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 ...

Humans are visual creatures, and today, when the national conversation is framed by data-driven topics like climate change, data security, and gerrymandering, data visualization has never been more ...

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 visualizations can affect whether and how people understand and interpret data. Researchers and writers using data visualizations face choices about which data to use or emphasize. Those ...

Instead of telling people about a story/data/information, show them. Humans are inherently programmed to respond to the visual and our brains process images 60,000 times faster than text. Images seen ...

In financial markets, timing is often critical. Traders and analysts need to react quickly, and visual cues help them make ...