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  • 1. Welcome | R for Data Science

    had.co.nz

    Link: https://r4ds.had.co.nz/

    Description: WebThis book is now out-of-date and instead we recommend the 2nd edition at http://r4ds.hadley.nz/ which was published in June 2023. R4DS teaches you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it.

    DA: 83 PA: 47 MOZ Rank: 47

  • 2. R for Data Science (2e)

    hadley.nz

    Link: https://r4ds.hadley.nz/

    Description: WebThis is the website for the 2nd edition of “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it and visualize.

    DA: 70 PA: 97 MOZ Rank: 35

  • 3. R for Data Science (2e) - Preface to the second edition

    hadley.nz

    Link: https://r4ds.hadley.nz/preface-2e

    Description: WebPreface to the second edition. Welcome to the second edition of “R for Data Science”! This is a major reworking of the first edition, removing material we no longer think is useful, adding material we wish we included in the first edition, and generally updating the text and code to reflect changes in best practices.

    DA: 28 PA: 5 MOZ Rank: 36

  • 4. R for Data Science (2e) - Introduction

    hadley.nz

    Link: https://r4ds.hadley.nz/intro.html

    Description: WebData science is an exciting discipline that allows you to transform raw data into understanding, insight, and knowledge. The goal of “R for Data Science” is to help you learn the most important tools in R that will allow you to do data science efficiently and reproducibly, and to have some fun along the way 😃.

    DA: 60 PA: 28 MOZ Rank: 33

  • 5. GitHub - hadley/r4ds: R for data science: a book

    github.com

    Link: https://github.com/hadley/r4ds

    Description: WebStar 4.3k. main. README. Code of conduct. License. R for Data Science. This repository contains the source of R for Data Science book. The book is built using Quarto. Images. Omnigraffle drawings. Font: 12pt Guardian Sans Condensed / Ubuntu mono. Export as …

    DA: 62 PA: 44 MOZ Rank: 48

  • 6. Learn the tidyverse

    tidyverse.org

    Link: https://www.tidyverse.org/learn/

    Description: WebYou will learn about the Tidyverse, what tidy data really is, and how to practically achieve it with packages such as dplyr, tidyr, lubridate, and forcats. Learn R for Data Analysis by Locke Data. Attend this two day course to get hands-on with the R programming language.

    DA: 100 PA: 20 MOZ Rank: 55

  • 7. R for Data Science, 2nd edition

    tidyverse.org

    Link: https://www.tidyverse.org/blog/2023/07/r4ds-2e/

    Description: WebJul 11, 2023 · We’re thrilled to announce the publication of the 2nd edition of R for Data Science. The second edition is a major reworking of the first edition, removing material we no longer think is useful, adding material we wish we included in the first edition, and generally updating the text and code to reflect changes in best practices.

    DA: 35 PA: 99 MOZ Rank: 17

  • 8. 1 Introduction | R for Data Science - Hadley

    had.co.nz

    Link: https://r4ds.had.co.nz/introduction.html

    Description: WebIntroduction. You’re reading the first edition of R4DS; for the latest on this topic see the Introduction chapter in the second edition. Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of “R for Data Science” is to help you learn the most important tools in R ...

    DA: 13 PA: 88 MOZ Rank: 40

  • 9. Introduction - R for Data Science, 2nd Edition [Book] - O'Reilly …

    oreilly.com

    Link: https://www.oreilly.com/library/view/r-for-data/9781492097396/introduction01.html

    Description: WebWelcome to the second edition of R for Data Science (R4DS)! This is a major reworking of the first edition, removing material we no longer think is useful, adding material we wish we included in the first edition, and generally updating …

    DA: 98 PA: 27 MOZ Rank: 66

  • 10. 21 Iteration | R for Data Science - Hadley

    had.co.nz

    Link: https://r4ds.had.co.nz/iteration.html

    Description: WebYou’re reading the first edition of R4DS; for the latest on this topic see the Iteration chapter in the second edition. 21.1 Introduction. In functions, we talked about how important it is to reduce duplication in your code by creating functions instead of copying-and-pasting. Reducing code duplication has three main benefits:

    DA: 5 PA: 33 MOZ Rank: 73