Sentence examples for rich in data from inspiring English sources

The phrase "rich in data" is correct and usable in written English
It can be used to describe something that contains a lot of information or data, often in contexts like research, analysis, or reporting. Example: "The study was rich in data, providing valuable insights into consumer behavior."

Exact(15)

What's brilliant is Murray's portrait, rich in data and anecdote, of the steady breakdown of what he calls America's "founding virtues" — thrift and industriousness, fidelity and parental responsibility, piety and civic engagement — within America's working class, and the personal and communal wreckage that's ensued.

This inconvenient script and the nature of the documents make Mycenaean inscriptions harder to exploit and less rich in data than the later alphabetic inscriptions, but the information that can be gathered on the state of Greek five centuries before Homer, incomplete as it may be, is of capital importance.

The signal can be rich in data, but hideous to hear.

Some organizations or departments that are relatively rich in data resources are illustrated in Fig. 2.

It is a spending battleground, rich in data, whose troops are marshalled by experts and advisors.

The result is a professional-looking website that is rich in data that most schools can afford and easily manage.

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Similar(44)

Credibility and originality of the data were obtained by gathering rich, in-depth data from interviews, field notes, and memos, and by transcribing verbatim and coding line by line using the participants' words as much as possible.

This study used a qualitative explorative approach to gain rich in-depth data.

The current trend is to develop advanced materials for Generation IV fission and fusion reactor systems, based on the rich in-reactor data generated and multiscale modeling methods being developed.

As organisations become richer in data the function of asset management will have to increasingly use intelligent systems to control condition monitoring systems and organise maintenance.

One can hope that decisions about future drugs will be made in environments richer in data and poorer in opinion.

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