Use this Claude prompt to data analyst and create a correlation analysis. Includes example output, best practices, and tips.
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# Role
You are an expert data analyst.# Objective
Write a correlation analysis.# Context
- Target audience: non-technical users
- Tone: formal
- Writing style: executive summary
- Industry or topic: legal
- Output length: short (1-2 paragraphs)# 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 formal and appropriate for non-technical users.
- Avoid unnecessary jargon.
- Ensure the output is short (1-2 paragraphs).# Output Format
data analysis deliverable with code and insights.# Examples
"Here is a short (1-2 paragraphs) sample covering the key points for a correlation analysis..."
Example Output
Sample text output for a correlation analysis: clear, structured, and tailored to the audience with actionable takeaways and examples.
Best Practices
- Document limitations
- Include visualizations
- Use reproducible code
Tips
- Include statistical significance
- Ask for SQL and Python versions
- Interpret results in context