data interpretation

USAGE SUMMARY

'data interpretation' is a correct and usable phrase in written English.
You can use it when referring to the process of reviewing data or numbers and turning them into meaningful information. For example, you could say, "The statistical analysis included data interpretation to help draw meaningful conclusions from the results."

✓ Grammatically correct

Science

Science & Research

Construction and Building Materials

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

assisted with data interpretation and manuscript editing.

Nature

Boetius, A.: Experimental setup and data interpretation.

Nature

All authors contributed to the data interpretation.

Nature

assisted in study design, data interpretation and manuscript writing.

Nature

K.B.L. assisted with data interpretation and manuscript editing.

Nature

Belter, H.J.: Data interpretation and linkage to large scale anomalies.

Nature

AR, CL and WL contributed to data interpretation and writing.

Nature

All authors contributed to data interpretation and manuscript writing.

Nature

J.M., B.J.W., M.P., C.J.W. and D.M.K. contributed to data interpretation.

Nature

A.P. and J.R.B. designed the study and lead data interpretation.

Nature

S.F.M.B. contributed to figure drafting, data interpretation and manuscript editing.

Nature

Expert writing Tips

Best practice

In reports or articles, provide context for your "data interpretation", explaining the significance of your findings for the intended audience.

Common error

Avoid making overly broad claims based on limited "data interpretation". Always acknowledge the limitations of your data and analysis.

Linguistic Context

The phrase "data interpretation" functions primarily as a noun phrase, often serving as the object of a verb or following a preposition. As evidenced by Ludwig's examples, it represents the process or activity of making sense of data.

Expression frequency: Very common

Frequent in

Science

60%

Science & Research

30%

Construction and Building Materials

5%

Less common in

News & Media

3%

Formal & Business

1%

Encyclopedias

1%

Ludwig's WRAP-UP

In summary, "data interpretation" is a grammatically sound and frequently used phrase, particularly within scientific and research domains. As Ludwig AI points out, it refers to the process of transforming raw data into meaningful information, crucial for drawing conclusions and making informed decisions. While the phrase is typically employed in formal contexts, related phrases such as "analysis of data" or "understanding data" may be suitable alternatives depending on the specific context. Best practices involve clearly defining the methods used and acknowledging the limitations of the data to avoid overstating conclusions.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

analysis of data

Focuses more on the analytical process involved.

understanding data

Emphasizes comprehension and grasping the meaning of the data.

data analysis and synthesis

Highlights both the breakdown and integration of data elements.

drawing conclusions from data

Focuses on the inferential aspect of data analysis.

extraction of insights from data

Stresses the process of uncovering valuable information.

data sensemaking

Implies a more active and interpretive process.

interpreting results

Specifically relates to the results obtained from data.

qualitative data analysis

Emphasis on qualitative analysis rather than quantitative.

quantitative data analysis

Emphasis on quantitative analysis rather than qualitative.

making sense of data

Emphasizes understanding and clarity.

FAQs

How to use "data interpretation" in a sentence?

"Data interpretation" is often used to explain the process of making sense of information. For example, "The report focused on the "data interpretation" from the survey results."

What's the difference between "data interpretation" and "data analysis"?

"Data analysis" involves cleaning, transforming, and inspecting data to discover useful information, while "data interpretation" involves explaining the significance of the findings and drawing conclusions from the analyzed data.

What can I say instead of "data interpretation"?

You can use alternatives like "analysis of data", "understanding data", or "extraction of insights from data" depending on the context.

Why is "data interpretation" important in research?

"Data interpretation" is crucial because it transforms raw data into actionable insights, helping researchers draw meaningful conclusions and make informed decisions. Without proper interpretation, data remains meaningless.