MATLAB – Data Types
MATLAB is a platform which provides millions of Engineers and Scientists to analyze data using programming and numerical computing algorithm and also help in creating models. Data types are particular types of data items defined by the values they can store in them, generally, in programming languages they are used.
Define data types in MATLAB
In MATLAB we do not require any type of declaration statement, when it gets any new variable name it creates the variable and allocates appropriate memory space to it but if the variable name already exists it will replace the original content with new content and allocate it to new storage space when required.
Syntax: variable name = a value (or an expression)
Example:
Matlab
% MATLAB code for variable initialization Geeks = 7; 
Output:
Data Types in MATLAB
In MATLAB data can be stored in different types, numeric, text, complex number, etc. To store these data MATLAB has different classes which have various characteristics. MATLAB provides a total of 16 fundamental data types.
Logic Type
Logic types are True and false values that are represented with the logical value 0 and 1. Any numerical value (noncomplex) can be converted into a logical representation.
Syntax:G = logical (x)
Example:
Matlab
% MATLAB code for random matrix generation rng default A = randi(5,5) % It will generate random matrix of 15x5 B = A < 9 % The result is a logical matrix. % Each value in B represents a logical 1 (true) % or logical 0 (false) state to indicate whether % the corresponding element of A fulfills the condition A < 9. % For example, A(1,1) is 13, so B(1,1) is logical 0 (false). % However, A(1,2) is 2, so B(1,2) is logical 1 (true). 
Output:
Char and String type
In MATLAB character and string array provide storage for text type data. The strings are character array compared with the sequence of numbers called a numeric array.
Syntax: s = ‘String’
Example:
Matlab
% MATLAB code for showing String results str = "Welcome to GeeksforGeeks, " "Welcome!" " and lets start coding." fprintf(str); 
Output:
Numeric Type
Integer and floatingpoint data are in this type with the following descriptions.
Data Type  Short Description  Features 
double  Doubleprecision arrays 
Negative numbers = 1.79769 x 10308 to 2.22507 x 10308 Positive numbers = 2.22507 x 10308 to 1.79769 x 10308 
single  Singleprecision arrays 
Negative numbers = 1.79769 x 10308 to 2.22507 x 10308 Positive numbers = 2.22507 x 10308 to 1.79769 x 10308 
int8  8bit signed integer arrays 

int16  16bit signed integer arrays 

int32  32bit signed integer arrays 

int64  64bit signed integer arrays 

uint8  8bit unsigned integer arrays 

unit16  16bit unsigned integer arrays 

uint32  32bit unsigned integer arrays 

uint64  64bit unsigned integer arrays 

Example:
Matlab
% MATLAB code for numeric type str = 'Hello World' ; int8(str) 
Output:
Table
The table contains rows and column variables. Each variable can be of different data types and different sizes, but each variable needs to have the same number of rows. Range of functions are used to access data to create, edit, and read the table data.
Syntax:T = table(ColumnName1,ColumnName2);
Example:
Matlab
% MATLAB code for Table T = table(Name,QuestionAttempted,CodingScore); data = { 'Atul Sisodiya' ,22,100}; Tnew = [Tnew;data]; 
Output:
Table array 2x3 Name QuestionAttempted CodingScore Atul Sisodiya 22 100
Cell
A cell array is a MATLAB data type that contains indexed data containers called cells. Cells can contain any type of data, commonly contain character vectors of different lengths, numbers, an array of numbers of any size. Sets of cells are enclosed in () and access to the cells is done by using {} which is to create, edit or delete any cell functions.
Syntax: c = { }
Example:
Matlab
C = {1, 2, 3} 
Output:
Structure
In structure data containers are used to group related data and their type, which are called fields. Fields may contain any type of data. In structures, Data is accessed using the dot notation.
Syntax: structname.fieldName
Example:
Matlab
geek(1).name = ( "Atul Sisodiya" ); geek(1).coding = 100; geek 
Output:
Function Handles
Function Handles is majorly used in MATLAB is to pass a function (numerical or char) to another function. Variables that are used to invoke function indirectly can be named as a Function handle.
To create a function handle ‘@’ operator is used.
Example: To create a function handle to evaluate x^2 + y^2, a function used is:
Output: