Gerrymandering has become a much-discussed political topic in recent years. I analyzed data from FiveThirtyEight and the 2010 Census to investigate trends between demographic aspects of districts and the extent to which they are gerrymandered. I initially explored these questions with scatter plots and eventually built a machine learning model to predict how gerrymandered a particular district might be. Additionally, I visualized GeoJSON files of congressional districts from 1960-2010 in an interactive Leaflet map.

Click here to view the Github repository.