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Combination Widget

Combination Widget

Overview

The Combination widget combines different chart types (e.g., bars + line) with different Y-axes in a single visualization. It's ideal for displaying different metrics with varying scales simultaneously and visualizing complex relationships.

Use Cases

  • Multi-Scale Metrics - Display metrics with different scales together
  • Correlation Visualization - Show relationships between different measurements
  • Performance Dashboards - Combine volume and rate metrics
  • Complex Analysis - Multiple visualization types in one view
  • Comparative Analysis - Compare different data types simultaneously

Key Features

  • Multiple chart types in one widget
  • Dual Y-axes
  • Bar and line combinations
  • Independent scaling
  • Color-coded series
  • Legend management

Configuration

Basic Settings

FieldRequiredDescription
Title❌ NoDisplay name for the widget
Thing✅ YesSelect Thing to display data from (not required for ThingType dashboards)
Timeframe✅ YesTime range (from/to) for data display
Measures✅ YesAdd measures to display. Each measure requires: measure ID, aggregation, chart type (line/bar), line type (for lines) and color

Chart Settings

FieldRequiredDescription
Y-Axis Min❌ NoMinimum value for Y-axis
Y-Axis Max❌ NoMaximum value for Y-axis
Gapfill❌ NoHandle missing data (NONE, TIME, LOCF)
Bucket type✅ YesChoose 'dynamic' or 'fixed' time bucket aggregation
Bucketsize / Data density✅ YesAggregation interval (depends on bucket type)
Thresholds❌ NoDefine threshold lines with colors and values

Display Options

FieldRequiredDescription
Show chart markers❌ NoDisplay data point markers on lines
Zoom allowed❌ NoEnable zoom functionality (default: true)
Show Table❌ NoDisplay data in table format below the chart
Display mode❌ NoChoose chart, table, or split view
Override❌ NoUse widget-specific time settings instead of dashboard defaults
Transparent❌ NoRemove widget background
Border color❌ NoCustom border color
Background Color❌ NoCustom background color

Best Practices

  1. Logical Grouping - Combine related metrics only
  2. Clear Legends - Ensure legends clearly identify series and axes
  3. Axis Labels - Label both Y-axes with units
  4. Color Coding - Use consistent colors for related data
  5. Limit Complexity - Don't combine too many series (max 4-5)

What's Next?