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Spis treści

Communicating Data with Tableau. Designing, Developing, and Delivering Data Visualizations eBook -- spis treści

• Communicating Data with Tableau
• Preface
  • Intended Audience
  • Assumptions This Book Makes
  • Contents of This Book
  • Conventions Used in This Book
  • Using Code Examples
  • Safari Books Online
  • How to Contact Us
  • Acknowledgments
• 1. Communicating Data
  • A Step in the Process
  • A Model of Communication
  • Three Types of Communication Problems
  • Six Principles of Communicating Data
    • Principle #1: Know Your Goal
    • Principle #2: Use the Right Data
    • Principle #3: Select Suitable Visualizations
      • What type of data do you have?
      • What are the most effective types of visualizations for your data type?
    • Principle #4: Design for Aesthetics
    • Principle #5: Choose an Effective Medium and Channel
    • Principle #6: Check the Results
  • Summary
• 2. Introduction to Tableau
  • Using Tableau
    • My Tableau Story
  • Tableau Products
  • Connecting to Data
    • The Tableau User Interface
      • Sheets
      • Dashboards
      • The toolbar
      • Data types
      • Changing data types
      • Calculated fields
      • Creating visualizations
      • Show Me
    • Summary
• 3. How Much and How Many
  • Communicating How Much
    • An Example of How Much
    • Comparing Comparisons
    • Fine-Tuning the Default
    • Sorting
    • The Dot Chart
  • Communicating How Many
    • A Tale of Two Formats
    • Counting Dimensions
    • Histograms: How Many of How Much?
  • Summary
• 4. Ratios and Rates
  • Ratios
    • Two Ways of Adding Rank
  • Rates
    • Blending Data Sources
    • Visualizing Rates
  • Summary
• 5. Proportions and Percentages
  • Part-to-Whole
    • Introducing Filters and Quick Filters
    • Introducing Table Calculations
    • Proportions as Waterfall Charts Using Gantt
  • Current-to-Historical
    • The Bullet Graph
    • Reference Lines
  • Actual-to-Target
  • Summary
• 6. Mean and Median
  • The Normal Distribution
    • An Example of Normal Data
    • Box Plots
    • An Example of Non-Normal Data
    • Sensitivity to Outliers
    • Visualizing Typical Values of Non-Normal Distributions
  • Summary
• 7. Variation and Uncertainty
  • Respecting Variation
    • Visualizing Variation
  • Variation Over Time: Control Charts
    • Anatomy of a Control Chart
    • How to Create a Control Chart in Tableau
      • The quick method
      • The rigorous method
  • Understanding Uncertainty
  • Summary
• 8. Multiple Quantities
  • Scatterplots
    • Who Is Who?
      • Labels
      • Tooltips
      • Annotations
    • Making it Exploratory
    • Adding Background Images
  • Stacked Bars
  • Regression and Trend Lines
  • The Quadrant Chart
  • Summary
• 9. Changes Over Time
  • The Origin of Time Charts
  • The Line Chart
  • The Dual-Axis Line Chart
  • The Connected Scatterplot
  • The Date Field Type and Seasonality
  • The Timeline
  • The Slopegraph
    • Step 1: Get the Data
    • Step 2: Connect Tableau
    • Step 3: Create a Parameter and Matching Calculated Field
    • Step 4: Create the Basic Slopegraph
    • Step 5: Add Line Coloring and Thickness
    • Step 6: Design the Dashboard
  • Summary
• 10. Maps and Location
  • One Special Map
  • Circle Maps
    • Adding a Second Encoding
    • When Marks Multiply
  • Filled Maps
  • Dual-Encoded Maps
    • A Dual-Axis Map
    • A Dual-Encoded Circle Map
  • Summary
• 11. Advanced Maps
  • Maps with Shapes
  • Maps Showing Paths
  • Plotting Map Shapes Using Axes
  • Summary
• 12. The Joy of Dashboards
  • Dashboards in Tableau
  • A Word of Caution
    • Begin with the End in Mind
  • Types of Dashboards
    • Context Is King
  • Summary
• 13. Building Dashboards
  • Building an Exploratory Dashboard
    • Step 1: Design
    • Step 2: Sheets
    • Moving Things Around
    • Step 3: Annotations
    • Step 4: Objects
      • Hover for More Info icons
    • Step 5: Actions
      • Quick Filters on Dashboards
      • Dynamic Labels on Dashboards
      • Using Sheets as Filters on Dashboards
      • Highlighting Sheets
      • Using Sheets to Highlight
    • Step 6: Formatting
    • Steps 7 and 8: Delivery and Results
  • Building an Explanatory Dashboard
    • A Key Point to Explain: Nordic Countries in the Lead
    • Another Key Point to Explain: The Emergence of China
  • Summary
• 14. Advanced Dashboard Features
  • Animating Dashboards
  • Showing Multiple Tabs
  • Adding Navigation with Filters
  • Adding Custom Header Images
  • Adding Google Maps to Dashboards
    • Create the URLs
    • Adding Dynamic Google Maps Satellite Images to Our Dashboard
  • Adding YouTube Videos to Dashboards
  • Summary
• A. Resources
  • Training
  • Examples
  • Blogs
  • Other Resources
• Index
• Colophon
• Copyright