Reusable Feature Preparation: Adjustment 1
Scenario
You are a data professional working with retail data. Prepare a reliable reusable result from sales for a review.
Question
Keep values at or above 3, add 1 to each, and print the adjusted list. Put your calculation in a function named analyse and call it with the provided values.
Your task
- Inspect the provided data and column names
- Keep values at or above 3, add 1 to each, and print the adjusted list. 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 25 of 30
1. Choose your dataset
Pick an industry and a size. Your code and results change to match.
Reusable Feature Preparation: Adjustment 1
Keep values at or above 3, add 1 to each, and print the adjusted list. 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
sales
The tiny starter data. Bigger data scrolls.
Fields
| sale_id | store | items |
|---|---|---|
| S1 | Mall | 6 |
| S2 | Town | 2 |
| S3 | Mall | 9 |
| S4 | Online | 4 |
Retail 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