In statistics, aggregate data are data combined from several measurements. When data are aggregated, groups of observations are replaced with summary statistics based on those observations.[1]
In a data warehouse, the use of aggregate data dramatically reduces the time to query large sets of data. Developers pre-summarize queries that are regularly used, such as Weekly Sales across several dimensions such as by item hierarchy or geographical hierarchy.
In economics, aggregate data or data aggregates are high-level data that are composed from a multitude or combination of other more individual data, such as:
- in macroeconomics, data such as the overall price level or overall inflation rate; and
- in microeconomics, data of an entire sector of an economy composed of many firms, or of all households in a city or region.
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✪ How to aggregate data in SPSS (Data Aggregation)
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✪ The Aggregate Function in SPSS
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✪ Aggregate data
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References
- ^ Aggregation and Restructuring of data (chapter 5.6 from the book "R in Action", Manning Publications)
This page was last edited on 7 February 2019, at 00:42