Categorical Data Visualization
Categorical Data Visualization is a methodological framework within statistical graphics that specifically employs visual representations to display the distribution, frequency, or relationships among categories in discrete data, distinguished by its focus on non-numeric, qualitatively distinct class labels rather than continuous variables.
171
Publications
13.1K
Citations
396
Authors
199
Institutions
Publications per year
2017–2026
34
Variants
Longitudinal Categorical Data
Parents
171
ggalluvial: Layered Grammar for Alluvial Plots
Jason Cory Brunson · The Journal of Open Source Software · 2020 · 505 citations · Full text
Michel Tenenhaus, Forrest W. Young · Psychometrika · 1985 · 414 citations
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199

York University
Toronto, Canada
7 h-index
7 publications
649 citations
VRVis GmbH (Austria)
Vienna, Austria
5 h-index
11 publications
987 citations
University of Maryland, College Park
College Park, United States
4 h-index
14 publications
1.4K citations
National Yunlin University of Science and Technology
Douliu, Taiwan
4 h-index
11 publications
245 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
3 publications
455 citations

University of North Carolina at Charlotte
Charlotte, United States
4 h-index
7 publications
378 citations
The University of Texas at Austin
Austin, United States
3 h-index
11 publications
2.1K citations

University of Minnesota
Minneapolis, United States
3 h-index
5 publications
99 citations
1–8 of 199
TVCG · 25 publications · 1.3K citations
21
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JSS · 7 publications · 2.5K citations
7
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JCGS · 5 publications · 193 citations
5
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5 publications · 142 citations
5
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4 publications · 344 citations
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