'visualization' 검색 결과

Visualize biological networks (PPI, gene-regulatory, co-expression, pathway) with layout algorithm choice (ForceAtlas2, Fruchterman-Reingold, Kamada-Kawai, hive plots), edge bundling, community-based coloring, and reproducible seeds using NetworkX, PyVis, igraph, and Cytoscape automation. Use when rendering biological networks for static publication, interactive HTML exploration, or Cytoscape-format export.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build circular genome visualizations using circlize (R), pyCirclize (Python), or Circos (Perl CLI) with ideogram tracks, multi-data tracks (scatter, histogram, heatmap), chord/link arcs for interactions, and explicit circos.clear() between plots. Covers when circular is appropriate vs when Cartesian wins (Cleveland-McGill 1984), karyograms, and chromosome adjacency in chord diagrams. Use when adjacency on the circle conveys meaning — chromosome-level overview, structural variants, Hi-C interactions, cross-genome comparisons.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create interactive, self-contained artifacts like mini-apps, visualizations, calculators, and tools that can be embedded or used standalone. Use when building interactive calculators, creating data visualizations, making mini web apps, building embeddable widgets, creating interactive demos, making tools for specific tasks, or generating standalone HTML/JS applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create visual designs, graphics, and layouts using HTML Canvas API or design tools for data visualization, graphics, animations, and interactive visual content. Use when creating data visualizations, building interactive graphics, implementing drawing tools, creating charts and diagrams, building game graphics, implementing image manipulation, or creating dynamic visual content.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build circular genome visualizations using circlize (R), pyCirclize (Python), or Circos (Perl CLI) with ideogram tracks, multi-data tracks (scatter, histogram, heatmap), chord/link arcs for interactions, and explicit circos.clear() between plots. Covers when circular is appropriate vs when Cartesian wins (Cleveland-McGill 1984), karyograms, and chromosome adjacency in chord diagrams. Use when adjacency on the circle conveys meaning — chromosome-level overview, structural variants, Hi-C interactions, cross-genome comparisons.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Visualize biological networks (PPI, gene-regulatory, co-expression, pathway) with layout algorithm choice (ForceAtlas2, Fruchterman-Reingold, Kamada-Kawai, hive plots), edge bundling, community-based coloring, and reproducible seeds using NetworkX, PyVis, igraph, and Cytoscape automation. Use when rendering biological networks for static publication, interactive HTML exploration, or Cytoscape-format export.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build genome-browser-style multi-track figures with pyGenomeTracks (config-driven), Gviz (R), and IGV batch screenshotting. Covers BigWig coverage tracks, BED/peak overlays, gene-model rendering, Hi-C matrix tracks, BedPE link arcs, spike-in-aware normalization, and the bamCoverage --normalizeUsing trap. Use when producing publication figures of genomic loci with stacked aligned tracks (coverage, peaks, genes, interactions) for ChIP-seq, ATAC-seq, RNA-seq, Hi-C, or generic locus visualization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Master of text-based visual communication using ASCII art, Unicode box-drawing, and structured diagram notation. Creates clear, maintainable diagrams for systems, processes, hierarchies, relationships, and psychological structures. Proactively generates diagrams to enhance understanding. Activate on visualization needs, system architecture, process flows, psychological mapping, or when complex concepts would benefit from visual representation. NOT for photo editing, vector graphics, or GUI-based design tools.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Expert in Three.js, 3D graphics, and interactive 3D visualizations

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

3D web graphics with Three.js (WebGL/WebGPU). Capabilities: scenes, cameras, geometries, materials, lights, animations, model loading (GLTF/FBX), PBR materials, shadows, post-processing (bloom, SSAO, SSR), custom shaders, instancing, LOD, physics, VR/XR. Actions: create, build, animate, render 3D scenes/models. Keywords: Three.js, WebGL, WebGPU, 3D graphics, scene, camera, geometry, material, light, animation, GLTF, FBX, OrbitControls, PBR, shadow mapping, post-processing, bloom, SSAO, shader, instancing, LOD, WebXR, VR, AR, product configurator, data visualization, architectural walkthrough, interactive 3D, canvas. Use when: creating 3D visualizations, building WebGL/WebGPU apps, loading 3D models, adding animations, implementing VR/XR, creating interactive graphics, building product configurators.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design, critique, or specify honest charts and data visualizations from known data and audience needs. Use for chart selection, misleading-chart audits, accessibility, dashboard visuals, or "make this data easier to understand"; do not use for raw data analysis, PPT deck generation, spreadsheet surgery, or fabricated chart data.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Git 변경이나 풀 리퀘스트를 지식 그래프와 대조합니다. 변경 지점과 주변 영향, 설계 계층 간 관계, 검토 시 주의할 위험을 정리하고 시각화 데이터를 저장합니다.

