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Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101491910399
ISBN-139781491910399
eBay Product ID (ePID)211212591
Product Key Features
Number of Pages518 Pages
Publication NameR for Data Science : Import, Tidy, Transform, Visualize, and Model Data
LanguageEnglish
SubjectProgramming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Data Processing
Publication Year2017
TypeTextbook
Subject AreaMathematics, Computers
AuthorHadley Wickham, Garrett Grolemund
FormatTrade Paperback
Dimensions
Item Height1.1 in
Item Weight26.7 Oz
Item Length9.1 in
Item Width6.5 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2017-300238
Dewey Edition23
IllustratedYes
Dewey Decimal006.3/12
SynopsisLearn 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. You'll learn how to: Wrangle --transform your datasets into a form convenient for analysis Program --learn powerful R tools for solving data problems with greater clarity and ease Explore --examine your data, generate hypotheses, and quickly test them Model --provide a low-dimensional summary that captures true "signals" in your dataset Communicate --learn R Markdown for integrating prose, code, and results, 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. You'll learn how to: Wrangle --transform your datasets into a form convenient for analysis Program --learn powerful R tools for solving data problems with greater clarity and ease Explore --examine your data, generate hypotheses, and quickly test them Model --provide a low-dimensional summary that captures true signals in your dataset Communicate --learn R Markdown for integrating prose, code, and results, 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. You'll learn how to: Wrangle '??transform your datasets into a form convenient for analysis Program '??learn powerful R tools for solving data problems with greater clarity and ease Explore '??examine your data, generate hypotheses, and quickly test them Model '??provide a low-dimensional summary that captures true "signals" in your dataset Communicate '??learn R Markdown for integrating prose, code, and results
LC Classification NumberQA76.9.D343
Bewertungen und Rezensionen
Relevanteste Rezensionen
- 01. Mär. 2023
Fantastic info for beginners and pros
absolutely superb instruction text by the master himself, Hadley Wickham. Highly recommended!Bestätigter Kauf: JaArtikelzustand: Gebraucht
- 12. Jun. 2020
Great book!
Love itBestätigter Kauf: JaArtikelzustand: Gebraucht
- 24. Jun. 2022
Excellent book on R
Excellent bookBestätigter Kauf: JaArtikelzustand: Gebraucht
