Overview
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Learn how to rapidly create rich, interactive data visualizations with R and htmlwidgets—packages that connect R to popular JavaScript libraries like Plotly, Leaflet, and DT.
Syllabus
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Introduction
- Welcome
- What you should know
- Exercise files
- What are htmlwidgets?
- Where can you use htmlwidgets?
- Set up RStudio for htmlwidgets
- Install htmlwidget libraries
- Select the best htmlwidget
- Use the pipe operator (%>%)
- Prepare data to be tidy
- What is the Leaflet library?
- Create interactive scattergeo maps
- Change map styles in Leaflet
- Prepare data for a choropleth plot
- Create interactive choropleth maps
- Create interactive geolines maps
- Add legends to Leaflet maps
- Extract click information from Leaflet
- What is the Plotly library?
- Make ggplot2 interactive using Plotly
- Create interactive stacked bar charts
- Interactive scatter, line, and bubble charts with Leaflet
- Create interactive maps
- Specify custom colors
- Customize tooltips
- Combine multiple charts
- Extract click information from Plotly
- What is the Highcharter library?
- Create interactive stacked bar charts
- Create interactive scatter charts and bubble charts
- Create interactive time series
- Create interactive treemaps
- Create interactive choropleth maps
- Specify your own colors
- Modify tooltips in Highcharter
- Extract click information from Highcharter
- What is the visNetwork library?
- Create basic network diagrams
- Style visNetwork graph
- Use visNetwork with igraph
- Choose graph layouts and embeddings
- Cluster nodes in visNetwork using groups
- Add legends to visNetwork
- Extract click information from visNetwork
- What is the DT library?
- Create interactive data tables with DT
- Format columns and data
- Design responsive (mobile-ready) tables
- Allow users to download data
- Extract click information from data tables
- Next steps
