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Extensive data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "Extensive data" is correct and usable in written English.
It can be used to describe a large amount of information or data collected on a particular subject or topic. Example: "The research team analyzed extensive data from various sources to draw their conclusions."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Extensive data handling and computational facilities are available for the analysis and reduction of scientific data.

Extensive data from the literature have been analysed to test the validity of the model.

Extensive data cleaning was performed.

They gleefully blogged that the emails revealed extensive data manipulation.

News & Media

The Guardian

Together, Pratt and Mitchell collected extensive data regarding childhood development.

Encyclopedias

Britannica

This includes extensive data collection, self-evaluation and analysis.

Dr. Kocher has perhaps the most extensive data, on 59 young patients.

Eclipsing binaries also provide extensive data on stellar dimensions.

The method can parameterise the model without extensive data preparation.

An extensive data collection process was conducted for this study.

Despite the extensive data published about NLs, little is known regarding its structural organization.

Science & Research

Nature
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Expert writing Tips

Best practice

When describing the amount of data available, consider whether "extensive" accurately reflects the scope and depth needed for your analysis. Alternatives like "comprehensive" or "detailed" might be more appropriate depending on the context.

Common error

Avoid using "extensive data" when the dataset is actually limited or incomplete. Overstating the data's scope can mislead readers about the robustness of your findings.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "extensive data" primarily functions as a noun phrase modifier. The adjective "extensive" qualifies the noun "data", indicating a large amount or broad scope. This phrase is commonly used to describe the quantity of information available for analysis, research, or decision-making, according to Ludwig.

Expression frequency: Very common

Frequent in

Science

36%

News & Media

35%

Academia

15%

Less common in

Formal & Business

5%

Encyclopedias

4%

Wiki

0%

Ludwig's WRAP-UP

The phrase "extensive data" is a common and grammatically correct way to describe a large and comprehensive collection of information. According to Ludwig, it functions as a noun phrase modifier, emphasizing the scope and quantity of the data. It's most frequently used in scientific, academic, and news media contexts, where its purpose is to inform and highlight the thoroughness of research or analysis. While alternatives like "comprehensive data" or "voluminous data" exist, the best choice depends on the specific nuance you wish to convey. Remember to ensure that the data's scope aligns with your description to avoid misleading your audience.

FAQs

How can I use "extensive data" in a sentence?

You can use "extensive data" to describe a large and comprehensive dataset, as in "The study was based on "extensive data" collected over several years."

What's a good alternative to "extensive data"?

Depending on the context, alternatives to "extensive data" include "comprehensive data", "voluminous data", or "substantial data".

Is it better to say "extensive data" or "intensive data"?

While both are valid, "extensive data" refers to a large quantity of data, while "intensive data" suggests detailed data gathered from a focused area. Choose the phrase that best reflects the nature of the data.

What does "extensive data analysis" involve?

"Extensive data analysis" involves a thorough examination of a large dataset to identify patterns, trends, and insights. This often includes statistical modeling and visualization techniques.

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Most frequent sentences: