Principles of data wrangling : practical techniques for data preparation / Tye Rattenbury [and four others].

Format:

Book

Author/Creator:

Rattenbury, Ty, author.

Rattenbury, Tye, author.

Language:

English

Subjects (All):

Data mining.

Electronic data processing--Data preparation.

Electronic data processing.

Physical Description:

1 online resource (84 pages) : illustrations, tables

Edition:

First edtion.

Other Title:

Practical techniques for data preparation

Place of Publication:

Beijing, [China] : O'Reilly, 2017.

System Details:

text file

Summary:

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

Contents:

A data workflow framework

The dynamics of data wrangling

Profiling

Transformation : structuring

Transformation : enriching

Using transformation to clean data

Roles and responsibilities

Data wrangling tools.

Notes:

Description based on online resource; title from PDF title page (ebrary, viewed July 26, 2017).

ISBN:

9781491938874

1491938870

9781491938911

1491938919

9781491938898

1491938897

OCLC:

993879257