This document discusses dashboard development in R. It describes why R is useful for dashboards due to its ease of data acquisition and extensive libraries. It then demonstrates acquiring Apple Health step count data from an XML file, cleaning and transforming the data, and consuming it in an R module. Finally, it outlines several tools for creating dashboards in R, including Shiny, flexdashboard, and Plotly, and provides examples of dashboards using streaming data, bus schedules, and Apple Health data. It encourages further learning through online courses and recommends following the author online for more information.