Tutorials
85 posts
Also known as ridgeline plots, the method overlaps time series for a 3-D-ish view of the data. While perhaps not the most visually efficient, the allure is undeniable. Read More
Compare distributions side-by-side with a pyramid chart. Observe the change over the years by animating it. Read More
Defaults are generalized settings to work with many datasets. This is fine for analysis, but data graphics for presentation benefit from context-specific design. Read More
When you want to focus on the magnitude of differences between low and high values, use visual cues that highlight distance. Read More
Moving your data from the digital screen to something more physical isn't as tricky as it seems. Here's how I did it. Read More
Make the unit chart less abstract with icons that represent the data, or use this in place of a bar chart. Read More
The usually abstract, qualitative and sometimes quantitative chart type shows relationships. You can make them in R, if you must. Read More