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    • 37-Issue 3
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    Chart Constellations: Effective Chart Summarization for Collaborative and Multi-User Analyses

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    Date
    2018
    Author
    Xu, Shenyu ORCID
    Bryan, Chris
    Li, Jianping Kelvin
    Zhao, Jian
    Ma, Kwan-Liu
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    Abstract
    Many data problems in the real world are complex and require multiple analysts working together to uncover embedded insights by creating chart-driven data stories. How, as a subsequent analysis step, do we interpret and learn from these collections of charts? We present Chart Constellations, a system to interactively support a single analyst in the review and analysis of data stories created by other collaborative analysts. Instead of iterating through the individual charts for each data story, the analyst can project, cluster, filter, and connect results from all users in a meta-visualization approach. Constellations supports deriving summary insights about prior investigations and supports the exploration of new, unexplored regions in the dataset. To evaluate our system, we conduct a user study comparing it against data science notebooks. Results suggest that Constellations promotes the discovery of both broad and high-level insights, including theme and trend analysis, subjective evaluation, and hypothesis generation.
    BibTeX
    @article {10.1111:cgf.13402,
    journal = {Computer Graphics Forum},
    title = {{Chart Constellations: Effective Chart Summarization for Collaborative and Multi-User Analyses}},
    author = {Xu, Shenyu and Bryan, Chris and Li, Jianping Kelvin and Zhao, Jian and Ma, Kwan-Liu},
    year = {2018},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13402}
    }
    URI
    http://dx.doi.org/10.1111/cgf.13402
    https://diglib.eg.org:443/handle/10.1111/cgf13402
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    Eurographics Association copyright © 2013 - 2022 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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