Spreadsheet & CSV cleanup
- Combine exports using explicit field and date rules
- Review duplicates, missing values, and conflicting records
- Keep exceptions separate and reconcile every input row
- Define the output format and checks before work starts
Focused help for repetitive data tasks and reproducible script problems.
Explore the examples, then discuss a clearly defined scope.
Keep leading zeros and long CSV IDs safe in Python
A complete, runnable synthetic example, with checks for every identifier and a separate Excel import boundary.
Describe the file type, approximate size, or error message in a public comment on a relevant channel video, where comments are available. Keep it general: never post private files, personal data, customer records, passwords, API keys, or confidential code.
No project is accepted and no delivery date or price is confirmed by a public comment. A suitable private handoff would need to be agreed before sharing any project data.