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需要通过探索性可视化分析方法发掘意外洞察，超越逻辑性的逐步处理流程。然而，现有界面（如笔记本和仪表盘）在可视化数据分析的探索与对比方面存在局限性。为应对这些挑战，我们引入了一种"类设计式"的智能画布环境，将生成式人工智能融入数据分析过程，实现了快速原型设计、迭代与比较性可视化管理的功能。我们的双重贡献包括：将生成式AI组件集成至画布界面，以及通过用户研究（N=10）获得的实证发现，评估了该画布界面的有效性。