Disaggregation is the process of dividing data into smaller, more specific subsets. It involves breaking down a large data set into more detailed information that can be analyzed and understood to identify patterns, trends, and relationships between variables. Disaggregated data is typically more informative and valuable than aggregated data because it provides more detailed information at a granular level. Disaggregation is often used in statistical analysis and data modeling to explore relationships between variables and develop predictions or forecasts based on the underlying data. The process of disaggregation typically involves the use of statistical methods or data visualization tools to break down data into smaller components for further analysis and interpretation.
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