Question: Python Code Required Download the following dataset from John Hopkins University database for Covid19: a. Confirmed: https://github.com/CSSEGISandData/COVID19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series _covid19_confirmed_global.csv b. Recovered: https://github.com/CSSEGISandData/COVID19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series _covid19_recovered_global.csv c. Death: https://github.com/CSSEGISandData/COVID19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series

Python Code Required

Download the following dataset from John Hopkins University database for Covid19:

a. Confirmed:

https://github.com/CSSEGISandData/COVID19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series _covid19_confirmed_global.csv

b. Recovered: https://github.com/CSSEGISandData/COVID19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series _covid19_recovered_global.csv

c. Death: https://github.com/CSSEGISandData/COVID19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series _covid19_deaths_global.csv

1. Find the country-wise total number of death, confirmed, and recovered cases.

2. Calculate the country-wise active cases, mortality, and recovery rates.

3. Show the combined outcome of Q1 & Q2 via heatmap.

4. Present the country-wise number of confirmed cases in each month of the year present in the data.

5. Use some visualization techniques to demonstrate the trend of the outcome of Q4 for a period of Dec 21-Dec 22. You may choose country dimension as per your choice for instance top 10 countries etc.

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