LEADER 02585nam 2200505 450 001 9910624380503321 005 20230318122131.0 010 $a1-4842-8780-0 024 7 $a10.1007/978-1-4842-8780-4 035 $a(MiAaPQ)EBC7127626 035 $a(Au-PeEL)EBL7127626 035 $a(CKB)25219243200041 035 $a(OCoLC)1349468003 035 $a(OCoLC-P)1349468003 035 $a(CaSebORM)9781484287804 035 $a(PPN)265863988 035 $a(EXLCZ)9925219243200041 100 $a20230318d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aR 4 data science quick reference $ea pocket guide to APIs, libraries, and packages /$fThomas Mailund 205 $aSecond edition. 210 1$aNew York, New York :$cApress,$d[2022] 210 4$dİ2022 215 $a1 online resource (231 pages) 300 $aIncludes index. 311 08$aPrint version: Mailund, Thomas R 4 Data Science Quick Reference Berkeley, CA : Apress L. P.,c2022 9781484287798 327 $a1. Introduction. - 2. Importing Data: readr -- 3. Representing Tables: tibble. - 4. Tidy+select, 5. Reformatting Tables: tidyr -- 6. Pipelines: magrittr -- 7. Functional Programming: purrr. - 8. Manipulating Data Frames: dplyr. - 9. Working with Strings: stringr -- 10. Working with Factors: forcats. - 11. Working with Dates: lubridate. - 12. Working with Models: broom and modelr. - 13. Plotting: ggplot2 -- 14. Conclusions. 330 $aIn this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub. 606 $aR (Computer program language) 606 $aStatistics$xData processing 615 0$aR (Computer program language) 615 0$aStatistics$xData processing. 676 $a519.502855133 700 $aMailund$b Thomas$0846442 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910624380503321 996 $aR 4 Data Science Quick Reference$92962674 997 $aUNINA