Statistical Chart Design

Statistical Chart Design is a methodological framework within data visualization that systematically integrates statistical principles with graphical representation techniques to optimize the accuracy, interpretability, and analytical validity of charts depicting quantitative data.

167

Publications

10K

Citations

341

Authors

187

Institutions

Publications per year

2017–2026

25

Authors

341

  1. MB
    Michael B. C. Khoo

    Universiti Sains Malaysia, Malaysia

    8 publications · 166 citations

    8

    h-index

  2. EM
    Erwin M. Saniga

    University of Delaware, United States

    5 publications · 626 citations

    5

    h-index

  3. WC
    Wai Chung Yeong

    Universiti Sains Malaysia, Malaysia

    4 publications · 88 citations

    4

    h-index

  4. WH
    William H. Woodall

    Virginia Tech, United States

    3 publications · 230 citations

    3

    h-index

  5. CC
    Chung‐Ho Chen

    Southern Taiwan University of Science and Technology, Taiwan

    3 publications · 77 citations

    3

    h-index

1–5 of 341

Venues

  1. Journal of Quality Technology

    16 publications · 799 citations

    14

    h-index

  2. Technometrics

    13 publications · 1.3K citations

    13

    h-index

  3. Quality Engineering

    8 publications · 334 citations

    8

    h-index

  4. 7

    h-index

  5. The American Statistician

    5 publications · 375 citations

    5

    h-index

1–5