chart-visualization

# 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.

### 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 i