This repository contains data analysis on obesity levels based on eating habits and physical activity. It uses Multiple Correspondence Analysis (MCA) with two approaches to handle quantitative variables, exploring relationships between demographic, behavioral, and health-related factors.
- Scripts for data preprocessing and MCA
- Visualizations of results
- Study report (FRENCH)
- Presentation slides (FRENCH)
The analysis uses the Estimation of Obesity Levels Based on Eating Habits and Physical Condition dataset from the UCI Machine Learning Repository.
Made by Mohamed El Amine Kherroubi and Bousdjira Nadine. The code and documentation have been refactored and optimized with AI-assisted tools for improved readability and efficiency.