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Principles of Data Wrangling
Practical Techniques for Data Preparation
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Gewicht:
167 g
Format:
233x177x7 mm
Beschreibung:
Tye Rattenbury is Trifacta's lead data scientist. He holds a Ph.D. in Computer Science from UC Berkeley. Prior to Trifacta, he was a Data Scientist at Facebook and the Director of Data Science Strategy at R/GA.
A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?"