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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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size of data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "size of data" is correct and usable in written English.
It can be used when discussing the amount or volume of data in a specific context, such as data analysis, storage, or transmission. Example: "The size of data collected during the experiment was larger than anticipated, requiring additional storage solutions."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Another difficulty with print is the size of data collection.

Algorithm reduces size of data sets while preserving their mathematical properties.

Moreover, a growing dependency on large-scale IT and the internet has generated strong growth in the number and size of data centres, despite the global recession.

News & Media

The Guardian

This makes the complexity of resource allocation problem increases with the size of data center.

Essentially the derived solution is related to an existing weighted least-squares method with class-specific weights set according to the size of data set.

Accordingly, the size of data pool grows from one sort of molecule to the number of solution assignments.

Science

Biosystems

Plus, people over estimate the size of data they have.

News & Media

TechCrunch

It's tempting to think that the sheer size of data available can get around the issue.

News & Media

TechCrunch

Linear O(N) dependency on the size of data.

The size of data is not critical factor.

Figure 9 Different variance on size of data chunk.

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Expert writing Tips

Best practice

When comparing datasets, quantify the "size of data" to highlight differences, like 'Dataset A is significantly larger than Dataset B, with a size of 10TB compared to 1TB'.

Common error

Avoid overestimating the "size of data" you'll need for a project, as this can lead to unnecessary expenses on storage and infrastructure. Start with a realistic estimate and scale up as needed.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

85%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "size of data" functions primarily as a noun phrase. It's used to describe the extent or magnitude of information that is being considered, processed, or stored. Ludwig AI confirms its correct usage across diverse contexts.

Expression frequency: Very common

Frequent in

Science

45%

News & Media

25%

Academia

15%

Less common in

Formal & Business

10%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

In summary, "size of data" is a grammatically sound and versatile noun phrase widely used across diverse domains to denote the magnitude of information. Ludwig AI confirms its correctness and prevalence in academic, scientific, news, and business contexts. While alternatives like "data volume" and "amount of data" exist, "size of data" remains a common and acceptable choice. Remember to use precise units when quantifying the "size of data", and be mindful of overestimating storage needs. Its frequent appearance in authoritative sources underscores its relevance in today's data-driven world.

FAQs

How can I accurately describe the "size of data" in a research paper?

Use precise units (e.g., MB, GB, TB) and provide context. For example, "The dataset comprised 50 GB of image data" or "The sample size included 10,000 participants with 2 GB of demographic information".

What are some alternatives to saying "size of data"?

You can use alternatives like "data volume", "amount of data", or "data quantity" depending on the specific context.

Is it better to use "size of data" or "data size"?

"Data size" is generally more concise and common in technical writing. However, "size of data" is also grammatically correct and can be used for emphasis or clarity. The choice often depends on stylistic preference and the surrounding text.

How does the "size of data" affect machine learning model performance?

Generally, larger datasets can improve model accuracy and generalization. However, extremely large datasets may also require more computational resources and careful management to avoid overfitting. The ideal "size of data" depends on the complexity of the problem and the algorithm used.

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Source & Trust

85%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: