Data Science
Data Quality Checker
Review CSV data for missing values, duplicates, invalid formats, and inconsistent columns.
Features
- Detect missing values
- Identify invalid formats
- Review duplicate and empty records
How to use it
- Upload a CSV file.
- Check the quality summary for each column.
- Fix or review the flagged issues.
Example and use cases
Review a marketing list to catch invalid email addresses or incomplete records before sending outreach.
Useful for validating spreadsheets, imports, and survey exports before downstream analysis or reporting.