Communicating Data With Tableau by Jones, Ben -- Read -- Imperial Library of Trantor

Index

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

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