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. Of all the design elements in a given data visualization – the headings, the analysis, the comparisons, and so on – color is arguably ...

Master the art of impactful data visualization with these 10 tips to transform raw numbers into compelling visual stories. ... Limit your color palette: Too many colors can overwhelm the viewer.

“Mapping data to color is a rich, complex space,” Mackinlay says. “There are two major parts to it. If you’re trying to encode quantitative data with color then it’s all about making sure you have ...

Aesthetics—the use of the right visual size, typography, flow and color—can significantly bolster data visualization. Some recommendations include the following.

The two-color scale also makes changes in data look more gradual, whereas with a rainbow of colors, the difference between each color looks very stark. The ability to show a gradual progression ...

Instead, a color palette with nine distinct hues or a different data visualization type altogether would do a better job of applying a racially equitable lens. Centering Empathy Here and in our longer ...

Data-Driven Automation of Color Encodings for Data Visualization (NSF CHS 1657599). PI: Danielle Albers Szafir. Sponsor: National Science Foundation. Abstract: Graphs, charts, and other visualizations ...

Data visualizations using rainbow color scales are ubiquitous in many fields of science, depicting everything from ocean temperatures to brain activity to Martian topography. But cartographers ...