Doing scaling, encoding, and missing value handling from yesterday's lessons in pandas every time is tedious and makes transformation sequences hard to reproduce. SageMaker Data Wrangler bundles this entire flow into a visual interface. Load data, see distribution visually, stack transformations by clicking, and export to the training pipeline—all on one screen.
In the MLA-C01 exam, Data Wrangler often appears as the answer to scenarios needing "fast visual exploratory analysis and transformation." Today we cover four stages: connecting data sources, transforming, analyzing, and exporting.
Data Wrangler is a data preparation tool running inside SageMaker Studio. The core concept is flow