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Composite data type

In computer science, a composite data type or compound data type is a data type that consists of programming language scalar data types and other composite types that may be heterogeneous and hierarchical in nature. It is sometimes called a structure or a record or by a language-specific keyword used to define one such as struct. It falls into the…

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Explore the main themes, entities and connections around Composite data type. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Composite data type

Nodes10
Edges9
Triples7
Avg. degree1.8
Density0.2
Components1

How this topic connects Entity context

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Composite data type

Top relations

see also · 4
Composite data type → Composite, Elements, Method, Object

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

type data programming record struct computer science composite language scalar types keyword array list compound consists may heterogeneous hierarchical nature

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
structinstance ofIt is sometimes called a structure or a record or by a language-specific keyword used to define one0.80text
the arrayinstance ofIt falls into the aggregate type classification which includes homogenous collections0.80text
listinstance ofIt falls into the aggregate type classification which includes homogenous collections0.80text
Composite data typesee alsoObject0.60section
Composite data typesee alsoMethod0.60section
Composite data typesee alsoComposite0.60section
Composite data typesee alsoElements0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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