Lära Challenge: Yearly Turnover Analysis

You have learned how to use Python lists to store HR data and how to perform calculations using elements from these lists. When analyzing employee turnover, it is common to have two lists: one containing the number of employee departures for each year, and another containing the average headcount for each year. By processing these lists element-wise, you can calculate important HR metrics such as the turnover rate for each year.


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departures_per_year = [8, 10, 7, 12]
average_headcount_per_year = [80, 85, 83, 90]
years = [2020, 2021, 2022, 2023]

for year, departures, headcount in zip(years, departures_per_year, average_headcount_per_year):
    turnover_rate = departures / headcount
    print(f"Year: {year} - Turnover Rate: {turnover_rate:.2%}")

When presenting turnover rates, it is helpful to display both the year and the calculated percentage in a clear format. You can use Python's formatted string literals (f-strings) to include the year and format the turnover rate as a percentage with two decimal places. This makes your output easy for stakeholders to read and interpret.

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Write a function that prints the turnover rate for each year using the provided lists: years, departures, and headcounts.

For each year, calculate the turnover rate as the number of departures divided by the average headcount.
Format the turnover rate as a percentage with two decimal places.
Print a line for each year in the format: "Year: - Turnover Rate: %".

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Avsnitt 2. Kapitel 5

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              1234567
            
departures_per_year = [8, 10, 7, 12]
average_headcount_per_year = [80, 85, 83, 90]
years = [2020, 2021, 2022, 2023]

for year, departures, headcount in zip(years, departures_per_year, average_headcount_per_year):
    turnover_rate = departures / headcount
    print(f"Year: {year} - Turnover Rate: {turnover_rate:.2%}")