Circuit’s Post

For academics gearing up for the return to school and business or science types, here's a link to my YouTube video on how to manage numbers with leading zeros in Excel. Long a trouble spot in Excel, recent updates have made it easier to avoid data entry and import errors. https://lnkd.in/g9_5a-ms I've released 44 videos so far on topics as far ranging as color management in Excel to implementing Markov Chains in a spreadsheet. Look for more movies from me and, if you find them useful, tell your friends and colleagues!

Here’s a neat link to a series of videos all about PinPoint, for anyone wishing to understand a little more about what we do.

Today marked the third day of Codevixens' 20 Days of Data Challenge at Codevixens Academy, centering on understanding the impact of outliers on mean and median. Key points from today's task: ▫️When a dataset contains outliers, extreme values significantly deviating from the majority, it can affect the mean, making it sensitive to such extreme data. Outliers pull the mean, making it less representative of typical values. ▫️In contrast, the median is resistant to outliers, unaffected by actual values. ▫️Mode is primarily used for non-numerical data. ▫️The choice between mean and median depends on the data nature and outlier presence. For symmetrical, outlier-free datasets, the mean is reliable. For skewed or outlier-influenced data, the median offers a robust central representation. ▫️Close mean and median values indicate a likely symmetrical distribution with minimal outlier influence. In such cases, either measure is a reasonable central tendency estimate, but context and data characteristics are crucial for interpretation. ▫️Today's task focused on Age distribution; checking the mean and median showed close results, indicating a symmetrically distributed dataset without outliers. Either central tendency can be used for data analysis. Link to Google Sheet: https://lnkd.in/dWzTwMRc Day 3 completed! #cdv20DaysofDataChallenge #Codevixens

Here we go with another blog on DataWeave functions, Part -5 of the DataWeave series, exploring Flatten and DistinctBy function with usecase

Psst...we just released column-level lineage, or as I call it, the "where the @#$% did this data come from" feature. Now everyone at the company, not just the data engineers who write the code, can see where their data is coming from and build trust in the end-to-end process. https://lnkd.in/eRbiNyas Ping me for access! #nocode #datamodeling #dataengineering

Today was absolutely insane: - finally met up with Nirmal Budhathoki a long time LinkedIn connection - launched a redesign of DataExpert.io - filmed a 15 min video with Sundas Khalid - filmed a few shorts with Sundas Khalid and Yuzheng Sun - filmed a 5 min video with Yuzheng Sun - did a 45 min panel with Timothy Chan, Sundas Khalid, and Yuzheng Sun moderating - hosted a 2 hour event where 40ish people showed up by Statsig - filmed and shot my own short on SQL interviews - finally upgraded to Clerk.com’s Core 2 library - got the first tests delivered on LLM-driven homework feedback for May boot camp. It’ll be so 🔥 - made 4 sales from the event Let’s go! #dataengineering

Excited to share a unique journey into the world of data exploration and problem-solving with data.world 🔍 In our latest demo, we dive deep into solving a complex problem that showcases the unparalleled power of our data catalog. Ever wondered how data analytics can unravel mysteries? Follow me through an intriguing process of solving a crime using a knowledge graph and the robust capabilities of data.world. 🕵️♂️ This isn't just any crime. We're taking on the challenge of catching one of history's most infamous criminals - Al Capone. By leveraging our knowledge graph, we map out the types of evidence that could have been pivotal in his capture, illustrating the transformative potential of thinking about data management in innovative ways. 💡 The demo is more than a tutorial; it's an illustration of how semantics and a well-structured data catalog can solve real-world problems. It's about making the complex simple and the impossible possible. 👉 Check out the video to see how data.world's data catalog can be the key to unlocking solutions to your most complicated data challenges. Whether you're a data scientist, analyst, or enthusiast, there's something in this demo for everyone. #dataworld #datascience #knowledgegraph #problemsolving #innovation #dataanalytics

Unlock the Power of Dark Web Intelligence with DarkOwl Vision. Dive into advanced #OSINT techniques, mastering the art of gathering, analyzing and leveraging #publicdata, including insights from the #darkweb on July 10: https://ow.ly/wrNb30sE19K

Unlock the Power of Dark Web Intelligence with DarkOwl Vision. Dive into advanced #OSINT techniques, mastering the art of gathering, analyzing and leveraging #publicdata, including insights from the #darkweb on July 10: https://ow.ly/hh0j30sE2Mk

Part two: DECISION BOUNDARY Reminder: In part one, we see how to implement sigmoid function. In this part we will see how to represent our datasets, sigmoid function and predictions in the plot, for better understanding on how datasets, sigmoid fucntion and prediction behave. For more, you can check my GitHub: https://lnkd.in/dkWMracG If you have any questions, let me know 😉