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  2. Aggregate data - Wikipedia

    en.wikipedia.org/wiki/Aggregate_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. [1] Aggregate data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data.

  3. Data aggregation - Wikipedia

    en.wikipedia.org/wiki/Data_aggregation

    The United States Geological Survey explains that, “when data are well documented, you know how and where to look for information and the results you return will be what you expect.” [2] The source information for data aggregation may originate from public records and criminal databases.

  4. Educational data mining - Wikipedia

    en.wikipedia.org/wiki/Educational_data_mining

    While the analysis of educational data is not itself a new practice, recent advances in educational technology, including the increase in computing power and the ability to log fine-grained data about students' use of a computer-based learning environment, have led to an increased interest in developing techniques for analyzing the large amounts of data generated in educational settings.

  5. Microdata (statistics) - Wikipedia

    en.wikipedia.org/wiki/Microdata_(statistics)

    For instance, if statistics for education and employment are aggregated separately, they cannot be used to explore a relationship between these two variables. Access to microdata allows researchers much more freedom to investigate such interactions and perform detailed analysis.

  6. Statistics education - Wikipedia

    en.wikipedia.org/wiki/Statistics_education

    Statistics education is the practice of teaching and learning of statistics, along with the associated scholarly research.. Statistics is both a formal science and a practical theory of scientific inquiry, and both aspects are considered in statistics education.

  7. Subsidy Scorecards: Eastern Washington University

    projects.huffingtonpost.com/projects/ncaa/...

    SOURCE: Integrated Postsecondary Education Data System, Eastern Washington University (2014, 2013, 2012, 2011, 2010). Read our methodology here. HuffPost and The Chronicle examined 201 public D-I schools from 2010-2014. Schools are ranked based on the percentage of their athletic budget that comes from subsidies.

  8. Schools Interoperability Framework - Wikipedia

    en.wikipedia.org/wiki/Schools_Interoperability...

    The specification comprises two parts: an XML specification for modeling educational data which is specific to the educational locale (such as North America, Australia or the UK), and a service-oriented architecture (SOA) based on both direct and brokered RESTful-models for sharing that data between institutions, which is international and ...

  9. Subsidy Scorecards: Prairie View A & M University

    projects.huffingtonpost.com/projects/ncaa/...

    SOURCE: Integrated Postsecondary Education Data System, Prairie View A & M University (2014, 2013, 2012, 2011, 2010). Read our methodology here. HuffPost and The Chronicle examined 201 public D-I schools from 2010-2014. Schools are ranked based on the percentage of their athletic budget that comes from subsidies.