Layered Area Chart Maker

Create professional layered area charts to visualize multiple data series with our free online tool.

Enter Data Points
X-Axis Labels
# X-Axis Label Actions
Data Series
Series Name Color Actions
Data Values
X-Axis

Supported formats: CSV, JSON

// JSON Example: { "xLabels": ["Jan", "Feb", "Mar", "Apr", "May"], "series": [ { "name": "Product A", "color": "#2c7da0", "values": [120, 150, 180, 90, 200] }, { "name": "Product B", "color": "#a9d6e5", "values": [90, 120, 150, 110, 180] }, { "name": "Product C", "color": "#01497c", "values": [150, 90, 120, 180, 140] } ] }
Or Use Sample Data

Sample data: Monthly sales for three products

Create Your First Layered Area Chart

Enter data or import data to generate your chart

Chart Appearance
Area Settings
Export Options

About Layered Area Charts

Layered area charts are a type of data visualization that display multiple area charts on the same graph, allowing for comparison of different data series. Unlike stacked area charts, layered charts start from the same baseline, making them ideal for comparing trends.

Best Practices: Use layered area charts when you want to compare multiple series without cumulative effects. Use distinct colors with appropriate opacity for each series. Limit the number of series to prevent visual clutter.

When to Use Layered Area Charts

  • Trend Comparison: Compare trends of multiple variables over time
  • Performance Tracking: Track performance metrics across different categories
  • Market Analysis: Analyze market trends for different products
  • Scientific Research: Visualize experimental results with multiple variables
  • Financial Analysis: Compare stock prices or financial indicators

Layered Area Chart Design Tips

  • Color Selection: Use distinct colors for each series
  • Opacity Control: Adjust opacity to see overlapping areas
  • Series Order: Place important series on top
  • Legend Placement: Include a clear legend for series identification
  • Data Labels: Add labels for key data points
  • Grid Lines: Use subtle grid lines for value estimation

Common Layered Area Chart Applications

Application Description Example
Business Analytics Compare sales trends for multiple products Monthly sales by product line
Marketing Analyze campaign performance across channels ROI by marketing channel over time
Finance Compare stock performance Stock prices for multiple companies
Healthcare Track patient metrics over time Vital signs for different patient groups
Environmental Science Monitor climate variables Temperature and precipitation trends

Layered Area Chart Examples

Quarterly Sales by Product

Monthly Website Traffic Sources

Where Layered Area Charts are Used

  • Business Intelligence
  • Scientific Research
  • Manufacturing
  • Healthcare Analytics
  • Environmental Monitoring