The digital world we live in has given companies and people access to staggering amounts of data, and anyone that can make use of that to drive valuable insights stands to benefit. The ability to work with large amounts of data is becoming a standard requirement for countless jobs across multiple industries.

Enter R, probably the most well-known language for data analysis. It's been used for years due to its robust statistical functionality, outstanding graphing ability, and extensibility through packages.

This interactive course will get you up to speed and assumes no prior knowledge of R. You'll start with the very basics and work your way up to advanced concepts like exception handling. By the time you're done, you'll be able to write detailed, useful code in R yourself.

Learn R from Scratch

# Basic Data Types in R
> Everything in R is an **object**.

R is a language designed to store, manipulate, and work with _Data_. Thus, it makes sense to make all utilities of R an **object** that stores _data_.

In every computer language, **variables** are used for accessing data stored in memory. R does not provide direct access to the computer’s memory but rather provides several specialized **data structures** referred to as **objects**. These objects can be symbols, variables, functions, etc.

Let's begin with discussing the basic data types in R, declaring variables and more.

Getting Started

Variables

Exploring R Objects

R Operators and Notation

Conditional Statements

Loops

Functions

Input/Output

Exception Handling

Classes

Fun Challenges

Conclusion

Data Types

Basic Data Types in R