Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way
This addresses the need for data analysts to efficiently iterate between data transformations and chart designs during exploratory data analysis, though it is incremental as it builds on existing AI-powered visualization systems.
The paper tackles the problem of iterative creation of data visualizations by introducing Data Formulator 2, which blends graphical and natural language inputs to enable more effective intent conveyance and AI-driven data transformations, resulting in a user study showing participants could develop their own iteration styles to complete challenging data exploration sessions.
Data analysts often need to iterate between data transformations and chart designs to create rich visualizations for exploratory data analysis. Although many AI-powered systems have been introduced to reduce the effort of visualization authoring, existing systems are not well suited for iterative authoring. They typically require analysts to provide, in a single turn, a text-only prompt that fully describe a complex visualization. We introduce Data Formulator 2 (DF2 for short), an AI-powered visualization system designed to overcome this limitation. DF2 blends graphical user interfaces and natural language inputs to enable users to convey their intent more effectively, while delegating data transformation to AI. Furthermore, to support efficient iteration, DF2 lets users navigate their iteration history and reuse previous designs, eliminating the need to start from scratch each time. A user study with eight participants demonstrated that DF2 allowed participants to develop their own iteration styles to complete challenging data exploration sessions.