Exploratory data analysis using R / Ronald K. Pearson.
Material type:
TextSeries: Chapman & Hall/CRC Data Mining and Knowledge SeriesPublication details: Boca Raton : CRC Press, 2018.Description: xiii, 547 pages : illustrations ; 24 cmISBN: - 9780367571566
- QA76.9.D343 P429 2018
| Item type | Current library | Collection | Call number | Vol info | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Main Short
|
Martin Oduor-Otieno Library This item is located on the library ground floor | Non-fiction | QA76.9.D343 P429 2018 (Browse shelf(Opens below)) | 31493/23 | Available | MOOL23090104 | ||
|
Main Short
|
Martin Oduor-Otieno Library This item is located on the library ground floor | Non-fiction | QA76.9.D343 P429 2018 (Browse shelf(Opens below)) | 31494/23 | Available | MOOL23090103 |
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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