Last time, we created FiveThirtyEight-style visuals and choropleth maps after cleaning and wrangling data from an official UN data set on U.S. immigration. Today, we’ll look into the question: How do San Francisco crime incidents and counts vary by neighborhood and geolocation? In order to better understand, visualize, and communicate our findings, let’s create interactive choropleth, marker, and cluster maps with pop-up labels using folium. We’ll work with San Francisco crime data of >150,000 incidents in 2016. Our code and maps are below.
Stay tuned for more cool visuals and maps. As always, if there’s something you’d like to explore, model, or visualize, reach out to info@crawstat.com!
Till next time,
Rish
