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| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| correlations = data.corr(method='pearson') | |
| plt.figure(figsize=(16, 12)) | |
| sns.heatmap(correlations, cmap="coolwarm", annot=True) | |
| plt.show() |
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