Part 2: Exploratory Data Analysis

In this part you are expected to do some exploratory data analysis on the dataset. It basically includes providing summary analysis. Plotting various types of plots and tables showing useful information about your data.

Attaching one example of EDA done on COVID 19.

https://onlinelibrary.wiley.com/doi/full/10.1002/jmv.25743.

Make sure to write with proper analyses and explanation of each plot and table with proper label and axis. Pasting just the diagram with no explanation will not gain you any points.

Minimum number of plots and tables required : 5

Part 3: Hypothesis Testing

(Hint: It will be a one-sided hypothesis of '>' greater than).

You can use any parameter to prove this hypothesis. The most common and powerful parameter would be either the avg number/proportion of deaths or avg number/proportion of cases affected

(Hint: It will be a one-sided hypothesis of '>' greater than because your proving COVID-19 is more dangerous than a normal flu).