@@ -105,24 +105,17 @@ The first result dataset contains all rows where the index column begins with on
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2 . For ** Splitting mode** , select ** relative expression split** .
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- 3 . In the ** Relational expression** text box, type an expression that performs a comparison operation, on a single column:
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- - Numeric column:
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- - The column contains numbers of any numeric data type, including date/time data types.
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- - The expression can reference a maximum of one column name.
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- - Use the ampersand character (&) for the AND operation and use the pipe character (|) for the OR operation.
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- - The following operators are supported: ` < ` , ` > ` , ` <= ` , ` >= ` , ` == ` , ` != `
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- - You cannot group operations by using ` ( ` and ` ) ` .
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- - String column:
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- - The following operators are supported: ` == ` , ` != `
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-
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+ 3 . In the ** Relational expression** text box, type an expression that performs a comparison operation on a single column:
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+
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+ For the ** Numeric column** :
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+ - The column contains numbers of any numeric data type, including date and time data types.
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+ - The expression can reference a maximum of one column name.
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+ - Use the ampersand character ` & ` for the AND operation. Use the pipe character ` | ` for the OR operation.
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+ - The following operators are supported: ` < ` , ` > ` , ` <= ` , ` >= ` , ` == ` , ` != ` .
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+ - You cannot group operations by using ` ( ` and ` ) ` .
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+
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+ For the ** String column** :
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+ - The following operators are supported: ` == ` , ` != ` .
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4 . Run the pipeline.
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@@ -157,4 +150,4 @@ The following expression demonstrates how you can use the column index to select
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## Next steps
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- See the [ set of modules available] ( module-reference.md ) to Azure Machine Learning.
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+ See the [ set of modules available] ( module-reference.md ) to Azure Machine Learning.
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