Visualization doesn't have the replication issues that some other fields are struggling with right now, but is that because our science is so strong or because nobody actually bothers with replications? And what can we do to get ahead of potential problems before we run into a full-on crisis? In a paper to be presented at BELIV, Steve Haroz and I list potential pitfalls and present possible solutions.[Read more...] about Paper: Skipping the Replication Crisis in Visualization
There is talk about stories having a beginning, middle, and end, but what does that mean for data stories? How do you create the overall structure for those? In a paper to be presented at EuroVis next week, I discuss a simple but very useful structure that I have found "in the wild," and that I believe to be useful and generalizable.
Embellished charts are common in information graphics. But are embellished bar charts actually harder to read than plain ones? In a short paper to be presented at EuroVis next week, Drew Skau and I present a study that looked into this question. [Read more...] about Paper: Readability and Precision in Pictorial Bar Charts
How should you sequence information in a data story so it makes the most sense? Are some sequences better than others? Does time have to move forward or does it not matter? In a paper to be published at EuroVis next week, with Jessica Hullman at UW and my Tableau Research colleague Heidi Lam, we report on a pair of studies that looked into this. [Read more...] about Paper: Finding a Clear Path: Structuring Strategies for Visualization Sequences
How do we read pie charts? Do they differ from the even more reviled donut charts? What about common pie chart designs like exploded pies? In two papers to be presented at EuroVis next week, Drew Skau and I show that the common wisdom about how we read these charts (by angle) is almost certainly wrong, and that things are much more complicated than we thought. [Read more…] about A Pair of Pie Chart Papers
I’m very happy to finally be able to announce our paper on the connected scatterplot technique. It describes the technique, provides some historical perspective, and most of all looks into how easy to understand and engaging the technique actually is. [Read more…] about Paper: The Connected Scatterplot for Presenting Paired Time Series
After posting my response to Gelman and Unwin’s article on visualization and statistical graphics recently, I have now collected links to all the three other responses as well: Stephen Few, Paul Murrell, and Hadley Wickham. [Read more…] about All Responses to Gelman and Unwin in One Convenient Posting