Good resources for advanced EDA?

Most DS learning materials are prediction focused. More often than not, the question is “here’s a bunch of data, what’s driving this output?”. Do you train a model and look at feature importance? Look at a correlation matrix? Parse through feature response plots? There has to be more statistical techniques for this sort of question, those things just sound to simple and don’t take much time.

datascience eda good resources