Stream Graph Maker

Create Interactive Flow Charts for Time Series Data

Category Color Actions
Data Points
Category Time Period Value Actions

Supported formats: CSV, TXT

Category,Time Period,Value,Color Product A,Jan 2023,35,#2c7da0 Product A,Feb 2023,42,#2c7da0 Product A,Mar 2023,38,#2c7da0 Product B,Jan 2023,25,#a9d6e5 Product B,Feb 2023,28,#a9d6e5 Product B,Mar 2023,32,#a9d6e5 Product C,Jan 2023,20,#01497c Product C,Feb 2023,22,#01497c Product C,Mar 2023,25,#01497c
Chart Appearance
Graph Customization
Export Options

About Stream Graphs

Stream graphs are a type of stacked area chart that displays changes in data over time. They are particularly useful for visualizing how the composition of a whole changes over time.

Best Practices: Use stream graphs to show how different categories contribute to a whole over time. Use distinct colors for each category. Order categories logically. Include a legend for clarity.

When to Use Stream Graphs

  • Market Share Analysis: Visualize market share changes over time
  • Website Traffic: Show traffic sources over time
  • Product Sales: Display sales distribution across products
  • Social Media Trends: Visualize topic popularity over time
  • Financial Analysis: Show asset allocation changes

Stream Graph Design Tips

  • Color Contrast: Use distinct colors for adjacent categories
  • Clear Labels: Label important time points
  • Time Scale: Use consistent time intervals
  • Data Smoothing: Apply smoothing for better visualization
  • Axis Labels: Clearly label both axes
  • Legend: Include a legend for category identification

Common Stream Graph Types

Type Description Best For
Basic Stream Standard stream graph with time on x-axis Most time-series distribution data
Centered Stream Stream graph centered around a baseline Showing positive and negative values
Interactive Stream Stream graph with hover tooltips Detailed data exploration
Multi-Stream Multiple stream graphs for comparison Comparing different datasets
Animated Stream Stream graph with animation over time Showing evolution of data

Data Preparation Tips

  • Time Consistency: Use consistent time intervals
  • Category Definition: Define clear categories
  • Data Completeness: Ensure data is complete for all time points
  • Value Scaling: Scale values appropriately
  • Color Selection: Use distinct, accessible colors

Stream Graph Examples

Market Share

Product Sales

Website Traffic

Social Media Trends

Where Stream Graphs are Used

  • Financial Analysis
  • Sales Tracking
  • Market Research
  • Demographic Studies
  • Network Traffic Analysis