Data Quality: Target 6

Scenario

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

Question

Keep values at or above 6. Print a summary with records (the count) and total (their sum).

Your task

Inspect the provided data and column names
Keep values at or above 6. Print a summary with records (the count) and total (their sum).
Run your code and compare the result

Data Quality SummariesPython

Read the simple theory: Python

Intermediate · Record Counting & Average Calculations — question 23 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-data-analytics-environment-intermediate-data-analytics__environment__Intermediate-12.ipynbFileEditViewRunKernel: Python 3

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Data Quality: Target 6

Keep values at or above 6. Print a summary with records (the count) and total (their sum).

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

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

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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

$ 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