🚨 Outlier Detector
Quickly flag potential outliers in your dataset. Choose between interquartile range (IQR) fences and z-score thresholds to highlight unusually low or high observations.
Dataset Input
Comma, space, newline, or tab separated values
Invalid tokens are ignored. Paste directly from spreadsheets or CSV files.
IQR Method
Z-Score Method
Q1
—
Q3
—
IQR
—
Std. Dev.
—
Flagged Outliers
IQR Method
- No outliers detected.
Z-Score Method
- No outliers detected.
Insights
- No values analysed yet.
Formula Reference
- IQR fences: lower = Q1 − k × IQR, upper = Q3 + k × IQR.
- Z-score outliers: flag points where |(x − mean)/σ| ≥ threshold.
- Recommended defaults: k = 1.5 (mild), k = 3 (extreme), z ≥ 3 for normal-like distributions.