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Getting Started with Tableau 2019.2

Getting Started with Tableau 2019.2 - Second Edition

By : Tristan Guillevin
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Getting Started with Tableau 2019.2

Getting Started with Tableau 2019.2

5 (2)
By: Tristan Guillevin

Overview of this book

Tableau is one of the leading data visualization tools and is regularly updated with new functionalities and features. The latest release, Tableau 2019.2, promises new and advanced features related to visual analytics, reporting, dashboarding, and a host of other data visualization aspects. Getting Started with Tableau 2019.2 will get you up to speed with these additional functionalities. The book starts by highlighting the new functionalities of Tableau 2019.2, providing concrete examples of how to use them. However, if you're new to Tableau, you won't have to worry as the book also covers the major aspects of Tableau with relevant examples. You'll learn how to connect to data, build a data source, visualize your data, build a dashboard, and even share data online. In the concluding chapters, you'll delve into advanced techniques such as creating a cross-database join and data blending. By the end of this book, you will be able to use Tableau effectively to create quick, cost-effective, and business-efficient Business Intelligence (BI) solutions.
Table of Contents (16 chapters)
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15
Index

Simple transformations

Tableau is not a data preparation tool. It's always better to have a clean file to start with. However, Tableau offers some simple transformation tools. When you connect to a dataset, you can, for example, use the Data Interpreter, split a column into multiple columns, or pivot your data. Let's see a case for these transformations.

For this section, I created a dataset to clean in Excel, as illustrated here:

Note

If you want to reproduce the example, you can download the Dataset to clean file from my website, https://tableau2019.ladataviz.com, as discussed in Chapter 4: Connecting to Data and Simple Transformation section, or use this direct link: https://ladataviz.com/wp-content/uploads/2018/09/Data-duplication-example.xlsx.

Three things are problematic with this dataset:

  • There is a column header for the years
  • The countries and the cities are in the same column
  • Each year is in a different column, preventing the creation of a simple line chart

Now, let's fix...

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