Step by step viz improvement

Hard to believe, but this is already the last issue of the year.

Since January, I have shared one dataviz or programming tip every Saturday. If you missed a few or want to share them with a friend, you can find all previous issues here.

To wrap up the year, I suggest we do a small chart remake together?

Chart remake

This year, I taught data visualization to 2,182 people through my online courses (R, ggplot2, matplotlib). Each course includes a #share-your-viz channel where students can post work in progress charts and get feedback.

And interestingly, it's often the same improvement ideas that appear again and again.

So I wrote a small interactive article where you start from a very standard Matplotlib-style chart and improve it step by step as you scroll.

At the end, you can even toggle each feature on and off to see its impact.

In my opinion, analysing the steps that improve a chart is the best way to improve, so I hope this can help!

Try the interactive article

Thank you

It has been a pretty intense year for me, with great freelance projects, lots of students in my courses, and enough space to experiment with new educational formats like the article above.

I truly loved it.

Thank you to the readers, the students, and everyone who sent messages, questions, and encouragement.

I will try to do even better next year.

Coming next

To be honest, I am not fully sure what I will work on next year. I will finish the ggplot2 Uncharted project and keep improving the portfolio builder tool, but there are many other topics I would love to explore.

I would really like your input. What are you most interested in? And if there is anything else you're wondering, some stuff you would like me to write about, please drop me an email, I read and answer to everyone!

I wish you a wonderful end of year. Take some time to rest, and let's create great charts again next year.
Yan