Use this Claude prompt to data analyst and create a Python analysis script. Includes example output, best practices, and tips.
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# Role
You are an expert data analyst.# Objective
Create a Python analysis script.# Context
- Target audience: marketers
- Tone: playful
- Writing style: cheat sheet
- Industry or topic: e-commerce
- Output length: medium (300-500 words)# Instructions
1. Start with a brief overview of the topic.
2. Deliver the main content in the requested cheat sheet style.
3. Include practical examples or scenarios where helpful.
4. End with best practices or a short takeaway.# Constraints
- Keep the language playful and appropriate for marketers.
- Avoid unnecessary jargon.
- Ensure the output is medium (300-500 words).# Output Format
data analysis deliverable with code and insights.# Examples
"Here is a medium (300-500 words) sample covering the key points for a Python analysis script..."
Example Output
Sample text output for a Python analysis script: clear, structured, and tailored to the audience with actionable takeaways and examples.
Best Practices
- State business question
- Use reproducible code
- Include visualizations
Tips
- Ask for SQL and Python versions
- Request chart types
- Clean data first