Interpreting Histograms

Interpreting Histograms is a methodological construct in data interpretation that involves the systematic analysis of histogram distributions to infer underlying data patterns, such as central tendency, dispersion, skewness, and modality, by examining the frequency and relative position of data intervals.

33

Publications

1.2K

Citations

79

Authors

44

Institutions

Publications per year

2017–2026

3

Authors

79

  1. PK
    Philippe Kobel

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 132 citations

    3

    h-index

  2. JM
    J. M. Borrero

    Max Planck Institute for Solar System Research, Germany

    3 publications · 132 citations

    3

    h-index

  3. BC
    B. Curran

    Royal College of Surgeons in Ireland, Ireland

    2 publications · 46 citations

    2

    h-index

  4. ML
    M. Leader

    Beaumont Hospital, Ireland

    2 publications · 46 citations

    2

    h-index

  5. JM
    José Miguel Hidalgo Herrador

    ORLEN UniCRE, Czechia

    1 publications · 12 citations

    1

    h-index

1–5 of 79

Venues

  1. Astronomy and Astrophysics

    3 publications · 132 citations

    3

    h-index

  2. Journal of Statistics Education

    JSE · 3 publications · 139 citations

    3

    h-index

  3. Cytometry

    2 publications · 39 citations

    2

    h-index

  4. Journal of Climate

    1 publications · 66 citations

    1

    h-index

  5. Fuel

    1 publications · 12 citations

    1

    h-index

1–5