**Perfect data structures assignment help**

**What is Data Structure?**

The data structure name indicates itself that organizing the data in memory. There are many ways of organizing the data in the memory as we have already seen one of the data structures, i.e., array in C language. Array is a collection of memory elements in which data is stored sequentially, i.e., one after another. In other words, we can say that array stores the elements in a continuous manner. This organization of data is done with the help of an array of data structures. There are also other ways to organize the data in memory. Let’s see the different types of data structures.

The data structure is not any programming language like C, C++, java, etc. It is a set of algorithms that we can use in any programming language to structure the data in the memory.

To structure the data in memory, ‘n’ number of algorithms were proposed, and all these algorithms are known as Abstract data types. These abstract data types are the set of rules.

Data Structure can be defined as the group of data elements which provides an efficient way of storing and organizing data in the computer so that it can be used efficiently. Some examples of Data Structures are arrays, Linked List, Stack, Queue, etc. Data Structures are widely used in almost every aspect of Computer Science i.e. Operating System, Compiler Design, Artificial intelligence, Graphics and many more.

Data Structures are the main part of many computer science algorithms as they enable the programmers to handle the data in an efficient way. It plays a vital role in enhancing the performance of a software or a program as the main function of the software is to store and retrieve the user’s data as fast as possible

**Basic Terminology in Data structures.**

Data structures are the building blocks of any program or the software. Choosing the appropriate data structure for a program is the most difficult task for a programmer. Following terminology is used as far as data structures are concerned.

**Data:** Data can be defined as an elementary value or the collection of values, for example, student’s name and its id are the data about the student.

**Group Items:** Data items which have subordinate data items are called Group item, for example, name of a student can have first name and the last name.

**Record:** Record can be defined as the collection of various data items, for example, if we talk about the student entity, then its name, address, course and marks can be grouped together to form the record for the student.

**File:** A File is a collection of various records of one type of entity, for example, if there are 60 employees in the class, then there will be 20 records in the related file where each record contains the data about each employee.

**Attribute and Entity:** An entity represents the class of certain objects. it contains various attributes. Each attribute represents the particular property of that entity.

**Field:** Field is a single elementary unit of information representing the attribute of an entity.

**Types of Data Structures**

There are two types of data structures:

- Primitive data structure
- Non-primitive data structure

**Primitive Data structure**

The primitive data structures are primitive data types. The int, char, float, double, and pointer are the primitive data structures that can hold a single value.

**Non-Primitive Data structure**

The non-primitive data structure is divided into two types:

- Linear data structure
- Non-linear data structure

**Linear Data Structure**

The arrangement of data in a sequential manner is known as a linear data structure. The data structures used for this purpose are Arrays, Linked list, Stacks, and Queues. In these data structures, one element is connected to only one another element in a linear form.

When one element is connected to the ‘n’ number of elements known as a non-linear data structure. The best example is trees and graphs. In this case, the elements are arranged in a random manner.

**Data structures can also be classified as:**

**Static data structure:**It is a type of data structure where the size is allocated at the compile time. Therefore, the maximum size is fixed.**Dynamic data structure:**It is a type of data structure where the size is allocated at the run time. Therefore, the maximum size is flexible.

**Major Operations**

The major or the common operations that can be performed on the data structures are:

**Searching:**We can search for any element in a data structure.**Sorting:**We can sort the elements of a data structure either in an ascending or descending order.**Insertion:**We can also insert the new element in a data structure.**Updating:**We replace each element on the Web page with another element.**Deletion:**Delete operation has been already implemented in the API of API Tracker, which is related to Teradata..

**Which Data Structure?**

A data structure is a way of organizing the data so that it can be used efficiently. Here, we have used the word efficiently, which in terms of both the space and time. For example, a stack is an ADT (Abstract data type) which uses either arrays or linked list data structure for the implementation. Therefore, we conclude that we require some data structure to implement a particular ADT.

An ADT tells **what** is to be done and data structure tells **how** it is to be done. In other words, we can say that ADT gives us the blueprint while data structure provides the implementation part. Now the question arises: how can one get to know which data structure to be used for a particular ADT?.

As the different data structures can be implemented in a particular ADT, but the different implementations are compared for time and space. For example, the Stack ADT can be implemented by both Arrays and linked list. Suppose the array is providing time efficiency while the linked list is providing space efficiency, so the one which is the best suited for the current user’s requirements will be selected.

**Advantages of Data structures**

**The following are the advantages of a data structure:**

**Efficiency:**If the choice of a data structure for implementing a particular ADT is proper, it makes the program very efficient in terms of time and space.**Reusability:**The data structure provides reusability means that multiple client programs can use the data structure.**Abstraction:**The data structure specified by an ADT also provides the level of abstraction. The client cannot see the internal working of the data structure, so it does not have to worry about the implementation part. The client can only see the interface.

**Need of Data Structures**

As applications are getting complexes and amount of data is increasing day by day, there may arise the following problems: **Processor speed:** To handle very large amount of data, high speed processing is required, but as the data’s growing day by day to the billions of files per entity, processor may fail to deal with that much amount of data.

**Data Search:** Consider an inventory size of 106 items in a store, If our application needs to search for a particular item, it needs to traverse 106 items every time, results in slowing down the search process.

**Multiple requests:** If thousands of users are searching the data simultaneously on a web server, then there are the chances that a very large server can be failed during that process

in order to solve the above problems, data structures are used. Data is organized to form a data structure in such a way that all items are not required to be searched and required data can be searched instantly.

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