A tool for analyzing categorical data visually with granular representation

Kousuke Shiraishi, Kazuo Misue, Jiro Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information
Subtitle of host publicationInformation and Interaction - Symposium on Human Interface 2009, Held as Part of HCI International 2009, Proceedings
Pages342-351
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 2009 Dec 1
Externally publishedYes
EventHuman Interface and the Management of Information: Information and Interaction - Symposium on Human Interface 2009, Held as Part of HCI International 2009, Proceedings - San Diego, CA, United States
Duration: 2009 Jul 192009 Jul 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5618 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherHuman Interface and the Management of Information: Information and Interaction - Symposium on Human Interface 2009, Held as Part of HCI International 2009, Proceedings
CountryUnited States
CitySan Diego, CA
Period09/7/1909/7/24

Keywords

  • Categorical data
  • Multi-dimensional analysis
  • Visualization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Shiraishi, K., Misue, K., & Tanaka, J. (2009). A tool for analyzing categorical data visually with granular representation. In Human Interface and the Management of Information: Information and Interaction - Symposium on Human Interface 2009, Held as Part of HCI International 2009, Proceedings (PART 2 ed., pp. 342-351). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5618 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-02559-4_38