IntermediateConservationPYTHON+20 XP

Intermediate plus 5: Standardise a column

Scenario

You are a data scientist in the Conservation team, working with animal_counts data. z-score = (value − mean) ÷ spread, so columns are comparable.

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

Scaling

Read the simple theory: Statistics

Intermediate · Data Filtering & Record Counting — question 8 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-043.ipynbFileEditViewRunKernel: Python 3

[md]

Intermediate plus 5: Standardise a column

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 editoranimal_counts

Snippets

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

🌈 In short — no coding words

📂 Opens the "animal_counts" 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

animal_counts

IndustryDataset size

The tiny starter data. Bigger data scrolls.

Fields

count_id	species	seen
A1	Rhino	4
A2	Lion	7
A3	Rhino	3
A4	Zebra	12

Conservation 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

Subtracts mean
Divides by std