Which Tool can be Used to Remove Columns in Alteryx

Sanjay
6 Min Read

In this article we share the answer of few important queries regarding alteryx tools such as Which tool can be used to remove columns in alteryx, how to remove column with null values in alteryx, etc.

How to remove column in alteryx?

In Alteryx, the “Select” tool is used to remove or exclude columns from a dataset. It allows you to select specific columns that you want to keep and discard the rest. Here’s how you can use the “Select” tool to remove columns in Alteryx:

1. Input Data: Start by bringing in the dataset from which you want to remove columns. This can be an Excel file, CSV file, or any other data source. Use the “Input Data” tool in Alteryx to connect to your data source.

2. Use the “Select” Tool: Drag and drop the “Select” tool from the Alteryx tool palette onto your workflow canvas. Connect the “Select” tool to the input data source.

3. Configure the “Select” Tool: Open the configuration window of the “Select” tool by double-clicking on it. You’ll see a list of all the columns present in your dataset.

4. Select Columns to Keep: In the “Fields” section of the “Select” tool configuration, select the columns that you want to keep in your dataset.

You can either manually check the checkboxes next to the column names or use the “Select All” option and then uncheck the columns you want to remove.

5. Remove Unselected Columns: To remove the unselected columns, check the “Remove Unselected Fields” option in the “Select” tool configuration.

6. Review Selection and Apply: Double-check the list of selected columns to ensure that you have chosen the correct ones for your analysis. Once you are satisfied with the selection, click the “OK” or “Apply” button to save the configuration.

7. Run the Workflow: Run the Alteryx workflow to execute the “Select” tool and remove the specified columns from the dataset. The output will be a new dataset that includes only the selected columns.

8. Output the Modified Dataset: Finally, use the “Output Data” tool in Alteryx to save the modified dataset, which now contains the removed columns, to a file or database.

By following these steps and using the “Select” tool in Alteryx, you can easily remove unwanted columns from your dataset, streamlining it for further analysis or reporting.

Also Read: How to Concatenate in Alteryx | Data Concatenate

How do I remove columns with null values in Alteryx?

To remove columns with null values in Alteryx, you can use the “Filter” tool to filter out the columns that contain null values. Here’s how you can do it:

  • Drag and drop a “Filter” tool onto your Alteryx workflow canvas.
  • Connect the incoming data to the Filter tool.
  • Double-click on the Filter tool to open its configuration window.
  • In the configuration window, you’ll see a table that displays all the columns from your input data.
  • For each column, click on the drop-down menu in the “Operation” column and select “Is Null”.
  • Make sure the logical operator is set to “Or” at the top of the configuration window. This ensures that any column containing a null value will be filtered out.
  • Click the “OK” button to close the Filter tool’s configuration window.
  • Run your workflow to apply the removal of columns with null values.

The output of the Filter tool will exclude any columns that contain null values. Only the columns that do not have null values will remain in the data stream.

Also Read: What Is Alteryx | Uses of Alteryx – Full Details

How do I delete unwanted rows in Alteryx?

To delete unwanted rows in Alteryx, you can use the “Filter” tool to apply a condition that specifies which rows to keep or remove. Here’s how you can do it:

  • Drag and drop a “Filter” tool onto your Alteryx workflow canvas.
  • Connect the incoming data to the Filter tool.
  • Double-click on the Filter tool to open its configuration window.
  • In the configuration window, you’ll see a text box where you can enter your filtering condition.
  • Specify the condition that determines which rows you want to delete. The condition should evaluate to “False” for the unwanted rows. For example, if you want to delete rows where the “Quantity” field is less than 10, the condition would be:
  • [Quantity] < 10
  • Replace [Quantity] with the appropriate field name and adjust the condition based on your specific criteria.
  • Select the “Keep Records Where” option in the Filter tool’s configuration window.
  • Click the “OK” button to close the Filter tool’s configuration window.
  • Run your workflow to apply the deletion of unwanted rows.

The output of the Filter tool will only include the rows that satisfy the specified condition. Unwanted rows that do not meet the condition will be removed from the data stream.

Also Read: Data Cleansing Tool: Streamline and Optimize Data Quality with Alteryx

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