Correlation Coefficient Visualization

Correlation Coefficient Visualization is a visual representation method that encodes the strength and direction of pairwise variable relationships as derived from correlation coefficients, distinguished by its focus on geometrically or chromatically mapping statistical correlation values onto graphical elements for interpretative analysis.

23

Publications

993

Citations

41

Authors

20

Institutions

Publications per year

2017–2026

6

Authors

41

  1. AK
    Alboukadel Kassambara

    Université de Montpellier, France

    2 publications · 49 citations

    2

    h-index

  2. MF
    Michael Friendly

    York University, Canada

    2 publications · 85 citations

    2

    h-index

  3. MW
    Michael W. Trosset

    William & Mary, United States

    1 publications · 21 citations

    1

    h-index

  4. DM
    D. Murdoch

    St. Paul's Hospital, Canada

    1 publications · 160 citations

    1

    h-index

  5. ED
    E. D. Chow

    1 publications · 37 citations

    1

    h-index

1–5 of 41

Venues

  1. The American Statistician

    3 publications · 245 citations

    3

    h-index

  2. Journal of Computational and Graphical Statistics

    JCGS · 2 publications · 34 citations

    2

    h-index

  3. Journal of Visual Languages & Computing

    JVLC · 1 publications · 22 citations

    1

    h-index

  4. Granular Computing

    1 publications · 25 citations

    1

    h-index

  5. Experimental Techniques

    1 publications · 103 citations

    1

    h-index

1–5