complete data

USAGE SUMMARY

"complete data" is correct and usable in written English.
It usually refers to a set of data that is comprehensive and contains all of the relevant information. For example, "We gathered complete data on the success of the marketing campaign."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Some departments share reasonably complete data.

The Guardian

The Global Slavery Index may be unique in one other regard – complete data transparency.

The Guardian

The figures cover 1990 to 1997, the latest years for which complete data is available.

The New York Times

But the F.D.A. may also have had access to more complete data.

The New York Times

The Environmental Department said more complete data may be available in several months.

The Guardian

Instead, new and more complete data reveal that birds actually are dinosaurs – living dinosaurs.

The Guardian

Complete data for coupon use in 2008 will not be available until next year.

The New York Times

The Sverdlovsk incident provided unusually complete data about an anthrax outbreak.

The New York Times

The revised number, based on more complete data, was in line with analyst expectations.

The New York Times

The complete data will appear in the May 31 issue of the journal Nature.

The New York Times - Health

Complete data were available for 298 orphans.

Social Science & Medicine

Expert writing Tips

Best practice

When aiming for clarity and precision in reporting results, make sure to specify the scope and limitations of the "complete data" to avoid misinterpretations. For example, state what the data encompasses and what it does not.

Common error

Don't equate "complete data" with flawless data. While "complete data" implies thoroughness, it doesn't guarantee the absence of errors or biases. Always perform thorough validation checks.

Linguistic Context

The phrase "complete data" functions as a noun phrase, where "complete" modifies the noun "data". It indicates that the data set in question is whole and contains all relevant information. Ludwig AI confirms its correctness and usability.

Expression frequency: Very common

Frequent in

Science

53%

News & Media

38%

Formal & Business

4%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "complete data" is a grammatically correct and frequently used phrase that signifies a comprehensive and exhaustive dataset. Ludwig AI confirms that the expression is suitable for use in written English. Its primary function is to assure the audience of the thoroughness of the information, with usage spanning across scientific research, news reporting, and formal business contexts. While "complete data" suggests thoroughness, it doesn't guarantee error-free information; thus, validation is always necessary. The term is most frequently found in scientific and news contexts.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

full dataset

Replaces "data" with a synonym and uses an adjective with similar meaning.

thorough data

Substitutes "complete" with an adjective that also emphasizes comprehensiveness.

comprehensive data

Uses a more formal synonym for "complete".

entire data

Replaces "complete" with an adjective indicating wholeness.

total data

Uses a synonym that implies the sum of all data points.

exhaustive data

Suggests data that has been examined in detail.

unabridged data

Similar to "complete" but emphasizes the lack of omissions.

perfect data

Idealizes the dataset, implying it is without errors or omissions.

absolute data

Emphasizes the data's definitive and unrestricted nature.

detailed data

Focuses on the level of information included in the dataset.

FAQs

How can I use "complete data" in a research paper?

In a research paper, you can use "complete data" to indicate that you have gathered all necessary information for your analysis. For instance, "We analyzed the complete data set to determine the correlation between X and Y."

What's the difference between "complete data" and "comprehensive data"?

While both terms are similar, "complete data" suggests all data points are present, whereas "comprehensive data" emphasizes the breadth and depth of the information included.

When should I specify what "complete data" includes?

Always specify the scope of your "complete data" when reporting findings. For example, if analyzing customer demographics, state the timeframe, geographic location, and any relevant exclusions to avoid ambiguity.

Is it always necessary to have "complete data" for analysis?

No, it is not always necessary. In some cases, analyzing a representative sample or using imputation methods can provide valuable insights even when "complete data" is unavailable. However, any limitations due to missing data should be clearly acknowledged.