Filtered scatter Visualization: 18
Scenario
You are a data professional working with healthcare data. Prepare a reliable result from clinic_visits for a review.
Question
Keep wait_minutes values at or above 18. Draw a scatter chart of those values and give it the title "clinic_visits threshold 18".
Your task
- Inspect the provided data and column names
- Keep wait_minutes values at or above 18. Draw a scatter chart of those values and give it the title "clinic_visits threshold 18".
- Run your code and compare the result
Beginner · Matplotlib & Filtered Visualization — question 7 of 30
1. Choose your dataset
Pick an industry and a size. Your code and results change to match.
Filtered scatter Visualization: 18
Keep wait_minutes values at or above 18. Draw a scatter chart of those values and give it the title "clinic_visits threshold 18".
Your code cell is below. Press Check my answer to run the cell — the result appears as Out [1].
💡 Explain my whole code, line by line (hover any word in the editor for a tip)
🌈 In short — no coding words
Altogether: this script runs top to bottom, one line at a time, building up the answer step by step.
Dataset & schema
clinic_visits
The tiny starter data. Bigger data scrolls.
Fields
| visit_id | ward | wait_minutes |
|---|---|---|
| V1 | Kids | 20 |
| V2 | Adults | 45 |
| V3 | Kids | 15 |
| V4 | Elderly | 30 |
Healthcare practice data only.
$ Press “Check my answer” — results appear here.Your next steps
Each item turns green when your answer includes it.
- Filters the values
- Draws the requested chart
- Labels the chart
- Shows the chart