IntermediateRetailPYTHON+20 XP

Intermediate plus 3: Turn words into numbers

Scenario

You are a data scientist in the Retail team, working with sales data. Models need numbers, so get_dummies makes a 0/1 column per word.

Question

Write your code in the editor, press Check my answer, then try changing one small thing.

Your task

Write each line of your code
Press Check my answer
Change one value and check again

Feature engineering

Read the simple theory: Feature engineering

Intermediate · Data Filtering & Record Counting — 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 notebookmore-ds-025.ipynbFileEditViewRunKernel: Python 3

[md]

Intermediate plus 3: Turn words into numbers

Write your code in the editor, press Check my answer, then try changing one small thing.

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.

1 left

Uses get_dummies