Accessible Statistical Graphics

Accessible Statistical Graphics is a scholarly contribution in visualization that constitutes a method, framework, or system designed to ensure that statistical graphical representations are perceivable, interpretable, and usable by individuals with diverse abilities, including those with visual, cognitive, or physical impairments, through the integration of accessibility principles such as alternative modalities, semantic structure, and assistive technology compatibility.

4

Publications

123

Citations

12

Authors

6

Institutions

Publications per year

2017–2026

1

Authors

12

  1. AC
    Antoine Chretien

    Radius Health (United States), United States

    1 publications · 74 citations

    1

    h-index

  2. LF
    Leo Ferres

    Universidad del Desarrollo, Chile

    1 publications · 74 citations

    1

    h-index

  3. PV
    Petro Verkhogliad

    Statistics Canada, Canada

    1 publications · 74 citations

    1

    h-index

  4. LB
    Louis Boucher

    Statistics Canada, Canada

    1 publications · 74 citations

    1

    h-index

  5. ML
    Martin Lachance

    Carleton University, Canada

    1 publications · 74 citations

    1

    h-index

1–5 of 12

Venues

  1. Journal of Statistical Software

    JSS · 1 publications · 23 citations

    1

    h-index

1–1