Abstract
Although bar graphs are designed for categorical data, they are routinely used to present continuous data in studies that have small sample sizes. This presentation is problematic, as many data distributions can lead to the same bar graph, and the actual data may suggest different conclusions from the summary statistics. To address this problem, many journals have implemented new policies that require authors to show the data distribution. This paper introduces a free, web-based tool for creating an interactive alternative to the bar graph (http://statistika.mfub.bg.ac.rs/interactive-dotplot/). This tool allows authors with no programming expertise to create customized interactive graphics, including univariate scatterplots, box plots, and violin plots, for comparing values of a continuous variable across different study groups. Individual data points may be overlaid on the graphs. Additional features facilitate visualization of subgroups or clusters of non-independent data. A second tool enables authors to create interactive graphics from data obtained with repeated independent experiments (http://statistika.mfub.bg.ac.rs/interactive-repeated-experimentsdotplot/).These tools are designedtoencourage exploration and critical evaluation ofthe data behind the summary statistics and may be valuable for promoting transparency, reproducibility, and open science in basic biomedical research.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 20592-20598 |
| Number of pages | 7 |
| Journal | Journal of Biological Chemistry |
| Volume | 292 |
| Issue number | 50 |
| DOIs | |
| State | Published - Jan 1 2017 |
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ASJC Scopus subject areas
- Biochemistry
- Molecular Biology
- Cell Biology
Cite this
Data visualization, bar naked : A free tool for creating interactive graphics. / Weissgerber, Tracey L.; Savic, Marko; Winham, Stacey J; Stanisavljevic, Dejana; Garovic, Vesna D; Milic, Natasa M.
In: Journal of Biological Chemistry, Vol. 292, No. 50, 01.01.2017, p. 20592-20598.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Data visualization, bar naked
T2 - A free tool for creating interactive graphics
AU - Weissgerber, Tracey L.
AU - Savic, Marko
AU - Winham, Stacey J
AU - Stanisavljevic, Dejana
AU - Garovic, Vesna D
AU - Milic, Natasa M.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Although bar graphs are designed for categorical data, they are routinely used to present continuous data in studies that have small sample sizes. This presentation is problematic, as many data distributions can lead to the same bar graph, and the actual data may suggest different conclusions from the summary statistics. To address this problem, many journals have implemented new policies that require authors to show the data distribution. This paper introduces a free, web-based tool for creating an interactive alternative to the bar graph (http://statistika.mfub.bg.ac.rs/interactive-dotplot/). This tool allows authors with no programming expertise to create customized interactive graphics, including univariate scatterplots, box plots, and violin plots, for comparing values of a continuous variable across different study groups. Individual data points may be overlaid on the graphs. Additional features facilitate visualization of subgroups or clusters of non-independent data. A second tool enables authors to create interactive graphics from data obtained with repeated independent experiments (http://statistika.mfub.bg.ac.rs/interactive-repeated-experimentsdotplot/).These tools are designedtoencourage exploration and critical evaluation ofthe data behind the summary statistics and may be valuable for promoting transparency, reproducibility, and open science in basic biomedical research.
AB - Although bar graphs are designed for categorical data, they are routinely used to present continuous data in studies that have small sample sizes. This presentation is problematic, as many data distributions can lead to the same bar graph, and the actual data may suggest different conclusions from the summary statistics. To address this problem, many journals have implemented new policies that require authors to show the data distribution. This paper introduces a free, web-based tool for creating an interactive alternative to the bar graph (http://statistika.mfub.bg.ac.rs/interactive-dotplot/). This tool allows authors with no programming expertise to create customized interactive graphics, including univariate scatterplots, box plots, and violin plots, for comparing values of a continuous variable across different study groups. Individual data points may be overlaid on the graphs. Additional features facilitate visualization of subgroups or clusters of non-independent data. A second tool enables authors to create interactive graphics from data obtained with repeated independent experiments (http://statistika.mfub.bg.ac.rs/interactive-repeated-experimentsdotplot/).These tools are designedtoencourage exploration and critical evaluation ofthe data behind the summary statistics and may be valuable for promoting transparency, reproducibility, and open science in basic biomedical research.
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U2 - 10.1074/jbc.RA117.000147
DO - 10.1074/jbc.RA117.000147
M3 - Article
C2 - 28974579
AN - SCOPUS:85038360148
VL - 292
SP - 20592
EP - 20598
JO - Journal of Biological Chemistry
JF - Journal of Biological Chemistry
SN - 0021-9258
IS - 50
ER -