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Part 1. Fundamentals. How to learn Tableau : my top five tips ; Which Tableau poduct is best for me? ; An introduction to connecting to data ; Shaping data for use with Tableau ; Getting a lay of the land ; Dimension versus measure ; Discrete versus continuous ; Five ways to make a bar chart/An Introduction to aggregation ; Line graphs, independent Axes, and date hierarchies ; Marks cards, encoding, and level of detail ; An introduction to filters ; An introduction to calculated fields ; An introduction to table calculations ; An introduction to parameters ; An introduction to sets ; An introduction to level of detail expressions ; An introduction to dashboards and distribution -- Part 2. Chart types. A spreadsheet is not a data visualization ; How to make a highlight table ; How to make a heat map ; How to make a dual-axis combination chart ; How to make a scatter plot ; How to make a tree map ; How to make sparklines ; How to make small multiples ; How to make bullet graphs ; How to make a stacked area chart ; How to make a histogram ; How to make a box-and-whisker plot ; How to make a symbole map with mapbox integration ; How to make a filled map ; How to make a dual-axis map ; How to map a sequential path ; How to map anything in Tableau ; How to make custom polygan maps ; How to make a gantt chart ; How to make a waterfall chart ; How to make dual-axis slope graphs ; How to make donut charts ; How to make funnel charts ; Introducint pace charts in Tableau ; How to make a pareto chart ; How to make dynamic dual-axis bump charts ; How to make dumbbell charts ; How and why to make customizable plots -- Part 3. Tips and tricks. How to creat icon-based navigation or filters ; How to make a what-if analysis using parameters ; Three ways to add alerts to your dashboards ; How to add instructions or methodology using custom shape palettes ; Ten Tableau data visualization tips I learned from Google analytics ; Three alternative approaches to pie charts in Tableau ; How to create and compare segments ; Five design tips for enhancing your Tableau visualizations ; Leveraging color to improve your data visualization ; Three creative ways to use dashboard actions ; How to conditionally format indivisual rows or columns ; Five tips for creating efficient workbooks ; Using level of detail expressions to create benchmarks ; Designing device-specific dashboards ; How to make a stoplight 100-point index ; The case for one-dimensional unit charts ; How to highlight a dimension ; Allow users to choose measures and dimensions ; How to dynamically format numbers ; How to change date aggregation usin parameters ; How to equalize year-over-year dates ; How to filter out partial time periods ; How to compare two date ranges on one axis ; How to compare unequal date ranges on one axis ; How to make a cluster analysis ; Five tips for making your Tableau public viz go viral ; Three ways to make beautiful bar charts in Tableau ; Three ways to make lovely line graphs in Tableau ; Three ways psychological schemas can improve your data visualization ; Part 4. Framework. Introducing the INSIGHT framework for data visualization ; Identify the business question ; Name KPIs ; Shape the data ; Initial concept ; Gather feedback ; Hone dashboard ; Tell the story -- Part 5. Storytelling

"Whether you have some experience with Tableau software or are just getting started, this manual goes beyond the basics to help you build compelling, interactive data visualization applications. Author Ryan Sleeper, one of the world's most qualified Tableau consultants, complements his web posts and instructional videos with this guide to give you a firm understanding of how to use Tableau to find valuable insights in data. Over five sections, Sleeper--recognized as a Tableau Zen Master, Tableau Public Visualization of the Year author, and Tableau Iron Viz Champion--provides visualization tips, tutorials, and strategies to help you avoid the pitfalls and take your Tableau knowledge to the next level"--Back cover