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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
e
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
Hom
e
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.
Hom
e
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
Hom
e
Applications of R
 Geosciences
 Water resources
 Environmental science
 Agriculture and soil science
 Mathematics and statistics
 Ecology
 Geodesy
 The exploitation of fossile fuels
 Meteorology Hom
e
Advantages of R
Hom
e
Why to Learn R?
Hom
Home
Hom
R Alternatives
Hom
Hom
Hom
Hom
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
R Console Layout
Hom
RStudio Layout
Home
Hom
Thank You

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R presentation

  • 1.
  • 2. 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
  • 3. 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
  • 4. 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 e
  • 5. 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 Hom e
  • 6. 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. Hom e
  • 7. 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 Hom e
  • 8. Applications of R  Geosciences  Water resources  Environmental science  Agriculture and soil science  Mathematics and statistics  Ecology  Geodesy  The exploitation of fossile fuels  Meteorology Hom e
  • 10. Why to Learn R? Hom
  • 13. Hom
  • 14. Hom
  • 15. Hom
  • 16. 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