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R is a programming language commonly used in data analytics, statistical computing, virtual data manipulation and scientific research. It also includes extremely powerful graphics capabilities.
R is free to download as it is licensed under the terms of GNU General Public license.
A global R community of around 2 million users, developers, and contributors support contribute and maintain R language.
IEEE publishes a list of the most popular programming languages each year. R was ranked 5th in 2016, up from 6th in 2015.
Programming codes of R can be used across all platforms like Linux, Windows, and Mac.
R supports cross-platform interoperability.
R is being used by the biggest tech giants like Twitter uses R for monitoring user experience while Ford uses it to analyze social media to support design decisions for their cars.
Programming languages like R helps a data scientist to collect data in realtime, perform statistical and predictive analysis, create visualizations and communicate actionable results.
R’s expressive syntax used for Statistical computing allows to import, clean, analyze, visualize and present data from various data sources.
R also has charting capabilities, which helps to plot data and create interesting visualizations, multi-panel charts, 3-D graphs from any dataset.
Everyone from machine learning enthusiasts to researchers use R to implement machine learning algorithms in fields like finance, genetics research, retail, marketing and health care.
R connects easily to many relational databases to manipulate or analyze large amount of data.
Several languages like C, C++, Java, FORTRAN, Python works efficiently with R