Visualizing the correlation matrix
Reading the correlation matrix of ansur_df in its raw, numeric format doesn't allow us to get a quick overview.
Let's improve this by removing redundant values and visualizing the matrix using seaborn.
Seaborn has been pre-loaded as sns, matplotlib.pyplot as plt, NumPy as np and pandas as pd.
Diese Übung ist Teil des Kurses
Dimensionality Reduction in Python
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Create the correlation matrix
corr = ansur_df.____
# Draw a heatmap of the correlation matrix
sns.____(____, cmap=cmap, center=0, linewidths=1, annot=True, fmt=".2f")
plt.show()