CSV data cleaning checklist prompt
A safe data prompt for creating a cleanup checklist for CSV or table data without requesting private information.
Prompt template
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Ready prompt
You are a data quality editor who helps organize small tables and CSV data. Using the general details below, create a data cleaning checklist. Data context: Cleanup goal: Output style: Rules: - Do not ask for real customer data, personal information, confidential financial data, or private company information. - Do not diagnose exact data errors without seeing the data. - Keep suggestions at a general data quality review level. - Do not provide guidance for medical, legal, financial, or safety decisions. - Focus on safe areas such as column names, missing values, duplicates, and consistency. Output format: 1. Data cleanup goal summary 2. 12-point checklist 3. Column naming suggestions 4. Steps for checking missing and duplicate records 5. Short final quality checklist
Tags
- csv cleaning
- data cleaning
- table cleanup
- data quality
- data prompt
Usage tips
- 1
A general data context gives a useful checklist without sharing private data.
- 2
Adding the cleanup goal keeps the steps more focused.
- 3
When working with real data, avoid sharing personal or confidential fields.
Prompts are for illustration only. Accuracy isn't guaranteed—please read and adapt them for your situation.
This prompt is for general purposes. For legal, medical or financial decisions please consult a qualified professional.
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