edit 2

Author: rmca14

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

@@ -20,6 +20,68 @@ Use this component to concatenate two datasets. You combine all columns from the
 
 
 
+## How to configure 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.
+
+### Results
+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.
+
+## 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**.
+
+
+
+## How to configure 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.
+
+### Results
+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.
+
+## 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**.
+
+
+
 ## How to configure Add Columns
 1. Add the **Add Columns** component to your pipeline.