Challenge: Identify Largest Yearly Increase in Service Usage
Tracking trends in service usage is essential for effective resource planning in government. Understanding when and how usage spikes can help you allocate funding, staff, and infrastructure more efficiently, ensuring that public services meet citizen demand without waste or shortfall. By analyzing year-over-year changes, you can identify periods of rapid growth or decline, which may signal the need for policy adjustments or further investigation.
1234567service_usage_data = [ {"year": 2018, "usage_count": 1200}, {"year": 2019, "usage_count": 1350}, {"year": 2020, "usage_count": 1700}, {"year": 2021, "usage_count": 2000}, {"year": 2022, "usage_count": 1850}, ]
To find the largest yearly increase in service usage, you first calculate the difference in usage_count between each consecutive year. By comparing each year's count with the previous year's, you can determine the size of the increase or decrease. Once you have all the year-over-year differences, identify the pair with the greatest positive change. The year in which this largest increase occurs is the later year in the pair, and the value of the increase is the difference between the two years' usage counts.
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Given a list of dictionaries with yearly service usage data, identify the year with the largest increase in usage compared to the previous year. The function should return a tuple containing the year and the amount of the largest increase.
- Compare each year's
usage_countto the previous year's value. - Find the maximum positive difference between consecutive years.
- Return the year in which the largest increase occurred and the value of the increase as a tuple.
Lösung
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Can you show me how to calculate the year-over-year differences using this data?
Which year had the largest increase in service usage based on this data?
Can you explain how to interpret a decrease in usage from one year to the next?
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Completion Rate verbessert auf 4.76Challenge: Identify Largest Yearly Increase in Service Usage
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Tracking trends in service usage is essential for effective resource planning in government. Understanding when and how usage spikes can help you allocate funding, staff, and infrastructure more efficiently, ensuring that public services meet citizen demand without waste or shortfall. By analyzing year-over-year changes, you can identify periods of rapid growth or decline, which may signal the need for policy adjustments or further investigation.
1234567service_usage_data = [ {"year": 2018, "usage_count": 1200}, {"year": 2019, "usage_count": 1350}, {"year": 2020, "usage_count": 1700}, {"year": 2021, "usage_count": 2000}, {"year": 2022, "usage_count": 1850}, ]
To find the largest yearly increase in service usage, you first calculate the difference in usage_count between each consecutive year. By comparing each year's count with the previous year's, you can determine the size of the increase or decrease. Once you have all the year-over-year differences, identify the pair with the greatest positive change. The year in which this largest increase occurs is the later year in the pair, and the value of the increase is the difference between the two years' usage counts.
Swipe to start coding
Given a list of dictionaries with yearly service usage data, identify the year with the largest increase in usage compared to the previous year. The function should return a tuple containing the year and the amount of the largest increase.
- Compare each year's
usage_countto the previous year's value. - Find the maximum positive difference between consecutive years.
- Return the year in which the largest increase occurred and the value of the increase as a tuple.
Lösung
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