Principles of Data Wrangling PDF
By:Tye Rattenbury,Joseph M. Hellerstein,Jeffrey Heer,Sean Kandel,Connor Carreras
Published on 2017-06-29 by |O'Reilly Media, Inc.|
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?| Wrangling data consumes roughly 50-80% of an analyst’s time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors—time, granularity, scope, and structure—that you need to consider as you begin to work with data. You’ll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today’s data-driven organizations. Appreciate the importance—and the satisfaction—of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis
This Book was ranked at 22 by Google Books for keyword Allemand.
Book ID of Principles of Data Wrangling's Books is CkMqDwAAQBAJ, Book which was written byTye Rattenbury,Joseph M. Hellerstein,Jeffrey Heer,Sean Kandel,Connor Carrerashave ETAG "7Bp1+ChpWyI"
Book which was published by |O'Reilly Media, Inc.| since 2017-06-29 have ISBNs, ISBN 13 Code is 9781491938874 and ISBN 10 Code is 1491938870
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