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portada Principles of Data Wrangling: Practical Techniques for Data Preparation
Type
Physical Book
Publisher
Year
2017
Language
English
Pages
94
Format
Paperback
Dimensions
23.3 x 17.8 x 0.5 cm
Weight
0.16 kg.
ISBN13
9781491938928
Edition No.
1

Principles of Data Wrangling: Practical Techniques for Data Preparation

Tye Rattenbury (Author) · Joseph M. Hellerstein (Author) · Jeffrey Heer (Author) · O'Reilly Media · Paperback

Principles of Data Wrangling: Practical Techniques for Data Preparation - Rattenbury, Tye ; Hellerstein, Joseph M. ; Heer, Jeffrey

New Book Imported to South Africa
Delivery: 27 Jul - 20 Aug Shipping: 12 to 14 business days.
R 536
R 536

Synopsis "Principles of Data Wrangling: Practical Techniques for Data Preparation "

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 availableChoose which data to use and at what level of detailMeaningfully combine multiple sources of dataDecide how to distill the results to a size and shape that can drive downstream analysis

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