Type: lecturenote

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Histories of Data Visualisation

Listener’s Notes:

  • Date: 20.10.2025 / Wednesday
  • Paper: Friendly, Michael. ‘A Brief History of Data Visualization’. Pp. 15-49. In Handbook of Data Visualization, edited by Chun-houh Chen, Wolfgang Härdle, and Antony Unwin. Springer, 2008.
  • Main arguments and concepts:
    • Data visualization is not a modern invention, but have deep roots into the history of map-making, geometry, and early statistics.
    • The history is characterized by distinct periods, there is an evolution.
  • Questions:
  • Notes:
  • Key areas & problems:

  • Date: 20.10.2025 / Wednesday
  • Paper: Chapter “Escaping Flatland” (pp. 185-198) in: A History of Data Visualization and Graphic Communication by Michael Friendly and Howard Wainer (2021)
  • Main arguments and concepts:
  • Questions:
  • Notes:
    • The book as a whole is “A comprehensive history of data visualization, its origins, rise and effects on the ways we think”
    • An examination of dimensions
      • 1D → 1.5D → 2D → 3D
      • Visual thinking
      • Maps are 2D, but they also show 3rd dimension (tophographic, contour maps)
      • there was not a agreed method to calculate level curves at first —
        • “axonometric projection” was the big step towards standardization
  • Key areas & problems:

Lecture Notes:

  • About Presentations:
    • Clear structure is important
    • Having authors in the beginning of the presentation gives credibility
    • Try to come up with a narrative, doesn’t have to be a story, but rather a progress
    • Visual slides
    • Spent time to explain obscure
    • In the discussion part: Go with a simple question, and try to help people by giving an examples