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eagereyesTV Episode 3: 3D Pie Charts For Science!

Robert Kosara / October 20, 2019

eagereyesTV Episode 3: 3D Pie Charts For Science!

How do we read pie charts? This seems like a straightforward question to answer, but it turns out that most of what you’ve probably heard is wrong. We don’t actually know whether we use angle, area, or arc length. In a short paper at the VIS conference this week I’m presenting a study I ran to answer this question – a study using 3D pie charts!

This is the third eagereyesTV video. Watch it below or head over to YouTube. And please like and subscribe if you thought it was worthwhile, and let me know what you think!

Things I cover in the video:

  • The 2016 pie chart studies with Drew Skau
  • An explainer of what we found in those studies in an easier-to-digest format
  • Write-up of the VIS 2019 short paper, the study I discuss in the video
  • All papers and materials from that paper
  • All the other pie charts articles here on my blog

Filed Under: Blog 2019 Tagged With: eagereyesTV, pie charts

Robert Kosara is Data Visualization Developer at Observable. Before that, he was Research Scientist at Tableau Software (2012–2022) and Associate Professor of Computer Science (2005–2012). His research focus is the communication of data using visualization. In addition to blogging, Robert also runs and tweets. Read More…

Reader Interactions

Comments

  1. Michael says

    October 21, 2019 at 6:43 am

    Does this mean that normal pie charts (focus on “area”) could be better encoded than donout charts (focus on “arc”)?

    Reply
  2. Steve Horne says

    October 22, 2019 at 11:37 pm

    Thanks for the blog. Pie charts are not going to disappear anytime soon so the data visualization community should come up with some guidelines on how not to misuse them.

    Reply
  3. Annette Greiner says

    October 24, 2019 at 8:11 pm

    Thank you for making the effort to study this oddly captivating question. If I’m interpreting your latest study correctly, you are essentially claiming that if people used angle to determine proportion on a pie chart, they would assign the proportion of the projected angle without compensating for the percept of three-dimensionality, and similarly, if they used arc length, they would assign the proportion of the projected arc length without compensating. That strikes me as unlikely. How have you validated that model?

    Reply

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