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 ...

If you’ve ever doubted that visualization matters to data analysis, you need to see these images. Why is data visualization so important in statistics, anyway? Graphs and other kinds of visualizations ...

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 ...

As business people and marketers, we traffic in data. It’s what we use to make decisions (even gut decisions). Data is also how we communicate the status of things and how we make the case for change.

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 ...

The coronavirus crisis has shown how easily a poorly drawn or chosen map, chart, or data visualization can be misinterpreted, with potentially grave consequences. In one recent example, researchers ...

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

The startup Observable is trying to echo GitHub with a free tool and platform for creating, sharing, and tweaking data visualizations. Creating sophisticated data visualizations may not be for ...

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 ...

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 ...