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that deviate significantly from the majority of the data. Here’s an example code snippet using the z-score method to detect outliers in a numeric variable ‘height’: import numpy as np # Calculate z-scores z_scores = (data['height'] - data['height'].mean()) / data['height'].std() # Identify outliers