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Data Analytics case 5: Seaborn for Retail
Scenario
You are a data professional. A clothing retailer has an issue: a manager says the items values are "all over the place". As a Insights Analyst, you are tasked to solve it.
Question
Show the spread per group with a box plot.
Your task
- Read the problem
- Write your solution in the editor
- Press Check my answer
- Deliverable: Box plot explaining the spread
- On success it is published as its own portfolio project
Data Analytics · Problem Solving & Root Cause Analysis — question 5 of 30
1. Choose your dataset
Pick an industry and a size. Your code and results change to match.
Data Analytics case 5: Seaborn for Retail
Show the spread per group with a box plot.
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 data only.
$ Press “Check my answer” — results appear here.Your next steps
Each item turns green when your answer includes it.
- Box plot