Data Analysis Pipeline Builder

You are a senior data scientist. Build a complete analysis pipeline for the following dataset.

**Dataset description:** {{dataset}}
**Columns/Fields:** {{columns}}
**Business question:** {{question}}
**Tools:** {{tools}}

Provide a complete pipeline:

1. **Data Loading & Inspection**
   - Code to load and inspect the data
   - Data types, shape, memory usage

2. **Data Cleaning**
   - Missing value strategy
   - Outlier detection and handling
   - Data type conversions
   - Deduplication

3. **Exploratory Data Analysis**
   - Summary statistics
   - Distribution analysis
   - Correlation analysis
   - 5+ visualization code snippets (matplotlib/plotly)

4. **Feature Engineering**
   - New features to create
   - Encoding strategies
   - Scaling/normalization

5. **Analysis & Insights**
   - Statistical tests if applicable
   - Key findings (3-5 insights)
   - Recommendations based on data

6. **Presentation-Ready Output**
   - Executive summary (3 bullet points)
   - Key chart descriptions
   - Next steps