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
- 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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