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

Authors

396

  1. MF
    Michael Friendly

    York University, Canada

    10 publications · 700 citations

    10

    h-index

  2. HH
    Helwig Hauser

    University of Bergen, Norway

    5 publications · 465 citations

    6

    h-index

  3. KH
    Kurt Hornik

    Vienna University of Economics and Business, Austria

    6 publications · 707 citations

    6

    h-index

  4. AZ
    Achim Zeileis

    Universität Innsbruck, Austria

    6 publications · 707 citations

    6

    h-index

  5. HH
    Heike Hofmann

    Iowa State University, United States

    4 publications · 180 citations

    4

    h-index

1–5 of 396

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 25 publications · 1.3K citations

    21

    h-index

  2. Journal of Statistical Software

    JSS · 7 publications · 2.5K citations

    7

    h-index

  3. Journal of Computational and Graphical Statistics

    JCGS · 5 publications · 193 citations

    5

    h-index

  4. The American Statistician

    5 publications · 142 citations

    5

    h-index

  5. Computer Graphics Forum

    4 publications · 344 citations

    4

    h-index

1–5