Safe Averages: At Least 25

Scenario

You are a data professional working with healthcare data. Prepare a reliable result from clinic_visits for a review.

Question

Find the average of values at or above 25. Return 0 if none qualify.

Your task

Inspect the provided data and column names
Find the average of values at or above 25. Return 0 if none qualify.
Run your code and compare the result

Safe AveragesPython

Read the simple theory: Python

Intermediate · Record Counting & Average Calculations — question 20 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 notebookextension-data-analytics-healthcare-intermediate-data-analytics__healthcare__Intermediate-10.ipynbFileEditViewRunKernel: Python 3

[md]

Safe Averages: At Least 25

Find the average of values at or above 25. Return 0 if none qualify.

In [1]:

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

python editorclinic_visits

Snippets

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

🌈 In short — no coding words

📂 Opens the "clinic_visits" 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

clinic_visits

IndustryDataset size

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.

attempts: 0

▶ Output terminal

$ Press “Check my answer” — results appear here.

Your next steps

Each item turns green when your answer includes it.

3 left

Keeps qualifying values
Calculates the requested result
Prints the result