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          Filter Node

          Filter Node

          Use a Filter node to remove rows that you don’t need in your target. For example, you can filter case records to focus on escalated cases only. Filter values are case-sensitive.

          1. In a batch data transform that already has at least one Input node, select the Add Node buttonAdd Node button between two nodes or at the end of the batch data transform. To show the Add Node button between two nodes, hover the cursor on the connecting line.
          2. In the Add Node dialog box, select Filter.
          3. Click the + to add a standard filter. A standard filter uses conventional filter operators—equals, does not equal, less than, and so on. For more granularity in your filter options, such as access to string and math functions, select Add Custom Filter Expression from the dropdown next to Filters. Filter values for both options are case-sensitive.
            1. To apply an aggregate function to currency values, set a currency. If you don't specify a currency, the node uses the currency from the first row of data.
          4. Note
            Note Column search results display up to 2000 values.
            If you define a filter condition on a dimension column, you can select a filter value from a list of values in your data. Then, click Add new value and enter the value.
            Highlight Add new value function for filter condition
          5. Click Apply.
          6. To display the current standard filter logic click Actions button and Add Standard Filter Logic.
            The Add Filter Logic option available after selecting the down arrow on the filter node.
            The default AND logic is shown, and each filter component is assigned a number.
          7. To edit the logic, click the pencil icon (Edit logic button.).
            The Filter node has a pencil icon selectable next to the displayed filter logic.
          8. Build the filter logic with parenthesis and the AND, OR, and NOT Boolean operators.
            Add boolean operators to the filter logic.
          9. Click Apply.
          10. Save the data transform.
           
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