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Workflow Automation Templates
A library of ready-to-use workflow templates to accelerate your data journey
Data Quality on Housing Data
Validate housing data
Overview
This workflow performs data quality checks on housing data using Great Expectations packages to ensure data completeness, accuracy, and consistency.
Details
The workflow applies several validation rules, including row count checks, range validation for bedrooms and bathrooms, uniqueness checks for id and price, and null checks for price and lotsize fields. It outputs the original DataFrame along with a summary table showing each rule and whether it passed (True) or failed (False). The results are displayed in a structured tabular format for easy review and verification.
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