R is a programming language and open-source software environment that is widely used for statistical computing, data analysis, and graphics. It was developed by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and it was first released in 1995. R provides a comprehensive set of tools for manipulating, visualizing, and modelling data, making it a favourite among statisticians, data scientists, researchers, and analysts. Key Features of R: 1. Data Manipulation : R offers powerful data manipulation capabilities, allowing you to clean, transform, and preprocess data easily. Packages like `dplyr` and `tidyr` provide functions for efficient data wrangling. 2. Statistical Analysis : R provides an extensive range of statistical functions and libraries for performing various types of analyses, including regression, hypothesis testing, ANOVA, and more. 3. Visualization : R is known for its exceptional visualization capabilities. The `ggplot2` package is widely us...
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