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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