Data Quality Architecture: Threshold 18

Scenario

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

Question

Design a source-to-report path for clinic_visits. Keep records where wait_minutes is at least 18, store them in clinic_visits_trusted_1, and include an owner and an access rule.

Your task

Inspect the provided data and column names
Design a source-to-report path for clinic_visits. Keep records where wait_minutes is at least 18, store them in clinic_visits_trusted_1, and include an owner and an access rule.
Run your code and compare the result

Quality-Gated ArchitectureData Architecture

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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-architecture-healthcare-beginner-data-architecture__healthcare__Beginner-3.ipynbFileEditViewRunKernel: Python 3

[md]

Data Quality Architecture: Threshold 18

Design a source-to-report path for clinic_visits. Keep records where wait_minutes is at least 18, store them in clinic_visits_trusted_1, and include an owner and an access rule.

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

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🌈 In short — no coding words

📂 Opens the "clinic_visits" table→✅ Shows you the answer

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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.

5 left

Names the source
Defines the quality rule
Names trusted storage
Defines access
Names governance