Data Visualization: a successful design process

Spis treści ebooka

• Data Visualization: a successful design process
  • Table of Contents
  • Data Visualization: a successful design process
  • Credits
  • About the Author
  • About the Reviewers
  • www.PacktPub.com
    • Support files, eBooks, discount offers and more
      • Why Subscribe?
      • Free Access for Packt account holders
  • Preface
    • What this book covers
    • What you need for this book
    • Who this book is for
    • Conventions
    • Reader feedback
    • Customer support
      • Errata
      • Piracy
      • Questions
  • 1. The Context of Data Visualization
    • Exploiting the digital age
    • Visualization as a discovery tool
    • The bedrock of visualization knowledge
    • Defining data visualization
    • Visualization skills for the masses
    • The data visualization methodology
    • Visualization design objectives
      • Strive for form and function
      • Justifying the selection of everything we do
      • Creating accessibility through intuitive design
      • Never deceive the receiver
    • Summary
  • 2. Setting the Purpose and Identifying Key Factors
    • Clarifying the purpose of your project
      • The reason for existing
      • The intended effect
    • Establishing intent the visualizations function
      • When the function is to explain
      • When the function is to explore
      • When the function is to exhibit data
    • Establishing intent the visualization's tone
      • Pragmatic and analytical
      • Emotive and abstract
    • Key factors surrounding a visualization project
    • The "eight hats" of data visualization design
      • The initiator
      • The data scientist
      • The journalist
      • The computer scientist
      • The designer
      • The cognitive scientist
      • The communicator
      • The project manager
    • Summary
  • 3. Demonstrating Editorial Focus and Learning About Your Data
    • The importance of editorial focus
    • Preparing and familiarizing yourself with your data
    • Refining your editorial focus
    • Using visual analysis to find stories
    • An example of finding and telling stories
    • Summary
  • 4. Conceiving and Reasoning Visualization Design Options
    • Data visualization design is all about choices
    • Some helpful tips
    • The visualization anatomy data representation
      • Choosing the correct visualization method
      • Considering the physical properties of our data
      • Determining the degree of accuracy in interpretation
      • Creating an appropriate design metaphor
      • Choosing the final solution
    • The visualization anatomy data presentation
      • The use of color
        • To represent data
        • To bring the data layer to the fore
        • To conform to design requirements
    • Creating interactivity
    • Annotation
    • Arrangement
    • Summary
  • 5. Taxonomy of Data Visualization Methods
    • Data visualization methods
    • Choosing the appropriate chart type
      • Comparing categories
        • Dot plot
        • Bar chart (or column chart)
        • Floating bar (or Gantt chart)
        • Pixelated bar chart
        • Histogram
        • Slopegraph (or bumps chart or table chart)
        • Radial chart
        • Glyph chart
        • Sankey diagram
        • Area size chart
        • Small multiples (or trellis chart)
        • Word cloud
      • Assessing hierarchies and part-to-whole relationships
        • Pie chart
        • Stacked bar chart (or stacked column chart)
        • Square pie (or unit chart or waffle chart)
        • Tree map
        • Circle packing diagram
        • Bubble hierarchy
        • Tree hierarchy
      • Showing changes over time
        • Line chart
        • Sparklines
        • Area chart
        • Horizon chart
        • Stacked area chart
        • Stream graph
        • Candlestick chart (or box and whiskers plot, OHLC chart)
        • Barcode chart
        • Flow map
      • Plotting connections and relationships
        • Scatter plot
        • Bubble plot
        • Scatter plot matrix
        • Heatmap (or matrix chart)
        • Parallel sets (or parallel coordinates)
        • Radial network (or chord diagram)
        • Network diagram (or force-directed/node-link network)
      • Mapping geo-spatial data
        • Choropleth map
        • Dot plot map
        • Bubble plot map
        • Isarithmic map (or contour map or topological map)
        • Particle flow map
        • Cartogram
        • Dorling cartogram
        • Network connection map
    • Summary
  • 6. Constructing and Evaluating Your Design Solution
    • For constructing visualizations, technology matters
      • Visualization software, applications, and programs
      • Charting and statistical analysis tools
      • Programming environments
      • Tools for mapping
        • Other specialist tools
    • The construction process
    • Approaching the finishing line
    • Post-launch evaluation
    • Developing your capabilities
      • Practice, practice, practice!
      • Evaluating the work of others
      • Publishing and sharing your output
      • Immerse yourself into learning about the field
    • Summary
  • Index

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