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Leer Challenge: Yearly Turnover Analysis | Analyzing Employee Data
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Python for HR Specialists

bookChallenge: 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%}")
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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.

Taak

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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: %".

Oplossing

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Can you explain how the turnover rate is calculated in this example?

What is the significance of formatting the turnover rate as a percentage?

Can you show how to handle cases where the headcount might be zero?

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bookChallenge: Yearly Turnover Analysis

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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.

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%}")
copy

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.

Taak

Swipe to start coding

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: %".

Oplossing

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Was alles duidelijk?

Hoe kunnen we het verbeteren?

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Sectie 2. Hoofdstuk 5
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