complete data set

USAGE SUMMARY

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

✓ Grammatically correct

Science

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

[7], all of which based on the complete data set.

Journal of Inequalities and Applications

For the complete data set ten runs with different random start positions were analysed accordingly.

Plosone

A complete data set to 2.9 Å was collected at 90K from CHESS beamline A1.

Plosone

The complete data set is freely available at GEO (accession no. GSE19062).

Plosone

The complete data set comprised 17712 sequences from 136 serum samples derived from 111 patients.

Plosone

As a result, all models used the same complete data set of N = 1483.

Plosone

1500 genes were selected and were used to normalize the complete data set.

Plosone

Complete data set: 25 countries.

FAO

This is a reasonably complete data set.

Cochrane Database of Systematic Reviews

Copies of the complete data set are available from LAR.

BMC Evolutionary Biology

b Means of 65 subjects with the complete data set.

BMC Psychiatry

Expert writing Tips

Best practice

Always double-check your "complete data set" for errors and outliers, as these can significantly impact the validity of your conclusions.

Common error

A common mistake is to assume a data set is "complete" without thoroughly verifying its integrity and coverage. Always validate your data against expected parameters and potential missing values to ensure true completeness.

Linguistic Context

The phrase "complete data set" functions as a noun phrase, typically serving as the subject or object of a sentence. As evidenced by Ludwig, it refers to a full collection of data used for analysis or research.

Expression frequency: Very common

Frequent in

Science

89%

Formal & Business

7%

News & Media

4%

Less common in

Social Media

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "complete data set" is a common and grammatically sound term, primarily used within scientific and formal contexts to denote a comprehensive collection of data essential for analysis and research. Ludwig AI confirms its usability. Alternatives such as ""full dataset"" or ""comprehensive dataset"" can be used depending on the desired emphasis. A key practice involves verifying the data's integrity to ensure it truly represents a "complete" set, avoiding assumptions that could compromise analytical validity.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

full dataset

Change in wording while retaining the original meaning.

entire dataset

Simple synonym replacement to express completeness.

exhaustive data set

Emphasizes thoroughness and comprehensiveness in data collection.

comprehensive dataset

Highlights the extensive nature of the data.

total dataset

Focuses on the data quantity.

unabridged dataset

Implies that no data points are missing or truncated.

integrated data set

Highlights the combination of different data sources into a single collection.

consolidated data set

Highlights how various data points have been brought together.

holistic data collection

Change from noun to noun, while retaining the original meaning.

comprehensive record

Change from noun to noun, while retaining the original meaning.

FAQs

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

In research, "complete data set" is used to indicate that all necessary data points for a study or analysis have been collected and are available for use. This implies that there are no significant gaps or missing information that could compromise the validity of the results.

What does it mean to have a "complete data set" in statistics?

In statistics, a "complete data set" typically refers to a dataset where all variables have values for every observation. However, depending on the context and analysis, researchers may accept a data set as "complete" even with a small percentage of missing values, especially if these are handled appropriately using imputation or other methods.

What are some alternatives to saying "complete data set"?

Alternatives to "complete data set" include "full dataset", "entire dataset", or "comprehensive dataset". The best choice depends on the specific nuance you want to convey.

How can I ensure I have a "complete data set"?

Ensuring a "complete data set" involves careful planning during data collection, thorough verification processes, and appropriate handling of any missing data. This may include strategies such as setting clear inclusion/exclusion criteria, using reliable data sources, and employing imputation techniques when necessary.