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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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data were transformed

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "data were transformed" is correct and usable in written English.
It can be used in contexts where you are discussing the process of changing or converting data from one format or structure to another. Example: "After the initial analysis, the data were transformed to ensure compatibility with the new software."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Significantly skewed data were transformed using arcsin transformations.

Science

Brain

Data were transformed to improve normality using Box Cox transformation.

Then, the data were transformed into factors.

Raw FastScantm data were transformed according to bony landmarks.

Data were transformed into logarithmic (base 10) values for analysis.

The population data were transformed to log (CFU/g).

In the second study, the raw data were transformed using van der Waerden quantile normal scores.

The data were transformed and double referenced to remove systematic deviations seen in the binding responses.

The data were transformed into the system aligned along the corrected geomagnetic (CGM) coordinates.

The data were transformed logarithmically, and mean percentage cross-pollination was compared to high cross-pollination.

The data were transformed and presented in their natural logarithm forms.

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Expert writing Tips

Best practice

When using "data were transformed", clearly specify the transformation method (e.g., logarithmic transformation, Box-Cox transformation) to ensure clarity and reproducibility.

Common error

Avoid using "data were transformed" without specifying how. Always include the type of transformation (e.g., log transformation, z-score normalization) to provide context and allow for replication.

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 were transformed" functions as a statement of data manipulation. It indicates that a process has been applied to modify the data's form or structure. Ludwig confirms that this phrase is grammatically correct and usable in written English.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "data were transformed" is a grammatically sound phrase widely employed in scientific and technical writing to denote data modification. As highlighted by Ludwig, it's crucial to specify the type of transformation applied for clarity and reproducibility. Predominantly found in scientific literature, the phrase serves to inform readers about data processing steps, ensuring transparency in research methodologies. Understanding the context and purpose behind data transformation is key to interpreting results accurately.

FAQs

How do I use "data were transformed" in a sentence?

Use "data were transformed" when you want to describe that a dataset has been changed from one form to another, often for statistical analysis or visualization. For example: "To meet the assumptions of normality, the data were transformed using a logarithmic function."

What can I say instead of "data were transformed"?

You can use alternatives like "data were converted", "data were modified", or "data underwent transformation" depending on the specific context and nuance you want to convey.

Which is correct, "data was transformed" or "data were transformed"?

"Data" is generally considered plural in scientific and technical contexts; therefore, "data were transformed" is typically the correct usage. However, "data" can be used as singular in informal usage; in that case, you should write “"data was transformed"”.

Why is it important to specify what kind of transformation when reporting that "data were transformed"?

Specifying the transformation method (e.g. log transformation, normalization, standardization) ensures transparency, reproducibility, and allows readers to understand the specific manipulations applied to the data. Without this information, the results may be difficult to interpret or replicate.

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Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: