Data Science, Factor Analysis, Data, Machine Learning, Statistics.
components correlation_plot_data = correlation[:-len(components_df.columns)].loc[:, 'comp_00':] # plot correlation matrix fig, ax = plt.subplots(figsize=(20, 7)) sns.heatmap(correlation, cmap='YlGnBu', linewidths=.7, annot=True, fmt='.2f') plt.show() How PCA can help Maggie The correlation matrix