Abstract
Data visualization is an alternative representation to analyze complex data. It eases the viewers to identify the trends and patterns. Based on the previous literature, some countries such as United States, United Kingdom, Australia, and India have used data visualization to represent their election data. However, Malaysia election data was reported in a static format includes graphs and tables, which are difficult for Malaysia citizen to understand the overall distribution of the parliament seats according to the political parties. Therefore, this paper proposed a hexagon tile grid map visualization technique to visualize the Malaysia 2018 General Election more dynamically. This technique is chosen as the hexagon offers a more flexible arrangement of the tiles and able to maintain the border of the geographic map. Besides, it allows the users to explore the data interactively, which covers all the parliaments in Malaysia, together with the winning party, its candidate, and demographical data. The result shows that the hexagon tile grid map technique can represent the whole election result effectively.
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The authors would like to thank Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA for sponsoring this paper.
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Abdullah, N.A.S., Mohamed Idzham, M.N., Aliman, S., Idrus, Z. (2019). Malaysia Election Data Visualization Using Hexagon Tile Grid Map. In: Yap, B., Mohamed, A., Berry, M. (eds) Soft Computing in Data Science. SCDS 2018. Communications in Computer and Information Science, vol 937. Springer, Singapore. https://doi.org/10.1007/978-981-13-3441-2_28
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DOI: https://doi.org/10.1007/978-981-13-3441-2_28
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