Duplicate rows inflate metrics, cause double-sends in email campaigns, create billing errors, and waste storage. Merged datasets often contain overlapping records. CRM exports frequently have the same contact listed multiple times. Cleaning duplicates is one of the most common data preparation tasks.
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Column-based is more useful in practice. Two records for "[email protected]" might have different phone numbers — but you still only want one row per email.
If you used the Merge CSV tool to combine multiple files, duplicates are almost guaranteed where datasets overlap. Run the deduplication tool on the merged file to clean it up. Choose the key column (like email, ID, or name) that identifies unique records.
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