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 ...

“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.'” — ...

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 ...

When working with large amounts of data, precision is key. The same is true of the art of data visualization: size, shape, shade, hue–the tiniest details of a visualization can radically alter how ...

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 ...

Forbes contributors publish independent expert analyses and insights. I write about digital marketing, data and privacy concerns. Any great story means visualization and detail. It takes the small ...