I used the Covid19 dataset published by John Hopkins University, which consist of the data related to cumulative number of confirmed cases, per day, in each Country. Also, I used the dataset consisting of various life factors, scored by the people living in each country around the globe in the 'happiness.csv' file.
I wrangled the data, manipulated it according to my requirements and finally merged both the datasets to bring the correlation.
I used data visualization tools to bring out the relationship between the various variables and finally came to a conclusion that "Developed Countries are more prone to COVID19 than Under-Developed or Developing Countries, but this can be confirmed by making an analysis of the number of deaths in each country against the number affected".
Feel free to ping me for any errors : mayur_ug@cse.nits.ac.in