• 풀 리퀘스트 검토 준비
• 커밋하지 않은 변경의 영향 확인
• 설계 계층을 넘는 변경 확인

데이터 특성에 맞춰 26가지 그래프와 도표 중 적절한 형식을 선택해 이미지를 생성합니다. 추세, 비교, 분포, 관계를 시각화하고 이미지 URL과 생성 설정을 반환합니다.

• 시간에 따른 변화 시각화
• 항목과 구성 비율 비교
• 분포와 상관관계 표현

Turn a math or science video idea into a detailed scene plan. Research the topic, clarify the audience, and outline visuals, narration, transitions, and implementation notes for Manim, an animation tool.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a rough explainer idea into a scene plan
• Plan intuitive math and science visuals
• Adapt video depth to the audience

Create mathematical and geometric animations in Python with Manim Community Edition. Use guidance, examples, and scene templates to structure animations, display equations, plot graphs, control cameras, and render two-dimensional or three-dimensional scenes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Animating equations and derivations
• Creating function graphs and area visualizations
• Building 3D surfaces with camera movement

Build custom interactive charts, network diagrams, and maps with d3.js. Guides data-driven drawing, tooltips, zooming, animation, responsive sizing, and accessibility, with examples that work in plain JavaScript or frameworks such as React, Vue, and Svelte.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building charts with custom layouts and styling
• Creating network diagrams and geographic visualizations
• Adding tooltips, zooming, and animated transitions

Guides agents working on Remotion videos built with React to relevant rules and code examples. It covers animation, captions, audio, scene transitions, charts, asset handling, and other common tasks involved in composing and adjusting a video.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add captions and animated text to a Remotion video
• Adjust audio timing, volume, and scene transitions
• Build animated charts or audio visualizations

Create and update dashboards with charts, metrics, and tables drawn from connected data sources or attached files. Link displayed values to their sources so readers can inspect queries, calculations, and freshness while reviewing business indicators or recurring reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Track KPIs and progress toward targets
• Visualize CSV, TSV, or JSON data
• Build recurring reports from connected data

Turn a weekly Markdown changelog into a branded video project with animated interface examples, Annie narration, captions, and background music. The workflow selects key updates and builds a 45–60 second square video, with rendering performed on request.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn weekly release notes into a short video
• Demonstrate product updates with animated interface examples
• Prepare a branded update video with narration and captions

Choose tools and workflows for 3D modeling, dimensioned CAD parts, scan processing, rendering, and fabrication. Capability tables and recipes help connect tasks from photographs or initial designs to printable parts, CNC toolpaths, or game assets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a workflow from dimensioned CAD to 3D printing
• Model and export a game asset
• Reconstruct a 3D model from photographs

Evaluate 3D point clouds and movement trajectories against reference data with CloudAnalyzer. Prepare inputs, measure differences, apply quality thresholds, inspect results visually, and track baseline history for mapping, localization, and perception workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare a generated point cloud with reference data
• Measure errors in estimated movement trajectories
• Check ground segmentation against quality thresholds

Create and edit diagrams with Mermaid, a text format for describing visual structures. Save projects, undo source changes, export SVG or PNG images, and generate links for viewing or editing in Mermaid Live Editor.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a flowchart to explain a process
• Diagram an interaction as a sequence diagram
• Export a diagram as SVG or PNG

Analyze large scientific tables with Vaex, including datasets that exceed available memory. Build calculated columns, filter rows, compute statistics, visualize aggregated data, and convert files while identifying operations that may still require substantial RAM.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Computing statistics on tables larger than available memory
• Creating calculated features without storing full columns
• Visualizing large datasets with aggregated grids