Brief about R programming

This article is about R programming, it’s importance, who uses it and why it’s popular among statisticians.


Binod Jung Bogati


December 18, 2019

Have you taken a statistic course during college?

If yes, then you might have heard about R Programming.

If not, then now you’ll get to know more about it.

What is R?

R is an open source programming language for statistical computing and graphics. It is supported by R Foundation for Statistical Computing. Today, the R language is popular among statisticians, data science as a statistical, data analysis and data science tool.

Why R Programming?

R has a great eco-system for data manipulation, calculation, and graphical visualizations. It includes:

  • an effective data handling and storage facility,
  • a suite of operators for calculations on arrays, in particular, matrices,
  • a large, coherent, integrated collection of intermediate tools for data analysis,
  • graphical facilities for data analysis and display either on-screen or on hardcopy, and
  • a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive
  • functions and input and output facilities.

Who uses R?

The companies like social media to search engine giants uses R.

  • Facebook - For behavior analysis related to status updates and profile pictures.
  • Google - For advertising effectiveness and economic forecasting.
  • Twitter - For data visualization and semantic clustering
  • Microsoft - Acquired Revolution R company and use it for a variety of purposes.
  • IBM - Uses for internal business and analytical tools

The popularity of R by Industry

R has been widely used in industry. It’s become more popular every year.

R has CRAN

It’s one stopper package management system called CRAN (Comprehensive R Archive Network). It provides eco-system for R packages to make your work easier.

Beside this, R has lots of things you need to work with data. The R ecosystem is changing with expansion of data science field. In general, R language has contributed to its value as a programming language and as a data analysis environment.

If you want to work with data science, R can be your best tool to get started.