文章基本信息

标题：DATA VISUALIZATION: TOWARD VISUALIZATION AWARENESS IN OVERLAPPED DOTS MANAGEMENT TECHNIQUES
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作者：WAN AZZURA WAN RAMLI ; ZAINURA IDRUS ; ZANARIAH IDRUS 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：12
页码：3390-3401
出版社：Journal of Theoretical and Applied
摘要：Today, lead business, government and academic leader used data visualization to make better decision for the specific problem. Data visualization is used to visualize and analyze complex data in various fields of knowledge. However, in dot-plot based visualization, over plot or overlap dot occur when visualizing huge data. The overlapped dots, is a scenario where dots are plotted on top of each other. When this occurs, they create convoluted and confusing visual and data presented are not accurate. There are various techniques to manage overlapped dots. However, the discussion is on the individual technique and grouping them into their similarities is rarely discussed. Moreover, the discussion hardly focuses on the impact of such techniques to visualization awareness. The awareness is where users are aware that the original data have gone through some pre-processed stage thus, what appears on the visual form is the distorted version of the data. Thus, in order to reduce the gap, two objectives have been set. The first objective is to identify the similarity among the techniques through their behaviors. The second objective is to analyze the impact of such behaviors to visualization awareness. To achieve the objectives, fifteen commonly dot overlapped management techniques have been identified and their behaviors are analyzed. The behaviors are then grouped into six main behaviors. Finally, ten impacts of the behaviors to visualization awareness have been identified. Such awareness is important as part of the input during pattern extracting stage.
关键词：Overplotting; Overlap; Data Visualization; Dot Management Technique