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R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. As R language is widely used among statisticians and data miners for developing statistical software and data analysis.

History of R

To start with R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and currently developed by the R Development Core Team. More importantly, R is an implementation of the S programming Language and combines with lexical scoping semantics inspired by Scheme. John Chambers and colleagues developed S at Bell Laboratories. Also, R was named partly after the first names of two R authors.

Language Features:

  • Initially flexible and powerful.
  • Has effective data and storage facilities
  • Provides graphical facilities for data analysis
  • Also, Open-sourced
  • Also, interpreted language
  • More importantly, Object-Oriented Programming Language
  • Besides supports matrix arithmetic.
  • Also, case sensitive

Job Roles in R Programming Language

All types of companies that are hiring R candidates including:

  • Financial firms
  • Retail organizations
  • Banks
  • Healthcare organizations etc.

Hence, there is a huge demand for R jobs among start-ups and companies have several openings for R programmers with various positions like:

  • Data Scientist
  • Data Scientist (IT)
  • Analyst Manager
  • Senior Data Analyst
  • Business Analyst
  • Analyst Consultant

Conclusion

Hence, R is easy to learn and use language. Moreover, it is widely in practice and students and data scientists. Hence learning R will the wisest decision you will make for launching your career in the big data space.

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