Synopses & Reviews
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. Youll 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
Learn how to discover and present quantitative truths with data, using the fast-growing data visualization software Tableau. This practical guide takes you step-by-step through a process of converting raw data into richly interactive data visualizations that explain truths or allow others to explore the data for themselves.
Several concrete examples are provided, with each subsequent example building on the one preceding it. Different environments will also be explored, including the shop floor, the boardroom, the newsroom, the lab, and the classroom.
While Tableau Desktop and Tableau Server are sold to companies, Tableau Public is given freely to data journalists, bloggers, students, and researchers.
About the Author
Ben Jones is an award winning Tableau Public author, and is also the Tableau Public product marketing manager at Tableau Software in Seattle, WA. With over 12 years of experience as an engineer, Lean Six Sigma Master Black Belt and Business Analytics manager for a Fortune 500 company, Ben worked on data-driven projects for every department, from facilities to finance.