approximate data

USAGE SUMMARY

The phrase "approximate data" is correct and usable in written English.
It can be used when referring to data that is not exact but is close enough for a particular purpose or analysis. Example: "The approximate data we collected from the survey indicates a trend towards increased customer satisfaction."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

22 human-written examples

Linear lines in double logarithmic S N plots are used to approximate data.

International Journal of Fatigue

Our past work focused on an approximate data caching architecture that permits fine-grained control of the precision-performance tradeoff for numerical data in data caching environments.

Stanford University

Approximate data on the plane's speed and altitude on the 11 minutes it spent in the air suggest that the first indication of trouble may have come just above 2,000 feet, when its trajectory was beginning to level off.

The New York Times

A very approximate data fit reveals negative Huggins and Kraemer constants from these analyses, which are highly unusual.

Polymer

The scenario taken into account is that of approximate data matching, in which it is necessary to determine whether two data instances represent the same real world object.

Journal of Informetrics

Based on an LP network flow formulation, we present experimental results on both optimal and approximate data routing designs, in open transmission ranges and with impenetrable obstacles between the nodes.

Theoretical Computer Science

Human-verified similar examples from authoritative sources

Similar Expressions

38 human-written examples

Min et al. proposed an approximate data-gathering approach called EDGES.

EURASIP Journal on Wireless Communications and Networking

Analytically approximated data are given by solid lines and simulated mean values by circles with error bars showing the standard deviation.

EURASIP Journal on Wireless Communications and Networking

The traditional (linear) PCA tries to preserve the greatest variations of data by approximating data in a principle component subspace spanned by the leading eigenvectors, noises or less important data variations will be removed.

EURASIP Journal on Advances in Signal Processing

Since the differential values of neighborhood pixels contain all approximated data within the range of the filter window size, the filter window size is not involved in the number of computation steps.

EURASIP Journal on Image and Video Processing

The outlined procedure of approximating data using orthogonal basis functions (here polynomials) and clustering estimated coefficients appears quite naturally in the context of functional data analysis [ 9- 14] 14].

BMC Psychiatry

Expert writing Tips

Best practice

When using "approximate data", specify the degree of approximation or potential error, if known, to provide context for its reliability.

Common error

Avoid presenting "approximate data" as definitive or precise. Always acknowledge its inherent limitations to prevent misinterpretations.

Linguistic Context

The phrase "approximate data" functions as a noun phrase, where "approximate" acts as a modifier describing the type of data. As Ludwig AI highlights, this term describes data that is not exact but close enough for a specific purpose.

Expression frequency: Common

Frequent in

Science

60%

News & Media

20%

Academia

10%

Less common in

Formal & Business

5%

Wiki

2%

Reference

3%

Ludwig's WRAP-UP

In summary, the phrase "approximate data" is a grammatically sound and commonly used term, as confirmed by Ludwig AI. It functions as a noun phrase describing data that is not exact but sufficiently close for practical purposes. The phrase is suitable for various contexts, including science, news, and academia, maintaining a neutral to formal tone. When using "approximate data", it's crucial to acknowledge its limitations and, if possible, quantify the degree of approximation. Consider using alternatives like /s/estimated+figures or /s/rough+estimates depending on the specific nuance you wish to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

approximate values

Highlights the numerical values instead of the general concept of data.

imprecise data

Directly states the lack of precision in the data.

estimated figures

Focuses on the aspect of estimation, implying a calculation or judgment has been made to arrive at the data.

rough estimates

Highlights the preliminary and potentially imprecise nature of the data.

rough data

Highlights the raw and unrefined nature of the data.

ballpark figures

Suggests a broad, less precise estimation, often used in informal contexts.

close approximations

Emphasizes the closeness of the data to the actual value, suggesting a high degree of accuracy.

inexact measurements

Indicates that the data was obtained through measurements that are not perfectly precise.

preliminary findings

Highlights the fact that the data is early stage and may be subject to change.

tentative statistics

Suggests that the statistical data is not yet fully confirmed or finalized.

FAQs

How can I use "approximate data" in a sentence?

You can use "approximate data" to describe information that is not exact but is close enough for a particular purpose. For example, "The study used /s/estimated+figures to project future trends".

What are some alternatives to saying "approximate data"?

Alternatives include /s/rough+estimates , /s/preliminary+findings , or /s/inexact+measurements , depending on the specific context.

When is it appropriate to use "approximate data"?

It's appropriate when precise data is unavailable or unnecessary, and a close estimate suffices for the intended analysis or decision-making. Always state the data is approximate.

What does "approximate data" mean?

"Approximate data" refers to information that is not exact but is sufficiently close to the actual value to be useful. The term implies a degree of uncertainty or potential error.