R Programming is a powerful statistical computing and graphics tool widely used for data analysis, visualization, and machine learning. It provides an extensive range of statistical techniques and graphical tools, making it a preferred choice for researchers, data scientists, and analysts. R integrates with various data sources and has a vibrant community that offers robust support and continuous development.

Features of R Programming:

• Comprehensive tools for statistical analysis and data modeling.
• Rich graphical capabilities for creating detailed and customizable visualizations.
• Extensive library support for specialized analysis and machine learning tasks.
• Seamless integration with databases, cloud platforms, and big data tools.
• Open-source and free to use with contributions from a global developer community.
• Flexibility to automate workflows and handle both small and large datasets efficiently.
• Support for reproducible research with tools like R Markdown and Shiny applications.
• Compatibility with other programming languages like Python, C++, and Java.

To check the R version run these commands:
$ sudo su
$ sudo apt update
$ R --version

Disclaimer: R is an open-source software distributed under the GNU General Public License. It is not affiliated with, endorsed by, or sponsored by any specific organization other than The R Foundation for Statistical Computing. R is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to R are not responsible for any damages