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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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data are missing

Grammar usage guide and real-world examples

USAGE SUMMARY

The sentence 'data are missing' is correct and usable in written English.
You can use this sentence whenever you are referring to pieces of information that are not present or have not been provided. For example, "We are unable to proceed with the analysis because some of the data are missing."

✓ Grammatically correct

Science

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

We will assume these missing data are "missing at random" [ 15].

UAV5D data are missing below 1.0 km.

When data are missing, this is stated in the table.

Data are missing for two stations for 2000.

Some data are missing due to holidays or network causes.

Given their prevalence, researchers must be prepared to address problems that arise when data are missing.

When data are missing, analyzing records that are completely observed may cause bias or inefficiency.

Due to difficulty with calibration, eye-tracking data are missing for one participant.

Note that the dots diverge from the coloured lines where data are missing.

Therefore, the reason why data are missing for some cantons is exogenous.

Thus, these data are missing not only in Fig. 1 but also in Fig. 2.

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Expert writing Tips

Best practice

When reporting that "data are missing", clearly state the reason why the data is not available to maintain transparency and context in your analysis.

Common error

Avoid assuming that all missing data automatically invalidates your analysis. Instead, assess the potential bias and use appropriate methods to address it, such as imputation or sensitivity analysis.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data are missing" functions as a statement indicating the absence of specific information. It is commonly used to acknowledge limitations or problems in research, analysis, or reporting. Ludwig AI confirms its correctness.

Expression frequency: Very common

Frequent in

Science

92%

Formal & Business

7%

News & Media

1%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "data are missing" is a grammatically correct and very common expression used to acknowledge the absence of information, as confirmed by Ludwig AI. Predominantly found in scientific and formal business contexts, it serves to inform audiences about dataset limitations. While alternatives like ""information is lacking"" or ""data is unavailable"" exist, using the original phrase effectively communicates the specific issue. When encountering this situation, transparency and appropriate analytical methods are key.

FAQs

How to use "data are missing" in a sentence?

You can use "data are missing" to indicate the absence of certain information. For example, "We cannot complete the report because some "data are missing"."

What can I say instead of "data are missing"?

Alternatives to "data are missing" include "information is lacking", "data is unavailable", or "data is absent" depending on the specific context.

Is it acceptable to use "data is missing" instead of "data are missing"?

While "data" is technically plural, "data is missing" is sometimes used informally, especially in contexts where "data" is treated as a mass noun. However, ""data are missing"" is generally considered more grammatically correct in formal writing.

What should I do when "data are missing" in my research?

When "data are missing", consider the reasons for the missingness. Depending on the situation, you might explore data imputation techniques, conduct sensitivity analyses, or acknowledge the limitations in your report.

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Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: