Repeatable CSV cleanup and reporting — fictional demonstration

A Python workflow combines two fictional exports, standardizes dates and prices, and separates records needing review while preserving original inputs. Twelve input rows produce nine unique valid orders, three review rows and a monthly paid-revenue report. The checked October 2026 result is eight paid orders and $290.50 revenue. Checks cover leading-zero identifiers, expected totals, unchanged sources and repeatable reruns. This is a demonstration using fictional data, not paid client work.