Communicating data with Tableau: designing, developing, and delivering data visualizations
Jones, Ben
creator
text
cau
Mumbai
Shroff Publishers and Distributors Pvt. Ltd.
2015
monographic
eng
xvi, 315 p.
Go beyond spreadsheets and tables and design a data presentation that really makes an impact. This practical guide shows you how to use Tableau Software to convert raw data into compelling data visualizations that provide insight or allow viewers to explore the data for themselves.
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 8.1 and Tableau Public 8.1.
• Present comparisons of how much and how many
• Use blended data sources to create ratios and rates
• Create charts to depict proportions and percentages
• Visualize measures of mean, median, and mode
• Lean how to deal with variation and uncertainty
• Communicate multiple quantities in the same view
• Show how quantities and events change over time
• Use maps to communicate positional data
• Build dashboards to combine several visualizations
(http://www.shroffpublishers.com/detail.aspx?cat=0&title=6396)
Table of Contents:
Chapter 1 Communicating Data
• Appendix Step in the Process
• Appendix Model of Communication
• Three Types of Communication Problems
• Six Principles of Communicating Data
• Summary
Chapter 2 Introduction to Tableau
• Using Tableau
• Tableau Products
• Connecting to Data
Chapter 3 How Much and How Many
• Communicating “How Much”
• Communicating “How Many”
• Summary
Chapter 4 Ratios and Rates
• Ratios
• Rates
• Summary
Chapter 5 Proportions and Percentages
• Part-to-Whole
• Current-to-Historical
• Actual-to-Target
• Summary
Chapter 6 Mean and Median
• The Normal Distribution
• Summary
Chapter 7 Variation and Uncertainty
• Respecting Variation
• Variation Over Time: Control Charts
• Understanding Uncertainty
• Summary
Chapter 8 Multiple Quantities
• Scatterplots
• Stacked Bars
• Regression and Trend Lines
• The Quadrant Chart
• Summary
Chapter 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
• Summary
Chapter 10 Maps and Location
• One Special Map
• Circle Maps
• Filled Maps
• Dual-Encoded Maps
• Summary
Chapter 11 Advanced Maps
• Maps with Shapes
• Maps Showing Paths
• Plotting Map Shapes Using Axes
• Summary
Chapter 12 The Joy of Dashboards
• Dashboards in Tableau
• A Word of Caution
• Types of Dashboards
• Summary
Chapter 13 Building Dashboards
• Building an Exploratory Dashboard
• Building an Explanatory Dashboard
• Summary
Chapter 14 Advanced Dashboard Features
• Animating Dashboards
• Showing Multiple Tabs
• Adding Navigation with Filters
• Adding Custom Header Images
• Adding Google Maps to Dashboards
• Adding YouTube Videos to Dashboards
• Summary
Information visualization - Computer programs
Query languages (Computer science)
Data mining
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