Descriptive Analytics Approach to Determine Popularity of Games Played on Android Platform

Authors

  • Saifuddin Mohtaram, Kalsum U. H., Hakimi M., Mariani Mohd. Dahlan, Shima Sabri, Airuddin Ahmad

Keywords:

Game, Most Installed Games, Highest Rating Games, Action Game, Android Game

Abstract

The method utilized in this study involves descriptive analytics, specifically employing data collected from Kaggle, a platform known for hosting benchmark data on various topics, including games. The study initially gathers data from Kaggle, followed by a rigorous data cleaning process to ensure the accuracy and reliability of the results obtained. Subsequently, the cleaned data is categorized and visualized to identify the most installed games and those with the highest rating of FIVE (5) stars. Furthermore, the study delves into previous approaches used to determine popular games, drawing from methodologies akin to those utilized in assessing game popularity. These approaches typically involve analyzing data on game usage, user engagement metrics, and feedback from users. Platforms like Kaggle provide valuable datasets for researchers to analyze and draw insights from regarding game popularity trends. By evaluating factors such as installation rates and user ratings, the study identifies and evaluates the most popular games among others listed in the dataset.

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Published

26.03.2024

How to Cite

Saifuddin Mohtaram. (2024). Descriptive Analytics Approach to Determine Popularity of Games Played on Android Platform. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 3120 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5968

Issue

Vol. 12 No. 21s (2024)

Section

Research Article

License

Creative Commons License

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