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R for Data Science by Garrett Wickham: New
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Gratis USPS Media MailTM.
Ubicado en: San Antonio, Texas, Estados Unidos
Entrega:
Entrega prevista entre el mar. 14 oct. y el lun. 20 oct. a 94104
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N.º de artículo de eBay:166903503700
Última actualización el 17 ago 2024 20:40:56 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Publication Date
- 2017-01-31
- Book Title
- R for Data Science
- ISBN
- 9781491910399
Acerca de este producto
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1491910399
ISBN-13
9781491910399
eBay Product ID (ePID)
211212591
Product Key Features
Number of Pages
518 Pages
Publication Name
R for Data Science : Import, Tidy, Transform, Visualize, and Model Data
Language
English
Subject
Programming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Data Processing
Publication Year
2017
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
26.7 Oz
Item Length
9.1 in
Item Width
6.5 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2017-300238
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/12
Synopsis
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, 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 Number
QA76.9.D343
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