What to clean
CSV cleanup can remove blank rows, trim extra spaces, normalize delimiters, review headers, and prepare copied text for import. It is most useful when source data is small enough to inspect.
Watch for data changes
Spreadsheet apps can convert long IDs, leading zeros, date-like values, and large numbers. Keep a raw backup and review columns that must stay as text.
Common mistakes
Do not treat cleaned CSV as verified data. Cleanup improves structure; it does not prove correctness, completeness, or meaning.
FAQ
Should every row have the same number of columns?
Usually yes for a clean CSV table. Mismatched rows should be reviewed.
Can CSV contain commas inside values?
Yes, when values are quoted correctly.