', 'bucket_2'])\n",
+    "df.sort_values(by='Total')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Fix the NaN by using include_lowest"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account</th>\n",
+       "      <th>Total</th>\n",
+       "      <th>quantile</th>\n",
+       "      <th>cut_bins</th>\n",
+       "      <th>cut_jenks</th>\n",
+       "      <th>cut_jenksv2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Super Star Inc</td>\n",
+       "      <td>20</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Blue Inc</td>\n",
+       "      <td>50</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Wamo</td>\n",
+       "      <td>75</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Giga Co</td>\n",
+       "      <td>950</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Next Gen</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>IniTech</td>\n",
+       "      <td>1300</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Beta LLC</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Jones Inc</td>\n",
+       "      <td>1500</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alpha Co</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          account  Total  quantile  cut_bins cut_jenks cut_jenksv2\n",
+       "3  Super Star Inc     20  bucket_1  bucket_1       NaN    bucket_1\n",
+       "2        Blue Inc     50  bucket_1  bucket_1  bucket_1    bucket_1\n",
+       "4            Wamo     75  bucket_1  bucket_1  bucket_1    bucket_1\n",
+       "6         Giga Co    950  bucket_1  bucket_1  bucket_2    bucket_2\n",
+       "5        Next Gen   1100  bucket_1  bucket_2  bucket_2    bucket_2\n",
+       "7         IniTech   1300  bucket_2  bucket_2  bucket_2    bucket_2\n",
+       "8        Beta LLC   1400  bucket_2  bucket_2  bucket_2    bucket_2\n",
+       "0       Jones Inc   1500  bucket_2  bucket_2  bucket_2    bucket_2\n",
+       "1        Alpha Co   2100  bucket_2  bucket_2  bucket_2    bucket_2"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['cut_jenksv2'] = pd.cut(df['Total'],\n",
+    "                         bins=breaks,\n",
+    "                         labels=['bucket_1', 'bucket_2'],\n",
+    "                         include_lowest=True)\n",
+    "df.sort_values(by='Total')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Try some other examples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account</th>\n",
+       "      <th>Total</th>\n",
+       "      <th>quantile</th>\n",
+       "      <th>cut_bins</th>\n",
+       "      <th>cut_jenks</th>\n",
+       "      <th>cut_jenksv2</th>\n",
+       "      <th>quantilev2</th>\n",
+       "      <th>cut_jenksv3</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Super Star Inc</td>\n",
+       "      <td>20</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Blue Inc</td>\n",
+       "      <td>50</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Wamo</td>\n",
+       "      <td>75</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Giga Co</td>\n",
+       "      <td>950</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Next Gen</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>bucket_1</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>IniTech</td>\n",
+       "      <td>1300</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_3</td>\n",
+       "      <td>bucket_3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Beta LLC</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_3</td>\n",
+       "      <td>bucket_3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Jones Inc</td>\n",
+       "      <td>1500</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_4</td>\n",
+       "      <td>bucket_3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alpha Co</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_2</td>\n",
+       "      <td>bucket_4</td>\n",
+       "      <td>bucket_4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          account  Total  quantile  cut_bins cut_jenks cut_jenksv2 quantilev2  \\\n",
+       "3  Super Star Inc     20  bucket_1  bucket_1       NaN    bucket_1   bucket_1   \n",
+       "2        Blue Inc     50  bucket_1  bucket_1  bucket_1    bucket_1   bucket_1   \n",
+       "4            Wamo     75  bucket_1  bucket_1  bucket_1    bucket_1   bucket_1   \n",
+       "6         Giga Co    950  bucket_1  bucket_1  bucket_2    bucket_2   bucket_2   \n",
+       "5        Next Gen   1100  bucket_1  bucket_2  bucket_2    bucket_2   bucket_2   \n",
+       "7         IniTech   1300  bucket_2  bucket_2  bucket_2    bucket_2   bucket_3   \n",
+       "8        Beta LLC   1400  bucket_2  bucket_2  bucket_2    bucket_2   bucket_3   \n",
+       "0       Jones Inc   1500  bucket_2  bucket_2  bucket_2    bucket_2   bucket_4   \n",
+       "1        Alpha Co   2100  bucket_2  bucket_2  bucket_2    bucket_2   bucket_4   \n",
+       "\n",
+       "  cut_jenksv3  \n",
+       "3    bucket_1  \n",
+       "2    bucket_1  \n",
+       "4    bucket_1  \n",
+       "6    bucket_2  \n",
+       "5    bucket_2  \n",
+       "7    bucket_3  \n",
+       "8    bucket_3  \n",
+       "0    bucket_3  \n",
+       "1    bucket_4  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['quantilev2'] = pd.qcut(\n",
+    "    df['Total'], q=4, labels=['bucket_1', 'bucket_2', 'bucket_3', 'bucket_4'])\n",
+    "\n",
+    "df['cut_jenksv3'] = pd.cut(\n",
+    "    df['Total'],\n",
+    "    bins=jenkspy.jenks_breaks(df['Total'], nb_class=4),\n",
+    "    labels=['bucket_1', 'bucket_2', 'bucket_3', 'bucket_4'],\n",
+    "    include_lowest=True)\n",
+    "\n",
+    "\n",
+    "df.sort_values(by='Total')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Pandas-cut-qcut-article.ipynb b/notebooks/Pandas-cut-qcut-article.ipynb
new file mode 100644
index 0000000..021b9c3
--- /dev/null
+++ b/notebooks/Pandas-cut-qcut-article.ipynb
@@ -0,0 +1,1419 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Binning Data with Pandas cut and qcut\n",
+    "\n",
+    "This notebook accompanies the article posted on [pbpython.com](http://pbpython.com/pandas-qcut-cut.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sns.set_style('whitegrid')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raw_df = pd.read_excel('https://github.com/chris1610/pbpython/blob/master/data/2018_Sales_Total_v2.xlsx?raw=true')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = raw_df.groupby(['account number', 'name'])['ext price'].sum().reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>ext price</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>141962</td>\n",
+       "      <td>Herman LLC</td>\n",
+       "      <td>63626.03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>99608.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>163416</td>\n",
+       "      <td>Purdy-Kunde</td>\n",
+       "      <td>77898.21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>137351.96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>239344</td>\n",
+       "      <td>Stokes LLC</td>\n",
+       "      <td>91535.92</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number          name  ext price\n",
+       "0          141962    Herman LLC   63626.03\n",
+       "1          146832  Kiehn-Spinka   99608.77\n",
+       "2          163416   Purdy-Kunde   77898.21\n",
+       "3          218895     Kulas Inc  137351.96\n",
+       "4          239344    Stokes LLC   91535.92"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A histogram is an example of binning data and showing the visual representation of the data distribution"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Introducing qcut"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f61c1ebae80>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df['ext price'].plot(kind='hist')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Describe shows how data can be cut by percentiles"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count        20.000000\n",
+       "mean     101711.287500\n",
+       "std       27037.449673\n",
+       "min       55733.050000\n",
+       "25%       89137.707500\n",
+       "50%      100271.535000\n",
+       "75%      110132.552500\n",
+       "max      184793.700000\n",
+       "Name: ext price, dtype: float64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['ext price'].describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here is an example of using [qcut](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.qcut.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     (55733.049000000006, 89137.708]\n",
+       "1             (89137.708, 100271.535]\n",
+       "2     (55733.049000000006, 89137.708]\n",
+       "3              (110132.552, 184793.7]\n",
+       "4             (89137.708, 100271.535]\n",
+       "5             (89137.708, 100271.535]\n",
+       "6     (55733.049000000006, 89137.708]\n",
+       "7            (100271.535, 110132.552]\n",
+       "8              (110132.552, 184793.7]\n",
+       "9              (110132.552, 184793.7]\n",
+       "10            (89137.708, 100271.535]\n",
+       "11    (55733.049000000006, 89137.708]\n",
+       "12    (55733.049000000006, 89137.708]\n",
+       "13            (89137.708, 100271.535]\n",
+       "14           (100271.535, 110132.552]\n",
+       "15             (110132.552, 184793.7]\n",
+       "16           (100271.535, 110132.552]\n",
+       "17             (110132.552, 184793.7]\n",
+       "18           (100271.535, 110132.552]\n",
+       "19           (100271.535, 110132.552]\n",
+       "Name: ext price, dtype: category\n",
+       "Categories (4, interval[float64]): [(55733.049000000006, 89137.708] < (89137.708, 100271.535] < (100271.535, 110132.552] < (110132.552, 184793.7]]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.qcut(df['ext price'], q=4)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Assign the results of the values back to the original dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['quantile_ex_1'] = pd.qcut(df['ext price'], q=4)\n",
+    "df['quantile_ex_2'] = pd.qcut(df['ext price'], q=10, precision=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>quantile_ex_1</th>\n",
+       "      <th>quantile_ex_2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>141962</td>\n",
+       "      <td>Herman LLC</td>\n",
+       "      <td>63626.03</td>\n",
+       "      <td>(55733.049000000006, 89137.708]</td>\n",
+       "      <td>(55732.0, 76471.0]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>99608.77</td>\n",
+       "      <td>(89137.708, 100271.535]</td>\n",
+       "      <td>(95908.0, 100272.0]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>163416</td>\n",
+       "      <td>Purdy-Kunde</td>\n",
+       "      <td>77898.21</td>\n",
+       "      <td>(55733.049000000006, 89137.708]</td>\n",
+       "      <td>(76471.0, 87168.0]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>137351.96</td>\n",
+       "      <td>(110132.552, 184793.7]</td>\n",
+       "      <td>(124778.0, 184794.0]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>239344</td>\n",
+       "      <td>Stokes LLC</td>\n",
+       "      <td>91535.92</td>\n",
+       "      <td>(89137.708, 100271.535]</td>\n",
+       "      <td>(90686.0, 95908.0]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number          name  ext price                    quantile_ex_1  \\\n",
+       "0          141962    Herman LLC   63626.03  (55733.049000000006, 89137.708]   \n",
+       "1          146832  Kiehn-Spinka   99608.77          (89137.708, 100271.535]   \n",
+       "2          163416   Purdy-Kunde   77898.21  (55733.049000000006, 89137.708]   \n",
+       "3          218895     Kulas Inc  137351.96           (110132.552, 184793.7]   \n",
+       "4          239344    Stokes LLC   91535.92          (89137.708, 100271.535]   \n",
+       "\n",
+       "          quantile_ex_2  \n",
+       "0    (55732.0, 76471.0]  \n",
+       "1   (95908.0, 100272.0]  \n",
+       "2    (76471.0, 87168.0]  \n",
+       "3  (124778.0, 184794.0]  \n",
+       "4    (90686.0, 95908.0]  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Look at the distribution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(110132.552, 184793.7]             5\n",
+       "(100271.535, 110132.552]           5\n",
+       "(89137.708, 100271.535]            5\n",
+       "(55733.049000000006, 89137.708]    5\n",
+       "Name: quantile_ex_1, dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['quantile_ex_1'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(124778.0, 184794.0]    2\n",
+       "(112290.0, 124778.0]    2\n",
+       "(105938.0, 112290.0]    2\n",
+       "(103606.0, 105938.0]    2\n",
+       "(100272.0, 103606.0]    2\n",
+       "(95908.0, 100272.0]     2\n",
+       "(90686.0, 95908.0]      2\n",
+       "(87168.0, 90686.0]      2\n",
+       "(76471.0, 87168.0]      2\n",
+       "(55732.0, 76471.0]      2\n",
+       "Name: quantile_ex_2, dtype: int64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['quantile_ex_2'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>quantile_ex_1</th>\n",
+       "      <th>quantile_ex_2</th>\n",
+       "      <th>quantile_ex_3</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>141962</td>\n",
+       "      <td>Herman LLC</td>\n",
+       "      <td>63626.03</td>\n",
+       "      <td>(55733.049000000006, 89137.708]</td>\n",
+       "      <td>(55732.0, 76471.0]</td>\n",
+       "      <td>Bronze</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>99608.77</td>\n",
+       "      <td>(89137.708, 100271.535]</td>\n",
+       "      <td>(95908.0, 100272.0]</td>\n",
+       "      <td>Gold</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>163416</td>\n",
+       "      <td>Purdy-Kunde</td>\n",
+       "      <td>77898.21</td>\n",
+       "      <td>(55733.049000000006, 89137.708]</td>\n",
+       "      <td>(76471.0, 87168.0]</td>\n",
+       "      <td>Bronze</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>137351.96</td>\n",
+       "      <td>(110132.552, 184793.7]</td>\n",
+       "      <td>(124778.0, 184794.0]</td>\n",
+       "      <td>Diamond</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>239344</td>\n",
+       "      <td>Stokes LLC</td>\n",
+       "      <td>91535.92</td>\n",
+       "      <td>(89137.708, 100271.535]</td>\n",
+       "      <td>(90686.0, 95908.0]</td>\n",
+       "      <td>Silver</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number          name  ext price                    quantile_ex_1  \\\n",
+       "0          141962    Herman LLC   63626.03  (55733.049000000006, 89137.708]   \n",
+       "1          146832  Kiehn-Spinka   99608.77          (89137.708, 100271.535]   \n",
+       "2          163416   Purdy-Kunde   77898.21  (55733.049000000006, 89137.708]   \n",
+       "3          218895     Kulas Inc  137351.96           (110132.552, 184793.7]   \n",
+       "4          239344    Stokes LLC   91535.92          (89137.708, 100271.535]   \n",
+       "\n",
+       "          quantile_ex_2 quantile_ex_3  \n",
+       "0    (55732.0, 76471.0]        Bronze  \n",
+       "1   (95908.0, 100272.0]          Gold  \n",
+       "2    (76471.0, 87168.0]        Bronze  \n",
+       "3  (124778.0, 184794.0]       Diamond  \n",
+       "4    (90686.0, 95908.0]        Silver  "
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bin_labels_5 = ['Bronze', 'Silver', 'Gold', 'Platinum', 'Diamond']\n",
+    "df['quantile_ex_3'] = pd.qcut(df['ext price'],\n",
+    "                              q=[0, .2, .4, .6, .8, 1],\n",
+    "                              labels=bin_labels_5)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Diamond     4\n",
+       "Platinum    4\n",
+       "Gold        4\n",
+       "Silver      4\n",
+       "Bronze      4\n",
+       "Name: quantile_ex_3, dtype: int64"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['quantile_ex_3'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results, bin_edges = pd.qcut(df['ext price'],\n",
+    "                             q=[0, .2, .4, .6, .8, 1],\n",
+    "                             labels=bin_labels_5,\n",
+    "                             retbins=True)\n",
+    "\n",
+    "results_table = pd.DataFrame(zip(bin_edges, bin_labels_5),\n",
+    "                             columns=['Threshold', 'Tier'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Threshold</th>\n",
+       "      <th>Tier</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>55733.050</td>\n",
+       "      <td>Bronze</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>87167.958</td>\n",
+       "      <td>Silver</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>95908.156</td>\n",
+       "      <td>Gold</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>103605.970</td>\n",
+       "      <td>Platinum</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>112290.054</td>\n",
+       "      <td>Diamond</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Threshold      Tier\n",
+       "0   55733.050    Bronze\n",
+       "1   87167.958    Silver\n",
+       "2   95908.156      Gold\n",
+       "3  103605.970  Platinum\n",
+       "4  112290.054   Diamond"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>quantile_ex_1</th>\n",
+       "      <th>quantile_ex_2</th>\n",
+       "      <th>quantile_ex_3</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>count</td>\n",
+       "      <td>20</td>\n",
+       "      <td>20</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>unique</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>top</td>\n",
+       "      <td>(110132.552, 184793.7]</td>\n",
+       "      <td>(124778.0, 184794.0]</td>\n",
+       "      <td>Diamond</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>freq</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 quantile_ex_1         quantile_ex_2 quantile_ex_3\n",
+       "count                       20                    20            20\n",
+       "unique                       4                    10             5\n",
+       "top     (110132.552, 184793.7]  (124778.0, 184794.0]       Diamond\n",
+       "freq                         5                     2             4"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe(include='category')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can pass the percentiles to use to describe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>ext price</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>count</td>\n",
+       "      <td>20.000000</td>\n",
+       "      <td>20.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>mean</td>\n",
+       "      <td>476998.750000</td>\n",
+       "      <td>101711.287500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>std</td>\n",
+       "      <td>231499.208970</td>\n",
+       "      <td>27037.449673</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>min</td>\n",
+       "      <td>141962.000000</td>\n",
+       "      <td>55733.050000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>0%</td>\n",
+       "      <td>141962.000000</td>\n",
+       "      <td>55733.050000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>33.3%</td>\n",
+       "      <td>332759.333333</td>\n",
+       "      <td>91241.493333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>50%</td>\n",
+       "      <td>476006.500000</td>\n",
+       "      <td>100271.535000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>66.7%</td>\n",
+       "      <td>662511.000000</td>\n",
+       "      <td>104178.580000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>100%</td>\n",
+       "      <td>786968.000000</td>\n",
+       "      <td>184793.700000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>max</td>\n",
+       "      <td>786968.000000</td>\n",
+       "      <td>184793.700000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       account number      ext price\n",
+       "count       20.000000      20.000000\n",
+       "mean    476998.750000  101711.287500\n",
+       "std     231499.208970   27037.449673\n",
+       "min     141962.000000   55733.050000\n",
+       "0%      141962.000000   55733.050000\n",
+       "33.3%   332759.333333   91241.493333\n",
+       "50%     476006.500000  100271.535000\n",
+       "66.7%   662511.000000  104178.580000\n",
+       "100%    786968.000000  184793.700000\n",
+       "max     786968.000000  184793.700000"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe(percentiles=[0, 1/3, 2/3, 1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "labels=False will return integers for each bin"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>quantile_ex_1</th>\n",
+       "      <th>quantile_ex_2</th>\n",
+       "      <th>quantile_ex_3</th>\n",
+       "      <th>quantile_ex_4</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>141962</td>\n",
+       "      <td>Herman LLC</td>\n",
+       "      <td>63626.03</td>\n",
+       "      <td>(55733.049000000006, 89137.708]</td>\n",
+       "      <td>(55732.0, 76471.0]</td>\n",
+       "      <td>Bronze</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>99608.77</td>\n",
+       "      <td>(89137.708, 100271.535]</td>\n",
+       "      <td>(95908.0, 100272.0]</td>\n",
+       "      <td>Gold</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>163416</td>\n",
+       "      <td>Purdy-Kunde</td>\n",
+       "      <td>77898.21</td>\n",
+       "      <td>(55733.049000000006, 89137.708]</td>\n",
+       "      <td>(76471.0, 87168.0]</td>\n",
+       "      <td>Bronze</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>137351.96</td>\n",
+       "      <td>(110132.552, 184793.7]</td>\n",
+       "      <td>(124778.0, 184794.0]</td>\n",
+       "      <td>Diamond</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>239344</td>\n",
+       "      <td>Stokes LLC</td>\n",
+       "      <td>91535.92</td>\n",
+       "      <td>(89137.708, 100271.535]</td>\n",
+       "      <td>(90686.0, 95908.0]</td>\n",
+       "      <td>Silver</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number          name  ext price                    quantile_ex_1  \\\n",
+       "0          141962    Herman LLC   63626.03  (55733.049000000006, 89137.708]   \n",
+       "1          146832  Kiehn-Spinka   99608.77          (89137.708, 100271.535]   \n",
+       "2          163416   Purdy-Kunde   77898.21  (55733.049000000006, 89137.708]   \n",
+       "3          218895     Kulas Inc  137351.96           (110132.552, 184793.7]   \n",
+       "4          239344    Stokes LLC   91535.92          (89137.708, 100271.535]   \n",
+       "\n",
+       "          quantile_ex_2 quantile_ex_3  quantile_ex_4  \n",
+       "0    (55732.0, 76471.0]        Bronze              0  \n",
+       "1   (95908.0, 100272.0]          Gold              2  \n",
+       "2    (76471.0, 87168.0]        Bronze              0  \n",
+       "3  (124778.0, 184794.0]       Diamond              4  \n",
+       "4    (90686.0, 95908.0]        Silver              1  "
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['quantile_ex_4'] = pd.qcut(df['ext price'],\n",
+    "                            q=[0, .2, .4, .6, .8, 1],\n",
+    "                            labels=False)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## cut"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Remove the added columns to make the examples shorter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df.drop(columns = ['quantile_ex_1','quantile_ex_2', 'quantile_ex_3', 'quantile_ex_4'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       (55603.989, 87998.212]\n",
+       "1      (87998.212, 120263.375]\n",
+       "2       (55603.989, 87998.212]\n",
+       "3     (120263.375, 152528.538]\n",
+       "4      (87998.212, 120263.375]\n",
+       "5      (87998.212, 120263.375]\n",
+       "6       (55603.989, 87998.212]\n",
+       "7      (87998.212, 120263.375]\n",
+       "8      (87998.212, 120263.375]\n",
+       "9       (152528.538, 184793.7]\n",
+       "10     (87998.212, 120263.375]\n",
+       "11      (55603.989, 87998.212]\n",
+       "12      (55603.989, 87998.212]\n",
+       "13     (87998.212, 120263.375]\n",
+       "14     (87998.212, 120263.375]\n",
+       "15    (120263.375, 152528.538]\n",
+       "16     (87998.212, 120263.375]\n",
+       "17     (87998.212, 120263.375]\n",
+       "18     (87998.212, 120263.375]\n",
+       "19     (87998.212, 120263.375]\n",
+       "Name: ext price, dtype: category\n",
+       "Categories (4, interval[float64]): [(55603.989, 87998.212] < (87998.212, 120263.375] < (120263.375, 152528.538] < (152528.538, 184793.7]]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.cut(df['ext price'], bins=4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(87998.212, 120263.375]     12\n",
+       "(55603.989, 87998.212]       5\n",
+       "(120263.375, 152528.538]     2\n",
+       "(152528.538, 184793.7]       1\n",
+       "Name: ext price, dtype: int64"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.cut(df['ext price'], bins=4).value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cut_labels_4 = ['silver', 'gold', 'platinum', 'diamond']\n",
+    "cut_bins = [0, 70000, 100000, 130000, 200000]\n",
+    "df['cut_ex1'] = pd.cut(df['ext price'], bins=cut_bins, labels=cut_labels_4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>cut_ex1</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>141962</td>\n",
+       "      <td>Herman LLC</td>\n",
+       "      <td>63626.03</td>\n",
+       "      <td>silver</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>99608.77</td>\n",
+       "      <td>gold</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>163416</td>\n",
+       "      <td>Purdy-Kunde</td>\n",
+       "      <td>77898.21</td>\n",
+       "      <td>gold</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>137351.96</td>\n",
+       "      <td>diamond</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>239344</td>\n",
+       "      <td>Stokes LLC</td>\n",
+       "      <td>91535.92</td>\n",
+       "      <td>gold</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number          name  ext price  cut_ex1\n",
+       "0          141962    Herman LLC   63626.03   silver\n",
+       "1          146832  Kiehn-Spinka   99608.77     gold\n",
+       "2          163416   Purdy-Kunde   77898.21     gold\n",
+       "3          218895     Kulas Inc  137351.96  diamond\n",
+       "4          239344    Stokes LLC   91535.92     gold"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can use nump.linspace to define the ranges"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([     0.,  25000.,  50000.,  75000., 100000., 125000., 150000.,\n",
+       "       175000., 200000.])"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.linspace(0, 200000, 9)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       (50000.0, 75000.0]\n",
+       "1      (75000.0, 100000.0]\n",
+       "2      (75000.0, 100000.0]\n",
+       "3     (125000.0, 150000.0]\n",
+       "4      (75000.0, 100000.0]\n",
+       "5      (75000.0, 100000.0]\n",
+       "6      (75000.0, 100000.0]\n",
+       "7     (100000.0, 125000.0]\n",
+       "8     (100000.0, 125000.0]\n",
+       "9     (175000.0, 200000.0]\n",
+       "10     (75000.0, 100000.0]\n",
+       "11      (50000.0, 75000.0]\n",
+       "12     (75000.0, 100000.0]\n",
+       "13     (75000.0, 100000.0]\n",
+       "14    (100000.0, 125000.0]\n",
+       "15    (100000.0, 125000.0]\n",
+       "16    (100000.0, 125000.0]\n",
+       "17    (100000.0, 125000.0]\n",
+       "18    (100000.0, 125000.0]\n",
+       "19    (100000.0, 125000.0]\n",
+       "Name: ext price, dtype: category\n",
+       "Categories (8, interval[float64]): [(0.0, 25000.0] < (25000.0, 50000.0] < (50000.0, 75000.0] < (75000.0, 100000.0] < (100000.0, 125000.0] < (125000.0, 150000.0] < (150000.0, 175000.0] < (175000.0, 200000.0]]"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.cut(df['ext price'], bins=np.linspace(0, 200000, 9))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "numpy arange is another option"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([     0,  10000,  20000,  30000,  40000,  50000,  60000,  70000,\n",
+       "        80000,  90000, 100000, 110000, 120000, 130000, 140000, 150000,\n",
+       "       160000, 170000, 180000, 190000])"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.arange(0, 200000, 10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "IntervalIndex([[0, 10000), [10000, 20000), [20000, 30000), [30000, 40000), [40000, 50000) ... [150000, 160000), [160000, 170000), [170000, 180000), [180000, 190000), [190000, 200000)],\n",
+       "              closed='left',\n",
+       "              dtype='interval[int64]')"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.interval_range(start=0, freq=10000, end=200000, closed='left')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>cut_ex1</th>\n",
+       "      <th>cut_ex2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>141962</td>\n",
+       "      <td>Herman LLC</td>\n",
+       "      <td>63626.03</td>\n",
+       "      <td>silver</td>\n",
+       "      <td>(60000, 70000]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>146832</td>\n",
+       "      <td>Kiehn-Spinka</td>\n",
+       "      <td>99608.77</td>\n",
+       "      <td>gold</td>\n",
+       "      <td>(90000, 100000]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>163416</td>\n",
+       "      <td>Purdy-Kunde</td>\n",
+       "      <td>77898.21</td>\n",
+       "      <td>gold</td>\n",
+       "      <td>(70000, 80000]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>137351.96</td>\n",
+       "      <td>diamond</td>\n",
+       "      <td>(130000, 140000]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>239344</td>\n",
+       "      <td>Stokes LLC</td>\n",
+       "      <td>91535.92</td>\n",
+       "      <td>gold</td>\n",
+       "      <td>(90000, 100000]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number          name  ext price  cut_ex1           cut_ex2\n",
+       "0          141962    Herman LLC   63626.03   silver    (60000, 70000]\n",
+       "1          146832  Kiehn-Spinka   99608.77     gold   (90000, 100000]\n",
+       "2          163416   Purdy-Kunde   77898.21     gold    (70000, 80000]\n",
+       "3          218895     Kulas Inc  137351.96  diamond  (130000, 140000]\n",
+       "4          239344    Stokes LLC   91535.92     gold   (90000, 100000]"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "interval_range = pd.interval_range(start=0, freq=10000, end=200000)\n",
+    "df['cut_ex2'] = pd.cut(df['ext price'], bins=interval_range, labels=[1,2,3])\n",
+    "df.head()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Pandas_Data_Types.ipynb b/notebooks/Pandas_Data_Types.ipynb
new file mode 100644
index 0000000..84eee0b
--- /dev/null
+++ b/notebooks/Pandas_Data_Types.ipynb
@@ -0,0 +1,1766 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Pandas Data Types\n",
+    "Accompanying the PB Python article [here](http://pbpython.com/pandas_dtypes.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"https://github.com/chris1610/pbpython/blob/master/data/sales_data_types.csv?raw=True\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Customer Number</th>\n",
+       "      <th>Customer Name</th>\n",
+       "      <th>2016</th>\n",
+       "      <th>2017</th>\n",
+       "      <th>Percent Growth</th>\n",
+       "      <th>Jan Units</th>\n",
+       "      <th>Month</th>\n",
+       "      <th>Day</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Active</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10002.0</td>\n",
+       "      <td>Quest Industries</td>\n",
+       "      <td>$125,000.00</td>\n",
+       "      <td>$162500.00</td>\n",
+       "      <td>30.00%</td>\n",
+       "      <td>500</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>552278.0</td>\n",
+       "      <td>Smith Plumbing</td>\n",
+       "      <td>$920,000.00</td>\n",
+       "      <td>$101,2000.00</td>\n",
+       "      <td>10.00%</td>\n",
+       "      <td>700</td>\n",
+       "      <td>6</td>\n",
+       "      <td>15</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>23477.0</td>\n",
+       "      <td>ACME Industrial</td>\n",
+       "      <td>$50,000.00</td>\n",
+       "      <td>$62500.00</td>\n",
+       "      <td>25.00%</td>\n",
+       "      <td>125</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>24900.0</td>\n",
+       "      <td>Brekke LTD</td>\n",
+       "      <td>$350,000.00</td>\n",
+       "      <td>$490000.00</td>\n",
+       "      <td>4.00%</td>\n",
+       "      <td>75</td>\n",
+       "      <td>10</td>\n",
+       "      <td>27</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>651029.0</td>\n",
+       "      <td>Harbor Co</td>\n",
+       "      <td>$15,000.00</td>\n",
+       "      <td>$12750.00</td>\n",
+       "      <td>-15.00%</td>\n",
+       "      <td>Closed</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Customer Number     Customer Name         2016          2017  \\\n",
+       "0          10002.0  Quest Industries  $125,000.00    $162500.00   \n",
+       "1         552278.0    Smith Plumbing  $920,000.00  $101,2000.00   \n",
+       "2          23477.0   ACME Industrial   $50,000.00     $62500.00   \n",
+       "3          24900.0        Brekke LTD  $350,000.00    $490000.00   \n",
+       "4         651029.0         Harbor Co   $15,000.00     $12750.00   \n",
+       "\n",
+       "  Percent Growth Jan Units  Month  Day  Year Active  \n",
+       "0         30.00%       500      1   10  2015      Y  \n",
+       "1         10.00%       700      6   15  2014      Y  \n",
+       "2         25.00%       125      3   29  2016      Y  \n",
+       "3          4.00%        75     10   27  2015      Y  \n",
+       "4        -15.00%    Closed      2    2  2014      N  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Use df.info and df.dtypes to look at the types that pandas automatically infers based on the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 5 entries, 0 to 4\n",
+      "Data columns (total 10 columns):\n",
+      "Customer Number    5 non-null float64\n",
+      "Customer Name      5 non-null object\n",
+      "2016               5 non-null object\n",
+      "2017               5 non-null object\n",
+      "Percent Growth     5 non-null object\n",
+      "Jan Units          5 non-null object\n",
+      "Month              5 non-null int64\n",
+      "Day                5 non-null int64\n",
+      "Year               5 non-null int64\n",
+      "Active             5 non-null object\n",
+      "dtypes: float64(1), int64(3), object(6)\n",
+      "memory usage: 480.0+ bytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Since the 2016 and 2017 columns were read in as objects, trying to add the values will result in string concatenation not numerical addition"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0      $125,000.00$162500.00\n",
+       "1    $920,000.00$101,2000.00\n",
+       "2        $50,000.00$62500.00\n",
+       "3      $350,000.00$490000.00\n",
+       "4        $15,000.00$12750.00\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['2016'] + df['2017']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The simplest way to to convert to a type is using astype.\n",
+    "\n",
+    "We can apply it to the customer number first."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     10002\n",
+       "1    552278\n",
+       "2     23477\n",
+       "3     24900\n",
+       "4    651029\n",
+       "Name: Customer Number, dtype: int64"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['Customer Number'].astype('int')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The code above does not alter the original dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Customer Number    float64\n",
+       "Customer Name       object\n",
+       "2016                object\n",
+       "2017                object\n",
+       "Percent Growth      object\n",
+       "Jan Units           object\n",
+       "Month                int64\n",
+       "Day                  int64\n",
+       "Year                 int64\n",
+       "Active              object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Assign the new integer customer number back to the original frame and check the type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Customer Number     int64\n",
+       "Customer Name      object\n",
+       "2016               object\n",
+       "2017               object\n",
+       "Percent Growth     object\n",
+       "Jan Units          object\n",
+       "Month               int64\n",
+       "Day                 int64\n",
+       "Year                int64\n",
+       "Active             object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"Customer Number\"] = df['Customer Number'].astype('int')\n",
+    "df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Customer Number</th>\n",
+       "      <th>Customer Name</th>\n",
+       "      <th>2016</th>\n",
+       "      <th>2017</th>\n",
+       "      <th>Percent Growth</th>\n",
+       "      <th>Jan Units</th>\n",
+       "      <th>Month</th>\n",
+       "      <th>Day</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Active</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10002</td>\n",
+       "      <td>Quest Industries</td>\n",
+       "      <td>$125,000.00</td>\n",
+       "      <td>$162500.00</td>\n",
+       "      <td>30.00%</td>\n",
+       "      <td>500</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>552278</td>\n",
+       "      <td>Smith Plumbing</td>\n",
+       "      <td>$920,000.00</td>\n",
+       "      <td>$101,2000.00</td>\n",
+       "      <td>10.00%</td>\n",
+       "      <td>700</td>\n",
+       "      <td>6</td>\n",
+       "      <td>15</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>23477</td>\n",
+       "      <td>ACME Industrial</td>\n",
+       "      <td>$50,000.00</td>\n",
+       "      <td>$62500.00</td>\n",
+       "      <td>25.00%</td>\n",
+       "      <td>125</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>24900</td>\n",
+       "      <td>Brekke LTD</td>\n",
+       "      <td>$350,000.00</td>\n",
+       "      <td>$490000.00</td>\n",
+       "      <td>4.00%</td>\n",
+       "      <td>75</td>\n",
+       "      <td>10</td>\n",
+       "      <td>27</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>651029</td>\n",
+       "      <td>Harbor Co</td>\n",
+       "      <td>$15,000.00</td>\n",
+       "      <td>$12750.00</td>\n",
+       "      <td>-15.00%</td>\n",
+       "      <td>Closed</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Customer Number     Customer Name         2016          2017  \\\n",
+       "0            10002  Quest Industries  $125,000.00    $162500.00   \n",
+       "1           552278    Smith Plumbing  $920,000.00  $101,2000.00   \n",
+       "2            23477   ACME Industrial   $50,000.00     $62500.00   \n",
+       "3            24900        Brekke LTD  $350,000.00    $490000.00   \n",
+       "4           651029         Harbor Co   $15,000.00     $12750.00   \n",
+       "\n",
+       "  Percent Growth Jan Units  Month  Day  Year Active  \n",
+       "0         30.00%       500      1   10  2015      Y  \n",
+       "1         10.00%       700      6   15  2014      Y  \n",
+       "2         25.00%       125      3   29  2016      Y  \n",
+       "3          4.00%        75     10   27  2015      Y  \n",
+       "4        -15.00%    Closed      2    2  2014      N  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The data all looks good for the Customer Number.\n",
+    "\n",
+    "If we try to convert the Jan Units column, we will get an error."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "invalid literal for int() with base 10: 'Closed'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-10-31333711e4a4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Jan Units'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'int'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    116\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    117\u001b[0m                     \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnew_arg_name\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_arg_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 118\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    119\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    120\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0m_deprecate_kwarg\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors, **kwargs)\u001b[0m\n\u001b[1;32m   4002\u001b[0m         \u001b[0;31m# else, only a single dtype is given\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4003\u001b[0m         new_data = self._data.astype(dtype=dtype, copy=copy, errors=errors,\n\u001b[0;32m-> 4004\u001b[0;31m                                      **kwargs)\n\u001b[0m\u001b[1;32m   4005\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_constructor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__finalize__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4006\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, **kwargs)\u001b[0m\n\u001b[1;32m   3460\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3461\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3462\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'astype'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3463\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3464\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mconvert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, f, axes, filter, do_integrity_check, consolidate, **kwargs)\u001b[0m\n\u001b[1;32m   3327\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3328\u001b[0m             \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'mgr'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3329\u001b[0;31m             \u001b[0mapplied\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3330\u001b[0m             \u001b[0mresult_blocks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_extend_blocks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mapplied\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult_blocks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3331\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors, values, **kwargs)\u001b[0m\n\u001b[1;32m    542\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'raise'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    543\u001b[0m         return self._astype(dtype, copy=copy, errors=errors, values=values,\n\u001b[0;32m--> 544\u001b[0;31m                             **kwargs)\n\u001b[0m\u001b[1;32m    545\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    546\u001b[0m     def _astype(self, dtype, copy=False, errors='raise', values=None,\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36m_astype\u001b[0;34m(self, dtype, copy, errors, values, klass, mgr, **kwargs)\u001b[0m\n\u001b[1;32m    623\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    624\u001b[0m                 \u001b[0;31m# _astype_nansafe works fine with 1-d only\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 625\u001b[0;31m                 \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mastype_nansafe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    626\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    627\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/dtypes/cast.py\u001b[0m in \u001b[0;36mastype_nansafe\u001b[0;34m(arr, dtype, copy)\u001b[0m\n\u001b[1;32m    690\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobject_\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0missubdtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minteger\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    691\u001b[0m         \u001b[0;31m# work around NumPy brokenness, #1987\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 692\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype_intsafe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    693\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    694\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\"datetime64\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"timedelta64\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/lib.pyx\u001b[0m in \u001b[0;36mpandas._libs.lib.astype_intsafe\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;32mpandas/_libs/src/util.pxd\u001b[0m in \u001b[0;36mutil.set_value_at_unsafe\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: 'Closed'"
+     ]
+    }
+   ],
+   "source": [
+    "df['Jan Units'].astype('int')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In a similar manner we get an error if we try to convert the sales column"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "could not convert string to float: '$15,000.00'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-11-999869d577b0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'2016'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'float'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    116\u001b[0m                 \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    117\u001b[0m                     \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnew_arg_name\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_arg_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 118\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    119\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    120\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0m_deprecate_kwarg\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors, **kwargs)\u001b[0m\n\u001b[1;32m   4002\u001b[0m         \u001b[0;31m# else, only a single dtype is given\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4003\u001b[0m         new_data = self._data.astype(dtype=dtype, copy=copy, errors=errors,\n\u001b[0;32m-> 4004\u001b[0;31m                                      **kwargs)\n\u001b[0m\u001b[1;32m   4005\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_constructor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__finalize__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   4006\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, **kwargs)\u001b[0m\n\u001b[1;32m   3460\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3461\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3462\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'astype'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3463\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3464\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mconvert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, f, axes, filter, do_integrity_check, consolidate, **kwargs)\u001b[0m\n\u001b[1;32m   3327\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3328\u001b[0m             \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'mgr'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3329\u001b[0;31m             \u001b[0mapplied\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3330\u001b[0m             \u001b[0mresult_blocks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_extend_blocks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mapplied\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult_blocks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3331\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors, values, **kwargs)\u001b[0m\n\u001b[1;32m    542\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'raise'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    543\u001b[0m         return self._astype(dtype, copy=copy, errors=errors, values=values,\n\u001b[0;32m--> 544\u001b[0;31m                             **kwargs)\n\u001b[0m\u001b[1;32m    545\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    546\u001b[0m     def _astype(self, dtype, copy=False, errors='raise', values=None,\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/internals.py\u001b[0m in \u001b[0;36m_astype\u001b[0;34m(self, dtype, copy, errors, values, klass, mgr, **kwargs)\u001b[0m\n\u001b[1;32m    623\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    624\u001b[0m                 \u001b[0;31m# _astype_nansafe works fine with 1-d only\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 625\u001b[0;31m                 \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mastype_nansafe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    626\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    627\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/pbp3/lib/python3.6/site-packages/pandas/core/dtypes/cast.py\u001b[0m in \u001b[0;36mastype_nansafe\u001b[0;34m(arr, dtype, copy)\u001b[0m\n\u001b[1;32m    701\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    702\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 703\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    704\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mview\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    705\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: could not convert string to float: '$15,000.00'"
+     ]
+    }
+   ],
+   "source": [
+    "df['2016'].astype('float')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can try to use astype with a bool type but that does not give expected results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    True\n",
+       "1    True\n",
+       "2    True\n",
+       "3    True\n",
+       "4    True\n",
+       "Name: Active, dtype: bool"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['Active'].astype('bool')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Customer Number     int64\n",
+       "Customer Name      object\n",
+       "2016               object\n",
+       "2017               object\n",
+       "Percent Growth     object\n",
+       "Jan Units          object\n",
+       "Month               int64\n",
+       "Day                 int64\n",
+       "Year                int64\n",
+       "Active             object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# astype can take a dictionary of column names and data types\n",
+    "df.astype({'Customer Number': 'int', 'Customer Name': 'str'}).dtypes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In order to convert the currency and percentages, we need to use custom functions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert_currency(val):\n",
+    "    \"\"\"\n",
+    "    Convert the string number value to a float\n",
+    "     - Remove $\n",
+    "     - Remove commas\n",
+    "     - Convert to float type\n",
+    "    \"\"\"\n",
+    "    new_val = val.replace(',','').replace('$', '')\n",
+    "    return float(new_val)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert_percent(val):\n",
+    "    \"\"\"\n",
+    "    Convert the percentage string to an actual floating point percent\n",
+    "    \"\"\"\n",
+    "    new_val = val.replace('%', '')\n",
+    "    return float(new_val) / 100"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Use apply to convert the 2016 and 2017 columns to floating point numbers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    125000.0\n",
+       "1    920000.0\n",
+       "2     50000.0\n",
+       "3    350000.0\n",
+       "4     15000.0\n",
+       "Name: 2016, dtype: float64"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['2016'].apply(convert_currency)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     162500.0\n",
+       "1    1012000.0\n",
+       "2      62500.0\n",
+       "3     490000.0\n",
+       "4      12750.0\n",
+       "Name: 2017, dtype: float64"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['2017'].apply(convert_currency)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We could use a lambda function as well but it may be more difficult for new users to understand"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    125000.0\n",
+       "1    920000.0\n",
+       "2     50000.0\n",
+       "3    350000.0\n",
+       "4     15000.0\n",
+       "Name: 2016, dtype: float64"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['2016'].apply(lambda x: x.replace('$', '').replace(',', '')).astype('float')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Assign the converted values back to the columns\n",
+    "df['2016'] = df['2016'].apply(convert_currency)\n",
+    "df['2017'] = df['2017'].apply(convert_currency)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Use a lambda function to convert the percentage strings to numbers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0.30\n",
+       "1    0.10\n",
+       "2    0.25\n",
+       "3    0.04\n",
+       "4   -0.15\n",
+       "Name: Percent Growth, dtype: float64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['Percent Growth'].apply(lambda x: x.replace('%', '')).astype('float') / 100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['Percent Growth'] = df['Percent Growth'].apply(convert_percent)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Customer Number      int64\n",
+       "Customer Name       object\n",
+       "2016               float64\n",
+       "2017               float64\n",
+       "Percent Growth     float64\n",
+       "Jan Units           object\n",
+       "Month                int64\n",
+       "Day                  int64\n",
+       "Year                 int64\n",
+       "Active              object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Customer Number</th>\n",
+       "      <th>Customer Name</th>\n",
+       "      <th>2016</th>\n",
+       "      <th>2017</th>\n",
+       "      <th>Percent Growth</th>\n",
+       "      <th>Jan Units</th>\n",
+       "      <th>Month</th>\n",
+       "      <th>Day</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Active</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10002</td>\n",
+       "      <td>Quest Industries</td>\n",
+       "      <td>125000.0</td>\n",
+       "      <td>162500.0</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>500</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>552278</td>\n",
+       "      <td>Smith Plumbing</td>\n",
+       "      <td>920000.0</td>\n",
+       "      <td>1012000.0</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>700</td>\n",
+       "      <td>6</td>\n",
+       "      <td>15</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>23477</td>\n",
+       "      <td>ACME Industrial</td>\n",
+       "      <td>50000.0</td>\n",
+       "      <td>62500.0</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>125</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>24900</td>\n",
+       "      <td>Brekke LTD</td>\n",
+       "      <td>350000.0</td>\n",
+       "      <td>490000.0</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>75</td>\n",
+       "      <td>10</td>\n",
+       "      <td>27</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>651029</td>\n",
+       "      <td>Harbor Co</td>\n",
+       "      <td>15000.0</td>\n",
+       "      <td>12750.0</td>\n",
+       "      <td>-0.15</td>\n",
+       "      <td>Closed</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Customer Number     Customer Name      2016       2017  Percent Growth  \\\n",
+       "0            10002  Quest Industries  125000.0   162500.0            0.30   \n",
+       "1           552278    Smith Plumbing  920000.0  1012000.0            0.10   \n",
+       "2            23477   ACME Industrial   50000.0    62500.0            0.25   \n",
+       "3            24900        Brekke LTD  350000.0   490000.0            0.04   \n",
+       "4           651029         Harbor Co   15000.0    12750.0           -0.15   \n",
+       "\n",
+       "  Jan Units  Month  Day  Year Active  \n",
+       "0       500      1   10  2015      Y  \n",
+       "1       700      6   15  2014      Y  \n",
+       "2       125      3   29  2016      Y  \n",
+       "3        75     10   27  2015      Y  \n",
+       "4    Closed      2    2  2014      N  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's look at the data so far\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "pd.to_numeric is another option for handling column conversions when invalid values are included"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    500.0\n",
+       "1    700.0\n",
+       "2    125.0\n",
+       "3     75.0\n",
+       "4      NaN\n",
+       "Name: Jan Units, dtype: float64"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.to_numeric(df['Jan Units'], errors='coerce')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    500.0\n",
+       "1    700.0\n",
+       "2    125.0\n",
+       "3     75.0\n",
+       "4      0.0\n",
+       "Name: Jan Units, dtype: float64"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Fill in the NaN with 0\n",
+    "pd.to_numeric(df['Jan Units'], errors='coerce').fillna(0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Make sure to populate the original column of data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[\"Jan Units\"] = pd.to_numeric(df['Jan Units'], errors='coerce').fillna(0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "pd.to_datetime is very useful for working with date conversions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0   2015-01-10\n",
+       "1   2014-06-15\n",
+       "2   2016-03-29\n",
+       "3   2015-10-27\n",
+       "4   2014-02-02\n",
+       "dtype: datetime64[ns]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.to_datetime(df[['Month', 'Day', 'Year']])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[\"Start_Date\"] = pd.to_datetime(df[['Month', 'Day', 'Year']])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Customer Number</th>\n",
+       "      <th>Customer Name</th>\n",
+       "      <th>2016</th>\n",
+       "      <th>2017</th>\n",
+       "      <th>Percent Growth</th>\n",
+       "      <th>Jan Units</th>\n",
+       "      <th>Month</th>\n",
+       "      <th>Day</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Active</th>\n",
+       "      <th>Start_Date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10002</td>\n",
+       "      <td>Quest Industries</td>\n",
+       "      <td>125000.0</td>\n",
+       "      <td>162500.0</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>500.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>2015-01-10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>552278</td>\n",
+       "      <td>Smith Plumbing</td>\n",
+       "      <td>920000.0</td>\n",
+       "      <td>1012000.0</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>700.0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>15</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>2014-06-15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>23477</td>\n",
+       "      <td>ACME Industrial</td>\n",
+       "      <td>50000.0</td>\n",
+       "      <td>62500.0</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>125.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>2016-03-29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>24900</td>\n",
+       "      <td>Brekke LTD</td>\n",
+       "      <td>350000.0</td>\n",
+       "      <td>490000.0</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>27</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>2015-10-27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>651029</td>\n",
+       "      <td>Harbor Co</td>\n",
+       "      <td>15000.0</td>\n",
+       "      <td>12750.0</td>\n",
+       "      <td>-0.15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>N</td>\n",
+       "      <td>2014-02-02</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Customer Number     Customer Name      2016       2017  Percent Growth  \\\n",
+       "0            10002  Quest Industries  125000.0   162500.0            0.30   \n",
+       "1           552278    Smith Plumbing  920000.0  1012000.0            0.10   \n",
+       "2            23477   ACME Industrial   50000.0    62500.0            0.25   \n",
+       "3            24900        Brekke LTD  350000.0   490000.0            0.04   \n",
+       "4           651029         Harbor Co   15000.0    12750.0           -0.15   \n",
+       "\n",
+       "   Jan Units  Month  Day  Year Active Start_Date  \n",
+       "0      500.0      1   10  2015      Y 2015-01-10  \n",
+       "1      700.0      6   15  2014      Y 2014-06-15  \n",
+       "2      125.0      3   29  2016      Y 2016-03-29  \n",
+       "3       75.0     10   27  2015      Y 2015-10-27  \n",
+       "4        0.0      2    2  2014      N 2014-02-02  "
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Check out the dataframe\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Use np.where to convert the active column to a boolean"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[\"Active\"] = np.where(df[\"Active\"] == \"Y\", True, False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Customer Number</th>\n",
+       "      <th>Customer Name</th>\n",
+       "      <th>2016</th>\n",
+       "      <th>2017</th>\n",
+       "      <th>Percent Growth</th>\n",
+       "      <th>Jan Units</th>\n",
+       "      <th>Month</th>\n",
+       "      <th>Day</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Active</th>\n",
+       "      <th>Start_Date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10002</td>\n",
+       "      <td>Quest Industries</td>\n",
+       "      <td>125000.0</td>\n",
+       "      <td>162500.0</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>500.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2015-01-10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>552278</td>\n",
+       "      <td>Smith Plumbing</td>\n",
+       "      <td>920000.0</td>\n",
+       "      <td>1012000.0</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>700.0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>15</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2014-06-15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>23477</td>\n",
+       "      <td>ACME Industrial</td>\n",
+       "      <td>50000.0</td>\n",
+       "      <td>62500.0</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>125.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2016-03-29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>24900</td>\n",
+       "      <td>Brekke LTD</td>\n",
+       "      <td>350000.0</td>\n",
+       "      <td>490000.0</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>27</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2015-10-27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>651029</td>\n",
+       "      <td>Harbor Co</td>\n",
+       "      <td>15000.0</td>\n",
+       "      <td>12750.0</td>\n",
+       "      <td>-0.15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2014-02-02</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Customer Number     Customer Name      2016       2017  Percent Growth  \\\n",
+       "0            10002  Quest Industries  125000.0   162500.0            0.30   \n",
+       "1           552278    Smith Plumbing  920000.0  1012000.0            0.10   \n",
+       "2            23477   ACME Industrial   50000.0    62500.0            0.25   \n",
+       "3            24900        Brekke LTD  350000.0   490000.0            0.04   \n",
+       "4           651029         Harbor Co   15000.0    12750.0           -0.15   \n",
+       "\n",
+       "   Jan Units  Month  Day  Year  Active Start_Date  \n",
+       "0      500.0      1   10  2015    True 2015-01-10  \n",
+       "1      700.0      6   15  2014    True 2014-06-15  \n",
+       "2      125.0      3   29  2016    True 2016-03-29  \n",
+       "3       75.0     10   27  2015    True 2015-10-27  \n",
+       "4        0.0      2    2  2014   False 2014-02-02  "
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Customer Number             int64\n",
+       "Customer Name              object\n",
+       "2016                      float64\n",
+       "2017                      float64\n",
+       "Percent Growth            float64\n",
+       "Jan Units                 float64\n",
+       "Month                       int64\n",
+       "Day                         int64\n",
+       "Year                        int64\n",
+       "Active                       bool\n",
+       "Start_Date         datetime64[ns]\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.dtypes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Many of the examples shown above can be used when reading in data using dtypes or converters arguments"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_2 = pd.read_csv(\"https://github.com/chris1610/pbpython/blob/master/data/sales_data_types.csv?raw=True\", \n",
+    "                   dtype={'Customer Number':'int'},\n",
+    "                   converters={'2016':convert_currency,\n",
+    "                               '2017': convert_currency,\n",
+    "                               'Percent Growth': convert_percent,\n",
+    "                               'Jan Units': lambda x: pd.to_numeric(x, errors='coerce'),\n",
+    "                               'Active': lambda x: np.where(x == \"Y\", True, False)\n",
+    "                              })"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Customer Number      int64\n",
+       "Customer Name       object\n",
+       "2016               float64\n",
+       "2017               float64\n",
+       "Percent Growth     float64\n",
+       "Jan Units          float64\n",
+       "Month                int64\n",
+       "Day                  int64\n",
+       "Year                 int64\n",
+       "Active              object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_2.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Customer Number</th>\n",
+       "      <th>Customer Name</th>\n",
+       "      <th>2016</th>\n",
+       "      <th>2017</th>\n",
+       "      <th>Percent Growth</th>\n",
+       "      <th>Jan Units</th>\n",
+       "      <th>Month</th>\n",
+       "      <th>Day</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Active</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10002</td>\n",
+       "      <td>Quest Industries</td>\n",
+       "      <td>125000.0</td>\n",
+       "      <td>162500.0</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>500.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>552278</td>\n",
+       "      <td>Smith Plumbing</td>\n",
+       "      <td>920000.0</td>\n",
+       "      <td>1012000.0</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>700.0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>15</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>23477</td>\n",
+       "      <td>ACME Industrial</td>\n",
+       "      <td>50000.0</td>\n",
+       "      <td>62500.0</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>125.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>24900</td>\n",
+       "      <td>Brekke LTD</td>\n",
+       "      <td>350000.0</td>\n",
+       "      <td>490000.0</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>27</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>651029</td>\n",
+       "      <td>Harbor Co</td>\n",
+       "      <td>15000.0</td>\n",
+       "      <td>12750.0</td>\n",
+       "      <td>-0.15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Customer Number     Customer Name      2016       2017  Percent Growth  \\\n",
+       "0            10002  Quest Industries  125000.0   162500.0            0.30   \n",
+       "1           552278    Smith Plumbing  920000.0  1012000.0            0.10   \n",
+       "2            23477   ACME Industrial   50000.0    62500.0            0.25   \n",
+       "3            24900        Brekke LTD  350000.0   490000.0            0.04   \n",
+       "4           651029         Harbor Co   15000.0    12750.0           -0.15   \n",
+       "\n",
+       "   Jan Units  Month  Day  Year Active  \n",
+       "0      500.0      1   10  2015   True  \n",
+       "1      700.0      6   15  2014   True  \n",
+       "2      125.0      3   29  2016   True  \n",
+       "3       75.0     10   27  2015   True  \n",
+       "4        NaN      2    2  2014  False  "
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# This can not be applied at the time the data is read in\n",
+    "df_2[\"Start_Date\"] = pd.to_datetime(df_2[['Month', 'Day', 'Year']])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Customer Number</th>\n",
+       "      <th>Customer Name</th>\n",
+       "      <th>2016</th>\n",
+       "      <th>2017</th>\n",
+       "      <th>Percent Growth</th>\n",
+       "      <th>Jan Units</th>\n",
+       "      <th>Month</th>\n",
+       "      <th>Day</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Active</th>\n",
+       "      <th>Start_Date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10002</td>\n",
+       "      <td>Quest Industries</td>\n",
+       "      <td>125000.0</td>\n",
+       "      <td>162500.0</td>\n",
+       "      <td>0.30</td>\n",
+       "      <td>500.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2015-01-10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>552278</td>\n",
+       "      <td>Smith Plumbing</td>\n",
+       "      <td>920000.0</td>\n",
+       "      <td>1012000.0</td>\n",
+       "      <td>0.10</td>\n",
+       "      <td>700.0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>15</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2014-06-15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>23477</td>\n",
+       "      <td>ACME Industrial</td>\n",
+       "      <td>50000.0</td>\n",
+       "      <td>62500.0</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>125.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2016-03-29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>24900</td>\n",
+       "      <td>Brekke LTD</td>\n",
+       "      <td>350000.0</td>\n",
+       "      <td>490000.0</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>27</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2015-10-27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>651029</td>\n",
+       "      <td>Harbor Co</td>\n",
+       "      <td>15000.0</td>\n",
+       "      <td>12750.0</td>\n",
+       "      <td>-0.15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2014-02-02</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Customer Number     Customer Name      2016       2017  Percent Growth  \\\n",
+       "0            10002  Quest Industries  125000.0   162500.0            0.30   \n",
+       "1           552278    Smith Plumbing  920000.0  1012000.0            0.10   \n",
+       "2            23477   ACME Industrial   50000.0    62500.0            0.25   \n",
+       "3            24900        Brekke LTD  350000.0   490000.0            0.04   \n",
+       "4           651029         Harbor Co   15000.0    12750.0           -0.15   \n",
+       "\n",
+       "   Jan Units  Month  Day  Year Active Start_Date  \n",
+       "0      500.0      1   10  2015   True 2015-01-10  \n",
+       "1      700.0      6   15  2014   True 2014-06-15  \n",
+       "2      125.0      3   29  2016   True 2016-03-29  \n",
+       "3       75.0     10   27  2015   True 2015-10-27  \n",
+       "4        NaN      2    2  2014  False 2014-02-02  "
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_2"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Process_Wine_File.ipynb b/notebooks/Process_Wine_File.ipynb
new file mode 100644
index 0000000..4457e8b
--- /dev/null
+++ b/notebooks/Process_Wine_File.ipynb
@@ -0,0 +1,746 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Process the Wine Review file from [Kaggle](https://www.kaggle.com/zynicide/wine-reviews)\n",
+    "\n",
+    "* Do some very high level exploration of the data\n",
+    "* Filter data down to only include wines from Australia \n",
+    "* Other minor changes to support plotting \n",
+    "\n",
+    "This notebook is a companion to the post at [Practical Business Python](http://pbpython.com/wine_visualization.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from bokeh.palettes import viridis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Download and unpack the file from https://www.kaggle.com/zynicide/wine-reviews/data\n",
+    "df = pd.read_csv('winemag-data-130k-v2.csv', index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>country</th>\n",
+       "      <th>description</th>\n",
+       "      <th>designation</th>\n",
+       "      <th>points</th>\n",
+       "      <th>price</th>\n",
+       "      <th>province</th>\n",
+       "      <th>region_1</th>\n",
+       "      <th>region_2</th>\n",
+       "      <th>taster_name</th>\n",
+       "      <th>taster_twitter_handle</th>\n",
+       "      <th>title</th>\n",
+       "      <th>variety</th>\n",
+       "      <th>winery</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Italy</td>\n",
+       "      <td>Aromas include tropical fruit, broom, brimston...</td>\n",
+       "      <td>Vulkà Bianco</td>\n",
+       "      <td>87</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sicily &amp; Sardinia</td>\n",
+       "      <td>Etna</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Kerin O’Keefe</td>\n",
+       "      <td>@kerinokeefe</td>\n",
+       "      <td>Nicosia 2013 Vulkà Bianco  (Etna)</td>\n",
+       "      <td>White Blend</td>\n",
+       "      <td>Nicosia</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Portugal</td>\n",
+       "      <td>This is ripe and fruity, a wine that is smooth...</td>\n",
+       "      <td>Avidagos</td>\n",
+       "      <td>87</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>Douro</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Roger Voss</td>\n",
+       "      <td>@vossroger</td>\n",
+       "      <td>Quinta dos Avidagos 2011 Avidagos Red (Douro)</td>\n",
+       "      <td>Portuguese Red</td>\n",
+       "      <td>Quinta dos Avidagos</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>US</td>\n",
+       "      <td>Tart and snappy, the flavors of lime flesh and...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>87</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>Willamette Valley</td>\n",
+       "      <td>Willamette Valley</td>\n",
+       "      <td>Paul Gregutt</td>\n",
+       "      <td>@paulgwine</td>\n",
+       "      <td>Rainstorm 2013 Pinot Gris (Willamette Valley)</td>\n",
+       "      <td>Pinot Gris</td>\n",
+       "      <td>Rainstorm</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>US</td>\n",
+       "      <td>Pineapple rind, lemon pith and orange blossom ...</td>\n",
+       "      <td>Reserve Late Harvest</td>\n",
+       "      <td>87</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>Michigan</td>\n",
+       "      <td>Lake Michigan Shore</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Alexander Peartree</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>St. Julian 2013 Reserve Late Harvest Riesling ...</td>\n",
+       "      <td>Riesling</td>\n",
+       "      <td>St. Julian</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>US</td>\n",
+       "      <td>Much like the regular bottling from 2012, this...</td>\n",
+       "      <td>Vintner's Reserve Wild Child Block</td>\n",
+       "      <td>87</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>Willamette Valley</td>\n",
+       "      <td>Willamette Valley</td>\n",
+       "      <td>Paul Gregutt</td>\n",
+       "      <td>@paulgwine</td>\n",
+       "      <td>Sweet Cheeks 2012 Vintner's Reserve Wild Child...</td>\n",
+       "      <td>Pinot Noir</td>\n",
+       "      <td>Sweet Cheeks</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    country                                        description  \\\n",
+       "0     Italy  Aromas include tropical fruit, broom, brimston...   \n",
+       "1  Portugal  This is ripe and fruity, a wine that is smooth...   \n",
+       "2        US  Tart and snappy, the flavors of lime flesh and...   \n",
+       "3        US  Pineapple rind, lemon pith and orange blossom ...   \n",
+       "4        US  Much like the regular bottling from 2012, this...   \n",
+       "\n",
+       "                          designation  points  price           province  \\\n",
+       "0                        Vulkà Bianco      87    NaN  Sicily & Sardinia   \n",
+       "1                            Avidagos      87   15.0              Douro   \n",
+       "2                                 NaN      87   14.0             Oregon   \n",
+       "3                Reserve Late Harvest      87   13.0           Michigan   \n",
+       "4  Vintner's Reserve Wild Child Block      87   65.0             Oregon   \n",
+       "\n",
+       "              region_1           region_2         taster_name  \\\n",
+       "0                 Etna                NaN       Kerin O’Keefe   \n",
+       "1                  NaN                NaN          Roger Voss   \n",
+       "2    Willamette Valley  Willamette Valley        Paul Gregutt   \n",
+       "3  Lake Michigan Shore                NaN  Alexander Peartree   \n",
+       "4    Willamette Valley  Willamette Valley        Paul Gregutt   \n",
+       "\n",
+       "  taster_twitter_handle                                              title  \\\n",
+       "0          @kerinokeefe                  Nicosia 2013 Vulkà Bianco  (Etna)   \n",
+       "1            @vossroger      Quinta dos Avidagos 2011 Avidagos Red (Douro)   \n",
+       "2           @paulgwine       Rainstorm 2013 Pinot Gris (Willamette Valley)   \n",
+       "3                   NaN  St. Julian 2013 Reserve Late Harvest Riesling ...   \n",
+       "4           @paulgwine   Sweet Cheeks 2012 Vintner's Reserve Wild Child...   \n",
+       "\n",
+       "          variety               winery  \n",
+       "0     White Blend              Nicosia  \n",
+       "1  Portuguese Red  Quinta dos Avidagos  \n",
+       "2      Pinot Gris            Rainstorm  \n",
+       "3        Riesling           St. Julian  \n",
+       "4      Pinot Noir         Sweet Cheeks  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "US              54504\n",
+       "France          22093\n",
+       "Italy           19540\n",
+       "Spain            6645\n",
+       "Portugal         5691\n",
+       "Chile            4472\n",
+       "Argentina        3800\n",
+       "Austria          3345\n",
+       "Australia        2329\n",
+       "Germany          2165\n",
+       "New Zealand      1419\n",
+       "South Africa     1401\n",
+       "Israel            505\n",
+       "Greece            466\n",
+       "Canada            257\n",
+       "Name: country, dtype: int64"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's see the top 15 Countries\n",
+    "df.country.value_counts()[:15]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Parse out just the Australian wines\n",
+    "df_Aussie = df[df.country == \"Australia\"].copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>points</th>\n",
+       "      <th>price</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>2329.000000</td>\n",
+       "      <td>2294.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>88.580507</td>\n",
+       "      <td>35.437663</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>2.989900</td>\n",
+       "      <td>49.049458</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>80.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>87.000000</td>\n",
+       "      <td>15.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>89.000000</td>\n",
+       "      <td>21.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>91.000000</td>\n",
+       "      <td>38.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>850.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            points        price\n",
+       "count  2329.000000  2294.000000\n",
+       "mean     88.580507    35.437663\n",
+       "std       2.989900    49.049458\n",
+       "min      80.000000     5.000000\n",
+       "25%      87.000000    15.000000\n",
+       "50%      89.000000    21.000000\n",
+       "75%      91.000000    38.000000\n",
+       "max     100.000000   850.000000"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's see what the price and point distribution looks like\n",
+    "df_Aussie.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "country                  False\n",
+       "description              False\n",
+       "designation               True\n",
+       "points                   False\n",
+       "price                     True\n",
+       "province                 False\n",
+       "region_1                  True\n",
+       "region_2                  True\n",
+       "taster_name               True\n",
+       "taster_twitter_handle     True\n",
+       "title                    False\n",
+       "variety                  False\n",
+       "winery                   False\n",
+       "dtype: bool"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's see where null values might be\n",
+    "df_Aussie.isnull().any()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For this analysis, price and points are going to be most important. Let's see how many null prices there are"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "35"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(df_Aussie[df_Aussie.price.isnull()])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# We can drop these or fill with the average. For the sake of this analysis, I'll fill with the mean\n",
+    "df_Aussie['price'].fillna((df_Aussie['price'].mean()), inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Double check\n",
+    "len(df_Aussie[df_Aussie.price.isnull()])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# There are a couple of titles that are duplicated and it causes minor problems when plotting. \n",
+    "df_Aussie.drop_duplicates(subset=['title'], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "South Australia      1268\n",
+       "Victoria              293\n",
+       "Western Australia     274\n",
+       "Australia Other       230\n",
+       "New South Wales        82\n",
+       "Tasmania               36\n",
+       "Name: province, dtype: int64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# One way we will filter the data is by province. Let's see how many there are\n",
+    "df_Aussie.province.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Shiraz                       583\n",
+       "Chardonnay                   378\n",
+       "Cabernet Sauvignon           255\n",
+       "Riesling                     142\n",
+       "Pinot Noir                   119\n",
+       "Grenache                      72\n",
+       "Red Blend                     58\n",
+       "Sauvignon Blanc               50\n",
+       "Shiraz-Viognier               38\n",
+       "Viognier                      32\n",
+       "Sparkling Blend               31\n",
+       "Shiraz-Cabernet Sauvignon     29\n",
+       "Bordeaux-style Red Blend      28\n",
+       "Rosé                          25\n",
+       "Pinot Grigio                  25\n",
+       "Name: variety, dtype: int64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# It will be nice to color code the plot by the different varieties\n",
+    "df_Aussie.variety.value_counts()[:15]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Use the viridis pallette and create a column that contains the desired color\n",
+    "varieties = list(df_Aussie.variety.unique())\n",
+    "colors = viridis(len(varieties))\n",
+    "color_map = dict(zip(varieties, colors))\n",
+    "df_Aussie[\"variety_color\"] = df_Aussie[\"variety\"].map(color_map)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>country</th>\n",
+       "      <th>description</th>\n",
+       "      <th>designation</th>\n",
+       "      <th>points</th>\n",
+       "      <th>price</th>\n",
+       "      <th>province</th>\n",
+       "      <th>region_1</th>\n",
+       "      <th>region_2</th>\n",
+       "      <th>taster_name</th>\n",
+       "      <th>taster_twitter_handle</th>\n",
+       "      <th>title</th>\n",
+       "      <th>variety</th>\n",
+       "      <th>winery</th>\n",
+       "      <th>variety_color</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>77</th>\n",
+       "      <td>Australia</td>\n",
+       "      <td>This medium-bodied Chardonnay features aromas ...</td>\n",
+       "      <td>Made With Organic Grapes</td>\n",
+       "      <td>86</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>South Australia</td>\n",
+       "      <td>South Australia</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Joe Czerwinski</td>\n",
+       "      <td>@JoeCz</td>\n",
+       "      <td>Yalumba 2016 Made With Organic Grapes Chardonn...</td>\n",
+       "      <td>Chardonnay</td>\n",
+       "      <td>Yalumba</td>\n",
+       "      <td>#440154</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>83</th>\n",
+       "      <td>Australia</td>\n",
+       "      <td>Pale copper in hue, this wine exudes passion f...</td>\n",
+       "      <td>Jester Sangiovese</td>\n",
+       "      <td>86</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>South Australia</td>\n",
+       "      <td>McLaren Vale</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Joe Czerwinski</td>\n",
+       "      <td>@JoeCz</td>\n",
+       "      <td>Mitolo 2016 Jester Sangiovese Rosé (McLaren Vale)</td>\n",
+       "      <td>Rosé</td>\n",
+       "      <td>Mitolo</td>\n",
+       "      <td>#450558</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>123</th>\n",
+       "      <td>Australia</td>\n",
+       "      <td>The blend is roughly two-thirds Shiraz and one...</td>\n",
+       "      <td>Parson's Flat</td>\n",
+       "      <td>92</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>South Australia</td>\n",
+       "      <td>Padthaway</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Joe Czerwinski</td>\n",
+       "      <td>@JoeCz</td>\n",
+       "      <td>Henry's Drive Vignerons 2006 Parson's Flat Shi...</td>\n",
+       "      <td>Shiraz-Cabernet Sauvignon</td>\n",
+       "      <td>Henry's Drive Vignerons</td>\n",
+       "      <td>#460B5E</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>191</th>\n",
+       "      <td>Australia</td>\n",
+       "      <td>From the little-known region of Padthaway, thi...</td>\n",
+       "      <td>The Trial of John Montford</td>\n",
+       "      <td>87</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>South Australia</td>\n",
+       "      <td>Padthaway</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Joe Czerwinski</td>\n",
+       "      <td>@JoeCz</td>\n",
+       "      <td>Henry's Drive Vignerons 2006 The Trial of John...</td>\n",
+       "      <td>Cabernet Sauvignon</td>\n",
+       "      <td>Henry's Drive Vignerons</td>\n",
+       "      <td>#471163</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>232</th>\n",
+       "      <td>Australia</td>\n",
+       "      <td>Lifted cedar and pine notes interspersed with ...</td>\n",
+       "      <td>Red Belly Black</td>\n",
+       "      <td>85</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>South Australia</td>\n",
+       "      <td>South Australia</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Angove's 2006 Red Belly Black Shiraz (South Au...</td>\n",
+       "      <td>Shiraz</td>\n",
+       "      <td>Angove's</td>\n",
+       "      <td>#471669</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       country                                        description  \\\n",
+       "77   Australia  This medium-bodied Chardonnay features aromas ...   \n",
+       "83   Australia  Pale copper in hue, this wine exudes passion f...   \n",
+       "123  Australia  The blend is roughly two-thirds Shiraz and one...   \n",
+       "191  Australia  From the little-known region of Padthaway, thi...   \n",
+       "232  Australia  Lifted cedar and pine notes interspersed with ...   \n",
+       "\n",
+       "                    designation  points  price         province  \\\n",
+       "77     Made With Organic Grapes      86   18.0  South Australia   \n",
+       "83            Jester Sangiovese      86   20.0  South Australia   \n",
+       "123               Parson's Flat      92   40.0  South Australia   \n",
+       "191  The Trial of John Montford      87   30.0  South Australia   \n",
+       "232             Red Belly Black      85   12.0  South Australia   \n",
+       "\n",
+       "            region_1 region_2     taster_name taster_twitter_handle  \\\n",
+       "77   South Australia      NaN  Joe Czerwinski                @JoeCz   \n",
+       "83      McLaren Vale      NaN  Joe Czerwinski                @JoeCz   \n",
+       "123        Padthaway      NaN  Joe Czerwinski                @JoeCz   \n",
+       "191        Padthaway      NaN  Joe Czerwinski                @JoeCz   \n",
+       "232  South Australia      NaN             NaN                   NaN   \n",
+       "\n",
+       "                                                 title  \\\n",
+       "77   Yalumba 2016 Made With Organic Grapes Chardonn...   \n",
+       "83   Mitolo 2016 Jester Sangiovese Rosé (McLaren Vale)   \n",
+       "123  Henry's Drive Vignerons 2006 Parson's Flat Shi...   \n",
+       "191  Henry's Drive Vignerons 2006 The Trial of John...   \n",
+       "232  Angove's 2006 Red Belly Black Shiraz (South Au...   \n",
+       "\n",
+       "                       variety                   winery variety_color  \n",
+       "77                  Chardonnay                  Yalumba       #440154  \n",
+       "83                        Rosé                   Mitolo       #450558  \n",
+       "123  Shiraz-Cabernet Sauvignon  Henry's Drive Vignerons       #460B5E  \n",
+       "191         Cabernet Sauvignon  Henry's Drive Vignerons       #471163  \n",
+       "232                     Shiraz                 Angove's       #471669  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_Aussie.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save the filtered and processed file to be used in our bokeh plot\n",
+    "df_Aussie.to_csv(\"Aussie_Wines_Plotting.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [default]",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Prophet-Accuracy-Check.ipynb b/notebooks/Prophet-Accuracy-Check.ipynb
index ffe522a..5185d93 100644
--- a/notebooks/Prophet-Accuracy-Check.ipynb
+++ b/notebooks/Prophet-Accuracy-Check.ipynb
@@ -60,6 +60,19 @@
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -167,7 +180,7 @@
    },
    "outputs": [],
    "source": [
-    "actual = pd.read_excel('Traffic_20170306-20170519.xlsx')\n",
+    "actual = pd.read_excel('https://github.com/chris1610/pbpython/blob/master/data/Traffic_20170306-20170519.xlsx?raw=True')\n",
     "actual.columns = [\"ds\", \"Actual_Sessions\"]"
    ]
   },
@@ -180,6 +193,19 @@
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -252,6 +278,19 @@
      "data": {
       "text/html": [
        "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -398,7 +437,7 @@
      "data": {
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IlgBGBCgJYIQQIli5ZmDqSeIFiJbtBETgkgBGCCGClWsGpp4yamQ7ARHYJIARQohg1dgM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\nQLoNva6sVQAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa91a869f28>"
+       "<matplotlib.figure.Figure at 0x7f41b6edbc18>"
       ]
      },
      "metadata": {},
@@ -425,9 +464,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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lFZ577jn69etHQUGBI2iyW79+PZqm8fnnn5OWlsZtt93GV199BcD+/fv59NNP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XeiXbKnJZILYzM3lhvcNd1Q/WWmzQYE3e9twdr4O+Qj31Py/cq/QETKg/M9jiG7btvB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\n/e9/n7y8PE6cOMHevXspLCwct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ERIQjG/TnP/+Ze++9l1mzZpGYmMjevXsr1fpUp2/fvnz++eecOHGCYcOGkZiYyMqVK/Hy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\nk6PRaDQajWZMop0cjUaj0Wg0Y5L/DymTKPpLFHfgAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fa91a53aa20>"
+       "<matplotlib.figure.Figure at 0x7f41b6ed2208>"
       ]
      },
      "metadata": {},
@@ -441,6 +480,15 @@
     "ax.set(title='Pbpython Traffic Prediction Accuracy', xlabel='', ylabel='Sessions')\n",
     "fig.autofmt_xdate(bottom=0.2, rotation=30, ha='right')"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/notebooks/Record-Linking-Fuzzy-Matching.ipynb b/notebooks/Record-Linking-Fuzzy-Matching.ipynb
new file mode 100644
index 0000000..9025413
--- /dev/null
+++ b/notebooks/Record-Linking-Fuzzy-Matching.ipynb
@@ -0,0 +1,3421 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Python Tools for Record Linking and Fuzzy Matching\n",
+    "\n",
+    "This notebook accompanies the [article](https://pbpython.com/record-linking.html) on Practical Business Python\n",
+    "\n",
+    "This notebook relies on [fuzzymatcher](https://github.com/RobinL/fuzzymatcher) and the [Python Record Linkage Toolkit](https://recordlinkage.readthedocs.io/en/latest/about.html)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from pathlib import Path\n",
+    "import fuzzymatcher\n",
+    "import recordlinkage"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Example using fuzzymatcher"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hospital_accounts = pd.read_csv(\n",
+    "    'https://github.com/chris1610/pbpython/raw/master/data/hospital_account_info.csv'\n",
+    ")\n",
+    "hospital_reimbursement = pd.read_csv(\n",
+    "    'https://raw.githubusercontent.com/chris1610/pbpython/master/data/hospital_reimbursement.csv'\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th>Facility Name</th>\n",
+       "      <th>Address</th>\n",
+       "      <th>City</th>\n",
+       "      <th>State</th>\n",
+       "      <th>ZIP Code</th>\n",
+       "      <th>County Name</th>\n",
+       "      <th>Phone Number</th>\n",
+       "      <th>Hospital Type</th>\n",
+       "      <th>Hospital Ownership</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10605</td>\n",
+       "      <td>SAGE MEMORIAL HOSPITAL</td>\n",
+       "      <td>STATE ROUTE 264 SOUTH 191</td>\n",
+       "      <td>GANADO</td>\n",
+       "      <td>AZ</td>\n",
+       "      <td>86505</td>\n",
+       "      <td>APACHE</td>\n",
+       "      <td>(928) 755-4541</td>\n",
+       "      <td>Critical Access Hospitals</td>\n",
+       "      <td>Voluntary non-profit - Private</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>24250</td>\n",
+       "      <td>WOODRIDGE BEHAVIORAL CENTER</td>\n",
+       "      <td>600 NORTH 7TH STREET</td>\n",
+       "      <td>WEST MEMPHIS</td>\n",
+       "      <td>AR</td>\n",
+       "      <td>72301</td>\n",
+       "      <td>CRITTENDEN</td>\n",
+       "      <td>(870) 394-4113</td>\n",
+       "      <td>Psychiatric</td>\n",
+       "      <td>Proprietary</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>10341</td>\n",
+       "      <td>DOUGLAS GARDENS HOSPITAL</td>\n",
+       "      <td>5200 NE 2ND AVE</td>\n",
+       "      <td>MIAMI</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>33137</td>\n",
+       "      <td>MIAMI-DADE</td>\n",
+       "      <td>(305) 751-8626</td>\n",
+       "      <td>Acute Care Hospitals</td>\n",
+       "      <td>Voluntary non-profit - Private</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>81101</td>\n",
+       "      <td>SUNCOAST BEHAVIORAL HEALTH CENTER</td>\n",
+       "      <td>4480 51ST ST W</td>\n",
+       "      <td>BRADENTON</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>34210</td>\n",
+       "      <td>MANATEE</td>\n",
+       "      <td>(941) 792-2222</td>\n",
+       "      <td>Psychiatric</td>\n",
+       "      <td>Proprietary</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>39835</td>\n",
+       "      <td>TREASURE VALLEY HOSPITAL</td>\n",
+       "      <td>8800 WEST EMERALD STREET</td>\n",
+       "      <td>BOISE</td>\n",
+       "      <td>ID</td>\n",
+       "      <td>83704</td>\n",
+       "      <td>ADA</td>\n",
+       "      <td>(208) 373-5000</td>\n",
+       "      <td>Acute Care Hospitals</td>\n",
+       "      <td>Proprietary</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Account_Num                      Facility Name                    Address  \\\n",
+       "0        10605             SAGE MEMORIAL HOSPITAL  STATE ROUTE 264 SOUTH 191   \n",
+       "1        24250        WOODRIDGE BEHAVIORAL CENTER       600 NORTH 7TH STREET   \n",
+       "2        10341           DOUGLAS GARDENS HOSPITAL            5200 NE 2ND AVE   \n",
+       "3        81101  SUNCOAST BEHAVIORAL HEALTH CENTER             4480 51ST ST W   \n",
+       "4        39835           TREASURE VALLEY HOSPITAL   8800 WEST EMERALD STREET   \n",
+       "\n",
+       "           City State  ZIP Code County Name    Phone Number  \\\n",
+       "0        GANADO    AZ     86505      APACHE  (928) 755-4541   \n",
+       "1  WEST MEMPHIS    AR     72301  CRITTENDEN  (870) 394-4113   \n",
+       "2         MIAMI    FL     33137  MIAMI-DADE  (305) 751-8626   \n",
+       "3     BRADENTON    FL     34210     MANATEE  (941) 792-2222   \n",
+       "4         BOISE    ID     83704         ADA  (208) 373-5000   \n",
+       "\n",
+       "               Hospital Type              Hospital Ownership  \n",
+       "0  Critical Access Hospitals  Voluntary non-profit - Private  \n",
+       "1                Psychiatric                     Proprietary  \n",
+       "2       Acute Care Hospitals  Voluntary non-profit - Private  \n",
+       "3                Psychiatric                     Proprietary  \n",
+       "4       Acute Care Hospitals                     Proprietary  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hospital_accounts.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th>Provider Name</th>\n",
+       "      <th>Provider Street Address</th>\n",
+       "      <th>Provider City</th>\n",
+       "      <th>Provider State</th>\n",
+       "      <th>Provider Zip Code</th>\n",
+       "      <th>Total Discharges</th>\n",
+       "      <th>Average Covered Charges</th>\n",
+       "      <th>Average Total Payments</th>\n",
+       "      <th>Average Medicare Payments</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>839987</td>\n",
+       "      <td>SOUTHEAST ALABAMA MEDICAL CENTER</td>\n",
+       "      <td>1108 ROSS CLARK CIRCLE</td>\n",
+       "      <td>DOTHAN</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>36301</td>\n",
+       "      <td>118</td>\n",
+       "      <td>20855.61</td>\n",
+       "      <td>5026.19</td>\n",
+       "      <td>4115.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>519118</td>\n",
+       "      <td>MARSHALL MEDICAL CENTER SOUTH</td>\n",
+       "      <td>2505 U S HIGHWAY 431 NORTH</td>\n",
+       "      <td>BOAZ</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>35957</td>\n",
+       "      <td>43</td>\n",
+       "      <td>13289.09</td>\n",
+       "      <td>5413.63</td>\n",
+       "      <td>4490.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>733073</td>\n",
+       "      <td>ELIZA COFFEE MEMORIAL HOSPITAL</td>\n",
+       "      <td>205 MARENGO STREET</td>\n",
+       "      <td>FLORENCE</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>35631</td>\n",
+       "      <td>73</td>\n",
+       "      <td>22261.60</td>\n",
+       "      <td>4922.18</td>\n",
+       "      <td>4021.79</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201752</td>\n",
+       "      <td>MIZELL MEMORIAL HOSPITAL</td>\n",
+       "      <td>702 N MAIN ST</td>\n",
+       "      <td>OPP</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>36467</td>\n",
+       "      <td>12</td>\n",
+       "      <td>10901.33</td>\n",
+       "      <td>5343.50</td>\n",
+       "      <td>4284.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>678488</td>\n",
+       "      <td>ST VINCENT'S EAST</td>\n",
+       "      <td>50 MEDICAL PARK EAST DRIVE</td>\n",
+       "      <td>BIRMINGHAM</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>35235</td>\n",
+       "      <td>74</td>\n",
+       "      <td>28117.95</td>\n",
+       "      <td>5947.12</td>\n",
+       "      <td>4819.53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Provider_Num                     Provider Name     Provider Street Address  \\\n",
+       "0        839987  SOUTHEAST ALABAMA MEDICAL CENTER      1108 ROSS CLARK CIRCLE   \n",
+       "1        519118     MARSHALL MEDICAL CENTER SOUTH  2505 U S HIGHWAY 431 NORTH   \n",
+       "2        733073    ELIZA COFFEE MEMORIAL HOSPITAL          205 MARENGO STREET   \n",
+       "3        201752          MIZELL MEMORIAL HOSPITAL               702 N MAIN ST   \n",
+       "4        678488                 ST VINCENT'S EAST  50 MEDICAL PARK EAST DRIVE   \n",
+       "\n",
+       "  Provider City Provider State  Provider Zip Code  Total Discharges  \\\n",
+       "0        DOTHAN             AL              36301               118   \n",
+       "1          BOAZ             AL              35957                43   \n",
+       "2      FLORENCE             AL              35631                73   \n",
+       "3           OPP             AL              36467                12   \n",
+       "4    BIRMINGHAM             AL              35235                74   \n",
+       "\n",
+       "   Average Covered Charges  Average Total Payments  Average Medicare Payments  \n",
+       "0                 20855.61                 5026.19                    4115.52  \n",
+       "1                 13289.09                 5413.63                    4490.93  \n",
+       "2                 22261.60                 4922.18                    4021.79  \n",
+       "3                 10901.33                 5343.50                    4284.17  \n",
+       "4                 28117.95                 5947.12                    4819.53  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hospital_reimbursement.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Columns to match on from df_left\n",
+    "left_on = [\"Facility Name\", \"Address\", \"City\", \"State\"]\n",
+    "\n",
+    "# Columns to match on from df_right\n",
+    "right_on = [\n",
+    "    \"Provider Name\", \"Provider Street Address\", \"Provider City\",\n",
+    "    \"Provider State\"\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Now perform the match\n",
+    "# It will take several minutes to run on this data set\n",
+    "matched_results = fuzzymatcher.fuzzy_left_join(hospital_accounts,\n",
+    "                                               hospital_reimbursement,\n",
+    "                                               left_on,\n",
+    "                                               right_on,\n",
+    "                                               left_id_col='Account_Num',\n",
+    "                                               right_id_col='Provider_Num')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>best_match_score</th>\n",
+       "      <th>__id_left</th>\n",
+       "      <th>__id_right</th>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th>Facility Name</th>\n",
+       "      <th>Address</th>\n",
+       "      <th>City</th>\n",
+       "      <th>State</th>\n",
+       "      <th>ZIP Code</th>\n",
+       "      <th>County Name</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th>Provider Name</th>\n",
+       "      <th>Provider Street Address</th>\n",
+       "      <th>Provider City</th>\n",
+       "      <th>Provider State</th>\n",
+       "      <th>Provider Zip Code</th>\n",
+       "      <th>Total Discharges</th>\n",
+       "      <th>Average Covered Charges</th>\n",
+       "      <th>Average Total Payments</th>\n",
+       "      <th>Average Medicare Payments</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.746613</td>\n",
+       "      <td>10605</td>\n",
+       "      <td>643595</td>\n",
+       "      <td>10605</td>\n",
+       "      <td>SAGE MEMORIAL HOSPITAL</td>\n",
+       "      <td>STATE ROUTE 264 SOUTH 191</td>\n",
+       "      <td>GANADO</td>\n",
+       "      <td>AZ</td>\n",
+       "      <td>86505</td>\n",
+       "      <td>APACHE</td>\n",
+       "      <td>...</td>\n",
+       "      <td>643595</td>\n",
+       "      <td>TYLER MEMORIAL HOSPITAL</td>\n",
+       "      <td>5950 STATE ROUTE 6 WEST</td>\n",
+       "      <td>TUNKHANNOCK</td>\n",
+       "      <td>PA</td>\n",
+       "      <td>18657</td>\n",
+       "      <td>18</td>\n",
+       "      <td>20482.94</td>\n",
+       "      <td>5783.22</td>\n",
+       "      <td>4929.22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>234</th>\n",
+       "      <td>-0.609873</td>\n",
+       "      <td>24250</td>\n",
+       "      <td>426767</td>\n",
+       "      <td>24250</td>\n",
+       "      <td>WOODRIDGE BEHAVIORAL CENTER</td>\n",
+       "      <td>600 NORTH 7TH STREET</td>\n",
+       "      <td>WEST MEMPHIS</td>\n",
+       "      <td>AR</td>\n",
+       "      <td>72301</td>\n",
+       "      <td>CRITTENDEN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>426767</td>\n",
+       "      <td>CRISP REGIONAL HOSPITAL</td>\n",
+       "      <td>902 7TH STREET NORTH</td>\n",
+       "      <td>CORDELE</td>\n",
+       "      <td>GA</td>\n",
+       "      <td>31015</td>\n",
+       "      <td>18</td>\n",
+       "      <td>14655.94</td>\n",
+       "      <td>5680.28</td>\n",
+       "      <td>4899.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>446</th>\n",
+       "      <td>-0.404473</td>\n",
+       "      <td>10341</td>\n",
+       "      <td>730311</td>\n",
+       "      <td>10341</td>\n",
+       "      <td>DOUGLAS GARDENS HOSPITAL</td>\n",
+       "      <td>5200 NE 2ND AVE</td>\n",
+       "      <td>MIAMI</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>33137</td>\n",
+       "      <td>MIAMI-DADE</td>\n",
+       "      <td>...</td>\n",
+       "      <td>730311</td>\n",
+       "      <td>JACKSON MEMORIAL HOSPITAL</td>\n",
+       "      <td>1611 NW 12TH AVE</td>\n",
+       "      <td>MIAMI</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>33136</td>\n",
+       "      <td>113</td>\n",
+       "      <td>30021.91</td>\n",
+       "      <td>14448.75</td>\n",
+       "      <td>11043.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>675</th>\n",
+       "      <td>-0.333020</td>\n",
+       "      <td>81101</td>\n",
+       "      <td>302173</td>\n",
+       "      <td>81101</td>\n",
+       "      <td>SUNCOAST BEHAVIORAL HEALTH CENTER</td>\n",
+       "      <td>4480 51ST ST W</td>\n",
+       "      <td>BRADENTON</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>34210</td>\n",
+       "      <td>MANATEE</td>\n",
+       "      <td>...</td>\n",
+       "      <td>302173</td>\n",
+       "      <td>BLAKE MEDICAL CENTER</td>\n",
+       "      <td>2020 59TH ST W</td>\n",
+       "      <td>BRADENTON</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>34209</td>\n",
+       "      <td>135</td>\n",
+       "      <td>46792.59</td>\n",
+       "      <td>5651.22</td>\n",
+       "      <td>4534.90</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>893</th>\n",
+       "      <td>-0.629261</td>\n",
+       "      <td>39835</td>\n",
+       "      <td>416060</td>\n",
+       "      <td>39835</td>\n",
+       "      <td>TREASURE VALLEY HOSPITAL</td>\n",
+       "      <td>8800 WEST EMERALD STREET</td>\n",
+       "      <td>BOISE</td>\n",
+       "      <td>ID</td>\n",
+       "      <td>83704</td>\n",
+       "      <td>ADA</td>\n",
+       "      <td>...</td>\n",
+       "      <td>416060</td>\n",
+       "      <td>ST LUKE'S REGIONAL MEDICAL CENTER</td>\n",
+       "      <td>190 EAST BANNOCK STREET</td>\n",
+       "      <td>BOISE</td>\n",
+       "      <td>ID</td>\n",
+       "      <td>83712</td>\n",
+       "      <td>68</td>\n",
+       "      <td>26564.97</td>\n",
+       "      <td>6514.51</td>\n",
+       "      <td>5631.87</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     best_match_score  __id_left  __id_right  Account_Num  \\\n",
+       "0           -0.746613      10605      643595        10605   \n",
+       "234         -0.609873      24250      426767        24250   \n",
+       "446         -0.404473      10341      730311        10341   \n",
+       "675         -0.333020      81101      302173        81101   \n",
+       "893         -0.629261      39835      416060        39835   \n",
+       "\n",
+       "                         Facility Name                    Address  \\\n",
+       "0               SAGE MEMORIAL HOSPITAL  STATE ROUTE 264 SOUTH 191   \n",
+       "234        WOODRIDGE BEHAVIORAL CENTER       600 NORTH 7TH STREET   \n",
+       "446           DOUGLAS GARDENS HOSPITAL            5200 NE 2ND AVE   \n",
+       "675  SUNCOAST BEHAVIORAL HEALTH CENTER             4480 51ST ST W   \n",
+       "893           TREASURE VALLEY HOSPITAL   8800 WEST EMERALD STREET   \n",
+       "\n",
+       "             City State  ZIP Code County Name  ... Provider_Num  \\\n",
+       "0          GANADO    AZ     86505      APACHE  ...       643595   \n",
+       "234  WEST MEMPHIS    AR     72301  CRITTENDEN  ...       426767   \n",
+       "446         MIAMI    FL     33137  MIAMI-DADE  ...       730311   \n",
+       "675     BRADENTON    FL     34210     MANATEE  ...       302173   \n",
+       "893         BOISE    ID     83704         ADA  ...       416060   \n",
+       "\n",
+       "                         Provider Name  Provider Street Address  \\\n",
+       "0              TYLER MEMORIAL HOSPITAL  5950 STATE ROUTE 6 WEST   \n",
+       "234            CRISP REGIONAL HOSPITAL     902 7TH STREET NORTH   \n",
+       "446          JACKSON MEMORIAL HOSPITAL         1611 NW 12TH AVE   \n",
+       "675               BLAKE MEDICAL CENTER           2020 59TH ST W   \n",
+       "893  ST LUKE'S REGIONAL MEDICAL CENTER  190 EAST BANNOCK STREET   \n",
+       "\n",
+       "     Provider City Provider State Provider Zip Code Total Discharges  \\\n",
+       "0      TUNKHANNOCK             PA             18657               18   \n",
+       "234        CORDELE             GA             31015               18   \n",
+       "446          MIAMI             FL             33136              113   \n",
+       "675      BRADENTON             FL             34209              135   \n",
+       "893          BOISE             ID             83712               68   \n",
+       "\n",
+       "    Average Covered Charges  Average Total Payments  Average Medicare Payments  \n",
+       "0                  20482.94                 5783.22                    4929.22  \n",
+       "234                14655.94                 5680.28                    4899.39  \n",
+       "446                30021.91                14448.75                   11043.58  \n",
+       "675                46792.59                 5651.22                    4534.90  \n",
+       "893                26564.97                 6514.51                    5631.87  \n",
+       "\n",
+       "[5 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "matched_results.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Reorder the columns to make viewing easier\n",
+    "cols = [\n",
+    "    \"best_match_score\", \"Facility Name\", \"Provider Name\", \"Address\", \"Provider Street Address\",\n",
+    "    \"Provider City\", \"City\", \"Provider State\", \"State\"\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>best_match_score</th>\n",
+       "      <th>Facility Name</th>\n",
+       "      <th>Provider Name</th>\n",
+       "      <th>Address</th>\n",
+       "      <th>Provider Street Address</th>\n",
+       "      <th>Provider City</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Provider State</th>\n",
+       "      <th>State</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>77846</th>\n",
+       "      <td>3.090931</td>\n",
+       "      <td>RARITAN BAY MEDICAL CENTER PERTH AMBOY DIVISION</td>\n",
+       "      <td>RARITAN BAY MEDICAL CENTER PERTH AMBOY DIVISION</td>\n",
+       "      <td>530 NEW BRUNSWICK AVE</td>\n",
+       "      <td>530 NEW BRUNSWICK AVE</td>\n",
+       "      <td>PERTH AMBOY</td>\n",
+       "      <td>PERTH AMBOY</td>\n",
+       "      <td>NJ</td>\n",
+       "      <td>NJ</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>532466</th>\n",
+       "      <td>2.799072</td>\n",
+       "      <td>ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL</td>\n",
+       "      <td>ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL</td>\n",
+       "      <td>ONE ROBERT WOOD JOHNSON PLACE</td>\n",
+       "      <td>ONE ROBERT WOOD JOHNSON PLACE</td>\n",
+       "      <td>NEW BRUNSWICK</td>\n",
+       "      <td>NEW BRUNSWICK</td>\n",
+       "      <td>NJ</td>\n",
+       "      <td>NJ</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78435</th>\n",
+       "      <td>2.785132</td>\n",
+       "      <td>AVERA MCKENNAN HOSPITAL &amp; UNIVERSITY HEALTH CE...</td>\n",
+       "      <td>AVERA MCKENNAN HOSPITAL &amp; UNIVERSITY HEALTH CE...</td>\n",
+       "      <td>1325 S CLIFF AVE  POST OFFICE BOX 5045</td>\n",
+       "      <td>1325 S CLIFF AVE  POST OFFICE BOX 5045</td>\n",
+       "      <td>SIOUX FALLS</td>\n",
+       "      <td>SIOUX FALLS</td>\n",
+       "      <td>SD</td>\n",
+       "      <td>SD</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>242697</th>\n",
+       "      <td>2.778860</td>\n",
+       "      <td>JOHN T MATHER MEMORIAL HOSPITAL  OF PORT JEFFE...</td>\n",
+       "      <td>JOHN T MATHER MEMORIAL HOSPITAL  OF PORT JEFFE...</td>\n",
+       "      <td>75 NORTH COUNTRY ROAD</td>\n",
+       "      <td>75 NORTH COUNTRY ROAD</td>\n",
+       "      <td>PORT JEFFERSON</td>\n",
+       "      <td>PORT JEFFERSON</td>\n",
+       "      <td>NY</td>\n",
+       "      <td>NY</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>447347</th>\n",
+       "      <td>2.721425</td>\n",
+       "      <td>MAYO CLINIC HEALTH SYSTEM - RED WING</td>\n",
+       "      <td>MAYO CLINIC HEALTH SYSTEM IN RED WING</td>\n",
+       "      <td>701 HEWITT BOULEVARD, PO BOX 95</td>\n",
+       "      <td>701 HEWITT BOULEVARD, PO BOX 95</td>\n",
+       "      <td>RED WING</td>\n",
+       "      <td>RED WING</td>\n",
+       "      <td>MN</td>\n",
+       "      <td>MN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        best_match_score                                      Facility Name  \\\n",
+       "77846           3.090931    RARITAN BAY MEDICAL CENTER PERTH AMBOY DIVISION   \n",
+       "532466          2.799072            ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL   \n",
+       "78435           2.785132  AVERA MCKENNAN HOSPITAL & UNIVERSITY HEALTH CE...   \n",
+       "242697          2.778860  JOHN T MATHER MEMORIAL HOSPITAL  OF PORT JEFFE...   \n",
+       "447347          2.721425               MAYO CLINIC HEALTH SYSTEM - RED WING   \n",
+       "\n",
+       "                                            Provider Name  \\\n",
+       "77846     RARITAN BAY MEDICAL CENTER PERTH AMBOY DIVISION   \n",
+       "532466            ROBERT WOOD JOHNSON UNIVERSITY HOSPITAL   \n",
+       "78435   AVERA MCKENNAN HOSPITAL & UNIVERSITY HEALTH CE...   \n",
+       "242697  JOHN T MATHER MEMORIAL HOSPITAL  OF PORT JEFFE...   \n",
+       "447347              MAYO CLINIC HEALTH SYSTEM IN RED WING   \n",
+       "\n",
+       "                                       Address  \\\n",
+       "77846                    530 NEW BRUNSWICK AVE   \n",
+       "532466           ONE ROBERT WOOD JOHNSON PLACE   \n",
+       "78435   1325 S CLIFF AVE  POST OFFICE BOX 5045   \n",
+       "242697                   75 NORTH COUNTRY ROAD   \n",
+       "447347         701 HEWITT BOULEVARD, PO BOX 95   \n",
+       "\n",
+       "                       Provider Street Address   Provider City  \\\n",
+       "77846                    530 NEW BRUNSWICK AVE     PERTH AMBOY   \n",
+       "532466           ONE ROBERT WOOD JOHNSON PLACE   NEW BRUNSWICK   \n",
+       "78435   1325 S CLIFF AVE  POST OFFICE BOX 5045     SIOUX FALLS   \n",
+       "242697                   75 NORTH COUNTRY ROAD  PORT JEFFERSON   \n",
+       "447347         701 HEWITT BOULEVARD, PO BOX 95        RED WING   \n",
+       "\n",
+       "                  City Provider State State  \n",
+       "77846      PERTH AMBOY             NJ    NJ  \n",
+       "532466   NEW BRUNSWICK             NJ    NJ  \n",
+       "78435      SIOUX FALLS             SD    SD  \n",
+       "242697  PORT JEFFERSON             NY    NY  \n",
+       "447347        RED WING             MN    MN  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's see the best matches\n",
+    "matched_results[cols].sort_values(by=['best_match_score'], ascending=False).head(5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>best_match_score</th>\n",
+       "      <th>Facility Name</th>\n",
+       "      <th>Provider Name</th>\n",
+       "      <th>Address</th>\n",
+       "      <th>Provider Street Address</th>\n",
+       "      <th>Provider City</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Provider State</th>\n",
+       "      <th>State</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>426256</th>\n",
+       "      <td>-2.268231</td>\n",
+       "      <td>CENTRO MEDICO WILMA N VAZQUEZ</td>\n",
+       "      <td>BAPTIST MEDICAL CENTER EAST</td>\n",
+       "      <td>CARR. 2 KM 39.5    ROAD NUMBER 2 BO ALGARROBO</td>\n",
+       "      <td>400 TAYLOR ROAD</td>\n",
+       "      <td>MONTGOMERY</td>\n",
+       "      <td>VEGA BAJA</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>PR</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>83051</th>\n",
+       "      <td>-2.124071</td>\n",
+       "      <td>DOCTOR CENTER HOSPITAL SAN FERNANDO DE LA CARO...</td>\n",
+       "      <td>OVERLAKE HOSPITAL MEDICAL CENTER</td>\n",
+       "      <td>EDIF JESUS T PINEIRO AVE FERNANDEZ JUNCOS BO P...</td>\n",
+       "      <td>1035-116TH AVE NE</td>\n",
+       "      <td>BELLEVUE</td>\n",
+       "      <td>CAROLINA</td>\n",
+       "      <td>WA</td>\n",
+       "      <td>PR</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42613</th>\n",
+       "      <td>-2.106746</td>\n",
+       "      <td>HOSPITAL ONCOLOGICO DR ISAAC GONZALEZ MARTINEZ</td>\n",
+       "      <td>SCRIPPS MERCY HOSPITAL</td>\n",
+       "      <td>BO. MONACILLOS CARR 22 CENTRO MEDICO DE PUERTO...</td>\n",
+       "      <td>4077 5TH AVE</td>\n",
+       "      <td>SAN DIEGO</td>\n",
+       "      <td>SAN JUAN</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>PR</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>450232</th>\n",
+       "      <td>-2.050888</td>\n",
+       "      <td>CENTRO DE SALUD CONDUCTUAL MENONITA-CIMA</td>\n",
+       "      <td>MILFORD REGIONAL MEDICAL CENTER</td>\n",
+       "      <td>CARR ESTATAL 14 INTERIOR SARGENTO GERARDO SANT...</td>\n",
+       "      <td>14 PROSPECT STREET</td>\n",
+       "      <td>MILFORD</td>\n",
+       "      <td>AIBONITO</td>\n",
+       "      <td>MA</td>\n",
+       "      <td>PR</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>476086</th>\n",
+       "      <td>-1.996508</td>\n",
+       "      <td>ADMIN DE SERVICIOS MEDICOS  PUERTO RIC</td>\n",
+       "      <td>MAINE MEDICAL CENTER</td>\n",
+       "      <td>BO MONACILLO CARR NUM 22</td>\n",
+       "      <td>22 BRAMHALL ST</td>\n",
+       "      <td>PORTLAND</td>\n",
+       "      <td>SAN JUAN</td>\n",
+       "      <td>ME</td>\n",
+       "      <td>PR</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        best_match_score                                      Facility Name  \\\n",
+       "426256         -2.268231                      CENTRO MEDICO WILMA N VAZQUEZ   \n",
+       "83051          -2.124071  DOCTOR CENTER HOSPITAL SAN FERNANDO DE LA CARO...   \n",
+       "42613          -2.106746     HOSPITAL ONCOLOGICO DR ISAAC GONZALEZ MARTINEZ   \n",
+       "450232         -2.050888           CENTRO DE SALUD CONDUCTUAL MENONITA-CIMA   \n",
+       "476086         -1.996508             ADMIN DE SERVICIOS MEDICOS  PUERTO RIC   \n",
+       "\n",
+       "                           Provider Name  \\\n",
+       "426256       BAPTIST MEDICAL CENTER EAST   \n",
+       "83051   OVERLAKE HOSPITAL MEDICAL CENTER   \n",
+       "42613             SCRIPPS MERCY HOSPITAL   \n",
+       "450232   MILFORD REGIONAL MEDICAL CENTER   \n",
+       "476086              MAINE MEDICAL CENTER   \n",
+       "\n",
+       "                                                  Address  \\\n",
+       "426256      CARR. 2 KM 39.5    ROAD NUMBER 2 BO ALGARROBO   \n",
+       "83051   EDIF JESUS T PINEIRO AVE FERNANDEZ JUNCOS BO P...   \n",
+       "42613   BO. MONACILLOS CARR 22 CENTRO MEDICO DE PUERTO...   \n",
+       "450232  CARR ESTATAL 14 INTERIOR SARGENTO GERARDO SANT...   \n",
+       "476086                           BO MONACILLO CARR NUM 22   \n",
+       "\n",
+       "       Provider Street Address Provider City       City Provider State State  \n",
+       "426256         400 TAYLOR ROAD    MONTGOMERY  VEGA BAJA             AL    PR  \n",
+       "83051        1035-116TH AVE NE      BELLEVUE   CAROLINA             WA    PR  \n",
+       "42613             4077 5TH AVE     SAN DIEGO   SAN JUAN             CA    PR  \n",
+       "450232      14 PROSPECT STREET       MILFORD   AIBONITO             MA    PR  \n",
+       "476086          22 BRAMHALL ST      PORTLAND   SAN JUAN             ME    PR  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Now the worst matches\n",
+    "matched_results[cols].sort_values(by=['best_match_score'],\n",
+    "                                  ascending=True).head(5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>best_match_score</th>\n",
+       "      <th>Facility Name</th>\n",
+       "      <th>Provider Name</th>\n",
+       "      <th>Address</th>\n",
+       "      <th>Provider Street Address</th>\n",
+       "      <th>Provider City</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Provider State</th>\n",
+       "      <th>State</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>413779</th>\n",
+       "      <td>0.999843</td>\n",
+       "      <td>PRISMA HEALTH BAPTIST</td>\n",
+       "      <td>PALMETTO HEALTH BAPTIST</td>\n",
+       "      <td>1330 TAYLOR AT MARION ST</td>\n",
+       "      <td>TAYLOR AT MARION ST</td>\n",
+       "      <td>COLUMBIA</td>\n",
+       "      <td>COLUMBIA</td>\n",
+       "      <td>SC</td>\n",
+       "      <td>SC</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148813</th>\n",
+       "      <td>0.999724</td>\n",
+       "      <td>CHRIST HOSPITAL</td>\n",
+       "      <td>CHRIST HOSPITAL</td>\n",
+       "      <td>2139 AUBURN AVENUE</td>\n",
+       "      <td>2139 AUBURN AVENUE</td>\n",
+       "      <td>CINCINNATI</td>\n",
+       "      <td>CINCINNATI</td>\n",
+       "      <td>OH</td>\n",
+       "      <td>OH</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>387796</th>\n",
+       "      <td>0.997759</td>\n",
+       "      <td>RUSSELL COUNTY HOSPITAL</td>\n",
+       "      <td>RUSSELL COUNTY MEDICAL CENTER</td>\n",
+       "      <td>58 CARROLL STREET</td>\n",
+       "      <td>58 CARROLL STREET</td>\n",
+       "      <td>LEBANON</td>\n",
+       "      <td>LEBANON</td>\n",
+       "      <td>VA</td>\n",
+       "      <td>VA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>377611</th>\n",
+       "      <td>0.993306</td>\n",
+       "      <td>SKY RIDGE MEDICAL CENTER</td>\n",
+       "      <td>SKY RIDGE MEDICAL CENTER</td>\n",
+       "      <td>10101 RIDGEGATE PARKWAY</td>\n",
+       "      <td>10101 RIDGE GATE PARKWAY</td>\n",
+       "      <td>LONE TREE</td>\n",
+       "      <td>LONE TREE</td>\n",
+       "      <td>CO</td>\n",
+       "      <td>CO</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>303356</th>\n",
+       "      <td>0.991168</td>\n",
+       "      <td>HIGHLAND HOSPITAL</td>\n",
+       "      <td>HIGHLAND HOSPITAL</td>\n",
+       "      <td>1000 SOUTH AVENUE</td>\n",
+       "      <td>1000 SOUTH AVENUE</td>\n",
+       "      <td>ROCHESTER</td>\n",
+       "      <td>ROCHESTER</td>\n",
+       "      <td>NY</td>\n",
+       "      <td>NY</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>538105</th>\n",
+       "      <td>0.990481</td>\n",
+       "      <td>PAOLI HOSPITAL</td>\n",
+       "      <td>MAIN LINE HOSPITAL PAOLI</td>\n",
+       "      <td>255 WEST LANCASTER AVENUE</td>\n",
+       "      <td>255 WEST LANCASTER AVENUE</td>\n",
+       "      <td>PAOLI</td>\n",
+       "      <td>PAOLI</td>\n",
+       "      <td>PA</td>\n",
+       "      <td>PA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>251502</th>\n",
+       "      <td>0.986695</td>\n",
+       "      <td>NYU WINTHROP HOSPITAL</td>\n",
+       "      <td>WINTHROP-UNIVERSITY HOSPITAL</td>\n",
+       "      <td>259 FIRST STREET</td>\n",
+       "      <td>259 FIRST STREET</td>\n",
+       "      <td>MINEOLA</td>\n",
+       "      <td>MINEOLA</td>\n",
+       "      <td>NY</td>\n",
+       "      <td>NY</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>310674</th>\n",
+       "      <td>0.986440</td>\n",
+       "      <td>ADVENTHEALTH GORDON</td>\n",
+       "      <td>GORDON HOSPITAL</td>\n",
+       "      <td>1035 RED BUD ROAD</td>\n",
+       "      <td>1035 RED BUD ROAD</td>\n",
+       "      <td>CALHOUN</td>\n",
+       "      <td>CALHOUN</td>\n",
+       "      <td>GA</td>\n",
+       "      <td>GA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>203931</th>\n",
+       "      <td>0.985763</td>\n",
+       "      <td>MEMORIAL MEDICAL CENTER</td>\n",
+       "      <td>MEMORIAL MEDICAL CENTER</td>\n",
+       "      <td>701 N FIRST ST</td>\n",
+       "      <td>701 N FIRST ST</td>\n",
+       "      <td>SPRINGFIELD</td>\n",
+       "      <td>SPRINGFIELD</td>\n",
+       "      <td>IL</td>\n",
+       "      <td>IL</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>102187</th>\n",
+       "      <td>0.984978</td>\n",
+       "      <td>HENDRICK MEDICAL CENTER</td>\n",
+       "      <td>HENDRICK MEDICAL CENTER</td>\n",
+       "      <td>1900 PINE</td>\n",
+       "      <td>1900 PINE</td>\n",
+       "      <td>ABILENE</td>\n",
+       "      <td>ABILENE</td>\n",
+       "      <td>TX</td>\n",
+       "      <td>TX</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        best_match_score             Facility Name  \\\n",
+       "413779          0.999843     PRISMA HEALTH BAPTIST   \n",
+       "148813          0.999724           CHRIST HOSPITAL   \n",
+       "387796          0.997759   RUSSELL COUNTY HOSPITAL   \n",
+       "377611          0.993306  SKY RIDGE MEDICAL CENTER   \n",
+       "303356          0.991168         HIGHLAND HOSPITAL   \n",
+       "538105          0.990481            PAOLI HOSPITAL   \n",
+       "251502          0.986695     NYU WINTHROP HOSPITAL   \n",
+       "310674          0.986440       ADVENTHEALTH GORDON   \n",
+       "203931          0.985763   MEMORIAL MEDICAL CENTER   \n",
+       "102187          0.984978   HENDRICK MEDICAL CENTER   \n",
+       "\n",
+       "                        Provider Name                    Address  \\\n",
+       "413779        PALMETTO HEALTH BAPTIST   1330 TAYLOR AT MARION ST   \n",
+       "148813                CHRIST HOSPITAL         2139 AUBURN AVENUE   \n",
+       "387796  RUSSELL COUNTY MEDICAL CENTER          58 CARROLL STREET   \n",
+       "377611       SKY RIDGE MEDICAL CENTER    10101 RIDGEGATE PARKWAY   \n",
+       "303356              HIGHLAND HOSPITAL          1000 SOUTH AVENUE   \n",
+       "538105       MAIN LINE HOSPITAL PAOLI  255 WEST LANCASTER AVENUE   \n",
+       "251502   WINTHROP-UNIVERSITY HOSPITAL           259 FIRST STREET   \n",
+       "310674                GORDON HOSPITAL          1035 RED BUD ROAD   \n",
+       "203931        MEMORIAL MEDICAL CENTER             701 N FIRST ST   \n",
+       "102187        HENDRICK MEDICAL CENTER                  1900 PINE   \n",
+       "\n",
+       "          Provider Street Address Provider City         City Provider State  \\\n",
+       "413779        TAYLOR AT MARION ST      COLUMBIA     COLUMBIA             SC   \n",
+       "148813         2139 AUBURN AVENUE    CINCINNATI   CINCINNATI             OH   \n",
+       "387796          58 CARROLL STREET       LEBANON      LEBANON             VA   \n",
+       "377611   10101 RIDGE GATE PARKWAY     LONE TREE    LONE TREE             CO   \n",
+       "303356          1000 SOUTH AVENUE     ROCHESTER    ROCHESTER             NY   \n",
+       "538105  255 WEST LANCASTER AVENUE         PAOLI        PAOLI             PA   \n",
+       "251502           259 FIRST STREET       MINEOLA      MINEOLA             NY   \n",
+       "310674          1035 RED BUD ROAD       CALHOUN      CALHOUN             GA   \n",
+       "203931             701 N FIRST ST   SPRINGFIELD  SPRINGFIELD             IL   \n",
+       "102187                  1900 PINE       ABILENE      ABILENE             TX   \n",
+       "\n",
+       "       State  \n",
+       "413779    SC  \n",
+       "148813    OH  \n",
+       "387796    VA  \n",
+       "377611    CO  \n",
+       "303356    NY  \n",
+       "538105    PA  \n",
+       "251502    NY  \n",
+       "310674    GA  \n",
+       "203931    IL  \n",
+       "102187    TX  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Look at the matches around 1\n",
+    "matched_results[cols].query(\"best_match_score <= 1\").sort_values(\n",
+    "    by=['best_match_score'], ascending=False).head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>best_match_score</th>\n",
+       "      <th>Facility Name</th>\n",
+       "      <th>Provider Name</th>\n",
+       "      <th>Address</th>\n",
+       "      <th>Provider Street Address</th>\n",
+       "      <th>Provider City</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Provider State</th>\n",
+       "      <th>State</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>518066</th>\n",
+       "      <td>0.792471</td>\n",
+       "      <td>METHODIST HOSPITAL SOUTH</td>\n",
+       "      <td>SOUTH TEXAS REGIONAL MEDICAL CENTER</td>\n",
+       "      <td>1905 HWY 97 EAST</td>\n",
+       "      <td>1905 HWY 97 EAST</td>\n",
+       "      <td>JOURDANTON</td>\n",
+       "      <td>JOURDANTON</td>\n",
+       "      <td>TX</td>\n",
+       "      <td>TX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>416905</th>\n",
+       "      <td>0.791668</td>\n",
+       "      <td>ADVENTIST HEALTH UKIAH VALLEY</td>\n",
+       "      <td>UKIAH VALLEY MEDICAL CENTER</td>\n",
+       "      <td>275 HOSPITAL DRIVE</td>\n",
+       "      <td>275 HOSPITAL DRIVE</td>\n",
+       "      <td>UKIAH</td>\n",
+       "      <td>UKIAH</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>CA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>303110</th>\n",
+       "      <td>0.787163</td>\n",
+       "      <td>MADISON HEALTH</td>\n",
+       "      <td>MADISON COUNTY HOSPITAL INC</td>\n",
+       "      <td>210 NORTH MAIN STREET</td>\n",
+       "      <td>210 NORTH MAIN STREET</td>\n",
+       "      <td>LONDON</td>\n",
+       "      <td>LONDON</td>\n",
+       "      <td>OH</td>\n",
+       "      <td>OH</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>388140</th>\n",
+       "      <td>0.776632</td>\n",
+       "      <td>PENN HIGHLANDS CLEARFIELD</td>\n",
+       "      <td>CLEARFIELD HOSPITAL</td>\n",
+       "      <td>809 TURNPIKE AVE</td>\n",
+       "      <td>809 TURNPIKE AVE</td>\n",
+       "      <td>CLEARFIELD</td>\n",
+       "      <td>CLEARFIELD</td>\n",
+       "      <td>PA</td>\n",
+       "      <td>PA</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>492811</th>\n",
+       "      <td>0.775573</td>\n",
+       "      <td>MEMORIAL HOSPITAL AT GULFPORT</td>\n",
+       "      <td>MEMORIAL HOSPITAL AT GULFPORT</td>\n",
+       "      <td>4500 13TH STREET</td>\n",
+       "      <td>4500 13TH ST-P O BOX 1810</td>\n",
+       "      <td>GULFPORT</td>\n",
+       "      <td>GULFPORT</td>\n",
+       "      <td>MS</td>\n",
+       "      <td>MS</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        best_match_score                  Facility Name  \\\n",
+       "518066          0.792471       METHODIST HOSPITAL SOUTH   \n",
+       "416905          0.791668  ADVENTIST HEALTH UKIAH VALLEY   \n",
+       "303110          0.787163                 MADISON HEALTH   \n",
+       "388140          0.776632      PENN HIGHLANDS CLEARFIELD   \n",
+       "492811          0.775573  MEMORIAL HOSPITAL AT GULFPORT   \n",
+       "\n",
+       "                              Provider Name                Address  \\\n",
+       "518066  SOUTH TEXAS REGIONAL MEDICAL CENTER       1905 HWY 97 EAST   \n",
+       "416905          UKIAH VALLEY MEDICAL CENTER     275 HOSPITAL DRIVE   \n",
+       "303110          MADISON COUNTY HOSPITAL INC  210 NORTH MAIN STREET   \n",
+       "388140                  CLEARFIELD HOSPITAL       809 TURNPIKE AVE   \n",
+       "492811        MEMORIAL HOSPITAL AT GULFPORT       4500 13TH STREET   \n",
+       "\n",
+       "          Provider Street Address Provider City        City Provider State  \\\n",
+       "518066           1905 HWY 97 EAST    JOURDANTON  JOURDANTON             TX   \n",
+       "416905         275 HOSPITAL DRIVE         UKIAH       UKIAH             CA   \n",
+       "303110      210 NORTH MAIN STREET        LONDON      LONDON             OH   \n",
+       "388140           809 TURNPIKE AVE    CLEARFIELD  CLEARFIELD             PA   \n",
+       "492811  4500 13TH ST-P O BOX 1810      GULFPORT    GULFPORT             MS   \n",
+       "\n",
+       "       State  \n",
+       "518066    TX  \n",
+       "416905    CA  \n",
+       "303110    OH  \n",
+       "388140    PA  \n",
+       "492811    MS  "
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "matched_results[cols].query(\"best_match_score <= .80\").sort_values(\n",
+    "    by=['best_match_score'], ascending=False).head(5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Example using Python Record Linkage Toolkit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Re-read in the data using the index_col\n",
+    "hospital_accounts = pd.read_csv(\n",
+    "    'https://github.com/chris1610/pbpython/raw/master/data/hospital_account_info.csv',\n",
+    "    index_col='Account_Num'\n",
+    ")\n",
+    "hospital_reimbursement = pd.read_csv(\n",
+    "    'https://raw.githubusercontent.com/chris1610/pbpython/master/data/hospital_reimbursement.csv',\n",
+    "    index_col='Provider_Num'\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Facility Name</th>\n",
+       "      <th>Address</th>\n",
+       "      <th>City</th>\n",
+       "      <th>State</th>\n",
+       "      <th>ZIP Code</th>\n",
+       "      <th>County Name</th>\n",
+       "      <th>Phone Number</th>\n",
+       "      <th>Hospital Type</th>\n",
+       "      <th>Hospital Ownership</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>10605</th>\n",
+       "      <td>SAGE MEMORIAL HOSPITAL</td>\n",
+       "      <td>STATE ROUTE 264 SOUTH 191</td>\n",
+       "      <td>GANADO</td>\n",
+       "      <td>AZ</td>\n",
+       "      <td>86505</td>\n",
+       "      <td>APACHE</td>\n",
+       "      <td>(928) 755-4541</td>\n",
+       "      <td>Critical Access Hospitals</td>\n",
+       "      <td>Voluntary non-profit - Private</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24250</th>\n",
+       "      <td>WOODRIDGE BEHAVIORAL CENTER</td>\n",
+       "      <td>600 NORTH 7TH STREET</td>\n",
+       "      <td>WEST MEMPHIS</td>\n",
+       "      <td>AR</td>\n",
+       "      <td>72301</td>\n",
+       "      <td>CRITTENDEN</td>\n",
+       "      <td>(870) 394-4113</td>\n",
+       "      <td>Psychiatric</td>\n",
+       "      <td>Proprietary</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10341</th>\n",
+       "      <td>DOUGLAS GARDENS HOSPITAL</td>\n",
+       "      <td>5200 NE 2ND AVE</td>\n",
+       "      <td>MIAMI</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>33137</td>\n",
+       "      <td>MIAMI-DADE</td>\n",
+       "      <td>(305) 751-8626</td>\n",
+       "      <td>Acute Care Hospitals</td>\n",
+       "      <td>Voluntary non-profit - Private</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>81101</th>\n",
+       "      <td>SUNCOAST BEHAVIORAL HEALTH CENTER</td>\n",
+       "      <td>4480 51ST ST W</td>\n",
+       "      <td>BRADENTON</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>34210</td>\n",
+       "      <td>MANATEE</td>\n",
+       "      <td>(941) 792-2222</td>\n",
+       "      <td>Psychiatric</td>\n",
+       "      <td>Proprietary</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39835</th>\n",
+       "      <td>TREASURE VALLEY HOSPITAL</td>\n",
+       "      <td>8800 WEST EMERALD STREET</td>\n",
+       "      <td>BOISE</td>\n",
+       "      <td>ID</td>\n",
+       "      <td>83704</td>\n",
+       "      <td>ADA</td>\n",
+       "      <td>(208) 373-5000</td>\n",
+       "      <td>Acute Care Hospitals</td>\n",
+       "      <td>Proprietary</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 Facility Name                    Address  \\\n",
+       "Account_Num                                                                 \n",
+       "10605                   SAGE MEMORIAL HOSPITAL  STATE ROUTE 264 SOUTH 191   \n",
+       "24250              WOODRIDGE BEHAVIORAL CENTER       600 NORTH 7TH STREET   \n",
+       "10341                 DOUGLAS GARDENS HOSPITAL            5200 NE 2ND AVE   \n",
+       "81101        SUNCOAST BEHAVIORAL HEALTH CENTER             4480 51ST ST W   \n",
+       "39835                 TREASURE VALLEY HOSPITAL   8800 WEST EMERALD STREET   \n",
+       "\n",
+       "                     City State  ZIP Code County Name    Phone Number  \\\n",
+       "Account_Num                                                             \n",
+       "10605              GANADO    AZ     86505      APACHE  (928) 755-4541   \n",
+       "24250        WEST MEMPHIS    AR     72301  CRITTENDEN  (870) 394-4113   \n",
+       "10341               MIAMI    FL     33137  MIAMI-DADE  (305) 751-8626   \n",
+       "81101           BRADENTON    FL     34210     MANATEE  (941) 792-2222   \n",
+       "39835               BOISE    ID     83704         ADA  (208) 373-5000   \n",
+       "\n",
+       "                         Hospital Type              Hospital Ownership  \n",
+       "Account_Num                                                             \n",
+       "10605        Critical Access Hospitals  Voluntary non-profit - Private  \n",
+       "24250                      Psychiatric                     Proprietary  \n",
+       "10341             Acute Care Hospitals  Voluntary non-profit - Private  \n",
+       "81101                      Psychiatric                     Proprietary  \n",
+       "39835             Acute Care Hospitals                     Proprietary  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hospital_accounts.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Provider Name</th>\n",
+       "      <th>Provider Street Address</th>\n",
+       "      <th>Provider City</th>\n",
+       "      <th>Provider State</th>\n",
+       "      <th>Provider Zip Code</th>\n",
+       "      <th>Total Discharges</th>\n",
+       "      <th>Average Covered Charges</th>\n",
+       "      <th>Average Total Payments</th>\n",
+       "      <th>Average Medicare Payments</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>839987</th>\n",
+       "      <td>SOUTHEAST ALABAMA MEDICAL CENTER</td>\n",
+       "      <td>1108 ROSS CLARK CIRCLE</td>\n",
+       "      <td>DOTHAN</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>36301</td>\n",
+       "      <td>118</td>\n",
+       "      <td>20855.61</td>\n",
+       "      <td>5026.19</td>\n",
+       "      <td>4115.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>519118</th>\n",
+       "      <td>MARSHALL MEDICAL CENTER SOUTH</td>\n",
+       "      <td>2505 U S HIGHWAY 431 NORTH</td>\n",
+       "      <td>BOAZ</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>35957</td>\n",
+       "      <td>43</td>\n",
+       "      <td>13289.09</td>\n",
+       "      <td>5413.63</td>\n",
+       "      <td>4490.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>733073</th>\n",
+       "      <td>ELIZA COFFEE MEMORIAL HOSPITAL</td>\n",
+       "      <td>205 MARENGO STREET</td>\n",
+       "      <td>FLORENCE</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>35631</td>\n",
+       "      <td>73</td>\n",
+       "      <td>22261.60</td>\n",
+       "      <td>4922.18</td>\n",
+       "      <td>4021.79</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>201752</th>\n",
+       "      <td>MIZELL MEMORIAL HOSPITAL</td>\n",
+       "      <td>702 N MAIN ST</td>\n",
+       "      <td>OPP</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>36467</td>\n",
+       "      <td>12</td>\n",
+       "      <td>10901.33</td>\n",
+       "      <td>5343.50</td>\n",
+       "      <td>4284.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>678488</th>\n",
+       "      <td>ST VINCENT'S EAST</td>\n",
+       "      <td>50 MEDICAL PARK EAST DRIVE</td>\n",
+       "      <td>BIRMINGHAM</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>35235</td>\n",
+       "      <td>74</td>\n",
+       "      <td>28117.95</td>\n",
+       "      <td>5947.12</td>\n",
+       "      <td>4819.53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 Provider Name     Provider Street Address  \\\n",
+       "Provider_Num                                                                 \n",
+       "839987        SOUTHEAST ALABAMA MEDICAL CENTER      1108 ROSS CLARK CIRCLE   \n",
+       "519118           MARSHALL MEDICAL CENTER SOUTH  2505 U S HIGHWAY 431 NORTH   \n",
+       "733073          ELIZA COFFEE MEMORIAL HOSPITAL          205 MARENGO STREET   \n",
+       "201752                MIZELL MEMORIAL HOSPITAL               702 N MAIN ST   \n",
+       "678488                       ST VINCENT'S EAST  50 MEDICAL PARK EAST DRIVE   \n",
+       "\n",
+       "             Provider City Provider State  Provider Zip Code  \\\n",
+       "Provider_Num                                                   \n",
+       "839987              DOTHAN             AL              36301   \n",
+       "519118                BOAZ             AL              35957   \n",
+       "733073            FLORENCE             AL              35631   \n",
+       "201752                 OPP             AL              36467   \n",
+       "678488          BIRMINGHAM             AL              35235   \n",
+       "\n",
+       "              Total Discharges  Average Covered Charges  \\\n",
+       "Provider_Num                                              \n",
+       "839987                     118                 20855.61   \n",
+       "519118                      43                 13289.09   \n",
+       "733073                      73                 22261.60   \n",
+       "201752                      12                 10901.33   \n",
+       "678488                      74                 28117.95   \n",
+       "\n",
+       "              Average Total Payments  Average Medicare Payments  \n",
+       "Provider_Num                                                     \n",
+       "839987                       5026.19                    4115.52  \n",
+       "519118                       5413.63                    4490.93  \n",
+       "733073                       4922.18                    4021.79  \n",
+       "201752                       5343.50                    4284.17  \n",
+       "678488                       5947.12                    4819.53  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hospital_reimbursement.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Index>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Build the indexer\n",
+    "indexer = recordlinkage.Index()\n",
+    "# Can use full or block\n",
+    "#indexer.full()\n",
+    "#indexer.block(left_on='State', right_on='Provider State')\n",
+    "\n",
+    "# Use sortedneighbor as a good option if data is not clean\n",
+    "indexer.sortedneighbourhood(left_on='State', right_on='Provider State')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "candidates = indexer.index(hospital_accounts, hospital_reimbursement)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "998860\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Let's see how many matches we want to do\n",
+    "print(len(candidates))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Takes 3 minutes using the full index.\n",
+    "# 14s using sorted neighbor\n",
+    "# 7s using blocking\n",
+    "compare = recordlinkage.Compare()\n",
+    "compare.exact('City', 'Provider City', label='City')\n",
+    "compare.string('Facility Name',\n",
+    "               'Provider Name',\n",
+    "               threshold=0.85,\n",
+    "               label='Hosp_Name')\n",
+    "compare.string('Address',\n",
+    "               'Provider Street Address',\n",
+    "               method='jarowinkler',\n",
+    "               threshold=0.85,\n",
+    "               label='Hosp_Address')\n",
+    "features = compare.compute(candidates, hospital_accounts,\n",
+    "                           hospital_reimbursement)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>City</th>\n",
+       "      <th>Hosp_Name</th>\n",
+       "      <th>Hosp_Address</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">10605</th>\n",
+       "      <th>537184</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>803181</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>450616</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>854377</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>560361</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">70226</th>\n",
+       "      <th>815904</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>746090</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>193062</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>834984</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>365095</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>998860 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          City  Hosp_Name  Hosp_Address\n",
+       "Account_Num Provider_Num                               \n",
+       "10605       537184           0        0.0           0.0\n",
+       "            803181           0        0.0           0.0\n",
+       "            450616           0        0.0           0.0\n",
+       "            854377           0        0.0           0.0\n",
+       "            560361           0        0.0           0.0\n",
+       "...                        ...        ...           ...\n",
+       "70226       815904           0        0.0           0.0\n",
+       "            746090           0        0.0           0.0\n",
+       "            193062           0        0.0           0.0\n",
+       "            834984           0        0.0           0.0\n",
+       "            365095           0        0.0           0.0\n",
+       "\n",
+       "[998860 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "features"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3.0      2285\n",
+       "2.0       451\n",
+       "1.0      7937\n",
+       "0.0    988187\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# What are the score totals?\n",
+    "features.sum(axis=1).value_counts().sort_index(ascending=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get the potential matches\n",
+    "potential_matches = features[features.sum(axis=1) > 1].reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Hosp_Name</th>\n",
+       "      <th>Hosp_Address</th>\n",
+       "      <th>Score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>51216</td>\n",
+       "      <td>268781</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>55272</td>\n",
+       "      <td>556917</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>87807</td>\n",
+       "      <td>854637</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>51151</td>\n",
+       "      <td>783146</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>11740</td>\n",
+       "      <td>260374</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Account_Num  Provider_Num  City  Hosp_Name  Hosp_Address  Score\n",
+       "0        51216        268781     0        1.0           1.0    2.0\n",
+       "1        55272        556917     1        1.0           1.0    3.0\n",
+       "2        87807        854637     1        1.0           1.0    3.0\n",
+       "3        51151        783146     1        0.0           1.0    2.0\n",
+       "4        11740        260374     1        1.0           1.0    3.0"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "potential_matches['Score'] = potential_matches.loc[:, 'City':'Hosp_Address'].sum(axis=1)\n",
+    "potential_matches.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Facility Name             ST FRANCIS MEDICAL CENTER\n",
+       "Address                       2400 ST FRANCIS DRIVE\n",
+       "City                                   BRECKENRIDGE\n",
+       "State                                            MN\n",
+       "ZIP Code                                      56520\n",
+       "County Name                                  WILKIN\n",
+       "Phone Number                         (218) 643-3000\n",
+       "Hospital Type             Critical Access Hospitals\n",
+       "Hospital Ownership    Voluntary non-profit - Church\n",
+       "Name: 51216, dtype: object"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hospital_accounts.loc[51216,:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Provider Name                SAINT FRANCIS MEDICAL CENTER\n",
+       "Provider Street Address                 211 ST FRANCIS DR\n",
+       "Provider City                              CAPE GIRARDEAU\n",
+       "Provider State                                         MO\n",
+       "Provider Zip Code                                   63703\n",
+       "Total Discharges                                      141\n",
+       "Average Covered Charges                           42515.1\n",
+       "Average Total Payments                            5902.24\n",
+       "Average Medicare Payments                         4993.43\n",
+       "Name: 268781, dtype: object"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hospital_reimbursement.loc[268781,:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Add some convenience columns for comparing data\n",
+    "hospital_accounts['Acct_Name_Lookup'] = hospital_accounts[[\n",
+    "    'Facility Name', 'Address', 'City', 'State'\n",
+    "]].apply(lambda x: '_'.join(x), axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hospital_reimbursement['Reimbursement_Name_Lookup'] = hospital_reimbursement[[\n",
+    "    'Provider Name', 'Provider Street Address', 'Provider City',\n",
+    "    'Provider State'\n",
+    "]].apply(lambda x: '_'.join(x), axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "reimbursement_lookup = hospital_reimbursement[['Reimbursement_Name_Lookup']].reset_index()\n",
+    "account_lookup = hospital_accounts[['Acct_Name_Lookup']].reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th>Acct_Name_Lookup</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10605</td>\n",
+       "      <td>SAGE MEMORIAL HOSPITAL_STATE ROUTE 264 SOUTH 1...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>24250</td>\n",
+       "      <td>WOODRIDGE BEHAVIORAL CENTER_600 NORTH 7TH STRE...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>10341</td>\n",
+       "      <td>DOUGLAS GARDENS HOSPITAL_5200 NE 2ND AVE_MIAMI_FL</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>81101</td>\n",
+       "      <td>SUNCOAST BEHAVIORAL HEALTH CENTER_4480 51ST ST...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>39835</td>\n",
+       "      <td>TREASURE VALLEY HOSPITAL_8800 WEST EMERALD STR...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Account_Num                                   Acct_Name_Lookup\n",
+       "0        10605  SAGE MEMORIAL HOSPITAL_STATE ROUTE 264 SOUTH 1...\n",
+       "1        24250  WOODRIDGE BEHAVIORAL CENTER_600 NORTH 7TH STRE...\n",
+       "2        10341  DOUGLAS GARDENS HOSPITAL_5200 NE 2ND AVE_MIAMI_FL\n",
+       "3        81101  SUNCOAST BEHAVIORAL HEALTH CENTER_4480 51ST ST...\n",
+       "4        39835  TREASURE VALLEY HOSPITAL_8800 WEST EMERALD STR..."
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "account_lookup.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th>Reimbursement_Name_Lookup</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>839987</td>\n",
+       "      <td>SOUTHEAST ALABAMA MEDICAL CENTER_1108 ROSS CLA...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>519118</td>\n",
+       "      <td>MARSHALL MEDICAL CENTER SOUTH_2505 U S HIGHWAY...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>733073</td>\n",
+       "      <td>ELIZA COFFEE MEMORIAL HOSPITAL_205 MARENGO STR...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201752</td>\n",
+       "      <td>MIZELL MEMORIAL HOSPITAL_702 N MAIN ST_OPP_AL</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>678488</td>\n",
+       "      <td>ST VINCENT'S EAST_50 MEDICAL PARK EAST DRIVE_B...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Provider_Num                          Reimbursement_Name_Lookup\n",
+       "0        839987  SOUTHEAST ALABAMA MEDICAL CENTER_1108 ROSS CLA...\n",
+       "1        519118  MARSHALL MEDICAL CENTER SOUTH_2505 U S HIGHWAY...\n",
+       "2        733073  ELIZA COFFEE MEMORIAL HOSPITAL_205 MARENGO STR...\n",
+       "3        201752      MIZELL MEMORIAL HOSPITAL_702 N MAIN ST_OPP_AL\n",
+       "4        678488  ST VINCENT'S EAST_50 MEDICAL PARK EAST DRIVE_B..."
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reimbursement_lookup.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "account_merge = potential_matches.merge(account_lookup, how='left')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Hosp_Name</th>\n",
+       "      <th>Hosp_Address</th>\n",
+       "      <th>Score</th>\n",
+       "      <th>Acct_Name_Lookup</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>51216</td>\n",
+       "      <td>268781</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>ST FRANCIS MEDICAL CENTER_2400 ST FRANCIS DRIV...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>55272</td>\n",
+       "      <td>556917</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>SCOTTSDALE OSBORN MEDICAL CENTER_7400 EAST OSB...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>87807</td>\n",
+       "      <td>854637</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>ORO VALLEY HOSPITAL_1551 EAST TANGERINE ROAD_O...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>51151</td>\n",
+       "      <td>783146</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>ST. LUKE'S BEHAVIORAL HOSPITAL, LP_1800 EAST V...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>11740</td>\n",
+       "      <td>260374</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>SUMMIT HEALTHCARE REGIONAL MEDICAL CENTER_2200...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Account_Num  Provider_Num  City  Hosp_Name  Hosp_Address  Score  \\\n",
+       "0        51216        268781     0        1.0           1.0    2.0   \n",
+       "1        55272        556917     1        1.0           1.0    3.0   \n",
+       "2        87807        854637     1        1.0           1.0    3.0   \n",
+       "3        51151        783146     1        0.0           1.0    2.0   \n",
+       "4        11740        260374     1        1.0           1.0    3.0   \n",
+       "\n",
+       "                                    Acct_Name_Lookup  \n",
+       "0  ST FRANCIS MEDICAL CENTER_2400 ST FRANCIS DRIV...  \n",
+       "1  SCOTTSDALE OSBORN MEDICAL CENTER_7400 EAST OSB...  \n",
+       "2  ORO VALLEY HOSPITAL_1551 EAST TANGERINE ROAD_O...  \n",
+       "3  ST. LUKE'S BEHAVIORAL HOSPITAL, LP_1800 EAST V...  \n",
+       "4  SUMMIT HEALTHCARE REGIONAL MEDICAL CENTER_2200...  "
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "account_merge.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th>Reimbursement_Name_Lookup</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>839987</td>\n",
+       "      <td>SOUTHEAST ALABAMA MEDICAL CENTER_1108 ROSS CLA...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>519118</td>\n",
+       "      <td>MARSHALL MEDICAL CENTER SOUTH_2505 U S HIGHWAY...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>733073</td>\n",
+       "      <td>ELIZA COFFEE MEMORIAL HOSPITAL_205 MARENGO STR...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201752</td>\n",
+       "      <td>MIZELL MEMORIAL HOSPITAL_702 N MAIN ST_OPP_AL</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>678488</td>\n",
+       "      <td>ST VINCENT'S EAST_50 MEDICAL PARK EAST DRIVE_B...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Provider_Num                          Reimbursement_Name_Lookup\n",
+       "0        839987  SOUTHEAST ALABAMA MEDICAL CENTER_1108 ROSS CLA...\n",
+       "1        519118  MARSHALL MEDICAL CENTER SOUTH_2505 U S HIGHWAY...\n",
+       "2        733073  ELIZA COFFEE MEMORIAL HOSPITAL_205 MARENGO STR...\n",
+       "3        201752      MIZELL MEMORIAL HOSPITAL_702 N MAIN ST_OPP_AL\n",
+       "4        678488  ST VINCENT'S EAST_50 MEDICAL PARK EAST DRIVE_B..."
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reimbursement_lookup.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Let's build a dataframe to  compare\n",
+    "final_merge = account_merge.merge(reimbursement_lookup, how='left')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cols = [\n",
+    "    'Account_Num', 'Provider_Num', 'Score', 'Acct_Name_Lookup',\n",
+    "    'Reimbursement_Name_Lookup'\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th>Score</th>\n",
+       "      <th>Acct_Name_Lookup</th>\n",
+       "      <th>Reimbursement_Name_Lookup</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2660</th>\n",
+       "      <td>94995</td>\n",
+       "      <td>825914</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>CLAIBORNE MEDICAL CENTER_1850 OLD KNOXVILLE HI...</td>\n",
+       "      <td>CLAIBORNE MEDICAL CENTER_1850 OLD KNOXVILLE HI...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1975</th>\n",
+       "      <td>94953</td>\n",
+       "      <td>819181</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>LAKE CHARLES MEMORIAL HOSPITAL_1701 OAK PARK B...</td>\n",
+       "      <td>LAKE CHARLES MEMORIAL HOSPITAL_1701 OAK PARK B...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1042</th>\n",
+       "      <td>94943</td>\n",
+       "      <td>680596</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>VALLEY PRESBYTERIAN HOSPITAL_15107 VANOWEN ST_...</td>\n",
+       "      <td>VALLEY PRESBYTERIAN HOSPITAL_15107 VANOWEN ST_...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2305</th>\n",
+       "      <td>94923</td>\n",
+       "      <td>403151</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>UNIVERSITY COLO HEALTH MEMORIAL HOSPITAL CENTR...</td>\n",
+       "      <td>UNIVERSITY COLO HEALTH MEMORIAL HOSPITAL CENTR...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2512</th>\n",
+       "      <td>94887</td>\n",
+       "      <td>752284</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>NEW YORK-PRESBYTERIAN BROOKLYN METHODIST HOSPI...</td>\n",
+       "      <td>NEW YORK METHODIST HOSPITAL_506 SIXTH STREET_B...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2080</th>\n",
+       "      <td>10165</td>\n",
+       "      <td>188247</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>UTAH VALLEY HOSPITAL_1034 NORTH 500 WEST_PROVO_UT</td>\n",
+       "      <td>UTAH VALLEY HOSPITAL_1034 NORTH 500 WEST_PROVO_UT</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1825</th>\n",
+       "      <td>10090</td>\n",
+       "      <td>212069</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>CANONSBURG GENERAL HOSPITAL_100 MEDICAL BOULEV...</td>\n",
+       "      <td>CANONSBURG GENERAL HOSPITAL_100 MEDICAL BOULEV...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2424</th>\n",
+       "      <td>10043</td>\n",
+       "      <td>140535</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>BETH ISRAEL DEACONESS HOSPITAL - PLYMOUTH_275 ...</td>\n",
+       "      <td>BETH ISRAEL DEACONESS HOSPITAL - PLYMOUTH_275 ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1959</th>\n",
+       "      <td>10020</td>\n",
+       "      <td>210657</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>ST FRANCIS MEDICAL CENTER_309 JACKSON STREET_M...</td>\n",
+       "      <td>ST FRANCIS MEDICAL CENTER_309 JACKSON STREET_M...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1958</th>\n",
+       "      <td>10020</td>\n",
+       "      <td>121670</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>ST FRANCIS MEDICAL CENTER_309 JACKSON STREET_M...</td>\n",
+       "      <td>UNIVERSITY HEALTH CONWAY_4864 JACKSON STREET_M...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2736 rows × 5 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Account_Num  Provider_Num  Score  \\\n",
+       "2660        94995        825914    3.0   \n",
+       "1975        94953        819181    3.0   \n",
+       "1042        94943        680596    3.0   \n",
+       "2305        94923        403151    3.0   \n",
+       "2512        94887        752284    2.0   \n",
+       "...           ...           ...    ...   \n",
+       "2080        10165        188247    3.0   \n",
+       "1825        10090        212069    3.0   \n",
+       "2424        10043        140535    3.0   \n",
+       "1959        10020        210657    3.0   \n",
+       "1958        10020        121670    2.0   \n",
+       "\n",
+       "                                       Acct_Name_Lookup  \\\n",
+       "2660  CLAIBORNE MEDICAL CENTER_1850 OLD KNOXVILLE HI...   \n",
+       "1975  LAKE CHARLES MEMORIAL HOSPITAL_1701 OAK PARK B...   \n",
+       "1042  VALLEY PRESBYTERIAN HOSPITAL_15107 VANOWEN ST_...   \n",
+       "2305  UNIVERSITY COLO HEALTH MEMORIAL HOSPITAL CENTR...   \n",
+       "2512  NEW YORK-PRESBYTERIAN BROOKLYN METHODIST HOSPI...   \n",
+       "...                                                 ...   \n",
+       "2080  UTAH VALLEY HOSPITAL_1034 NORTH 500 WEST_PROVO_UT   \n",
+       "1825  CANONSBURG GENERAL HOSPITAL_100 MEDICAL BOULEV...   \n",
+       "2424  BETH ISRAEL DEACONESS HOSPITAL - PLYMOUTH_275 ...   \n",
+       "1959  ST FRANCIS MEDICAL CENTER_309 JACKSON STREET_M...   \n",
+       "1958  ST FRANCIS MEDICAL CENTER_309 JACKSON STREET_M...   \n",
+       "\n",
+       "                              Reimbursement_Name_Lookup  \n",
+       "2660  CLAIBORNE MEDICAL CENTER_1850 OLD KNOXVILLE HI...  \n",
+       "1975  LAKE CHARLES MEMORIAL HOSPITAL_1701 OAK PARK B...  \n",
+       "1042  VALLEY PRESBYTERIAN HOSPITAL_15107 VANOWEN ST_...  \n",
+       "2305  UNIVERSITY COLO HEALTH MEMORIAL HOSPITAL CENTR...  \n",
+       "2512  NEW YORK METHODIST HOSPITAL_506 SIXTH STREET_B...  \n",
+       "...                                                 ...  \n",
+       "2080  UTAH VALLEY HOSPITAL_1034 NORTH 500 WEST_PROVO_UT  \n",
+       "1825  CANONSBURG GENERAL HOSPITAL_100 MEDICAL BOULEV...  \n",
+       "2424  BETH ISRAEL DEACONESS HOSPITAL - PLYMOUTH_275 ...  \n",
+       "1959  ST FRANCIS MEDICAL CENTER_309 JACKSON STREET_M...  \n",
+       "1958  UNIVERSITY HEALTH CONWAY_4864 JACKSON STREET_M...  \n",
+       "\n",
+       "[2736 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_merge[cols].sort_values(by=['Account_Num', 'Score'], ascending=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# If you need to save it to Excel -\n",
+    "#final_merge.sort_values(by=['Account_Num', 'Score'],\n",
+    "#                        ascending=False).to_excel('merge_list.xlsx',\n",
+    "#                                                  index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th>Score</th>\n",
+       "      <th>Acct_Name_Lookup</th>\n",
+       "      <th>Reimbursement_Name_Lookup</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2302</th>\n",
+       "      <td>11035</td>\n",
+       "      <td>550921</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>SAINT JOSEPH HOSPITAL_1375 E 19TH AVE_DENVER_CO</td>\n",
+       "      <td>PRESBYTERIAN ST LUKES MEDICAL CENTER_1719 E 19...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2303</th>\n",
+       "      <td>11035</td>\n",
+       "      <td>706807</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>SAINT JOSEPH HOSPITAL_1375 E 19TH AVE_DENVER_CO</td>\n",
+       "      <td>SAINT JOSEPH HOSPITAL_1375 EAST 19TH AVE_DENVE...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Account_Num  Provider_Num  Score  \\\n",
+       "2302        11035        550921    2.0   \n",
+       "2303        11035        706807    3.0   \n",
+       "\n",
+       "                                     Acct_Name_Lookup  \\\n",
+       "2302  SAINT JOSEPH HOSPITAL_1375 E 19TH AVE_DENVER_CO   \n",
+       "2303  SAINT JOSEPH HOSPITAL_1375 E 19TH AVE_DENVER_CO   \n",
+       "\n",
+       "                              Reimbursement_Name_Lookup  \n",
+       "2302  PRESBYTERIAN ST LUKES MEDICAL CENTER_1719 E 19...  \n",
+       "2303  SAINT JOSEPH HOSPITAL_1375 EAST 19TH AVE_DENVE...  "
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_merge[final_merge['Account_Num']==11035][cols]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th>Provider_Num</th>\n",
+       "      <th>Score</th>\n",
+       "      <th>Acct_Name_Lookup</th>\n",
+       "      <th>Reimbursement_Name_Lookup</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>155</th>\n",
+       "      <td>56375</td>\n",
+       "      <td>390402</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>BROWARD HEALTH IMPERIAL POINT_6401 N FEDERAL H...</td>\n",
+       "      <td>HOLY CROSS HOSPITAL_4725 N FEDERAL HWY_FORT LA...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>156</th>\n",
+       "      <td>56375</td>\n",
+       "      <td>451229</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>BROWARD HEALTH IMPERIAL POINT_6401 N FEDERAL H...</td>\n",
+       "      <td>BROWARD HEALTH IMPERIAL POINT_6401 N FEDERAL H...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Account_Num  Provider_Num  Score  \\\n",
+       "155        56375        390402    2.0   \n",
+       "156        56375        451229    3.0   \n",
+       "\n",
+       "                                      Acct_Name_Lookup  \\\n",
+       "155  BROWARD HEALTH IMPERIAL POINT_6401 N FEDERAL H...   \n",
+       "156  BROWARD HEALTH IMPERIAL POINT_6401 N FEDERAL H...   \n",
+       "\n",
+       "                             Reimbursement_Name_Lookup  \n",
+       "155  HOLY CROSS HOSPITAL_4725 N FEDERAL HWY_FORT LA...  \n",
+       "156  BROWARD HEALTH IMPERIAL POINT_6401 N FEDERAL H...  "
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_merge[final_merge['Account_Num']==56375][cols]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Dedupe the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hospital_dupes = pd.read_csv(\n",
+    "    'https://github.com/chris1610/pbpython/raw/master/data/hospital_account_dupes.csv',\n",
+    "    index_col='Account_Num')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Facility Name</th>\n",
+       "      <th>Address</th>\n",
+       "      <th>City</th>\n",
+       "      <th>State</th>\n",
+       "      <th>ZIP Code</th>\n",
+       "      <th>County Name</th>\n",
+       "      <th>Phone Number</th>\n",
+       "      <th>Hospital Type</th>\n",
+       "      <th>Hospital Ownership</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>71730</th>\n",
+       "      <td>SAGE MEMORIAL HOSPITAL</td>\n",
+       "      <td>STATE ROUTE 264 SOUTH 191</td>\n",
+       "      <td>GANADO</td>\n",
+       "      <td>AZ</td>\n",
+       "      <td>86505</td>\n",
+       "      <td>APACHE</td>\n",
+       "      <td>(928) 755-4541</td>\n",
+       "      <td>Critical Access Hospitals</td>\n",
+       "      <td>Voluntary non-profit - Private</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70116</th>\n",
+       "      <td>WOODRIDGE BEHAVIORAL CENTER</td>\n",
+       "      <td>600 NORTH 7TH STREET</td>\n",
+       "      <td>WEST MEMPHIS</td>\n",
+       "      <td>AR</td>\n",
+       "      <td>72301</td>\n",
+       "      <td>CRITTENDEN</td>\n",
+       "      <td>(870) 394-4113</td>\n",
+       "      <td>Psychiatric</td>\n",
+       "      <td>Proprietary</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>87991</th>\n",
+       "      <td>DOUGLAS GARDENS HOSPITAL</td>\n",
+       "      <td>5200 NE 2ND AVE</td>\n",
+       "      <td>MIAMI</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>33137</td>\n",
+       "      <td>MIAMI-DADE</td>\n",
+       "      <td>(305) 751-8626</td>\n",
+       "      <td>Acute Care Hospitals</td>\n",
+       "      <td>Voluntary non-profit - Private</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22662</th>\n",
+       "      <td>SUNCOAST BEHAVIORAL HEALTH CENTER</td>\n",
+       "      <td>4480 51ST ST W</td>\n",
+       "      <td>BRADENTON</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>34210</td>\n",
+       "      <td>MANATEE</td>\n",
+       "      <td>(941) 792-2222</td>\n",
+       "      <td>Psychiatric</td>\n",
+       "      <td>Proprietary</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63165</th>\n",
+       "      <td>TREASURE VALLEY HOSPITAL</td>\n",
+       "      <td>8800 WEST EMERALD STREET</td>\n",
+       "      <td>BOISE</td>\n",
+       "      <td>ID</td>\n",
+       "      <td>83704</td>\n",
+       "      <td>ADA</td>\n",
+       "      <td>(208) 373-5000</td>\n",
+       "      <td>Acute Care Hospitals</td>\n",
+       "      <td>Proprietary</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 Facility Name                    Address  \\\n",
+       "Account_Num                                                                 \n",
+       "71730                   SAGE MEMORIAL HOSPITAL  STATE ROUTE 264 SOUTH 191   \n",
+       "70116              WOODRIDGE BEHAVIORAL CENTER       600 NORTH 7TH STREET   \n",
+       "87991                 DOUGLAS GARDENS HOSPITAL            5200 NE 2ND AVE   \n",
+       "22662        SUNCOAST BEHAVIORAL HEALTH CENTER             4480 51ST ST W   \n",
+       "63165                 TREASURE VALLEY HOSPITAL   8800 WEST EMERALD STREET   \n",
+       "\n",
+       "                     City State  ZIP Code County Name    Phone Number  \\\n",
+       "Account_Num                                                             \n",
+       "71730              GANADO    AZ     86505      APACHE  (928) 755-4541   \n",
+       "70116        WEST MEMPHIS    AR     72301  CRITTENDEN  (870) 394-4113   \n",
+       "87991               MIAMI    FL     33137  MIAMI-DADE  (305) 751-8626   \n",
+       "22662           BRADENTON    FL     34210     MANATEE  (941) 792-2222   \n",
+       "63165               BOISE    ID     83704         ADA  (208) 373-5000   \n",
+       "\n",
+       "                         Hospital Type              Hospital Ownership  \n",
+       "Account_Num                                                             \n",
+       "71730        Critical Access Hospitals  Voluntary non-profit - Private  \n",
+       "70116                      Psychiatric                     Proprietary  \n",
+       "87991             Acute Care Hospitals  Voluntary non-profit - Private  \n",
+       "22662                      Psychiatric                     Proprietary  \n",
+       "63165             Acute Care Hospitals                     Proprietary  "
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hospital_dupes.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Deduping follows the same process, you just use 1 single dataframe\n",
+    "dupe_indexer = recordlinkage.Index()\n",
+    "dupe_indexer.sortedneighbourhood(left_on='State')\n",
+    "dupe_candidate_links = dupe_indexer.index(hospital_dupes)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Comparison step\n",
+    "compare_dupes = recordlinkage.Compare()\n",
+    "compare_dupes.string('City', 'City', threshold=0.85, label='City')\n",
+    "compare_dupes.string('Phone Number',\n",
+    "                     'Phone Number',\n",
+    "                     threshold=0.85,\n",
+    "                     label='Phone_Num')\n",
+    "compare_dupes.string('Facility Name',\n",
+    "                     'Facility Name',\n",
+    "                     threshold=0.80,\n",
+    "                     label='Hosp_Name')\n",
+    "compare_dupes.string('Address',\n",
+    "                     'Address',\n",
+    "                     threshold=0.85,\n",
+    "                     label='Hosp_Address')\n",
+    "dupe_features = compare_dupes.compute(dupe_candidate_links, hospital_dupes)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>City</th>\n",
+       "      <th>Phone_Num</th>\n",
+       "      <th>Hosp_Name</th>\n",
+       "      <th>Hosp_Address</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Account_Num_1</th>\n",
+       "      <th>Account_Num_2</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"3\" valign=\"top\">26270</th>\n",
+       "      <th>28485</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30430</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43602</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">59585</th>\n",
+       "      <th>28485</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30430</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">64029</th>\n",
+       "      <th>38600</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35413</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>81525</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82916</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18907</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>981277 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                             City  Phone_Num  Hosp_Name  Hosp_Address\n",
+       "Account_Num_1 Account_Num_2                                          \n",
+       "26270         28485           0.0        0.0        0.0           0.0\n",
+       "              30430           0.0        0.0        0.0           0.0\n",
+       "              43602           0.0        0.0        0.0           0.0\n",
+       "59585         28485           0.0        0.0        0.0           0.0\n",
+       "              30430           0.0        0.0        0.0           0.0\n",
+       "...                           ...        ...        ...           ...\n",
+       "64029         38600           0.0        0.0        0.0           0.0\n",
+       "              35413           0.0        0.0        0.0           0.0\n",
+       "              81525           0.0        0.0        0.0           0.0\n",
+       "              82916           0.0        0.0        0.0           0.0\n",
+       "              18907           0.0        0.0        0.0           0.0\n",
+       "\n",
+       "[981277 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dupe_features"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3.0         7\n",
+       "2.0       206\n",
+       "1.0      7859\n",
+       "0.0    973205\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dupe_features.sum(axis=1).value_counts().sort_index(ascending=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "potential_dupes = dupe_features[dupe_features.sum(axis=1) > 2].reset_index()\n",
+    "potential_dupes['Score'] = potential_dupes.loc[:, 'City':'Hosp_Address'].sum(axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Account_Num_1</th>\n",
+       "      <th>Account_Num_2</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Phone_Num</th>\n",
+       "      <th>Hosp_Name</th>\n",
+       "      <th>Hosp_Address</th>\n",
+       "      <th>Score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>28494</td>\n",
+       "      <td>37949</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>74835</td>\n",
+       "      <td>77000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>24549</td>\n",
+       "      <td>28485</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>70366</td>\n",
+       "      <td>52654</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>61685</td>\n",
+       "      <td>24849</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>51567</td>\n",
+       "      <td>41166</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>26495</td>\n",
+       "      <td>41079</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Account_Num_1  Account_Num_2  City  Phone_Num  Hosp_Name  Hosp_Address  \\\n",
+       "0          28494          37949   1.0        1.0        0.0           1.0   \n",
+       "1          74835          77000   1.0        1.0        0.0           1.0   \n",
+       "2          24549          28485   1.0        1.0        0.0           1.0   \n",
+       "3          70366          52654   1.0        1.0        0.0           1.0   \n",
+       "4          61685          24849   1.0        1.0        0.0           1.0   \n",
+       "5          51567          41166   1.0        1.0        1.0           0.0   \n",
+       "6          26495          41079   1.0        1.0        0.0           1.0   \n",
+       "\n",
+       "   Score  \n",
+       "0    3.0  \n",
+       "1    3.0  \n",
+       "2    3.0  \n",
+       "3    3.0  \n",
+       "4    3.0  \n",
+       "5    3.0  \n",
+       "6    3.0  "
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "potential_dupes.sort_values(by=['Score'], ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Facility Name</th>\n",
+       "      <th>Address</th>\n",
+       "      <th>City</th>\n",
+       "      <th>State</th>\n",
+       "      <th>ZIP Code</th>\n",
+       "      <th>County Name</th>\n",
+       "      <th>Phone Number</th>\n",
+       "      <th>Hospital Type</th>\n",
+       "      <th>Hospital Ownership</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Account_Num</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>41166</th>\n",
+       "      <td>ST VINCENT HOSPITAL</td>\n",
+       "      <td>835 S VAN BUREN ST</td>\n",
+       "      <td>GREEN BAY</td>\n",
+       "      <td>WI</td>\n",
+       "      <td>54301</td>\n",
+       "      <td>BROWN</td>\n",
+       "      <td>(920) 433-0111</td>\n",
+       "      <td>Acute Care Hospitals</td>\n",
+       "      <td>Voluntary non-profit - Church</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51567</th>\n",
+       "      <td>SAINT VINCENT HOSPITAL</td>\n",
+       "      <td>835 SOUTH VAN BUREN ST</td>\n",
+       "      <td>GREEN BAY</td>\n",
+       "      <td>WI</td>\n",
+       "      <td>54301</td>\n",
+       "      <td>BROWN</td>\n",
+       "      <td>(920) 433-0112</td>\n",
+       "      <td>Acute Care Hospitals</td>\n",
+       "      <td>Voluntary non-profit - Church</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      Facility Name                 Address       City State  \\\n",
+       "Account_Num                                                                    \n",
+       "41166           ST VINCENT HOSPITAL      835 S VAN BUREN ST  GREEN BAY    WI   \n",
+       "51567        SAINT VINCENT HOSPITAL  835 SOUTH VAN BUREN ST  GREEN BAY    WI   \n",
+       "\n",
+       "             ZIP Code County Name    Phone Number         Hospital Type  \\\n",
+       "Account_Num                                                               \n",
+       "41166           54301       BROWN  (920) 433-0111  Acute Care Hospitals   \n",
+       "51567           54301       BROWN  (920) 433-0112  Acute Care Hospitals   \n",
+       "\n",
+       "                        Hospital Ownership  \n",
+       "Account_Num                                 \n",
+       "41166        Voluntary non-profit - Church  \n",
+       "51567        Voluntary non-profit - Church  "
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Take a look at one of the potential duplicates\n",
+    "hospital_dupes[hospital_dupes.index.isin([51567, 41166])]"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.7.2 64-bit",
+   "language": "python",
+   "name": "python37264bit24e6adcd4e9b4d8bb6ff9239d4d45105"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Seaborn_Release_MN_Counties.ipynb b/notebooks/Seaborn_Release_MN_Counties.ipynb
new file mode 100644
index 0000000..a24efd9
--- /dev/null
+++ b/notebooks/Seaborn_Release_MN_Counties.ipynb
@@ -0,0 +1,1291 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Seaborn Release 0.9 Highlights\n",
+    "\n",
+    "Full post on [Practical Business Python](http://pbpython.com/seaborn09.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import seaborn as sns\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now that imports are done, enable inline display, set seaborn style and read in the file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sns.set()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# File is in the data directory of the repo\n",
+    "df = pd.read_csv(\"https://raw.githubusercontent.com/chris1610/pbpython/master/data/MN_Traffic_Fatalities.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>County</th>\n",
+       "      <th>Twin_Cities</th>\n",
+       "      <th>Pres_Election</th>\n",
+       "      <th>Public_Transport(%)</th>\n",
+       "      <th>Travel_Time</th>\n",
+       "      <th>Population</th>\n",
+       "      <th>2012</th>\n",
+       "      <th>2013</th>\n",
+       "      <th>2014</th>\n",
+       "      <th>2015</th>\n",
+       "      <th>2016</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>23.2</td>\n",
+       "      <td>1237604</td>\n",
+       "      <td>33</td>\n",
+       "      <td>42</td>\n",
+       "      <td>34</td>\n",
+       "      <td>33</td>\n",
+       "      <td>45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Dakota</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>418432</td>\n",
+       "      <td>19</td>\n",
+       "      <td>19</td>\n",
+       "      <td>10</td>\n",
+       "      <td>11</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Anoka</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Trump</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>28.2</td>\n",
+       "      <td>348652</td>\n",
+       "      <td>25</td>\n",
+       "      <td>12</td>\n",
+       "      <td>16</td>\n",
+       "      <td>11</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>St. Louis</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>199744</td>\n",
+       "      <td>11</td>\n",
+       "      <td>19</td>\n",
+       "      <td>8</td>\n",
+       "      <td>16</td>\n",
+       "      <td>19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Ramsey</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>6.4</td>\n",
+       "      <td>23.6</td>\n",
+       "      <td>540653</td>\n",
+       "      <td>19</td>\n",
+       "      <td>12</td>\n",
+       "      <td>12</td>\n",
+       "      <td>18</td>\n",
+       "      <td>15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Washington</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>25.8</td>\n",
+       "      <td>253128</td>\n",
+       "      <td>8</td>\n",
+       "      <td>10</td>\n",
+       "      <td>8</td>\n",
+       "      <td>12</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Olmsted</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>5.2</td>\n",
+       "      <td>17.5</td>\n",
+       "      <td>153039</td>\n",
+       "      <td>2</td>\n",
+       "      <td>12</td>\n",
+       "      <td>8</td>\n",
+       "      <td>14</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Cass</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Trump</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>23.3</td>\n",
+       "      <td>28895</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5</td>\n",
+       "      <td>6</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Pine</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Trump</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>30.3</td>\n",
+       "      <td>28879</td>\n",
+       "      <td>14</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Becker</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Trump</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>22.7</td>\n",
+       "      <td>33766</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       County Twin_Cities Pres_Election  Public_Transport(%)  Travel_Time  \\\n",
+       "0    Hennepin         Yes       Clinton                  7.2         23.2   \n",
+       "1      Dakota         Yes       Clinton                  3.3         24.0   \n",
+       "2       Anoka         Yes         Trump                  3.4         28.2   \n",
+       "3   St. Louis          No       Clinton                  2.4         19.5   \n",
+       "4      Ramsey         Yes       Clinton                  6.4         23.6   \n",
+       "5  Washington         Yes       Clinton                  2.3         25.8   \n",
+       "6     Olmsted          No       Clinton                  5.2         17.5   \n",
+       "7        Cass          No         Trump                  0.9         23.3   \n",
+       "8        Pine          No         Trump                  0.8         30.3   \n",
+       "9      Becker          No         Trump                  0.5         22.7   \n",
+       "\n",
+       "   Population  2012  2013  2014  2015  2016  \n",
+       "0     1237604    33    42    34    33    45  \n",
+       "1      418432    19    19    10    11    28  \n",
+       "2      348652    25    12    16    11    20  \n",
+       "3      199744    11    19     8    16    19  \n",
+       "4      540653    19    12    12    18    15  \n",
+       "5      253128     8    10     8    12    13  \n",
+       "6      153039     2    12     8    14    12  \n",
+       "7       28895     6     5     6     4    10  \n",
+       "8       28879    14     7     4     9    10  \n",
+       "9       33766     4     3     3     1     9  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Create a basic scatter plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4542cb0828>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f4542cb02e8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(x='2016', y='Travel_Time', data=df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Try a different style based on the Pres_Election column"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4543531128>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f454c19b4a8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(x='2016', y='Travel_Time', style='Pres_Election', data=df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Size of the marks can be controlled via the size parameter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f453a3b7048>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f453a31c940>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(x='2016', y='Travel_Time', size='Population', data=df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Show size and hue"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f453a22a6d8>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f453a235e48>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(x='2016', y='Travel_Time', size='Population', hue='Twin_Cities', data=df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Need to create a tidy data frame in order to be most effective with the subsequent plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_melted = pd.melt(df, id_vars=['County', 'Twin_Cities', 'Pres_Election', \n",
+    "                               'Public_Transport(%)', 'Travel_Time', 'Population'], \n",
+    "                  value_vars=['2016', '2015', '2014', '2013', '2012'], \n",
+    "                  value_name='Fatalities',\n",
+    "                  var_name=['Year']\n",
+    "                 )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here's what the data looks like for Hennepin County"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>County</th>\n",
+       "      <th>Twin_Cities</th>\n",
+       "      <th>Pres_Election</th>\n",
+       "      <th>Public_Transport(%)</th>\n",
+       "      <th>Travel_Time</th>\n",
+       "      <th>Population</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Fatalities</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>23.2</td>\n",
+       "      <td>1237604</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>23.2</td>\n",
+       "      <td>1237604</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>23.2</td>\n",
+       "      <td>1237604</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>23.2</td>\n",
+       "      <td>1237604</td>\n",
+       "      <td>2013</td>\n",
+       "      <td>42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>23.2</td>\n",
+       "      <td>1237604</td>\n",
+       "      <td>2012</td>\n",
+       "      <td>33</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      County Twin_Cities Pres_Election  Public_Transport(%)  Travel_Time  \\\n",
+       "0   Hennepin         Yes       Clinton                  7.2         23.2   \n",
+       "10  Hennepin         Yes       Clinton                  7.2         23.2   \n",
+       "20  Hennepin         Yes       Clinton                  7.2         23.2   \n",
+       "30  Hennepin         Yes       Clinton                  7.2         23.2   \n",
+       "40  Hennepin         Yes       Clinton                  7.2         23.2   \n",
+       "\n",
+       "    Population  Year  Fatalities  \n",
+       "0      1237604  2016          45  \n",
+       "10     1237604  2015          33  \n",
+       "20     1237604  2014          34  \n",
+       "30     1237604  2013          42  \n",
+       "40     1237604  2012          33  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_melted[df_melted.County == \"Hennepin\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now that we have tidy data, let's plot some line plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f453a241cf8>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f453a15d4e0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.lineplot(x='Year', y='Fatalities', data=df_melted, hue='Twin_Cities')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Disable the confidence interval"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f453a14e780>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f453a17e6d8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.lineplot(x='Year', y='Fatalities', data=df_melted, hue='Twin_Cities', ci=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "relplot supports line and scatter plots on a FacetGrid.\n",
+    "relplots provide more plotting options than the basic line or scatter plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f453a110eb8>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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N44477mDYsGEey1JeeaVTjclk4oknniAxMZHly5dTv359pk+fDsCoUaO47rrrSExMZOXKlcTExHgjklf4+VkwzCacJjOYzVit6sMkUhldUT2wWNs9ITIykqVLl3LixAkgf9Hd80snHTx4kAYNGtC3b18efvhhfvzxx1LLUZ545QkxNDTUtfwIQJs2bZg/fz6HDh3i559/5q233nLtu+KKK7wRqVRZLGacJhP/2X+alZt+5Vx6DuHVAunVuTFN64dicjo9tjqHiJR9A7pFXPAOEcDfz8KAbhGlds2bbrqJoUOH8tRTT+F0OrHb7XTv3p2WLVvywQcfsH37dvz8/LDZbIwZM6bUcpQnXl/+yel08thjjxEZGUndunV57733uPrqq9m7dy9XXHEFI0aMoEmTJt6M5HEnkzP537c2cSI586J9DetUZfyTHQmrGuCDZCLiK6XVy1Q8x+sFcfz48Zw4cYJZs2bx2Wef8fe//525c+fSrl071q5dy9SpU1m3bl2xzlmm1kO0mBn/3jYOHy/4HDc0q8HQ+1qDw1n6eTxMedxTHvcqQh6th1hxefWlVmxsLIcPH+aNN97AbDZTt25d6tSpQ7t27QC48847OXXqFMnJyd6M5TFms4mU9Fy3xRBgx75T5DnUZCoiUpZ4rSDOmDGDXbt2ERcXh81mA6Bly5YEBQWxf/9+AL799luqVatG9erVvRXLo6xWCxt/+L1Ix/74y2l1shERKUO80qlm//79xMfH07BhQ1cv0nr16hEXF8err77K6NGjyc3NJTAwkFmzZl3Qdbg8MZkgJ9dR+IFAnt1Rbv+cIiIVkVcKYpMmTdi3b98l97Vq1YpPPvnEGzFKncPh5NpG4azafKjQYxtfGYqjCO8QRUTEO9Rm50F2u5OIhmEE+rv/d0aN6oHUCA3Q0AsRkTJEBdHDzIbB8H43YC6gNdRqMfNi/7ZY1FoqIlKmqCB6mNPhpFHdqkwZcivNGvzROchkgjZNavD6c52oWTUAh13NpSLiGZGRkURHR+N0Oi/Y9vPPP/swVflT5HeIubm5xMfHs3LlSlJSUvjmm2/YtGkThw8fpl+/fqWZsdwxHE5qVQtgxENtcRqQ53Bgs1owm/KfIJ16dyhS6aTt2kDKF/Owp57BWjWc6nc8REjLTh47f2ZmJsuWLaN3794eO2dlU+QnxClTprB7924mTZrk+ldI48aNtSpzARwOJyanE4vhJMBswux0gkNTtolURmm7NnB6ZTz21NOAgT31NKdXxpO2a4PHrjF06FBmzpxJbm7uBdsPHz7MI488Qo8ePejduzcbNnjumhVNkQvi2rVref3112nXrh1mc/7XateuzfHjx0stnIhIRZDyxTwMe84F2wx7DilfzPPYNVq2bEnLli2ZP3/+BduHDx9OdHQ0y5cvZ9q0abz44ovldvKT0lbkgmi1WvnrLG/JyclUq1bN46FERCoSe+qZYm2/XM899xz/+te/XOseGobB3r176dOnDwDXXHMNERERfP/99x69bkVR5IIYFRXF6NGjSUpKAvKL4aRJk+jevXuphRMRqQisVcOLtf1yNWrUiM6dO/P+++8DXPQQc54mBbm0IhfEF154gRo1ahAVFUVqaiq33347oaGhWlRSRKQQ1e94CJPV/4JtJqs/1e94yOPXGjZsGB999BEZGRmYzWYiIiJYsmQJAAcOHOCnn36idevWHr9uRVDkXqbn18x6+eWXOXXqFFdccYXrXaKIiBTsfG/S0uxlel7t2rXp2bMn//d//wfA9OnTGTNmDHPmzMFqtTJ16lTCwsI8ft2KoFjLP+Xk5HDkyBEyMy9c5++6667zeLDiKFPLP3mY8rinPO4pj3ta/kn+rMhPiJ9++ikTJkwAICDgwsVtN27c6NlUIiIiXlbkgjh16lRee+01OnfuXJp5REREfKJYwy5uvvnm0swiIiLiM0UuiEOHDmXq1KmkpqaWZh4RERGfKHKTadOmTZk9ezYffvghFosFyB/jYjKZ2LVrV6kFFBER8YYiF8QXX3yRu+++m+7du+Pv71/4F0RERMqRIhfE5ORknn/+ec1wICJSxkRGRmKz2bDZbDidTp5++mnuvvtuj1/n4Ycf5rHHHuOOO+5we9ycOXPo0aMH4eH5M/HMnz+fnJwcBg4c6PFMnlTkgtizZ09WrFhBjx49SjOPiIhchjfffJOmTZuyZ88eYmJi6Nixo88G4M+dO5ebb77ZVRD79u3rkxzFVeSCuG/fPhISEoiPj3f9Ic+bO3eux4OJiEjxtWjRgipVqnDkyBH+9a9/8fXXXwNw2223MXz4cCwWC6NGjcJqtXL06FGSkpJo3749Y8aMwWazXfQUWNBT4fLly5k7dy55eXkAjBw5ko4dO/LWW29x8uRJnnnmGfz9/XnttddYvXo1mZmZjBw5EofDwfTp0wvMZbPZOHToEMePH6dNmzbExsZ6rWWyyAXxnnvu4Z577inNLCIiUkJbt24lJyeHrVu3snfvXhYvXgzAoEGD+Pjjj10Luv/www8kJCTg7+/Pk08+yYIFC+jfv3+Rr3PrrbcSHR2NyWTi4MGDDBw4kA0bNvD000+zcOFC1xPrX3388cduc+3fv585c+ZgMpno3bs3mzdv5pZbbinpj6VIilwQ77///tLMISIiJXD+iSw4OJiZM2eSkJBA7969sdlsANx7772sW7fOVXi6d+9OlSpVAOjVqxdr164tVkE8cuQIL7zwAidOnMBqtXL69GlOnTpFjRo13H5vy5YtbnN17drV1XGzRYsW/Pbbb2WjIK5YsYLo6GgAli5dWuBxvXr18mwqEREplr8+kc2fP/+ipsaCmh7PD6EDsFgsOJ1O176cnJxLfuf5559n1KhRdO3aFafTSevWrQs8tqBrXSrXn0cxWCwWHA5Hoef0FLcFccmSJa6CuGDBgkseYzKZVBBFRMqYm2++mSVLltCtWzcg/6HmzjvvdO1fs2YNjzzyCDabjU8//dT1jvCqq65i586ddOnShV9++YW9e/de8vxpaWnUq1cPgE8++YTc3FzXvipVqpCWdulJ0wvL5UtuC+J7773negT+6KOPvJVJRERK6MEHH+S3336jd+/eQP47vwceeMC1v3379gwZMoRjx47Rvn17175Bgwbx7LPPsmHDBpo1a0aLFi0uef7Ro0czePBgatWqxY033khoaKhr34ABA/jf//1fAgICeO2114qVy5cKXf7phhtuYMeOHd7Kc1m0/JP3KI97yuNeRchTEZZ/GjVqFC1btizWO8PKoNC5TIuxXKKIiEi5VWgvU81MIyJSsUyZMsXXEcqkQgtiZmYmERERl9x3vrdQQS9dRUREyotCC2JgYCDLli3zRhYRn7L6Wci1O8FkwgT4mU3Y7d7r8i0ivlWkJtOrrrrKG1lEfMJsMWMHPtt+lHXf/kZmdh5XhAbSq1NjWjYKx2w4cTj0Ll2koiu0IKpTjVRkFouJ4+eyGfPOFnJy/3gaPJeey2sf7aB2eBCvPHUzfmY81pNZRMqmQnuZvv3220U+WUED9FNSUhg0aBBRUVH06NGDoUOHkpycfMExo0ePplmzZmRkZBT5eiIllWeYGPP2hcXwz46fyWT8u1txmgr9qyJSoKNHjzJlyhQ6d+5M+/bt6dy5M1OmTOHo0aO+jiZ/Uujf8htvvLHIJzt8+PAlt5tMJp544gkSExNZvnw59evXZ/r06a7969evV29W8Tqrn5nErYfJyXP/nvDoyXROpGRiNuseleLbtGkTMTExLF26lIyMDAzDICMjg6VLlxITE8OmTZs8cp1ff/2VBx98kKioKB588EEOHTrkkfNWJh79Z29BRS00NJQOHTq4Prdp04Zjx44B+U+Ps2bNYvTo0Z6MIlKoPAd89u1vRTp21eZfMVv0lCjFc/ToUUaOHEl2djZ2u/2CfXa7nezsbEaOHOmRJ8WxY8fSr18/EhMT6devH2PGjCnxOSubIq924SlOp5P58+cTGRkJwIQJExg2bBghIZc/+0N4eLCn4gFlbyYK5XHvcvMkp2aTnplXpGNTM/Kw+ftRPTSo1PKUFuVxrzTzfPjhhxcVwr+y2+3MmzePkSNHXvZ1zpw5w549e3j//fcBiI6O5pVXXiE5OdlniwSXR14viK+88gpBQUH079+f1atX4+fnd9HCk8Wlqdu8pyLlMcxmqlf151RKVqHHXhEaQG5OHpnp2aWWpzQoj3ulPXXb6tWri1QQV61aVaKCmJSURK1atbBYLED+KhE1a9YkKSlJBbEYPNoGVFiP1NjYWA4fPswbb7yB2Wxm27ZtbN26lcjISNcTY3R0NL/88osnY5U7ZrMJs8WM02TibFo2Vqua6kqDnwXuvuXqIh0bfcvVOB3Owg8U+ZPMzEyPHiely6NPiGPHji1w34wZM9i1axfvvPOOa2HIcePGMW7cONcxzZo1Y8WKFa5FKysbkwmwWDidms3iL37htxNpWMwm2reoxZ0dGuBnMmE49UvZU+x5Tjq1uZLFX/xCakZugcdFNKxOaLA/Tg3Sl2IKCgoqUs/5oKDCm+LdqVOnDidOnMDhcLjWEDx58iR16tQp0XkrG7cFsagdXSZPngwUPOxi//79xMfH07BhQ2JiYgCoV68ecXFxxclaoZlMYLJaeSPhO77ff+qCfYePp7Hoi194omdLbr62NoaeVDzGYhi8+vQt/OPtzZxNu3hx02ZXVWdE/3agn7lchm7durF06VK3zaZWq5Xu3buX6Drh4eFERESwYsUKevbsyYoVK4iIiFBzaTG5LYi1atXyyEWaNGnCvn37Cj2uKMdUVIbZzOxPfrioGLr2G/CvpbuoHhJAy4ah2PP0C9oTHA4nIf5mZjzbiX2/pbBm62EysvKoERpIr86NqREaCA6nJqiQy9K/f39WrFhRaEF86KGHSnytcePGMWrUKGbPnk3VqlWJjY0t8Tkrm0LXQywPynunGpMJMu0GQ6Z9UeixNasHMmXwLT57YqkInSIKYrWacRjgNAwsZhM4jWLfVxX55+MJFSFPcXulbtq0iZEjR2K32y8ojFarFavVSmxsLLfcckuxzimlo1i9NbZu3cqYMWMYPHgwALt37+abb74plWCVidVqYdXmQ0U69mRKFmfTc9E8Bp5ntzsxHE5MTgOn3amp2sQjbrnlFhISEujduzdVqlTBZDJRpUoVevfuTUJCgophGVLkTjXz5s3j//7v/+jTpw8rV64EwM/PjxkzZjB//vxSC1gZ2J0Gv59KL/LxJ1MyCQ8OxaH3WiLlQr169Rg5cmSJhlZI6SvyE+L777/PnDlzGDx4MGZz/tcaN27MwYMHSy2ct/j5WYq0rbSYTCb8i3E9fz+L3mmJXCaTyYTNZsXiZ8HpdGpYk7gU+QkxIyODunXrAn9M0eZwOPDz8yudZF4SYrNjpB3DUqUW2XZLgdtKkxmDyHb12bb7eKHHWi1mrqpdFadDQwBEisPy32W+0rPsrP36IMnnsrH5WehwbW2aNaiOBXBoaE2lVuSC2LZtW9577z2efPJJ17Z58+bRvn37UgnmDSE2O+e+nEvGrq+p0fM5Aq9siSMz9YJtAVe2LPWiaLc7aVI/lOBAP9Kz3E8ldlubulgwUGOpSNGZLWbOZuYxI+E7DiWlXrDvyx1HCQqw8kCXJtx+Qz2chUz2LhVXkXuZnjhxgqeeeoqMjAyOHTtGw4YN8fPz45133qFmzZqlndOty+ll6m+zYD6+m5OfTPnvFhNh3Z4i98ge0ndtyN9itVF/6NucyzaXegcLs8XEyXM5vBS/mTz7pctdvZrBTHiyIyaHA1+1mFaEXoKlSXnc80Uei8XE6bRcRs/eRG4Bf7fOi7qpAX27NnU7CcPlzH16/PhxFixYwNq1a8nMzCQoKIioqCjuv/9+ateuXezzSeko1rALp9PJd999R1JSErVr1+b66693zZ3nS5c77KKKn4PsnZ9xdkPCRftMFj9q9RtLXsiV5Nq906XTbDGTnuPg/RW72bHvpKvoBfpbubPDVfTq1BiT07e9H/UL1j3lcc8neawWhr32JRmFtL6c97+PtKd5/WrYCyiexSmIhmHwr3/9izlz5gCQm/vHjEjnZ+waOHAggwYNKvESeJGRkdhsNvzMu1U5AAAgAElEQVT9/QEYPnw4t912G99//z1jxowhJyeHK6+8kmnTphEeHg7g9X1lXZEL4ocffkj37t3L5MwHJRmHWMXPQdZ3qzi3edEF22s/PNGrxfA8s9mEYTLhANIy8vDzMxPkb8UK2MvA+w39gnVPedzzdh6r1cyPv6Ywfd5/ivydq+tW5eVHbyxwrG9xCuI777zD3Llzyc4ueFL4gIAABgwYcMHrqMsRGRlJfHw8TZs2dW0zDIM777yTyZMn065dO2bPns2RI0eYPHmy1/eVB0XuXvX1118TGRnJ448/7lrosiIwmwzs505ctN1+7jRmH7ypczoNDIcTs8NJtQALDWpXBbujTBRDkfImzwmLvyzeYgG/Hksl2wPvEY8fP86cOXPcFkOA7Oxs5syZw/HjhXeqK66dO3fi7+9Pu3btAIiJiWHNmjU+2VceFLkgvv3223z55Zd07dqVhQsXcuutt/Lcc8/x+eefl2a+UuXqVLN740X7Tn/6T/h9FwFWFSKRcssEv58s+hjf806mZGE2l6x1aOHChcUaHvXJJ5+U6HqQ30zao0cPxo0bR2pqKklJSa7RAQBhYWE4nU7Onj3r9X3lQbEG4ISGhtK3b1/mzZvH8uXLSU1NZejQoaWVrVT52yzYj/9CxvkONBY/aj80geqdYv57hMHplXEE2swl/oshIpVPYmIieXlFe2+Zm5tLYmJiia43b948Pv30UxYtWoRhGEyYMKFE56uMij0i9fvvv2fixInExMTw+++/u6ZxK29ych2YazUhtFPMHx1oqtWnartuf2zrO4aMXDSFl0h5ZUDdGsVfTq5m9cAS/70v7hqHJX0NdX6pJ5vNRr9+/dixYwd16tTh2LFjrmOSk5MxmUyEhoZ6fV95UOSC+Nprr9GlSxeeffZZrFYrb731FomJiQwbNqw085WqjDwLAa3+hyv/NtPVgcYSGHzRNhEpn/zM0Of2a4r1navrVi3WzFEFKe4ahyVZBzYzM5O0tPzOSoZhsGrVKiIiImjZsiXZ2dls374dgISEBLp16wbg9X3lQZEH5qekpDBp0iQ6dOhQ4u7BZUlGngWLxe+CeUEvtU1Eyh+73UmLRuFFmvTivJj/aYafCQpesKlooqKi+Oijj4rUbGqz2YiKirrsa505c4Zhw4bhcDhwOp00btyYsWPHYjabmTp1KmPHjr1gGATg9X3lgZZ/+ovK3k29MMrjnvK4V5kG5h8/fpx77733grGHBbHZbCxevFiD9H2syE+IDoeDhIQEvv32W1JSUi7oPTV37txSCecpQVYHflYTqTnmPwa7+zmwWU2kZpt9NuuLiJQ+h8MgPMSfac/cxusf7eDw8YsLclCAlfsjm3BHW89N3Va7dm0GDhxY5HGIKoa+V+SCOHnyZDZu3MgDDzzAzJkzGTZsGB9//DHdu3cvzXwlFmR1kHdgK+f2bSO8xzOk5VoJsDqwH/iG1L2bCL/nOdJyrSqKIhWY0+EkNNCPMY93ICPLztpvDrsm976xRS2aNwzDYgKHh+cxHTRoEIDbmWoGDBjgOk58q8hNprfddhvz58+nXr16tG3blv/85z8cOHCAcePG8e9//7u0c7pVUJNpgNWB89B2zqx6K/9zw+uo2fsF0vduJnnN2/nbGrTkip7Pcy47v3+RmpjcUx73lMe9spDHZDLh52fBYRhUqxpA6rmsAqdpu5TLnct04cKFrF27loyMDKpUqUJUVBT33XefngzLkCI/IWZnZ3PllVcCEBgYSHZ2No0bN2b37t2lFq6k7IaVwLpNMPkHYeRkkn3oR37/13M40lNcxwRe0448hx4PRSoLwzDIzc3vMmMxm4tVDC9X7dq1GTZsWLnulV8ZFLkgNmrUiJ07d3Lddddx7bXXEhcXR0hIiM9XunDH7jDIsoVT5+GJJP37Hxg5mRcUw+pdBmJrfhuZeb6foFxEKq6srCzWrFnDhg0bSEtLIyQkhE6dOnHXXXcRGBjo63jyX0UuiKNHj8Zszm9WHDlyJGPHjiUjI4Px48eXWjhPsNsNjKAwqjS/mfQf1rm2W6pUI6R1JGczNLRCREqHw+EgLi6OBQsWYDKZyMrKcu3bvn07r732Gg888ABDhgwpEysHVXZFKogOh4NDhw65OtA0atTI5+8NiyrQz0HOz99cUAwBHBnnOLl4uqujjTrViIgnORwOXnjhBbZv337JXqbni+OCBQs4ePAgr732moqijxVpphqLxcIrr7zi6hVVXgRYHTgO7XB1oAEIbtUZk3/+DBLZh37kzPI3CfHXU6KIeFZcXFyBxfDPzs/sEhcXd9nXio2NJTIykmbNmvHzzz+7tv/66688+OCDREVF8eCDD3Lo0KEyua+sKPLUbbfffjtfffVVaWbxODsW/Gs3wmTLb6Ov3mUgVe94lDoPT3QVxcDG12NXpxoR8aCsrCwWLFhQaDE8Lzs7mwULFlzQpFocXbp0Yd68ea6Oj+eNHTuWfv36kZiYSL9+/RgzZkyZ3FdWFLkgOp1Ohg4dysCBAxk9evQF/yur7HbI9s/vVBMWNQhb89tIy8bV0SbszsexNe+kTjUi4lFr1qwp9hSXJpPpsle8aNeunWty7/POnDnDnj17iI6OBiA6Opo9e/aQnJxcpvaVJUXuVNOgQQMef/zx0sxSKvLsYPiH49f4Jlfhs9vze5/6XXOziqGIeNyGDRuK/bSXlZXFV199Ra9evTySISkpiVq1arneS1osFmrWrElSUhKGYZSZfWFhYR7583pCoQVxxYoVREdH89xzz3kjT6mw2/ObTy/cZly0TUTEE86vPFFc6enFX8xYPKfQgjhmzBjXY66IiBQuJKT4s9kABAcHeyxDnTp1OHHiBA6HA4vFgsPh4OTJk9SpUwfDMMrMvrKk0HeIFWAxDBERr+rUqVOxB9wHBgbSuXNnj2UIDw8nIiKCFStWAPmtfREREYSFhZWpfWVJoXOZtm7dmrffftttYezYsaPHgxWHln/yHuVxT3ncqwh5ijKXaVZWFv/zP/9T5F6mkL/qxbp16wgICChWHoCJEyeydu1aTp8+TfXq1QkNDWXlypUcOHCAUaNGkZqaStWqVYmNjaVRo0YAZWpfWVFoQYyIiKBu3boFFkSTycTnn39eKuGKSgXRe5THPeVxryLkKerk3m+++WaRh14EBATwwAMP8MwzzxQri3hWoe8QAwMDS1zwUlJSGDFiBL/99hs2m40GDRowYcIEzp07x5gxYzh16hRWq5VWrVoxduzYy/oXkohIWTJkyBAOHjxY6OD8gIAA2rVrx5AhQ7yYTi6lyOMQS8JkMvHEE0+QmJjI8uXLqV+/PtOnT8fPz4/Ro0ezZs0aPv30U7Kysnjvvfe8EUlEpFRZLBbXXKUBAQEXvVMMDAx0PRlq2rayodAnRE90qgkNDaVDhw6uz23atHGtrXie2Wzmuuuu48CBAyW+nohIWWCxWHjmmWcYNGgQiYmJfPXVV6SnpxMcHEznzp2JiorSahdlSKEF8bvvvvPoBZ1OJ/PnzycyMvKC7dnZ2SxatIjnn3/eo9cTEfG1wMBAevXqRXR0NNnZ2QQGBuqJsAwqtFONp40fP54TJ04wa9Ys13JSdrudYcOGUbduXV5++WVvxhERKVW5ubmsW7eODz74gIMHD7rG4TVq1IhHHnmErl27lruFEyoqrxbE2NhY9u3bR3x8vOsGOL9ESkBAAJMnTy72/H+gXqbepDzuKY97FSFPUXuZAuzatYtnnnkGu91OZmbmRfuDgoKwWq3MnDmTa6+9tlg5xPO80qkGYMaMGezatYu4uDhXMXQ6nYwaNQqLxcKkSZMuqxiKiJRFu3fv5m9/+xupqamXLIYAmZmZpKam8tRTT7F79+7LvlZByz9FRkZy11130bNnT3r27MnXX3/t2vf9999zzz33EBUVxWOPPcaZM2d8tq+s8EpB3L9/P/Hx8Zw8eZKYmBh69uzJkCFD2LBhA59++ik///wz9957Lz179mT8+PHeiCQiUmpyc3MZNmxYsZZ/GjZsGLm5uZd1vYKWf4L88ZDLli1j2bJl3HbbbUB+Z8kXX3yRMWPGkJiYSLt27Zg+fbpP9pUlRV7toiSaNGnCvn37LrmvoO0iIuXVunXrsNvtxfqO3W7n888/p1u3bsW+Xrt27Yp1/M6dO/H393d9LyYmhi5dujB58mSv7ytLvNZkKiJSWXzwwQcFNpMWJDMzkzlz5ng8y/Dhw+nRowfjxo0jNTUVyF8aqm7duq5jwsLCcDqdnD171uv7yhIVRBERD3I4HBw8ePCyvnvw4EEcDofHssybN49PP/2URYsWYRgGEyZM8Ni5KyIVRBERD8rKyrrsMYYWi6XYCwu7c355JZvNRr9+/dixY4dr+7Fjx1zHJScnYzKZCA0N9fq+skQFUUTEgwIDAy/7Kc/hcHhs5prMzEzXQsWGYbBq1SoiIiIAaNmyJdnZ2Wzfvh2AhIQE17tLb+8rS7zSqUZEpLKwWCw0atTosqahbNSo0WU9Xf55+adHH32U0NBQ4uPjGTZsGA6HA6fTSePGjRk7diyQP1Xm1KlTGTt2LDk5OVx55ZVMmzbNJ/vKEq/PVFMaNDDfe5THPeVxryLkKcrA/FWrVjFlypRidawJCgpi9OjRZfLJqbJQk6mIiId17doVq7V4DXBWq5UuXbqUUiIpChVEEREPs9lszJw5s8hruwYEBDBz5kzNaepjKogiIqXg2muv5e2336Zq1aoEBQVd8pigoCCqVq3K22+/rblMywB1qhERKSXXXnsta9as4fPPP2fOnDkXrXYxcOBAunTpoifDMkIFUUSkFNlsNrp160a3bt1wOBxkZWVpPcQySgVRRMRLLBYLwcHBvo4hBdA7RBEREVQQRUREADWZioiUe5GRkdhsNmw2G06nk6effpq777671K43c+ZMPvroI2rWrOna1qdPHwYMGMCoUaNo2bIl/fv3v6xzb9u2jby8PG699VYATpw4wfDhw/n3v//tkezuqCCKiFQAb775Jk2bNmXPnj3ExMTQsWNHwsLCXPsdDodHO/L06tWLkSNHeux8533zzTdkZma6CmKtWrW8UgxBBVFEpEJp0aIFVapUYfHixWzZsoWwsDAOHDjApEmTCA8PZ+LEiRw7doycnBzuvvtu/va3v+F0OpkwYQJbt27FZrMRFBREQkJCibPk5uYyY8YMvv32W/Ly8mjatCnjxo2jSpUqpKWl8eqrr7Jr1y5MJhPt2rXjwQcfJCEhAafTyebNm7n77rvp3r07ffr0Ydu2bQBs2LCB119/HYfDQVhYGBMmTKBBgwZs27aNV199ldatW/Pdd99hMpmYMWMGjRs3LnJeFUQRkQpk69at5OTkYLVa2bFjB8uWLeOqq64C4NFHH2Xw4MG0b9+e3NxcBg4cSKtWrahevTpbtmxh9erVmM1mzp07V+h1li5dyubNm12fn3/+eTp37nzBMe+++y4hISF88sknAEybNo133nmHv//977z66qsEBQWxbNkyzGYzycnJhIWFERMTQ2Zmpuvp8+jRo67znTlzhhEjRvDhhx9yzTXXsHDhQoYPH87ChQsB+OWXX5g8eTITJkzgrbfeYvbs2bz22mtF/tmpIIqIVADPPPMM/v7+BAcHM3PmTE6cOMENN9zgKoaZmZl88803JCcnu76TkZHBgQMH6N27Nw6Hg5deeokOHTpwxx13FHq9ojSZrl+/nvT0dBITE4H8J8bmzZsD8MUXX7B48WLM5vy+nX9u3i3IDz/8QPPmzbnmmmuA/PeW48ePJz09HYCrr76aFi1aANCmTRu++OKLQs/5ZyqIIiIVwPl3iOctXryYKlWquD47nU5MJhOffPIJfn5+F31/5cqVbNu2jS1btjB9+nSWLFlCjRo1SpTJMAzGjh1Lx44dS3SeP5/PZDIVuP/PM/6YzWbsdnuxzq9hFyIilUBwcDBt27blnXfecW1LSkri1KlTJCcnk52dTadOnRg+fDghISEcOXKkxNeMjIxkzpw5ZGdnA5Cenu5aJ/KOO+7gvffe4/wKhOefXIODg10LG//V9ddfz969e13nWLJkCS1atPDYZAd6QhQRqSSmT5/O5MmT6dGjBwBVqlRh0qRJZGdn8/LLL2O323E4HHTq1Ik2bdq4Pddf3yFGRkby7LPPXnDMk08+yaxZs7jvvvswmUyYTCaGDh1K48aNGT16NK+++irR0dFYLBZuvPFG/vGPf9C1a1eWLVtGz549XZ1qzgsLC2Pq1KkMHz4cu91OWFiYRxca1gLBf1ERFjAtTcrjnvK4VxHyFGWBYCmf1GQqIiKCmkxFROQS9u7dy6hRoy7a3r9/f+6//34fJCp9KogiInKRiIgIli1b5usYXqUmUxEREVQQRUREABVEERERQO8QRUTKvby8PGbPns2qVauwWq04nU46d+5Mo0aN2LhxI2+++SY7d+5kzpw5hc7tmZqayscff8ygQYO8lL7sUEEUESnnRo8eTU5ODosWLSI4OJi8vDwWL15Mbm6u65hWrVoVaaLr1NRU3n333UpZENVkKiLiBatXryY6Opr27dsTHR3N6tWrPXLeQ4cOsW7dOiZOnOiawszPz48HH3yQoKAg13Hbtm3j3nvvBfJXkOjQoQMzZsygV69eREVFsX37dgAmTJhAWloaPXv2JCYmBoDDhw/zyCOP0KNHD3r37s2GDRtc523WrBnx8fH06dOHLl26uCbyLo9UEEVEStnq1auZNGkSx48fxzAMjh8/zqRJkzxSFPfs2UODBg2oVq1asb539uxZ2rRpw9KlSxkyZAjTp08HYMyYMYSEhLBs2TLXmojDhw8nOjqa5cuXM23aNF588cULVs0IDg5m0aJFTJ06lYkTJ5b4z+QrXimIKSkpDBo0iKioKHr06MHQoUNdP8zvv/+ee+65h6ioKB577DHOnDnjjUgiIl4TFxfnmuD6vOzsbOLi4nyUCIKCglzLPLVp06bAybzT09PZu3cvffr0AeCaa64hIiKC77//3nXM+flG27Rpw8mTJ8nJySnl9KXDKwXRZDLxxBNPkJiYyPLly6lfvz7Tp0/HMAxefPFFxowZQ2JiIu3atXP9K0VEpKI4ceJEsbYXR4sWLTh8+HCRFvX9s5IulfTnZZj8/f0BsFgsAMU+V1nhlYIYGhpKhw4dXJ/btGnDsWPH2LlzJ/7+/rRr1w6AmJgY1qxZ441IIiJeU6tWrWJtL46GDRsSGRnJmDFjXAvlOhwOPvjgAzIzM4t9vuDgYLKzs11FLTg4mIiICJYsWQLAgQMH+Omnn2jdunWJs5c1Xu9l6nQ6mT9/PpGRkSQlJVG3bl3XvrCwMJxOJ2fPniU0NLTI5wwP98xaWOeVtdnslcc95XFPedzzRp4hQ4a4llk6LyAggCFDhnjk/FOmTCEuLo4+ffrg5+fnGnZx9dVXF/tcoaGh9OjRgx49elCtWjUSEhKYPn06Y8aMYc6cOVitVqZOnVqkFe7LG68v/zR+/HhOnDjBrFmz+Oyzz1i0aNEFC1a2bt2ar776qlgFUcs/eY/yuKc87lWEPJdbQFevXk1cXBwnTpygVq1aDBkyhG7dul3WuaR0ePUJMTY2lsOHDxMfH4/ZbKZOnTocO3bMtT85ORmTyVSsYigiUh5069ZNBbCM89qwixkzZrBr1y7i4uJcL3NbtmxJdna2a/xLQkKCbhgREfEJrzwh7t+/n/j4eBo2bOga6FmvXj3i4uKYOnUqY8eOJScnhyuvvJJp06Z5I5IUwGw2YRgG3m1IFxHxPa8UxCZNmrBv375L7rvhhhtYvny5N2JIAaxWM/5kY7Zn4UhNwRxQBVNgNbIJIC/P6et4IiJeoblMKzmbxYkt8zinV84m79Rvru2W4FBCb3+YKle1JsOu20REKj5N3VaJWa1mbFknSZr7jwuKIYAj/SxnVswkd/9mAqx6ShSRik8FsRILIJszq+PBWfCsEinr/42/Kc+LqUREfENtYZWY2ZFD7olDbo8xHHlkHd6J9aoO2O0O7wQTkSK7//77yc3NJS8vj0OHDtGkSRMgf0q3yZMn+zhd+aKCWEmZTCbsGWeLdGze6aP4NbyplBOJVFx5eXk8//zzQP547JEjRwLw+uuv4+fnV6JzL1y4EMhf0qlPnz4sW7bsksc5HA7XXKNyaWoyraQMw8ASUKVIx1qCq+PlCY1EKpTnn3+eHTt2sGPHDrp37+767/NFsjRs3ryZe++9l/Hjx/PAAw+wceNG+vbte8Fahn/+3LdvX2JjY+nbty+dO3dmzpw5LFu2jAcffJDIyEjWrl0L5E/c3axZM2bNmkVMTAx33XUX69atK7U/hzepIFZm/sFYql5RyEEmgpq0Jy9PzaUiJZWTk0N6errXlkfau3cvvXv3ZsGCBXTu3LnQ40+ePMm8efP4+OOPmTFjBocOHeLjjz9m+vTpTJky5YJjrVYrCQkJzJo1i5deeumC9RHLKxXESiybAMK6POL2mODWkdhNNrfHiIh7sbGxFzWN+vn5MXXq1FK9buPGjbnuuuuKfHy3bt0wm83Url2bkJAQ7rzzTiB/VrHff/+dvLw/Otjdd999QP76iE2bNmXnzp2eDe8DKoiVWF6eE3OdFoR3fxqTn/+FO01mgtt0peptfcnUOESREhk5cuQFxQTy3yuOGDGiVK8bFBR0wWer1XrB64+/Pqn+dY3E85/N5vxS4XRW7CFY+k1XyWXaLfg3vJG6T11PzpE95J0+iqVKKIHXtCUPG2m5egkv4in+/v74+fldVBy9pX79+uzcuZPOnTuzb98+fv7558s+1+LFi3nyySc5cOAAP//8M61atfJgUt9QQRRy7CZysGG98gas9dtiGJCqd4YiHvP6668X2MvUm5566imee+45vvjiC5o3b07z5s0v+1wWi4WYmBjOnj3LpEmTKsT6iF5fD7E0aD1E71Ee95THvYqQp6wtcOxtdruda6+9lh9//BF/f//Cv1CO6B2iiIgIajIVEZFisFqtBa5eVN7pCVFERAQVRBEREUAFUUREBFBBFBERAVQQRUREABVEERERQAVRREQEUEEUEREBVBBFREQAFUQRERFABVFERARQQRQREQFUEEVERAAVRBEREUAFUUREBFBBFBERAVQQRUREABVEERERwEsFMTY2lsjISJo1a8bPP//s2v7FF1/Qq1cvevbsSY8ePVi7dq034oiIiFzE6o2LdOnShQEDBvDQQw+5thmGwYgRI5g3bx5Nmzblp59+om/fvnTt2hWzWQ+uIiLiXV4piO3atbvkdrPZTFpaGgBpaWnUrFlTxVBERHzCKwXxUkwmE2+88QaDBw8mKCiIjIwM3n77bV/FERGRSs5nBdFut/P2228ze/Zs2rZty3/+8x/+/ve/s3LlSqpUqVKsc4WHB3s0W40aIR49X0kpj3vK457yuFfW8ojv+Kwg7t27l5MnT9K2bVsA2rZtS2BgIAcOHOC6664r1rnOnEnH6TQ8kqtGjRBOnUrzyLk8QXncUx73lMe9y8mjAlpx+eyFXe3atTl+/DgHDx4E4MCBA5w+fZqrrrrKV5FERKQS88oT4sSJE1m7di2nT5/m0UcfJTQ0lJUrVzJu3DieffZZTCYTAJMnTyY0NNQbkURERC5gMgzDM22NPuTLJlM/PzN+zmxMGDjMfuQ6LB7Lcjl5SpvyuKc87lWEPGoyrbh89g6xvLNYzARbssnc/y0pP3yOkZuNrVZDqt7UC2dgGJl2/WhFRMoT/da+DBaLmSDnWZLmvowj45xre17yMTL2biak/d0Ed7iX9FyLD1OKiEhxaBT8ZQgyZ3My4ZULiuGfpX27Evvve7BaVRBFRMoLFcRislhMOM4mYT93yu1xZzcuIIAsL6USEZGSUkEsJqvVQta+bYUel3fqCGYcXkgkIiKeoIIoIiKCCmKx2e0OApveWOhxflfUx4neIYqIlBcqiMXkcBhYqtfFUvUKt8eF3no/2QR6KZWIiJSUCuJlyHT6UyvmZcxBVS+5P6RtN6z1rsVu1ztEEZHyQuMQL4PDYZBpCaXuY9PJ3LeV9B8+x5mXg61mA6p17I1R5QqNQRQRKWdUEC+Tw2FwzmHDr8ntVL/mJkwYOM1+ZDosOPPK/Wx4IiKVjgpiCeXZneRhy//gAFAxFBEpj/QOUUREBBVEERERQAVRREQEUEEUEREBVBBFRESACtLL1Gw2lenzlZTyuKc87imPe2Utj/iOyTAMjRMQEZFKT02mIiIiqCCKiIgAKogiIiKACqKIiAiggigiIgKoIIqIiAAqiCIiIoAKooiICKCCKCIiAlSQqdsuR2xsLImJifz+++8sX76cpk2bAvDrr78yatQozp49S2hoKLGxsTRs2NBneSIjI7HZbPj7+wMwfPhwbrvttlLPk5KSwogRI/jtt9+w2Ww0aNCACRMmEBYWxvfff8+YMWPIycnhyiuvZNq0aYSHh/ssT7NmzWjatClmc/6/76ZOnUqzZs1KNQ/A4MGDOXr0KGazmaCgIF5++WUiIiJ8dg8VlMdX9xDArFmzmDlzpuue9sW94y6Pr+4dKaOMSurbb781jh07Ztxxxx3Gvn37XNsffvhhY+nSpYZhGMbSpUuNhx9+2Kd5/vrZW1JSUoytW7e6Pk+ZMsUYPXq04XQ6ja5duxrffvutYRiGERcXZ4waNcpneQzDMJo2bWqkp6eXeoa/Sk1Ndf33Z599ZvTq1cswDN/dQwXl8dU9tGvXLuPxxx83br/9dmPfvn0+u3cKymMYvrt3pGyqtE2m7dq1o06dOhdsO3PmDHv27CE6OhqA6Oho9uzZQ3Jysk/y+FJoaCgdOnRwfW7Tpg3Hjh1j586d+Pv7065dOwBiYmJYs2aNz/L4UkhIiOu/09PTMZlMPr2HLpXHV3Jzc5kwYQJjx4515fDVvVNQHpG/qrRNppeSlJRErVq1sFgsAFgsFmrWrB/g10AAAAYfSURBVElSUhJhYWE+yzV8+HAMw6Bt27Y8//zzVK1a1avXdzqdzJ8/n8jISJKSkqhbt65rX1hYGE6n09U86O085z388MM4HA46derEsGHDsNlsXsny0ksvsWnTJgzD4N133/X5PfTXPOd5+x765z//yT333EP9+vVd23x571wqz3m+unek7Km0T4jlxbx58/j0009ZtGgRhmEwYcIEr2d45ZVXCAoKon///l6/9qX8Nc+XX37J4sWLmTdvHr/88gtxcXFeyzJp0iS+/PJL/v73vzN16lSvXbc4ebx9D3333Xfs3LmTfv36lep1ispdHl/eO1L2qCD+SZ06dThx4gQOhwMAh8PByZMnfdqUef7aNpuNfv36sWPHDq9ePzY2lsOHD/PGG29gNpupU6fOBU2VycnJmEwmrz0d/jUP/PEzCg4O5v777/f6zwigV69ebNu2jdq1a5eJe+h8npSUFK/fQ99++y0HDx6kS5cuREZGcvz4cR5//HEOHz7sk3unoDwbN24sE/eOlB0qiH8SHh5OREQEK1asAGDFihVERET4rLk0MzOTtLQ0AAzDYNWqVURERHjt+jNmzGDXrl3ExcW5mpFatmxJdnY227dvByAhIYFu3br5LM+5c+fIzs4GwG63k5iY6JWfUUZGBklJSa7P69evp1q1aj67hwrK4+/v7/V76Mknn2Tjxo2sX7+e9evXU7t2bd577z2eeOIJn9w7BeVp1aqVT+4dKbsq7QLBEydOZO3a/2/v/kKTXuM4jr+tDNnCbIwgEJG0FSwQYRcDdzGFaNAf8s6bRhd5szlcEKu5LWk3bbsJCsF7CYqgUdCoA1100yCY3UZOkLHFBhJl6dCp6yLmOTvnROdGbZ7P69Ln58P3gQc+PI+Pz+8PstksR44cwWKx8Pz5c9LpNDdv3iSXy2E2m5mdneX48eNNqScejzMyMkKlUqFareJwOJicnOTo0aN1ryeVSnH+/HnsdjsmkwkAq9VKLBYjmUwSjUZ3HZ3v7OxsSj1Xr17l1q1bGAwGyuUybrebSCRCe3t7XevJZrMMDQ2xubnJvn37OHz4MDdu3KC7u7spc+hn9ZjN5qbNoR0+n494PE5XV1dT5s7P6snn802ZO/L7+t8GooiIyF9py1RERAQFooiICKBAFBERARSIIiIigAJRREQEUCCKiIgACkTZ40qlEpFIBK/Xi9vt5tKlS7x+/brWvri4yMDAAC6Xi8uXL7O2tlZrW1hYIBAI1Nr+rlKpcPfuXfr6+mp953K5hoxLRBpPgSh7Wrlc5tixYyQSCZaWlgiHw4yOjrK6usqnT58IhUKEw2Hevn3L6dOnuXbtWu27FouFwcFBgsHgv/Z979493r17x6NHj0gmk8zNzdXeKSgirUd/zJeWc+HCBUKhEJ8/f2Z+fp6HDx8CP67C6+3tZX5+HofDUXv+8ePHPHv2jEQiUfvsy5cv9Pf38/TpU2w2W8PHICKNpxWitJRsNksmk8HpdJJKpXa9/bytrQ2bzcby8vIv+/nw4QP79+/nxYsXeDwezp49y4MHD+pZuog0md6HKC1ja2uL69ev4/f7cTgcFAqFf1yqfejQIfL5/C/7Wl9f5+vXr2QyGV69ekUmk+HKlSvY7XY8Hk+9hiAiTaQVorSEarXK2NgYRqORqakp4MeK8Nu3b7uey+fz/+ny5p0LxIeHhzGZTJw6dYpz587tOrAjIq1FgSh73vb2NhMTE2SzWe7fv4/RaATgxIkTvH//vvZcoVBgZWUFp9P5yz53tloNBkN9ihaR344CUfa8aDRKOp0mHo/XVnYAZ86cIZVK8fLlS4rFIrFYjJMnT9YO1FQqFYrFIuVymWq1SrFYZGtrCwCbzUZPTw/xeJxSqUQ6nWZhYQGv19uUMYpI/emUqexpa2tr+Hw+Dh48yIEDf/4kfvv2bS5evMibN2+Ynp7m48ePuFwu7ty5g9VqBeDJkyeMj4/v6s/v9zMzMwPAxsYGkUiEZDJJR0cHwWCQQCDQuMGJSEMpEEVERNCWqYiICKBAFBERARSIIiIigAJRREQEUCCKiIgACkQRERFAgSgiIgIoEEVERAAFooiICADfASfFaPLoGlyOAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f453a17e4e0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.relplot(x='2016', y='Travel_Time', size='Population', hue='Twin_Cities',\n",
+    "            sizes=(100, 200), style='Pres_Election', data=df, legend='brief')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>County</th>\n",
+       "      <th>Twin_Cities</th>\n",
+       "      <th>Pres_Election</th>\n",
+       "      <th>Public_Transport(%)</th>\n",
+       "      <th>Travel_Time</th>\n",
+       "      <th>Population</th>\n",
+       "      <th>Year</th>\n",
+       "      <th>Fatalities</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>23.2</td>\n",
+       "      <td>1237604</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Dakota</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>418432</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Anoka</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Trump</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>28.2</td>\n",
+       "      <td>348652</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>St. Louis</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>19.5</td>\n",
+       "      <td>199744</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Ramsey</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>6.4</td>\n",
+       "      <td>23.6</td>\n",
+       "      <td>540653</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Washington</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>25.8</td>\n",
+       "      <td>253128</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Olmsted</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Clinton</td>\n",
+       "      <td>5.2</td>\n",
+       "      <td>17.5</td>\n",
+       "      <td>153039</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Cass</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Trump</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>23.3</td>\n",
+       "      <td>28895</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Pine</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Trump</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>30.3</td>\n",
+       "      <td>28879</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Becker</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Trump</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>22.7</td>\n",
+       "      <td>33766</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       County Twin_Cities Pres_Election  Public_Transport(%)  Travel_Time  \\\n",
+       "0    Hennepin         Yes       Clinton                  7.2         23.2   \n",
+       "1      Dakota         Yes       Clinton                  3.3         24.0   \n",
+       "2       Anoka         Yes         Trump                  3.4         28.2   \n",
+       "3   St. Louis          No       Clinton                  2.4         19.5   \n",
+       "4      Ramsey         Yes       Clinton                  6.4         23.6   \n",
+       "5  Washington         Yes       Clinton                  2.3         25.8   \n",
+       "6     Olmsted          No       Clinton                  5.2         17.5   \n",
+       "7        Cass          No         Trump                  0.9         23.3   \n",
+       "8        Pine          No         Trump                  0.8         30.3   \n",
+       "9      Becker          No         Trump                  0.5         22.7   \n",
+       "\n",
+       "   Population  Year  Fatalities  \n",
+       "0     1237604  2016          45  \n",
+       "1      418432  2016          28  \n",
+       "2      348652  2016          20  \n",
+       "3      199744  2016          19  \n",
+       "4      540653  2016          15  \n",
+       "5      253128  2016          13  \n",
+       "6      153039  2016          12  \n",
+       "7       28895  2016          10  \n",
+       "8       28879  2016          10  \n",
+       "9       33766  2016           9  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Here's how to review 2016 only data\n",
+    "df_melted.query(\"Year == '2016'\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f4539fe17b8>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f4539fe1748>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.relplot(x='Fatalities', y='Travel_Time', size='Population', hue='Twin_Cities',\n",
+    "            sizes=(100, 200), data=df_melted.query(\"Year == '2016'\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can split the data into two columns with the col keyword"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f4539fc1588>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f453a114198>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.relplot(x='Fatalities', y='Travel_Time', size='Population', hue='Twin_Cities',\n",
+    "            sizes=(100, 200), col='Pres_Election', data=df_melted.query(\"Year == '2016'\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can use kind='line' to create line plots on the FacetGrid"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f4539f85208>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f4539e8cd68>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.relplot(x='Year', y='Fatalities', data=df_melted, kind='line', hue='Twin_Cities', col='Pres_Election')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This example has rows and columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f4539dba6d8>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f4539dba2e8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.relplot(x='Year', y='Fatalities', data=df_melted, kind='line', size='Population',\n",
+    "            row='Twin_Cities', col='Pres_Election')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "factorplot is deprecated and replaced with catplot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/chris/miniconda3/envs/pbp3/lib/python3.6/site-packages/seaborn/categorical.py:3666: UserWarning: The `factorplot` function has been renamed to `catplot`. The original name will be removed in a future release. Please update your code. Note that the default `kind` in `factorplot` (`'point'`) has changed `'strip'` in `catplot`.\n",
+      "  warnings.warn(msg)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f4539d0c6d8>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f4539c80b38>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.factorplot(x='Fatalities', y='County', data=df_melted)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here's how to use the category plot to replicate the factorplot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f45399c8c50>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f45399c8780>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.catplot(x='Fatalities', y='County', data=df_melted, kind='point')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Try a boxplot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f453993b2b0>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f453993b6d8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.catplot(x='Year', y='Fatalities', kind='box', data=df_melted)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A default catplot with two columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f4539934668>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f45398c95c0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.catplot(x='Year', y='Fatalities', data=df_melted, col='Twin_Cities')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Change colors with hue"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f45384ff780>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f45384f4be0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.catplot(y='County', x='Fatalities', data=df_melted, col='Twin_Cities', hue='Year')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Use a catplot with the newly named boxen plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f453849f438>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f453850dcc0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.catplot(x='Year', y='Fatalities', data=df_melted, col='Twin_Cities', kind='boxen')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f4538515390>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Here's a little easter egg\n",
+    "sns.dogplot()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/Selecting_Columns_in_DataFrame.ipynb b/notebooks/Selecting_Columns_in_DataFrame.ipynb
new file mode 100644
index 0000000..4a3f037
--- /dev/null
+++ b/notebooks/Selecting_Columns_in_DataFrame.ipynb
@@ -0,0 +1,1419 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Tips for Selecting Columns in a DataFrame\n",
+    "\n",
+    "Notebook to accompany this [post](https://pbpython.com/selecting-columns.html).\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\n",
+    "    'https://data.cityofnewyork.us/api/views/vfnx-vebw/rows.csv?accessType=DOWNLOAD&bom=true&format=true'\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Build a mapping list so we can see the index of all the columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "col_mapping = [f\"{c[0]}:{c[1]}\" for c in enumerate(df.columns)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['0:X',\n",
+       " '1:Y',\n",
+       " '2:Unique Squirrel ID',\n",
+       " '3:Hectare',\n",
+       " '4:Shift',\n",
+       " '5:Date',\n",
+       " '6:Hectare Squirrel Number',\n",
+       " '7:Age',\n",
+       " '8:Primary Fur Color',\n",
+       " '9:Highlight Fur Color',\n",
+       " '10:Combination of Primary and Highlight Color',\n",
+       " '11:Color notes',\n",
+       " '12:Location',\n",
+       " '13:Above Ground Sighter Measurement',\n",
+       " '14:Specific Location',\n",
+       " '15:Running',\n",
+       " '16:Chasing',\n",
+       " '17:Climbing',\n",
+       " '18:Eating',\n",
+       " '19:Foraging',\n",
+       " '20:Other Activities',\n",
+       " '21:Kuks',\n",
+       " '22:Quaas',\n",
+       " '23:Moans',\n",
+       " '24:Tail flags',\n",
+       " '25:Tail twitches',\n",
+       " '26:Approaches',\n",
+       " '27:Indifferent',\n",
+       " '28:Runs from',\n",
+       " '29:Other Interactions',\n",
+       " '30:Lat/Long',\n",
+       " '31:Zip Codes',\n",
+       " '32:Community Districts',\n",
+       " '33:Borough Boundaries',\n",
+       " '34:City Council Districts',\n",
+       " '35:Police Precincts']"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "col_mapping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also build a dictionary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "col_mapping_dict = {c[0]:c[1] for c in enumerate(df.columns)}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0: 'X',\n",
+       " 1: 'Y',\n",
+       " 2: 'Unique Squirrel ID',\n",
+       " 3: 'Hectare',\n",
+       " 4: 'Shift',\n",
+       " 5: 'Date',\n",
+       " 6: 'Hectare Squirrel Number',\n",
+       " 7: 'Age',\n",
+       " 8: 'Primary Fur Color',\n",
+       " 9: 'Highlight Fur Color',\n",
+       " 10: 'Combination of Primary and Highlight Color',\n",
+       " 11: 'Color notes',\n",
+       " 12: 'Location',\n",
+       " 13: 'Above Ground Sighter Measurement',\n",
+       " 14: 'Specific Location',\n",
+       " 15: 'Running',\n",
+       " 16: 'Chasing',\n",
+       " 17: 'Climbing',\n",
+       " 18: 'Eating',\n",
+       " 19: 'Foraging',\n",
+       " 20: 'Other Activities',\n",
+       " 21: 'Kuks',\n",
+       " 22: 'Quaas',\n",
+       " 23: 'Moans',\n",
+       " 24: 'Tail flags',\n",
+       " 25: 'Tail twitches',\n",
+       " 26: 'Approaches',\n",
+       " 27: 'Indifferent',\n",
+       " 28: 'Runs from',\n",
+       " 29: 'Other Interactions',\n",
+       " 30: 'Lat/Long',\n",
+       " 31: 'Zip Codes',\n",
+       " 32: 'Community Districts',\n",
+       " 33: 'Borough Boundaries',\n",
+       " 34: 'City Council Districts',\n",
+       " 35: 'Police Precincts'}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "col_mapping_dict"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Use iloc to select just the second column (Unique Squirrel ID)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       37F-PM-1014-03\n",
+       "1       37E-PM-1006-03\n",
+       "2        2E-AM-1010-03\n",
+       "3        5D-PM-1018-05\n",
+       "4       39B-AM-1018-01\n",
+       "             ...      \n",
+       "3018    30B-AM-1007-04\n",
+       "3019    19A-PM-1013-05\n",
+       "3020    22D-PM-1012-07\n",
+       "3021    29B-PM-1010-02\n",
+       "3022     5E-PM-1012-01\n",
+       "Name: Unique Squirrel ID, Length: 3023, dtype: object"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[:, 2]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Pass a list of integers to select multiple columns by index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>X</th>\n",
+       "      <th>Y</th>\n",
+       "      <th>Unique Squirrel ID</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>-73.956134</td>\n",
+       "      <td>40.794082</td>\n",
+       "      <td>37F-PM-1014-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>-73.957044</td>\n",
+       "      <td>40.794851</td>\n",
+       "      <td>37E-PM-1006-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>-73.976831</td>\n",
+       "      <td>40.766718</td>\n",
+       "      <td>2E-AM-1010-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>-73.975725</td>\n",
+       "      <td>40.769703</td>\n",
+       "      <td>5D-PM-1018-05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>-73.959313</td>\n",
+       "      <td>40.797533</td>\n",
+       "      <td>39B-AM-1018-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3018</td>\n",
+       "      <td>-73.963943</td>\n",
+       "      <td>40.790868</td>\n",
+       "      <td>30B-AM-1007-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3019</td>\n",
+       "      <td>-73.970402</td>\n",
+       "      <td>40.782560</td>\n",
+       "      <td>19A-PM-1013-05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3020</td>\n",
+       "      <td>-73.966587</td>\n",
+       "      <td>40.783678</td>\n",
+       "      <td>22D-PM-1012-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3021</td>\n",
+       "      <td>-73.963994</td>\n",
+       "      <td>40.789915</td>\n",
+       "      <td>29B-PM-1010-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3022</td>\n",
+       "      <td>-73.975479</td>\n",
+       "      <td>40.769640</td>\n",
+       "      <td>5E-PM-1012-01</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3023 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              X          Y Unique Squirrel ID\n",
+       "0    -73.956134  40.794082     37F-PM-1014-03\n",
+       "1    -73.957044  40.794851     37E-PM-1006-03\n",
+       "2    -73.976831  40.766718      2E-AM-1010-03\n",
+       "3    -73.975725  40.769703      5D-PM-1018-05\n",
+       "4    -73.959313  40.797533     39B-AM-1018-01\n",
+       "...         ...        ...                ...\n",
+       "3018 -73.963943  40.790868     30B-AM-1007-04\n",
+       "3019 -73.970402  40.782560     19A-PM-1013-05\n",
+       "3020 -73.966587  40.783678     22D-PM-1012-07\n",
+       "3021 -73.963994  40.789915     29B-PM-1010-02\n",
+       "3022 -73.975479  40.769640      5E-PM-1012-01\n",
+       "\n",
+       "[3023 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[:, [0,1,2]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also pass a slice object to select a range of columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>X</th>\n",
+       "      <th>Y</th>\n",
+       "      <th>Unique Squirrel ID</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>-73.956134</td>\n",
+       "      <td>40.794082</td>\n",
+       "      <td>37F-PM-1014-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>-73.957044</td>\n",
+       "      <td>40.794851</td>\n",
+       "      <td>37E-PM-1006-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>-73.976831</td>\n",
+       "      <td>40.766718</td>\n",
+       "      <td>2E-AM-1010-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>-73.975725</td>\n",
+       "      <td>40.769703</td>\n",
+       "      <td>5D-PM-1018-05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>-73.959313</td>\n",
+       "      <td>40.797533</td>\n",
+       "      <td>39B-AM-1018-01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3018</td>\n",
+       "      <td>-73.963943</td>\n",
+       "      <td>40.790868</td>\n",
+       "      <td>30B-AM-1007-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3019</td>\n",
+       "      <td>-73.970402</td>\n",
+       "      <td>40.782560</td>\n",
+       "      <td>19A-PM-1013-05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3020</td>\n",
+       "      <td>-73.966587</td>\n",
+       "      <td>40.783678</td>\n",
+       "      <td>22D-PM-1012-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3021</td>\n",
+       "      <td>-73.963994</td>\n",
+       "      <td>40.789915</td>\n",
+       "      <td>29B-PM-1010-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3022</td>\n",
+       "      <td>-73.975479</td>\n",
+       "      <td>40.769640</td>\n",
+       "      <td>5E-PM-1012-01</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3023 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              X          Y Unique Squirrel ID\n",
+       "0    -73.956134  40.794082     37F-PM-1014-03\n",
+       "1    -73.957044  40.794851     37E-PM-1006-03\n",
+       "2    -73.976831  40.766718      2E-AM-1010-03\n",
+       "3    -73.975725  40.769703      5D-PM-1018-05\n",
+       "4    -73.959313  40.797533     39B-AM-1018-01\n",
+       "...         ...        ...                ...\n",
+       "3018 -73.963943  40.790868     30B-AM-1007-04\n",
+       "3019 -73.970402  40.782560     19A-PM-1013-05\n",
+       "3020 -73.966587  40.783678     22D-PM-1012-07\n",
+       "3021 -73.963994  40.789915     29B-PM-1010-02\n",
+       "3022 -73.975479  40.769640      5E-PM-1012-01\n",
+       "\n",
+       "[3023 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[:, 0:3]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If we want to combine the list and slice notation, we need to use nump.r_ to process the data into an appropriate format."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 0,  1,  2, 15, 16, 17, 18, 24, 25])"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.r_[0:3,15:19,24,25]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can pass the output of np.r_ to .iloc to use multiple selection approaches"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>X</th>\n",
+       "      <th>Y</th>\n",
+       "      <th>Unique Squirrel ID</th>\n",
+       "      <th>Running</th>\n",
+       "      <th>Chasing</th>\n",
+       "      <th>Climbing</th>\n",
+       "      <th>Eating</th>\n",
+       "      <th>Tail flags</th>\n",
+       "      <th>Tail twitches</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>-73.956134</td>\n",
+       "      <td>40.794082</td>\n",
+       "      <td>37F-PM-1014-03</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>-73.957044</td>\n",
+       "      <td>40.794851</td>\n",
+       "      <td>37E-PM-1006-03</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>-73.976831</td>\n",
+       "      <td>40.766718</td>\n",
+       "      <td>2E-AM-1010-03</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>-73.975725</td>\n",
+       "      <td>40.769703</td>\n",
+       "      <td>5D-PM-1018-05</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>-73.959313</td>\n",
+       "      <td>40.797533</td>\n",
+       "      <td>39B-AM-1018-01</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3018</td>\n",
+       "      <td>-73.963943</td>\n",
+       "      <td>40.790868</td>\n",
+       "      <td>30B-AM-1007-04</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3019</td>\n",
+       "      <td>-73.970402</td>\n",
+       "      <td>40.782560</td>\n",
+       "      <td>19A-PM-1013-05</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3020</td>\n",
+       "      <td>-73.966587</td>\n",
+       "      <td>40.783678</td>\n",
+       "      <td>22D-PM-1012-07</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3021</td>\n",
+       "      <td>-73.963994</td>\n",
+       "      <td>40.789915</td>\n",
+       "      <td>29B-PM-1010-02</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3022</td>\n",
+       "      <td>-73.975479</td>\n",
+       "      <td>40.769640</td>\n",
+       "      <td>5E-PM-1012-01</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3023 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              X          Y Unique Squirrel ID  Running  Chasing  Climbing  \\\n",
+       "0    -73.956134  40.794082     37F-PM-1014-03    False    False     False   \n",
+       "1    -73.957044  40.794851     37E-PM-1006-03     True    False     False   \n",
+       "2    -73.976831  40.766718      2E-AM-1010-03    False    False      True   \n",
+       "3    -73.975725  40.769703      5D-PM-1018-05    False    False      True   \n",
+       "4    -73.959313  40.797533     39B-AM-1018-01    False    False     False   \n",
+       "...         ...        ...                ...      ...      ...       ...   \n",
+       "3018 -73.963943  40.790868     30B-AM-1007-04    False    False     False   \n",
+       "3019 -73.970402  40.782560     19A-PM-1013-05    False    False     False   \n",
+       "3020 -73.966587  40.783678     22D-PM-1012-07    False    False     False   \n",
+       "3021 -73.963994  40.789915     29B-PM-1010-02    False    False     False   \n",
+       "3022 -73.975479  40.769640      5E-PM-1012-01    False    False     False   \n",
+       "\n",
+       "      Eating  Tail flags  Tail twitches  \n",
+       "0      False       False          False  \n",
+       "1      False       False          False  \n",
+       "2      False       False          False  \n",
+       "3      False       False          False  \n",
+       "4      False       False          False  \n",
+       "...      ...         ...            ...  \n",
+       "3018    True       False          False  \n",
+       "3019   False       False          False  \n",
+       "3020    True       False          False  \n",
+       "3021    True       False          False  \n",
+       "3022    True       False          False  \n",
+       "\n",
+       "[3023 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[:, np.r_[0:3,15:19,24,25]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can use the same notation when reading in a csv as well"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_2 = pd.read_csv(\n",
+    "    'https://data.cityofnewyork.us/api/views/vfnx-vebw/rows.csv?accessType=DOWNLOAD&bom=true&format=true',\n",
+    "    usecols=np.r_[1,2,5:8,15:25],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Y</th>\n",
+       "      <th>Unique Squirrel ID</th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Hectare Squirrel Number</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Running</th>\n",
+       "      <th>Chasing</th>\n",
+       "      <th>Climbing</th>\n",
+       "      <th>Eating</th>\n",
+       "      <th>Foraging</th>\n",
+       "      <th>Other Activities</th>\n",
+       "      <th>Kuks</th>\n",
+       "      <th>Quaas</th>\n",
+       "      <th>Moans</th>\n",
+       "      <th>Tail flags</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>40.794082</td>\n",
+       "      <td>37F-PM-1014-03</td>\n",
+       "      <td>10142018</td>\n",
+       "      <td>3</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>40.794851</td>\n",
+       "      <td>37E-PM-1006-03</td>\n",
+       "      <td>10062018</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Adult</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>40.766718</td>\n",
+       "      <td>2E-AM-1010-03</td>\n",
+       "      <td>10102018</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Adult</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>40.769703</td>\n",
+       "      <td>5D-PM-1018-05</td>\n",
+       "      <td>10182018</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Juvenile</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>40.797533</td>\n",
+       "      <td>39B-AM-1018-01</td>\n",
+       "      <td>10182018</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>unknown</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Y Unique Squirrel ID      Date  Hectare Squirrel Number       Age  \\\n",
+       "0  40.794082     37F-PM-1014-03  10142018                        3       NaN   \n",
+       "1  40.794851     37E-PM-1006-03  10062018                        3     Adult   \n",
+       "2  40.766718      2E-AM-1010-03  10102018                        3     Adult   \n",
+       "3  40.769703      5D-PM-1018-05  10182018                        5  Juvenile   \n",
+       "4  40.797533     39B-AM-1018-01  10182018                        1       NaN   \n",
+       "\n",
+       "   Running  Chasing  Climbing  Eating  Foraging Other Activities   Kuks  \\\n",
+       "0    False    False     False   False     False              NaN  False   \n",
+       "1     True    False     False   False     False              NaN  False   \n",
+       "2    False    False      True   False     False              NaN  False   \n",
+       "3    False    False      True   False     False              NaN  False   \n",
+       "4    False    False     False   False     False          unknown   True   \n",
+       "\n",
+       "   Quaas  Moans  Tail flags  \n",
+       "0  False  False       False  \n",
+       "1  False  False       False  \n",
+       "2  False  False       False  \n",
+       "3  False  False       False  \n",
+       "4  False  False       False  "
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_2.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can also select columns using a boolean array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([False, False, False, False, False, False, False, False, False,\n",
+       "       False, False, False, False, False, False,  True, False, False,\n",
+       "       False, False, False, False, False, False, False, False, False,\n",
+       "       False,  True, False, False, False, False, False, False, False])"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "run_cols = df.columns.str.contains('run', case=False)\n",
+    "run_cols"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Running</th>\n",
+       "      <th>Runs from</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Running  Runs from\n",
+       "0    False      False\n",
+       "1     True       True\n",
+       "2    False      False\n",
+       "3    False       True\n",
+       "4    False      False"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[:, run_cols].head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A lambda function can be useful for combining into 1 line."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Running</th>\n",
+       "      <th>Runs from</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Running  Runs from\n",
+       "0    False      False\n",
+       "1     True       True\n",
+       "2    False      False\n",
+       "3    False       True\n",
+       "4    False      False"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[:, lambda df:df.columns.str.contains('run', case=False)].head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A more complex example"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Community Districts</th>\n",
+       "      <th>Borough Boundaries</th>\n",
+       "      <th>City Council Districts</th>\n",
+       "      <th>Police Precincts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Community Districts  Borough Boundaries  City Council Districts  \\\n",
+       "0                   19                   4                      19   \n",
+       "1                   19                   4                      19   \n",
+       "2                   19                   4                      19   \n",
+       "3                   19                   4                      19   \n",
+       "4                   19                   4                      19   \n",
+       "\n",
+       "   Police Precincts  \n",
+       "0                13  \n",
+       "1                13  \n",
+       "2                13  \n",
+       "3                13  \n",
+       "4                13  "
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[:, lambda df: df.columns.str.contains('district|precinct|boundaries',\n",
+    "                                              case=False)].head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Combining index and boolean arrays"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([False, False, False, False, False, False, False, False, False,\n",
+       "       False, False, False, False, False, False, False, False, False,\n",
+       "       False, False, False, False, False, False, False, False, False,\n",
+       "       False, False, False, False, False,  True,  True,  True,  True])"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "location_cols = df.columns.str.contains('district|precinct|boundaries',\n",
+    "                                        case=False)\n",
+    "location_cols"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[32, 33, 34, 35]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "location_indices = [i for i, col in enumerate(location_cols) if col]\n",
+    "location_indices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>X</th>\n",
+       "      <th>Y</th>\n",
+       "      <th>Unique Squirrel ID</th>\n",
+       "      <th>Community Districts</th>\n",
+       "      <th>Borough Boundaries</th>\n",
+       "      <th>City Council Districts</th>\n",
+       "      <th>Police Precincts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>-73.956134</td>\n",
+       "      <td>40.794082</td>\n",
+       "      <td>37F-PM-1014-03</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>-73.957044</td>\n",
+       "      <td>40.794851</td>\n",
+       "      <td>37E-PM-1006-03</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>-73.976831</td>\n",
+       "      <td>40.766718</td>\n",
+       "      <td>2E-AM-1010-03</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>-73.975725</td>\n",
+       "      <td>40.769703</td>\n",
+       "      <td>5D-PM-1018-05</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>-73.959313</td>\n",
+       "      <td>40.797533</td>\n",
+       "      <td>39B-AM-1018-01</td>\n",
+       "      <td>19</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           X          Y Unique Squirrel ID  Community Districts  \\\n",
+       "0 -73.956134  40.794082     37F-PM-1014-03                   19   \n",
+       "1 -73.957044  40.794851     37E-PM-1006-03                   19   \n",
+       "2 -73.976831  40.766718      2E-AM-1010-03                   19   \n",
+       "3 -73.975725  40.769703      5D-PM-1018-05                   19   \n",
+       "4 -73.959313  40.797533     39B-AM-1018-01                   19   \n",
+       "\n",
+       "   Borough Boundaries  City Council Districts  Police Precincts  \n",
+       "0                   4                      19                13  \n",
+       "1                   4                      19                13  \n",
+       "2                   4                      19                13  \n",
+       "3                   4                      19                13  \n",
+       "4                   4                      19                13  "
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.iloc[:, np.r_[0:3,location_indices]].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/beer_analysis.ipynb b/notebooks/beer_analysis.ipynb
new file mode 100644
index 0000000..1b987d4
--- /dev/null
+++ b/notebooks/beer_analysis.ipynb
@@ -0,0 +1,26065 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Simple Analysis of Beer Data from the [Craft Beers Data Set](https://github.com/nickhould/craft-beers-dataset)\n",
+    "\n",
+    "Accompanies post on [Practical Business Python](https://pbpython.com)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import plotly.express as px"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sns.set_style('whitegrid')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_beers = pd.read_csv('https://github.com/nickhould/craft-beers-dataset/blob/master/data/processed/beers.csv?raw=True', index_col=0)\n",
+    "df_breweries = pd.read_csv('https://github.com/nickhould/craft-beers-dataset/blob/master/data/processed/breweries.csv?raw=True', index_col=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>abv</th>\n",
+       "      <th>ibu</th>\n",
+       "      <th>id</th>\n",
+       "      <th>name</th>\n",
+       "      <th>style</th>\n",
+       "      <th>brewery_id</th>\n",
+       "      <th>ounces</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.050</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1436</td>\n",
+       "      <td>Pub Beer</td>\n",
+       "      <td>American Pale Lager</td>\n",
+       "      <td>408</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.066</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2265</td>\n",
+       "      <td>Devil's Cup</td>\n",
+       "      <td>American Pale Ale (APA)</td>\n",
+       "      <td>177</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.071</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2264</td>\n",
+       "      <td>Rise of the Phoenix</td>\n",
+       "      <td>American IPA</td>\n",
+       "      <td>177</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.090</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2263</td>\n",
+       "      <td>Sinister</td>\n",
+       "      <td>American Double / Imperial IPA</td>\n",
+       "      <td>177</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.075</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2262</td>\n",
+       "      <td>Sex and Candy</td>\n",
+       "      <td>American IPA</td>\n",
+       "      <td>177</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     abv  ibu    id                 name                           style  \\\n",
+       "0  0.050  NaN  1436             Pub Beer             American Pale Lager   \n",
+       "1  0.066  NaN  2265          Devil's Cup         American Pale Ale (APA)   \n",
+       "2  0.071  NaN  2264  Rise of the Phoenix                    American IPA   \n",
+       "3  0.090  NaN  2263             Sinister  American Double / Imperial IPA   \n",
+       "4  0.075  NaN  2262        Sex and Candy                    American IPA   \n",
+       "\n",
+       "   brewery_id  ounces  \n",
+       "0         408    12.0  \n",
+       "1         177    12.0  \n",
+       "2         177    12.0  \n",
+       "3         177    12.0  \n",
+       "4         177    12.0  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_beers.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 2410 entries, 0 to 2409\n",
+      "Data columns (total 7 columns):\n",
+      " #   Column      Non-Null Count  Dtype  \n",
+      "---  ------      --------------  -----  \n",
+      " 0   abv         2348 non-null   float64\n",
+      " 1   ibu         1405 non-null   float64\n",
+      " 2   id          2410 non-null   int64  \n",
+      " 3   name        2410 non-null   object \n",
+      " 4   style       2405 non-null   object \n",
+      " 5   brewery_id  2410 non-null   int64  \n",
+      " 6   ounces      2410 non-null   float64\n",
+      "dtypes: float64(3), int64(2), object(2)\n",
+      "memory usage: 150.6+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_beers.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>id</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NorthGate Brewing</td>\n",
+       "      <td>Minneapolis</td>\n",
+       "      <td>MN</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Against the Grain Brewery</td>\n",
+       "      <td>Louisville</td>\n",
+       "      <td>KY</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Jack's Abby Craft Lagers</td>\n",
+       "      <td>Framingham</td>\n",
+       "      <td>MA</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Mike Hess Brewing Company</td>\n",
+       "      <td>San Diego</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Fort Point Beer Company</td>\n",
+       "      <td>San Francisco</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                        name           city state  id\n",
+       "0         NorthGate Brewing     Minneapolis    MN   0\n",
+       "1  Against the Grain Brewery     Louisville    KY   1\n",
+       "2   Jack's Abby Craft Lagers     Framingham    MA   2\n",
+       "3  Mike Hess Brewing Company      San Diego    CA   3\n",
+       "4    Fort Point Beer Company  San Francisco    CA   4"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_breweries.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 558 entries, 0 to 557\n",
+      "Data columns (total 4 columns):\n",
+      " #   Column  Non-Null Count  Dtype \n",
+      "---  ------  --------------  ----- \n",
+      " 0   name    558 non-null    object\n",
+      " 1   city    558 non-null    object\n",
+      " 2   state   558 non-null    object\n",
+      " 3   id      558 non-null    int64 \n",
+      "dtypes: int64(1), object(3)\n",
+      "memory usage: 21.8+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_breweries.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_beer = pd.merge(df_beers, df_breweries, how='left', \n",
+    "                               left_on=\"brewery_id\", \n",
+    "                               right_on=\"id\", \n",
+    "                               suffixes=('_beer', '_brewery'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>abv</th>\n",
+       "      <th>ibu</th>\n",
+       "      <th>id_beer</th>\n",
+       "      <th>name_beer</th>\n",
+       "      <th>style</th>\n",
+       "      <th>brewery_id</th>\n",
+       "      <th>ounces</th>\n",
+       "      <th>name_brewery</th>\n",
+       "      <th>city</th>\n",
+       "      <th>state</th>\n",
+       "      <th>id_brewery</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.050</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1436</td>\n",
+       "      <td>Pub Beer</td>\n",
+       "      <td>American Pale Lager</td>\n",
+       "      <td>408</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>10 Barrel Brewing Company</td>\n",
+       "      <td>Bend</td>\n",
+       "      <td>OR</td>\n",
+       "      <td>408</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.066</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2265</td>\n",
+       "      <td>Devil's Cup</td>\n",
+       "      <td>American Pale Ale (APA)</td>\n",
+       "      <td>177</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>18th Street Brewery</td>\n",
+       "      <td>Gary</td>\n",
+       "      <td>IN</td>\n",
+       "      <td>177</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.071</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2264</td>\n",
+       "      <td>Rise of the Phoenix</td>\n",
+       "      <td>American IPA</td>\n",
+       "      <td>177</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>18th Street Brewery</td>\n",
+       "      <td>Gary</td>\n",
+       "      <td>IN</td>\n",
+       "      <td>177</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.090</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2263</td>\n",
+       "      <td>Sinister</td>\n",
+       "      <td>American Double / Imperial IPA</td>\n",
+       "      <td>177</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>18th Street Brewery</td>\n",
+       "      <td>Gary</td>\n",
+       "      <td>IN</td>\n",
+       "      <td>177</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.075</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2262</td>\n",
+       "      <td>Sex and Candy</td>\n",
+       "      <td>American IPA</td>\n",
+       "      <td>177</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>18th Street Brewery</td>\n",
+       "      <td>Gary</td>\n",
+       "      <td>IN</td>\n",
+       "      <td>177</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     abv  ibu  id_beer            name_beer                           style  \\\n",
+       "0  0.050  NaN     1436             Pub Beer             American Pale Lager   \n",
+       "1  0.066  NaN     2265          Devil's Cup         American Pale Ale (APA)   \n",
+       "2  0.071  NaN     2264  Rise of the Phoenix                    American IPA   \n",
+       "3  0.090  NaN     2263             Sinister  American Double / Imperial IPA   \n",
+       "4  0.075  NaN     2262        Sex and Candy                    American IPA   \n",
+       "\n",
+       "   brewery_id  ounces               name_brewery  city state  id_brewery  \n",
+       "0         408    12.0  10 Barrel Brewing Company  Bend    OR         408  \n",
+       "1         177    12.0        18th Street Brewery  Gary    IN         177  \n",
+       "2         177    12.0        18th Street Brewery  Gary    IN         177  \n",
+       "3         177    12.0        18th Street Brewery  Gary    IN         177  \n",
+       "4         177    12.0        18th Street Brewery  Gary    IN         177  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_beer.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Check for empty values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "abv               62\n",
+       "ibu             1005\n",
+       "id_beer            0\n",
+       "name_beer          0\n",
+       "style              5\n",
+       "brewery_id         0\n",
+       "ounces             0\n",
+       "name_brewery       0\n",
+       "city               0\n",
+       "state              0\n",
+       "id_brewery         0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_beer.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 2410 entries, 0 to 2409\n",
+      "Data columns (total 11 columns):\n",
+      " #   Column        Non-Null Count  Dtype  \n",
+      "---  ------        --------------  -----  \n",
+      " 0   abv           2348 non-null   float64\n",
+      " 1   ibu           1405 non-null   float64\n",
+      " 2   id_beer       2410 non-null   int64  \n",
+      " 3   name_beer     2410 non-null   object \n",
+      " 4   style         2405 non-null   object \n",
+      " 5   brewery_id    2410 non-null   int64  \n",
+      " 6   ounces        2410 non-null   float64\n",
+      " 7   name_brewery  2410 non-null   object \n",
+      " 8   city          2410 non-null   object \n",
+      " 9   state         2410 non-null   object \n",
+      " 10  id_brewery    2410 non-null   int64  \n",
+      "dtypes: float64(3), int64(3), object(5)\n",
+      "memory usage: 225.9+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "all_beer.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f994180a2e0>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "all_beer['ounces'].plot(kind='hist')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "American IPA                      424\n",
+       "American Pale Ale (APA)           245\n",
+       "American Amber / Red Ale          133\n",
+       "American Blonde Ale               108\n",
+       "American Double / Imperial IPA    105\n",
+       "                                 ... \n",
+       "Braggot                             1\n",
+       "Kristalweizen                       1\n",
+       "Other                               1\n",
+       "Wheat Ale                           1\n",
+       "Flanders Oud Bruin                  1\n",
+       "Name: style, Length: 99, dtype: int64"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_beer['style'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_beer['IPA'] = all_beer['style'].str.contains('IPA', case=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False    1834\n",
+       "True      571\n",
+       "Name: IPA, dtype: int64"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_beer['IPA'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f9941047ee0>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 360x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.catplot(data=all_beer, x='IPA', y='ibu', kind='box')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x7f9940f186a0>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 360x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.catplot(data=all_beer, x='IPA', y='ibu', kind='swarm')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "        <script type=\"text/javascript\">\n",
+       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
+       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
+       "        if (typeof require !== 'undefined') {\n",
+       "        require.undef(\"plotly\");\n",
+       "        define('plotly', function(require, exports, module) {\n",
+       "            /**\n",
+       "* plotly.js v1.53.0\n",
+       "* Copyright 2012-2020, Plotly, Inc.\n",
+       "* All rights reserved.\n",
+       "* Licensed under the MIT license\n",
+       "*/\n",
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h=1;for(c=l(t,u,t.length,e),u=0;u<o;u++)h*=e;this.imuln(h),this.words[0]+c<67108864?this.words[0]+=c:this._iaddn(c)}},i.prototype.copy=function(t){t.words=new Array(this.length);for(var e=0;e<this.length;e++)t.words[e]=this.words[e];t.length=this.length,t.negative=this.negative,t.red=this.red},i.prototype.clone=function(){var t=new i(null);return this.copy(t),t},i.prototype._expand=function(t){for(;this.length<t;)this.words[this.length++]=0;return this},i.prototype.strip=function(){for(;this.length>1&&0===this.words[this.length-1];)this.length--;return this._normSign()},i.prototype._normSign=function(){return 1===this.length&&0===this.words[0]&&(this.negative=0),this},i.prototype.inspect=function(){return(this.red?\"<BN-R: \":\"<BN: \")+this.toString(16)+\">\"};var c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],u=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function f(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var a=0|t.words[0],i=0|e.words[0],o=a*i,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,h=67108863&l,f=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=f;p++){var d=c-p|0;u+=(o=(a=0|t.words[d])*(i=0|e.words[p])+h)/67108864|0,h=67108863&o}r.words[c]=0|h,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}i.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var a=0,i=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<a|i)).toString(16);r=0!==(i=s>>>24-a&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(a+=2)>=26&&(a-=26,o--)}for(0!==i&&(r=i.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var f=u[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var g=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?g+r:c[f-g.length]+g+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base should be between 2 and 36\")},i.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,\"Number can only safely store up to 53 bits\"),0!==this.negative?-t:t},i.prototype.toJSON=function(){return this.toString(16)},i.prototype.toBuffer=function(t,e){return n(\"undefined\"!=typeof o),this.toArrayLike(o,t,e)},i.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},i.prototype.toArrayLike=function(t,e,r){var a=this.byteLength(),i=r||Math.max(1,a);n(a<=i,\"byte array longer than desired length\"),n(i>0,\"Requested array length <= 0\"),this.strip();var o,s,l=\"le\"===e,c=new t(i),u=this.clone();if(l){for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[s]=o;for(;s<i;s++)c[s]=0}else{for(s=0;s<i-a;s++)c[s]=0;for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[i-s-1]=o}return c},Math.clz32?i.prototype._countBits=function(t){return 32-Math.clz32(t)}:i.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},i.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},i.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},i.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},i.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},i.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},i.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},i.prototype.isNeg=function(){return 0!==this.negative},i.prototype.neg=function(){return this.clone().ineg()},i.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},i.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},i.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},i.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},i.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},i.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},i.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},i.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},i.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},i.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},i.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},i.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},i.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},i.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var a=0;a<e;a++)this.words[a]=67108863&~this.words[a];return r>0&&(this.words[a]=~this.words[a]&67108863>>26-r),this.strip()},i.prototype.notn=function(t){return this.clone().inotn(t)},i.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,a=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<a:this.words[r]&~(1<<a),this.strip()},i.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var a=0,i=0;i<n.length;i++)e=(0|r.words[i])+(0|n.words[i])+a,this.words[i]=67108863&e,a=e>>>26;for(;0!==a&&i<r.length;i++)e=(0|r.words[i])+a,this.words[i]=67108863&e,a=e>>>26;if(this.length=r.length,0!==a)this.words[this.length]=a,this.length++;else if(r!==this)for(;i<r.length;i++)this.words[i]=r.words[i];return this},i.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},i.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,a=this.cmp(t);if(0===a)return this.negative=0,this.length=1,this.words[0]=0,this;a>0?(r=this,n=t):(r=t,n=this);for(var i=0,o=0;o<n.length;o++)i=(e=(0|r.words[o])-(0|n.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<r.length;o++)i=(e=(0|r.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,a,i,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,v=0|o[2],m=8191&v,y=v>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],k=8191&w,T=w>>>13,M=0|o[5],A=8191&M,S=M>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,z=P>>>13,I=0|o[8],D=8191&I,R=I>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],V=8191&j,U=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,at=0|s[6],it=8191&at,ot=at>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var vt=(c+(n=Math.imul(h,V))|0)+((8191&(a=(a=Math.imul(h,U))+Math.imul(f,V)|0))<<13)|0;c=((i=Math.imul(f,U))+(a>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(d,V),a=(a=Math.imul(d,U))+Math.imul(g,V)|0,i=Math.imul(g,U);var mt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(a=(a=a+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((i=i+Math.imul(f,G)|0)+(a>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(m,V),a=(a=Math.imul(m,U))+Math.imul(y,V)|0,i=Math.imul(y,U),n=n+Math.imul(d,H)|0,a=(a=a+Math.imul(d,G)|0)+Math.imul(g,H)|0,i=i+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(a=(a=a+Math.imul(h,X)|0)+Math.imul(f,W)|0))<<13)|0;c=((i=i+Math.imul(f,X)|0)+(a>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,V),a=(a=Math.imul(b,U))+Math.imul(_,V)|0,i=Math.imul(_,U),n=n+Math.imul(m,H)|0,a=(a=a+Math.imul(m,G)|0)+Math.imul(y,H)|0,i=i+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,a=(a=a+Math.imul(d,X)|0)+Math.imul(g,W)|0,i=i+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(a=(a=a+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((i=i+Math.imul(f,K)|0)+(a>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(k,V),a=(a=Math.imul(k,U))+Math.imul(T,V)|0,i=Math.imul(T,U),n=n+Math.imul(b,H)|0,a=(a=a+Math.imul(b,G)|0)+Math.imul(_,H)|0,i=i+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,a=(a=a+Math.imul(m,X)|0)+Math.imul(y,W)|0,i=i+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,a=(a=a+Math.imul(d,K)|0)+Math.imul(g,J)|0,i=i+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(a=(a=a+Math.imul(h,tt)|0)+Math.imul(f,$)|0))<<13)|0;c=((i=i+Math.imul(f,tt)|0)+(a>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(A,V),a=(a=Math.imul(A,U))+Math.imul(S,V)|0,i=Math.imul(S,U),n=n+Math.imul(k,H)|0,a=(a=a+Math.imul(k,G)|0)+Math.imul(T,H)|0,i=i+Math.imul(T,G)|0,n=n+Math.imul(b,W)|0,a=(a=a+Math.imul(b,X)|0)+Math.imul(_,W)|0,i=i+Math.imul(_,X)|0,n=n+Math.imul(m,J)|0,a=(a=a+Math.imul(m,K)|0)+Math.imul(y,J)|0,i=i+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,a=(a=a+Math.imul(d,tt)|0)+Math.imul(g,$)|0,i=i+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(a=(a=a+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((i=i+Math.imul(f,nt)|0)+(a>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,V),a=(a=Math.imul(L,U))+Math.imul(C,V)|0,i=Math.imul(C,U),n=n+Math.imul(A,H)|0,a=(a=a+Math.imul(A,G)|0)+Math.imul(S,H)|0,i=i+Math.imul(S,G)|0,n=n+Math.imul(k,W)|0,a=(a=a+Math.imul(k,X)|0)+Math.imul(T,W)|0,i=i+Math.imul(T,X)|0,n=n+Math.imul(b,J)|0,a=(a=a+Math.imul(b,K)|0)+Math.imul(_,J)|0,i=i+Math.imul(_,K)|0,n=n+Math.imul(m,$)|0,a=(a=a+Math.imul(m,tt)|0)+Math.imul(y,$)|0,i=i+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,a=(a=a+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,i=i+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(h,it)|0)|0)+((8191&(a=(a=a+Math.imul(h,ot)|0)+Math.imul(f,it)|0))<<13)|0;c=((i=i+Math.imul(f,ot)|0)+(a>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,V),a=(a=Math.imul(O,U))+Math.imul(z,V)|0,i=Math.imul(z,U),n=n+Math.imul(L,H)|0,a=(a=a+Math.imul(L,G)|0)+Math.imul(C,H)|0,i=i+Math.imul(C,G)|0,n=n+Math.imul(A,W)|0,a=(a=a+Math.imul(A,X)|0)+Math.imul(S,W)|0,i=i+Math.imul(S,X)|0,n=n+Math.imul(k,J)|0,a=(a=a+Math.imul(k,K)|0)+Math.imul(T,J)|0,i=i+Math.imul(T,K)|0,n=n+Math.imul(b,$)|0,a=(a=a+Math.imul(b,tt)|0)+Math.imul(_,$)|0,i=i+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,a=(a=a+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,i=i+Math.imul(y,nt)|0,n=n+Math.imul(d,it)|0,a=(a=a+Math.imul(d,ot)|0)+Math.imul(g,it)|0,i=i+Math.imul(g,ot)|0;var kt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(a=(a=a+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((i=i+Math.imul(f,ct)|0)+(a>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(D,V),a=(a=Math.imul(D,U))+Math.imul(R,V)|0,i=Math.imul(R,U),n=n+Math.imul(O,H)|0,a=(a=a+Math.imul(O,G)|0)+Math.imul(z,H)|0,i=i+Math.imul(z,G)|0,n=n+Math.imul(L,W)|0,a=(a=a+Math.imul(L,X)|0)+Math.imul(C,W)|0,i=i+Math.imul(C,X)|0,n=n+Math.imul(A,J)|0,a=(a=a+Math.imul(A,K)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,K)|0,n=n+Math.imul(k,$)|0,a=(a=a+Math.imul(k,tt)|0)+Math.imul(T,$)|0,i=i+Math.imul(T,tt)|0,n=n+Math.imul(b,rt)|0,a=(a=a+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,i=i+Math.imul(_,nt)|0,n=n+Math.imul(m,it)|0,a=(a=a+Math.imul(m,ot)|0)+Math.imul(y,it)|0,i=i+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,a=(a=a+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,i=i+Math.imul(g,ct)|0;var Tt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(a=(a=a+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((i=i+Math.imul(f,ft)|0)+(a>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(B,V),a=(a=Math.imul(B,U))+Math.imul(N,V)|0,i=Math.imul(N,U),n=n+Math.imul(D,H)|0,a=(a=a+Math.imul(D,G)|0)+Math.imul(R,H)|0,i=i+Math.imul(R,G)|0,n=n+Math.imul(O,W)|0,a=(a=a+Math.imul(O,X)|0)+Math.imul(z,W)|0,i=i+Math.imul(z,X)|0,n=n+Math.imul(L,J)|0,a=(a=a+Math.imul(L,K)|0)+Math.imul(C,J)|0,i=i+Math.imul(C,K)|0,n=n+Math.imul(A,$)|0,a=(a=a+Math.imul(A,tt)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,tt)|0,n=n+Math.imul(k,rt)|0,a=(a=a+Math.imul(k,nt)|0)+Math.imul(T,rt)|0,i=i+Math.imul(T,nt)|0,n=n+Math.imul(b,it)|0,a=(a=a+Math.imul(b,ot)|0)+Math.imul(_,it)|0,i=i+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,a=(a=a+Math.imul(m,ct)|0)+Math.imul(y,lt)|0,i=i+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,a=(a=a+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,i=i+Math.imul(g,ft)|0;var Mt=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(a=(a=a+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((i=i+Math.imul(f,gt)|0)+(a>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,H),a=(a=Math.imul(B,G))+Math.imul(N,H)|0,i=Math.imul(N,G),n=n+Math.imul(D,W)|0,a=(a=a+Math.imul(D,X)|0)+Math.imul(R,W)|0,i=i+Math.imul(R,X)|0,n=n+Math.imul(O,J)|0,a=(a=a+Math.imul(O,K)|0)+Math.imul(z,J)|0,i=i+Math.imul(z,K)|0,n=n+Math.imul(L,$)|0,a=(a=a+Math.imul(L,tt)|0)+Math.imul(C,$)|0,i=i+Math.imul(C,tt)|0,n=n+Math.imul(A,rt)|0,a=(a=a+Math.imul(A,nt)|0)+Math.imul(S,rt)|0,i=i+Math.imul(S,nt)|0,n=n+Math.imul(k,it)|0,a=(a=a+Math.imul(k,ot)|0)+Math.imul(T,it)|0,i=i+Math.imul(T,ot)|0,n=n+Math.imul(b,lt)|0,a=(a=a+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,i=i+Math.imul(_,ct)|0,n=n+Math.imul(m,ht)|0,a=(a=a+Math.imul(m,ft)|0)+Math.imul(y,ht)|0,i=i+Math.imul(y,ft)|0;var At=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(a=(a=a+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((i=i+Math.imul(g,gt)|0)+(a>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,W),a=(a=Math.imul(B,X))+Math.imul(N,W)|0,i=Math.imul(N,X),n=n+Math.imul(D,J)|0,a=(a=a+Math.imul(D,K)|0)+Math.imul(R,J)|0,i=i+Math.imul(R,K)|0,n=n+Math.imul(O,$)|0,a=(a=a+Math.imul(O,tt)|0)+Math.imul(z,$)|0,i=i+Math.imul(z,tt)|0,n=n+Math.imul(L,rt)|0,a=(a=a+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,i=i+Math.imul(C,nt)|0,n=n+Math.imul(A,it)|0,a=(a=a+Math.imul(A,ot)|0)+Math.imul(S,it)|0,i=i+Math.imul(S,ot)|0,n=n+Math.imul(k,lt)|0,a=(a=a+Math.imul(k,ct)|0)+Math.imul(T,lt)|0,i=i+Math.imul(T,ct)|0,n=n+Math.imul(b,ht)|0,a=(a=a+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,i=i+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(m,dt)|0)|0)+((8191&(a=(a=a+Math.imul(m,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((i=i+Math.imul(y,gt)|0)+(a>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),a=(a=Math.imul(B,K))+Math.imul(N,J)|0,i=Math.imul(N,K),n=n+Math.imul(D,$)|0,a=(a=a+Math.imul(D,tt)|0)+Math.imul(R,$)|0,i=i+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,a=(a=a+Math.imul(O,nt)|0)+Math.imul(z,rt)|0,i=i+Math.imul(z,nt)|0,n=n+Math.imul(L,it)|0,a=(a=a+Math.imul(L,ot)|0)+Math.imul(C,it)|0,i=i+Math.imul(C,ot)|0,n=n+Math.imul(A,lt)|0,a=(a=a+Math.imul(A,ct)|0)+Math.imul(S,lt)|0,i=i+Math.imul(S,ct)|0,n=n+Math.imul(k,ht)|0,a=(a=a+Math.imul(k,ft)|0)+Math.imul(T,ht)|0,i=i+Math.imul(T,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(a=(a=a+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((i=i+Math.imul(_,gt)|0)+(a>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),a=(a=Math.imul(B,tt))+Math.imul(N,$)|0,i=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,a=(a=a+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,i=i+Math.imul(R,nt)|0,n=n+Math.imul(O,it)|0,a=(a=a+Math.imul(O,ot)|0)+Math.imul(z,it)|0,i=i+Math.imul(z,ot)|0,n=n+Math.imul(L,lt)|0,a=(a=a+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,i=i+Math.imul(C,ct)|0,n=n+Math.imul(A,ht)|0,a=(a=a+Math.imul(A,ft)|0)+Math.imul(S,ht)|0,i=i+Math.imul(S,ft)|0;var Lt=(c+(n=n+Math.imul(k,dt)|0)|0)+((8191&(a=(a=a+Math.imul(k,gt)|0)+Math.imul(T,dt)|0))<<13)|0;c=((i=i+Math.imul(T,gt)|0)+(a>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),a=(a=Math.imul(B,nt))+Math.imul(N,rt)|0,i=Math.imul(N,nt),n=n+Math.imul(D,it)|0,a=(a=a+Math.imul(D,ot)|0)+Math.imul(R,it)|0,i=i+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,a=(a=a+Math.imul(O,ct)|0)+Math.imul(z,lt)|0,i=i+Math.imul(z,ct)|0,n=n+Math.imul(L,ht)|0,a=(a=a+Math.imul(L,ft)|0)+Math.imul(C,ht)|0,i=i+Math.imul(C,ft)|0;var Ct=(c+(n=n+Math.imul(A,dt)|0)|0)+((8191&(a=(a=a+Math.imul(A,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((i=i+Math.imul(S,gt)|0)+(a>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,it),a=(a=Math.imul(B,ot))+Math.imul(N,it)|0,i=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,a=(a=a+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,i=i+Math.imul(R,ct)|0,n=n+Math.imul(O,ht)|0,a=(a=a+Math.imul(O,ft)|0)+Math.imul(z,ht)|0,i=i+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(a=(a=a+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((i=i+Math.imul(C,gt)|0)+(a>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),a=(a=Math.imul(B,ct))+Math.imul(N,lt)|0,i=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,a=(a=a+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,i=i+Math.imul(R,ft)|0;var Ot=(c+(n=n+Math.imul(O,dt)|0)|0)+((8191&(a=(a=a+Math.imul(O,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((i=i+Math.imul(z,gt)|0)+(a>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ht),a=(a=Math.imul(B,ft))+Math.imul(N,ht)|0,i=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(a=(a=a+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((i=i+Math.imul(R,gt)|0)+(a>>>13)|0)+(zt>>>26)|0,zt&=67108863;var It=(c+(n=Math.imul(B,dt))|0)+((8191&(a=(a=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((i=Math.imul(N,gt))+(a>>>13)|0)+(It>>>26)|0,It&=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=kt,l[8]=Tt,l[9]=Mt,l[10]=At,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=zt,l[18]=It,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),i.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,a=0,i=0;i<r.length-1;i++){var o=a;a=0;for(var s=67108863&n,l=Math.min(i,e.length-1),c=Math.max(0,i-t.length+1);c<=l;c++){var u=i-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),a+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[i]=s,n=o,o=a}return 0!==n?r.words[i]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=i.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,a=0;a<e;a++)n|=(1&t)<<e-a-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,a,i){for(var o=0;o<i;o++)n[o]=e[t[o]],a[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,a,i){this.permute(i,t,e,r,n,a);for(var o=1;o<a;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<a;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],v=r[u+p+o],m=n[u+p+o],y=h*v-f*m;m=h*m+f*v,v=y,r[u+p]=d+v,n[u+p]=g+m,r[u+p+o]=d-v,n[u+p+o]=g-m,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,a=0;for(r=r/2|0;r;r>>>=1)a++;return 1<<a+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var a=t[n];t[n]=t[r-n-1],t[r-n-1]=a,a=e[n],e[n]=-e[r-n-1],e[r-n-1]=-a}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var a=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&a,r=a<67108864?0:a/67108864|0}return t},g.prototype.convert13b=function(t,e,r,a){for(var i=0,o=0;o<e;o++)i+=0|t[o],r[2*o]=8191&i,i>>>=13,r[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<a;++o)r[o]=0;n(0===i),n(0==(-8192&i))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),a=this.makeRBT(n),i=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),h=new Array(n),f=r.words;f.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,i,s,l,n,a),this.transform(c,i,u,h,n,a);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*h[p];l[p]=s[p]*h[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,f,i,n,a),this.conjugate(f,i,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},i.prototype.mul=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},i.prototype.mulf=function(t){var e=new i(null);return e.words=new Array(this.length+t.length),d(this,t,e)},i.prototype.imul=function(t){return this.clone().mulTo(t,this)},i.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var a=(0|this.words[r])*t,i=(67108863&a)+(67108863&e);e>>=26,e+=a/67108864|0,e+=i>>>26,this.words[r]=67108863&i}return 0!==e&&(this.words[r]=e,this.length++),this},i.prototype.muln=function(t){return this.clone().imuln(t)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,a=r%26;e[r]=(t.words[n]&1<<a)>>>a}return e}(t);if(0===e.length)return new i(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var a=r.sqr();n<e.length;n++,a=a.sqr())0!==e[n]&&(r=r.mul(a));return r},i.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,a=(t-r)/26,i=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&i,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==a){for(e=this.length-1;e>=0;e--)this.words[e+a]=this.words[e];for(e=0;e<a;e++)this.words[e]=0;this.length+=a}return this.strip()},i.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},i.prototype.iushrn=function(t,e,r){var a;n(\"number\"==typeof t&&t>=0),a=e?(e-e%26)/26:0;var i=t%26,o=Math.min((t-i)/26,this.length),s=67108863^67108863>>>i<<i,l=r;if(a-=o,a=Math.max(0,a),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=a);c--){var h=0|this.words[c];this.words[c]=u<<26-i|h>>>i,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},i.prototype.shln=function(t){return this.clone().ishln(t)},i.prototype.ushln=function(t){return this.clone().iushln(t)},i.prototype.shrn=function(t){return this.clone().ishrn(t)},i.prototype.ushrn=function(t){return this.clone().iushrn(t)},i.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,a=1<<e;return!(this.length<=r)&&!!(this.words[r]&a)},i.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var a=67108863^67108863>>>e<<e;this.words[this.length-1]&=a}return this.strip()},i.prototype.maskn=function(t){return this.clone().imaskn(t)},i.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},i.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(t){return this.clone().iaddn(t)},i.prototype.subn=function(t){return this.clone().isubn(t)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(t,e,r){var a,i,o=t.length+r;this._expand(o);var s=0;for(a=0;a<t.length;a++){i=(0|this.words[a+r])+s;var l=(0|t.words[a])*e;s=((i-=67108863&l)>>26)-(l/67108864|0),this.words[a+r]=67108863&i}for(;a<this.length-r;a++)s=(i=(0|this.words[a+r])+s)>>26,this.words[a+r]=67108863&i;if(0===s)return this.strip();for(n(-1===s),s=0,a=0;a<this.length;a++)s=(i=-(0|this.words[a])+s)>>26,this.words[a]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),a=t,o=0|a.words[a.length-1];0!==(r=26-this._countBits(o))&&(a=a.ushln(r),n.iushln(r),o=0|a.words[a.length-1]);var s,l=n.length-a.length;if(\"mod\"!==e){(s=new i(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(a,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[a.length+h])+(0|n.words[a.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(a,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(a,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},i.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(a=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:a,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(a=s.div.neg()),{div:a,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new i(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new i(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new i(this.modn(t.words[0]))}:this._wordDiv(t,e);var a,o,s},i.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},i.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},i.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},i.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),a=t.andln(1),i=r.cmp(n);return i<0||1===a&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,a=this.length-1;a>=0;a--)r=(e*r+(0|this.words[a]))%t;return r},i.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var a=(0|this.words[r])+67108864*e;this.words[r]=a/t|0,e=a%t}return this.strip()},i.prototype.divn=function(t){return this.clone().idivn(t)},i.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a=new i(1),o=new i(0),s=new i(0),l=new i(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),h=e.clone();!e.isZero();){for(var f=0,p=1;0==(e.words[0]&p)&&f<26;++f,p<<=1);if(f>0)for(e.iushrn(f);f-- >0;)(a.isOdd()||o.isOdd())&&(a.iadd(u),o.isub(h)),a.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),a.isub(s),o.isub(l)):(r.isub(e),s.isub(a),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},i.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var a,o=new i(1),s=new i(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var h=0,f=1;0==(r.words[0]&f)&&h<26;++h,f<<=1);if(h>0)for(r.iushrn(h);h-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(a=0===e.cmpn(1)?o:s).cmpn(0)<0&&a.iadd(t),a},i.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var a=e.cmp(r);if(a<0){var i=e;e=r,r=i}else if(0===a||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},i.prototype.invm=function(t){return this.egcd(t).a.umod(t)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(t){return this.words[0]&t},i.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,a=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=a,this;for(var i=a,o=r;0!==i&&o<this.length;o++){var s=0|this.words[o];i=(s+=i)>>>26,s&=67108863,this.words[o]=s}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var a=0|this.words[0];e=a===t?0:a<t?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],a=0|t.words[r];if(n!==a){n<a?e=-1:n>a&&(e=1);break}}return e},i.prototype.gtn=function(t){return 1===this.cmpn(t)},i.prototype.gt=function(t){return 1===this.cmp(t)},i.prototype.gten=function(t){return this.cmpn(t)>=0},i.prototype.gte=function(t){return this.cmp(t)>=0},i.prototype.ltn=function(t){return-1===this.cmpn(t)},i.prototype.lt=function(t){return-1===this.cmp(t)},i.prototype.lten=function(t){return this.cmpn(t)<=0},i.prototype.lte=function(t){return this.cmp(t)<=0},i.prototype.eqn=function(t){return 0===this.cmpn(t)},i.prototype.eq=function(t){return 0===this.cmp(t)},i.red=function(t){return new w(t)},i.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},i.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},i.prototype._forceRed=function(t){return this.red=t,this},i.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},i.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},i.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},i.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},i.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},i.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},i.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},i.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},i.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=i._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new i(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},a(y,m),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=4194303&a,n=10;n<t.length;n++){var i=0|t.words[n];t.words[n-10]=(4194303&i)<<4|a>>>22,a=i}a>>>=22,t.words[n-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},a(x,m),a(b,m),a(_,m),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,a=67108863&n;n>>>=26,t.words[r]=a,e=n}return 0!==e&&(t.words[t.length++]=e),t},i._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return v[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new i(1)).iushrn(2);return this.pow(t,r)}for(var a=this.m.subn(1),o=0;!a.isZero()&&0===a.andln(1);)o++,a.iushrn(1);n(!a.isZero());var s=new i(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new i(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,a),f=this.pow(t,a.addn(1).iushrn(1)),p=this.pow(t,a),d=o;0!==p.cmp(s);){for(var g=p,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v<d);var m=this.pow(h,new i(1).iushln(d-v-1));f=f.redMul(m),h=m.redSqr(),p=p.redMul(h),d=v}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new i(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var a=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;a!==r[0]&&(a=this.sqr(a)),0!==h||0!==o?(o<<=1,o|=h,(4===++s||0===n&&0===u)&&(a=this.mul(a,r[o]),s=0,o=0)):s=0}l=26}return a},w.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},w.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},i.mont=function(t){return new k(t)},a(k,w),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),i=a;return a.cmp(this.m)>=0?i=a.isub(this.m):a.cmpn(0)<0&&(i=a.iadd(this.m)),i._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new i(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),a=r.isub(n).iushrn(this.shift),o=a;return a.cmp(this.m)>=0?o=a.isub(this.m):a.cmpn(0)<0&&(o=a.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(\"undefined\"==typeof e||e,this)},{buffer:105}],97:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,a=t.length,i=0;for(e=0;e<a;++e)i+=t[e].length;var o=new Array(i),s=0;for(e=0;e<a;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),h=0;for(n=0;n<c;++n)n!==r&&(u[h++]=l[n]);if(1&r){var f=u[1];u[1]=u[0],u[0]=f}}}return o}},{}],98:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return n=[],c(a=t,a,u,!0),n;case 2:return\"function\"==typeof e?c(t,t,e,!0):function(t,e){return n=[],c(t,e,u,!1),n}(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}var a};var 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n=t(\"typedarray-pool\"),a=t(\"bit-twiddle\"),i=t(\"./brute\"),o=i.partial,s=i.full,l=t(\"./sweep\"),c=t(\"./median\"),u=t(\"./partition\"),h=128,f=1<<22,p=1<<22,d=u(\"!(lo>=p0)&&!(p1>=hi)\",[\"p0\",\"p1\"]),g=u(\"lo===p0\",[\"p0\"]),v=u(\"lo<p0\",[\"p0\"]),m=u(\"hi<=p0\",[\"p0\"]),y=u(\"lo<=p0&&p0<=hi\",[\"p0\"]),x=u(\"lo<p0&&p0<=hi\",[\"p0\"]),b=6,_=2,w=n.mallocInt32(1024),k=n.mallocDouble(1024);function T(t,e,r,n,a,i,o,s,l){var c=b*t;w[c]=e,w[c+1]=r,w[c+2]=n,w[c+3]=a,w[c+4]=i,w[c+5]=o;var u=_*t;k[u]=s,k[u+1]=l}function M(t,e,r,n,a,i,o,s,l,c,u){var h=2*t,f=l*h,p=c[f+e];t:for(var d=a,g=a*h;d<i;++d,g+=h){var v=o[g+e],m=o[g+e+t];if(!(p<v||m<p)&&(!n||p!==v)){for(var y,x=s[d],b=e+1;b<t;++b){v=o[g+b],m=o[g+b+t];var _=c[f+b],w=c[f+b+t];if(m<_||w<v)continue t}if(void 0!==(y=n?r(u,x):r(x,u)))return y}}}function A(t,e,r,n,a,i,o,s,l,c){var u=2*t,h=s*u,f=l[h+e];t:for(var p=n,d=n*u;p<a;++p,d+=u){var g=o[p];if(g!==c){var v=i[d+e],m=i[d+e+t];if(!(f<v||m<f)){for(var 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n=t(\"./partition\")(\"lo<p0\",[\"p0\"]),a=8;function i(t,e,r,n,a,i){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=a[s],u=l,h=o*(l-1);u>r&&a[h+e]>c;--u,h-=o){for(var f=h,p=h+o,d=0;d<o;++d,++f,++p){var g=a[f];a[f]=a[p],a[p]=g}var v=i[u];i[u]=i[u-1],i[u-1]=v}}},{\"./partition\":102}],102:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=\"abcdef\".split(\"\").concat(e),a=[];t.indexOf(\"lo\")>=0&&a.push(\"lo=e[k+n]\");t.indexOf(\"hi\")>=0&&a.push(\"hi=e[k+o]\");return r.push(n.replace(\"_\",a.join()).replace(\"$\",t)),Function.apply(void 0,r)};var n=\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return m\"},{}],103:[function(t,e,r){\"use strict\";e.exports=function(t,e){e<=4*n?a(0,e-1,t):function t(e,r,h){var 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c=(i=r.left=o(i)).right=o(i.right),r.left=c.right,i.right=c.left,c.right=r,c.left=i,c._color=r._color,r._color=a,i._color=a,e._color=a,l(r),l(i),l(c),u>1&&((h=t[u-2]).right===r?h.right=c:h.left=c),void(t[u-1]=c);if(i._color===a){if(r._color===n)return r._color=a,void(r.left=s(n,i));r.left=s(n,i);continue}var h;i=o(i),r.left=i.right,i.right=r,i._color=r._color,r._color=n,l(r),l(i),u>1&&((h=t[u-2]).right===r?h.right=i:h.left=i),t[u-1]=i,t[u]=r,u+1<t.length?t[u+1]=e:t.push(e),u+=2}}}(e),g.left===r?g.left=null:g.right=null,new c(this.tree._compare,e[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return 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t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),i(\"tickSize\"),i(\"tickAngle\"),i(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),i(\"labelSize\"),i(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),i(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),i(\"lineTickLength\"),i(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),i(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),i(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=a(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(t,e,r,n,a){for(var i=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=i,f=s,p=o,d=l;c&1<<u&&(h=s,f=i,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],a[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,a=t.projection||l,i=this.bounds,s=t._ortho||!1,u=o(r,n,a,i,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],k=n[15],T=(s?2:1)*this.pixelRatio*(a[3]*b+a[7]*_+a[11]*w+a[15]*k)/e.drawingBufferHeight,M=0;M<3;++M)this.lastCubeProps.cubeEdges[M]=h[M],this.lastCubeProps.axis[M]=f[M];var A=p;for(M=0;M<3;++M)d(p[M],M,this.bounds,h,f);e=this.gl;var S,E=g;for(M=0;M<3;++M)this.backgroundEnable[M]?E[M]=f[M]:E[M]=0;this._background.draw(r,n,a,i,E,this.backgroundColor),this._lines.bind(r,n,a,this);for(M=0;M<3;++M){var L=[0,0,0];f[M]>0?L[M]=i[1][M]:L[M]=i[0][M];for(var C=0;C<2;++C){var P=(M+1+C)%3,O=(M+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,O,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(M+1+C)%3,O=(M+1+(1^C))%3;this.zeroEnable[O]&&Math.min(i[0][O],i[1][O])<=0&&Math.max(i[0][O],i[1][O])>=0&&this._lines.drawZero(P,O,this.bounds,L,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}}for(M=0;M<3;++M){this.lineEnable[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].primalOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio),this.lineMirror[M]&&this._lines.drawAxisLine(M,this.bounds,A[M].mirrorOffset,this.lineColor[M],this.lineWidth[M]*this.pixelRatio);var z=c(m,A[M].primalMinor),I=c(y,A[M].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=T/r[5*C];z[C]*=D[C]*R,I[C]*=D[C]*R}this.lineTickEnable[M]&&this._lines.drawAxisTicks(M,A[M].primalOffset,z,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio),this.lineTickMirror[M]&&this._lines.drawAxisTicks(M,A[M].mirrorOffset,I,this.lineTickColor[M],this.lineTickWidth[M]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,a,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,a=(t+2)%3,i=e[n],o=e[a],s=r[n],l=r[a];i>0&&l>0?N(n):i>0&&l<0?N(n):i<0&&l>0?N(n):i<0&&l<0?N(n):o>0&&s>0?N(a):o>0&&s<0?N(a):o<0&&s>0?N(a):o<0&&s<0&&N(a)}for(M=0;M<3;++M){var V=A[M].primalMinor,U=A[M].mirrorMinor,q=c(x,A[M].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[M]&&(q[C]+=T*V[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[M]=1,this.tickEnable[M]){-3600===this.tickAngle[M]?(this.tickAngle[M]=0,this.tickAlign[M]=\"auto\"):this.tickAlign[M]=-1,F=1,\"auto\"===(S=[this.tickAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(M,V,U);for(C=0;C<3;++C)q[C]+=T*V[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(M,this.tickSize[M],this.tickAngle[M],q,this.tickColor[M],H,B,S)}if(this.labelEnable[M]){F=0,B=[0,0,0],this.labels[M].length>4&&(N(M),F=1),\"auto\"===(S=[this.labelAlign[M],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)q[C]+=T*V[C]*this.labelPad[C]/r[5*C];q[M]+=.5*(i[0][M]+i[1][M]),this._text.drawLabel(M,this.labelSize[M],this.labelAngle[M],q,this.labelColor[M],[0,0,0],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":237,\"./lib/cube.js\":238,\"./lib/lines.js\":239,\"./lib/text.js\":241,\"./lib/ticks.js\":242}],237:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var v=c;c=u,u=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=a(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=i(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,m,x,b)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,a,i){for(var o=!1,s=0;s<3;++s)o=o||a[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:a,colors:i},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],238:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,i,p){a(s,e,t),a(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=i[x][2];for(var b=0;b<2;++b){u[1]=i[b][1];for(var _=0;_<2;++_)u[0]=i[_][0],f(l[y],u,s),y+=1}}for(var w=-1,x=0;x<8;++x){for(var k=l[x][3],T=0;T<3;++T)c[x][T]=l[x][T]/k;p&&(c[x][2]*=-1),k<0&&(w<0?w=x:c[x][2]<c[w][2]&&(w=x))}if(w<0){w=0;for(var M=0;M<3;++M){for(var A=(M+2)%3,S=(M+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S);o(c[P],c[O],c[z],h)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<M);else{for(var C=0;C<2;++C){var P=C<<M,O=P+(C<<A)+(1-C<<S),z=P+(1-C<<A)+(C<<S),I=d([l[P],l[O],l[z],l[P+(1<<A)+(1<<S)]]);C?E=I:L=I}L>E&&(w|=1<<M)}}}for(var D=7^w,R=-1,x=0;x<8;++x)x!==w&&x!==D&&(R<0?R=x:c[R][1]>c[x][1]&&(R=x));for(var F=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D){F<0&&(F=B);var S=c[B];S[0]<c[F][0]&&(F=B)}}for(var N=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D&&B!==F){N<0&&(N=B);var S=c[B];S[0]>c[N][0]&&(N=B)}}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^N)]=R&N;var V=7^N;V===w||V===D?(V=7^F,j[n.log2(N^V)]=V&N):j[n.log2(F^V)]=V&F;for(var U=v,q=w,M=0;M<3;++M)U[M]=q&1<<M?-1:1;return m};var n=t(\"bit-twiddle\"),a=t(\"gl-mat4/multiply\"),i=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var a=0;a<3;++a)t[n]+=e[a]*r[4*a+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=i.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],a=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-a,h=l[0]/l[3]-n,f=l[1]/l[3]-a;o+=Math.abs(c*f-u*h)}return o}var g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{\"bit-twiddle\":94,\"gl-mat4/multiply\":270,\"robust-orientation\":508,\"split-polygon\":525}],239:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[h]=f,l[h]=v-f;for(var f=o.length/3|0,m=0;m<r[h].length;++m){var g=+r[h][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;c[h]=f,u[h]=v-f}var y=n(t,new Float32Array(o)),x=a(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=i(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,a,i,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=a,this.tickOffset=i,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,a){var i=h(s);this.shader.uniforms.majorAxis=s,i[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=i;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,a){if(this.tickCount[t]){var i=h(o);i[t]=1,this.shader.uniforms.majorAxis=i,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=a;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,a,i){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,a,i){var o=h(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=f(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=h(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=a,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":240,\"gl-buffer\":244,\"gl-vao\":329}],240:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return a(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return a(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:410}],241:[function(t,e,r){(function(r){\"use strict\";e.exports=function(t,e,r,i,s,l){var u=n(t),h=a(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,i,s,l),p};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var a=this.shader.uniforms;a.model=t,a.view=e,a.projection=r,a.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,a){var o=[];function s(t,e,r,n,a,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return i(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:a,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var v=p[d],m=2;m>=0;--m){var y=f[v[m]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||a,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,a,i,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,a,i,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=i,this.shader.uniforms.color=a,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t(\"_process\"))},{\"./shaders\":240,_process:483,\"gl-buffer\":244,\"gl-vao\":329,\"vectorize-text\":548}],242:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),a=0;n>=0&&(a=r.length-n-1);var i=Math.pow(10,a),o=Math.round(t*e*i),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/i,c=o%i;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),a){for(var h=\"\"+c;h.length<a;)h=\"0\"+h;return u+\".\"+h}return u}r.create=function(t,e){for(var r=[],a=0;a<3;++a){for(var i=[],o=(t[0][a],t[1][a],0);o*e[a]<=t[1][a];++o)i.push({x:o*e[a],text:n(e[a],o)});for(var o=-1;o*e[a]>=t[0][a];--o)i.push({x:o*e[a],text:n(e[a],o)});r.push(i)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var a=t[r][n],i=e[r][n];if(a.x!==i.x||a.text!==i.text||a.font!==i.font||a.fontColor!==i.fontColor||a.fontSize!==i.fontSize||a.dx!==i.dx||a.dy!==i.dy)return!1}}return!0}},{}],243:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,m=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||i(f,p,m,x,y)).axis;o(u,p,f),o(u,m,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var k=n(s(u,u));s(u,u);for(var T=0;T<3;++T){var M=(T+1)%3,A=(T+2)%3,S=v;t:for(var w=0;w<2;++w){var E=[];if(b[T]<0!=!!w){S[T]=x[w][T];for(var L=0;L<2;++L){S[M]=x[L^w][M];for(var C=0;C<2;++C)S[A]=x[C^L^w][A],E.push(S.slice())}for(var P=y?5:4,L=P;L===P;++L){if(0===E.length)continue t;E=a.positive(E,k[L])}for(var L=0;L<E.length;++L)for(var A=E[L],O=d(v,u,A,r,l),C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,A[C]),_[C].hi=Math.max(_[C].hi,A[C]),C!==T&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}return _};var n=t(\"extract-frustum-planes\"),a=t(\"split-polygon\"),i=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,a){for(var i=0;i<3;++i){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[i]+=1,l(s,s,e),s[3]<0&&(t[i]=1/0),o[i]-=1,l(o,o,e),o[3]<0&&(t[i]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*a;t[i]=.25*Math.sqrt(u*u+h*h)}return t}var g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],v=[0,0,0]},{\"./lib/cube.js\":238,\"extract-frustum-planes\":227,\"gl-mat4/multiply\":270,\"gl-mat4/transpose\":279,\"gl-vec4/transformMat4\":400,\"split-polygon\":525}],244:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),a=t(\"ndarray-ops\"),i=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,a){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=a}var l=s.prototype;function c(t,e,r,n,a,i){var o=a.length*a.BYTES_PER_ELEMENT;if(i<0)return t.bufferData(e,a,n),o;if(o+i>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,i,a),r}function u(t,e){for(var r=n.malloc(t.length,e),a=t.length,i=0;i<a;++i)r[i]=t[i];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&\"undefined\"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=i(s,t.shape);a.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var h;h=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?h:h.subarray(0,t.length),e),n.free(h)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var a=t.createBuffer(),i=new s(t,r,a,0,n);return i.update(e),i}},{ndarray:451,\"ndarray-ops\":445,\"typedarray-pool\":543}],245:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,a=t.vectors,i={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),i;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,g=[],v=1/0,m=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),h=Math.min(x[2],h),f=Math.max(x[2],f);var b=a[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(v=Math.min(v,_),m=!1):m=!0}m||(p=x,d=b),g.push(b)}var w=[s,c,h],k=[l,u,f];e&&(e[0]=w,e[1]=k),0===o&&(o=1);var T=1/o;isFinite(v)||(v=1),i.vectorScale=v;var M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*T),i.coneScale=M;y=0;for(var A=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*T,O=0;O<8;O++){i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.positions.push([S,E,L,A++]),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vectors.push(C),i.vertexIntensity.push(P,P,P),i.vertexIntensity.push(P,P,P);var z=i.positions.length;i.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return i};var a=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:a,traceType:\"cone\"})}},{\"./create_mesh\":246,\"./lib/shaders\":247,\"gl-vec3\":348}],246:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,a,i,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=a,this.triangleVectors=i,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=h,this._view=h,this._projection=h,this._resolution=[1,1]}var p=f.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var a=e[n],i=0;i<3;++i)r[4*n+i]=a[i];r[4*n+3]=255*a[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,a=t.vectors;if(n&&r&&a){var i=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=a;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var v=0;v<p.length;++v){var m=p[v];d=Math.min(d,m),g=Math.max(g,m)}else for(v=0;v<n.length;++v){m=n[v][2];d=Math.min(d,m),g=Math.max(g,m)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(v=0;v<n.length;++v)for(var y=n[v],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(v=0;v<r.length;++v){var _=r[v];switch(_.length){case 3:for(x=0;x<3;++x){y=n[k=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var k;y=n[k=_[2-x]];i.push(y[0],y[1],y[2],y[3]);var T=a[k];o.push(T[0],T[1],T[2],T[3]||0);var M,A=f;3===A.length?s.push(A[0],A[1],A[2],1):s.push(A[0],A[1],A[2],A[3]),M=p?[(p[k]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(M[0],M[1]),h.push(v)}b+=1}}this.triangleCount=b,this.trianglePositions.update(i),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(h))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:a,inverseModel:h.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/f}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,a=t.projection||h,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:a,clipBounds:i,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),a={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?a.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(a.intensity=this.intensity[r[1]],a.velocity=this.vectors[r[1]].slice(0,3),a.divergence=this.vectors[r[1]][3],a.index=e),a},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),u=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=a(t),d=a(t),g=a(t),v=a(t),m=a(t),y=new f(t,h,l,u,p,d,m,g,v,i(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return y.update(e),y}},{colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:451}],247:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:410}],248:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34000:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},{}],249:[function(t,e,r){var 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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,a=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var i=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(a[3]*i+a[7]*s+a[11]*l+a[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var a=-1;a<=1;a+=2){var i=[0,0,0];i[(n+e)%3]=a,r.push(i)}t[e]=r}return t}();function h(t,e,r,n){for(var a=u[n],i=0;i<a.length;++i){var 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fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},{\"gl-shader\":304,glslify:410}],252:[function(t,e,r){\"use strict\";var n=t(\"gl-texture2d\");e.exports=function(t,e,r,n){a||(a=t.FRAMEBUFFER_UNSUPPORTED,i=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var a=new Array(r),i=0;i<n;++i)a[i]=t.COLOR_ATTACHMENT0+i;for(var i=n;i<r;++i)a[i]=t.NONE;l[n]=a}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if(\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var h=1;if(\"color\"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(h>1){if(!c)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+h+\" draw buffers\")}}var f=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&h>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;\"depth\"in n&&(g=!!n.depth);var v=!1;\"stencil\"in n&&(v=!!n.stencil);return new d(t,e,r,f,h,g,v,c)};var a,i,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case a:throw new Error(\"gl-fbo: Framebuffer unsupported\");case i:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,a,i,o){if(!a)return null;var s=n(t,e,r,i,a);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,a){var i=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,i),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,a,t.RENDERBUFFER,i),i}function d(t,e,r,n,a,i,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(a);for(var d=0;d<a;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=i,this._useStencil=o;var g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),a=t._shape[0],i=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m<o;++m)t.color[m]=f(r,a,i,v,r.RGBA,r.COLOR_ATTACHMENT0+m);0===o?(t._color_rb=p(r,a,i,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=f(r,a,i,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,a,i,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,a,i,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,a,i,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,a,i,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),m=0;m<t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function v(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,a=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var i=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,i),h(s)),u(n,i)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,v(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":324}],253:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,a=t(\"gl-constants/lookup\"),i=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=i(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===a.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));f[g]=d}}for(var v=o(e).split(\"\\n\"),p=0;p<v.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var m=v[p];if(c+=m+\"\\n\",f[p+1]){var y=f[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":64,\"gl-constants/lookup\":249,\"glsl-shader-name\":402,\"sprintf-js\":526}],254:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),a=o(r,l.pickVertex,l.pickFragment),i=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,a,i,u,h,f);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),a=t(\"iota-array\"),i=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,a,i,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=a,this.colorBuffer=i,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,h=c.prototype,f=[0,0,1,0,0,1,1,0,1,1,0,1];h.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var a=t.gl,i=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=i[2]-i[0],c=i[3]-i[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-i[0])/l-1,u[7]=2*(r[1]-i[1])/c-1,e.bind();var h=e.uniforms;h.viewTransform=u,h.shape=this.shape;var f=e.attributes;this.positionBuffer.bind(),f.position.pointer(),this.weightBuffer.bind(),f.weight.pointer(a.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(a.UNSIGNED_BYTE,!0),a.drawArrays(a.TRIANGLES,0,n)}}),h.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,a=this.pickShader,i=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=i[2]-i[0],u=i[3]-i[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(i[0]-l[0])/h-1,t[7]=2*(i[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,a.bind();var d=a.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=a.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,a=this.shape[0]*this.shape[1];if(r<n||r>=n+a)return null;var i=r-n,o=this.xData,s=this.yData;return{object:this,pointId:i,dataCoord:[o[i%this.shape[0]],s[i/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||a(e[0]),o=t.y||a(e[1]),s=t.z||new Float32Array(e[0]*e[1]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),v=1/((h[3]=o[o.length-1])-d),m=e[0],y=e[1];this.shape=[m,y];var x=(m-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=i.mallocUint8(4*x),_=i.mallocFloat32(2*x),w=i.mallocUint8(2*x),k=i.mallocUint32(x),T=0,M=0;M<y-1;++M)for(var A=v*(o[M]-d),S=v*(o[M+1]-d),E=0;E<m-1;++E)for(var L=g*(r[E]-p),C=g*(r[E+1]-p),P=0;P<f.length;P+=2){var O,z,I,D,R=f[P],F=f[P+1],B=s[(M+F)*m+(E+R)],N=n.le(l,B);if(N<0)O=c[0],z=c[1],I=c[2],D=c[3];else if(N===u-1)O=c[4*u-4],z=c[4*u-3],I=c[4*u-2],D=c[4*u-1];else{var j=(B-l[N])/(l[N+1]-l[N]),V=1-j,U=4*N,q=4*(N+1);O=V*c[U]+j*c[q],z=V*c[U+1]+j*c[q+1],I=V*c[U+2]+j*c[q+2],D=V*c[U+3]+j*c[q+3]}b[4*T]=255*O,b[4*T+1]=255*z,b[4*T+2]=255*I,b[4*T+3]=255*D,_[2*T]=.5*L+.5*C,_[2*T+1]=.5*A+.5*S,w[2*T]=R,w[2*T+1]=F,k[T]=M*m+E,T+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(k),i.free(_),i.free(b),i.free(w),i.free(k)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":255,\"binary-search-bounds\":256,\"gl-buffer\":244,\"gl-shader\":304,\"iota-array\":417,\"typedarray-pool\":543}],255:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:410}],256:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],257:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return a(t,i,o,null,l)},r.createPickShader=function(t){return a(t,i,s,null,l)}},{\"gl-shader\":304,glslify:410}],258:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=a(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=i(e,u);d.wrap=e.REPEAT;var g=new m(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),a=t(\"gl-vao\"),i=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var a=t[n]-e[n];r+=a*a}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function v(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function m(t,e,r,n,a,i){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=a,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=i,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=m.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var 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t[0]=x*n+b*s+_*h+w*g,t[1]=x*a+b*l+_*f+w*v,t[2]=x*i+b*c+_*p+w*m,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*a+b*l+_*f+w*v,t[6]=x*i+b*c+_*p+w*m,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*a+b*l+_*f+w*v,t[10]=x*i+b*c+_*p+w*m,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*a+b*l+_*f+w*v,t[14]=x*i+b*c+_*p+w*m,t[15]=x*o+b*u+_*d+w*y,t}},{}],271:[function(t,e,r){e.exports=function(t,e,r,n,a,i,o){var s=1/(e-r),l=1/(n-a),c=1/(i-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(a+n)*l,t[14]=(o+i)*c,t[15]=1,t}},{}],272:[function(t,e,r){e.exports=function(t,e,r,n,a){var i=1/Math.tan(e/2),o=1/(n-a);return t[0]=i/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=i,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(a+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*a*n*o,t[15]=0,t}},{}],273:[function(t,e,r){e.exports=function(t,e,r,n){var 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t[4]=i*a+c*n,t[5]=o*a+u*n,t[6]=s*a+h*n,t[7]=l*a+f*n,t[8]=c*a-i*n,t[9]=u*a-o*n,t[10]=h*a-s*n,t[11]=f*a-l*n,t}},{}],275:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a-c*n,t[1]=o*a-u*n,t[2]=s*a-h*n,t[3]=l*a-f*n,t[8]=i*n+c*a,t[9]=o*n+u*a,t[10]=s*n+h*a,t[11]=l*n+f*a,t}},{}],276:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),a=Math.cos(r),i=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=i*a+c*n,t[1]=o*a+u*n,t[2]=s*a+h*n,t[3]=l*a+f*n,t[4]=c*a-i*n,t[5]=u*a-o*n,t[6]=h*a-s*n,t[7]=f*a-l*n,t}},{}],277:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],a=r[1],i=r[2];return 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t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],280:[function(t,e,r){\"use strict\";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:a(t,e);break;case 16:i(t,e);break;default:throw new Error(\"currently supports matrices up to 4x4\")}return t};var n=t(\"gl-mat2/invert\"),a=t(\"gl-mat3/invert\"),i=t(\"gl-mat4/invert\")},{\"gl-mat2/invert\":260,\"gl-mat3/invert\":261,\"gl-mat4/invert\":268}],281:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),a=t(\"polytope-closest-point/lib/closest_point_2d.js\");function i(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var a=0;a<4;++a)r[a]+=t[4*n+a]*e[n];return r}function o(t,e,r,n,a){for(var o=i(n,i(r,i(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*a[0]*(1+o[0]),.5*a[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var a=t[n],i=e[n],o=0;o<3;++o)r[o]+=i*a[o];return r}e.exports=function(t,e,r,i,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),h=0;h<t.length;++h)u[h]=o(t[h],r,i,l,c);for(var f=0,p=1/0,h=0;h<u.length;++h){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[h][g]-e[g],2);d<p&&(p=d,f=h)}for(var v=function(t,e){if(2===t.length){for(var r=0,i=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),i+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),i=Math.sqrt(i),r+i<1e-6?[1,0]:[i/(r+i),r/(i+r)]}if(3===t.length){var s=[0,0];return a(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),m=0,h=0;h<3;++h){if(v[h]<-.001||v[h]>1.0001)return null;m+=v[h]}if(Math.abs(m-1)>.001)return null;return[f,s(t,v),v]}},{barycentric:75,\"polytope-closest-point/lib/closest_point_2d.js\":482}],282:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:410}],283:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),h=t(\"colormap\"),f=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),v=d.meshShader,m=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,k,T,M,A,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=a,this.pickShader=i,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=k,this.pointSizes=T,this.pointIds=b,this.pointVAO=M,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=A,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var T=k.prototype;function M(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function A(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}T.isOpaque=function(){return!this.hasAlpha},T.isTransparent=function(){return this.hasAlpha},T.pickSlots=1,T.setPickBase=function(t){this.pickId=t},T.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,a=e.vertexWeights,i=r.length,o=p.mallocFloat32(6*i),s=0,l=0;l<i;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],g=n[h][1],v=a[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},T.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),a=0;a<256;++a){for(var i=r[a],o=0;o<3;++o)n[4*a+o]=i[o];n[4*a+3]=e?255*M(a/255,e):255*i[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var a=[],i=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,k=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,A=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(r,n,A)),k||w||(w=s.vertexNormals(r,n,T));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,z=t.cellIntensity,I=1/0,D=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];I=Math.min(I,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)I=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R){F=z[R];I=Math.min(I,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];I=Math.min(I,F),D=Math.max(D,F)}this.intensity=P||(z||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(z||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],V=0;V<3;++V)!isNaN(j[V])&&isFinite(j[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],j[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],j[V]));var U=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],V=0;V<3;++V)if(isNaN(j[V])||!isFinite(j[V]))continue t;m.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(V=0;V<2;++V){j=n[W=G[V]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(V=0;V<2;++V){j=n[W=G[V]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],g.push(Z[0],Z[1]),v.push(R)}q+=1;break;case 3:for(V=0;V<3;++V)for(j=n[W=G[V]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(V=0;V<3;++V){var W,X,Z,J;j=n[W=G[2-V]];a.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?i.push(X[0],X[1],X[2],this.opacity*M((P[W]-I)/(D-I),this.opacityscale)):3===X.length?i.push(X[0],X[1],X[2],this.opacity):(i.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):i.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],c.push(Z[0],Z[1]),J=w?w[W]:k[R],l.push(J[0],J[1],J[2]),f.push(R)}U+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=U,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(a),this.triangleColors.update(i),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},T.drawTransparent=T.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:a,inverseModel:w.slice(),clipBounds:i,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},T.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,a=t.projection||w,i=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)i[0][o]=Math.max(i[0][o],this.clipBounds[0][o]),i[1][o]=Math.min(i[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(a),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:a,clipBounds:i,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},T.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,a=new Array(r.length),i=0;i<r.length;++i)a[i]=n[r[i]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],h=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:h}}var f=g(a,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!f)return null;var p=f[2],d=0;for(i=0;i<r.length;++i)d+=p[i]*this.intensity[r[i]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},T.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=A(t),c=S(t),h=E(t),f=L(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=a(t),g=a(t),y=a(t),x=a(t),b=a(t),_=i(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=a(t),T=a(t),M=a(t),C=a(t),P=i(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:M,type:t.FLOAT,size:2}]),O=a(t),z=a(t),I=a(t),D=a(t),R=a(t),F=i(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:I,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=a(t),N=new k(t,p,r,s,l,c,h,f,d,b,g,y,x,_,w,C,T,M,P,O,R,z,I,D,F,B,i(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},{\"./lib/closest-point\":281,\"./lib/shaders\":282,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-shader\":304,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:451,normals:454,\"simplicial-complex-contour\":516,\"typedarray-pool\":543}],284:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=a(e,i.boxVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,a){var i=this.plot,o=this.shader,c=i.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],285:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,o.gridVert,o.gridFrag),l=a(e,o.tickVert,o.gridFrag);return new s(t,r,i,l)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,a=t.gl,i=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var v=i[g],m=i[g+2]-v,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*m/x,c[g]=2*(v-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&a.drawArrays(a.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],a=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],x=m[3]-m[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var k=p[w],T=p[w+2]-k,M=.5*(d[w+2]+d[w]),A=d[w+2]-d[w];e[w]=2*T/A,t[w]=2*(k-M)/A}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*h[0].length,O=Math.min(i.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(i.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),I=0+6*O,D=6*Math.max(0,z-O),R=Math.min(i.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(i.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=P+6*R,N=6*Math.max(0,F-R);a[0]=2*(g[0]-E[1])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[1]*v/y,o[1]=L[1]*v/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*v/y,o[1]=E[0]*v/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D)),a[0]=2*(g[2]+E[3])/y-1,a[1]=(g[3]+g[1])/x-1,o[0]=E[3]*v/y,o[1]=L[3]*v/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=a,f.drawArrays(f.TRIANGLES,B,N)),a[0]=(g[2]+g[0])/y-1,a[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*v/y,o[1]=E[2]*v/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=a,f.drawArrays(f.TRIANGLES,I,D))}}(),d.update=(f=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),a=(this.plot.zeroLineEnable,0),i=[[],[]],o=0;o<2;++o)for(var s=i[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[a++]=d,n[a++]=f[g],n[a++]=p[g]}this.ticks=i,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304}],286:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=a(e,i.lineVert,i.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,a,i){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=a*o.pixelRatio,c.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"gl-buffer\":244,\"gl-shader\":304}],287:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:a,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:a,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:a,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:410}],288:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),i=a(e,s.textVert,s.textFrag);return new l(t,r,i)};var n=t(\"gl-buffer\"),a=t(\"gl-shader\"),i=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],a=this.tickOffset[t],i=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,v=e.tickColor,m=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],T=o.lt(n,l[t]),M=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var A=2/f[2+(1^t)]-f[1^t];u[1^t]=A*s[1^t]-1,d[t]&&(u[1^t]-=A*p*g[t],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t],r.uniforms.angle=m[t],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t]&&k&&(u[1^t]-=A*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],i.drawArrays(i.TRIANGLES,w,k)),u[1^t]=A*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=A*p*g[t+2],T<M&&a[M]>a[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t+2],r.uniforms.angle=m[t+2],i.drawArrays(i.TRIANGLES,a[T],a[M]-a[T]))),y[t+2]&&k&&(u[1^t]+=A*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],i.drawArrays(i.TRIANGLES,w,k))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,a=r.gl,i=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-i[u])/(i[2+u]-i[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,a.drawArrays(a.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,a=t.screenBox,i=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=i[o],g=i[o+2]-h,v=a[o],m=a[o+2]-v;p[o]=2*l/u*g/m,f[o]=2*(s-c)/u*g/m}d[1]=2*t.pixelRatio/(a[3]-a[1]),d[0]=d[1]*(a[3]-a[1])/(a[2]-a[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,a,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,g=p.text,v=p.font||\"sans-serif\";a=p.fontSize||12;for(var m=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=i(v,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*a,-n[r+1]*a-b*a*1.2,(d-y)*m);u.push(Math.floor(s.length/3)),h.push(d)}this.tickOffset[o]=u,this.tickX[o]=h}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=i(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,a=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=i(t.titleFont,t.title).data,a=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*a,-n[e+1]*a,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":287,\"binary-search-bounds\":289,\"gl-buffer\":244,\"gl-shader\":304,\"text-cache\":534}],289:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],290:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=a(c),c.text=i(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),a=t(\"./lib/grid\"),i=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,a=this.pixelRatio,i=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),i.draw();var h=this.zeroLineEnable,f=this.zeroLineColor,p=this.zeroLineWidth;if(h[0]||h[1]){o.bind();for(var d=0;d<2;++d)if(h[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var v=this.borderLineEnable,m=this.borderLineWidth,y=this.borderLineColor;for(v[1]&&o.drawLine(r[0],r[1]-.5*m[1]*a,r[0],r[3]+.5*m[3]*a,m[1],y[1]),v[0]&&o.drawLine(r[0]-.5*m[0]*a,r[1],r[2]+.5*m[2]*a,r[1],m[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*m[1]*a,r[2],r[3]+.5*m[3]*a,m[3],y[3]),v[2]&&o.drawLine(r[0]-.5*m[0]*a,r[3],r[2]+.5*m[2]*a,r[3],m[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,a=this.viewBox,i=0|Math.round((t-a[0]/r)*n),o=0|Math.round((e-a[1]/r)*n),s=this.pickBuffer.query(i,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(i,o,l);if(h)return h}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,a=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/a,10,10/a]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t&&!t.titleEnable),this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var i=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=i[s].slice(0);0!==l.length&&(l.sort(h),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:i}),this.text.update({bounds:o,ticks:i,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":284,\"./lib/grid\":285,\"./lib/line\":286,\"./lib/text\":288,\"gl-select-static\":303}],291:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=a({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],h=0,f=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,a=e-2*r;c.idle(e-r),c.recalcMatrix(a),c.flush(e-(100+2*r));for(var i=!0,o=c.computedMatrix,s=0;s<16;++s)i=i&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,i?!l:(h=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),a=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var i=n();c._active.lookAt(i,r,a,e),c._active.lookAt(i+500,r,a,[0,0,1]),c._active.flush(i)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return h},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",function(t){return t.preventDefault(),!1}),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,a,i){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!i.control,p=!!i.alt,g=!!i.shift,v=!!(1&e),m=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(a-d._lastY),w=d.flipX?1:-1,k=d.flipY?1:-1,T=Math.PI*d.rotateSpeed,M=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&v&&!f&&!p&&!g||v&&!f&&!p&&g)&&c.rotate(M,w*T*b,-k*T*_,0),(l&&v&&!f&&!p&&!g||m||v&&f&&!p&&!g)&&c.pan(M,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&v&&!f&&!p&&!g||y||v&&!f&&p&&!g)){var A=-d.zoomSpeed*_/window.innerHeight*(M-c.lastT())*100;c.pan(M,0,0,h*(Math.exp(A)-1))}return d._lastX=r,d._lastY=a,d._lastMods=i,!0}}d.mouseListener=i(t,e),t.addEventListener(\"touchstart\",function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener(\"touchmove\",function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener(\"touchend\",function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()},!!l&&{passive:!1}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,a=d.flipY?1:-1,i=n();if(Math.abs(t)>Math.abs(e))c.rotate(i,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*a*e/window.innerHeight*(i-c.lastT())/20;c.pan(i,0,0,h*(Math.exp(o)-1))}}},!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),a=t(\"3d-view\"),i=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":54,\"has-passive-events\":412,\"mouse-change\":436,\"mouse-event-offset\":437,\"mouse-wheel\":439,\"right-now\":502}],292:[function(t,e,r){var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return a(t,i,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":304,glslify:410}],293:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),a=t(\"gl-axes3d\"),i=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),h=t(\"gl-mat4/perspective\"),f=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function v(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function m(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement(\"canvas\"),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var y=t.gl;y||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),y=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!y)throw new Error(\"webgl not supported\");var x=t.bounds||[[-10,-10,-10],[10,10,10]],b=new g,_=l(y,y.drawingBufferWidth,y.drawingBufferHeight,{preferFloat:!d}),w=p(y),k=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:k},M=t.axes||{},A=a(y,M);A.enable=!M.disable;var S=t.spikes||{},E=o(y,S),L=[],C=[],P=[],O=[],z=!0,I=!0,D=new Array(16),R=new Array(16),F={view:null,projection:D,model:R,_ortho:!1},I=!0,B=[y.drawingBufferWidth,y.drawingBufferHeight],N=t.cameraObject||n(e,T),j={gl:y,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:b,camera:N,axes:A,axesPixels:null,spikes:E,bounds:x,objects:L,shape:B,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:m(t.autoResize),autoBounds:m(t.autoBounds),autoScale:!!t.autoScale,autoCenter:m(t.autoCenter),clipToBounds:m(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:F,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},V=[y.drawingBufferWidth/j.pixelRatio|0,y.drawingBufferHeight/j.pixelRatio|0];function U(){if(!j._stopped&&j.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var a=0|Math.ceil(r*j.pixelRatio),i=0|Math.ceil(n*j.pixelRatio);if(a!==e.width||i!==e.height){e.width=a,e.height=i;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",z=!0}}}j.autoResize&&U();function q(){for(var t=L.length,e=O.length,r=0;r<e;++r)P[r]=0;t:for(var r=0;r<t;++r){var n=L[r],a=n.pickSlots;if(a){for(var i=0;i<e;++i)if(P[i]+a<255){C[r]=i,n.setPickBase(P[i]+1),P[i]+=a;continue t}var o=s(y,B);C[r]=e,O.push(o),P.push(a),n.setPickBase(1),e+=1}else C[r]=-1}for(;e>0&&0===P[e-1];)P.pop(),O.pop().dispose()}function H(){if(j.contextLost)return!0;y.isContextLost()&&(j.contextLost=!0,j.mouseListener.enabled=!1,j.selection.object=null,j.oncontextloss&&j.oncontextloss())}window.addEventListener(\"resize\",U),j.update=function(t){j._stopped||(t=t||{},z=!0,I=!0)},j.add=function(t){j._stopped||(t.axes=A,L.push(t),C.push(-1),z=!0,I=!0,q())},j.remove=function(t){if(!j._stopped){var e=L.indexOf(t);e<0||(L.splice(e,1),C.pop(),z=!0,I=!0,q())}},j.dispose=function(){if(!j._stopped&&(j._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),j.mouseListener.enabled=!1,!j.contextLost)){A.dispose(),E.dispose();for(var t=0;t<L.length;++t)L[t].dispose();_.dispose();for(var t=0;t<O.length;++t)O[t].dispose();w.dispose(),y=null,A=null,E=null,L=[]}},j._mouseRotating=!1,j._prevButtons=0,j.enableMouseListeners=function(){j.mouseListener=u(e,function(t,e,r){if(!j._stopped){var n=O.length,a=L.length,i=b.object;b.distance=1/0,b.mouse[0]=e,b.mouse[1]=r,b.object=null,b.screen=null,b.dataCoordinate=b.dataPosition=null;var o=!1;if(t&&j._prevButtons)j._mouseRotating=!0;else{j._mouseRotating&&(I=!0),j._mouseRotating=!1;for(var s=0;s<n;++s){var l=O[s].query(e,V[1]-r-1,j.pickRadius);if(l){if(l.distance>b.distance)continue;for(var c=0;c<a;++c){var u=L[c];if(C[c]===s){var h=u.pick(l);h&&(b.buttons=t,b.screen=l.coord,b.distance=l.distance,b.object=u,b.index=h.distance,b.dataPosition=h.position,b.dataCoordinate=h.dataCoordinate,b.data=h,o=!0)}}}}}i&&i!==b.object&&(i.highlight&&i.highlight(null),z=!0),b.object&&(b.object.highlight&&b.object.highlight(b.data),z=!0),(o=o||b.object!==i)&&j.onselect&&j.onselect(b),1&t&&!(1&j._prevButtons)&&j.onclick&&j.onclick(b),j._prevButtons=t}})},e.addEventListener(\"webglcontextlost\",H);var G=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],Y=[G[0].slice(),G[1].slice()];function W(){if(!H()){U();var t=j.camera.tick();F.view=j.camera.matrix,z=z||t,I=I||t,A.pixelRatio=j.pixelRatio,E.pixelRatio=j.pixelRatio;var e=L.length,r=G[0],n=G[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var a=0;a<e;++a){var o=L[a];o.pixelRatio=j.pixelRatio,o.axes=j.axes,z=z||!!o.dirty,I=I||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)r[p]=Math.min(r[p],l[p]),n[p]=Math.max(n[p],u[p])}var d=j.bounds;if(j.autoBounds)for(var p=0;p<3;++p){if(n[p]<r[p])r[p]=-1,n[p]=1;else{r[p]===n[p]&&(r[p]-=1,n[p]+=1);var g=.05*(n[p]-r[p]);r[p]=r[p]-g,n[p]=n[p]+g}d[0][p]=r[p],d[1][p]=n[p]}for(var m=!1,p=0;p<3;++p)m=m||Y[0][p]!==d[0][p]||Y[1][p]!==d[1][p],Y[0][p]=d[0][p],Y[1][p]=d[1][p];if(I=I||m,z=z||m){if(m){for(var x=[0,0,0],a=0;a<3;++a)x[a]=v((d[1][a]-d[0][a])/10);A.autoTicks?A.update({bounds:d,tickSpacing:x}):A.update({bounds:d})}var T=y.drawingBufferWidth,M=y.drawingBufferHeight;B[0]=T,B[1]=M,V[0]=0|Math.max(T/j.pixelRatio,1),V[1]=0|Math.max(M/j.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,a=n.projection,i=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(a,-p,p,-1,1,l,c),n._ortho=!0):(h(a,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)i[d]=0;i[15]=1;for(var g=0,d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(var d=0;d<3;++d)t.autoScale?i[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):i[5*d]=1/g,t.autoCenter&&(i[12+d]=.5*-i[5*d]*(r[0][d]+r[1][d]))}(j,k);for(var a=0;a<e;++a){var o=L[a];o.axesBounds=d,j.clipToBounds&&(o.clipBounds=d)}b.object&&(j.snapToData?E.position=b.dataCoordinate:E.position=b.dataPosition,E.bounds=d),I&&(I=!1,function(){if(H())return;y.colorMask(!0,!0,!0,!0),y.depthMask(!0),y.disable(y.BLEND),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL);for(var t=L.length,e=O.length,r=0;r<e;++r){var n=O[r];n.shape=V,n.begin();for(var a=0;a<t;++a)if(C[a]===r){var i=L[a];i.drawPick&&(i.pixelRatio=1,i.drawPick(F))}n.end()}}()),j.axesPixels=i(j.axes,F,T,M),j.onrender&&j.onrender(),y.bindFramebuffer(y.FRAMEBUFFER,null),y.viewport(0,0,T,M),j.clearRGBA(),y.depthMask(!0),y.colorMask(!0,!0,!0,!0),y.enable(y.DEPTH_TEST),y.depthFunc(y.LEQUAL),y.disable(y.BLEND),y.disable(y.CULL_FACE);var S=!1;A.enable&&(S=S||A.isTransparent(),A.draw(F)),E.axes=A,b.object&&E.draw(F),y.disable(y.CULL_FACE);for(var a=0;a<e;++a){var o=L[a];o.axes=A,o.pixelRatio=j.pixelRatio,o.isOpaque&&o.isOpaque()&&o.draw(F),o.isTransparent&&o.isTransparent()&&(S=!0)}if(S){_.shape=B,_.bind(),y.clear(y.DEPTH_BUFFER_BIT),y.colorMask(!1,!1,!1,!1),y.depthMask(!0),y.depthFunc(y.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isOpaque&&o.isOpaque()&&o.draw(F)}y.enable(y.BLEND),y.blendEquation(y.FUNC_ADD),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.colorMask(!0,!0,!0,!0),y.depthMask(!1),y.clearColor(0,0,0,0),y.clear(y.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(F);for(var a=0;a<e;++a){var o=L[a];o.isTransparent&&o.isTransparent()&&o.drawTransparent(F)}y.bindFramebuffer(y.FRAMEBUFFER,null),y.blendFunc(y.ONE,y.ONE_MINUS_SRC_ALPHA),y.disable(y.DEPTH_TEST),w.bind(),_.color[0].bind(0),w.uniforms.accumBuffer=0,c(y),y.disable(y.BLEND)}z=!1;for(var a=0;a<e;++a)L[a].dirty=!1}}}return j.enableMouseListeners(),function t(){j._stopped||j.contextLost||(W(),requestAnimationFrame(t))}(),j.redraw=function(){j._stopped||(z=!0,W())},j},createCamera:n}},{\"./camera.js\":291,\"./lib/shader\":292,\"a-big-triangle\":62,\"gl-axes3d\":236,\"gl-axes3d/properties\":243,\"gl-fbo\":252,\"gl-mat4/ortho\":271,\"gl-mat4/perspective\":272,\"gl-select-static\":303,\"gl-spikes3d\":313,\"is-mobile\":421,\"mouse-change\":436}],294:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:410}],295:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,a){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=a,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,i=a(r),l=a(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,i,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,a=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=a?s:i.mallocFloat32(s.length),c=o?t.idToIndex:i.mallocInt32(n);if(a||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),a||i.free(l),o||i.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,a=this.plot.dataBox;if(0===this.pointCount)return t;var i=a[2]-a[0],o=a[3]-a[1],s=function(t,e){var r,n=0,a=t.length>>>1;for(r=0;r<a;r++){var i=t[2*r],o=t[2*r+1];i>=e[0]&&i<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,a),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/i,l[4]=2/o,l[6]=-2*a[0]/i-1,l[7]=-2*a[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var h=n.getParameter(n.BLEND),f=n.getParameter(n.DITHER);return h&&!this.blend&&n.disable(n.BLEND),f&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),h&&!this.blend&&n.enable(n.BLEND),f&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,a=this.pointCount;if(r<n||r>=n+a)return null;var i=r-n,o=this.points;return{object:this,pointId:i,dataCoord:[o[2*i],o[2*i+1]]}}},{\"./lib/shader\":294,\"gl-buffer\":244,\"gl-shader\":304,\"typedarray-pool\":543}],296:[function(t,e,r){e.exports=function(t,e,r,n){var a,i,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],g=r[2],v=r[3];(i=c*p+u*d+h*g+f*v)<0&&(i=-i,p=-p,d=-d,g=-g,v=-v);1-i>1e-6?(a=Math.acos(i),o=Math.sin(a),s=Math.sin((1-n)*a)/o,l=Math.sin(n*a)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*v,t}},{}],297:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],298:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var i=a[e];i||(i=a[e]={});if(t in i)return i[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return i[t]=[s,u,h]};var a={}},{\"vectorize-text\":548}],299:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:i,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:i,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};function m(t,e){var r=n(t,e),a=r.attributes;return a.position.location=0,a.color.location=1,a.glyph.location=2,a.id.location=3,r}r.createPerspective=function(t){return m(t,h)},r.createOrtho=function(t){return m(t,f)},r.createProject=function(t){return m(t,p)},r.createPickPerspective=function(t){return m(t,d)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{\"gl-shader\":304,glslify:410}],300:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],a=t[2],i=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*a+e[12]*i,t[1]=e[1]*r+e[5]*n+e[9]*a+e[13]*i,t[2]=e[2]*r+e[6]*n+e[10]*a+e[14]*i,t[3]=e[3]*r+e[7]*n+e[11]*a+e[15]*i,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t>1?1:t}function v(t,e,r,n,a,i,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=a,this.colorBuffer=i,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=a(e),f=a(e),p=a(e),d=a(e),g=i(e,[{buffer:h,size:3,type:e.FLOAT},{buffer:f,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),m=new v(e,r,n,o,h,f,p,d,g,s,c,u);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],k=h.slice(),T=[0,0,0],M=[[0,0,0],[0,0,0]];function A(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var a,i=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,d=e.axesBounds,g=function(t){for(var e=M,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);a=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(i[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=k,L=0;L<16;++L)m[L]=0;for(L=0;L<4;++L)m[5*L]=1;m[5*v]=0,a[v]<0?m[12+v]=d[0][v]:m[12+v]=d[1][v],s(m,c,m),l.model=m;var C=(v+1)%3,P=(v+2)%3,O=A(x),z=A(b);O[C]=1,z[P]=1;var I=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,z));if(Math.abs(I[1])>Math.abs(D[1])){var R=I;I=D,D=R,R=O,O=z,z=R;var F=C;C=P,P=F}I[0]<0&&(O[C]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);O[C]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=z,l.fragClipBounds[0]=E(T,g[0],v,-1e8),l.fragClipBounds[1]=E(T,g[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,a,i,o){var s=r.gl;if((i===r.projectHasAlpha||o)&&L(e,r,n,a),i===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=a,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*a),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,a){var i;i=Array.isArray(t)?e<t.length?t[e]:void 0:t,i=u(i);var o=!0;n(i)&&(i=\"\\u25bc\",o=!1);var s=c(i,r,a);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var a=0;a<3;++a)n.position[a]=n.dataCoordinate[a]=r[a];return n},m.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,a=e>>16&255;this.highlightId=[r/255,n/255,a/255,0]}else this.highlightId=[1,1,1,1]},m.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var a,i,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)a=c[0],i=c[1];else{a=[],i=[];for(n=0;n<c.length;++n)a[n]=c[n][0],i[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,v=t.angle,m=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],k=0;k<3;++k)if(isNaN(w[k])||!isFinite(w[k]))continue t;var T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;x+=3*T.cells.length,b+=2*M.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,I=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(m)&&Array.isArray(m[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],k=0;k<3;++k){if(isNaN(w[k])||!isFinite(w[k]))continue t;h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k])}T=(N=O(f,n,l,this.pixelRatio)).mesh,M=N.lines,A=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(V=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)D[k]=V[k];D[3]=1}else if(4===V.length){for(k=0;k<4;++k)D[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(m)){var V;if(3===(V=B?n<m.length?m[n]:[0,0,0,0]:m).length){for(k=0;k<3;++k)R[k]=V[k];R[k]=1}else if(4===V.length){for(k=0;k<4;++k)R[k]=V[k];!this.hasAlpha&&V[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var U=.5;j?Array.isArray(d)?U=n<d.length?+d[n]:12:d?U=+d:this.useOrtho&&(U=12):U=0;var q=0;Array.isArray(v)?q=n<v.length?+v[n]:0:v&&(q=+v);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],k=0;k<3;++k)h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k]);var Y=a,W=i;Y=0;Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);W=0;Array.isArray(i)?W=n<i.length?i[n]:0:i&&(W=i);var X=[Y*=Y>0?1-A[0][0]:Y<0?1+A[1][0]:1,W*=W>0?1-A[0][1]:W<0?1+A[1][1]:1],Z=T.cells||[],J=T.positions||[];for(k=0;k<Z.length;++k)for(var K=Z[k],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=D[$];P[z]=y;var tt=J[K[Q]];C[2*z]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=U*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=M.edges,J=M.positions,k=0;k<Z.length;++k)for(K=Z[k],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*I+$]=w[$];for($=0;$<4;++$)L[4*I+$]=R[$];P[I]=y;tt=J[K[Q]];C[2*I]=U*(H*tt[0]-G*tt[1]+X[0]),C[2*I+1]=U*(G*tt[0]+H*tt[1]+X[1]),I+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},m.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":297,\"./lib/glyphs\":298,\"./lib/shaders\":299,\"gl-buffer\":244,\"gl-mat4/multiply\":270,\"gl-vao\":329,\"is-string-blank\":424,\"typedarray-pool\":543}],301:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:410}],302:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),a=t(\"gl-buffer\"),i=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=a(r,[0,0,0,1,1,0,1,1]),l=n(r,i.boxVertex,i.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),a=(this.outerFill,this.outerColor),i=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,a),o.drawBox(0,f,h,d,a),o.drawBox(0,d,g,v,a),o.drawBox(p,f,g,d,a)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var m=r*u;o.drawBox(h-m,f-m,p+m,f+m,i),o.drawBox(h-m,d-m,p+m,d+m,i),o.drawBox(h-m,f-m,h+m,d+m,i),o.drawBox(p-m,f-m,p+m,d+m,i)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":301,\"gl-buffer\":244,\"gl-shader\":304}],303:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],i=e[1],o=n(t,r,i,{}),s=a.mallocUint8(r*i*4);return new c(t,o,s)};var n=t(\"gl-fbo\"),a=t(\"typedarray-pool\"),i=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2,s=t(\"cwise/lib/wrapper\")({args:[\"array\",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},\"scalar\",\"scalar\",\"index\"],pre:{body:\"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},body:{body:\"{if(_inline_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var _inline_16_l=_inline_16_arg4_-_inline_16_arg6_[0],_inline_16_a=_inline_16_arg5_-_inline_16_arg6_[1],_inline_16_f=_inline_16_l*_inline_16_l+_inline_16_a*_inline_16_a;_inline_16_f<this_closestD2&&(this_closestD2=_inline_16_f,this_closestX=_inline_16_arg6_[0],this_closestY=_inline_16_arg6_[1])}}\",args:[{name:\"_inline_16_arg0_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg1_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg2_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg3_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg4_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg5_\",lvalue:!1,rvalue:!0,count:1},{name:\"_inline_16_arg6_\",lvalue:!1,rvalue:!0,count:4}],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[\"_inline_16_a\",\"_inline_16_f\",\"_inline_16_l\"]},post:{body:\"{return[this_closestX,this_closestY,this_closestD2]}\",args:[],thisVars:[\"this_closestD2\",\"this_closestX\",\"this_closestY\"],localVars:[]},debug:!1,funcName:\"cwise\",blockSize:64});function l(t,e,r,n,a){this.coord=[t,e],this.id=r,this.value=n,this.distance=a}function c(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=c.prototype;Object.defineProperty(u,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){a.free(this.buffer);for(var n=this.buffer=a.mallocUint8(o(r*e*4)),i=0;i<r*e*4;++i)n[i]=255}return t}}}),u.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},u.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},u.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var a=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),c=0|Math.min(Math.max(e-r,0),n[1]),u=0|Math.min(Math.max(e+r,0),n[1]);if(o<=a||u<=c)return null;var h=[o-a,u-c],f=i(this.buffer,[h[0],h[1],4],[4,4*n[0],1],4*(a+n[0]*c)),p=s(f.hi(h[0],h[1],1),r,r),d=p[0],g=p[1];return d<0||Math.pow(this.radius,2)<p[2]?null:new l(d+a|0,g+c|0,f.get(d,g,0),[f.get(d,g,1),f.get(d,g,2),f.get(d,g,3)],Math.sqrt(p[2]))},u.dispose=function(){this.gl&&(this.fbo.dispose(),a.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":94,\"cwise/lib/wrapper\":151,\"gl-fbo\":252,ndarray:451,\"typedarray-pool\":543}],304:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),a=t(\"./lib/create-attributes\"),i=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function 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i=0;i<r.length;++i){var o=r[i];a[t[o]]=n[o]}}return a[e]}},{}],310:[function(t,e,r){\"use strict\";r.shader=function(t,e,r){return u(t).getShaderReference(e,r)},r.program=function(t,e,r,n,a){return u(t).getProgram(e,r,n,a)};var n=t(\"./GLError\"),a=t(\"gl-format-compiler-error\"),i=new(\"undefined\"==typeof WeakMap?t(\"weakmap-shim\"):WeakMap),o=0;function s(t,e,r,n,a,i,o){this.id=t,this.src=e,this.type=r,this.shader=n,this.count=i,this.programs=[],this.cache=o}function l(t){this.gl=t,this.shaders=[{},{}],this.programs={}}s.prototype.dispose=function(){if(0==--this.count){for(var t=this.cache,e=t.gl,r=this.programs,n=0,a=r.length;n<a;++n){var i=t.programs[r[n]];i&&(delete t.programs[n],e.deleteProgram(i))}e.deleteShader(this.shader),delete t.shaders[this.type===e.FRAGMENT_SHADER|0][this.src]}};var c=l.prototype;function u(t){var e=i.get(t);return e||(e=new l(t),i.set(t,e)),e}c.getShaderReference=function(t,e){var 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l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&i.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&i.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&i.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&i.drawLine(l,c,l,s[3],e[3],r[3])}},a.dispose=function(){this.plot.removeOverlay(this)}},{}],312:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=t(\"gl-shader\"),i=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * 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l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var a,i=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(a=this.axes.lastCubeProps.axis);for(var f=c,p=u,d=0;d<3;++d)a&&a[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=i,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":312,\"gl-buffer\":244,\"gl-vao\":329}],314:[function(t,e,r){var n=t(\"glslify\"),a=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),i=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:a,fragment:i,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:410}],315:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),a=t(\"gl-vec4\"),i=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,i){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map(function(t){return function(t,e,r,i){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],g=0,v=0,m=a.create(),y=a.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),v=n.length(_)/i,m=a.create(),n.copy(m,_),m[3]=w;for(var k=0;k<8;k++)p[k]=[b[0],b[1],b[2],k];if(f.length>0)for(k=0;k<8;k++){var T=(k+1)%8;c.push(f[k],p[k],p[T],p[T],f[T],f[k]),h.push(y,m,m,m,y,y),d.push(g,v,v,v,g,g);var M=c.length;u.push([M-6,M-5,M-4],[M-3,M-2,M-1])}var A=f;f=p,p=A;var S=y;y=m,m=S;var E=g;g=v,v=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,i,o)}),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],v=h.length;h=h.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var m=g.cells[c],y=[];f.push(y);for(var x=0;x<m.length;x++)y.push(m[x]+v)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var a=t[r];if(a===e)return r;if(a>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=t.length,n=1;n<r;n++){var a=Math.abs(t[n]-t[n-1]);a<e&&(e=a)}return e};e.exports=function(t,e){var r=t.startingPositions,a=t.maxLength||1e3,u=t.tubeSize||1,h=t.absoluteTubeSize,f=t.gridFill||\"+x+y+z\",p={};-1!==f.indexOf(\"-x\")&&(p.reversedX=!0),-1!==f.indexOf(\"-y\")&&(p.reversedY=!0),-1!==f.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=i.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var a=e.vectors,i=e.meshgrid,o=t[0],c=t[1],u=t[2],h=i[0].length,f=i[1].length,p=i[2].length,d=s(i[0],o),g=s(i[1],c),v=s(i[2],u),m=d+1,y=g+1,x=v+1;if(d=l(d,0,h-1),m=l(m,0,h-1),g=l(g,0,f-1),y=l(y,0,f-1),v=l(v,0,p-1),x=l(x,0,p-1),d<0||g<0||v<0||m>h-1||y>f-1||x>p-1)return n.create();var b,_,w,k,T,M,A=i[0][d],S=i[0][m],E=i[1][g],L=i[1][y],C=i[2][v],P=(o-A)/(S-A),O=(c-E)/(L-E),z=(u-C)/(i[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,m=h-1-m),r.reversedY&&(g=f-1-g,y=f-1-y),r.reversedZ&&(v=p-1-v,x=p-1-x),r.filled){case 5:T=v,M=x,w=g*p,k=y*p,b=d*p*f,_=m*p*f;break;case 4:T=v,M=x,b=d*p,_=m*p,w=g*p*h,k=y*p*h;break;case 3:w=g,k=y,T=v*f,M=x*f,b=d*f*p,_=m*f*p;break;case 2:w=g,k=y,b=d*f,_=m*f,T=v*f*h,M=x*f*h;break;case 1:b=d,_=m,T=v*h,M=x*h,w=g*h*p,k=y*h*p;break;default:b=d,_=m,w=g*h,k=y*h,T=v*h*f,M=x*h*f}var I=a[b+w+T],D=a[b+w+M],R=a[b+k+T],F=a[b+k+M],B=a[_+w+T],N=a[_+w+M],j=a[_+k+T],V=a[_+k+M],U=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(U,I,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,V,P);var Y=n.create(),W=n.create();n.lerp(Y,U,H,O),n.lerp(W,q,G,O);var X=n.create();return n.lerp(X,Y,W,z),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),a=1e-4;n.add(r,t,[a,0,0]);var i=d(r);n.subtract(i,i,e),n.scale(i,i,1e4),n.add(r,t,[0,a,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,a]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,i,o),n.add(r,r,s),r},v=[],m=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],k=function(t){var e=t[0],r=t[1],n=t[2];return!(e<m||e>b||r<y||r>_||n<x||n>w)},T=10*n.distance(e[0],e[1])/a,M=T*T,A=1,S=0,E=r.length;E>1&&(A=function(t){for(var e=[],r=[],n=[],a={},i={},o={},s=t.length,l=0;l<s;l++){var u=t[l],h=u[0],f=u[1],p=u[2];a[h]||(e.push(h),a[h]=!0),i[f]||(r.push(f),i[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),v=c(n),m=Math.min(d,g,v);return isFinite(m)?m:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],z=d(C),I=C;O.push(z);var D=[],R=g(C,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),v.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*a&&P.length<a&&k(C);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;if(j>M&&n.scale(N,N,T/Math.sqrt(j)),n.add(N,N,C),z=d(N),n.squaredDistance(I,N)-M>-1e-4*M){P.push(N),I=N,O.push(z);R=g(N,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var V=o(v,t.colormap,S,A);return h?V.tubeScale=h:(0===S&&(S=1),V.tubeScale=.5*u*A/S),V};var u=t(\"./lib/shaders\"),h=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return h(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":314,\"gl-cone3d\":245,\"gl-vec3\":348,\"gl-vec4\":384}],316:[function(t,e,r){var n=t(\"gl-shader\"),a=t(\"glslify\"),i=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=a([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,i,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,i,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":304,glslify:410}],317:[function(t,e,r){arguments[4][113][0].apply(r,arguments)},{dup:113}],318:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=a(e),u=i(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=a(e),f=i(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=a(e),d=i(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),m={levels:[[],[],[]]};for(var k in t)m[k]=t[k];return m.colormap=m.colormap||\"jet\",v.update(m),v};var n=t(\"bit-twiddle\"),a=t(\"gl-buffer\"),i=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),h=t(\"ndarray\"),f=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),v=t(\"ndarray-gradient\"),m=t(\"./lib/shaders\"),y=m.createShader,x=m.createContourShader,b=m.createPickShader,_=m.createPickContourShader,w=40,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],M=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,a){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=a}!function(){for(var t=0;t<3;++t){var e=M[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,a,i,o,l,c,u,f,p,d,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,this.intensityBounds=[],this._shader=n,this._pickShader=a,this._coordinateBuffer=i,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.opacityscale=!1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.isTransparent=function(){return this.opacity<1||this.opacityscale},L.isOpaque=function(){if(this.opacityscale)return!1;if(this.opacity<1)return!1;if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0)return!0;return!1},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[k.slice(),k.slice(),k.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,a,i=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(i[r]>0)][r],p(l,t.model,l);var c=P.clipBounds[r];for(a=0;a<2;++a)for(n=0;n<3;++n)c[a][n]=t.clipBounds[a][n];c[0][r]=-1e8,c[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var z={model:k,view:k,projection:k,inverseModel:k.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=k.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||k,n.view=t.view||k,n.projection=t.projection||k,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var a=0;a<2;++a)for(var i=n.clipBounds[a],o=0;o<3;++o)i[o]=Math.min(Math.max(this.clipBounds[a][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),a=0;a<3;++a)n.eyePosition[a]=s[12+a]/s[15];var l=s[15];for(a=0;a<3;++a)l+=this.lightPosition[a]*s[4*a+3];for(a=0;a<3;++a){var c=s[12+a];for(o=0;o<3;++o)c+=s[4*o+a]*this.lightPosition[o];n.lightPosition[a]=c/l}var u=O(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),a=0;a<3;++a)this.surfaceProject[a]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[a],this._shader.uniforms.clipBounds=u.clipBounds[a],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var h=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,h.bind(),h.uniforms=n;var f=this._contourVAO;for(f.bind(),a=0;a<3;++a)for(h.uniforms.permutation=M[a],r.lineWidth(this.contourWidth[a]*this.pixelRatio),o=0;o<this.contourLevels[a].length;++o)o===this.highlightLevel[a]?(h.uniforms.contourColor=this.highlightColor[a],h.uniforms.contourTint=this.highlightTint[a]):0!==o&&o-1!==this.highlightLevel[a]||(h.uniforms.contourColor=this.contourColor[a],h.uniforms.contourTint=this.contourTint[a]),this._contourCounts[a][o]&&(h.uniforms.height=this.contourLevels[a][o],f.draw(r.LINES,this._contourCounts[a][o],this._contourOffsets[a][o]));for(a=0;a<3;++a)for(h.uniforms.model=u.projections[a],h.uniforms.clipBounds=u.clipBounds[a],o=0;o<3;++o)if(this.contourProject[a][o]){h.uniforms.permutation=M[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),a=0;a<3;++a)if(0!==this._dynamicCounts[a])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=M[a],r.lineWidth(this.dynamicWidth[a]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[a],h.uniforms.contourTint=this.dynamicTint[a],h.uniforms.height=this.dynamicLevel[a],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]),o=0;o<3;++o)this.contourProject[o][a]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[a],this._dynamicOffsets[a]));f.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:k,view:k,projection:k,inverseModel:k,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||k,r.view=t.view||k,r.projection=t.projection||k,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var a=r.clipBounds[n],i=0;i<3;++i)a[i]=Math.min(Math.max(this.clipBounds[n][i],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),i=0;i<3;++i)for(e.lineWidth(this.contourWidth[i]*this.pixelRatio),s.uniforms.permutation=M[i],n=0;n<this.contourLevels[i].length;++n)this._contourCounts[i][n]&&(s.uniforms.height=this.contourLevels[i][n],l.draw(e.LINES,this._contourCounts[i][n],this._contourOffsets[i][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],i=0;i<3;++i)if(this.contourProject[n][i]){s.uniforms.permutation=M[i],e.lineWidth(this.contourWidth[i]*this.pixelRatio);for(var c=0;c<this.contourLevels[i].length;++c)this._contourCounts[i][c]&&(s.uniforms.height=this.contourLevels[i][c],l.draw(e.LINES,this._contourCounts[i][c],this._contourOffsets[i][c]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,a=Math.floor(n),i=n-a,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;a+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?i:1-i,f=0;f<2;++f)for(var p=a+u,d=s+f,v=h*(f?l:1-l),m=0;m<3;++m)c[m]+=this._field[m].get(p,d)*v;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=i<.5?a:a+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],m=0;m<3;++m)r.dataCoordinate[m]=this._field[m].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,function(t){return B(t,Boolean)})),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var a=(e.shape[0]+2)*(e.shape[1]+2);a>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(a))),this._field[2]=h(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var i=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2]);if(t.coords){var p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==i[b])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var m=g[o];if((Array.isArray(m)||m.length)&&(m=h(m)),m.shape[0]!==i[o])throw new Error(\"gl-surface: invalid tick length\");var y=h(m.data,i);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[i[0]+2,i[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<i[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(i[0]+1,0,i[0]-1),this._field[1].set(0,0,0),b=0;b<i[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,i[1]+1,i[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,i[0]+2,i[1]+2,2]);for(o=0;o<3;++o)v(w.pick(o),_[o],\"mirror\");var k=h(s.mallocFloat(3*_[2].size),[i[0]+2,i[1]+2,3]);for(o=0;o<i[0]+2;++o)for(b=0;b<i[1]+2;++b){var M=w.get(0,o,b,0),A=w.get(0,o,b,1),E=w.get(1,o,b,0),L=w.get(1,o,b,1),C=w.get(2,o,b,0),P=w.get(2,o,b,1),O=E*P-L*C,z=C*A-P*M,I=M*L-A*E,D=Math.sqrt(O*O+z*z+I*I);D<1e-8?(D=Math.max(Math.abs(O),Math.abs(z),Math.abs(I)))<1e-8?(I=1,z=O=0,D=1):D=1/D:D=1/Math.sqrt(D),k.set(o,b,0,O*D),k.set(o,b,1,z*D),k.set(o,b,2,I*D)}s.free(w.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,V=-1/0,U=(i[0]-1)*(i[1]-1)*6,q=s.mallocFloat(n.nextPow2(10*U)),H=0,G=0;for(o=0;o<i[0]-1;++o)t:for(b=0;b<i[1]-1;++b){for(var Y=0;Y<2;++Y)for(var W=0;W<2;++W)for(var X=0;X<3;++X){var Z=this._field[X].get(1+o+Y,1+b+W);if(isNaN(Z)||!isFinite(Z))continue t}for(X=0;X<6;++X){var J=o+T[X][0],K=b+T[X][1],Q=this._field[0].get(J+1,K+1),$=this._field[1].get(J+1,K+1);Z=this._field[2].get(J+1,K+1),O=k.get(J+1,K+1,0),z=k.get(J+1,K+1,1),I=k.get(J+1,K+1,2),t.intensity&&(tt=t.intensity.get(J,K));var tt=t.intensity?t.intensity.get(J,K):Z+this.objectOffset[2];q[H++]=J,q[H++]=K,q[H++]=Q,q[H++]=$,q[H++]=Z,q[H++]=0,q[H++]=tt,q[H++]=O,q[H++]=z,q[H++]=I,R[0]=Math.min(R[0],Q+this.objectOffset[0]),R[1]=Math.min(R[1],$+this.objectOffset[1]),R[2]=Math.min(R[2],Z+this.objectOffset[2]),N=Math.min(N,tt),F[0]=Math.max(F[0],Q+this.objectOffset[0]),F[1]=Math.max(F[1],$+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),V=Math.max(V,tt),G+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],V=+t.intensityBounds[1]),o=6;o<H;o+=10)q[o]=(q[o]-N)/(V-N);this._vertexCount=G,this._coordinateBuffer.update(q.subarray(0,H)),s.freeFloat(q),s.free(k.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===V||(r=!0),this.intensityBounds=[N,V]}if(\"levels\"in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o<3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(b=0;b<et[o].length;++b)et[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<et[o].length;++b)if(et[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,i=this.shape;for(var rt=[],nt=0;nt<3;++nt){var at=this.contourLevels[nt],it=[],ot=[],st=[0,0,0];for(o=0;o<at.length;++o){var lt=f(this._field[nt],at[o]);it.push(rt.length/5|0),G=0;t:for(b=0;b<lt.cells.length;++b){var ct=lt.cells[b];for(X=0;X<2;++X){var ut=lt.positions[ct[X]],ht=ut[0],ft=0|Math.floor(ht),pt=ht-ft,dt=ut[1],gt=0|Math.floor(dt),vt=dt-gt,mt=!1;e:for(var yt=0;yt<3;++yt){st[yt]=0;var xt=(nt+yt+1)%3;for(Y=0;Y<2;++Y){var bt=Y?pt:1-pt;for(J=0|Math.min(Math.max(ft+Y,0),i[0]),W=0;W<2;++W){var _t=W?vt:1-vt;if(K=0|Math.min(Math.max(gt+W,0),i[1]),Z=yt<2?this._field[xt].get(J,K):(this.intensity.get(J,K)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=bt*_t;st[yt]+=wt*Z}}}if(mt){if(X>0){for(var kt=0;kt<5;++kt)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ut[0],ut[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=it,this._contourCounts[nt]=ot}var Tt=s.mallocFloat(rt.length);for(o=0;o<rt.length;++o)Tt[o]=rt[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t,e){var r=u([l({colormap:t,nshades:S,format:\"rgba\"}).map(function(t,r){var n=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(r/255,e):1;return[t[0],t[1],t[2],255*n]})]);return c.divseq(r,255),r}(t.colormap,this.opacityscale))},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,a=this.shape,i=s.mallocFloat(12*a[0]*a[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),g=d.cells,v=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var m=g[e],y=0;y<2;++y){var x=v[m[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,a[0]),k=b-_,T=1-k,M=+x[1],A=0|M,S=0|Math.min(A+1,a[1]),E=M-A,L=1-E,C=T*L,P=T*E,O=k*L,z=k*E,I=C*h.get(_,A)+P*h.get(_,S)+O*h.get(w,A)+z*h.get(w,S),D=C*p.get(_,A)+P*p.get(_,S)+O*p.get(w,A)+z*p.get(w,S);if(isNaN(I)||isNaN(D)){y&&(n-=1);break}i[2*n+0]=I,i[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(i.subarray(0,2*n)),s.freeFloat(i)}}},{\"./lib/shaders\":316,\"binary-search-bounds\":317,\"bit-twiddle\":94,colormap:128,\"gl-buffer\":244,\"gl-mat4/invert\":268,\"gl-mat4/multiply\":270,\"gl-texture2d\":324,\"gl-vao\":329,ndarray:451,\"ndarray-gradient\":442,\"ndarray-ops\":445,\"ndarray-pack\":446,\"surface-nets\":529,\"typedarray-pool\":543}],319:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),a=t(\"pick-by-alias\"),i=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),h=t(\"parse-rect\"),f=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),v=t(\"object-assign\"),m=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var k=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||i({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};k.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(k.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(k.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},k.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=a(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(t){return parseFloat(t)}):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),k.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=k.baseFontSize+\"px sans-serif\");var r,i=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach(function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(k.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var a=n.stringify({size:k.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&a==e.font[r].baseString||(i=!0,e.font[r]=k.fonts[a],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:a,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:m(c,{origin:\"top\",fontSize:k.baseFontSize,fontStyle:u.join(\" \")})},k.fonts[a]=e.font[r]}}),(i||o)&&this.font.forEach(function(r,a){var i=n.stringify({size:e.fontSize[a],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[a]=e.shader.atlas[i],!e.fontAtlas[a]){var o=r.metrics;e.shader.atlas[i]=e.fontAtlas[a]={fontString:i,step:2*Math.ceil(e.fontSize[a]*o.bottom*.5),em:e.fontSize[a],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)}),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||i){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach(function(t,n){k.atlasContext.font=t.baseString;for(var a=e.fontAtlas[n],i=0;i<e.text.length;i++){var o=e.text.charAt(i);if(null==a.ids[o]&&(a.ids[o]=a.chars.length,a.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=k.atlasContext.measureText(o).width/k.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);v(t.kerning,g(t.family,{pairs:s}))}}})}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,T=u.mallocFloat(2*this.count),M=0,A=0;M<this.counts.length;M++){var S=this.counts[M];if(w)for(var E=0;E<S;E++)T[A++]=t.position[2*M],T[A++]=t.position[2*M+1];else for(var L=0;L<S;L++)T[A++]=t.position[M][0],T[A++]=t.position[M][1]}this.position.call?this.position({type:\"float\",data:T}):this.position=this.regl.buffer({type:\"float\",data:T}),u.freeFloat(T)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||i){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,z=0;O<this.counts.length;O++){for(var I=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<I;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(C[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],V=P[2*z],U=P[2*z-1]+.5*j+.5*V;if(this.kerning){var q=D.kerning[N+B];q&&(U+=.001*q)}P[2*z+1]=U}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach(function(t,r){var n=e.fontAtlas[r],a=n.step,i=Math.floor(k.maxAtlasSize/a),o=Math.min(i,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*a),u=x(s*a);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:k.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[a,a]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0})),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(t,r){var n=(e.font[r]||e.font[0]).metrics,a=0;return a+=.5*n.bottom,a+=\"number\"==typeof t?t-n.baseline:-n[t],k.normalViewport||(a*=-1),a})),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},k.prototype.destroy=function(){},k.prototype.kerning=!0,k.prototype.position={constant:new Float32Array(2)},k.prototype.translate=null,k.prototype.scale=null,k.prototype.font=null,k.prototype.text=\"\",k.prototype.positionOffset=[0,0],k.prototype.opacity=1,k.prototype.color=new Uint8Array([0,0,0,255]),k.prototype.alignOffset=[0,0],k.normalViewport=!1,k.maxAtlasSize=1024,k.atlasCanvas=document.createElement(\"canvas\"),k.atlasContext=k.atlasCanvas.getContext(\"2d\",{alpha:!1}),k.baseFontSize=64,k.fonts={},e.exports=k},{\"bit-twiddle\":94,\"color-normalize\":122,\"css-font\":141,\"detect-kerning\":168,\"es6-weak-map\":320,\"flatten-vertex-data\":230,\"font-atlas\":231,\"font-measure\":232,\"gl-util/context\":325,\"is-plain-obj\":423,\"object-assign\":455,\"parse-rect\":460,\"parse-unit\":462,\"pick-by-alias\":466,regl:500,\"to-px\":537,\"typedarray-pool\":543}],320:[function(t,e,r){\"use strict\";e.exports=t(\"./is-implemented\")()?WeakMap:t(\"./polyfill\")},{\"./is-implemented\":321,\"./polyfill\":323}],321:[function(t,e,r){\"use strict\";e.exports=function(){var t,e;if(\"function\"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},\"one\"],[{},\"two\"],[{},\"three\"]])}catch(t){return!1}return\"[object WeakMap]\"===String(t)&&(\"function\"==typeof t.set&&(t.set({},1)===t&&(\"function\"==typeof t.delete&&(\"function\"==typeof t.has&&\"one\"===t.get(e)))))}},{}],322:[function(t,e,r){\"use strict\";e.exports=\"function\"==typeof WeakMap&&\"[object WeakMap]\"===Object.prototype.toString.call(new WeakMap)},{}],323:[function(t,e,r){\"use strict\";var n,a=t(\"es5-ext/object/is-value\"),i=t(\"es5-ext/object/set-prototype-of\"),o=t(\"es5-ext/object/valid-object\"),s=t(\"es5-ext/object/valid-value\"),l=t(\"es5-ext/string/random-uniq\"),c=t(\"d\"),u=t(\"es6-iterator/get\"),h=t(\"es6-iterator/for-of\"),f=t(\"es6-symbol\").toStringTag,p=t(\"./is-native-implemented\"),d=Array.isArray,g=Object.defineProperty,v=Object.prototype.hasOwnProperty,m=Object.getPrototypeOf;e.exports=n=function(){var t,e=arguments[0];if(!(this instanceof n))throw new TypeError(\"Constructor requires 'new'\");return t=p&&i&&WeakMap!==n?i(new WeakMap,m(this)):this,a(e)&&(d(e)||(e=u(e))),g(t,\"__weakMapData__\",c(\"c\",\"$weakMap$\"+l())),e?(h(e,function(e){s(e),t.set(e[0],e[1])}),t):t},p&&(i&&i(n,WeakMap),n.prototype=Object.create(WeakMap.prototype,{constructor:c(n)})),Object.defineProperties(n.prototype,{delete:c(function(t){return!!v.call(o(t),this.__weakMapData__)&&(delete t[this.__weakMapData__],!0)}),get:c(function(t){if(v.call(o(t),this.__weakMapData__))return t[this.__weakMapData__]}),has:c(function(t){return v.call(o(t),this.__weakMapData__)}),set:c(function(t,e){return g(o(t),this.__weakMapData__,c(\"c\",e)),this}),toString:c(function(){return\"[object 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v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,a,i){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,a,a,i,e),new f(t,o,r,n,a,i)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var h,p,v=0;if(2===o.length)v=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])v=t.ALPHA;else if(2===o[2])v=t.LUMINANCE_ALPHA;else if(3===o[2])v=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");v=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var m=e.size;if(l)h=0===e.offset&&e.data.length===m?e.data:e.data.subarray(e.offset,e.offset+m);else{var y=[o[2],o[2]*o[0],1];p=i.malloc(m,r);var x=n(p,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?a.assign(x,e):u(x,e),h=p.subarray(0,m)}var b=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,c,h),l||i.free(p);return new f(t,b,o[0],o[1],v,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var u=function(t,e){a.muls(t,e,255)};function h(t,e,r){var n=t.gl,a=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,a,i){this.gl=t,this.handle=e,this.format=a,this.type=i,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,a){var i=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture shape\");if(a===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,a,null),new f(t,o,e,r,n,a)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return 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e[0].evaluate(t).toUpperCase()}],downcase:[Dt,[Dt],function(t,e){return e[0].evaluate(t).toLowerCase()}],concat:[Dt,sr(Nt),function(t,e){return e.map(function(e){return $t(e.evaluate(t))}).join(\"\")}],\"resolved-locale\":[Dt,[jt],function(t,e){return e[0].evaluate(t).resolvedLocale()}]});var _r=function(t,e){this.expression=t,this._warningHistory={},this._evaluator=new le,this._defaultValue=e?function(t){return\"color\"===t.type&&dr(t.default)?new Wt(0,0,0,0):\"color\"===t.type?Wt.parse(t.default)||null:void 0===t.default?null:t.default}(e):null,this._enumValues=e&&\"enum\"===e.type?e.values:null};function wr(t){return Array.isArray(t)&&t.length>0&&\"string\"==typeof t[0]&&t[0]in nr}function kr(t,e){var r=new ge(nr,[],e?function(t){var e={color:Ft,string:Dt,number:It,enum:Dt,boolean:Rt,formatted:Vt};return\"array\"===t.type?Ut(e[t.value]||Nt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?lr(new 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Tr=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!fe(e.expression)};Tr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Tr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)};var Mr=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!fe(e.expression),this.interpolationType=n};function Ar(t,e){if(\"error\"===(t=kr(t,e)).result)return t;var r=t.value.expression,n=he(r);if(!n&&!ur(e))return cr([new Pt(\"\",\"data expressions not supported\")]);var a=pe(r,[\"zoom\"]);if(!a&&!hr(e))return cr([new Pt(\"\",\"zoom expressions not supported\")]);var i=function t(e){var r=null;if(e instanceof Ue)r=t(e.result);else if(e instanceof Ve)for(var n=0,a=e.args;n<a.length;n+=1){var i=a[n];if(r=t(i))break}else(e instanceof me||e instanceof Ne)&&e.input instanceof ce&&\"zoom\"===e.input.name&&(r=e);return r instanceof Pt?r:(e.eachChild(function(e){var n=t(e);n instanceof Pt?r=n:!r&&n?r=new Pt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):r&&n&&r!==n&&(r=new Pt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))}),r)}(r);if(!i&&!a)return cr([new Pt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(i instanceof Pt)return cr([i]);if(i instanceof Ne&&!fr(e))return cr([new Pt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!i)return lr(new Tr(n?\"constant\":\"source\",t.value));var o=i instanceof Ne?i.interpolation:void 0;return lr(new Mr(n?\"camera\":\"composite\",t.value,i.labels,o))}Mr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n)},Mr.prototype.evaluate=function(t,e,r,n){return this._styleExpression.evaluate(t,e,r,n)},Mr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?Ne.interpolationFactor(this.interpolationType,t,e,r):0};var Sr=function(t,e){this._parameters=t,this._specification=e,St(this,function t(e,r){var n,a,i,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(fr(r)?\"exponential\":\"interval\");if(o&&((e=St({},e)).stops&&(e.stops=e.stops.map(function(t){return[t[0],Wt.parse(t[1])]})),e.default?e.default=Wt.parse(e.default):e.default=Wt.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!Be[e.colorSpace])throw new Error(\"Unknown color space: \"+e.colorSpace);if(\"exponential\"===u)n=xr;else if(\"interval\"===u)n=yr;else if(\"categorical\"===u){n=mr,a=Object.create(null);for(var h=0,f=e.stops;h<f.length;h+=1){var p=f[h];a[p[0]]=p[1]}i=typeof 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s=o&&o.properties?o.properties[e.property]:void 0;return void 0===s?vr(e.default,r.default):n(e,r,s,a,i)}}}(this._parameters,this._specification))};function Er(t){var e=t.key,r=t.value,n=t.valueSpec||{},a=t.objectElementValidators||{},i=t.style,o=t.styleSpec,s=[],l=pr(r);if(\"object\"!==l)return[new Mt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(a[u])f=a[u];else if(n[u])f=Qr;else if(a[\"*\"])f=a[\"*\"];else{if(!n[\"*\"]){s.push(new Mt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Qr}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:i,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)a[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Mt(e,r,'missing required property \"'+p+'\"'));return s}function Lr(t){var e=t.value,r=t.valueSpec,n=t.style,a=t.styleSpec,i=t.key,o=t.arrayElementValidator||Qr;if(\"array\"!==pr(e))return[new Mt(i,e,\"array expected, \"+pr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Mt(i,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Mt(i,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};a.$version<7&&(s.function=r.function),\"object\"===pr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:a,key:i+\"[\"+c+\"]\"}));return l}function Cr(t){var e=t.key,r=t.value,n=t.valueSpec,a=pr(r);return\"number\"!==a?[new Mt(e,r,\"number expected, \"+a+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Mt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Mt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function Pr(t){var e,r,n,a=t.valueSpec,i=Lt(t.value.type),o={},s=\"categorical\"!==i&&void 0===t.value.property,l=!s,c=\"array\"===pr(t.value.stops)&&\"array\"===pr(t.value.stops[0])&&\"object\"===pr(t.value.stops[0][0]),u=Er({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===i)return[new Mt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(Lr({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===pr(r)&&0===r.length&&e.push(new Mt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Qr({key:t.key,value:t.value,valueSpec:a,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===i&&s&&u.push(new Mt(t.key,t.value,'missing required property \"property\"')),\"identity\"===i||t.value.stops||u.push(new Mt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===i&&t.valueSpec.expression&&!fr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!ur(t.valueSpec)?u.push(new Mt(t.key,t.value,\"property functions not supported\")):s&&!hr(t.valueSpec)&&u.push(new Mt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==i&&!c||void 0!==t.value.property||u.push(new Mt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],i=t.value,s=t.key;if(\"array\"!==pr(i))return[new Mt(s,i,\"array expected, \"+pr(i)+\" found\")];if(2!==i.length)return[new Mt(s,i,\"array length 2 expected, length \"+i.length+\" found\")];if(c){if(\"object\"!==pr(i[0]))return[new Mt(s,i,\"object expected, \"+pr(i[0])+\" found\")];if(void 0===i[0].zoom)return[new Mt(s,i,\"object stop key must have zoom\")];if(void 0===i[0].value)return[new Mt(s,i,\"object stop key must have value\")];if(n&&n>Lt(i[0].zoom))return[new Mt(s,i[0].zoom,\"stop zoom values must appear in ascending order\")];Lt(i[0].zoom)!==n&&(n=Lt(i[0].zoom),r=void 0,o={}),e=e.concat(Er({key:s+\"[0]\",value:i[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:Cr,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:i[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},i));return wr(Ct(i[1]))?e.concat([new Mt(s+\"[1]\",i[1],\"expressions are not allowed in function stops.\")]):e.concat(Qr({key:s+\"[1]\",value:i[1],valueSpec:a,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=pr(t.value),l=Lt(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Mt(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Mt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==i){var u=\"number expected, \"+s+\" found\";return ur(a)&&void 0===i&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Mt(t.key,c,u)]}return\"categorical\"!==i||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==i&&\"number\"===s&&void 0!==r&&l<r?[new Mt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===i&&l in o?[new Mt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Mt(t.key,c,\"integer expected, found \"+l)]}}function Or(t){var e=(\"property\"===t.expressionContext?Ar:kr)(Ct(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map(function(e){return new Mt(\"\"+t.key+e.key,t.value,e.message)});var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&-1!==r.possibleOutputs().indexOf(void 0))return[new Mt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!fe(r))return[new Mt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!pe(r,[\"zoom\",\"feature-state\"]))return[new Mt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!he(r))return[new Mt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function zr(t){var e=t.key,r=t.value,n=t.valueSpec,a=[];return Array.isArray(n.values)?-1===n.values.indexOf(Lt(r))&&a.push(new Mt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Lt(r))&&a.push(new Mt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),a}function Ir(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Ir(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}Sr.deserialize=function(t){return new Sr(t._parameters,t._specification)},Sr.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var 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l=1;l<r.length;l++)o=o.concat(t({key:n+\"[\"+l+\"]\",value:r[l],style:e.style,styleSpec:e.styleSpec}));break;case\"has\":case\"!has\":a=pr(r[1]),2!==r.length?o.push(new Mt(n,r,'filter array for \"'+r[0]+'\" operator must have 2 elements')):\"string\"!==a&&o.push(new Mt(n+\"[1]\",r[1],\"string expected, \"+a+\" found\"))}return o}(t)}function Hr(t,e){var r=t.key,n=t.style,a=t.styleSpec,i=t.value,o=t.objectKey,s=a[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Qr({key:r,value:i,valueSpec:a.transition,style:n,styleSpec:a});var c,u=t.valueSpec||s[o];if(!u)return[new Mt(r,i,'unknown property \"'+o+'\"')];if(\"string\"===pr(i)&&ur(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(i)))return[new Mt(r,i,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var 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e=t.key,r=t.value,n=pr(r);return\"string\"!==n?[new Mt(e,r,\"color expected, \"+n+\" found\")]:null===Yt(r)?[new Mt(e,r,'color expected, \"'+r+'\" found')]:[]},constants:At,enum:zr,filter:qr,function:Pr,layer:Wr,object:Er,source:Xr,light:Zr,string:Jr,formatted:function(t){return 0===Jr(t).length?[]:Or(t)}};function Qr(t){var e=t.value,r=t.valueSpec,n=t.styleSpec;return r.expression&&dr(Lt(e))?Pr(t):r.expression&&wr(Ct(e))?Or(t):r.type&&Kr[r.type]?Kr[r.type](t):Er(St({},t,{valueSpec:r.type?n[r.type]:r}))}function $r(t){var e=t.value,r=t.key,n=Jr(t);return n.length?n:(-1===e.indexOf(\"{fontstack}\")&&n.push(new Mt(r,e,'\"glyphs\" url must include a \"{fontstack}\" token')),-1===e.indexOf(\"{range}\")&&n.push(new Mt(r,e,'\"glyphs\" url must include a \"{range}\" token')),n)}function tn(t,e){e=e||Tt;var r=[];return 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this._forEachCell(t,e,r,n,this._queryCell,s,{},a),s},hn.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=this.cells[a];if(null!==l)for(var c=this.keys,u=this.bboxes,h=0;h<l.length;h++){var f=l[h];if(void 0===o[f]){var p=4*f;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[f]=!0,i.push(c[f])):o[f]=!1}}},hn.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),h=this._convertToCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.d*p+f;if((!s||s(this._convertFromCellCoord(f),this._convertFromCellCoord(p),this._convertFromCellCoord(f+1),this._convertFromCellCoord(p+1)))&&a.call(this,t,e,r,n,d,i,o,s))return}},hn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},hn.prototype._convertToCellCoord=function(t){return 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c=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var u in t)if(t.hasOwnProperty(u)&&!(pn[l].omit.indexOf(u)>=0)){var h=t[u];c[u]=pn[l].shallow.indexOf(u)>=0?h:vn(h,e)}t instanceof Error&&(c.message=t.message)}if(c.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(c.$name=l),c}throw new Error(\"can't serialize object of type \"+typeof t)}function mn(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||t instanceof ArrayBuffer||ArrayBuffer.isView(t)||t instanceof fn)return t;if(Array.isArray(t))return t.map(mn);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=pn[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),a=0,i=Object.keys(t);a<i.length;a+=1){var o=i[a];if(\"$name\"!==o){var 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t},e}(Zn);aa.prototype.bytesPerElement=12,dn(\"StructArrayLayout3f12\",aa);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Zn);ia.prototype.bytesPerElement=4,dn(\"StructArrayLayout1ul4\",ia);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,a,i,o,s,l,c,u)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h){var f=12*t,p=6*t;return this.int16[f+0]=e,this.int16[f+1]=r,this.int16[f+2]=n,this.int16[f+3]=a,this.int16[f+4]=i,this.int16[f+5]=o,this.uint32[p+3]=s,this.uint16[f+8]=l,this.uint16[f+9]=c,this.int16[f+10]=u,this.int16[f+11]=h,t},e}(Zn);oa.prototype.bytesPerElement=24,dn(\"StructArrayLayout6i1ul2ui2i24\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,a,i)},e.prototype.emplace=function(t,e,r,n,a,i,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=a,this.int16[s+4]=i,this.int16[s+5]=o,t},e}(Zn);sa.prototype.bytesPerElement=12,dn(\"StructArrayLayout2i2i2i12\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=12*t,o=3*t;return this.uint8[i+0]=e,this.uint8[i+1]=r,this.float32[o+1]=n,this.float32[o+2]=a,t},e}(Zn);la.prototype.bytesPerElement=12,dn(\"StructArrayLayout2ub2f12\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v){var m=22*t,y=11*t,x=44*t;return this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=a,this.uint32[y+2]=i,this.uint32[y+3]=o,this.uint32[y+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=c,this.uint16[m+12]=u,this.float32[y+7]=h,this.float32[y+8]=f,this.uint8[x+36]=p,this.uint8[x+37]=d,this.uint8[x+38]=g,this.uint32[y+10]=v,t},e}(Zn);ca.prototype.bytesPerElement=44,dn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul44\",ca);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x){var b=this.length;return this.resize(b+1),this.emplace(b,t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x)},e.prototype.emplace=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b){var _=24*t,w=12*t;return this.int16[_+0]=e,this.int16[_+1]=r,this.int16[_+2]=n,this.int16[_+3]=a,this.int16[_+4]=i,this.int16[_+5]=o,this.uint16[_+6]=s,this.uint16[_+7]=l,this.uint16[_+8]=c,this.uint16[_+9]=u,this.uint16[_+10]=h,this.uint16[_+11]=f,this.uint16[_+12]=p,this.uint16[_+13]=d,this.uint16[_+14]=g,this.uint16[_+15]=v,this.uint16[_+16]=m,this.uint32[w+9]=y,this.float32[w+10]=x,this.float32[w+11]=b,t},e}(Zn);ua.prototype.bytesPerElement=48,dn(\"StructArrayLayout6i11ui1ul2f48\",ua);var ha=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Zn);ha.prototype.bytesPerElement=4,dn(\"StructArrayLayout1f4\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,t},e}(Zn);fa.prototype.bytesPerElement=6,dn(\"StructArrayLayout3i6\",fa);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=2*t,i=4*t;return this.uint32[a+0]=e,this.uint16[i+2]=r,this.uint16[i+3]=n,t},e}(Zn);pa.prototype.bytesPerElement=8,dn(\"StructArrayLayout1ul2ui8\",pa);var da=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var a=3*t;return this.uint16[a+0]=e,this.uint16[a+1]=r,this.uint16[a+2]=n,t},e}(Zn);da.prototype.bytesPerElement=6,dn(\"StructArrayLayout3ui6\",da);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Zn);ga.prototype.bytesPerElement=4,dn(\"StructArrayLayout2ui4\",ga);var va=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Zn);va.prototype.bytesPerElement=2,dn(\"StructArrayLayout1ui2\",va);var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Zn);ma.prototype.bytesPerElement=8,dn(\"StructArrayLayout2f8\",ma);var ya=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,a){var i=4*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,this.float32[i+3]=a,t},e}(Zn);ya.prototype.bytesPerElement=16,dn(\"StructArrayLayout4f16\",ya);var xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},radius:{configurable:!0},signedDistanceFromAnchor:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorPointY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.x1.set=function(t){this._structArray.int16[this._pos2+2]=t},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.y1.set=function(t){this._structArray.int16[this._pos2+3]=t},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.x2.set=function(t){this._structArray.int16[this._pos2+4]=t},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.y2.set=function(t){this._structArray.int16[this._pos2+5]=t},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Xn);xa.prototype.size=24;var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new xa(this,t)},e}(oa);dn(\"CollisionBoxArray\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.glyphStartIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.upperSize.get=function(){return 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i=this.zoomInPaintVertexArray,o=this.zoomOutPaintVertexArray,s=this.layerId;if(a&&r.patterns&&r.patterns[s]){var l=r.patterns[s],c=l.min,u=l.mid,h=l.max,f=a[c],p=a[u],d=a[h];if(!f||!p||!d)return;for(var g=t;g<e;g++)i.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],f.tl[0],f.tl[1],f.br[0],f.br[1]),o.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],d.tl[0],d.tl[1],d.br[0],d.br[1])}},Ja.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ja.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()},Ja.prototype.setUniforms=function(t,e){e.set(0)},Ja.prototype.getBinding=function(t,e){return new Ba(t,e)};var Ka=function(){this.binders={},this.cacheKey=\"\",this._buffers=[],this._featureMap=new Ia,this._bufferOffset=0};Ka.createDynamic=function(t,e,r){var n=new Ka,a=[];for(var i in t.paint._values)if(r(i)){var o=t.paint.get(i);if(o instanceof Bn&&ur(o.property.specification)){var s=$a(i,t.type),l=o.property.specification.type,c=o.property.useIntegerZoom;if(\"cross-faded\"===o.property.specification[\"property-type\"]||\"cross-faded-data-driven\"===o.property.specification[\"property-type\"])if(\"constant\"===o.value.kind)n.binders[i]=new Wa(o.value.value,s,l),a.push(\"/u_\"+i);else{var u=ti(i,l,\"source\");n.binders[i]=new Ja(o.value,s,l,c,e,u,t.id),a.push(\"/a_\"+i)}else if(\"constant\"===o.value.kind)n.binders[i]=new Ya(o.value.value,s,l),a.push(\"/u_\"+i);else if(\"source\"===o.value.kind){var h=ti(i,l,\"source\");n.binders[i]=new Xa(o.value,s,l,h),a.push(\"/a_\"+i)}else{var f=ti(i,l,\"composite\");n.binders[i]=new Za(o.value,s,l,c,e,f),a.push(\"/z_\"+i)}}}return n.cacheKey=a.sort().join(\"\"),n},Ka.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.binders)this.binders[i].populatePaintArray(t,e,n,a);void 0!==e.id&&this._featureMap.add(+e.id,r,this._bufferOffset,t),this._bufferOffset=t},Ka.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders)this.binders[r].setConstantPatternPositions(t,e)},Ka.prototype.updatePaintArrays=function(t,e,r,n){var a=!1;for(var i in t)for(var o=0,s=this._featureMap.getPositions(+i);o<s.length;o+=1){var l=s[o],c=e.feature(l.index);for(var u in this.binders){var h=this.binders[u];if(!(h instanceof Ya||h instanceof Wa)&&!0===h.expression.isStateDependent){var f=r.paint.get(u);h.expression=f.value,h.updatePaintArray(l.start,l.end,c,t[i],n),a=!0}}}return a},Ka.prototype.defines=function(){var t=[];for(var e in this.binders)t.push.apply(t,this.binders[e].defines());return t},Ka.prototype.getPaintVertexBuffers=function(){return this._buffers},Ka.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders)for(var a=this.binders[n],i=0,o=a.uniformNames;i<o.length;i+=1){var s=o[i];if(e[s]){var l=a.getBinding(t,e[s]);r.push({name:s,property:n,binding:l})}}return r},Ka.prototype.setUniforms=function(t,e,r,n){for(var a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniforms(t,c,n,r.get(l),s)}},Ka.prototype.updatePatternPaintBuffers=function(t){var e=[];for(var r in this.binders){var n=this.binders[r];if(n instanceof Ja){var a=2===t.fromScale?n.zoomInPaintVertexBuffer:n.zoomOutPaintVertexBuffer;a&&e.push(a)}else(n instanceof Xa||n instanceof Za)&&n.paintVertexBuffer&&e.push(n.paintVertexBuffer)}this._buffers=e},Ka.prototype.upload=function(t){for(var e in this.binders)this.binders[e].upload(t);var r=[];for(var n in this.binders){var a=this.binders[n];(a instanceof Xa||a instanceof Za)&&a.paintVertexBuffer&&r.push(a.paintVertexBuffer)}this._buffers=r},Ka.prototype.destroy=function(){for(var t in this.binders)this.binders[t].destroy()};var Qa=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var a=0,i=e;a<i.length;a+=1){var o=i[a];this.programConfigurations[o.id]=Ka.createDynamic(o,r,n),this.programConfigurations[o.id].layoutAttributes=t}this.needsUpload=!1};function $a(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function ti(t,e,r){var n={color:{source:ma,composite:ya},number:{source:ha,composite:ma}},a=function(t){return{\"line-pattern\":{source:ra,composite:ra},\"fill-pattern\":{source:ra,composite:ra},\"fill-extrusion-pattern\":{source:ra,composite:ra}}[t]}(t);return a&&a[r]||n[e][r]}Qa.prototype.populatePaintArrays=function(t,e,r,n,a){for(var i in this.programConfigurations)this.programConfigurations[i].populatePaintArrays(t,e,r,n,a);this.needsUpload=!0},Qa.prototype.updatePaintArrays=function(t,e,r,n){for(var a=0,i=r;a<i.length;a+=1){var o=i[a];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,e,o,n)||this.needsUpload}},Qa.prototype.get=function(t){return this.programConfigurations[t]},Qa.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Qa.prototype.destroy=function(){for(var t in 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t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qn,this.indexArray=new da,this.segments=new Oa,this.programConfigurations=new Qa(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function oi(t,e){for(var r=0;r<t.length;r++)if(gi(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(gi(t,e[n]))return!0;return!!ui(t,e)}function si(t,e,r){return!!gi(t,e)||!!fi(e,t,r)}function li(t,e){if(1===t.length)return di(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],a=0;a<n.length;a++)if(gi(t,n[a]))return!0;for(var i=0;i<t.length;i++)if(di(e,t[i]))return!0;for(var o=0;o<e.length;o++)if(ui(t,e[o]))return!0;return!1}function ci(t,e,r){if(t.length>1){if(ui(t,e))return!0;for(var n=0;n<e.length;n++)if(fi(e[n],t,r))return!0}for(var a=0;a<t.length;a++)if(fi(t[a],e,r))return!0;return!1}function ui(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],a=t[r+1],i=0;i<e.length-1;i++)if(hi(n,a,e[i],e[i+1]))return!0;return!1}function hi(t,e,r,n){return k(t,r,n)!==k(e,r,n)&&k(t,e,r)!==k(t,e,n)}function fi(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var a=1;a<e.length;a++)if(pi(t,e[a-1],e[a])<n)return!0;return!1}function pi(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var a=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return a<0?t.distSqr(e):a>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(a)._add(e))}function di(t,e){for(var r,n,a,i=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],a=r[l],n.y>e.y!=a.y>e.y&&e.x<(a.x-n.x)*(e.y-n.y)/(a.y-n.y)+n.x&&(i=!i);return i}function gi(t,e){for(var r=!1,n=0,a=t.length-1;n<t.length;a=n++){var i=t[n],o=t[a];i.y>e.y!=o.y>e.y&&e.x<(o.x-i.x)*(e.y-i.y)/(o.y-i.y)+i.x&&(r=!r)}return r}function vi(t,e,r){var n=r[0],a=r[2];if(t.x<n.x&&e.x<n.x||t.x>a.x&&e.x>a.x||t.y<n.y&&e.y<n.y||t.y>a.y&&e.y>a.y)return!1;var i=k(t,e,r[0]);return i!==k(t,e,r[1])||i!==k(t,e,r[2])||i!==k(t,e,r[3])}function mi(t,e,r){var n=e.paint.get(t).value;return\"constant\"===n.kind?n.value:r.programConfigurations.get(e.id).binders[t].maxValue}function yi(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function xi(t,e,r,n,i){if(!e[0]&&!e[1])return t;var o=a.convert(e)._mult(i);\"viewport\"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o))}return s}ii.prototype.populate=function(t,e){var r=this.layers[0],n=[],a=null;\"circle\"===r.type&&(a=r.layout.get(\"circle-sort-key\"));for(var i=0,o=t;i<o.length;i+=1){var s=o[i],l=s.feature,c=s.index,u=s.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),l)){var h=ni(l),f=a?a.evaluate(l,{}):void 0,p={id:l.id,properties:l.properties,type:l.type,sourceLayerIndex:u,index:c,geometry:h,patterns:{},sortKey:f};n.push(p)}}a&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var d=0,g=n;d<g.length;d+=1){var v=g[d],m=v,y=m.geometry,x=m.index,b=m.sourceLayerIndex,_=t[x].feature;this.addFeature(v,y,x),e.featureIndex.insert(_,y,x,b,this.index)}},ii.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ii.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ii.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ii.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Pa),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ii.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ii.prototype.addFeature=function(t,e,r){for(var n=0,a=e;n<a.length;n+=1)for(var i=0,o=a[n];i<o.length;i+=1){var s=o[i],l=s.x,c=s.y;if(!(l<0||l>=ei||c<0||c>=ei)){var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=u.vertexLength;ai(this.layoutVertexArray,l,c,-1,-1),ai(this.layoutVertexArray,l,c,1,-1),ai(this.layoutVertexArray,l,c,1,1),ai(this.layoutVertexArray,l,c,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),u.vertexLength+=4,u.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{})},dn(\"CircleBucket\",ii,{omit:[\"layers\"]});var bi,_i=new Gn({\"circle-sort-key\":new Vn(Tt.layout_circle[\"circle-sort-key\"])}),wi={paint:new Gn({\"circle-radius\":new Vn(Tt.paint_circle[\"circle-radius\"]),\"circle-color\":new Vn(Tt.paint_circle[\"circle-color\"]),\"circle-blur\":new Vn(Tt.paint_circle[\"circle-blur\"]),\"circle-opacity\":new Vn(Tt.paint_circle[\"circle-opacity\"]),\"circle-translate\":new jn(Tt.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new ii(t)},e.prototype.queryRadius=function(t){var e=t;return mi(\"circle-radius\",this,e)+mi(\"circle-stroke-width\",this,e)+yi(this.paint.get(\"circle-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,i,o,s){for(var l=xi(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),i.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return l.map(function(t){return Ai(t,e)})}(0,s),f=u?c*o:c,p=0,d=n;p<d.length;p+=1)for(var g=0,v=d[p];g<v.length;g+=1){var 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i=Ei({},{width:n,height:a},r);Ci(t,i,{x:0,y:0},{x:0,y:0},{width:Math.min(t.width,n),height:Math.min(t.height,a)},r),t.width=n,t.height=a,t.data=i.data}}function Ci(t,e,r,n,a,i){if(0===a.width||0===a.height)return e;if(a.width>t.width||a.height>t.height||r.x>t.width-a.width||r.y>t.height-a.height)throw new RangeError(\"out of range source coordinates for image copy\");if(a.width>e.width||a.height>e.height||n.x>e.width-a.width||n.y>e.height-a.height)throw new RangeError(\"out of range destination coordinates for image copy\");for(var o=t.data,s=e.data,l=0;l<a.height;l++)for(var c=((r.y+l)*t.width+r.x)*i,u=((n.y+l)*e.width+n.x)*i,h=0;h<a.width*i;h++)s[u+h]=o[c+h];return e}dn(\"HeatmapBucket\",Si,{omit:[\"layers\"]});var Pi=function(t,e){Ei(this,t,1,e)};Pi.prototype.resize=function(t){Li(this,t,1)},Pi.prototype.clone=function(){return new Pi({width:this.width,height:this.height},new Uint8Array(this.data))},Pi.copy=function(t,e,r,n,a){Ci(t,e,r,n,a,1)};var Oi=function(t,e){Ei(this,t,4,e)};Oi.prototype.resize=function(t){Li(this,t,4)},Oi.prototype.replace=function(t,e){e?this.data.set(t):t instanceof Uint8ClampedArray?this.data=new Uint8Array(t.buffer):this.data=t},Oi.prototype.clone=function(){return new Oi({width:this.width,height:this.height},new Uint8Array(this.data))},Oi.copy=function(t,e,r,n,a){Ci(t,e,r,n,a,4)},dn(\"AlphaImage\",Pi),dn(\"RGBAImage\",Oi);var zi={paint:new Gn({\"heatmap-radius\":new Vn(Tt.paint_heatmap[\"heatmap-radius\"]),\"heatmap-weight\":new Vn(Tt.paint_heatmap[\"heatmap-weight\"]),\"heatmap-intensity\":new jn(Tt.paint_heatmap[\"heatmap-intensity\"]),\"heatmap-color\":new Hn(Tt.paint_heatmap[\"heatmap-color\"]),\"heatmap-opacity\":new jn(Tt.paint_heatmap[\"heatmap-opacity\"])})};function Ii(t,e){for(var r=new Uint8Array(1024),n={},a=0,i=0;a<256;a++,i+=4){n[e]=a/255;var o=t.evaluate(n);r[i+0]=Math.floor(255*o.r/o.a),r[i+1]=Math.floor(255*o.g/o.a),r[i+2]=Math.floor(255*o.b/o.a),r[i+3]=Math.floor(255*o.a)}return new 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c=t.readVarint();n=7&c,i=c>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},So.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,a=0,i=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(a+=t.readSVarint())<o&&(o=a),a>s&&(s=a),(i+=t.readSVarint())<l&&(l=i),i>c&&(c=i);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},So.prototype.toGeoJSON=function(t,e,r){var n,a,i=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=So.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/i;t[e]=[360*(r.x+o)/i-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,a=[],i=0;i<e;i++){var o=Lo(t[i]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&a.push(r),r=[t[i]]):r.push(t[i]))}return r&&a.push(r),a}(l),n=0;n<l.length;n++)for(a=0;a<l[n].length;a++)u(l[n][a])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Co=Po;function Po(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Oo,this,e),this.length=this._features.length}function Oo(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function zo(t,e,r){if(3===t){var n=new Co(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Po.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ao(this._pbf,e,this.extent,this._keys,this._values)};var Io={VectorTile:function(t,e){this.layers=t.readFields(zo,{},e)},VectorTileFeature:Ao,VectorTileLayer:Co},Do=Io.VectorTileFeature.types,Ro=Math.pow(2,13);function Fo(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ro)+o,a*Ro*2,i*Ro*2,Math.round(s))}var Bo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ta,this.indexArray=new da,this.programConfigurations=new Qa(Mo,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function No(t,e){return t.x===e.x&&(t.x<0||t.x>ei)||t.y===e.y&&(t.y<0||t.y>ei)}function jo(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>ei})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>ei})}Bo.prototype.populate=function(t,e){this.features=[],this.hasPattern=xo(\"fill-extrusion\",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var a=n[r],i=a.feature,o=a.index,s=a.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),i)){var l=ni(i),c={sourceLayerIndex:s,index:o,geometry:l,properties:i.properties,type:i.type,patterns:{}};void 0!==i.id&&(c.id=i.id),this.hasPattern?this.features.push(bo(\"fill-extrusion\",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(i,l,o,s,this.index,!0)}}},Bo.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var a=n[r],i=a.geometry;this.addFeature(a,i,a.index,e)}},Bo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Bo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Bo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Bo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Mo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Bo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Bo.prototype.addFeature=function(t,e,r,n){for(var a=0,i=mo(e,500);a<i.length;a+=1){for(var o=i[a],s=0,l=0,c=o;l<c.length;l+=1)s+=c[l].length;for(var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,f=o;h<f.length;h+=1){var p=f[h];if(0!==p.length&&!jo(p))for(var d=0,g=0;g<p.length;g++){var v=p[g];if(g>=1){var m=p[g-1];if(!No(v,m)){u.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var y=v.sub(m)._perp()._unit(),x=m.dist(v);d+x>32768&&(d=0),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,1,d),d+=x,Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,0,d),Fo(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,1,d);var b=u.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),u.vertexLength+=4,u.primitiveLength+=2}}}}if(u.vertexLength+s>Oa.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(s,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Do[t.type]){for(var _=[],w=[],k=u.vertexLength,T=0,M=o;T<M.length;T+=1){var A=M[T];if(0!==A.length){A!==o[0]&&w.push(_.length/2);for(var S=0;S<A.length;S++){var E=A[S];Fo(this.layoutVertexArray,E.x,E.y,0,0,1,1,0),_.push(E.x),_.push(E.y)}}}for(var L=Ni(_,w),C=0;C<L.length;C+=3)this.indexArray.emplaceBack(k+L[C],k+L[C+2],k+L[C+1]);u.primitiveLength+=L.length/3,u.vertexLength+=s}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,n)},dn(\"FillExtrusionBucket\",Bo,{omit:[\"layers\",\"features\"]});var Vo={paint:new Gn({\"fill-extrusion-opacity\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Un(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Vn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new jn(Tt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Uo=function(t){function e(e){t.call(this,e,Vo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Bo(t)},e.prototype.queryRadius=function(){return yi(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var c=xi(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),h=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),f=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];Ti(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,v=t;g<v.length;g+=1){for(var m=[],y=[],x=0,b=v[g];x<b.length;x+=1){var _=b[x],w=_.x,k=_.y,T=n[0]*w+n[4]*k+n[12],M=n[1]*w+n[5]*k+n[13],A=n[2]*w+n[6]*k+n[14],S=n[3]*w+n[7]*k+n[15],E=A+c,L=S+u,C=T+h,P=M+f,O=A+p,z=S+d,I=new a((T+s)/L,(M+l)/L);I.z=E/L,m.push(I);var D=new a(C/z,P/z);D.z=O/z,y.push(D)}i.push(m),o.push(y)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;li(r,e)&&(n=Ho(r,e[0]));for(var a=0;a<e.length;a++)for(var i=e[a],o=t[a],s=0;s<i.length-1;s++){var l=i[s],c=i[s+1],u=o[s],h=[l,c,o[s+1],u,l];oi(r,h)&&(n=Math.min(n,Ho(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}(Yn);function qo(t,e){return t.x*e.x+t.y*e.y}function Ho(t,e){if(1===t.length){var r=e[0],n=e[1],a=e[3],i=t[0],o=n.sub(r),s=a.sub(r),l=i.sub(r),c=qo(o,o),u=qo(o,s),h=qo(s,s),f=qo(l,o),p=qo(l,s),d=c*h-u*u,g=(h*f-u*p)/d,v=(c*p-u*f)/d,m=1-g-v;return r.z*m+n.z*g+a.z*v}for(var y=1/0,x=0,b=e;x<b.length;x+=1){var _=b[x];y=Math.min(y,_.z)}return y}var Go=Jn([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Yo=Io.VectorTileFeature.types,Wo=Math.cos(Math.PI/180*37.5),Xo=Math.pow(2,14)/.5,Zo=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ea,this.indexArray=new da,this.programConfigurations=new Qa(Go,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};Zo.prototype.populate=function(t,e){this.hasPattern=xo(\"line\",this.layers,e);for(var r=this.layers[0].layout.get(\"line-sort-key\"),n=[],a=0,i=t;a<i.length;a+=1){var o=i[a],s=o.feature,l=o.index,c=o.sourceLayerIndex;if(this.layers[0]._featureFilter(new Pn(this.zoom),s)){var u=ni(s),h=r?r.evaluate(s,{}):void 0,f={id:s.id,properties:s.properties,type:s.type,sourceLayerIndex:c,index:l,geometry:u,patterns:{},sortKey:h};n.push(f)}}r&&n.sort(function(t,e){return t.sortKey-e.sortKey});for(var p=0,d=n;p<d.length;p+=1){var g=d[p],v=g,m=v.geometry,y=v.index,x=v.sourceLayerIndex;if(this.hasPattern){var b=bo(\"line\",this.layers,g,this.zoom,e);this.patternFeatures.push(b)}else this.addFeature(g,m,y,{});var _=t[y].feature;e.featureIndex.insert(_,m,y,x,this.index)}},Zo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Zo.prototype.addFeatures=function(t,e){for(var r=0,n=this.patternFeatures;r<n.length;r+=1){var a=n[r];this.addFeature(a,a.geometry,a.index,e)}},Zo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Zo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Zo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Go),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Zo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Zo.prototype.addFeature=function(t,e,r,n){for(var a=this.layers[0].layout,i=a.get(\"line-join\").evaluate(t,{}),o=a.get(\"line-cap\"),s=a.get(\"line-miter-limit\"),l=a.get(\"line-round-limit\"),c=0,u=e;c<u.length;c+=1){var h=u[c];this.addLine(h,t,i,o,s,l,r,n)}},Zo.prototype.addLine=function(t,e,r,n,a,i,o,s){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var l=0;l<t.length-1;l++)this.totalDistance+=t[l].dist(t[l+1])}for(var c=\"Polygon\"===Yo[e.type],u=t.length;u>=2&&t[u-1].equals(t[u-2]);)u--;for(var h=0;h<u-1&&t[h].equals(t[h+1]);)h++;if(!(u<(c?3:2))){\"bevel\"===r&&(a=1.05);var f,p=ei/(512*this.overscaling)*15,d=this.segments.prepareSegment(10*u,this.layoutVertexArray,this.indexArray),g=void 0,v=void 0,m=void 0,y=void 0;this.e1=this.e2=-1,c&&(f=t[u-2],y=t[h].sub(f)._unit()._perp());for(var x=h;x<u;x++)if(!(v=c&&x===u-1?t[h+1]:t[x+1])||!t[x].equals(v)){y&&(m=y),f&&(g=f),f=t[x],y=v?v.sub(f)._unit()._perp():m;var b=(m=m||y).add(y);0===b.x&&0===b.y||b._unit();var _=m.x*y.x+m.y*y.y,w=b.x*y.x+b.y*y.y,k=0!==w?1/w:1/0,T=2*Math.sqrt(2-2*w),M=w<Wo&&g&&v,A=m.x*y.y-m.y*y.x>0;if(M&&x>h){var S=f.dist(g);if(S>2*p){var E=f.sub(f.sub(g)._mult(p/S)._round());this.updateDistance(g,E),this.addCurrentVertex(E,m,0,0,d),g=E}}var L=g&&v,C=L?r:c?\"butt\":n;if(L&&\"round\"===C&&(k<i?C=\"miter\":k<=2&&(C=\"fakeround\")),\"miter\"===C&&k>a&&(C=\"bevel\"),\"bevel\"===C&&(k>2&&(C=\"flipbevel\"),k<a&&(C=\"miter\")),g&&this.updateDistance(g,f),\"miter\"===C)b._mult(k),this.addCurrentVertex(f,b,0,0,d);else if(\"flipbevel\"===C){if(k>100)b=y.mult(-1);else{var P=k*m.add(y).mag()/m.sub(y).mag();b._perp()._mult(P*(A?-1:1))}this.addCurrentVertex(f,b,0,0,d),this.addCurrentVertex(f,b.mult(-1),0,0,d)}else if(\"bevel\"===C||\"fakeround\"===C){var O=-Math.sqrt(k*k-1),z=A?O:0,I=A?0:O;if(g&&this.addCurrentVertex(f,m,z,I,d),\"fakeround\"===C)for(var D=Math.round(180*T/Math.PI/20),R=1;R<D;R++){var F=R/D;if(.5!==F){var B=F-.5;F+=F*B*(F-1)*((1.0904+_*(_*(3.55645-1.43519*_)-3.2452))*B*B+(.848013+_*(.215638*_-1.06021)))}var N=y.sub(m)._mult(F)._add(m)._unit()._mult(A?-1:1);this.addHalfVertex(f,N.x,N.y,!1,A,0,d)}v&&this.addCurrentVertex(f,y,-z,-I,d)}else if(\"butt\"===C)this.addCurrentVertex(f,b,0,0,d);else if(\"square\"===C){var j=g?1:-1;this.addCurrentVertex(f,b,j,j,d)}else\"round\"===C&&(g&&(this.addCurrentVertex(f,m,0,0,d),this.addCurrentVertex(f,m,1,1,d,!0)),v&&(this.addCurrentVertex(f,y,-1,-1,d,!0),this.addCurrentVertex(f,y,0,0,d)));if(M&&x<u-1){var V=f.dist(v);if(V>2*p){var U=f.add(v.sub(f)._mult(p/V)._round());this.updateDistance(f,U),this.addCurrentVertex(U,y,0,0,d),f=U}}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e,o,s)}},Zo.prototype.addCurrentVertex=function(t,e,r,n,a,i){void 0===i&&(i=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,i,!1,r,a),this.addHalfVertex(t,l,c,i,!0,-n,a),this.distance>Xo/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,a,i))},Zo.prototype.addHalfVertex=function(t,e,r,n,a,i,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(a?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===i?0:i<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),a?this.e2=u:this.e1=u},Zo.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Xo-1):this.distance},dn(\"LineBucket\",Zo,{omit:[\"layers\",\"patternFeatures\"]});var Jo=new Gn({\"line-cap\":new jn(Tt.layout_line[\"line-cap\"]),\"line-join\":new Vn(Tt.layout_line[\"line-join\"]),\"line-miter-limit\":new jn(Tt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new jn(Tt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Vn(Tt.layout_line[\"line-sort-key\"])}),Ko={paint:new Gn({\"line-opacity\":new Vn(Tt.paint_line[\"line-opacity\"]),\"line-color\":new Vn(Tt.paint_line[\"line-color\"]),\"line-translate\":new jn(Tt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new jn(Tt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Vn(Tt.paint_line[\"line-width\"]),\"line-gap-width\":new Vn(Tt.paint_line[\"line-gap-width\"]),\"line-offset\":new Vn(Tt.paint_line[\"line-offset\"]),\"line-blur\":new Vn(Tt.paint_line[\"line-blur\"]),\"line-dasharray\":new qn(Tt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Un(Tt.paint_line[\"line-pattern\"]),\"line-gradient\":new Hn(Tt.paint_line[\"line-gradient\"])}),layout:Jo},Qo=new(function(t){function e(){t.apply(this,arguments)}return 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t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Ii(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),this.paint._values[\"line-floorwidth\"]=Qo.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new Zo(t)},e.prototype.queryRadius=function(t){var e=t,r=ts(mi(\"line-width\",this,e),mi(\"line-gap-width\",this,e)),n=mi(\"line-offset\",this,e);return r/2+Math.abs(n)+yi(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=xi(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*ts(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],h=o[l+1],f=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:h.sub(u)._unit()._perp(),d=f._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var a=e[n];if(t.length>=3)for(var i=0;i<a.length;i++)if(gi(t,a[i]))return!0;if(ci(t,a,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Yn);function ts(t,e){return e>0?e+2*t:t}var 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os(t,e,r){return t.sections.forEach(function(t){t.text=function(t,e,r){var 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hs(t,e,r,n,a,i,o,s,l,c,u){var h,f=us.fromFeature(t,r);c===cs.vertical&&f.verticalizePunctuation();var p=Cn.processBidirectionalText,d=Cn.processStyledBidirectionalText;if(p&&1===f.sections.length){h=[];for(var g=0,v=p(f.toString(),ms(f,s,n,e));g<v.length;g+=1){var m=v[g],y=new us;y.text=m,y.sections=f.sections;for(var x=0;x<m.length;x++)y.sectionIndex.push(0);h.push(y)}}else if(d){h=[];for(var b=0,_=d(f.text,f.sectionIndex,ms(f,s,n,e));b<_.length;b+=1){var w=_[b],k=new us;k.text=w[0],k.sectionIndex=w[1],k.sections=f.sections,h.push(k)}}else h=function(t,e){for(var r=[],n=t.text,a=0,i=0,o=e;i<o.length;i+=1){var s=o[i];r.push(t.substring(a,s)),a=s}return a<n.length&&r.push(t.substring(a,n.length)),r}(f,ms(f,s,n,e));var T=[],M={positionedGlyphs:T,text:f.toString(),top:l[1],bottom:l[1],left:l[0],right:l[0],writingMode:c,lineCount:h.length,yOffset:-17};return function(t,e,r,n,a,i,o,s,l){for(var c=0,u=t.yOffset,h=0,f=t.positionedGlyphs,p=\"right\"===i?1:\"left\"===i?0:.5,d=0,g=r;d<g.length;d+=1){var v=g[d];v.trim();var m=v.getMaxScale();if(v.length()){for(var y=f.length,x=0;x<v.length();x++){var b=v.getSection(x),_=v.getSectionIndex(x),w=v.getCharCode(x),k=24*(m-b.scale),T=e[b.fontStack],M=T&&T[w];M&&(o===cs.horizontal||!l&&!wn(w)||l&&(fs[w]||(S=w,xn.Arabic(S)||xn[\"Arabic Supplement\"](S)||xn[\"Arabic Extended-A\"](S)||xn[\"Arabic Presentation Forms-A\"](S)||xn[\"Arabic Presentation Forms-B\"](S)))?(f.push({glyph:w,x:c,y:u+k,vertical:!1,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=M.metrics.advance*b.scale+s):(f.push({glyph:w,x:c,y:u+k,vertical:!0,scale:b.scale,fontStack:b.fontStack,sectionIndex:_}),c+=ls*b.scale+s))}if(f.length!==y){var A=c-s;h=Math.max(A,h),xs(f,e,y,f.length-1,p)}c=0,u+=n*m}else u+=n}var S,E=ys(a),L=E.horizontalAlign,C=E.verticalAlign;!function(t,e,r,n,a,i,o){for(var s=(e-r)*a,l=(-n*o+.5)*i,c=0;c<t.length;c++)t[c].x+=s,t[c].y+=l}(f,p,L,C,h,n,r.length);var P=u-t.yOffset;t.top+=-C*P,t.bottom=t.top+P,t.left+=-L*h,t.right=t.left+h}(M,e,h,a,i,o,c,s,u),!!T.length&&M}us.fromFeature=function(t,e){for(var r=new us,n=0;n<t.sections.length;n++){var a=t.sections[n];r.sections.push({scale:a.scale||1,fontStack:a.fontStack||e}),r.text+=a.text;for(var i=0;i<a.text.length;i++)r.sectionIndex.push(n)}return r},us.prototype.length=function(){return this.text.length},us.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},us.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},us.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},us.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,a=t.charCodeAt(r-1)||null;n&&kn(n)&&!ss[t[r+1]]||a&&kn(a)&&!ss[t[r-1]]||!ss[t[r]]?e+=t[r]:e+=ss[t[r]]}return 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s=n[i],l=n[o];return\"composite\"===r.kind?{kind:\"composite\",minZoom:s,maxZoom:l,interpolationType:a}:{kind:\"camera\",minZoom:s,maxZoom:l,minSize:r.evaluate(new Pn(s)),maxSize:r.evaluate(new Pn(l)),interpolationType:a}}function ks(t,e,r){var n=e.uSize,a=e.uSizeT,i=r.lowerSize,o=r.upperSize;return\"source\"===t.kind?i/_s:\"composite\"===t.kind?ye(i/_s,o/_s,a):n}function Ts(t,e){var r=0,n=0;if(\"constant\"===t.kind)n=t.layoutSize;else if(\"source\"!==t.kind){var a=t.interpolationType,i=t.minZoom,o=t.maxZoom,s=a?c(Ne.interpolationFactor(a,e,i,o),0,1):0;\"camera\"===t.kind?n=ye(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Ms=Object.freeze({getSizeData:ws,evaluateSizeForFeature:ks,evaluateSizeForZoom:Ts,SIZE_PACK_FACTOR:_s}),As=Io.VectorTileFeature.types,Ss=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Es(t,e,r,n,a,i,o,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*a),i,o,s?s[0]:0,s?s[1]:0)}function Ls(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}var Cs=function(t){this.layoutVertexArray=new na,this.indexArray=new da,this.programConfigurations=t,this.segments=new Oa,this.dynamicLayoutVertexArray=new aa,this.opacityVertexArray=new ia,this.placedSymbolArray=new wa};Cs.prototype.upload=function(t,e,r,n){r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,es.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,rs.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,Ss,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t)},Cs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},dn(\"SymbolBuffers\",Cs);var Ps=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Oa,this.collisionVertexArray=new la};Ps.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,ns.members,!0)},Ps.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},dn(\"CollisionBuffers\",Ps);var Os=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map(function(t){return t.id}),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasPaintOverrides=!1;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=ws(this.zoom,e[\"text-size\"]),this.iconSizeData=ws(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),a=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==a&&void 0!==n.constantOr(1);var i=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=i&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map(function(t){return cs[t]})),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};Os.prototype.createArrays=function(){var t=this.layers[0].layout;this.hasPaintOverrides=Rs.hasPaintOverrides(t),this.text=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new Cs(new Qa(es.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new Ps(sa,as.members,ga),this.collisionCircle=new Ps(sa,is.members,da),this.glyphOffsetArray=new Aa,this.lineVertexArray=new Ea,this.symbolInstances=new Ta},Os.prototype.calculateGlyphDependencies=function(t,e,r,n,a){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,(r||n)&&a){var o=ss[t.charAt(i)];o&&(e[o.charCodeAt(0)]=!0)}},Os.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,a=n.get(\"text-font\"),i=n.get(\"text-field\"),o=n.get(\"icon-image\"),s=(\"constant\"!==i.value.kind||i.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),l=\"constant\"!==o.value.kind||o.value.value&&o.value.value.length>0,c=n.get(\"symbol-sort-key\");if(this.features=[],s||l){for(var u=e.iconDependencies,h=e.glyphDependencies,f=new Pn(this.zoom),p=0,d=t;p<d.length;p+=1){var g=d[p],v=g.feature,m=g.index,y=g.sourceLayerIndex;if(r._featureFilter(f,v)){var x=void 0;if(s){var b=r.getValueAndResolveTokens(\"text-field\",v);x=os(b instanceof Jt?b:Jt.fromString(b),r,v)}var _=void 0;if(l&&(_=r.getValueAndResolveTokens(\"icon-image\",v)),x||_){var w=this.sortFeaturesByKey?c.evaluate(v,{}):void 0,k={text:x,icon:_,index:m,sourceLayerIndex:y,geometry:ni(v),properties:v.properties,type:As[v.type],sortKey:w};if(void 0!==v.id&&(k.id=v.id),this.features.push(k),_&&(u[_]=!0),x){var T=a.evaluate(v,{}).join(\",\"),M=\"map\"===n.get(\"text-rotation-alignment\")&&\"point\"!==n.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(cs.vertical)>=0;for(var A=0,S=x.sections;A<S.length;A+=1){var E=S[A],L=bn(x.toString()),C=E.fontStack||T,P=h[C]=h[C]||{};this.calculateGlyphDependencies(E.text,P,M,this.allowVerticalPlacement,L)}}}}}\"line\"===n.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],a=0;function i(e){n.push(t[e]),a++}function o(t,e,a){var i=r[t];return delete r[t],r[e]=i,n[i].geometry[0].pop(),n[i].geometry[0]=n[i].geometry[0].concat(a[0]),i}function s(t,r,a){var i=e[r];return delete e[r],e[t]=i,n[i].geometry[0].shift(),n[i].geometry[0]=a[0].concat(n[i].geometry[0]),i}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(f){var p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,h),v=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[v].geometry,!0)]=v,n[g].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(i(c),e[p]=a-1,r[d]=a-1)}else i(c)}return n.filter(function(t){return t.geometry})}(this.features)),this.sortFeaturesByKey&&this.features.sort(function(t,e){return t.sortKey-e.sortKey})}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Os.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.collisionBox.upload(t),this.collisionCircle.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Os.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy()},Os.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),a=t.dist(e[t.segment]),i={},o=t.segment+1;o<e.length;o++)i[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)i[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:a},s>0&&(a+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=i[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Os.prototype.addSymbols=function(t,e,r,n,a,i,o,s,l,c){var u=this,h=t.indexArray,f=t.layoutVertexArray,p=t.dynamicLayoutVertexArray,d=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray,i.sortKey),g=this.glyphOffsetArray.length,v=d.vertexLength,m=this.allowVerticalPlacement&&o===cs.vertical?Math.PI/2:0,y=function(t){var e=t.tl,n=t.tr,a=t.bl,i=t.br,o=t.tex,l=d.vertexLength,c=t.glyphOffset[1];Es(f,s.x,s.y,e.x,c+e.y,o.x,o.y,r),Es(f,s.x,s.y,n.x,c+n.y,o.x+o.w,o.y,r),Es(f,s.x,s.y,a.x,c+a.y,o.x,o.y+o.h,r),Es(f,s.x,s.y,i.x,c+i.y,o.x+o.w,o.y+o.h,r),Ls(p,s,m),h.emplaceBack(l,l+1,l+2),h.emplaceBack(l+1,l+2,l+3),d.vertexLength+=4,d.primitiveLength+=2,u.glyphOffsetArray.emplaceBack(t.glyphOffset[0])};if(i.text&&i.text.sections){var x=i.text.sections;if(this.hasPaintOverrides){for(var b,_=function(e,r){void 0===b||b===e&&!r||t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[b]),b=e},w=0,k=e;w<k.length;w+=1){var T=k[w];_(T.sectionIndex,!1),y(T)}_(b,!0)}else{for(var M=0,A=e;M<A.length;M+=1)y(A[M]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{},x[0])}}else{for(var S=0,E=e;S<E.length;S+=1)y(E[S]);t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,i,i.index,{})}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,v,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0)},Os.prototype._addCollisionDebugVertex=function(t,e,r,n,a,i){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,a,Math.round(i.x),Math.round(i.y))},Os.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s,l){var c=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=c.vertexLength,h=i.layoutVertexArray,f=i.collisionVertexArray,p=s.anchorX,d=s.anchorY;if(this._addCollisionDebugVertex(h,f,o,p,d,new a(t,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,e)),this._addCollisionDebugVertex(h,f,o,p,d,new a(r,n)),this._addCollisionDebugVertex(h,f,o,p,d,new a(t,n)),c.vertexLength+=4,l){var g=i.indexArray;g.emplaceBack(u,u+1,u+2),g.emplaceBack(u,u+2,u+3),c.primitiveLength+=2}else{var v=i.indexArray;v.emplaceBack(u,u+1),v.emplaceBack(u+1,u+2),v.emplaceBack(u+2,u+3),v.emplaceBack(u+3,u),c.primitiveLength+=4}},Os.prototype.addDebugCollisionBoxes=function(t,e,r){for(var n=t;n<e;n++){var a=this.collisionBoxArray.get(n),i=a.x1,o=a.y1,s=a.x2,l=a.y2,c=a.radius>0;this.addCollisionDebugVertices(i,o,s,l,c?this.collisionCircle:this.collisionBox,a.anchorPoint,r,c)}},Os.prototype.generateCollisionDebugBuffers=function(){for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e)}},Os.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,a,i,o){for(var s={},l=e;l<r;l++){var c=t.get(l);if(0===c.radius){s.textBox={x1:c.x1,y1:c.y1,x2:c.x2,y2:c.y2,anchorPointX:c.anchorPointX,anchorPointY:c.anchorPointY},s.textFeatureIndex=c.featureIndex;break}s.textCircles||(s.textCircles=[],s.textFeatureIndex=c.featureIndex),s.textCircles.push(c.anchorPointX,c.anchorPointY,c.radius,c.signedDistanceFromAnchor,1)}for(var u=n;u<a;u++){var h=t.get(u);if(0===h.radius){s.verticalTextBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},s.verticalTextFeatureIndex=h.featureIndex;break}}for(var f=i;f<o;f++){var p=t.get(f);if(0===p.radius){s.iconBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},s.iconFeatureIndex=p.featureIndex;break}}return s},Os.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex))}},Os.prototype.hasTextData=function(){return this.text.segments.get().length>0},Os.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Os.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Os.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Os.prototype.addIndicesForPlacedTextSymbol=function(t){for(var e=this.text.placedSymbolArray.get(t),r=e.vertexStartIndex+4*e.numGlyphs,n=e.vertexStartIndex;n<r;n+=4)this.text.indexArray.emplaceBack(n,n+1,n+2),this.text.indexArray.emplaceBack(n+1,n+2,n+3)},Os.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],a=[],i=[],o=0;o<this.symbolInstances.length;++o){i.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),a.push(s.featureIndex)}return i.sort(function(t,e){return n[t]-n[e]||a[e]-a[t]}),i},Os.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var a=n[r],i=this.symbolInstances.get(a);this.featureSortOrder.push(i.featureIndex),[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach(function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedTextSymbol(t)}),i.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedTextSymbol(i.verticalPlacedTextSymbolIndex);var o=this.icon.placedSymbolArray.get(a);if(o.numGlyphs){var s=o.vertexStartIndex;this.icon.indexArray.emplaceBack(s,s+1,s+2),this.icon.indexArray.emplaceBack(s+1,s+2,s+3)}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},dn(\"SymbolBucket\",Os,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Os.MAX_GLYPHS=65535,Os.addDynamicAttributes=Ls;var zs=new Gn({\"symbol-placement\":new jn(Tt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new jn(Tt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new jn(Tt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Vn(Tt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new jn(Tt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new jn(Tt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new jn(Tt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new jn(Tt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new jn(Tt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Vn(Tt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new jn(Tt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new jn(Tt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Vn(Tt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Vn(Tt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new jn(Tt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new jn(Tt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Vn(Tt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Vn(Tt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new jn(Tt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new jn(Tt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new jn(Tt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Vn(Tt.layout_symbol[\"text-field\"]),\"text-font\":new Vn(Tt.layout_symbol[\"text-font\"]),\"text-size\":new Vn(Tt.layout_symbol[\"text-size\"]),\"text-max-width\":new Vn(Tt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new jn(Tt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Vn(Tt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Vn(Tt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Vn(Tt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new jn(Tt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Vn(Tt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new jn(Tt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new jn(Tt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Vn(Tt.layout_symbol[\"text-rotate\"]),\"text-padding\":new jn(Tt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new jn(Tt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Vn(Tt.layout_symbol[\"text-transform\"]),\"text-offset\":new Vn(Tt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new jn(Tt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new jn(Tt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new jn(Tt.layout_symbol[\"text-optional\"])}),Is={paint:new Gn({\"icon-opacity\":new Vn(Tt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Vn(Tt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Vn(Tt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Vn(Tt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Vn(Tt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new jn(Tt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new jn(Tt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Vn(Tt.paint_symbol[\"text-opacity\"]),\"text-color\":new Vn(Tt.paint_symbol[\"text-color\"],{runtimeType:Ft,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Vn(Tt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Vn(Tt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Vn(Tt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new jn(Tt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new jn(Tt.paint_symbol[\"text-translate-anchor\"])}),layout:zs},Ds=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:zt,this.defaultValue=t};Ds.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Ds.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Ds.prototype.possibleOutputs=function(){return[void 0]},Ds.prototype.serialize=function(){return null},dn(\"FormatSectionOverride\",Ds,{omit:[\"defaultValue\"]});var Rs=function(t){function e(e){t.call(this,e,Is)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){if(t.prototype.recalculate.call(this,e),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var r=this.layout.get(\"text-writing-mode\");if(r){for(var n=[],a=0,i=r;a<i.length;a+=1){var o=i[a];n.indexOf(o)<0&&n.push(o)}this.layout._values[\"text-writing-mode\"]=n}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e){var r=this.layout.get(t).evaluate(e,{}),n=this._unevaluatedLayout._values[t];return n.isDataDriven()||wr(n.value)?r:function(t,e){return r.replace(/{([^{}]+)}/g,function(e,r){return r in t?String(t[r]):\"\"})}(e.properties)},e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Is.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var a,i=this.paint.get(n),o=new Ds(i),s=new _r(o,i.property.specification);a=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Tr(\"source\",s):new Mr(\"composite\",s,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new Bn(i.property,a,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Is.paint.properties[e],a=!1,i=function(t){for(var e=0,r=t;e<r.length;e+=1){var i=r[e];if(n.overrides&&n.overrides.hasOverride(i))return void(a=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof Jt)i(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!a)if(t instanceof te&&Qt(t.value)===Vt){var e=t.value;i(e.sections)}else t instanceof ae?i(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return a},e.hasPaintOverrides=function(t){for(var r=0,n=Is.paint.overridableProperties;r<n.length;r+=1){var a=n[r];if(e.hasPaintOverride(t,a))return!0}return!1},e}(Yn),Fs={paint:new Gn({\"background-color\":new jn(Tt.paint_background[\"background-color\"]),\"background-pattern\":new qn(Tt.paint_background[\"background-pattern\"]),\"background-opacity\":new jn(Tt.paint_background[\"background-opacity\"])})},Bs=function(t){function e(e){t.call(this,e,Fs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Ns={paint:new Gn({\"raster-opacity\":new jn(Tt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new jn(Tt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new jn(Tt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new jn(Tt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new jn(Tt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new jn(Tt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new jn(Tt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new jn(Tt.paint_raster[\"raster-fade-duration\"])})},js=function(t){function e(e){t.call(this,e,Ns)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yn),Vs=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yn),Us={circle:Mi,heatmap:Di,hillshade:Fi,fill:To,\"fill-extrusion\":Uo,line:$o,symbol:Rs,background:Bs,raster:js};function qs(t){for(var e=0,r=0,n=0,a=t;n<a.length;n+=1){var i=a[n];e+=i.w*i.h,r=Math.max(r,i.w)}t.sort(function(t,e){return e.h-t.h});for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var Hs=function(t,e){var r=e.pixelRatio,n=e.version;this.paddedRect=t,this.pixelRatio=r,this.version=n},Gs={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};Gs.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},Gs.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},Gs.tlbr.get=function(){return this.tl.concat(this.br)},Gs.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(Hs.prototype,Gs);var Ys=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var a=[];this.addImages(t,r,a),this.addImages(e,n,a);var i=qs(a),o=i.w,s=i.h,l=new Oi({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Oi.copy(u.data,l,{x:0,y:0},{x:h.x+1,y:h.y+1},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,g=d.x+1,v=d.y+1,m=p.data.width,y=p.data.height;Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v},p.data),Oi.copy(p.data,l,{x:0,y:y-1},{x:g,y:v-1},{width:m,height:1}),Oi.copy(p.data,l,{x:0,y:0},{x:g,y:v+y},{width:m,height:1}),Oi.copy(p.data,l,{x:m-1,y:0},{x:g-1,y:v},{width:1,height:y}),Oi.copy(p.data,l,{x:0,y:0},{x:g+m,y:v},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ys.prototype.addImages=function(t,e,r){for(var n in t){var a=t[n],i={x:0,y:0,w:a.data.width+2,h:a.data.height+2};r.push(i),e[n]=new Hs(i,a),a.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ys.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ys.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,a=n[0],i=n[1];r.update(e.data,void 0,{x:a,y:i})}},dn(\"ImagePosition\",Hs),dn(\"ImageAtlas\",Ys);var Ws=self.HTMLImageElement,Xs=self.HTMLCanvasElement,Zs=self.HTMLVideoElement,Js=self.ImageData,Ks=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ks.prototype.update=function(t,e,r){var n=t.width,a=t.height,i=!(this.size&&this.size[0]===n&&this.size[1]===a||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),i)this.size=[n,a],t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,a,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Ws||t instanceof Xs||t instanceof Zs||t instanceof Js?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,a,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ks.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Ks.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ks.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Qs=function(t,e,r,n,a){var i,o,s=8*a-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?a-1:0,f=r?-1:1,p=t[e+h];for(h+=f,i=p&(1<<-u)-1,p>>=-u,u+=s;u>0;i=256*i+t[e+h],h+=f,u-=8);for(o=i&(1<<-u)-1,i>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===i)i=1-c;else{if(i===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),i-=c}return(p?-1:1)*o*Math.pow(2,i-n)},$s=function(t,e,r,n,a,i){var o,s,l,c=8*i-a-1,u=(1<<c)-1,h=u>>1,f=23===a?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:i-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,a),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,a),o=0));a>=8;t[r+p]=255&s,p+=d,s/=256,a-=8);for(o=o<<a|s,c+=a;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},tl=el;function el(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}function rl(t){return t.type===el.Bytes?t.readVarint()+t.pos:t.pos+1}function nl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function al(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var a=r.pos-1;a>=t;a--)r.buf[a+n]=r.buf[a]}function il(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function ol(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function sl(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function ll(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function cl(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function ul(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function fl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function pl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function dl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function gl(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function vl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}el.Varint=0,el.Fixed64=1,el.Bytes=2,el.Fixed32=5,el.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var n=this.readVarint(),a=n>>3,i=this.pos;this.type=7&n,t(a,e,this),this.pos===i&&this.skip(n)}return e},readMessage:function(t,e){return this.readFields(t,e,this.readVarint()+this.pos)},readFixed32:function(){var t=dl(this.buf,this.pos);return this.pos+=4,t},readSFixed32:function(){var t=vl(this.buf,this.pos);return this.pos+=4,t},readFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*dl(this.buf,this.pos+4);return this.pos+=8,t},readSFixed64:function(){var t=dl(this.buf,this.pos)+4294967296*vl(this.buf,this.pos+4);return this.pos+=8,t},readFloat:function(){var t=Qs(this.buf,this.pos,!0,23,4);return this.pos+=4,t},readDouble:function(){var t=Qs(this.buf,this.pos,!0,52,8);return this.pos+=8,t},readVarint:function(t){var e,r,n=this.buf;return e=127&(r=n[this.pos++]),r<128?e:(e|=(127&(r=n[this.pos++]))<<7,r<128?e:(e|=(127&(r=n[this.pos++]))<<14,r<128?e:(e|=(127&(r=n[this.pos++]))<<21,r<128?e:function(t,e,r){var n,a,i=r.buf;if(n=(112&(a=i[r.pos++]))>>4,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<3,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<10,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<17,a<128)return nl(t,n,e);if(n|=(127&(a=i[r.pos++]))<<24,a<128)return nl(t,n,e);if(n|=(1&(a=i[r.pos++]))<<31,a<128)return nl(t,n,e);throw new Error(\"Expected varint not more than 10 bytes\")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=function(t,e,r){for(var n=\"\",a=e;a<r;){var i,o,s,l=t[a],c=null,u=l>239?4:l>223?3:l>191?2:1;if(a+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(i=t[a+1]))&&(c=(31&l)<<6|63&i)<=127&&(c=null):3===u?(i=t[a+1],o=t[a+2],128==(192&i)&&128==(192&o)&&((c=(15&l)<<12|(63&i)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(i=t[a+1],o=t[a+2],s=t[a+3],128==(192&i)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&i)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),a+=u}return n}(this.buf,this.pos,t);return this.pos=t,e},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==el.Bytes)return t.push(this.readVarint(e));var r=rl(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==el.Bytes)return t.push(this.readSVarint());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==el.Bytes)return t.push(this.readBoolean());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==el.Bytes)return t.push(this.readFloat());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==el.Bytes)return t.push(this.readDouble());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed32());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==el.Bytes)return t.push(this.readSFixed64());var e=rl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===el.Varint)for(;this.buf[this.pos++]>127;);else if(e===el.Bytes)this.pos=this.readVarint()+this.pos;else if(e===el.Fixed32)this.pos+=4;else{if(e!==el.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),gl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),gl(this.buf,-1&t,this.pos),gl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,a,i=0;i<e.length;i++){if((n=e.charCodeAt(i))>55295&&n<57344){if(!a){n>56319||i+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):a=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,a=n;continue}n=a-55296<<10|n-56320|65536,a=null}else a&&(t[r++]=239,t[r++]=191,t[r++]=189,a=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&al(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),$s(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),$s(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&al(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,el.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,il,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,ol,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,cl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,sl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ll,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ul,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,pl,e)},writeBytesField:function(t,e){this.writeTag(t,el.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,el.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,el.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,el.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,el.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,el.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,el.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var ml=3;function yl(t,e,r){1===t&&r.readMessage(xl,e)}function xl(t,e,r){if(3===t){var n=r.readMessage(bl,{}),a=n.id,i=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:a,bitmap:new Pi({width:o+2*ml,height:s+2*ml},i),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function bl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var _l=ml,wl=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};wl.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout(function(){t._triggered=!1,t._callback()},0))};var kl=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new wl(this.process),this.target.addEventListener(\"message\",this.receive,!1)};function Tl(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}kl.prototype.send=function(t,e,r,n){var a=this,i=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[i]=r);var o=[];return this.target.postMessage({id:i,type:t,hasCallback:!!r,targetMapId:n,sourceMapId:this.mapId,data:vn(e,o)},o),{cancel:function(){r&&delete a.callbacks[i],a.target.postMessage({id:i,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},kl.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()},kl.prototype.process=function(){var t=this;if(this.taskQueue.length){var e=this.taskQueue.shift(),r=this.tasks[e];if(delete this.tasks[e],this.taskQueue.length&&this.invoker.trigger(),r)if(\"<response>\"===r.type){var n=this.callbacks[e];delete this.callbacks[e],n&&(r.error?n(mn(r.error)):n(null,mn(r.data)))}else{var a=!1,i=r.hasCallback?function(r,n){a=!0,delete t.cancelCallbacks[e];var i=[];t.target.postMessage({id:e,type:\"<response>\",sourceMapId:t.mapId,error:r?vn(r):null,data:vn(n,i)},i)}:function(t){a=!0},o=null,s=mn(r.data);if(this.parent[r.type])o=this.parent[r.type](r.sourceMapId,s,i);else if(this.parent.getWorkerSource){var l=r.type.split(\".\");o=this.parent.getWorkerSource(r.sourceMapId,l[0],s.source)[l[1]](s,i)}else i(new Error(\"Could not find function \"+r.type));!a&&o&&o.cancel&&(this.cancelCallbacks[e]=o.cancel)}}},kl.prototype.remove=function(){this.target.removeEventListener(\"message\",this.receive,!1)};var Ml=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Ml.prototype.setNorthEast=function(t){return this._ne=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.setSouthWest=function(t){return this._sw=t instanceof Al?new Al(t.lng,t.lat):Al.convert(t),this},Ml.prototype.extend=function(t){var e,r,n=this._sw,a=this._ne;if(t instanceof Al)e=t,r=t;else{if(!(t instanceof Ml))return Array.isArray(t)?t.every(Array.isArray)?this.extend(Ml.convert(t)):this.extend(Al.convert(t)):this;if(e=t._sw,r=t._ne,!e||!r)return this}return n||a?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),a.lng=Math.max(r.lng,a.lng),a.lat=Math.max(r.lat,a.lat)):(this._sw=new Al(e.lng,e.lat),this._ne=new Al(r.lng,r.lat)),this},Ml.prototype.getCenter=function(){return new Al((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Ml.prototype.getSouthWest=function(){return this._sw},Ml.prototype.getNorthEast=function(){return this._ne},Ml.prototype.getNorthWest=function(){return new Al(this.getWest(),this.getNorth())},Ml.prototype.getSouthEast=function(){return new Al(this.getEast(),this.getSouth())},Ml.prototype.getWest=function(){return this._sw.lng},Ml.prototype.getSouth=function(){return this._sw.lat},Ml.prototype.getEast=function(){return this._ne.lng},Ml.prototype.getNorth=function(){return this._ne.lat},Ml.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Ml.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Ml.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Ml.convert=function(t){return!t||t instanceof Ml?t:new Ml(t)};var Al=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Al.prototype.wrap=function(){return new Al(u(this.lng,-180,180),this.lat)},Al.prototype.toArray=function(){return[this.lng,this.lat]},Al.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Al.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Ml(new Al(this.lng-r,this.lat-e),new Al(this.lng+r,this.lat+e))},Al.convert=function(t){if(t instanceof Al)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Al(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Al(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Sl=2*Math.PI*6378137;function El(t){return Sl*Math.cos(t*Math.PI/180)}function Ll(t){return(180+t)/360}function Cl(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Pl(t,e){return t/El(e)}function Ol(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var zl=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};zl.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Al.convert(t);return new zl(Ll(r.lng),Cl(r.lat),Pl(e,r.lat))},zl.prototype.toLngLat=function(){return new Al(360*this.x-180,Ol(this.y))},zl.prototype.toAltitude=function(){return this.z*El(Ol(this.y))},zl.prototype.meterInMercatorCoordinateUnits=function(){return 1/Sl*(t=Ol(this.y),1/Math.cos(t*Math.PI/180));var t};var Il=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Fl(0,t,e,r)};Il.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Il.prototype.url=function(t,e){var r,n,a,i,o,s=(r=this.x,n=this.y,a=this.z,i=Tl(256*r,256*(n=Math.pow(2,a)-n-1),a),o=Tl(256*(r+1),256*(n+1),a),i[0]+\",\"+i[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,a=\"\",i=t;i>0;i--)a+=(e&(n=1<<i-1)?1:0)+(r&n?2:0);return a}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Il.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*ei,(t.y*e-this.y)*ei)};var Dl=function(t,e){this.wrap=t,this.canonical=e,this.key=Fl(t,e.z,e.x,e.y)},Rl=function(t,e,r,n,a){this.overscaledZ=t,this.wrap=e,this.canonical=new Il(r,+n,+a),this.key=Fl(e,t,n,a)};function Fl(t,e,r,n){(t*=2)<0&&(t=-1*t-1);var a=1<<e;return 32*(a*a*t+a*n+r)+e}Rl.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Rl.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Rl(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Rl(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Rl.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Rl.prototype.children=function(t){if(this.overscaledZ>=t)return[new Rl(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Rl(e,this.wrap,e,r,n),new Rl(e,this.wrap,e,r+1,n),new Rl(e,this.wrap,e,r,n+1),new Rl(e,this.wrap,e,r+1,n+1)]},Rl.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Rl.prototype.wrapped=function(){return new Rl(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.unwrapTo=function(t){return new Rl(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Rl.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Rl.prototype.toUnwrapped=function(){return new Dl(this.wrap,this.canonical)},Rl.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Rl.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new zl(t.x-this.wrap,t.y))},dn(\"CanonicalTileID\",Il),dn(\"OverscaledTileID\",Rl,{omit:[\"posMatrix\"]});var Bl=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');var n=this.dim=e.height;this.stride=this.dim+2,this.data=new Int32Array(this.stride*this.stride);for(var a=e.data,i=\"terrarium\"===r?this._unpackTerrarium:this._unpackMapbox,o=0;o<n;o++)for(var s=0;s<n;s++){var l=4*(o*n+s);this.set(s,o,i(a[l],a[l+1],a[l+2]))}for(var c=0;c<n;c++)this.set(-1,c,this.get(0,c)),this.set(n,c,this.get(n-1,c)),this.set(c,-1,this.get(c,0)),this.set(c,n,this.get(c,n-1));this.set(-1,-1,this.get(0,0)),this.set(n,-1,this.get(n-1,0)),this.set(-1,n,this.get(0,n-1)),this.set(n,n,this.get(n-1,n-1))};Bl.prototype.set=function(t,e,r){this.data[this._idx(t,e)]=r+65536},Bl.prototype.get=function(t,e){return this.data[this._idx(t,e)]-65536},Bl.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Bl.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Bl.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Bl.prototype.getPixels=function(){return new Oi({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Bl.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,a=e*this.dim+this.dim,i=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=a-1;break;case 1:a=n+1}switch(r){case-1:i=o-1;break;case 1:o=i+1}for(var s=-e*this.dim,l=-r*this.dim,c=i;c<o;c++)for(var u=n;u<a;u++)this.set(u,c,t.get(u+s,c+l))},dn(\"DEMData\",Bl);var Nl=Jn([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),jl=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};jl.prototype.encode=function(t){return this._stringToNumber[t]},jl.prototype.decode=function(t){return this._numberToString[t]};var Vl=function(t,e,r,n){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,null!=t.id&&(this.id=t.id)},Ul={geometry:{configurable:!0}};Ul.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},Ul.geometry.set=function(t){this._geometry=t},Vl.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Vl.prototype,Ul);var ql=function(){this.state={},this.stateChanges={},this.deletedStates={}};ql.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},h(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var a in this.deletedStates[t]={},this.state[t])a!==n&&(this.deletedStates[t][a]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var i in this.deletedStates[t][n]={},this.state[t][n])r[i]||(this.deletedStates[t][n][i]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},ql.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e&&e>=0)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e&&e>=0)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},ql.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},a=this.stateChanges[t]||{},i=h({},n[r],a[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete i[s]}return i},ql.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},ql.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var a={};for(var i in this.stateChanges[n])this.state[n][i]||(this.state[n][i]={}),h(this.state[n][i],this.stateChanges[n][i]),a[i]=this.state[n][i];r[n]=a}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,f=Object.keys(this.deletedStates[o][c]);u<f.length;u+=1){var p=f[u];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},h(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Hl=function(t,e,r){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=e||new cn(ei,16,0),this.grid3D=new cn(ei,16,0),this.featureIndexArray=r||new Ca};function Gl(t){for(var e=1/0,r=1/0,n=-1/0,a=-1/0,i=0,o=t;i<o.length;i+=1){var s=o[i];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),a=Math.max(a,s.y)}return{minX:e,minY:r,maxX:n,maxY:a}}function Yl(t,e){return e-t}Hl.prototype.insert=function(t,e,r,n,a,i){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,a);for(var s=i?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],h=0;h<c.length;h++){var f=c[h];u[0]=Math.min(u[0],f.x),u[1]=Math.min(u[1],f.y),u[2]=Math.max(u[2],f.x),u[3]=Math.max(u[3],f.y)}u[0]<ei&&u[1]<ei&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Hl.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Io.VectorTile(new tl(this.rawTileData)).layers,this.sourceLayerCoder=new jl(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Hl.prototype.query=function(t,e,r){var n=this;this.loadVTLayers();for(var i=t.params||{},o=ei/t.tileSize/t.scale,s=Rr(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=Gl(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=Gl(t.cameraQueryGeometry),p=0,d=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var c=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(gi(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(vi(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)});p<d.length;p+=1){var g=d[p];h.push(g)}h.sort(Yl);for(var v,m={},y=function(a){var c=h[a];if(c!==v){v=c;var u=n.featureIndexArray.get(c),f=null;n.loadMatchingFeature(m,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,e,function(e,a){f||(f=ni(e));var i={};return e.id&&(i=r.getState(a.sourceLayer||\"_geojsonTileLayer\",e.id)),a.queryIntersectsFeature(l,e,i,f,n.z,t.transform,o,t.pixelPosMatrix)})}},x=0;x<h.length;x++)y(x);return m},Hl.prototype.loadMatchingFeature=function(t,e,r,n,a,i,o,s){var l=this.bucketLayerIDs[e];if(!i||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(i,l)){var c=this.sourceLayerCoder.decode(r),u=this.vtLayers[c].feature(n);if(a(new Pn(this.tileID.overscaledZ),u))for(var h=0;h<l.length;h++){var f=l[h];if(!(i&&i.indexOf(f)<0)){var p=o[f];if(p){var d=!s||s(u,p);if(d){var g=new Vl(u,this.z,this.x,this.y);g.layer=p.serialize();var v=t[f];void 0===v&&(v=t[f]=[]),v.push({featureIndex:n,feature:g,intersectionZ:d})}}}}}},Hl.prototype.lookupSymbolFeatures=function(t,e,r,n,a,i){var o={};this.loadVTLayers();for(var s=Rr(n),l=0,c=t;l<c.length;l+=1){var u=c[l];this.loadMatchingFeature(o,e,r,u,s,a,i)}return o},Hl.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,a=r[e];n<a.length;n+=1)if(t===a[n])return!0;return!1},dn(\"FeatureIndex\",Hl,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Wl=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.expiredRequestCount=0,this.state=\"loading\"};function Xl(t,e,r,n,a){if(void 0===e.segment)return!0;for(var i=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(i),i=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var p=u.angleTo(h)-h.angleTo(f);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>a)return!1;o++,s+=h.dist(f)}return!0}function Zl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Jl(t,e,r){return t?.6*e*r:0}function Kl(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function Ql(t,e,r,n,a,i){for(var o=Jl(r,a,i),s=Kl(r,n)*i,l=0,c=Zl(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=ye(h.x,f.x,d),v=ye(h.y,f.y,d),m=new bs(g,v,f.angleTo(h),u);return m._round(),!o||Xl(t,m,s,o,e)?m:void 0}l+=p}}function $l(t,e,r,n,a,i,o,s,l){var c=Jl(n,i,o),u=Kl(n,a),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),function t(e,r,n,a,i,o,s,l,c){for(var u=o/2,h=Zl(e),f=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var v=e[g],m=e[g+1],y=v.dist(m),x=m.angleTo(v);p+n<f+y;){var b=((p+=n)-f)/y,_=ye(v.x,m.x,b),w=ye(v.y,m.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=h){var k=new bs(_,w,x,g);k._round(),a&&!Xl(e,k,o,a,i)||d.push(k)}}f+=y}return l||d.length||s||(d=t(e,f/2,n,a,i,o,s,!0,c)),d}(t,f?e/2*s%e:(u/2+2*i)*o*s%e,e,c,r,h,f,!1,l)}Wl.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<I.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Wl.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Wl.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=i[a],n=t.layerIds.map(function(t){return e.getLayer(t)}).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map(function(t){return n.filter(function(e){return e.id===t})[0]}));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},a=0,i=t;a<i.length;a+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var a=this.buckets[n];if(a instanceof Os){if(this.hasSymbolBuckets=!0,!r)break;a.justReloaded=!0}}for(var i in this.queryPadding=0,this.buckets){var o=this.buckets[i];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(i).queryRadius(o))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new ba},Wl.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Wl.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state=\"unloaded\"},Wl.prototype.getBucket=function(t){return this.buckets[t.id]},Wl.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Ks(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ks(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Wl.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Wl.prototype.queryRenderedFeatures=function(t,e,r,n,a,i,o,s,l){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:r,cameraQueryGeometry:n,scale:a,tileSize:this.tileSize,pixelPosMatrix:l,transform:o,params:i,queryPadding:this.queryPadding*s},t,e):{}},Wl.prototype.querySourceFeatures=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var r=this.latestFeatureIndex.loadVTLayers(),n=e?e.sourceLayer:\"\",a=r._geojsonTileLayer||r[n];if(a)for(var i=Rr(e&&e.filter),o=this.tileID.canonical,s=o.z,l=o.x,c=o.y,u={z:s,x:l,y:c},h=0;h<a.length;h++){var f=a.feature(h);if(i(new Pn(this.tileID.overscaledZ),f)){var p=new Vl(f,s,l,c);p.tile=u,t.push(p)}}}},Wl.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer)},Wl.prototype.setMask=function(t,e){if(!o(this.mask,t)&&(this.mask=t,this.clearMask(),!o(t,{0:!0}))){var r=new $n,n=new da;this.segments=new Oa,this.segments.prepareSegment(0,r,n);for(var i=Object.keys(t),s=0;s<i.length;s++){var l=t[+i[s]],c=ei>>l.z,u=new a(l.x*c,l.y*c),h=new a(u.x+c,u.y+c),f=this.segments.prepareSegment(4,r,n);r.emplaceBack(u.x,u.y,u.x,u.y),r.emplaceBack(h.x,u.y,h.x,u.y),r.emplaceBack(u.x,h.y,u.x,h.y),r.emplaceBack(h.x,h.y,h.x,h.y);var p=f.vertexLength;n.emplaceBack(p,p+1,p+2),n.emplaceBack(p+1,p+2,p+3),f.vertexLength+=4,f.primitiveLength+=2}this.maskedBoundsBuffer=e.createVertexBuffer(r,Nl.members),this.maskedIndexBuffer=e.createIndexBuffer(n)}},Wl.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Wl.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Wl.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),a=!1;if(this.expirationTime>n)a=!1;else if(e)if(this.expirationTime<e)a=!0;else{var i=this.expirationTime-e;i?this.expirationTime=n+Math.max(i,3e4):a=!0}else a=!0;a?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Wl.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Wl.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets){var a=this.buckets[n],i=a.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[i],s=t[i];o&&s&&0!==Object.keys(s).length&&(a.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{}),e&&e.style&&(this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(n).queryRadius(a))))}}},Wl.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Wl.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<I.now()},Wl.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Wl.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=I.now()+t};var tc=function(t,e,r,n,i,o,s,l,c,u,h,f){var p=s.top*l-c,d=s.bottom*l+c,g=s.left*l-c,v=s.right*l+c;if(this.boxStartIndex=t.length,u){var m=d-p,y=v-g;m>0&&(m=Math.max(10*l,m),this._addLineCollisionCircles(t,e,r,r.segment,y,m,n,i,o,h))}else{if(f){var x=new a(g,p),b=new a(v,p),_=new a(g,d),w=new a(v,d),k=f*Math.PI/180;x._rotate(k),b._rotate(k),_._rotate(k),w._rotate(k),g=Math.min(x.x,b.x,_.x,w.x),v=Math.max(x.x,b.x,_.x,w.x),p=Math.min(x.y,b.y,_.y,w.y),d=Math.max(x.y,b.y,_.y,w.y)}t.emplaceBack(r.x,r.y,g,p,v,d,n,i,o,0,0)}this.boxEndIndex=t.length};tc.prototype._addLineCollisionCircles=function(t,e,r,n,a,i,o,s,l,c){var u=i/2,h=Math.floor(a/u)||1,f=1+.4*Math.log(c)/Math.LN2,p=Math.floor(h*f/2),d=-i/2,g=r,v=n+1,m=d,y=-a/2,x=y-a/4;do{if(--v<0){if(m>y)return;v=0;break}m-=e[v].dist(g),g=e[v]}while(m>x);for(var b=e[v].dist(e[v+1]),_=-p;_<h+p;_++){var w=_*u,k=y+w;if(w<0&&(k+=w),w>a&&(k+=w-a),!(k<m)){for(;m+b<k;){if(m+=b,++v+1>=e.length)return;b=e[v].dist(e[v+1])}var T=k-m,M=e[v],A=e[v+1].sub(M)._unit()._mult(T)._add(M)._round(),S=Math.abs(k-d)<u?0:.8*(k-d);t.emplaceBack(A.x,A.y,-i/2,-i/2,i/2,i/2,o,s,l,i/2,S)}}};var ec=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=rc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function rc(t,e){return t<e?-1:t>e?1:0}function nc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<i)&&(i=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-i,p=Math.min(h,f),d=p/2,g=new ec([],ac);if(0===p)return new a(n,i);for(var v=n;v<o;v+=p)for(var m=i;m<s;m+=p)g.push(new ic(v+d,m+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,a=t[0],i=0,o=a.length,s=o-1;i<o;s=i++){var l=a[i],c=a[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new ic(r/e,n/e,0,t)}(t),x=g.length;g.length;){var b=g.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new ic(b.p.x-d,b.p.y-d,d,t)),g.push(new ic(b.p.x+d,b.p.y-d,d,t)),g.push(new ic(b.p.x-d,b.p.y+d,d,t)),g.push(new ic(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: 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_=t.length-3;p=t[_],d=t[_+1],g=t[_+2],(y=0===a?p:d)>=r&&y<=n&&vt(c,p,d,g),_=c.length-3,i&&_>=3&&(c[_]!==c[0]||c[_+1]!==c[1])&&vt(c,c[0],c[1],c[2]),c.length&&e.push(c)}function dt(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function gt(t,e,r,n,a,i){for(var o=0;o<t.length;o++)pt(t[o],e,r,n,a,i,!1)}function vt(t,e,r,n){t.push(e),t.push(r),t.push(n)}function mt(t,e,r,n,a,i){var o=(i-e)/(n-e);return t.push(i),t.push(r+(a-r)*o),t.push(1),o}function yt(t,e,r,n,a,i){var o=(i-r)/(a-r);return t.push(e+(n-e)*o),t.push(i),t.push(1),o}function xt(t,e){for(var r=[],n=0;n<t.length;n++){var a,i=t[n],o=i.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)a=bt(i.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){a=[];for(var s=0;s<i.geometry.length;s++)a.push(bt(i.geometry[s],e))}else if(\"MultiPolygon\"===o)for(a=[],s=0;s<i.geometry.length;s++){for(var l=[],c=0;c<i.geometry[s].length;c++)l.push(bt(i.geometry[s][c],e));a.push(l)}r.push(nt(i.id,o,a,i.tags))}return r}function bt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function _t(t,e){if(t.transformed)return t;var r,n,a,i=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(wt(c[n],c[n+1],e,i,o,s));else for(n=0;n<c.length;n++){var h=[];for(a=0;a<c[n].length;a+=2)h.push(wt(c[n][a],c[n][a+1],e,i,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function wt(t,e,r,n,a,i){return[Math.round(r*(t*n-a)),Math.round(r*(e*n-i))]}function kt(t,e,r,n,a){for(var i=e===a.maxZoom?0:a.tolerance/((1<<e)*a.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,Tt(o,t[s],i,a);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function Tt(t,e,r,n){var a=e.geometry,i=e.type,o=[];if(\"Point\"===i||\"MultiPoint\"===i)for(var s=0;s<a.length;s+=3)o.push(a[s]),o.push(a[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===i)Mt(o,a,t,r,!1,!1);else if(\"MultiLineString\"===i||\"Polygon\"===i)for(s=0;s<a.length;s++)Mt(o,a[s],t,r,\"Polygon\"===i,0===s);else if(\"MultiPolygon\"===i)for(var l=0;l<a.length;l++){var c=a[l];for(s=0;s<c.length;s++)Mt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if(\"LineString\"===i&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=a.start/a.size,u.mapbox_clip_end=a.end/a.size}var f={geometry:o,type:\"Polygon\"===i||\"MultiPolygon\"===i?3:\"LineString\"===i||\"MultiLineString\"===i?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function Mt(t,e,r,n,a,i){var o=n*n;if(n>0&&e.size<(a?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;a&&function(t,e){for(var r=0,n=0,a=t.length,i=a-2;n<a;i=n,n+=2)r+=(t[n]-t[i])*(t[n+1]+t[i+1]);if(r>0===e)for(n=0,a=t.length;n<a/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[a-2-n],t[n+1]=t[a-1-n],t[a-2-n]=o,t[a-1-n]=s}}(s,i),t.push(s)}}function At(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)it(r,t.features[n],e,n);else\"Feature\"===t.type?it(r,t,e):it(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,a=ht(t,1,-1-r,r,0,-1,2,e),i=ht(t,1,1-r,2+r,0,-1,2,e);return(a||i)&&(n=ht(t,1,-r,1+r,0,-1,2,e)||[],a&&(n=xt(a,1).concat(n)),i&&(n=n.concat(xt(i,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function St(t,e,r){return 32*((1<<t)*r+e)+t}function Et(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var a=new k(n.features),i=E(a);0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),e(null,{vectorTile:a,rawData:i.buffer})}Y.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,a=e.maxZoom,i=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(X(t[l],l));this.trees[a+1]=new H(s,tt,et,i,Float32Array),r&&console.timeEnd(o);for(var c=a;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new H(s,tt,et,i,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},Y.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),a=180===t[2]?180:((t[2]+180)%360+360)%360-180,i=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,a=180;else if(r>a){var o=this.getClusters([r,n,180,i],e),s=this.getClusters([-180,n,a,i],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(K(r),Q(i),K(a),Q(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?Z(p):this.points[p.index])}return c},Y.prototype.getChildren=function(t){var e=t>>5,r=t%32,n=\"No cluster with the specified id.\",a=this.trees[r];if(!a)throw new Error(n);var i=a.points[e];if(!i)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=a.within(i.x,i.y,o);l<c.length;l+=1){var u=c[l],h=a.points[u];h.parentId===t&&s.push(h.numPoints?Z(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},Y.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},Y.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],a=Math.pow(2,t),i=this.options,o=i.extent,s=i.radius/o,l=(r-s)/a,c=(r+1+s)/a,u={features:[]};return this._addTileFeatures(n.range((e-s)/a,l,(e+1+s)/a,c),n.points,e,r,a,u),0===e&&this._addTileFeatures(n.range(1-s/a,l,1,c),n.points,a,r,a,u),e===a-1&&this._addTileFeatures(n.range(0,l,s/a,c),n.points,-1,r,a,u),u.features.length?u:null},Y.prototype.getClusterExpansionZoom=function(t){for(var e=t%32-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},Y.prototype._appendLeaves=function(t,e,r,n,a){for(var i=0,o=this.getChildren(e);i<o.length;i+=1){var s=o[i],l=s.properties;if(l&&l.cluster?a+l.point_count<=n?a+=l.point_count:a=this._appendLeaves(t,l.cluster_id,r,n,a):a<n?a++:t.push(s),t.length===r)break}return a},Y.prototype._addTileFeatures=function(t,e,r,n,a,i){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c={type:1,geometry:[[Math.round(this.options.extent*(l.x*a-r)),Math.round(this.options.extent*(l.y*a-n))]],tags:l.numPoints?J(l):this.points[l.index].properties},u=l.numPoints?l.id:this.points[l.index].id;void 0!==u&&(c.id=u),i.features.push(c)}},Y.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},Y.prototype._cluster=function(t,e){for(var r=[],n=this.options,a=n.radius,i=n.extent,o=n.reduce,s=a/(i*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],h=u.within(c.x,c.y,s),f=c.numPoints||1,p=c.x*f,d=c.y*f,g=o&&f>1?this._map(c,!0):null,v=(l<<5)+(e+1),m=0,y=h;m<y.length;m+=1){var x=y[m],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,f+=_,b.parentId=v,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===f?r.push(c):(c.parentId=v,r.push(W(p/f,d/f,v,f,g)))}}return r},Y.prototype._map=function(t,e){if(t.numPoints)return e?$({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?$({},n):n},At.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},At.prototype.splitTile=function(t,e,r,n,a,i,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=St(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=kt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,f.numFeatures,f.numPoints,f.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(f.source=t,a){if(e===l.maxZoom||e===a)continue;var d=1<<a-e;if(r!==Math.floor(i/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,v,m,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,k=.5+_,T=1+_;g=v=m=y=null,x=ht(t,u,r-_,r+k,0,f.minX,f.maxX,l),b=ht(t,u,r+w,r+T,0,f.minX,f.maxX,l),t=null,x&&(g=ht(x,u,n-_,n+k,1,f.minY,f.maxY,l),v=ht(x,u,n+w,n+T,1,f.minY,f.maxY,l),x=null),b&&(m=ht(b,u,n-_,n+k,1,f.minY,f.maxY,l),y=ht(b,u,n+w,n+T,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(m||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},At.prototype.getTile=function(t,e,r){var n=this.options,a=n.extent,i=n.debug;if(t<0||t>24)return null;var o=1<<t,s=St(t,e=(e%o+o)%o,r);if(this.tiles[s])return _t(this.tiles[s],a);i>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[St(c,u,h)];return l&&l.source?(i>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),i>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),i>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?_t(this.tiles[s],a):null):null};var Lt=function(e){function r(t,r,n){e.call(this,t,r,Et),n&&(this.loadGeoJSON=n)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var a=!!(n&&n.request&&n.request.collectResourceTiming)&&new l.Performance(n.request);this.loadGeoJSON(n,function(i,o){if(i||!o)return r(i);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));!function t(e,r){switch(e&&e.type||null){case\"FeatureCollection\":return e.features=e.features.map(y(t,r)),e;case\"GeometryCollection\":return e.geometries=e.geometries.map(y(t,r)),e;case\"Feature\":return e.geometry=t(e.geometry,r),e;case\"Polygon\":case\"MultiPolygon\":return function(t,e){return\"Polygon\"===t.type?t.coordinates=x(t.coordinates,e):\"MultiPolygon\"===t.type&&(t.coordinates=t.coordinates.map(y(x,e))),t}(e,r);default:return e}}(o,!0);try{e._geoJSONIndex=n.cluster?new Y(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var a={},i={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=f[1],g=t.createExpression(d),v=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",h]]:p);a[h]=g.value,i[h]=v.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var i=n[r];e[i]=a[i].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var a=n[r];o.accumulated=t[a],t[a]=i[a].evaluate(o,s)}},r}(n)).load(o.features):new At(o,n.geojsonVtOptions)}catch(i){return r(i)}e.loaded={};var s={};if(a){var l=a.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)})}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,a=t.uid;return n&&n[a]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))},r.prototype.getClusterChildren=function(t,e){e(null,this._geoJSONIndex.getChildren(t.clusterId))},r.prototype.getClusterLeaves=function(t,e){e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))},r}(h),Ct=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.workerSourceTypes={vector:h,geojson:Lt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isLoaded())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return Ct.prototype.setReferrer=function(t,e){this.referrer=e},Ct.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Ct.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Ct.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Ct.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Ct.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Ct.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Ct.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Ct.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Ct.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},Ct.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Ct.prototype.loadRTLTextPlugin=function(e,r,n){try{t.plugin.isLoaded()||(this.self.importScripts(r),n(t.plugin.isLoaded()?null:new Error(\"RTL Text Plugin failed to import scripts from \"+r)))}catch(t){n(t.toString())}},Ct.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Ct.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var a={send:function(e,r,a){n.actor.send(e,r,a,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](a,this.getLayerIndex(t))}return this.workerSources[t][e][r]},Ct.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new f),this.demWorkerSources[t][e]},Ct.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new Ct(t.window)),Ct}),n(0,function(t){var e=t.createCommonjsModule(function(t){function e(t){return!!(\"undefined\"!=typeof window&&\"undefined\"!=typeof document&&Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray&&Function.prototype&&Function.prototype.bind&&Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions&&\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON&&function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()&&\"Uint8ClampedArray\"in window&&ArrayBuffer.isView&&function(t){return void 0===r[t]&&(r[t]=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t)),r[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var a=t.window.document.createElement(e);return void 0!==r&&(a.className=r),n&&n.appendChild(a),a},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function a(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var i,o=a([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(i=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=i)};var s=a([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",c,c),t.window.removeEventListener(\"test\",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",u,!0),t.window.setTimeout(function(){t.window.removeEventListener(\"click\",u,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect(),a=t.window.TouchEvent&&r instanceof t.window.TouchEvent?r.touches[0]:r;return new t.Point(a.clientX-n.left-e.clientLeft,a.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),a=[],i=\"touchend\"===r.type?r.changedTouches:r.touches,o=0;o<i.length;o++)a.push(new t.Point(i[o].clientX-n.left-e.clientLeft,i[o].clientY-n.top-e.clientTop));return a},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var f=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],a=n.ids,i=n.callback;this._notify(a,i)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this.images[t]=e},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,a=t;n<a.length;n+=1){var i=a[n];this.images[i]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. 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o.resize({width:a||1,height:i||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,h=this.images[s].data,f=h.width,p=h.height;t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u},{width:f,height:p}),t.RGBAImage.copy(h,o,{x:0,y:p-1},{x:c,y:u-1},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c,y:u+p},{width:f,height:1}),t.RGBAImage.copy(h,o,{x:f-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(h,o,{x:0,y:0},{x:c+f,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var a=this.images[n];h(a)&&this.updateImage(n,a)}}},r}(t.Evented),p=v,d=v,g=1e20;function v(t,e,r,n,a,i){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=a||\"sans-serif\",this.fontWeight=i||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function m(t,e,r,n,a,i,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,a,i,o,r),l=0;l<r;l++)t[l*e+s]=a[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,a,i,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(a[s])}}function y(t,e,r,n,a){r[0]=0,n[0]=-g,n[1]=+g;for(var i=1,o=0;i<a;i++){for(var s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);s<=n[o];)o--,s=(t[i]+i*i-(t[r[o]]+r[o]*r[o]))/(2*i-2*r[o]);r[++o]=i,n[o]=s,n[o+1]=+g}for(i=0,o=0;i<a;i++){for(;n[o+1]<i;)o++;e[i]=(i-r[o])*(i-r[o])+t[r[o]]}}v.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var a=e.data[4*n+3]/255;this.gridOuter[n]=1===a?0:0===a?g:Math.pow(Math.max(0,.5-a),2),this.gridInner[n]=1===a?g:0===a?0:Math.pow(Math.max(0,a-.5),2)}for(m(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),m(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var i=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(i/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,a=[];for(var i in e)for(var o=0,s=e[i];o<s.length;o+=1){var l=s[o];a.push({stack:i,id:l})}t.asyncAll(a,function(t,e){var r=t.stack,a=t.id,i=n.entries[r];i||(i=n.entries[r]={glyphs:{},requests:{}});var o=i.glyphs[a];if(void 0===o){if(o=n._tinySDF(i,r,a))return i.glyphs[a]=o,void e(null,{stack:r,id:a,glyph:o});var s=Math.floor(a/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else{var l=i.requests[s];l||(l=i.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e)for(var r in e)n._doesCharSupportLocalGlyph(+r)||(i.glyphs[+r]=e[+r]);for(var a=0,o=l;a<o.length;a+=1)(0,o[a])(t,e);delete i.requests[s]})),l.push(function(t,n){t?e(t):n&&e(null,{stack:r,id:a,glyph:n[a]||null})})}}else e(null,{stack:r,id:a,glyph:o})},function(t,e){if(t)r(t);else if(e){for(var n={},a=0,i=e;a<i.length;a+=1){var o=i[a],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}})},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var a=this.localIdeographFontFamily;if(a&&this._doesCharSupportLocalGlyph(n)){var i=e.tinySDF;if(!i){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),i=e.tinySDF=new x.TinySDF(24,3,8,.25,a,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},i.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,a,i){var o=256*r,s=o+255,l=a.transformRequest(a.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,function(e,r){if(e)i(e);else if(r){for(var n={},a=0,o=t.parseGlyphPBF(r);a<o.length;a+=1){var s=o[a];n[s.id]=s}i(null,n)}})},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var a=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),a):this._transitionable.setValue(n,a)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},k.prototype.addDash=function(e,r){var n=r?7:0,a=2*n+1;if(this.nextRow+a>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var i=0,o=0;o<e.length;o++)i+=e[o];for(var s=this.width/i,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,f=this.width*h,p=c?-e[e.length-1]:0,d=e[0],g=1,v=0;v<this.width;v++){for(;d<v/s;)p=d,d+=e[g],c&&g===e.length-1&&(d+=e[0]),g++;var m=Math.abs(v-p*s),y=Math.abs(v-d*s),x=Math.min(m,y),b=g%2==1,_=void 0;if(r){var w=n?u/n*(l+1):0;if(b){var k=l-Math.abs(w);_=Math.sqrt(x*x+k*k)}else _=l-Math.sqrt(x*x+w*w)}else _=(b?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,_+128))}var T={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:i};return this.nextRow+=a,this.dirty=!0,T},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.RGBA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.RGBA,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data))};var T=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var a=this.workerPool.acquire(this.id),i=0;i<a.length;i++){var o=a[i],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+i,this.actors.push(s)}};function M(e,r,n){var a=function(a,i){if(a)return n(a);if(i){var o=t.pick(t.extend(i,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);i.vector_layers&&(o.vectorLayers=i.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),e.url&&(o.tiles=r.canonicalizeTileset(o,e.url)),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),a):t.browser.frame(function(){return a(null,e)})}T.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},T.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},T.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},T.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),a=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),i=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<i&&e.y>=a&&e.y<o};var S=function(e){function r(r,n,a,i){if(e.call(this),this.id=r,this.dispatcher=a,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,null),a={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};function i(n,a){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(a&&a.resourceTiming&&(e.resourceTiming=a.resourceTiming),this.map._refreshExpiredTiles&&a&&e.setExpiryData(a),e.loadVectorData(a,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}a.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",a,i.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",a,i.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.dispatcher=a,this.setEventedParent(i),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))})},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,a=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(a,t.ResourceType.Tile),function(a,i){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(a)e.state=\"errored\",r(a);else if(i){n.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(i.width),e.texture?e.texture.update(i,{useMipmap:!0}):(e.texture=new t.Texture(o,i,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}})},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var i=t.browser.getImageData(a),o={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:i,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",o,function(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),a=(r.x-1+n)%n,i=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,i,r.z,a,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,a,i){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=a.getActor(),this.setEventedParent(i),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution);var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData(function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}}),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),a=this._data;\"string\"==typeof a?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(a),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(a),this.actor.send(this.type+\".loadData\",n,function(t,a){r._removed||a&&a.abandoned||(r._loaded=!0,a&&a.resourceTiming&&a.resourceTiming[r.id]&&(r._resourceTiming=a.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))})},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,a=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var i={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes};e.request=this.actor.send(a,i,function(t,i){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(i,n.map.painter,\"reloadTile\"===a),r(null))})},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=function(e){function r(t,r,n,a){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(a),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),function(a,i){n._loaded=!0,a?n.fire(new t.ErrorEvent(a)):i&&(n.image=i,e&&(n.coordinates=e),r&&r(),n._finishLoading())})},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,function(){e.texture=null}),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,a=-1/0,i=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),a=Math.max(a,l.x),i=Math.max(i,l.y)}var c=a-r,u=i-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+a)/2*p),Math.floor((n+i)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var a=n.map(function(t){return r.tileID.getTilePoint(t)._round()});return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(a[0].x,a[0].y,0,0),this._boundsArray.emplaceBack(a[1].x,a[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(a[3].x,a[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(a[2].x,a[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=function(e){function r(t,r,n,a){e.call(this,t,r,n,a),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,a=r.urls;n<a.length;n+=1){var i=a[n];this.urls.push(this.map._requestManager.transformRequest(i,t.ResourceType.Source).url)}t.getVideo(this.urls,function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",function(){e.map.triggerRepaint()}),e.map&&e.video.play(),e._finishLoading())})},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,t.rasterBoundsAttributes.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var a=this.tiles[n];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(P),z=function(e){function r(r,n,a,i){e.call(this,r,n,a,i),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some(function(t){return!Array.isArray(t)||2!==t.length||t.some(function(t){return\"number\"!=typeof t})})||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),wt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t,e,r){this.context=t,this.width=e,this.height=r;var n=t.gl,a=this.framebuffer=n.createFramebuffer();this.colorAttachment=new wt(t,a),this.depthAttachment=new kt(t,a)};Tt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();e&&t.deleteTexture(e);var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r),t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var At=function(t,e,r,n,a,i){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=a,this.pass=i};At.disabled=new At({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new at(this),this.blendEquation=new it(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ht(this),this.bindFramebuffer=new ft(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new vt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&t.getExtension(\"OES_texture_half_float_linear\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new U(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,a=n.createRenderbuffer();return this.bindRenderbuffer.set(a),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),a},Lt.prototype.createFramebuffer=function(t,e){return new Tt(this,t,e)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,a=0;e&&(a|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(a|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(a)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,a){var i=this;e.call(this),this.id=r,this.dispatcher=a,this.on(\"data\",function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(i._sourceLoaded=!0),i._sourceLoaded&&!i._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(i.reload(),i.transform&&i.update(i.transform))}),this.on(\"error\",function(){i._sourceErrored=!0}),this._source=D(r,n,a,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,function(){})},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,function(){})},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return Object.keys(this._tiles).map(Number).sort(Pt)},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var a in this._tiles)this._isIdRenderable(+a,e)&&n.push(+a);return e?n.sort(function(e,n){var a=r._tiles[e].tileID,i=r._tiles[n].tileID,o=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle),s=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle);return a.overscaledZ-i.overscaledZ||s.y-o.y||s.x-o.x}):n.sort(Pt)},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,a){if(a)return e.state=\"errored\",void(404!==a.status?this._source.fire(new t.ErrorEvent(a,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var a=this.getTileByID(n);i(t,a),i(a,t)}}function i(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,a=Math.pow(2,t.tileID.canonical.z),i=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+a)?r+=a:1===Math.abs(r-a)&&(r-=a)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[i]&&(t.neighboringTiles[i].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var a in this._tiles){var i=this._tiles[a];if(!(n[a]||!i.hasData()||i.tileID.overscaledZ<=e||i.tileID.overscaledZ>r)){for(var o=i.tileID;i&&i.tileID.overscaledZ>e+1;){var s=i.tileID.scaledTo(i.tileID.overscaledZ-1);(i=this._tiles[s.key])&&i.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){for(var r=t.overscaledZ-1;r>=e;r--){var n=t.scaledTo(r);if(!n)return;var a=String(n.key),i=this._tiles[a];if(i&&i.hasData())return i;if(this._cache.has(n))return this._cache.get(n)}},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var a in this._tiles){var i=this._tiles[a];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+r),n[i.tileID.key]=i}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var a;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?a=e.getVisibleUnwrappedCoordinates(this._source.tileID).map(function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)}):(a=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(a=a.filter(function(t){return n._source.hasTile(t)}))):a=[];var i=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),o=Math.max(i-r.maxOverzooming,this._source.minzoom),s=Math.max(i+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(a,i);if(Ot(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var v=this.findLoadedParent(d,o);v&&(this._addTile(v.tileID),c[v.tileID.key]=v.tileID),u[p]=d}}for(var m in this._retainLoadedChildren(u,i,s,l),c)l[m]||(this._coveredTiles[m]=!0,l[m]=c[m])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},a={},i=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],h=this._addTile(u);n[u.key]=u,h.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var f=0,p=t;f<p.length;f+=1){var d=p[f],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var v=d.children(this._source.maxzoom)[0],m=this.getTile(v);if(m&&m.hasData()){n[v.key]=v;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=i;--b){var _=d.scaledTo(b);if(a[_.key])break;if(a[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout(function(){r._reloadTile(t,\"expired\"),delete r._timers[t]},n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var a=this,i=[],o=this.transform;if(!o)return i;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map(function(t){return o.pointCoordinate(t)}),c=s.map(function(t){return o.pointCoordinate(t)}),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,g=0,v=c;g<v.length;g+=1){var m=v[g];h=Math.min(h,m.x),f=Math.min(f,m.y),p=Math.max(p,m.x),d=Math.max(d,m.y)}for(var y=function(e){var n=a._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),v=r*n.queryPadding*t.EXTENT/n.tileSize/g,m=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(m[0].x-v<t.EXTENT&&m[0].y-v<t.EXTENT&&m[1].x+v>=0&&m[1].y+v>=0){var y=l.map(function(t){return s.getTilePoint(t)}),x=c.map(function(t){return s.getTilePoint(t)});i.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return i},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map(function(t){return e._tiles[t].tileID}),n=0,a=r;n<a.length;n+=1){var i=a[n];i.posMatrix=this.transform.calculatePosMatrix(i.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r}(t.Evented);function Pt(t,e){return t%32-e%32||e-t}function Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker($n.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var It=function(){this.active={}};It.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<It.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},It.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)};var Dt,Rt=Math.floor(t.browser.hardwareConcurrency/2);function Ft(e,r){var n={};for(var a in e)\"ref\"!==a&&(n[a]=e[a]);return t.refProperties.forEach(function(t){t in r&&(n[t]=r[t])}),n}function Bt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ft(t[n],e[t[n].ref]));return t}It.workerCount=Math.max(Math.min(Rt,6),1);var Nt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function jt(t,e,r){r.push({command:Nt.addSource,args:[t,e[t]]})}function Vt(t,e,r){e.push({command:Nt.removeSource,args:[t]}),r[t]=!0}function Ut(t,e,r,n){Vt(t,r,n),jt(t,e,r)}function qt(e,r,n){var a;for(a in e[n])if(e[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;for(a in r[n])if(r[n].hasOwnProperty(a)&&\"data\"!==a&&!t.deepEqual(e[n][a],r[n][a]))return!1;return!0}function Ht(e,r,n,a,i,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[a,s,r[s],i]}))}function Gt(t){return t.id}function Yt(t,e){return t[e.id]=e,t}var Wt=function(t,e,r){var n=this.boxCells=[],a=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var i=0;i<this.xCellCount*this.yCellCount;i++)n.push([]),a.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Xt(e,r,n,a,i){var o=t.create();return r?(t.scale(o,o,[1/i,1/i,1]),n||t.rotateZ(o,o,a.angle)):t.multiply(o,a.labelPlaneMatrix,e),o}function Zt(e,r,n,a,i){if(r){var o=t.clone(e);return t.scale(o,o,[i,i,1]),n||t.rotateZ(o,o,-a.angle),o}return a.glCoordMatrix}function Jt(e,r){var n=[e.x,e.y,0,1];oe(n,n,r);var a=n[3];return{point:new t.Point(n[0]/a,n[1]/a),signedDistanceFromCamera:a}}function Kt(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function Qt(e,r,n,a,i,o,s,l){var c=a?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=a?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=a?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,v=!1,m=0;m<d.length;m++){var y=d.get(m);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!v)ie(y.numGlyphs,f);else{v=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),Kt(x,h)){var b=.5+x[3]/n.transform.cameraToCenterDistance*.5,_=t.evaluateSizeForFeature(c,u,y),w=s?_*b:_/b,k=new t.Point(y.anchorX,y.anchorY),T=Jt(k,i).point,M={},A=ee(y,w,!1,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g);v=A.useVertical,(A.notEnoughRoom||v||A.needsFlipping&&ee(y,w,!0,l,r,i,o,e.glyphOffsetArray,p,f,T,k,M,g).notEnoughRoom)&&ie(y.numGlyphs,f)}else ie(y.numGlyphs,f)}}a?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function $t(t,e,r,n,a,i,o,s,l,c,u,h){var f=s.glyphStartIndex+s.numGlyphs,p=s.lineStartIndex,d=s.lineStartIndex+s.lineLength,g=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),m=ne(t*g,r,n,a,i,o,s.segment,p,d,l,c,u,h);if(!m)return null;var y=ne(t*v,r,n,a,i,o,s.segment,p,d,l,c,u,h);return y?{first:m,last:y}:null}function te(e,r,n,a){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*a?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function ee(e,r,n,a,i,o,s,l,c,u,h,f,p,d){var g,v=r/24,m=e.lineOffsetX*v,y=e.lineOffsetY*v;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=$t(v,l,m,y,n,h,f,e,c,o,p,!1);if(!w)return{notEnoughRoom:!0};var k=Jt(w.first.point,s).point,T=Jt(w.last.point,s).point;if(a&&!n){var M=te(e.writingMode,k,T,d);if(M)return M}g=[w.first];for(var A=e.glyphStartIndex+1;A<x-1;A++)g.push(ne(v*l.getoffsetX(A),m,y,n,h,f,e.segment,b,_,c,o,p,!1));g.push(w.last)}else{if(a&&!n){var S=Jt(f,i).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=Jt(L,i),P=C.signedDistanceFromCamera>0?C.point:re(f,L,S,1,i),O=te(e.writingMode,S,P,d);if(O)return O}var z=ne(v*l.getoffsetX(e.glyphStartIndex),m,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p,!1);if(!z)return{notEnoughRoom:!0};g=[z]}for(var I=0,D=g;I<D.length;I+=1){var R=D[I];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function re(t,e,r,n,a){var i=Jt(t.add(t.sub(e)._unit()),a).point,o=r.sub(i);return r.add(o._mult(n/o.mag()))}function ne(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=a?e-r:e+r,g=d>0?1:-1,v=0;a&&(g*=-1,v=Math.PI),g<0&&(v+=Math.PI);for(var m=g>0?l+s:l+s+1,y=m,x=i,b=i,_=0,w=0,k=Math.abs(d);_+w<=k;){if((m+=g)<l||m>=c)return null;if(b=x,void 0===(x=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),M=Jt(T,h);if(M.signedDistanceFromCamera>0)x=f[m]=M.point;else{var A=m-g;x=re(0===_?o:new t.Point(u.getx(A),u.gety(A)),T,b,k-_+1,h)}}_+=w,w=b.dist(x)}var S=(k-_)/w,E=x.sub(b),L=E.mult(S)._add(b);return L._add(E._unit()._perp()._mult(n*g)),{point:L,angle:v+Math.atan2(x.y-b.y,x.x-b.x),tileDistance:p?{prevTileDistance:m-g===y?0:u.gettileUnitDistanceFromAnchor(m-g),lastSegmentViewportDistance:k-_}:null}}Wt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Wt.prototype.insert=function(t,e,r,n,a){this._forEachCell(e,r,n,a,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(a)},Wt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Wt.prototype._insertBoxCell=function(t,e,r,n,a,i){this.boxCells[a].push(i)},Wt.prototype._insertCircleCell=function(t,e,r,n,a,i){this.circleCells[a].push(i)},Wt.prototype._query=function(t,e,r,n,a,i){if(r<0||t>this.width||n<0||e>this.height)return!a&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(a)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],h=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-h,y1:u-h,x2:c+h,y2:u+h})}return i?o.filter(i):o}var f={hitTest:a,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,i),a?o.length>0:o},Wt.prototype._queryCircle=function(t,e,r,n,a){var i=t-r,o=t+r,s=e-r,l=e+r;if(o<0||i>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(i,s,o,l,this._queryCellCircle,c,u,a),n?c.length>0:c},Wt.prototype.query=function(t,e,r,n,a){return this._query(t,e,r,n,!1,a)},Wt.prototype.hitTest=function(t,e,r,n,a){return this._query(t,e,r,n,!0,a)},Wt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Wt.prototype._queryCell=function(t,e,r,n,a,i,o,s){var l=o.seenUids,c=this.boxCells[a];if(null!==c)for(var u=this.bboxes,h=0,f=c;h<f.length;h+=1){var p=f[h];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return i.push(!0),!0;i.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[a];if(null!==g)for(var v=this.circles,m=0,y=g;m<y.length;m+=1){var x=y[m];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(v[b],v[b+1],v[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return i.push(!0),!0;var _=v[b],w=v[b+1],k=v[b+2];i.push({key:this.circleKeys[x],x1:_-k,y1:w-k,x2:_+k,y2:w+k})}}}},Wt.prototype._queryCellCircle=function(t,e,r,n,a,i,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[a];if(null!==u)for(var h=this.bboxes,f=0,p=u;f<p.length;f+=1){var d=p[f];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return i.push(!0),!0}}var v=this.circleCells[a];if(null!==v)for(var m=this.circles,y=0,x=v;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(m[_],m[_+1],m[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return i.push(!0),!0}}},Wt.prototype._forEachCell=function(t,e,r,n,a,i,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(a.call(this,t,e,r,n,d,i,o,s))return}},Wt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Wt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Wt.prototype._circlesCollide=function(t,e,r,n,a,i){var o=n-t,s=a-e,l=r+i;return l*l>o*o+s*s},Wt.prototype._circleAndRectCollide=function(t,e,r,n,a,i,o){var s=(i-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-a)/2,u=Math.abs(e-(a+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var ae=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ie(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ae,3*n)}}function oe(t,e,r){var n=e[0],a=e[1];return t[0]=r[0]*n+r[4]*a+r[12],t[1]=r[1]*n+r[5]*a+r[13],t[3]=r[3]*n+r[7]*a+r[15],t}var se=function(t,e,r){void 0===e&&(e=new Wt(t.width+200,t.height+200,25)),void 0===r&&(r=new Wt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function le(t,e,r){t[e+4]=r?1:0}function ce(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}se.prototype.placeCollisionBox=function(t,e,r,n,a){var i=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*i.perspectiveRatio,s=t.x1*o+i.point.x,l=t.y1*o+i.point.y,c=t.x2*o+i.point.x,u=t.y2*o+i.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,a)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},se.prototype.approximateTileDistance=function(t,e,r,n,a){var i=a?1:n/this.pitchfactor,o=t.lastSegmentViewportDistance*r;return t.prevTileDistance+o+(i-1)*o*Math.abs(Math.sin(e))},se.prototype.placeCollisionCircles=function(e,r,n,a,i,o,s,l,c,u,h,f,p){var d=[],g=this.projectAnchor(c,i.anchorX,i.anchorY),v=l/24,m=i.lineOffsetX*l,y=i.lineOffsetY*l,x=new t.Point(i.anchorX,i.anchorY),b=$t(v,s,m,y,!1,Jt(x,u).point,x,i,o,u,{},!0),_=!1,w=!1,k=!0,T=g.perspectiveRatio*a,M=1/(a*n),A=0,S=0;b&&(A=this.approximateTileDistance(b.first.tileDistance,b.first.angle,M,g.cameraDistance,f),S=this.approximateTileDistance(b.last.tileDistance,b.last.angle,M,g.cameraDistance,f));for(var E=0;E<e.length;E+=5){var L=e[E],C=e[E+1],P=e[E+2],O=e[E+3];if(!b||O<-A||O>S)le(e,E,!1);else{var z=this.projectPoint(c,L,C),I=P*T;if(d.length>0){var D=z.x-d[d.length-4],R=z.y-d[d.length-3];if(I*I*2>D*D+R*R&&E+8<e.length){var F=e[E+8];if(F>-A&&F<S){le(e,E,!1);continue}}}var B=E/5;d.push(z.x,z.y,I,B),le(e,E,!0);var N=z.x-I,j=z.y-I,V=z.x+I,U=z.y+I;if(k=k&&this.isOffscreen(N,j,V,U),w=w||this.isInsideGrid(N,j,V,U),!r&&this.grid.hitTestCircle(z.x,z.y,I,p)){if(!h)return{circles:[],offscreen:!1};_=!0}}}return{circles:_||!w?[]:d,offscreen:k}},se.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,a=1/0,i=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),a=Math.min(a,u.y),i=Math.max(i,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,a,i,o).concat(this.ignoredGrid.query(n,a,i,o));p<d.length;p+=1){var g=d[p],v=g.key;if(void 0===h[v.bucketInstanceId]&&(h[v.bucketInstanceId]={}),!h[v.bucketInstanceId][v.featureIndex]){var m=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,m)&&(h[v.bucketInstanceId][v.featureIndex]=!0,void 0===f[v.bucketInstanceId]&&(f[v.bucketInstanceId]=[]),f[v.bucketInstanceId].push(v.featureIndex))}}return f},se.prototype.insertCollisionBox=function(t,e,r,n,a){var i={bucketInstanceId:r,featureIndex:n,collisionGroupID:a};(e?this.ignoredGrid:this.grid).insert(i,t[0],t[1],t[2],t[3])},se.prototype.insertCollisionCircles=function(t,e,r,n,a){for(var i=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:a},s=0;s<t.length;s+=4)i.insertCircle(o,t[s],t[s+1],t[s+2])},se.prototype.projectAnchor=function(t,e,r){var n=[e,r,0,1];return oe(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},se.prototype.projectPoint=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100)},se.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var a=[r,n,0,1];return oe(a,a,e),{point:new t.Point((a[0]/a[3]+1)/2*this.transform.width+100,(-a[1]/a[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/a[3]*.5}},se.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},se.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary};var ue=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ue.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var he=function(t,e,r,n,a){this.text=new ue(t?t.text:null,e,r,a),this.icon=new ue(t?t.icon:null,e,n,a)};he.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var fe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},pe=function(t,e,r,n,a){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=a},de=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function ge(e,r,n,a,i){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateRadialOffset(e,a);return new t.Point(s+c[0]*i,l+c[1]*i)}de.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var ve=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new se(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new de(r),this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function me(t,e,r,n,a){t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0),t.emplaceBack(e?1:0,r?1:0,n||0,a||0)}ve.prototype.placeLayerTile=function(e,r,n,a){var i=r.getBucket(e),o=r.latestFeatureIndex;if(i&&o&&e.id===i.layerIds[0]){var s=r.collisionBoxArray,l=i.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),f=Xt(h,\"map\"===l.get(\"text-pitch-alignment\"),\"map\"===l.get(\"text-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom)),p=Xt(h,\"map\"===l.get(\"icon-pitch-alignment\"),\"map\"===l.get(\"icon-rotation-alignment\"),this.transform,ce(r,1,this.transform.zoom));this.retainedQueryData[i.bucketInstanceId]=new pe(i.bucketInstanceId,o,i.sourceLayerIndex,i.index,r.tileID),this.placeLayerBucket(i,h,f,p,c,u,n,r.holdingForFade(),a,s)}},ve.prototype.attemptAnchorPlacement=function(e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=ge(e,n,a,i,o),y=this.collisionIndex.placeCollisionBox(function(e,r,n,a,i,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,h=e.anchorPointX,f=e.anchorPointY,p=new t.Point(r,n);return a&&p._rotate(i?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}(r,m.x,m.y,s,l,this.transform.angle),f,c,u,h.predicate);if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(v=this.prevPlacement.variableOffsets[p.crossTileID].anchor),this.variableOffsets[p.crossTileID]={radialOffset:i,width:n,height:a,anchor:e,textBoxScale:o,prevAnchor:v},this.markUsedJustification(d,e,p,g),d.allowVerticalPlacement&&(this.markUsedOrientation(d,g,p),this.placedOrientations[p.crossTileID]=g),y},ve.prototype.placeLayerBucket=function(e,r,n,a,i,o,s,l,c,u){var h=this,f=e.layers[0].layout,p=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom),d=f.get(\"text-optional\"),g=f.get(\"icon-optional\"),v=f.get(\"text-allow-overlap\"),m=f.get(\"icon-allow-overlap\"),y=v&&(m||!e.hasIconData()||g),x=m&&(v||!e.hasTextData()||d),b=this.collisionGroups.get(e.sourceID),_=\"map\"===f.get(\"text-rotation-alignment\"),w=\"map\"===f.get(\"text-pitch-alignment\"),k=\"viewport-y\"===f.get(\"symbol-z-order\");!e.collisionArrays&&u&&e.deserializeCollisionBoxes(u);var T=function(a,u){if(!c[a.crossTileID])if(l)h.placements[a.crossTileID]=new fe(!1,!1,!1);else{var m,k=!1,T=!1,M=!0,A={box:null,offscreen:null},S={box:null,offscreen:null},E=null,L=null,C=0,P=0,O=0;u.textFeatureIndex&&(C=u.textFeatureIndex),u.verticalTextFeatureIndex&&(P=u.verticalTextFeatureIndex);var z=u.textBox;if(z){var I=function(r){var n=t.WritingMode.horizontal;if(e.allowVerticalPlacement&&!r&&h.prevPlacement){var i=h.prevPlacement.placedOrientations[a.crossTileID];i&&(h.placedOrientations[a.crossTileID]=i,n=i,h.markUsedOrientation(e,n,a))}return n},D=function(r,n){if(e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&u.verticalTextBox)for(var i=0,o=e.writingModes;i<o.length&&(o[i]===t.WritingMode.vertical?(A=n(),S=A):A=r(),!(A&&A.box&&A.box.length));i+=1);else A=r()};if(f.get(\"text-variable-anchor\")){var R=f.get(\"text-variable-anchor\");if(h.prevPlacement&&h.prevPlacement.variableOffsets[a.crossTileID]){var F=h.prevPlacement.variableOffsets[a.crossTileID];R.indexOf(F.anchor)>0&&(R=R.filter(function(t){return t!==F.anchor})).unshift(F.anchor)}var B=function(t,n){for(var i=t.x2-t.x1,s=t.y2-t.y1,l=a.textBoxScale,c={box:[],offscreen:!1},u=v?2*R.length:R.length,f=0;f<u;++f){var p=R[f%R.length],d=f>=R.length;if((c=h.attemptAnchorPlacement(p,t,i,s,a.radialTextOffset,l,_,w,o,r,b,d,a,e,n))&&c.box&&c.box.length){k=!0;break}}return c};D(function(){return B(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox,n=A&&A.box&&A.box.length;return e.allowVerticalPlacement&&!n&&a.numVerticalGlyphVertices>0&&r?B(r,t.WritingMode.vertical):{box:null,offscreen:null}}),A&&(k=A.box,M=A.offscreen);var N=I(A&&A.box);if(!k&&h.prevPlacement){var j=h.prevPlacement.variableOffsets[a.crossTileID];j&&(h.variableOffsets[a.crossTileID]=j,h.markUsedJustification(e,j.anchor,a,N))}}else{var V=function(t,n){var i=h.collisionIndex.placeCollisionBox(t,f.get(\"text-allow-overlap\"),o,r,b.predicate);return i&&i.box&&i.box.length&&(h.markUsedOrientation(e,n,a),h.placedOrientations[a.crossTileID]=n),i};D(function(){return V(z,t.WritingMode.horizontal)},function(){var r=u.verticalTextBox;return e.allowVerticalPlacement&&a.numVerticalGlyphVertices>0&&r?V(r,t.WritingMode.vertical):{box:null,offscreen:null}}),I(A&&A.box&&A.box.length)}}k=(m=A)&&m.box&&m.box.length>0,M=m&&m.offscreen;var U=u.textCircles;if(U){var q=e.text.placedSymbolArray.get(a.centerJustifiedTextSymbolIndex),H=t.evaluateSizeForFeature(e.textSizeData,p,q);E=h.collisionIndex.placeCollisionCircles(U,f.get(\"text-allow-overlap\"),i,o,q,e.lineVertexArray,e.glyphOffsetArray,H,r,n,s,w,b.predicate),k=f.get(\"text-allow-overlap\")||E.circles.length>0,M=M&&E.offscreen}u.iconFeatureIndex&&(O=u.iconFeatureIndex),u.iconBox&&(T=(L=h.collisionIndex.placeCollisionBox(u.iconBox,f.get(\"icon-allow-overlap\"),o,r,b.predicate)).box.length>0,M=M&&L.offscreen);var G=d||0===a.numHorizontalGlyphVertices&&0===a.numVerticalGlyphVertices,Y=g||0===a.numIconVertices;G||Y?Y?G||(T=T&&k):k=T&&k:T=k=T&&k,k&&m&&m.box&&(S&&S.box&&P?h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,P,b.ID):h.collisionIndex.insertCollisionBox(m.box,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID)),T&&L&&h.collisionIndex.insertCollisionBox(L.box,f.get(\"icon-ignore-placement\"),e.bucketInstanceId,O,b.ID),k&&E&&h.collisionIndex.insertCollisionCircles(E.circles,f.get(\"text-ignore-placement\"),e.bucketInstanceId,C,b.ID),h.placements[a.crossTileID]=new fe(k||y,T||x,M||e.justReloaded),c[a.crossTileID]=!0}};if(k)for(var M=e.getSortedSymbolIndexes(this.transform.angle),A=M.length-1;A>=0;--A){var S=M[A];T(e.symbolInstances.get(S),e.collisionArrays[S])}else for(var E=0;E<e.symbolInstances.length;++E)T(e.symbolInstances.get(E),e.collisionArrays[E]);e.justReloaded=!1},ve.prototype.markUsedJustification=function(e,r,n,a){var i,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};i=a===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=i>=0&&c!==i?0:n.crossTileID)}},ve.prototype.markUsedOrientation=function(e,r,n){for(var a=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,i=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=a}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=i)},ve.prototype.commit=function(t){this.commitTime=t;var e=this.prevPlacement,r=!1,n=e&&0!==this.fadeDuration?(this.commitTime-e.commitTime)/this.fadeDuration:1,a=e?e.opacities:{},i=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=a[s];c?(this.opacities[s]=new he(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new he(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in a){var h=a[u];if(!this.opacities[u]){var f=new he(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in i)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=i[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},ve.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,a=e;n<a.length;n+=1){var i=a[n],o=i.getBucket(t);o&&i.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,i.collisionBoxArray)}},ve.prototype.updateBucketOpacities=function(e,r,n){e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexArray.clear(),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexArray.clear();var a=e.layers[0].layout,i=new he(null,0,!1,!1,!0),o=a.get(\"text-allow-overlap\"),s=a.get(\"icon-allow-overlap\"),l=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),u=\"map\"===a.get(\"text-pitch-alignment\"),h=new he(null,0,o&&(s||!e.hasIconData()||a.get(\"icon-optional\")),s&&(o||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasCollisionBoxData()||e.hasCollisionCircleData())&&e.deserializeCollisionBoxes(n);for(var f=0;f<e.symbolInstances.length;f++){var p=e.symbolInstances.get(f),d=p.numHorizontalGlyphVertices,g=p.numVerticalGlyphVertices,v=p.crossTileID,m=r[v],y=this.opacities[v];m?y=i:y||(y=h,this.opacities[v]=y),r[v]=!0;var x=d>0||g>0,b=p.numIconVertices>0;if(x){for(var _=Me(y.text),w=(d+g)/4,k=0;k<w;k++)e.text.opacityVertexArray.emplaceBack(_);var T=y.text.isHidden()?1:0,M=this.placedOrientations[p.crossTileID],A=M===t.WritingMode.horizontal||M===t.WritingMode.horizontalOnly?1:0,S=M===t.WritingMode.vertical?1:0;[p.rightJustifiedTextSymbolIndex,p.centerJustifiedTextSymbolIndex,p.leftJustifiedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=T||S)}),p.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(p.verticalPlacedTextSymbolIndex).hidden=T||A);var E=this.variableOffsets[p.crossTileID];E&&this.markUsedJustification(e,E.anchor,p,M);var L=this.placedOrientations[p.crossTileID];L&&(this.markUsedJustification(e,\"left\",p,L),this.markUsedOrientation(e,L,p))}if(b){for(var C=Me(y.icon),P=0;P<p.numIconVertices/4;P++)e.icon.opacityVertexArray.emplaceBack(C);e.icon.placedSymbolArray.get(f).hidden=y.icon.isHidden()}if(e.hasCollisionBoxData()||e.hasCollisionCircleData()){var O=e.collisionArrays[f];if(O){if(O.textBox){var z=new t.Point(0,0),I=!0;if(l){var D=this.variableOffsets[v];D?(z=ge(D.anchor,D.width,D.height,D.radialOffset,D.textBoxScale),c&&z._rotate(u?this.transform.angle:-this.transform.angle)):I=!1}me(e.collisionBox.collisionVertexArray,y.text.placed,!I,z.x,z.y)}O.iconBox&&me(e.collisionBox.collisionVertexArray,y.icon.placed,!1);var R=O.textCircles;if(R&&e.hasCollisionCircleData())for(var F=0;F<R.length;F+=5){var B=m||0===R[F+4];me(e.collisionCircle.collisionVertexArray,y.text.placed,B)}}}}e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexBuffer&&e.collisionBox.collisionVertexBuffer.updateData(e.collisionBox.collisionVertexArray),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexBuffer&&e.collisionCircle.collisionVertexBuffer.updateData(e.collisionCircle.collisionVertexArray)},ve.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},ve.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ve.prototype.stillRecent=function(t){return this.commitTime+this.fadeDuration>t},ve.prototype.setStale=function(){this.stale=!0};var ye=Math.pow(2,25),xe=Math.pow(2,24),be=Math.pow(2,17),_e=Math.pow(2,16),we=Math.pow(2,9),ke=Math.pow(2,8),Te=Math.pow(2,1);function Me(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ye+e*xe+r*be+e*_e+r*we+e*ke+r*Te+e}var Ae=function(){this._currentTileIndex=0,this._seenCrossTileIDs={}};Ae.prototype.continuePlacement=function(t,e,r,n,a){for(;this._currentTileIndex<t.length;){var i=t[this._currentTileIndex];if(e.placeLayerTile(n,i,r,this._seenCrossTileIDs),this._currentTileIndex++,a())return!0}};var Se=function(t,e,r,n,a,i,o){this.placement=new ve(t,a,i,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Se.prototype.isDone=function(){return this._done},Se.prototype.continuePlacement=function(e,r,n){for(var a=this,i=t.browser.now(),o=function(){var e=t.browser.now()-i;return!a._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Ae),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Se.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Ee=512/t.EXTENT/2,Le=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var a=e.get(n),i=a.key;this.indexedSymbolInstances[i]||(this.indexedSymbolInstances[i]=[]),this.indexedSymbolInstances[i].push({crossTileID:a.crossTileID,coord:this.getScaledCoordinates(a,t)})}};Le.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,a=Ee/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*a),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*a)}},Le.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),a=0;a<t.length;a++){var i=t.get(a);if(!i.crossTileID){var o=this.indexedSymbolInstances[i.key];if(o)for(var s=this.getScaledCoordinates(i,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,i.crossTileID=u.crossTileID;break}}}}};var Ce=function(){this.maxCrossTileID=0};Ce.prototype.generate=function(){return++this.maxCrossTileID};var Pe=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Pe.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],a={};for(var i in n){var o=n[i];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),a[o.tileID.key]=o}this.indexes[r]=a}this.lng=t},Pe.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var a=this.usedCrossTileIDs[t.overscaledZ];for(var i in this.indexes){var o=this.indexes[i];if(Number(i)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,a)}else{var c=o[t.scaledTo(Number(i)).key];c&&c.findMatches(e.symbolInstances,t,a)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),a[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Le(t,e.symbolInstances,e.bucketInstanceId),!0},Pe.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,a=e.indexedSymbolInstances[r];n<a.length;n+=1){var i=a[n];delete this.usedCrossTileIDs[t][i.crossTileID]}},Pe.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var a in n)t[n[a].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[a]),delete n[a],e=!0)}return e};var Oe=function(){this.layerIndexes={},this.crossTileIDs=new Ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Oe.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Pe);var a=!1,i={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(a=!0),i[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(i)&&(a=!0),a},Oe.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach(function(t){e[t]=!0}),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var ze=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return\"source.canvas\"!==t.identifier}))},Ie=t.pick(Nt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),De=t.pick(Nt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Re=function(e){function r(n,a){var i=this;void 0===a&&(a={}),e.call(this),this.map=n,this.dispatcher=new T((Dt||(Dt=new It),Dt),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,a.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Oe,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginAvailability(function(t){for(var e in o.dispatcher.broadcast(\"loadRTLTextPlugin\",t.pluginURL,t.completionCallback),o.sourceCaches)o.sourceCaches[e].reload()}),this.on(\"data\",function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=i.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in i._layers){var a=i._layers[n];a.source===r.id&&i._validateLayer(a)}}}})}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var a=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var i=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(i,function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,a)})},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame(function(){n._request=null,n._load(e,!1!==r.validate)})},r.prototype._load=function(e,r){var n=this;if(!r||!ze(this,t.validateStyle(e))){for(var a in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(a,e.sources[a],{validate:!1});e.sprite?this._spriteRequest=function(e,r,n){var a,i,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),function(t,e){l=null,o||(o=t,a=e,u())}),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),function(t,e){c=null,o||(o=t,i=e,u())});function u(){if(o)n(o);else if(a&&i){var e=t.browser.getImageData(i),r={};for(var s in a){var l=a[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,g=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,g,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:g,pixelRatio:d,sdf:p}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e.sprite,this.map._requestManager,function(e,r){if(n._spriteRequest=null,e)n.fire(new t.ErrorEvent(e));else if(r)for(var a in r)n.imageManager.addImage(a,r[a]);n.imageManager.setLoaded(!0),n.fire(new t.Event(\"data\",{dataType:\"style\"}))}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Bt(this.stylesheet.layers);this._order=i.map(function(t){return t.id}),this._layers={};for(var o=0,s=i;o<s.length;o+=1){var l=s[o];(l=t.createStyleLayer(l)).setEventedParent(this,{layer:{id:l.id}}),this._layers[l.id]=l}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var a=r.getSource();(\"geojson\"===a.type||a.vectorLayerIds&&-1===a.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+a.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var a=n[r],i=this._layers[a];\"custom\"!==i.type&&e.push(i.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),a=Object.keys(this._removedLayers);for(var i in(n.length||a.length)&&this._updateWorkerLayers(n,a),this._updatedSources){var o=this._updatedSources[i];\"reload\"===o?this._reloadSource(i):\"clear\"===o&&this._clearSource(i)}for(var s in this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];f.recalculate(e),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),ze(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Bt(e.layers);var n=function(e,r){if(!e)return[{command:Nt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Nt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Nt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Nt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Nt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Nt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Nt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Nt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Nt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Nt.setLight,args:[r.light]});var a={},i=[];!function(e,r,n,a){var i;for(i in r=r||{},e=e||{})e.hasOwnProperty(i)&&(r.hasOwnProperty(i)||Vt(i,n,a));for(i in r)r.hasOwnProperty(i)&&(e.hasOwnProperty(i)?t.deepEqual(e[i],r[i])||(\"geojson\"===e[i].type&&\"geojson\"===r[i].type&&qt(e,r,i)?n.push({command:Nt.setGeoJSONSourceData,args:[i,r[i].data]}):Ut(i,r,n,a)):jt(i,r,n))}(e.sources,r.sources,i,a);var o=[];e.layers&&e.layers.forEach(function(t){a[t.source]?n.push({command:Nt.removeLayer,args:[t.id]}):o.push(t)}),n=n.concat(i),function(e,r,n){r=r||[];var a,i,o,s,l,c,u,h=(e=e||[]).map(Gt),f=r.map(Gt),p=e.reduce(Yt,{}),d=r.reduce(Yt,{}),g=h.slice(),v=Object.create(null);for(a=0,i=0;a<h.length;a++)o=h[a],d.hasOwnProperty(o)?i++:(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.indexOf(o,i),1));for(a=0,i=0;a<f.length;a++)o=f[f.length-1-a],g[g.length-1-a]!==o&&(p.hasOwnProperty(o)?(n.push({command:Nt.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-i),1)):i++,c=g[g.length-a],n.push({command:Nt.addLayer,args:[d[o],c]}),g.splice(g.length-a,0,o),v[o]=!0);for(a=0;a<f.length;a++)if(s=p[o=f[a]],l=d[o],!v[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Ht(s.layout,l.layout,n,o,null,Nt.setLayoutProperty),Ht(s.paint,l.paint,n,o,null,Nt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Nt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Nt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Ht(s[u],l[u],n,o,u.slice(6),Nt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Nt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Nt.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Nt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Nt.setStyle,args:[r]}]}return n}(this.serialize(),e).filter(function(t){return!(t.command in De)});if(0===n.length)return!1;var a=n.filter(function(t){return!(t.command in Ie)});if(a.length>0)throw new Error(\"Unimplemented: \"+a.map(function(t){return t.command}).join(\", \")+\".\");return n.forEach(function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)}),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var a=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var i=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);i.style=this,i.setEventedParent(this,function(){return{isSourceLoaded:a.loaded(),source:i.serialize(),sourceId:e}}),i.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=e.id;if(this.getLayer(a))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+a+'\" already exists on this map')));else{var i;if(\"custom\"===e.type){if(ze(this,t.validateCustomStyleLayer(e)))return;i=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(a,e.source),e=t.clone$1(e),e=t.extend(e,{source:a})),this._validate(t.validateStyle.layer,\"layers.\"+a,e,{arrayIndex:-1},n))return;i=t.createStyleLayer(e),this._validateLayer(i),i.setEventedParent(this,{layer:{id:a}})}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,a),this._layerOrderChanged=!0,this._layers[a]=i,this._removedLayers[a]&&i.source&&\"custom\"!==i.type){var s=this._removedLayers[a];delete this._removedLayers[a],s.type!==i.type?this._updatedSources[i.source]=\"clear\":(this._updatedSources[i.source]=\"reload\",this.sourceCaches[i.source].pause())}this._updateLayer(i),i.onAdd&&i.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var a=r?this._order.indexOf(r):this._order.length;r&&-1===a?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(a,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var a=this.getLayer(e);a?a.minzoom===r&&a.maxzoom===n||(null!=r&&(a.minzoom=r),null!=n&&(a.maxzoom=n),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var a=this.getLayer(e);if(a){if(!t.deepEqual(a.filter,r))return null==r?(a.filter=void 0,void this._updateLayer(a)):void(this._validate(t.validateStyle.filter,\"layers.\"+a.id+\".filter\",r,null,n)||(a.filter=t.clone$1(r),this._updateLayer(a)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getLayoutProperty(r),n)||(i.setLayoutProperty(r,n,a),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,a){void 0===a&&(a={}),this._checkLoaded();var i=this.getLayer(e);i?t.deepEqual(i.getPaintProperty(r),n)||(i.setPaintProperty(r,n,a)&&this._updateLayer(i),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=e.sourceLayer,i=this.sourceCaches[n],o=parseInt(e.id,10);if(void 0!==i){var s=i.getSource().type;\"geojson\"===s&&a?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==s||a?isNaN(o)||o<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\"))):i.setFeatureState(a,o,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,a=this.sourceCaches[n];if(void 0!==a){var i=a.getSource().type,o=\"vector\"===i?e.sourceLayer:void 0,s=parseInt(e.id,10);\"vector\"!==i||o?void 0!==e.id&&isNaN(s)||s<0?this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be non-negative.\"))):r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):a.removeFeatureState(o,s,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,a=this.sourceCaches[r],i=parseInt(e.id,10);if(void 0!==a)if(\"vector\"!==a.getSource().type||n){if(!(isNaN(i)||i<0))return a.getFeatureState(n,i);this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided and non-negative.\")))}else this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,function(t){return t.serialize()}),layers:this._serializeLayers(this._order)},function(t){return void 0!==t})},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},a=[],i=this._order.length-1;i>=0;i--){var o=this._order[i];if(r(o)){n[o]=i;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];a.push(f)}}}}a.sort(function(t,e){return e.intersectionZ-t.intersectionZ});for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var v=a.length-1;v>=0;v--){var m=a[v].feature;if(n[m.layer.id]<d)break;p.push(m),a.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var k=w[_];p.push(k.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var a={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var i=0,o=r.layers;i<o.length;i+=1){var s=o[i],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];a[l.source]=!0}}var c=[];for(var u in this.sourceCaches)r.layers&&!a[u]||c.push(F(this.sourceCaches[u],this._layers,e,r,n));return this.placement&&c.push(function(t,e,r,n,a,i){for(var o={},s=a.queryRenderedSymbols(r),l=[],c=0,u=Object.keys(s).map(Number);c<u.length;c+=1){var h=u[c];l.push(i[h])}l.sort(B);for(var f=function(){var e=d[p],r=e.featureIndex.lookupSymbolFeatures(s[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,n.filter,n.layers,t);for(var a in r){var i=o[a]=o[a]||[],l=r[a];l.sort(function(t,r){var n=e.featureSortOrder;if(n){var a=n.indexOf(t.featureIndex);return n.indexOf(r.featureIndex)-a}return r.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];i.push(h)}}},p=0,d=l;p<d.length;p+=1)f();var g=function(r){o[r].forEach(function(n){var a=n.feature,i=t[r],o=e[i.source].getFeatureState(a.layer[\"source-layer\"],a.id);a.source=a.layer.source,a.layer[\"source-layer\"]&&(a.sourceLayer=a.layer[\"source-layer\"]),a.state=o})};for(var v in o)g(v);return o}(this._layers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map(function(e){return t.getTileByID(e)}),n=[],a={},i=0;i<r.length;i++){var o=r[i],s=o.tileID.canonical.key;a[s]||(a[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),a=!1;for(var i in e)if(!t.deepEqual(e[i],n[i])){a=!0;break}if(a){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,a,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&ze(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},a)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginAvailable\",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,a){for(var i=!1,o=!1,s={},l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];if(\"symbol\"===h.type){if(!s[h.source]){var f=this.sourceCaches[h.source];s[h.source]=f.getRenderableIds(!0).map(function(t){return f.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var p=this.crossTileSymbolIndex.addLayer(h,s[h.source],e.center.lng);i=i||p}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var d=this._layerOrderChanged||0===n;if((d||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now()))&&(this.pauseablePlacement=new Se(e,this._order,d,r,n,a,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,s),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),o=!0),i&&this.pauseablePlacement.placement.setStale()),o||i)for(var g=0,v=this._order;g<v.length;g+=1){var m=v[g],y=this._layers[m];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,s[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Re.getSourceType=function(t){return I[t]},Re.setSourceType=function(t,e){I[t]=e},Re.registerForPluginAvailability=t.registerForPluginAvailability;var Fe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Be=cr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ne=cr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),je=cr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ve=cr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Ue=cr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),qe=cr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),He=cr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),Ge=cr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),Ye=cr(\"uniform float u_overscale_factor;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {float alpha=0.5;vec4 color=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {color=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {color*=.2;}float extrude_scale_length=length(v_extrude_scale);float extrude_length=length(v_extrude)*extrude_scale_length;float stroke_width=15.0*extrude_scale_length/u_overscale_factor;float radius=v_radius*extrude_scale_length;float distance_to_edge=abs(extrude_length-radius);float opacity_t=smoothstep(-stroke_width,0.0,-distance_to_edge);gl_FragColor=opacity_t*color;}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);highp float padding_factor=1.2;gl_Position.xy+=a_extrude*u_extrude_scale*padding_factor*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;v_radius=abs(a_extrude.y);v_extrude=a_extrude*padding_factor;v_extrude_scale=u_extrude_scale*u_camera_to_center_distance*collision_perspective_ratio;}\"),We=cr(\"uniform highp vec4 u_color;void main() {gl_FragColor=u_color;}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=cr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ze=cr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),Je=cr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec4 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),Ke=cr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec4 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),Qe=cr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),$e=cr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec4 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),tr=cr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;return (data.r+data.g*256.0+data.b*256.0*256.0)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),er=cr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),rr=cr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),nr=cr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),ar=cr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec4 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x,1.0);float x_b=mod(v_linesofar/pattern_size_b.x,1.0);float y_a=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_a.y+2.0)/2.0)/pattern_size_a.y);float y_b=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_b.y+2.0)/2.0)/pattern_size_b.y);vec2 pos_a=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,vec2(x_a,y_a));vec2 pos_b=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,vec2(x_b,y_b));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);}\"),ir=cr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),or=cr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),sr=cr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),lr=cr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=vec2(tex.x,tex.y);v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\");function cr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,a,i){return n[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"}),vertexSource:e=e.replace(r,function(t,e,r,a,i){var o=\"float\"===a?\"vec2\":\"vec4\",s=i.match(/color/)?\"color\":o;return n[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\nvarying \"+r+\" \"+a+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+a+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+a+\" \"+i+\" = unpack_mix_\"+s+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+a+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})}}var ur=Object.freeze({prelude:Be,background:Ne,backgroundPattern:je,circle:Ve,clippingMask:Ue,heatmap:qe,heatmapTexture:He,collisionBox:Ge,collisionCircle:Ye,debug:We,fill:Xe,fillOutline:Ze,fillOutlinePattern:Je,fillPattern:Ke,fillExtrusion:Qe,fillExtrusionPattern:$e,hillshadePrepare:tr,hillshade:er,line:rr,lineGradient:nr,linePattern:ar,lineSDF:ir,raster:or,symbolIcon:sr,symbolSDF:lr}),hr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};hr.prototype.bind=function(t,e,r,n,a,i,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==a||this.boundVertexOffset!==i||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,a,i,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),a&&a.dynamicDraw&&a.bind(),s&&s.bind())},hr.prototype.freshBind=function(t,e,r,n,a,i,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=a,this.boundDynamicVertexBuffer=i,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var h=l;h<s;h++)u.disableVertexAttribArray(h)}e.enableAttributes(u,t);for(var f=0,p=r;f<p.length;f+=1)p[f].enableAttributes(u,t);i&&i.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,a);for(var d=0,g=r;d<g.length;d+=1){var v=g[d];v.bind(),v.setVertexAttribPointers(u,t,a)}i&&(i.bind(),i.setVertexAttribPointers(u,t,a)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,a)),c.currentNumAttributes=l},hr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var fr=function(t,e,r,n,a){var i=t.gl;this.program=i.createProgram();var o=r.defines();a&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Be.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Be.vertexSource,e.vertexSource).join(\"\\n\"),c=i.createShader(i.FRAGMENT_SHADER);i.shaderSource(c,s),i.compileShader(c),i.attachShader(this.program,c);var u=i.createShader(i.VERTEX_SHADER);i.shaderSource(u,l),i.compileShader(u),i.attachShader(this.program,u);for(var h=r.layoutAttributes||[],f=0;f<h.length;f++)i.bindAttribLocation(this.program,f,h[f].name);i.linkProgram(this.program),this.numAttributes=i.getProgramParameter(this.program,i.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=i.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=i.getAttribLocation(this.program,g.name))}for(var v=i.getProgramParameter(this.program,i.ACTIVE_UNIFORMS),m=0;m<v;m++){var y=i.getActiveUniform(this.program,m);y&&(p[y.name]=i.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r.getUniforms(t,p)};function pr(e,r,n){var a=1/ce(n,1,r.transform.tileZoom),i=Math.pow(2,n.tileID.overscaledZ),o=n.tileSize*Math.pow(2,r.transform.tileZoom)/i,s=o*(n.tileID.canonical.x+n.tileID.wrap*i),l=o*n.tileID.canonical.y;return{u_image:0,u_texsize:n.imageAtlasTexture.size,u_scale:[t.browser.devicePixelRatio,a,e.fromScale,e.toScale],u_fade:e.t,u_pixel_coord_upper:[s>>16,l>>16],u_pixel_coord_lower:[65535&s,65535&l]}}fr.prototype.draw=function(t,e,r,n,a,i,o,s,l,c,u,h,f,p,d,g){var v,m=t.gl;for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(a),t.setCullFace(i),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(v={},v[m.LINES]=2,v[m.TRIANGLES]=3,v[m.LINE_STRIP]=1,v)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],k=w.vaos||(w.vaos={});(k[s]||(k[s]=new hr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),m.drawElements(e,w.primitiveLength*x,m.UNSIGNED_SHORT,w.primitiveOffset*x*2)}};var dr=function(e,r,n,a){var i=r.style.light,o=i.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===i.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=i.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:i.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:a}},gr=function(e,r,n,a,i,o,s){return t.extend(dr(e,r,n,a),pr(o,r,s),{u_height_factor:-Math.pow(2,i.overscaledZ)/s.tileSize/8})},vr=function(t){return{u_matrix:t}},mr=function(e,r,n,a){return t.extend(vr(e),pr(n,r,a))},yr=function(t,e){return{u_matrix:t,u_world:e}},xr=function(e,r,n,a,i){return t.extend(mr(e,r,n,a),{u_world:i})},br=function(e,r,n,a){var i,o,s=e.transform;if(\"map\"===a.paint.get(\"circle-pitch-alignment\")){var l=ce(n,1,s.zoom);i=!0,o=[l,l]}else i=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===a.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,a.paint.get(\"circle-translate\"),a.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+i,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},_r=function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},wr=function(t,e,r){var n=ce(r,1,e.zoom),a=Math.pow(2,e.zoom-r.tileID.overscaledZ),i=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*a),e.pixelsToGLUnits[1]/(n*a)],u_overscale_factor:i}},kr=function(t,e){return{u_matrix:t,u_color:e}},Tr=function(t){return{u_matrix:t}},Mr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ce(e,1,r),u_intensity:n}},Ar=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),i=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Er(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:a,u_accent:i}},Sr=function(e,r){var n=e.dem.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[n,n],u_zoom:e.tileID.overscaledZ,u_maxzoom:r}};function Er(e,r){var n=Math.pow(2,r.canonical.z),a=r.canonical.y;return[new t.MercatorCoordinate(0,a/n).toLngLat().lat,new t.MercatorCoordinate(0,(a+1)/n).toLngLat().lat]}var Lr=function(e,r,n){var a=e.transform;return{u_matrix:Ir(e,r,n),u_ratio:1/ce(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Cr=function(e,r,n){return t.extend(Lr(e,r,n),{u_image:0})},Pr=function(e,r,n,a){var i=e.transform,o=zr(r,i);return{u_matrix:Ir(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ce(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[t.browser.devicePixelRatio,o,a.fromScale,a.toScale],u_fade:a.t,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Or=function(e,r,n,a,i){var o=e.transform,s=e.lineAtlas,l=zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(a.from,c),h=s.getDash(a.to,c),f=u.width*i.fromScale,p=h.width*i.toScale;return t.extend(Lr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:i.t})};function zr(t,e){return 1/ce(t,1,e.tileZoom)}function Ir(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Dr=function(t,e,r,n,a){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*a.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:a.paint.get(\"raster-brightness-min\"),u_brightness_high:a.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=a.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(i=a.paint.get(\"raster-contrast\"),i>0?1/(1-i):1+i),u_spin_weights:Rr(a.paint.get(\"raster-hue-rotate\"))};var i,o};function Rr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Fr=function(t,e,r,n,a,i,o,s,l,c){var u=a.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:a.options.fadeDuration?a.symbolFadeChange:1,u_matrix:i,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Br=function(e,r,n,a,i,o,s,l,c,u,h){var f=i.transform;return t.extend(Fr(e,r,n,a,i,o,s,l,c,u),{u_gamma_scale:a?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Nr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},jr=function(e,r,n,a,i,o){return t.extend(function(t,e,r,n){var a=r.imageManager.getPattern(t.from),i=r.imageManager.getPattern(t.to),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:a.tl,u_pattern_br_a:a.br,u_pattern_tl_b:i.tl,u_pattern_br_b:i.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:a.displaySize,u_pattern_size_b:i.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ce(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(a,o,n,i),{u_matrix:e,u_opacity:r})},Vr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:_r,collisionCircle:_r,debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform4f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1f(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1f(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1f(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Ur(e,r){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),a=0;a<n.length;a++){var i={},o=n[a],s=n.slice(a+1);qr(o.tileID.wrapped(),o.tileID,s,new t.OverscaledTileID(0,o.tileID.wrap+1,0,0,0),i),o.setMask(i,r)}}function qr(e,r,n,a,i){for(var o=0;o<n.length;o++){var s=n[o];if(a.isLessThan(s.tileID))break;if(r.key===s.tileID.key)return;if(s.tileID.isChildOf(r)){for(var l=r.children(1/0),c=0;c<l.length;c++)qr(e,l[c],n.slice(o),a,i);return}}var u=r.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,r.canonical.x-(e.canonical.x<<u),r.canonical.y-(e.canonical.y<<u));i[h.key]=i[h.key]||h}function Hr(t,e,r,n,a){for(var i=t.context,o=i.gl,s=a?t.useProgram(\"collisionCircle\"):t.useProgram(\"collisionBox\"),l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(r);if(h){var f=a?h.collisionCircle:h.collisionBox;f&&s.draw(i,a?o.TRIANGLES:o.LINES,Mt.disabled,At.disabled,t.colorModeForRenderPass(),Et.disabled,wr(c.posMatrix,t.transform,u),r.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,null,t.transform.zoom,null,null,f.collisionVertexBuffer)}}}var Gr=t.identity(new Float32Array(16));function Yr(e,r,n,a,i,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateRadialOffset(e,a);return new t.Point((l/i+u[0])*o,(c/i+u[1])*o)}function Wr(e,r,n,a,i,o,s,l,c,u){var h=e.text.placedSymbolArray,f=e.text.dynamicLayoutVertexArray;f.clear();for(var p=0;p<h.length;p++){var d=h.get(p),g=e.allowVerticalPlacement&&!d.placedOrientation,v=d.hidden||!d.crossTileID||g?null:a[d.crossTileID];if(v){var m=new t.Point(d.anchorX,d.anchorY),y=Jt(m,n?l:s),x=.5+o.cameraToCenterDistance/y.signedDistanceFromCamera*.5,b=i.evaluateSizeForFeature(e.textSizeData,u,d)*x/t.ONE_EM;n&&(b*=e.tilePixelRatio/c);for(var _=v.width,w=v.height,k=v.radialOffset,T=v.textBoxScale,M=Yr(v.anchor,_,w,k,T,b),A=n?Jt(m.add(M),s).point:y.point.add(r?M.rotate(-o.angle):M),S=e.allowVerticalPlacement&&d.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,E=0;E<d.numGlyphs;E++)t.addDynamicAttributes(f,A,S)}else ie(d.numGlyphs,f)}e.text.dynamicLayoutVertexBuffer.updateData(f)}function Xr(e){var r=e.text.placedSymbolArray,n=e.text.dynamicLayoutVertexArray;n.clear();for(var a=0;a<r.length;a++){var i=r.get(a);if(i.hidden||!i.placedOrientation)ie(i.numGlyphs,n);else for(var o=new t.Point(i.anchorX,i.anchorY),s=e.allowVerticalPlacement&&i.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,l=0;l<i.numGlyphs;l++)t.addDynamicAttributes(n,o,s)}e.text.dynamicLayoutVertexBuffer.updateData(n)}function Zr(e,r,n,a,i,o,s,l,c,u,h,f,p){for(var d,g,v=e.context,m=v.gl,y=e.transform,x=\"map\"===l,b=\"map\"===c,_=x&&\"point\"!==n.layout.get(\"symbol-placement\"),w=x&&!b&&!_,k=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),T=e.depthModeForSublayer(0,Mt.ReadOnly),M=n.layout.get(\"text-variable-anchor\"),A=[],S=0,E=a;S<E.length;S+=1){var L=E[S],C=r.getTile(L),P=C.getBucket(n);if(P){var O=i?P.text:P.icon;if(O&&O.segments.get().length){var z=O.programConfigurations.get(n.id),I=i||P.sdfIcons,D=i?P.textSizeData:P.iconSizeData;d||(d=e.useProgram(I?\"symbolSDF\":\"symbolIcon\",z),g=t.evaluateSizeForZoom(D,y.zoom)),v.activeTexture.set(m.TEXTURE0);var R=void 0,F=void 0,B=void 0;if(i)F=C.glyphAtlasTexture,B=m.LINEAR,R=C.glyphAtlasTexture.size;else{var N=1!==n.layout.get(\"icon-size\").constantOr(0)||P.iconsNeedLinear,j=b||0!==y.pitch;F=C.imageAtlasTexture,B=I||e.options.rotating||e.options.zooming||N||j?m.LINEAR:m.NEAREST,R=C.imageAtlasTexture.size}var V=ce(C,1,e.transform.zoom),U=Xt(L.posMatrix,b,x,e.transform,V),q=Zt(L.posMatrix,b,x,e.transform,V);if(_)Qt(P,L.posMatrix,e,i,U,q,b,u);else if(i&&g&&M){var H=Math.pow(2,y.zoom-C.tileID.overscaledZ);Wr(P,x,b,p,t.symbolSize,y,U,L.posMatrix,H,g)}else i&&g&&P.allowVerticalPlacement&&Xr(P);var G=e.translatePosMatrix(L.posMatrix,C,o,s),Y=_||i&&M?Gr:U,W=e.translatePosMatrix(q,C,o,s,!0),X=I&&0!==n.paint.get(i?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Z={program:d,buffers:O,uniformValues:I?Br(D.kind,g,w,b,e,G,Y,W,i,R,!0):Fr(D.kind,g,w,b,e,G,Y,W,i,R),atlasTexture:F,atlasInterpolation:B,isSDF:I,hasHalo:X};if(k)for(var J=0,K=O.segments.get();J<K.length;J+=1){var Q=K[J];A.push({segments:new t.SegmentVector([Q]),sortKey:Q.sortKey,state:Z})}else A.push({segments:O.segments,sortKey:0,state:Z})}}}k&&A.sort(function(t,e){return t.sortKey-e.sortKey});for(var $=0,tt=A;$<tt.length;$+=1){var et=tt[$],rt=et.state;if(rt.atlasTexture.bind(rt.atlasInterpolation,m.CLAMP_TO_EDGE),rt.isSDF){var nt=rt.uniformValues;rt.hasHalo&&(nt.u_is_halo=1,Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,nt)),nt.u_is_halo=0}Jr(rt.buffers,et.segments,n,e,rt.program,T,h,f,rt.uniformValues)}}function Jr(t,e,r,n,a,i,o,s,l){var c=n.context,u=c.gl;a.draw(c,u.TRIANGLES,i,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function Kr(t,e,r,n,a,i,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var v=0,m=n;v<m.length;v+=1){var y=m[v],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePatternPaintBuffers(g));var k=p.constantOr(null);if(k&&x.imageAtlas){var T=x.imageAtlas.patternPositions[k.to],M=x.imageAtlas.patternPositions[k.from];T&&M&&_.setConstantPatternPositions(T,M)}var A=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,h=b.segments2;var S=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?xr(A,t,g,x,S):yr(A,S)}else u=b.indexBuffer,h=b.segments,c=d?mr(A,t,g,x):vr(A);w.draw(t.context,s,a,t.stencilModeForClipping(y),i,Et.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function Qr(t,e,r,n,a,i,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],v=e.getTile(g),m=v.getBucket(r);if(m){var y=m.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),v.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePatternPaintBuffers(h));var b=c.constantOr(null);if(b&&v.imageAtlas){var _=v.imageAtlas.patternPositions[b.to],w=v.imageAtlas.patternPositions[b.from];_&&w&&y.setConstantPatternPositions(_,w)}var k=t.translatePosMatrix(g.posMatrix,v,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),T=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?gr(k,t,T,f,g,h,v):dr(k,t,T,f);x.draw(s,s.gl.TRIANGLES,a,i,o,Et.backCCW,M,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y)}}}function $r(t,e,r,n,a,i){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=Ar(t,e,r);e.maskedBoundsBuffer&&e.maskedIndexBuffer&&e.segments?c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,e.maskedBoundsBuffer,e.maskedIndexBuffer,e.segments):c.draw(o,s.TRIANGLES,n,a,i,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function tn(e,r,n,a,i,o,s){var l=e.context,c=l.gl;if(r.dem&&r.dem.data){var u=r.dem.dim,h=r.dem.stride,f=r.dem.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,f,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var d=r.fbo;if(!d){var g=new t.Texture(l,{width:u,height:u,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(d=r.fbo=l.createFramebuffer(u,u)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(d.framebuffer),l.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,i,o,s,Et.disabled,Sr(r,a),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function en(e,r,n,a,i){var o=a.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=i.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}function rn(e,r,n){var 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c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=At.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<a.length;g++){var v=a[g],m=r.getTile(v),y=m.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:br(e,v,m,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var k=w[_];d.push({segments:new t.SegmentVector([k]),sortKey:k.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort(function(t,e){return t.sortKey-e.sortKey});for(var T=0,M=d;T<M.length;T+=1){var A=M[T],S=A.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,z=A.segments;L.draw(c,u.TRIANGLES,h,f,p,Et.disabled,O,n.id,C,P,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,a){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var i=e.context,o=i.gl,s=e.depthModeForSublayer(0,Mt.ReadOnly),l=At.disabled,c=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var a=r.heatmapFbo;if(a)n.bindTexture(n.TEXTURE_2D,a.colorAttachment.get()),t.bindFramebuffer.set(a.framebuffer);else{var i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),a=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4),function t(e,r,n,a){var i=e.gl;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,r.width/4,r.height/4,0,i.RGBA,e.extTextureHalfFloat?e.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE,null),a.colorAttachment.set(n),e.extTextureHalfFloat&&i.checkFramebufferStatus(i.FRAMEBUFFER)!==i.FRAMEBUFFER_COMPLETE&&(e.extTextureHalfFloat=null,a.colorAttachment.setDirty(),t(e,r,n,a))}(t,e,i,a)}}(i,e,n),i.clear({color:t.Color.transparent});for(var u=0;u<a.length;u++){var h=a[u];if(!r.hasRenderableParent(h)){var f=r.getTile(h),p=f.getBucket(n);if(p){var d=p.programConfigurations.get(n.id),g=e.useProgram(\"heatmap\",d),v=e.transform.zoom;g.draw(i,o.TRIANGLES,s,l,c,Et.disabled,Mr(h.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,p.layoutVertexBuffer,p.indexBuffer,p.segments,n.paint,e.transform.zoom,d)}}}i.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,a=n.gl,i=r.heatmapFbo;if(i){n.activeTexture.set(a.TEXTURE0),a.bindTexture(a.TEXTURE_2D,i.colorAttachment.get()),n.activeTexture.set(a.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,a.RGBA)),o.bind(a.LINEAR,a.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,a.TRIANGLES,Mt.disabled,At.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,a){var i=t.create();t.ortho(i,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:i,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:a,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,a){if(\"translucent\"===e.renderPass){var i=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==i.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),h=u.constantOr(1),f=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=c?\"lineSDF\":h?\"linePattern\":f?\"lineGradient\":\"line\",g=e.context,v=g.gl,m=!0;if(f){g.activeTexture.set(v.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,v.RGBA)),y.bind(v.LINEAR,v.CLAMP_TO_EDGE)}for(var x=0,b=a;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var k=w.getBucket(n);if(k){var T=k.programConfigurations.get(n.id),M=e.context.program.get(),A=e.useProgram(d,T),S=m||A.program!==M,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas.patternPositions[E.to],C=w.imageAtlas.patternPositions[E.from];L&&C&&T.setConstantPatternPositions(L,C)}var P=c?Or(e,w,n,c,p):h?Pr(e,w,n,p):f?Cr(e,w,n):Lr(e,w,n);c&&(S||e.lineAtlas.dirty)?(g.activeTexture.set(v.TEXTURE0),e.lineAtlas.bind(g)):h&&(g.activeTexture.set(v.TEXTURE0),w.imageAtlasTexture.bind(v.LINEAR,v.CLAMP_TO_EDGE),T.updatePatternPaintBuffers(p)),A.draw(g,v.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,P,n.id,k.layoutVertexBuffer,k.indexBuffer,k.segments,n.paint,e.transform.zoom,T),m=!1}}}}}},fill:function(e,r,n,a){var i=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===i.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);Kr(e,r,n,a,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var h=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);Kr(e,r,n,a,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var a=r.paint.get(\"fill-extrusion-opacity\");if(0!==a&&\"translucent\"===t.renderPass){var i=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==a||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))Qr(t,e,r,n,i,At.disabled,St.disabled),Qr(t,e,r,n,i,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();Qr(t,e,r,n,i,At.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var a=t.context,i=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=At.disabled,l=t.colorModeForRenderPass(),c=0,u=n;c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?tn(t,f,r,i,o,s,l):\"translucent\"===t.renderPass&&$r(t,f,r,o,s,l)}a.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\"))for(var a=t.context,i=a.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=At.disabled,c=t.colorModeForRenderPass(),u=n.length&&n[0].overscaledZ,h=!t.options.moving,f=0,p=n;f<p.length;f+=1){var d=p[f],g=t.depthModeForSublayer(d.overscaledZ-u,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,i.LESS),v=e.getTile(d),m=t.transform.calculatePosMatrix(d.toUnwrapped(),h);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var y=e.findLoadedParent(d,0),x=en(v,y,e,r,t.transform),b=void 0,_=void 0,w=\"nearest\"===r.paint.get(\"raster-resampling\")?i.NEAREST:i.LINEAR;a.activeTexture.set(i.TEXTURE0),v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),a.activeTexture.set(i.TEXTURE1),y?(y.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST),b=Math.pow(2,y.tileID.overscaledZ-v.tileID.overscaledZ),_=[v.tileID.canonical.x*b%1,v.tileID.canonical.y*b%1]):v.texture.bind(w,i.CLAMP_TO_EDGE,i.LINEAR_MIPMAP_NEAREST);var k=Dr(m,_||[0,0],b||1,x,r);o instanceof P?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):v.maskedBoundsBuffer&&v.maskedIndexBuffer&&v.segments?s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,v.maskedBoundsBuffer,v.maskedIndexBuffer,v.segments,r.paint,t.transform.zoom):s.draw(a,i.TRIANGLES,g,l,c,Et.disabled,k,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0!==a){var i=t.context,o=i.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(i.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var v=r.getCrossfadeParameters(),m=0,y=g;m<y.length;m+=1){var x=y[m],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?jr(b,a,t,c,{tileID:x,tileSize:l},v):Nr(b,a,n);d.draw(i,o.TRIANGLES,f,h,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)rn(t,e,r[n])},custom:function(t,e,r){var n=t.context,a=r.implementation;if(\"offscreen\"===t.renderPass){var i=a.prerender;i&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),i.call(a,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(At.disabled);var o=\"3d\"===a.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),a.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},on=function(e,r){this.context=new Lt(e),this.transform=r,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.ProgramConfiguration,this.crossTileSymbolIndex=new Oe};function sn(t,e){if(t.y>e.y){var r=t;t=e,e=r}return{x0:t.x,y0:t.y,x1:e.x,y1:e.y,dx:e.x-t.x,dy:e.y-t.y}}function ln(t,e,r,n,a){var i=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,f=i;f<o;f++){var p=l*Math.max(0,Math.min(t.dy,f+u-t.y0))+t.x0,d=c*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;a(Math.floor(d),Math.ceil(p),f)}}function cn(t,e,r,n,a,i){var o,s=sn(t,e),l=sn(e,r),c=sn(r,t);s.dy>l.dy&&(o=s,s=l,l=o),s.dy>c.dy&&(o=s,s=c,c=o),l.dy>c.dy&&(o=l,l=c,c=o),s.dy&&ln(c,s,n,a,i),l.dy&&ln(c,l,n,a,i)}on.prototype.resize=function(e,r){var n=this.context.gl;if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var a=0,i=this.style._order;a<i.length;a+=1){var o=i[a];this.style._layers[o].resize()}this.depthRbo&&(n.deleteRenderbuffer(this.depthRbo),this.depthRbo=null)},on.