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010   $a3-030-48997-3
024 7 $a10.1007/978-3-030-48997-7
035   $a(CKB)4100000011363611
035   $a(DE-He213)978-3-030-48997-7
035   $a(MiAaPQ)EBC6272546
035   $a(Au-PeEL)EBL6272546
035   $a(OCoLC)1181993053
035   $a(PPN)269149597
035   $a(MiAaPQ)EBC30766841
035   $a(Au-PeEL)EBL30766841
035   $a(EXLCZ)994100000011363611
100   $a20200727d2020      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 13$aAn Introduction to Data Analysis in R $eHands-on Coding, Data Mining, Visualization and Statistics from Scratch /$fby Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (XV, 276 p. 99 illus., 81 illus. in color.)
225 1 $aUse R!,$x2197-5736
311   $a3-030-48996-5 
327   $aPreface -- 1 Introduction -- 2 Introduction to R -- 3 Databases in R -- 4 Visualization -- 5 Data Analysis with R -- R Packages and Funtions.
330   $aThis textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.
410  0$aUse R!,$x2197-5736
606   $aStatistics 
606   $aBig data
606   $aData mining
606   $aR (Computer program language)
606   $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008
606   $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010
615  0$aStatistics .
615  0$aBig data.
615  0$aData mining.
615  0$aR (Computer program language).
615 14$aStatistics and Computing/Statistics Programs.
615 24$aBig Data/Analytics.
615 24$aData Mining and Knowledge Discovery.
615 24$aStatistics for Business, Management, Economics, Finance, Insurance.
676   $a519.5
676   $a519.50285
700   $aZamora Saiz$b Alfonso$4aut$4http://id.loc.gov/vocabulary/relators/aut$0845493
702   $aQuesada González$b Carlos$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aHurtado Gil$b Lluís$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aMondéjar Ruiz$b Diego$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484916903321
996   $aAn Introduction to Data Analysis in R$91887564
997   $aUNINA