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How Not to Be Wrong About Visualization

Many of the things we take for granted in visualization are based on nothing other than hearsay and maybe somebody’s aesthetic judgment. Even seemingly obvious things turn out to be wrong when we start to question them.

In this Data Science Central webinar, Robert will walk you through a number of examples that show the limits of what we know about visualization. As a particular example, he will talk about his recent research on pie charts. Yes, pie charts! How do we read pie charts? Look at any number of books, and they will tell you that we look at the central angle of a slice. That is important, because it means that removing the center (like in a donut chart) will lead to less accuracy. But it's not true. And worse, this question hasn't been studied since 1926 — ninety years ago! It’s only one of the most used chart types out there, and yet there are lots of things we don’t know about it.

Attend this DSC webinar and find out what else you’re probably wrong about!

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Robert Kosara

Research Scientist, Visual Analysis - Tableau Software

Robert Kosara is a researcher in Tableau's Visual Analysis group. Before he joined Tableau in 2012, he was a professor of computer science at UNC Charlotte. Robert has created visualization techniques like parallel sets and performed research into the perceptual and cognitive basics of visualization. Recently, his research has focused on how to communicate data using tools from visualization, and how storytelling can be adapted to incorporate data, interaction, and visualization.

Robert received his M.Sc. and Ph.D. degrees in computer science from Vienna University of Technology (Vienna, Austria). His list of publications can be found online on his vanity website. He can be found on Twitter, Facebook, LinkedIn, Google+ and Google Scholar.

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