Retail sales stacked bar graph
This stacked bar graph combines Maple Street Store's monthly sales into one total for each month while retaining the contribution from home, apparel and grocery departments. It works well when a manager needs to compare both store-level performance and the changing composition underneath it. For example, total July sales can rise even if one department is flat because another segment grew. Keep the unit clear and use the same department definitions each month. If the audience must compare small segments precisely, a grouped bar chart may be easier, but stacking gives the cleanest view of the monthly total. It gives teams a concrete starting point for reviewing assumptions, data quality and next steps together.
Open it in the AI editor with a prompt pre-filled — keep what works, change what doesn't.
Scenario
A store manager reviews department revenue.
Key decisions
- Compare totals: Read the total sales height each month.
- Inspect mix: See which departments drive the total.
- Find shifts: Identify departments changing faster than others.
When to reuse this
Use for time periods with additive categories such as department sales.
Frequently asked questions
Why label the axis in thousands?
What does the bar height show?
When should I avoid stacked bars?
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