#graphvis — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #graphvis, aggregated by home.social.
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🧵 3/9 Next is a Report top level data structure: Table of Contents (Visualisation) of AR6 70 chapters. Status #Alpha - the chapters of Sixth Assessment Report — IPCC. Using #graphvis in Python the chapters and their connections are automatically mapped #semanticClimate #ClimateKG https://github.com/semanticClimate/internship_sC/tree/MEBIN/TOC The TOC structure is designed to provide a clear and hierarchical representation of report sections, including chapters, glossaries, supplemental materials, and cross-chapter references.
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🧵 3/9 Next is a Report top level data structure: Table of Contents (Visualisation) of AR6 70 chapters. Status #Alpha - the chapters of Sixth Assessment Report — IPCC. Using #graphvis in Python the chapters and their connections are automatically mapped #semanticClimate #ClimateKG https://github.com/semanticClimate/internship_sC/tree/MEBIN/TOC The TOC structure is designed to provide a clear and hierarchical representation of report sections, including chapters, glossaries, supplemental materials, and cross-chapter references.
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🧵 3/9 Next is a Report top level data structure: Table of Contents (Visualisation) of AR6 70 chapters. Status #Alpha - the chapters of Sixth Assessment Report — IPCC. Using #graphvis in Python the chapters and their connections are automatically mapped #semanticClimate #ClimateKG https://github.com/semanticClimate/internship_sC/tree/MEBIN/TOC The TOC structure is designed to provide a clear and hierarchical representation of report sections, including chapters, glossaries, supplemental materials, and cross-chapter references.
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🧵 3/9 Next is a Report top level data structure: Table of Contents (Visualisation) of AR6 70 chapters. Status #Alpha - the chapters of Sixth Assessment Report — IPCC. Using #graphvis in Python the chapters and their connections are automatically mapped #semanticClimate #ClimateKG https://github.com/semanticClimate/internship_sC/tree/MEBIN/TOC The TOC structure is designed to provide a clear and hierarchical representation of report sections, including chapters, glossaries, supplemental materials, and cross-chapter references.
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🧵 3/9 Next is a Report top level data structure: Table of Contents (Visualisation) of AR6 70 chapters. Status #Alpha - the chapters of Sixth Assessment Report — IPCC. Using #graphvis in Python the chapters and their connections are automatically mapped #semanticClimate #ClimateKG https://github.com/semanticClimate/internship_sC/tree/MEBIN/TOC The TOC structure is designed to provide a clear and hierarchical representation of report sections, including chapters, glossaries, supplemental materials, and cross-chapter references.
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Man tools like graphviz, plantuml, mermaid, kroki, and similar text-based diagramming tools have such awesome potential... if only they fixed a handful of issues they might actually be usable on larger or more complex graphs... as it stands you waste most of your time trying to layout things "suggestively".
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Man tools like graphviz, plantuml, mermaid, kroki, and similar text-based diagramming tools have such awesome potential... if only they fixed a handful of issues they might actually be usable on larger or more complex graphs... as it stands you waste most of your time trying to layout things "suggestively".
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Man tools like graphviz, plantuml, mermaid, kroki, and similar text-based diagramming tools have such awesome potential... if only they fixed a handful of issues they might actually be usable on larger or more complex graphs... as it stands you waste most of your time trying to layout things "suggestively".
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Man tools like graphviz, plantuml, mermaid, kroki, and similar text-based diagramming tools have such awesome potential... if only they fixed a handful of issues they might actually be usable on larger or more complex graphs... as it stands you waste most of your time trying to layout things "suggestively".