Calculating Principal Components
You'll visually inspect a 4 feature sample of the ANSUR dataset before and after PCA using Seaborn's pairplot(). This will allow you to inspect the pairwise correlations between the features.
The data has been pre-loaded for you as ansur_df.
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 a pairplot to inspect ansur_df
sns.____(____)
plt.show()