Types of Data
Data Types
Data types refer to the classification of data items. They define the kind of value a variable holds and what operations can be performed on that data. Understanding data types is crucial in data management and governance, as it impacts data storage, processing, and analysis.
1. Primitive Data Types
These are the most basic types of data that cannot be broken down into simpler forms. Common primitive data types include:
Integer: Represents whole numbers.
Float: Represents numbers with decimal points.
Boolean: Represents true or false values.
Character: Represents a single character, such as 'A' or 'b'.
String: Represents a sequence of characters, such as "Hello, World!"
2. Composite Data Types
Composite data types are constructed from primitive data types. They can hold multiple values and are often used to create more complex data structures. Common composite data types include:
Array: A collection of elements identified by index or key.
List: An ordered collection of items that can hold duplicate values.
Tuple: An ordered collection of items that is immutable.
Dictionary: A collection of key-value pairs where keys are unique.
3. User-Defined Data Types
These types allow users to define data structures that suit their specific needs. User-defined data types enhance data organization and communication within the application, and they include:
Struct: A structure that groups different types of data.
Class: A blueprint for creating objects that encapsulate data and methods.
4. Temporal Data Types
Temporal data types are used to represent date and time data. They include:
Date: Represents a specific date.
Time: Represents a specific time.
Timestamp: Combines date and time data.
5. Spatial Data Types
These types are designed to handle spatial data such as location-based information. Examples include:
Point: Represents a single coordinate in 2D or 3D space.
Line: Represents a series of points connected in space.
Polygon: Represents a multi-point structure that forms a closed shape.