I recently started learning D3 in an attempt to add another arrow to my data visualization quiver. D3 is a data visualization library built on top of JavaScript, and is generally considered the most detail-oriented, top of the line, data visualization tool in the business. You control everything in your graphics. I’m currently 100 pages into the wonderful book Interactive Data Visualization for the Web by Scott Murray and I figured this is a great time to take the training wheels off and build my first D3 plot outside of a canned tutorial.

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Technical notes: I conducted this analysis in R with the rstanarm package for Bayesian modeling. The dataset represents law school ABA 509 disclosures, aggregated by AccessLex. What are hierarchical models? We start with a simple question: Which states have the lowest and highest bar passage rates? On the surface, this is simple arithmetic. Just divide the number of bar passers by the number of takers.

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