incoherent data

USAGE SUMMARY

"incoherent data" is correct and usable in written English.
You can use it to describe information that is difficult to understand due to being inconsistent, disorganized, or illogical. For example, "The results of the experiment were mostly incoherent data, making it difficult to draw any clear conclusions."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

6 human-written examples

Figure 6 Incoherence example.(a) An example of a highly incoherent data set is presented, due to having two active sources.

EURASIP Journal on Audio, Speech, and Music Processing

As a result, information-age investors were lost in a torrent of incoherent data.

The New York Times

Some of the recovered geolocators showed incoherent data by a variety of causes, but mainly due to the proximity to the autumn equinox (see below); Figure 3 shows a synthesis of them through Kernel Density Estimation.

Plosone

Automatic checks were generated for missing or incoherent data.

Critical Care

To overcome this problem, we have developed and installed some scripts in the web-based interface that warn users about the existence of incoherent data.

BMC Infectious Diseases

We were unsuccessful in contacting the investigators in one study that had reported incoherent data and consequently only included this study in one meta-analysis.

BMJ Open

Human-verified similar examples from authoritative sources

Similar Expressions

54 human-written examples

Although it is possible in principle to infer ion composition from incoherent scatter data, this is not done routinely for the present EISCAT systems.

Progress in Earth and Planetary Science

Today, Identified has unveiled its patent-pending, artificial intelligence technology called "SYMAN," which aims to organize the masses of disparate, incoherent professional data that lives in our social media profiles in order to identify new insights into the job market.

TechCrunch

Farley et al. (1970) performed a study of spread F using the radar at Jicamarca and found that strong scattering from field aligned irregularities (spread F irregularities) completely masked the incoherent scatter data.

Progress in Earth and Planetary Science

Part of the company's secret sauce was its patent-pending, artificial intelligence technology called "SYMAN," which aims to organize the masses of disparate, incoherent professional data that lives in social media profiles in order to identify new insights into the job market.

TechCrunch

We present an analysis of 48 spectrally uniform ion line power enhancement events, extracted from 5450 hours of ESR IPY incoherent-scatter data using stringent selection criteria.

Earth, Planets and Space

Expert writing Tips

Best practice

When using "incoherent data", clearly explain why the data is incoherent. Specify the inconsistencies, lack of logical flow, or any other factors contributing to its incoherence.

Common error

Avoid using "incoherent data" without providing context. Readers might not immediately grasp the specific issues within the data. Always elaborate on the reasons for the incoherence.

Linguistic Context

The phrase "incoherent data" functions as a descriptor, classifying a dataset based on its characteristics. It indicates that the data lacks logical consistency and is difficult to interpret, aligning with Ludwig AI's assessment of correctness and usability.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

30%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "incoherent data" describes a dataset that lacks logical consistency and is difficult to interpret. Ludwig AI confirms its grammatical correctness and usability. Although not extremely common, it appears most frequently in scientific and news contexts. When using this phrase, it's crucial to specify the reasons for the incoherence to ensure clarity for the reader. Alternatives like "inconsistent data" or "contradictory data" can be used depending on the specific type of issue within the dataset.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

inconsistent data

Replaces "incoherent" with "inconsistent", highlighting the lack of uniformity within the data.

contradictory data

Emphasizes the conflicting nature of the data points.

illogical data

Focuses on the lack of logical connection or sense within the data.

uninterpretable data

Highlights the difficulty in understanding or deriving meaning from the data.

unreliable data

Shifts the focus to the trustworthiness and accuracy of the data.

fragmented data

Suggests that the data is incomplete and lacks a cohesive structure.

garbled data

Implies that the data is distorted and difficult to decipher.

jumbled data

Focuses on the disorganized state of the data, lacking a clear order.

senseless data

Emphasizes the lack of any meaningful information or pattern within the data.

meaningless data

Focuses on the data lacking significance or purpose.

FAQs

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

You can use "incoherent data" to describe datasets that are difficult to understand or interpret due to inconsistencies or a lack of logical structure. For example, "The study was hampered by the "incoherent data" collected from the patient group".

What are some alternatives to "incoherent data"?

Depending on the specific context, you could use phrases like "inconsistent data", "contradictory data", or "unreliable data". These alternatives highlight different aspects of the data's problematic nature.

What makes data "incoherent"?

Data becomes "incoherent" when it lacks a clear, logical connection between its elements. This can be due to errors in collection, conflicting information, or a lack of consistent patterns, making it difficult to draw meaningful conclusions.

Is "incoherent data" a common term in data analysis?

While not the most frequent term, "incoherent data" is used in fields like scientific research, data analysis, and finance to describe datasets that present challenges in interpretation. It indicates a need for further investigation or data cleaning.