The workshop “Applied Data Visualization with R” introduces students to the theory and methods underlying data visualization. Data analysts face an ever-increasing amount of data (→ “big data”). Rather revolutionary technological developments allow researchers to visually engage with data in unprecedented ways. Hence, data visualization is one of the most exciting fields in data science right now. In this workshop, students acquire the skills to visualize data in R both for exploratory purposes as well as for the purpose of explanation and presentation. We'll rely on R, the most popular statistical programming environment when it comes to data visualization, and we'll make use of popular R packages such as ggplot2 and plotly. Besides creating static graphs we'll also explore interactive graphs and discuss how interactive visualization may revolutionize how we present data & findings. The workshop is based on the course script Applied Data Visualization.

Regular R users who are interested in visualizing data to communicate their findings.

By the end of the course, participants will…

 

Basic knowledge of R (and R packages such as dplyr), either because of previous work in R or through self-study, e.g. on DataCamp (access to Datacamp is organized for the course duration). We'll rely on R and Rstudio in the seminar.