R Introduction

R Introduction

R is a powerful programming language and software environment mainly used for statistics, data analysis, and data visualization.
It is widely used by data analysts, statisticians, researchers, and data scientists.

 What is R?

• R is an open-source programming language

• Designed for statistical computing & graphics

• Developed by Ross Ihaka and Robert Gentleman

• Based on the S programming language

 R is both:

• a language

• a software environment

 Why Use R?

•  Excellent for data analysis
•  Powerful statistical functions
•  High-quality graphs & charts
•  Huge collection of packages
•  Free & open source

 Where is R Used?

•  Data Analysis

•  Statistics & Mathematics

•  Machine Learning

•  Bioinformatics

•  Finance & Economics

•  Research & Academia

 Features of R

• Interpreted language

• Vectorized operations (fast calculations)

• Built-in plotting tools

• Rich package ecosystem (CRAN)

• Works on Windows, Linux, macOS

 R vs Other Languages (Quick View)

 Installing R & RStudio

• R → core language

• RStudio → IDE (recommended)

 Always install R first, then RStudio.

 First R Program

Output:

 Basic Concepts in R

You will learn:

• Variables

• Data types

• Vectors

• Operators

• Functions

• Loops & conditions

• Data frames

 R is Case-Sensitive

• x and X are different variables

 Advantages of R

•  Free & open source
•  Best for statistics
•  Large community
•  Academic & industry usage

 Limitations of R

•  Slower for very large data
•  Uses more memory
•  Not ideal for web/mobile apps

 R for Exams & Interviews

Commonly asked topics:

• What is R?

• Features of R

• Difference between R and Python

• Applications of R

• Data types in R

Interview Questions & MCQs

Q1. What is R?

A) Database
B) Programming language
C) Operating system
D) Web server

Answer: B

Q2. R is mainly used for?

A) Web development
B) Game development
C) Data analysis & statistics
D) Mobile apps

Answer: C

Q3. R is:

A) Paid
B) Open source
C) Closed source
D) Licensed only

Answer: B

Q4. Is R case-sensitive?

A) Yes
B) No

Answer: A

Q5. Which IDE is commonly used with R?

A) VS Code
B) Eclipse
C) RStudio
D) NetBeans

Answer: C

 Real-Life Use Cases

• Data science projects
• Statistical reports
• Research papers
•  Business analytics
•  Machine learning models

 Summary

• R is a statistical programming language

• Best for data analysis & visualization

• Open source and powerful

• Case-sensitive language

• Widely used in academics & industry

• Very important for exams & interviews