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What is the difference between structured and unstructured data?

A. Structured data generally takes up less storage space than unstructured data.
B. Unstructured data cannot normally be represented by rows and columns in a table, unlike structured data.
C. Unstructured data describes video data, whereas structured data describes image data.
D. Structured data is used much more often in data analytics projects.

Sagot :

GinnyAnsweridn

Final answer:

Structured data is organized in tables, while unstructured data lacks a specific format, making analysis challenging.


Explanation:

Structured data is organized in a predefined manner, often in tables with rows and columns, making it easier to store and analyze compared to unstructured data, which lacks a specific format. Structured data allows for efficient processing in databases, unlike unstructured data that can be challenging to analyze due to its unpredictable nature.

For instance, consider a structured database where each table contains specific types of information (e.g., movies, actors) in an organized manner, facilitating queries and relationships between data elements.

Quantitative data is typically structured, represented numerically, while qualitative data is unstructured, described in words, reflecting the distinction between these two types of data.


Learn more about Data Structuring here:

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