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pca.fit_transform(X) # Calculating total variance total_var = pca.explained_variance_ratio_.sum() * 100 # Plotting 3d image of all 3 components labels = { str(i): f"PC {i+1}" for i, var in enumerate(pca.explained_variance_ratio_ * 100) } fig = px.scatter_3d( components, x=0, y=1, z=2,