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 ...

Given how powerful and ubiquitous data visualization is, wouldn’t you like to be better at it? Want to pick up a couple of tips to make your next chart or graph more convincing? If so, keep reading.

The Global Data Visualization Tools Market is valued at approximately USD 6.58 billion in 2022 and is projected to grow with a robust CAGR of over 11.6% during the forecast period from 2023 to 2030.

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.

Why is data visualization so important in statistics, anyway? Graphs and other kinds of visualizations might seem superfluous, if you’re using statistical analysis to look for patterns in a data ...

Now though, it’s making visualization tools available to everyone with the launch of its on-premise solution that lets users easily interact with their graph data.

Writers offer conflicting advice on data visualization in blogs and books. I present an example where an alternative figure has at least as many problems as the figure being criticized.

Effective data visualizations go beyond aesthetics; they also allow organizations to make quick and correct decisions from massive amounts of information.