R programming uses a number of software suites for statistical computing, graphical representation, data calculation and manipulation. Following are a few characteristics of R programming:

- It has an extensive tool collection
- Tools have the operators to perform Matrix operations and calculations using arrays
- Analysing techniques using graphical representation
- It is a language with many effective features but is simple as well
- It supports machine learning applications
- It acts as a connecting link between a number of data sets, tools and software
- It can be used to solve data oriented problem

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R programming uses a number of software suites for statistical computing, graphical representation, data calculation and manipulation. Following are a few characteristics of R programming:

- It has an extensive tool collection
- Tools have the operators to perform Matrix operations and calculations using arrays
- Analysing techniques using graphical representation
- It is a language with many effective features but is simple as well
- It supports machine learning applications
- It acts as a connecting link between a number of data sets, tools and software
- It can be used to solve data oriented problem

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