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data processing and interpretation
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "data processing and interpretation" is correct and usable in written English.
It can be used in contexts related to analyzing and making sense of data, often in fields like research, statistics, or data science. Example: "The study focuses on data processing and interpretation to derive meaningful insights from the collected information."
✓ Grammatically correct
Science
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
16 human-written examples
visits 1, 2, 3, 4. VP: creation of the study design, protocol, data processing and interpretation.
Science
An algorithm of automated data processing and interpretation of hybridization results using online database was proposed.
Meanwhile, there tends to be alteration in results, especially when inconsistencies arose during data processing and interpretation.
All these challenges make the probe design, spectrometer manufacture, data acquisition, data processing and interpretation quite different from desktop NMR measurements in the laboratory.
We present the current state-of-the-art in low-field NMR hardware and experiments, considering general magnet designs, rf performance, data processing and interpretation.
Correspondingly, there exists a minimum depth of investigation, above which the observed signal is not applicable for reliable data processing and interpretation.
Human-verified similar examples from authoritative sources
Similar Expressions
44 human-written examples
The main idea of edge-detection techniques is to locate the geological features for gravity-data processing and interpretation.
Science
They include service design, data processing and mapping, interpretation and analysis.
The analysis phase of VUS includes the data processing and analysis, interpretation of acquired results and their delivery to the project development team for their integration into the final design.
However, there is an increasing demand for high-performance bioinformatics solutions that can help to address the various data processing and data interpretation challenges in the field [18 20].
The proposed uncertainty characterization approach accounts for parameters related to all measurements, data processing, and finally data interpretation.
Science
Expert writing Tips
Best practice
When using "data processing and interpretation", clearly define the scope of both activities within your specific context to avoid ambiguity.
Common error
Avoid using "data processing and interpretation" without specifying the type of data or the methods employed, which can lead to a lack of clarity. Be specific about the data and the analytical techniques.
Source & Trust
81%
Authority and reliability
4.5/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "data processing and interpretation" functions as a compound noun phrase. It describes a combination of actions performed on data to extract meaning. Ludwig AI confirms its usability.
Frequent in
Science
90%
Formal & Business
5%
News & Media
3%
Less common in
Encyclopedias
1%
Wiki
0.5%
Reference
0.5%
Ludwig's WRAP-UP
The phrase "data processing and interpretation" is a grammatically correct and commonly used compound noun phrase, predominantly found in formal and scientific contexts. As Ludwig AI confirms, it effectively conveys the dual actions of transforming raw data and deriving meaningful insights. Alternative phrases such as "data analysis and explanation" or "analysis and interpretation of data" offer similar meanings. When using this phrase, specificity is crucial to avoid overgeneralization and maintain clarity. Its prevalence in scientific literature underscores its significance in research and analytical fields.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
data analysis and explanation
Replaces "processing" with "analysis" and "interpretation" with "explanation", emphasizing the analytical aspect and the act of making data understandable.
analysis and interpretation of data
Reorders the phrase to emphasize "analysis", providing a slightly different focus.
data evaluation and understanding
Replaces "processing" with "evaluation" and "interpretation" with "understanding", stressing the assessment and comprehension aspects.
information processing and analysis
Emphasizes the transformation of raw data into meaningful information.
data handling and analysis
Replaces "processing" with "handling", focusing on the management and manipulation of data.
statistical analysis and interpretation
Highlights the use of statistical methods in the analysis and interpretation of data.
computational analysis and interpretation
Highlights the use of computational techniques in the analysis and interpretation of data.
data mining and knowledge discovery
Focuses on extracting patterns and insights from data, often implying a more automated process.
quantitative data analysis and interpretation
Emphasizes the quantitative aspects of data analysis and interpretation
signal processing and interpretation
Focuses on the processing and interpretation of signals, such as in audio or image processing.
FAQs
What does "data processing and interpretation" involve?
It encompasses the transformation of raw data into a usable format and the subsequent analysis to derive meaningful conclusions.
How does "data analysis and interpretation" differ from "data processing and interpretation"?
While closely related, "data processing" focuses on the initial manipulation of raw data, whereas "data analysis and interpretation" emphasizes the extraction of insights and conclusions from the processed data.
In what contexts is "data processing and interpretation" commonly used?
It is frequently used in scientific research, statistical analysis, and any field that involves making sense of data.
What are some essential skills for effective "data processing and interpretation"?
Key skills include data manipulation, statistical analysis, critical thinking, and domain expertise.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
81%
Authority and reliability
4.5/5
Expert rating
Real-world application tested