Exploratory data analysis using R / Ronald K. Pearson.
Material type: TextSeries: Chapman & Hall/CRC data mining and knowledge discoveryPublication details: Boca Raton CRC Press 2018Description: xiii, 547 pages : illustrationsISBN:- 9781498730235 (pbk. : acidfree paper)
- 9781138480605 (hardback : acidfree paper)
- 006.312 PEA
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | Dept. of Computer Science Reference | Dept. of Computer Science | 006.312 PEA (Browse shelf(Opens below)) | Available | DCS4828 |
Browsing Dept. of Computer Science shelves, Shelving location: Reference Close shelf browser (Hides shelf browser)
006.3101 ARN A computational approach to statistical learning / | 006.312 BEN Data Mining Concepts and Algorithms | 006.312 DEY Applied machine learning for smart data analysis / | 006.312 PEA Exploratory data analysis using R / | 006.312 SHI Data mining and knowledge discovery for geoscientists | 006.312 XU Web mining and social networking : techniques and applications / | 006.32 HOP Artificial Neural Networks Advances and Applications |
"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"--
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