A spreadsheet interface for visualization exploration

T. J. Jankun-Kelly, Kwan-Liu Ma

Research output: Contribution to conferencePaper

26 Scopus citations

Abstract

As the size and complexity of data sets continues to increase, the development of user interfaces and interaction techniques that expedite the process of exploring that data must receive new attention. Regardless of the speed of rendering, it is important to coherently organize the visual process of exploration: this information both grants insights about the data to a user and can be used by collaborators to understand the results. To fulfill these needs, we present a spreadsheet-like interface to data exploration. The interface displays a 2-dimensional window into visualization parameter space which users manipulate as they search for desired results. Through tabular organization and a clear correspondence between parameters and results, the interface eases the discovery, comparison and analysis of the underlying data. Users can utilize operators and the integrated interpreter to further explore and automate the visualization process; using a method introduced in this paper, these operations can be applied to "cells" in different "stacks" of the interface. Via illustrations using a variety of data sets, we demonstrate the efficacy of this novel interface.

Original languageEnglish (US)
Pages69-76
Number of pages8
StatePublished - Dec 1 2000
Event2000 IEEE Visualization Conference - Salt Lake City, UT, United States
Duration: Oct 8 2000Oct 13 2000

Other

Other2000 IEEE Visualization Conference
CountryUnited States
CitySalt Lake City, UT
Period10/8/0010/13/00

Keywords

  • Knowledge representation
  • Scientific visualization
  • Spreadsheets
  • User interfaces
  • Visualization systems
  • Volume rendering

ASJC Scopus subject areas

  • Software
  • Computer Science(all)
  • Engineering(all)
  • Computer Graphics and Computer-Aided Design

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  • Cite this

    Jankun-Kelly, T. J., & Ma, K-L. (2000). A spreadsheet interface for visualization exploration. 69-76. Paper presented at 2000 IEEE Visualization Conference, Salt Lake City, UT, United States.