Schedule

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

Date Time Room Content Slides Code Data Assignment
Oct 07, 2024 10:00-12:00 TC.4.02 Introduction
Oct 14, 2024 10.30-12.00 TC.4.18 Data
Oct 21, 2024 10.30-12.00 TC.4.18 Visualization
Oct 28, 2024 10:00-12:00 TC.3.07 Income · Geometries
Nov 04, 2024 10:00-12:00 D2.0.392 Wealth · Scales
Nov 11, 2024 10:00-12:00 D2.0.030 Mobility · Colors
Nov 18, 2024 10:00-12:00 TC.5.12 Growth · Labels
Nov 25, 2024 10:00-12:00 TC.5.18 Redistribution · Maps
Dec 02, 2024 10:00-12:00 TC.4.14 Policy · Themes
Dec 09, 2024 10:00-12:00 TC.3.07 Student presentations
Dec 16, 2024 10:00-12:00 TC.4.14 Student presentations
Jan 13, 2025 10:00-12:00 TC.3.07 Hackathon

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 (> v4.4.0)

  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 14, 2024 at 9 a.m.

Homework 2

Please submit your chart before November 04, 2024 at 9 a.m. The data for this assignment is available here:

Homework 3

Please submit your chart before November 18, 2024 at 9 a.m. The data for this assignment is available here:

Homework 4

Please submit your chart before December 02, 2024 at 9 a.m. The data for this assignment is available here: