What Makes a Useful Data Story? 5 Questions to Ask 

Jan 17th, 2022 / Data Analysis
Ready to tell a story with data Great! Let’s remove the guesswork from our graphs. The next step is to figure out which message we’ll highlight. We can’t visualization everything—that dilutes the power of our graph. Here are five thought-starter questions to help you uncover useful nuggets in your data.  
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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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Work Smarter, Not Harder, When Visualizing Data

Jun 13th, 2019 / Data Visualization
Esther C. Nolton attended one of my data visualization workshops in May 2019, and almost immediately followed up with examples of her own reports and slideshows that she had begun revamping based on what she learned in the session. Here In this guest post she outlines the three most used lessons that she took away from the workshop.
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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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