How to Tell a Story with Data: Titles, Subtitles, Annotations, Dark/Light Contrast, and Selective Labeling

Feb 24th, 2016 / Data Visualization
Do your viewers want to see the data presented as-is (the traditional approach to data visualization)? Or, do they want you to cut to the chase and interpret the data (the storytelling approach to data visualization)? In this article, you’ll learn how titles, subtitles, annotations, dark/light contrast, and selective labeling can help you tell a story with data.
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How to Avoid Death by PowerPoint by Differentiating Between Slidedocs and Slidedecks

Apr 4th, 2022 / Presentations
You’ll learn how to differentiate slidedecks and slidedocs when using software like PowerPoint or Google Slides. Slidedecks are presentation slides that accompany the speaker, and they’ll generally have as little text as possible and plenty of high-quality images. Slidedocs are standalone documents that just happen to be made in PowerPoint instead of Word. Since they’re meant to be reports, they’ll need more full sentences.
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Are Viewers Expecting a Story? Lightning Talk from the DATAcated Expo

Jan 11th, 2022 / Data Visualization
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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Accessibility Quick Wins: Lower the Reading Level

Dec 7th, 2021 / Data Visualization
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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Creating a Community through Graphs

Sep 14th, 2021 / Data Visualization
Maddison Staszkiewicz is a Depict Data Studio student and evaluator. She was part of the 2020 Great Graphs: Excel How-To’s cohort and is sharing her experiences with us. She especially loved the community of the course which helped her to learn new techniques, perspectives, gain valuable feedback and much more.
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