illogical data

USAGE SUMMARY

"illogical data" is a correct and usable phrase in written English.
You can use it to describe information that doesn't seem to follow logical rules or is hard to comprehend. For example, "The reports contained a lot of illogical data which made it difficult to draw any conclusions."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

10 human-written examples

Among the 1756 data sets (input and output) after eliminating illogical data that is indication of human and device error, the 1,630 data sets of 38 wells were used in the modeling.

Journal of Petroleum Exploration and Production Technology

In addition, post-survey interviews were further conducted to verify missing and illogical data.

Plosone

Research technicians completed missing or illogical data by telephone interview.

BMC Public Health

Our research technicians completed missing answers and/or illogical data by telephone interview.

BMC Oral Health

When missing answers and/or illogical data were detected, the subjects were given another opportunity to answer those questions.

BMC Public Health

Data are validated both locally and nationally for completeness, inconsistencies and illogical data and this process is repeated until all queries are dealt with.

BMJ Open

Human-verified similar examples from authoritative sources

Similar Expressions

50 human-written examples

For missing, aberrant or illogical mandatory data, queries were sent to local research assistants.

Critical Care

In cases of missing, aberrant or illogical mandatory data, queries were sent to local research assistants.

Critical Care

Both are included in the total computer use variable and some illogical reports are seen in Table  1, which puts light on the limitations of self-reported data.

BMC Public Health

Data managers regularly query data for invalid and illogical values as well as for duplicate record entries.

BMJ Open

Data validation logic was pre-programmed into the survey so that illogical and out-of-range data could not be entered.

BMC Pediatrics

Expert writing Tips

Best practice

Always validate data before drawing conclusions, especially when dealing with large datasets. Identifying and correcting "illogical data" can significantly improve the accuracy of your findings.

Common error

Avoid blindly trusting data without validation. "Illogical data" can arise from various sources, including human error, faulty sensors, or data corruption. Always implement data validation checks to identify and correct such issues.

Linguistic Context

The phrase "illogical data" primarily functions as a noun phrase, where the adjective "illogical" modifies the noun "data". It is used to describe data that does not conform to expected logical patterns or is inconsistent with established facts. Ludwig AI confirms that "illogical data" is correct and usable in English.

Expression frequency: Common

Frequent in

Science

60%

News & Media

20%

Formal & Business

20%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The term "illogical data" refers to information that lacks coherence or violates logical principles. Ludwig AI confirms its validity in English writing, with common usage in scientific, news, and business contexts. When dealing with "illogical data", it is crucial to implement validation checks to identify inconsistencies, document the issues, and decide whether to correct or exclude the data, always maintaining transparency in reporting. Alternatives like "inconsistent data", "invalid data", and "erroneous data" can be used depending on the nuance you want to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

inconsistent data

Focuses on the lack of consistency within the data, rather than its logical flaws.

invalid data

Highlights that the data is not valid or acceptable for its intended purpose.

erroneous data

Emphasizes that the data contains errors or is incorrect.

faulty data

Suggests the data has defects or flaws, making it unreliable.

unreliable data

Highlights the lack of reliability or trustworthiness of the data.

absurd data

Emphasizes that the data is ridiculous or makes no sense.

meaningless data

Focuses on the lack of meaning or significance in the data.

nonsensical data

Indicates the data is without sense or reason.

irrational data

Suggests that the data is not based on reason or logic.

incoherent data

Emphasizes that the data is not logically connected or consistent.

FAQs

How can I identify "illogical data" in a dataset?

You can identify "illogical data" by implementing range checks, consistency checks, and validation rules based on domain knowledge. Look for outliers, impossible values, and inconsistencies between related fields.

What are some alternatives to saying "illogical data"?

You can use alternatives like "inconsistent data", "invalid data", or "erroneous data" depending on the specific context.

What should I do when I find "illogical data" in my research?

First, try to correct the data if possible, based on reliable sources or domain knowledge. If correction isn't possible, consider excluding the "illogical data" from your analysis, but document your decision and its potential impact.

Is it acceptable to remove "illogical data" from a dataset?

Yes, it is often acceptable, and sometimes necessary, to remove "illogical data". However, you should always document your reasons for removing the data and consider the potential impact on the validity of your analysis. Transparent reporting is crucial.