In August 2020, I wanted to see if the relationship between an area's demographics (minority composition, education, population density, etc). To do so, I first began finding county-level data. Using Python, I found data from the following sources:
I then combined the data together to produce a data set containing 3,000+ counties with the information above for each. I added additional columns like infection rates and mortality rates using tallies.
Then, I sorted counties by their infection rates and began exploring the characteristics of the counties with the highest and lowest infections.
I summarized my findings in that analysis through an article in Towards Data Science on Medium. Click the image to the right to check it out.
After incorporating the compiled data set into a live web application (learn more here), I published an article describing the process behind making the app and its use cases. It includes an in-depth walk through of the app's three pages with real outputs from the app. Check it out by clicking the image to the right.