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articles/machine-learning/algorithm-module-reference/split-data.md

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@@ -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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3. In the **Relational expression** text box, type an expression that performs a comparison operation on a single column:
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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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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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