How to Make a Semicircle Plot in R
It’s the half cousin of the bubble plot with less overlap and more straight edges.
The semicircle plot isn’t used all that often, but in select cases it can be more useful than its full-circled cousin the bubble plot. Since a half circle represents each data point instead of a full one, there’s simply less overlap when you have more data to show.
The most recent example (and maybe the only one that I can think of off the top) from Kevin Quealy at The New York Times showed the cost of natural disasters form 1980 to 2017.
“The Cost of Hurricane Harvey” by Kevin Quealy
I like how the straight edge of each semicircle serves as an anchor for time. If a semicircle is on the same line as another, the two occurred during the same year. If full circles were used, there’d be a lot more overlap and the line of time wouldn’t look as obvious.
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 an Animated Beeswarm Chart
Beeswarm charts are useful to highlight individual categories or entities. Animating them can help highlight change over time.
How to Make Venn Diagrams in R
The usually abstract, qualitative and sometimes quantitative chart type shows relationships. You can make them in R, if you must.
How to Visualize Anomalies in Time Series Data in R, with ggplot
Quickly see what’s below and above average through the noise and seasonal trends.