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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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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The Data Visualization Design Process: A Step-by-Step Guide for Beginners

May 1st, 2014 / Data Visualization
Visualizing numbers in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. In this step-by-step data visualization guide for beginners, I’ll walk you through the data visualization design process so that you can transform your spreadsheets into stories.
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