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R is a programming language that is free and open-source. The R programming language was created in New Zealand by Robert Gentlemen and Ross Ihaka. It's utilized for data analysis and statistical computations. R is the best programming language for statistical techniques like regression modeling, traditional statistical tests, time-series analysis, data mining, classification, and clustering.
R is an open-source programming language that allows for simple upgrades and saves money for businesses. Furthermore, R provides cross-platform interoperability. R is compatible with Mac OS X, Windows, and Linux. In addition, data is imported from various sources, including Microsoft Access, SQLite, Microsoft Excel, MySQL, Oracle, and others.
It's ideal for extensive, resource-intensive simulations. R also offers excellent performance on computer clusters. Finally, we can say that R programming benefits its users in various ways.
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R is a suitable tool for applying various statistical operations to Data Science because it heavily relies on statistics. In addition, r is appealing for various data science applications because it has aesthetically pleasing visualization tools such as ggplot2, scatterplot3D, lattice, and high charter.
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