| 000 | 01833 a2200289 4500 | ||
|---|---|---|---|
| 003 | P.HPTP | ||
| 005 | 20241231162443.0 | ||
| 008 | 241128b2018 flua|||| |||| 001 0 eng d | ||
| 020 |
_a9780367571566 _qpaperback |
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| 040 |
_cSPK HPTP _aSF PAGOH _beng _dSF PAGOH _erda |
||
| 050 |
_a QA76.9.D343 _bP437 2020 |
||
| 100 |
_aPearson, Ronald K., _d1952- _eauthor. |
||
| 245 | 1 | 0 |
_aExploratory data analysis using R / _cRonald K. Pearson. |
| 264 | 1 |
_aBoca Raton : _b CRC Press/Taylor & Francis Group, _c ©2018. |
|
| 264 | 4 | _c2020 | |
| 300 |
_a xiii, 547 pages : _b illustrations ; _c 24 cm. |
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| 336 |
_2text _ardacontent |
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| 337 |
_2unmediated _ardamedia |
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| 338 |
_2volume _ardacarrier |
||
| 490 | 0 |
_aChapman & Hall/CRC data mining and knowledge discovery, _v45. |
|
| 500 | _a"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 520 | _a"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. | ||
| 650 |
_aData mining _xComputer programs |
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| 650 | _aR (Computer program language) | ||
| 942 |
_cBKP _2lcc |
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| 999 |
_c58586 _d58586 |
||
| 039 |
_h5560 _i Nurhidayati Adila |
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