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Fe.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Fe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var a=new t.StructArrayLayout4i8;a.emplaceBack(0,0,0,0),a.emplaceBack(t.EXTENT,0,t.EXTENT,0),a.emplaceBack(0,t.EXTENT,0,t.EXTENT),a.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(a,t.rasterBoundsAttributes.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var i=new t.StructArrayLayout2i4;i.emplaceBack(0,0),i.emplaceBack(1,0),i.emplaceBack(0,1),i.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(i,Fe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},on.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,St.disabled,Et.disabled,Tr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},on.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(Mt.disabled);var a=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var i=0,o=e;i<o.length;i+=1){var s=o[i],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;a.draw(r,n.TRIANGLES,Mt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Tr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},on.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},on.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},on.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},on.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},on.prototype.render=function(e,r){this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var n=this.style._order,a=this.style.sourceCaches;for(var i in a){var o=a[i];o.used&&o.prepare(this.context)}var s={},l={},c={};for(var u in a){var h=a[u];s[u]=h.getVisibleCoordinates(),l[u]=s[u].slice().reverse(),c[u]=h.getVisibleCoordinates(!0).reverse()}for(var f in a){var p=a[f],d=p.getSource();if(\"raster\"===d.type||\"raster-dem\"===d.type){for(var g=[],v=0,m=s[f];v<m.length;v+=1){var y=m[v];g.push(p.getTile(y))}Ur(g,this.context)}}this.opaquePassCutoff=1/0;for(var x=0;x<n.length;x++){var b=n[x];if(this.style._layers[b].is3D()){this.opaquePassCutoff=x;break}}this.renderPass=\"offscreen\",this.depthRboNeedsClear=!0;for(var _=0,w=n;_<w.length;_+=1){var k=w[_],T=this.style._layers[k];if(T.hasOffscreenPass()&&!T.isHidden(this.transform.zoom)){var M=l[T.source];(\"custom\"===T.type||M.length)&&this.renderLayer(this,a[T.source],T,M)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=n.length-1;this.currentLayer>=0;this.currentLayer--){var A=this.style._layers[n[this.currentLayer]],S=a[A.source],E=s[A.source];this._renderTileClippingMasks(A,E),this.renderLayer(this,S,A,E)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<n.length;this.currentLayer++){var L=this.style._layers[n[this.currentLayer]],C=a[L.source],P=(\"symbol\"===L.type?c:l)[L.source];this._renderTileClippingMasks(L,s[L.source]),this.renderLayer(this,C,L,P)}if(this.options.showTileBoundaries)for(var O in a){an.debug(this,a[O],s[O]);break}this.context.setDefault()},on.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height))},on.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,an[r.type](t,e,r,n,this.style.placement.variableOffsets))},on.prototype.translatePosMatrix=function(e,r,n,a,i){if(!n[0]&&!n[1])return e;var o=i?\"map\"===a?this.transform.angle:0:\"viewport\"===a?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[i?n[0]:ce(r,n[0],this.transform.zoom),i?n[1]:ce(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},on.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},on.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},on.prototype.isPatternMissing=function(t){if(!t)return!1;var e=this.imageManager.getPattern(t.from),r=this.imageManager.getPattern(t.to);return!e||!r},on.prototype.useProgram=function(t,e){void 0===e&&(e=this.emptyProgramConfiguration),this.cache=this.cache||{};var r=\"\"+t+(e.cacheKey||\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new fr(this.context,ur[t],e,Vr[t],this._showOverdrawInspector)),this.cache[r]},on.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},on.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)};var un=function(e,r,n){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===n||n,this._minZoom=e||0,this._maxZoom=r||22,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._posMatrixCache={},this._alignedPosMatrixCache={}},hn={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};un.prototype.clone=function(){var t=new un(this._minZoom,this._maxZoom,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._calcMatrices(),t},hn.minZoom.get=function(){return this._minZoom},hn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},hn.maxZoom.get=function(){return this._maxZoom},hn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},hn.renderWorldCopies.get=function(){return this._renderWorldCopies},hn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},hn.worldSize.get=function(){return this.tileSize*this.scale},hn.centerPoint.get=function(){return this.size._div(2)},hn.size.get=function(){return new t.Point(this.width,this.height)},hn.bearing.get=function(){return-this.angle/Math.PI*180},hn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},hn.pitch.get=function(){return this._pitch/Math.PI*180},hn.pitch.set=function(e){var r=t.clamp(e,0,60)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},hn.fov.get=function(){return this._fov/Math.PI*180},hn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},hn.zoom.get=function(){return this._zoom},hn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},hn.center.get=function(){return this._center},hn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},un.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},un.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),a=this.pointCoordinate(new t.Point(this.width,0)),i=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,a.x,i.x,o.x)),l=Math.floor(Math.max(n.x,a.x,i.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},un.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var a=t.MercatorCoordinate.fromLngLat(this.center),i=Math.pow(2,r),o=new t.Point(i*a.x-.5,i*a.y-.5);return function(e,r,n,a){void 0===a&&(a=!0);var i=1<<e,o={};function s(r,s,l){var c,u,h,f;if(l>=0&&l<=i)for(c=r;c<s;c++)u=Math.floor(c/i),h=(c%i+i)%i,0!==u&&!0!==a||(f=new t.OverscaledTileID(n,u,e,h,l),o[f.key]=f)}var l=r.map(function(e){return new t.Point(e.x,e.y)._mult(i)});return cn(l[0],l[1],l[2],0,i,s),cn(l[2],l[3],l[0],0,i,s),Object.keys(o).map(function(t){return o[t]})}(r,[this.pointCoordinate(new t.Point(0,0)),this.pointCoordinate(new t.Point(this.width,0)),this.pointCoordinate(new t.Point(this.width,this.height)),this.pointCoordinate(new t.Point(0,this.height))],e.reparseOverscaled?n:r,this._renderWorldCopies).sort(function(t,e){return o.dist(t.canonical)-o.dist(e.canonical)})},un.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},hn.unmodified.get=function(){return this._unmodified},un.prototype.zoomScale=function(t){return Math.pow(2,t)},un.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},un.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},un.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},hn.point.get=function(){return this.project(this.center)},un.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),a=this.pointCoordinate(this.centerPoint),i=this.locationCoordinate(e),o=new t.MercatorCoordinate(i.x-(n.x-a.x),i.y-(n.y-a.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},un.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},un.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},un.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},un.prototype.coordinateLocation=function(t){return t.toLngLat()},un.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var a=r[3],i=n[3],o=r[0]/a,s=n[0]/i,l=r[1]/a,c=n[1]/i,u=r[2]/a,h=n[2]/i,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},un.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},un.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},un.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},un.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},un.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,a=r?this._alignedPosMatrixCache:this._posMatrixCache;if(a[n])return a[n];var i=e.canonical,o=this.worldSize/this.zoomScale(i.z),s=i.x+Math.pow(2,i.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,i.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),a[n]=new Float32Array(l),a[n]},un.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},un.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,a,i=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;i=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-i<c.y?c.y/(o-i):0}if(this.lngRange){var f=this.lngRange;s=t.mercatorXfromLng(f[0])*this.worldSize,r=(l=t.mercatorXfromLng(f[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+i)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,v=c.y/2;g-v<i&&(a=i+v),g+v>o&&(a=o-v)}if(this.lngRange){var m=p.x,y=c.x/2;m-y<s&&(n=s+y),m+y>l&&(n=l-y)}void 0===n&&void 0===a||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==a?a:p.y))),this._unmodified=u,this._constraining=!1}},un.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var e=this._fov/2,r=Math.PI/2+this._pitch,n=Math.sin(e)*this.cameraToCenterDistance/Math.sin(Math.PI-r-e),a=this.point,i=a.x,o=a.y,s=1.01*(Math.cos(Math.PI/2-this._pitch)*n+this.cameraToCenterDistance),l=this.height/50,c=new Float64Array(16);t.perspective(c,this._fov,this.width/this.height,l,s),t.scale(c,c,[1,-1,1]),t.translate(c,c,[0,0,-this.cameraToCenterDistance]),t.rotateX(c,c,this._pitch),t.rotateZ(c,c,this.angle),t.translate(c,c,[-i,-o,0]),this.mercatorMatrix=t.scale([],c,[this.worldSize,this.worldSize,this.worldSize]),t.scale(c,c,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=c;var u=this.width%2/2,h=this.height%2/2,f=Math.cos(this.angle),p=Math.sin(this.angle),d=i-Math.round(i)+f*u+p*h,g=o-Math.round(o)+f*h+p*u,v=new Float64Array(c);if(t.translate(v,v,[d>.5?d-1:d,g>.5?g-1:g,0]),this.alignedProjMatrix=v,c=t.create(),t.scale(c,c,[this.width/2,-this.height/2,1]),t.translate(c,c,[1,-1,0]),this.labelPlaneMatrix=c,c=t.create(),t.scale(c,c,[1,-1,1]),t.translate(c,c,[-1,-1,0]),t.scale(c,c,[2/this.width,2/this.height,1]),this.glCoordMatrix=c,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(c=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=c,this._posMatrixCache={},this._alignedPosMatrixCache={}}},un.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},un.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},un.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,a=r.y,i=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),a=Math.min(a,c.y),i=Math.max(i,c.x),o=Math.max(o,c.y)}return[new t.Point(n,a),new t.Point(i,a),new t.Point(i,o),new t.Point(n,o),new t.Point(n,a)]},Object.defineProperties(un.prototype,hn);var fn=function(){var e,r,n,a;t.bindAll([\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),300,r=!1,n=null,a=function(){n=null,r&&(e(),n=setTimeout(a,300),r=!1)},function(){return r=!0,n||a(),n})};fn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},fn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},fn.prototype.getHashString=function(t){var e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,n),i=Math.round(e.lng*a)/a,o=Math.round(e.lat*a)/a,s=this._map.getBearing(),l=this._map.getPitch(),c=\"\";return c+=t?\"#/\"+i+\"/\"+o+\"/\"+r:\"#\"+r+\"/\"+o+\"/\"+i,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=\"/\"+Math.round(l)),c},fn.prototype._onHashChange=function(){var e=t.window.location.hash.replace(\"#\",\"\").split(\"/\");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},fn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var pn=function(e){function n(n,a,i,o){void 0===o&&(o={});var s=r.mousePos(a.getCanvasContainer(),i),l=a.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:i},o)),this._defaultPrevented=!1,this.target=a}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),dn=function(e){function n(n,a,i){var o=r.touchPos(a.getCanvasContainer(),i),s=o.map(function(t){return a.unproject(t)}),l=o.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=a.unproject(l);e.call(this,n,{points:o,point:l,lngLats:s,lngLat:c,originalEvent:i}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var a={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},a.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,a),n}(t.Event),gn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),vn=function(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};vn.prototype.setZoomRate=function(t){this._defaultZoomRate=t},vn.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},vn.prototype.isEnabled=function(){return!!this._enabled},vn.prototype.isActive=function(){return!!this._active},vn.prototype.isZooming=function(){return!!this._zooming},vn.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},vn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},vn.prototype.onWheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),a=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":a>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(a*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this.isActive()||this._start(e)),e.preventDefault()}},vn.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this.isActive()||this._start(t)},vn.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0,this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._map.fire(new t.Event(\"zoomstart\",{originalEvent:e}))),this._finishTimeout&&clearTimeout(this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame))}},vn.prototype._onScrollFrame=function(){var e=this;if(this._frameId=null,this.isActive()){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,a=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==a&&(a=1/a);var i=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(i*a))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,s=this._startZoom,l=this._easing,c=!1;if(\"wheel\"===this._type&&s&&l){var u=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=l(u);r.zoom=t.number(s,o,h),u<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):c=!0}else r.zoom=o,c=!0;r.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event(\"zoom\",{originalEvent:this._lastWheelEvent})),c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._map.fire(new t.Event(\"zoomend\",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event(\"moveend\",{originalEvent:e._lastWheelEvent})),delete e._targetZoom},200))}},vn.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,a=(t.browser.now()-n.start)/n.duration,i=n.easing(a+.01)-n.easing(a),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r};var mn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMouseMove\",\"_onMouseUp\",\"_onKeyDown\"],this)};mn.prototype.isEnabled=function(){return!!this._enabled},mn.prototype.isActive=function(){return!!this._active},mn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},mn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},mn.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.addEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.addEventListener(\"mouseup\",this._onMouseUp,!1),r.disableDrag(),this._startPos=this._lastPos=r.mousePos(this._el,e),this._active=!0)},mn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);if(!(this._lastPos.equals(e)||!this._box&&e.dist(this._startPos)<this._clickTolerance)){var n=this._startPos;this._lastPos=e,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(n.x,e.x),i=Math.max(n.x,e.x),o=Math.min(n.y,e.y),s=Math.max(n.y,e.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+o+\"px)\"),this._box.style.width=i-a+\"px\",this._box.style.height=s-o+\"px\"}},mn.prototype._onMouseUp=function(e){if(0===e.button){var n=this._startPos,a=r.mousePos(this._el,e);this._finish(),r.suppressClick(),n.x===a.x&&n.y===a.y?this._fireEvent(\"boxzoomcancel\",e):this._map.fitScreenCoordinates(n,a,this._map.getBearing(),{linear:!0}).fire(new t.Event(\"boxzoomend\",{originalEvent:e}))}},mn.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent(\"boxzoomcancel\",t))},mn.prototype._finish=function(){this._active=!1,t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,!1),t.window.document.removeEventListener(\"keydown\",this._onKeyDown,!1),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp,!1),this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},mn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var yn=t.bezier(0,0,.25,1),xn=function(e,r){this._map=e,this._el=r.element||e.getCanvasContainer(),this._state=\"disabled\",this._button=r.button||\"right\",this._bearingSnap=r.bearingSnap||0,this._pitchWithRotate=!1!==r.pitchWithRotate,t.bindAll([\"onMouseDown\",\"_onMouseMove\",\"_onMouseUp\",\"_onBlur\",\"_onDragFrame\"],this)};xn.prototype.isEnabled=function(){return\"disabled\"!==this._state},xn.prototype.isActive=function(){return\"active\"===this._state},xn.prototype.enable=function(){this.isEnabled()||(this._state=\"enabled\")},xn.prototype.disable=function(){if(this.isEnabled())switch(this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\"),this._pitchWithRotate&&this._fireEvent(\"pitchend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},xn.prototype.onMouseDown=function(e){if(\"enabled\"===this._state){var n=\"touchstart\"===e.type;if(n)this._startTime=Date.now();else if(\"right\"===this._button){if(this._eventButton=r.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==r.mouseButton(e))return;this._eventButton=0}r.disableDrag(),n?(t.window.document.addEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"touchend\",this._onMouseUp)):(t.window.document.addEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.addEventListener(\"mouseup\",this._onMouseUp)),t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._inertia=[[t.browser.now(),this._map.getBearing()]],this._startPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault()}},xn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);this._lastPos.equals(e)||(this._lastMoveEvent=t,this._lastPos=e,\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"rotatestart\",t),this._fireEvent(\"movestart\",t),this._pitchWithRotate&&this._fireEvent(\"pitchstart\",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},xn.prototype._onDragFrame=function(){this._frameId=null;var e=this._lastMoveEvent;if(e){var r=this._map.transform,n=this._prevPos,a=this._lastPos,i=.8*(n.x-a.x),o=-.5*(n.y-a.y),s=r.bearing-i,l=r.pitch-o,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([t.browser.now(),this._map._normalizeBearing(s,u[1])]),r.bearing=s,this._pitchWithRotate&&(this._fireEvent(\"pitch\",e),r.pitch=l),this._fireEvent(\"rotate\",e),this._fireEvent(\"move\",e),delete this._lastMoveEvent,this._prevPos=this._lastPos}},xn.prototype._onMouseUp=function(t){if(\"touchend\"===t.type&&this._startPos===this._lastPos&&Date.now()-this._startTime<300&&this._el.click(),r.mouseButton(t)===this._eventButton)switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},xn.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"rotateend\",t),this._pitchWithRotate&&this._fireEvent(\"pitchend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},xn.prototype._unbind=function(){t.window.document.removeEventListener(\"mousemove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"mouseup\",this._onMouseUp),t.window.document.removeEventListener(\"touchmove\",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener(\"touchend\",this._onMouseUp),t.window.removeEventListener(\"blur\",this._onBlur),r.enableDrag()},xn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._lastPos},xn.prototype._inertialRotate=function(t){var e=this;this._fireEvent(\"rotateend\",t),this._drainInertiaBuffer();var r=this._map,n=r.getBearing(),a=this._inertia,i=function(){Math.abs(n)<e._bearingSnap?r.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent(\"moveend\",t),e._pitchWithRotate&&e._fireEvent(\"pitchend\",t)};if(a.length<2)i();else{var o=a[0],s=a[a.length-1],l=a[a.length-2],c=r._normalizeBearing(n,l[1]),u=s[1]-o[1],h=u<0?-1:1,f=(s[0]-o[0])/1e3;if(0!==u&&0!==f){var p=Math.abs(u*(.25/f));p>180&&(p=180);var d=p/180;c+=h*p*(d/2),Math.abs(r._normalizeBearing(c,0))<this._bearingSnap&&(c=r._normalizeBearing(0,c)),r.rotateTo(c,{duration:1e3*d,easing:yn,noMoveStart:!0},{originalEvent:t})}else i()}},xn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},xn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var bn=t.bezier(0,0,.3,1),_n=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._state=\"disabled\",this._clickTolerance=r.clickTolerance||1,t.bindAll([\"_onMove\",\"_onMouseUp\",\"_onTouchEnd\",\"_onBlur\",\"_onDragFrame\"],this)};_n.prototype.isEnabled=function(){return\"disabled\"!==this._state},_n.prototype.isActive=function(){return\"active\"===this._state},_n.prototype.enable=function(){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-drag-pan\"),this._state=\"enabled\")},_n.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove(\"mapboxgl-touch-drag-pan\"),this._state){case\"active\":this._state=\"disabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\"),this._fireEvent(\"moveend\");break;case\"pending\":this._state=\"disabled\",this._unbind();break;default:this._state=\"disabled\"}},_n.prototype.onMouseDown=function(e){\"enabled\"===this._state&&(e.ctrlKey||0!==r.mouseButton(e)||(r.addEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.addEventListener(t.window.document,\"mouseup\",this._onMouseUp),this._start(e)))},_n.prototype.onTouchStart=function(e){\"enabled\"===this._state&&(e.touches.length>1||(r.addEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onTouchEnd),this._start(e)))},_n.prototype._start=function(e){t.window.addEventListener(\"blur\",this._onBlur),this._state=\"pending\",this._startPos=this._mouseDownPos=this._prevPos=this._lastPos=r.mousePos(this._el,e),this._inertia=[[t.browser.now(),this._startPos]]},_n.prototype._onMove=function(e){e.preventDefault();var n=r.mousePos(this._el,e);this._lastPos.equals(n)||\"pending\"===this._state&&n.dist(this._mouseDownPos)<this._clickTolerance||(this._lastMoveEvent=e,this._lastPos=n,this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),this._lastPos]),\"pending\"===this._state&&(this._state=\"active\",this._fireEvent(\"dragstart\",e),this._fireEvent(\"movestart\",e)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},_n.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._prevPos),this._lastPos),this._fireEvent(\"drag\",t),this._fireEvent(\"move\",t),this._prevPos=this._lastPos,delete this._lastMoveEvent}},_n.prototype._onMouseUp=function(t){if(0===r.mouseButton(t))switch(this._state){case\"active\":this._state=\"enabled\",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._onTouchEnd=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._inertialPan(t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._onBlur=function(t){switch(this._state){case\"active\":this._state=\"enabled\",this._unbind(),this._deactivate(),this._fireEvent(\"dragend\",t),this._fireEvent(\"moveend\",t);break;case\"pending\":this._state=\"enabled\",this._unbind()}},_n.prototype._unbind=function(){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{capture:!0,passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onTouchEnd),r.removeEventListener(t.window.document,\"mousemove\",this._onMove,{capture:!0}),r.removeEventListener(t.window.document,\"mouseup\",this._onMouseUp),r.removeEventListener(t.window,\"blur\",this._onBlur)},_n.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._prevPos,delete this._mouseDownPos,delete this._lastPos},_n.prototype._inertialPan=function(t){this._fireEvent(\"dragend\",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent(\"moveend\",t);else{var r=e[e.length-1],n=e[0],a=r[1].sub(n[1]),i=(r[0]-n[0])/1e3;if(0===i||r[1].equals(n[1]))this._fireEvent(\"moveend\",t);else{var o=a.mult(.3/i),s=o.mag();s>1400&&(s=1400,o._unit()._mult(s));var l=s/750,c=o.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:bn,noMoveStart:!0},{originalEvent:t})}}},_n.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_n.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var wn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onKeyDown\"],this)};function kn(t){return t*(2-t)}wn.prototype.isEnabled=function(){return!!this._enabled},wn.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener(\"keydown\",this._onKeyDown,!1),this._enabled=!0)},wn.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener(\"keydown\",this._onKeyDown),this._enabled=!1)},wn.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var e=0,r=0,n=0,a=0,i=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),i=-1);break;case 40:t.shiftKey?n=-1:(i=1,t.preventDefault());break;default:return}var o=this._map,s=o.getZoom(),l={duration:300,delayEndEvents:500,easing:kn,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:o.getBearing()+15*r,pitch:o.getPitch()+10*n,offset:[100*-a,100*-i],center:o.getCenter()};o.easeTo(l,{originalEvent:t})}};var Tn=function(e){this._map=e,t.bindAll([\"_onDblClick\",\"_onZoomEnd\"],this)};Tn.prototype.isEnabled=function(){return!!this._enabled},Tn.prototype.isActive=function(){return!!this._active},Tn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Tn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Tn.prototype.onTouchStart=function(t){var e=this;if(this.isEnabled()&&!(t.points.length>1))if(this._tapped){var r=t.points[0],n=this._tappedPoint;if(n&&n.dist(r)<=30){t.originalEvent.preventDefault();var a=function(){e._tapped&&e._zoom(t),e._map.off(\"touchcancel\",i),e._resetTapped()},i=function(){e._map.off(\"touchend\",a),e._resetTapped()};this._map.once(\"touchend\",a),this._map.once(\"touchcancel\",i)}else this._resetTapped()}else this._tappedPoint=t.points[0],this._tapped=setTimeout(function(){e._tapped=null,e._tappedPoint=null},300)},Tn.prototype._resetTapped=function(){clearTimeout(this._tapped),this._tapped=null,this._tappedPoint=null},Tn.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t))},Tn.prototype._zoom=function(t){this._active=!0,this._map.on(\"zoomend\",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)},Tn.prototype._onZoomEnd=function(){this._active=!1,this._map.off(\"zoomend\",this._onZoomEnd)};var Mn=t.bezier(0,0,.15,1),An=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll([\"_onMove\",\"_onEnd\",\"_onTouchFrame\"],this)};An.prototype.isEnabled=function(){return!!this._enabled},An.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)},An.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\"),this._enabled=!1)},An.prototype.disableRotation=function(){this._rotationDisabled=!0},An.prototype.enableRotation=function(){this._rotationDisabled=!1},An.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var n=r.mousePos(this._el,e.touches[0]),a=r.mousePos(this._el,e.touches[1]),i=n.add(a).div(2);this._startVec=n.sub(a),this._startAround=this._map.transform.pointLocation(i),this._gestureIntent=void 0,this._inertia=[],r.addEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.addEventListener(t.window.document,\"touchend\",this._onEnd)}},An.prototype._getTouchEventData=function(t){var e=r.mousePos(this._el,t.touches[0]),n=r.mousePos(this._el,t.touches[1]),a=e.sub(n);return{vec:a,center:e.add(n).div(2),scale:a.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*a.angleWith(this._startVec)/Math.PI}},An.prototype._onMove=function(e){if(2===e.touches.length){var r=this._getTouchEventData(e),n=r.vec,a=r.scale,i=r.bearing;if(!this._gestureIntent){var o=this._rotationDisabled&&1!==a||Math.abs(1-a)>.15;Math.abs(i)>10?this._gestureIntent=\"rotate\":o&&(this._gestureIntent=\"zoom\"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+\"start\",{originalEvent:e})),this._map.fire(new t.Event(\"movestart\",{originalEvent:e})),this._startVec=n)}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault()}},An.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var r=this._map.transform;this._startScale||(this._startScale=r.scale,this._startBearing=r.bearing);var n=this._getTouchEventData(this._lastTouchEvent),a=n.center,i=n.bearing,o=n.scale,s=r.pointLocation(a),l=r.locationPoint(s);\"rotate\"===e&&(r.bearing=this._startBearing+i),r.zoom=r.scaleZoom(this._startScale*o),r.setLocationAtPoint(this._startAround,l),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event(\"move\",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),o,a])}},An.prototype._onEnd=function(e){r.removeEventListener(t.window.document,\"touchmove\",this._onMove,{passive:!1}),r.removeEventListener(t.window.document,\"touchend\",this._onEnd);var n=this._gestureIntent,a=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,n){this._map.fire(new t.Event(n+\"end\",{originalEvent:e})),this._drainInertiaBuffer();var i=this._inertia,o=this._map;if(i.length<2)o.snapToNorth({},{originalEvent:e});else{var s=i[i.length-1],l=i[0],c=o.transform.scaleZoom(a*s[1]),u=o.transform.scaleZoom(a*l[1]),h=c-u,f=(s[0]-l[0])/1e3,p=s[2];if(0!==f&&c!==u){var d=.15*h/f;Math.abs(d)>2.5&&(d=d>0?2.5:-2.5);var g=1e3*Math.abs(d/(12*.15)),v=c+d*g/2e3;v<0&&(v=0),o.easeTo({zoom:v,duration:g,easing:Mn,around:this._aroundCenter?o.getCenter():o.unproject(p),noMoveStart:!0},{originalEvent:e})}else o.snapToNorth({},{originalEvent:e})}}},An.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>2&&r-e[0][0]>160;)e.shift()};var Sn={scrollZoom:vn,boxZoom:mn,dragRotate:xn,dragPan:_n,keyboard:wn,doubleClickZoom:Tn,touchZoomRotate:An},En=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,a){if(\"number\"==typeof(a=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},a)).padding){var i=a.padding;a.padding={top:i,bottom:i,right:i,left:i}}if(t.deepEqual(Object.keys(a.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),[\"bottom\",\"left\",\"right\",\"top\"])){var o=this.transform,s=o.project(t.LngLat.convert(e)),l=o.project(t.LngLat.convert(r)),c=s.rotate(-n*Math.PI/180),u=l.rotate(-n*Math.PI/180),h=new t.Point(Math.max(c.x,u.x),Math.max(c.y,u.y)),f=new t.Point(Math.min(c.x,u.x),Math.min(c.y,u.y)),p=h.sub(f),d=(o.width-a.padding.left-a.padding.right)/p.x,g=(o.height-a.padding.top-a.padding.bottom)/p.y;if(!(g<0||d<0)){var v=Math.min(o.scaleZoom(o.scale*Math.min(d,g)),a.maxZoom),m=t.Point.convert(a.offset),y=(a.padding.left-a.padding.right)/2,x=(a.padding.top-a.padding.bottom)/2,b=new t.Point(m.x+y,m.y+x).mult(o.scale/o.zoomScale(v));return{center:o.unproject(s.add(l).div(2).sub(b)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")}else t.warnOnce(\"options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,a,i){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,a),a,i)},r.prototype._fitInternal=function(e,r,n){return e?(r=t.extend(e,r)).linear?this.easeTo(r,n):this.flyTo(r,n):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,a=!1,i=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(a=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(i=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),a&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),i&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this.stop(),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||t.browser.prefersReducedMotion)&&(e.duration=0);var a=this.transform,i=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=\"zoom\"in e?+e.zoom:i,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,u=\"pitch\"in e?+e.pitch:s,h=a.centerPoint.add(t.Point.convert(e.offset)),f=a.pointLocation(h),p=t.LngLat.convert(e.center||f);this._normalizeCenter(p);var d,g,v=a.project(f),m=a.project(p).sub(v),y=a.zoomScale(l-i);return e.around&&(d=t.LngLat.convert(e.around),g=a.locationPoint(d)),this._zooming=l!==i,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(a.zoom=t.number(i,l,e)),n._rotating&&(a.bearing=t.number(o,c,e)),n._pitching&&(a.pitch=t.number(s,u,e)),d)a.setLocationAtPoint(d,g);else{var f=a.zoomScale(a.zoom-i),p=l>i?Math.min(2,y):Math.max(.5,y),x=Math.pow(p,1-e),b=a.unproject(v.add(m.mult(e*x)).mult(f));a.setLocationAtPoint(a.renderWorldCopies?b.wrap():b,h)}n._fireMoveEvents(r)},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(r)},e.delayEndEvents):n._afterEase(r)},e),this},r.prototype._prepareEase=function(e,r){this._moving=!0,r||this.fire(new t.Event(\"movestart\",e)),this._zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e){var r=this._zooming,n=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,r&&this.fire(new t.Event(\"zoomend\",e)),n&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))},r.prototype.flyTo=function(e,r){var n=this;if(t.browser.prefersReducedMotion){var a=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(a,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=\"zoom\"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):o,u=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,f=i.zoomScale(c-o),p=i.centerPoint.add(t.Point.convert(e.offset)),d=i.pointLocation(p),g=t.LngLat.convert(e.center||d);this._normalizeCenter(g);var v=i.project(d),m=i.project(g).sub(v),y=e.curve,x=Math.max(i.width,i.height),b=x/f,_=m.mag();if(\"minZoom\"in e){var w=t.clamp(Math.min(e.minZoom,o,c),i.minZoom,i.maxZoom),k=x/i.zoomScale(w-o);y=Math.sqrt(k/_*2)}var T=y*y;function M(t){var e=(b*b-x*x+(t?-1:1)*T*T*_*_)/(2*(t?b:x)*T*_);return Math.log(Math.sqrt(e*e+1)-e)}function A(t){return(Math.exp(t)-Math.exp(-t))/2}function S(t){return(Math.exp(t)+Math.exp(-t))/2}var E=M(0),L=function(t){return S(E)/S(E+y*t)},C=function(t){return x*((S(E)*(A(e=E+y*t)/S(e))-A(E))/T)/_;var e},P=(M(1)-E)/y;if(Math.abs(_)<1e-6||!isFinite(P)){if(Math.abs(x-b)<1e-6)return this.easeTo(e,r);var O=b<x?-1:1;P=Math.abs(Math.log(b/x))/y,C=function(){return 0},L=function(t){return Math.exp(O*y*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var z=\"screenSpeed\"in e?+e.screenSpeed/y:+e.speed;e.duration=1e3*P/z}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._prepareEase(r,!1),this._ease(function(e){var a=e*P,f=1/L(a);i.zoom=1===e?c:o+i.scaleZoom(f),n._rotating&&(i.bearing=t.number(s,u,e)),n._pitching&&(i.pitch=t.number(l,h,e));var d=1===e?g:i.unproject(v.add(m.mult(C(a))).mult(f));i.setLocationAtPoint(i.renderWorldCopies?d.wrap():d,p),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ln=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ln.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ln.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ln.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0},Ln.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce(function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t},\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},Ln.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ln.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map(function(t){return\"string\"!=typeof t?\"\":t})):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var a=r[n];if(a.used){var i=a.getSource();i.attribution&&t.indexOf(i.attribution)<0&&t.push(i.attribution)}}t.sort(function(t,e){return t.length-e.length});var o=(t=t.filter(function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0})).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ln.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Cn=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Cn.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",\"Mapbox logo\"),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Cn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Cn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Cn.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Cn.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Cn.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Pn=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Pn.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Pn.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var a=n[r];if(a.id===t)return void(a.cancelled=!0)}},Pn.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Pn.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var On=t.window.HTMLImageElement,zn=t.window.HTMLElement,In={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,clickTolerance:3,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Dn=function(n){function a(e){var a=this;if(null!=(e=t.extend({},In,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than minZoom\");var i=new un(e.minZoom,e.maxZoom,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Pn,this._controls=[],this._mapId=t.uniqueId(),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof zn))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",function(){return a._update(!1)}),this.on(\"moveend\",function(){return a._update(!1)}),this.on(\"zoom\",function(){return a._update(!0)}),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),function(t,e){var n=t.getCanvasContainer(),a=null,i=!1,o=null;for(var s in Sn)t[s]=new Sn[s](t,e),e.interactive&&e[s]&&t[s].enable(e[s]);r.addEventListener(n,\"mouseout\",function(e){t.fire(new pn(\"mouseout\",t,e))}),r.addEventListener(n,\"mousedown\",function(a){i=!0,o=r.mousePos(n,a);var s=new pn(\"mousedown\",t,a);t.fire(s),s.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(a),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(a),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(a))}),r.addEventListener(n,\"mouseup\",function(e){var r=t.dragRotate.isActive();a&&!r&&t.fire(new pn(\"contextmenu\",t,a)),a=null,i=!1,t.fire(new pn(\"mouseup\",t,e))}),r.addEventListener(n,\"mousemove\",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn(\"mousemove\",t,e))}}),r.addEventListener(n,\"mouseover\",function(e){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new pn(\"mouseover\",t,e))}),r.addEventListener(n,\"touchstart\",function(r){var n=new dn(\"touchstart\",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(r),t.touchZoomRotate.onStart(r),t.doubleClickZoom.onTouchStart(n))},{passive:!1}),r.addEventListener(n,\"touchmove\",function(e){t.fire(new dn(\"touchmove\",t,e))},{passive:!1}),r.addEventListener(n,\"touchend\",function(e){t.fire(new dn(\"touchend\",t,e))}),r.addEventListener(n,\"touchcancel\",function(e){t.fire(new dn(\"touchcancel\",t,e))}),r.addEventListener(n,\"click\",function(a){var i=r.mousePos(n,a);(!o||i.equals(o)||i.dist(o)<e.clickTolerance)&&t.fire(new pn(\"click\",t,a))}),r.addEventListener(n,\"dblclick\",function(e){var r=new pn(\"dblclick\",t,e);t.fire(r),r.defaultPrevented||t.doubleClickZoom.onDblClick(r)}),r.addEventListener(n,\"contextmenu\",function(e){var r=t.dragRotate.isActive();i||r?i&&(a=e):t.fire(new pn(\"contextmenu\",t,e)),(t.dragRotate.isEnabled()||t.listens(\"contextmenu\"))&&e.preventDefault()}),r.addEventListener(n,\"wheel\",function(r){e.interactive&&t.stop();var n=new gn(\"wheel\",t,r);t.fire(n),n.defaultPrevented||t.scrollZoom.onWheel(r)},{passive:!1})}(this,e),this._hash=e.hash&&(new fn).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ln({customAttribution:e.customAttribution})),this.addControl(new Cn,e.logoPosition),this.on(\"style.load\",function(){a.transform.unmodified&&a.jumpTo(a.style.stylesheet)}),this.on(\"data\",function(e){a._update(\"style\"===e.dataType),a.fire(new t.Event(e.dataType+\"data\",e))}),this.on(\"dataloading\",function(e){a.fire(new t.Event(e.dataType+\"dataloading\",e))})}n&&(a.__proto__=n),a.prototype=Object.create(n&&n.prototype),a.prototype.constructor=a;var i={showTileBoundaries:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return a.prototype._getMapId=function(){return this._mapId},a.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var a=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?a.insertBefore(n,a.firstChild):a.appendChild(n),this},a.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},a.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],a=r[1];return this._resizeCanvas(n,a),this.transform.resize(n,a),this.painter.resize(n,a),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e)).fire(new t.Event(\"resize\",e)).fire(new t.Event(\"moveend\",e)),this},a.prototype.getBounds=function(){return this.transform.getBounds()},a.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},a.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},a.prototype.setMinZoom=function(t){if((t=null==t?0:t)>=0&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between 0 and the current maxZoom, inclusive\")},a.prototype.getMinZoom=function(){return this.transform.minZoom},a.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},a.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},a.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},a.prototype.getMaxZoom=function(){return this.transform.maxZoom},a.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},a.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},a.prototype.isMoving=function(){return this._moving||this.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},a.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isZooming()},a.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},a.prototype.on=function(t,e,r){var a=this;if(void 0===r)return n.prototype.on.call(this,t,e);var i=function(){var n;if(\"mouseenter\"===t||\"mouseover\"===t){var i=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?i||(i=!0,r.call(a,new pn(t,a,n.originalEvent,{features:o}))):i=!1},mouseout:function(){i=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(a.getLayer(e)?a.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(a,new pn(t,a,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(a,new pn(t,a,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=a.getLayer(e)?a.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(a,t),delete t.features)},n)}}();for(var o in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(o,i.delegates[o]);return this},a.prototype.off=function(t,e,r){if(void 0===r)return n.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var a=this._delegatedListeners[t],i=0;i<a.length;i++){var o=a[i];if(o.layer===e&&o.listener===r){for(var s in o.delegates)this.off(s,o.delegates[s]);return a.splice(i,1),this}}return this},a.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var a=t.Point.convert(e[0]),i=t.Point.convert(e[1]);n=[a,new t.Point(i.x,a.y),i,new t.Point(a.x,i.y),a]}return this.style.queryRenderedFeatures(n,r,this.transform)},a.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},a.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},a.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Re(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},a.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var a=this._requestManager.normalizeStyleURL(e),i=this._requestManager.transformRequest(a,t.ResourceType.Style);t.getJSON(i,function(e,a){e?n.fire(new t.ErrorEvent(e)):a&&n._updateDiff(a,r)})}else\"object\"==typeof e&&this._updateDiff(e,r)},a.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},a.prototype.getStyle=function(){if(this.style)return this.style.serialize()},a.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},a.prototype.addSource=function(t,e){return this.style.addSource(t,e),this._update(!0)},a.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},a.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var a=r[n];if(\"loaded\"!==a.state&&\"errored\"!==a.state)return!1}}return!0},a.prototype.addSourceType=function(t,e,r){return this.style.addSourceType(t,e,r)},a.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},a.prototype.getSource=function(t){return this.style.getSource(t)},a.prototype.addImage=function(e,r,n){void 0===n&&(n={});var a=n.pixelRatio;void 0===a&&(a=1);var i=n.sdf;if(void 0===i&&(i=!1),r instanceof On){var o=t.browser.getImageData(r),s=o.width,l=o.height,c=o.data;this.style.addImage(e,{data:new t.RGBAImage({width:s,height:l},c),pixelRatio:a,sdf:i,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var u=r.width,h=r.height,f=r.data,p=r;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},new Uint8Array(f)),pixelRatio:a,sdf:i,version:0,userImage:p}),p.onAdd&&p.onAdd(this,e)}},a.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var a=r instanceof On?t.browser.getImageData(r):r,i=a.width,o=a.height,s=a.data;if(void 0===i||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(i!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof On);n.data.replace(s,l),this.style.updateImage(e,n)},a.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},a.prototype.removeImage=function(t){this.style.removeImage(t)},a.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},a.prototype.listImages=function(){return this.style.listImages()},a.prototype.addLayer=function(t,e){return this.style.addLayer(t,e),this._update(!0)},a.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},a.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},a.prototype.getLayer=function(t){return this.style.getLayer(t)},a.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},a.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},a.prototype.getFilter=function(t){return this.style.getFilter(t)},a.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},a.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},a.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},a.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},a.prototype.setLight=function(t,e){return void 0===e&&(e={}),this.style.setLight(t,e),this._update(!0)},a.prototype.getLight=function(){return this.style.getLight()},a.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},a.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},a.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},a.prototype.getContainer=function(){return this._container},a.prototype.getCanvasContainer=function(){return this._canvasContainer},a.prototype.getCanvas=function(){return this._canvas},a.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},a.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},a.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.style.position=\"absolute\",this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var a=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),i=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach(function(t){i[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,a)})},a.prototype._resizeCanvas=function(e,r){var n=t.window.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},a.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new on(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},a.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},a.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},a.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},a.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},a.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},a.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},a.prototype._render=function(){this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var r=this.transform.zoom,n=t.browser.now();this.style.zoomHistory.update(r,n);var a=new t.EvaluationParameters(r,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),i=a.crossFadingFactor();1===i&&i===this._crossFadingFactor||(e=!0,this._crossFadingFactor=i),this.style.update(a)}return this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),this},a.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Rn(this._canvasContainer),Rn(this._controlContainer),Rn(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this.fire(new t.Event(\"remove\"))},a.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(){e._frame=null,e._render()}))},a.prototype._onWindowOnline=function(){this._update()},a.prototype._onWindowResize=function(){this._trackResize&&this.resize()._update()},i.showTileBoundaries.get=function(){return!!this._showTileBoundaries},i.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},i.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},i.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},i.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},i.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},i.repaint.get=function(){return!!this._repaint},i.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},i.vertices.get=function(){return!!this._vertices},i.vertices.set=function(t){this._vertices=t,this._update()},a.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},i.version.get=function(){return t.version},Object.defineProperties(a.prototype,i),a}(En);function Rn(t){t.parentNode&&t.parentNode.removeChild(t)}var Fn={showCompass:!0,showZoom:!0,visualizePitch:!1},Bn=function(e){var n=this;this.options=t.extend({},Fn,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this.options.showZoom&&(t.bindAll([\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in\",\"Zoom in\",function(){return n._map.zoomIn()}),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out\",\"Zoom out\",function(){return n._map.zoomOut()})),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-icon mapboxgl-ctrl-compass\",\"Reset bearing to north\",function(){n.options.visualizePitch?n._map.resetNorthPitch():n._map.resetNorth()}),this._compassArrow=r.create(\"span\",\"mapboxgl-ctrl-compass-arrow\",this._compass))};function Nn(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var a=new t.LngLat(e.lng-360,e.lat),i=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(a).distSqr(r)<o?e=a:n.locationPoint(i).distSqr(r)<o&&(e=i)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Bn.prototype._updateZoomButtons=function(){var t=this._map.getZoom();t===this._map.getMaxZoom()?this._zoomInButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomInButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\"),t===this._map.getMinZoom()?this._zoomOutButton.classList.add(\"mapboxgl-ctrl-icon-disabled\"):this._zoomOutButton.classList.remove(\"mapboxgl-ctrl-icon-disabled\")},Bn.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassArrow.style.transform=t},Bn.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new xn(t,{button:\"left\",element:this._compass}),r.addEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.addEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.enable()),this._container},Bn.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),r.removeEventListener(this._compass,\"mousedown\",this._handler.onMouseDown),r.removeEventListener(this._compass,\"touchstart\",this._handler.onMouseDown,{passive:!1}),this._handler.disable(),delete this._handler),delete this._map},Bn.prototype._createButton=function(t,e,n){var a=r.create(\"button\",t,this._container);return a.type=\"button\",a.title=e,a.setAttribute(\"aria-label\",e),a.addEventListener(\"click\",n),a};var jn={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Vn(t,e,r){var n=t.classList;for(var a in jn)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+a);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Un,qn=function(e){function n(n,a){if(e.call(this),(n instanceof t.window.HTMLElement||a)&&(n=t.extend({element:n},a)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\");var i=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");i.setAttributeNS(null,\"display\",\"block\"),i.setAttributeNS(null,\"height\",\"41px\"),i.setAttributeNS(null,\"width\",\"27px\"),i.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var 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b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),y.appendChild(x),y.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(g),s.appendChild(m),s.appendChild(y),i.appendChild(s),this._element.appendChild(i),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",function(t){t.preventDefault()}),Vn(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat)}return this},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=Nn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,jn[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px)\"))},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n}(t.Evented),Hn={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0},Gn=function(e){function n(r){e.call(this),this.options=t.extend({},Hn,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Un?n(Un):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then(function(t){Un=\"denied\"!==t.state,n(Un)}):(Un=!!t.window.navigator.geolocation,n(Un)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),r.remove(this._container),this._map=void 0},n.prototype._onSuccess=function(e){if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,a=this._map.getBearing(),i=t.extend({bearing:a},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),i,{geolocateSource:!0})},n.prototype._updateMarker=function(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove()},n.prototype._onError=function(e){if(this.options.trackUserLocation)if(1===e.code)this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),void 0!==this._geolocationWatchID&&this._clearWatch();else switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;!1!==e?(this._container.addEventListener(\"contextmenu\",function(t){return t.preventDefault()}),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate\",this._container),this._geolocateButton.type=\"button\",this._geolocateButton.setAttribute(\"aria-label\",\"Geolocate\"),this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new qn(this._dotElement),this.options.trackUserLocation&&(this._watchState=\"OFF\")),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",function(e){e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))})):t.warnOnce(\"Geolocation support is not available, the GeolocateControl will not be visible.\")},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions))}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Yn={maxWidth:100,unit:\"metric\"},Wn=function(e){this.options=t.extend({},Yn,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Xn(t,e,r){var n,a,i,o,s,l,c=r&&r.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),a=t.unproject([c,u]),i=Math.PI/180,o=n.lat*i,s=a.lat*i,l=Math.sin(o)*Math.sin(s)+Math.cos(o)*Math.cos(s)*Math.cos((a.lng-n.lng)*i),6371e3*Math.acos(Math.min(l,1)));if(r&&\"imperial\"===r.unit){var f=3.2808*h;f>5280?Zn(e,c,f/5280,\"mi\"):Zn(e,c,f,\"ft\")}else r&&\"nautical\"===r.unit?Zn(e,c,h/1852,\"nm\"):Zn(e,c,h,\"m\")}function Zn(t,e,r,n){var a,i,o,s=(a=r,(i=Math.pow(10,(\"\"+Math.floor(a)).length-1))*(o=(o=a/i)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;\"m\"===n&&s>=1e3&&(s/=1e3,n=\"km\"),t.style.width=e*l+\"px\",t.innerHTML=s+n}Wn.prototype.getDefaultPosition=function(){return\"bottom-left\"},Wn.prototype._onMove=function(){Xn(this._map,this._container,this.options)},Wn.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Wn.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Wn.prototype.setUnit=function(t){this.options.unit=t,Xn(this._map,this._container,this.options)};var Jn=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\"),this._className=\"mapboxgl-ctrl\"};Jn.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",this._className+\" mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Jn.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Jn.prototype._setupUI=function(){(this._fullscreenButton=r.create(\"button\",this._className+\"-icon \"+this._className+\"-fullscreen\",this._controlContainer)).type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Jn.prototype._updateTitle=function(){var t=this._isFullscreen()?\"Exit fullscreen\":\"Enter fullscreen\";this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Jn.prototype._isFullscreen=function(){return this._fullscreen},Jn.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(this._className+\"-shrink\"),this._fullscreenButton.classList.toggle(this._className+\"-fullscreen\"),this._updateTitle())},Jn.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Kn={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Qn=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Kn),r),t.bindAll([\"_update\",\"_onClickClose\",\"remove\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){var r=this;return this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClickClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",function(t){r._update(t.point)}),this._map.on(\"mouseup\",function(t){r._update(t.point)}),this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"click\",this._onClickClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\"),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\"),this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){var t=this;return this._trackPointer=!0,this._pos=null,this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",function(e){t._update(e.point)}),this._map.on(\"drag\",function(e){t._update(e.point)}),this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),a=t.window.document.createElement(\"body\");for(a.innerHTML=e;r=a.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClickClose))},n.prototype._update=function(e){var n=this,a=this._lngLat||this._trackPointer;if(this._map&&a&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach(function(t){return n._container.classList.add(t)})),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Nn(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var i=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var a=t.Point.convert(r);return{center:a,top:a,\"top-left\":a,\"top-right\":a,bottom:a,\"bottom-left\":a,\"bottom-right\":a,left:a,right:a}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=i.y+s.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<c/2?l.push(\"left\"):i.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var h=i.add(s[o]).round();r.setTransform(this._container,jn[o]+\" translate(\"+h.x+\"px,\"+h.y+\"px)\"),Vn(this._container,o,\"popup\")}},n.prototype._onClickClose=function(){this.remove()},n}(t.Evented),$n={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,Map:Dn,NavigationControl:Bn,GeolocateControl:Gn,AttributionControl:Ln,ScaleControl:Wn,FullscreenControl:Jn,Popup:Qn,Marker:qn,Style:Re,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return It.workerCount},set workerCount(t){It.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return $n}),r},\"object\"==typeof r&&\"undefined\"!=typeof 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n=t(\"./normalize\"),a=t(\"gl-mat4/create\"),i=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=a(),h=a(),f=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,a){t[0]=e[0]*n+r[0]*a,t[1]=e[1]*n+r[1]*a,t[2]=e[2]*n+r[2]*a}e.exports=function(t,e,r,a,v,m){if(e||(e=[0,0,0]),r||(r=[0,0,0]),a||(a=[0,0,0]),v||(v=[0,0,0,1]),m||(m=[0,0,0,1]),!n(u,t))return!1;if(i(h,u),h[3]=0,h[7]=0,h[11]=0,h[15]=1,Math.abs(o(h)<1e-8))return!1;var y,x,b,_,w,k,T,M=u[3],A=u[7],S=u[11],E=u[12],L=u[13],C=u[14],P=u[15];if(0!==M||0!==A||0!==S){if(f[0]=M,f[1]=A,f[2]=S,f[3]=P,!s(h,h))return!1;l(h,h),y=v,b=h,_=(x=f)[0],w=x[1],k=x[2],T=x[3],y[0]=b[0]*_+b[4]*w+b[8]*k+b[12]*T,y[1]=b[1]*_+b[5]*w+b[9]*k+b[13]*T,y[2]=b[2]*_+b[6]*w+b[10]*k+b[14]*T,y[3]=b[3]*_+b[7]*w+b[11]*k+b[15]*T}else v[0]=v[1]=v[2]=0,v[3]=1;if(e[0]=E,e[1]=L,e[2]=C,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),a[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-a[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),a[0]/=r[1],a[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-a[1]),a[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-a[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),a[1]/=r[2],a[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var O=0;O<3;O++)r[O]*=-1,p[O][0]*=-1,p[O][1]*=-1,p[O][2]*=-1;return m[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),m[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),m[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),m[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(m[0]=-m[0]),p[0][2]>p[2][0]&&(m[1]=-m[1]),p[1][0]>p[0][1]&&(m[2]=-m[2]),!0}},{\"./normalize\":430,\"gl-mat4/clone\":262,\"gl-mat4/create\":263,\"gl-mat4/determinant\":264,\"gl-mat4/invert\":268,\"gl-mat4/transpose\":279,\"gl-vec3/cross\":336,\"gl-vec3/dot\":341,\"gl-vec3/length\":351,\"gl-vec3/normalize\":358}],430:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,a=0;a<16;a++)t[a]=e[a]*n;return!0}},{}],431:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),a=t(\"mat4-recompose\"),i=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=h(),c=h(),u=h();function h(){return{translate:f(),scale:f(1),skew:f(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function f(t){return[t||0,t||0,t||0]}e.exports=function(t,e,r,h){if(0===o(e)||0===o(r))return!1;var f=i(e,l.translate,l.scale,l.skew,l.perspective,l.quaternion),p=i(r,c.translate,c.scale,c.skew,c.perspective,c.quaternion);return!(!f||!p||(n(u.translate,l.translate,c.translate,h),n(u.skew,l.skew,c.skew,h),n(u.scale,l.scale,c.scale,h),n(u.perspective,l.perspective,c.perspective,h),s(u.quaternion,l.quaternion,c.quaternion,h),a(t,u.translate,u.scale,u.skew,u.perspective,u.quaternion),0))}},{\"gl-mat4/determinant\":264,\"gl-vec3/lerp\":352,\"mat4-decompose\":429,\"mat4-recompose\":432,\"quat-slerp\":484}],432:[function(t,e,r){var n={identity:t(\"gl-mat4/identity\"),translate:t(\"gl-mat4/translate\"),multiply:t(\"gl-mat4/multiply\"),create:t(\"gl-mat4/create\"),scale:t(\"gl-mat4/scale\"),fromRotationTranslation:t(\"gl-mat4/fromRotationTranslation\")},a=(n.create(),n.create());e.exports=function(t,e,r,i,o,s){return n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(a),0!==i[2]&&(a[9]=i[2],n.multiply(t,t,a)),0!==i[1]&&(a[9]=0,a[8]=i[1],n.multiply(t,t,a)),0!==i[0]&&(a[8]=0,a[4]=i[0],n.multiply(t,t,a)),n.scale(t,t,r),t}},{\"gl-mat4/create\":263,\"gl-mat4/fromRotationTranslation\":266,\"gl-mat4/identity\":267,\"gl-mat4/multiply\":270,\"gl-mat4/scale\":277,\"gl-mat4/translate\":278}],433:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],434:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),a=t(\"mat4-interpolate\"),i=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),h=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),f=[0,0,0];function p(t){this._components=t.slice(),this._time=[0],this.prevMatrix=t.slice(),this.nextMatrix=t.slice(),this.computedMatrix=t.slice(),this.computedInverse=t.slice(),this.computedEye=[0,0,0],this.computedUp=[0,0,0],this.computedCenter=[0,0,0],this.computedRadius=[0],this._limits=[-1/0,1/0]}e.exports=function(t){return new p((t=t||{}).matrix||[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1])};var d=p.prototype;d.recalcMatrix=function(t){var e=this._time,r=n.le(e,t),o=this.computedMatrix;if(!(r<0)){var s=this._components;if(r===e.length-1)for(var l=16*r,c=0;c<16;++c)o[c]=s[l++];else{var u=e[r+1]-e[r],f=(l=16*r,this.prevMatrix),p=!0;for(c=0;c<16;++c)f[c]=s[l++];var d=this.nextMatrix;for(c=0;c<16;++c)d[c]=s[l++],p=p&&f[c]===d[c];if(u<1e-6||p)for(c=0;c<16;++c)o[c]=f[c];else a(o,f,d,(t-e[r])/u)}var g=this.computedUp;g[0]=o[1],g[1]=o[5],g[2]=o[9],h(g,g);var v=this.computedInverse;i(v,o);var m=this.computedEye,y=v[15];m[0]=v[12]/y,m[1]=v[13]/y,m[2]=v[14]/y;var x=this.computedCenter,b=Math.exp(this.computedRadius[0]);for(c=0;c<3;++c)x[c]=m[c]-o[2+4*c]*b}},d.idle=function(t){if(!(t<this.lastT())){for(var e=this._components,r=e.length-16,n=0;n<16;++n)e.push(e[r++]);this._time.push(t)}},d.flush=function(t){var e=n.gt(this._time,t)-2;e<0||(this._time.splice(0,e),this._components.splice(0,16*e))},d.lastT=function(){return this._time[this._time.length-1]},d.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||f,n=n||this.computedUp,this.setMatrix(t,c(this.computedMatrix,e,r,n));for(var a=0,i=0;i<3;++i)a+=Math.pow(r[i]-e[i],2);a=Math.log(Math.sqrt(a)),this.computedRadius[0]=a},d.rotate=function(t,e,r,n){this.recalcMatrix(t);var a=this.computedInverse;e&&s(a,a,e),r&&o(a,a,r),n&&l(a,a,n),this.setMatrix(t,i(this.computedMatrix,a))};var g=[0,0,0];d.pan=function(t,e,r,n){g[0]=-(e||0),g[1]=-(r||0),g[2]=-(n||0),this.recalcMatrix(t);var 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n=t(\"color-normalize\"),a=t(\"array-bounds\"),i=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),h=t(\"to-float32\"),f=h.float32,p=h.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},a=t(i({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(i({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=a}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:a,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach(function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold?t.shaders.rect(e):\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))}),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach(function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth 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r}(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance\")}()}function a(t){return function(t){if(Array.isArray(t)){for(var e=0,r=new Array(t.length);e<t.length;e++)r[e]=t[e];return r}}(t)||function(t){if(Symbol.iterator in Object(t)||\"[object Arguments]\"===Object.prototype.toString.call(t))return Array.from(t)}(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance\")}()}var i=t(\"color-normalize\"),o=t(\"array-bounds\"),s=t(\"color-id\"),l=t(\"point-cluster\"),c=t(\"object-assign\"),u=t(\"glslify\"),h=t(\"pick-by-alias\"),f=t(\"update-diff\"),p=t(\"flatten-vertex-data\"),d=t(\"is-iexplorer\"),g=t(\"to-float32\"),v=t(\"parse-rect\"),m=y;function y(t,e){var r=this;if(!(this instanceof y))return new y(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,a=(t=e.regl)._gl,i=[];this.tooManyColors=d,n=t.texture({data:new 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{\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pixelRatio;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=c({},o);l.frag=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=u([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio;\\nuniform sampler2D palette;\\nuniform vec2 paletteSize;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(palette,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0, 1);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),d&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}y.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},y.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},y.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var a=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var i=0;i<r.length;i++)this.drawItem(i,r[i]);else a.forEach(function(e,r){t.drawItem(r)});return this},y.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var i=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&i.push.apply(i,a(this.getMarkerDrawOptions(o,n,e)));i.length&&this.drawMarker(i)}},y.prototype.getMarkerDrawOptions=function(t,e,r){var a=e.range,i=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;this.regl;if(!i)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=i.range(a,{lod:!0,px:[(a[2]-a[0])/o.width,(a[3]-a[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),g=0;g<r.length;g++){var v=r[g];d[v]=p?p[v]:1}l.subdata(d)}for(var m=f.length;m--;){var y=n(f[m],2),x=y[0],b=y[1];h.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return h},y.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var a=this.groups,i=this.gl,s=this.regl,u=this.maxSize,d=this.maxColors,m=this.palette;this.groups=a=r.map(function(e,r){var n=a[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data 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t.x.length?e.xAttr={buffer:s.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:s.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=p(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?o(t,2):null;if(r.range||e.range||(delete e.range,r.range=h),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||u>n)?e.tree=l(t,{bounds:h}):n&&n.length&&(e.tree=n),e.tree){var f={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(f):e.elements=s.elements(f)}return a({data:g.float(t),usage:\"dynamic\"}),i({data:g.fract(t),usage:\"dynamic\"}),c({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var a=r.activation;if(a.forEach(function(t){return 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this.groups.forEach(function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach(function(t){return t&&t.destroy&&t.destroy()}),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()}),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach(function(t){return t&&t.destroy&&t.destroy()}),this};var x=t(\"object-assign\");e.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return x(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"array-bounds\":68,\"color-id\":120,\"color-normalize\":122,\"flatten-vertex-data\":230,glslify:410,\"is-iexplorer\":420,\"object-assign\":455,\"parse-rect\":460,\"pick-by-alias\":466,\"point-cluster\":470,\"to-float32\":536,\"update-diff\":547}],499:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"pick-by-alias\"),i=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function h(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function f(t,e,r){var n,a,i,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],a=s[3]):s.length?(n=s[0],a=s[1]):(s.x,n=s.y,s.x+s.width,a=s.y+s.height),l.length>2?(i=l[0],o=l[2],l[1],l[3]):l.length?(i=l[0],o=l[1]):(i=l.x,l.y,o=l.x+l.width,l.y+l.height),[i,n,o,a]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return 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f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),g=Math.max(f,p,d);f===g?(s=s<0?-1:1,l=h=0):d===g?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var v=c(s,l,h);s/=v,l/=v,h/=v}var m,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*h,k=c(x-=s*w,b-=l*w,_-=h*w),T=l*(_/=k)-h*(b/=k),M=h*(x/=k)-s*_,A=s*b-l*x,S=c(T,M,A);if(T/=S,M/=S,A/=S,this.center.jump(t,H,G,Y),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,b,_),2===i){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,O=E*T+L*M+C*A;m=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(O,P)}else{var z=e[2],I=e[6],D=e[10],R=z*s+I*l+D*h,F=z*x+I*b+D*_,B=z*T+I*M+D*A;m=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,m),this.recalcMatrix(t);var N=e[2],j=e[6],V=e[10],U=this.computedMatrix;a(U,e);var q=U[15],H=U[12]/q,G=U[13]/q,Y=U[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-V*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var a=(n=n||this.computedUp)[0],i=n[1],o=n[2],s=c(a,i,o);if(!(s<1e-6)){a/=s,i/=s,o/=s;var l=e[0]-r[0],h=e[1]-r[1],f=e[2]-r[2],p=c(l,h,f);if(!(p<1e-6)){l/=p,h/=p,f/=p;var d=this.computedRight,g=d[0],v=d[1],m=d[2],y=a*g+i*v+o*m,x=c(g-=y*a,v-=y*i,m-=y*o);if(!(x<.01&&(x=c(g=i*f-o*h,v=o*l-a*f,m=a*h-i*l))<1e-6)){g/=x,v/=x,m/=x,this.up.set(t,a,i,o),this.right.set(t,g,v,m),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=i*m-o*v,_=o*g-a*m,w=a*v-i*g,k=c(b,_,w),T=a*l+i*h+o*f,M=g*l+v*h+m*f,A=(b/=k)*l+(_/=k)*h+(w/=k)*f,S=Math.asin(u(T)),E=Math.atan2(A,M),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var O=Math.abs(C+2*Math.PI-E),z=Math.abs(C-E),I=Math.abs(C-2*Math.PI-E);O<z&&(C+=2*Math.PI),I<z&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":229,\"gl-mat4/invert\":268,\"gl-mat4/rotate\":273,\"gl-vec3/cross\":336,\"gl-vec3/dot\":341,\"gl-vec3/normalize\":358}],541:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var a=t*e,i=n*t,o=i-(i-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,h=s*u-(a-o*c-s*c-o*u);if(r)return r[0]=h,r[1]=a,r;return[h,a]};var n=+(Math.pow(2,27)+1)},{}],542:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,a=n-t,i=e-a,o=t-(n-a);if(r)return r[0]=o+i,r[1]=n,r;return[o+i,n]}},{}],543:[function(t,e,r){(function(e,n){\"use strict\";var 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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.coptic=i},{\"../main\":569,\"object-assign\":455}],557:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((a.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year()+(a.year()<0?1:0),e=a.month(),(r=a.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=i},{\"../main\":569,\"object-assign\":455}],558:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return(t=a.year())<0&&t++,a.day()+30*(a.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,a=e-30*(n-1)+1;return this.newDate(r,n,a)}}),n.calendars.ethiopian=i},{\"../main\":569,\"object-assign\":455}],559:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)?30:8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(a)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(a)%10-3]}},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t<=0?t+1:t,o=this.jdEpoch+this._delay1(i)+this._delay2(i)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=i},{\"../main\":569,\"object-assign\":455}],560:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-kham\\u012bs\",\"Yawm al-jum'a\",\"Yawm 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=i},{\"../main\":569,\"object-assign\":455}],561:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);return t=a.year(),e=a.month(),r=a.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),a=Math.floor((e-n)/30.6001),i=a-Math.floor(a<14?1:13),o=r-Math.floor(i>2?4716:4715),s=e-n-Math.floor(30.6001*a);return o<=0&&o--,this.newDate(o,i,s)}}),n.calendars.julian=i},{\"../main\":569,\"object-assign\":455}],562:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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n.baseCalendar;var o=n.instance(\"gregorian\");a(i.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidMonth);(t=a.year())<0&&t++;for(var i=a.day(),s=1;s<a.month();s++)i+=this.daysPerMonth[s-1];return i+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=i},{\"../main\":569,\"object-assign\":455}],564:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=i.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],i.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),a=e.dayOfYear(),i=r+56;this._createMissingCalendarData(i);for(var o=9,s=this.NEPALI_CALENDAR_DATA[i][0],l=this.NEPALI_CALENDAR_DATA[i][o]-s+1;a>l;)++o>12&&(o=1,i++),l+=this.NEPALI_CALENDAR_DATA[i][o];var c=this.NEPALI_CALENDAR_DATA[i][o]-(l-a);return this.newDate(i,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)\"undefined\"==typeof this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2000:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29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n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"Persian\",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Persian\",epochs:[\"BP\",\"AP\"],monthNames:[\"Farvardin\",\"Ordibehesht\",\"Khordad\",\"Tir\",\"Mordad\",\"Shahrivar\",\"Mehr\",\"Aban\",\"Azar\",\"Day\",\"Bahman\",\"Esfand\"],monthNamesShort:[\"Far\",\"Ord\",\"Kho\",\"Tir\",\"Mor\",\"Sha\",\"Meh\",\"Aba\",\"Aza\",\"Day\",\"Bah\",\"Esf\"],dayNames:[\"Yekshambe\",\"Doshambe\",\"Seshambe\",\"Ch\\xe6harshambe\",\"Panjshambe\",\"Jom'e\",\"Shambe\"],dayNamesShort:[\"Yek\",\"Do\",\"Se\",\"Ch\\xe6\",\"Panj\",\"Jom\",\"Sha\"],dayNamesMin:[\"Ye\",\"Do\",\"Se\",\"Ch\",\"Pa\",\"Jo\",\"Sh\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=a.year(),e=a.month(),r=a.day();var i=t-(t>=0?474:473),s=474+o(i,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(i/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),a=2820;if(1029982!==n){var i=Math.floor(n/366),s=o(n,366);a=Math.floor((2134*i+2816*s+2815)/1028522)+i+1}var l=a+2820*r+474;l=l<=0?l-1:l;var c=t-this.toJD(l,1,1)+1,u=c<=186?Math.ceil(c/31):Math.ceil((c-6)/30),h=t-this.toJD(l,u,1)+1;return this.newDate(l,u,h)}}),n.calendars.persian=i,n.calendars.jalali=i},{\"../main\":569,\"object-assign\":455}],566:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Taiwan\",jdEpoch:2419402.5,yearsOffset:1911,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Taiwan\",epochs:[\"BROC\",\"ROC\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:1,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":569,\"object-assign\":455}],567:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\"),i=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new n.baseCalendar,a(o.prototype,{name:\"Thai\",jdEpoch:1523098.5,yearsOffset:543,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Thai\",epochs:[\"BBE\",\"BE\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(e.year());return i.leapYear(t)},weekOfYear:function(t,e,r){var a=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(a.year());return i.weekOfYear(t,a.month(),a.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(a.year());return i.toJD(t,a.month(),a.day())},fromJD:function(t){var e=i.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},{\"../main\":569,\"object-assign\":455}],568:[function(t,e,r){var n=t(\"../main\"),a=t(\"object-assign\");function i(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}i.prototype=new n.baseCalendar,a(i.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,a=0,i=0;i<o.length;i++){if(o[i]>r)return o[a]-o[a-1];a++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var a=this._validate(t,e,r,n.local.invalidDate),i=12*(a.year()-1)+a.month()-15292;return a.day()+o[i-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var a=r+15292,i=Math.floor((a-1)/12),s=i+1,l=a-12*i,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var a=n.baseCalendar.prototype.isValid.apply(this,arguments);return a&&(a=(t=null!=t.year?t.year:t)>=1276&&t<=1500),a},_validate:function(t,e,r,a){var i=n.baseCalendar.prototype._validate.apply(this,arguments);if(i.year<1276||i.year>1500)throw a.replace(/\\{0\\}/,this.local.name);return i}}),n.calendars.ummalqura=i;var 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n=t(\"object-assign\");function a(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function i(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(a.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,a){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,a):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,function(e){return t[e]})}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",a=0;r>0;){var i=r%10;n=(0===i?\"\":t[i]+e[a])+n,a++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(i.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new i(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),a=t.calendar().fromJD(n);return this._validateLevel--,[a.year(),a.month(),a.day()]}try{var i=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);a=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(i,o)&&(o=this.newDate(i,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(i)),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)i--,o+=t.monthsInYear(i);for(var e=t.monthsInYear(i);o>e-1+t.minMonth;)i++,o-=e,e=t.monthsInYear(i)}(this),a=Math.min(a,this.daysInMonth(i,this.fromMonthOfYear(i,o))));var s=[i,this.fromMonthOfYear(i,o),a];return this._validateLevel--,s}catch(t){throw 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l,c,u=t._fullLayout.annotations,h=e._id.charAt(0),f=0;f<u.length;f++)l=u[f],c=\"annotations[\"+f+\"].\",l[h+\"ref\"]===e._id&&p(h),l[\"a\"+h+\"ref\"]===e._id&&p(\"a\"+h);function p(t){var r=l[t],s=null;s=o?a(r,e.range):Math.pow(10,r),n(s)||(s=null),i(c+t,s)}}},{\"../../lib/to_log_range\":743,\"fast-isnumeric\":228}],579:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function i(r,a){return n.coerce(t,e,s,r,a)}var l=i(\"visible\"),c=i(\"clicktoshow\");if(l||c){o(t,e,r,i);for(var u=e.showarrow,h=[\"x\",\"y\"],f=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=h[d],v=a.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==v)a.getFromId(p,v)._annIndices.push(e._index);if(a.coercePosition(e,p,i,v,g,.5),u){var m=\"a\"+g,y=a.coerceRef(t,e,p,m,\"pixel\");\"pixel\"!==y&&y!==v&&(y=e[m]=\"pixel\");var 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j=e.font,V=x._meta?o.templateString(e.text,x._meta):e.text,U=z.append(\"text\").classed(\"annotation-text\",!0).text(V);_.annotationText?U.call(h.makeEditable,{delegate:z,gd:t}).call(H).on(\"edit\",function(r){e.text=r,this.call(H),T(\"text\",r),s&&s.autorange&&k(s._name+\".autorange\",!0),v&&v.autorange&&k(v._name+\".autorange\",!0),a.call(\"_guiRelayout\",t,M())}):U.call(H)}else n.selectAll(\"#\"+A).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return i&&(n.subplotId=i),n}function H(r){return r.call(c.font,j).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,G),r}function G(){var r=U.selectAll(\"a\");1===r.size()&&r.text()===U.text()&&z.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(F.node());var n=z.select(\".annotation-text-math-group\"),u=!n.empty(),d=c.bBox((u?n:U).node()),m=d.width,y=d.height,w=e.width||m,O=e.height||y,D=Math.round(w+2*R),j=Math.round(O+2*R);function V(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var H=!1,G=[\"x\",\"y\"],Y=0;Y<G.length;Y++){var W,X,Z,J,K,Q=G[Y],$=e[Q+\"ref\"]||Q,tt=e[\"a\"+Q+\"ref\"],et={x:s,y:v}[Q],rt=(E+(\"x\"===Q?0:-90))*Math.PI/180,nt=D*Math.cos(rt),at=j*Math.sin(rt),it=Math.abs(nt)+Math.abs(at),ot=e[Q+\"anchor\"],st=e[Q+\"shift\"]*(\"x\"===Q?1:-1),lt=S[Q];if(et){var ct=et.r2fraction(e[Q]);(ct<0||ct>1)&&(tt===$?((ct=et.r2fraction(e[\"a\"+Q]))<0||ct>1)&&(H=!0):H=!0),W=et._offset+et.r2p(e[Q]),J=.5}else\"x\"===Q?(Z=e[Q],W=b.l+b.w*Z):(Z=1-e[Q],W=b.t+b.h*Z),J=e.showarrow?.5:Z;if(e.showarrow){lt.head=W;var ut=e[\"a\"+Q];K=nt*V(.5,e.xanchor)-at*V(.5,e.yanchor),tt===$?(lt.tail=et._offset+et.r2p(ut),X=K):(lt.tail=W+ut,X=K+ut),lt.text=lt.tail+K;var ht=x[\"x\"===Q?\"width\":\"height\"];if(\"paper\"===$&&(lt.head=o.constrain(lt.head,1,ht-1)),\"pixel\"===tt){var ft=-Math.max(lt.tail-3,lt.text),pt=Math.min(lt.tail+3,lt.text)-ht;ft>0?(lt.tail+=ft,lt.text+=ft):pt>0&&(lt.tail-=pt,lt.text-=pt)}lt.tail+=st,lt.head+=st}else X=K=it*V(J,ot),lt.text=W+K;lt.text+=st,K+=st,X+=st,e[\"_\"+Q+\"padplus\"]=it/2+X,e[\"_\"+Q+\"padminus\"]=it/2-X,e[\"_\"+Q+\"size\"]=it,e[\"_\"+Q+\"shift\"]=K}if(H)z.remove();else{var dt=0,gt=0;if(\"left\"!==e.align&&(dt=(w-m)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(gt=(O-y)*(\"middle\"===e.valign?.5:1)),u)n.select(\"svg\").attr({x:R+dt-1,y:R+gt}).call(c.setClipUrl,B?A:null,t);else{var vt=R+gt-d.top,mt=R+dt-d.left;U.call(h.positionText,mt,vt).call(c.setClipUrl,B?A:null,t)}N.select(\"rect\").call(c.setRect,R,R,w,O),F.call(c.setRect,I/2,I/2,D-I,j-I),z.call(c.setTranslate,Math.round(S.x.text-D/2),Math.round(S.y.text-j/2)),C.attr({transform:\"rotate(\"+E+\",\"+S.x.text+\",\"+S.y.text+\")\"});var yt,xt=function(r,n){L.selectAll(\".annotation-arrow-g\").remove();var u=S.x.head,h=S.y.head,f=S.x.tail+r,d=S.y.tail+n,m=S.x.text+r,y=S.y.text+n,x=o.rotationXYMatrix(E,m,y),w=o.apply2DTransform(x),A=o.apply2DTransform2(x),P=+F.attr(\"width\"),O=+F.attr(\"height\"),I=m-.5*P,D=I+P,R=y-.5*O,B=R+O,N=[[I,R,I,B],[I,B,D,B],[D,B,D,R],[D,R,I,R]].map(A);if(!N.reduce(function(t,e){return t^!!o.segmentsIntersect(u,h,u+1e6,h+1e6,e[0],e[1],e[2],e[3])},!1)){N.forEach(function(t){var e=o.segmentsIntersect(f,d,u,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,d=e.y)});var j=e.arrowwidth,V=e.arrowcolor,U=e.arrowside,q=L.append(\"g\").style({opacity:l.opacity(V)}).classed(\"annotation-arrow-g\",!0),H=q.append(\"path\").attr(\"d\",\"M\"+f+\",\"+d+\"L\"+u+\",\"+h).style(\"stroke-width\",j+\"px\").call(l.stroke,l.rgb(V));if(g(H,U,e),_.annotationPosition&&H.node().parentNode&&!i){var G=u,Y=h;if(e.standoff){var W=Math.sqrt(Math.pow(u-f,2)+Math.pow(h-d,2));G+=e.standoff*(f-u)/W,Y+=e.standoff*(d-h)/W}var X,Z,J=q.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-G)+\",\"+(d-Y),transform:\"translate(\"+G+\",\"+Y+\")\"}).style(\"stroke-width\",j+6+\"px\").call(l.stroke,\"rgba(0,0,0,0)\").call(l.fill,\"rgba(0,0,0,0)\");p.init({element:J.node(),gd:t,prepFn:function(){var t=c.getTranslate(z);X=t.x,Z=t.y,s&&s.autorange&&k(s._name+\".autorange\",!0),v&&v.autorange&&k(v._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(X,Z),a=n[0]+t,i=n[1]+r;z.call(c.setTranslate,a,i),T(\"x\",s?s.p2r(s.r2p(e.x)+t):e.x+t/b.w),T(\"y\",v?v.p2r(v.r2p(e.y)+r):e.y-r/b.h),e.axref===e.xref&&T(\"ax\",s.p2r(s.r2p(e.ax)+t)),e.ayref===e.yref&&T(\"ay\",v.p2r(v.r2p(e.ay)+r)),q.attr(\"transform\",\"translate(\"+t+\",\"+r+\")\"),C.attr({transform:\"rotate(\"+E+\",\"+a+\",\"+i+\")\"})},doneFn:function(){a.call(\"_guiRelayout\",t,M());var 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h=d.width;i=\"M\"+(r.x-h)+\",\"+r.yh+\"h\"+2*h+\"m-\"+h+\",0V\"+r.ys,r.noYS||(i+=\"m-\"+h+\",0h\"+2*h),!o.size()?o=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"yerror\",!0):u&&(o=o.transition().duration(s.duration).ease(s.easing)),o.attr(\"d\",i)}else o.remove();var f=e.select(\"path.xerror\");if(p.visible&&a(r.y)&&a(r.xh)&&a(r.xs)){var v=(p.copy_ystyle?d:p).width;i=\"M\"+r.xh+\",\"+(r.y-v)+\"v\"+2*v+\"m0,-\"+v+\"H\"+r.xs,r.noXS||(i+=\"m0,-\"+v+\"v\"+2*v),!f.size()?f=e.append(\"path\").style(\"vector-effect\",\"non-scaling-stroke\").classed(\"xerror\",!0):u&&(f=f.transition().duration(s.duration).ease(s.easing)),f.attr(\"d\",i)}else f.remove()}})}})}},{\"../../traces/scatter/subtypes\":1144,\"../drawing\":612,d3:165,\"fast-isnumeric\":228}],620:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../color\");e.exports=function(t){t.each(function(t){var e=t[0].trace,r=e.error_y||{},i=e.error_x||{},o=n.select(this);o.selectAll(\"path.yerror\").style(\"stroke-width\",r.thickness+\"px\").call(a.stroke,r.color),i.copy_ystyle&&(i=r),o.selectAll(\"path.xerror\").style(\"stroke-width\",i.thickness+\"px\").call(a.stroke,i.color)})}},{\"../color\":591,d3:165}],621:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),a=t(\"./layout_attributes\").hoverlabel,i=t(\"../../lib/extend\").extendFlat;e.exports={hoverlabel:{bgcolor:i({},a.bgcolor,{arrayOk:!0}),bordercolor:i({},a.bordercolor,{arrayOk:!0}),font:n({arrayOk:!0,editType:\"none\"}),align:i({},a.align,{arrayOk:!0}),namelength:i({},a.namelength,{arrayOk:!0}),editType:\"none\"}}},{\"../../lib/extend\":708,\"../../plots/font_attributes\":791,\"./layout_attributes\":631}],622:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\");function i(t,e,r,a){a=a||n.identity,Array.isArray(t)&&(e[0][r]=a(t))}e.exports=function(t){var e=t.calcdata,r=t._fullLayout;function o(t){return function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s<e.length;s++){var l=e[s],c=l[0].trace;if(!a.traceIs(c,\"pie-like\")){var u=a.traceIs(c,\"2dMap\")?i:n.fillArray;u(c.hoverinfo,l,\"hi\",o(c)),c.hovertemplate&&u(c.hovertemplate,l,\"ht\"),c.hoverlabel&&(u(c.hoverlabel.bgcolor,l,\"hbg\"),u(c.hoverlabel.bordercolor,l,\"hbc\"),u(c.hoverlabel.font.size,l,\"hts\"),u(c.hoverlabel.font.color,l,\"htc\"),u(c.hoverlabel.font.family,l,\"htf\"),u(c.hoverlabel.namelength,l,\"hnl\"),u(c.hoverlabel.align,l,\"hta\"))}}}},{\"../../lib\":717,\"../../registry\":846}],623:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"./hover\").hover;e.exports=function(t,e,r){var i=n.getComponentMethod(\"annotations\",\"onClick\")(t,t._hoverdata);function o(){t.emit(\"plotly_click\",{points:t._hoverdata,event:e})}void 0!==r&&a(t,e,r,!0),t._hoverdata&&e&&e.target&&(i&&i.then?i.then(o):o(),e.stopImmediatePropagation&&e.stopImmediatePropagation())}},{\"../../registry\":846,\"./hover\":627}],624:[function(t,e,r){\"use strict\";e.exports={YANGLE:60,HOVERARROWSIZE:6,HOVERTEXTPAD:3,HOVERFONTSIZE:13,HOVERFONT:\"Arial, sans-serif\",HOVERMINTIME:50,HOVERID:\"-hover\"}},{}],625:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"./hoverlabel_defaults\");e.exports=function(t,e,r,o){var s=n.extendFlat({},o.hoverlabel);e.hovertemplate&&(s.namelength=-1),i(t,e,function(r,i){return n.coerce(t,e,a,r,i)},s)}},{\"../../lib\":717,\"./attributes\":621,\"./hoverlabel_defaults\":628}],626:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.getSubplot=function(t){return t.subplot||t.xaxis+t.yaxis||t.geo},r.isTraceInSubplots=function(t,e){if(\"splom\"===t.type){for(var n=t.xaxes||[],a=t.yaxes||[],i=0;i<n.length;i++)for(var 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e._module.eventData?i=e._module.eventData(i,t,e,n,a):(\"xVal\"in t?i.x=t.xVal:\"x\"in t&&(i.x=t.x),\"yVal\"in t?i.y=t.yVal:\"y\"in t&&(i.y=t.y),t.xa&&(i.xaxis=t.xa),t.ya&&(i.yaxis=t.ya),void 0!==t.zLabelVal&&(i.z=t.zLabelVal)),r.appendArrayPointValue(i,e,a),i},r.appendArrayPointValue=function(t,e,r){var a=e._arrayAttrs;if(a)for(var s=0;s<a.length;s++){var l=a[s],c=i(l);if(void 0===t[c]){var u=o(n.nestedProperty(e,l).get(),r);void 0!==u&&(t[c]=u)}}},r.appendArrayMultiPointValues=function(t,e,r){var a=e._arrayAttrs;if(a)for(var s=0;s<a.length;s++){var l=a[s],c=i(l);if(void 0===t[c]){for(var u=n.nestedProperty(e,l).get(),h=new Array(r.length),f=0;f<r.length;f++)h[f]=o(u,r[f]);t[c]=h}}};var a={ids:\"id\",locations:\"location\",labels:\"label\",values:\"value\",\"marker.colors\":\"color\",parents:\"parent\"};function i(t){return a[t]||t}function o(t,e){return Array.isArray(e)?Array.isArray(t)&&Array.isArray(t[e[0]])?t[e[0]][e[1]]:void 0:t[e]}var s={x:!0,y:!0},l={\"x unified\":!0,\"y 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r=t.index,n=t.trace||{},i=t.cd[0],s=t.cd[r]||{};function l(t){return t||a(t)&&0===t}var c=Array.isArray(r)?function(t,e){var a=o.castOption(i,r,t);return l(a)?a:o.extractOption({},n,\"\",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var a=c(r,n);l(a)&&(t[e]=a)}if(u(\"hoverinfo\",\"hi\",\"hoverinfo\"),u(\"bgcolor\",\"hbg\",\"hoverlabel.bgcolor\"),u(\"borderColor\",\"hbc\",\"hoverlabel.bordercolor\"),u(\"fontFamily\",\"htf\",\"hoverlabel.font.family\"),u(\"fontSize\",\"hts\",\"hoverlabel.font.size\"),u(\"fontColor\",\"htc\",\"hoverlabel.font.color\"),u(\"nameLength\",\"hnl\",\"hoverlabel.namelength\"),u(\"textAlign\",\"hta\",\"hoverlabel.align\"),t.posref=\"y\"===e||\"closest\"===e&&\"h\"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel=\"xLabel\"in 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n=r._dims,a=s.ensureSingle(t,\"rect\",u.railTouchRectClass,function(n){n.call(T,e,t,r).style(\"pointer-events\",\"all\")});a.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,u.tickOffset+r.ticklen+n.labelHeight)}).call(i.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(a,0,n.currentValueTotalHeight)}function C(t,e){var r=e._dims,n=r.inputAreaLength-2*u.railInset,a=s.ensureSingle(t,\"rect\",u.railRectClass);a.attr({width:n,height:u.railWidth,rx:u.railRadius,ry:u.railRadius,\"shape-rendering\":\"crispEdges\"}).call(i.stroke,e.bordercolor).call(i.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(a,u.railInset,.5*(r.inputAreaWidth-u.railWidth)+r.currentValueTotalHeight)}e.exports=function(t){var e=t._fullLayout,r=function(t,e){for(var r=t[u.name],n=[],a=0;a<r.length;a++){var i=r[a];i.visible&&(i._gd=e,n.push(i))}return n}(e,t),i=e._infolayer.selectAll(\"g.\"+u.containerClassName).data(r.length>0?[0]:[]);function 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(A,r,!1),e.call(y,r)}(t,n.select(this),e)})}}},{\"../../constants/alignment\":686,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plot_api/plot_template\":755,\"../../plots/plots\":826,\"../color\":591,\"../drawing\":612,\"./constants\":675,d3:165}],678:[function(t,e,r){\"use strict\";var n=t(\"./constants\");e.exports={moduleType:\"component\",name:n.name,layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),draw:t(\"./draw\")}},{\"./attributes\":674,\"./constants\":675,\"./defaults\":676,\"./draw\":677}],679:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"fast-isnumeric\"),i=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=t(\"../drawing\"),c=t(\"../color\"),u=t(\"../../lib/svg_text_utils\"),h=t(\"../../constants/interactions\"),f=t(\"../../constants/alignment\").OPPOSITE_SIDE,p=/ [XY][0-9]* /;e.exports={draw:function(t,e,r){var d,g=r.propContainer,v=r.propName,m=r.placeholder,y=r.traceIndex,x=r.avoid||{},b=r.attributes,_=r.transform,w=r.containerGroup,k=t._fullLayout,T=1,M=!1,A=g.title,S=(A&&A.text?A.text:\"\").trim(),E=A&&A.font?A.font:{},L=E.family,C=E.size,P=E.color;\"title.text\"===v?d=\"titleText\":-1!==v.indexOf(\"axis\")?d=\"axisTitleText\":v.indexOf(!0)&&(d=\"colorbarTitleText\");var O=t._context.edits[d];\"\"===S?T=0:S.replace(p,\" % \")===m.replace(p,\" % \")&&(T=.2,M=!0,O||(S=\"\")),r._meta?S=s.templateString(S,r._meta):k._meta&&(S=s.templateString(S,k._meta));var z=S||O;w||(w=s.ensureSingle(k._infolayer,\"g\",\"g-\"+e));var I=w.selectAll(\"text\").data(z?[0]:[]);if(I.enter().append(\"text\"),I.text(S).attr(\"class\",e),I.exit().remove(),!z)return w;function D(t){s.syncOrAsync([R,F],t)}function R(e){var r;return _?(r=\"\",_.rotate&&(r+=\"rotate(\"+[_.rotate,b.x,b.y]+\")\"),_.offset&&(r+=\"translate(0, 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n=t(\"../../plots/font_attributes\"),a=t(\"../color/attributes\"),i=t(\"../../lib/extend\").extendFlat,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/pad_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:i(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:a.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plot_api/plot_template\":755,\"../../plots/font_attributes\":791,\"../../plots/pad_attributes\":825,\"../color/attributes\":590}],681:[function(t,e,r){\"use strict\";e.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"\\u25c4\",right:\"\\u25ba\",up:\"\\u25b2\",down:\"\\u25bc\"}}},{}],682:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../plots/array_container_defaults\"),i=t(\"./attributes\"),o=t(\"./constants\").name,s=i.buttons;function l(t,e,r){function o(r,a){return n.coerce(t,e,i,r,a)}o(\"visible\",a(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,a){return n.coerce(t,e,s,r,a)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}e.exports=function(t,e){a(t,e,{name:o,handleItemDefaults:l})}},{\"../../lib\":717,\"../../plots/array_container_defaults\":761,\"./attributes\":680,\"./constants\":681}],683:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../color\"),o=t(\"../drawing\"),s=t(\"../../lib\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../plot_api/plot_template\").arrayEditor,u=t(\"../../constants/alignment\").LINE_SPACING,h=t(\"./constants\"),f=t(\"./scrollbox\");function p(t){return t._index}function d(t,e){return+t.attr(h.menuIndexAttrName)===e._index}function g(t,e,r,n,a,i,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?m(t,n,null,null,e):\"dropdown\"===e.type&&(a.attr(h.menuIndexAttrName,\"-1\"),v(t,n,a,i,e),s||m(t,n,a,i,e))}function v(t,e,r,n,a){var 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c=n.select(this);c.call(y,o,s,t).call(A,o,b),c.on(\"click\",function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(g(t,o,0,e,r,i,-1),a.executeAPICommand(t,s.method,s.args2)):(g(t,o,0,e,r,i,l),a.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))}),c.on(\"mouseover\",function(){c.call(w)}),c.on(\"mouseout\",function(){c.call(k,o),u.call(_,o)})}),u.call(_,o),x?(T.w=Math.max(m.openWidth,m.headerWidth),T.h=b.y-T.t):(T.w=b.x-T.l,T.h=Math.max(m.openHeight,m.headerHeight)),T.direction=o.direction,i&&(u.size()?function(t,e,r,n,a,i){var o,s,l,c=a.direction,u=\"up\"===c||\"down\"===c,f=a._dims,p=a.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(i,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\");n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,i,o,T):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){e=!1,r||t.disable()});r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",function(){r=!1,e||t.disable()})}(i))}function y(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",h.itemRectClassName,function(t){t.attr({rx:h.rx,ry:h.ry,\"shape-rendering\":\"crispEdges\"})}).call(i.stroke,e.bordercolor).call(i.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var a=s.ensureSingle(t,\"text\",h.itemTextClassName,function(t){t.classed(\"user-select-none\",!0).attr({\"text-anchor\":\"start\",\"data-notex\":1})}),i=r.label,c=n._fullLayout._meta;c&&(i=s.templateString(i,c)),a.call(o.font,e.font).text(i).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each(function(t,a){var o=n.select(this);a===r&&e.showactive&&o.select(\"rect.\"+h.itemRectClassName).call(i.fill,h.activeColor)})}function w(t){t.select(\"rect.\"+h.itemRectClassName).call(i.fill,h.hoverColor)}function k(t,e){t.select(\"rect.\"+h.itemRectClassName).call(i.fill,e.bgcolor)}function T(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},i=o.tester.selectAll(\"g.\"+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));i.enter().append(\"g\").classed(h.dropdownButtonClassName,!0);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);i.each(function(a,i){var s=n.select(this);s.call(y,e,a,t);var f=s.select(\".\"+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),g=e.font.size*u,v=l.lineCount(f),m=Math.max(g*v,h.minHeight)+h.textOffsetY;m=Math.ceil(m),d=Math.ceil(d),r.widths[i]=d,r.heights[i]=m,r.height1=Math.max(r.height1,m),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=m+h.gapButton,r.openHeight+=m+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,m),r.openHeight=r.totalHeight)}),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),i.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,g=this.position.w,v=this.position.t,m=this.position.h,y=this.position.direction,x=\"down\"===y,b=\"left\"===y,_=\"up\"===y,w=g,k=m;x||b||\"right\"===y||_||(this.position.direction=\"down\",x=!0),x||_?(h=(u=d)+w,x?(f=v,k=(p=Math.min(f+k,c))-f):k=(p=v+k)-(f=Math.max(p-k,0))):(p=(f=v)+k,b?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:k};var T=g>w,M=s.barLength+2*s.barPad,A=s.barWidth+2*s.barPad,S=d,E=v+m;E+A>c&&(E=c-A);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(T?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(a.fill,s.barColor),T?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:M,height:A}),this._hbarXMin=S+M/2,this._hbarTranslateMax=w-M):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=m>k,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,z=d+g,I=v;z+P>l&&(z=l-P);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(a.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:I,width:P,height:O}),this._vbarYMin=I+O/2,this._vbarTranslateMax=k-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=C?h+P+.5:h+.5,N=f-.5,j=T?p+A+.5:p+.5,V=o._topdefs.selectAll(\"#\"+R).data(T||C?[0]:[]);if(V.exit().remove(),V.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),T||C?(this._clipRect=V.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(i.setClipUrl,R,this.gd),this.bg.attr({x:d,y:v,width:g,height:m})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(i.setClipUrl,null),delete this._clipRect),T||C){var U=n.behavior.drag().on(\"dragstart\",function(){n.event.sourceEvent.preventDefault()}).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(U);var 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l=t[n];(l.loc||0===l.loc)&&(a[l.loc]=l)}function u(t){var r=h(t,e.featureidkey||\"id\").get(),n=a[r];if(n){var l=t.geometry;if(\"Polygon\"===l.type||\"MultiPolygon\"===l.type){var u={type:\"Feature\",id:r,geometry:l,properties:{}};u.properties.ct=function(t){var e,r=t.geometry;if(\"MultiPolygon\"===r.type)for(var n=r.coordinates,a=0,s=0;s<n.length;s++){var l={type:\"Polygon\",coordinates:n[s]},c=i.default(l);c>a&&(a=c,e=l)}else e=r;return o.default(e).geometry.coordinates}(u),n.fIn=t,n.fOut=u,s.push(u)}else c.log([\"Location\",n.loc,\"does not have a valid GeoJSON geometry.\",\"Traces with locationmode *geojson-id* only support\",\"*Polygon* and *MultiPolygon* geometries.\"].join(\" \"))}delete a[r]}switch(r.type){case\"FeatureCollection\":var f=r.features;for(n=0;n<f.length;n++)u(f[n]);break;case\"Feature\":u(r);break;default:return c.warn([\"Invalid GeoJSON type\",(r.type||\"none\")+\".\",\"Traces with locationmode *geojson-id* only support\",\"*FeatureCollection* and *Feature* 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l=e[n].cd[0].trace._fullInput,c=t._fullLayout._tracePreGUI[l.uid]||{};void 0===c.selectedpoints&&(c.selectedpoints=l._input.selectedpoints||null)}if(r){var u=r.points||[];for(n=0;n<e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&&(s.selectedpoints=[]);for(n=0;n<u.length;n++){var h=u[n],d=h.data,g=h.fullData;h.pointIndices?([].push.apply(d.selectedpoints,h.pointIndices),s._fullInput!==s&&[].push.apply(g.selectedpoints,h.pointIndices)):(d.selectedpoints.push(h.pointIndex),s._fullInput!==s&&g.selectedpoints.push(h.pointIndex))}}else for(n=0;n<e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&&delete s._fullInput.selectedpoints;var v=!1;for(n=0;n<e.length;n++){s=(o=(i=e[n]).cd)[0].trace,a.traceIs(s,\"regl\")&&(v=!0);var m=i._module,y=m.styleOnSelect||m.style;y&&(y(t,o,o[0].node3),o[0].nodeRangePlot3&&y(t,o,o[0].nodeRangePlot3))}v&&(f(t),p(t))}function 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n=t(\"d3\"),a=t(\"fast-isnumeric\"),i=t(\"../../lib\"),o=i.cleanNumber,s=i.ms2DateTime,l=i.dateTime2ms,c=i.ensureNumber,u=i.isArrayOrTypedArray,h=t(\"../../constants/numerical\"),f=h.FP_SAFE,p=h.BADNUM,d=h.LOG_CLIP,g=h.ONEDAY,v=h.ONEHOUR,m=h.ONEMIN,y=h.ONESEC,x=t(\"./axis_ids\"),b=t(\"./constants\"),_=b.HOUR_PATTERN,w=b.WEEKDAY_PATTERN;function k(t){return Math.pow(10,t)}function T(t){return null!=t}e.exports=function(t,e){e=e||{};var r=t._id||\"x\",h=r.charAt(0);function M(e,r){if(e>0)return Math.log(e)/Math.LN10;if(e<=0&&r&&t.range&&2===t.range.length){var n=t.range[0],a=t.range[1];return.5*(n+a-2*d*Math.abs(n-a))}return p}function A(e,r,n){var o=l(e,n||t.calendar);if(o===p){if(!a(e))return p;e=+e;var s=Math.floor(10*i.mod(e+.05,1)),c=Math.round(e-s/10);o=l(new Date(c))+s/10}return o}function S(e,r,n){return s(e,r,n||t.calendar)}function E(e){return t._categories[Math.round(e)]}function L(e){if(T(e)){if(void 0===t._categoriesMap&&(t._categoriesMap={}),void 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s,l,c=t.r2l(t[i][0],o),u=t.r2l(t[i][1],o),f=\"y\"===h;if((f?(t._offset=n.t+(1-t.domain[1])*n.h,t._length=n.h*(t.domain[1]-t.domain[0]),t._m=t._length/(c-u),t._b=-t._m*u):(t._offset=n.l+t.domain[0]*n.w,t._length=n.w*(t.domain[1]-t.domain[0]),t._m=t._length/(u-c),t._b=-t._m*c),t._rangebreaks=[],t._lBreaks=0,t._m2=0,t._B=[],t.rangebreaks)&&(t._rangebreaks=t.locateBreaks(Math.min(c,u),Math.max(c,u)),t._rangebreaks.length)){for(s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._lBreaks+=Math.abs(l.max-l.min);var p=f;c>u&&(p=!p),p&&t._rangebreaks.reverse();var d=p?-1:1;for(t._m2=d*t._length/(Math.abs(u-c)-t._lBreaks),t._B.push(-t._m2*(f?u:c)),s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._B.push(t._B[t._B.length-1]-d*t._m2*(l.max-l.min));for(s=0;s<t._rangebreaks.length;s++)(l=t._rangebreaks[s]).pmin=I(l.min),l.pmax=I(l.max)}if(!isFinite(t._m)||!isFinite(t._b)||t._length<0)throw e._replotting=!1,new Error(\"Something went wrong with axis 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n=t(\"d3\"),a=t(\"../../registry\"),i=t(\"../../lib\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../components/fx\"),c=t(\"../plots\"),u=t(\"../cartesian/axes\"),h=t(\"../cartesian/autorange\").getAutoRange,f=t(\"../../components/dragelement\"),p=t(\"../cartesian/select\").prepSelect,d=t(\"../cartesian/select\").selectOnClick,g=t(\"./zoom\"),v=t(\"./constants\"),m=t(\"../../lib/geo_location_utils\"),y=t(\"../../lib/topojson_utils\"),x=t(\"topojson-client\").feature;function b(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}t(\"./projections\")(n);var _=b.prototype;function w(t,e){var r=v.clipPad,n=t[0]+r,a=t[1]-r,i=e[0]+r,o=e[1]-r;n>0&&a<0&&(a+=360);var s=(a-n)/4;return{type:\"Polygon\",coordinates:[[[n,i],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[a,o],[a,i],[a-s,i],[a-2*s,i],[a-3*s,i],[n,i]]]}}e.exports=function(t){return new b(t)},_.plot=function(t,e,r){var n=this,a=e[this.id],i=[],o=!1;for(var s in v.layerNameToAdjective)if(\"frame\"!==s&&a[\"show\"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var c=y.getTopojsonName(a);null!==n.topojson&&c===n.topojsonName||(n.topojsonName=c,void 0===PlotlyGeoAssets.topojson[n.topojsonName]&&i.push(n.fetchTopojson()))}i=i.concat(m.fetchTraceGeoData(t)),r.push(new Promise(function(r,a){Promise.all(i).then(function(){n.topojson=PlotlyGeoAssets.topojson[n.topojsonName],n.update(t,e),r()}).catch(a)}))},_.fetchTopojson=function(){var t=this,e=y.getTopojsonPath(t.topojsonURL,t.topojsonName);return new Promise(function(r,a){n.json(e,function(n,i){if(n)return 404===n.status?a(new Error([\"plotly.js could not find topojson file at\",e,\".\",\"Make sure the *topojsonURL* plot config option\",\"is set properly.\"].join(\" \"))):a(new Error([\"unexpected error while fetching topojson file at\",e].join(\" \")));PlotlyGeoAssets.topojson[t.topojsonName]=i,r()})})},_.update=function(t,e){var r=e[this.id];this.hasChoropleth=!1;for(var n=0;n<t.length;n++){var a=t[n],i=a[0].trace;\"choropleth\"===i.type&&(this.hasChoropleth=!0),!0===i.visible&&i._length>0&&i._module.calcGeoJSON(a,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),c.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=o.selectAll(\".point\"),this.dataPoints.text=o.selectAll(\"text\"),this.dataPaths.line=o.selectAll(\".js-line\");var s=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=s.selectAll(\"path\"),this.render()}},_.updateProjection=function(t,e){var r=this.graphDiv,o=e[this.id],s=e._size,l=o.domain,c=o.projection,u=o.lonaxis,f=o.lataxis,p=u._ax,d=f._ax,g=this.projection=function(t){for(var e=t.projection.type,r=n.geo[v.projNames[e]](),a=t._isClipped?v.lonaxisSpan[e]/2:null,i=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],o=function(t){return t?r:[]},s=0;s<i.length;s++){var l=i[s];\"function\"!=typeof r[l]&&(r[l]=o)}r.isLonLatOverEdges=function(t){if(null===r(t))return!0;if(a){var e=r.rotate();return n.geo.distance(t,[-e[0],-e[1]])>a*Math.PI/180}return!1},r.getPath=function(){return n.geo.path().projection(r)},r.getBounds=function(t){return r.getPath().bounds(t)},r.fitExtent=function(t,e){var n=t[1][0]-t[0][0],a=t[1][1]-t[0][1],i=r.clipExtent&&r.clipExtent();r.scale(150).translate([0,0]),i&&r.clipExtent(null);var o=r.getBounds(e),s=Math.min(n/(o[1][0]-o[0][0]),a/(o[1][1]-o[0][1])),l=+t[0][0]+(n-s*(o[1][0]+o[0][0]))/2,c=+t[0][1]+(a-s*(o[1][1]+o[0][1]))/2;return i&&r.clipExtent(i),r.scale(150*s).translate([l,c])},r.precision(v.precision),a&&r.clipAngle(a-v.clipPad);return r}(o),m=[[s.l+s.w*l.x[0],s.t+s.h*(1-l.y[1])],[s.l+s.w*l.x[1],s.t+s.h*(1-l.y[0])]],y=o.center||{},x=c.rotation||{},b=u.range||[],_=f.range||[];if(o.fitbounds){p._length=m[1][0]-m[0][0],d._length=m[1][1]-m[0][1],p.range=h(r,p),d.range=h(r,d);var k=(p.range[0]+p.range[1])/2,T=(d.range[0]+d.range[1])/2;if(o._isScoped)y={lon:k,lat:T};else if(o._isClipped){y={lon:k,lat:T},x={lon:k,lat:T,roll:x.roll};var M=c.type,A=v.lonaxisSpan[M]/2||180,S=v.lataxisSpan[M]/2||180;b=[k-A,k+A],_=[T-S,T+S]}else y={lon:k,lat:T},x={lon:k,lat:x.lat,roll:x.roll}}g.center([y.lon-x.lon,y.lat-x.lat]).rotate([-x.lon,-x.lat,x.roll]).parallels(c.parallels);var E=w(b,_);g.fitExtent(m,E);var L=this.bounds=g.getBounds(E),C=this.fitScale=g.scale(),P=g.translate();if(!isFinite(L[0][0])||!isFinite(L[0][1])||!isFinite(L[1][0])||!isFinite(L[1][1])||isNaN(P[0])||isNaN(P[0])){for(var O=[\"fitbounds\",\"projection.rotation\",\"center\",\"lonaxis.range\",\"lataxis.range\"],z=\"Invalid geo settings, relayout'ing to default 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n,a,i,o=e[t],s=v.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,a=s.lataxisRange,i=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,a=s.lonaxisRange,i=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};u.setConvert(l,r);var c=u.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var h=c.length,f=new Array(h),p=0;p<h;p++)for(var d=c[p].x,g=f[p]=[],m=a[0];m<a[1]+2.5;m+=2.5)g.push(i(d,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(o.stroke,e[r].gridcolor).call(s.dashLine,\"\",e[r].gridwidth),h(r)?n.call(o.stroke,e[i+\"color\"]).call(s.dashLine,\"\",e[i+\"width\"]):f(r)&&n.call(o.fill,e[i+\"color\"])})},_.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,a=r[0][0]-n,i=r[0][1]-n,l=r[1][0]-a+n,c=r[1][1]-i+n;s.setRect(this.clipRect,a,i,l,c),this.bgRect.call(s.setRect,a,i,l,c).call(o.fill,e.bgcolor),this.xaxis._offset=a,this.xaxis._length=l,this.yaxis._offset=i,this.yaxis._length=c},_.updateFx=function(t,e){var r=this,i=r.graphDiv,o=r.bgRect,s=t.dragmode,c=t.clickmode;if(!r.isStatic){var u;\"select\"===s?u=function(t,e){(t.range={})[r.id]=[v([e.xmin,e.ymin]),v([e.xmax,e.ymax])]}:\"lasso\"===s&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(v)});var h={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(e){2===e&&t._zoomlayer.selectAll(\".select-outline\").remove()}};\"pan\"===s?(o.node().onmousedown=null,o.call(g(r,e)),o.on(\"dblclick.zoom\",function(){var t=r.viewInitial,e={};for(var n in 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t=this,e=t.graphDiv,r=e._fullLayout,a=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",a),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(s.setClipUrl,a,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},u.setConvert(t.mockAxis,r)},_.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,a=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":a.lon,\"projection.rotation.lat\":a.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":a.lon},i.extendFlat(this.viewInitial,e)},_.render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?\"translate(\"+r[0]+\",\"+r[1]+\")\":null}function a(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",function(t){return r(t.geojson)});for(t in this.dataPoints)this.dataPoints[t].attr(\"display\",a).attr(\"transform\",n)}},{\"../../components/color\":591,\"../../components/dragelement\":609,\"../../components/drawing\":612,\"../../components/fx\":630,\"../../lib\":717,\"../../lib/geo_location_utils\":711,\"../../lib/topojson_utils\":744,\"../../registry\":846,\"../cartesian/autorange\":764,\"../cartesian/axes\":765,\"../cartesian/select\":782,\"../plots\":826,\"./constants\":793,\"./projections\":798,\"./zoom\":799,d3:165,\"topojson-client\":538}],795:[function(t,e,r){\"use strict\";var n=t(\"../../plots/get_data\").getSubplotCalcData,a=t(\"../../lib\").counterRegex,i=t(\"./geo\"),o=\"geo\",s=a(o),l={};l[o]={valType:\"subplotid\",dflt:o,editType:\"calc\"},e.exports={attr:o,name:o,idRoot:o,idRegex:s,attrRegex:s,attributes:l,layoutAttributes:t(\"./layout_attributes\"),supplyLayoutDefaults:t(\"./layout_defaults\"),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,a=e._subplots[o],s=0;s<a.length;s++){var 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n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"./scene2d\"),i=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:i.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,i=0;i<n.length;i++){var o=n[i],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new a({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl2d||[],i=0;i<a.length;i++){var o=a[i],s=n._plots[o];if(s._scene2d)0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var a=e._plots[r[n]]._scene2d,i=a.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":i,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),a.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":631,\"../../constants/xmlns_namespaces\":694,\"../../plot_api/edit_types\":748,\"../cartesian\":776,\"../cartesian/attributes\":763,\"../cartesian/constants\":771,\"../get_data\":800,\"../layout_attributes\":817,\"./scene2d\":804}],804:[function(t,e,r){\"use strict\";var n,a,i=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),h=t(\"webgl-context\"),f=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),v=g.enforce,m=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=[\"xaxis\",\"yaxis\"],b=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function _(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=_;var w=_.prototype;w.makeFramework=function(){if(this.staticPlot){if(!(a||(n=document.createElement(\"canvas\"),a=h({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=a}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=h({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r),r.className+=\" user-select-none\";var i=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(i),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",function(){l.isMouseOver=!1,l.unhover()}),o.addEventListener(\"mouseover\",function(){l.isMouseOver=!0})},w.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,a=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var i=new Uint8Array(r*a*4);e.readPixels(0,0,r,a,e.RGBA,e.UNSIGNED_BYTE,i);for(var o=0,s=a-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=i[4*(r*o+l)+c];i[4*(r*o+l)+c]=i[4*(r*s+l)+c],i[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=a;var f,p=h.getContext(\"2d\"),d=p.createImageData(r,a);switch(d.data.set(i),p.putImageData(d,0,0),t){case\"jpeg\":f=h.toDataURL(\"image/jpeg\");break;case\"webp\":f=h.toDataURL(\"image/webp\");break;default:f=h.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),f},w.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,a=r.height,i=0|Math.ceil(e*n),o=0|Math.ceil(e*a);return t.width===i&&t.height===o||(t.width=i,t.height=o),t},w.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},w.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(b),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,a={},o=a[e._name+\".range\"]=e.range.slice(),s=a[r._name+\".range\"]=r.range.slice();a[e._name+\".autorange\"]=e.autorange,a[r._name+\".autorange\"]=r.autorange,i.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,a);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,a.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",a)},w.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],a=e[r];if(n.length!==a.length)return!0;for(var i=0;i<n.length;++i)if(n[i].x!==a[i].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},w.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&i.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},w.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map(function(e){t[e].dispose(),delete t[e]}),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},w.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var a=r.width,i=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,a,i];var s={_fullLayout:{_axisConstraintGroups:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};m(s,this.xaxis),m(s,this.yaxis);var l,c,u=r._size,h=this.xaxis.domain,f=this.yaxis.domain;for(o.viewBox=[u.l+h[0]*u.w,u.b+f[0]*u.h,a-u.r-(1-h[1])*u.w,i-u.t-(1-f[1])*u.h],this.mouseContainer.style.width=u.w*(h[1]-h[0])+\"px\",this.mouseContainer.style.height=u.h*(f[1]-f[0])+\"px\",this.mouseContainer.height=u.h*(f[1]-f[0]),this.mouseContainer.style.left=u.l+h[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-f[1])*u.h+\"px\",c=0;c<2;++c)(l=this[x[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();v(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,a=t.r2l,i=e.r2l;return[a(r[0]),i(n[0]),a(r[1]),i(n[1])]},w.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,a=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[a(t[1]),a(t[3])]},w.updateTraces=function(t,e){var r,n,a,i=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<i.length;r++){var o=i[r],s=this.traces[o];for(n=0;n<t.length;n++)if((a=t[n]).uid===o&&a.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){a=t[r];var l=e[r],c=this.traces[a.uid];c?c.update(a,l):(c=a._module.plot(this,a,l),this.traces[a.uid]=c)}this.glplot.objects.sort(function(t,e){return t._trace.index-e._trace.index})},w.updateFx=function(t){\"lasso\"===t||\"select\"===t?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},w.emitPointAction=function(t,e){for(var r,n=t.trace.uid,a=t.pointIndex,i=0;i<this.fullData.length;i++)this.fullData[i].uid===n&&(r=this.fullData[i]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:a,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,a),this.graphDiv.emit(e,{points:[o]})},w.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,a=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var i,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===a.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=a._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(i=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&i.object._trace.handlePick(i);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),i&&\"skip\"!==i.object._trace.hoverinfo&&a.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:i.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(i.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(i.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var v=this.fullData[g.trace.index]||{},m=g.pointIndex,y=s.castHoverinfo(v,a,m);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(v,m,\"bgcolor\")||g.color,borderColor:s.castHoverOption(v,m,\"bordercolor\"),fontFamily:s.castHoverOption(v,m,\"font.family\"),fontSize:s.castHoverOption(v,m,\"font.size\"),fontColor:s.castHoverOption(v,m,\"font.color\"),nameLength:s.castHoverOption(v,m,\"namelength\"),textAlign:s.castHoverOption(v,m,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}i||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/fx\":630,\"../../lib/show_no_webgl_msg\":738,\"../../plots/cartesian/axes\":765,\"../../registry\":846,\"../cartesian/autorange\":764,\"../cartesian/constants\":771,\"../cartesian/constraints\":772,\"./camera\":801,\"./convert\":802,\"gl-plot2d\":290,\"gl-select-box\":302,\"gl-spikes2d\":311,\"webgl-context\":554}],805:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,a=t(\"../../components/fx/layout_attributes\"),i=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:a.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,a=0;a<n.length;a++){var s=n[a],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,h=c._scene;h||(h=new i({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var a=n._subplots.gl3d||[],i=0;i<a.length;i++){var o=a[i];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,a=0;a<r.length;a++){var i=e[r[a]],o=i.domain,s=i._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":631,\"../../constants/xmlns_namespaces\":694,\"../../lib\":717,\"../../plot_api/edit_types\":748,\"../get_data\":800,\"./layout/attributes\":806,\"./layout/defaults\":810,\"./layout/layout_attributes\":811,\"./scene\":815}],806:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],807:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),a=t(\"../../cartesian/layout_attributes\"),i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:a.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:a.color,categoryorder:a.categoryorder,categoryarray:a.categoryarray,title:{text:a.title.text,font:a.title.font},type:i({},a.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autorange:a.autorange,rangemode:a.rangemode,range:i({},a.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:a.tickmode,nticks:a.nticks,tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,mirror:a.mirror,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,tickfont:a.tickfont,tickangle:a.tickangle,tickprefix:a.tickprefix,showtickprefix:a.showtickprefix,ticksuffix:a.ticksuffix,showticksuffix:a.showticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,separatethousands:a.separatethousands,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:a.showline,linecolor:a.linecolor,linewidth:a.linewidth,showgrid:a.showgrid,gridcolor:i({},a.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:a.gridwidth,zeroline:a.zeroline,zerolinecolor:a.zerolinecolor,zerolinewidth:a.zerolinewidth,_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":591,\"../../../lib/extend\":708,\"../../../plot_api/edit_types\":748,\"../../cartesian/layout_attributes\":777}],808:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,a=t(\"../../../lib\"),i=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,h;function f(t,e){return a.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=i.newContainer(e,d))._id=d[0]+r.scene,h._name=d,s(u,h,f,r),l(u,h,f,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,13600/187).toRgbString()),f(\"title.text\",d[0]),h.setScale=a.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},{\"../../../lib\":717,\"../../../plot_api/plot_template\":755,\"../../cartesian/axis_defaults\":767,\"../../cartesian/type_defaults\":788,\"./axis_attributes\":807,tinycolor2:535}],809:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[i[r]];o.visible?(this.labels[r]=t._meta?a.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":717,\"../../../lib/str2rgbarray\":740}],810:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),a=t(\"../../../components/color\"),i=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=a.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var g=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),i.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var v=n.getDfltFromLayout(\"dragmode\");if(!1!==v&&!v)if(v=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,x=t.camera.up.z;0!==x&&(m&&y&&x?x/Math.sqrt(m*m+y*y+x*x)>.999&&(v=\"turntable\"):v=\"turntable\")}else v=\"turntable\";r(\"dragmode\",v),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var a=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!a)return n.validate(t[e],l[e])?t[e]:void 0},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":591,\"../../../lib\":717,\"../../../registry\":846,\"../../get_data\":800,\"../../subplot_defaults\":840,\"./axis_defaults\":808,\"./layout_attributes\":811}],811:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),a=t(\"../../domain\").attributes,i=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:i(s(0,0,1),{}),center:i(s(0,0,0),{}),eye:i(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:a({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":717,\"../../../lib/extend\":708,\"../../domain\":790,\"./axis_attributes\":807}],812:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function i(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}i.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[a[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new i;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":740}],813:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[i[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||a.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}e.ticks=l;for(var c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(var d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],a=new Array(n.length),i=0;i<n.length;++i)a[i]=n[i].x;e[r]=a}return e}(l)};var n=t(\"../../cartesian/axes\"),a=t(\"../../../lib\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":717,\"../../cartesian/axes\":765}],814:[function(t,e,r){\"use strict\";function n(t,e){var r,n,a=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)a[n]+=t[4*r+n]*e[r];return a}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],815:[function(t,e,r){\"use strict\";var n,a,i=t(\"gl-plot3d\"),o=i.createCamera,s=i.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),h=t(\"../../lib\"),f=t(\"../../plots/cartesian/axes\"),p=t(\"../../components/fx\"),d=t(\"../../lib/str2rgbarray\"),g=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),m=t(\"./layout/convert\"),y=t(\"./layout/spikes\"),x=t(\"./layout/tick_marks\"),b=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\",r.appendChild(a),this.svgContainer=a,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=y(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:b,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(a||(n=document.createElement(\"canvas\"),a=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=a,t.canvas=n}return t},w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode)e=!1;else try{h.warn([\"webgl setup failed possibly due to\",b?\"disabling\":\"enabling\",\"preserveDrawingBuffer config.\",\"The device may not be supported by is-mobile module!\",\"Inverting preserveDrawingBuffer option in second attempt to create webgl scene.\"].join(\" \")),b=t.glOptions.preserveDrawingBuffer=!t.glOptions.preserveDrawingBuffer,this.glplot=s(t)}catch(t){e=!1}}return e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},a=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas.addEventListener(\"mouseup\",function(){a(t)}),t.glplot.canvas.addEventListener(\"wheel\",function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,i=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*i.x,y:n*i.y,z:n*i.z})}a(t)}},!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}}),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})},!1),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,a=e.container.getBoundingClientRect(),i=a.width,o=a.height;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+i+\" \"+o),n.setAttributeNS(null,\"width\",i),n.setAttributeNS(null,\"height\",o),x(e),e.glplot.axes.update(e.axesOptions);for(var s,l=Object.keys(e.traces),c=null,u=e.glplot.selection,d=0;d<l.length;++d)\"skip\"!==(t=e.traces[l[d]]).data.hoverinfo&&t.handlePick(u)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r){var n=e.fullSceneLayout[t];return f.tickText(n,n.d2l(r),\"hover\").text}if(null!==c){var m=v(e.glplot.cameraParams,u.dataCoordinate);t=c.data;var y,b=r._fullData[t.index],_=u.index,w={xLabel:g(\"xaxis\",u.traceCoordinate[0]),yLabel:g(\"yaxis\",u.traceCoordinate[1]),zLabel:g(\"zaxis\",u.traceCoordinate[2])},k=p.castHoverinfo(b,e.fullLayout,_),T=(k||\"\").split(\"+\"),M=k&&\"all\"===k;b.hovertemplate||M||(-1===T.indexOf(\"x\")&&(w.xLabel=void 0),-1===T.indexOf(\"y\")&&(w.yLabel=void 0),-1===T.indexOf(\"z\")&&(w.zLabel=void 0),-1===T.indexOf(\"text\")&&(u.textLabel=void 0),-1===T.indexOf(\"name\")&&(c.name=void 0));var A=[];\"cone\"===t.type||\"streamtube\"===t.type?(w.uLabel=g(\"xaxis\",u.traceCoordinate[3]),(M||-1!==T.indexOf(\"u\"))&&A.push(\"u: \"+w.uLabel),w.vLabel=g(\"yaxis\",u.traceCoordinate[4]),(M||-1!==T.indexOf(\"v\"))&&A.push(\"v: \"+w.vLabel),w.wLabel=g(\"zaxis\",u.traceCoordinate[5]),(M||-1!==T.indexOf(\"w\"))&&A.push(\"w: \"+w.wLabel),w.normLabel=u.traceCoordinate[6].toPrecision(3),(M||-1!==T.indexOf(\"norm\"))&&A.push(\"norm: \"+w.normLabel),\"streamtube\"===t.type&&(w.divergenceLabel=u.traceCoordinate[7].toPrecision(3),(M||-1!==T.indexOf(\"divergence\"))&&A.push(\"divergence: \"+w.divergenceLabel)),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(w.valueLabel=f.tickText(e._mockAxis,e._mockAxis.d2l(u.traceCoordinate[3]),\"hover\").text,A.push(\"value: \"+w.valueLabel),u.textLabel&&A.push(u.textLabel),y=A.join(\"<br>\")):y=u.textLabel;var S={x:u.traceCoordinate[0],y:u.traceCoordinate[1],z:u.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};p.appendArrayPointValue(S,b,_),t._module.eventData&&(S=b._module.eventData(S,u,b,{},_));var E={points:[S]};e.fullSceneLayout.hovermode&&p.loneHover({trace:b,x:(.5+.5*m[0]/m[3])*i,y:(.5-.5*m[1]/m[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:y,name:c.name,color:p.castHoverOption(b,_,\"bgcolor\")||c.color,borderColor:p.castHoverOption(b,_,\"bordercolor\"),fontFamily:p.castHoverOption(b,_,\"font.family\"),fontSize:p.castHoverOption(b,_,\"font.size\"),fontColor:p.castHoverOption(b,_,\"font.color\"),nameLength:p.castHoverOption(b,_,\"namelength\"),textAlign:p.castHoverOption(b,_,\"align\"),hovertemplate:h.castOption(b,_,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),u.buttons&&u.distance<5?r.emit(\"plotly_click\",E):r.emit(\"plotly_hover\",E),s=E}else p.loneUnhover(n),r.emit(\"plotly_unhover\",s);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):h.error(\"Catastrophic and unrecoverable WebGL error. 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n,a,i,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(d(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(i=0;i<t.length;++i)!0===(n=t[i]).visible&&0!==n._length&&T(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],a=0;a<3;a++)for(var i=k[a],o=i.charAt(0),s=r[i],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][a]=Math.min(e[0][a],u),e[1][a]=Math.max(e[1][a],u))}}}(this,h);var 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i=e[r[a]],u=i.domain,f=i._subplot.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":f,x:n.l+n.w*u.x[0],y:n.t+n.h*(1-u.y[1]),width:n.w*(u.x[1]-u.x[0]),height:n.h*(u.y[1]-u.y[0]),preserveAspectRatio:\"none\"});var p=s.select(i._subplot.div);if(!(null===p.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var d=e._glimages.append(\"g\");d.attr(\"transform\",\"translate(\"+(n.l+n.w*u.x[0]+10)+\", \"+(n.t+n.h*(1-u.y[0])-31)+\")\"),d.append(\"path\").attr(\"d\",h.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),d.append(\"path\").attr(\"d\",h.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),d.append(\"path\").attr(\"d\",h.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),d.append(\"polygon\").attr(\"points\",h.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var g=p.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve 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this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},s.needsNewSource=function(t){return this.sourceType!==t.sourcetype||this.source!==t.source||this.layerType!==t.type},s.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},s.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates})},s.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,l(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof 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t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},s.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new o(t,e);return n.update(r),n}},{\"../../lib\":717,\"./constants\":818,\"./convert_text_opts\":819}],822:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\").defaultLine,i=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),h=o({});h.family.dflt=\"Open Sans Regular, Arial Unicode MS 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strict\";var n=t(\"../../lib\"),a=t(\"../subplot_defaults\"),i=t(\"../array_container_defaults\"),o=t(\"./layout_attributes\");function s(t,e,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\"),i(t,e,{name:\"layers\",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,a){return n.coerce(t,e,o.layers,r,a)}if(r(\"visible\")){var a,i=r(\"sourcetype\"),s=\"raster\"===i||\"image\"===i;r(\"source\"),r(\"sourceattribution\"),\"vector\"===i&&r(\"sourcelayer\"),\"image\"===i&&r(\"coordinates\"),s&&(a=\"raster\");var l=r(\"type\",a);s&&\"raster\"!==l&&(l=e.type=\"raster\",n.log(\"Source types *raster* and *image* must drawn *raster* layer 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ft=ot.select(\"circle\").style({stroke:\"grey\",fill:\"none\"});R.on(\"mousemove.radial-guide\",function(t,e){var n=o.util.getMousePos(Y).radius;ft.attr({r:n}).style({opacity:.5}),it=r.invert(o.util.getMousePos(Y).radius);var a=o.util.convertToCartesian(n,f.radialAxis.orientation);ct.text(o.util.round(it)).move([a[0]+_[0],a[1]+_[1]])}).on(\"mouseout.radial-guide\",function(t,e){ft.style({opacity:0}),ut.hide(),lt.hide(),ct.hide()}),t.selectAll(\".geometry-group .mark\").on(\"mouseover.tooltip\",function(e,r){var a=n.select(this),i=this.style.fill,s=\"black\",l=this.style.opacity||1;if(a.attr({\"data-opacity\":l}),i&&\"none\"!==i){a.attr({\"data-fill\":i}),s=n.hsl(i).darker().toString(),a.style({fill:s,opacity:1});var c={t:o.util.round(e[0]),r:o.util.round(e[1])};T&&(c.t=w[e[0]]);var u=\"t: \"+c.t+\", r: \"+c.r,h=this.getBoundingClientRect(),f=t.node().getBoundingClientRect(),p=[h.left+h.width/2-V[0]-f.left,h.top+h.height/2-V[1]-f.top];ut.config({color:s}).text(u),ut.move(p)}else 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n=e*Math.PI/180;return[e,t(n)]})},o.util.dataFromEquation=function(t,e,r){var a=e||6,i=[],o=[];n.range(0,360+a,a).forEach(function(e,r){var n=e*Math.PI/180,a=t(n);i.push(e),o.push(a)});var s={t:i,r:o};return r&&(s.name=r),s},o.util.ensureArray=function(t,e){if(\"undefined\"==typeof t)return null;var r=[].concat(t);return n.range(e).map(function(t,e){return r[e]||r[0]})},o.util.fillArrays=function(t,e,r){return e.forEach(function(e,n){t[e]=o.util.ensureArray(t[e],r)}),t},o.util.cloneJson=function(t){return JSON.parse(JSON.stringify(t))},o.util.validateKeys=function(t,e){\"string\"==typeof e&&(e=e.split(\".\"));var r=e.shift();return t[r]&&(!e.length||objHasKeys(t[r],e))},o.util.sumArrays=function(t,e){return n.zip(t,e).map(function(t,e){return n.sum(t)})},o.util.arrayLast=function(t){return t[t.length-1]},o.util.arrayEqual=function(t,e){for(var r=Math.max(t.length,e.length,1);r-- >=0&&t[r]===e[r];);return-2===r},o.util.flattenArray=function(t){for(var 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t[n].data.opacity},display:function(e,r,n){return\"undefined\"==typeof t[n].data.visible||t[n].data.visible?\"block\":\"none\"}},g=n.select(this).selectAll(\"g.layer\").data(o);g.enter().append(\"g\").attr({class:\"layer\"});var v=g.selectAll(\"path.mark\").data(function(t,e){return t});v.enter().append(\"path\").attr({class:\"mark\"}),v.style(d).each(c[e.geometryType]),v.exit().remove(),g.exit().remove()})}return i.config=function(e){return arguments.length?(e.forEach(function(e,r){t[r]||(t[r]={}),a(t[r],o.PolyChart.defaultConfig()),a(t[r],e)}),this):t},i.getColorScale=function(){},n.rebind(i,e,\"on\"),i},o.PolyChart.defaultConfig=function(){return{data:{name:\"geom1\",t:[[1,2,3,4]],r:[[1,2,3,4]],dotType:\"circle\",dotSize:64,dotVisible:!1,barWidth:20,color:\"#ffa500\",strokeSize:1,strokeColor:\"silver\",strokeDash:\"solid\",opacity:1,index:0,visible:!0,visibleInLegend:!0},geometryConfig:{geometry:\"LinePlot\",geometryType:\"arc\",direction:\"clockwise\",orientation:0,container:\"body\",radialScale:null,angularScale:null,colorScale:n.scale.category20()}}},o.BarChart=function(){return o.PolyChart()},o.BarChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"bar\"}}},o.AreaChart=function(){return o.PolyChart()},o.AreaChart.defaultConfig=function(){return{geometryConfig:{geometryType:\"arc\"}}},o.DotPlot=function(){return o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"dot\",dotType:\"circle\"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:\"line\"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch(\"hover\");function r(){var e=t.legendConfig,i=t.data.map(function(t,r){return[].concat(t).map(function(t,n){var i=a({},e.elements[r]);return i.name=t,i.color=[].concat(e.elements[r].color)[n],i})}),o=n.merge(i);o=o.filter(function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||\"undefined\"==typeof e.elements[r].visibleInLegend)}),e.reverseOrder&&(o=o.reverse());var s=e.container;(\"string\"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map(function(t,e){return t.color}),c=e.fontSize,u=null==e.isContinuous?\"number\"==typeof o[0]:e.isContinuous,h=u?e.height:c*o.length,f=s.classed(\"legend-group\",!0).selectAll(\"svg\").data([0]),p=f.enter().append(\"svg\").attr({width:300,height:h+c,xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\",version:\"1.1\"});p.append(\"g\").classed(\"legend-axis\",!0),p.append(\"g\").classed(\"legend-marks\",!0);var d=n.range(o.length),g=n.scale[u?\"linear\":\"ordinal\"]().domain(d).range(l),v=n.scale[u?\"linear\":\"ordinal\"]().domain(d)[u?\"range\":\"rangePoints\"]([0,h]);if(u){var m=f.select(\".legend-marks\").append(\"defs\").append(\"linearGradient\").attr({id:\"grad1\",x1:\"0%\",y1:\"0%\",x2:\"0%\",y2:\"100%\"}).selectAll(\"stop\").data(l);m.enter().append(\"stop\"),m.attr({offset:function(t,e){return e/(l.length-1)*100+\"%\"}}).style({\"stop-color\":function(t,e){return t}}),f.append(\"rect\").classed(\"legend-mark\",!0).attr({height:e.height,width:e.colorBandWidth,fill:\"url(#grad1)\"})}else{var y=f.select(\".legend-marks\").selectAll(\"path.legend-mark\").data(o);y.enter().append(\"path\").classed(\"legend-mark\",!0),y.attr({transform:function(t,e){return\"translate(\"+[c/2,v(e)+c/2]+\")\"},d:function(t,e){var r,a,i,o=t.symbol;return i=3*(a=c),\"line\"===(r=o)?\"M\"+[[-a/2,-a/12],[a/2,-a/12],[a/2,a/12],[-a/2,a/12]]+\"Z\":-1!=n.svg.symbolTypes.indexOf(r)?n.svg.symbol().type(r).size(i)():n.svg.symbol().type(\"square\").size(i)()},fill:function(t,e){return g(e)}}),y.exit().remove()}var x=n.svg.axis().scale(v).orient(\"right\"),b=f.select(\"g.legend-axis\").attr({transform:\"translate(\"+[u?e.colorBandWidth:c,c/2]+\")\"}).call(x);return b.selectAll(\".domain\").style({fill:\"none\",stroke:\"none\"}),b.selectAll(\"line\").style({fill:\"none\",stroke:u?e.textColor:\"none\"}),b.selectAll(\"text\").style({fill:e.textColor,\"font-size\":e.fontSize}).text(function(t,e){return o[e].name}),r}return r.config=function(e){return arguments.length?(a(t,e),this):t},n.rebind(r,e,\"on\"),r},o.Legend.defaultConfig=function(t,e){return{data:[\"a\",\"b\",\"c\"],legendConfig:{elements:[{symbol:\"line\",color:\"red\"},{symbol:\"square\",color:\"yellow\"},{symbol:\"diamond\",color:\"limegreen\"}],height:150,colorBandWidth:30,fontSize:12,container:\"body\",isContinuous:null,textColor:\"grey\",reverseOrder:!1}}},o.tooltipPanel=function(){var t,e,r,i={container:null,hasTick:!1,fontSize:12,color:\"white\",padding:5},s=\"tooltip-\"+o.tooltipPanel.uid++,l=10,c=function(){var n=(t=i.container.selectAll(\"g.\"+s).data([0])).enter().append(\"g\").classed(s,!0).style({\"pointer-events\":\"none\",display:\"none\"});return r=n.append(\"path\").style({fill:\"white\",\"fill-opacity\":.9}).attr({d:\"M0 0\"}),e=n.append(\"text\").attr({dx:i.padding+l,dy:.3*+i.fontSize}),c};return c.text=function(a){var o=n.hsl(i.color).l,s=o>=.5?\"#aaa\":\"white\",u=o>=.5?\"black\":\"white\",h=a||\"\";e.style({fill:u,\"font-size\":i.fontSize+\"px\"}).text(h);var f=i.padding,p=e.node().getBBox(),d={fill:i.color,stroke:s,\"stroke-width\":\"2px\"},g=p.width+2*f+l,v=p.height+2*f;return r.attr({d:\"M\"+[[l,-v/2],[l,-v/4],[i.hasTick?0:l,0],[l,v/4],[l,v/2],[g,v/2],[g,-v/2]].join(\"L\")+\"Z\"}).style(d),t.attr({transform:\"translate(\"+[l,-v/2+2*f]+\")\"}),t.style({display:\"block\"}),c},c.move=function(e){if(t)return t.attr({transform:\"translate(\"+[e[0],e[1]]+\")\"}).style({display:\"block\"}),c},c.hide=function(){if(t)return t.style({display:\"none\"}),c},c.show=function(){if(t)return t.style({display:\"block\"}),c},c.config=function(t){return a(i,t),c},c},o.tooltipPanel.uid=1,o.adapter={},o.adapter.plotly=function(){var t={convert:function(t,e){var r={};if(t.data&&(r.data=t.data.map(function(t,r){var n=a({},t);return[[n,[\"marker\",\"color\"],[\"color\"]],[n,[\"marker\",\"opacity\"],[\"opacity\"]],[n,[\"marker\",\"line\",\"color\"],[\"strokeColor\"]],[n,[\"marker\",\"line\",\"dash\"],[\"strokeDash\"]],[n,[\"marker\",\"line\",\"width\"],[\"strokeSize\"]],[n,[\"marker\",\"symbol\"],[\"dotType\"]],[n,[\"marker\",\"size\"],[\"dotSize\"]],[n,[\"marker\",\"barWidth\"],[\"barWidth\"]],[n,[\"line\",\"interpolation\"],[\"lineInterpolation\"]],[n,[\"showlegend\"],[\"visibleInLegend\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e||delete n.marker,e&&delete n.groupId,e?(\"LinePlot\"===n.geometry?(n.type=\"scatter\",!0===n.dotVisible?(delete n.dotVisible,n.mode=\"lines+markers\"):n.mode=\"lines\"):\"DotPlot\"===n.geometry?(n.type=\"scatter\",n.mode=\"markers\"):\"AreaChart\"===n.geometry?n.type=\"area\":\"BarChart\"===n.geometry&&(n.type=\"bar\"),delete n.geometry):(\"scatter\"===n.type?\"lines\"===n.mode?n.geometry=\"LinePlot\":\"markers\"===n.mode?n.geometry=\"DotPlot\":\"lines+markers\"===n.mode&&(n.geometry=\"LinePlot\",n.dotVisible=!0):\"area\"===n.type?n.geometry=\"AreaChart\":\"bar\"===n.type&&(n.geometry=\"BarChart\"),delete n.mode,delete n.type),n}),!e&&t.layout&&\"stack\"===t.layout.barmode)){var i=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=i.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)})}if(t.layout){var s=a({},t.layout);if([[s,[\"plot_bgcolor\"],[\"backgroundColor\"]],[s,[\"showlegend\"],[\"showLegend\"]],[s,[\"radialaxis\"],[\"radialAxis\"]],[s,[\"angularaxis\"],[\"angularAxis\"]],[s.angularaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularaxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularaxis,[\"nticks\"],[\"ticksCount\"]],[s.angularaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularaxis,[\"range\"],[\"domain\"]],[s.angularaxis,[\"endpadding\"],[\"endPadding\"]],[s.radialaxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialaxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialaxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialaxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.angularAxis,[\"showticklabels\"],[\"labelsVisible\"]],[s.angularAxis,[\"nticks\"],[\"ticksCount\"]],[s.angularAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.angularAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.angularAxis,[\"range\"],[\"domain\"]],[s.angularAxis,[\"endpadding\"],[\"endPadding\"]],[s.radialAxis,[\"showline\"],[\"gridLinesVisible\"]],[s.radialAxis,[\"tickorientation\"],[\"tickOrientation\"]],[s.radialAxis,[\"ticksuffix\"],[\"ticksSuffix\"]],[s.radialAxis,[\"range\"],[\"domain\"]],[s.font,[\"outlinecolor\"],[\"outlineColor\"]],[s.legend,[\"traceorder\"],[\"reverseOrder\"]],[s,[\"labeloffset\"],[\"labelOffset\"]],[s,[\"defaultcolorrange\"],[\"defaultColorRange\"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?(\"undefined\"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&\"undefined\"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&\"undefined\"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&\"boolean\"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder=\"normal\"!=s.legend.reverseOrder),s.legend&&\"boolean\"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?\"reversed\":\"normal\",delete s.legend.reverseOrder),s.margin&&\"undefined\"!=typeof s.margin.t){var l=[\"t\",\"r\",\"b\",\"l\",\"pad\"],c=[\"top\",\"right\",\"bottom\",\"left\",\"pad\"],u={};n.entries(s.margin).forEach(function(t,e){u[c[l.indexOf(t.key)]]=t.value}),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{\"../../../constants/alignment\":686,\"../../../lib\":717,d3:165}],836:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../../lib\"),i=t(\"../../../components/color\"),o=t(\"./micropolar\"),s=t(\"./undo_manager\"),l=a.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,a,i,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(\".svg-container>*:not(.chart-root)\").remove(),e=e?l(e,r):r,a||(a=o.Axis()),i=o.adapter.plotly().convert(e),a.config(i).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return a.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(a.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:a.angularScale(),r:a.radialScale()}},f.setUndoPoint=function(){var t,n,a=this,i=o.util.cloneJson(e);t=i,n=r,h.add({undo:function(){n&&a(n)},redo:function(){a(t)}}),r=o.util.cloneJson(i)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(\".plot-container\"),r=e.selectAll(\".svg-container\"),a=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:i.background,_container:e,_paperdiv:r,_paper:a};t._fullLayout=l(o,t.layout)}},{\"../../../components/color\":591,\"../../../lib\":717,\"./micropolar\":835,\"./undo_manager\":837,d3:165}],837:[function(t,e,r){\"use strict\";e.exports=function(){var t,e=[],r=-1,n=!1;function a(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n?this:(e.splice(r+1,e.length-r),e.push(t),r=e.length-1,this)},setCallback:function(e){t=e},undo:function(){var n=e[r];return n?(a(n,\"undo\"),r-=1,t&&t(n.undo),this):this},redo:function(){var n=e[r+1];return n?(a(n,\"redo\"),r+=1,t&&t(n.redo),this):this},clear:function(){e=[],r=-1},hasUndo:function(){return-1!==r},hasRedo:function(){return r<e.length-1},getCommands:function(){return e},getPreviousCommand:function(){return e[r-1]},getIndex:function(){return r}}}},{}],838:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=t(\"../../components/color\"),l=t(\"../../components/drawing\"),c=t(\"../plots\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../cartesian/set_convert\"),f=t(\"./set_convert\"),p=t(\"../cartesian/autorange\").doAutoRange,d=t(\"../cartesian/dragbox\"),g=t(\"../../components/dragelement\"),v=t(\"../../components/fx\"),m=t(\"../../components/titles\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").selectOnClick,b=t(\"../cartesian/select\").clearSelect,_=t(\"../../lib/setcursor\"),w=t(\"../../lib/clear_gl_canvases\"),k=t(\"../../plot_api/subroutines\").redrawReglTraces,T=t(\"../../constants/alignment\").MID_SHIFT,M=t(\"./constants\"),A=t(\"./helpers\"),S=o._,E=o.mod,L=o.deg2rad,C=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n=\"clip\"+r._uid+e;this.clipIds.forTraces=n+\"-for-traces\",this.clipPaths.forTraces=r._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=r._polarlayer.append(\"g\").attr(\"class\",e),this.radialTickLayout=null,this.angularTickLayout=null}var O=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function I(t,e){return e[o.findIndexOfMin(e,function(e){return o.angleDist(t,e)})]}function D(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}function R(t,e){return\"translate(\"+t+\",\"+e+\")\"}function F(t){return\"rotate(\"+t+\")\"}e.exports=function(t,e){return new P(t,e)},O.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var n=0;n<t.length;n++){if(!1===t[n][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(e,r),this.updateLayout(e,r),c.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r)},O.updateLayers=function(t,e){var r=this.layers,a=e.radialaxis,i=e.angularaxis,o=M.layerNames,s=o.indexOf(\"frontplot\"),l=o.slice(0,s),c=\"below traces\"===i.layer,u=\"below traces\"===a.layer;c&&l.push(\"angular-line\"),u&&l.push(\"radial-line\"),c&&l.push(\"angular-axis\"),u&&l.push(\"radial-axis\"),l.push(\"frontplot\"),c||l.push(\"angular-line\"),u||l.push(\"radial-line\"),c||l.push(\"angular-axis\"),u||l.push(\"radial-axis\");var h=this.framework.selectAll(\".polarsublayer\").data(l,String);h.enter().append(\"g\").attr(\"class\",function(t){return\"polarsublayer \"+t}).each(function(t){var e=r[t]=n.select(this);switch(t){case\"frontplot\":e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":r.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}}),h.order()},O.updateLayout=function(t,e){var r=this.layers,n=t._size,a=e.radialaxis,i=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(L);var p,d,g,v,m,y=this.sectorBBox=function(t){var e,r,n,a,i=t[0],o=t[1]-i,s=E(i,360),l=s+o,c=Math.cos(L(s)),u=Math.sin(L(s)),h=Math.cos(L(l)),f=Math.sin(L(l));a=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,a]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,m=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],v=[c[0]+m,c[1]-m]):(d=h,m=(u-(p=h/w))/n.w/2,g=[o[0]+m,o[1]-m],v=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*g[0],T=this.yOffset2=n.t+n.h*(1-v[1]),M=this.radius=p/x,A=this.innerRadius=e.hole*M,S=this.cx=k-M*y[0],C=this.cy=T+M*y[3],P=this.cxx=S-k,O=this.cyy=C-T;this.radialAxis=this.mockAxis(t,e,a,{_id:\"x\",side:{counterclockwise:\"top\",clockwise:\"bottom\"}[a.side],domain:[A/n.w,M/n.w]}),this.angularAxis=this.mockAxis(t,e,i,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",R(P,O)),r.frontplot.attr(\"transform\",R(k,T)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",R(S,C)).call(s.fill,e.bgcolor)},O.mockAxis=function(t,e,r,n){var a=o.extendFlat({},r,n);return f(a,e,t),a},O.mockCartesianAxis=function(t,e,r){var n=this,a=r._id,i=o.extendFlat({type:\"linear\"},r);h(i,t);var s={x:[0,2],y:[1,3]};return i.setRange=function(){var t=n.sectorBBox,r=s[a],o=n.radialAxis._rl,l=(o[1]-o[0])/(1-e.hole);i.range=[t[r[0]]*l,t[r[1]]*l]},i.isPtWithinRange=\"x\"===a?function(t){return n.isPtInside(t)}:function(){return!0},i.setRange(),i.setScale(),i},O.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,a=e.radialaxis;n.setScale(),p(r,n);var i=n.range;a.range=i.slice(),a._input.range=i.slice(),n._rl=[n.r2l(i[0],null,\"gregorian\"),n.r2l(i[1],null,\"gregorian\")]},O.updateRadialAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.radialaxis,p=E(e.sector[0],360),d=r.radialAxis,g=l<i;r.fillViewInitialKey(\"radialaxis.angle\",f.angle),r.fillViewInitialKey(\"radialaxis.range\",d.range.slice()),d.setGeometry(),\"auto\"===d.tickangle&&p>90&&p<=270&&(d.tickangle=180);var v=function(t){return\"translate(\"+(d.l2p(t.x)+l)+\",0)\"},m=z(f);if(r.radialTickLayout!==m&&(a[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=m),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:a[\"radial-axis\"],path:u.makeTickPath(d,0,b),transFn:v,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:a[\"radial-grid\"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:a[\"radial-axis\"],transFn:v,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?C(I(L(f.angle),r.vangles)):f.angle,w=R(c,h),k=w+F(-_);D(a[\"radial-axis\"],g&&(f.showticklabels||f.ticks),{transform:k}),D(a[\"radial-grid\"],g&&f.showgrid,{transform:w}),D(a[\"radial-line\"].select(\"line\"),g&&f.showline,{x1:l,y1:0,x2:i,y2:0,transform:k}).attr(\"stroke-width\",f.linewidth).call(s.stroke,f.linecolor)},O.updateRadialAxisTitle=function(t,e,r){var n=this.gd,a=this.radius,i=this.cx,o=this.cy,s=e.radialaxis,c=this.id+\"title\",u=void 0!==r?r:this.radialAxisAngle,h=L(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers[\"radial-axis\"].node()).height,v=s.title.font.size;d=\"counterclockwise\"===s.side?-g-.4*v:g+.8*v}this.layers[\"radial-axis-title\"]=m.draw(n,c,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:S(n,\"Click to enter radial axis title\"),attributes:{x:i+a/2*f+d*p,y:o-a/2*p+d*f,\"text-anchor\":\"middle\"},transform:{rotate:-u}})},O.updateAngularAxis=function(t,e){var r=this,n=r.gd,a=r.layers,i=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey(\"angularaxis.rotation\",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};\"linear\"===p.type&&\"radians\"===p.thetaunit&&(p.tick0=C(p.tick0),p.dtick=C(p.dtick));var g=function(t){return 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strict\";var n=t(\"../../components/color\"),a=t(\"../../plot_api/plot_template\"),i=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"../cartesian/tick_label_defaults\"),l=t(\"../cartesian/tick_mark_defaults\"),c=t(\"../cartesian/tick_value_defaults\"),u=t(\"../cartesian/line_grid_defaults\"),h=t(\"./layout_attributes\"),f=[\"aaxis\",\"baxis\",\"caxis\"];function p(t,e,r,i){var o,s,l,c=r(\"bgcolor\"),u=r(\"sum\");i.bgColor=n.combine(c,i.paper_bgcolor);for(var h=0;h<f.length;h++)s=t[o=f[h]]||{},(l=a.newContainer(e,o))._name=o,d(s,l,i,e);var p=e.aaxis,g=e.baxis,v=e.caxis;p.min+g.min+v.min>=u&&(p.min=0,g.min=0,v.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function d(t,e,r,n){var a=h[e._name];function o(r,n){return i.coerce(t,e,a,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var f=o(\"color\"),p=f!==a.color.dflt?f:r.font.color,d=e._name.charAt(0).toUpperCase(),g=\"Component 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n=t(\"d3\"),a=t(\"tinycolor2\"),i=t(\"../../registry\"),o=t(\"../../lib\"),s=o._,l=t(\"../../components/color\"),c=t(\"../../components/drawing\"),u=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,f=t(\"../plots\"),p=t(\"../cartesian/axes\"),d=t(\"../../components/dragelement\"),g=t(\"../../components/fx\"),v=t(\"../../components/titles\"),m=t(\"../cartesian/select\").prepSelect,y=t(\"../cartesian/select\").selectOnClick,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/constants\");function _(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=_;var w=_.prototype;w.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},w.plot=function(t,e){var r=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++){if(!1===t[a][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),f.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(l.fill,r.bgcolor)},w.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,a=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")}),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")}),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),c.setClipUrl(this.layers.backplot,n,e),c.setClipUrl(this.layers.grids,n,e)},w.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below 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r,n,a,i,o,s,f=this,p=t.domain,d=(p.x[0]+p.x[1])/2,g=(p.y[0]+p.y[1])/2,v=p.x[1]-p.x[0],m=p.y[1]-p.y[0],y=v*e.w,x=m*e.h,b=t.sum,_=t.aaxis.min,w=t.baxis.min,T=t.caxis.min;y>k*x?a=(i=x)*k:i=(a=y)/k,o=v*a/y,s=m*i/x,r=e.l+e.w*d-a/2,n=e.t+e.h*(1-g)-i/2,f.x0=r,f.y0=n,f.w=a,f.h=i,f.sum=b,f.xaxis={type:\"linear\",range:[_+2*T-b,b-_-2*w],domain:[d-o/2,d+o/2],_id:\"x\"},u(f.xaxis,f.graphDiv._fullLayout),f.xaxis.setScale(),f.xaxis.isPtWithinRange=function(t){return t.a>=f.aaxis.range[0]&&t.a<=f.aaxis.range[1]&&t.b>=f.baxis.range[1]&&t.b<=f.baxis.range[0]&&t.c>=f.caxis.range[1]&&t.c<=f.caxis.range[0]},f.yaxis={type:\"linear\",range:[_,b-w-T],domain:[g-s/2,g+s/2],_id:\"y\"},u(f.yaxis,f.graphDiv._fullLayout),f.yaxis.setScale(),f.yaxis.isPtWithinRange=function(){return!0};var M=f.yaxis.domain[0],A=f.aaxis=h({},t.aaxis,{range:[_,b-w-T],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[M,M+s*k],anchor:\"free\",position:0,_id:\"y\",_length:a});u(A,f.graphDiv._fullLayout),A.setScale();var S=f.baxis=h({},t.baxis,{range:[b-_-T,w],side:\"bottom\",domain:f.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:a});u(S,f.graphDiv._fullLayout),S.setScale();var E=f.caxis=h({},t.caxis,{range:[b-_-w,T],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[M,M+s*k],anchor:\"free\",position:0,_id:\"y\",_length:a});u(E,f.graphDiv._fullLayout),E.setScale();var L=\"M\"+r+\",\"+(n+i)+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDef.select(\"path\").attr(\"d\",L),f.layers.plotbg.select(\"path\").attr(\"d\",L);var C=\"M0,\"+i+\"h\"+a+\"l-\"+a/2+\",-\"+i+\"Z\";f.clipDefRelative.select(\"path\").attr(\"d\",C);var P=\"translate(\"+r+\",\"+n+\")\";f.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),f.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=\"translate(\"+(r-S._offset)+\",\"+(n+i)+\")\";f.layers.baxis.attr(\"transform\",O),f.layers.bgrid.attr(\"transform\",O);var 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I=\"translate(\"+(r+a/2)+\",\"+n+\")rotate(-30)translate(0,\"+-E._offset+\")\";f.layers.caxis.attr(\"transform\",I),f.layers.cgrid.attr(\"transform\",I),f.drawAxes(!0),f.layers.aline.select(\"path\").attr(\"d\",A.showline?\"M\"+r+\",\"+(n+i)+\"l\"+a/2+\",-\"+i:\"M0,0\").call(l.stroke,A.linecolor||\"#000\").style(\"stroke-width\",(A.linewidth||0)+\"px\"),f.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+i)+\"h\"+a:\"M0,0\").call(l.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),f.layers.cline.select(\"path\").attr(\"d\",E.showline?\"M\"+(r+a/2)+\",\"+n+\"l\"+a/2+\",\"+i:\"M0,0\").call(l.stroke,E.linecolor||\"#000\").style(\"stroke-width\",(E.linewidth||0)+\"px\"),f.graphDiv._context.staticPlot||f.initInteractions(),c.setClipUrl(f.layers.frontplot,f._hasClipOnAxisFalse?null:f.clipId,f.graphDiv)},w.drawAxes=function(t){var 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T=b.MINZOOM/2+.87,M=\"m-0.87,.5h\"+T+\"v3h-\"+(T+5.2)+\"l\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l2.6,1.5l-\"+T/2+\",\"+.87*T+\"Z\",A=\"m0.87,.5h-\"+T+\"v3h\"+(T+5.2)+\"l-\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l-2.6,1.5l\"+T/2+\",\"+.87*T+\"Z\",S=\"m0,1l\"+T/2+\",\"+.87*T+\"l2.6,-1.5l-\"+(T/2+2.6)+\",-\"+(.87*T+4.5)+\"l-\"+(T/2+2.6)+\",\"+(.87*T+4.5)+\"l2.6,1.5l\"+T/2+\",-\"+.87*T+\"Z\",E=\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2Z\",L=!0;function C(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}w.initInteractions=function(){var t,e,r,n,u,h,f,p,v,_,w=this,T=w.layers.plotbg.select(\"path\").node(),P=w.graphDiv,O=P._fullLayout._zoomlayer,z={element:T,gd:P,plotinfo:{id:w.id,xaxis:w.xaxis,yaxis:w.yaxis},subplot:w.id,prepFn:function(i,o,s){z.xaxes=[w.xaxis],z.yaxes=[w.yaxis];var c=P._fullLayout.dragmode;z.minDrag=\"lasso\"===c?1:void 0,\"zoom\"===c?(z.moveFn=N,z.clickFn=D,z.doneFn=j,function(i,o,s){var c=T.getBoundingClientRect();t=o-c.left,e=s-c.top,r={a:w.aaxis.range[0],b:w.baxis.range[1],c:w.caxis.range[1]},u=r,n=w.aaxis.range[1]-r.a,h=a(w.graphDiv._fullLayout[w.id].bgcolor).getLuminance(),f=\"M0,\"+w.h+\"L\"+w.w/2+\", 0L\"+w.w+\",\"+w.h+\"Z\",p=!1,v=O.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",\"translate(\"+w.x0+\", \"+w.y0+\")\").style({fill:h>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",f),_=O.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",\"translate(\"+w.x0+\", \"+w.y0+\")\").style({fill:l.background,stroke:l.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),x(P)}(0,o,s)):\"pan\"===c?(z.moveFn=V,z.clickFn=D,z.doneFn=U,r={a:w.aaxis.range[0],b:w.baxis.range[1],c:w.caxis.range[1]},u=r,x(P)):\"select\"!==c&&\"lasso\"!==c||m(i,o,s,z,c)}};function I(t){var e={};return e[w.id+\".aaxis.min\"]=t.a,e[w.id+\".baxis.min\"]=t.b,e[w.id+\".caxis.min\"]=t.c,e}function D(t,e){var r=P._fullLayout.clickmode;C(P),2===t&&(P.emit(\"plotly_doubleclick\",null),i.call(\"_guiRelayout\",P,I({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&y(e,P,[w.xaxis],[w.yaxis],w.id,z),r.indexOf(\"event\")>-1&&g.click(P,e,w.id)}function R(t,e){return 1-e/w.h}function F(t,e){return 1-(t+(w.h-e)/Math.sqrt(3))/w.w}function B(t,e){return(t-(w.h-e)/Math.sqrt(3))/w.w}function N(a,i){var o=t+a,s=e+i,l=Math.max(0,Math.min(1,R(0,e),R(0,s))),c=Math.max(0,Math.min(1,F(t,e),F(o,s))),d=Math.max(0,Math.min(1,B(t,e),B(o,s))),g=(l/2+d)*w.w,m=(1-l/2-c)*w.w,y=(g+m)/2,x=m-g,T=(1-l)*w.h,L=T-x/k;x<b.MINZOOM?(u=r,v.attr(\"d\",f),_.attr(\"d\",\"M0,0Z\")):(u={a:r.a+l*n,b:r.b+c*n,c:r.c+d*n},v.attr(\"d\",f+\"M\"+g+\",\"+T+\"H\"+m+\"L\"+y+\",\"+L+\"L\"+g+\",\"+T+\"Z\"),_.attr(\"d\",\"M\"+t+\",\"+e+E+\"M\"+g+\",\"+T+M+\"M\"+m+\",\"+T+A+\"M\"+y+\",\"+L+S)),p||(v.transition().style(\"fill\",h>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),_.transition().style(\"opacity\",1).duration(200),p=!0),P.emit(\"plotly_relayouting\",I(u))}function j(){C(P),u!==r&&(i.call(\"_guiRelayout\",P,I(u)),L&&P.data&&P._context.showTips&&(o.notifier(s(P,\"Double-click to zoom back out\"),\"long\"),L=!1))}function V(t,e){var 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n=t(\"../choropleth/attributes\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:i({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841,\"../choropleth/attributes\":924}],934:[function(t,e,r){\"use 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l=s.cd,c=l[0].trace,u=\"h\"===c.orientation,h=l[s.index];s[(u?\"x\":\"y\")+\"LabelVal\"]=h.s,s.percentInitial=h.begR,s.percentInitialLabel=i(h.begR,1),s.percentPrevious=h.difR,s.percentPreviousLabel=i(h.difR,1),s.percentTotal=h.sumR,s.percentTotalLabel=i(h.sumR,1);var f=h.hi||c.hoverinfo,p=[];if(f&&\"none\"!==f&&\"skip\"!==f){var d=\"all\"===f,g=f.split(\"+\"),v=function(t){return d||-1!==g.indexOf(t)};v(\"percent initial\")&&p.push(s.percentInitialLabel+\" of initial\"),v(\"percent previous\")&&p.push(s.percentPreviousLabel+\" of previous\"),v(\"percent total\")&&p.push(s.percentTotalLabel+\" of total\")}return s.extraText=p.join(\"<br>\"),s.color=function(t,e){var r=t.marker,a=e.mc||r.color,i=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(a))return a;if(n(i)&&o)return i}(c,h),[s]}}},{\"../../components/color\":591,\"../../lib\":717,\"../bar/hover\":863}],986:[function(t,e,r){\"use 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h=c(r,l,u,p),f=h[0],d=h[1],v=\"\";f[0]!==o&&d[0]!==o&&f[1]!==o&&d[1]!==o&&f[2]!==o&&d[2]!==o&&f[3]!==o&&d[3]!==o&&(v+=p?\"M\"+f[0]+\",\"+d[1]+\"L\"+f[2]+\",\"+d[2]+\"H\"+f[3]+\"L\"+f[1]+\",\"+d[1]+\"Z\":\"M\"+f[1]+\",\"+d[1]+\"L\"+f[2]+\",\"+d[3]+\"V\"+d[2]+\"L\"+f[1]+\",\"+d[0]+\"Z\"),\"\"===v&&(v=\"M0,0Z\"),a.ensureSingle(n.select(this),\"path\").attr(\"d\",v).call(i.setClipUrl,e.layerClipId,t)}})}else f.remove()})}(t,e,r,u),function(t,e,r,o){var s=e.xaxis,l=e.yaxis;a.makeTraceGroups(o,r,\"trace bars\").each(function(r){var o=n.select(this),u=r[0].trace,h=a.ensureSingle(o,\"g\",\"lines\");if(u.connector&&u.connector.visible&&u.connector.line.width){var f=\"h\"===u.orientation,p=h.selectAll(\"g.line\").data(a.identity);p.enter().append(\"g\").classed(\"line\",!0),p.exit().remove();var d=p.size();p.each(function(r,o){if(o===d-1||r.cNext){var u=c(r,s,l,f),h=u[0],p=u[1],g=\"\";void 0!==h[3]&&void 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s=r||n.select(t).selectAll(\"g.funnellayer\").selectAll(\"g.trace\");l(t,s,\"funnel\"),s.style(\"opacity\",function(t){return t[0].trace.opacity}),s.each(function(e){var r=n.select(this),s=e[0].trace;r.selectAll(\".point > path\").each(function(t){if(!t.isBlank){var e=s.marker;n.select(this).call(i.fill,t.mc||e.color).call(i.stroke,t.mlc||e.line.color).call(a.dashLine,e.line.dash,t.mlw||e.line.width).style(\"opacity\",s.selectedpoints&&!t.selected?o:1)}}),c(r,s,t),r.selectAll(\".regions\").each(function(){n.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(i.fill,s.connector.fillcolor)}),r.selectAll(\".lines\").each(function(){var t=s.connector.line;a.lineGroupStyle(n.select(this).selectAll(\"path\"),t.width,t.color,t.dash)})})}}},{\"../../components/color\":591,\"../../components/drawing\":612,\"../../constants/interactions\":692,\"../bar/style\":870,\"../bar/uniform_text\":872,d3:165}],991:[function(t,e,r){\"use strict\";var n=t(\"../pie/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},a.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),a=t(\"./attributes\"),i=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,a,r,i)}var u=c(\"labels\"),h=c(\"values\"),f=s(u,h),p=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),v=c(\"texttemplate\");if(v||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),v||d&&\"none\"!==d){var m=c(\"textposition\");o(t,e,l,c,m,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}i(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else 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n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1101}],997:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":717,\"./layout_attributes\":996}],998:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/drawing\"),i=t(\"../../lib\"),o=t(\"../../lib/svg_text_utils\"),s=t(\"../bar/plot\").toMoveInsideBar,l=t(\"../bar/uniform_text\"),c=l.recordMinTextSize,u=l.clearMinTextSize,h=t(\"../pie/helpers\"),f=t(\"../pie/plot\"),p=f.attachFxHandlers,d=f.determineInsideTextFont,g=f.layoutAreas,v=f.prerenderTitles,m=f.positionTitleOutside,y=f.formatSliceLabel;function 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M=p[T+=1][0],A=p[T][1];f.TL=[-M,A],f.TR=[M,A],f.BL=w,f.BR=k,f.pxmid=(S=f.TR,E=f.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=f.TL,k=f.TR}var S,E}(e),l.each(function(){var l=n.select(this).selectAll(\"g.slice\").data(e);l.enter().append(\"g\").classed(\"slice\",!0),l.exit().remove(),l.each(function(l,g){if(l.hidden)n.select(this).selectAll(\"path,g\").remove();else{l.pointNumber=l.i,l.curveNumber=f.index;var v=u.cx,m=u.cy,b=n.select(this),_=b.selectAll(\"path.surface\").data([l]);_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),b.call(p,t,e);var w=\"M\"+(v+l.TR[0])+\",\"+(m+l.TR[1])+x(l.TR,l.BR)+x(l.BR,l.BL)+x(l.BL,l.TL)+\"Z\";_.attr(\"d\",w),y(t,l,u);var k=h.castOption(f.textposition,l.pts),T=b.selectAll(\"g.slicetext\").data(l.text&&\"none\"!==k?[0]:[]);T.enter().append(\"g\").classed(\"slicetext\",!0),T.exit().remove(),T.each(function(){var u=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),h=i.ensureUniformFontSize(t,d(f,l,r.font));u.text(l.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,h).call(o.convertToTspans,t);var p,y,x,b=a.bBox(u.node()),_=Math.min(l.BL[1],l.BR[1])+m,w=Math.max(l.TL[1],l.TR[1])+m;y=Math.max(l.TL[0],l.BL[0])+v,x=Math.min(l.TR[0],l.BR[0])+v,(p=s(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=h.size,c(f.type,p,r),e[g].transform=p,u.attr(\"transform\",i.getTextTransform(p))})}});var g=n.select(this).selectAll(\"g.titletext\").data(f.title.text?[0]:[]);g.enter().append(\"g\").classed(\"titletext\",!0),g.exit().remove(),g.each(function(){var e=i.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),s=f.title.text;f._meta&&(s=i.templateString(s,f._meta)),e.text(s).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(a.font,f.title.font).call(o.convertToTspans,t);var l=m(u,r._size);e.attr(\"transform\",\"translate(\"+l.x+\",\"+l.y+\")\"+(l.scale<1?\"scale(\"+l.scale+\")\":\"\")+\"translate(\"+l.tx+\",\"+l.ty+\")\")})})})}},{\"../../components/drawing\":612,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../bar/plot\":867,\"../bar/uniform_text\":872,\"../pie/helpers\":1099,\"../pie/plot\":1103,d3:165}],999:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../pie/style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._funnelarealayer.selectAll(\".trace\");i(t,e,\"funnelarea\"),e.each(function(t){var 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n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=(t(\"../../constants/docs\").FORMAT_LINK,t(\"../../lib/extend\").extendFlat);e.exports=s({z:{valType:\"data_array\",editType:\"calc\"},x:s({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:s({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:s({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:s({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:s({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:s({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},zhoverformat:{valType:\"string\",dflt:\"\",editType:\"none\"},hovertemplate:i(),showlegend:s({},a.showlegend,{dflt:!1})},{transforms:void 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n=t(\"d3\"),a=t(\"../../lib\"),i=a.rad2deg,o=t(\"../../constants/alignment\").MID_SHIFT,s=t(\"../../components/drawing\"),l=t(\"./constants\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../../plots/cartesian/axes\"),h=t(\"../../plots/cartesian/axis_defaults\"),f=t(\"../../plots/cartesian/position_defaults\"),p=t(\"../../plots/cartesian/layout_attributes\"),d=t(\"../../components/color\"),g={left:\"start\",center:\"middle\",right:\"end\"},v={left:0,center:.5,right:1},m=/[yzafpn\\xb5mkMGTPEZY]/;function y(t){return t&&t.duration>0}function x(t){t.each(function(t){d.stroke(n.select(this),t.line.color)}).each(function(t){d.fill(n.select(this),t.color)}).style(\"stroke-width\",function(t){return t.line.width})}function b(t,e,r){var n=t._fullLayout,i=a.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},e),o={type:\"linear\",_id:\"x\"+e._id},s={letter:\"x\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return a.coerce(i,o,p,t,e)}return h(i,o,l,s,n),f(i,o,l,s),o}function _(t,e){return\"translate(\"+t+\",\"+e+\")\"}function w(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function k(t,e,r,a){var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(i);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(c.convertToTspans,a).call(s.font,e),s.bBox(o.node())}function T(t,e,r,n,i,o){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=a.aggNums(o,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,h){var f,p=t._fullLayout;y(r)&&h&&(f=h()),a.makeTraceGroups(p._indicatorlayer,e,\"trace\").each(function(e){var h,M,A,S,E,L=e[0].trace,C=n.select(this),P=L._hasGauge,O=L._isAngular,z=L._isBullet,I=L.domain,D={w:p._size.w*(I.x[1]-I.x[0]),h:p._size.h*(I.y[1]-I.y[0]),l:p._size.l+p._size.w*I.x[0],r:p._size.r+p._size.w*(1-I.x[1]),t:p._size.t+p._size.h*(1-I.y[1]),b:p._size.b+p._size.h*I.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=L.align||\"center\";if(M=F,P){if(O&&(h=R,M=F+B/2,A=function(t){return e=t,r=.9*N,n=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),[r/n,e,r];var e,r,n}),z){var V=l.bulletPadding,U=1-l.bulletNumberDomainSize+V;h=D.l+(U+(1-U)*v[j])*D.w,A=function(t){return w(t,(l.bulletNumberDomainSize-V)*D.w,D.h)}}}else h=D.l+v[j]*D.w,A=function(t){return w(t,D.w,D.h)};!function(t,e,r,i){var o,l,h,f=r[0].trace,p=i.numbersX,x=i.numbersY,w=f.align||\"center\",M=g[w],A=i.transitionOpts,S=i.onComplete,E=a.ensureSingle(e,\"g\",\"numbers\"),L=[];f._hasNumber&&L.push(\"number\");f._hasDelta&&(L.push(\"delta\"),\"left\"===f.delta.position&&L.reverse());var C=E.selectAll(\"text\").data(L);function P(e,r,n,a){if(!e.match(\"s\")||n>=0==a>=0||r(n).slice(-1).match(m)||r(a).slice(-1).match(m))return r;var i=e.slice().replace(\"s\",\"f\").replace(/\\d+/,function(t){return parseInt(t)-1}),o=b(t,{tickformat:i});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}C.enter().append(\"text\"),C.attr(\"text-anchor\",function(){return M}).attr(\"class\",function(t){return t}).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),C.exit().remove();var O,z=f.mode+f.align;f._hasDelta&&(O=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=function(t){var e=f.delta.relative?t.relativeDelta:t.delta;return e},o=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 0===f._deltaLastValue&&(f._deltaLastValue=i(r[0]));var p=E.select(\"text.delta\");function g(){p.text(o(i(r[0]),a)).call(d.fill,h(r[0])).call(c.convertToTspans,t)}p.call(s.font,f.delta.font).call(d.fill,h({delta:f._deltaLastValue})),y(A)?p.transition().duration(A.duration).ease(A.easing).tween(\"text\",function(){var t=n.select(this),e=i(r[0]),s=f._deltaLastValue,l=P(f.delta.valueformat,a,s,e),c=n.interpolateNumber(s,e);return f._deltaLastValue=e,function(e){t.text(o(c(e),l)),t.call(d.fill,h({delta:c(e)}))}}).each(\"end\",function(){g(),S&&S()}).each(\"interrupt\",function(){g(),S&&S()}):g();return l=k(o(i(r[0]),a),f.delta.font,M,t),p}(),z+=f.delta.position+f.delta.font.size+f.delta.font.family+f.delta.valueformat,z+=f.delta.increasing.symbol+f.delta.decreasing.symbol,h=l);f._hasNumber&&(!function(){var e=b(t,{tickformat:f.number.valueformat},f._range);e.setScale(),u.prepTicks(e);var a=function(t){return u.tickText(e,t).text},i=f.number.suffix,l=f.number.prefix,h=E.select(\"text.number\");function p(){var e=\"number\"==typeof r[0].y?l+a(r[0].y)+i:\"-\";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(A)?h.transition().duration(A.duration).ease(A.easing).each(\"end\",function(){p(),S&&S()}).each(\"interrupt\",function(){p(),S&&S()}).attrTween(\"text\",function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,a,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+i)}}):p();o=k(l+a(r[0].y)+i,f.number.font,M,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var 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t=i.numbersScaler(h);z+=t[2];var e,r=T(f,\"numbersScale\",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];\"center\"===w&&(n=(h.left+h.right)/2);var a=p-r*n;return _(a=T(f,\"numbersTranslate\",0,a,z,Math.max),e)+\" scale(\"+r+\")\"})}(t,C,e,{numbersX:h,numbersY:M,numbersScaler:A,transitionOpts:r,onComplete:f}),P&&(S={range:L.gauge.axis.range,color:L.gauge.bgcolor,line:{color:L.gauge.bordercolor,width:0},thickness:1},E={range:L.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:L.gauge.bordercolor,width:L.gauge.borderwidth},thickness:1});var q=C.selectAll(\"g.angular\").data(O?e:[]);q.exit().remove();var H=C.selectAll(\"g.angularaxis\").data(O?e:[]);H.exit().remove(),O&&function(t,e,r,a){var s,l,c,h,f=r[0].trace,p=a.size,d=a.radius,g=a.innerRadius,v=a.gaugeBg,m=a.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],k=a.gauge,T=a.layer,M=a.transitionOpts,A=a.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=f.gauge.axis.range[1],n=(t-e)/(r-e)*Math.PI-S;return n<-S?-S:n>S?S:n}function L(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function C(t){t.attr(\"d\",function(t){return L(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()})}k.enter().append(\"g\").classed(\"angular\",!0),k.attr(\"transform\",_(w[0],w[1])),T.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),T.selectAll(\"g.xangularaxistick,path,text\").remove(),(s=b(t,f.gauge.axis)).type=\"linear\",s.range=f.gauge.axis.range,s._id=\"xangularaxis\",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},O={},z=u.makeLabelFns(s,0).labelStandoff;O.xFn=function(t){var e=P(t);return Math.cos(e)*z},O.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},O.anchorFn=function(t){var e=P(t),r=Math.cos(e);return 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j=N.select(\"path\");y(M)?(j.transition().duration(M.duration).ease(M.easing).each(\"end\",function(){A&&A()}).each(\"interrupt\",function(){A&&A()}).attrTween(\"d\",(V=B,U=E(r[0].lastY),q=E(r[0].y),function(){var t=n.interpolate(U,q);return function(e){return V.endAngle(t(e))()}})),f._lastValue=r[0].y):j.attr(\"d\",\"number\"==typeof r[0].y?B.endAngle(E(r[0].y)):\"M0,0Z\");var V,U,q;j.call(x),N.exit().remove(),R=[];var H=f.gauge.threshold.value;H&&R.push({range:[H,H],color:f.gauge.threshold.color,line:{color:f.gauge.threshold.line.color,width:f.gauge.threshold.line.width},thickness:f.gauge.threshold.thickness});var G=k.selectAll(\"g.threshold-arc\").data(R);G.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),G.select(\"path\").call(C).call(x),G.exit().remove();var Y=k.selectAll(\"g.gauge-outline\").data([m]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(C).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=C.selectAll(\"g.bullet\").data(z?e:[]);G.exit().remove();var Y=C.selectAll(\"g.bulletaxis\").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var a,i,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,v=n.gaugeOutline,m=n.size,_=h.domain,w=n.transitionOpts,k=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",\"translate(\"+m.l+\", \"+m.t+\")\"),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var T=m.h,M=h.gauge.bar.thickness*T,A=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(a=b(t,h.gauge.axis))._id=\"xbulletaxis\",a.domain=[A,S],a.setScale(),i=u.calcTicks(a),o=u.makeTransFn(a),s=u.getTickSigns(a)[2],c=m.t+m.h,a.visible&&(u.drawTicks(t,a,{vals:\"inside\"===a.ticks?u.clipEnds(a,i):i,layer:p,path:u.makeTickPath(a,c,s),transFn:o}),u.drawLabels(t,a,{vals:i,layer:p,transFn:o,labelFns:u.makeLabelFns(a,c)}));function E(t){t.attr(\"width\",function(t){return Math.max(0,a.c2p(t.range[1])-a.c2p(t.range[0]))}).attr(\"x\",function(t){return a.c2p(t.range[0])}).attr(\"y\",function(t){return.5*(1-t.thickness)*T}).attr(\"height\",function(t){return t.thickness*T})}var L=[g].concat(h.gauge.steps),C=f.selectAll(\"g.bg-bullet\").data(L);C.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),C.select(\"rect\").call(E).call(x),C.exit().remove();var P=f.selectAll(\"g.value-bullet\").data([h.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(T-M)/2).call(x),y(w)?P.select(\"rect\").transition().duration(w.duration).ease(w.easing).each(\"end\",function(){k&&k()}).each(\"interrupt\",function(){k&&k()}).attr(\"width\",Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,a.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var O=r.filter(function(){return h.gauge.threshold.value}),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",a.c2p(h.gauge.threshold.value)).attr(\"x2\",a.c2p(h.gauge.threshold.value)).attr(\"y1\",(1-h.gauge.threshold.thickness)/2*T).attr(\"y2\",(1-(1-h.gauge.threshold.thickness)/2)*T).call(d.stroke,h.gauge.threshold.line.color).style(\"stroke-width\",h.gauge.threshold.line.width),z.exit().remove();var I=f.selectAll(\"g.gauge-outline\").data([v]);I.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),I.select(\"rect\").call(E).call(x),I.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=C.selectAll(\"text.title\").data(e);W.exit().remove(),W.enter().append(\"text\").classed(\"title\",!0),W.attr(\"text-anchor\",function(){return 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r=\"slices.\"+t;i(r+\".show\")&&(i(r+\".fill\"),i(r+\".locations\"))}),i(\"spaceframe.show\")&&i(\"spaceframe.fill\"),i(\"surface.show\")&&(i(\"surface.count\"),i(\"surface.fill\"),i(\"surface.pattern\")),i(\"contour.show\")&&(i(\"contour.color\"),i(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach(function(t){i(t)}),o(t,e,n,i,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}e.exports={supplyDefaults:function(t,e,r,a){s(t,e,0,a,function(r,a){return n.coerce(t,e,i,r,a)})},supplyIsoDefaults:s}},{\"../../components/colorscale/defaults\":601,\"../../lib\":717,\"../../registry\":846,\"./attributes\":1056}],1060:[function(t,e,r){\"use 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../surface/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat;e.exports=s({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":599}],1063:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),a=t(\"delaunay-triangulate\"),i=t(\"alpha-shape\"),o=t(\"convex-hull\"),s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var f=h.prototype;function p(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var a=[],i=e.length,o=0;o<i;o++)a[o]=t.d2l(e[o],0,n)*r;return a}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function v(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}f.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},f.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var n,h=t.x.length,f=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!v(t.i,h)||!v(t.j,h)||!v(t.k,h))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(f):t.alphahull>0?i(t.alphahull,f):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],i=e.length,o=0;o<i;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return a(n)}(t.delaunayaxis,f);var m={positions:f,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;m[x+\"Intensity\"]=t.intensity,m[x+\"IntensityBounds\"]=[y.min,y.max],m.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],m.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],m.cellColors=p(t.facecolor)):(this.color=t.color,m.meshColor=l(t.color));this.mesh.update(m)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,a=n({gl:r}),i=new 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n=t(\"../../lib\"),a=n._,i=t(\"../../plots/cartesian/axes\"),o=t(\"../../constants/numerical\").BADNUM;function s(t,e,r,n){return{o:t,h:e,l:r,c:n}}function l(t,e,r,s,l){for(var c=s.makeCalcdata(e,\"open\"),u=s.makeCalcdata(e,\"high\"),h=s.makeCalcdata(e,\"low\"),f=s.makeCalcdata(e,\"close\"),p=Array.isArray(e.text),d=Array.isArray(e.hovertext),g=!0,v=null,m=[],y=0;y<r.length;y++){var x=r[y],b=c[y],_=u[y],w=h[y],k=f[y];if(x!==o&&b!==o&&_!==o&&w!==o&&k!==o){k===b?null!==v&&k!==v&&(g=k>v):g=k>b,v=k;var T=l(b,_,w,k);T.pos=x,T.yc=(b+k)/2,T.i=y,T.dir=g?\"increasing\":\"decreasing\",T.x=T.pos,T.y=[w,_],p&&(T.tx=e.text[y]),d&&(T.htx=e.hovertext[y]),m.push(T)}else m.push({pos:x,empty:!0})}return e._extremes[s._id]=i.findExtremes(s,n.concat(h,u),{padded:!0}),m.length&&(m[0].t={labels:{open:a(t,\"open:\")+\" \",high:a(t,\"high:\")+\" \",low:a(t,\"low:\")+\" \",close:a(t,\"close:\")+\" \"}}),m}e.exports={calc:function(t,e){var r=i.getFromId(t,e.xaxis),a=i.getFromId(t,e.yaxis),o=function(t,e,r){var 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g(t){if(!t.parcatsViewModel.dragDimension&&(x(n.select(this)),i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var a=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:a})}return e}function m(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var a=r[n],i=a.categories[t.model.categoryInds[n]];e[a.containerInd]=i.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function y(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=m(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function x(t){t.attr(\"fill\",function(t){return t.model.color}).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function b(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",function(t){return l.mostReadable(t.model.color,[\"black\",\"white\"])}).attr(\"stroke-width\",.3)}function _(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function k(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function T(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each(function(t){k(t).each(function(t){Array.prototype.push.apply(l,v(t))})});var c={};c[i.dimensionInd]=i.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function M(t,e,r){var a=n.select(t).datum(),i=a.categoryViewModel.model,o=a.parcatsViewModel.graphDiv,s=k(a),l=[];s.each(function(t){Array.prototype.push.apply(l,v(t))});var c={};c[i.dimensionInd]=i.categoryValue,void 0!==a.rawColor&&(c.color=a.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function A(t,e){var r,a,i=n.select(e.parentNode).select(\"rect.catrect\"),o=i.node().getBoundingClientRect(),s=i.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,a=\"left\"):(r=o.left+o.width,a=\"right\");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},v=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&v.push([\"Count:\",g.countLabel].join(\" 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n.select(e.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each(function(){r.push(A(t,this))}),r}(s,this)),e&&i.loneHover(e,{container:a._hoverlayer.node(),outerContainer:a._paper.node(),gd:r})}}function E(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(x(e.pathSelection),_(e.dimensionSelection.selectAll(\"g.category\")),w(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),i.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?M(this,\"plotly_unhover\",n.event):T(this,\"plotly_unhover\",n.event)}}function L(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each(function(e){var r=n.mouse(this)[0],a=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=a&&a<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map(function(t){return t.displayInd}),e.model.dragY=e.y,o.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each(function(e){e.y<a&&a<=e.y+e.height&&(t.potentialClickBand=this)}))}),t.parcatsViewModel.dragDimension=t,i.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function C(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,a=e+1,i=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=i.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=i.categories,u=c[l-1],h=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==h&&s+o.height>h.y+h.height/2&&(o.model.displayInd=h.model.displayInd,h.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){i.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[a];void 0!==f&&i.model.dragX<f.x+f.width&&(i.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&i.model.dragX+i.width>p.x&&(i.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=i.model.displayInd}F(t.parcatsViewModel),R(t.parcatsViewModel),I(t.parcatsViewModel),z(t.parcatsViewModel)}}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),o=t.initialDragDimensionDisplayInds.some(function(t,e){return t!==i[e]});o&&i.forEach(function(r,n){var a=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+a+\"].displayindex\"]=r});var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map(function(t){return t.displayInd});if(s=t.initialDragCategoryDisplayInds.some(function(t,e){return t!==l[e]})){var c=t.model.categories.slice().sort(function(t,e){return t.displayInd-e.displayInd}),u=c.map(function(t){return t.categoryValue}),h=c.map(function(t){return t.categoryLabel});e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[h],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):T(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,F(t.parcatsViewModel),R(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each(function(){I(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)}).each(\"end\",function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])})}}function 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e,r;f(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)});var i=a.selectAll(\"rect.bandrect\").data(function(t){return t.bands},h),s=i.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",function(t){return t.color}).attr(\"fill-opacity\",0);i.attr(\"fill\",function(t){return t.color}).attr(\"width\",function(t){return t.width}).attr(\"height\",function(t){return t.height}).attr(\"y\",function(t){return t.y}),w(s),i.each(function(){o.raiseToTop(this)}),i.exit().remove()}function D(t,e,r,a,i){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(i)),c.push(o(1-i));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+a+\" \",u+=\"l -\"+r[r.length-1]+\",0 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Array(c.length),p=e[0].model.count,d=e[0].categories.map(function(t){return t.height}).reduce(function(t,e){return t+e}),g=0;g<c.length;g++){var v,m=c[g];v=p>0?d*(m.count/p):0;for(var y,x=new Array(n.length),b=0;b<m.categoryInds.length;b++){var _=m.categoryInds[b],w=a[b][_],k=i[b];x[k]=n[k][w],n[k][w]+=v;var T=t.dimensions[k].categories[w],M=T.bands.length,A=T.bands[M-1];if(void 0===A||m.rawColor!==A.rawColor){var S=void 0===A?0:A.y+A.height;T.bands.push({key:S,color:m.color,rawColor:m.rawColor,height:v,width:T.width,count:m.count,y:S,categoryViewModel:T,parcatsViewModel:t})}else{var E=T.bands[M-1];E.height+=v,E.count+=m.count}}y=\"hspline\"===t.pathShape?D(s,x,l,v,.5):D(s,x,l,v,0),f[g]={key:m.valueInds[0],model:m,height:v,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function F(t){var e=t.model.dimensions.map(function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}});e.sort(function(t,e){return t.displayInd-e.displayInd});var r=[];for(var n in e){var a=e[n].dimensionInd,i=t.model.dimensions[a];r.push(B(t,i))}t.dimensions=r}function B(t,e){var r,n=t.model.dimensions.length,a=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*a;var i,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,v=e.categories.map(function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}});for(v.sort(function(t,e){return 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/layout_attributes\"),i=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:i({editType:\"plot\"}),tickfont:i({editType:\"plot\"}),rangefont:i({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},a.tickvals,{editType:\"plot\"}),ticktext:s({},a.ticktext,{editType:\"plot\"}),tickformat:s({},a.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plot_api/plot_template\":755,\"../../plots/cartesian/layout_attributes\":777,\"../../plots/domain\":790,\"../../plots/font_attributes\":791}],1083:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var a=t?-1:1,i=0,o=e.length-1;if(a<0){var s=i;i=o,o=s}for(var l=e[i],u=l,f=i;a*f<a*o;f+=a){var p=f+a,d=e[p];if(a*r<a*h(l,d))return c(l,u);if(a*r<a*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function d(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function g(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var e,r,n,a=v(t.brush.filter.getConsolidated(),t.height),i=[0],o=a.length?a[0][0]:null,s=0;s<a.length;s++)r=(e=a[s])[1]-e[0],i.push(o),i.push(r),(n=s+1)<a.length&&(o=a[n][0]-e[1]);return i.push(t.height),i}function v(t,e){return t.map(function(t){return t.map(function(t){return Math.max(0,t*e)}).sort(s)})}function m(){a.select(document.body).style(\"cursor\",null)}function y(t){t.attr(\"stroke-dasharray\",g)}function x(t,e){var r=a.select(t).selectAll(\".highlight, .highlight-shadow\");y(e?r.transition().duration(n.bar.snapDuration).each(\"end\",e):r)}function b(t,e){var r,a=t.brush,i=NaN,o={};if(a.filterSpecified){var s=t.height,l=a.filter.getConsolidated(),c=v(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(i=u,isNaN(i)&&(i=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(i)){var d=c[i],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?\"n\":e<=.9*t[0]+.1*t[1]?\"s\":\"ns\"}(d,e);g&&(o.interval=l[i],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<m.length;r++){var x=[.25*m[Math.max(r-1,0)]+.75*m[r],.25*m[Math.min(r+1,m.length-1)]+.75*m[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.brush.svgBrush;i.wasDragged=!0,i._dragging=!0,i.grabbingBar?i.newExtent=[r-i.grabPoint,r+i.barLength-i.grabPoint].map(e.unitToPaddedPx.invert):i.newExtent=[i.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,i.extent=i.stayingIntervals.concat([i.newExtent]),i.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-a.mouse(t)[1]-2*n.verticalPadding),i=\"crosshair\";r.clickableOrdinalRange?i=\"pointer\":r.region&&(i=r.region+\"-resize\"),a.select(document.body).style(\"cursor\",i)}function k(t){t.on(\"mousemove\",function(t){a.event.preventDefault(),t.parent.inBrushDrag||w(this,t)}).on(\"mouseleave\",function(t){t.parent.inBrushDrag||m()}).call(a.behavior.drag().on(\"dragstart\",function(t){!function(t,e){a.event.sourceEvent.stopPropagation();var r=e.height-a.mouse(t)[1]-2*n.verticalPadding,i=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter(function(t){return t[0]!==l[0]&&t[1]!==l[1]})),c.startExtent=s.region?l[\"s\"===s.region?1:0]:i,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)}).on(\"drag\",function(t){_(this,t)}).on(\"dragend\",function(t){!function(t,e){var r=e.brush,n=r.filter,i=r.svgBrush;i._dragging||(w(t,e),_(t,e),e.brush.svgBrush.wasDragged=!1),i._dragging=!1,a.event.sourceEvent.stopPropagation();var o=i.grabbingBar;if(i.grabbingBar=!1,i.grabLocation=void 0,e.parent.inBrushDrag=!1,m(),!i.wasDragged)return i.wasDragged=void 0,i.clickableOrdinalRange?r.filterSpecified&&e.multiselect?i.extent.push(i.clickableOrdinalRange):(i.extent=[i.clickableOrdinalRange],r.filterSpecified=!0):o?(i.extent=i.stayingIntervals,0===i.extent.length&&M(r)):M(r),i.brushCallback(e),x(t.parentNode),void i.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),i.newExtent=[f(0,l,i.newExtent[0],i.stayingIntervals),f(1,l,i.newExtent[1],i.stayingIntervals)];var c=i.newExtent[1]>i.newExtent[0];i.extent=i.stayingIntervals.concat(c?[i.newExtent]:[]),i.extent.length||M(r),i.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();i.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)}))}function T(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function A(t){for(var e,r=t.slice(),n=[],a=r.shift();a;){for(e=a.slice();(a=r.shift())&&a[0]<=e[1];)e[1]=Math.max(e[1],a[1]);n.push(e)}return n}e.exports={makeBrush:function(t,e,r,n,a,i){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map(function(t){return t.slice().sort(s)}).sort(T)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=A(r),e=r.reduce(function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]},[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=a,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map(function(t){return t.slice()})}(e).slice();e.filter.set(r),o()}),brushEndCallback:i}}},ensureAxisBrush:function(t){var e=t.selectAll(\".\"+n.cn.axisBrush).data(o,i);e.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(\".background\").data(o);e.enter().append(\"rect\").classed(\"background\",!0).call(p).call(d).style(\"pointer-events\",\"auto\").attr(\"transform\",\"translate(0 \"+n.verticalPadding+\")\"),e.call(k).attr(\"height\",function(t){return t.height-n.verticalPadding});var r=t.selectAll(\".highlight-shadow\").data(o);r.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",n.bar.strokeColor).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),r.attr(\"y1\",function(t){return t.height}).call(y);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",function(t){return t.height}).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map(function(t){return t.sort(s)}),t=e.multiselect?A(t.sort(T)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map(function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e}).filter(function(t){return t})).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":717,\"../../lib/gup\":715,\"./constants\":1086,d3:165}],1084:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/get_data\").getModuleCalcData,i=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=a(t.calcdata,\"parcoords\")[0];e.length&&i(t,e)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"parcoords\"),i=e._has&&e._has(\"parcoords\");a&&!i&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter(function(t,e){return e===r.size()-1}).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each(function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.width,height:this.height})}),window.setTimeout(function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")},60)}},{\"../../constants/xmlns_namespaces\":694,\"../../plots/get_data\":800,\"./plot\":1093,d3:165}],1085:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,a=t(\"../../components/colorscale\"),i=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return a.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=a.extractOpts(e.line).colorscale,a.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),i({lineColor:r,cscale:o})}},{\"../../components/colorscale\":603,\"../../lib\":717,\"../../lib/gup\":715}],1086:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:\"white\",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],1087:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),h=t(\"./constants\").maxDimensionCount,f=t(\"./merge_length\");function p(t,e,r,a){function i(r,a){return n.coerce(t,e,c.dimensions,r,a)}var o=i(\"values\"),s=i(\"visible\");if(o&&o.length||(s=e.visible=!1),s){i(\"label\"),i(\"tickvals\"),i(\"ticktext\"),i(\"tickformat\");var h=i(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:h},l.setConvert(e._ax,a.layout),i(\"multiselect\");var f=i(\"constraintrange\");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,a){return n.coerce(t,e,c,r,a)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log(\"parcoords traces support up to \"+h+\" dimensions at the moment\"),d.splice(h));var g=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),v=function(t,e,r,o,s){var l=s(\"line.color\",r);if(a(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),i(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),f(e,g,\"values\",v);var m={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,\"labelfont\",m),n.coerceFont(u,\"tickfont\",m),n.coerceFont(u,\"rangefont\",m),u(\"labelangle\"),u(\"labelside\")}},{\"../../components/colorscale/defaults\":601,\"../../components/colorscale/helpers\":602,\"../../lib\":717,\"../../plots/array_container_defaults\":761,\"../../plots/cartesian/axes\":765,\"../../plots/domain\":790,\"./attributes\":1082,\"./axisbrush\":1083,\"./constants\":1086,\"./merge_length\":1091}],1088:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":717}],1089:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1082,\"./base_plot\":1084,\"./calc\":1085,\"./defaults\":1087,\"./plot\":1093}],1090:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform sampler2D mask, palette;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(mask,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=1e-6,c=2048,u=new Uint8Array(4),h=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function p(t,e,r,n,a){var i=t._gl;i.enable(i.SCISSOR_TEST),i.scissor(e,r,n,a),t.clear({color:[0,0,0,0],depth:1})}function d(t,e,r,n,a,i){var 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n=e.indexOf(r),a=t.indexOf(n);return-1===a&&(a+=e.length),a}e.exports=function(t,e){var r=t._fullLayout;if(a(t)){var s={},l={},c={},u={},h=r._size;e.forEach(function(e,r){var n=e[0].trace;c[r]=n.index;var a=u[r]=n._fullInput.index;s[r]=t.data[a].dimensions,l[r]=t.data[a].dimensions.slice()});n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,a){var i=l[e][n],o=a.map(function(t){return t.slice()}),s=\"dimensions[\"+n+\"].constraintrange\",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=i.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),i.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete i.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return 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n=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,i=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=i({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,a,i=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],h=e.values,f=e._length,p=e._hasValues&&f;if(e.dlabel)for(c=new Array(f),r=0;r<f;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),v=0,m=!1;for(r=0;r<f;r++){var y,x,b;if(p){if(y=h[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=i.length,(b=-1!==l.indexOf(x))||(v+=y),i.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(m=!0,(a=i[_]).v+=y,a.pts.push(r),a.hidden||(v+=y),!1===a.color&&u[r]&&(a.color=g(u[r],x)))}return(\"funnelarea\"===e.type?m:e.sort)&&i.sort(function(t,e){return e.v-t.v}),i[0]&&(i[0].vTotal=v),i},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,a=t.calcdata,i=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(i=l(i,o));for(var c=0,u=0;u<a.length;u++){var h=a[u];if(h[0].trace.type===r)for(var f=0;f<h.length;f++){var p=h[f];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=i[c%i.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":591,\"fast-isnumeric\":228,tinycolor2:535}],1097:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),i=a.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,i?e.length:1/0);if(isFinite(o)||(o=0),o&&i){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:i,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return a.coerce(t,e,i,r,n)}var u=l(c(\"labels\"),c(\"values\")),h=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),h){e._length=h,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var f,p=c(\"text\"),d=c(\"texttemplate\");if(d||(f=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||f&&\"none\"!==f){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var v=c(\"hole\");if(c(\"title.text\")){var m=c(\"title.position\",v?\"middle center\":\"top center\");v||\"middle center\"!==m||(e.title.position=\"top center\"),a.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":717,\"../../plots/domain\":790,\"../bar/defaults\":860,\"./attributes\":1094,\"fast-isnumeric\":228}],1098:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":626}],1099:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(\".\")&&(r=r.replace(/[.]?0+$/,\"\")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{\"../../lib\":717}],1100:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1094,\"./base_plot\":1095,\"./calc\":1096,\"./defaults\":1097,\"./layout_attributes\":1101,\"./layout_defaults\":1102,\"./plot\":1103,\"./style\":1104,\"./style_one\":1105}],1101:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1102:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,i){return n.coerce(t,e,a,r,i)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":717,\"./layout_attributes\":1101}],1103:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../plots/plots\"),i=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=t(\"../../lib/svg_text_utils\"),u=t(\"../bar/uniform_text\"),h=u.recordMinTextSize,f=u.clearMinTextSize,p=t(\"../bar/constants\").TEXTPAD,d=t(\"./helpers\"),g=t(\"./event_data\"),v=t(\"../../lib\").isValidTextValue;function m(t,e,r){var a=r[0],o=a.trace,s=a.cx,c=a.cy;\"_hasHoverLabel\"in o||(o._hasHoverLabel=!1),\"_hasHoverEvent\"in o||(o._hasHoverEvent=!1),t.on(\"mouseover\",function(t){var r=e._fullLayout,u=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var h=u.hoverinfo;if(Array.isArray(h)&&(h=i.castHoverinfo({hoverinfo:[d.castOption(h,t.pts)],_module:o._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),u.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var f=t.rInscribed||0,p=s+t.pxmid[0]*(1-f),v=c+t.pxmid[1]*(1-f),m=r.separators,y=[];if(h&&-1!==h.indexOf(\"label\")&&y.push(t.label),t.text=d.castOption(u.hovertext||u.text,t.pts),h&&-1!==h.indexOf(\"text\")){var x=t.text;l.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=d.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=d.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&y.push(t.percentLabel);var b=u.hoverlabel,_=b.font;i.loneHover({trace:o,x0:p-f*a.r,x1:p+f*a.r,y:v,text:y.join(\"<br>\"),name:u.hovertemplate||-1!==h.indexOf(\"name\")?u.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:d.castOption(b.bgcolor,t.pts)||t.color,borderColor:d.castOption(b.bordercolor,t.pts),fontFamily:d.castOption(_.family,t.pts),fontSize:d.castOption(_.size,t.pts),fontColor:d.castOption(_.color,t.pts),nameLength:d.castOption(b.namelength,t.pts),textAlign:d.castOption(b.align,t.pts),hovertemplate:d.castOption(u.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[g(t,u)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[g(t,u)],event:n.event})}}),t.on(\"mouseout\",function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[g(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)}),t.on(\"click\",function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[g(t,a)],i.click(e,n.event))})}function y(t,e,r){var n=d.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=d.castOption(t._input.textfont.color,e.pts));var a=d.castOption(t.insidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.insidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:a,size:i}}function x(t,e){for(var r,n,a=0;a<t.length;a++)if((n=(r=t[a][0]).trace).title.text){var i=n.title.text;n._meta&&(i=l.templateString(i,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(i).call(s.font,n.title.font).call(c.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function b(t,e,r){var n=r.r||e.rpx1,a=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-a,scale:0,rotate:0,textPosAngle:0};var i,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var v,m=function(r,a){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(i=\"tan\"===a?w(t,n,o,c,0):_(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(i)}};if(h||f){for(v=4;v>=-4;v-=2)m(Math.PI*v,\"tan\");for(v=4;v>=-4;v-=2)m(Math.PI*(v+1),\"tan\")}if(h||p){for(v=4;v>=-4;v-=2)m(Math.PI*(v+1.5),\"rad\");for(v=4;v>=-4;v-=2)m(Math.PI*(v+.5),\"rad\")}}if(s||d||h){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((i={scale:a*n*2/y,rCenter:1-a,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,i.scale>=1)return i;g.push(i)}(d||p)&&((i=_(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i)),(d||f)&&((i=w(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(i));for(var x=0,b=0,k=0;k<g.length;k++){var T=g[k].scale;if(b<T&&(b=T,x=k),!d&&b>=1)break}return g[x]}function _(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.width/t.height,o=M(i,n,e,r);return{scale:2*o/t.height,rCenter:k(i,o/e),rotate:T(a)}}function w(t,e,r,n,a){e=Math.max(0,e-2*p);var i=t.height/t.width,o=M(i,n,e,r);return{scale:2*o/t.width,rCenter:k(i,o/e),rotate:T(a+Math.PI/2)}}function k(t,e){return Math.cos(e)-t*e}function T(t){return(180/Math.PI*t+720)%180-90}function M(t,e,r,n){var a=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(a*a+.5)+a),n/(Math.sqrt(t*t+n/2)+t))}function A(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function S(t,e){var r=e.pxmid[0],n=e.pxmid[1],a=t.width/2,i=t.height/2;return r<0&&(a*=-1),n<0&&(i*=-1),{scale:1,rCenter:1,rotate:0,x:a+Math.abs(i)*(a>0?1:-1)/2,y:i/(1+r*r/(n*n)),outside:!0}}function E(t,e){var r,n,a,i=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=i.title.font.size,a=C(i),-1!==i.title.position.indexOf(\"top\")?(o.y-=(1+a)*t.r,s.ty-=t.titleBox.height):-1!==i.title.position.indexOf(\"bottom\")&&(o.y+=(1+a)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(i.domain.x[1]-i.domain.x[0])/2;return-1!==i.title.position.indexOf(\"left\")?(h+=u,o.x-=(1+a)*u,s.tx+=t.titleBox.width/2):-1!==i.title.position.indexOf(\"center\")?h*=2:-1!==i.title.position.indexOf(\"right\")&&(h+=u,o.x+=(1+a)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=L(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function L(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function C(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function P(t,e){for(var r=[],n=0;n<t.length;n++){var a=t[n][0],i=a.trace,o=i.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);i.title.text&&\"middle center\"!==i.title.position&&(l-=L(a,e));var c=s/2,u=l/2;\"funnelarea\"!==i.type||i.scalegroup||(u/=i.aspectratio),a.r=Math.min(c,u)/(1+C(i)),a.cx=e.l+e.w*(i.domain.x[1]+i.domain.x[0])/2,a.cy=e.t+e.h*(1-i.domain.y[0])-l/2,i.title.text&&-1!==i.title.position.indexOf(\"bottom\")&&(a.cy-=L(a,e)),i.scalegroup&&-1===r.indexOf(i.scalegroup)&&r.push(i.scalegroup)}!function(t,e){for(var r,n,a,i=0;i<e.length;i++){var o=1/0,s=e[i];for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var l;if(\"pie\"===a.type)l=r.r*r.r;else if(\"funnelarea\"===a.type){var c,u;a.aspectratio>1?(c=r.r,u=c/a.aspectratio):(u=r.r,c=u*a.aspectratio),c*=(1+a.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(a=r.trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===a.type&&(h/=(1+a.baseratio)/2,h/=a.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(t,e,r){var n=t._fullLayout,a=r.trace,i=a.texttemplate,o=a.textinfo;if(!i&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),g=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=d.getFirstFilled(a.text,e.pts);v(y)&&s.push(y)}p&&s.push(d.formatPieValue(e.v,m)),g&&s.push(d.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(i){var x=l.castOption(a,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:d.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:d.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(a,t.i,\"customdata\")}}(e),_=d.getFirstFilled(a.text,e.pts);(v(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,a._meta||{})}else e.text=\"\"}}function I(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),a=Math.sin(r),i=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=i*n-o*a,t.textY=i*a+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,i=r._size;f(\"pie\",r),x(e,t),P(e,i);var u=l.makeTraceGroups(r._pielayer,e,\"trace\").each(function(e){var u=n.select(this),f=e[0],p=f.trace;!function(t){var e,r,n,a=t[0],i=a.r,o=a.trace,s=o.rotation*Math.PI/180,l=2*Math.PI/a.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=O(i,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(i,s),r.midangle=s,s+=l*r.v/2,n=O(i,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>a.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/a.vTotal,.5),r.ring=1-o.hole,r.rInscribed=A(r,a))}(e),u.attr(\"stroke-linejoin\",\"round\"),u.each(function(){var g=n.select(this).selectAll(\"g.slice\").data(e);g.enter().append(\"g\").classed(\"slice\",!0),g.exit().remove();var v=[[[],[]],[[],[]]],x=!1;g.each(function(a,i){if(a.hidden)n.select(this).selectAll(\"path,g\").remove();else{a.pointNumber=a.i,a.curveNumber=p.index,v[a.pxmid[1]<0?0:1][a.pxmid[0]<0?0:1].push(a);var o=f.cx,u=f.cy,g=n.select(this),_=g.selectAll(\"path.surface\").data([a]);if(_.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),g.call(m,t,e),p.pull){var w=+d.castOption(p.pull,a.pts)||0;w>0&&(o+=w*a.pxmid[0],u+=w*a.pxmid[1])}a.cxFinal=o,a.cyFinal=u;var k=p.hole;if(a.v===f.vTotal){var T=\"M\"+(o+a.px0[0])+\",\"+(u+a.px0[1])+C(a.px0,a.pxmid,!0,1)+C(a.pxmid,a.px0,!0,1)+\"Z\";k?_.attr(\"d\",\"M\"+(o+k*a.px0[0])+\",\"+(u+k*a.px0[1])+C(a.px0,a.pxmid,!1,k)+C(a.pxmid,a.px0,!1,k)+\"Z\"+T):_.attr(\"d\",T)}else{var M=C(a.px0,a.px1,!0,1);if(k){var A=1-k;_.attr(\"d\",\"M\"+(o+k*a.px1[0])+\",\"+(u+k*a.px1[1])+C(a.px1,a.px0,!1,k)+\"l\"+A*a.px0[0]+\",\"+A*a.px0[1]+M+\"Z\")}else _.attr(\"d\",\"M\"+o+\",\"+u+\"l\"+a.px0[0]+\",\"+a.px0[1]+M+\"Z\")}z(t,a,f);var E=d.castOption(p.textposition,a.pts),L=g.selectAll(\"g.slicetext\").data(a.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each(function(){var g=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),v=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){var n=d.castOption(t.outsidetextfont.color,e.pts)||d.castOption(t.textfont.color,e.pts)||r.color,a=d.castOption(t.outsidetextfont.family,e.pts)||d.castOption(t.textfont.family,e.pts)||r.family,i=d.castOption(t.outsidetextfont.size,e.pts)||d.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:a,size:i}}(p,a,r.font):y(p,a,r.font));g.text(a.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,v).call(c.convertToTspans,t);var m,_=s.bBox(g.node());if(\"outside\"===E)m=S(_,a);else if(m=b(_,a,f),\"auto\"===E&&m.scale<1){var w=l.ensureUniformFontSize(t,p.outsidetextfont);g.call(s.font,w),m=S(_=s.bBox(g.node()),a)}var k=m.textPosAngle,T=void 0===k?a.pxmid:O(f.r,k);if(m.targetX=o+T[0]*m.rCenter+(m.x||0),m.targetY=u+T[1]*m.rCenter+(m.y||0),I(m,_),m.outside){var M=m.targetY;a.yLabelMin=M-_.height/2,a.yLabelMid=M,a.yLabelMax=M+_.height/2,a.labelExtraX=0,a.labelExtraY=0,x=!0}m.fontSize=v.size,h(p.type,m,r),e[i].transform=m,g.attr(\"transform\",l.getTextTransform(m))})}function C(t,e,r,n){var i=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*f.r+\",\"+n*f.r+\" 0 \"+a.largeArc+(r?\" 1 \":\" 0 \")+i+\",\"+o}});var _=n.select(this).selectAll(\"g.titletext\").data(p.title.text?[0]:[]);if(_.enter().append(\"g\").classed(\"titletext\",!0),_.exit().remove(),_.each(function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",function(t){t.attr(\"data-notex\",1)}),a=p.title.text;p._meta&&(a=l.templateString(a,p._meta)),r.text(a).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,p.title.font).call(c.convertToTspans,t),e=\"middle center\"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(f):E(f,i),r.attr(\"transform\",\"translate(\"+e.x+\",\"+e.y+\")\"+(e.scale<1?\"scale(\"+e.scale+\")\":\"\")+\"translate(\"+e.tx+\",\"+e.ty+\")\")}),x&&function(t,e){var r,n,a,i,o,s,l,c,u,h,f,p,g;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var a,c,u,f,p,g,v=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,x=t.cyFinal+o(t.px0[1],t.px1[1]),b=v-m;if(b*l>0&&(t.labelExtraY=b),Array.isArray(e.pull))for(c=0;c<h.length;c++)(u=h[c])===t||(d.castOption(e.pull,t.pts)||0)>=(d.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(f=u.cyFinal+o(u.px0[1],u.px1[1]),(b=f-m-t.labelExtraY)*l>0&&(t.labelExtraY+=b)):(y+t.labelExtraY-x)*l>0&&(a=3*s*Math.abs(c-h.indexOf(t)),p=u.cxFinal+i(u.px0[0],u.px1[0]),(g=p+a-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=g)))}for(n=0;n<2;n++)for(a=n?v:m,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(i=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(a),u=t[1-n][r],h=u.concat(c),p=[],f=0;f<c.length;f++)void 0!==c[f].yLabelMid&&p.push(c[f]);for(g=!1,f=0;n&&f<u.length;f++)if(void 0!==u[f].yLabelMid){g=u[f];break}for(f=0;f<p.length;f++){var x=f&&p[f-1];g&&!f&&(x=g),y(p[f],x)}}}(v,p),function(t,e){t.each(function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var a=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,a.attr(\"transform\",l.getTextTransform(t.transform));var i=t.cxFinal+t.pxmid[0],s=t.cyFinal+t.pxmid[1],c=\"M\"+i+\",\"+s,u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var h=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(h)>Math.abs(f)?c+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(i+t.labelExtraX+u):c+=\"l\"+t.labelExtraX+\",\"+h+\"v\"+(f-h)+\"h\"+u}else c+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:c,fill:\"none\"})}else r.select(\"path.textline\").remove()})}(g,p),x&&p.automargin){var w=s.bBox(u.node()),k=p.domain,T=i.w*(k.x[1]-k.x[0]),M=i.h*(k.y[1]-k.y[0]),A=(.5*T-f.r)/i.w,L=(.5*M-f.r)/i.h;a.autoMargin(t,\"pie.\"+p.uid+\".automargin\",{xl:k.x[0]-A,xr:k.x[1]+A,yb:k.y[0]-L,yt:k.y[1]+L,l:Math.max(f.cx-f.r-w.left,0),r:Math.max(w.right-(f.cx+f.r),0),b:Math.max(w.bottom-(f.cy+f.r),0),t:Math.max(f.cy-f.r-w.top,0),pad:5})}})});setTimeout(function(){u.selectAll(\"tspan\").each(function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))})},0)},formatSliceLabel:z,transformInsideText:b,determineInsideTextFont:y,positionTitleOutside:E,prerenderTitles:x,layoutAreas:P,attachFxHandlers:m,computeTransform:I}},{\"../../components/color\":591,\"../../components/drawing\":612,\"../../components/fx\":630,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../../plots/plots\":826,\"../bar/constants\":858,\"../bar/uniform_text\":872,\"./event_data\":1098,\"./helpers\":1099,d3:165}],1104:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"./style_one\"),i=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");i(t,e,\"pie\"),e.each(function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each(function(t){n.select(this).call(a,t,e)})})}},{\"../bar/uniform_text\":872,\"./style_one\":1105,d3:165}],1105:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"./helpers\").castOption;e.exports=function(t,e,r){var i=r.marker.line,o=a(i.color,e.pts)||n.defaultLine,s=a(i.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":591,\"./helpers\":1099}],1106:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":1120}],1107:[function(t,e,r){\"use strict\";var n=t(\"gl-pointcloud2d\"),a=t(\"../../lib/str2rgbarray\"),i=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new 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n=t(\"../../plots/font_attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,h=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll;t(\"../../constants/docs\").FORMAT_LINK;(e.exports=f({hoverinfo:h({},a.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\"},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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f={_id:\"x\",c2p:u.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:u.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:f,yaxis:p,fillRangeItems:u.noop},subplot:e,xaxes:[f],yaxes:[p],doneFnCompleted:function(r){var n,a=t._fullData[e],i=a.node.groups.slice(),o=[];function s(t){for(var e=a._sankey.graph.nodes,r=0;r<e.length;r++)if(e[r].pointNumber===t)return e[r]}for(var l=0;l<r.length;l++){var c=s(r[l].pointNumber);if(c)if(c.group){for(var u=0;u<c.childrenNodes.length;u++)o.push(c.childrenNodes[u].pointNumber);i[c.pointNumber-a.node._count]=!1}else o.push(c.pointNumber)}n=i.filter(Boolean).concat([o]),h.call(\"_guiRestyle\",t,{\"node.groups\":[n]},e)},prepFn:function(t,e,r){c(t,e,r,d,a)}};l.init(d)}}r.name=\"sankey\",r.baseLayoutAttrOverrides=n({hoverlabel:o.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){var e=a(t.calcdata,\"sankey\")[0];i(t,e),r.updateFx(t)},r.clean=function(t,e,r,n){var a=n._has&&n._has(\"sankey\"),i=e._has&&e._has(\"sankey\");a&&!i&&(n._paperdiv.selectAll(\".sankey\").remove(),n._paperdiv.selectAll(\".bgsankey\").remove())},r.updateFx=function(t){for(var e=0;e<t._fullData.length;e++)f(t,e)}},{\"../../components/dragelement\":609,\"../../components/fx/layout_attributes\":631,\"../../lib\":717,\"../../lib/setcursor\":737,\"../../plot_api/edit_types\":748,\"../../plots/cartesian/select\":782,\"../../plots/get_data\":800,\"../../registry\":846,\"./plot\":1116}],1112:[function(t,e,r){\"use strict\";var n=t(\"strongly-connected-components\"),a=t(\"../../lib\"),i=t(\"../../lib/gup\").wrap,o=a.isArrayOrTypedArray,s=a.isIndex,l=t(\"../../components/colorscale\");function c(t){var e,r=t.node,i=t.link,c=[],u=o(i.color),h=o(i.customdata),f={},p={},d=i.colorscales.length;for(e=0;e<d;e++){var g=i.colorscales[e],v=l.extractScale(g,{cLetter:\"c\"}),m=l.makeColorScaleFunc(v);p[g.label]=m}var y=0;for(e=0;e<i.value.length;e++)i.source[e]>y&&(y=i.source[e]),i.target[e]>y&&(y=i.target[e]);var x,b=y+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var k=_[e];for(x=0;x<k.length;x++){var T=k[x],M=b+e;w.hasOwnProperty(T)?a.warn(\"Node \"+T+\" is already part of a group.\"):w[T]=M}}var A={source:[],target:[]};for(e=0;e<i.value.length;e++){var S=i.value[e],E=i.source[e],L=i.target[e];if(S>0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,f[E=+E]=f[L]=!0;var C=\"\";i.label&&i.label[e]&&(C=i.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),c.push({pointNumber:e,label:C,color:u?i.color[e]:i.color,customdata:h?i.customdata[e]:i.customdata,concentrationscale:P,source:E,target:L,value:+S}),A.source.push(E),A.target.push(L)}}var O=b+_.length,z=o(r.color),I=o(r.customdata),D=[];for(e=0;e<O;e++)if(f[e]){var R=r.label[e];D.push({group:e>b-1,childrenNodes:[],pointNumber:e,label:R,color:z?r.color[e]:r.color,customdata:I?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var i=a.init2dArray(t,0),o=0;o<Math.min(e.length,r.length);o++)if(a.isIndex(e[o],t)&&a.isIndex(r[o],t)){if(e[o]===r[o])return!0;i[e[o]].push(r[o])}return n(i).components.some(function(t){return t.length>1})}(O,A.source,A.target)&&(F=!0),{circular:F,links:c,nodes:D,groups:_,groupLookup:w}}e.exports=function(t,e){var r=c(e);return i({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},{\"../../components/colorscale\":603,\"../../lib\":717,\"../../lib/gup\":715,\"strongly-connected-components\":528}],1113:[function(t,e,r){\"use 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y=i.loneHover({x0:d,x1:g,y:v,name:n.format(a.valueFormat)(a.node.value)+a.valueSuffix,text:[a.node.label,T+a.node.targetLinks.length,M+a.node.sourceLinks.length].filter(u).join(\"<br>\"),color:b(o,\"bgcolor\")||a.tinyColorHue,borderColor:b(o,\"bordercolor\"),fontFamily:b(o,\"font.family\"),fontSize:b(o,\"font.size\"),fontColor:b(o,\"font.color\"),nameLength:b(o,\"namelength\"),textAlign:b(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[a.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});f(y,.85),p(y)}}},unhover:function(e,a,o){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,a,o),\"skip\"!==a.node.trace.node.hoverinfo&&(a.node.fullData=a.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[a.node]})),i.loneUnhover(r._hoverlayer.node()))},select:function(e,r,a){var o=r.node;o.originalEvent=n.event,t._hoverdata=[o],n.select(e).call(m,r,a),i.click(t,{target:!0})}}})}},{\"../../components/color\":591,\"../../components/fx\":630,\"../../lib\":717,\"./constants\":1113,\"./render\":1117,d3:165}],1117:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),a=t(\"d3\"),i=t(\"tinycolor2\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"@plotly/d3-sankey\"),c=t(\"@plotly/d3-sankey-circular\"),u=t(\"d3-force\"),h=t(\"../../lib\"),f=t(\"../../lib/gup\"),p=f.keyFun,d=f.repeat,g=f.unwrap,v=t(\"d3-interpolate\").interpolateNumber,m=t(\"../../registry\");function y(){var t=.5;return function(e){if(e.link.circular)return r=e.link,n=r.width/2,a=r.circularPathData,\"top\"===r.circularLinkType?\"M \"+a.targetX+\" \"+(a.targetY+n)+\" L\"+a.rightInnerExtent+\" \"+(a.targetY+n)+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightSmallArcRadius+n)+\" 0 0 1 \"+(a.rightFullExtent-n)+\" \"+(a.targetY-a.rightSmallArcRadius)+\"L\"+(a.rightFullExtent-n)+\" \"+a.verticalRightInnerExtent+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightLargeArcRadius+n)+\" 0 0 1 \"+a.rightInnerExtent+\" \"+(a.verticalFullExtent-n)+\"L\"+a.leftInnerExtent+\" \"+(a.verticalFullExtent-n)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftLargeArcRadius+n)+\" 0 0 1 \"+(a.leftFullExtent+n)+\" \"+a.verticalLeftInnerExtent+\"L\"+(a.leftFullExtent+n)+\" \"+(a.sourceY-a.leftSmallArcRadius)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftSmallArcRadius+n)+\" 0 0 1 \"+a.leftInnerExtent+\" \"+(a.sourceY+n)+\"L\"+a.sourceX+\" \"+(a.sourceY+n)+\"L\"+a.sourceX+\" \"+(a.sourceY-n)+\"L\"+a.leftInnerExtent+\" \"+(a.sourceY-n)+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftSmallArcRadius-n)+\" 0 0 0 \"+(a.leftFullExtent-n)+\" \"+(a.sourceY-a.leftSmallArcRadius)+\"L\"+(a.leftFullExtent-n)+\" \"+a.verticalLeftInnerExtent+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftLargeArcRadius-n)+\" 0 0 0 \"+a.leftInnerExtent+\" \"+(a.verticalFullExtent+n)+\"L\"+a.rightInnerExtent+\" \"+(a.verticalFullExtent+n)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightLargeArcRadius-n)+\" 0 0 0 \"+(a.rightFullExtent+n)+\" \"+a.verticalRightInnerExtent+\"L\"+(a.rightFullExtent+n)+\" \"+(a.targetY-a.rightSmallArcRadius)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightSmallArcRadius-n)+\" 0 0 0 \"+a.rightInnerExtent+\" \"+(a.targetY-n)+\"L\"+a.targetX+\" \"+(a.targetY-n)+\"Z\":\"M \"+a.targetX+\" \"+(a.targetY-n)+\" L\"+a.rightInnerExtent+\" \"+(a.targetY-n)+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightSmallArcRadius+n)+\" 0 0 0 \"+(a.rightFullExtent-n)+\" \"+(a.targetY+a.rightSmallArcRadius)+\"L\"+(a.rightFullExtent-n)+\" \"+a.verticalRightInnerExtent+\"A\"+(a.rightLargeArcRadius+n)+\" \"+(a.rightLargeArcRadius+n)+\" 0 0 0 \"+a.rightInnerExtent+\" \"+(a.verticalFullExtent+n)+\"L\"+a.leftInnerExtent+\" \"+(a.verticalFullExtent+n)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftLargeArcRadius+n)+\" 0 0 0 \"+(a.leftFullExtent+n)+\" \"+a.verticalLeftInnerExtent+\"L\"+(a.leftFullExtent+n)+\" \"+(a.sourceY+a.leftSmallArcRadius)+\"A\"+(a.leftLargeArcRadius+n)+\" \"+(a.leftSmallArcRadius+n)+\" 0 0 0 \"+a.leftInnerExtent+\" \"+(a.sourceY-n)+\"L\"+a.sourceX+\" \"+(a.sourceY-n)+\"L\"+a.sourceX+\" \"+(a.sourceY+n)+\"L\"+a.leftInnerExtent+\" \"+(a.sourceY+n)+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftSmallArcRadius-n)+\" 0 0 1 \"+(a.leftFullExtent-n)+\" \"+(a.sourceY+a.leftSmallArcRadius)+\"L\"+(a.leftFullExtent-n)+\" \"+a.verticalLeftInnerExtent+\"A\"+(a.leftLargeArcRadius-n)+\" \"+(a.leftLargeArcRadius-n)+\" 0 0 1 \"+a.leftInnerExtent+\" \"+(a.verticalFullExtent-n)+\"L\"+a.rightInnerExtent+\" \"+(a.verticalFullExtent-n)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightLargeArcRadius-n)+\" 0 0 1 \"+(a.rightFullExtent+n)+\" \"+a.verticalRightInnerExtent+\"L\"+(a.rightFullExtent+n)+\" \"+(a.targetY+a.rightSmallArcRadius)+\"A\"+(a.rightLargeArcRadius-n)+\" \"+(a.rightSmallArcRadius-n)+\" 0 0 1 \"+a.rightInnerExtent+\" \"+(a.targetY+n)+\"L\"+a.targetX+\" \"+(a.targetY+n)+\"Z\";var r,n,a,i=e.link.source.x1,o=e.link.target.x0,s=v(i,o),l=s(t),c=s(1-t),u=e.link.y0-e.link.width/2,h=e.link.y0+e.link.width/2,f=e.link.y1-e.link.width/2,p=e.link.y1+e.link.width/2;return\"M\"+i+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+f+\" \"+o+\",\"+f+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+h+\" \"+i+\",\"+h+\"Z\"}}function x(t){t.attr(\"transform\",function(t){return\"translate(\"+t.node.x0.toFixed(3)+\", \"+t.node.y0.toFixed(3)+\")\"})}function b(t){t.call(x)}function _(t,e){t.call(b),e.attr(\"d\",y())}function w(t){t.attr(\"width\",function(t){return t.node.x1-t.node.x0}).attr(\"height\",function(t){return t.visibleHeight})}function k(t){return t.link.width>1||t.linkLineWidth>0}function T(t){return\"translate(\"+t.translateX+\",\"+t.translateY+\")\"+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function M(t){return\"translate(\"+(t.horizontal?0:t.labelY)+\" \"+(t.horizontal?t.labelY:0)+\")\"}function 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P(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])}).on(\"mousemove.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])}).on(\"mouseout.basic\",function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)}).on(\"click.basic\",function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)})}function O(t,e,r,i){var o=a.behavior.drag().origin(function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}}).on(\"dragstart\",function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",function(t){i._fullLayout._dragCover=t}),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,I(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,a){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var i=r.graph.nodes.filter(function(t){return t.originalX===r.node.originalX}).filter(function(t){return!t.partOfGroup});r.forceLayouts[e]=u.forceSimulation(i).alphaDecay(0).force(\"collide\",u.forceCollide().radius(function(t){return t.dy/2+r.nodePad/2}).strength(1).iterations(n.forceIterations)).force(\"constrain\",function(t,e,r,a){return function(){for(var t=0,i=0;i<r.length;i++){var o=r[i];o===a.interactionState.dragInProgress?(o.x=o.lastDraggedX,o.y=o.lastDraggedY):(o.vx=(o.originalX-o.x)/n.forceTicksPerFrame,o.y=Math.min(a.size-o.dy/2,Math.max(o.dy/2,o.y))),t=Math.max(t,Math.abs(o.vx),Math.abs(o.vy))}!a.interactionState.dragInProgress&&t<.1&&a.forceLayouts[e].alpha()>0&&a.forceLayouts[e].alpha(0)}}(0,e,i,r)).stop()}(0,o,a),function(t,e,r,a,i){window.requestAnimationFrame(function o(){var s;for(s=0;s<n.forceTicksPerFrame;s++)r.forceLayouts[a].tick();var l=r.graph.nodes;if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(l),r.sankey.update(r.graph),_(t.filter(D(r)),e),r.forceLayouts[a].alpha()>0)window.requestAnimationFrame(o);else{var 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i=(t.graph.nodes[a].x0+t.graph.nodes[a].x1)/2,o=(t.graph.nodes[a].y0+t.graph.nodes[a].y1)/2;r.push(i/t.figure.width),n.push(o/t.figure.height)}m.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then(function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()})}function I(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function D(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,u,f){var v=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",function(){v=!0});var m=t._fullLayout._dragCover,b=r.filter(function(t){return g(t).trace.visible}).map(function(t,e,r){var a,o=g(e),s=o.trace,u=s.domain,f=\"h\"===s.orientation,p=s.node.pad,d=s.node.thickness,v=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),y=o._nodes,x=o._links,b=o.circular;(a=b?c.sankeyCircular().circularLinkGap(0):l.sankey()).iterations(n.sankeyIterations).size(f?[v,m]:[m,v]).nodeWidth(d).nodePadding(p).nodeId(function(t){return t.pointNumber}).nodes(y).links(x);var _,w,k,T=a();for(var M in a.nodePadding()<p&&h.warn(\"node.pad was reduced to \",a.nodePadding(),\" to fit within the figure.\"),o._groupLookup){var A,S=parseInt(o._groupLookup[M]);for(_=0;_<T.nodes.length;_++)if(T.nodes[_].pointNumber===S){A=T.nodes[_];break}if(A){var E={pointNumber:parseInt(M),x0:A.x0,x1:A.x1,y0:A.y0,y1:A.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};T.nodes.unshift(E),A.childrenNodes.unshift(E)}}if(function(){for(_=0;_<T.nodes.length;_++){var t,e,r=T.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var a=Object.keys(n);for(w=0;w<a.length;w++){var o=n[t=a[w]],s=0,l={};for(k=0;k<o.length;k++)l[(e=o[k]).label]||(l[e.label]=0),l[e.label]+=e.value,s+=e.value;for(k=0;k<o.length;k++)(e=o[k]).flow={value:s,labelConcentration:l[e.label]/s,concentration:e.value/s,links:o},e.concentrationscale&&(e.color=i(e.concentrationscale(e.flow.labelConcentration)))}var c=0;for(w=0;w<r.sourceLinks.length;w++)c+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/c;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),s.node.x.length&&s.node.y.length){for(_=0;_<Math.min(s.node.x.length,s.node.y.length,T.nodes.length);_++)if(s.node.x[_]&&s.node.y[_]){var L=[s.node.x[_]*v,s.node.y[_]*m];T.nodes[_].x0=L[0]-d/2,T.nodes[_].x1=L[0]+d/2;var C=T.nodes[_].y1-T.nodes[_].y0;T.nodes[_].y0=L[1]-C/2,T.nodes[_].y1=L[1]+C/2}\"snap\"===s.arrangement&&function(t){t.forEach(function(t){var e,r,n,a=0,i=t.length;for(t.sort(function(t,e){return t.y0-e.y0}),n=0;n<i;++n)(e=t[n]).y0>=a||(r=a-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),a=e.y1+p})}(function(t){var e,r,n=t.map(function(t,e){return{x0:t.x0,index:e}}).sort(function(t,e){return t.x0-e.x0}),a=[],i=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(i+=1,e=s.x0),o=s.x0,a[i]||(a[i]=[]),a[i].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return a}(y=T.nodes)),a.update(T)}return{circular:b,key:r,trace:s,guid:h.randstr(),horizontal:f,width:v,height:m,nodePad:s.node.pad,nodeLineColor:s.node.line.color,nodeLineWidth:s.node.line.width,linkLineColor:s.link.line.color,linkLineWidth:s.link.line.width,valueFormat:s.valueformat,valueSuffix:s.valuesuffix,textFont:s.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:v,dragPerpendicular:f?v:m,arrangement:s.arrangement,sankey:a,graph:T,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}.bind(null,u)),_=e.selectAll(\".\"+n.cn.sankey).data(b,p);_.exit().remove(),_.enter().append(\"g\").classed(n.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",T),_.each(function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})}),_.transition().ease(n.ease).duration(n.duration).attr(\"transform\",T);var z=_.selectAll(\".\"+n.cn.sankeyLinks).data(d,p);z.enter().append(\"g\").classed(n.cn.sankeyLinks,!0).style(\"fill\",\"none\");var I=z.selectAll(\".\"+n.cn.sankeyLink).data(function(t){return t.graph.links.filter(function(t){return t.value}).map(function(t,e,r){var n=i(e.color),a=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:o.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:y,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}.bind(null,t))},p);I.enter().append(\"path\").classed(n.cn.sankeyLink,!0).call(P,_,f.linkEvents),I.style(\"stroke\",function(t){return k(t)?o.tinyRGB(i(t.linkLineColor)):t.tinyColorHue}).style(\"stroke-opacity\",function(t){return k(t)?o.opacity(t.linkLineColor):t.tinyColorAlpha}).style(\"fill\",function(t){return t.tinyColorHue}).style(\"fill-opacity\",function(t){return t.tinyColorAlpha}).style(\"stroke-width\",function(t){return k(t)?t.linkLineWidth:1}).attr(\"d\",y()),I.style(\"opacity\",function(){return 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c=e._length,u=t._fullLayout,h=r._id,f=n._id,p=u._firstScatter[d(e)]===e.uid,v=(g(e,u,r,n)||{}).orientation,m=e.fill;r._minDtick=0,n._minDtick=0;var y={padded:!0},x={padded:!0};l&&(y.ppad=x.ppad=l);var b=c<2||a[0]!==a[c-1]||o[0]!==o[c-1];b&&(\"tozerox\"===m||\"tonextx\"===m&&(p||\"h\"===v))?y.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==m&&\"tozeroy\"!==m&&(s.hasMarkers(e)||s.hasText(e))||(y.padded=!1,y.ppad=0),b&&(\"tozeroy\"===m||\"tonexty\"===m&&(p||\"v\"===v))?x.tozero=!0:\"tonextx\"!==m&&\"tozerox\"!==m||(x.padded=!1),h&&(e._extremes[h]=i.findExtremes(r,a,y)),f&&(e._extremes[f]=i.findExtremes(n,o,x))}function f(t,e){if(s.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},a.isArrayOrTypedArray(n.size)){var l={type:\"linear\"};i.setConvert(l);for(var c=l.makeCalcdata(t.marker,\"size\"),u=new Array(e),h=0;h<e;h++)u[h]=r(c[h]);return u}return r(n.size)}}function p(t,e){var r=d(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function d(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var a=t.stackgroup;if(a){var i=e._scatterStackOpts[r._id+n._id][a],o=\"v\"===i.orientation?n:r;return\"linear\"===o.type||\"log\"===o.type?i:void 0}}e.exports={calc:function(t,e){var r,s,d,v,m,y,x=t._fullLayout,b=i.getFromId(t,e.xaxis||\"x\"),_=i.getFromId(t,e.yaxis||\"y\"),w=b.makeCalcdata(e,\"x\"),k=_.makeCalcdata(e,\"y\"),T=e._length,M=new Array(T),A=e.ids,S=g(e,x,b,_),E=!1;p(x,e);var L,C=\"x\",P=\"y\";for(S?(a.pushUnique(S.traceIndices,e._expandedIndex),(r=\"v\"===S.orientation)?(P=\"s\",L=\"x\"):(C=\"s\",L=\"y\"),m=\"interpolate\"===S.stackgaps):h(t,e,b,_,w,k,f(e,T)),s=0;s<T;s++){var 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n=t(\"../../lib\");e.exports=function(t,e){n.isArrayOrTypedArray(e.selectedpoints)&&n.tagSelected(t,e)}},{\"../../lib\":717}],1123:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/calc\"),i=t(\"./subtypes\");e.exports=function(t,e){i.hasLines(e)&&n(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),i.hasMarkers(e)&&(n(e,\"marker\")&&a(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&a(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},{\"../../components/colorscale/calc\":599,\"../../components/colorscale/helpers\":602,\"./subtypes\":1144}],1124:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],1125:[function(t,e,r){\"use strict\";var n=t(\"./calc\");function a(t,e,r,n,a,i,o){a[n]=!0;var 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d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=a(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=a(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=i(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,a=(r+1)%3,i=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[a])&&isFinite(c[a])&&!isNaN(c[i])&&isFinite(c[i])&&(o.push([c[a],c[i]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var h=u[n],f=0;f<h.length;++f)h[f]=l[h[f]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new m(t,e.uid);return r.update(e),r}},{\"../../components/fx/helpers\":626,\"../../constants/gl3d_dashes\":690,\"../../constants/gl3d_markers\":691,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../lib/str2rgbarray\":740,\"../../plots/cartesian/axes\":765,\"../scatter/make_bubble_size_func\":1137,\"./calc_errors\":1149,\"delaunay-triangulate\":167,\"gl-error3d\":250,\"gl-line3d\":258,\"gl-mesh3d\":283,\"gl-scatter3d\":300}],1151:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,n){return a.coerce(t,e,c,r,n)}if(function(t,e,r,a){var i=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],a),o&&s&&l&&(i=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=i);return i}(t,e,h,u)){h(\"text\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),i.hasLines(e)&&(h(\"connectgaps\"),s(t,e,r,u,h)),i.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),i.hasText(e)&&(h(\"texttemplate\"),l(t,e,u,h,{noSelect:!0}));var f=(e.line||{}).color,p=(e.marker||{}).color;h(\"surfaceaxis\")>=0&&h(\"surfacecolor\",f||p);for(var d=[\"x\",\"y\",\"z\"],g=0;g<3;++g){var v=\"projection.\"+d[g];h(v+\".show\")&&(h(v+\".opacity\"),h(v+\".scale\"))}var m=n.getComponentMethod(\"errorbars\",\"supplyDefaults\");m(t,e,f||p||r,{axis:\"z\"}),m(t,e,f||p||r,{axis:\"y\",inherit:\"z\"}),m(t,e,f||p||r,{axis:\"x\",inherit:\"z\"})}else e.visible=!1}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1147}],1152:[function(t,e,r){\"use strict\";e.exports={plot:t(\"./convert\"),attributes:t(\"./attributes\"),markerSymbols:t(\"../../constants/gl3d_markers\"),supplyDefaults:t(\"./defaults\"),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:t(\"./calc\"),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../constants/gl3d_markers\":691,\"../../plots/gl3d\":805,\"./attributes\":1147,\"./calc\":1148,\"./convert\":1150,\"./defaults\":1151}],1153:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),a=t(\"../../plots/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,h=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:h.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},a.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:i()}},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841,\"../scatter/attributes\":1120}],1154:[function(t,e,r){\"use 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n=t(\"../../lib\"),a=t(\"../scatter/constants\"),i=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),h=t(\"./attributes\");e.exports=function(t,e,r,f){function p(r,a){return n.coerce(t,e,h,r,a)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),v=Math.min(d.length,g.length);if(v){e._length=v,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",v<a.PTS_LINESONLY?\"lines+markers\":\"lines\"),i.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p(\"connectgaps\")),i.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),i.hasText(e)&&c(t,e,f,p);var m=[];(i.hasMarkers(e)||i.hasText(e))&&(p(\"marker.maxdisplayed\"),m.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),i.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||m.push(\"fills\"),\"fills\"!==p(\"hoveron\",m.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":717,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/line_shape_defaults\":1135,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1153}],1156:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,a){var i=n[a];return t.a=i.a,t.b=i.b,t.y=i.y,t}},{}],1157:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,a=n.ab2ij([t.a,t.b]),i=Math.floor(a[0]),o=a[0]-i,s=Math.floor(a[1]),l=a[1]-s,c=n.evalxy([],i,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1158:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),a=t(\"../../lib\").fillText;e.exports=function(t,e,r,i){var o=n(t,e,r,i);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(f,p);s.yLabel=g.yLabel,delete s.text;var v=[];if(!p.hovertemplate){var m=(f.hi||p.hoverinfo).split(\"+\");-1!==m.indexOf(\"all\")&&(m=[\"a\",\"b\",\"text\"]),-1!==m.indexOf(\"a\")&&y(d.aaxis,f.a),-1!==m.indexOf(\"b\")&&y(d.baxis,f.b),v.push(\"y: \"+s.yLabel),-1!==m.indexOf(\"text\")&&a(f,p,v),s.extraText=v.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,v.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":717,\"../scatter/hover\":1131}],1159:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),style:t(\"../scatter/style\").style,styleOnSelect:t(\"../scatter/style\").styleOnSelect,hoverPoints:t(\"./hover\"),selectPoints:t(\"../scatter/select\"),eventData:t(\"./event_data\"),moduleType:\"trace\",name:\"scattercarpet\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"svg\",\"carpet\",\"symbols\",\"showLegend\",\"carpetDependent\",\"zoomScale\"],meta:{}}},{\"../../plots/cartesian\":776,\"../scatter/marker_colorbar\":1138,\"../scatter/select\":1141,\"../scatter/style\":1143,\"./attributes\":1153,\"./calc\":1154,\"./defaults\":1155,\"./event_data\":1156,\"./format_labels\":1157,\"./hover\":1158,\"./plot\":1160}],1160:[function(t,e,r){\"use strict\";var n=t(\"../scatter/plot\"),a=t(\"../../plots/cartesian/axes\"),i=t(\"../../components/drawing\");e.exports=function(t,e,r,o){var s,l,c,u=r[0][0].carpet,h={xaxis:a.getFromId(t,u.xaxis||\"x\"),yaxis:a.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,h,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),i.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":612,\"../../plots/cartesian/axes\":765,\"../scatter/plot\":1140}],1161:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,h=i.marker,f=i.line,p=h.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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a={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(a.textfont,r.textfont),n=y(t,a)}return n}function w(t,e){var r={capSize:2*e.width,lineWidth:e.thickness,color:e.color};return e.copy_ystyle&&(r=t.error_y),r}var k=d.SYMBOL_SDF_SIZE,T=d.SYMBOL_SIZE,M=d.SYMBOL_STROKE,A={},S=l.symbolFuncs[0](.05*T);function E(t){if(\"circle\"===t)return null;var e,r,n=l.symbolNumber(t),i=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return A[t]?A[t]:(e=c&&!o?i(1.1*T)+S:i(T),r=a(e,{w:k,h:k,viewBox:[-T,-T,T,T],stroke:s?M:-M}),A[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0};if(!0!==e.visible)return n;if(h.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),h.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var i=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<i.length;++r)i[r]*=e.line.width;n.line.dashes=i}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,a,i=r.length,o=i/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a+2],r[2*a+1]));n.push(r[i-2],r[i-1])}else if(\"hvh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var s=(r[2*a]+r[2*a+2])/2;n.push(r[2*a],r[2*a+1],s,r[2*a+1],s,r[2*a+3])}n.push(r[i-2],r[i-1])}else if(\"vhv\"===e.line.shape){for(n=[],a=0;a<o-1;a++)if(isNaN(r[2*a])||isNaN(r[2*a+1])||isNaN(r[2*a+2])||isNaN(r[2*a+3]))isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+1]),n.push(NaN,NaN);else{var l=(r[2*a+1]+r[2*a+3])/2;n.push(r[2*a],r[2*a+1],r[2*a],l,r[2*a+2],l)}n.push(r[i-2],r[i-1])}else if(\"vh\"===e.line.shape){for(n=[],a=0;a<o-1;a++)isNaN(r[2*a])||isNaN(r[2*a+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*a],r[2*a+1]),isNaN(r[2*a+2])||isNaN(r[2*a+3])?n.push(NaN,NaN):n.push(r[2*a],r[2*a+3]));n.push(r[i-2],r[i-1])}else n=r;var c=!1;for(a=0;a<n.length;a++)if(isNaN(n[a])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS?\"rect\":h.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var f=n[0],p=n[1];for(a=0;a<n.length;a+=2)isNaN(n[a])||isNaN(n[a+1])?(n[a]=f,n[a+1]=p):(f=n[a],p=n[a+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,a,i){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),h=r.length/2,f={};function p(t,a){var i=a._id.charAt(0),o=e[\"error_\"+i];if(o&&o.visible&&(\"linear\"===a.type||\"log\"===a.type)){for(var l=s(o),c={x:0,y:1}[i],u={x:[0,1,2,3],y:[2,3,0,1]}[i],p=new Float64Array(4*h),d=1/0,g=-1/0,v=0,m=0;v<h;v++,m+=4){var y=t[v];if(n(y)){var x=r[2*v+c],b=l(y,v),_=b[0],w=b[1];if(n(_)&&n(w)){var k=y-_,T=y+w;p[m+u[0]]=x-a.c2l(k),p[m+u[1]]=a.c2l(T)-x,p[m+u[2]]=0,p[m+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[i]={positions:r,errors:p,_bnds:[d,g]}}}return p(a,l),p(i,u),f},textPosition:function(t,e,r,n){var a,i=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(i),a=0;a<i;a++){var u=n.sizes?n.sizes[a]:n.size,f=Array.isArray(s)?s[a].size:s.size,p=Array.isArray(l)?l.length>1?l[a]:l[0]:l,d=Array.isArray(c)?c.length>1?c[a]:c[0]:c,g=v[p],m=v[d],y=u?u/.8+1:0,x=-m*y-.5*m;o.offset[a]=[g*y/f,x/f]}}return o}}},{\"../../components/drawing\":612,\"../../components/fx/helpers\":626,\"../../constants/interactions\":692,\"../../lib\":717,\"../../lib/gl_format_color\":714,\"../../plots/cartesian/axis_ids\":768,\"../../registry\":846,\"../scatter/make_bubble_size_func\":1137,\"../scatter/subtypes\":1144,\"./constants\":1173,\"./helpers\":1178,\"color-normalize\":122,\"fast-isnumeric\":228,\"svg-path-sdf\":533}],1175:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../registry\"),i=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),f=t(\"../scatter/fillcolor_defaults\"),p=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,d){function g(r,a){return n.coerce(t,e,o,r,a)}var v=!!t.marker&&i.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),y=c(t,e,d,g);if(y){var x=y<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",x),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,d,g),g(\"line.shape\")),l.hasMarkers(e)&&(u(t,e,r,d,g),g(\"marker.line.width\",v||m?1:0)),l.hasText(e)&&(g(\"texttemplate\"),p(t,e,d,g));var b=(e.line||{}).color,_=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&f(t,e,r,g);var w=a.getComponentMethod(\"errorbars\",\"supplyDefaults\");w(t,e,b||_||r,{axis:\"y\"}),w(t,e,b||_||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/constants\":1124,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"../scatter/xy_defaults\":1146,\"./attributes\":1171,\"./helpers\":1178}],1176:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../../components/color\"),i=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},v=n.extendFlat({},p);if(h.length||f.length){var m=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(v.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],v.color[r]=m||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;v.color[r]=y||(m?_:a.addOpacity(_,i))}}c.glText[u].update(v)}}},{\"../../components/color\":591,\"../../constants/interactions\":692,\"../../lib\":717}],1177:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var a=t.i;return\"x\"in t||(t.x=e._x[a]),\"y\"in t||(t.y=e._y[a]),n(t,e,r)}},{\"../scatter/format_labels\":1129}],1178:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1173}],1179:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=a.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=a.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=a.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=a.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=a.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=a.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var v=d&&d.gradient;v&&\"none\"!==v.type&&(f.mgt=Array.isArray(v.type)?v.type[h]:v.type,f.mgc=Array.isArray(v.color)?v.color[h]:v.color);var m=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=a.isArrayOrTypedArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=a.isArrayOrTypedArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var k={};k[t.index]=f;var T=a.extendFlat({},t,{color:i(o,f),x0:m-x,x1:m+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:k,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?T.text=f.htx:f.tx?T.text=f.tx:o.text&&(T.text=o.text),a.fillText(f,o,T),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,T),T}e.exports={hoverPoints:function(t,e,r,n){var a,i,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,v=d[0].trace,m=t.xa,y=t.ya,x=g.x,b=g.y,_=m.c2p(e),w=y.c2p(r),k=t.distance;if(g.tree){var T=m.p2c(_-k),M=m.p2c(_+k),A=y.p2c(w-k),S=y.p2c(w+k);a=\"x\"===n?g.tree.range(Math.min(T,M),Math.min(y._rl[0],y._rl[1]),Math.max(T,M),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(T,M),Math.min(A,S),Math.max(T,M),Math.max(A,S))}else a=g.ids;var E=k;if(\"x\"===n)for(c=0;c<a.length;c++)s=x[a[c]],(u=Math.abs(m.c2p(s)-_))<E&&(E=u,h=y.c2p(b[a[c]])-w,p=Math.sqrt(u*u+h*h),i=a[c]);else for(c=a.length-1;c>-1;c--)s=x[a[c]],l=b[a[c]],u=m.c2p(s)-_,h=y.c2p(l)-w,(f=Math.sqrt(u*u+h*h))<E&&(E=p=f,i=a[c]);return t.index=i,t.distance=E,t.dxy=p,void 0===i?[t]:[o(t,x,b,v)]},calcHover:o}},{\"../../lib\":717,\"../../registry\":846,\"../scatter/get_trace_color\":1130}],1180:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":776,\"../scatter/cross_trace_defaults\":1126,\"../scatter/marker_colorbar\":1138,\"./attributes\":1171,\"./calc\":1172,\"./defaults\":1175,\"./format_labels\":1177,\"./hover\":1179,\"./plot\":1181,\"./select\":1183}],1181:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),a=t(\"regl-line2d\"),i=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../lib/prepare_regl\"),c=t(\"../scatter/subtypes\"),u=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function f(t,e,r){var n=t._size,a=t.width,i=t.height;return[n.l+e.domain[0]*n.w,n.b+r.domain[0]*n.h,a-n.r-(1-e.domain[1])*n.w,i-n.t-(1-r.domain[1])*n.h]}e.exports=function(t,e,r){if(r.length){var p,d,g=t._fullLayout,v=e._scene,m=e.xaxis,y=e.yaxis;if(v)if(l(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var x=v.count,b=g._glcanvas.data()[0].regl;if(u(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=i(b)),!0===v.line2d&&(v.line2d=a(b)),!0===v.scatter2d&&(v.scatter2d=n(b)),!0===v.fill2d&&(v.fill2d=a(b)),!0===v.glText)for(v.glText=new Array(x),p=0;p<x;p++)v.glText[p]=new o(b);if(v.glText){if(x>v.glText.length){var _=x-v.glText.length;for(p=0;p<_;p++)v.glText.push(new o(b))}else if(x<v.glText.length){var w=v.glText.length-x;v.glText.splice(x,w).forEach(function(t){t.destroy()})}for(p=0;p<x;p++)v.glText[p].update(v.textOptions[p])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map(function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t}),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,x),v.fill2d&&(v.fillOptions=v.fillOptions.map(function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var a,i,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var h,f,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(h=0;h<d.length&&isNaN(d[h+1]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f+1]);)f-=2;0!==d[h+1]&&(p=[d[h],0]),p=p.concat(d.slice(h,f+2)),0!==d[f+1]&&(p=p.concat([d[f],0]))}else if(\"tozerox\"===s.fill){for(h=0;h<d.length&&isNaN(d[h]);)h+=2;for(f=d.length-2;f>h&&isNaN(d[f]);)f-=2;0!==d[h]&&(p=[0,d[h+1]]),p=p.concat(d.slice(h,f+2)),0!==d[f]&&(p=p.concat([0,d[f+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],a=0,i=0;i<d.length;i+=2)(isNaN(d[i])||isNaN(d[i+1]))&&((p=p.concat(d.slice(a,i))).push(d[a],d[a+1]),a=i+2);p=p.concat(d.slice(a)),a&&p.push(d[a],d[a+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var 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t=r.count,e=r.fill2d,a=r.error2d,i=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),i&&r.lineOptions[h]&&i.draw(h),a&&(r.errorXOptions[h]&&a.draw(h),r.errorYOptions[h]&&a.draw(h+t)),o&&r.markerOptions[h])if(u[h].length){var f=n.repeat([],r.count);f[h]=u[h],o.draw(f)}else 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i;var p=n.hasText(o),d=n.hasMarkers(o),g=!d&&!p;if(!0!==o.visible||g)return i;var v=[],m=[];if(!1!==e&&!e.degenerate)for(var y=0;y<l;y++)e.contains([s.xpx[y],s.ypx[y]],!1,y,t)?(v.push(y),i.push({pointNumber:y,x:c[y],y:u[y]})):m.push(y);if(d){var x=h.scatter2d;if(v.length||m.length){if(!h.selectBatch[f].length&&!h.unselectBatch[f].length){var b=new Array(h.count);b[f]=h.markerUnselectedOptions[f],x.update.apply(x,b)}}else{var _=new Array(h.count);_[f]=h.markerOptions[f],x.update.apply(x,_)}}return h.selectBatch[f]=v,h.unselectBatch[f]=m,p&&a(r),i}},{\"../scatter/subtypes\":1144,\"./edit_style\":1176}],1184:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,a=t(\"../../plots/template_attributes\").texttemplateAttrs,i=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,h=t(\"../../plot_api/edit_types\").overrideAll,f=i.line,p=i.marker;e.exports=h({lon:i.lon,lat:i.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:a({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:f.color,width:f.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:i.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/mapbox/layout_attributes\":822,\"../../plots/template_attributes\":841,\"../scatter/attributes\":1120,\"../scattergeo/attributes\":1161}],1185:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),a=t(\"../../lib\"),i=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),h=t(\"../../plots/mapbox/convert_text_opts\"),f=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function v(t){return a.isArrayOrTypedArray(t)?function(t){return t}:t?function(){return t}:m}function m(){return\"\"}function y(t){return t[0]===i}e.exports=function(t,e){var r,i=e[0].trace,x=!0===i.visible&&0!==i._length,b=\"none\"!==i.fill,_=u.hasLines(i),w=u.hasMarkers(i),k=u.hasText(i),T=w&&\"circle\"===i.marker.symbol,M=w&&\"circle\"!==i.marker.symbol,A=g(),S=g(),E=g(),L=g(),C={fill:A,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(A.geojson=o.makePolygon(r),A.layout.visibility=\"visible\",a.extendFlat(A.paint,{\"fill-color\":i.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",a.extendFlat(S.paint,{\"line-width\":i.line.width,\"line-color\":i.line.color,\"line-opacity\":i.opacity})),T){var P=function(t){var e,r,i,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=a.isArrayOrTypedArray(h.color),d=a.isArrayOrTypedArray(h.size),g=a.isArrayOrTypedArray(h.opacity);function v(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):a.identity);d&&(i=c(u));g&&(o=function(t){var e=n(t)?+a.constrain(t,0,1):0;return v(e)});var m,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),i&&(w.mrc=b.mrc=i(b.ms)),o&&(w.mo=o(b.mo)),f&&(w.selected=b.selected||0),x.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_},properties:w})}}if(f)for(m=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var k=x[e].properties;m.selectedOpacityFn&&(k.mo=v(m.selectedOpacityFn(k))),m.selectedColorFn&&(k.mcc=m.selectedColorFn(k)),m.selectedSizeFn&&(k.mrc=m.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||m&&m.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||m&&m.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(T=h.size,T/2),mo:g||m&&m.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:v(h.opacity)};var T}(e);E.geojson=P.geojson,E.layout.visibility=\"visible\",a.extendFlat(E.paint,{\"circle-color\":P.mcc,\"circle-radius\":P.mrc,\"circle-opacity\":P.mo})}if((M||k)&&(L.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,i=(n.marker||{}).symbol,o=\"circle\"!==i?v(i):m,s=u.hasText(n)?v(n.text):m,l=[],c=0;c<t.length;c++){var h=t[c];if(!y(h.lonlat)){var g,x=n.texttemplate;if(x){var b=Array.isArray(x)?x[c]||\"\":x,_=n._module.formatLabels(h,n,r),w={};f(w,n,h.i);var k=n._meta||{};g=a.texttemplateString(b,_,r._d3locale,w,h,k)}else g=s(h.tx);g&&(g=g.replace(p,\"\").replace(d,\"\\n\")),l.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:h.lonlat},properties:{symbol:o(h.mx),text:g}})}}return{type:\"FeatureCollection\",features:l}}(e,t),a.extendFlat(L.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),M&&(a.extendFlat(L.layout,{\"icon-size\":i.marker.size/10}),a.extendFlat(L.paint,{\"icon-opacity\":i.opacity*i.marker.opacity,\"icon-color\":i.marker.color})),k)){var O=(i.marker||{}).size,z=h(i.textposition,O);a.extendFlat(L.layout,{\"text-size\":i.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset}),a.extendFlat(L.paint,{\"text-color\":i.textfont.color,\"text-opacity\":i.opacity})}return C}},{\"../../components/colorscale\":603,\"../../components/drawing\":612,\"../../components/fx/helpers\":626,\"../../constants/numerical\":693,\"../../lib\":717,\"../../lib/geojson_utils\":712,\"../../lib/svg_text_utils\":741,\"../../plots/mapbox/convert_text_opts\":819,\"../scatter/make_bubble_size_func\":1137,\"../scatter/subtypes\":1144,\"fast-isnumeric\":228}],1186:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),i=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function h(r,a){return n.coerce(t,e,c,r,a)}if(function(t,e,r){var n=r(\"lon\")||[],a=r(\"lat\")||[],i=Math.min(n.length,a.length);return e._length=i,i}(0,e,h)){if(h(\"text\"),h(\"texttemplate\"),h(\"hovertext\"),h(\"hovertemplate\"),h(\"mode\"),h(\"below\"),a.hasLines(e)&&(o(t,e,r,u,h,{noDash:!0}),h(\"connectgaps\")),a.hasMarkers(e)){i(t,e,r,u,h,{noLine:!0});var f=e.marker;\"circle\"!==f.symbol&&(n.isArrayOrTypedArray(f.size)&&(f.size=f.size[0]),n.isArrayOrTypedArray(f.color)&&(f.color=f.color[0]))}a.hasText(e)&&s(t,e,u,h,{noSelect:!0}),h(\"fill\"),\"none\"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else e.visible=!1}},{\"../../lib\":717,\"../scatter/fillcolor_defaults\":1128,\"../scatter/line_defaults\":1133,\"../scatter/marker_defaults\":1139,\"../scatter/subtypes\":1144,\"../scatter/text_defaults\":1145,\"./attributes\":1184}],1187:[function(t,e,r){\"use strict\";e.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},{}],1188:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var a={},i=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return a.lonLabel=n.tickText(i,i.c2l(o[0]),!0).text,a.latLabel=n.tickText(i,i.c2l(o[1]),!0).text,a}},{\"../../plots/cartesian/axes\":765}],1189:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),a=t(\"../../lib\"),i=t(\"../scatter/get_trace_color\"),o=a.fillText,s=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,h=t.ya,f=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(l,function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=a.modHalf(e[0],360),i=e[1],o=f.project([n,i]),l=o.x-u.c2p([d,i]),c=o.y-h.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)},t),!1!==t.index){var g=l[t.index],v=g.lonlat,m=[a.modHalf(v[0],360)+p,v[1]],y=u.c2p(m),x=h.c2p(m),b=g.mrc||1;t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b;var _={};_[c.subplot]={_subplot:f};var w=c._module.formatLabels(g,c,_);return t.lonLabel=w.lonLabel,t.latLabel=w.latLabel,t.color=i(c,g),t.extraText=function(t,e,r){if(t.hovertemplate)return;var n=(e.hi||t.hoverinfo).split(\"+\"),a=-1!==n.indexOf(\"all\"),i=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];function u(t){return t+\"\\xb0\"}a||i&&s?c.push(\"(\"+u(l[0])+\", \"+u(l[1])+\")\"):i?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1]));(a||-1!==n.indexOf(\"text\"))&&o(e,t,c);return c.join(\"<br>\")}(c,g,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":630,\"../../constants/numerical\":693,\"../../lib\":717,\"../scatter/get_trace_color\":1130}],1190:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"../scattergeo/calc\"),plot:t(\"./plot\"),hoverPoints:t(\"./hover\"),eventData:t(\"./event_data\"),selectPoints:t(\"./select\"),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:t(\"../../plots/mapbox\"),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../plots/mapbox\":820,\"../scatter/marker_colorbar\":1138,\"../scattergeo/calc\":1162,\"./attributes\":1184,\"./defaults\":1186,\"./event_data\":1187,\"./format_labels\":1188,\"./hover\":1189,\"./plot\":1191,\"./select\":1192}],1191:[function(t,e,r){\"use strict\";var n=t(\"./convert\"),a=t(\"../../plots/mapbox/constants\").traceLayerPrefix,i=[\"fill\",\"line\",\"circle\",\"symbol\"];function 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n=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../mesh3d/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),showlegend:s({},o.showlegend,{dflt:!1})};s(l,n(\"\",{colorAttr:\"u/v/w 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e,r,a,i,s,l,c,u,h,f,p,d,g=t._x,v=t._y,m=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,k=-1/0,T=1/0,M=\"\";for(y&&(c=g[0],h=v[0],p=m[0]),y>1&&(u=g[y-1],f=v[y-1],d=m[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,v[e]),w=Math.min(w,v[e]),k=Math.max(k,m[e]),T=Math.min(T,m[e]),i||g[e]===c||(i=!0,M+=\"x\"),s||v[e]===h||(s=!0,M+=\"y\"),l||m[e]===p||(l=!0,M+=\"z\");i||(M+=\"x\"),s||(M+=\"y\"),l||(M+=\"z\");var A=o(t._x),S=o(t._y),E=o(t._z);M=(M=(M=M.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(h>f?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var L=function(){y=0,A=[],S=[],E=[]};(!y||y<A.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?g:\"y\"===t?v:m},P=function(t){return\"x\"===t?A:\"y\"===t?S:E},O=function(t){return t[y-1]<t[0]?-1:1},z=C(M[1]),I=C(M[3]),D=C(M[5]),R=P(M[1]).length,F=P(M[3]).length,B=P(M[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},V=O(C(M[1])),U=O(C(M[3])),q=O(C(M[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(a=0;a<R-1;a++){var H=j(e,r,a),G=j(e,r,a+1),Y=j(e,r+1,a),W=j(e+1,r,a);if(z[H]*V<z[G]*V&&I[H]*U<I[Y]*U&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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m=n[u];r.xMax=Math.max(r.xMax,m),r.xMin=Math.min(r.xMin,m);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:i}},{\"../../components/colorscale/calc\":599,\"../../lib\":717}],1228:[function(t,e,r){\"use strict\";var n=t(\"gl-streamtube3d\"),a=n.createTubeMesh,i=t(\"../../lib\"),o=t(\"../../lib/gl_format_color\").parseColorScale,s=t(\"../../components/colorscale\").extractOpts,l=t(\"../../plots/gl3d/zip3\"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,a=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=a[c[e]];return 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O.lightPosition=[I.x,I.y,I.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var a=e[n],i=r[c[n]];return a.l2c(t)/i}if(t.object===this.mesh){var a=t.data.position,i=t.data.velocity;return t.traceCoordinate=[n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),i=a(r,n),o=new u(t,e.uid);return 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t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{\"../../plots/gl3d\":805,\"./attributes\":1226,\"./calc\":1227,\"./convert\":1228,\"./defaults\":1229}],1231:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../pie/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,a){var i,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,h=!s.uniformtext.mode&&y.hasTransition(r);(u(\"sunburst\",s),(i=l.selectAll(\"g.trace.sunburst\").data(e,function(t){return t[0].trace.uid})).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),i.order(),h)?(a&&(o=a()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",function(){o&&o()}).each(\"interrupt\",function(){o&&o()}).each(function(){l.selectAll(\"g.trace\").each(function(e){x(t,e,this,r)})})):(i.each(function(e){x(t,e,this,r)}),s.uniformtext.mode&&g(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&i.exit().remove()},r.formatSliceLabel=function(t,e,r,n,a){var i=r.texttemplate,s=r.textinfo;if(!(i||s&&\"none\"!==s))return\"\";var l=a.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=y.isHierarchyRoot(t),p=y.getParent(h,t),d=y.getValue(t);if(!i){var g,v=s.split(\"+\"),m=function(t){return-1!==v.indexOf(t)},x=[];if(m(\"label\")&&u.label&&x.push(u.label),u.hasOwnProperty(\"v\")&&m(\"value\")&&x.push(y.formatValue(u.v,l)),!f){m(\"current path\")&&x.push(y.getPath(t.data));var b=0;m(\"percent parent\")&&b++,m(\"percent entry\")&&b++,m(\"percent root\")&&b++;var _=b>1;if(b){var w,k=function(t){g=y.formatPercent(w,l),_&&(g+=\" of \"+t),x.push(g)};m(\"percent parent\")&&!f&&(w=d/y.getValue(p),k(\"parent\")),m(\"percent entry\")&&(w=d/y.getValue(e),k(\"entry\")),m(\"percent root\")&&(w=d/y.getValue(h),k(\"root\"))}}return m(\"text\")&&(g=o.castOption(r,u.i,\"text\"),o.isValidTextValue(g)&&x.push(g)),x.join(\"<br>\")}var T=o.castOption(r,u.i,\"texttemplate\");if(!T)return\"\";var M={};u.label&&(M.label=u.label),u.hasOwnProperty(\"v\")&&(M.value=u.v,M.valueLabel=y.formatValue(u.v,l)),M.currentPath=y.getPath(t.data),f||(M.percentParent=d/y.getValue(p),M.percentParentLabel=y.formatPercent(M.percentParent,l),M.parent=y.getPtLabel(p)),M.percentEntry=d/y.getValue(e),M.percentEntryLabel=y.formatPercent(M.percentEntry,l),M.entry=y.getPtLabel(e),M.percentRoot=d/y.getValue(h),M.percentRootLabel=y.formatPercent(M.percentRoot,l),M.root=y.getPtLabel(h),u.hasOwnProperty(\"color\")&&(M.color=u.color);var A=o.castOption(r,u.i,\"text\");return(o.isValidTextValue(A)||\"\"===A)&&(M.text=A),M.customdata=o.castOption(r,u.i,\"customdata\"),o.texttemplateString(T,M,a._d3locale,M,r._meta||{})}},{\"../../components/drawing\":612,\"../../lib\":717,\"../../lib/svg_text_utils\":741,\"../bar/style\":870,\"../bar/uniform_text\":872,\"../pie/plot\":1103,\"./constants\":1234,\"./fx\":1236,\"./helpers\":1237,\"./style\":1242,d3:165,\"d3-hierarchy\":159}],1242:[function(t,e,r){\"use strict\";var n=t(\"d3\"),a=t(\"../../components/color\"),i=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=i.castOption(r,s,\"marker.line.color\")||a.defaultLine,c=i.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(a.fill,n.color).call(a.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each(function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each(function(t){n.select(this).call(s,t,r)})})},styleOne:s}},{\"../../components/color\":591,\"../../lib\":717,\"../bar/uniform_text\":872,d3:165}],1243:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),a=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/attributes\"),s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/edit_types\").overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:i(),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},a(\"\",{colorAttr:\"z or 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0},{\"../../components/color\":591,\"../../components/colorscale/attributes\":598,\"../../lib/extend\":708,\"../../plot_api/edit_types\":748,\"../../plots/attributes\":762,\"../../plots/template_attributes\":841}],1244:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":599}],1245:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),a=t(\"ndarray\"),i=t(\"ndarray-homography\"),o=t(\"ndarray-fill\"),s=t(\"../../lib\").isArrayOrTypedArray,l=t(\"../../lib/gl_format_color\").parseColorScale,c=t(\"../../lib/str2rgbarray\"),u=t(\"../../components/colorscale\").extractOpts,h=t(\"../heatmap/interp2d\"),f=t(\"../heatmap/find_empties\");function p(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var d=p.prototype;d.getXat=function(t,e,r,n){var a=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?a:n.d2l(a,0,r)},d.getYat=function(t,e,r,n){var a=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?a:n.d2l(a,0,r)},d.getZat=function(t,e,r,n){var a=this.data.z[e][t];return null===a&&this.data.connectgaps&&this.data._interpolatedZ&&(a=this.data._interpolatedZ[e][t]),void 0===r?a:n.d2l(a,0,r)},d.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),a=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,a],t.traceCoordinate=[this.getXat(n,a),this.getYat(n,a),this.getZat(n,a)],t.dataCoordinate=[this.getXat(n,a,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,a,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,a,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var i=0;i<3;i++){var o=t.dataCoordinate[i];null!=o&&(t.dataCoordinate[i]*=this.scene.dataScale[i])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[a]&&void 0!==s[a][n]?t.textLabel=s[a][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<g.length;r++){var n=g[r];e.push(v(t,n))}return e}function y(t){for(var e=m(t),r=t,n=0;n<g.length;n++)if(e[n]>0){r=g[n];break}return r}function x(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),a=1,i=0;i<g.length;i++)a*=Math.pow(g[i],Math.max(r[i],n[i]));return a}}d.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),a=this.getXat(e,0);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r},d.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),a=this.getYat(0,e);r[e-1]=a!==n&&null!=n&&null!=a?Math.abs(a-n):0}var i=0;for(e=1;e<t;e++)i+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(i/r[e-1]);return r};var b=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],_=b[9],w=b[13];function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}d.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=x(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<_;)r*=2;for(;r>w;)r--,r/=y(r),++r<_&&(r=w);var n=Math.round(r/t);return n>1?n:1},d.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],o=t[0].shape[1],s=0|Math.floor(t[0].shape[0]*e+1),l=0|Math.floor(t[0].shape[1]*r+1),c=1+n+1,u=1+o+1,h=a(new Float32Array(c*u),[c,u]),f=0;f<t.length;++f){this.surface.padField(h,t[f]);var p=a(new Float32Array(s*l),[s,l]);i(p,h,[e,0,0,0,r,0,0,0,1]),t[f]=p}},d.setContourLevels=function(){var 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+       "                        {\"responsive\": true}\n",
+       "                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('98d56715-7cb5-4fed-9166-1817434e92ec');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })\n",
+       "                };\n",
+       "                });\n",
+       "            </script>\n",
+       "        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = px.scatter(all_beer, x=\"abv\", y=\"ibu\")\n",
+    "fig.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "hovertemplate": "<b>%{hovertext}</b><br><br>state= OR<br>abv=%{x}<br>ibu=%{y}<extra></extra>",
+         "hovertext": [
+          "Pub Beer",
+          "Ginja Ninja",
+          "Cherried Away",
+          "Rhubarbarian",
+          "BrightCider",
+          "P-Town Pilsner",
+          "Klickitat Pale Ale",
+          "Yellow Wolf Imperial IPA",
+          "Trolley Stop Stout",
+          "Bitter Bitch Imperial IPA",
+          "Poop Deck Porter",
+          "Old Red Beard Amber Ale",
+          "Hop in the ‘Pool Helles",
+          "Ultra Gnar Gnar IPA",
+          "In-Tents India Pale Lager",
+          "Lost Meridian Wit",
+          "Celestial Meridian Cascadian Dark Lager",
+          "Yellow Collar",
+          "Green Collar",
+          "Post Time Kölsch",
+          "Couch Select Lager",
+          "Hopportunity Knocks IPA",
+          "Pilot Rock Porter",
+          "Caldera Pale Ale",
+          "Lawnmower Lager",
+          "Ashland Amber Ale (2009)",
+          "Caldera IPA (2009)",
+          "Caldera IPA (2007)",
+          "Caldera Pale Ale (2010)",
+          "Caldera Pale Ale (2009)",
+          "Caldera Pale Ale (2005)",
+          "Caldera Pale Ale (2007)",
+          "Caldera Pale Ale (2011)",
+          "Ashland Amber Ale",
+          "Caldera IPA",
+          "Granny Smith Hard Apple Cider",
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+       "                        {\"responsive\": true}\n",
+       "                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('68c6ea5c-9fff-4735-b8c8-d7832f3fd182');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })\n",
+       "                };\n",
+       "                });\n",
+       "            </script>\n",
+       "        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = px.scatter(all_beer, x=\"abv\", y=\"ibu\", color='state', hover_name='name_beer')\n",
+    "fig.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "hovertemplate": "<b>%{hovertext}</b><br><br>state= OR<br>abv=%{x}<br>ibu=%{y}<extra></extra>",
+         "hovertext": [
+          "Pub Beer",
+          "Ginja Ninja",
+          "Cherried Away",
+          "Rhubarbarian",
+          "BrightCider",
+          "P-Town Pilsner",
+          "Klickitat Pale Ale",
+          "Yellow Wolf Imperial IPA",
+          "Trolley Stop Stout",
+          "Bitter Bitch Imperial IPA",
+          "Poop Deck Porter",
+          "Old Red Beard Amber Ale",
+          "Hop in the ‘Pool Helles",
+          "Ultra Gnar Gnar IPA",
+          "In-Tents India Pale Lager",
+          "Lost Meridian Wit",
+          "Celestial Meridian Cascadian Dark Lager",
+          "Yellow Collar",
+          "Green Collar",
+          "Post Time Kölsch",
+          "Couch Select Lager",
+          "Hopportunity Knocks IPA",
+          "Pilot Rock Porter",
+          "Caldera Pale Ale",
+          "Lawnmower Lager",
+          "Ashland Amber Ale (2009)",
+          "Caldera IPA (2009)",
+          "Caldera IPA (2007)",
+          "Caldera Pale Ale (2010)",
+          "Caldera Pale Ale (2009)",
+          "Caldera Pale Ale (2005)",
+          "Caldera Pale Ale (2007)",
+          "Caldera Pale Ale (2011)",
+          "Ashland Amber Ale",
+          "Caldera IPA",
+          "Granny Smith Hard Apple Cider",
+          "Dry Hard Apple Cider",
+          "Cascadian Dark Ale",
+          "Wheat the People",
+          "Mirror Pond Pale Ale",
+          "Loki Red Ale",
+          "Peaches & Cream",
+          "Quaff India Style Session Ale",
+          "Loki Red Ale (2013)",
+          "Mjolnir Imperial IPA",
+          "Fearless Scottish Ale",
+          "Quick WIT",
+          "The Optimist",
+          "Suicide Squeeze IPA",
+          "Java the Hop",
+          "Next Adventure Black IPA",
+          "3-Way IPA (2013)",
+          "Tender Loving Empire NWPA",
+          "Quick Wit Belgianesque Ale",
+          "Sunrise Oatmeal Pale Ale",
+          "Cavatica Stout",
+          "1811 Lager",
+          "Vortex IPA",
+          "Descender IPA",
+          "Sweet As Pacific Ale",
+          "Mountain Rescue Pale Ale",
+          "Double D Blonde",
+          "Festeroo Winter Ale",
+          "Proxima IPA",
+          "Double D Blonde (2013)",
+          "541 American Lager",
+          "Alphadelic IPA",
+          "Alphadelic IPA (2011)",
+          "Double D Blonde (2011)",
+          "Hard Cider",
+          "Totally Radler",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Nonstop Hef Hop",
+          "Rise Up Red",
+          "Survival Stout",
+          "Hopworks IPA",
+          "Abominable Winter Ale",
+          "Pigwar White India Pale Ale",
+          "Rise-Up Red (2014)",
+          "Abominable Winter Ale (2012)",
+          "HUB Lager",
+          "Hopworks IPA (2012)",
+          "Mac's Highlander Pale Ale (2000)",
+          "Mac's Scottish Style Amber Ale (2000)",
+          "Undun Blonde Ale",
+          "CuDa Cascadian Dark Ale",
+          "Old Grogham Imperial India Pale Ale",
+          "Old Grogham Imperial India Pale Ale (2012)",
+          "CuDa Cascadian Dark Ale (2012)",
+          "Undun Blonde Ale (2012)",
+          "Watershed IPA",
+          "Oakshire Amber Ale",
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+       "                        {\"responsive\": true}\n",
+       "                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('9a788f0f-486d-4df8-a032-4dc7d095f488');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })\n",
+       "                };\n",
+       "                });\n",
+       "            </script>\n",
+       "        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = px.scatter(all_beer, x=\"abv\", y=\"ibu\", color='state', hover_name='name_beer')\n",
+    "fig.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mn_beer = all_beer[all_beer['state'].str.contains('MN')].copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "customdata": [
+          [
+           "Bauhaus Brew Labs"
+          ],
+          [
+           "Bauhaus Brew Labs"
+          ],
+          [
+           "Bauhaus Brew Labs"
+          ],
+          [
+           "Bauhaus Brew Labs"
+          ],
+          [
+           "Bent Brewstillery"
+          ],
+          [
+           "Bent Brewstillery"
+          ],
+          [
+           "Bent Brewstillery"
+          ],
+          [
+           "Bent Paddle Brewing Company"
+          ],
+          [
+           "Bent Paddle Brewing Company"
+          ],
+          [
+           "Bent Paddle Brewing Company"
+          ],
+          [
+           "Bent Paddle Brewing Company"
+          ],
+          [
+           "Bent Paddle Brewing Company"
+          ],
+          [
+           "Bent Paddle Brewing Company"
+          ],
+          [
+           "Big Wood Brewery"
+          ],
+          [
+           "Big Wood Brewery"
+          ],
+          [
+           "Big Wood Brewery"
+          ],
+          [
+           "Big Wood Brewery"
+          ],
+          [
+           "Big Wood Brewery"
+          ],
+          [
+           "Indeed Brewing Company"
+          ],
+          [
+           "Indeed Brewing Company"
+          ],
+          [
+           "Indeed Brewing Company"
+          ],
+          [
+           "Indeed Brewing Company"
+          ],
+          [
+           "Indeed Brewing Company"
+          ],
+          [
+           "Indeed Brewing Company"
+          ],
+          [
+           "Lift Bridge Brewing Company"
+          ],
+          [
+           "Lift Bridge Brewing Company"
+          ],
+          [
+           "NorthGate Brewing "
+          ],
+          [
+           "NorthGate Brewing "
+          ],
+          [
+           "NorthGate Brewing "
+          ],
+          [
+           "NorthGate Brewing "
+          ],
+          [
+           "NorthGate Brewing "
+          ],
+          [
+           "NorthGate Brewing "
+          ],
+          [
+           "Summit Brewing Company"
+          ],
+          [
+           "Summit Brewing Company"
+          ],
+          [
+           "Summit Brewing Company"
+          ],
+          [
+           "Summit Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Surly Brewing Company"
+          ],
+          [
+           "Third Street Brewhouse"
+          ],
+          [
+           "Third Street Brewhouse"
+          ],
+          [
+           "Third Street Brewhouse"
+          ],
+          [
+           "Third Street Brewhouse"
+          ],
+          [
+           "Tonka Beer Company"
+          ],
+          [
+           "Tonka Beer Company"
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+       "                        {\"responsive\": true}\n",
+       "                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('a4f901d0-a078-4286-9a52-94e8764a19d1');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })\n",
+       "                };\n",
+       "                });\n",
+       "            </script>\n",
+       "        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = px.scatter(mn_beer, x=\"abv\", y=\"ibu\", color='state', hover_name='name_beer', hover_data=['name_brewery'])\n",
+    "fig.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/beer_analysis.py b/notebooks/beer_analysis.py
new file mode 100644
index 0000000..1f4deca
--- /dev/null
+++ b/notebooks/beer_analysis.py
@@ -0,0 +1,100 @@
+"""
+Beer Analysis - Using Jupyter Code Cells
+Accompanying article on https://pbpython.com/notebook-alternative.html
+"""
+# %%
+import pandas as pd
+import seaborn as sns
+import plotly.express as px
+# %%
+# Load in the Craft Beer analysis
+df_beers = pd.read_csv(
+    'https://github.com/nickhould/craft-beers-dataset/blob/master/data/processed/beers.csv?raw=True',
+    index_col=0)
+df_breweries = pd.read_csv(
+    'https://github.com/nickhould/craft-beers-dataset/blob/master/data/processed/breweries.csv?raw=True',
+    index_col=0)
+# %%
+sns.set_style('whitegrid')
+
+# %%
+df_beers.head()
+
+# %%
+df_breweries.head()
+
+# %%
+df_beers.info()
+
+# %%
+df_breweries.info()
+
+# %%
+all_beer = pd.merge(df_beers,
+                    df_breweries,
+                    how='left',
+                    left_on="brewery_id",
+                    right_on="id",
+                    suffixes=('_beer', '_brewery'))
+
+# %%
+all_beer.head()
+
+# %%
+# Useful to check for null values
+empty_data = all_beer.isna().sum()
+
+# %%
+all_beer.info()
+
+# %%
+all_beer['ounces'].plot(kind='hist', title='Beer Size')
+
+# %%
+all_beer['IPA'] = all_beer['style'].str.contains('IPA', case=False)
+
+# %%
+all_beer['IPA'].value_counts()
+
+# %%
+all_beer_types = all_beer['style'].value_counts()
+
+# %%
+sns.catplot(data=all_beer, x='IPA', y='ibu', kind='box')
+
+# %%
+sns.catplot(data=all_beer, x='IPA', y='ibu', kind='swarm')
+
+# %%
+fig = px.scatter(all_beer, x="abv", y="ibu")
+fig.show()
+
+# %%
+fig = px.scatter(all_beer,
+                 x="abv",
+                 y="ibu",
+                 color='state',
+                 hover_name='name_beer',
+                 hover_data=['name_brewery'])
+fig.show()
+
+# %%
+# Do some analysis on MN beers
+mn_beer = all_beer[all_beer['state'].str.contains('MN')].copy()
+
+# %%
+all_beer['state'].value_counts()
+
+# %%
+all_beer.describe()
+
+# %%
+# Any relationship betwee alcohol volume and IBU?
