data on everything

USAGE SUMMARY

The phrase "data on everything" is correct and usable in written English.
It can be used when referring to information or statistics that cover a wide range of topics or subjects. Example: "The research project aims to compile data on everything from climate change to economic trends."

✓ Grammatically correct

News & Media

Academia

Formal & Business

Science

Wiki

Human-verified examples from authoritative sources

Exact Expressions

53 human-written examples

You need historical data on everything she ever touched, to accelerate the investigation.

The New Yorker

It is an earlier start than at most schools, but the children's punctuality record – at Dixons Trinity, they keep data on everything – is almost 100%.

The Guardian

This government's transparency agenda is turning that around, as it releases more and more data on everything from healthcare to travel to the weather.

The Guardian

Explorer contains all kinds of information about the museum's collection: users can call up data on everything from Tyrannosaurus rex to the Star of India sapphire.

The New York Times - Arts

The elimination of the American Community Survey from the bill surprised researchers, who say they depend on it for data on everything from race to migration and poverty.

The New York Times

As Mr. Messina explained, his campaign made an "unparalleled" $100 million investment in technology, demanded "data on everything," "measured everything" and ran 66,000 computer simulations every day.

The New York Times

Human-verified similar examples from authoritative sources

Similar Expressions

7 human-written examples

Many big and small companies, attracted to an industry where revenues have been moving upward at 18percentt a year, have found profitable niches next to Mead Data by selling computerized information on everything from Chinese patents to nonferrous metal technology.

The New York Times

And the quality of data available on everything from weather to soils varies widely, which raises questions about its usefulness.

Yale University

With the more detailed data available on everything that happens on the field, it is now possible to quantify these contributions as well.

The New York Times

But second-generation devices, known as OBDII, now collect data on practically everything in the car.

The Economist

The airline is always looking to make improvements so it gathers and analyses data on almost everything it does in search of, for example, ways to process baggage faster and cheaper.

The Economist

Expert writing Tips

Best practice

Use "data on everything" to emphasize the breadth and scope of information collected or available. It implies a comprehensive approach to data gathering and analysis.

Common error

Avoid using "data on everything" if the data is not truly comprehensive. Ensure that the claim of covering "everything" is accurate and not an exaggeration.

Linguistic Context

The phrase "data on everything" primarily functions as a noun phrase that is often used as an object of a verb or preposition. It denotes a comprehensive scope of information, as exemplified by Ludwig's examples indicating collection and analysis across diverse fields. Ludwig AI confirms the phrase is correct and usable.

Expression frequency: Very common

Frequent in

News & Media

35%

Academia

25%

Science

15%

Less common in

Formal & Business

10%

Wiki

10%

Reference

5%

Ludwig's WRAP-UP

The phrase "data on everything" is a common and grammatically correct expression used to describe comprehensive information gathering or availability. Ludwig provides numerous examples across diverse fields such as news, academia, and business. The phrase's neutral register makes it suitable for various audiences. While generally acceptable, it's crucial to ensure that the claim of covering "everything" is accurate and not an overstatement. Alternatives like "information about everything" or "comprehensive data set" can be used to refine the meaning or suit different contexts. As Ludwig AI confirms, "data on everything" is a useful phrase for conveying a complete approach to data.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

information about everything

Replaces "data" with the broader term "information".

statistics on everything

Substitutes "data" with "statistics", implying a numerical focus.

details on every aspect

Shifts from "data" to "details" and emphasizes "every aspect" instead of "everything".

information encompassing all subjects

Uses more formal vocabulary like "encompassing" and "subjects".

comprehensive data set

Focuses on the "data set" being comprehensive rather than the scope of "everything".

all-inclusive data

Uses "all-inclusive" to describe the extent of the data.

complete information on all matters

Replaces "data" with "information", "everything" with "all matters" and introduces the adjective complete.

wide-ranging data

Highlights the "wide-ranging" nature of the data, changing the focus from "everything".

extensive data on all topics

Uses "extensive" to describe the data and replaces "everything" with "all topics".

thorough data on every item

Emphasizes the "thorough" nature of the data, focusing on individual "items".

FAQs

How can I use "data on everything" in a sentence?

You can use "data on everything" to describe a situation where comprehensive information is available, such as "The study collected "data on everything" from consumer behavior to market trends."

What are some alternatives to "data on everything"?

Alternatives include "information about everything", "comprehensive data set", or "extensive data on all topics", depending on the specific context.

Is "data on everything" too broad of a statement?

While "data on everything" is acceptable, ensure your usage accurately reflects the scope of available data. If the data is limited to specific areas, more precise language may be better.

When is it appropriate to use "data on everything" versus "information on everything"?

"Data" is more appropriate when referring to structured, factual measurements and statistics, whereas "information" is broader and can include qualitative insights and unstructured knowledge. The choice depends on whether you're emphasizing quantifiable facts or a more general understanding. For example, "We need "information about everything" related to our customer base" versus "We need "data on everything" about the project's budget and expenses".