#          
## Overview
**Data types** are an essential part of programming. The ability to identify the different data types in a programming language makes it easier for a programmer to code.  The different data types mean that different data types can and can not do different things.

A variable helps store different data, which are of various types. We'll look at the different data types in the `R` language in this shot.

## Data types in R
There are five basic data types in ``R``:
1. ``character``: Strings. For example, ``'Theo'``, ``'R'``, ``'10'``, and so on.
2. ``integer``: Positive or negative. For example, ``10L``, ``-20L``, ``100L``, and so on.  The ``L`` tells ``R`` to store the value as an integer.
3. ``numerical``: Numbers. For example, ``1``, ``10``, ``1000``, and so on.
4. ``logical``: Boolean (``TRUE`` or ``FALSE``)
5. ``complex``: Complex numbers. For example,  ``5 + 2i``, ``10 - 5i``, and so on.

 

# character
name <- 'Theo'

# integer
x <- -10L

# numerical
y <- 200

# logical
a <- TRUE

# complex
z = 3 + 9i

name
x
y
a
z

## Checking the data type
In the `R` language, we use the ``class()`` function to check the data type of a variable.
### Code


# character
name <- 'Theo'

# integer
x <- -10L

# numerical
y <- 200

# logical
a <- TRUE

# complex
z = 3 + 9i

class(name)
class(x)
class(y)
class(a)
class(z)

Data types in R 

R has five basic data types: character, integer, numerical, logical, and complex. Use class() to check type.