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• 1 media/Screenshot.jpg media/DHRILogoTwitter.png media/Screenshot.jpg 2019-03-23T15:17:59-07:00 Day 2: Wednesday, May 29, 2019 55 Data and Mapping plain 2019-05-25T15:06:21-07:00

  Schedule

  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

  Readings

  • 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)

  Exit Ticket

  
  Day 2 exit ticket, to be completed at the end of the day
• 1 media/DHRILogoTwitter.png 2019-04-21T15:00:46-07:00 Data and the Humanities 18 Led by Nancy Um plain 2019-05-27T18:42:16-07:00 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. 

  Sample Project

  
  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 Methods

  This session explores the process of data visualization through five key steps: 
  • Data Discovery
  • Data Structuring
  • Data Cleaning
  • Spatialization and Geo-coding
  • Data Visualization

  Sample Dataset

  salem_GC.csv (download)
  Derived from the Salem Witch Database

  Geocoding Tools

  • Latlong.net
  • Batch Geocoder for Journalists
  • Getty Thesaurus for Geographic Names
  • Geocode by Awesome Table (free add-on through Google Sheets)

  Public Presentation on Tableau Public

  Star Wars Sentiment Analysis by Adam McGann on Tableau Public
  Department of Art History Visualizations by Nancy Um on Tableau Public

  Challenge Dataset

  olympics.csv (download)

  Further Study and Training

  • Lincoln Mullen, "Working with Spatial Data," Spatial Humanities Workshops.
  • Doing Digital Scholarship, SSRC labs, self-guided tutorials
    • Thinking about Data
    • Doing Basic Visualizations
  • Programming Historian Lessons (in English, Spanish, and French)