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Exploratory data analysis using R

By: Material type: TextTextLanguage: English Language Series: Chapman & Hall/CRC data mining and knowledge discovery seriesPublication details: Boca Raton FL : CRC Press/Taylor & Francis Group 2018Description: xiii, 547 some Colour 24 cmISBN:
  • 9781498730235
  • 9781138480605
Subject(s): DDC classification:
  • 006.12 PEA
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"--
Item type: Lending Books
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode Item holds
Lending Books Lending Books Applied Sciences Library Lending Section Lending Collection 006.12 PEA (Browse shelf(Opens below)) Available $84.72 112979
Lending Books Lending Books Applied Sciences Library Lending Section Lending Collection 006.12 PEA (Browse shelf(Opens below)) Available $84.72 112978
Total holds: 0

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

"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"--

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