R Introduction

The R language is for the data science team working in the organization. basically its an open source, so any one can learn it. it is really good for true aspiring engineers who wants to explore in data science team as data scientist. It is one of the tools used by Data Scientists in their tool kits.

The name R comes from the developers of the language. There are two developers and the name 'R' is taken from the first letter of their names. they were 'Rose Ihaka' and 'Robert Gentleman'.

Key Points :

1. Statistical computing and graphic design display
2. Considered as a different implementation of S language
3. Provides a wide variety of statistical  ( linear and non-linear modelling, classical statistical tests,       time series analysis classification, clustering).
4. Graphical techniques.
5. Data manipulation, calculation and graphical display.
    5.1. an effective data handling and storage facility.
    5.2. a suite of operators for calculations on arrays, in particular matrices.
    5.3. a large, coherent, integrated collection of intermediate tools for data analysis.
    5.4. graphical facilities for data analysis and display either on screen or hard copy.
    5.5. well developed, simple and effective programming language which includes conditional,         loops, user-defined recursive functions, input and output facilities.
    5.6. C,C++, Fortran code can be attached while compiling.