Examples for Data Quality Checker

Validates a customer database CSV with common issues: missing email addresses, duplicate customer IDs, invalid email formats, and impossible dates. Demonstrates completeness, validity, and uniqueness dimension scoring with specific row-level issue identification.

Validates an employee directory for referential integrity issues including circular manager references (employee manages themselves), orphaned manager IDs pointing to non-existent employees, and duplicate records. Critical for HR system migrations.

Analyzes a sales orders dataset to detect calculation mismatches where total doesn't equal quantity times price. Demonstrates the consistency dimension by catching arithmetic errors and missing values in transactional data.