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a large data set

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "a large data set" is correct and usable in written English.
You can use it when referring to a collection of data that is substantial in size, often in the context of data analysis or research. Example: "In our study, we analyzed a large data set to identify trends and patterns in consumer behavior."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

We generally try not to throw a large data set at users.

News & Media

The New York Times

Maybe it's designed to find all the articles in a large data set that are talking about the same subject.

News & Media

The Guardian

This study uses a large data set to update risk stratification for PML in patients with MS on natalizumab.

Science & Research

Nature

This text focuses on the analysis of a large data set obtained from installed siphonic roof drainage systems.

With this aim, we interpret a large data set of multichannel seismic reflection profiles and several well logs.

We used statistical analysis (multi-level regression) on a large data set of 10,000+ first-grade children across schools in the United States to extrapolate these findings.

It is one of the first studies to have a large data set of cases (>600) with independent training and validation sets.

Science & Research

Nature

What has hindered work in this area, he said, is the lack of a large data set containing multiple generations of detailed medical histories.

Understanding the behavior of such networks often requires the ability to discover temporal connections among the events in a large data set.

Yaari and Eisenmann used a large data set of more than 300,000 free throws to show strong support for the "hot hand" phenomenon at the individual level.

A large data set on malaria transmission risk in Africa validates both the 25 °C optimum and the decline above 28 °C.

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Expert writing Tips

Best practice

When discussing "a large data set", be specific about its characteristics (e.g., size, scope, source) to provide context and enhance understanding.

Common error

Avoid assuming that "a large data set" automatically guarantees more accurate or meaningful results. The quality and relevance of the data are equally important.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

86%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "a large data set" functions as a noun phrase, acting as the subject or object of a sentence. As shown by Ludwig, it commonly refers to a collection of data that is substantial in size and used for analysis or research.

Expression frequency: Very common

Frequent in

Science

45%

News & Media

25%

Academia

20%

Less common in

Formal & Business

5%

Wiki

3%

Encyclopedias

2%

Ludwig's WRAP-UP

In summary, "a large data set" is a noun phrase frequently employed in scientific, academic, and news contexts to denote a substantial collection of data. As Ludwig AI confirms, the phrase is grammatically sound and widely accepted. When utilizing this phrase, consider specifying the data's characteristics to provide clarity. While a large data set can offer valuable insights, remember that data quality and relevance are crucial for meaningful results. Consider alternatives like "a significant data set" or "a comprehensive data set" to fine-tune your message.

FAQs

How can I effectively use "a large data set" in research?

Begin by clearly defining your research question and ensuring the data is relevant. Proper data cleaning, preprocessing, and appropriate statistical methods are essential for accurate analysis.

What are some alternatives to using the phrase "a large data set"?

Depending on the specific context, you could use phrases like "a significant data set", "a comprehensive data set", or "an extensive data set".

What are the challenges of working with "a large data set"?

Challenges include managing computational resources, ensuring data quality and consistency, and selecting appropriate analytical techniques to handle the volume and complexity of the data.

How does the size of "a large data set" affect the statistical significance of results?

With "a large data set", even small effects can become statistically significant. It's crucial to consider the practical significance and real-world implications of the findings, not just the p-value.

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

Most frequent sentences: