ChallengeEnvironmentPYTHON+20 XP

Reusable Data Counting: At Least 5

Scenario

You are a data professional working with environment data. Prepare a reliable reusable result from water_tests for a review.

Question

Count the values at or above 5 and print the count. Put your calculation in a function named analyse and call it with the provided values.

Your task

Inspect the provided data and column names
Count the values at or above 5 and print the count. Put your calculation in a function named analyse and call it with the provided values.
Run your code and compare the result

Anomaly detectionData ScienceProblem solving

Read the simple theory: Anomaly detection

Data Science · Problem Solving & Regression — question 22 of 30

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1. Choose your dataset

Pick an industry and a size. Your code and results change to match.

IndustrySize

📓 DataPro notebookextension-real-world-environment-advanced-real-world__Data_Science-2.ipynbFileEditViewRunKernel: Python 3

[md]

Reusable Data Counting: At Least 5

Count the values at or above 5 and print the count. Put your calculation in a function named analyse and call it with the provided values.

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

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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 practice data only.

attempts: 0

▶ Output terminal

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Your next steps

Each item turns green when your answer includes it.

5 left

Keeps qualifying values
Calculates the requested result
Prints the result
Defines a reusable function
Runs the function