From the Book - First edition.
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
