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  3. Dimensionality Reduction in R

Exercise

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?

Instructions

50 XP

Possible answers