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Types of Data Based on Structure
Data can also be classified according to how it is organised or structured. This helps determine how easily it can be stored,
processed, and analysed.

Types of Data Based
on Structure

Semi-structured Unstructured
Structured Data
Data Data

The description of these types are as follows:

u Structured data: This is like a neatly arranged table, with rows and columns that make it easy to understand and work
with. It includes information such as names, dates, addresses, and stock prices. Because of its organised nature, it is
straightforward to analyse and manipulate, making it a preferred format for many data-related tasks.
u Semi-structured data: This falls somewhere between structured and unstructured data. While not as organised
as structured data, it is easier to handle than unstructured data. Semi-structured data uses metadata to identify
certain characteristics and organise data into fields, allowing some level of organisation and analysis. An example of
semi-structured data is an email. Emails contain structured elements such as the sender, recipient, timestamp, and
subject line, which follow a predictable format. However, the body of the email itself is unstructured, as it can contain
free-form text, images, and attachments.
u Unstructured data: Unstructured data refers to information that lacks a predefined data model or is not organised in a
systematic manner. This absence of specific organisation makes it more challenging to analyse compared to structured
data. Examples include images, text documents, customer comments, and song lyrics. Extracting meaningful insights
from unstructured data requires specialised tools and techniques due to its varied formats and lack of predefined
structure.

Structured Data Semi-structured Data Unstructured Data
Often number or labels, stored Loosely organised into Text-heavy information that's
in a structured framework of categories using meta tags. not organised in a clearly
columns and rows relating to defined or model.
pre-set parameters.

ID ID CODES IN DATABASES EMAILS IN INBOX, SENT, DRAFT MEDIA POSTS, EMAILS, ONLINE REVIEWS

NUMERICAL DATA GOOGLE SHEET TWEETS ORGANISED BY HASHTAGS VIDEOS, IMAGES
STAR RATINGS FOLDERS ORGANISED BY TOPIC SPEECH SOUNDS

Basic Concepts of Artificial Intelligence 21