Mask Usage and COVID-19

09/2021 — 01/2022 (completed)

This project provided a data-based argument as to whether or not mask usage help prevent the spread of COVID-19. While there are many valid arguments using scientific thought as to why this is the case, this project gives a simpler evidence-based, data-driven reason. It examines data maintained by The New York Times on COVID-19 cases, deaths and mask usages and uses Nonparametric Statistical methods to determine the relationships present in the data.

To read more about the project, view the results, code and final report, visit the GitHub repository here