In most quantitative research, data analysis constitutes only the last part of a project. Before analysing data, we need to reshape, merge, filter, or recode our data. Therefore, reproducible data preparation and visualisation are increasingly important and necessary tools for researchers in social science disciplines. In this interactive workshop, participants will apply some of the essential functions for data transformation, and learn how to create and modify various plots. More specifically, after a general introduction to the “tidy data” approach, participants will learn how to use the dplyr andtidyr R packages for data wrangling and the ggplot2 package for data visualisation.

The number of places is limited, and places are offered on a first-come-first-served basis. If you would like to attend the workshop, please submit the application form (opens in a new window)here by Thursday 13 February 2020.

Requirements: Basic knowledge of the R statistical programming language; a charged laptop with R and RStudio installed.