This is a currently ongoing project as a first attempt on a data visualization project. The question I had was - How many different small towns/cities around the US have better than average internet?

As remote work grows more common, I hypothesize that smaller towns/cities around the US will become more attractive to remote workers. Costs of living generally are lower in smaller towns, and some people just prefer a simpler life.

Using data pulled from the FCC and Census.gov, I extracted broadband data information and population data publically available and am attempting to a visualization of my findings

• Python: Data scraping (through Selenium) and database integration
• MySQL: RDBMS for storing data and ultimatly serving to Tableau
• Tableau: Data visualization
• Docker: Nominatim/OpenStreeMap data access
  • Ran the Nominatim Docker image to create a Nominatim DB on my local computer utilzing the service to convert lat/lon pairs to usable data
  • Ultimately I did not end up using this data in the project as I found a more efficient way later on

This is an ongoing project so the project directories have not been set up in a logical order yet. The notebooks contain some notes and most of the work completed so far, but attempts will be made to clean this up later.

Tableau Project (Not Complete)