Flexible Visualisations for Analysis

نویسندگان

  • C. R. Knight
  • Malcolm. Munro
چکیده

Supporting multiple views, and the rapid development of usable data analysis tools, are necessary for successful comprehension of any large and complex dataset. Comprehension studies have shown that different views, and the ability to selectively filter data are important. This paper presents research that has been done to address this issue. The main contribution is the development of a framework in which a variety of analysis tools can be integrated. This is accompanied by a well-defined API for extending the range of services currently available. The use of the framework implementation is also presented to demonstrate the principles of the framework and to show the ease with which the goals of multiple views and rapid development can be achieved.

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تاریخ انتشار 2002