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scaler.fit_transform(cereal_df_encoded) # Fit PCA with the optimal number of components (11) determined earlier pca = PCA(n_components=11) pca.fit(scaled_features) # Extract the absolute values of the PCA loadings pca_loadings_analysis = pd.DataFrame( np.abs(pca.components_),