Communicating Data with Tableau

Table of contents

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