For more information about applying cleaning operations in the Input step, see Apply cleaning operations in an input step (Link opens in a new window). You can apply limited cleaning operations in the Input step and can't apply cleaning operations in the output step. You can also perform cleaning operations in the data grid in a cleaning step. You can perform cleaning operations in most step types in your flow. You clean data by applying cleaning operations such as filtering, adding, renaming, splitting, grouping, or removing fields.
For more information, see Pivot Your Data (Link opens in a new window) or Use R and Python scripts in your flow (Link opens in a new window). Script steps are not supported in Tableau Online. You can also clean your data using a pivot step or a script step to apply R or Python scripts to your flow. Cleaning up dirty data makes it easier to combine and analyze your data or makes it easier for others to understand your data when sharing your data sets. Tableau Prep provides various cleaning operations that you can use out of the box to clean and shape your data. For more information about authoring flows on the web, see Tableau Prep on the Web. 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 Online.
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