Statistical Outlier Detector

Find outliers in your data

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About Statistical Outlier Detector

A statistical outlier detector that identifies unusual values in datasets using three methods: IQR (Interquartile Range), Z-score, and modified Z-score. Highlights outliers visually, shows the five-number summary, and provides threshold customization. All processing is client-side. Essential for data analysts, researchers, quality control engineers, and students studying statistics.

Statistical Outlier Detector Features

  • 3 detection methods
  • Visual markers
  • Five-number summary
  • Custom thresholds
  • Batch input

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