Distribution Chart
This node renders a normal distribution (bell curve) chart.
The Distribution Chart node visualizes statistical data defined by mean and standard deviation.
The Distribution Chart node plots a Gaussian distribution curve. It is useful for visualizing probability distributions, such as the volatility of a slot game or expected user behavior.
Inputs
Data
| Data | Description |
|---|---|
| Mean (μ) | The center point of the distribution. Default: 0. |
| Std Dev (σ) | The spread of the distribution. Default: 1. |
| Variance (σ²) | Alternative to Std Dev (variance = stdDev^2). If set, overrides Std Dev. |
| Amplitude | Vertical scaling factor. |
Chart Settings
| Data | Description |
|---|---|
| Line Color | Color of the curve. |
| Chart Title | Title text. |
| X Axis Label | Label for X axis. |
| Y Axis Label | Label for Y axis. |
Actions
| Signal | Description |
|---|---|
| Do | Triggers a re-render. |
Outputs
This node is purely visual.
Usage
Visualizing Volatility
- Connect Mean and Standard Deviation from a Volatility Estimator node to this chart.
- As you simulate spins, the chart will update to show the probability curve of the payouts.
Detailed Behavior
- Rendering: Uses a canvas or SVG to draw the curve based on the probability density function.
Troubleshooting
- Flat Line: If Std Dev is very large or Amplitude is very small, the curve might look flat. Adjust scaling.