02124nam0-2200397 --450 991074588990332120231109133015.09781492097402(OCoLC)ocn96821322520231026d2023----km-y0itay50------baenga-------001yyR for data scienceimport, tidy, transform, visualize, and model dataHadley Wickham and Garrett GrolemundSecond editionSebastopol, CA :O'Reilly,2023xxi, 548 p.ill.23 cmIncludes bibliographical references and index.Part 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."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"Data mining006.31221itaWickham,Hadley475277Grolemund,GarrettITUNINARICAUNIMARCBK991074588990332113 H 32 094633 / 2023FINBC13 62 544632 / 2023FINBC13 H 32 114635 / 2023FINBC13 H 32 104634 / 2023FINBC23 14 D 244636 / 2023FINAG23 14 D 254637 / 2023FINAGFINBCFINAGR for data science3571877UNINA