# Data Analysis Project
## Project Structure
- `src/` - Source code package
- `scripts/` - Standalone scripts for data processing
- `notebooks/` - Jupyter notebooks for analysis
- `app/` - Main application package
- `tests/` - Test cases
- `data/` - Raw and processed data
- `models/` - Trained models
- `config/` - Configuration files
- `reports/` - Generated figures and reports
## Setup
1. Clone the repository.
2. Create a virtual environment and activate it.
3. Install dependencies using `pip install -r requirements.txt`.
4. Run tests using `pytest tests/`.