error entry

USAGE SUMMARY

The phrase "error entry" is correct and usable in written English.
It can be used in contexts related to data entry, programming, or any situation where a mistake has been recorded or logged. Example: "The system flagged the error entry, prompting the user to correct the mistake before proceeding."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

5 human-written examples

Dr. Graham offers in return for admission of error, entry into a place of eternal blessedness which he pictures in lush terms using the description of "the holy Jerusalem" in the Book of Revelation.

The New Yorker

In a similar way, key assignments have only a modest effect on the error entry rate.

Cognitive Research: Principles and Implications

For instance, observation #23 (incident angle ≈ 32°) has the greatest non-Lambertian error; therefore, its corresponding error entry x 26 is selected in iteration 4, before other entries.

EURASIP Journal on Image and Video Processing

While the spectra were recorded at d1 = 40 or 60 s, these compounds provided excellent result, devoid from any error (entry 1-3, 9, 11).

Journal of Analytical Science and Technology

The same type of probabilities can be used to predict performance for a quadrant cursor path, where the predicted correct entry probability to reach position k would be π quadrant(k) π row(k) π column(k) and the predicted error entry probability is 1 minus that product.

Cognitive Research: Principles and Implications

Human-verified similar examples from authoritative sources

Similar Expressions

55 human-written examples

As in iterations 1 3, these error entries are also selected in order of their absolute value.

EURASIP Journal on Image and Video Processing

The EC-SOD overexpressing mice averaged 6.34+/-0.22 correct arm entries before an error (entries to repeat) during the acquisition phase, while the control mice averaged 5.18+/-0.22 entoies to repeat.

Duke University

Three of the four highest error entries in this table represent top-layer OPs in phantoms with thin superficial layers (D = 0.22 mm).

Biomedical Optics Express

The latter score (First Errors) was further broken into types as defined by: 1) Prior goal errors (entry to the arm that last served as goal location); 2) Adjacent arm errors (entry to either arm adjacent to the goal location); or 3) Other errors (random entry into any arm other than the correct goal arm, the prior goal arm, or an arm adjacent to the goal).

Behavioral and Brain Functions

The number of errors (entries to previously visited arms) and time to complete each session were recorded.

Acta neuropathologica communications

Because of an editing error, the entry also misstated Expedia's means of disclosing the agreements.

The New York Times

Expert writing Tips

Best practice

When documenting errors, be specific about the type of "error entry". Distinguish between data entry errors, logical errors, and system errors for clarity.

Common error

Avoid using "error entry" as a blanket term. Always specify the nature of the error (e.g., "data entry error", "coding error") to facilitate targeted corrections and prevent recurrence.

Linguistic Context

The phrase "error entry" functions as a noun phrase, typically used to describe an instance where an error has occurred during the process of entering data. Ludwig confirms that this phrase is usable in written English.

Expression frequency: Rare

Frequent in

Science

40%

News & Media

40%

Formal & Business

20%

Less common in

Wiki

0%

Encyclopedias

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "error entry" is a noun phrase denoting an instance of a mistake during data input. Ludwig confirms its correct usage in English. While its frequency is relatively rare, it's essential for technical and professional communication, spanning across science, news, and formal business contexts. It's recommended to specify the type of error for clarity, distinguishing between data entry, logical, and system errors. Using validation rules, controlled vocabularies, and regular audits can help prevent such errors. Ludwig's analysis highlights its descriptive purpose and provides confidence in its appropriate usage.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data entry error

Reorders the words while maintaining the core meaning.

erroneous input

Focuses on the incorrect data being entered.

incorrect data entry

Specifies that the entry of data was not correct.

faulty record

Highlights the resulting record containing the error.

data entry mistake

Replaces "error" with "mistake" clarifying it was a human error during entry.

input error

Concise alternative, focusing on the error during input.

mistyped information

Highlights that the error was likely caused by wrong typing.

invalid entry

Emphasizes the entry is not valid according to the applicable rules.

corrupted data

Suggests the data has become damaged or altered incorrectly during entry.

flawed insertion

Highlights the act of inserting was flawed resulting in an error.

FAQs

How can I prevent "error entry" in databases?

Implement data validation rules, use drop-down menus for controlled vocabulary, and conduct regular audits to identify and correct errors. Double data entry can also reduce "data entry error".

What is the difference between "error entry" and "data corruption"?

"Error entry" refers specifically to mistakes made during the process of entering data, while "data corruption" encompasses any alteration or damage to data, regardless of how it occurred.

What are common types of "error entry"?

Common types include typographical errors, transposition errors (switching numbers or characters), omission errors (leaving out data), and incorrect formatting errors. Consistent training and clear guidelines can minimize these "coding errors".

How does "error entry" affect data analysis?

"Error entry" can skew results, leading to inaccurate conclusions and flawed decision-making. Thorough data cleaning and validation are crucial to minimize the impact of "flawed insertion" on data analysis.