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data quantity

Grammar usage guide and real-world examples

USAGE SUMMARY

'data quantity' is correct and can be used in written English.
For example, you could use it in the sentence: "This research project requires an enormous data quantity to be collected."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Hence, the throughput time decreases for a fixed data quantity.

Meng shows that data quality dominates data quantity in remarkable ways.

But a communication increases though the throughput time for the fixed data quantity.

The performance of the method is improved as the measurement resolution improves and the data quantity increases.

The paper concludes with a discussion of some key data management issues, including data quantity and quality, before drawing conclusions.

A scoring metric allows for direct comparison of data quantity and data quality, and makes transparent the effort made by different sensor operators.

And the prediction data of the model are a little greater than measured data on condition of proper measured data quantity, which is safety in the engineering.

Despite growing popularity of experience sampling methodology (ESM) for evaluations of state-based components of body image, there have been concerns that the frequent repeated measurement might encourage problematic responding resulting in low data quantity and/or quality.

Science

Body Image

In addition, sensitivity studies are performed to explore the effects of prior knowledge, the measurement resolution (i.e., sampling interval), and data quantity (i.e., sampling depth) on selection of the most probable correlation function for soil properties.

The large amount of information and radar-meteorological moments generated by the multi-polarization Doppler radar in conjunction with the bistatic radar receivers represents a great challenge for data processing with respect to performance and data quantity.

Tabulating the accuracy of these estimates from the multiple realizations, we relate the size of 90% and 95% confidence envelopes to the data quantity (number of wells) and model quality (fidelity of ADE interpretation model to actual concentrations in a heterogeneous aquifer with channelized flow).

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Expert writing Tips

Best practice

When discussing the adequacy of data for analysis, clearly state whether the "data quantity" is sufficient or insufficient for the task at hand.

Common error

Avoid using "data quantity" when you actually mean "data quality". Quantity refers to the amount of data, while quality refers to its accuracy and reliability.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data quantity" functions as a noun phrase, typically used as a subject or object within a sentence. It refers to the amount or volume of data being considered. As Ludwig confirms, it's grammatically sound.

Expression frequency: Very common

Frequent in

Science

80%

News & Media

10%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "data quantity" is a grammatically correct and frequently used noun phrase that describes the amount or volume of data. Ludwig confirms its validity. It's commonly used in scientific, news, and business contexts. While a large "data quantity" is often desirable, it's crucial not to confuse it with "data quality", which refers to the accuracy and reliability of the data. Understanding the distinction and proper usage of "data quantity" ensures clear and effective communication in various professional and academic settings.

FAQs

How is "data quantity" used in academic research?

"Data quantity" is often discussed in terms of its impact on the reliability and validity of research findings. A larger "data quantity" can often lead to more statistically significant results.

What is the relationship between "data quantity" and data quality?

While a high "data quantity" is often desirable, it doesn't guarantee high data quality. Data quality refers to the accuracy, completeness, and consistency of the data, which are equally important for reliable analysis.

What are some alternatives to "data quantity"?

Alternatives to "data quantity" include "amount of data", "volume of data", or "data volume", depending on the specific context.

Why is "data quantity" important in machine learning?

In machine learning, the "data quantity" used to train a model significantly impacts its performance. Generally, larger datasets lead to better model accuracy and generalization.

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Source & Trust

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Authority and reliability

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Most frequent sentences: