Use wildcard search to instantly pivot fields based on a pattern match (Tableau Prep Builder version 2019.1.1 and later and on the web). Use one of the following options when pivoting your data: In this type of scenario, to analyze this data as separate measures you would need to pivot that row data to columns.īut what about pivoting larger data sets or data that changes frequently over time? You can use a wildcard pattern match to search for fields that match the pattern and automatically pivot the data. For example a sales department that tracks advertising spend in two columns, one called Advertising that contains rows for radio, television and print and one column for total spent. However you may also have scenarios where your data tables are tall and narrow and are too normalized to properly analyze. Tableau prefers data to be "tall" instead of "wide", which means that you often have to pivot your data from columns to rows so that Tableau can evaluate it properly. Sometimes analyzing data from a spreadsheet or crosstab format can be difficult in Tableau. For more information about authoring flows on the web, see Tableau Prep on the Web in the Tableau Server (Link opens in a new window) and Tableau Cloud (Link opens in a new window) help. The content in this topic applies to all platforms, unless specifically noted. Note: Starting in version 2020.4.1, you can now create and edit flows in Tableau Server and Tableau Cloud.
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