Loading dataset

Loading dataset:

Here we will load the dataset, (Remember to drop the non-numerical column). Since the iris flower dataset contains a species column that is of character type so we need to drop it because PCA works with only numerical data....

Compute Principal Component Analysis using prcomp() function

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Compute variance explained by each Principal Component:

We use R language’s inbuilt prcomp() function, this function takes the dataset as an argument and computes the PCA. Principal Component Analysis (PCA) is a statistical procedure that uses an orthogonal transformation that converts a set of correlated variables to a set of uncorrelated variables. Doing scale=TRUE standardizes the data....