We used data on the amount of fully vaccinated people in many nations and used different graphing techniques to effectively communicate our data.

We tested PCA or Principle Component Analysis, a machine learning technique on the COVID-19 data of many nations to learn about dimension reduction and how it could be of use in displaying and interpreting data. Through this test, we hoped to gain insight into the applications of PCA and get an idea of how PCA could be used in mulit-step data analysis processes.

This was a miny study conducted as a part of a larger study studying the efficacy of the Cholera vaccine, tested through HDI, natural immunity, attack rate, and death rate.