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, ...

From no-frills graphics to adding color and labeling your data, here's what you need to know.

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.

“The Buffalization Data Visualization Challenge was my favorite event I participated in last year and winning it added great value to my resume.” -Niranjan Cholendiran, Master of Science in Data ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable ...

Observable released use case-based Templates, providing a rich, collaborative canvas to easily explore data and create interactive visuals.

Data visualization is using data and statistics in creative ways to show patterns and draw conclusions about a hypothesis, or prove theories, that can help drive decisions in the organization.

A new online data visualization tool, the City Health Dashboard, has been created to improve city-level understanding of health and empower mayors, city managers and health officials to enact ...

Researchers say the ability to visualize health data in three dimensions can unlock patterns and relationships among ...