Dataset Transformation

This window allows you to transform the data source information. This complete grid displays the Table like structure, which helps you to make the data better using many methods, such as by remove all the missing values, performing scaling and so on.

This window shows the following columns:

• Physical Name: Shows the Physical Name of column.
• Feature Name: Shows the Feature Name of column along with its data type. You can edit the Feature Name.
• Observations: The Observations field shows the value of column. For example, if any column is missing any value, you can easily identify missing value columns. Use Transformation button to fix these values.
• Create Feature: To create a new feature/column by doing operations on the existing features.
• Calculate Fairness: You can calculate the fairness metrics of the dataset by choosing the required metric, target variable, and protected features. For more details, see Fairness section. Click Help icon for more details on how the fairness is calculated.
• View Report: To view the complete report of the sampled data.
• Re-Validate: To re validate all the transformations.

  You can also revalidate an individual transformation by clicking the More Action and select the Re-Validate option

• Add Transformation: To add new transformations

The profile button helps you to view profile the final data frame that you have selected. For more information, see the Viewing Profile section.

Here, you can perform the following actions:

• Re-ordering of transformations
• Insertion of transformation