multiplicity of data

USAGE SUMMARY

The phrase "multiplicity of data" is correct and usable in written English.
It can be used when discussing the variety or abundance of data available in a particular context, such as research or analysis. Example: "The study revealed a multiplicity of data that highlighted various trends in consumer behavior."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

24 human-written examples

Although we examined three common sources of multiplicity of data in trial reports, there are other types of multiple data in trial reports for example, different types of analysis such as intention to treat and per protocol analyses.

British Medical Journal

Furthermore, ignoring the multiplicity of data inflates sample size and thus may lead to spurious significance.

The Journal of Hand Surgery: British & European Volume

The multiplicity of data collection efforts that are unaligned, duplicative, burdensome and expensive is harming progress towards reaching sustainable development.

Huffington Post

Inference on model parameters using a multiplicity of data sources is challenging.

Epidemics

Conclusions Multiplicity of data can affect the findings of systematic reviews and meta-analyses.

British Medical Journal

Authors of systematic reviews should anticipate and consider the multiplicity of data in trial reports when writing protocols.

British Medical Journal

Human-verified similar examples from authoritative sources

Similar Expressions

36 human-written examples

The first change is in relation to generating itemsets, in that the performance of traditional data mining algorithms, that is trivial, becomes complex in a multi-relational approach, since it must contemplate a larger amount of information due to the multiplicity of sources data.

Human-centric Computing and Information Sciences

We might not know the order or multiplicity of the data that were used, but we do know what types, and exactly what types, were relevant to the successful processing.

SEP

It is very useful in the medical research field for estimation, diagnosis, prognosis, evaluation of epidemiological factors, and other problems based on multiplicity of attribute data.

Environmental Health Perspectives

The multiplicity d k of data packet p k is the number of coding sets in (mathcal {S}_{s}) that comprise p k.

EURASIP Journal on Advances in Signal Processing

"We think that is unacceptable, and have pioneered methods to collect a multiplicity of anonymized face data from around the world in order to balance our training models.

TechCrunch

Expert writing Tips

Best practice

When using the phrase "multiplicity of data", ensure the context clearly indicates that you are referring to a large number or variety of data sources, types or sets. This will avoid ambiguity and improve clarity.

Common error

Avoid using "multiplicity of data" when you simply mean a large quantity of the same data. "Multiplicity" implies variety and diversity, not just volume. Use "large amount of data" or "extensive data" instead if the data lacks variety.

Linguistic Context

The phrase "multiplicity of data" functions as a noun phrase, typically serving as the subject or object of a sentence. It refers to the state of having multiple instances of data, often implying variety or abundance. Ludwig AI confirms its usability in written English.

Expression frequency: Common

Frequent in

Science

65%

News & Media

20%

Formal & Business

15%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "multiplicity of data" is a noun phrase used to describe the presence of numerous and diverse data sets or points. Ludwig AI confirms it's grammatically correct and usable, particularly in formal and scientific contexts. While alternatives like "abundance of data" or "variety of data" exist, "multiplicity" highlights both quantity and diversity. When writing, ensure you intend to convey variety and not just a large amount of similar data. This phrase is commonly found in scientific research, news reports, and business analysis, making it a versatile term for describing information-rich environments.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

abundance of data

Replaces "multiplicity" with "abundance", emphasizing the plentiful quantity of data.

variety of data

Replaces "multiplicity" with "variety", highlighting the diverse nature of the data.

diversity of data

Uses "diversity" instead of "multiplicity", focusing on the different types of data available.

plethora of data

Employs "plethora" to indicate a very large and often excessive amount of data.

range of data

Focuses on the scope and extent of the data available.

wealth of data

Highlights the richness and value of the data available.

profusion of data

Indicates a large and extravagant amount of data.

large volume of data

Replaces "multiplicity" with a more explicit description of quantity.

extensive data set

Shifts the focus to the comprehensiveness of the data collection.

numerous data points

Emphasizes the individual pieces of data contributing to the overall collection.

FAQs

How can I use "multiplicity of data" in a sentence?

You can use "multiplicity of data" to describe situations where there are many different types or sources of data, such as, "The research project benefited from the "multiplicity of data" available from various governmental agencies."

What's a good alternative to "multiplicity of data"?

Depending on the context, alternatives to "multiplicity of data" include "abundance of data", "variety of data", or "diversity of data".

When is it appropriate to use "multiplicity of data"?

It is appropriate to use "multiplicity of data" when you want to emphasize the variety and number of data sources or types, particularly in research, analysis, or decision-making contexts.

Is "multiplicity of data" formal or informal language?

"Multiplicity of data" is considered relatively formal and is suitable for academic, scientific, or professional writing. In more casual contexts, simpler terms like "lots of data" or "many kinds of data" might be more appropriate.