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Dragon Data: History, Standards, Companies & Products

Dragon Data Ltd. was a Welsh producer of home computers during the early 1980s. These computers, the Dragon 32 and Dragon 64, strongly resembled the Tandy TRS-80 Color Computer ("CoCo")—both followed a standard Motorola datasheet configuration for the three key components: CPU, SAM (Synchronous Address Multiplexer) and VDG (Video Display Generator). The…

Language: English [EN]
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Dragon Data topic overview

The analysis highlights History, Standards, Companies and Products as prominent areas in the source structure around Dragon Data.

Related topics
20
Source areas
2
Connected nodes
22
Extracted relationships
11
Concept neighborhoods
16
Bridge connections
22

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

History · 11 topics
Overview · 9 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
1982
Industry
Computer hardware
Headquarters
Wales, United Kingdom
Defunct
1984
Fate
No longer in existence (final owner bankrupt)
Products
Dragon 32 and 64 computers

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

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.

How Dragon Data connects Entity context

The extracted context around Dragon Data shows recurring relationship patterns in the source. For example, Dragon Data → At, Mettoy, North American, Rexnord's Tano Corporation, The Another extracted example is Dragon Data → 1984. Use these groups to spot repeated connection types before inspecting the individual relationships.

Dragon Data

Top relations

related to history · 5
Dragon Data → At, Mettoy, North American, Rexnord's Tano Corporation, The
Defunct · 1
Dragon Data → 1984
Fate · 1
Dragon Data → No longer in existence (final owner bankrupt)
Founded · 1
Dragon Data → 1982
Headquarters · 1
Dragon Data → Wales, United Kingdom
Industry · 1
Dragon Data → Computer hardware
Products · 1
Dragon Data → Dragon 32 and 64 computers

Important terminology

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

Important terminology

dragon data 64 computers 32 computer company mettoy stake gec history ltd tandy difficulties eurohard welsh later external receivership products

Dragon Data relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Dragon Data. Examples in this analysis include Dragon Data → Defunct → 1984 and Dragon Data → Fate → No longer in existence (final owner bankrupt). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Dragon DataDefunct19841.00infobox
Dragon DataFateNo longer in existence (final owner bankrupt)1.00infobox
Dragon DataFounded19821.00infobox
Dragon DataHeadquartersWales, United Kingdom1.00infobox
Dragon DataIndustryComputer hardware1.00infobox
Dragon DataProductsDragon 32 and 64 computers1.00infobox
Dragon Datarelated to historyThe0.60section
Dragon Datarelated to historyMettoy0.60section
Dragon Datarelated to historyAt0.60section
Dragon Datarelated to historyRexnord's Tano Corporation0.60section
Dragon Datarelated to historyNorth American0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Dragon Data bring nearby vocabulary together. In this analysis, examples include Dragon, Computer and Computers. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Dragon Data
    • Dragon
    • Computer
    • Computers
    • History
    • Company
    • External
    • Financial
    • Interested
    • Ltd
    • Products
    • Suffered
    • Tandy
  • dragon data
    • Dragon
    • Computers
    • Computer
    • External
    • Ltd
    • Difficulties
    • History
    • Company
    • Financial
    • Interested
    • Products
    • Suffered
  • dragon 32 and dragon 64
    • Computer
    • Computers
    • History
    • Company
    • External
    • Financial
    • Interested
    • Ltd
    • Products
    • Suffered
    • Tandy
    • Would
  • dragon msx
    • Computer
    • Computers
    • History
    • Company
    • External
    • Financial
    • Interested
    • Ltd
    • Products
    • Suffered
    • Tandy
    • Would
  • trs-80 color computer
    • History
    • Computers
    • Dragon
    • Cpu
    • Datasheet
    • Motorola
    • Data
    • Chief
    • Executive
    • External
    • Investment
    • Market
  • home computers
    • Data
    • Computer
    • Dragon
    • Cpu
    • Datasheet
    • Motorola
    • Ltd
    • Products
    • Tandy
    • Welsh
    • History
  • tandy
    • Cpu
    • Datasheet
    • Motorola
    • Interested
    • Made
    • Computer
    • Computers
    • Dragon
    • Data
  • mettoy
    • Stake
    • Business
    • Financial
    • Investment
    • Suffered
    • Wda
    • Welsh
    • Difficulties

Connections between topic areas Semantic bridges

For Dragon Data, one of the stronger structural bridges in this analysis connects Dragon Data with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Dragon Data — History · splits 11 ⟂ 12
Dragon Data — Overview · splits 13 ⟂ 10

Map overview Semantic statistics

Dragon Data

Nodes23
Edges22
Triples11
Avg. degree1.91
Density0.086957
Components1

Source & methodology

TTTA analyzes the structure around Dragon Data to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Standards, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Dragon Data · EN edition · Analysis: TopicsToTalkAbout

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