Data Analysis and Visualization using R
(DAVuR)
Course code: BFVH24DAVUR

This course teaches the fundamentals of data analysis, data exploration and data visualization using the programming language R, and in particular the set of packages of the Tidyverse. The course program lists what the topics for each lesson are. Besides this, it serves as a reference for the resources on each topic: eBook chapters, presentations, videos and exercises. This makes it easy to take the course in a self-paced fashion as well.
All videos are accessible via the "Video channel" link in the navbar.

Course eBook

The eBook for this course. The topics are discussed more elaborate than the presentations. It also holds the course exercises.

Datasets

Link to the "datasets" repository on github that is referred to from within the exercises.

The Tidyverse

Overview of the tidyverse

R plot parameters

The parameters you can use for modifying the look of a plot

R cheat sheet

A cheat sheet for R

Presentation 1: Toolbox

A brief overview of the tools in the R toolbox: R, RStudio, RMarkdown and Swirl.

Presentation 2a: Basic R

The basic datatypes and functionality of R are explored.

Presentation 2b: Basic R plotting

A first iteration of some plotting techniques.

Presentation 3: Complex Datatypes

You will get to know the more complex of the R data types: Factor, List, Dataframe.

Presentation 4: Functions

An overview of the most important functions from base R is presented.

Presentation 5: Scripting

This presentation deals with creating custom functions and scripts.

Presentation 6: Dataframe manipulations

All functions and techniques used fo manipulating dataframes (and lists) are discussed. These include 'with', 'subset', 'apply', 'aggregate', 'split'.