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

Abstract 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 ...

Data-visualization companies are creating buzz with visual representations that let you "see" your data and manipulate it—instead of reading columns of numbers. Big data is a big plus: You can ...

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.

Börner presents an encyclopaedia of examples of needs-driven workflow design and data scale, as well as types of visualization such as tables, charts, graphs, maps and networks.

Climate change communication often relies on visualization of climate data. This Review highlights research from the cognitive and psychological sciences that can inform practices for increasing ...

Through crowdsourcing and citizen science projects, the general public is making profound contributions to research. Can data visualization help make sense of this wealth of new information?

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, without proper ways to aggregate and transform this data into info… ...