
Learning Tableau
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Tableau connects to data stored in a wide variety of files and databases. This includes flat files such as Excel and text files, relational databases such as SQL Server and Oracle, cloud-based data sources such as Google Analytics and Amazon Redshift, and OLAP data sources such as Microsoft SQL Server Analysis Services. With very few exceptions, the process of building visualizations and performing analysis will be the same no matter what data source you use. We'll cover the details of connecting to different data sources in later chapters.
For now, we will connect to an Access data source included in the resources supplied with this book. This chapter's workbook includes a connection to the data source, but we will walk through the steps of connecting using a new workbook first:
Learning Tableau\Data
directory and open Coffee Chain.mdb
.You should now be in the main work area of Tableau, which looks like this:
Locate the numbered features of the main workspace. We'll refer to these features throughout the book, so familiarize yourself with the terminology:
Observe the distinction between fields that are in the Data window and fields that are in the view. Fields listed in the Data window are available to add to a view. Fields that you have dropped onto shelves or the canvas are in the view or active fields.
Having created your connection to the data, you are ready to begin to visualize and analyze the data. Over the course of the following examples, you'll take on the role of an analyst for the coffee chain. We'll build multiple visualizations that answer various questions and finally put everything together in an interactive dashboard. As we begin, let's consider a few of the foundational principles.