As part of my Master in Data Science & AI at Evolve , I worked on a data analysis project using a real Steam games dataset from 2025. The goal of the project was to practice the full workflow of a data analysis project: understanding the dataset, cleaning it, transforming variables, creating visualizations and explaining the results in a way that is easy to understand. The main question I wanted to answer was: Which Steam genres have the highest average estimated users per game, and which ones have the highest average playtime? Later, I expanded the analysis with two additional questions: Are there clear differences between free and paid games? Is there any relationship between positive ratings, estimated users and average playtime? Dataset The dataset used in this project was Steam Games dataset 2025 , downloaded from Kaggle.…