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A diagram showing the basic meaning of aggregate data, which is a combination of 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. [1]
An aggregate project plan (APP) is the process of creating development goals and objectives and using these goals and objectives to improve productivity as well as development capabilities. The purpose of this process is generally to ensure that each project will accomplish its development goals and objectives.
Aggregate planning is a marketing activity that does an aggregate plan for the production process, in advance of 3 to 18 months, to give an idea to management as to what quantity of materials and other resources are to be procured and when, so that the total cost of operations of the organization is kept to the minimum over that period.
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.
In macroeconomics, demand management it is the art or science of controlling aggregate demand to avoid a recession.. Demand management at the macroeconomic level involves the use of discretionary policy and is inspired by Keynesian economics, though today elements of it are part of the economic mainstream.
In the Keynesian cross diagram, the upward sloping blue line represents the aggregate expenditure for goods and services by all households and firms as a function of their income. The 45-degree line represents an aggregate supply curve which embodies the idea that, as long as the economy is operating at less than full employment, anything ...
Confusingly, Design Patterns uses "aggregate" to refer to the blank in the code for x in ___: which is unrelated to the term "aggregation". [1] Neither of these terms refer to the statistical aggregation of data such as the act of adding up the Fibonacci sequence or taking the average of a list of numbers.
Land-use forecasting undertakes to project the distribution and intensity of trip generating activities in the urban area. In practice, land-use models are demand -driven, using as inputs the aggregate information on growth produced by an aggregate economic forecasting activity.