Practical Tableau
Subtitle: 100 tips, tutorials, and strategies from a Tableau zen master
By: by Ryan Sleeper
Edition: 1st Edition
Publisher: O’Reilly Media
Published: 2018-04-03
Place of publication: Beijing; Boston; Farnham; Sebastopol; Tokyo
Language: eng
Format: paperback; eBook
Number of pages: 599
ISBN-13: 9781491977316
Copyright date: 2018
Subjects: Tableau (Computer file); Information visualization; Computer programs
First sentence: Eight years ago, my then-boss asked our team of three analysts to try using a “new” tool called Tableau.
Notes: Includes index.
Table of contents: title: Part 1. Fundamentals.  How to learn Tableau : my top five tips; title: Which Tableau poduct is best for me?; title: An introduction to connecting to data; title: Shaping data for use with Tableau; title: Getting a lay of the land; title: Dimension versus measure; title: Discrete versus continuous; title: Five ways to make a bar chart/An Introduction to aggregation; title: Line graphs, independent Axes, and date hierarchies; title: Marks cards, encoding, and level of detail; title: An introduction to filters; title: An introduction to calculated fields; title: An introduction to table calculations; title: An introduction to parameters; title: An introduction to sets; title: An introduction to level of detail expressions; title: An introduction to dashboards and distribution; title: Part 2. Chart types.  A spreadsheet is not a data visualization; title: How to make a highlight table; title: How to make a heat map; title: How to make a dual-axis combination chart; title: How to make a scatter plot; title: How to make a tree map; title: How to make sparklines; title: How to make small multiples; title: How to make bullet graphs; title: How to make a stacked area chart; title: How to make a histogram; title: How to make a box-and-whisker plot; title: How to make a symbole map with mapbox integration; title: How to make a filled map; title: How to make a dual-axis map; title: How to map a sequential path; title: How to map anything in Tableau; title: How to make custom polygan maps; title: How to make a gantt chart; title: How to make a waterfall chart; title: How to make dual-axis slope graphs; title: How to make donut charts; title: How to make funnel charts; title: Introducint pace charts in Tableau; title: How to make a pareto chart; title: How to make dynamic dual-axis bump charts; title: How to make dumbbell charts; title: How and why to make customizable plots; title: Part 3. Tips and tricks.  How to creat icon-based navigation or filters; title: How to make a what-if analysis using parameters; title: Three ways to add alerts to your dashboards; title: How to add instructions or methodology using custom shape palettes; title: Ten Tableau data visualization tips I learned from Google analytics; title: Three alternative approaches to pie charts in Tableau; title: How to create and compare segments; title: Five design tips for enhancing your Tableau visualizations; title: Leveraging color to improve your data visualization; title: Three creative ways to use dashboard actions; title: How to conditionally format indivisual rows or columns; title: Five tips for creating efficient workbooks; title: Using level of detail expressions to create benchmarks; title: Designin device-specific dashboards; title: How to make a stoplight 100-point index; title: The case for one-dimensional unit charts; title: How to highlight a dimension; title: Allow users to choose measures and dimensions; title: How to dynamically format numbers; title: How to change date aggregation usin parameters; title: How to equalize year-over-year dates; title: How to filter out partial time periods; title: How to compare two date ranges on one axis; title: How to compare unequal date ranges on one axis; title: How to make a cluster analysis; title: Five tips for making your Tableau public viz go viral; title: Three ways to make beautiful bar charts in Tableau; title: Three ways to make lovely line graphs in Tableau; title: Three ways psychological schemas can improve your data visualization; title: Part 4. Framework.  Introducing the INSIGHT framework for data visualization; title: Identif the business question; title: Name KPIs; title: Shape the data; title: Initial concept; title: Gather feedback; title: Hone dashboard; title: Tell the story; title: Part 5. Storytelling.