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 ...

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 ...

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 ...

As more health systems work to harness their data for quality improvements and efficiency, many are realizing that it's about a lot more than just numbers. Intuitive and communicative charts and ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

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 ...

We talked with Lima to find out his thoughts on the connection between data visualization and architecture. The following conversation explores his inspirations and process, as well as his views on ...