Towards Systematic Design Considerations for Visualizing Cross-View Data Relationships
Towards Systematic Design Considerations for Visualizing Cross-View Data Relationships
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DOI：
10.1109/tvcg.2021.3102966
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发表时间：
2021-08
影响因子：
5.2
通讯作者：
Maoyuan Sun;Akhil Namburi;D. Koop;Jian Zhao;Tianyi Li;Haeyong Chung
中科院分区：
文献类型：
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作者：
Maoyuan Sun;Akhil Namburi;D. Koop;Jian Zhao;Tianyi Li;Haeyong Chung
由于数据的规模和分析任务的复杂性，Insight Discovery通常需要协调多个可视化（视图），每个视图从不同角度显示数据的不同部分或相同的数据。例如，为了分析汽车销售记录，营销分析师使用销售图表来可视化汽车销售趋势，一个散点图检查不同汽车的价格和马力，以及矩阵以比较交易类型的交易金额。为了探索跨多个视图的相关信息，当前的视觉分析工具在很大程度上依赖于刷牙和链接技术，这可能需要大量的用户工作（例如，许多试用试图尝试）。显示跨视图数据关系的其他有效方法可能还有其他有效的方法来支持具有多种视图的数据分析，但是目前没有指导方针来应对这一设计挑战。在本文中，我们介绍了用于可视化跨视图数据关系的系统设计注意事项，该考虑利用了关系的描述性方面和多视图可视化的可用视觉上下文。我们讨论了不同设计的优缺点，以显示跨视图数据关系，并提供一组建议，以帮助从业者做出设计决策。
Due to the scale of data and the complexity of analysis tasks, insight discovery often requires coordinating multiple visualizations (views), with each view displaying different parts of data or the same data from different perspectives. For example, to analyze car sales records, a marketing analyst uses a line chart to visualize the trend of car sales, a scatterplot to inspect the price and horsepower of different cars, and a matrix to compare the transaction amounts in types of deals. To explore related information across multiple views, current visual analysis tools heavily rely on brushing and linking techniques, which may require a significant amount of user effort (e.g., many trial-and-error attempts). There may be other efficient and effective ways of displaying cross-view data relationships to support data analysis with multiple views, but currently there are no guidelines to address this design challenge. In this article, we present systematic design considerations for visualizing cross-view data relationships, which leverages descriptive aspects of relationships and usable visual context of multi-view visualizations. We discuss pros and cons of different designs for showing cross-view data relationships, and provide a set of recommendations for helping practitioners make design decisions.