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Exploratory data analysis using R / Ronald K. Pearson.

By: Material type: TextTextSeries: Chapman & Hall/CRC data mining and knowledge discovery ; 45.Publisher: Boca Raton : CRC Press/Taylor & Francis Group, 2018Description: xiii, 547 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781498730235
Subject(s): DDC classification:
  • 006.312 PER 23
LOC classification:
  • QA76.9.D343 P429 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 Collection Call number Status Barcode
Book Book Air University's Aerospace and Aviation Campus Kamra Computer Science Computer Science 006.312 PER (Browse shelf(Opens below)) Available AUKP1508

"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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