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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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diverse data

Grammar usage guide and real-world examples

USAGE SUMMARY

'diverse data' is correct and usable in written English.
It describes a collection of data that is varied or composed of varying elements. For example: "This research project examined the effects of various interventions by collecting and analyzing diverse data from a variety of sources."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Collecting data, particularly diverse data, is not an easy thing.

Identifiability is improved if diverse data types are used for parameter estimation.

A major challenge involves the integration of these diverse data sets into one comprehensive community resource.

Other departments may have diverse data demands or may need to use data in ways they can't clearly articulate.

Researchers have built a system to create a larger and more diverse data set on which to train medical AI.

KBase links these diverse data types with a range of analytical functions within a web-based user interface.

Science & Research

Nature

In many ways this is big data in its purest form - the combining of multiple diverse data streams in pursuit of real or near-real time insights.

News & Media

The Guardian

The vast and diverse data generated from recent large-scale genomic projects have no precedent.

The stress state is quantitatively characterised based on the inferences obtained from diverse data sources.

Considering the diverse data sources and assumptions of the two models it can be concluded that they agree remarkably well.

Emphasis is on representation and integration of the many diverse data sources, and their presentation for biomedical and pharmaceutical researchers.

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Expert writing Tips

Best practice

When using "diverse data", clearly specify the types of diversity present in the data to enhance clarity and impact.

Common error

Avoid using "diverse data" as a vague descriptor. Instead, specify how the data is diverse (e.g., "data diverse in demographic representation" or "data diverse in collection methods") to provide meaningful context.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "diverse data" functions as a noun phrase where the adjective "diverse" modifies the noun "data". This phrase is commonly used to describe datasets that include a variety of different data types or data from various sources. As Ludwig AI confirms, it's grammatically correct and usable.

Expression frequency: Very common

Frequent in

Science

48%

News & Media

38%

Academia

8%

Less common in

Formal & Business

6%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The term "diverse data" is a grammatically sound and frequently used phrase, as confirmed by Ludwig AI, to describe a varied collection of data points. Its main function is to highlight the heterogeneity within a dataset, often to emphasize its comprehensive nature. Usage is prevalent in scientific, academic, and news media contexts. The key is to specify the nature of the diversity, avoiding vagueness, and ensuring that the data's variety enhances the analysis or model it supports. Alternatives like "varied data" or "heterogeneous data" can be used depending on the desired nuance.

FAQs

How can I use "diverse data" in a sentence?

You can use "diverse data" to describe datasets that include a variety of different data types or data from various sources. For example, "The study utilized "varied data" to ensure a comprehensive analysis."

What are some alternatives to "diverse data"?

Alternatives include "heterogeneous data", "varied data sets", or "data from multiple sources". The best choice depends on the specific context and the type of diversity you want to emphasize.

Why is it important to use "diverse data" in machine learning?

Using "diverse data" helps to reduce bias in machine learning models and ensures that the models perform well across different populations and scenarios. Without "inclusive data", models may perpetuate existing inequalities.

What challenges are associated with collecting "diverse data"?

Collecting "diverse data" can be challenging due to issues such as privacy concerns, difficulty in accessing certain populations, and the need for specialized tools and techniques to handle "complex data sets".

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Source & Trust

82%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Most frequent sentences: