What is the difference between structured and unstruced data?

Structured data refers to information that is organized in a predefined format, typically in rows and columns, making it easily searchable and analyzable, such as data found in databases or spreadsheets. In contrast, unstructured data lacks a specific format or organization, making it more challenging to process and analyze; examples include text documents, images, videos, and social media posts. While structured data is often quantitative and can be easily queried, unstructured data is usually qualitative and requires more sophisticated methods for analysis, such as natural language processing or machine learning.