How to Add a New Column in Power BI
Adding a new column in Power BI is a simple process that allows for the creation of customized calculations or transformations based on existing data. Here’s how you can do it:
- Open your Power BI Desktop application and load the desired dataset.
- In the “Fields” pane on the right-hand side, locate the table where you want to add the new column.
- Right-click on the table name and select “Edit Queries.”
- The Power Query Editor window will open, displaying the existing columns and data transformations.
- Click on the “Add Column” tab in the Power Query Editor toolbar.
- Choose the type of column you want to add. There are several options available, including:
- Custom Column: Allows you to create a new column based on a formula or expression. For example, you can concatenate two text columns using the formula “=[Column1] & [Column2].”
- Duplicate Column: Creates an exact copy of an existing column.
- Column from Examples: Enables you to generate a new column by providing example values for the first few rows.
- Conditional Column: Helps you create a new column based on specified conditions. For instance, you can create a column that assigns a “High” or “Low” rating based on a numerical value.
- Once you’ve selected the desired type, follow the prompts to configure the column settings and formula.
- Click “OK” to add the new column.
- Review the changes made in the Power Query Editor and click “Close & Apply” to apply the changes to your Power BI report.
- The new column will now be available for use in visualizations or further data analysis within Power BI.
Example:
Let’s say you have a dataset containing information about sales transactions. You want to add a new column to calculate the total revenue per transaction. Follow the steps mentioned above and select the “Custom Column” type. Use the formula “=[Quantity] * [Price]” to multiply the quantity and price columns. After clicking “OK” and applying the changes, you will have a new column representing the total revenue for each transaction.