visNetwork requires two data frames: one for nodes and one for edges.Column labels are prescribed by the library and must be used. If using visIgraph, node indices must scale from 0 - (N-1).
- [Instructor] Let's cover the very basics…of creating interactive networks with visNetwork.…In our exercise files, we a file called…basic-visNetwork.R.…Let's open that up and see what we have here.…At the top of the script file,…we load the tidyverse library,…which I'll do with Command + Enter.…This loads the standard libraries…from the tidyverse ecosystem.…Then in line two, also load the visNetwork library,…because that's what we're going to be using for our…interactive network visualization.…Now, a visNetwork requires two data frames.…
A data frame specifying the nodes,…and another one specifying the edges…of the network being displayed.…On line four, we import the data for our nodes.…And on line five, we import our data for the edges.…So let's run these two lines,…and let's have a look at what our data frames look like.…Let's click on the View button here in the environment,…and we can see what we have is a send location,…a receive location,…and some information about the transportation…between these two locations.…
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
Creating Interactive Presentations with Shiny and Rwith Martin Hadley1h 53m 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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