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