Automated quality review
Can this dataset be trusted for analysis?
Upload a messy CSV, profile the data, apply cleaning rules, validate business logic, score trustworthiness, and export an executive-ready report.
Profile
Detect missing values, duplicates, invalid values, outliers, mixed types, and formatting issues.
Validate
Check the dataset against business rules and separate rejected records.
Report
Summarize quality score movement, validation pass rate, and final recommendation.
Synthetic sample dataset
Load the included messy customer CSV with duplicates, missing values, invalid values, and outliers.