• Bookmarks

    Bookmarks

  • Concepts

    Concepts

  • Activity

    Activity

  • Courses

    Courses


Outlier Analysis is a statistical technique used to identify data points that deviate significantly from the majority of a dataset, often indicating variability in measurement, experimental errors, or novel discoveries. It plays a crucial role in data cleaning, fraud detection, and anomaly detection, helping analysts to understand the underlying patterns and causes of these deviations.
History Empty State Icon

Log in to see lessons

3