Home Data Prep for Data Science, AI and ML

Paxata Community Members: Something special in a community experience is coming your way. Stay tuned to this space.
In the meantime, check out the brand new Data Prep for Data Science topic here and the new DataRobot Community.

Visit the official Paxata Documentation portal for all of your doc needs.

Selecting only the variables that matter for your model

MelanieMelanie Posts: 70 admin
When you need to prepare your dataset's Features for optimal Feature Engineering, Paxata's Column management tools are essential to your prep work. In Paxata, your variables are represented by columns and your two tools for managing columns are the Columns tool and the Hide columns tool. 

Columns tool: used to remove, reorder or rename any variable's column.

The Columns tool displays all of your variables' columns and their types. Removing a column is as simple as removing the checkbox adjacent to the column's name. Reordering is as easy as dragging a column to a new order location. And editing a column's name is as easy as clicking the name and entering a new one. 

But there's a lot more transformative power you can wield with this tool--like bulk renaming. See the official Columns tool docs for details.

Hide columns tool: used to simply hide, but not remove, columns from your dataset. For example, if you share a dataset with someone else and you want to create a personal view of the data that hides all of the columns other than the ones you are working with, then this is the right tool for you. For a deep dive on using this tool, see Hide columns.

Sign In or Register to comment.