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Build Web Data Visualization

ChatGPT plugin

Design, build, test, and export web data visualizations

View in ChatGPT directory

Use Build Web Data Visualization to choose, design, implement, test, and export browser charts, dashboards, maps, WebGL/Three.js scenes, Canvas/D3 visuals, Gantt charts, UML/software diagrams, scrollytelling, reports, PDFs, and slide decks. It emphasizes source-backed data, accessible responsive layouts, URL-shareable analysis state, and concept-first design for advanced visual stories.

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Rank by placement

#692of 11,3609places down24h20places down7d
#570#604#638#672Oct 6Oct 12Oct 18Oct 24Oct 30Nov 4

Rank in Developer tools

#55of 9002places down24h1places down7d
#53#54#55Oct 6Oct 12Oct 18Oct 24Oct 30Nov 4

4 listing changes logged · latest Sep 22: Status, Availability, Sign-in and 1 more. See what changed

In its category

How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.

Developer tools55th of 900 by placement
#PluginPosition7d
53Statsig#6797places up
54Postman#683312places up
55Build Web Data VisualizationThis page#69220places down
56ClickHouse#69658places up
57Jam#7103places down

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Example prompts

  • “Visually design this advanced visualization with large-screen and mobile concepts”
  • “Choose the best chart, layout, shareable state, grammar, and stack for this dataset”
  • “Design QA for this chart, dashboard, map, or WebGL visualization”

Skills

  • accessibility-and-inclusive-visualization

    Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.

  • canvas2d-data-visualization

    Render data visualizations with Canvas2D. Use when the visualization needs high mark counts, fast redraws, immediate-mode rendering, custom hit testing, or a hybrid Canvas plus SVG or HTML architecture.

  • d3-data-visualization

    Build custom data visualizations with D3. Use when the user needs SVG or DOM-based charts, rich annotation, domain-native contextual backgrounds, data joins, custom scales or interactions, scroll-driven SVG scene states, or precise control over browser visualization behavior.

  • dashboards-and-real-time-visualization

    Design dashboards and live visualization systems. Use when the user needs monitoring views, streaming charts, coordinated interactions, downsampling, or performance-aware operational visualization.

  • data-visualization

    Route web data visualization work. Use when the user needs chart choice, visual critique, dashboards, maps or geospatial views, Gantt timelines, UML/software diagrams, scrollytelling, reports or exports, testing, accessibility, browser implementation, or concept-first visual design.

  • gantt-chart-visualization

    Design, critique, route, and implement Gantt charts and schedule visualizations. Use when the user mentions Gantt charts, project schedules, roadmaps with task spans, milestones, dependencies, predecessors, critical path, baselines, WBS, resource plans, capacity timelines, MS Project, Primavera P6, Jira Advanced Roadmaps, GitHub Projects, Smartsheet, monday.com, Asana, ClickUp, Azure DevOps iterations, or importing/exporting project-management data for a timeline chart.

  • geospatial-and-cartographic-visualization

    Design geospatial and cartographic visualizations. Use when the user needs help deciding whether to use a map, choosing projections or basemaps, building choropleths or symbol maps, or implementing thematic maps, slippy maps, or geospatial interactions with D3 geo, Leaflet, MapLibre, Mapbox GL JS, Google Maps, OpenLayers, deck.gl, ArcGIS Maps SDK, Azure Maps, HERE Maps, CesiumJS, or related tools.

  • grammar-of-graphics-and-declarative-visualization

    Build data visualizations with declarative grammars. Use when the user needs Vega-Lite, Vega, Observable Plot, or grammar-of-graphics reasoning, especially for tabular charts that do not require bespoke rendering.

  • node-link-and-diagram-layout

    Choose and apply automatic layout strategies for node-link diagrams and connected-node visuals. Use when the user asks how to auto-arrange nodes, reduce line crossings, route edges, avoid overlaps, stabilize layout, or choose graph-layout algorithms for network diagrams, dependency graphs, database schema diagrams, ERDs, state machines, decision trees, flow diagrams, box-and-line editors, or other line-connected nodes.

