**What is Data Structure?** In the world of programming, there are many easy ways to solve problems. Terms like **programming algorithm** and data structures are familiar to *programmers* when discussing solutions to programming problems.

If *data structure* is good, complex problems can be solved so that this will affect the efficiency of the algorithm. It can be seen that *data structure* has a crucial role.

Then, what is data structure? For more details, you can see further explanation in the following article!

## What is Data Structure?

So, what is data structure? A data structure is a way to organize and organize data into a special format provided by a computer.

*Data structures* also serve to organize, process, store and retrieve in a faster and more effective way. In essence, a data structure is an easy way to retrieve and create data.

This convenience is also due to the technical *data structure* well structured. Starting from a column that has numbers, symbols, letters and other formats. For one ** programmer, **the data structure is one of the important components to make a program.

Meanwhile, according to *data science, *data structures are a way to effectively and efficiently update, manage, and index services on the internet.

The data structure is a method that is also widely used by *data science*, this is because the algorithm is able to filter and sort large amounts of data. Inner arrangement *data structure* influenced by three important things, namely, *pointer, *memory address, and procedure.

Each component in *data structure* this will be explained in more detail below.

*The memory address*is a fixed raw data element of the desired feature or function*The pointer*is the part of the data structure that represents the location of the memory address- Procedures are code in written form that functions to manipulate and create different functions within the structure, either automatically or manually.

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## Data Structure Types

*Data structures* have several types and functions, the following is an explanation.

### 1. Vector

*Vector* is one type of data structure that is homogeneous. This means *vector* has the same element and type. These data types have numeric, integer, character, complex and logical formats.

### 2. Matrix

The next type of data structure is a *matrix*. The *Matrix* has a function to store data stored in an organized form, namely, the form of rows and columns.

The matrix is also commonly used for computer graphics in three-dimensional form to a two-dimensional screen with the shape of an *array*.

This type of data structure is also a representation of rows and columns to maintain homogeneous data or also known as *array* two dimensions.

### 3. Arrays

The next type of data structure is the *array*. *Arrays* are *data structure* which is fundamental and is determined by the type of consecutive data elements. *Arrays* can have a fixed length or be resized as needed.

This type of data structure serves to allow data elements to remain the same and uses integer indexes that serve as pointers and procedures.

These instructions are commonly used for mathematical formulas or for calculating certain data. As a type of data structure, the *array* is great for accessing data generated in random form.

### 4. Series

The series is a type of data structure that serves to store any type of data, such as, *integer, string, float, python object,* and so forth.

### 5. Dataframes

*Dataframes* have two-dimensional labels with potentially different column types. *Dataframes* this can be considered as *spreadsheet*, *dataframes* accepts various types of inputs such as, dictation from 1D ndarrays, lists, dictation, or series, 2-D numpy, ndarray, Series A, and other *frames*.

### 6. Table

Type of data structure *table* has an important role to find the required information. The table serves to lock each data. So with *table *can search and get data more efficiently.

### 7. Factor

*The Factor* used to retrieve a number of values taken from the data object used to create data categories and store with various levels.

*Factor* can store data with value *integer* and *strings *can also be used as a column with a limited number of unique values.

### 8. List

The next type of data structure is a List. Especially if it is used for *python* in project creation. Each item in the List has a unique order of identification.

### 9. Dictionary

*The dictionary* is the next type of data structure. Usually this type has a set of keys and each key has one associated value. *Dictionary* It is also used to find values quickly.

### 10. Tuples

The last type of data structure is *tuple*. Has limited functions, characteristics *tuple* is that it cannot be modified, added, or removed once it is created.

Register on *tuple* defined by using brackets and equipped with elements separated by commas.

## Example of Data Structure

An example of a data structure is a search engine. With search engines we can find examples of data structures. However, *data structure* The most commonly used for search engines is an Array.

Search engines will usually store web pages related to the search in the form of an Array. Every time we do a search, various related results will be displayed on the search engine in the form of an Array.

The next example of a data structure is *Playlists*. *Playlists* use *data structure* in list form. Usually playlists are found in music streaming applications, and are created algorithmically to get playlists that rotate automatically.

*Playlists* follows a linear line, usually there is also a pointer before (*previous*) and next (*next*) which allows looping without manual restart.

## Benefits of Data Structures

*Data structures* become one of the most important ways of programming. D*ata structures* also have many benefits, especially for learning programming. The following are some of the benefits of data structures that you need to know, friend!

*Data structures*can be used to make commands in programming languages easily.- Makes it easy to store and organize data to be more efficient, neat and organized.
- Can be used to provide information quickly and easily, and can be done between applications.
- Improve the effectiveness and quality of the algorithm.
- Be the solution to the coding problem to be faster in finding errors.
- Manage resources and services on the system.
- Can be used to index objects stored in the database.
- Increases search speed because
*data structure*has an index. - Manage and store data on all data storage (
*big data*) so that the quality and capacity can be increased.

This is the explanation about *data structure* and the kind, bro! In essence, data structures are important things in programming whose purpose is to organize data so that it is easier and faster to use.