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Aggregating Meaning: Definition, Examples, and Translations

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aggregating

[ˌæɡrəˈɡeɪtɪŋ ]

Definition

Context #1 | Verb

data analysis

Aggregating refers to the process of collecting and combining data from various sources to provide a comprehensive overview or summary. This technique is commonly used in statistics, data analysis, and reporting to distill large volumes of data into more manageable and interpretable formats. The aggregation can involve calculating sums, averages, and other statistical measures to present the data effectively. It is essential in various fields such as marketing, economics, and scientific research, where comprehensive data representation is crucial.

Synonyms

collecting, combining, consolidating.

Examples of usage

  • The team is aggregating sales data from all regional offices.
  • We are aggregating survey results to understand customer satisfaction.
  • The software is capable of aggregating data from multiple databases.

Translations

To see the translation, please select a language from the options available.

Interesting Facts

Data Science

  • In data science, aggregating refers to summarizing data points to gain insights, such as calculating averages or totals.
  • The process plays a critical role in statistical analyses, allowing researchers to identify patterns within large datasets.
  • Aggregate functions like SUM, AVG, and COUNT are foundational in database management systems for efficient data processing.

Economics

  • Economists use aggregating to analyze the economy by combining various economic indicators like GDP, unemployment rates, and inflation.
  • Aggregate demand represents the total demand for goods and services within an economy at a given time, influencing monetary policy decisions.
  • The concept helps in understanding macroeconomic trends and the health of an economy by evaluating the combined impact of numerous sectors.

Environmental Science

  • In ecology, aggregating is a common behavior among certain animal species, where individuals come together for migration, protection, or mating.
  • This phenomenon can enhance survival rates and promote social dynamics within species, showing the importance of community.
  • Aggregating behaviors also extend to various organisms, such as coral reefs, where different species come together to form complex ecosystems.

Psychology

  • In social psychology, aggregating attitudes or opinions can provide a clearer understanding of group behavior compared to individual assessments.
  • The aggregation of experiences influences consumer behavior, as people tend to rely on collective testimonials for decision-making.
  • Groupthink arises from poor aggregation when a group's desire for harmony leads to faulty decision-making and the loss of individual critical thinking.

Origin of 'aggregating'

Main points about word origin

  • The term comes from the Latin word 'aggregare,' meaning 'to add to,' which combines 'ad' (to) and 'grex' (flock).
  • The prefix 'ag-' indicates movement or direction, while 'greg' refers to gathering or flocking, vividly illustrating the concept of bringing together.
  • The usage of 'aggregating' in English dates back to the late 16th century, primarily in contexts relating to gathering items or ideas.

The term 'aggregate' originates from the Latin word 'aggregare', which means 'to add to' or 'to join'. This Latin term is a combination of 'ad-' meaning 'to' and 'gregare', which means 'to gather'. The use of aggregate in English dates back to the late 15th century. Initially, it was used in a more philosophical context to refer to things that are formed together into a whole. In time, its application expanded into fields like mathematics, statistics, and computer science, especially with the advent of data analysis. The verb form emerged to describe actions in the process of synthesis and combination, particularly related to data collection, showcasing its evolution in linguistic application.

Word Frequency Rank

At position #13,412, this word is part of sophisticated English vocabulary. It's useful for academic or professional contexts where precise language is needed.