Explorační vizualizace videoherních dat

This bachelor’s thesis focuses on the exploratory analysis of video game data with the aim of examining the relationship between playtime and the commercial success of titles. The theoretical section defines key concepts of the video game market, such as game data science and the principles of exploratory data analysis according to John W. Tukey. The practical section works with publicly available datasets from the Kaggle platform. These are secondary data originally created via web scraping from the HowLongToBeat portal for playtime and VGChartz for sales. The data is subsequently cleaned, transformed, and merged in the R environment. The subsequent analysis indicates a strong asymmetry in video game market data due to hit-driven titles and highlights specific anomalies such as the dominance of handheld consoles in Japan. The most significant finding is the identification of a very weak linear correlation between the average total game length and global sales. The practical output of this work is an interactive analytical dashboard created in Power BI, which enables the visual exploration of market trends and player preferences.