Work with project tools¶
Data Prep provides many tools to help you clean, shape, combine, and ultimately prep your data. Access these tools in the project Tools bar:
These pages describe the project tools:
Topic | Describes... |
---|---|
Edit steps | View, edit, add, rearrange, and delete steps within a project. |
Manage project versions | Review the version histories of a project. |
Highlight data | Highlight patterns, spaces, and numeric ranges, then use column operations to update values. |
Attach datasets | Perform lookup, join, and append operations on your dataset. |
Update columns | Edit the column names, their order, and their availability in a project. |
Compute columns | Compute columns using functions to create a new column. |
Group with windows | Group rows to perform aggregations, shifting, and ranking. |
Remove rows | Remove rows that don't meet your needs. |
Sample data | Sample project data. |
Shape data | Use data shaping tools to deduplicate, group, transpose, and pivot data. |
Autonumber rows | Generate a new column that autonumbers the rows of your dataset. |
Make predictions | Learn how to score your data using the predict tool. |
Transform your data with Spark SQL | Perform data transformations using Spark SQL. |
Create a DataRobot project from a DR lens | Use the Data Prep Build tool to create a DataRobot machine learning project from a Data Prep DR lens. |
Use lenses to select steps for publishing | Identify steps to be published to AnswerSets using lenses. |
Updated April 12, 2022
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