{"id":13665489,"url":"https://github.com/r4ds/bookclub-R_for_Data_Science","last_synced_at":"2025-04-26T08:32:06.178Z","repository":{"id":40331461,"uuid":"278927826","full_name":"r4ds/bookclub-R_for_Data_Science","owner":"r4ds","description":null,"archived":true,"fork":false,"pushed_at":"2022-05-14T13:13:54.000Z","size":19607,"stargazers_count":33,"open_issues_count":1,"forks_count":16,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-04-20T16:25:10.741Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/r4ds.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-07-11T19:23:19.000Z","updated_at":"2025-03-25T15:25:50.000Z","dependencies_parsed_at":"2022-08-09T17:30:52.068Z","dependency_job_id":null,"html_url":"https://github.com/r4ds/bookclub-R_for_Data_Science","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r4ds%2Fbookclub-R_for_Data_Science","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r4ds%2Fbookclub-R_for_Data_Science/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r4ds%2Fbookclub-R_for_Data_Science/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/r4ds%2Fbookclub-R_for_Data_Science/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/r4ds","download_url":"https://codeload.github.com/r4ds/bookclub-R_for_Data_Science/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250741076,"owners_count":21479532,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-02T06:00:39.852Z","updated_at":"2025-04-26T08:32:06.125Z","avatar_url":"https://github.com/r4ds.png","language":"HTML","readme":"# R4DS R For Data Science Book Club\n\nA weekly reading group following the chapters of [R for Data Science by Garrett Grolemund \u0026 Hadley Wickham](https://r4ds.had.co.nz/)\n\nVisit the [#book_club-r_for_data_science channel](https://r4ds.io/join) on Slack to join the video chat! \n\nThis repo contains 3 main folders:\n\n- Presentations: each week a presenter will give a talk summarizing the chapter and/or discussing practical applications of the topic at hand. \n\n- QandA: A collection of questions (and answers) on the chapters that come up during meetings (or between!)\n\n- Data: Example datasets are stored in this folder to help facilitate practical applications!\n\n\n#### Some helpful links: \n- GitHub navigation: [GitHub Web Editor](https://youtu.be/d41oc2OMAuI) | [GitHub Local Setup](https://www.youtube.com/watch?v=hNUNPkoledI)\n\n### Meeting Schedule \n\n*Cohort 2 [Africa/Europe] - (starting 2020-08-03) - Tuesdays, 19:30 CE(S)T*\n\n- 2020-12-28 Chapter 21 - Iteration\n- 2021-01-04 Chapter 22 - Introduction (Modeling)\n- 2021-01-11 Chapter 23 - Model basics\n\n\u003cdetails\u003e\n  \u003csummary\u003e Future Meetings \u003c/summary\u003e\n\n- 2021-01-18 Chapter 24 - Model building\n- 2021-01-25 Chapter 25 - Many models\n\n\u003c/details\u003e\n\u003chr\u003e\n\n\n*Cohort 3 [Asia] - (starting 2020-12-08) - Tuesdays, 02:30 am UTC*\n\n- 2021-01-05 Chapter 6 - Workflow: scripts\n- 2021-01-12 Chapter 7 - Exploratory Data Analysis\n\n\u003cdetails\u003e\n  \u003csummary\u003e Future Meetings \u003c/summary\u003e\n  \n- 2021-01-19 Chapter 8 - Workflow: projects\n- 2021-01-26 Chapter 9 - Introduction (Wrangle)\n\n\u003c/details\u003e\n\u003chr\u003e\n\n\n*Cohort 4 - (starting 2020-12-16) - Wednesdays, 06:00 pm CST*\n\n- 2020-12-16 Introduction\n- 2020-12-23 Chapter 3 - Data visualization\n- 2020-12-30 Chapters 4 \u0026 5 - Workflow: basics; Exploratory Data Analysis\n- 2021-01-06 Chapters 5 \u0026 6 - Data Transformation; Workflow: scripts\n- 2021-01-13 Chapter 7 - Exploratory Data Analysis\n- 2021-01-20 Chapter 7 - Exploratory Data Analysis (Continued)\n- 2021-01-27 Chapter 7 - Exploratory Data Analysis (Continued)\n- 2021-02-03 Chapter 7 - Exploratory Data Analysis (Continued)\n- 2021-02-10 Chapters 8 \u0026 9 - Workflow: projects; Wrangle introduction\n- 2021-02-17 Chapter 10 - Tibbles\n- 2021-02-24 Chapter 11 - Data import\n- 2021-03-03 Chapter 12 - Tidy data \n- 2021-03-10 Chapter 13 - Relational data\n- 2021-03-17 Chapter 14 - Strings\n- 2021-03-24 