-
Notifications
You must be signed in to change notification settings - Fork 10
Session 9: Data Visualization
Susanne Heydecke edited this page Dec 9, 2022
·
14 revisions
Date: Thursday, November 24, 2016, 16h00 (UK time)
Session coordinators: Jonathan Blaney, Sarah Milligan (Institute of Historical Research) and Jane Winters (School of Advanced Study)
YouTube link: https://youtu.be/vxrrjmT8mig
- Introduction (5 mins, Jane)
- Critiquing visualisation (20 mins, Jane, Jonathan, Sarah)
- Visualizing data with Tableau Public (10 mins, Sarah)
- Outline of other tools (20 mins, Jonathan)
- Visualisation issues (5 mins, Jane)
- The exercise (5 mins, Gabby)
- Drucker, Johanna (2011). "Humanities Approaches to Graphical Display." Digital Humanities Quarterly 5.1. Available: http://www.digitalhumanities.org/dhq/vol/5/1/000091/000091.html
- Tufte, Edward R. (20??). "PowerPoint Does Rocket Science: Assessing the Quality of Credibility of Technical Reports." Available: http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001yB
- Yau, N. (2013). Data points: Visualization that means something. United States: John Wiley & Sons.
- Tufte, E.R. (2001). The Visual Display of Quantitative Information. 2nd edn. Cheshire, Connecticut: Graphic Press.
- Seeing Data (2016). Developing Visualisation Literacy. Available: http://seeingdata.org/developingvisualisationliteracy/
tba
- Using either one of the datasets you created for the data modelling or structuring exercises in the last few weeks, or a geographic dataset from earlier in the semester, or another dataset of your own or from the sample data below, load at least two tables of data in Tableau Public, and see what default settings and datatypes are suggested by the app.
- Try to match some fields and produce two or three different visualizations, making notes of the informative and persuasive aspects of each.
- Now modify any datatypes that were not recognized by default, and see if you can improve any other settings to achieve more appropriate visualizations.
- Experiment with several variations, and finally choose two visualizations to export and share with the class.
- Prepare a short report on the pros and cons of your two visualizations, and give suggestions for improvements. Compare with the outcomes of other students' work.