R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions.

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

Data visualization and information visualization tools are designed to provide a graphic representation of key points in order to communicate large data sets in an efficient and easy-to-read manner.

Examples include Visual.ly, Tableau, Vizify, D3.js, R, and myriad others.” For Simon, data visualization is the necessary ingredient in bringing the power of Big Data to the mainstream.

Every year, more than one million scientific articles are published in the life sciences. Two-thirds of them include ...

Cohen: The lead one is an interesting example of using visualizations during reporting, and of moving pretty seamlessly into publication both in the paper and online.

Visualizations can be made much more sophisticated, but the examples here provide a basic concept that can be expanded upon as necessary. An added benefit of using data visualization is the increased ...

Preparing the data for React-vis To start, I’ve bootstrapped a React project with create-react-app and added a few dependencies: react-vis, d3-fetch to help pull in the CSV data, and moment to ...

The best data visualizations break down complicated datasets to present a concise and clear message. Read on for more on data visualizing, its importance, and how to use it for your SEO campaign.