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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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visual analysis

Grammar usage guide and real-world examples

USAGE SUMMARY

"visual analysis" is a correct and usable phrase in written English.
You can use it to describe the examination of visual imagery in order to draw conclusions from it. For example, "This article provides a comprehensive visual analysis of the painting in order to determine its cultural significance."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Visualization tools have currently assisted users with the visual analysis of complex and large datasets.

LineUp: visual analysis of multi-attribute rankings.

Santamaría, R., Therón, R. & Quintales, L. BicOverlapper 2.0: visual analysis for gene expression.

Science & Research

Nature

Additionally, the spatial problems recruited some spots of the brain thought to be involved in visual analysis.

News & Media

The New York Times

Our awesome capacity for visual analysis is more often harnessed for entertainment than it is for the classroom.

In both paintings there is ample evidence of the artist's concision, exactness of judgment and remarkable powers of visual analysis.

News & Media

The New York Times

Undermining visual analysis in a world where young people are attacked by visual propaganda every day is terribly short sighted.

News & Media

The Guardian

So does a sophisticated, visual analysis tool reflect human prejudice and if so, who does that effect?

These are determined by visual analysis of the particle trajectories.

Emphasis is placed on visual analysis and impact issues.

These results were confirmed by visual analysis and optical microscopy.

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Expert writing Tips

Best practice

When writing about "visual analysis", specify the type of visual data being analyzed (e.g., images, graphs, videos) to provide clarity and context.

Common error

Avoid using "visual analysis" as a catch-all term. Instead, provide specific details about the methods and techniques employed in the analysis to improve precision and understanding.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

85%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Linguistic Context

The primary grammatical function of "visual analysis" is that of a noun phrase. It typically serves as a subject or object within a sentence, referring to the process or method of analyzing visual information. Ludwig provides numerous examples showcasing this usage.

Expression frequency: Very common

Frequent in

Science

48%

News & Media

27%

Academia

20%

Less common in

Formal & Business

5%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "visual analysis" is a grammatically sound and frequently employed term, signifying the examination and interpretation of visual data. Ludwig AI confirms its correctness and widespread usage across various domains, particularly in science, news, and academia. This analysis underscores the importance of specifying the type of visual data under scrutiny and combining it with other methods to reduce subjectivity. Alternative phrases such as "image analysis" or "optical assessment" can be used depending on the specific context. The extensive examples provided by Ludwig highlight the diverse applications of "visual analysis" in research, technology, and art.

FAQs

How is "visual analysis" used in research?

"Visual analysis" is used in research to examine and interpret visual data, such as images, videos, or graphs, to identify patterns, trends, and relationships. It can be used in a variety of fields, from art history to medical imaging.

What are some tools used for "visual analysis"?

Tools for "visual analysis" range from manual techniques like observation and comparison to software applications that automate pattern recognition and data visualization. Examples include image processing software, statistical analysis packages, and specialized "data visualization" tools.

How does "visual analysis" differ from "quantitative analysis"?

"Visual analysis" focuses on interpreting information through sight, identifying patterns and relationships in visual data. In contrast, "quantitative analysis" relies on numerical data and statistical methods to draw conclusions.

What are the limitations of relying solely on "visual analysis"?

Relying solely on "visual analysis" can be subjective and prone to bias. It is often beneficial to combine "visual analysis" with "quantitative analysis" or other objective methods to increase the reliability and validity of findings.

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Source & Trust

85%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Most frequent sentences: