Grouped and Stacked Bar Charts
Grouped and Stacked Bar Charts
When you need to compare multiple data series across categories, grouped and stacked bar charts are your tools of choice.
Grouped Bar Charts
Place bars side by side to compare series:
Loading Python Playground...
Three or More Groups
Extend the pattern for multiple series:
Loading Python Playground...
Stacked Bar Charts
Show composition of totals:
Loading Python Playground...
100% Stacked Bar Chart
Show proportions instead of absolute values:
Loading Python Playground...
Horizontal Grouped Bars
Loading Python Playground...
Diverging Stacked Bars
Show positive and negative contributions:
Loading Python Playground...
Adding Totals to Stacked Bars
Loading Python Playground...
Grouped vs Stacked Comparison
Loading Python Playground...
Practice: Revenue Breakdown Chart
Loading Python Exercise...
Key Takeaways
- Grouped bars compare individual values across categories
- Stacked bars show composition and totals
- Calculate bar positions using
np.arange()and offsets for grouping - Use the
bottomparameter for stacking - 100% stacked bars show proportional composition
- Diverging stacked bars show positive/negative contributions
- Add totals on top of stacked bars for quick reference
- Choose grouped vs stacked based on what comparison you want to emphasize
In the next lesson, we'll explore histograms for visualizing data distributions.

