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Data visualization sliders

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Published:02 November 1994Publication History

ABSTRACT

Computer sliders are a generic user input mechanism for specifying a numeric value from a range. For data visualization, the effectiveness of sliders may be increased by using the space inside the slider as

• an interactive color scale,

• a barplot for discrete data, and

• a density plot for continuous data.

The idea is to show the selected values in relation to the data and its distribution. Furthermore, the selection mechanism may be generalized using a painting metaphor to specify arbitrary, disconnected intervals while maintaining an intuitive user-interface.

References

  1. 1.Christopher Ahlberg and Ben Shneiderman. The alphaslider: A compact and rapid selector. CHI '94 Conference Proceedings, pages 365-371, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.Christopher Ahlberg and Ben Shneiderman. Visual information seeking: Tight coupling of dynamic query filters with starfield displays. CHI '94 Conference Proceedings, pages 313-317, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  6. 6.James D. Foley, Andries van Dam, Steven K. Feiner, and John f. Hughes. Computer Graphics Principles And Practice. Addison-Wesley, Reading, Massachusetts, 1990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. 7.U.S. Bureau of the Census. Statistical Abstract of the United States: 1992 (112th edition). U.S. Government Printing Office, Washington, DC, 1992.Google ScholarGoogle Scholar
  8. 8.B.W. Silverman, editor. Density Estimation for Statistics and Data Analysis. Chapman & Hall, 1986.Google ScholarGoogle Scholar
  9. 9.Edward R. Tufte. The Visual Display of Quantitative Information. Graphics Press, Cheshire, Connecticut, 1983. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Data visualization sliders

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      • Published in

        cover image ACM Conferences
        UIST '94: Proceedings of the 7th annual ACM symposium on User interface software and technology
        November 1994
        226 pages
        ISBN:0897916573
        DOI:10.1145/192426

        Copyright © 1994 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 2 November 1994

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