Data Structure 1

ADT

• Abstract Data Table
• Advanced Data Type
• Actual Data Type
• Abstract Data Type

is a method of organizing large amount of data more efficiently so that any operation on that data becomes easy.

• Data structure

• Data visualization
• Data mining
• Data analysis

Whenever we want to work with large amount of data, then

• organizing that data is very important.

• we rely solely on paper records.
• we only use manual calculations.
• we ignore the data altogether.

If that data is not organized effectively, it is very

• easy to access
• simple to analyze
• quick to interpret
• difficult to use

If that data is not organized effectively, it is very

• easy perform any task on that data.

• simple to perform any task on that data.

• quick to perform any task on that data.

• difficult to perform any task on that data.

If it is organized effectively then any operation can be performed

• Only some operations can be performed.
• No operations can be performed effectively.
• difficult on that data.

• easily on that data.

which of the following is applications of data structure?

• databases

• Web development frameworks
• Machine learning algorithms
• Operating system development

which of the following is applications of data structure?

• artificial intelligence

• compiler design

• blockchain

• numerical and statistical analysis

which of the following is application of data structure?

• artificial intelligence

• image and speech processing

• cryptography

• internet

The Need for Data Structures

• Data structures complicate data retrieval processes.
• Data structures organize data

  more efficient programs.

• More powerful computers more complex

  applications.

• More complex applications demand more

  calculations.