R is a popular programming language used in the field of data science. Created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, R has gained popularity due to its extensive and powerful statistical computing and data visualization capabilities.
With R, users can easily import, manipulate, analyze, and visualize data in various formats. R has a wide range of built-in statistical functions and a vast library of packages that can be used to perform tasks such as machine learning, data mining, and predictive analytics.
Additionally, R can easily integrate with other programming languages and tools like Python, SQL, and Tableau, allowing for even more flexibility and functionality. R is an open-source language, meaning that it is freely available to use and modify, and has a large and active community of developers who contribute to its development and maintenance. Because of its versatility, power, and open-source nature, R has become a go-to tool for data scientists, researchers, and statisticians who work with large data sets and need to perform complex data operations.