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results. This will provide a simplified but insightful view of the transformed dataset.​ # Creating a 2D plot for the first two PCA components plt.figure(figsize=(10, 8)) plt.scatter(pca_result[:, 0], pca_result[:, 1]) plt.xlabel('Principal Component 1') plt.ylabel('Principal Component 2')