refined data

USAGE SUMMARY

The phrase "refined data" is correct and usable in written English.
It can be used when referring to data that has been processed, cleaned, or improved for clarity and accuracy. Example: "After analyzing the raw data, we were able to produce refined data that provided clearer insights into the trends."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

57 human-written examples

But we now see insurers exploiting geographically refined data to more precisely estimate land parcel risk.

Harvard Business Review

Structure information with Rietveld refined data were obtained by using an X-ray diffractometer.

Catalysis Today

Mr. Dowling said that the first estimate was based on a "rough matrix" of pricing and that the final price was the product of "more refined data".

The New York Times

Firstly, the considered network model induces a temporal model working as a data filtering that extracts refined data representations.

Engineering Applications of Artificial Intelligence

And using the index compiled by the C.D.C., which pays states to submit refined data, would be unaffordable, costing perhaps $30,000 to $50,000 a year.

The New York Times

In future work using more refined data, we intend to revisit the jurisdictional competition for trust funds and to expand our inquiry to include directed trustee statutes and the recent reforms to trust-investment laws.

Harvard University

To accomplish this task with insufficient data of thermophysical properties, we developed an artificial neural network based on which more refined data of thermal conductivity and specific heat of liquid GaIny were obtained.

Applied Thermal Engineering

The bottom line shows the difference between the experimental and refined data.

International Nano Letters

Human-verified similar examples from authoritative sources

Similar Expressions

3 human-written examples

DOI: http://dx.doi.org/10.7554/eLife.05421.015 When the molecular replacement model of thermolysin was refined against the post-refined data, we observed a well-connected electron density feature in the mF o -DF c map near the active site.

eLife

We observed that completeness has an impact on post-refinement procedure and the post-refined data sets.

eLife

We observed two anomalous difference peaks near the active site above 3 σ using the post-refined data sets.

eLife

Expert writing Tips

Best practice

When describing data processing steps, specify what makes the data "refined". For example, mention the specific methods used to clean, filter, or transform the raw data.

Common error

Avoid using "refined data" without context. Instead of simply stating that data is "refined", explain the specific improvements or processes applied to make it more useful or accurate. Be precise about what kind of refinement was applied, for example, if the data was normalized, deduplicated, or statistically adjusted.

Linguistic Context

The phrase "refined data" functions as a noun phrase, where "refined" acts as an adjective modifying the noun "data". According to Ludwig, this phrase is widely used, indicating that it's a standard and acceptable way to describe processed information.

Expression frequency: Very common

Frequent in

Science

50%

News & Media

25%

Academia

15%

Less common in

Formal & Business

10%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "refined data" is a grammatically sound and frequently used term, denoting data that has been processed to enhance its quality and usability. Ludwig AI confirms its correctness and widespread use. This term appears most often in scientific, academic, and news-related contexts, reflecting its relevance in research, analysis, and reporting. When using "refined data", ensure clarity by specifying how the data was processed. Alternatives like "processed data" or "validated data" can be used depending on the specific context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

processed data

Emphasizes the action of processing raw data to make it usable.

cleaned data

Focuses on the removal of errors and inconsistencies.

validated data

Highlights that the data has been checked for accuracy and reliability.

curated data

Suggests careful selection and organization of data.

enhanced data

Indicates that the data has been improved or augmented.

structured data

Focuses on the organization and format of the data.

analyzed data

Highlights that the data has undergone analysis to extract insights.

filtered data

Emphasizes the removal of irrelevant or unwanted data.

improved data

General term indicating data that is better than its original state.

optimized data

Suggests data has been adjusted for maximum efficiency or performance.

FAQs

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

"Refined data" is typically used to describe data that has been processed or improved in some way. For example, "The analysis was based on "refined data" collected over several years" or "Using "refined data", we were able to identify key trends."

What's the difference between "raw data" and "refined data"?

"Raw data" refers to unprocessed, original data, while "refined data" is data that has been cleaned, transformed, and processed to remove errors, inconsistencies, and irrelevant information, making it more suitable for analysis and interpretation.

What are some alternatives to using "refined data"?

Depending on the specific context, you could use alternatives like "processed data", "cleaned data", "validated data", or "curated data". The best choice depends on the specific type of processing that has been applied to the data.

In what contexts is the term "refined data" most commonly used?

The term "refined data" is commonly used in scientific research, data analysis, business analytics, and any field where data is processed to extract meaningful insights. It's prevalent in contexts where raw data needs to be transformed into a usable format for decision-making or reporting.