R for data science
R for data science
- Fourth release
- O'Reilly, 2016
- 492 p. il. col. 23 cm.
import, tidy, transform, visualize, and model data
Includes index. Preface-- Part I. Explore-- Part II. Wrangle-- Part III. Program-- Part IV. Model-- Part V. Communicate--
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. You'll 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 exercises to help you practice what you've learned along the way. ;
9781491910399
QA MATHEMATICS
R (Computer program language)
Data mining--Computer programs
Information visualization--Computer programs
Big data
Databases
Electronic data processing
Statistics
import, tidy, transform, visualize, and model data
Includes index. Preface-- Part I. Explore-- Part II. Wrangle-- Part III. Program-- Part IV. Model-- Part V. Communicate--
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. You'll 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 exercises to help you practice what you've learned along the way. ;
9781491910399
QA MATHEMATICS
R (Computer program language)
Data mining--Computer programs
Information visualization--Computer programs
Big data
Databases
Electronic data processing
Statistics
