I will be working with a dataset sample which I will use for optimization purposes. However, before I start, I want to briefly analyze data in order to get a better sense and identify possible directions to explore.
My problem is I don't know how the data was sampled, which sampling method was used or whether the same method was used for all parts of the data, and I'd like to get a sense about those. One of my ideas was to form subsamples from the sample and perform hypothesis tests but I don't know if this should be the way to go.
I am aware that this is a vague question, but I was wondering if you could point out references/lectures/papers or comments in order to help me have a good start.