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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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data disaggregated

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "data disaggregated" is correct and usable in written English.
It can be used when referring to data that has been separated into distinct categories or groups for analysis. Example: "The report includes data disaggregated by age, gender, and income level to provide a clearer understanding of the trends."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

44 human-written examples

One of these many targets is that, by 2020, the world should "increase significantly the availability of high-quality, timely and reliable data disaggregated by income, gender, age, race, ethnicity, migratory status, disability, geographic location and other characteristics relevant in national contexts".

News & Media

The Guardian

Taking advantage of the availability of crash and traffic data disaggregated by time and space, it is possible to identify the factors that may contribute to crash risks in Hong Kong, including traffic flow, road design, and weather conditions.

We show that prior evidence based on gonorrhea rates overlooked the frequent under-reporting of gonorrhea by race and ethnicity, and present new evidence on the effects of PI laws using more current data on the prevalence of gonorrhea and data that are novel to this literature (i.e., chlamydia rates and data disaggregated by year of age).

Table 3 presents these same data disaggregated into smaller categories of dosage, these being of interest in light of known effects on child outcomes.

These recommendations included a call for data disaggregated by disability, the integration of universal design, and accessibility of information and communication for all disaster survivors, including those with disabilities.

In addition, from the perspective of the 2030 Sustainability Development Goals, the United Nations Office of the High Commissioner for Human Rights OHCHRrecommendsnds to collect and publish official statistical data disaggregated by ethnicity and migration (OHCHR, 2016, p. 6).

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Human-verified similar examples from authoritative sources

Similar Expressions

16 human-written examples

Here, data was disaggregated to provide information on health-seeking behaviour according to location, age, ethnicity, socio-economic status, etc.

The journal also publishes research on computational methods that are employed in productivity analysis, including econometric and mathematical programming techniques, and empirical research based on data at all levels of aggregation, ranging from aggregate macroeconomic data to disaggregate microeconomic data.

Science & Research

Springer

How can aggregate smart meter data be disaggregated into device-level insight?

Among African Americans, data are disaggregated by nativity U.S. black descendants and recent immigrants from the African continent.

Where available, data is disaggregated down to island level.

Formal & Business

Unicef
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Expert writing Tips

Best practice

When writing reports, ensure you specify the criteria used to generate the "data disaggregated" (e.g., age, gender, location) to provide context and clarity.

Common error

Don't use "data disaggregated" without clarifying the method or criteria used for disaggregation. Always specify what the data is disaggregated by to avoid ambiguity.

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 disaggregated" typically functions as an adjective modifying a noun, often to describe the state or type of data being presented. This usage is supported by the numerous examples provided by Ludwig, where the phrase is used to specify that the data has been broken down into smaller, more detailed categories.

Expression frequency: Very common

Frequent in

Science

58%

Formal & Business

26%

News & Media

16%

Less common in

Ludwig's WRAP-UP

In summary, the phrase "data disaggregated" is a grammatically sound and frequently used term, especially within scientific, formal business, and news contexts. As supported by Ludwig, its primary function is to describe data that has been broken down into specific categories for detailed analysis, revealing patterns and disparities that might otherwise be missed. Understanding the nuances of its usage, along with common errors to avoid, ensures clarity and precision in your writing. Alternative phrases like "segmented data" or "broken down data" can be used depending on the specific context.

FAQs

How is "data disaggregated" used in research?

In research, "data disaggregated" is used to analyze specific subgroups within a larger dataset. This allows researchers to identify trends and patterns that might be missed when looking at aggregate data. For instance, data may be disaggregated by age, gender, or ethnicity to understand how these factors influence outcomes.

What does it mean to have "data disaggregated" by gender?

When data is "disaggregated" by gender, it means that the data is separated into two groups: male and female. This allows for analysis of differences and similarities between these groups, which is particularly useful in fields like public health, education, and economics to identify gender-specific trends and disparities.

Why is "data disaggregated" by income important?

"Data disaggregated" by income helps reveal socioeconomic disparities. Analyzing data in this way can highlight inequalities in access to resources, opportunities, and services among different income groups, informing policy decisions aimed at reducing poverty and promoting economic equity.

What are some alternatives to saying "data disaggregated"?

You can use alternatives like "segmented data", "broken down data", or "categorized data" depending on the context. These phrases all convey the idea of data being separated into distinct categories for analysis.

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Most frequent sentences: