Guides detection and handling of outliers in datasets without distorting the analysis — covers detection methods (IQR, z-score, isolation forest, visual), distinguishes error outliers from genuine extreme values, and recommends transparent handling strategies. Use when asked "should I remove this outlier", "how do I handle extreme values", "are there outliers in my data", or "my mean is skewed by a few values".
