Identify outliers in your dataset using the IQR method. Outliers are data points that fall below Q1 - 1.5×IQR or above Q3 + 1.5×IQR, helping detect anomalies and unusual observations.
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Using the interquartile range (IQR = Q3 - Q1), any value falling more than 1.5 times the IQR below Q1 or above Q3 is flagged as an outlier.
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