Summary: Data Visualization

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  • Explore complex data mantra

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  • The cognitive aspects of an information management task include:

    • Time and effort required to learn the system
    • Load on the user's working memory
    • Effort required for comparison
    • Effort required for context switching
  • How to support the user’s information management task?


    • Selection(identification of set of views)


    •Presentation (menu, sequential order, toggles, way of configuration)


    •Interaction (pan, zoom, filter, linking, brushing)
  • the guideline for designing an interactive information visualization system, also known as the “information visualization’s mantra”:

    overview first,
      then, zoom and filtering,
      finally, details on demand.
  • To really get insight from the data, a system should provide different means of interacting with the data.  Two elements play a crucial role:

    Representation and interaction
  • Multiviews

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  • Decision Support System

    One of the sectors in which information visualization is enjoying great success.



    Characterized by a great amount of data and numerous attributes and are very important as they provide essential information for managers, analysts, and directors, who are required to make decisions that are crucial for the running of the company.
  • The best tool to compare different types of complex data

     Multiview
  • What kinds of data can be in a multiview?


    • 1D linear
    •2D map
    •3D world
    •Multidimensional
    •Temporal
    •Tree
    •Network
  • 1D linear data

    Sequences of some data element (characters, numbers, icons)
  • 2D map data

    Data with a genuine sense of “area,” such as maps, floor plans, and layout



    According to Shneiderman, most visualizations can be placed in this category.
  • If the data doesn’t fit in ONE Screen without it becoming cluttered

    you can use Multiviews
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