By: Matt Irwin
Business intelligence (BI) tools let users “drill down” through data to get higher levels of detail to answer a hypothesis — why does California have the highest average patient spend per hospital visit? Is it based on county, city, or individual hospital? Data visualization is all about context, and in BI context is often geographic.
Ryan built this map with open data on per-hospital spending, looking at U.S. health care statistic like average per-patient costs. What level of geographic aggregation is appropriate to target high-cost hospitals: state or county? Is per-hospital spending too granular to see any trends?
Using Tile Query API to retrieve the point data, aggregates the data on-the-fly with state and county geometries from Mapbox Enterprise Boundaries, and using Mapbox GL JS to generate the choropleth with data-driven styling and move from state → county → hospital by zoom level.
If you want to add Enterprise Boundaries to your BI application or build progressive drill-down into your next data visualization email sales@mapbox.com for a free trial.
Drilling (all the way) down was originally published in Points of interest on Medium, where people are continuing the conversation by highlighting and responding to this story.