Reusing Interactive Analysis Workflows

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dc.contributor.authorGadhave, Kiranen_US
dc.contributor.authorCutler, Zachen_US
dc.contributor.authorLex, Alexanderen_US
dc.contributor.editorBorgo, Ritaen_US
dc.contributor.editorMarai, G. Elisabetaen_US
dc.contributor.editorSchreck, Tobiasen_US
dc.date.accessioned2022-06-03T06:05:52Z
dc.date.available2022-06-03T06:05:52Z
dc.date.issued2022
dc.description.abstractInteractive visual analysis has many advantages, but an important disadvantage is that analysis processes and workflows cannot be easily stored and reused. This is in contrast to code-based analysis workflows, which can simply be run on updated datasets, and adapted when necessary. In this paper, we introduce methods to capture workflows in interactive visualization systems for different interactions such as selections, filters, categorizing/grouping, labeling, and aggregation. These workflows can then be applied to updated datasets, making interactive visualization sessions reusable. We demonstrate this specification using an interactive visualization system that tracks interaction provenance, and allows generating workflows from the recorded actions. The system can then be used to compare different versions of datasets and apply workflows to them. Finally, we introduce a Python library that can load workflows and apply it to updated datasets directly in a computational notebook, providing a seamless bridge between computational workflows and interactive visualization tools.en_US
dc.description.number3
dc.description.sectionheadersWorkflows and Parameters
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume41
dc.identifier.doi10.1111/cgf.14528
dc.identifier.issn1467-8659
dc.identifier.pages133-144
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14528
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14528
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleReusing Interactive Analysis Workflowsen_US
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