Distribution Glyphs

Distribution Glyphs is a visual encoding framework that compactly represents the statistical properties of data distributions through geometric primitives, distinguished by its ability to embed multiple distributional characteristics—such as central tendency, spread, skewness, and outliers—into a single, scalable graphical symbol.

1

Publications

14

Citations

2

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

2

  1. PR
    Penny Rheingans

    University of Maryland, Baltimore County, United States

    1 publications · 14 citations

    1

    h-index

  2. EB
    Eleanor Boyle ChLan

    Johns Hopkins University, United States

    1 publications · 14 citations

    1

    h-index

1–2 of 2

Institutions

2

  1. University of Maryland, Baltimore County

    Baltimore, United States

    1 h-index

    1 publications

    14 citations

  2. Johns Hopkins University

    Baltimore, United States

    1 h-index

    1 publications

    14 citations

1–2 of 2