A Tool for Analyzing Categorical Data Visually with Granular Representation

نویسندگان

  • Kousuke Shiraishi
  • Kazuo Misue
  • Jiro Tanaka
چکیده

Categorical data appears in various places, and dealing with it has been a major concern in analysis fields. However, representing not only global trends but also local trends of data simultaneously by conventional techniques is difficult. We propose a visualization method called “granular representation” for analyzing categorical data visually. Our approach visually represents data as a set of objects and allows intuitive analysis instead of the traditional way with tables of numbers. We developed a tool by integrating granular representation and bar charts. The effectiveness of the tool is demonstrated using real data about media consumption.

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تاریخ انتشار 2009