Core principles for successful data visualization, including tips on how to reduce clutter, preattentive processing and how to integrate text within the graph.

By Jon Schwabish, PolicyViz.

I'm a big believer that anyone can learn how to communicate their data in better ways. I’ve published more than 130 podcast episodes, and I don’t think any of my guests have come directly to data visualization, but instead have come from a range of areas like journalism, astronomy, economics, business, government, and more.

When it comes to learning how to best visualize your data, there is a plethora of great books, websites, blogs, and podcasts. In my Core Principles classes and workshops, I provide this cheat sheet as a summary of some of the core lessons. Obviously, this doesn’t cover everything, but I think it serves as a good reminder of best practices and core things to keep in mind.

You can take a look at the image versions below or download the high-res PDF version for yourself.

Bio: Jon Schwabish is a Senior Fellow in The Urban Institute’s Income and Benefits Policy Center and a member of the Institute’s Communication team where he specializes in data visualization and presentation design. He blogs at Policyviz.com.

Original. Reposted with permission.

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