invalid data

USAGE SUMMARY

"invalid data" is correct and usable in written English.
You can use it when referring to information that is not accurate or has been incorrectly entered or reported. For example, "We received several reports of invalid data on the customer's order form."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Invalid data is +/- HUGE_VAL or NAN.

Stanford University

Invalid data is not used in setting the range.

Stanford University

Invalid data were caused primarily by equipment failures, transect execution errors, or poor plume transport conditions.

Atmospheric Environment

The NRS is vulnerable to masquerading and content poisoning attacks through invalid data registration.

Journal of Network and Computer Applications

The information now contaminated by this invalid data state is in some cases unrecoverable.

Microelectronics Journal

The computerized "switches" that relay information along the Internet can't cope with a flood of invalid data coming from a great many different electronic addresses at once.

The New York Times

But both Rita and Matthias made it clear that conservation had to come before customer satisfaction, and refused to risk us collecting invalid data.

The Guardian - Travel

All records are fully quality-controlled as described in section 'Technical Validation', invalid data have been removed and all missing data are flagged.

Nature

There are always some missing and invalid data in wind measurement, which poses the main challenges for wind energy resources assessment.

Renewable Energy

Specifically, invalid data captured as the equipment is started and shut down need to be filtered, and the filtered data need to be analyzed for different purposes.

Expert Systems with Applications

The proposed modified tracking performance index prevents the probability of invalid data arising from the variations in the tracking error in the absence of an integrator in the plant.

ISA Transactions

Expert writing Tips

Best practice

Always validate data inputs to prevent "invalid data" from entering your system. Implementing checks and constraints can significantly improve data quality.

Common error

Don't assume that data received is automatically correct. Always implement validation routines, even for data from trusted sources, to catch potential instances of "invalid data" that could compromise results or systems.

Linguistic Context

The phrase "invalid data" typically functions as a noun phrase, where "invalid" modifies "data". Ludwig AI confirms this is a standard and acceptable usage, evident in numerous examples.

Expression frequency: Very common

Frequent in

Science

69%

News & Media

12%

Formal & Business

8%

Less common in

Academia

6%

Wiki

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "invalid data" is a common and grammatically correct term used to describe information that is flawed, incorrect, or unusable. As verified by Ludwig, its usage spans various fields, including science, news, and business. It's important to implement measures to prevent the entry of "invalid data" and to validate existing data to ensure accuracy. Related phrases include "incorrect information", "erroneous data", and "faulty data". Recognizing and addressing "invalid data" is crucial for maintaining data quality and reliability.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

incorrect information

Changes "data" to the more general "information" and "invalid" to "incorrect".

erroneous data

Uses the more formal adjective "erroneous" instead of "invalid".

faulty data

Replaces "invalid" with "faulty", suggesting a defect or flaw.

corrupted data

Indicates that the data has been damaged or altered, making it invalid.

inaccurate data

Focuses on the lack of precision or correctness in the data.

unreliable data

Highlights the untrustworthiness of the data.

bad data

A simpler, more informal way to say "invalid data".

defective data

Similar to "faulty data", emphasizing that the data has a defect.

flawed data

Indicates that the data contains errors or imperfections.

unvalidated data

Suggests that the data has not been properly checked or verified.

FAQs

How can I prevent "invalid data" from being entered?

Implement validation rules and checks at the point of data entry. This can include format validation, range checks, and consistency checks to ensure data conforms to expected standards.

What are some common causes of "invalid data"?

Common causes include human error during data entry, system glitches during data transmission, and inconsistencies in data formats between different systems.

What should I do when I encounter "invalid data"?

First, identify the source of the "invalid data". Then, correct the data if possible, or remove it from your analysis to avoid skewing results. Document the incident to prevent future occurrences.

What's the difference between "invalid data" and "missing data"?

"Invalid data" is data that is present but incorrect or unusable, while "missing data" refers to fields where no data is available.