How to Create a Combination Chart

Combine bars and lines to compare across types.

How to create a Combination Chart in the Advanced Chart Builder

1

Start with the right data

Ensure your dataset includes:

  • One categorical variable (often time-based, like semester or grade level)

  • Two or more numeric values with different scales or metrics (e.g., average score + enrollment count)

2

Open the Advanced Chart Builder

Open the Advanced Chart Builder from a thread or Pin to launch the builder.

3

Open the Chart tab

  • Select the Combination Chart.

  • Review the live preview of your chart.

4

Go to the Setup tab

  • Set the Category field to define your horizontal axis (e.g., Term)

  • Add both Series fields that you want to visualize (e.g., Enrollment Count, Graduation Rate)

  • For each series, choose:

    • Aggregation method (e.g., Sum, Average)

    • Visualization type: Column, Line, Area, Grouped Column, or Stacked Column

    • Y-axis assignment: Use the secondary Y-axis for a series with a different scale (e.g., count vs. percentage)

5

Apply Data Filters

Filter your data to reduce clutter, increase readability, and focus the chart on the story.

6

Customize the Chart (Optional)

Use the Customize tab to adjust the look of your chart:

  • Add axis titles and chart labels

  • Adjust colors, axis lines, labels, and tooltips

7

Save the Chart

Click Save when you’re ready to apply your changes, or Cancel to discard the changes.

Combination Chart Use Cases

Need some inspiration? Consider these examples where a Combination Chart may work well.

  • Show average GPA (line) alongside student enrollment (bar) over academic years.

  • Compare number of tutoring sessions (bar) to test score growth (line) across terms.

  • Visualize budget allocation (bar) with actual spending (line) by department.

  • Track attendance rate (line) vs. disciplinary incidents (bar) by month.

  • Monitor technology use (bar) with student satisfaction (line) across courses or grade levels.

Combination Chart Tips and Best Practices

  • Use when metrics are related but not necessarily on the same scale. Apply a secondary axis where needed.

  • Limit to just 2 or 3 data series to avoid clutter and confusion.

  • Choose contrasting chart types (e.g., line + bar) to visually distinguish the series.

  • Label each axis clearly and add a legend so viewers can quickly interpret what each element represents.

  • Ideal for storytelling where context between two data points strengthens the insight (e.g., investment vs. outcome).

Last updated

Was this helpful?