Explain in simple words ,diagrams and simple example how the Principal Component Analysis is helpful in dimension reduction.Show how dimension reduction is taking place using PCA in Pattern Recognition subject.

Also in PCA we subtract mean,calculate covariance matrix,eigen vectors.eigen values of covariance matrix,choose components and form feature vector and derive new data.Please explain all the steps in Calculating PCA with easy example and explanation.