Using Transparency in R to Improve Clarity
When you plot a lot of data at once, points and lines can obscure others and hide patterns. Transparency can help reveal what is really there.
Transparency doesn’t seem to be used much, but it’s as easy to set as color. All you have to do is append a value from 0 to 99 to a hexadecimal color code. A value of zero gives you completely transparent whereas a higher value gives you more opaque. For example, if you add “05” to “#000000” so that it’s “#00000005” you have a transparent shade of black.
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 Gridded, Equal-Distance Dot Maps
For when your geographic data is evenly spread rather than aggregated by government boundaries.
How to: make a scatterplot with a smooth fitted line
Oftentimes, you’ll want to fit a line to a bunch of data points. This tutorial will show you how to do that quickly and easily using open-source software, R.
Small Maps and Grids
Maybe you want to make spatial comparisons over time or across categories. Organized small maps might do the trick.