  • react-and-nextjs-data-visualization

    Integrate data visualizations into React and Next.js applications. Use when the user needs chart components, UML-like or architecture diagram components, React integration patterns, Next.js client or server boundaries, hydration-safe rendering, lazy loading, framework-aware performance, scroll-driven visual stories, or export guidance.

  • reports-pdfs-and-slide-automation

    Lay out and export data-rich reports and documents. Use when the user needs report structure, figure packaging, PDFs, PowerPoint or Google Slides automation, or programmatic insertion of visualizations, UML-like diagrams, or architecture diagrams into documents.

  • scrollytelling-and-parallax-data-visualization

    Design and implement parallax scrolling and scrollytelling data visualizations. Use when the user asks for parallax scrolling, scrollytelling, scroll-driven timelines, sticky graphics, Scrollama, ScrollTrigger, ScrollTimeline, view timelines, rich-media timelines, moviescrollers, scroll-scrubbed charts, staged narrative reveals, or interactive visual stories where scrolling changes a data visualization or media scene.

Show all 18
  • statistical-and-uncertainty-visualization

    Design statistically honest and uncertainty-aware visualizations. Use when the user needs help showing distributions, intervals, confidence, missingness, sampling effects, or analytical rigor in charts and dashboards.

  • testing-data-visualizations

    Test data visualizations and dashboards. Use when the user needs chart or diagram test strategy, screenshot or image diff testing, visual regression, mocked or synthetic chart data, component or unit tests, E2E dashboard QA, interactive UML-like diagram verification, scroll-driven story verification, export verification, or guidance on avoiding brittle over-testing.

  • threejs-data-visualization

    Render WebGL-accelerated data visualizations with Three.js, raw WebGL, deck.gl, luma.gl, PixiJS, Sigma.js, Plotly WebGL traces, ECharts GL, CesiumJS, Babylon.js, or related GPU libraries. Use when the visualization needs true spatial structure, dense 2D or 3D GPU rendering, particle or flow animation, volumetric views, or interactive exploration that adds real analytical value.

  • typescript-data-visualization-engineering

    Build typed data visualizations in TypeScript. Use when the user wants TypeScript visualization code, typed data models, browser visualization components, UML-like diagram models, interactive graph or architecture diagram contracts, scroll-driven scene contracts, library selection guidance, or a maintainable visualization architecture beyond React- or Next-specific concerns.

  • uml-and-software-architecture-visualization

    Design, critique, read, write, render, and implement UML and UML-like software diagrams. Use when the user mentions UML, sequence diagrams, class diagrams, activity diagrams, state machines, use case diagrams, component diagrams, deployment diagrams, object diagrams, package diagrams, profile diagrams, timing diagrams, communication diagrams, interaction overview diagrams, composite structure diagrams, ERDs, database schema diagrams, C4, BPMN, swimlanes, flowcharts, network diagrams, application architecture diagrams, software architecture diagrams, diagram-as-code, model-as-code, XMI, UMLDI, PlantUML, Mermaid, Graphviz DOT, D2, Structurizr, DBML, diagrams.net/draw.io, Kroki, or interactive diagram editors and explorers.

  • visualization-strategy-and-critique

    Choose, lay out, critique, and explain data visualizations. Use when the user asks what visualization fits a dataset or goal, how a chart, dashboard, operational workspace, UML-like diagram, or software architecture diagram should be composed or interacted with, asks for visual page design, a layout mockup, generated large-screen and mobile concept images, or to be shown what a visualization could look like, when domain-native contextual surfaces or graphical backgrounds may help, when scrollytelling or parallax might be appropriate, wants a critique of an existing visualization, or needs guidance grounded in trusted visualization theory and practice. For advanced visual design or page-layout prompts where composition affects understanding, Codex must generate and show both large-screen and mobile portrait image concepts before implementation or text-only design handoff, plus mobile landscape when needed.

Categories
Made by
OpenAI · Website
Sign-in
On Use
Capabilities
Interactive, Read, Write
Availability
Available
Version
0.1.21
Created
May 26, 2026
More info
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