Given a house sales dataset with number of houses sold each day and their attributes (i.e., price, number of rooms, size, etc.) - if on a specific day there's a spike/drop in sales, what are some techniques to automatically identify in which segments/combination of sub-segments were these drops? for example: the drop was because there were a lot less top priced, large houses sold.
Also, is there a technical name for this problem? I'd like to search and read more about it