I think this is a great introduction to data exploration and PCA.
It goes in-depth on how to explore the data first, then transforming the data by PCA so that our new dataset can be simplified by ready to use for machine learning and other analysis
It includes many technical terms such as eigen decomposition, covariance matrix, etc. It also walks you through a real world example and uses modern technology to unriddle the dataset.
