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Data Wrangler simplifies the data preparation and feature engineering process, reducing the time it takes from weeks to minutes by providing a single visual interface for data scientists to select and cleandata, create features, and automate data preparation in ML workflows without writing any code.
It can be gradually “enriched” so the typical hierarchy of data is thus: Raw data ↓ Cleaneddata ↓ Analysis-ready data ↓ Decision-ready data ↓ Decisions. For example, vector maps of roads of an area coming from different sources is the raw data.
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