ChallengeEnergyPYTHON+20 XP

Data Analytics case 10: Recommendations for Energy

Scenario

You are a data professional. A renewable power producer has an issue: the director wants one clear recommendation from the power_readings data. As a Data Analyst, you are tasked to solve it.

Question

Find the weakest group and print a recommendation.

Your task

Read the problem
Write your solution in the editor
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Deliverable: One-line recommendation
On success it is published as its own portfolio project

RecommendationsData AnalyticsProblem solving

Read the simple theory: Recommendations

Data Analytics · Problem Solving & Root Cause Analysis — question 10 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-analytics-10.ipynbFileEditViewRunKernel: Python 3

[md]

Data Analytics case 10: Recommendations for Energy

Find the weakest group and print a recommendation.

In [1]:

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

python editorpower_readings

Snippets

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

🌈 In short — no coding words

📂 Opens the "power_readings" 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

power_readings

IndustryDataset size

The tiny starter data. Bigger data scrolls.

Fields

reading_id	plant	megawatts
E1	Solar	40
E2	Wind	55
E3	Solar	35
E4	Hydro	70

Energy 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

Finds lowest