Actions on preparation columns
In a column header, click the menu icon next to the column name to display the available options.
The table below describes the different actions that you can perform on columns.
| Action | Description |
|---|---|
| This column is a... | Allows you to change a column data type, if the value is not the desired one. |
| Create column | Creates a new column to include additional data in your dataset if needed. Specify a name and how to fill the content of the new column, either by copying an existing column, generating a sequence of integers, or leaving it blank. |
| Delete column | Allows you to remove unnecessary columns. |
| Duplicate column | Creates a copy of a given column. |
| Rename column | You can rename a column with a meaningful name if you want to
identify them more easily. It is also possible to rename a column by double clicking its name. |
| Display rows with valid values Display rows with invalid values Display rows with empty values Display rows with invalid or empty values |
Allows you to directly apply a filter on a certain category of data for a given column, even if there is no matching value in the sample. This can be useful when working on a large dataset for example. |