Learn to visualize your data like an expert with these practical how-tos for presentation, analysis, and understanding.
A detailed guide for R users who want to polish their charts in the popular graphic design app for readability and aesthetics.
In the the last part of the four-part series, you make a longer animation with more data and annotate.
How to make a bunch of maps and string them together to show change.
How to make a more readable and more visually accurate map, before you dive into the big transitions.
Rarely do you have evenly-spaced data across an entire geographic space. Here is a way to fill in the gaps.
There are many ways to show parts of a whole. Here are quick one-liners for the more common ones.
Try the more element-based approach instead of your traditional histogram or boxplot.
Use a force-directed graph to form a collection of bubbles and move them around based on data.
Instead of traditional pie charts that rely on angles and arc lengths to show parts of a whole, try this easier-to-read version.
Let the data speak for itself they say. That doesn't work a lot of the time, and when that happens, you need to explain.
Learn to visualize temporal patterns in a couple of days.
Show connections and changes over time with start and end points.
Whether you use circles as visual encodings or as a way to highlight areas of a plot, there are functions at your disposal.
R makes it easy to add squares and rectangles to your plots, but it gets a little tricky when you have a bunch to draw at once. The key is to break it down to the elements.
deldirpackage by Rolf Turner makes the calculations and plotting straightforward, with a few lines of code.