Schedule

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

Date Time Room Content Slides Code Data Assignment
Oct 06, 2025 10:00-12:00 TC.3.06 Introduction
Oct 13, 2025 10:00-12:00 TC.5.28 Data
Oct 20, 2025 09:45-11:45 TC.3.07 Visualization
Oct 27, 2025 10:00-12:00 TC.4.12 Income · Geometries
Nov 03, 2025 10:00-12:00 TC.5.15 Wealth · Scales
Nov 10, 2025 10:30-12:30 TC.0.03 Mobility · Colors
Nov 17, 2025 10:00-12:00 TC.3.11 Growth · Labels
Nov 24, 2025 10:00-12:00 D1.1.074 Redistribution · Maps
Dec 01, 2025 10:00-12:00 TC.3.03 Policy · Themes
Dec 15, 2025 10:00-12:00 EA.6.026 Hackathon
Jan 19, 2026 10:00-12:00 TC.4.17 Student presentations
Jan 26, 2026 10:00-12:00 TC.5.12 Student presentations

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.

Homework 1

  1. Install the latest R version (> v4.5.0)

  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 13, 2025 at 9 a.m.

Homework 2

Please submit your chart before November 03, 2025 at 9 a.m. The data for this assignment is available here:

Homework 3

Please submit your chart before November 17, 2025 at 9 a.m. The data for this assignment is available here:

Homework 4

Please submit your chart before December 01, 2025 at 9 a.m. The data for this assignment is available here: