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https://github.com/r4ds/bookclub-R_for_Data_Science

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Host: GitHub
URL: https://github.com/r4ds/bookclub-R_for_Data_Science
Owner: r4ds
Created: 2020-07-11T19:23:19.000Z (over 4 years ago)
Default Branch: main
Last Pushed: 2022-05-14T13:13:54.000Z (over 2 years ago)
Last Synced: 2024-10-29T12:25:41.354Z (14 days ago)
Language: HTML
Size: 18.7 MB
Stars: 33
Watchers: 6
Forks: 17
Open Issues: 1
Metadata Files:
- Readme: README.md
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README

        # R4DS R For Data Science Book Club

A weekly reading group following the chapters of [R for Data Science by Garrett Grolemund & Hadley Wickham](https://r4ds.had.co.nz/)

Visit the [#book_club-r_for_data_science channel](https://r4ds.io/join) on Slack to join the video chat! 

This repo contains 3 main folders:

- Presentations: each week a presenter will give a talk summarizing the chapter and/or discussing practical applications of the topic at hand. 

- QandA: A collection of questions (and answers) on the chapters that come up during meetings (or between!)

- Data: Example datasets are stored in this folder to help facilitate practical applications!

#### Some helpful links: 

- GitHub navigation: [GitHub Web Editor](https://youtu.be/d41oc2OMAuI) | [GitHub Local Setup](https://www.youtube.com/watch?v=hNUNPkoledI)

### Meeting Schedule 

*Cohort 2 [Africa/Europe] - (starting 2020-08-03) - Tuesdays, 19:30 CE(S)T*

- 2020-12-28 Chapter 21 - Iteration

- 2021-01-04 Chapter 22 - Introduction (Modeling)

- 2021-01-11 Chapter 23 - Model basics

   Future Meetings 

- 2021-01-18 Chapter 24 - Model building

- 2021-01-25 Chapter 25 - Many models



*Cohort 3 [Asia] - (starting 2020-12-08) - Tuesdays, 02:30 am UTC*

- 2021-01-05 Chapter 6 - Workflow: scripts

- 2021-01-12 Chapter 7 - Exploratory Data Analysis

   Future Meetings 

  

- 2021-01-19 Chapter 8 - Workflow: projects

- 2021-01-26 Chapter 9 - Introduction (Wrangle)



*Cohort 4 - (starting 2020-12-16) - Wednesdays, 06:00 pm CST*

- 2020-12-16 Introduction

- 2020-12-23 Chapter 3 - Data visualization

- 2020-12-30 Chapters 4 & 5 - Workflow: basics; Exploratory Data Analysis

- 2021-01-06 Chapters 5 & 6 - Data Transformation; Workflow: scripts

- 2021-01-13 Chapter 7 - Exploratory Data Analysis

- 2021-01-20 Chapter 7 - Exploratory Data Analysis (Continued)

- 2021-01-27 Chapter 7 - Exploratory Data Analysis (Continued)

- 2021-02-03 Chapter 7 - Exploratory Data Analysis (Continued)

- 2021-02-10 Chapters 8 & 9 - Workflow: projects; Wrangle introduction

- 2021-02-17 Chapter 10 - Tibbles

- 2021-02-24 Chapter 11 - Data import

- 2021-03-03 Chapter 12 - Tidy data 

- 2021-03-10 Chapter 13 - Relational data

- 2021-03-17 Chapter 14 - Strings

- 2021-03-24 Chapter 14 - Strings (Continued)

- 2021-03-31 Chapter 15 - Factors

- 2021-04-07 Chapter 16 - Dates & Times

   Future Meetings 

  

- 2021-04-14 Chapter 16, 17 & 18 - Dates & Times (Continued); Introduction: Program; Pipes

- 2021-04-21 Chapter 19 - Functions

- 2021-04-28 Chapter 20 - Vectors

- 2021-05-05 Chapter 21 - Iteration

- 2021-05-12 Chapter 22 & 23 - Introduction: Models; Model basics

- 2021-05-19 Chapter 24 - Model building

- 2021-05-16 Chapter 25 - Many models



### Presentations & Recordings

#### Chapter 2 Introduction 

- Cohort 1: Luke Morris ([video](https://youtu.be/J8KHe2KAnUk) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week01/Cohort1/R4DS%20Ch%201-2%20-%20Morris.html))

- Cohort 2: [Alan Kinene](https://twitter.com/kinenealan) ([video](https://youtu.be/M28oO5jmVQU) | [slides](https://www.alankinene.com/r4ds_book_club/r4ds/r4ds-ch1_2.html#1))

