Data-Analysis-Non-Parametric-Testing-

This is a Data Science project to analyse correlation between health conditions. This project aim is to don't use any build-in libraries and complete the analysis with raw coding

Health Data Analysis in Raw Python

This project shows how to analyze health data using only built-in Python, with no external libraries.

Core Features

• Pure Python CSV parsing (no csv, pandas, etc.)
• Extracts and cleans data from any column
• Calculates Kendall Tau correlation between columns
• Prints an easy-to-read correlation matrix

How to Use

1. Add your CSV file (with a header row) to the project directory.
2. Run the script:

   python health_data_analysis.py

3. View the sample values, correlation coefficients, and the full correlation table in your terminal.

Who is this for?

• Learners: See how data analysis works at the most basic Python level.
• Educators: Use as a teaching tool for core concepts.

MIT License.
Questions? Open an issue!