Excel & CSV cleanup — fictional sample

Demonstration using fictional data, not a paid client engagement.

This example standardizes fields, preserves text IDs and leading zeros, checks duplicates by an agreed key, and flags invalid values rather than guessing them. Seven input rows are accounted for: four accepted rows, one duplicate and two invalid rows. The sample includes a cleaned table and a validation summary.

My contribution: defining cleanup rules, checking the sample records and preparing the delivery presentation. Client scope and acceptance criteria are agreed individually. The original input is retained. The professional editable model is not published; a purchased delivery is customized to the agreed requirements.