R for data science : import, tidy, transform, visualize, and model data

By:

Wickham, Hadley

Contributor(s):

Material type: Text

9789355429827

Subject(s):

DDC classification:

004 WIC-R

Contents:

Part I. Whole Game Part II. Visualize Part III. Transform Part IV. Import Part V. Program Part VI. Communicate

Summary: 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"--Publisher's summary. Collapse summary

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode	Item holds
Books	IIITD Reference	Computer Science and Engineering	CB 004 WIC-R (Browse shelf(Opens below))	Available	DBT Project Grant		012739
Books	IIITD Reference	Computer Science and Engineering	CB 004 WIC-R (Browse shelf(Opens below))	Available	DBT Project Grant		012740

Total holds: 0

Includes bibliographical references and index.

Part I. Whole Game Part II. Visualize Part III. Transform Part IV. Import Part V. Program Part VI. 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. 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"--Publisher's summary.
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