R is a powerful language and environment for statistical computing, data analysis, and visualization. It has been widely adopted by data scientists, statisticians, researchers, and analysts who require strong capabilities in handling manipulations of data, statistical modeling, and visualizing complex datasets.
The R Project refers to the language itself as well as its ecosystem which includes large libraries, tools, and resources that can be used to work with data.
What is R?
R is an open-source, high-level programming language essentially aimed at data analysis, statistical computing, and graphics. Its most sought-after features include,
Data Manipulation: R provides powerful tools to handle and manipulate data efficiently.
Statistical Analysis: It comes with various models of statistical analysis that include the following: linear regression, time series analysis, hypothesis testing, clustering, etc.
Data Visualization: Another thing at which R is awesome: generating high-quality graphs, charts, and other forms of visual data (using packages such as ggplot2).
Extensibility : There exists a humongous number of packages in the CRAN (Comprehensive R Archive Network), and thus it can extend all functionalities of the R software for a wide range of applications - even from machine learning to bioinformatics and finance.
The R Project (R Foundation)
The R Project for Statistical Computing is the body that manages the R language. They take up the management of the development of R while ensuring that it remains open-source, free to use, and continuously evolves. Research and development of R are funded by the R Foundation, which provides grants.
Website: The R Project
Useful Link : A Comprehensive Guide to Installing R Project on Your System
The R Project refers to the language itself as well as its ecosystem which includes large libraries, tools, and resources that can be used to work with data.
What is R?
R is an open-source, high-level programming language essentially aimed at data analysis, statistical computing, and graphics. Its most sought-after features include,
Data Manipulation: R provides powerful tools to handle and manipulate data efficiently.
Statistical Analysis: It comes with various models of statistical analysis that include the following: linear regression, time series analysis, hypothesis testing, clustering, etc.
Data Visualization: Another thing at which R is awesome: generating high-quality graphs, charts, and other forms of visual data (using packages such as ggplot2).
Extensibility : There exists a humongous number of packages in the CRAN (Comprehensive R Archive Network), and thus it can extend all functionalities of the R software for a wide range of applications - even from machine learning to bioinformatics and finance.
The R Project (R Foundation)
The R Project for Statistical Computing is the body that manages the R language. They take up the management of the development of R while ensuring that it remains open-source, free to use, and continuously evolves. Research and development of R are funded by the R Foundation, which provides grants.
Website: The R Project
Useful Link : A Comprehensive Guide to Installing R Project on Your System