unimportant data

USAGE SUMMARY

The phrase "unimportant data" is correct and usable in written English.
It can be used when referring to information that is not significant or relevant to the context at hand. Example: "In our analysis, we decided to exclude the unimportant data to focus on the key findings."

✓ Grammatically correct

Science

News & Media

Wiki

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

It means losing a lot of important data — your messages can be hard to get back and you'll have to resubmit your logins, for instance — but it also gets rid of all of the unimportant data, too.

Independent

Consequently, the important features are deemphasized by the unimportant data.

Biology Direct

We then fit this model using the lasso penalty strategy to automatically filter out unimportant data sources and further calculate the coefficient of determination (R) as a score to measure the strength of association between disease d and gene g.

BMC Medical Genomics

Unimportant data in the hard-disk only add to the clutter, leaving little or no space for important issues.

WikiHow

Human-verified similar examples from authoritative sources

Similar Expressions

54 human-written examples

We do not advocate such a procedure in general, but the handling of the intermittent missing values is unimportant in these data: alternative procedures, imputing the 5 intermittent missing values all as 0 or all as 1, produced results differing by less than 1% of a standard error from those shown.

Computational Statistics and Data Analysis

Preoccupied by a big anticorruption protest movement and internal bickering among politicians, officials tended to dismiss the gloomy data as unimportant or as temporary setbacks.

The New York Times

This effect has been considered and found to be unimportant for the hominoid data by Burgess and Yang (2008).

Genome Biology and Evolution

Similar findings have been described by others who have produced models on HES specifically 28 as the test is recognised to detect unimportant differences within large data sets.

BMJ Open

Bayesian methods have the advantage of embodying and yielding parameter distributions rather than using point-estimates; the balance of the data is unimportant, multiple methods can be compared simultaneously in a single analysis, they are readily implemented and interpreted; and, they are easily generalised to more complex study designs and hierarchies [ 12- 14].

BMC Medical Research Methodology

By allocating low resolutions to visually unimportant textures, we reduce the data size to load for rendering without much degradation of quality.

EURASIP Journal on Image and Video Processing

MP3s and other "lossy" audio codecs work by getting rid of data that is considered unimportant.

TechCrunch

Expert writing Tips

Best practice

When presenting data, prioritize what is relevant to your audience; filter out "unimportant data" to maintain focus and clarity.

Common error

Avoid including large volumes of "unimportant data" in reports or presentations. This can dilute key findings and confuse your audience. Always focus on presenting the most significant information first.

Linguistic Context

The phrase "unimportant data" functions as a noun phrase where the adjective "unimportant" modifies the noun "data". According to Ludwig AI, it is considered grammatically correct.

Expression frequency: Rare

Frequent in

Science

50%

News & Media

37%

Wiki

13%

Less common in

Formal & Business

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "unimportant data" is a grammatically correct noun phrase used to describe data considered not essential or relevant. Ludwig AI confirms its validity. While relatively rare in occurrence, it appears across several domains, including science, news and media, and wiki sources. It's crucial to avoid overwhelming audiences with "unimportant data" and prioritize relevant information. Alternatives like "irrelevant information" or "trivial facts" can be used depending on the specific context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

irrelevant information

Focuses on the lack of relevance of the data to a specific context.

insignificant details

Emphasizes the minimal impact or consequence of the details.

trivial facts

Highlights the lack of importance or seriousness of the facts.

immaterial information

Suggests that the information is not pertinent or consequential to the matter at hand.

negligible data

Indicates the data is so small or unimportant that it can be disregarded.

extraneous data

Highlights that the data is not essential or intrinsically related to the subject.

non-essential facts

Emphasizes the data's lack of necessity for understanding or action.

peripheral details

Suggests the details are on the outer edges of importance and not central.

inconsequential information

Focuses on the lack of consequence or impact that the information has.

minor data points

Highlights the data's small scale and reduced importance.

FAQs

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

You can use "unimportant data" to describe information that doesn't significantly contribute to the main analysis or conclusion. For example: "We filtered out the "unimportant data" to focus on the core trends."

What's a good alternative for "unimportant data"?

Alternatives include "irrelevant information", "insignificant details", or "trivial facts" depending on the specific context and the nuance you want to convey.

Is it ever okay to include "unimportant data" in a report?

While the primary focus should be on relevant findings, including a small amount of "unimportant data" might be acceptable if it provides context or helps to illustrate the scope of the overall dataset. However, always prioritize clarity and avoid overwhelming the reader.

How do I identify "unimportant data" in a large dataset?

Use statistical methods or domain expertise to identify variables that have little to no correlation with the key outcomes or research questions. Data visualization techniques can also help to spot patterns that indicate which data points are truly "peripheral details".