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introduction to
rstudio
05
Learning outcome
5.1 Introducing RStudio
5.2 Working with RStudio
5.3 Working Directory in RStudio
5.4 Quitting your RStudio Session
5.5 Closing RStudio
Till now, you have learnt about assessing data, forecasting data, and different methods of data collection in the
previous chapters. This chapter will introduce you to coding for data science using RStudio.
5.1 IntroducIng rStudIo
RStudio is a free and open-source Integrated Development Environment (IDE), used to develop programs for statistical
computing using R language. It provides a variety of robust tools and a platform that helps you develop programs
easily.
The RStudio is available in two formats, that are, RStudio Desktop and RStudio Server. RStudio Desktop is a standalone
software application that you need to download and install on your computer. On the other hand, RStudio Server runs
on remote server, which you can access using your web browser.
R language is a programming language, which was developed by Robert Gentleman and Ross Ihaka. The name R is
derived from the first letter of the names of the authors of the R language. The R language is mainly used by data
miners and statisticians for statistical analysis, graphics representation and visualising data. Nowadays, R has become
one of the most useful programming languages among the researchers, data analysts, and statisticians for retrieving,
analyzing, visualising, and presenting data.
Some of the important features of R language are:
• It is an interpreted programming language which means it does not require a compiler.
• It is a well-developed, simple, open-source, powerful, and highly extensible programming language.
• It contains a variety of tools for plotting, viewing history, debugging and managing your workspace.
• It has vast variety of built-in libraries and effective data handling facilities.
184 Touchpad Data Science-XI

