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) or generate_area_chart (accumulated trends). Use generate_dual_axes_chart for two different scales.
• Comparisons: Use generate_bar_chart (categorical) or generate_column_chart. Use generate_histogram_chart for frequency distributions.
• Part-to-Whole: Use generate_pie_chart or generate_treemap_chart (hierarchical).
• Relationships & Flow: Use generate_scatter_chart (correlation), generate_sankey_chart (flow), or generate_venn_chart (overlap).
• Maps: Use generate_district_map (regions), generate_pin_map (points), or generate_path_map (routes).
• Hierarchies & Trees: Use generate_organization_chart or generate_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_chart or generate_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.