Box Plot Analysis

Box Plot Analysis is a statistical method that visually summarizes the distribution of a dataset through its quartiles, highlighting central tendency, dispersion, and outliers by displaying the minimum, first quartile, median, third quartile, and maximum values in a standardized box-and-whisker format.

139

Publications

15.1K

Citations

466

Authors

242

Institutions

Publications per year

2017–2026

51

Authors

466

  1. JW
    John W. Tukey

    Princeton University, United States

    4 publications · 3.7K citations

    4

    h-index

  2. CT
    Chandrasegar Thirumalai

    Vellore Institute of Technology University, India

    3 publications · 111 citations

    3

    h-index

  3. BI
    Boris Iglewicz

    Temple University, United States

    2 publications · 166 citations

    2

    h-index

  4. PO
    Patrick Onghena

    KU Leuven, Belgium

    2 publications · 94 citations

    2

    h-index

  5. LV
    Lieven Verschaffel

    KU Leuven, Belgium

    2 publications · 94 citations

    2

    h-index

1–5 of 466

Venues

  1. The American Statistician

    12 publications · 5.8K citations

    12

    h-index

  2. 3

    h-index

  3. Journal of Applied Statistics

    3 publications · 54 citations

    3

    h-index

  4. Journal of Educational Statistics

    3 publications · 2.2K citations

    3

    h-index

  5. Applied Sciences

    2 publications · 67 citations

    2

    h-index

1–5