ABSTRACT

The market for electronic games, such as video and computer games, is continually expanding since they are products that increasingly rely on technological advances. Hierarchical clustering was used to identify the players most similar to a given player. Exploratory data analysis was performed to review the dataset variables and investigate possible correlations between them. The application consists of selecting a player to be compared (the default is Cristiano Ronaldo). The user can then select the filters: overall (between 0 and 100), height (between 155 and 203 cm), position, and preferred foot. The creation of the application was highly relevant in the teaching and learning process of Data Science, since the last unit of the discipline is a project serving to put the acquired knowledge into practice. In addition, an article on the largest television channel in the state was dedicated to the application.