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bookclub-r_for_data_science's Introduction

R4DS R For Data Science Book Club

A weekly reading group following the chapters of R for Data Science by Garrett Grolemund & Hadley Wickham

Visit the #book_club-r_for_data_science channel 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:

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

Chapter 3 Data visualisation

Chapter 4 Workflow: basics

Chapter 5 Data transformation

Chapter 6 Workflow: scripts

Chapter 7 Exploratory Data Analysis

Chapter 8 Workflow: projects

Chapter 9 Introduction

Chapter 10 Tibbles

Chapter 11 Data import

  • Cohort 1: Luke Morris (video | slides)
  • Cohort 2: Shamsuddeen Muhammad (video | SLIDES)
  • Cohort 4: Sandra (video | SLIDES)

Chapter 12 Tidy data

Chapter 13 Relational data

Chapter 14 Strings

Chapter 15 Factors

  • Cohort 2: Shamsuddeen Muhammad (video | SLIDES)
  • Cohort 4: Ryan S (video | slides)

Chapter 16 Dates and times

  • Cohort 2: Havva Yalinca (video | SLIDES)
  • Cohort 4: Maria C Ramos (VIDEO | slides)

Chapter 17 Introduction

Chapter 18 Pipes

  • Cohort 2: Shamsuddeen Muhammad (video | SLIDES)
  • Cohort 4: Sandra (VIDEO | SLIDES)

Chapter 19 Functions

  • Cohort 2: Shamsuddeen Muhammad (see Chapter 18)
  • Cohort 4: Collin Berke (VIDEO | SLIDES)

Chapter 20 Vectors

  • Cohort 2: Alan Kinene (video)
  • Cohort 4: Ryan S (VIDEO | SLIDES)

Chapter 21 Iteration

Chapter 22 Introduction

Chapter 23 Model basics

Chapter 24 Model building

Chapter 25 Many models

Chapter 26 Introduction

Chapter 27 R Markdown

Chapter 28 Graphics for communication

Chapter 29 R Markdown formats

Chapter 30 R Markdown workflow

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bookclub-r_for_data_science's Issues

Tracking down missing slides :)

Hi folks! I'm tagging some presenters that we don't yet have slides for in the repo - we'd love to have them so that others can refer back to them later!

Let me know if there's anything I can do to help!

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