Overview

What is it like to learn Tableau on the job? This is my story of how I survived the challenges, became a data fam, and garnered praise from my business partners with every project I delivered. This book is a real-world perspective on learning to live with Tableau and loving it. If you are like I was, you might be asking yourself questions such as: Where do I start with Tableau? What business questions can my charts answer, and how do I create different types of charts? How do I prepare and connect to data files that are constantly changing? Or 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? How do I help transition my business partners from Excel to Tableau and teach them how to harness Tableau to find insights and new opportunities? This book includes over fifty chart examples with guides to create forty chart types at a glance. In addition, there are over sixty detailed examples of everything from context filters and weighted average calculations to transparent shapes and colors with placeholder fields. Similarly, the dashboard chapter has nine step-by-step dashboards illustrating parameters, containers, buttons, actions, and more. You can download many of the files from my Tableau Public profile. Creating the more complex charts may involve ten to fifteen steps, so each example includes many screenshots so you can easily follow along. 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 skills are not limited to developers. As a data ambassador, I regularly work with my business partners to explore their data. Our partnership means we can uncover new insights and quickly answer questions in real-time. Data analytics skills are the new email; we must climb this mountain to succeed in the future. Join me on this fascinating journey to #datafam independence.

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