Data Science- R
R is a programming
language and software environment for graphical representation, statistical
analysis, and reporting. It initiated by Ross Ihaka and Robert Gentleman at the
University of Auckland, New Zealand, and is currently being developed by the
Development Core Team.
Root R is a computer-translated language that allows loading and looping as well as modern
programming using functions. R allows connection with the methods written in C,
C ++, .Net, Python or FORTRAN for efficient operation.
R is available under the
GNU General License and binary versions are offered for different operating
systems such as Linux, Windows, and Mac.
R is a software package
distributed under the GNU-left copy, and a subset of the GNU service called GNU
S.
Evolution of R- R was originally written by Ross Ihaka and
Robert Gentleman at the Statistics Department at the University of Auckland,
New Zealand. R first appeared in 1993.
- A large group of individuals
     contributed to R by sending code and error messages.
 - Since mid-1997 there has been a
     core group (the "R Core Team") that can modify the R source
     archive.
 
Features of R- As mentioned earlier, R is a programming
language and software environment for statistical analysis, graph
representation, and reporting. The following are important features of R- 
- R is a simple, well-developed,
     and efficient programming language that includes conditional links, user-defined
     recursive functions, and input and output objects.
 - R has an effective way of
     processing and storing data,
 - R provides a set of operators
     for computing arrays, lists, vectors, and matrices.
 - R provides a large, integrated
     and integrated set of data analysis tools.
 - R provides graphical
     capabilities for data analysis and display either directly on a computer
     or by printing on newspapers.
 
To conclude, R is the
most widely used statistical programming language in the world. It is the
number one data scientist choice and is supported by a vibrant and talented
investor community. R is taught in universities and deployed in
mission-critical application programs. This tutorial will teach you R
programming as well as simple and easy steps with simple examples.

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