Worked example: clean and deduplicate CSV with Python
A run on three synthetic rows using the original Zabtna script. This is not customer data or a paid client case study.
The problem
The sample contains whitespace, duplicate email keys with different casing, and a spreadsheet-formula cell. The goal is chosen-key deduplication while preserving the original.
What we ran
We used trim, deduplicate, columns email and casefold-keys. Processing ran locally without uploading the sample or using the network.
Observed result
Three rows read, two written, one duplicate removed and one formula cell escaped. The original file was unchanged. Automatic merging of field values or email correction is not part of this example.
Start with a clear scope
Columns, formats and validation can be customized for your workflow. Do not submit private records in the inquiry form; describe the columns, problem and required output first.