Combo Chart
Series Settings
| Label | Type | Color | Y-Axis | |
|---|---|---|---|---|
Data
| Category | Revenue | Growth Rate | |
|---|---|---|---|
Axis Settings
General Settings
Display Settings
Free Online Combo Chart Maker
What is a Combo Chart?
A combo chart overlays two or more chart types — typically bars and lines — in a single view, often with a secondary Y-axis to handle different scales. It lets you compare related but distinct metrics side by side, such as monthly revenue alongside growth rate, or sales volume alongside average order value. Use a combo chart when a single chart type would either flatten an important trend or force incompatible units onto the same axis.
Key Features
Dual Y-Axes
Assign each series to a left or right axis so metrics with different units and scales stay readable without distortion.
Mixed Series Types
Combine bars, lines, and area fills in one chart — each series can use its own type independently.
Configurable Curve Types
Choose linear, smooth (monotone), or step curves for line and area series to match the nature of your data.
Per-Series Color Control
Assign a distinct color to every series so viewers instantly tell bars from lines and primary from secondary metrics.
Adjustable Bar and Line Styling
Tune bar width, gap, line stroke, dot size, and area opacity to balance emphasis across overlapping series.
Axis Labels and Legend Positioning
Label each axis and position the legend at the top, bottom, left, or right to keep the chart uncluttered.
Best For
When to Use
- Two metrics share the same categories but have different units or scales
- One metric is a count or volume and the other is a rate or percentage
- You want to show both absolute values and a trend line together
- A pure bar chart hides an important directional pattern in the data
- Stakeholders need to see correlation between two KPIs at a glance
- A dual-line chart would make it hard to distinguish magnitude from rate of change
Common Mistakes
- !Plotting two metrics with the same unit on dual axes — this implies a false scale difference
- !Adding more than two Y-axes, which makes the chart impossible to read
- !Using area fills for both series, causing one to obscure the other
- !Omitting axis labels so viewers cannot tell which scale belongs to which series
- !Mixing bar and line series where the line represents a cumulative total already shown in the bars
- !Choosing a step curve for continuous data, making smooth trends look like discrete jumps