Using Panda Create a variable that holds total cases per million for each country on April 19, 2020 What was the mean total cases per million on that date How many countries had more than 1000 total cases per million on that date (Note that not all countries have information for this variable, so think carefully how to treat those countries) iso code continent location date total cases new cases new cases smoothed total deaths new deaths new deaths smoothed total cases per million AFG Asia Afghanistan 2 24 2020 1 1 0 026 AFG Asia Afghanistan 2 25 2020 1 0 0 026 AFG Asia Afghanistan 2 26 2020 1 0 0 026 AFG Asia Afghanistan 2 27 2020 1 0 0 026 AFG Asia Afghanistan 2 28 2020 1 0 0 026 AFG Asia Afghanistan 2 29 2020 1 0 0 143 0 0 026 AFG Asia Afghanistan 3 1 2020 1 0 0 143 0 0 026 AFG Asia Afghanistan 3 2 2020 1 0 0 0 0 026 AFG Asia Afghanistan 3 3 2020 2 1 0 143 0 0 051 AFG Asia Afghanistan 3 4 2020 4 2 0 429 0 0 103

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Question: Using Panda. Create a variable that holds total cases per million for each country on April 19, 2020. What was the mean total cases per

Using Panda. Create a variable that holds total cases per million for each country on April 19, 2020. What was the mean total cases per million on that date? How many countries had more than 1000 total cases per million on that date? (Note that not all countries have information for this variable, so think carefully how to treat those countries).

iso_code	continent	location	date	total_cases	new_cases	new_cases_smoothed	total_deaths	new_deaths	new_deaths_smoothed	total_cases_per_million
AFG	Asia	Afghanistan	2/24/2020	1	1					0.026
AFG	Asia	Afghanistan	2/25/2020	1	0					0.026
AFG	Asia	Afghanistan	2/26/2020	1	0					0.026
AFG	Asia	Afghanistan	2/27/2020	1	0					0.026
AFG	Asia	Afghanistan	2/28/2020	1	0					0.026
AFG	Asia	Afghanistan	2/29/2020	1	0	0.143			0	0.026
AFG	Asia	Afghanistan	3/1/2020	1	0	0.143			0	0.026
AFG	Asia	Afghanistan	3/2/2020	1	0	0			0	0.026
AFG	Asia	Afghanistan	3/3/2020	2	1	0.143			0	0.051
AFG	Asia	Afghanistan	3/4/2020	4	2	0.429			0	0.103

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