CSV data screening tool

Clean response data before analysis.

Upload a CSV file and automatically flag suspicious rows: Mahalanobis outliers, very low standard deviation, long constant sequences, and increasing or decreasing response patterns.

Mahalanobis distance Low SD Constant answers Trend patterns

Upload CSV

Use numeric columns such as Likert-scale responses or test item scores.

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Select or drop your CSV file

Maximum size: 10 MB. The cleaned output will be saved as a new CSV with a Warning column.

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Note: Like the Colab version, non-numeric values are treated as missing values. Decimal values used in pattern checks are converted to integers.

Cleaning Report

Review the summary and download your cleaned file.

Ready. Upload a CSV file and click Clean Data.
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Your cleaning report will appear here.

The app will generate a downloadable CSV file with a new Warning column.