Learn R is a favourite among data analysts and research programmers, and as of August 2021, it was one of the top five programming languages of the year.
Because there are now so many possibilities, picking a programming language might be difficult. Too many good options are a common difficulty for programmers to deal with.
To assist you in avoiding this possible mental roadblock, we offer our recommendation of the R programming language. Examining R programming will help us better understand who should use it.
What is R Programming Language?
R, which was developed in 1993 by Ross Ihaka and Robert Gentleman, offers time series, statistical inference, machine learning techniques, and other features. R is a multiplatform programming language that runs on Linux, UNIX, Windows, and Macintosh. It is very extendable and sometimes referred to be an alternative implementation of the S language and environment.
It is a statistical computing and graphics language and environment, according to the R Foundation website. It is a widely used free and open-source programming language for statistical software applications. An integrated set of software tools for data manipulation, computation, and graphical display make up the R environment.
The environment includes:
- a capability for managing and storing high-performance data.
- a selection of mostly matrices used as array operators.
- a sizable, intuitive, integrated set of tools for intermediate data processing.
- Tools for graphic data analysis and display that can be utilised in hardcopy or on-screen.
- The programming language has user-defined recursive functions, loops, conditionals, and input and output capabilities. It is well-developed, straightforward, and efficient.
Who should use it?
R is a well-liked programming language, but it works particularly well because
- data analysis
- Statistics-based inference
- A machine learning algorithm
R offers a comprehensive collection of libraries for statistics as well as a supportive setting for statistical computation and design. R is a popular programming language among quantitative analysts because it is practical for importing and cleaning data.
R is a favourite among data analysts and research programmers, and as of August 2021, it was one of the top five programming languages of the year. In finance, which extensively relies on statistical data, it is also a vital instrument.
R should be learned by developers who are sick with popular programming languages. It is used in almost every industry, including manufacturing, banking, and finance. In the banking and financial industries, R is used for portfolio management and risk evaluations. It is used for drug discovery analysis and bioinformatics genomic analysis. Various statistical measurements are also implemented in R to enhance business operations.