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.
This exercise is part of the course
Dimensionality Reduction in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# 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()