R is a free software environment for
statistical computing and graphics. It is the most widely used language for
data science, together with python.
R is also a great tool for data visualization. The native tool becomes even better thanks to external packages such as ggplot2 that are widely used in the gallery.
If you're wondering what you can do with R in terms of dataviz, visit the all charts page.
The R graph gallery displays about
400 charts, always providing the reproducible code
and explanations. Charts are organized by family and types.
For each chart, a focus is made on code, but a link toward data-to-viz is provided to give more information concerning the theory.
I always forget how to build a chart and thus decided to build this gallery as a personnal cheat-sheet. I hope it can benefit others, but please keep in mind I maintain it as a side project.
The R graph gallery currently counts about
400 000 visits / month.
Visitors are all interested in
R, Data science and data visualization. Why not promoting your company or event
by adding an image on every page of the gallery? Subscription is made monthly and can be stopped
whenever. Please contact me at
for more details.
I warmly thank the previous and current sponsors without who this project could not exist.
Rwouldn't be the same without the members of this company.
R packagecreators. Without them
Rwould be way different, and the gallery would not exist. Sometimes, the chart examples can be close to their documentation, but I always try to link toward their tool.