Tableau Data Visualizations
Who Should Take This Class
Experienced Tableau users who want to learn more about best practices for designing visualizations. Note that we assume you already know how to use Tableau. It is people who want to learn about proper design of visualizations so they are understandable.
Ideal for analysts, engineers, marketers, journalists, and researchers, this book describes the principles of communicating data and takes you on an in-depth tour of common visualization methods. You’ll learn how to craft articulate and creative data visualizations with Tableau Desktop
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
Principle #4: Design for Aesthetics
Principle #5: Choose an Effective Medium and Channel
Principle #6: Check the Results
Introduction to Tableau
Using Tableau
My Tableau Story
Tableau Products
Connecting to Data
The Tableau User Interface
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
Ratios and Rates
Ratios
Two Ways of Adding Rank
Rates
Blending Data Sources
Visualizing Rates
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
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
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
Understanding Uncertainty
Multiple Quantities
Scatterplots
Who Is Who
Making it Exploratory
Adding Background Images
Stacked Bars
Regression and Trend Lines
The Quadrant Chart
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
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
Advanced Maps
Maps with Shapes
Maps Showing Paths
Plotting Map Shapes Using Axes
The Joy of Dashboards
Dashboards in Tableau
A Word of Caution
Begin with the End in Mind
Types of Dashboards
Context Is King
Building Dashboards
Building an Exploratory Dashboard
Step 1: Design
Step 2: Sheets
Moving Things Around
Step 3: Annotations
Step 4: Objects
Step 5: Actions
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
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
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