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Exploratory data analysis using R / Ronald K. Pearson.

By: Series: Chapman & Hall/CRC data mining and knowledge discovery ; 45.Publisher: Boca Raton : CRC Press/Taylor & Francis Group, ©2018Copyright date: 2020Description: xiii, 547 pages : illustrations ; 24 cmContent type:
  • rdacontent
Media type:
  • rdamedia
Carrier type:
  • rdacarrier
ISBN:
  • 9780367571566
Subject(s): LOC classification:
  • QA76.9.D343  P437 2020
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
Books - Printed PERPUSTAKAAN GUNASAMA HAB PENDIDIKAN TINGGI PAGOH QA76.9.D343 P429 2020 (Browse shelf(Opens below)) Available SF0005450

"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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