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.

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

Easy-to-use mapping tools give researchers the power to create beautiful visualizations of geographic data.

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.

Bo McCready's creative data visualization projects have helped him win over the stat nerds of Reddit's r/dataisbeautiful in just seven short months.

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

“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 ...