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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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disaggregated across

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "disaggregated across" is correct and usable in written English.
It is typically used in contexts involving data analysis or research, where information is broken down into smaller components across different categories or groups. Example: "The data was disaggregated across various demographic factors to better understand the trends."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

In this manuscript the excess commuting framework, disaggregated across a number of categories of commuters, is applied using data readily available from the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) database.

If we want to live in a world in 2030, where "no one is left behind", and crucially, where "no target is considered met unless met for all" then we need to ensure that countries have the capacity and capability to monitor and make accessible data that's disaggregated across all social and economic groups.

News & Media

The Guardian

Agricultural land is disaggregated across three categories: (i) marginal lands (farm- households with less than 0.5 acre of cultivated land); (ii) small-scale lands (households with between 0.5 and 2.5 acres land); and (iii) medium- and large-scale lands (household with more than 2.5 acres land – equivalent to one hectare of land).

To evaluate relative flows, researchers would need data tracking government expenditure and development assistance channeled to governments disaggregated across all sectors.

Human-verified similar examples from authoritative sources

Similar Expressions

56 human-written examples

By taking blood samples at various time intervals from various sites, it is demonstrated that PLTs will aggregate and disaggregate across the entire length of the ECC, but only in small numbers and not sufficiently to explain a drop in PLT counts [ 21].

This might need disaggregated analysis across urban and rural areas.

However, with the Annual Health Surveys being conducted under NRHM, disaggregated data across districts in high-focus states will be available from now on for assessing the impact of action.

Random-effects meta-analyses were performed to derive pooled estimates of non-AIDS crude mortality rates across cohorts disaggregated by sex, HIV status and periods in and out of opioid substitution therapy (OST).

Science

AIDS

We calculated national performance across the measures, disaggregated by day of delivery.

Equity country profiles are available for 86 countries, which allow disaggregated data to be compared across indicators and over time for a given country.

In support and promotion of global health inequality monitoring, WHO products aim to provide disaggregated data that are comparable across countries, exemplify how global monitoring can be conducted and reported, and/or encourage discussion about the context and conduct of global health inequality monitoring.

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Expert writing Tips

Best practice

When using "disaggregated across", ensure the categories you are breaking down data by are clearly defined and relevant to your analysis. This enhances clarity and avoids ambiguity.

Common error

Avoid assuming that "disaggregated across" automatically implies a comprehensive breakdown. Be explicit about the dimensions or factors considered to prevent readers from inferring a more detailed analysis than what was actually conducted.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

88%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "disaggregated across" functions as a modifier, indicating how data or information has been broken down and distributed for analysis. It suggests a detailed examination of components within a larger set. Ludwig AI suggests that it's usable in written English.

Expression frequency: Rare

Frequent in

Science

77%

News & Media

15%

Formal & Business

8%

Less common in

Academia

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "disaggregated across" is a phrase used to describe the process of breaking down data into smaller, more manageable units for detailed analysis across different categories. Ludwig AI confirms its grammatical correctness and usability, particularly in academic and scientific contexts. While "disaggregated across" is more common in scientific and formal writing, related phrases like "broken down by" or "categorized by" can serve as alternatives in less formal settings. Ensure that the categories are clearly defined to avoid ambiguity, and be mindful not to overstate the scope of the disaggregation. The phrase facilitates a deeper understanding through granular examination.

FAQs

How can I effectively use "disaggregated across" in a sentence?

Use "disaggregated across" when you want to emphasize that data or information has been broken down into smaller, more detailed categories for analysis across different dimensions. For example: "The survey results were "disaggregated across" age groups and income levels to identify specific trends."

What are some alternatives to "disaggregated across"?

Depending on the context, you could use alternatives like "broken down by", "categorized by", or "analyzed by segment" to convey a similar meaning.

What does it mean for data to be "disaggregated"?

When data is "disaggregated", it means that it has been broken down into smaller, more detailed subcategories or individual data points. This allows for a more granular analysis and a better understanding of underlying patterns and trends. It’s the opposite of aggregated data, which is data that has been combined into larger, summary categories.

In what situations is it most useful to use "disaggregated across"?

It is most useful when you want to show how a larger dataset or category can be broken down into specific components and analyzed across different dimensions or variables. For example, analyzing sales data "disaggregated across" different geographic regions and product lines can reveal valuable insights into market performance.

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Source & Trust

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Authority and reliability

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Expert rating

Real-world application tested

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