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 Data Visualization Supports Decision Making

Sep 10th, 2014 / Data Visualization
The only thing I love more than analyzing research data is analyzing personal finance data. Not too long ago, a friend was trying to decide whether to continue renting his current apartment or to purchase a similarly-sized condominium. I couldn’t make the decision for him, but I could help him crunch the numbers.
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Introducing the Data Visualization Checklist

May 14th, 2014 / Data Visualization
This post has been a long time coming. Stephanie Evergreen and I knew some time ago that evaluators and social scientists had a thirst for better graphs, a clear understanding of why better graphs were necessary, but they lacked efficient guidance on how, exactly, to make a graph better. So we’re happy to introduce the data visualization checklist.
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