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Advancing Nursing Research Through Interactive Data Visualization With R Shiny.

Lacey W Heinsberg1, Theresa A Koleck2, Mitali Ray3

  • 1Department of Human Genetics, School of Public Health, 6614University of Pittsburgh, Pittsburgh, PA, USA.

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|August 27, 2022
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Summary
This summary is machine-generated.

Dynamic data visualization in nursing research enhances understanding of health trends. Using R and R Shiny, interactive figures can be created, benefiting nurse scientists and improving health insights.

Keywords:
data sciencegenomicsinformation visualizationnurse scientistsomicsvisual analytics

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Area of Science:

  • Nursing Research
  • Biomedical Informatics
  • Data Science

Background:

  • Traditional scientific data visualizations in nursing and biomedical fields are predominantly static.
  • The rise of electronic scientific journal articles presents opportunities for advanced visualization techniques.
  • Static visualizations limit the cognitive benefits and depth of data comprehension.

Purpose of the Study:

  • To highlight the advantages of R, an open-source programming language, for scientific data visualization.
  • To focus on creating dynamic and interactive data visualizations using the R Shiny package.
  • To provide resources for both R users and non-programmers to engage with interactive data visualization.

Main Methods:

  • Demonstration of R programming for scientific data visualization.
  • Tutorial with example code for creating three R Shiny applications of increasing complexity.
  • Provision of links to online, interactive R Shiny examples for non-programmers.

Main Results:

  • R offers significant benefits for creating dynamic and interactive scientific data visualizations.
  • R Shiny package enables the development of sophisticated, interactive figures.
  • Accessible online examples allow interaction with research data without programming knowledge.

Conclusions:

  • Dynamic and interactive data visualization tools, particularly R Shiny, can significantly enhance data pattern and trend comprehension in nursing research.
  • Widespread adoption of these tools will support nurse scientists in advancing the understanding of individual and community health and wellness.
  • Interactive visualizations offer added cognitive benefits over static representations.