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    InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics

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    Date
    2019
    Author
    Mathisen, Andreas ORCID
    Horak, Tom
    Klokmose, Clemens Nylandsted ORCID
    Grønbæk, Kaj
    Elmqvist, Niklas
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    Abstract
    Analyzing complex data is a non-linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators can be engaged in the same analysis, or intermediate results can be reported to stakeholders. However, current data-driven communication tools are detached from the analysis process and promote linear stories that forego the hierarchical and branching nature of data analysis, which leads to either too much or too little detail in the final report. We propose a conceptual design for integrated data-driven reporting that allows for iterative structuring of insights into hierarchies linked to analytic provenance and chosen analysis views. The hierarchies become dynamic and interactive reports where collaborators can review and modify the analysis at a desired level of detail. Our web-based INSIDEINSIGHTS system provides interaction techniques to annotate states of analytic components, structure annotations, and link them to appropriate presentation views. We demonstrate the generality and usefulness of our system with two use cases and a qualitative expert review.
    BibTeX
    @article {10.1111:cgf.13717,
    journal = {Computer Graphics Forum},
    title = {{InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics}},
    author = {Mathisen, Andreas and Horak, Tom and Klokmose, Clemens Nylandsted and Grønbæk, Kaj and Elmqvist, Niklas},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13717}
    }
    URI
    https://doi.org/10.1111/cgf.13717
    https://diglib.eg.org:443/handle/10.1111/cgf13717
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA