Modern visualization tools aim to allow data analysts to easily create exploratory visualizations. When the input data layout conforms to the visualization design, users can easily specify visualizations by mapping data columns to visual channels of the design. However, when there is a mismatch between data layout and the design, users need to spend significant effort on data transformation. We propose Falx, a synthesis-powered visualization tool that allows users to specify visualizations in a similarly simple way but without needing to worry about data layout. In Falx, users specify visualizations using examples of how concrete values in the input are mapped to visual channels, and Falx automatically infers the visualization specification and transforms the data to match the design. In a study with 33 data analysts on four visualization tasks involving data transformation, we found that users can effectively adopt Falx to create visualizations they otherwise cannot implement.

中文翻译：

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Falx：综合动力的可视化创作

现代化的可视化工具旨在使数据分析人员轻松创建探索性可视化。当输入数据布局符合可视化设计时，用户可以通过将数据列映射到设计的可视通道来轻松指定可视化。但是，当数据布局与设计不匹配时，用户需要花费大量精力进行数据转换。我们建议使用Falx，这是一种由综合功能驱动的可视化工具，它允许用户以类似的简单方式指定可视化，而无需担心数据布局。在Falx中，用户使用示例将输入中的具体值映射到可视通道的方式来指定可视化，并且Falx自动推断可视化规范并转换数据以匹配设计。