论文标题
NOVA：一种创建笔记本电脑现实视觉分析的实用方法
NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics
论文作者
论文摘要
我们如何开发可以轻松采用的视觉分析（VA）工具？可视化研究人员已经开发了大量基于网络的VA工具，以帮助数据科学家进行各种任务。但是，采用这些独立系统可能具有挑战性，因为它们要求数据科学家创建新的工作流程以简化VA过程。最近的调查表明，计算笔记本一直主导数据科学家的分析工作流程，因为这些笔记本无缝地结合了文本，代码和可视化，从而使用户可以快速迭代代码实验。为了帮助可视化研究人员开发可以轻松地集成到现有数据科学工作流中的VA工具，我们提出了Nova，这是一种简单而灵活的方法，可以调整基于Web的VA系统用于笔记本电脑。我们提供了使用此方法与不同的Web开发技术和不同类型的计算笔记本的详细示例。部署的应用程序示例强调了Nova易于采用，并且数据科学家喜欢Innotebook VA。 NOVA可从https://github.com/poloclub/nova获得。
How can we develop visual analytics (VA) tools that can be easily adopted? Visualization researchers have developed a large number of web-based VA tools to help data scientists in a wide range of tasks. However, adopting these standalone systems can be challenging, as they require data scientists to create new workflows to streamline the VA processes. Recent surveys suggest computational notebooks have been dominating data scientists' analytical workflows, as these notebooks seamlessly combine text, code, and visualization, allowing users to rapidly iterate code experiments. To help visualization researchers develop VA tools that can be easily integrated into existing data science workflows, we present NOVA, a simple and flexible method to adapt web-based VA systems for notebooks. We provide detailed examples of using this method with diverse web development technologies and different types of computational notebooks. Deployed application examples highlight that NOVA is easy to adopt, and data scientists appreciate in-notebook VA. NOVA is available at https://github.com/poloclub/nova.
