Upload your dataset, set rules per column, and instantly see every value that breaks your standards. Includes an advanced Statistical Anomaly Detector for finding fat-finger errors.
1 Upload
2 Set Rules
3 Results
Drop your CSV or Excel file here, or click to browse
Supports .csv and .xlsx / .xls · Your data never leaves your browser
Reading file…
Works with any tabular dataset. First row must be column headers.
Quick apply:
Configure validity rules
Column types auto-detected below. Use quick apply above or set rules individually. Columns left on "No rule" are skipped. The Statistical Anomaly Engine runs automatically on all numeric columns.
Global Anomaly Sensitivity
1.5 = Standard outliers | 3.0 = Extreme outliers. You can fine-tune this per variable in the list below.
Select at least one rule to continue.
Overall Validity Score
—%
of all checked values meet your rules
Columns checked
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—
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Valid values
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Invalid values
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Rows with issues
—
Columns checked
Export:
Original dataset with VALID/INVALID column appended per rule
Results by columnClick a row to jump to details
#
Column
Rule
Invalid
Sample bad values
Pass rate
Status
Statistical Anomaly Detection (IQR Algorithm)
While your Defined Rules catch values outside known ranges (e.g. Age > 120), this statistical engine scans all numeric columns to find extreme outliers you didn't know to look for. It uses the Interquartile Range (IQR) method to identify "fat-finger" data entry errors that heavily skew averages. You can adjust the sensitivity (IQR Multiplier) in Step 2.
Export:
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This may take a moment for large datasets
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