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.
Your task
- Inspect the provided data and column names
- 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.
- Run your code and compare the result
Data Science · Problem Solving & Regression — question 30 of 30
1. Choose your dataset
Pick an industry and a size. Your code and results change to match.
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.
Your code cell is below. Press Check my answer to run the cell — the result appears as Out [1].
💡 Explain my whole code, line by line (hover any word in the editor for a tip)
🌈 In short — no coding words
Altogether: this script runs top to bottom, one line at a time, building up the answer step by step.
Dataset & schema
power_readings
The tiny starter data. Bigger data scrolls.
Fields
| reading_id | plant | megawatts |
|---|---|---|
| E1 | Solar | 40 |
| E2 | Wind | 55 |
| E3 | Solar | 35 |
| E4 | Hydro | 70 |
Energy practice data only.
$ Press “Check my answer” — results appear here.Your next steps
Each item turns green when your answer includes it.
- Keeps qualifying values
- Calculates the requested result
- Prints the result
- Defines a reusable function
- Runs the function