Abstract: Graphs, charts, and other visualizations of data rely on color both to convey key aspects of the underlying data and to attract and engage viewers. Getting both the accuracy and aesthetics ...

Data visualizations are beautiful, exciting ways to tell stories. But you have to choose carefully in designing a map or chart, and one of the biggest mistakes is misusing rainbow colors. Rainbow ...

Colors are an effective medium for communicating meaning. Some have certain implicit psychological associations. Red, for example, is often associated with power, love, and anger. Blue might convey ...

“Once upon a time, I tweeted on an urgent matter. ‘Can somebody tell me how to get better with color?’ I wrote. ‘My color decisions are awful.'” — ...

Data visualisation is a cornerstone of modern scientific communication, and colour theory provides a structured framework for translating complex datasets into intuitive visual representations. By ...

Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, perpetuating inequity and harmful stereotypes.

Old cities, like London and Paris, appear as rainbow mishmashes of winding roads and neighborhoods. Von Worley took metro-area grids from OpenStreetMap and used an algorithm to color every public ...