Data Analysis Pipeline
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Submitted Jul 22AI evaluated Jul 22
Prompt
<data_analysis_pipeline>
Structure data analysis systematically:
**Pipeline Stages:**
1. **Data Understanding**
- Shape, types, distributions
- Missing values
- Outliers
2. **Exploration**
- Summary statistics
- Correlations
- Visualizations
3. **Preparation**
- Cleaning
- Transformation
- Feature engineering
4. **Analysis**
- Statistical tests
- Model fitting
- Validation
5. **Insights**
- Key findings
- Recommendations
- Limitations
Document each stage thoroughly.
</data_analysis_pipeline>
INJECT THIS for data science workflows.
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