Research this topic
Explore the main themes, entities and connections around Data type. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Explore this topic
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
Examples
Definition
Concept
Overview
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
- Computer science
- Computer programming
- Data values Value (computer science)
- Expression Expression (computer science)
- Variable Variable (high-level programming language)
- Compiler
- Interpreter Interpreter (computing)
- Integer Integer (computer science)
- Floating-point Floating point
- Real numbers Real number
- Characters Character (computing)
- Booleans Boolean data type
Concept
- Python programming language Python (programming language)
- Arbitrary-precision integer Arbitrary-precision arithmetic
- Java programming language Java (programming language)
- 32-bit
- Overflow Integer overflow
- Rust Rust (programming language)
- Complex number
- Bytes Byte
- Type systems Type system
- Objects Object (computer science)
- Correctness of computer programs
- Bits Bit
- IEEE specification for single-precision floating point numbers IEEE 754-2008
- Microprocessor operations Instruction set
Definition
- Parnas, Shore & Weiss (1976) Data type
- Syntactic Syntax
- Variable Variable (computer science)
- Substructural type systems Substructural type system
- Operators Operator (computer programming)
- Disjoint Disjoint union
- Unions Union (set theory)
- Cartesian products Cartesian product
- Functions Function (computer science)
- ALGOL
- Pascal Pascal (programming language)
- Simula
- CLU CLU (programming language)
- Object-oriented Object-oriented programming
- Structured programming
- Plain old data structures Plain old data structure
Classification
- Primitive data types Primitive data type
- Composite type
Examples
- Octet Octet (computing)
- Machine code
- Word Word (data type)
- Systems programming
- Low-level programming languages Low-level programming language
- C programming language
- Boolean type
- True Logical truth
- False False (logic)
- Integer Integer (computing)
- Ada Ada (programming language)
- Rational numbers
- Real numbers
- Decimal
- Fixed point Fixed point (computing)
- Bignum
- Arbitrary precision
- Enumerated type
- Strings String (computer science)
- Plain text
- Markup languages
- Formatted text
- Alphabet
- ASCII
- Unicode
- Hebrew Hebrew language
- Chinese Chinese language
- Digits Numerical digit
- Record Record (computer science)
- Tagged union
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
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.Data type
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
Data type
Top relations
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
type data types values integer may languages programming value machine integers also called operations representation array example used one possible
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Data type | is a | data type that does not specify the concrete representation of the data | 0.90 | text |
| addition | instance of | intrepresents an arbitrary-precision integer which has the traditional numeric operations | 0.80 | text |
| subtraction | instance of | intrepresents an arbitrary-precision integer which has the traditional numeric operations | 0.80 | text |
| and multiplication | instance of | intrepresents an arbitrary-precision integer which has the traditional numeric operations | 0.80 | text |
| substructural type systems | instance of | Although useful for advanced type systems | 0.80 | text |
| such definitions provide no intuitive meaning of the types | instance of | Although useful for advanced type systems | 0.80 | text |
| ALGOL | instance of | Value space and behaviourA type is a set of values which a variable can possess and a set of functions that one can apply to these values.The definition in terms of a representa… | 0.80 | text |
| Pascal | instance of | Value space and behaviourA type is a set of values which a variable can possess and a set of functions that one can apply to these values.The definition in terms of a representa… | 0.80 | text |
| while the definition in terms of a value space | instance of | Value space and behaviourA type is a set of values which a variable can possess and a set of functions that one can apply to these values.The definition in terms of a representa… | 0.80 | text |
| behaviour was used in higher-level languages such as Simula | instance of | Value space and behaviourA type is a set of values which a variable can possess and a set of functions that one can apply to these values.The definition in terms of a representa… | 0.80 | text |
| CLU | instance of | Value space and behaviourA type is a set of values which a variable can possess and a set of functions that one can apply to these values.The definition in terms of a representa… | 0.80 | text |
| Booleans | instance of | supplies types | 0.80 | text |
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.