Apartment List Rentonomics analyzes and publishes data on rental trends in the US (see (https://www.apartmentlist.com/rentonomics for our work), and we are looking for a part-time data scientist to help with some visualizations.
For this specific project, we are trying to create chloropleth maps of different metropolitan areas in the US (e.g., SF, LA, Chicago, etc.), showing which cities in the metro are affordable for people of different occupations (e.g., nurse, cook, teacher, firefighter). The map will need to have drop down selectors to allow viewers to select the occupation and location. See attached for an example map (example does not include dropdown filters).
We will provide the data, and need your help turning it into a map. We are flexible as to whether you do this in R, Python, or what tools you use. This posting is for a one-time project, but if successful, there will be other visualizations and analysis that we need help with.