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Fiverr Pro
English
$
USD
I will clean validate deduplicate and organize your excel or CSV data
About this Gig
Do you have an Excel or CSV file with duplicates, inconsistent formatting, invalid values, or records that should not be changed silently? I will clean and validate a bounded dataset using agreed rules. I can standardize obvious formatting, handle exact duplicates, check required fields or value rules, and separate ambiguous records for review instead of guessing. Depending on the package, you receive: - a cleaned Excel/CSV file; - explicit validation and duplicate handling; - exception notes or a review report for ambiguous rows; - a concise before/after or QA summary. This service is best for business lists, exports, reporting inputs, catalogue-style data and other structured spreadsheets where the desired rules can be stated clearly. Not included in the fixed packages: production PDF/OCR extraction, web scraping, dashboards, advanced analytics, macros/VBA, ERP integration or unlimited manual research. Please provide the source file and the rules that matter before work starts.
FAQ
What file types do you accept?
Excel (.xlsx/.xls) and CSV are the main fixed-package inputs. If your source is another format, send a sample first so I can confirm whether it fits the scope.
What counts as one item?
For this Gig, one item normally means one row/record in the agreed source table unless we agree on a different unit before the order starts.
Will you remove every duplicate automatically?
Only when the duplicate rule is clear. Exact or agreed matches can be removed or consolidated; ambiguous records are flagged for review rather than silently deleted.
Do you provide data analysis or dashboards?
No. The fixed packages focus on cleaning, validation, deduplication, formatting and exception reporting. Analysis/dashboard work requires a separate scope.
What if my file is larger or has complex rules?
Send the row count, number of files and the rules first. Large, multi-file or research-heavy work may need a custom offer instead of an instant package.
