What Is a Grouped Bar Chart?

A grouped bar chart compares more than one series inside each category. Each category shows multiple bars side by side.

Use it when one category needs more than one measurement, such as 2023 sales versus 2024 sales.

Start With the Raw Data

A grouped chart starts with repeated categories across different series:

Category 2023 2024
Software R3,900 R4,500
Hardware R2,900 R3,200
Services R2,100 R2,800

Instead of a single total per category, grouped bars show each category with multiple related values so you can compare both within the category and across categories.

What This Chart Helps You See

2023 vs 2024 sales
Plan vs actual
Branch comparison

Common Ways to Use a Grouped Bar Chart

  • Compare last year vs this year sales by category.
  • Compare planned vs actual budget by department.
  • Compare customer counts across branches and quarters.

Frequently Asked Questions

What's the difference between grouped and stacked bars?

Grouped bars show each series separately inside the same category, while stacked bars combine them into a single total. Grouping is clearer when you want to compare series directly.

How to Use the Live Example Below

Change any series value in the grid and save to compare how the side-by-side bars shift.

Side-by-Side Comparisons

Grouped bar charts are perfect when each category has multiple series you want to compare side by side, such as regions, teams, or product lines.

Live Demo: Editable Series Data

Instructions: Update a value in the grid to see the grouped bars refresh.

Category 
Series 
Value 
Inserted values
Updated values
Deleted values
SoftwareNorth$4,500.00
SoftwareSouth$3,800.00
SoftwareWest$3,100.00
HardwareNorth$3,200.00
HardwareSouth$2,900.00
HardwareWest$2,600.00
ServicesNorth$2,800.00
ServicesSouth$2,400.00
ServicesWest$2,100.00
Preview changes
Save changes
Cancel changes
The Grouped Bar Comparison chart showing North series, South series, West series.

When to Use Grouped Bars

  • When each category has multiple comparable series.
  • When you need a clear, side-by-side comparison.
  • When the number of series is small (2-4).