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Principles of Data Wrangling: Practical Techniques for Data Preparation by Jeffrey Heer, Joseph M. Hellerstein, Sean Kandel, Connor Carreras, Tye Rattenbury (Paperback, 2017)

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Product Information

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

Product Identifiers

PublisherO'reilly Media, Inc, USA

ISBN-139781491938928

eBay Product ID (ePID)18046364386

Product Key Features

Publication Year2017

SubjectComputer Science

Number of Pages94 Pages

LanguageEnglish

Publication NamePrinciples of Data Wrangling: Practical Techniques for Data Preparation

TypeTextbook

AuthorJeffrey Heer, Joseph M. Hellerstein, Sean Kandel, Connor Carreras, Tye Rattenbury

FormatPaperback

Dimensions

Item Height233 mm

Item Width178 mm

Additional Product Features

Country/Region of ManufactureUnited States

Title_AuthorSean Kandel, Joseph M. Hellerstein, Connor Carreras, Tye Rattenbury, Jeffrey Heer