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Author: rmca14

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

@@ -18,8 +18,6 @@ This article describes a component in Azure Machine Learning designer. test edit
 
 Use this component to concatenate two datasets. You combine all columns from the two datasets that you specify as inputs to create a single dataset. If you need to concatenate more than two datasets, use several instances of **Add Columns**.
 
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 ## How to configure Add Columns
 1. Add the **Add Columns** component to your pipeline.
 
@@ -42,64 +40,8 @@ If there are two columns with the same name in the input datasets, a numeric suf
 
 ## Next steps
 
-See the [set of components available](component-reference.md) to Azure Machine Learning. 
-
-
-This article describes a component in Azure Machine Learning designer. test edit
-
-Use this component to concatenate two datasets. You combine all columns from the two datasets that you specify as inputs to create a single dataset. If you need to concatenate more than two datasets, use several instances of **Add Columns**.
-
-
-
-
-1. Add the **Add Columns** component to your pipeline.
-
-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**.
-
-    - It is possible to combine two columns that have a different number of rows. The output dataset is padded with missing values for each row in the smaller source column.
-
-    - You cannot choose individual columns to add. All the columns from each dataset are concatenated when you use **Add Columns**. Therefore, if you want to add only a subset of the columns, use Select Columns in Dataset to create a dataset with the columns you want.
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-3. Submit the pipeline.
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-
-After the pipeline has run:
-
-- 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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-The number of columns in the new dataset equals the sum of the columns of both input datasets.
-
-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.
-
-
-
-See the [set of components available](component-reference.md) to Azure Machine Learning. 
-
+See the [set of components available](component-reference.md) to Azure Machine Learning.
 
 This article describes a component in Azure Machine Learning designer. test edit
 
 Use this component to concatenate two datasets. You combine all columns from the two datasets that you specify as inputs to create a single dataset. If you need to concatenate more than two datasets, use several instances of **Add Columns**.
-
-
-
-
-1. Add the **Add Columns** component to your pipeline.
-
-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**.
-
-    - It is possible to combine two columns that have a different number of rows. The output dataset is padded with missing values for each row in the smaller source column.
-
-    - You cannot choose individual columns to add. All the columns from each dataset are concatenated when you use **Add Columns**. Therefore, if you want to add only a subset of the columns, use Select Columns in Dataset to create a dataset with the columns you want.
-
-3. Submit the pipeline.
-
-
-After the pipeline has run:
-
-- 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.
-
-The number of columns in the new dataset equals the sum of the columns of both input datasets.
-
-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.
-
-See the [set of components available](component-reference.md) to Azure Machine Learning.