How to Make Animated Visualization GIFs with ImageMagick
Using the library command-line gets you more flexibility to highlight the important parts of the data.
I already covered how to make animated heatmaps in R, but in this tutorial you learn more about customizing the animation itself. Notice that in the animated GIF above, there is a pause in the middle to indicate a changing point and a pause at the end to show the most recent difference.
If you used the animation package in R, you could string together the images to make an animation, but you wouldn’t be able to create those pauses in between.
So instead, I created the images in R and then used ImageMagick command-line to string the images together — with the pause in between. For animated GIFs, the animation package uses ImageMagick. So going direct isn’t that big of a jump, and it gets you more flexibility.
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 Line Charts in Python, with Pandas and Matplotlib
The chart type can be used to show patterns over time and relationships between variables. This is a comprehensive introduction to making them using two common libraries.
R Cheat Sheet and Guide for Graphical Parameters
You can customize graphics in R with
par(), but the docs are mostly text and just organized alphabetically. Here is a more visual reference, categorized by what you can change. Plus, a one-page printout.
How to Make Beeswarm Plots in R to Show Distributions
Try the more element-based approach instead of your traditional histogram or boxplot.