full data set

USAGE SUMMARY

The phrase "full data set" is correct and usable in written English.
It can be used when referring to a complete collection of data points or information relevant to a particular analysis or study. Example: "In order to conduct a thorough analysis, we need to ensure that we have the full data set available for review."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

(e) A summary of the slopes for MH, PH and the full data set.

Nature

But the full data set, obtained by the Center for Investigative Reporting, shows a mixed bag.

The Washington Post

For the full data set via New Organizing Institute, click here.

The Washington Post

The full data set for the Copyright Renewals Database is available for download.

Stanford University

The full data set is publicly available via https://osf.io/bveyw/ (Carbon and Gebauer, 2017) [2].

Data in Brief

For both models, analyzing selected variables was superior to full data set analysis.

Early Human Development

Top: full data set.

Geothermal Energy

Full data set below.

TechCrunch

Q: Who can 'get away with' not looking at the full data set?

Forbes

If you're interested in tinkering, you can find the full data set here.

TechCrunch

These companies, however, are included in the full data set available here.

Forbes

Expert writing Tips

Best practice

When referring to a "full data set", ensure that all relevant fields and variables are included and properly documented. Clarify whether the term refers to raw, processed, or imputed data to avoid ambiguity.

Common error

Avoid assuming that a "full data set" is entirely free of errors or missing values. Always perform data quality checks and validation procedures to ensure accuracy and reliability before analysis.

Linguistic Context

The phrase "full data set" primarily functions as a noun phrase. It identifies a complete collection of data points or information. Ludwig AI indicates that this phrase is grammatically correct and usable in various contexts.

Expression frequency: Very common

Frequent in

Science

64%

News & Media

24%

Academia

6%

Less common in

Formal & Business

2%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "full data set" is a grammatically sound and frequently used term to refer to the entirety of a collection of data. Ludwig AI confirms its correctness and usability across various contexts, particularly in science, news, and academic writing. While alternatives such as "complete data set" or "entire dataset" exist, "full data set" clearly communicates the scope of the data being discussed. When using this phrase, ensure that the completeness of the data is verified and clearly defined to avoid potential misunderstandings. It is best used in neutral to formal registers where precise communication is important.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

complete dataset

This alternative uses 'complete' instead of 'full', emphasizing the entirety of the data.

entire dataset

Using 'entire' in place of 'full' highlights the wholeness and comprehensiveness of the data.

comprehensive data

This alternative replaces 'set' with 'data' and uses 'comprehensive', stressing the thoroughness of the information.

total dataset

The word 'total' is used instead of 'full', focusing on the aggregate amount of data.

unabridged data

Replacing 'full' with 'unabridged' suggests that the data is complete and without omissions.

exhaustive data

Using 'exhaustive' instead of 'full' stresses the thoroughness and completeness of the data collection.

inclusive data

This alternative emphasizes that the data includes all relevant information.

overall dataset

The term 'overall' is used to denote the entirety of the data, similar to 'full'.

aggregated data

This phrase focuses on the combined nature of the data, implying completeness.

raw data

Using 'raw data' instead of 'full data set' suggests data has not been processed, which can imply full original extraction.

FAQs

How is the phrase "full data set" typically used in research papers?

In research, "full data set" often refers to the complete collection of data points used for analysis. It's important to specify details like sample size, variables, and any preprocessing steps taken. For example, stating, "The analysis was conducted using the "complete data set", including all responses from the survey," provides clarity.

What are some alternatives to "full data set" that I can use in my writing?

Depending on the context, you can use alternatives like "comprehensive data", "entire dataset", or "total dataset". These options emphasize completeness and thoroughness.

Is it necessary to always use the term "full data set", or can I sometimes omit "full"?

While "full data set" emphasizes completeness, sometimes "data set" alone is sufficient if the context clearly implies that you are referring to the entire collection. However, using "full" is beneficial when you want to differentiate it from a subset or a sample.

What does it mean when a study refers to analyzing a subset instead of the "full data set"?

Analyzing a subset means focusing on a smaller, specific portion of the data. This might be done to isolate certain variables, examine a particular demographic, or address specific research questions. Conversely, analyzing the "entire dataset" provides a broader overview.