![]() Most color palettes we looked at did not provide enough options. When building Graphiq visualizations, we need a palette that offers at least six colors, if not eight to twelve colors, to cover all of our use cases. Problem 2: Not Enough ColorsĪnother problem is that many existing color palates did not have enough colors. Those who are color blind may find it difficult to interpret a data visualization that uses the Flat UI palette:įlat UI Colors in full colors, protanopia mode, and grayscale. But, as its name indicates, it’s designed for user interfaces. Flat UI Colors is one of the most widely used color palettes out there, and it’s easy to see why: it looks great. Not only do they not vary enough in brightness, but they were often not created with accessibility in mind. Many of the color palettes we looked at were not designed for visualizations. We identified several reasons as to why we couldn’t use existing color palettes: Problem 1: Low Accessibility Surprisingly, we found that few are actually designed for complex charts and data visualizations. Rather than diving in head first and creating our own color palette, we started by conducting some research on existing color palettes around the web. ![]() While good color palettes are easy to come by these days, finding the right color palette for data visualizations is still quite challenging.Īt Graphiq, things are arguably made even more difficult, as we need to convey information across thousands of unique data sets in many different types of visualization layouts. NovemFinding the Right Color Palettes for Data Visualizations
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