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.
