a complete set of data

USAGE SUMMARY

"a complete set of data" is a grammatically correct and commonly used phrase in written English.
It can be used when referring to a collection of information that contains all the necessary or relevant data. Example: "The researchers were able to analyze a complete set of data on the effects of the new medication, providing a comprehensive understanding of its efficacy."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

54 human-written examples

A complete set of data for every track would improve on the past, audiophiles say.

The New York Times - Arts

Without access to a complete set of data, it is impossible to draw hard statistical conclusions about how much the drugs mattered.

The New York Times - Sports

Right, I'd love to have had a complete set of data on firm performance, and I'm looking now at industries where it's available.

Harvard Business Review

The technique leads, in a matter of few days, to a complete set of data in a large P and T domain.

Chemical Engineering Science

With an integrated web portal, IMIRS represents the first cryoEM application that incorporates both web-based data reporting tools and a complete set of data processing modules.

Journal of Structural Biology

It warns of the danger of placing too much stock in the foreclosure numbers released by RealtyTrac because the company doesn't make year-to-year comparisons or release a complete set of data so others can analyze the numbers.

The New York Times

We apply the proposed methodology on a complete set of data including routing, traffic, topological and billing information provided by a major Japanese ISP and we discuss the obtained results.

Computer Networks

Since the effects of manufacturing conditions on film porosity and thickness have been investigated as well, a complete set of data is obtained enabling the design and easy realization of PS layers with certain structural and optical properties in advanced applications for optoelectronics and sensors.

Optical Materials

Only with such a complete set of data can you map the entire customer journey and understand how the partner channel contributes to conversion.

Forbes

For partnerships to get all the credit they deserve, you need to input a complete set of data for the channel -- one that includes mobile conversions.

Forbes

They were also studied later using several methods to obtain a complete set of data on the petrophysical, geochemical, and lithological properties (Li et al. 2012).

Earth, Planets and Space

Expert writing Tips

Best practice

Before starting your data analysis, verify that you possess "a complete set of data" to enable accurate and reliable results.

Common error

Avoid basing analyses on partial datasets. Always strive for "a complete set of data" to prevent skewed results and misleading insights that arise from missing information.

Linguistic Context

The phrase "a complete set of data" serves as a noun phrase, typically functioning as the subject or object of a sentence. It refers to a collection of information that contains all the necessary or relevant data points. According to Ludwig, this phrase is considered grammatically correct and commonly used in written English.

Expression frequency: Very common

Frequent in

Science

49%

News & Media

28%

Formal & Business

23%

Less common in

Encyclopedias

0%

Wiki

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "a complete set of data" is a grammatically sound and frequently employed phrase across various domains, particularly within scientific, news, and formal business environments. Ludwig AI affirms its correctness and common usage, signifying its role in emphasizing thoroughness and reliability. When using this phrase, ensure data completeness to avoid bias, and consider alternatives like “a comprehensive dataset” for nuanced communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

a comprehensive dataset

Emphasizes the thoroughness and breadth of the data collected.

a full data compilation

Highlights the act of gathering and assembling the data into a unified collection.

an exhaustive data collection

Implies that all possible data points have been gathered.

a thorough data repository

Focuses on the organized storage and accessibility of the data.

a holistic data inventory

Suggests a wide-ranging and interconnected view of the data.

a total data aggregation

Highlights combining various data pieces into a complete whole.

a synthesized data pool

Focuses on combining different elements into a unified resource.

a consolidated data record

Highlights the uniformity and coherence of the data collected.

an integrated data archive

Emphasizes accessibility and completeness of the stored data.

an unabridged data source

Highlights the completeness and lack of omissions in the data.

FAQs

How can I ensure I have "a complete set of data" for my analysis?

Start by defining all necessary variables and establishing clear data collection protocols. Regularly audit your data for missing values and implement strategies for addressing them, such as multiple imputation or sensitivity analyses.

What does it mean to have "a complete set of data" in a research study?

It signifies that all required data points for each participant or observation are available and accounted for. This ensures that the analysis is comprehensive and minimizes potential biases due to missing information.

What happens if I don't have "a complete set of data"?

Analyses based on incomplete data may produce biased or unreliable results. Techniques like multiple imputation can help address missing data, but it's crucial to acknowledge the limitations and potential impact on the study's conclusions.

Are there alternatives to using "a complete set of data"?

While striving for a complete dataset is ideal, you might consider using subsets of data with careful consideration. Be sure to specify the limitations in such cases. You might also consider "a comprehensive dataset", if the amount of data is very big or "a thorough data repository", when the most important is organization.