Well done making it to the end of this video course! You built a choropleth map using Python’s Folium library. At the same time, you trained your data visualization skills and added Folium as a new tool to your tool belt.
In this video course, you’ve learned how to:
- Create an interactive map using Folium and save it as an HTML file
- Choose from different web map tiles
- Anchor your map to a specific geolocation
- Bind data to a GeoJSON layer to create a choropleth map
- Style the choropleth map
If you’re working with data that has a geographical component, then try to use Folium to visualize it and gain additional insights. Additionally, you can create a report that your colleagues and the Internet will want to look at and that you can share as a static website.
Did you like using Folium to visualize your data? Did you work with a different dataset? What features of the library would you like to learn more about? Leave a note in the comments below and keep on mapping!
John Rutledge on July 25, 2023
Thank you, Kimberly. Really enjoyed the tutorial!
I have been working on a Django website and using Leaflet.js to create an interactive map, but I was coding a lot of Javascript in my Django template. I will try to refactor my code so I do more Python code with Folium in my view and less Javascript in my template!