Data Manipulation

This section provides examples of common tasks performed when preparing data for machine learning. These examples are run on a local cluster.

Note: The examples in this section include datasets that are pulled from GitHub and S3.

• Uploading a File
• Importing a File
• Importing Multiple Files
• Downloading data
• Changing the Column Type
• Combining Columns from Two Datasets
• Combining Rows from Two Datasets
• Fill NAs
• Group By
• Imputing Data
• Merging Two Datasets
• Pivoting Tables
• Replacing Values in a Frame
• Slicing Columns
• Slicing Rows
• Sorting Columns
• Splitting Datasets into Training/Testing/Validating
• Target Encoding
• Tokenize Strings