For analysts and small-business owners dealing with messy CSV data, get help spotting duplicate rows, inconsistent labels, date formats, and missing values. Paste a sample and describe your rules; get corrected rows, a repeatable cleaning plan, or code for applying the same changes to a larger dataset. You leave with cleaner data and a record of what changed.
Data Cleaning
Clean pasted datasets by finding duplicates, fixing inconsistent values, and producing analysis-ready tables.
Use Data Cleaning
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From the creator of GPTs with 8.5M+ chats · 4.2 stars · 37K+ reviews
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What it writes
- Cleaned sample rows
- Data cleaning rules checklist
- Python or spreadsheet cleaning steps
How to use it
Include column names, 10–30 representative rows, and the rules you want applied. Say which record to keep when duplicates appear, and name any values or formats that must stay unchanged.
What you bring
- A pasted CSV sample or column list
- Your rules for missing or duplicate values
- Preferred date and number formats
- Remove sensitive personal data first
A good fit for
- Preparing a customer export with duplicate records before a campaign
- Standardizing mixed date formats before a monthly sales report
- Finding missing values and inconsistent category labels in survey results
Ways to start
A few requests this Agent can handle.
Here are 12 rows from my customer CSV. Find duplicate emails, keep the newest record, and show the cleaned rows: ...
My sales dates mix 3/4/24, 2024-03-04, and March 4, 2024. Recommend one format and convert these sample values: ...
I have survey responses with blank answers and categories like “NY,” “New York,” and “N.Y.” Suggest cleaning rules and apply them to these rows: ...
Good to know
This workspace provides text assistance.
- Cleaning files that cannot be pasted into chat
- Recovering deleted or corrupted source data
- Cannot open files or inspect your full dataset
- Cleaning code needs testing on your original data
Before you subscribe
What am I buying?
One monthly subscription that opens this Agent and every other Agent on Ai-GEN. Cancel from Account & Billing.
What happens after payment?
Checkout creates or uses your Ai-GEN account. When payment and entitlement are confirmed, the purchased Agent opens. Choose a starter task, add your inputs, and send your first request.
Can I cancel?
Yes. Manage cancellation under Account & Billing → Subscriptions. Review the status and cancellation details shown there before confirming.
Can I use the response in my work?
Use it as a draft to review and adapt. Verify calculations, facts, rights, and suitability before relying on it. Do not provide information you do not have permission to share.
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