CS-GY 6313: Information Visualization
1.0.0
1.0.0
  • Introduction
  • Defining Information Visualization
  • Why Use Visualization?
  • Popular Visualization Sources and Tools
  • Why Use a Graphical Representation?
  • The Problem with Statistics
  • Why Use a Computer to Visualize Data?
  • Why Use Interaction?
  • Assessing the Quality of a Visualization
  • Data Abstraction
    • Types of Datasets
    • Types of Attributes
    • Attribute Semantics
    • Data Abstraction to Visualization
    • Data Profiling
  • Fundamental Graphs
    • Alternate Representations
    • Visualizing More Than 2 Attributes
    • Faceting
  • Data Transformation
  • Graphical Components and Mapping Strategies
    • Marks
    • Channels
    • Graphical Decoding
    • Evaluating the Quality of a Visual Encoding
    • Contextual Components
  • Color
    • Color Perception
    • Color Specification
    • Color Use
      • Quantitative Color Scales
      • Categorical Color Scales
      • Diverging Color Scales
      • Highlighting
    • Perceptual Issues with Color
  • Geo Visualization
    • When to Use Maps
    • Geo Visualization Techniques
      • Dot Maps
      • Heat Maps
      • Hexbin Maps
      • Choropleth Maps
      • Graduated Symbol Maps
      • Summary of Map Types
    • Issues with Maps
    • Visualizing Geo Data with Time
  • Visualizing Temporal Data
    • Time Structures
    • Visualization Methods
    • Increasing Visual Scalability
    • Beyond Using Position
  • Networks and Trees
    • Visualizing Network Data
      • Node-Link Diagrams
        • Clutter Reduction
      • Matrices
    • Visualizing Trees
      • Node-Link Diagrams
      • Special Kinds of Trees
      • Space-Partitioning and Containment
        • Sunburst and Icicle Plots
  • Interaction and Multiple Views
    • Single and Multiple View Methods
      • Single View Methods
      • Multiple (Linked) Views Methods
    • Common Scenarios
  • Exploring Data
  • Animation, Pacing and Exposition
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  • Sunburst and Icicle Plots
  • Sunburst
  • Icicle Plot

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  1. Networks and Trees
  2. Visualizing Trees
  3. Space-Partitioning and Containment

Sunburst and Icicle Plots

PreviousSpace-Partitioning and ContainmentNextInteraction and Multiple Views

Last updated 5 years ago

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Sunburst and Icicle Plots

Sunburst

It is a technique that shows hierarchical structure and, at the same time, aims to be as scalable as treemaps.

The center is the root node. Areas are proportionate to node values. Every layer has children of the nodes in the previous layer.

As shown, it uses a radial layout.

Icicle Plot

It is essentially the same as a sunburst, but doesn't use a radial layout.

They use space less efficiently, but make it easier to perceive hierarchy.

The top layer is the root node, areas are proportionate to node values, and every layer has the child nodes of the nodes in the layer above it.