What is the process of breaking down complex data into smaller components called?

The process of breaking down complex data into smaller components is known as decomposition. This method allows for a thorough analysis of the data by simplifying it into its fundamental parts, making it easier to understand and work with. Decomposition is often used in various fields, such as mathematics and computer science, to facilitate problem-solving and data analysis.

By systematically breaking down a problem or dataset, one can identify patterns, relationships, and underlying structures, which helps in drawing conclusions or developing solutions. This process emphasizes understanding the individual components before assessing the larger whole, enhancing clarity and comprehension.

In contrast, subdivision typically refers to dividing a whole into parts based on certain criteria but does not inherently involve the deep analytic process that decomposition does. Integration, on the other hand, is about combining components into a unified whole, while classification is focused on categorizing data into distinct groups based on shared characteristics. Each of these concepts serves a different function within data analysis and may not specifically address the breakdown of complexity in the same way decomposition does.