R: Interactive Visualization with htmlwidgets

R: Interactive Visualizations with htmlwidgets

A LinkedIn Learning Course with Martin Hadley

Welcome from R: Interactive Visualizations with htmlwidgets by Martin Hadley

Using the R language almost exclusively, htmlwidgets allow you to create the same interactive maps, charts, and graphs you see on popular data journalism sites and in BI dashboards. You can connect R to popular JavaScript libraries—such as Plotly and Leaflet—with htmlwidget packages. The interactive visualizations you create can be used in R Markdown reports and presentations, and even integrated into rich, responsive Shiny applications. This course introduces you to the fundamental skills needed to add htmlwidgets to your R workflow. Start by learning to manage packages and structure data for visualizations with the tidyverse and the pipe operator. Then there is an important question: Which library should you choose? The course introduces five popular options: Leaflet, Plotly, Highcharter, visNetwork, and DataTables (DT). Instructor Martin Hadley shows how to use these libraries to create scattergeo, choropleth, and geolines maps; stacked bar charts, scatter charts, bubble charts, and heat maps; treemaps and time series charts; interactive networks and graphs; and responsive, interactive data tables. Plus, learn how to customize your visualizations with legends and tooltips, and extract click information for Shiny apps.

Topics Covered

  • Installing htmlwidgets
  • Selecting the best htmlwidget
  • Creating interactive maps with Leaflet
  • Creating interactive charts with Plotly and Highcharter
  • Creating interactive networks with visNetwork
  • Creating interactive tables with DT

View this course on LinkedIn Learning.

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