Colors for Visualizing Data
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If you care about visualizing data, you'll eventually care about colors. They can make your visualization more attractive and engaging – or boring and dull. What do we need colors in data vis for? How to pick beautiful ones? How to keep them accessible – and how to use them to communicate your data in a truthful way? Join me for ten links (including 1.5 exercises) to find out.
Lisa Charlotte Rost is one of the foremost experts on data visualization design. She is a designer & blogger at Datawrapper, a charting tool based in Berlin. Before joining Datawrapper in 2017, she created data visualizations for newsrooms like Bloomberg, Tagesspiegel, SPIEGEL, NPR and ZEIT Online.
- How to pick more beautiful colors and 9 other articles
- Average reading time: 6 minutes
- Topics covered: colors, design, visual design, howto, colour
- Read or listen to articles
- From experts like Andy Kirk | Visualising Data, @gka@vis.social, Susie Lu, and more
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When visualizing data, you’re almost always working with color. So let's start with the basics: This article gives you an overview of the different color scales.