Data Visualization is the visual representation of information, making it an easier and better source for learning and data analysis.

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.

In order to have humans effectively analyze the complexity of data today without VR and AR, they have to manually pull together 2D representations, reports, graphs, and the like, to try to inform ...

Graph Visualization Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure ...

Popular Science assembled a panel of data-visualization experts—practicing designers at the forefront of the field—and asked them to rate candidate visualizations, chosen for their novel ...

Common data visualization downfalls To understand just how easily visualizations can deceive, take a look at the following examples and how they can be corrected. 1. Truncated graphs One of the most ...

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.

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 ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data.