论文标题
Vismaker：一个面向问题的可视化建议系统，用于数据探索
VisMaker: a Question-Oriented Visualization Recommender System for Data Exploration
论文作者
论文摘要
数据生产的日益快速增长以及随之而来的探索数据以获取最多样化问题的答案，促进了工具的开发，以促进数据可视化的操纵和构建。但是，构建有用的数据可视化并不是一项琐碎的任务：它可能涉及大量的微妙决定，需要其设计师的经验。在本文中，我们提出了Vismaker，这是一种可视化推荐工具，该工具使用一组规则来提出通过问题组织和描述的可视化建议，以促进对建议的理解并协助视觉探索过程。我们进行了两项研究，将我们的工具与Voyager 2进行了比较，并分析了使用工具的某些方面。我们收集了参与者的反馈，以确定建议方法的优势和缺点。结果，我们收集了评论，以帮助改善该域中工具的开发。
The increasingly rapid growth of data production and the consequent need to explore data to obtain answers to the most varied questions have promoted the development of tools to facilitate the manipulation and construction of data visualizations. However, building useful data visualizations is not a trivial task: it may involve a large number of subtle decisions that require experience from their designer. In this paper, we present VisMaker, a visualization recommender tool that uses a set of rules to present visualization recommendations organized and described through questions, in order to facilitate the understanding of the recommendations and assisting the visual exploration process. We carried out two studies comparing our tool with Voyager 2 and analyzed some aspects of the use of tools. We collected feedback from participants to identify the advantages and disadvantages of our recommendation approach. As a result, we gathered comments to help improve the development of tools in this domain.
