From Static to Interactive: Transforming Data Visualization to Improve Transparency

被引:47
|
作者
Weissgerber, Tracey L. [1 ]
Garovic, Vesna D. [1 ]
Savic, Marko [2 ]
Winham, Stacey J. [3 ]
Milic, Natasa M. [1 ,2 ]
机构
[1] Mayo Clin, Div Nephrol & Hypertens, Rochester, MN 55905 USA
[2] Univ Belgrade, Fac Med, Dept Med Stat & Informat, Belgrade, Serbia
[3] Mayo Clin, Div Biomed Stat & Informat, Rochester, MN USA
来源
PLOS BIOLOGY | 2016年 / 14卷 / 06期
关键词
KEY;
D O I
10.1371/journal.pbio.1002484
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Data presentation for scientific publications in small sample size studies has not changed substantially in decades. It relies on static figures and tables that may not provide sufficient information for critical evaluation, particularly of the results from small sample size studies. Interactive graphics have the potential to transform scientific publications from static reports of experiments into interactive datasets. We designed an interactive line graph that demonstrates how dynamic alternatives to static graphics for small sample size studies allow for additional exploration of empirical datasets. This simple, free, web-based tool (http:// statistika.mfub.bg.ac.rs/interactive-graph/) demonstrates the overall concept and may promote widespread use of interactive graphics.
引用
收藏
页数:8
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