+fig = px.scatter(mn_beer,
+                 x="abv",
+                 y="ibu",
+                 hover_name='name_beer',
+                 hover_data=['name_brewery'])
+fig.show()
+
+# %%
diff --git a/notebooks/case_study_weather/1-dwd_konverter_download.ipynb b/notebooks/case_study_weather/1-dwd_konverter_download.ipynb
new file mode 100644
index 0000000..e3659cf
--- /dev/null
+++ b/notebooks/case_study_weather/1-dwd_konverter_download.ipynb
@@ -0,0 +1,109 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Import temperature data from the DWD and process it\n",
+    "\n",
+    "This notebook pulls historical temperature data from the DWD server and formats it for future use in other projects. The data is delivered in a hourly frequencs in a .zip file for each of the available weather stations. To use the data, we need everythin in a single .csv-file, all stations side-by-side. Also, we need the daily average.\n",
+    "\n",
+    "To reduce computing time, we also crop all data earlier than 2007. \n",
+    "\n",
+    "Files should be executed in the following pipeline:\n",
+    "* 1-dwd_konverter_download\n",
+    "* 2-dwd_konverter_extract\n",
+    "* 3-dwd_konverter_build_df\n",
+    "* 4-dwd_konverter_final_processing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1.) Download files from the DWD-API\n",
+    "Here we download all relevant files from the DWS Server. The DWD Server is http-based, so we scrape the download page for all links that match 'stundenwerte_TU_.\\*_hist.zip' and download them to the folder 'download'. \n",
+    "\n",
+    "Link to the relevant DWD-page: https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/hourly/air_temperature/historical/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Done\n"
+     ]
+    }
+   ],
+   "source": [
+    "import requests\n",
+    "import re\n",
+    "from bs4 import BeautifulSoup\n",
+    "from pathlib import Path\n",
+    "\n",
+    "# Set base values\n",
+    "download_folder = Path.cwd() / 'download'\n",
+    "base_url = 'https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/hourly/air_temperature/historical/'\n",
+    "\n",
+    "\n",
+    "# Initiate Session and get the Index-Page\n",
+    "with requests.Session() as s:\n",
+    "    resp = s.get(base_url)\n",
+    "\n",
+    "# Parse the Index-Page for all relevant <a href> \n",
+    "soup = BeautifulSoup(resp.content)\n",
+    "links = soup.findAll(\"a\", href=re.compile(\"stundenwerte_TU_.*_hist.zip\"))\n",
+    "\n",
+    "# For testing, only download 10 files\n",
+    "file_max = 10\n",
+    "dl_count = 0\n",
+    "\n",
+    "#Download the .zip files to the download_folder\n",
+    "for link in links:\n",
+    "    zip_response = requests.get(base_url + link['href'], stream=True)\n",
+    "    # Limit the downloads while testing\n",
+    "    dl_count += 1\n",
+    "    if dl_count > file_max:\n",
+    "        break\n",
+    "    with open(Path(download_folder) / link['href'], 'wb') as file:\n",
+    "        for chunk in zip_response.iter_content(chunk_size=128):\n",
+    "            file.write(chunk)  \n",
+    "    \n",
+    "print('Done')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/case_study_weather/2-dwd_konverter_extract.ipynb b/notebooks/case_study_weather/2-dwd_konverter_extract.ipynb
new file mode 100644
index 0000000..ac8d1c4
--- /dev/null
+++ b/notebooks/case_study_weather/2-dwd_konverter_extract.ipynb
@@ -0,0 +1,98 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Import temperature data from the DWD and process it\n",
+    "\n",
+    "This notebook pulls historical temperature data from the DWD server and formats it for future use in other projects. The data is delivered in a hourly frequencs in a .zip file for each of the available weather stations. To use the data, we need everythin in a single .csv-file, all stations side-by-side. Also, we need the daily average.\n",
+    "\n",
+    "To reduce computing time, we also crop all data earlier than 2007. \n",
+    "\n",
+    "Files should be executed in the following pipeline:\n",
+    "* 1-dwd_konverter_download\n",
+    "* 2-dwd_konverter_extract\n",
+    "* 3-dwd_konverter_build_df\n",
+    "* 4-dwd_konverter_final_processing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2.) Extract all .zip-archives\n",
+    "In this next step, we extract a single file from all the downloaded .zip files and save them to the 'import' folder. Beware, there is going to be a lot of data (~6 GB of .csv files)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Done'"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from pathlib import Path\n",
+    "import glob\n",
+    "import re\n",
+    "from zipfile import ZipFile\n",
+    "\n",
+    "# Folder definitions\n",
+    "download_folder = Path.cwd() / 'download'\n",
+    "import_folder = Path.cwd() / 'import'\n",
+    "\n",
+    "# Find all .zip files and generate a list\n",
+    "unzip_files = glob.glob('download/stundenwerte_TU_*_hist.zip')\n",
+    "\n",
+    "# Set the name pattern of the file we need\n",
+    "regex_name = re.compile('produkt.*')\n",
+    "\n",
+    "# Open all files, look for files that match ne regex pattern, extract to 'import'\n",
+    "for file in unzip_files:\n",
+    "    with ZipFile(file, 'r') as zipObj:\n",
+    "        list_of_filenames = zipObj.namelist()\n",
+    "        extract_filename = list(filter(regex_name.match, list_of_filenames))[0]\n",
+    "        zipObj.extract(extract_filename, import_folder)\n",
+    "\n",
+    "display('Done')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/case_study_weather/3-dwd_konverter_build_df.ipynb b/notebooks/case_study_weather/3-dwd_konverter_build_df.ipynb
new file mode 100644
index 0000000..accf54e
--- /dev/null
+++ b/notebooks/case_study_weather/3-dwd_konverter_build_df.ipynb
@@ -0,0 +1,488 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Import temperature data from the DWD and process it\n",
+    "\n",
+    "This notebook pulls historical temperature data from the DWD server and formats it for future use in other projects. The data is delivered in a hourly frequencs in a .zip file for each of the available weather stations. To use the data, we need everythin in a single .csv-file, all stations side-by-side. Also, we need the daily average.\n",
+    "\n",
+    "To reduce computing time, we also crop all data earlier than 2007. \n",
+    "\n",
+    "Files should be executed in the following pipeline:\n",
+    "* 1-dwd_konverter_download\n",
+    "* 2-dwd_konverter_extract\n",
+    "* 3-dwd_konverter_build_df\n",
+    "* 4-dwd_konverter_final_processing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3.) Import the .csv files into pandas and concat into a single df\n",
+    "Now we need to import everything that we have extracted. This operation is going to take some time (aprox 20 mins). If you want to save time, you can just delete a few of the .csv-files in the 'import' folder. The script works as well with only a few files. \n",
+    "\n",
+    "### Process individual files\n",
+    "The files are imported into a single df, stripped of unnecessary columns and filtered by date. Then we set a DateTimeIndex and concatenate them into the main_df. Because the loop takes a long time, we output some status messages, to ensure the process is still running. \n",
+    "### Process the concatenated main_df\n",
+    "Then we display some infos of the main_df so we can ensure that there are no errors, mainly to ensure all data-types are recognized correctly. Also, we drop duplicate entries, in case some of the .csv files were copied.\n",
+    "### Unstack and export\n",
+    "For the final step, we unstack the main_df and save it to a .csv and a .pkl file for the next step. Also, we display some output to get a grasp of what is going on. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Finished file: import/produkt_tu_stunde_20041101_20191231_00078.txt'"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'This is file 10'"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'Shape of the main_df is: (771356, 1)'"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "float    771356\n",
+       "Name: TT_TU, dtype: int64"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'Shape of the main_df is: (113952, 9)'"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"9\" halign=\"left\">TT_TU</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>STATIONS_ID</th>\n",
+       "      <th>3</th>\n",
+       "      <th>44</th>\n",
+       "      <th>71</th>\n",
+       "      <th>73</th>\n",
+       "      <th>78</th>\n",
+       "      <th>91</th>\n",
+       "      <th>96</th>\n",
+       "      <th>102</th>\n",
+       "      <th>125</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MESS_DATUM</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2007-01-01 00:00:00</th>\n",
+       "      <td>11.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>9.4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.7</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007-01-01 01:00:00</th>\n",
+       "      <td>12.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>11.4</td>\n",
+       "      <td>9.6</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10.4</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007-01-01 02:00:00</th>\n",
+       "      <td>12.3</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.4</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.9</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007-01-01 03:00:00</th>\n",
+       "      <td>11.5</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.3</td>\n",
+       "      <td>9.7</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.5</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007-01-01 04:00:00</th>\n",
+       "      <td>9.6</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.6</td>\n",
+       "      <td>10.2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.9</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    TT_TU                                      \n",
+       "STATIONS_ID           3   44  71  73    78    91  96    102 125\n",
+       "MESS_DATUM                                                     \n",
+       "2007-01-01 00:00:00  11.4 NaN NaN NaN  11.0   9.4 NaN   9.7 NaN\n",
+       "2007-01-01 01:00:00  12.0 NaN NaN NaN  11.4   9.6 NaN  10.4 NaN\n",
+       "2007-01-01 02:00:00  12.3 NaN NaN NaN   9.4  10.0 NaN   9.9 NaN\n",
+       "2007-01-01 03:00:00  11.5 NaN NaN NaN   9.3   9.7 NaN   9.5 NaN\n",
+       "2007-01-01 04:00:00   9.6 NaN NaN NaN   8.6  10.2 NaN   8.9 NaN"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"9\" halign=\"left\">TT_TU</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>STATIONS_ID</th>\n",
+       "      <th>3</th>\n",
+       "      <th>44</th>\n",
+       "      <th>71</th>\n",
+       "      <th>73</th>\n",
+       "      <th>78</th>\n",
+       "      <th>91</th>\n",
+       "      <th>96</th>\n",
+       "      <th>102</th>\n",
+       "      <th>125</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>37224.000000</td>\n",
+       "      <td>111003.000000</td>\n",
+       "      <td>88391.000000</td>\n",
+       "      <td>111471.000000</td>\n",
+       "      <td>113950.000000</td>\n",
+       "      <td>113950.000000</td>\n",
+       "      <td>6399.000000</td>\n",
+       "      <td>106379.000000</td>\n",
+       "      <td>82589.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>10.103922</td>\n",
+       "      <td>9.933213</td>\n",
+       "      <td>8.399764</td>\n",
+       "      <td>7.501486</td>\n",
+       "      <td>9.872268</td>\n",
+       "      <td>9.199869</td>\n",
+       "      <td>12.730255</td>\n",
+       "      <td>10.149991</td>\n",
+       "      <td>1.045942</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>7.200001</td>\n",
+       "      <td>14.445973</td>\n",
+       "      <td>8.779766</td>\n",
+       "      <td>47.537112</td>\n",
+       "      <td>7.281215</td>\n",
+       "      <td>8.400713</td>\n",
+       "      <td>23.189555</td>\n",
+       "      <td>10.728030</td>\n",
+       "      <td>86.520406</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>-13.600000</td>\n",
+       "      <td>-999.000000</td>\n",
+       "      <td>-999.000000</td>\n",
+       "      <td>-999.000000</td>\n",
+       "      <td>-16.200000</td>\n",
+       "      <td>-999.000000</td>\n",
+       "      <td>-999.000000</td>\n",
+       "      <td>-999.000000</td>\n",
+       "      <td>-999.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>4.900000</td>\n",
+       "      <td>2.200000</td>\n",
+       "      <td>2.800000</td>\n",
+       "      <td>4.700000</td>\n",
+       "      <td>3.400000</td>\n",
+       "      <td>7.250000</td>\n",
+       "      <td>5.700000</td>\n",
+       "      <td>1.800000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>9.900000</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>8.300000</td>\n",
+       "      <td>9.300000</td>\n",
+       "      <td>9.700000</td>\n",
+       "      <td>8.900000</td>\n",
+       "      <td>13.200000</td>\n",
+       "      <td>10.200000</td>\n",
+       "      <td>8.200000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>15.300000</td>\n",
+       "      <td>15.200000</td>\n",
+       "      <td>14.200000</td>\n",
+       "      <td>15.800000</td>\n",
+       "      <td>15.000000</td>\n",
+       "      <td>14.700000</td>\n",
+       "      <td>18.500000</td>\n",
+       "      <td>15.200000</td>\n",
+       "      <td>14.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>36.200000</td>\n",
+       "      <td>37.000000</td>\n",
+       "      <td>33.700000</td>\n",
+       "      <td>36.700000</td>\n",
+       "      <td>39.000000</td>\n",
+       "      <td>36.900000</td>\n",
+       "      <td>37.900000</td>\n",
+       "      <td>33.400000</td>\n",
+       "      <td>33.700000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    TT_TU                                              \\\n",
+       "STATIONS_ID           3              44            71             73    \n",
+       "count        37224.000000  111003.000000  88391.000000  111471.000000   \n",
+       "mean            10.103922       9.933213      8.399764       7.501486   \n",
+       "std              7.200001      14.445973      8.779766      47.537112   \n",
+       "min            -13.600000    -999.000000   -999.000000    -999.000000   \n",
+       "25%              5.000000       4.900000      2.200000       2.800000   \n",
+       "50%              9.900000      10.000000      8.300000       9.300000   \n",
+       "75%             15.300000      15.200000     14.200000      15.800000   \n",
+       "max             36.200000      37.000000     33.700000      36.700000   \n",
+       "\n",
+       "                                                                       \\\n",
+       "STATIONS_ID            78             91           96             102   \n",
+       "count        113950.000000  113950.000000  6399.000000  106379.000000   \n",
+       "mean              9.872268       9.199869    12.730255      10.149991   \n",
+       "std               7.281215       8.400713    23.189555      10.728030   \n",
+       "min             -16.200000    -999.000000  -999.000000    -999.000000   \n",
+       "25%               4.700000       3.400000     7.250000       5.700000   \n",
+       "50%               9.700000       8.900000    13.200000      10.200000   \n",
+       "75%              15.000000      14.700000    18.500000      15.200000   \n",
+       "max              39.000000      36.900000    37.900000      33.400000   \n",
+       "\n",
+       "                           \n",
+       "STATIONS_ID           125  \n",
+       "count        82589.000000  \n",
+       "mean             1.045942  \n",
+       "std             86.520406  \n",
+       "min           -999.000000  \n",
+       "25%              1.800000  \n",
+       "50%              8.200000  \n",
+       "75%             14.500000  \n",
+       "max             33.700000  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from IPython.display import clear_output\n",
+    "\n",
+    "from pathlib import Path\n",
+    "import glob\n",
+    "\n",
+    "\n",
+    "import_files = glob.glob('import/*')\n",
+    "out_file = Path.cwd() / \"export_uncleaned\" / \"to_clean\"\n",
+    "#msum_file=  Path.cwd() / \"export\" / \"monatssumme.csv\"\n",
+    "\n",
+    "obsolete_columns = [\n",
+    "    'QN_9',\n",
+    "    'RF_TU',\n",
+    "    'eor'\n",
+    "]\n",
+    "\n",
+    "main_df = pd.DataFrame()\n",
+    "i = 1\n",
+    "\n",
+    "for file in import_files:\n",
+    "\n",
+    "    # Read in the next file\n",
+    "    df = pd.read_csv(file, delimiter=\";\")\n",
+    "    # Prepare the df befor merging (Drop obsolete, convert to datetime, filter to date, set index)\n",
+    "    df.drop(columns=obsolete_columns, inplace=True)\n",
+    "    df[\"MESS_DATUM\"] = pd.to_datetime(df[\"MESS_DATUM\"], format=\"%Y%m%d%H\")\n",
+    "    df = df[df['MESS_DATUM']>= \"2007-01-01\"]\n",
+    "    df.set_index(['MESS_DATUM', 'STATIONS_ID'], inplace=True)\n",
+    "    \n",
+    "    # Merge to the main_df\n",
+    "    main_df = pd.concat([main_df, df])\n",
+    "    \n",
+    "    # Display some status messages\n",
+    "    clear_output(wait=True)\n",
+    "    display('Finished file: {}'.format(file), 'This is file {}'.format(i))\n",
+    "    display('Shape of the main_df is: {}'.format(main_df.shape))\n",
+    "    i+=1\n",
+    "\n",
+    "# Check if all types are correct\n",
+    "display(main_df['TT_TU'].apply(lambda x: type(x).__name__).value_counts())\n",
+    "    \n",
+    "# Make sure that to files or observations a duplicates, eg. scan the index for duplicate entries.\n",
+    "# The ~ is a bitwise operation, meaning it flips all bits. \n",
+    "main_df = main_df[~main_df.index.duplicated(keep='last')]\n",
+    "\n",
+    "\n",
+    "# Unstack the main_df\n",
+    "main_df = main_df.unstack('STATIONS_ID')\n",
+    "display('Shape of the main_df is: {}'.format(main_df.shape))\n",
+    "\n",
+    "# Save main_df to a .csv file and a pickle to continue working in the next cell. \n",
+    "main_df.to_pickle(Path(out_file).with_suffix('.pkl'))\n",
+    "main_df.to_csv(Path(out_file).with_suffix('.csv'), sep=\";\")\n",
+    "\n",
+    "display(main_df.head())\n",
+    "display(main_df.describe())\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/case_study_weather/4-dwd_konverter_final_processing.ipynb b/notebooks/case_study_weather/4-dwd_konverter_final_processing.ipynb
new file mode 100644
index 0000000..13bb693
--- /dev/null
+++ b/notebooks/case_study_weather/4-dwd_konverter_final_processing.ipynb
@@ -0,0 +1,601 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Import temperature data from the DWD and process it\n",
+    "\n",
+    "This notebook pulls historical temperature data from the DWD server and formats it for future use in other projects. The data is delivered in a hourly frequencs in a .zip file for each of the available weather stations. To use the data, we need everythin in a single .csv-file, all stations side-by-side. Also, we need the daily average.\n",
+    "\n",
+    "To reduce computing time, we also crop all data earlier than 2007. \n",
+    "\n",
+    "Files should be executed in the following pipeline:\n",
+    "* 1-dwd_konverter_download\n",
+    "* 2-dwd_konverter_extract\n",
+    "* 3-dwd_konverter_build_df\n",
+    "* 4-dwd_konverter_final_processing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4.) Final data processing\n",
+    "We load in the data that has been saved in the last step, so we don't need to calculate everything again it we pause the project and come back later. \n",
+    "### Data Cleaning\n",
+    "The data contains some errors, which need to be cleaned. You can see, by looking at the output of main_df.describe() in the last cell, that the minimum teperature on some stations is -999. That means that there is no plausible measurement for this particular hour. We change this to np.nan, so that we can safely calculate the avarage values. \n",
+    "### Change the frequency\n",
+    "Finally we resample the data to daily means."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"9\" halign=\"left\">TT_TU</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>STATIONS_ID</th>\n",
+       "      <th>3</th>\n",
+       "      <th>44</th>\n",
+       "      <th>71</th>\n",
+       "      <th>73</th>\n",
+       "      <th>78</th>\n",
+       "      <th>91</th>\n",
+       "      <th>96</th>\n",
+       "      <th>102</th>\n",
+       "      <th>125</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MESS_DATUM</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2011-12-31</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.88</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>1.19</td>\n",
+       "      <td>4.30</td>\n",
+       "      <td>2.43</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.80</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2012-01-01</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10.90</td>\n",
+       "      <td>8.14</td>\n",
+       "      <td>4.03</td>\n",
+       "      <td>10.96</td>\n",
+       "      <td>10.27</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.01</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2012-01-02</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.41</td>\n",
+       "      <td>6.18</td>\n",
+       "      <td>4.77</td>\n",
+       "      <td>7.57</td>\n",
+       "      <td>7.77</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6.48</td>\n",
+       "      <td>4.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2012-01-03</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6.14</td>\n",
+       "      <td>3.61</td>\n",
+       "      <td>4.46</td>\n",
+       "      <td>6.38</td>\n",
+       "      <td>5.28</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.63</td>\n",
+       "      <td>3.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2012-01-04</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.80</td>\n",
+       "      <td>2.48</td>\n",
+       "      <td>4.45</td>\n",
+       "      <td>5.46</td>\n",
+       "      <td>4.57</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.85</td>\n",
+       "      <td>1.94</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            TT_TU                                                 \n",
+       "STATIONS_ID   3      44    71    73     78     91  96    102   125\n",
+       "MESS_DATUM                                                        \n",
+       "2011-12-31    NaN   3.88  2.76  1.19   4.30   2.43 NaN  3.80   NaN\n",
+       "2012-01-01    NaN  10.90  8.14  4.03  10.96  10.27 NaN  9.01   NaN\n",
+       "2012-01-02    NaN   7.41  6.18  4.77   7.57   7.77 NaN  6.48  4.66\n",
+       "2012-01-03    NaN   6.14  3.61  4.46   6.38   5.28 NaN  5.63  3.51\n",
+       "2012-01-04    NaN   5.80  2.48  4.45   5.46   4.57 NaN  5.85  1.94"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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+       "\n",
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+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"9\" halign=\"left\">TT_TU</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>STATIONS_ID</th>\n",
+       "      <th>3</th>\n",
+       "      <th>44</th>\n",
+       "      <th>71</th>\n",
+       "      <th>73</th>\n",
+       "      <th>78</th>\n",
+       "      <th>91</th>\n",
+       "      <th>96</th>\n",
+       "      <th>102</th>\n",
+       "      <th>125</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1551.000000</td>\n",
+       "      <td>4629.000000</td>\n",
+       "      <td>3683.000000</td>\n",
+       "      <td>4652.000000</td>\n",
+       "      <td>4748.000000</td>\n",
+       "      <td>4748.000000</td>\n",
+       "      <td>267.000000</td>\n",
+       "      <td>4490.000000</td>\n",
+       "      <td>3935.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>10.103939</td>\n",
+       "      <td>10.088153</td>\n",
+       "      <td>8.411244</td>\n",
+       "      <td>9.686855</td>\n",
+       "      <td>9.872342</td>\n",
+       "      <td>9.208837</td>\n",
+       "      <td>13.193633</td>\n",
+       "      <td>10.220345</td>\n",
+       "      <td>8.466612</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>6.742460</td>\n",
+       "      <td>6.653983</td>\n",
+       "      <td>7.511708</td>\n",
+       "      <td>7.849776</td>\n",
+       "      <td>6.658399</td>\n",
+       "      <td>7.124324</td>\n",
+       "      <td>6.762327</td>\n",
+       "      <td>6.076649</td>\n",
+       "      <td>7.711229</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>-10.870000</td>\n",
+       "      <td>-10.710000</td>\n",
+       "      <td>-14.940000</td>\n",
+       "      <td>-14.320000</td>\n",
+       "      <td>-12.390000</td>\n",
+       "      <td>-15.710000</td>\n",
+       "      <td>-0.970000</td>\n",
+       "      <td>-8.170000</td>\n",
+       "      <td>-16.420000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>5.410000</td>\n",
+       "      <td>5.250000</td>\n",
+       "      <td>2.620000</td>\n",
+       "      <td>3.397500</td>\n",
+       "      <td>5.090000</td>\n",
+       "      <td>3.870000</td>\n",
+       "      <td>7.575000</td>\n",
+       "      <td>5.790000</td>\n",
+       "      <td>2.365000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>10.140000</td>\n",
+       "      <td>10.320000</td>\n",
+       "      <td>8.570000</td>\n",
+       "      <td>9.900000</td>\n",
+       "      <td>9.900000</td>\n",
+       "      <td>9.230000</td>\n",
+       "      <td>13.770000</td>\n",
+       "      <td>10.200000</td>\n",
+       "      <td>8.540000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>15.350000</td>\n",
+       "      <td>15.380000</td>\n",
+       "      <td>14.070000</td>\n",
+       "      <td>16.080000</td>\n",
+       "      <td>15.122500</td>\n",
+       "      <td>14.820000</td>\n",
+       "      <td>18.195000</td>\n",
+       "      <td>15.260000</td>\n",
+       "      <td>14.545000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>28.410000</td>\n",
+       "      <td>28.450000</td>\n",
+       "      <td>27.190000</td>\n",
+       "      <td>26.940000</td>\n",
+       "      <td>29.890000</td>\n",
+       "      <td>27.550000</td>\n",
+       "      <td>26.980000</td>\n",
+       "      <td>27.330000</td>\n",
+       "      <td>28.030000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   TT_TU                                                      \\\n",
+       "STATIONS_ID          3            44           71           73           78    \n",
+       "count        1551.000000  4629.000000  3683.000000  4652.000000  4748.000000   \n",
+       "mean           10.103939    10.088153     8.411244     9.686855     9.872342   \n",
+       "std             6.742460     6.653983     7.511708     7.849776     6.658399   \n",
+       "min           -10.870000   -10.710000   -14.940000   -14.320000   -12.390000   \n",
+       "25%             5.410000     5.250000     2.620000     3.397500     5.090000   \n",
+       "50%            10.140000    10.320000     8.570000     9.900000     9.900000   \n",
+       "75%            15.350000    15.380000    14.070000    16.080000    15.122500   \n",
+       "max            28.410000    28.450000    27.190000    26.940000    29.890000   \n",
+       "\n",
+       "                                                                \n",
+       "STATIONS_ID          91          96           102          125  \n",
+       "count        4748.000000  267.000000  4490.000000  3935.000000  \n",
+       "mean            9.208837   13.193633    10.220345     8.466612  \n",
+       "std             7.124324    6.762327     6.076649     7.711229  \n",
+       "min           -15.710000   -0.970000    -8.170000   -16.420000  \n",
+       "25%             3.870000    7.575000     5.790000     2.365000  \n",
+       "50%             9.230000   13.770000    10.200000     8.540000  \n",
+       "75%            14.820000   18.195000    15.260000    14.545000  \n",
+       "max            27.550000   26.980000    27.330000    28.030000  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"9\" halign=\"left\">TT_TU</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>STATIONS_ID</th>\n",
+       "      <th>3</th>\n",
+       "      <th>44</th>\n",
+       "      <th>71</th>\n",
+       "      <th>73</th>\n",
+       "      <th>78</th>\n",
+       "      <th>91</th>\n",
+       "      <th>96</th>\n",
+       "      <th>102</th>\n",
+       "      <th>125</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>MESS_DATUM</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2007-01-01</th>\n",
+       "      <td>7.38</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.42</td>\n",
+       "      <td>6.55</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.32</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007-01-02</th>\n",
+       "      <td>4.67</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.49</td>\n",
+       "      <td>2.88</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6.73</td>\n",
+       "      <td>0.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007-01-03</th>\n",
+       "      <td>6.19</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.87</td>\n",
+       "      <td>4.25</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.12</td>\n",
+       "      <td>0.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007-01-04</th>\n",
+       "      <td>7.69</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.82</td>\n",
+       "      <td>5.85</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.34</td>\n",
+       "      <td>4.43</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2007-01-05</th>\n",
+       "      <td>7.78</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.47</td>\n",
+       "      <td>6.03</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.20</td>\n",
+       "      <td>3.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-27</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.03</td>\n",
+       "      <td>3.95</td>\n",
+       "      <td>2.27</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>1.41</td>\n",
+       "      <td>2.21</td>\n",
+       "      <td>3.79</td>\n",
+       "      <td>2.78</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-28</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.38</td>\n",
+       "      <td>-0.59</td>\n",
+       "      <td>-0.27</td>\n",
+       "      <td>-0.07</td>\n",
+       "      <td>-2.10</td>\n",
+       "      <td>-0.05</td>\n",
+       "      <td>2.32</td>\n",
+       "      <td>-1.29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-29</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>-2.04</td>\n",
+       "      <td>-3.63</td>\n",
+       "      <td>0.07</td>\n",
+       "      <td>-2.41</td>\n",
+       "      <td>-0.97</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>-4.40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-30</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.92</td>\n",
+       "      <td>1.88</td>\n",
+       "      <td>-2.46</td>\n",
+       "      <td>5.57</td>\n",
+       "      <td>-1.26</td>\n",
+       "      <td>3.78</td>\n",
+       "      <td>5.97</td>\n",
+       "      <td>-1.32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019-12-31</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.54</td>\n",
+       "      <td>1.92</td>\n",
+       "      <td>-0.41</td>\n",
+       "      <td>4.05</td>\n",
+       "      <td>-0.46</td>\n",
+       "      <td>5.56</td>\n",
+       "      <td>7.66</td>\n",
+       "      <td>1.91</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>4748 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            TT_TU                                                \n",
+       "STATIONS_ID   3     44    71    73    78    91    96    102   125\n",
+       "MESS_DATUM                                                       \n",
+       "2007-01-01   7.38   NaN   NaN   NaN  7.42  6.55   NaN  8.32   NaN\n",
+       "2007-01-02   4.67   NaN   NaN   NaN  4.49  2.88   NaN  6.73  0.51\n",
+       "2007-01-03   6.19   NaN   NaN   NaN  4.87  4.25   NaN  7.12  0.91\n",
+       "2007-01-04   7.69   NaN   NaN   NaN  7.82  5.85   NaN  8.34  4.43\n",
+       "2007-01-05   7.78   NaN   NaN   NaN  7.47  6.03   NaN  8.20  3.92\n",
+       "...           ...   ...   ...   ...   ...   ...   ...   ...   ...\n",
+       "2019-12-27    NaN  2.03  3.95  2.27  2.36  1.41  2.21  3.79  2.78\n",
+       "2019-12-28    NaN  0.38 -0.59 -0.27 -0.07 -2.10 -0.05  2.32 -1.29\n",
+       "2019-12-29    NaN  0.68 -2.04 -3.63  0.07 -2.41 -0.97  2.81 -4.40\n",
+       "2019-12-30    NaN  5.92  1.88 -2.46  5.57 -1.26  3.78  5.97 -1.32\n",
+       "2019-12-31    NaN  5.54  1.92 -0.41  4.05 -0.46  5.56  7.66  1.91\n",
+       "\n",
+       "[4748 rows x 9 columns]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from pathlib import Path\n",
+    "\n",
+    "# Import and export paths\n",
+    "pkl_file = Path.cwd() / \"export_uncleaned\" / \"to_clean.pkl\"\n",
+    "cleaned_file = Path.cwd() / \"export_cleaned\" / \"cleaned.csv\"\n",
+    "\n",
+    "# Read in the pickle file from the last cell\n",
+    "cleaning_df = pd.read_pickle(pkl_file)\n",
+    "\n",
+    "\n",
+    "# Replace all values with \"-999\", which indicate missing data\n",
+    "cleaning_df.replace(to_replace=-999, value=np.nan, inplace=True)\n",
+    "\n",
+    "# Resample to daily frequency\n",
+    "cleaning_df = cleaning_df.resample('D').mean().round(decimals=2)\n",
+    "\n",
+    "# Save as .csv\n",
+    "cleaning_df.to_csv(cleaned_file, sep=\";\", decimal=\",\")\n",
+    "\n",
+    "display(cleaning_df.loc['2011-12-31':'2012-01-04'])\n",
+    "display(cleaning_df.describe())\n",
+    "display(cleaning_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/case_study_weather/download/zipfile.txt b/notebooks/case_study_weather/download/zipfile.txt
new file mode 100644
index 0000000..767ede5
--- /dev/null
+++ b/notebooks/case_study_weather/download/zipfile.txt
@@ -0,0 +1 @@
+Zip files will be stored here.
diff --git a/notebooks/case_study_weather/export_cleaned/clean_data.txt b/notebooks/case_study_weather/export_cleaned/clean_data.txt
new file mode 100644
index 0000000..2326a9c
--- /dev/null
+++ b/notebooks/case_study_weather/export_cleaned/clean_data.txt
@@ -0,0 +1 @@
+File csv file for analysis
diff --git a/notebooks/case_study_weather/export_uncleaned/csv_pickle_file.txt b/notebooks/case_study_weather/export_uncleaned/csv_pickle_file.txt
new file mode 100644
index 0000000..168c7fa
--- /dev/null
+++ b/notebooks/case_study_weather/export_uncleaned/csv_pickle_file.txt
@@ -0,0 +1 @@
+csv and pickle files stored here
diff --git a/notebooks/case_study_weather/import/text_files.txt b/notebooks/case_study_weather/import/text_files.txt
new file mode 100644
index 0000000..1db36b9
--- /dev/null
+++ b/notebooks/case_study_weather/import/text_files.txt
@@ -0,0 +1 @@
+Raw text files with temp measurements.
diff --git a/notebooks/lookalike-face-detect.ipynb b/notebooks/lookalike-face-detect.ipynb
new file mode 100644
index 0000000..f6d66d0
--- /dev/null
+++ b/notebooks/lookalike-face-detect.ipynb
@@ -0,0 +1,782 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Building a Celebrity Look-Alike Detector with Azure's Face Detect and Python\n",
+    "Notebook accompanying the article on [Practical Business Python](https://pbpython.com/python-face-detect.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "from urllib.parse import urlparse\n",
+    "import requests\n",
+    "import json\n",
+    "from PIL import Image\n",
+    "from io import BytesIO\n",
+    "from matplotlib import patches\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define your own subscription key\n",
+    "subscription_key = '7f44794XXXXXXXXXXXXXXX4a8e080b41'\n",
+    "assert subscription_key"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# You must use your own URL endpoint that is paired with the subscription key\n",
+    "face_api_url = 'https://northcentralus.api.cognitive.microsoft.com/face/v1.0/detect'\n",
+    "face_api_url_verify = 'https://northcentralus.api.cognitive.microsoft.com/face/v1.0/verify'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run a simple example to make sure it all works"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "image_url = 'https://amp.insider.com/images/5a9878b3267894f3058b4676-640-480.jpg'\n",
+    "headers = {'Ocp-Apim-Subscription-Key': subscription_key}\n",
+    "\n",
+    "params = {\n",
+    "    'returnFaceId':\n",
+    "    'true',\n",
+    "    'returnFaceLandmarks':\n",
+    "    'false',\n",
+    "    'returnFaceAttributes':\n",
+    "    'age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise',\n",
+    "}\n",
+    "\n",
+    "response = requests.post(face_api_url,\n",
+    "                         params=params,\n",
+    "                         headers=headers,\n",
+    "                         json={\"url\": image_url})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'faceId': '691d3dcc-fe66-4114-9906-784d08e073a9',\n",
+       "  'faceRectangle': {'top': 99, 'left': 410, 'width': 125, 'height': 125},\n",
+       "  'faceAttributes': {'smile': 0.012,\n",
+       "   'headPose': {'pitch': -5.1, 'roll': 3.4, 'yaw': -3.5},\n",
+       "   'gender': 'male',\n",
+       "   'age': 30.0,\n",
+       "   'facialHair': {'moustache': 0.1, 'beard': 0.1, 'sideburns': 0.1},\n",
+       "   'glasses': 'NoGlasses',\n",
+       "   'emotion': {'anger': 0.0,\n",
+       "    'contempt': 0.075,\n",
+       "    'disgust': 0.0,\n",
+       "    'fear': 0.0,\n",
+       "    'happiness': 0.012,\n",
+       "    'neutral': 0.913,\n",
+       "    'sadness': 0.0,\n",
+       "    'surprise': 0.0},\n",
+       "   'blur': {'blurLevel': 'medium', 'value': 0.58},\n",
+       "   'exposure': {'exposureLevel': 'goodExposure', 'value': 0.7},\n",
+       "   'noise': {'noiseLevel': 'medium', 'value': 0.48},\n",
+       "   'makeup': {'eyeMakeup': True, 'lipMakeup': False},\n",
+       "   'accessories': [],\n",
+       "   'occlusion': {'foreheadOccluded': False,\n",
+       "    'eyeOccluded': False,\n",
+       "    'mouthOccluded': False},\n",
+       "   'hair': {'bald': 0.02,\n",
+       "    'invisible': False,\n",
+       "    'hairColor': [{'color': 'brown', 'confidence': 1.0},\n",
+       "     {'color': 'red', 'confidence': 0.59},\n",
+       "     {'color': 'blond', 'confidence': 0.27},\n",
+       "     {'color': 'black', 'confidence': 0.17},\n",
+       "     {'color': 'gray', 'confidence': 0.05},\n",
+       "     {'color': 'other', 'confidence': 0.01}]}}},\n",
+       " {'faceId': '79fce101-68db-4bda-b64e-3233aa02295a',\n",
+       "  'faceRectangle': {'top': 179, 'left': 105, 'width': 112, 'height': 112},\n",
+       "  'faceAttributes': {'smile': 0.823,\n",
+       "   'headPose': {'pitch': -5.8, 'roll': 0.2, 'yaw': -3.2},\n",
+       "   'gender': 'female',\n",
+       "   'age': 32.0,\n",
+       "   'facialHair': {'moustache': 0.0, 'beard': 0.0, 'sideburns': 0.0},\n",
+       "   'glasses': 'NoGlasses',\n",
+       "   'emotion': {'anger': 0.0,\n",
+       "    'contempt': 0.0,\n",
+       "    'disgust': 0.0,\n",
+       "    'fear': 0.0,\n",
+       "    'happiness': 0.823,\n",
+       "    'neutral': 0.176,\n",
+       "    'sadness': 0.0,\n",
+       "    'surprise': 0.0},\n",
+       "   'blur': {'blurLevel': 'medium', 'value': 0.34},\n",
+       "   'exposure': {'exposureLevel': 'goodExposure', 'value': 0.63},\n",
+       "   'noise': {'noiseLevel': 'low', 'value': 0.1},\n",
+       "   'makeup': {'eyeMakeup': True, 'lipMakeup': True},\n",
+       "   'accessories': [],\n",
+       "   'occlusion': {'foreheadOccluded': False,\n",
+       "    'eyeOccluded': False,\n",
+       "    'mouthOccluded': False},\n",
+       "   'hair': {'bald': 0.01,\n",
+       "    'invisible': False,\n",
+       "    'hairColor': [{'color': 'brown', 'confidence': 1.0},\n",
+       "     {'color': 'blond', 'confidence': 0.66},\n",
+       "     {'color': 'red', 'confidence': 0.61},\n",
+       "     {'color': 'black', 'confidence': 0.09},\n",
+       "     {'color': 'gray', 'confidence': 0.07},\n",
+       "     {'color': 'other', 'confidence': 0.01}]}}}]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Inspect the response to see what data is returned\n",
+    "response.json()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Define the helper function to annotate the images"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def annotate_image(image_url, subscription_key, api_url, show_face_id=False):\n",
+    "    \"\"\" Helper function for Microsoft Azure face dectector. \n",
+    "    \n",
+    "    Args:\n",
+    "        image_url: Can be a remote http://  or file:// url pointing to an image less then 10MB\n",
+    "        subscription_key: Cognitive services generated key\n",
+    "        api_url: API end point from Cognitive services\n",
+    "        show_face_id: If True, display the first 6 characters of the faceID\n",
+    "        \n",
+    "    Returns:\n",
+    "        figure: matplotlib figure that contains the image and boxes around the faces with their age and gender\n",
+    "        json response: Full json data returned from the API call\n",
+    "        \n",
+    "    \"\"\"\n",
+    "\n",
+    "    # The default header must include the sunbscription key\n",
+    "    headers = {'Ocp-Apim-Subscription-Key': subscription_key}\n",
+    "\n",
+    "    params = {\n",
+    "        'returnFaceId': 'true',\n",
+    "        'returnFaceLandmarks': 'false',\n",
+    "        'returnFaceAttributes': 'age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise',\n",
+    "    }\n",
+    "\n",
+    "    # Figure out if this is a local file or url\n",
+    "    parsed_url = urlparse(image_url)\n",
+    "    if parsed_url.scheme == 'file':\n",
+    "        image_data = open(parsed_url.path, \"rb\").read()\n",
+    "        \n",
+    "        # When making the request, we need to add a Content-Type Header\n",
+    "        # and pass data instead of a url\n",
+    "        headers['Content-Type']='application/octet-stream'\n",
+    "        response = requests.post(api_url, params=params, headers=headers, data=image_data)\n",
+    "        \n",
+    "        # Open up the image for plotting\n",
+    "        image = Image.open(parsed_url.path)\n",
+    "    else:\n",
+    "        # Pass in the URL to the API\n",
+    "        response = requests.post(api_url, params=params, headers=headers, json={\"url\": image_url})\n",
+    "        image_file = BytesIO(requests.get(image_url).content)\n",
+    "        image = Image.open(image_file)\n",
+    "    \n",
+    "    faces = response.json()\n",
+    "    \n",
+    "    fig, ax = plt.subplots(figsize=(10,10))\n",
+    "\n",
+    "    ax.imshow(image, alpha=0.6)\n",
+    "    for face in faces:\n",
+    "        fr = face[\"faceRectangle\"]\n",
+    "        fa = face[\"faceAttributes\"]\n",
+    "        origin = (fr[\"left\"], fr[\"top\"])\n",
+    "        p = patches.Rectangle(origin, fr[\"width\"], \n",
+    "                              fr[\"height\"], fill=False, linewidth=2, color='b')\n",
+    "        ax.axes.add_patch(p)\n",
+    "        ax.text(origin[0], origin[1], \"%s, %d\"%(fa[\"gender\"].capitalize(), fa[\"age\"]), \n",
+    "                 fontsize=16, weight=\"bold\", va=\"bottom\")\n",
+    "        \n",
+    "        if show_face_id:\n",
+    "            ax.text(origin[0], origin[1]+fr[\"height\"], \"%s\"%(face[\"faceId\"][:5]), \n",
+    "             fontsize=12, va=\"bottom\")\n",
+    "    ax.axis(\"off\")\n",
+    "    \n",
+    "    # Explicitly closing image so it does not show in the notebook\n",
+    "    plt.close()\n",
+    "    return fig, faces"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Another helper function to compare faces"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def face_compare(id_1, id_2, api_url):\n",
+    "    \"\"\" Determine if two faceIDs are for the same person   \n",
+    "    Args:\n",
+    "        id_1: faceID for person 1\n",
+    "        id_2: faceID for person 2\n",
+    "        api_url: API end point from Cognitive services\n",
+    "        show_face_id: If True, display the first 6 characters of the faceID\n",
+    "        \n",
+    "    Returns:\n",
+    "        json response: Full json data returned from the API call\n",
+    "        \n",
+    "    \"\"\"\n",
+    "    headers = {\n",
+    "        'Content-Type': 'application/json',\n",
+    "        'Ocp-Apim-Subscription-Key': subscription_key\n",
+    "    }\n",
+    "\n",
+    "    body = {\"faceId1\": id_1, \"faceId2\": id_2}\n",
+    "\n",
+    "    params = {}\n",
+    "    response = requests.post(api_url,\n",
+    "                             params=params,\n",
+    "                             headers=headers,\n",
+    "                             json=body)\n",
+    "    return response.json()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Let's test this out on an image\n",
+    "labeled_image_1, response_1 = annotate_image(\n",
+    "    'https://amp.insider.com/images/5a9878b3267894f3058b4676-640-480.jpg',\n",
+    "    subscription_key,\n",
+    "    face_api_url,\n",
+    "    show_face_id=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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4xc+/QJBrR9T9fmq+Hz0DAYBUBA2BmvWYBRI1smrNqjExkBCK9qtFYUnrBvZ1+/FkVnB1dM89JuyZ6cgAj0qnRXDA6pjpAyJ9xJq49wuxApFBQrH9pnSnfzdwELB0UPbj49vxAhFwz49029rUt6cfF6PpIez9MI/2+gjkxva3+lrEeAOV+zk94lXjO/bg6Zj+2Ho+6sMRIa1thfGC4+hga7cBK2uTB1ZHPNDzt9HXamyf52H3ymcBrPj2EUAZgFHCPOJ+9Td/3wEFJVKJcvgtlGeFBSAX0UGEWOuJ+/q42hD7azSyvH57jSH7tv0MgVtnPBEgUHXA/GGpppl9DO0rvxpUALuW1cr088UoqTtO1cCe6+0RStfu1hJXp7Op6z0LvJ9cuYI+fL7v21R/G/pMhM7JSl9+9M/9LeFgrR3eODRL+P4tHUV3OiORqpXoaLTsp1GraPOPLPWf9knyA4ReBDEcvM/346DorTT8YiVqRFMIZSYyQgmtDtOE5RQwLQ9Y1gXn6wU0k2pWJio+WQCNVQKQMW0C+Vv2+6v9+/7EhTuEFih7zfBTebf6gBXNRiRg2wAwbtdnpG3Dlz97iz/543+Br796h48fP4JEkJIKjcuyYF1XpJTw3cfvcNtWZRYmOHBGzrlK2aMfh2esnuhnqCbMUpegmM4YgrRlfDo/IxB14My0VosLsbc6b7db/76ckUvqACI1PRoDY2Zk4br/iQhpSw7o6GTGEvk8CpPGnDoG6ObE0zgPMkMImKYI5lSfDeZL4tp+pJGxOuzd3kUEzvF+FP6maermwIpFu/p+Hfmx3hOmR2ByVxBy91vfvEYGQNXUjM9YvT5N0AjkRrBnz/l0C2NKBt+vo/eO4zLOh/XFwLO57Jh/49ieGNVf0RQg3s/Lp7q4N47+WrcuiEq9PVB8CVy/HFH8mQCrT99/Uwf6XoOPNCEcYvcdQAs37RbNMFA+QkX6TdDq2udcifdSFRDt/Ki6tk/HDuMEQA6kiqo5wAyIHDJlcv8GVIqmCpC6t/eN8cC03mLPvcCEX1hkL4bOiTXWqulBRV8KMfNtouEeSf+4NtKdpW7g+15pybf276m/daIvcEfqas87wDvgE5Hk5r8xKBnm0bQXvsqubb7uXXvdLSVViVb/w9J2KyPQ9lKr83siAaDmry3dEHlDiDOmmRBWAZBAMQJxLp06eBVx9ZH7h5eXQL+0nw4EEL3Vg/myx0jKgCestwuenr/D7XrF09MTfvf3vsLPfv4WnBJIGNumkb1xak7Cz+czrtsVt9sN27Yhccb56VKDcLRNe6Z8qNGpwMrRxcJwLre1ml+9b6UHBhUspFzpKW8JGT4Q6JjJHGm2xgk80mL7P6+RG7VZ9tsIsJg16MFr9+6N0759Lb+RHysiwjQRICXqs5PjBZm3NhahtT+I+tLZvbZO6v+l10D6drykHfP99QK0/lsOx8YkgXuAIISm7Wvv6duM6sfX6su50KTO57f1wX/3fR3n0u73igw/59VM6YXvAXxq3ffNyuMYj79bnd21w5qOyz0t4Fg+C2B1/vAdgCYd2L/HMv6WIx1c34ctg3r778w9U9CBaijeL2Rfd6CGau3zJVRrJYX7976UayNiviuBdP8eFmNaRu1P//y9tryolHmhn0LNoTwM93ZEpEgih2/sfucKVLv3kkBeWLJHi75KkVjuvAuHgOPuvf43A1Dj4wcMpivpPvAKvj5BBdZ01MYOpMr+t3t98HWJtHmpnz+G1Cz9VweAK02Gtl1SxnY543Y+48Q3BJ5BkpDTFcQ3VDK0ey+3sQj7iKcfV4ZwUPH/vtNPEQXiVVjx67SEMMYI8IrnT7/Ft7/9e1zPZzw9PYEulyJ5A3lL4JxhSVIbbcuYJ+1bDISNBY/zl0gp4Xpddkxo1A7YvwFgw9oi70AwOpaFcLttYDSziGRBBmMNCctji0I0592cM4IAmTIEvZbq2L9qz/j6YRSY/wqFYwF2Dw7cs2jAYqRbTMDmtWMiXXDH0busTtOM+N8sweT4rNdcHTFnb6ocTXlShKwjjY2vY2yz/t7G5Yee8f14iSfdS5dwr27jx6a1OpqT8bmxrQ3k9m0wYOXHrKZcyglHALFpEl8OShgjFivvudPXxkZf4HEHip2XymcBrML1Uv/NB8QD6BdMHcD7AWKVmB0OhvPFCRS793G9b6+FyXmPun/MIPft6jeZqZgPUfDQ33vvGvt4GcZlrPseeP3HAiuE/v1E1Jx/pWncdhs57IGqloONAQDEyHxPw7gnHN31HPa/2dte0FgxZDf+47z3eX2M4N6tcvd83569uvqHCKBvg7/umYYvvj6fg2ckni8VOjINj9rFUp6fP+F8PuN2uyFMEU/XT3h6fsbH52d89XYGKBXtZTEfWhvYZ6H/x2msxv4d9mUYLxEBMYELKAjB5kPBRgBAwnh6esJvfvUrfPvb32JdV6yXK2IszrOcsN1WNb9ILlmhda2t5cQIKtqkJQasW0YMhLdvjkzuQ3SwK1K078H8gyRAhBT7zY84PT7gYX4oMsBc8qRNQGaEedKoxaDmvXmescRJne0ZmKFZ2AHGDTektEJy6tZ6R5cxrG3pAYYP9b9rltnNyd6Ek3NGEq5jDRQfHDSzkGUGr+MkvRaLmZFSqkEF1WH/AChWLZkca9W8RqeZpKy/DG9ivAeS7oGs8X4/dkfPv1Tn0XiMddvYeK3T5LIrjwFcY1vv8bKRnscYIdSnuKgCRM4uUXbbmyKCzJocdVx/ImrqHH3y6pwOvqRd24aAppe0YT+W538WwCqvTVIYGUpN0gXsJG//dTfRR5qrUrbOpp/ctSPk7ZgS94v2Hmofy5gLyS9Alv2mryW+zFSPNikRgfJwbXj+3uLgFyx649h3/SmfLVFg82zRYzbKopS+XUJ7U26nXSxSjTiwwTgGY0SEdCD5WgmjjxV+eCMB3ZQ7ZUd7jojABtI7YHd/MEfJ2rdH6H7kqX/3+FsernuifC/vijLkfk3fBfljuWs23qcWuTw9YVtXgBmcAi6XZ5yfz5BtA7YbAI2WAwApuZhMa1kJ/AtI9cW9d+Doe/TsyBj864j0aCZmbu2QjKePH7E+fwTWKyZmMDFu64ZoPiwkiCRIOWHbbjidFoRAeIhTHSVGBsCYl6VLSDjmfNKx7Nuu4Gyqe0tPVQgQViYfpwmPj49YlqVo22/u+l5YmMqxMzFGCDJmiZr8lKQ64Uvqac7IyHtBqGkFR1DzQ8zJM9t1XbFtmwKqlLBtGzbOFViZ702cJ/2MEXHundP1fY0BK28h5CJwjUzcF6+1sW6Z1sSbpfq947WcjBrE8YLwcjQm9/bjPb4zMv8fAwLGACJfl79uxfs33RPSR1pyXPfezGf3Vmz+Aq28997x376dR3Xea/u+vfefGcvnAay2caORG/hQ1+jI2Cj5iTuyu3KVosQ9d6OSk0WGCZJjacWYpD/+44ix3ysx9/f7+k0LdriAOHfXtI1tDI4WrgKrcFdLdKTVqX16wcfqpf5l3hrA0JvbovaH9EkP8hjJfj54l0ar+GsiAqHczWedV1I/t07j4T7jCxvwJUfESibvSGiemdSz5GBM7riMPi5dvfHO73cAlZWe8Pfg+958A6i50sZrIzHalXumOerNFyKC9flJtQKRkK+MNWVs5zMoTkjXZ6TLBVkYTL0/ip0Fqq+7D/ZeWpt+HsZ1MSa9NUADoOZPMiIvBDCX5MVQxnL+8BHpegHShkiCBRlymqq2do4TAhhEM4jamXJxmiDB2hIUaEsLommmlx68iIzrghBmqEQkZe8JgSmWmB3B4+kBDw8PCEQKWgkIzGADV07gOVpzmoeuOI0PIHzHxAZg9SPgeR3j8f3VT+yims51Xatzf84ZG2dsmzraxxixLAuWhxPmecY0TZgnRw+pjz42DYxfDzY3BhpG53a/z319zFwd/ruxgPo0uR+7/vr3HxZ6GVTc2+s/VI7o1r26XgJFR1F0vn8vAav6u0g3HvUTgn0wk9H7Y63hUf+798f7WvtxbH6K8lkAq3aOnZ9kvca8HzQyVSBG6b6P1mh19dIuP2gcdzfwGkZVNoMRndAtcNM0iAvTMgdjPjrlt5Qlo9uMXd/v5GkhIqTRSc+BKhra76+d+AV1Jo9u0G78XgBWLy03LsCqEhQfAs+9CrZzsj1wdIVdoaYJsms6p7Gvz7/XperYZcbf+TA7CeylvqEfy5EQ3GPqRPft1PeIoYhUwHIEiO8ROmBc7/eB1W5d8J5IjcDjsA+WcO7A/KcEqvUj385qappOuFxverpC2rCEgHy7YsuCzO19Zn5lB6wOzlL+UcXWi18LoyQ+AisRNQXWEtv6Y9YDYcEJ6/UMpA0kGREBmQWnN6d6moKI1COyjOGjCIDiTMyBCHBHoHhn7tFsNn5OIUBIIEJ6IiFTBcvTNOF0ing4PfamMXG0Q9Q3yQOKkSEavf1x493G0ujUD5XxneLac7lccLvdnIN4MfUFAnOq2qx1XRFv1xr5FkNjwKaF89GMnh4bsLpcLtVE6IGVacFCCFiWBafTCafTqR5ePNKhcRx63vUPY979XLQ6jj7tfvsc58zf768fabT9/Pt8Yb5+D4qP3nXPL6/WP4xLD6zug/2jf/s2H43FNO2VIuO8+LEZ773XhnvlswBWKTYJIlDoF59TCY4dJfZ+MyhJBpr2pREPT0QFWKlWTfX5YWAPkLdnFvVeiwDhvRRsZUPSfDulLWMZ+2bv5bx3svTXRY6ffUoZMR77GBDtT++2dksiRIhyMT3NFaGcnzX2KcMxKtqDwwoi+QXfgmz/Nh8E0/y452vd5SDcaZ9Yz+rgLbnvCtj1NkJKN/dM7FJL2HtNXdQYDCGG0TbvCeMxIFZw244BMaBg42LlKKm7MdJ+vAQiCeZ7Zu8Jsb03jYQNqEcxRXKHyIr2vzIUO+fR5pilOUPHCJaWcZvcWsx5D8haZvIiiHBC3m6gwAABt/WMKzOu603BxuMDns7nenq91yQIoWqsRAQRb+q1fj5eltpZrof3E0Ws69oPvtPeRXHrCAHZQryFiv9MwHklTA9fYNs+YhVBeFhwog3P63NlxAJNufDw5k1xji7aJdHoK0vFEuWmdIoIFB3N4QKeUNaLZcWvW0izqwYWCBgSRMEfBBwIdIrAlBFOARwSNs6QOYIe3uAmDM6MZVkQA3ClMscCcBF2Q9YWhkw4xQUxCmJ4QAyPCDRDMiCkzulJGEwK1AhckgOrK8QmERT14GE7wJeIEIiQVvV1YmkAiyWBhTHPEYgn5HPGx6dPuF5XLKcT3r17h+XxHcKcAKjAllLC7aqaLcR1l0S5rd1B08yM6/WKD99/qnTRIgcNVNnnw4NqAA1gvX//Hl9/9ZX6yrK2w+7dtg2S+vNeFRQWHhENQEpJ/UMgmhCC5gZE4RfNByhoYt4CMjHQoUAlEz8aH+Oi/bSTLEYhuvFZTXsiIgii77L1F0qYJJHSlUABIbb0EyXjtvIWaD2c9RSAEXD6oKQxWr/SPdcW+6tHyZhSpY5hKAEiLRK5Ci5GhwIAKfm6Cn0N8wQq7+xSMlm6EmfqjCDE4ssomevJES+VzwJYZafmHx3zegQJwEULcNqbP+zeGAsKrz4rjonzyCzbGmXxzEvfZ/W2HFsy1Hkk3fsFRbgXzl4Xtoirz4OmcpmbFIvy1643s4EUxilDDiN/H2ui6Ppp7RAGJAQ1X5SAf4FudnXcLZIItfaISGcCM+yoVswSFVbfPYBH05aISeVU8/rYXANNo6SgywMmz1TVSXQPhgsRlVCdkYnQHbyck4Bi2+jKOG082nu6+bxbRP+kzY/1n4hqhGj3hPtKrP0zTa2+1+pQJlr7xMb4W6i8/tDS5YoIOAYQB/gjnEJZC23rxXJ/1jxHsDVS1iIxQjFfZREIDX4QEhDIQrX1jLTMQOIAEgGXjNRpAyCTAn/MSAnImRBCRLYzPGHaIz2mCsQQ7k2PHsC9JEFaXbuBhj9u5GBfctljpJpVZikRdkqvbB2utw1bEsQpACHitl2BMCEsS81xFEOEUFB/qMKcqKyPUNo2Ty2IhkgTfBpxZyqAq3RBD322hkYQNfOjCm8EpgDBBM4K3rjuB72PmZUJ0v5gZRB3WgzNV5W6PWUBRjV+AAAgAElEQVTzbu2ozIj2JhejGy2Tea8V2AsShEgzYgAgG2I5xmpNG25rwvl8xmW94e3b93iYF4SgIMY0TSGoOGi+Ueabxdzet21bTYUhTEgp4XLRICq7v2PoZc/N84xlWTDPM04F4J2fLnjz5g0e35wq4FpIo2YlUE3T02tlALOwdJFx1M5StWsk7bwKE2DGMW5j3WtkjrQz1pZ7mpkjTVCn7Dio76g9HryOdfo5t8+cWyTq0TN+7d1zon+pTT/U5iM6oiBtL7z90Hs/C2D1/HStG9sG915GbsAx8dwncesK9aGzSvDtMOQ9IPKo2d43MmmqfhHo6gbQRff5ZwGAhqiQY9B4oNFBBMbzAiV0wGrotPapA119WxXIlE6IQ1bQSCIdU00vSmDVHkF9MoioMxeyGPPdz5VtnHm6kz2+gB1l7KGYRsx0QMhmAkYextM0OkOfyth48NM2gEp6JgV17YES38At67JwqFomyfuNfrThuzkCdmMPG3d2a+0AD5gELV1+NR1Lcyr2hAtQgMxGkMt41sIC1LVJNZCCyxrJBk4KkA+YYKZYfcYYLOszRRPM4glfS1USKxAVMBM4o/RFJcOUMoQWIMzIMkE2gpKhGZm5wz6diWgIHPGfL2qxqBHCbu7lZalTEHUOBZprDgXdikrCKrkv2PINISyYihZ4IyAREEPAbcuYY0CmiC2pZqIKJoPT83qzfFS9z1FNoilSD1dmam4JORfTO6uWB1xoIUWsN8bKwKdPn3C7FQ1O8RPNWbXaBhxqckajlcHWYTMRppwRRLo1WMfLxtc0ClWYLPNDDVB18yWNfo9+OyGq1pRiwPJwAqYAFsJ3Hz/gdrvhel1VezSfQCLVLCgiWPOl8hMDUcpbioCTUvXbqnQ4mLkIRfOnhz0jc81BJpdrbZ+aWk/48PSM9+/f48t37xVgPT7i7dtHPJxOWKa5Ri/V4B1qGpJGV7y2V0AOjCmAzWUx+mCGHuj4sfW8C2iuAkd0zCszxmdGM+1L5WhN1HmmZsm41/ZRs2efI5g/AowvCVdHbbt3j6+l7kPsx+afBLC6PrXst9umTJNItU5+AMfOpMSVENjh422x+Eltf4DUs9B04gZJgqbDydKJt/BvuLr1nnm+D55CYZYmBaFq3XxUxT4dQKCps+GbKjMUKfgesw+h9cHG1Uul4+KwNq/ritvtgpRWNSfkjJylAJIyfvU1TQOE3C9q1VioKfL23GcH9v82qZJgGYGbL0Nc5nqXMXaVRBXgtjlqZq0mPhcwUDYKEWGKw0nyiJVRBXKmYsTKw4no8Bijo/UxzsPRvFTToEmju5qhUZS1nW1+lLADpoHtiY9gy6LmZpe8EJmBaI7YRfMAdKkw1pyr+hsmqID3h52SzgVFc9pFHS8rIQRIMCKuDJg5YZ5U05Ylg+iKtG24njM+frji5z//Gsv8oEbnkrbqeM/fOtCs1/fEW8SeN7DtNNC17lDHqXWwnw2KjS5MoZnVmYCH0q7l8YZpUkCwrjf86le/wv/553+JP/uzP8Pz83P1CzJ6sOXUgSVrMwBMjrl4LVAHrpjVJOn8CUI2t4ENeS3JSCkgxhkpCx7evsPf/Mff4tOnT1gzV+DOWwJNM4gC5pJiYSJUeqjaxwgBVa1axwDRMnKLMLgAf4RYhQgxJ3BREwoO9ougzeHoRygMXNMNTx/PuN02rGnDBobEgATCn//Fn+Pp6RkhBDw8POA0zchZVPu0nivYDyHWupm5+ru1tVtAFJqrR0q5yx9mZmPfVqINdL7iNx8+qZZqWRApYF4ivnz3Hl999XP8iz/453g8zXj35i0eHhZMxe2FWTXDfky9lnqaCBXLQ+paFxFQEZQ8LffjOioNgBY4MY7/WDpBFdit17Ecub5YO33W9jYXDTBZGbVXxvP8u40vtOCSF5Qqd8oI5o7+PQaHqcaw9fUIGB6VzwJYRVqKDxKpP4GhVgc2BNKZ6QCAYBGDBEisvwLoTQfkwv+Jmp2WCN585Iu1wUuPOEjYaYwgbeMCa8TfHKAtzLmbVLfQGkMxzQVV0FGZGEVAIgLNnQRCRJVjkstIfwSsRnNr3dwSsK4JApNQGbwJcuHGBkwhAeyjMHM/ZpbhN4SAtOYKYnclRO0/ii9ZmEt/I2I4lbmy8TKmL1VzoN9N0+Tnq2fKRIQYm0aRyGu2AlJxiu+dmc0JdtS4HfuMHf0B2GlgKmG4I2AR98y0ajZSqoxa5zgAUT8JwBzafNe+xQbKmtbA3lOIcr62e0r7gsRyrIRzWrXR4lC0Vn1fgwCgCJGAGizCCSQZLeVBQpwIWyLcbmeklPHFuwk5zhqxVrV5BcTUxjZNjs2vn4uXAO54FqL+hfKOcRLGkOwCwiSADfxD/SqZMuY4Y1pmhAhkesYtE379mw/487/8a3z77bdIKdUAFCLTxusxMDZXxkQmFA1RbqDWM10iUv+qYH6IpY8lojo4EFPrDhPebyVxZufEn0H1JIK94ziome1DiAjCLakm+X2lmklTxZKi0eJjFQptFRBxR8s7JmxKGpsfoGrHcs747Xcf8NvvvsXT0xPWYuo7X2+4XC7YWP1dbuuK8+UGsGCeNfdWyoVEZC5g0aXuCAvWbUNKl2ZuZcZqGsVOCDaglbq9ZWNsQGBeM5Z4rVrbp+cLPjypz9b7d2/w1Vc/w9c//znePj4UAEqVCBytUT//ncAux1HFR/TVgMHRvUf0y99zpMjw318CaeN+HEHXvfccAewj4DgqLn5M8bTKhJcqJLwwhrYmrS1HxwYdlc8CWPlcM+HgmJo2yKOU6kHRmOtlOqxHRJmR0k1Sh3eq6qzufQbI2obcT7YR+pxN0tg7jVuagUBUwKEjZmJOnBHwflmi/RMDjlBmZn8pcSHKvvllsZlJjEidUEWJnLCp3G2s98ctqHlPQ7MVCFL1TTCtGhcAZ0CxRVA1qV6BDhfT0hETs6jAIk3SpIQYCq5YovrpimpQpJyAKzwAGxsu0UOzG6gCxIIbiJCN0Io7LyvougkBCGTgzoGqGGu2fV9G0OY3eWX+Lmmq3Vs8pA43ZgX+rn+e6DM2BDRg5c03gB6ZYv2aatqCFvHUS55OUk4nBVN5A5dM4eQicYksuksDFhBiydO0P0A7lrU/FU2gHgPCmOZYgcWCEgE4beBtg2ACZIZwWQ98kA7EtKV1L/SS9L28YKijbstgBL73ibKmQ7A5FvU2LOBG56/4PnHCskzIOeJ6BZ5vjOcb47wKzueW+DilVAM+zPdKQUBAjAG5+NCiKHbMB872vQFCMb/EULRz2hKN6mgSjiYIDREIE2JUbQWx+roRUKNkR+1YpQMQTEHpmURCTBviLQJbmRAX0NIBXeZOiAUKzfHz5jSxENNYFNrBjHVdcblccL1e8Vff/C2+//57nM9XBWGBcL1e8XS+QCB4ePMWcV7w6dMnXG9XrCnjxIJ5WWo+MU0E6nwTg5kHc6cBuaatrlPz17K1aHNm11v/gHmeEW6bav2iWkEu1xVP52ektOHdmwd89d1X+P7rr/DV1z/Dl+/ea1Sh8boQAAiitDrVSC9F29fzpHvRdi9FkPr77mm5/DMvmQBHUHMPkFipa+ogutDuNRA4Ckte03jU9qP+HZUjgNcBVgNsA00gUrXhj32Plc8CWHkUeISwPaPxhYHq79A7pgIh+uiIyn1rfU2zYaAF7n6rxQMGgYjPBI3dYhzVou09tlnEXJsLwNJ2ExQAhSpJt7aALJeT3kPqTYssCVl4J0WJSGfGIGpO4gb86kGv0kyDlYFbNJs5jtfmlAVeGJwmciy+P9IzQ78pl2nu++Pm1hg/ZwBBJd4smkwvsPp6EamjNEsuRLhTWBVAWRidU1KOEY9ccviYZB1h/kgZU5zVLEhBNac2blANzNj2BmZ7QOX/zaG/30o8SGnhtVchu8NFrQ85g7JgmmNjDgb8ypqL1ADjCJijtMNO+/EX0KwO4nlLSDGBUyp+di23TyVyIgiTAaoIotCtsylEhFAYqSQgKaGfJ83eHYgBuoEZOC0JaRMF1KGAai5IofSlz2Wz6FotY8w5V21myv35kfckyjZH+secsTuc2+qoebraPS11Q65BFpk2PD4+Ys0Zt01wOa/QEzkitlV9LzMEl5v65tjcxplAAYhTQKQJ81zM98Vc502xdT7LO7tMEKfCnFm1egZumBkUI2KcQZSKvxAD1NaHSe2CDNPG2/oys5Tda4KIT7yse6QMpgEk/Wd1tg8hIIggm8ADLxxpR25rczxPSZ3TP3z4hOfnZ/z13/0Kl4ueozjNC2iKuN1WXK6rAtNlxhwmLFvGekuqicqCny0PiFGFBk0yqj630zTh/Hyr+8H2C4tgTVLWPVfQZWsmpYRpahotqyuEgJxS1RTGGLDECdvMWDji7775NeZlwrfff8SHDx/we+df4vd++bv46uuf4d38RvdSRDFXmmCcqzArNm/S5iHz/tDqbu2WeTxKo2DX74GDEVQdASD799GnByn3AKDRKV88qPJ028b7Xn2jkPtjyz2N2E91/2cBrGyg76kNbWCnaWp+KszVYVyLG3QZVYn7k+L94jpaoEdo3W9Eu+dem016qOG0wwIYT/42VbP/M21D1bCIOqgKU03fz5x24+cj+Mb+2f367yHSg+1Ms+KXAz3nrH6vY0qQSmADQNwdRaRMURPkaR1QwIK24ZgZgU6qeZkUQCKomSJnIEbVHCEEtDQXzTzmHR2bo6cH4j3QM0ZoGp5cnPRDCOBoGcgZ5DRULAlicyv9xtX3ls2NFuqL4mBqGtQR9Jr0I6FJbpxbaK/P1+SjkUzy9sDbAGbVtBX/u/auUDWlYVjzadMxnCP6NTbP4JQA1qM66rusr0EZKZGGoNejQETc3hCITGW/pnL+dQRx0rUTBHGZETf1dXl88w7bloug0dax+vCptm2Oj92epsKImRlLXDpH2woY3P1e48CizB1ybOYFqruZzkPdI85HKgT1GYsAY1PtHCIgE3IicA6ATHj6dMW8RETMmrgkb+qflASJMh5PEW8e3uJNmCsj1dXTm5T1RzP5t99TASzRTOHgGgmnfbW+qeC2zBNOU0SkgJQ2xKiCFgLDDqdPKWFZZjBnXC7PLo+TMTtzHUgAb81Hj4pWotBHNbmYQ7Bp23XNpszIORUNlUbkfTo/4+npCR8/fsTT0xNu1xXfff+9as+mSelHYqSs/l8Z1BIsU4CEWNI9AImpaH+BaTkhTDO2bcNtXXG5aF6s0+mEx8dF5zJlhCIEMqgsACrWDUHiDdttrftymqYCFhX/hxARpwkxaGBIToIVGVteQVfC7bpiXVecr1d8fDrjn1/+Gf7zP/pjZOESuJARp4DTvCgdM4Bj68H4ghA4NBoK9Gcf2rh7HmnX7/lDeQBp1+9pqqw+W2NHgMju9UKZ15qPwMnaYb/ZPT7psecbXpjzxdOxHnTtFTMjX61tdjxqT+//iTmvm5O6HyxtuKkD+wglG+CC293EloGgsrmrNOoZX2PUROas2efAMA3IWMzMNy48Q9U9gBlyRLnFdwTajq7Xe4irj5maSpoq3voh4sfQdFze5FHaVTRkTWPX2pHzisw3VedzQs4bOK39oixpC7TNCkZy7tW0bYxQfZu8VlABkvVBIML1hBRl/ko4tR+59E8pGOd2YKzeG8o9fqPtk2kyewmuGkDKOFuUIaGFgyto9GdO+ikzQNMAbL9+bQ4aDhrAFzVtW+enUnLGGAAjwvGB1PCaM90jMYaiMer9ALSPgJnFBECYBGACS+hPpxHWKNYg7f6q6aMKCDW3T8Q8K7CCaF4tJf4KiLIxtkmjGVMCIgImjphPE+Y0Y3lYsJwmhDCB0cyw2u4MlGASGvyfwiBk2ZqoDMc4eMkHRCSg7vDdPfPohZ8CagXVH01NcgCFXPzMAiSKOmxL8dPDVP5i/SOeAEnqJ8Zq0ouImGhCDDOmuGCJS7dcoltPfi1LcIwDQGKp4JOIAMkIgRGjCoHLcsLlcivO6Me+gBMFUJBu7dpYtBxsZkZrgmxjMoU2EBcXArVnep3EujVncCAgZ8bttuKWNvz6m7/Hhw8f8O333+Hp6QnX61pTIawFKJ6vCXRZ1W9TWLXTmyAnzXq+3RIyK4wLoUQb56bp0L4QECIupf7bmnBbE5alpEYwEzoCBKrF4qz9VxJXTOvM2NJaGfOyLJii+nLN8wkPy4w4aU6n9XZGzhuu64b88Qm3dcP5esPz5YovHt/j8fGEx8dHxClgSxnMV62nRGwKqWaditsLHM32QteRomCkFx4s/FggdfR9pK33nvfXfsy9dt0sWB3gKYBLz67s6x7bM9ZngtZYfqgdPwSeXiqfBbB6eHgA0GtW/OI50hyJ6Plidr1n7qFqhI5V/c0PakTxY9RBBxZcNt9xQm3yR21WKADPb/B7fRo3hBGxnln7PDDGvEuG5/KfmRPs2V6btV+AVUrPG4Q1MZ8e35GqabC1V0O3GGFoVzN5GbPXfqU7C79oxLBVgEdiSFfUgV7UxCFUtEeFqJlZQxno/vBhr9Wp4ynqx5F9MAARmGM56mMqOYBsHKOuqZpID7syOnCP0pIRwk5CJGVEZDYTEZenhqCargbuK/DD5rtVB1rMga8wWr0nuLkgZJGqLayEptyr/njQvkMAIRCbxrMPHiGiqsGLs6awMDMGEWGKEbEmtwRQfGdOy4SUFJhMEsA843TSRI3L4wNOj4+Ic3F+FmpjjpY7KTjtkkmzXrL1f2ZWMlpg62+eZ2fG3Puq+DP0mG71Wcmovm/2fgmix/BEQZyj7so4Y6JQ/mIx75T1xgXgQYUgiNKo0zzjYVFgFQpTiehNgWTvtbXsIj83sfFoWeqZNWrPot8+ffqka5Ok/nlQVbUhsdCcEMCcS3oGVsVeoHYsiE/aWzeGgfc9bcksmKYTbrdnrFmDMK6XG56ennC+XvBXf/U3+Pb770taCPVzMm3oBsK6lgOThZFtTglIW1aNKZFqYIvWP8aozudjsJAEBJqwLA9QP9WE8/mKW/GP4pKd284j9KkY2l5o663SbAFyCOAMEFSTO9OMECMWCLZtwrZesV5uOF9XPF+u+PR0wfuHt/id3/kav/zFL/D4eAKRIIAxxYB4CkAImmQTsWgFFWD5Pt3jJ378Rwftypew53sdiHeAyNfneduPAWX3ANq9Z5o1ZkiIHPaHa/sksPc0Sn6vV94N6fp4r03/2PJZAKv3X3y5m3DgPrhqEkgb+JZewS2YwTfCSjjCWsM7R6ILANPcH5I6qhZtoY2JzszkMAIrvxj8xLexaICu9glN/VuZZ+gXERxDKiNWr5mppusvmRYggBY1SXAkTIGQir+M1AiW8pxjWCzNvLgDOdxOLSfqwXOcVOtBU0mxEFxenUCgqBBA26ibYY6qMcug7kgcAyAGTNo46nu5HFdELtJN01lQObBVEEJJE8BUzIB9Go+9JDhoPIDqKzfViFVUh0jd0FBT21CozEE6OI8yEEqyxCF/EGv6DXDx2YuqYQuhmYcFzXejvqdUGBSxqkk4lqAGFnCcFVSXA3dVa9EHLiAIhDREnUjX47RMhSimkrhfAzLiQsggjXibI+ZAQJggccGbd2/x5t1bTZ0yaMhUc1B8knDqxssDK9NuqJNyRs5NmxVogvmCGbAyk2DpyLCGipBR/ClJNKWBzqOjSQDWvIJnXT+X9YbvP3yB0+kR83zCNN2wlCShwZt9JWHLawkSWeo5d+8eHhFCwGxADA3MeY23zkEbh8ci3eccS7b05g8VS2b+78K3iKRn/emfYI5UQECskXSe9qaU1NRXVkBbP4V21WjCkk4BUlIuzDWYIKWE6+2M2/mC72+Mb775e3z77bf47sMHnM9npKS+nPN0QmLg9OZLPL7TVCtmvrpd1ZH9cruqJmu94XI7Y9sUQNc8fwXkzNOCx0WQNsY8c9cvIrU6/M7Xv8C2bfj06RMul4vuNQRILilJEoOTFO147hg6ESFTxiabZvkjAjggZ8F6veDj9x8BAMuy4M1bzWelz6kvoQB4XoHz92f8H//23+Hduzf4+uuv8ctffIVf/vJ38Iuvf463b04QYsxxwhwXTCUHGEQToYyCqneLsHXs/33PN8nTas9//KetP1/sN69kOIquqzTI1eEd7K3tI++3+mo0M3qzodXdhOPeB+vI3Dj6Ihtxvgccj679Q8pnAaxq7hMiUHRRPMCOqAAeoLQ8IzqoZQFULUafI6oyqrAfzPH7iHgBYJr6s6X8BE6x3R9DPzmaCb2XLJqWKNc+jVoP/RvUqMUAqkSzb59JkiFQB+K6oT7YJBXglbpCmZMpRGASEMeSXgEl63pB/dVx+lj1DACcmkf5CEzqSfQlz0yMEaH47BghE2RVyZdu5BUgYoByNRFr5apB8qUDqaTHayD4XCp6VMEcQk17oYMk9bw1L9mNf/ekIx1D1xZT34tqhcLBMwL1/QnmsE36IJFGZ9ZdQc5fkARKakMJWBBE0ihXv370ha4fjoBpOgFo5BdpGg2SjICIHE2TKGA7wcDaEQGq5twCBqK1I0C3Q3mmbEWKQcGgBISJEWMj0HDt0szS6senqRGz9suGU0Q1ZyUrvOVbJCmRt9DvIWgOOTWPTpjmtrbaPjjWkE82XqLH29QFWApDEJjAExDnCUyMZZmUfkVAQnNmphg0Ba5oIlpkIDEjI+u4RmA+TWWdBj0wnAUS1PUpuhxsLcWnzuUEQEowRiomOQpOI4FGU2Ic8vZJY36jX4qCu3btSNCs9w6/paTRpWm94en5E54/fsLffn/Bb779Fh8/fsTz8wWJM2KYcZpnjTTFBEjx4ZmbXxBhQs6C28rIsmlePVFQqNnqW1ShgmlgzYywZRClQwtCiC1a0KdRMB9e67OdUeijAD0oqXSaBVOMmENEDhG3pGcXMqvrwjTH5gcVClDOgrxd1efrdsXtphGk8xIRwheIIHAUpMia1gNl7bpoY79uj3yCxuJpr79+T9s1PjvO+5HGagRsR+M2tn38fVRA+HdbP0NHw441d7XOo3YcjOFPWT4LYMW5EUKMyLRqIBwwqlKTnSWmmgjTqqj/ijk0m23aRTf1CiwA/QTZ57hAYmxOmcrUSzZcNI2DARtfF6qvk/ezsfv10/zMPJEDRmnB0g60JKoefWv/CcIapVL/fD8dgRyBnmRGSqw+MsXpPoiam6ydJBal2BytKUx3NwyXbMd1kMqfiEAmnTtj8ICaPYL0jB8lo7SZQY9LgM8HY+Ne+2rzxEXKjj2jJta5sUzkMCnLAQqRon2yfg9EhQogUFet/ThncU6RHtCGYsQVBmjq6qzP5v0REFaYuY4ZSwLl2KV7UH+hVDVCcPX41AoYiNhYVHPY3imFqTAFBA61bzlnoPrp6JryUqUY0gLAWZCyFIZpwoUCtky5CgvsInJHwUYkg1kdgHNO1SlaCiCMMpdnbc59NO2xxqph14DArd+hCBcERkZAmNQkqkICgaYCIANVMKk+I1nN0ExgEw7g0mZMup804MMCDkhBGlDOQaBGsMv8TkWblolAXHzrTHNe1uAcIuZImGPEFApwK0XHe8+IiQhTbEDUH4IMMEbagVJHSgnX6xXbumK9XvDp6SOePnzEdYVG2kEBeISOEYOwpQ2QAswFQFkLQgLKQAyas4+3hNttw5YsyEa19jHOEHAdUypacj2bsY9snOKMZT4QABlI21Zp8Ol0quvcclqNPKGOWVkr3lFcTZdSwFms82XnDhIRKK+gRPVcwuU04/QQNRABggg1r89xxjI/4DSdQLH3lRsF6CO+ZSCoF9jbtSNN01F996IM7wnVowD6Q/Vb6ZUSe23W+PmStozIgmAGOu3uH+ntT1E+C2DVUh4YofMTDxhVsxxXdVDhkCpTJeYW7WXPEaI6BQNVEhuLzS2b1Oe0QQ1Y7ReslxiOFmltW2lJP3FUwZC1ixAQLJt4Oc+s7t+SfFGkhLPDJWMEKrCQA21VkwbybmHXf7NmZGagOK/nGh6lUptG1EEChBoYyiX/S2tHqzunPveSf3dQD1O7WkYkAiWc3TQeLO20efNXa3+9pGPjqsVl/iX7d9l0oo7JqIETTiNaxlW1RftkfH5MRyJQNzO3Z/wf51wdr6vki6Aat8w1hcC4trbNInD6tug7qR69UzUIGeBYiCmkaKwsysZJg16Nzm4tj2ZrM8myptzIjtFaX6c0gbnMAxXAkzZQManknMsRN3pEErMgsflGaRCEzRETA5SqhtaAsbXH+1GJCDJnpJzK59YiiDCBI0MwIWSAwgwuIFAPfbY57TW51adGpCzDks7A1lc5pFwBxVTXqheEDDQj6rolA9WhSkWq4TO8WzB7laaLFk6kP4/T+1gFY0xCADJYQjXc1TUSpIsMO9IojGucop792B91M9JN57RejrNIKeF2u+F2vWK9XnC5XHA+n0HT+7rOctJM5mvawAw8vn0HBNXyMq8aPVnm7+3yBkSkJkaGPrdtIAqIJa2MmTxDEfBCmMC8VTBocxKjeq+ZADDPs9P0BKyXs/pHlUOWpxARQPXoGxU+ep5gwiaYqrarAicpEZpiQRVJTb8PJ9WOXVeEADBHhE/At6cJj48nxEh4fDghFA3sMi2ag1DUP9AOXx/n5Ij/+HIUFejn/KVr90DRS2DL//tICL0HYiodOwBWO7/IgVb697Vne3/Knwo8vVQ+C2DFW/F7QISkZhYcETYNpp61EB8RAaamoRERcHH6I1ITQz/RHqH2h7uGqM7TTeXY2jGVXC/m3RPIJHF1DEVEjSIBCjOgAI7P5V1Ng1TBRSGqfWRk0WzxCRDTTkkBUZrQUuWaDczm3Nyc+Hg77+zV2u/9ZusY+LqpAcYxfbaz4ZihGZttLtqzxH29qrApDNtlMM5AN6chJs2NJGremIrzZpDQaa2oAABmLkSMAefcWAGNc2QcAU+cHqzHQInEoyCIEzDNB8Sy1CnpQL1pa2ZPPUAAACAASURBVCW4g7Hdu1TT1Xw/fHuCCGTbUHRbZcCKlgIAX6+t/kJggggWEeQ112d27+SlEzgQCEE5T03cacfRkHPSRm5pC6yuTTakcqSRsPrQkO2tMvbL3JhZ4AmRZ2y8IdAEllT8GBksGYRV1w4Y2G6qDRRC5BX5+hvkuALl4Gn1f5oQgSrJhxBqjiYqY4qUQJlr+0JmxJyBnCG3ta75yzSDQ4BMEyaC5n6bGVkiwMNxUTr5ZVxKeDhBzwoMapg0QLZuNw0YuSZIjJjyhjldMKVHPNIXOPMNt5zwhk5AZpyiIC6ETxuQaAORYJaImAgzRwgXcOa0HlLAP+eM6BzOLRUDAOCtyj55TRCaARFMiGX+dcw2ARIEPBFkAWQBICXqjaV22TPAEEokJ29q8kRWQDjr2qIQQTghp2tZcIK8riBEBAmQRAh4i1lU0/Td8/fYih8dM9SB++OT+qPN77EsC+xkiQBgu91wuWzAvGJZFoQ0YYlv8BhvwArklAHOCDEiQMwJESKM65bw9kFTuQijau44C9KWWxSgNJMWc0a6npEoYLte1Ffu4YTT6RGCCZenT5imWVMzMFdNJHOCbJqSJsDooqZsEATEmeoB0UpHM3K+gkiwzBodyqsg5Q0IF+T8G1wvgq+//F0scwRJRtouuqvlhjfvvkaSCbfbBadlwbws4Out8AtBoABLR2PA3kD6yAdGrZGngSOAYm7pSua5nUBi77FgMTOdGogfQUxNA3LQFqvLa6B6AbJPgCrS/HcBtTZ4QUDfhepSZH5bADoneN9Ece+svxE07QZQze0/BM4+C2CVQ4m+ckc2aKipqewr1uoKWVi5KOjQ3DQovgEt87ppq6xsuUla4zUdMPPuQAm8LTZZZIBQzutq/4mZf1AsVgb2iCDCCHacSmECQGOq9XNQ1QIo5hxz6HVRDSUSjDmWiDmBSPPjojjVBcIiaJlkWloIN4pVZucynlzuq2kVIBDrA1D9h1g0DYRQr7kREQgFsDCSivTtepHCIADlpI7MZI74ZayFEW1kihTP1KyBOs0F3pK1BbA8PJ0Wro7ZXoqyCLcwSn9WJ9AdIzOWUQKsxIn7HGtF31P7s25b106/SScLuyeCaVO8dq6WygzVfMROs0ukvjoUJkggcHWI1t8FqsBSglrOfAxtjJgCmPTcP1DowCFLuZdY7yHbJXquokCQRHkwRHNhBUogE1ZiQICZrDZcbzcg3pQZMSPGGdOkSTmrv4ug80tjVtMhcwEGqaVZyFkPi0bsk6kCjag38NDn/vEli2ny0A4/5nJW38pIBZCSqNl9XW+4XtVXJucNRMAyx9omyRlcwHYQPeJlomKmCxHzFGCa9hBCOTqHS8CGEpVYj2JyYB4oQl2ZL9aIQyJCrrorZ4blCVKZVG+GOWJmtqZEpB56X8ciZxV63F4ATTg9POC2ZtyuF2ycEaM6kKt/1TMutxW3263OwTSZlkfBXkpczy19mCJSRtFCNqDt6VilrUBtt60dc143k54dvmwmOZ+Y9JYzmNV8eEsZp6zO71tmzVmVC4gPVAIsNPEpcW58gkyb2doylrrWZgWZkhNyFjw/nTUilxP+8i8f8Yf/6l/iF19/ifV6wfPzM263CW/evMHD259VU2VKCUyqjTOLDVGoCZ6DtPVrJHUEBUeayzquwx460pAdATT/fSz+/Uf3HGm4PPDy7/b7luKodd6/e2zfvXbdq8Nr014qnwWwOucLggREiYjuyBGvAhzVnoBToUs7tsN8dkJo5ika1PyVCMgwcOTyghStEYPNOFmvZeQOVlWmWUxkqhZ3i7lEc2XenwrfpFAUIkVN3VxNn4bKizhEAkhJOSDN14St/tzC0H304rg5durYyjzL+WIsRb8DiDGqYhlRab64L0vl87p3qSRhJEKy8XTXqb5TyZHG7E+Q0KK1nIWzMF3AHFTrRvaArQ1obXM3xuA6h+U2ELgcPM8VdABOiydApn7tdHMnzXSlaTVKYyGI7kBX/0lEoHkBRM2CY3Tplntn/zYGfc6aqgEznxmXbyuQmnFE/diRJMMMzWaOkpo5UuevHQALbKwMI9dzC9s77beQGQhlBkXhefCMXwgsGzhtiBZtKYLMqZpwUgHwoazbbc2IEZjYpzVRDab5gmkUYwM2YMGWtkYDcp8xO3MESfEbDFmjSUtKBDNze/NYmy9dZ6mk6TAibgexA8oQG7AqYGG7YSbBEgUyTxDkkvyUME0BclrArOB5mWdMkRDLOIrosSaBy3pymgYSFfeAnumIKAgtBl9wMU9yJf5Skx7W9VEFuPvMxwRMKnsevGeiJtRqDrVYUjLMeKCI81kPzZ6mCW/ev8Ocz/jw4QM+fPpYj+OKMdbDiwEg54QtWbqMVFN3rOvam+OGftj3zmzp/C0NrFq53TRi044Vul6v2LZNUzgwsGVgzTdsLJiWB31HIFyTgq44T4gQSEpInDEnXd8h5K49IWh6Bwz72Pb77cZVWxZBWEPCWfSe//Af/iPev3uLt28fMccJsm24Xq/4/uNH/PLxCwV821ZBogErpY9ctd0/ttwDTAZ+fwhQeXo0ars87/b029fnNWbe7HcM9pup2AtLlX8ZjRsAkH+Hp6VjW8bxuEeHXyqfBbD6w3/zR3VAX+ro2KHFffc+Lf1zcfebVGdWqSY0K43J9ekPANSIrQZk3CLr3t872lkbtqKp8JNr5UgiIJPsibv6qu9RIfRVGq1t6cPP/TvNvHIsSVB3Vp0nAqNJS0RNVMwqjVfNm/XDNuXB5qvvCxEbEXIIWGPs/ED6/rp/837h68977U+/dhpg99eJCCnSwFxRwUSm3lQ8lkbg+xDiwPut5efAA18/PzX/GvabW6RpHprpjjGVDBpVKwVdgQsJKPZgEhZAUTSAU0QBDm3v5aBnAepJHZqOwcaLuZwIENTfAwCk5GwiSyJqmhJmCBhLjKCSLXpjBXdAwE1UeAhQFXsmBQ+xAMEi2YBEtTW6X9WxNxfgiEDgMEEyIweA46iVtcAXRsaGmdTRO0IgsWXsHyXhbdhXus7LkU85Y4kBt+sZE6uZbl1XzCT44oHxL37vC5y/mNTsGIFt22q26nW94XL7naKdI7x79w7v3zzi7YMev8IiCFG1kK0Ptib2Jn1LzxHnCDvXUzVTwHVbq8Th+1f94KrvatOUMTMi6TEtzaSLCkLSrWmClmWBbCqgAMBpecSVGR8+fcKnpyfQPOMhzNjSE7bM2EpwTNpySWwqCLcz3iYFOvMSITdGZsbD44wvf/YO1/OKjx8+1rMD13VF2so4xOJzFCLmSXN2mYYqBMZWwMi2bZBAtc0fn85IHz7i8fERD28eMYeAVQTr7YY8ZUhgrEK43FbQuuH08AaPj49IfMbtdgO2DUJcAi6ARxsjtD28TLOueyq+wxIq2OGsgUG3TfC4RMzTIwSMyyXj6fmG5fmML969x7/9d/8X/u9//2f4oz/8V/jjP/4jPL57xF//6m9xWRm/+7u/wMNyQpwmzNOkAgek+ul5eoPia1nl/wE89GuDe14i0tGkxm/75KtWjyX37DRJDjBVAcjR6ZGv+xQN9ru1YXS/6KwG1PtSjbTU99cDM/+ee2DsH1o+C2D18EaPLkFBnfUP9aNjer6YI3odQmlX/AGs3cNxavfK7FYiN+mivRhK3QmwQ3Ark3ftrVqxnnFrFer7kO9oI46+W/Wu8bt6R8miLkJpTGFc+KME4evL7LQzR4CI+3rsL5W8Wb5euzZ+9+8LllXbbbwj7UFXhg05jsdRUcmadu3z9Ry1XUSqSv2o+I26H889gPP3jnMGND+Ae895sLsjZtQTEWN+RLTrg29rpOP1BOwDMvxvdvKPOlUbQGnH6QRhQDKIGfMECDLylrCu16KyD7heVkzzI96+fYcshFyyl9fjftw4zAasDsat7ivez6mleKtrzqLwipPx0ZwAQLJjW6qcVQI5RE3VcyRczs+IeUNar9huK2JI+K//q3+Djx//uJo9RQSXy6VGBq7rik/n53II8NbAdFJh6Lauu/Wcd4JV6RNQ55bqAe2WJTwgXC5qyibVZhsjSSlB3Bmefk3sx6L4dAVNVplJQUIVUmJU0ywLYiB8+vCM3373HZ6fb5inE9bLhm+++Qbfffqo5jQK2HhF3tbK1ADGuy/e44svvkBKCd9//z2en5+RecPtdsW63rCV+3POyJyq0DlqQ7Y1A8j44suHGqX3dDnX8WYGVkuHAIFA98k0nzQBKRcXziIeCAtiSqrlnBYdP9YgDAsWTVxM1SQl+E/qgdFweafMjy+nVN5MCGEGSEEPkwronIHLbcXDMuN8XfFXv/oVHh4f8Z/9we8jzic8PT3h8fGE8LOf4TQvxW1GqnZhJ7A7jU63ftz4jWBqpEMGdMbfRmuIr8cAywjk7pWX7rO2jvV14HCg7aOmzbf7qK9H/OFI8/VjymcBrIAVFg1YPEibpNUBHPddBMUppLuun7YAcvtNBDULe17bq0O/2Go9kOE7UIFVBV8DCPPPwZmnKuAZzEo/MFnR28O6e22TuN86/5u5B4gi/fj4uvx49i7VfWli0L7uwO0d9idlo1ezqxsj+3foifvu1XJwzYHu2p6XigfB/l4exvbetYNDk3/Uuxk4xGSEZobDHjy1fg6EZvj9iLh0JWBUdFRLpb+9e/SovW64m9wjg8zSnO8B5RPNcY91fWwr8rpiXQPmWR2Ln88XgGa8//mXdfvvxsqWbbbxGm4haGZ0as8cLmFp41Dv8VvIvtvfXN7lZC0wlKSUvr+5TMB6w/n7hCsl/AyP+C/+9Z9g27buzMbz+VxB3C1tuF5vWNeS+LKAn9vzM3LOeD6fi+YqlSzjJRkqBDX1BJzmoIy8T+BrAOvt9RFPl/OxNjZQNbePwpPlLIsUND1DjDXpZ5cV28BD0dyfz2d885u/x8enZ+QkYIn4/uMHfPP3v8WH2zM0grdp1mKMOD0+FB+gjGkKiHFGjIR1veJ2u+HpSX3XFDz7fd+cpud5budAluChdV1r9nb1Rwp6jM2mDvYUJtzWhC19VLPgMuPx4S0ul0s1x1uqn5QY6+UKCYTp/2XuzZYk2ZEssaMKwMzdIzLzrlW9sXuGIpQRLg/zBxThK7+cD/yAFmmSM9XF6rpLLrH4YgZAlQ8KwGDm7nFvD1/SUlwywsMWGNYD1aNH/QCZLxAFPBFQwRBQUs8UYFo2B0mqvMgCrCrg8Lwrm0uz4DrHcLAox3nK2O/3EBV8+vyE//Kv/wo/DvjbP/6Il6cveHp6MmHX9yUwpY2H6w37/a3hcs7WalSPns/WB7j0fabnBm/npt4if1WuzQbi1gavJ6vfsrBtj3rNFhBtn3dro39rc93f99bP946vAlidn75c+cGB+wh3qZDFp11Dbet1axS6djEKcXfd+lkNqdONTtaDrYXgtQY1Gz4XwPdXst9qH90AuXYtX6+QwAIcNXeS4eVB9Vy5YZVrdbNEZF6VMecOOG0tWwUIr67VUoe1Prvz28+yfrceNF29W/1O1vfC5vrtQeU83pZZluv6Atb3uVWGmzfH9XNr/6AbfwOKorydR+3luqOUgbbIkq3dCd0Goy9nX38KIzJTRQzXTbt6dHfe6n6EpRxUeDmqm27OCzABbCvPutRljkCakeYTPAieM+AIrDOOpyP2Ow+/Oyx9q/alsoEQSS2YgVZjsHznbpS7/l/bnQmgzQZANn2gjBVFUaNXAy2O6nSgAGfLfMwEpDNkPuHl9RMup1fkmAqXT4wzJYXYTRlDCJimCA/Fu/0I2Q847AJOo8c0TZBxQEoJu51fpelQKi7/AqoaEbkcLUpJFotVDSZ4PZ5BvudU3QqOqVVV5tSyKHE5v1r3pKT1WaKrikW6tL+Q4OX1hI+fPiNmRQh7ZAWmOeE8XXA8nxYgxgQ/BOx2O3zzzXfIOePl5aU96/X1Fa+vrwY8j3OTGlkCmRYLt/clV18BrlXS4/nZABOHxSouMK+B8wMGJryeT5iOE/wU8fDuEY+P75CzYJ4jABMSzcmsfdP5UiQYGKIOVbpENWOdGr12qXXdtvRXKEBEFMPuAEAQowCkYLDlK8wJGYrpMkM0I6cLPn76goe//oR//Md/gsgnvJyOOJwOOBwOCKoIJVjGLKNrC2fzHmy+e8vldQuQ3Pq9tkvvAtwCtVuk83tgbmuZumXx2l7b992es9q7Amv5+jL8e6xpffl+z/FVAKvj55+v0ChwjSS3wGsT5W/XdorZ64pbQqszb01/cv1cunZtXVmcVvnyesX4jQuyEwO8hba371k/sUSorOqmlyHoEtauH3fdWd5C+e17vu0e4OWL9f91/ZKFqP1WO27vC13X02oAFxCxttoQoG9znu4eV8CqHHJnoNQJgLdtvpT17cF4n/R+F7DdA4fAxuLSA98CYKpvrt5DtPrpbtyof2Z3n235bpWl1kfTNbtT1iLOCGbgcsZ0OSJOZkVwiODH92CZ8fTxJ3z3zSMQBRh25X2WcpEWpfEeNG7rYPvdLaBZreH9ZdvNE1E7DSBwATFUN0dc/D8j2fuPiqeffsLp+BHPX55wPp8xcI0EzIiNS7KQ36mA7vp743rEC6CKcfCoEb6C6o4uDe/WEio5Zwy1yturcHELM/b7fXEHL301qWAsc6lphy2ZHyDaAArKIu2IoDkjTZa4eD6fuzmKwayYNOJ8nvDzzz8DjvHu8IgsjF9++RV//eVnnC4zLucZp9MJl8sF3nu8e/+Aw+FQQCTw6dMnPD09gdkUz+u5Uyz1VgJF/BAQhtEWygxIysg8YwwDhmFAjBHH+dgI75Yuy3TjsmQoLIkzkUMYdshikXVPL6/4wA7vHt5jN+zx8vKCyzSDYDI7pASZI5TK7K6ErMYt9bR0W0ARQsC+lFHmiJwjPDuEol83OA83jHDDiGkqKXXUAqacd/DkkJPiEhOcB8KwQ0yCn37+hJfXE/wQkNOMXz9/wjAM+OOPf4BikRDIeR0QwzBe5+Cuc+QCSzq2al26pRm1BUm9pIGqriQWqrvZhhRdcbR6ysPWlbu1FG1dlfVetwBRnZO35SeiVXR3/7wqn7Jdm6mNkbwq4+8FYl8FsMon03m69QLOucVCv3mZ3P1q111P9NZQa9CSENvfjdq1RsLWIHKjPJvq6oDWYmi5Lkevsrwt27YxV8/EOsqkf+76Xteg6V7DvwmweHm//u6tbN079vePG4L3LcvhrV0H89vd7xYg29bhW+f3h+si/m4dt+rLgNV6V3Tv2qsBjnD3/Lee+8br1Qu2hSzP662Ndyx/Kzym6z+/BVr6ezXw0pepP7e8hMRiuSKkywvS+Yw4z+AwQCiBXzKOX35FPD1jPj7B87sCdJaya4cm6Vb9b4FUV9bqulrw5p32vXUPAFx4mAygcmAaUJsiEGfM5xOeXz7j+PoFl/OzkZ8RGujp+750wpRVfLRKOlg5jGTPSgtWbmWy8P46+Uu1YokzLhssd2Z1OSkISg5KjCmOK80es5q4Uj6FXqXf6jXOxCSKiVYgsFmxRBDniNPphOP5hJgSHAfEnHA6Rzw9v+Ll9WSaVSfTYhoPe4sE3O1BLgCkOB6PjW8GLLII9oy4WrShZM2hiv1hB8c1sbbCPBiKELrFt4DQmC2xcsoK9gOUkhHoiVvEc54zOJg7LnBAMrEYcJGOsUYBqgRrbZ1Yuo8jwPWyOQqo5sKl6qx/am0Z42Qpv4ove9VHa/CCmoGUYsb5fMbPv3zEt++8aWnlbOlzkgE3yxu63rA3Kw0Bb4GCLVeqgvcKZHrjRu0j2wi/rQWpv99NA0D3zm+d1x+3LFz9/bab+7vWrTfuc2vd6a1ov+f4KoCVThaaq0Cb4OoL5BuLVv0/u+X7dYNswua7c4gIUoEVyQqpLtes0XTrkKvq4tXPrWNurVUgEPfpIO4f2w4RJd69xrll4d6aOLckw1vPuFWeCgaurrlBCgZQcrrdB1a/VYatDlT/861O/P8HWL0FNN8a1H14/a3n9ZNNvxNiHu5e91YZ3wJWWwBXy6Cq8EWmpFpxtzvCjbZuN8netpzW/+9PMv0isL7OMVkqIxGQZJxenjCdzhYdd3gHpwmX/IQvv/6My/GE18+/YHQAB8uXlmvEUdlSGRhYl7F/ni1WyxhYhWn76z526+j7FRG1TZuqwlVrt5SFOkbM0xnnl1d8+fQzTq8vmKcJmkznrgIrwGgHBhBLmh8sUgiGUyuQsue7knBXVu9pYp2GWQmejMOjyi0iT6okBFlEp4LAfkB8OGA/jIsFP/fls/yCV9YDKbIqRdKF1CxDpMsYFJT7dIBL2UFF8Pp6wi8fv+Dnj7/i+eWI0/mM0/mM7777Do+PjxiCJfmu1o7jeSr92HSxanmYPaDJOEyq5p7s3Jc1yq+CFiu6NtFlVeM/MVeJDlPsjzGZwAoRuFi0sgjiPMOVewXnkZy5ZR1Zfk8qiaytjwPVvSewSGsHyz3qoICaJE/tB86b3AawgJzzNCFLgmkdWoAAq7mil0hNAKQmgXKZ8JeffsbD+ANqNPg0TZimCTSMcBtL0GosuEUXbjt+ti6x3praA6uernNPNqE/tutZf952zn9rfP7WvH5vY3ClC/mGNeyWpt1b5fotgPVVACuZbUK92jFh/XJrq41C82aX3VmQKlHQTt0CiMViJa2yFwvZskNX20mgTNg610d3xVBAuTN39h237Jww/S5LyRXAa6XaPA+A3KiXBkZvcCd+z9Hr3fT/U/f7tj1YUfZ1t9/rHhiw47a+1lvHW1F6/56jf1bPC+j/Zm0gN68HsNpJb3dyTL/PYnVdnvvP2wLRVRvl9e5M1fg4N4HY6qvriLNb7XEFunq3OJulQYrLqZKvjWalOL0ekWYbczKd4d1QODQXPO4fcPz8EV6SRQsqQ5HLQphBJWltVfq//Q41QHfhTWzr6FbfujfPAP2442bJrRIikiy673I84fxyBrJaJgTHEPJQElMmJzJXmipqxHG/2C3PJBDVTU2+GoPemx5W75Zo1uOml1aNamSRbcQQZnx4f8B333+D3b/toF++IMWIaYoYRtdcHVUOolp1LW+3wjRkjN9FREZk3++NBD5NmIeA+XLB6/GMl+MR3ns8f/6Mv/76GZ8/P+N4ukCY4Xc7PLDg/TcfMPiA4/GIz58/43K5gJmRZtu8VCL6UERyJQv8uANcKqRuB+aeUmEzpHOMYbA8iDMJcpRiEYomzkpo5H5yVuYkxcEaK2HeYYoXOO/hvMe4t0wGl8sFMSc87PZo1EhW+BpVSoJhupR2sTb13pnwMYBLmjEEwsN+h91uKHw5S83jOZr1y1nmDXalX6hYvlcsLirz3Aienl7w8YvDMHiMPuDp+Rm73Q7fvv/QNrrc9es6Hpwum457m9N+/ljA7QLWeldhDRbopRNqn97+rV6zldG52tj/xrxzyxrVj3nB9fq0PW97z/59+41xPXo3Zv+Ov3V8HcCqmVbpBpKwj+1a15Pllh7TtIR0TVZfI1UjQG6/XxbQHgEXvNYaZEsKrE/Iq/vbtYQalWj3uAdy1mKIt8p8uyGXndnV4rlZm++Bq6sdxwbUNuTfl50WSnXdbeffAFZ3n0356px7P9dr9Mazfs+xXYj7Z/TZ6+v/i5Xyuu76AVoB7pU+1hsA8BaIWX6/f929CVFVwXJnEqFrqxOwANSa0Hx7bHd67b1qHXWWWa3EalYAa34Hqek4oUyu5/MZTLYwO+fwsN9DckmFMa2V0VOar957/W7Ld/WdtpPmNY1qDahvfb8+GMQVvCyTcJ4SJCmYvRHHKUIkg7hmjejuqUZeZi5Jvql8Zw+2p9RVW7uNnZr4KjtAZOljJgZa2q8CY154WVyENR0AP46Na2UAdamfnldjY6u6laltqADTZ6qRiOfzufUDa6OE8/mMl5cXPB1f8ZdPT3g9TjhdLrjEhEucMc8J3nscjyd8iREvLy84H08AzOqUSsoXZo/DwaJGQ3mfOQPem6uPsZ4bjA8myDlCM4GcWYXG0SxZ1ToVczJ5BCjAHuwdXGbjjokiyQwnDsTAlCZQMk09Ghgumx5ZlGjEcghYLdUZOeuEjgHvXZN3cM7Bs8lrxCEghIBxNKthyhEJGeqAcQjN8sQFiCmwBLd0fZuImtvTAKml6HIlF+Pj/oCxSmhsxut207DdSNb794Dq1pzW//wWraVe2wOrev9bWpXbo593toaW3wI2279vwdSt+9fvts/aXtdf+1vg6qsAVol6IHM9mQMGumqYevtO7y3CeT3xr9BqQigkbcIC1tqYzVjC4YvFqt6DWFBygdQbowExtqTIqEmK+zLVCKnNbrqVr7785r1T05XKV9dYipAbLht626bTn7sGnFhBll6FokHOOzfWLuryVse7Z7FSve8ivWuNuwoguL7mdhlvW4K2Fo5tGavx763J4FZZ6Q3L073Bar/8tsXq1v2crF3aNRx++17SXQPgJofspuVuU2ZfyEsGLmvEmlpOOXTATGzxrX1HMhDzBBFBCDUZteWTmy6LirRqRooJW3d9vztd3knbOwNo701EcOn+RPjWJNqSPwsBzoPgCnArY3OOSHMCq6UEckS2UfALv4fIcg22sQ8xcMDbsbGIdXYzUhFKEuQCcnqwWJXs62B3pCVljkUjMjkQO7jgmp5ZtfJsBRFXYFQBdmyuv64epSO6MzNSSnh+fsbnjx/x66+/4svzE/7666/46ekFMQFTFFwuCfMUoUpwI2OeYxP5rPe1xddcy9V6lpKAHW/GJqFmluibbREVXixZqtmkCMKIKIo5RcScLVcplswMQmUNoaKBpQKNAJiw2x3ggkdQRdKEaZqRmMEqFhTNsByPqsgxGTndeYxjaGTolBIeHh4QBpN8qNwx1ZLTjownt46aA5zz8J5LEPAiO2DeFEIs9xERaMo4Hg6YHt/hMO5Kn13cdP3YuTWee4C1lUbYApDtuW+Npe3fqqWsR3mO3wAAIABJREFUdyVurUvb45aV6taYbXX0G+du/9b3ry3QvHWP3wuqgK8EWFUTN3BtBuzNh9uoATNdX6NPu5Gleqh/6yeSnPtOVYFbZ6Ys7giTaWg3LHwb6TRjOmC1OqQ92xaXdQeoVqq+3LSyjNl5WQnEFbX3dSPlufbzFoT2IGILcLadqq8bpkVQcRt7Vyekvm3az7QeqP3/t8DA8tzrqJNtWbfXvQWs3jxu5oRcfXPz70zXXIK+jPeOt4beW/fTq5q/ft52jPTAatW+tK7H/rkNLPM1aKrPuLJ+9W2s1CxVJtllnBIjWa+vr2r/AEqSWMtnxsyYp1TcNrlpD9XgkRZZxLmFSy8Aez3h1QTJ/XsDgKb7AH9bh/3vXLSFMhSUFUQlX1yZP0xwMoHE3sW4P8Zly1XehNb9QGTbJlL2U4zUDMLLGCTPIBT9oM6ybS57AxmcM8AWCGJWJbOgJFge0eqWqfNn/463fq5lUDULVp2XRKQBBe89LpcLnl9f8Jc//xk//fQTnl9fcI4RHz99QSYPyYRpylCBAZwYUefKqjuVY8I0xSbxYODKNKgyjLROzkAhSCBiaW/qnBLjhHF8xDB6BOcLEFkkALxnuOTK+cu4SilBCqDiAoSTFG5fTHAuIohgHAZoULjZ4YIMFbPNcwZ8jsgaoJoRLxGDY7COGJxHqJYjEriHfbNk1UwYAEy6AaVPMTXtMMB0rKqERJ+dYQFZXUSppqYub31MloT1tb/wtQfnVntvXdT9+O/vVZ9TwdLN+aG7b3/ck1Tqz711XT36qMT+fVTNEnzv3frf7323/fnWO23Lfe/4KoDV+dwXch0y2TeuzQtLVA2z5UW61fgVNNWKqZEx1iFq+KY0E/lqd0QAEK5cjUnWk3CTOyBAU23wQnTtF3IZyzW8NL5W2f6ypNedENAmTcvxYSRVK9siGWHGgAjLUaUA1d1chjrduLfK+0kJV7U1oDyrGxQuLHkAtzyQLq9afx0zQzEtrbdxw3LTvOp2Tlx3PbVeSmRT2xGj1U0PCmxhWCwl293MVmJj/f2GYM9dYuFuEmqh6dXComWHuxlgqgr35vPc6vv+UFzvklS1EIFvq8/3SZ17orb9bjrR5oYqC3ypV2Ky+1YXVG2N4m7INyy7FnrfTz6F3+K4JD8WZE5lAXMAmftKJAOoFhaz0pCK5ciTBNGMOXIDTA4B4zggZ8V5ilDyiOKQ1AFwULVEsyQEoXm1uLT6kRuTYB9Yop1lbbO56cmtvAK12hKSAygJxZeQ73meQLRDzBnDMOJ4OoGdAQgaXqExmouLDBDGlBBCwDxLIRiX/H4dL4/i1ABBG3+lPwlJEyVd9xtCnvf1D0WU0kFhqV5yyjhOCa+nC1KM0GhaSQEePD5gjgk5OwwakMTDcQCxaSx5EFgUh+CR4gycTvh2HPGHwwHv+IC//uuv+Mtf/oJffv2E1/MJKTMUe0AS0pwQJUPVQPL5PAFUI+MGe6ckyIkAIYQwtneuQDCJYJ4mkJ4t3U0IcMFDXBH6vFyKB4BxyAfI6IynxAywwzCYUvsQI5IPJnxqQlqI1VKuALJZFRmKmRyIFPMl4pK+4N3DIx4PO+wOAwoNGHUYORfAcEhZ4cIOSTyyDmB/gHOMeb5AVfF+/whV42rly4wHNzSL1oVi0SlbNuiqAscO5AhJEsDGXbzkC2adsdc9JO8xzWiu0fNZMEXCnIDgB4hECMh0m2EJ2kfvkcsGJ3TzVhZpz96CC2VC1rXEQXXv3ZNG6A8hAM5KScx2PxR+ZE2Y3EA82jwrW/mecr6IWLLxem90LmxoW2u2RPR7IGobuNY/c4spVptSue9VqMdXAaz+n//7v7QX7PPFbReYbUjoMC4E4bo4toSU6NwBJZN5Pc+V6DdmUyzeLmL1mu2OPRagxm3R2SzWyiBaOkVbqFoqm5IKgjyqe691AlKA142q2bgZjWNGRtSsFgObKMxdoCqN9JtZN1bAPs1A5aGt31lVwS6vgNOqY6U1D6kHVr21p7r3Wp0sfo2rdkdLmM3QzvJm4oxSCNl27dIO6113vT9Rl9pk8/wKoq8er0BFmdrKWgu8LLRrML08O6W4ul/fnjktZbm1i7plIavguUYb1XIAQIx6c0Dbva0vsJaoQOo3G9WKs7m2ZmdazSvVQrss7lZeBy3up7qDJmcTZWKgcgwLFEBK0SZ9sqhAs0g4MGlbRKCMFAVnTOa2Zy59vbRH0/J09n5pkSEA1rtprtdiPYYBdO50AC1leu1npc1crWVX+grKqlvHWt0sMAhsSZM9wcdc5goDvZdzRJzOOF7OBoRJACbM8wz0AQ6ln/pCSTDdn2llDehzfG7Jw6uFIhWLi0oB3AywSZROF4t++/jxIy7T3N4+ScZQErUzBJYkPiNnwMEjqWDnGCqCnIw4/uHDBxx2I/7uu2/x//713/Dx4yd8/PQJ5zkW61BAap4ARWCHKLm590S1AYoKHm+N19rvqtsMssyTbUF05oq23Itzme+1WYZsY2v8rf1+jxpENE0RMSVYLCU1TlmdBuq47MuQSx7Uag0jBZwjeF7nNbU8hUWkFFrWHAZ7hzRbjljnnBHV6+Zb6QoEALZZqRwlyeXZ5Vnn8xlHFqQ0YggBoQigTvNslmEANQlz8B7Om3t3zgluNdbXdV4BTD+/V2C/zRTRj6//luMty3Gth/45te23m3pgIdf361UPEus9VgYEbOf023PH1nr17zm+CmD1pz/9qb1AHRy3ZRDWL+790F6+AokQwppE6H3LZF4Hc3C7JQJluF70mBnDwN3uvyykZdJPqusoJem0r7BMjDmVMGSpQM6BXYBzubyjB7NZmZjZRKepAgtFnGuuv6oyPMB7FHBl+blEUokYsh2aaMKUpo0VxhaH7bHtZOwW10H9nqhE/qU1H2ptkr3tb1elBmiX7693E+sB06cjuEVUvB5c20HUD4x+sPbP6O/R+tpGesA+64ShW9f09mhAVK7ruz9nO9Dr0cto9LulXhfp1uE691u9prZRCw7p6qlNXrxYrJbr1wmriRZSeYrWJy+Ui3I3N1BVwX9NP6KSQJLhHSEEG4uXc7WsJlzOAkUq5N59kTNREBXeDRyocKwsga1ZRGs7tDZCkRjoJleU8or67v0KqCK0fmef3l0iq37J7IqlXEFVW4hsfskDIyPDD2ZFeX35jP/61z/h06dPECiSRKBEpwFAzDaGckwgco2gbQvo1EBUbeut667yc9ZzoYHBRtCu2FQJ4AHsA/70lz/j9XREgpGklRWkuRDfFZ4Ap1ICF81F6djDsQNU8P7xAT9+b1IJgRV/+tOf8PL6iqTFwsQG5tI82aJeAaQobNoQZLEoUWhRcSdqEgNVhqAS9M1SrWWOKwKqEo3I30WkGTl9LnNmbpatWo/ENp8Ng4fIiCoPMfgAp4qYDWSSmryFEpv6OXJzSUbv4B2D4MDIIEcI1erWLeiVvK6wvuuHgNGbCnoqeRqrd6SOP5JlnNX1o/bJKrIpIi25tLJZvo4wTa5xHPFwOOASLT1SUgFJbLkdhcWiVQlIKcKFtZxOjaJrY5+Xub0CK2vL9frb1oXfQURfzyu3aQn90QPu7bxe/69j4xbYugWq+nv379efs52Pe6vW9m/3uK798VUAq5eXc/u5VlZvJq/fX5kas2sgrAdW1YdfO+Qw5Aa+UkpwfMY4jtjtdhiGtHru0mkubRDXssx5ndHbQBNWkTZWLrRnqQikpN5xYYRzhOAdQvBlB2cuSh8CWA2kSNGWSTnhUjRevDdlYWCAKhWfPSMmQowTptk0TeznS5uUtyCVuqSgW989KF5Z6uq79TtoVTWtm1pn1AOKZXAubbq2INafY1zqXsrutidyVmC1bQdg7bbqLRf9p5ZDRHC5zA0kbQd1DZveAhN777hasG8Bt1qOmiS2cor6vtz36T5apu97tvNe68zUZ1wul1VbbSc6hwHV+tKD4+r+ok5rSlUxl0W6Pm/hpXjs9w9t/PTjQsUi/GzSTdCi3yYibZG1vHLJ6i1ZNOD7xz0eHvYYR4Zmj3mKmOdCUmaPYSSMY8RuDDDulQeThxsGcImEUsyonCUrU+fiE2l2KC38JmIun3Wi5f6whW7ZzNX2ExFokdJwziEWy3F9v5SSZSzyE0QSmIHX11f827894f/4P/8Z//zP/4yXlxe8Ho/muugeu2zufOPRsAIpTleLwj3wvep/vvIxO+JxAYB+GLE/POLpfMEpR0ySEBxBPGPHhJjKnAkBpwgmhaMBQ3DwSPibP/yAP/zwPX784TsAwMePH/HTp0/Yv3+Pw4cPmKYJn56+4NOnLzi9PuN8Plt9U9HqYuDwEPDwOOB0nlfj0SxMFj0XyoK/3tApHEbMjmwjyWxMCld5ZowwFj0sTYgZoAxQ7f8qyHGGZEuMbKRyxuFgiuZTzOCUgChIIqCyYTZLKwGqyPOMkwj244jdYPILjriV93w+I8aEYQjwgzOPOAlcCNjvRigEXz5/NnAUPA67vck6TEbiD35fFOLPppflHJz3yFnx/HwEEWEYvLnbQdBkfedJZoxzxEEU7B388YSf3K94/+ERh8MOh/0I7x2S5uaSZCKLfLwBcqRQBRiduClZ+Jf3HiTLHHePp3fr6OfR7bH9vp/PeuByy8BS59plzlwDqluYoZ+rt8++BbS219Sj96i9dXwVwCrFTn6f2dSA2dw8/SK1nRyzevMlK0HVAQpoMkVj5wguZ8wJmOJiUo8xYvSClOwzDOkKzPVl6T9z0pX1oK90h6XT9p3QorNKgk11gJaUFWDbkZeFg/2woG/kElU2QzSZy0IYuXwUDHYeCg9FgGiEqEMWRsoEaDCiZbGcKLilZqHiuquTl7nIioVBHVQtW72ah7HJG5j1TauYhP2dzA/PXExtRDWSvBH2mY2AS+RaFGar49JfVQEVRU65WQcWgEtgV4GTuULbNVqte2hlXr6v4NHcTylqsWoAfUyZtVcFVdXVtwykLGsz872Fbxnw1q/6KBgbjFb+Hlj1ZeAiONgHPSwTnyInau+yBZQAwFj6sXNF94bWE2Gt9Axp96n9pHL1JDsEb3w8qFk4hMxSa+6RUsdUgSsK8LBqUzGAI2IgSpGRlaHiAfWF/5RLPwaIAwgeKg45E8BsKtLkwWTAykBPX1eLO0lhYPIWUDXr0rCaKO2QejNQ5YgRdx8B+2CbEBAc06J8zoxQwuSDJ2SIgbNBYCmhBsRIiOIwC0OzWV16i2POGd5nHPaM3c6XxMZl84F+rivF7PqbbYBoGT5kBPgl/SSVfOMEH0YMww4hpLIAmZaW94xdIOhcrIq55L5jB6cJSIK/+ePf4p/+u3/AP/z93+JwOODp8yd8IeDxw3s8v77g5eUZLy8vOB6PmOIFYLP+BMerBZidg3ceDw+H5lrrrQ3euUZv6DfTzjMQPEDaAH/9LNYEQEpk3tZKEQYHorE9LxlB1jZXWaA5QrNYvTEbsJAC3EtkJtUxLordbmfnO4cxFCmHaQZEMQzFBcmL9T3mWAIcYvOakHdIIoiSkVTAYkmjc7ZEz1WSg9TGlQ/LBqJt1G2yhGMgl2TWsWzAf/rlF3zz/hE5P4LePcI5s0IRtEUK9tamNsepgHWbAq6MmTspv7Z1fu/YnnMP3NRzf+u+2w3lFRf4jXJu/79lpdpu3Lfl21577/gqgFUIJgi3tQrYpy401yjRbfzctTJ6gt06PUJBurrsnOrfKhLtBcG2YC6XzhdjbP7weh6rmfuZ/arBVBXsC/gqO152Ds55I0CSB5jh3NjclURFHNErtAgOChwEDknKdC+KJCXdKwUIpvazpwX1M/Hi06dOuwYKUSnpGoooIxU/gip4o7auIiU0uU3zpU1c0ZnpgQCKi3MhPhIRCOvchs71OxpzyajW/Iidcm7h5KjYwlsqt02CBv/IQsztpxa0XsFcbRf7VGKytPMb0aJwg1q51De0poru/RerHJUdLtkyD/M25VKX3D4qJbJSeZm0SylVjCharXS2EVhAVCtbxwFrzwYAKRGy/fN0zY8AUPW7yzuh7IZrlRq/y7hHQA2DbxGzol3Zy8SG6iqQ4gincn+YsKRYWcS0q5GykYjNUqtg8iByAHskKQBBjXxtRGxTHWC/WDXqONWOYL+eHLsNUlHAv550C7hiS3yrZDwvggNxMhdKvadySUpMlivOOeSopptUOJXsDaCRD8jqIOqQsllBJBvpn1zl4MwgOCg8nN9hHAN4PKx27GvrzfVkvrxfKuVa3ky1ELKZwXBgmHyKJ4Z3hCE4BAKmktnBEzAyYwgOj7sd3j0e8D/9j/8JP/74Pd6/f4ccI0QShsHjoozpS8TT6wueX54NLFV3FwksrcwyTO1/c4P179I2rLTwLOscDBRroi510ebOQj1QXfIa1ui4ZrH1BM4eDhmZgZQILUE1ERzP5vUnG/+eLDDJkyvuSq2zgomiOofdMELz4parfCdmoztUi7BIQoyCeZ4wx4vx2fwIFzySZMyXCdNkul2V6hGzIM0JqQQgmScDjWKiugnYcR5gs7AezxOSSkkuDUzzGef5jDlO2O0G7IYR4y5AkCGpm6+YmqDodr3q5/I+x94tK9NbIKi3WG0B0RbA9ddsN4P9c7Y861ugaHvdLYC0HUv959accut93jq+CmD17uF9W0C2lVr92XVw9Qfxoky7JbHZrqgs0NU+xFTE3czNZK6hCtYKeMp9du4NquVgO4TiDgGssh0IyrYY9NFnROYmNGuADXjHBF/M286ZpQC0lKkkwoLxvAaEMKNGyyz8M7u/WYpstxvCuETVgVeaM3U31YOrvr7tXW3BrErRSutJPsfrgVTvHYKuFgORZTfR6gJrwAqgA5KLFaefeG9ZKZs8RndetQ7V3ewa5BWORr52oy3nru+pyo3Y6m5YQ2p/2Jatt0jUsvWW0Hs7qu3vC7dp4XH0393aoSMv4Nl7byrmYlGUNTpWCJ0q8zVXichdl1V5wXLdwWxSBPV+q1x2st7t1fsnWa4NAQW0OXBxiwPcFlBXU3xwAdydxZWYLc8c204cWFyEdv9unuhA1npCLaKTtX3KcywRXxnTtQ93rtVi4Ci3UIt20oUT4vxQyOOKuVguyTlQcTUys4XYJ7NcWOSUx1iiPmtfrmWtY79v69X7NI27heBeXTv7vYX6c7G6MQFOFU7NJEIwRe6Bgf3gsB9HvHvc4T/809/jP/0P/z2ICPN8wadPv+Lz589IKeE4XRBTQhaxDSJsPjydTPAzl2hLT2u3U29d2HoHmnWr6+MAwER4fHzs3ruCF7vfMAxgV605tLo3clz1PYYUixfhNM1gTnAW6WFUBs3wFCCaYLss4yc5YgzewTvTuHeeMAYHZIEnNnFkWqghRIQY55KXcF69a4wRp/OEebYI1/PJAhZyVsx54fZhJPhgVsScHMQXNzt5iKYG7GIWxOMRczRr5G4fkNKMmGfM84SHxz2+ff8BLjyCHTW9NwJaFoFaR7fmtWqk6Pte//NvgYvtcQtY9fe9BZ7uAbe35uHtM+s8em/+7TFEP+duy1Df+Z7FrT++CmA1juPVotcfW0RZD/ZuVSFAN4k3DsmywBkoGdsAZWaMoy8VZrst42f1lrFKKBXjMUCaawrZQjwNJDFyTvDFEtWXdyiqu7tdgAsjvA9GDOWSW8o5OF8AkGPkDMQogBIODyPaIkiFNzb4xsES8aYMTR4iASi+8rqba7s9v5WwyM2CV+tJ8rWYXP05uOGu2dWHNbF9AW0LGbu2E7BM/i74rq1DM3enlFoOMIBXz3VuS9592xxdn+tcWLljFhAvYHZX/atGWOoN19x2gtguGFURun9+P1lVrab+ver9nAur/u/9QnBm5kLYNU2gVfuWkPUKcAy8LFaXXCOgdOEiMjOSXLfnbj/a38mvys2Z4AK3BT1347WEbZT7BOQ0Q4SbMrhoAvFglkQi4xMqYxhGsPfGPQwDHNekweYTcb5wbPw6OqgC9W1b1OjAtji7tUWbq0J5v/HiJepr1afUri+0LasLVsQ0Y9gFpAzEeDZe50DwAYVjY+UcxxFzilAFYrZEu3OJSnOuWC9Zsd+PGDvO2K1+vd1Nt/5a/l4VvGs9VdcfM2PvBxzBGMhhZA+dE4QFHw4HEBEeDzt8++Eb/OHH7/Hjjz/iP/7TP2KeL/j8+TOOxyMu8YKPXz7iz3/+M17KE2uOupwzYkrFEqttA8jMDZyqKmKeATJRWFu8MnIWOGL4Mo97v/ycUkKKEUQO02TBOOMYsNvtwMxGLI8RAy+RhnUuM6+ENuqHlVNBLjSL07jLwEyYC+nf3M3G/SIIBvLwjuCZWhJlVmBwtglIPqGPvq2ej5yBeZ5MoR4Z33//PQDjY52Ol8aVNLc+Ci82AlAMQwAH43LFGDEMZW3KgizLZjDOGYmkPT8XrvFuCNjtBujLCfM843Q6mSVrCPj2/buyRuUVObyfC7ac2wryt+NsOx9uf27AiNdApJ/ntuC6dxH3mnW1vD1vtAc4t8rQl7/+vt2Qbue8LVDr16p+vfm9685XAayC86vK2L4EgOLq2bgC3fWiZdwabROl3aNO+NudEYDGp7HrRDK2dWaLoIWNS87Q3KNuBpHAsQ1IkcrVqeZrDyYpliotHwCFc+NYQa6SgdUkGyBgEnjOyJRbGZkIjgSsAmYBw0EdkJIHBQ/IYArMBYzUerHFqbdGmDusdtiaaDjTNbmRyEzGBKxAWOugipbyY+lsfR0slqWFGF+1S5b2rIOo8jD6gdc/07v1jqK//q1dS06KTCX6hgww9XXU74itzS16KuvtkPDaL+q79QNdVeHdmjS93bkTAMeL1WgBdNdRj/Wofao+ewGNzrh03UaiggBVQIngQa2/GmCxczzTVT2H4BCCK+24WG/NOrO46FUVqdORq6k7bcE3Nx7rYqH1RDBlhaUPMFd+kIBIQZxhbkCAuXxHVVZDYG6+Gjlo7uhSYeWzjYDsybal35CiZiggMqkPKYENolWGoKuvpoxuzl5FgqhCZEaWGZQFMU+IeSrBDqbn1cR9GcavBOw51XLAWvhwXYLezeS/7R/9OUQEqp6a1t82edmQwaJgyXAqxsokYBg9/vjjj3jY7fH+3QMeDwd8ePcO798/gKH485//hKenJxwvljLll4+/4tOXz3gRIzT3UcK1D9ZP7UupgPmaeKK3BtTFtY8Cr0FH/fyfUmwgynL/aaurhZKBwkWVpuo+eIvmTCqYc0KKAs5dcmFiiw4swQlZLU0RCbU5GAJIAiRHE4xl835IikhzibxmNc4WCXJMEFLMc2xzmAXOXJCTNtX5KvAZp3WAEbPVzwxBcOYBqe1YIwQbn4uogLgzpslkJ0gyvvn2A/LgW7/58vkZkoHHx0eQ2mbWV9CgtuZRvm3N6Y8tqLl39H+7ZSjp58F+vuyfsX1mf9979+vv83ssSr/32AKy33t8FcBqDAtCTamSkBVAl8cN1CLU2qHG+WiTXgU+qu3/VtlSFiBmQBfeT6I1krYlSFYNJeW+MXU6PpVjQmRyCmVidpQgNSHuMMCyXwJQA0tMGUyWKR6qIK3ljpBU+BsoADOnkowTANj85JShVYsKGdBCdBcTY7SUGZ3wIfMGWPWmUSNOtmTRch3BVhf/upA3K0tpCovGyu369S7AJr9+B2CTQrEAdLuhxSW7HsT26Xla1hfaItmut9L01/XXqNZotrxgafQWJUW1AvX33Q7ue3+7d/Tn3AKE/cagWiG396+gs97jFgehkpjtoUaSEjGieuObdXWSNZlFhnxXb/Ucm3ANIFCrlwpw6nmqQFA2DSXBEj1U6pnV+phzDsEZ0EPZ+DQXXeXlCKA5NmU4Jt/KZMr+pd3FNLuo40AtbXO9o2bnC3E3NzDfT+zbem7WxxuTPJHpaxk4T0h5xhxPyOJwmV4xzUekPBe+TwU4GY5cm2lFnYkJs4HK4BlhcBjY3Xze1fO378fdeS1jxDL2SRhOARbFzjt8++4RP/74I/7mu0f849//nWkhFYv2MHgEz3h6/ox/+Zd/wWkyRe/X0xHPLy+4TBMSOVxO51U5mBmHw8GEPvMStGMfRVbF4lFa+rJZZFyz8Fd+n7mSCQAjaYSQWVxzitCJsKOdCbBqLvNXDWAxKoeINPFMWwtQPBgZMSZkMnKIcwBTAHsj3quwuQLLXGrlT0iJkOJkBHRWxGTuPEiGo55ukO38OUJyhncOkoHL5VysbjXApVhiEhX3pJH4bZwniCTshgO8ZzM6oEYbz0U6ohoOyrvlDM0XHC8O8ZcZ+/0e333zAbvdDgLg6eUF//aXn/C3H74r7RSu0uv0Y2ELorbc5tU6cAcYtXlA1wmd71mV7h3bsXrPTfjWvX4vKLq1Wd9udG6BxVvHVwGsPjw8dMAqrQp+6wXqd4nWIptCAqk7aSx6F3UH6gqtWYv7wzGbmZc2KsgV9JTnWbZ3AomFkKtI0c4pHTFnXC6FB7XbQ3IFH9l895IAF4BxAqCQlKFEgDIiE0AOMafWiYWKubREi5i4ouleiQ7ImjAOexBbBB+pCd4JDLRMyGXCrTmpuH3sqCZS6j4KH+oib1YEW0DroLGFVopFadXJUyWcl87eaQpVDR+bQF2Tw/DeIxQXqQ3UJfJFZEkbtLovSruQRTIuQMU+VXLD7rkWlWM2EKni2nWqCmVF2C3aUeYCzG2Sj+l6h9SDz75PNstNzmBaZ4Hv+/StySKLYJ5zA5tra5FCGgcD6N1dKkCG6fz0dUVkEWu3yk5uMb33kgpGJrbfKyC26675biod0CvvEMt3OU6t3zApBrcD6QBSMVFVMvK6kau1bUrmi4BcBJPJkDgXWplyuNbiWup9DYj7cwLtmkURsIS+2/Q4ALAxhiP17anVur24AwWKaTpjmo8AFMfjEafjF0iMIFUEz0XHyAj6Tku/SxmTRkhiEAYEZozeY+fXkgPb+r4HrBaOZGmLZJo0Xc8ZAAAgAElEQVROIgrvjXf5/v0BH775D3j/+A5//OMf8MMPP+BxZJxeXjFdzsgM4JTwnDM+/kp4fn3Bx8+f8Xo64jJF5CJJMX54hJwiHveH5noTEQQ/YhxHWKofEwSd59ncXLPRKC7zpdVtHfMpJZxPp6sx0ixaCoAd9vs9Hg6PbWxJVkwyYRzH1n9tTsqFliFtPq2aUgLC+XTBfL4gChWeni+bUAY5xn4wxX9ATAbCMxzUEidPE/ajx+AJU1JAIjwrxJnVkIksmi8LJNrGmzJwfDni9fUVKQG73QDvR9tEZ9uk1DUvxggqPLDD4YDvv//eNjIQ5CISOjgPSRFZq4VJEbzHOAwgUjx/esXD4x7zlHF+PePTxyd8+903+O677/DTz084fvyMb775Bt98842BRFqETk0Da8kjue13fd+8Byp6Q4SqltyatzejFYhu+/m9+98Dfj2Y2l737wFUv3WfLbj8reOrAFZjWKI7gluLjvX+4KtGgl9VXoUXZklCMfebK40rOCFuEgH28auFsoGbFTK2xXywACMbOBvUXoGao8Wky7DB1oBakmJNECgZz0kzA04AlaJ5RSVcXVDD1w0ksS3WMC0VX0jsQgyIQthS2TAY6JKuMmNlrbKXUmQUq5mQARUC2HfuP6w7MLOJUIqFVEJNwKsAyMr3oMKhYZhFySInq/WxRZkVkDgMu8bHqLvK5FLhRiwyG1VMlYjajrgP3W4LIC/aJlvgYweDKG3cESY0W/uUqof5emOJAFsDot7tcQtY1QnDeDQL32R53hKO3ltIRASOx6skxrXfO7fsMG/t2ihX92pHNoVJaxARtLrDicr2AqV/2Xc1phGun8Su3ZL1b07VrAilDbIsbjiznAggGVkSdLfr6t8yDxi3MJS+UvsGzK3CUlzyFvknlFYSGdc7y/suhBnzqp2qCOX2HuzWLtttIEzuFgUjTEfM0xkxGz8m59jalVAjgBUhK8AOJAyBIFEElU2ew2JZ8r9lsSr/WqnV7IjK5QeY5AnDgZr1V5FE8PDwgIfHPR4eDmBPeDk+Y6ADXl6fwSDsHvYAE15en/D6+ooYJ1zmiPN0QcwKP4wI+x28H/C4c4W3NGPOluy+chjn+Vyi3RKmOWKOCTEXfmrnbqoioiIZuWjZVWHPfnOFLCBvAUMPD2jcxMvlYuP/IAjDkqpsHQBTrCSbjQjAyEUUVCWabAgTODN8GSPBM7zzGAaPwTvk6KE5LvOKsz4AMpkCcr6NU0m2cQZglql5gsRG5rByqG3os9bE1lYfYQx42B/w8LA3y1TKSNk04UgsoChnS07e5ka/SFFkHxHnDLezOnt9PZlFD4zHh3d4enpqdfTdd9+1vI+53C9DQbrmVm3nuG0f7a1WVxadfjPSgZPtfHIPVN0DOD0GuAfyfi+o6o+tMectsPdb9/8qgFXlijMt0T/1ELd+uXVldjmPcu54FhYtVD8A7P9CvHJwJoYGRsms2j6O2SxAJYqMuIRaw/JcwQFzNrG7toNUAzQqax4SsgAsyMiAAHGekbOCORtF0mZGI3GTlbGSjEUSKJvlhrwaibbyUESBLOYuKRokTh2kuF7gw6ozs1sAopVNLEcVVQ5L3QkXkLh4xe5YCLaBBuaOrZYNM+fbxCImH1MWcoV3tqwweXg3YAhVFd/chs5Vi9hicXIc2s5U204ngmgBV2Z9WdT2t8lnvQuWJkXQwDdQF8BtaiRXPtG8rd2g6hX9a4BAvwDbwmoE5T4LQP+8BkY2wNC7bPnB0LsoizmeIqBz2TQsZPkFDNTnl3cGWpsuO0gxXl+xWPVk/vpeqgBRKoBWWvuurGdiXJ2cM2K3EFb19ZwTmMj4RjliNw7Y7XYILhuQ6zGEFKubLH0ppwyT67DIKMAsAX1dL8c6kmzdXxmeuM0pIoLMjF5Oo55f88w1/oougLdZaMtdiRUpzZjnC7LM0OLyzjlDkyUeduQRHCMzgdlBXNWvChjiYPxQ8nBkkWehI69v38X6VAFWdW9UNjIa6mJgQFo7169kwbAL8M4EYS9fPoNIMTiP+P4BVDiWp/MZ83TG6+srLpcTUkq4TDOUCUMYEMYRVKzqu2HE5WIk7JwzQmCQGn9omiJOR3N7TdE2AtLxUfu+v9pQuCWgIHUWcYZttk7FqrXbGQivpPTj8Qg/2fiqm7x6/6rlZn2WkLJAmeDHASyTTXCEouyu5lqmhCHY2AcM2Knjxtc1KQX7vx0k2IWhWPCqmHCZa7M0i72v4C8tmxZf5nRmj3EcsT+MeDzsMY4jUCgWLVhF6roiLRG9qiVfZ2YMzixdr6+v1i5+BDMhJcHz8yteXo54cITX11eoWiLs3W630gXbzmW1n91ysd2yXm2BSeunG2BVv99asupz+43o9nnbZ/XPuAeyfuvYvn//+y1L1e8BbV8FsAKuUWL9f7t49RUussgG5GRRdCi59Zafy/3AQNHk4U6mwe69WFOkCFSm1EcUWBkrEbt1iALcDLNZxBZ3bUverEEuR8AJJjfBOwU4g2CidEoOQRXqa1RLXnYyyZK1mh6RLXrmJun5Y3XRc2DOgJgI42rHq9U1VhNclp1FARoqNowtssjI6uY2XPg1UOMPLB/pBl8oVjpzmdTFyCYRu4dCVwOsEvtDGFqC4QpmmHN5X+3OLWCRAcKSvqM0F6AFHLBr6TgW4JvhXGiAr2psNf5PsVgBRi6ug5uZkaWGX9dj0ViqgGyx8JiLkhnw7GwRHYbV4PTet0WYKK8WGiIghDWhfZkwqkColOcAizWPIZMpy9u4iEWvCt1ik5pCfq8yXo8FMPagM3TvtlhyRASu9NEYI+aUDEQXfo+kDGKz6kAS3j0ckA8J2QfUBKtWh9IEEqX2Q2JUHas63qAG1q53qtfk/2qVWMaga/20jxKqukf1mgqAa9sLFqCcYuVnleRAJAVYTeU+BqwqwKTSXtWKbbIE9l7OxUZU9p3lc7ub7yfvChD6xaP9Huy8lMxCqOUeXCwQ7w8HZJnw809/xfPzF4zjiPfvHzEfn/HjD98jxgkvTzOmywmkGYfDwSLaLuZqC8MOmYBT4Qmd8ktLETYMA4Zhh5QSXo+vELHot/NkZPOauqa3PNe5ob4DM2McxwaqahuFEDA4j0tM7W/LfBCaBdfAqm9zSO2T3tc65XLeIskyzQlgV9xxtiEXsU1wU/pXi/5EEZtWEcRphqQM6SyUzrkW1S4iTVBzAcXdJikTsuayeSGEIYBIm/vv4XGP/WjzRZrPqByvnDMkxfL+gB+GVidGhrfn7veWTQRFEqhqh10uM87nCd//sMfLywuen59xOBzw+PhY+I++tUk/3rf98C2gsz2nGiX6dv5vAT/1/IUyshFG5s1atynn7zlugbbbG7VrS/K946sAVh5ji5RpEwdsgiTpXpBQyNJFY0MWroTqjCw97yYh5ggtYbCePVgYECBwALpB38CZdpoxRQlZiRrBIgmBdY8xhtVOFroIYfrcEcATAwmQ0VwuTALhecUB8r5EIs4EVjULlZq+zBwtPyAEEJ6hAcY9YQ+dzvD8AIABYUhiaPIgEUDXBFZWgAqvDNEmfdYAzlbGFonndDUR9p1IzwTMbJ9k1j5Xn6EbTRoBKDuwmCuwHizOrFT5gJ3u8ejeYe/3zcQ/5xkzzUhIYMwlSpLg1MGpiX86YWRlDMSY2SFxQpIEISl14+DIgTtgJTAg4ITBueSV5IVf4GGRMnVxyzkjScQsM1DyLvaWnaAeAQEeC6m+3+klcRhcgFOHIAGui7ZkZVDYIVHCLDNmmZcFmQIuQFsA6m7S3CJnwA/rfgfTLAsuFCVms3glzKVNbWc9zQmO6s60hJSLwCmQ0xJBRMwgz3Dj4h7viciKJTpp8hVAA3NUpDzjPBup2UjsJbKTFKdDwocDQZzDlLVoEzGmKHAccMkRKYpxmVCs1kpG8i7CsRxvmf8rKbbTS6N1BOyMuOrLy3yxRBmLKDQJsphXnkhbUmNVxVwSi0txmDIxLnMEMmEUjyEE5NOE8eiw13d4oPc4nU9wqjiU8PzT6YQdgD0C0vAezIw97fGQH7Cb9+ChgL4a5NiGTRfdW+Y96r+bSz8n42tmzUhZIBKx3+9AQfH66QnH8zOSTBjJAZSRo+DXn362Pi9mCTns9xj3j/DDI05nmCVcAjBn0KtALglPTjEKY7/bgcMOc1ZcJmCOKABrwhSXlFrkTXnd6d6yTJCDpgtSnjE4j2EMcIrmgnKFlhCcBTo+sIEDpwKNM0LY4RBGBDByAbPz6QIhwjgO2DuPwZnHYRCPEEbMmHGOZwAKNwBeTOzY5h3CebpAVHFgjwEOA1ybtqTMYcwDEsGAXlYoDSBPUHJwYyGjxwkJM4gFoWyoYiwGAmfyJzlnTNMEx4yRqYDTgHEARhJzRyKX7Ag2L2dJpgzvGOw9BhqRWcCuyrYA5ykhoW4SHAIsE8kABrHHl8/PcDLj22+/hXOEz5+PIP4F//B3Hu7hwdYI2EbAk7NMGDnDs0OUuAI2db7Qbt27BWYcaEWFsGvNnc2rzZ029zjB6B51S89FjkhEINnmLHSWW9aFgtLc9WUtqhwu7XIg1rJXTS9mNs7zxnrWH3XzWyNXe4veveOrAFb7H74BsN6JLib6ZfGqWebrh6fOjVKsABVY9ZpIvYkfwEpIsn/u9Y54bUEjWUTTRAScMyC66mC+I023xbQYRJTZogiL24HgECsg6dqyPjuTgoN1TDgHGkboGKAhAMMAGU1UUSvnMhko05Ssc1FJR9Kjer8AScmEzIrMChFCKrvvpW8u1rroCRkOQh7q1yGoHELbnRj1QEBlwNeJqS14ux3oIQA7Dz14yM5BvAFV9YA4hWZGJnOpEBHgXBNpNBI3ITmCOIZ6V7xFCheCcddq9GcbIIo8eYgvBSyaQsImYKTskKiPgCSIZR+CqvkyWz5I5wDvgRDsf6BZCcwKKEBmZOdA3kNCABXLBIjAJVRdPFm7eQKSM94agF3RlOlD10XMJaFn28VyB/SYGT4EwCUgZyNPRwCRkOeiUD3su/5erTeFr5XKRoIISgZ+UnANVGnRGa0yC9k5WASnmhsPCsCB2GPnHgAU6wJySU1D8LsB8B4JgB8CXKi8OgGIEYYBYWCcLjNMv6puajoBYF0nkF2OhQ/SW0aoWOeG8XAHWG04Vh3PkogQgEa+dRq7a8wa5Anm2o7m9h2GAbvDHt//8C0u0wmXyzpf5+VysfrrUpN4741PM3o8HKo2XYbSEpWcUSy8IIBs06KFo0NEIF9yEZJtPqLLoDghiQMkIc/WHqSAd25xl4slGR6DpVsZh725a4uL6PHRZBZeX19xPplmVcwJE0vhESnmYFaOeTbLSZwzpjiX9CwWGOKKergjIM4Jucg01DZLKYHJWb0yg+HNal8jB/24spi29lXF1AWr1Hm53jul2AIwVjzMnItuk2+yESF5CBTjOHaJnNUEXKWz6hID7JBJWnQokbMNsaoBCbLgI082t4y7AMKSt7ZP0TYMSyBPb7HU4upsY5wcyFGrr8Sp6dU555prPaXYLHd181AteNM04elpwm63M62rlHE+n3E8nnHY721DDjNcgJaxVIMj3jq26+ZqzezW2Ppdf25/j7aebMZzbySA3FiX7zyvjfkb5a2GnN7l2Zdh8Ypdaw3+nuOrAFb/+X//37rfromlW/N+e+nuu1smwi25fOlw97lDtyqwndsBuxpavkK6m/OJjK/EbkG57RncT/YF7GzIfr0wWr2OaRmEVWG6t6hYvdwm2vUDZdtx7P73w1W3vIi+jrbWLTv6dlzqvrfGcMeFAionq1MgLvdZDS4pPCNcL5DK60FWfij37vrHJs2L21zT7imKmBc+RT/Ab002vdWqAYIbpurtAt+3wV78ql7rUTcIW2BQF5ojpxXory7NBXh0E2SXQ5CwCJL2Y6V/p77c9buHvCiFmwNKimBvdc2b5IADYSzaO2makdPURB5TSng5njCEEe+++daeRdUC44wtVMuzjfzj6/bqhX/r30TXbsJ7O9PtJN76CGnLF9kUtlMES+HQvLxAsyBNM/7n//y/4H+NJqpZ71n7Qt2dq2qzEPfuw9PphPPlgqenJ8SSkHxOc+PoWFsB6FyiXAJCAIKoLvzMLkp2jhdcXj5h8oyoDoMIeJ7xzfsP+P6bv8fjuwMOhwMYhHmeC3dKsRs8Pn264NPnz7icZ+QiP3ASQPUC5lfU4AKz8NrzTvNslgYy2gUIQFZkTZBo3FTvHIIbm3hsTmqEcGYEIij51l89sVkOsyDPGUlnmzOw1r5K82SkbgBDCFBn1zAIuyFANReJBMGuuDKNh0jY7QxM/fj99w3kzPMFx+Mrolhevv1+xFA2gLG4hmdn7sTgGY4BwgBfgj+8t2cQLwFRQAXWFpE3HnZtbK7GrghO51PpQ0vSZxLrO8fyN+89ht0Oh90OfjDV9QroY+ljEwShiOIen09IOePHH37A+/ePkAz89MvP+PDhHbwzz4YUa60rgD5JBoclsOveHLYyeHQblO2a0ach6tfcfj7rrwcW3rJZo64BVJsPeT2etz/3z8nSuaO7IJK+bPX/PiCqHre4V/3xVQArGsP69xWw6tNT0Obvy+Toqc951gkHwlxf9WdVBfSasFf/bxXWwFRPmrrx3fb3+jPRQs2RznpCQAOJqmaN0cpFKqdRdy+i8vc1iOBqkWnXdm6pVszrxeNtxH3fvHmvvlpZVgevBkp9lfo69VYlz28rpw/1PVwjjNZra90wfKvW7TO2gHJV7qZddn3fbjz+ruPeBk6792l9dXOuSL+ju77emadu6TvlnLF6VZeuv/ydgbHWF/XtUsu7WKpKKRbXO/xVn2j1ecPc3doqlkVz1a/L+cY6Ll9adCtyxvl4xEg78G5n/T7OeJ3O4NFjeLe3lyJXolm6PkWuvlhfSDRC47ZP01L/Tt6YALcJZsvEDQAtuJK4AW+oWagxOkAFmCPSmSwvXJ4AFjweAga/WMl6Hlutvz54oYKr8+mA8zxhHAKSmPX9EucGwmwBEIuaLO/rQE3HKeYiVUMo1hGrx9fnL/iv/xeBJWNgwrvdDh/ev8ff/PAt/u7v/g5jcW3M82z5D8VkJC4Xk0cYxxEEhynOmOcZngtPSgDJ2ZLZi0kgVOlTIgKVhUiZoOyApIDzoELXSGIpYYhN70iasCtW0bTBB1RA0m/QSC06uqryR6rubLMsCdtEys6yWww+IEdzjyuVtPOqgAiCczjsdtjtdmYBkoxUyChUutM+jM0N5DkCIhioiCyzif1yUWtXVbjC1Qrj0BZpM2aTgRhmuFA3xsvG1X7fWoksCIO8eUZSMsX7eZ4tupsVOwJCsT7WycH024wiEGOEE8HLyytCCHh42EMIOJ1OOB6PeP/unaW8Ks/XAmrNK3/NK9paqbbr0/ZvtQ/f2pRvj63BotYNMzf9yJsW6LZObMVC7z/nt6xx2w3Xb51fj68CWCFOmy/6kMp5+XqTrkI1LwO5jzjY3r8DRPbTsgtcvivXbSwd9Rwrllv/rT+n3+UC3cJHzfVUeqmZ9Os9mwAqL9e1+9bFqc75fcel6oNa3rcBz/JrXWm7a6i+z1sA61bn6de0zf8l9MdOu2XhqOvtpt7YFVmG4mOnhrq4Pw0NEAsDFK+fXw6HG0cDG7lZPmhBQBske+O41Q9qO/eAsrQDlYJV4NIP9nJx01Fr71yf0wPqHk0CC1i4AhFWZ3av+l3/8rD26ctfEtDY5XLjPcvr9cCp1Vd9ZolUWKHS3KHnIr4DAnKEaETKE8ZgUXlwtth+ef6M3XzG4d0O4+FQAkwVYDH/OHfgbAuctaubq4O6l7h9KF331eWP2r1fB+BIgRIVpjLjMr3gy5dPeHl6BqmC+bia7Gte0WpB34KtxjPRAM0RwSnYOYizjAk5ewu3pxKtmxewy0TIyfpSkoycPZRppRXHEjEwFbX1EX/84Xv88Y9/xD/+4Ue8e/cOl8vFyOo5gwEDBsmCHcZxBLPDyZ8hx7KDp2CuvpgRs1EtUrFaVqVAx95c5mTjGtpbHgEp0XNExiUtui8NVAVHCMWaPQaz7uQkDVxBjGeGlo5JEMiCBKxSzUpDRHBi03bwDjl4XErEqkoGAfBs3KzDbsR+NM6GpRMza5cjYOetTLsSCEGZQPAIQSCOlzysvqrr13K55pqLkotL1vhwXGgI1q22Y3qJlOQCCnrL9ziiaIWZ7MT/R927BtuWXeVh35hzrsfe53HPfbRut7rV6C0QGIGEMSAqWHGMAQVTlYRyhZCAqygncSpFAJcrIWWTlJNUJeUfSZWdxHbKhV84NgpgO0Y8YhUxFgaBhB7WgxbdQmq11N339rnnsc/ee6015xj5Meaca66197nd/pNqre5T556913Ou+fjGN8b4xmaziUOhicAKEOEIfD04un3bWlnJq6srrDfKHPsQcHV1hbZtUVcV4usCRMAm1o7FLoDaZ6TPje85+Jr/Ox0z93yU+5XMliaGvDxBcB0r/XLb/Jz7PBM7Xo1rtlcFsFq9+MLOZ4nBSdRh2qhgZsjsf0HlZ+XvfBymZRPKfebukEmHMLvo9Tokn1KeFVjNXm5eRO2Mjkn7JfohTaJ8DU2yZ1Ecb2R6vbSZHDSz+73Q7v7l+XYW+/jbxgVfaFzTd8AsMggYr6vgbwS0ZnodYxDVUhUMEQGmANrlc+57HhrvmzhOZOm7YoHaeZ75ufZdo9x/z0aGxmdJz02kcXlzQF4+DqaT13UTw87n7Gb3WDyf3fdc8d8+7D5H2f7p3mfvpVTKT92GI0izPrnAdByEYcCw7dBtVrChxjKCFRl63L/3PKq6RtM4PPbE41B4bNLsPjJHpVZV+Yx7AdHIWMl+uK1NYIvvylcrstsXmHOQN/cDKDBWFxe4PL+Pswf3cXl+DksGQusJeEquPucc+r7PGZkJbKUFw1Grwo9gGBGobrCBs8kuIyXoeJwXDBFQx/giGYVeyaSqCYTDtsXJ0SHC9gp1XePOyQ3cvX0Lj9w8Uffj5UW+r8oZBGcBCWibBk2jcW9D8HBOA5htcNjIgGEo9Mug2cosHJMPxnhFbUItNUYs2Six4wyJymqmn4ullMoyN01Vw7k6snsxyUZSOSYDpIQla1C5Rt8P86T+nYGgqStUBFhhkBk9Fs45LBYLLBcLHLYLPT8zvDMIlUVja82kXC7Q1k10r6XwCy3GjHqMd0oGfmZm4t9VMPCG4O0YKD1EtyGJ6FoW+4QRp1IPBQgpGZq6dmqjm7Hws/ce260UGntWpYPidyFoTC0ssB0GnJ2dwVUGi6bFplP5DEME17aq/RXnIS8xGYnG2Nx0TykrMt3ffE192Bo7GYfFOj0HVvNnJ0zlH8pj5i6/h4GqyTWxe1/p+2ng/fj3VwSwGs5OAcSHkemN+9w4u3o1ZjZ4y+Oui23RH9l56en7hwErttOiz+XPnPIHdPIAlJoWmQbKpXOEFAA5exZgLJxb3nv6Xl1lRYel8T4tdjvUPldePmdcQGUI0844//c+YEUELuI+pu1Ms044fUab5N2NG88fLXhtnxlYIFImYzzJ+LsEMeX9lp+XwCqByxLslYtpvmYBfsu2INJz7NuIdGSJBqJScQ0OAaaqpucs/u3ttE/O0/BT+843N+wbyrx7n/Pah3NGp3h2kZgyXbZLbEe20cWR3i8xKI6PQSKrYy3Agn67VW2j1Qr1wTEGQ6ggGPotrs7PYJ3D6vgIw+2burDEQryhEDvVdWd3zKbnvG4Sh911dabv98VJ7GvnFOiPEHXxAqPfdnjw0n1cPLiP9eUZtpsrLJoWPmxzTJW6LlTU10BiySmj0iYSrW+9KkRUpsFao8HQxHEcWwSK9wuCIGQBUH2GGIAtBq4ewUQIAcIeTe1w++YNcN/BkmDR1CrILAGXF2e4OD8DEeHg4KAomszKVtkKQcaA8aZpIBtR5fgQs6XAOd4pBAXSFlR4aSOj5oeovSdwxqpCugEsCdqmQVU5LJoq18JL22LRoq5bsA/o+6hxxdofmBnCIcahxSoCMXmialS9P9cOrCuws7DC8NF9mmK0Fk2NRV1h0TYI/QD4Ht44kNOSO+2ixiM3VK3c9wPWxipgTvptNozadrbOwrkiAooijSz1RDuOmXEZBjUuCUgOCKN6MlFecXcBT2DGOYfWxqxdaBZuHzycH9AgCq4aoIp92Ice277DomnR9z1Oz8+V2XykwmazQTf0UT8L6oqPshIo1qzSLZfceuW7GsfLft2r+Vp83VZmI4/9PMZMF16hEjztA2cTb8DsXiD718T5+l+uYeVzfUUAK96ur/nGTBqFKDnD9HPvxwEyMkXIE4FaVGMgsRp8AnWxjR33YcxAui4A+CLNeR8blp8nfp4cji6V/0j3vufcLLvnE5leawoc5ze5/6W/HBU6+V52F/HrzjdtsxL08mS/h91Lh1Hkcny+PdZGwY5Ykr3nmnf8newRszsI053ts7Yw+64c5OVgm7dH+tmX5VmC/vmWvuvc9YP3YRPTYkhaXLsgYwQbu5PBy/WVMuEiJR4AQEdj6aV8LtLrW2s1ZZqUVdhcrnB1dYW+71GJAL7D5hK4urqCDFswHNarM1yc3tOYHquB7a5R7bJhGFBjajyp/MNuUfDUBvlfcr2ieWKN0iJR7hNkFGrNApY+BpV3HfrNGuurK6wuXwKHHpXx6LbncHWtQdLQxa0s/5QWobkVrIbZkC4eF9qxXXMhc9J0dSoWBa3KYOM7UjaLSIV4bd2iMoTjwyOEbgsiYNG0MCBcPDjDg/svqabR0SFu3rwJgmYvWmPw2Gtu4/xqi/PLKyyXSzRNg822R+UFw3CBwXfaflGUNIQYsE5jjFRKYgghaNA9NOanMhUOmloLqocBB41mIjZNhcqm4OWxv1kwqHJorFFZjnhObU8LNE6j+diDWbOuq1jNo20bwKTi5erOW6/XGkMUgZMRhiOgNXgPlAoAACAASURBVAbeWbCzYEcgr/dx1DQ4XjYah08WFRp0HTDEChuBEGUT6tyXgtP3kuI+GQCzQQgGIRV9jlI3AzPIGAQZ2UhhP2HWUr9VDUagDx4UAaI1gIiF95r9R5TEiSukOAzxWpuw9wMMG4hs8NLZA9SNw42jw6yJVVUV6qoC2THzlHkq6prup/QmlWOqZHvKbT5n7o5b3acs8J0+S+fjIuh8vhaXa8lkTp9dK8Vr5c94OgeWEhIpi7O8/1eyvSqAlcDv+VSzJbwvLOwZ+DCSdH6mL0A/m2YF5lOIQPPRx79fCagCRo/ePvRdit7x7HSVjM9XREhMzs+QDCDGDkDTDpCfkfcuzuND7bcY9Jw86XzTw3YHwvz49O9JB762+XhnwZqc30yZrXRNEZnUCiy3Khfn3R2QDwNHSeto38C7zsLad+75wnydxSS0/172beU+wez/fN8zl9vVkL7bBWb7jhv73fXvB5gCq/LZPYr08NlhWihWXWe9CNarFYbNVguZUw0aPIIwtpsNDhrN6rIS0F9dggeVJRhCgNs4IC5elItujxlU+foiwDXtPZ9Z9o3dtBiW7eUL36CNfcX7ARIY3WajKeybLShozThbWzATgnFZcgVGHV7GpJgUr246ANbY3K7GGFScFuD4O7KA5XvJsZPlO0YsY1Mk73AMWubgYWurgqDbNSSCkVTY/dlnn9W6dCc3cXx8HMvZDLh16xaMa9AHxsGiye8DALZ9l1XNNdEi1vUkvRciFRiGCCh4IHiAGY4IFlrkua0NKmewqBysqXHjoMXBwQKLtslSB7m/scBkVXqAK40lUzKTC25eswAT2FY2fPQwlOKkbQQEpd7ZYtHgsKowgGGcA9U1agiq2uL48BCHTQ2AwZ4wkKA2BHbRQI9afNbaSZknBUuj0ecJ8KJ6iUEEy7pCsKo/1vtBvc0xsD8YgyTETFEaoqqqqMnEgAeGQeB5DM5u2zaPhwQ8jUkxbw4ImkWahKiHYcA2soB98BiC/tsbrTbCsd+5V7g+Pmy+edjn123XMc379ivn8x1DeXYM0a4Ew8td9193e1UAq5Wk4PVdsECWCiZlmlFgo08fe2jTiS5I8QMAZPx0gi2OLwELEaF8A2kY73UAmfFc+di4uQTkxOyALqU2p8zcSHfa7N+exoAYSNgHRtPxu9+V97PLEqW2MTv7pr858M5nab/wEIrUuoewgaF8N9Ov8nuQWZ/gsZzQ5H54ZgnNLkW066pNkg35byr3T4CPd/pVCVKv2wx22+thW7pGc81rTX3zOjaqe8hILt3U+8DtK7nP/K7jonEQEWApcZHGQH8loxUYGN1aGenaWITNBfreou97bPoOr3/sLoxThsNv19iux9I4Gw6jZexHlrn8rf/efbdpG4p+tc+gSO95UooKiBpmAhIFZ2lRBsdSWcMAeC2cS6rTDkBrfVZ1G1P2+1wxgJmxWGrNxLk0DACQjVa6QoNUzVGBFlGRkDKyVoCGC5DVbDjWVDfAqvhpZWoYEA6ODrHtNug3W2y7NS5X53jumc/j5PgYTz75JOp2iee//CL6vleXoK1wuVHmY7ls4Zoa3VYz4ba1oHIER4wBHhABi7quDDEq62AlwAQGhwFVSrM3+t2i1Vgnh4DjpsXNG0d4/O5tHCxbtHUDY5HHHPEoKqnPHmVmBACMyl7kd6nq46nwkIsCnQqqRokaZsZqfaVCzMUcqOMa6IlQWcLBokF1tMByucByucRiWWV3dFnP0BqDpm21D2EsqDz46C6DZPkMH4qMUAiuhh7MBF8RQqg0wD2oxMtVB2y6ITJbsaqCBY4PTwBwzgrcdNuYHShYNNq/vPe42ir4b5oGTVXj4OAA3Dh0XYftdo3Bd6raDsGjr7mFg36JxWKhTJVTFz6LarbNDcv5GJqvsfOg74fNfdNxvD+7sNzPzOevYj4gmnoUxgzEhxuX5bn2rX1lPymldB62vSqAVbg2JTpZkqN1Wm41jZlVLFOLsxR2m+oiAUZM9rFS7jjxesUcPW+7+RpfWupa6uAaq9/sC6CNlj9z7BDxnKkEjEgM7xEgslnjMwTsgtDCXSZ7Xnw8VBkrKa430+IiAjDvYJLvd/IE8aMgsbYWgFHmQjc/hFk7Fpyd0dgzkfm7NYVns4wPMgAP+wdJMXholkZ/3SAQ0UUsDxwq7yN9PtVbIZIJaC/PNT35LpiZso7772fyuDuM1S6ATffWyey7Mrj8GlZWWZWHsFkz96cCEGUhN8NU0bw8T54EkZgejVESJ6CwgdQVBt8hDB1ElgBHDbMQMIRRk8Z7D4pF2aUfJvc4AcSFe6C8XwDws759HbiaA6swRA0bGS3gVFIoSSR4z2AxYKMFlhmMIAGWrMZRUWSWCRAIfFJwF955f8nFzQQITRkpQWrecRzm8WsAQFWnWf+JyqRiwVZjhqyKyK7Xa1xcXODy8hKbTYc3vekuDo5uwBh1ZXnv0XUDyDFCGFBbg+VigcqnAOkW9bbXOoeW8jxClBYSjSWDBEVaXnWlDJT1aCtlqWpnUBuDk8Mlbt84wo3DA42vqpyes3ifOndTzAC02T3lyMLQAgBG8VRgZDbNWBIrL4RGZTyWdT1pf/UWEHwvGEjQGoBMi7qu0LY16sahiXF/Ag1a997EkjiEg+Wi6G+cgRUzo/MDXCB4AgYwmICBAcsMiaVpAmuR6oEDBs/YBmAo2qAL2t+GdUC7XKB2VY4P85zithTsleWBvPe5ZE3TNJCK4IVheh1TvR80gaHv0HUqqOqFUYmAJUCCQCJ7tW8b187dn3KMXQdY5kzTQ+fFV7A97PgdIFjeyzXn2Pcc5f0/bHtVAKvs7psjl/z412T2zBiG8t/J5VWCp/QdpceOYAoyZq5NWIg5og3ThiUULIdEwYQ9C9Xo1trNpKI04cPmz/NCDgB7GCWkNP2d9ooLPo96Mrs3Y4pYs/j8xfH5CWfHPlR/RB8ciWItY3mEZyIRZPMkWAbnJzCZnsnstGPBLu4APyhDkt/F9D51//19iDAO7imwSr0vlU+g3KZj8uT1sVKG94OZ4sST/dPdeFxvsZWnm04A0CxEIHWg6T4iWf5hMsFAVGMoXT1NIPHvENIx44+6KxAz2GJGDRmAk0tQy0fprRAQWA2LoGyOsxpomwAqR20oQy66PZSZCDK6rEMI8P2UAdRnGzN1yvsvDQdfjpHCmJowy5Fgm0ycRXfS8lOI19NC1jBGswoNx8xWZa4qp80BCGylTJIxBCqScjQuagZ8kfoWj21Xbqn4ery3fGxSGIjlPohsLByvyvYBgqZtYSqH9WaDe6caV3X74ASPPvZauMpqDFu7AIOi0voaxjqt5QmCYEATKvSNQ107uMqoO9BphrGNcxEza2xXLGmkvQHKUJkobWCBZVvjqF3i9s0j3Dw+wPFBi8ZpViKRwKCCibFWIQIUE99j1osyRpXQMabgm0IEdwhTJfb0m6yBNEmSYCraPGwDQqhiySvA1ZqlaJ0GvycSPQGXdGzjnDI90VD0lYLUPnjYgeAHh84McMbDc4D1Kulgqyg4GgIGwyCv91QFoK1qkPGANaDeYCUbDEOPrutQJQbOEBo0Oo+mmoE0jRESEXgOaEmLgVtrYSqHmlv4oAK0263KNoSZIVVWAJh0xRlI2ffdHGC9EnD1SgDU/Dzlv/ma4/cCwD3f7XumMlFt79p3zfaqAFbGzxe9cdLRBT090HQ/z90YmD5DkzlAjbSAZlpsQIQEozIbhKKxyol43hGYJ2JpRAqHxoWW9oU3gWT33OUxQKzLBmRFd/0u1qXKzzZ3j41Aa3K9sN+lByiVyjO5hRGA2us79yyObXL+uX+zsLjNNe5FIAYRzhYY/U0w9hpGTqbsxHiy4vJAsXCmk8/uefYMBIoL5GzQzgZeyXrs29LxZk8/yM8ou/un73qTn2DnuDkIK//tfAGmZLp/yTzJ/NymZEdm7cPjJJSeOy0mvRnZCoMISqMUgCDFRel9DKIuBUVmAyiyPhKtewFgzIAhyhKACMMQAEOgGBNS2+W0LYqMwT67OstG12cvi1HPGavys3n72glznc4BBFBkaJV58kETLvqgjJZ1QD/0ef4RP7pH5nFck+smVzuNUW+l0C8QM0x5ukD0kdUOPtahSHGaADZXa2Vz/IDLy0sFVZdXYGY88uhjuHnzJi4vL9Ft+yh1UGUXZtMWtTbjfSc1biKVB7CWQMbFLE6DoetRG832YwgsBLW1aOoaRAHLtkZTVzhoG9y8cYCTG0c4XLZYVlVU5yc4k4K0FURRMxbRNhLjpVL1CVamjySB2ZSJzegGnhjXyb1szFjtwSf3LiL4ai1C1OYSCbCOYjFnQlVr6ZiyfE4uDM2uYMQ0Js8QYOOzeOOjJpmFj6BscBW8sKqcE2Kt0nH8ee+zuCoZgwHKbPUpCQAK+K21Y7HlrgOLjPFYMlYI0WVU+55z0U3aA8KMzbqbFMAWQykDS9vlIaEE5efXMfIleNo3/uag5joAVu4zvx81kOShx+wDVmmsPOza6Z1fB+j2ba8KYLW+3JMVuMPGjAxBbkze7F3o0t+JBp5PaKlVMzNUnGMnxqrYtEZVst7VWldyPirnzgQHM3gKKeJmj8uTSFkuUQhSvnwOASJ7nk1SFhPHc8qkvaw8XP9IAiZpq2QoPpNE6afdTlzZPaAr/hliokEJAFOsg4Lhud5QzI4STS8eB2Sx0ExijQqgHYU+Zecb5LieIDKme8dnTi7e8l1PMvcm/04vLp5/xN/xMaaApdzys/Cu+3qfxTNvU18UIZh/VyZIzDfpu3xMLpFUAKqd+ywY0vm975y7uO8MrGhbAHLVLhrbQ2saUnTfsA9RJVtggn7X9z2ENNjXBwUefQgqcEiEvvca6wFg6AMWzTzBYcqg6r/DZPwAQJgleczni33AiohA2w5jNYS42PFY6sJzUMXx5O6MmVPn919E16kydqpFl4BVmWqf+2D8m4fE4sZnKNhTbXMVfGTmicZRZ1Ldz9EoQdB9SYBl0+LW8RFeuPciTk9PEULA0fERHn/8cTCZWMImoG3bXCAYQhODVVgLAmtjlHOcykO4yKCEQV1PLmoIGOfQ1DWWTQtjPZq6Qu0qHCyXODw8xMFiiaaqMgNWu+jqM5rhSCRomgQQouxDCkiPsg4kek8W0U2fF9ohZ2IKmQmA0sxTl5mnxPIY0Vp+Qyy8rhmu6vaECVkjSkQwFNmkltUYyP2kWOzrxKYZg+AYTexHwzBg0w9wzBishWWBCQ7OMWxdYbu6ghHAQgCq0IhoHUkZ+2ACk6W7M/W1XCx48DkoPvDYJs4ZkAQMg8ZabYc+u7hDTDgIIai21R5Drxw/122vlLF62Dnnc6bsmdOuW//zNYCdeaE8Pz3k+crzlCDuKwJYvXj/hdxZOEwZlHGy3mV9bKwbhz0lVIwA1rpJMdv0fZCpho2WT0iZJwSK1cyTPouJMQtk6nxfKeaJUtFllI09RcfB7L6MdL+l4Fg52erfB2r5phYggo3XC5ImDQVmIprCqwxBVcx/PCkRZMhBJIIKMSCyKgZPhGZPbFKeqLxaBPsp22ryvJPnnP8uju2TNUllHbt0/vRZ0mnRiZb9YdE/JLZNBHXZOmOA02CO1qlsJ/1jPlCwR+aBiMAyRMCWAGAa4AQT658KAkIYwOxBRhehCn1+j8ZZtT5FUuTt2N9Zy5SkOnTGVjsxgclCzoB7lmlprYUUchJaZ26ILo0ClNL0fAzBwdDs7ZsiksUsy1pd6e9Qd5N9Qwhg0XfCzPChj98FtG2NR15zR2OzupUu3gCsrcD3JQJf7ZQ62RKY0xjWrEFx53mB0vcSctZUalslYpW9yc8cxinO0bgApZ8cfzMDVgLKC42L8ToiAtDoYmLROKqUufilL30Jz1+t8NxzzyEwMjhUcBKNL/FgH+BcrAEnynwM0ud3myVHBNmI0s9oZBElGYLIcV9pUxaHUVmD1z5yC4vX11jfv0T/YIWTw0N81a27eM3tJbablzDIFlvu4LeCITB6Y+EOjnAVGJUBAhmwSVmHAwIR1v2ArR9grIprqstO0DY1aiLAB5AlLOsKB4sFqqrC0tYwwmibCreWLe4cHeBo0cARsLAWlTFwURahJKuXBFjnoiGr79fImE3JFN01ZWKHIRzXalAjylGUbIrqrWm8lYjNY0iBEiEEkxmczJZFts5GRfeaLYTG7FcA2RUuYhCMgfeEVd+jMgRBlTMGvQhqsiDLEGcRvNOCz7ZGEGDrB3Rbj4oYW99jNXSQ3kfPi4WwiW67QQF4jLGqageQ5Fg/YwzIGRAzumEL7rejO1R03DhXY7Xd4mq9xaYfYo1BhoWq8GvMmt0DJnQu3A+MxmSz0nBJmYplcfl5IkfJDk2M4DQnmunnOibjWhWUNJHI/qoNrGuEifeLaLBoMta4OqlUiLrQy1ASYwhIumdQ97qwnxEFu9urAlg9OD0vFprxc238YrGbs1hBM8Tygph0n4CJeq81VT6fJQLPivWWwMoPDGMsKreIk7rL5yKrsVDWGmgAOYHAsGzjoFKKfLSsI9Dx18fbGLMLVHJni3IFOSOICDYt8NbkYFXtCFqOSwQa/Mm6CKBwLWpoCGsarZiYjChRLwXw2I23SXEpEtN69VRT8OFnBalRAJR9jE1mEyxNOnFmHBKoKkBIKkmTMoMS+AIAyvEcI1MTUsZhCt+jURtlPmjLmITJs+vJ8/W1f40uEuk5ZzH5sFVgRYLAPSoZxoBoq+4ThkCoKEwqSeNnBIZJbmHebinbaG55Ja2fMqDeR/DjY1adiGTNqdz2sW9e9NNJs7QiS4YlXSstOFu5zJZwep70vEEY3vcZGB/fOMwT4sX6HMO2i+dzGQT5fkzIIDGZYXROS7MsD45GIGSRx0Y5MQcIOIiWXEmf+fFdp4K9xpjIcIwFX7NRENsg8Fgs2UCBXGqDIWYoemEI6QIVQsDp+Rk++8zn8dxzz2EIHt3gYY3G7ORgZFY3Zu2iGGZkU/qYGc3MEEZ2o46crMnGQtk3kpZQSqHXPVVt/Hi5xKO3T7BaqY7Y4eEhnnzySbzpTW/E0dERzs4vQWQx9AGb7QpB1GAzzNhuVY07za3qlqLMvJGMcgXWWmU2rEUtArGMioBlu8Dhcom6dqjFg1hwsGxxeHiIttUsQGen70HPRzvj1BiTZ50kgJz0rqy1AI1to3N6AlEmaj+NwIuBnK2ZhzkV2ofJeCiMGYpApdQ941j6R0IcW9lwARDDVpbLZTYMU9xXGke1Ua+GVAIbBCHGLrJJDJoy/mXbsFeZhGRYhpk7swQxIpINfomJF144sn8CgoVYoO97TWg4OZ5qSMW5v3JjW+W5q3CzXreV728fACszNfdt5TFlLNx1+/zrbnvn+z37UNG3Xun1XhXAqm0PxgXRlw9botdRnTzFMfmijuDcEg2D6oiQmSa+M6n/PlvyRKCqinWmDIzxIBjAWdWhcQ621uKc5A5i6YcmLrCjnH8aVal6SBnA7TF29rT/vMPtY6wksWL5VKPbzDmXS1ekRbNKiyf3mikVM7ggIXfeIKoLQ8bq5GL1twYSj92BZQqCVNV43CaDimdlZoqt7JDls4oI2uJ5ijc07hM1W8pjLRWLOKe4AM6gOV+DC0s/sAYbz9iq8Rl26eF0ngE+WjjxDZgRiGjgu0AwwIYGLDEtuiP0XdAMoQicGJGNiMxSAgUlsBLhrB2T7jPdzzAwRJIisYLcBLQFDrUouzQED2UznC6UPoBj6nSeFJOVTyZWVSrcaiXQhSj4ToG5xkAqAw4Bjb2VGR0kpmgYEGImEjkPkDIpnTfw0qCuagAbmMrmWJeDuoUELQYbvFYhsDGXzJqx5t2yaTXuJmkPGQFHt1laDNI733S9LoxeIMtx0UwxRGp9jgKHZTungst9dOFxBBnsARgD52qg7xGEgeBhqwZN08ALozk/xxAYq02P9XqN1Waj7sAwZkYCgCHBoq6xXC7Rti2cNcCgqtfZdBzJUZhk8JjdRYBSDUzr4vyiAeS1M7h58xiLRYOLizPceeQW3vbmN+MNT74ObVMhMOPscoXzixUuVitsOs1kW3c9AgPd0CN4ZcXbhZZyOTs7w4unp/B9HwsWV/D9gJ47WFvhcNHCeIZ1FkftEjdvHOH48Ejr/Q0b+KHD7Zu3cHJ8iMbaaCxV0XDVgsqVM6MhSwLLgIsMR1nJIr1TGH2PyRWdArCbuF5QLJdTeig8czak51tmX3kE7oAWai77CTOD7QARh5D6SgkEIAjBgDvObl1T6WeuMqrF5Xv1fBDALOoiZAG6Hsu2BW87dCHAuRptS2ABztdrrNcrLJdLEBl0nbrybF3BmUrdWqKxvoFVL0tZPoDJxDHbR7AKGAtst4zVaoX1eq0SDBxgqhpkCOxDdpdOWL89gGluTGfbfAaQAEzGXhbg3ePmS3NxZv8LA7IERiXwnp8jzbflfaRr7nueOVNWPtdXFLAiMcpyyCTvDTEsNuYemRwInYunJjCEXQuHEPSIwlIBojVKIbu/jNFK6JSyo5zTBSwGDYrVHzgLVy1grUVdLzBm9cwzktLvQoEWsWZV4VLZl22QtpGxqrLlmrJi8jk1uhMSp90y0JWoi5YUZ/dDCmIMIQBGGTrnapiitpSnenIfJSDKBU4xBSZ6w7sB6vNn2gewGtk9rmyDeYfWyvVRByYMOfYE0EBXtdgLtzAnBoBAtpmcv6wzWQY9j/cY8jvgABibBvEoKmgpQOGHhQmDhutKQBAPyx4BuoDrhB8QQGCRPBEn4JvAr96XGwd3TrJAtIAlCkxyZla05IwaAUkTLYlMCmsmHotmNoYYE6jZ5TGxw06fewRusewKqSaSIc18E9LirAYWQjEWiFgpdlKqPoiGLqubmdF7Qec9mDTwm8hEgGpQuRaBAlgMhj4ooxoZVLIEIQchFd00ZGDJwtroPhaK4C9OglAgbWC1EC6CZjZFIGYsYoAwYu3JBGi1DYwg177j/P51zAxxcVFGLrJjIprwYB0cAVXdAGQhopnOfee1/TllU47Wb28DmqAaTcZW2f01ifGcjYk89ouuSybEhSOVgRLUlUXtCCfHN3ROtcDJyQ2cnBzDOQ1OHzxjvd5itbpCtx0wBMb56gr37p/CB0bVNjDO4qO/96V3ff6F03el6x037pOPLuiDRsbSOc9ddu++GtZfC5wDAO4etB/+tjfc+PDBYomDpboCh6strGnQLmrVq4IKSZiUNUmE/+B/+wc/cLHpDo8Xzernf/wHfya53tIzC3SNkILJNsmgBUFoDF1wyX1ozc585YwBM/D3/8VvP/H3fv1DX//lB+cnV13fsog5WjTrt7327pf/8+96z+/+4Tc9eabzgEoOfPnBRfPf/fwvv/O3n/7CGy632+Wyrrdf98Sjz/657/7233nL3dtX6X1pFrgy6q5KmdaqUW9MiM8MOMRQDFG2CqwB+VXhpZEwMjXJLV7OVXn+CAHGzt2aGmsXQlDRWoxztwbfB5ARLJoDEFEu6LzZbGEEqJsowB32VxxJ7GV5P9etASWICWFWOq3YRGTiQUjPMV9f9x4781TmNoQC3RSyTqTJUcm1zFqLaRxw5bEyfi7xZ7LvNdurAlj1/RhfkBgr3cpA8mIRjguyr/YHDxtM/bQJsY/xNsO4OFqLqhJYGxmdoLWvnNPUcCILawOMcRhCpJGZrgVW+u8x9gpAXNgMAo9UNRc1uErkrZO5AkphmwdlzhRKRUzJAhw7YPwuxdCojo5KDYIEJBZCQRcJAYxYcLwfGKOp4GwwoOxQo+tPZJpvRTT+ABq8nqjjfVvJgAgk+7nraIkzj4NuBF407dygmKmiqtLCNks5aHsqw6cnTAkL2u4iggpTd59E5WZ9nmKyQtDnjecIcBMwaCRWfiMNWCaj8SzM8ekkYBgCQnTdbYdeNWWizozGWYwuvTQxpsWyNATKySyzW0U7pcltGAZ0ZLJ2TbL8spJyEfCaQFdaeOwMWCUGqKTeS0Mg7eNMnYN/x+M4g16dIAmBA4yp9F0xwcLGUAeDFCTtPcN32j7KZMWM3gy8rYpyIkXcjckSUgBVL1E4cdvlexmGIZdYsWSAknnwYeJKLJ8vl5gBEIYeYRggoouPrRwsWbAZa4Aq6xBjYMgCxkHIQERhsMZCKoMO9tEV72Bcjbpq4eLcZGl87+O4CQWYmlr11ujCLewhoq7pygqcMWgqi8oa3Dha4OT4BppYIohIcLne4Gq9wepqg8v1Bv0Q8NLZOV548R68AMvDAzSLAwx+Osdedv4ttyx+iwM8ESGIuPXAbyn3IcSyNlZdrggM9gPapkFtnUopiMARwZGBjfdUzh+ZYXB2CqpiX82LIjNM0GxtI8iJJwlcTA1OmjAeH3nmC3c//dzzT5T3fna1Ofytz/7BWz76ub/z+p/9iR/52a95/O5KRPDSxar+/v/5b37fixerk9wW2275L3//82/74b/x/Ot++s98/y+89bE7KxFRAyM+i3NxvsjjK813SU8wLdcSF2vOP/mYwFHHi+BsDcQwg4n733sYW4FIGWhjRtCQ3MSGUjtYEMU5KwCI/brre6w2azRXNZgDDqTREkh74pq07TPUyFsJrvYxPOnvfeBqx2AvPp9n5s3Jkn0ERfpu3/3N59nrjpnfz1cUY+V9jyS1nyfqiTLuKOJZNr73hdtIaKLvAhRgjKfBcKEoCaMMVJ1rSaXrWstwtoqxOoQQBNZ0cLaGi4MCIHAU6xwtzUILJMXLzFyB4/1RBnRlp8mTSspKkjE7ML1Yvd2keZNCuHUzFGN7hHNwZWJ2ggeYBGQZHEyspaixXt0eiyMzVjP9gEmHK+KX5ltpqZS/Aa0VOP8uXw+7AxkAPKXaayOjYGaWUYptSx8TyiSIdJ/l3zK2ZTx3AjKMMXCZSJmS7K4MAWQCRHxM/9fffd/Ddx26rsO622IYBvQ+ikrK6GIarc3RTeRcgsyW9QAAIABJREFUvQOcSiuzbK85S1sqQosIOj+M4IdKgDsuPMZOqW8RwTAMO8Cq/J6IIMNVMcEWYI8FqWixtSqo2DgLYgKY4YchgqYEcDkW2O0xdB0MhbGoLTkwOQgFUGVHg0Vi6RJmZQAje6nPz/B9jyG6c8TGTCoIxLs8DgCNkszvoAD3zFp2JLexxJgnzayB7wc4p2xZikMaguDs9BybvosxXmoAhshYJQMFUOPIs+S5RQzBmTFeqWS7KTImub/mz/XP5NIiMgAx1KRirSvIGiR/584d3Lx1A03TIPCA7WaD05ceqBvwao3TB+dYrbdYbTboA2PwjM35BdquR9enqhhIfac+6+nNt2v+jKkcLga8RYB6us849/T9FhANDm6aGs7ZeI+kxlmOMaUdFiD1JyFkUKVMbjKwJQOtpGOXJCHyu5yNlXIOeMfrn7j31scf/X/e83Vve+F1d25ufuuzf3DrJ376Z//46erqqPO++rnf+ugb/sK/992fEBH8t//X+9+ZQNX3fOPbP/bnv/c9H/3pX/vQm3/6n//2uy+33fIv/cI/+9a/+2f/1K/qs2iHkQiOONWmRey3qexOrO3oU/+MfcRICrYe+2eKmXLGwkfB0NEQII0Ntn7yjMaYmAChLkOKDLSrbJZcCGHQsRcW2TDbbrfKlIUBTeVgUE3mnZcDF/sA0JxxmoOucq4rPyvPVR5fbin+bN/6Wu4zj+Uq59l92z6gdx34m2+vCmAVggezZJl+bYARoXJIE970BQQX1BKWwgcbz5mYrTQAywYRjOew1kI8FwUlNZE3GICtAMGAmMAVo6o8xBp4p3Ek49UkxqqkOJn0AtJLixbLjGATCFD4fkuLWUQACkUpC0Gpvs4cGap0/uI9K3sTIqCCslaJzgoGbKB/mwhCTARbhUUHTIEOD1Pl68lAoWh97LEOysEzH5BbTAMgTWSmRGJqQDodj9yrBl0DIg4sHiIGXqZMTn6PpMkGzhiUhjfRfKBzBrFpjg4sCCwTXbHEtuVnEZ3tFeAlulrlLILv4QdVF/d9j77vYz0wrxlArGnzKZ5DIlCs62YHWJVZrfMtT1TAJPA2KUBrIHk0Vmg8Jumm1SnmqJjUfARW85iHsp9WqPLYMul+xURhxUXMSNT+tahqLCrV1hmgOj82Fpg9aFpYVkXuYbMFWWjsWlxcrNGYpFRgWG9AlMESLS/jwwgg/RDgfR+lSmQchyxaiDZlDLHEYtEh7wsk1mkqLmnIwgogYkBBUDcNqqpGBTVUJAChHzQoP2Y1V1UVY7ocBgpToAoDgxFI1baGNVojr86JCNlM0vvF6PaODwAAsEbLqVQ2MuVgcOhBMsCHAZYMDo8OcHh4iLqusbm6xL1793B6tsLl5RU22x7nl1c4u7iAh5bj8eiwXq3RDwF9oXhvjVkF5sMrxttf2zSfaRYtPn91/jUA4AxdepajdMcGBOKA337mS2/6vRde+uqrfjgZQmhEYA6a+uoNj9z84g9+2zf8zutun2xEAkj2L0XMHn9w/+zgf/3Ah77xk1+697qLTXdQO+tff+fkhR969zt/93ve8bbnQSrnMrKrYyxPChyfJCnEFv2h93zbF0om9ju/4Wvuf8tb3/C5X/zIv/p6AKgrx9ZaBGb8808//VYAqKz1/+MPfO9v19bwf/Un/9gn//FHPvmHTlfr448/+/xXPX92Xj9ydNgroEuGU4jjbupCs07gOLLhZPXdEsBGRqMnjoMxeziWtQoMHxgUPRup30py+cc5xTmHOirGD8MACT5n5VWNg8Qs3uQxSh6dEAK2YQsDRjg+Ast0fhj78e48NG6ztXg2j1wHzl6OeXo5QHPdOctA+XKdLd2M1x07//0VA6zISBGInBiDkQVJbBYzFxIIBoFHOtHHivKU1GXJaukIljH9MgErMXHhJlBdw+tKCkNJciFohe84IVMgWEdA0Np3RhSYkFWGK2UOxRtQ7RFBsVhHHznGrJO85Rj6aLEJYkwZQchnt2bytacDAntYV0dROs0OSZO3s1YzPkiyHABFmlk1WaIPXqc/FTAVgKAZLrnTiGR3coaQ2eweH8G6mKLKJYMYmbWCcUkuwPTj8/ni5FAArPJzYLTQXQzSVcYqWfdW48go3lhyCUpKXiAYU7hWJKAcu9o+44QcwhhIyX7qUuYC9NQu8gMSNDYKA9gLLGscFKAukH67Qd936INHN4wyBVp7bmR6fOgR+iEHaDNHZrUaLcaRsUxu1LSPzWrPKZstFKDd85hVqMHlMbYjUJ5s0+ST5QRm9SGBGANEAPtunKxiey0WCzincYFHh23OpFu2DSpjsWxqdI0+S11XcfHQtG6IwBqgslrbDfFzaxRUgDSezESRxhB6eD9gCB6+YOZ8ULkLJmUzXRRvJCY4saMgrQGCD5qBFzDGkURw70oXvQCVdaisxq+1rgbIQrzHUbvUem2bLYhjW4LQe0HlHEKUjThYHqDrVB/JxIB8C93XOYcaGl6gfTgGCxuJma6jZpFIDGtIEi6iMWd1U4HgwX7Q0AM2MKJtePvkJgDgwYMHWF2c4fT0FBeXAy5Wa81crCo07RJ+0+FyfaX37Bx8AUQB4Kitf+9svf3GgeVOb6pHRCx1PtwBwCdt89T99fZdQPIUMNabFZ49PX/tS1ebx8s+dLntjj7+7PNf8z/8k1977H/5gfe+b3HQsnXThUpZdIN/9ey9Gz/2M+//vnU/tOm77eDrz3z5/ut+8n2/8sS9q80HfuQ93/z03DhNlQgo3s/EOCgWxrSwdt6bX//4U7d/66nPvQEAjhbt+of+6Lc+bYzBJz7/3NG661sAeOT48GLZ1JyMqcdv3nhwulofs4j5zd9/9s573/GWLyUmPRnuIYKs9FkCeDx0sK5C6wwGK+i9VhgQBLgqGVOqBxf6qHvVLkaQDs16dM7BM7C6XOe5ylqLQAE9KxhrmgaRPMS27xAkoKp13HdhDAxfLpe4dfNEg9b7LU5PT9HWB3nsp2SSND+VACPNI6ldhUfNtjLuq9SWLFnxdNw8pqpklUqDx7kxHjWF1JRzZPnOy8zm8u95zFr6Pb/uvnM+bHtVACsg0bYegQeEaMnri5C8CDGP2X/GmEk6fvBeQQ6mteS0A1oYFHSwjPILRgzEKkViDEedJ0KQQcETD7DoQEyoW3VTCGtdMBWPJJCIWr7posQZEug1x+zB+QvZRzWmjUOvYCPG76iCe0DS9+JAgHhIBJ+IA1rYxeDQmLkGLSNjxMIHH62jTF+k2POsD5PvpWzDh3Qo8tP9db/0EBFslfsDMEToS7HB4twaSjUFVllPi00MWKUclKgXMAg8RFCVmLB0TgJzwbjRFDCoTIK6bBLjk4C946oAbIkp0bZlQFkzaGYfSGMaUiZNiD+D7+GHHkOvrpUqlrLI1euT9eQDPA8ThsoYMymqnSadJHyZJsSBbabyE0NVFsdONcVEYlZgVAS3IWrxBEQ3Z2wiIojffdd5nxCQArQ4TnYORn9qg7qqgJgBdXxwiGVTo7YOLrLFrVPw70AIBFSGUBmLypK6EFklTC3UkBlr+Qk8A70f0A89QhgiYEGOsfKZ1RwDzIUA8TJ5xhBjrDj+Lsdi1ZZKraUWmIE1Cv6ICH1g1MZiWS2wcFr02JKqaDvnQF4p0MTAhcAYxMNF8AHW9x4i6+tsoW4OAhmGiQKYmMwfcQGN2lzOKDtLlYAqgFgLHh8tNeO67wf4vsPQa6HfPmjcH4xBVdeoWdCzwIaAbbdRwMpj/KO2A28P6+qZVT+8+YXV+u1EGwKA46b+nLOUVZ41lI1QWYe3P3bns9/61td/5s13b1y89vat/nLTN3/3gx/5I5/84otvO1tvTz7w6Wee/He+6av/YC6EnBbIv/z+D7573Q9t42z/k//2d/zye97+xhc+f//s8Mf//vu/697l1cn//oHffPcPfvs7P9dWjksGwrjCm1DE6ooIrHP5MxHBk//xf/lnymu/5sbR2f/xn/7gLz35yK2tiOC507NF+m5RV2MKNDGWzfj3vcurBSZb7FOYg4TxXrQU1LhoG6OlerJulrUwdlBgTYwwdCMzRxZk1bAWUbd0VdUZwIRgcn+qLGX2DrH2ozEGVJmsV0ekulZ1XcPUhFBZDEOH1Wo1ATLGGBXyBbJLspSiyGy7Hde9OVv1SpmnEuzM157yfc/PNwdZ+zLyy/str5X2m382B1cP214VwIqMA0iz1wbP8GGc6JRFEo3iL4LoEsMgQiBDWC70RWdXSK/BphI7EwNqrRIBIZ0j0exR8JMp169LjAOBMZgAQwEmbGEGoPc1rA2wkb72AmjkAPKizUC2Mt0o164xLYV2FUvIGiNpS0yAxwZWIl8kaqbqQGUt6MoDknhbEsIz0cpRcMIxLDJogDWgGTUG2XriGOau9+LzJFBuCUiUf0+2UO107uzFK1iT/B3pFU1dY8y+A1AUpzUpiJNFJxRJxykHB7AG5EeXUHLhJOmJFMmfsvisKyQFMB14FDO5AI2DUNdC/M4UaueiQFXfRQEeReNbRDQ20Bini5xxIONgTa3v3QKgAf0QGaUiHsrG9+6DunIpuZNZMPhhx5oqGSbnCPAECpqEoLUwBcYUk4ooOBWoW5jjY7DXvgMzTo5JlqCtp+NtNHAYDmPwLKCT7p1bt9UFZknjecKAylm0bY1FcwgiwaI9yBa0jl0LitlRGi+kKkwwhIEZGII+3wCoUaEW/abbqKszBGw2o/irRNHH3OeiT9kwIYiZ9GOyNaLvLjNhOabN2WyBsx+taLV4CVXVAFFeol40MLBoqxqNVdAI59A4gjRRKNQY1KZBR6okX1uDhbVY1hWWdYW2cVomBqmtk4YSYsFjZZYl9rX0TnwfYCxQVw61q1G5GrU1qCxwcnSImyfHYM+4Wl0pY+mBqlqg4w3uPTgDSywc7IHtoAHMuphXOHAO3dUW26g7Zsli4cKnVj3efNkNb0rteOjwycGHm+nvqqpwdHyAg6YG2mb9/z71hXf904995rFN75csBUoF8OWzixu6QPqJ9RVCwOVma3//xZceB4DOh/qnfuED3/tTv/CByVyy7ob21z/zuTt//Ovf+iIMZWYTGHWuJpnCBWsyj+lJ24vnlyc//Ff+9nt/5sd++B+/9bFHrkJh2IiIuprTfFPM2+WcItDQlcABIQJ+La80JqJQAnxMWq4HgsoYeOewWDS4AXV6GKdC0AMPuNpuEKJx7RxU1xAWIoTtdkDflyKcoqV1rMXhokXlmshkR5kUCALrnLbZbHB2cY7ziwucnGipIecMlssWDm4yDwBA348aZ8pgqSs69dsM/GZkginezTzmad6WpcuuFCku983sOo9CwSOYKuZMM4ZMEOn6x8JTi7/cZgxo+i8Z7F8RrkDrGlgm2ABYJxD46DaPN88Z8+djKDItCUE37cFE4E0nXUEYfBZUywi1FKWrqlhM1YBIETkEIOf0p3KgqtLfFjCOEE1p9fQZXfzg9B4laawAGWRJtDYRwVxiZ/Ra8acouZJMGhICyMb9ERd2bQVLDgwFlSgkAMQQjDiN2THIbJfEmAfr7FjKhXRo59gbLnS5UCB0zDrSDmsVodmeDqeuRTP9LIEnA+R5VhiIcgXRltT/kyJ5ZI2s00WHmEHMgAwaZ2C5sNQYHgyIpuhrlmW+VWSf6+RHQZiNFl5ir5LkgMZXqRuM4uKnOlYRlFGsx+UCDFcwvtU+7QKoYhhWZWAxvS7OJoDJg5jhIKOl6mbxgJIqEhRxOiAQHFJMBNkKzjiQVrKDN6PWF0NAVmCIEcwYN5XYHxtd586NQrhVVU3uobTsEhtGwgWwAuq6xmJ5pMHJxqBpWyB4zZo0Y6p4tYg1/1ylte9cBQyCQEZVvplgSWCMxRBI4wBZELrRfc4S0PUS3X6CwEmGJdH6Yx80ttIYFqogts7ab2mzFICYEKHSFXGcNg7GWLW6TQAisHJpYXAOCIK6tXBVleUYrOj7tHHsUWIVrEEIAnIWFdXq8jSAg6A2WkBYguSsRWMqSNSfM5F51nlBF+c04Ij0Wsu2QWUNagc4q0xF6jveewgDzlYwpgLB4OiGR9XUuNps0Q09hmhs1nWNEBh13aKua5x2HkCXm/XAuecN+gcM3NT2w4Nby+b5e5shA6vEtGx9qP/eb3zs+zofZkzOuA0cnOQA/Sk78OL5qhHZY+nNtnuXq3ZgTdkmq8kNTtJcZnYWQh0DY3jIF//G//TXLzcb86Gnnj75S+97/7t///l7j52uro7+8i/86jv+6o98/2+85vhwk45dd32dxwCAdT/kwP07h4uNzus00Y1LADku8/m6zlSjnqLo/JPuyxkD56yKqwaHarCoegvapEB3D+8BgY3izTpvBK/3ZWItT2Etk5SyYwGoYHYiAAJAxLjabPDgwQM8ePAAj969g4NFA+89FgeLPPau86yUzFF6XtWV2jXGJ3IiM9CV9nul7rYSRCXPxHXMVpkFOHf1vdLrvNx+5faqAFZ+0J/gCRwMONjMYkwoYil85YDGRkHdeT3rpEfGAuRgRGOMggxZ3JFBUQtHRgAT2RNJ+j+kbjUpF+SokMsGujghFo6NNC9HlkhvNRZRLcq02Lh2mySZD2QEPHh1UXHB1uRnTJl/kXkjSCwCDdUQgoEYnVy5YPNCXDQ1ODFlGArYcAaDeqdF0xJgCoV6YD81Ov8cUI5B23NkwvK+kAngKjtptlAozZ4c5Qug7BVYwQKpNUREYK/shDDDx9pXqa2rugazwASGjROKIYIxgqlMLAAqfO1xkdL6fsoOkghIAnrxyj7FWcqkfojI/kFyGzNU40gMKRviBHADYD2YAtholqHGcCmDAhBYA0oiszaTCmEGe4/AgI8TNCHGHXLUAIKBCSNItTDKvLLEdlIAwqz3V1qGbFM8n1HBo/QTLX8qfwNFeZeA7OIWwMS4I5DTjDeWGF9ECAJ0XmBFQCbWfjM1WDw8GzBZkKmw7lYAYk1Bo0yrc14V0ydMY0Af+iJjKk7SpEkvpizWblXqQABULCpnEPtzqiOHaOyU84GHHheAaAGkvj9mW+kSBwysyuoqX8Rw1qCtKwxBhSitUdZgGAA2BGYDR8l9JxAOYNZSU0RJa4vUsWrSohnnBhkXUQJBLMfyOFbdPnGsGBFwGDSovoitUxJTGcZ60aILHt2gwrbOOVi3RAiMxeJA/35wMY5lFoTAaIBPbYB3A8BhZT9FzsKYolAvtI0+/eV7r02g6vGbR8/96He9+wOP3zra/MwHP/a1//SjT71b940G7h78dPuo7dL6d+tgcf6P/ot//x84M6qQp4LdINIEKIwGalXFvonR9ZYZl4J9BRRoVUT8rW95/emf+tZ3fuK///lffgwAnjs9u+G9x1e/9pHLZV1t1/3QvrS6Or7admZRVywi+PKDi5sAYIj4m9/4uvspgz311cR057YpWJ+k+ypkQFFSQ5nJCAYoxT8SqkoZ0ZUjsNgM2jSWKTYSLIDo3o4lHEgYhihm+mrfsjZqNEZ2qaoMum6Dy8tLPHjwAJeXlzg6WGQCIAjHmq4YbZbU/+K8x7PaqFRk1Zafz4U559t1TNC+z9NnqU15dr5dML3/uH0uvuvucZ7Qc932qgBWfQgYmOGZwLD6oibPkwKgC+YBUKFP0YV403m4MMZgpaWUDOCqKSoV8nnhEBOVyxEX92hZEDNgGGCG5QAKAvadqoEPVj+LcRbCEXUBOe6LI8gC1E0IjJZcYlZEV0m9p1lpGxFBGPo4iY9ptTqh2rg4VSAmiLFa3icBuejGMmBdAPWBIlHjgQBkKJP7h4mMGqFs5Gxp5PpPewZDpFT3dbbrMssAwARfMD+RPhYNCuWgyt0pRZgMtJ5Y7LEsDMvRNRIDOBeLRaEYHwcbIcfYpeurXlrKoBN03YDgx6SJbHVyBKKUnKUmglZGjGiJ71jjJAJzDJoG4BplqWpGFYAACzEVuqDZeiosqW2jcUXR9URjQGaiy/u+n9Quy2xr7Ot1XWcLvdy2Q1+oscskoD0d27ji2tG92DTNpK/uF7MtmR+D2josj2/ARj2tqnagqPCsRQwaNWBsHbOS1JXmA2Abi/bwBm4EGzNqY3KKFxin2XV2IkQY0IBzIsGsN4LsqLBOZnSdtlU9qVWWGG7w2B65bx7UOc5FM9wkJ2ekwOrkivQcYJzFI3dfgyfOH+BgsYQQNHOLCMMQVMxXJIrC+uyiWTQtmraCmDFGLl0zve8qBjKbghHIRlTo0LbKLhkKMMyx7hky8xgGrxIQXqU0Li4ucLpewVUV2rbFdhhgxWvigXFwrkJTtbuLivcYmNECTw3A44aAm4v6s2luzm+ACK62qJzLq5k1JhwsKv/p5+7d/OBTX/i6Ymd93hQukdrfEo4WbXjjIzefe/rFB0+cXm1u/NTP/9of+bP/1jd/7MaiDU89/9LRv/jsFx7/0NNf/Kqf+/H/8P9mCN7/4U899hf+4a9+LwB8y5uffOpv/Sc/8GsQznNLBjWRNfmP/spPf8d73/l1T7/rDU+e3r1xtP3EF754/A9/8yP53u6eHF8QaUWHb3/bG576lU889fVDYPcX3/crf/jPvfff+N2//esffsvp1eYYAP7QE3c//5pjzQiMnTQu9rtz5ngvo5GtpMEYApDAtHUmM8p145RRHNIcVZwPI6uc9NsMx0ogZOI8H5AqRwDJvcaoax333nucnZ3h+eefx8Giwc0bJxiGAVVVT+abMrwjzVH7Qj6csZN70mZ5eeanZK3K9krf7W/LxObuHlMyaQ87T7lvecz83l7JM7wqgNUjd+5iGMIk+DYBTEXiaWKfijx2lDSB9CWWk6Yi/zHFMqN7EViKAXc2onfY4kVqELM1DZyr4WyFpmlQ1y3gKtR1jWaxhInuNzE6Odu44iepBSkDpCN6yeU4ipeWynGk5ypfmrFNBBtxf47KwmIgpJa5RFcgkAwjoxSzJBaJYfK/i9iufNVSRK/dAUflALq2M8kw6ZjlcfNnKgeCDRXIxNRskhhjIgAxgh91V6wjVHGhB18U59TF1jqCq2u0bZtjhXLhVdFJxUXAktzEwxDQd6rhcuOGg/eMvkt9b7x3jkKaKYA5pTTrokuRUlcAy8GDRQOqg6h0yNF2i23fofN6rZPNKk9EqT0sGbg4gRKPAzst/AlYlZNaCXacc2hodN8lun1bHoeiVAcku/1qO30nxphYrmR0C09ij9J7tuPUIayByseHh/keK2vQ9RsVgHSCtlbXwoZXaJoGi8UCXddhO3hYW+HohsZnMaAuXGPQDR6GVKbB9AEah5lWk6Qlp1vIi5PGP+k8YOFlk/tvFet+znVvtNjzVNJicLGPgmANJQ2OMcvJAMMwYBN1yoZhwHK5xJ27r8H5+TlczAhkQQ5FcM5psWQZz5HuZbXW0iSXq4scTJ+AWx43s0WaiDD4K9RNhUVbgThAOKiLkYC2bWOihAYZdyFgs7rC6ekZzrur/K6bvgcHwFYOztaoqhqWrDJdhaUffADXQFNhOHD2V+q6RlWlNh3nMcTA/a998rHnf+2Tn9t2PrRfeOn8yf/sb/6TPw0AJ8v2vJw+bNTgKrf0Ln70T3zLb/z5//NXv287+OYDn3rmHR/41DPvKPc7OVisNAscOZtUO2Uy6sY+Ow2uBj74maff9sHPPP027NkO23rzo9/zHR9L4+Av/rt/4iMf/fyXnnzxYnXySx9/6h2/9PGn3lHsu/6v/+Qf/ZcTMBCvm1z42UjL9zcy0/N3qj+jRIQCKzUeq8riqttGUDUCtLT2jRp0sUmtkguwienT/h84ad4FMFMG4avVCi+++CJu37yBmyfHCEGilMd0jijn89IDURpgu6660bBNc1QJdsq2mIOrsk+UhsUEWM2Yp4mhZMzknsr7Td/Nr1/+Lp9rH4icb68KYPXmb/rmyQ3PdatyVodMUWiHgqbOhoKmI6eshUSTlg3Bs5ifdL6UxTFfSPKCU2sYwb6FZnqe6VYVhWD37TNnqsb73E13T1vpq979zu0g/leyeUcFgzXdBEXnykAsdb6lXqOgGbP+VqzV4ZNchC2y2cQAMabKksAZgtO4ZYTOoCJW10Zm/iSziKpeLbmYsHMeqHXR0kYYLVPLDFAFEoHxQNUA8AAvNdAZtoHYCn1grPsOgQxMU0EIGPzoeihTdfe9+9xWImi8yfEtSf4AMbajlFlI7ye5ODZNv3Ou0uLbtxERjkyd/536d3aBM6v6d7LaoiuIiCDVrj5Z6lv7ilPn56ZmcowYzeYr+7iR5GbRhb3ve5D0aJoGVaXFie/dvw/nHB5765tzweUsqsmaqp4m/bFNRt2pJJWRrolC/JeIIEXcYCq8m/Yv1Z9LUU4A8EnOwAiEexWDlQDDARI8KATI4OHXa3A/YOi2eN2jJ1hvx2LKORYnXjPNbzlrM4xCtP1WgdVLD05xtekUjHcq0ZEn8mhgmWKuI1ZmSd07xefCaJYN6sqhcgYdenTrLVbDJS76l0B9g+NmgYvVJdzAqJjhgrJlVix632Gz6eDLwG2rIRNkgKqpUbkKNi7YKTgYUCO3rRss26b/ge945y/+4oc/820vXVzdqZ3tv+mNT3z6NceHq/d96BPfoXsbgBoFV8Vm4rj7htffPfvrP/K97/tr/+zD3/ip5+49cbHZHjpr/Y1Fc/WWRx954Tu/4WuesbZGYMbpqsuSDF/9xKP3JAGtaJQLUWTI9PPv/Pq3f+Izzz3/6Eur1dGmH2pnDd8+PLz4hje87os/9t4/9vE33r29Tv3t0Ts3+5/7iT/9j/6b9/3Su37n6Wdff7nplsum2n7t6+4++5Pf/W/+ztsefeQq1QNlZgwSECRoUgoZBKuMdoqHYrCKCxMAZohRFpw4QKgHxKuh1g+A93CwaEwN8gZV06LvPBLjlRhwQwKbDQZl2sg4ABZwNYztIWAE1mLOFB0mfstYLBoQA33POD9b48X757gJ7XXiAAAgAElEQVR5e4u7j95BLZXqS5Kgrh0IhMAqr+K9B4EhnOYJgQI+wKOHkTjPRI/MwCoQHBAU8VmTPQKjLmMKGC/WHBTVEGgMpSGX1qQACiPpqXPmKJiayknpT1x/UkhM3q+c0xPDNQXkasyP7uXrNno55PX/y3Z19deQF49x4c3+6ozup8HVwawnp9FnGdmh9JlaeoW/VaYT8fwc80Uz/23ayfWnk/3ucfmeQrngpJMWv695BVy4P+abcbuun/H55lTq+F3Yo02UNut2wVoJtIgQayzq3yMVrf/Wdo73N3qMAIpYKO0L/btCiiUQHWTCAPeKCMQD4PhZQCwhD/hzwHtN95exRIsxBqgcEAKGoVOau4g7MxyzA6OcBoIGnRMqMFWwVQNUtcbjOAOqnDKBrtmxKEsWb6eRC/CS4+ILCye/F52JpsdbC7FTpWtgBFf7+ls6J4XkSjHjC4kSHLluDcp4Ai0ts1NAOy4+INI2nm/pHmxV9Nsw/U7ivbBmbZKxgPfouw6GtWAsVRVAhGefeQZBGLdv38bR8U2gjuf1AlT17tiYl1eYjN8Us1d2+NkMKHveGbDDmIR8YYbwoIEFEmAk0lAhAEOPq9NT9JstfK/sUhU1xxLTOK+llgBV2icLxIrGwTw4P8N6u0XXdeiGHn3w2G778b3x1Eg0ss3nHllQVeiuai1p022u8NL9e1it/j/u3mVZlmTJElqqZuYej71Pnsxz7637qIbuhhIeJQLCDzDmR7oZMUH4Cr4A6SkjRj3jA2iBGQIMWoQSKYqquln3lee1HxHhbi9loGrmFrH3OffCgE7wlCM7d+wID3dzMzXVpUuXPmI9K5dmKTucTidD3HInW2dRwn8sGeuacFkWxGjq3CkhF3Xi9rvJNI0cDvsZ98c93uz3eHuccZwnvDkesA8Bk1dU7CgVUwhw7HsQQaJ2Inhn+ysZum5oDRE4aCNox2GTljA02vsJcI36Afyz/+a/+0//x7/6m3//3/vlz77/l//VP/vv+QrR2LIFzFubquawElHnN27rbUPGVQHf0KdesWkcpWKyIzI4ViZvEsvWbkmGQFBEUHibD8VQpiwV55jw8WnBJSWcloTTGrHkimVN+N37D/gUz92xInLIqaJW4OHpjBib3ArAbmtovdtPmP1WMYhBfmUOrEU7JGAnOO53+PN/9Ev8xV/8O/h3/+KfYFdcb6EzTb6nDVsGplUZ1lrBlrYEoGin3DjMV6ihw2t7aZvP7XWipmOZr4La60CvWo/G1+kq47luz//CNt9cxxgYjc3U/7P/4r/+z1/9IvxIECvIBRCr/GLuqS0V3DG9F9Nw0rBMb8yPJNU+KD1su/nb8ICvxt3dfB7XG8ToPbjy8ty33zOeR5TJVGbq3vf41e1htf8fXwdgZOrXD+Ev/+12elx959cc6fxyYvVRGwT32gmpV/Qtpgwv277XxqICYH223E5QijpH+QF1vWDNGaiKaFxOJyznZ3z68B45belAav3uVnQjT6QpLfAA0TINkUjtSMm6WPpXGIDy1pg9Ak9499Ofw80z7u6/weHNPcgxCgO7wwHf/OTn6sQ2J4qUm2cljdu9jtMAgjw4qSM03np+6fi9bFHjhozKdj5szsprBxGqu3GKaXMOrgxHQ7NEye272psFbj/b9zC//Fs7yhDUdGfL1iqzes42/xET1vMZl8sFs3fw8zcqWZ4z/s+//tf4/e9/j5//8hf4j/+j/wRvvv1WBVFz0XyWCFRrY5zv9ea7X1sLdq31C46UDsIrn7Nb8cHu1+Q3pOr3SIXEBXm54Hx6xm//7m9xenpGMieqcaRGhKqN/6bFNazx7ogrbzJXLdaY94xpN6PKjLgP/XrHjZ8FqKx0ATFJDqLGxVIU7Hw+4+HTR8QYtV3SnrDPGctZUad5vwOIuxNQq0qy/cv/6X/+568My3acv/rXf0PHfwvgJ/ir3/xvf/4f/pc///r1///4+IX3/6LNtebElyxdK805BxcmuACQVASnumPzpKlG4oqPHz/ir/9acHd3xNtpD037BtSalQ4zz51WUcU0/7yHa0i4CHwIPfs0IuHN+dwc3Wt6DPAStGivjSm9q7/T5sTdpvGA6yD49vPjd9+mGcdMWvvb1zphtONH4Vjl5WlDAWjgbgiZKFn7vVU+6FFog/o2JGDbVMfXrxrt3kT/7WjGcBzUcaAFr+x6w2fp1rFq11n51fdfXffwe3vkX3Os6lcf7Jf/9jWEktNXnC7+ylSpl2ETUkhVfw4bcimavqsVyfhGlw9/j8fHR1wuF8QYsZxPeHp6wuX0jNPTA9Z1RUprV/AtpaBcyDhHSSUC5qlP9MPhAD857Pd7zPPcOUo5Z/zwh48a9ZgwpiePEGZ49ljOZ0y7Hd68/Qb3z28hRIiSem+1dj4A1lvRUmnBAx2+Hn6KQIalJTbuYsK3W/uklwiEq35DnNrYtX+3UGH7zsGx2s61cTq6kjFRR/H6ObO//p7xuEHhrg/j/nCrVKWe5lWHpc1dwvp8wvPTEy6XC+j+Hvs3B6AKltMj0vKE5fQZ739Xcfmn/zaOhwmOj4pSrk8b6sbDeKBej4/d72trT76C+l7ZgNtnGIeAiwQoCSUllJKQU8RyvuD58TMulxNSXhGj6mqhbFQBvbxh7JqzOWwy3aBbhWl3IIv09O0U2mYCAO66zVLT5+Fto0prxLpGxLRgWc+aUoyx2yg/7zCbWn4IAeyU+0VFeWkxfXnMftzHr/9NX8CP4mhteEYUU7mWVcVIWQMeMgn/AkGJGc4Tdm6CDx6EiufnZ3z//feYfv4rRb12qm3V9slSCtZ17VzlMaCotcJ9ha7yJXToS9mB8TPj668h+ePPLx2v+QCvfWZ0uDR9+DoF6Pb4UThWD58/ALiG3VrOVlN6I3F6eFhXqM01QtBJn7hOH9oXvXyt/2m4hvY+I7dXWV793DjQr52zuC+n7b72Oee+/PBuG06+dh+vvea+ci38lQi+wedXPKp+zee+7zEZnC/mqFqLlZjXTvJdLNXx/td/i8vlYgR+g9DXiLiuKGtBsog7Lco3WdcVl+c4IFbUOVy1VuwPyt3Z7/dK3J1nrZgLDKkOKWXkNSJF7Q/n4FRpPxfMhz3SekJcTyDHSCmCnPZgvH/zBoeD6i+lqpB4mCeE3XztTA88kzK00eiHCcGWG+5S+3+9k+nqtXZvXzIYfa42lO426iOLWmkgtg9pr3MJXzz314wU8dZyiogGYu5W/dPaGT19fsDp+RExRuw8UE8Taq14+vQJgSr2Ow9GwvnpAaddwD4tWrVZNwoAk4mk0rWhe3lct9m4RYZei4qvUgrtLGngWDrdmFLUOZzjgvP5jNPTI5bLCbUktOa61NLatFVL9fG0/xTTvJZdKWUTIlSxXyi3sK1ZYetGAC31ar5aU79P2vSaBIhSkOKC5+dn5HVFtbQPQSs+pzBjLQs+Pz4ATJid78K6Itfj95c//+5fXC6LBTMFh/1s1ZWqEn+YJ9wdD7jbBby5P+LPf/IO+3nC3W7utiCEgMl0z7ylr1pajwFMXqUielcbadw3UaSkbdoCtPY0jCY3YoRs64lX7PlO0+5FteuYCrxFSJgZqSwbylMFYhIItWoHhYb2j0izSNHemsPcKqX0fqAxp772hK8dgGj7Ws4ZMVnHEQhyETzHjCTAmirOa8R5zbjEhPcfPuG35xPOp4ulmsXSswH/62/f/3NAkaNctlRfqwxWGY8K5oJEhACnCimknKlinRZCmEHIKCXj/fv3+O5wB3KKoPpphhDwfD51GY9ADs6KQggmQ9QJ4deOyJ/ivLQ1+XKdv+5E3f7+Gur1pb3+S8eXzv3HHKp2/Cgcq3h+sAu/lsUHGGU0jLfMaj8YrS+xrgHAmhS3QeHymnOAm9e2793QqPRHB/a1vzOunZk/5k239+SvIFZfI6/3KPaVyZG/8t00vT4dmr7K1cSXYTxl0TFC3fr8SQFVwbJoJL9aRN8cq2VZkJ4XIBdM7DBNe0UnD2oInp+fcV4ueA7POPkTHJ/heMVy+gAihpDqlkhSA1BKwbIsm8ZNUAXx3W6H/X6PuzffagQXq37/eUVJCUxa1bRbLpCcEdczXNBxIE9wYUI6PWG5O3bjOM8zJO1AZderQGFIUJuRZKX2zeHcNJ/kVlGrH0UE6+BYjc/tVpVYz7k5BsF0uXraEFr8QERKvDYZiEqEseVS4peO1deM4Iaw5muDSePn7ZrNqJblGVQSAgni8oyHD2r0T8/P2O88fvHT70xqoiAvJ1xyMgK7Rr/ee6CuLxzR7XhZpTPeU/9/lBf32u9Jrh1hLgEFG7pUjDOV8orlfEGMC9bLCTEuzVLAOUYIm0p140+9ds0vHb5GOGYVuSTqzk7OGSDpfnvrZwgAlVVAFEEFZgmtRJ9Rbb1N0wTPvn9fjBHn5dKvI6WE8+WsJfo+XGcFbHNuzklgE7EUgIXhmHpPx0DAHLw23PZeidgK116NAdHGpR0rO4m0WABwKkdC3PlYWrq/OVVEBDYJOq0KVBuvci3Aa1ycrQps+L4xgKYtfVtr6iihdnYonebA2NL6Msh+dMcK12ml5liRYHBgpWsXXn0e23xt1cJT0TZOpRQdh4GHXKsKy1basikhOOTSqqBVV9FVIOVskn2NcyZgUdEYP+9ApCipigRPKFkrXj99+tTHLucjQghY11UFRPf7Lgcxqqk3varbgKWhPvYEXqzp19bxaFeu18z4XsHNR78KWrRre21Nju8Zf/4xB3E8fhSOVU6b0bzOX97kRQfniYiAof/beJ8VAzIzkOfkxf+gc5/G72m8q6vFAXRH7rVBHVOPt4O/r9f3MR5f8sAJr0+I/n1fc5Do5YRtx9fgWRXYvT4vY2Cw1JcTn4jA5WKaTtC0kVUyoVacnh4Ro0W8tSCX2BGreg5aMScVCy+2iVTEnDUluEacz2c8Pz9runBNeDw/9TL00TCKAGFiZBGUGFEX04gKZ+x2O7xZVdfHEWNdIy5GOPbe4/379wgh4NPjA/b7Gbv9hGmesdvtkDKwnk44HA5g7zBNE+r9nXLEpG4o1Y1jNWsXmW3shorW8QnQMNcIQOKhFdnNPPqSU0BE8JlvDE41KQ7DRqhVI+EKsVr55fz7mvHYUljb+Ld7b+9vWmBNB2pdniG5KIJVKy7nJ62WTBFvDjv4t/eYpgmOKuJ6wbosdnNBuSHeA+X04lpeG5/Xja7e/23l3/X6Uo28VlTa0EUAEK+9HZELpGhTXAcH7yYUFy29Z9WvWdtCEQiVBHX4znqF9mLbSCFwwdvz0c1a+/Rt0hrAIDsz2rqa4EKAI13bDMJuCig2j1NKmKcJ4V7lLj5+/Ijf//Aen58WHA4HhN2My9nQrZwx7w9XNvPWsXKsyuZUBezVqZqsmtcxIThC8B6BSZtBi6W7R9osNkdc0LiRjAKoiKzNqe6QDP/anFLis1FDTGKloaYly4u5MJb417rx4PRQwV4xgnopCbX11RyEL2kItjV41Mr1agBi+4d2f4QrpX8VkN3maqnjvEV3tmq15ttE8KRjH7giOe2lOfuA5DwSFxAl9JZedjT5Cx1HWOZckGuFFNWyykWLAqqWLVpvz9wzIeqsziCqOJ3P3SErRWVF2j1N04Rp0uCUcO3Qtr1z5FbdOlpX4zn8/tq+OH7sKmASMYf8dZDkdj+8PcbvG9/7mh25BRi+dPwoHCtu5kUEJZWrhSR1GJzReQGBkbeF05VeHRwRJOVe0XYbkbaJuA3oteNDRFfqzW3S30aZ/dwYHqlsi6u/v1xHrePnb0vax4NIXkRe7X3eGmd+cUy/4KW3nf7V77NzikhHpMTE+3LOXe8HqL1i0TkHyiq4ytbbL+eMdFmQ04qzpYBijLhcLnh6fsTz6aSE8jNjXVerimm6QMq/enw+QUSwWkuilBKKADmvVxO/oQLMjCl7i54CfGipFuB8SYj5c2/XEpwHOKCyYI0Fj7QghAReL5BPWlJ8f3/E3d2dcuyXFattQvv9XsvJw4QaUydrppSvHfqyPTNNCRm3y3sTGW1z7npu5BfyAS+P24VNRKCIq81C+0MSyNEwTwbF9dbSwm0bz2uR2dX8IOoSDlJto7NUwgvVY1al9xQLkFUPqVSgpFUj25KQ4qJp2/0OzL7rdakT6gDWark1R3hKL9bOa9d663yOAoZq36+JqNt4XleOldgcUQaSIi+aXlG0JeeKnCu83wGouFwu8I5QqmCags1pNfalWBosTFcbYA8fmVGp9btsCCShle8zax9TiFgqzexAFezCAarv1TZmnYP3xyMup5M5Ih4CwtPTEx4enrAsC7JUzIc9LpcLnp+fdRwIOJ1O8G5IR9+kMysAkordzjZUUmHLyQfspxmeHVgqStZG0zxN5ghqeyUWIImAcuzaYkTVeGNAZTbdpMEhqRVFFGlibsrdupakDs2FocgVB6A0VfCbzXxbjy9RziK5FyC0ZuuKwBdF4NqcgqmWs4CEe1Cv16ncxlbn1P6oQsXbHL1ypgZydJuXzjFqtj3NUsKBXadAhDAjxIwoEbnEq+JePwWEnBAzQYqea00JnvV5OhY4qYhJaRrB7XSfdVrt9/D5Eek443jYYZ5nnS9NX1IyhIB33363cfpSUsqG9Zl8+/bt1Tr80h7W5tWt43Vlx67O89Lh6ue2jXf87Jf0svpcboGTrZkG6rQKx9EhH6/ra4BHfwZ/9B3/LxwKYOsmqNVK9co5aahSfxCaGEZBfDEhK+VeYQNsUYOerPGtbLLaw6ChVFNTKbjiy+iJBKi3qMBLJ+rqwdtf17I5hLeLOZdsp3/p6HjntAcxtn/tba1PWjuuHnbJr06AL0cCNhGzNC/SorMCKkoK5lrgiUAWyUvWlSzVQWJEzdHI4doAe1011fbDD7/XtN664HI543Q64Xw+I+aEp8cFMW098LIJGeZascSs7UbsOsWRarXwrk/4WgpyEaRSVGZBBN4LfAGmQQiSmbFEFfFkzlq9YnNECpDOC7x1eWfWkmdhh1QFjmZIUbRAKsCVcHInEDHeEEMmXczFULriCqZpwjnGV6tdajW1b2zpkPF51PpSbPW1+fHyd6f9E4lQh5QXlcE4DW2W2mtNoHa8RmZ+GRzcRJTMSrKvlUwfaBPv9M6ZOkbtROvGD1LHvUBy2fjotaLUJk3AOtZcQIUB0YCq8HUF5Xg9rvH/XhmXerWBGZJ3YzP00MbVtViPtdbAtVbtY1iKtuopFSkVpApAnBHMobIdIqCJId4DzNpPEADsuQjzleBmO0ym1PpiqqhlgS1FcOO8g4WQxexX4+8HBooiV6Vk1FyAWuCI8O7b77AeVnz48AmfHx7w4cMnPDw84Pl8ht/d9YrZJa6IqbUIAvKwS7dCjfFo68Sz/pycxzyF3v/wCmVqz5h0LEEeBEXmUCsyFThSygc5p/dflUbGwgi1KlLHbW4rWtiCZSGxdisEXDlj6tSqZM/472XfuM2WK2rsWLt2iGhTbJFt828thVTKWNuMVUlowX2p+q9KS71va6YjcQYLbFWe9h4mUDW8szkZgIrsEiCOETxD4jB/uz7T1awfyOTmRPZrIWTRbhBaAKVq/IA6XOQYhVTc2DvVpsspYh4qrWOMuKwLHDFijH1Nwe6xdw9gfrEe/xjSc7tvXf/+Ej36U3+/Pe/oVI2O2Givv+SM/X/GsSrLtpk4ai7EtUcKyDapW/sDxSfVCRBRKFh445LAHDLrp9ZmX6ENQXgNrVK17vYQ2+QgrdjC9lDG47XUXLunxdmEatf7ivd+G4UDUDFCkRvH6iW0fQtlFkHvY3hzQTff1ZxJm3TnjTSqwLwgi22AkpCqcnWcpVUYBBTC+9/+A85Pmq5b1xXrsuByVh7V09MTkjl6Tf33cLzDvXP4+T9SlEBEEHPC5bziZEKJz5eLluqaon4VQUoFT89TjyabOrUubkBy6o74mjXSVLImw4UDUk6oKQFIV1GIdwzJGc4V7CaPWCJOl4hp9qhRsH9+xuHpCc45ZCPhTtOEb759i5/87Kf41a9+hTdv3oDZIcWEZU0ou0aQ3SoaBcBkCIoKFrZ5tKFr+/qS9D4a321+XKOnz7yloHQTHyJDmx+9eg8byT0kGc5n58zjXL7mSfRIu401baT41jCbqG5zNRfUYusHhFri5hhXAVNBXC+W2mWrZjIUmUL/TqZ0tTbaJjlulE0MeByn7X0FoOZEFqChwVD5jVI0rdSaRbOYULDzCNMBHBiuVrAH2BfsmUzXaQGRYN5pO5Dff/odLpdLR37H9dquvaWxGw+l1orlch6eC654