Statistical Visualization Design

Statistical Visualization Design is a methodological framework within data visualization that systematically organizes graphical elements and encoding techniques to represent statistical data with precision, clarity, and interpretability, distinguishing itself through its focus on rigorous data transformation, perceptual accuracy, and analytical validity in visual form.

27

Publications

2.5K

Citations

68

Authors

42

Institutions

Publications per year

2017–2026

6

Authors

68

  1. WS
    William S. Cleveland

    Purdue University West Lafayette, United States

    2 publications · 98 citations

    2

    h-index

  2. YL
    Yarden Livnat

    University of Utah, United States

    1 publications · 231 citations

    1

    h-index

  3. GM
    Geoffrey M. Draper

    University of Utah, United States

    1 publications · 231 citations

    1

    h-index

  4. KT
    Kohske Takahashi

    The University of Tokyo, Japan

    1 publications · 261 citations

    1

    h-index

  5. JH
    Joanne Helouvry

    University of Scranton, United States

    1 publications · 30 citations

    1

    h-index

1–5 of 68

Venues

  1. Journal of Computational and Graphical Statistics

    JCGS · 3 publications · 113 citations

    3

    h-index

  2. Health Affairs

    1 publications · 181 citations

    1

    h-index

  3. Annals of Emergency Medicine

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. Psychological Methods

    1 publications · 53 citations

    1

    h-index

1–5