• DocumentCode
    3657969
  • Title

    Quick Vis: A Web-Based Visualization Delivering Flexible Exploration of User-Driven Analytics

  • Author

    Alessandro Agnello;Haim Levkowitz

  • Author_Institution
    Univ. of Massachusetts Lowell, Lowell, MA, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    468
  • Lastpage
    473
  • Abstract
    Web visualizations have become an integral tool for representing data in an accessible and intelligible format. This paper presents a new workflow, Quick Vis, which enables an analyst to inspect data sets and manipulate properties within any data set. This subsequently engages our analytic engine, saves each property set as a profile (discussed in Section 5), and allows comparisons between profiles for further findings. In addition to describing our proposed techniques, we provide a case study that demonstrates the usefulness of Quick Vis for real life problems.
  • Keywords
    "Engines","Data visualization","Market research","Temperature","Visualization","Standards","Browsers"
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation (iV), 2015 19th International Conference on
  • ISSN
    1550-6037
  • Type

    conf

  • DOI
    10.1109/iV.2015.84
  • Filename
    7272643