Complex data analysis inherently seeks unexpected insights through exploratory \re{visual analysis} methods, transcending logical, step-by-step processing. However, \re{existing interfaces such as notebooks and dashboards have limitations in exploration and comparison for visual data analysis}. Addressing these limitations, we introduce a "design-like" intelligent canvas environment integrating generative AI into data analysis, offering rapid prototyping, iteration, and comparative visualization management. Our dual contributions include the integration of generative AI components into a canvas interface, and empirical findings from a user study (N=10) evaluating the effectiveness of the canvas interface.

翻译：复杂数据分析本质上是透过探索式可视化分析方法寻求意外洞察，超越逻辑化的逐步处理流程。然而，现有的笔记型电脑和仪表板等界面在可视化数据分析的探索与比较方面存在局限。针对这些局限，我们引入了一种"设计式"智能画布环境，将生成式AI融入数据分析，实现快速原型制作、迭代开发与比较式可视化管理的功能。我们的双重贡献包括：将生成式AI组件整合至画布界面，以及通过用户研究（N=10）获得的实证发现，评估该画布界面的有效性。