aggregation of data

USAGE SUMMARY

The phrase "aggregation of data" is correct and usable in written English.
It can be used when discussing the process of collecting and summarizing data from various sources for analysis or reporting purposes. Example: "The aggregation of data from multiple studies provides a more comprehensive understanding of the issue at hand."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

In the "anomaly" approach, the data analysis is aggregation of data, but these aggregated data are related to its external field and their pressures and influences by structuration to reconstruct the theory.

Business Research

And there are broader issues, especially to do with the aggregation of data and the handling of uncertainty, where his book is open to challenge.

The Economist

However, aggregation of data brings other advantages as well.

Large-scale Assessments in Education

In these studies longitudinal data were created by aggregation of data to the country level.

Large-scale Assessments in Education

This aggregation of data provided rich material for future analysis, particularly when tracking several cohort experiences.

International Journal for Educational Integrity

Methods: Aggregation of data from the available published studies using meta-analysis.

Maturitas

But basic math says the aggregation of data will ultimately consume more power than is being used today.

Forbes

The aggregation of data to the country level has the disadvantage that the number of units often becomes severely limited.

Large-scale Assessments in Education

Four-hundred million individuals' prescription and assessment records, medical imaging and blood records makes up for a vast and useful aggregation of data.

TechCrunch

There is a large aggregation of data or services on the back end, a small amount of data and bandwidth that you need to provide to it.

Forbes

The fuzzy integral provides a practical tool for many problems in engineering and social choice, where the aggregation of data is required.

Journal of Inequalities and Applications

Expert writing Tips

Best practice

Avoid using "aggregation of data" when simpler terms like "data collection" or "data compilation" suffice for clarity.

Common error

Avoid using "aggregation of data" to describe simply gathering data without a clear summarization or structured combination process.

Linguistic Context

The phrase "aggregation of data" primarily functions as a noun phrase. It refers to the process or result of combining data from various sources or levels. Ludwig AI's examples showcase its use in describing how data is combined for analysis or reporting.

Expression frequency: Very common

Frequent in

Science

58%

News & Media

22%

Formal & Business

20%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "aggregation of data" is a common and grammatically correct noun phrase used to describe the process of combining data, as validated by Ludwig AI. It is frequently employed in scientific, news, and business contexts. While interchangeable with terms like "data collection" or "data compilation", it specifically highlights the act of summarizing or combining data for analysis. When using this phrase, be mindful of the method of aggregation and the potential for loss of granularity. Ludwig AI's examples provide ample context for understanding its versatile applications.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data consolidation

Implies streamlining and simplifying data into a more manageable form.

data integration

Highlights the process of combining data from different sources into a unified view.

data collation

Highlights organizing data in a systematic way

data compilation

Emphasizes the act of assembling data into a structured format.

data merging

Focuses on combining datasets, often implying identical structure.

data collection

Focuses on the process of gathering data, a broader concept than just combining existing data.

data summarization

Highlights condensing larger sets of data into key points.

data synthesis

Emphasizes combining data to create new insights or understanding.

data accumulation

Focuses on the gradual gathering of data over time.

data amassing

Stresses the collection of a large quantity of data.

FAQs

How is "aggregation of data" used in research?

In research, "aggregation of data" refers to combining data points to derive meaningful insights, often to increase statistical power or identify trends across different groups or time periods. The method of aggregation should always be clearly defined.

What are some alternatives to saying "aggregation of data"?

Depending on the context, you can use alternatives such as "data collection", "data compilation", or "data integration".

Why is "aggregation of data" important in data analysis?

"Aggregation of data" is crucial because it allows for summarization of large datasets, making it easier to identify patterns, trends, and anomalies that might not be apparent when examining individual data points.

What are the potential pitfalls of "aggregation of data"?

Potential pitfalls include loss of granularity, introduction of bias if not done correctly, and the risk of drawing inaccurate conclusions if the aggregated data is not representative of the underlying population. Also ensure to always define the methodology used to aggregate the data.