Literature (reading required)
- Tufte ‘The visual display of information’ (2001).
- Hanneman & Riddle “Introduction to social network methods- Chapter 1” (2005).
- Hanneman & Riddle “Introduction to social network methods- Chapter 9, Ego Networks” (2005).
An interesting backgroundarticle about the Netvizz-Application: Bernhard Rieder, Studying Facebook via Data Extraction: The Netvizz Application (Amsterdam).
Session 2 - Friday 3 October 2014 (T18-33)
An important topic in data science is data visualisation. Having seen some examples in the first session, now it is time to look at some theories and to provide some hands-on tips for making visualisations.
- Overview of open and online tools (Vizter, ManyEyes, and some more).
- Examples of visualisations will be analysed and linked to theories of visualisation.
- Continuing and/or adding on data acquired in the first session; we will try out different visualisations according to several principles of visualisations (in groups or individually). Students will be challenged to convert findings into presentable formats (designing data, if you will) and to show-and-tell the results.
- Explaining the (general) process of professional data visualisation and data design.