# R Programming Language

We all know how crazy data science is nowadays. We hear a lot about data science projects and more job openings in that field. Data Science is considered the most significant part of a company as it can give future insights based on the data provided.



The R programming language plays a crucial role in processing a large amount of data and performing statistical analysis. There are many tools in data science which we will look at later in other blogs.



### So ... What is R?

R is both an environment and a language. It's an environment in the sense that it's an integrated suite of software packages and data that basically enable the R language. The R language in turn allows you to perform statistical analysis and data mining techniques such as the use of probability distributions, hypothesis testing, creating linear models, aggression, logistic regression, non-linear models and so on. 



R is very versatile and it covers a whole range of statistical techniques and algorithms when it comes to data mining as well as analysis. Also, R allows you to create complex graphs, so you can generate simple one-dimensional graphs or create more sophisticated graphs like two-dimensional or multi-dimensional graphs. 



### Data types:

R has 6 basic data types.

- character

- numeric 

- integer

- logical

- complex



**Character Datatype:**







The char type in R consists of alphabets and special characters. It stores the character value or strings. The best way to declare a char value is to wrap the value inside a single or double inverted comma.

```

char = "Quasar Community"

print(class(char))



//OUTPUT :-

"character"

```

**Numeric Datatype:**





The numeric data type is decimal values. The default data type for numbers in R is a numeric data type. If we assign a decimal value to a variable x, then it will be of numeric type.



```

x= 10

print(class(x))



//OUTPUT :-

"numeric"

```

**Integer Datatype:**





The integer data type consists of all integers. One can create as well as convert a value into an integer using the as.integer() function.



```

X= as.integer(10)

print(class(x))



//OUTPUT :-

"integer"

```

**Logical Datatype:**





The logical datatype takes the value true or false. This type of variable is created as a result of comparing two other variables.



```

x=4

y=4



z=x>y



print(z)

print(class(z))



//OUTPUT :-

TRUE

"logical"

```

**Complex Datatype:**





Complex data types are a set of all complex numbers. The complex data type is used to store numbers with an imaginary component.



```

x= 4+3i

print(class(x))



 //OUTPUT :-

"complex"

```



### How to find the data type of an object:



In order to find the data type of an object, one has to use the *class()* function. The syntax for doing so is mentioned below.



**syntax:**



*class(object)*



```

# to find the data type of an object

 

# Logical

print(class(TRUE))

 

# Integer

print(class(3L))

 

# Numeric

print(class(10.5))

 

# Complex

print(class(1+2i))

 

# Character

print(class("12-04-2020"))



//OUTPUT :-

"logical"

"integer"

"numeric"

"complex"

"character"

```