unrelated data

USAGE SUMMARY

The phrase "unrelated data" is correct and usable in written English.
It can be used when referring to data that does not have a connection or relevance to the topic or context being discussed. Example: "In our analysis, we found that the unrelated data did not impact our results."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

39 human-written examples

You love to dress your arguments to unrelated data.

The New York Times

Our theory ties up many seemingly unrelated data on the carbon system.

Carbon

A variance component based multi-marker association test using family and unrelated data.

Harvard University

In this way, using unrelated data may introduce racial biases and discriminate against people without good reason".

The Guardian - Money

Last summer, the indictment continued, Datacom sought an unrelated data processing contract from the Parking Violations Bureau.

The New York Times

Plotting unrelated data sets together can make it seem that changes in one variable are causing changes in the other.

Harvard Business Review

Human-verified similar examples from authoritative sources

Similar Expressions

21 human-written examples

He was speaking following admissions from Facebook that more than a million British users may have had their data improperly shared with the election consultancy Cambridge Analytica – and that an unrelated data-scraping operation, not previously acknowledged, extracted the data of "most" of the company's 2 billion users.

The Guardian - Tech

It is possible the NDG will gain more formal advice powers in future, given the role is relatively new — set up in November 2014, following another unrelated data-sharing controversy, and with the UK government only publishing its response to a consultation on the role's remit and powers this summer.

TechCrunch

GIFT efficiently filters out unrelated image/video data using geospatial metadata in interacting with the vision applications.

EURASIP Journal on Image and Video Processing

Solutions supporting multiple source domains enabling the splitting of larger source domains into smaller domains to more easily discriminate against unrelated source data are a logical area for continued research.

Journal of Big Data

However, Kaspersky Lab's claim that other users would have suffered slow downloads as a consequence has become a matter of controversy with some claiming any delays were more likely to have been caused by an unrelated damaged data cable.

BBC

Expert writing Tips

Best practice

Clearly define your scope and criteria for excluding data points as "unrelated data" to avoid accusations of cherry-picking or manipulating results.

Common error

Be cautious about excluding data as "unrelated data" without a clear justification. This can lead to biased results. Always document your reasons for excluding data, and consider sensitivity analyses to assess the impact of your exclusion criteria.

Linguistic Context

The phrase "unrelated data" functions as a noun phrase, where "unrelated" acts as a descriptive adjective modifying the noun "data". Ludwig AI indicates that this phrase is grammatically correct and usable in written English.

Expression frequency: Common

Frequent in

Science

50%

News & Media

38%

Formal & Business

12%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "unrelated data" refers to information lacking relevance or connection to a specific context. Ludwig AI affirms its grammatical correctness and usability across various domains. Predominantly used in scientific and news contexts, its purpose is to categorize and distinguish information, emphasizing the absence of meaningful relationships. While generally neutral, formality adjusts based on context. Effective use involves transparently identifying and justifying exclusions, avoiding overly broad application, ensuring clarity in analysis, and considering sensitivity. Alternative phrases like "irrelevant data" and "separate data" can offer nuanced descriptions of data relationships.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

irrelevant data

Focuses more specifically on the lack of relevance.

separate data

Highlights the distinct and non-overlapping nature of the data.

unrelated datasets

Specifies that the lack of connection is between entire datasets.

extraneous data

Emphasizes that the data is not essential or pertinent to the situation.

distinct data

Stresses the clear difference and absence of relationship between data points.

independent data

Indicates that the data exists on its own, without influence from other sources.

foreign data

Suggests the data originates from a different and unconnected source or context.

unconnected information

Uses a more general term to describe data that has no relationship.

isolated facts

Points to individual pieces of information that are not linked to each other.

miscellaneous information

Implies a collection of data without a unifying theme or purpose.

FAQs

How can I effectively identify "unrelated data" in my analysis?

Establish clear criteria based on the context of your analysis. Look for data points that don't fit within the defined parameters or exhibit no discernible relationship to other variables. Document these criteria to maintain transparency and justify your exclusions.

What statistical tests are appropriate for analyzing "unrelated data"?

When dealing with "unrelated data", non-parametric tests like the Mann-Whitney U test (for two independent samples) or Kruskal-Wallis test (for more than two independent samples) are suitable as they do not assume a specific distribution.

Is it always necessary to exclude "unrelated data" from a dataset?

Not always. It depends on the purpose of your analysis. Sometimes including "unrelated data" can provide a baseline for comparison or reveal anomalies. However, if your goal is to identify specific patterns or correlations, it may be necessary to remove "unrelated data" to avoid noise.

What are some alternatives to "unrelated data" that I can use in my writing?

You can use alternatives like "irrelevant data", "separate data", or "extraneous data" depending on the context.