R is a programming language and software environment for statistical computing and graphics. It was developed by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand in the mid-1990s. R provides a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, statistical tests, time-series analysis, classification, clustering, and graphical techniques.
The R programming language is open source and widely used in academic research, data analytics, and data science. It has a large and active user community, which has contributed to the development of many packages that extend the functionality of R. R is free to use and can be downloaded and installed on multiple operating systems, including Windows, macOS, and Linux.
One of the advantages of R is its flexibility in data handling. It can easily import data from different sources, such as spreadsheets, databases, and text files. R can also be used for data cleaning, data wrangling, and data transformation tasks. R provides a powerful set of tools for data visualization in 2D and 3D, making it easy to generate charts, plots, and maps.
R has become one of the most popular programming languages for data science and analytics because of its advanced statistical analysis capabilities, easy-to-use syntax, and efficient data processing. It is widely used in areas such as bioinformatics, finance, machine learning, and social sciences.
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