Title: Discussion
Course: Advanced Data Science: A Graduate Course > Section: Module 2: Preprocessing messy and dynamic data

Bring a judgment call from your own practice or reading. Present one missing-data or outlier decision where a reasonable analyst could defensibly go two ways, for example: you find a cluster of implausibly round income values, or a variable whose missingness rises exactly as its plausible true value rises. State the two candidate treatments, the mechanism assumption each rests on, and which you would defend and why. Post your initial contribution by Wednesday of Week 3, then reply substantively to at least two peers by the end of Week 4, challenging or extending their mechanism reasoning rather than merely agreeing. The instructor responds within each thread.