Sentence examples similar to genre of data from inspiring English sources

The phrase "genre of data" is correct and usable in written English
You can use it when categorizing or describing different types of data based on their characteristics or context. Example: "In our research, we analyzed various genres of data, including qualitative, quantitative, and mixed methods."

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cisMEP collects the literature-curated TFBS location data and nine genres of epigenetic data for assessing the confidence of these potential CRMs and deciphering the possible CRM functionality.

During the data analysis it is useful to consider within what kind of positionings and genres the pieces of data or 'facts' have been created as these genres and positions always frame and limit what is said and how.

All economic data are best viewed as a peculiarly boring genre of science fiction, but Chinese data are even more fictional than most.

Paul Krugman says that "all economic data is best viewed as a peculiarly boring genre of science fiction, but Chinese data is even more fictional than most".

A Pragma-Functional approach, combining Systemic Functional Linguistics and Pragma-Dialectics is applied to a set of data across various genres and registers, investigating salient patterns in the discourse samples, produced by various representatives of relevant speech communities.

Business intelligence — the genre of enterprise services that takes data already in your system and helps analyse it to provide detail on trends and other insights — is very much a legacy system, going on three decades of existence.

Amazon and Netflix once stood as exemplars of recommendation, providing suggestions based on what other users with similar habits and product histories selected, with a touch of genetic genre data thrown in.

The website Statista provides a handy chart of of popular genres, based on data from US gamers.

The ghastly discovery that fans of these genres made after Billboard changed their genre methodology in 2012 is that Billboard is taking the exact same massive pools of data they use for the Hot 100, which is all genres, and just cutting it down to the songs that it thinks qualifies.

My main point is simply this: for a genre chart to be credible, it needs a different pool of data.

Crystallization is a methodological framework for bringing together different forms of data and analysis as well as different genres and forms of sense making within interpretive methodology.

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