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Geometric Shapes is a Unicode block of 96 symbols at code point range U+25A0–25FF.
Font coverage, U+25A0–U+25CF & Emoji
Explore the main themes, entities and connections around Geometric Shapes (Unicode block). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
block geometric shapes range 25a0 96 emoji unicode symbols coverage code 25ff font also glyphs symbol sets 79 80 characters
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Geometric Shapes (Unicode block) | 1.0.0 .mw-parser-output .nobold{font-weight:normal}(1991) | 79 (+79) | 1.00 | infobox |
| Geometric Shapes (Unicode block) | 1.1 (1993) | 80 (+1) | 1.00 | infobox |
| Geometric Shapes (Unicode block) | 3.0 (1999) | 88 (+8) | 1.00 | infobox |
| Geometric Shapes (Unicode block) | 3.2 (2002) | 96 (+8) | 1.00 | infobox |
| Geometric Shapes (Unicode block) | Assigned | 96 code points | 1.00 | infobox |
| Geometric Shapes (Unicode block) | Plane | BMP | 1.00 | infobox |
| Geometric Shapes (Unicode block) | Range | U+25A0..U+25FF (96 code points) | 1.00 | infobox |
| Geometric Shapes (Unicode block) | Scripts | Common | 1.00 | infobox |
| Geometric Shapes (Unicode block) | Symbol sets | Control code graphics Geometric shapes | 1.00 | infobox |
| Geometric Shapes (Unicode block) | Unused | 0 reserved code points | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.