Tableau Introduction


Tableau was created to allow anyone, regardless of technical skill level, to evaluate their data. VizQL, a unique visual query language that translates mouse inputs like drag-and-drop into database queries, is at the heart of Tableau. This enables the user to quickly uncover insights from their data and share the findings with others.

It’s also important to note that you don’t need to know what you’re looking for or how you want to convey your findings. Tableau, on the other hand, allows you to immerse yourself in data. You’ll be able to uncover patterns and relationships in your data that you weren’t aware of using visual analysis. Tableau differs from other tools in this aspect, this frequently necessitates knowing ahead of time how you want to present your facts.

The goal of this chapter is to expose you to the Tableau application suite’s several products, the Tableau user interface, and how Tableau processes your data. We’ll also go over the sample dataset that will be used throughout the book and give you a taste of what Tableau has to offer when it comes to producing data visualizations.

  • Install Tableau on your PC by the conclusion of this chapter.
  • Determine which data is suitable for analysis.
  • Create your first Tableau data visualization.



The most common first step with Tableau is to connect to a dataset. Simple files, databases, data cubes, data warehouses, Hadoop clusters, and even cloud services like Google Analytics can all provide data. Then you use the Tableau interface to graphically query your data and present the results in a variety of charts and maps. The separate charts can then be grouped together on a dashboard to put them in perspective.

Finally, depending on the software, there are several ways to share the results with others, including sending individual workbooks, embedding interactive dashboards, and sharing them on social media. Tableau provides tools such as the development and sharing of explanatory diagrams, data stories, and interactive dashboards to assist you with both analysis and communication of results.

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