R for Data Science - Import, Tidy, Transform, Visualize, and Model Data - Grand Format

2nd edition

Edition en anglais

Hadley Wickham

,

Mine Cetinkaya-Rundel

,

Garrett Grolemund

Note moyenne 
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... Lire la suite
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Résumé

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. You'll understand how to : Visualize : Create plots for data exploration and communication of results ; Transform : Discover variable types and the tools to work with them ; Import : Get data into R and in a form convenient for analysis ; Program : Learn R tools for solving data problems with greater clarity and ease ; Communicate : Integrate prose, code, and results with Quarto.

Caractéristiques

  • Date de parution
    01/07/2023
  • Editeur
  • ISBN
    978-1-4920-9740-2
  • EAN
    9781492097402
  • Format
    Grand Format
  • Présentation
    Broché
  • Nb. de pages
    548 pages
  • Poids
    0.99 Kg
  • Dimensions
    17,8 cm × 23,3 cm × 3,2 cm

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À propos des auteurs

Hadley Wickham is chief scientist at Posit and a member of the R Foundation. He builds computational and cognitive tools that make data science easier, faster, and more fun. Mine Cetinkaya-Rundel is professor of the practice and director of undergraduate studies at the Department of Statistical Science at Duke University. She's also a developer educator at Posit. Garrett Grolemund is the author of Hands-on Programming with R and director of learning at Posit.

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