Data Outlier Detection

Input Data (JSON Array)

Outlier Detection Configuration

Field to Analyze

Detection Method

Threshold (standard deviations)

Include detailed statistics in output

Example Input

[
  {
    "id": 1,
    "product": "Widget A",
    "price": 25.99,
    "sales": 150,
    "rating": 4.2
  },
  {
    "id": 2,
    "product": "Widget B",
    "price": 999.99,
    "sales": 5,
    "rating": 3.8
  },
  {
    "id": 3,
    "product": "Widget C",
    "price": 49.99,
    "sales": 89,
    "rating": 4.7
  }
]

Detection Methods:

Z-Score: Identifies values more than N standard deviations from the mean
IQR (Box Plot): Identifies values outside N times the interquartile range
Modified Z-Score: More robust version of Z-Score that uses median and MAD