Sentence examples for a range of data types from inspiring English sources

The phrase "a range of data types" is correct and usable in written English.
It can be used when discussing various categories or formats of data in contexts such as programming, data analysis, or research.
Example: "The software is designed to handle a range of data types, including integers, strings, and floating-point numbers."
Alternatives: "a variety of data types" or "multiple data types".

Exact(7)

This workshop is a hands-on exploration of how to use NVivo to analyze a range of data types, including video files, journal articles, and external documents.

In this study, auto-associative network was explored using seven civil engineering databases from various applications and with a range of data types.

A range of data types are often used in combination to determine magnetic grain size and mineralogy.

Probabilistic hazard datasets are typically quite robust in that they often include a range of data types (e.g., volcanic ash thickness, ash grain size) at multiple levels of uncertainty (e.g., 90th percentile, average) over a number of different time frames (e.g., in the event of an eruption, in the next 10 years).

To review participants for inclusion in an ancillary study, investigators need to align, integrate and evaluate a range of data types, including consent, clinical, assay, and specimen.

It integrates evidence from a range of data types: (i) assembled transcriptome contigs and their alignments to a reference genome, (ii) read alignments to assembled transcriptome contigs, and (iii) gene and repeat annotations in the reference genome.

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Similar(53)

The software has now been adopted by a large number of different biological databases spanning a wide range of data types and providing a rich source of annotation available to bioinformaticians and biologists alike.

Certainly, this represents a greater openness to seeing a broader range of data types as relevant – including, for example, contextual, descriptive data as well as evaluations and other forms of research evidence.

Data integration is accomplished by using a data warehouse model that combines and stores a wide range of data types from multiple sources in denormalized precomputed tables in a PostgreSQL database.

Expanding a Textpresso-based curation strategy to a broader range of data types and organisms might thus help to improve curation efficiency overall, speeding up the rate at which new biological knowledge is incorporated into, and made useful by, model organism databases.

I show that interactive latent factor models provide a powerful modeling alternative that can address a wide range of data types.

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