Cole talks with Jon Schwabish about his latest book, Better Data Visualizations. Tune in to hear about Jon’s goal to make people aware of a wider array of graphs, which less common graphs he wishes people would use more, his favorite Sankey diagram, and how Luxembourg highlighted an important lesson about maps. Jon also addresses viewer questions on fact-checking, communicating qualitative data, and his work on racial equity in data visualization, including things we should all be thinking about when we make graphs.
Jon's 2014 article “An Economist’s Guide to Visualizing Data”
Exploratory vs. explanatory: Form and Function: Let Your Audience’s Needs Drive Your Data Visualization Choices
Sankey diagram from Reddit: How 52 Ninth-Graders Spell Camouflage
Interactive Sankey from The Pudding: The Gyllenhaal Experiment
Medium article: "Word Clouds: We Can’t Make Them Go Away, So Let’s Improve Them" by Marti Hearst
Research resource: Our World In Data
Medium article: "Applying Racial Equity Awareness in Data Visualization" by Jon Schwabish and Alice Feng
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