Overview
The Scatter widget displays points in a coordinate system where X and Y axes represent different variables. It's perfect for identifying correlations between variables, detecting outliers and uncovering trends and patterns in data.
Use Cases
- Correlation Analysis - Identify relationships between two variables
- Outlier Detection - Spot anomalous data points
- Pattern Recognition - Discover clusters and trends
- Quality Control - Plot measurements against specifications
- Multi-Variable Analysis - Analyze relationships between metrics
Key Features
- X-Y coordinate plotting
- Multiple data series
- Trend line support
- Zoom and pan capabilities
- Point labeling
- Color-coded series
Configuration
Basic Settings
| Field | Required | Description |
|---|
| Title | ❌ No | Display name for the widget |
| Thing | ✅ Yes | Select Thing to display data from (not required for ThingType dashboards) |
| Timeframe | ✅ Yes | Time range (from/to) for data display |
| Measures | ✅ Yes | Add measures to display as scatter points. Each measure requires: measure ID, aggregation and color |
Chart Settings
| Field | Required | Description |
|---|
| Y-Axis Min | ❌ No | Minimum value for Y-axis |
| Y-Axis Max | ❌ No | Maximum value for Y-axis |
| Gapfill | ❌ No | Handle missing data (NONE, TIME, LOCF) |
| Bucket type | ✅ Yes | Choose 'dynamic' or 'fixed' time bucket aggregation |
| Bucketsize / Data density | ✅ Yes | Aggregation interval (depends on bucket type) |
| Thresholds | ❌ No | Define threshold lines with colors and values |
Display Options
| Field | Required | Description |
|---|
| Show chart markers | ❌ No | Display data point markers |
| Zoom allowed | ❌ No | Enable zoom functionality (default: true) |
| Show Table | ❌ No | Display data in table format below the chart |
| Display mode | ❌ No | Choose chart, table, or split view |
| Override | ❌ No | Use widget-specific time settings instead of dashboard defaults |
| Transparent | ❌ No | Remove widget background |
| Border color | ❌ No | Custom border color |
| Background Color | ❌ No | Custom background color |
Best Practices
- Variable Selection - Choose variables with potential relationships
- Scale Appropriately - Set axis ranges to highlight patterns
- Multiple Series - Use colors to distinguish data series
- Outlier Analysis - Investigate outliers for insights
What's Next?