Schedule

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

Date Time Room Content Slides Code Data Assignment
Mar 06, 2023 10:00-12:00 TC.4.15 Introduction
Mar 13, 2023 10:00-12:00 TC.4.15 Data
Mar 20, 2023 10:00-12:00 TC.4.15 Visualization
Mar 27, 2023 10:00-12:00 D4.0.022 Growth · Geometries
Apr 17, 2023 10:00-12:00 TC.3.07 Inflation · Colors
Apr 24, 2023 10:00-12:00 TC.3.06 Labour · Labels
May 08, 2023 10:00-12:00 TC.3.11 Income · Scales
May 15, 2023 10:00-12:00 D4.0.127 Wealth · Themes
Jun 05, 2023 10:00-12:00 D4.0.127 Mobility · Maps
Jun 12, 2023 10:00-12:00 TC.3.07 Climate · Facets
Jun 19, 2023 10:00-12:00 D4.0.127 Student presentations
Jun 26, 2023 10:00-12:00 D4.0.127 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 (v4.2.2)

  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 March 13, 2023 at 9 a.m.

Homework 2

Please submit your chart before April 24, 2023 at 9 a.m. The data for this assignment is available here:

Homework 3

Please submit your chart before May 15, 2023 at 9 a.m. The data for this assignment is available here:

Homework 4

Please submit your chart before June 12, 2023 at 9 a.m. The data for this assignment is available here: