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!
To continue visualizing data with Python, check out the Data Visualization With Python Learning Path.
You might also like some of these mapmaking libraries:
If you enjoyed working with a Jupyter Notebook, then Using Jupyter Notebooks is the Real Python course for you. In it, you’ll learn how to create and share documents with this powerful web application.
Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.