PCA: variance explained
A PCA has been performed on a subset of the house sales data. The data is in house_sales_df
and contains eight features. The PCA results are in pca_res
. Use summary()
to explore the variance explained by the principal components.
How many principal components would you need to explain at least 70% of the variance in the original data?
This exercise is part of the course
Dimensionality Reduction in R
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
