Week 10: Data sets and information visualization
Summary
This week we will explore the topic of data, data sets (especially those related to comics), and data papers
Weekly Learning Objectives
- articulate and explain fundamental concepts of data, particularly from a humanities point of view.
- think critically about data and its construction and aggregation into datasets
- explore and evaluate datasets
- clean and transform data
Define and identify the following terms
- data
- datasets
- structured data
- unstructured data
- data paper
Before class: Readings, resources, and tasks
Read
- Owens, T. (2011). Defining Data for Humanists: Text, Artifact, Information or Evidence? Journal of Digital Humanities. Journal of Digital Humanities, 1(1). https://journalofdigitalhumanities.org/1-1/defining-data-for-humanists-by-trevor-owens/
- Schöch, C. (2013). Big? Smart? Clean? Messy? Data in the Humanities. Journal of Digital Humanities, 2(3), 2–13. (See Canvas)
- Sosulski, K. (2019). The Data. In Data visualization made simple: Insights into becoming visual (pp. 72–96). Routledge. https://doi-org.proxyiub.uits.iu.edu/10.4324/9781315146096
- Swinburne data paper draft (See Canvas)
- Shroff, L. (2023). Datasets as Imagination. Reboot. https://joinreboot.org/p/artist-datasets
Download
- OpenRefine
- NVivo; you will have to make an account with QSR
In class
- Discussion
- Presentation of NVivo, regular expressions (regex), and OpenRefine
- NVivo walk through
- Regex walk through
- OpenRefine demo and Programming Historian OpenRefine Tutorial
- Choice of 2 of 3 labs; labs due to Canvas Week 9 Lab assignment