Compact Ways to Visualize Distributions in R
For when you want to show or compare several distributions but don’t have a lot of space.
Most of the time, the distribution visualization basics get you where you need to go.As we’ve seen, there are a number of ways to visualize distributions in R, each method with its pros and cons. A good portion of the time, the standard plot types, such as a histogram or box plot, will provide what you need, but sometimes you need to look to other methods.
One such case is when you’re looking for more detail than a box plot provides but also have limited space. In this tutorial, you look at three alternatives.
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 a Polar Density Plot in R
With cyclical data, a circular format might be useful. Combine that with a smooth density to reduce noise, and you got yourself a plot.
How to Make a Semicircle Plot in R
It’s the half cousin of the bubble plot with less overlap and more straight edges.
Build Interactive Area Charts with Filters
When you have several time series over many categories, it can be useful to show them separately rather than put it all in one graph. This is one way to do it interactively with categorical filters.