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How to filter out the inaccurate results during the workflow execution
Filters enable you to clarify conditions for proceeding with the workflow execution.
If the data doesn’t match the filter the workflow execution is terminated.
It’s important to clean your output data and ensure there are no irrelevant or empty fields.
Depending on the data type, different filter conditions could be applied.
How filter looks like
The filter consists of conditions and relationships between them.
The singular rule for input data to match.
It consists of:
Data point variable, which is being filtered.
they’re different for texts/links and numbers.
Could be compared to another variable or to regular text.
We compare our input variable to it.
Could be provided manually or other data point variable.
Could be 2 types:
If two or more conditions are related to the “AND” option, it means that ALL of them should be met by input data to pass the filter.
If two or more conditions are related to the “OR” option, it means that ANY of them should be met by input data to pass the filter.
To add a new filter condition, click the “New Condition” button.
To remove the filter condition, click the “X” icon in the top right of the condition block.
The first condition can’t be removed. If you don’t need any of the filter conditions to work, just remove the filter block from the workflow itself.
As we learn all the basic elements of the workflow, let’s build one.