“charts”的搜索结果

Build charts with TradingView's lightweight-charts, including candlesticks, lines, live updates, scales, and annotations. Guidance checks installed types and v5 APIs to support chart integration, framework lifecycle handling, and troubleshooting of common data and display issues.

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• Build candlestick charts with a separate volume pane
• Add live updates and historical data
• Fix v4-to-v5 API migration issues

Build Lightweight Charts™ plugins that add custom chart types, annotations, or overlays. The skill guides plugin selection, project setup, implementation with official helpers, testing of drawing and interactions, and preparation for publishing.

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• Add a custom chart type
• Draw annotations or watermarks on a chart
• Investigate drawing or hover issues

Create charts for numeric data and diagrams for processes or relationships. Explains how to choose ECharts or Mermaid, apply clear formatting, and use chart_render to display the result in chat and save a downloadable PNG.

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• Comparing revenue across regions or products
• Showing trends across multiple metrics
• Turning workflows or system relationships into diagrams

Turn notes, prose, code, schemas, or tables into editable diagrams, including flowcharts, architecture diagrams, and schedules. Choose Mermaid, Graphviz DOT, PlantUML, or SVG to suit the content, with image or PDF rendering when needed.

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• Turn business procedures into flowcharts
• Diagram system architecture and dependencies
• Visualize database relationships and interactions

Creates interactive data visualizations with Apache ECharts, the open-source JavaScript charting library. Use when a user asks to build charts, dashboards, or data-driven graphics using ECharts in React, Vue, or vanilla JavaScript applications, render a chart to SVG on the server, or upgrade from ECharts 5 to 6.

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SVG generation via DAX measures and extension measures with ImageUrl data category for inline visualizations in PBIR reports, including ready templates for matrix and table cells, new card images and per-button images on the new button slicer. Automatically invoke when the user mentions "SVG visual", "DAX sparkline", "SVG measure", "inline graphics with DAX", "ImageUrl data category", "extension measure", or asks to create any DAX-generated chart (progress bars, bullet charts, KPI indicators, data bars, gauges, donut charts, lollipop charts, dumbbell charts, status pills, overlapping bars, boxplots, IBCS bars, jitter plots, box-and-whisker charts).

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3D chart visualization with Swift Charts using Chart3D, SurfacePlot, interactive pose control, and surface styling — plus a 2D Swift Charts construction reference (marks, axes, selection, SectorMark, scrollable charts). Use when creating data visualizations with Swift Charts.

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Build responsive, readable charts with Recharts using correct data mapping and composition. Use whenever creating charts with Recharts — LineChart, BarChart, AreaChart, PieChart, wrapped in ResponsiveContainer with a fixed-height parent. Not for charts built with other libraries.

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Load this skill whenever the project contains charts, graphs, data visualizations, infographics, or any visual representation of data (bar charts, line charts, pie charts, scatter plots, dashboards). Under no circumstances render a chart without a text alternative, data table, or summary. Prioritize conveying the same information through non-visual means.

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Implements data visualization charts in Flutter using the fl_chart package (v1.2.0). Supports LineChart, BarChart, PieChart, ScatterChart, RadarChart, and CandlestickChart with implicit animations, touch interactivity, and pan/zoom transformations. Use when building any Flutter chart, graph, or data visualization — including line graphs for trends, bar charts for comparisons, pie/donut charts for proportions, scatter plots for distributions, radar charts for multi-axis comparisons, or candlestick charts for financial OHLC data. Also use when customizing chart axes, titles, tooltips, grid lines, touch callbacks, chart animations, or chart zoom/pan behavior.

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Create videos in React with Remotion using focused implementation guidance and code examples. The skill covers animation, audio, captions, charts, 3D content, and scene transitions, along with handling media assets and timing.

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• Creating animated text and scene transitions
• Adding audio and subtitles to videos
• Showing charts and 3D content in videos

Turn CSV, Excel, or JSON data into a visual report page with key metrics, multiple charts, a data table, and written observations. The report uses supplied data and includes its source, reporting period, and methodology.

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• Turn growth data into a visual weekly report
• Present key metrics and year-over-year changes
• Share charts alongside source data and methodology

Create charts and dashboards with a consistent approach to chart selection, color validation, labels, and interaction. Includes a palette checker and accessibility rules for readable visualizations in both light and dark modes.

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• Choose a chart type that fits the data
• Validate chart colors for color vision differences
• Build charts for light and dark modes

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.

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

Read, create, and edit Excel workbooks, including formulas, formatting, charts, and multiple sheets. Clean CSV or TSV tables and prepare spreadsheet deliverables, with guidance on choosing fixed calculated values or formulas that update later.

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• Clean inconsistent CSV or TSV tables
• Build Excel reports with totals and charts
• Update an existing workbook while keeping its formatting

Build Helm charts, reusable packages for deploying Kubernetes applications. Organize templates, manage configuration values for different environments, document settings, and validate charts before packaging or installation, with guidance for troubleshooting deployment and dependency problems.

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• Create a Helm chart from scratch
• Package a Kubernetes application for distribution
• Manage deployment settings across environments

Build custom interactive charts, maps, and network diagrams with d3.js. The skill guides data preparation, styling, resizing, and interactions such as zooming and tooltips, giving detailed control over how data appears and responds to users.

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• Creating charts beyond standard library options
• Exploring relationships in a network diagram
• Adding zoom and tooltips to visualizations

Create Mermaid diagrams from text to explain software structure, API interactions, workflows, and database relationships. The skill guides diagram selection, syntax, styling, and export, helping keep visual documentation editable and stored alongside code.

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• Explaining system architecture with diagrams
• Mapping API requests and responses
• Documenting database table relationships

Choose suitable charts for trends, comparisons, distributions, and relationships, then create them in Python with matplotlib, seaborn, or plotly. Apply guidance on colors, labels, scales, and accessibility to produce publication-quality figures or interactive charts.

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• Choose a chart type that fits the data and message
• Create figures for reports or publications
• Build interactive charts with Plotly

Create and inspect charts, PDFs, editable Word documents, spreadsheets, and browser presentations from supplied material. The skill selects tools for each format, checks content and layout, and delivers files or opens presentations with animation.

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• Create charts from source data
• Prepare a PDF report with figures
• Create an editable Word document

Turn data exploration findings into one Markdown report with embedded charts and tables. Adapt the structure for a short summary, blog post, executive briefing, KPI overview, or detailed analysis while checking supporting data.

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• Summarize analysis findings for management
• Write a blog post with supporting charts
• Compile a KPI overview with commentary

Interactive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).

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A low-level plotting library for comprehensive customization. Use when fine-grained control over every plot element is needed, creating new types of charts, or integrating into specific scientific workflows. Can export to PNG/PDF/SVG for publication. For quick statistical charts, use seaborn; for interactive charts, use plotly; for journal-style, publication-ready multi-panel charts, use scientific-visualization.

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Implement, review, or improve data visualizations using Swift Charts. Use when building bar, line, area, point, pie, donut, or iOS 26 3D charts; when adding chart selection, scrolling, annotations, axes, scales, legends, or foregroundStyle grouping; when plotting functions with BarPlot, LinePlot, AreaPlot, PointPlot, Chart3D, or SurfacePlot; or when creating heat maps, Gantt charts, grouped bars, sparklines, threshold lines, or spatial visualizations.

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