Aggregate: meaning, definitions and examples

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aggregate

 

[ ˈaɡrɪɡət ]

Context #1

data processing

To collect and combine data from multiple sources into a single dataset for analysis.

Synonyms

combine, compile, consolidate, merge

Examples of usage

  • The software program can aggregate data from various sources such as databases and spreadsheets.
  • Our team needs to aggregate the sales data from different regions to identify trends.
  • Aggregating information from different surveys can provide a comprehensive view of customer preferences.
Context #2

grouping

To form or group things together into a single unit or mass.

Synonyms

amass, assemble, combine, unite

Examples of usage

  • The students will aggregate into teams to work on the group project.
  • The company decided to aggregate its various departments under one management structure.
  • We need to aggregate our resources to address this common goal effectively.
Context #3

economics

The total amount or sum of different elements or components.

Synonyms

overall, sum, total, whole

Examples of usage

  • The aggregate demand in the market determines the level of economic activity.
  • The aggregate income of the population has increased over the past year.
  • GDP measures the aggregate value of goods and services produced in a country.

Translations

Translations of the word "aggregate" in other languages:

🇵🇹 agregar

🇮🇳 संकलित करना

🇩🇪 aggregieren

🇮🇩 mengumpulkan

🇺🇦 агрегувати

🇵🇱 agregować

🇯🇵 集計する (しゅうけいする)

🇫🇷 agréger

🇪🇸 agregar

🇹🇷 toplamak

🇰🇷 집계하다

🇸🇦 يجمع

🇨🇿 agregovat

🇸🇰 agregovať

🇨🇳 聚集 (jùjí)

🇸🇮 združevati

🇮🇸 safna

🇰🇿 жинақтау

🇬🇪 გაერთიანება

🇦🇿 cəmləmək

🇲🇽 agregar

Word origin

The word 'aggregate' originated from the Latin word 'aggregatus', which means 'to add to'. It first appeared in English in the late 16th century. Initially used in the context of 'formed by the collection of units or particles', its usage has evolved over time to encompass various fields such as data processing, economics, and grouping. The concept of aggregation remains central in fields like statistics, economics, and computer science for combining and analyzing data.

See also: aggregation.