Chapter 14 - Strings (Continued)\n- 2021-03-31 Chapter 15 - Factors\n- 2021-04-07 Chapter 16 - Dates \u0026 Times\n\n\u003cdetails\u003e\n  \u003csummary\u003e Future Meetings \u003c/summary\u003e\n  \n\n- 2021-04-14 Chapter 16, 17 \u0026 18 - Dates \u0026 Times (Continued); Introduction: Program; Pipes\n- 2021-04-21 Chapter 19 - Functions\n- 2021-04-28 Chapter 20 - Vectors\n- 2021-05-05 Chapter 21 - Iteration\n- 2021-05-12 Chapter 22 \u0026 23 - Introduction: Models; Model basics\n- 2021-05-19 Chapter 24 - Model building\n- 2021-05-16 Chapter 25 - Many models\n\n\n\u003c/details\u003e\n\u003chr\u003e\n\n### Presentations \u0026 Recordings\n\n#### Chapter 2 Introduction \n\n- 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))\n- 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))\n- 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))\n- 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))\n\n#### Chapter 3 Data visualisation \n\n- Cohort 1: Luke Morris ([video](https://youtu.be/TuWkMvQbYPI) | [Gina Reynolds' ggplot flipbook](https://evamaerey.github.io/ggplot_flipbook/ggplot_flipbook_xaringan.html))\n- 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))\n- Cohort 3: Arnab Dey ([video](https://youtu.be/8Ltc8Zxpqjg))\n- Cohort 4: Ryan S ([video](https://www.youtube.com/watch?v=rzBz_ZfIP4Y\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=3) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week02/Cohort04/03_data_visualization_ryan_s.pdf))\n\n#### Chapter 4 Workflow: basics \n\n- Cohort 1: Erick Knackstedt ([video](https://youtu.be/utmMd8QEq7Y) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week03/Cohort1/Chapter4Slides.html)) \n- Cohort 2: Neha Moopen ([video](https://youtu.be/uFseYWMo5jg) | SLIDES)\n- Cohort 3: Deepthi ([video](https://youtu.be/5sEHsmktlWE))\n- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video](https://www.youtube.com/watch?v=rzBz_ZfIP4Y\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=3) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week03/Cohort4/04_r4ds_chaps_4_5.pdf))\n\n#### Chapter 5 Data transformation \n\n- 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))\n- Cohort 2: Neha Moopen ([video Pt.1 (merged with ch4)](https://youtu.be/uFseYWMo5jg), [video Pt.2](https://youtu.be/VXzFEZ3LMJU) | SLIDES)\n- Cohort 3: Part 1: See Chapter 4\n- Cohort 3: Part 2: Deepthi ([video](https://youtu.be/VTQS_lLz0Os))\n- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video - part 1](https://youtu.be/kss3ljtwNE8?list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026t=1803) | [video - part 2](https://www.youtube.com/watch?v=cHbpPFFGHn0\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=4) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week03/Cohort4/04_r4ds_chaps_4_5.pdf))\n\n#### Chapter 6 Workflow: scripts\n\n- 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))\n- Cohort 2: Shamsuddeen Muhammad ([video](https://youtu.be/SfAiSNKdAXA) | SLIDES)\n- Cohort 4: Ryan S ([video](https://youtu.be/cHbpPFFGHn0?list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026t=2670) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week05/Cohort4/06_exploratory_part1_ryan_s.pdf))\n\n#### Chapter 7 Exploratory Data Analysis \n\n- 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))\n- Cohort 2: Shamsuddeen Muhammad ([video (merged with ch6)](https://youtu.be/SfAiSNKdAXA) | SLIDES)\n- Cohort 4: Ryan S ([video - part 1](https://www.youtube.com/watch?v=5nfLL7eEGag\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=5) | [video - part 2](https://www.youtube.com/watch?v=HicrANUfnj0\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=6) | [video - part 3](https://www.youtube.com/watch?v=iJL9ynlvWXk\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=7) | [video - part 4](https://www.youtube.com/watch?v=PUz5VKrEDzE\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=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))\n\n#### Chapter 8 Workflow: projects \n\n- 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))\n- Cohort 2: Kamran Khan ([video](https://youtu.be/5QKJpziLKOM) | SLIDES)\n- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video](https://www.youtube.com/watch?v=ZAVeohwQ7jI\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=9) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week09/Cohort4/09_r4ds_chaps_8_9_10.pdf))\n\n#### Chapter 9 Introduction \n\n- 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))\n- Cohort 2: Kamran Khan ([video (merged with ch8/10)](https://youtu.be/5QKJpziLKOM) | SLIDES)\n- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video](https://youtu.be/ZAVeohwQ7jI?list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026t=2763) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week09/Cohort4/09_r4ds_chaps_8_9_10.pdf))\n\n#### Chapter 10 Tibbles \n\n- 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))\n- Cohort 2: Kamran Khan ([video (merged with ch8/9)](https://youtu.be/5QKJpziLKOM) | SLIDES)\n- Cohort 4: [Collin Berke](https://github.com/collinberke) ([video](https://www.youtube.com/watch?v=hJVahVP2jvY\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=10) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week09/Cohort4/09_r4ds_chaps_8_9_10.pdf))\n\n#### Chapter 11 Data import \n\n- 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))\n- Cohort 2: Shamsuddeen Muhammad ([video](https://youtu.be/oz3GftZaLoU) | SLIDES)\n- Cohort 4: Sandra ([video](https://www.youtube.com/watch?v=hJVahVP2jvY\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=10) | SLIDES)\n\n#### Chapter 12 Tidy data \n\n- Cohort 2: Havva Yalinca ([video](https://youtu.be/ZPjqrPU82oc) | SLIDES)\n- Cohort 4: Ryan S ([video](https://www.youtube.com/watch?v=xYCQwAzeUEQ\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=12) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week12/Cohort4/12_tidy_data_ryan_s.pdf))\n\n#### Chapter 13 Relational data \n\n- Cohort 2: Ruth Alsancak ([video](https://youtu.be/OrdmIgIF6fE) | SLIDES)\n- Cohort 4: Ryan S ([video](https://www.youtube.com/watch?v=HDns-N3oyPU\u0026list=PL3x6DOfs2NGjtn1_4BSX99R5wrLjK7XvY\u0026index=13) | [slides](https://r4ds.github.io/bookclub-R_for_Data_Science/Presentations/Week13/Cohort4/13_relational_data_ryan_s.pdf))\n\n#### Chapter 14 Strings \n\n- Cohort 2: Alan Kinene ([video](https://youtu.be/LhKcezUfOkA) | SLIDES)\n- 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))\n\n#### Chapter 15 Factors \n\n- Cohort 2: Shamsuddeen Muhammad ([video](https://youtu.be/BE9cBn_kEuI) | SLIDES)\n- 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))\n\n#### Chapter 16 Dates and times \n\n- Cohort 2: Havva Yalinca ([video](https://youtu.be/k9JxPplTbxg) | SLIDES)\n- 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))\n\n#### Chapter 17 Introduction \n\n#### Chapter 18 Pipes \n\n- Cohort 2: Shamsuddeen Muhammad ([video](https://youtu.be/lOhocN1qVFk) | SLIDES)\n- Cohort 4: Sandra (VIDEO | SLIDES)\n\n#### Chapter 19 Functions \n\n- Cohort 2: Shamsuddeen Muhammad (see Chapter 18)\n- Cohort 4: [Collin Berke](https://github.com/collinberke) (VIDEO | SLIDES)\n\n#### Chapter 20 Vectors \n\n- Cohort 2: Alan Kinene ([video](https://youtu.be/Ggqo6Q4T_FA))\n- Cohort 4: Ryan S (VIDEO | SLIDES)\n\n#### Chapter 21 Iteration \n\n- Cohort 4: [Collin Berke](https://github.com/collinberke) (VIDEO | SLIDES)\n\n#### Chapter 22 Introduction \n\n- \n\n#### Chapter 23 Model basics \n\n- \n\n#### Chapter 24 Model building \n\n- \n\n#### Chapter 25 Many models \n\n- \n\n#### Chapter 26 Introduction \n\n- \n\n#### Chapter 27 R Markdown \n\n- \n\n#### Chapter 28 Graphics for communication \n\n- \n\n#### Chapter 29 R Markdown formats \n\n- \n\n#### Chapter 30 R Markdown workflow \n\n- \n","funding_links":[],"categories":["HTML"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fr4ds%2Fbookclub-R_for_Data_Science","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fr4ds%2Fbookclub-R_for_Data_Science","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fr4ds%2Fbookclub-R_for_Data_Science/lists"}