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quantitative data segmentation

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "quantitative data segmentation" is correct and usable in written English.
It can be used in contexts related to data analysis, marketing, or research where dividing data into segments based on quantitative measures is discussed. Example: "The marketing team utilized quantitative data segmentation to better understand customer behavior and tailor their strategies accordingly."

✓ Grammatically correct

Academia

Formal & Business

News & Media

Science

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

In order to obtain quantitative data, we implemented an automatic segmentation of islets of Langerhans in xfOCM tomograms based on an active contours algorithm.

Most importantly, using the quantitative data available from tracking and segmentations of complete connectomes, many biological questions can be generated, such as: (i) the relationship between the number of branches and the length of each segment in a population of axons; and (ii) the spatial distribution of motor neurons or the optimal layout of the motor neurons in a population of axons.

Segmentation and extraction of quantitative data from OCT images are challenging [ 23– 25] but are required to facilitate and improve diagnosis.

Our pipeline and novel segmentation procedure may benefit end-users of SR microscopy to analyze their images and extract biologically significant quantitative data about them in user-friendly and fully-automated settings.

Very little quantitative data.

Quantitative data are shown in e.

Science & Research

Nature

Quantitative data are shown in i.

Science & Research

Nature

Quantitative data were depicted in g.

Science & Research

Nature

Quantitative data are means ± s.e.m.m

Science & Research

Nature

Quantitative data are depicted in b.

Science & Research

Nature

Quantitative data are depicted in e.

Science & Research

Nature
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Expert writing Tips

Best practice

When using "quantitative data segmentation", ensure the quantitative metrics are clearly defined and relevant to the segmentation goals.

Common error

Avoid using "quantitative data segmentation" without specifying the quantitative variables or metrics used to segment the data; this makes the process opaque and difficult to replicate.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

60%

Authority and reliability

3/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "quantitative data segmentation" functions as a noun phrase, typically used to describe a process or method. It refers to the act of dividing data into distinct groups or segments based on measurable, numerical criteria. Ludwig indicates that the phrase is grammatically correct but lacks extensive usage examples.

Expression frequency: Missing

Frequent in

Science

0%

News & Media

0%

Formal & Business

0%

Less common in

Science

0%

News & Media

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Formal & Business

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Ludwig's WRAP-UP

In summary, "quantitative data segmentation" is a grammatically sound noun phrase that refers to the process of dividing data based on numerical criteria. Ludwig highlights the phrase's correctness, while also pointing out its limited real-world examples. The phrase is best suited for formal or scientific contexts, where precision and analytical rigor are valued. Effective use of "quantitative data segmentation" requires clear definition of the quantitative metrics used, to avoid ambiguity. Alternatives such as "segmentation of quantitative datasets" or "data segmentation using quantitative methods" can be considered for subtle shifts in emphasis.

FAQs

How can "quantitative data segmentation" be applied in marketing?

In marketing, "quantitative data segmentation" can be used to divide customers into groups based on metrics such as purchase frequency, average order value, or customer lifetime value to tailor marketing strategies.

What statistical methods are commonly used in "quantitative data segmentation"?

Common statistical methods include cluster analysis, regression analysis, and decision trees, which help identify patterns and relationships within quantitative data for effective segmentation.

How does "quantitative data segmentation" differ from qualitative data segmentation?

"Quantitative data segmentation" relies on numerical data and statistical analysis, while qualitative data segmentation uses non-numerical data such as customer feedback or interview transcripts to create segments.

What are some alternatives to "quantitative data segmentation"?

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Source & Trust

60%

Authority and reliability

3/5

Expert rating

Real-world application tested

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