This looks interesting. (Did not read it yet.) 👀

New Webinar: "Don't Get Fooled! Avoid The Illusion of Causality in Charts" On June 16, I will give a webinar on the issue of charts that falsely suggest causal relationships. I'll show you how the problem manifests and what you can do about it. 👉 Sign up link in thread.

My slides are ready! Join me this coming Monday, May 12, at 12 p.m. ET, to learn how to detect "misleading visualizations," beyond truncated axes and 3D pie charts (Find directions on how to enroll in the thread.)

If you think misleading charts are only about truncated or inverted axes, 3D pie charts, and such, you need to attend my *free webinar* this coming Monday. There's so much more to learn! Sign up soon here --> maven.com/p/60a5f9/can-you-t…

CRA figured it out already 25+ years ago. But I don't think they gained much traction.

Not exactly. But who wants to eat fluorescent food?

Second post on the use of titles in data visualization: buff.ly/3VizWmg. Here, I propose a very simple taxonomy to categorize different types of titles. It has already helped me and my students enormously to think more systematically about titles. Feedback welcome.

Chip War

My chat with Tyler Sloan is finally out! Tyler shows us how to recreate historical data visualizations from the original Iris Dataset paper from botanist Edgar Anderson with ChatGPT. You can find the video in the last post of my newsletter (find a link in my bio).

I tried a little experiment to see if ChatGPT can suggest questions to ask with a data set (using NYC Vehicle Collisions). It works like a charm.