Are Viewers Expecting a Story? Lightning Talk from the DATAcated Expo

How do you modify a graph so that it’s just right for your audience? Surely a group of scientists will need something different from a group of policymakers. Some audiences adore data. Others don’t. Some audiences have plenty of time. Others don’t. In this blog post, you’ll learn about: the differences between default, traditional, and storytelling graphs; which techniques can help you tell a story with data (e.g., dark colors); and when to use each type of graph.
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Top 21 Dataviz Resources of 2021

6,000 total participants in our dataviz training academy so far. 28 blog posts. 14 YouTube videos. 6 podcast interviews. 1 new baby. What a year! Want to do some year-end learning as 2021 winds down? Here are our favorite 21 data visualization resources from the past year.
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Accessibility Quick Wins: Lower the Reading Level

How do we make our graphs more accessible? There’s a misconception that accessibility takes all day, that’s it’s costly, or that it’s complicated. Those are all false. We need to lower the reading level. Not because our readers dumb, but because they’re busy. They need to be able to understand what you wrote the first time—not the second, third, or fourth read-through.
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Accessibility Quick Wins: Remove Legends and Directly Label

How do we make our graphs more accessible? There’s a misconception that accessibility takes all day, that’s it’s costly and complicated. Those are all false. Accessibility is woven into all my trainings, but since this is a topic I get asked about a lot, I decided to make a new talk that’s focused just on accessibility for dataviz.
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