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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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data aggregation

Grammar usage guide and real-world examples

USAGE SUMMARY

"data aggregation" is a correct and usable phrase in written English.
You can use it whenever you want to refer to the process of gathering and combining data from multiple sources. For example: "The data aggregation that we performed revealed patterns that were not previously evident."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Both schemes can be combined with other data aggregation schemes which deal with data aggregation between aggregator and sink.

Data aggregation has social implications as well.

News & Media

The New York Times

It covers the use of web analytics, data aggregation and data visualisation.

News & Media

The Guardian

The framework covers the use of digital tools including web analytics, data aggregation and data visualisation.

News & Media

The Guardian

She explains: Stereotyping is alive and well in data aggregation.

News & Media

The New York Times

Data aggregation and business intelligence can help executives collate knowledge and identify trends, but only if the requirement for service improvement is well defined.

News & Media

The Guardian

The idea here is that behavior can be modified through clever data aggregation and display.

d Data aggregation time.

Shortest data aggregation.

It's Actasronym for "avoidineutral Extinctions Engine".

News & Media

TechCrunch

EDA gives the energy of data aggregation.

Show more...

Expert writing Tips

Best practice

When discussing the process of combining data from various sources, use "data aggregation" to clearly convey the idea of consolidating information for analysis and reporting.

Common error

Be specific about the type of data and the purpose of the "data aggregation". Avoid vague statements like "we performed data aggregation" without specifying the data sources or the intended use of the aggregated data.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data aggregation" functions as a noun phrase, typically used as a subject or object in a sentence. Ludwig examples show its use in describing processes and schemes in various fields. As confirmed by Ludwig AI, it is grammatically correct and usable.

Expression frequency: Very common

Frequent in

Science

60%

News & Media

25%

Formal & Business

15%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "data aggregation" is a grammatically sound and frequently used noun phrase that describes the process of combining data from multiple sources. As Ludwig AI confirms, it is correct and usable in written English. Its primary contexts are in science, news, and formal business settings. While alternatives like "data pooling" or "data consolidation" exist, "data aggregation" provides a clear and widely understood term for this process. It is crucial to be specific about the data type and the purpose of aggregation to avoid vagueness. The frequency of examples in Ludwig's dataset underscores its common usage across diverse, authoritative sources.

FAQs

What is the meaning of "data aggregation"?

"Data aggregation" refers to the process of gathering and combining data from multiple sources into a summarized form for analysis and reporting.

How is "data aggregation" used in a sentence?

You can use "data aggregation" in a sentence like: "The company uses "data aggregation" techniques to analyze customer behavior".

What are some alternatives to "data aggregation"?

You can use alternatives like "data pooling", "data gathering", or "data consolidation" depending on the context.

Why is "data aggregation" important?

"Data aggregation" is important because it allows organizations to gain insights from large volumes of data, identify trends, and make informed decisions.

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Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: