Albireo: An Interactive Tool for Visually Summarizing Computational Notebook Structure
2019 IEEE Visualization in Data Science (VDS)(2019)
摘要
Computational notebooks have become a major medium for data exploration and insight communication in data science. Although expressive, dynamic, and flexible, in practice they are loose collections of scripts, charts, and tables that rarely tell a story or clearly represent the analysis process. This leads to a number of usability issues, particularly in the comprehension and exploration of notebooks. In this work, we design, implement, and evaluate Albireo, a visualization approach to summarize the structure of notebooks, with the goal of supporting more effective exploration and communication by displaying the dependencies and relationships between the cells of a notebook using a dynamic graph structure. We evaluate the system via a case study and expert interviews, with our results indicating that such a visualization is useful for an analyst's self-reflection during exploratory programming, and also effective for communication of narratives and collaboration between analysts.
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关键词
Software visualization,computational notebooks,provenance analysis,insight communication
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