Grouped Bar Chart
A grouped bar chart places multiple bars side by side for each category on the X-axis - one bar per sub-category. This lets you compare both the values within each main category and how each sub-category performs across all categories at once.
Grouped bar charts excel at comparing two or more datasets across multiple categories simultaneously.
An example of an embedded grouped bar chart
Creating an Effective Grouped Bar Chart
Recommended data types for each axis:
- X-Axis Dates or categorical data
- Y-Axis Numerical values
- Breakdown Axis Categorical data (each unique value becomes a separate bar within the group)
Description
- Bar groups - for each X-axis category, a cluster of bars is drawn; each bar in the cluster represents a different sub-category
- X-Axis - lists the main categories being compared
- Y-Axis - represents the measured quantity; starts at zero
- Colors - each sub-category is assigned a consistent color across all groups
- Legend - maps each color to its corresponding sub-category
When to Use a Grouped Bar Chart
- Compare sub-categories within and across groups - side-by-side bars make within-group differences easy to read
- Analyze multiple series over time - when time periods are on the X-axis, trends within each series are visible
- Focus on absolute values - unlike stacked bars, each bar in a group shares the same zero baseline, making precise comparisons straightforward
- Highlight cross-group patterns - spot whether one sub-category consistently outperforms others across all groups
When to Avoid a Grouped Bar Chart
- Too many sub-categories - more than 4–5 bars per group makes the chart cluttered; consider filtering or using a stacked bar chart
- Part-to-whole comparisons - when proportions matter more than absolute values, use a stacked bar chart
- Continuous trends - use a grouped line chart when the X-axis is a time series with many data points
Further Reading
When to Use a Bar Chart - a deeper look at bar chart use cases, common mistakes, and alternatives.