Visual summary statistics

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Publication Type technical report
School or College College of Engineering
Department Computing, School of
Program Advanced Research Projects Agency
Creator Kniss, Joe; Riesenfeld, Richard F.
Other Author Potter, Kristin
Title Visual summary statistics
Date 2007
Description Traditionally, statistical summaries of categorical data often have been visualized using graphical plots of central moments (e.g., mean and standard deviation), or cumulants (e.g., median and quartiles) by box plots. In this work we reexamine the box plot and its relatives and develop a new hybrid summary plot that combines moment, cumulant, and density information. In view of the important role of plots in decision making, our work focuses on incorporating additional descriptive parameters while simultaneously improving the comprehensibility of the summary plots using advanced visual techniques. In many complex situations providing a comprehensive view of the data requires additional summary characteristics, therefore, we submit that these additional parameters, like higher-order central moments can be valuable elements of multi-dimensional summary displays.
Type Text
Publisher University of Utah
Subject Visual summary statistics; categorical data; box plot; hybrid summary plot
Language eng
Bibliographic Citation Potter, K., Kniss, J., & Riesenfeld, R. F. (2007). Visual summary statistics. UUCS-07-004.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 33,499,330 bytes
Source University of Utah School of Computing
ARK ark:/87278/s6rb7p2m
Setname ir_uspace
ID 705716
Reference URL https://collections.lib.utah.edu/ark:/87278/s6rb7p2m
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