With data and AI increasingly at the forefront of business today, you have a significant advantage when you can manage data, and uncover and communicate data insights effectively. By thoroughly cataloging, indexing, and cross-referencing material, this book aims to flatten the steep Tableau learning curve to start you on your data journey, and serves as a reference and study guide.
Where do I start with Tableau? How do I prepare and connect to data files that are constantly changing? How do I share Tableau files with co-workers, and what is tall data? How do I test whether the calculations and aggregations are correct? How can I create vibrant charts with sorting, color, axis labels, annotations, mark labels, trend lines, tooltips, or reference lines?
This book includes over sixty chart and guides to deliver forty quality charts and dashboards. In addition, there are another sixty focused and on-point examples of everything from context filters and weighted average calculations to transparent shapes and colors with placeholder fields. Similarly, nine step-by-step dashboard guides illustrate parameters, containers, buttons, actions, and more. Many of the files can be downloaded from the author's Tableau Public profile. With over 800 diagrams and images, the clear explanations delve deeper into concepts like these:
Measures and Dimensions Discrete and Continuous Aggregation Joins, Blends, and Relationships Order of Operations Mark Types and Color, Size, Text, Detail, and Tooltips Actions with Filters, Sets, Links, Highlighting, and Parameters Reference Lines and Trend Lines Dashboard Layout, Containers, Filtering, and Interactivity
Tableau at Work is the perfect book for anyone who wants a comprehensive guide and reference to Tableau, from beginners and novices all the way to advanced and professional users. For more information, you can also visit the author website (www.TableauAtWork.com).
