Outlier Detector
Identify outliers and anomalies in your numeric data
Drag and drop your CSV file here
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Detection Methods
IQR Method:
- Uses quartiles (Q1, Q3)
- Outliers: < Q1 - 1.5×IQR or > Q3 + 1.5×IQR
- Robust to extreme values
- Good for skewed distributions
Z-Score Method:
- Uses mean and standard deviation
- Outliers: |z-score| > threshold
- Assumes normal distribution
- Sensitive to extreme values
Modified Z-Score:
- Uses median and MAD
- More robust than standard z-score
- Less sensitive to outliers
- Good for non-normal data