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Learning Tableau 10

Learning Tableau 10 - Second Edition

By : Joshua N. Milligan
4.2 (10)
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Learning Tableau 10

Learning Tableau 10

4.2 (10)
By: Joshua N. Milligan

Overview of this book

Tableau has for some time been one of the most popular Business Intelligence and data visualization tools available. Why? Because, quite simply, it’s a tool that’s responsive to the needs of modern businesses. But it’s most effective when you know how to get what you want from it – it might make your business intelligent, but it isn’t going to make you intelligent… We’ll make sure you’re well prepared to take full advantage of Tableau 10’s new features. Whether you’re an experienced data analyst that wants to explore 2016’s new Tableau, or you’re a beginner that wants to expand their skillset and bring a more professional and sharper approach to their organization, we’ve got you covered. Beginning with the fundamentals, such as data preparation, you’ll soon learn how to build and customize your own data visualizations and dashboards, essential for high-level visibility and effective data storytelling. You’ll also find out how to so trend analysis and forecasting using clustering and distribution models to inform your analytics. But it’s not just about you – when it comes to data it’s all about availability and access. That’s why we’ll show you how to share your Tableau visualizations. It’s only once insights are shared and communicated that you – and your organization – will start making smarter and informed decisions. And really, that’s exactly what this guide is for.
Table of Contents (12 chapters)
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8
8. Deeper Analysis – Trends, Clustering, Distributions, and Forecasting

Techniques for 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 some 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 time to understand how the proposed solutions build on the foundational principles we've considered in previous chapters and how you can use similar techniques to solve your data issues.

Restructuring data in Tableau connections

The Excel workbook World Population Data.xlsx...

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Learning Tableau 10
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