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    Clarifying Hypotheses by Sketching Data

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    Date
    2016
    Author
    Marasoiu, Mariana
    Blackwell, Alan F.
    Sarkar, Advait
    Spott, Martin
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    Abstract
    Discussions between data analysts and colleagues or clients with no statistical background are difficult, as the analyst often has to teach and explain their statistical and domain knowledge. We investigate work practices of data analysts who collaborate with non-experts, and report findings regarding types of analysis, collaboration and availability of data. Based on these, we have created a tool to enhance collaboration between data analysts and their clients in the initial stages of the analytical process. Sketching time series data allows analysts to discuss expectations for later analysis. We propose function composition rather than freehand sketching, in order to structure the analyst-client conversation by independently expressing expected features in the data. We evaluate the usability of our prototype through two small studies, and report on user feedback for future iterations.
    BibTeX
    @inproceedings {10.2312:eurovisshort.20161173,
    booktitle = {EuroVis 2016 - Short Papers},
    editor = {Enrico Bertini and Niklas Elmqvist and Thomas Wischgoll},
    title = {{Clarifying Hypotheses by Sketching Data}},
    author = {Marasoiu, Mariana and Blackwell, Alan F. and Sarkar, Advait and Spott, Martin},
    year = {2016},
    publisher = {The Eurographics Association},
    ISSN = {-},
    ISBN = {978-3-03868-014-7},
    DOI = {10.2312/eurovisshort.20161173}
    }
    URI
    http://dx.doi.org/10.2312/eurovisshort.20161173
    https://diglib.eg.org:443/handle/10
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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.
    TUGFhA