Parallel Coordinate Plots of Mixed-Type DataParallel Coordinate Plots of Mixed-Type Data
- Other Titles
- Parallel Coordinate Plots of Mixed-Type Data
- Authors
- 곽엽일; 허명회
- Issue Date
- 2008
- Publisher
- 한국통계학회
- Keywords
- Statistical graphics; parallel coordinate plot; Andrews' plot; mixed-type
data; endlink algorithm; Hayashi' s quantification methods.
- Citation
- Communications for Statistical Applications and Methods, v.15, no.4, pp.587 - 595
- Indexed
- KCI
- Journal Title
- Communications for Statistical Applications and Methods
- Volume
- 15
- Number
- 4
- Start Page
- 587
- End Page
- 595
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/124956
- ISSN
- 2287-7843
- Abstract
- Parallel coordinate plot of Inselberg (1985) is useful for visualizing dozens of
variables, but so far the plot's applicability is limited to the variables of numerical
type. The aim of this study is to extend the parallel coordinate plot so that it
can accommodate both numerical and categorical variables. We combine Hayashi's
(1950, 1952) quantification method of categorical variables and Hurley's (2004)
endlink algorithm of ordering variables for the parallel coordinate plot. In line with
our former study (Kwak and Huh, 2008), we develop Andrews' type modification
of conventional straight-lines parallel coordinate plot to visualize the mixed-type
data.
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