How can R programming be used for interactive data visualization and exploration in research? What are some recommended R packages and techniques for creating interactive plots and dashboards?
R programming is highly versatile when it comes to interactive data visualization and exploration in research. It offers numerous packages and techniques that enable researchers to create dynamic plots, and interactive dashboards, and explore data interactively. Here are some recommended R packages and techniques for these purposes:
ggplot2: ggplot2 is a widely used R package for static data visualization. It provides an intuitive grammar of graphics and allows for the creation of highly customizable and publication-quality plots. Although ggplot2 is primarily designed for static visualizations, it can be combined with other packages to make plots interactive.
plotly: Plotly is an excellent R package for creating interactive visualizations. It supports a wide range of plot types, including scatter plots, bar charts, line plots, 3D plots, and more. The package generates interactive plots that can be embedded in web applications or viewed in a web browser. It also supports interactivity features such as zooming, panning, and tooltips.