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