Lectures

Authors
Affiliation
Modified

Thursday, 22 Jan 2026 10:51

Date Title Subtitle Presenter
18 Feb 2026 Data visualisation guidelines Why, what, how Marek Ostaszewski
25 Feb 2026 Plotting data ggplot, part 1 Roland Krause
4 Mar 2026 Formatting numbers Notation and tables Roland Krause
4 Mar 2026 Data visualisation with Plotly Exploratory analysis Roland Krause
11 Mar 2026 Exploratory data analysis Amounts, small multiples, heatmaps Roland Krause
11 Mar 2026 Distributions Associations, correlation, PCA Roland Krause
18 Mar 2026 Colours Colour spaces and colour use Roland Krause
18 Mar 2026 Data visualisation in Python Matplotlib and Seaborn Roland Krause
25 Mar 2026 Ordinal data Integer values from limited ranges Roland Krause
25 Mar 2026 Trends Line charts Roland Krause
1 Apr 2026 Geographical data Maps Cédric Laczny
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Release

Lectures are made available over the semester and before the lecture starts.

Code chunks

Any code chunk in the lecture can be copied using the clipboard icon 📋 on each top-right corner. Learners are encouraged to follow lectures in their own session.

Shortcuts

  • → / SPACE / N, next slide

  • ← / P, previous slide

  • Home returns to the first slide

  • End go to the last slide

  • Ctrl + click to zoom in

  • o / O to display outline of all slides

  • f / F go to fullscreen ( ESC to undo)

  • q to convert mouse to presentation pointer

  • e: PDF Export Mode (see below)

More details in the Quarto presenting slides documentation.

PDF export

TipTip

This export works best in Chrome or Chromium.

Official documentation