millions of data points

USAGE SUMMARY

The phrase "millions of data points" is correct and usable in written English.
It can be used when discussing large datasets, particularly in fields like data analysis, statistics, or research. Example: "The study was based on millions of data points collected over several years, providing a comprehensive view of the trends."

✓ Grammatically correct

News & Media

Academia

Science & Research

Human-verified examples from authoritative sources

Exact Expressions

46 human-written examples

"Millions of data points," says Teige.

University of California, Berkeley

None of the millions of data points modeled was our data.

The New York Times

The company managed to get hold of millions of data points of very sensitive data from Facebook users.

Harvard University

Yes, we need to be agile to make sense of the millions of data points collected in real-time.

The Guardian

Second, SPs can be efficiently computed via parallelized difference-of-convex optimization; this allows us to reduce millions of data points to a representative dataset in mere seconds.

University of California, Berkeley

With millions of data points and an amazing array of analysts, Amadeus turns air travel into an exercise in data science.

Massachusetts Institute of Technology

Human-verified similar examples from authoritative sources

Similar Expressions

14 human-written examples

They collect thousands of data points a day.

MIT Technology Review

New type of database-analytics platform queries and maps billions of data points in milliseconds.

Massachusetts Institute of Technology

Match.com President Mandy Ginsberg said the company has billions of data points it can analyze.

Massachusetts Institute of Technology

But with our mere billions of data points we're not quite ready for it.

Harvard Business Review

Advertisers could buy thousands of data points on virtually every adult in America.

The New York Times - Magazine

Expert writing Tips

Best practice

When using "millions of data points", ensure the context clearly indicates what kind of data is being referred to, as the phrase itself is generic. Specify the source or nature of the data to provide clarity.

Common error

Avoid using "millions of data points" as a blanket statement to imply significance. While the quantity of data can be impressive, always contextualize it with an explanation of how the data is being used and what insights are being derived.

Linguistic Context

The phrase "millions of data points" functions as a noun phrase, typically serving as the object of a verb or the subject of a clause. It quantifies the amount of data being considered. Ludwig shows it is used across varied disciplines.

Expression frequency: Very common

Frequent in

News & Media

43%

Academia

36%

Science & Research

21%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "millions of data points" is a common and grammatically correct way to describe a large volume of data. Ludwig's analysis confirms its frequent use across diverse fields, including news, academia, and science, to underscore the substantial scale of information. While widely accepted, it's important to provide context regarding the type and significance of the data. Remember to avoid overstating the importance of having millions of data points if the analysis lacks meaningful insights. Related terms include "vast amounts of data" and "large datasets".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Large datasets

Emphasizes the structured nature of the data as a collection.

Comprehensive data sets

Highlights the completeness and thoroughness of the data.

Vast amounts of data

Focuses on the sheer quantity of data without specifying a precise number.

Massive data collection

Focuses on the process of gathering large quantities of data.

Extensive data records

Highlights the record-oriented nature of the data.

Substantial data resources

Emphasizes the value and availability of the data.

Abundant data sources

Highlights the multiple origins and plentiful supply of data.

Huge volume of information

Stresses the informational content and its size.

Tremendous amount of metrics

Replaces "data points" with "metrics", emphasizing measurement.

Myriad data elements

Uses "myriad" to denote a large, indefinite number of data elements.

FAQs

How can I use "millions of data points" in a sentence?

You can use "millions of data points" to describe the scale of data analyzed in a study, the input for a machine learning model, or the amount of information gathered by a system. For example, "The algorithm analyzed millions of data points to identify patterns in consumer behavior."

What are some alternatives to using "millions of data points"?

Depending on the context, you can use alternatives like "vast amounts of data", "large datasets", or "extensive data records".

Is it always necessary to quantify data with a specific number like "millions"?

No, it is not always necessary. Sometimes using a more general term like "significant data" or "substantial amount of data" is sufficient, especially if the precise number is unknown or not relevant to the point you are making.

How does the phrase "millions of data points" differ from "thousands of data points"?

The difference lies in the scale. "Millions of data points" indicates a much larger dataset than "thousands of data points", suggesting a greater level of detail and potentially more robust analysis. Use "thousands of data points" when your volume of data is not in millions.