RFM-Style Mini-EDA

# Submission: RFM-Style Mini-EDA ## Brief Publish a notebook EDA on ecommerce transactions following the EDA playbook: cleaned frame, one-row-per-customer RFM table, 3 charts, 3 falsifiable insights. ## Dataset Ecommerce transactions CSV (train visible; holdout customer slice for the insight-generality check). ## Starter guardrails (88) - Start from the EDA-playbook skeleton: clean -> reshape -> plot -> insights. - Charts must render from a fresh kernel run top-to-bottom (no hidden state). ## Deterministic checks Notebook executes end-to-end; RFM table has one row per customer; 3 chart artifacts present; no hardcoded insight numbers (recompute from data). ## 100-pt rubric - Cleaning correctness (parse/coerce/dedupe/quarantine): 25 - RFM reshape validity: 15 - Chart quality (labels, scale choice, annotation): 25 - Insight falsifiability (direction + magnitude + segment): 25 - Fresh-run reproducibility: 10