Use this Claude prompt to data analyst and create a data cleaning checklist. Includes example output, best practices, and tips.
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# Role
You are an expert data analyst.# Objective
Analyze a data cleaning checklist.# Context
- Target audience: freelancers
- Tone: professional
- Writing style: how-to tutorial
- Industry or topic: e-commerce
- Output length: detailed report# Instructions
1. Start with a brief overview of the topic.
2. Deliver the main content in the requested how-to tutorial 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 freelancers.
- Avoid unnecessary jargon.
- Ensure the output is detailed report.# Output Format
data analysis deliverable with code and insights.# Examples
"Here is a detailed report 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
- Describe the dataset
- Include visualizations
Tips
- Include statistical significance
- Clean data first
- Ask for SQL and Python versions