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, ...

Drill-down visualizations can be a good way to present a lot of data in a digestible format. In this example, we’ll create a graph of median home values by U.S. state using R and the highcharter ...

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 if ...

R has some excellent mapping options. There is the leaflet R package, which I use when I want to do a lot of customization. There is tmap, which I like for its nice balance between power and ease of ...

R is hot. Whether measured by more than 10,000 add-on packages, the 95,000+ members of LinkedIn’s R group or the more than 400 R Meetup groups currently in existence, there can be little doubt that ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

“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 ...

For years, geneticist Helene Royo used commercial software to analyse her work. She would extract DNA from the developing sperm cells of mice, send it for analysis and then fire up a package called ...