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      A (DMATH)
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      Contents

      A (DMATH)

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      Article summary

      DMath: A

      Creates a  decimal copy of Field A

      Purpose

      Use this function to:
      • Turn an integer field into a decimal
      • Create a copy of an existing numeric field
      • Create a filtered copy of an existing field
      • Create a copy of an existing field where null values are mapped to zero

      Return Value

      PropertyValue
      FieldTypeDouble
      FieldSizeMed - Up to 65,630 unique values
      High  - up to 1,000,000 unique values
      Continuous - greater than 1,000,000 unique values
      DataTypeDiscrete / Continuous
      DataSizeShort / Integer /  Double
      Example Return Value: X*.XXXXXX....-X*.XXXXX

e.g.  21.000000, 98754654.123456, -5.000000, -654.320000

      Parameters

      ParameterJSONDescription
      Table“targetTable”: “MyTableName”The target table on which the new field will be created
      Filter“dataset”: {DataSet_JSON}Optional.   If a filter is applied, records not in the filter recordset will be returned as null.
      Note: Records not in the filter will still be treated as null, even if [Treat Null as Zero] is true.
      Math Function“p1”: “”
      A“p2”: “NumericFieldName”
      “p2”: “#N*.N*”      		Required. 
      Supports:  
      • DataType: Discrete / Continuous
      • Field Type: Integer, Double
      • Fixed Value:  #N*    e.g. #201596,    #-87
      • Fixed Value: #N*.N* e.g. #201596.05,    #-87.98
      Treat Null as Zero"nullIsZero": true
      "nullIsZero": false

      		True/False.
      Default = False
      If true, then any null values in the input fields will be treated as if they have a value of 0.

      JSON Sample


      Usage Notes

      See Also:   

      Example

      ExampleDetails
      DescriptionCreate total spend for females, where null is mapped to 0
      Input
      • Table: = [customer]
      • Filter:= [Gender=f]
      • Function: = DateTransform
      • Math Function = A
      • A:= [customer ].[total_spend]
      • Treat Null as Zero: = true
      • Name: = Total_Spend_Female
      Sample




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