Function Deaths in Country Python Code

Description

All functions should read in the data from the provided csv file in order to compute the results.
The last comma separated value from of each line (Data.Rate) shows a country’s number of cases per 100,000 people on a rolling 14 day average. The function ave_infection_rate should calculate and return the average number of cases reported over 14 days per 100,000 people. That is, the average number of people worldwide with covid in a two week period.
The function countries_in_study should write a listing of country names and populations to a file. The lines of the file should be numbered, ordered by population, and formated as in the transcript sample output.txt.
The function deaths_in_country should, given a country, return the number of deaths reported there during the study
Function ave_infection_rate:
- The global average for infection data rate is calculated and identified correctly.
Function countries_in_study:
- The rankings are displayed correctly (1 through 210 to the left of each line)
- The countries are listed in order from most populous (China) to least (Holy See)
- Each line is formatted with the rank and country left justified, and the population right justified.
- All countries are displayed once in the list.
- The listing of countries and populations are saved to a file. (Alternatively, you could print the listing to the console window, but that way of doing it would not get these ten points.)
Function deaths_in_country:
- The given country’s deaths from covid are identified correctly
Style and Quality:
- The Python solution is of high quality: properly commented, and does not contain unnecessary code, and good style: easy to understand and done in a clean and straightforward way.
Honors Section: A function continental_death_tolls should report the percentage of each continent which has died of Covid-19 during the study. Continents: Africa, America, Asia, Europe, Oceania

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