The Graphics Continuum shows several ways that data can be illustrated individually or combined to show relationships. Use of various shapes, chart types, and colors can help identify patterns, tell stories, and reveal relationships between sets and types of data. Bar charts, or histograms, for examples, can illustrate a distribution of data over time, but they also can show categorical or geographic differences. Scatterplots can illustrate data from a single instance or for a period, but they also can be used to identify a distribution around a mean.
This set of charts does not constitute an exhaustive list, nor do the connections represent every possible pathway for linking data and ideas. Instead, the Graphic Continuum identifies some presentation methods, and it illustrates some of the connections that can bind different representations together. The six groups do not define all possibilities: Many other useful overlapping data types and visualization techniques are possible.
This chart can guide graphic choices, but your imagination can lead the way to other effective ways to present data.
I’ve seen a few other attempts to gather and categorize data visualization techniques, and I really like this poster. One of the biggest challenges for people is to break out of the Big Three chart styles: bar charts, line charts, and pie charts. It doesn’t matter if they’re designing an infographic or a PowerPoint presentation, I am often asked to help clients find new ways to visualize their data.
Jon Schwabish has posted a great article on Visual.ly about the development process and includes images of some other arrangements they attempted during the design process.