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GROUP CODE :
PRESENTED BY :
Group Members Name Roll No
Kamini Jain AL26
Shwet Dadhaniya AL15
Mahesh Chauhan AL10
Hardik Padhiyar AL44
Mehul Narnavre AL40
Khemchand Chaurasiya AL13

Index
What is R?
What is RStudio?
Steps for Data Analysis with R
Features of R
Applications of R
Advantages of R
Why learn R?
Scope of using R
R Alternatives
Comparision of R with other Languages
Rank of R
Companies using R
Installing R & RStudio on Windows PC
R Console Layout
RStudio Layout

What is R?
R is a programming language and free software environment for statistical
computing and graphics supported by the R Foundation for Statistical
Computing.
It is one of the most popular languages used by researchers and marketers
to retrieve, clean, analyze, visualize and present data.
Designed by “Ross Ihaka” and ”Robert Gentleman” in New Zealand.
Developed by “R Core Team”.
Extensions of R files are “.r”, “.R”, “.Rdata”, “.rds”, “.rda”.
R has a command line interface, there are several graphical user interfaces,
such as RStudio, an IDE.
It is a GNU project which is similar to the S language.
Facilities for data manipulation, calculation and graphical display.
R is statistical software which is used for data analysis. Hom
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What is RStudio?
Free and Open-Source (IDE) for R, a programming language for statistical
computing and graphics.
Founded by JJ Allaire.
RStudio is available in two editions:
• RStudio Desktop, where the program is run locally as a regular desktop
application.
• RStudio Server, which allows accessing RStudio using a web browser while it is
running on a remote Linux server.
RStudio is available in open source and commercial editions and runs on the
desktop (Windows, macOS, and Linux) or in a browser connected to RStudio Server
or RStudio Server Pro (Debian, Ubuntu, Red Hat Linux, CentOS, openSUSE and SLES).
Rstudio is written in Java, C++, JavaScript.
Website : www.rstudio.com
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Steps for Data Analysis with R
Program: R is a clear and accessible programming tool.
Transform: R is made up of a collection of libraries designed specifically for data
science.
Discover: Investigate the data, refine your hypothesis and analyze them.
Model: R provides a wide array of tools to capture the right model for your data.
Communicate: Integrate codes, graphs, and outputs to a report with R Markdown or
build Shiny apps to share with the world.
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Features of R
 Open Source
 Integrating with other Programming Language
 OS Independence
 Command line Driven
 Powerful, easy to learn syntax with many built in statistical functions
 Effective data handling and storage facility
 Provides a large, coherent and integrated collection of tools for data analysis
 Provides a suite of operators for calculations on arrays, lists, vectors and matrices
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Applications of R
 Geosciences
 Water resources
 Environmental science
 Agriculture and soil science
 Mathematics and statistics
 Ecology
 Geodesy
 The exploitation of fossile fuels
 Meteorology Hom
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Installing R & RStudio on Windows PC
 Steps for Installing R on Windows PC :
Open an internet browser and go to ”www.r-project.org”.
Click the "download R" link in the middle of the page under "Getting Started."
Select a CRAN location (a mirror site) and click the corresponding link.
Click on the "Download R for Windows" link at the top of the page.
Click on the "install R for the first time" link at the top of the page.
Click "Download R for Windows" and save the executable file somewhere on your
computer. Run the .exe file and follow the installation instructions.
Now that R is installed, you need to download and install RStudio.
Steps for Installing RStudio on Windows PC :
Go to ”www.rstudio.com” and click on the "Download RStudio" button.
Click on "Download RStudio Desktop“.
Click on the version recommended for your system, or the latest Windows version,
and save the executable file. Run the .exe file and follow the installation
instructions. Hom

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