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Fiverr Pro
English
$
USD
I will clean and organize your excel or CSV data
About this Gig
Turn an inconsistent Excel or CSV file into organized data with a clear record of changes.
The $15 starter package covers one file, one data sheet, up to 100 rows and 15 columns, delivered in 3 days with one revision to the agreed rules.
Included:
- Remove duplicates using agreed matching rules.
- Standardize spacing, labels and supported formats.
- Preserve record IDs and leading zeros.
- Flag missing, conflicting or ambiguous values.
- Return the cleaned file, preserved source data and a short issue summary.
Please message me with a redacted sample before ordering. Larger files, multiple sheets and automation need a separate quote after review.
AI tools assist execution and communication. Outputs are checked against the agreed rules. Unknown values are flagged rather than guessed. Portfolio examples use synthetic demonstration data, not past client projects.
Scanned documents, website scraping, external fact-checking and financial auditing are outside this package. Please identify confidentiality requirements before sharing data.
FAQ
What should I send before ordering?
Send a redacted sample, row and column counts, your cleanup rules and desired output format. Please confirm that you are authorized to share the data and mention any confidentiality or AI-use restrictions before sending files.
How do you handle duplicates and missing values?
Duplicates are removed only under agreed rules, such as identical rows or a specified record ID. Missing and conflicting values are flagged for your decision. I do not invent replacement values or treat a real zero as missing.
Can you clean larger files or combine multiple sheets?
Please message me first. The starter package covers up to 100 rows and 15 columns in one sheet. Larger files, merging and repeatable automation require sample review and an agreed custom scope, price and delivery time.
What will I receive and what does a revision cover?
You receive the cleaned Excel or CSV file, a preserved copy of your source data and a short summary of changes and unresolved issues. One revision covers adjustments within the agreed rules. New datasets or new requirements need a separate scope.
