Thread by @R_Graph_Gallery

👋Are you interested in #dataviz?

⭐️I created 8 free online projects on the topic!😀

Please let me introduce them:

🧵..

Everything started with the R graph gallery:

A collection of hundreds of graphs made with #rstats, always with explanation and code. (often using ggplot2)

r-graph-gallery.com

Since it worked well, I created the equivalent for all my #pythonprogramming friends!

@matplotlib and Seaborn are very good tool too!

python-graph-gallery.com

I often got asked what chart type to apply on what kind of data, so I created...

data-to-viz.com

➡️ A classification of chart types based on the input format. It's a decision tree with heaps of actionable content!

This project has a section dedicated to dataviz most common caveats.

It's a good practice to know them in order to avoid them

data-to-viz.com/caveats.html

I'm a very big user of R Markdown (websites above are created using it).

So I shared a few tips in a doc called

🎯Pimp My RMD🎯
holtzy.github.io/Pimp-my-rmd/

I you use #rstats, you should use RMD or Quarto!!

Want to add interactivity to your viz? It's time to jump into #javascript and the @d3js_org library.

The d3 graph gallery comes with basic examples & interactive sandboxes

d3-graph-gallery.com

Many people use d3 inside of a #ReactJS application, and it can be a hard task.

I'm currently working on the react-graph-gallery.com !

Since I spend my time browsing awesome viz projects, I decided to showcase all my favorites in:

Dataviz-inspiration.com

A growing collection that you can filter by chart types. Pretty handy when you're starting a new project!

Those projects are time consuming but I hope it helps

Please let me know
➡️ if you find them useful
➡️ if you have ideas to improve them
➡️ any other feedback

Thanks to all the contributors!🙏🙏🙏