截距图:用于比较状态变化的交互式径向可视化

Shaolun Ruan, Yong Wang, Qiang Guan
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引用次数: 2

摘要

在医学、金融工程、社会学、生物科学等多个应用领域,往往需要对多个数据项进行状态变化比较。斜率图和分组柱状图被广泛用于显示不同数据状态的“前后”故事,并指示它们的变化。然而,他们将状态变化可视化为斜率或杆的差异,这已被证明对定量比较不太有效。此外,随着数据项数量的增加,这两种视觉设计都存在视觉混乱的问题。在本文中,我们提出了一种新的视觉设计——截距图,以促进状态变化的有效交互比较。具体而言,提出了一种径向设计,将每个数据项的起始和结束状态可视化,线段长度显式编码“状态变化”,通过交互调节内圆轴的半径,截距图可以平滑地过滤大的状态变化,放大相似状态变化之间的差异,减轻了视觉混乱问题,增强了状态变化的有效比较。在实际数据集上,通过对比截距图与斜率图、分组柱状图进行了案例研究,验证了截距图的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intercept Graph: An Interactive Radial Visualization for Comparison of State Changes
State change comparison of multiple data items is often necessary in multiple application domains, such as medical science, financial engineering, sociology, biological science, etc. Slope graphs and grouped bar charts have been widely used to show a “before-and-after” story of different data states and indicate their changes. However, they visualize state changes as either slope or difference of bars, which has been proved less effective for quantitative comparison. Also, both visual designs suffer from visual clutter issues with an increasing number of data items. In this paper, we propose Intercept Graph, a novel visual design to facilitate effective interactive comparison of state changes. Specifically, a radial design is proposed to visualize the starting and ending states of each data item and the line segment length explicitly encodes the “state change By interactively adjusting the radius of the inner circular axis, Intercept Graph can smoothly filter the large state changes and magnify the difference between similar state changes, mitigating the visual clutter issues and enhancing the effective comparison of state changes. We conducted a case study through comparing Intercept Graph with slope graphs and grouped bar charts on real datasets to demonstrate the effectiveness of Intercept Graph.
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