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005 20231109133015.0
010   $a9781492097402
035   $a(OCoLC)ocn968213225
100   $a20231026d2023----km-y0itay50------ba
101 0 $aeng
105   $aa-------001yy
200 1 $aR for data science$eimport, tidy, transform, visualize, and model data$fHadley Wickham and Garrett Grolemund
205   $aSecond edition
210  1$aSebastopol, CA :$cO'Reilly,$d2023
215   $axxi, 548 p.$cill.$d23 cm
320   $aIncludes bibliographical references and index.
327   $aPart I. Explore. Data visualization with ggplot2 -- Workflow: basics -- Data transformation with dplyr -- Workflow: scripts -- Exploratory data analysis -- Workflow: projects -- Part II. Wrangle. Tibbles with tibble -- Data import with readr --Tidy data with tidyr -- Relational data with dplyr -- Strings with stringr -- Factors with forcats -- Dates and times with lubridate -- Part III. Program. Pipes with magrittr -- Functions -- Vectors -- Iteration with purrr -- Part IV. Model. Model basics with modelr -- Model building -- Many models with purrr and broom -- Part V. Communicate. R Markdown -- Graphics for communication with ggplot2 -- R Markdown formats -- R Markdown workflow.
330   $a"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"
610 0 $aData mining
676   $a006.312$v21$zita
700  1$aWickham,$bHadley$0475277
702  1$aGrolemund,$bGarrett
801  0$aIT$bUNINA$gRICA$2UNIMARC
901   $aBK
912   $a9910745889903321
952   $a13 H 32 09$b4633 / 2023$fFINBC
952   $a13 62 54$b4632 / 2023$fFINBC
952   $a13 H 32 11$b4635 / 2023$fFINBC
952   $a13 H 32 10$b4634 / 2023$fFINBC
952   $a23 14 D 24$b4636 / 2023$fFINAG
952   $a23 14 D 25$b4637 / 2023$fFINAG
959   $aFINBC
959   $aFINAG
996   $aR for data science$93571877
997   $aUNINA