A data analysis project exploring the correlation between math enjoyment and CS enrollment, with visualizations, database storage, and statistical analysis.
This project analyzes survey data to examine the relationship between student enjoyment of mathematics and their enrollment in computer science courses. It includes data visualization, database storage, and statistical computations.
- Python 3.x
- Clone the repository
- Install required dependencies
Run graph.py to see the graph. Use DB Broswer for Sqlite to see the data in the database.
- CSV - Data import/export: https://docs.python.org/3/library/csv.html
- SQLite - Database storage: https://docs.python.org/3/library/sqlite3.html
- Matplotlib - Data visualization: https://matplotlib.org/stable/
- NumPy - Numerical computing: https://numpy.org/doc/stable/index.html
- Pytest - Testing framework: https://docs.pytest.org/en/stable/
- All mathematical calculations were completed independently before project creation
- This project was created as part of Summit Technology Class coursework on Data and AI
MIT