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Voronoi Chart Node

The Voronoi Chart Node visualizes data points using Voronoi diagrams, dividing the plane into regions based on proximity to each data point.

Overview​

This node requires the user to provide a set of data points with X and Y coordinates. Each region in the Voronoi diagram corresponds to a data point, and its boundaries are determined by the distance to neighboring points.

Key Features​

  • Spatial visualization: Displays proximity relationships between data points.
  • Interactive exploration: Hover over regions to view associated data.
  • Customizable appearance: Adjust colors, borders, and labels.
  • Dashboard ready: Integrates seamlessly with dashboards for dynamic analysis.

Required Data​

  • xColumn: The X-coordinate column.
  • yColumn: The Y-coordinate column.
  • valueColumn (optional): For additional data visualization within regions.
  • color, border, labels, interactive: Additional display options.

How it works​

  1. Add the Voronoi Chart Node to your workflow.
  2. Connect your dataset.
  3. Select the X and Y coordinate columns.
  4. Configure display options as needed.
  5. The node renders a Voronoi diagram.

Use Cases​

  • Geospatial analysis: Visualize proximity relationships between locations.
  • Resource allocation: Identify regions closest to specific facilities.
  • Cluster visualization: Explore spatial distribution of data points.
  • Event coverage: Analyze areas influenced by specific events or points.

Benefits​

  • Intuitive spatial representation of data.
  • Customizable visualization for enhanced insights.
  • Efficient handling of large datasets.