disaggregation by year

USAGE SUMMARY

The phrase "disaggregation by year" is correct and usable in written English.
It can be used in contexts where data or information is being broken down or analyzed by individual years, often in reports or analyses. Example: "The report includes a disaggregation by year to highlight trends in sales performance over time."

✓ Grammatically correct

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

Results of higher male elasticity are robust to the use of a more parsimonious specification, a discrete-time approach, the use of job spell data for a single year, and disaggregation by region.

IZA Journal of Development and Migration

b Disaggregation by land use.

Open Geospatial Data, Software and Standards

However, disaggregation by type of knowledge reveals important differences.

Appetite

Protein disaggregation by the BAP/ClpP complex remains dependent on DnaK, defining a role for DnaK at early stages of the disaggregation reaction.

Cell

Few injury prevention strategies in sports and health promotion have explored disaggregation by disability.

Injury Epidemiology

First and foremost, standard sources of mortality data do not permit disaggregation by ignition source.

Injury Epidemiology

A third key contribution, finally, is the additional disaggregation by groups of regions based on a cluster analysis.

SERIEs

The latter is used for sectoral labour income disaggregation by skill level according to the National Occupational Classification (NOC) matrix15.

IZA Journal of Labor Policy

However, the availability of data in terms of disaggregation by countries of origin varies within and across sources.

IZA Journal of Migration

While Senator Heller's leadership demonstrates that support for data disaggregation crosses party lines, sadly, Governor Jerry Brown's veto this fall of legislation that would have required data disaggregation by California's publicly-funded universities and community colleges (which passed nearly unanimously) shows that opposition does not fall on one side of the aisle, either.

Huffington Post

This disaggregation by wealth is critical to targeting efforts to reduce maternal mortality and is an important addition to earlier analyses.

Plosone

Expert writing Tips

Best practice

When using "disaggregation by year", ensure that the data being presented is clearly defined and that the purpose of the disaggregation is evident to the reader. For instance, specify whether you are analyzing sales data, population statistics, or environmental metrics.

Common error

Avoid using "disaggregation by year" without a clear analytical goal. Disaggregation is not merely about breaking down data; it's about revealing meaningful patterns or trends that would otherwise be obscured. Ensure that the disaggregated data leads to actionable insights or a deeper understanding of the subject matter.

Linguistic Context

The phrase "disaggregation by year" functions as a prepositional phrase that modifies a noun or verb, indicating how data or information is categorized or analyzed. It describes the method of separating data into yearly segments. Ludwig AI confirmed the phrase is correct and usable in English.

Expression frequency: Missing

Frequent in

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Less common in

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Ludwig's WRAP-UP

In summary, "disaggregation by year" is a grammatically correct and usable prepositional phrase employed to specify that data is segmented and analyzed on a yearly basis. While Ludwig AI confirms its validity, there are no direct examples in the provided search data, so its frequency is currently rated as missing. Alternative phrasing includes "yearly breakdown" or "annual disaggregation". It is most appropriate in formal, analytical contexts where precise data presentation is required. It's crucial to ensure clear data definitions and analytical goals when employing the phrase.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

annual disaggregation

Replaces 'by year' with 'annual,' a direct synonym emphasizing the yearly aspect.

data breakdown by year

Adds 'data' to clarify the subject being disaggregated, slightly more explicit.

yearly breakdown

Changes the structure to a simpler noun phrase; emphasizes the action of breaking down data.

year-specific disaggregation

Emphasizes the specificity of the disaggregation to individual years.

yearly data segmentation

Replaces 'disaggregation' with 'segmentation,' focusing on dividing data into segments by year.

year-wise segregation

Substitutes 'disaggregation' with 'segregation' and restructures to emphasize separation by year.

separation by year

Offers a more straightforward term for separating by year.

by-year decomposition

Uses 'decomposition' to suggest a more detailed breakdown; stylistic variation.

annual data analysis

Broadens the scope to include 'analysis,' suggesting a deeper investigation of yearly data.

annual stratification

Replaces disaggregation with stratification which refers to arrangement or classification.

FAQs

What does "disaggregation by year" mean?

It refers to the process of breaking down data or information into smaller parts, specifically organized and categorized according to individual years. This allows for a detailed analysis of trends and changes over time.

How is "disaggregation by year" used in data analysis?

In data analysis, "disaggregation by year" enables analysts to examine annual trends, identify seasonal patterns, and compare performance across different years. It's essential for understanding the temporal dynamics of the data.

What are some alternatives to "disaggregation by year"?

Alternatives include "yearly breakdown", "annual disaggregation", or "year-wise segregation". The best choice depends on the specific context and desired level of formality.

When is it appropriate to use "disaggregation by year" in a report?

It is appropriate when you need to highlight annual variations, show year-over-year changes, or analyze the impact of specific events on the data over a multi-year period. It helps in understanding trends and making informed decisions based on temporal patterns.