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. The package names in the table are clickable ...

Improving the quality of data visualizations can help in communicating results more clearly and transparently to other scientists, stakeholders and the general public. This course will use a workshop ...

William H. Baltosser, Data acquisition, visualization, and analysis using R, Ecology, Vol. 95, No. 11 (November 2014), pp. 3232-3234 ...

Scott Nelson, President & CTO, Tamarack Technology Bob Rinaldi, President, Rinaldi Advisory Services Scott Nelson and Bob ...

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.

Data visualization can be intimidating and something that many organizations struggle to accomplish. Here is how to take your data and turn it into great insights and a story that resonates with ...