desired level of granularity

USAGE SUMMARY

The phrase "desired level of granularity" is correct and usable in written English.
It can be used when discussing the specific detail or precision required in a particular context, such as data analysis or project planning. Example: "In our report, we need to ensure that we achieve the desired level of granularity to accurately reflect the findings."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

X-nets enable the system to control actions at a desired level of granularity, while providing a mechanism for language requests to be processed asynchronously.

University of California, Berkeley

For example, multiple exams are sometimes given in the same subjects and grades to the same students because not all results yield data by item, grade, subject, student, or school thereby prompting districts to give another exam in order to get data at the desired level of granularity.

The Washington Post

The rule-based setting in which neural networks are interpreted provides a convenient way of expressing knowledge in a transparent and modular manner and at a desired level of granularity (specificity).

Neurocomputing

Having the proof assistant work at the desired level of granularity provides more opportunity for insight during the proof discovery process.

SEP

— quickly giving actionable insight at a desired level of granularity)." It's also possible this is beginner's luck; however, Dr. Sheth's research team has been conducting this research for some time.

TechCrunch

Agent-based models provide for the exploration of interactions of arbitrary complexity and naturally incorporate the desired level of granularity (e.g. individual-based or lineage-based models) and the stochasticity of the processes involved.

Biology Direct

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

Specify the desired level of quality.

WikiHow

These can be selected down to the level of granularity that is known and/or desired by the submitter.

Human Mutation

Another set, another level of granularity was to label 60.

Massachusetts Institute of Technology

The real power of the MRI comes at the next level of granularity.

Harvard Business Review

This is much too fine a level of granularity.

Information and Software Technology

Expert writing Tips

Best practice

When writing about data or analysis, explicitly state the "desired level of granularity" to ensure clarity and avoid ambiguity. This helps the reader understand the scope and limitations of your findings.

Common error

Avoid assuming your audience shares your understanding of what constitutes an appropriate "desired level of granularity". Always provide context or examples to illustrate what you mean.

Linguistic Context

The phrase "desired level of granularity" functions as a noun phrase, typically used as an object or complement within a sentence. It specifies the degree of detail or precision that is aimed for or required in a particular context. As Ludwig AI highlights, this can range from data analysis to project management.

Expression frequency: Uncommon

Frequent in

Science

45%

News & Media

30%

Academia

25%

Less common in

Formal & Business

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "desired level of granularity" refers to the degree of detail or precision required in a given context. As Ludwig AI has shown, it's grammatically correct and most commonly found in scientific, news media, and academic texts. To use it effectively, ensure that you define what constitutes an appropriate level of detail for your audience. Common errors include assuming shared understanding and overlooking the context. Alternatives like "preferred level of detail" or "optimal level of specificity" can be used to add variety to your writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

preferred level of detail

Replaces "granularity" with "detail", emphasizing the level of specificity required.

required degree of precision

Focuses on the accuracy and exactness needed, rather than the level of detail.

optimal level of specificity

Highlights the importance of choosing the most appropriate level of detail.

appropriate level of resolution

Uses "resolution" to convey the clarity and fineness of the detail.

necessary level of refinement

Emphasizes the need for fine-tuning and precise adjustment.

target level of accuracy

Shifts focus to the intended correctness and exactness.

intended level of depth

Replaces granularity with the concept of investigating at the desired depth of knowledge.

chosen level of abstraction

Highlights the selection of appropriate detail for a particular representation.

selected degree of fineness

Focuses on how fine or coarse the level of detail is.

specific scope of analysis

Focuses on the breadth and depth of the analysis being undertaken.

FAQs

How can I determine the "desired level of granularity" for my analysis?

The "desired level of granularity" depends on the purpose of your analysis, the available data, and the needs of your audience. Consider what level of detail is necessary to answer your research questions or achieve your objectives.

What does "granularity" mean in the context of data analysis?

"Granularity" refers to the level of detail or specificity in a data set. A higher level of granularity means more detail, while a lower level means more aggregated or summarized data.

What are some alternatives to saying "desired level of granularity"?

You can use alternatives like "preferred level of detail", "required degree of precision", or "optimal level of specificity" depending on the context.

Why is choosing the right "level of granularity" important?

Choosing the appropriate "level of granularity" is crucial for effective analysis. Too much detail can obscure important trends, while too little detail can lead to inaccurate conclusions. It needs to be just right to provide actionable insight.