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The Datapoint 2200 was a mass-produced programmable terminal usable as a computer, designed by Computer Terminal Corporation (CTC) founders Phil Ray and Gus Roche and announced by CTC in June 1970 (with units shipping in 1971). It was initially presented by CTC as a versatile and cost-efficient terminal for connecting to a wide variety of mainframes by…
The analysis highlights Measurement and Companies as prominent areas in the source structure around Datapoint 2200.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Datapoint 2200 shows recurring relationship patterns in the source. For example, Datapoint 2200 → An, ARCNET, CTC, CTC's, Datapoint, Diablo, IBM Selectric, In, Initially, Intel, Its, KB, KiB, KiB Type, Later, MB, RAM, Texas Instruments TMC, The, The Datapoint Another extracted example is Datapoint 2200 → April, CPU, CTC, CTC's, Datapoint, In, Intel, Intel's, SSI/MSI, Texas Instruments, The, TI, TTL. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
2200 datapoint intel instruction memory 8008 set original ctc computer processor cpu terminal register 8-bit ttl x86 instructions type microprocessor
TTTA extracted 68 structured relationships around Datapoint 2200. Examples in this analysis include Datapoint 2200 → CPU → serial, discrete logic implementation of the Intel 8008 instruction set and Datapoint 2200 → Discontinued → 1979; 47 years ago (1979). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Datapoint 2200 | CPU | serial, discrete logic implementation of the Intel 8008 instruction set | 1.00 | infobox |
| Datapoint 2200 | Discontinued | 1979; 47 years ago (1979) | 1.00 | infobox |
| Datapoint 2200 | Display | Text only, 80×12 characters | 1.00 | infobox |
| Datapoint 2200 | Manufacturer | Computer Terminal Corporation | 1.00 | infobox |
| Datapoint 2200 | Memory | 2 KB standard; expandable to 16 KB | 1.00 | infobox |
| Datapoint 2200 | Operating system | Datapoint O/S | 1.00 | infobox |
| Datapoint 2200 | Released | May 1970; 56 years ago (1970-05) | 1.00 | infobox |
| Datapoint 2200 | Type | Intelligent terminal, personal computer | 1.00 | infobox |
| Datapoint 2200 | related to Code example | The | 0.60 | section |
| Datapoint 2200 | related to Code example | Datapoint | 0.60 | section |
| Datapoint 2200 | related to Code example | MEMCPY | 0.60 | section |
| Datapoint 2200 | related to Code example | Because | 0.60 | section |
The concept neighborhoods around Datapoint 2200 bring nearby vocabulary together. In this analysis, examples include Terminal, Version and Intel. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Datapoint 2200, one of the stronger structural bridges in this analysis connects Datapoint 2200 with Technical description. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Datapoint 2200 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Datapoint 2200 · EN edition · Analysis: TopicsToTalkAbout