How do I use the "Validate Data Entry Format" prompt?

Copy the prompt template, fill in the variables (DATA_TYPE, EXPECTED_FORMAT, VALIDATION_RULES, DATA_TO_VALIDATE), and paste it into ChatGPT, Claude, or Gemini.

What AI tools work with this data prompt?

This prompt works with chatgpt, claude, gemini. Simply copy and paste the template into any of these AI assistants.

Tips for getting the best results?

Provide clear examples of the expected format to get more accurate validation Include specific validation rules rather than general descriptions for better results Test the prompt with a small sample first to refine your validation criteria Use the AI's pattern recognition to identify common data entry mistakes Ask for correction suggestions when possible to speed up your data cleaning process

data beginner

Validate Data Entry Format

Use AI to automatically validate and check data entry formats. Perfect for ensuring data quality and consistency across your datasets.

Works with: chatgptclaudegemini

Prompt Template

You are a data validation specialist. I need you to validate the format of data entries and identify any formatting issues. Data Type: [DATA_TYPE] Expected Format: [EXPECTED_FORMAT] Validation Rules: [VALIDATION_RULES] Here is the data to validate: [DATA_TO_VALIDATE] Please analyze each entry and provide: 1. A summary of validation results (how many entries passed/failed) 2. List each invalid entry with: - The original entry - What's wrong with the format - The corrected version (if possible) 3. Any patterns you notice in the formatting errors 4. Recommendations to prevent similar formatting issues Format your response clearly with headers and use bullet points for easy reading. If an entry cannot be corrected due to insufficient information, clearly state what additional information is needed. Be thorough but concise, focusing on actionable feedback that will help improve data quality.

Variables to Customize

[DATA_TYPE]

The type of data being validated

Example: Email addresses

[EXPECTED_FORMAT]

The correct format the data should follow

Example: standard email format (user@domain.com)

[VALIDATION_RULES]

Specific rules or constraints for validation

Example: Must contain @ symbol, valid domain, no spaces, maximum 254 characters

[DATA_TO_VALIDATE]

The actual data entries to be validated

Example: john.doe@email.com, invalid-email, mary@company, test@domain.co.uk, user name@site.com

Example Output

# Data Validation Results ## Summary - **Total entries:** 5 - **Valid entries:** 2 - **Invalid entries:** 3 - **Success rate:** 40% ## Invalid Entries **Entry:** invalid-email - **Issue:** Missing @ symbol and domain - **Correction:** Cannot correct - insufficient information - **Need:** Complete email address with @ symbol and domain **Entry:** mary@company - **Issue:** Missing top-level domain (.com, .org, etc.) - **Correction:** mary@company.com (assuming .com TLD) **Entry:** user name@site.com - **Issue:** Contains space in username portion - **Correction:** username@site.com or user.name@site.com ## Error Patterns - 33% of errors involve missing domains or TLDs - 33% involve spacing issues - 33% are incomplete addresses ## Recommendations 1. Implement real-time validation during data entry 2. Provide format examples (user@domain.com) 3. Add input masks to prevent spacing issues 4. Consider dropdown menus for common domain extensions

Pro Tips for Best Results

Provide clear examples of the expected format to get more accurate validation
Include specific validation rules rather than general descriptions for better results
Test the prompt with a small sample first to refine your validation criteria
Use the AI's pattern recognition to identify common data entry mistakes
Ask for correction suggestions when possible to speed up your data cleaning process