Transformation Conditions

Learn the different conditional statements used when building Transformations in Tables or Datasets.

Greg Olsen avatar
Written by Greg Olsen
Updated over a week ago

When building a Transformation for either a Table or a Dataset, you are often required to select a condition as part of the trigger statement for your transformation. These conditions are key operators in building a successful Transformation.

Below is a list of the conditions that can be applied to most Transformation, as well as a description of how that condition will impact your Transformation.

Is any of

Determines if the value of the cell matches any of the text or numerical or date values you enter.

Is not any of

Determines if the value of the cell does not match any of the text or numerical values you enter.

Is between

Determines if the value in the cell falls within a given range (available for numerical values only).

Is outside of

Determines if the value in the cell falls outside a given range (available for numerical values only).

Is greater than or equal to

Determines if the value in a cell is greater than or equal to a set value (available for numerical values only).

Is less than

Determines if the value in a cell is less than a set value (available for numerical values only).

Starts with 

Determines if the text in the cell starts with the text indicated (available for text values only).

Ends with

Determines if the text in the cell ends with the text indicated (available for text values only).

Contains

Determines if the text in the cell contains the text indicated (available for text values only).

Is blank

Determines if the cell is blank.

Is True

Determines if the value in the cell is True(available for True/False data types only).

Is False

Determines if the value in the cell is False (available for True/False data types only).  

RegEx

Allows for a custom RegEx text string to search the values contained in the cell (available for text values only).

Did this answer your question?