Interactive data quality demo
Data Quality Testing Pipeline
Select one of the controlled datasets and run the 19 SQL quality checks. The resulting dashboard was generated by the real Python and DuckDB engine included in the repository.
1. Choose a dataset
Compare a valid data batch with another containing controlled completeness, uniqueness, validity, integrity and consistency issues.
Python 3.13 · DuckDB · SQL · Pytest
Executing quality rules...
19 checks
Quality gate result
Rules executed
19
Rules passed
Rules failed
Violations
This interactive demo uses the two controlled
datasets stored in the repository. The displayed
reports were generated by the project’s real
Python and DuckDB quality engine.