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TL;DR
This paper describes the development of an interactive dashboard using R and Shiny to visualize oral health data from Irish child cohort surveys, allowing dynamic exploration without complex coding.
BMC Oral Health · 5 authors, 1 centre
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This paper describes the development of an interactive dashboard using R and Shiny to visualize oral health data from Irish child cohort surveys, allowing dynamic exploration without complex coding.
The authors detail the methodology for building an interactive data visualization dashboard using R's flexdashboard and Shiny packages. Data were sourced from the national longitudinal study of children in Ireland and the national children’s food survey. The dashboard's structure is defined by YAML metadata, with filters for survey type, wave, and variable selection. Shiny functions enable reactive rendering of plots and tables from aggregated data. The paper presents the dashboard as a tool for exploratory analysis, descriptive statistics, and hypothesis generation, highlighting benefits like computational reproducibility, accessibility across devices, and ease of dissemination. The discussion notes limitations including the current reliance on stored files rather than an SQL database and the steep learning curve for advanced data skills. The authors conclude that dashboard development requires minimal specialized R coding and provides a practical method for communicating oral health research findings.