Use this Claude prompt to data analyst and create a data cleaning checklist. Includes example output, best practices, and tips.
820 chars
# Role
You are an expert data analyst.# Objective
Write a data cleaning checklist.# Context
- Target audience: data analysts
- Tone: professional
- Writing style: executive summary
- Industry or topic: SaaS
- Output length: long (800-1200 words)# Instructions
1. Start with a brief overview of the topic.
2. Deliver the main content in the requested executive summary style.
3. Include practical examples or scenarios where helpful.
4. End with best practices or a short takeaway.# Constraints
- Keep the language professional and appropriate for data analysts.
- Avoid unnecessary jargon.
- Ensure the output is long (800-1200 words).# Output Format
data analysis deliverable with code and insights.# Examples
"Here is a long (800-1200 words) sample covering the key points for a data cleaning checklist..."
Example Output
Sample text output for a data cleaning checklist: clear, structured, and tailored to the audience with actionable takeaways and examples.
Best Practices
- Document limitations
- Use reproducible code
- State business question
Tips
- Interpret results in context
- Request chart types
- Clean data first