bookDec 12, 2016Closed access

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Abstract

Learn how to use R to turn raw data into insight, knowledge, and understanding. 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, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. Youll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with…

Citation impact

541
total citations
FWCI
11.31
Percentile
100%
References
0
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • CLARITY
  • Raw data
  • Code (set theory)
  • Data science
  • Big data
  • Section (typography)
  • Data mining
UN Sustainable Development Goals
  • Quality Education
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