Join Martin John Hadley for an in-depth discussion in this video Next steps, part of R: Interactive Visualizations with htmlwidgets.
- [Martin] Thanks for watching.…I hope you have plenty of ideas…for interactive visualizations of your own data,…using the HTML widget libraries we've covered here.…If you're interested in the theory of data visualization,…I recommend you checkout learning data visualization.…If you want a deeper dive into how HTML widgets…are constructed, for instance,…if you want to build your own R package,…I fully recommend the documentation at htmlwidgets.org.…If you need additional interactivity to what HTML widgets…afford you, I encourage you to check out my other course,…on creating interactive presentations, with Shiny and R.…
Do feel free to connect with me online, cheers.…
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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