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Finally, you can visualize the covariance matrix and the data with eigenvectors using the following Python code: Python Code for Visualization: import matplotlib.pyplot as plt import seaborn as sns from mpl_toolkits.mplot3d import Axes3D # Covariance Matrix Heatmap plt.figure(figsize=(8, 6))