R Online Compiler

R is a universal programming language developed in 1993 by Ross Ihaka and Robert Gentleman. Linear regression, statistical inference, machine learning algorithms, and time series are some highlighted features of this language. This open-source language is platform-independent, which means you can run it on all operating systems.

R has more than 10,000 packages that data analysts can use for data wrangling. However, R has a steep learning curve and is ideal for people with previous programming knowledge only.

Programmers use the R language for different purposes, but its most effective use is seen in the fields of data analysis, statistical inference, and machine learning algorithms. This language comes with a variety of statistics-related libraries and hence, offers a suitable environment for statistical computing and design.

Moreover, many quantitative analysts use this language as a programming tool as it can perform well in data importing and cleaning. The use of R language is mostly seen in financial services, academic research, FDA, National Weather Service, retail, manufacturing, healthcare, data journalism, and social media.

Organizations that use R language include Airbnb, Microsoft, Facebook, Google, Twitter, IBM, Ford, Uber, HP, and IBM.

Learning Resources

You can learn R from the following online resources:

• R Programming: A Coursera course on programming using R language.

• R Programming Basics for Data Science: An edX course that introduces you to R language fundamentals.

• Introduction to R: A DataCamp course on the basics of data analysis in R.