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.