Overview
Cloud Dataprep is Google's self-service data preparation tool built in collaboration with Alteryx. In this lab, you will build upon a flow built in the Preparing and Aggregating Data for Visualizations Using Cloud Dataprep lab, and learn some more advanced techniques for preparing data with Dataprep.
Use case scenario:
Mount Rainier is one of the tallest active volcanoes in North America. Despite its high probability of eruption, every year thousands of people brave the elements to scale this 14,411 ft (4,392 m) peak. Using information collected from the National Park Services and National Oceanic and Atmospheric Administration (NOAA), you will take a look at how the weather affects the climbers on their expeditions.
What you'll learn
In this lab, you will learn how to:
Import flows into Dataprep
Swap data sources
Use advanced recipe controls
Duplicate rows
Create and use macros
Standardize values
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