subtle data

USAGE SUMMARY

The phrase "subtle data" is correct and usable in written English.
It can be used to refer to nuanced or intricate information that may not be immediately obvious or easily interpreted. Example: "The researcher discovered subtle data in the survey responses that indicated a deeper trend in consumer behavior."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

39 human-written examples

It's actually very subtle data.

Massachusetts Institute of Technology

The creation of a sustainable, prosperous agriculture sector requires a nuanced approach based on subtle data.

The Guardian

But more subtle data mining has helped the Obama campaign learn that their supporters often eat at Red Lobster, shop at Burlington Coat Factory and listen to smooth jazz.

The New York Times

Some of his material has, at this point, been reviewed ad nauseam in the daily press and in books by others, so most readers will be familiar with the bad habits of Big Pharma when it comes to subtle data manipulation, high-pressure salesmanship and lavish gifts.

The New York Times - Health

"I don't think Wall Street has adjusted to properly valuing companies that not only are doing well now, but are poised to shut out disrupters and monetize subtle data goldmines".

TechCrunch

Media organizations are also collecting increasingly subtle data about their audiences, some of them swapping editorial judgment for real-time metrics about what their customers want so that they can give them more of it.

Huffington Post

Human-verified similar examples from authoritative sources

Similar Expressions

21 human-written examples

As things become more subtle, bigger data helps.

The Washington Post

Another challenge is that the temperature effects can be subtle, meaning data has to be collected over a long period.

The Guardian

And you know it, too - both because you are a high performing organization, and because you make your money by converting simple, binary, automated algorithms into complex, subtle, analytical data.

Huffington Post

Those subspace methods have difficulties in capturing subtle or latent data characteristics, because subspace methods transform data into another subspace to seek meaningful feature combination and original spatial coordinates are 'lost', which makes it almost impossible to track those features contributing to the behaviors.

BMC Medical Genomics

The Dashboard architecture enabled graphical navigation and discovery of subtle associations between data elements, sub-population strata, or clusters that may be obfuscated during traditional protocols for data inspection.

Journal of Big Data

Expert writing Tips

Best practice

When analyzing complex situations, pay close attention to the "subtle data" as it often reveals the most critical insights. Don't overlook seemingly insignificant details.

Common error

Avoid dismissing "subtle data" as irrelevant or noise. Many critical discoveries and informed decisions stem from careful consideration of these often-overlooked details. Train yourself and your team to recognize their potential value.

Linguistic Context

The phrase "subtle data" functions primarily as a noun phrase, where the adjective "subtle" modifies the noun "data". This combination describes information that is not immediately apparent or requires careful analysis to discern its meaning. Ludwig provides numerous examples demonstrating this usage.

Expression frequency: Common

Frequent in

Science

50%

News & Media

37%

Academia

13%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "subtle data" refers to nuanced or intricate information requiring careful analysis to uncover its meaning. It is grammatically correct and commonly used, particularly in scientific, news, and academic contexts. Ludwig confirms its acceptability and provides diverse examples. When using this phrase, remember that its effectiveness lies in highlighting the importance of careful observation and analysis to reveal hidden insights. Related phrases include "nuanced information" and "delicate details". A common error is overlooking "subtle data", which can lead to missed opportunities or flawed conclusions.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

nuanced information

Emphasizes the presence of fine distinctions and variations within the information.

delicate details

Highlights the fragility and sensitivity required in handling the data.

underlying patterns

Focuses on the hidden structures and relationships within the data.

latent insights

Suggests the data contains hidden knowledge waiting to be uncovered.

implicit signals

Implies that the data conveys information indirectly or tacitly.

fine-grained data

Stresses the level of detail and granularity present in the information.

sensitive indicators

Highlights the data's ability to detect or reflect subtle changes.

tacit knowledge

Focuses on knowledge that is difficult to transfer to another person by means of writing it down or verbalizing it.

inconspicuous evidence

Emphasizes that the data's significance might be easily overlooked.

low-key intelligence

Suggests the data provides information in a restrained or subtle manner.

FAQs

How can I effectively analyze "subtle data"?

Effective analysis of "subtle data" often requires specialized tools and techniques. Consider using statistical methods, data visualization, and qualitative analysis to uncover patterns and insights that may not be immediately obvious. Also, domain expertise is often crucial.

What does it mean to extract "subtle data" characteristics?

Extracting "subtle data" characteristics involves identifying and isolating the nuanced features within a dataset that contribute to a deeper understanding of the phenomena being studied. This often requires de-noising and advanced feature selection methods as highlighted in scientific research.

What are some alternatives to "subtle data"?

You can use alternatives like "nuanced information", "delicate details", or "underlying patterns" depending on the specific context.

Why is "subtle data" important in fields like medical genomics?

In fields like medical genomics, "subtle data" can differentiate between similar conditions, such as malignant and benign tumors, that share global characteristics. Detecting these "subtle data" characteristics is essential for achieving accurate clinical diagnoses.