How to create a density map in tableau

This recipe helps you create a density map in tableau

Get access to Data Science projects View all Data Science projects
DATA VISUALIZATION DATA CLEANING PYTHON DATA MUNGING MACHINE LEARNING RECIPES PANDAS CHEATSHEET     ALL TAGS

Recipe Objective - How to create a Density Map in Tableau?

The Density map is used to show concentration in a particular area. Density maps are the most widely used maps analyzing natural disaster data of a particular country. Density Maps use calculated fields requiring latitude and longitude data points.

Steps to create Density Map.

Step 1 > Connect the "world_country_and_usa_states_latitude_and_longitude_values.xlsx" data set.

Step 3 > Create "Round Lati." using ROUND([Latitude]) calculation.

Step 4 > Create "Round Longi." using ROUND([Longitude]) calculation.

Step 5 > Drag the "Round Lati." measure and drop it onto the row shelf.

Step 6 > Drag the "Round Longi." measure and drop it onto the column shelf.

Step 7 > Select Square on Marks card.

Step 8 > Drop "USA State" dimension in color and select Count Distinct of measure.

Step 9 > Hide the headers by right-clicking on headers and unchecking the Show headers option.

Our Density Map is Ready!

What Users are saying..

profile image

Jingwei Li

Graduate Research assistance at Stony Brook University
linkedin profile url

ProjectPro is an awesome platform that helps me learn much hands-on industrial experience with a step-by-step walkthrough of projects. There are two primary paths to learn: Data Science and Big Data.... Read More

Relevant Projects

Machine Learning Projects
Data Science Projects
Python Projects for Data Science
Data Science Projects in R
Machine Learning Projects for Beginners
Deep Learning Projects
Neural Network Projects
Tensorflow Projects
NLP Projects
Kaggle Projects
IoT Projects
Big Data Projects
Hadoop Real-Time Projects Examples
Spark Projects
Data Analytics Projects for Students

You might also like

Data Science Tutorial
Data Scientist Salary
How to Become a Data Scientist
Data Analyst vs Data Scientist
Data Scientist Resume
Data Science Projects for Beginners
Machine Learning Engineer
Machine Learning Projects for Beginners
Datasets
Pandas Dataframe
Machine Learning Algorithms
Regression Analysis
MNIST Dataset
Data Science Interview Questions
Python Data Science Interview Questions
Spark Interview Questions
Hadoop Interview Questions
Data Analyst Interview Questions
Machine Learning Interview Questions
AWS vs Azure
Hadoop Architecture
Spark Architecture

Relevant Projects

Microsoft Fabric end-to-end Data Engineering project Overview
In this Microsoft Fabric project, you'll build a financial reporting agent that simplifies data management, automates analysis, and delivers real-time dashboards for wealth advisors and their clients.
View Project Details
Data Analysis of Working Capital Management using Tableau
In this Data Analysis Project using Tableau, you will focus on optimizing working capital by analyzing receivables and payables data using Tableau and build actionable dashboards.
View Project Details
Azure Deep Learning-Deploy RNN CNN models for TimeSeries
In this Azure MLOps Project, you will learn to perform docker-based deployment of RNN and CNN Models for Time Series Forecasting on Azure Cloud.
View Project Details
Build ARCH and GARCH Models in Time Series using Python
In this Project we will build an ARCH and a GARCH model using Python
View Project Details
Credit Card Default Prediction using Machine learning techniques
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
View Project Details
Build Real Estate Price Prediction Model with NLP and FastAPI
In this Real Estate Price Prediction Project, you will learn to build a real estate price prediction machine learning model and deploy it on Heroku using FastAPI Framework.
View Project Details
Ola Bike Rides Request Demand Forecast
Given big data at taxi service (ride-hailing) i.e. OLA, you will learn multi-step time series forecasting and clustering with Mini-Batch K-means Algorithm on geospatial data to predict future ride requests for a particular region at a given time.
View Project Details
Skip Gram Model Python Implementation for Word Embeddings
Skip-Gram Model word2vec Example -Learn how to implement the skip gram algorithm in NLP for word embeddings on a set of documents.
View Project Details
Build a Similar Images Finder with Python, Keras, and Tensorflow
Build your own image similarity application using Python to search and find images of products that are similar to any given product. You will implement the K-Nearest Neighbor algorithm to find products with maximum similarity.
View Project Details
Build a Langchain Streamlit Chatbot for EDA using LLMs
In this LLM project, you will build a Streamlit Chatbot integrated with Langchain technology for natural language interactions with a SQL database, facilitating real-time visualization and insightful insights, streamlining data exploration and analysis.
View Project Details