In order to determine the case totals per country efficiently, we need the aggregation skills we will learn about in Chapter 4, Aggregating Pandas DataFrames, so the ECDC data in the covid19_cases.csv...

In order to determine the case totals per country efficiently, we need the aggregation

skills we will learn about in Chapter 4, Aggregating Pandas DataFrames, so the

ECDC data in the covid19_cases.csv file has been aggregated for us and saved

in the covid19_total_cases.csv file. It contains the total number of cases

per country. Use this data to find the 20 countries with the largest COVID-19 case

totals. Hints: when reading in the CSV file, pass in index_col='cases', and

note that it will be helpful to transpose the data before isolating the countries.