storytelling with data: #39 Better Data Visualizations with Jon Schwabish

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. Pre-order: Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks Other books by Jon: Better Presentations, Elevate the Debate Follow Jon: @jschwabish | www.policyviz.com | Data@Urban Other books mentioned: Storyteller’s Secret, Resonate, Slide:ology, Presentation Zen, How Charts Lie, Avoiding Data Pitfalls  People mentioned: Kim Rees, Ann Emery, RJ Andrews, Moritz Stefaner, Nadieh Bremer, Pedro Cruz Jon's 2014 article “An Economist’s Guide to Visualizing Data” Jon’s projects: The Graphic Continuum, One Chart at a Time video series 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