Beginner 30: Bring in Seaborn

Scenario

You are a data analyst in the Energy team. Seaborn makes pretty charts with less typing. We call it sns.

Question

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

Your task

Write your code in the editor
Press Check my answer
Read what the chart would show on the right

import seabornSeaborn

Read the simple theory: First Seaborn charts

Beginner · Matplotlib & Filtered Visualization — question 3 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 notebookcharts-030.ipynbFileEditViewRunKernel: Python 3

[md]

Beginner 30: Bring in Seaborn

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 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

Imports seaborn as sns