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import pandas as pd | |
datadict = {'region': {0: 'Region A', 1: 'Region B', 2: 'Region C', 3: 'Region D', 4: 'Region E', 5: 'Region F'}, 'cases': {0: 139, 1: 20, 2: 432, 3: 511, 4: 21, 5: 11}, 'population': {0: 123000, 1: 56329, 2: 70459, 3: 234299, 4: 1478, 5: 2566}} | |
dataset = pd.DataFrame(datadict) | |
print(dataset) | |
#Add a column with values of cases per 10 000 citizens | |
#Add a row with aggregated values from all regions | |
#calculate and display average values for each column (cases, population, cases per 10 000 population) | |
#print the table |
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