Introduction to creating meaningful graphics in R. Participants learn how to visualize data using the powerful ggplot2-package instead of base graphics. After learning the ggplot2 syntax this includes univariate and multivariate graphs as well as maps.
| Instructor | Lisa Hanzl/ Alexander Schönefeld |
|---|---|
| Number of Places | about 25 participants (fu:stat reserves the right to rescedule or cancel the course if the number of participants lies below 15) |
| Registration | → Register online |
| Registration Mode |
General information about our course offers (questions about the group of participants, registration or cancelation, about payment, organsation, certificates of participation etc.) you can find here. |
| Participation Fee | 60 € for students (incl. PhD), 120 € for employees, members of Potsdam Graduate School please register through the PoGS website, Financial support of Dahlem Research School: Doctoral candidates of the Berlin University Alliance can participate in this course cost free as long as budget lasts. |
| Room | FB Wirtschaftswissenschaft, Garystr. 21, 14195 Berlin PC-Pool 1 |
| Time |
Wednesday, March 12th, 2025, 9:00 a.m. to 5:00 p.m. |
Student Profile
Students, PhD candidates and academic staff from all universities.
Requirements
Basic knowledge of descriptive statistics at the level of our courses “Statistik-Kompakt” or “’Statistik-Grundlagen”. Basic knowledge of R programming at the level of our course "R-Grundlagen".
Description:
R is a free to use open source alternative to commercial statics solutions like SPSS, SAS, STATA, etc. It is a program, which is widely used in the scientific community, because its scope of functionality is huge and of a very high standard.
Additionaly to the base graphics in R, there exist other possibilites within the programming environment to create graphics. These alternatives provide more options for users in terms of depicting information in a consise and estetic way.
This course introduces the tidyverse-syntax with a focus on the package ggplot2. Pariticipants will learn how to create and refine a multitude of graphs to be able use them in publication. This course is accompanied by exercise sessions, that will help participants to apply their new knowledge directly.
Topics:
- ggplot2-syntax and the tidyverse
- Univariate Graphics
- Multivariate Graphics
- Display of information using maps
Zeit & Ort
12.03.2025 | 09:00
FB Wirtschaftswissenschaft, PC-Pool 1
Garystr. 21
14195 Berlin