![]() You can prepare your data for analysis in the data source page by:Ĭleaning your data using the Data Interpreter Metadata grid: The button takes you to the metadata grid, which displays the fields in your data source as rows so you can look at its structure. For relational-based data, the left pane might display the server, the database or schema, and the tables in the database.Ĭanvas: When connected to most relational and file-based data, you can drag one or more tables to the canvas area to set up your Tableau data source for analysis.ĭata grid: You can use the data grid to review the fields and the first 1,000 rows of the data contained in the Tableau data source. For file-based data, the left pane might display the file name and the worksheets in the file. Left pane: Displays details about your data. There are four areas of the data source page: Step 3: Prepare your dataĪfter you have connected to data, use the data source page to prepare your data for analysis. If Catalog doesn't support the connection, New Workbook doesn't appear. When you have Data Management with Tableau Catalog enabled, you can create a new workbook when you're making a Catalog-supported connection from the External Assets page: Tableau Catalog users create workbooks from external assets To learn more about connecting to data on the web, see Creators: Connect to Data on the Web. On Tableau Cloud, quickly author and analyze data from LinkedIn Sales Navigator, Oracle Eloqua, Salesforce, ServiceNow ITSM, and Marketo from the Dashboard Starters tab. ![]()
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