Advancing Nursing Research Through Interactive Data Visualization With R Shiny.

ABSTRACT: Scientific data visualization is a critical aspect of fully understanding data patterns and trends. To date, the majority of data visualizations in nursing research - as with other biomedical fields - have been static. The availability of electronic scientific journal articles (which are quickly becoming the norm) has created new opportunities for dynamic and interactive data visualization which carry added cognitive benefits and support the ability to understand data more fully. Therefore, here we highlight the benefits of R, an open-source programming language, for scientific data visualization, with a specific focus on creating dynamic, interactive figures using the R shiny package. For R users, we have included a tutorial with example code to create three increasingly com

SUBMITTER: Heinsberg LW 

PROVIDER: S-EPMC9900251 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature