This project explores an online gaming behaviour dataset using Python and Jupyter Notebook. The implemented analysis examines dataset structure, missing values, descriptive statistics, and categorical distributions, with visualisations of player characteristics and gameplay activity. It establishes an exploratory foundation for further investigation of player engagement and predictive modelling.