removed data

USAGE SUMMARY

The phrase "removed data" is correct and usable in written English.
It can be used when referring to data that has been deleted or taken away from a dataset or system. Example: "After the audit, we found that several entries contained errors, so we decided to proceed with the removed data to ensure accuracy."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

56 human-written examples

Mr. Brian said that while Mr. Gundlach and his co-defendants had removed data and files from TCW, the information was purged and destroyed before being used.

The New York Times

This adjusted correlation is used to predict the viscosity reduction for the single removed data point.

Journal of Petroleum Exploration and Production Technology

NIH (and the Wellcome Trust) removed data from public sites; NIH now allows only approved researchers to download pooled data from SNP disease studies.

Science Magazine

In order to avoid constraining due to median or road edges, the authors have removed data obtained from carriageways with a width of less than three lanes.

Journal of Modern Transportation

We removed data that lacked information about the elevation at the well or screen depths, because observation depths at the wells could not be calculated without this information.

Progress in Earth and Planetary Science

A sample of the removed data points are shown in red in Fig. 1 (right panel) which displays a zoomed-in section of the test line.

Mathematics-in-Industry Case Studies

At the receiver, the CP removed data is converted back to the "frequency domain" by performing an N point DFT and is passed to the symbol Detection-Decoding block.

EURASIP Journal on Advances in Signal Processing

Finally, we removed data points for which the magnetic field magnitude measured at Wind (time-shifted by solar wind travel time) did not match that measured at LP to within 20%, thus minimizing the effects of solar wind inhomogeneities and local field compression above strong lunar crustal fields.

Earth, Planets and Space

Human-verified similar examples from authoritative sources

Similar Expressions

3 human-written examples

The processed, i.e. normalized, imputed, and outlier-removed data are provided as supplemental data (Data S1, S2, S3).

Plosone

The daily mean data are calculated with the tide-removed data.

Earth, Planets and Space

The ICI-removed data is fed to the LLR computer to generate more reliable LLRs to further improve the output bit estimate.

EURASIP Journal on Advances in Signal Processing

Expert writing Tips

Best practice

When documenting data processing, clearly state the criteria used for deciding which data to "removed data". This ensures transparency and reproducibility.

Common error

Avoid simply stating that you "removed data" without explaining why. Always provide a rationale, such as "We "removed data" points with missing values to avoid bias in the analysis".

Linguistic Context

The phrase "removed data" functions as a noun phrase often used in scientific, technical, and professional writing. It typically refers to data that has been intentionally taken out from a dataset or analysis. Ludwig AI confirms its correct usage.

Expression frequency: Very common

Frequent in

Science

93%

News & Media

4%

Formal & Business

3%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "removed data" is a grammatically sound and frequently used phrase across diverse fields, particularly in science and research. Ludwig AI highlights that its primary role is to denote the exclusion of specific data points from a dataset, often with the aim of improving analytical accuracy or validity. When using this phrase, it's crucial to provide clear justification for the removal to ensure transparency and credibility. Alternatives such as "deleted data" or "excluded data" can be used based on context. Understanding the nuances of these alternatives allows for precise and effective communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

deleted data

Refers specifically to data that has been erased or eliminated.

eliminated data

Implies a more thorough removal, suggesting that the data is no longer present.

excluded data

Emphasizes the act of preventing certain data from being included in a dataset or analysis.

data excluded

A passive voice construction emphasizing that the data has been actively excluded.

omitted data

Highlights data that was left out or not included from the very beginning.

extracted data

Focuses on the act of taking data out, possibly for analysis or relocation.

withdrawn data

Describes the action of retracting or taking back data that was previously available.

filtered data

Highlights the process of selecting specific data and excluding unwanted portions.

purged data

Suggests a cleansing or thorough removal of unwanted or sensitive information.

cleansed data

Focuses on making the data set more neat and consistent, and removing data that doesn't fit.

FAQs

What does "removed data" mean in research?

In research, "removed data" refers to data points or entire datasets that have been excluded from analysis. This is often done to eliminate outliers, correct for errors, or focus on a specific subset of the data. It's crucial to document the reasons for any data removal.

How do I decide what data should be removed?

Decisions about which data to remove should be based on pre-defined criteria established before the analysis begins. Common reasons include missing values, erroneous entries, or data points that are identified as outliers using statistical methods. Always document your decision-making process transparently.

What are some alternatives to "removed data"?

Depending on the context, you can use alternatives such as "deleted data", "excluded data", or "filtered data". The most appropriate choice will depend on the specific reason for data removal.

Is it acceptable to remove data from a study?

Yes, it is acceptable to remove data from a study under certain circumstances, such as when data is found to be erroneous, incomplete, or introduces bias. However, it's essential to justify these removals transparently and explain the potential impact on the results. Failure to properly justify data removal can raise concerns about the validity of the research.