Amazon cover image
Image from Amazon.com

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

By: Contributor(s): Material type: TextTextPublication details: Beijing : O'Reilly, ©2023Edition: 2nd edDescription: xxiii, 548 p. : col. ill. ; 24 cmISBN:
  • 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
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Notes Date due Barcode Item holds
Books Books IIITD Reference Computer Science and Engineering CB 004 WIC-R (Browse shelf(Opens below)) Available DBT Project Grant 012739
Books Books IIITD Reference Computer Science and Engineering CB 004 WIC-R (Browse shelf(Opens below)) Checked out DBT Project Grant 24/12/2024 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.
Collapse summary

There are no comments on this title.

to post a comment.
© 2024 IIIT-Delhi, library@iiitd.ac.in