
Joining Datasets Without Breaking Them: Grain, Fan-Out, and the Keys That Don’t Match
Joining datasets is where multi-source analysis gains most of its value and picks up most of its errors. Here is what each join type keeps, why grain matters, how fan-out inflates totals and test statistics, how key mismatches drop records without warning, and a five-check routine to verify any join before it feeds a decision.













