I propose the following law: “The longer an innovative visualization exists, the probability someone says it should have been a line/bar chart approaches 1” I’ve seen the “shoulda been a line chart” ...

Data visualization is one of the most important tools we have to analyze data. But it’s just as easy to mislead as it is to educate using charts and graphs. In this article we’ll take a look at 3 of ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...

Creating effective bar charts, line graphs and other presentation visuals takes skill — unless you use artificial intelligence to handle the heavy lifting. Columns AI takes your data and automatically ...

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 ...

Now more than ever, visuals are used to relay facts and figures in business, politics and socioeconomics. Data visualizations, such as graphs, charts and tables, are commonplace in presentations. When ...

As we've been keeping track of the graph scene for a while now, a couple of things have started becoming apparent. One, graph is here to stay. Two, there's still some way to go to make the benefits of ...

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 ...