TY  - BOOK
AU  - Wickham,Hadley
AU  - Çetinkaya-Rundel,Mine
AU  - Grolemund,Garrett
TI  - R for data science: import, tidy, transform, visualize, and model data 
SN  - 9781492097402
AV  - QA276.45.R3 W53 2023
U1  - 004 23
KW  - Data mining
KW  - Computer programs
KW  - Information visualization
KW  - R (Computer program language)
KW  - Big data
KW  - Exploration de données (Informatique)
KW  - Logiciels
KW  - Visualisation de l'information
KW  - R (Langage de programmation)
KW  - Données volumineuses
KW  - fast
KW  - Electronic data processing
KW  - Statistics
N1  - Includes bibliographical references (pages 534-535) and index
N2  - Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way
ER  -