Where to Live (Folium)

I led a group project in my Data and Visual Analytics course in the Master's in Analyics program at Georgia Tech to help someone to determine which zipcode to move to in any chosen area in the United States based on their personal preferences. For example, if one person might care more about affordability than about safety, my program, written in Python, will take a weighted average of standardized variables for affordability and safety with a higher weight on affordability for each zip code and outputs the solution in a table and on a chloropleth map. The above map is one solution that also considered several other variables such as the ages of family members (for making friends). All the possible factors are stored in a dataframe created by a separate code that requests data from the Census API and from other agencies. See also the Tableau version.