How to Visualize Hierarchical Graphs in R, with ggraph and tidygraph
Network graphs are a good way to find structure and relationships within hierarchical data. Here are several ways to do it.
Working with network graph data requires different reasoning and tools than working with tabular data. In tabular data, each each row in the table represents a feature, while in graph data two types of features exist: the nodes of the network, and the edges, which describe the relationships between the nodes.
To access this full tutorial and download the source code you must be a member. (If you are already a member, log in here.)
Get instant access to this tutorial and over a hundred more, plus courses, guides, and additional resources.
You'll get unlimited access to hundreds of hours worth of step-by-step visualization courses and tutorials for insight and presentation — all while supporting an independent site. Source code and data is included so that you can more easily apply what you learn in your own work.
The tutorials are very helpful to move from "Oooo, cool!" to how to actually DO the cool.
Members also recieve a weekly newsletter, The Process. Keep up-to-date on visualization tools, the rules, and the guidelines and how they all work together in practice.
See samples of everything you gain access to:
More Tutorials See All →
How to Make Bubble Charts
Ever since Hans Rosling presented a motion chart to tell his story of the wealth and health of nations, there has been an affinity for proportional bubbles on an x-y axis. This tutorial is for the static version of the motion chart: the bubble chart.
Small Multiples in R
Make a lot of charts at once, line them up in a grid, and you can make quick comparisons across several categories.
How to Make an Interactive Map of Geographic Paths
With latitude and longitude coordinates, there are a number of ways to map geographic data using D3.js and Leaflet.