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  2. Aggregation is a function that allows key figure values on detail level to be automatically summed up at runtime, and then shown or planned on an aggregated level. Disaggregation is a function that automatically provides the details of a key figure value from the aggregrated to the detail level.
    tipsfolder.com/difference-between-aggregated-disa…
    Aggregate data combines and summarizes information, whereas disaggregate data separate aggregated data into separate points or pieces of information. Disaggregating data might help gain a deeper understanding of various subsets within a larger dataset.
    dataconomy.com/2022/03/31/what-is-aggregate-data/
     
  3. People also ask
    What is the difference between aggregate and Microdata?Microdata stand in contrast to more familiar "summary" or "aggregate" data. Aggregate data are compiled statistics, such as a table of marital status by sex for some locality. Microdata are inherently flexible. One need not depend on published statistics from a census that compiled the data in a certain way, if at all.
    What is aggregate data?Aggregation refers to a data mining process popular in statistical analysis. Information is only viewable in groups and as part of a summary, not per the individual. When data scientists rely on aggregate data, they cannot access the raw information. Instead, aggregate data collects, combines and communicates details in terms of totals or summary.
    What is the difference between aggregate data and individual data?Aggregate data is high-level data which is acquired by combining individual-level data. For instance, the output of an industry is an aggregate of the firms’ individual outputs within that industry. Aggregate data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data.
    What are the different types of data aggregation?There are mainly 2 types of Data Aggregation: In a Manual Data Aggregation approach, the data is aggregated manually by employees. A Data Aggregation Tool is used to export the data from multiple sources and then all the data is sorted through an Excel sheet manually.
     
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    Aggregate data - Wikipedia

    Aggregate data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data. Aggregate data refers to individual data that are averaged by geographic area, by year, by service agency, or by other means. See more

    Aggregate data is high-level data which is acquired by combining individual-level data. For instance, the output of an industry is an … See more

    In statistics, aggregate data are data combined from several measurements. When data is aggregated, groups of observations are replaced with summary statistics based … See more

    Aggregate data can be a composition of various types of writings and records, including biography, autobiography, descriptive … See more

    Health care
    In a health information system, aggregate data is the integration of data concerning numerous patients. … See more

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    Researchers and analysts
    Researchers use aggregate data to understand the prevalent ethos, evaluate the essence of … See more

    Comparative political analysis
    Aggregate data is used in comparative political analysis because analysts do not only focus on individual’s behaviour. They also focus on the behaviour of areal units, including electoral constituencies and nations. In political … See more

    During the process of averaging units within some cluster or within a country, information is lost which increases the probability of drawing … See more

     
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