irrelevant data

USAGE SUMMARY

The phrase "irrelevant data" is correct and usable in written English.
It can be used when referring to information that is not applicable or does not pertain to the subject at hand. Example: "In our analysis, we need to filter out any irrelevant data to ensure the accuracy of our results."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

This is irrelevant data and it's also misscaled even if you want to take it on its own merits.

The Guardian

"There is no indication whatsoever of any ill effects," she said, arguing that Public Citizen's views were based on outdated and irrelevant data.

The New York Times - Food

Exes are nobodies, irrelevant data, layers of old carbon and regret, lying beneath the lush meadows of singledom where you now happily wander.

The Guardian - Lifestyle

For over a decade now, the NSA has been drowning in a sea of irrelevant data collected almost entirely about innocent people who would never be selected as targets or comprise part of any useful analysis.

The Guardian - Opinion

The typical mortgage or credit-card agreement features page after page of legalese — what bankers call "mice type" — in which the numbers that really matter are obscured by a welter of irrelevant data.

The New Yorker

The mails appeared to have been captured and stored as the output of a then-new tool being used to strip irrelevant data out of the agency's tapping process.

The Guardian

The judges found that the government's argument, in response to the A.C.L.U., amounted to saying that everyone's phone records were relevant because, someday, "utilizing its ability to sift through the trove of irrelevant data," the government might find something helpful.

The New Yorker

To be freed from the stranglehold of Big Media is, instead, to be deluged with a range of online commentary on matters big and small, a thousand click-bait headlines, a million points of irrelevant data presented in a hundred winsome graphic forms.

The New Yorker

Hiding irrelevant data, i.e., information not immediately related to image quality;  .

EURASIP Journal on Advances in Signal Processing

The methodology directly deals with the highly redundant and irrelevant data contained in these representations, combining a first stage of irrelevant data removal by variable selection, with a second stage of redundancy reduction using methods based on linear transformations.

EURASIP Journal on Advances in Signal Processing

The collection of irrelevant data streams increases the computational burden that directly affects the operational cost of enterprises.

Data Science and Engineering

Expert writing Tips

Best practice

When analyzing data, prioritize filtering out "irrelevant data" early to improve efficiency and focus on meaningful insights.

Common error

Avoid including large amounts of background information or tangential details in reports. Focus solely on data that directly supports your conclusions to maintain clarity and impact.

Linguistic Context

The phrase "irrelevant data" functions primarily as a noun phrase, typically serving as the object of a verb or preposition. Ludwig AI confirms that it refers to information that is not pertinent or applicable in a specific context. The examples show its use in describing data that needs to be filtered out or removed to improve analysis or decision-making.

Expression frequency: Very common

Frequent in

Science

34%

News & Media

33%

Formal & Business

0%

Less common in

Wiki

2%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "irrelevant data" is a noun phrase that describes information that is not pertinent or applicable in a given context. Ludwig AI confirms its grammatical correctness and common usage, particularly in scientific and journalistic writing. When writing, it's crucial to filter out "irrelevant data" to enhance clarity and effectiveness. Common errors include its addition to reports which can be avoided. Considering related phrases like "unrelated information" or "extraneous details" can enrich expression, depending on the specific nuance to convey. Finally, removing "irrelevant data" improves analysis and efficiency.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

unrelated information

Emphasizes the lack of connection to the topic at hand.

immaterial information

Highlights the lack of significance or importance.

extraneous details

Focuses on the unnecessary and superfluous nature of the information.

unnecessary data

Indicates that the data is not required or needed.

inapplicable information

Stresses that the information is not relevant to the specific situation.

peripheral data

Suggests that the information is on the edge of relevance.

inconsequential details

Points out that the details are not important or impactful.

tangential information

Indicates a slight connection but ultimately straying from the main point.

beside the point information

This alternative stresses that the information is not relevant to the main issue at hand.

otiose data

Suggests that the data is serving no practical purpose or result.

FAQs

How can I identify "irrelevant data" in my research?

Identify data that doesn't directly address your research question or contribute to your analysis. Focus on data that provides meaningful insights or supports your hypotheses, and exclude any "unrelated information".

What are some alternatives to "irrelevant data"?

You can use alternatives such as "unrelated information", "immaterial information", or "extraneous details" depending on the context.

Why is it important to remove "irrelevant data" from a dataset?

Removing "irrelevant data" improves the accuracy and efficiency of data analysis, reduces computational burden, and helps to extract meaningful insights more effectively. It also avoids misleading interpretations based on "pointless data".

What is the 'right to be forgotten' in relation to "irrelevant data"?

The 'right to be forgotten' allows individuals to request the removal of inaccurate, outdated, or "irrelevant data" about them from search engine results, ensuring greater control over their online presence. It addresses the delisting of "unnecessary data".