Today's data visualization tools go beyond the standard charts and graphs used in Excel spreadsheets, displaying data in more sophisticated ways such as infographics, dials and gauges, geographic maps ...

This article was originally published on Data-Smart City Solutions. The problem of unequal wealth distribution in American cities has never been greater than it is today. Nine out of ten metropolitan ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions. Basically, data visualization is ...

When a meteorite fell on Russia in February this year, surprising many in the city of Chelyabinsk and the rest of the world, several questions arose: How often does this happen? When was the last time ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

My name is Isaiah Lyons-Galante. I am a second-year masters student in Geography. Since the start of my program, I have been working as a Graduate Research Assistant at the National Renewable Energy ...

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 ...

Time may seem scarcer than ever, but fortunately technological advancements have presented auditors with many tools to improve the effectiveness and efficiency of audits. One such tool is data ...

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 ...

Through rigorous, data-based analysis, researchers and analysts can add to our understanding of societal shortcomings and point toward evidence-based solutions. But carelessly collecting and ...

Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, perpetuating inequity and harmful stereotypes.