Schedule

In this table you find the dates and contents of all classes.

Date Time Room Content Slides Code Data Assignment
Oct 09, 2023 10:00-12:00 TC.3.10 Data
Oct 16, 2023 10:00-12:00 TC.3.10 Visualization
Oct 23, 2023 10:00-12:00 TC.3.10 Geometries
Oct 30, 2023 10:00-12:00 Online Colors
Nov 06, 2023 10:00-12:00 TC.3.10 Labels
Nov 13, 2023 10:00-12:00 TC.3.10 Patents
Nov 20, 2023 10:00-12:00 TC.3.10 Patent Data
Nov 27, 2023 10:00-12:00 TC.3.10 Themes
Dec 04, 2023 10:00-12:00 TC.3.08 Maps
Dec 11, 2023 10:00-12:00 TC.3.06 Presentations (1-4, 13, 15-20)
Dec 18, 2023 10:00-12:00 TC.3.06 Presentations (5-12, 14)

Assignments

Assignment [1] provides the setup of the R infrastructure that is required in this course. There are no points for this assignment. Assignments [2] to [4] are recreations of examplary figures provided below. These examples are related to figures that are discussed in class. Students should then try to reproduce the plots at home and improve their individual coding skills. The raw data for the figures are available as *.csv files below. You should be able to save your chart as PNG file via ggsave("assignment.png", width = 8, height = 5, dpi = 320, bg = "white") and adapt the parameters according to your needs.

Homework 1

  1. Install the latest R version (v4.2.2)

  2. Install the latest version of RStudio Desktop

  3. Open RStudio, copy the following code into the console and execute: install.packages(c("tidyverse", "rmarkdown", "scales", "lubridate", "colorspace", "devtools")); sessionInfo()

  4. Click on Help > About RStudio

  5. Make sure that both the R version (Console) and the RStudio version are visible, take a screenshot and upload it to the learning platform before October 16, 2023 at 9 a.m.

Homework 2

Please submit your chart before October 23, 2023 at 9 a.m. The data for this assignment is available here:

Homework 3

Please submit your chart before October 30, 2023 at 9 a.m. The data for this assignment is available here:

Homework 4

Please submit your chart before November 06, 2023 at 9 a.m. The data for this assignment is available here: