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Learning Tableau 2019

Learning Tableau 2019

By : Joshua N. Milligan
4.6 (7)
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Learning Tableau 2019

Learning Tableau 2019

4.6 (7)
By: Joshua N. Milligan

Overview of this book

Tableau is the gold standard of business intelligence and visual analytics tools in every industry. It enables rapid data visualization and interpretation with charts, graphs, dashboards, and much more. Updated with the latest features of Tableau, this book takes you from the foundations of the Tableau 2019 paradigm through to advanced topics. This third edition of the bestselling guide by Tableau Zen Master, Joshua Milligan, will help you come to grips with updated features, such as set actions and transparent views. Beginning with installation, you'll create your first visualizations with Tableau and then explore practical examples and advanced techniques. You'll create bar charts, tree maps, scatterplots, time series, and a variety of other visualizations. Next, you'll discover techniques to overcome challenges presented by data structure and quality and engage in effective data storytelling and decision making with business critical information. Finally, you'll be introduced to Tableau Prep, and learn how to use it to integrate and shape data for analysis. By the end of this book, you will be equipped to leverage the powerful features of Tableau 2019 for decision making.
Table of Contents (18 chapters)
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1
Section 1: Tableau Foundations
5
Section 2: Leveraging the Full Power of Tableau
10
Digging Deeper - Trends, Clustering, Distributions, and Forecasting
11
Section 3: Data Prep and Structuring
14
Section 4: Advanced Techniques and Sharing with Others

Dealing with data structure issues

In some cases, restructuring data at the source is not an option. The source may be secured and read-only, or you might not even have access to the original data and instead receive periodic dumps of data in a specific format. In such cases, there are techniques for dealing with structural issues once you have connected to the data in Tableau.

We'll consider some examples of data structure issues to demonstrate various techniques for handling those issues in Tableau. None of the solutions are the only right way to resolve the given issue. Often, there are several approaches that might work. Additionally, these are only examples of issues you might encounter. Take some time to understand how the proposed solutions build on the foundational principals we've considered in previous chapters and how you can use similar techniques to solve...

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