Chapter 2 Schedule
2.1 Lecture 1: Visualisation
2.1.1 Week 8
February 22, 2021 - February 26, 2021
2.1.2 Preparation
Before class you should have
- installed the software
- cloned this repo on your computer
- finished datacamp course “Introduction to the Tidyverse”
2.1.3 In class
In class we will go through the notebook of lecture 1
2.2 Lecture 2: Data wrangling 1
2.2.1 Week 9
March 1, 2021 - March 5, 2021
2.2.2 Preparation
Before class you should have
- finished datacamp course “Introduction to R”
2.2.3 In class
In class we will go through the notebook of lecture 2
2.3 Lecture 3: Data wrangling 2
2.3.1 Week 10
March 8, 2021 - March 12, 2021
2.3.2 Preparation
- downloaded some data
- made your own notebook with some data wrangling and a plot
The aim of this preparation is to practice with the skills required until now. This should be a good preparation for the exam with respect to the basis programming skills.
2.3.3 In class
In class we will have some time to answer your questions with respect to your prepared notebook.
Furthermore, we will go through the notebook of lecture 3.
2.4 Lecture 4: Functions and R Markdown
2.4.1 Week 11
March 15, 2021 - March 19 2021
2.4.2 Preparation
For a super compact introduction to R Markdown, watch This 1-minute video.
Got that? No worries, we go over it step by step in the R notebooks.
“A reproducible workflow” by Ignasi Bartomeus and Francisco Rodríguez-Sánchez (https://youtu.be/s3JldKoA0zw) is a 2-min video that looks artistic but also shows very common and practical problems in data analysis, and how R markdown solves these.
2.4.3 In class
In class we will go through the notebooks of lecture 4. First is the functions notebook, then the R Markdown notebook (that includes a Markdown refresher notebook as exercise).
2.5 Lecture 5: Generating data and some statistics
2.5.1 Week 12
March 22, 2021 - March 26, 2021
2.5.2 Preparation
Nothing.
2.5.3 In class
In class we will go through the notebook of lecture 5.