Om0DrblxakwBXgQctEqWSgSjIjDhm7s7fPPmDofDATFG/M3f/A0+fvqMlAoqgP1+j0WAzw8POJ/POJ8v2/Wxv0LCY4yYwtyrbNd1tQ1XbaFjxjx53O0PuD/uMfsAZyR1Ff3UuV2gnFHnDHVjJfiDGMFQYHYqAkxsOlZoaGtttC7NPPgW/FmVlqmJb+riDM7X3Q3aHN0URGRblzY/1IEkOGaM6iVVMqIh9m2taI6lqF0yJ6uC1NFm1o6xDEjOyGYDrvl2ZE70NleppTkrQTxBSgULobqKOThwERznGVNMSGTtorzHngipFuBJz6XSCDOcn/DwdMKyrMrvEmvlVTNKkV6EwKTjEDxBgqZwY9Jiod1uwv39Pb799lu8e/cO+/28rTfeFM1DCNjvdh3B8t7b+ho6obwCLFzd/ytBXBu39vex+Opq32MB07Uw9i1wcPv6+HcR6XPhFmEbr+X2+r50/Cgcqxg34t2t4nkpm/pprW2DMShYNmSqafboxjpAiUzaa49bZOlQJKEJho5tckSoo1u1CwtuA9s476PY6Ojt3r7Whl9uWvGARj2rNtlennPIZfbPXCFmLV1pxrhvkJJ0k7kZ5w01ud58+gSqShqFbUhkhECBwLNeR3DaPBaoKoewrnh6+ITn52esl6WrjAsqfHD483/rHylCNIXtvE7RIXHqEOVaENeMy+WijlVKeHx+RooFxcYll2KChUMa19KAahArpvl4tZF16LqqOI8DdRThKhVAmpoSEVxEDTvVglImPIczlhTxdFaOT84Khc/zjMu62GahG04Th5ybIjEVtJ6DYzS0rurcqVOy9dMSEXDddNpuo+rXHPr2njQUcrRouxkKTR+4KxS2nXO6Ka1v3zMandEJbUdOQ2rO3tfGu1fk2vBOTsnM3ntzvor1aSzIUjf9Jxe0ysmaThN8r+Aq9boit9abtQCglpcpeuaW1qqoopH5LWEaYEhlOBcwz3uEEDBPdwheHYq74OHcBLaiBnXUPdK6gJ0Sm5fTGb/57Xv8L//6f8fHjx87uXcj/W7Cgk1csffyKwWXp0dDZF62zdAUIYPMoRorc8NEyGnF7AjH3Yy3bw6I796h5AgULZn/+PEj1pjAfoKzja/Nj3Z9mmmsQM4v7NtYUeenGVLz1bgzb/3siKyHpnBHkEREEXbR4Ljok+2Nv4tshY7CDtqUnbVqRqjzjRriM3535zaSuXBMnXPV5vNrm/Z2Ds1cvIbwt7GXStpLtCFDrGkEgbbLSqVerYWGVgGAMBul0fCtcb72eyZTCzFeEgucsNk+gidGAsFza381wbl41bj6Gp0B2HlMExCCSm/I8P2lbHNoFgeZ5oGzylo4YBWuIQR88+1bvP3uW3z77beYJnWY2J77FCYAVvlp3U7GoKIFerfFVldI3fBMbp2vcbyaH9Du9+pzvH3XbZZg/I5xvL7kcI2O+O11/ClOFfAjcaxOz+uVp+jcJsK1lcrqe8swicugeLshIgYTtzRMi3Tq5unScNtsjZQV9Gq4bdvcbibDkEYYXtSFPai53469zy/hw9Foimwb/bW3fv2g2+e6R+2vH/jmjKb+3vGc198pVxNI78EBohEiNcVzymBUzB7qXHl1Ykta8fDwgKenJ3x+/zvjJWjPqeNxj3nWapH94Q4cAohZUanLiiVGrbK6ZK1aqRW5FtTiwKQcqN3McLSVLRMqxDswnRRtEE2nNcIpC+DmZhjMsfCMUqwTfK09wu1GT6RvCupEWlqyFjjjtyxxBeKmhi4ifQPJteDh4QG1qqBeCNpX8he/+AWme60iZFJYH1lVl9dYkVMCjM8D2krvs1Qsr1SQjo7i7bNs8yPThuK1f+ui6bU1tdTOy8IFl6+Rr9GBa+PTxmgsLKllRR7Um0utnS+XUgLZZsUgfHN/j/1eRQaJSr+XlFc8nbRsO1kVZU4VMReUbKnSVhqP6zldDdkax6OWl8Yx+IMRW8XOUcFuRDA09cikUf5+nzBPexwOHvMEiJtxdBPY7+CnSeU5yFABv8P+MKnSf36Px6cVf/f9b/D999/jdDr18XDOXfUEbZV6+/2+c8DWp2e9T/u9jOiGOVYMdVYdNrvovSJYx52Df/sW9OYezA61As/Pz/j06ZM10g3wswo25lq0bU3Jqj3mGFKUy6gl99s8mecZ3tCpUgrCNCMvKg0gbkMRgvPKl0LbINvFq5AueQcW32kfWSo86fwvUpEra2UrADKHhcDwZFQEYm2u3dGuzYGSNieHrAZEebIt/b1txISxinRE+l1DnqQO4rr2uUamZ96qrmsFiMHFq+PC2ybfbWzDsYRMpsHmoiiy2+ev9aP8EqqjyBBsHTY9JddRtzKgXxpsqp3qravsnouNQBYBRbWbpVaT9mnrgsAEa2yvXNPj8Yj98YDguKOlAFCkWqB9va+0Ndmc1lt06DXH6va4tXGKL3whVUgV/EqrutfOdbtf3lbu3qJVf6ozNR4/Csfq06eHPkGICNPkrV2Ct3JOwPtGcEPfjONlM6oueHhPoMmBWA0lADixyKBKrxohSxkSERwHdI0mbBNASbo36tm96fO1rpDOn5cIVzsm2QxQn1i2uLJFfylVNVYDsXIr1b9WnO3oR9gcrZH4h3LddHoka46vX0PkjNU5SNXWAQaS23EAACAASURBVCRbWxlGRgyAowIpBaUmpOWCp+cHnE4nIMXuVMzzzjYdTR0sOZvOD2FJEc9PZzw8PWJZFsSl9GhcSB3JNSekWLDEZNouivpk0c34dDpv418NHasVcA41F4W2nYNnB/HcOU0laWVXb1ViaRjnHIJ3oOBRq272KNriwXlCskqZ/t4Q4KeA3WHfm+p++vQJj4+PPUUYY8R3b9/amOxM5FYg1QjQLfVKW2l+hXKJYpiHeXXt7IyR4JjmYGaQNV/trTNKQVyi6S+VrQpLGpLTFNj5xbxo59X3SV9/zENlVdH5WkrtRn2JFbkkle6GIiAMwpoqplAhHvaclVxcjQSeStUNPyfkKsipKHJVC2B8MXbXc7pVfum1uptxGSqRpmCbkMXspHptRFU7/TgHx9q+SCqjFjZtICDYNbKb4PwMH5RkryKvO+i+GrTpcTgiV0LMwNNpxcODcglrrb0vYjtijNjtCip8/9vptGwyC7UaIduegfEdUdUmeA4IwcE5wm6eAAfMk8Pd3R3evv0Ox+MRzIynpyclo3uPebcDB4+cKoJUpMrAQHhuzm5OFTyIAXvv4XhzqBv6BiZMbiMft40eRuYWFv3/ltLUWkBNiyVLPbmC6isgAfACkPa1E9b3Ew/ndw6Onf6EIr3OOYA9mKi3tmrzoAfYtCEc3Y53ZKRcrYXxYBmzIDrWMlQqNhellgqw1kS3giG1xY0CkLQ6EoyNwCtoemFfRcpsT2rvccyYfUAIW3DX3ltvHCsAHUV0zkE6Emn3ZO+LRRFt7yaTZ3FwTqs/R8cMgLW1sdtghpg9YnY9QGiBZ3sW152nrwGENr+v91LBLVK0jdP1GL02bq+9dutUjfvl7XeM5/mSk/unHD8Kx6pF/U2Vep5n7PdqgOcZ4JsURhuYFIfUCDuVEhAVfWQec7H6UDolvqNLDGY1vJscfotQtlM33RAO1nYi58GIt0nRFYxe3N8kDCZG4HDjsQsSseqZlAIVK4ESZ0XgzREjaCuWvnmIvhYsFVpU2cAQAjXDVSqqEGq1kuCqjkspRYmRbdgMDSQSFDCKdTxHzSBkAAWOBFIiUCPWywVrvKAmVXZOKeHtcY/j8Yh53oNIK+RO5yekXHFZdbMEMbJUPJ9P+PzpEc+XM86f8+ZwwmFNEefzgvO64Pl0Rs61Kwh356qmm8Wmn/dM0DJqD0dbLl5EI3qe96pDFI0EPcwpjfwZtZI6a1K7E1xK7s9bgdAJIXhMUwAzWUqrdvL66fSMZbng0291TL755hvc398jTLPxRhjLEvtmBN6c7VqBur9OG4/Ocft95GsQEbwnhFLBIvDV0gcgFFQVaXSaglXdHJ3+zlKQUba+aU0sohm2Ea3yQzEAAOQscK4il4Jg18F+QrZqL9St2fR+v8d8OGKaZ5SqmJwXQSkTcq6YzelYlohSW4oKiLndr6BiW3MqeKpEd0A3/5YG1HHZUldTOICZDLXKIAZs2I1fN2nPOVHVcZCDwKEIoTSul2jaSiorX9NNqCDELOClVcd6DdJ8QAUhV1GHsSovSytaFbWKScBeyfAsQIWm2JhVw+oqTS1GHq+CWlQbzjmHyQd4H+Bc089iTJNWcTEIaVm7LMk8zyoaachwmze3qeUxkr89+noQQswFYKCG68BzRIVuz5VSAkSQk+rI1ZzhWeVLIAdUSzFlzwhsNoEFO7fNxS75YNwt5Vd10lT/ziKE4DZuz21/yZFDM17/7TiAWkDd9hBC292lqkBpqRtnTh0ubChSKcgDb+e1TXp0+F57Fi2p2BxXHxguNuTK4Uubv17PgDQr5q97CZkTWGtPva+rQDyMZxXQGn43svq6ribmrOKuzjlU07EKQXmJJW+tbVpwR4NjO9qxdo/t55eexRbg6T51i3xt55EXW+9tkDiO62g/R2futbn//+T4UThW8nzW8n0RuHkPJw6eC/Y0ISwF8+wxkQNAqJVR4VGkoByAYq0ZnAtqbMgBlcGJe4qlCXSyCYWKVb3ootQKnjHNITCCPK6hyyg7kxwAas2AKHqjcgpkFRrSowEyDZJIAoaAeCzZdIAI2HmgAsFNoFTBpcD1jZO649crYbCVpk5B76uU1CcKM3o1HQ98jdKq9lLunj8ZJNa0jdyesZxOCAQgJ6TLCWVdQZJA9YyYzkiXJyyXJ1QkHO8O+LN3d7jfH5CKqLJ50aj9shAuS8E5CmLJSEXVhU+nEx6en3E+n/HDxy1t0BbwsixIJfZNoTU6LZbG2/OdOZtuQ2uEsFZ1joLfwfmd9sEiAUOdnlwL/MxwE6Fa9WEtaqCmyZAjFlQJoEo9ZShpRUmmMu6DboQpoy4RxWsKWxpXwp7Lpw8fkXZ7PD494+PjMw7Hexzv3+DuzVsc336Hs2M8nxes6wJvSvHOeSzLAifnwRDDeHYMZOMZivFbWAydA1yNOCGo44QNySnsUYSQyOZeCH2PSWbMXA8MdPPQoohm6FSiwHkGuxu5AhCEA5i8IlCGPDqaAdk0jRhAcDt42YGLgzd5h5wrShQc/BtU1ipXF4puWKxGeckrilWhVpxss7IgAWHbHItJJKCioCiJFQSpAioPIGGwGKJSFYGgRHBeCdOUBbVGEHv4QAggkDvAhSNcPkCigwhDdgQnrL0jEyGwNhWuBDxfHlBph7A60EKYyx7nUpFihBQGjOuVUlIOUnaguMN+ugcYiLvDxon01eiVmu7WRHWBg62XWtS5Dx6HWRGCnelgnU4XLTOsgvMlIRcPDnvVicoFsa5IuYIuHlM6YF2eURODaQfngVjOqLxtftPEmJw5PTGhYo98umhfuTlgEkawisbiBEuoYDgE9opAFUHJGYnYKoIvukGnRvtwePtmxX6/w24OmCaPKTh4rw7BORwx0wRPjCDVdLIEEwMzAI8KJy3NCIiltvPeIZApi/eUUzEelgeQAXhDWyuK2SAQdD4aysbeoYim8dXGtmbKCSkniBRkE9mVJgdADgWGvg+FWSKbjA1zQHbmJHJBXBaksmmtZRSIA3LV1CQ5QpYC8oSdy1g5I6AgCEEwI49E+Boh2YECwC6rEwzANZqBaMBJRtQXgcqHRG3XJHmH/c6DMGE5nfGJCORniDn0k9cmzrOhrak4pAzkrF0p/F4101BE04odgbqmGbRDbQ73YLg5qrqfjRIH159tDllzsKXeImIvOVHt97FiceQQ3n5mdM7+7yBYPwrHSptBbN45YJ4jk7YqcK6TjklUZJAcQwoBroJqVT0hx4CRdHMtBqdjgElb9NO4VBp1GJylkS21ig/pEUiDcB2c/b8aDzHoFGSQsL1Zavt8E7IrfQI4F/pDvL4mhvdFSZIdquRe6dBIvI0LAGh6RhGshqiIbTBiFSyGfpR6JXpHhD5ROzKCgiVUBGZwLaASkR2hBIaUFZ8/fcb5dEKtGYe7Iw6HHXbHHXa7GefHJ6RcEGNGKqrlE5MglorPT08qr5ASci04rwseHx9xOp3w+OgsWjBj2Inv1P8f1qLEs5ZAb9GmgEx1sMHQqi+UEeMCgesp5WkKuKybNomz6iHlhW0LWaQtVtedzyyCYgaxlIq4JkAIz3QBgeGmoP3WmFFEU2PZ+E2ry1hzwRozllywloooBHKaTlpXrZp8sBTi8XjE54+fDUJneOfApEhKXnOPBJvDQ60rPQOQTbailWA3RLWl0fvMFuOoCVCu9N2kO4cj+VdKsV7aG19CU45NAkFTDOQ2Q9gqqJhE01ZewA6wJBfAKjDpyAOlQLIGIuQIcA5UCV4qyGn0XwujAwbZ+EbuukUJt+sW1m+p2upjM8zbPXWSeNGx03vQVCpLBaOiSjFuSoEgQcQD0CIaQIOrKoQqQKnajFaJ8VVtA+taK6iA8R5LTSBSdFSkoqL2tIs65xrlb1rIDEaFiAOTcnU8eYRJ0Z7dpJVhh1kb47a1UHPZnlVKIGaVbmnXDsFlPVsgkzT9ZrZAy++37xc2JNwxLs+XIerfUKkWmAavbZ6omg2OGTkmPGUVIT2fF0M+at/Qaq2YLmfsQsA0e0zeUu6BsZ8KgpX9B8/YTxOOuz3qFEBBdaTYiMsV6G2USD3o4ZkXqzgXcN0KPNocVl6mBdJMkNay0WQ2LuuCVLPZ5qZ3FcEAkpuuNnQ2dDLGiC6qLFsqn0gJ6W4/Q7wiLc2xqHWzUw2B0axERTH7pOPmbcztM4Nj1REZs4mvOwUb10sFsaXbPw1gHFLJWGLG3mxJSgkkMFkNPW+MKtPRJI4an1AR8OFasF37lxyYEUn8EnJ0m8LrTpZdw5eOW3R2/I7xPLfo1vhzPP6Yg/WjcKyWHLdNT4oKUjKhOEayst0MUieDTZRQaEvXiXJUACBKqzwjE83biOVtktWGYBED5JVH0f4j5QWM6FIfRCPY9j5S5EBUUTkD4qFNhpuDo93AQwiQoJ78vN/3lEp7gH7QERoh5OYo6ATlq8XkafPuW5sOko1orLdrE1RZ+f38mm4YK8RKgyuQOaLGFSUvoJKQ4hmPH9/j88czEASHt3cQEaxpwYfHM84/fOxk5eWiabzn8wXPTxd8fnxWonrKWpVCZE08vaJXMeLpSfVSUtH0o/cex+MRx+MR98cDLqsqto9QrROtvGPmLpbYxnOeVItoXVfkQijFoxSPyXsQSUe/iLaWC6moQ7jx0MrVcy/VRCJJYf9YKmrU9KYLE7gU0LIi2zhESwlKypYGIC2qcAFgD4HDP/6n/wTv3r3D8XgPKREfPnxUJMM5YNd4hMU4d07RFnB3IJzTIoFg3eiZ2XSjto3Oe4/dbne1ebW5VUrBEle9TvdS06fN0RHF3QIDey2OCvFOVenDDGYxnp4GPMwO7BJABVUSVrqgSgU7r+jSNAGVEdcFsaVyOUC8IpGVCioXCAUwkYr/ijpMWlauP1tP0b4plY3j0u5LVdGvOYvMFry0OWW8kt1esJsLHC8o5RkpTwCtKGJNv1m1rSKvqABSPiOXC5JErT6kDOcEYVJy9mqoZ0U1AjQgrmCagWnygKikSBW6KgYGrGdozTB2PogIO+M0TqxE+uNh36tT1/MFJWVcFi0MqMaByUVlTTRFNeGcFpzTgpQzQBUpZyxWKt8OH2YwOaSaELNoMQeTFgd5B/YBcB7CDkvK8HOFJMHltCCeFqzLgrxmPJSMmJMilUVTUKWo3X88N9Ffda6VU6XP4y7stJReBI6Bw37G2+M97g47/ONf/grH/QGH3Q6ePRxpyx1mxkQTSlFiBFmBYbWADACkpu7oVFMSW3ILSKCFNmvEOa44XRZ8+PhZkfe0dvvV9J9SmPT6B0dTf1dS+KYWby1zbI4e9xN2ux0OhwPm1goJKrZbpCqnzOgGKtDZGsCTKZ5PINJWROtQHCGVkHOFQwGK8hxJzPFEGwMHJg1qqwhKSppNI2DNBVwqXGUsMeHjx49o/NHdpNpyP7x/j2IdU0QEh/0dfvazn+GnP/0pYtYK77tpfrHX9z1KtvRfs0ltPV5xtNo9iTqCfQ+jjXiuSGPtGnEdLBic3duUa9s/ieiqsKTZznZNr6Vo/5TjR+FY5cabgFaLZLGWpkLItSIJlLjJAh7IT7V5t3CKPIgK3OliMVK0aGpsy7c7AFYpQQQhr/wJYotiDYK019AQLBGVMLCoEeLsQQqIvD0op/I7aAsgIIQJMMcqhLlvTLcPestJq2NWiphgnqIXqq2yNRR1zlkFTB8NdA5ARXfMrGIXInovxM7U91gdU/Jo4ZkvBdVDnTFS3ag1nfF0fkQuBbForv35fNGqp5xAcPj9D+9xuVxwPl1wPi94ej7jfF4QY+o8GWbG+ZKutHtqZTUsrE2P13XthNtf/epXOOz2mLzCzb0X3Wr8KlxHGDSkbpW4agTuaOifUyK6itd5EBwaSTgPDsftYmZLizjmrUzc/sU1d3XsWiuSVcnFlFBLQoxNrVhRRNXlYuyPO31itSLniFoSclpxOUfUZFFzJUgW5Kyfczx1Hp33HtPktVVJ8LrxNu0pm1sqgkpgM9iNnNzI+OfzWVEzluF5qCHa7XZXejHjXG3zd28BYOMFeT/131FFHRoju05BIAgIziGJGmMOQJYMtrRrRsGSFkULWeUhUtRKNSXZarrfGZHZh4Aw6+aymw89gh4dK42ct02vqVaPzqYbjHQz6lrQUOA4gymBEW3OMUgiUI1zRRW1OoAqUJWDqGRl3QQUPFe+masNQdzSfESK4umSdKgQlGIIl61pQP+uQZZqIzGoV/PNU+gE41QyctJ0fykFxdSyc0kQ3gJMZkaYZwQU0Logl4jcgrlSkTHK3yjvrNaElLSggIvaVOccwjxpuqxqAVEFIVmQkYqm24UUpd35gOb8xjX1wKkaWiTmSIDZqvMISy5w3hq7V6CeI0p+xOlyxm6a8ebuHm8OR+ynuUt66Bw1oVrWPJgb7EVD+IsMVbaACg0DiLnisq44XS54Pl/w+HTC7z987Os7V3V0VLaioO6aaPG1/YCtKyWcq+2WUnsniYeHjN1uh7u7O9wfjxokGUDQEPreY7RlK5yDoyEgIOXRlivtuQFt7pWz5pgQmXNF9lp7HyxFqAFkzhlrJjyfznDu2O1DjBlpWfHDDz8oJUKy6ly9fYf9fg/gGvEcA9/m5IyctPHeRg5ne/3WkfkamjW+Z/z5pdfavd9ex/i31wob/pTjR+FYbdDy5r2WLMafUh4VE1BJNzodcCXj6SZqUb6gCx/WAhP51JQck0aZxAwpKgQHqMQAwaGKlvT25yiaUqCBp6Sr30EUU4cSWwmQopUpzHA05G1dAFMAfCNaBvva5hYIiD2ajDJBO9ATBK43Um4P1hC6gYhZrbEuGwws0AZ1Gg02T72pCNuChVhPMYXP1cFqDpmAnequXGLE8/kBD6fPOK9PeDo9YEkRMWZcloin04LT6YyUCn7929/jfFosilPxuVoYcHtVgWdttbEsGSIbguCnCcwBIXh4g/8b1CsiOBy2cvTmGFzyZZg5jYCoTmfOqUe8zjdnwqpZPKugYy4gUh5Om3NxLT0qHJ0MIkLY+80ooAJS4IWU41dO1p6mXY0ajfO6gGpRwmdUx6CYw78/HPHrX//ayLwFb97c4+7uiCkwfvvbzzifLx2dlOo0us8EqRd1OqwaavIOcZ4NuXLggYzJzCi2yYRaQd71+2vO5fl8xpoTziV3Yzc6Vg21asct52Ep9cqp8n7tisu1qgJ4qSqd6B1wxA4yTXheVQhzT/o8HANh3qFUk7ZoZHERZEEnpQu0pQhDuZHsJ/1H16T6loasZNIrjV9jQVk34G5wFtHapYzSEgXOJS0DoAQPp4gZHHJW3iaJrj+1Nyukxj5vxutp57utgmocx24v1DSYhlGB2DjUqulTzwzi1pzXD1XTDiQVJRekdVE5j6Lp4lwKzucFBQLHAfN+hzlMCN/cIZUI56+vCQBKHDdGtY+lMmIqiHFBsLeyU6fOu0nnApzKZcSIlA2B8BoIHrgVQHhUCJaLSpjUWrEsUVPNDgB5bUvjHIR1nYkYBQQV1SgCSyTsPqheWIwRb+7usJ93mIsSqQMJpBryCuotnEjQC2AA2DgrT3JJGjzHnHC6GPp+uuDxfMHD6aQFCHWrus1ZA75Wha0gldndxg1NGTlUTBLgnNr5XApSKdqY3qQScs5KKUCFI9bWWd7DuTDwZxmuaCGWJ752rsZUYLWMTnuGIqbhp0GRb3Mdeq7ZA0RB9x0nmALDBQcQ4xIT7krB5bLi48eP6iymiIfPn+CgDemPh3v85Cc/wX6/V7uSEub5JVrVnne7l+bUtDVyTZF5/fgagnTrBG10iGuu1GvnHP/9sff+KajVj8SxagrJBhObU6VOlpZfQ4rxlgYtnUzQcnCH3CJuw9GLpcAAgJzl0sXSYvV6IAHlV4mMg2lQD2ALBr3RsBCU32NkYXRELHdNFWobBFgLmIQ3InJ3jgTECt1KtXJqEGDpyNop0VouTv1TW28wqsUk7oZS/CyIqUVPWjLejIcvHi636NzBeaugY9Z0gxSktOLTp/f4zT/8PX54/ztczo/4/PiAuGasKePptODjpwc8fD5hWRZ8Pl+wLqmFndCeTrZQlHGri71Yyw5LPUarDmrSGt577A4H1fjZ7bEzzkjbvHLOvUWLGi8MG6Hr3AdBMQ6LoNaMnAnsG4fLeHGS+7xLMVuKYtNYahWqbueURyGbmKUr2SqT0OdDQ6xq1Uo5iJL5qwhgKeNiqu2fHz7BecbxsMe3b+/x3XdvUdMdnh8/oqwaVORYUEpGqYRaWMvgCVAl+YISAkQcatWWJ37kJzigloIw6ebsRCUEUlEEbEkFz2dVVn7O2wbXxjXG3CsBgetor/3/JaVt7IOm5JaYwI5QYlLnynhF3nF3XE6PJz2326EUAZxgEkYpusFKtUpLrV8CN1VtS9Fs/ypKTFjZil6cg7N53p4NiTlARABV8NS08RpZVVRnjK4dKw2Csjp9XMA1gSqrinz1EKkQCYaE2XxMKySpY+i4OXWsQQ97MFc4Z30tZSDd3hhv5/T8LDzw2BgEQ26g2mjOeTRJASKygEqd+RRVHDQE1zeWUorZIOmoIzMQgsPhsDN0N2tz9EEaQjduZxybrHbQA9zOQcptZdaqQ9SC1HqtkVMJHAHCToOA1odwCbNqJTlGjB9VxqU0DEV5t42nRVK10pcAJkEhwCXB0+lsttsQSKhGFxHBS0LxwRCeTX2fpFWH1/49teraPEV9lmvKOC8XXJYVl5QRS0GsYi2N1CnS1luWKhoeoZhta6nNmmtHyDoNhB12+4BpNo1GpyT6uq4WjOgJ1S42TtEmN/AC4WncYhu8Wqs56epwkxgiygLPimZ7Qwc9M4IHJu+sYrZi8qxrxAEgwrJEPDw84OHhASVHdagmhzBN+O677/Du3TscDgeTwzlpddcwHq8R1sffR7sy8ju/djRbtZ1j+9uYBfqaIzSuvXEtdq7qV5y4P3b8KBwrNk+fKkD12oDmVIyWaMq9Q7f4YqQ/9qqD09NfUOUC1cAhM2oe1XR4HO8h0IdBQENJ0TJpACzXrf/fFN9baS/BUlPYPlBEBQubSJmyOVTXJTRItpJ+xuQNRAg1N4JsS2NukYeS08ng4UErpo9bNfSrGIzbHAlBjnkj70PPU0WQXVUDzUAIHqEwxLfy2QWChNP5CX/44Xf4++//Hh8//QGlJFVFvyQ8PD3j/Ud1qlaTLrgkoMqWO69ZOreFTCAQ2IQN2yGQXpXXUzBOI6rjnUo3jBpSTIT7490WxYuAGV1fipmxRm2rMyJPpWSsVZ0q5azp2JcitpHDCNJKUE/JeG5g3PGW769Zq86cCb42x0MjaG00XaRinueet3dh6jl7WRTRmKYJOSacTk+IccF+mjHdH/HLn/8ZjpcVz6cTHh/PWPIKETXElbR/HCrBi0Nlh5zV+DnWVAyRChhqLMoomQAm7f9VBSVrxWZOwGXJWJaExa5zNEDFVOOZt56Tt0bGl9RTZyFU+MnkA5gRl4tJLRQwBKfDHrv9AdNUcT5F4wQJUK0vYGVIZuRVdd1yUrkFDhOCwSPV2hPVKpAi8MLIpGTaNCWEJiRsUTT3zck2IXiQ2Qud/+rsNc5JQ7E6+Z4qmJXPxjWjZICLQ+XYN6wqAlTVQ6K0gtIKB0XHnQsQWSCilFoSRnAONaushSOGh4cjFc1Ea2pNm0hoENLnb46hI23+y6COqLdUqYf09FRM2vS62cp5nuGys0bGKqC7rhdIqYpeWTHFCSfkywryoT9nTd1r0Jlyhhinywdd710Xbkj1iLSNSkU/9Tl4kynxYPKYHQOSEAi4XE5dt65WDSxI1GnRwhEBScXkPYJjFDO7MWugd0kZc45wyRvfRnBAhtS8US/qthGrn97U5g19qhnLohSUZAUnay6IJaPUCnIetRasJSGljDVuHQZkjS8cZTZqhtSKIoJo6PgcVFNst9vhuHuDWrMWmwBIKZp+YjFuqQZ+iua4PsatQXXjoanzm7pjlaXC4yq5AUdQSRg4S2Vr4Ygj7fnovf6/cwQfAOdYOe2OO0Fd0/sVh92Eb9++wf3hgJ/97Gc4Ho+GPKr8zm4yMv/Y61W2TM6tPWm/f0mS4va45VDZi2jaYOP7xu9ur71m026du/bal5zBP3b8KBwr9ca1yzmTNsgtuSLFjCmoo1WyIjiarrNNdTbxx9icCkBkg9whuvC1r9WA6JQt2h49auoT91qHpT/4bkQMQRrgVqmAOEKSAgeCN4K4fkYNk5IPFRzSiiG9ZgAdgdLFpAu2Vo1SxNTEbyee71/PxoFQQmZJGl3mqg6nYn1G/nYOiBXz7LVv2+RBHCAlATXi06cf8Nf/x1/hh/e/xel0UvQGwO/ef8DDwwmPzxfdlKOKCYoQzpbu8g3Fsc7Rkw/IceMdCDYnKDgPHw49OmnkSD9plJmWtTtqWXTRAoCrMI7Rxi1Rm6PPbJqUU7MsS0/LaLWgogVadakbt4rEqiaOClRei4F675WTpg9Dy50FWm5PinS1nm7MDrvDQQ11rZj3G48qZiNCeu01iFSwnxUleHh4wPsPf8C7b9/i22+/RdgXBN4hRyBFFc+EqHZSIKfOIBzY78B+gsCBONi6MLK96FjnqtVNrhJS0d9LJeQCpCyIqZoh3xz6huiAGrqqzhqZo9LatIAINRVgLfC+YN4DKescjsvF1NcrPAHffPMN3opDFYbnCeslIccK7yakJNgVh7wWrEtWXlotcBzgRZByVgV9SWAQnM/InFBT7k5CXBYj1hqHUdBR0GrpSTiHMLXiD73nYHIlxIDna2PrgqWRWPvGSWvhUDUoKsanmeaAIgInAg+gpIrAM05x1cpGF+B5AoI6PZ4YJVet7K2afp/8rP3hWOUpBMptaqTqnLPOVefg/WRClMp3yXbdMWsvz8Y7g4im7ZxHMNHZWpX/8vTwgBNr9VrwHiDGkiJmMPzdEefz0m1MLaVzs7z38TUQkQAAIABJREFUyFgBaiTjjZOm/3QTZmZwCIAIAulzCJ46H9A5wuQnODpg5x1QIy5rwjmuSnCvTY9K7aEjMnTabGTVqknVC6uIOeFs2nCKUjGSmSJXSn/mzYnqKVZ7LbcqP9FK4TUqZaDYPjPyKIkU5Z+g95pzRrzEPnecBXpgrWKVIibhwdj5CYf9DsfjEXfHI5yhUVQFJUfE6JFdBGrtTkJHUG0dOufgKuC8zVdWnl4IAbAGEd5PINLWRSr3YaiVUyoIaoZULWDxjuBkjzVFRbA8o1SrqCZzgielEoQwI+yU7rLb7fDu3Tu8ffsWAPDhwwfknHshife+26TRqRrtfbM3ryHifc+4Scu1YPu2r5+jLUM1fvYa1bpuU3O7n47fffv6l5ywLx0/DseKd9p/CoLKHuICnN+BwgFZcQ7AeasK5J5aWotWJrVS0MbNak5WOxQ23wTmKnL/fRQ+bLneMfrYjIZTGffhGAfX+2DMP21fXKBpG6ACWd/bGvgSNceKkNIKY+fY9zbyNYGDwrvNKVLbrteQc+7lw20McrWNtQoiBMl+zxUQsoq4UiB1QRFVjM6FQZjhPePTh3/Av/pX/wM+fPgBl+WEJakcwKfPn/HDx084X1akrGO7ptKRHT/fdfiaoBpgDgJIxn7vMbkZk9cKydk2PJ3gipYwc68urKXCcVBlb5OeKIPjC5AKqDoCiSDYeUMIPRUXgpai55xRsiDGiPNzRBVCrgk5NVRKU8feT+ZEa1rLk6IYrcqqzYneC605MQSIpQd6SwlbdEtMV6hZm48haPNTcozz+Yy//du/xe9+8z2+e/st/vIv/wPc+Xvsf7LHz979GdYk+Px0wsfPzzgnQi6CIgrxj6rI5Fnbqll0364jigcyYbUS7lQFOQOpMIR34MDwWF8YkRFVhKATY3VjAgDGRTS6rhD4WlG4YmfPp7q9bn6i6tRr9UgSEDFhnu5x2Hkcdm+tn6JH8Hc43r+D/OYjQMo1KsIo0TaUXEFshNdCIKpYzelgaK/IaU04B+0AcLc/mL1guNmQ0OBwPB41Irc0oJJozUZwm1/GAQkqGwBmCKvMQje4BOysb2AtWSvWpIIlYRIPX4EDTfBHjzXZuibBbvZIzMi84hhm7BxjBiNUYJ61gS2c8kS1ca8GjvMcts1BVEaimr5X5KIcGqeVYg7WuLpsiNVIml7OiujCqkE5TJicx0QeyQmyEO7u7oEP9vhjBLFKPQSvDd6JC4IHdvsZdwflbDGRVZ8prcKRgwepY+c9Zog6SNbVwXuPw3GHb/cTfvr2Tisni1YmXmLEYr0Wn4z/2BpPoxqaJYrUipDyPt0CkKLFsw9YXUFldWC9MLKhmVUqZHCaWmCkFICNBtB+NpHbeZ7BVEApIleA4AFREeejU/vBtn681yBxnjzevLnDbppxOGr13zSpfQGAGtALPXJKWNcL8hqRkyJEDRGvtWqVuqhDG3zF5B12QUnxagdGXpzeU0oRaVkgJeMwz8AEq5Yt1uAZ2uT5IhBSnayVVMooBIfpMONYDxCTCwohIBz2ePPmHj/96U+x2+3x/v37LvPhnLPuG0oNQNrEaK9Sl6/sn+33W6emmyHRtNIIeCj9o/bguu39rzlqo5RD4+2OyNdr13P72i3Y8rXjR+FYZWFkYVQWVA4Q5yEhaNNT51C9h/PqXEmLpGvtPeFqzoi1IOXSI2olmzeUplw5T7BeS646eLl2rLz4vok65yDkwZ4gjtrpNs8W2wSIRogUXHvJIqIRP23aPkTo0UarFGImrfrzBPLqQNLsDc61h1hH3pjT/zVSJsTp50qBSNQw3Gl6VXVbFG5mUmPgHDA7YL8LABc8nZ7wD9//HX744fe4XC54PD3rz+cnfPr4jPNFU4wxZSyXiFgyvJ+s5N2hlqadUqyMVzerN3cTDrs9jtYrjuE6l2m1Ki3nTLE4Zkg2p8lzH6exktJVK8WmpsekDXuRW89BDHIVGwdrNx+UH8UBkTKIFHHrcL5x/IhaOTJdLVKF3LdChlorLpfL9jsG3TNs7TCaUzUu7Ius4IuiFY6Bs1MY/A9/eI93bxhTmHG4u8dPf/IWv/yVxzkWPMWiFZaafbpa2A5kz/3GILkNii9DAUDOGcdv3mhVU9kcwPEnACzLsqG8Pa1a7P5Svzcigv+/qHuzJkmSLDvvu7qYmS8RkZVZS08DQkAAAUBS8ETiif//nRAKySEJcoDpnumlKpfIiHB3M9OND1fVzNwzMrvnrcZEsioifDM3U7169Nxzz/Ue8a2NVAJrqnDd4vsBMU4LRYylG3qM85SUNaBT8F3P7u6eHQZqybzvhmVTZMz1dyukZf6XuuC4apHihgE7DJiuW4CV9R5b2VBEq3td3wMaR7Z5k1IKpfpKYQyRVWirer9MquPSVZDdwOiu9wzOMtcNkqmi4abJik694XZdz77zeGforGBr9WnN7tfKL/38pqKkNjJWX7oKOPrqMN91CLpI5xDVu8qa5blN19BZh+0r+xgCLkPvLM534IdlXi5HDGQbkTqvxQBZ45W6v6/FHcoi1IroKho3VWvR0sYlqeYoheb5VS990f5zRgqdtZTOY6xwFF+fUwssKvtbYsLZlfnImUVfm0VF+6ZZ0piicNOoFU2bC22Ott9zXsv3c4mUlBbfLyuakeixdMVQnJC7jkLC53qOdTPWeU/fqx3Gm/ujAi3ncX4r0M7Mzdeq6LXyxiNOe5qS8sbLbMO+mIIp2m6r6WOtvdbq6TqksbhV5+I8tkSKaBGEqfYUjQ201pKxlJLIkmuPUxXfjzksnolGoHOG08uFNAecs4v1wzAoG1fQjb/bTNnb9Nvt+W6fs/37NYBZY/KWffpaeu61FOD271ugdHu0z/gW+/Wt41cBrN78+ONSkbXbH+n7nuFwUPTb7XCdVwq8VjWoQDoTclgWC+k9Obb0VKkLwEo7boWexu+uRM9bNN0CRQNWqiGpLItf6cubFkhfUJfbm+AamyNbtFsWpK1HrucjK4vmzfIdWtlsm+jXyF5dvJq5XA6ZkKqOKHM1QUUKO5eI4YI1hZ03PD1+4A8//yN/+MPvuIwnLpeJx8cnnj4/M86B8xg4napnCSzeQb4uVmlOtWozY73Qd55h6Bk6x7uHe32+67FSvX9KIqdATrO2AanBwVcWoKsLoF7ndm/cci3XwV0glwoWAqVo1U6MykgthQypGUVWSwysAlEiKsyFUuJm57LRSmzGiak0dKyVddumyKsvGJWJaRoOWdJs67i0XM4jKahwv+8cl/PEn3/5GTMa+v2Ot87y/Y8/8ePf/Ev2999xEavghGoNsr3/JUHctCpZ7nX7/tc9BpseQkW7qyFhA6QNPLXntL9dPTa90NphKItjl9S6mqkmvHN4IxwPO+7v7+m9I57v2O/37HYH9Rsr0PU7Dm8e+P63v8UYh9Rqs37Yq5jbCM5cz69VbJ+ufGiarmYphnAr2+i9ZxsPrRjVJ9a5s51TibL0fjPV/FBydc4uml4ip7oIBqRz+N2eH757Q7icebgbyUZNFm11RZ9ioER1t/ZOrUZ21WC21LR3iFE1RU2+uWFIi9SG7WZNXzYqVNN/ylKFWq3Wd11lJgwpxGVj55yjw1BEPd52fcfQ94sFydq0W/WkJAUCloK34J2l9x197xk6T+cthkIKWkiwVKwtu4xMKIaus+pIk9TiRTcckSkFxrl2Z8hq6RCXAoU11WOLVv92xoIHqU7sZiOVWITHFWyUOmZiyVfmqOoHW41kqw/iOgbWTTuSsUborcNKonObps/1s3rplw2g957BOwUbvWM/9Bgr1XNvs1EToeC10Kb+bBA6I0TrmOepMuEt1rVNuizaP+00Ua137JcVcfqDgmFDRlLSjghO6GynAnYgB00nFlGmGFMo1dajxMQcZ6DDGF1rpzEwzzPeCofDvrag29HXKuU5tbj4JSO1zNMbMLQFMbfi9RX8yNXvt++3BVq3QGj79+29a6/7Vkpye2633+Nrx68CWP3H/+l/Xr6oq32HbNcvKR7rNG9bTKuAuXYcX9JIea0KbItkMwVdUlUiUBuzbi/oFgVvL2wDW7rAflmt0G64MeYKwGwPs6Cwsqrj2885g7T8fVnSD1RmrVV7LHqudoNF1HBE1vSFzVEftx27IjpT2stEd4YpB6zLML+oG3SZePnziT++/xMfPr7n5eWFz4/PfPzwyNPLSZvSFss86f3xvWMYeozR94rziDMe5yzOOvq+4+6w47Ab1EXZmNoI+FR7p5VN1Z2vNguWTrSVhRjtedaubWvw2YKZX2wSGjNZK/GWxV/9t0JIi34opUKxZrlPtjax1cpFNRTVS1srh8QuIHdhyswqzm/HVdWcWSdiG3u2GYvaa2GmMar5inGkTwkpAxcX+Pz4DM8zh+M9mcL+eM+Pv/kN775/wN19h/i++he5G11gWsb3Mja2/29VXnI9hkopBOIXgaj9a0DpNcYqTjXwp9r4Obfvr8xsSgFntRm2rTv5HCOkC/v9Hu89MRXO51ENWI3h7u4O4zqs9QrUqlYEbkN0XlI5+rXWc9YxENdUPpsNVWOc6wKrPQdrgE3XjdVDK89Hi2u0YpeaioKSAmEayXGCUvjeWf7tf/j3OH/Hx8d/owyssYRaOTbHpoEMhHnEVtsTV88tFJ0Xn54+MzatUYykGvgbC9EAXgO6Eic1Cu06ck5LMUff99r8XJqeqxA3EogDjn7f0XvLrh8YfLekSF7qfABlzkKM5BRB1MW/t+qQPnRuEbGLIs6qTNCuEXrtdDMW8UypkGMix0COgVRNOkOMKhIviuG0AbMyfWYMSyWelNVp3xjD0LnK9DfWSuUD0USs3akWEsi1ub32ktX5n1H2BwolgaSymIg2QG2r+Y0Tg3RqdbA1jWwarU7aJtwsa5bvav/SkrDZIq55T60gwZta1UuEopvsiKY7wwa8qZVFm8KiuihrNpt+7cDQjoKyb63QQSr4csbQOcfQ9fSuq4BdiJs0YpFMtkIRTQ+WtLab6fue/U6zD8fjkYe7A3d3dxwO+4WQ2GYKSH+ZibrK7NwAmu3/b4/bWCW8nrZrx7fed6v3un3Na+nKfzapwH/3P/z3ms6BpdJES/Wrl5RzdeGqYERqSqz9P5dl54Zs9SFtR38NiHJbMJtStB31Iza+Buvf5eZ3Ns+pj6nOpT5FNs9bnn9Na+r7Kiu1ZPTaa4EkWb/uAqp04dLrxFJ1oUxMAapWqBSoDs63w9I4DyaA6WEKPH944h///Ad+/6d/4Onjez5+/Minj5+5jIEU1TIAY+m7ve7eKriMMZJypJTEu4fv2B+GpSXF0Ft65zAWTk+ftcIlVsAiBmdV3O/3x4WZat9Dq7MsMebN5FAbCl1cVlC1nSRNZ1eKVnHq+zUbj8g8bViN0rxTPKB6jxYQmiDXudVw8gpkG01Niwi984tGA1hErq2tg9SUXZv0JYuK5Gu7FG19kRhF2cDOOsRdMM5yen7i/Yc/8+aXd7z9zW/47u07Bdpeq3VstQ7BCmBbGez1wF3G8w3QqtWsQu2L90qQ0N2xab8sf1tAl1eNCXWsLe9b51qK1ZLCiqrao1aWOnfAD4MqaYtQPj1yHmd8N7C7O2J8X8u1pc4NIPPF4WQ9L6xcTa2c14XC5FdCXL0mdvvG+Xqm9LaNl3WBWJB6zjDPuLknXF4oOTEcDxRr+Fe//Vecp1F37vXSGGM4T439i6QwU5IyU6Xu7j9fVPD/y8cPPL2oSe5lHKtRY1gAVbsPKSVKzuR5qg7chXmewK4pyvFyIs6B8TSqI/ukBSF917G3PUPn8cbSW6eVqZ0CWe9XrzhvHXOKWNFSfes8fecXps1bZSVF1Bsv5KldtWXsG4QsnvM4E+eROE+QE6Wa1YoFMRbrDN55ysI2CRRbDTVj9aHLxKjiei97DJZcr/EC/qNucotRkI91S+Pgrc4n17k7xwgxImPElkxsQFyKjjMrqkXKyiDlKi6Htvmr71ZEWxalApOQraUkSzJUv68V4Gu2YqcsaFbdnLBmpJd4t1noE0X5dtvYMVurLf2VLrJtLrSaL+GNVlPuei3w2Pd7+q7TNHVR8NQ2KjFnIknNUItaxa4a0479fs/d8chut1u6ZAyDMnZLenoJN69X1d2ySO1oz98+5/r1q1ThFpC1DND2b7d6rtfe81upya8dt+/92vGrAFbs9tgGlKzBbUFSKU1ZqoGtsTlbYGVqBJOKJOTmS1eJwnKYsoClUtYLKSJtzVkWpfYxrMTQerwCnuT2cTYx+xWQu3zV9rmbU82g1Vg3n9F0GNvWFxqItNR5abaJ4tHb0y5xRqQwTiN//PmP/O4ffs8f/vhH0ufPfP78iZeXEesHvHfM00jKmf3+WCtGZsbxTIwTXefY74+8++6Bu7sjvrO6zkumpJkwzVwuJ0ptzqnpg37Z3fj9PSKy6OK2dhJTmhZvqeXegJYKl6YnWmndkGZS0lLkxkw10FpKYTqfNu+z0WWUtZJQd2YtFbtN3a2TtaWZrLUKjMpG79J2TyLL96F+WmYFgDGqaWpfy9pDUM2J84bBWabdjvP5hQ8//8Jw/B33777HPtxz//advpmpu3B0l11ISxVWPdlrQMVmYC1gSAf2Ypx4A64KRQcaN7u0omOyxJXVoBqXLvNO6oIm6NzNoiA9J3wbmhUUjjFwurwwSCHmu2rEaa42OFnKYp+wNF6Q+p/S5skmzbIV35vN7uI2O5HM+ru7fiybdZFTXVFhobxiAKN9Is+nxDxe1K3eO3Z32j/Tdp4xBIx3+K5TvZoRtWmIQQ0kU9YegzFxnLVJ+uH+wPl85uV80h6bMfDy8nK1mOScFzF3qdWRT0+PpBShaFpw8B37Xc/ldObp0xPPz8+Mp5G+65RJ9AdN0c0REzPZelw/KAPSrXYLh11PoOqRLOANQ692AY0p0xSrIAlinFdwIM2MWJhTYZ4CYQ4QE050kydWW+NY7zDOaR9N0abcOWd2+4FSdlp9NwXGUTs0xBgr0+wR42scXRnkxuiZ5hBvt67sa5V3zuozJhIQGZfXGzaZDND+rzGRa5EUsGwCxa12AVSfvSwVkJTWU29cwFqLIcOuV6Y0r2uQqZ5nr6WyliFtzKKv2lZltkNT49V3LNW9mLXsB19Zp4HeDwo20c1ic5SfQmBOMxIDIWlxRl7kFqs1S3OP32Z51thXO3lsPCfhS3bqFuhs//76Yyt7vn2sXZNm5n0Llm4B3tV6vzm+dc3b8c+KscKq0duCLgzrIrHRrlz1WBRuxEPt9fX3bVngFgChVSvLQxtAA6yL0mbTv/5+ezHl+nW3x7L72EZo1oUNMFcM2/XLzSt/W468uRz1/FZirFtfn7PuzGsXd40SF8r5hT/+w9/xv/8f/5n/8v/+LU/PnwgX+PgyayVTHDFGF4re9brTToEYRgYvfP/dj0vFy8N9S60ZNZ18eWGeq9+Puac7+GqR0DEM+6WZsCm1vUMtOkgbQekyoYzARqxrl4CnEygVbUBacqweYtXnRwTnPMY4nAE3eS2PrsLcFnxjK2t2RosUQL2+rCVn9eQy3lKsq8BfjStJWq2Yk+7wYi2/z2KwXY8rGqzSEgSkBqhMCMoc5C4TsoI4YwUbAjEVnh+fuEuFH6Rw+HzPP/79/8NPPxxARtgN4Hv1MCtow2Lki4rV15mqL8eTbUKY7fgtN3/bvI+0CZM27HEuLIhPRAtLpOh4z0Ian3k5PXO5XJAoHO/uNK0pA9PLI+//9GeGYcfOe7774UfUUVfhEqU26TZt49AWuwbi1LcLZD1d1o1VIdXN0is7Urd5zheHXb53KgHjGrTL4ApIZj5deD69ZzydeP9+psSwsBEtbXqbgtiewxUgNyputyT2vcObPb0VxnFkqPHqUvs7LqmonNmhi9zRGD5E+PjxI+Ol4O469sd7Sun58Olv+fin93QI99/1HHDsXFQLkRyZL2de4gWbJ8zdPfu743Kebx8eUM1RxFJIDoado9/39PtePeisRaJWP9+ZQTMO2VCsYaqLsi8vzJcXxjBrdff+gPieLPD4ciKPEeMSRRQ0YQx933PpOzrnkZTJJjD0BTcHzk/PxPFEqJ5NuXjmNGKK2r7MU8YLSKepy30/aNoSTSWmnIkFitU5IFnAeLWnaWx8TlqBmBLTdCHExBgn5pAQ6+i7Hf64U6Z921aoqG2Q954zCUft6hEjKc44hK5zHJ1WgoppfUkTmUyxUDrVgpqEroFSsBhtj2MOiAQuptDbM70X+m4d3yZppWiHkr87m7nrEr8dDqrrGw64Xv31vNGKUckK1F6mCy/jhVEy5xj50/MnKCM5Fl5OGSOREEbu73aqD+1fao/XPSLCFAPe19i36XRQpBb2lKK6sry2tWkmvaVkTWOm11mkLQnSjuU5xVy5z98CtwYC2/nc6rGuP+f6b2uBRP6i1+/Xjl8FsHr50x+AFQ1eXbxvUG5mk+L76gV/5Sjm2xfln/KeXwuc18+5RcirVmf7t9sjf+M9v/V5RRxSEoq2srrvmoyVQo6BX37+A3//u//Gf/m//m/+7u/+bq0E/PmRaQwVBA3VBqEwTRdsFSr++NNbjsc9h8Oezuti8Pz5Zz59emQcR1Kq7FSvVYBvv/t+UzmkC05rYDpfzlVArdVOxqhQuZkLLjoZv173HDeNMSUD/XKtWiPeUqj+XZp6U/2O+s603W7bfTUGyVrLbrfTfldGNmZ3/cpQNQaq9qBs7xNioOTV/O5yuayLZl53s6r90sataiMRFn1Ka7EyZhWNny4vhKg6pqenR968feB8PtNXpqAYFayK9dq/bcHsm4BwsxGwm91W+xdL5LVjq5d49fHaEPpq3JYbv5cKMk6nZ87nF/Ui23V0GIy5cBlnfv7H3/P4y0cwFlsKebxw/+bNwigoS2iINl/NGWu9phJLqSldaPMq53VOmqYf+cbcfS0apJKXVKitlHWOkRRVVzifTzw9fuKPv/tvzOcTMc6qv7LXVXJbELRlnNr5LcE/1Wu+SWO4nOlF6Pfag23n3SKTaO9jcsK5Oz7++QPf//CO++8e+Pj4yJ9//hnz+IE5xbUirxZLfPfwhkOnbVFynwiztiB6/vzEy8sLx8t3y3X4m7/5G2UdPzsu88TEyHcPb3j75g0PxzsFLAipBAa8zqu6oSgpEZKm8F5CYo6JaQ5MYSQ8PmlT46SNwOcYKkMX2R323N3d0fee509P7PqBt/cPmnbEsO96fvjhB14ejZqLjiNmHrHe0Lov3A+G5DuM6SoA6Ol6TQnmrPHCZG12XMhXrEuq7xGCirTPlwvnMGOdY7c7cP8wYLoe6kby43RSRnAcMU71u7GyNg93R5yx6mZuwBVRdvWl8MuHz9plYtdrGylfBe65sNspcGlxqjFozjnOMWGtcH/cE1LkEmbGTcHBrvdqe+EtO++5P+z56d1bftrv6fsdru8Wl/4SA05Uq+a85Y0/0O93vMwjTGf+42//A+IDl9NZ1wEx1VLhmq1sulkd59fA6GqcZ+0m0PSbsK5zpeh6tZXuvLa+bgHTa5qoNj9aDN5mD7bzsb3H1xit7eO3zNxfShf+KoDV5fPjV4HQt0Thson7/xRg9bX3+0vHa2/5l5Dra8/Vc/0SlX+hBfsqXfUX8sDioWiDUCSp/4oUrGRyCnz44+/509//V3754z9w+vSBeB4pc2AcR/b7fRVlm1rWrEUBD28euLu74+5Oc+pG1IAwxplPnx4Xt/O+7zke7zkejwzDsFQaaaBKC4UcY9TdEqb2BquLvVvpYxV72kV42RZ7XbTi1cTRMmGzEpy156Exgvc9O3FLpVg7Bw0sa9qusWr5ljWr9HMbN+33lhr0smTNNDNd9R4Lu0Ob9G3RtAtT0Rpv56zByRq3XK9pmnh6esRa4f3Pf+a43xHjTAy99pi0Bms9IUWcM0vOeQtAFn+rzXm0HSJAMte7vC/H6etBjbIWeSyGvJsdKs15uiSm8cR8uRDnmTHNjE6F0i/PJ0yIHPqOUoRwfubyeYcp1R7F1Wo8Yyh2rp9tlmu46L1MK3e3y/mswW9NX9zugK9A4CtpgRZE1UVd78c8jlxOL8zTyPnlien0pNYB1dQ3hLSIzdsmYznPZTFpKdZNTElNY5MRtNQ9kxcVhIggXl+/AivVNokIc5pJZPrBc39/R0iBv//9PzBWnZYa6vplUXRE+s6rR5OJxKgC8SKQNnYLt0U+ne/Y9QO7flgq0mwpGOuotXVqt5LXeZIQxhR4fHzidBmZQsI4i+8G3NCTREgpElDxON6yf7jju7dvCWdt3O58hxNLmmfGcUSSGp+KFHKKxDgvYEhMIYRd3fisFiPGav20c11NcGhjZ5q0IGu3gBzi0oNwrilaTd0dcN1ALHA+XwhR21g9fj7x+fmJnDPH+zf03hFCZBxHxsvM0HsOu4Gh67A1FVxq4U3f95AjhoxhUBF61WxZYcnYtLGtY6H6loljGDqGoWM/rL35nBVcETrvOAxq+fDuuwfubIetTdnnmLElq5O+iBaZWEMRS0mBUUBS4uH+nv2DJYUq10Dw1vL27VuOx+NVBTdwVUTTYuC35lppGaLN72XDyt7GnqXyuDFhLfNjviRZXtNSLZ+xAUd/zRp+uyH9ZwGsUm3Muj0WZPkt5mnD4N9+0SuTw9vPK1/fiX/tPPT464zEbo+v34RvC+DSN4DVt8RzuTgoEXUmDRQiYjJFCjHOvP/593z6+Q+cHj8yn0+E04lpnBEswzDURX2kpFSrXHp++OEdx+NhqTY6nV44X14WkNRAyeFwx+FwWJrDzlOsTFFYmKqlcsRtdgJVa6FgpApN+ZJhaeAqZ+3pFWMkpuqplEYwSvULdllgRSzjphfglg7eVn2+xi4si0NKqzdVuS7V9daQq/VAE68vvlDkei4tKDSfrG08WQNQo6znWZmry8XTdY7Pnz7w6e7Afj6y3++xtaEuKIVSAAAgAElEQVSt9QrESvXt2J63eQW8346aYr4NMJbn3QYrWbUqVwwsdjG/1ecn5suJFCZyCOTSM5/PiBim0wudhf7uQFUwU8LI5VmZnm7o1+pHq/qXkreBm+UeLL0pRZYNSimFbDbAiq/HhG2rqO3RxkuzqJjOF8bLScfyeFF7B1lBmAKjCphMZatFCyqMVJ87rsGsiCB1Y1EVfYiAh9q/rRZbiFmqBKFuEK1qdIahYxxn9S0qumD3Q1e7JwQt/696GgVajkO3o5RMlEA0UVOOxiJ+vRa5MiHqBaaVu7u+Vz8sMQgFZywiUAQsjoQQRCt01YRSC5ifzhf1fhPDcbfn/rvvuLu/5/HlRMiFvmgj7ksIvIwjx5w5Prxh73t+89NPDM5xeX5hOp3IIeKN4Xg4kHNiHM9M84VcIjmbZfM0zzOds0SvvR+LMbSG2JI3c7uagrZ/aQ5LKxfnPPv9Aes7QoFpHJlDUpbV9IRywvqew27PTz/9RL/f8fj4yKdPnygxMewOHO7ucEYIlzOX6cR4vtC7QkmhgvK83Dfn7SJeX1hyI7haES0VeyUpOCv03i5dBAB2tahgcJaH3Y6393d8dzjQp1X/aUthV0Xvg+3URsQ6QsmkImrwnDMlBlIo7Pd7jsejmsGSqzdh/8WGpc2ZUgp58QXcxJ/K/n59Hq4WGe13+DpY2m7CW0zeCtzb5vc1YLX9+WsxsK0VDdD9NWlA+JUAq5KmL//YTn57U25wRk6vI1Jgs4v+J55L+VL81n5etBivXNhv4dfbQXF1k79Bn8k3UpY5fiP1yAAS6r+ZUmZKtWIoOfDy+T2X50cFVZeR+TITpoD32kl9mibirD3d7u/vub8/cn9/h3eGkmfO5xNPz4+czydSSux79TAZhv3iZyIixKAmmg1UNbpYZB2oLWBb66BRrQKtq3tOq6UCSXeI10FwXvRNKdUJUwzF1NRjTbFMcW2suYKzL3PyIYSlQqZN1i2w0nGwTuB1oq2WBLcTdTt5lQ1si7VBzMpglFIIKWGi9rFru2UrwjRNPD5+opSMpfoWWYvP6gPGDRikvqtKnVY49cWWQsrV2P1izH+FIkfSQrlczTVZ01lUe4A8z5CCpq0o5HlShmqe6IynH9ReIyEYEmnSSjkrm+IFO159zmLkmLZtp+zm5/bcfPW3LYBqY+W1+d4eV2axprDHkbGmecscKTFhsdrVIOlCsgXpt3qoa4uMm3TDDQj+2jlZkatlKZSIEcvdwxGxZ56eXjiPF57PL1jnKKKdB6ypJstoCtvveoauV8F7TNoup+vodwPiV/H6pVYrQq1sc0X7CzpXe2KI2mkYNdBNAoEMWEJSBqvkSKqx2vse3w/c3d3x8PDA8c13nELA9R07K2RjOV9eePz8GWMtd9mzf9jz9u1b7vdH5vsTnz985OXxkRJGvHeIeC068UaBpVC1jGEFSkkbaDfHfTBXoCqncJXOEtGqX6w2STZdzxyKVmomLeY5HO+JBZ5iRC4XjHGMIRJOF6Y5YqxnNxy4e7jju4c3OBFejGW+zJQyEqNeV0PRPn2myqlw2K7DGZZNQ1vgQwjqgSVl0c06K/TdupQ7I+y849B33O0Gjl1HZww2Tqg6UTC1EXnnPDs3aAFNA0N1nJmcePr4gefJ8MMPP/DwcMfhuMOUeq4bMNMYeBGpRfppaWmzhoY2L2/YqLI+vj1eAzDbmL197y2Y2sbbW4bpFlRt3+u1ufcaMPtrjl8FsOI11+i2AC47Yb6QmG4DFXKNjFP6lj7kG0xRKVX3u+Xp9XzSK3qU1yjL28NwfUPbzrkF3/pOX57KN4BVW3BeO6w4xCiwEiYKE7kEKApwnj595OXlhekyEqYIWfDWYzvNvRtgv9/z8HDHu3fvOBz2lBxVAxFGzucTl8tZK4BE2O817dd13SJMD7M2En1+Pi0mkvr1V5bKOY/1mp5rIqFUPZFC0BRGDJm0CY5zWJ3Ct5V4pWgljgbGunhlWcp/c1nTc22itfTeNu0TY6zArmqqFh33TTuD7fukTGvw3IIMSRfevNwnQ8kqajVWmQf9jPb+CeI6RmJUgNvSEDkmxsuF/W6n/dtSqs7Q2tQ5b8bhbeAw5XqX1Ywit89ZxtxXR9V6HUBTKlsAs4jKlyBWwSKafm72AsDqORcTxRldfAVs0YrPXO9rDKYWAhtyDDfnIXodvtCBXTfDxazf1dxUKTWQtQVcy+O5OftnYqju+bEoTZRbulHUsBUBiWg2aZ2X23HVhK9bwH51/SsANkau/gZqBquL6brZVDa0/mrRtLt1iDVMKXIOE67v8ENPRs1Jh6uG4glvLCZn5urN1XvPYbfHDt3yHVo6rJRC5z0Q6KyW7zurvkwG9WwzFm0AXjwi2t8wRksyWpV33O8pYhmGPYfjncYM6xavqIi2G7LGE+aZz4+P3N3/wDAMDF3P3f6AGQZ21vPRGF4eP5Czun8fDgcOxx3TdGGcld1MCDGlBWS5yhi3gRFTrfKrzHdJmRzT0sjbe484S8lwGnX8dd6z2+/47vsfuLt/w2Wa+fnlhRgzzy8vPD3rZjNT2A87jvs7tRLZ7RhchzdWzXxzYT5/WAqbdNNetM+sMVpwU6ULK3NvibMWSKj+sNA5S9+r/UU7vMDgLPvOs+88vbWUGOhdbVYvbgH6zhgV+RuzVC73NrP3av766dMneumZpuOSonPWQkmLhrAJ0dv8saCVlt9gpq40TmULZr7c3N0etyBpO8+2x2vA6vbxrzFW29i23YzfnsPXjl8FsAq1HcwW7tx+GXnle2wZoFtjz28tETG9Lti9fc9bBBvydXC/ZSW+dqyFV+358csdafkS7KX89ff81uelNONsqGnAQC4zJSu4en5+5vPnz5xOJ6Yp1MbQls4PJFeYsrb6uLs78O7dO2WqOsvT45nT+ZlpGqtfVFoc6VsPrHa/wpwW35zL5VKZGr9UY27Tb1shbtyYh05BtQ4tKKZQBaW1P2RL87X03HKPQqi+qVKvhS7SxnZXrMGywzGr2HGZgJVZagvQ9lBQxQr8c9Zqno13Vq7C3ZT0+tZRoO9tQcq1aaWIkGp5eatoSykxz2URr4YQKDFBUgfpEgOxLuTCWl26DTa3x22gEFnr577KTH3lyFdNi80X82ZJd5bqkSM6I3POizNzyAmfLalE7blYtK1HKQqwQwgLo9TSfg2YN6Beypdg8iqgtm4HGETyFWO1tAIpTf+2sSlpvQGTpvGU3bIY8Wp0m4SULLk43X9Zj7p0hyUWbQO+5FybWd/co3beUrRNFaUKfOtzkjb4NsYsrOQCzHLWDKoIJWf2w5H98R7bD9B1ZPOekCIf/vAn0mmshqNVozgr85FFVJtXEs4IXe9qq591LLTP7LqBOCf1oDPqldUWfSPa7kSMpjWpACv5RMmOQ3HkEBHn6Yc93W5QoCGGdw9voBTc+YwTw2Brs3Lg4e6eN/f3DF2Pd459t9M0ZCmE02cu40QphmGnTvCXi6O8rGtJ24DFGCug1xRgMbJ0DmjxpWUkRITBd+yq8eU4B57PE0M/cOz37A5HHt68Zdgf6S6XRQbhbcc8nxfD4Vy9wTrn6bqB/TDQGUOaRuIcOM2PlTXSar/eVWNRZ2qPRYtzllU7WDBo+i+VgrdCtEY7XfQrsOq8pfeOXecZalWlzXB33Fe7G6/xZZzIQXsGDt6p3tUY7TTgLS9x4ufnR45+9RtsMcvkbdFKWTabSyz9SuGLztObGPUKY/Uae3XLKi2xtr5PA3q3WOA1hupbn9P+3+bZa+v8PwtgJdYQQyDkXPP1ojcLveZSyqbqa9W9NKTbft8et2me7f/TK7nfbQDZ/r5Fu9+6Ua9RkMtzFtD05c3QxdQuC9H2KLcDkNfR8+33BMMUEtao/qgwg6h78jiOnE4XBSwxkTIY2+O6npTVa+Xt2zd8//33DENPITGeZ55fPi8aKRWqJw6HAw8PD4sDuTY3DovwM9QGtLZWSjUgZY3m9o0FimGOWik4hVnZAYHzuVYYtl17LhQE47W5suqclFZuhn2qnTOUsqYBlp0RYWGhvkXrGmMWwWgDYtsxoW7dZVlQ2tiLtYdZrAu9961xbqSlklJS/VVK6cqDRkTH3eVyqg7araWJcH5+4ZefP/A//vt/twjvW5GBFVHg5zJxc455swBv2RFp59yG4lfA1MJK3Yyxdg/1XqeqPahNf+tclOotVUrG1EU/Vk2cmMKUWnpM2YT9/cCcIt71SM7MsaYU0BY+YIi5YOnY3rac1Vm/eZdtz3Wa5+VeZrOy2tb4BVyJiLomoFWH3vVXAK5QFG8on0LKiZQjuRRySYh3hCnhh6FaixSKFLxRbdzhoC17us5jjVmE7GpgGRUsyVo9mEyp+h8LaWXtqshK2Sljl5ios4KadsmI75R1EMP923fsH97y8OYtP//8C3/6u9/zfAnErGnB3U6tLWJU/7Sud5RSQWXKzJXxAbDGKFNVx9WuNYvWmbc0Xi4FvHc6L43ga9GKtw56OJRMHrSVmLY6crgimBi5H/ZwTNiSrww6xVl+fPtODYj7AVMy8zgR50lbJR2rd15tGiyibu3DMCCh9YddGxmXUnDS2hOtY8luUvulrjNdpyJ913msdVz2Edf1uGFPP+zofUfnHLkfOO722jx50DY2YdZ7762jc4aHuzse7o54Ec7zrKzg98KxmxTsxaT9+6S1TFKj4q66uK/MuLYTG5P6mBkB5w2dNex3wzpPc1HWyqsBrKTI27ffcz8MuF67mKQ5UEJkDpHeacu4lBLdcGDvDOn0pOyZc4gpDDutXnSi19I2c2p0/t0yQwtL/Ip29Tb8bl9b6nq4/Ttct+Xavl+LV6+th9u/XWW36rEw+pvYeXvObc5+bX3/2vGrAFbnGJUl8KobiSnpbgywzmk6MBdSAysoqxCzevksAX1zyJb2Xm5AbTVitU1MyVvA0piCW9C01ZW0z7gpKxf54sK3o5TaGqCUKz3V+v4rBXp76OvW57TP0tdfD4btZ5os5GIARyp151i1U8/PgaeXicenMyEJh7s3CJ5pUpuFf/2v/zv2+z0icBlPPH78wPPzM84bQlDNz3GnmofD4YCIME+aDlPQdmIc14XNOb+ASyMO7zRYKJC4MKeJEDTFN8WgrWhyJhchx8YuRXKomhrJG8CkoCFGNcJrJc7bFidIruzSmoIyZm09YezaFLqNDevdMqFmmTYApQrgq7njMlmNNsEFiEXTJ1by1Y6nFCEEZfIoZtF2NLDinOHh4TtNRZiWVoFSLPMYeP/LI50fcLZnGiOUqaYKOh6fLvjh7ooBhGo3sdU/lXU4b1PsXzBZrRLpVtSI9mIspeAqAzhNLY2/Gr0irVAgUUoil3lpv/E0PS2g73Q68f7zSXUjRqu8jGizdW1mu9d0sbWqZSrX7KGCID3XGDMx6fhsPQ5FtF1HA1KdH7DWL9Wm3heanL/zZUm9KNjdmuw6rLdYrwUlQ1Hn+d3pBE6Iaebjp0/87ne/4+//23/m6emJYRiYpmllPjci+JbebWMmpcQlz1ePL0xr+TLgb++XzXMF7npPNaGk3SvEGs4vJ8xux+4uUS4X5piYY+T7v/kX5BTUrR3w3uK8pmI7t7Ifi74kAWSMFW2BU41+jajGxwt4ZzTNXf3GvHdMXtNs+96xr9dCe70m8jjCJPRdz/fdwMObt4TDHQD9Tm1FfvrpJzrnSJdnnuZAmaNKA+YJa2A/DGqW6Q2ZtLDhUmTZ0DaA1axemiFwae71OWNKpvMD3ul8bfHBWYcbHG/vIRVdm+LpxDkVStBeo//2p99wvrvn6eWZ5+dnztOI8MB+v+df/MvfqiVFDFwuJ6bziTIHvET84bCMC22HU3vTdpa73bCcQ1tfYsykyRCNIUquRcCR4DzT5p7tO0/nXWUWhaH3fP/uO+6sFvaUUphyorMWsQq8uq6n2J7iDMEY7o9Hfiw/8vPlWeNQSqrHk4IVBcfmZiy2eBJrPG1FPNckgwahq/VzIyso6FqyBTdb9uj20I27Xe7zFgRtNWC363I7tsTFlun+GnC6JVe+dvwqgNVl0gah0eoOP0YVWmtAXRvd3pI6TUvzlxDkLevjN6XxcI2MyxLI5Mv3kO0NWF9bf6KNm+3FLwWcee0yl2WB/fL8m4Yi8xqo2j5ne3/Xz02qWykFKWppkGJhnhOn05l5iqiAHEA7uUPmzZs3vHnzhvP5xKeP7zmdTlBLuNXrybHrBo7HI7vdHlMrjOZaQTOOM/McN1omDWzOdmvfx+o1lXPh5TKquL1qOEplK4312sW+5JqK0cbKUgpzmhaRulTPk5KlXve202m7IhXRiimwodPbZDTGVF2LWRtt35SXt0mtY1EnbkyFlFZhNdWbBtQ3c+lBt7H61oBfCEHvRWt/0XbIUu0gxNbKH9r5K2h4//4jh8MB73v2+4y19VEDFAdFKyGbPYWey/UuTsfwbVDQ9jFbRvFrlHwDsaUUxFhKjvVaaKrl8+fPTJO2T4lpJsaZUhK+a2XhA+eXEzFrGvl8Ptf+eQWK2mIY17HbHRiGHYe9w3vRBdso67UEzuoF1hrnqhZI09Tny8syr2YJCoysZb8/0HUDzmo/wq7TMWrEEUvCF4dHcBhcZeIMBuv6BWB4Ud2nplT24NW485ePL/zp54/8r//b/8kvv/yCMUZ9jcx1mlTvZ1wa1xqjvTSfZ+0MsID8vMasNmZvq2T17sW6sdQNQqhp1CIrQ/AvHt4x9B31j8whEHKi91776WWw3qrZZ++QTUV1Z51WEkpaOkjY2jRdlpYWNT1kUOYF9YpqKjBjDHHKeCdQbI1dUjc8lphmSs6QEh4tzDjuevb7PdSG5zmqptCKwTpLb3vAk0U3T5lESFnF5t5ftXjaXrOcFUy1tLTGyi+fZ4zBiloLeNdhjCPErM7vIZKmkSlrXHFE7gbP3j9wPwyM86QxpvOYEAhJr3eYJuI0IiWr0XFl+p0zmt50eh3b5tO7ar66gBb127Mpk0Sfa4t2i/CbPrbtO3jv2e12HGujZC8tZbZ5XmXIrKhIP9Rm0c567u7uuL+/J/fpKjbampo28uWa+xoj9OXjNyCn3K5tXxIGrz3ewNP2vl0TKddO7d86bufVbVbqL53P7fGrAFYfPzwtFyHVlgEGWRBv88awG8pxuzO//R1Weu/2gmlwfE0T8nWRWzsy1yZjfw2qVcDQFle3eU1dOuNKpW6PUiDdGi5+ZXB98fkmkHPEWO1JJyKUZAhTZDxrKklE8DVF0TnP8WFQR2wR5mnSXmWXk/o0dXofBq9VgsfjvQbLUEhJmOeZl5fzlZVC+07eqc6g7/vaQy8vqcJmqpdyxviOzhlMZRRCiNpQNUZKWsX6prSWNtqyRkxLpa3gV+9luy55ARTNqPTq3uS8AL4txdzYg+01XgTtogxqE/XGmCi5AsCiC6dbhHUNsGgQGIaBFGv6sDZ11c/Qn4duR6m9ECUbqI7tH95/4u74wNAfOdxlxFYfGhLOdZjisTic7dbm0JVBWkkrPW/R06qjUFvINPC4Zb0aQNsystbE5bpljKbpYybOhc+fXpZxo6nYmULmcOg5Ho/kCE9PatHR971q8MapMkqW8ynS9wlbBgbnMLlHUoexnbK9RTdeNB1SjlA8MUzMU+IyKsA/naZlvEQbMSZUdqWn5ET2UVsVZk1lOieU7MhJyGKV5ZVa8m4MiEewWOO08CVHxHZ0YsALGUtBeH658Pky88tn/Y7n8/lVnUZKid1ux93d3dJX8tPTh6tFYEsWGmOuBL7bwxRdbJ3tiCUTUyakSKIQszpwv+0P9MMB7wppCpzGifPlwvGHd3RhIoSLav1sTUVuPtw5hzUOY0plB/PVeejcUPYYuTZizEUoxVLEICXQh2Y3IhSx2MpMznNtT5MKmII3anya54lcMqnuWKXofHeVzpVaWRxyrlqptLhvX8dNe7UAXwHWXK7A1fYehRBqT77CYeiZ54g24xbVv8ZAYibWRti963C7jr032odQhHE8U6QllLNaKYjDlIyxOwWj7rqZtXNaGGCtFjPod6meeVaQqLeobhuxos2Vt+PFGDXyfHh44Lu7o2q9pKxgUtaKN28rM2YcWYQiCTEW73vu33zHaNRd3d6skwWuxvYtw7SNtcsaW6PO9vhyjStffXz7ftvHb9fubWp3C8Bee7/XNFmvra1/DaPVjl8FsPr55/eLb8jlctHqqUVvUI0YpXXotktvJPkK0AIWMbWILGh7uShpDQ63DEU7Xvu5bHpR3T6nHbcDKudMaj40Nl29RntEAaRX30sbuK6fdQuhFmb1i9fNupNPahAqNlNiJodMGAMpBJztwGtD5ONhz/39PW6/4+OH93z+/HnxpmoAwyL0/Y79/kjf7SrTEAHDPMfFGmDZ1dR7NAzDcv1DSFwul5ouVLaqAM51uK7Du15blxRIsbX8qNV7taxeDco1LWeyBvpWLeWXMnFNgyi4qi7nJV/11GqAJrMCh5Vp+9In7GuU8SKODavGSquCVjo7IVhT6i60w9tmIOkXY0OAOAdwAxRT6XFtXF1K4fl85vH5mcPLC/eXEWd7kkukbMBAnyziPN70dE7H/lxmgqy9DpXnufkOFUy1a7MFVq8HtKqnGyMZg0WDfImJOEGcMmEsap4YNBXY+44UIM0Q5sw4Box4UoSSDL7T1kNFDFY6nOno7B5vdhgckh3F1hQC9f7YTDGeXGL9HCEnIYZUAX/9tvUrxHo+IgGKJVudPCWrt05OkMWQpOZLg7bS8RgFXEUXBcUclhy02KJUXZ9znS7gfiAWwxQLc9Lr0gJ7A00pJYwv7IpBxGkTYekoqA5t8S66ndj5euGAtYpWjKl6LC3nSDlpo+wcOY0Tg3FYcSCaqnm5nPlt9xtc15HStFynXBKyKaQxxlQWqrHCK8jOlZBt4Gph1qq7eYvLRjJkg/Na5amMrBpgOiO4vqOzhpx7be3U4jtQ0qyWKaXobRGz9MTGqjt/yIGQZmJKpGoDsra+uv5nNhKR6zmtxQOqF8tL2hB0H+V9R8mqA3OKIYlZ2wIxB20l2WVMKbis86wAvqjtgDNoj0bxmAZwZE1d+s5qfakI1skil7BVs9iYwS3L1O6SEVl0SbBtmuzoh4FdKy7KARGgyi1aDHTVNHRZA4satiaUmU1ywVhoPVpzVtublgrcaldLWStYb3XODVj9hSza8vxvPXYLomCr4Vo3yLfv99q6fjtGlrVhk8b8a5mqdvwqgNXp6cw4jpzPZ84vp4XG99VduYGqvpbzt7TN9YS5Xgy8n5e/t0Habr7beN/cmkNuAdf2dxH1Ff7a0Z531eSziYjrAil2Fe5dT+q1L1k7SilgjVaxiFw9vup2XkfWWQIpz4hJiGgjUmrfuzDNdM7jfU3PWc9hf2C/77nkwvv375mmSWnm+l0KicN+z+Fw0FLooFqoVskWNo1JdaK5K5YqpcTlohWC5/N5aRdTKJiNiLt9t5byAVOZKAUZ+rgsgU93yNoMGeMUmEkD5aa6GOv1mcJ8NU4aCEuUK1CxvZ8isugxYK062aYTAWWONunlUopqBGVN/YSs6TLvc12EZQmq0NKdClCXFjq1qKFkXfjPp5HnpxOn88ywyzjbUTJ0WCgWUxxOOjqr7YgoFrsRfW4NZ9uYbwxhuwbb63A7rkopFKd/iyYs2ijBk5NhtzugoFews6YlC7mm3hzWdjjjMQSc8WAFvOWwP+JsR0oFIx5vB7wdcKYH0Uq8lCdoLjyVPSmltr8oupCnVGqlV66gH7KpYF8cwQVE9PnWlnruzRct14WjpalqsBYq0Fj/WWnszQpYW4yKBaaYmKKC7JybA/va4ialRJeU3bRiFHhbvwKTtqCyVrVJga3jWNtmFemg1NaNRo12rRhyTdcIjmmemWzH0Ft8ve+XadQNiRFl1I0htya3G8uI27ZIW92KLvSt8bkCkjVWVU8jUTBcTNH7TVFta62aVRdx1QQ1xmbLeMxxQlrqHyjFLDq/JFBE+4um0vp+rudpboDUF0xJ+05lIwcRMMXS9LgpRMYykqNW/ubEsiM26k9ALwI5YaIWQhSrsv4M+P1OtcJWlG2qsSHHTJB6jk235LWgp+nvmr5uqxHesj/tG916IeqmLV05x4sxSFnXkvYccq5rqdU0qjHYDCUGQgyIMfRdv7D6ptb2rPHu2i5hWwCQbsDPLdO0zp/rLM9fA16uCIoW31JaYtkyb7aA8ZXXbUHa18DT9j1uU4NfO34VwKppNFovt5QSkguh7pSstYtYThdRWzUsRkeWsDhIt+ATc1wnaG0w2Z5jsu56rVWNDWUDXDao/RrF3xKU66E3SH9uJcelQKsxtzUFaKii+br7WgT328+vhyCUqO+1HRgaYOpNzmWpwro6H5MoKSrzZwu0NEoupBDZD62B5q76tXTkEvn48VmF11YBZ87V34XE3Z2KMXOCaQr1nq1lzG1X3sBC36tGYp7WSsSXl5elxQaA63WX3yZFNu07NrauMYm6cORclgXFiNsAgipwrkJPY7VCyXtdXDIJM61u6Nu0V+KaKi66LV8BevX2yjkvZfAICygXUUNTI3YZtyICsayeXmHVoTkXcS4sG4S2kEDd/M5zpedby5a0BKqmYxvHcfF3slYF7BaLE4c3nm5JBxqSSYvWapuabt/X1vYy11WK6ybhdme4bDxqKvTiL5zNiMXy5u4Ngx/wxjLPI3MYSSnS957DsGPX74i7C+TMYbfT4B8zd3d3dH7gcgmUbBYgpq1H9PdcnamXc6EZstbvleX697IuHjmBtWm5/+1QlqqQYiFIWDWbFdAbkasWSxoetJ2Opp+dVvOlldmIqajuLANiVctTgbeyXjVFhtF+i8ZVlspezaG1FVHFIy083QahuohQjKbsnKZnTcmkpN5NUoRYF2WKqWMyXJlhLgUafFkNen3/r4FVvZKs/EkByRVsbcSDNwsAACAASURBVOwm6nwptpBiJklZfM1yVs3ntopX9Ua1ijJr83UjDkSrJ0vRVGebiyIKRhXvfr3qewuubhfU5f6KXvDGkrXqYH15wdR4XUQ1X1L7fFojdP2gVe41BW87j2TVXCqBnkhhVjPksm5GFUyp3YL3fuGftuzJ7TnmOu5vH29sW8sOnIee/OZhMYBOcZMaq5/tvQfnsc7U650pSVOh59pG6HK5aJwVQwl5kTaAAvC8qWK/3fBvAclroORr6b3b+/ca6LpK7d4QLdv7e/ue33rfrxE2fwlQteNXAazIHnKk0BGMZ0pQ7IY9EqFHwHiM67Gux1hHV79jAy3CumDkWjFYsjaqFbFQdDCOtsMaizWWVMFOAytGmmOj/tte3CzXmhv9LLuAH32OWUBZA30NUC3ShXLdfkQ/131x85adcj2X9lz9vrrT0efeouh3WDOT8khOM8UJ2t7GUMSojmHXc7w/0vmBaVK903y+aH89seRQSAmMeLrugOv2ZBxjOBOiNhKOJTKGkXl+1FROBkG7p+92O4w4Xl5e+Pj4yDjO1QW5LCxcST1dFWxTWPpR5awu65SMFKMLi7UYUwCHqaXcxhqsUx8hseAt+M4sTFLn3DrxZeMObM1VmjPVChasTocFSAl0aKudUhIxKttQUR+pJKRITUnqguukMKfEafALGCyDOkOnEJnGC5REyRZyj6kLt1jlBoxNzPEZa7Qs3oohxpkcYR4N0+VEmTODHbj3b4il0OUDsj8gw4DZHWEYyM4iXY/Jadnp5qTGhEbWVMNQNql1p8ypcbp7zUVYmtU1s9rq/ZTHCzYN7IYBO4y4viOeJyZ34c4MhDDVlEEglchuP2Ct5fkh0O93mK6npIS5zHR3D5QsWOlUe9MfyfuOsavMBwGJa3cGBQEWKVp5mBHEOoztQRLG9ktFY5cUYBoMbrbauF3FKVBiNfzU2FCcpnCyS8Q84Xc7LAecWLzz2hJFagrEWiKCcajerFjE9TgZGPyREi3n6UxvBrytaRdRdswWiy8WEzPOQ+d7bLd6R+ncb/HPLIzVAlJyWQGkJGWDMHUsqiC9GKGIOp9Pj4+8zBd2xbG7uyOJ44nMOSdNHybt1+mSR4rBbNqjJJMpJoNRDmbOWUFnARMz1qmcwKAgPzcm1EBvDZ4EWEYBkhYgWCcYr8whQIxBrVSEVVNUCqTM4B3i3ea+a7FKzIkyayrUin6+JK0oA4vJF21snpUZSwlNl4mm2VWzp0x+SYYyg0f91JbNl9E5ghHmFJHG6Ip6irmsoSAlp7JLgblMmLqRd8ZgJehGN+d6HqoDEwM7V1lFJ1hXtBLY6Jh3zi9AU4polWMUiFp8pUAdmh3JvOnEYdyg2scpUOYJlxJumpiKx4lRCw3x7MSTjSMXyyR6319K4P34zGO48BQujKYQs+f5FCnlhfGSSHGmF/jx+7e4bPCVdYtxopAxzjPnWYFuW5Ny20yYJdUsoinsdd1rhEa+WnevWbuvM1ptI9g27q2i8pa1ajH+NVDVtHVbkqB9LvDF5uxrx68CWO1CJE8z0zixj5muoN3RW8pFCi7BYAM7seyM0wWvbwFAd0eKhGpuu3O0XZSxhaUFB4V9yNgsmATerz3jjJilxB8aiAFZtA23nlIF1cHI8llbBqL9f7LrTlQfyAsgUp0YCHEBcitQEspW70AFgMhKs24tI+r/Y8z4ztC5DgSszUjUR3e7nnfv3lXtU8cc1DT08fGRacoMQ09rAAwsrSdKSZxOl6p7aiLhkxqAknHW8vD2DXd3D+RkeH5+4eX5zPuPT8RYzS9FF0RrlW1yXh2ZjdRdYcpL8UKO6v9kjBo3WqfpnGEYFh3KoglClg72payl6vtBHY8BvCsrOGCdrKH5BW2ZQePJtdoth1jP26hmxciS/oxZg2SmkEpeK+asoXONSdDKTRGD9x3G70hR2VQV5q/MqvbGC5i6mIYQ8MNOPZHOmkr9/Pkz79+/5/t3P/DmzVu+f/M9x8M9g99jO187zut52hQpRpjm6gC/YQScVLq+U0qkuJoecwa8ppS8V82bKpvrRqH13TioKWWJA7v5yG66oz/0hGkmTDNzGAHVto2z9gKdYuBfxX5ZOOcpwIO6XBvjmMaIWE3p9sMRjNP0XqYyqJU5SNq42pfaSsU5fN/jcmYwcDabAChrPzPn/cJuiqgxozGFQiTlClhSJkvCdwrSKDOl+KppUe2INUnTkfVaepPw6D9LwouQjCFZNXhMSS/b5TJRioIRY1p8UQftvppytvG8jTOGldUtpSxpQhEh0RiNOqYrZ59z1FZRxuAOBwZrqlddYSyRcVTLEG8MxnkG3y0tXM5xXj47hKBi+BxIRTBxNfEtjb3KhmQyMSVs3aToolnZn1wUhFTGpH1P/R5mo43cxjP9jq4Cm3UBrJubUCizAmuqvUTZrBl6Ha+PJcbntGg4NWVUNU+tzN/ohnZJa2GXVNhSAFM0hSp1kwKN2dLqxVaxOk/hauFWNlorAGlx0Ok16LqOZlqbqpdZrj1OqV0kjHGkErUeU0wFz9c2K9Zadt5reyLskgm6Hwb1xjKe2EdmNzPFoBKBkplj4MPnR/727/8//uuf/8DHyxMceqREjvsDfeeQnDge9vwv/+k/KZARdYGnSje2TI+v1g5bAkE3B9cp5RWstKKZNa3YYnV7/fZ7vpaWe41luv15ey7tWm/fZ6u5br1bX2PCvnX8KoBVLpFYIikF1Iml6R021DOgnjiamirFbBBx1TBVUCIilWZNCBbJm1wrgFQ/Dudxnkrra/l+2+mu78XynipkWM9blgzeCoa2z2++1qbWE26btZbq9aJPL+vblrKwZlHyEhzaNWg0WKmpvdePSg+LerWkHAjzTIoRbx13xyNiVHR+OV+YxktF+WbR+pRSKljRf/M8k+OMsFLNcxgpJLoKaoZBhdcvlzMfHx85nbQnnAKgdRfcGDor1RSvJkWFgjX1ulVWr5XK21q5stv1qx6oMZrGqKHfbkcIE2HSar2+07YMOsaGq3TfXFOYzshiQZA36cdiCyFkzlP10mJtsrykrqeoDEduBqHV48mtAaUFDm2/IkjRKkQV73BFn+ecEa7Tku39ZLe2CXp8/MiHDx/48cff8n3nOR6POGrJuygrlVIhzTOprGA1zvp/KwrMxVhmidhstaIQtW1wosyFl6wpC2ugprNFJwx40apFo6lFJx536BFvyLbgQgYyDjA7IeRE/v+Ze9NYW5brPOxbVdXdezjTHd57HPUkkqJESiIl0aYVjY4GR1AsWw4UM7IAKwGcAUkQBwESOY6DQEiiGEiC2EAQBInhBIhkRZatGHTgIYpkibQpiSZFSRRFcRTfcN9w53POPnt3d1WtlR+rqrp6n335pB8BXj+cd8/ZQ+/e1TV89a1vfWsgdKOUTLiRLGzKCHSuRUupjqRboHEWQQwIWgonhnG+c039kCWAwDAkaJwBpAVEEFNhbrLTJGlnekrV4BGl0LlkXyxlGZXSagAjsE4nezKaPaahOQFJAInRbK/0A+9BMcAKw7CAYtSSXcXsVp3zjah3kpYuMRgTi2srW5Cyo0atY5JZSaIIhpHJ5yeKMrCUNhtEgmid+th5D4oCS4JoG3AISM4gmrVmLOAsbB1ylQhmBVJRCMaljOq9/o0IGJMFv0mIncXWhtBAQ2dZDlSek6lYeA7Dl9+BNB+rNkDnTNXPKciMgEjqA9orcoYrJWV9tp2Z5p5kKGsCEHMo6PrCKkIFOOs9V+2aRgoMxOR5zKJ10z0DmgKqmBtwzIxHnFloGAutQWgMrCEFWzRZGOT1ILf1pDtVwjWKJt4Ip/mL5gu+cw7ONgU4jEPAsBthxChrRQZSxkWDZrnEVhi7ccDFZoPzzSWuxh7OATz2cMaicSusFwvcODktGwHgsJGw/TK1evf79wSc5oCnPg5l7tX/7p9/AnFPZpfy8/sZo4fCkH/Y43UBrAYLjEbQW8HIggD9ERHYbJRogSFR25AAD8LKT1/Y2rpBSH2PSBmP7BGbswi9AGIJtrGQ1ukkjQxe8uDKu8L8CQLrDsdt9bgufM5P2USWmAwhKE0SedLY21sVHZEkBm7WiSZg9QRGFAKj4l0O4KilbTIqXywWGMZFcfDebC7Q9wMkgU/vh5JmvFx2yiZYILKfBkT0CGMPRNYSFKsjLJZaB+ziaoOHDx/j4kLrZ1nTFVZOeN5hG6shzQwsrWs0ngd1cdf7YGFMMoxsWxytliV5IR/OOXVJbiyGwWJIupOu67BMJozOrgprGEWBoXdJF2WTYSemPqSZkIIdjZOwPPjCGuS/RVQUHnlK9TaJ3DGU0vWNS+Atwo95B2RnfahMAjSFPAozFgLWqxVCo+7tjx8/xp07d3B2dhNnN2/jjW98E2RULzIOjJDA3rbfFeYrs285rISoafoj27ITN87BGAfXNoAxGBtXUvApMT0tFtBBydNuMyijkYGOtYQQtJ+SST5uAjBbNKx+XQ0snOhComFAqywzGRhqNEQlmrUXk22ARoS1f6guR0CiyRKOdMHgVMojs1vRTpPszFKDpnPlnbapxPtMnDSZmv5umhTXj+ryj8AQ9rBoYCXASgCxR2sIC0ew4sBOGS4SghHVa0VRDZIhLU2iWkAFOfPwRwqNlMWYFdzxBLDyHGCMzisigBEHa6WYKjMUjAfvwWThnUVDFrJsVWMWtd5kZmaITMXQT5+j91ZANC2ohUGCpOtMgCQBJCLNzgMBFlGjyknjVWtDM0OXNaf17wVMpGtkkWQG6wtDpGpq3WhzYgCpklPpNDvNoVOCxlx7aASlsLSk68sbH2sUXDljQXay0DAVC17sEoyF2sEwYrQg4dIfmdUihYjgMrByWn8vF7LO8zyJMn6RU5ZeYtaiaCJVBCGI1kY9BG5KX4+q3ex3O7TGwjRtCcMyAeK0aP1u2+P84gK7oYdxFku7hFsvYbomeckZrFeaQa4MmxaUL/NAGiK5bbiqnzoHTNdZotz3S5ToANuUNw+Hjuvr8eFj//2HgNw+y1b/Wz/35Y7XBbAaG0LfEHxjsGVBhIobdbeulbZ1IhREExEQ4ASwQ5gthFPmn2Z11Dt/pW8NiAwGB0QHwCGlcVeDq0Kv+zeppuDLv1W8eGrwuYVDG59MRdbZRfsHZ0qMqJrsUu8FysS0/342utBbSiE4q6ETa62aAopS/LvtJpk0TsLeEEeABIvlEuujJdrOpWLLOol7H0odwMxqLZdLranV9zg/v8Rl8ioiNMhhNGGCKYtcEuqKpJpSnDJ4TAkTSlMB1qRZa4zDKmUbtm1b7nfTWE0LDgEOWs4BUDfpXOqi46kURxSGgyCYlFprCDEahGTYCQgiIpgirDUl+5FDRORJTMrMRfyuIZikPxLSNP60K2cTQU4JxkgBw+BhTLxub5AWA+2LmvU2jiOMMTharXB2doa+H9D3Ix4+eoA7d17Araefwdvf/nYtXSSCkCbxGCM221QQNpXb0eLQnECfAovAClpj1llZgzA6TQ5IwCqDLnEOrbGAZbBTDYwkwMajLz8E3UyUSZU1td4yQDDaNkYtCsCSNGxp7JkGEEJkBvO0s415cs5jjTQZpXC9yeiTxMI0k9u5r8aycQfGL1DODQLEiLr7gxHYYxSHUTwQ86aCYVOtxxA181aYAfEw7OEgcFDbhNGpRCGIlmoGMwyjhF5i1I2PWK3RpzoqW76ziG6+YowgqO2BmPycYgVLOis5UqFAzH2RNPQqIvAhgAcPjwC0Lai1iZ3L85cBpcXZRMAPUyjw2iFS5qKJJdEC41EUZNnUtpndyaJySwZkkggc1fzKiXHKc2n1cZT1gZwyNvUN+WK0LwApU1RK7mYduikZsLJ/8gmMZG8n/X2ay43oj6OkJXM0q8tJIEUu6TrKfK3KvzRdZ6E4p8+3sCC0rgEZKYJwmzcTAnCqCUq5GDhjsp8RnWOiACGysu+xZhmnsHE+xuDRDSPigtG63PeT5pYI23HAg/PHuPvoAa52W4AIxuom6Ox4lf49wdNP3cKtszOAptJUU19NpIEkskDmbOG8G10HLtOayHt/y7X3fjnwU7/mSZ87ZzEPr8EFNxz47Nc6XhfASqzTWldNC4wjtDa4Zvxp2UlNHw4gEAMSIqwAizA1vnNKRWtIL2sVoExB1EU8e99FHcUgjuAwFVYm0irrZRe4D4YqEJW9hsq8TjkjMeuornts5QllOocuFEr3zj4p/T9lLCLtnDK9nj6XqOoolYBdmRetucdQR2M1nNRsoM1mg81ui343pvBWNqzM5S0arFYLrNeqT9rt+nL9Y8oQkahpul3TgoyFHyM2my02m62Gm6yaKjZGndazcaezyiAxM4wEpe7t5G7uXNZOOdQFePW6WiwXLZbLhZaJcJPA0FqLzcajIdbJz8zd1JmnHTAzYBuHQIJodKHTpasqNRMjbNTq70jAANBMJsEUOtTiweolxOmexBhAIYWfZeof1lp03bLo1w7R4fMSKAqQh3GnQNUIFosO1jaIIeDhw4d4+eU7ePjoPkIO/ybAF2IszuYiUkp3IFmNBEDvjZ97WMFQSvagUtrHplIvzrWgmIxWlw4Skz4lRPCoizenuo8xlUohIwiiY4xDxCgECqzlXBzgxxGNdanenu7DmSN8JAgsIkeEyNh6vzdx7pe34SQRmBZbGLUy0LE0dy6fvZc0RISiFQE608CTwHDAzg9qtkkWHCLaNA9ozb/c3l7BbRxBEmBSaJDIgIyyIM2ySyCcsexatI2FJQUPLtkt5A1H/k8ZzMysSdnNl7nE5Gwzfd7k94nOZTGNu8AaqnbGommAqys1cVWGpl5c5v5DNvXhbEWRx8eki5kYwNL/iMEJTOU83mxHAWBub5DkB5TDpLN7o4k7kt4TwZooxJTCuKpRy1l8XMZSKhNjU6FoM7FJVIXMTAKqRa/JpCakqSvkhAGqNgkWhGxyrvcgt3f1WN4Qg0vCUnLMKzKPPB8UcMcCgdpFEIDodRPHEUn0XzFeZIuVRy1NqMdCCFr6J39WCBHRqK6uBpxCBDQWm6tLPHj8CI/OH6MPHrYlsFX949O3buH4+BhPP3ULN27cQKfxQQRhNIbKXJjbDVFvmCl9as6AomKw8vXNwc1cVF4iJQd+nnyOJwOj/WNfy1W/9tA5n3Se+nhdAKuGLTo4BGqwY6NZGplqRVpwo1L9eQdBLIgyOUODEt3OAJHS5raE3fQ9LBHWAtZ2MEkKzpWn1cx6weTBoYeIaGAcSOJGpMFE02P1zeaUAZGvIT83BSanm07AfJ1IO2kz1TsiFhT2vLB0U+hSirCeAKP0MNG02wvew3tNwb24uMAwaMhPwyCaDq7iSBQGqG2bEoqy1oJjxJgqswNq7Nm2C0hEqROoYk0LRxY5xCIxCX2JIJT8hWLEok212VxVNiYZBDZNp6R8YvWItOTJ0bLBatVhtVomN+ApC3TDI7LepjWExhCcUbreuHY2OVlDCCRgq6HBaDRJwgsjsC7wQMrGEgaJZkUJprCESa7QmUFAug4fGFSJHo0xybVY6801WbtRDdoycdsGOYtPQzzJB8urG/5qeaSaNzB2/Rb379/FK6+8AndyrAWCeaLmL/utAmcfCtsiInDGYGTtWx1sCfcV/ZFV1hf52psMrBzGqMax8TxNSAlcRR/Qb64QfdJERV8WNIGK6L0PEOcQQsRRq88NDJAhDAKoP5D23TEwQA6cjBjNqpvGIZDY0KnOYskmxZw9zmWSAJTFuGQOlzFTMxfpfdaArEU0FgO07xqIXitrH45xhGNSN/f0+bdOj+B3x2AhDKsBYjTcHHPfSxKAruuwXC+ScN8gjGodEJk1pCyT7tLQfGEhoqlOG6VNlVQhGRHNTiaUtH0fGTx6WLJwrsF5COjHoKJsyZvAJB6maVkg0nGhjv0MCTJr62wpoXYjkiwsWE3USYEeG1fm4wwSM6NFRBP4zaxSNTa8ZFZ7OtR4Xf3M5hL1ahw1U3FzW7FWpU0zU5waKHAEhfmiWS/KHKJ+MAsKNsvXmkBhabPqvwlZzRd+SqxW2qWBKYGwdO6s52TO7HXFVCWwqv5dVRmt/PksRUCfv4dEBvuQsq1Te1gD49Sm5mJ7hYurC1wNW8ACi9UKXWNx49YtvOHpZ3Dz5k3cun0Di6aBH0dwVMadoSFiyEQ4CER1e3ZiX+ujfP/qRx+fA6v99+R/n8Qazcb93mv2n6uP/YzDfeYrv78+zz5g2z9eF8BqyQ3YjxgGoBsIJtpy8Y21WsUCAjK68CvrzRgWk3eNMWFG+yr7IXAux9QFTWPgiHA0UmKklNkBph2NbVKWHl33QuEUG5eyA5p2Xfl1xphpWCVN0ahk9R5Kr0AhALi6Y+ohFMBpEkXZJSVezJg8omedSEQQeIAhxhhHtI2BBGC32WI3KPgJIWAIqlFwzoGjwIeIKIK2aXB6eor1eqWiR9+rgFRUq6FgTLVaR0dH6LoOm36H7baH9yqMhuR04wa+jyWzomsaFfZai+OjNU4WCuCadgqJ2bTIt22X2lKF69nErmsE6/UabdtWabXK8iycA3I5l7Ir03vdGAKM1uQDdFJiXoA5YEjFpcfoEILFOGqdt6swwoEgpILf1qg+T++jQ4hRRayJsYoQ+Kih0mZmmGqBihUiq2neebeZw2DGmFLupWuSfiFq+ODRo0cAlJ27cXYbTaOfebm5wPn5I+S1UEuSWIQYsGUPsprmLEJgq6ylINUZs8qyEjEsWdjkb2WKWSvra2NUKTcReBzVdDT10cy4sgBsLNhpsgYsJS85QdO2IACt07TubrmEOIfIAm4ZW2aYpZYMadsFDAwWILimUxNNa8F2KlitwHsyCJ6H7+eTnjFNmazL4ya/b5o46yQCAOrMzpqRumw7kKgdSPReAZYIOHg0zmDc7dAtW7z7698Fa3q88x1fhXEIGNO9jYxiEKsZpKFoqyRlmYZhTJuT7YyByEL/XFd0f3GIjS6kTfKBIlhECHZDD4aaVV5cpLZJ1hlRGKMIHl5cYHnrJo4WHXxUpvH05hmuhn5qP2E01sHZlF1q5ou4hp1Y2Ys2GzOqtk6MbgZVQG5gTU4MUDY+3zNLtQGmmX0/ZwyiJQARRjT7zyf2rT5yJnEec0QObQ5vk0opclhbqhAVS0AIEwNXrHX2/s6fMY5jMvqdismHOLXX1AczcZVAf1SwbI1q+WpQ4WiSA7DovacyP3CSIiQmiiOCEMg5mBgB+JJMlA8/9gjUwiDXbkTamCZtKmkG4BgDhBh9GLEdelyNPZquxe2TG1ieHgONwTNvfTPe8swz6BZq1aBF5KXMv/V4y+Osbq96fE7tWrfVFO6bmNIqmad6/hDDv3/u+X2gvc99Muiq/90/x/57XgtUAa8TYGXbNVq2OEID61Y6kaRGrU0KMzWbO6Fv047VJCMCmuz1c3gjFwB2btp1L6Wd3fD63xqY1Y8DAO+5vdcNn32o8kCuJ/to8s5hD0whASSZvz6/Rtr562tzwLpN6r8BgO0jEA9oDcB+i5de+BIenT/Eo/v3sd1ucLUb4D1j9LqD5gj0o57j9OYNrFdadb0ftthut4Wh6rcDmAXr5RGWy3XKbjO4erzF2I+wEWjdAha6GPjdDsTqTLxaLHB2doblYoG2VduEW8fLFKrLmhtXKrxnx2QiLYKqJYosJBciTf3CDyP6fotxHHHr5KS4FtsElHO76G55YmbEEDTjibVIqvfoxwF935fvvW0dgAFDIPRgDCQYghZ7HTlCnMMQA0bP8Km8iUTd2VuxulizaKkNI5pgYWRyc08LVB70fhg1qw8o2YNN02hqdmRcXp7Dew2xLboVAIu+3+KNb3oaJ1/71WjbFotuBdeq0Dz7wlrn0nYwZalKnpAsRlvrGeysD5b+xNd3bhn+T3o5/R4ZaJlSs00Q4lAY0tYtSrkpTuC+326x2WxweuOWenfZRvVqKfFAPacOTBxm78Fy3dWiGyt2OT+9/+/+IQoKrplxsqieBlB2bRzRXzzEcmVwdPx2fOVXvgXf9W3vLZNwiDyxDUl3yRCMvi+llCIrIxzHiKurKzz33HO4uLjAZrPBbhhSWCc5jVfeOyJJRyUeHCI6slqk2DTJYiMgEuFq7DH2A/qthpO9AA0Id4ctXr48x9HJMdbLFQBgiIx+N+Do6Gj6zj6iJWBlGxACtkkIH4MCezEEMlY3f6LlZkyMMFHgIVqmyBjE6GGTy78ybRGIJVWouoc8a/ecMcipCoEhgoVNdQgV1IFzwXkNm1pr4SiFHw2SvEMZQOaspaoWSgtYsXCuKlEVpmLyun5oWRqTYw6sNUxFDNpZ7lEKRRdgBTin2ZYz4A6USETIhqYZ3LPoeGE1mw2SgDkIkVRHF33QYtreI/pRk4nS4Szh9tkZbpwewxlC9CPscgnnLLpOtanbYYuIiOZohRfuv4Qv3HkO2zDixtO3cPtNT+P45hmiCBZHC4R+B4oBIdkgOGcQExPbNHmNStRfmkf01+vhsxhjSWKq55QSbQH2NkrzdTZU4Dm/tjDQB0J6NQB7EtNVWODqXPvn+IOGAMs9+AO96v/n4x3ve0+x3+fskVI1CFDFu2eUHFeLrH5pW+1ScjZZ1uAULYkcvnH1DZ2JHjOwMvvvmVsIEE1Gn/W1du2cWp+O68Wga8o4mspJdg9AlXY50J4Ra8i4g0HE1aN7oJeAMQZECaVwMAxByCB6xhgZwUe4xqJrl5otNmqhZE0KQKrHlgTwXYfONQieMfQ9wEADB9g0wFhAQdmRs+MTLBYtjpYrnJ4cJaf3BotFi1WTmSqU+6Q+TA1yyjOAUsjZpOKrAIq+ynethi/d5AlTyh1VKcrO2llfMAbFKmGMurg1zpQfTa0WbAagGQmGNXsKouEQzxHRq2aBY0jshtGyFcslmjHruThNslTM8LKOyloLNilrzwf0wxauOVK9Ub72JrlzSyymgeM48nvAHgAAIABJREFUomuX0PR23TXeOD5Cu1igWSxQRCA2ASrjErVU9ZjUn9xsUchP7e3crIY35tmras+hkv3cm015p0ZHdOEkcWgdwwTC0nRAAkzWqw4ljDvEOALkYd1S+1EKxSaUg0lonENQ1TWKINV80cfryU+mMQqW9Dyq9sjnSt8ipXRSMtQFoOGT/LmGgKAZmJARQ3+FkMLjIY4YeYfMPAcWcJyuhSl7FOlGRQyBY0iACFguGrzhmds4OVrj8vISV1dXGIYBfdKrZYBVT/Q9aXinEQKHqLo567DzI2AdluMSp6enePTwHP2210XEGIxEeHR1iSs/IFqLhoDRj7i82qBZtOWaW2MQbYPRjhiFZp+t7L2GEIlUR6nspSSfPd1kAAQmhrIrVED9ZBuR2d3qXuVbA6hpKWKqCSpJIiDKEkcNPWu5FlMy9yztrRdIzCpr+Zh8/dN8DxhnwUHvWZ4bgMlXqX6P9odcsmx/IdeagwToBi+VisksDLPa6AQWhLQp0WuUco2Z2VHGU8OBUVg/ldVSQzN+BwzjDv3uqlzDerHAsmuVIYwegMPRUrP5YA36sUfgCNNZ2M4icES36mCoRXe0wnLVle+sInyVgRQC4Np+JiUQUApRZzDMdULA9bBcDWBqYDVvy/nvh9ilQ8DnSaHEQ0e93tcMZR3yOwS2vtzxugBW73r/N83KGXCYwij5OMgSDb6ApeKqTRrHL8DjAHAaqljqPrDZ/7tu2OLBUl8XrruoUz1RQ/2r9EVmviDoG/GkrbNVwdjhBQO4vovP7IxZAWyBYQv/KOLi6gKbzSV2Q48xeJB1sEmXMcYAHzRWv07ZdhFcwn4iAmscJKobbdcusepWILLw41YNQoPuDpkBHr0a9THDEXD79BTHJ2scLRdYr1Zokl5n0XZwZhJSWkcFVGXBea6BlbVcOQ1eH9PzeOcgzBhdqhhfDQ5JmZBEhGXTVkJ31RHpJBZhgwE7zSDsfIdl16JrHFpnMUaHYRjQOoPGOrSjCmJFlL3ilP0HQxoGtQ4NAU6SJ5iw3qhKs1fH8jX0TAigVAJGfdyIJRXEZVhH6JxF27pU8LrHMLbo2iXAHg8e3MMzV+forKhdRRTtC4tFYqri1O/y4qWztmbyAEWrBwDEh6nxGvQTpnTp7LaWJ1hI3hhp8W7wmOwYRvggaGxMlg0RvNvi/Pwe7t17GYQA8T265QJRCO1iCa3rZ4GkzSs0gKnHEk9jaH9MJAYQVLMiCnwUkKW/i/q4NAIKmLKpvYi0LXkH9h5+t8XV5QP0uy18PyibmK6TYCfjyezpk9pPynkNsqEtvF5nA2DZOYAXcEbQNw5tr+G9mrFCAjmLRrNVXU7qITWHdaMBO4d2ucBTt27i3r17OH90jjFqKIsc4VG/w8V2Bw/GeqFFhkMI6C8nl/tV20FACvAMipC63HtWTZW1GXQBIpR0YlqnlEAgNzEKulljiDElwzLfR2WzpsVb0q0lUqaIySADMebMVmm4Pwvks/SDiApTrdMn6y0tu4mJqdCw33yNKf52iRGTsgBjtgDnoyy2xRdLu5kRJFCf+yqXtssMlfaZ3H4CXT+mrOOQQ4MyAQkRtX3Z7XbY7XblOo7WS7SNBWLQUL5tcLTWLO/dOOByu4OQoF0sQK3F8mSFN3dvBhuCXbRYrlcgRwgxwjQWlnNCV50IoCFN7dpVW4gma+i9m2faAzlCY66Fk/NB1Vg8FLqr1/X6uRoE1e899Lr95+v6vpn5OhQKrs91bW7cO14XwOro5AhJ1gkHo5b/pMJ15glk6ZepQM0hYFG+8IGteDqWe42Ss+1e67CzWXv/HPkw1x5BztjY/wgxusDMUkow/W7r73P9tNeBVv6bAQuw73Fx+RiPLx7h8moDn+owAoCQgWfB6AOE1adouVzCGIPRjwVYGVCaiJQNWrYdnHMIPplQRgH7DIjVdBMsWDQt2q7B2ckRTk+O1AV91aG1Cmzatk0CXCmAxzlbQJW1qQ6f5HCvFjhlO1Vuz1lGy7bTDKg4z/A0pNlDxhgsbDcJNg3KAApGfWciaciysYTWTbXzQiTshhatM+iaFrthAn6eBdaqj84YOCVmMQLr7tsYo0xCwtkC1XaNIWpYwRhYk1ydDRB5URYnDUkAMZqkhetSe8RSBwxiYEXw3HPP4fazbwSefhpnN0cNc8LANQr0EDVJQUFJ0I6YFrkG8x0lZVYHFXDJ3apM+ABsSCtHBfjzxBOilhMxKctw7BE3l+j7HqZZo6E1sGwBIuwuH+Ly4as4v/8yrIxA7LUmpRCaxVIzyqyDoUmIm0O6+wV78/N1Gj3MxL6UjU2eRyg9BkyAM38PGa+xYpKsNkK/w7C7wubiHI8evoo49PDDiBDHBKQVXEx13JAmae03uZ/ma2YOhb0pG0xhOEvoGgeStjAoeXHIm7xotVRREwH2qjPNth9wDtI0uP3UTZy9dIp77X30Ow3LogMud1s8uDzHVb/DzeUKbimI44DdZgorrRZLBBa0xqIzDsTznXu2HCEyMBb6nTFfwAQMQ821hU1EEElL/MylEFLmShPVU0pIWVdDKmbPIejMomRH88Y0sMbCubzJogIGRCZACGSAgKQfl1TPe74J143D1M9gAWsmTahGE8bpnlf3BpjKY9WLctbzZTuRbKkwB1Yo/SemJJmQmKraLJaZwd5DqqzAVddqoXCOIOPgUnWR3Tjg4vISm90W1HVwVlmwbtXBHi1BrdHqBI1Ty6MYESWgjSmJyEzZmIIMcia3+/kxJaBdJx3mEaFq4M2AVX2v9oFV3f9yXyob6j1QlV9Xn/MQaZNfVwOr1wJQTzpeF8DKIhl/AsmxNwcjcpo7MIEPxrQ5zai3Mg6TibYrO8W9w9AkcJ6yW56wS6+PvRTv6oyloChw4DXueqcrp+QMBmj6XmknLYQ6v0Sfo7y7yQuDzN8jAhNGjLtz3Hv1Fdx56SU8ePQQw5DK0QiDo+p+hmHAOAbYxqJtFykjjRC8OolzLImQCfxkY06DEFKxbDFKEwOIQQAmLJoGx+sjHK/XOD05wnq5xLJrcLRcFDfoxqjfUGFu7JyKbdsG1rq8/sNQCuU2VUgPaUe6BNrWwfvkeM48Y6eICA2qEK2RZHaoIVYyAsNUdC/WWizaVh3KI2HR96nu4IDdsETT9WjbBQYQ2jHADCPs6DGGoMVXQwQHg9L9KN/MaWGJkqwbZKpLtl4s0ftRDS9NEgCLlBT3eqB77+Gsh2kcXn31VTz3+c9Cxh4mlTJhMji1AIxNAnWbvt8EIDSMoczN1H+BKZds7xCZurf11RNTwgUBENZaaEk1C3/5GLvLSwWDRyMk9liNS8AYXD68j6vzRwj9FsOmwbBsYeHho4C2FwVYd+3cUHVaiKcJdZ9lBqBO8fkqjbq8y7XNV/IJrydimcCPhu807BL8gGG7Q7/boN9c4ur8IYIfIdlHzDmAOWUbW0ByxqL68EmkUtnAFPJQF0FA7UyKZ5doDTbXZEE1JRAwXadvIiQadEyI1sAm8bqIwCwWgGtxdnaGs7OzVBTdY4wjrLHYDiPuPX6Ie48e4an1EY5bhxaqZ8zHommxs+q83bUtGhlm+lMFTilzjYEn7WcZNZjZu0fVfd2ff3W8OpDRDYqAERkg9sgLtLUWbbNQK4misY3J1V6F90QEMLQg9t6CaYxJ60AFWq2BiWa2wGbPKbJWtVb5uxTfKz1HLqDNZCAp0eNQWCnr70VyOFCBVSm1I1JYT2YFZBGSvPWQmE8p82E+rAGQsn7bVi1xxt0Wfb/F4MdUlklBxC6O4GSCa9tWWahyrwCJVM6t2tQJLBFR0ksdvuf77FJ91CzRPuN06PWH+ks+ymZjT7xe//7lhO35HPnfGqxlAf4fFmC9LoBVTLqfjBN0sCb/lj0WJw9QEQGWuXTI/MtLYr3y6woyzhknfkw7WyoLSv67lDE41JD8ZGA1Y8vKe3XmHCT7QFU7fuSX5s50fTHLN9XiegfQieIJ9Kbvce/uXbz4wvN48c7zePDgAa76HRpMZS/8GDEOKn60zRKN61D8T2Zh1UkXpNonV16XQ7YobspAax2Wy7XWGDw+xvH6qITV2rbFsm1KKGTRTnXcsnlo/j6Lti3ePjFZYljrICmbqkmrUp5YmZPbdpqUjDHpenUCcTIHFCS6wxMY2NT2JlHt+b3W6sTRJDDXth3a5Yima2Ebh6332HmGcT2M60GDh4kRkUfwOGmrsHf/VGOVwhlJo5Tb2IlmajqTgRgXXZXWEpuE+9mk72p7iZdfeB6rtsGqa+G6NhtDAGThunYOHKryQot4PQ1ZLSxs6X8AqiQJ/TugL7vYdNKqT2d7EIHEgO3mAv3VJYbkfzZur9B3HSwEjx/eRb+9AIkHhx4IAyS2oBhBcCXFfHdZAzn9jPnfuvDtT4KhKm5uclme8v2zsN2kENN0ME9ZVpr5pVl7YVBw5ccecegRxgEcRkgMqV1QgHBjkkg/omR1WdLMT0GE4Ul7I+zLHGDTuIsiqh9MxdNnu+78S6N2KR3ZYi0hrG1GzoEtYb1YYr1eYrVaYXN5VViTMQZcbLRO6ObWLazdEYyhUl8T0AUw2yK0roGLc72qgnJOY3cKyep8my1zkAyL95mpvft3YLEjWFBKNlH3Aq3vWN+bKVHJFWsFa1NZy8Ra5bkltzeqz+M9Fq1cvzVAmLMl5acAK9Fo8/51J9CfS+NwdY78GgaKRxYoh86qzRRLsumo1sU9ZsbkubmdxrR6iUUY16BLm+Hdbqc2KtZguViCugYjAPaMiIi2XSmoMkAMMYV3c0blxOJxsvAR5hIxqBlM3dwr2DoEhpRllNfoB7h21J+xD8LqdWP/XPvH/vtqRm0/XLj/uX8YcPW6AFb2/isTRV/Vz4PMaUQYV0zHQARcjNPv++c0JvfG66CnRq+YgFz2S5qdswJk147Cku3HJOfPd6g+v7omEQE5d/A9EEm4zE6hGa14mb6gBcZBw3ScxbRR68PxXVx84fN4+KUv4eHzz0F2OyzdAuOuRwgK7q6uLsDjiJWzWDmgxYBle4Todxi2lwi+R9c6WAuEMKCxLRqj2X67gbHbBvho1FclDog+YNE6nKyWOD0+wq2TI5wcr3Hc6K6paRo4Ia1B59o0UQuMsWmXEBXkWKciUljAtLDGAS4X1LXo2q7s0BgRHCiZBhosm0Z1BZKzh0irzjPDh6GwYoAm5JkYYYQAr7sz6whAg5DADJHB8WKBznRoqcXW7tD2Fk4sGmitxathgMmu9h1jiBHW9RjsRantpx60BiALMQYhxGqCBgJ7OGPQdg3WyTtsjB5EWvYnSsDIAAXGarWCoVT+hEY0GGB5i8f3X8ULRuAQ8cwzz6BtW+zuRg2r7RIQM1MiRkjhie1eWQ/t8trf9qn1MvEwlZqac6PO6f0sU1bVdrtB36t+bLy8AtoW0ruk53kMCgM6w7Bg9FeXMKIGojyO6qRtDGIGwqKAjcuYy4xCNQHW2YKkjJU+fTjrEaDCKkwlTCpwxgwfA2TUkAt7D2KGCblMkEBSQszKE0QsWJzaDuQNnMuLUAQZ5eRJJIVpAQp6nS2Sga7Xci0mEpxrkoB5mofKdY4bBRKIEKfgRozBiWvgRTDEgBsnS9y8sUazEHjbg8iiGVsEYtzfbPCFh3exvn0Ge7zAM8cn4EoILfBwS4u1WyFuIp6yZzhdHOv406KJqhqiCJdsWUSUGTJQ1oZJ7VIN5UUxgcdiQSMpajzVcdTwG+DjCIMGxnVwzQLCgj4SggjILAASkFMhE1NQ82ejFSZqUGiNAUujcz8l8JH6akMOYgwiX6X8jpwdqOyeI4doADIaKsvgLELD1KEKH+X+SkZgo1YQyeOcJXmnRYCJCpsFAGMCU4F1mg+dVUsEHuEpKvvNDI49PI9gYbQmIlhW2xpel3t2TA4nizVOj46x6hZorQMHD4rA8mQN23bYsMdlGBAcoWk7iDDiqISDI4IYCzCBjVHdJhFgjBqoApqsk9cypAiKACBWGYBkc9QpK5dL20wJDEJIwFNLRalTf10yKG1s0obfVHPOtPHX/pMzbzNYqn28DoUJ82t1/GrSQA4X5/l52sDmJngyC1cfrwtgde/ui3sXWiHy/EWq8ER+LR8Iu82Q8d7j+8/t/73PKD2p8Q6970mfC+CaFmwfFdc3fh6OGPV6Sg2uaYdjjAGHAdbqIgboRLzb7bDdvITP/t5n8corr+DB/fsYRwUb3qu+ZrPZQETQdApwbOPQLRdF/1HCVVEnyRgFy4UaNHrv4fsA3/t0XvVKWRwtcfv0Bt7w9G3cvHGM4+USjTU4TuE/12T/oWbaCWFiIYxR4KGGoQ6LpgWMintJNKOuaVwxVFTSwaQJUwpANtaU37Xkii7ubdvM7lFhyki1YzHrCERgoyDm3QwYrrE4skt0XYtxvcJi12OzvUIvgnWIWK3X2PQeV8OIq2HUHeTpGtttj/PLS1ztdghey0/0KYU+f75LonlqW4SgoZcMEvKik6lsZUI8rAG6ZonlconVeonFsoMPPe7eexksHv1wpQ7JixWuhkUp/6O79CTaT90sj6rrtPj1vv/lGFdAtUL62KR9ICPY7Xp4n4oikzKQ1iogMcZhtbKIQimb05TahlLpeYS4ugYU1nM65kzzxFJN167NOjHAuR8wAVljNY3LuSYjp+BrmEbHkvcepmlg2zYZpUbEoNlrxlo01iBmWwBwmqiNFvFNzJ9Jn5Pd6fO1GyI4kNp2cISRqUi43jedDxhL7acx60IMFCgaOOPgKWB11OHGradwdnoD7d372G634MUSbAghCh5eXOL3n3sOCwDdmwU3V9Mi3RqHmyenODOEW2c3sB31PnOqOemcZoZqtl2ussdJbqGhZqE0FgUQk4TpLDk6DmNzceO0emHKgm5WSwipN9vgR2x3AzbbHv3oEUXUn04MgiCNdS3OLmT1fUSwyYKhcdf1YWPw8GOApP6XAZKy6A3aVl9fJ1fVYTfNgmtSFYIIEVYzYCh4MiyzVaokr/I0xutQFrOW3Bo5wqdi0ywMSsxc13XY9crKB46ANViulzitLDLe9o634/hohc44SIhq6DkITk7OwATsoscgAbZt4BYtvJ3PiXlMsAjiGBCbya5g9j2qsGr+NwJJA5fXuDx+59q17IEFM43Xks2PCRiFVMGijFWZHN1niUoikGpKqOf6fYD1JCxQ2GPZCysamX3P+vxPOl4XwCqXUgEwu3gAMPwEvQemuH393nzsA5fXaoj93fqhoy5P8iRqcv+zgfnkvv+ZSpljFm8v/5KydlPB3pTQTrpICw8QECIPADTtfxy36IctLi/Psd1uMI49YtQFMS924zjiQ595+X1fePXifU9qjzffXH32X/ljz/4ykdUK56xGdd4zvB8ROSLxfei6DkerBU5Pj3F8vMZ6vcaibWEgcG2Dppm8xerBkMvblHZKRqC5XiDKoNFBZ53TDMtU9Osnf+rn3vlXf/rv/HEA+Es/+sO//OM/8kOftWnZzKZ8+/dpn+4lmU8aeVLV+mY62XM2wTMG/8Hf+Nnv+tLdB09dbHfrwYfWWeNPVovHb3vm1uff/463fqo1JKO1GL3vfuvOva+/f7l90xDiSWRZGKLBGXp0Yum3jgy9qNeRPXgEIRBam+sfprAVUuFkoGhf1J07TB5IMaLrHAIHXF1dYrO5wHLZwToHGTRUbpyFNcqKBJnEtIHnE2rdTkSHQFRKfuDM/qTxgJh2fLEAQe3Yqr3jiKT1UlARg5bZgJgqfGPLPdCQgSnMTGasro2RdBMPhR2ICK7KYCNo1wkw5XPKd1ar6HIO3gv7x+wwHzPoTDvuZCnBrIyEa1xKyrBgkxJwROvn5RA707TTz3KpZtUVAFdAIXSOo2RIZhLrWOYfAYi0T5BhXdAiIGRgYBProN5y6/UaR0dHWC6XClyRaloCuNz1ePXBQ9w8OsbTJ6c4WaymthSBScnJHVnQslEDXJOqYOirZqVaCBZZcCVQfSQlBspWIelszlH3P61qMY1HNbx1GEVKSHwMvvgZiZmy9wQK1mCUCdFsY4cmZRAbaHmsDPKjJI827akzMXXZ1NsGImqJkmuqIr22LPBswEkPCZ73zTy2mVBpvJD6DJd7mbVfUm2cTXZI5xp4cZozGDBQQ2XXoWumufTk7FhNbVnQh1Cy+yIBHoxRVGurZbySrguScqUOb6iyvKI8hvkqeWgOKWNJH5g2s0azAhkyW1On1wtyJmi9wSvgb6/fPAns1KD1y4UAMTvflLG4D6ae9Nih43UBrJB2azkkB0yNFHksz9UhORGZxMF77wHmk+Y+sDoMhHQwN02DWoBeo2CuKMj5ew98perxLMB/rZtRvyZ/vwyoCDqQY/p8CQECj8ABHFSz4f2A7e4Sjx48wOXFIwz9VoXEaSNoHaHfqcj6D3IduZ2steCQtT4BwXtwSKBPDFaLFicnR8WJ3aUdoiUUw898npqq3c/mMnbSb2i7CZB0McY4uJQpmD1i6iODIUq7RZOo5zLQq++U23gCVHOX3/xjRVQInnexIvjo5770NfXn+sjtg8vt0w8ut08/vLw6+RPv+eqPtM7gxfuXp889mAPXKLKKUVb3It48WvORM4vfyYPYQLMAt7368LStGoPGyJrxI3MvHO89hmGAMQbHcQ3rHMIQMQw7XF6eY7VaKCPJyv40XQtr1V2fefrupc2uAavr46b0RdLK9dP7MsPJhUnSduXyuC5IBOta5LJOkvCF1DtPzpoXAdnD7HK9g9Xzz/vBbIKlyTySJLMHmnRBRJNm0yC50udQ5nwspMx+5Mwv3XCYIkTXskBAjEMBPcIq9gUU7GhRddGSXSa5UuedeKo5GGk+x0QIYOc7bwim8kXZcj+DUaiYGkYNSlmAtmuxXK7QLbWYLkFD0rqwEnbe4/xqi0ePz/Ho4hJPn52W797AgFnULiMEoDVorIJhAicnjxx6B3RkqraPoMBbQLBG4NJ8VvRJmBbaWZZYnfWmwR/EoHVOhwSqQgbMTIhWNT+StH1W1JbBuAaubdE0LbqUxJCZX58AhwBJ7S2QoP1b2UTVrhlry2fnH+cc2qZJDPDU1yxIQ3wZYKV/JQGImB7Lc9FcMydl3NXHBAI0zFssGkTKptBZi9bOvRJDjOBR54goAUfLFXoOiBAECKIlRELyxkqsago3amap3sr9LLx8XwCA033fnzclLTjKIs2ZuXKNVte0fQax/s5aY9Ney9JjwjVv4Hxd9dxwCFjVr62B1fT8AbB24L2vdbwugFUdfqqP640xBwTMc2fyQ+zE4efyrrCOu+qNyxqk+jzlelB56ewdh9iofIQDj+XrKrTzXiiQKA8+TbEHTNkNEYmGECQgsvrnCAJ8v8Pu6hKby3MM/RZq0KYAKH92LklTf4d3vfWpj//pb3/vx9ct4eVXXkoFcWXemdOOMYw6uUjITBqwXHY4OTrG0WqhhWWtgbUEl+r+1W70dex6Bqr2dosls4+UKdLmYS2ETXVoJ98blPbUCa0KDaVaiHXbT58V0+JQ31OlsnVwCyDKEAkzfuCb3/0b3/2ed37p7c/cPr97fk7/+z/56Ht/9TPPfRMAPHf/8Tsbh4/YPgACLBv38CtuHP/W7XX3QgzMn71//s0Pd8N7AOAi8h+54eynAIhO9srmbLfbFLojGNOq4DqVY8oLvEiEIdLEA2tnnivMjN1uh81mg6OTU0jM9QdVCKzFdLVUDYto2ESm/qntYEv3mHXrnABQxs78vSWJI7+xnEN3ghMwyy7UhCgqjgWZdNuyZxBAlbnmtImicvq82RKe3dzJbiC/PDEExVs0l43KYxBZI5XZN8wWd8V5+t2ywBgpdEUq+pgWg9REMe3pCYCQRW4xEYE0Cp6yfQsRwYdtEmjPdWAmXVP2bMrXZDITgq5sNkrfFwMYi0YEsALXLkqZIo6pJE3ntHg4qQ3Bzgc83lzh3uPHeMOtm6U5nXPKcCbD37EfNClE9G/N0pZSP9Wk0FyaURHJwMFo5jchsZMTuDJQvVUGKfsLWRCGBMIYAoZkAaPhsaj6TmG41DksBFqkbsS667SkD1motXrKBDcCMg5MQbMMDen8yBlk1L5IBkhlzELQeW8cA5zzRTRORKq3qzdyLKUgdOm/kpnOaW2qN/8zxgqatc2J9SMAdekY3SSkfgeAUo3NfAy7HiM0OzlyhDUGXdfhcT8qmLIEyT8lt1AzEzO4kuS7VwPeQ4SCZq7noffkyNCsLShv7K4nztRMpYI0TIxkaVPRMCsmgFqTI/W1HGKc9q/LmPk17wPF3B//IIAqH68LYCVhot7ykSe4GjHv3zKudr7Xb2iNUvcbxgBlqtPX5n81gnE4MyALWukQiq8nd8wXpKnTTI+VSZyzqWI1qef3EZWMkDoj0YBTOCEghBFh3IE5oB822O4u0Pdb5PIiQNqlMcP7iDGG67uQlMqcy46IRBgzTfDGGPzunXtP//Mv3P3GR1fDM4Glc4b6W6vFi+9/0xs+9rXro836aInlssN//NM//4MvPnz8RgD4Kz/8Ax/8u7/6G9/4uVfuvul4sdj98Le+7xN/8Qe/7/d+4v/84Hv/4W988usHH5p3vOnpV/7bH/vhD7/rK950BSI8vLxy/97//H98+++/eu/2+dV23Y++6ZomvPWpWw9/5F/8jk/9R//qn/4CON/vupG5LCzMjP/h5/7+O372Vz7y7ufv3b/pQ3S3jo8uv/Prv/aLf/Xf+MAnTo9WQQfcvPZaBtg14JPkjK3lbyJ+4ke+/2OBGWOIIMv417/7/b+ZgZUh4kXXYrvd4o031g9/8PSr/+4Yggz9iC1GfPWN41/76G54lwCNAK1Yu7AiO0mFnx0cQtCweJ7QmtYmbxmL4EOqK6bhwBCClvMJA7zPGjKDvh9xdbXTEBwxQhQ0bBBEwFHBjAp4TRlDU7+sQdDeUXRIAFWgisuaMTFaQLWALKBwAAAgAElEQVT7Fk28IANwnHaqwra8J2uOVNAq6T4Kao1ZGUti9sZnvlYd13lc6UfrxWVgOS8Llb5WMhmb5ahYm76YpO+SjT4VGIhodq3k5IvEUhmXs1Wnsit5AcmGu4IIA4EHSiajkGqVBPPdtZ5X25KrOSL/xByGk/w9U9tEhpCFjwHj1RaXl1fY7QaIkBZOJ4MQPSQyGgGGGHC+2+HVBw/whhu3q/5gk7TfwJEAHCFiVFAOZeCIkj4q3fPp6lUfyqmkTF6/SKACZkxMhmE5qMCIMcKzYBgmb70QPKIAIQHvkLP/iBCE4dnhqAsgGpJlQUQQhktgmVO9PiOaKOKjwAetPsFRIMiLcVqsWe99zob241h0nNZaNMn7LTM9zHPmxAjApIxW2GNPrpMBSJo1BnIpHqLSpiIVoEiu8xr6nMLY47BLZXwIzkxWDMFA2aqUVCDWgG2lW0qblYTZCqOI6ocOXXN1HycgcxjMSOrPVG3o6r7OzCq/KOvpkz2lIrTfZEYLZt6uXw4Qvtbfs83/l3n/k47XBbCqAU69awaQNA3TMWukyolN9p/TB/Kbpp0ndLLA/msBnTCsnT9Y/V5KURxo2xpXXW/8/c+v0XTlUbOH2kF2okfzrox04GsWXUBMDBLHAWM/YOh32G4ukm+V+uNw2tCUkJY9tHAyhn4HP4ywlmDdlMb80c+9+rZf/u0Xv6eeMz3L6pXN7p3/4PNfevYr3/Kmv/eWNz193jbN7Lz//Qd/4U/sRr8AgEdX2+P/9Rc+/J2/9pkvPvvJ5+88m1/zO8/d+Yp//3/5W9/zS//Vj38QRHh8tW0+8unPvbO+st04tp+98/IbfuKn/vYbBu/tX/rAn/ksExWaWdsvZ6wx/tx//de+7R997De/rj7H3fOL07/zzz76Tf/8c198yy/95H/6wZOjRcxhAW1fbYPZXavukyUD2Jzura873/aLv/Wh3/iG/PpvftubP3myXGKz2WAxcvAUQZ7ByV07RM6IHgSEZdsOwXuEEAsDU2ogeo+QLC7gchiAi1kjkAW1Coj7Xa7BJ+jjiO3ViBBUmyQYIOzgOsCHlL2UdHPLZKBZ7/RU567h1/0+ko9aNzi9N01KJYSXncXzaywk7cLVfzoXLHcztsiIAowoamxKZEr/B/IWWc8PYNYPpKpuQESIZdMGiHDa/Wc2yE3fgTJAy6xA8vNJfUqNxFUg65oGPgZdhEnDiSEE+Bhx8fA+sq2DwCBIKqI7m0/02099S9B7tZyp9R31bnweukh3gxk+ad1yrcbsgQQYWNvgajcgROD5F+/gzsuvYrPZILLANKqvkyTGBwQXw4CHl1vcvzgvn6Hi+wRSyaLekxVdHFVzVO7dCWw/wUpwdogI2KCERevvqcWrFdCE6BGjT358U4kfvQ5tz8gGkYHeqyDdh4DQtgjMaFM4kIg0G1sYIWjh9DH4Wag3b3YzQMjXpQkKgmBC0kGhrFnar6iwMfl9mHpVAUn70ZTpfmdDUltmW2WiFdzHGGEZkCiqIY0MsgRjK1KCBWSUHXTOoUmVSdgZhBjgWXVeJq2DotoA/TxW4FUzYvvRhPoeiah+jA48vg9oKI0Vc+C5ffAy9f3JYNXQ9c4U8xhNgG3W5gdA1XUAOO+H++9Pv1z73NcCWK8PYCV6GdboupOz0ay1YMmINRVkrrybBJP5X0bAs46cO73JMsmK4pXDTBLHurPvDY6iA8H8cSLMzEOlFhrKdYao2gHUceX6uwCTdqTsskmNB0FBJ/6o10hp8vM+YrftsdvtEmWuu3QkF12OAJGBtZMLMQB8+rm77/v0c7800wN92ztv/z/v/5o3fikw3D/91EvfIQAdtfb+tz97+xfPWnf5wqP+mY+89OBfDizd3/vNT33L+7/2Hf94n1J9w42TB3/9L/xrv/iz//Rj7/jpX/n1bwWATz5/59l/8/u+88N//o9/yxd+9K/9jR94/t7Dp7/wyr03/N6LL67e+ZY3b28erf1f/rN/8v/9zq9/192vfOapXWNb+Se//anb/+7/9Df/5Bii+6lf/NA3/Pif/aHPUn0jUpsTgL//ax9/OoOq7/qGd33mv/sLP/rR28dH43/5Mz//dX/zFz70Lc/dvf/Uf/NzH3z3T/7YD38S9SRgBDYJ/MteiRlgrwts1uAI47/4mX/wvv/7Y787a6/v+Lq3fezHvuePfmJztUNjNEwQ+lDEyIumxWfuX3yzpDF31DSfMbBsTFR/Lpno7DzohxS27boO3aotmiNdfC2I1PPq4uICllplI5oOZNXS4dH5FWIQkN0h8GMAlLQNmmVljEELM9HuInC2xfHxcXosu1dP4casfyOMs8k2Z/wRaZYqUc7yAcbe6yTXGMBZRIEW9w4Bbdvi8nKj4ePGlWtRt3nVvoxxBBUNSZp0o7KL+tl5zBhItnlA1ulNHneaiWXKNo5S+RnFA1ZZ4MQYSUzXnHfxgnJvQmBY1yCoKhecQmkvvPACHp3fw+PHj+G6Dv0wANaV+So7eEevmaOLpgUnJ/3AUgTZAEpSwtS9D4OryCYx0lrxgKsNFIxFDIyr3Yj7Dx/i3r0HGEYtTcUQ9TXiBkIBxjgEQ3h0dYX7Fxfl/KZt4UeGJI8oy1GtSaoQv0DnKPW1yizwxHzW4Coz4Lm/MTNs0xStTiE56fr33v/+IQQ1vJTJJLNpGjTQItQCwETCGBmjj2jSvTg6XunmJUb0w4jdrlfgJpJMe1XbSCSwRo1+eQwIrkH0Adxo9qWECGmMtmMlgC7sVbrWwqTn56vvUX8ntc0ACIJh9FNJnSrEldlIYoETNbxdOIelq+o7kvr3tU2DrlN7mmEYEIzqqMhZ2LaBWAMvutGuwWG+L4CunTHGUumiPJd0nsVTL5Gm2SqhZO1W7HLu/9MPCumBqg0k9d/cT4pfVupnuc1yXxKrFg4cp/lp/zX7AOsQMMrAeB8c7ve/J4U76+N1Aayef/FeKcIM0R2q7kIaHSipCK9OtNWAlWnHmUMn9SJRP5ePJyHNOQU4f11uyAy66sfy70Tt7IbNfnfzzMZDiDpWO9P8fmfbNCgngTMQYchC2GO7DZodFnVyvnq8xfn9C1xe7eC9AKSLIkWLyALvRyACrrHXwd7ekSep3/7Sw2d85A4ANmO8/Y8+9+oH9l975/H5W1bLFk1DM3D/gW9732++5amz/nvf+7Uv/vSv/DoA4HS1vPpP/sz3f5pY8J5n33Ln+XsPnwaAL77y4Oidb3nzdt214d7ji8W/8z/+b9/7yqPzs8H7tr5jrz56fAZObsZzhTFi9PjgP/toYcN+5ZOf/po/+hf/ykxsDgC/+nuff2uM8ZNlkjD1jjGZjCZrg/0K7U86PvypL/4RQyQf+Pb3fOLG8RHEepBo8eoQGJ++9+C997b9NwNAQ3T3jcvFr+d2Vp1UTLoUhhHSkB0RPAmsFXgvaJoOBEZMHjEimi6/3W7haAuIBXeaERW8gZh7iEHw6r278FHAoBResDBOzUbXRsdYrtO4XC5x+3aEc+21othEBn5UYOdsDplWIboctqBkk5E9fJKXVAyAD2MBJyKE3W7AxeUG3nucnp6WckE5nXwCJXMfmqLjLqBuXo8sT6ZOpsVCmEvtuJqN08Wf5+xKLm2ShdaJzZoy0AyEHZr1AuN2i7sPLvDpz/4+PvE7n8Crr74KEeBqu4VxTWKWprBzYwhHR0c4Pj6GsQQ/jLjaDgVYZWAZY0R20H7SkUvd6ELIqW20bWMSfUcBYmCMUV27u64DDaOmkRtAyKBPIJJjwO++/HI5/yNhtMsFYrTYBo8opJYpTQuyLuf9wZCG1knyvIZUJeIAE5H0PFmHpBYNUhjChFcLa0qUIgWREUePXT/Ah4DdEHF+eYGLzSV22x7kLE5PT3F6eooweiwW6sZujEHrHNrWwRmLy15B/ei9Ot3HiIgICg5lE5oKbdtUqid4hnceMS4AAI5c0VgBSGV98gZc+wrBlPBvzBSe0Y2w5j5OIcZpM6731Bj1CEQO+qYKFzEIJLBmahqL1qmz+qpZlHZerVZ6LdYgMDBEj2H08Eurhb8NQUzqO5C5/cgeQIyQAqJy/8wZ2jlMl/scUcqgTrq1Eg2o17nKwHkKlU+ApQbXLKL6MezPv9pe1xmyuu7kxLTl8ZSPfbZqLpqfr8/76/khoHboeF0Aq7uvqrfKdrtDSa03DaxtsF4fYblYY7VaoW3nXhhEEzo1RmCt+qqoBmJqjFyQU197PdMh77AAQEwVHtijBiNPN4qqCSNPAgCu3UB90M3+Lu8VZcFEKrO1/LlpMWHOse+oiyIANgJLTkE+J2dnzxiGEX0/YgwRLEgFUDWkkdPF1RuIgKqfvvvZ2x//7m9868fHx4/Q9z2WR+syODf9ONkwP+GILHYYR9d161l2wVc9c/MSANZdWx6/eby+zOnDjbOlsfrRW7DgP/+pn//Gn/nwr7//SZ/lY7TRh2uDhVnFmg8uL1/zejfbvssMjHovzSl5AIV9qeuL5YnoJ37k+z/+n33g+z7+/P3zxf/1q7/1VX/7w7/5bSxiPvSpL77ve9/79k83je3bluCaHsYAn7hz/4+9fLl9LwB0xrz67Hr1D50xQfuDBZnsYiyQ5NuSU/aJGr1nbBADAGGkLHqIna45b0ycbUHWFLAdoiiI0lzvosdQUfzcG24aI1Mh0hhjurZp0pnYIWVA9f0AwNq3JZ8jj79pnOoawqkUhkn+ZB0ksa75ljIDfpzuB9N8gqvvVQyTFgtAmQtMDm9ANDsrMiJpqLMxU4ZRBgEEW8CVSV+KibSxM1NOeVdNYBAiQ3VW0Bp9HAmjZ4TA2PUM05QwcNLgMMQ1CGwglJgaI4ARGOeA9DpDAkPZdHIvNFEdasXBgJmGHqeFx6aySOoZxXAUIKwlqzqnCQxAAgUgeBAaY3C+nQr63nnwECcnR2hbB9O1MGNQd3nRbGeCATimjWFUgCR1xui04MKglHHSaW3SlOlGifXx7HFFBKQwcjb6ZGbEcVCgkDxqTFoHhsHj8eMLDINHax1WPqBrdYOgWqoWrXNgVlZzjGMBDIEjpJfS50UimuRFZowBJauMCaTpRt+AihUIgcr3k9S6nKdaQRFiK05KSRszVW0aIyl8LIn9YdSFgdWw1hKBjEmlvtzcaNo6RBFIFA2lckSQzHInB3WZpCmZkTUJ3qZGnYXUJxYLhUXKm4zS75hn80h+bf1TAFglatxnkGb93FAB6/kzkFvtwGZ3n2X6g7BLc9B2yLrlugj+tY7XBbDa9j022y0uLy8RQy6f0qnrNjkQLdC0qt2wRmvV6Q55uinWQqcHkya41AlFAFM7qiOVe7jW4BnsmNLRkAXueReGtA85IO4tC3K9cyk7GHPtseljE8uTLpaqcwkzKIlmiYwW1SSAokHKKdYdjmfsdgP67Q7DrkdkAlI2DIsFs+oHOE5Ucj2gRURFqXGeoSgiWLWuzLJvPll8+nuevf3hxlqcLI9x++ZtnJ2d4ZnbZ1guFsXsMB/WORaJiLU2h0hYAuZK4Skb7EOf+szb82M/8SM/9I//3Hf9Cy+sFh2/89/+8T9/NQyL/Np0gdX7dSd042hdrvcvf+BP/dJ/+Kf+pc+LCDgxJRFJx1DH77MjchngUzvEHG5UQgbGmCSEtXjjzZP+3/r+b/30L/3W595993xzS0TMnfvnJ8/eXPcm9YQPff6l/4+9d421JdvOg74xH1VrrX3e3X1v33t9X8a+8SN2LnEsOUEBJY6EYxIsIZ6CX/xwJIRByl9CgL/wIwLxUAwSCCFLIOHIjhQpEiBZso0wcZwEm9jX17J9H337dPfpc87eez2qas4x+DHGnDWr1trnNAjEQaJap/fea9WqVTWf3/jGGN/40+/fHL4PAO7F8I0v37v6HwBKIpr5o+NDmlI1DZsJZyuxq6DDmRub62Knm/s4njAMyjJ6CvDsbYMDQnSWZUezeL8rNQpVhqN8v7JFZq17ArM3MT9Vi9dAWEGauCqcLxfTEmxumxQYsQvWRzpnW0sWKPpcZsNz2VxMasL6OPHSHbJIVZe8mF+LLEkXahyMsGkpibIAmsEGlFggIgZElcRL/XMiLARoAWDiCbEnJGYkN+E0ThgzY2JByqrRNU6MMQkiAVk8chYMg7qVpXc6R6HFz0MX4AfW729ir0SUHZS8TENXQ6xMMlLDMc9smnNc3S4MhuSkGymcNbPGDCZoyRSx72TvkJyHbwj23/32N/HW8TEeP36I3W6HnrMqlZPWVzSJLUjOcFSAUp2VKDFL2aNmNcPpmlz7EgIyUKVgnOZCxlld8ER6z6HxSPCUABZ0MSJvdpBRWb/97RHX+wMyyMRoRwTvcRpHBUudurbHacIwHnE6nXAaBow3E9I0mhs64GrbY7PZIHqH3hMITZ1Sr0KkZVy7splDx7jOUSwYmMrE0JJtJ6JFiEsFUdZYgrIu2TzzwSQNHBAiEKx+jx0jK6udOGFMyZIsLEmA5hhEsXFdAj/XRIL1oLJcLLX/FvpbFo/VfrZljss9t6+Xz6x34GxgtBVPNeutAut5bwaagWbntow217a8y/U3v3YZgLWYoZ177dpz1/FGAKsWjaaklJ4jhou6SCnmcCBEOKu/pUyCWvm6AHoQBSgq9wAsrVxEP0uzXx9YBbIvDo3raP0CpdPIaXC28zPl2IIgQAXb2mcCZobsde639ZGnBFCGSABJgpADQTNBnDPfMxMO04TheFA/elKrVCl0rwWXE1tSocOF8QMIg02Px3uP6OY4ly9/6t7T4GhILP1716c/8psf3nznhz71+A9PQv63P3r+8B/+1te/5L33f/Wf+yd/9bwt2XSCzq2ytXSGoGwKs0LJo6vdeBxH91f+m//+qwVUAbA086WlUQb8T/6JP/aHP/8r/+s/CgB//W/9Tz/6pXfeuvkzP/T9H33zgw82f+frf/jk5//nX//eP/1Hv/LNn/kLP/67zIw/92//tb/49e988BkA+IW/8q/93A98/tO3wBwLou5mHUc/+7d/5Xs+ut5v/8wPf+83v/ez79y+OBzd3/jVv//lj673jwHdnz/31sMb4QnDNLpf/PXf+XNPrw9fAoAn2/5r3//k/i8dTlmmPGvpiEgN9iYKWGg8QcFUyowxMTZdUG+CU40djTNSl1vOI8ZpwDAe0NHGAJDq8JSYmBJYTFCmyHk1TDVZQeyfMShkwIlSZZ+YqQYvp7QsK+EcNRtAu6jNMU7MDA5zqZsSjE/k4ZwGiGfONmYUZJUMq5LE0roCy3fNI0h/OhNrVKYtFE12QEjjrB0gyE0NTtHM2GaBLbFxzqlcQHtMKYFiBEAYU8Y0JQzjhNMwImcoaJIAYIJAg6RVPRwWPO+hZW88CEHLeLgIR4IkSd1P5g6FuKL8YC7JcwtfRJAsFkhEjbEsDBcCXGYcTypuKaJ1Ksmp0C4LQ3W+dLlLECQHdA378YdPn+Ll6YAnpwPu37+Pt5zHk8ePTUnbQxoXZ21/5WpMT6u4ipQVjMaGSrN+6t/FthTkEvzuCGLgmlj7swsBm14Zztv9sSqil6oOjjSO6vr2RpmalLCJHbwnxBCQY0Rij5RGDMOA28O+llw6vtBYK0fAZrMBeAdmRh8Ddg/uL+LKmFVgtDVEbZSZ0d8Y1fZ8JIRcxu/asMWSjZ3XUrIAcl89L9myggXAKU9AciA3x+Md0mj3x5jEvrvdl9SS15hRt9SEq89Rz5tZIHYEZF7MXwWOM7gqbr4ZrLRMuFTGTr9jufcLZsOo3EMhKgrrXa55dq+Y7ewWoK7deetDn+3s5cVzr1/7JMzVGwGsCjjSDskNymx8sNWFpQ3LmfTuy4M7V/9ppo65S5pv0X1FPfq1M7AEV0J19asNWwGyFRlVZeHSoYWpsgwf5887w81pq2tAdhfzBeiG5xB0k+MAllGtblHfs/ceeQLGccTxeMTpdKzpyWxsx5QTJlNeL5jFr7IChQXTcAJzQuy1BA3Zwh4c0le/8OiX/84fPP+zAri/+/7LP/t333+5uOcf/sJnv1bdFXc8S9vXlwY6WVv8qe/7nt//b3/5194GgH/zv/i5vwgAV31/2nZxPI5TBzR0cHt9Gyc/+aNf/eDHv/qD//v/+Pd+6wee3dze/+n/+L/8qfUd/Knv+0e+tc4A1EssM7BESgimAxzjDz54/vAX/5f/7Ud+7pd+/U9eeDD82Pd96R985snD49MPP8TX3vvw00+v918q7318HL7yK98eFtmOb3v/N3eE7zh2ULUzgUeYwQMK+xK0LqCf4ws1ODupJQlAZEJKI8ZRi9Z2XQdFEaRg36w+RwFMpJur9+hIy/10ncUzRmdZgQCzlZ1ASXf2KHW3UyPpVmIbpZm7paRFYa7K5lMCrWPoFcykrCWPfFSXTNLYKrXiyQLT0eQplHgpGGNdFvjlWGsX1JY5tplarwMYW8VON/JmcS73W6Hb6noldmqyosuJM4YxYZr0uVNWkJpYE1HIshATO43ZGTO8mwN9iTS7T7Ac14XxLlUXFvfCykqpQWjrEykAi7GD98q+jClDWJlAJ8Y+kLl/DMdkCCYRTA2bcnsaMErGfhqwvX6Jl6zxYUJaJFqBFSMWY5dQ76OAtrJZOqe6VIGX6+CYEpzTkAVlqrQvylpSmHYPQtd12IkgxB63pwHkJ0w5q6RI7msNzDFNGE4THI5gZq1zGpKVhdJyRPvjLfb7vRqkklQCyzlEiy8lE6ck0sLU2+3WBKQtIxdWUD2gClZWV9+Fta+OoxWT1R7rMVbar6xvwoRJbM2WhGCaWS1QO07JKgkQxOY+O3VTztcuaxxQBtUZ69ScV40jN7M2xXgRkcqqlmNmqFY6Us375aeIuYZl/q51e6zb8y5wcwlIrY2Q1x3tOSp7cV7B43XHmwGsHOlEcrqBCQp+0tdVDlMWfwtxte7tIiguk+U/1N/LAJoNjHOdC/3dWCsAawBSqfgLHVisl7OB0Yj+tS4TvZdlUG4LBZ031XbSchUsACcN9BxMqyqlhGEYcDgccDqdMKUBzL6C0pIllDFXdvfeL1JXRTS9H0aBxxjBBCTbMH7wsw9+7553N7/1/s0fe3FK76bMfRf8+GC7ufnKu5/+9k989Stf12erTWxP8poB2A5QA5//3r/0U3/vOI7hl37zd75yGMb+i59668N/91/8qV/5mf/8537iVcCqTWf/r//yX/rl/+gX//b7f+NXf/37v/HRs7emlMP97eb46UcPXv7YH/nub/4zf/JHvlkm8e3xtAGAR1fb2+966+FpDaykAYI/9n1ffO8Pnj578o0Pn7+9P43bzOy2fTx99snDj/7xP/o9v/Pn/8QP/P611WH8JHRxEeos5+dMUKbVxhU8CrPnnQbQ6nCxeCyztkIIcDlDg0kThJNucmWDA0DO4lQ8IZA3JisgeiB26h4JvmTl6beP42BWerDvSnp9EUiaU9cLu6LtNTM9M4ie51luYlXIq3SFMg0WIGssg6PQxGa1DFVZgG2xI6l/X6LuyfSNCK6CPYd2Ltr8azNaHSFQszQyGmNPtEg4M4ZhwEhs5Z0K4xpsfgWEoHpwxUU+ptHMMl2rnCsB0BFFpy5Zf5W6dblhQzzNtczK+uNIS5+QKbYLafFjL4JhGFQRPgb4KS0sec4CF5UtY+G6sWVhHMe5xFh2wHEakW4yro97HA8TvvKVr1TNoTRNunyHgJySFl+2W2YpjEFu1mINpi+mbL0fQN1pgOEq6x+ZsxyJNExkC0IXgbefCI7DiOM0YZyylpyBGsr78WACmbB+IgQCTt6Dc8JpHLDf3+B4PCIJI0aPJw8fwzmHvuu08gEIPhA2mw22261WlTA2L+cMQWFFNcRAXc5F6b9ZQxYsDS3WPR3Tr2ZBWiCjyTZKMHAWJM5w7BAaWaIpJ2OkvRZE9hq+UIxXEBWFjNce2Yz4MwFnkcXcLxnz8z7XPl/zs7l2C67aZ/XtnmjXa4VI7wJZ6xJcLUh7FTBbZ7O3RwFW7T1/EmBFn+Sk/6eP/+rf/3f++v72aOBgBMGh77fY9Pdw79597Hb3cO/qAe7dewDvdUEXXrrWvG0Uhaodx7G+Vxc7yxbKmOoAaAdJS+u2HVIGdaR7dr1zd1+Z+G2sytwJMxBoB2QrQrYetCKCXT5BvENGBpyAXALzEXm8Rh6vcbh+H7e3L/D06VN88NGHeHG7x+FwwDidEEOPMU0ae2VFmJ3TeJkYNe5Ey0roBnE6nZDkgIf3H2C73YHEYTpNOB0GpCGBxwwPj03X4/GDx3jrrbfw+OEjbDYbXEUNmg4hIISuZnQ659DHrvYJGsscAHqrCViev9aKy6uNrvmMC+eTsbSbd8uJ1b4naViAWxHBb3/rO7sf/6v/4b9CBPlr/+o/+zf/wo/+0Pul7bPJfEyzbn69FqBUfhbVhRqmEcdxwjAm3B5O+Ma3vomPTyfs90ccjiOGkXA4jnh5c8SQMvanI6acTPtI2QZChHcdPKa6MRVh0i4GXO06XG16hOix6SK6PlTl7qvdpj5XjBHb3T1st1d49ORT2Gy2qqQPD93MNU6qD6rG7mKo2X9l42jnRRmfrQuk6PS0SvqOfHWtldcK6Nl0WoSbiDBavbW+38J7j5cvrlVOot/i45cvkLPMLjCa3QJT415kXupCFa99HSP2TM45bHy3mGvrhIdyv+2cJdICyKUdxnFcBOZy6X8CjmnEkCa89957+J2v/y5+7Tf+AZ59/CGORw31G8axfm8ylXIfPB4/fox33nkH2+0WIoI0jfM95WYTNRmGMtrXpTyGIvPCcxxOBbPOISXGzfGE43HAcRyMzeyx3cT6TM50y0qx2eg83vvgg58GgO/93Gd/VkRA1v6PRPAT/8Q/hu/69FvowQhZgXxn2Y8uWF1QJ/AQOMoAMeIUkSQZoDbjlpRtCRa3FHyEswBrb9Br3KurT1gL95Y6hz4EXJ9O2A8DTtOoQdrWN3QlmS8AACAASURBVCKCPGZMrFl/wzQipRG5gG/RgFMSAVhdwl2MePvelRqWlhEbbV5suh7vPHliqvGqJajudf3cPPYK4M02RtNceqjEjUkZh1J16NpxPZlm1yllwGm9ycSiDNw04jhMOPqhifeKCpxdxL/+n/x3Pw0A/+lf/pd/1jkHFzzmJBxBqOK153tcmd+XwM56f5pZaULf91gfM0N82TsBoBaGL/embLUmJQnPe3E7J9eERnmWCvrysp7oXXtrO5fbPb/c+yV26tL+/Of/jf/gL509vB1vBGO1oYBEhJEZNGVoxKIH+QGYOmCMQHcCTVs4aapQpznI2IuAOAFW/ym0jW/J2k5UnKwNPpeGCiWies2Fu8zE2sSsSlcau6FntKyAMgte7By7hbpRYg7udKSLlbozeK6phGJVAC5EZFfcjMoGIDOQBZwEw+GI480tbq+vcbjdYzqeIFOqVkS19CzLBjAZBTfrkaRpUItuHOEiIYQIMGFKGeOYTHzUsoyCx3a7xb17O+x2G4ToAGLLkNHJ7VwBlk2QKS9T8+cNcK4RVzdjAExcefP1BNdyO+vs0Nk1c+nQjWHl3mHGz//qb3wBAP7pH/3h3/jJH/nB98uCgebcAvZKD5aDoeU9isSALnK6YGy3W8QpWQycgFOuMXhlky7Po88cbMEls/LLIqeME2fB8TBAUkbsHCRr4uOmC4jRY7PZIXjNjmIIxmEA4HA/ZxxPJwAOYx4AcQp8WZBg7kI26QIGkAWZZgt6zpBaLorOOXQ+zHPPR4SgcSneewS3BNJh28NbwUySCdE5dHZuPA2I/Ra+73CVH+BwOGCa1D0oohazcw5ksTwlXTvnfCY+KQ1ADwba60bfxEWWMVMW8tLPi02lCo1meNL5XBbq4JRBH1MCZSB4BwhjGk6WcOIQSjxm5w2op9qW3gd0FOHZwdv6E7zKtSROWs9QLECdAB9tQ1yNae0LK+yc8ryBs65FAtayUk5HbAFlBNF1hBlCjFyK/WKuHdn2tc6dsubOtVtZuKbja0yan4GDxf9l0pgvp4E+Ft9GZpg0LKBopmGpEzmyZdU161gWlS0QEiQLhdhdbdHLBkwmLyEKYIN4DNOosVPj0eadrt9dF9DHiOAIwQLiQwjYBf3ZRy0G78gjmKHMBDiyEkCkWY4iDExTNehIiSSUig7MKgGTC0Pa7Bg6BlUrrq5LJdAfUt2zFQxAVKyVUI3Yvu8RTaeqTQYqRoUKQZf1jBfr3xpA5JyXIKX0MS/ZqsW4aMDORQDT6LBdMoRbRmlxjdX11p9bn1+uhQYwteeUey3rRntPl75j/Rzt994FFNfHGwGsdPJblXtoLId3WozWk77uqaQgS80+EVHK2BEQitug0qqzBQfJiqBEdIOjuYCmNJscwf62zsWq4QvdjhKQ2y5CVFJ/yTybc8PX8yoLrM9QPloA1zzQCjIvGYkAQ5Wec1IaX0SQp4TxNGEaRuRJBQItG02zgPI50PjP/tbf/+n/G7vu/+PHvwUA+IVfwx//hV/DH/9/4w6+fG/3syilP0zwtSQZEAXA5oRINiBQYkUCRDyKm22z0SzaaZpwHMZaHBgAxpwwjGrNMTk4F5GmhAkET4QgUMkAlzVwGPOims0d3C5o3ntMietCHAKhIxUbJTgkWJkVFCPBAebGIlcC54POr9iBYoALHcQNyCAkWIkNglqvPugGIVYWhXWDyc3CR2TKzBZWoM1IEPJaABmu3lOd385+ByzLbY59YQOCDh4Iuoa07isC4DxpoocTXcNIy5Z0PoCC1PYGgJy1fUUEFLRorgeBcgGclsnIYqAIZyxbuT80P3W+2xoDDSQuyY5sbeDrwsPwUGYxeI9J1FmvMZtS47vONtyyUNl6otl7FgsHLU4+M5lSwYNYTUAIkMCAMBIrWNWYuWI9ASMLfFGk55l1cwbgWBhZNLFBheKTaibZ/qDNLApqAXDKCI7QBQ+iDfomIL/fRHRhLlzsiOAguNpsZqbE1uEsGcgCT1EBL1lpM52mJmswJ2goS6tAJkkJcK8NYuERGo/GIot/M6OiPSsiEFAFoKXfdfjaWG/GZDla0DFvX3efu359DTjWDE97zsx6zuCrGqg0X68FUet7WN+LlnmChsBYSAGsP+p1mn/1vi9da/Xz0pGb/luzYuv7/CQhHsAbAqycaGkAJ0BwujhH5xGc/STURcs14oiwxVQnRnG3qS+fubAUXJccMrYI4TwF9BItqNdrB0TbqNT8A2pNJ5LmX+kooIClmfUogaZlwHAdK3o9QCiAKQNFWysPyKKgibOKT05TAVZJ248cJk7gkn1zgdb8/4835yBWnRq1KGcmsdRoI1gZEes6ZlRNsvovCTaxQwwdxhAwZdasp+mEQCovwhBMWZBTAoFUmJIInfNIyGCXkEAIPAekFnq+BWlEJofiA5xTjbhIWlqjB9DNMw0l0D57C0wWgXgPJhU+1bnoAB/ApHXvODhAggbdQt1G8B4kZu2zbuTIubJIjOVmUC1v5xC6eOdcb6VR1kaUGLDKUIkXIqdp/5BaGcJB4yBdYkRH2HURV9tddd+VYH4AFZwyM/rgcbXb4V7fWxkiqiVt2jiqcgzDsLzv5j6zZd9pjFT7WafZiyEoiw51lcfgqlxAzhPWmnY074fWEAYFuNSvA4BGEoDUWM1E4JwRLUFAYyatziCRYTIyJsvKppSN1xPADairwIq1fIsIUlaXoNZI1eD8EIICbAgIDt5RTRQSp7UBgyOM2YM5QmVEgJ25vbuoCuUl5q4PJTFiZkE8YBIlinadiBYAdgrMWQScZv22yvZaBYDarisW5NK/bO1SNKbEUTUeaoyffW8BVeU71jU/X3e0AOJ14KOd++s9pAUgbexrITcugZX2/AXjtPqO9r4uvbYGandDp0+2911qi7PvuNAGl443AlhNokGbmRzYeRAc2BRiswMyOSRYnAVpXJDGi9Bc/bpY2sZmwVsDiJvPKcClIaXK2F+CH2jR9tqmJTswL+77DIgJamChjSu71lKbpnx2QZ/Wk+drkQ8quegUKCbR2lkwyzJxxpgmjGlSJWv7qFZ/Xw4ATa2d//6Zf+qrPzsOgxZsNlHKza7Hg3sPMY4J4/GENCZIUjfDNna4d7XF4wcP8dbjx3jw4AF2ux1icNgVHSRXNrESr+Kr8nHrBiTTUOoapVznAijM7sNCbxd9qdklkBYguO2DS7WkAJ0Q0S0ntTQL1pCmxd86jvRe2VFlI+fPWd2+rFlhw5hwHEaMOSFlwc3+iA+vb3B9fYsPn73Ax8/3uN2P2J8Srg8HHE5H/M7++NO1r0CAmO6UlFTsDAXerBa5LeblEZlZVbW9umxLm227iJwFN/tbHI9HbMgj9Fv0YYvgVHsI5BE2V+ois5g4hAAJAey9ClUCoJxBKcE1jFWJIdwYIJhLiXSI2y2c99hUy1/7ZtO5mmhR4nm6vgeRx+SCBj4zobt/Bbfd6ALmXa3lp2NkmeTRGg1tqYxylLERo79z7tW5cQGwJK+loJxoqS3S1DRlJ4w9lJzQDx7jGPDWk0f4wuc/hwkBh8NhdsPbPac01dc2XY/tdqvK4NbWh9MezIzj8VjFXotw5baf26HoO9V1I/u6ic2bHOyaI5yPuL3ZK7PEGYDKOgQDssnaTtX/NCO6dX+TcnbzfLDvT8xwzKrcLgQk1c/KwiAJysChGMCuAiDNCtWA4FKzNBNBMiGBa13GsqqWOpOZ55pxRCUwvmRD6iggIXjS2M4kGYEI8AGeykaubdV3HTZ9j87cxPMKrnytEM9ZqE4zzcvqyiIWq1USpSxsgea9oWjqldJOKijrTGl9XkcyZtHhYlzV77FxU+P5zA0IaeOKjA1to+MXR0leuQwEPgmoWrM36/PW7sUWKBGdf6ZdZwvjtb5eqSBatK5sa17cZ6llCJRz5udsQWz52SafrO99yfCdrw3rz72K/SrHGwGs2Hmw8xAfIT5BxCFTMEBFSLCq3ASUcje6+Ko7gYksVdrgyUKzCvM5tpEXwT+dRDPaLZtBOYjmRhcA7JaLu3NOU9db5O8J4ssmWDpl9l3Pg+4yQ7a4vneW0quTX9hBgrqNED3E7isXWtnuVzNWiqL7fF1q0qilcfNAikBlBDPAU7bCwGWw6v3H0NcAZx/I3JnNgHQCR7720VxmhNubwDp7AwAyMgLmBV2p5Dnz81WDv06QO4LXS1+Wc9uJV/pgze7NnyOovZ+t0K25asriYMxoYVQ1iyYjeK+p4f0Gh03GMGbEdK5MrLUe53Rp1R8TwOKtdJPToFln1e7Vop7B1TRNOB2O6LsN7l9dKRth4M97jydPHuH+47dx9fARyHtMAri4VTC92dbnnF17cwD7XNRXjwKkNnaOgitlQPpui+A9+j421yMEB0yTxvGVIPa+28I5h8PhpOD0NOHxdgvvS0kbwNt3qJvp8lK1nk/n8wuL99pnbY91vF5y9QsQIBocnhVMEYDpdIRwwmhA6PGDB3j3nXfw5a+o4ORsQVtx4HGqYyb6gK4PizXhcFSplOfPn+N6f4vb21uLN5tqLFkRq11sGKZ70Rp9xaA8jQOEHG4OR1zf3mCaJo1VSxmI1k4sdc0r7RKa+Tm3nYHrZh6VjR+27uprVAElSN13uoppWa2cVbhS21lL7IxJQGzGTWYUkVwHQrT1OVuMnVaTMClJi5HjxsUrWfcPcIKDoHME8lpHL1vG7SZ06LyJjTZApzBQ0jx3bVMiYwdZfaEmpcEsNfa2pOWrC11j6gI5eA94n9XdXtaNlUAy2R7mOABuUmmMymRLBaZSz3eqQVX8vnccl1if9Tq3XkvnmNi7j3aOta8tr3l+Y5eYuvb1133vGjQtQJC5EItwsfCsjZVzmScFrVH9R/D4pMcnYauANwRY5RDBsQPHCXnKABxS8Eg+YCT1aUfvMHkH+LnOnYutJbds8FYuv1oNxQ/srap3c37pgBJprkDBzR0AWPHic2DUIm8XgqWyL8HdenEvr9Wits39l3/e9QAyXAgQJHiKYOlAYUQ6egVXjiyY0ihrh4sT49KAKAtZORy8BVxmSIaWXKiLlMYkxBLYiQKY5jpt87/ZLdpSwu33lnOLBewMgBWtnwp+aXaZrtvrknVx93GZsWrv5dIGPCMy1Y0qn3ei8Xjt+HJO4EmVsp0DuhA1VbvPGLqEYTpfjPT3EiET4H2uG1kLKueNv30G1Diow+GIq3v3VTG6i8qgsaDrAz7zmc/g89/93fjcF74bYbPBkBnZRzALtrvdYnwQUQVWbfB6uecCrELT3gVIRz8DMr1fy0CSjGFQwBEsYWGz2cB5j/2NZgLv93s8eesdC4APlr3aK1uQ0gyESgO0fd0YUBCpDLH+nRdzWAebzWsrco0y79vzyAHQWn2w7DykEUgTQITxsAc4Iw9b5Ckh54dI0zs4kqsZyU6s7yDG1rkaj+OMYSoCl8ekNes+/vhj3N7e4uXNNfb7PcZxxO3hoOBC5kBuKWA8lSYowEcz6ABgygwWwkfPXuL6+hrTpGOqzsuqgZYRoDFfxS22mCvaINbMXIGessmwlWBmzcqlFeBpYo54jclKOWl2JKDK5aSgCbbulIxIIoKnABf1y0qckRplFqtk52mi8Kz15UDoYjev7UQAMdgKVjsiRDhE8iA3z/fJssVF1OVWjNJ2T9HkDi1iT1wSBQzwssZCKiun9UaZGIEKsLHLsMbCSXXp+XnMOpszJpSrsYTNvuE8MkxSA0ApWXYJLM3DWZ9flg6XVwKjV4Gc8l6Z55feA3AZoL4CWLX3den+ymuX7pNIAeale34VWCz70/pY78eXGK9XHW8EsPqJf/5fqOxJzm1B5Tj/bsVil+re55tqbTw5l0SYOzzd/bnV6+3vfMGLO290q3V5te63f7e/FzKg7a96Dc4q1EmAQwLntyHjLVw6IA8vsb/5Fp4++zak80CvqdXM2Ri95ibLQuXn7p6sAOk4jjXmIsaIPE7gJKYjZG0YPLbbK+x297AxVsJ7j+g1yUA3Wy347KvkhWr9uCbWhtwSWBSGbRn4mACn9Q/X1sn6WIPWdX8tj0pBmBUIVEVx0ff1PoolXia+bhsOsBp78+QOogDAgxGL7hAID+7dA8YRfRjNBabFVYUcnt/cIjZFuYnEWDDGKR0grlD9tvFUUDkzq4AKFI4CMGsfvOQB0WJH3nnnHXzPd38Zv/+Nb2I8HjAOB7zz9mN87oufAwysIG4AOLA7F/Zbt++ldvfSspB+fYIRnTrweTIhUyEIMXYP7ikAEoF4wXsffAvPr28wYMLnPvt57HZbxERm/DAoqEGF9f3UP9tJRxWQnt1TPd0W08U4aZ9HNyKIAN78UlbmB0SQ8QSWAePxiP3LF5iGwaQxBKM3541IBQml3zT5QFFHAUiAXt5yAfHgPuFqt8Ojhx6HYVvFf8c01YK+qUm4wRRtjI31OYpy/ZgYzgfsjydM06R6d8cRjoE0DWDTSItdP3sB1gYZoQotC2kgdXFRRiIkzuA0YRO1LFFidXH5PCfoeJP4D6SxdD4pSMyZzJAbrfCxgfiGWWeTEinZXAkZweagYwFRgLeYKxjY8AJsu82i5FLZHEubRxfhxCHlOSPbRQMp0ID5CoTgALb1SxwkC5CBDIujquEJaqjmnJFZY149CJkFEzG8K5IkGqCemk07SYmbzAqgnVMhU5ORyGSuWzbdN6/1KbkyMOdVL2q9TtOW07ysuX9L0HYIYQEaWkZ3zfCvDdE28LuOyTJ2VuCpGMavuh4RgfNS2b29n7uOMscuZXaLiBW6XxrC5b3yDOUei3u+guwVkPskxxsBrJ6887b9thLsFLd6kKUr7vyYO3XRD7J8W+j/2mPPWUHnAOpszV8Am4Lel7cD1Lj0y4dtTq6e6wAXgdwh+C0EGuuRJRn7lpFEdWgmq19111E0corVsek6eBCmMvhm1h+BAnrfoQvmBnQBoWGpFnojbmariIyJoRkctKwWrCzRYuAS7L7OF3giqlb2pWM9we+aFO05zrm5ltwFq4kLO0VtNQBTHYbGhwBQl4otHM45bL1ee5oEw5BwGhnDOGHTBWQJi+8hpwsymSW8uDcbyOr2S/BiUS9U+iqg74J9z4Sbmz1C3+FTmx67qw0+fnGNj599iI8//ADf9flrxIePANejAAkn07IRm4FKF+aZshDt68oKads1LiTOGibmAE4D0njCeDqg77pat5GIMJz2ePniOT54/31ER3j84D52968AcC1IDSLI+j7L91waDmvAdGm9UKR68Zr6/hy7o/72SeXT84RhOGI47rG/vcX++hppPJnArmAKM6uprNAsHlpdqsKLRZ5IKyRIXUssyw6C6B247+CcZnAqsJrLCVHoFTBMtADJLIIoACji7XfewpMPPsR3PvgQp2HUMWVFgNsxrwkE0iabqSFLZPX6bCOyZ8ukbF4BBgRCEAGBTJ6gNaqs1qVzYNJzy1dz1kLaORV5mJlaGadormFrT3EqC+M8Shw3zD2viU5eldMbd3YJvCdmeJQ5pWtJyYisDJ5I+VHXICLLjhRlYcX0mQSlskCeN35j5Zg1m7Kwv7B7yQSQrSHZ4oEZhRExV2Qju8AWElBBodNyZc75Zn1Y75PzPBUBNFMxg2jW3GoBUwtGLhmpl9bSsj61AetrQ/gyi3buuTnfz9VLoS+T/V7ur2TyLNegste0z3fXmv664657e52h3x5vBLCqnVmRR9nEjD6vBTtL0drXN5A0PuwzNgqXF2k7uVyguVbp1LA4BYsBiNXnmg55nbLr6h7L9zmZlHkj0c2LJ2A6gvIRMhxxe3uN42mvGYFUsrmWOlzedIrWQYLt90aLBxJzfWhfQLNzGBCeFdmDi7MYq4uIvhVXXLsEMQMr11om9h0i0ElkwqCQOjk0YHx+vcQ1ldI5r2JT1hN3fX5p62KlF2DVtpHAiviiZJdqfT67ggaZk5YgQTOJHQngPHoTMt1sMna7LYaRcRonrcvXBAdrxQlvjkCymIyyuDVB9lIAQrG+NaqmWnnQzLKXtzfIyFXY0IHx/NmHePret/HxF7+AT296lNqQIFqwt+txeMZetItVtTIaC4bn87MptJMTpOGEab/HeDwibDdI3iHGDgJguLnBeLjBsL/F7fNnOF2/Czy4BagUnzXJARoX93QJUF3SeeLVa3c933q8FBAjoq7dzJOxuRmH/S1O+wP2t9eYTkd9PWtwesngO7smNX25yhYjIoxpWLzXbk4lrJKDbjZkLi0iGAuUkEkdQ9oFYrPKgcXj8eOHePLkEbbbHi+v5/nnnKuFwFvX1+IomwmhSlyophSDWUD1d5NbID1ZALBkkAMyC1xmgLQOKYKDY5UiUGZax3ZKCTylus47EAY/KUPjdP5lYa0yIBrPWQwtB4IXZas8Azwl1VNDMSIZJUydxAHJXJnl4UBVpLU8MEG0xmPDMrGByTo2RDBxhnPGCqWMlCddF7y59YgwkwI0rxeku4Teh6tzJmN2ferc13grhrHZQctWkZWrWQu6lXjNYhyrm1EWE2QNoO4CE68CR+05axZKR+FlsNYeF9fldo42/+wD879ybXvd+VWMLnA2n8pnWqNmGVd9GfS1n1kDtkvHmwGsJM+WcnkQsyTgAqh2UBmk9lCUrJEv0IQE1JG0boTW+j2jnso5Un/OnbrSsGg/ux6A7R98N43p6ueazq2vZUD0GSUn5HQCjwfQeMDp5hkOt9cYj0cIZxNlBAgJ0yg1zkvgZgq4CUot1LrWh1OwpPEeGR4aGMnZgjOTVCvJe49AAd4HE9aLKMVBX3e0gKv9W+M2SvmSllXiKhsxX8Odnfc6mviue6m/YwZa1T1j73vFMjqhDOhQZSAbhswyyJIIvIHH4Al9F7DrNzhtE/rTpPFpY7v5zjFqnQ82NotUBkMkw5FD8LD4JEDjRaBj0xmV7QjTmDH4AUSCm5sbvPuZT6OPEafbG3z0wft49vR93L9/H3F7hQkeIA+POZX/rv5q27umd8/WRfOJsnEBc8yPYByOGPd7TKcThnFAxwzqe2QRHK9fIDLjXvQIKSPtb7B/8byWhanB893M0gDqYlmMFT5fDAHU5JRLz7YA0mfzdwZCU0pI04Rp0iLnx/0Bw/GI4/4WGJO6/GyzHbkFqufX141yfpY5Xmm2zMUAtJ5jBpIHOhSQycr6EEGyFvGGzW8PNoFR6zcWXF1t8eDBfWy3fR3jRFLXL6YZJxfhzsV9E1WOoI01KWzLYjMVUX0pMeYHWaURiBB8AHktJjxlB5k0HJtzxjAMGA6aCCB5zvxl7wHvsA2hSWAgZa7gUNAJQWVIkBKEMlznAQtxcDwbJESkBYxF2SCQJoUoaKEanybmTiU7r2bpMSNJkR9RBilJNtCmQsBsbRbIm5aXBa0rypsH5oW4T2WpyjixGnrcGjRztQMFFb4JaW+vVcDAzJi2M3XNHl2Shmjvq6yz5WdrZF1aO3TcnL38f/pox1U7Zy/N6VLwXZ8BKDHA7T2SGR5ibJg+T1xc54yI+YRMV3u8EcCKb6/r762bZn2cdSKtovEagLVEnWdXuvO7LtGYy83+/O8W5V62iO+2jCtTt2bKRACakIxtSnlEGo9Ipz1kvMXh+TMcbm4wnQZQ0tgPl1GD0Sv6R1OmpzFZisRCb1o6+tqEnDM8BETR8OJcgLdM5Ir0qWQ2lX7Q9Of5Gc1so0LtFoZquWHPC8D8WQWFxThp/fTnfSIy10G8c1K8nr1dLhqVgWwyooAKqkSkulI9qGaHlg2fROUSQvDo+oDNZoPdZsJ22+M0nRbfWW+NGNniTASmmC8qoFvAVhkbIgwHBovD4XCLvu9B3iF2WidyPJ7ghLHddDgej3j57CN89P538OTJE2zuJbCPgCNseFzcS3us27Pth8nOn1kOt5gPzsAVAIynG6TjETyO4LBBIgefVYON9wc86ntsn7yN7XaHTgTp5hrsdCMtcUXo5s2WyFywK7dwYR7LvQIA07mbpLb7hTle+9nPzzukYSGBMB5PGI4nzfRL0xzcDiyyvXgx6KgyJFw3PQAyyxCU18pt+WKrG13koRUgVMZV/2MPiDjLiC0sb64eTIKg30TsdjvsdjuEEDAMo218KnugMThhBnnNJlsYsMLSrIPn56ddr72qju6SgMCIwYGcGh3inAJREmRkZfwm00wbJ+Q81RXT91sNPfARfTG+YMktvsxD2H2JZeUCQSIcC1wEHFlhc9HPVU0sQCUfvCVDOW+K6mSip8U1l1VjypI5JtbPkxOQc5Boxo2tb460Rh8FU6KvjDuZ23FeiUX0npOp2LPpdmXMYQcKdnVNWqigV8HR5VGA+RpMtUcLlNYxRu112nVWAf5c2mr9fvlZ1/QL3znfH85+f9Xef4kRW7+/9v604O9V1y2G9RrElX3lrvt81fFGAKvTzcsZCDRZecDMrFx8GDLmSc79wtoQ540iIrXe4Pq99rjYeUh3DoRLLr35c0s2pv29lNVoO7D8Y8c2wcSEQA8Yj9eQYY/Dy2cY90fINNasvZQzZLQMKgsibf3nLbOTc9aCpn1v5UN0cUgpgVyAt3oazjlQqc+HEnjo5k1NLHuqea4y2evvi7Zs2sDcjsXVVwIu2zNF5pgDfe18spQ2XysErzfPu472nDWw4txqm+nmNWtqLWMTiiVZ6qEWoVhfmKvdBg8ePKhZUYAyhrkEM+dC5Ym5UBmlELFm6GkdwRhUxsBbnEVJ+jidTui6DjFO2O/3GIZBXYsOuL2+xkcfPMWn3n0X9xlw3Uat6dcAq/a9duFJdfNt3b9WekX02bW/Mob9DfI0QVKCEw8M6vZKpxNcTni0uwe6IsTYI5JDPpzATnXQUkqm9H6qhXkX98mNNcrNuPsEwKqdD2cLdpjnXpom5GlCHkekaUJKo7rNV5Vs1diYYwapvTaUBWVhUFiOWTAj5QznaBF7lIngawF5V10WJaFCKL1eJAAAIABJREFUr2EuKesHJoZjZyjTDDYfEDc9NrstYudxHGa9pAwt2FwIFLFNvjavzanCZEWZWap2116uuZc3e8kKphw5C1vQ58p9DyKNm5q6HjmNdW6NYwLzHiklbGJnbaxZfeRjdf0VgWmYgHQWhnQCyYD3aqSU9S2JZigyAO8DyJvq/tbWNm1dnZMyA50CrNT1WWIIBeRmSZLgLDO8AUCl/0nEAuU1uSjVdaTMby0arWyVxlwpu0ZgzhoO0LT3nWMX50bR+vc1W7VkdS7HWb1qfbh83vn17gI5l/bViyTEhWO9/r/u3NftCS0Tt27n112/HG8EsDrc3gA474DS6SU+Z+3yYZ5deu1naeVWmhvSwJssQUx7znqxbQ+6IBC6PvcyILsM8NrrXAJWWXPadbFLCcPpgOl0Ap9OGA9HSJ5AolXviRwCCyYiOK8ZgpkzcuYF4Jjbbq4WXzImmBNSHrUeo9fNXcs7uCYNe17cRS49ky649TlWwGrBOFWw1H6+lHKYJ0HbpGt135ZlKpbXWpNIWaXlse77NSCrm8fq/AXwbcC0Iy2/oZ+3dqhUs6u1ve7fu8KQ5nEboweSYJrUCtbsSrt/bu7H0reLtEHXRfTRw3srG+IIKWmMTwwqaHk4HGobnIYD9jfXONzeIvYbKzLskPJxMQ7XbbReSEqbzODRvp88QNr+k+n3EFmW0zCCjdkRNyENBOSE02mAjAn9xiFGdVPllDFOU43ZExHEvkdOQ2UFi6hjXaSb8UG87FemyxanADXD5dI6kJNUN2LKWjNzmiZNFklLVe2WGViwPU3Gr1BReTHWt2GwBGjiFFXGY60dBug8B5SFZgN1k7mOyZileT5oFhqIwM4hRo2jLKr65+uVMslaKLgZ9/b32vpvj7pJN39D76r+By71BHUMBx9A5OEtDolTRr7KyFPClAaTXkj41kcvjS1M5ubW2ocdeQzQWotBNDYxwiE4XaucZV+SAJ3XjN1xHJUlhWUZOgKFBPJOk1TWgrQm9swWRN7yPzo2DRjlZPpbAokOXub9pwVVkCWD1K4jlQXked0s6yu3rsCylzDVgb/uF/2dmu9aegmW550Hr6/79RLAKO9fkjF4FXi5C1gtvhNL1uhV12/XJ2nWpLvAYHsfl95bz42SMbn+/tcdbwSwwuEpAMx+/OatEuBHpCmnQLuglo3tXODrUrZEHUgrob1yEM3Q6dLAcPzqBl2j3Lr5NhvCeoFa/1yAHxnhQAhE8JLhxgHudItpuAVNLzGOBzAE48QmGhmAkcBboO89+HhElozeqG7OMzsRCeicZdeAMI4TkAN20aksg8CspAxhwvbBBrEPYCcq3EoBA3sQ9XDJw5PdO6kIoG42DDhWIEtqPTObaQxgJKW6Ce1kAAgBSJrk7RsRPyKCuLFOPlf63/6febLJ7qs0BsGrivdC16ywbaaizKLif97BOw8W0rIx1dXRVFgnAkhlCibTHsoZ1bolRDjWcho8jfAZ2BAAlxG3AenxFa7iPF4fX93HzeEIzhk5jxg5WN02B0oWJA+Gx4R7V1v0G4/dboO+77HZbPDoyVt48Oht3O4/xMuXL3E83eBm2CP5DT56/gKP7z9Bl3eQRNi/P+LZw+fo+Aq7dzqwB7IVtUbTB2UszsVll4Bcx2ablQSIzIkPJBnZJCM0+DvXTS6DMLFgOA04DQdQAE75CPYZaWSELiKRCp+GbgMWwTQNEJTMH4/c3Md8v2XOzSMC1nflWC/48+K6jG0SEbA/oWQlp6RsIqWIIAHiIkgyTnyCiw4JE0L0mExZ/jQO2Gw2GI09nsztnkQ1m6L34CnBeYL3EZInCPXIoiwuM0GsYoTOWwazgmtlM+bNuKhClOBmZsbEE1IW+M7heDrh+uYF/vCb7+G9D57h+nDCkHNtC/EqxMxJBXC7rgOnplBtUt2nYitoKZwMcaJK6UgIgXCY9nDUgaE6Z54InpWZESacOKN3ugYoRMnYRTU4YujBU8IwDJgmB3BssuA6nA4HTIOGKWAyzStxkBBBZMk03qtLbdDPhWPCkU4goOpzlfU4O6gLL2iFj1qy5iOuSuhCBBfIdAKBTIVJMq9FnsFIjirivNlsEF0H7zudu56AECtQ0gQUY7IImJiQM2FkQWatisCekJMgmZtU1xQVUvVgC9MglPCLCsIW8VoJzM6Aa6j7TnvMrmepfbomNcqcaTUZ13VDy/ntfKz/MJeTKueVtX/p4TER3cxISdB3ASWuFeX5SGPhYiwkwGwQaBKFMq1rAqb83T5vAUz1bxOOLetBq1dZJElAgPNYgdy7jzcCWLUTuRxt6rGUjqGV26YuoOe6VMYLXwQxc13BC1Zs+f4ziw7gV2hjrdOny2cVWLlFyvA6Q6/9nvbaFnVUAyfFmAHyQSljZwKhMteXc8GDgtVPdK4OqjIpylFKkxSrI5mCsw8RnoIN3gxmDbB3XuvLtferYngJyQuyOTwJpRhukVJQr6Gjxnqtz6kgq0gaUJNZyE37i/5y1l4lYNg1k6lacqVfIHAiGEsMTJOdqG1iQouuBILOlqiOwXMrL+N8crVFVMWsU4guhmxB/+KAzWaDJDOw2mw7DCljSAlEk9byKwWLoZldgG54V1dXePBwh23fQQjYbrd4/PARPv3pd7EfNogx4sOPJozjSfWPTif0/gCIh2OP4zjg5nDE42FClzXTCOLN7UhGNs5jt8YLSTMuzdXFcBD2FXrq+QIIavaVCIHYAdQBNEGEocmIpGA0B8AD0yQVdFPySKwuEM9B25E8HPxibszuZ1rEDtJqjSC/WuKafmsVx8sz1KuXUiwikACABORsvLFuwOQ2IBJ0vc6f588/wvXhOQ6HA2LskLKOq3EcZ5CWR2OeGF3UOMbT6YRx0vlXgvW1jZeMRs65jr1yTjqaYjkxkolTTqZ/5F3AcRhxfX3Ch89e4unTD3A8jSgac1SbpMw1/X7fbExlbEOWY76wtHM3UC18PfeQzj2BYNF1hYU1sc8Qgq6RIERvCQvmtuv7XsPCY65Zg0i6vEcK6EJEcF7V4pkgQUckiYnbsgabFXDBrK5CGNNK0GoJEMEwDLMIa1l3SYFYlmW9TOeU7ddKA52FVUT0MSJaaa7SjIWBLEadWDJTlozJ+pUZdb3hhvEv39cSiTpeG1Z2tZ+sAdKanWnZoPVraxfmmv1fz5P1dy7PPQ/JmD/b/j0DohLasAZICnL4okeprLfreVy+u1xzvd+Xf6VsUttm63ZpP/M6UAW8IcCqFYQrxxw8LDWZTQFv0wBnFnUrjOnQLhjLn7T4u6UR6/fLTKnOL5YfrbqsNOejLiIKWIzOhYMwNa/N16yp96t7BaBWoW2wxA4iWvqHQg92AT508KGDuBHMMOZHC7muY75q+Zrme9eBiCQOzjuL85hpWF9cbRAEFICbkZIuWIlRJ4Ujqe5D3eSMkTIARM09+bbvVpOiFZ4rlktpoLpglMK2RPC2CEgh7EVs0xclv0qsnpQA0DJZNR2cxGIxsqZPp1xi37R/kjBY2IQN81xU1/4tx44CNrFsseIG8NCi4tHPhkCMESEOakEFD2KG6lCKiq2Klsu5d+8KV1dbPHrwEF2nQd3b7Rb3rh7g3U+9i9O0hYbWJbx8+QxTGnE4HOAp4qq7B1DElBinYQLDw3Wqg9ZZaZsyVi7LGCwBCACwzCVtar+Z4UBOijYoENhieLQcjCAALiAnAcMjT4xpGhGjwMVO5S3ZmW3uQSY6i5W4LPnWQl5qoS3uvdGsWxtZ7SaypvczrurT6+Y1g+eUEigoOPGBMOURT58+xbefPsPXfu838fLFDYiUmSPnMFo5G0CFeYN3CMHhaqNtfzje4rDXMjgTz9bzbDDNwpztHAGA8aTXzqICphmzyCTEYZgShhE4nSbc7o9gBoJX7SvXbBLEUmManV8Cq9bQqe3qrGarqCEiskxbL5+ryW++qdnagIEkAHIH7yPCRhXIp2nC6aTJAUSE4COCCwghgH3SdQoEn9Q9qiuWh+88+qggh0TdisJa1ik6X8U7p5xqOZgSOzWxymowm0K8ud51ndFaj+QdQlAh5U0fa+LP5uFmrkgQigFQ1P81M22RdQdd3yZwBdJq5Oh6VYycysnMOKrZ2F/NnCyMvOa19hrt3G2BTXvuGlytQVn7cz2H7rqncwA0P5te+9y9qGXazrMCZ/CkLOAaPC0yKFeAs2Ww1vfZXuOu+3/V8UYAK8nNzTf3XB09DGMUbFA2YKb8XNef0xpOVH9vz2/R8qVBVs9ag60GZAm/ojPswwVsZW471bRoKgt3t+jpZHXhqAjXZYZkLegJihAfdIGAU+oaVJUd2slS3TeruI3WNQkUl6qrwZRs7FMpjkxk1LhkTFmsAPSA7FwFaaqYb8V5LbianFoazhiRUBmNWV1cM3py3ZxFxN4r1mY2Vkvqs6i00zwJHSvgA1T7i0lZI6FUA8OJCc7PtDczK7AiZTIdCJlTTSrwfQG+5xszX5iUAEols3kAsQINDZZ1C6ur7yO6oUNMGe5YJB+yjhEn6sQgYLft8eD+fex2G3O3Zq05FyM++9nPYuKH2FztEDuP994jfPjRBzidToi+R6Qt+g7GBBH67Q4PHr0FhmBD4U5wsRaxaBenzOHsPLbsuJpJCpWLIB/hhxFTGuBJ9dCm6QCBuvmub08IgXF1VWJclMkgp+VtQoygsNRIE15bx/PdLBmr8wD19aLc/l7e69u6lVXmwJ4TJVuIEfuAaRrw8ce3ePbiFl/7vW/go48+wpgTpjGDvILg8j0pJUSvbqMHD+8hOo/9fo/b29vZvUeNQGQTw6Lu5tWGAgV4KY8QQ8WF6cqJMbEgJYdpyphGSxYhnMUclvYBlnGmi40FAMw1Rl7VzllMsJQJoQTluzkeiaBrOlmEqgi0BJdA467EEnjEYkXhER0jkUNyGpbgGskVYgHY2CY/r+8qrKtxUS54eIoK1o0FixZblqeE0zggsRpJHoIJpYyafoeXhMiMTljrCwIQv4ELHl0XFExtOnRdp4zZ/b6CSjVSlb+fS3ppr7TJVCLqFk6FrbJ1TM7GczNuq8HOKLtjO5bbPlszMGtQtD6nBSCL77ywvt3F2qw/U4zSM5aqZLU2ALRll4SXwKoAcW4TVZrznXMmbp0X39cCqrI/tc8+x5ZdXv/KNVojp/3uVx1vBLDKK52nNpQp14eBFpzUv+pAm49VFkQLgmpWGZVT57PONpW7G6x1e8zXPh/A68EJikuGizC7qoq74UImDRObgqS6vRiKykkA3+/AAFJW1WOIAzxZIPs8WUpgOoAFG1GYMmYGMte6ZrOA3YK7N1eNWpPMSX3apqA9+nA2OdR6C7jabhrApUArep04HRNy2/WFMs+sGVJ1os91wmovGchDXk5otmB5BqnCMQk4CzJKyrWAinVNOllZCMRWUNkBkrS8BJAXFlwFU4DGaBiDkC0GQDCzGh4OmTwIomVqoItm8B6bfs5K3e12OI4TTikbCLDAaIEVbc3ILOi6iPv3rxBCwDSc4DBnt376nXfhN4xHbz3BbrfROJ/hiJcfv8AwjQh+gAtblThgQeiv8PjJp5AJCHxO4TupjdwO/uVrsioxIw7MKpIpSV3EqmEk8LHDyR3AQ0DvdWychhGOIrJMOJ0m+CDo+p0W9y4gnSLId/Cxn19zSyA4z9vL2X9rp/va0j6/jr4XaO6jXIoCk13REQQZWQQuBHjnIb7DaWBcHwY8vzngNEzYn07K6KYE7yxuSNS9dT8Dvtuii8BxYtyeprrQlw2hxhnNX16bnHRKIkYNbMjZg63QbC2VkgkMp/GCSYENicZT7Tbn0OqTbBjlPEcBjpIqiUPBE9v8cyLz+qb8t7pFSZACwzFbzBOBSTOeOWV4crWiQ/QdJAKBTpisJIv3VhKmACtqhFyNjB9zQh4FG69rrieCs7p+pdi5MspW009ULy7bXCYixBBR2DZx6r7b3dsBHgjB1rbYCCNXzcBs8X9LZqi4SIXLOmKiqrbO6t8EJV2cAmRzF1fXr0HVMi5oRS2v++0uY+kucNWucxf3sGZ8vIq1eRVD1t5bu9/Oe4dgznZdXpOZFcgzLyUn6nh0NeZ6DTbLnLp0rwUXrOd/u5e1yQV1jbxwvfZ4I4AV+R7AzFYVRRYAILJYFzKX1ILROu/c+cGXLoDFOU3JhLss1ksDk/0lO+/8O86BVX82KBfWt5z7yQFAwqjPUVgcTiAZQUgg5xC6HUAvLd5D5jpMTRp4ndxGg5fDOWelHtrYAXs+t/Q/I6WqKK1dYUJ5BqwGdmcUfwiagXR1tVWg5TxC9FWM1DmHe25mtsq9+7JgsGBaTeAMrgHSc3vPrpoxTRDWxVq1ebimTR9yusxWiLYBslqBJZuITbsqHo8Ly2gxHmwzuXSURd2WChBZ5pIXgLp63na7weY0oBs1E847h0SquO9mZ0AFqmB1Q8YYse16pEkXoreevIMHD+5hu+3ANOH2cKPAahjQ+cmySiccTyOyCOLmSovDpnrDy5+1t2E0w2pHNwDeWkEueyBPyKXIrGhsnfMM5yPIaUFxF9QdCBfgfIRKBXhkBtg0foQc4FXd37uoAePOAVZiRcrmXYHeHZo+a4OLysK5cl8snlsAKzvE5XGhzyJOLECcAQcMY0ISdTcnBjJ5TEKYMjBOAkZGShkhWNC3MJwHRoa6O30EQgfnO4B4sQkQGEJLi37BIhAhWaA7nGbZZWFI1tR8cg4eDieZZu0rKkkH87WKUVXG7SXXyGw4zsy0Q4nh1PIyClQ0XhJgkFBtuwyNTcsMZKesPSMji2b1sSOI8/AGaoohJpj1kryFGGgUH4HU5lTARDCDSiCcMVm/JwApjQsV9sRJRVrJEv+ywDcyECGournmPym9t9v15o4uoQ5kQsDKaoGsJiIYc1Z6rmKrVNYCtqQgVt6GSYwToyIAjxLTWGKtSsyXcxZ6IZrY87rNfQ0W2t9f1c8t09NmDF4yXNpz13vo8vx2X53XtUufW8zElrCwz69dk8xcl6H1c67Zq3W73NVel/BAmwRwqS3a440AVogaz9A2eRkyvnFDkV9tbO5SQ+nvfgGCVgNwBawuWWqXXhfnL3bOXaCsdqxfxqO0aPhVwGrKR8uKM5oqJwVVNIEIiNsdKESQCxo7FB08kRX9bQTcTMNlAaxEN52Fz5rs3sUUvk0/RZhxczhgmiZT+TaXQ1IwcDvoAplzxjQqeV5iuEqKdxccYowWA6EL2ONeaw92ndLqfVfK5ihgad2Ype1a14jUhVTBdx5Tra9F5CGkgC9lwfPjuGjnRX+LKPsk2UQZGcIJYEEfQ13kQwhw9rdOMgIM/kj9z8CBOGURReBMfZqclidpe7qPHjG4WZvKk5b9sDYkznAs6GJhr9R632632Gw2yNOEw/6kGlCbiHeCw+3hBk+ffge/+w9/G+M4Im9Z9XDShNNpwDRmiHgDfTaGYeV51saKoAKrJRCBuUfn9sxl4+QmBo1M4BAaz0JOlcLJqcBj3cSsMLU4qzNXvtowHKgvNrvdjsqBLOjtJvDeRjmEuG5UZ4cZbOUx50eWWgmgsDHzT4Ftc/BEyNA5URIgWLzFkWVksdiorJ/KWdPeFYQ5Y6AjQAkx9DU4vW6YzAg23sva1250QNH5I8TOgKAlokys4wfigGOG2JrX6gSS1dirzbHaPAALu2iaud2oPAVk5yrFmbKyUYlYQbu1JomAXAAXloqh92Nr0wjChiKInCqLk6vq6CGoKxWFaQJAnCDiLFtR5SkEWuOQKCjTbeOJUzZNKBu7qs4KH+Y1OQuDJgcW1fYLXVQZE3s250lZetF+FK+Z3g6w+FPVm9NSVMH6RItM142YPJiK0Ki5oZx6QYoXg+paQlrJjJqMxTI2V3veGdheD/HVXnRpHiyBMy3A1as+V8fRHXvo/Ll2kM2u7tmmKWyVjt+SPHHGcmEJ5Mr5gI5PWcWdtT8/CQht26q8dtfzX9qv2+ONAFZvf+F76u8FfVaE2bAnWAeh0XljFTFOahtS1g22WE1W1urdB9P5oK5fsW78BQBc1mNrj1d1eC+T7nyaFqjmDo0Aj3goggePn+DZsw+xGU9aZ858zUQRt9c36gZMmk1zCby1wevee3inQCHnjCkljNMAzjooT6eTgqDNBjGqJlM02YD7A1RrZsoYJi1PcTidcDyNePHyhS40zPBWzzAasHqw6XBvu8Nm26Pve2z7DrvdDps+4sG9HaKlAXsS09tSja6SIVWeC9BxMybGMCYchhH7wxGH44Db4wmH0xEvjqpDNI4jGCWjRwUHuxg1jRkACaMLDpteAWDfxEl47xF7BYEhqJp6u+ktJmbWmAqRBGFCFwKECNHcAOW4v93gdrPB7X6Pq76DS4KuF6Qxg3hC5zyCD9jtOmz7rsavbTY7jDnh5YtrfO3rv4ftoyt88Yufx7ufeYSr+zs8eHgPX//dr2H/8gAHYL/fo99o211f34J8VNdw9BU0VfZtnUxilrRrXhY6VShZikIzZQgmiJ1IrCVLtAbaBCJBlklFSyMBY0a/i3j48B5yzhj5BDkKYuzhQweWBKIOOU/AhQW8ACzIeiFu5qEZNettp87XSv40c5qAVvQWMocd6BNnxOCQJWG3iSq4mSeQWeCqdaXsTvQRjlRPzvtg8XM6/oSpCqB23QbFRVViSJ1b3rUqb8/3r2NymSpeQH+osYZOJRSy2HzJcCECec7EEpHKIqeUmmzruW2IlFViEcB5vUdH6LYb8JQwjgmSM4bMiEgQ8fCkCSYQQR4E0QeQN5FQcYBkOJCyfonR+Ql9LsHnCiI2mw5k7kIwVfZGclLDhqA6VBaDowYRkBAQndc4LFZpCO8cyAyXdiw5AJ4DKKs8hvPzZq/7kCB0ASIMsfaN0cPHAGfSDWx9p/Mz1AD4KWeT0SCUHJqULfYNJSaLarkbaeZicUEpCBM4HzG7yl4dRL02RC+xSeWc1oBdMzTtddprtcBrPaeWoG+WRliyRvPnmGc3bDveWpAnIo2W4jn4YVOobz/XJnuUey/7bfss3jJRizG4kGK4AFhfx1YBbwiwCtt79XfG3AkL0FOsSwNbAJTJwYourINtBVikWW7Pjdz556varDl3PaYvDvGKyOOldz/B1+nihbIBOBUDhNO4lX67w3a7RTodgTSBRJD/D/beLFa35DoP+1YNe//DGe65PbG7ObSoMSI1U7QkwpZsKTIsRLYSGIGQBDaSAEbykNcAeQ7il+TJQBDAQAAZSYwIiWEocmxYEqzBtChLskhxkElRtNhskt3s7tv3DP+0966qlYe1qnbtff5zLkkYyBXgurg45/zDHmrX8K1vrfWtGMDRTAbQhL3SVgevzydCOb8xsKp1tViusT45wWKxwHIhOkrOSUDoSTDigoDBEBm7wwHXmx12ux02m42WqjggDiISGaIEbkbPkjk1hAJ+pUYcYxi8xOdYoeTl+qt+4zFOAhA3TNcH7PsBu/0eu8Me20OHfddh3w3oug6HvsN+v0cfEoxxEqNkJF7DGwF8jTVYNi2ILEAGJ+vFhCWIkdF1A/o+aOr66LaoWS1LFoyIRAaJoop4inyCrwaLs4TGGTgrMRqOCQEicGhYMwmdQ+s9msZhuWphjUeMjL4f0A093nl8iZvrPa6vN1isG5yenuP555/HgwcPkLqAFB1CYsTQi1ZQ148Kn+Z25tBdy3WagCtxRyABTBJszzEgpYAYA5B/UkIKg+j/QF0gUZIRiCQrM7vAYowQ541BYgUofigZaMwQVgNjJqCAplQY17qslQCneIuxKvfI1SKe+RXdBFLlTmeunIyqe8YUgRTBkWRDTlH+Q7JynSU4gsT46VwmkrhBbwhOyBnJajOMLg5lM8+LsqnAjrB/lRWuV9T6tsThjEZSRIw5aF512/J/UwmVVpvHfaxH7svcT+Nn5TlYy7CWwQkYYkLPDLa5Np5k25F1skYkDTYnleWwQAwCygCAw4AmMyaAghvA2orJlIEABsOqaxKJkEISYeQYEWKP3lqNOdW1JSpD5UbWOYsfJ3W7smEwGZAhQPtOYrA5TxfM45tq0pRZjpWSxOYxGY3j1LI1GuKQEhBIPs8YmcMco5k3+iGzcZiO4Twun9TucvfVzzT/Pv/cMbD1pHPUbFf9fZmnEVNpFLr1+5z5ugsMjqxXsXgmoGvOdt3lwjvmOqyxRO3lycd6EvsFPCXASuIYdOJm6zADK2uKRZ0rNJCCLJ4FLhdlkiMDYNKdswcC3AGM5m36lelbhSq/fdJ4tGz8k5sT8nMEVuTlBORgfYv1eo3FaonDxiKmgBRjsYgBlGDzjMRrA3jSR0k2GqmJRwBSidlyzqNpGpycnGC1OlGmysM6LyxFGuDbBp4sjGvARGi6AbA3sK5B0y6Fjej2CP0Bw9ArPR+wPjnDopWYK2iQed9LNt6y7fU5J1hykGw/p3081fYBhCAqi1GMIrFg5JqaBcEnUVo2xsCHJO8ZB2MdGteicaJk7q3FsvU4WS6wWCxw4qZMQMK46B0OB6Skwbc0qCXrseAFnB8zD/NCYy2Bw8h8AoAzJK5A62CTzIVWC8eaKO4NQxK87r3HcrkEJ8K+32F/OGAYBux2O2y3O+wPvbj5jMg4XFxcYHt5g34fETS1O6p6uLCft7OHhAG6PRbz2Kk5IQEhGfAKWJIgU0bIrmeWuKJiiauramQaQxmrJUZQjy+Zn/nvzDApTKlYNQFJ+W9hCrNVz5WFP479evElEI0q79nlVGd6EAm7Uj8zIsagA49Y6kU2VlmPNAhbp+4jo1menFgLzjuYGEEpwqoAYeP8NGgdla4Qxr6/tTGkANLNF0SgRCLzEaPG5GisEHIModTsI8WhIvzJylJqH1d6dRKoj+KWBY99lyBxRtCEhJAYYQgjs6DhBMzSR5QIIUms1aiVZRBBCCysVeSA6JMWlRdwYyykTI+a3ax3owp9V4zUAAAgAElEQVRsmnEsiTBZ3FMKyjOiyWIMUs8TLEOItPZi1lwTvUGtfkgohdSzHqKMqSp7XMdQve1mtx0nlKxDJnGnBhawNbAYgbk/S9+m/ISlTwIPRVMLWl4M5fnfv1vVAKMGz3WGW81w1t8p93IP0J6Dn/G6brNNx0DcNEC9NuTH+Xf0+HMivQZj8qlb3znWF3OmbR4eMjc05v1w7P7n7akAVlKdXf4X29EoM0UA9DXKC5/JQEY/rbEsAIq/WtrdCJsnC+3oKrivw3L/ysJ8/2emr31dsO1WS7kGIkOTRAwkUdrA+AbL9UoE9IxBpKSLeY+UZAJl11cIAYbncWc6YFI1kHP2YRqpU2sl4LxZtKISzYRhiMiSDMMwANQhMMAwiETohoCb7R77faegLiL0Byn8DAI1Di5pILtrYDQYfhgGMBKGocOykexGqJimMZLVx4lQu36YWWJZYpQaYLqhy+YkbgITLRo/AhOxJAVUOddg0a4kJduJzlTjLdZti7b1aNGXPnBujGOJMeJ6K2ycKEYPCrIijAkwqYd1Bs6IZIW1BsYSQhpKJh4AOZ91aJyDAaExFsYZNEbcuEiMxjosF00BobvhgO12i/2+wxASdocem+0ewyBZSSIw5vDi88/h8ZtvI4UtYs8YQgLHATH0gkStRS6UrEXRFGBX7oB8obMhXBYbrX0GMBB1jhKVLEgGSRYrxHo3JOfI7B4PBO89wiCAqUhYSEqWLv4OY5kgmWPTRXs6ronG2e2sKd+7vaBmzbkkQcz6r8Qajnc76QACw5IDGQFZTBYODpYtGu9EIBKMwcm1J2V2xTVhsPQGbePQeoO2ETbbpDEOJISgwCAhxTRWNdCzE1FxTcauR6BU7U8SiA3VQSOShBAyEaBQsSN+spHkbCvg9jqRPzPpu6p+pzEGyY5hDTlhhDUrVvpdYstcSohsgZQkmw6aVZtEhDMkEex0yio59U7kPUJYUwE5nCTjEJRAhmDJAUSwySJmwexqoy/XbqEGfARpxyUkeCOUrDEQ1xtJTOA4Hm6zO6wlbwDBP7GsSVoDEEb070CIiSUWNQkrxpyQKnHKlBks1QUbAdD4HEKKMMbiCfv65LnV7ry7ANPXy4bNgcqx7x49Bo0GT56/8t3bn7+PIZuDrrsA4X1s3hxcZmmdDDRrti6f4xizdV97KoAVlCyXNA8oLcViOVWuqRGRjpYmoNRszlKafA6oUNjYbjFI9QC4m+abxx4cO8SxT9ydS/iEll2e4wWUDQfWYbUS15x1Bj0zYpLK8DFOiypLQKC9vWDO6qpZAwVVoWK+GtUWIQwhYAgS25CBUN/t8dbVYxz6IN4lMhgY6INsEFnoU1yBPRaNw2opKuFdpwKATri5CAYPAyIY2/0eAIOTbDxeMwhvdXsi0YMJAbvdHoduwGHoMUTZ8J21QGtw0lgQqYspAZENEgMJDkNSdwNbRGUJjXVomiWWxo0uvipGgJlB1qHve3h3wEHZI2YJTu1jQENyTqriBLNeT27eWbSNw6LxaLxFGiKsdQJSmcA2wntbag2mFLDZbHB5fYWuY0R2OPQdHj++wna7kyxBzR56+PAh1us1MAAIHVIMCP2Abr8FB8kszUBqDL0XgGEYmoE1bWXqsOjNZJd7ZrSIDTjJGKEk41XiRSSQGF7GkoHVzF0FKTRgtzuAYGE8QGiQggqtMsFgKo5ZLwvMdTyUzPd6M7mr1XEWo2jwfG2o0tAzAx0jWi9uIkceIZJkV4aI1KtbPkZYZgFtGjtAmonnAFAcgDCAB2FiQj8u7iI5klXDubBGZRMpFrqqsSRouS9GykkVJEA+Fn4n94PqLFWZqd/YZjQNph77SGQoyBogCfCLLKHZOshkbgSGMRFkrBiD1kqCiRY2ltrRCZEYjhxMEgPLmMwsSiYeR4nFzc/XwEkyRLn/scabANFqTKhnRBg6vT+1WQ0BZAFr5Hll9o2UNUo0rscRrBIAskFHPZ+IuarQaEwILPlSSQ2HBBKGHdNC7tlAOTpmc+mdlIrvcUyiuX+TzwDiLoX2+jN3ud7m42De5q65uSuOCjitryG796fB7E86//z687i8RZbMGLP6GHOWqs76rudDrq05//6T2lMBrKIGDRIndQFCfka1UsuCoj8KLVhRSJlUTXOdjahfrAAWp7spp3uinu61Emo669aHvzlolYMzc1KgTO1xs1utVgKsrAVS1PiWeEu13OK2Xzgf7zhVi/Kac5KpB0h8UQgBfd/jcBDWZLfb4Y3HbwHGgowDW4vIFkNMGELAen2CRdtgiD12uw7dcEDgiPViia2pM+4U+MUATsK0eSsMh7UWydcFUqHkvmbKxagusQMOw4CuD8KONB7GOngAfRwQQsTQBwwhISTCEBh92AOsrJyz8GSxV2XzYYgINkg2Y3aB5oB/EhbNe9mUiSysHwqQNcZIrAZZ1DEZZiYZ4r3HommxWizQNA1iJxmfCQQ2Bo1zWC3bAioPhwMuLy9xc3ODRA2ss+jCgJubLS6vN9jv97BegPViscDpyQoeFhw36A5bHPZbbK5vEPoOvmkqUKIbTbodY0XH/ogqelqJ30oBH2EzKWUBVYCjgKoYGeyogCUBYZABnkhZK8AjIjotNxQYKSRYPxpN4yJ8ZEJS1D7XxXUWGIt6zOtts6AWjC4FgKt5VoOqkq0owk3gPgJRXnfkYInRWM1uMwbGWuT9LC/WjRcts8ZKvBWIwN5WzJGA78xahJJ5Wa6oXFviqABWGQHWbDu9g+zWtASpkUfj94+5Po5Z58d+H3tj3ChlHguIRlaQR2ZBCcwRQ4owUdebJAWiE7MCMYlBSgFgE5Ei0BT9MpGVkJgrknVmCCjA3gj44qTeizSIoDKzuj9NYZ5YA50BjKW/SOJJjbUi62Al6zDHVI3sDEoGgbhDZZxm8CbMnJQV6kOQMZwYkRmJjWaK3hXbNn0t1y0cwd1oLMxZm2PPac4oHXPXzQFRfYxjr989FjC5vsn5zZTxHb8/O0Zm7qrSNTXgI9y+t/vH5/j6fP+rwdtcbb6+/ruA3JPaUwGsOAVZBqwRareAppH+1pUSBUAxV68Duhsp5chj+gyAajkc2bBy8lkn0d0WbgmMPdaxBVjptfAICL9O1vZWSxhvOeVxmJIAUOYiU5A3XY4JSYHGRHepojifdEYiLoyHAAcBFXlQCTO0w83NFo8fP8b19TV4KZu4b9dIxqDrE/rdAUNKeOb553B2dortzRWAhMN+q+n36qqMAUu0MNbDkOZccVXqobLo6sVl7sbI7FihuzEuWAkG+80Wu67Dbt8Jm2U8YiIc+oDdthvFBznBk8GybbBetnh27bBarXB2dobT01NxvXo3Mgs68a13cLpQ9H0vfxurlvY4UW8BKyOgznuP1nmERsbOkCQbcrlcYr1ewjmHGAfs93tst1vJ0mwdLGQhCCmh6zr0fUBKtlhbq9UKnhrstwHADfpeSt2EEOC1dwQ46JyqqXm1yI+NGoK4MubvEiwcJUR13RIlBM4Ac0qvZ2VmoxpM4mq1cLapGEJlKRQACp46HgCbO9aYahM6EkNyzIqdxGuQMB7STOXuVJkSL8kIw9AVI2bRLLFenuCV974P6+UKxlkt9eRKjGMW6zUGWC+WWJ8s4bWW4c31HsMwYLvdIgtX5vG/0GsbK06Mfe4XIjwaU045lwyvIUXs9t1kg5RsNy5yKXe1OmB37p45tobkc2QjSQBCkjg4uv05TtlVmNckU1xorEFQNo1rVl7L5BhVBpsmQUD1tGRuCZCZSLWYUcwz611xSsXgzGPNcBQQ5qwEtes+QVyvO7fvPaVClCLlWEZVVJfyWCzhGRVwSjxfx6Z/R063+rowmpzjGr+xVgOlY4b0N3KcJ7GbQJ3xXieW1WzU9Lrqn3cBu2N9Mn/9mMFQv37X54HRXVrHOx7bd57UngpghaiTMAo1LAHrqbjC6qDx6UJ6HAQRgGImApjSj8CUQZp21DwLYPItl1PTq29PAJ8eTy3g/BKbu495X7Pcg7kBwwKk3JuxABwMGqzPH2C5OlG2xQHOAgOw64Q12e06IBCsXSBFqB6MtJAk9gk21wwLCM6gH6Qgi3Me3jZwJPXrhm6DyAlXl9d45/ENNrseQ2C49gTvef978ODZZ2Abj83+gLevHoOuN3B9h6+8/VW8/jbDgbBeL/Dw4hyrdoHzs1Os0oCbmxu8df0IJ6s1zs9PsVitYRgIuy2GPmHdOCxsi9a1WFqP5bIV3RnDGAZVPiYLsAMio2EH36ggKyyGTlyE15c3GGIAkYVvPJIxiBHougEHH3Fyssbp+Tk21zf42ptvobs6wJLBu1aLwkB577FeLnB6eoqL8zM8/9wzktFnhJXykOyl5XqJlbFj2rZxIkFgCNZbDFXR8eXCISZCWFm8fNHi4Bt14fYgatAuPB48OMHp6RJMwBAZITG6GDB0G7ilx6Z/E2+96fDwocd++zze8+73w9gFLHk8//y7Sjr84+0NNvsej3ZvgdcALyKMX+kgzQtQOuINN7OfAMgWGyIPe48IL0nlQFTXDjFSGEoSBeJO4txixDBErHvG5maHB2SxOj1B44WdS2Asl2uQz2KLo+J6MVygi/I8S6eeoPEeQ+meRTIn1ABQQeEk61TokUKQ//sd+jCAPOG5l9f4K3/tx/GX+g/rYj663lISU6JIJSAV2YzsUr+63mC73eK1117Dzc0NttstulltwL4LE6DBzEhREleG2AvzZUhESROw7w7Y7Pb4+Cf+CIfdHhgA47wo2jurulrzNHia2J2GRnFGTtlFLEu0MwxOESlKoLixHs1qKUWlEyEiqHFh4XsZMyFFxCHBsUOAhSNC2zgJFrcOKQgIlczhBO8beBhYCKNticSVyMDJ2XJ0q3OcbKIh8qgvJjcpoM8QWAKd9P7G+3WYipPWGyqTuB6zevugy3sEY0eSNERRAWMSJjdExhCAxAZDShKGQIzkNJRChVJFcJxh8j7FIt9hiFSo1MA6iUdla2DSXs4RAUsSqpGqvVBsegIwuuDq+KEaaNThFbWLLL+f1766T+rPT6fTbaM3r8Ng0nq5DkTjMW+zaZKEBgZSvC2vkKtNZACWVNfPEElNUWB2jzLjJLmmXKnGC0+vv/47A6o5KJtUQ7inPRXAKqg7gayRjbykyGpgYAYqmKjLwNJxF9uTUGWaSzFU7e5kc0g1djqOdsnc/t54Gd+EeQFISZM83YrRTDDwMGZAu1jj9MEFTs8usLu+Qn/oYJzUrcpK6cY7OOOKi+r2NVLpa44JrJXjLQlgaKyDBSH2wi7lQL9l22K1kuDvhxcPcH56BjgLZsJ+v8fQ9rAgvHl1iaHrcbJcwS2XWDYtHpyf4YVnn0Mz7JDCgOvra3TdHn3XYOkbNI0HrLA9tZRBZnZIY6rmE90YA1YXGhEhhlTclnHoYJ1F0zZYnJ2hWa1xsz9gSBHbrhdWomwcUl+saRqcn58Xlu768SWuHiecrlc47B7CmySZg6slWi+Bs8RJk3jELWCMZmGZHB/CCBh1zbJAatu2WCwWcCC1eFsYZaxOT0/RNI0oy/NtTRZRig8SX5cGBcwWi0WL1WoBbzzefusRvDVwRjdGAsh5oBlL05Bm1IHSBLxIy3NNzxlq60LHVU7pZwBO861YgoAbI1Y7QgtqWzgmuBbw/SAZXtbj7OwByHthpGIEGl/sHiostv5Uhk2G7nx+VX+3d0ud3Gf2G6TR5oqZ6dZbTAxjREF9e7NVFxJjfbLACdcL9hgsLHFNcoAQerknIsQ4IFiD5XKJvj9H4y3euXyMq8sb7Pf7kiiRSOb0xJoWeTjZpGNfSrAIwLLou4D1bo/z01ex2ewwDCJ9UOQp7rp3M2UE72IN6nijIuSKvPkNSDEiMGPhlculsT+GNICC/O6deip0D0AMiMwVG1tlsCkYMBhdeAIG7cTb4GLF+hgCzMhqxZhK/VVgfKbWTDWaCnsCiWFjZRKLUrqCrJTlQnLMqib/BA1CLxnMSfKPGAZsJKgjJ2uQ9nVdK5VIqo2QMSrLYcSgyUXHZy7FeZN7uM303weOjh3j2FiomZ36c3O2qP5efaz52j2eA0c8hOM95gSi8b3q2mZembmb89j57mPf7np97iI81p4KYGX8QiapMWBrZdBl6rf6XJ64I106RZPloeJ4J+Z2H+yy9h7Qle5+QMcOyve9+XU1EnVmxsR9RBDA5RcrPPf8i9i891sQDnt0+x7bXQ9rTaHDvfdlIh7V32AD0WuxYpECIJbSKq3z8NbBWQuCCHwuvQetDRgOTbtC0yywdI3mKgKrxuN0tUQKEY72SOcXiKHHwnosnMPSOTxzei7AKu61dl6Lfn+QuJwQYdW9aQ2B3KgPZZsWvm2AYZi5B2TyOOeg9WAhC18SaYcUYQ1htVxifXaGh889j9WDC7xzfY0hBjy+vsHN1WPsN9tSMPfs7AwL3+DFF19ESgk3Nzd4ZN/EzY24026uL3G9XiCuezgkmEWrCz3D2UbYV2Mku4jF4hd9m+OBkJYkO87X6d8AmsahbT2sI1BRchZ3krEC1Kz+7LoDrq8vcbO5xikt4bw8w0XTwlkBOgQGxYA09JBCi/3UjQ2IKVwDK5JSHZMPTTztuhrmn8UlDzWfjcTTpIS+77C02TXoqphAPYeFACtDAIL8zjw9H6uLKV+fSkfI5dGo/QYAsbs95r+exhlMJTk+RyBGcOgR+gM4JoRhh/3+Sp5VzJbsDLRQXewVAFLFHKfixvbeI8WIpnE4Xa9ADDTeYohVOSnCJHsvpaTdbDEkGuvPGQLIyLhRd/DCNziYDkWeoLjKphvhsfidSbfQkT+MBbFISmTXaJ1dJawiI2aZAQi70wMwHOCDlMT57//P//dnv++Vlz//sx/67s8mZnDOTo5WSvKQSpYkIx7ayCCTJiwbmdHt5MgWwFfclMbAG513FbBiBXL5nkeAEMrnimCngsBEwvwnZJwvbsjESZNss9CnsG+B1X1JSYrZYzy/0RJArFUyECXhKLMxouzuAGM061uzDnWa1TbzMRda/Syn93cckB37fP1cc6vHyxxkzcdSfX3Hzp2BII6cvwZQ+bs1AK2fZ32e+hz3/T5fk48BxfrvJ7WnAli5xXL8IwMbolJKAlDCRv/I2ep1OFS9rj6p3UfkpTvci8DIStXnGB/49LP1M7bfHGF1h7J8Pj6DfIuLZ55D/+73Yn99jUdvvYND/wiWHIqauhULJxkDa493Tsl2ZIllIQDeWrRNg9VCgrZTCmisQ+sXWMUEJo/Gr+DbFsQJfDiAmxYLY/FguQZChOWE9vxcg0AZjgwuTk7w8OwUp00Dzwz3zDNorcXjx48xDAOcUYDkXPndOAurtfIk1ihOrErpf5Lgb7WCIwjRymLsrcPFyQnWpydYn5/jmYsHWJ+fI8aIk3aJh+cP8Nbbb2Nzc4UUIk5Pz3G6WqNtGpyenoKI0HoHjgFIEWHoEPsBh8MO3gKdMzAc0KiivHEGTB7MEZYJghYyCJjS7WHoEAdhE721CCEpPT9VxCaStOAhdLc2L2OBYehxefUOvvKV13Dx8ATgZ+AMofEWSAEcRMCSOCEOPfr9DsuhB5pmBFIFWA2iIpnnAg8oyCazxEnqo8luD5mcNUBjlu8LVYFh6HFzcwOEDs54NI0BGovD4YDdZgPjBECuHAGNHiMMI1sd7gFIuT/zJKwNiG9y7iEn0iTW62Bg6BFCh912gzB06PcH7A+bAqpiHOCMvbWgj3F/8txy9mh2tcQoYyqlBIQBjTM4XbewVlgqpxlhxht9VOPGle+9gVVhTC0vxQzrPSgRTlZL+MbCkSQLGK6zITG5llvdoO9db3fferPd/VBKfPLlf/LR3c/9+Id/40c/8P43fvljn/quj336T77/0A+r5y/O3vhP/v2/8BvPX5zvjDH4zKtffem3P/OFH7zc7p5tnOv/u//4Z/4+KwCTWKqAlAh9GrSMkzx3JuB3/+RLL/2j3/+jH9sd+hMi4nc/PH/9v/qpH/3oK88/u/OspXogwU1KBI6up4p1AqaEpoWAspolIoYqo3fKKqKKhyIBRjGXZuISbJ8PWyopEEmMF0umclLhryyjkJJGyRlClvoAI6svAkmTR5LqjJHUF83xWNZ4GO/QhQ4ZeEpiQppkxI3B19qh1XMEpq7fOag4Br7mLF7davZ8zmDdB0KOMVryXTGS5t994rEAzVKegq4axB0zaOfxXfM+mH/+zxSwMk3l0tPxcSeowvg6VYbpv632jTJdd368Zpi+2cUdCUZ1nFK1ZwGSlow4KIASlxzIIkQGh9FlJ2NNNJ5uTaAkWTZ50ySNkrck1eXXiyXWS9F4iqmT0i3GIUUSWQISbSfmQVS2ewKcgWdg5TxosQC3rdD2nNAYi4fnZ1gYg83VJZokm6WFKJ+LmrVeg6UiESHlbGxRop4P+GwRt75BsBGcxvT5sFDX5Uq0uNbrFRbOwaSI1hqs2ganywW61RqeDEJIWDUebeNEJLTxuviucHF+BkoRh8MOBkmEIhVoBSOWtfEWaD2Mc7BGrtdZI5YmWPaDoQJWWZKCBVAFDiBkNo6kcLUW8N1uxT0ksWLCUqWUY1IOuLp6hK+9ucSzb5xj0UreZOssrq+uELoDiBM8ARQD9jfXOD9/ACwgbjdAytsAAqwoFXebNDO+ByDFXl+uFqH6d5aFLrtF+8MOh80ViBkLvwA1LWAs9tsdri8fwzUep+ulxqwBSEmArIpxJo1LuyvotG71Z3INwmPtvlgJS4BW2QY0SD0MPUI/YOi36PZ77DZbHLY3AI/FzPfx9nVOGSuoDty4CaSUsGjHeKt8fm8JyRK4zRmxsrFPGIGYdZgIIRlRXI9BZMq8hzMOZ6enWLYLXNMNeg6I8TYTUW8w83652e5evtns/tz5yerXHnp+8we+94OrF559gN/77L958bc+8bkP/63/4Md/+eXnLq7+3q987Mf+t3/6Wz/53/6nP/fLYoz44QPve/FzMaUv/MGfvPYD4gocWats0oUYxzg5AtgavPKuZx//13/lI//4Wx9c7Pohml/457//w//Lr37sz//tn/+ZfyrZqKmUt5L5eYcrDEqsaSA954D0/CEWWJNFOBnTdZ71f4Jm88FIkXe9j8QZJAlKksB8AbeiXyXuPinuVGefiSiyzS5nzmuZuGtzcXpDVkGTgbUeTbtA6PdICSVAniJAlRF+jBGqQecx0HMXqJh//hhgOdbvcw/JlMW9zSbdB+7KsWaM6uSajpznFtt6hNG6q9Xnzv/vvJ8j7akAVtM20qOl6cAjokLXZkP2zqPcc99EdweT36dVlQ9J1WcKnTt77d8G3qMUZMKwlF1gBogHcd8gYNjc4O0338AbX/4yHj16hK6TRXkICTEyrB3VyGMcKrVj6d80o085imuBDESUsl3gZLVG6z1iFGVoWIOYDLp+KJkuC+/BBPSJ0fdSLmVlLZYnUqrIguAswZLByXIBkyJ2mxsc4l4zwgjrRYtGAzXBUerJKeNmrQVZN3H9ZbdsuR9lrEyKyNmbxhhwiPDGom1FrJBTQDjspa4XJ5yvV3jzbcL5eoUHJ2ukJN9bLRZYLls4rVi/aDzsgzMsnMWh24E4YekgdQWbBq1qTTXeYtlYCTbVa5fNPSGwBHKnOCYRSN9YOGvhrUOyPZyl4r5YLCTzc7/f4/r6Gtv9DiklOG+LxkqMAeQZQ+hxc/MYjy8f4fx8CTvsEQ4HbG826A87EBiNM0ixx+bqMfqHF6A2lISNXPtxGLox07QsoFR+SlzM2Pes/Z8fiUWlh8MSt8bdHjz06A4DWusF9IWIzeUlDpsNVidrWGYgBPB+D1FklwSWGCNcFa+Ur+suur7+vb9nft2XqOLyPXHA0Em1gH44IHQ9wiClkfabGxx2ewEjUYAVV5sGYQwWHrOLrIrJ5g1C69z1OxhjMGixZAYJK4gEC3HvWaeFsosrUJIlMrPi9dyDljAy1gONw4PTU6yXC1FH1+DwY5pGd7EMV5vth05Wy3/VNv5NwoCL0/XuhYfn+I3f//T3ftu7X/jCt73nhccpMf6jH//wH/wPf+8f/mevv3NzdrHy19/57pfe+vdeeuGtP/ziay8DYy3KnN348c+/9vKv/+Eff+TQD6tvf/cLn88AJpHBcxene2YGBwmHIAI/3u3Oo3p9LSckp2VvANGpmjFWeb2QWKsRSBuVeCAFN7kkUNDahVz6QAKeEwiDBsJnxirHWjGLizN/JXFCZFFeT0lAYx2OCEMSnK0sflbW5yhFulMQo7mxws6TkSQDglVgtUS/XyBFQkqd3n3Oeh+fZd1ql1nNPtWAYf7s57/PWaA8v+rvHjtuff76XNkVPQdY+fO3r2XKsI3AR12TM1dhWX++zjY/3zHj/Rs53tMBrNK40Qh6mL49BVnacdXv5XuT79yDRr+5q0TRIyrpPTyeZwJaqnPz3Ab6BhoH/a4VYMksfcU9wB267Q0evf46vvLqF/H2G69jv92AoJYMcykMGqO6Hu6IseKcPJCSboQSuN76FstWAE8OvoYh9AFAYvSDZICtlmtYa3HoBlzvpRK9b1usViv0fS8uxIUHR1E3NkQIhsBR6rnn2oOBJXMxhIA0jAGrWdwvb1rSrZWPXek8WxdD1rgy7wUQxm4ni6O6Xsg3aNoVTpcLrLyXeoiLBXJAqNOYDE6yNVtj0CxbeEpoLUCIeHC6hDMGjTNovJXgcOewXrYIUbJ1jDw6cc+o3lY9QZ26/aKXeDZq/Mj8WIfWN/De4uryGpv9rjAazjlY52RxjwnGMpjFVbjdXuPqnUegfo/UD+j2O4Shg9G0DYoB3X6Lfr8D266wm7GR5aDvD8pE1lZpzkKT1w4ksWi6vMrNmJFJcUaCxjkmGAZ2ux0Omw0oGvR+D5MYw+6Aw/U1EAYsjEHc77ELA6Ap69YbsMYkNaZKVZ8xQHOQVS+M4XplxXgAACAASURBVJ65dx+wytpFnBK6bq+ZlT2G/oBut8cQesQhIA79GGA+yyTSTqk2ENmIsrtaNhlZQ3a7nRgGxhRWyliCZ9n8mUThHUCRDUgpwRZpEtbSUISGCUNMiMnA2BbL5VLkULxH3w9g0ORa5y6fujEzhRCfiz69+uY7Vz//Jtj2v/vJL/7N5579Hb0nShoLajRj68tvPbp4+N6XrrObUu1iZW2kb97Z7Bb/5Pc+89M/8f3f8Rt/7ru+5dV/9onPfeCzr77+3cz8+aRr5lceXZ78nX/46399iLEhovTXfuiDvwU9VnavaQiqPGUzynNMxDOjGLsTfSWeJiIljYEyEJ0saRqUzqyxVJLeETQwPepzTTBl7McEFSAGUmIRB4W4B1kz3opYKYv2m9GamZFHHTlnLbxxiAQBgMYCxsH6BaxfwkTSpBWtZnELEI/7DuG4K+uuOTOdB8cBRj5eDkKfuxdrBjS/dh94qc8xISlm43N+H+UYRxil+vjzeK/59dXXVZ+jBn/HDLe72lMBrMKj1yZ/S03AqRV6lOLjI0DhnlYmEd1aPO787OQ1dBMUnq+lpuZrRF2u/cix5/d17LWGWLJdsnZLSuA0gLhD323wzpuv4mtf/BM8+uqXcPP4MQ43l+hvbtANLbxv4b2wPH1/QN/3oLZWWxbrOdfkSinBwKK1Fst2jZPFEq11kr0FQtLaY0QOK0doTxYIg2Ts2Djoxk04Xy5grYP14r5jv5SUZhJNH6sb1uL8FIv2XINKHWAk9mSzA5gjLDycN5pubBW4yqYUwzips5vQwsI3jU5y2YCWiwZnp6eS1Xf9jtDnnJCCANYhbEBk8B3veVlkPgCEkJT9Uq2qw67EOSFFrGwLc7rEsvW4OF1r2rkU1SWSTB9rLboDwBoEGMGgoFlCQw9TRQC3zsN7wFuHbtGhi524dtsG7WKF1ckZmkWLT3/u83j77Xew23fwbYMwJDACnHPohwP6QTR9rq4ivvRqxPb6bZy1DVwCDjdbbLcbhL4D2QaLxmFzc4lHb38V5goF7HkvYyHEvrBhgC7s1bhhZoBGpXAU4FsV9c4V7WGRhoD9fo/ucIB3S/Bhj7Rcgsigv77E+ckJLtoGZ63H9fU1NpsbOZcZ5QX60N9pOd63YMdiAx3/3l00f3KmBCuHrhdQHHoVOlWdojCCZJutcCMbQ2aRmJNkujGXovHGVQKTakg2TSMBzar2nbOhi0QAM6yrWXGAnEWKA5wz1doh2YKwhNY5wDg8/9xzeHB2poksJAzIbFOt+6NOwe+HYQnAHLr+/Rdn6/9nmfp0tdn95V/657/7gx94/3u/9A9+/Xd+6rNfeuOPXnnxXVf/6GMf/yEA2Oz2jkhLFR0k0B8s+m6kxs8n//T195yuFo9/6Dtf+VPjPf7yh7/nUx///Gvf24eAQwhwxuC5i7PN//Q3fu4XrnaH9lc/+dnveunhg8uOGTYlGI1raqyTQvEkrE1gUbp3suDAEIkUTf3c67T8KnC320vsplUAlvXhmBmDVhCIYDBJQemAiBADgoFIcbBIoUT9XilhAyiosmWuiKESZO6lAA4DUt+DU4JzpmKMCWQtXLNAuz6Fa1dYLAOMXcDYBiEOAA+oRYgnzxRTkHHf3Dn29zFZhBqkZKNsrlwOjIkMuY1xv+N4rdmuMkdn78n+NM7f2rDKxpHh22CrnvPz+z8WZ1YnhdT9UQfs1+Vv7mtPBbDabx7f+d5dFJxYk18/E1QfI002iuN+16PntP1R1Ds+/HQUGeeA/PtA1LGfyQCcbMmo4piQYgfigGHYYH9ziX63Qep7xGFAGiS2akgNFt5LaRTVdzlmjeaU5XJNSUp0NM7Du5yZZyDeuQRDkr1jrYPT77oIpNCDwBKoLaFB4KgqyxorZB2pRTkKOBoLOCfpxCXjJgV1dTk4N1qdubhygyn1nGUYmLkQ4vW9ysQzWC3WoqETo+z51gFkEcBYt5I8ETgh2ST1+5oGjIRDIGUvhBWyTYPWe6y0dp+B1mYDSnaaQdK04CwqGQBn4JIGt9fDVrO8rLVYNC24E6vfkUHrGxH4bBdF9T7GCBMZ1vCEKeEYYKwwLNvtDTwlrB6cIzGw3++lTh1pNqEBYhzQdR1MH7WGXQIPTt5LAamOZeN6M8hp5n019s24QUEZFVUjT0TAEKXMS4qgGIBAiIMwpZ4I3kkcGQ+DuEqDABlYAdlEBKcxTMcWy8kcnS2uaWb9HrOgiaSGY32MELMSugrPhggOwtiJkZOBkwaAw4Ag2Y1yDskGy3yNbBjHLXVmFpkJVj6HuLAQTCj1n2VjnqpaJxrjogwLMxMkjx/WNUhwOD09xerkBE3TiCtqFlo2t+5ncgsBAFaL9tPO2p0ng+98z0uf/OPX3vjBv/mzf+n3vvLWo3/193/lX/x0H2Lzkz/yoU9++vN/2j84Odkyi2RLMqZYliEkGJa6mZv9Yb1qm015psZgtWi2iTUGTTXgEhhn60X3Ex/49j/+H3/p1/76B9734v++9A0ziU6UzE1GJB6lF0jVOolGowia1RdHt7U+EvnbiHZaUmYqL2RMRrP8SOOlRMw0l6URrapQHTPXAwRikhqBsrZS5XqRrD4D9S7EAA4BBreBDJGFNRa+aeF8CxiPtlmXccYHKXjOs/FbP9v5s56TFHmNrdfNY3vVMWYzA5tvxOA5xjCPwOq4K27++20mDbc+M7/PY+ctpMIRb84xUFbv+fe1pwJYhd11+X3+cGr0OF8A7itufO/gqm57/hDuQvbyZn+0Q48xVvXxg719LfVDuqsNRODAQJI4k5GxGpDiAbHrkDSAvaR7K7I33sGQkc04Z61Ug8cYU+Y5K23NMcKbpmTfeWWzSC1na0mBkCw8RGLxJethkmQiii5LEiXlJNIDRgOQHUGD0DPNGiDSoWrt6Q5iDIqAYp22fcwnn4GVvKfMAbjUrssGUA0CimYOMTwMYq8gARGGJYA0DqJC77X4L4HgjIGzhNZb0d7hJGrxLG7afG0RgFPl8ahbroVkJy5bj0M/6lhlIO5I7gOLBfoqa6xxDr5p5B6ZijvCwujiKmNERCcbSWTTwtDZRRRUaFLivRyMdwAl9LGH5VrfTI2CY9kWFbgCgBjUGjUEaLYbm3GhosQILPeOlJA4gJAQUwcTgdDr3KYEYnGRbjbX6PY79H0PZq0bx6wJK8cp+Xy+uk3mH5nJ3/MxlBf1rI6eN7VYnYuLXpRi5ySCvbKpQ8YHAcym/C6vJ62eJWNIvjPq98i41s+a7ObM7n8ds9L1AraYkfXEsruENajXsARBG2Y4ZkRLyriMJZmK+rgb+2m+zM0NMGdtb4i2Enokc6bI3sDiZ37sBz/zH/7Fj3zm4sEzuDz057/yL373B9/3ruffAWSN8ZVeUYyxAJmTxWL3avfohMhq2ZeI3aFfS/6MgD9jCEHd14cUzGEIy8vdvvFnrrNMCASYZBCMkfgqiAZdBvmsQLWEMZCVoHmVHhmz+wxSCAWsRFbABlvAblAJhajOzMiMyAaRDYYUUNkgymxJgk9Qww5gGCKAxijevK6FEGB0vjtr4b08p0ia3Wk9bNNKwXrrAQ94NV5CCIhJ/k/H/3Ey4qjkzpHPAePeexfwOAaAasBy7Jj52o599i7QVI5d3cMIikZmbuLqxe09/BioAqZFx+/6zlE8cE97KoBVd9gfRaXAcav062n3AStg+t5955swXXdYBfVxjiHaeOQeCq1ZDab6e0SELgZw1i7SwEbiAEl/79EfOvSdbKKHg5QzGYKyJsYhcpxsJPW9OGMLGOEQy3+zMGh0I69TZyV+yMB4W4oEA0YXG48WGkMUsqChDP6maSD1vUTuwRgjKsskOkzeOzBZcAhw0cE1sWTxlO2yKmJc30vu61psjshOrNTs0jLMMFVR6qT50iElDP0BWchTNvIEMhbWGTgzphM7R3DOwhtWIVAGSMT7au+yQSrrGiWelKfw3qMb6qLBmlptCK3zoKYRYGIsvLHl3rxvYYwDc4d0hHEYDp2k08MiGEki6LoOiCJqaIyBdU7KdWhR3yEEhJA1kkg3eQFWc1qfUx6jcj05MzEr9tbac/maCriNUlRY1P5FgZZ1nPRxwO5wAF89BlmDvu8RQo9EgC1ux4S7xBCPAav6vQz66uuq/081nVBeG6Ip52YW1ij/N0bc89Y4gIcxgcUQBh5GK9xOtZwmGwcrIKIMxhkwCYkrdypQ5g4ggdF5VpQ+KPem5wTAjmATYegHJGZ416Btl7Deldisep2aG3lz9mq5aD+323cfbL17LTCnP3719e/5lne/+Gofgv3T198++77v/LbHb19vTv7O//EP/sL3f+e3f+rB6UkfDnsN8mYLnR19nyxT4tXSpg+88u4vfewzX/jI73/u1Ve+71vf++pv/uG//kDXDytofc3f/vTnX3n52YePv+2Fi6ur7Xbxf3304z/68GT19vl61ZU6f8jxS4yYwQtk6mW3apHmIQujGles458h7tlRm8qCWaQLsjEGEm2pEMd4Klk6FJQalTPJII0zq5sUkAHZYJHSOFA3r7CfQwxIeS1xthiU1lpNLpJ7cbaRUlrOgwzDMsN4Dxta2NAjpTFNQ55lPQek3VKT5zFmsf67Hl/HGKvpeW6DqDkIq/c20rX/GJMm18Flez4GZuaMXpF54NFIzdd1DCTVDNm81fc5/25eI46RJ8faUwGsUpgOimNA5xhQqmM/5m3+SCbHNHe75I4e61iH37HR5/dQXW9ImYm5Hds1L5hc32+MERxJeOXEkiXEEYSAxAF9GAqo2u47HHoJwLRuLOg6Tpo0CdatB0rSmBFmGpXAVaQzX5O87mAbkVgg60BaAqLTItqRhR0JaRTkixrzkIOBRdRS7rFpJSaKEyGyuATL93Sxyn1hciwYoWwOdZYPMNVUKRl5OgmXi4UWVh4QhqSuxQAahmIVWwDQWmOcBlBy8H7MTHTOFa2qHChvicrv41gxcGwVUEUQZAO1pAxOVWalgFdIQHoiFXU1cj7ZhAWgLpdL7A+9WrkRVJXNCSEghB7GNMXFcDgcisJ0BoZsDMhKgPQQOlAcYwZy0oUxmshQjdO80djiohEXT95QKEECaas5Uo7AWsNSU8sTMaL+g2FRDT+kkWlQqMI5kw66GSkbUIAMqcjikaoHchxhtacZu3l+oiTAMFGJ/SlzsNfvsYGAs3xH8nypYqqAaoOJuej7CJ6ohG9z6cux5E0eCJrhpPfJyCydxNhQEhYFbEbtFQDJiquqlAEhmSBEqntkDFoyaNtWguPJIfJh7L/C7I5Ac77+PvPg7A/efPR48fblzc8TEN/zrtMv/NWf+JGP9zHaX/zVj/7k//pLv3bWeD/88Pd89+f+6kd+5Pc5yXrwiS9++cVf/M3f+dl8rP/5H//mf/nwZPX63/ipH/3lk2V7+KkPfeBXP/rJP/7Ib37iX//Ee59/9vMPz07eAAsreLXZr3/rk7/9o90Qls6a4aWH51/9L376I7+SCKJwTgxHkrxhOIGSMFJE4hJtDRWDLIJLxmDSvpU1JIuqajA6WOIEi+s2l6dhjc8cgZwocZCyWgq2EiNyLIHtQxUXRLClJI6woFLbk2PIVouMH5OrNRggyPU45+EaD+cbZW8FfDrbwPsWKRzAqONnj7NBd7FJkzkzA1TZcKlZqxpYHNvT8ripDZ4MiIwxyAr89XfG/fNugiUzVvNGJAlRWZT1GDA61uq9to7bmgPPGozdJ9FSt6cCWB3r5Prv3FEG0ywDfkIx0bvOQWnqFz72EI69RjSWq6iD7Y4NxsnDzYDG3Eb4rNWVy8McT4aQWDTwmGESF7obIK0nF9GHgEM3oBuCxBwYSfOXANtRNZh5dAnlllIChxzbJJlv3rdo2wWath31o9Q1l+UEjPNac8zBGCeqwXq/IeXBaTXoeAyslHUj33+C8xqHkAd1FfyRwOqW4+mknF8/89FBn5ks7wUIGoi7Z+jH4OMMtBZNqy6pQjPBKMvTtFPZh1JKw9xeuOrNiYw8MzYGNop7IcaI/X6POGM+OUlZjDyuHBmwjq8wJDib8OD8IZ49DOiHiO3hIIA8BJg0Mhx5AcyyGsMwgBLDGy9JAGzB1pUadV3fQ0LfsntC+tOSGWN8iiUpOxIrY0XKxjCgFjxrmvpYMCqLHCY9bmIRM5W6QTL2pTYo0HMEJSrq2JwSQgww3omwbeSRFRinSOnDuk3mrqCro4wMERXJEWOMHJdZAV0zOwbUoQtR/FZQIsKSgCGNJfTtOBbU5Vwcd3qu7BIbr2V0ERmyOg4TmI32Yc5Uc+Lqn9QezZudsKQ628Esfcnk0Pd7dEOPrLc033jma90R12p6eH760RDCR5dxh7/4wx+EdxZn61X82//Nf/5/P3jwEM899zz6LuBTn/qMGlKED33H+1//8Le97++GvsOege2+00QJIA0JH3zfe778fe9/5RezG9Y5qRk4DAN+8gc+8Jmf/tD3fqb1LGVdiGArYG0ZiEZBFVNZJxkEq3peMvZkDR0qiZ2sgi5iqgKoJP5y3NhzLJ30hUHMQqEswp9Jx3wSu0fiHbVwdtDCy9ltmF2M2fBLKSEOErhukCYVJibripGybb5p0C4lq3MfSUJCtFyWhAgskXhcU+R53g4Kn4Oru8DH1KCdsrlzoHZsDNX74Zz9lHl2+zqOkRdTYHUb8NR9itkaMF8Tajfhk8Bl/d4okzKuGXdhhro9FcAqpbHY6LxTxf9Jqi+VYxnU+ot3d84ty2vypp6HdEE6Qk3WXygWeByF/WpXSU1BHgtez6zU1GWlW9mMGajbAIglllS4jiUdmCAbbgihgIM+qMVlZNMrgfTV4J4vmMwj88PMMCoXkGvyZcZHXHhpAnAywCAitI1H0oXNVj6xBMLC1QNZJ5QC4sSHsiBmzaJsZc5b3oDyscataexL6d9xQbCqDeWsA5GBIQdrphklIQSkOBQgaonHUDSOAGI5Vv2MiKgEzednXPdvCMK4RQ0wH4YBh+6AzWYzYVhkzDCAqEyDvqexUcMwwLYtLi4usBsGXN9s0IWAQQPZmRkxJNBiVPF2GsQ+DAMMA75Rt65xgJUYq7wZBGJYEmDA2WVFI1gVQJRGV6BJAiJq/VBKygrItUcF2lYmloCkFIVZiQyTEhIGBHV5JkhcHsMW46FPPYZhgAcDsEjpmCtwFGa8aw5ldme+qQgTiDJn81jOc8HOElyi6gzlwsX5MeWyWvm0y+W6xM3MM6ZyIkmtvJ7HUpcNNgXKBgBzLDGTRLrAa3xj5gMpCQhOHEs3ZFeUuuLw+PFjXF5eShJDenJB+Hocf/Err/+t+fu/8MtPPMS/a/+/Nl2jzG3wU69fT2J28titP3/sM/M9+xgxMgVSt483Z4uOnWd+rnruCli7/1rvOu59r991XX8mgFU4LMqiA88S6wKAkdCFpNQnQCxxPQCEfuW9/K6ia0RUpBq40OVq0Vf9EHksOzEPgL8LhQOAUcudmYs7J2/4+Xysv9eD2IY1ktEMolKwNpVU61K7loWVKuAtNSATEWMHpgGMiJh6hHjAYb/D1dUlrq4ucbO5wrDfw7sGzbKBbVpsNtfCUBmGaTysIfT9WBYkksT+dHEoJVWWZomz1RLLhmAxgCjCGgfvnAbQE2Kw4powmc1ySNRqKnhFp0IsbemHUcdHAHEOzIm60Uq1esskOlfOojELEEnAODGrErVkywWIUnvMzFzqFOg0ZTGQMSBuA8MGbuHhNWBf4qzE9dcACKEHh1gCQCXOIbt2pqnpOaA6T+qgYo+WHKxTJnGIQBAXQt8H7PZ7yYjyDV564ZVZvTWPxBFpSBJoHcTdO8Qe3A+wgeFSwvmzC7x5yWhakS9IKcKTgQXgeEDsCX6xgCMHDIwhRgxWApaTX8I1LTRfEWcnz+LCn4OZ0KcI4inoH71UMtecVm2uF9pkK2qeDfzMEjRe3L8AkHiAyeygzp/GLwDusT/0aNsGy+UKy+W6uKRXRmJVikHCU0AgbMT4+8RgMdUCPGMW63ldL/q125uIRkmWhBHc1PM6u4Jbj0Pf47XXXsPn/80X8OYfvCasZBi1j0hZGGGqRMvNew+nAebD0GF7GAOZszp4PlfXSzHmXjM7JwCTcxyXAsCUtesYMCJGenWzxeXlFS4vLzH0UfWuOpAjsLI0xgj7DCIYe3eIxb9rT38bcIIYE/ooCTjiJfAwug7PyQEiKsa/zInMgmpSkyYl5XAO2WdzpJuwrbLz5ZAMJT7yFOIgIQkxqCwGVHePkdMzDbFUzIgAqQZexRsBygw7ldIR3jLCZr08BjA7f92IRFAwRWHKudLFy4b+MQYtF33OfTaPU7urPRXAqlhfGVCxBBCnHJOAqKAKIBZqVviQvBFIei0zdFEFSowDUFHkuqjmfp/1/7yzCLPOKwG04+dH7DW+V2tuiPWpVc7FvBe3E0iE4ZLccy6JkcUuM9DKJxBLOiKGAUOQwOT8P/RiAUscTSNuxBDEnZbvWRmW6Q3eHiBZ6yYzMo33kqI/cw2lGBGzBWGasolOJkOJLan6C7F+GGUQG4wWErOwcnPrZOyHkVExZqylVS8Uk2tNIlXBPJ1u+XOGjRR5hQShG5NjuhjWjJtMyVKraGXRt7ptRUWVvtjv9+i7AOMs2rbF2dnZmKUJ0eEZ2a0BFCMMObStaIEBRpISQNhut5Ltl4N3czxajEjFJZh1lEQk1hkH17QwZJHIoPVLrE/OcXb+DIgsenUhFFbOjAZKGS918kDuX1tbh6NIYHnNUWH+YurR9/KftFwHmESlf7sDweL04iHOHz4jfcsZHOm5YGFoFoReuQGLAXQEROVxNW9TN8OstlwF2gCZi0hTa9lorJr1Htv9Dl/68lfw+utfwyf+4A+x3W5x6HuRDVBWLbufmRmtd1ifrLBcLkEpou97PLraIjOfeT3M6fsAT8Z9QhzHWqjitoBRloNlExj6iENmtbswHqMqKC8GkurF6f29/NKLfzcbSiGoaC8HnHKPn/zzP473vfwSzldneObiWTz//LuwXp/gS6+9jn/5Lz8GQsTF+RqnKw+LAQaMmz0whK7MxczwpiSrlG0aGGslk26Qtd8Yh4Vxpci4QYIxVLTjWsrGmEdjRJPPavC7b6ZMfTa4s8uXWdx4NTOxN1GzqytWNIm0Qt8FLW5tEY2EKoQkFS52cScM5SB/ExnYKiSDk4YWkGi3p6FHDD1ggNY3OFl4LJyFz4k9tsE+tOiNx+L0Ag9feDfOn30G1jU4HA4we8keJRLXeowBh26D3fYSiXtwPEVMQ9kzEqQ80hADDBtYECxZMJvSH9b4AjByfwjoj2JoiZ9a2aZUCAIBGmOwPIBSsy8ntoAIiRKIrCbeJNXykz1an8CtuOhRm2uceyElSQ6q5m5+hiHNjzC2uUu03lPynJjvN8xTTbdj57yrPRXAyiAhGQAgJAQFG5qpUZqiYKBsyI5c+UyZDDxmg5Vvcq3NMVXwnsfl3H+ddtL5OLZgp9pHkpkbDcAttOL0OykFpBjFIoZYGArBEOMgWSdIYE5lMQoh4HA4oOt6cCI4JzIJxhh0w4CoteeMEf2YEKYa1NmSzhtj3iyappFJRlRirJAYvnG33J+cXR3UA3aaRp43B1O59jKomoKe23Fuck2ojlWDq4o9MqJsTtUmMRn0VAGdGMRqM7cF7wQQaKC7GSd0SgKAc4mW+TghkjI9MNPJOgwDeIjou07AAwwWiwVOT0/FfRiqkjY5BZ4ZsQ8wkdGuWizPTuCXHpGAbdfjq197C4/eucTuINIQzjaa4ZetNNGikucBTWHXa/QNAANnGpycX+CZZ9+Fi+deEIbCjmM5B+hnV7L3vmw+RBLHUAJYzbTPi6sxL3qWVN4jAiog2/c94gC0bYu+F7aK3Q26ocfq/BmcPnwW0HIfEtcy9vet+HSiguLnY2cCnvlIUZvRMpq+Vh3HYtRfGg00vv19b9EkhiGHzc0Ob7z1GFdXV1JcuuvV0p8qOK+WLR50Zzg/lQzCruvwzuV1GasyvsZ1KWeVZsYg3zMzw5Iu4QpEU1KRyiByAUHBWgxc3JaRE2LMBsF4PBlDapxgep7cD1Tmk8ybtm3Rajwmc5SA7DTgZOGBhQNZERcmQ3Amy4WQGqBZfDOCwwBH+f3MdDL6FOEgLDKsZFqCWGsj6n6QVNKAGbCAIcYQxvAMMdRHpfvMNoJz6Rn5bKzW11ojkRkIxGLc56GQCFGz+vq+R4oobCswrgUhhAKsrGHxVOTQCyZ4Z9B4D29FiDmP3yFFWL9A00hJK6/hDHVLSfsQCdZ4PLh4Fs6JpATHMGZA6/0Nw7bMEQE3Gg4Qe9HQy1nk+p5U5YjFQBpnVv45utDr9TGX+uFUYiqQIsEYLppsI6jNa7ZRAgJgdXvnvaI8B8SSKZmbfDcDo6lxdIvJrsbzXJrhvnaLcPmzAqxSGjOCUkQJdmVCEdcEjQiXoXJ8qVYcrn/eceOcwZbm6fBIX8r746/HNlIzoQlni3lZlAUUlL2dqGRYSRZj0ntIOlESiA0MR4zLXHaxZLYlqgsglUVt6AO22x26g2zSTdPAWq+SB4TGL+AbC+ZYhCVrEFkW+kQlDshaC+vbCfDIn82vSVbHtG+L+m0JTpoGCsofqdAMtYVwN6ga6dnyeJgnx52zU+P7mLUEoxZkzrQrCuIxadkTHRvEyhZGxCj11+YTqUzMxECVXZlZidD36PcSI5QisFy2OD8/x9n5OfoSEAvtM4hbU79ridA0LU5OTrBYr7APPS63e3zx1S/h0aNLdEOSWLFZvJ4x+VhTpWA2Fs41iMmgXaxx9uBZXDz3ApbrC5Ax8A2VuSY1GUUdGiz3ppaB/Dc0/j4OVOk7qt5Tcc881mEBxwTAIXmDpl0B5oCQdrBtRAqM6BrASWFmGAPMsvkq/+TkATNBMqiqMYS8dgClSPHk/XljRv6Xn6+FH+8dolrAfgAAIABJREFUQA6CL8fiJNcZAWs9vG/BxuIQEnZ9wHbfYbfvSvHzydwD0CwDFisxPLooGWbMOdOMQBkwUUIYQmFc8kZScGBh8nX9ZAIniefqc8axcUgIZX2ZGkCjwZebcw6Gp6KvBUDDCQuYJNh8uVyibSVgf7FYABCF9X44SH3RlDD0HaxbyJjQZdwwQJFAlDQGjxDDAKg2GwzBGiO19lKCh0FjGziSYuYpSpIEkzKKiDoXRceL4yxRBygbMGkQf8Q0NjK4uTTGaEhGDePgKP3Wx4B+COjCgE7LTBGpsgQJOOQSzyZZsYjifUkhgFNE2zRonehWWSJVk6fCqDnXYLFYFWMXqsqfs5CZo2SBsoE1Fk1rcX5+Okn0KZnfKYGjVC+IScI/RJJlj7TbIDAh6yVySXLQNUA1CwFo3BbD2Azyp8Hd0qJOmCqLEBA9uLI36JKCarNkqzM+jsQFCxgFQZl4YRqFXEs6Jak8r8Im05SFnscyjwb11FCuf9ZtPmee1J4KYBUjl+BYWCNuGGMAJ5bBWOJmjJdiZtjo7zjiVDJ/TvNn83e+qdftKLBCxdYcBXS3GTAiAlQrKLtwUrFGJRA4l+4QCzLB5sFAEtMT9bicIvo+oO867HYHHPZSr4xINs9M/RtjsF6vQYbR94eyOEyDqxPCEDWY1cC6BlYLHRs3lrmJMRUrNW/mzlh9TqbsN4bHwV42APHDQFyf04K0zHKdJiYkBVOOqOzRueyGsEJ6PJbMRWukVIVR+QID0qKqUqyUWLhPyjRzBYbzWLDKPkZEjS9wMCW2RbIkjWE4O5185dmn6djJAJhzoPpBFjHvPU5OTnB+fo6TkzNcbm8m40wSIgLSIJat916sVC8sQAoDuu7/o+5NuiRJjmy9T1TVzNxjzKysCUAXUI1+r7vfhu+QP6BJ/v8VyXPItyJ7AlCoyikmdzfTiQsRVTP3zAJ6WW04gcgKn8x1EBW5cuVK5Mef3vH0ckLcoOlepzIVeHVoB18Ijq5mX6vOUfADMWm6xYWR65t79tf3ROXl9/YqVMhVcOYL1UrX5jLbrYaw7R1ZH9MVujGQVChbJ1vvVVGAAKZYXggqeOgG4pJIGYJzIIOelhsy2idFzmcQln62HoCWqrepGTd+1V82inbit+/UPrChpNvXZiXra2uOFmU75fRJYCnqLM3ZbJtrfqrumYQn4ciiPeCKC4SwFkJcFnD4MOmalPPy9lorZU52z16PsqJVodu+gtHZoU/GOW3mq43oN2XmNtzbA6fZHu2/Z1QDCX1fDsPA1dUVUxg4nKL2vUMgl95o2o+eGpx1kWgTo0Uu1fi0S2k2Iem8O21RpSiSaURlkJQUzajq2In3hJamKtDkEZKUvpe39l7QFG/LDGjqdbXli6tnRRkNNdE+jWpjUs3kXIhJnSotUjDb6MWqQ1c74Tcq8NVsRM4ZJ7AfB6ZxVL06mkuln+m9SiyMu4lx1GC3ilNOK1lT8m4guMbN096tMQnTNDJOO/ww9XWSc8WR7N4yJWdinEnzwun4xLycSMvMvBzJi6ZsS1XtxOCK+YsCRe2CE507TdA0Z6nZRJUlWbdo+0fpKWgdF6jSijPc5nltfduJaXYfWiZqLdzocwwdod/+7fJ8bo9tU+vt9/Z1l//+S3/73PXLcKwS4NUTH8Komh3jYArRG+PaBqGodzoQOmRbN5GG1NanyA7RsKaxRFZ+yF9zrC4Hu6UCG1di+/r2t+2EtdfmdOyft8LNajBKTSCBigfX+h5tvOvsqJjKbtRy/ePhwMvLS2/X4r1KCgQJSspzgWm/Y1lOxFTWBqIbx2qaJpZZjUJTVqcvMo+IV/RQikL0G8dKnaaWMtC0YuNj9MjWr9F12zAVyFLO/nZ5ObO9RVp0dq5HdcmjauO6nbPLx9Qwq9NTomluycorCm7bhqRQSptfdQBsRaxcG1PiztlEMDPW7kQR15x0jbSD5/r6mt1u11Or23l4fn4mJo0eg3imSRvmTtOEOE9KiZfTkZeXI7kKAdeJyuZp9u+5dfjV8VW9sdMSES/4sGO6vmF3fcuSNCXkw6UESN7wrM6J+2cioI0gXs/3UltLzls7o5YqzULNho6KolQ1ZwY/sAuDjl/KVDfY+ljnVNMm5wjKJUugbBwq2SLW4hu0szkAPo0+PzGYn3R12HAwxJFixA+W+t3whVTdW3l/1XlyWR3EioB4ipXvI4Nqt/mBYDIN2/Luhqp0O1NXzbG2g8Zp1xHH7TpoSJmIMMdkU+a6k9B04TraLhqIVFY+J6yBHZ1jKda0Xdeqru09x1nvbbfbcTo89apIRpU8SUjnAbaUnCuQveeUjhTjNml+ytKnLhl6qd//tMz4aPInDgZxDWOk1oKnkmweR4NwnQjOkKdsZNuG0KlEwua7icqe6J8MObf1nVACd8qFJSdSTqaBJb2a2RnX8CzdJFrZ2ZNiVeUjQnDspokpeIJ3lByhqqxGrWgBz7BjHHZmd3Ude1HbpcGfFp4of1fIGR6eZnZRSHViV7X9mLbqUZDCGY/LjxU33DBNid3VLXE+EZcTp9OBuJyIcaGkhdPphHdxrVI1p6kU+17O90ikpUH7+q3rd27OUK26bqtoqlD3uhanDRYM5Jo3rzu36/o+Bpz4JoBiO7Se2/5z9PHzTpHuK+nOrzQUa/v4JuhqAdZfA65+EY4VNUB1OBkYhyum3Y5pvyOMI8M0Wj7Wm/FcPdBQViQmL5GSNika1gkJ49QdBxHBDSuidYkwbZ2D9rd2eYbuWG0nbetsNSLy9rV5scoC1v5uOSvhfIkzSF4btZYCrpH/IgShRH2flBLzHDm8nJjnSHOqIBP8SHDOIjY1JDGqgOiyaO+1vFkM96++YD5Fjs9HM+a6eVukVjcGgs3CblRDKZXSdo7kboB0cgrQUlV1syG0n2C9cHoU/VlRhXYPTlZ5h0unadt0dDt/IoqQtdSeGqD189aKGF1TXhwMm3ll0fuwFFKl6aS0bNA5clHgk7XQDo9xHNnt94w7TXHlqpIScaMn9vz8TLW5vb6+NsRKuRXJqwO3zBodh3BFddpuRUpBfKU61eDKOfV0Yqtkae5JKoUhePw4cn11z/76FpHRKibFCil0/nIteDxOHEu29JGtB1HIRJ+HOvVrxWftlbKJRBicpV31sCgxW/WpfqeaErJk7RUojhoXmCOtwohi9lqkwT3nPe62RlIEbxa79vWm61altwXR0IU+MDan3VBeFJwgF2i4OR+1VlwI1BhNw8p151udTy0SKKJOZRVl6dWqVYI4pz3mSiXmSpVKKue2p13FvkbXEirO9s72gNDxWtdlu5fanfjGtam1djrDZbq/I8y18fXGPhZSam9y2ypqQYsb9vtrwqRo+e5qz9XNLY9PH4hL5nicmTx4JwyTb1PRHZfsHK5g6T2d8Nz4tZLIWQjDAGLfIWZSTYx1QIaBVJTEHqu2slL/ualwpx44SV2FT3MLnqhsbb0T0fmoraqsnbVKfI8xkeoqo5Hy1pa47lQ1NARji6Ul6r1h5HupiBN2ozpV5+RoZ/wzwYWABFVax4X+uIimDmOMpFQ6b845nYN5iYjLhLGoZlyGlfagHFLvHb3LWtXWYuPuluAnfJi072xN5JgYjy/U9NJBgFIypS7kOlMrTN4mta+lTRFLdeaMNXK72uZesd/WQlu7bg3kLkGPSqPinNvg6qSvTdkgVs3W93V/kfbbXtvz+nIPfu6/f+59ttcvwrFyssf5wDhM3Ny8YX99xbjbwzhoRC79ieeuYklQNEcf5UQWq7zZpJGU4Bxwxh/xXlMkbI3oZy6RzWJpvy21FBpB/eJqTtOlXpSv9yoqV8rFhGvFSEoLeXkh50hOkbxonzfnZ2LKzPOR56cnPn58z+PDB15enknzAtlrxVQBckWcqqMnhA+PSqBNtVDFU0i8evWq39Pz84HjvPByOnGzv2K3v2K3u6JUjXClQhiCOUyrk9W/34a87AeFZ8W5flbVnChlIy9hz63kPmetCKWUQk5FRfWMADoGTYntxtGEA5vOkFXDuNXp8l7I2UrVa8S5oMtGipWRW4qiVKrkbthpwpxFnYvgwMuO4grZaypj2xVAytYxNj6V8SuWee5ctBQj4zDxxZsvub2/4+bujt3VHgkemY+kDSJ5fXOjKdwYub254asvXnP76h4/qWOVS+HPP/1IypUkEVeEEIRhcHi3IoUxJoYhabsclxmGCRHH4XDCBdjtX3F1fcu03xPCiBv2um7SCec93g6GQZQfIgijX53lXDXaz7GLHGyQPY06SzSirKvkWVjqCedhGDwpaWWapJk8juQYIUZ2056SC8fDI3MIDLf34D3ZGnhXrPy/221ziLZcv7bf7KEzp+tnkNH+Xptnrb662OFq79uQsiqqGp8Tw25Sh3U3qlxHNamUmCAX9uNEyercLMsCotSzFCPD1RVjGFT8wgWG/Z5kxOGYU0cCtyhtrVX38sWB4zfVTuhq0Mq04sg2LuM4Ehdt1KtVYV57rfjVTm7Rsmkc+35tTl0zeeJ3+GHHF19+w69/81vuX71RBLc+IQT+7vf/FUrmhz/9C49PL+wmz35UFDI4RY+afQwIxQn3N3uWZKKaVUnpOWeW+YWcfG8G732we7JqWWsXRVHnrwnSighhg3hueOgrstdNe0OrjENlY5kan9V+L5baVPu3jo06ZWpHIudniiLcizZtLhknVfuFjiNX06Sk9RDU8fMjbvDEVFhKwe1u2d+9Zn/zGnE7lqjOSTGBUG25ZXpldq7kXBE3MicHx0QsEcikVBh3ezyB0Wu/QefVbgZxLPOLipQOmZCjVm2WiJTC/StwnCw1mKk1kkvkePqII5PSQkxHlmUmLidyjp1SUvJRuZ8dVdfiJeexyuhieoiC97VXuypvbJOOxTpL0JzYNvaWyjMHbas12DQKfy6dd1bEZOh7EwuWzXnnnDvTflsR478MWf0yHCvXxBsHnRQxL92NqyFtA7QtjHC2yHJBXALf1LqtoksctbZDoXZxTcsXWGR67lz1qqfNR8rWqNdqhvZiwkTL9nGCu3C6fNXot9RVb0Z/MpREioHoKlIzOS4cRainI9NuT0qRkjOHw4GnpydeXl5YlqhprdJy09mqdJSsOpe1BUEzys4Frm7u+j09vjyzzFFFNKc93g+4EHqEm0VIXghFLAW7GkR9z9Vr9y4jeErjV1l8pjwAXbDah+88ZfW5nz5mmxQgbCMYWdeMc0badhdOa+p8lNafsKUydao2qaA+hqAoVzaOm0c5G+s9XZLUq/27Ranb7zXuJ3a7XU/r+XHQyBc9PNs17AYGa0y932uF1W63Q4agRFcqsWTl9KAHQjMkCoqYEfeDOtD9EFyN/IrOJk6nI8fjkbvdrfKl0mbdB0V1ne03r2/QnYba174t+epMxkLTpi2FuNVayrngnKIAtRRq1D6ANSVqyjBmJCdcyeT5RBw08k5JJSoAJKyUgFZN1FOSYtwVWef1PCjamLi/FGVePCbWY7D09dKQS21s3tYVKVJzouZEjAtCwkk7RHVNZafrI3iN4IMr5sQr4uKcA+/MAfA9SlbDr5+HgG8E+8131dL2uhb8FOn8vyY14cXhnWrXna2JqpVYuTahRT3kRNYDpKf/LBhwYWAYd9zeveL29p5x3HE6LoBQcdzc3fHl11/x9PyR+fCBw3FmHIM1NV+dkbX6TvebF7TqLwOomGygMp9OFD2dbT8PVF+pNYBo4b3U2hHmVsEbmy4iG9ShFUht5nlbFFAtBdXSr6rGnlWh/aIdWGssD5W0xE8QwNrWT5zxaHFJ8J5pCIzBM1mjZefc2d6q4ihO2O/2DOMeP4yqGwiWiTGeXtXwp/fqtHNNuVhiwVbsCPHu6lq19rzHWRGPc8qX7aNSM+JHyFkLAFB9wbQ4kISvBWTCFaMWCJS6ENOJ+fDC0b+wLAsxzpQqBAl463dayaQkK4JdWmpQK6IpRXl3ZuNbM2spDW3ajm3bsisXuM3z9vd2vZ2hXFuk0rkzlYDt/rg8k7bv/deuX4RjJbKWtK+LszFoeyt22xhlHeMq/XkSPL55u650YUfXyqWsKafyRPQ9FV2p/TfQc6ztvs6udUa3N7/+tvf6BM0ykp2TdRPpYRXI2RGAkk/UCoMbqKgu1G4H79+/43g88vLywvHloHoqOXfHRgU6S4fonXOdN7wttd1WigEcXo5aheaUn4UZLfX0PUkSJahDkoGcP5UcqG5j4GtVKNaVDj23XmfUNcpr372U1NHFbE4iPeI87/XXigaacWmCqs7E79pPyS2tWCgSqcVD0YOljUVrytyeV2lwtRllI8J3B2WzabdOIRvksW/coirlDuk8QT8MqkdlxmRJSYUe2yq39em97/3cvHdUL3rv3jOOI2EYcNaOxlu0WY2QVoFh2KFNmr2RaaumicUr8bYkTscjjw8fuL59xf2rL6kIxYHzQvWiqt5bJMg2iRhcYRT4T+B2Fc4U8iYNopwMHVs1pIYUbprj1tbiya+E3yYtkvM6toosbrecdCTiMmW/fT8d4IvHtk7X2T6Vs+/dXuNEsC7Z4Kz1uAOCg6QOlSLPquAfqIaWZD2IPAxSLHWqs+VL0cMpJ1zxOByUBcOGzZSoVpzdGWvfwQu75E1bqFiaRITsNMir1VBsHzh1nqIVgPg2BFXXvV8RYN1rdQMSrp8XwsC427O7umPc3SAuID4zjDtSfWHaX/P1N7/i5fmBn344kUplSRlfq/YqdOqk583hVktRgdlSSKJcKU8CMoNALUoYTwjFFZUZkdw19ywZqnsUAWtqfI7ksTohdpBu1xSAlNz/1iQuUkPoz3TbNj/23t15MzkFKdmI9lptPQ4DuyGwG0eudiM764bQSdy1Uqpoo3Icg5HPxVmTeqfnB6Lv64x6UWxNaDBf+/quVVGnFNWOUTJigYrr+8EQNz/0ZuAuF7Mrxkc09KfEmZQXLcbIWYudgq4HH3YM4Ypxd8vpdOThwztijIRp0tRmqVSr+AtekTY2PGXlRCo5X6ev8SUbh851Z1+nU8hFnyebThqXfM8tKnXpKJ091ukD63XpaPU1cuGk/dz1i3CsNI10roDarxYlC1gStb9Gn4xG2bZovHMUX3CmY9KcKrxWu7Uo0D5I+3JdRjb22KfXOQD4yXNFkayzMnGgNdmspi6r6JYuXieCOI9Ep5uQgPOTVXYtPD898PDwoKKDp5OKLPZyWM9uGDllLFKI6vWPipDNy9LTdiUXDofDZlg1+hFvaINFQlWakrPp34iSEEsJkEvvYacwrEZu3aEULdERa5IKa8lxpS34leiratTNWdGN7kQ5KdqOxuYL+WThbyOOdR7OnSARdep6+nLjlNX2P2tO7VHHABRdWSPqTZm8ORjbw00dZH3PsvlcJwHx2qMPrwYiVUOrtqhP09Rxjmm/Y9opYrMU06fxwjCNqn/lg6YAnFd1eFdxoqlRIUBV4U1BOR8hBBBProp6PD8/8fDwgbv7L8hZo+ziobhKlmLVl2sUjxmdpgS+PVB0QDTl1BxN59SRJYvdk0NQAcFSTTIg6PfoxjN46qLIkGa0mx7TuQ5R9p/bj+cpnfa7boIA58+j18vn9u91sW9rjivKIWilXtFgoqIOIBTEY2ssktLCLjj2g4pI1pzwQ2CQna1BTfPtRs/gIFCsPtAxNvvlGyp6jjwKmd6FcYMWKwoGRVxPFTprChyjImfOqShkMM5i8NpjLqVFe1o6pxpT8mk0r4hA+zxHKnB9dcPNzS1hGFeumPMgnjAKr958ya+Ov6GkE6eXjyxzYhg944gW2FjfPqkm+CmB4quJWDoSCU8gi6KmMWo3Au1Fb+iprUnvPXWTZWil+i0tiEjnU3VUe+NXnx2gNj+11hUxUU/0fC1aCrw5KLpvKlSTKjBHGwqj9wzBsR8H9ruR/TgxjYFpCOaUOgvIlDupDaa9purDBG4wV71a0UEwfm7LqmwdPe0PWo2j62olFxUuXZYDYxg0m1BNsLqoI955Xrko6rx531oKYUjkItSkoFmpmRQXci6EoMVhwzAwjFdMu4Vandr25YHW0xYKPliA2SB3sxtVFO1sqd4Sm85fbZsb7403auem8uRA8hZxPKfgbNdxyyxsH7u8zmz6Zr631yUq9nPXL8axgkQjumUyvpVwI+ZDrVBuI0OUmi01WFUF2Q5nXyvZ0mKC0/Yb3ilXw7mtNcbCBTYr9Wfvsm7RMjgjyvaBdhevqdUiaIsCvZxNjhcPvhJGr0J6knEJ8IXj05GHhween59VcdschKYAHkJgcAOgB2eOqTsHzZEBemolxvNGnUXWSsfW964dPrkUbctBUpG/YuXeuXQCrds4PNWa6JamFZMT1W86xUPnMGyJ/jlX44I4S0WsTkHvVSjnop4i0g+E7Y9uCBApfSI6eTdHsulFtUmsdlho+fz5xqq9N93qRGBaQ006oLY+jvY+ynfQqko3BPsOg6JiBWJOxJw+6dfWDL8S1wPO08uyMw3V0Vt1zik668C7YuhDIZVq82HOqPV9dH6gZEctieV04PDyxMvzA3E5aF+7QQ8mLYnXtYxbHay+B91qpPoY1arIsKqM6kFTCsUpCV3dSY2yJTlqAOpACUGdUBHqMFCHQR0uk/EQ763DgiKG1XnitlK2btfUqqP2CTIFiF9WJ+vCsWok/+1j7fGApm5VfNZ3G99QNgyRJReOxxeOL08spwM1nvA1Id4xeovQh0p2IKIimvvBMTpBSJBsnEs01KKh6Nbmg0ppDajbeLKC53lTdLCKL2owQskUCinOnXTddNw6Ib42wrAGRIW8IsU2JmNVsVYRIZ0ir958ye3dK5wLKv+yJBPk9KSYmMbA/esvOB2feU/m5emBsoGHFGWSnuJS/o7SvaWCC04J6CKUFLX3ZCpQFaXIhgg2pKg7BrIK2XgxBBZwSE+dlVK7w1QtKL9Mm+tYr+vIN44Qqwad9mY0x6qdHToT5qCZJt0U2HnPbhpMXiEwhoHBO5snb2ncrI4VAi7ghgGCIc4tK2O2MdWl26YVkWvIT0NY9axSFDSr0ruFL64We1hsPVtw5Bw1s+EwCakkCoHCqAicU8mN4xyJSyUMlSEJZQiE4BlC4M2bkVorx+cr1coy7hUUUjyRS7LPbJkX1d/zVmHoXOMptz15HtA1Wsr5+j0HRn4uiOrrb8NNtFB58/pqTpprmEt/3Wp7ft5PgF+IY5VyVKQ9B2vrEXDJI67gNQAGrNP7Jq5cxeEUqVdSuqJDHrBTVjUwWprDrc9Z36jBj/WvjNc6gRd/+uwE9Cesdaf2YRaFlkp1KnfgXEU5PZmX+ZnD0zMf3v7Aw8MDx+PRGrdKjz5rrUzDTnV/QFunVE25tMbM7V4aJ2iLlKSyphO3faIafwAaauO1BHkLpRqi1aIkEVVsds5BhWKNjGspnZCo83VO3tefqmR2Oa/IbNIO6mi5zX/bxqnuE8dKUY62qRxNiTpnbRsiTRvH+BjOyO1azaZctXa11F6fOvvb9t6pmyagdY2Kge7cdL5DLcxWpTlvlNcLtfeg216Ny9XmUnk43lruGNJlTlelOTeOXAsxF3xSTazddEXMKsAIGtE+Pz9yeH5kCgNc78GpU9XbfhjXqq0Xt00PNkOFpglq2ET8yeNLphTjRll5tvYozGRn3L9h0iCnFMara2JFK7vGibDbq0M45n7oimgblzYvZylZMIfwIgpt/3a548zF5CNaQFQM4RQRbWm0ef0go1YhCRblCzjT0BPl8VEKaZnJMTIMgS++eM2vvv2aV/eqsD8vCT8OpNQ4j3r/+2lQraGwthFZ0myo4rOlb7bSGWu/slou7Y8ig6t0AAhendEhQhVeXo4WGFRaxXT73tXel55GOncy29X2WNgNfPnma65urkmlkHIhJnOCRTjFhPOO/X7PN998gyNRSkLKwta4KqrbgqWt5px1Zwi6f+McyVQSlnJG00W5Zmpyff/hGn/HClpEuuTEmbNk9r85ToBSRKqmRNtaKgoLWmWmIWTNbjeEqCHVxdaOrJIzg1cO024cmMLANKlm1RiUY9UKM/reaf32pBLCwBAmvDVNJwvVNT36NYjMTVC0GOGabIT22gMTpJjeVEZqNkmNJtkSNa2N9duzMlRlIzuU1Qe5CDFVYrK+g24g+IlYoOTCUislJ1IQQvDsdzucc+yCnudqw2ZSWnh6/kiMs7VzW6tVtWhBx2MIAUhne6AWvTOt7t+Iklb9Ls0ZOiOlt7HdIFBbhK/b85859Otmvtt/fw7F+tz1i3CsljkSc9Fc/BCY0glJO8Iy4EatYBDvlVy7cZB8bMaitET3Ohgt+m6Kkxj8WKou1jMjrI7ZNi3YnLL1OQLVxPh6i4v2uOu59t5cuet2VEpQrZklHnCSzImK1LjgyHiXKfWR0+GB548fefvjT3x4/5b3b3/gh3/7I5iswuAGfNWIcxxHbm5ueH554rDMFFcZb0aWZSHNB16enhQNqrppvdsxH1eDOQ53zOnE4XCiTJXdbiGPETF5gmBk2lyL8r4KqhGTKq5oShBvDYuDEqtF2iIUSi2QitHgtEIpl8xiKvC1Vg6zjvcwjJoOKJUawQ2CL14rV0xVWAm4AakzXtD0qa9KsVOPGwkDS0navqbLPSgUHZdCydoCSESbOLdIt+tlyblwnEZsp83G0u/QmlZLEeNSVEsFRXKBcZoYdwNhChDgVBfmnJhz5HA4MD+vKdkSI+Ic+5srxtc3uKtrnk8njkV4nDMfnmcej5GM2P1lknGdUsoc48Ld1TWzQCgVmRdg5vY68fu/23F7u6cUmOdZCzziAw/vEqfHv6HsHeVKnS8fVNbEDYGZos6VUzmBcySIDadjswXYHPjtABfpFVshZ+aXF65RZGYfrvAhUJ1nvx+YH4Tx7pbh9lZV4I3r1sRhb9YPsYNu3YK11g3JfP0b0IUi/yPX1miKSasYpol8Y0R6AAAgAElEQVQKlBWVQMmZMp/IS8TlxK3A//xf/gv/+JvfsLC2EWnq32cIWvt3OZdseVm0/+c//8u/8OHDB56enjSgskCpfa9tkUatlZr0fXNNaw9K7xCnqEKtwv/3L1f8+7//gbfvH6k43SciDFdX2kMwzpCTcfx2kGEMgfkY8dJQcfB4/ubrV/zd774nuImHxxO73Z4wXlMOkXHcq7zLnBmGPXdf3rO7+4arL37L84//xvHpo+49KVBVGym4yi6MVCekXFlSIYoe7QXHNRBmTwgLS9L0aC6QcZoSK4pdKeJSO9qW/e6T+VWUqmxQVxsvJey0fsB9nbWq163j6bq4ejX6irAXZ0eFWMGA03TfNLEfvEorTBOjofDexDClRkr15BLIdaL4iYInjNdc3b5hGCYVXnZQaoDiqG7PgGUuSqJ6yE5tHqKcMAUIKrW4HqA9Pz9zu7tX/qfzqjNIJadMkqaH6G3d557BSUtkSTMxzyxpQbBWaWHPNO4RqdSSyDmypERZCg/HI1C4CWKSM3fc3Cmn7GsLtFsGZllOPXhsyHOpUSVYau3pc/U7FRxwpYIk5ZAtszpT1ulByfrrXGmziGoBiAVSDopEiqisR8mtutwjhoCXknpbuNK129aU5CepqYvrF+FYJalKHKxiToJGGy4FQhrW9McQzkiWkv1nI9htqbJIJjjznDROMaP8GX0Kg4ZhE/2eOVdtMI1Yz0quA315hxOlQfpCSnlNXYkJJ1YlKAfnKDFxfFGU6uHhgfcf3vLu7Vse3j/Yd7BoMahqdUeXjHcyjiNQTKIBsoOXw4FSckdVSlbdkz7mpm0DWN8rQwRkg2qzHlJ/6aehCmI+b/Nf14PA+hvmREmJ3A4F6022nYNStWWPVl5NEKxCpFSWZWEccj+cnAScK0aGdr2Cr3Fm2r1pGmTN0YuINVstPS3RoPA2Jtu1sY7TufhrJ69vlPxLUZLufr83sq4jc15NuEUEtFpMRRSnadLiCu8hKcp2OBw4ncz4GPIhwCyOIBBEUagi3ooRdMmm5A3lVJQ0hKDumHMMzrEsJ0pJTGGwKNC0ZlwzCuogtwarBa1ia3jxtul233cNnNVAUtFFi2lCFQYnFFOp9lbpJ160ya4pSFOrVgGaU4WYqn7zpBo6VS1lqQN/znv7DzpWn4tI228nYT1la4Mmkt1PMe7IolWBteJDYJoG9uPuDNncrpcV6Shc2q1ho0H2+PTEw8MDj4+PzPPMw/MTPYXeHMm29iwdFLMeTKUah0gcNzc3FAKPLzOPj088vRy1qW5VZxenY19rU8Ov1FTY39wgVVPMwQVa2y/vB+5uXzGO4xmimtA9puu5Umomx4wELeK4e/2aKR/40+FJ7XrVghKhamegoErx3hd8FQqq+C02dt72h3PqeNH0plbpUgxj2oxNPJvbXtWJphj1L+ftpbZoXksNtZ9OU3BYRSj4oPM55LV839tBHrwGb1sETdct/UwppRintVUyD2D80kYj8K3y0fbCNo2liOM5N/AsXSXrmstJxaW9F6ZpVWRvDoU2PPdnxn9rs9a1bNvQqSZWU0c/Q4L0GdpDsahNDGHpBUkiqtofjJvVHRlzCnPR4LcVNtWacTQdNpU7yYuQZNWMpDqrPF+/QJuvrggvDf7Ynl9b293Q8bpyKqsaNG3l06buUz7X5fWLcKwO9oV8ytRl4SQwlIyLtqG8V8cqhb4QtFrMb7gw5wZUJ9AZOqGloa4qrN8E19qCWAd9Y2Q3/15Xk/0uPY7dOFt29dtYl3trROx9BXE4KUgJ4CplOVKtofLLywvPTw88PTxyeHokxshud0XLpWt7Mn2v169f44Pj6enBFqkzAbeJ/PRMCEF1TaoSsHNqHDa95mXRwwk1STk14rXKDGQqvqoBaxUyZZOy2x4MyqtqsgVWgUlLn6mx32o/dcfKDn0VL9XS/LkUwqIbJpXMVd0zDAMEnY+jSURoJFHIKNlZD7pzQ9neI5VszZCxZrFKEu3pDbfqn7QxWY3E9hA7P3xzziw5MbiGGijp+Orqiv1+35sYtzTz9rXbdbrb7bi60p5gLd1bSuHp5cAHSwWnVGhNpWuDr4NnmnZ9Dbc+X94r525ejuR8YweTClOKVIbRczg+czodmGpqOLsu81oQKcr/EU0J9NW+cRLW3n2b6rGe/W5FIaXlDPWnqjPih516hABe03zLsjDH9zgPN/f3lu/c7KNtgLPdi/aY2zxn3cFwrir6+atzjLZOWAu0QBHxzt5Rw5xK5LjMpNNRg8J2AB2XPr9rsGeHAmtQtHWqSiksJg8QguP6akfJKtLogxAGJd/OG45kO/Q8KrwZ46zyAI2bJl5nxge+evMFH9695927d6R5oabIcL1XiYJibVe06NGQtkLwATfsNACswhS0NdO3337LMEyqi1VRD1ogDBPzooUZUgO5JuaY8MOOq5trruRr3r37iXRSNKN54FrkoCdWEE/1jVSte1cDSrEuBAVcgRSRpIiWzn0mtz6wrVI2xn7IX9rxZHO5Dcb1PFmfq79cXwNh8JYoMQkXQ+v1fFG7MvqgSFAtYNWNQ2sT5lwXV24CB5FzNBP0PVvTZdeKd6oiYrWDBY16YE7Vz8QODn2Nc5U5zRyPL+z302YNbpsoW4qxbNdn48GujpWRDgwlUlrF6vQ5Wh9LoL+uBZOtwll1q1aqRwgChE1Hk1XBPudstqZA0a4dJUeiD0b9cVRzsHM1ZLcan7mgwaQXcwJ1VAyM02KIllqvm/Qp5WwPrylmrxp9Vdv9/KXrF+FYDbc3fZD91V5Ly60NTR2CLg7vEWtxU7yz6oWwepSb9xMRk03QjVdDMC0UW0RGWl296030ukETzjYlUF3ror4iVz+fb/XdqA/OG4VH+QOG7Sq0ZAq9y+nA48cPvH/7jsPTIylGStENFYJWe4UpcH19zd3dHW/evOFPP/wRUP2jcRxJWdMJDy8Hu18tu3YVklMkqF3LsmgFJVr+rUbZvm9t6ZVWHahOQ4uOP3cVVp0lqsLyfYPWVW1ey+710NKNp/22BE+rxouSiblaxSDsdpWxKowe54j3BWcIx2J9+eY5nqFNxRZ/u99G3G0HWc5aJOC9R8LGoNZzJLPde3OsdHz0e6WNw7lFKHZXe4uwXa8gavfRCgnatd/vubu74+bmxsbckcVxWiLvPn7gw/sHDqdF130xjoHzuKL8sBACLowMDDSpg8abm4+KdIWgAUpdlMA6DJ7D4Ymn54/4pwfupBKmCcTrmUdBZDQkaEO0l2bEXU+L60JbEau+oUpZ4cuKIjtxJkbVNVqBysx8OvDhw098eHjkcHjm++n37K6v7b2Va0XZpO/l4jDZfn7/m/3+C4i9tHTl1olaZ379LeYIuELr56lVrTMvz49a/GARd8OwLx2os3e+TOdVJY13BKgqH2s/jXiBkxOWFGn9NVfe5OZADqOiHsaREREOpwXnhFf3N9zf33K1HzkdDggJL7CUpKkmL4QwbZyAoId20TYt027i66+/4Te/+Q3/+I//lRACh5dnmiwKOIah2c9ACEKM2mFgjolRRq6mK+5ffcnp5YE0H6mxpWscpUR8Vf0ohyix3zmtCPQDzmV8AZG84WJmBRC9ol21roUeUFTC4ufmvS0R21Ma9DoTIV4P/C0Ko45A3RTNQBOoHAydCoPviKTUjFDU4TKB4yDa2bQ52I0rmaszemdhcOZ8SDhv19La5bhGeNdKYOn7NZPriub3LWHfJZfYK5JdsNZsqSBVC198A6uaWGZRSYzc0dXPDGRtxTK6W5rkQ82qW6VdQXR7qQNTEFG+aKNkKEgifU23lK6i3dXiN+0PW0zc2QePDzvGaY/3YU0j9kyIVlQXtOdwQXog2LXKSsZeQrBWOqX3snSdj1mqOlZ6ZmmgqOrz/wkcq2+//74viHEcccGfebSt4a+I9OokTfdsN8+6EWCT8uHTlihZzh0mWFMard3KFrlan9QxKB3o2l65fU67p21VAxaxb29XX+eCR+bKw8cP/PmHP/L2T39iPh1wFW6u73l6eiL4gf1+z/X1Lb/61a/49a+/Zbfb8cc//YHr62vu72+5u7/hw4cP/OEP/94XqI6faoQFHFtO6rIsBO81as2FeVbyrIp6ridkrup4dQ8eTIR18yON/rcSBHvUUiK5aF+rreMjIqS0sCyqv1WbDk9rD4JXxwpHwZFK0blPrdegVjkty9JlKNZKptJTgG0sxrA7i1A17WT32Em064x1HsYmjdeVnet2fVnloX0/FwK73a5r7PwcUtWuadyx2+2Zpp16pc6TSuTx+cC79x949/GB02nBOc8cIy6oDEVJWnKdCkycqw633zFGlmXm6mpvS1d5Bs6rovzj03t4+2cCmbv7e5ARLRIpGvnnlsrb/m6obf7ku5xZ361jVSrEhRKPxHQilwFK1MfnzNPTI+/fveWf//VfmE8vfPX1F+x2kxr5nJVfaagahi6dfeb2cy+HuPxlA9ihun7a2hs0Un6p+l1TosSZHBOnwzPz8cBpPnA8HXSNJQ0cmoTW1g5dpgQ/51iJc309i+ie3Y8Tow/ra3vBiFC8pUm6kGkmNekLZ2kdABd48/qWL9+84u7mmufHp36/KlLqekpmDAPaoFlIc2Ha7fnyy6/49be/4fvvv+d3v/sd33/3LU4CKWU97IoGValUcJ6MOmM4RZSXVCgkhgCvv/qK427H08e3HJ8LuSaTgKiKnKGp2xAcg+kTHUolOadodK0MtVIHjxittvd9FQi1jU+g+POg9/zfK3LY5koP+LViUvBn50YjTDeHSlNh+vqhtA4f0qVcnEnHTMPA4AODa83hrSISWYtCROUPxAkhqLTK9r7bfQZxZAMMpNi44WgVl6tTpamqWmuvjmz27HItfi7bs9k83RHZnq1N6Lo5lrTvwtbmySfJHHGOiicXrSDtqFHVfdgqyFPKuJbWyxoshl5NXyjOBFrdyLS7wfmWBpdP9ptYFa8Gs4XWtVE19hK1FisOKT1gbn0y23lGMcspOh69eOkvXL8Mx+q33/V/bx2gLTcBkc4vWKFdf/Y+q7P0eSSpv1+LKjcGuvZs9Seh6+bq4bg6dXJu09f31GqNHvW23i2ar1DPN2aIC+n4wsvDB979+Gc+vn/H6fiCF5h2E+JVSmGa9rx58xXffPMN3333G7789luePr4nBMe3337Nt7/6mtvbW7x3/Pu//1uv8hPZyB+IcV7sOsXIWCrVhPfEzywW0UjRg6agCE6yhZSdErazo6NX51G3Vk1ps1MlrifjVK1OzblMQkqJw+HEMiftx5UKKRam/RVzVAJhFViKdnj3WVN6rdLvdDqpYxWVDNm6n7coRkQIIfDmfgK2HAETsyyZmM0fFgWVNSXS1tgGBq+1Z5aKibSConkxRkqtXE0Tw25iGIKWaecWBUHT7tqW+Tc+xdrfz/FynHn78SM//vSOjw9PHE8Lfn+F96vYqwsjYmhalcYNW+8zW3ugeVZhPx/UyOSyEOeZYRh4fnxPYmKQSnCVKe3x40CWiieTcuoGsBvtJrtQzRB9Zrs0fkRDP6mVeDxxenlSwukQtF1V8Byenjg8fmA5PPHw7kdcyTz8/m95fXuLC564LNqSJflz21DXQ6Hv9YuKNx3P+OkNXjzn8t+1VtN3s/2xnIjzoj0348zjxwfiMhNPM/Pp0Pl6pRRqmi/eS/reaNyY7Z5ZHeF8diBsiepjcEj1iBWuFNH16VvzPVthPpsjZ8N+e7MjF0eVkTev77m/veLdIJxyMWX4cR2nXGzeC9Puil9/9TV/85vv+Id/+G98993vePPmDa9uX7Gb4OnpmZKxamuvKacCVRw5aWRf0eoxRIhVq8qu7l53EeJSCnU+mT0QqmScietuD/2YFdGvNbI9rprkTGvMrRpfTbtQGOpW94izf4s7R6V6aX5p/x0+OYd0XmonSqtPpM6DmP1wWMutqqhU8MLgB0ZvLbXMsWoFGS0FqkGnqPDpEHpQpve8rs/m2DW6QO3c1vZ+nqZsvn2tc47dMHYHI8aoosNh7E5lS+mue2EN0NbPUJ5y05nT8VvRNJFMEdHiplq1swLrPTjnO/lbswfnlb5YylOqVrNSNfVYK2gnNOt/maqhXyqC7AePC1VrEC4DFvsuzhvY0Pa7q4jJOjhpQARU1syKIlSBinUnyNXQq/8sqcC9VXB8xhlScrB69pLLWU750qivA9kcm8+jBF1IEl3ole1zmqH6jGO2yS/YEbwuxp5TbIhK+wRY0wqq08WyUA6PnF5e+PHf/oUP7/7M+3c/QUnsdhMOlZn46d0Hrq/3vH79mu+++47f/va33N5eQyn88MMP3NxccX9/j/eew+GlN1vuFQ6mLh5zSwOeE8Xb71gyIUaWxkvYlK9Xm4NYMq5opaAUSA7IamiygQY1Y6q9jUpqh4MmFWlOVfABCZ7dODL7I7VmUl44nexnjuyWaDIBqtx8fX2tauYlU2qyhtQzh8OBw0F1vtIym4PS+gZW4y/t8EPAm7ZUh8ezVnpdHnIZ8LUdUqXzrhRm3mxc1gMwJm36Ol0paR3v+voshhalqqmevNmUql01IsGTauEUIw+PT/z5p7f89P4Djy/PxJTZDdrmSe9BG9t6vDnMzvh3VoadFrw0p/XA9DxAybigacjHp/cMU+BwiBxmQciUfOL69pb9lTZ69kMgmgp0O6y22kay+Q69Qq+u6c6aS2/4K6lo94CHj4gXZqlMxk95//Yn5ucnAhWJkY9v/8yHP/+Rr+5vGHdXHA4H0jSxlPUA6YfqBq2qtfa/r+jjKtPwH7166pilG+k0L8Rl1kqmmDg8P5KjHlA1Luu9lMoZT4tz+1NKq3racgx1PFtfsx7xl8ala+Rp11FJ5c6IEp/NmUhWep9rE9BUVex5iYzjxN3NNXe31+x3k7ZgEZiGod/jOOy4vr7l5uqWb775hv/+P/0v/O5vfsd33/2Ou7tXirOIUPOB+RQZhknbYDlNb+GNLO69tcCyggSEnBOLE/YMhN01V3eKCCzPT9R0osSTatVRtGfdJkBYmxQPJLcGjL6sZPVMm3vXBXf9Bi65zE54s0ONQL2moc6dd8AYRXTEqqNVLWB1SqJvz/fida+JY/SO0QdzpJSkbvGbonomHKwOhQaArTLT+wFxoTsWTg8ro6a17sqakVkdq8aV2nD4qL2rg0oTJFJamCZtH6eORXMkW8uvFZj+3Pm5ZnaMNdb5ciqT4Pxgh8GwCah1nVT7jFyF7n6InrdtX4gFb+1QEWnFNfa5NWmKDnCEDeKsf/O+2Yf1/sMGg2l7rAVDrqFyNm7LctRMi2lvKXc5IjV3weGVDvT56xfhWGHVS7U2qiwdltMKqabJcZm+2xjNCy+rTYxcwkoi/aBc3+fshfqrbD6zfW6Z7Ulufc32rWpttdmagmjpEi9QIqfnJ+aXFz6+f8e7P//A4/t3/PjHf2d+eSbUpotzUsPn4etvf8/f/v53fPHFF1xf73n38Jb/8//+P/jDH/4NKPzu++/46cOPvH//nqenJx4fP/L4/Kjkx2EgI8RkvI1S8W6FmFX1d0CqUEpkSZnDaaY4TbY7dIHXouJ92t+uUqse7iEEkhFeXSprexI7hEGRq1SUi6MO1Sr8KSLMY+D+/p5pf02MmWVOzDGSIjw+H0gp8+7dOx6fnzoZfHSNIFk7YhWXE6ARVAEGI0kOg+fq6oqbmxtub6/t3vR7TWGgViVMLscThdy7pNdaibX2iLZsUqvahLeVYev6iCmRamH0gWm3I+ymjk4VMOLxotFiURSpXXev7rm6uUb8wMPLMx9j5X/8v//M//X//A/++Kc/s0TlUo3DDj+I3mtNeDcyDb4fEgRPEEfKUYsjKDw8PBCCZ3oO5LgwToZ45EgIelA/PZ6Ix0cOH3/i6vZGx+v23lCR0uqVdey8Q0wdWTiXEmiHXOM4iKjStxfHfDxxOhyYZ3V8x/yKjy8PxBh5fHoiLYlf3d3w8vWXnJaZpx/+yLvdyDAqMf9QK3nbumKzA/3GXjR4fnuofs6x2qaAfu6x1jS9WOFHE9gsKbIcj7a/VVupOZAAuaQemDTj3daL8yrh0Cpw1UlVB6JSewubnrbhnKO1pUe09yk5Keop2nGiNQ8uVXWiig/spomvv3jDt19+xds//cQoAfwV+/01r1+/5uuvvuX7777n7//+H/nuu9/y1Ze/4vnpSAiBOCcePxx6D8t5KcRoB6lT7mdxSnCvOPygyHLMql+lKTHPkhc+vmhniN3VG/Y3r0mnA8vLMx/+9K+k5cjkhTEI1ExaFmrSQovRB6JEloym1QYNEMLgLA1fjDawohRNqH9Fx1endQqD9cpzhMGC0ArCinJtq8U6QtTTYq3y2+wQxYpGhOBHdcJK3aSFjVflnDlR1lQ7q2q5n4KKcoaJm5svuHv1BnGDhePqkBSBmjMNMRIfcK0SuqrqfU5xDXxkveeUKtMwgvUKXAnloWcNBps3vbdEpVWNFw3oRFHDHrg0PSxU/0vbZ1VKCWBBSQibgLQ2TuzKXdyihs0xc5sOAJWKC7YnrX2ZlIoETN5HzugtNe836NkGWKnnBQKXz5lC3dxLJcaZJZ5IKbLML1oYkmdymVniS5dR+UvXL8KxKqfDatDEej+1iM5g/08u0b5R7WpQ4vrwVlH3HPJ3/PzA9Pu44APpY6U/55LIrb2pFK3qEVdrkSCq2/Hx3VuOL088vHvLj3/6Ix/evuX0/MQ4eGKOnA5HSors9jv2+4lXb15xd3fDspz48PEtLy9PPD8/U2vm6nrHx48frCnzQt00Hd2WQm9Vqbf3m6nW0NcMjkC0cm4rhDZET4Vaz8ZoM07tvSjqf1bJa5pQwxmcNaxtB0PbZPv9nhAyftCKvjQVTQdmhXgPxp2qFZbTzOl0QqwVy9pQuaoz44X9XoXpBm+6VF66jMGny0fOfpdS1JniHP7HsDY2xqEfmEWdplNcjF+lUL6uW+31lsp6KDfO0xqFKySeU6VY4cHHJy2vfzmcOM5K7HdeEYDgHMk5KMYutNZBCnFXiqyGLItyrOKiKSzvhWFcx59q6eyaicuJ+RTwQaU8gwPxw9os2m2QgCFQcAT36f7InIudFuOZ5BiVE5YTIhCPB2oIxGWhzicGp0rk3//Nb4gxsr++0iYeyxHnBnVs3fmerWJJ9/b5mgewyXV9HLY8j57SuVi/W/S2r+lNdZRkbRQtWYMfr+BUL3a00FjH3ZUOULe30wrWdVxc8Ih1PGiVshK0p6Ny+dp9GFoRRi1AaQUDliappRDCCGD6RZrmGoYBweOHAQ4Rh+N6f8P93Wuur284nSKvX3/NP/3T/8a33/yaL774ki++eMPd7Sumac/hcCItmZqV2+QkELwSqrstlXP0e/1pSEZLS62txmywyOLwMuBGGKpjd3PH8iykPHNKBdcI5cNIdVrVK+IZvdYwuGwyGrGQpaF4RUngF5eIHsK+8Sg1PsCJOj7O+KfKK212fuNUFWc0kfb/2Qgj1QxhYTCOjohpJ1VHkdTfT0SdXFAtMFB7M4wTc9Qig8Ke/XhFGCdN3xrHp4kdqzCtrOk168OpGfkLlM3YB25DegF65uDsubL2zr2AGGjiojXZ/hBv9l0/U89BZ20sG4ghVvxQ8XK+t1rB0To35/fduG34jSr6huPV7mn7382x8ghxy782RO08JXj+WX39mqJ8Q/89A4EJqQvhas8SD8S4kNOJkh2pLNS/goT/Ihyr+PJwNgDN8F3CkO5i4s8cq4uOmuvBuPKt+qD+hfxom/jPOlZNN2NjdJsT2KIDVcO2BWHci6VG5tOJ9z/8kYf3H/j47h0f3r/l8PRM8Lrpjocjx+NRWyBcX3F7fcPNzRXDGHh4eODt2x95eXnCedjtR0Tg48f33XlqzpQStlcOUk8xACmfHyYi3sqaNTpeTJNHS6Y1cnBC7zreYXdrJ3GWkgETRlUHtM2N8x5BxT3VyK4QLN4j3jOgTWGDrwxDE3mDEBynU1CnJGdKjhyPR4PxFZUax5FpVF7CbjcxeDFUTHprBn/RRqjf69mBYI9znvJqGlyNBK3SEMWIljCnqFIOThh2GtW3CsmclaeU0tKJyTFGM8R6jaZ7lIsWELz7+IHHx0cOh0PnbTWIuklDRFHpjFLsfCvVdHBbGly/Z0P09vtJVdYTuIHudOt3FGJcOBxe8F6bhAfnGXdFUQMRrbxyqhumkhv0qpm+1zZGtPGfUlWDl1MiZXWsCrCcTsg0mcOV2F9fMXjhi1d3apC9J2UrPPCK/MlYz5HmhiSLfCJn0Vt0sKamtxHr5xypszVQK7l1Mq/WUiZnSoqUnM+jZPveagfQthz9vVfygDedMVVy9xrYFC1wEQEXDE12+ezwWdEwpUC0YLNWnXNnCERrf1OlKZqr2OM4ekpRTbNp2PPrb7/jzeuv+f73/43/9Z/+d66vb7Wx8qCyLsfDiWXJlOxMQqIyTcqPqZU+/200G7LQ7WFtjoQgBHxDB2qklmqtibQgybsJPwaubt9AdcTDI8tywFcY/EgYPDBTo3mwVpmXUDRR6Q4FqV5Zr/V8jvXgZ21tY/tDMSDR1K3NZXAty7FZOxULXMyRwBoaW8ClZwNmX4yfJfb45gB3zuFD6MLStdbewiflTJVAGPZM+xv8sFNurXa4p4h22kCArMGLpxGvt2ekzlEp5vidrXe67a6iVI/+U3UuqtM9XlHqQvtp6GvfQ1VbsOn72rlYhOLp4+/E25jnHl2I3UhzFC/V0RvXS+11OAtg9fFNYGTz+ImDmP25TdrY9jXN+SmHu9TFUHln1agDtUaEAUXsRpycyH7SLgNy/M9BXj89fbzwLO0qF/9tVx8QWaPYzyFW7e89kG3v9VeIZ+dGep2oUpQ43buktzdu9yma/hNXcbYoUl54sZY0Dz/+mfdvf+Thw0dyTOxGzcHHWQ/AaZq4f3XL3at79qVUX68AACAASURBVPs9zgtPTw88PX3gdDqQ8mKloc60jVJHgY7Ho7ZLmSONotfz285Rltq1nAB1jyxijsatWpZIKsaRQRG4WivFKXGwoM10c17HObA6vB3yFVZ1+s+MabEGvClGVMNUzG9pJHu42k+Mg2ca13LaJQaCbbAQAuOknIRpUG2U4DaG7Ky3nVBqsojKaQpHLNWTMqmmfiBkoGahlPO+eNRPSce1Kjcmlcw0TOz3e/bXV70ysTm6mppJXWbhskddMse4CYIeT6f+3O7klUxwO21GXKyXXs0mnLk2MffeU0OiFOWQLfO20bXqlZWaiKfZ1k44a50TQiDGhWEIVgUJtaW7JPciu2pGd91TbBAjsVYfWslXSrHqHnT9FKEStKrKiRFZNZ2jfBdFA3SO1IncHppgaBF23lyQVdPGuaSsKcvLqxnHS6cKIKcVVWyoUhPhbAfVVs6jdKGFLerV7ksVv/WJWjbexCGdD4yjZ2m6aj5Aymf2pxblljZB4B4g+kKNC1TH0PTZOkbhmU/KZaoI47Dnb37zPb/+1e+4urri7//+v/P993/L4eXE8+HIPEdygtMxGSFYic6lCq1fXUxF+YFWwXZ5tb+oL6s2xOMRpKc7IZOKBnoi2lVjvL4H4OQc80EgzSqF4ByOrDpWYr0UTblb28+47sSIP3es2tj3Od2gH23uvYg22/YCBFp6T52AVStqRarb+mjrXOelIURCsZYxZqNMjqJ1MegirFW5cTEJhWCdGu7wYUfKwohHnFemcBFSa5XT1po5XHrerXZW9e/Oq/iKlu/ZObA6KecpOPlkf1yef32ORdDguCKtJRiK7BVXEedxRk8oeeWere9jyF3POGzOkkYTwVM3PDGgV2Ce30f3X+054ZMA6hKcaXy2LWJFyTpG4uynSWsIMc6U7KmMGjyHK7Tn538Cxyodnz7rWJWL//7EOG6VV4E2adv3uXS4QDfAz13r4f8pYlVMgGz78jbfOWecQCkJb0S7lvp5fnzk5eWFH//wrxyenlnmWSHoYSDFE0/Pz+x2O1598Zq7uzv2N9fs93tqKTw+fuTjw/veYymEQEy6AHf7UYnrL5oyU+kCq8gRzelX688W8zm3p6Uh5hg5LTNUx9EkF6bB9+7uoE6iRmvqeLQ1qYcYSG4pJrVzRcC5JrugB2WtxbrZr3PUelPpe2laqzlC+72HPBCHcJZKu7rerehN8EzD2DepFxU77FozaPTunNO1BIo8bByrHK05bXte0f5nQCe2bgbtbG1F63UlIoRpZLfbqSo1FXLWpssxEi0dGHPqBNV2pZRU76ckXp6PHE1lvb2vMzHU4BxeKoOpstdaunp2MxTeUobSNK2axIUVL7QSaRWDBY8jS+nOcoyR4D2z95a6kW6IGt8qmbFsjivuMjo2wrGR/AXpDXV1TQrZyP7LslCkkMmUXHpUCWZ4xVJjTrqj2dZdfz+RrhWmN0CXTFEkqa2vT1Gr1jOyr8ctgsWqP5aq8nhSVcdCEVdzrsHuu/Gk1nSdOgJ2OJeK+EGricSb4rZqBTkxZEucVpKKFVY0nS2hi0M2xKp9qUmueoFIqgWseCX4gePpBe8Cr15/yZdvvuH66pZx3LHbXXF7+4acK95XnCRiiqRYcG7AOa/oZKY7NC1IaPNwHvmv/MqGBqndXVOlXoKBMKM5gOp0DzIw7m665MMwDCzHR8oyc8qJXa3a0kxUp6smTdeHEJAstA6EzlCJhu45f95vUcdOa/urV4SxNASlVKsobU6JVhZDew3UXMzBXW1Ar/Qzw+ecIrS6jEOv+G02b3X2HDhhSZpydn7EhQnnRwqelIXJB03vl6zIpn0P78VoF9rXsBXCnjlJHbGy36KvuXQy2nO2ztV54Kj2v14ENVS1G9LI3y0VWDXd26oqt7ZB39+fccDO5ZIsu+E0TdwqnD8HcvTbELVn/ftUf/745xwrmi1Y/+43+6lYJiJXbeeVcyVlqMUhEnBhx9DXx89fvwjHKqfjZx2rHnH0730ZJTVj+6m8QjvUt+/T36N8OtiXn/l5x0o1ZtzGUesLuySFlXO03lWZxarW5qcnPvz0E8/v3mnlmB0Y8WgNdoEvv/ySm7tbpPdDVKfj+fjI4/MjTy+P1Jq5Dtf4YWSaRoYwabpnmTkts5Z0B09OxZwbHZcYtQN941u176cHv5LGa62cTidmIzlP3iPy6cFTK6RaGIzcC5CSIQ2sbQEa0tIKDJqCcCtTvpyXdX6t3xYOgsMJjMMq7HnaIBCDDyv5tLWzsQ3ZUMR2H/3eLua6a1TJBtWxQ61VWPbvcrHBW+VhCIFxHLVNCy2VZM1HUyKVxMm4TiFoqrdds/39ECNPL889XZgsInLOrfwQjL3ipde9etF2Gd54ZSBWlVXJsyJMyxwZR21p1I1ebeOiZdoNMXOGBp5OJ8Iw6Kc4UWfFCdUYuV0Lzp0bZaCPXzfum7F2kweBU9Zm1CEEFafNGT/o+6S0Fn7knFXXJxfKxg60Um8aB247s+2AsPHqY7flBVE1/9NeohPX/9u7tua1fNznjC9Dl/Cohd7kd4sasGl+rnvYxsscreN8Uk0mIKdCjsovPOWNRlVZ08+6fzVtm+One3jPQEqJ49IatVf2+z1X17fsdte8fvUFv/3+H7i/e8Nud0XwI+M48XJYeP/+HadZxXWXWRGZ4AdSrAxDkx1QjaWUCjFmrRQ1sKShHkGEIOpUuNooAhiqYePtqrpcVrJfCqRaqUV7aw5DIHjBB/05PT8STwdyygQJ+OBJ7QAXlSM4LTNDtXrj7pTrODs5R5gFvR+E8+O8rIhUm7da11ZbakpKd17X9bd+f+UVbmyFX1H16qQXguTGPzSgKZVKStqRQ9zItL9ld32P211ZoYNqL9F0pUUDxdpQammyCx6ccj7POaLr2q6sdulc53BTCYmnZSnamDR7vgUt1h0k9vjGoalWDS0rj2mVtQg9CC6b9d6cTSWVtyrHc9dk/VxDmT/jE3yanmuO4+VZc/E8Q4Jbal7bumnWoYrqm1lCZf33X7l+EY5VzfPqXW4GKnPhcV44Vk4+75FunvHZxz3ymee2m7H37KtybYsgJKia1ZD+9GqoVcWJV4KbqTC//P/UvUmTJFeWpffdN6iamQ/hHgMCCCCHzsyqLGmWlBRZrG42F5T+EeSCv5BLbrgkRbjkpoWU6iqSzWRVAkgkgECMPpiZqr6Ji/ueqppHIItLlEIC7m5ubqam+oZ7zz33nP2dmqm+vdNW8xzwrlOSakykKrK322xUh6rvtIxXhJSVKnlz847D4R6Rwu5sy+XlOWdnW0opTNPIfn/gcDjMGk7OOWLVdGqTI4SgfoWr66fEZDNnoW3RH8eR3bbXDrA28GVBAVh97uV7DZ9UOT3NqIWt/KqWfayzPViG92zZU1QfqYhFapefVF6FqyVPpqEiJubEe8oUSHGiFKPZZd34bYXqm0h1Q67mEVJfp6QPM9x2XbxXPz3DsqnPAZgReq9olXPuRGaijYNc8oy4uc5/gFiN48h95VR9OBzrIhcT+LoY1qzUzAs8q0BWH08pEUuZX997T9zFKj5YxSjHiD/bIpLmz59zrho3js51S5BvNMvG1YW4ckyaDMMHRw2snJhK4q8bnTX4rqt2LIXd2UU1Ak5sxHN+oQr04xhmBNF7P3sFtrlo2vnQSriroNcsZtrtzNYIyzxvH5z3en54u2TLqW7WOSkX0Tk1DI85f5C8uRDneVfaJlHJ6u9u3nN/OPL9D6/nzrkmbvt+PypaWkvHpZT5njREdS14W9+UMqiMyW63w1rLdrvFug0X1vPF57/g009f8PjJZ+RsmMbIRCGEzHGI7A/qHRgDak2CVTPkmLCWuhHqZxljUK/PsgpAzOnmeVJ6y2Um97dNPuaEFZVjmDlmRrRjWcC4nm57rsiPtarVdjsgdZPu6OrcqoFyDPWeLuR0BcoKcUbM6znlTCmWQjw5T5WDqGiVKF9Lx0Gq61IL0tdBVbW1aZ+9NfrUdQlZrXENHS+NSsGCfJsev+no+wv6fot1Hcb2lcuoSbsCZoLajKnEj5MOKhe0YEjWIGmNDH24v4k5RR2bDpVdBVbrNWcdlC7BiSylRqMNMjIn0is3k1xRMpbrMCOarQRZ8oP5uMyjUufymuu6BIO1hMgSXLWjTWc953z6mVjvV6eB2izXgdR7Y2gkeWstcaZc2DkQ/ReBWI0EUl5KNC2jbovfcoPNyY1ad7y1oz23CUWun788SWjYRcpFDXxZSh7FLJ2Jc+0cQbKsCIgqggia+MaoNhF39xPjcc8wHLm7v2G/37N/85oQEqkItzcHQohqZXL1lL73bDYbzi53bDYd4rSuOwzvOR4Kr16+5vr6muvra/p+M282Y5gYj5GUhHEMjGPQttAYuQtwDInbw8D+oBlyQqrCrB7HSRjIaj1hNFA7DpFX797RbTc4Z+gdeFeVlGMVSQPVHLJ1kFlHYDHrVCVbw5QCOYxsNso5kmT1+smKuCh2bqElR4XTq/WDMxYrFusW+BgpmA1zQFVv4IyQ5ClVgEUndpYanFPIYSEOtynVSlPOaeknVv2nzjkMhXHM3B6V29Z3W3ZVUb2UwjTqAnV2dsHF5SW7i3M610PWbCwZS6qf1YZEGQPxcODps+cnysqHlHg/jNzvBwqezhs6f4azPcYkjHiMcYxTxLpE33Uq5kjCWU/XOazxs8ioiJBD1DJH1zPFwM3hgOl7diHjbHWLLwnywPNdT7E1cLIW3/VsLx/jfI/rNFh0vqn2Z7q+ljesO7kPGmwtC2AL6CzC/f09wzhhug6KEKeCcx0J2PY7Xr38muMwst1O9N1OleudInAhqFigcQvK1w5pIXKBOWcuUFKp9hqKKs3m12W1DuQFrWxI5nqh98bPv0+zyGjdbES/zxmO41D9zHRM39VMO4aR8XDAOzPflx9++IGvvvqK/+Pv/0/6zQbjOw77gbv9PT+8fMfhoFZU3qtchxSVKlCOYeFidzFvLOfn5zy+uubp9RkvXrzg3/6bf8eTJ8948uQZ52eXeLdBS2PC7U2u41UNbUW0CSRER0qelDXoCbmQRkURc4h4q/c9xJE4THVji2y9r2U8RZSbn1vJQXmgbke3cYSgPqHOWkoO9TrkiroaSi3djLEQsuDNBtddIV2mO4vYlBhf/kf2hxtSHOmMqrJLDqQ41LXJzcmLds9VVKz5uTUUsCZYOS2oupRMLIGUlW+4zReYispKlRIopZBEEK/3sNE8DCBGx1QwjiZdkAFS1OcYlWDIFgRHioYpGWLxpOJImwseXT/j4vKaYcz8/T99yXev/gPGen7xq5/z5Ok1jx5d4CzkomvcNE0kq0m0NQbJrnq6CkwVVTNKUs813YgSSQZMipQoTMOBweu+s9uekxIgllyEkDIhwhghpkykImRiEZsoxZDChJiC9w6cx3ijPriVg9t1iiiavFApSkUvDVoWb5zAUpQS0rAlDZjUz48iCx1a7IJ+zuBH5QO3QHmWgKG+0mmXyYK8LQCABlGRVBoXu2h8UEuBWSzUEm1KgWx2PNSq+9jxkwisrOmheivNC59AQ5ykBcCsFr+imWB7bJ2FnKIp61py2wCk8oYE56z2iYjMCtancHwVKCswjoqW9H6j51Ofl6K+b4iR4XBgGI4Mw1HLOuOEMR3WRlJMiKh+iDWamWx6RaA2/Y5UEuE4st/fcTgcuLtVpGG3O6PvN7PXXYFZVXscx4pIRa0Hx0jOUpXMlauTat24ZRvtOqUUmUIgxTSXhTRAC+TcqZOHAW+adslKq2q+F9AilVKS+pypPsGc+cyQ+QPEIKWogZWog1aDutclvPa3pZYNSoXCG+orNatMOWNXJcNYVFsms3C9tHusSQisODop6RhzqpAsTrsim7XSoit0ejS0a3GjX/gUymeyiMQZeW3kzDV5vaEQzRKnHbM3WMtuazbcrk1+kJW2DHN9naWyz1ugM00DXUUiQ70Ht/dWtXesbnpTAPP6rQpA+q5eJ723KSWs088hFdZf31vnHCWrGGjrSqWN1eOAMQbfm3luHY9H3ry94fXr17O0w+39HmMMw3GapSs0mP3QZeH0/p0mV+2YavksxjgnQvO4LMzn0jpIlxdREWC9rhktC1ADE533IScOh+EE6bwvmtClEInTQOfdnOS9ffueu/v7ek0KqXV21nutgUfrojPkVMBkttszTIEnT55yeXnF48eP+eLFz9SJ4cVjHl8/5fPPf4b3Pc52iBhyyhwOB0o2hFCIodlwrBNNU5Hdhu4qFy6lpMRuI2TDbDelc/kUqfzYJqP8NDP/NKO8s1F7O4f1+q5zNMaIrXQB7z1stoQwMibtLJWafFnrySaqjpgxzGKZNcQuOc/SMSKyJGKgkgVSKhJUOUllmWu6aTy8Vh/5nKXxuTQv0eS7nKwTxjjttEO5cyIWKRZrPY8eP6Hvevb7PV/98SX/z+9+zzff/0CIma+++ZJPnj/l5z9/waeffMKji0s2nXrCjjFRYlFv1+qlKcZgncpjfDBP6lXJtHU3zf9ARYpDbON8+bvlhzxzDj92Ddaolq5TNQg9kUNaz69TLte6jK/joc5TxQFP9vflXiwVpflUP7CBWH5ePs9yng9jhjzTSU4pH+tz1b/5eFPd+vhJBFbjkOvEhVIhwhaRtuP0pjYC3CJZfwJDw8lEOj0KcTzqdzNSpQ7xgiHW4KOkTC4LiqbZrkKx47BXEmRROFtywneWMA7c3twzhQPTOHCoEgppTLX0kkmpTi7jq+WDI2XD/UERp/3hjtv7W47HPcf9eKIMrPYwkGp3UgiBGBYOky50lpzjrMLeiLYpMot1tusUqno0uXaUpMLd/p7hOBLPdnjL7Auoi2Pr5lk4BtZahatzZOGiL/X/xlOSKh1cWrs1EGKuWaBqT3EykOtCuSI85pzpvK2IS0MUWxdPFTQtjSdVZvmHlqGkVRnD1JZfNVJuavnKlchJUbPiWDSB7IeQeQuSmiBrKxmuAw0tASqPhqLv51aIVa7LRyll7tKMK57D2oao3Wes1Y6o1XhvpeCHQaxUxFd9GSeiV4mKlCIpRW5vCt12R9dttHMxTRyDwXa9km3FzCXNkANiqhBrzdCdLKWgVuKcpgkpVA2yUt9Px8F25+by9PF45DAV9vsjpSIfsdzp2Aihtterf2jJ9oPrsF74Hi507bpsdlvtojJCqll/oejnMpV4bZndHdq81mSqKCphajdaJRHnkplKZEqZMRVyUsXznDOBPDdFlKSiiqaKLTrrubi4pEhHqaKP1o7kAs51uv6lujk5wW89225L32+5uLjgL//yr/j0k8/49NNP+eSTT7i8vOT6Ykff9xjjiCEzTYEUiyLkSaUiYlyCo9O1cvnX1tG21uSsrfglr3Tbqm8bprXGt2u99gFdEqr1fTGW6tCgTSqKIGQa5wpa+TZRjMqpWOuw549U9JRCGPbEEtWCyW2QrhDNpDpnTQKn7h1N5qHNd4pUCogQi64N2tWpqJzy/hdrEy2znY6nZV4pAtO2fmt0MzalzWYAU4NzDRZjqb6nRRNYazo2/Y4pRr57+Zrf/e4f+U+/+z2v3rzhOEx88/Ibzi82/OM/PuVnP/+CLz57waeffMq/+sWvOOs3jOPIdDxAKWxdR9dZ7odcfVtVbwu0ZCe5dnEaAzVAbl3AMU1sXD8nTqEmIu1fa0BZAou0XIP5PhtKbgHmsla2tWHWvJIlSPpTcgXrcfMwmFsHOOv7+7E1YB1YPXyt9eu07t5cCf5m5owV1tqV2t2dWedfP3b8JAKrt6/3H4kK27HS/jip+364oK6/X0sLrDPKUgre6iaXKwGPusgJdg6s1ExTv28dY+L1tabjUCevqWr+md5ZxuHAcLgnJ+0GHA5HxmHAlp2WCsj0naXvt5ztLtjsdljfM4yB43gHBkKEnCwpGiWa+g7BaieXLEHHgk7lGeZsfIwQQs1ElZ+0cH04uSZt4jQn+FQy+/sjh6FxtDTbShmMc+rlVeFDYwzGCcaptUoxHkeaW+aXiaGLeibXuEk5VyJqwyGpoH5jtmrKFCW1pmrOXATv9fo758AtEhHNkqZ9Fh0jNZhkQZhEhFQDdx1SNVunEFMiVn+3UlKVYij4Wupytpvf23uPWEup172V35otjfULYuWcEr+LTIQpMoxjdYo/neApV8mGkhFrOIz7BTUsBdc+97yYLIrwiqicLkCKJpTZfFQbWBZ+RS5J2/azcnaGkHE9NZuu72O1+8W6SoYvhVwSfSmUaitSzKnJtDEGt1FrKr/RjakF99vtFqCW9u6QnCk20huP3ew48z2NY9EUoJEFylfu2OlS9WPzvo3tdk2mVHl3IhRj5urAbCQ+c551I82ttX3uMFPxx1QSuXZQTiExTYnjlBimMpeXmsZTjEGlRHJUWYA6PjebDYLBd2q2qzDHkSkUcgCLp9/1bLdnPDq/4Pr6CY8ePeL588949uQpf/mXf8XlxSPOzs5mBW2DKngP+0Pt4lM5llzqZ5JStdBEqxw1qGik7YYIiFReUzHEygPKedm0msFtKqfI6HodafzCtllpwGRh9ThVCW8BHPSvGoKoyHLjPWU2m3N2YjDGMbiOON4jKPLvunLCj1ySz1QD1ZVaf9GGD1PvvRpYl3l9awGQMVreLKXUObEql7AEoMtRsE1vQZ+hyv9zR5whJmHKRcefeIz0uG7LmCKvX7/ly6+/4Y/ffsu7m/cch4kxBtI+cHP7hh9efcc3f/wDnz77hBcvXpBz5sWLL3S+9Z0iZDkxjLEGkBroaiWt8oREu92c7eZxOoYwVzs2PTUZ18emqYoZJ02MLFKD58pPk2UdO9mvi5k/s44rTtaIGblcyZR8fC63jsz50ZP5vfztSQHxI8/5cYStXYecdW63fbV9vocI+Om/D172g+MnEVj98ZtX8/c5f+wCwYddCZxwrB6WmtY8loevd0jH5TXFVj0eQzNsbdCxEauIQbUPwGi3iXFKdnNWb2hOgf1+Twyj1o4FwqTBlymGjKVg6bees7MLHl1esTs/mxGNu7s7csmcn52xlYIYT8pCDoG+97iux/f9bM4Z48R+v8e5TktIFIZx4n5/4P7+nsOg18A5R0wFqWq9axSvXTtrF8PRUoT746DB1Tix6X1Vz62Ly4oc3SaJZq6lRvHdCQFbkaNMyO0xmbkI1nhKrHYeKan4nWQlu+bCVA03uxq4uEqotjjSlBkHFebMKZwE3UBd4LWLLC8r+PycZkydUfuCEMeaIStgbo2B2i/Xd8pr66oNBmiHV8i1pNvOz/k5qJo3ZtHJGrNqH1mrmjVxNcTvDnvuj0cVCjSGmxtV1z8OAzkvfDLNIAPkbrlfeYH1dbZX5G3O5ErNXnXxjakp8WdFH6XxCQCxGNvRecP27BGu7zHWq0hgWyCBRuoMlUvUNjSLYHxVAY9R0SZvEZMIRZE053sMA6UiKeI6pixstioMGqbIfpgAo2XdWcXd0DTkPpZ8Pfx+LuPD3F3ZznV9pGkZq3Mi0Ej8J8jO4k/ZNiWVUlGJk7XWkTN5Ls0bVHtoOZ9bME61oayDIhzHgcPhwNlGJVZ+/es/4+nTpzx9+gnPnjzl0aNrvvjiC3bbM/p+q113Rs2Ow5QqkT4TQ+WkiqK2OVOR5MYpeiDIaIwWzSoyrJunzEFyjMv1nqNRsUsA2YKTUhX+U+Ngtc0pkVDBzMZlFlOqxEpWI2SWdacUpWY7o7hSioUYAt2up992ONvjuw3joSOOB9ReTMe9NRmbC+rGVWUqUORJAwyzfOY5kjZ1XLVk3cyfR4Uz2wZbW/hYNlUR5s1X0fLIbCBcy31aKvVgOhooJ26DcVus3eG7c97c7fn25Q988+23vL25ZZoCQ5i0k1gKUzhgRl2j7u5u+P77bwnjxC9/9Su++OILfv7Fz9jttoTjkSmMeG8IU10HS135ND7Ue2lU06yUZd5qg87i1HE8HueEqHXkKsBQXUVES2aK8rc9ZUHJqegVohyvdVODPsd8iPh8UML7cE7/WKl//f3D+f0xralmIL1UczKZXMegPj+XyENpiFMiSENZf/z4SQRW1u9WCMcpbDj/Y21jUuHl1R36GI+nPXddnhEROl95EgLGKjkYa05KPtY1gTet9VsxmI2WPsKoQRM5Eib1QXvz6iU5jXgpDMc7cpwYzZHiEjF3eGe4vnrK8+cK5W932v30/fffI9ax3XY8fnIFZF69eoVgOdzd8ujRI64eX7HdbtlsNhiraNzrN28YwwT3wv39gZQKwzBxOAzcH7QLa63fZZzHrFpY24Bs5D+lPRr2hyPvbm65vr3kfLvBb1zVX4G2QmhwopiQSFG/K9sGX15tJKLGtbEQYyurLiiQiJtlEkaaBg6QCyYv5zdr3LiezcVGUbnKL2scJbKWa4DZaypVdeJUCmJ1EU05VLFCJeOnEvGdAJtq+6IolKvdH67q0VjnkJrVNkV7NaK1ys2aUSTNyVOh6neprouxnkLBb7YnU/IwHBliwFrPMBx5/eaN+ufFPI9F0IwyToG8yXROrW1SXjhCbtXds359/bmScJOWm6fJ450hl0jJiWEaVb/TjCQxvD8mCsKQ0vIetXSaigYXzUpkjRY2DmCcwlwGbhtw13U8evSIp489MSr/Z5hGpjHyySfP6boNb16/49WrV+yHUbtna4C63szXGecJSrca0+vOuakGZFJOH2/Pm+cHMn+eFkzovEg09f22GLe/bY4AslDn8cT5ec4uKuzNwkbtbbQk3HXaDXx99Zx//etnXF9f89d//V9wfX3N+fk5282ulpc9FuFwf6zaU6trH3XNFBwiqlLR5sRa1+lkPTS+3p9SZ5wiDHn1uSlpLkOrYOLyng3ZydkQq6xICzrburoAO60juAYp1tTErHV3GUWSazeeEe3IKjERY2JKjk1nsBvHppLEg/WkcGC8G6FkbVp1aGeczdJORQAAIABJREFUzUSPilMC2YC0/cToZ21t9Xo97DyeqDSFeYMWqWXCxVkjZw0MGifPAFJ5m4K+h6CemkUMMRYSnSqYi8fYLcbtCNHww6s3vPzhNa/fKlKV8gp5m7QDs5jMNA2M45GbmxtKEb5//Zqfffcdt7c3/OJnP+fx5SN2FzuOt/fKOWKN1jfc8MRZd56Xs/htnBiGA8MwrMa5qd1+cR5zMUZy0nt9So9o42g5Mi0A0+ysoAOjtBNbBuV8TqUs2nOnlauPoVaLdmIbm6fPOeVmLUlaPv2nz9b/Z9Gd0Cx8a1ioNiUvccqfOn4SgdVnP/vFCiYs80LUHmtfzQNl1a7rPoAU1/yW9v3DwEoYAI3gVa3VVBLciktD4//IjBrkMih6EKbqfZY4Hm4hZ3a7HUSLlUwc9rqIJ93wjOswxrE92/Ho+oqr6ycY7xiGiWIE32+5fnrNxeUF43jEeIc4T9dt2J034rqvMLVBTG3pTurvN4bEMEWGKTJWPs9xmGowUTthSjlRr00PIu6cM9iO43Hk9dt3XF1ecP3onF3nEUQlJqQgKw5cUkojnWsaJHp9W5mubVyaCQ2MYyAHlXkwxtBZDailoJm4KA9CCz8rVGzuehsYBw1qteQ5kqYwyyLEFGauSyp5CayoyBiJmFWl3HqL7x1+4zk7O6PrHP2mm8t7tqI0Li+m0TElhgqXxxjpN7s6NtzspafHqnxddIyBYRwP3N0fVIm5HjEXDXqd4+t/+o7Xr9+y3yui2oLeuQkh6RUXsVipBPaUZ5RhHdwtKtNl5rg1bsUwHMi+dr2VI8fxqERe8WRjuR8Lh3Fif5wYY9IGh1TmgFUXoyXoa/fZrFDBdlhR4dHz83M+++wzUjgHYH9UpObN6/cYY7m8vOKbb77hn776mpv3aiTeFnb93B+D5Jfge32sf5eYTjh6pZSVBMBynusmCV1LbH2dyrlswdWsXVXnQCzzeBaxxDzN1yPadm9UtuD29hZjPc+ePef68oqnT5/yi1/8khcvXvDi2XPOzs74/NPPV8K0et7HwxEw5CRYY2c9LjGGnNx8/vq1VCkAX3lti97crDpdvdgSpRo/t40MSolQeTRNmb8lRKVESq5SLXFpHAghzsjYiRr/fD/W3CXQMpEmcqWdu6oUaCkr61rsnCHmwhAEZw3WFfymomKhJw4HSjKUElAUFqzvda6WsW7SUKpMDqg2nxNRXS2nG2XOWgKWpK+zDhDWgWkLRkBwviZTDSmm7lXGgGhQlRHGBFksxvYk0yN2Q8Jyd5z45rvvef3+PcMYSLmAdTjvSQIhjUprSJFAnhPQV29fcYwTr9+95vuX3/Fnv/o1v/3z3/CzT19gSBhnKTkiuaHWVO5pOQFZcomEoMHUvb2dZXvGcWDpvm8BqaiiuhWQQvxQFWZe+42xzN6DJeneWpbf/6ljCYw+jk6tE6i5OrEKph4iWevgZ0GfPxQeXTdYIa1xLc7v17jc6kjycRL/w+MnEVj9b3/3vz+4UKfw4QLvMz8GH8KADzPajyFbOtkiJVeOj9g5qGq/V2h9BLTu38of2xqYbLyj7zydq4aewP7uHZIiziRKDBr5RxUUHdJITIU/fPcN//fv/hNdvyHkxPF4nDfF84stkhPDeGA4qLHyxeaS715+T4xq0BtzrGRpR0IX6mEM3NzccH+v3JxcPaaMcYQYCSnXjNaclKC864lESlzQgDElZBJevnlL13v6jUfkOdcXO7BN4VqwrtpbZF28Nrse6ywb7/B9RxinGdXZbHaQYBwDd7f33N7ec3d3V41eleRsjFGEKqsFhhWDoxFkW5uzIpZvUlV/zoudj2ZYmkXFEheenBWaxfyQRrqu4+xsw/n5jkfXj7i8vmR3viWbWMt2adl8a1CHKLoQg3LrdPEZ1Zi277Cdds7lrNC769QDL2W05GMssWT208APb97yuz9+y9nF+XwfgljcdsvL16/4D3/3D/zw5l4DOjHq7TiONVOKqnMWE7ik92YqHO7uAXWXnzsY5yaGCSh0zlfB0pHoHSk5Uu28GsZbvX4YXNcjvmOYAsdJrZjevr/lfn9UpXNjmCZFK3p/Kn/w0DeylbmtqP3SdLjn6dUlknvllB32mBgp8cj1xRl95yCN3L56iVhHmlRqYj/c0vc9645Waslr/jE95GUua4SYOLdslxUSAdUqZi5htOx3QRl1DIiWYGt5RVlntiIBMmvYWYx2bZYlKBLxiLHsdjsuzi/5i794xi9/+Uv+63/333B+fs5ud0bXKXqbDuqKEIZCIMw8QOUxqQ4WZenuOym9lGYvUrktqM1IQ8wozUM0zON7qhzGVInfLTBsY7+VvVtTQimq25UilDHNIsRrmZXUkB39S+Vv1wCDXMt0SWUIxNmly7WWI7VxQDvrqk8CqaHAueDFYXxP589xEnGuYzreMY23lDBSSkBMBNNxzlKuTKn6e9YWe4/BG+XcLXzVTBG3Qtyk7gtLoqJJHjOaoWhMtROqeLt1HZieJNpMMCbBn53Tbc5J4jkGw+3tke9evuOrP3zL/XFgyno9uupVJ9OB6S6pmGcOVUbOYIrh9v6OQxjJrzJffvlP/P3f/x3Pnz7jZ198wX//3/23VU/PY6jczRBmTTmMw4ivCFVkfzwQUuTV67eVc6elOucM3nVY61X2ptP7NI7jbKXWgv91E0njorbrY61f1lFaYFpqEr4Odkrlb9WkrK7ZhTLHWDquyvx4Q+ElL+fQ5m97zSVAXOKIVOV54gq9VpTqlEv3cD2Zy4LJ1saffwEmzP/z//q/rC4I9Wudnq1GW8xJdAofklbXC/ufOpqxaSkFMa5mWUtgVYoGR9RspInP9TlgreXJ9SW7Tc+mU6KjkClpxJbMxW6DKWqom5MK2EXpGaaR97f3WNfh+g0lC9MscFd4+w5ynAhhUud1ayEWhtHXwGoglawK253yx+73x1qaUo8/jMM4g8+ZKSZMrgicLauuID26Tq1gok3IVLsMU0RKJhc4HAfu7g/cH45c7rYgfoaVqRIHWlpjLg00OQGq1pMGCI7idONvqEpT9uYuYcXhjVqglKidVzaryKfJUFIi5UxspZ0GQyPY3qhSs1jEObpdR4wTIUUVb6yZRhHYGvXyO788Y3ex4/zynN15j/eWKJByIKaiLfmtdJANU5pUcbpyaoZpJIWAdwtCtCy+sgrMtDmilQ6naWIMUTk1q8aKEDN3w543b2/YH8bKMSxq/5ESxnisqMp8KQnm7L9t6qxEJZfNeF70ToiiZk4cZtNY2yi8BWMy1oHvCl0WxESMzfoP5Rh6Vz9vGE7mYHlwPuCRlMCoHtq2M2w7LaPrHMxQIp3VTa6zQIkYyUiJmOL0a46YbGGVKWpYtCyYbfH9WHC1BrMad0aREyHERcplXujr15Km+Tq6ZnBsquRHDnqdMThbW/1Lhpjpu56AaqY9vn7G5dU1n332Oc+ePee3v/0tj64e8+zJM4xxJ5vQiXr1itytp6Q8lvbgyaaUm5ChW20wizhwSomhek9qA0srjzfyeX0j0U+US54RsY+hgyULoSyehCnlOehtCC21+7dZ/YhU0ciKZpXaXTwn06LB1EM8Q5EnmQODXEuTsZYZXX9e57eQzUEFguNIyVqmL6XgXDOoX8zqZ+HPXBv6JWPskng2H8SHZ9QCbS0FKqfKiKnWOBYRT8wqeJpKotiOfrPF9DuycRyGxPu7e16/u+flm7cktHzuOk+IhZRGQl66vBWxVn7TvK4A41i7xY2KzL6/u0X++Ef+4z/8A7/5zW94dHFB11XuXS3ZhRgpaCdmK4HNSHgEawze9XSd/nNWA6vNZkOWBYVtQIDe+x8PLhridfrzglyty/JrD8f2Hg+Ptub92O/quzyICZbvl9Lf8loLzeIBF2smr7fX1fXxpOr1z6BvP4nA6us/fr366VQtfbkhD+HZ05v18Gg34WOv1bJrilFV5NWi1rJBDaxU38jVUuCFhc5Zxo1DmJQwmiI5jUhJWCN4p7lLSorYiAimc4CSj0OKSBzB2LlObQyM+5Fp2FNK4my7Y3fWYWit7nHmtohYSlSC7ziOjDGyP6r5cs7oBCpCDLqIWOexYlU3Jy4DWFvh64CTet2NZrKlCLf7e169fcfl2Y6r83Ouz7cKn8dGXlS15GZ1YYxC8aYqdc+quUXh/65zGLNThEoE7wzTMM7ojC268ZG1HOhxyhWom4P62xVcdjSvsM1mQ9e3DUV5VDFOSgBN1RZGtA3Y9h1nZ9q2vj3v6Xc93jmMLeSsBO6ScvUE0806ERmj4XA4ECqhc5omwpTAOLzvMK6VxNQ2R2aCvKJoYxwZw6QlSFEBvrhCX+6OA3f3R7774S37MVJQLkdJiYna9VS0fLPmGpmydAc2DbO2aLSSj4iKuz5EdttCIqJbdqk8FL11BWsU1XW20LlCbyu6q7svDcmVGmmffEVFZZ0ptUyi5UtrCimOeNNBMUxSIEc6JxgSzqCIr1WivbOOkpMSk03lv6ymuVmVnBaC7EO9G8CyWkD1OS3YXpNT1+U9EEpcoZZ1zSnz5qa4FbWlXteshoYLu82Ws4tz/vV/9ld89tkLPv/ZL/jk2QseP35SOyN1PEtKJBRRmZ0FYEahWuOFfr62ISwBVivniSgyK7M1hwZMU/WqvD8eyJUHNCP6pbkZmDoOlJgsFbmVOTirgZXU+NFYlTeYKwzKFW8olaKDFSWXDMZqcFjAVESkeeKU1cYlqASG0HSJlrUaachXDahFJQu2m0eI8/Riia6D6UgaHSUPUBS1M8YiRjtuJcRKyq+Uk9kYWcuBzWuuBY2ZmtALWFvFfm3jWNVAS3T9EOsxrqMkSwpCyEoB6DYXBBEOY+TNzS2v3+15d3Ngfzwg1uAw+Jg5SjVeT8vcXL4K0jqrUV6bCVCrwLqu5MRXf/ia3bl2jD7ZPsF0IFndIUqNE5YSb+siVxRH0ER7s9moELUon63vtoxRdfZS1A70h2Xz9RxaxlAVbJ11y04DonXnLqtGkY8FTw8rVD8GoPypv210kTXvajlvO587bYytXm9Bv5eS/z8TV/00Aiu/Sis/QKHyh1Hi/x9U6mFgtc7iZ6HAOsjKzKfQ51rJ4IScFfrtOk/nDJe9r91N4IwgJZPKRMqBjffqdWXVjiUmQZzFieH+cK9kVm/V71OUPI1pGjpAWDovrFPh0l23IeeEsQXjm02GfoYxTExJbUmGYeI4TOTc0AKFbVWIVFvumwJ1O+7u7mo9vA4Wa7FGkZtSDMMw8PbtW67Pz3n6+IqQLvFSFesLUHSztSkzhgQmYUycScvNOsFAnaTKd3DO4L0jRkfySsgOJRKLmgJ31tE5x85vdSF76BlV+Sy97/CdnTfVnCPvb9+Rpeh+V6r2mBWsc+zOtmy3W/ymoQQajGCMKks3u5C8bMKa1VW0KgRKViRyGiNd183WL23CwWK0WtBrPvsJdp7ziwvuY2Bc1WSnkNkfR96+vyGkjO96ctDyk9Suv2xlRktSipBSVb5ftMKWkoxvOyC0IC1ryWKNYrT7bml8G+UVmGQhRUoOeIFt58kbldEoGHJt03f+lKi6np9WZO5Wa/PqbNfhTGa73WqAGgyTGM53Z1UQEna7nmdPrslZEdWcYIyhlgLjyfut0cKPzf353zqwonzw+1b2ebi2uHKatKWUSKGZzjpKEVLMlCgItm66Dms9FxcXfPriC/76P/9bLi6vOTu7oN+ezQrqxEp+big5zJ1UWn5Gy7lzAKwt6k0SpsI9VVerda7l+d60sTyMh1mr6MM1NKmWHlTkhYrUtrGZa7lF5q5QRZt91bNqSCWsTcIaGqYB6ELrL1nfqDGY1pukTh2zvK8xlVNkNChaB776RcudLmGbFmHtwMvFEbMl52MNJgtWqvaSqxv/HM+ZmrxWmklWncImt9DkbTK1O9dJbRLRQLC+CAl1iRDbYYxXd44MRTyxwP448cP79/zw9j239wPjWECEvu9JUe2bZt2oEjU5SxpkSS5YZzBWx1xOQr8SUd7tdnzyySdcXFwwhcRXX3+D9z3bM9U3c91GgxhTTpIF7fxssjGWzjv6jV/WNDTobs0Kp3ZKp7xlfT1mm585IZHVVSoVHa06W7M0R0WD2rayGlTrGU1LiFpT1PLklhBBu7Hr+OBhMPYwdGgIXAus2rjVeVfPjSWQ/BeFWMncFmnqRF/VOqVUOnMzoNRB+RAafBjFphUqIKIEPCPVkby1nxa1jZCi5EtKxs4XNuMk4UTwkvHWaWt/LsRJSDZjvaUzlmyd2isgxKw17Vhb4ItXnZVCUW5UZhao03KA3jS33dI55dI4Z9WqJTeRz2rGSSbV8tt+rx0c05gIsfHPBMRVzzwNfHII5CAcp5FpXFiHsSR8aVmYcjhCVj0lI4VxKtzv99ze3nJ3u2d6FsGBSaUubDqYQyq4kBCZVILCLxv4vLFqhIMxFucNXW8opSOfFYpk4qRlVylCrh5UY57oTI9x0FepA8GSKwegqzIROWdCHJli4DhpuTSWqEJ5TtXTnXdsdlv8tsP1XoNmSu1ogjFOlSNVKsRfOwhTmQXzSlFl/SbzUErB91UCwnrtdjJNCwkSet9SiWTJ9H2P7Tfcxch4ezffh/PLK97dHbi9PyJGmxySSZQoJ9dQz2nR7YJFiiEEFYXMSdvUtfy3oB8NxgZm/TMde5aYDV5Ey66iZPNtvwG0NHBxdq58uqTbpNSA6WMdum7V0t/KXCK6GW2qH+bFRU+YEp3fcPVIO+Ourq6w3vGb3/yGJ0+ekHOZPQ1DbfluiEs7PhZYzYHdWqS1m9P6kyTLGDP7YbbH2kYKsBG/oDs1UWho5TRFlQeJmXFMWOPZbrf0/YbHV9fszi948vgZz55/TsqKUh7u9oBRBM5WDoyJc0CSSy1J2tZgs+7YXdCamYiPljGt0cU/5TBvgq1Lb+0D2q5H+0zGGIyVmcgvQC6JklN9jyr8KAlkaQKypkeIFJrcQGFlKFRRnvXu1QL8Siaef32KLOo5tvKhltwUAawFuVxm3lmq8EsstSzna2DlerLpSLaHfCTHACXoHmIyYpSXmZPqizW0ztROSpvaUDHzeKCuvHq9dH4oWX1l3Ow8SRwliUo7OI8TT8Lz7u7Au7t7fnj7lnd3B0IsFBzFgOs7QlqcM3LruE2nXM/WvFOKJZRMv3H0fc9ut+PZk6c8f/4pm82GEEZev3uL/dKSS+HFixc8urzEAlNMxBIUBRbmsr2I4H3H+dk5fa+d0YrEGZxYcozEmJWDVqkGOQdgcV6wVmYaiLGo7EVNvtdjrq1nYtZSJgti9aeClR+b6+vj9DWXMbb++1b5XscKa56YSF4kQeb3qILBQDIVif1njp9EYNXJojn18OKJWXmRPcgq28JTSmFdswVV+V0vtOuuqQZlZzWP0tdkKa8gmZIS1iia1nuj5Y3SoPmMd4aur5lKMYQwkktRLlRS5WUdaEpejTlxmLTVn1J0cZ3LSGo023tLTmEWsAvVTJkqhpBzIsRAiGk2Vm6Cfc0uwQJk5RZMMStHKGWO40QIy4Bw1uEqL0OvX2RMA6UoFB5zYhwnbu/veHvznv3hGbLpq0+gkv0EJX9O0zQvBJvSYSw0deYwHinFaTJhNCNuhN0waGDlegcxkaMGpCVqKS3mTF8imYQrXdVz0nJgsJGc47yRTGEgigZxRhxiCsZZfGdxXYd0qo0kToVIkwRCTqQQSdSM1phaOoMUqdnkOKsUD8PAYTjOpch5MWl8CB2cmp0RT7SPVDKiw1ZtsXbszi9IxagXoO90JDauFpncAhiWVvc21ltgNcYwkzJzzrMqvWqx5AqAGIQmFFolRaxn67atVYsiapDst2dMMWOcp+s3eN9rgGYdfbfT1+4W09W26fYrLa+5FIxqE7VAbH94P4tlnl1czgFYycLnL35Wy9LyYLH7sJRwgko9WDNO2sBPujWZEaq5nCGn604FLOnTkiDEGAnTVBOZqF2bCcIUCaHgXc92u2Pbb3hyfV0Nyw3jNBFVc5aCnVGnOKWKDgm+XptiVfuIpP53y/msOi3N6nxbkFW7FVuzSOMCrjkxpQba7XVyzkhX0Zu2+hUDlZC9GA9rs4pQVbVxEGTRhRKVG5iVq2f0r5WBltIkda2g0TBqgluoWl+y4F7SkmkRKBGyqaV1aHpRRQy2CGLVXslYj1h1sxDbk6Z7khlJcaCUiClRYzwxIFNFOOr5WE0SZ63YVWAlFWXT9aEl3VK5bdVhwm3IuRBT7Yq0jmI8KRu+/+E194OKLhtn2W06ijiGMTHsj9qsNByIMcz7WJw0ObeyFiZWY2bTe862PU+fPuXZs2dcXV1xfn5+sg/+8OYtY9T17de//FdcXFyohtdKpqOs5k7f9/RVJ1HnbMEbi3NeO9dX5VItiUulpbh57WuI3lJS0zGl292piHMzYF5QpFPP3x8LoD5G63l4PAzY2nPbPtcC9o9Vs05Lf3JyPjKP+X++WgY/kcDK8eEFbQTOufunMItztA9py7L4STnlZrX+GBElN5tav6dApErTl8VLzqHomBed7Lkoh6gzgpdqPFzJ0J3XVmArCgSnOCEGSlo5iCclsPqspqMpRNKUCFl97MRQxTe1jJWNmjkrOVkft5uaVVUkJMSRMULKkUZQbR0tISjsrddiWUBDCNrSbwx9b+DYrmEreWVFOlJa2avovynpJvLmzTuOx5HOWIrT6++sgazXfBqDlkVKQXLBd/bBhEiV5Nrq2QXvLX7jELehpIxEFWxMU6DEgkE1kUJRWDwVLaHEJLikgVOqaFKunm7G6+ZvrSinwgnWKzk0G1FScRznAC8b7bwxTjQwNYaUCzEWxqDtyGOYCNOk9iuHA9MUOT8/Z7Pb6md8sLm3zSvEhhrohmc7j/e6sK27VP/4zbd888fvOAwjMS9k65wzwrIgxaj8rTUsb2s5sCF3GlxllGqjC56r1iy6B6eqDxTnuXJ+dqkLd1VZ7/qey6dPKUU4v7zi8tEV5+eXGOkQsWy32g2YutOEZ90R5M2S8LRW5pxVu+rd+9eklLi6uuLJkyccDyPv724ppXBxccGjR4+wViUWWok1paoWDx8shg/XjYcBV+QjmbBZFtr84FciisH4CM3epnHrjseRaVA+Y4yZNGYozSOydq8W1V8apsBwTGA81nXVYkX5ck3oya4W7ylocJ9iwczq9g8/l5kX/nbNU0zknJimoSYA6WR8tCPntLpeq8B37Y9W7U9yTog1dWNMM/IgkmkyOLqpUlGMSojPze6kqq3PYpFlXp9LLfEZU3R9X80FPZGMyiLUEoyuaphiFueJupZnMZWQXa9n7UD0OMzuCqYjIXpiGIhp1BIdAWO62dQYQKokylw5meUsKhq7Qi4ebtgigjin8hM4MI5iLFPM3B8H7vZ7xhQRa9l1ilqnLOQysP/hjv1+r4089fVSCIyTdov3facC0c4ph7II51fXPHlywaeffsrTp0/ZbrdYa5liIJXFg/P9+1u+/PJrShE+//xzHp1faIdyTfRyzrPYrCa6DZG0rKVz2no2OzfkZeysExRj2/U4DVp0zp4GMyKcBPkPA6sm16CBjo7X5Xr/CdpQlQlZB0cP53az+FqfozFLk8USUC1I/Mffiz95/CQCq123cABgiTB1UQ3z7x4uqtmeEljXUeViAorye0yDmgUrV0sm9zCDrZuQt041rGSJyM+nA1jD9tEFXb+lOKOlp5opOiNM9/ecb7ZaqqpB1TQl/OaM/rzHbc8xmy1TFo7DhN/05BC52Fh6MZhK2O2sYxjfEEPjK2W82yHlyHR4z7AfuX1zVy1ZMikESlEkZaxWMArz9nQiSmK3lq+Py3Wf4qT6KfX6bcw5KY4VflchvZv9Hnn5PS/ffYFxhQ2egLB1Ht85YkmUyTKFzDiNjL7xjxzWGazfQLUEKdRJJMp4dVvBFq+wdBYovbZ+FyGPldNS1dkbLSm4TEKzuygB6xXK7qzgva1lR52NxlJnZeHoJiYmbLFYLL6ZMDtPTBljLCHAcQpMYySlTEiZ/SGzPxy5e39DiiPPnj7mV7/4gs8+fYrkPb0xdF1GjCKEISdC0s7G+5tbhmHA946pFO4Pe/LZBTYui8P/8D/+T9zd3RFj4NNPHpOKI2ZhLLUNPVSh02QoKZBFBWv7zkEJiATKdMskOpl7a7HeUnLCOWG33QKZGCamKc0B3t39Pc57dpstjx8/xvc9sWQ22zMef/IZxXgeXT/m088+Z/voquqAGd2AnIfZSV6WlQ/mFWctdyLGkGLE3t2xOdux255zdnamnBu55fbbHzgej2w2V+x2jzHbHcQAxpOnCbPZQAkP18nlaJtzW+1aZgAU19YBVea2tJqbkGs3K8aDVG5a0kACHyrUVHA4+lTYbiNh0rmYkkofDEMghgVJHI5u3ri22yYnsLaB0XlXLx6SdIzHFeKwrIEWsbrxiQgeX1lL9bkCw7Qnxsh+v1/WR6M2XCnFk+DWuW4Ofk0RbF7UpbXkmLG+ME0TphSERAoBwqjEZuconWN/HzXodZ5GVC+l4IyQmqBqNa6W9p/rMSzSOZIFU5prQ+171MbTeZ2GXOUW2trdOjr1WqZka7ImGNngjEHcBdZkldSZJso0YnJE0M7AHCdiOFBiICdNfBJBWT+dkGNCsmDFYbPeO0PGMSnXVRZbHyMOZ3pKuiAX8H4Dfsv9EHjz7pb3+ztM5/Hi8CKkJIz3B2IsHO4Gvvvj+xrcW0oJjOOBIezJRPrthk3X45wmLLud8p/+5m/+lieXVzMXau5o67eYUMu8obAf93z/h2/5/g/fc3V1xb//9/+e7c6ovVQuVTZB6SgKWFjWTS/ZJKYycoz3tdMxz5QU64Rt5/DOsvGGzqlEjtEuA21oyAXDtAQwpV67nCiJk8dbPJsrkhXKcUbC2jFLybDer2EJovQztMBtHdi1v9HKTp7XgnlBsa3vpR64AAAgAElEQVSSU3mBuV8FgVWguM0th3Y7P+wkfHD8JAKrL37x8x8NrB5moOtsTdwS2S7w/4f1WDWHXF7L4edseO3v1v6k8UVA4en29xdJUYggBdd3+M2mdhUKIUyQM9999RW2ZC7Pz+it43g8cPvuAMby6PkLdo8eY7c7inWkCvVut1vOndHW8pIhRVKcePvqa/7whz/U86Qu5ANY9WHLpbbrOqPWA0UnSg6JXKUh1GfPaZnhRDAt1b0nz6hLG4wZ5WypJ5cGZOM4chgHBM3SFZUIlBpE6GtqCdGmpJwco4vgXMZprSkYtGNIqhu8oPYUiigmtMPPYrSUVYNkRfJNFaJMMx/FVumDXPkgejPRYGDOdpSnZIzRDrQTRK3MnYfr1tuUUs0odYHYbDaqiL3dKnzuK8eqdiyVUqAiTOM40pTvQwhEBOM6Doc7bm/v5/dQFGzSLE4gxUTIjWORyZJp87iVA9fKyO2yLnyshEhTwm98mvV8KvPfnW7iZun0A0zj0NQgxIjUwKqSq09akRuqPBM3ZlZQe7zUTS2EQOqD7qDWMA1H7m9veP/+lqurK47HZ5x1HSXGaoESIWmH7nw8RKBy+TDoatnofD+VF1NWa4Op4oXEagk0J2NmeSwLlFS7anVeDMNUFc4zYWrWGNTExtRAY1XKzMvcMnWtaoFnJldl8AUBWKNSUu2MGurXlMxVm0mYgpb92nvN2fiqcWA9ztfJaXts/bX9bo0oPESV1mXa09eThxXbB7dkea9Sv+Y6Zxp/NsvC/wFFjaSOP6ByOxfEoTkzFFQkuSGnh2Hi5uaGmCY6q5QAKQLG4XwPzpFzxOdOdcoAkWNNUpU0rpZAqQZ2quNnqjSPqrhbte1xHZ0YMB2plHn+ZpTjSYq1sqBrrhHVeCsk5f5GKiJ6JKSAd5bz8/PK5wLvHdfXT3jy5AmPHz9m122Us2kX1fhGNxiqgHLbE1vQ/bvf/Y4//+0vlNBuLNZ6VJvLMk0Tu935yb65lJDL3MizjB+Zr/tDmo1I60A0ulc8uPcnY3Q1Hk8eY0G71+fz8OcPx/SpUPCPjb0PzunBnPgYAt6OP9U0sz5+EoHV3/ztf/nRwOkh5Pjw+2YEKyInZFkROelaWr8uAIl5Avq+Xx6XZTOxujMDVAsGuLaFYRi4OR5xnaffben6HuMd5Mh4HPAihOPAi08/4dHZBe9v3vLNl98zpchv/+IvePLZ55huQ3E9ftPTb7Z46+hNxkrBlsJ42HO8v+Pd4y3ffPMNvu846zaMQ+BwOMycCmPBO49zHWnVshqPC2HVOPVvm6bIsNJP0s9cNVMQrNFyaEqt4lotqkWzhWEY2O/32JIx0pOcoxSjHZGi71FKhmiYJOgGLgXxMquY13euX2xthW+bgKjrPVo2EKPdOGJEoXppAna108Roy6tBeQ3FtCAq1xJKJd2ivBZjLN6qKGErn60XJdVzKbVkWYgxMFZB0BTUouXi4pJHjx6x2+3oug7v+0Ule7X4NNPjNlbzBFi9ju/f3fDtty/n+zAMA5migqCxtT8vXKloMiZpedLbpnQdmGLAeztfl5KVc9YQV2N048g5zuKhTRenffaGssSccJW838rH1kGcRsbxSDdtUE9N5eGYbCicksn1/i/oZ/v87b3GYeCwvyceRyZrydstxjoO97fcvn/L69dvOT/f8eT6ik2vXLr5NSXNm9/p+F3e9+Fi2ALqtM5cV+aqIkKTNWjdVo1oDaj+WmmdmKXKWSixNQbVb1KkKs8ZeilLb9tS5iiUZudkmh3NGn3ReTAHgMWc/H0r4a2DmdmGJCemMH70PswyCR+pWZRSFq2mBwGVotx+DuDXz2lf19zWNidF1BKn0S/0OJWGEFabNks5CGNWGmMPZHLa5xaZ4/lZcsQs6KC+vwo/SxL+8PIVb169BjLnFzsudls677CucLbZaWxejYV97TiN0YBLOA+SDVK5siWNOkaKgVLwzlNEiAmkWO0Qt56CZRxjNVLWYCqURIipdsHpnpOirMq1iiyOowZV1tjZvqxU3uR2e8bz588rGf2Kre9mHcJ1qbrtgW2uN4upcTzy+9//I9udBuePr57UYFTXjvW91esPqWg3i77+OpnLNXGzC/r5AAChgtjCgzn5YKytx+PHx/CyH6+/Xwf6pyW90z3/o0HUR95vPe4eAjyl8MHPa/7ojx0/icDq3/zb/+rkgj1cSD4WWIkIicWQ1rrTv2nKwS1MOIk6a3u0cXXwtclcTSMtshCA24Ar0MWBKUw8Hgesd/h+i+sW8vLxcM/+5oa3r1/x5NlzPnv+jGeHT8iT4f3tHc+ff8bnP/8l9D1ZHK7rsdtNhRWzljumCe8t292OML7hMBzZbrd0XUeKqk1zPB4REYWDrQcr2LJcuy611le9BscxME0Dw7gswk4JYpTU0ByFam3vIWlAIvU6Om+q0OBU/RMtfZ/pjXYTZirpPzeCddW0SioboQ0IGZGsmUxFjJJkSiqIsRSTkSRkySrcJ6K3rmgjgq6oqhCuPxWKrWiYKXNQBuhriVQulc5yb5ufn2Zcy8a1tOEuwnmRw+HAfr+fId9N13N5fsHl7pKu27D2lWwbmdSgyrJ09K0R4+M08vLlS7786qv5sVI7XlWDKxIaT68UHBWhMkIqYDDElBhjYBsjqaiZMqAdRaVmwSJYK8S4iOq2+ZNzWyBErY/GgWEYMcZWi5GRw+GA8x0YR7/d6ebpLMZ6EtVCJoePZnjt53Vg1fhV9+/fVdGjRFdNr29v3jMcD4yHO374/o98+skTLs62em3a3DsqQvnwPeZr2JDWP5FEflga0DGt5Q+PUNvZ60bj3fn8d4pKtexWPfJyKuQoxPFUeLCVP1qA2lDMds4igq9rU8v4RQTbkqIW7FZPtpiaT12B1WunpFzNNcLaNpmH4+6DxHL1/Ie/a0hHQ6pmY+KyoLnNFHy9GYtUJftS5Qjmja2yXSuwuaASS7m4WSHNfyNLUnvy2QDKYnoNmoiUUqqnomW/37Pfv+b/+n//ibvbW/re8yRcMaXMbtPT9WobY5qZcFrm/nicELF01tN1vSbXNpAmqwLLUYiSEfFQDKkGd8UouTzEwv04sj8MjFNU9wUxYCx99TqdpsBhv+dwOELShGGaBnKJ9J1nu9VuP71ewna75cnjpzz/5FMeXz9huz3jrN/MQU1LtEJI85iaCe91r7RWUakvv/waDe46Hl1cglVXhG1/9kHz18m8ypmychpsfKzW0f4hirQE1Kdzbhlj6wC6rRGnqNjp0R5vc+FjSNesQ/XPoEnrIKo+8MHffQAEcDqP/kUgVr/+8z/76AR/uEA/DLRy7urPfPRvkZPVZfm+2r4Arai/un5SocHMCZO7FJgMXfCw2eE6j/Haug+AM2yBT55/SpwCRXSQP376hOfPn6tNyPFIIasPmnXQ95QQkO0GphGCyg5kgSkGXr58OQcqt/f33N3tFUHJmW7Ta4t8kZrB5vm6dN6R6uIYQqCkAJJxKzJs7zTYadGLkPU51mC9xYqHktlsO/rKvxnHEUvBWaH3HWbrsM424IsiSnaVulDFlPHZkozyL7Q8Un21pAY5tpqiFgGrJR1jROvwFZ0yVFheFElqhzWGYvRxK8LMrTL1ftslw3GmlonNKSKwuJzXbsiogev9/T37/UEDVefZ7XbsdrsZStcNwWGoqvFZxUUlL6/bFNczhSkV7ocD3//wkrdv362GZS1LGdXjSWnSbJE6/GiLx5I9xhiZ4mKEiihptCFUkLG2U02yej6uapbpBqZK3mqGfGS3O2pJG6vB2v0e12v7vvdeyffOYbueXOrGm8YPFpr1YtPKV8AcWN3dvMeLIU8jfTWuPt7fUOKIKZHh/oab96+5vTqvm/uyCK69u07m+IPj4cJs27UsyhGrk17/FSHjgBFrNmiJR+/tFJcFO4TGkVKUNFcEK6wQq3mBl4XXhGjg2zY5taOqaIMsZH+AM+doKunTFOdO25QDqhoOIZw26DSR04ZaPPzsDwOfj6F8axRg/ZyGeiyk5Vw18tyyKXKaBJeiYsclqSffyX16sFc+PM9swKzPvy3PZvnMC4qlHFDtm9WSrRMdpy9f/cDvf/97fv+HbzEGHskl/RSxw6T0CwN2DMr3SYEUJu1+jIkwTAiWzgmbTvX0SrEU2SBOqhl1gc5hxGJqkGK3Z4SQuBv3vL89cLM/MuUCznO26cilsNupr+jLl6958+YN7969A1FuboiVw7bpODs7wzpDnAJ9t+Hpk6f8/Oc/57PPPq8SC+ec9dt5XqX4/7H3Jj+2Zdl53283p7lN3Gheky8zq7KykqxSqchilSiaFKkyLYGWZEgaqAEMWBBswwON/B8Ihice2GPDA2tgwDAMe2APDEGwZTW0ZMuGLbLEYpGVLGZT2bzMyszXRLyI252zOw/W3uece1+8LBrwIAXoAJEvMiJud84+a6/1rW99X8om94VYLolV0zSDl66sqx3bzZ5PP3lEZRvslyuWixO0FppHU8+oK9HxUgpp3ycRoJ364x2DG4dGzOO9eYiAHSJC5efT47ak5ra1PE3yS0J225o6Xmu3vd7wHo/Rp/T83/1Rkqnp8YVIrBbzE9kIZcxEflg+RAglczr8nVIYikzDLSe0VD63nQylId+QKQfvQaUwpvw7cnWdK84YwUd8SLjoSV5RT2Bqek+KnqatMUZxc3PDkyc1q9WKtm1RGj7+6EOaxZw7L73MfHUqbcP9ntrA7uoJlTXYtubmyQ1vvfUjPv7wQ5bLJS4kLi8vubq6pu97ZjMRz+x9MehVJBVyFRhQVMTgs41KTwyJthKlcq7kFDRtjfF6qKql4vTo7A9VVwaNom1rqlb4W857tkDnvfkvf/P//nOPbjYPXrt78fBv/9W/8A91rvRl/DqbNntPjIaUTEZcJE1S2Q5iLBjEWkXoXlkpPCXImiIBpNWXRB8KhPumjEYbIU0qlajqSl5Bi4q8EJPld5bx5kkpDU7yMUbcMFnp2O0EsdludxJw9JymrVnOT5i1C6ytcmutGhGrLMQ5TPC5/rlNDKWy7pEbWiwgHmgRsHkSxx0hASBITCyoWJbCCCEQSMNwRVSSJMcoqJU2oIO0GUIIA19j+ryFC9b3PZVzAzEXtaFKkYRis70hJRE4repWqsaqJva7FyZW00q0vE7f94RuT0zSYpy3jaB0rqOuDIu58Ebwjv12PWzqJXgWB7ppIlqO21oD0yArxNM8Mo7IkpA02tSk5EhRk4ylqkS7x2hDH22ODzGbA6dBmTsFkQaJPkFUsrJycbbvtsO5qOuKqhLScW3sMMFl7UhhKBufS9OkUK6lFrCDvvcHn2l4rFZoM6KvhwnI7byQ6bo8plsc/+4Qkc2IghoTuEQhFctrSjJczr8l4ofnjfH5zW16zWKMeA02Ps9jeQ5hkEehlBnQtd1uw9OnT3n77T/kRz/6EZvYcXq6kmJAaVwCl5Ig+1YKQhMsoZJ2me87Ot+TfMT7gEuO2osGm61aGlthVCuE7bambefUVYNShkdXN1zv1zy+vOHp9TU7F7FVS13PaOYtWmva+Yyu69hsNlxdXdF1HSondzF6rNW0swZt1FAwrVYrHjx4wIMHr3B6eg7ArJ7RtvMst9Ph3OgGUa5X285p2zgkpd47lBKu5/X1DR988CG1rXn99Rnz2RLXjbIwcvEVeMXIsSqFhXABj8VBC89qet+LhMqhIfvw81sKgIM1rJ9vUd/2mONk7GBg5pbk7Pg4RqyeR7UVcNhJ+6NoWMEXJLFKebT6AB3Kx7S3erDhKDUoqA86DJNDxrWfzzRTSuimmbyObHrD2G6KYzIlmQoxcyS2m2upMILH1qNKraBbAR0Du82a6Hs26ys+6rZcXy2pkkF5z2eXD0EnNpsN5/fvs8xw7HZ9xXa7oa0t0Tvee/dt/uAP/gDTb2gXc7qrm2xcvIVcAQP4tEcHja1BRzOM4u/3m0F7KeRWgq0rrBkv95tPbv6Dg2sAZmH1D19v+WdKB36ydd94tOu/E2Kanzy6+uTPfu31/+3ecr713vNb7336xrbrZ//RX/kL//Xp6iT5GNBRyOpRic2DCoGYEk2oMUZQkjLZV+WpTVFNTpngLjwpOXSe/Hu+dVECaWVM1l0pQJWibuzQ/ouFT5Ovvw2Z9DvhnhQkyDmfDUY79jvRKyo+WmiYNXMWiwXztp0QNm1GVCCpCJ5shxMHW4qqqjKh1KG0pm1b2rY9HIOHga+w77N3V17nMng+CTxJkQhUx4HIiJ5QCS7HiVkIgWQsoy+JQilNDMLV67yjcRFjAqRIosuyFYZ+t0cpReUbeR40VQhEf+gVeHB/aT38O/DXQhAeWBIxy323lccTOT874WQ5o2pqmtbi+h1BS2t0aEsdSbK8aAxaxaPgOym6xELZZmsQS0oehRglV1WNNSLQqrLYY5GvADlf0wRjlME4RNJcnqCr65q2rWma2RAn5u3soMqOUdo4Xdex6bp87+5HBLUIRRIkT0qHcSxm0v5t7cCUxmtxWwKcdC4mhZA3oKPl3Kq8RrUAvwRS4fGPiIEpz81wLTTjedJ5exHC+ZFW0dGaGdeyNBFEHke4Z8fxe0RPpKW72W/46KOPeOutd3j33Xd5/Pgx9778gNlijrZWJnW9p/cOSJjqjPm8xWgFRFSSAsMFL3ZDLtInGUJQ2ooOXhUwBpqmYrFccn5+zmy2YLvZ88P3P+LpkyuePLvBJ81svqCZnVAvZtRthTaGROD62ZrHT56w3/dyjwTB3HQW2FRKuFcqwZ2Lu7zyyiu8/PKrLJcrZvVMYo+2CAc0sN93dF2f24Ca+WwJarRJkzUWca7HGMN2v6ffO7bbPT/5yacsFifcv3M3q+lnzTKlUFoT1Yi8y+8yHzerqxd5hdsGGabX6vi4Lbm+bY8+Ls6m+//xz8fC6vYW4ote90Xv87AI0QfP8UdFrr4QidXu8uqFN8/0Z+UYLiT+YCM5fGx87u+Hx6lJlZTi0QXLJzG3d2KMYg6cpB3hYhgCvqksNl/UyiiIAbe9plaBCs/68hmXn3zIeXtCrQOmX/Pwrd/jsw/f5eLuPVYXdwR9yoH4R598xIcfvo/rehbLGWfn5/zWb/0WV9frrHWSIGr6sM96N5q6UcQA+77LZs0d3b4fuBoAMRnc3uP1yLH6s19/5b/SWW+o98H+H+/+5N/98p3lOzOTeLzuX/502/3yz66av3tnMXv21tXu137zrfd+469++4/9Xas0V7v9cl7bq6fPnqXdbs/9u6KFpJNG53NptPC8bNeRElibMJrMaTNEFK1imPop12fYCBYjR2x6HVUxD2bSxhhaZ4LiyGYEqJSRnpgncg61vXxM9D7w5Nma7XZLt5f2S3SCTMYkbcCqqmhbkQmYzeYY20grIsqrlp1F50S8sRUuaqzJXmLB0fsknDx9OLlSG4ttRCNqu91kON9grBDFQ0ZVoxYjamsUMch7L7QjQc1SzjDFa0+8uuR7aRcmqtpK8yR6aiueby4mttttFrmcQVL0bodtWrz3rNc3OOdo5jOqIIllDI6QzZRvO8oUaRkQ6bpOzn0IBGR66dmzq3zPRRaLBVUjbX2txU4phCC8wswj0oOG3RE/I46msCUWFA5TSomeOCSE1sxISmOtwdiKSrfUzYLZbImxC1yIuN4TfaDvRl0SrXVWX++HjabvO/b7fUYeRpHF84vTgeMifBeDzXpjLop4Z9cJP23aLr5Zb4bEqrRYtBbtpiK3MG37DVOjR4XCEA/T8yjVcUVfCrRpDC3JcNu2Q2JW3kvf94NnZzm/sulqyBQHIaFzoMdW+FoHKKJi8Gx1OU4Vkd1STAiSbTLq4od13IdRp+vp06f83g9/n+9973t8/PHHw2dc3Tsh+Blm0TBrDLZSuH7HftMT7p9CsmhdUWfnhJQC+5TAWHRlqXSNVpZka4LV7JXH9Tvm2ZC8DhBD5NH1DT9++BN6n5idnPHg4h7zxQVtOxNOYvLsuw3vvvs23//+93n48GFuHSv2+y0pRZqmorbVUAyvViu++c1v8uqrX+bu+V2aZkZTtxhT4Vxgt77Oa8cRXKQyFcv5ktmsparLYEEY/vVeCse9k+uxvr7h8vKSN3/4FpcPbvjG178OCVzwhJiorbRyi9ekcx0xBqzWVJWhaaoJaiX74kERnJ7nQ07R2ePEpNy/w/pO8WDtlntlCrKU+2G6ror+1jTZG9bb0dr/vARvEKeVnw6FcLkfbnv+4+MLkVi5nQSx41bCMdz3XHKlRjJn+VlZTAd/N/xPaSWOcGRRDR6DRRHVEM5MnP6rMnHSe7yD2GuSldF2VzZ4L5ooFeByudft1yhjsSqSuj37vueKSNjvSXcumC8XfPrZR3z2ySeE/ZbFbMaybTMRc4dKiaYRbQ3nAmEvpFaFwueq17teCPa2IlbjuO04Np2Ifpzkij4M6M5HV5s3rNa7L905+cR1Pe9ddV85be07d06ay9povn5n+b3/88Mnf/OTZzertx9ffe3dx1d/AuA//0f/51d/8Suv/LO/9ivf+dHf+xc//MY/f+eDX9h0/WLR1Ju/+d1f+se/8NqDxw83z+Z/5x/+X3/6g8eXL1fWuD/37W/84D/8y3/291JCErFcLcuClopXoaiyivcx3FukHUoCrHNVkS8ZOkaiFhg7gEw2UjaPIoQq1PyQIvves93t6V0kJIhRHOM7L/YxdjJRhykeWll9OgsUMlk/BjFEJXpSiMPmkWIk9I79fntAzDXGoGISG54QYAgOgpLoKGhoab2UjTT6MAQbrS0uC5GWjbpt24NN8bZgZoyRtTz5UkaL7ZL3wg2KwrOI2fbDhyQI5BFIfPD8eawdraX1ZqqMECusLXYqOVj5QIgJG2UONaaCCImStcoqz6mIBh6JBKOgc+MUbGUsvRv5hkkrVCVcOB/FJUGZGVU9Z748w5oGbWu6LrB3cg5I0qKcHiGM56h4S3rvUVq4ZEoHlC5V/5FbhDokk0+RAJ/vyfl8PnLyJsmIrL2R11SuHUhiMm0r34YQDOiRHnV/btscSgydosLTTarESK1E4mUQQU6FOJ41ldRhy+e21s/wmpPkqrz28HdKsMbC1bOVtIZDHJO9p1eXvP/hB/z4xz/m008/ZbPZoIycm6urp1QmoVJApRVGJ5rKYhqL6/usOwjYihQUrpcJ4KaeUVUttmoFzQ6SYKjUEWJP5xwhQpelHZ48ekrUhpPTJXfvPODk9AKjW4ytsbbm6dUjHj16wgcfPOSzJ4/pvKPSksh13S7rJUrXoyToy+WS09NTFu1sUEMv16rrOvpdP5zjNqPos1lD0+RJQaZ8O1lLdd1T9aJRRm7KuK4XysNe6CXBxyGB9WlcsFKoPd+KLkMK5X4cW2vZ/sUfyoCUx06v923H8WNe9He3vafj1yrH8cTg9Pt49PxTg/ciNVGe9/MI9tPjC5FY7Xc3z/3sOIjc9mG0KUnDCDMfJmS390OnehclsRLRt1GNNwXRlwkhCGSbgrR8EB9CybwNwVpqI9pKOm94OsmGWVuLpsZvtlRaM2sqdjvNdtexuXyK3+9J0eH3K37yycfs93vOzk44OztDa83jR0/Y7/c0TcOibQkhcBNzEpr/k3wYbFdKUGyrGp/97qYozSQG4/t9DlAVn95sv35v0f5hXVsxkrYaglLzRsiPfb7JPltvzn/19Vd+G2DTudVf+rmf/U2lFP/wB2++8c/e+uCX/sZ3/+Tf/4WvvProg8dPV5VScdft+U//p9/8t37+tVff+0/+xl/+Rx9dXi/+4//u7/3l1+/fufqLv/TzDwWvLqnUNLGSWTmdSe7l2iqlRPFdFsS4DhJAJCpNMApCIGax1RBTTozFLqeMzgeV6H1kuxMD6zIR5mOk671YzCiZHNV5Y5MWikzPhWEDlYStrDmlFCpPCBoFVmuayhKcwylBWEYXWEazYu8GorpO4klm8uZCXuNaaDzDhiw8C4tBEZSBxBAcQwiSjGf0ZloVKpWyzpUWGw4f8KEnhBqjhQ8jRsnZRNvVhDrm2ykQUJgJZ02W4nSTVmjbCK8spWGUHqNJZFFalTddpYnGELRGiXwnSUWSigRV53OehkRqakGjJVejnrVSKADGWmLfg1Joa6V9lRIhgtYNzWzJfLaiqefMFyekaHAhcbO9EWHYJG1rPbEdGiavckIlCFxBWUowz56eQQvCbQIwQYRiGhS2d50gXSWpkoETIRs3TTPcy3LvQlWN98AQ34RlCByiA9NjujFJojRuhMdT18P7zI9xzh1oFZW1HQ20raCZrhuRI1nHuS2tLUVvazp0cFvXoVyf8vvjotoHh1UWqyx9dgyoa0E333nnHX7wg+/z1jtv8/TqCQC1lZh1ffWUFBzeO6L3xOA4WcyZNRU3N88wKhDnc4IT/ujNs2t2+x6la+qkcJlr1fcZ+U892kQ0cu/tOkfoA5eXl8xmc1arFSenZ8xmC2IwoEQy5Pp6zfvvv8/bP36Xp0+fStJqxM9UJY4m+ISHd+/ePS7OzgYu7Tg4IKrqhGyB1rYZTW+zJY0hDhp4iWn1U9ctTdB5PxFu1bOrK7bbNV3XMZvNDpDBssdNuVdl/Sg98q2mcW/Yq4/a9p+3NqfHsDYnwMfxmnl+jz9Mmqbr6Dbu4PFrp5QOYsrx+zmoF48Suc87vhCJlbtFi6UcRasDeO6EEuPBIppmw0wSq+PMV+WAp5SY8YpZ7piJSkclkWIYeFgacDmYpuBREZQKYsaatHCLhvdnRFuqzptH50BLoJ/NZKLD+Ui/77h89Jj19TWb9ZrT83NeefAyVVVxdXXFdrvHKE1T1VRGSJYGRW0sTkmSkERoZ9DKIcTh8031Ng5Uehkh+pvOLze9f/mb90/+SfA9xlS8fLb84AcPn/ybNy79cFmbZ289vvmT8p69DcUMN/MudEz87geffONbX3rwO2/cu3jknOOVsxR5FJAAACAASURBVNW1IvG77//k/rZz7d/6jT/1PYXiq/fu3PzqN7765j/+3R/9zJ//9h9/mOoqV/h5JHv4V6BynTQqSmVEEqFLpdVz64GcWCl54PD5QohDgCgcgoi0f52L7DtP7wIBI1wVFL137Lue3nnaphnOV0INFCXy5JiIgioxr51sUrKGglT3RklipeQ5mroaxGcBKqtxfcLF7Ok3aP3k9h6lxQhZRkdagd7j+57oRnXmMchpaScaQzLFoytX/nYqaUKe4Ri5QyJWPwoPEsjSmpqkjfiy6clUbbkOk3s2kpHTHKhRWgoYbQafRI2gUQGFTYaYstxDSsQoE2bBZweABEmFrCdXzk+c8Kn8II+S9r0ktkqhlB94fVpZ7t0/5+z0Lk0zh6RJNHSuz9y6HAMiKBVF2HE4QqZRKtAaXZU2MCAqI2JTFQPKuQEtTtWopB68qF0nhVjj9D3Bj6hQzFzIwsFzbjIMkXlc1lrRaQJSGm2JyjU4PqYJzTSJOkasjjefktgVtGRAbAGMZj6fS7IZRtLztE1zWAxne5ujBHC6IY8yGZnplQTpJcnAy2CC7tzQvrxe3/Dmm7/PH779FldXua2s5bl0lhe4ubkBEr53rDfXnJ+uOFstSTHgu56mvaEyove22WwILuJ7z1btSbHH9cLBtNZS1TV1pQmxw3mIm47Neku363n5K69Lu65p0MqK6LRp2Gw2PHz4kI8efjy8R2u1mL9nfao2J0fyO8vFxQX37t1jNpsNos/eO2LImmEJ2rm0nUtCJZp6FUKGL1POh5w2axKVEs3DGCO+74brIMMRaoiTfRjNoPd9N+ytJX4M3oB63JsLGqrUyPO8LaG+7ThuWSs9ysS8KJGZ5gLTVvMxMjYtGo4fPxxmXK/HxUa5T6YI7nRffdHxhUisAu6Fv4tZvO3gRORvYzocxT5IrGDI2I8vrAqjHUcR1gzlokTZxTSgUhYEK7opBQqME9JcVISYMEbaQgmDMhXGJmwCrw3VTFClkMiaVK2QpHuZEknrjdiLNDMUhu1mz9XlNbvNlqaqBx2S/X5PyDYcFeC9QyvRxYkh4PJGljLioJVCFV0Te3ipayvjyT+52X9tbvUnM9KNVDOJV8/aj693y9/+/seXfz7EVL9yOv9dvXN9a/VGXNhLZStinJu+Xy5rc73ZbPBNRWUs1hg+vV4vt12/+Pf+i//23x8uXUK9du/8Ex8TIXumkY1eSWqoVkQfRpjpmucrjwSDoXWx0Vb5Whdejk9jS8mHbHUQpRrddj27vaMPEZTGR0nwt/uObdeLCoe2B0lHigimlse1ktJCLM7LK2kluqQ6oTzoJKKvVgtR3yRoapu9/OTQSTSoSGFQli+tS5UENRWC/0EuI+PhmZNR2xafFJKUmoNApbXG+Y5i8aR1CTohB5J8znqHrzzaGlxKWB/AJLSKqM4R1A7TB1JpIR5NWZZ/U0Z524yw9lmUVtoRNTHK1FwIga6XEfFCyhWrmJC5/2Xjlw/dBzcENEPmXJRiAqhz1R96N2jYOedwvefOnXu8/PKrnJ2+xGJ+QkhGSL/bbpgCTRllxvBcEC3OBqUdL+/RDUjW2GqbCmdONKVyG7VzPTHK+6LIViB+pbvdLssxtBgjibV4OmaZE13sbMaiKMQwCH1OY9/0vB2vhWFTKGio/JE4GuTn9s4RnQxc2BjRpS1pLSpJYlXus6L0HWMc5COmfJbxJW7fZAuyMD1f001RqTxVmtG9ppFk+JNPPua9D97n8ePHOTmL9F2Pc50kOE2DC4HNZkvXddzcNOz3+4G/t9vtqE3m9ERHcJ5qeYF3oFLIA+Gapp6xWCw4O1+A8mzWN+zWN2x3Hd3WYW3L2WolMd9kEnhUxLjl6ZMr3n77XZ48eYJSisViRlKw3wifbj5rRh0zI2rrd+7c4c7Z+WTSriCeHqM1y+WcRZZ9KerrBVUk8xfL+piee+k8aOa5AHO2wntxtehza1QSegdGD4lVjDGLKusJb9AOidV4rWXUJsaCfCqseV6k87ZEqVzrsg7iC1DY5/b3vF7HNTfu90PSHuOtjzvMJ24Rps3HFOmftgF/WrL4hUisfLxdVVkpRQzxuQ8xZOHYgTujVNl4bvngR4SQ5PUwgRaPAqGgX2mwDxpxL0G3Qt6shfAo04RycRU+ZWsKXaEqGcM2OqBJuASqj1RVQ4PC2B69s/S9eI1VVYNzgUePnormT54CVErheydBoe8GBeiY0kCqLxuJUj1ewX4XiCHI0HYh9FYVRlfDOZjPZWT36afrr7+ybH5HJZk0sVp0mf74y6e//53X7v6+UorHz7anD682v3gxr5+WCjUxwq2ttevHN5vVervF+5qmEr2e01mzXrbNzX/27/zF/76tpM0xa0ePqy5ErNJUZNfxKEkEWuXNVW4an6+DIopon8q1rVaoWG4STUyBmCKBzAtKCZ/ikGglNH0QyYPtbs++C/Q+0Dkxzd2uN1K59o62bkBbfAzDV8jeksWwWYJXEl5USe+yeF6jE72z1LGiCh6TFDbKea8nSa5zjujknJbJPgBCJJYEHzBGi5+aigO5N3pJLgqEXwJ02chjrI42rCKYmtcPgs567+g6LQGVRB/zlGzn8AlCRqxcjINgZR/HZKr8W753zon2mT8c4z45OWG5kI1kt+24vLwkxoS1NS4k9nnoIga5niV5U0rReTcE30GAtQR+VDaSFf2fgu4YrXnp/iuc33mFs/OXqJsVfSej+Zt1x3a7o++lpTqbzdCVHs4lpIF8bzOPsq5LsB75Vp3uBkKuMQaNP5ApEKQlq+X3fkzQ80QdUXwHycMQ/cQdwVqLQcs0cArjMEreuMhmxlOO6SToASOXrnxNq+1pAjSdsiwIUdlcy/ksG19Via5bJA2DCsd6g9PnlWtmcPF5EcrymrehbweJf35dgKdPH/P+++/z2Wefsd2uMbWs867r5H1ag40NSpt8b3sxqddqaF3O29wFyBykSivaZUWla6pqhtE1dbNgMT9lsViwPKnZ79bs1J4YRal/1i5Zrc4E2VMWEux3HZfPnnJzs+Ozzz7j4Qcf0rltXkfQ+Q7n+6GQLxyypmk4Ozvj7OyMxeIkJ85OhElTxOYp6NXJisW8FQ/YehTIniIr5doddHckOGEzRURjWC5F3+7yyZNJYlWTdD+0H+X6Feugklzp5173847jZOS2BOsAseJwDR0/z4uev6Cih4n57c91XKTf9pzHyR+M/MjSxn/R8cVIrI5g7eFEpEMI7/jEx5hbNPJD2XDFVZkwKDXHA/4HCNJFUMLlSGPiJNkZqBSJ2aW7KACohCAHygw6G2IlkgBFn5VvjTaQp7rEWy2QtGKWDD5kDlFMaFNR1Yl2doKzshmst3vCzYbNbst2u8V3PYSIyxdS5/fosr1HjF6QFRQpTxZqrQdUqwT/4oNn7XguZ03Do/X+JR/j4o2Lk3eTd0ARnwzmyaZffeni5HLdh+X3Pnzy66+eLn6waGxf4PqUElGJd9bP3jv7g+8/fPSrr6wWn/zsvfPHD/fdalbX8asXq0dWq/6/+ae/9e2//ks//3urk2V88+GnZ4Fof/lrrz/yugaV9XBycqVlBA4VZdpIxazpUyoQDjd0bpmK8jELGkax/QhJNq8QnSRQ3Z6uc+x6R9cHNjux67l+tqbb7zMZVKaFpsTuApVLMFTESjS5NElagXnJlXHnqjfYqLFBUycLleHsZEnTjAmucx0hekrjTyVBwcqKNRQiexIen1IoFTI6N26CBakCUWPuO48xffahmwjpqWyAa8xwP0Uf6OnFqzDC3iecD+x9Yt851rs9N7sdm+2ezVa4eTv3Ym5PCIGqqgYidglS9+/f5+WXZSO6ubnh449/gjU1VSN2TU+fXkoLLEg70g8G4RYXjozac+uv4GZFckMpxbxpeeWVV3j11Vf549/4Fm+88QYvvfQqbu/ZbvfcXG+4vt4Mfo5KKWobScHloNmjQnZUsOMAwNQIVoobUMYKNzAT8quSYGkR/IyBPAk4cqqsqXKrUXqxKQVMNaIE5TOXz1MKp8LrTEnWhFUa1CFaP24G44Z1bHVS2nrH7ZFyFHJ6ab+VNV9VFSrJ85TkqhxdN7aW5NWlBaiVyrIGSRDYSRL13MZ/dEwRq4QkaTc3N7z33nu8/fbbwjcyeniPwOBg0PkgkiEJlJIhis55btY7lHrCyWLO6ckJTVNhq5qmqZk1C2btklm7pGoWzOcrlieyXn3Ysd1KyzgGjTUtJ/MFp8sz8fjrE93ec3W54cmTZ1w+E12t9XoNxkMSMdnOd4PECllTra5bzs7OuLi44OxkNSBR5Rw0Vc18vqRpWlYnK5paeFmlVTi9/6eJleyh4/CB0nYwBC9IV2Us3W7UpItRJFgEJXR53eQJ74k34PQajXt3yiBHoXUEjpOp6f9P/33R9b8tGSu/K0f5+TS5n04L3tbi+7x1V/5+PLfj3/5LlVjV6nTgkwxtirxhGiV986JJVf4GIOTkJ992AIOUwj6GXCXUuGF6SoKCL2J1MRGCVIgqVwi1rWR3SVm/Ko38hs12Wg2MI/+oXNnFPN5ux4k8ac31+Oil4u/2xM7hnQMXCPsNwTl67zFZrM71Hd51VDNNtxaovaoNIYgRc1tX9L1HJ51bl+IUH5IYF6daeFYulkq5p+s3bCcT8k7D+9fbr58vZj+uF63b78EEAfecC+b3Prn5je99cLkyWrmXVrMf/fIb937LKA7Qqs7tCMny819+6d19iM0/feej3/gHP/pg0Vbm5t/42S/943ll13/9T/yx/+V/ffPHv/q3/8d/8DdiSuZsMbv6S7/4c/985yK1Cjk50GjNwBWKSkFviFrLqHomtgP0qaNMaqZsWi1t2kDIwSQgIpp77+h9EGf2TrHdB7b7jr2P7LvIzbbjZrPh08eXQkgOUhmayabUEbnp91S7De1+TjVvoNIEHcBB02YF/jBOlzifhORuatAdbWPxcYdK8NKdJffurOChXIeAImAwWqGjp9KG4tIu5PeMxCqX1dFzcDGapCR5jDESLaLtVVuSTnT9Dk0RDUxoK6T0KMQVqBUhRlqTcLFHe49S0IdIShV7H9l2gWebjsfP1jy5WfPkas3Hl5cobekZEyadW5DEBFGq4JQSBC+btNszm83Y9VDPKs7Pz9l2sPOK1WzOycUFu88e83S35enTp5ADY1RjkqactFkaW1FVDdFnFFbZYRM5XS45PTvhr/2Vv8qv//p3ee211zAhDffhk2eP2G72YnpdQVsVrkiFUoLceTxBBVIeqBFeWZ35dTJsUT63yWWd1YqmqtAKqOekjLJ2u24QYBUCtMLamqZZ5MRDWljYSdzKGmrBl3ilaZoZMoDSEXKCaYyh0pqghPQfVBqmwZQSLqIkVHYouKYIQ4rPbxxKFYNzB1HWc5kkdtrTG0dVNbStysiV4eRkQRG6BETLLipC8hhdDXEQW6ELcpyHYcomXdDWoVhNCnEuFXP7qhVJmieXT/nR2z/id373+7z5hz9iryBaCzFhbJ5gzRIBne/YdyOxW1FhgkYFzU8eP+WTR085OzvjjTfe4NWXX2W5XHK+fI3ZTFp/bTv68XX9jh+//zZXV1dcX18NseHDR5/R9z2fPpaJxJvrDdv9XrwAsw5ZamqUrlivr7i5vkQbsdYxJoEOXNy9y8svPeD8/A4Xp+dcnN1h3i5orfgFiuH77ICgjjkePBg5QqOROPlno8Bro+f5e08g0MzmzOoFfR9zct+CNjgna1auR6Sy0NYtTW2zFVCE2hJTRjpTQU1TLjQhwxCZshFlSx3oClN1OYb3HoqEpFaijKvEMzYlkWrRQDqWcpg8UciaLCkmVFKYie0YcFDkFfQzpZRtmHKrOqpsjzYWN8UHNCXZf10fBqmbFx1fiMRqvds/l9GGdKhRVZStp39TJkpSHsmeEtCLw3ZKic67obJPKaFCrgBzb91ohpvSuw5CxOj8mn4CX0+I0yUxK60Oo0rWLHyZciiV6J2I/tkIFdmLMEoFV0as932PdlKldG6P63uCnZL4yoj2RHAxSdtSeD9SJSilqFSV1bbHSlvGxMcK1TnHr7zx4H/XWvznqqoiqAQh0lb0f+pLp/+D1pqqNlTGyg2T79l/7St3flsCvSeEiFWeX3r95Td/+fVX3pSFKkrf0XtWTbX9t//EH/tHjbUSsDLp0nuPUxKMp2hASYBdCtiymhFSt4qJ3uXEKobspyWtoKISHJBkw4dAHyLOC2rlusSu27PdZ25b17HZbFlvd+NGmUX6QibMhuDwXufvxUam8JqUSrR1M65HrQ6QgKhG4U+dEp2vIMFs1nBycjJch5QSWuVzcMCPykMUxZi6bDykgVczfY7PO8YNtKzJCck4xIO/y38weZwIDjZNw2IZmO33eWZzon1E1hzLiVWVR+9VzBWuioNI5nCuKzvwROq6Hb5vmgaKonYuWKy1aCyqLu/bsJjNhM/hA6vVCq01X37lVb7zne/wa7/2a5yenrPbddQU7aeYtboUdd3ke0im62Rzj8M95r0f7J/KmTVGOHUFiVJKoWIQdBg7tA0HGYkcG6ZIZ2XrARVQGWIf4ltZC/l5yoj7dDOYbhLq4BodXtdybYc2nDnk3ckfy+dNZKHR6XpB0N3jil/U8MtEmMJU42BMXdfiMWn0EIeG1q0xhHi4zl6ECAyfKZ95nyImRkKMXF9f8ejRIy4vpRCKUVB8JQFcGB9B3pMLAa2L9VCWwYiStEn7csfl5SWPHj2Sib6TE05OTvIarAbi/r7b8umnn/LWW2/x7Nkzrq+vhpjf9ZKk7538K1OlsqYwkhiG6HK7d5QeCMGhtRlkFc7Pz0VeYbFgNpsxn81ZzpY0dTv4xJavQrQ+PMafTbXtyu+G75MlpUAIRZcpEGO5rjH/joN9VhDO0eJoOvjweQ1A2Zs+H438aT+brnFB3z4/zk0fN0Vxp+/peE1Piw35TOq5v30eDf7pxxcisfp/fvt3BsJd5DCgDAlRblOV34GMlpdjnIaIg5N4SUCKTcggMhbHiR+t0hhEg8P3jpgCjZZsuaAjAD6v2mFiIxsi9/s9y+VcFp0aCfeVkUXrokPFxKxumFcNbV1hknCwCgG263fgMirjBWVyGpzrKVWyL9pFQV6jjLzKghj1nWLmUhkAranrOhv8jvDl//x77/+t/7+v4786/r8fjTUkbQSlnQTFIjyrUhgCigSr8W+mldiBjgyH48pqGF8WA2ydpQ20JuufHSqKJx1Q6CykKjBmXVfM05zZbI8PAWMysjBpwakkoqZGabkHghFzdNUM7agSyOq6HvwXZ7PZsIG0zVysivLfuihJf1Ihm9iKNMZ8Psd7QcdWqxVfe+Nn+cVf/EV+4Re+xZe//JVhPD340Wy7rhuqqh4mRAVNVvke7IbkU2t5j6GkP0oJ2qQ1qSQ4MQ0K+VprdB6bZyJoWVpUMUZIhzyYwl8YNo985UoSFKN6buKuvK+DDWLSfpkSbcfWnx1Uvcu6kbXEEEuH6z7ZhEqsnSY/MUaCz21prTFRD1PbBXmyzYiOlTUrsiRTHu3hhjf923IMxXOUDd/HwNXVFR9//BFPnz6RhFsbbFU4YzIRLRZaCb/dUbwXvffUxpJqIZYvFzXew2Zzg9afMJ+vODu7y3I5H4qj9eaa9XrN48eP+fDD93nzzTfZbG7Y7XbC5YxxGFwwtdBSYvY3VRTtJ0VEZDhi8GIzpQ0pt0RPTk44O1txcXHB6fKUpmkHlOrk5ISmLihVNbThouJgDch5mkz6quNzO4pmpig8vvK4Y27esK8OYpyJqmqpqtHc+UB+4+haiQfveJV/WsH3okTqeD1Mf35sjXT4Gs/ztV60rqZ/d1Boptsf93nPedvxhUis/v5v/pN8c/ujG2pEn6YLqcCBYX/ILyiwZ0rCDShHEdgLkwVl8omsCucgiWSB0lKPz5sarcYTaJQIRyqVOD09Zda2gJjL7rdr+n6PSjBv801gFSFKe0Tn2WGV4dIUxFSjfOYY/cAjiDHSOUGxejWdklGI79uxQFkkJanYpNEzTlgopSYyANVBb/xfHV+Mo24qtDI4B7u+Q6mAUjKmrnTKBtUT3Fkdqg/DYfV1EJyKf6MuFPgcaBmVhIuflyCwgRQ1WllCjMPELGRdtlrRtg298yQ7UTzGZB233CZLkZSMSH9o4UHZSgoVeT+WqooH4+IF0RKxSZPJ3QYbZdIpBMdsJmKIRFnfs6bm7t17fO1rX+PX//R3+da3vsVsNqPbSxtDyL15wABFXbfD5w4+Udk46FJNlZ3lNeJBwT0Wefn/vaCYTVXTtm2e5jMELQM3gpoKik4RHNQi2VFa1kIjGNsp5TrI9Rqn5eLk76eJTkoZvVRjwlWQpZJY2ewcMH2sfJ7nN4dpMfsi/lXK9i8A2qkhoZpqb8mmeyiTI+/f5PV9uKEKUl0+UykgZC2WJC64npv1NZeXl2y3a6yCne+heNelw0m4umrzVGgg9pFgQpaqMKTZEmtqvI6sb7Y8/PBjTlfnfPvnenyA9XrNxx9/zIcfvs+nn37K1dUVT58+xgc36SCIu0FJdrWGZGToRlDPMggVCcGTUhCqQzaDb5uK09NTTk9WeahjTlO1zOcts1kjQy51TV01B0hRjOFgXRxbrhg7TjLLz4sx1piQybUuYrf90MYdOKSxGLyrgXQ/TaqKI8aLkothn558f1uydNs6SCkRJzSDchTE6jbUaHi9W4j0tyVn0+9LbDxOmkrn5Pi5poXI5x1fiMTqR+++e2sG/dPgN+WEzDnN4HWu3mSiweYF6YbnLdwNrTU6RbyRirgyGpSlMoZ5O+PenXPIHCWQhcXQmjA0dYM20NgKP2vRGoJzzNqKtq2x2sgYPYjvVkxZZbcESJm1Kp9Zay2chuRzC6onWumfSwXsRrE6xmpbgtUoqiPnMYz6X2mUktAa/uLPPfg7IcgkocmV0FCxONjtpNIrpPCYBwuqqmJWS4+/PHe5eQ3Ss543NW3TCE8oJlQIwnEJDoOQMEXGIsoUzL07NE2TE1FpDZm6GtsqWqZYBqRDKXS0wiUp06JREm0hqydRTQ8RH8UCZtd3bHbi6r7Z78S6phfNopAU2pqhIqysFnX03YamqjlbLWm1qN6fnp5y79497t69y+npKcvFgsViNgScOnvrpZS4WT/LwwbQu61sRm7PPjg+vnG8+/Azfv+dD/jBH7zD4ysRnE1IhRhij3IWXSlM2QhTbgsy3h/jV3ruZ4JIjUhmCRApMQwBhCBpuJ48NuaWizJy74lmjUJZhYmKShlm2c7CTYoOQa1MbskmjMqk2pCtW/Qo1lcqZqP0BMUqnCU1EKNBo/I4vNGWujG0dYPNsgO1bbh79z7f/ObP8Wf+9T/DG2+8wcnJCfvtDkGrRdzReJX13qBt7YBIRJN1u4y8VlV1AxdLipwwJAhoaYkCJB8piFRKidWyGbSnQlL5HhXEWRCnojQ/adccIVDT8z+NgeW6lTZSaQ+W+1VrTdboGBOtSWJVFNEL+f04sSqPKTyocj8Xfk15zJhMyHkYJoNzkj9wSVMaru/4frJv3XMWO+poHTP8PE3WfUFH+r5jvV6z228gJWylaZJBGyHGxyQ+C4X32lb1IMtREsW+9xA7urbD2orlsqLrOj777BGL9sc8fPgBfd/z+PFj3nvvPT766EPW67UU6r6onZdrWPYoSaJK/JUp88wJRuU2a0SbLPprhJM4m824f+8OFxcXrFZLTuYntPUsW9MsmM0aqqoZkuJhjYQCIJR4f7jBT9fGuJakfUuKOaHqs+Btn1uqMiCUEgNPT+tSTNVYO0ppFN5RuT5lXRxzu150HKNSzyVPAOl2NKv86CAJIh2s1eee6+Dx48+mqG4IhwniFNyRx40DK6Od1L8EiJULIylcNoVyjMrb06N8qMa2Y8AOE46C1tQ1w8ZSNJ2G/nA1boaLucCuq5MFTdOwWsw5PVnx2pdeEe+u3fZgJLbrdqxvnqGUeCppmVLHd3v2uw19Jxup7/c4V5IT2UjGiSJfhhgBchAUTRtUhc8Xr0xLhhAGk+CR6AlGV2idGCeIMo/GJ5Qdz5VKaWg1CF9KWjlGHVbJWiuMknZRGjhjwhPQqejnmLzABUWLMWF0zKib2E7UymCMEM+Vc6RosFqzaGpqW9FUFbPZDFPVpCActKQVwXua7EfnvccqTZj09o2WacHpJGCZDosx0QdH5wLbvqP3nr0PbHcdN9sNn15eDkEWY2VTA1I2tZZ1BEULpm1rafnm5LgMAQztGcIUNaZIcqEU6HyOtZYpAQKVqXEx0djI3TvnvLLd88njJ1xv1mx3PSl4alsJkRTRcprC7UWpXOtJIlTuB8WgNTN8qXEKTGUpCsjkTJ0TcyUyDsN9ldfLoJSus1kveaNIiqrK1fN0A8ybWdEClwJH4bOOvq4qQHS5ho+jZK3ljzYEubauqWyTOWpZFFdXmGrc3LVWvP76G3z729/hV37pV3jttddIUXH9bJ3tQaB3ct38dkTBE4a6KZUxKG2wtUFbQ0gRvdlIq6dPRCcXNBFlrU+iUpFNKEmMUnpo0++dH3haZXLosFofv4QXeHt8m96XZforTPhw5TozSVpK/DtMrKohmTxEusfrV76GQqnoGcEBT6wgnN57ysjQ+LkmLgJp9G8s3QLnysTWWAgeowclrg3PmRLWaHz03NzcsF5fo5MYISuVqOr5UFRJbjBBRpA2ISkjan1PCJ6ui6zXaxaLpfD5gN16x8OHH/P97/8LdrsdT5484dGjR2x3m+E8e9/nBNXkYiYyFaAuxXKe7ZWZSC08Xm3ARkApjBKU+uTkhLt373J+ccrpyQmzdsGsmbOcL6nrdij2jlETSWTT0bU8XDfHKE05vPd0/Z59tx+4on2/Hz8Ho2ej1qMqvLXhdqSqJPnPEeYPEavpe/9pCYnEvOdRp2nyfZhYgFhShQAAIABJREFUTV9zfMwU5T1eY0PxOay553XXyr06vXf/qGgVfEESq2beUCbtDLc5Zo895OlRJzss/BSEZyLTMma4yWMIGF0JrGozMjGbZeLgSZ7IOOfs9ITlbM5yuWAxn3P/zgXB+4zgOKw2wusIPTc310S/z6bChtrC+uYZ2+2aj97/MZ999glP9zuZMrMWkzcjm9t/zo/tHZ3I+i5KiOgZrQHo/cjjmF5UaVdUWGMnC2QkqDofZbNSGm1H49aQCgl3ssiDQ+sKW1lpA+nxXI8B1zz3+tP3lBSDaTUhkGzEYKm0obIKY2rauuJstWKZFYoX8zk9ErB3vTjLKxLJ9bjcEvb6eQ2eCnsYQHKQ8TGw3u7YOc9mt2PbdWydY7vv2XV7ep8Na5XGaCVj8vkGs00tKt6pJNAS+FarJSpImygpmRoN0Q1VXUm4ddY3I7vDm8qSgkPbzG9IBmUM1ges8pzMGh7cPefB3Qs+e/xIErYciY0SBFDnwKRUIouly6bJYaA6DhLTxGrYfBG1dlQaTLILzSeZKZE4ggro6InJEIIjpSABDRH8q60h2hyg4sjxUEqkRIDc8obK5oCWBL2tajOiYEruUWskAWjrilnTQlTUjdhrWNMMm7SKgk6vlobV6ozvfve7fOubP89XXvsZbm5ucC5Q2wpTK66vr4fx+37TDYGw69xks4rD1NdUPqDwv/bbnejWhYCfSktkLSSNwuZqd5dFJ4P3uJhuvVfGDS8dBfJDX9PjzWeKxsd4OH4eYxx4y2MiM94v8lnNQdwcvz9sfUy/yoZakLkiIJmSeEbKBmwpEILSDAhpN/jDHcYkeaGyAWtJQtLzpOCDz6/EB7P3HdfXV/T7jsViRt1oXAh0/TajCI6UxCOvJHaVqYfndc7Q6SzMSkFOA8H1GW037HYbfvf3fzDwsoRL5WWNKBGOTTrJF/L9NPaOHZNEzNzckIS7V1uD0lGmF03FarHk7vkFFxcXXJyesVqtxF2jqqmbirY65DINtJjhPj1cL9Njuj6mSZZ8Lj98Nue6w+Q/+0PJ3qKH168qEXs2pjpYi8O6joevPz0CCVROfsp7P/qbcTlK8ZJSOiCQT9fsIcJ5qFU1/by3xcXy+GlMnL7GdP296Jiitz/t+EIkVndXJ5P/m4ySxjGwWCscDNeJRlPbtoMdR13X3L9/n1kzG6Y7Zk0rxMWu5/79B9y9e1cIgVVNe3LBfC7I1OnpKZo4bNBK5c3aC/dJnU5aLQgU+PLdB0CC5ACPyG17NpdPefTRQ24ur4gu8tLdl1jMW7rgIUQuLy/Z73YDbC5HRuqswK6mqql1jfaeRWxRStCF2Ww5BDetddb6UXg/wvAlIM5nJ6y3ou6rSOgM6UIWIAxp0BiyVQVYVBSpgba2GR4WlK+pDJVRw8j44aItQTuMCW5KBOehNlRGczZbcLE6YbU8YdnOaKqa2o4wrNY6136SHHWZ8LvebiTh2u/oUxokELzyQ8I81Zjy3nN1s6Zznm0viupeJSJaxoJti8YMAp7lMzS2om0qQhBPMW0sy8WCO2dnrE6XhG47TG5u9xvW2xuWqwWVs5jeDkEjJhHRtNZgqwalRMCzaRdELwbLsYK5EaTo7umMr3/1Ffpuw1vxAx49ecb1ugMUqCy/oFVGeQSJDNFhrcFYk4ckJOC2bUuqpFXWVBUqRazRzGYzpI3SD23K6eYZntv4c7KMbCC2MqxsRRsTLihcjNi6IgboikZN3hw1CmOkbUFMY0shpYFgrJTi3vkZtVZUs5oUOk5XS05P5vTbLQ/u3iFG8BEUVoQajUEry2LW8Oqrr/KNb3yTr77+MzTNnM16x4/feQ+lNLPZguASV5cbttvtgBqpOCaYV88uca60ucaRf1tplsslbSsitst2xslyRd/37HY7nj17NiJIKJFkyYfYpozj7sZauk6QzaYt3CZp6cdslyPadwVdYngf5V+tNSH4W4qpQyeAGCM+iKxBMd0eVLHzJGcZ4jluM0oLZBRUnPJvpslNeb2p2OsQC8w4Ceu9x5qKuNsTvDhRSFIgMd3aWqbzYtFUK68x8qtGxEsN7zEpIa1fXj1hsZzxM2+8MQpV1jLlJobQcs73+/2gG+b6gvTv6LoqT34mqqoeilevoapbYow8efppnvhVWbNLsd9v0RpWq1U+F+O0+oDUqZT5iLlVaxXaKLR3qNQTvcZYRdvUrFYrXvvSl/n617/OV1/7CvN2xmJxQlO1IsVha4yuqExNjBIXpwh1jBGtJh6UE2RTEu1xijzmtq1zTs7DtjtA3kESqoKEFxss0cgaPQzLtTxOqDR6ohc57t9ya8nU6BQJHfZRNerqTdvMwzMMnZ0pSi36j8dxrPy9nJ9DDa/y++n/Tx9Xnn+qGVbakOVv5PUOz/Uf5fhCJFbzNiuHpxIYstdd0rmnKR+otg1UzWAzMJstWCwWnJ6e8vprX+Hs7IzV6pRZLSPtfd/jeyfkwOWKWd1kjlWbCbKGvEMJWqSA4CAkootEL/osMcrEidYi3mhNROlAjI4Ue1TyoCKf/OQnvPv22/S95/7de1xcXND3PetNlzdnL5umnQRiY4jRi3lpCYpVwohoVSZcehQWo6shGOlG55sjo12UiSJDVVcskSQqMsLyMhWoDgJqipE0cD4OeRDH0OnQSp0E4rIYx4kyPQnGkXbV0jZz5k0rnlbKoJXBoJlXMkGEET5NRNpakcTls2dDkCywddd17Lr1Qa+bUCY/PcH1xBQwKqKVyDEYnaSlxMg9sNZg9Ch02FgZ7Y/KYq3hZD5nMW+prcE5TdTypYEUIsEdbnrSwh4DgzEGpSs848QeJKyyNLUVrz8aLk7n3L1Y8dlnc26erem0Jw7SGQqYqKXHWDioGZE6rFit1WgDcBjE8o01rO+S0GI0OiV06IfgDYXXE6FsdEnQKh01JiaMSfgIthDq44hYmawBNlS2hEEyQhuGzdNkbTKjNJURQm9dGZaLeUaHLNbUpGiZzRYsl0tef/11Xn75ZV599css50uurtasb7bs9x0XF3fFi6/fcXNzQ9d1Q3DUscrojUIrS1WV1gJ5g8lrKazZ7+1Aop/P5wPC0DTNSG6XTztpA4/3ckwpmzwcevGV35d/p1W+1pEYD++1Fx23Vewxt1eLSna5DqUgmxrOTyt3siDv9DVTKjHp+daOMZqqEqcIpWSQpkxvlo0vxULEH8/NsATVSMAuPMnyu+N213CeUsL1Pc6LTc1LL73EYrFgPpdY0rbSyhN+pUzflSLo6vLJYGGz3W55dr3m2bNnbDYbdruOktiG6A7iiaCpo7q+KLXXAwWjxL6DIxwii8KUyNwqlUBFrJJ1dHoiU4B3Li6YtzNms4XERSt8uHINJaYfJQIFMUnhIFGYnq8yjFJoD4OOYdeJiXjwwv2d+P8Vkrp8n+PjpEswXZKf18ob1lr++zh5f8fI7TRR+7znnD5WZQrKsPZjPGg3aj0l9TOcB2DgEZakbjzPch/c9popMQys3FacfN7xhUis7p6dDX3j2jZ54crirW2Dz4ak80ZGs8/P73B2dsb9uy8JnHpxwf379zlZroa+uZT4WRjUNmDMgDvqWEkUcX6whZEFmTWRQiRkEmpwkvF77zPxN2GsJFYqeZzbEUPPk6ef8odv/ZD1zZbFYsHJySkpKa6v12zWOzbZH6rweVBR2BtGDJvrtqjtRlwMoAONrofgKAF+MlarNeubDTF0pIMNV2d0r8YY0WgylVSCJlcqaRsHLaQSVBRgjUKrlIOBwLiyGR9m9SVARiX3UOocPkWqmAmQeSGWYF+EClNKuFzVoQ2uk+CsilZKZVF5Iuylu+1QWTknlj7bzYb+UtouTPwey2uJwWkSblXfse8cXQxZ+FXWhTFQlcChtXyvkPdhxXJndTJj0Yq5cao0CUPCQJ7MdK4nOE+oCzGWg5vO2hqXrYtVSCQvCIVRhpmtcaGntYaL1ZIHdy94dP6Yy0dX7Iwj6IqUAjo7Biil8nRqQKlRjVsphmRFa6hqsXBRyK2jtRL1/5RQ/nk43FRikpyiym1QuWcEmWXQB4pa7EhsUoSk8AFSUjhV9N3GNWnU2F5NKQi3L5OKQarj2kq7k+jRRJEkUYmmMsybml75jFa1BK85XZ5w//4DXnvtdVarFQrN06dXPH1ynVsiMsXovc++f7I+RGgVfJTJKZPRFV3aUUpQk6JR1nUO5wKdFf5huVelRbjEu24Yry88snIkssl0butHBcpWRFTewBg2m5KAAdloOKKzxtJ00z7ebEoyeJyAxRjF/9K5g8Rq2tI/qMgPnu/2ZO64pXL4nIJgxGiHaceyYbne5wnrNCRpsn7NgG4ZU+UN8XmEYvqZx6JgtENaLU84Pz8fhgXK4M1gDI8Uj845dluRRigeq5eXl3zyySc8efKEP3zrLZzrhuSzbL7oUb9qasV03HaaJglSnAqNQ+d7FzVOrltrhsR0MZ9x584dXrp/n/t37mY19Ya2nkmcVMf8RUhZNBMKBxIRyzw6Z6VtK/pko9xHSTS7bly/pTNjjM5fJqNTh63ksTg4bLOVlu7h9TpM4KdJ34uSqOP/H//+9had1s8/7+GaPeQRTt9zSaam1/H4OUpxOX3tmPe0sk/+tCSwHF+IxOrLX/pSzsTVsAGCRqfc8ougEG7F3XNx/z47u+DO+R2Wy+VgCgoQukPtF6uNrM4+k3dTQomE+BAk8QHvRMPKqBGVSEmUh33v8qIs3kk9WgsfpXdb9vsN773zLu+98x4nJyvm8xmb7Z6+E5Pl7a5nu+0EfciCkVoZTK7e67rm5Hwlwck5VEZpKqvwZiSOFv6HtRbnAt7JxmbtoU9XYytMXQ1wd13XRBJdtwNknLgssn2G9WOMKJNboRQbGRH7y6DtcP5SSgd6KlFJmyNMs/ncIvIh0QfP3vUEJ8rOtdFEKxOSBgnEkYRXCUsS24zc1mxbaYfGIMapve2yXo1UgwUCd87RO0fnxbZmve+42W3ZbPfsun2RCKOyhrrOVRmKAlrWRoQB27ZmOZ/RNhWQiMYKQT6MlWAJUiWLnFYzpY0RUpKZOyUcDJRY9BgNmkSlI8u24u7Figd37/Dos2dcX+7xRhFCgcrFyqfsykol4bOoQuRkUGEWKF8+i0bn6U2VCc8j0VbpiWhkSqA1/YC66TFpyJW3URqjlGhtRUPQEJWiViORdYp2DQEraZH/SIaURumTxtoh0FmVqDRYpZjVFb01GAwxiOr82ek5L730gPv3HqCCZn21Yc2GEBL93ovvZt3g9p3cD12PionajK+RMgE/aYWydqjoQVE1FToEcI4UehLgU5JR+fWOqvLMZrCYtyIinDfiqOPQ0pKkOw3XqKDrpdIXKZTnR85T8sCoGh/C2NKYBn5pCz4v81w2JWtt1rWLQ4Ehzxey4vohInSclE1/Xo5py+R5nsqEpD7Jx6YJWIoxT2KKeLEUcSoT6QMhaJnEUrdPV8nb1flzyLpcLpdZSPMcm3XZZrPZKBKd30NBrxtrmTXz3C4NnCxPmbULzk4veHZ1w83meiiYC8WhnKvSJp2i8yO6M4oAD22nJOs2ZV1BWfcRRUaFiFSV8DbvXFxw9/yC5TLzqoyg9iYr8YviPZRkJubCQH7yIgmMsV1beGbTxKog/oM6vlJD20++9EHSPnQmdBokUiDzqXLsKYlMvmIvXJ/TtTFNeH4a4lMed/D/wHS5HBcFMT4vE/JHQYCHz1fQxslRYsVt7cfPO74QidVXvvyVIcBUtsnVW77oytA2c07mUrmenZ1xenIqpqnD21f4vbjUC5ybyeK2JlVqvBoqTxyETLIOgRgi0Xm6/R7vXK6yEynISH8IgdC7oYLRBkLcYSvRp9rtNlzfXPLkyRM2mw1Nc4ZzfuAwGVvRd1sUBlvXaCXSAnVdU7XVoOGzPJEevnMOW+UeeEwDV0R4C4bZTOwN1us1feepqzafu7FiaCqpQHaViB7arJBc1zUpKZ5eXQJ5jDslgo/SgrFF82ca7AR5KYfwCDSFeCo/y4gHmqT+X+rerEmWJLnS+2xz94jI5a5V3VVogAMRAuT//ykkhTMyMxxID4Du6lryZmYsvtjCBzUzN4+MW90UvhS8JOVmRcbm5uZmR48ePWpQWlcfoiUGpsVjmFmQ6sjgHB2KlBaMidKqJQS0N2ibozGzVA1U13Vo4+gHxcd3H+XzchmzUavB42m8sAuJcZnZ7wL39/ecziMvpyO/vJ4AcFbTO8OQI1OtNVYbdvuew24vrsvd2i0+BmFPY8yu00T8srDME0VTQSwNa1cPoKAEfGKsVGhGh44J7aHvLCp6Qsqs1bef+PmnV/70x58JKgMoleriVQ0ZuY60Wt+jXF1qLVaL3qpsytcRmrxfXvxyilPSDF5MPlOSdIMWgKOtpDZTVCw5jRVMSSfL+KgMIGubp7IJKPHRkbkS2fWuboCaHbve0VkNw8Dcj9IqIyi07vjf/td/4ve//57Hx/e8jj5rpxJ9P0AKFVCM41w3EVjZ1ZQCRjmMthSH9TJfY22xUbR+Q92gYoxMecONMTL0DqOKiz5EFfF5IwpRZWZR3PZLEU17fcomeWuRr4FK0+Zlvb4rw7gZ07LqqZyuVduNvoyDgGVbAVIr3L1mPNp5VK7POl/U5ve6STanU97bJEPUTaeLsnakVlaQC4s2m/M6FkW/CdR11FmxHyifLXo+g47CEgKip4xSqBGDgeQgiTv70O159+4jXdfzT//0zzw9/cLxfOLp6Ynn52cBWSDdOyKgFbbLWqbsEKiVPC7fldrc3SZLSd1dn0tCtKq7oeP94zs+ffrEu3cfZP/SpZBCqlRJpfo0W2vE7OulYq7O1RlASiVqAejls+Z5rqnNrf50JqVQU7/tXCiWH+0cyO1u1/mSNVNvUIdc+Xq+beAAEGvT9zph5TzVuqOk5od6f3ydFbrFZNX5GNYUKbzVVpXnwzZt2M7vrX1FYd+3qcxbLO/18ZsAVof9fb0RlTKoqHC2Y9eLM/O7dx/4/OEznz9/Q9ftJKRJCSYN00TwnmkaWcYZpQyuNzIpyeK/ssYLkYJKGcFnJipFYahC8NIbKybCnJuPNnoakAnnwyziPRM4vrzy808/8fPPT8RA9sSI1YzwdLygdcfhcKDbdaBEGNnvBSDZTjaamL1JlLa4TmNdEmM7HdDK45WvVLpSBud67u4ebnpwDE48t5xzzM0GobUImp3t6w2o81imIBoFkjROTUVzVjYFner1KZ9TqdYqLS/HKmyf50UqKxePze7VzkySZsn+VdUQMntKFU+rmCPRwEoj74Y72bw12TcpEDOwUkkTUmTodswpsJtnBjfQWcfifb1BOgNOJ2z+vMF1HO527Pd7nLOsoEARrM3eW4loIkmJS/obP5OYViDuI7GT9KJ2GqL8xJiwyTBoR/QRqz37zvHNh/c8/+7M/+X+OzMepaRtCqkwgFTavghN5fFSxWNRKnv7dA5nLJ3L31ul+gPrYmmtFcbBWDxZR6hzda0OKK3pjEVbh3EdOjf/tTE7opvWSqCpSkzle5n6maV9inw+OUJOaBzWiEC/7yz73YDCQrJ0bsd/+l/+nm8+f0ff9+wnxdPzF07HcwWQUUec6+v3KABEmNqI1o4Q23YVBq00iYQyoRZ9aL16PRUGY/Gi7Zwy69y7rkm9Zr3dNduSxFqjMHiyMAuAi02j+S1zVXQzX1+4y3e7TlMAwgYlNsL2spaez2dKC56ibav+cE17oWuW7FaqpE2r1E0pb4AVyFoIeTy1XsHZFrxZlFpTd9dpm3pe+XPXfSEz4JOsg85oxtMsRqw+CkMsiQgJJkJgCVGYTO+Z54XkpXnyx4+f6fsd58uFYdjR9wPPz898Ob5Wxq+wOSWtVhisTTCJgJwUKG0uWC0XABLJB0zfc3d3x+fPn/nd52/EYLrfV1ClYspBf5OOqg7peR9rJI2lU4Iw6KugvnTwKMy6zIW14Emp9f5vr3lhp7TeAqrrVOD1tSlszvW1LGhZabV9vHntLdH69XHNEqX0dr60QKq9B9p/BYg3lZtNcFGYyvLd1msg1+8Na6a2raW+dvwmgNW//vufhFkxHR/ff+Tx8R1/+O4PfPvttzzcPbLfHVC2ZzlN+CnivQjB7bEIKQMBxcP+vXgghUDXZ12VyWXBQTbgGCPJX4ilPHocicWnJUTCLHSppBdkwxHbgOypgyIp8cryfubL0xP/8i//wvHllWWZ+fDhA5fzxC+//MJpvLAsgd9//o7Hx0eiknY1ru/phl7ai+QLPmdheb2RUsRoS4yIWDM78BYG6/HhA58+us1ELT9Wr6K9cRx5enlmHM9YLPMkWrHZS+m00Y5ifCrsRqoCzuKRk1JoqpZ01kusnjO1igOh+BftxbfLWKZZSppnM6ODVMoJfS5WEtpmj6pOxJ37u0N15BbGMutGkAm934lp3mAkzZGiJ6WI6Sy7j3corYkkTuOF55cXjLqwH/Z8//e/43Q6cXw9SwPsJJVFh92ODx8+VKNPVZgmiqDVUzRmwswVB+QsYjeBaFdRZPSBYAMxGwEmtS4wsulrwgLOQqcMynR0393Ruwf+63/5d/7rj3+CmPChSVOkyDBYrNKYYlcgWTxsBqF6SOLY3A8izEfVKpoNo+UM/eA4HHagFd6LO7Vm3ixi8lwnbWD6HcZYmQu56e+kLrIQNUDq+igLVkzLCiCioessSjl0gs5otEp0ztG9f8c0epRy3N994PJ65N/Of5QFcPeBx8f3fHj8xOl0YZ48kVTF1MZIL8oCqko7mXlZDRbLURmrKJuYUprOScrZmkAISQKbKGz2jz/+iDOW+4O03ilp1NrpAQhpNdssc0FEwHmu+LZUe43y60bOmqKVsbuxYTULfQUe2aql6I1a1k2KWxSXy9oPs2yYJc1eLCfaNeRrmqw2NSggY432Bex2hDRXNlCpFSDIprWeY4xmlWM0G3UJ9qQLhxKXd6VyM+KeFBLjeSR5qTgMPrEE6RKg0BlcJVSQ/pJOWZSNaNXhrBi/9v0e70W3+eXliS9fvvDjjz/wf/zn/3NjCK21rhW16xwq1y6S2lxoZaxkvSxjopTi/nDHd999xz/+4z/yhz/8Aw93j1jTYZXNeqoaQ+W3T3WOxhjE9iOP/xKEVa77Xl6jUpIG3iGubd+ur3m5Xll+KMGOUiidGvH6qq2q16OxP9jOCYVqh6AwRdnEWtktW1TmVPnutx4HajHVNYhKce1G0M6XqoVrukFcz9tr0XnR/wqr31g0qPW6Qar3UBnPNRv269DpNwGs+njPMAw8PDzwv//zP/Pxw2fePT5mfY0lzYF4PpN8JHipdPDLgo6lCa4Wut6YjbWAqEOFgSKuVv0U9gmFRSIdQmCZZsIyifYkLhClBH/RmoSV6MRoUNKgd5wvXKYz0zJyPL+yu9txWWZO85nX8cj5fObDp2+wh3vOIdF1ln7X5YVZNGR4MNow0GfQJBPOKIWfZg67+9ovKuUoMFh5zscP36KM3hgSFtd0YzTzMqLthLY9X55/5unpZ1L0WeOjRDSbRBdgjaEzHfNFFsZCU4v/kYyPdJ1XOG3QGMSjJFU2IoUlp/ssi5HUxeQsuotYBUEFQvLMWWAaFmkjBLKQ7YaB3enI4DrePTxKSbVeJ7K1lmgCJirm1DM4hwJimNFKypmVEZCqjMcdxJT0Mk2oOXBne3bvXBXFK6Xoe0PfO3yKLFHSj0ZnsboC43qUES3OsixowDnL0GkSnhBnYrJYPZBUZAwLloH7Wfp6BQKz9vguEK0iXAaidgwqoZeJ83jBKPh87/jD94aT0jw/v+KXgNp1TFPgMkUxWd3tiMnjY6SzCtspnFPoLmFVz93ugf3QZ3sHD8ws45FlHPEx4Pqe3jjxkho6xnGs8WZMKnsRabR2uQJVoa2lG3rxb/Liyq5M4uD7ev/W6NesZdKl8E0WKCfplBjRfiGlGWtEQxfCIkUhOokEwBqsGVDG8OPTF6wZ2O324F8Y54m7uzt2ux1ow+U85bkn4IhkSFFjTI+zPVoFtF2br4ewCFulxVC12E0UFrqwAlprejOQdGJJC7MRdctl6Qi191oJPsRh31LcyNfiAqlSy1FureilCfLLBhFZkqRdncrMOg2wqdF2U/KeAW0Ma7qxHC0jkRAxdWUwcqsVHyzaeBKOEAub1WGsxi8zxri84WcwkZxcJwPez4DBaCu+TkIloLWm66PMg2kiTAmUbEZhllYlSmu0NQLSvUFpxRKWzNAGus7SGQE0p8sr91kqMQyO5DPo6QzKBvCQXJR+lPk7lAFOSmc9ncFhsKqv43KZL0zTxOvpCCicHQgedvZfUH6Ud/AKHxZUgq7LKbsQiXESEInBFk8z61EqQBB+3aoExhA9ON1zd3jPx3ff8v7+E507yFgmg152lRmLimxk2rB5SgLsVb8p6a6ku8pMyk9mpiipsEAxiy4+ZjFmq5Scgi1pQPE7lKBJGF2LVQaV13oVFVkmuGG5YoxibxATOl1VwZbCqNx5Yc0EqgxIxVS7ZaBAgFNKCVMSBvmS6uI0rxRJnMBzq6+t3ik0c38NLLbHNZMln98wsayArzTsLveW1hrXyRiV4ONrx28CWH377bd8+vSJz58/8/3vvuf+7g5jrfhURdl8vY/M42pqFgMov1SUXQZThYCKUawUZPWpkRFhC6pKH71yEUSbIFczRjaTV1IlFksGVinUipPL5VI3fp9TiBIV9nTWMgxDfY+135JMhhJpeh+Jy7ZU/rqXWkHrPq3mhlprmYCmqYDwIafUlCwKJnEZ5X2Op5d6XiLeFyBhc7VObfdTI9PWv6RJEZSb4isRQvEFu9XqoE1NJZ1v0uBhHFm852wMPkUOw65G1RpRmYcUwWu89iwoSBEVE8qs1gZK5XSrrBqEvKkWVlJrfTWuYNWavrzOyW/EvynVxbA933KDJkoUJZ5ZaIPWoV4r7SI2Dto5AAAgAElEQVRLlMpLm7V2S4p0KvH999/zZRHH+eN5ymmNhJm9pGJZI2Epi17n/n4YqtO2zHFDypVbPpbih2wn0Hf1fRK3Kf1UU1P5+idN0gptdF5Y3gqflV6r0lpglZIYqArAYKPfsbZDqi0DSxSAVMZ3nkWXJynU3Fi8MqcuF37AsqxNY1VUaL1qE4tFRbmO5X6WPm/rdS0MV1k0iweVtZZpWurr5nmu/j7CrFxVTN1IHVz//iadp0rq8Pbr2nG8ZpHaY5s22bIBlVWuYnkpwmgrd63NaTbb5w1Ukyil/ytT1m4qIW9EVSqh1/L9ZVmbxrfnJMBQ1/MWQB/zZzQNhqO8j+hK95ndL+yBohjNViNSVmbJx4BWKxPR6hO5rEbJKckecTiI7UGxeJHhipt0YMvomOxCbozBL9M6/iSSEllAjJE+Nxs/HA5Nh4ftmlIF+M31C0GYqpaVqeCqus3HOs9jDBtPqTXNd7vy8/poQdP1D8g6qnj7HteMUDv3rj/z1txsP7955s3ntM8rWYPr112fT2XRrhirdrwLkyfjFTCpZIL05p4rc7+Y4f7a8ZsAVn//d3/Hd7//O7799lvcbgfWwhJZxhMqCsjx88J4GjdlsIRUm7amlIjzQlQ+t8MQ8bFSqkbLlc4mLzbIRlkF4iHIa/JEWWLIrugJnSLGJlQyWAvkiNRHsWXQRj5TmBgvrWOGrBmiVLdAZ6wYDOb0mzSq1eiEVMlZiQSdkwjRdV0t+25bHHgvbR7KjVo2KwENHYlA8NJzsB2zsoGU8SiLqnOOGK8NQJV48zST+XpiSnWezuNG/Zswg1tQ1d6sWmuwCaJCBbkBxrCIEzyKOQbmw8I+eIYw4EnsraZLlqQ1IcLsIxqhqq0yUvYu5VV03SCi+EI9K2GqlFI4oBukx5v0gMzRSgaRBYApnWp5fmUBUlrBcTnfvIiWTTXGiE9S8ShMjjRa1mRhbEz1e0cS0S8YAn/4/nteg8caxS9Pr9loMnK5tAaOkVLRY63BuAwE+r4+pwDesqmJUWw2jcztMkDSwB5qgIFZtRXtUd6vMC9FY1SuqQxQI4K1pjq8l/tP5flmcdmEsdDq4usFuXo1mOpl52cxIJymiegmYlod7/f7u+xL5VgWsXRICRKhznnvxV7+WldSrlELjovppW00JsY4rIVhkACqrSBTytSUSoy+zpG/BVhttHlX98ato13Yb6VW6jXirVapfe82xVPMNCvwMKLblHR7Pj8NpWF3OSRobPRzkcaYUcagU1Lc4n2sBQblOqSUqrXECqzK91sDZOmFGhkOYqDZdV0G7ia/txfdX2a0tbKb67wEX9uIyX27MpdRQdf52hlBac35LDY55/OZ8/mMUqn2RdWlBVTaptZuXeOU2ZQCfPq+5+HhgYeHd/T9ro51u5a2mqDyu/e+7lu1EKAEzk26r6QC29RfmYslACvfK6QtuNBZkN7ODdPMlTqnr4om3qTwrrR/dU7emMubIOQrx62/vRnj5vNa1utrx2a/atKJMubbe8zZst6bukeWfoFFq1bn/1eO3wSw+ubTt9wdDtJbzSfwC8wLcYm14ioukeky1pynVCusJbDzHOoEhDJQt8uJjS3VDs0mmqnOZWmcdaN4lCQlOoqkRbysba5q0Kl+hlQ5SduTlMQpniyEP5/PpJTY72Ujd51h7RGWNguC2CfkHk16dVF2md0wGVyN48jpdCJmo7eQYvUjKdG4UuK6fTqdeH19reaJZTzK2BWgMGc7CVgXwfZGaBf/diEwuiyQIEJl/WbyC5BVQpFnGterBBGSXR+TTRwmv/AynplSoFsWhmXhPiV2Q59NTzNrhpJINjNOIQNna6USLCI6LjOIXqOYR3bDThZrtVaoBLbnGkLAG+lHWKOjG4trBZKqocmjpBLrgmUUYEALm0iUuWGtwaaACYqHhwe++/23BD8DmteXE+fTiNWK3hp8WsXAhVl0ztHvBgGJehVoklQtJ08xi/1zQ16tLGJKKT5PbTSn2gq6MkdrRVejweD25p2aCLmMZeljGGNExdiMiUOhJdOkDH2/Y55CJkE1dw/3LHP+flH0eVO6EH3AakfXSXWY0VDM3FLWpwkbm4hJbc+vbhrbCLsyuC5hrKrMiFKKvt/l/5dWINKk2KBzqXyMCpQAcdTWwbxdd8oYXB8yVm83j2tAtX1+evP7TQaLt+yBqvNUqs+AzMitXR1iBOe6DKQtSkUUpnHrl+pSGU8L2eG9pDxtbisW7Cr+LgL9llkSZjWglM7WIollCcJCBri7exCz1iReIl0nHlaSAhVWeH2/9X17QtUGFflHASGFcezjjtl5+j5Uo2npSXiksFXOObRZ7/8aeMXmva+uZdt6yDnH4SAmt23BAEYTyNWgYZ2DZQ8LTQqwFfBDkV98HUC3rG+57HI/rPdlGZv2tWVN26T1miOS0Fd4YgXLK8td189ayPHrbFWdq+WctF4xUuIKL6n6WDFern+Pb9/v1vtfC+dXdj7/fyzgN8BG+/jrLFV7/CaA1WF3xzJ5Xr68cre7WwFPSmKumCuuopefshCRZLH1CDPTTkDZ6LaO4mUj7JIjKhH3Lrn9xIpgqRM8pOLVIuUSymgwioBM+CV3CQ9xobBjKibRaIVEmAPTeSKEU2aSXL65DcW/qjJu2eSvRH3GKHYum6WapndTcWfP4Eq+c0Tnyp9d1zPHKTcqDRxPkdPplS9ffqllxSX9eB3FtmOUUpKy5WbjlZmrNxO0BSJEaWGyAWQ0G1qppkhSeehTyot7yaOnGiEvi+fiZ8YQMNNEN124RM/jbpc1dD3JSL82nZTYaRqLCikLQDVaC8DV1uDU2q5BKUkVGmfzWaWaRvYxiYt5SQUks9opxKU68ENmRZtFSIBeXmSi7AVRCeBMytTSHmMMIbMcRmUgHReshvf3B06PjyzjRPSBzhl6p7DOiEcbeV1JmqQ6tLPsd3cMXdY8hSiaHGLWXmQNkrVoI3XUKckcjSlVBjMkhU7FlwwSmcHLAvykTQZINru23/CLMTqb6OaNRezh18VXSaNtyIATTUBBNrUNXjRARiu6vufzp99xPl04n0eWtKay5mXicjnl1LoY6GojG6z490yVGWivz7Wgt1TUVgCYgwxJD5eelGz65hU2DETbs9vlFD1vQc01w1vH6cbRPu9rEf31e7WPx/h240opvdkL6sZao/b1PX0G9NI6S9F1YudibciGwwqNrZt1+SyDEmNfVdJFcu91tid1MtaXRXqnkm0+jNakJNXL85xqNRoxVtYfYDcc6JxUWCels0t5l8fICO+bA9J2zCKWFLbNo+X7rtYCZR5I0/U9j4+PPD098fr6SgjLCk6yuLtcG0nTNenZ9jo0rH3ZkIvkANMyyrpabLTsU9XCpS2L1b7nCqwkpb1e18JUra2RbqXViiVKC9xbtqqdK3WvLd9TCZ9wPU+jYi1dlFffno9cp+G2AUJKaTMub+f6+t1gSwBcH23Qcc3Ct99JKdn3y/t4ZmK0DW5YLUsKc/XXjt8EsNJJM11G5jQxmB5C8VhCNoYMtFQUMZ2SwJCo1uqfZZmqELoeKlaWRClVhaU+iZ9SIgvWqwiw6AXEwbdsDmXBHfZdblY5E5Nn9p4lLkQVc5VABhshi+ynGaM0Po05ZSGVKCihiK0tEUVCG0WnRPtSb/iiy9GyYemUUypa2Ib9bthMmHITB93z9CTeWn/+4c/85S9/4eXlhXE6r6DiSnx3nSNPVxoz0SABSdrygKRRC3CScRYGqlbZF/o0R+NaFWd3STP4ZAg5OhZ9l6pRbYplgY/gF0a/4Ek8HR7Y7zKD0FmGXC0Y0aIdVRLtBNKqh0JlQf/aI9A5JyJayCXbvtLE5RrEGNHRr02mU8qux0tNJdUbLYq2QkGdQ0pEHHk1kEU9xthYEsg1GwygB8x4ZNc5PjzcM4/S26tzGmd1jupTTcyURds5R7cb8nRP+VOE3bpMUvGHttUHSCthF4x2eL8QfBJQpXUGXaouMkWvVgoZlLaiG0tJ1KflNmsWOaUUlOc0oLtuQsYRVZTXG42OBm0s1nbMU8DYnru7Rz59+synT594tkfgmdfLvAHzwhqtLWfAsd4K6yJrcmVSSUltmZ81yi5zo9oSGLvxjytrgHN9BVfjGBmGwmgIQ37N1v4tAKks7vXe+8pGcf1+tzaoXzvaAKrcB2tAWRiSbM2ipKepz+Cq60pfxbVoQcYu+29lcEXSlflyLqfltGaZss9Y6QOos6YzFnmGbFo+LDm1q7PDuqspStSqKRTwlluhbSpSs5DZT6QgdgQhRFRar32KiqLxasFP6TP7/PzM5ZJbZS1LTfm210w1bHTMxpsF7JUxUcpUZryt2gwhiHVLDq5aDVULrMrf2rkUSPXzNiLsRn+p9frd2vmhswXIdRCwjtr2WOdUmdMAiqhWoLr9DsJoVXZPfz1AaOfsNeAK8ZpRatnbt0HFrd9va7DW97wGWrIWSBAqRSgLMZrNPZKSpIe/Fhy1x28CWNmg0XYQAfnrSN8P2KAYx5HpImZ3OoFeQPuiYQnyP/nQqslRhwJ0JD0TMzgrA/TsL3WyJx9kkgQRycfFMy8zEbItwsDhIBYAl/BKjJFpHqWNgk50g+Pu7sDpdMq9CT0hJFLQWO2429/THaTC8ffffUvXCfqdppFlXricj3VyWrMyWFprdLd62GwmhFa1VQFkJ2TgcpHWOT89/8i//fu/Mo7nqhtDRYahiJZXv541vw8xFEC1pkYIIg6v1T9A8eop7IQ4oAvjgVrTP1bpDCLENkHcqx0qBWLU2e7OQdL4XC0SA7l3ncdZ2XRjhHGeeDm+8t/+n//B4XDg4e6e3W7HYbfn8f7A3f5ARMT61kjkK4u7IZKvbQRjFK4XQakxhtkvTK+vJKUwnYECsmNAGahqoiRR6xyLf8ySb7qyaEtbIGkTE/CLIEyjs1lqFrVGJcqqruvAWhY/EaJiZ6Xa8nG/ozOWwXXM5ws//NnSG8XL+RXXdWAsrnPsh66WoFtrMQlJRUq4Sgowz5E5SAqwH+7YHx4lleI6bOeYXl8wXc+gtaQLTW7lgUKZTtKCugNt0aZHGUNMsqFqtQLxKmrNlURaW0nrRqlAKi7cZXEf5wW/RJzzuG5PjBOKyOPDB96//8w3n3/P/d17fvly5PX1xOxhmWSu1zRWCMwxovXCMs0VLHfdwG7opI3HeCIstt43kgZdF8biIC6Aeg1qQgiclxXIhVkYMNfv6Hc7xunMy8sXXs8ndneDGPBmNiL6VSdTNtPro00Jlucas9WB1Hu9OW69l/dLZS/a8amMnVKbzbldR2T9ECCwBh0J7+FyOXE6SXBkbQHmjr47cHe/x3YrkK3AujJX9UzXHoZonp6eKFGxsQofii2FzTrZyDJ7oo/s93s+fvyA1tIE15oebU1elxJa58pCUgWDJUBLKck9H5pUmg/VS2wV7Hc451mCp+s6vv32W87nM6+vr8zzyPF4YhxHht0KjKrQ36w2FcJfSqpTxdX5XGvNhw8fRLjer42f52z3otQqQi/fO1yl5kGYb6UyIEoBChOjJCcmwb7K4EBMtVbAnCrbcp0SL+9vrgBYBXKZgUerN39LCYjrvGnZoaRULYq5Zl/boOIa6K/HbR0hbAtfrt+33SvbgKGC2eY+aDWXJWMlPwXUidde8NmnUS2NFcp/EPG6JgsXDdIvKYEPgWVae/mJX6K0oFndodeLHZTopIzSYMXHJ+aJqtlqYgbXiRZjmuugl59pmtDWsNsNuL5j2O8lNWANYRFULlSw0NLFCf1yOaENWGUppmy73R5rRXh+d3fH4+MjxoiuoescPswcj3A8vhAjTNNUF2SAkzrVSpLy3Wt38nwDz/PM5XKp1SwxRr6ML0j7gpib866akmmaatViSim3O8jOxdHXyV43HKU2G1BhIVDi2i0LeAZQWtN1uQ8jKx1d0l1iBhlIKff5iisNbpIVYKVF20anCNGxxAgp0BsnDGZMvGYQe9jtWe7X/leuk41EGY01GuOMhGJR4+Ocm8ZK38IYAZ0jGq0zDW5R2su5kSMUnZt3gjAjIdaG0H6Z6Ic9SslzUhY2zvNM13eExVeKXRgeGXedhCVTOV+Y5X7s93smP6HTgtOKj+8/8O2nj3x5emG/1yRkA3e5GtDmYoj7/QG1CNgdx5Hxcsk6EKTq0zqc6+i6HtsVP7TEMgfmRYTgru+Yppnn11cBVEYYqkAiJGEndaSm94pouE2zLVH64rkoG3JbUQW5wtR7SDoD5RPBf2E33PPxwzcMw577x/fYbs/PX575+cej9O+bpsomFoahXcyXDC7kc1Z9yf39PcfcNUEE89LCKMW3WicR+a73WMh2HOXcWiaz6zr2+ztSSozjzJ3dY6xiWWLt2SepxtLY12wi6GsAZYykMFtGtX1eq3ssTOp1imhty7Km8lNaU2zXrJaAObMBeOtYmHyfS7BTKrEvI/TdgtKJIXSV9W19r1IIuRdi7heppAJ35wbOl1NlGsvzAfquE3ZolOssvVbFZqZzAynKvC6ed8L8ekgxB2Tl3FYWKoQ1cJT1YbWjieRzyhKO9vs/PDyw2+3e+Fm1bBNQdYiSmgO/iMYuBKkA9skxL5MUAxzuAQEFTnUNO9WA9xg316hcn1JQU6wDZC1+m3Yu8+MaXLRzrcwR8vkDWK2hKYxSSmW8lqrlx03QlZnpSOJaxx3T1ubget618+2aRQbe6LjaufIWhL3VILaPX8/9MhZtU21l1orHlFoGUVXAn5CsgYkLRrlcsPX14zcBrHon2iM/z5xHKWeOc2QZJxE0RlXFsjojSZTCZ+ZE0i95INM2gopJdAa6kRv4q4GWbFzKVF+Pdpah30tjZOvwPuLHGdP1GXxouRBGouTdbsfx6LBaY5W0N4j5b1oL56EBpw2ds6TcfHZZFPYeDImXlxeWJTNQTnQe5+OF8+W4skdkti4Ejsdjja4Le1XSWaoXI0rQ2TFdojy5gX1F6EJ1h7pYlKrAuii3Y5nBVGxurJpSyHN6bWciANMUTYRzdE4iXJWN9JRSaC8mgFGXFiOyiafsYhxCwERNUKJrMyoRlkgMqW62ZdMsC7JSCuWVGMNGSflKakoLVSfN9mQ2Jb1WxGlhe3S0YLJAKiVUMY8ri6hegWcq4D5HWDomKSZAzEPt5obPLIQ1pCX3AEyqljHrDD59ilizZM1H4POnT/z00y/8+ekZlXV+xlqc0bjsBeW95+CykDoElnlmzhYBaEPXDQy7g2ixduL4/Pz6wng+i2rOWrquz/qyDu362sjbOdncjHOgFaFoedDEJN87pSwSTyIsVUsBEyrfK2VRFp1MSAJepnFhnhJGe5aYuH/8SIri4/XyfOJ4HAGND5Eut8JRyDUs1g7ShzFH4lqzBE9IwoKotG6aQJ33Arzsmwi+eOxIOnQNxlpNYkqpViOWSlpZpMX7y7lGq5FZi/KZ7QbwtUX/GgC1xzXr1L7m1vNo1sVytBtUCxjbx+RcEzHoel+Wt1yWhfP5iPe5Wrkz2Myyl2brVtt8XzU5tEC2YJgE9MSAtFnRddMH0bPthkEsCoYdyqyCb1mzEqWNC0nXghM51xUMz34h+jXoSmFN9y+l7Uux0FhWnW3LSoVgq43O9bUqspFWv6sNpAz2ylHYOIUhRfApoqPG69ySqQE+19fXp4iK67W7Xkvyo5T2V6WK7Xou5GXqzVGq49tDJd7o8nxjKaKvCnyEsW/f4HbB2PVxDYauwfavve76efX7fOW55fcy164DlTYPujk3nUixHXPT7JX/ARgrY4y0lFk8p9OZ3kp6KIaQ8/bUjT5lRC2TulCi4lwMVJdrOZry6qxlgttoXn6XqHrX9dzf368UaIkEa9SajdRsxzDs2R/uGF6fIcqmb62VHnFaizFjLnmXcv+EdSXKi2jds/iJy2g4XySicsFgk6bvLcuSCGGu4nwfsxYMAXjaJKxTRG3Aixh8CnNtnpnyotU6eRcgIgvaGvmKNkLVcSvuz0qJ6LhO/sxkGfKcVDGXO6sKwIRZcPSur+lNK/uuiPuVtBwp1yMYYapiLptXKeKVRnuPR1JoVivGtOCzs/ZynoShGUeWZeH+4cA+DKAPlVlBJ9n8lawXSSuCOJGgss5OGSt7gNYorTCNoSWZ3ZMquYAxigU21HKx5yhNZaM1ItTNflW6mXPC9plK5yuliUrGTarPEqOyGLVwt9/z/v173r9/z8/PR5YgQKGzml3fs9/vGbqe8+nE3b2DLFpVWcsVEhht6Ye9lKzv9lgrZevBJ+ZJIsuu6+iGPUtIKHNGGWHHTOdw3SANvZ0IhkNcpB+kiZW5JBXALMcSpFTcNP35ynWuACO7nkel0Nax2x3oup7LZeL4OnI6TxmsqNz+qKvvIYuyXD9Y9WaFOSyLn/eebn9XN/3L5dK0J/FY020YopXdiKxVgQZj5LPlb+t8cK7nMr5KFwjbVWPiAvYLe3ELxJSNei2lX6Pp9juV++/WutWuXdeRfJ1rfGWzShqtt/qdFlgolXIrKYncy3dclpnzOTLNl5x67eg6KQTpXJ/1buIzplQiZn2O1rDvu6xPm7OBLVir8blBsAKGvudw2HPI/nVJ2ea6CKjapvwECF+D0iXMNRUYY6kKlHVv9lmX671oZZclC/ehpFCvHcivN/7WAmHD2GkFYZ2XrU2OuMJnU01t8b5s0m9BVVSg4/bat8+9xdq0z7sFWsrvGjZFRRXkZMnH9RxqNU8hg6v183Nwksgpydus0pvpdyOgqN/1CuznX/Lft/8vj8m/RunNPLhO/V2PTT3/qy4HwrSWgDvVClB4m6b92vGbAFY+0/Xee+nfl8CZjPQTJKJUfsUEedFLSaqvyum1VD0AKdEyppuoJxs5tj2XUlQidnbSGuPucOAyTsxhwWpD33ccw0yKBqN7Yoq4bLgo1PUj5/OReRpxrsdl5+oqRgyBcRyJ0dNFR2kbo3TKPkQO54w0Ez69crmceLz/wG7f4zrDNLvapVwi4TX9krSMhc65+LAspNyzUCKzdXyFXQg1997ekFuEbyjd2cvfY5Ry+XQVeRsjsLZGbwnaaL+0pUn4XLAni3Q72S2KoOUaJK1w+fNMrqgNSkBz1zuUXlBRs0SpZDon0QE8fXnBhyDAwGgBS8ailSKkXI6dhGkJMcfTmcnSmQUpGgaFESG4FhColIJUoldqax4Zt1WPkLL2QBPRSlogqRQJMRFSQMdIIuUbTxOJwqJp0LZjNxgu54ULE1oZdv2e+/tHnPsz43LCqY6h63m4u+f9u0f2+30tiiimmn6Slk9+iehOsdsd2O0OWNMRg7CPJS3QdTu6Yc8wDEzLLC2Ocvl6EQ3rrN6NKNFbKbXRKkEiqVjBYvBeXJSjNCovDWMzZM+eWhZtYW8cd3fveHx4zzIHTpdRnPKV+LnpbDnS9OEgIQ1wpeIRtLIoLe0oUGvqelkW1DJTqnm6rtt0KBA2uQigtwySBCYpMwql5Uuor6MUTQSY54VhSFjraD2FrlOINeq/Ak2yWK9px3bDaze+Nl33a+zWFnxRP2d7bMXr12ukUgptJL3Wvqc0oV8IM4TgpSXSIuAh7uX7dV2bwszX3lqGXcccOuZ5ZPETKokHXoweFSXgHIZe+pk6t/nclFLWUxWwVEw0qeO2+SFs/KQIqzB88WKMuuR0oS9WG814l/dcloWYVK0mXscxM/nN9a2MKmtaVpk1uFjX0K0z+E0wpN+CcRD9abmo19f0ej5cz43r5NXmfBodbft9yvxsH4+AUWWu5PQ2WS7wVwDH/59DvuvXg4VbYPP6PrtmseQc1qK3FaTHr947X7vv2uM3Aaxa870y+aKKGbiW6dCWYJY0zDo4QlCsA7kUg7WSQlRZ/CeZKEAqxwSArROqpg7SWzFc8qKhsdYRUySFic4N7HY76QUYPc/PR4nWnAg24yI3eNF/KWRTTlFE5dM0MV5OxOBlY0iRObu3z7PncDjIdy0ALXpiCvjkGaexAq2WQRHDU2G4Ylr1Y+WnTFDxfckmqkH29+2NqepYS1XmNjrW+cfqnJJpSmxVWnP+1lqsEgChEYAkuqWGWk+rFWFKiag1zpTJLRV0UUnvseJLZYyMUdHGPb++kFTEdgbbWdGXWYmwQhTjV5lKiSUGdMpOr9pInt3o3NneV1dmoffzIpn9xYwx+LCayupGpCwxdCQGafqaoiVGKVEvUaJs2ToDTA0p1hSXcwbb99jLTIiKod/zeP9AZ530CtTSuuf+/o53D4/sdjthZhB2dBxHjscjp/NF7AS0Yr+7Y3e4p+932YU9MI4zKSl29/vcl1FSWdpZTNdh+0H8wbTGhyB2GEruR6U0Qcx31rnSrj2N0WrRGJXznvwiqXgtPladkxRl3w/MPov+U24SHFd9U3Vy1+Kv1VbxQpA2Rnkze3+4k+daaQC+VlB2G91XCKFG6O0CLBtiue9VXUOSknNTJrv7mwFlLCFGFh/xYfWkaxmpAlbKY7+2KXwNMP3ahvm1Q+7Tt58h79E+Z934VQbdxbFbV0C4MqxFMA+FBfLMs8KXFJv3WQbR3BdJpADGKoxVMEFKq++gsVIFeDgc2O12WC1rTwjN2pe24EkKLfS6Z8QVPCURcOZ5suTilVxRGnwGVsVqRILPW8AKZLsoe0E7T8pcEc2iGBMrFZrnrE7x1dJFrcCqMKvXR8yBWgtyIc+/lHKFsNrMGTm27PD1XGgfvz6PluW5Zunad0rrxLn6DAkOEmTHe3iTU7xx/Npcvv6O7Vwtj3+NHLh1/ht27ivfoWKLzeOhYa2KNus/QEub0iSUIDS8nxeSiTgjEauKBfw0kRMZhfJ2AYHtAqWUtDWpE0ZRc6d1EPPrL6dzFi4qdocD+2HHEryI2rUDAtr08non7t1KP7D4mXkeCeEHLtNEypqLEANqHOl7icAkz+uZxgvTdOGnn/7C6XRCaUVAciQAACAASURBVDabRUqJ19dnzrlqsKY30kpHtqmN2NwIkxdxddhEz75GeiVdtA6WJsYFlPiClUP8SrK+KzMOZSGxDV1eIvgUJOopAMJm4WpnLRoPKopYUkX5PmGNmHVzDUAis6ShazQYMSr8MqET2WtKNrhxUfgQOV0uIkTvHMoaMeXUYvgYg7S9ETreY5JBG9lA0IqkNCRFVBCVJkpDOTnvWFLPuqY/UhBd2zAEjM5eUSozbikR5gWvNXq2WA3YAi6aiAkBtjGJk7wwnAmjnaQFlWa/jzw+vl/d97MovO86OucwWnN4uKPXHZfLhfPpUnV3WmvRCnYdfT/Q9wMm+loAYYxhtzsAmjmnrpQyOcU9YIwVdihIlZVSCrQ0uca/TY+Qe3pJn7mcWkiFvl9TKFqL3UNQnv1egB3KMI4zy+IJIWdxlUFpK2lI1o2svb9XnV2oIOzubhHB9G63ibaLcHrtssAWtDWLiLW6ggnRIqyieJctB1IKdG7IDEhkHGd2g6peWMXNvWxWfd//SuS8Pa927Xozzmw3yK9totf/v3kN7ca1Pm/7XrpuKAVcOR2YTRaPk1NTBEKMnE9zBlU91rgmnWZqS664zPm1TcCmwFmX9ZimsvHee8a5KS5KW/AkAfjKBG3E6rmYqbyW2h0hVW1VfX5aiwjaNGAZE63XNj7rpru2BnKu35AC13Nz08dVSRpbZ3nGNasi7w3C8pZ1Rde1McaYLV9ueaRJteQtYH49dzZgJbFpFN/OQ53IOrewfQ+lajXhGqiXH/7q8bXv9zXW6frv7b+3GL/r110/dv3c9vf13hOrjpQky5Nimy7/D8BYnU7SmqVcqKLn0eTWBaWtSF6AlBJY0ApTUwzi8VFYmxiFrakDkSdnYay0IsWUjc3WQZJNZ+Gnn37GWstdbkew2+149/iOGD0haXzQWJfoegXqjnfv7zl/+y3Pz0d++POPPD39TOf2InBNmmWZGIaODx/fYa3i5fWZp6ef+dOf/o3T+UiMqy6jRLauG+RcSJub3XsBeqX/WpkMdaFQgCopB+m1VipmCkMVvLQBaReQxa/GfEqp7N0kjFvf91ilcum1fdPzULQDACrrz3Jfutx+hRhyKb7omHSK+Aw2bx1RgWmi05AZom7o5Bp5AWZd12EX2Vhfjq+cxwvHyytfXg68fvzAh/eP9L1jMD1KW+kUHwI6JsjgTFxzJO2XkpJ0knOAIy4XfK7yNMbS9z1x54khcD6fGVyH00bsCdSqg7BREZeFsAgbZsRrIutucrPjBNHncnESs48Mtuf+vqPr9rwej7h+Rzfs+Id//Z/88Y9/xHaOT+8/8LvP39D3PS8vX4hLx3PWS5FEgC78X6Lrel7PZ+5Op5za1MQUeHh4x+fPH9nvek7nM6fTiaSlNc6w2/Fw/yj2C7HYXyiM61mCZ5nmzWJkjMlFAtL4NvqmAwJrCi2EQOfWlh4xwrt3H3j34YPYQGgFcWFCytGNy+75MaJsh3AkMt9dP9DOnmkSR/Rpmvi//8t/zpV7e7759LkaNEqRx2r8WAx2YWKe3WZTjYqcilyrBdtKMAludG6DolhmzzIf6btDnfspJcZxrCBuTSOum0AJVIqOqQ2syvPKYt5u7u1jbeDVbh7yXd8CpsI8UcHq1zao/F3jutl0Qy/pMb1NS1Y2aAnM88gYR3mfa1frlHJwuBbkSHuvKPYwy4xOVNlDbATZafN51LXuJuA05PVGIUU8uepXKToQD8MsZi9rQunpWlKRrci5VG5WvztlKxt5PJ6Z/JRBs8e6teVPqdiepgmrLVZLcJt8qpWqbel/GdWWjSn3X2XmfKP7bM+5Aonb7FQ7d1aAsPb3fANEomR41pTuOse0zknP0DrxZ6aPt87ut47r79fuJV8LDtTV9W7HqmWEZb1efahawPuGrdu8/3bsSt/RlCS49H5bEPO14zcBrEw0qCSaFqcUyWb36iXm9h9UoNXmiZUyFGZw8WI2h0LEyjl9pDLNm1KSSjVjSMFI1/Dk8SVlHRdiiliSCJj7gbAEpqcXfnm+SPn2xyN393vuHx5QdiCqD8z+wjSfsHoC98J33/0n5pj49z/9T15ef0IZzcEIMDuNO7pTYj/sMMoydAfuh3cM5sDxcqa3UqlSANbxdabvewKBGDS2ExZGd5reGeb5XP1ZYgo5pZTQoc8dwnMqQ1HbJygEUMoiICX3mZCCZUEnBVFlgKFzekjjlEbpgNIJZSLGerT2ucS4z0yHRiedW7A4rDY4paX8HjE5tYWZjErYKzLlrtebPKQExhJVxOvtpjF7JVVxeJaUW1QYsdfoTOR8PnOczmgSfbZ+OBwOhDtHtAGnHCC6Lx0tWkEIC11nUMaQ/IJKukYkyfQoZ1BB7BRSiEQsMYlfz7Ik/JLotUZFI5YEKTE78fdK3qMWaVrsjMEkqfxLVhGUItmcCkzgUCib018hsds7uqAxKvGHz58JJ3EbP5gOExIuKR73D7yeT/hFCWN1PnI+nhiPr3z49JHff7pjGAzjlx+IszCs0zTxuw93/P33nzFq5snNpMkz+QtdXOiiIp0norFi+mcNzmi0n7icX4lJ9GMpJUnN2Y6oFNMstgqbI6ZqJijFJzYXD0CnHSY4+nSgVwfmGHnYHVj6wGWcuUxn6TuoFXZaN2atLbpqXrKFSvaAc8mxmIX54vlyfOH5lxMfPnzg48eP0lJq11dGz+hSCCL3UFgWdMhpQ99jOkn7BQogSni/YG2qztgpra7cMUZO54X7+4G+67HdTIeqaflypFTcrBViKFrsUFIFV/DWL6cky1MS+w+tND54JEAqmqTCeCi8T5i0XTXXTTyxLAmy5k3WzNL784pVU80mbCLWCCjO71jvzZQSXbcNhGq6tgqLwaWWDSxjIue+hDmzYIlk5RyvWZQYxdrAbVKNK1DVWhPUCKScdlPZ0nB10U7REqyYlPokPQ2dWTi652wCmeUCVqGd4xgmYor45PEhkJK0Bos5VTlNE0nBbtczaIuxRjIuXc8C6N6hnCWmiDFWdGoNmCqegGXIQ8r2G9kMOrE2WlYKYpLWQ1vmBnyQVPoWTElwow0kJXtk0lLBHFUUv+dSNq8K8E6Q+99alS0HUsOGZTLCaoewj4oqzUlvCynKv9UqolRds6bfrwsxWqC3AiJNS3a1gEsYvtR8jtyz61fJ7HN+/lq0kpr3VPk15XP9BnhKdshvTeZvHL8JYNUKB9uj3ES6tCtI2zxqe2i9ltFXOo90dVHz51y1Pyh/b2/00qtPysInlmXhNE30ux2fvxkZ9j273UDfdwxDx3l6wXWK3//+e8QFN/LDXwyn0yvTeSIukafuC2GJHPZ7uUg5etZao3ObhhAC4zzl1jMzyghrV7rIy/Jq0EaTtMPrRPQaYhGkx7q1ievwUnU1Mtb5JyRpJ5IKyjf1/csNrvUaobtOiw+SyxFuPseUZCHWWmONxWBwxjEMA3d3d+tCXoBuzr2npmkvSGB7K2VRWK7y/22lTHtDxhiZp0WYieCZ5pHz+Uzf93WBDyFh7coqlQX8Wpwp82eNyKUiMH+fptJnWmbmHMUa45EqK5Uj/DVSKmxNGUsVVy+w+p8qjXBdFrimfA3lun/8+JF5njmfz+gszk4pZeCdOMU5b5aiKyoReOtPM41ztvVYeHx8lEpVPzIeRy6XCVKqjWIvlwsBxeJFb6adGJ3OQTaUUgEpv+cm6EllvclaKSSbWKznNAw9WmcfrYkNiOg6i9YGFQM+JMa5VOqlOp5yfXyzDqxzIHgZ767rKqNxPktq/3g88g//8AcOh0NNS5XxXfxUPeSUktZSyeQo2K3jhxJfpnaeONdT3OohrP0Z01olWNiLFNaUUwEZ16ChLOq31rj23rj+vfz/243obYR/6z0rGxK3vk5K3e612DJ55W/X363eYynJPGrYkvZ+q1qm5vHymLXDze/afp9bj1UnpVAawpdxFT1UigpddE8pSr94rTYO6cIOJcIohScltVfSQ0AFN9eFCsLsu1qxXEX0MYpVSAXWbbp3XX/bMSn/X5qQl8D4euzr+9xgqtrnlrWm/bl+TmqUVXXN/ivv+7Xjem7cOm79/a/N29ss6/ZvW+CZNnPm1mdfv09b4FGuwzVWuHX8JoBVybNLOjCnSFhvOq3WpskF4dYBikmqBnUmH5tBq7qjsAVWpVktvNU0lOd0ncXl3n5aSRf4Maca5mVkt+vZHXbc3e0Z7jq01fRu4HfffMd+2HG3P3C/v+cvf/kzv/zwyjwv/PnPf+H56YVhGNgPw7qJKkXvHCTFpBasDwQCj4/i2B6yAN0nL6LMrE9YrFQR+nkRB++sJRgnaSa9LLmXYVgqcBHULX0AUxIbA2lzUkSLkWKVYIyrm8owOPreYSwC4pK4+iosMUQpwbWqGqcVPZL0NUwQxXF8jRhU40Wkqobg+ua1aIJZF/SYmQKrDcFGrA0ZQOY0qHaESYoCjsejNK42hn445PRMKUigLkIF+BibPa/i9rsIsJL0hQJcZzDOEU8jIS5SORos4Cqw4mqzKqX35qrKpzI5Wm0EslUQi9ghfPjwDkDabUwTZJG86wxmTlJfGOW8z+czMUZ2/bC5V+bLyM9Pv9T3v1wuHJ+feX19ZRkXOrfj4fE9xu44XSaeX49En6S90xQJBHwUrRzE2ghaYcSwNqnNIl0qhKLPRRMxEYKn6wSMLAt104Hi+WPRWEKEy2RZGifrlsqvZdfIuJVm01qLCLo810Vhp8asc3x8lEpK56QVTowRNacqci9rzhInUpICB2sbW4aywZT1yqwpo2maVgNfP9B3w2Zz8GnZpH3KHLy9UJcinSb4IGRGYa1YaudR+fc61VGOLQuw3ZzLhtG+R5sKaxkDrW8DtltBbzk30/Tau94MWxDRvialhNbdzfdsP//6fZXK7deT6CNDCBVYkZvqpqiqZosoDE5hIdtCoBQjcYlV6C6pwOazkhiE1jSykq4TvROn9ePxuBZnWenfpZLGFuNh9bb6T85lrSytjxWdYwVhvLnW18Bqe/231dq2kXS0c0TGXb99X9Zgdh3vt3Pxa8ctUPO3HtcBw625+zWQ1X72LTD+t3zn8prrVP3Xjt8EsCpoPSVJw5Ubt0S6VPfgWIGVqe01hJmqfjHl/WJczR+TphiX3Yry2p9Ws+BMcU23DMPAOAsbcHp55fj8QtISge/uOh4e7rC9YXdv+PD4kfv9HZ/ef+KXX37hX//477y8vPDDn/6MnxZex5nZjVVcq3XW7pCqk/o8zxwO93zz+Xfs9j0J8GFhWhZ89rXyIVcFZn2JzzT6y+vC62sxuhMTw5RWAbIvbTdiGQ9JFxrliCFhskdXjWhQOcpXmEwjK0pkF0ghVwBmZkfAhCdFjzHSyiaVCkxF1sxdOUWrJvJDUrj1BmC9YYpNRUoJmzTBGxbtUUpSMkWP5r3ncrnw8vIiwHV/j+06tBPgbkz2PmqAlfSG4gpchZUNTUmYKy0tOZJaF+KlVuqsHlXrRtNsIKFsju0ioPOiZypVXuY4yNgednv8g5ynGy/18Rgjp9OJ00lYl7K5G2OksCJXrxQfNUKk2+/wS+Dply+8Pn0R7ZMZeHz4xDe/+46Hh09cppGnl1fmZWFcRqZlZpwv/PjLj8zLRIwelCSStNV0WjMtMzG07VHELywYhVGr83hhO7xaN4+weLAWrWUNKEUCInYOuTF0GckElVFUpKxRyySAaJwYwGj6/a56nf300098+fKFx8dH3r17x+Pjo4B/KwxduUYhBIKS6iu9rAu5FH1kDUk+h9ImJ/iIXwJzSlUfNAwHUga8Sq3pk3UNakW562PtuiT37pYdkqfFGgQVZv5vAVXtelsev/73VqTfrpfX7/01JqPd8K71Ydtx2B7b52zPYTMEzX3WghCQVJlovwtoKamhnFJVaQ0CWcXyRauXUvYj1KJxnf1bx3iae7XM11pNmQG03Jsnpmli3+9rlaWAPZ3Tb2taPbGuGQLg2/FPaKMr6XB9rbXWVfd160cb3jBVbQXrhtVpxngLyN+CnOvja4/92vX+2ntcg7r2udcM0jVAv36/W/P2+hz+2nwvjObXKjrL8ZsAVlprVCqmjapGuoncXqI4rOf1oJ58TNk/qK1wMKDkpNuKFnWlBbiFOlNKlVEovlPFNVdrLQxAfsk8j5zHCy+XZ15eEz/+8BdsZzg8dtzd7bm7P3A/fKD/5sDePfLy8sKgd7w8P3M8HomLZxlDFjAu+MkTVdkAF7wPTKcFoyz3+3f0O0krLGEWuwXviVEYqXE6M48TyyJu5O8eAj9/+ZllmfI4FvFwFsiX6hq/7VMVU8AvIafaTWatBFiJQFm82wTUepYlZXNEx5Ad1lMAi8HlFJRUEAojFYOwi/mWqeMu7NV6DSNgk8lmodlvTEFQaypPqGmFUoGEpGKMUaggi3jXdczLwvPLCyjF/buPDMOAW5xEfkHSkVYL8+a9x3ixO0gpNwJNK2OlaHquxbwIKkUksIQZs5i8+WpJLcS3LVhSks8pzBRtlE2JprPDvjVY1sVDKvuEYXHOSeXnPHM+Try8fOFy9oyXC/MiLNqw63h4eGAYBmKMXC4TyxLouoG73R3H56OwRRPsdnfcPbzj48dPfH7/DZ+//Z6QBKj4JNH6eRo5Hl/47//jv3E8vfB6emZc5rXKz4gDeogxg0SFyddUonNJjxbXctDELASNUVoz6ZCrCju3RtXe45soud0823tZKVV6g9dNUd5bFsO+73l+fspecvJ5y7Lw7t07Dnc77u/vc2NlCVbkXISF076IhJ1cn2SyAWaEJNdcmjNHltDV909pvwIy1VOayS9LyN95rWx9G0mvLvDr/2/b8MhiX37ebrS/drQbRrsxA7Wdy63XlKC3fazM4TLPy+Pt39tNe4UJ1Pvr+j3bf7fnu924t4FxYxuQ14/6fLX+vRhLS2WfAdbiggKKlZIqTuPE3X0cL2JmqzU6WzzIvmQw1ta0O2rLNI3jyOvrK8eXV+739/TOSTu1ECC38bop2r5i8Mt5rLq7de60/8pLV8C0+XsDrLbMaXpzDfSNsX47p9Zq6M13Le7rSX/lddtr/dfm6v/X41ZwcC2I34xr+1pYJyZI2rXZmzAWjQSKv3b8JoCVpObk9EwDrqJSJB/wWomLtdbbaoP8Gs06cCVqbW84RUn7mMqAXDNV5Sg9hIxZ2ZdazRZh1/W1l9Tx+MLr+YV5nnl5fiGlhT/9+4hzlt1hYBi67HkkpfkaS28GFuMZ5wvzKLSy3Pd5GUgKi8MYy3SZePrpCRUVh4d7XG9rOskNHVrtpVLO9kxm7RXoOqlz834m5htdGK455+rf+r7EGJmXiWnMrXG8oFhhonITZaNwzmKMNKecQ2KZZoZ91vJk7VTnRGNVGl07K61gvI6koCSlcQPUXi/yIulN9cbXMdKu65Gy4WhismJVELL+Rnf4EBjHidfXI8fzpXaaB9BGxmBJihSECTJWqihrRAkYrWofROt0jmxFCKp0wscIuRk2gHOiV9PRoxqBbrFhqGedZLEvbKqKiaRKtRYoFbKvmIBZbaDvLDGKWHSJC/N04Xg+MV5OjKOkAYtu73A4cHd3h3OO19dXpsvIPC64vgM0L89nAN7tH3m8e8/79x94uHuHMwNWZQPbDJi0NfjkWT5+Yj8MHI9H/vWHP/L8+sLz8xOTX1AJeuvEG46VmSqasmKXQiyaDul5WIwgp2lCSA2F0yo7+a+bQ8pVvHUCaFUZrNhsDAnpw2iMbHg2NUa1RnE+nzmfz/zyyy8cj0fO5zOfv/mYfehi3XimaaR0JYjJ472AHONsNt8Ve47FBDGPtAbTObrYVXF8jAK8KvCMCaW8FJ0kue/rvNdlHbg27RSbkSK6LmxG+9ry9HYzacHM9eb1NXbrOqq/BXDEIuQ24LkF1srjdX2++o7t6zfg6688r2yW7Xcor4sxYrUjqiwoBYhrYLRWj2+/cwl8inFn13W4Xqr/rLWooHL2RPaRZVnQSeP6HpeBfEjr+lGC1aenJ3766SceH97RPTxkYOWxyrw5V1QsSqs3gEPrVQ+l1FrF1wKokpovv98CXy0AFqLC1HOqTObV57cViPLz1ktLAOwW/P8tx63re+vfW6+7ZpP+GitWxmD1wKOec/u8r33OdWuqrx2/CWDVO0fwjaFgk8MtkWqJjKU5bGEQVi2A94FSvaL0SvGG1HSSB0hS2XKLsVJq2wvPGqH9YhCA5RCgNPsFpw2fP3zm47uPzMvIEgLjdM5i2ZlxnrhcPFonAgsxJuZjBO+4333gYD3TNNaNHqieLOXzgwr86Y8/8G9//CGfOygr1Xf39/fsDzsZHx8o7RoUQN8z9PfMamaaLizzTIwGo3fM80Ri4f+l7j3aJEeyNb3XBABXESkrq7r69u0hh7zkLMiH//8vDLkhFyRnyL6cFtWdlSrSPVwAMMHFMTMY4B6Z2T2bvKgnKyLcIQymznfUd3JJkMYYcY9pjbaG4/EoAufxiHNBiD3NNKHcMDIEhxsuybUUudvu6Lo1/elMDJ7N3TOe3d2x2axpGsOqa4jR4J1OljYnbt4EjH0M1IkJKk6uA7tYVK5Kx/BEQmNx3tM6odvYNRsuw8jpeEFZi7aRT58P/PU//m/87ne/4+eff+Zut2Gz2UixYRXxbmRIgMx3AlzEpB5pFEJWmoRnjJHRe4JWKCtxUM57/CDuqo1WWB1JccporRlUTv+1tCvhMjJKE7QwsPsoW2l0HrvKwfYRndjiGyvVALquozk+Mqw71sMK50aOpz1aRwnAHk5oE3lz/4rf/e53jH3Px/fveffrB/o+cebQcAoDbQt3d894vvuJ3eaeldmBWzE8Bt727xL7uQAJYzS6sXRdw4/PfuL1zvP73/+ejx/f8/btW95/es/heODx9JmgA+0qZ6jlOm1TrJD3ArYJCtXq4g4/ng44d2Cz3bHb7WhXG9bdSkBRY/j8eCZryGm1kN2cOtdbLFr45HZSSCJKjJGua3j58mXJ4np8fJT5/q97/umf/ondblf4r7wfUmFzh3NeaCa8QzuLTvVAvQq4CGu2KWZLQ+g5HmXtZAJesBirS/B6jq3Me5BzDpUKghujpgwxpkwkmT+yZutSPt4JD1MdI1UL3OU+d2vfWwanN6l269JaUTK3fA2gJuEt511blLJAuuUhyO+x/HwCf2ltXAnfyaWp1FLwq+IpVkrJnq8ngEcOMwgTH1eMkdPpxP7xwOFw4NRfZlbSfH9jDK1pSsygRKoowujKnqGiVBNpmgbnPX/5y1+w2rDb3rFq2wLybNfkDkuObAVVRt0twGuMVOiY6HMWymgCVrO/KyCagVU9D7JyUwPVnI1ZWyPz+GdPyGzcSqjNbChnwOfWsRzXp44lyKqvWwbfPyXb81xc8kXWj16CpqWSkPv1a8d3AazkJdNGEIJYAaBkT2lthGqhWjzCXzItaKN0Yrf1RJ/05hjk91jFuDCZBuu/S5YQOZbHlAKzBemndOfGWFwYiy9eYTAqsOk2tKYtAxbSu0Q74J1jZaX8SBjFgjUOw6QtqYqzKVlpRj9yf/dcYkTGAYgYIs4HPocjh4fDzN1WNjivePPmNc9+8wzbNlwuZx6P++Tm6Dme9vTjKGmjQdiTnfOptpYQPKbIAwmIvgRhVyeVsRikNE/XSU3F1rSMF8mqut/dcX+/k+KsGlCBwTspEKNzNoqM2TimOKvEVVSDaemT+SLSWmJ5ihUrRnylma3DmmFw9EPAIxXnB+fxEY6PF/71X/8LDw97fvvb3/Db3/42MY5LMD/ARacivVanjVtx6c8CaFZdildL7VTQrBr8JTKmAthSV64hmkhjTZnb2g0EY7BWLDM2C1athGsthFKxxbtY8QbJZ8ILNvGOCStzZLvuuL+/5+HhgXEUV7BSmu1uzWaz4fPnz3z88MDxeMaYBmsbogu44Nit79FRE50ieAXRiIvDK879pdSk1Fpju5a2DUQXiC4Kx4+CH1/+xGa15fnz5zwcHvg//9P/gTIGN7opUF+BzmntzqEwCWhJRl3btuiQrQVTir73HpNrTEY7y+4Ua6xDqYBN2bTaTIG5Mn+Sa1bVQdOyF9iKQX+1WuH8UOJgnj17xosXL1DJZXk+9xwej1ilSgzOqpPSQWhDp03JwsygbBzHEqsjcTdTvFGt9eaMx3zU81wSJubWq3q/yueFKlZoKRBEkKrZs8vaqhSZfH7+PZ+frfdLwT4d10SnIUzUKPV9vxaTUl8zP24L3qWlqb6H7CmVpTglk8BkccsYIr/jZrPldDrx6dMnzudzSYh4fHwESEWZPcE5zoOAsew9qStatK2F5N42xtClIun7/Z63b9/y7O6O5/cvSnJKbUGa97O5+Z2U1hElrXYhFqu+1iXrvQYhs311BlwnwFUDhmyUnMnGRFu0DLRHhZLUMQfV19bR2pq3BC1LkFVfl+f+km8ry9nls5f3zJ8tuRdz/GMB3cxd2tnSWv/7mrUKvhNglen7YTLKCTnZhMSNmpsiAVIUCjn2IN4w6eUMkMhEzjdpc2mAbgywcw50PjcNRkldEwqI+jnWiubd2Dq2QAZhVGe8Hxm3jvHS45sVrR0Zm75cH8kswNOkv/ieGMA3AXLwZ5oEw3kok7wxHlf5zYez4/4u8MMPG3788UestZxOjzyeDhLQffjEMFxwbqB3I5eLBMtHhVAUtB6jJKPF9QPj2KNxImSVSm6VhlWbiq6mWLdVK4WBu7ZNE9Anoj3R6iJBiAXT5luirdJ71Fp3HqfZPElgS8dc9igS/bxeWFQUgRmiwXnFyQ9cRsfx0nO69KANm81OYq4aQwwOGxJRXm6TLkM9BX4jld5z9pBtO7TzUth5dPTjgNYWu9IFsBZh5gRsRKUYhkFcC9ZI4oWeNGqx3sUSnyDvLRtf23asVumeAwyrFeu2K2OpVKRpBBBEPMejEH/m+Wu0LjKomQAAIABJREFUpbWdFAy2Ha3tiEGjghKQFRVulKQGrYxYb4MijImIMUT6MOLHiEETPbR6zcu7V7S24+3zXzgc9zS5AK+ax99Yaxl6UzJSlRJ2fh9lHMdxZOwHLs2FQOZtMyjd0oW5kMhBpDWYMnr5mUXFep3O3SL5936Y9oRxHDkcDqxWDSpZGM35kqg6ZN5754kaTLGGT/VAu6bB2jbFcHmsldJcMUyExnMrQ4qjWvJ/zcY/fydjBPHJDb7sJ2UfuQ1YrktyqHLu1Fd1W4VQtG6PUll8zF1yy/Z8qZ359/p9nrrm1rXz9swFq1JKxr92XSqJx4wxJ0ppQgol+fjwSdzm/bQvZ+E7ulH2mpT0Y1SBbvgxhR8kZcow0TbkwznH6XTifD5zt72XbOUYMQr5p9VsTk5rdg6srNLCPbWwoszmNXMgcNUnFUC4BUDkg/qP21l3GVTdvP4Lx7Lt18c16Lp93vyeX/p8DvjmGdu5uki2UNbAcRkD+W8KWOWjND7EUqutTDR1HbxqYhCXjFJkMZ0iqlJtQIsyKZB9YTqsTd31xMzneu/ROUBQZ1N2smCFSvMjo+9YwFbetITHB4yFGFeMvWfA4p0jNIEQ1sRUQmYMYxGsZVMcRDP3MaC9sEH7kIrLJvIzKYab/wlRZgyBD+8fMLolesvLV89Zr++5271gGAY+bnap/I4r8V/OOS5x5HR4ROnI6fHIp08fefj4nocHL1YIGyWIetXQGJ1KUDTEIWCtZbvZcLfb0XUNVuW+zvFSkRhzvIxYw5qq/EKteTylucimIcGkOhGHBjXFwLVti7v0YnUM4gJAGyKKiMYHz9AHjscznw+P3N/fs9msCH7EmWxBsHRhsqqRYyWUACupPyl1+XSyfFz0gCfSjwMKkyw6WUMfkoUrmefttOQsELN8CyIAMtEeaCEOTP/PSQSxWyWQkuO9BlSIxTpyf79js1mVQGyFxDBqZUq2Z9uuWHVbVt26zB3QRBfxUSxvWgk3mk9p/14FUr0fRidca5dWiuaapmHTbXj9/IcE0B0uCNmsNjKHtVJYY/DGpDqZsWjk3k2Bw2fORAWjj3TrtsyxLk58ZUJdkakpKAVys7ae7yvzrqnmU5xtlPk61MTf5L0XV14QJaFtW9brNZfLgE+AcFS+wCCZtw7vNd4rVIor1NrS9/3EzaUUusryzBt4mf8pIFqIE/VMSZRjXmfwi0KRSdMO4XaNwqWAqMFNFjJLgZIBltyntnYJXcutAOFiLVk2caZAUe4nHoDpe6W4bmf1DrOfFfBzOsfB5QLqkeAhViBQ+lvccMMw8O7dOz59+kTf90WpzpZWn2hB5F00mATGoyh7NV+cxKVqSbpJ/Xm5XPj06RP7/Z5XL17L+am2ZF3FYqkYLN15xki8Y+1+XRoMsjvxFjip5Vw9F750LPu//FTh5tybgPbTDOV1m6+eh2cpA24B9vq7r4Gd5dyfMpc1eEEPtTFmesfbgPRrx3cBrHTSlLI5cdlsFZE00xvplJnzqu73/PI6uyIAH1Shbagnmyyuaw3oSwg46spKFiSINmTzJqaa9BnkWRTQmhZvRlRMbaElpkrwxg9lE/JRNKARh3NrAokkNEZQ4jYVYsJssZoWplEKPIz9yC9/fsuHD595+fIlP//8Mz/88Ir1esNu+4KxFcqG7A6M0eOMYnxxAQJDf+b169e8/esOo/7I6fiZ1mohRW0lNkkpJen7Taal2LFed7QpNs02eYIGyaiZLZIpUHxplr6lkZYxiQqLaPhRRwyS+aW0RrsgTPF6FEAVPd4lYKJbVrst292G3d0d3ik+HySA25rkGsiLOcZSizA64WzKNA4maaIhgXe0gKvgIiShP/QjrWrL/BI3d49LG24dN+h9RKrBpNhBBUxiO1kuAjpoohLWZqlUF9hut2gDd3d3rA5Hdrsdz+6FQuB0kkxRay1GN8Q4kcOqoGhtx7rb0KimWAtDEI4dZScLCTnI14vCkGsqjiHQnxx+49GNwoWe+/vnnIcLj8cHfO/x0Qlth56EWK1Zt2Yqcg7JLYOGi2R8Xi5CVmq1xRqpjxhDwCnhCiuChaSli5G7FAc3WqMry0yes/m6HJTcNE2pnZj7or8MorSg2Wx2GNNzOl04ns8YYwV8alHoYpQ4QR8D4+AKyBf37JisthFdKYtX+0ti8q/7I6+TK9dLCSyW/eVqf1pYFqZ7cfX3U0JiZgG5uR/eEIhx4hmc31vW4FPPutXe6fcbVpKqjU9bNWTd3BKE+bNIoteIgfP5zMPDA6fTqcyLW21UShVeRatF7Vml4t4AU03WULILBZg5Hh4e2O/3uBwMrxzGSFFqa6XKRQ1+anBVf750T9UGiBr8LsdtAsXza2O4jnOruzKTS9d7tSQgXbvvbo1t3cb6Pb4FoCzBen2vW5bNL7Vjed70znMlZwasuJ5n/2aAVT6eMhkvrRhlIeWswDh56YSGMhtpZVnGGIuvPcevzJ65EO5AibGqtbgsrCNx2lcSn0zUMbH5VoOgVJp8qlhVjGnQCF+SKff2qKoel48Sk7JK7jdtDafLBe09hpamCcVPvQRWSimsinStZAy63vHx3QMxaM6ngdevX3F3v6Vbbxj9QD+cGYYeHzyNtazbtQR0bu54+eI1m24FIfLnPw0FWDVWi5srxcBlzX67WtPZpoCq1WoFTLFCLLSl3K+15pUTGAiLMU//gUkkqSlLRpFilSAEsSoZ3UjdOeXEAqRbnr9as9vtePnsnvV6jW0MwcO5d9ytU9xI1HgfGNOGYUwAFwV8Aq6LYKOACzTOhcRK3tJGhR+l3cMw4GyDJScmSOyQth6TLXMw8V9psbo0rWTsTXM3b2hiqSOClNoxNKGBTubp69ev6ROAC9Hz+LhnGLJlJ5UJckIh4ZRjQEoyKEwqtpy421zE2rx5U4AsSDBwCAI6lRJLkHc9/cmB8YxhYPtqx4+v32CsgoPifD4So0rZOsnqO2T+MjPL4rHWYtUEOLPrJMZI6xvsalNcvLkmoFI5ziQA2WUyxSjVm6fMsblFNM89a22hGMjs98Po6fsR5wIvXrxgu70joBl97bYS93ZEiat/jJCAVNu2nM9j4YxrW1usJ7WAvN7zpO8FtE2cfiIMrytGKJUtnLfdHV+zRtz6fikAl8ck2GACdlNc4BzopISDOF27fPaXBFVNBJv7fDqye/IW8JvHdMm+H6q2T3FWMcqalaQDd/X+dfyRRqGVockB01FcfwaFi9O+bKyuwFYg+pBKTp1kL9Aak0qsZaJOnbJha5BUV7+oQUXdf0vg9ZTFKt4AQkqJh+NqXlW/h4p/rV4/t+fYdVZg3ef1Z/XP3JYMDG/doz7vWwDVcj0sPyv9p+xsLdbzcgkIb73LreO7AVbLji5mOSZCtZwKXQY31tfnRQwwLaLsT7/1b/n8ZTD70v2ojUlB8ZkBV4gJfar1hhKWJp02+vpQSmFNS9sAVq43VdCcjmJOjzGWwOGRFrTCBY9LDMIZNObA+Vzw2NbcJFYngdbinCz2z58eeTxc2H8+8d/++3/m/v6O1q4lhsZrYhBeJBLxamM16/WGH374kXEY+PTxbwQ3iCXAGBo9AdDdelMK3eag4KY1rNqO2SAlq0xeNnkTk68md0UIoRSDzt+ViZ1dfCpgs9sHydRrmoZ+8IlkdWQYHNq2vHx5x0+//b24dTZiUQvBEbzD+5HBeZqosVoEw+AdIQi9gg0B5wMBuW/UEuzuk3WKkAIiG2Q8XRAm/DEVbo4txsQCGksh3jTuLuZsMGFtDiUrKIhLKPoim0yaf4WHJ4gV7c0PPzAAHz9+5MOHTwz9iLUtq/aenBRidEyKglj4XD/iB4e9m0p4CLNzU9zJmWaCKHFY0UUk9NETjYZoic7hXcQRwcNuc4c2k0Y6DBeiqoWTT+B/EjzZHWKtxcsCKzxyEt/SsFUaa6XgNcYSjZd2ZUsVIuC00nJvldYvt90ItWaKasp6AgF52jT0fc/lIuV+tlvJzLS2LVxXzjkhooyiXIXgCcnd3bQC+nL6ftvaAoyWrjl57lxLzq7Jp8CUwiSlbXKb1EG55by/Q9uuhW3tapp3nr5yAS35tW6Bp28RRk9Zlr50LK0y+T5fUtKnZyUgktj5D4dD2ZPyuXmO+iCiUqMw2tIkOeRjKHMBwKfxqAssC8ebLm7mx8dHnHOs16si0yayzglcZZBRK80h5Pje67Ga+uI2sKr74GuWpq+NzS05mi3CT/X/crzqsZiB2SfIZJfXfanty/deKgj13yrM51r9DnXb6u++dnxXwCqbUGurj2RjxGKenVk16mujZP2AKNlSYVwERL6uzgiAaVLmzMF6EH1iyIYq9dRoKc8hlJSJzsHLYkqp1FYpvIloFUoWYQhI8csUlyS3Tf769LNJ7iAfXVmo3a7l82Ev921XJe7MOYcLYqkrQklPpTUcooFLgdBQFr3Wlv3+yP/6H/93VquWFy+f8cMPwuHz4n7FiQsPH99jjMU7z/l8Yb3e8i//8i/sP7/nz3/8A8MwCIVCKsljjGG33ZXft9st280qCYVpXOsJmgP0M0jOY1M0SecZ1FDi4GqNLXiVKBtIhHdaNreUQi8b1pYXL+/YbJ+z2uzY7p7hgi5ZPh8+vOPDu7ccDp+FXZuB58/uefHyjt1mLaZ5pWm8xTRItto4MHpHcxlS0dIMXB3ehUSPML1jLqfTdbmchyImvpjVZg15sXqhjcgUAOS5qoGcfo0UHlbJBGts0nKdBH7//ve/Z/fqBW/fvsOY/4+//vIrh8974rZhs75nu95ith3rldBi+CHS9yOn04X7555G6xLX0rteAtWjlEUCkitRAKVC4qa8E9fgMI5gFatuxWF/5OWbZ/y7n/4bfvzNb3jYf+L9h1959/59WbMSwD5KTOFKah0qoO8ly3RwUyD4JWXbRQLD6BJ4l7nVti3j4BP/lcGY24CgjheaxTTFWCxVxhh2ux2Xy6UCVy3r9RbvPW/fvuXT5888f/6S+/t7uq7jeDxK6aBkkfVeAKY12wLSJGZrTETDinWyDubYLpnHobQzDUEl0CflRRTJbM28BhNLATtlet125d0CMfWee8u6IG1JAfQVuKoBqVhja+B1uw7sUsA+JayWFpqltWZ5bhGGpewOgK6sv/M43Qx2/vrXv/Lu3TtiTG7AFGO17bZi2TxRMtPbRJxMiIyj51IFuxtlGMeR0+ORoR24vxcLuVGacXD88ssvbNY77u/u+Ok//A8FPNUWJ2NMGevsCix0N85h1JxuYbY/3shim8bOVAHbFZjRetYnMLdYXVmpqhioCYwsrYlfHsdboCq/o0/xxsvvb1m9bt3zllXq1pG/W9JP1O+8nG+3LG23ju8CWPmYM94kEDAbcQ0Kow3Bj6BAGY0bXdk0QrZ4qDSkuQ9jJLgxTVDJQtNAY7S4iKJHJd+G8sKhpGIiHzUZuEWUSR1rovxzHk1OYY6lKKZSEZeqYHst9fy00gSV4p7GiZPFKyEcNCiUVrgwZacQQUdLozW2abngaTuF8w2eHpfKq3Stoin2/yAEnsmkrLXGuyN2HAuoalIiXowOywBKeI8+fPjA5Txwfj0md8eWlbrHuxFl4XI60V8cr1/e8/Nvfi9uxV//AqOn6RRrnYJDXU/TaFZNg42BMIxoGyGDWaVma05piVNzIdeIBKUj4Im5HqIfRcqoBq0NikZoLRqPbRt8lNI8Pgj9RAgNjbZsnq9oug3desNme4ftVlzOPf/vn/5vqY23P7Lf7zkcDpwfz7JRaTieoO81L1+23O02rFYtKhrG0Kb6iI7+4hhH6NYtTSP18XyA4JM7SIPSARc1jeoYo3CMNUpLlJYa2G53NMaiTLLoqFy2RJSDJp5QQSXLUCLBVAoXJHOotVoKBHsJw41+xMbIrl0Rn7/E/8Zjafgr7/jwfk9rtoyjp1nbxIHT0bWWw+GRwQ/Y4CV+K3iiNZh2xRhHjDUoY1O7JF5KR8mZdAGs6QjeC5knBnd2bNY7muMKs17xZveMl29es2HLh799xAeP1RrjFYwOpS1ds4KgcC5Z94yixTA4ASpt09JpjQ0wuIHeOfwghbabtkUrRduYFAYQUjq4F7JOxFZqEh1BAVxKgKxsxF5IX73Ge8molGLkihgd3gtY2O12HI9HPn/6wDAMvH79mu12izENnz9/lr0iuSKj1QSlJMFCWbQ1aNVI6aVRi1XSDwJMvcZEC0SiyspdkLWgBKCEqIkEAQqptI3s6dfCc5mQI4rkU8HKS6vG9N0kjLKwrYSIGsVCV7nqCymkalA6uwPnwthJqmnZpGN116CAGwIwAgGbgGSUc1IUfLFEKkXmSJMkFfnPKiQezztinJTcGCfaDZ8ARgZWhQhUGTSiuCkULg40TPQHuRpHQGhSbKNS3F0q4O2dhI0EURJtcuddwoXjcObD4QNvH37lP+j/McVqmcLG3umUAZ/inpQIJ4ieGERGmZBpFcRCK1Zbk+RHGn8o4RMZeAUvGYhJa5Px8TmsQpKhbgEGpWuS7UhtoCzKcEik2slbpJTGp9CMPJ+CVDQFJVRIALGiTxgJadDnLvP6Hk/BpJkFmrmioeMN61ecFBSf2punYJb/MVKti2ndZGvnl47vAljdQptKqTKYtXm81kr0DV9subZ677rTs7C69ex/vO3Tc+ZtyBpBFbynJaswqnk8Vt70iZTsQkOKvWkayQzEoDPHRqWJGqsKuJJ+0wzJHTWOqZyNEzelbRuG3uNcKHEsv/76K4fDgTdvfuL1mxfCeTUmgkgtWv39/T1v3rxBh5HTcY+LAZeFZWW6nWlEiz6uJ3aICM1AAlZlTQQLWmIQohZtLspFQCREIW61yhAY6fuBkGoVvvnpR7RdoY0lKk3f97z7+IkP7z/yl1//wtD3XM6SBZnpE7TWDMOF4zFiEsgZ3TaBqxV2neNhxFIYRoePjtWqZbVpUUqoJfzopKRQ4mQTa+GYimB7Vp0WPqxGYilkTqR4IKb5KbFNiEUrx1XIN0Ww1jE1EkRt6boUS+Uj+Mg4RN79uufx8ZEXL16XeZQBfD6EVkRfCd/ZPAZJylCKPNknq3EmwlQ0xhZrxzh6gvElqy72Mv5tqxNvmC4aeLYeKTXO1m22XOX5Xs8xmU/TuXl+hRBQ2Q2bXGlZsGSNPSYB0jRSUiQocGEkZ0fm987XbLdblFKlwPXhcBDL7HbLfr8vJL9jSruXttdjOlU4yIkKoiXntluIt8vI5HebNPZrLfwpK86yj8p4qrl1Sz6fzpkA2rVL76bgrb5bavTT+d/mclq+x9TGymKSrUMVfUV+Ri0rqC0O1V6b16TExnlOpxOPj48z/qJbbXrK6pbXVf29tbYUKe/7vrTde8/nz5959+6dKHXGFLqhbDmRzye+sKkv3bxMW/W8Wy6rW21+6oixhrq3vru2LH6L3Jw9X12z7wupN9RxVdfJGpVlbHHfL73fdO2N+9ywaj2FBZb9+C2Y4bsAVnC7o7SayhbUG+rymjLgan6/2uw7n2jfZh7/e44pvbnKREmusMwUr3xEVYGFUSlQuiyscl3KotJJOGRgZQCdgyL1nETOmmrDxGKt8OiM44gbBQTFqFLqe0jp7VbikS5H+uFMjIqffv6R7XZLOEUu/YD3jss5sl5vefPmJ4gjH956xuGC0Q3rdVcsZXnjyIIscs3dM/VxTn0X7TbLbKUUJhrG6IuWoIReNAl1oVBQSpixFBHTKFrbsto+o3ee86XneL7w+XDk4WHP4fFY+iGPT9M06KjxYcQ7qY+23+8Z3YV+2HI5b1mtVuiXQvqXWded94SLZBSZZoqJwEScM/gUUxPGyQWrlGK9jrOU7Dz3MrASYB3wLmmqZilEs9BPrpgIWjeJCqQhuCPWWu7vdykTzvKnP/5K8JOrNbtr3TgRCo7jiFoIlLJu4nzN1AHIwY/zTaqiMhgHAZ9BCeHsdrMjxpjY3JMWqYSSIGuHMLnq6oyhDEr0QtDIup6sUCFU8ZPDUGIyQ6L0qLXffG/5W4CjtTHRq+kyFnm+bjabUhpo/3hiv9+jtWa7vePu7o4hue7r/cijyuaa14X3PlkQpCxUrZCpKDXrloBmpkhqscPNrlOKJ+ThFbCaKXtq6TatlJ5iMbjOYKyFa33tLeWpvuYb5fsToOo2sCvfx+vrQ5xnKNbAKoN5leb/fr8vYzq51KbkIGDWVzUIkVjcibMqrzGhgpE2nc/nojwQFQ8PD/zlL3/heDxyd3dXxtFaW/jcrG1n660G7Pk9l+6qW332FLhayrovAqsFqF0CrKeOK5muICqpJVr45YrL9jbNznK8b47/4rvlXKmBVWlLbQxRzM5fvsOtOfg1wPpdAKvlC91Ck2XBL86LsWYmmR/CxD4HVsv7/73tvHVpfe/ZxpTiC6zJgEmyqyTvWq4tm71SBWDlgYth7l9WSCZczhTMi7hmo9VKNB5tGiwapS3GepogbNd93yPO1pa29TSNEetCCByPRz58+MDz5/fsdjtCcJzOA30Y2Ww67nb3DJeX9MdHDp9z0HUzC66ESeNVYWL0XQKKDDrTrymAX9wzsqCyMBfwmX8q3RBiQ0SBNaxMi7Et2jY8PF7YHx7ZPx65nAeOlzPny4BSsF3v6HVfNj3vPc4M9H3Ebrf4MELa1Pb7PZfLicYaTNB0mzWbFDeW08adC1wuA5lJ3ihD24pr63R6IHhPcBPINNZi7MT4P2V7BXJ0upTiyIAhz4XUD6mnYhAKEbF3JnZx3eL9HpXAwHqz4ocfXvHq1SseDxdgIui01uLdWOaez2tP18z9gajizOpSzOnherXFbMJPoC+EQBihdz2X8cyzu5dY26IeP/Pp4THRY8SK3mDEOfk7qIjNQFOTbfATMIcSo1f6UEFmGM/zL6e7B9PMFDKtU//NNumskOTnmBTILxaNplGs1+ukDBkeHx/5+PEjw+B49eoVD58/Sy3QykI1rQcllouo0rqwhQwyGl140gp4RayDV+AqqBL3s9h8ZkrLLQAip81B1S0F9am/v3Zfnvjuqfs9ddza96ef+fPrNP2pbU/fV1WSoxayOWj9dDpd7eGZmyuD7Pn1lRWRSQmS9S6xlC5xYIUUI6yVuOvGoefjh0+8e/eO7XZL062mPVNrfHILeyguvXLoWEDJfEwnADj1iVqM221LS63sPjUeV/35lTGX88oT8ifTeCajVC3R63m5BHBPJlM80a5b383eqQaJT8j0m9fxbfP5uwNWs86tPoOUKVNlyfgYF/eY/vZpceRSCrcmw60F+jUk/hS4muoVXaPtIJB5/lwlmrbSqhAD+6wZlPeQjLc5sJKF2zQtTWOvrCAxRkyUsh+iGYdCbBijEHyejpck4LPFa0zuQsPbt2+J0bN7vmO7vQMVOB4/o5ShbQ3Pnr1guJyI3uOGC+fLwLZrZwGWIC6m/BZZqM9AoFZE58UtlqvSZ3dXlGBtccPngGPR5JVZl+LAmT8LbekHx/uPv3A6S323oDTtqiOiuYzC2ZXHuLQzgRyjGlCtZHU5Ofd0OoGKWP0rbduy2WxYbTpxD7aWThtiMIze45SibURbbTuD1gcRjWmc8zwcnRCymqAxPqDM3OQdQ0QlQktVPlNFq4tBCSNQDmzHopRPY5OTPHq8h67rePnyOYpjSf9v2xZx27nEojCPGxFwYZBoCJO0SyUVDtQ0p0WYhAJQskAp9R1tS1QBdzlzOl64f/2M9WZH03Rc+sg4JF6joGYuvrzxihsYMU5md2heK8vNM5VaUpU7c8jFk0MQhvg4la+y1qKbxEUWJLZiWWNUpWLY+ZwQAk0qLB6VAPPHx0ceHh548eIFq5UIxmEYy1qr3ZgKcTeWEiaV5WyyRmWKi9vp6pEbe2ScAHj+vD7nqUMA41QoWz67JZgWZJrMQdbXnjF/hydP/Sqwy4qHxGHmNtaBPtlNntJnofR73fb8u9a6jE92A+YsXlWt15hiWnMM2VzJnQOtuk/K7+lZbduWuRDTOefzmT//+c+8efOGZ3f3ZR6Y4iZ+2npSW99u/Zv6cN7GtMRmx5fkXQGg+hq0fwuwWt4r3gJYLGX4PCMvP+sWaKqViTyuy7mZ99IlMM5r9Clgle9xa47/mwFW9VEPVF21Hiia/tKkX19bOiptrtlEX3d6HQf0rRPjVhsnMDNV1s78P0vtMMaUuXjrfmqaAPm+kMGawfqADVK6pWkaTGOFf6itiEGrFeObOUt1rAQNUReXWJ6MJpGvxiCp5G/fvmUIAz/++IameckwXDifLqh1y2q14fXrN2gV2T88MPbnAlZmmX2JqymXb1lqH5TYF1VdUwwUaBtFSAWhIAhRsjMb0yb28BbTirXs0o/sjycu5154g9CStacsvlO0CkoWpp76xqhcUiRpkxicB3XxDIMnxMDDw0OZh+v1mu3djt1uw263w7ZtqnvnCaGFaNFGsV7doeMFM4iLaPSuaMS73W7K0lTz8RbLywJskYMok0UrSqCoihFtFOI3TgzmXtyQ4xhp7IofXr3C6DVNsxJAaG3KUBXuFmMMppEA6xoU53lrEMoCXVkJUmRgETr5XybatLqRTMcYGC8Dl4vjPhpWbYPb3PPi+YgbI5fLkOZnLHN9SMW4lVIoM98I67WhVOaqi1WcYm0VDYzBlznufSSEoQQnm7bBWpt41hK4IlmpyJmq82yrrKBZa7m7u8MYw+Fw5OPHjzx/8YK7uzsOh0cul2GmXABoo4jGoH3OQErjhriLJND92vK0dDnI37W1YqJt+BalsJ5r9b60/H4SStNzn7rPtx5ftmw8rfAuFdnpuQsL0hP3XyrtugIuY+KuyvxVt9qTn18rEBKnOFknJf5wbpknhTLYlMGbudmksoZwpP3xj/+F3/72Z168eIHVZmbpDEEqINTjmxpX2vhlUDXvg9zOL/XNrc9vHd889rNyN3UMZ0rSWIA/ufd1cPyXwM1T382UDK5jPYNsAAAgAElEQVSNJv/IOy7X45eO7wJYLetWlQUvfIsiXL1kX+mmKpCYNcK82aY6bsEHMgOuFHPVYh3Qkurvo1SE9zGQQlmTmy6WbJXa/lX+rhZ5BlT59+y3L8WkF9p9rCxP5GwFrVPchQi6rJEXLdJ7TGOJWrg9olZ06xW2abCNRtmJPK4+dGjS8xOYqoBVCAHbZYtNLIHcIQTGXtMOlqjgw3sp7fDq1UtePP+Bzw+/0J/3rFeaVbflzQ8/s93ccTkfiZf9DFiVMWRKOMggFzJgTIVEVQ58h8AUjxUymZ9u0Ej8ge1azPa11CcEoU749J79fk8/DATdsNltIaU8j8Gz62QscqFc54ZkPeoZR8s2dthGpcK5Z/QQUKpDWc3oek77C5fLhb7vEyiR+KzNRuowPn/+nB9evWK9hmPoQQWe3d3TWENoAzFzkrmRx9ORZ/0JY5MjT2kwChsTl5QSLRd0ef+AuHBNKs0TUuCGkH5rdDrPu4BRUgvQj5L+/fzZS2yz4/HxTAiB0+Us6eHnoRTQVtaA0QQ0MYAKcp+uaRnHUeLH0jj6cYo7yeVhaje0HwN9GDlfBh6Pe4mpMg0f//aAaayAYbWiMSu81RjTJksBmKahUbIegweTOL7y+pNECSVedJXpCVLNRjvx/ggVw6raS6Y4rctFskDjcEZrzX6f4hNtQ5cISDNBapMKZSulSkFesT50pdhy2654//49p/OZ+/t77u7u0Kov1Qwul8uUndyCQ2GMJzR5/VuszVbtMe0HaVMvrvAkxIvFMFmaEjlqnV5f7595HS2Fbv4uW1Fq8FC7MvPOd8vac0twXwvppeD6NuvWNbhKbnJ8EbiZVicrnnL4pHikdZO4BWtgki2qXdehtebwKJxSx+Ox0G5k0CWFmlPfadm/6jhFIROW0IE6hlHk0BTLKcDeT30eA6fTib7v+b/+83/CWlkX//2//+9QWnPue4xStLYhhAz29GTrUYrGtDesOtP43BqbEAJGT0lGy2OZFTi7N9cVT/4uS1WMxOiKgpgBI0BUFVip5OnT4HA6p/bUZOVnJj+reywNKfX1Uc3fd0kWegvwfw1gfRfAaonKy0tW8Rw50NbVSDVWC1FRwItYccRa4mOg0XY24Woej7yQSnxGFYSaNYi8OKxtmOJh6jZP9QdDqNqQA3VLeusopuC4IAqEq0klEyURnAbZ3JtVR7deCS+SVigjAm7Zl4VPJmqUCgQV0DFIqZYQcT5NVBVourZkSzVW0bSSefh41hz2RwB++ukHNpsd51PAO8fAOJm5uzX9ZT/TtnJf98NUpif3SdGUQ0hZM0nbVgYVJcMMrfDuwuAiWkPXdrSrNavVCmc7Do9nHh8fhcn4cmZ04jpct10BwLZraRZauRRTTi4ZA9bq9MyIcwPaQNM1oGH0uch1WlxaYW0KTI1wOJ6Ib99zPF7o+5FXz1+wSYH8zgXaxhDCtJkMIRLHkePphLEWbQxd102EozFgdYvWnhB80dyEE0isHLU1FKXl/iHKmAXLOIhwEUuGbGDeB7SyuNHLew0R7wO7u7XE6dmuxO/Ugbp+GNEIXURMyki9Ppu2K78DBB+5nHuhRHGOfhgJyZLrEqAdBocPgca2REQ4xSCBwsPlIm02qTpBY1GJEDdGIc3N8SrZQlYTEhpNBbCmuZhLk8QYMUZLO3xWugZiTEHx/TkBHZf2j/VMWWhbEWaZY65tW54/f87nz595fHxM+4divZVg5MfDZ9brNd5b+vOlCO5CNly5TrNwljUkRMFXWnfZLyDXErwlLOqfmUuu3mPrfWJuHZ3uVVt16+cvgcJkRZkLIWnPvE31XKnvCcyec0tgi/U7P7Piwwsh7X9pf11U1aj3IsIcGOafUix7cgMW5nRjpEB7jPgwzt5dKZWstvKsuj/qxIvldyFIElEOjej7nr+9+5U//OEP3O/u+Omnn2haSxgnwCv3CsnlfV17bwmYa1CQmzEDV3ZaEzVhsSi912N2C7TfAtI1AMl96/zt++Vz5O/6vvL7LQBYnhEmF3ZtVMhjVrezPmoFpPRFlkeLxI36mbfA1PL9bx3fBbCqEeZs4G4sxPxPa413U9kCWcp1HAAzSoIadebJf2vjqNtxa0Lke4hF5nrgl0BWnrtkdU3XpH9EfTWBS79kQJJjpnQjfCFGJ2CVr1lssvJwFFI6J79q1BEdLIEsQCTLLsZIkzbUyBQX5b3ncDhyf9cRfEd/cYS+pzFgjGhoPgk0X1kQswZXW6nqTU2oFIQFPJCDQFMKuldg1jRa4nW61Ya2XaGNYX840vc958vAMPoECjKAzUzeKt1f+t05Vza4GDu0HlMguSHGwNgfsY0mYhnHSM1z07uRoIJYW6xQK8TR40bP6XSRGnoYoTjY3bHZroVxPtX1k4L3gQ5wTjbxuUCUbDAKF48nV+9eCi5mbsG5i0SrFq1HtPZo1UqQOzFph8IKLoJnGtusrc3mdIxi4azmr7iQZT6xWAe5iG1MsV4qBHHbaoOOSpQIkjvOOYIBsMkNa8v9JwoGqcyooioFyQFUGtuAcODEkOLzUKVMUCib7vVmqLXQXVirMWEiIc0bupB4GkLoSpB/PsfaqRZcvk9u1263Y3RC6ns4HECJNXO92XF83Mt5KWllHMfEr7Qi2slFYUxDZGRZDmS5ed/ay5eCbrmH3NpXbt3jHzmm666VO6pMwdz26/d52rUy28e+0oYvvV55Zpz6KgPcTMqbyxnV8sf7MAMmtQDPXgaggFCYkibyOaECqwWExZy8orHGsN/v+fXXX3n/8QMvXrxgvVqhFFM1D5LxMkZQHq2meoLLf/kdbh0ZDD41P5Zjdsti9PccT5+/COPJ7UZX+9yXn/cUWL/17jVgW1qeyrgsXM21tfFra+ep47sAVvWkqOkVco/U39do1etqI7rRaTCh5xpt1lpFDa7y+bc2qy+h1SUSXmoRy0OrpXaZ3kvEhNRAjJAnulJqFoOhtUUZg7Y3rHwx4hFC1DwxYoypNEkKwgyREBKY1VUg4gCD63E+smqEmydEx/F45NXL12i1w7ue4XIBBa1VaKQmYLYi1JpBPSnrRAJpZwo6TlarmDKhRi+bmm0ETCnTiKVQW87DwOFwTPxcIy5GgqJkJiozWQKM0cka5JOLpbZ+AsqgVEuII/1wSOSQAn7qTNIYg8QhaSno632UWoHGAppzP+A/PjD2PednPc8uO7qmJSi42+1EqEaPbZLGGqcN2BcdNJvhYWmBFOtUHexZWxlSEG3UWGVAKQYVUWqQ2okpRs17T/CKwCjxINZiGy0EiEpNwV4kHq0s4MOk6ebe01pLBmsCQRElNSNJzOzJ/GqUlMr2KZEihpGhH+kNeCcgSqwz2XUisZHKRzLaiyq9r55cS1ebIonws1p7teUl/xSgbwnBYJPAy8znzgWc79P87Mv4ZGWg6wRYi6Y/ry14f3/P6FwhnVW6ZbVasV6vOR0PxXUrglbm4jZt9kFlYGVwfmTi8tHlfeuxXm709Zqvv3tKyN5al7eOL2nkXxJk8713aTG4vW9+k/BSOet0Ck6fA0lJhpDzbgvXGlhlkHS5XIrle743icu17J8V4Cj0H2rBjbgYixiTO1KpGYjPFlh5luZwOJQg9h9evWb1449gNC4V8xYrzSTLMNcu3iWwqvt11ufxes7M5w83r1vK1KeOJbiv76MwBcDM2heu52t+31vy90soejmPpjCUaxenqvpCLcYxn/ePgir4ToDVDABUL3NrgtST+PrFK40jTmVvygRd3GNpzcrn1uCgNjlmELR0Bdb3rWMQpkHyqIgwuzOZHkurM2i+SiUWV4lShjoQcDZxS1ZV2rxAzNRGZzURnTl+kDbEJmIWfCgAwTjatpHYrqDQrZaCt2PP6D3r1Yqh73DDCWG69ng/sltJcHTXdeIG6vtiYp9rgVOMTtQKRcBYS6oRw+gDwxjwPvDsbkfXrXA+cnEBnzL1Bu9wQYJ+JWC0RanEEWXFBVy7WRwj+ECvNcakel9ipEOpUGq7oRXBS1xPUAFlFcormk6YmEEx+sgYPDFKvERrWoY+WSv2EkPmhpHtegNmxXarZM+PknSgdIqjQVHpvKgkOER45nmjZ4JWZcqJNM/JtTEjgEGrFVo7LAGiTynekegk/kqsgjkLUF/P6wpcSSNqBUM+E8051eHTk4stB7frBMkyYWhMxZ61Feb/cfAcg7hYu64Ty0GlTYaYA3ZHohKLrElB5IPPWZ3XbY8x4pXwvi0397LGVE6wUKg4JTLEGGnbiGms8G+lOZ1jqsRNEor7L6rJnWeMlHZ69uwZzjkeHsQtuFqtSukbsYhQkkim8jRGFr5WaGtQQd3cj5ZK3vyQWpJLJXD53kuh+zXF71utBdO5tywN8z16mtdPH7faLnGvt+9/q1jv7F41pliAiJwRuN/vOZ1OYklWtSV5eq9bbte8H2s9L5cj36X2FUCWPxQrrE8JLzFKbOeHh0/88Y9/5Dc//sSL589ZrVZpn1m6a69JQOvja2BAqCPmfTF3Hd6+/hbI+tJRzom6ZDfnozYkLN8h73ssnvEtSsNT7QghoML1elIVQK/vVK/Bb3nXp47vBljBvNN0srDUACdrkvn3GJltEtn06kNgdOPsXkoJn0yUmVWuWXZgPj9P6vr5MiEm4JVrYtVALWcT5QmU0XG+d3nHBKZU9Q7Fg5H7w0jQotZaBCNToLDSEnCsUt2ufP8Yo9QlrDYHqf1GMgGkiukzF1AObE/CYxwIQRcI6KNnGByrVrLIjBEizICHEDCNxAttNpsSCJ+zMZummZnIi4VQaXwAHQ1DKhTtgwJlabuGttvgUDyeTpz7XoLr3Tw2bhKusbi30MtNQMZsOl8BBmNFQxvGE0rXLOkCfnK7gbThSoq6fJZcabqhaRQhzZehd+zjnnfvVgRznywXK6zRaNvSNGOJa5jFlWTAHbLlDpkcUadfhNqBZNOkbNQC2mUDk8BOrVtM9AxxlM9Vpt1IGaQmsa9ny5PRJbMOdOk+AUppBuX5OVMcMr9Vtj5lqyvp3gE/KvABj7gB/ThyHi5Ya+k6JRbAIHUfxSoWEzBTRBUxSstcXqzNKfZpignTC8BVA685oFAFCNaf2zYytmJVk8xKGXvvPeezBL1fLheikrFfr9c0jfTLZrNJVlTH/nDm06dPAOx2m+Ie9zEkl6gv5KVU+16JtywCI1tiYKIcicXGmelH8vX1nL9llbpl0VgeXxIkTymisg9O59TAp75u5m/5yjPqv0P09Rnp8+wVSJaq6ruJeuHpZ4QQGIZhFrgucqOOHZuHddRWbK01Rk/Fy2svRZ53McZSg7ZO8nAJMEm85yA1L8eet2/f8qc//Ymff/65cjWHEsKhlFo4iq/f6+s/54Bh+fPJ+1ay4r/umOZBkduVa1AsS36W4V6fe0tBuAZm0+/lXSsZfUsBWRpcZu37B9/5uwJWy+MpVFvchZUZMQTJ9HN+mrhKqRJLEtI+lDv6S89cgqp5O+oAxVucG1UcUcliSZsSyW8exaKZ721y9s+iT0QbAlSygCaBFrXCaKlJJu1NRXRVcntFP2U7VhpYjNNWXU+0YqoODm0sJkjcT0xuj46OcRy5XNKks4bgIoSA1Rrvx5Ihk2OITArOrl279QYkRVI1o/d4LwH1xjSsVmu69Q6P4njqOTye6cdB3H1tiwp92bwyN5bWUwyXvFOuvRdK9l1nJUjZNxL0bKwASucvRYPNoCpngQEMfkBHcftBCopOyRBSEFUlfigF3uFc4MOHDzglZKRvfnjF3d1OLBW25Xw6SBC+c3gfE8CVe08amyq/C+u81LPTeiqDkpUwjYUgdAJEK8W/TYM1mtVKaAS0bVHGYk1buLNsU5G6Vtq9rA9dxJVCYxUkz3HRoMdBAINRCqVicg2mNWM0zk0Wi3HouVwku3JMfZz7eXAen+do3sDTz6xEuRjKOs4EuQIIdQHvWllaYwsonmL6ri3OeTepaUCyFc9aS/BSpDrPi/O5L4WVXaBkDDaNKCKr9Zqu69hut5zOI8fjEaUU2+06xWu1KHUhJMuXc07mrp72lWtgxZXiGKOs6RLEnsYjlzlZHnLN9PtTWv7TVqdb513/nS1KszAO5iERy8zvp+57C1xVZ5aftSJbf1f29+p0+WwOJM7ns9QLPZ+BpLyOywLG+bnTOBXOtypbNrrEs1UUa7FSqQjjkLINUwZ3cAFUJBIYnC8g6uHhI3/+85/553/+Z3bbLYYM2nx5blHg9dPu3FvWpTx3tBbPxy1w8eV7fDu4mI9X5VlZzqks7yoLWpk/9R2+AqqW66P+fVIGroHSLc9Sff/rd/n7ju8CWGUXjVIqWTYSdb8PVdBgNsKoGc9FfdQDVEf9BwWEULTFxkzn1wOktVQgrxd3vp9svhKHM2XNpCDF4CpANllTCj9VdAn4TItVJzliU6yOYtJgy8RI/UHWjLK2m9jb80QMM801Cbp8DZGYsyBDyvhyrsRYyQNTcVgtoKRpDZ2SjLUs5D68/4Vj6HnxYktjn/FxPAmr+UqoHYZhKFp9dqPkNtX9WwRhYxm9cCU1bcPadjStFFC2Tccvv37kdO4xpuH++WuUkbiWphGApFMWWF0yZ7ICTWb7rBmixQ0kge0RbSSu5niCcexxbqBpmuK+OV0k47BpDTGkGBmgaTtWqy3WtGgafHIfaQWmaQl+ZOgv/OXPf00UDcm6GRxNY7j0PYfDEWMaoQVYKfFLxgScfOpwJQyZMeZ0YLFaxZjnVDotRlRUjENAW4sxLeuVpVtrXrxshbNMaVwirswJD8fLeZ5unwkWY3IXk0FUHrfUx+m5fS9M441O1js71UwLITCksWiaho/7j3z88IHH05FzSlWPdyoBadHE81yVQq2SDetDtrZGmiSAMn9m13W0zYomAS6jG1qTSWin2m3ekYglJyFRaE0MEFPihm1me0fbruR672maS9k7BieM7u/evUMpw8uXL9kfDmlet7x69QPv3//Kfr/HWsvrVy/Y7XZcLidOl57RSUUA6aumtC2vlzrGk2KdqtpfycIMCCOTkLjeD78FVF1/Vguy+pyl6wgorrD5/ZbhGtfKbP6+ForLNk3X15t+bXmoMyh11SadQi/S/fy0l4/jyPv37/nll1/4/PkzMUoogQlm9m4xhkLHkWuL1m3K98tzPu83eQydl70n0zvUwlzm6URUe+pP/D9/+M9JBg38L//T/1ySboQQuilB97qZlPfagvxUH87HcZ60lc+tM+qm90/vV8nLp46lzIQUOzsDcToZFVTlDZhUuCmwPVTXzN+hjjWuLagTdphXWxFr4ZwCo5ZFAKN3s2fVSs4/Cq6+C2AFJD9oNgwKQBBFLJnyAKMlbiMzRqtgCnjx0QtHFSkWRNskTKUsCYgGoQMo7WWA41SsU6NEmNl58Ved/hndJDdM0u6F2Q+deGbc6EQ7biwqSBafAqLyoFM2WXK3AUSjMVooGqyKgEvfT4M/+Ii2lhA9Y/DCZaUCKngItlgVdNJuJvVUE8ZEiRDFshaiaJbee3EjKqk4L1mAImwMO4LrabTwZAnxuUEZQ7N5hvMXet9gVaSxG4IZ0GPEtvfoYIjeo4IjOkc0XjT7rElqgw8SX4RqsFi82tA7j8by4vkL7GbLuR95fDxyjhG77uialkYDYcSaiFMTGWW9oWVLifytJiSuI8pYjN4A4iZV2hPxDOOZ0QX6UTZDk9OQowAZsNiQYmpioEnZYgYgOincaw2tzYtbY+gYgkcFzfHieffxwPruntVuK3FdreUSHEMY8UG41GwUDTgGhTcSQE4MmCiWieC1ZAMlNvoYFCiZ2ygBIOg7WS9G2hYTEKQRl4RqQpqP4IMjGqm/qIOE0CudrGceTIw0TUf0YmlQSqGjWFVNKlnTBCcWy9ayboRwc/BnQhA3tayxwDh6TueeUx84XwJ+RRmrqADboJqAd6FQN6kUQK+iLwkduFGKkGtN07Ss2rWAW22LWzBqTVDilgzJEBd0XV9UHhBdSrf2YpkNCpSfiD2VUpimS2sRuk2X6CICjRZrQwRidDwePwJgdINLwu/ZneXBn+jPe4LboZQUSe+6NefzmaH3DOtI1AGdyF2jHQkuuf9DkD5QChXmqeIoWa+ZcT6kd7OplqX8E5oPER6TZTIrrAKSbwGq1EsqCzidskurc3DSh7GOK6rP8emzLGTzPafklSXIqC0Muf+vhWe91idS4/wMubTK8ibPJVHEY4zEoCUZIkqprsPhKOSs1gihbejL83WOyVQKFyI+igtZoXFB3rMU1lam8PERIbiUiOIV23aND4HL8SwZrUkhV0pjTUvTCmv/6AMjsD8f+NvHX7mEAdsYrJJwDwtYF+naBqunWo660E2EYjksQCvt95m2KGojMWsLi1WMOQZzAio+97VWhFiDrkWyl1IFWF9bkMpIzCZYjBGbYg119VnhBK5c/DUQqo+5RSo9MySPUnb1I8lHuQRWzlQHiN5R113M91wCtpmXpVICvga4vgtgFUIotcjg2pSXj2yRmf2tpt/rTq5R6fKzZYmC6ZgGsEa/Yk3yWFuZYxf3rS0n+cga5vI9am3g1uZSzq9Kniyv997PA47rZwYRgtWOg2S55D9zkLQswGJF0xptpUyMbSQGB21AZ8JEyaLCyN+jMbj+QmiyWd5gUpkc70dC6CuerEhIm1M2pYum2LDZ3bPe7HBRSBXHcRT3Wpy7EJRStIltvSaFLEkK6e+84dU0C5LRFUWgKEqmD5BAGkUjrK2UVjcSkp24kYyR/lFovFHYZFkKIaQivomGwsjn4zjSny/CQK8bsgkwBHAxEqMq6kTwkaiVcDUBgQBxsuYKeJbxqw/pA4/SVc1IrRPT/2KOSU+VeW5yXqJKAEYHdLSiFphcjzALbcXQ5zixgDHXjPsAbhxLvGNtxVxq+iEEybBMc88FnwBLvWbke7EKTms6E2Rm9x0LwZDbkrNB87vntZN/KiUJIDXRqVjAUt/qzJsl5YCsHcvfeX7VGa+577uu43IZODzuWa82EpCc4rZyYodtpmdGFnuYurYQ1HvDU9ae3Ib6563vvnQ8ZcWSG3z18m86bj3jVtuWmZ75uiXP1vX1qa+CKllh2WVaWzTqey+ffyvtvszbqj3WWgJxFiSdZUIIrlg7fZpzPoYyb3OB5jzeh8NBSGdPJ7abDUZrdEps0NZczxOmvWHWXiYLzq2jvrZeu0twW/eXfL64PisrN4Dx1yxct35/qn35WAKsefuenpz13vPUM7903XJufG0dfRfA6qnjS40vE5vbnbUEVeV+agq2nE/O+YBNgmzivKonz3JDW7q+6nbW6ZwlbopJeOTg8jpTeDlR63gB7z3RpWyiKy0hXhXKzSm+tXUnqBuoXylMBlaJhDQqiEqzWq0Ta/kIRtG1a8amoz8d5T4KtFWYIIJ2dD2DG2i6DmOaRDAprN7ETIZo6FYr7u7uWK/XPJ4vos0h2n10Pi1bhTYpyDhlk+X+FuEYprmQAqCD97hRwKTEZyVNhZEYlVh5qjmTA0xr0AtyrWjhAWsa2qZNDMsGnWKtYpDsHpe09ca2RCXEgpfLwOPjiePxTGNSkeJEKeHGQGhJADrVLxtjmXc6ZSMSU/HnQHLZZQtE3mBFGzNaWNSzJc+FEaKUx5B5HEowsFUWp6REVAiBGARMKN2gU9C7MQYdM7BSszg6bZuZ5bAGKgLoYmI7v/D4eCoEmWP0k6AZA0HHEvAu5RWm9OhakcrZhVnrnOKosjt4Wjy1QAm+iiVkiifM/7ICoyvqFtGofRF+ttEVmF/RtmPph8t54ibLcXlN07Ber9PYP6ISJYkxCgiFyb/tmkLWqJQq9Q5j6r96P7lW2ObCcNorblt9/p4jxiobTU2ARMbk77rV7J41GFwet9q4BAvL/eqKqLT6XeWEjAghZfLWwGrZd9mlt1R6l8Aqg/Jb7xaI6FjJHiAqsUr6GKXgtkLapJgUPxVZr9fEGNnv97x79479fk/XtrSrtTxDKYwV69Wtsc3rr4xbfNpAcdVXec3G67mzvP6WsWM5nF8DVV87biWd5GdOoUFzQ4Q8V8/e4VZ7bgHILx1/L6DKx3cBrGQBzAdMhEO86oj8uwifkDxzcy1iWhTxqlOzdjh//nU8UF1hvoCRKjjz1sB+6f3qRZvB4GQwr/rB6FkWYf3utYvSGl0Y3G9tEqWtimL+nZ236FN5npT0MCkIOOrsQqQU8RVWYHGLSQFkU0jvVBBXhrYGxsTfEkLiyjIYrVHK4qNiGEa2z7esd1LdXRyamrZdYRphUpdyRhL3o4ymMZambSvXxnxO+IUmmRehtRZrLBFPCJJhGSLC0xQCfnTCu2RyK5QwslcWPqtarJW4qKYR1vGuXTNliVpgIPqAbhuiGukHX7KPHh83rNscJ+EZekffj4ytx1qhjgghEJy4YNDSjxK8bgheoaJOGquAq/n8MhKcGqfMOmMMeEBbdCqzQpBNFDURx0ZPQvYpuy/NSoMtVrAJ+DmC83Tr1Szuw/mhCCdrLW4c6Pue4/Eo2XQxSrZgEgBuECZ1rCnM78DktokyB8qekLLx2rajbdsE6KaA9voIleVgSjQBxXydFOGh1QxwhRCwRuJrnHM0vimlR4yxYDVGNzTWozgLYEzgKrOoW9sW+pFMPpqfNwzSNxu/ns3hep+Q5ZvyRRcC9ApkVb+LfjRZLW9p+E8fsiMtLSFKR2bJef/AsdyD8+/1OFwpiPF631p+X39e7wlGZ1qLfL7IiVyKRkDNeGX5ugUklvdeWotcUghkLl0r9MaI1d+2DdZ7Bi9xvJlHTbKSPRAYQ+Th4YHH454Xz58nxc1fjXN+dt1mmKxsVLJgar+v+qw2JiSVtNo3tRbW/hw8f2ssQch6l16jp+Til+6zPO8pYLU879YzlmtqlsSQfz4BNr/l+Bbg+F0Aq3zc6qSa5TYf02QJVyCp1j8RfJoAACAASURBVNzyxKk1lEwiMA38talP3B/LDJGnUe9Tn9Ua92wx3AAF2c1Rn6urNOsMhrIAyGzT+Z71eSGIqylrR7kcSgjJ3SUPYeq81E6taWwrHE6TGCJGCUxerTacwyDXGY1phDQxRMfoIaAxerIqCLPxCFii0hjToRC3IDGw3W7Z7O5R2uKcJ4QMqOXtxUoTCUphVQpKVjbFusk7VD08e3exJtki0NAxCW1fNtNZfFaKWdJaF8GtVI+ExGm00bS2o2tWyU+vWXfrNEdFBVVR43UmApS568aey6Xn8XBit95wt+sSL5KUl3FjxDei2cagcWNyq6oGRZcoCSI+RMnAI9EM5ICkIggrSoscX6WFwsFYQ3QSUxdjTfWgIMWk6SjgRtIJVLJU5bWRyj75XM5EwJO4fKUEj/MD2ia3nBIL3vF4rMq9pE0fJfUKL+IeNWqFDyltPk3YnDmrU7yE1hrVNrRtx2q1YrXaJOuR9EVtLQakMkFeW2Hi28oJH/XYg0SN5Gy9kRFf9aVLrOq5CkG20OXsQ6AQhmbSULFeDeWacRw5n88F7Hjv6YdLCWyWBJVkmVVG3ErZ8sTTAukpgPVfY62C6z04gyu+Iky+5VgCliVQnLXkxp5af7f8fNYH2QUe5+crKFx7uTxRjqVbus6W/TuBjjmH2thfZGyNxpqqfJoP9OOUaaytkbjWHvpxQIcoc0jlUklCMXI6nTgcDiVgPiv1IUi9v2XcT61kTUaHeR/dUqZn/bsYglpJr8Mx8uWzPaQqIVW39VusQbfG/1bi07LN9T3KnPoCH8WX5tnX2vjUc790fBfASqwd8WrQb79MZZ7UijqGKW9cIThKWrZa+ppVyvTMHbOIl0KI+2pNb6n15QlRW6GyWfrWcaV9zSZ0Mk8rsAvEP4Gb6blLze6mFS0FRdcMtl/SIKZsvY6ma1IgfyqJHEQrsbql6zzBr1HhjElxKbbpcO6C8WLJotGYBE5i/P+pe5PmSHYkTfBTAGa+kMEX8V5md7Z0yfTIHOY2/f//TNWlS+rVlhkbSXczA6BzUCiggJuTkVV5iLIQChnutsAAheqnO+P1ssFRQpjnGq/jncPpNGM+nTHNR2wpYd0SthSxrQlbZsxTKczpROB470sBUCMou/RrAQgaN6auvVoolOMNqNJ3Px5OEiha4ra02Kn3L0jLLYMQt9Bcm0HHmCsDapYPBs8zCBkpMl5fFzw/v+LD4xnSB1Aa7qZI2FYWVxSHEphOAE+QIpJBsjojA8FLYLjJpGFugAvFwseZqguCiOQ3GA4bYiagfF+oG86VvFRq7EDoUOy2jiElMdYVOUugdAIDWUCVAAPJrCMiXJcFr6+veH5+xvV6xeRDqaLuQZSQ1g2vr684vp5wdB6Zxf2r7hvZVyXWqbjg5rNYqg6HU2etUmBlBY1dLgustNTEaCnRoGK1ZOSc8fJyqZ9tm5TGSInh/VarsEtWqowlhBkhCADTGCpAXLScUbPFtKfo5XLB9XotXQsgViH0ggLD/0UwZll/Qo0TvKc9W2HX9sv7wkUfvxfD9J6m/vZ93wZQ9v+jdWrv+j1lt/7Npb1WLv1WK8DKpeH6UutX6Zza51hrn+Wz+r3ylZyz9BEtiVIueKm/xoyYW/sa8pLY5FMSOtwks/V4EmB9XRdwqcyfc8Tnz5/x8vId6dOvEsfJwJYSgm/NwVUG6RirIYKoZoJ3Fjf0tG9lB1w/l/Y7nfZ7AJfo1rJ3b83GddtbU/29pxiMAKkDXcP95bvbMetc1Hd6ByTdN5rcP34KYDUyw/a564CIjaVQs72teZNzRmYxs9Z6I84hx81Yd0wartxVGHph6uwLURlC01Ww9rFxkjVW4ibbBbdNTR3donCxOXDJ9GkZGZJ6yhIoPAWEEl8SWWI6bkAbxFqj39kjMQMmdqBqX0GZQoCfDiBOQC7feUlxZy9aKyHCcQDlC5ZLicNCQgJJcHqWRsaTPwLkETki+CN8OOK6JmxrxMOHD/j10x9AYcbXb5KZw3BYlwwg4OF8xDTN8CCkHOEgtaIOYaqZjGMQaYuJ8qYJdQsuTWkrK5igBQZDmHGYTzifHyENjQkuOJxOD3h6iljXiH/7+hlEhC0StngFpwcE94SH0wHnQ0BmRnQETxPiwQNMpfI8S72qdMb15Rmv31/x2U34b7/9CYf5jMlP8HRG4hnL6kCZMc8e8/RQY57SNiEB4KQxG6E4Kp0UJcgFUAJIW2HgcHCO4alox1HimHJKyAmgLMCzJYVpsLYEgKc1IiYge8Ljaa7Wqm0TMMQxYT5LhmXOCUxStmCaDljXBZfLBV+/fcPL9YL1umAOBxwfnqpbOK8XPL++4Hr9jJQYf4AkTAQG3BQkWYDEveLgxUp4OOBcaoFJJqBYM50Tl5yste5RtTaV9U9zo4+ueK82bYZYXwtAmiYp6/D09FRAVcL1ulb33fW64nJZqht0nkPtQRjCAecHKXEhVqoF2ybu4FgC1733uC4XvF5eBNQfZxwOv5RsXd+lk5fVqQJCW6SoRaIJH+UjCeLwTMLnfJEZnCvfFEXSAbCK4G3GlY0l+o9bv9qxJwz3wNN4WKuyHd947fiT8yrWVy5ZtvLkAvxfcb2+1oQKm16v/7d18WppALUI21jVXKrpEyEKgkYs48oxIZTYzhgjtizK47quiEkUSLeW2FFHgJvALOD+H/7hH/D09IRPnz7h0y+/whULOLs2f02mNAtPbc2TW0C7nksmc9SuhSSR9MVNLT+1iScaXlOTtRjIHKu8sQrt3tpZZf6eov8WnY1eHUsT78VY6drKfPwYLd8D+O8pGD8FsJKg4b4/l2iLsZ7DzCU41AhUSFyNINCEdVvARLVuCABoeQOdDLUsCAE4jMGIKXFl0tZSxSzuOrux2tHiuqrrCf1iWKLFjgWpenZ2iM3i7qplJ6kur2PUwFnnXG0lY4kwGqagbhzyrcim9x7TfEDiDF/GGGOUtG7yYDB8CDi4I9JS3EGHGdNhxvoa4RzhOEum37qu1aV3Pj3idH5Chge/LCCXcT494eHxIz5vG16XK0Ae03SoLUPUlcgxASwm9mmaQN5je12rpYJILVVAcaTockjgN5V1z0ajKm5eZQAhTAhhBhCQc0SKCSnmUh38gGmmIhgjOAVcHTC9ErwjHKYSeAyH+eBwgAA/RoRzR6g1Kc9HLMsFy3WD9xM+fPgF83zEcZKSAWKZcwAHbGuq7V7iqntiKnSaME0Onljiz1gSANZ1BdFU6SPQJGU5NtVexVLhyYEdg1MSi1MZPTQgFhJvxLHsKUeYfMCyLPj69Su+fv2K08MDmEVzbnQt83u5XGpclXMODw8PAHlk39rAvOQNkw9NwMSE4KQHo3PAmleoW5ZsAU0KAFMVJN4TNAliBNgpN0tEjmY/uZ5xK01kasVINXFDq6NP0wHTJLFSl9crXl9fRamLqa7Juq7wXtzl0yzjlqKxHmvp+RZDrI2YdY8+P3/D8/MDzucz4Bh+IlABfyhzlqOm9KPW3yKiZunOzbXbQEEfAwS0zDg5pzVll+M2q8rX0iXo7t1qDN3W+pGM696a/p7FSV2jdryWL6oA37MadHGrA1+WvxNcLrXguFnr1Cop9yAEbQZuAsnUellnaOD51tVlA92TiYcioNJSjBFrijWRSGKnuCZ1iFzjmmn7/eUF//7v/47Pnz/j8fwBNM8gKqEcMVd5Ytfe9ju08cnVimTeYc/6oiDSrpMApt6KpO8MAN4WxB7uOVqvdD0VzI3WKZuRP4L594CMPAs754ol2N57fOcRdNnP7wHA/xIWq5RSVSvGDaLWnPGQjZCrFhdLWitcazmjzTvtIpOZ/H6StX1Ir8k1tItar8OOQcZ5G4+l93Vv9LPSc7qFc1T6YzWLl/zu/d62LcposdKNUJnM8DwiEtO0638oeDi1liGLdaMwcT0nRldngTxA3gMpgXIwRFqyyJgwhwnwAY4nTLODnzym0wPIz9iWC1JGCZj3oNJM2fsAjgkJpaJ6aJqjfc/RrfcWwVOW7DOp7QUAHoECJjdhcpOANOcREaWhr59wPpwwHwMkK1Aqs18v38EpgnNEcFLkMswTQimxkMCl1Y+45ZQ5z/NRYsrOj3h8+CigzhV3J2v9LIfS6q9k6VAnFIhIypJkKrmPxg0u/xG3GlEtPHmP5hxDrE3UXBqJGdu6IrCvGuzr8orv31/wfHlBQm4usAIqNcc15ZYpp2CdwlRaL4k2n5NkP8UYka4ZvGWs16WAgUmYeCZkp9leQkc5o4DHUlPLZQQPONeXkqjZflnbWQGEBjixs0f1WqUjFSzTTAh5hvcZIRxEGSkB9Orq2+KKGDcBmiFAakwVRcVNNR5Lhev1egU54Hg8Yl3FClZdguep27vVimLATDtypQfdm2KRhfA89OUv5F6paumji0/nQJ7Tu1XVfdh4aANr72nu1lJwzzrx1nXvnX/vM2slqQDbuAMt4FM5or9v52Tf/bP3OWVuNMYi0tPWgyliRkKW37UsjMRSiedASjd8+/YNf/7zn/Hnz3/Br7/+QfZIsVp1hU+H3yOI7eTCGzFkI8ixh00Gaetv5gi3zxzjf8d523uetWbtjWVcD3tY4PwjFqVxLCOwfw84vXf8FMAqZyE0/dseRNRZcfoJy1Ckb/sI2msJ4nrTa7UoqN7HF83b3lvBwbiwmi2lmoI9f3xuPc9s1r0NYM8ff1ciHgAVkQQH953S7b2Na4TMXFApSxUIohRT9+OCl4JtyQGcwa64DZwweOcZlEiaFBfN2ql5GQlcqljbedvWBMYCeAKFI86HM+bDCTEXK5ojSXefAqYwF6EccNmkjIMrGlwGA0ncokon6vKpTt3gbzaIzhsR1armsrYsBfqmAwgOIWjxyYiwBRA84pbx9PSIdZZq7HFdkbZYGkI/S2q1jnmaRQg6AoPg0lzGmDDPM06nE3779Cs+/vIrTqczpPwBlWwrsbYxa0xIXz9HrQxa660xs7KmrmnlVEBxzgBI6sNlElue/CbpEViouRZwzcWSVQK0QxBLwvPzMz5//guu17VYNQPCQQN0S5eEmLDFrWrMp9OpAPUJIMKWxPLClHCcDrhOC8IqQGDbEvyaALeBUih70iMTyXqnDI7ijpO1K/GAIRWw36pX1zprlA1zzpX2yZPqCShiTwCZUVT09zSL1TT4GeezwzRJ4Pw8zxUkXa6v+P79KsIxreDVN0tXAI7HqVi9Gk3mnPHx40cB6SWAf1kWnB7EZSlWVrGqCp2PAkJjrPaFiAWOVdFxvUVBFcW9w/KyLqOyzNk9zb4Ko+HGexr/eIx8b/x773y7N0aX08ifhTaU7zeLlWaT55LUwbgvuO+NWeeXjEXQlxg4HYMjgpsmcfcBiLlkJcZU6ZaIEBwjZ9l3l+sLvnz5gs+fP+NyecHT4weQlwxs4n4tLWDUzzCYI3LOUhevG7+1fjaXs71W+Ke1WPZrUJwFN+tl1+MeAB5/rCLw1pyPz/mRYw+g1WvfwFBvA7n7x08BrJT4gNHkuqe1tMXyTmr7VAK2vnEk419r14u3zaTl+l4Ij/EG7blocVgG6d66Bd8mqlyI0br2KgNQ7a58rwJB5yXHZrkaC4T2KFsa34rlSQlXTbYCriqY8qg/zbZlzbQMkAOIKxOQ2BaHWDRhka7lhxlcrSWE6xaBeIGbCB+ePuD4+AHeHbDGDDgPF4AQ5i4mjqgU+eSE4OYS8LshldTfEUzWuBmzSe289OvvAUrQdhJTOIggQ8A8TfDhhJxPCOEVOQMfPnxAPEhmF6eEtEXENYILU+R1E5dWfpEYIpK2NxOkJcrxeMTj4yN+/fVX/PbpVxwOxxL/IEKTWBsISxYjU2udIS42eZ/JuZ5xUns/70hrgVdQzYB0GjAWXEck/SXZWDp1TkuiBFW3q8Pz63d8e/6Kl8urvMvhgDCLJWZNfQZc0v53XgPsCZmclMDYCkAqeyxQyx7UrDl2JACkrJ9PHplaQHlazH6ER5q4xEVZV768V6gtP2hkIR1NVGVl2MPMjHW9YtuWong5HA5cehJ6nM9nSXaYPHJesW7XEnKQsW2tbAMgsWfaYudwOCClhI8fPyLniG/fvhUlaQHRU6/FY0/oaJFfrpZ46wq1wGIP/NjDAoP+aBavvf0zWhxu7rlzTs9fb497vHLvWXsWKTtP49GUK+VfrcyBtVwR0U1VcntPWzPrZl2YawV8h2bd55ikTj0RvJPA9kwAxeIKCwHWkugg+2mLC8LhiNflFd++fcPlckEGYxpcn+39dsDCMAd7wGrMpq3zMOyFe8hDlP79dd6z+ozPsfNpn3cPVP+IJWmkD9D7PABmzUfjxzgfPzqOnwJYKSPRoxHI3gI05kHoNTElaB/6zLqaRVUzoe5Nirt9pum+rSbPkYndEjp311iCegsB7xE1Q4VXlIq9RYBFzgjztEsA2nC6WTuMu2/HBVjBDBiONZS8pIAXUCUp/6sEFXtgCjO21UmfpVLzSQIZFWBJDFTKGSknHCaHw+mMh8cnZPZYn6VRraQhE5wp+skstV203YcAjKKFojGKkQmC7jNXPU8Dn4mkTlIIE+bpXGjDIfgJvhQ1JSJkXrBeF6Q1iuYJAkfGsizgJEaVdV1xWVZclivStmHdImbKEqM1Tfj49Av+8OtveHr6BTmhFHCVVkhUkK6mNAvI0QgojSPjGl8joCpXexMyJCi7ACMu53gwEhFADFed2LnuAZ2TxFmq4ROBPCHDY8sbeEn4/PUrrtcrnAOOx4NYogKBpBNMBfii9XONbYzVZdt2mnMOIUtvzBrcWmKmJDjWw7lU2go1i4NUTo+1CTS0pyFc1aTt2ko/yNbChaCB280KrIe6ljNrbKdHYAfmgJQ0LinhepW4qsPhVK2qIQScz0eAPmBdpxIvtmEtcXHbtiHFF4SwFQvgXMd6Ph/B/Km6CGWuqNCDCmt5Tyt41PotQLnwnWziRoqFWRWousZ5M42aDS9kG+pg942Aq0qPgyJz71Cl8B4QuhXY7Zx7QM3G4uh1ewBsBDsaZA2Xu+gOKpaklFtyj4SGSfFNPSxvBDAEcFsaY6QUhf+V5wcSZSm5YkE286cek1yKH2sSBDMjlthAff6yLPjy5Qu+fPuK/74sOEwzImd4HgHADng1AOce2BkB6ng0vmlrc90vNqo/YxzTeM7e2rV3uaW1t2Tm3vEj72T/tr/v0fseuHrr+CmAlWRBGT80acG+0syX1brku4VZl7XWplETvMaW1MUFAdR2lhR99HVziPVKztSmkcqwCLeEocJk1Kb2mljq7xHJj+c1rWqMGWmZHNJPKoKKNuznqWa/qQtUnxNCaVPihmadBVTNpcjmCKwiZUTOcJwROUqHdZI4nwzViqUZ9TwzLkGEO6VSLiNtVdjJ/Hv4KeB0eMIvv/4P/PLrH4FwkGrV7OACIfhZKgxPM7xzSJFbSxuS+wtTk+DmbVNtU/uOqVVPpfiYHSSuQgFRLVZLg5yncMKnT7/ier1giwu2Uvk8+Am/fvojnp6esFwEME0+4DifMDkPThlplflKOWNNkjJ9ua748vwdLkUcj0d8/PgRv/36Rzw+PiIECUIPQVr6OC8V1cFOegaGGc6tkJpUSjcElwuwqEqYqyndKSfpWekKiK/zUOZE+2GV+ZIYwyxxYixxZQLECzj2hC9fv+D1+RU5Z5wPRzw+fSyFUSdkkoax7IX2CNqoNtRel82yJtaleVblxyGnK64hlFY60qMzR8bKKzIBB3ZQN5j3kt2atijuy0IPMi/FNQgPH6wCAaTcNHGpR1Za7yB0/MM5wDmPw3ToWiQJSBdLWtwyrpeE19dXXC6LALCvrtTTmvH4eAbRucaY5SR1ui6XC759lXITAk5DrVQ/zwEfPnwQa2hca8blw+mMQ+lRCOWFQeibmcHJCh7lab66RKX7VOMDAgr0fVQBNKCn8Eqp5t/zpDEwfBTItlGutXyoO20EVyNPtL+twB0BmOWr95RXvcbKB++lvlzeIrxrJVAkeacFxGs4AwAEavXLLHgawd0NPy97NZSMc0luED4VnMQrIreedcgZHoR1ucL7k+wdTsgrIbuMECYcTkfEGPH7v/6Ov//7v8eHh0fM//f/g4eTh1b2aXPV6L9mig/li+Q9911soqzdghF9v65QL3qXo5g37q+jVe5HQDreT6/b8wJZ0Hwz9vaf7vkAutjk8WgKy32L1d35euf4aYCVugqqW8d+1yHJAUVy/6Jvmej0fMdo1gfTiNFRc8NltKB55lKI0mQ32aOBNN4lrO7c7g3a/e8tvAU/HuJmUY1fNd6RYLnElYzgSdPNR0Almp0KldtxFdwJ54DMVKwebcMk5hIYqS6ulrU5hQPOj494enrC4XDAsmmPODGPhxCqtYrRUnenYqnatlTdj+NG1TmqGwT7m84KTL1Pn0kllithMOp+khgecsKwA4mr8DDNcEzISDicA2KW7ughA4fjGeeHiOPjI9aX75imqda62rYNKWUEb+oWFQHFWWL6dI0BBYylWOqOZin/1yzV+yZrsfLZpIu9wOUELlXdPZoW7n2AnzUIG8iU4eFL1WpZYw+uLtytFNmE2QMgkmQAlvIMy7IgShdb0dbnGVtsgeMpJWmO7G6TTfSerNmBLGUDchaaVGAFClUgq9IxCks9JD6uWQ30GdEoT8xcKqtvg2DImOYD5qLkCA+ZsJVszOW6FfqVuXp9fZUSHHEtpRqaFUvbm4wC3HsJXmfmUiqjzAc0ScHGdiodSNkF/cy5UsGfuYILMs/Ys+DvWRv09+h63Dt/77p7x2jJuPf3W8JuFOpAAGn2bO6TXkYQbYHonqI7JsdYuqjZcTZMhFsyhJQkKWMv32trpV5RL5Zfaopyhu3c8CxtkMKEQId3hfs4V5ZnvgUy7PV7a3YDjiEWeCvvRvA08t+9+9kx/Mj4/tpjNISM47PP2fv8rz1+CmA1QYJ+kRmIAGWGzwTSvnOckGIpIRAayswHgUExRmSKNW4oELAWa5fGXdVNwAy4g6qrYA14ZW6xJ9UNhvL/QqSxOCFKem4jmFKrSgU7SdaWoGWHVO6XSdGxEJcHIcameTKLj14XNLkNiSOyZ/iDZEi5Aqr8PCF7ljirrIGEDCelz6tQ0/eEagwlALLs/5K1KFrXFIrm4gAu6fuZPbLz+H59hXTzmDC5AD8RwnREzA4xb3B8QE4Bbj4h+xnPq4Obj/jw4U94/PgbcjjgZRErA/sIpitO06nUAApGeIm7KjKDkgecuIa0XETMEQCBfCn8CKN5VGamWrOrKfsHylhjRMwbMjOcI6RyjQsBng9g8tXFFVNE2gCUkgPzISA4qVDucpKSBzHBAyAKcARsOQII+OV4xqUIK+9mEALAEzh7TIczgg9iJRCygHOARwbiAjgplcmJ4TxwmCekxAhBQBanLNYylsSLEKTcQiApRmoVAg8CXAIySYHUyKWVjygVmYComa8QZSMzcDgcEX6dEIqLMqG41RIjplVcxqUjQoYwVq06zj6USuplXQKQUwnYzRHPacW35QWZM86TaOautH0BMmK6wiXgEA5gjsWSJ4UVJdtO2u4kTmBIxmXiKC5/lj24blKAEQDmUh2fiBA2KejZ+gw6CWCOG7br0jHUtDWwt1wvyAX4RFX+eEHmIw7HX2VfOmnXRH7CFALo5LE+tAbUSpcpLSCajQu0CJysBVhPRVnZZM4dQMEjp61WP5faTCzz4zd4apXw1W2jdb5cdtUVRiAEIsC7mtSyF39CtG9N0j0lPQ/9cNV+Grt+xmxBY2852wtWrtfCJsfYMalngqHWO3WPCk8tPIEgCSVOaJhBYAIOhwnhEJBpK30oCXFpdQFVwCoNjMK+C0XghOxcAfpovDg4EIcGnnIuLbpY7LV0wHKNWK6xWCZZbhEjXpcLAjls24pv377g69fPeH3+jt+ePmLhDQc/1XAFZIBYK9x5yZR3qfaMZSdxr6EkFyUDjohIEovs4g+Ho9SByi4xgFoYzx64arft27qNyRT2tz32AF+jgQGIUTbyk4vcFhL33lfrvbwDKo1oeASRhgIBYybuj1ip7PFTAKtqBSoWKatN7cbSoExURLcR7GJaa0xntmVxlcj/b6uljxpcZz0D7zAisd6IFcZ+blxSg6n0rTUaTbH2ZO89fInvgLHYODEltfFSryWM1ho7N6MmKllldh6sm0WJbkPfKLfNDzEDLMHUngin0wnhMAPsEFOsBT5Hy1kbVyu89yOlKvT3nunY/j02Xba/bfNldlSyD8t6Ow9XC0tK366cM4T/RRHQ3nVxFK7UB8u5Z2CdVRFc4zLGd9mLN9Q4pBv6MLTB3AtFZS5dzEPF/lRAnUQRkiN4KgUVfXHU5bIfh7kU+rhdCyKp4eS9r9uECbVFDIAusxEo1gNXmkZr2ru6t40bqJsnakkZMg99hWxbliObprVi6Y2mdpDZP9wHgsfV1ARCEwZAi3nEuuL19bVWYtcyC7re5/MZ3vtqpbNJM3uWGGsJGulCEkamCjCkzyNJDFHdn7fhCHK/W3cazDP26OneZ8y918B8U393/Launz3X3bmHOUPB1jvybG+u5HdrS2Z5zHhUt1bsq/KPzxg/s9YfNvQ28tVK92YMSqMg4XHkAPLC+3IZ8/V6FSsYA1/mL/jy5QteLq/VYCDxsOpalHmKpdn03rjrvhrihKsCvjOve2s/WphGS9T4/veOt/bBPUvZj1iQ7vFH5r5s0977vXfPv8aS9VMAq/qCxZIgDL932QCFSI05XH3KKqjVxz4ypw5lF+1HtJsd4sF+lh8XQNaN1xwZXFw6qsc3rSZTHohNmGzNAqwgz3WMpI23CObiPtDK65oVmHMWraMIarXS3MRYGSZ94wos9/EAJBNNxmCZlXMERyj++yaUcnl/D4i1wpV6OC7geD5JscvEWLZWEiP4GSH0FY5lPKabPbiOa8zg2dvADTRxOwAAIABJREFUe2BxXENGqeljAAiTvV7WIOdSJ8l7BO+qxpNzaTZNDSw578GUEbOD45adqun/lfac1bD4JobPvocdt95jmryhl94iIL89YOaP0GuTPcAmsdJS228KpdveS92Y5NpQ6oFFU2QUlT65ACuNJ8lgTBngYBI+WLoAEEkMVIBs63SRNjIxJfiUECat7WTBfnmWBfSGJ0jT6haYrAU5FazHmGsB3UbXDo5aLKPyGf3OT63nJBHVVigxxlowVC2vhKWedzo9YJoOCKH0RSztbLS22biWKnAVpKpLz3sLyFXICJ1F0lY5LQ6m1rHLg0ZfZugtC4E9RkEqz70HioylB31jY3lX1z17fH/7mf3JXeB5f71zmvHqQNSXdshm/dhxJ/h1f+7F+9h5GRVS/XyUNWlQ0C2vVVrT8A0i6jpmkHOYJukjmHOUWlgQrw0TEDcpefLl23c8Pz/fBb9KP5pspWNX+QNIosreYWUmmO9iWUurVlHc47vvAZdxju1nP3LN+P+3ANWPHHYO7O8fUTb2jp8CWOlRCXl4KdFyi0YZDVOYUJnh5BvzU4BjAUO9HzeLlX2uMK2MnG4tZBX4uD3zt2ZqWUYxtFrxuLnf/iGApCMYM0bd0NM0SfBxeQ9rShcNpH/eKFT3QJW8g+RQeSu0jLXNkQdRE0qOJBiXiyEklXf3LJYeP0txUMn+YgAE5ySg3TlXC4Mqg1Sgy8xSksC1ta6MY0dLquNHv1E7YI1meUgFBKsGp78tsPKewCCJMyrxXgDXIGqiFquhFgxmsdhJtWyhy5gY05wa8ORcXIElg8qMX2IsCPCNkVfmmDNC4A5QWAZXA2zJzBdLirUwzHFufAl0z9A4RQahZl8WC6wCGukaaJhp0ZiToY8QQgesxMWe4Rwj5CbgnHNwRlkgIkycsSwLEjcX3AgAuDo6m7WJHMN1RS2BYOgi5T6gm7m3IujcTqFlgDnnEFxrtqz0qvdRgLREaa5ca19NE9Yl1yB178UaejweS9D6jG3bak0uC5ozrQWsZXjf1pUNTTvn2vo6iWv0ZMemFk0uoIqRysoppTXgcdsD0wIHK0R7frUvnBVsyfn7gtI+0/LB8Tz7vjnlSqP6nRweRMbiiB5YMZv3KHGSan2dSlswW2WfnAPlfYBA1Kqa69GUpwxOPc+2oMu+k7Vaee+RmBHKvpmmCTETtk1qak2lwX10Eh7x/PyMr1+/mj0fyr1QkhAcfGp9BF1RsmQM0n/w3jECJh6+w85a7cmWfn3etuxUILdz3lvX3ftO+fAoWu+BMf3sR4HXj56nx08FrIDeFVLRY2HokWP1GwMADGOiYF2Bt2mTlXBwO7nyxz0mIvdrj+T6Xf3TWa2mmYW3EjTpDaOx1+/VzLKfqzUIw3grczeZOfZgVrePAoX2t3dBzM+gIlDNNd61rLLcv7PdQOxKRl9hCHDSlNeV2AkHwE8Bx9MDCNKuJNX7e9RoAN/KH1Tr3hAYa4WPgshxM4+bxwYrW1CWwLW+lwVaeg2VelLkJchX5qAAgdI+R+JrUP+/bRvWUhwzFRfosl0QecEaNzgKpU1SE2hlsOpobbSBhJylfpNldA1+tXds2Y69m0NmP7W5pFH7ltY9CpZ8CfRyBIBJxsCpBqSSBeHOVYYeDPiTHpfiphb6IDX5AVnSzp1zCMxVoLnkan9NLvsnzBNQqq+PQDpzAnGLlbRB23offbZzrpQeIKTc3l0CxAchwj0NKFj21AKctcq8zr0CpDXFGhcowDeAsJZm0YfunodSwsP7Dao8qVIonSdCBejTpM3DxT2kz9a9wtQsvwxJ7Wc4idtjrokkjW4GYcQONlN6PDpFFD3fekvodaFSrNncdMNb7b4dee7N/WtpkX3hZi0MarkS/qf7wcM5VdpS5SHTpNX0gxRC3rG+WND2lkAf+ZD9ba1XVdE21/mgrbUciKVXoGYme+/hDw45AZfLBZ8/f75J0JF9SQBcJ046JUtj2nawAVd6Gaw1wzndd9z4zjgHe2vz1vyN5/8tD0svzLz7/jJPtHuNXbc9oPzW8dMAKwVQ+rf9XRfOTAwR1WrPexu0ahiGiYqmLCnBmUULChoEzSWw3BmBVn4EhHABIaJRABBpZLR6dTEJwoe0yi0CEKCOYck76UYzGjfaOjOoMAqSnohZmummJM09NWUe6IkYA2Ow2rbVRkcGsoIxkQAHsfg7cHGZ+pLK7cBwXnrW8TRhmmbEkrKvjJ3CjPPjL/jtj3/E/PCIlIC8JaRtEwsHS5ZSztLklksmoLpYtAbWCLSEITb3kP4eN+8NoEoJW7FUiCUFyJyQsoArZRDBTQjkwAnS2sYxHE1gloBxApc4l4gcV8Rtq21J1nXFGjcs1w1fvn/Dy3ZBCAFPTx9xOJwAOGRIbETMAJGkXINawgIpjThucTxABTMpJThPlb6JjDUmWybuC53KQhKJi4CIBVSTxpQBjAWuWKPISeaZC4QMcY8FF2qBS2InzaO9h+cNrLF0OtdJCqRyZGR1STipRJ0L3T2cz6IQMWM6Hup+dcHj9PAgJQ6ijH1ZlloaZLRW6p5zjjqQVYGVnmc4nFgSbq02zNLfUkphiIXSZtZq70TLe5yTAGgUt5eUTVjAecL1eq21rgRUnWrZB+cczqeH+ly1dr16iau5rmsJRA+omaGlibJzARpGQK41lgYcUsqIbAK8Da+sVu+qLDXAbQ+9VunuHpC5f6hlcHAFZkmKSEljK4uClgkpZQHNA2/Kg7DXZ9sxtQBkU4sEKi/079tRWmsVM9dM1j1rjDznNvYtagYsxMJflU7uy/FYACKZwanS3el8RM4Z63pFzkUpSbJ2eWNESpWWv397wf/5x3/CFiMO07EqNOLNKVJtkIPMjERaqw0Am3I+pUyNXc/OioSej+q76Pe2tMUIrEZvyC6lvONtGGnPjmEPjFu+sAfmxvuNtHTvsOtqf793/BTAyhKC+In3/ZspJakpXl4u+7x7nr0nxgXAveDxEil0cz9bUNEQA/V6YMtMGRmwWBCgGQq7D29Wqo64jHl9/N0trmoYqk2YdjyixbVsoVa3CwDke+dKnFPawFSy6QBh6iCpDM4sKfAVBLSilkwERqjnghycn+Cng/T9A4Niri7BUBrWphiroJPCmQSwpMzbOASdl7GO2d5mGefJMmmU+Cougl1B3DR5AQ1lHjKJS48zCThmiEutpPdrrFVcN6S4glPGtqx4fXnB95dn/PnPnxFdxnQ44TAdkUo1bm/GQ6RzpeskLq1xbUeh0r+biQdUsGyuU/DUhIyqLh5ESfZCzEjIcC4UoKe0Y61cAsaqW5AIKcrzAZQs09bomwuYYyK40n5DsxmnUmKDgVp9nZ2se4GDyEjIMdX72vdSKzJVq5Rxg6JZa1Wgxdw3+FWhTkQ1K4+ZEbfW0kbeqQFVZwCY3X/ZCCa1WqFYRmrfwpSQSxFZaZEzYTrPqHFukKQQtZSlhJq1Zem60UGpzqr0Tr6n8ZpBY/YOdvbMUNrBfjfGR41juXe0+SG0rL9ilyXs0O++YLPnWAF879y2Z+y5CVqOQ8bTaKnGWBWrJGcCUy6WHXu/23GOYAsAprlZN0dgNR5KY845UABy6XGrCRVt30o9NEDB1YLvry94Xa74cP4AjQskI1csHSjwqqWBmYt6X/YzekAyWtLGdx0/u3fu3uf3gLFdwxFU/SjwsQcRdfLefv6WkvAjT/lrQBXwkwArJaqpBGDm1DY2M3cEb3vvqYVDN4qeT0Dzfw+Lpkf7rBGUxk7IJErgqK6HMOJSlDLsxVpJyQhbd0drk3SFR7mQt9mIcv8G/Oy7q4ka5nrdvFQA1R7AsJYqq0HYa5VpWWEPNCsakOBoLqUaxLxOIDgqbgvOmI8HZCZcLgtO5xkoFo7j+QHkgvzkLNXaS0xcCBO035kG81pGpe8wfra34awGU6uAG9ehCrctbnoXkT1FAHsnxTadF2smWECV6IAkxSmZgQL4wzTBTwFh9UjLhvWasC0XbNcF3z5/wb/8y78IRRxmEC+4vr5iuVyRN4Y/uhbxYphI5gw4IBT6s+0zhH7auntqcXYpcXEdTV1ldl0/58TNkZL2QUOnDdi94RzgyZsxMQhcc0WcA5CplEUAeFuqVS2lhJhT2UmtEC2VPRlzqjQfERHIIbJc60IQKyxzvW6aHCIRKIqAijFiCr7sxdDNnVjxzJxWuqFC51znhpyvAp+IkIs7HAzkIgxTAVveNyHtp9DRnfKW2AEQSbyJm36WqsAU/jbVkgjMjHmeYfuUhjDjcMh4fv6GZZGA++M8l5ZbpWgqFas6K1iRjD+JjhPLuCpjucybp9C17dJ5YzZJIsO+ew/wjEJQP2+xkr3FQM5RS2lvEVMQQX7/Wf15+wJ4tCro+mQzNqto6P6xCQkgqi4xy0v0vtbivzdHI08aeauOTV3EzIwtr917KC9UWbYsS4vz874mSjBKVjwDy7bBqaeAyYQd5BLqAAGNzNICbgCOdt0tGOqVkdvSCTp39j3t9+O9gQbQRpAyrmeL47P31L+EzhWol28Lb+hBuKXvUYZauunCMQYaq1mjb7zf3vFTACsb7JdzguPBvGhf2Fiz9tyAct3txrSL15QgkTT9ufdKMFhl0DKOorWDDR1kaNbYHtIV7Yk6kCgxAT2haeVzIYr2LkDRmIwlYhzrf+QQEEtmHCO3k2DalBNyCbANfgb5A1zOYOfhwwGH4xmn0wPm+VhiUGTOZCP6miHD8Mi5X5vu/QZiHs3AI5O176HgSoFKu0YAI5GHo2Y5CmqlYynMB3ix3jkpZSGuTnHHkgM8ORynGa8p4/p6wcvzd1xeX5FTwtPDI64EbMuKy7dXXJ5fsK1i2XLBuBmcBMorOLblOux7KmPvbaSDNghXCdQyDEbbNyJAekGqd3VQ2nEgn+GyiGgB0Cu2TdwUaZX6Stv1VfagsQSAfGv6XUBSYilgqu+2egFamQBf2E8GxBqqZG6Ynl3PMagasPQugbwS2iXI+b29YBm7CmP9f5e5Rz2TVnpKfPuMxuolq0/Ol3PUUuHIY9taq5tRAZL3LVazWhXdAaXhuCatEJypjXcbGyXjkeKvOo9WQR3nc7QyjPtvb6/tz6sVcHsuIf3e9t+7fc74rBuBbWtpCeGgClluGcZKC5IJnjEmx8m+aI2vR/5igYX+7sBGbkBxBF9KR3qNjYmM64IQHEI4CuhmNH6ZZJ6EBwvouq4LPn/9gj9+/AO2mEAFpHr4UsuwAYFksttVzoxrbBXw0WJFRNCWr3lYG/uOe/LNztNbAPStw/K+8Z5/68O+w9577L3De2P5KYBVj+5F0rwV9Kf/v2dyHbWzbnIYN5lVivBHYVZbPlQL0+jfLRqNSaOvPaqAEv9AwNBeAABylibRPSgSJF4/L4BK0tvbtcwMMFdcbwle/u+h6c0icHTsKJ9pvJiWnFAN2IM5F6FXNs2wEZmBDBKhAl+sJROYV6RIcKeA41FAFWo/Nw/vm9ancSwJHpourckAus7jRh+DJe1a23mxYMpasOxmcChzS0JnM3k4IklxrisOqePEvuRWtbXMOSOtG5brFXFZsV6uWF5ekdcFRz/h6fEDwprwbfmO7bogXjdQzLUpso7bOSdxLyz1ZyytWmDZPt93TVitazzuMQBmMv3jAC1uWAGsl+zGmFasGchbRFwTUqnvlNal3b9ahIpbgQCkjC0l5MRYTSzgMomQ4OBwcKX+lwIXvR9JtiDKelig/B6w1hIme8JZfve0o+dpeyg9d9tMYogpW2ABXmLecU/rO2gyBoBS/kGuDchJXH/zPON4TAKwJk3/9937JufERduNv7yryT6JLIUnRw1bDHKpo50Krsy5I03tgVcrSPfWoFzd3af/vI1dDlVyetezPW4BtLnjG8KtJbB4EPHNNe2+xfLiXa23NgJuHVd19wIdELYJEaOHwMoozYDWsWlR3WmSMjqa/a4lQg7OSWY1RFGJMePz589Y/rTAOQ9i6UzBxXKZIxsQBUA9PSQGgMx9VrG1htm5Ud6vS6nle/ScW3mzD6rGv0d+du/YA1U/ct2PHj9CS/cA4I8Cw58CWOkhxIkqYHUia+afo1o0cpz8fsPcTlJFpaChnkdusUwmU4w5Dc07Cc7N5X76hYAqMufo+vCwdnZzVuZWsqnGQwCdZj/Z5rzDXJn3Tmpror079nNwAzbtGLsYKiq+eVda6RCAgBy3jlkEf0TMEZQJYTrhcHqA8xOW64pc0tbtHIxAeWTAI5Pfc2fa9xqtU6OVyj5HAbI8CWKt8lIYE6QJ/eJYAYk7kOHV9gOAsV03fPvyBf/2L78DnArBMmbyOJ4nnKaAdc3wGXK3xKBcAHJmwPeMR8BqiyUarTKWxu36jQoEANFcDaVU8MQOmaOUxLC12rgAcAK0fplzUhohQ1x863XBdt0Qi9vBVvoWxjxJxqeagr1owCmLxq5FYZnF1RZTgisVtXXPcLFYATJnDqUzgjKEkjTC3GfojYxbwwZGut87LE1Mk+vAm+1RZ6+3Cp8bBExTrFD4QBFope6ZZqbF1Jd8ICK44Gv8ItDcmUSExAQHC4JQWZzlJ7bqvj3yQFfj8RadjfO0N6+Nt90RRplqUpCcf7sO+xbGNgc3AppbV4X2Tqo82jHr3y0hRvaZu1lXDz+sZa/U3VVq6JZn7fHX9q6ybut2hXdTtVbps2Q8MpZ5OqAmdjPj87evuFyu9fu0ZUgRYyCnnu6ZtWTKMIeNQBstu9YNZJxvG0v4Hqga37Nfnx8DJlVWmzn8WwCq8d52TPZ99iy/4/jfe4+fAlhVIcuABk7b9PrO4mAW1mYLdYS/swidNaDEXozfA7qAudPw9NBr6uQ6qhW3hTBbxW5bPsBmjby16ey9dV6aK2BPE5BzE/qMSqthjPe9RzCAaEWUjNuIW6VpN01SqBAzEq8A1FXiQX4G2GOaDnh8/IAPH37BPB9xvSyIG4N88607ENhBWiE4cd3sjefGskNUsvR6jZ6Za4ZOax3Sx3l4r4HXhTGwaPFEAV7dBJklWJ0ZmZ3k77FYrRyLJdWXgOPLuuHr58/453/6HU8fHkTTjAk5JczThLSsWJ5fgTXDzx6UxMIV1wRMqYu5S2VcYHH9TKUAo93s7X0aKFVN+sZCkRnW3VfpvgDPmCU8XOeGsitWoR60OUcg78DbJhmbcUFOjHkOmHzA4+EB8BLHVYu8UrNHxLIuNSOqlB553S51bPUa6um5Pb9YNMFm7wjIGvfDHr2rhVmtTJXODf9oQkL+32pStUBiONRz7P1V4DQg0gSirFuZTwdoYF8TnoyUYw2gd6XZ+m2cktRfknaIbY6KgQrZgmQIT3IMEcYsCpqGkkH/b+ahUzrf4U09LY7HEDcD3xunzHrZtQZafanhSd1ajfdhhhnrfoB7D6z2f/SwYLpTfg2tWqu5LTBKg7XT3lctofp5ddWl1osUAFKW0iwOhMlPSFsEeaFHDw94IOaML1+/4vn5ucaJ5SRzN3HPM+RoMond7XurNbhft1vQRNSv3T1QYuf9P3NYOtwDQv+Z+44gCrgFfvbH7oeRJt46fgpgpcG6DlSC8nrBqS6bzFl+TBCcHiPjVKDVTMJqiQFsDaoegeabiZUbym8tskZUMoJgCVPNru2+jTEL2GPugwdJ722FmpkX/VuFAyIj+ij1hIqWXwZUx2XnYmSSFpDovOh5naam5uEy3swlSNgBrsRWEXuQ0yDQA46HR/z26U/4w29/wvn0BBTXIlFpt0OAmG0KmiLClmzXeXRrHkIzmyuoIiLkxDXIUwOnx1iqbr3LHPhS48YQSWnGzeA1IqYMjmId8dlJ+6iMEsQuMVUa8H6aD/j0y0f85eGEuEjZBcQEXiO+P3/Gdjzi6fARD9MJa064fHnGn//5X3E4nvH08AiOjC1L6rUkbRB8kPITPkzIua9/k7XiOxFSTB0gaHRDda1kvhrKscIhOF3TVJojt56LwogdmCQQe5omccfljDl4eHJ4PEqblqN7aGMoQDGxlrNgOM6dG8Vrk+FIneKUcxY6dgK6c3kXOJKxplyqfPbWoi642GbrOiqAJiMlCVZpVoC+7IgVhpqR1fZMqsH5eq115QCi0Ojfe8I4VneiAFDNGrTCPqYNKcdaC8/5gJTXmpggbvOCPlkLEpv4maw1y1rboAyUfoLKJw2Y2vnL8g59l/GzxkdyBY+jsJP4sXD3O7HAWwCnc5a6Pa7jE/4dbgSdWKt0nH2rml4ZkWfo57ru2sBegZTU2dsA3/OgqohnKV5rD+U9zAwyfRCZpXSHvrO9zxiacDwe6+cv6wqwKwVfJckipwTOCygQwjxhyxG///47fv/T7wCAX375BGIZvy/rYhUta8F0LsC73gJH1AwVzrmb2GZVQsmPQGs/Bm/8bg+k/0cA0t8CVL11Lzvm8b3s/+0avgeufgpgBaAKBVcajfYIWZhTygnZMJV76LFDuzvPGhlG+7mN27IdHN5Cu7UvHG6JszZ03BmvasJ779H1XGMWa0QBEVSzpAAY860yHv28/y0WDc7i4oLTgp1e3F8pt/5TKIySxWITc0JKxdKTMzw1YXOYT+AHh8fHRxyPZ6hG6b1UZRdCLH2scq5aNgV/Q9B7G1Y2vs53y/obMwDf1yaa1UDb/zhHiHkrDVK5BG2T0GCZGdHzfU1dPswzPn36hI8fnvDl82fkLeI4H4DM+HpdQMz4+OEJS9zw7eUZl8sFr8/PWC5XpBjhptAxbykSRjWodgSFjfZuaV7/78jd0CeV99DPvfM1xmKLXIuA6tR0NOsIxKLozPMM+ABP0n6DiKR6vAoxUtAuECfMEyinagGKqRUsJQWJBYzJ+HRl5MjF+SqCSb7IQ8XvjnkbWmEDKOSzfZq6dy+dcxvQq9eoQNL6R0RjfKjUsxpLQMh1Yn3i3KwtFiCrsmP5ilWClHrHcY/vcPtZa6BbXqTLXLbnjkJxnCtmLuDyFjxxsfA72q9h1AS5zQyT77S+lVpvykBv9oA99oT7eNwT6h2v1HnKJetyiG209xqz/axiai3I+p0F60RUlb/K02ZRAjZswlvZurJNfFYG4AgxR1wul9J7ssQt8uhtMbRQOFebQwOrzRxUOjSf13N25k2fccuf+jW5t273vttbt78FMHvvuDcmXU/73Y/JmZ8FWOUWH4Qca0yAdwyQaNZV2INqzEaODGQJdM0lG4iZEBlCoASwl36CKJve+dazqjF40fwya+0PtdBIHZ7aOb40pU0AkM0iO6q1Z8h5iTUpmzWjZD/VDdCYhWZMjaZw/dtDfN6JiyWBWRpPO3ELJBaLR4BmQiWxqsw220ZM7cwsGW3MCF40S6k8TDWs1BXXjY6NQoJjhkeC265AEmd/ZocrE4gmhPAEOv8byF3Bh0ckP2EpFiXnHEAZMa03G1DccwymjIyIxBGJExy1vlpqIfBGc8zrJk1PYwTnRhvMst7kShFYFRCFluCzFFkFEOCkBRIRkAgpbmKtSllikDQBwQMXlibM6ir0HOF8wDQdcJxPeDxu4DXjfD7j6ZHhSapyX9wLvl2e8eX7C5gCPqyMdc0IhyOuaQFKp4DsCSkSsBFOeAAmyZhLMAqGl3mLcRVLlGMkjgDHot0mcJJq+gTAeaEPZgepIubEmpRKzAUBAVIpH35uwiAmgAjBKR0ykme4JJZCykmsyqUgrBaZZAgBJS8lDJgzsgMSA2vK2IixEWPJEddtEbdgYlDecA4TgvcIbhY+QK2l0sYZmTJSIDh3QCICk0PklrEkwCwWa4kUt805VmGReQPIl/gZybDK5Tlx40qjIgil514DvfJ2cZNK9KlYr04nj5KJAFR3o1hdCTOYpTSHpwXgBE5Z6rSxgCvvjiW20qH2u4rSe3EKM6KLWNdVLMIz4NgL6GDJNnYkhTVTWst8841ykakBBFfr0hX4ShkB8yAglAtAas8ZQNAD/b5Qa3PZFfDhN8PLTDaan26AYT2NJZ6PusBU+TtkUwuNGVqEFAwTJmEEfFFwU3HDyrw0xV3naT5MeDidEDyBc4T3JCkqO4CjH/OtwhNoqkqXcw7zPNfzxHqliqp2PiiWxRVAzpjgMR3afXPO2PIGfyAwieU35RVp23B5fcafn/8d/8P9d4STtOFxDlLQ1gP5ohKMoTXf2BGCpxoTqDzfUfsM0Fgq/VGFUkrPjHNgLbUj4GpB/X1tR3tezhE8pGfKdQBgFe72XbuX0oKuQRlXTL1hg3Pn9ZGTekDEzNiqUUQ0PNbzufyfuRp0kvGavXX8FMDKuvFGzTKzQYhGY7ca3ahV7f223ysTuDeW9l1vDiY1PA1ZEu2++5twT0N+77Pxb90QNpCyLnpxhlgCbkg7ovYQ25mL+m4DAx3PU3eb930LlZQSPnz4UHuh1SDlrsTBraajrl27nvKOfeo50MzzWhdIXTSa6l/70pVha8AmYGx2SmNWs0Kx4A0aX78mhZF4LjWE2pocTkdcnl/gQ8Dj4yPmeQYz4ffff8e3b9+wbQJ84VqF5/W6gIPcp9fQ5T01ZLpff1/fpx1NwGzb1lwwEoVfYqm4M3MQUS3Cyblo1yY2z54HtAw7dZlIS7IiVFzTZpURWQuZPtfSrK7pnvYn1g65Z81EzVTBYr8mt8HC9nt73mgBsmEAQjNeLHnGGmGtUjlnbCV2DwCcJyzrVe7rWieABmzEqqr7rafCfr+JNUm+mWbfvZPcUywc0+zrPaxAIaJKv3ua9J5As/P0ltY98p8m2Pp6TnbO5Xt7rQfzbSHS8Zpxzcbn37t2j7fbd3vPykAdbVK1vNpnW7pVvqN7otILJDMwprX7zoJRtVSpG5KZsS1rG8tgoatNm33L2gMkimJd1xpn6Up9uQYGAQ050XfUWoh2TPfm963v9o69sJNRJt97jh7jOt2U+cG+zPzPHj9C/yOdWtzx1vFTACsN8LMDljYfA/NFz0BGLc0yXSkhcGvvkqcbAAAgAElEQVTGk8MwpoER9X7xncBgoGbv7C20w9tMa2RYo6mxI3wjxIkIGmtmgejevS0g6Z7JXBljBxj1mf4+A1SwZOdOP//48WMtZle1MePGsHXKVKNxThqsKmCygGvsPJ9yRo6t7U3OuYEqnW8azNtmbR0EWBEMAACKJYGlKjgbqyn3aygVyQtj4gwumpD3HltONT36dDphOgQ8v7wA1wQ/HTBPM9iJ8I1RLBHOBwmtY7EeoLgbJc5M16CPDQQrExtq6hTANgeulcgBSL8/Tg0IdbRnwAwIcRTGrrlK2Tk43xSOJtZ3aC7nEi4r4M6esyeMb9wuIpXbOEu7FnFPKyBqbrN2f1c/b8/rYy4ZCSlpXFW/30SINQEmweuN/q7LgpSjqC/kq3CFc9VSUZW8Ao3FZZ5AxoXZeIIAqgwVIg45TEVbzgVscVUkDseSWVvHrfdxyHm7Cxz6Ne+PnFN3jvzUkd6smVasB4YaTuj5oFUWen58O7aRL49gWGaKu38d9Q0KMleG2T+j0u3A72AAv/cOScvnmHHYOVAeOIInb9x2zNzFbxGVtj2GZscMwxHsEElYhj5DgZhzDsuy4OXlpRbV9iDEtbgXs8YUD3ve3H/vx9LB+PdfA5B0vvdioMc112v3APZbj3wLDN0b73vXOFa50DIg7fzZ60eccu/4KYCVtYA05nhb1K75n3UiJPPEMuueydzGHMi924TZ3/ZQ5tyhaZ3MoeQDmTlm4doCBvSHxvvSzZh3v9dxDe+QDYMZx61z2cXwGEbJRUAT9gnfjikn1DkfNRO9n/cex/OpZrBwBX9U3IFUm/PWdSvXra9rJ1yda1W767sW4BWTZN1tpiZSnfYS+FzvoXNYgLCnUoKgMEFi9C7EAXio4JXPFSYICJICg7EEi5aMt23D88sLMjO+ffuGZb0gTBOCJ5DzcPDIMSGXKu5OhUQmgAUkoiQDpDRqb+Vd4IaWFyWOwwUAsQh4310rtFiSQ5wVnIXWIFW7NY4sG0Ei8wGJiQKKKzSX9j4MMhl/5G61Vhpotr6Pd6DYLNH2yCi9z2CUCUatlK/3AtAxtpH5aXsYESpWMVgLeM11H9Smy9UCoff1FeBc11C7PLSgeVHeeO2zVJ02J6QMx7kDVuUNAJLQBCZ9RkJKAcxULWA6Zs10tZ0lxjm9B6j2eJ+Ogcx5e4LWBvmPyRINWGmHBmNRoLH9TwtSvT+egUYGMPPedW/dr8x4/3/zjI5f3InrGvnz3v1FmQtVGFg6leSFZt35kfqLmjWoSQ363bquePkucZvMXLoOlASeah1U+VAMBUSwBavvgR4dwyif3jpGADKeb59j5ex79927/t3rXIu37EC4vUW1MShQ7+/pGJ28ts+tcvG/CrDSwy5M5qK5DdqH/Q0UQjCVm/rFbdV33yNkJabRL9yNDzLp+/ai/vmcJC4DzF3lWqAX/qPFajwyNcaQmUE5g41Lrra8Mfe3C091U2kZCykzIO1p5LPqE0fTZJXxKLBS4QMAKcWi1UtbiOwEZCgzsC5BGyu1N/cWAFY3pxjnGqgqlirNxCGi6i6qVbHVYlVirBqDQQFUucYCwdDRCGBGhsrUss/IfJ7BOJ/POD8+4Nv3L7hcX/D8/Iy/fP6MD09PkIxIjy0lqTUTDri+XksckQC9nBMSSQ9CBwnejdG4TtiJddSblHSW6tEpZVAguEncUdalmbt6PVSZu95D3cbOSYampc/RXcCOwUlKA2SwVJ8nQoyrrFfw8BCLihOTKjyXGL3K5fpAbKG1ZklIKC7XLNY7FOtiIu5AlV0Xe9SG68Dt+AFI4oST7K8kvePkXAGbaq0SElWggBpbedyOICJpsswZKcW6N1PaGk3kLH3ZC8AQANMYsKyDB0hyTdlxAaBOgJsjTNMKNiEIKWtLHJIszpxrAsLbgmzfLdjmST+//bGAw86nPPM27sje/z1lbVy/ESj2czUI1aIcddeDqydh78iD8Kw8h1qh4rrvh6HruToeoIGjnDO2TeLJNM5Nxuvrd5UmnEMIM4DWYisrrQ/PUfCuVielbesOvF6veH19xbZtOE5zeVEuMvN2Hfz4YuWw5+yBrh8BQeM6vQfc7snwvXN2+fGdsQiv++uPXUC+M1b9SUURzvxfAFhZwa3Mg4v5tBXsZCRi5CyxNSpwK0GzgxaBA2zc1m06rv2xFpNe0+oBl/wtjWLHc+q5Je5EN7qOITjfEcUeUVng0TazBNTatU9g+PLBNE1w3sP5npnmEruhbj95ZqpMsWlAucbaKEiLkaGtOMREHkCBEJeEVk1a30UYC+ViDSqMynkvf4eWKr1pvZ5iUUupNNmlZjlQi4z09mt91mxZBSLp7+d8iXso20CD3qsgYMBWvPdc1ofFrZRiRIoJeSvuSksPBkw6B6RtAyNLyQaXJUeAGR8+/oI/kVis/vVf/xnfvn0DPPD//e//DVo9vnz5hn//81/w/WXB5fsz/jn/E/7n//u/MB0lucFNDp68JAUyQ4ItPYKXbdkyiLy4Qrm5ByRYWsw5U5iR4oaEjFxpD8il6bTMSRNKKSdx21XaAMDNjQ3IvHrN2iwAJ20brsUVe0ylFUty8L5Yr9RVqfdCA1eOGrPWMWzbVpNEqgBByZorQbcCT0oiCyyTswzZZgGLZTGzBIyn1FxlEoanQD/gdDrheDzifD5jnls/QKm031w5YfZY1xXLsmDbFqzripQS1hTruGu8FAlFCsDiagCz2rqKe2bIs8hjWbdS6yuVKttRxruqZZgQpsaucy4JNnpvZjW1lnGL9Y8A+AEcAYQptEKrozAcq8kLXyl1BSmga/49HMQKKkfLqSvD47pelR8SoM3hhR+bzLp56nkwGs7u49rGmLoW65li7gBNJuGduv6AuOmzN+EDQ4ynvs/eb6CXIxqEPSpsoij21dvVeiphEbIR9fuUGHFbQcSiPLFkUn///h3/+I//iP/r7/4Ox7/7X4VvteB/QnMBOufgQ+GNJj5u/LFgak8O/sgx3sNade4pAKN17N55VWnccTOO8ruNfR9o2mcpPXafldAQUZxaiYyYE9Z1rVbkt46fAljpocxZtAeqG6YyRo2rGQKkO2sI31pwWjBcvllQy2wU3I2WFD3fuVuCs4tq7+vR3CMWMOwBrHuI3SKqPUKkuin09J7oiHrC3Mvg4Jzq/GhzaduoVn56t2xz3Ur8QCg1r6gIwshZNrF30mA3Z6RcYhNINkdMrYdWbYlCrcr+ZblKS5XYhFd1FVoA1YGgwjggJi/V/B0gvQCJgCwAHQCQBMB7ut2otfkwAaCiFav10xGkr3Cp4zVPoDDBTTMOhwkfPv6CQzqAmbAuGzh7fH19Rdw2URxiyTgtpnpPDgEOmRO8nwwNNrpU+hGh5+DcLQ21v1XZMPOmhQg7hlJoi7lU2JdyEznn8uLFLC4RsSDvEXkBp4QtbyAuWbO5FQoFO8D3eUQdA49lzMnEKuQMoj5uqjtI3DRvMXm7PzoN0+y5nAVk6HkhhGp17VxPEBerPm+apnL/DOeAeZ7Fzb0uuFxe9sECFwuL+UzeTzXioZYei7U4phUOU9eMO6XZ3JeMC+O+xYfZlGnYAU/2u71zRmFXf3BLPzdrgcYfFOz1Y+t5IA/PUbpgZjhuImpc43YvM4/m+70Y3IS2FjXbuyhotnK88hM9QghVmQdgFJwsTcVLDKjeu+5hbpb3quSVUiWcSm26lKDxs/U9vfKr3v3qnMO6XfH8/IyXlxekqO2SGI4SnBHpjqjGXe6trwVZb83xW8cIcn702Luu0cV+oPpfA/LeOvcGvFUTFTpazIYWY24AS/7/XwRYNUuDvFSMqQrgyvCobTzNjLAbCCgLVmoOjZtZg1wt02iB031RRgsolAi2LXYbzm5cGxc0gplQ6zXZYN0eUI0IWJ8p3cw1cFgyp6ZpgjMtRaQVC0r6N4GTZWQWHDKc80hpa2DKqWspAbmZxaVoZ8Y8zwjhgHXbkBKBqdUkUobh5rlYHZSB5NYPsLgNZQhc/68gsGrHRFIrqzCodV2xrlKmIZTGzSODGcFuW38BUAw0txeLJTHHhLhtSOsmBfhYAKplvnKPtn7qJnIl7N15aT8CYsTEiClhixGn8xmfPn0SULIxOEXM84wprDgdjgjHI9brgvlhQjieKuAJPsAlEsum0fTGGJCxzYrsE3lGyhvEsiCMG46kin5hrjpF3jmAQqV7C1pl2tS1UhoRl/Ik+szD4YDNbQjR9BdjSZ9WwTJPxxI+1upW5ZzBxX0Mlj5pvHmhn0lKfwTqLSua3anrboWTjSVU2tB9NLpvKih1h5K9Kk1vj8djjbGycZ7gvqODNgrXcyvADR45x2p5k2cpTyoZWjl3ayffRQDSNohK5fFU6n7lHGvdL3UHxRhxvV5xmmTPc27KxvjOdm/U9Rl4CkCFVYwxRfpj6vJ1ewvdZzcCikZw2f5WpWkEOnrjXoHtYyztPuDc33vkxwpIVYGzz6xlemyYhIZTZKpgVMeqSQo2Zm8cp3NShmeaxB2uiqCCq7jEmp5vLfOANGmvPM27CvJTSvj++oxpmnA+Hjorv9BCRo4rXl9fcblc8PDwIGV0XIArbXnq2HzjI77SgtKk/NiyByqXrJKWTXcMpWW7X3Q+bS2vGtZh1snS4La1gqsj0GN+H1SN95QP+2v2gXgzmOjzvJ+aezYliJcrl8LYrZRKSowtCc+X4sP3j58CWNnJH0HS24eDNvQbN6zEMtwWFbT37cAY9c9TwPHWOEbNqRRYl+/QLPN76Hm0kOx9R9RS2bWqNRXmEQ5zvVbdYfvDbKbOHzm876v36o9q7SkRMlo399GyZ4X1Pc12/NwC5Bgj0harYCOizqJVa1upoDKvRtSC2AHU+lfimiKkXKp4p1ytgQ63gdDZNS2GkWr8UiruM61QnBOD4RDmAx4+PGGaPD788gRyEsQaY8S2rmBOmJyHd9SNk5iBJDWHSC1+bDOpVCj0jEzBstXwmVp5BI2F2mU+ABwTuASsdy5oomZdUPeKWbfGiKRBsmbuEkmvRZ1vXf+Yk1S0V6BIAVS6F4C51q9zDFmTMGRCwoLcW4Ci89FZNKlZK4SuFIy1itvzPEvj4zDBe42zkSBg+646Z43eZjgXK58KBBwOJxB5bNtSY2Na3EmvefcWlZYNKt8lcJb4RSaCxtIBrnNj7QmYe4cVHhaAqHI5goUfORgJtWUSAa0YcRN29/b8jxx6vY6pjxXVeWk8997YrXUhZwFVShd1TnwPQL1pRzTOj1XsLKBzBZSpQgk0elF6SzsxYBY8Cujv6cTub8v34pIRF3FLS6HQFcjnxlPI8nvhK/o+dq93FtqBf98C57/eejQqu/dk3Pj3veMeXb11/u7+23mUBd96nuWtyQD2/1KV1ztfbL5FlMD+gjet7tbdVd0S1E/aeC897ml2o9Y1EkHdiJlNz7P++5F47XeWcdzcE1JbJQ1jZUclG2QoJPmDh7yPIHMVoPJ5C+QV4mnE3KUPDyZzOzfKKCzx9QLFgAFjNVFtLKVUfdy2JYoG6U/FGtMJUY3VUsuK8nzIZ17tAgxsmlQAiefJBGmb4nptVMftGNUkTOxKnE4BvMWV9+HxF7gisM/nM1LeEOOK9fqK6/WCtEUwA8vCuLy84um3DyYQXmjAw4lw5x33S4mT0qKrLYZD3EfSmLjVaGIGqvsWCTSkW8h3xlKlY6mMyMRGVd5a1pekKKb3RRhp3TF2pR+1MiOIuy+lGu/UXH8Myoy0xRoHV10/JWsTZIABxNrYNFqu8ZV2b+nfNi5C6ZpI3DmHg8TVzPOhWg9afz9fqKa5x1UNbvQmICznCGRX6dQ5VyxXWwcOGL3QUgIlMaoCalnnEk8audBioVxipCT0pLxNG2vv7fkGBnogbK1YzIBWT2/XtXvIOKn+7sZ+4wpMHbiyx8g7751zz9IA7JSF6Maoz+hLvMhebX8n4IZWNPvYCmwL2kdgZS3Ho+yw1lTmNud7ikAPCqWq3Pi9KDR95rkd67qKtUoD2IEWoC73VXnaQiNocDXurcc4hjbvPeDcA9AjIL73uVVW9g5Lczf75p0jE8RjY2SaDqfZYstvHRMzXEw3/X2lr2qRSarwFxllecu946cAVoDZhGYjeu9r8DqAIoh76waAWufD3mcMnNvTgvQ7SySW+HoT6X3wUmqI1/9XLbv8P+8Qxj2maH9zZZCFSRLBF7eJtLtpFaLt3Gn/QTO75m+pBd9dV46UEiZ1NwygSMfVLEaNwDwXV2iWOkbqyoCCYrU+OSfAOSWJ0zEp7LaJMnNz/+3FiTiSKtv6ilWLrK+v1iiq8VOuzA+XMTuW+XWQhsGUAZg6Xsyl8GqlR1/nNwFAymIJm2Z8+PgJ5/QIOEIIDn/5y18QX77j5eU7tmVBysCyZlzjhq+f/4w//d1/qwyPM4uFQvt4ebVUNWAr7i4q7m3fzQcD0nB32OeinZnK1wO91f02kKGCJSkAOjBJRrX+sStFab2shZZsQHZACLVsRAKwbq2fI3OudWNSYVYTs4BbzyWQmeG4WB9ZLWmSnFJOKJXMi/KTszDUkoNHhOK+oBIcLteHMCOECfN8wDzPYkEzWYBs1toqG0X1gWrA0zQhRkImh2kalYemKFDZvPeEDUxvUkdS6iEzgzjInjdNxxUsVkUz9661cY8QNdeMdWXtKZXjMdLLvkJr77EHrtSFrNfccQO+c3/LqzVGbZxHy/NrkguXLgp796fGy6zw9sZ1NR5WWbTyxzlXXX1NllBb//qSEqeoSoEFHN5PYORbhSD38Vl2XOu64vLy3PclzG8r2HuxVHYN9L1GC75zt/fsAeK+tW0PhFrQundPlUv2GT96/KhVa9wHNRmLRUnX+nFbAVabhqek1h8yj9rAcPw0wMoeIoRlU3o0Jke5ZY4owQEmjRmNuVjC3lvcPbS9N47xPHuPZllq37tdoumZ397m3SM2ZoVrvUlagy4T9xvgRvXbOeS5Tdu0mpGazftDv+81DccO7AuzNzFB45zb4p/63lo+4bIs1RVn4yH0XiPjG+dOLFNFoBNJurH5zpeCEhKnUzTZzNUK48kh0e1Gr3PBucZokTZxzoXJptYu43A8geiELS7IhP+fundpkiRH0sQ+VZiZR2RWdffM9DzInQuFIssD//8P4ZJCWREeKOTODjkku6u7MzPC3QyA8qCqgAJmHllzy7aSrIhwtxcAheqnbzzygfzlCx6PB0SsO30tyI8d97d31FJajS17YJtr1zaJCGCBQIP/F48jkWyWsmSWnGu6ISsIFedsFkQi0ps2+z/A2uaQv5G+XmA+/r6VgBRojkEQsp6ErEAaKSGDUOpD719UgJEA9cha26tUCBmAZB72k6soc9xNdBVH0DDHGrmFUV0z5vZrNkybr0qtF+FIB16E1vd6fJ5bUjRwf1l0j3hWss/VrCz1302AGA2zaM88xbpqvdT9pEpSBFZtDgraejidJ1M6mNFcWylkB4OotyL6QAhd8cz594E3hu++Zw2Z7xNDD073PQG8K2CFAVR5pmk8z+lBRIa4txi3+Az41drLJ8R95Aoh1TMN5mzMYhpXzQJYCRcOmaci3KxPw/gqhmfD+OJxHHh/f29xqOqZOYNhvc8zj8y4BvPY496K8z3ff/7ue5amq/X9Hi3+GsD076Hn+Jn3WY2AOeeMo2isbw5Ay2s1fu99fghg9Qxo+E//t6Ai5zoQ9mjRsLrP86DNJRjv58x5cIXIaOnyTdw3zWgBEBGryo3hvNOY6ExA/n10sc3fhzfQ75fUWscAvUpsYyIU4jvUBDON5fwMrUvUzdVe2dzBYCkF+95dZSMDsXh5c92taYGsG/KuZRLuuTfidcZWSmmNRPfa3VFrSi2Oy+eFo0CwY53aj5QwlmSCmExzI1VXlQHe74OrkYhUc5UQ79DWxUEyI/aEJLOISK3IFUABjqMiJSBtCTWzATzC4/4NTBW3bQFkQUoLXj694udPn/HlyxcsLxtuyycLgleLyrEX8DZrv6LxlEvFuiYDpRXAzcZdcBwPpNVGIGJKCQ20PjNHErWWVfSYE4fx0e3g4JVEx5UooRCwW+xSzhkVBUUICzy4W11Ni7nZJC1agiMlrIcG6WYAf/jyZ7x9+6bWI160QTVrc3FaqRULVXCbAvM3Lb/tVy+1MsZFedZWi61aX5B4hcYtaSkTr23lZRnaPWJ8JgVXEHdATUhggtZESozEK46losUgVS8WoUePC7RMLQ5ALAuKuXKpPU9/fzysvMOuLVOkBOvGFNfjAdApPY+hUsA6xlLGczxYPwIXMYsep+cukH6fs2VEdWBqOoT+HIGAPyN+vngCkTTu1d/T097NitmVph67Fume2azcu/Kl2+2GT58+4Xa7obwfzQNyBaziHM3f85Q13ec8Yd/vwxgBBfJq4Q8WKUCVJVZZ5TPQkklcAWQGVeDLly/4t3/7N/zhD3/AP/z+H8Evr0i0tGrsnlyhtJ/MajkqvjHzdAZTMS5vVnDjfLgMjXzGf5/v6XNpIzspHTPQjsf3XG9x/vvaXIfgzOeKlePwhKkv375izwf2kgdXYPYaVn8tMVaDoB8+GydmzpK60tQRsoiacCATXnbOfA/XRuOi6HVngPcMAJ4A0YD8R3/5fFyPA80V6lWBwD1tvYpE/qPv9sEc/5ojalxEfQylVNOix7lzYVzqyNxVuKrg9forwFmrRED+njHj56WUWqHPQWBizHpKMOYDqIXEGuxaCUbbON03jjrSmguygQkAAJtNI65nFdMKtdzBtlojWxNURIxkJSt65ow2/WVm3BYFjnk/unkfcZ6LFvoLDErfafxblYIeRC0iSF7j6EqITnvlStAOf+uktL9Z1KWnjN32ST0sFdyC5q2ePMMr3XdhGd/jtm4QAl7WDQvxYKnUOMXva7m+/h5n5d9HATDvW54AeVSi1CKRIRKal3OI8wzKD4lmvxKPmYnz8+Zj5hPKk8aGtXqO2LP7uJr7oZ7daVfWBR3nM/4IqAWw87OPaOPq8Krzw/Uyjj3e59dYG37N4TLB799AQQCCjU9P3HAeI1G3/vciob/CdY5xDZkZt/XWrPAuX6LCPI+/hTiwNIsTMVtCxYIqGUcrImp8dTGabzxUcL/fsd8fFn93w7KoLTaCovivKei49hLMc/iRrH02t3GsMxgdPx8NFOd1Ps/dM5D07NnA9f3nwy1UXqvufr/jcexWV05a8PpfHbDaWvA5Wt8yInUreHZTJWBbVhWM9QEpaJvDu4lHQoyBvnrvqIVpMb9l8e+eFTJzF5BZzAgg7rWeIrNjdgKzoNquYkHMypbIm5nof8TqNmnjlfCtCZplSThKBgFYF22TUo8dwgAnc92YZUbUGQCUalqUAF7MmropPI5VAHAT3NC2CKbtFslAEavhkts4TwLKFNRKAmFCum3gkrHf70DRAGW3HmiRxUPjeFKoo8LaekEZ1TqY6OFjhFoHjJ3q/1k/Q3Xrk1uqdPqpiLqxKkOqXtXqoZG7nPV+LXECdi0Rqm0RsWq7pRYUKRAS7ATw64IK4JCC5faCWit+//f/Lf74dkd9/Rl/+uMveH9/Rz0yHm8H+L7ic/lZ06MpIfGKlFYwL5pZlwjUEi46PZe6gymZUPP4jsXWgYEMrGxWnFxBTNjWTa26XR4ZVWuGnga2i82LtCDuRbSXYbb5KBBkMUy6VGAhpPqKnDMed6WLRIRbSiAhpCog6ZowHQe2WrEkxoM3vKaEnz5V3N8zvn3dUbYDKVVgS6CFIezWsgOL72takXF2Oeve4ZY2P8QHQq1KiVezVDlQOVCKCrjYf3KgtxQE0lHArPWs3CLk81xLBod3ksyg9YaFEt7e3lBb4J8rP9T2HQlrIDoRqqoMIMqQrIoTW0eDdSG1Vi2EShUZGZWrWhstsYEXUn6QtBo+m2Li41XhHXgrDusnGYVqUutcUnqXwOc6j/LdMQINEavh1BIjZoHqgGuMowEAto6Aan0bQSOnXiA0ggJ1m47lFNraMUGr25MRrQJ+ToxFCOU4sKbFytasqCCUqpaiWEogFiV2pc+fP/BRFggLkPQZwoJiXGp9ufUaV3afBsiPrDRrz+QEjasTBuVsFrmi9daWBYkTbgx8yxtSWrFXwp+/fsPb/YHf/s3fouQKZtFwt2SeDErIUAWPLcmlBWkLWTZxDdnU0pRclaM9lqzJKOmZij4fsL1GpO5LCCOl7hly+gFghWtNaPTcBCzmYTkuEs5m0B4NHf4vNeOIK8y95V1UftxKJWbdPFjwXnZ8vX/D29sbvr2/WdKDIGcD2zZCqepdmIH7fPwQwCpOTiwVLxRqkxj6nLXUuNBKsKVN+ByE5xPrwYPxM7+nB8JfoeMRuY+L3FvhOGAJmmn4Ge/lz51RdWQgHIJCG2GyNgz998zvuCnOGtj1+/QxpCawxiwWNcX3+Sfq9Vh8vZJZJrySeq0VC6dWBC9mLkUtaZgv+xkBnf0CyIAb9PrwjvlCK7taizhHfe5wSSfOfCKTjd/9/vf/gC+3W2Ms33LGfX/gy5cv+Ol+bxaKAgFV7z3XDGSX7+fgdP5OXTcj2Ji10WHOntzfj1KKZead50kwu4nM0kaEggL2aJ8LjVeZsa7fZvFOsADRfd+xWGxXYqPDFNdDGWdxZeXJes77KAVLVbT+iMiQ6RMVL53rWDla41fmzDCZ9kJ7bgSxYe0iX4rPc8DS7kO9S4ILhSjkY/gDKrf9c87+O8c0XVkQ5rkbYp6moHQfwzzns0Xo6vfvPffKGtEAFvPld/O7+U8iajk8s7xoivKyYAn0kZb1ND8OIFwuzO7TZ3IkzlX8PPII8BgsP7+fB+tHnheV2pyzhlRYJ4CVepZr5KUYAIjzBfs5uf+H6zDurxkgxVpq+t5j+Mm8rrOc++h4tqfj3F/N7Uf3j3ghZvi97+9q/dv3Jp9qreYtGkNlfu3x4wGrQLgSMjrhzCsAACAASURBVGyO2mvjxOKGEY3OgtHPScuT2CecXSUzA46HC+uZcXwkvPR8vjw3/j0T37WQPzOSK2Y0P//q2vkcZehoa6D37s9Y1tU2ZBnWSt1rPag28Wxel+Y+isXzlmWBrL2YXdzUKQiPNlZ7/chk5vlJxkxd66VqzbBDan6ct2fzOc7Z9fxGYDXTyrIsuP3mZ6RVmXFKCWldkKvS8dvbG/YQz1GlIpEXort2I10xcCKNA7vKGooB3s/WXwHoWQts539AWzMDbusBLZjq9NDpM8S92fXrwuAdqMeBx+MBLAmUGCjqSuQa3U06lpWSlsiQ7ka7Gqd/54AjApSYfRU16mE8pPGDDniicCEiEI9APALZKCBnAYynwIqH+zN1WnXgGenM94uE+lxP18TXXrRAmwPVeKhrr+9/AEOAfz+ROx8MPxtNWSbn6TIp5w9xzdPi76We+dcVGPGjA9juDmSMmdmsJ2JxXmX8OYYixDV04PpMUbni0894+EdHV87PcmFO7KlVWgD7/X5Xukl0AlaaPd0BfW0VxE2Z4KgUj8DKZYAXLY3Pj3JiGB9VePeTOOeRtzxjK+0+H4i0GVQNcz4pnfMejHvU99RxHPh2/2ZuwLvWBfP3RacJ7VmaeiHRvwaLlR8uU0QsndGI0ivmAmiBpjnvTUg78arM7TFWfYOMTHDWDIAzAc/ZRfrdaBK/EtadKgKDwBkAPUPk8zvNG7Yx5dDJu13X/3gK+K40v+HdqjQltdE5Eba0oCQV/FF7njUif8Yc/OhxU27N2tYNso6ZnE0YXuy8NqsX4NR/spn+RaykQ76uOzKDpyst9YoZzuvdnjtZ0XSdDqyvL/jt3/4dlm1FWlccUvHn93ccJfa4NJrTGgQav9PWbwQMV759nbOz9dLfNRZ8ncfIzK2/2FU8xWHFPAezt/V8cyYuawGwAJ4ZBcIhFZzPTXQB9Fg38fY8psTsD9xeb6i1gMU6FcBKikCaiCfS3zPOewU4M3N3r4AqSj0g6JnEEZASUQ8qhgJ5B7nte1SUeg7q9arzPq5aa6vFFuddafSajiIQ1bF7fTI9f98fQ+0uL2fQlBHrf9hoV5S2/NxoyYev6nCv8566BkgfC5QRTH9fofPnzdf57x6/OYOpKxAbr2UGUBToV9IkHTHrumbqAmkhLIlA9r2XobkCSlcuR/+uC9vx/MHyN30HoLWjAcwaZKn+UcGL9xexmFWzbh/HofFAj4fy1y0NfHcG2LWUAKwscYgwWDqjfIjzOitdV/Pe/qZ6+n4e07zOcZ7mBsczH7lag6vPr2RgmwvzoLjFzy1VRIR1MyNBaEvXysAUQOry11FuoQ0YQfvD2X2jNa3KKS5CJ16zg/yYFzJujFkzmIXKM8Gtgu56DP16d9cEhj8HeoZrrhiPn5OSauekk9SEQapVA7Wn87939I3zxKXk72LgSqSvDTNrzSfLTomgloQGs/DsmvB01mVZmma9cIIsY0ZkA1hEp/fz49l8eXZfrQU1a2ucemRrWzMGhD9jdPO7AJbYhWszc7R0xPsxM2RhLNStn7dPO5b1hvtf/oz1toGXZBW2+3WE3g9wHqvfZ6ZNn+tWTmICqf57HGdUPGLmZVQuhvm+IK8RRAN+0pXwIwLEg6lLz2Tb0qJrXQ7U3VzfDkhCFm8l+y64Qkk0YL7SOP8KEc4Bt/P6zWA7vrPu2SjItU6WxqToNSkRvAVUrVoItZSCKke7/5WAntev/9M5HBRAq1sm0guidkWyWxzjeg/vLGqZGgXPCKwizxzA3hRH0t97VszOglUkXvPcDdQF9dlS5QfztbXqGY9u1wks9tIyWyM9VAGSZhiv64o1tCq6Ar211lYvKh5OL3myiMe9Gsftv7fnzMoeOt2s63oac6PNVFGt7IsDA5Fzhvn8nlqk10GaKz400eG8j7sV1ZU0f8crJf1qjmZFFnJFV+jFgmlc23k9Tte1z8p0zvy91wdUHFFrNiPNgdjZwROBemFu7sDKeNBVbcp4/BDAag8NeWsdq6B6HA6RQIwoegYGsK4JLy/b5cZUbZUGQlAXzsslgwM6IczB09p/ik7XXG1EJ9irc+Pfz5iN32ddV3OBTq63i3OvDqIenD3Gh1yj+aFsBAioFTUXHNRT0VdOqBg1m83m02NzRERTmI9DhX6pLVW8xQhUAYWMwfl45gps7wrAW6IAJlB3BVOtF2DVLEAP3L+anzkQemaQQAe0RGSlAfhy7SIIPbDggYJDCvJC+Py73+CftwW/+w//iN/+zd/h088/IVdtgcJEOMqOl3RDwViaogGjklFKbj3JSul7ZFkWSNnb+Q5qHey6y3KOByMiJO5lCzQguHRaYavdpVUkLOJAr/dmtqUU7A/t+L5ia1awSK+uHQvpmh0lo5SKxABDcBw7Sn7g25eE2+sLNhSscsPycgNxQgJAkiE1W1C3lm8Q0QKuule5uQj72hJ079RBQAA48YTZPFPKPszTsM4owBGBQQSRXVFbU4/BE6DHckl3o/k7LQywaIKMxt2JtvmhjC9//jN++cMfkB+7ZX2pW35JC6qsTVlqoKPqW3bJ4gDHShO00dIw7gaWaWmfP9uf8ZiFcfx95nlX90ycLq/V6yIYdDdSVxau+mcCWiPKx+j/sZVhoCrAUbCmBT+9fsLnl1f8kUi7Mlzwc2CML7oa0/wdMDZqdgDu9MTMSFtq4RFEhGVZ27h8Hjyj2F1SRISjPpCS3vfLly/405/+hPf3d/zT3/0jPM7V38vDaPZ9b8Hrfijt04XFKnYESc1KPa/n1drPwDcqdO28Ui9BYPMWkQz3faYQx3kH3OM1umAjKPWjlIJv93fc94cmhgUFlZmx3jaIKLBqyqjxlpzrXw+w6pNYtX9TjJkADF1eNNBEr1Ez36vU4+SC64TzcUG6iLLjvzFA+Kw56fVGXLjefM/Hfq3Ntd8vNvt8fn+zeN7ZFAucA//iRrkCGrPm4UU2G4h14BLKBQDmo+axZgoRafbMxaY8v/94RBevX8N2UTSZExkjVQn28bw9EQxXcxRjdmKB2mihYGa17FVC5YS0LFjWFbwu2Mon3D6/DjEbRCqAkUawN2iRpELQ/x7jQDC8p4/fz/Estpnp6buPjIdI694wM7J0puLp/+wPoz7fpRw4Dq1BRUQoOcNpTKTiKN0dSwIFVqL9L0kKUAtAjGO/a3ZbXsFlaT0ZhYAlNI5mBtZlsSapTlPmLiQte9vpWcGOa6m+H1xzB7RFTdwvRFPnARoFQ5+/c1FFDc6XIOCMPhrA60CBRJzYT22rogB8f39v7Uv0nXmgyYG2pYOlfg6+e7QxCTeL4rhn3C3y3EoRv5v56AiOzlau03tc3v86VnYWwmLzytJnUfHYaJFV3mF0UgW0nPlAU2wm4HD1feRLLpdoeiYQytJMDaUTOm+ZC5LGoPWCDqQ9gN0z9xSw0DDvIh6PrC2bZt4y836ZFG9X8twTQ8RmTR2tVn0vuLXu3NfTFYu4bjNoOsm+8PuVzI3ga/7c/8WC4W6cmbsZOH9XRVQVkxYGhL7n/2qA1bNyBwUCKUowniFYa8WeDxwlg5cFt9utaedNyKdxEbqwUm0G6AvmReFmInu2wbsQOqNnvdaLAehnGlTYLRwuCD7KvvB7+kLvWRkqLz2GIjFrscoIAqf3vNpA/g7zhiUiVGigbE8J1ntxAGe1jmMAMMQFxL9fX181+8IEgjMNDVBnHBdMCsCper3IFCBLWrqiatl2SFFCF+tNJ7n0zLZpjT5a2/j9ANz4Oltxjl+K33NKEKpY1xWVtC8eW+HGWrWxZ0uqEEv9L3tjYh6PJqK1bl5vGygoBL4W+77j5eVTExpXwiZaC0cQRa3iuZ/vBQUBFTbMDLAKfiEtx1FKURecGw7tfuuqtbx46YyygsHVG5gezdJ2lIIiFcxqscvlwHHXelxbzUBVq/SaGEtakAystGrXtJubWSAYGTTVYPWrFdVd8QidBQg2/+py670VgVJ7qQgA2r/PRhP5irtUHGz7P/9udhHV0JNsPlpZF4am2xM1QMjM+PLlS6uzk9LaSswsSy+qq3E6wR3WhN7ZiiDopQX8s1o63+q80y0LfW88O2ZldD50/18kn9Co6A5C3ZSKDvy6rS3yTn9JvR8BuStoiblZH0opWFJq30XwE61fMQYPQNuL0frk12g5mg40ovVjdgnPMuY0BoyJMccxJlc4uPZnecHlfd+xLIsBrK5IlVJb/N9edjDDeIu+97L2IPe+Bv0dPW7wxD/tdT3DXj8flefYfs7fX/nduQTDIKMCdp8BbYypjvPnlvE4t1HR9s88tipmAvvzfe28QC4HeVmtkPYz2p6PHwJY+TEyLAVBItL6Bbrmp0cdhF2bUBR4EKIfrrX6+XO1WT1nNDfOAioejuo/unZmUPHceM2z+1/9/RHYu0Lr9tvwmf4br2sgrApWs7AogV1bsmbCJg6B7HU0vz7TSr43rtNGlkkjDS1WRKQ1/IXF6FzVmZzXdh7X1fpf0cEVSLsCxcSMyhXMC2rS7EkRTcZItWrNMLJSplJQK4FDwGQDaR8ElPryak0rfx+tW+NFHD3QGZPrR61K+TQeXffeXNiVGo2BNJN4KSgTg/L54xTa0oiAUgJJthprO7Jk5HJoYLIIai3I+QBBcDzuyI8b0rrYegKSCEQFKbGWTwAh11hAUTA21wmuvnQGxD530R0xf19rDn/Ne+jsVnV6X1N/DxfOw7lPLN0ep6akXeENnpl1LW63m1WHzti2K4uVAecaPjvttwU9O2+yFteZNgC3ikQecT4nzFLgOUTz3jhbrvw7wZnnxe/nZzzjj8Nn3EGe84jIs2awA/TeijMIjfe/4tunxIPpXxundGVbRLAQNxCl93mu2DtwyzmDlx4K4NltHmelAEPaNSULconGg3EMM/+7Oq7GoPXXrmMIZ35wkjO/8nlXn13x8Kvzz/u5FwMevF7De7GCUjuvtPcm44kBJD95dz9+GGAVAZRIL7DWvqte9TTDq06frD4asQhgTMt3Yor3mxd3QMwT42v+Zy2taNePmWAdOfvEnxc/EtYY83QNvK7m6Neg5Xi+a6vj2MZn+dHiPSxFd9jkVVDpuiCf995i7qnYz4j9SohdjX8WWh671eZbVGhLqQqqslqq3N0EF/LAdxn3TANXMRHzEd0J81w2+hBzw1VBogWVCmqp4KVrxhqTxBCMmaZ632tTvc61bnYO311pyPO7+d+z4Lh6/1adOygJyswL8rFbXTLPzvVGvzw0RQeAVTLE2t3UWkG1tGrGIgWoWdsEHTv4nvDY3kBLwvp6IPGh77YhWIUy6nvWYPIGakKfNQqFC6e4qnBSwB2jogRg6OXYXYmR/gRkFiyC0VytqLVbrGYBm1JSmr3o1RfBmQrGglo1a/Lz58/4+7//+0vLCODWBEEtcRCW8UnuvhlpNbrtJJT46HRwXTfqmYJxdcyAZL5H/6yfM4K4ec2e3/f0NwNs8fvVWt0YxgIlK1LJAk6aiMCMISFoHt+sJF69QxxjXP/ZOtPj7kbeHz0J8d4OqIjUKLCtGgNXSmmZge/v7+G5nj1vwEq8hIfSwWyB95jXZ4craPpe0SrV58ndf5FnXvGZ58/ocYffK7fwDFzp7eN3/V+0nqlly4Esq0IbrIxFNNC/2D1zzshuDRPWQqjfCdz/MYAVq+bdrQyjP9q7kbupMWqAEVT57044fcGvhX0jKowF0pyQ/Rz/PJFbAtwq8H0GcMUs5nOAM8OJRBnPuWJMV/ecCXoc/8cWsWKWgqMe7bucM7gyqkylFvCc0ZyEUQCUMRtuXhfXGIbvQywQEWkWIBTUSSmaShzcf7GtCnCuf3U1V8M7PKGX+N2HDF4U9AgIsAD++A6e3cksYNIMNwcecS0ifY398LTYJoV5jOOZAdMzAZRaZes+v75/igt4WD0w9AbaR37g8dB0ZSnqMvKmzPG5FQaIlgUgwgatKbQXZVb5sJYeUiG14NgZ/L4gLRuORwaTBpGvIWYlumVKFksC6C7qFnIp1Pb+vFbP1t3nMg3KWNwf9ULIdj5zHJ3hLoEPxbXhwmOCDrqFbABjVQBkfP78GUTqGnaNu2XhksdcFa2gL7oWREXrMzVw5fSs56bE0KDkHqM3gqbn89Pn4vx3nJeP5nc+Nx5XwOKKh8bYmKv7V5LWFgtMrVlyLP/CTldLr9U0l0+IoQ5xf/lzonvOj3kfX81XLlMWWwAtrpz48+YAcL+fx1i9v783MKVg0mu29Sbi66LV0OdislF5enb0sXcwH5Vot+J6mEwEy/GnX3d1XMm7+PxnR5+Ps6IynxfdqJ23joYOhR+6DqVowHounjU4xrs9O34IYOUDUoYlmgnohMTUVBon+lhHCUBr1eD36szsupZOfGYUvPHaq80qLbvmY9MkEbVsvHjP6H+O18xMaCTGcbMO11yMyW78IWCYLSH9njzEhVTJoJBhJiIoVlgO4f7JtGFmhrvsmuCbKlvHY9bq47qcvgvmbQdWAqjFKiuoQtUVuqqDNW/0eU5mMDq/z9V8neZ9uqfYnBLcwqDA4DgObSZjpC3LAq5aWTxJj4Oqoa5SrbUHjutTh3lEHS28wJgJOq7zCNo7k6nDWKsH53vpE+pz41X0j+MAak8qYDq7qYhD77TEFqtlqc5vmu1ILMChwC09duzbA9v9oe9dBLdlQYY2ZuZ1wadPnxptKdA7m/p1lnwOMIx3BjwzLRAij9DMXGZlwv26swUnKh0pJW3JM62Lz3/hkIDgYQ+iwb1Spe0lVMHr7QUQ0QbnxHiYG+n1p97yRfCxVSCCE0IC6Mx79DhnSfYxOp1dAwbnLZjcgbgqNjq9W3zHfvS+pfPQ+vzP+1EFImAZln5/7ZittEo9iJxXDX14WCxrzMYF8EQYd178eDxOdBCVm5NsCPtiAGsXcbvz/HhplfiZg6sYYB6vj/wgZgHqeLosiTy688AnvE16WIBbgc4AZ+QDUdl7LpvQnjnP6TwvJ3kyhd8UCYoLpP0Tgpa7se8WLMP9vR+s33X8XOLHT48fAlgBaIwollVwtwMAeL+rxsyhwaceAByFoTLcHrDrmq7/O47jJHCiBuDvEw8n/F4H4+wyJAo9pWjUSJ8Ju/n5H2lmEVBqQN04h55l50UI9cNxjp3wZ+EHAFJTMzk7sNrsewdHpfbSC74ZOUkb+8LdFeKBgkeos9KEXhUcUyBUW78wH20c1TX7EENVKyhbMcZakaSDqqid6N/jM+Ix04HPsdPOFZNzRuvjnOlgNVcLi8Ca0w/m9nJkPJjA64IFCygBt+XWatv4e7T3ggzZWmrG1nvlnMGQlnTg18U2HFcMya1gEVgr4y5No9cTCUIF4A7CSikgFry8vGCxnoWqOGj7FxVkvd9eA1YrY1sJtDHStuLb4xseX+/YHweOWnBU0do8JQOkhVW3lxfsD2DbNtxuN2zbhp9++9tW4X9deyuSWoD7/miKQF3cEmRlHwQQcHMj9vmc3UAAJhchs+7FbXtp+4YnvJD41n532qBarTyF8YCk7qkkMKtgB23EArIq6Jq5qFmBy7LhL3/5C27baxOk2/aCoz6wLAteXz7ZGLoVpyX0kAfd9xy5nPOQTOJ05jXungl26TDxBAa6oA7C185jXPM9ACA+W/b9+rj/Ptq7J6XHAAMDmm0rAs5Kh1kqViRUEWyvL3h5eVH3fDkG8DSDoyvFa36X+LnT/WBhRA9OpyrByiRIS98vc/C8B8lv24ajPuDxPqUUfPv2Db/88gve3t4a4Gl8qRKQGNu2taB1LdLsYzwXxI7Gg1ql1dfrfF1Qa4Zk73ySgxszxpzNitt53SItfG9+gV6dPspIp9ci3Shw5v+jJXKopF9DCEutKMWC/t06nDXulNmbuScwfawo/DDACtDJjh09fDKc0c+awFWcUkTFVxaGedHmTXsFONpPUeHjWsF86KYYGU5853je1RGf/exoCLzWnkrsBHZFjMFSE0FDvJ//rQTUCzE6UxTpBQqraawpJS3uCKjFwRk0jwHBM6G3OSkVNZ1jrmqt2oJicq064Q/zYP8aaA3fRcBztbGfzWtkpM/oK47v2VwyM6h2K+c8DwWCVCyNOWl2nF/3jGnTVMxP47Pse6mNkc8C6pmG6PeNvw+ZgxHkB2DqNEKkdbBWcyc+3jPIxlqhoDIW+gSr28wFy+31BbeXF7y9v6PWd5RSUXJFrsC6qwIlxOD9wIN7ZpGIYPn2huW2taKz/o/WpFmMbmFNvWCnK2Q+f9HFM+/Jl3Ub1jRap0arw5xM0FmqC00HNVG4NhqzPRRXR+/d/3Y+eByaANABByHb74m9T1xg6Zbd5MBqVKiu90Xcp2ca+T5feiYwBdKAVzxf5OwainslZoFd3fvqmUBwE8ZxLQBVQsrabHqpmrXrAN2vc9rwbLq5B+M8N3OYQeNHQaGYvQ1qSDh7Mnrz4w5W4v00JCWh1q5oH8eBfd+bUcAzt2utIKRmpbriWfG9Zz7hIE1B/hhfW2tFlTL01p3nJf7+EQ+aP78Kq/kIdDUQhZHHzuEkM35o1w6u3gSRQ9ffaKAU7czr8aPLsmhowwfHDwGsfAMBQLau08wLwIRbYry9vaEIIKLWJmbG+nLDp9/8FpUTDul1JTiRBi4y22eCUq0DPFm5AgPlxNqkFVBNV0SU2Ku5ouBmUm9mGV15Ev71VF1pcR1sXb610a4+06tId9+63hcQDtYkM1+z6F+tcKdAhXWtSIsGHMY6Tcnul9EJMWFiXiKQclgw58iYSiX1yROBoCCJsIBlBQpMsG+qiYC1HQKrSduDxh2ElVKwrmtjTqVoo15/Hi0JZOZ6IYOhoj8LoO8gAeASqbssV5DommpWvljaP2nAvY9LbAxJLWuMru24BdPfLZr8z0Kla+j6d/+ulGNgNl0gCoqwBjgmc0FQBVCxYkV9VNTjUCABRuUVckvYUSH1aAxZCEhQtzIvS8jp6/VuAOBw6wUU+BITSHq8VrTA6Xxr/NdCpEkJPjavW8Vk+0ONbETQ+LpaUeoO4l6YdNtWpM1q73DGfuwgSho4LQzOFpxv+xd5AQNIJFh4xeftJ7xvd+zbjvev38ylUPH+/o7t/q7vVZUmayXUrJarJN9wOzKwruBtxZ4YxWK5Xl5WeLXko3Shd4RClESETL0Zu3/mAvS2vrS/Yxp+5FVXgj1Wfy5Ld4WnWnFIBZK72ztILKXgRi/Y84FcdkDUOqlaeAGStgnai6Bkwqc1obJgP96wyYqlALzuaongUXFK0TUX9tORqoJW6aCZiEFMWgokwB21TOtvTDeo5avzP+Uvah0RGmPs+t46IKjwWmcAaUHaqmns85z6Oni2YizJ09dr/Fvf0NfkgHsVlLcDwKJbkSty3iFCuC0rtrRgwaisD+5kIizL2Pz4OHLbAwv1Mji5emycWTjF59X6zBWVb0gAm6W1WXiQVPaIKrlSCYTF+G2CVEY+BKCEsh9ISYX8437gz3/6gkc+sKUFIprMQ0R43TYkXvHT8grhpKVLgqKkgetKKQ2vSCxpQC2RTP8uqJIhKmVwHI9J6Uxg7uMa18vmSM7ASYnV6GYfYxj93koK3N0P8P5/gIqSzfaTrj3U1gZXbIkYS1p1TFllQkoEQveQCQHS7qcyBcygqvzstr60tmwfHT8EsALOTCo2+2VmLLT0ZpNEbXBdKx81zkFDaC1cJgEjsXBY3zjEarqO2l3UKWc0/gyJPxvbs3Nmq8nVd/FvkTHkcCZGPbnPR7u21rb5Ad1XWrMjzCHpnLq2npKZ5KkzIGZ9VrKaK8AYJF4d8IW0dk/EH8ZL3drmtUNYDT1du7OYJBY9d54voNfbivPh4BjT/Pn3cePG72fNLlo0RiB11syG3wXtHZqw8OfXUYsa/wGOqJs2BShYmeIBo5VL7P0Y1NbY37UJjaDZOVproL5Wq2Bu1coBCGorxukMKFqJUlpBLFgWL5gKSPE2GhkkS9+fIlB3oQ5vXVdz8b1iuT9QakUuBdX6d6V1Q+KKepgJ32hyN1dGM+8n1fZTKa16vRBa4G48fOwOsKOlz3/e1pe27nHNriwncc09BEFPHi2xRNJa+0TQCwBydEAhIpaVOFoSekByARV9Lw+cvt/vWoMuWCaYGRXj/kuY6BjnI35+NVZ3H19ZAYieW5BmATuvx/iMHofkyk+c+2EfXfLVcyySP6Lzr956ayieNM2FPr+DpyveEMcwgIGLONL57/lZLpdmy0rbf9Kb2bvF6u3tDff7Hcvrp/ZOLYaMziVc/j1HfF99/jn8Ic6r/361pv77lVXKn6Ux0/JkTeqJ/iI/c6ClLWqUvzX6tLjC8XmeLUlq3KgVd8t4bgonESjhQ8vlfPxwwArwRekWBCVc4PF4V+1vW3G73Vp7D79GN6LeY8yi6O4t1T5icLQTBBADLDXWYdSi4vHvIdBWpXwcsN3HvrNKr3qeKGy+MDHPRO68e2Zc7ffqhQMD4ZXShLqfV8nQuYZ/6/+5p6B6wGfP+uquhGXhE7CKVpJohmZ0IeFHRUi1xciAiLT8g//NNplSqnZt97WowbI3gJ1uYbza7LH1ywy45vm8YpgfAav5Wp/HvlY03Mvp8QqnswQ6byTkYHSBF3JsLjuohdHXJFaMZ4qxCt095Rc3+hLRiuCkv8f3XJZF+6ytq1rTJmBVUVHKjloqUIGUevyXSIGggJmwbYsWkpWKr+9vOHK2dkRamyet2iaHa3fPEBHysYCoBxuDGcuqFqtUrM8ak1ZyZz4Jv7hm7prkQO9L6i1E4pw8O5oCkFb7WxqwcrpLKWmzbYyKn4jGh0SwTEGrrxb3cRwZRIxcdlDxMSmP1DisZQBWGjzPLQaNmQHbt9ksGtER52NV2hjdznEeWhmOwFPa+fBCzP2eEYxc7ZcIzOLncX2uzhnjgmbQ28uPIHzWFRFucUu+9ixmYYJa+pLVfqMqrQ0RxH73jVrHnP6ISQAAIABJREFUorEzYIx7Zv78iofEzMR53purT/Jwr2LA+v39Ha/bbQBVtCQkn2c4HXfeEUNW2j0HfjQmEtVaLDO8NJqOa/Y94DHzx/jsxn/93Alg9XfsAfpxLmtxvlVNrrsxQQGUGgW8SK22E1N5o/IPQihVegFRwqBwrWsyY4Lge9HrPwSwOm+MKdUeyly+ffuGfd/x0+sLbrebBYrHgF5lHGetUi1S/Z79m3h/ItEU5eb68+f7Oc/9/B8x3WfH1TVdQzpbSACoK1FEywnQBVEGBhaBigYy1oEQqY4MT1iJTaiAzQTN7OCoVYQCvDgrdyY7B33GOJwYq0QyvmuFtiJpViiM69ddGbrhG7BibuCKAM3CDNPZN3D/e167aNp/pjH/mjV7dv+4dpHxpJSwiAZE+jnNTTMALwDoAcl9rbm56NoZ7MHydj+ca1w1mqJz+Yl2b2p2MkC0DlgJaE/LXPSU7ZSSVrZGaWNYloQi2dyZYmurQe1afb0AVJGSxVrdbihSsW0b7g91LeSqMVarBVmzWaiSZcOVUkBHiBv0WBaB9dcEwITt5WZKQGwzEzVrzdZki1GK1cjHOe9zNMdKXdGLyDj3TgPChJTKab9qvbMzYHAQpEk7GSn0H4zvmLPWAqtREarq7nMwwcz6vTCyzZErOvFdNAyCLvevVqXvmnvfq7GUCp0ytb93zOPpe+aJJf6Dv2cgV9s9O7DyJYxgeuZZXkV/XvMY++T0F7PV4/GRZWZ2N8bv4rxH2mPWOkp+jYhm4rrS4ZaseV507dzAEKyMFwqD1AhaZouVAiu3Bvp8Rh7T1svfE2a5l7CWMXNx+kk0zRlVxBJt0viJtIr6OpcJIlnLjkCm25IBqnOtsoIAzmwtK0QznG3O1bK+gheesrOvjx8CWIkIkLQ6NFkdjl67SuvUvL19xfv+wLKt+Pz5Mz59+mQGnVDoLHUrQL+5BqT1g5HzoxHCssT0dovRCn7Z9n52r/m9I1Pyn/PnXhiBputEpKXcTjduAXVYGDVrDSFK3fpTcWYsbZP7vetIMNIluTF5g0qqigFUrWIxgbhgWW9Yt4RlJQibluZET9kItSJbyw9nRL7BlwsrwcAkiQzIovWPSmHOibqZVmOBCCVrQcpyWHBnKW0QV33M2DYOZHSZReEa06tny98wryHIdL5X/FlKUfhZa2MARIQ1JRzMmoW077g/FDxw2nG73ey+aoVN5G0mtHaaKt5e9BH2uQKplDbUZv1yhtm1LUANoF6tvCJUVQ/CQesmkGl8tcX5QKzjQRBY26aB4+uyagxZrHhvjZzXdQUVwvvuLnxtvqw0qo2MAdW+13XFp0+fcOSM+37geH/g67e/AFRR62dwWcF8YF8ObNuhXQLMYv3y8oLE1OaqZK/xRBB6NCHp7a88jCBa8gbwTxTa2Nh6E7cNHENEoqAgRGVM16jTk2n9lqSwLHWgq3SzHopBOHMCFtaioPf7G97e9mZ98uc6k6+lKLCawEFmxpJ7LFkT1ovGGvLEL9t9HehP1yWmNu/jnC22VzzrV3lxvG+PWzVaBvXyHJPgVcuDAOk7ee04WxPjfiQkUOqgSkSQpKIUDW3Ythd8+vQJt9tNs5drz4aVYOkvR4hdE1PATUHZ9+cNu6MCE/fbDEwjmIzZvTEBh1mz+3ZrEF5zhkhF2pK5A7/ip59+6oUuDezNQGuYswng6bi7larWsSwOUAHC4EYfaaQ/K4XWOs/W6OqYQWbRnGh7X4v1DHWzmqEAC0T8maMhhdnqtrWh9pIipWps9/v+wL7v2piZGZQInz69GqgyC/3Cp5CTq+OHAFaVNJiViFBKxy9E1Jg2ANxuN7y+vqpgClrgXE/m6tBFtcmcNkBnVF2oX2XGNKY7IXy/5tk7fPRdvP9830puH+rnRLfG/Ax/5ww0i9Ts42eilt7sSmUDCInAlBpz9mJycOFAFhuDnhUpJK14pzODWMT1Cnz28Y7aZZwn3SiGmQTqKi0VUgAp6m6yKHdzXvKQAttrmuhvtVSzujkTo8BsFZRpKi0PzFDfvWuQcRyGDYcx6XW9ppALC4aamxdi7OjxNUfJSKw9vjYR1GpWvWSV1QNPFBFoVXFqwFnCfLXPJDSXDXTVxzBaYWZaSiAUIrB4lm53P6pA0TX38hFuhfRSAfoss5Qk6B52jZJEaUYATdM+Wr2Zz58/48gZb/cH7ntGsaru2qtMLTXqChTkrFl7KWmJEDHLqhoue8KD976M/64sMXEfiMgQgzhbo+bzh/Ux7VhEWiC3XmMNcBmtD5yDjVoruAioqOCstSI3UIsmJGNj3nZdGll4tHb5eRQydX3MbiG+KjCrqeh9bHGeEus7R4vlOD8dRF4pfnH+rixOV5bUj3jnMxoW8ar452v7PGj5Ai9FcGWpjNfE30ele7QuRYtiHM9siYyKXZQ38T1md6HvAQU2CkZrrXjs7xaD3MsFMXGTjW6FbLF+Ths4A58ZWM3zoQaJ9HQd+7sDuhe61ajP7zC7dh+f3x6a4Z2W/PmuGF7Jl14SAg1MudFAAV83vPT4u4RaM/ai9fBKKVhdadwWLSezsGWPMpaUwBdxm/PxQwArjfPozTCbtYJ5cFe9vLzg9fW1NSBVAADVlqjHS/l3ejP9nwtIoGt5kWC7cO8mTj98w3y08Z59BhgwQCArgRUAVFday8rpr9jfL94ngrsQi+Qgwqm1GAgpk39fBd1Yu8av8/GlxoTNf55Ucxa1r0L9ywp4hWRgXM+0k4EJBSbswiWOb3inMHceJwagxULovqWmXc9HY+S1xwhF7fDqXWeX5swg431nq1UEh/FttH3Gtbu0Hhk5hU7rNq5oFWMBYK7PallfHsQ/A/KZbmf6BtCY6WnO0ZEioYMwEbQSGNm0edeEpVS1wtT+nK6Zu1XDLbMAeYFGKzS7F6s9Q8Dr6yse+47b7Q3p7Q25qIbMDBxFg8JrIYgseDweg4AXdiWAGtgkEEqurbJ94gVMCQQGRJUIJoZmuE5afZoEdZhTt7LMexOAtlZyuiL0AMt2I4W8XkfIQRNb5vC6JuTM4NLrgvl8xrpGOn9klv6wfi05pFuADnSQQVZ0thzBwoiRFzJzCxsA+j4lIktsGAWbg4QOInwvRBDaAcLMd+PzZ4ASXXDz8WwPA9CmuUgWOnC2nKtVKlmcoFqLF1esiC32SABivdcEQJ0XCaQVGG3u1wAIZx4RFcn4XZzLNoYL/t28AcsCJG778rHv2K3AaSVgNeuRz2ehgpJ9zgNoDW6wNq8BWJXS46h8DEQ9OP5Kubjin1d88upwGtO5BQZ52DJEx3vqwZpJKe4CJCvvQkH5pUaH/XmCo4ayCqJ9OW8vDritPqOBqoWpzetHxw8BrIYiaqxmeI0PCNqXmaBfX19xu61wq4kGo41BkCLS3FJazKyAKGkLEKKhXUUnKLvHRMy+MJEYnvnGI0OInzkjjgxqNgvH4O94rhOqt1/owlkZ7bKtSAD2XbV7zXCxAD5IlJXNneHaRnw+EWHZVnueafbrghh/QERNW4AJNSKNu/BxOYHO6wG4eb+G8Xm9rDMwEnGLCKnFDFAhni2WwYTMYinicy9BAK36fVwbp7c4/9G9chUTcWXViOvlf8c14+TWLQVGnPRzN6Hv+x60QrPEYGwE255h9OM0re8wArXG1Ceac5rwe3nA7uOhZm9Q6ULRvF1qmUi9ojQFxi9qjUqLtrBRt6eVKFhWHLUoeCFNEklg3N93lJwhwiilF+f1FlXNJbeohvj582d8fXvDfr+375bbTRvNmvX6fr+jlNKsDd6SpEjFEhSvBgBt7n2uouXqei/3bgMN4DKHuZRhjZoEqCMQSkgQCErJWNaeKDFYZipBCz6W/m7HrvdBdyPFNG+d37WNL/KQKKAjL4m0TMmAW+17xufj8Xhov9Bp/xIRIBUvLy/NzRRdq05fce/3/exWOwAgxG2mlmLnx30uRUY+GUFJmzvp6xD5DLHGyPicdLcaWieBrpxzU9bdqikibY/qXI6WwLjvFuMf87tE8BHXJu7Fj4DHFUBZlgXbbUWpGbfbDTVVlF2VDK9l5W1XIj+KczAkF0zArtbaSg/pdVoexGlfY27PSlu/h68po5azdXL+OY8dQOvD5++g/F7XbQSb3EBerRqjOcS6SY+prJIHAMlW3mhwvTNDqKpr+GXDunqYgLXlYij4TjS8/9XxQwArYBRYusAZxYrqeZT+tilypGQEOw0uElHT7qyeRSNWJHg9Kr9m+P3inl0TvE4l7e9PRlhjpqIg630FpgdJBz2syBoW4AfXLCm6FsbnFPsw1wKx3rOxbcyJUMMmYNb5Uybpad1nYFMnuhER93JcztvsVnGh9hEBOhA4HSKQYnWxiLQZZhWUI2ubFWdawdInYto3jVpTe78Wkk29Cro9Zwnls2fXQcEoXHwufu0xW9Ma8GLGwgmFLe4pmxZa+3lE1IL3SaqBZB6MIGqJQAPQrZUS68ToulHLltXSCfrT+kR3AVWjtTYIY7F54V6JPqUVIgXW5B4IRQjBizExARGwbl4rroAWagDb24r4c5xe1lWzfr/c79aFoSDBYsDsn1iTYqczryTurSr0Ged1iorNfIxrfK5WfwX+o0D3uQIcIPTzRAQlV+28eCXMSN3CkflHReB2u+H+GNvJlHLgRglqc1MwXS521BUfaG6puP4BbDjBzHMgtbRagg6sosJgZ4brfKx1WOtZsM68Kyp90hiPmIuy2Q/b565s6vWiQJ5L+7yfLy242elAlY1N+bD/M5oGj94K58kRUM/ANVqu5p9x7G517eANbW3inMTv1KpSBmtevF9cK1WWCICCLi9eG8tQSHBJdzqIdDMBcuMzPqb4bn5+lDUzDc1rf/m3FcGF8yRhiGSzIjK8FAxg3EDcuyGnezZ6qgQJmXzjeAuY1Vq8pRWvLzest60B1MRmoYMm83jm6EfHDwGs4mZSQrMGrVbA8X1/IOeMn3/+jLT2V26Mgs7MRBGrmy2tpQ08KFGpw8FFu5cJoKhVXAnF+Xhm6ZjPiWP0I6bVnpjYMCcVVUgb95YCIWk+4XifqF1HwOP3dEbi7yJh7kQ0QFxIkCgN79zYZD1nQcXN7+9bSsEhvY1NI2J0zS6XPsdtnp0JlV5HiQ0I5f1oGvpi1jcp3pZAdMdb2YUISjtzPlufaq29DRHO2tP8+dX6z4LJP6MqJzHn6+Gafq4FRXp6dTaLThtjGstXwESnMx8fQwPLF5pgHJMK+By0WTuX+jUunKLFD7AU9HU1JsatunqBgtqmoTMBWd19zIzb7QYmFciVu1XT58PHV0X7Id7WBZ9fX/HHP/2CWjPQspBGPlHowJEFaSFgV+vgSi+WcWkJH5xs/ydoMHmy0g/LsF7nbKEObmYecK2pm9UH1EtZmGXGSyKUUlDgLr1er6jWilvCwPMc3Lpl8tPnV7w/dnh9P+cJt7VXDFflQlqtrJmfxKPxoGCxihZ14nR5j2qKrp8X2yYpyBrpqM/RaOGNcziDqTif8xzHf9F619dtVNAxlH/Q83LOEHiQOg+V1+fnX83fLK+uFEiXCTHe1D/3cz3ofQbtUT7MFjv15ET3XW1C/v39vYNzE4tkCv1xHD0RKFjfvCr/WHImGgbGLElm9DIIOPNTB1YOwvTzmW+O117tozjXtcKSc8J9PD7WtEqR7pqPe1oE8NIQOpZuuPFzFVinZi3+9Omll6ZJdo4lammpjevYvXj8EMAKMEKENMbhWmhvMHlg2daBCNLCDVTNi+NEoczea/y4toyGvDvC9gXVuBKi8wKfxWT/btaAPwJgkYBmF2DU3IhYK4xXzYJAsV6GB1udoLGIXHyXWH8qzk801c/vG4Pk2z8kM6mq6yYKb73FyGTcuqgMoBcwbPcNjNc7hg+byxhGqprmr+UDAFibBrLeVRoQLR1UhTHCN1y188J3UWMftZbzerV4i8DU4lpeHY2BBlDVQF7tGujKVkOnLI0BxnRpFlgAe4bSpG10wOp35SbohFJLb+9YqGubHZQZsLK+eURasqP3aos0bEJhGiaRZmrWouBKUKx4az+RxfJqicCJsa7GnBYCZQLt2nOSqwXK56A8kLk7tuU0x0QEsFiGkDfaFeS8tLg0SoxVVo2vqsC6bG0f+NzP1tWzcHDgakKrFSokq4atgehMbMbmGmIeg0UKEjoPWM0t9FipLngLKtUWxD8mfwAipZWX8e+9knfhcjmW3snBaNCm0vtNNroIwsp/ji7n8zF/5/N5HBlXnT4IqfFa/yfioKrptnZvP68/6+rZI5/vbnznbfEdo8AH0Fx87pp1usghe7KBmIlPz+8AjKUYgBEsXlmf4v0jf75ShOJPn+u6RFer8jhmxr7fW0hIrRlkZRMoPLMD9hFYDbwNUQnv2X9qlVQ3q9e/m2kvlhm5Ah9XgHXeey6DvURLRYVUwBMqHGBptrcrzddFWt3961bNAViyugRfaAUztG+rt8ayuUlJM2ed96JaOMRfA7ASUgJjX1vLPHk8Hvj/fvkjRApeX1+HWJhlWQbB5UJf+wr2GihtE1QVUiIeTCzNr98n3bOpItAK73mxyfzgiXjHTdGtTypfR2sTiLDFEvnOKAjItapVoxYAel0lQEhC5evRuuTxAleadUoJRwiCRQB7i6X3MzPW5YYlbeZyhbknvWiizQNXq6mF5uN/f3/XWBgRVANWA8FLIPpgRQqTDCkVpWhTZW9g7AX5Ei1qirdARQquXsAtlL26uLuDWuui6taDrtG6rz7OVxO+8PWsIBqDPGO8W6cjj3fJA5iRUI7AmSkzW6r3C7YX1ZJelp5cMAACs1B5q5EGUlXyYz/uui/I6bDPr4Ntp88SAonX7RaESa+sDoSxBiWjuBuhkiUPSAfaRcEBc09FV5ciGq1WS4TIudN7NjDuQE7gDZdXrBbTwakiQVAOFRqVlpa9lvMBQgUnAh8MflgwsSkXXsjU48vi/Le5nIFyiFmaFaIZYA9KEXqa+1H2phw2IIUulAYrRN3VtR8AlytXbg1algX5KOpCsn107A9ILS3uI1oZ/Gh7IYzBOykwRsEmomBwbi7t9058bf3y/nQKvEPTe0+CoA4eroTrMzAR+zsOQFH68+b3B2LcroPXDobuD23SzXtX/JgZj31HqRVLiBH17MnebxG659xdeAIF3coZAXwEgT6e19fXdn6ttRUAdcXY3zcq0K+vrzjowG6vULzAE1Xjvfe232upyFlb3yi28DmO79nlQltnxFIka7ufjkcgGFuyjWsQ10/aM9qzw5p36rQ5aJmwq65drSgFKJ4FbuCpCA97UNcWQLUWY00bjCDckoOSyq+lFfskJGZQNEYkD2tYWvKcpZxo/1P8tQCrSQvxz1zTu91ueHl5OS2m4HxN1ASq1GbyjxqLieCuxjXB0VPRySwEoKCBhhYh8xHNwfMmEgOKVbROVK1AFku1T0mZLXe3DC4YBRG14pEaJ0VIno0ShEU3yV9bYCIkjBve//Z56htJ2wC4pqPf+WZKqJKR6OwyUSEy+7Jl6FdWppR2XxuIF67T5ahFTbCoAkEfG4N6TFHV2l9IkzUijHcQZNJjOK5AqI8hFmEl6u1B5jlsa2TXz65RNEDEQD1ruE1wpTMY1nEKWNycbc9oz1aLWLyP1KpVz8PYr4TQLBD6+3ZgRUGYekwee989om7rZatFRwTUit04ogiacMslt+KUM5bRuayAzbMrCLEmWjWQQ2nWQPs65HwogFq0dg3TgsSrCnxoVmAt1ZQFp/nJ4gw5reW8xvM6+RFdQDE4VhWr85zH+0RLqk04Ei8oLVnB6BcV3GpH9Ua+zSUY32ly6QLRynJ24ztNR+DZFY0y7IFZAWjhFtN8CMZ4oHhEYBrPiUDsip/5cXVPvaZngcV5bW7ZVmXbFI0lAclc2UQqsJmaoo649qKKnqC3WYqB6nMoSQNq4fOPlHH/5+vh19VakS0Qm1K/Vmud3YeAe1nC+1JFV4zj3OnPIfMPY423yCdhLWXmee+/f+yCnvns1dpKJStSOmfx8fB3/BwQeKZxnT0Y/jtVuGu4W8QrltRdnRpSgZZJrEUq7CnSrbwn5jUdPxSwin8DHSRs24aXl5fh3FqrNrgNn32kETnDF0Gri9UfSEECu5btRJlAZkprhQeB0zN8A1wy4YvNEzWuZ0wjjoUDqtYg3a6R++d+Xrx+JuRnhK7PGTX4GcAO5lRL9SVZQbW344gCwmOHngGrKhgYjTJmAFWwYAIAtUKLhI7nN6FgLlOaXX9tMsZ5HeJJnoEqkUEozUJ1BlTj315nTXWdVrgzvLfOgWUEHgd4WVGbgPdxMoS4tSdRa8fozo0aZSu4iHFuo6D0SYk0qN9FGu1MnUDhPnptSglUe70lqgAvPUtn33fLxAHYenXu+44sY42zEy0afbiFq9QDqFq7qrkhrHgnsTK/vn4jcI7rOwPoK55zJaDndY80Hue5fRYViTrShALRft+4fs9AL6HXldI1ntxgwd0702T//SwISwn0Fd7DhXKct/ivWvp93DPPeqjF+c0lD+sxH3E9Rr6FYU3ndXn2t95vnMsZWAnG0IW5WGx8F88o92O2WrrnQESahXIGivFdruREA8Vhbj0Q3q9XS6hb2cbK8I9jt7AZ39Mj/fcC1+P8ApPyAL6kgXBC++5ZOYw4xmegMa53nKsqMvYz1Tc83d8/c7DV/sEzAvv53WoqLb5VPS9Ji366DGVqylBXvPozxZqWf4DzAfwgwGolrZ+0ex+wx4H3928ANLX39fMnbC83FKsMzQtDEiHvuZntcu5lEzqB9okEAO/aTVzsO7RMqB4HIPZXasJY3YiCSkdjjpxGAMNAex7gDEGryKdDQEWQbhr4W2pGLhqUR5XAhZCqouPKhMoa+1KrgNaEVAm8Lri9vGC5baCkqfHlQjAwM3ChMTUCzRUoVii0gRfdTAXvauEjAKloLUo2E63V7xAi821bDTHT6Dwjy03aEVghMEUXBgRCrtXmTV0MiS0LjgllrxBhJFpRSHC46241c+26oSatXXIcB4gXfHr9hJp31FyQuIIX1bCzFKwg1FpQspZqILNkMJK5F23DeCq2munAc12zIAS9FYJUtagl5uaGpOLxI14Th7U4pgCqNSWwEMpRsZcDjARwRcas0SqYLHsGts02d3ePJPLATU1vPhycAq0Wk4Kb4I4Q9MrR5TCm42mDGvTNzMgOgEGtvUM2c3y1AGaAQaIuE86MxFr9fOMXpGXFLgcej4eWSaiq/eX9aKUcRCpoESycrPwD8H7sGh/1+hPqcaDwAioVn7YbSlrwoAeOIijHYfFbjDVpBtRRD2xiFewh1jmAtRZbElRTkiQJSitECLDwwEhTCgCVu3WgSGlxSprRC0jRz0steOzvzTq950cHedWuE4BaXSmgIoOtYOpCUOBZDg0eIHVBCApYgJeXDSIP5KMg5x0pJewQsDA253tOk2VvgK8XwDQXcdX4lJRS63zg/LKVpFmmHp+sbvYl3ZBCBuDgSswFtDI8nrBxU16QzTo/K35sFum4x1Q4QuvQpsXe2Y1E0RriP0dFEABKc6uKWqZanaKC++MdhwGC9/sde9nVMpV3vGyfsHhmKTMe5UDOOxbebH8rXWRzVQEA3UjbzCb1agjbPxFkyVaokzSODkUFPBMK96rhnnRDVh9QUJobE1WQLI5KagbtFVtKoAPKu0hdfvf7Hff7G94fXyHyO2xLApFmPZc9g5YITmaluxsGmGFuMgGR7fOT8qmxTcuyjWuCDmjcwxONwfGZUjVWU6ryXynOW95VQXHrkKgLTkjvqSJ2aXMntocrFmj2oPFc3sGMxpcTiRa9XoBl7cBvIy02jAoNTJduvWtjMIBfZGx/9uz4IYAVgNaGZTajuybgsT5+OCJui3iFiifE6d85oTs6Fi9xjo6EJQRl+4aes6TiEdF5/Amg9W9TBEMtaydqgmFg+jygNYL0cz3OghIjh6yGefzx8/mcZ1rfrOHPmmXUgKJfXESG3kmzFUCF/vWRUgrASn3dLMpQkQjHXrDnOwBGWhbUSvjTX/6EXCr2kjUfRrQGzU+fPuMlvSqIJgBU2poRtM2JCxqt9dVrnMyHa1MOHGw007zOdKWfiWWM1Hr0OQjXRs0K5Bl15i4ia6s0Wf6ICEvIrozvUQHL9hlecxJSFRVJg8wnOunWlbFY6zNNdGTG4fPw3DivnqHn3+3HY9QuI+AmOqVMJ+o1p9StT2AuoFhhmr3fHwOBdn2/RIEeXSp9frpLq2v3530SLR9x7mKfNlcqoutJ3bg9AaRbhmsPMA4avArv2lz/bS7MouKFEGut1srn+REtKHHN2nibJX/kDVcWhg72o0vMaU1QCGCzljSXCSw+JliehneTHjfonw3v73Ez4f2uBNv8vvrcOq5NOQb54mvnv89Wt4GHX1gq/XkzPcwB6zOt+zk9TnQcQ7Ss+Txe8WYy67AQwLK0tZ6f33helDPT2l6t9ZUcuDrG70c61o/OMcliLY+oxWiObk0dP6xHoM3rhWwZPpcYc6edNtgC1JcAGL2MQjt38mbMlrR5Xf5qgJVmf8mwEdxE+/rT5xZ4WjBuSmWk42YbCEk605iJo1sgugukmfpQzaXSz433mMEDVa1oHjeVH67xayPtcaMOpmf3EhA0XgjPz23CY5rHBnTCs2dwVEJ8T9xQzIxKXWs5A9IoMMkYpZc66MIqzhUzNwF9uXlt4yXW7Co2YCUiqgEuwLEfIEoQEL68fcV//t/+VzzuB973B0oVrOsNP//8M/7hb/4e6Z/+Az7fNrwsCwQaQA7L8PT+kG7R1FiQKCTOAi6u9VP6AU7X6Pch/klbGQ+yujNh7Ut5HA/U+gnlKC0rxemJiLBsvcjnlbLQ/zBGIzLQL0gtJozldE2W2ipy+zpeJWjE69xFccWIHEQ4DWxbz8zL1IVZG4/UwRKo7+DuZQ8k7eAftIonAAAgAElEQVQopQSuGi8RGyizc04wUlqxLFsDVuq6FFTqzHuMZRoVncX2c9wPs8CblUD9d6CGIHR2bbkBGC/kWlBDNiRzatldRSrYylmoQuZWuQXHUpAPtXzVmiG0nGhvpksXtlGJo1aCZhSes4Ll9/k1gnYGFkaOeiyjMBwVjHO9I//d68jF+8/P/Ig+FVBZhnkZQa9aFrvb7pkAncHRrOBc0dMVQDtdk81lF8BtO+9iTf0dnZ5hlmWPA6214jgKcra9FQLS07JAQsuvKyB6BZ6fyc/5Wn3BnqQQnyFCDVx9BEp8TY4yFXwdjB5OExVaxiTSRCjAnRjr6hZXYE3dA8BJY0T91bvn5ry+cT/MisFHxw8BrIbAvJy1EeJxoEB6ZeWJCRC5e2JcsFGjGoWTT2BP80dINx79wSLnjXwFmp6NBTAzOToBVqBlZPn1bo5X5CyWqq7B2ymlwWLl969VQBoxfkmo/sm8IZrgC8Bp3DjnLCnVsCM4s0yl0KjaNYwYqBs3adST4vpV+46JTvG1Qup+WW8LHvnAn/7yZ/yXf/kX/Kf//L8ok6wApQXbesPnT5/wyy+/YAPwj3/3e2y/+y2WlABUFMmaNDAzEjkzBiIagpZ1/OO7DwKBz0Kmb0iCgyp1CVNz08zrka0VxePxDkq9/k2cq6PkllF4eiZR61LfhESj65D6TQDZupFt/WKB73H/tD0TrCX+0wPm/XmXmVm5qDtb1BLGzK1xryxqgVrXFTln3O93LXKbMwqrW5ECMHHwKQbWNBBdMzTbOxlQJigA98/mkiOu3fq9I8AT9P1IRLhtW5tfDyVojP/olo8YQ6hrO4GqZBmRpBqzSEIuO0oRVJRhrWeFxMfO1mewWeCWQ/Mf3O00gaGoILR4oolvEdwaerHGFzQW986wZ6bvZnCkBocQUBzovgOaEXjEe2R5biW4On/+vtaKXApK7aDqBOzQ6X5eC/8uKgLPAN7M+67OjXzc7IWXY9nWdVg7CX1fe5NmW1fqvOlU3oZ6Tbz8pAZh/DmDqnlNbRRPwfUzugFSt1yJJyug/fSs0lIKcvXv7HqXM+hr18FxMBRwbvHGymNUeUjkcYEhxhUdUM2g9iNgdQWcr44fAljlWjSzjID3xx1f376hlILt9aUBKxF16zS3IDSFvgYAFDdEKaVZrJwJt3gqUUsCM2NbVkQzZK2lmcgj4CIi5PzegIlbV9TKRD0lNph1G4NKWkqiMDQAu2rQL4nGlpAJxsXEnr9jBRqD9nv68ZHmVsLGOjG6wLz9s4EJ1F4wzQvBMaUWY8FJ4zBAaRBOkYnHDMnb7YZE1xu6kFWMhs2bqMYvueDr+1fkqr2b/uX//lf8T//zf8L//n/+H3grFl+0rFj5Bjre8Yc//An/5d/+Ff/2X/8F//0//3f4H/+H/4h//qf/Buu6IB8KpF/W1Rind0LvpnQH4Tbzw7wmmEXAjE9qRdB/bH3fhDFsdgUAFnRBosK0HpCiAEnnWmsXCTQu5zgOCBV8/s1vQbVgLZq04UzU53nh3vjW11bBuYGnwVrAw1pDI8hAANiByTTeIt1dSkHAiq+f0buUAqra/Bqi3zNYlVYioAqO3Kt0+7vRogVDvf3E7bbi/f1di18SgUpGLgX1yKhv73jsGoy7bRukeraSgNmz4BYs6aZg32qHreuG2+0Ft9s5k3iBAlyk7sZxK7mI4HCXaGCobvFpJSGCGyne2xWyBuyWHtS8WEsuXQUVmnk/sFvx47dvD42rsflf17Wldh+lotQdQivWxCjbZvWKDlDuwG8OK/Dxxb+dNrzIZ5Yxsy/ymishewJwbfzWKDqUBughEIz8zLUM4BHKT7TPDYgddUx+iccMkuI9+mej9b+BD6rNMxJlhpc8ANAsxzGAPM6lH17/Kj4j7s0rIezCf+abALCmXnLFx1ltFJwYizXeVhCi9aqIBI/HA9/e31rhUTC3zFFwr5cX3d5+xHWfwVZKPqZzWQwdsBcnHufG572tmwbvQiC6x4v2ItSxi7a+KqXFcfb3MYOFREVGfyYKpSBW/bmZ/FqW0ULHgxIRLObBAONrEdfySgH/3vFDACsAAwGrGZPx8vJySZjdYvDMDeOxPdeZKmS2RY1BPWsWqgV42vB1o2CWdumlRhI/l6r1a4g0wNatUO1eMMsZhWBQBsTSaudnzPef51HC71dax/zZrPF2t6NZ/bQymmr7xQbNtuHlzHDmeBWemLSfV63HH4uo9i0IDZMzSsn4+viG/+cP/xf+9f/9r/jT1z+CPr/Ye1cUIXDNKIeADsEfHhWf1hv+9jc/4zefPuN3v/udTdSYpqsAYWYw165A1ehHS5DyfOrAXay+k+hnqkRqdilEg1Hj/NZqlZHDfLi7otba+jTSks7zlvo7Dy6Lq73O3cobqEbHatZaT48nstpfVemUW6slX24aSnUwy8D43TrBoGYVSkQQ7i6tWivqYddJBby2lzG6lBIqVCNfEbKK0MFMpylLA6fUgIUK8YQlbVjSpiUWJlpsgKASCvcejG6xaLM0/d60aROiz6wTcR/4Z7VWFOlK0nZzsKXMX5XAhJwzvt2/jsob82jZUvjagV0dn30lLF2Ax/dxxciTGuZjBlb+e4xXG0HMKJSIyArZ6ncZtQOt+VkX8+3HMwsT0OMAr4BVs+YAQ8kUu+uJpw/xdeFzPy92Z4iH03kEpdEytgQAEy1QLutmsOoxp7NlO76TFxFu1YJIk0Aejwfu97t6e0Rd5QDafiQ6A+VhHS5kpf5U+85VmycvnhsV9P69u9OjJahosU8DVaqsSKv3VkpBSZ1eCQSqKoerFPPSdFCliotZ5bauJKRErRab6pymGTf/ifJ1bWY/uvg/Oq7m7er4MYAVkwkMI0CzJKzr2lt14HoDAdeWHF9Q//6jjes/26Sarzg+zzedyPNgS26xR5OVqMoQeE9Ep2rV/XpCIbWactKaRwNTEVGNW/r9rxZ63jy/BnF77a6ZqQp3rd03sRdxrbWCQz0qd8FES8uVtnt5mDWplqKp9FWw7w/85dsXfH37ike+Y0sbRKM1UZNaJbVMO7A/dnz58gW//PILvrx9w88//wxHHN2S093IH71LE8AT7Sm4ksu1i1vSn+WN/WaQG+lKQq00T9jweaykwNMFWosXCuvvsQMzLbQ1nNwNDhQRacMAYgPZIeu13U+aHMdiCk8N2n77/cgNlKWUwNQtujXMUox1EdEg74SkFbGhGTzj+pAJh1FA6L4cLXiNwZL+m60vumbqCo2Ay4+m9Yf17PFQ58bAfS3O1wDq0qrVCn2u1kYluHSIV9zvd3y7fzULBbDYzfye2iLIWHYtkFK1SO8EPuKej3wrvk9b94A3Zn4x8wEHVm1vSOSRI0+8EtJZPAbvCf++4NHxvWdgFb+fP4+W22ixas+b6CfGsPp18fertlf+DL92Lrdwxe/ieyUiTVCwn3Qxjqtx1oKBZ+h6qBVy6HzhsiKsya/iw995fv9Qwcn5PqOHJV5bsq8jBTDeLXaqdM7197qRgVpGrpciocYvlyUq9l7UE4NMJquq3Dp64Aze/Tgr2b/eavVDACsvBHgcB76YG/Dl5XUgZp2wvulTMk2PghY7m64xatS9NYWjbCAfrjUoylVi7CZhnT+d8HUqRxw3/cI92DVusFIKlk1dAAo0KqRYnEYpeK9AennF7dViOrzrtj3DLRiR4TFpmf/IMOM8aQbdNSOKxUOjhqbjKM1N43Pv9/D5WM2l9rg/mua0US+zEBl5+xk2cSRgSaGHn6hmVY6KchwKsqRYS6N3vO/vyPVAogPb9gJKCSiiqcnsAjvhz1+/4Ov7m85hKa1mSTm8QWmvBD24Tlq7o67pMnOLbYjaptJW1yy7SVnLGBQDnp1+rP4Tk2aB0WQ9MZq53++4vf6E5dOKJa2QCizr0rInu9bJ6hZnRrVsR+Hu5nb6b3FN4hZBjXWJ4/MQhShk/MWjpt1oxtwJHrdGpO8BAOSAwGmHgpCtlp7OXRA4zThdoRZIth5uRzZmqTWxHo8dnz932lktBkVdikq7/39779YjSY6sB35G0j0iMrOq+8yc0Rxdd3EkAQv9/x+z2N0HCRBGfXpmurqqMjMi3EnaPhiNNNI9s1tAPdQB3BrRkRXh4RfSaPzsrnOtPJ5Sgs8RKTnkqOu7d8MEZkTWgqj9+W0MlV1PtvWJdf8SUbcGPAVUl0MBE7fbDQxxbXpqSkjgjIeHB6zxI67XK+5lk3TOtWr25VzkZIxFaXEV2Opc27Vm33X9A4CmuFj3UJcgA7sZmbCG3DbrWn2cUa23KDydcmffrC43Jb3HFtTfAyjoRjzIMXtPozzZA4Yqf9q1c1UIpmnCuq7w3uNyOVVFUPgudNez57TXtZ/bzdbekx1PGz+na0vfLa+p2xjovSCAhHpwFBngXMkWdgTtH/pyfcX9vuLjkyvuLwWIPVi192r3hfG57PFVbmWqikI/Ri17OZeq8JKbovMr++6y3Mt9yXnWdUXKa1Xuq/IHgJPwnAODigs/lGSW03muipMLRaZXZVqV+qKgMAqaMhX1AagFTMfIWi9jlM4RigMUSLrfyMb9LoCVPqBqdbrRuMEVkgeXiuxuco49DWkPTY+LwDuJJZJ/m9gB2oISW924swxg79rlWiqDDIDQ7zwIOTakrhrk3mLu3FYkJlIMz1a/HxaNFQZ7GsuewBN3QQEULOZX+Y2OKwNa88ltYwXei0vQ+xBmRg1wJVYDraTZyyVKRhOULyQgOKeIdWVQvgMrgSIhpaL5ZZYYnZjgHdWA5nIXuzyhQ7AR4ubzcX73QC0gcUfSZa5sEtR+t51LKu64tdtYmnWwCGjrWrXuCi3Uqviw8IUzx4qygBJb2LRs51q6/ca9s3GftGcUYLkfa+MBcfHaDciAWKcxWOp61THMXPpAKoiT7B1iWXeqiXcVogcwaP+t99VpwjFVwNsB/NwHsgMSu6XPYEsoWB6w61znrI0jOsAlmalcY0nWJQmwKnFY0yzxYOfzWVxopTVUjLFY7UWxExeyh/MlrocdwK7WBCJQTTrQ1h664dqyKGrFIfM81r25B8pG4CDbX8/be5u28tOY1k5UauLtuPvqOaq86b0QtUm2+a/bEMw9M/TeRH6HEIDaFFpGw97TCND2nn3PRbmnzHaWM42/NPw5jrvl2/pvfRkeE+WwgDIFD14UpZxMyQbXnF/jM4yf2Xkfx2M7pk2xbOeSuln1ucAVVMlxWlDUVQBmS5TUsB9NyFAg6MTKCQd4H+AL+HGeSsypkUmMrki07rOMxhqdWHujSnvDAdu9chyPPfougFUmWShq4SGSdi22r5eiWKBNFMHtnq993zL8yhcAUC0o6ou1i7Fq+MZyMWoXdrBdiVfZaDDctEEUV6Azk6ibqgbU6QaUS6kFrTxrN1PnpMp63fTeAI0957QxGe+9Xrd+Zzd83eCjBNS6cjmScR/BJTN3GZ22uOCeRgeIb5tA4AwJVk2AywU0rgxeE+KSgNQ0dk9SmiPGFestgtjD5wCKYi3wl7M054ZYn3IeYyd+30KpmiNccXH1w+0cgVhmysa9KziumwUyOPf9+ex82pfymLWCVIDlfU0C2Mx58LWXoAZlE0kAvSNXWikVzZRE29Tv2LV7Uh58CzjKc5eSBxyqtUJd01Se3wGmCbCuOYajjFDS7u3GUTeaVFxzaFY8csKDy3LH/X7rSlFYsMbcu3V0nLrMP2ZwFPeZAn+d5zX14EkDdtWqZtePPZ9ayHS8ZONobmfnJFYxFHel3tOyLCAulqfAAMk9z+czXAl4f319lb6AKgscw5eECSISMJ23VkWdpz1QUP8uVrDO/btz3HtKmPC3AgvzWflHqvK6ABfrkjEKZC3tbKype/Jq5Esrj8d3OyciEqVjgY6N8EvLtFRLvKU9IDKGjoz3MgLDsR7cKG96MN/HY0kcVXsmPW91x4r0qfGiRNSVKkqc4TG1cYQWyi57YhFqRALOyw3295slRrQbE3awYFSeVWSufpZzRkRbEzkXHs26jxPWmLEsEesqe63u9yQ6KZgBhsakAYAEpqMErIuF1VhTBx7WxJoql8v9aByoiaip4z/SyP/W0PMefRfASidHao2kKqzGB63auyJR8/0YCCiBnhoAq/2zCpM63Shl1PsFWxgmpW6BKHXCpzCn/b2CKnt8/TcL8nYstZvggbnU2iGSyU45V2Clm6QykQKrbDhib/G7dyZ9PL4TBH5sT9GsaCiuNhECTRDoOS2wGmMMrHCwwq+46GUBlcrcEkzoQKU/oANhniZcTmc8X5/x+vlrMeFn3G8rvD8h5wAfJeX+6eERP3x4qu7lXApJhrkBK3vPVSgybeZaj3POySO7/nPmVh7DUgVUUDdiREYCc6oxPTqX3k/FOuIRWZoY25Ic3YYO2RpGvpS1sN8fsgk9oOr3hkFLD2vhqSLz7CYxjkV9GWOkNiolQPgz5xKPVcaUm0VLg7V1DEII9e58DsC6YFlXOKyYSgakIyruwDtOp1N1k/TWu8aTW4WsjUXOGchAds0NqXF9ObcWPeIC6EGL8oLdDNVtrvygLi/5XnlMlId5njFNE+73K2JUa7VYEdfrK5xzeHBnhBBwuVxAJO7cl+LajnGVHpA5S+081izVvraWPvt7mwAVN6QGr4+gpJM5FlSNAMcAqzp+QxaeZaO67tQCxT2fcQkoVhqfwcorC7bs+QHA1XZnqcS3NktnSgnSDlB4ZZ5nzKW8hh3L+szoA+XtfdjfWHmyB6w2c5G1CbbbnFdBlbUoWkUEADhLlGB1wwK4xxZnZX9D3tekrfdoHFNxPSsYdwXsjEHsvezZjot0vchJcVuuCovep65bUcwiWHtilj3WBxvmY6vD2z2lyXiJYR4AYWax3g7ZiqMS8dZ39v236LsAVqkM8uv1CgB4eHjA+XzexBe5AVhZIDSSCGTVXIuQ1R5ruTF9runveu4CTvREpqt5oFZc0YGMUDGvlMGm07xzDq5Yoai09PDOgb2Hcx6cC6AMAYkZMSck12qnWEHnnJSZqILbuG+soBkzKTtGN1mOoyBIuVmeGFQsAQIIco7IWVOTvVjbirskhFCDfadpMpoH9WOJnnmdk+wsjgm8RGCJoMRwCbh4iXn4xw8/4r/8x3/GNE347//zf+B//OX/A8cFiBkn9mIFTBFnd8Z/+8//Ff/Xf/ov+Of/9H/ghw8/YA5OxjMlkLYt2HHbaraVfm0BhDb2ZBjTdDlQwbnLubS3MUDNqek+FotDAerFnc3a1sY5eB8A5xFvqdahYRKT9giiMoAwama+Wazs6x4THG+1MDkfg9RqYQLCLRAbNz7he63Olsw8OrHQEZql1hECETIB2QjAlZPEhUVxhZ3PZ/m9c4h5hbsHLOuK19sVIXicTjNOpxnr64qXl684nU4SH4UMH5zExKWyur3HNHv4QLWLvc53zrmUKGhxcnv7jLoNrFRRl4U+q8TkXGrWsoK+GCM4t1T5eT6JVh1KlS3v4RwwT6cSY9kyoZb1hpQSnp+/VAuK87KhPD4+IMaEdU1IrH3gpIL0epd/27gv62oa15x+VhNM0G8qCubCDqDRsdB/MzdLLGdUK0l3TUdAaQm2p/CptVPprXnZe463ShkAtY0sgGlzPuYk5W6MQni5XGpcnfKKXoeIanmKUTkEioLNLfas2BShVhi7X+kY6nltks+yLDWebp5nJN7WIQvzhBxbQoS1EsUY8fz8jK9fv+L55QXrknCauK6/cZz1d3pPb41lirrn7lmyW8b1qIhI6Y1i4U1iVdaf5SyA7HS6lAB0V6zTGen6AkLx2hd5HLyrir/lcVh+4GZ1ZKJSLkiUdnItIU2NBk5L1OwAq3Gc7L9H6/AefRfASs2Xy7JIQFoRnpbeSoK0lgf9t763gXojK5CMFasyjqLzVH9rr1N+1rn/eg2u1y4q6AFEQ1FGEd8MgP4csgmjaYYbjZs3JQ7sc9f7MGDLPjPvAKt2/bYwKNtj1G0jGoQ0w/V1vKyGZ1uIVCviG/OTKYGYamA25wyXijYOj8AZ5/mEf/PHf4SbHfxpxpfnv+J6W+CwllisCQzCx4cP+K///J/xH/7pP+Dp6QnICTlLrBb81gRvx0qsLeV5d6xPm7E2Y143s9wSDlBmEmAJWGexXqD0hOs1XB2TVpizi+WhtrGrpppYXHp2PO1ir/dcqneTfXYufFdTqHtlZbOZZt6MAbO4YwnorJGWLzvt2oDVaNw3IiTLd4GQVhGwCs4nBuYk1gR/19pRKzRWRteXtn6ZSviA1fr35rE+JwCM8WDltZbntkVvla8fHh6qVf3Lly/SC7FcLyc9bsL5fK7HeRAyC/hJxSpPYUL0Aq7AYu26XpcKAF1R0HyRhbVQqXmmMRbPKkv6nNYtX8fgN8ZmdPXXa+wpk9xbpep5q4ws/waq5dKeN6O1vxnXqBpL3gQ1vwms0JUlAICcqSpJ0zTVlz73OKZAs5yN8VGWz8bnsqUn1NVu1/bId3JMn41oxx4QY4Dn0GXO6XkUnN3vdwkGN8HwYkXez1Qcr/UW2fuQf+9byfvzKj9RAVntXMqX4s4DUmlfRCYxRg0KflJA5WvVACKq++3u/cLX2pXjMY7ISPr9OOTxN2+N2R59F8CqtYNoGRma9Vc3ZPRIuT78ToA69NjRx18mTKxNuax0ZTSxxIwb1Mj8gP5sx7xucJklm6beHU8EHyTjy8Z8KLOIlWQATNDA8rcnegR89jMblzYKR0cTyMR82YdpgqWMVylsmjO6AETriqlxNMO96LNTiZmqYLT41YkZk/fIlHEOF8wPF5w/PmG6nPH89V/w5fkVLy/XYlWb4bPHv/nxz/h3//Rv8cc//IgJAffrzfBSv2js89eN3QRK2fl3zY8LIjPOTj4D5fqiehxXHiniv57b8nEdkloLZqhNZfjAxmEoH+jiF/eW3UlU0NcHLVf3HX/K/G0rTXdz5Mw13iArhPZAfT2XEZSyGXENuld3gwCkSTR2clhzyaDz68DXTdOeTNsaPzRH92bT64CwWntpW3uOmbHcl65wqPJSCAGPj48AJL398+fPJYv5LNY3mmt24jSdIMY8kTUa52bn0nuROZMT9+ayTEilp12d4zKFRFr/KJoN0/DEMAf63GMcHxHVWnrI7wfjjt/ZVdxfD5KZpgqZMHr7TvmB2hpQvtFYL+yce4wVs3P3HrhyaM+/Z7FSgGdjrEZQacfRWkr0/vZibsdn6Op68VZxshZAInHp1zEdzp04AynBmzZG7XvZ39S9ZovZ2vG0ZJ/RruHdvc2MtQUf4/ftb+rfSePagNKLHJrRL+PSlJjZ9tItCWzBh1riZ5ThbZ5Epuje1fiTsPNIb8o9+3zjGNlj3qPvAlidXcCXz7/g/vUFDx8exWTMDuRFO4c+FJeeWygVu4nApjw+0Cb45KYSLJcxla7eKS1IMQHhoV5bJqqVBshaLyNz8eHaOC4dzG1F4xi3LUd0QlIJlpWUWNU8i1ArUjOxmGxTdkgk5skVkvWQQkB2HpEhNbHAUoeJqd5Xars0APWvt35IYq6FaM1wA+MQAAbnWE3XiRmcHchN8OG0Sd3XAF12DH5dwfcVrmj5mr1VN6wiPLvsycyY04ScErAk5Fg0KogFAjkhx4jJEZybMLuA09M/If+f/02sm/eIvEqWyMPpAz48fsSf/uEPyBlYOSPMp+IqdSWIsfVG07lp4wWM9ib9PvPoYisWO9bYKgLIS9mHEh+nLjEACOSQqBRXzaXeVZl3YgZyBiFh8gCnG+LKuN+uuJxPUpWfAXIeHAnsCG4KmNwEEh9diYFAJ2wVdOs91+Bgp6nEJU6II4gd0pqR49pS/8PUWapEeSmavMYvZBFirmxcHr7FXhCgBV8ztJl4iRWMERdyiL50py8gMMeME03ImeEZmMOEyBmTJ5xn4btpmrCkiOfrKy4fPiKCQY6wcMI5THCnqaw9loianAHv4XVNlvGrGyeJ5qpFeblo/MJfWpQUeLg8tTIkkygMX79+xa+//oplWfD4+IinpyecThPCdEJcSjHR+wpPQTRnEmXOOSA4AU8r35HyioQEx3fMnkEPE2Kkch8C7EKYEOYZrsQJBUeYQsbqHDKtgtjcDC0+zEWzJwpFfjWrvT67DyKzXKniHaMEwHh2WJaEVF2pTQGRxAcTpIwiJ0o8i5QmkZgmqxCCMubySf1U+bOuwkHx0s0VLT4PmkADtY5PYLfd7JgZzp/bmRXIQp9phiuxl7PzyNOMyxRw8QFfbs/SLcJ7WbNTwPV6RWKHKQRMoTU75iSWtlzWgd5zSqnGSoKks0jMpp6fF36OnSeF2phwXy0+l7WksVSJNLtVjmKSdRkmKcHxfL3h5eVaQxwoF+tNdcUxnFMl2exZ1EoLyDrSVnBTBYUCRqciX8oel1sIgZ4nZ2CeLg1IUpGbJJnA1xL2w8zIJXGEHDCRw3R+2IBcHRut40YgUVZY9UYCKAp/lDFNucnDmHv+Uk6U8aOuNmUZ9fbMyu9FCXGU4cLbygjwnQArW3zSxuhk47utGxtQ0Pn7qHGvVgjQm1mVeZjb8ZqFEKi5SloGSAuea79H+7uCmLdNiO1YOV6FTbVQEZcMPLFWjZYne/6thlqey1H3m42FBMbiZ87h3U5sFjPYmGb1/CiVxXOWroE1jZ06kVotMB5iVBlLU1DuRSqRqy6mEGYpgO89GA7TdMK//3f/UXgiCyCk7OFcQHCT1A0iSKsZ1meQPnN1M9gZyz3NV/921Hev797HzcA+ewU5qp7119wjBeiqbVYhm/NmbnrNETVu8E3L06BV63tO+wU7kUfeMlo395bUvWeqPEeN33VjT8zNPVl/5+Bc735Ty8/pdMHlspp1yCBOyKXFjTOWB2t9emvd6ee1Bk9Z/9gJUgeA8/mM0+kEQGTV3//+dzw/P+P19RV/+tOf8PHjR4TgalkILYK4Mj/CcvUAACAASURBVGFJazm39j0lUGg93vo58ghBNXIHolLHKplaadQKUsrzNmu/99p30LUODnDImeoaVjnrQF22Viz10DyFKoO1t1qZ0bK2pTaXBQCjlX/kbrUg7PHnb1lHnOHbyktvzKflQ2tZck6tzyLvZbPu2wDZeK1OkUIvK9eURPJlO0/ofmf51N7rKJNjau1z7Od7a2nMgJRs9HJhata3zHJvtlioeg88+e4c8reUSKjP4qw1SgsMu+qNANTyqcq4vHdAq+w1OkaWl1JajSVTO2yIUnuZJQTIU99/9C3L0lu0d9xojfsti9P755c+tO/RdwGsVEtk5k1xyo3ZD00WW7PgeJyNMbABq+WI7XnrQlIncLtGqzNVYhyIu6BPoAds4+Kom5j67o2Gw8mk79baWe3cdoGOQMg+axmZetx7DDSaOfU4tSqpGb+NeTNpy6amz9SE60aIiIGxLaBy/nqU4X1Gqq0cxIIg5uLgPeAYmQiOgGlyeAyPpWlzkJNkQk4OSACx9G+0234TSnl3XHY3X/uObdyFHZfNuNZnKsdRnZZdsloZEWFdU1c9uYJ/6oWymtjltQ8a63ztgKo9PlJ+Syl1ld0t2KhAj3qXxXYM2zU0NigxiyVlcIfIuZubWbTgDD95XE4S3P7hxnh5eRHgMikvJrQEAF9DCAAB8WHYhDVIXnm38oKucZOqztzOd7lcwCzXf70+49OnT3XD+uGHH/D4+AjmJLEtsRe4lf8y4/X1tQIr7wl+bokp2kxWNHIHTSBwTgrHqvVMx0pi0eQeNT61a+2TW82jlGIdg7pxOi3iqxYYkXEOAtIqCKy8UzZv18tLFNnT8RMDNmdCQOQYn7OVQfbz+jcM/w5FGasXYGcj7crYsAVWGnYhx6l7d5pOHTCv/VZN0lANV6nPBGjMpJ3rTgEY7q0bu3eaGdsxsefqXjUsQAPhZ8QsQP52u+F+v1e5nbSbBW3dYlvX6iAzmOqYbeRjBZVN0HEB8imr58JXUHW73YAKplpcLrmW+NT2l34s/nfAlb3HvWfs9miiKqOFH5v7VmTw3jn3Sz0pfRfASjV0wFYGbj2VusksLi2Uo+wx48ZigZUKGRVMQBHMA0CyO/4IkGwA42h5sW6y7QbXahQBKDV+ABRU7wDklJCICxgpx/o9JtpaTzpAWJ5BNQh77B4I1U1G/3ZOyjl4LhoREbTAYLMWKKMSHAvoiFkLiQrQcipkRPIIODLXFMFUShHkXM39BKntpRVv2TmASYK1ycG7UxOUXFx9RQPlWIQMa8ZmQmblg7fRTSfIdwShPc6Oa38s1f8L0E3dsf0F+/Em31Lb432pioZWjh/vc3vf72K3DXWKhBHYnULC+1X6m3IjDNwBx7L5Ou+r21wbp0tQKiNnEdSShZjhIc/PTgzuk82AZcBNE8I84cMduN/vUtdpsEBbUNXFGw2WBDtmzOL+0jW7riuS1v9JCT7MOJ1OeHh4QEoJnz9/xq+ff8HLywumacLDwwMeHh7gnMOy3AR0eI+UUQschhBAvnSWYGBZbgCAJS2QtaO9DLm6W8RdWEIFQHAulWw7Rs5rBUIa8zVNCa+vklUYQihyJICnZuGom4q1RhBVi5eOtY5Va5zdLDlWAdhYnwwotyy+jW1q3ocRWG0AVduxu3veW6O7n6GdW+WFyBhVYtreoZZRBVZWtnpfXOdG/qkSSJIVU12NQF/fyt7bqNCN342fWz621tO6/5Q5zZSqK07Ps65ryVJtYN2udeWtJgP0fFpepx0jrxIPOSp3pp6V3pu8q5Ks+16s1tz79aU8U8tM9aG1n+rOb/7eUxpHGuOv9oDVSERUsiu381P/trEdv5O+C2ClzCN1XiTbzDmPyYAq0NYFoWDMgiYl1Shb5kEzn2dtX1LKCzjfghNTEoZOS+t6rkIs5xZkXCNyctPKiQB4VA21LaZilarNHiWgXSqNl7IGEqkg9VccSuNVVzNWhC/6YEkmcdNptpl+196p03acGxICjAYHALOfS5mKAg5cAVrMDQwYAayp6bdlwZok1TqzFMSsRR5BqK0vgM4alu8r4rqCYwJlaQgLlqiKEGakDGRIBiVDQLWrFkQ5nyctoUGiZbIKjDJDZcO2LoVx8Y3tKzrgMfjme1dTbx0tP5YxRq5xAHpMyjJXt6UFRsdsC1jKZ9frFc9fXzBPJ8zzuQP0DQCJ9UDB21ua3FtAsWYKuT4oV4/RjUkFfLfplY1YrRN2QFSRqWCdjZtdx4ZLPTcXJEbGEdgBr9crOBNO0xnMhOfbFUQMPwX88Y9/rHOVc641rQDgcjpjDlMdGwEkXuKrTG87ud82x8tSQEuxDp6nGU8//CAxNtMJzBIL8v/8v/831nXF4+Mj/vznP5vNN+N6felkj/MTQIzgJ8zzhLRGrKULQCiZTafwASE4uMnVOfck8TGcxbLAjuEogRDx+Oiw1KDkpS5CH4DHhws4J3z+9Qtu15cCMCfEtLS6QM5JHE42GYJobX0A0wsvNwu/vstvSpuuFEVhseDBrA2VdbKx9nFUo2K3ByY265NNcWTTgLzOtfm3BSje25Zccl+aSSsJBZIEoLL9dDpJ43NqfS+14nnsLFAeMCBA1/EIeCyQsfGmavXS8bJrzHpWtFbbaAXT3+kaZq0bxqJ4xHXF6+srnp+fxdKJtt61nZTl15y5GBoUQI0yksxnBuSwq+txm3Qj17wvL9UCnlICaSJKyfwFikuTk7goqADfAeTYex4LrlrqweM+SLK8VeU9CrbYeAXM3wzAtcLGv0XfBbDSzBs1y+qNq6YL015mF1FiC67sQrODLedTV4AEZVq3hWWQ5k700HR4PXclR5vqxUSyUTDQmTUbw0hfMkIuGlRo+oFhisy56949akFqIRg3vj37RXdvm3gc22ZFwviysYwpYxE1rS2QqwUgu0BLaoJWrAZUf980AOMiKfEjUviyxfAEN5UMLwGikmzkMbsTMqRRpwjv0k4HGbG6YbZd46uHdwBVo6Ztn1m1XHv8e5qU1dLG43I9514NlAwbzyL9Ee9dRtp474CY3Fv7hy1gHP/eEwh7GrVuhvb5OsE+PB9Q4ufMOVRr1d+248VSVZ8BEOWEIckYWQD7PM84g7GmCI4MUMI8BzxcTrjeFnCpxu9964moWbk2Cy74ufZL05fMYwazuCp8UcDO04zz+Yx5nnFfE15fX/Hrr79inmc8PT3h8fER5/O51BqLYKbiMvPdhikAZEFKAbL3E/wstd6IuPQI7LPb1nsE4DDPU9n4M+53CfB1FBCCWL6WtfGFbMAej48XvLy8SCIIJJ5FYgul3hzrWhFPqLhdSd2mLcbIOQdOMDK4BfCmVOzuCUhdbzWjoFmFc4f2gJXy96g8KHUNtH0PvLz3NSlipBHgMJMp3aCyuikVCrCkRhokRKPwElKz/NTsU6O0gqXYr1PQWkBSTqm1o6myEtWyP5vn7vcb6joTbMBAKqVH2IQ4wFUeFIvVgttyL643WSO0tsxaOxd7e8u4j+rfKgcIVn72HQ7Uqny9vzTgTg4+BMynqc13rcPVFHwigiuwxLqYqfyHKkeaIqufObeVS0o2lGMj83Isp9iCLkti2Pp91rPvAlit8S4ZSq7XLsW40RCw1TgtWdClA+ZDc6FYsOScQ5haEB+ZY4C+wq7dVBSA1N8NQiLHfiHUexrAT2PqVMETO3FhlVDJIvQFrogg3AoOolZqgqiZ43XTeG9j3Ruvzb2zk1iYwkg+hH7jHDZyQEHVdmyslQsmWJ1zkntlDMHSYqEiT+LWS0nGxjs4lsbISGU6XIN1tfM5WqCrLuLUY6eOxoXSASvqx17GZ3scMCxY7sdZwIrA1Xqcd8VyUzRd32vBzbqoViPfnQ8dkOnTpWn4rr//fkPc0+IwAM4uzmNwg6cuqg21QGjV0teW3q7QrF1Sk0bU6uvgnMfsxDLwepOeeWte4UClcvkd2VTN7rs07LcMwsCr8szFWjGVWlmFd3MCXq/P+PL1C55fvuDHH3/Ew4NkEkuWXqibrFp9lNfWFBHXFSkxXHaYpwnzacLkA87nWeJflhfECFBsDdsdedl4LvI8MbYCleqam+aAlFu1akCadCsoWNJaQYNs1BGiffmy6Rj3klfrSgNWAlRQgaJtSt0ULHn9ns1l75iNcmBkkLVGVfDkWvX3MXhdgdUe+BDQNLi8a1ydUbzgQSTu0CnMCH4q4QMSxuC9h6/W3VYKCABcbAq98oIFH2+NgZK1dOtvrEVkBJl6Pkk4SODiVQihJCNkWUu2LuSyRBAtcC5gyQtyzpvOBDbcQD97C2DVZzMKnyQ/RKQk177dbjWGSveveZ5q5wEAiHGpTci7fYlyDT35LV4aabP3DkrvW8/GSffd7TU34/9+zHql7wJYvby8VG2htpmAWHRqFouiXGsdMd/ZBTT+e4+BlfTY8XPLcMpQTD0T2MnyUwCnXM3CllkddGGXsgtg1ATP3DZdce2hWqLC0G+v3qMDlBGqUDf30jb7fmEq46SUqulfFnIrlFeDpp00dk0Qrb4ahkmSvp1rGpvGA+l4jsTM4JSqCZ2Za/NpZK1jk5HXVEFLhoDLDLXMlZYMxXzFuXBCASZafFHHgIgkvV6Fk6ddXrHjNS5E2/LD8garRkoWcHBNsw4hwLGJHXQAiCUDr1xf3IBNg1xzqptbirnEE8n33nuk4rZq8UeMlJME7Tv5u96zcTtYPreCsAqh1GvKo1tCx8LyVsoZTNIE1TmHaQDsCu51k7DWA7VC14whCoiQ0g9pXWv8Xibg8fEC5xy+MgOvEseksY06d8GcW10Weh/etT5+ILEuwbXuCWGS6v6TD7hcHsExtcrVty8gInz48KH2kZMNotU88t7jfJa0/uv1WlPIZePKuC9XxPUudbnCVMdRu0pooHwIASllTJNDirm0tJFaWVI0OUGKYDXrnGZ9OZZA7aenJzzjGct9QYy5bmBWMdC58AVUSd3Afu70/DJnrVGukvfSs9KCe2txCtnXIrD2ugHNxajXckTye1Cr2I/2sutN53CzMe4AK3lOX3ikWUtdcSFIGyGZp1zGSeXf/X5H4iwJC8XQ7VIqjn0NEhcwvSxF7pUaTVxiB+UePCQcgZCS9bgIoNf1oWtklD+jzLExVgocvacqgwDABQd4D4LDy/WKr1+/IsaI0+mEZVkw09ztkcoPt9ttN5bTAhUL8kR+3aXxd84GWLVY5hAcwunSyaQaVsBZSskMSp7cg69hOHqtDmibuM89sDUqsxakvvXdeC6VV/ob2zHAWubeo+8CWOmgb9DrLkrtQdEeqiaiLqDQonMigq1Z1DZV2cjJpKSO4EnvJgPVX29JNaqNJWDcoKr5tmj2RNWioto7Y7vIxmwTNZUyS0wGytn3NErd7Lr7rQzWGEv7j7WD9oP+2JhOK9PDpACXfxNDYrQAsUrZ+kvFeqXFEBQgevLVm0mKNNvl6p8yTgkp9zEfFWzCISNDa5/od+O7Ba7285xzLdg3jhuAYT5KDJEWoy3AkE21deVpIgJ5yP2Nm5ApY6Ga5xhXIOO9r9GNisSocSk1sLNvubKAaPtbAtN+mnm9F9PwzZ5/Tdv2F5klNi74WSx62YmL3QesYcJpOoHcFbQ2vpbtY7vRCg8FeRlhLkzuqgAXa4e6HgjLsuL6/ILPnz/j+fkZ06XJFhscrzXvNPPqdrtVJUOLrbqSjJARwUkKicZlxTzP0monlxp7tG0kfbvdsK4rplk2b+1CkSBtpdZVyjAoTyjYnpyHdxKMXvmgJJHUOXD6Mkk4BpiKomMVyjZ/9m9v24w51zLnmJGyw8Strl6d+7StZt6dg/YtVp2Md+8Dq5F/5blcB64sdYoUimXMO1BiuRYgViGzthK3ptyRZc4Uu+qmO65B/bd937tnuy72lBodjwCPWseKNac6g+AQDGhel4T7skgsoneIxfU9jqtzWzlk78kmMCifKEjWbP7KJ8645n2z5Lbr7Xs7mBm6CdprjbR3n23MtlbCvb9HBdo5Uzbb9F1s+3f7/Rjv9hZ9N8BKhV0ThGVj6/pB9RsG835VXguC9hacHdi8mYwMzeLb+22ddKKaHfIejZqInseVhatamgCqJNcmYRKphN4sJrJwpQBfSsmUORD7nh4bqLfCtHvc3sso6OpvrJb3Briqw2XGxqFnTE65xOTI/9hxsTpliWMowEkEdAnmJ4n1kHspwKz0FcxOAZWAKtREhIisabKlkKJkovkOMOsz279VC7JCrb6GBqm/Nc8qeChwLZRYgZ7YxeG89J10zomF1m83Oo2VUKuGx9iWpGXkMDdXnGqMnbAbhLX93D6SFfiOtsKv/hbo1tcefyuANCEUZsNpcSUpLQK0oTFDJ2mTSuLmmH1AnuZi1bmDWKycNFlQ0m/I9jOgKG5hMsdIbFHdMJjw17/+Fb/89W94fbmBmfHHx4+dXJI5aQ2WdX5yTqbuE0kV+BIXhCljvS8VLK3xDuccTuezyDc0Cx5leY9JwPR9QY2vnKYJDq4lMiyEFDOiS1hjy56evMfqxHoifGCUQ7etwG7/XTdM4yoacbWObQh+M+a1fENZj0HXjMoCt1/byfLinqLcgXsDrPT+2fzOnlPd53JNB6gyzboWGlgEShui8lzWWivnaOeNMRYvQ3OVWxmtv7GfW0BlZcFv7U174+Scg9NaUi4gpbW6AB0kBIaIOuB/ni/A7ICckdK2ubYzNfL2AM/YzcACC3FTl+roxes0n0odSuTNs2ocpFzHJEDkppTaOR/H5Ldk8N67fa69/a4PpG0CqynD8pV1ef6rAFZWGGqGQmKtAtu7wggw/94X/COg2DKL2ZCGDVcnfDShyx96rGRPMFFXXkEr21LRprlYdeqmu4tPBDyMlb/tmIjQi5Cg91zTmCW6SC0kRiAFU88GdqHvM1/9nrUidwGwOxur7TyPvN1Q7aJwsoIgtWsJoAIHMtffUnFXuqxWBQAkmS65ZG1KqwwHdqhxHyjVhlF68nUAlpJUjScPVxp72t6TvwWGLVnANI6XzTgD1GrRasWMmiB5D1CGgwcVAa7NYEX4GMCf1VXA0FZPG2CkcQEDY72nEW/ft4JLXO6/rTBY0Lg3HnpcTn36eVV+uNkr1argUDZpcli5ZVud5xM4Zbya53HOda1I6riYjZqZEMIEHwJ8CGDX3FtB12bO+Ol//Yxf/vo3OOfw8ePHDnTEuFQtvRXj9MU1ONfYESIJCagJK1k4PyZpuKyuQirNZJlko17uq/AEEeazuB1jjLine3WrZGryKoQZ0yT3saxLz/swmXnFrgfSWKKtdaTNRXFrp6ZsaB2rkW9G4AqIZQfDPFgiozSPx4wWq/47I5/N53V+B7DVNtA+rtXefwP4fTiF7S4h/RsdErjsRU1xWVJThsk1D8GoRCvAGcHT+LLf6f3tgUx91+Qj5TPKTTHRZ4ox4rrcJT4xRdBK0HpUzKqkqfVKsxH3ACqwLKm7Nztn8zx3CogoA66evwPCZQ+wvApwqT0oqvI4fr8XVL31vZU7luz4R06d/V8Vdv09cfNOLEvfKugt+i6AFaCLtflzvfPIWeNKYBi7LQSivj6HahuApnE2lw1gGNdsxAreuDDpnhulLkgTRK+TLv2bdjQVu2gBQOOnUKxkaqlKqTIWOVfa+IhbYb3dxCUQl07bq5ouWiEzmIyZXIStzWSEjgrZBaZFBJugyhngZF2Lok2AvcSKoTFb1V5ikvYORSOpGy1RAXxODHFieEKC3EOEk6bUamqF1GRJLD3enANKcxJ5LgJWXmqhQAGKEifEm0auuqBd1aLt3I1CyJIVBtYN14RnA0N23mWEm9VKv0spIRa+yhwRTdE+zTAj4hqfJ9eguolrXJ2NKSTSjEg5l8YaWRoFvX32yk95K7hJAa4Zj+HEgKNiJ5VNtWUMbq3Ldpy0J57UMMvVWujhscQI5wnsRLFy2cFTwByAH3+UWkOxyISvpvjh5MStJxeR/mLeT3Au1PYk4qb3mOZZhGkU68ynT5/x+dOvIPL485//bd0cbreXIkzFfXI6napb7nw+IwRvLDstdi1D4gfXdcX15QVxuSPGFRrIG6NovdM0gZzHmsUqmaNYymKWnoPny6mur69fvyLmjJiWuoERTfCe4SDtoF5fr7i+3iUz0IdqRZBXKBZyD4JHhoOn3kJqqYFHax2iYnlOYA4dH3b8RluQD0hyjwVQFjhYV9MWSJjsvoEfVenavV5uliLhdYByS1ASwBM6t9ZceGONWRoCEzqPSQ2qJokP07G7ryX+z0tNPXvdDK5Zpypz9aXdFCxo0++s8tGdL2cQWpygJsM4kjm5LfcStxpKd4Abnp5W5Jgk+cc5pGxAG7cwHFVk7V4j45/qnCn/XS4n+EBdTF57lgKS9D6rfLeySPYCVeD0d0S9PBU53vZw71sZirfAbB0bY0FU920dexOLKlZA9PMABmftyKBWau4aXL9H3wWwsptU1SRgB8+aB+0G2Vunugmxi88AHiICqBUEs4czm0ndTHBD0KOmkcBdr6E9dMzDvzGcW0kZO8aIyKXdD3pwqHlwTAYwGuteimv5u51TnkWtETvWj2G8OBNoDC9iB+ZYj6uUpfgjm881wLVa9FhNqlRBmQrLzjpS56YI7Zrl1GsItshrhtSdcR7FeiNgzjFVf34vLPbjh0Ygbf/e+6437/djzeBuoeac4bxUdNZjlhSR0lqep2nzwgNc29tU916uitTmnkeeswJyBE3dWnNucx4uc/WWBugYUrjVaJhN+dD7Qnftem69t8TVdau/DyG02BEQ2DnpQciMyYnV8TwLwPnyWrIF7wvco5T+sM9nU/N1fehzr6tkLr28SnVqCUJ/gC8B1uuacE/3ci7gcrnUtjatkKQ8lwrsGhOXxFWUUsLt+lKTNBrPp1J2geCLe3KaJqD0Tnx9fUVMKx7xWDf6y+WC+7pieV4qiFVQrvyh71JWQJWGto7UesAlpjP40MnMKvYG4G03WFUSxjpMHe+ZZbUnP20g88adOJ5r+O1b/NTxX5Vf0ruye44KutpnFrRYktAEVTbbHmMTmrxrHRks0LT3ujtGaOtTj7H3ove4B6wAYPJzAw26B6LVi8tJeEyrr6/riuwnBG4ZjE3+CVDWa0qURq7gLgTJom9Nzn119zWQb+ePNzzV7zUmzGaYO/u8o1wbLfb2uzpnQ6s56zHQv9nwQL0Pn2v4iJ0fZgusUGNebUHzt+i7AFbCfA1lOtcq3aolqzICoxugPWLm2i9vnChAIdUWXOlv5TLbrAE3LGp9txr+uPDrO0tPpg7kGQwvQkIEY9WyysaVd55BPu8LU3bPvyOgRhBgaQRWv4dGYSZi3JjJVcAwl6KhvSlYwdh4Q5YPdJRUMLIrc0uArbOTOSK4qVyd2n9EZVNoGUkjiHlLmI+8Y59377PxGbYbxhaI6LHe+xpDArSSCzFG5IRO+PZgb//egb5EAtAncdS/eVsjK2cp8voWsFKMTK7ncdH8dLPu40/qM3tXgQEzqjrLzHDajsaMizSxVku2gJB5lo0lLWsFKdV64owLwmvmm9TQ0ca6t9sNnz9/xi+fPuPx8RGPj4/IGUjLWlsKJU6YJo/z+YKnp6cavM4sWqvKK7UoajzcfV264pFZiz4aC7qCIgZVsMbFXfrl5QuSaYYOAE9PT3C3m9SqKptfjBKcLICKkZPyZZlP+A2vaPufPUuVneu2iW1d4Jkz8ho3/AtITNhYUFd/66kBDLu5j8rqFoBsFZ1OVnV8OdyvTe4p8skeK3+PINLEnWlWsS16WsZNCinvA6hxzY2yVTd1W1h0fAY7PxZYEZFs9NqvscjBTGINhWsB5sqTYp3zpdiLK+DHBKSDKzCv4Ny1AqCnU4uhUjDVW6qUx4TzLD9JyJKOyRATjX6fkL6DZM63D0gt2WNS3v5ms0+jgap6LuYW3wyTlJRbTJ0CKwVX/ypcgSsDswtYWdKvUyZkTph8gNOq2FlS8KWWoGgqeb0Kgp4CkFpVVCJC4iTp+QMxMzxmlGVXNbGqEZBUlV5Lgm1jfEL2helLWx2HDM8ZhFxSh4GENugKCqOYZTCxKxYcu7ilpD75CXCENUak5OB4xkKpVv2VBZDAmUsqdS6NorPEN+Rmrk0kLTG2Aqs8KyfEVNyJnJHyAqKTfJ+SbI5rBGLRQFxGKAs2xwgfJLZkiYzb7V5TpauYK0Kh9tsiCchPMVW3IQD4WArAOgK5CUQAl96ATIykW6xaq1yGZwdEV8AXkBODk5cSDKVC9Lhx5FLZl0gtXftgSN1qtWo7ZdCkIJaRpU08GFLJ2grvrPE6VBymDljLQiSSFPeUInLkamkM5AA3IZWyCxM53N2K+RKk4Gm6I+UbMq4AnUoBQharRSlf4SggGG1ufNfNX91W+m/9boylqnxpNgArnLz3cAwsKUqz66rwyEYMR8PvWoA8M5BXvbZavEjmuQSUwzEcAnySOj2OgRkOHGbkJSKczuDphn+JEfcvn+D/8BGMFUwzOHhxg00P8P4MIAD+AewCmAjLmnC9vuDTr5/x9ddP8B4IyJh8xpJfkfIVKS9gJMze4zTNeDxf8OHhEcxcNyorL2ybHSKqpQ7mOeCHj39AzhnX2yuu1yuyc0g5Ise78IBLwLJiWQlPDz8gZ8blcsGy3PDy8hU5x1KQ9AofgGlmXK+3rk7R9S7lHJZ8xS2tsun5E5K7I/hZasERgdhJFfPk4djBhSQbSlU4CsDIhJSkcrmtuE5EYPLgwFiR4ExniZb12luIKth2Dt5RAeK6ATOQCYkkjkrBujV5KWgYlQflJ2KTzYVekZY2L1rsWJXlsnGmBewClshI5MH+hJUTTqeLWCSLVcaVGmH5LnMPrJJ4EgI8SS2pnCOwJvFrOQYKYKCc4aqlCzU7k7n1mc2+bxVmLVg2VEPXkoa6xAKSyamFKCEQwXsuMgGYZw9yGWu+gwLj1S307gAAH7FJREFUHl9wnrQdmHozZK/LnWWvAN9AOJ08np7OuJxCA8WkVisPzbauY54KmFTAlrXkhKx32SO1qKrOWgGVoAb8ENox1XDB7WVkUj/n55qB3hQ9YZ91lRpvwct+ltJavCNAjueaKZtzArNDYkk2SWCsqVmpXtd7lwn5Fn0XwMoKKuueAIYiatybcJUoU83uA4y1oPPfbk2Hb93Le8eqdUo31c1vjVCxn6sVpnODMZdyC7JBxaGkvhvcGfwb9zVaz7bP1btNG2LfWozqywSw6iuVl1oeajHLchrNKMw5g5LEYyHl1nxXtTJzLTv24330i6el644v+4x2Dt7SYpSa9rEdOHtss3Rttf1djZn7+i9Ze3q5/TkctdumQRqtGP14MfpspNHyoFrnKIjeGnMLrN4iBVh2XHX8bVuOPeFTj7efDW70cTztpqOuCAfCEhNu16sU4/SooFrHKgSH+XSC1Bp1+Pnnv+Nvf/sZzy9fwHHFH//xH0DEWNYbXl9fwaWWWAgB03zqartpNXwpurjUZ9Pv9Jnn+Vyzo87ns9xLWUMvLy9yvWVBSivWtVnlZeMGQnAA5vrMy7Ig5yhxZ2p9875r0j2uobfWkX1ZuSq/6eepbehtvsUNljbn0nNYfh2vbS1U71khKlZ7R1Q3QLdvHavvlA3oG9dme067Vvv1apOc2mcxxpotbPnT3psFS+qGsrxNRK0MzXD/dg9SK6l+JmBB4k+JCJI933/PcN21nHNiGfVT5R9rPWrP3OKo1DJ8uVwwGXlV94AkmdgCoPRatlxC6aPIpbwRo8VacarX02xNZpTzpM6CZ/m121fNHtPmoR9frgHoqZZKIceQagJljB1jTTpnWqMqVTxhq9n3RZvfp+8CWCkpI0rDXfmMmCsDVuuAsQiNgvj3gCdrxhuFgF18e5uxXF8mSMxmhantgkJ/TnV/5cxdL0cikgwo6O974eR90xQEMHnY7EG5J3ExWk3H1gPpn23vsx5IimYK0YaKmVcZO4nNDL5soMpotWga6sqpY+GyLCiXudWEMaDKkp0L1fT0nsTdl0twvBm/N4CVCrRx/vau1/ihvRNtLVuVByhDayK1exYrpgUVVnDJcTrGTZMbBanSCFrH++7Ai1kDVsCPhfmaC85sIoPpvoKYN2SHAvexWrPe87ieNr8tlgUHKnHzPMRG9DygMR+STQnAe5wL6LlfI5Z7rIkT0zTB+RZYPfkgxVNTxrou+Pnnn/DTv/wFQMaPH5/gvYzLsixY1js8OZxOEkP1+PShyhe1SmnZBPuc45iLW/AOtQQpyJKGyRO8VwC6dnNxvRbr+xxM5XN1McraizHXeVOteXTtqfywhRT3QRDQtRaqAESOb24q7msf7Siw+ndKsZv3MS5njMcRxaDnj1Hu5rwns8o9515B4GKNGedGlQ+7RnJ53jGOUedc5Y2CIh3fJuv6fUfHfgS4VhaN4M5m8inPjnuZXbuyJ3h4SMamhMxIhXOpsi+xrdpqTO9Vky8ufq7ntNeVOWqgS/m1uvy4WbM6N1q1WOssqrwdZC07aOys1IvUvYh3j99TDmzxUXtMP68qx1SetPCPaVLeK3t3cTlKbBVXvlLgnPLagaplWbCuraDrXoyupe8CWHnUOuSNscym9palxkOqcSvgUmLmkim2Y1HC1oIx0igw7O8pMzJHQCzp1QKltT6IiinYCrMKsnMzgY5CiYCcTPExR9V9owJUx2X8LZH0B9MFYwMs272L+ddqNkRi2q0CpYC8sYaRboBWg9CFu6aWUWeFSptL7FrQgKLBcBke5la+gYo5mdUCmKV20RtzZakCgx1wMx63ve9m2StH7WonzAISxzgI0diUDxR4tMVt76cKePPSe9GxRRH8KlRijCBwrcivxzvnamajjaPSY2pQq7mO3oMdvVGgjRp2GzfafGc1y3Gs7b3oFNu16FGTE20/cSkgy00T1arsEvdxxt1kc2p7G0cBk/O1snPOEsj7/PwFP//1J1yvL/jw8REPDxfEuEjCA2TzmYPHPM+1Ka+OuQIq3YCnaerGVAGDdo5IJXj49fUVp9MJaxTBrPdJRFhX6oS0WL0Swnyp5xPBvmJdI9YsAn6e26YnGyE6YDVu9uP4K6n1Sy0H7Td6XQUDLYM1pYTJ9/LQXsPOu7V8hBAwmYr3Spnaedp6bdaqPf6zNAIVu9FqmRXmEhdmNmDbNcEqh+Pa1FIoMacNMMrmeqOCN97jmwoktXHTtWPnz1rPAJsVLMqIcw5grpbwnDUbuciQWPq6Fuvp2c8deNRrhzBvQK+jAAIhRS6GAZSIjGIF99qwWhVGm9FXgFMt/ZwAdiWG2O4PdUTke0bhPxu/JAeta9zILlUU9fOMfo4sX3jvi1VbAJUPNvmil1cxRqxxqWuyBa2XbhF+7sr37NF3Aax0soPpC6UmXCISFA7ZbFl+0C3GUWtwcH25gHKcK4G6mXInjPQY51zfrgHoFpz3UhLBhyAAK2fNXwOoxPBA/LpdFXaqFwG4B0YpJTHzA7ivqwCVEqQ7nU8I8wQqRd3q8zkxBY8++QoiyIKFLdjR6rLammGeZ5xOJ1DwErSMws7MolVkhhZDl5IQDilnLHGtGrw+J+kcoWhPLFarlDMoSmkGKkJg4laDyC64tkkrKGkbEBnJaxeWbnC2MKCea4/Y+Bp0HEatlhx3mn8dP0KxhDTQ1Oa0ASzVonJe670657Bq5eYq1Jtl5q3NQn87fg7KiOb6VmhaQKZjYQvxAqhB01TAM8CSZm9ApgrtMquFOXoh1oS0FVLKSWKpalaK8l9utY88cWmFQlXiOucQsmi2zk9YoygfWDMez49IGZhPFwAOjjxmN8PPJzw+PNYMv8/PP+PTp0/4y1/+gq/Pn/CHP/wDfvzxI6aZoMkP5IDL5YTLaa51ea7Xq9SYWpbaq0+tTjaWU5UfdRvO81x/l1LC9faKZVlKHFYs1gAHorlzK8xB6ldpML6OFSDtVtLKJlA/YJpOeHhgaUitctK4CHPOMlUFSGiNuqZQ2ergxQqRCWxqh2mMqG76KSXMZq0o6RqbfKjAUYFVfVFzaamiBsM7ar1hsHEZqUUBFW1bPYfzaK1CsVqgWA3L2mGrvGTcbjdksuVOMmJcul5/qfyuFYftW0YR9+1N9tycCo6sfLZyRlsLWfd1A4Y9ALJrXgPXKWkJgZZJqC2SPFqh0/P5jB9++Ac8Ul8eRIwAvsq4puSVGOXyvGtd+ypnJLYVYMS1D+IWni0eJXWXGvcxl/hkW+JGZbEmYNh7qSDXWO7t97Zv5pqisVqpAiwxts3qL4lOWuLGOWkHdT6fcXk4y/Oud8S4lGbW96pUOedwPj90PQ/fou8CWI2xJMKcQ+yNYVh1GOxZHVCC3O1njqVct1q2KLSu5pYsKBi1B3s+HwJgBIDU5BmsUOUr5rzJlKkTT00oWD+59x5+nqorcE/LkHtfh3+X26k+cVe1CGvB4fFeqZmc9f7q2Ou4cFvw7AgpMyJnrLkwrGtp3pot46hpMg6l5oqCFu6vM85D/95KbTCrFWsbg6R8Y887blJt/Ps4vv58zeKVc9MA66sAyJRTl6arghHo21sICFHNirvjLR+O87tX/0Z/X+8F/drYWxP6ezvWVljb89X7GM5lFRdw4zE7LjZzbryXdmwTjLKuFUxtY7IsX6rVUk1el8sFEYT54QnzdKpat7g3pcfe7eUVP/3yE3799Vc8v3zGDz884enpQVLFnbhjNaVeNXYFEMvSlxZQgKJjoJvO6XSqfyvIOp1OmOcZKTdr4zR55KybZ+p515nEGwOe7TjY+9Pry/XahjNarnS+BVy0nnTOSVG5yg+sv2khCLa8ybjB2/e9+doFBWigalyfWYTzRs4CPXgax4WNZcOuYWYpyjoCK3XPxhiNxao1u+66f0CSS0IIoFI7rbfoGOvW2qzFo/XJ/mZPDtl1N8qhTpkEoFX6VS7J+bnej7ongZJVXJQCLj0mQ1FkO7cxy97V7qfxQVX+o90vRJ7HEhPY1dcY5ifx2j2fBK63Vjj6ewFAtHl+G2ZiQax9WeXktqz9mHIDsjFG6IadcyyGEK4ye13Xmo3LLJZi21JM1qA2kj796wBWdhPyYvaAGBKpVr0l5hbDAwtczGfGLWhNtLZtDTPXdiLjRuOcq8Ub7SLVlxVaurkzUgVY9pzMGZSlbgwzV7eGvW8xkmrGTTmvI1BondIlyLA3C+sCZt66fWRBbKvJ23dL428t6FPtRAGnapp+ADYkBzWtTAU4APLi0pExyshUqtK/4R/sn2MLrnNuwe/dooWChV4w61iNRUAtjUK5CfjxO3RjI/ck4MqOsWi8YxPjZknThICcPWxvNzLFUK3GXwVcSiJA3wDF+rIAbdSS7doYgdUeX4zHiJXWhpvvW9rG915j5fpue3N1vMqogFGsfEZGUMDD+RHZTZgfnqoW2TY1CTR/fn7G8/NnvLx8Qc4RH394wjR7pLTCl2haV5rZTpOMfc38oyByg8SixcbqIRuZg/MBYdKikSXbNqJarhjB8F0DUvf72lwYJMXJ1igZffPUAyvNWh7n2c5xl+VJPRDR+SFqcT65WAbr2h7k4+i+lu9CZf62xgpgMGVNnOtrG6m1MpO4z5rliXdleFWe9N4TNrxVv89by67+HVMrCCnAKnbHCbDqy0bYzFkBWAJekVts0bhGrHJkAbpdd+Nv7LzYz7v7N6UYxnpRMLLXOVQwqGBLv1uWBfEewTFVnpVzNOUnZwERwhttPnSNihsvFF7R+7djvZWrCoYT67mKLKQGcAVYNV7PCdDm2Bp/OIZBVFA8ACs9R+QhznMopSGKCyCufxLlihyWZYEPDv7eXPI5G8svAOc0TrLVsnuPvgtgZTV9ccEIUy7LAqbmrwf6hWVN394wi7UAOO4Lg9lzWIEFNHNvh9aND1fPua6rMCuylIQo8VWOgZibkBNA1QBKv2lTZfbMRaNTUxzE5db3dGpasd7PNJ2ghiq7iO0xnSBiEaLe1BI6n881ewnUAkPr+Lkt4FSmVxM4yLj/vC+tfhrTO/N9BWHc37NmpFQwXCxH8ps9ywd3c9O0Oerm1QIQ5a9xDsZxqoBk2GDqOJpedwDKcX3ZDgtK7D1KbaM+20hf2irl9fUVRFIYUnlcTfyMVKs+72nBe2R5XNfS3vN2WqDJvNT1WTcF7jczO446J/a5lHKWsiQ2G0rbRQDqOm73FHMbf+Rc2iFJ7aeFPPzDI3gORdDNCCfJyLtf7/jll1/w95//imt+ASjjfJnLxqk8qEHFqIqI8kYIAUwB16sUIZ2mqboD9Jmkd6H0Y7O8xBklq1DitJglcDaEh2oh0WruKa91bpGK9cSJa1752SoEIQSp6H69YppOCGHCNDU3cXVpF96KMRaZwV0Atzx/S2postBBs8WsLNRYr5QI2cR+2jlWd2hffLLRHjCRex2Vo0GpzbRZg3Xdpa2Ma4BB12CqFkK7FnIBBLomdU6fnp7w97//Hcu6wrlQx2uUp+RaQP88z/U7PddoUdn8ngjkmoXUjuX4GsdPeEpK7ihgAcR974ZYKY338/CSPesIQLMCpRIK0MU11RZZBRyyuC1Jas1U+W/n1srUBkja3qvgKnMDSFVeJj1nsTbGxfBde1mZb3m5znlpV9XkbevMojKPiDBNZzw8nhFCiQOkLB0fyv3c7zektNaxn6YJp9Oldl4AS6/O9+i7AFa23x6A0vZEGMiRtQINC8wxkMVS1QLEzaaZCRgADWAXXW/NEdNoO7/1wVttwTEQjWkdAJByc3VRfx/exKOMji8BVwQo4xFKNl7TgtqmNrrI9LP9VF87HnVsjbtANtkJ2v4j2+OTxNVkJ9YytcCQc8huSCc2z1LnSTUqGAtEmWsqmqa0NGjz1rQiFAtfEUak4/++GV0Wz/aZ98bh95I+k3WVjs1g5fwJObe4L5gaL43UBM9Ataz2/Gn5zWbnpCTNfu16EOtdqsJ0fFYrzO13dpMZS5jU1xu/FwvF+2O8Zw3Wd4mXY1DW7Fkv679hth60mnM6CoDLyORAVGLOphk+zJjmsxQOZeCXX37B8/MXgHKJ+dJxbNZk5vcDju/L3cTfxCqcbYyVjnE3bhlY44I1hhqXoe4aBR2n0wmMhBgbALFtjhREA2jxLyz8Y63Ro9JQwS5zZ8lKKQHjZl0rZNtn7y2Mdvx1c4sUN21MeivPe3M/yKTCZ5b/iaiWclFA/Rawsnyonop2jVRlwSj/W/Zvf49d7KH9HQ3r3153OLfdU+wxe2Py1r8B7I5vk7fNQqj3JyAK5jtCTqgZbQqesrHyxWIFtr1G5b77+Ccu/SftPaxrMyCktHaAprrvFJgZa+G63rvYVFlf2kkgFUvbrfv+vf3Mjp8jLjKlyexRCZA1HAqwEpmQlhfhiqwgsz1bVdpCEKAtm/xv7iffBbCyG+/IgGoRISK4DKx2kNOWqfUVKHSgqgIb2vYDtJ9HIzRtEKrei1wv10VdNypjYQFMlpPZiJjFFL5ZZASk3ASLcw5uaunJ1gJXnrQTkuISFBO+HQc7LrpzWQ1Teoi1mAhVijrhpSAJbZOlDCnpUF625ozdlHPO8LmMGXOrtA5sACbQAK8V6mLB1I2pBw8WJDCXlijWXTycq/98P11WjivP7t6zBm35ro+dKcIDubvX+kxkf9cWddvEQ810U6uVBds6XqAMDKUPLK/bDc1aIKyL8S2QNFpq9d0RQduWvrWJjtQ+MxZFBrg20S58iZZxZZt8ewqAT8guFPe5gwszwnSGn0WTJOex3m745ddPSPdVgCm1cXSutzzMc1tjKTE4tcyj223p3AwqZNUKZclaJ2KMwCrPK+1yGuCYZ9GgnQe469Emrjqgb5GjAGZ09en8WrmksimlWlYXkZWXYnVfN2ssw/vt/I1rZgQQVIqYWrfXGFdleWoEafZza7nUz/Xe3wNWerwqbW99b/nRPqdzrtTy7GOfNCNU9wLWvcD1oFAsumZtDM9mn2nvPhoY3F8/ADZjq2OixzmND2LuhCkRwZMDk1pf7nh5uQoPlXpNGs/UAIvy+baVkXxe7t01XtdyH7J21G3XknSYGQlqkVvLecTCu8YCrsx95IxqsVrXO0bqvFADr1Wedi2+l1nmzU+htoYSni1WqiJXpQ3a1NyOHBFL0gIFh+ksXgMXAuCkKTfnlv39Fn0XwKouTIO2PUusTh1AHURGreQ0bpb6mWOHofVPAW+umjItYAGapcFmX1k/r3MOKL5X+LkJgizVoVPqfc1sgnv3QIQa2Zi59gLMYDjXUpTHPm71aUtTYy4GK4UCrG2S7QIv/fLsTVTGQy90PCR4llkKgMoBJVAXrrplebBygJuWZsGDmoMdo7l4RJp0AsfO5SicBFgb1xqKJc1oSHVYiJRNNue2QOO3yB6bh8SD937T3jOSjQ2hbVCqPI8Fwga4OFfTqevma2qTdRsshti/4Z4sqBo/b9YU+9ws7uVcMkLr2Op74bZ6XnvF3sKl73J/eoIhW7O8aSbruEESAwSJK/PeS8ZvYsAlhDBjPl/gQwA7h9f7Db9+/lU2yfMJkw9Y4724qVo2m47r6XSq93m/32uGZBsLqoCqaa9t41Vet3LEzrO4D9t57vfiRpx6N5x+lnPGfWnp/4C4IeSeWhavDerFO8BKXdkKrPQYBVYjkKqzOLit9DOVdfrM1qJi65pt5pB6BaUBqmHcRCDW34p1JhceY/OSf3NuTzp+3yujvVLsXJAozw6QZZzP5zrXzM3qjh0AZ8XC5PZjWpUsoNVjyhO8qfztWavq3PgM3eAcKcTrAZEroOZ6veLl5UWAzNr3JGzz4zu5Lc/eeCJR6w+rPLbGZaNQxLh0vKvNrBVoETHu95Zt2/OAZnw75KEIreUvohYSo+uwxpjVlmCuZVtDpNKk7XhCa1eUIFa8ydSNS7m51TX7zzkH76YCIjXc5F9Br0Db3NQCHi2vD7TlJKBL/q5uFxjrRqaajlpNgOxM+jiQUh8DYpkjc/PjWreMDjbQUkWlEkHGmlvl5frKjOyKH7gEfroSmC9gpAj0HMEA7mmBCx6n8xnT+QQXpHSAVrfV5wW0+q7H2EJCX957NDPSnjWCoFavMVZHg4bDoEkp2EprREoRy+2O5XZHXNZa7NPOhWibjFTa8HBMQEw1H9pmBcrxW76woFqF3xrX6pO3c9zi9Pbrwlge0XHpN/72PZf0XJcBci0GrB9DLmC6xSHY+4mLiYnI1FmurKba8V5GdTXFNdXClJfLpTZ8TSbGShZ8Hzg/gqs9soJ8LCSpn4N49/g6pjvWgPHae8BZFRC9X41jkXHRWBGuzapVUBIRslZWJsCFCfPpgtPlgvl8xufrK/729094fvmCf/rTP4Iy4+Xr167qPIBqAZy8x/XaUvJjjNJMowjgeW7PN01asyfiel06bV1l1+l0KnPfNinNLFqWBTEuWJaymd1zdSvKb2fEpQRSuxvWJVVrw7qumKYT4Klu/MtdgvPjGusmZPsYRt1sSLM0CZ76prmeJrS4Rp0rhvYzVUtZrwgwkDJeXsR1os+ufOyGNWeVJ3VH9jwj/141lm6oVScbrY2PFSVAzgu4oHyHeq76W5MIwqTAUCySIYjVU+a+uaU+fPhQ4xolLKSsYUfdOBBRDV9ROWPvWeWRBfLWzViVQm4y2H6+p2DYNaRWTRvKps2P1WiQEiOlKz59+oyffvoJX748I6xhVyHNBiP0e0kpeMt9zaiUEu7LDTlL6Qrl9bFBsSZkafFS50odN8cIk4MWWW7eE12rk/m8B5jWOlr3fB3DydeQAVkLUnvqvtyQOZW5lSK9YsEumaHXW91PvPe4XC41s1d5Sfm1rpPRcjPQdwGsRt+2DBYXS1BfuM1uAragpnOutrbprFfOASYA0p7HBj9bhrKWKr2WAqu6iaEBDnuOLnCzuMnqYoHV5uUQBreG0+gXH6EFptoFbK0VexqILNp9y4z8dvvMsrkwrBUFQO1rZ7MklrR27T3moWVKvRYKAMoMTglISVrboOzbnRDZWrEUAKuVQy1larHSZ9VNRdxlvpuXEXA0wd+7gutssEmrZ4ZTFN8JOLRxHoDVyGP1PmBM3nmtgsHymh4rn6WyIZeilKZ+kHVlA33ShZ2Dt6x29tpuEzzctHV7PivsUYCP3RTs2NrPrWXG3ke7z1W01JxBvvQuM9YgmU9xd1QNmQHnvJRN8R73uOLr1xe8XF8RpgnOeyz3VwFAvs2BgipVAm63Wx0jIqoV4PVZ9Bnu9/tmo1N5MLYLsoqMartyfm4xWyZFXHiunUPuMSHFdr11XYHsNiDYOYf7/dbVuIsxYi1yrdWq8shkM8lc9QbYNdf4RWLDamKQb2uKY8Lz83PHi6pwBnsc95mL9rP2DD3f6HiMFrRRcRi/34ZKADZuSGKkRKezNMrBMT6snpNa4dt2jAFWa6sTN55jVDasTMgmbknHIQ/ryj6v3iNHPYdd5/1xKlfuV2ne/fLygilO3X6l42RrQcl99ArfyttA8vsiYEQakveKay0BMc3wgRBIlY7mfm97mbo8SywUPMj1Lm6r/Hf76zBPWV22xPAuYCaHfLthjYzr7QbnPZz3yCCEvMJT6ZVrFAjvWxJGJ/Pq84k1b0yoGum7AFaWGZtmIN/ZBblB2nmoWp1bnZZus+BtRVarWY2gThlq3KAq6EkJ3pho94RGAwNWIBsXjq49ZxYbtWvJpidxT5Zxu3Oa0hKbDWuYd/vsGs9ix4+IEGPCttWKgEPrP49prTVSYoyYhtpFVVAXczRKO5uyYmtRVQsQmMd7bCAPJnjdjqfOndUmrencbiR2fmW8emAl95HN9xoTpveUqrBmsyEosFILS7vOYOGBEVSlWa4KQHvNGiRcssVStwm3c9pn0uyvvbkeP9soMK4XHjqebNfVuLGZ8433Yl82+7BunkPgJ2exVMhciuuVBV1pKLUe2cYVKA1o1cUmpRXWdcXj40cwc22MnJDM/KLxfRnfzprAbVPSTY+IpKCk2VhtixoFaTUD1mSSaQkHGycD9CEGudRIOs/n8hsR6sm11PL7fQWn0lGBWwY1gBp7tye7vFN5GGuckM4LqBWQtEBAnkeAv1rmbC21NckzirUrCGjT2wljTJ+82LEkSWy5Uv5Plmd7mWtK2PXvQHFXN1DR4ao35F+VASZLcs/qz8w1iUiB1Qi66m0M341K5lvgqt8b+s9H97KeV+WUzJt+l0HU70fKC1rk8na7Iachfqrsi1qrSa7Ve3CWZUEEOpmUc8btfq3nV0uU8rmCJ/aolllXsnH1O5thq6DK+6msz77UhAVWozHDjpPzLQuRiDpDSJPDCTn3VQjsb8as1qwCp/BUjH2w/1tEe0L4oIMOOuiggw466KD/ffpt6HXQQQcddNBBBx100O+iA1gddNBBBx100EEHfSM6gNVBBx100EEHHXTQN6IDWB100EEHHXTQQQd9IzqA1UEHHXTQQQcddNA3ogNYHXTQQQcddNBBB30jOoDVQQcddNBBBx100DeiA1gddNBBBx100EEHfSM6gNVBBx100EEHHXTQN6IDWB100EEHHXTQQQd9IzqA1UEHHXTQQQcddNA3ogNYHXTQQQcddNBBB30jOoDVQQcddNBBBx100DeiA1gddNBBBx100EEHfSM6gNVBBx100EEHHXTQN6IDWB100EEHHXTQQQd9IzqA1UEHHXTQQQcddNA3ogNYHXTQQQcddNBBB30jOoDVQQcddNBBBx100DeiA1gddNBBBx100EEHfSM6gNVBBx100EEHHXTQN6IDWB100EEHHXTQQQd9IzqA1UEHHXTQQQcddNA3ov8fE4retzsszVkAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "labeled_image_1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'faceId': '691d3dcc-fe66-4114-9906-784d08e073a9',\n",
+       "  'faceRectangle': {'top': 99, 'left': 410, 'width': 125, 'height': 125},\n",
+       "  'faceAttributes': {'smile': 0.012,\n",
+       "   'headPose': {'pitch': -5.1, 'roll': 3.4, 'yaw': -3.5},\n",
+       "   'gender': 'male',\n",
+       "   'age': 30.0,\n",
+       "   'facialHair': {'moustache': 0.1, 'beard': 0.1, 'sideburns': 0.1},\n",
+       "   'glasses': 'NoGlasses',\n",
+       "   'emotion': {'anger': 0.0,\n",
+       "    'contempt': 0.075,\n",
+       "    'disgust': 0.0,\n",
+       "    'fear': 0.0,\n",
+       "    'happiness': 0.012,\n",
+       "    'neutral': 0.913,\n",
+       "    'sadness': 0.0,\n",
+       "    'surprise': 0.0},\n",
+       "   'blur': {'blurLevel': 'medium', 'value': 0.58},\n",
+       "   'exposure': {'exposureLevel': 'goodExposure', 'value': 0.7},\n",
+       "   'noise': {'noiseLevel': 'medium', 'value': 0.48},\n",
+       "   'makeup': {'eyeMakeup': True, 'lipMakeup': False},\n",
+       "   'accessories': [],\n",
+       "   'occlusion': {'foreheadOccluded': False,\n",
+       "    'eyeOccluded': False,\n",
+       "    'mouthOccluded': False},\n",
+       "   'hair': {'bald': 0.02,\n",
+       "    'invisible': False,\n",
+       "    'hairColor': [{'color': 'brown', 'confidence': 1.0},\n",
+       "     {'color': 'red', 'confidence': 0.59},\n",
+       "     {'color': 'blond', 'confidence': 0.27},\n",
+       "     {'color': 'black', 'confidence': 0.17},\n",
+       "     {'color': 'gray', 'confidence': 0.05},\n",
+       "     {'color': 'other', 'confidence': 0.01}]}}},\n",
+       " {'faceId': '79fce101-68db-4bda-b64e-3233aa02295a',\n",
+       "  'faceRectangle': {'top': 179, 'left': 105, 'width': 112, 'height': 112},\n",
+       "  'faceAttributes': {'smile': 0.823,\n",
+       "   'headPose': {'pitch': -5.8, 'roll': 0.2, 'yaw': -3.2},\n",
+       "   'gender': 'female',\n",
+       "   'age': 32.0,\n",
+       "   'facialHair': {'moustache': 0.0, 'beard': 0.0, 'sideburns': 0.0},\n",
+       "   'glasses': 'NoGlasses',\n",
+       "   'emotion': {'anger': 0.0,\n",
+       "    'contempt': 0.0,\n",
+       "    'disgust': 0.0,\n",
+       "    'fear': 0.0,\n",
+       "    'happiness': 0.823,\n",
+       "    'neutral': 0.176,\n",
+       "    'sadness': 0.0,\n",
+       "    'surprise': 0.0},\n",
+       "   'blur': {'blurLevel': 'medium', 'value': 0.34},\n",
+       "   'exposure': {'exposureLevel': 'goodExposure', 'value': 0.63},\n",
+       "   'noise': {'noiseLevel': 'low', 'value': 0.1},\n",
+       "   'makeup': {'eyeMakeup': True, 'lipMakeup': True},\n",
+       "   'accessories': [],\n",
+       "   'occlusion': {'foreheadOccluded': False,\n",
+       "    'eyeOccluded': False,\n",
+       "    'mouthOccluded': False},\n",
+       "   'hair': {'bald': 0.01,\n",
+       "    'invisible': False,\n",
+       "    'hairColor': [{'color': 'brown', 'confidence': 1.0},\n",
+       "     {'color': 'blond', 'confidence': 0.66},\n",
+       "     {'color': 'red', 'confidence': 0.61},\n",
+       "     {'color': 'black', 'confidence': 0.09},\n",
+       "     {'color': 'gray', 'confidence': 0.07},\n",
+       "     {'color': 'other', 'confidence': 0.01}]}}}]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "response_1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "691d3dcc-fe66-4114-9906-784d08e073a9 {'anger': 0.0, 'contempt': 0.075, 'disgust': 0.0, 'fear': 0.0, 'happiness': 0.012, 'neutral': 0.913, 'sadness': 0.0, 'surprise': 0.0}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print out some of the attributes\n",
+    "print(response_1[0]['faceId'], response_1[0]['faceAttributes']['emotion'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'smile': 0.012,\n",
+       " 'headPose': {'pitch': -5.1, 'roll': 3.4, 'yaw': -3.5},\n",
+       " 'gender': 'male',\n",
+       " 'age': 30.0,\n",
+       " 'facialHair': {'moustache': 0.1, 'beard': 0.1, 'sideburns': 0.1},\n",
+       " 'glasses': 'NoGlasses',\n",
+       " 'emotion': {'anger': 0.0,\n",
+       "  'contempt': 0.075,\n",
+       "  'disgust': 0.0,\n",
+       "  'fear': 0.0,\n",
+       "  'happiness': 0.012,\n",
+       "  'neutral': 0.913,\n",
+       "  'sadness': 0.0,\n",
+       "  'surprise': 0.0},\n",
+       " 'blur': {'blurLevel': 'medium', 'value': 0.58},\n",
+       " 'exposure': {'exposureLevel': 'goodExposure', 'value': 0.7},\n",
+       " 'noise': {'noiseLevel': 'medium', 'value': 0.48},\n",
+       " 'makeup': {'eyeMakeup': True, 'lipMakeup': False},\n",
+       " 'accessories': [],\n",
+       " 'occlusion': {'foreheadOccluded': False,\n",
+       "  'eyeOccluded': False,\n",
+       "  'mouthOccluded': False},\n",
+       " 'hair': {'bald': 0.02,\n",
+       "  'invisible': False,\n",
+       "  'hairColor': [{'color': 'brown', 'confidence': 1.0},\n",
+       "   {'color': 'red', 'confidence': 0.59},\n",
+       "   {'color': 'blond', 'confidence': 0.27},\n",
+       "   {'color': 'black', 'confidence': 0.17},\n",
+       "   {'color': 'gray', 'confidence': 0.05},\n",
+       "   {'color': 'other', 'confidence': 0.01}]}}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Take a look at all the face attributes available\n",
+    "response_1[0]['faceAttributes']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Now compare a different image\n",
+    "john_k_2 = 'https://img.webmd.com/dtmcms/live/webmd/consumer_assets/site_images/article_thumbnails/magazine/2018/05_2018/john_krasinski_magazine/650x350_john_krasinski_magazine.jpg'\n",
+    "labeled_image_2, response_2 = annotate_image(john_k_2,\n",
+    "                                             subscription_key,\n",
+    "                                             face_api_url,\n",
+    "                                             show_face_id=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "labeled_image_2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'isIdentical': True, 'confidence': 0.63733}"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's compare the images of John K\n",
+    "face_compare(response_1[0]['faceId'], response_2[0]['faceId'], face_api_url_verify)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Let's try on the celebrity lookalikes\n",
+    "zooey_katy = 'https://www.nydailynews.com/resizer/vboKUbzNIwhFRFfr-jGqZlmx0Ws=/800x597/top/arc-anglerfish-arc2-prod-tronc.s3.amazonaws.com/public/VE7PI5PUDWW2BTS7NYR5OWEL3A.jpg'\n",
+    "labeled_image_z_k, response_4 = annotate_image(zooey_katy,\n",
+    "                                                      subscription_key,\n",
+    "                                                      face_api_url,\n",
+    "                                                      show_face_id=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "labeled_image_z_k"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'isIdentical': False, 'confidence': 0.35506}"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "face_compare(response_4[0]['faceId'], response_4[1]['faceId'],\n",
+    "             face_api_url_verify)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# How about a more challenging one?\n",
+    "rob_lowe = 'http://cdn.ppcorn.com/wp-content/uploads/sites/14/2015/08/rob-ian-ppcorn-760x500.jpg'\n",
+    "labeled_image_rob, response_5 = annotate_image(rob_lowe, subscription_key,\n",
+    "                                               face_api_url)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "labeled_image_rob"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'isIdentical': True, 'confidence': 0.50762}"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Looks like we truly can't tell these two apart!\n",
+    "face_compare(response_5[0]['faceId'], response_5[1]['faceId'],\n",
+    "             face_api_url_verify)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Run this on a group of people\n",
+    "friends_url = 'https://pmctvline2.files.wordpress.com/2019/03/friends-revival.jpg'\n",
+    "labeled_image, response_6 = annotate_image(friends_url, subscription_key,\n",
+    "                                           face_api_url)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "labeled_image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "6 People in this picture\n"
+     ]
+    }
+   ],
+   "source": [
+    "# How many people in the picture?\n",
+    "print(f'{len(response_6)} People in this picture')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Sometimes groups don't work as well\n",
+    "office_image = 'https://www.usmagazine.com/wp-content/uploads/2018/12/the-office-cast-reunion-brunch-photo.jpg?w=768&h=512'\n",
+    "labeled_image, response_7 = annotate_image(office_image, subscription_key,\n",
+    "                                              face_api_url)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "labeled_image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2 People in this picture\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'{len(response_7)} People in this picture')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/pandas-styling.ipynb b/notebooks/pandas-styling.ipynb
new file mode 100644
index 0000000..392f006
--- /dev/null
+++ b/notebooks/pandas-styling.ipynb
@@ -0,0 +1,1571 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction to Pandas Style API\n",
+    "\n",
+    "Content to accompany blog post on [Practical Business Python](http://pbpython.com/styling-pandas.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from sparklines import sparklines"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_excel('https://github.com/chris1610/pbpython/blob/master/data/2018_Sales_Total.xlsx?raw=true')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account number</th>\n",
+       "      <th>name</th>\n",
+       "      <th>sku</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit price</th>\n",
+       "      <th>ext price</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>740150</td>\n",
+       "      <td>Barton LLC</td>\n",
+       "      <td>B1-20000</td>\n",
+       "      <td>39</td>\n",
+       "      <td>86.69</td>\n",
+       "      <td>3380.91</td>\n",
+       "      <td>2018-01-01 07:21:51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>714466</td>\n",
+       "      <td>Trantow-Barrows</td>\n",
+       "      <td>S2-77896</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>63.16</td>\n",
+       "      <td>-63.16</td>\n",
+       "      <td>2018-01-01 10:00:47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>218895</td>\n",
+       "      <td>Kulas Inc</td>\n",
+       "      <td>B1-69924</td>\n",
+       "      <td>23</td>\n",
+       "      <td>90.70</td>\n",
+       "      <td>2086.10</td>\n",
+       "      <td>2018-01-01 13:24:58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>307599</td>\n",
+       "      <td>Kassulke, Ondricka and Metz</td>\n",
+       "      <td>S1-65481</td>\n",
+       "      <td>41</td>\n",
+       "      <td>21.05</td>\n",
+       "      <td>863.05</td>\n",
+       "      <td>2018-01-01 15:05:22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>412290</td>\n",
+       "      <td>Jerde-Hilpert</td>\n",
+       "      <td>S2-34077</td>\n",
+       "      <td>6</td>\n",
+       "      <td>83.21</td>\n",
+       "      <td>499.26</td>\n",
+       "      <td>2018-01-01 23:26:55</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account number                         name       sku  quantity  \\\n",
+       "0          740150                   Barton LLC  B1-20000        39   \n",
+       "1          714466              Trantow-Barrows  S2-77896        -1   \n",
+       "2          218895                    Kulas Inc  B1-69924        23   \n",
+       "3          307599  Kassulke, Ondricka and Metz  S1-65481        41   \n",
+       "4          412290                Jerde-Hilpert  S2-34077         6   \n",
+       "\n",
+       "   unit price  ext price                date  \n",
+       "0       86.69    3380.91 2018-01-01 07:21:51  \n",
+       "1       63.16     -63.16 2018-01-01 10:00:47  \n",
+       "2       90.70    2086.10 2018-01-01 13:24:58  \n",
+       "3       21.05     863.05 2018-01-01 15:05:22  \n",
+       "4       83.21     499.26 2018-01-01 23:26:55  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Do a simple groupby to look at the performance by customr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sum</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Barton LLC</th>\n",
+       "      <td>1334.615854</td>\n",
+       "      <td>109438.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cronin, Oberbrunner and Spencer</th>\n",
+       "      <td>1339.321642</td>\n",
+       "      <td>89734.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Frami, Hills and Schmidt</th>\n",
+       "      <td>1438.466528</td>\n",
+       "      <td>103569.59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Fritsch, Russel and Anderson</th>\n",
+       "      <td>1385.366790</td>\n",
+       "      <td>112214.71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Halvorson, Crona and Champlin</th>\n",
+       "      <td>1206.971724</td>\n",
+       "      <td>70004.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Herman LLC</th>\n",
+       "      <td>1336.532258</td>\n",
+       "      <td>82865.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Jerde-Hilpert</th>\n",
+       "      <td>1265.072247</td>\n",
+       "      <td>112591.43</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kassulke, Ondricka and Metz</th>\n",
+       "      <td>1350.797969</td>\n",
+       "      <td>86451.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Keeling LLC</th>\n",
+       "      <td>1363.977027</td>\n",
+       "      <td>100934.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kiehn-Spinka</th>\n",
+       "      <td>1260.870506</td>\n",
+       "      <td>99608.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Koepp Ltd</th>\n",
+       "      <td>1264.152927</td>\n",
+       "      <td>103660.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kuhn-Gusikowski</th>\n",
+       "      <td>1247.866849</td>\n",
+       "      <td>91094.28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kulas Inc</th>\n",
+       "      <td>1461.191064</td>\n",
+       "      <td>137351.96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pollich LLC</th>\n",
+       "      <td>1196.536712</td>\n",
+       "      <td>87347.18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Purdy-Kunde</th>\n",
+       "      <td>1469.777547</td>\n",
+       "      <td>77898.21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sanford and Sons</th>\n",
+       "      <td>1391.872958</td>\n",
+       "      <td>98822.98</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Stokes LLC</th>\n",
+       "      <td>1271.332222</td>\n",
+       "      <td>91535.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Trantow-Barrows</th>\n",
+       "      <td>1312.567872</td>\n",
+       "      <td>123381.38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White-Trantow</th>\n",
+       "      <td>1579.558023</td>\n",
+       "      <td>135841.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Will LLC</th>\n",
+       "      <td>1411.318919</td>\n",
+       "      <td>104437.60</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                        mean        sum\n",
+       "name                                                   \n",
+       "Barton LLC                       1334.615854  109438.50\n",
+       "Cronin, Oberbrunner and Spencer  1339.321642   89734.55\n",
+       "Frami, Hills and Schmidt         1438.466528  103569.59\n",
+       "Fritsch, Russel and Anderson     1385.366790  112214.71\n",
+       "Halvorson, Crona and Champlin    1206.971724   70004.36\n",
+       "Herman LLC                       1336.532258   82865.00\n",
+       "Jerde-Hilpert                    1265.072247  112591.43\n",
+       "Kassulke, Ondricka and Metz      1350.797969   86451.07\n",
+       "Keeling LLC                      1363.977027  100934.30\n",
+       "Kiehn-Spinka                     1260.870506   99608.77\n",
+       "Koepp Ltd                        1264.152927  103660.54\n",
+       "Kuhn-Gusikowski                  1247.866849   91094.28\n",
+       "Kulas Inc                        1461.191064  137351.96\n",
+       "Pollich LLC                      1196.536712   87347.18\n",
+       "Purdy-Kunde                      1469.777547   77898.21\n",
+       "Sanford and Sons                 1391.872958   98822.98\n",
+       "Stokes LLC                       1271.332222   91535.92\n",
+       "Trantow-Barrows                  1312.567872  123381.38\n",
+       "White-Trantow                    1579.558023  135841.99\n",
+       "Will LLC                         1411.318919  104437.60"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('name')['ext price'].agg(['mean', 'sum'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Style the currency using python's string formatting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style  type=\"text/css\" >\n",
+       "</style><table id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >mean</th>        <th class=\"col_heading level0 col1\" >sum</th>    </tr>    <tr>        <th class=\"index_name level0\" >name</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
+       "                <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row0\" class=\"row_heading level0 row0\" >Barton LLC</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row0_col0\" class=\"data row0 col0\" >$1,334.62</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row0_col1\" class=\"data row0 col1\" >$109,438.50</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row1\" class=\"row_heading level0 row1\" >Cronin, Oberbrunner and Spencer</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row1_col0\" class=\"data row1 col0\" >$1,339.32</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row1_col1\" class=\"data row1 col1\" >$89,734.55</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row2\" class=\"row_heading level0 row2\" >Frami, Hills and Schmidt</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row2_col0\" class=\"data row2 col0\" >$1,438.47</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row2_col1\" class=\"data row2 col1\" >$103,569.59</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row3\" class=\"row_heading level0 row3\" >Fritsch, Russel and Anderson</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row3_col0\" class=\"data row3 col0\" >$1,385.37</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row3_col1\" class=\"data row3 col1\" >$112,214.71</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row4\" class=\"row_heading level0 row4\" >Halvorson, Crona and Champlin</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row4_col0\" class=\"data row4 col0\" >$1,206.97</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row4_col1\" class=\"data row4 col1\" >$70,004.36</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row5\" class=\"row_heading level0 row5\" >Herman LLC</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row5_col0\" class=\"data row5 col0\" >$1,336.53</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row5_col1\" class=\"data row5 col1\" >$82,865.00</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row6\" class=\"row_heading level0 row6\" >Jerde-Hilpert</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row6_col0\" class=\"data row6 col0\" >$1,265.07</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row6_col1\" class=\"data row6 col1\" >$112,591.43</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row7\" class=\"row_heading level0 row7\" >Kassulke, Ondricka and Metz</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row7_col0\" class=\"data row7 col0\" >$1,350.80</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row7_col1\" class=\"data row7 col1\" >$86,451.07</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row8\" class=\"row_heading level0 row8\" >Keeling LLC</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row8_col0\" class=\"data row8 col0\" >$1,363.98</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row8_col1\" class=\"data row8 col1\" >$100,934.30</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row9\" class=\"row_heading level0 row9\" >Kiehn-Spinka</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row9_col0\" class=\"data row9 col0\" >$1,260.87</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row9_col1\" class=\"data row9 col1\" >$99,608.77</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row10\" class=\"row_heading level0 row10\" >Koepp Ltd</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row10_col0\" class=\"data row10 col0\" >$1,264.15</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row10_col1\" class=\"data row10 col1\" >$103,660.54</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row11\" class=\"row_heading level0 row11\" >Kuhn-Gusikowski</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row11_col0\" class=\"data row11 col0\" >$1,247.87</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row11_col1\" class=\"data row11 col1\" >$91,094.28</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row12\" class=\"row_heading level0 row12\" >Kulas Inc</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row12_col0\" class=\"data row12 col0\" >$1,461.19</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row12_col1\" class=\"data row12 col1\" >$137,351.96</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row13\" class=\"row_heading level0 row13\" >Pollich LLC</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row13_col0\" class=\"data row13 col0\" >$1,196.54</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row13_col1\" class=\"data row13 col1\" >$87,347.18</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row14\" class=\"row_heading level0 row14\" >Purdy-Kunde</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row14_col0\" class=\"data row14 col0\" >$1,469.78</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row14_col1\" class=\"data row14 col1\" >$77,898.21</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row15\" class=\"row_heading level0 row15\" >Sanford and Sons</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row15_col0\" class=\"data row15 col0\" >$1,391.87</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row15_col1\" class=\"data row15 col1\" >$98,822.98</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row16\" class=\"row_heading level0 row16\" >Stokes LLC</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row16_col0\" class=\"data row16 col0\" >$1,271.33</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row16_col1\" class=\"data row16 col1\" >$91,535.92</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row17\" class=\"row_heading level0 row17\" >Trantow-Barrows</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row17_col0\" class=\"data row17 col0\" >$1,312.57</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row17_col1\" class=\"data row17 col1\" >$123,381.38</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row18\" class=\"row_heading level0 row18\" >White-Trantow</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row18_col0\" class=\"data row18 col0\" >$1,579.56</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row18_col1\" class=\"data row18 col1\" >$135,841.99</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09level0_row19\" class=\"row_heading level0 row19\" >Will LLC</th>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row19_col0\" class=\"data row19 col0\" >$1,411.32</td>\n",
+       "                        <td id=\"T_6d3eedcc_740d_11e9_a800_507b9d5f4b09row19_col1\" class=\"data row19 col1\" >$104,437.60</td>\n",
+       "            </tr>\n",
+       "    </tbody></table>"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7f693b536be0>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(df.groupby('name')['ext price']\n",
+    " .agg(['mean', 'sum'])\n",
+    " .style.format('${0:,.2f}'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Round the results to 0 decimals"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style  type=\"text/css\" >\n",
+       "</style><table id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >mean</th>        <th class=\"col_heading level0 col1\" >sum</th>    </tr>    <tr>        <th class=\"index_name level0\" >name</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
+       "                <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row0\" class=\"row_heading level0 row0\" >Barton LLC</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row0_col0\" class=\"data row0 col0\" >$1,335</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row0_col1\" class=\"data row0 col1\" >$109,438</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row1\" class=\"row_heading level0 row1\" >Cronin, Oberbrunner and Spencer</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row1_col0\" class=\"data row1 col0\" >$1,339</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row1_col1\" class=\"data row1 col1\" >$89,735</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row2\" class=\"row_heading level0 row2\" >Frami, Hills and Schmidt</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row2_col0\" class=\"data row2 col0\" >$1,438</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row2_col1\" class=\"data row2 col1\" >$103,570</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row3\" class=\"row_heading level0 row3\" >Fritsch, Russel and Anderson</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row3_col0\" class=\"data row3 col0\" >$1,385</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row3_col1\" class=\"data row3 col1\" >$112,215</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row4\" class=\"row_heading level0 row4\" >Halvorson, Crona and Champlin</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row4_col0\" class=\"data row4 col0\" >$1,207</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row4_col1\" class=\"data row4 col1\" >$70,004</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row5\" class=\"row_heading level0 row5\" >Herman LLC</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row5_col0\" class=\"data row5 col0\" >$1,337</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row5_col1\" class=\"data row5 col1\" >$82,865</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row6\" class=\"row_heading level0 row6\" >Jerde-Hilpert</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row6_col0\" class=\"data row6 col0\" >$1,265</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row6_col1\" class=\"data row6 col1\" >$112,591</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row7\" class=\"row_heading level0 row7\" >Kassulke, Ondricka and Metz</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row7_col0\" class=\"data row7 col0\" >$1,351</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row7_col1\" class=\"data row7 col1\" >$86,451</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row8\" class=\"row_heading level0 row8\" >Keeling LLC</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row8_col0\" class=\"data row8 col0\" >$1,364</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row8_col1\" class=\"data row8 col1\" >$100,934</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row9\" class=\"row_heading level0 row9\" >Kiehn-Spinka</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row9_col0\" class=\"data row9 col0\" >$1,261</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row9_col1\" class=\"data row9 col1\" >$99,609</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row10\" class=\"row_heading level0 row10\" >Koepp Ltd</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row10_col0\" class=\"data row10 col0\" >$1,264</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row10_col1\" class=\"data row10 col1\" >$103,661</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row11\" class=\"row_heading level0 row11\" >Kuhn-Gusikowski</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row11_col0\" class=\"data row11 col0\" >$1,248</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row11_col1\" class=\"data row11 col1\" >$91,094</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row12\" class=\"row_heading level0 row12\" >Kulas Inc</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row12_col0\" class=\"data row12 col0\" >$1,461</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row12_col1\" class=\"data row12 col1\" >$137,352</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row13\" class=\"row_heading level0 row13\" >Pollich LLC</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row13_col0\" class=\"data row13 col0\" >$1,197</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row13_col1\" class=\"data row13 col1\" >$87,347</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row14\" class=\"row_heading level0 row14\" >Purdy-Kunde</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row14_col0\" class=\"data row14 col0\" >$1,470</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row14_col1\" class=\"data row14 col1\" >$77,898</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row15\" class=\"row_heading level0 row15\" >Sanford and Sons</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row15_col0\" class=\"data row15 col0\" >$1,392</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row15_col1\" class=\"data row15 col1\" >$98,823</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row16\" class=\"row_heading level0 row16\" >Stokes LLC</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row16_col0\" class=\"data row16 col0\" >$1,271</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row16_col1\" class=\"data row16 col1\" >$91,536</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row17\" class=\"row_heading level0 row17\" >Trantow-Barrows</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row17_col0\" class=\"data row17 col0\" >$1,313</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row17_col1\" class=\"data row17 col1\" >$123,381</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row18\" class=\"row_heading level0 row18\" >White-Trantow</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row18_col0\" class=\"data row18 col0\" >$1,580</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row18_col1\" class=\"data row18 col1\" >$135,842</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09level0_row19\" class=\"row_heading level0 row19\" >Will LLC</th>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row19_col0\" class=\"data row19 col0\" >$1,411</td>\n",
+       "                        <td id=\"T_6d424cce_740d_11e9_a800_507b9d5f4b09row19_col1\" class=\"data row19 col1\" >$104,438</td>\n",
+       "            </tr>\n",
+       "    </tbody></table>"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7f69480714a8>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(df.groupby('name')['ext price']\n",
+    " .agg(['mean', 'sum'])\n",
+    " .style.format('${0:,.0f}'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "More complex analysis of performance by month"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>sum</th>\n",
+       "      <th>pct_of_total</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2018-01-31</td>\n",
+       "      <td>185361.66</td>\n",
+       "      <td>0.091818</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2018-02-28</td>\n",
+       "      <td>146211.62</td>\n",
+       "      <td>0.072426</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2018-03-31</td>\n",
+       "      <td>203921.38</td>\n",
+       "      <td>0.101012</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2018-04-30</td>\n",
+       "      <td>174574.11</td>\n",
+       "      <td>0.086475</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2018-05-31</td>\n",
+       "      <td>165418.55</td>\n",
+       "      <td>0.081940</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2018-06-30</td>\n",
+       "      <td>174089.33</td>\n",
+       "      <td>0.086235</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2018-07-31</td>\n",
+       "      <td>191662.11</td>\n",
+       "      <td>0.094939</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2018-08-31</td>\n",
+       "      <td>153778.59</td>\n",
+       "      <td>0.076174</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2018-09-30</td>\n",
+       "      <td>168443.17</td>\n",
+       "      <td>0.083438</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2018-10-31</td>\n",
+       "      <td>171495.32</td>\n",
+       "      <td>0.084950</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2018-11-30</td>\n",
+       "      <td>119961.22</td>\n",
+       "      <td>0.059423</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2018-12-31</td>\n",
+       "      <td>163867.26</td>\n",
+       "      <td>0.081171</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         date        sum  pct_of_total\n",
+       "0  2018-01-31  185361.66      0.091818\n",
+       "1  2018-02-28  146211.62      0.072426\n",
+       "2  2018-03-31  203921.38      0.101012\n",
+       "3  2018-04-30  174574.11      0.086475\n",
+       "4  2018-05-31  165418.55      0.081940\n",
+       "5  2018-06-30  174089.33      0.086235\n",
+       "6  2018-07-31  191662.11      0.094939\n",
+       "7  2018-08-31  153778.59      0.076174\n",
+       "8  2018-09-30  168443.17      0.083438\n",
+       "9  2018-10-31  171495.32      0.084950\n",
+       "10 2018-11-30  119961.22      0.059423\n",
+       "11 2018-12-31  163867.26      0.081171"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "monthly_sales = df.groupby([pd.Grouper(key='date', freq='M')])['ext price'].agg(['sum']).reset_index()\n",
+    "monthly_sales['pct_of_total'] = monthly_sales['sum'] / df['ext price'].sum()\n",
+    "monthly_sales"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Use a format dictionary to control formatting per column"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style  type=\"text/css\" >\n",
+       "</style><table id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >date</th>        <th class=\"col_heading level0 col1\" >sum</th>        <th class=\"col_heading level0 col2\" >pct_of_total</th>    </tr></thead><tbody>\n",
+       "                <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row0_col0\" class=\"data row0 col0\" >01-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row0_col1\" class=\"data row0 col1\" >$185,362</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row0_col2\" class=\"data row0 col2\" >9.18%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row1_col0\" class=\"data row1 col0\" >02-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row1_col1\" class=\"data row1 col1\" >$146,212</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row1_col2\" class=\"data row1 col2\" >7.24%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row2_col0\" class=\"data row2 col0\" >03-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row2_col1\" class=\"data row2 col1\" >$203,921</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row2_col2\" class=\"data row2 col2\" >10.10%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row3_col0\" class=\"data row3 col0\" >04-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row3_col1\" class=\"data row3 col1\" >$174,574</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row3_col2\" class=\"data row3 col2\" >8.65%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row4_col0\" class=\"data row4 col0\" >05-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row4_col1\" class=\"data row4 col1\" >$165,419</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row4_col2\" class=\"data row4 col2\" >8.19%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row5_col0\" class=\"data row5 col0\" >06-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row5_col1\" class=\"data row5 col1\" >$174,089</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row5_col2\" class=\"data row5 col2\" >8.62%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row6_col0\" class=\"data row6 col0\" >07-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row6_col1\" class=\"data row6 col1\" >$191,662</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row6_col2\" class=\"data row6 col2\" >9.49%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row7_col0\" class=\"data row7 col0\" >08-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row7_col1\" class=\"data row7 col1\" >$153,779</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row7_col2\" class=\"data row7 col2\" >7.62%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row8_col0\" class=\"data row8 col0\" >09-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row8_col1\" class=\"data row8 col1\" >$168,443</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row8_col2\" class=\"data row8 col2\" >8.34%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row9_col0\" class=\"data row9 col0\" >10-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row9_col1\" class=\"data row9 col1\" >$171,495</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row9_col2\" class=\"data row9 col2\" >8.49%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row10_col0\" class=\"data row10 col0\" >11-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row10_col1\" class=\"data row10 col1\" >$119,961</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row10_col2\" class=\"data row10 col2\" >5.94%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row11_col0\" class=\"data row11 col0\" >12-2018</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row11_col1\" class=\"data row11 col1\" >$163,867</td>\n",
+       "                        <td id=\"T_6d53ae88_740d_11e9_a800_507b9d5f4b09row11_col2\" class=\"data row11 col2\" >8.12%</td>\n",
+       "            </tr>\n",
+       "    </tbody></table>"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7f693a8c0a20>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "format_dict = {'sum':'${0:,.0f}', 'date': '{:%m-%Y}', 'pct_of_total': '{:.2%}'}\n",
+    "monthly_sales.style.format(format_dict).hide_index()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Introduce the highlight functions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style  type=\"text/css\" >\n",
+       "    #T_6d64e158_740d_11e9_a800_507b9d5f4b09row2_col1 {\n",
+       "            background-color:  lightgreen;\n",
+       "            : ;\n",
+       "        }    #T_6d64e158_740d_11e9_a800_507b9d5f4b09row2_col2 {\n",
+       "            background-color:  lightgreen;\n",
+       "            : ;\n",
+       "        }    #T_6d64e158_740d_11e9_a800_507b9d5f4b09row10_col1 {\n",
+       "            : ;\n",
+       "            background-color:  #cd4f39;\n",
+       "        }    #T_6d64e158_740d_11e9_a800_507b9d5f4b09row10_col2 {\n",
+       "            : ;\n",
+       "            background-color:  #cd4f39;\n",
+       "        }</style><table id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >date</th>        <th class=\"col_heading level0 col1\" >sum</th>        <th class=\"col_heading level0 col2\" >pct_of_total</th>    </tr></thead><tbody>\n",
+       "                <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row0_col0\" class=\"data row0 col0\" >01-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row0_col1\" class=\"data row0 col1\" >$185,362</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row0_col2\" class=\"data row0 col2\" >9.18%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row1_col0\" class=\"data row1 col0\" >02-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row1_col1\" class=\"data row1 col1\" >$146,212</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row1_col2\" class=\"data row1 col2\" >7.24%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row2_col0\" class=\"data row2 col0\" >03-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row2_col1\" class=\"data row2 col1\" >$203,921</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row2_col2\" class=\"data row2 col2\" >10.10%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row3_col0\" class=\"data row3 col0\" >04-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row3_col1\" class=\"data row3 col1\" >$174,574</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row3_col2\" class=\"data row3 col2\" >8.65%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row4_col0\" class=\"data row4 col0\" >05-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row4_col1\" class=\"data row4 col1\" >$165,419</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row4_col2\" class=\"data row4 col2\" >8.19%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row5_col0\" class=\"data row5 col0\" >06-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row5_col1\" class=\"data row5 col1\" >$174,089</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row5_col2\" class=\"data row5 col2\" >8.62%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row6_col0\" class=\"data row6 col0\" >07-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row6_col1\" class=\"data row6 col1\" >$191,662</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row6_col2\" class=\"data row6 col2\" >9.49%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row7_col0\" class=\"data row7 col0\" >08-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row7_col1\" class=\"data row7 col1\" >$153,779</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row7_col2\" class=\"data row7 col2\" >7.62%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row8_col0\" class=\"data row8 col0\" >09-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row8_col1\" class=\"data row8 col1\" >$168,443</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row8_col2\" class=\"data row8 col2\" >8.34%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row9_col0\" class=\"data row9 col0\" >10-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row9_col1\" class=\"data row9 col1\" >$171,495</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row9_col2\" class=\"data row9 col2\" >8.49%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row10_col0\" class=\"data row10 col0\" >11-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row10_col1\" class=\"data row10 col1\" >$119,961</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row10_col2\" class=\"data row10 col2\" >5.94%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row11_col0\" class=\"data row11 col0\" >12-2018</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row11_col1\" class=\"data row11 col1\" >$163,867</td>\n",
+       "                        <td id=\"T_6d64e158_740d_11e9_a800_507b9d5f4b09row11_col2\" class=\"data row11 col2\" >8.12%</td>\n",
+       "            </tr>\n",
+       "    </tbody></table>"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7f693a8c0ef0>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(monthly_sales\n",
+    " .style\n",
+    " .format(format_dict)\n",
+    " .hide_index()\n",
+    " .highlight_max(color='lightgreen')\n",
+    " .highlight_min(color='#cd4f39'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Introduce bar formatting for table cells"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style  type=\"text/css\" >\n",
+       "    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row0_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 95.4%, transparent 95.4%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row0_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 95.4%, transparent 95.4%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row1_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 85.8%, transparent 85.8%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row1_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 85.8%, transparent 85.8%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row2_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 100.0%, transparent 100.0%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row2_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 100.0%, transparent 100.0%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row3_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 92.8%, transparent 92.8%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row3_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 92.8%, transparent 92.8%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row4_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 90.6%, transparent 90.6%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row4_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 90.6%, transparent 90.6%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row5_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 92.7%, transparent 92.7%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row5_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 92.7%, transparent 92.7%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row6_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 97.0%, transparent 97.0%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row6_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 97.0%, transparent 97.0%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row7_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 87.7%, transparent 87.7%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row7_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 87.7%, transparent 87.7%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row8_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 91.3%, transparent 91.3%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row8_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 91.3%, transparent 91.3%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row9_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 92.0%, transparent 92.0%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row9_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 92.0%, transparent 92.0%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row10_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 79.4%, transparent 79.4%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row10_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 79.4%, transparent 79.4%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row11_col1 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, #FFA07A 50.0%, #FFA07A 90.2%, transparent 90.2%);\n",
+       "        }    #T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row11_col2 {\n",
+       "            width:  10em;\n",
+       "             height:  80%;\n",
+       "            background:  linear-gradient(90deg, transparent 50.0%, lightgreen 50.0%, lightgreen 90.2%, transparent 90.2%);\n",
+       "        }</style><table id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09\" ><caption>2018 Sales Performance</caption><thead>    <tr>        <th class=\"col_heading level0 col0\" >date</th>        <th class=\"col_heading level0 col1\" >sum</th>        <th class=\"col_heading level0 col2\" >pct_of_total</th>    </tr></thead><tbody>\n",
+       "                <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row0_col0\" class=\"data row0 col0\" >01-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row0_col1\" class=\"data row0 col1\" >$185,362</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row0_col2\" class=\"data row0 col2\" >9.18%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row1_col0\" class=\"data row1 col0\" >02-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row1_col1\" class=\"data row1 col1\" >$146,212</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row1_col2\" class=\"data row1 col2\" >7.24%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row2_col0\" class=\"data row2 col0\" >03-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row2_col1\" class=\"data row2 col1\" >$203,921</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row2_col2\" class=\"data row2 col2\" >10.10%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row3_col0\" class=\"data row3 col0\" >04-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row3_col1\" class=\"data row3 col1\" >$174,574</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row3_col2\" class=\"data row3 col2\" >8.65%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row4_col0\" class=\"data row4 col0\" >05-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row4_col1\" class=\"data row4 col1\" >$165,419</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row4_col2\" class=\"data row4 col2\" >8.19%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row5_col0\" class=\"data row5 col0\" >06-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row5_col1\" class=\"data row5 col1\" >$174,089</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row5_col2\" class=\"data row5 col2\" >8.62%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row6_col0\" class=\"data row6 col0\" >07-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row6_col1\" class=\"data row6 col1\" >$191,662</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row6_col2\" class=\"data row6 col2\" >9.49%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row7_col0\" class=\"data row7 col0\" >08-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row7_col1\" class=\"data row7 col1\" >$153,779</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row7_col2\" class=\"data row7 col2\" >7.62%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row8_col0\" class=\"data row8 col0\" >09-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row8_col1\" class=\"data row8 col1\" >$168,443</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row8_col2\" class=\"data row8 col2\" >8.34%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row9_col0\" class=\"data row9 col0\" >10-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row9_col1\" class=\"data row9 col1\" >$171,495</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row9_col2\" class=\"data row9 col2\" >8.49%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row10_col0\" class=\"data row10 col0\" >11-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row10_col1\" class=\"data row10 col1\" >$119,961</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row10_col2\" class=\"data row10 col2\" >5.94%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                                <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row11_col0\" class=\"data row11 col0\" >12-2018</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row11_col1\" class=\"data row11 col1\" >$163,867</td>\n",
+       "                        <td id=\"T_6d6cde1c_740d_11e9_a800_507b9d5f4b09row11_col2\" class=\"data row11 col2\" >8.12%</td>\n",
+       "            </tr>\n",
+       "    </tbody></table>"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7f693b54b630>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(monthly_sales\n",
+    " .style\n",
+    " .format(format_dict)\n",
+    " .hide_index()\n",
+    ".bar(color='#FFA07A', vmin=100_000, subset=['sum'], align='zero')\n",
+    ".bar(color='lightgreen', vmin=0, subset=['pct_of_total'], align='zero')\n",
+    ".set_caption('2018 Sales Performance'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style  type=\"text/css\" >\n",
+       "    #T_6d704570_740d_11e9_a800_507b9d5f4b09row0_col1 {\n",
+       "            background-color:  #1a843f;\n",
+       "            color:  #000000;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row1_col1 {\n",
+       "            background-color:  #b2e2d7;\n",
+       "            color:  #000000;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row2_col1 {\n",
+       "            background-color:  #00441b;\n",
+       "            color:  #f1f1f1;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row3_col1 {\n",
+       "            background-color:  #3ba76c;\n",
+       "            color:  #000000;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row4_col1 {\n",
+       "            background-color:  #5abb95;\n",
+       "            color:  #000000;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row5_col1 {\n",
+       "            background-color:  #3ca86d;\n",
+       "            color:  #000000;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row6_col1 {\n",
+       "            background-color:  #067230;\n",
+       "            color:  #f1f1f1;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row7_col1 {\n",
+       "            background-color:  #8dd3c0;\n",
+       "            color:  #000000;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row8_col1 {\n",
+       "            background-color:  #4fb688;\n",
+       "            color:  #000000;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row9_col1 {\n",
+       "            background-color:  #44af79;\n",
+       "            color:  #000000;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row10_col1 {\n",
+       "            background-color:  #f7fcfd;\n",
+       "            color:  #000000;\n",
+       "        }    #T_6d704570_740d_11e9_a800_507b9d5f4b09row11_col1 {\n",
+       "            background-color:  #60bf9c;\n",
+       "            color:  #000000;\n",
+       "        }</style><table id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >date</th>        <th class=\"col_heading level0 col1\" >sum</th>        <th class=\"col_heading level0 col2\" >pct_of_total</th>    </tr></thead><tbody>\n",
+       "                <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row0_col0\" class=\"data row0 col0\" >01-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row0_col1\" class=\"data row0 col1\" >$185,362</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row0_col2\" class=\"data row0 col2\" >9.18%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row1_col0\" class=\"data row1 col0\" >02-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row1_col1\" class=\"data row1 col1\" >$146,212</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row1_col2\" class=\"data row1 col2\" >7.24%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row2_col0\" class=\"data row2 col0\" >03-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row2_col1\" class=\"data row2 col1\" >$203,921</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row2_col2\" class=\"data row2 col2\" >10.10%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row3_col0\" class=\"data row3 col0\" >04-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row3_col1\" class=\"data row3 col1\" >$174,574</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row3_col2\" class=\"data row3 col2\" >8.65%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row4_col0\" class=\"data row4 col0\" >05-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row4_col1\" class=\"data row4 col1\" >$165,419</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row4_col2\" class=\"data row4 col2\" >8.19%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row5_col0\" class=\"data row5 col0\" >06-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row5_col1\" class=\"data row5 col1\" >$174,089</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row5_col2\" class=\"data row5 col2\" >8.62%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row6_col0\" class=\"data row6 col0\" >07-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row6_col1\" class=\"data row6 col1\" >$191,662</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row6_col2\" class=\"data row6 col2\" >9.49%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row7_col0\" class=\"data row7 col0\" >08-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row7_col1\" class=\"data row7 col1\" >$153,779</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row7_col2\" class=\"data row7 col2\" >7.62%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row8_col0\" class=\"data row8 col0\" >09-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row8_col1\" class=\"data row8 col1\" >$168,443</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row8_col2\" class=\"data row8 col2\" >8.34%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row9_col0\" class=\"data row9 col0\" >10-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row9_col1\" class=\"data row9 col1\" >$171,495</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row9_col2\" class=\"data row9 col2\" >8.49%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row10_col0\" class=\"data row10 col0\" >11-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row10_col1\" class=\"data row10 col1\" >$119,961</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row10_col2\" class=\"data row10 col2\" >5.94%</td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                        <th id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row11_col0\" class=\"data row11 col0\" >12-2018</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row11_col1\" class=\"data row11 col1\" >$163,867</td>\n",
+       "                        <td id=\"T_6d704570_740d_11e9_a800_507b9d5f4b09row11_col2\" class=\"data row11 col2\" >8.12%</td>\n",
+       "            </tr>\n",
+       "    </tbody></table>"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7f693b519da0>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(monthly_sales.style\n",
