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
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