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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.
Names and fine-level geographical data are removed, some data items are altered as necessary to make it impossible to identify individuals, and small ethnic categories are merged. [2] The International Household Survey Network has developed tools and guidelines to help interested statistical agencies improve their microdata management practices.
Aggregators who agree with information providers to extract data without using an OFX standard may reach a lower level of consensual relationship; therefore, "screen scraping" may be used to obtain account data, but for business or other reasons, the aggregator may decide to obtain prior consent and negotiate the terms on which customer data is ...
Data dissemination is the distribution or transmitting of statistical, or other, data to end users. [ 1 ] [ 2 ] There are many ways organizations can release data to the public, i.e. electronic format, CD-ROM and paper publications such as PDF files based on aggregated data.
An aggregate is a type of summary used in dimensional models of data warehouses to shorten the time it takes to provide answers to typical queries on large sets of data. The reason why aggregates can make such a dramatic increase in the performance of a data warehouse is the reduction of the number of rows to be accessed when responding to a query.
[1] [2] Two types of data are applicable in this step. STF3 data is aggregate data describing relatively small regions named block groups, and PUMS is disaggregate data covering a much larger area and reduced to a 5% sample. [3] [4] One challenge for this step is the extrapolation of census data may not be accurate.
USA TODAY contacted Shouse's attorneys on Friday but have not received a response. US Attorney for the Southern District of Texas Alamdar S. Hamdani (C) speaks during a news conference in Houston ...
The uncertain geographic context problem or UGCoP is a source of statistical bias that can significantly impact the results of spatial analysis when dealing with aggregate data. [ 17 ] [ 18 ] [ 19 ] The UGCoP is very closely related to the Modifiable areal unit problem (MAUP), and like the MAUP, arises from how we divide the land into areal units.