Explain Principle Component Analysis (PCA) in data analysis.

• PCA is a method used to reduce number of variables in dataset by extracting important one from a large dataset.

• It reduces the dimension of our data with the aim of retaining as much information as possible.

• In other words, this method combines highly correlated variables together to form a …