composite data

USAGE SUMMARY

The phrase "composite data" is correct and usable in written English.
It can be used in contexts related to data analysis, computer science, or statistics, where data is combined from multiple sources or types. Example: "The research team analyzed the composite data from various surveys to draw more accurate conclusions."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

We found similar trend for dose estimates using three different urinary composite data.

Harvard University

Results indicate that NDVI composite data for 15 years proved sufficient for delineating land use change.

Journal of African Earth Sciences

The effectiveness of the SPK model in the pesticide risk assessment was evaluated by comparing dose estimates using different urinary composite data.

Harvard University

Sustainability is a dynamic, complex and composite data relationship among geographically distributed human and environment ecosystems.

Procedia Computer Science

The composite data architecture recognizes the life cycle of data within the corporation.

Data Architecture: a Primer for the Data Scientist Big Data, Data Warehouse and Data Vault

By hiding the underlying and fine-grained processing, composite data services also simplify consumer interactions and data operations.

SOA and Web Services Interface Design Principles, Techniques, and Standards

Further, for compression, all composite data fall below those of the bulk and most of the scaffold.

Acta Biomaterialia

The mechanical properties of the manufactured flax composites were compared with flax composite data cited from some references.

Materials Letters

The global coverage 8 km resolution 15-day composite data set has been used for numerous local to global scale vegetation time series studies during recent years.

Remote Sensing of Environment

A composite data service exposes data-specific functionality and includes a number of subordinate and more fine-grained data service interactions.

SOA and Web Services Interface Design Principles, Techniques, and Standards

We gathered educational and background data on the persons in the composite data set mainly from the websites Businessweek.com, Infoweek.com, and the Marquis Who's Who online database.

Forbes

Expert writing Tips

Best practice

When presenting "composite data", clearly define the individual components and the method used for combining them. This ensures transparency and allows others to understand and replicate your analysis.

Common error

Avoid drawing broad conclusions from "composite data" without acknowledging the limitations of the individual data sources and the potential biases introduced during the aggregation process. Always provide context and caveats.

Linguistic Context

The phrase "composite data" functions as a noun phrase, typically used as a subject or object in a sentence. It refers to data that is created by combining multiple individual data points or datasets. Ludwig examples showcase its usage in various scientific and business contexts.

Expression frequency: Very common

Frequent in

Science

57%

Academia

12%

News & Media

9%

Less common in

Formal & Business

8%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "composite data" refers to information derived from combining multiple sources. Ludwig AI confirms that the term is grammatically correct and frequently used, especially in scientific and academic writing. When using "composite data", it's important to define its components clearly and acknowledge its limitations. Alternatives include "aggregated data" or "combined dataset". By understanding its usage and potential pitfalls, you can effectively incorporate "composite data" into your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Aggregated data

Focuses on the process of gathering data into a summary form for statistical analysis.

Combined dataset

Highlights the act of merging multiple datasets into a single, unified collection.

Integrated information

Emphasizes the process of combining different pieces of information into a cohesive whole.

Unified data

Stresses the creation of a single, consistent dataset from disparate sources.

Blended data

Suggests a mixture of data, often used when combining different data types or formats.

Merged data

Similar to "combined dataset", but with a stronger emphasis on the act of merging.

Compiled data

Indicates a collection of data gathered from various sources and organized into a single format.

Collated data

Focuses on the systematic gathering and arranging of data from diverse sources.

Synthesized data

Emphasizes the process of creating new data by combining and interpreting existing data.

Composite indicators

Specifically refers to indicators that are created by combining multiple individual indicators.

FAQs

How is "composite data" used in research?

"Composite data" is used in research to combine multiple data sources or variables into a single measure or dataset. This allows researchers to analyze complex phenomena that cannot be adequately captured by a single variable. For example, researchers might combine economic indicators, social factors, and environmental metrics to create a "composite data" set for assessing sustainable development.

What are the benefits of using "composite data"?

Using "composite data" can provide a more comprehensive and nuanced understanding of a topic compared to analyzing individual data points in isolation. It can also help to reduce the impact of measurement error and increase the reliability of findings. It can also reveal insights that wouldn't be apparent from individual data sets.

What are some potential alternatives to "composite data"?

Alternatives to "composite data" include "aggregated data", "combined dataset", or "integrated information" depending on the specific context and the nature of the data being combined. Consider the context to pick the best alternative.

What are the limitations of using "composite data"?

One limitation is the potential for masking important differences between individual data sources. It's also crucial to be aware of the assumptions and weighting schemes used to create the "composite data", as these can significantly influence the results. Finally, data quality needs to be ensured.