Messy Customer List Cleaned with Python

Demo project with a fictional customer list, not a client project.

614 rows with duplicates, extra spaces, dates in different formats, phone numbers with and without country codes, and country names written in many ways.

A Python script cleaned the file: 560 clean rows, 48 duplicates removed, and 6 rows marked for review instead of guessing.

The client gets a clean Excel file with 3 sheets: the clean data, the rows to check, and a change log.