Join Martin John Hadley for an in-depth discussion in this video Exercise files, part of R: Interactive Visualizations with htmlwidgets.
- [Instructor] If you have access to the exercise files for this course, you can download them to your desktop, as I've done here. Inside each folder, you'll find a file with the extension .Rproj. This is an R project file, and double-clicking it will open RStudio, ready to follow along with the exercise. When following along with me, I'll expect you to have already opened the .Rproj file and be ready to go. Note that I often include both a data and a data-raw folder, which contains my data processing steps.
If you're viewing this course on a mobile device, a set-top device, or your membership doesn't provide access to the exercise files, that's okay. You can still follow along by watching how I use the files.
AuthorMartin John Hadley
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.
- 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
Skill Level Intermediate
Data Visualization Tips and Trickswith Matt Francis2h 14m Intermediate
DC.js for Data Science Essential Trainingwith Emma Saunders5h 3m Intermediate
1. Getting Started with htmlwidgets
2. Creating Interactive Maps with Leaflet
3. Creating Interactive Charts with Plotly
4. Creating Interactive Charts with Highcharter
5. Creating Interactive Networks with visNetwork
6. Creating Interactive Tables
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