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Cell Bar Chart Node

The Cell Bar Chart Node, invented by Datastripes, introduces a novel way to visualize scatter plot data by dividing the chart area into an n x n grid. Each grid cell contains a progress bar that represents the percentage of data points within that cell relative to the total dataset.

Overview​

This node requires the user to select X and Y axis columns for scatter plotting and configure the grid size (n). Each cell in the grid displays a progress bar, providing a unique perspective on data distribution.

Key Features​

  • Grid-based visualization: Divides the chart into an n x n grid for detailed analysis.
  • Progress bar representation: Each cell shows the percentage of data points it contains.
  • Configurable grid size: Adjust the granularity of the grid.
  • Dashboard ready: Integrates seamlessly with dashboards for interactive exploration.

Required Data​

  • xColumn: The X-axis column.
  • yColumn: The Y-axis column.
  • gridSize: Configurable size of the grid (n x n).
  • normalize (optional): Normalize percentages across the grid.

How it works​

  1. Add the Cell Bar Chart Node to your workflow.
  2. Connect your dataset.
  3. Select the X and Y axis columns.
  4. Configure the grid size (n) and other display options.
  5. The node renders a scatter plot divided into grid cells, each with a progress bar.

Use Cases​

  • Customer segmentation: Visualize customer distribution across demographic groups.
  • Geospatial analysis: Analyze density of data points in geographic regions.
  • Performance tracking: Monitor data distribution across different categories.
  • Event clustering: Identify hotspots in event data.

Benefits​

  • Innovative visualization of scatter plot data.
  • Granular insights through configurable grid size.
  • Efficient handling of large datasets.