📊 Five #ggplot2 functions I wish I'd known about earlier 📊

I've written a short blog (with examples) of some of the lesser-known {ggplot2} functions and arguments that make it easier to create better charts!

Link: nrennie.rbind.io/blog/five-ggp…

#RStats #DataViz

#30DayMapChallenge day 1: Points

data.stefanbohacek.dev/project…

#maps #data #dataviz #fediverse #mastodon #government #govtech

Quick! What's 6✖️8?

This heatmap shows the trickiest multiplications for kids aged 5-8.

Love to see a similar study on adults to see how they compare!

#dataviz #math

(1/2) Python for Data Science is a new book by Arthur Turrell that focuses on core data science applications with Python 🚀. The book is inspired by the R for Data Science book by Hadley Wickham and Garrett Grolemund and follows a similar structure. The book covers topics such as:
✅ Data wrangling and transformation
✅ Data visualization
✅ Working with spreadsheets, databases, web scraping and APIs
✅ Programming topics such as functions and iteration

#python #DataScience #dataviz #data

My data visualization project that lets you explore your connections across the fediverse now supports:

- Mastodon
- Friendica
- Pleroma/Akkoma 🆕
- Misskey/Calckey 🆕

Try it here: data.stefanbohacek.com/project…

#dataviz #fediverse #mastodon #friendica #misskey #calckey #explore #data

This week in #TidyTuesday we look at the Portal Project.

Thanks to: @ethanwhite for the data.

The project: portal.weecology.org / @weecology

Code: github.com/mvbloois/tidytuesda…

#dataviz #rstats

Agreed. And here’s a great map from Minard, the pioneer of the infographic "Trace the Waves of Cheap Labor" (the one Tufte didn't pick)
forgottenfiles.substack.com/p/… #infographic #dataviz

@kottke