This example takes data from the US Census in the form of shape codes and population, massages it into a merged GeoJSON file, and then overlays it on to a Google Map. Specifically, I wanted to look at the population density of Portland, Oregon with granularity down to the block group.
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Using python (with Pandas), the Google Maps Geocoding service, GeoJSON, and the Google Maps javascript API I created a map of all licensed Texas liquor stores as of December 2016. Mapping all 2,547 individual points as markers on Google Maps is possible, but gets quite cluttered. Alternatively, we can express this data in a heatmap layer. Data source is the Texas Alcoholic Beverage Commision (TABC).
