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 ...

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.'” — ...

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 ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...

Artificial Intelligence (AI) and Data Visualization can seem like an unlikely marriage. AI techniques often work as a black box: we cannot know how the AI has reached its conclusion. This can raise ...

Charting APIs have their place, but embedded analytics platforms are often a better way to create interactive, visual experiences in your applications. If you develop applications that share data with ...

Complex neuroimaging data can be explored through translation into an audiovisual format -- a video with accompanying musical soundtrack -- to help interpret what happens in the brain when performing ...