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#dataviz

99 posts83 participants17 posts today

#30DayChartChallenge Day2 Slope – Google search interest in “How to remove Meta AI from Whatsapp”.

As Meta AI’s chatbot is being rolled out across Europe, many users are wondering how they can turn it off. I found myself googling it too. At the moment, there is no way to deactivate it though, leaving quite a few users upset huffingtonpost.co.uk/entry/wha

Made in #Figma using NB Charts plugin.

ggplot2 is the gold standard when it comes to data visualization.

The image in this post showcases examples of ggplot2 visualizations, demonstrating its versatility to create a wide range of plots with nearly limitless customization options.

Check out my online course, "Data Visualization in R Using ggplot2 & Friends," for a deeper dive into creating stunning plots with ggplot2.

More info: statisticsglobe.com/online-cou

Continued thread

(pandas 📋) For #rstats users, the DataFrame name will be familiar, as the object was named after the similar R data.frame object. Unlike Python, data frames are built into the R programming language and its standard library. As a result, many features found in pandas are typically either part of the R core implementation or provided by add-on packages

matplotlib. The most popular Python library for producing plots and other two-dimensional #datavisualization or #dataviz

IPython & Jupyter

It's time for a #Measles dashboard update:

public.tableau.com/app/profile

The landing page now has a histogram AND a national map, capturing statewide totals. This is especially valuable since some states aren't including county data, or are including divisions like regions, which can't be captured on the cases-by-county map.

This project was constructed from local and state data first: I don't pull from CDC's national totals, but I do check my data against them frequently. Wherever local and state data aren't available, I use news articles. Every entry includes a source link in the cases-by-county table.