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PCA requires numeric input. Feature Scaling: We used StandardScaler to scale our features. Scaling is vital for PCA because it is sensitive to the variances of the initial variables. # Fill missing values with the mean of the column df_filled = df.fillna(df.mean()) # Convert categorical columns to