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Rattle GUI is a free and open source software (GNU GPL v2) package providing a graphical user interface (GUI) for data mining using the R statistical programming language. Rattle is used in a variety of situations. Currently there are 15 different government departments in Australia, in addition to various other organisations around the world, which use…
Art, Features & Overview
Explore the main themes, entities and connections around Rattle GUI. 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.
rattle data statistical mining graphical software also gui interface used external user code dataset packages package using language graham gnu
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Rattle GUI | Developer | Graham Williams | 1.00 | infobox |
| Rattle GUI | License | GNU General Public License | 1.00 | infobox |
| Rattle GUI | Original author | Graham Williams | 1.00 | infobox |
| Rattle GUI | Stable release | 6.5.30 / 5 May 2026; 3 months ago (2026-05-05) | 1.00 | infobox |
| Rattle GUI | Type | GUI widget toolkit | 1.00 | infobox |
| Rattle GUI | Website | rattle.togaware.com | 1.00 | infobox |
| Rattle GUI | Written in | R | 1.00 | infobox |
| Rattle GUI | is a | free and open source software | 0.90 | text |
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.