Sentence examples for data analysis results from inspiring English sources

"data analysis results" is a correct and commonly used phrase in written English.
It refers to the conclusions or findings that have been drawn from analyzing data. You can use this phrase whenever you want to refer to the specific outcomes or insights gained from analyzing a set of data. For example: "The data analysis results showed a strong correlation between exercise and improved mental health." "The team is currently reviewing the data analysis results to determine the next steps for the project." "In her research paper, Maria discussed her data analysis results and their implications for future studies." Overall, "data analysis results" is a useful and precise phrase that can be used in various contexts when discussing the findings of data analysis.

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Data analysis results indicate water balance closure errors of approximately 8%.

The data analysis results indicate that CPT provides a better description of risk attitudes than expected utility theory (EUT).

Instead, a modified Rietveld method, which includes an elastic anisotropy term, yielded significant improvements in the data analysis results.

Inaccuracy, incompleteness and inconsistence are common characteristics of monitored field data, which then often needs intensive pre-processing to address data quality issues and improve data analysis results.

The data analysis results, at this moment, provided information to start to define a set of principles to design a framework for clinical support to improve healthcare services.

Data analysis results indicate that standardized VA values decreased significantly in both pulsing and step conditions in comparison with the dark condition.

The development of the system has provided engineers from industry and academia a common framework for sharing, analyzing and storing surface texture data, analysis results, documents and reports.

The qualitative data analysis results revealed that teamwork among the CD users were more effective when team size is small (3 to 4).

We will also discuss how to implement the unsupervised CLDA algorithm in real-time for resolving the critical situations when the immediate data analysis results are required.

We applied the proposed method to two judgement experiments: a gender discrimination and an emotion discrimination task, data analysis results demonstrate its effectiveness and potential applications.

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