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R Programming is a powerful open-source programming language and software environment designed for statistical computing, data analysis, and graphical representation. It provides a wide range of tools and libraries for exploring, analyzing, and visualizing data, making it a popular choice among data scientists, statisticians, and researchers.

Features of R Programming:

R provides extensive libraries and functions for data analysis, manipulation, and transformation, allowing users to perform complex statistical computations and modeling tasks.
R offers sophisticated graphical capabilities for creating high-quality plots, charts, and visualizations to explore and communicate insights from data effectively.
R supports a wide range of statistical techniques and models, including linear and nonlinear regression, time series analysis, machine learning algorithms, and more, empowering users to build predictive models and derive actionable insights from data.

Disclaimer: R Programming is an open-source software distributed under the GNU General Public License (GPL). It is not affiliated with, endorsed by, or sponsored by any company. R Programming is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to R Programming hold no responsibility for any damages, losses, or consequences resulting from the use of this software. Users are advised to carefully review and comply with licensing terms and any applicable regulations while using R Programming.

R ProgrammingATH Infosystems5.0(1 ratings)

R Programming

ATH Infosystems

R Programming

ATH Infosystems

R Programming
ATH Infosystems
5.0(1 ratings)