Data Cleansing Tool

The Data Cleansing tool fixes common data quality issues using a variety of parameters.

Known limitation: dynamic workflows

The Data Cleansing tool is not dynamic. If used in a dynamic settings, such as a macro intended to work with newly generated field named, the tool will not interact with the fields, even if All options are selected. Consider replacing the Data Cleansing tool with a Multi-Field Formula Tool.

Visit the Alteryx Community Tool Mastery series to learn even more about this and other tools.

Configure the tool

Known limitation: large number handling

Numbers with more than 15 digits need to be treated as strings, or they lose their precision. Set the field type to a string using the Select Tool.

Use the following fields to determine how data quality issues are managed.

Select Fields to Cleanse: Select the fields to cleanse using the configuration options below. All options, except for Replace Nulls with 0, apply to string data types. To specify different options for different fields, use multiple Data Cleansing tools in your workflow.

Replace Nulls: To replace nulls with values other than blanks or 0, use the Imputation Tool.

  • Replace with Blanks (String Fields): A Blank registers as "" rather than [Null]. Selected by default
  • Replace with 0 (Numeric Fields): Selected by default.