I'm working with a dataset of >100k rows that includes 4 columns:
My goal is to able to run tests to evaluate differences with regard to which coordinates are 1 vs 0 and also how the coordinates for each 'Person' differ from the coordinates as a whole.
Based on the research I've done the best way of moving forward would be by use of a generalized additive model. Does anyone have some insight as to whether this sounds like the right approach and/or the best route to take within Python? I've done a lot of searching but haven't seemed to find much of a comparison to what I'm looking to do. Any feedback would be greatly appreciated.