+    " .format(format_dict)\n",
+    " .background_gradient(subset=['sum'],cmap='BuGn'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Cool example of using sparklines from Peter Baumgartner\n",
+    "https://twitter.com/pmbaumgartner/status/1084645440224559104"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def sparkline_str(x):\n",
+    "    bins=np.histogram(x)[0]\n",
+    "    sl = ''.join(sparklines(bins))\n",
+    "    return sl\n",
+    "sparkline_str.__name__ = \"sparkline\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th colspan=\"2\" halign=\"left\">quantity</th>\n",
+       "      <th colspan=\"2\" halign=\"left\">ext price</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sparkline</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sparkline</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Barton LLC</th>\n",
+       "      <td>24.890244</td>\n",
+       "      <td>▄▄▃▂▃▆▄█▁▄</td>\n",
+       "      <td>1334.615854</td>\n",
+       "      <td>█▄▃▆▄▄▁▁▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Cronin, Oberbrunner and Spencer</th>\n",
+       "      <td>24.970149</td>\n",
+       "      <td>█▄▁▄▄▇▅▁▄▄</td>\n",
+       "      <td>1339.321642</td>\n",
+       "      <td>█▅▅▃▃▃▂▂▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Frami, Hills and Schmidt</th>\n",
+       "      <td>26.430556</td>\n",
+       "      <td>▄▄▁▂▇█▂▂▅▅</td>\n",
+       "      <td>1438.466528</td>\n",
+       "      <td>█▅▄▇▅▃▄▁▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Fritsch, Russel and Anderson</th>\n",
+       "      <td>26.074074</td>\n",
+       "      <td>▁▄▇▃▂▂█▃▄▄</td>\n",
+       "      <td>1385.366790</td>\n",
+       "      <td>▇█▃▄▂▂▁▂▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Halvorson, Crona and Champlin</th>\n",
+       "      <td>22.137931</td>\n",
+       "      <td>▇▆▆▇█▁▄▂▄▃</td>\n",
+       "      <td>1206.971724</td>\n",
+       "      <td>██▆▅▁▃▂▂▂▂</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Herman LLC</th>\n",
+       "      <td>24.806452</td>\n",
+       "      <td>▄▃▅▁▆▄▂▆▃█</td>\n",
+       "      <td>1336.532258</td>\n",
+       "      <td>█▅▇▄▅▄▁▃▂▂</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Jerde-Hilpert</th>\n",
+       "      <td>22.460674</td>\n",
+       "      <td>▄▄█▁▂▅▃▂▄▃</td>\n",
+       "      <td>1265.072247</td>\n",
+       "      <td>█▄▅▂▁▂▃▂▂▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kassulke, Ondricka and Metz</th>\n",
+       "      <td>25.734375</td>\n",
+       "      <td>▂▂▁▁▂▂▁▅▄█</td>\n",
+       "      <td>1350.797969</td>\n",
+       "      <td>█▆▆▄▄▃▂▁▁▂</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Keeling LLC</th>\n",
+       "      <td>24.405405</td>\n",
+       "      <td>▁▄▇▃▅█▃▄▃▆</td>\n",
+       "      <td>1363.977027</td>\n",
+       "      <td>▅█▆▃▄▂▂▁▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kiehn-Spinka</th>\n",
+       "      <td>22.227848</td>\n",
+       "      <td>▃▂█▂▃▅▄▁▄▁</td>\n",
+       "      <td>1260.870506</td>\n",
+       "      <td>█▇▄▃▃▂▁▂▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Koepp Ltd</th>\n",
+       "      <td>21.829268</td>\n",
+       "      <td>▅▇█▆▄▇▅▁▅▇</td>\n",
+       "      <td>1264.152927</td>\n",
+       "      <td>█▇▅▂▄▂▂▂▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kuhn-Gusikowski</th>\n",
+       "      <td>22.808219</td>\n",
+       "      <td>▂▄█▄▃▁█▄▂▄</td>\n",
+       "      <td>1247.866849</td>\n",
+       "      <td>▆█▄▃▃▃▃▁▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Kulas Inc</th>\n",
+       "      <td>24.095745</td>\n",
+       "      <td>▇▃▇▂▇▁▅▆█▆</td>\n",
+       "      <td>1461.191064</td>\n",
+       "      <td>█▅█▂▄▄▄▂▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pollich LLC</th>\n",
+       "      <td>23.383562</td>\n",
+       "      <td>█▂▅▂▃▆▁▂▄▇</td>\n",
+       "      <td>1196.536712</td>\n",
+       "      <td>█▆▆▃▃▃▂▂▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Purdy-Kunde</th>\n",
+       "      <td>27.358491</td>\n",
+       "      <td>▄▅█▁▄▇▅█▇█</td>\n",
+       "      <td>1469.777547</td>\n",
+       "      <td>█▅▄▃▄▃▃▂▁▂</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sanford and Sons</th>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>▂▂▂▆▁█▂▂▁▅</td>\n",
+       "      <td>1391.872958</td>\n",
+       "      <td>▅▇█▃▃▄▁▃▁▂</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Stokes LLC</th>\n",
+       "      <td>24.527778</td>\n",
+       "      <td>▄▄▄▁▃▂▄█▄▄</td>\n",
+       "      <td>1271.332222</td>\n",
+       "      <td>█▇▆▆▄▂▂▃▁▂</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Trantow-Barrows</th>\n",
+       "      <td>24.159574</td>\n",
+       "      <td>▅▄▅▂▃▃▄▄▁█</td>\n",
+       "      <td>1312.567872</td>\n",
+       "      <td>█▇▅▆▃▂▂▁▁▁</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White-Trantow</th>\n",
+       "      <td>26.255814</td>\n",
+       "      <td>▃▂▆▆▃██▁██</td>\n",
+       "      <td>1579.558023</td>\n",
+       "      <td>▄█▆▅▄▃▄▂▁▃</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Will LLC</th>\n",
+       "      <td>24.702703</td>\n",
+       "      <td>▂█▁▄▄▄▂▅▅▄</td>\n",
+       "      <td>1411.318919</td>\n",
+       "      <td>▆█▄▅▄▂▁▂▁▂</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                  quantity                ext price  \\\n",
+       "                                      mean   sparkline         mean   \n",
+       "name                                                                  \n",
+       "Barton LLC                       24.890244  ▄▄▃▂▃▆▄█▁▄  1334.615854   \n",
+       "Cronin, Oberbrunner and Spencer  24.970149  █▄▁▄▄▇▅▁▄▄  1339.321642   \n",
+       "Frami, Hills and Schmidt         26.430556  ▄▄▁▂▇█▂▂▅▅  1438.466528   \n",
+       "Fritsch, Russel and Anderson     26.074074  ▁▄▇▃▂▂█▃▄▄  1385.366790   \n",
+       "Halvorson, Crona and Champlin    22.137931  ▇▆▆▇█▁▄▂▄▃  1206.971724   \n",
+       "Herman LLC                       24.806452  ▄▃▅▁▆▄▂▆▃█  1336.532258   \n",
+       "Jerde-Hilpert                    22.460674  ▄▄█▁▂▅▃▂▄▃  1265.072247   \n",
+       "Kassulke, Ondricka and Metz      25.734375  ▂▂▁▁▂▂▁▅▄█  1350.797969   \n",
+       "Keeling LLC                      24.405405  ▁▄▇▃▅█▃▄▃▆  1363.977027   \n",
+       "Kiehn-Spinka                     22.227848  ▃▂█▂▃▅▄▁▄▁  1260.870506   \n",
+       "Koepp Ltd                        21.829268  ▅▇█▆▄▇▅▁▅▇  1264.152927   \n",
+       "Kuhn-Gusikowski                  22.808219  ▂▄█▄▃▁█▄▂▄  1247.866849   \n",
+       "Kulas Inc                        24.095745  ▇▃▇▂▇▁▅▆█▆  1461.191064   \n",
+       "Pollich LLC                      23.383562  █▂▅▂▃▆▁▂▄▇  1196.536712   \n",
+       "Purdy-Kunde                      27.358491  ▄▅█▁▄▇▅█▇█  1469.777547   \n",
+       "Sanford and Sons                 24.000000  ▂▂▂▆▁█▂▂▁▅  1391.872958   \n",
+       "Stokes LLC                       24.527778  ▄▄▄▁▃▂▄█▄▄  1271.332222   \n",
+       "Trantow-Barrows                  24.159574  ▅▄▅▂▃▃▄▄▁█  1312.567872   \n",
+       "White-Trantow                    26.255814  ▃▂▆▆▃██▁██  1579.558023   \n",
+       "Will LLC                         24.702703  ▂█▁▄▄▄▂▅▅▄  1411.318919   \n",
+       "\n",
+       "                                             \n",
+       "                                  sparkline  \n",
+       "name                                         \n",
+       "Barton LLC                       █▄▃▆▄▄▁▁▁▁  \n",
+       "Cronin, Oberbrunner and Spencer  █▅▅▃▃▃▂▂▁▁  \n",
+       "Frami, Hills and Schmidt         █▅▄▇▅▃▄▁▁▁  \n",
+       "Fritsch, Russel and Anderson     ▇█▃▄▂▂▁▂▁▁  \n",
+       "Halvorson, Crona and Champlin    ██▆▅▁▃▂▂▂▂  \n",
+       "Herman LLC                       █▅▇▄▅▄▁▃▂▂  \n",
+       "Jerde-Hilpert                    █▄▅▂▁▂▃▂▂▁  \n",
+       "Kassulke, Ondricka and Metz      █▆▆▄▄▃▂▁▁▂  \n",
+       "Keeling LLC                      ▅█▆▃▄▂▂▁▁▁  \n",
+       "Kiehn-Spinka                     █▇▄▃▃▂▁▂▁▁  \n",
+       "Koepp Ltd                        █▇▅▂▄▂▂▂▁▁  \n",
+       "Kuhn-Gusikowski                  ▆█▄▃▃▃▃▁▁▁  \n",
+       "Kulas Inc                        █▅█▂▄▄▄▂▁▁  \n",
+       "Pollich LLC                      █▆▆▃▃▃▂▂▁▁  \n",
+       "Purdy-Kunde                      █▅▄▃▄▃▃▂▁▂  \n",
+       "Sanford and Sons                 ▅▇█▃▃▄▁▃▁▂  \n",
+       "Stokes LLC                       █▇▆▆▄▂▂▃▁▂  \n",
+       "Trantow-Barrows                  █▇▅▆▃▂▂▁▁▁  \n",
+       "White-Trantow                    ▄█▆▅▄▃▄▂▁▃  \n",
+       "Will LLC                         ▆█▄▅▄▂▁▂▁▂  "
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby('name')['quantity', 'ext price'].agg(['mean', sparkline_str])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/pdvega.ipynb b/notebooks/pdvega.ipynb
new file mode 100644
index 0000000..9f0a0ef
--- /dev/null
+++ b/notebooks/pdvega.ipynb
@@ -0,0 +1,1307 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Introduction to pdvega\n",
+    "Full article at [pbpython.com](http://pbpython.com/pdvega.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import pdvega"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Read in the FiveThirtyEight data on candy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"https://github.com/fivethirtyeight/data/blob/master/candy-power-ranking/candy-data.csv?raw=True\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Clean up broken apostrophe\n",
+    "df['competitorname'].replace(regex=True,inplace=True,to_replace=r'Õ',value=r\"'\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>competitorname</th>\n",
+       "      <th>chocolate</th>\n",
+       "      <th>fruity</th>\n",
+       "      <th>caramel</th>\n",
+       "      <th>peanutyalmondy</th>\n",
+       "      <th>nougat</th>\n",
+       "      <th>crispedricewafer</th>\n",
+       "      <th>hard</th>\n",
+       "      <th>bar</th>\n",
+       "      <th>pluribus</th>\n",
+       "      <th>sugarpercent</th>\n",
+       "      <th>pricepercent</th>\n",
+       "      <th>winpercent</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>100 Grand</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.732</td>\n",
+       "      <td>0.860</td>\n",
+       "      <td>66.971725</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3 Musketeers</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.604</td>\n",
+       "      <td>0.511</td>\n",
+       "      <td>67.602936</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>One dime</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.116</td>\n",
+       "      <td>32.261086</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>One quarter</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.511</td>\n",
+       "      <td>46.116505</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Air Heads</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.906</td>\n",
+       "      <td>0.511</td>\n",
+       "      <td>52.341465</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  competitorname  chocolate  fruity  caramel  peanutyalmondy  nougat  \\\n",
+       "0      100 Grand          1       0        1               0       0   \n",
+       "1   3 Musketeers          1       0        0               0       1   \n",
+       "2       One dime          0       0        0               0       0   \n",
+       "3    One quarter          0       0        0               0       0   \n",
+       "4      Air Heads          0       1        0               0       0   \n",
+       "\n",
+       "   crispedricewafer  hard  bar  pluribus  sugarpercent  pricepercent  \\\n",
+       "0                 1     0    1         0         0.732         0.860   \n",
+       "1                 0     0    1         0         0.604         0.511   \n",
+       "2                 0     0    0         0         0.011         0.116   \n",
+       "3                 0     0    0         0         0.011         0.511   \n",
+       "4                 0     0    0         0         0.906         0.511   \n",
+       "\n",
+       "   winpercent  \n",
+       "0   66.971725  \n",
+       "1   67.602936  \n",
+       "2   32.261086  \n",
+       "3   46.116505  \n",
+       "4   52.341465  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Try a pandas plot first"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f73b242b780>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f73b2ca2908>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df[\"winpercent\"].plot.hist()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Try the same thing using pdvega"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"vega-embed\" id=\"b62dbcb2-b1b8-4142-b41b-ecac9c4a4a06\"></div>\n",
+       "\n",
+       "<style>\n",
+       ".vega-embed svg, .vega-embed canvas {\n",
+       "  border: 1px dotted gray;\n",
+       "}\n",
+       "\n",
+       ".vega-embed .vega-actions a {\n",
+       "  margin-right: 6px;\n",
+       "}\n",
+       "</style>\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#b62dbcb2-b1b8-4142-b41b-ecac9c4a4a06"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"winpercent\", \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"winpercent\": 66.971725}, {\"winpercent\": 67.602936}, {\"winpercent\": 32.261086}, {\"winpercent\": 46.116505}, {\"winpercent\": 52.341465}, {\"winpercent\": 50.347546}, {\"winpercent\": 56.914547}, {\"winpercent\": 23.417824}, {\"winpercent\": 38.010963000000004}, {\"winpercent\": 34.517681}, {\"winpercent\": 38.975037}, {\"winpercent\": 36.017628}, {\"winpercent\": 24.524988}, {\"winpercent\": 42.272076}, {\"winpercent\": 39.460556}, {\"winpercent\": 43.088924}, {\"winpercent\": 39.185505}, {\"winpercent\": 46.783348}, {\"winpercent\": 57.11974}, {\"winpercent\": 34.158958}, {\"winpercent\": 51.41243}, {\"winpercent\": 42.178771999999995}, {\"winpercent\": 55.375454000000005}, {\"winpercent\": 62.28448100000001}, {\"winpercent\": 56.490501}, {\"winpercent\": 59.236121999999995}, {\"winpercent\": 28.127439000000003}, {\"winpercent\": 57.21925}, {\"winpercent\": 76.7686}, {\"winpercent\": 41.389557}, {\"winpercent\": 39.141056}, {\"winpercent\": 52.911392000000006}, {\"winpercent\": 71.46505}, {\"winpercent\": 66.574585}, {\"winpercent\": 46.411716}, {\"winpercent\": 55.064071999999996}, {\"winpercent\": 73.099556}, {\"winpercent\": 60.800701000000004}, {\"winpercent\": 64.35334}, {\"winpercent\": 47.829754}, {\"winpercent\": 54.526451}, {\"winpercent\": 55.354046}, {\"winpercent\": 70.735641}, {\"winpercent\": 66.47068}, {\"winpercent\": 22.445341}, {\"winpercent\": 39.4468}, {\"winpercent\": 46.296597}, {\"winpercent\": 69.483788}, {\"winpercent\": 37.722336}, {\"winpercent\": 41.265511}, {\"winpercent\": 37.348521999999996}, {\"winpercent\": 81.86625699999999}, {\"winpercent\": 84.18029}, {\"winpercent\": 73.43499}, {\"winpercent\": 72.887901}, {\"winpercent\": 35.290756}, {\"winpercent\": 65.716286}, {\"winpercent\": 29.703691}, {\"winpercent\": 42.849144}, {\"winpercent\": 34.722}, {\"winpercent\": 63.08514}, {\"winpercent\": 55.103694999999995}, {\"winpercent\": 37.887188}, {\"winpercent\": 45.995827}, {\"winpercent\": 76.67378199999999}, {\"winpercent\": 59.529251}, {\"winpercent\": 59.863997999999995}, {\"winpercent\": 52.825947}, {\"winpercent\": 67.037628}, {\"winpercent\": 34.578990999999995}, {\"winpercent\": 33.43755}, {\"winpercent\": 32.230995}, {\"winpercent\": 27.303865000000002}, {\"winpercent\": 54.861111}, {\"winpercent\": 48.982651000000004}, {\"winpercent\": 43.068897}, {\"winpercent\": 45.736748}, {\"winpercent\": 49.653503}, {\"winpercent\": 47.173229}, {\"winpercent\": 81.642914}, {\"winpercent\": 45.466282}, {\"winpercent\": 39.011897999999995}, {\"winpercent\": 44.375519}, {\"winpercent\": 41.904308}, {\"winpercent\": 49.524113}]}};\n",
+       "var selector = \"#b62dbcb2-b1b8-4142-b41b-ecac9c4a4a06\";\n",
+       "var type = \"vega-lite\";\n",
+       "\n",
+       "var output_area = this;\n",
+       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
+       "  vega.render(selector, spec, type, output_area);\n",
+       "}, function (err) {\n",
+       "  if (err.requireType !== 'scripterror') {\n",
+       "    throw(err);\n",
+       "  }\n",
+       "});\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#b62dbcb2-b1b8-4142-b41b-ecac9c4a4a06"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {
+      "jupyter-vega3": "#b62dbcb2-b1b8-4142-b41b-ecac9c4a4a06"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df[\"winpercent\"].vgplot.hist()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "KDE plots work as expected"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"vega-embed\" id=\"67daf076-9e86-498b-aea1-125efb74fabf\"></div>\n",
+       "\n",
+       "<style>\n",
+       ".vega-embed svg, .vega-embed canvas {\n",
+       "  border: 1px dotted gray;\n",
+       "}\n",
+       "\n",
+       ".vega-embed .vega-actions a {\n",
+       "  margin-right: 6px;\n",
+       "}\n",
+       "</style>\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#67daf076-9e86-498b-aea1-125efb74fabf"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "var spec = {\"mark\": \"line\", \"encoding\": {\"x\": {\"field\": \" \", \"type\": \"quantitative\"}, \"y\": {\"field\": \"sugarpercent\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\" \": -0.47749999, \"sugarpercent\": 1.982309843266378e-05}, {\" \": -0.4755440340840841, \"sugarpercent\": 2.13218119357448e-05}, {\" \": -0.47358807816816817, \"sugarpercent\": 2.2927634675353772e-05}, {\" \": -0.47163212225225226, \"sugarpercent\": 2.464773441747856e-05}, {\" \": -0.4696761663363363, \"sugarpercent\": 2.6489722008843256e-05}, {\" \": -0.4677202104204204, \"sugarpercent\": 2.846167614720522e-05}, {\" \": -0.4657642545045045, \"sugarpercent\": 3.0572169358217606e-05}, {\" \": -0.4638082985885886, \"sugarpercent\": 3.2830295226084e-05}, {\" \": -0.46185234267267267, \"sugarpercent\": 3.52456969263606e-05}, {\" \": -0.45989638675675676, \"sugarpercent\": 3.782859711036679e-05}, {\" \": -0.45794043084084085, \"sugarpercent\": 4.0589829191742945e-05}, {\" \": -0.4559844749249249, \"sugarpercent\": 4.3540870086754076e-05}, {\" \": -0.454028519009009, \"sugarpercent\": 4.669387446095071e-05}, {\" \": -0.45207256309309307, \"sugarpercent\": 5.006171053578692e-05}, {\" \": -0.45011660717717716, \"sugarpercent\": 5.365799750973365e-05}, {\" \": -0.44816065126126126, \"sugarpercent\": 5.749714464931798e-05}, {\" \": -0.44620469534534535, \"sugarpercent\": 6.159439210636038e-05}, {\" \": -0.44424873942942944, \"sugarpercent\": 6.59658535184623e-05}, {\" \": -0.44229278351351353, \"sugarpercent\": 7.062856045051536e-05}, {\" \": -0.44033682759759757, \"sugarpercent\": 7.5600508735649e-05}, {\" \": -0.43838087168168166, \"sugarpercent\": 8.090070677460301e-05}, {\" \": -0.43642491576576575, \"sugarpercent\": 8.654922585300352e-05}, {\" \": 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+       "var selector = \"#67daf076-9e86-498b-aea1-125efb74fabf\";\n",
+       "var type = \"vega-lite\";\n",
+       "\n",
+       "var output_area = this;\n",
+       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
+       "  vega.render(selector, spec, type, output_area);\n",
+       "}, function (err) {\n",
+       "  if (err.requireType !== 'scripterror') {\n",
+       "    throw(err);\n",
+       "  }\n",
+       "});\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#67daf076-9e86-498b-aea1-125efb74fabf"
+     },
+     "output_type": "display_data"
+    },
+    {
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CX3acxct4JIeQnXmG9qvwsShN87EowdnrfeZogq+TA5ms+JwwmSpacuGyORaZnR9XvWwfNRC77mNV/hUZ2q/KxyLxNh+L0Nt3rc8cXRD81wG3AAcADwEXN4VlIXAzILub/SvwHnnJahc6Oy3PklqHABSZnW+CrxWF6npURYb2fRYBvUgVt2QcizPsNArhguB/CRgHHgbuAm4D7muo9ihwOrAKeCPwYeBsE3ydxGhnpd8bnsZwvu/Df+VmWHrrVeZi3qH9Kn1MT27/kuZjXnK9w7Hbgr8IeAxYGiE9DzgJuLIB8R8C/xe4Nfq3J4FXmODrJK8JfmsCGsP5Jvg6OVq1UMUjO2TYa79qH/OQNR/zUJt/jc8cuy34hwGTwIkR1pOBS4DzGzC/A5Be/rnA64G/BV4MPN0qfDakb0mtQSDv3vnN9/b54aDBUcNG1Qzz7LVftY95uJqPeaiZ4OtQm7XSLPhvAS4C3tVwkwHgOuBNwNeBYeANJviaYeitpNYgEx+Fm3XvfBN8Dfr72+iGUGXda78bPmYlbT5mJda6vM8cu93Dlwl5jwNHRmilJ38CcFWb0MjEvr+Ph/Tr9fraMAyvbi67cuVKncialb4k8Hc7dnLLXz3OEYc+jzXvfG1fMrBKw82ff5xHn9zJq176Qi4dPsqQGAGvCCxdunSevndb8AXgF4Brga8AdwM3AQ8A0sJkNv7x0YQ9mb0vM/SXAxe2I29D+jo56fNbbFECw2MT6wi4DMJrJmuj814os9jvZ45ZOHUq2y2GM0P7B+7aGhC8MikXuuVjFsbmYxZa7cv6zNEFwT86mpA3KJNkgCsi1DKZ7zTgx8Ad0QvAj6Lv+zNHlbb6meBbUhclMDQ+sT2AJdN7B4679/pztxax5/PDoUi9Na/tJsPh8Q2nQvCg1KdTPnTTx7Sszce0pDqX85mjC4KvE4XIigm+Dk6fk7oIgTM/dOeygQXTj4QhT0/VRxYXsSXX9ivHotwar+82w3jEJwzZumj34PJWB+x028c0vM3HNJSSy/jM0QQ/Ob7qJXxOGHUYBQyWwXHusBzC26dqo7L3Q6FfGT4WcqjFxa772G3/ZvZkGNy9mYBjCblxsj6yuhljt31MkxPmYxpKyWV85miCnxxf9RI+J4w6jAIGy+AYb6+a9xAVE4ICAW1zaRlxzuplPPIj17XKDRd8TKqT+ZhEKN3ffeZogp8uxqqlfE4YVRAFjWlz1Npdr7Fa2j4WRNbyctd9dMW/TrvwueJjp/wwH3Vaj88cTfB1ciCTFZ8TJlNFSy6szXFu7TXhlsna6Kka7mv7qOGTb6MQLjFsd8COSz62yxHzUaf1+MzRBF8nBzJZ8TlhMlW05MLaHIfGN6wPCC4Ip7l86rqRdRrua/uo4ZMJfn6K7XbhszjnZ2ojYjrs0nA0wddnnWjRHg6JiFIV0OaouRwvroC2j6nAZCzkuo+u+de4C9/09MByWbrpmo+tUsB8zNgw2hT3maMJvk4OZLLic8JkqmjJhTU5ai/HM8HXC75mnLW8alyqN1UfOc5FH30byRF/jaNOhrbjaIKvwzeTFUvqTLjaFtbkqL0czwRfJ8auisB+u/CF3HjjB068rNVWpnoUilvSbC/FvWltwXzUIWuCr8NRxYoltQpG1d5AfDreNOGF99ZG1+t4aD0WDY6utpfGpXqy1/7pJy9zugPlKsfGHDEfNVpM++eO0wmap+q2014eavOv6beGNzw+EQqFhbsGD2m1k1peqv3GMS+nTte5zHB4fMPVEKw99IWD/PPPUM0dbZYuc7QRMd1oWw9fl2cha9bwCuGbu1iL49x+6SHbJusjy3S8m7Wi5aOmT822XPfRdf/aLdUrM2Z5bLvO0dpLnqi2vsYEX49lYUvW8AojVBXTuJfWbtvUIt5arIvQ8+Ol6YzxDUtesGjh9l3P7W25C19xAjoWLBeNow3p6+RAJivW8DLhaltYi+PQ2MQjQcAyre10Gx3W8lGHWLbeQJn3zGLbB4a3bvpquPGhJyFk58Ldg0dqfhbKwqpTWR84mo860bYevg5HFSuW1CoYVYbLy9hO1wRfJ76xFV/ay2U3P7wFglMI2TRZHzlHl0Jxa75wtNUO5cXaevjF2Wa2YA0vM7KWF2hwLGM7XRN8nfj6JvhX3vStQ54b3L0jCDi4jNGiolQ12ktRH5KuNx+TCKX7u/Xw03GqpJQltQ5mDY7xBioQXjNZG71ax7N9VjR81Pap2Z7rPrrun/CMfTxzfMOqAYJPuTi07xPHsnO+iH2fOVoPv0jkc17rc8LkrHIpl2lwjL/fQ7h8sja6WdtRDR+1fTLB1yfaGGdXZ+1bLurE3WeOJvg6OZDJis8Jk6miJRcuyrHx+/1kbaSUtlDUx5IRzph33UfX/WtmKLP2F4TBVteG9n3jWEXu57mHzxxLechlhPg64BbgAOAh4OKm6xcBtwEvBQ4CrgPubncP23gnI/02xX1O6rQEyv5+74OY+uCjj7m4b6tmdizaNXicC7P2feSYti1XWc5nji4I/peAceBh4K5I3O9rCODvAG8DPgi8KCq31AS/3BT3OanTkin7+70PYuqDj77m4vDYxFYCji1rfkjaPI/L+coxaz3LLu8zx24LvvTeHwNiAT8POAm4siFoy4FLgJXAEuDOqEzLuFoPXyfdfU7qtATK/n7vg5j64KOvudi41/4ewiPvr43uSJubZZTzlWMZLIrY9JljtwX/MGASODEKwMmRuJ/fFJAJQLY8PRQ4F2g7ucoEv0gq77vW56ROQ6CK7/c+iKkPPvqci/tGkdg8WRuRzkvXfj5z7Bq0Fjf2maNrgv8W4CLgXQ2chwF5AZB/ewUwBbwemG6VBCb4Ok3D56ROQ6CK7/c+iKkPPvqcizPH6DqyNt9njmnadFVlfObYbcFfCDwOHBkFaxQ4AbiqIXh/Eg373x792yPA6cBP6/X62jAM562dXrlSRv/tZwTaE/jcV59ky7d/whnHH87bTzjCUBmB0gh87fs/544t25ET9daOSF/FfkagfAKtdizstuBLrb8AXAt8JZp9fxPwAHCUrBgC3hMN518KLAa2Rt/891oPv7yk8fktNg2VKr7f+9B79sHHXsjFofENOwKCV3ZzAl8vcEzTtssu4zNHFwT/aOBWYDD6Nn9FFDCZzHca8DPgZkC6YVLmeluWV3ZKu782u4hQVfX9voiP5Ud43x1cf4C57l+aODccwdy1w3V6gWOV7aLdvXzm6ILgq8bQvuHr4PQ5qZMIVPX9Po0QJPlaxd9dj7Xr/qWN89wOfCVt45yUK73CMameZf/dZ44m+GVnRwv7PidMF3C1vWVejlWsv4+dzutjlZxd99F1/9IK/twyvZCde4LwuKqX6fUKxyrbRqt7+czRBL8L2eNzwnQBl7rgV/X9Pq0QdJup6/noun9Z4jw0vmF9QHBBSHj7VG10VZWx7yWOVXJrvpfPHE3wu5A5PidMF3CpC/7w+EQoRsvaP7/RYYt18YzpJYayz/5Cgu1CperNeHqJY/Gsym/BZ44m+PnjnvtKnxMmd6VLuDAPx7nJU4RbJmujp5bg1n4m8/hYtk++9Vh6jWG3evm9xrHqdtILn+lM8LuQNdbwdKDn4Tg8vuFqCNYScuNkfWS1jiftreTxsWyfTPD1CWeJc7d6+Vl81CeUzqL5mI5TUql2HE3wk8iV8HdLah2oeTjGM6WD6eCce647b5OOJyb4ZXLME+cy/WllO6uP3ejlZ/WxaoZyP/NRh7oJvg5HFSuW1CoYcz0c4u/3C3cNHlLFkaUW6+Kx7kWGc738kMrW5fcix+LZld2Czxyth5893oWv8DlhClde0UBWjg2bn2ybrI/IYUyl/7L6WLpDLW7guo+u+5e3Z1r1uvxe5Vh1m/GZowl+1dliw1ZqxLM2vKE1E6uDAW6ocklUVh/V4GQw5LqPrvtXQPBPheBBKurl9yrHDKmuUtRnjib4KimQzYjPCZOtpuWWzspxaGxiUxBw9jThhffWRteX692s9aw+VuFT8z1c99F1/4rEOe7lV5GTvcyxynbjM0cT/CozJbqXzwnTBVxtb5mV4/DYxFMELK5y/XNWH7vB13UfXfeviOCfOb5h1QDBp0LYMVUbiU8NLSUNepljKcDaGPWZowl+lZligq9KO0vDiydJhSFPT9VH5NTFSn5ZfKzEoRY3cd1H1/0rIvhybcNJessna6Oby8qDXudYFjffRsQ65aMJflVZ0nAfa3g60LNwnOtJhdw9VR9ZoeNBspUsPiZbK6eE6z667l9RwY/3hghLzs1e51hO65hv1WeOJvhVZYkJvjrpLA0vPjAnnObyqetG1qk704PDf1UxSrpPljgn2Srr70V8bDyuuczPTUV8LItbL/Weq2KU5j7tYm2Cn4aechlreDpAs3Cs8sCcxtpl8VGHSnYrrvvoun9Fe/hyfbwRT5k7QPYDx+zZn/0Knzma4GePd+ErfE6YwpVXNJCWY2MPqooDc0zwFYPcJysdGo/OnayPHKJLcNZa2vZSxr3T2jQf05LqXM56+DocVaxYUqtgTP0Aq/rAHBN8nfjGVvqlvQyPTWwl4Niyluj1C0fd7JtvzWeO1sMvOzta2Pc5YbqAq+0t03Ks+sAcE3zdLEkbZ927ZrOm4WM8sRTYPFkbWZ7Ng+TSGj4m36VYCfOxGL+kl2QTfB2+maxYUmfCpSH4myE4paoDc0zwdeKb9PDSvUsxaxptuuzJexo+FqOUfLX5mMwoTQmXh/RfB9wCHAA8BFzcVKGLgMZjTGVzihcDz7SqeK1WC8fHx51+kbGkTpOyyWXScuzGhjv9JlbJ0cpfIm2c89+h+JVaPs5N3iO8ZrI2enVxz/ZZ0PJR06dmW+ajDl2XBf9LwDjwMHAXcBtwX5tqHw38F+Ad7bCY4JebMDrWdaykeTjEk6FCwiemaqNLdO6c3koaH9NbK6ek6z667p9ERcvHeL5JGTvvaflYThbOWjUfdei6KviLgMeApVE1zwNOAq5sU+2NwH8GHjXB10mMdlZ6peF1a8Md6+Hr5Wev5GJaImXtvNdvHNPyzlrOZ47dHvo+DJgEToygnwxcApzfIgivAT4GDHcKkPXws6Zv6/I+J3VjjeIh0qo33DHB18nDfuz1ze28R3j7VG10lRbJXmnTWjzy2vGZo2uC/xZAvtm/q0UwROy/AmyK/1av19eGYTjvO9fKlSvzxtKu6zEC9c8+yo/+6VdcOnwUr3rpC3usdladXiTwi2d289GJb3HQAQuoXXB8L1bR6lQBgaVLl87T924L/kLgcSA+JWoUOAG4qgWPbwNvajdZLy5vPXydTPL5LTYm0M0Nd6yHr5OH/djDlzqXsSa/F9q0Xlblt+Qzx24LvlD/AnBt1Hu/G7gJeAA4SuZwAM8BsvPU/wZk0l7Hnwl+EqF0f/c5qeMadnPDHRP8dHmWplQv5GKaejaWGVozsToY4AbNA3X6kWNW7mnK+8zRBcEXEb8VGJQNJ4ArIugyme804IfAa4E/AxI3ozDBT5OyyWV8TuoGwb8agrVl7k+eRLIXOCbVsey/9yPDxtGphbsGD9m07pydRTn3I8eizFpd7zNHFwRfNSYm+Do4fU7qmMDQ2MSmIODsbmy4Yz18nTwUK72Qi3loxPmrtdVuv3LMw77TNT5zNMHXzoYU9nxOmBTVq6xIEsdubrhjgq+XBklx1rtTfktl+Ki9pLQMH/MTa32l+ahDVGsdvkya+xoQRm7JMLwsqftrHTeLW7EefnGGvdCrOmN8w5KFBNvDkKen6iOLdahkt2IPsOzMmq/oV4baw/r9yrF4Bu5vwWeOaXv4vwbIf/4P8Cpgd4RAtsX9n8DztaHmtWeCn5dc7yS11ES7d5SXqs8Ph7x11r6unxlqDuv3M0fNnPSZY1rBl2Vy17eB9gRQ+Zal7QJogq+T2j4ntRAYHptYR8BllLAneRbCvnPMUteyyvYzQ80X137mqJmbPnNMK/jCS5KTYfIAACAASURBVHr2smb+A9FSOfm3PcCXgSc1gRaxZYJfhN6+a31O6hnBH98wc0IehMsna6Oy+qMrP985dgVa0037maHmsH4/c9TMY585ZhF8YfayaJmcnGw30ABxlybQIrZM8IvQ6yXBn5iZZ6K1pCkvVZ8fDnnrrH1dvzPUGtbvd45aeekzx6yC/16gBrykCV5WO1rs59kxwddB63NSz224E7Jtsj6yTIdIPis+c8xXY/2r+p2h1rB+v3PUykyfOWYV6l8A34iG8WU4P/7JS4ATPxN8nTD4nNRzu5QpHz6Sh6zPHPPUt4xr+p2h1rB+v3PUyk2fOWYVfNn1Tk6t+6UWPG07Jvg6RH1O6m6fkNcYAZ856mRScSvGcN/e+kU2kTKOxXNRLPjMMavg/wEgS/E+07A0Txjcr4OyuBUT/OIMfU/qofGJ7QEsmd47cNy915+7VYdIPis+Pxzy1Vj/KmMIGqNWxlEnN33mmFXw4w13mslltaNDvoUVE3wdtL4mtQsn5FkPXycHYyu+5qImhXgjKUJ2TtZH5DCxzD/jmBlZywt85phVqE+NluI1g7Cd9jLkks8Jk6GapRdtxdGFE/JM8HVDb+1llmd8ZG7epabGUScvfeaYVfCF2BuAk4D/Fh1X+x0djDpWrIevw9HXpB4e39D1E/JM8HVy0Hr4+3Oc20wq5MbJ+sjqrJR9bdNZ61l2eZ85ZhX8NUAdkHX3BwF/A/wv4E/KhpzWvgl+WlKdy/ma1C6ckGeCr5ODJvj7czzzQ3cuG1gw/UgIO6ZqI0dmpexrm85az7LL+8wxq+DLLP2zgS8CciDJGdFZ9keUDTmtfRP8tKR6U/BdOCHPBF8nB03w53McGpvYGQQcnGdCqs9CpZtRxaz5zDGr4Ms6/FcD/xAJ/m8C9wCHFkOod7UJvg5LH5PalRPyTPB1ctAEv4Xgj29YHxBcEE5z+dR1I+uykPaxTWepX1VlfeaYVfDXA28HXgQ8ChwDfBq4sCrYSfcxwU8ilO7vPib1WWs+syIcCDdCuGWyNioTTLv+85Fj16E1OWAM9wEpkuPGUSezfeaYVfDlu72sxT8t+o6/BfhTlzbiMcHv36Sem7DX5RPyrIevk4PWw5/Psciuez4LlW5GFbPmM8esgi+kfjuaqHdg9D1fNuEp8pONfG4B5ECeh4CLWxgbBdYC4q/MTr2v3Q1N8IuEYt+1Pia1KyfkmeDr5KAJfmuOcZ5n3XXPxzatm0k61nzmmFXwZTb+5YCI/cHATuCjkRjnpfklYBx4GLgLuK1J0OXzwVejpYDPiw7vucAEPy/udNf5mNTD426ckGeCny7H0pbyMRfT1i1Puby77hnHPLTnX+Mzx6yC/1Pg0mhrXSGxAvgE8G9zolwEPAYsja4/LxL2KxvsnRv921Vp7mE9/DSUksv4ltT7liyFT0zVRpck17CaEr5xrIZKtrsYw/155V2eZxyz5V270j5zzCr4P5MNn4CvRTD+PXB3i+Ny05I9DJgETowuOBm4BDi/wYAI/csBWfonx/L+ISBzB1r+TPDTou9czrek1jpCVIfePiu+cdSuv4Y9Yzif4tD4hh0BwSuzLM8zjhrZ2F+H50hv/r3At6Pv6TJLX76/X5QTZbPgvyWy9a4mwf8t4CzgcOBB4FVAWK/X14ZheHXzvVeuXJnTHbvMVwKf++qTbPn2Tzjj+MN5+wnObAvhK07z23ECf7H5H/j647/gnDe9glNfJ49R+xmB/QksXbp0Xoc+aw9fvt3LN3wR4AXRBjwfA36VE/ZC4HEg3jVKJuedADQO3787EniZtCe/b0Qb/show7yf9fBzRqLpMt96Ay5O2BOkvnHUyR5dK8ZwPs88y/OMo05e+swxq+B/MhpS/4kOuhkrXwCuBb4SfR64CXgAOEqel9Ga/88Csq5aTomSCXyy+U/Lk/tM8HUi41tSxxP2JmsjWXNaB1gbK75xLBVGTuPGcD64PMvzjGPOBPS8M9ToftaHoyybk730N+qgm7FydLQ97yCwGbgisi2T+WS9v2zn+37gg9GowkeAqXb3N8HXiYxPD4e5E/JCtk3WR5bpENCx4hNHnRrrWzGGrZlmXZ5nHHVy02eOWQX/88DyaBj+mQZ8b9JBWdyKCX5xhmLBp6TOu0xJh1RnKz5xrIJHnnsYw7aCn+lkSOOYJ/vmX+Mzx6yCLz3wPS2wSU/ciZ8Jvk4YfErqoQL7i+vQam/FJ45ls8hr3xi2Jpd1eZ5xzJuB+1/nM8esgq9DrEQrJvg6cH1K6qGxiUeCgGUQLp+sjcpLqTM/nzg6A63JEWPYPjLx6Xl7CI+8vza6o1MMjaNOhvvMMavg/zvg48Dx0RK566Jled/XQVncigl+cYZiwaekdnXCnm8cdTJH34pPuahf+84Wh8YmNgUBZ08TXnhvbVQON2v7M4460fGZY1bBl97TU9FkuhcCkmCyq5kTJ5NJOE3w+yupL7v54eUQPIiDE/ZM8PsrF1ute9Yh0N5Klg2nfBaqsjlmse8zx6yC/8/AocDPgcVRL1969y/IAqzMsib4OnR9SerLbn74GgjWEnLjZH1EDlZy6ucLx26IVdpAGcP2pM4Y37BkIcF2QnZO1kdk2bL18NMmVs5yPudjVsGXHfbuiI7I/V1A/vMbwGtzslO/zARfB6kvSf37f/71u9MOaeqQyWbFF44m+Nni2ly6m3FOu81uN31MS9d8TEuqc7l2HLMK/hnARHRSntzxaWAEuF/HzeJWTPCLMxQLvjS837/56zsCWJJlT3EdQums+MLRBD9dPNuV6mac065S6aaPaemaj2lJVSP4chcZ0n8DsAvYFom+jpcKVkzwFSB6IviPfuf74fj/+OZMhV3bYS+Ogj3AiuejMezMMO02u8axeC761BnS2Ev/xYB8J5VZ+tOA7Lwns/bl274TPxN8nTD48HD4/F9vDW+alA0Zwy2TtVFnJo42RsAHjq776Lp/3RaBxm12O734Gsf+eTZqDel/CXhrtMe9nGUvh97cA/y2DsriVkzwizPs9gMsbQ3+7M4vh/d/80dyqoKTE/Z84ei6ELjunwtxHh6b2ErAsZ32ojCOaZ8s+YbLdazrWNES/J2AbKMr3Sr5/X/RvvrP13GzuBUT/OIMXXiApanF+H+7P3z0yZ0E08E591x33qY011Rdxh6yxYkbw2SGw2MT6wi4DMJrJmuj844M96VNW6yTY52mhJbg/y/gQ8D3opueEh2XuyKNE1WUMcHXoexDw3vPH20M/+mZ3aTZZUyHSnYrPnB03UfX/XNBTOPv+GHI1qn6yHGtMtU4Zm+/vcYx6yz9v4m+3z8KDACvA2TWlHzPl1/XD9Exwe+PpI7XH4chT0/VR2RPCCd/9pAtHhZjmMwwzXG5xjGZY5oSPnPMKvhbgOc6QOn6ITom+GlSNrmM60mddmZyck3LLeE6Rxd6p0kRMIZJhGb/nnRcrnFMxzGplM8cswr+KHCva0vxGgNkgp+Urun+7npSD49vmD0atMM3y3Q1LbeU6xxN8HXi70Kc59pEm0msLviYRNt8TCKU7u9a3/B/DJwF/G2621ZfygRfh7nrDS+pN6NDobgV1zma4BePsSsMh8c3nCrnSrT7jm+52DuxTqqJluB/EjgdmAKeabjpeJIDVf3dBF+HtOsPh+GxiacIWOzyhD1XhCApI1yPtev+uRTn+OTIhbsGD9m07hxZVTX3M45JLSHd333mmHVIXybnxRP0GuksTIeq/FIm+DqMXU7qeMLeIS84gE9/5B1Zc1gHUEorLnOMq+C6j67755bgb9gMwSmtlqoax5SNNqGYzxyzPiylfNjE473AbQVQykz/W4ADop37Lm6ydQLwReAfo3//KiD3bPkzwS8QCU96A/GRoMe8YjG1S87ImsM6gFJa8fnhkLKKpRczhukRd/qObxzTc+xU0meOWR+WLwHZ3IEjALn214AzgQMLoJTd++STwMPAXdHLw30N9pYD5wEXpbmHCX4aSsllXE7qeJORM44/nN87961Zczi58oolXOZoPXy9QLsS507f8V3xsVfFVC+bilvS+ob/V8CJwPMA+T4kgi8b8dyU00XZnld27VsaXS/CfhJwZYM92bZXtvO9Ks09TPDTUEou4/LDIZ6wd+nwUZx+8jIT/ORwdizhcqzFcdf9c83Hdt/xjWPBhhJd7jPHrA/LfwUOB2Q9/rHR0bjSA/9gTpSHyUFn0UuEmDgZuAQ4v8He7wK/F80dWBC9YHy53f1M8HNGoukyl5M6fqDV3nM8xxz961lzWAdQSisuc7QefsogpijmUpzbrWBxycd2SM3HFMmWoohWD/9H0ZD+f4lOzZNbfzbq8adwY16RZsF/SzR0/66GkscArwE+F+3sJ4f1/Dtgb6sbmuDnCcP8a1xteGd+6M5lAwumHwkJn/j4+096pcvnuLvW8/P1IetqLjbydMnHdt/xXfLR11z0vU1n7R3J93sRX+npx8Pufw2IUOf5yez+x6NT9+R62dhHJul1Gr6XrXyHgB/X6/W1YRjOOyhi5cqVeXyxazwg8LXv/5w7tmxHJuy9//RXe+CxuWgEqiXw9z9+Bjk2+vBDD2LsndJfsl8/EmjVGcoq+MLtIGC37OQIHAzIKWWNa/Kzsv0CcC3wFeDuaD7AA8BR0TG8qwDZK/164BXR5wT55t9qeSDWw8+Kv3V5V3sD8YS9cJrLP/7BE2+wHn7xeLsa67hmrvvnYq+v1Xd841i8rbgY61a10hrSX9NCaGVv/a2REOchejRwKzAIbAauiIzIZD7Zm19eJv4ymjsgfxoDZPJgy58Jfp4QzL/G1YfD0NjEI0HAMjn3+8b3n/SgCX7xeLsaaxP8/LFt9R3f9Tj7Lqb5o6V/pZbgy3dzOSWv1e8/AX+s73o2iyb42Xi1K+3qwyHuuUzWRgJXfWxkaj4Wz0djmJ1hq+/4xjE7xyy9Zx3rOla0BF9EXQRfttiVzwH/Mfr/24D/H3i5jrv5rZjg52fnulDFa4wJ2TZZH1lmD7DejbXrudhM3rVcbLUe3zUfe01MdVqjjhUtwf9ZtE5+e+SWzJqSJXIyLC8z+OX7fld/Jvg6+F18OAytmVgdDHBDSHj7VG10lYs+ui4EPj5kLc752nTzd3zjmI9jL7XprJP2vgfIzHrZCU+22JXZ8jJ5TrbWfWc0w16Hak4rJvg5wTVd5uLDYWh8w/qA4AKZsDd13cg6F33spYeDTiYVt2Jxzsew+Tu+cczHsZfadFbBfxPwX6NNd4SDDOVfGk2o+2G0F74O1ZxWTPBzgvNC8Ce2B7Bkeu/Acfdef+5We4D1bqxtSL94bJu/41t7Kc5ULPjMMavgx8TiiXstl8bpYM1nxQQ/HzfX32JXrN64eM+Bu58SP2XCnu8NTydKOlZcf4C57p+rudj8Hd849kd76ZSPWQVftsFt/okNGdp34meCrxMG1x4OcxP2CLdM1kZPdfUh6/qLU6vscC3WxlCnDYuVxu/4H7v09U/ZMtbibF1vL5qCL+vt459M0JMNcGSnvZkHsAs/E3ydKLiW1LbMSCeuJvjlcHStvcS1bPyOv+6Db9hogl88/q7GurFmWrP0m2mdAlwIyG54TvxM8HXC4FpSD41NbAoCzp4mvPDe2uh66+HrxNkHjq7lok8vTY0vyjd+4MTLTPCLtxuf8zHrkH4zLTndTrbGleNynfiZ4OuEwbWkHh6beIqAxXsIj7y/NrrDB6EyH3szFz0T/FMheDAM2frxD5y4zAS/eE669mzMko9ZBX9ng3E5qvYFwFeB3yyOUceCCb4OR5eS+ozxDUsWEmwPQ56eqo/IuQozP5d8bEfdfCyej8awGEM7TroYv+arfc7HrIK/rqHysg5fNtuR4VXZkMeJnwm+ThhcSuqz1nxmRTgQbqRhwp4Jvk6cfeDoUi76+GIXf8f/D297NSt+64Ssz3y9REthyWKdAlKKIprf8F8qR9MCJ0bH2m4E5AAdJ34m+DphcKnhzX2HJLxmsjY6dxyySz76KAS+jJRYnIu16bj9nPLaw/jQu5eb4BfD6fXIYtbg14FXAh8D/gaQYX3ZV/+iggzVLjfB10Hp0kM27qHICXmTtVE5UXHm55KPJvg6edfKisW5GNt4Sevhhx7En685O+szv9jNM15tsc4IrE1xrR7+L4AzgVHgzcAF0Tn2L9Fxs7gVE/ziDF0T01Zne7vmowm+Tt6Z4JfDsV0bKudu+a2a4Odn13illuD/EngF8EVAhvKlp/9z4EAdN4tbMcEvztAlMT3zQ3cuG1gw/UhI+MRUbXRJmqTWIaBjxR5gxTkaw+IMm/fVL26xHAsWax2uWoL/IPAy4FXRN/x3AKe7cGhOjMkEv9yE0bGe3sqZ4xtWDRB8Kgy5e6o+ssIEPz27tCVdf8i67p9LL8jtYt5q46q0+VFlOYu1Dm0twZce1mXAN4C/AMaj3v7XddwsbsUEvzhDlx5gzSfkmeDrxNcnjiYCxWPevK9+cYvlWLBY63DVEnwdb0q0YoKvA9eVhjc0NvFIELCsecKeSy8lnYi7wtFnH42hTpv24Tu+xVon1i4L/uuAW4ADouN1L25T5ecD3wUukQPT2mExwS83YXSsp7cSP6TiE/J86pnaS0n6OPv8QuJLnC9bNxn+4B//hVYvzzqRKm7FBL84w0756MISjS9FnwYeBu4CbgPua1Ht66NDeq4xwddJCtcfsq1OyDPB14+96w9Z1/3zRfD/7M4vh/d/U/ZK238/C/2Mym/RYp2fXZpnY7cFfxHwWHTqnvh7HnAScGVTtY8BPgLIHupyOp/18HXyoq0VFxpe0kQjF3xMCoP5mEQo+e/GMJlRmhKbvviN8Ja/elwEf+6I6TTXVVnGYq1D29Uh/cMi8ZZd++Qnh/HIkP35DdWWl5J7gfcDv2eCr5MQSVZcaHitTshL8xabVLcq/+4Cx6T6uu6j6/750sN/9DvfD8f/xzdn0qHVJ7KkPKni7xZrHcq+CP5bol373tVQ7fcChwJ/CtRM8HUSIsmKCw2v1Ql5JvhJkcv+dxdi3clr1/3zRfCF42V//vVtBBzr6nd8i3X29tvqClcFfyEgY0xHRk7LDn4nAFc1VOKzwMuB6ei/nwHeDXy9Xq+vDcNwbm/1+JqVK1fqUDMrXSPwi2d289GJb3HgogXUVx3fNT/sxkaglwh87qtPsuXbP+GM4w/n7Scc0UtVs7o0EWh1FHK3v+GLi18Aro226L0buAl4ADhKtktvOpjHevgVpXW337TjE/JabbgTI+i2j2lCYT6modS5jDEszjAehVj9yb89p9XJkzp3KG7FYl2cYacRJxcE/2jgVmAQkINRroiqLJP5TgN+2IDABF8nHxKtdLvhDY9NrCOQTZ7azyjuto+JEO2AnzSIEstYnBMRpSogHK+86VuH7Dlw91NygYvf8S3WqUKZWMjVIf1Ex7MWsHX4WYm1Lt/thtfuhLxGb7vtYxrS5mMaStbDL04p2UKci8NjE1td/Y5v7SU5jmlKmOCnoVRRGUvqZNCdNtyJrzaOyRzTlHCdo+v+dRpCTcO/qjINgp84elaVT833sVjrkDfB1+GoYsWSujPGuQ13QrZN1keWtSttHFXSEdc5uu6fb4Ifz49xcT2+xbrcNu3CN3ydGkZWbEhfB2c3G97QmonVwQA3EHLjZH1ktQm+Tkx95djNXExL3icfV6zeuNjV7/g+cUybG90oZz38blBvc09L6s7BSNpwx4b0dZPZ9Xx03T/fevjir6vf8S3WOm3bBF+Ho4oVS+oEwR+f2B7Akj2ER95fG5XtlFv+jKNKOtqQvgJG33IxzSoYBSyZTfjGMXMFK7rABL8i0GluY0ndntIZ4xuWLCTYHoY8PVUfWdyJp3FMk23JZVzn6Lp/PvbwXf2Ob7FObq9pSpjgp6FUURlL6vagzxzfsGqA4FOdNtyxIX3dRHU9H133z0fBd/U7vsVap22b4OtwVLFiSd0eY5ahRuOoko42pK+A0cdcdPE7vo8cFdJH3YQJvjrS/AYtqduzGxqbeCQIWJbmcA/jmD8HG690naPr/vnYwxefs7xc62RashWLdTKjNCVM8NNQqqiMJXWHHv74RCh/TbPtp3HUSVjXObrun6+C7+J3fIt1uW3a1uHr8M1kxZK6Na65DXcIt0zWRk9Ngmockwil+7vrHF33z1fBd/E7vsU6XZtNKmU9/CRCFf7dkrqt4F8NwdqkDXfiq42jTtK6ztF1/3wV/GhY36l99S3W5bZp6+Hr8M1kxZK6reBvhuCUYDo4557rztuUBNU4JhFK93fXObrun+eC79S++hbrdG02qZT18JMIVfh3S+p2gj/7/X7hrsFDNq07Z2dSSIxjEqF0f3edo+v++Sz48Xf8MGTrVH3kuHQZU14pi7UOWxN8HY4qViyp52M880N3LhtYMP1ISPjEVG10SRrQxjENpeQyrnN03T+fBX9mWD+aKJv2RTs5o/KXsFjnZ9d4pQm+DkcVK5bU8zHGB+aEhLdP1UZXpQFtHNNQSi7jOkfX/fNf8Ddk+pSWnFH5S1is87Mzwddhp27FkrqF4I9NbAoCzp4mvPDe2uj6NNCNYxpKyWVc5+i6fz0g+JkmyyZnVP4SFuv87EzwddipW7Gkno90eGziKQIWJx2Ykyap1QNWwKDFugC86FJjWJxhp5eSeDmsC9/xLdblxtpm6evwzWTFknp/XFkOzDHBz5RqqQq7no+u++d7D1/8d+U7vsU6VZNNLOTyN/zXAbcABwAPARc31eZA4FbgtdG/rwXublfjWq0Wjo+PO/0iY0m9f/SyHJhjgp/Y1jMXcD0fXfevNwTfje/4FuvMzbflBS4L/peAceBh4C7gNuC+hlq8AzgWEKF/ObAZWGqCr5MY7axU2fCGxjesDwguCKe5fOq6kXVpa1alj2l9ai5nPuYlt+86Y1icYdJLSZ5Jszpe7W/FYq1D1VXBXwQ81iDg5wEnAVe2qfZbgD8C3mqCr5MYbgj+xPYAlkzvHTju3uvP3Zq2ZvZwSEuqcznXObruX5KY6kSpuJVOHPcti2XHVG3kyOJ3y2fBYp2PW9qORreHvg+Tc1KAEyOHTwYuAc5vUe3vAgcDbwe2meDrJEa3BT/v9/teeMiWG8H01l1/yLruX6/k4tDYxM4g4OAsE2fTZ1m6khbrdJySSrnaw28WfOnBXwS8q02FpPcv3/NfD4T1en1tGIZXN5dduXJlEg/7uyMEvvb9n3PHlu0c84rFvP/0VzvilblhBPqPwM2ff5xHn9zJ+accyRt//cX9B6DHarx06dJ5Hfpu9/AXAo8D8RDSKHACcFUD++OBfwJ2RP/2HUBOUvtpq/jYpD2drK3qTTvv9/te6VXpRKuYlapinddL1/3rlVyc+44fcvdUfWRF3ngVuc5iXYTevmtd7eGLh18ArgW+Es2+vwl4ADgK+AHwAWAZ8H7giGgm/yuBaRN8neRoZaWqhjc0nu/7fa88ZMuLYHrLVcU6vUf7l3Tdv17JxfjzGiE7J+sjh+SNV5HrLNZF6Pkh+EdHw/SD0Qz8KyK3ZTLfacDPomV7Mow/AHwYuKcdFuvhl5swOtZnrRT5ft8rD1lNnnltuf6Qdd2/XsrFofENOwKCV2adQJs395qvs1jrkHS5h69Tw8iKCb4OzioaXt7193ENq/CxKE3zsShBMIbFGaZ9KSnyiU3DS4u1BsX2babb3/B1atdgxQRfB2kVDa/ow6UKH4vSNB+LEjTBL05w1kKaXIyPy4Vwy2RtVOZKVfpL42OlDrW4mc8+muB3IXt8ThhNXEW+36d9gGn6m8eWxToPtf2vMYbFGaZtLytWb1y858DdT0n5ydpI5fpgsS431pUHVKc67a1YD1+HcNkNr+j3+7QPMB0a+a2UzTG/Z/uudN1H1/3rtVwcHpvYSsCxwXRwzj3XnbdJI8fS2rBYpyXVuZx9w9fhqGLFkhqKfr/vtYesSmLlNOJ6PrruX6/l4vD4hq4dl2uxztmImy4zwdfhqGLFkhqKfr/vtYesSmLlNOJ6PrruX6/l4txxuVS/za7FOmcjNsHXAVeGFUtqEfz86+/jmBhHnex0naPr/vWa4Et9urXNrsW63DZt3/B1+Gay0u9Jve+gjvCJqdrokkzwGgr3O8e83Jqvc52j6/71qOBvCgLOznqCZdGctFgXJTh7vQ3p63BUsdLvSa11FGe/c1RJxpTLtbTulceOxTkPtfnXZOGoMccmj9dZfMxjX+Man320Hr5GBmS04XPCZKxqy+JDYxMzvYdpwgvvrY2uz2uz3znm5WY9fC1y++z0Wi52a5vdXuOon2npLFoPPx2nSkr1e1IPj008RcDiosdw9jtHrWR1naPr/vXikL7UqRvL8yzWOq3aBF+Ho4qVfk7qeAYwIdsm6yNyKFLuXz9zzA2txYWuc3Tdvx4W/HUEXEbIjZP1kdWaOdfOlsVah7IJvg5HFSv9nNSaa3z7maNKIkZGXOfoun+9Kvj7JtdWtzzPYq3Tsk3wdTiqWOnnpB4am3gkCFimsYtXP3NUSUQTfDWMvZqLVS/P61WOaomW0pAJfkpQVRTr16TW3qe7Xzlq56jrHF33r1d7+FIvjQ2ysuSrxToLrfZlTfB1OKpY6dek1l7q068cVZKwwYjrHF33r5cFP26zVZ2eZ7HWad0m+DocVaz0a1Jr9xb6laNKEprgq2Ls1VxsHJVbuGvwkE3rztmpCq7JWK9yLJNZK9sm+FUT73C/fk1qreV4Mdp+5aidyq5zdN2/Xu7hzwzrK+2bkSZvLdZpKCWXMcFPZlRZiX5Maq3tdBuD1I8cy0hS1zm67l/PC/6aidXBADeEhLdP1UZXlZGD9hKvS9VlwX8dcAtwAPAQcHFT1WU3wJuAtwLTwOXAg+3w1Gq1cHx83OkdBPvxATY8NqG+prcfOeo+Fmatuc7Rdf98YFjExyp33bNY67RwlwX/IDbK7gAAGDtJREFUS8A48DBwF3AbcF9DtYeAC4HfAV4NfBZ4vQm+TmK0s6Ld8DSX41lvQDf22rHW9c79F5IiYqrNqpO9InGuate9Ij5WxdJnH7vdE14EPAYsjYJ1HnAScGVD8J4HSLmngecD3wVeYYJfbnprJnXcQwhDnp6qjyzW8lzTRy2fmu2Yj8XJGsPiDIu+lMQbZpU9rG+xLjfW3Rb8w4BJ4MSomicDlwDnt6n2H0Si/xETfJ3EqKKHP3c6XsjdU/WRFVqe28NBh6TrHF33r6iY6kQx2UoRjvEcHEJ2TtZHDkm+W74SRXzMd8fsV/nso2uC/xbgIuBdLcLwPuCdwNnAc/L3er2+NgzDq5vLrly5MnsU7YrSCNz8+cd59MmdnH/Kkbzx119c2n3MsBEwAuURuHrDNp76l2dZ845jOOJFB5V3I7OsQmDp0qXz9L3bgr8QeBw4MqrhKHACcFVTjeUFQHr9Ivi7OtGwSXsquaI2kavMdbw+v2nrREnHiuscXfevH3r4UscyJt42Z7DFutw23W3Bl9p9AbgW+ApwdzQj/wHgKJlADPwbYCNwCvCrJBwm+EmE0v1dq+GVuVOXlo/piOQrZT7m49Z4lTEszlDjpaSKw3Qs1uXG2gXBPxq4FRgENgNXRFWWyXynAe+OluL9tAHFm4FnWqExwS83YbJajzftCKe5fOq6kXVZr+9U3h4OOjRd5+i6fxpiqhPJzlY0OA6Nb9gRELxyeu/Acfdef+5Wbb81fNT2qZdGIVwQfNX4mODr4NRqeNq761nPTye+PnHUykV9cvss9ouPZQ/r9wvHMnOx0wuoCX7Z5FvY75ekPmvNZ1aEA+FGQrZN1keWaaPuF47a3HzrsVicdTJAg2PZw/oaPurQam/FZx9N8MvOjj4WfO3DcnwTqn4a6i2zGfn8gC2TS1bbWhzjYX0Il0/WRuUzrNpPy0c1h3rs+W2CX2ZmtLHdL0ld5nC+iale4rqej67712+5GA/rl7EJj8Vap12342iCr8M3k5V+SOqyh/P77SGbKcEyFnY9H133r99yscy99S3WGRtvxk6lCb4O30xW+iGpyx7O77eHbKYEy1jY9Xx03b9+zMWy9ta3WGdsvCb4dlqeRsoUaXiNm+3sITzy/troDg2fmm0U8bEMf1rZNB+LkzaGxRlqv5TYdtnzd7HTiZKOFRvS1+GoYqXXH2Bzm+2UNDs/DkKvc1RJthRGXOfoun/aYpoiZLmKaHKcG9YHFu4aPGTTunN25nKq6SJNHzX86bWXeBvSLysrOtjt9aSON9uZJrzw3tro+rIQ9zrHsrj5NlJicdbJBG2OZWyqpe2jDrn9rfjsowl+GRmRYNPnhEnCVdabf6+9aSdxrPLvruej6/71Yw9f6hyP5IUhW6fqI8dp5KzFWoMibc9CMcHX4ZvJSi8ndVnf9kzwM6VYpsKu56Pr/vWr4Eu9h8YmdgYBB2tttWuxztR02xa2b/g6HFWs9HJSD41PbA9gSTAdnHPPdedtUgHWxkgvcyyTmw3p69Pt11zUXpPfrxy1M9IEX5toAXu9mtT7tt0Mn5iqjS4pgCjVpb3KMVXlFQu5ztF1//q5h9+4Jn/h7sEji07es1jrNGwTfB2OKlZ6NanjtfeE3DhZH1mtAquDkV7lWDY36+HrE+7nXBwe37AZglM0Jun2M0fNrDTB16RZ0FYvJvXM2vvB3dsJWFzm2vtG9L3IsWBq5brcdY6u+9fPPXypu+bkPYt1riY87yITfB2OKlZ6Mann1t4TbpmsjZ6qAirBSC9yrIKb9fD1Kfd7LsaT94oeqNPvHLUy0wRfi6SCnV5M6niynsawXlrEvcgxbd01y7nO0XX/+r2HL/UfHt9wNQRrix6oY7HWadkm+DocVaz0WlIPj284FYIHQ6qZrBcHodc4qiRXDiOuc3TdPxN8aNx/o8gnPYt1jgbc4hITfB2OKlZ6LanjHbcgvGayNnq1CqQURnqNY4oql1LEdY6u+2eCP5uWc5N2CzwHLNY6TdxlwX8dcAtwAPAQcHGLKh8N3A18DPhEJyS1mh2eo5EyaRtelTvrNdcrrY8aPPLaMB/zktt3nTEszrCKl5J4pI+QnXmX6Fmsy421CzvtfQkYBx4G7gJuA+5rqPYi4PPAY8C3TPB1EiLJStqGN3cMLuHtU7XRVUl2Nf+e1kfNe2a1ZT5mJTa/vDEszrAKwZd7xEv08o72WazLjXW3BV/EXIR8aVTN84CTgCsbqj0ADEb/9nMTfJ2ESLKSpuF1Yyleo99pfEyqZ9l/Nx+LEzaGxRlWKPgz83ny9vIt1uXGutuCfxgwCZwYVfNk4BLg/BbV/ghggq+TD4lW0jS8uZm5IXdP1UdWJBpVLpDGR+VbZjZnPmZGNu8CY1icYVWC39jLz7Nix2JdbqxdE/y3ABcB7zLB1wl8XitJDa+xd1907W1ZPua1q3ldEkfNe+W15bqPrvtXpZjmjXGVPhb5lm+xLhLhfde6OmlvIfA4cGTk6ihwAnBVGsGv1+trwzCcNyt85cqVOtTMSlsC933j/3L/N3/E0n/7An7/rN8wUkbACBiBOQIfv+e7/OAf/4Uzjj+ct59whJHpAoGlS5fO69B3u4cvGL4AXAt8JZqJfxPwAHAU8APguYiVDelXmDSd3rRd6N1X2WMpgt16LEXozV5rDIszrJpj3l6+xbrcWLsg+LLk7tZoYt5m4IqoyjKZ7zTgJcCno//eAzwFyLf+na3Q2LK8chNGrMdHYlLhNrqtamUPh/JjrXOHYlYszsX4xVdXzTHPjP2qfcxD1mcfXRD8PMzbXmOCr4OzXVJr7ail4aXPDU+j/lo2XOfoun9V957zxr1qjvFx2eJv2t33qvYxD0uffTTBzxPxgtf4nDDDYxMbCVhRdM/sgghtqFcDYGTD9Xx03T8T/PbJ2HBk9qbJ+sg5SWlrsU4ilO7vrk7aS+d9hlLWw88Aq0PRVgkzt2d+yNOLdg8u2bTunJafVXQ8SLZiD4dkRmlKuM7Rdf9M8Ntnmcz3eW5w944g4OA0q3ks1mlabHIZE/xkRpWV8DWp4xPx8u6ipQ3YV47aHIrac52j6/6Z4HfOwKE1E6uDAW4IYceiXYPHdeooWKyLtubZ603wdTiqWPExqeNNdgjZNlkfWaYCoqARHzkWrHIpl7vO0XX/TPCT03J4bGIrAccScuNkfWR1uyss1sks05QwwU9DqaIyviV14+SbNMNyFWG05VpKoF3PR9f9M8FPTsS0zxCLdTLLNCVM8NNQqqiMT0kdfYN7MAhYlvR2XhG+udv4xLFqNlnu5zpH1/0zwU+XbXNbcXcY2rdYp2OZVMoEP4lQhX/3Kann1tyHbFu4e/DUbk/UawyTTxwrTK/Mt3Kdo+v+meCnT7mGof2Ws/Yt1ulZdippgq/DUcWKL0l96c0PXzhA8Cmp9PTegePuvf7crSoAlIz4wrHVFpdKCFTMuM7Rdf9M8NOnoezjsSAMtkaz9q+ZrI3utzW6xTo9SxN8wJbl6STMlx9+NLzus4/uJGBxnlOvdLzobMUeDjqUXefoun8m+Nny8Kw1n1kRDoQbZzoShBfeWxtdH1uwWGdj2a609fB1OKpYcT2p5bv9ol/b89Svnt2LCxvsZE1qlSApGXE91j6IlTHUSUaXOMZL9QjZOT09sDwePXTJx1587thOezptKZMVl5N6v0l6Xd4rPwmqyxytx5IUvfR/tzinZ5VnmFfHenYrDbvwzYm+xTo7x1ZXWA9fh6OKFVeTulHsjzj0efzkR3sPcWmSXjN8Vzk2+mk+Fm8yxrA4Q1dHcppF/6aLTnjE5rwUj7cJfnGGahZcfIBFk2k2RsvvttUuOP7YY47+dadHgFzkaC8las1kzpDFWYepqxwbRX/NO49Z/NaTjrHnTsGQm+AXBKh5uWsNb2ZTjIHpB2WCnuykJ8vvPnbp65+yN+3iUXct1lmG/4rXXseCMex9jnOi32Iin07t9az4nI9Ov0nlCZHN0s9GbXhs4jIC1s1eFW5ZuOvAFTKM73NSZyNQbmnjWJyvMSzO0NUh/caaze35IU8iWL9o1+DlLn5S9DkfTfB12lImKy4kzMy59mFwgxx1O6v1++9x7YKPSVDNxyRC6f7uOkfX/fNBTH3x8Y77vhb+5ebtT8s6fTlsJyC8cLI2ujldJldTyud8NMGvJkf2u0u3E2Z4/DNrCcPVMoQfhjw9EAar7rnuvE2NTnbbxzRhMR/TUEou4zpH1/3zRUx94XjpJ75x3MDA9PqZw3ai3v5ewmvur43uSM7m8kv4wrHVJ1kT/PLzY94dupEwMzPwD3r2bMLw6gCWzDSkkLsX7R5c1WrYrBs+Zg2F+ZiVWOvyrnN03T8TfJ08bOYoe++HYbB6dle+2WF+F4Tf53w0wdfL1dSWqkwYmZAXDExfEMCqmUl5sy1nG0G4utNQWZU+pgbXVNB8zEtu/+tc5+i6fyb4OnnYiuPM6iG4OiC4YO4uIZumYf299ZG79e6c3pLP+eiC4L8OuAU4AHgIuLgF+j8FTgP2RH//ervw2KQ9OOsP7jxlenp6hXyfj3vzs7zCLTMNpWEry3YcfU7q9E23/JLGsThjY1icoe8vJW2Ef2cYsIkg2Lw3nN5S1ZC/z/noguB/CRgHHgbuAm4D7mtI8bcCY8Aw8FrgVuCNJvggw/R7D3ru2GnCJUyHy2bW0MOpjWzkGz1BuCncu2BdlsNvfE5qncejjhXjWJyjMSzO0HfBjwnMfJo8YPeqIJgZsZz5xh//Zib5hWwlCLZOh+FWpgeeyPLMS0vZ53zstuAvAh4DlkawzwNOAq5sgC+nKT0ZvQjIP38HeBPwz60C5FMPPxbsdokmQh6Es9/bZzvo4bJoot3iSNxbXypD9rBZhD7vDFefkzptw62inHEsTtkYFmfYK4LfSGKm1z8dyEimdHJOjb/1z6MVIoeAzZz0GYZsDYJgZ1xGXgwWDAzM/f/ma+/5k3O3NP+bz/nYbcE/DJgEToygngxcApzfAPm/R2Wmon97ICrz/W4J/vD4RKjTBDWshFtml68gM1g3L9x14FaNtas+J7UGVS0bxrE4SWNYnGEvCn4zFZmvxIK9ywZmJyWfShgsbh4F0CFZxEq4ZbI2ut8obBFr7a5t12ZcE/y3ABcB7+og+F+Myjxer9fXhmG433nKBxxwQPjss892u15lxNBsGgEjYASMgBFIJPCSl7xkz/ve9z4ZQd/v121hXAg8DhwZeTUKnABc1eDlHwI/Bm6O/k0+AciIwDPd6uEn0k4o4MNnB/OxaJRnrzeOxTkaw+IMLRd1GPrOsduCL/y+AFwLfAWQZRY3ATJsfxTwg0jcPwq8DTgO+DggQ/8tf/Zw0Els42gcdQgUt2K5WJyh70KlQ0DHis/56ILgHx3NvB+cmWgGVzT05GUp3g+lowScDuwGPggzk9JM8HXy1zgax3B8fNyFZ4HlouWi07no+4uTs408b977/PaVt85lXGccdagax+IcjWFxhr4LlQ4BHSs+52PPCb5M5BsbG7tGJ7TlWDEfdbgax/7gaHHujzhLLS3W5ca65wRfB5dZMQJGwAgYASPQWwRM8HsrnlYbI2AEjIARMAItCfSD4L8Q2AAcAfwMGAH+qYmG7Of/aeD5wHrgj5TzJe1ZAJcB7wbeoHz/NOaSfFwVLZeUnJElkuvSGFUqIzGT7Zfl3jc27LoYm09zHoOSK23NJPkoMf1EdGaETDoVnnvLdqrJflKM4+Iu52HZbTVNSJI4yrLisyNDsuKoG58Y3wHcHq1ykqXMzb+kfE3DoWiZTj5KW5cVW7K1+jRwOfBg0RvmuD6Jo5gU3fhutCGcbCSn/RsAZKXa+4CXtjEuS9rXRs/I1U3b089d0g+CL+v4dwHXAf8ReEW0N38jt69FwZLtFz8TPYz/RSlqac8CkED+BcwcBVm14Cf5eEh01oHs1S8HGD0K/PvoBUoJU1sz0pi+AbwZeBb4W+A3m17aks5jcMFHOfDpvcDfAX8JfBb4XNmONdhPinFc1OU8FB/LbKtpwpHE8SXAlwFZfSQ7cj4CnMPsTphV/aStvB94FfCBaPvyxnunaVNl+5rk4xBwIfA7wKuj9vL6sp1qsp/kY1z8+ugME3mxK0Pw5QXyX4EPAy9rweBFwFejbemfF61q23e6YMMF/SD4stRPHrT/AMhWvvdGm/vEGP4NINv2xtv7audU2rMARAT+LHqrrVrwk3xcAEhS/TSCIw9d2Q3x77VhtbAn21BK/N4T/U22WpYY3hP9/zTnMZTtZpKPcn8RUtlASn71aMMpOSWyql9SjGM/XM7DsttqmlgkcZQRRWkf8jx5LvrfsofIz9MYVyojgv7LaD+T32sh+GnyVcmVtmaSfBThkrb9dEMPWjprVf6SfBRfjgE+Er3Q/XVJgh/7IUvUWwn+uZHYN25Y15JTPwi+DLWIgEoDkJ8cxNOYOPI3GS4RmLLZz52R8GolVpqzAOSBIG+0MmwtSVO14KfxMeYhves/Bk7RApRgRw5UEh4fispJ45IXjz+P/n+a8xjKdjXJx8b7y4uTHMixvKIRkvjeaWLseh6W3VbT5EkajnLE93+OPtn816jHlca2dhn5nNBK8LPkq7ZPzfba+dhY7g8i0Ze2341fOx9FP6XzIaMpwrkswY/r3E7wRehfHn22lhEmGdWed+iPGDHBnxUTGYaRNzUZxpfhOBlK+rZSZjU/IObOAojsy4ZDnwfOinoELgh+s48xCtn2WHql4qskXxW/5oeTPEj/sWGr5WbBb3UeQ9l+JvkY31/EXnJNGuRfle1Uk/1eyMOy22qakCRxlHy8P/r2LD18GWH83YpGw9KKadp8TcOjaJkkwZfv1u+M5kQIz2782vkoI4+HAjKnQzaH66bg/1b0XD48musgn3PmHfLWi4L/a8C3oqwYi3bmk935ZM9+GVaVoeDGHrS8Gcm387jH+jHgIeCuApklb33yDW8j8FTCWQDSY74VkCMaJR6vjb7xis9l/rL4KH78BnBHF75HyjdTYREfqPTJKIbxt7I05zGUyVFsJ/koZWSIUkRetpEWQaj6l3QmRbfysJFDko9ltNWscUjyUXYElQlx0mmQ3w3A30Qjh1nvVbR8O6FKk69F7532+k6CL21eTk4VwZd5WN36tfNR5uFITsqkQvlvOd9FJl3LfJ0yfu16+HJPEXiZtCc/mfN0RqsRxF4U/GbQMtFBvkHLg1a27ZU3Mhkakm8hMswvgiwCL7MxfxINhciJfTIxTeMnk9tanQWwGJDvff+n4SYHdmlIv52PMSN5Gfnf0WTGlscSa4BqY+OgaKLbSdEIiEzak/8tuRvza3ceQ4lu7Wc6jY+yukB8l9Ug3fj1Qh6W3VbTxCWprcgojnwWlByVVRjSw5cZ5t9MY1y5TLNQxe1ZxFMmjza3KfleXvWv2cf4DBWZryEdJumI/apqp5ru187HxhGHbvTwY1aSc/LyIXMzZIK1TOCTiY590cNvzo0XRD1meQP7UdRTlMSWJVIyBCO9e0l8OZRHBFfAycuB5q/VWQDSC5CzAv6DA4IvLrTyMWYkhxhJ0m9v8PX3AZkdX8VPZurKS5oksAyfycSyRn7tzmOowrf4Hkk+yjkQMsoU/0T4ZfJelT/f87CKtpomHp3aivgo31RXRD0/aSP7HeGd5gYFy8jMfGmfci68PPPk86SsFGh85rXK14K3zXR5Ox9lCaE8F6XXKi9K8URhMS6z5luekprpzukLJ/nY+FmzTMGXZdBS99cA34tGWmUeVcxK/JB5BDISKp1beVbKRPR5v37o4acPr5U0AkbACBgBI9CjBEzwezSwVi0jYASMgBEwAo0ETPAtH4yAETACRsAI9AEBE/w+CLJV0QgYASNgBIyACb7lgBEwAkbACBiBPiBggt8HQbYqGgEjYASMgBEwwbccMAJGwAgYASPQBwRM8PsgyFZFI2AEjIARMAIm+JYDRsAIGAEjYAT6gIAJfh8E2apoBIyAETACRsAE33LACBgBI2AEjEAfEDDB74MgWxWNgBEwAkbACJjgWw4YASNgBIyAEegDAib4fRBkq6IRMAJGwAgYARN8ywEjYASMgBEwAn1AwAS/D4JsVTQCRsAIGAEjYIJvOWAEjIARMAJGoA8ImOD3QZCtikbACBgBI2AETPAtB4yAETACRsAI9AEBE/w+CLJV0QgYASNgBIyACb7lgBEwAkbACBiBPiBggt8HQbYqGgEjYASMgBEwwbccMAJGwAgYASPQBwRM8PsgyFZFI2AEjIARMAL/D7oxRtQhZhXjAAAAAElFTkSuQmCC"
+     },
+     "metadata": {
+      "jupyter-vega3": "#67daf076-9e86-498b-aea1-125efb74fabf"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df[\"sugarpercent\"].vgplot.kde()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can look at the sugar and price percentile distributions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"vega-embed\" id=\"786bc007-b051-45fb-8a51-c2fbc6e6d459\"></div>\n",
+       "\n",
+       "<style>\n",
+       ".vega-embed svg, .vega-embed canvas {\n",
+       "  border: 1px dotted gray;\n",
+       "}\n",
+       "\n",
+       ".vega-embed .vega-actions a {\n",
+       "  margin-right: 6px;\n",
+       "}\n",
+       "</style>\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#786bc007-b051-45fb-8a51-c2fbc6e6d459"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"sugarpercent\", \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.011000000000000001}, {\"sugarpercent\": 0.011000000000000001}, {\"sugarpercent\": 0.90600002}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.90600002}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.046}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.127}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.90600002}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.127}, {\"sugarpercent\": 0.43000001}, {\"sugarpercent\": 0.43000001}, {\"sugarpercent\": 0.43000001}, {\"sugarpercent\": 0.093000002}, {\"sugarpercent\": 0.19699999999999998}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.22}, {\"sugarpercent\": 0.046}, {\"sugarpercent\": 0.26699999}, {\"sugarpercent\": 0.82499999}, {\"sugarpercent\": 0.82499999}, {\"sugarpercent\": 0.87199998}, {\"sugarpercent\": 0.30199999}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.96499997}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.84799999}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.19699999999999998}, {\"sugarpercent\": 0.22}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.59299999}, {\"sugarpercent\": 0.093000002}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.58099997}, {\"sugarpercent\": 0.034000002}, {\"sugarpercent\": 0.72000003}, {\"sugarpercent\": 0.40599999}, {\"sugarpercent\": 0.98799998}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.86000001}, {\"sugarpercent\": 0.73199999}, {\"sugarpercent\": 0.87199998}, {\"sugarpercent\": 0.22}, {\"sugarpercent\": 0.94099998}, {\"sugarpercent\": 0.94099998}, {\"sugarpercent\": 0.26699999}, {\"sugarpercent\": 0.26699999}, {\"sugarpercent\": 0.546}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.06899999799999999}, {\"sugarpercent\": 0.06899999799999999}, {\"sugarpercent\": 0.15099999}, {\"sugarpercent\": 0.56900001}, {\"sugarpercent\": 0.96499997}, {\"sugarpercent\": 0.41800001}, {\"sugarpercent\": 0.162}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.60399997}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.17399999}, {\"sugarpercent\": 0.465}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.546}, {\"sugarpercent\": 0.22}, {\"sugarpercent\": 0.093000002}, {\"sugarpercent\": 0.31299999}, {\"sugarpercent\": 0.18600000000000003}, {\"sugarpercent\": 0.87199998}]}};\n",
+       "var selector = \"#786bc007-b051-45fb-8a51-c2fbc6e6d459\";\n",
+       "var type = \"vega-lite\";\n",
+       "\n",
+       "var output_area = this;\n",
+       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
+       "  vega.render(selector, spec, type, output_area);\n",
+       "}, function (err) {\n",
+       "  if (err.requireType !== 'scripterror') {\n",
+       "    throw(err);\n",
+       "  }\n",
+       "});\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#786bc007-b051-45fb-8a51-c2fbc6e6d459"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {
+      "jupyter-vega3": "#786bc007-b051-45fb-8a51-c2fbc6e6d459"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df[\"sugarpercent\"].vgplot.hist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"vega-embed\" id=\"45560aa1-034d-43d3-989c-0927841cc927\"></div>\n",
+       "\n",
+       "<style>\n",
+       ".vega-embed svg, .vega-embed canvas {\n",
+       "  border: 1px dotted gray;\n",
+       "}\n",
+       "\n",
+       ".vega-embed .vega-actions a {\n",
+       "  margin-right: 6px;\n",
+       "}\n",
+       "</style>\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#45560aa1-034d-43d3-989c-0927841cc927"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"pricepercent\", \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"pricepercent\": 0.86000001}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.034000002}, {\"pricepercent\": 0.034000002}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.45300001}, {\"pricepercent\": 0.465}, {\"pricepercent\": 0.465}, {\"pricepercent\": 0.465}, {\"pricepercent\": 0.465}, {\"pricepercent\": 0.093000002}, {\"pricepercent\": 0.91799998}, {\"pricepercent\": 0.91799998}, {\"pricepercent\": 0.91799998}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.10400000000000001}, {\"pricepercent\": 0.27900001}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.44100001}, {\"pricepercent\": 0.86000001}, {\"pricepercent\": 0.86000001}, {\"pricepercent\": 0.91799998}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.97600001}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.023}, {\"pricepercent\": 0.83700001}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.27900001}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.96499997}, {\"pricepercent\": 0.86000001}, {\"pricepercent\": 0.06899999799999999}, {\"pricepercent\": 0.27900001}, {\"pricepercent\": 0.081}, {\"pricepercent\": 0.22}, {\"pricepercent\": 0.22}, {\"pricepercent\": 0.97600001}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.65100002}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.22}, {\"pricepercent\": 0.057999998}, {\"pricepercent\": 0.76700002}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.755}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.51099998}, {\"pricepercent\": 0.011000000000000001}, {\"pricepercent\": 0.32499999}, {\"pricepercent\": 0.255}, {\"pricepercent\": 0.90600002}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.11599999999999999}, {\"pricepercent\": 0.31299999}, {\"pricepercent\": 0.26699999}, {\"pricepercent\": 0.84799999}]}};\n",
+       "var selector = \"#45560aa1-034d-43d3-989c-0927841cc927\";\n",
+       "var type = \"vega-lite\";\n",
+       "\n",
+       "var output_area = this;\n",
+       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
+       "  vega.render(selector, spec, type, output_area);\n",
+       "}, function (err) {\n",
+       "  if (err.requireType !== 'scripterror') {\n",
+       "    throw(err);\n",
+       "  }\n",
+       "});\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#45560aa1-034d-43d3-989c-0927841cc927"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {
+      "jupyter-vega3": "#45560aa1-034d-43d3-989c-0927841cc927"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df[\"pricepercent\"].vgplot.hist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"vega-embed\" id=\"a66658e3-fb0d-49da-a169-6abc8c76e534\"></div>\n",
+       "\n",
+       "<style>\n",
+       ".vega-embed svg, .vega-embed canvas {\n",
+       "  border: 1px dotted gray;\n",
+       "}\n",
+       "\n",
+       ".vega-embed .vega-actions a {\n",
+       "  margin-right: 6px;\n",
+       "}\n",
+       "</style>\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#a66658e3-fb0d-49da-a169-6abc8c76e534"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"bin\": {\"maxbins\": 10}, \"field\": \"value\", \"type\": \"quantitative\"}, \"y\": {\"aggregate\": \"count\", \"type\": \"quantitative\", \"stack\": null}, \"color\": {\"field\": \"variable\", \"type\": \"nominal\"}, \"opacity\": {\"value\": 0.7}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.011000000000000001}, {\"variable\": \"sugarpercent\", \"value\": 0.011000000000000001}, {\"variable\": \"sugarpercent\", \"value\": 0.90600002}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.90600002}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.046}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.127}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.90600002}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.127}, {\"variable\": \"sugarpercent\", \"value\": 0.43000001}, {\"variable\": \"sugarpercent\", \"value\": 0.43000001}, {\"variable\": \"sugarpercent\", \"value\": 0.43000001}, {\"variable\": \"sugarpercent\", \"value\": 0.093000002}, {\"variable\": \"sugarpercent\", \"value\": 0.19699999999999998}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.22}, {\"variable\": \"sugarpercent\", \"value\": 0.046}, {\"variable\": \"sugarpercent\", \"value\": 0.26699999}, {\"variable\": \"sugarpercent\", \"value\": 0.82499999}, {\"variable\": \"sugarpercent\", \"value\": 0.82499999}, {\"variable\": \"sugarpercent\", \"value\": 0.87199998}, {\"variable\": \"sugarpercent\", \"value\": 0.30199999}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.96499997}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.84799999}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.19699999999999998}, {\"variable\": \"sugarpercent\", \"value\": 0.22}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": \"sugarpercent\", \"value\": 0.59299999}, {\"variable\": \"sugarpercent\", \"value\": 0.093000002}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.58099997}, {\"variable\": \"sugarpercent\", \"value\": 0.034000002}, {\"variable\": \"sugarpercent\", \"value\": 0.72000003}, {\"variable\": \"sugarpercent\", \"value\": 0.40599999}, {\"variable\": \"sugarpercent\", \"value\": 0.98799998}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.86000001}, {\"variable\": \"sugarpercent\", \"value\": 0.73199999}, {\"variable\": \"sugarpercent\", \"value\": 0.87199998}, {\"variable\": \"sugarpercent\", \"value\": 0.22}, {\"variable\": \"sugarpercent\", \"value\": 0.94099998}, {\"variable\": \"sugarpercent\", \"value\": 0.94099998}, {\"variable\": \"sugarpercent\", \"value\": 0.26699999}, {\"variable\": \"sugarpercent\", \"value\": 0.26699999}, {\"variable\": \"sugarpercent\", \"value\": 0.546}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.06899999799999999}, {\"variable\": \"sugarpercent\", \"value\": 0.06899999799999999}, {\"variable\": \"sugarpercent\", \"value\": 0.15099999}, {\"variable\": \"sugarpercent\", \"value\": 0.56900001}, {\"variable\": \"sugarpercent\", \"value\": 0.96499997}, {\"variable\": \"sugarpercent\", \"value\": 0.41800001}, {\"variable\": \"sugarpercent\", \"value\": 0.162}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.60399997}, {\"variable\": \"sugarpercent\", \"value\": 0.31299999}, {\"variable\": \"sugarpercent\", \"value\": 0.17399999}, {\"variable\": \"sugarpercent\", \"value\": 0.465}, {\"variable\": 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\"pricepercent\", \"value\": 0.51099998}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.10400000000000001}, {\"variable\": \"pricepercent\", \"value\": 0.27900001}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.51099998}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.44100001}, {\"variable\": \"pricepercent\", \"value\": 0.86000001}, {\"variable\": \"pricepercent\", \"value\": 0.86000001}, {\"variable\": \"pricepercent\", \"value\": 0.91799998}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.76700002}, {\"variable\": \"pricepercent\", \"value\": 0.76700002}, {\"variable\": \"pricepercent\", \"value\": 0.97600001}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.76700002}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.023}, {\"variable\": \"pricepercent\", \"value\": 0.83700001}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.27900001}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.96499997}, {\"variable\": \"pricepercent\", \"value\": 0.86000001}, {\"variable\": \"pricepercent\", \"value\": 0.06899999799999999}, {\"variable\": \"pricepercent\", \"value\": 0.27900001}, {\"variable\": \"pricepercent\", \"value\": 0.081}, {\"variable\": \"pricepercent\", \"value\": 0.22}, {\"variable\": \"pricepercent\", \"value\": 0.22}, {\"variable\": \"pricepercent\", \"value\": 0.97600001}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.65100002}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.22}, {\"variable\": \"pricepercent\", \"value\": 0.057999998}, {\"variable\": \"pricepercent\", \"value\": 0.76700002}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.755}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.51099998}, {\"variable\": \"pricepercent\", \"value\": 0.011000000000000001}, {\"variable\": \"pricepercent\", \"value\": 0.32499999}, {\"variable\": \"pricepercent\", \"value\": 0.255}, {\"variable\": \"pricepercent\", \"value\": 0.90600002}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.11599999999999999}, {\"variable\": \"pricepercent\", \"value\": 0.31299999}, {\"variable\": \"pricepercent\", \"value\": 0.26699999}, {\"variable\": \"pricepercent\", \"value\": 0.84799999}]}};\n",
+       "var selector = \"#a66658e3-fb0d-49da-a169-6abc8c76e534\";\n",
+       "var type = \"vega-lite\";\n",
+       "\n",
+       "var output_area = this;\n",
+       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
+       "  vega.render(selector, spec, type, output_area);\n",
+       "}, function (err) {\n",
+       "  if (err.requireType !== 'scripterror') {\n",
+       "    throw(err);\n",
+       "  }\n",
+       "});\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#a66658e3-fb0d-49da-a169-6abc8c76e534"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {
+      "jupyter-vega3": "#a66658e3-fb0d-49da-a169-6abc8c76e534"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df[[\"sugarpercent\", \"pricepercent\"]].vgplot.hist()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Compare it to the pure pandas example"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f73a1d405c0>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f73a1d5f6d8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df[[\"sugarpercent\", \"pricepercent\"]].plot.hist(alpha=0.5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's try some scatter plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"vega-embed\" id=\"2491dacc-fe72-4de8-bcf9-904781667f79\"></div>\n",
+       "\n",
+       "<style>\n",
+       ".vega-embed svg, .vega-embed canvas {\n",
+       "  border: 1px dotted gray;\n",
+       "}\n",
+       "\n",
+       ".vega-embed .vega-actions a {\n",
+       "  margin-right: 6px;\n",
+       "}\n",
+       "</style>\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#2491dacc-fe72-4de8-bcf9-904781667f79"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "var spec = {\"mark\": \"circle\", \"encoding\": {\"x\": {\"field\": \"pricepercent\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"sugarpercent\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"pricepercent\": 0.86000001, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.011000000000000001}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.011000000000000001}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.90600002}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.90600002}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.046}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.034000002, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.034000002, \"sugarpercent\": 0.127}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.45300001, \"sugarpercent\": 0.90600002}, {\"pricepercent\": 0.465, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.465, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.465, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.465, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.093000002, \"sugarpercent\": 0.127}, {\"pricepercent\": 0.91799998, \"sugarpercent\": 0.43000001}, {\"pricepercent\": 0.91799998, \"sugarpercent\": 0.43000001}, {\"pricepercent\": 0.91799998, \"sugarpercent\": 0.43000001}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.093000002}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.19699999999999998}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.22}, {\"pricepercent\": 0.10400000000000001, \"sugarpercent\": 0.046}, {\"pricepercent\": 0.27900001, \"sugarpercent\": 0.26699999}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.82499999}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.82499999}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.87199998}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.30199999}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.44100001, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.86000001, \"sugarpercent\": 0.96499997}, {\"pricepercent\": 0.86000001, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.91799998, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.84799999}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.97600001, \"sugarpercent\": 0.19699999999999998}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.22}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.59299999}, {\"pricepercent\": 0.023, \"sugarpercent\": 0.093000002}, {\"pricepercent\": 0.83700001, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.58099997}, {\"pricepercent\": 0.27900001, \"sugarpercent\": 0.034000002}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.72000003}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.40599999}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.98799998}, {\"pricepercent\": 0.96499997, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.86000001, \"sugarpercent\": 0.86000001}, {\"pricepercent\": 0.06899999799999999, \"sugarpercent\": 0.73199999}, {\"pricepercent\": 0.27900001, \"sugarpercent\": 0.87199998}, {\"pricepercent\": 0.081, \"sugarpercent\": 0.22}, {\"pricepercent\": 0.22, \"sugarpercent\": 0.94099998}, {\"pricepercent\": 0.22, \"sugarpercent\": 0.94099998}, {\"pricepercent\": 0.97600001, \"sugarpercent\": 0.26699999}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.26699999}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.546}, {\"pricepercent\": 0.65100002, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.06899999799999999}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.06899999799999999}, {\"pricepercent\": 0.22, \"sugarpercent\": 0.15099999}, {\"pricepercent\": 0.057999998, \"sugarpercent\": 0.56900001}, {\"pricepercent\": 0.76700002, \"sugarpercent\": 0.96499997}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.41800001}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.162}, {\"pricepercent\": 0.755, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.60399997}, {\"pricepercent\": 0.51099998, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.011000000000000001, \"sugarpercent\": 0.17399999}, {\"pricepercent\": 0.32499999, \"sugarpercent\": 0.465}, {\"pricepercent\": 0.255, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.90600002, \"sugarpercent\": 0.546}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.22}, {\"pricepercent\": 0.11599999999999999, \"sugarpercent\": 0.093000002}, {\"pricepercent\": 0.31299999, \"sugarpercent\": 0.31299999}, {\"pricepercent\": 0.26699999, \"sugarpercent\": 0.18600000000000003}, {\"pricepercent\": 0.84799999, \"sugarpercent\": 0.87199998}]}};\n",
+       "var selector = \"#2491dacc-fe72-4de8-bcf9-904781667f79\";\n",
+       "var type = \"vega-lite\";\n",
+       "\n",
+       "var output_area = this;\n",
+       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
+       "  vega.render(selector, spec, type, output_area);\n",
+       "}, function (err) {\n",
+       "  if (err.requireType !== 'scripterror') {\n",
+       "    throw(err);\n",
+       "  }\n",
+       "});\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#2491dacc-fe72-4de8-bcf9-904781667f79"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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sx4aLiOYqfReUDcvIUkAZInCSjZydYOZneVWY51638Sz5X67SPwCFfTDZPpiGJy355nkDgC4AOwBcUYekE8DdAN4A4CAAawA82AgbR/jJBpSb0s1K4c3GjJtuLnLWJWaWnpzNuOnmyhLnNAj+IwAKAJ4AcL8v7luqGuXDAP4UwCcBHOGnq1kMU92AFHzdcDZLn6VOYEbATS5yJudGBBgbjA3d2Eha8GX0/iReXc16EYBTAVxbVZGzAVwJYBGA4wB8wU8TWFcKPjuBbidwQ8ysFN7Uzbjp5iJnXWJm6cnZjJturrS+wz8GwBCAU/wKneGLe19dBQcBvAvA4QA+AuDRRgAo+LqhYZaeHdeMm24uctYlZpaenM246eYiZ11iZunbRfDPBHA5gMVV1VwAQB4A5G9vBTAMQDa0KPf399+klLq5HsmiRTIZwIsESIAESIAEpiaBoK8hkp7S7wDwFIDK6WS9AE4GsKyqiVb70/7/4P/tXwCcB2BvUDNyhO8muPmkTs6NCDA2GBuMDTcxoMs5acEXf7cCuAXAdn/1/XoADwM4Ub7iAHCJP50vW1LKN63/6r/zL1Hwkwsq3tTdsCdncta9qbshZlYK49mMm26utE7pSz1OAnAXgGn+u/lr/MrJYr5zAMhhE58D8CY/ze38LE+3+e2nZ8e1zzTIIjmTMwXfTQxMBc5pGOFbbU1O6VvF2dAYhYicp8IN0k0rm5XCPmjGTTdXljhT8HVbP4b0WQqoGPBYM0nO1lA2NUTO5MyHQTcxoMuZgp9su0yUzhukm0YgZ3LWvUG6IWZWCuPZjJturixxpuDrtn4M6bMUUDHgsWaSnK2h5AjfDUpyJmcjAmletGdUoUaZ+A7fKs6Gxiie5MzRspsYIGdy1iVAwdcl5jA9xdMNbHImZ4qnmxgg53Ry5pR+su0yUTqFyE0jkDM5U4jcxAA5p5MzBT/ZdqHgO+RPwXcDm5zJmYLvJgZ0OVPwk20XCr5D/hQiN7DJmZx1hcgNMbNSshTPFHyzGLCaK0sBZRWMZWPkbBloA3PkTM4UfDcxoMuZgp9su3CE75A/hcgNbHImZ10hckPMrJQsxTMF3ywGrObKUkBZBWPZGDlbBsoRvhug5EzOmgT4WZ4mMJfJKURuaJMzOXPk6SYGyDmdnDnC99tl3op7Z3n5DjU22rV369qFe3Wa69xl98zo7Oo6XvKMjY4+vXXtJft08lOIdGiZpw3LOUosmHsXnDOsz83KnV+47wTk8gejXHppuLh4j20f6+1V+3zmVXcfdcghM06XNC++uO+x7esvldMvU3fZ4Oy6UvQ5mHjU+3GzeHbRxjbuPxzhN2mpBYWBdYA3IdgTV1mtG1rTuy1M45677IGjOzv23+nBO0TSK6gXgfKNOjdWdtwwpKOnacVZbhRdHV23ATihUlqpjFVb1vTsiF66mYVWPreyumDF4NXwMKeSzgM2bS72bGiVL8rvFZ/nXrfxrFze+wcPmH6gb+Dll8fy87bd8ZEfRLEfR96onOPwqZVN+jyZ0MTDLXK3Vt+Px8anLdUdxFVbdsXZ5v2Hgt+g98jTVM7rkJv8K5eI9nCxt69Vh5Pf5xU29uaQ663NX358uNhXY7OZLVcBFaY+YdNk0ecFywfmIOddXcfgmaFiz2VhudhOF4Wz3Pw85O+s92mo2HOhbT+DbpDzrt+4Nae8d1T/VkL5/i3FxVfFWb6J7SicTcqzkYc+T6ZY/4A7kUJh21B/zzpT5q4427z/UPAbCX6AYEvSsDfFeYWBVTl4M6vNl6F2jRR7bwgbYK4CKqw/YdJl0eeghzedWAjDTTdNFM5BD7MH7n+lpTozUKY+zysMPJYDumv6hqe+N7K671xdm3Gnj8I5bt8a2afPk8nYuB/XW3XF2eb9h4LfoNcEjYKUUnuH+3uXhOnI868fuNBTXm1azSdKVwEVpj5h02TR57nLB2fnc6h7UFNPDxV760f9YTFFTheFs7xu6uoYrZm+Vx72Da/uqZmRiuxknYGKz/NXDH7R89TE+/vKVYLasKXYd6PtMqPai8K5UdkyYlN5/AnK2Ff21I4txb5HovpZnT8On236F2Qrbp8vKAwuUUDNDFbU11hx+1zhZPP+Q8FvEsnVQSI3RFUeXzXSf/HOMMEv7106OjpXvjrKV0+Pjk+7TeedkauAClOfsGmy6nNNLCi1F155VZyj4Va8o3KufiCV2PZKakPY9SmtfGs18pxz7RdOmt5Rvs/z1BskbRnY/cK+338wjQv3onKuZxE0ELC9HsS2z6btrZMvbp/r78cy2zo+Pnab7kLqpB6sbN1/KPgholKCJUpgmOaPuxOEqLp2Evqsjcwogy3OprFp4nS9z7JSP40iH+dNPWhqOeq75Pq2sBUbJm1smoc+m5LTy0fB1+PlNDU7gRvc5EzOrWYlbBGi4AeTZB+0FWHN7VDw3XA2KoWdwAibdiZy1kZmlIGcAU7pU/CNOo+lTGkW/FkAZGFRFwD53vmKujpfDmBp1d/ke/kjAbwQxKZYLKpCodBWGwrxBmkpyluYIWdydjXCl3ImFu3l1Gz5b6/s7bC9doLxzHjWjec0CKOsXC0AeALA/QDuBrClQUVOAnArgIWNKkrBZyfQ7QRuiJmVwpu6GTfdXOSsS8wsPTmbcdPNldYRfieAJ/Hqt7oXATgVwLUNKvglAH8NYBcFXzcE7KZnx7XLkw8pbniSMznrEsjSvS7pEf4xsscNgFP8RjgDwJUAgna5exuAO2SmrFmDcYSvG85m6bPUCcwIuMlFzuTMhxQ3MTAVOKdN8M8EIO/sFwfAF7HfDuDLld/6+/tvUkrdXJ920aJFyUYISycBEiABEiCBBAl0d3dP0vekBb8DwFMAKgfXyA5gJwNYFsDp+wBkAUzgYr1Keo7w3UQYR57kPBVGRG5a2awU9kEzbrq5ssQ5acEX9lsB3OKP3h8EsB7AwwBOBLBbTpwFcBiAxwDIor2mFwW/FSE7v2epE9ghEo8Vco6Ha71VcibnqfAAmwbBFxG/C8A0AI8CuMYHL4v5zgHwMwBvB/A/AJzdKiwp+K0I2fmdN0g7HFtZIedWhOz8Ts52OLayQs6tCNn5Pa2r9O3UrsoKBd860kCD7LjkPBVGRG5a2awU9kEzbrq5ssQ5DSN8Xf6c0rdKzMxYljqBGQE3uciZnPlg5SYGpgJnCn6ysTRROm/qbhqBnMl5KtzU3bSyWSnsg2bcdHNxSl+XmMP07ARuYJMzOVPw3cQAOaeTM0f4ybYLR/gO+VPw3cAmZ3Km4LuJAV3OFPxk24WC75A/hcgNbHImZ10hckPMrJQsxTMF3ywGrObKUkBZBWPZGDlbBtrAHDmTMwXfTQzocqbgJ9suHOE75E8hcgObnMlZV4jcEDMrJUvxTME3iwGrubIUUFbBWDZGzpaBcoTvBig5k7MmAa7S1wTmMjmFyA1tciZnjjzdxAA5p5MzR/jJtgun9B3yp+C7gU3O5EzBdxMDupwp+Mm2CwXfIX8KkRvY5EzOukLkhphZKVmKZwq+WQxYzZWlgLIKxrIxcrYMlO+W3QAlZ3LWJMB3+JrAXCanELmhTc7kzJGnmxgg53Ry5gg/2XbhlL5D/hR8N7DJmZwp+G5iQJczBT/ZdqHgO+RPIXIDm5zJWVeI3BAzKyVL8UzBN4sBq7myFFBWwVg2Rs6WgfLdshug5EzOmgT4Dl8TmMvkFCI3tMmZnDnydBMD5JxOzhzhJ9sunNJ3yJ+C7wY2OZMzBd9NDOhypuAn2y4UfIf8KURuYJMzOesKkRtiZqVkKZ4p+GYxYDVXlgLKKhjLxsjZMlC+W3YDlJzJWZOArXf4swE8DkD55U8DcAqAf9L0J7bkxWJRFQqFtnqQoRDFFg41hsmZnDnydBMD5JxOzmGF8VAA8s9/APgDAPv96swC8H8BzIhQPbGxAUAXgB0Argiw1QvgJgDi71IAWxqVR8GP0BIaWbMqnnMLG2/Nqdx8eOowpfCj/eP5v9p2x0d+oIHGatJ25nzmVXcfdejBB3/WA94uUEpeeceWYt/HrAKyZMw2Zxd1t+1zBeW5yx44ujO/fwk8zPTg7YXytg31X7R5buG+9TmVP8MDDlLA959/6aXLt6+/9FmdJjD1eX7hvhOgcj3iEzw8XS55m7es6RG9iP0y9Tl2x5oUEHWEvwzA7Q3s/zuA4yJU7hEABQBPALgfwN11gn4EgG8AOBXAwQCKAD5KwY9A3ELWLHWCCo651208K5/3/rEaT9lT3xtZ3XeuBWRGJtqZswhEHrlF1RUvQW3YUuy70QhGjJlsc3ZRd9s+V/DOL2xc6SF3Wk0/GC/vynV4l1b/TSnvseH+ng/pNIupz/NXDGzwPO/o6rJGx7uWbF27cK9O+SZpTX02KctWnqiCL37IyP4pAH8BYMx3bBzA1wH81NDRTgBPAuj281/kC/u1VfY+4v9NHjpaXhzht0RkJUGWOsErgh8gUPLbULH39VagGRhpZ87zCgOP5V7t2xO1T/oBqlET2Obsou62fa6wWVAY3FTPqeSVuvIq9646wf/lcH/Pu3XC2tTnQJ/KWOVilG/qsw4X22ltCL749GYAP/On33NVTr5s6PAxcj/11wGIiTMAXAmgr8qeCP1bALwJwFEAPgXga43Ko+AbtoRmtix1glcFf+OteXhLqlGUlXpupL/vRE081pK3M+cg0fOQe2hz8aLUTevb5ix195R3IjzVIWuePGDcQ27IZt1t+1wJ2vnXDw54qvY1bblcLuVy3vtq+gawe6TYe7pOsJv6HCT4ZTW+cqT/4p065ZukNfXZpCxbeWwJvkzpyJS6CG/1FXYtQH196gX/TACXA1hcJ/hzAFwA4I0AvurPNqj+/v6blFI31xtdtKhmFtEWQ9rJOIHnXxrFHQ/+EKVyZU0q8M7jX4dFfxzljVXGoTWp3mM/fBZbvvPzmhQf/uO34F3Hy1u6bF8PfPOneOyHtbPN89/7RvzJO+QWlu7r27t/je/s/s0rTnZ25HD2zNfj7m3/VtM3Zr/tCCx4r4zF4r+++eSz2PXT514p6JDpHVj4vrdiWmc+/sLbtITu7u5Juqwr1L8G8G1/Gl+m8yuXPASYXPL0K68Jjvczy+K8kwFUT9//uS/wsmhPLin/fACBi0U4wjdpBv08WXrqra69LLY6ZMb0qwH1WlUuffWhNZc8oE/HXo5253z+8nsWern82UJkdKzzb5NcANmsVWxznlcYWAXgHE/hSClXwftJ3sPGzcUeWaBs5bLtc7VT81bcOwtebqbnefvGxsa2bV17yb45137hpK7OsYlF1aZ9I4rPC5YPzCnn1NHVPlkB2cJIFJ9d+BdUhq0Rvkznvw3APosV2QrgFgDbATwIYD2AhwHINOpuADIc+CKADwA4zF/A94dVnwbWuELBt9gyTUxlqRO4IWZWCjmbcdPNZZuzCH4O3swaPxS2DfX3rNP1rVF62z7b8svlgxV9DiZgS/CvByCf0clK5sqneVLiQxHAnwTgLgDyTf+jAK7xbclivnP8NQOXAfgkAJm/kRW+w43Ky4rgX1AYXKKACyeepj21E6p813Bx8Z4InK1m5c3GKs6Gxsi5PTnPK2zszSEnM5avXmW1bmhN7zZbNWJs2CLZ3E6WOOtO6b/6crOWka6d2FoqC4IvU1fIeVdXQ1IoPz5c7LstNnCahrPUCTSr7jQ5ObvBHQdnEX3AkwESPA87hlf3Tlr9HqV2cfgcxZ8weelzGErR09ga4cu0evW7+4pn3GkvQhvVN07Q6EBBvThc7K3+eiFCidGzsuNGZxjGAjmHoRQ9DTlHZxjGAjmHoRQ9jS3BF0/e638X/78AyHR8YruQBWGJe4R/7rJ7ZuQ7OiY2pSiNT99lY+OHMIJfhto1Uuy9IXoo2LHAjmuHYysr5NyKkJ3fydkOx1ZWyLkVITu/2xL85QD6Ach39wcB+CYAmaZabcfN6FbiFPyJLSc79t/pwTuk4mnJwjd/E/0AACAASURBVOYP9Y0jDxWdnV0bar6Ftfz+LyppdtyoBMPlJ+dwnKKmIueoBMPlJ+dwnKKmsiX4skr/zwDIwpPX+Z/HyYI72RQnFVecgh801W5j5B3UOBMzCbmuWbm8OnpsbNoOGzMJNhuIHdcmzca2yJmcGxFgbDA2dGNDd7GdfIcvn8TJanERfNllaTOAw92gb11KnIJfvXK+4klcgt+6psmm4M3GDX9yJmfdm7obYmalMJ7NuOnmsjXC/3sAc/1v43cBkO9MPw/g47oOxZU+TsGff/3AhZ6q3XoVFr6tZSeIKxpq7ZIzOVM83cQAOaeTs+4IX97by7f48n28vMeXPe3XWt6IJxKpOAVfHFuwYvBqeJCtfiGj+/HxsdtkF6ooTlOIotALn5ecw7OKkpKco9ALn5ecw7OKkjJLnHUFX7jJZjCyUG+6/z6/5jjRKGBt5I1b8G34WG8jSwEVBx9bNsnZFsnmdsiZnDnCdxMDupx1BV9W4/+VL/avBSCnGXwaQGWf+2RrKSf7FIuqUCjo1itRv3mDdIOfnMlZ9wYZhVhlP3qxMT4+fZvthbeM5yitEz6vcL767544R/bxz6n8i6Ol/Y9EndUNX7pZSlvv8OX4p6v8rXXFkw8C+CyAxM4Lr8dBwTcLEN1cvNnoEjNLT85m3HRz2eY8d/ng7HwONftm2D7O1bbPusxM0rejz/cO71CD238ii9MnLtkEbWx87LI0i74twZcT6hYAeNyv+x/7B97UH5drEgtW8lDwrWBsaaQdOy59btmsVhKQMxB0eI4HbGqX0/KsBEKAkXaMjcLfPqR2/ftzrwi+VMvG/itxMRa7tgRfRvOXAvi+bA/tr9KX4x7lDPtUXBR8N83Qjh2XPjM2GhGwHRs8LS+YtG3OLiI6SPCRso3Q6jnYEnxZqCfv8GWVupxcJxvw3AHg9y7AhymDgh+GUvQ07dhx6XP0dg9jgZyBoD07lKc22DxAh5zDRGP0NGs+/4j6+vf31ozwFUpL03R6aVyC/3cAPgXgmegY47FAwY+Ha9iAclO6WSm8QZpx081FzoDslNmV71qioCZOy1Oe2jZS7BvQZdksPTnbpNnY1uP/8n316X/87o3wcjM9pfaWyt7AljU9O9yUblaKrRG+VFL20v+SmRvx56Lgx89YSuDNhpwbEWBsMDYYG25iQJez7udrXwFwNoCnALxQVdjsZKv3aukUfDctwZs6OevebNwQMyuF8WzGTTcXOesSM0tva4T/qHxSGuCC7LyXiouC76YZ2HHJmYLvJgbImZx1CdgSfN1ynaen4LtBTsEnZwqRmxggZ3LWJWBL8E8A8BkA7wHwRgBrAMhneT/WdSiu9BT8uMjW2qXgkzOFyE0MkDM56xKwJfgypf9b//Cc1wCQ0/OOA/ABXYfiSk/Bj4ssBd8NWXIm53AE+NAdjlPUVFnirLto73kAhwP4FYDX+aN8Gd0fEhWqrfwUfFskm9vJUidwQ8ysFHI246abi5x1iZmlJ2czbrq5bI3wZYe9jf4RuRcDkH/+C4C36zpUlV6+U5XXAl0A5LO/K+psnexv8POf/t+/4e/2F1gkBT9CS2hkZcfVgBUhKTlHgKeRlZw1YEVISs4R4GlktSX45wMYBCAn5cn1OwA9AB7S8KU+6SMACgCeAHA/gLsBbKlKJJ8BXhR2+14KfoSW0MjKjqsBK0JSco4ATyMrOWvAipCUnCPA08hqS/ClSJnSfy+AlwF81xd9DVdqknYCeBJAt/9XEfZTAVxblepCAO8HsCxMIRT8MJSip2HHjc4wjAVyDkMpehpyjs4wjAVyDkMpehpbgn8kgKX+Kv2yPwUvq/bl3b7JdQyAIQCn+JnPAHAlgL4qY/La4C8BSHmyf/91AL7eqDAKvkkz6Odhx9VnZpKDnE2o6echZ31mJjnI2YSafh5bgi/T7zLa3g1ARufHA5BDBWQUbnLVC/6Z/tT94ipjMwG8DcADAOR9v5QnnweW+vv7b1JK3Vxf8KJFi0x8YR4SIAESIAESyASB7u7uSYvydVfpPwdAttGVaXi5zvX31Z9hSKjD36ZXHhzk6gUgi/SaTd9/B8B8AL8MKpMjfMOW0MzGJ3VNYIbJydkQnGY2ctYEZpicnA3BaWazNcLf5E+p/8gv/yz/uNwPavpTnXwrgFsAbAfwIID1AB4GcKI/k/Ax/xPA2wG8FcDX/Hf+MsU/6aLgR2gJjazsuBqwIiQl5wjwNLKSswasCEnJOQI8jay2BP+b/vv7XQBy/hS7jLgr4mtyiM5JAO4CMA2AbOxzjV8vmUWQPfrlkJ77/G/+5acVAP5fo7pT8DWiIkJSdtwI8DSykrMGrAhJyTkCPI2s5KwBK0JSW4Ivo+uxJn4kfogOBT9ClGhkZcfVgBUhKTlHgKeRlZw1YEVISs4R4GlktSX48o59JOKneBpu6yel4OszM8nBjmtCTT8POeszM8lBzibU9POQsz4zkxy2BF8Wyl0A4J9NnHCRh4LvgjLAjkvOjQgwNhgbjA03MaDLWXeV/t8BOA/AsP9uvVKe7JSXiouC76YZsnxTP3fZA0d3do0ePbyqR9aqJHq55jznmvsXTJs2dvrI6r7rTSvu2mdTP6vz0edwFOdet/EsdOQP27L6oi+Hy1GbipxNqOnnsTXCl8V5Qavj5fO6VFwUfDfNkNWOO68wsCoHT/Z+gIJ6sVz2PrNlTY+c8ZDI5ZLzvBWDz+c8NfGJrYJXHi+pe79ye+/HdSvu0mdd33RHRLbsx2HHJeczr7r7qEMPPnir56k3HIgPvFwuqY9uub1P1nWFvlz6HNqpFgmz5LPuCF/Sqzo+l/r739viG8kOBT8SvtCZs9QJKpWeu3xwdj6HG+og7Bkq9sjukolcrjifd93A/+nM45LaSnr7h4o9B+tW3JXPun41S0+fm9OcW9h4ax7ekupUZU99b2R1n+zFEvoi59CoIiW0NcI/CsDVAN4EQMT/UADzAEyP5J3FzBR8izCbmMpix51X2NibQ04WptZcQ8Ue050kIzeGK85zC/d9N4/cxMxG9TVU7JXtrLUuVz5rOdUiMX1uJfj3rc8jV7OFaRnYPVLsPV2nHchZh5Z5WluCL9+/y7738tQvu+6J4Mve9rJZTiouCr6bZshixw0e4aunh4q98pCbyOWKc9AIXynsH+7v5Qg/kZZvXair2BBPOMKfvE1t6xZKLoUtwX/J3wBH3tu80z8aV46v/WRyVastmYLvpiVc3mxs1SiMzzXv8D3sK5ewbiq+wy8rqFIZn+c7fFvRZ99OmHi2Vaq8w3/NjIO+nPNPNlXw9pdL5Uv4Dt8WYbt2bAn+L/wp/Vv9U/PEyy/6I367Hhtao+AbgtPM5vJmo+law+RhfZZV+h35l44Z6b94p62yTe2E9dnUfn0+WaXfkf/9mV+5/RLZ0dLocu2zkZN1mehzOIqySl9540c8tOYSOcxM+yJnbWRGGWwJvkxtysl1MtKvnFn/TwDklLtUXBR8N83AjkvOjQgwNhgbjA03MaDLWXeVvtg/CMB+AAsAvBaAfI8p+92n4qLgu2kG3tTJWfdm44aYWSmMZzNuurnIWZeYWXpbI/zlAd/hy976/+qfYmfmncVcFHyLMJuYYsclZwq+mxggZ3LWJWBL8Ev+KXlB5a8EsErXMdvpKfi2iQbbo+CTM4XITQyQMznrErAl+CLqciyubLErrwP+q///3wXw/wF4i65jttNT8G0TpeC7IUrO5KxHgA/derxMUzfifN51A7d15LBIeeog5anNW1YvvtK0DNv5bAn+swBOBfC07+AfAvg6ADnTXlbwy/v9RC8Kvhv8vNmQM0eebmKAnNPH+bzl9yztzHUVqz0reaVHt6xefH6y3h4o3Zbg/wiA7Ju/xd9id77/Tv9uAB8CcHLSlaXgu2kBCj45U4jcxAA5p4/z3Ovveyiv8h+o9qwM9exIsTfxWW6bgj8bwP/0N90RuzKVf5W/Gc/PACR2yEgFPAXfTeeg4JMzhchNDJBz+jhPFcGvkJf3+HIFnZyXaOtQ8N3gz6rgX1AYXKKAyt75zyiUVg8XF+9xQ3VyKVnlnBRPimey5LMSz1NlSn8oIFxk8Z5M7afiouC7aYasdNxqWlP5tDybUZPF2LDJx5YtcrZFsrmdpov28uWPKOSmeyVvePj2nsvdeNS6FFvv8OV7+8olC/S6AchOezXvMlq7E18KCn58bKstZ/FmM5VPy7MZNVmMDZt8bNkiZ1skzQTfTelmpdgS/PrSzwLwcQAfM3PLfi4Kvn2mQRazeLNZsHxgDnJe3cl4U+O0PJtRk8XYMOEzb8W9s+AdOHJ4fHz6tq1rF+41sdMoDznbpNnYVpY4m2ytW03mDABbIx6eMwvABgBd/qK/KxqgnwHghwDkW8egVwsT2Sj47ASmN8hzl90zo6ujcxXgHV+xUSpj1VQ5Lc9W5GTpBmnKJOj1UFmNr7R5IBM5m7aOXr4scdYV/OeqUOUBHALgGwBO10NYk/oRAAUATwC4H4B84ief/dVft/uvDv6Ggh+BtqWsWeoE9UgmRmYyKisd/IztUZku/ixz1mURZ3rbnKuPWa747QGbNhd7ZHBj5bLtsxWnWhihzy4o2/sO/84qd5W/2c7fA5ANeUyuTgBP+msBJP9F/sY+lZP4KjZlWuxGAD/x1wxwhG9C22IedlyLMJuYIuf25Bwk+FDYNtTfs85WjRgbtkg2t5MlzrojfCHzBgC/BHAKAJn6/BIAOUDH5DrGH62LLbnkFYFM2fdVGRMfRwBcBuAvKfgmmO3nyVInsE/HnkVytseymSXbnOs+75woWnlqw/Dq3k22amTbZ1t+ueRMn4MJ2Fq01w/gWAB3APgmAJnWl331TT9HqBf8M31bi6uqcSmAwwGslVf01YLf399/k1Lq5voqL1q0yEUcsAwSIAESCCSwf6yEHT/6FX7xm5cmfv+jNx2Kk7uPIC0ScEagu7t70oBed4T/awDzAPQCeB+AjwLYDuAow1rINr1P+TMFYkLsyva8y6rsfdE/lEc2+ZFtC18A8OcAvhVUJhftGbaEZjaOLjSBGSYnZ0NwmtnIWROYYXJyNgSnmc3WCH8fgLcC2OZP5ctI/1cApmv6U51cVvnf4j84PAhgPYCHAZwoZwDUvS6oGeFT8CNQj5iVHTciwJDZyTkkqIjJyDkiwJDZyTkkqIjJbAn+VwG8GcAf+O/wFwI4L+KhOXLS3l0ApgF4FMA1fl1lMd85AGSP/spFwY8YCLays+PaItncDjmTcyMCjA3Ghm5s6E7pHwdANib5NoB7/c/pZLQfOL3upjlqS+GUvhvqvNmQs+7Nxg0xs1IYz2bcdHORsy4xs/S2RvhmpTvMRcF3A5sdl5wp+G5igJzJWZcABV+XmMP0FE83sMmZnCmebmKAnNPJWXdKP9lahCidI/wQkCwkoXhagBjCBDmHgGQhCTlbgBjCBDmHgGQhCUf4FiDGZYKdIC6ytXbJmZw58nQTA+ScTs4c4SfbLhOlU4jcNAI5kzOFyE0MkHM6OVPwk20XCr5D/hR8N7DJmZwp+G5iQJczBT/ZdqHgO+RPIXIDm5zJWVeI3BAzKyVL8UzBN4sBq7myFFBWwVg2Rs6WgTYwR87kTMF3EwO6nCn4ybYLR/gO+VOI3MAmZ3LWFSI3xMxKyVI8U/DNYsBqriwFlFUwlo2Rs2WgHOG7AUrO5KxJgJ/laQJzmZxC5IY2OZMzR55uYoCc08mZI/xk24VT+g75U/DdwCZncqbgu4kBXc4U/GTbhYLvkD+FyA1sciZnXSFyQ8yslCzFMwXfLAas5spSQFkFY9kYOVsGynfLboCSMzlrEuA7fE1gLpNTiNzQJmdy5sjTTQyQczo5c4SfbLtwSt8hfwq+G9jkTM4UfDcxoMuZgp9su1DwHfKnELmBTc7krCtEboiZlZKleKbgm8WA1VxZCiirYCwbI2fLQPlu2Q1QciZnTQJ8h68JzGVyClEt7QXLB+aUc+po+ev4+PRtW9cu3GujPeo5++UcD2CfB/X4cHHxHhvl2LTR7rFx3nUDt+Vz6gMqp14ol0oPfWXNJXfa5GPLVrtztsWhmZ15K+6dBS83E8AMBezZUux7RLdcF5yr/ARUeddI/8U7df2sTt/I5xoe5dyuLWt6dkQpx2ZeCr5NmpZtuegEll2O7UjfCwqDSxRwYcVfBfXi2Pi0pTZEv5rzvMLG3hxyvdVcFEpL0yb67Rwb868b/KyXx8eqGY+VRwtpFP125my7bwfZm1+47wQP+ZqHtTLKAyPFvgGd8uPmPHf54Ox8DjdU+1QqY1UUMQ7yWcQ+53XcVnP/8NSG4dW9m3R4xJWWgh8XWQt24+4EFlycZCIun+dfPzjgKcyIoyPVCv7Aqhw8Ga28cpncwOJgG2Z0EXe5UexXOM8rDPxHDt5RNbYUvj3U33N6FPtx5I0rnuPwtWLTpc9BD8hlqF0jxd4acW1V37h9nl/YuNJD7rTaB/ny48PFvhpxbuVnqz5oi4eOHzpp0yz4swBsANAFQKZErqir2HQAdwF4u//3mwA82KjyxWJRFQqFtlqbEHcn0AmUsGnj8nlBYXDSE7Ky9ORc7fOCwsA6wJPpfAp+2EYPmW6y4Cu/P3pKKTw53N/zrpCmnCWLK57jrIBLn4MEDlBPDxV7r9apY9w+zytMfpBXsC/49TORwsDkAUiHnU7aNAu+vAcqAHgCwP0A7gawpapyCwG8E4AI/VsAPAqgm4Kv0/z208bVcYOe0EfHu5bYntIP7LBqfGXU9322ScfF2bafQSOiecvv/Xoul68ZzZfHvXtH1vZ8NM7yTWy3M2eT+urmCZrC9oBNm4s9MlgLfcXNef71Axd6yltS41BZrRta07sttJN1CYN8Dnp1kKYZwrQKfieAJ6sE/CIApwK4tkHjnAlApmbeT8E3DV87+eLquOcuu2dGV75rSdlTx4inquxtivL+LUiI5G9SzrSOrt4S1Any/7kytkW5KdihOtlKXJzj8lfsVnyWhzcF/DfAO1T+7in8Rnlqme573zh9rdhuZ84u+EgZBxa5Yo78dx7env3jowNb116yT6d8F5xlNgLwZOZY7iA7o8ZbI5/l4UIpzK6UMz4+vkmXhw47nbRpFXy5qQ8BOMWvzBkArgTQF1C5HwJ4LYC5AL5LwddpfvtpXXRc217TZ9tEg+1VTelPWicRdXo1rhowNuIiW2uXnJPlnPS77nrBlxH85QAWN8Aio395n/8OeXTr7++/SSl1c33aRYsWuaHKUkiABBoS+NquZ/DjXzxf8/vstx2JWcceRmokQAIxE+ju7p6k70kLfgeApwBUFk/JZ1InA1hWxeI9AH4D4Cf+334A4AMAAr/N5qK9mKPIN88ndXJuRKASG+cue+Doro79KyuLI2VR0/j42G1pmfas9p/xzHhuFc9uCNkpJa1T+lK7rQBuAbDdX32/HsDDAE6U14EA/gKArOq9DMCb/JX8x04sigy4KPh2AqaVFd4gWxGy83sWOMt6iTSKPAXfTozqWMlCPOvUN6m0aRb8k/xp+mn+CvxrfEiymO8cAM/6n+3JNH4OmNhUYXMjkBR8NyHGjkvOU2FE5KaVzUphHzTjppsrS5yTntLXZd8yPQW/JSIrCbLUCawAickIOccEts4sOZPzVHiApeC7ifOmpfBm46YRyJmcp8JN3U0rm5XCPmjGTTdXmqf0devSND1H+FZxNjTGjkvOFE83MUDO5KxLgIKvS8xh+qDGkZ2ccnl1gbjhlb29o6XRDWla+JQGwZcDPaByPchhBsrYB6882OzwmzT4rBtW9FmXmFl6cjbjppuLnHWJASZaQMHX5+wsR33jBG1jCYVtQ/0965w51aKgNHTc+SsGNnieN3GMrlwHTtYbu6zRg1EafNZtP/qsS8wsPTmbcdPNRc56xEy1gIKvx9lp6kmCH3B0K4Bnhoo98mliKq6kO+6Bb7xHJ+3jXW6yH37SPps0HH02oaafh5z1mZnkIGc9asGHFrXWAgq+HmenqcMJvv7JVHFWIumOS8GPs3Wj2U46Nky8p88m1PTzkLMeM9NTCin4epydpq5vnCAxS9NJTAInDR23/ihMpdTe4f7e2pOyqloyDT7rBhZ91iVmlp6czbjp5iJnPWKmWkDB1+PsNHVQ48iCNAXvtDxyM1RZPZ22k9zS0HFlB7fOzs45OeUdXUJ5X6vTqtLgs25g0WddYmbpydmMm24uctYlBphoAQVfn7OzHOwEblCTMzk3IsDYYGxMhdjgxjtu4rxpKbzZuGkEcibnqXBTd9PKZqWwD5px083FEb4uMYfp2QncwCZncqbgu4kBck4nZ47wk22XidIpRG4agZzJmULkJgbIOZ2cKfjJtgsF3yF/Cr4b2ORMzhR8NzGgy5mCn2y7UPAd8qcQuYFNzuSsK0RuiJmVkqV4puCbxYDVXFkKKKtgLBsjZ8tAG5gjZ3Km4LuJAV3OFPxk24UjfIf8KURuYJMzOesKkRtiZqVkKZ4p+GYx0DLXxA5J+dFelVNHK6WeHh+fvmnr2oV7gzIGBdT5y+9ZmPM6PyknweVU7pHf7du3fvv6S59tWbCjBFnqBNXIJg6rQMefSLt55dyO0dL+R5I8pTCrnB2FaehiyDk0qkgJyTkSvtCZ+VleaFTRE8oOcF0dXXcCOKbK2p6hYs/SMII/97qNZ+Xz3j9Wp/WQe2hz8aKPRffOjoUsdtzA/fkTPqUwi5ztRKBdK+RslydH+G546nLmCD+Gdgk80hDA6HjXkqBRfv3NZm7hvvV55BbVuKa854b6e06MwV0jk1m8Qc6/fuBCT3k1e/HLkbvDxd4+I0gWMmWRswUs1k2Qs3WkgQbJOVnOFPwY+Mch+GWlnhvp76PgR2ivVjebQMH3sG94dU9vhGIjZW3lcyTjMWWmzzGBrTNLzuTMEX6xqAqFQqIPMhOHuuQ713med/SrDdL4eNtJI3xO6cfSk1vdIDmlbwd7K852SrFrhT7b5akrRG5KNyslS7GRqDD6+GcB2ACgC8AOAFfUNYv4uB7A+wGUAfwVgK82arpiCgRffBPxmNYxemEJ6oQ8vD37x7u0F+3lva7FylOvV1BffXHfy+u4aM+sw1Zyhem4lUV7ZU8d43nYMTY2to2L9vS4h+GsZzH+1PQ5fsZSAjknyzkNgv8IgAKAJwDcD+BuAFuqsMwH8HEAHwbwhwC+COAdaRd8nWZlJ9ChZZ6WnM3Z6eQkZx1a5mnJ2ZydTs4scU5a8DsBPAmg22+AiwCcCuDaqgY5GICk+x2AGQB+COCtFHydkLWfNkudwD4dexbbnfO8wsZez/NmChGl1K6RYt+APTr2LLU7Z3sk4rVEzvp85y4fnJ3Lqwskp1f29o6WRje0mnVM62d58tnaEIBTfAxnALgSQKNV0df7on8jBV8/cGzmYMe1SbOxrXbmLGKfQ652wWNZrRta07vNDb3wpbQz5/C1TD4lOeu1QeAC8BCfCreL4J8J4HIAiwOwfALAhwD8GYAx+b2/v/8mpdTN9WkXLar9ok0PMVOTAAnYILD5Wz/Df/729zWm/uiNh+KsmdXbU9goiTZIIJsEvr371/jO7t/UVO41B3Wi58zjWla4u7t70gx+0lP6HQCeAnC8772MBk4GsKyuNvIAIKN+EfyXm9U0LYv2WrZGVQI+9bamJYsgOzpenjORUpV3jfRfvLN1rtoU5KxLzCx9hfO8wsCqHA5M51cuD9i0udgji3RTdTE23DQHOetxDpwlQ+MvvirW0zrCF/+2ArgFwHYAD/or8h8GIN+c7wYgn7Z9CcBZAGqHCwHsKPh6AWWa2mXHDfpcTnlqw/Dq3k06/rv0WcevZmnb2ecFywfmIOddXV2/shpfafKwZotnIzvtzDluNjbtk7MezaB7XxnlgVZrYdIs+CcBuAvANACPArjGRyKL+c4B8Of+p3jV+9C/D8ALQego+HoBZZraZccNesotQxaA9d6g479Ln3X8yqrgS71kwVFHDjNLKO8znZmxxTLLnF0wslEG+6A+xfmF+05Q8E7LIzdDldXTYdbApFnw9Qk0yUHBt4qzoTGXHZeCP/ldnJtWNivFZWyYeTg5F322RbK5HXJOlnPS7/Ct174i+BMH2OS7lsDDxDvEMsqPjxT7UvfuUHxjJ2geBkFTwwixUrXeKjlb726BBsmZnBsRYGwkGxuZFfygUaHJe18XzcNO0Jrygfb0ZiuFGR68nWG+RaXgt+YaRwrGcxxUOSvhhmq2OWdY8CevEFYoPz5c7LstqcDhU2+y5ClEbviTMznzXucmBnQ5TynBb7dPgmTTBS/focZGu/YGHaubZEjxpu6GPjmTs+5N3Q0xs1IYz2bcdHNNuUV7sjo4n0PNKu52+SRoYv1BR5fMRJxQaehSGau2rOmRw4VScbHjumkGciZnCr6bGJgKnDM7wpfGkxEyvNzEor3x8enb0jZKrgRY/U096Fx2k8/Q4uwmFKI46b5qm5zJeSoIkZtWNislS30w04Jv1rzuc9UHVPCCQ+wbXt1Tuy+5e1dfKTFLnSBBjC2LJueWiKwkIGcrGFsaIeeWiKwkmHJT+laoOTJS3zhBn6GlbcFho4CS1xGd+c6rPc+bLfiUUjvGSmPrWp3u5AI1bzYuKPMzUzeUyZmcGxOg4LuKDoNyghpnfmHjSg+503zR3AuvvGq4uHiPgflYsjQKqDR/DknBjyUUJhklZ3Lmawg3MaDLmVP6ybbLROnNbpAyYk7D6LgeU2PBn/w5ZFrWH1CI3AQ7OZOzrhC5IWZWSpbimYJvFgNWc2UpoBasGLwaHg6cale5DHbFswrYN5YlznHwsWWTnG2RbG6HnMlZ98GKgu8mZpqWkqWOO7F3QK7jBk9hhlRaedgHVVqZhtcRWeKcgrBt6AI5u2kdciZnCn6xqAqFQls9yGSt404c6ZjbP0uCcbQ8bWdaPofMXmcYtQAAFidJREFUGmc3tzv9UshZn5lJDnI2oaafJ0uc20oYwzQVT8sLQyl6mix1gug04rNAzvGxrbZMzuSsO1p2Q8ysFK7Sb8JNduXL5dUFksQre3tNDmYJ0yyyAK+jo6PX87zjJX1ZqW1bin2P8GYThl70NOQcnWEYC+QchlL0NOQcnWEYC1niPOVH+BPTzx2jNcfmKk/tHF7duzJMMOikCVrQJtv9rv+L932vu5tnnuuwNEmbpY5rUn9XecjZDWlyJmfdWYkpL/iBZ60DGCr2XGg7nBYUBtYBB0b3lauM8sD6y07bSMG3TXuyPd4g42csJZAzOesKkRtiZqVkKZ4p+MsH5iDnXV0fCnEI/rxC0DfqFHyzbqifK0sdV7/27nKQsxvW5EzOug9WU17wJ7aC7ezaUPmMbAJgTN+NB+5Ch9LSz1w2ezdH+PF3Xt4g42fMEb4bxuRMzs0IcNFeEzryHr+j4+U5eeRmlD21d3h176a4wkleIXg57/gSyvs8qMfl+3QKUVy0a+2SMznrjojcEDMrhfFsxk03V5Y4T/kRvm7jx5E+SwEVBx9bNsnZFsnmdsiZnPlg5SYGdDmnQfBlgxZZJd8FYAeAKwIqcRKABwHcAeCzzVDyO3w3gcabOjnr3mzcEDMrhfFsxk03FznrEjNLn+Yp/UcAFAA8AeB+AHcD2FJVzU4AXwHwJIDvUfDNAsB2LnZc20SD7ZEzOfPByk0MTAXOSY/wRcxFyLt92BcBOBXAtVXwcwCm+X/7FQU/2eCvlE4hctMO5EzOU0GI3LSyWSlZ6oNJC/4x8sk7gFP8pjgDwJUA+gKa5kYAkQW/skAPwIycyj8z1H/RZrMwsJcrKKDmF+47QcE7TfxUwB7Zkc9eidEtZakTRKcRn4V25yy7WHq58kxADlEq7xrpv3hnfLTMLbc7Z/Oau81Jzm54p3VKv17wzwRwOYDFYQS/v7//JqXUzfVpFy1aFEh1/1gJg9t/gtHx8iu/H3vUDJz77je6aYWQpbzw+3EMbn+6JvV7ug/Hyd1HhLTAZCSQPIEf//x5fO37z9Q4Mv+9b8IbDz84eefoAQlknEDQp95Jj/A7ADwFoLL7XC+AkwEsCyP4Qe3VbNGeHN2a8zpuq88XxyY7OrFU/zQW9L0+gD1DxZ6lOnbjTMsn9Tjpvmq7nTkHbTTlAZs2F3tqtrJ2Q7J5Ke3MOQ38wvpAzmFJRUuX1hG+1GorgFsAbPdX4q8H8DCAE2WXTgBjftUjT+nL9GI+hxvaUfCVUnuH+3uXRAsDe7nZce2xbGapnTkHCX5cm1pFbY125hy17i7zk7Mb2mkWfPnk7i5/Yd6jAK7xkchivnMAHAXg8/6/xwH8FoC8639Od4Qv7+87O0fXVe+qV4baNVLsnfQQ4KZZDpQyaYQfNBMR0+5/pvVkxzUlp5evnTkHzlSV1bqhNb3b9CjEn7qdOcdPx14J5GyPpclAIekpfeu1b/Udvkzrw8vLqwPklPfMaKlrYOvahXutO6JhMKgTHFjspCYO8MnD27N/fHRg69pL9mmYjTUpO26seF8x3u6cRfQBT/bagOdhR5y7WEZpkXbnHKXuLvOSsxvaaR7hWyXQSvCtFmbJGDuBJZAtzJAzOTciwNhgbEyF2JhyI3w3Ya1XStDN5syr7j7qkBkHXZBH7rhSqbRty+19X9OzGm9q3iDj5VuxTs7kPBWEyE0rm5WSpT5IwTeLAau56gNKxP7QGQd9ywOmVwpSJawdvr13rdWCIxjLUieIgCH2rOQcO+KJAsiZnKfCgxUF302cNy2l/mYzt7Dx1jy8mhX5Snm/HO7veXcK3OUN0mEjUIjcwCZncqbgu4kBq6Vk4R3+3MJ96/PI1ewepODtHy72HGsVVgRjvEFGgKeRlZw1YEVISs4R4GlkJWcNWBGSctFeBHhxZ61vnPnXDSzz8rWbD5U99b2R1X3nxu1LWPvsuGFJRUtHztH4hc1NzmFJRUtHztH4hc1NwQ9LKoF0QY1zQeEf/16hfL64UwZ2q5K6IU0L99hx3QQKOZPzVJhqdtPKZqVkqQ/yHb5ZDFjNlaWAsgrGsjFytgy0gTlyJmc+pLiJAV3OFPxk22Wi9O3f2qlWf3HnxAmB4+PTtyW9EVAYJFm9qZ+77J4ZHR0dExseqXLu6S1renaE4RFXmqxyjouXqV1yNiWnl4+c9XiZpuaUvim5mPPJTmTvOPbwjbv+/bmJY3oV1Itj49OWpl30s9hxRew7Ozo/58E7pNLsZZQHRop9AzGHQUPzWeScFMtm5ZKzm1Yh52Q5c4Tvhn/DUhYUBtbNPPaw/1YRfEmYtMiEQZLFjjv/+oELPVX7OSSAZ4aKPZeFYRJHmixyjoNTVJvkHJVguPzkHI5T1FQc4UclGFP++dcPDsx66+t6KPgxAa4y2+pm0+BYYiR5fHIrn+Onpl8CfdZnZpKDnE2o6efJEmeO8PXb32qO+YWNK2cde/itNYKvxleO9F+802pBlo2loRPML9x3ArzcJzzlzVKe2lkueZubvXNv5bPY85C/sxqVQvnx4WLfbZbxhTbXyufQhhwmpM9uYJMzOTciwBG+m9jQLkXeG39w9nEvDn/7F4OeUnvLUDuSfGcctgJpuNnI7Ej1UccH1j+MXdboVMEwPh+Y1scc5XlHQ5V3jY2P35nkKYVhfA7bZq7S0Wc3pMmZnCn4xaIqFAptNXPBjqvfcYNG42Kl3GR2hJz1OZvkIGcTavp5yFmfmUmOLHFuK2EM01hZ2Fo3TD2TTpN0J5CZka6Orkmr5yn4SUcGD6Jx1QJJ90GTetJnE2r6eTilr8/MWQ52AjPU8woDq3LwZr6aWz09VOy9Wneay6x0N7kYG+TMeHYTA1OBM0f4ycbSROm8qZs3woLlA3PKOXW053n7xsbGtjV7307O5px1cpKzDi3ztORszk4nZ5Y4U/B1Wj6mtFkKqJgQWTFLzlYwtjRCzi0RWUlAzlYwtjSSJc4U/JbNHX+CoIC6oDC4RAEHtnj11E6o8l3DxcV74vcmXAlZ6gThapxMqnbmPLFzYWfnDfLZ5AQ9hW2jpdENSX71MBWmbZOJ1HCltnM8h6thOlLxHX462iHQi/rGkWlq5Lyad9FJfw9e7zg7rpuAamfOC1YMXg0Pc6pJKU9tGF7du8kNvfCltDPn8LVMPiU5u2mDNAu+PP1vANAFQA4quSIAyVoA58jZMv7v32qELQur9IN2fJNvzIeLvRMH7KThYsd10wrtzHnyokoZ5Ce7kRFH+G7ilpzTyTkNU/qPACgAeALA/QDuBrClCtf7AawAsADA2wHcBeC0qSb4ZahdI8XeG5INo1dLb2chSgvDMH60M+cgwU/rORHtzDlMHKUlDTm7aYm0jvA7ATwJoNvHcBGAUwFcW4XlZgA/9R8E5M8/ADAbwPNB6LIwwj/w7rNrQ/UuciirdUNrere5CZfWpbDjtmZkI0U7c5634t5ZOa/jlW2JlYd9UKWVaVqLUmmjduZsI85c2SBnN6TTKvjHABgCcIqP4QwAVwKonrr+Wz/NsJ/mYT/Nj7Mq+FIvEf18rmtWLq+OHhubtiNtx+Wy4ybbcd2UblZKdWycu+yBo7ty+ycW7Y2Wx3akccGe+MZ4Nmtr3VzkrEvMLH27CP6ZAC4HsLiqmvWCL6NcSfNUf3//TUopmQF45erq6lKjo6NpeFVh1lLMRQIkQAIkQAIRCBx11FHjn/jEJ2QGveZKWhg7RLgBHO971QvgZADLqrz8FIBfAvic/zd5BSAzAi9kZYTfjq8h6HOE3qiRlZw1YEVISs4R4GlkJWcNWBGSNuKctOBLlbYCuAXAdgAPAlgPQKbtT5SZNl/cPw3gTwG8G8BnAMjUf+DFgIoQJRpZyVkDVoSk5BwBnkZWctaAFSEpOUeAp5E1zYJ/kr/yfhqARwFcUzWSl0/xfgagCOA8APsBfBLAdyn4Gq0fQ1J23BigBpgkZ3Lmvc5NDEwFzmkY4VttTd4greJsaIycyXkq3CDdtLJZKeyDZtx0c2WJc+YEXxbyrVix4m90GzXJ9PTZDX1yJudGBBgbjI2pEBuZE3w3YctSSIAESIAESKC9CFDw26u96C0JkAAJkAAJGBHIquC32p//NQAGALwJwLMAegD8xoigXqZWfok1WcQoXyvcAeCzeuZjSd3KZ4kh+bJCtkAuA/grAF+NxZPwRlv5PN1fKCpbNct1k888fAn2U7byuVLiDAA/9Defkk2rkrxa+Syf2Mq+Gf/pO/kNAJcm6TCAVj6Le/J5sMSExPbSuq2+k3C/lc+yL4n4WbnkM+cjG3267KgCrXyWb8RlG/U3ADgIwJo26IPyGbl8Hv4uAC8BuMT/kixupDkA8qXaJ3xeQeWFOm8mq4Lfan9++bb/ZT/I/iuAt/r79cfdcK38kk7wFX+74e+lRPBb+TwfwMcBfBjAHwL4IoB3xA2yhf1WPi8E8E7/pv4W/+uQyvbOSbneyueKX7cD+AAAWaeStOC38vlsALJdtghSWq5WPh8BQB5MZIvvg/0vhD6asPOtfK52TwYMtwKQGE/yauWz3C/kU2v56kqYy1kqae+D8iAoX4t9zD/PRc42+TMHkGVfGnnAkPLeHFBe6PNmsij4Yfbnl8//ZKQh58vL9r4j/oY/cbZdGL/kSU4+T5SzBH6VAsEP47PcFCXd7wBURp/yAJXUFcbnat9kd0fZ7106TVJXWJ9nArgRwE8A/FPCgh/G5wt9rtUbaSXFWMoN4/NHfLFvJ5+rmX4JwF8D2JUg6DCc5WFQtlFfBOA4AF/wuSfldhifZaD4c392UPyUM15c3OvkvrrP/0Q9SPBDnzeTRcEPsz+/TIm+14foquHC+FUJdrmpp0HwdXwW36/3RV/8T+rS8Vni4LUA5jbb28FBRcL4LH1VHkwvA/CXKRD8MD5f7Psqr3ryAK4D8HUHPBsVEcZnEXqZ9ZHXfUcBkJv811Luc8W9t/mvAuVk0SSvMJzFv0F/evxwAPKgJQOxpK4wPsusiYzyxVeZxfxn/9WJDHZcXLInTZDghz5vZioIftD+/GkQ/CC/0i74zXyW90sf8qe4xlxEf4My6jtuM5/FhEzdypHL0oFVQn6H8VlmpOTGKO/qZCOqpEf4YXyWGQkRoQf8d+ebAZwAoJRiziL4cwBcAOCN/nqUP0h5bFRwyrof2bH0ywnxrRQbJjbkoUQOSZNzU2SULIejSR+Uh8MkrjA+ywysrDWQ01q/5R/ZLgPHtAn+K+fN1IPMouCH2Z9f3i/JuyPZx18WjciNSBouziuMX2kT/LA+S6eVziuCL2sjkrzC+Pwef5GmTI3LJUcuy3vxvQk5HsZnWRshI0+5Icq/5SyJP/dvPEm4Hcbner++A0DWfMjZGElcYXwWpiLwsmhPrm8DON9f3JtWnyt+fd8Xo8BzRhw6H4bzan+t0j/4fv2L/348zX2wGmEXgH9zNKVfKbfRCD/0eTNZFHyBE7Q/v0wXyaIyGd3L4geZYpQ9/GUrXxk5uZiGbuVX2gQ/DEuZ+pT3hmcB+L3Dm0qzolpxloWastJWpsfF/x0Ajk1wdBGGc3V90zDCD+Oz8H0dAFloKKM4mRqXhVlJjeLC+Px6f+GpPAAe5i/gk/tGUrM/YXyWNOLrY/5XPmnohq36oMwISh+8yo+Rf/VjI6nZnzCcT/MX7F3hr9CXdQiyYNnVVS/42ufNZFXwg/bnl44s06Dy9H4IgPv8kdIv/GklF9MyrfySw4E+7787HAfwW/+goOdcRVRAOa18lvf28ile9ZP5+xL+JKiVz7IwcoM/hSjTdPIAKLM8SV6tfE6j4LfyWdZHSD+TqXG5VgD4f0lC9gVRXuFUn91RfW8Q9+RBRWYAZVAgAwGZbk7yasVZfJNPTP8HABGhNFytfBb+8ombPHDLf8tDoXyOnOTVymeJh43+wW6iGzKrKffouC/hJPdUeT32I9+HVf4MidZ5M1kV/LgbgPZJgARIgARIoK0IUPDbqrnoLAmQAAmQAAmYEaDgm3FjLhIgARIgARJoKwIU/LZqLjpLAiRAAiRAAmYEKPhm3JiLBEiABEiABNqKAAW/rZqLzpIACZAACZCAGQEKvhk35iIBEiABEiCBtiJAwW+r5qKzJEACJEACJGBGgIJvxo25SCArBB72N6KS/cGzcMle+P8bwPNZqAzrQAI2CVDwbdKkLRJoPwJyaIjsNpjU/vY2ickumnI+hpw1INuQ8iIBEqgiQMFnOJBA9gjIEbRyvvezAOS0QDm0Rs4dl21AZa9yGQHLWfVyjsSSqhG+CKUctfl+f6vkAoD/C+AgAP/TPwnxJQCf8bdC/bR/JPJ/9w/ykVG1bDcqB87IqXhSjpxGKOK71D/jQs602A/gNQC+B+By/x85OleOo5U92GWfddnqWvy7FsB0f+tj2cNcDmeSOsg2sqf7243KdtS3AfiPqqaUrUjljAReJEACPgEKPkOBBLJHQKbpRejluFHp47sAyOlkfw1Azmj4OYAP+6NhEXQ5W0Km9B8CcLx/OpwcaiIPAzJq/kt/b3nZr10OGZJzwE/x08kBVHJ07/2+0MuZClK2PHTIw4E8WIgteXiQB4oh/4FCzhX/hm/vm/4DgRzrKf+IgI/4/y2HMu0EIIerrPePB5Y67PbtyEFIUi/ZB/0M/yFDfN6T8IE32Ysq1qjtCVDw274JWQESmERABF9OTzvZ/0UO3BCBnOcL/t8BEKGUq/IO/4/90w7/l38YUrVREWYZqb/o/1EOO5GRt5wyKYJ/qH9YktiV42WlbDk5cdQfkct9RvLIEdR3+kdSy8ODXHI4jdiQU/WqD7CSw0HkYKbK32TGQg446vHrIOIvhzaJyMsZ8Of5h/T8H07ps0eQQDABCj4jgwSyR0BE/AgAcvqiXCL2ciz0Al8s1/oj7mrBF+EUkZape5l+l5PBZNpdRF6m2UXEK/YqxOrFWk6huwiAnJJXsSWiXH3VLxKUc+dv9u3LqZAz/FkJmc7/m4AHAbElI/xKHWRmQmYI5gKQU+8o+NmLZ9bIEgEKviWQNEMCKSIgoipT4XMAdPlH0n7KH0lXi2W14ItwynS6nFt/rj8NL1Px8i5epuxF3MWmjObFlkz3L/RtLgfwgH/evcwmSLlfBfBmAHJ8p4zKJe8H/an6yisEKb8y/S8zBvJKQY6w/gKAAQDyvl/+/mUAdwOQGQT5eyPBP9J/HSAzGVIXmWHgRQIk4BOg4DMUSCB7BETwZZT9n774inDKO3OZHm8m+PL+Xs7eFvGX875X+u/mZdRdWbQnC+5k0Z5MuVdG+LJgTkbyT/vlyDt3eY8ui/ZO89cMyO9yrnzQZ4AympdZBfH5K/56AVlgKA8SV/trDCSvPGTIuoBGgi+zGLJ2QIT/fH+qP3utyxqRgCEBCr4hOGYjgRQTcPVtfUXwZRW/rJ7nRQIkkGICFPwUNw5dIwFDAhR8Q3DMRgJZJkDBz3Lrsm4kQAIkQAIk4BOg4DMUSIAESIAESGAKEKDgT4FGZhVJgARIgARIgILPGCABEiABEiCBKUCAgj8FGplVJAESIAESIAEKPmOABEiABEiABKYAgf8fAdI+XACjWgoAAAAASUVORK5CYII="
+     },
+     "metadata": {
+      "jupyter-vega3": "#2491dacc-fe72-4de8-bcf9-904781667f79"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.vgplot.scatter(x='pricepercent', y='sugarpercent')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"vega-embed\" id=\"aceb80ee-9f3b-45bb-92b5-11953144fb9a\"></div>\n",
+       "\n",
+       "<style>\n",
+       ".vega-embed svg, .vega-embed canvas {\n",
+       "  border: 1px dotted gray;\n",
+       "}\n",
+       "\n",
+       ".vega-embed .vega-actions a {\n",
+       "  margin-right: 6px;\n",
+       "}\n",
+       "</style>\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#aceb80ee-9f3b-45bb-92b5-11953144fb9a"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "var spec = {\"mark\": \"circle\", \"encoding\": {\"x\": {\"field\": \"winpercent\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"sugarpercent\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"winpercent\": 66.971725, \"sugarpercent\": 0.73199999}, {\"winpercent\": 67.602936, \"sugarpercent\": 0.60399997}, {\"winpercent\": 32.261086, \"sugarpercent\": 0.011000000000000001}, {\"winpercent\": 46.116505, \"sugarpercent\": 0.011000000000000001}, {\"winpercent\": 52.341465, \"sugarpercent\": 0.90600002}, {\"winpercent\": 50.347546, \"sugarpercent\": 0.465}, {\"winpercent\": 56.914547, \"sugarpercent\": 0.60399997}, {\"winpercent\": 23.417824, \"sugarpercent\": 0.31299999}, {\"winpercent\": 38.010963000000004, \"sugarpercent\": 0.90600002}, {\"winpercent\": 34.517681, \"sugarpercent\": 0.60399997}, {\"winpercent\": 38.975037, \"sugarpercent\": 0.60399997}, {\"winpercent\": 36.017628, \"sugarpercent\": 0.73199999}, {\"winpercent\": 24.524988, \"sugarpercent\": 0.046}, {\"winpercent\": 42.272076, \"sugarpercent\": 0.73199999}, {\"winpercent\": 39.460556, \"sugarpercent\": 0.73199999}, {\"winpercent\": 43.088924, \"sugarpercent\": 0.127}, {\"winpercent\": 39.185505, \"sugarpercent\": 0.73199999}, {\"winpercent\": 46.783348, \"sugarpercent\": 0.90600002}, {\"winpercent\": 57.11974, \"sugarpercent\": 0.465}, {\"winpercent\": 34.158958, \"sugarpercent\": 0.465}, {\"winpercent\": 51.41243, \"sugarpercent\": 0.465}, {\"winpercent\": 42.178771999999995, \"sugarpercent\": 0.465}, {\"winpercent\": 55.375454000000005, \"sugarpercent\": 0.127}, {\"winpercent\": 62.28448100000001, \"sugarpercent\": 0.43000001}, {\"winpercent\": 56.490501, \"sugarpercent\": 0.43000001}, {\"winpercent\": 59.236121999999995, \"sugarpercent\": 0.43000001}, {\"winpercent\": 28.127439000000003, \"sugarpercent\": 0.093000002}, {\"winpercent\": 57.21925, \"sugarpercent\": 0.19699999999999998}, {\"winpercent\": 76.7686, \"sugarpercent\": 0.31299999}, {\"winpercent\": 41.389557, \"sugarpercent\": 0.22}, {\"winpercent\": 39.141056, \"sugarpercent\": 0.046}, {\"winpercent\": 52.911392000000006, \"sugarpercent\": 0.26699999}, {\"winpercent\": 71.46505, \"sugarpercent\": 0.82499999}, {\"winpercent\": 66.574585, \"sugarpercent\": 0.82499999}, {\"winpercent\": 46.411716, \"sugarpercent\": 0.87199998}, {\"winpercent\": 55.064071999999996, \"sugarpercent\": 0.30199999}, {\"winpercent\": 73.099556, \"sugarpercent\": 0.60399997}, {\"winpercent\": 60.800701000000004, \"sugarpercent\": 0.73199999}, {\"winpercent\": 64.35334, \"sugarpercent\": 0.96499997}, {\"winpercent\": 47.829754, \"sugarpercent\": 0.31299999}, {\"winpercent\": 54.526451, \"sugarpercent\": 0.31299999}, {\"winpercent\": 55.354046, \"sugarpercent\": 0.84799999}, {\"winpercent\": 70.735641, \"sugarpercent\": 0.60399997}, {\"winpercent\": 66.47068, \"sugarpercent\": 0.31299999}, {\"winpercent\": 22.445341, \"sugarpercent\": 0.19699999999999998}, {\"winpercent\": 39.4468, \"sugarpercent\": 0.22}, {\"winpercent\": 46.296597, \"sugarpercent\": 0.465}, {\"winpercent\": 69.483788, \"sugarpercent\": 0.59299999}, {\"winpercent\": 37.722336, \"sugarpercent\": 0.093000002}, {\"winpercent\": 41.265511, \"sugarpercent\": 0.60399997}, {\"winpercent\": 37.348521999999996, \"sugarpercent\": 0.58099997}, {\"winpercent\": 81.86625699999999, \"sugarpercent\": 0.034000002}, {\"winpercent\": 84.18029, \"sugarpercent\": 0.72000003}, {\"winpercent\": 73.43499, \"sugarpercent\": 0.40599999}, {\"winpercent\": 72.887901, \"sugarpercent\": 0.98799998}, {\"winpercent\": 35.290756, \"sugarpercent\": 0.73199999}, {\"winpercent\": 65.716286, \"sugarpercent\": 0.86000001}, {\"winpercent\": 29.703691, \"sugarpercent\": 0.73199999}, {\"winpercent\": 42.849144, \"sugarpercent\": 0.87199998}, {\"winpercent\": 34.722, \"sugarpercent\": 0.22}, {\"winpercent\": 63.08514, \"sugarpercent\": 0.94099998}, {\"winpercent\": 55.103694999999995, \"sugarpercent\": 0.94099998}, {\"winpercent\": 37.887188, \"sugarpercent\": 0.26699999}, {\"winpercent\": 45.995827, \"sugarpercent\": 0.26699999}, {\"winpercent\": 76.67378199999999, \"sugarpercent\": 0.546}, {\"winpercent\": 59.529251, \"sugarpercent\": 0.60399997}, {\"winpercent\": 59.863997999999995, \"sugarpercent\": 0.06899999799999999}, {\"winpercent\": 52.825947, \"sugarpercent\": 0.06899999799999999}, {\"winpercent\": 67.037628, \"sugarpercent\": 0.15099999}, {\"winpercent\": 34.578990999999995, \"sugarpercent\": 0.56900001}, {\"winpercent\": 33.43755, \"sugarpercent\": 0.96499997}, {\"winpercent\": 32.230995, \"sugarpercent\": 0.41800001}, {\"winpercent\": 27.303865000000002, \"sugarpercent\": 0.162}, {\"winpercent\": 54.861111, \"sugarpercent\": 0.60399997}, {\"winpercent\": 48.982651000000004, \"sugarpercent\": 0.60399997}, {\"winpercent\": 43.068897, \"sugarpercent\": 0.31299999}, {\"winpercent\": 45.736748, \"sugarpercent\": 0.17399999}, {\"winpercent\": 49.653503, \"sugarpercent\": 0.465}, {\"winpercent\": 47.173229, \"sugarpercent\": 0.31299999}, {\"winpercent\": 81.642914, \"sugarpercent\": 0.546}, {\"winpercent\": 45.466282, \"sugarpercent\": 0.22}, {\"winpercent\": 39.011897999999995, \"sugarpercent\": 0.093000002}, {\"winpercent\": 44.375519, \"sugarpercent\": 0.31299999}, {\"winpercent\": 41.904308, \"sugarpercent\": 0.18600000000000003}, {\"winpercent\": 49.524113, \"sugarpercent\": 0.87199998}]}};\n",
+       "var selector = \"#aceb80ee-9f3b-45bb-92b5-11953144fb9a\";\n",
+       "var type = \"vega-lite\";\n",
+       "\n",
+       "var output_area = this;\n",
+       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
+       "  vega.render(selector, spec, type, output_area);\n",
+       "}, function (err) {\n",
+       "  if (err.requireType !== 'scripterror') {\n",
+       "    throw(err);\n",
+       "  }\n",
+       "});\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#aceb80ee-9f3b-45bb-92b5-11953144fb9a"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {
+      "jupyter-vega3": "#aceb80ee-9f3b-45bb-92b5-11953144fb9a"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.vgplot.scatter(x='winpercent', y='sugarpercent')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The pandas version does not look as nice"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f73a1d5ff98>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f73a1d53cf8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.plot.scatter(x='winpercent', y='sugarpercent', c='bar')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "pdvega suppports encoding the size and color based on values in columns of the dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"vega-embed\" id=\"0f5d1daf-3459-4c79-88f2-30c3d4141331\"></div>\n",
+       "\n",
+       "<style>\n",
+       ".vega-embed svg, .vega-embed canvas {\n",
+       "  border: 1px dotted gray;\n",
+       "}\n",
+       "\n",
+       ".vega-embed .vega-actions a {\n",
+       "  margin-right: 6px;\n",
+       "}\n",
+       "</style>\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#0f5d1daf-3459-4c79-88f2-30c3d4141331"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "var spec = {\"mark\": \"circle\", \"encoding\": {\"x\": {\"field\": \"winpercent\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"sugarpercent\", \"type\": \"quantitative\"}, \"color\": {\"field\": \"bar\", \"type\": \"ordinal\"}, \"size\": {\"field\": \"pricepercent\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"winpercent\": 66.971725, \"sugarpercent\": 0.73199999, \"bar\": 1, \"pricepercent\": 0.86000001}, {\"winpercent\": 67.602936, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.51099998}, {\"winpercent\": 32.261086, \"sugarpercent\": 0.011000000000000001, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 46.116505, \"sugarpercent\": 0.011000000000000001, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 52.341465, \"sugarpercent\": 0.90600002, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 50.347546, \"sugarpercent\": 0.465, \"bar\": 1, \"pricepercent\": 0.76700002}, {\"winpercent\": 56.914547, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.76700002}, {\"winpercent\": 23.417824, \"sugarpercent\": 0.31299999, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 38.010963000000004, \"sugarpercent\": 0.90600002, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 34.517681, \"sugarpercent\": 0.60399997, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 38.975037, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.51099998}, {\"winpercent\": 36.017628, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 24.524988, \"sugarpercent\": 0.046, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 42.272076, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 39.460556, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.034000002}, {\"winpercent\": 43.088924, \"sugarpercent\": 0.127, \"bar\": 0, \"pricepercent\": 0.034000002}, {\"winpercent\": 39.185505, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 46.783348, \"sugarpercent\": 0.90600002, \"bar\": 0, \"pricepercent\": 0.45300001}, {\"winpercent\": 57.11974, \"sugarpercent\": 0.465, \"bar\": 0, \"pricepercent\": 0.465}, {\"winpercent\": 34.158958, \"sugarpercent\": 0.465, \"bar\": 0, \"pricepercent\": 0.465}, {\"winpercent\": 51.41243, \"sugarpercent\": 0.465, \"bar\": 0, \"pricepercent\": 0.465}, {\"winpercent\": 42.178771999999995, \"sugarpercent\": 0.465, \"bar\": 0, \"pricepercent\": 0.465}, {\"winpercent\": 55.375454000000005, \"sugarpercent\": 0.127, \"bar\": 0, \"pricepercent\": 0.093000002}, {\"winpercent\": 62.28448100000001, \"sugarpercent\": 0.43000001, \"bar\": 1, \"pricepercent\": 0.91799998}, {\"winpercent\": 56.490501, \"sugarpercent\": 0.43000001, \"bar\": 1, \"pricepercent\": 0.91799998}, {\"winpercent\": 59.236121999999995, \"sugarpercent\": 0.43000001, \"bar\": 1, \"pricepercent\": 0.91799998}, {\"winpercent\": 28.127439000000003, \"sugarpercent\": 0.093000002, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 57.21925, \"sugarpercent\": 0.19699999999999998, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 76.7686, \"sugarpercent\": 0.31299999, \"bar\": 1, \"pricepercent\": 0.51099998}, {\"winpercent\": 41.389557, \"sugarpercent\": 0.22, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 39.141056, \"sugarpercent\": 0.046, \"bar\": 0, \"pricepercent\": 0.10400000000000001}, {\"winpercent\": 52.911392000000006, \"sugarpercent\": 0.26699999, \"bar\": 0, \"pricepercent\": 0.27900001}, {\"winpercent\": 71.46505, \"sugarpercent\": 0.82499999, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 66.574585, \"sugarpercent\": 0.82499999, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 46.411716, \"sugarpercent\": 0.87199998, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 55.064071999999996, \"sugarpercent\": 0.30199999, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 73.099556, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.65100002}, {\"winpercent\": 60.800701000000004, \"sugarpercent\": 0.73199999, \"bar\": 1, \"pricepercent\": 0.44100001}, {\"winpercent\": 64.35334, \"sugarpercent\": 0.96499997, \"bar\": 1, \"pricepercent\": 0.86000001}, {\"winpercent\": 47.829754, \"sugarpercent\": 0.31299999, \"bar\": 1, \"pricepercent\": 0.86000001}, {\"winpercent\": 54.526451, \"sugarpercent\": 0.31299999, \"bar\": 1, \"pricepercent\": 0.91799998}, {\"winpercent\": 55.354046, \"sugarpercent\": 0.84799999, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 70.735641, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.76700002}, {\"winpercent\": 66.47068, \"sugarpercent\": 0.31299999, \"bar\": 1, \"pricepercent\": 0.76700002}, {\"winpercent\": 22.445341, \"sugarpercent\": 0.19699999999999998, \"bar\": 0, \"pricepercent\": 0.97600001}, {\"winpercent\": 39.4468, \"sugarpercent\": 0.22, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 46.296597, \"sugarpercent\": 0.465, \"bar\": 1, \"pricepercent\": 0.76700002}, {\"winpercent\": 69.483788, \"sugarpercent\": 0.59299999, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 37.722336, \"sugarpercent\": 0.093000002, \"bar\": 0, \"pricepercent\": 0.023}, {\"winpercent\": 41.265511, \"sugarpercent\": 0.60399997, \"bar\": 0, \"pricepercent\": 0.83700001}, {\"winpercent\": 37.348521999999996, \"sugarpercent\": 0.58099997, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 81.86625699999999, \"sugarpercent\": 0.034000002, \"bar\": 0, \"pricepercent\": 0.27900001}, {\"winpercent\": 84.18029, \"sugarpercent\": 0.72000003, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 73.43499, \"sugarpercent\": 0.40599999, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 72.887901, \"sugarpercent\": 0.98799998, \"bar\": 0, \"pricepercent\": 0.65100002}, {\"winpercent\": 35.290756, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.96499997}, {\"winpercent\": 65.716286, \"sugarpercent\": 0.86000001, \"bar\": 0, \"pricepercent\": 0.86000001}, {\"winpercent\": 29.703691, \"sugarpercent\": 0.73199999, \"bar\": 0, \"pricepercent\": 0.06899999799999999}, {\"winpercent\": 42.849144, \"sugarpercent\": 0.87199998, \"bar\": 0, \"pricepercent\": 0.27900001}, {\"winpercent\": 34.722, \"sugarpercent\": 0.22, \"bar\": 0, \"pricepercent\": 0.081}, {\"winpercent\": 63.08514, \"sugarpercent\": 0.94099998, \"bar\": 0, \"pricepercent\": 0.22}, {\"winpercent\": 55.103694999999995, \"sugarpercent\": 0.94099998, \"bar\": 0, \"pricepercent\": 0.22}, {\"winpercent\": 37.887188, \"sugarpercent\": 0.26699999, \"bar\": 0, \"pricepercent\": 0.97600001}, {\"winpercent\": 45.995827, \"sugarpercent\": 0.26699999, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 76.67378199999999, \"sugarpercent\": 0.546, \"bar\": 1, \"pricepercent\": 0.65100002}, {\"winpercent\": 59.529251, \"sugarpercent\": 0.60399997, \"bar\": 1, \"pricepercent\": 0.65100002}, {\"winpercent\": 59.863997999999995, \"sugarpercent\": 0.06899999799999999, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 52.825947, \"sugarpercent\": 0.06899999799999999, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 67.037628, \"sugarpercent\": 0.15099999, \"bar\": 0, \"pricepercent\": 0.22}, {\"winpercent\": 34.578990999999995, \"sugarpercent\": 0.56900001, \"bar\": 0, \"pricepercent\": 0.057999998}, {\"winpercent\": 33.43755, \"sugarpercent\": 0.96499997, \"bar\": 0, \"pricepercent\": 0.76700002}, {\"winpercent\": 32.230995, \"sugarpercent\": 0.41800001, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 27.303865000000002, \"sugarpercent\": 0.162, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 54.861111, \"sugarpercent\": 0.60399997, \"bar\": 0, \"pricepercent\": 0.755}, {\"winpercent\": 48.982651000000004, \"sugarpercent\": 0.60399997, \"bar\": 0, \"pricepercent\": 0.32499999}, {\"winpercent\": 43.068897, \"sugarpercent\": 0.31299999, \"bar\": 0, \"pricepercent\": 0.51099998}, {\"winpercent\": 45.736748, \"sugarpercent\": 0.17399999, \"bar\": 0, \"pricepercent\": 0.011000000000000001}, {\"winpercent\": 49.653503, \"sugarpercent\": 0.465, \"bar\": 1, \"pricepercent\": 0.32499999}, {\"winpercent\": 47.173229, \"sugarpercent\": 0.31299999, \"bar\": 0, \"pricepercent\": 0.255}, {\"winpercent\": 81.642914, \"sugarpercent\": 0.546, \"bar\": 1, \"pricepercent\": 0.90600002}, {\"winpercent\": 45.466282, \"sugarpercent\": 0.22, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 39.011897999999995, \"sugarpercent\": 0.093000002, \"bar\": 0, \"pricepercent\": 0.11599999999999999}, {\"winpercent\": 44.375519, \"sugarpercent\": 0.31299999, \"bar\": 0, \"pricepercent\": 0.31299999}, {\"winpercent\": 41.904308, \"sugarpercent\": 0.18600000000000003, \"bar\": 0, \"pricepercent\": 0.26699999}, {\"winpercent\": 49.524113, \"sugarpercent\": 0.87199998, \"bar\": 0, \"pricepercent\": 0.84799999}]}};\n",
+       "var selector = \"#0f5d1daf-3459-4c79-88f2-30c3d4141331\";\n",
+       "var type = \"vega-lite\";\n",
+       "\n",
+       "var output_area = this;\n",
+       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
+       "  vega.render(selector, spec, type, output_area);\n",
+       "}, function (err) {\n",
+       "  if (err.requireType !== 'scripterror') {\n",
+       "    throw(err);\n",
+       "  }\n",
+       "});\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#0f5d1daf-3459-4c79-88f2-30c3d4141331"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {
+      "jupyter-vega3": "#0f5d1daf-3459-4c79-88f2-30c3d4141331"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.vgplot.scatter(x='winpercent', y='sugarpercent', s='pricepercent', c='bar')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The scatter matrix is really helpful"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"vega-embed\" id=\"fddf6a76-129c-47a4-bf74-fb1d0d77b246\"></div>\n",
+       "\n",
+       "<style>\n",
+       ".vega-embed svg, .vega-embed canvas {\n",
+       "  border: 1px dotted gray;\n",
+       "}\n",
+       "\n",
+       ".vega-embed .vega-actions a {\n",
+       "  margin-right: 6px;\n",
+       "}\n",
+       "</style>\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#fddf6a76-129c-47a4-bf74-fb1d0d77b246"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "var spec = {\"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"repeat\": {\"row\": [\"sugarpercent\", \"pricepercent\"], \"column\": [\"pricepercent\", \"sugarpercent\"]}, \"spec\": {\"mark\": \"point\", \"selection\": {\"brush\": {\"type\": \"interval\", \"resolve\": \"union\", \"on\": \"[mousedown[event.shiftKey], window:mouseup] > window:mousemove!\", \"translate\": \"[mousedown[event.shiftKey], window:mouseup] > window:mousemove!\", \"zoom\": \"wheel![event.shiftKey]\"}, \"grid\": {\"type\": \"interval\", \"resolve\": \"global\", \"bind\": \"scales\", \"translate\": \"[mousedown[!event.shiftKey], window:mouseup] > window:mousemove!\", \"zoom\": \"wheel![!event.shiftKey]\"}}, \"encoding\": {\"x\": {\"field\": {\"repeat\": \"column\"}, \"type\": \"quantitative\"}, \"y\": {\"field\": {\"repeat\": \"row\"}, \"type\": \"quantitative\"}, \"color\": {\"condition\": {\"selection\": \"brush\", \"field\": \"winpercent\", \"type\": \"quantitative\"}, \"value\": \"grey\"}}}, \"data\": {\"values\": [{\"sugarpercent\": 0.73199999, \"winpercent\": 66.971725, \"pricepercent\": 0.86000001}, {\"sugarpercent\": 0.60399997, \"winpercent\": 67.602936, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.011000000000000001, \"winpercent\": 32.261086, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.011000000000000001, \"winpercent\": 46.116505, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.90600002, \"winpercent\": 52.341465, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.465, \"winpercent\": 50.347546, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.60399997, \"winpercent\": 56.914547, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.31299999, \"winpercent\": 23.417824, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.90600002, \"winpercent\": 38.010963000000004, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.60399997, \"winpercent\": 34.517681, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.60399997, \"winpercent\": 38.975037, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.73199999, \"winpercent\": 36.017628, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.046, \"winpercent\": 24.524988, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.73199999, \"winpercent\": 42.272076, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.73199999, \"winpercent\": 39.460556, \"pricepercent\": 0.034000002}, {\"sugarpercent\": 0.127, \"winpercent\": 43.088924, \"pricepercent\": 0.034000002}, {\"sugarpercent\": 0.73199999, \"winpercent\": 39.185505, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.90600002, \"winpercent\": 46.783348, \"pricepercent\": 0.45300001}, {\"sugarpercent\": 0.465, \"winpercent\": 57.11974, \"pricepercent\": 0.465}, {\"sugarpercent\": 0.465, \"winpercent\": 34.158958, \"pricepercent\": 0.465}, {\"sugarpercent\": 0.465, \"winpercent\": 51.41243, \"pricepercent\": 0.465}, {\"sugarpercent\": 0.465, \"winpercent\": 42.178771999999995, \"pricepercent\": 0.465}, {\"sugarpercent\": 0.127, \"winpercent\": 55.375454000000005, \"pricepercent\": 0.093000002}, {\"sugarpercent\": 0.43000001, \"winpercent\": 62.28448100000001, \"pricepercent\": 0.91799998}, {\"sugarpercent\": 0.43000001, \"winpercent\": 56.490501, \"pricepercent\": 0.91799998}, {\"sugarpercent\": 0.43000001, \"winpercent\": 59.236121999999995, \"pricepercent\": 0.91799998}, {\"sugarpercent\": 0.093000002, \"winpercent\": 28.127439000000003, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.19699999999999998, \"winpercent\": 57.21925, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.31299999, \"winpercent\": 76.7686, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.22, \"winpercent\": 41.389557, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.046, \"winpercent\": 39.141056, \"pricepercent\": 0.10400000000000001}, {\"sugarpercent\": 0.26699999, \"winpercent\": 52.911392000000006, \"pricepercent\": 0.27900001}, {\"sugarpercent\": 0.82499999, \"winpercent\": 71.46505, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.82499999, \"winpercent\": 66.574585, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.87199998, \"winpercent\": 46.411716, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.30199999, \"winpercent\": 55.064071999999996, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.60399997, \"winpercent\": 73.099556, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.73199999, \"winpercent\": 60.800701000000004, \"pricepercent\": 0.44100001}, {\"sugarpercent\": 0.96499997, \"winpercent\": 64.35334, \"pricepercent\": 0.86000001}, {\"sugarpercent\": 0.31299999, \"winpercent\": 47.829754, \"pricepercent\": 0.86000001}, {\"sugarpercent\": 0.31299999, \"winpercent\": 54.526451, \"pricepercent\": 0.91799998}, {\"sugarpercent\": 0.84799999, \"winpercent\": 55.354046, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.60399997, \"winpercent\": 70.735641, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.31299999, \"winpercent\": 66.47068, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.19699999999999998, \"winpercent\": 22.445341, \"pricepercent\": 0.97600001}, {\"sugarpercent\": 0.22, \"winpercent\": 39.4468, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.465, \"winpercent\": 46.296597, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.59299999, \"winpercent\": 69.483788, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.093000002, \"winpercent\": 37.722336, \"pricepercent\": 0.023}, {\"sugarpercent\": 0.60399997, \"winpercent\": 41.265511, \"pricepercent\": 0.83700001}, {\"sugarpercent\": 0.58099997, \"winpercent\": 37.348521999999996, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.034000002, \"winpercent\": 81.86625699999999, \"pricepercent\": 0.27900001}, {\"sugarpercent\": 0.72000003, \"winpercent\": 84.18029, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.40599999, \"winpercent\": 73.43499, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.98799998, \"winpercent\": 72.887901, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.73199999, \"winpercent\": 35.290756, \"pricepercent\": 0.96499997}, {\"sugarpercent\": 0.86000001, \"winpercent\": 65.716286, \"pricepercent\": 0.86000001}, {\"sugarpercent\": 0.73199999, \"winpercent\": 29.703691, \"pricepercent\": 0.06899999799999999}, {\"sugarpercent\": 0.87199998, \"winpercent\": 42.849144, \"pricepercent\": 0.27900001}, {\"sugarpercent\": 0.22, \"winpercent\": 34.722, \"pricepercent\": 0.081}, {\"sugarpercent\": 0.94099998, \"winpercent\": 63.08514, \"pricepercent\": 0.22}, {\"sugarpercent\": 0.94099998, \"winpercent\": 55.103694999999995, \"pricepercent\": 0.22}, {\"sugarpercent\": 0.26699999, \"winpercent\": 37.887188, \"pricepercent\": 0.97600001}, {\"sugarpercent\": 0.26699999, \"winpercent\": 45.995827, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.546, \"winpercent\": 76.67378199999999, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.60399997, \"winpercent\": 59.529251, \"pricepercent\": 0.65100002}, {\"sugarpercent\": 0.06899999799999999, \"winpercent\": 59.863997999999995, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.06899999799999999, \"winpercent\": 52.825947, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.15099999, \"winpercent\": 67.037628, \"pricepercent\": 0.22}, {\"sugarpercent\": 0.56900001, \"winpercent\": 34.578990999999995, \"pricepercent\": 0.057999998}, {\"sugarpercent\": 0.96499997, \"winpercent\": 33.43755, \"pricepercent\": 0.76700002}, {\"sugarpercent\": 0.41800001, \"winpercent\": 32.230995, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.162, \"winpercent\": 27.303865000000002, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.60399997, \"winpercent\": 54.861111, \"pricepercent\": 0.755}, {\"sugarpercent\": 0.60399997, \"winpercent\": 48.982651000000004, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.31299999, \"winpercent\": 43.068897, \"pricepercent\": 0.51099998}, {\"sugarpercent\": 0.17399999, \"winpercent\": 45.736748, \"pricepercent\": 0.011000000000000001}, {\"sugarpercent\": 0.465, \"winpercent\": 49.653503, \"pricepercent\": 0.32499999}, {\"sugarpercent\": 0.31299999, \"winpercent\": 47.173229, \"pricepercent\": 0.255}, {\"sugarpercent\": 0.546, \"winpercent\": 81.642914, \"pricepercent\": 0.90600002}, {\"sugarpercent\": 0.22, \"winpercent\": 45.466282, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.093000002, \"winpercent\": 39.011897999999995, \"pricepercent\": 0.11599999999999999}, {\"sugarpercent\": 0.31299999, \"winpercent\": 44.375519, \"pricepercent\": 0.31299999}, {\"sugarpercent\": 0.18600000000000003, \"winpercent\": 41.904308, \"pricepercent\": 0.26699999}, {\"sugarpercent\": 0.87199998, \"winpercent\": 49.524113, \"pricepercent\": 0.84799999}]}};\n",
+       "var selector = \"#fddf6a76-129c-47a4-bf74-fb1d0d77b246\";\n",
+       "var type = \"vega-lite\";\n",
+       "\n",
+       "var output_area = this;\n",
+       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
+       "  vega.render(selector, spec, type, output_area);\n",
+       "}, function (err) {\n",
+       "  if (err.requireType !== 'scripterror') {\n",
+       "    throw(err);\n",
+       "  }\n",
+       "});\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#fddf6a76-129c-47a4-bf74-fb1d0d77b246"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {
+      "jupyter-vega3": "#fddf6a76-129c-47a4-bf74-fb1d0d77b246"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pdvega.scatter_matrix(df[[\"sugarpercent\", \"winpercent\", \"pricepercent\"]], \"winpercent\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here's a simple bar chart.\n",
+    "Unfortunately I could not figure out how to sort by the winpercent"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>competitorname</th>\n",
+       "      <th>chocolate</th>\n",
+       "      <th>fruity</th>\n",
+       "      <th>caramel</th>\n",
+       "      <th>peanutyalmondy</th>\n",
+       "      <th>nougat</th>\n",
+       "      <th>crispedricewafer</th>\n",
+       "      <th>hard</th>\n",
+       "      <th>bar</th>\n",
+       "      <th>pluribus</th>\n",
+       "      <th>sugarpercent</th>\n",
+       "      <th>pricepercent</th>\n",
+       "      <th>winpercent</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>Reese's Peanut Butter cup</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.720</td>\n",
+       "      <td>0.651</td>\n",
+       "      <td>84.180290</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>Reese's Miniatures</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.034</td>\n",
+       "      <td>0.279</td>\n",
+       "      <td>81.866257</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>79</th>\n",
+       "      <td>Twix</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.546</td>\n",
+       "      <td>0.906</td>\n",
+       "      <td>81.642914</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>Kit Kat</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.313</td>\n",
+       "      <td>0.511</td>\n",
+       "      <td>76.768600</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>64</th>\n",
+       "      <td>Snickers</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.546</td>\n",
+       "      <td>0.651</td>\n",
+       "      <td>76.673782</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>Reese's pieces</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.406</td>\n",
+       "      <td>0.651</td>\n",
+       "      <td>73.434990</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>Milky Way</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.604</td>\n",
+       "      <td>0.651</td>\n",
+       "      <td>73.099556</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>Reese's stuffed with pieces</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.988</td>\n",
+       "      <td>0.651</td>\n",
+       "      <td>72.887901</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>Peanut butter M&amp;M's</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.825</td>\n",
+       "      <td>0.651</td>\n",
+       "      <td>71.465050</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>Nestle Butterfinger</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.604</td>\n",
+       "      <td>0.767</td>\n",
+       "      <td>70.735641</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 competitorname  chocolate  fruity  caramel  peanutyalmondy  \\\n",
+       "52    Reese's Peanut Butter cup          1       0        0               1   \n",
+       "51           Reese's Miniatures          1       0        0               1   \n",
+       "79                         Twix          1       0        1               0   \n",
+       "28                      Kit Kat          1       0        0               0   \n",
+       "64                     Snickers          1       0        1               1   \n",
+       "53               Reese's pieces          1       0        0               1   \n",
+       "36                    Milky Way          1       0        1               0   \n",
+       "54  Reese's stuffed with pieces          1       0        0               1   \n",
+       "32          Peanut butter M&M's          1       0        0               1   \n",
+       "42          Nestle Butterfinger          1       0        0               1   \n",
+       "\n",
+       "    nougat  crispedricewafer  hard  bar  pluribus  sugarpercent  pricepercent  \\\n",
+       "52       0                 0     0    0         0         0.720         0.651   \n",
+       "51       0                 0     0    0         0         0.034         0.279   \n",
+       "79       0                 1     0    1         0         0.546         0.906   \n",
+       "28       0                 1     0    1         0         0.313         0.511   \n",
+       "64       1                 0     0    1         0         0.546         0.651   \n",
+       "53       0                 0     0    0         1         0.406         0.651   \n",
+       "36       1                 0     0    1         0         0.604         0.651   \n",
+       "54       0                 0     0    0         0         0.988         0.651   \n",
+       "32       0                 0     0    0         1         0.825         0.651   \n",
+       "42       0                 0     0    1         0         0.604         0.767   \n",
+       "\n",
+       "    winpercent  \n",
+       "52   84.180290  \n",
+       "51   81.866257  \n",
+       "79   81.642914  \n",
+       "28   76.768600  \n",
+       "64   76.673782  \n",
+       "53   73.434990  \n",
+       "36   73.099556  \n",
+       "54   72.887901  \n",
+       "32   71.465050  \n",
+       "42   70.735641  "
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sort_values(by=['winpercent'], ascending=False).head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f73a0497080>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f73a046b9b0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.sort_values(by=['winpercent'], ascending=False).head(15).plot.barh(x='competitorname', y='winpercent')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div class=\"vega-embed\" id=\"bd21e905-b0e0-4286-abc3-efcca698f775\"></div>\n",
+       "\n",
+       "<style>\n",
+       ".vega-embed svg, .vega-embed canvas {\n",
+       "  border: 1px dotted gray;\n",
+       "}\n",
+       "\n",
+       ".vega-embed .vega-actions a {\n",
+       "  margin-right: 6px;\n",
+       "}\n",
+       "</style>\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#bd21e905-b0e0-4286-abc3-efcca698f775"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "var spec = {\"mark\": \"bar\", \"encoding\": {\"x\": {\"field\": \"value\", \"type\": \"quantitative\", \"stack\": null}, \"y\": {\"field\": \"competitorname\", \"type\": \"nominal\"}, \"color\": {\"field\": \"variable\", \"type\": \"nominal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.json\", \"width\": 450, \"height\": 300, \"selection\": {\"grid\": {\"type\": \"interval\", \"bind\": \"scales\"}}, \"data\": {\"values\": [{\"competitorname\": \"Reese's Peanut Butter cup\", \"variable\": \"winpercent\", \"value\": 84.18029}, {\"competitorname\": \"Reese's Miniatures\", \"variable\": \"winpercent\", \"value\": 81.86625699999999}, {\"competitorname\": \"Twix\", \"variable\": \"winpercent\", \"value\": 81.642914}, {\"competitorname\": \"Kit Kat\", \"variable\": \"winpercent\", \"value\": 76.7686}, {\"competitorname\": \"Snickers\", \"variable\": \"winpercent\", \"value\": 76.67378199999999}, {\"competitorname\": \"Reese's pieces\", \"variable\": \"winpercent\", \"value\": 73.43499}, {\"competitorname\": \"Milky Way\", \"variable\": \"winpercent\", \"value\": 73.099556}, {\"competitorname\": \"Reese's stuffed with pieces\", \"variable\": \"winpercent\", \"value\": 72.887901}, {\"competitorname\": \"Peanut butter M&M's\", \"variable\": \"winpercent\", \"value\": 71.46505}, {\"competitorname\": \"Nestle Butterfinger\", \"variable\": \"winpercent\", \"value\": 70.735641}, {\"competitorname\": \"Peanut M&Ms\", \"variable\": \"winpercent\", \"value\": 69.483788}, {\"competitorname\": \"3 Musketeers\", \"variable\": \"winpercent\", \"value\": 67.602936}, {\"competitorname\": \"Starburst\", \"variable\": \"winpercent\", \"value\": 67.037628}, {\"competitorname\": \"100 Grand\", \"variable\": \"winpercent\", \"value\": 66.971725}, {\"competitorname\": \"M&M's\", \"variable\": \"winpercent\", \"value\": 66.574585}]}};\n",
+       "var selector = \"#bd21e905-b0e0-4286-abc3-efcca698f775\";\n",
+       "var type = \"vega-lite\";\n",
+       "\n",
+       "var output_area = this;\n",
+       "require(['nbextensions/jupyter-vega3/index'], function(vega) {\n",
+       "  vega.render(selector, spec, type, output_area);\n",
+       "}, function (err) {\n",
+       "  if (err.requireType !== 'scripterror') {\n",
+       "    throw(err);\n",
+       "  }\n",
+       "});\n"
+      ]
+     },
+     "metadata": {
+      "jupyter-vega3": "#bd21e905-b0e0-4286-abc3-efcca698f775"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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"
+     },
+     "metadata": {
+      "jupyter-vega3": "#bd21e905-b0e0-4286-abc3-efcca698f775"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.sort_values(by=['winpercent'], ascending=False).head(15).vgplot.barh(x='competitorname', y='winpercent')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/presentations/Minnebar-Blogging-April-2018.pdf b/presentations/Minnebar-Blogging-April-2018.pdf
new file mode 100644
index 0000000..cd21fbd
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