# Types of Data

Data is defined as a collection of a particular quantity. Different quantities are represented as a set. The primary data and secondary data are a source of data.

Singularity for data is called ‘datum’. Collection of data can be done in two ways:

• Census: a collection of data for every member of a group.
• Sample: a collection of data of selected members of a group.

Data are of two types:-

• Qualitative Data: They represent attributes. They depict a description that is observed which cannot be calculated.
• Quantitative Data: they are measured and cannot be observed. They can be calculated and be numerically represented.

## Types of Data Abstraction

Data Abstraction consists of complex data-structures. For easy retrieval of data & reduced compatibility, we use abstraction.

3 types of Abstraction:

• Physical: this a low-level data abstraction. It tells how the data is stored.
• Logical: this level stores information of data in the forms of the table.
• View: Highest-level data abstraction. Users can view the database in the forms of rows and columns.

## Types of Data Structure

Data structures are a way to store, organize, and function data in a particular order.

2 types of data structure:

• Primitive Data Structures: They are performed at the machine level, can be used to make non-primitive data structures. They are predefined and are specific.

Examples: Integer, float, character, pointers

• Non-Primitive Data Structures: These are derived data structures and cannot function without primitive data structures.

Examples: Arrays, Files, Lists

## Types of Data in Statistics

• Nominal Data: they are used to label variables without quantitative values.

Examples: Gender, hair color, nationalities

• Ordinal Data: they are used to maintain the order of a database.

Example: depending on your happiness, how are you feeling,

• Interval Data: it focuses on both order differences in variables of data. This allows measuring standard deviation and central tendency.

Example: Temperature in degree Celsius

• Ratio Data: It specifies order, differences, and has zero value. It cannot have a negative value.

Example: Height

## Types of Data Collection

Depending on the type of data, they are classified as:

• Primary Data: Data that is collected for the first time for a specific purpose. These data are original and pure.

Example: Census of India

• Secondary Data: Data that has been derived from the original content. It is impure as it has been statistically derived.

Example: Government of India Finance Report

## Types of Data Model

Data modeling is a process that is used by an organization to rebuild, design, visualize through a graphical interface.

3 types of models:

• Conceptual Data Models:  these are high-level, structures and concepts
• Logical Data Models: provides a relationship between data entities
• Physical Data Models: The internal layout database design
1. Types of Data Models in DBMS
• Hierarchical Model
• Network Model
• Entity-Relationship Model
• Relational Model
• Object-Oriented Data
• Associative Data Model

## Types of Data Analysis

The analysis is important to perform better and helps for decision-making.

4 types of data analysis vary from simple to complex methods.

• Descriptive Analysis
• Diagnostic Analysis
• Predictive Analysis
• Prescriptive Analysis

## Types of Data WareHouse

Data Warehousing is processed to collect and manage data from various sources. It is used to analyze and connect data.

3 types of Data Warehouses:

• Enterprise Data Warehouse: it is a centralized system that provides a support system throughout the process.
• Operational: It is used to store data when the data warehouse is not in support of needs.
• Data Mart: it is a small set of data warehouse.

## Types of Data Mining

Data mining is the process for finding valid and potentially useful patterns in huge data sets. It is a multi-disciplinary skill that uses machine learning, statistics, Artificial Intelligence, and database technology.

Types on which it can be implemented:

• Relational databases
• Data warehouses
• Advanced DB and information repositories
• Object-oriented and object-relational databases
• Transactional and Spatial databases
• Heterogeneous and legacy databases
• Multimedia and streaming database
• Text databases
• Text mining and Web mining

## Types of Data Entry

It is a work to enter specific data into a computer or device. To change the format of the desired data, here is where data entry comes into play.

Types:

• Image Data Entry
• E-commerce product data entry
• Remote Data Entry
• Textual Data Entry

## Types of Data Research

This type of data u collect will reflect the way you would manage.

There are 4 types:-

• Observational Data: data is collected through observation of a behavior activity.
• Experimental Data: data is collected through active intervention to measure when a variable is altered.
• Simulation Data: generated by operating real-time operations
• Derived Data: Creates new information by transformation by existing data.

## Types of Data in Cluster Analysis

Cluster analysis is done by collecting data points in such a way to characterize data in a specific way.

Types:

• Centroid Clustering
• Density Clustering
• Distribution Clustering
• Connectivity Clustering

## Types of Data in Computer

It represents the type of data that you want to use for computer processing. Different programming languages require different data types.

Types:

• Character
• Data
• String
• Number

## Types of Data Classification

It a process of organizing data in a relevant manner so that is protected against any threat.

Types:

• Content-Based Classification: includes reviewing files and documents
• Context-Based Classification: classifies files on metadata
• User-Based Classification: classifies files based on manual knowledge.

## Types of Data Analytics

It is a process of analyzing raw data to provide suitable information.

There are 4 different types of data analytics. The types vary from simpler to sophisticated process.

• Descriptive Analytics
• Diagnostic Analytics
• Predictive Analytics
• Prescriptive Analytics

## Types of Data Transmission

It is a process of transferring data from one device to another. Data transmitted can be in analog or digital form.

Types:

• Serial Transmission: Transmission is done bit-after-bit in an organized specific order. It can be furthered classified into:
1. Synchronous
2. Asynchronous
• Parallel Transmission: Can transmit multiple numbers of data, multiple times.

## Types of Data Visualisation

It is defined as data that can be elaborated through visuals like bar charts or graphs making it user-friendly.

Types:

• Temporal
• Hierarchical
• Network
• Multidimensional
• Geospatial

## Types of Data Flow Diagrams

It is a graphical presentation of data that makes it more informative and easier to understand.

Types:

• Logical: describes certain functionality of a given process
• Physical: describes the implementation of a logical data flow diagram

FAQs

✅ What do you mean by data?

Data is distinct pieces of information, usually formatted in a special way. … Since the mid-1900s, people have used the word data to mean computer information that is transmitted or stored. Strictly speaking, data is the plural of datum, a single piece of information

✅ What is a Data example?

Data is defined as facts or figures, or information that’s stored in or used by a computer. An example of data is information collected for a research paper. An example of data is an email

✅ What is Data short for?

Data is a plural of datum, which is originally a Latin noun meaning “something given.” Today, data is used in English both as a plural noun meaning “facts or pieces of information”

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