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Data Visualization with Other Tools

Workshop 31 - Winter Semester 2026-27

Field Details
Date 2 December 2026
Time 14:00 - 15:30
Location House of Prominence, Attic (Top floor), Luxemburger Str. 299, Cologne
Speaker Job Schepens
Prerequisites General familiarity with data visualization concepts
Materials status Upcoming workshop — materials will be added before the session.
Slides / recording Slides and examples will be linked here once available.

Overview

Introduction to alternative data visualization tools and their applications in research.

While ggplot2 is standard for R users, many other powerful visualization tools exist across Python, the web, and standalone applications. This workshop surveys complementary visualization frameworks, highlighting when and why you might choose them for specific types of data, interactive exploration, or collaborative sharing.

Topics Covered

  • Python Data Visualization: Overview of matplotlib, seaborn, and plotnine (the grammar of graphics in Python)
  • Interactive Visualizations: Building dynamic charts with plotly in R and Python
  • Web-Based & GUI Tools: No-code and low-code visualization platforms (RAWGraphs, Datawrapper, Flourish)
  • Network & Relational Data: Visualizing networks, trees, and hierarchical relationships (Gephi, igraph, ggraph)
  • Spatial & Geographic Data: Maps and geospatial visualizations for linguistic and survey data
  • Choosing the Right Tool: Trade-offs between reproducibility, interactivity, speed, and presentation polish

Session Details

  • Date: 2 December 2026
  • Time: 14:00 - 15:30
  • Location: House of Prominence, Attic (Top floor), Luxemburger Str. 299, Cologne
  • Speaker: Job Schepens

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