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R PROGRAMMING LANGUAGE


R  PROGRAMMING LANGUAGE

For statistical computation and data analysis, a lot of people utilise the programming language and environment known as R. Due to its wide range of statistical and graphical techniques, it was created in the early 1990s and has since grown in popularity among statisticians, data scientists, and researchers.

Here are some of the programming language R's salient qualities and traits:

Data processing, modelling, and statistical analysis are all made possible by R's extensive range of tools and libraries. It includes a wide range of functions and packages that can be used to conduct many tasks, including time series analysis, regression analysis, hypothesis testing, and descriptive statistics.

Data Visualisation: R has strong graphical features that enable users to build a variety of static and interactive visualisations. It has a number of libraries, like ggplot2 and lattice, that make it possible to create graphs, plots, and charts of publication-quality.

R is extremely extendable and accepts user-contributed packages. Thousands of packages created by the R community and spanning a wide range of topics, such as machine learning, natural language processing, bioinformatics, and finance, are hosted via the Comprehensive R Archive Network (CRAN). These add-ons improve R's functionality and increase its adaptability to different analytical tasks.

Programming and scripting: R is a scripting language, allowing users to create and run scripts to carry out a variety of tasks. The development of reusable functions and packages is also made possible by the support of object-oriented programming paradigms.

Integration & Interoperability: Python, C++, and Java are just a few of the programming languages that R can easily interface with. It facilitates the exchange of data with popular formats like databases, CSV, and Excel. R can also be used as a scripting language in apps like RStudio or as an embedded language in other programmes.

Community and Support: R enjoys the support of a sizable and vibrant user and developer community. The community offers comprehensive lessons, forums, and documentation to aid users in their learning and problem-solving. The open-source nature of R promotes cooperation and ongoing language development.

R is a flexible and adaptable language that is utilised in a variety of industries, including academia, business, and research. Its widespread ecosystem of packages, statistical capabilities, and visualisation possibilities all contribute to its appeal. R may be an effective tool for your data-driven work, whether you're analysing data, developing statistical models, or producing visualisations.



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