Compute a PCA

Now it's your turn: Compute a PCA on the newsData dataset which is already loaded in the workspace and look at the results. The stats package is loaded by default, the package dplyr has already been loaded for you.

This exercise is part of the course

Machine Learning for Marketing Analytics in R

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Exercise instructions

First, standardize all variables in the dataset and save the result again in newsData (it's ok to overwrite the existing newsData object, we won't need it anymore).
Compute a PCA and store the results in an object called pcaNews.
Examine the results by looking at the eigenvalues. Round them to two digits.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Standardize data
___ <- newsData %>% ___() %>% as.data.frame()

# Compute PCA
___ <- newsData %>% ___()

# Eigenvalues
pcaNews$___ %>% ___()

Edit and Run Code