unusual data point

USAGE SUMMARY

The phrase "unusual data point" is correct and usable in written English.
You can use it when referring to a specific piece of data that deviates from the norm or expected range in a dataset or analysis. Example: "In our analysis, we identified an unusual data point that could indicate a potential error in the data collection process."

✓ Grammatically correct

Science

News & Media

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

Staff members at Herbaria@home perform manual quality checks on about 5 percent of the incoming data, while ClimateWatch uses an algorithm to look for unusual data points, which can then be manually checked for accuracy.

The New York Times - Science

The results are further strengthened by the fact that there are no unusual data points.

Journal of Industrial Engineering International

More specifically, the curvatures of patterns (including the location of unusual data points) that can easily be detected in a visual display are often rendered obscure or less easy to judge from an equivalent table of the data [ 24] p.1.

Globalization and Health

All assumptions were met and no unusual or influential data points were identified.

Clinical Epidemiology

Unusual and influential data points as well as the regression assumptions of linearity, multicollinearity, normality of residuals, and homoscedasticity of residuals were thoroughly investigated.

Clinical Epidemiology

Fourth, for data from oligonucleotide-arrays in which their log-base is unknown or data formats are unusual and therefore cannot be justified using data distribution, a simple ratio between each data point and the average expression was computed.

BMC Medical Genomics

–Using your set of data, extrapolate a particular data point.

The New York Times

–Using your set of data, interpolate a particular data point.

The New York Times

One data point in particular bears watching.

The New York Times

This is only one data point.

The Guardian

Which gets us to another data point.

The New York Times

Expert writing Tips

Best practice

When analyzing data, always investigate "unusual data point"s to determine if they represent errors, genuine anomalies, or previously unknown phenomena.

Common error

Avoid immediately dismissing "unusual data point"s as errors. Instead, conduct thorough validation and consider the possibility of genuine, unexpected findings.

Linguistic Context

The phrase "unusual data point" functions as a noun phrase modified by an adjective. It identifies a specific entry within a dataset that deviates from expected values, as supported by Ludwig AI.

Expression frequency: Uncommon

Frequent in

Science

40%

News & Media

40%

Formal & Business

20%

Less common in

Wiki

0%

Encyclopedias

0%

Social Media

0%

Ludwig's WRAP-UP

The phrase "unusual data point" is a grammatically correct and usable term that describes a data entry deviating from the norm. Ludwig AI confirms its validity and utility across various contexts. While not exceedingly common, it finds primary use in scientific and news media. Related phrases like "anomalous datum" or "outlier" offer similar meanings with slight nuances. The key is to avoid dismissing these points prematurely, recognizing their potential value in revealing errors or uncovering new insights. Understanding its proper usage and exploring alternatives enrich analytical writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

anomalous datum

Focuses on the irregularity of a single piece of information.

outlier

A statistical term indicating a data point significantly different from others.

aberrant data observation

Highlights the deviation and the act of observing the data.

atypical data element

Emphasizes the non-standard nature of a data component.

irregular data value

Focuses on the inconsistency of the numerical or categorical value.

deviant data record

Highlights the departure from normal records within a dataset.

non-conforming data instance

Suggests the data does not adhere to expected standards.

unique data observation

Stresses the singularity and distinctiveness of the data.

uncharacteristic data entry

Focuses on the unrepresentative nature of the data input.

divergent data point

Highlights how the data diverges from the central tendency.

FAQs

How can I identify an "unusual data point" in a dataset?

Identifying an "unusual data point" typically involves using statistical methods such as calculating standard deviations, creating box plots, or employing anomaly detection algorithms. These methods help to highlight data entries that significantly deviate from the norm.

What steps should I take after identifying an "unusual data point"?

After identifying an "unusual data point", the first step is to verify its accuracy. Check for data entry errors or measurement issues. If the data point is valid, investigate potential reasons for its unusualness, such as a rare event or a previously unconsidered factor.

What is another way to describe an "unusual data point"?

Alternatives to "unusual data point" include "anomalous datum", "outlier", or "atypical data element", each emphasizing the deviation from the expected pattern.

Can an "unusual data point" ever be valuable?

Yes, an "unusual data point" can be highly valuable. It might reveal a previously unknown trend, a critical insight, or an error in the data collection process that needs correction. Properly investigated, unusual data can lead to significant discoveries.