What is aggregate data?
Aggregate data refers to numerical or non-numerical information that is (1) collected from multiple sources and/or on multiple measures, variables, or individuals and (2) compiled into data summaries or summary reports, typically for the purposes of public reporting or statistical analysis—i.e., examining trends.
What is data aggregation example?
Here is an example of aggregate data in business: Companies often collect data on their online customers and website visitors. The aggregate data would include statistics on customer demographic and behavior metrics, such as average age or number of transactions.
Why is data aggregated?
Data aggregation is often used to provide statistical analysis for groups of people and to create useful summary data for business analysis. Aggregation is often done on a large scale, through software tools known as data aggregators.
What is aggregate data used for?
Aggregate data are mainly used by researchers and analysts, policymakers, banks and administrators for multiple reasons. They are used to evaluate policies, recognise trends and patterns of processes, gain relevant insights, and assess current measures for strategic planning.
What do you mean by aggregated?
1 : to collect or gather into a mass or whole The census data were aggregated by gender. 2 : to amount to (a whole sum or total) : total audiences aggregating several million people. aggregate.
What are aggregated results?
The aggregated result is the average of all collected data points, the single data points collected for each resource during the first polling period plus the single data points collected during the second polling period.
What is aggregation in data analysis?
Data aggregation is any process in which data is brought together and conveyed in a summary form. It is typically used prior to the performance of a statistical analysis.
What is aggregation in data mining?
Data aggregation is the process where data is collected and presented in a summarized format for statistical analysis and to effectively achieve business objectives. Data aggregation is vital to data warehousing as it helps to make decisions based on vast amounts of raw data.
What is the difference between aggregated and disaggregated data?
To aggregate data is to compile and summarize data; to disaggregate data is to break down aggregated data into component parts or smaller units of data.
What is disaggregation and aggregation?
Aggregation refers to the function whereby key figure values on detail level are automatically summed up at runtime and shown or planned on aggregated level. Disaggregation refers to the function that automatically provides the details of a key figure value from aggregrated level on detail level.
What does aggregate mean in math?
An aggregate function is a mathematical computation involving a range of values that results in just a single value expressing the significance of the accumulated data it is derived from. Aggregate functions are often used to derive descriptive statistics.
What is aggregate analysis?
Aggregate analysis determines the upper bound T(n) on the total cost of a sequence of n operations, then calculates the amortized cost to be T(n) / n. The accounting method is a form of aggregate analysis which assigns to each operation an amortized cost which may differ from its actual cost.
What are some examples of aggregated data?
Voter turnout by state or county. Individual voter records are not presented,just the vote totals by candidate for the specific region.
What is an example of aggregate data?
This data type is used to keep all related data together in a way that emphasizes the relationship of the data. Examples of aggregate data are strings, arrays, classes, and structures.
What is the definition of aggregate data?
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 microeconomics , data of an entire sector of an economy composed of many firms, or of all households in a city or region.
What is aggregate and disaggregate data?
To aggregate data is to compile and summarize data; to disaggregate data is to break down aggregated data into component parts or smaller units of data.