Stacked Area Graph

Stacked area graphs show how multiple series contribute to a total over time. Each series is stacked on top of the previous one, making it easy to see both individual contributions and the overall trend. They excel at showing composition changes and part-to-whole relationships.

Example Visualization

Stacked area graph showing revenue composition by product category

Try this prompt

"Create a stacked area graph showing 'Monthly Revenue by Product Category' over 2 years (24 months). Generate realistic e-commerce data for 4 categories: Electronics (base $400K, +15% annual growth), Clothing ($300K, +8% growth with seasonal peaks in Nov-Dec), Home & Garden ($200K, summer peaks), Books ($100K, steady with holiday spike). Use a soft color palette (blues and greens) with clear separation. Add subtle gridlines and monthly X-axis labels (Jan'22 - Dec'23). Show total revenue line on top. Annotate Black Friday/Cyber Monday peak. Include legend ordered by average value. Y-axis in thousands with $ formatting. Title: 'Revenue Growth by Category (2022-2023)'."

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Python Code Example

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Common Use Cases

1Portfolio composition over time
2Market share evolution
3Resource allocation tracking
4Budget breakdown visualization

Pro Tips

Order series by size for readability

Use distinct colors for each series

Consider 100% stacked for proportion focus