![]() From the Tableau Prep Builder Start page, click Connect to Data.When you click in the wrong spot, highlighting shows you where to click. To continue, simply click the focus area. The Trailhead Simulator is designed to show a focus box on the correct click area if you click the wrong area first (see example image below). You can use the navigation controls to return to where you left off. If you close and relaunch the simulation, it restarts. It provides a simulated experience and does not store your progress. The Trailhead Simulator is not a Trailhead Playground. Then, connect individually to the files from the other regions, with each region's table added as its own input step.įor the best experience, view the Trailhead Simulator on a computer, not a mobile device. The orders from other regions come in single table files.īegin by using a wildcard union to add all the tables from the southern region in a single input step. The orders for the southern region come in different tables for each year, and the tables have similar names and structures. You have several files from different sales regions that contain data about Superstore orders. Connecting to data adds input steps to a flow. In this simulation, you create a flow by connecting to data source files. For Tableau-supported files and databases, native connectors are provided and listed on the Connections pane in Tableau Prep Builder. You can also connect to public domain data available on the web, such as the US Census Bureau information, or to a cloud database source such as Google Analytics, Amazon Redshift, or Salesforce. Your data might be stored on your computer in a spreadsheet or a text file, or a relational database, in big data storage, or a cube (multidimensional) database. Tableau supports connecting to different types of data, and that data can be available in a variety of places. Let’s start by learning about different connection options. The first step for preparing data is to create a flow by connecting to your data. Now, let’s perform these tasks in a series of Trailhead simulations. Finally, remove extra characters and change its data type to clean a data field. Next, explore the data’s structure and select which fields to include in the flow. Then use a union in the flow to combine the other regional files with the southern region data. First, combine the files for the southern region using a wildcard union during the connection process. Each of the other regions has a single data file for its orders. Superstore’s southern region uses separate data files for each year. You combine the regional data, explore the data’s structure, and then perform some cleaning operations. Before you can start analyzing the data in Tableau, you have to do some data preparation first. As you start gathering all the data you need, you notice that the order data has been collected separately for each of the four sales regions. Your manager wants you to analyze product sales and profits over the past 4 years for the company. Imagine you work as a data analyst at the headquarters for Superstore, a large retail chain. ![]()
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