R is an open-source programming language that is widely used as a statistical software and data analysis tool. R generally comes with the Command-line interface.R is available across widely used platforms like Windows, Linux, and macOS. Also, the R programming language is the latest cutting-edge tool.
R programming is used as a leading tool for machine learning, statistics, and data analysis. Objects, functions, and packages can easily be created by R.
R is currently one of the most requested programming languages in the Data Science job market that makes it the hottest trend nowadays.
We use R for Data Science. It gives us a broad variety of libraries related to statistics. It also provides the environment for statistical computing and design.
R programming language is not only a statistic package but also allows us to integrate with other languages (C, C++). Thus, you can easily interact with many data sources and statistical packages.
It strives to provide a cohesive collection of functions to deal with common data science tasks, including data import, cleaning, transformation and visualisation (notably with the ggplot2 package). Dynamic and interactive graphics are available through additional packages.
R is the most comprehensive statistical analysis package. As new technology and concepts often appear first in R.
R programming language is an open source. Thus, you can run R anywhere and at any time.
In R, everyone is welcome to provide new packages, bug fixes, and code enhancements.
