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Visualizing the loadings can help in understanding the contribution of each feature: import seaborn as sns # Heatmap of the loadings plt.figure(figsize=(12, 6)) sns.heatmap(pca_loadings_df, cmap="YlGnBu", annot=True) plt.title('PCA Loadings') plt.show() Analyzing and interpreting PCA loadings is