LEADER 01709nam 2200361 n 450 001 996384929503316 005 20200818214246.0 035 $a(CKB)4940000000071326 035 $a(EEBO)2240882625 035 $a(UnM)ocm99883312e 035 $a(UnM)99883312 035 $a(EXLCZ)994940000000071326 100 $a19930407d1659 uy 101 0 $aeng 135 $aurbn||||a|bb| 200 12$aA short, legal, medicinal, usefull, safe, easie prescription, to recover our kingdom, Church, nation from their present dangerous, distractive, destructive confusion, and worse than Bedlam madnesse;$b[electronic resource] $eseriously recommended to all English freemen who desire peace, safety, liberty, settlement. /$fBy William Prynne, Esq; a bencher of Lincolns Inne 210 $aLondon $cprinted, and are to be sold by Edward Thomas at the Adam and Eve in Little Britain$d1659 215 $a[1+] p 300 $aA fragment; title page only. 300 $aReproduction of original in the British Library. 330 $aeebo-0018 607 $aGreat Britain$xPolitics and government$y1649-1660$vEarly works to 1800 607 $aGreat Britain$xHistory$yCommonwealth and Protectorate, 1649-1660$vEarly works to 1800 608 $aTitle pages$zEngland$y17th cent. 700 $aPrynne$b William$f1600-1669.$0198500 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bCu-RivES 906 $aBOOK 912 $a996384929503316 996 $aA short, legal, medicinal, usefull, safe, easie prescription, to recover our kingdom, Church, nation from their present dangerous, distractive, destructive confusion, and worse than Bedlam madnesse$92363341 997 $aUNISA LEADER 03841nam 22006735 450 001 996418263503316 005 20220627145309.0 010 $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(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$b[electronic resource] $eHands-on Coding, Data Mining, Visualization and Statistics from Scratch /$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 $a519.5 700 $aZamora Saiz$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 $a996418263503316 996 $aAn Introduction to Data Analysis in R$91887564 997 $aUNISA