ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics

ToonNote: Improving Communication in Computational Notebooks Using Interactive Data Comics
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ToonNote:使用交互式数据漫画改善计算笔记本中的通信

DOI:
10.1145/3411764.3445434
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发表时间:
2021
期刊:
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Andrea Bianchi
Andrea Bianchi
中科院分区:
--
文献类型:
--
作者:
Daye Kang;Tony Ho;Nicolai Marquardt;Bilge Mutlu;Andrea Bianchi

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计算笔记本可帮助数据分析师分析和可视化数据集,并共享分析过程和输出。然而,笔记本通常结合了代码(例如,Python 脚本)、注释和输出(例如,表格、图表)。众所周知,不同材料的组合会阻碍笔记本的理解,使得分析师很难与不熟悉数据集的其他分析师进行协作。为了缓解这个问题,我们引入了 ToonNote,这是一个 JupyterLab 扩展,可以将笔记本转换为“数据漫画”。 ToonNote 提供了 Jupyter 笔记本的简化视图,突出显示最重要的结果,同时支持对数据集的交互式和自由探索。本文介绍了推动该系统的形成性研究的结果、其实施以及对 12 位用户的评估,证明了所制作漫画的有效性。我们讨论我们的研究结果如何为计算笔记本的界面和支持不同协作者的功能的未来设计提供信息。
Computational notebooks help data analysts analyze and visualize datasets, and share analysis procedures and outputs. However, notebooks typically combine code (e.g., Python scripts), notes, and outputs (e.g., tables, graphs). The combination of disparate materials is known to hinder the comprehension of notebooks, making it difficult for analysts to collaborate with other analysts unfamiliar with the dataset. To mitigate this problem, we introduce ToonNote, a JupyterLab extension that enables the conversion of notebooks into “data comics.” ToonNote provides a simplified view of a Jupyter notebook, highlighting the most important results while supporting interactive and free exploration of the dataset. This paper presents the results of a formative study that motivated the system, its implementation, and an evaluation with 12 users, demonstrating the effectiveness of the produced comics. We discuss how our findings inform the future design of interfaces for computational notebooks and features to support diverse collaborators.
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