LEADER 00986nam a2200229 i 4500 001 991000835149707536 008 100906s1917 it 00 0 ita d 035 $ab13919143-39ule_inst 040 $aDip.to Studi Giuridici$bita 082 0 $a347.45 100 1 $aPateri, Giovanni$0227937 245 13$aLa pratica civile :$bformolario degli atti pił importanti del Codice Civile con note ed appunti di dottrina e di giurisprudenza /$cGiovanni Pateri 250 $a3. ed. corretta e migliorata 260 $aRoma ;$aTorino ;$aNapoli :$bUnione Tipografico Editrice Torinese, gią Ditta Pomba,$c1917 300 $a2 f. p., 685 p. ;$c17 cm. 650 04$aDiritto civile$xFormulario 907 $a.b13919143$b01-02-19$c06-09-10 912 $a991000835149707536 945 $aLE027 F/A II D PAT01.01$g1$i2027000304011$lle027$op$pE20.00$q-$rn$s- $t0$u0$v0$w0$x0$y.i15171498$z16-09-10 996 $aPratica Civile$9226736 997 $aUNISALENTO 998 $ale027$b06-09-10$cm$da $e-$fita$git $h3$i0 LEADER 04039nam 22006255 450 001 9910338016603321 005 20230310143943.0 010 $a1-4842-4511-3 024 7 $a10.1007/978-1-4842-4511-8 035 $a(CKB)4100000007992519 035 $a(MiAaPQ)EBC5755001 035 $a(DE-He213)978-1-4842-4511-8 035 $a(CaSebORM)9781484245118 035 $a(PPN)235671649 035 $a(EXLCZ)994100000007992519 100 $a20190417d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLearn RStudio IDE $eQuick, Effective, and Productive Data Science /$fby Matthew Campbell 205 $a1st ed. 2019. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2019. 215 $a1 online resource (157 pages) 327 $a1. Installing RStudio -- 2. Hello World -- 3. RStudio Views -- 4. RStudio Projects -- 5. Repeatable Analysis -- 6. Essential R Packages: Tidyverse -- 7. Data Visualization -- 8. R Markdown -- 9. Shiny R Dashboards -- 10. Custom R Packages -- 11. Code Tools -- 12. R Programming. 330 $aDiscover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common data analysis tasks including importing data from diverse sources such as SAS files, CSV files, and JSON. You will map out the features in RStudio so that you will be able to customize RStudio to fit your own style of coding. Finally, you will see how to save a ton of time by adopting best practices and using packages to extend RStudio. Learn RStudio IDE is a quick, no-nonsense tutorial of RStudio that will give you a head start to develop the insights you need in your data science projects. You will: Quickly, effectively, and productively use RStudio IDE for building data science applications Install RStudio and program your first Hello World application Adopt the RStudio workflow Make your code reusable using RStudio Use RStudio and Shiny for data visualization projects Debug your code with RStudio Import CSV, SPSS, SAS, JSON, and other data. 606 $aProgramming languages (Electronic computers) 606 $aComputer programming 606 $aEngineering?Data processing 606 $aData mining 606 $aMathematical statistics 606 $aR (Computer program language) 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aData Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11040 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 615 0$aProgramming languages (Electronic computers) 615 0$aComputer programming. 615 0$aEngineering?Data processing. 615 0$aData mining. 615 0$aMathematical statistics. 615 0$aR (Computer program language) 615 14$aProgramming Languages, Compilers, Interpreters. 615 24$aProgramming Techniques. 615 24$aData Engineering. 615 24$aData Mining and Knowledge Discovery. 615 24$aProbability and Statistics in Computer Science. 676 $a006.312 700 $aCampbell$b Matthew$4aut$4http://id.loc.gov/vocabulary/relators/aut$0686643 906 $aBOOK 912 $a9910338016603321 996 $aLearn RStudio IDE$92106915 997 $aUNINA