Better Understand Your Geospatial Data - PostGIS GeoJSON

The article explores how Superset's geospatial data visualization capabilities can enhance understanding of the 2020 Presidential election results by analyzing popular vote distribution at the county level for Democrats and Republicans. Using publicly available data, the process involves importing election data into a Postgres database, enriching it with GeoJSON data corresponding to county FIPS codes, and visualizing it in Superset with deck.gl. The visualization highlights trends and patterns, showing that while a majority of the land appears red, blue areas represent more densely populated regions, offering an edge to the Democratic party. The methodology includes creating a lookup table for county FIPS and GeoJSON data and customizing visualization features to convey meaningful insights, such as displaying the number of votes as polygon height and color-coding to indicate winning parties. The article concludes by demonstrating the map's ability to provide a more nuanced view of election results, emphasizing the importance of population density in understanding electoral outcomes.

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