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Fiverr Pro
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$
USD
I will clean messy CSV excel data deduplicate format validate python 24hrs
About this Gig
I'll clean your messy CSV and Excel data until it is absolutely pristine, delivered in 24 hours.
You exported a report. It has 12,000 rows, duplicate entries, phone numbers in 6 different formats, dates written like Q1-ish maybe 2022, and a Comments column full of chaos. That is exactly the kind of mess I fix.
What I do:
- Deduplication: fuzzy matching or exact, you choose the tolerance
- Date normalization: every format to your format
- Phone and address standardization
- Column splitting and merging
- Whitespace and special character cleanup
- Data validation: emails, URLs, zip codes, custom rules
- Format conversion: CSV, Excel, JSON, SQL, Google Sheets
Every delivery includes:
- Cleaned data files in your preferred format
- Cleaning log: what changed in every column
- Python script used: re-run it yourself next time
- Quality check: every row passes validation
Standard turnaround: 24 hours. Large datasets over 500K rows: 3 business days.
My data is a total disaster: bring it on. Send me a sample and I will show you the cleaned version, free.
FAQ
How do you handle fuzzy duplicates like Jon Smith vs John Smyth?
Standard and Premium use fuzzy matching algorithms. You set the tolerance. I will recommend based on your data.
Can you clean data in Chinese or other languages?
Yes. Multilingual cleaning is a specialty. I handle CJK characters, mixed-language datasets, and locale-specific formats.
What if I need more cleaned after delivery?
Send me the new requirements. Follow-ups are usually cheaper since I already understand your data.
How do I send you sensitive data?
I sign NDAs. You can anonymize sensitive columns, or I can clean your data via screen share. I write the script, you run it. No data leaves your computer.
Can you merge 5 different spreadsheets into one clean master?
Yes, Premium package feature. I match columns across files, resolve conflicts, deduplicate across sources, deliver one clean dataset.
