Exploratory data analysis using R / Ronald K. Pearson.

By:

Pearson, Ronald K, 1952- [author.]

Material type: Text

TextSeries: Chapman & Hall/CRC data mining and knowledge discovery ; 45.Publisher: Boca Raton : CRC Press/Taylor & Francis Group, 2018Description: xiii, 547 pContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781138480605

Subject(s):

LOC classification:

QA76.9.D343 P43 2018

Summary: "This textbook will introduce exploratory data analysis (EDA) and will cover the range of interesting features we can expect to find in data. The book will also explore the practical mechanics of using R to do EDA. Based on the author's course at the University of Connecticut, the book assumes no prior exposure to data analysis or programming, and is designed to be as non-mathematical as possible. Exercises are included throughout, and a Solutions Manual will be available. The author will also provide a supplemental R package through the Comprehensive R Archive Network that will include implementations of some of the features in this book, along with data examples, tools, and datasets"-- Provided by publisher.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
General Collection	Kabarak, Main Campus	QA76.9.D343 P43 2018 c.1 (Browse shelf(Opens below))	Available		34074

"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."

Includes bibliographical references and index.

"This textbook will introduce exploratory data analysis (EDA) and will cover the range of interesting features we can expect to find in data. The book will also explore the practical mechanics of using R to do EDA. Based on the author's course at the University of Connecticut, the book assumes no prior exposure to data analysis or programming, and is designed to be as non-mathematical as possible. Exercises are included throughout, and a Solutions Manual will be available. The author will also provide a supplemental R package through the Comprehensive R Archive Network that will include implementations of some of the features in this book, along with data examples, tools, and datasets"-- Provided by publisher.

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