It's most often used by
statisticians, mathematicians, and data miners for developing statistical
software, graphing, and data analysis. The language’s array-oriented syntax makes
it easier to translate from math to code, especially for someone with no or
minimal programming background.
R is popular in academia but
companies that use R include IBM, Google, Facebook, Microsoft, Bank of America,
Ford, TechCrunch, Uber, and Trulia.
R has become the world’s largest
repository of statistical knowledge.
As of 2018, R has more than
15,000 publicly released packages, making it possible to conduct complex
exploratory data analysis.
R integrates well with other
computer languages, such as C++, Java, C, .Net, and Python.
Common mathematical operations
such as matrix multiplication work straight out of the box.
R has stronger object-oriented programming facilities than most statistical computing languages.
