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010   $a1-119-63277-3
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010   $a1-119-63275-7
035   $a(CKB)4100000010871004
035   $a(MiAaPQ)EBC6362242
035   $a(OCoLC)1204301860
035   $a(CaSebORM)9781119632726
035   $a(EXLCZ)994100000010871004
100   $a20210227d2021      uy             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 14$aThe big R-book $efrom data science to learning machines and big data /$fPhilippe J. S. De Brouwer
210  1$aHoboken, New Jersey :$cJohn Wiley & Sons, Inc.,$d2021.
215   $a1 online resource (931 pages)
311   $a1-119-63272-2 
330   $a"This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use.The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide range of topics in a single book: databases, statistical machine learning, data wrangling, data visualization, and reporting such results. The book includes seven parts. Part 1 is an Introduction, Part 2 provides an overview of R and elements of statistics. Part 3 revolves around data, while Part 4 focuses on data wrangling. Next, Part 5 focuses on exploring data. Modelling is covered in Part 6, while Part 7 covers reports. Finally, Part 7 contains appendices. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science"--$cProvided by publisher.
606   $aR (Computer program language)$vHandbooks, manuals, etc
615  0$aR (Computer program language)
676   $a519.502855133
700   $aDe Brouwer$b Philippe J. S.$01628696
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910830474803321
996   $aThe big R-book$93965947
997   $aUNINA