Free Grouped Bar Chart Maker

What is a grouped bar chart

A grouped bar chart (also called a clustered bar chart) places bars from different data series side by side within each category. Each cluster of bars shares a category label, and each bar within the cluster represents a different series.

This makes it easy to compare specific values across series. Unlike stacked charts, every bar starts from the same baseline, so differences are visually accurate.

Common examples: quarterly sales by team, survey responses by age group, product ratings by region, A/B test results by metric.

When to use grouped vs. stacked

Grouped and stacked charts display the same multi-series data but answer different questions.

Grouped answers: “How does Series A compare to Series B in this category?” The shared baseline makes direct comparison precise.

Stacked answers: “What is the total for this category, and how is it composed?” Stacking shows part-to-whole relationships but makes individual segment comparison harder (except for the bottom segment).

If your audience needs to compare specific values between series, use grouped. If they need totals with composition breakdown, use stacked. You can switch between the two using the “Stacked” toggle above to see which tells your story better.

How to read a grouped bar chart

Each cluster of bars represents one category (a quarter, a product, a region). Within each cluster, the individual bars represent different series (teams, products, segments). Compare bar heights within a cluster to see which series performed best in that category. Compare the same-colored bar across clusters to see how one series changed over time or across groups.

The legend tells you which color maps to which series. Hover or enable data labels for exact values.

Grouped bar chart best practices

• Limit to 2-4 series. More than four bars per cluster gets crowded and hard to read. If you have many series, consider small multiples or a different chart type.
• Use consistent colors. Each series should use the same color across all categories. The color palette in this tool handles this automatically.
• Order meaningfully. If one series is the “main” comparison, put it first (leftmost in each cluster). Time-based categories should go chronologically.
• Add a legend. Multi-series charts need a legend so readers know what each color represents. The legend appears automatically when you have more than one series.
• Consider the space. Grouped bars consume more horizontal space than single bars. If you have many categories, a horizontal orientation may help.