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impertinent data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "impertinent data" is correct and usable in written English.
It can be used to describe data that is irrelevant or not pertinent to the subject at hand. Example: "The report was filled with impertinent data that did not contribute to the overall analysis."

✓ Grammatically correct

News & Media

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

For Eric J. Johnson, the director of the Center for Decision Sciences at Columbia Business School and a co-author of the study, the findings highlight the pitfalls of policymaking by poll, given that opinions on such a complex issue appear susceptible to highly impertinent data.

News & Media

The New York Times

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

It is impertinent of the insurer to act on information that is medically insignificant.

Quite sensibly, you will leave it to financial journalists to sift a company's data, compare results and call up the financial director to ask impertinent questions.

Ask your own impertinent questions.

I retract that impertinent suggestion.

It was impertinent genius.

Impertinent and unmannerly.

Don't be impertinent.

I was shocked by this impertinent notion.

It has a free and impertinent press.

News & Media

The Economist

The young grow restless and impertinent.

News & Media

The Economist
Show more...

Expert writing Tips

Best practice

When using "impertinent data", ensure you clearly articulate why the data is irrelevant to avoid ambiguity. This clarifies the scope of your analysis and strengthens your argument.

Common error

Avoid using "impertinent data" when you simply mean unimportant data. "Impertinent" implies the data is not only unimportant but also inappropriate or irrelevant to the context.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

94%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "impertinent data" functions as an adjective-noun combination, where "impertinent" modifies "data". It describes the type of data, specifying that it is not relevant or appropriate for the given context. According to Ludwig, the phrase is grammatically correct and usable.

Expression frequency: Rare

Frequent in

News & Media

100%

Less common in

Academia

0%

Formal & Business

0%

Science

0%

Ludwig's WRAP-UP

In summary, "impertinent data" is a phrase used to describe irrelevant or inappropriate information in a given context. Ludwig confirms its grammatical correctness. While the phrase itself is valid, it's important to ensure it's used accurately to convey the intended meaning—that the data is not only unimportant but also misplaced or unsuitable. Alternatives like ""irrelevant information"" or "inapplicable data" can be used depending on the nuance you wish to express. The term appears most frequently in news and media, suggesting a common usage in analytical or descriptive reporting.

FAQs

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

Use "impertinent data" to describe information that is not relevant or appropriate to the matter at hand. For example, "The conclusions were skewed due to the inclusion of "irrelevant information"."

What is a synonym for "impertinent data"?

Synonyms for "impertinent data" include ""irrelevant information"", "inapplicable data", and "unrelated data". The best choice depends on the specific context.

How does "impertinent data" differ from "insufficient data"?

"Impertinent data" refers to data that is irrelevant or inappropriate, while "insufficient data" means there isn't enough data to draw a conclusion. They describe different problems in data analysis.

Is it always negative to have "impertinent data"?

Yes, having "impertinent data" is generally negative because it suggests the inclusion of information that can mislead analysis or waste resources. The goal should always be to use pertinent data.

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

Most frequent sentences: