This term fu:stat offers the course “Data Visualization in R”. This course can stand alone and might be seen as a complement to traditional statistical courses.
The main learnings from this course are:
|Instructor||Felix Skarke/ Flavio Morelli|
|Number of Places||about 25 participants (fu:stat reserves the right to reschedule or cancel the course if the number of participants lies below 15)|
|Registration||→ Register online|
|Participation Fee||60 € for students, 120 € for employees, for members of Potsdam Graduate School (20 € PhD-students, 30 € Postdocs), PhD-students of a member institution of the Berlin University Alliance can participate free of charge.|
|Room||FB Wirtschaftswissenschaft, Garystr. 21, 14195 Berlin PC-Pool 2 (basement)|
Thursday, April 2, 2020 9:00 a.m. to 5:00 p.m.
Students and employees of all universities
Participants are able to independently perform simple analyses in R and are familiar with the usual data structures, e.g. vectors, data.frames. Statistical knowledge is not necessarily required, but allows participants a deeper understanding of some of the presented visualizations.
The course provides a first insight into R as a tool for data visualization. It focuses on the package ggplot2 which is an implementation of “The Grammar of Graphics“ (DOI: https://doi.org/10.1007/0-387-28695-0). The course starts with a short introduction to the necessary data structures and transformations. Afterwards, the semantics of ggplot are explained and first simple plots are created and iteratively customized. The second block consists of more complex plots, and more dimensional visualizations. At last the creation of maps is demonstrated in ggplot. Each block consists of a presentation/coding demonstration and an exercise.