Error Bar Visualization

Error Bar Visualization is a type of probabilistic visualization that graphically represents the uncertainty or variability of data points in statistical estimates by depicting intervals or ranges around observed values through linear markers, distinguishing it from other uncertainty visualizations by its focus on parametric, interval-based summaries such as standard deviation, standard error, or confidence levels.

5

Publications

315

Citations

10

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

10

  1. DC
    Denis Cousineau

    University of Ottawa, Canada

    2 publications · 191 citations

    2

    h-index

  2. HZ
    Hui Zhang

    Chinese Academy of Sciences, China

    1 publications · 35 citations

    1

    h-index

  3. BH
    Bradley Harding

    Université Laval, Canada

    1 publications · 43 citations

    1

    h-index

  4. JL
    Jeffrey L. Howard

    Wayne State University, United States

    1 publications · 11 citations

    1

    h-index

  5. JD
    Jock D. Mackinlay

    Palo Alto Research Center, United States

    1 publications · 78 citations

    1

    h-index

1–5 of 10

Venues

  1. Journal of Pancreatology

    1 publications · 35 citations

    1

    h-index

  2. Advances in Methods and Practices in Psychological Science

    AMPPS · 1 publications · 43 citations

    1

    h-index

  3. The Quantitative Methods for Psychology

    1 publications · 148 citations

    1

    h-index

  4. Sedimentology

    1 publications · 11 citations

    1

    h-index

1–4