Metadata-Version: 2.4
Name: bus2002
Version: 0.1.1
Summary: Curated datasets for WLU BUS 202 Business Analytics
Home-page: https://github.com/brightambrose/bus2002
Author: Bright Frimpong
Author-email: bfrimpong@wlu.edu
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Education
Classifier: Topic :: Education
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas>=1.3.0
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: twine; extra == "dev"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: provides-extra
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# BUS 2002 Datasets

A Python package containing curated datasets for Washington and Lee University's BUS 202/215: Business Analytics course.

## Installation

```bash
pip install bus2002
```

## Usage

```python
from bus2002 import load_students

# Load student data
students_df = load_students()
print(students_df.head())

# List all available datasets
from bus2002 import list_datasets
list_datasets()
```

## Available Datasets

1. **students.csv** - Sample student data with names and ages

## Features

- 📦 Datasets bundled with the package (works offline after installation)
- 🚀 Easy-to-use loading functions
- 📚 Built-in documentation
- 🔄 Version controlled

## Requirements

- Python >= 3.7
- pandas >= 1.3.0

## Author

**Dr. Bright Frimpong**  
Assistant Professor, Business Administration  
Williams School of Commerce, Economics, and Politics  
Washington and Lee University

## License

MIT License - Free for educational use

## Updates

To get the latest version:
```bash
pip install --upgrade bus2002
```

## Support

For questions or issues, contact: bfrimpong@wlu.edu
