论文标题
可视化，数据和分析的假设语法
A Grammar of Hypotheses for Visualization, Data, and Analysis
论文作者
论文摘要
我们提出了一种语法，用于在视觉数据分析中表达假设，以形式化以前的“分析任务”的抽象概念。通过语法的镜头，我们为如何将用户的数据分析问题作为一组假设（假设空间）奠定了基础。我们证明，我们基于语法的分析任务方法可以提供一种系统的方法来统一可视化研究中的三个不同空间：数据集可以表达的假设（数据假设空间），用户希望通过分析（一个分析空间）（一个分析假设）和可视化设计的空间（一个可视化的空间）进行了可视化（一个可视化的假设），该假设是一种可视化（一个分析空间）。我们说明，这三个空间的形式化如何通过使用共享语言对假设使用共享语言来为未来的可视化评估，知识启发，分析出处和可视化建议提供信息。最后，我们将我们提出的基于语法的方法与现有的视觉分析模型进行了比较，并讨论了新的假设驱动的视觉分析理论的潜力。
We present a grammar for expressing hypotheses in visual data analysis to formalize the previously abstract notion of "analysis tasks." Through the lens of our grammar, we lay the groundwork for how a user's data analysis questions can be operationalized and automated as a set of hypotheses (a hypothesis space). We demonstrate that our grammar-based approach for analysis tasks can provide a systematic method towards unifying three disparate spaces in visualization research: the hypotheses a dataset can express (a data hypothesis space), the hypotheses a user would like to refine or verify through analysis (an analysis hypothesis space), and the hypotheses a visualization design is capable of supporting (a visualization hypothesis space). We illustrate how the formalization of these three spaces can inform future research in visualization evaluation, knowledge elicitation, analytic provenance, and visualization recommendation by using a shared language for hypotheses. Finally, we compare our proposed grammar-based approach with existing visual analysis models and discuss the potential of a new hypothesis-driven theory of visual analytics.
