ChallengeEnergyPYTHON+20 XP

Reusable Safe Averages: At Least 46

Scenario

You are a data professional working with energy data. Prepare a reliable reusable result from power_readings for a review.

Question

Find the average of values at or above 46. Return 0 if none qualify. Put your calculation in a function named analyse and call it with the provided values.

Data Science · Problem Solving & Regression — question 30 of 30

Finish all 30 to earn a certificate

1. Choose your dataset

Pick an industry and a size. Your code and results change to match.

📓 DataPro notebookextension-real-world-energy-advanced-real-world__Data_Science-10.ipynbFileEditViewRunKernel: Python 3
[md]

Reusable Safe Averages: At Least 46

Find the average of values at or above 46. Return 0 if none qualify. Put your calculation in a function named analyse and call it with the provided values.

In [1]:

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python editor
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Dataset & schema

power_readings

The tiny starter data. Bigger data scrolls.

Fields

reading_idplantmegawatts
E1Solar40
E2Wind55
E3Solar35
E4Hydro70

Energy practice data only.

attempts: 0
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Your next steps

Each item turns green when your answer includes it.

5 left
  • Keeps qualifying values
  • Calculates the requested result
  • Prints the result
  • Defines a reusable function
  • Runs the function