many data

USAGE SUMMARY

The phrase "many data" is correct and usable in written English.
You can use it when you are talking about a large amount of information. For example, "The company collected many data from the survey."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

Many data sets show this.

The New York Times

That already bedevils many data marts.

The New York Times

Many data centers run at only 30percentt of capacity.

The New York Times

There are just too many data points today.

The Economist

Furthermore, many data sets that do end up being published are not relevant.

The Guardian

(Neither company discloses how many data centers it has or how big they are).

The New York Times - Tech

But it acknowledges that it does not yet analyze as many data elements as claimed by Google.

The New York Times - Tech

At the moment, that is no great disadvantage: not many data services exist that require high-speed connections.

The New York Times

Databases are designed to hold many data.

SQL Practical Guide for Developers

The infrastructure depends on many data sources (Fig. 1).

Open Geospatial Data, Software and Standards

In the case study area, many data are not available.

Applied Water Science

Expert writing Tips

Best practice

When using "many data", ensure the context clearly defines what constitutes a single unit of data to maintain clarity for your audience.

Common error

Avoid using "many data" when referring to inherently singular, aggregated datasets. Instead, consider "extensive data" or "comprehensive data" to highlight the breadth or depth of the information.

Linguistic Context

The phrase "many data" functions as a quantifier phrase modifying the noun "data". It indicates a large quantity or numerous instances of data. Ludwig confirms this usage through numerous examples.

Expression frequency: Very common

Frequent in

Science

40%

News & Media

33%

Formal & Business

27%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase “many data” is a grammatically correct and commonly used expression to indicate a large quantity of information. According to Ludwig, its usage spans across various domains, including science, news, and formal business settings. While perfectly acceptable, alternative phrases like “a lot of data” or "extensive data" might be preferred in certain contexts to enhance clarity or formality. Overall, understanding the nuances of when and how to employ “many data” ensures effective communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

a lot of data

Replaces "many" with a more informal quantifier.

plenty of data

Suggests an ample or sufficient amount of data.

a large quantity of data

Emphasizes the significant size of the data set.

a wealth of data

Implies a rich and valuable collection of data.

an abundance of data

Highlights the plentiful nature of the data.

numerous data points

Focuses on individual data entries within the set.

extensive data sets

Highlights structured organization and large number of data entries.

a multitude of data

Emphasizes the vast number of data elements.

considerable data

Highlights a notably amount of data.

copious data

Stresses the abundant nature of the data available.

FAQs

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

You can use "many data" to indicate a large quantity of information, such as in the sentence, "The study involved analyzing "many data" points to identify trends."

What are some alternatives to saying "many data"?

Alternatives to "many data" include phrases like "a lot of data", "plenty of data", or "a large quantity of data", depending on the context and desired level of formality.

Is it always appropriate to use "many data" in formal writing?

While grammatically correct, "many data" might sound slightly informal in certain contexts. For formal writing, consider using more sophisticated alternatives like "extensive data" or "a substantial amount of data".

What kind of analysis benefits from "many data"?

Data mining, machine learning, and statistical modeling often benefit from "many data" points, as larger datasets can lead to more accurate and reliable results.