- Cohort 3: Adithi R. Upadhya ([video](https://youtu.be/l3OMDYzn7uU) | [slides](https://github.com/adithirgis/r4ds_practice/blob/master/R/R4DS_Asian_Chap_1_2_ARU.Rmd))

- Cohort 4: Ryan S ([video](https://youtu.be/_IQrDw3Fp4M) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week01/Cohort04/Presentations/Week01/Cohort4/01_intro_ryan_s.pdf))

#### Chapter 3 Data visualisation 

- Cohort 1: Luke Morris ([video](https://youtu.be/TuWkMvQbYPI) | [Gina Reynolds' ggplot flipbook](https://evamaerey.github.io/ggplot_flipbook/ggplot_flipbook_xaringan.html))

- Cohort 2: Kamran Khan ([slides](https://github.com/camcaan/bookclub-R_for_Data_Science/blob/main/Presentations/Week02/Cohort02/R4DS_Visualisation_slides.pptx) | [video](https://youtu.be/1Kl-Ma2Ajk8))

- Cohort 3: Arnab Dey ([video](https://youtu.be/8Ltc8Zxpqjg))

- Cohort 4: Ryan S ([video](https://www.youtube.com/watch?v=rzBz_ZfIP4Y&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=3) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week02/Cohort04/03_data_visualization_ryan_s.pdf))

#### Chapter 4 Workflow: basics 

- Cohort 1: Erick Knackstedt ([video](https://youtu.be/utmMd8QEq7Y) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week03/Cohort1/Chapter4Slides.html)) 

- Cohort 2: Neha Moopen ([video](https://youtu.be/uFseYWMo5jg) | SLIDES)

- Cohort 3: Deepthi ([video](https://youtu.be/5sEHsmktlWE))

- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video](https://www.youtube.com/watch?v=rzBz_ZfIP4Y&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=3) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week03/Cohort4/04_r4ds_chaps_4_5.pdf))

#### Chapter 5 Data transformation 

- Cohort 1: Silvia Canelón ([video (merged with ch4)](https://youtu.be/p-h758aKWQY) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week04/Cohort1/Chapter5Slides.html))

- Cohort 2: Neha Moopen ([video Pt.1 (merged with ch4)](https://youtu.be/uFseYWMo5jg), [video Pt.2](https://youtu.be/VXzFEZ3LMJU) | SLIDES)

- Cohort 3: Part 1: See Chapter 4

- Cohort 3: Part 2: Deepthi ([video](https://youtu.be/VTQS_lLz0Os))

- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video - part 1](https://youtu.be/kss3ljtwNE8?list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&t=1803) | [video - part 2](https://www.youtube.com/watch?v=cHbpPFFGHn0&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=4) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week03/Cohort4/04_r4ds_chaps_4_5.pdf))

#### Chapter 6 Workflow: scripts

- Cohort 1: Pavitra Chakravarty ([video](https://www.youtube.com/watch?v=mlIgAWOLVuQ) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week05/Cohort1/Chapter6Slides.html))

- Cohort 2: Shamsuddeen Muhammad ([video](https://youtu.be/SfAiSNKdAXA) | SLIDES)

- Cohort 4: Ryan S ([video](https://youtu.be/cHbpPFFGHn0?list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&t=2670) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week05/Cohort4/06_exploratory_part1_ryan_s.pdf))

#### Chapter 7 Exploratory Data Analysis 

- Cohort 1: Pavitra Chakravarty ([video (merged with ch6)](https://www.youtube.com/watch?v=mlIgAWOLVuQ) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week05/Cohort1/Chapter6Slides.html))

- Cohort 2: Shamsuddeen Muhammad ([video (merged with ch6)](https://youtu.be/SfAiSNKdAXA) | SLIDES)

- Cohort 4: Ryan S ([video - part 1](https://www.youtube.com/watch?v=5nfLL7eEGag&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=5) | [video - part 2](https://www.youtube.com/watch?v=HicrANUfnj0&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=6) | [video - part 3](https://www.youtube.com/watch?v=iJL9ynlvWXk&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=7) | [video - part 4](https://www.youtube.com/watch?v=PUz5VKrEDzE&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=8) | [slides part - 1](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week05/Cohort4/07_exploratory_part1_ryan_s.pdf) | [slides part - 2](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week06/Cohort4/07_exploratory_part2_ryan_s.pdf) | SLIDES - PART 3 | [slides part - 4](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week08/Cohort4/07_exploratory_part4_ryan_s.pdf))

#### Chapter 8 Workflow: projects 

- Cohort 1: Luke Morris ([video](https://youtu.be/FVF_aDtsQ_U) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week06/Cohort1/Chapter8910Slides.html))

- Cohort 2: Kamran Khan ([video](https://youtu.be/5QKJpziLKOM) | SLIDES)

- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video](https://www.youtube.com/watch?v=ZAVeohwQ7jI&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=9) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week09/Cohort4/09_r4ds_chaps_8_9_10.pdf))

#### Chapter 9 Introduction 

- Cohort 1: Luke Morris ([video (merged with ch8)](https://youtu.be/FVF_aDtsQ_U) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week06/Cohort1/Chapter8910Slides.html))

- Cohort 2: Kamran Khan ([video (merged with ch8/10)](https://youtu.be/5QKJpziLKOM) | SLIDES)

- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video](https://youtu.be/ZAVeohwQ7jI?list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&t=2763) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week09/Cohort4/09_r4ds_chaps_8_9_10.pdf))

#### Chapter 10 Tibbles 

- Cohort 1: Luke Morris ([video (merged with ch8/9)](https://youtu.be/FVF_aDtsQ_U) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week06/Cohort1/Chapter8910Slides.html))

- Cohort 2: Kamran Khan ([video (merged with ch8/9)](https://youtu.be/5QKJpziLKOM) | SLIDES)

- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video](https://www.youtube.com/watch?v=hJVahVP2jvY&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=10) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week09/Cohort4/09_r4ds_chaps_8_9_10.pdf))

#### Chapter 11 Data import 

- Cohort 1: Luke Morris ([video](https://www.youtube.com/watch?v=6QIDXUJbB1o) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week07/Cohort1/Chapter11Slides.html#1))

- Cohort 2: Shamsuddeen Muhammad ([video](https://youtu.be/oz3GftZaLoU) | SLIDES)

- Cohort 4: Sandra ([video](https://www.youtube.com/watch?v=hJVahVP2jvY&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=10) | SLIDES)

#### Chapter 12 Tidy data 

- Cohort 2: Havva Yalinca ([video](https://youtu.be/ZPjqrPU82oc) | SLIDES)

- Cohort 4: Ryan S ([video](https://www.youtube.com/watch?v=xYCQwAzeUEQ&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=12) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week12/Cohort4/12_tidy_data_ryan_s.pdf))

#### Chapter 13 Relational data 

- Cohort 2: Ruth Alsancak ([video](https://youtu.be/OrdmIgIF6fE) | SLIDES)

- Cohort 4: Ryan S ([video](https://www.youtube.com/watch?v=HDns-N3oyPU&list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY&index=13) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week13/Cohort4/13_relational_data_ryan_s.pdf))

#### Chapter 14 Strings 

- Cohort 2: Alan Kinene ([video](https://youtu.be/LhKcezUfOkA) | SLIDES)

- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video - part 1](https://youtu.be/nxYJynGTlr0) | [video - part 2](https://youtu.be/jYxuVLGhXVE) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week14/Cohort4/14_r4ds_chapter_14_slides.pdf))

#### Chapter 15 Factors 

- Cohort 2: Shamsuddeen Muhammad ([video](https://youtu.be/BE9cBn_kEuI) | SLIDES)

- Cohort 4: Ryan S ([video](https://youtu.be/wLKp5IBy-Zs) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week16/Cohort4/16_factors_ryan_s.pdf))

#### Chapter 16 Dates and times 

- Cohort 2: Havva Yalinca ([video](https://youtu.be/k9JxPplTbxg) | SLIDES)

- Cohort 4: Maria C Ramos (VIDEO | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week17/Cohort4/16_date_times_maria_ramos.pdf))

#### Chapter 17 Introduction 

#### Chapter 18 Pipes 

- Cohort 2: Shamsuddeen Muhammad ([video](https://youtu.be/lOhocN1qVFk) | SLIDES)

- Cohort 4: Sandra (VIDEO | SLIDES)

#### Chapter 19 Functions 

- Cohort 2: Shamsuddeen Muhammad (see Chapter 18)

- Cohort 4: [Collin Berke](https://github.com/collinberke) (VIDEO | SLIDES)

#### Chapter 20 Vectors 

- Cohort 2: Alan Kinene ([video](https://youtu.be/Ggqo6Q4T_FA))

- Cohort 4: Ryan S (VIDEO | SLIDES)

#### Chapter 21 Iteration 

- Cohort 4: [Collin Berke](https://github.com/collinberke) (VIDEO | SLIDES)

#### Chapter 22 Introduction 

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#### Chapter 23 Model basics 

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#### Chapter 24 Model building 

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#### Chapter 25 Many models 

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#### Chapter 26 Introduction 

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#### Chapter 27 R Markdown 

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#### Chapter 28 Graphics for communication 

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#### Chapter 29 R Markdown formats 

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#### Chapter 30 R Markdown workflow 

-