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Curated datasets for WLU BUS 202 Business Analytics

Project description

BUS 2002 Datasets

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

Installation

pip install bus2002

Usage

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:

pip install --upgrade bus2002

Support

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

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