Exercise

PCA for feature exploration

You'll use the PCA pipeline you've built in the previous exercise to visually explore how some categorical features relate to the variance in poke_df. These categorical features (Type & Legendary) can be found in a separate dataframe poke_cat_df.

All relevant packages and classes have been pre-loaded for you (Pipeline(), StandardScaler(), PCA())

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Fit and transform the pipeline to poke_df to extract the principal components.