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Beyond bar and line graphs: time for a new data presentation paradigm

PLoS biology, 2015-04, Vol.13 (4), p.e1002128-e1002128 [Peer Reviewed Journal]

2015 Weissgerber et al 2015 Weissgerber et al ;2015 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Weissgerber TL, Milic NM, Winham SJ, Garovic VD (2015) Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm. PLoS Biol 13(4): e1002128. doi:10.1371/journal.pbio.1002128 ;ISSN: 1545-7885 ;ISSN: 1544-9173 ;EISSN: 1545-7885 ;DOI: 10.1371/journal.pbio.1002128 ;PMID: 25901488

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  • Title:
    Beyond bar and line graphs: time for a new data presentation paradigm
  • Author: Weissgerber, Tracey L ; Milic, Natasa M ; Winham, Stacey J ; Garovic, Vesna D
  • Subjects: Data Interpretation, Statistical ; Graphs ; Publishing ; Standard deviation ; Studies ; Variance analysis ; Womens health
  • Is Part Of: PLoS biology, 2015-04, Vol.13 (4), p.e1002128-e1002128
  • Description: Figures in scientific publications are critically important because they often show the data supporting key findings. Our systematic review of research articles published in top physiology journals (n = 703) suggests that, as scientists, we urgently need to change our practices for presenting continuous data in small sample size studies. Papers rarely included scatterplots, box plots, and histograms that allow readers to critically evaluate continuous data. Most papers presented continuous data in bar and line graphs. This is problematic, as many different data distributions can lead to the same bar or line graph. The full data may suggest different conclusions from the summary statistics. We recommend training investigators in data presentation, encouraging a more complete presentation of data, and changing journal editorial policies. Investigators can quickly make univariate scatterplots for small sample size studies using our Excel templates.
  • Publisher: United States: Public Library of Science
  • Language: English
  • Identifier: ISSN: 1545-7885
    ISSN: 1544-9173
    EISSN: 1545-7885
    DOI: 10.1371/journal.pbio.1002128
    PMID: 25901488
  • Source: GFMER Free Medical Journals
    MEDLINE
    PubMed Central
    Public Library of Science (PLoS)
    ProQuest Central
    DOAJ Directory of Open Access Journals
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