Introduction to RLaajuus (1 cr)

Learning objectives

The course aims at providing the basic knowledge of the R software and of the R studio IDE. A second objective is to teach students how to use R with the aim of cleaning and exploring different types of datasets. Overall, this shall form the basic knowledge for an empirical approach to data analysis.

Contents

1) Introduction to the R software and to R studio
2) Data types and data structures in R
3) Basic programming with R
4) Working with data: the tidyverse library
5) Working with official EU data: the eurostat library
6) Plotting: the ggplot2 library

Starting level and linkage with other courses

No specific prerequisite is required. Before the start of the course you shall install two pieces of software: 1) R, the actual programming language (https://cran.r-project.org) and 2) RStudio, an excellent IDE for working with R (https://www.rstudio.co m). You must install R before using RStudio.

Assessment criteria, approved/failed

When the implementation type of the course is CONTACT, ONLINE or BLENDED it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25 %, your grade will be lowered by one. If you are absent more than 50 %, the course is failed.

Evaluation grade: 'H' (Approved)