Question: download csv data with pandas with below code: import pandas as pd deaths_df = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv') Identify and handle missing values in the dataset. Remove duplicate

download csv data with pandas with below code: import pandas as pd deaths_df = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')

Identify and handle missing values in the dataset.

Remove duplicate entries if any.

Convert the date column to a consistent date format (e.g., YYYYMM-DD)

Save the cleaned dataset to a new CSV file.

3. Display first 5 rows of the loaded data and short summary about the data .

4. Calculate the mean and median of the daily cases.

5. Get daily death cases worldwide (hint: summarizing daily death cases over all countries.)

6. Get daily increasement of deaths cases via defining a function (hint: use the death cases of today minus the death cases of yesterday from the data obtained in task 5.)

7. Visualize the data obtained in task 5 with library matplotlib

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