Used: linear regression(OLS), Pandas, numpy, matplotlib. Done on Python 3 on Dec 2021.
I was interested in how does mask-use rate impact the chance of getting COVID with a consideration of population density of each states. Click ipynb file to view: ** Mask use rate vs chance of getting COVID in 2020**
I. Download COVID cummulative confirmed cases for each states raw data from: https://github.com/nytimes/covid-19-data/tree/bde13b021e99c6b4a63fb66a6144e889cc635e31. Donwloaded estimated mask-use rate at county level from a survey done by NY times and Dynata in July 2020.
II. Cleaned and scaled 2 large datasets, combined dataframes, filtered releavant data (May, June, July 2020), and created new variables mask-use score.
III. Ran different exploratory analysis on mask-use score and COVID increase rate. Found for more populated states (>= 75% percentile), more mask-use rate significantly reduced the chance of getting COVID.