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.
Deze oefening maakt deel uit van de cursus
Dimensionality Reduction in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# 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()