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Principles of Data Wrangling: Practical Techniques for Data Preparation

Amazon.com Price:  $21.19 (as of 12/05/2019 20:02 PST- Details)

Description

A key task that any aspiring data-driven organization needs to be informed is data wrangling, the process of converting raw data into something in point of fact useful. This practical guide provides business analysts with an overview of quite a lot of 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 more or less 50-80% of an analyst’s time before any more or less analysis is imaginable. 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 wish to have to imagine as you begin to work with data. You’ll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on up to date 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 sort of data is available
  • Choose which data to use and at what level of detail
  • Meaningfully combine more than one sources of data
  • Decide how to distill the results to a size and shape that can drive downstream analysis
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