First requirement is to have a fair understanding of R.If you just want to see the demo first » CLICK HERE « Writing up my experiences as a way of introduction, in the hope it might help others to learn Shiny Server.” You include htmlwidgets in an R Markdown document just like you include R plots.“Having studied Data Science since April 2014, felt it a good time to get to know Rstudio’s Shiny Server! So sourced ’s Disaster Events and built an interactive dashboard. You can find example uses of several of the more popular htmlwidgets in the htmlwidgets showcase and browse all available widgets in the gallery.

There are over 30 packages on CRAN which provide htmlwidgets. VisNetwork, an interface to the network visualization capabilities of the vis.js library. Highcharter, a rich R interface to the popular Highcharts JavaScript graphics library. Rbokeh, an interface to Bokeh, a powerful declarative Bokeh framework for creating web-based plots. Plotly, which via its ggplotly interface allows you to easily translate your ggplot2 graphics to an interactive web-based version. Leaflet, a library for creating dynamic maps that support panning and zooming, with various annotations like markers, polygons, and popups.ĭygraphs, which provides rich facilities for charting time-series data and includes support for many interactive features including series/point highlighting, zooming, and panning. Charts based on htmlwidgets are ideal for use with flexdashboard because they can dynamically re-size themselves, so will nearly always fit perfectly within the bounds of their flexdashboard containers. The htmlwidgets framework provides high-level R bindings for JavaScript data visualization libraries.

In fact, the tabset examples above use header attributes in two places: Column is a valid set of header attributes that you might use in flexdashboard. Flexdashboard relies heavily on pandoc’s header attribute syntax and you’ll see the syntax referenced throughout our documentation.

Rstudio shiny dashboard