compound data

USAGE SUMMARY

The phrase "compound data" is correct and usable in written English.
It can be used in contexts related to data structures, programming, or data analysis where multiple data types or values are combined. Example: "In our database, we store compound data that includes both numerical and textual information for each entry."

✓ Grammatically correct

Science

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Compound data structures are formed by combining one or more data types.

Encyclopedia Britannica

The most important compound data structures are the array, a homogeneous collection of data, and the record, a heterogeneous collection.

Encyclopedia Britannica

Three-year compound data were constructed for each station for each year.

Earth, Planets and Space

The method is also easy to implement and can handle very large compound data sets.

Journal of Cheminformatics

It is a publicly accessible database for chemical compound data and predictive models.

Journal of Cheminformatics

This classification suggests that the diversity of the compound data sets is driven by the scaffolds.

Journal of Cheminformatics

A data point in the graph represents a compound data set.

Journal of Cheminformatics

MACCS keys/Tanimoto is a broadly used method to assess the diversity of compound data sets.

Journal of Cheminformatics

ChemSpider also allows users to download compound data in RDF format [9].

Journal of Cheminformatics

Results obtained for compound data sets covering more than 300 human targets revealed clear trends.

Bioorganic & Medicinal Chemistry

It does not require the distribution of the training compound data and testing compound data to be identical, thus it is inherently suitable for cross-target situations, and (2).

Journal of Cheminformatics

Expert writing Tips

Best practice

When using "compound data", clearly define the individual components or data types that constitute the compound structure to avoid ambiguity.

Common error

Avoid assuming that "compound data" always implies a specific level of complexity. While it suggests a combination of elements, it doesn't inherently denote high complexity or intricate relationships. It simply means multiple data are combined. Clarify the specific complexity if needed.

Linguistic Context

The phrase "compound data" functions primarily as a noun phrase, often serving as the subject or object of a sentence. Ludwig AI indicates that it's grammatically correct and widely used to describe structured data in various contexts.

Expression frequency: Very common

Frequent in

Science

85%

Encyclopedias

10%

Formal & Business

2%

Less common in

News & Media

1%

Academia

1%

Wiki

1%

Ludwig's WRAP-UP

In summary, "compound data" is a grammatically sound and frequently used noun phrase, particularly within scientific and technical domains. Ludwig AI confirms its correctness and common usage for describing data structures composed of multiple elements. While "composite data" and "complex data" serve as close alternatives, understanding the subtle nuances of each ensures accurate and effective communication. When employing "compound data", clarify the components and complexity as needed, and avoid assuming overly intricate relationships without explicit description.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

composite data

Replaces "compound" with "composite", emphasizing the assembled nature of the data.

complex data

Substitutes "compound" with "complex", highlighting the intricate nature of the data.

combined data

Emphasizes the act of combining different data elements.

structured data

Focuses on the organized format of the data, rather than its compositional aspect.

heterogeneous data

Specifically denotes data consisting of different types or elements.

integrated data

Highlights the unification of data from various sources or types.

aggregated data

Focuses on the collection of data into a unified form.

mixed data

Highlights the heterogeneous composition of the data.

multi-faceted data

Emphasizes the multiple aspects or dimensions of the data.

linked data

Focuses on the interconnectedness of data points, rather than the internal structure.

FAQs

How is "compound data" different from "simple data"?

"Simple data" refers to single, atomic data points, whereas "compound data" involves combining multiple data elements or types into a structured unit. In programming, this might involve combining integers, strings, and Booleans into a single object or record.

What are some examples of "compound data" structures?

Common examples of "compound data" structures include arrays, records, objects, and tuples. These structures allow for organizing and accessing related data elements as a single entity. An array of arrays may also contain /s/nested+data.

In what contexts is it appropriate to use the term "compound data"?

The term "compound data" is often used in computer science, data analysis, and scientific research to describe datasets or structures that combine multiple types of information. It's suitable when discussing data organization, manipulation, or analysis techniques that involve combined datasets.

What can I say instead of "compound data"?

You can use alternatives like "composite data", "complex data", or "structured data" depending on the specific context and emphasis you want to convey.