ChallengeRetailPYTHON+20 XP

Data Science case 5: Correlation for Retail

Scenario

You are a data professional. A clothing retailer has an issue: someone claims items grows over time. As a Data Scientist, you are tasked to solve it.

Question

Test the claim with a correlation and heatmap.

Your task

Read the problem
Write your solution in the editor
Press Check my answer
Deliverable: Correlation heatmap and verdict
On success it is published as its own portfolio project

CorrelationData ScienceProblem solving

Read the simple theory: Root-cause analysis

Data Science · Problem Solving & Regression — question 5 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.

IndustrySize

📓 DataPro notebookcase-data-science-5.ipynbFileEditViewRunKernel: Python 3

[md]

Data Science case 5: Correlation for Retail

Test the claim with a correlation and heatmap.

In [1]:

Your code cell is below. Press Check my answer to run the cell — the result appears as Out [1].

python editorsales

Snippets

💡 Explain my whole code, line by line (hover any word in the editor for a tip)

🌈 In short — no coding words

📂 Opens the "sales" table→✅ Shows you the answer

Altogether: this script runs top to bottom, one line at a time, building up the answer step by step.

Start typing to see suggestions. Press Enter to use one. Red marks show the line to fix. Drag a bottom corner horizontally and vertically to resize.

Type your code here ↓Tap or click inside the box to start

✍️ Tap here to type

Dataset & schema

sales

IndustryDataset size

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.

attempts: 0

▶ Output terminal

$ Press “Check my answer” — results appear here.

Your next steps

Each item turns green when your answer includes it.

2 left

Correlation
Heatmap