COVID-19 Data Analysis using Python. Study/Analysis of COVID-19 data of various countries. Deriving various insights and visualization of the same.
The dataset has been obtained from John Hopkins University and contains two datasets. One containing COVID-19 country-wise data, denoting cumulative number of Confirmed Cases per day in each country. The second dataset consists of various life factors scored by the people living in each country.
Basic Pandas, Numpy covered. Grazed over Matplotlib. Inferences/Graphs/Visualization using Seaborn.
Objective - To find and establish a correlation between spread of the virus in a country and how happy people are, living in that country.