Sentence examples for a more appropriate data from inspiring English sources

Suggestions(1)

The phrase "a more appropriate data" is not correct in standard English usage.
The word "data" is typically treated as a plural noun, so it would be more appropriate to say "more appropriate data" without the article "a."
Example: "We need to analyze more appropriate data to support our findings."
Alternatives: "more suitable data" or "better data."

Exact(3)

However, as laptops/routers/servers can typically be used for five campaigns before requiring replacement, a five-year time-frame offers a more appropriate data collection system cost comparison.

In our study, we analysed Italian and reanalysed French BSE data in parallel, with a more appropriate data categorisation and method, in order to characterise and compare BSE trends in both countries, as they experienced different types of BSE epidemics.

The high rate of change in software development is due to the multitude of motivations for altering program code: fixing a bug, replacing an algorithm with a better one, changing the control flow in the program or using a more appropriate data structure, to name just a few.

Similar(57)

Analysing the causes of inconsistencies and errors is a positive step towards obtaining more appropriate data for investigating the environment-migration relationship.

10 More appropriate data might be obtained with a longer study, that includes patients from several regions of Spain, but unfortunately, no other specific study of etiology for elderly patients was found in the literature.

Through the sexual networks approach, this paper advocates a major shift in HIV/AIDS data collection in order to gather more appropriate data that would provide reliable HIV/AIDS indicators for protecting people in SSA and around the world.

Thus more appropriate data and ratemaking methods are urgently needed.

This work reevaluates the effects of electoral uncertainty in post-communist Europe using more appropriate data and fuzzy-set qualitative comparative analysis to outline the different causal configurations linking electoral uncertainty to the initial judicial empowerment.

In this study, we apply one of the well-adapted noise filtering techniques which is called Savitzky Golay smoothing filter (SGF) (Angrisani et al. 2014) to clean and smooth out our noisy data and prepare more appropriate data to be fed into our AI model.

Users can modify the age and sex incidence rate ratios if more appropriate data for the country are available.

Within-country relationships will require far more appropriate data to be available in multiple regions of the world.

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