Master Thesis: Nutrition in Gaming

Survey of 200+ gamers. EDA, clustering (KMeans), PCA, and dashboards summarizing nutrition behavior profiles.

Tech Stack

Python Pandas Scikit-learn Tableau

Overview

This project focused on understanding nutrition and lifestyle patterns among gamers. A survey of 200+ participants was conducted, followed by data cleaning, dimensionality reduction using PCA, and clustering with KMeans to identify behavior profiles. Results were visualized in interactive dashboards.

Results

View on GitHub Back to Portfolio