Forensic Data Detective
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Supported: CSV, XLSX, XLS
Give this analysis a descriptive name for your records
Select the financial data column (amounts, prices, costs)
Filter out small transactions (taxes, fees) that don't follow natural growth
Exclude outlier values if needed
Exclude specific value ranges (comma-separated). Example: payments always between 100-110
These digits deviate most from Benford's Law. High anomaly scores indicate potential data manipulation or systematic errors.
| Digit | Expected % | Actual % | Difference | Anomaly Score (χ²) | Status |
|---|
Benford's Law states that in naturally occurring datasets, the first digit distribution follows a specific pattern. The digit 1 appears ~30.1% of the time, while 9 appears only ~4.6%.
Individual χ² contribution per digit. High scores (>2.0) indicate suspicious patterns requiring detailed investigation.