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articles/machine-learning/component-reference/add-columns.md

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## How to configure Add Columns
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1. Add the **Add Columns** component to your pipeline.
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2. Connect the two datasets that you want to concatenate. If you want to combine more than two datasets, you can chain together several combinations of **Add Columns**.
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3. Submit the pipeline.
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### Results
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After the pipeline has run:
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- To see the first rows of the new dataset, right-click the **Add Columns** component and select Visualize. Or Select the component and switch to the **Outputs** tab in the right panel, click on the histogram icon in the **Port outputs** to visualize the result.
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If there are two columns with the same name in the input datasets, a numeric suffix is added to the name of the column. For example, if there are two instances of a column named TargetOutcome, the left column would be renamed TargetOutcome_1 and the right column would be renamed TargetOutcome_2.
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## Next steps
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See the [set of components available](component-reference.md) to Azure Machine Learning.
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## How to configure Add Columns
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1. Add the **Add Columns** component to your pipeline.
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2. Connect the two datasets that you want to concatenate. If you want to combine more than two datasets, you can chain together several combinations of **Add Columns**.
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3. Submit the pipeline.
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### Results
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After the pipeline has run:
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- To see the first rows of the new dataset, right-click the **Add Columns** component and select Visualize. Or Select the component and switch to the **Outputs** tab in the right panel, click on the histogram icon in the **Port outputs** to visualize the result.
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If there are two columns with the same name in the input datasets, a numeric suffix is added to the name of the column. For example, if there are two instances of a column named TargetOutcome, the left column would be renamed TargetOutcome_1 and the right column would be renamed TargetOutcome_2.
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## Next steps
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See the [set of components available](component-reference.md) to Azure Machine Learning.

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