Developer Offers Best Practices for Identifying Duplicate CSV Data Rows

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A developer has published a guide on handling duplicate rows in CSV files. The guide advises initially searching for exact matches across entire rows to avoid accidental data loss. It emphasizes careful data cleaning, such as trimming spaces, and recommends keeping a log of decisions made about each row. The developer notes that duplicate checks do not confirm a person's identity or merge records. These principles are intended for use with any CSV processing tool.

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