Jon Schwabish

Ever wonder what chart horizons lie beyond the basic bar, pie, or line graph? Jon Schwabish returns to the show to give us a tour of advanced chart options that can work well for business data storytelling and a few exotic graphs that are simply a fascinating and novel way to view data! Jon is an economist at the Urban Institute in Washington, DC. In addition to his research on programs that support low-income communities, he is a writer, teacher, and creator of policy-relevant data visualizations. He is considered a leading voice for clarity and accessibility and how researchers communicate their analyses. Jon is also the author of Better Presentations, Elevate the Debate, and Data Visualizations in Excel, and today's episode samples charts from his most excellent read, Better Data Visualizations.>> VIEW SHOW NOTES + RESOURCES In This Episode, You’ll Learn… The pros and cons of Excel, Tableau, Datawrapper, Flourish, Power BI, and R for data visualizations.  Why a bee swarm chart is one of Jon’s favorites. The advantages of a waffle chart over a pie chart.  The importance of asking for feedback on a graph or chart you have created. People, Blogs, and Resources Mentioned Bee swarm chart Waffle chart Voronoi diagram Dumbbell dot plot Choropleth map vs. hexagon and tile map Slope graph Better Presentations Elevate the Debate Better Data Visualizations Data Visualization in Excel Tableau Datawrapper Flourish Power BI R My free 30-second online assessment to find out the #1 silent killer of your data presentation success

In this engaging conversation, Michael Brenner from Data4Change, Sarah Slobin of Reuters, and Jon Schwabish from the Urban Institute delve into the evolution of data visualization tools and their impact on storytelling. They discuss the transition from basic to advanced technologies, emphasizing the importance of emotional engagement in data communication. The trio also highlights how accessible design tools empower nonprofits and the challenges in learning coding languages, advocating for resourcefulness in the ever-evolving field of data viz.