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1. Name-GouravKumar Sah
Stream-BBA-Global Business
Semester-3
Roll No-34442023013
Subject Name-R Programming & Data Analtics
Subject Code-MIC 303 (B)

2. is a powerful language for statistical computing and graphics.
This presentation will provide a for beginners,
covering key concepts, tools, and applications. By the end, you'll have a solid
foundation to start your journey in data analysis and visualization using R.

3. To begin your journey in ,
you need to install R and RStudio. R is the
language, while RStudio is an integrated
development environment (IDE) that
enhances your coding experience.
Familiarize yourself with the interface, as it
will be your main tool for writing and
executing R code.
Getting Started with R

4. Understanding is crucial in R. Key data types include , ,
, and . Each type serves different purposes, allowing you to
store and manipulate data effectively. Mastering these concepts will enable you to
write efficient and clean R code.

5. History and Overview of R and RStudio
History of R
1. Origins of R:
S Language: R traces its roots to the S programming
language, developed in the late 1970s by John Chambers and
others at Bell Laboratories (formerly AT&T, now part of
Nokia). S was designed for data analysis and statistical
computing.
Birth of R: R was created by Ross Ihaka and Robert
Gentleman in the mid-1990s at the University of Auckland,
New Zealand. They aimed to develop a free, open-source
implementation of S, which was both more accessible and
flexible. Initial Release: The first version of R was released in
1995. By 2000, R had gained substantial popularity, leading to
the formation of the R Core Team, a group of developers
responsible for the ongoing development of R.

6. One of R's greatest strengths is its ability to
create stunning
packages like
. Using
, you can generate a
variety of plots to represent your data
graphically. Visualization is essential for
interpreting results and communicating
insights effectively to your audience.
Data Visualization with R

7. In conclusion, R Programming offers a
versatile toolkit for beginners in data
analysis. By mastering the fundamentals,
you can explore advanced topics and
applications in . Continue
practicing and experimenting with R to
deepen your understanding and enhance
your analytical skills.
Conclusion and Next Steps

8. Thanks!