Why it matters
- Outlier detection helps catch data entry mistakes before they reach dashboards.
- CleanCSV flags unusual numeric values without automatically deleting valid extremes.
- The report includes example rows and expected numeric ranges.
CSV cleanup landing page
Detect Outliers in CSV Data
Spot unusual numeric values in your CSV before they distort reports, forecasting, or analytics workflows.
Upload a messy spreadsheet
Supports CSV, TSV, XLSX, and XLS. Current plan: Free with files up to 1 MB and 5 analyses per day.
How CleanCSV handles it
- Upload a dataset with numeric columns.
- Review the flagged values and the expected range for each affected column.
- Keep the report as a review layer before making manual changes.
FAQ
Are outliers changed automatically?
No. Outliers are currently flagged for review instead of auto-fixed.
How are outliers detected?
The current version uses an interquartile range based rule on numeric columns.
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