Why Duplicate CSV Rows and Duplicate Customer IDs Need Separate Fixes

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A technical article published on DEV Community highlights a common data-handling mistake: treating duplicate CSV rows and duplicate customer IDs as the same problem. While an exact duplicate row is an identical record, a repeated customer ID may represent two conflicting records about the same entity, such as differing region values. Silently dropping one record during an import can cause data loss without any human decision being made. The article demonstrates a Python standard-library script that flags both issues separately, without automatically modifying the source file. It also outlines best practices such as treating identifiers as text strings, making normalization steps explicit, and auditing changes before any cleanup is applied.

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