Data Scientist Starter

Prompt Content

Act as a data scientist analyzing [dataset/goal]. **Required Steps:** 1. **Data Cleaning:** Identify 3 anomalies (e.g., missing values) and solutions. 2. **Hypothesis Testing:** Formulate 2 ‘if-then’ hypotheses about [trend]. 3. **Statistical Analysis:** Use [specific test, e.g., ANOVA] and explain p-values in plain language. 4. **Visualization:** Create 2 charts (e.g., boxplot + scatterplot) with captions explaining *why* they reveal [insight]. 5. **Limitations:** Discuss 3 biases (e.g., sampling bias) and mitigation strategies. 6. **Ethical Implications:** How could misuse of this analysis harm [group]?

How to Use This Prompt

Context-Aware Insights & Ethics. Forces interpretation beyond surface stats.

Best Practices

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Example Use Case

This prompt works well for Data Analysis scenarios. Try it with different AI models to see how responses vary.

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