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?
β βChart 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.
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At the end, you can even toggle each feature on and off to see its impact.
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In my opinion, analysing the steps that improve a chart is the best way to improve, so I hope this can help!
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. β Thank you to the readers, the students, and everyone who sent messages, questions, and encouragement. π
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?
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