Abstract
This research aimed to design a new tool for data visualization with performed features - named Bubble-Wall Plot and assumed that it could be an effective tool for developing data visualization systems. This research reviewed seven data visualization approaches for identifying the outliers, including Line Charts, Parallel Coordinates Plot, Scatter Plots, TreeMap, Glyphs, Pixel-based techniques, and Redial visualizations. The challenges for current data visualization approaches were also summarized. Two principles were addressed to design the new tool- keep it simple strategy with the smallest strategy. As a result, the newly designed Bubble-Wall Plot has successfully been adopted to develop a warning system for identifying the outliers in a Case Study company, which was deployed for user acceptance testing in May 2021. The main contribution is that this newly designed tool with the simplest style was well-designed and proven to effectively develop a warning visualization system.
Recommended Citation
Wu, Robert M.X.; Wang, Yongwen; Yan, Wanjun; Gou, Jinwen; Liu, Bao; Shi, Yong; Zhao, Haijun; Gide, Ergun; Cui, Xinxin; Wang, Peilin; Wang, Ya; Fan, Jianfeng; and Li, Qi, "Bubble-Wall Plot: A New Tool for Data Visualization" (2021). ACIS 2021 Proceedings. 12.
https://aisel.aisnet.org/acis2021/12