Prompt

Conduct comprehensive exploratory data analysis.

<dataset_info>
- Source: {data origin}
- Size: {rows x columns}
- Time period: {if applicable}
- Domain: {business context}
</dataset_info>

<analysis_goals>
{what insights needed}
</analysis_goals>

<initial_hypotheses>
{what you expect to find}
</initial_hypotheses>

Conduct EDA:
1. Data profiling
   - Shape and structure
   - Data types audit
   - Missing value patterns
   - Duplicates check
   
2. Univariate analysis
   - Distribution plots
   - Summary statistics
   - Outlier detection
   - Normality tests
   
3. Bivariate analysis
   - Correlation matrices
   - Scatter plots
   - Cross-tabulation
   - Statistical tests
   
4. Multivariate exploration
   - Dimensionality reduction
   - Clustering tendencies
   - Feature interactions
   
5. Insights summary
   - Key findings
   - Data quality issues
   - Modeling recommendations

Include visualization code.