Tableau prep wildcard union5/16/2023 ![]() 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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