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

A **Vector** is a basic data structure in R. It contains elements of the same type at each index. The data types can be 
* Logical
* Integer 
* Numeric 
* Character 
* Complex

## Creating Vectors
The keyword `vector()` is used to create a vector of a **fixed type** and **fixed length**.

A **Vector** is a basic data structure in R. It contains elements of the same type at each index. The data types can be 
* Logical
* Integer 
* Numeric 
* Character 
* Complex

# Creating Vectors
The keyword `vector()` is used to create a vector of a **fixed type** and **fixed length**.

Here, we will learn what vectors are in R and how to create them.

Getting Started

Variables

Exploring R Objects

R Operators and Notation

Conditional Statements

Loops

Functions

Input/Output

Exception Handling

Classes

Fun Challenges

Conclusion

Vectors

Creating Vectors