chart-visualization
Intelligently select the most suitable chart type for data visualization, extracting parameters from 26 options.
npx skills add antvis/chart-visualization-skills --skill chart-visualizationBefore / After Comparison
1 组When faced with large datasets, selecting the appropriate chart type is time-consuming and laborious. Ineffective chart creation struggles to convey data insights clearly, leading to low data analysis efficiency and hindering the decision-making process.
Intelligently recommends the most suitable chart types, automatically extracts key parameters, and rapidly generates professional visualization charts. Clearly presents data trends, significantly improves data analysis efficiency, and supports precise decision-making.
Chart Visualization Skill
This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.
Workflow
To visualize data, follow these steps:
1. Intelligent Chart Selection
Analyze the user's data features to determine the most appropriate chart type. Use the following guidelines (and consult references/ for detailed specs):
- Time Series: Use
generate_line_chart(trends) orgenerate_area_chart(accumulated trends). Usegenerate_dual_axes_chartfor two different scales. - Comparisons: Use
generate_bar_chart(categorical) orgenerate_column_chart. Usegenerate_histogram_chartfor frequency distributions. - Part-to-Whole: Use
generate_pie_chartorgenerate_treemap_chart(hierarchical). - Relationships & Flow: Use
generate_scatter_chart(correlation),generate_sankey_chart(flow), orgenerate_venn_chart(overlap). - Maps: Use
generate_district_map(regions),generate_pin_map(points), orgenerate_path_map(routes). - Hierarchies & Trees: Use
generate_organization_chartorgenerate_mind_map. - Specialized:
generate_radar_chart: Multi-dimensional comparison.generate_funnel_chart: Process stages.generate_liquid_chart: Percentage/Progress.generate_word_cloud_chart: Text frequency.generate_boxplot_chartorgenerate_violin_chart: Statistical distribution.generate_network_graph: Complex node-edge relationships.generate_fishbone_diagram: Cause-effect analysis.generate_flow_diagram: Process flow.generate_spreadsheet: Tabular data or pivot tables for structured data display and cross-tabulation.
2. Parameter Extraction
Once a chart type is selected, read the corresponding file in the references/ directory (e.g., references/generate_line_chart.md) to identify the required and optional fields.
Extract the data from the user's input and map it to the expected args format.
3. Chart Generation
Invoke the scripts/generate.js script with a JSON payload.
Payload Format:
{
"tool": "generate_chart_type_name",
"args": {
"data": [...],
"title": "...",
"theme": "...",
"style": { ... }
}
}
Execution Command:
node ./scripts/generate.js '<payload_json>'
4. Result Return
The script will output the URL of the generated chart image. Return the following to the user:
- The image URL.
- The complete
args(specification) used for generation.
Reference Material
Detailed specifications for each chart type are located in the references/ directory. Consult these files to ensure the args passed to the script match the expected schema.
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