ChallengeEnvironmentPYTHON+20 XP

Data Science case 12: Scaling for Environment

Scenario

You are a data professional. A coastal clean-up charity has an issue: ph values are too big for the model to compare fairly. As a Data Scientist, you are tasked to solve it.

Question

Scale the numbers.

Your task

Read the problem
Write your solution in the editor
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Deliverable: Scaled values
On success it is published as its own portfolio project

ScalingData ScienceProblem solving

Read the simple theory: Root-cause analysis

Data Science · Problem Solving & Regression — question 12 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-12.ipynbFileEditViewRunKernel: Python 3

[md]

Data Science case 12: Scaling for Environment

Scale the numbers.

In [1]:

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

python editorwater_tests

Snippets

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

🌈 In short — no coding words

📂 Opens the "water_tests" 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

water_tests

IndustryDataset size

The tiny starter data. Bigger data scrolls.

Fields

test_id	river	ph
W1	Vaal	7
W2	Orange	6
W3	Vaal	8
W4	Tugela	5

Environment 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

Scaler