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.)
Gain unlimited access to this tutorial and over a hundred more, plus courses and guides!
Gain 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, which looks more closely at the tools, the rules, and the guidelines and how they work in practice.
See samples of everything you gain access to:
More Tutorials See All →
Using Color Scales and Palettes in R
Color can drastically change how a chart reads and what you see in your data, so don’t leave it up to chance with defaults.
How to Make Gridded Maps
For when your geographic data is evenly spread rather than aggregated by government boundaries.
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.