Correspondence Analysis Plots

Correspondence Analysis Plots is a multivariate statistical visualization technique that graphically represents the associations between categorical variables in a contingency table by projecting row and column categories onto a low-dimensional space derived from singular value decomposition of standardized residuals.

137

Publications

9.9K

Citations

332

Authors

183

Institutions

Publications per year

2017–2026

14

Variants

Ca Plots

Authors

332

  1. MG
    Michael Greenacre

    Universitat Pompeu Fabra, Spain

    7 publications · 1.5K citations

    7

    h-index

  2. PV
    P.G.M. van der Heijden

    Utrecht University, Netherlands

    6 publications · 263 citations

    6

    h-index

  3. GA
    Gianmarco Alberti

    University of Malta, Malta

    3 publications · 57 citations

    3

    h-index

  4. EJ
    Eric J. Beh

    University of Newcastle Australia, Australia

    3 publications · 95 citations

    3

    h-index

  5. RL
    Rosaria Lombardo

    University of Campania "Luigi Vanvitelli", Italy

    3 publications · 52 citations

    3

    h-index

1–5 of 332

Venues

  1. Psychometrika

    5 publications · 165 citations

    5

    h-index

  2. Food Quality and Preference

    4 publications · 389 citations

    4

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 4 publications · 246 citations

    4

    h-index

  4. Journal of Statistical Planning and Inference

    3 publications · 73 citations

    3

    h-index

  5. Journal of Marketing Research

    3 publications · 325 citations

    3

    h-index

1–5