Abstract
Football is one of the world's most popular sports, with thousands of amateur and professional players taking part every day. As a result, massive amounts of data are unavoidable. All this information is critical for many parties, including coaches, players, managers, betting companies, and the media, to analyze. However, simply viewing league standings and statistics may make it difficult for the average citizen or football fan to analyze and learn detailed information about football statistics and history. This is because most football statistic websites and sports data visual studies use basic infographics that provide limited insights into the data or use complicated methodologies that are difficult to understand for non-visualization professionals. In today's modern data-driven world, it's critical to identify the best, most self-explanatory way to present data, so that visual patterns that relate to the underlying available data can be formed. The goal of this project is to investigate the English Premier League's data analysis requirements and techniques, design and develop an English Premier League data analysis using a data visualization approach, and finally evaluate and analyze the data visualization of the English Premier League analysis using usability testing. Users' usability testing has been carried out to ensure that the project's objectives are met. The perceived usability score indicates that the website is easy to use, and the total mean of user satisfaction indicates that site visitors are impressed. According to these two general indicators, users are pleased with the website and may use it to learn about English Premier League statistics. As a result, the study successfully developed an English Premier League dashboard using a data visualization approach for analyzing football data and discovering patterns, connections, and ideas.
Metadata
Item Type: | Student Project |
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Creators: | Creators Email / ID Num. Othman Jama, Mohammad Hamzah UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Advisor Sedek, Khairul Anwar UNSPECIFIED |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Computer networks. General works. Traffic monitoring > Web applications |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of information technology (Hons) |
Keywords: | Data visualization, English Premier League, open data, interactive dashboard |
Date: | 2022 |
URI: | https://ir.uitm.edu.my/id/eprint/83142 |
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