Data Visualization is a widely used technique for visualizing, analyzing, and presenting datasets using different types of graphs. It is an effective way to evaluate a large data set using pictorial ...

Turning complex data into clear, compelling visuals is an essential skill for researchers who want their work to resonate. From avoiding misleading graphs to choosing the right chart type, effective ...

It doesn’t matter whether you subscribe to the “right brain” or “left brain” camp—the human mind is drawn to aesthetically pleasing shapes, colors, and patterns. And that’s exactly where data ...

Shillong Tear has gained huge recognition from players who analyze quantitative models and ancient results. Every day, ...

Data visualization has become a hot topic and more and more blogs and books are addressing this topic. The problem is that they give conflicting advice. One reason for this is that designers have ...

Guidance from data visualization specialists warns that some Excel chart types can confuse or mislead audiences. Examples include pie charts with many segments, 3D charts that distort perspective, and ...

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 ...

This story contains interviews with data visualization professionals Moritz Stefaner, Scott Murray, Benjamin Wiederkehr, partner at design and technology studio Interactive Things, data visualization ...

Thanks to their visual simplicity, bar graphs are popular tools for representing data. But do we really understand how to read them? New research has found that bar graphs are frequently misunderstood ...

In his new book, “How Charts Lie,” Alberto Cairo minces no words when laying out the dangers of poorly designed data visualizations. He identifies five broad categories of chart designs that aren’t ...