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Day 2: Wednesday, May 29, 2019
Data and Mapping
9:00 am Data and the Humanities Nancy Um 11:00 am Coffee Break 11:15 am Small Groups Data Structuring Nancy Um Your data with Tableau Jason Tercha Metadata Schema Jennifer Embree 12:15 pm Lunch and software check 1:15 pm ArcGIS Online Jason Tercha 3:15 pm Coffee break 3:30 pm Small Groups Consult with GIS Core Facility Kevin Heard Georectification Nancy Um More ArcGIS online Brad Skopyk 4:30 pm Wrap up, exit tickets, and software check
- Miriam Posner, “Humanities Data: A Necessary Contradiction,” June 25, 2015, Miriam Posner’s Blog.
- Karl W. Broman and Kara H. Woo, “Data Organization in Spreadsheets,” The American Statistician 72:1 (2018): 2-10. [Day 2 readings folder]
- Hadley Wickham, “Tidy Data,” Journal of Statistical Software 29:10 (August 2014). [Day 2 readings folder]
- Jen Jack Gieseking, “Where Are We? The Method of Mapping with GIS in Digital Humanities,” American Quarterly 70:3 (2018): 641-648. [Day 2 readings folder]
- Ian Gregory, “Exploiting Time and Space: A Challenge for GIS in the Digital Humanities,” in The Spatial Humanities: GIS and the Future of Humanities Scholarship, ed. David J. Bodenhamer, John Corrigan, and Trevor M. Harris (Bloomington: Indiana University Press, 2010): 58-75. [Day 2 readings folder]
Links and Resources
- Day 2 Collaborative Notes
- Tableau Desktop
- For those who are new to Tableau, visit the Tableau trial site. Insert university email address and click "Download Free Trial" in orange. Follow the steps to install the software.
- For those who have already downloaded Tableau Desktop on a trial basis, reactivate the software using this product key: TCX6-41E6-2400-7476-5716. This key will allow you to use the software for another few weeks.
- For a year-long free academic subscription to Tableau, visit the Tableau Academic page, and follow the instructions for students or instructors. A few days after the form is submitted, a product key to extend the subscription will be sent by email.
- Open Refine
- ArcGIS online (follow these instructions to sign in)
Day 2 exit ticket, to be completed at the end of the day
Data and the Humanities
Led by Nancy Um
This session discusses some of the basics of data-driven research in the humanities. It includes a discussion of methodology and approaches to data and then moves through the steps of discovering, structuring, cleaning, and spatializing data. It will include a hands-on workshop component using the data analysis and visualization software Tableau.
Navigate to Slave Revolt in Jamaica, 1760-61. For more information about this project, see Vincent Brown, "Mapping a Slave Revolt: Visualizaing Spatial History through the Archives of Slavery," Social Text 125 (December 2015): 134-141.
Click on "View the Map" in the upper left corner. Run the animation. Consider the following questions.
- What kind of data does the project draw on?
- How was that data organized and structured to become legible through an interactive map?
- What kinds of questions does this project inspire?
- How can the researcher (who might come from any field) use this project?
Data Driven MethodsThis session explores the process of data visualization through five key steps:
- Data Discovery
- Data Structuring
- Data Cleaning
- Spatialization and Geo-coding
- Data Visualization
Sample Datasetsalem_GC.csv (download)
Derived from the Salem Witch Database
- Batch Geocoder for Journalists
- Getty Thesaurus for Geographic Names
- Geocode by Awesome Table (free add-on through Google Sheets)
Public Presentation on Tableau PublicStar Wars Sentiment Analysis by Adam McGann on Tableau Public
Department of Art History Visualizations by Nancy Um on Tableau Public
Challenge Datasetolympics.csv (download)
Further Study and Training