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Lecture: Brian Croxall, BYU Office of Digital Humanities
September 22, 2017
CFP: DHU3, “The Many Faces of Digital Humanities”
October 14, 2017
Published by David Roh at October 10, 2017
Categories
  • Workshops
Tags
  • dataviz
  • tableau

UPDATE II: Resources for the workshop have been appended below.

UPDATE: Please download and install Tableau Public before the workshop begins. You can find the program here: http://public.tableau.com.

Workshop: Data Visualization for the Humanities
Date & Time: Tuesday, Oct. 24th, 2:30PM-4PM
Location: Digital Matters (second floor of the Marriott Library in the Art and Architecture Library)

This 90-minute workshop will introduce basic data visualization methods and data procurement/wrangling to humanities scholars interested in exploring maps, tables, graphs, scatter plots, and more. We will learn how and where to gather humanities data, best methods for structuring data, and several data visualization iterations.

There are no technical prerequisites other than a laptop and with at least 250MB of space free on the hard drive.

Please contact David Roh at david.roh@utah.edu or Rebekah Cummings at Rebekah.cummings@utah.edu with any questions.

Workshop Resources

Binaries

Tableau Public (Windows/MAC)

Datasets

http://github.com/caesar0301/awesome-public-datasets

http://public.tableau.com/en-us/s/resources

http://gis-slcgov.opendata.arcgis.com/

  • Local/National Historic Sites (direct)

https://www.utah.gov/open/

https://fivethirtyeight.com/datalab/the-bechdel-test-checking-our-work/

  • Bechdel Test data (direct)

API (data connector for Tableau Public)

Twitter: http://files.tableaujunkie.com/twittersearch/twitterwebconnect.html

Facebook: http://files.tableaujunkie.com/facebooksearch/userfeedwebconnect.html

Further References/Tutorials

Batch Geo: http://geoservices.tamu.edu/Services/Geocode/

Tableau Junkie: http://tableaujunkie.com/

Tutorials: https://www.tableau.com/learn/training

My Visualizations: https://public.tableau.com/profile/david.r3893#!/

Readings

Odds, Graham. “The Science Behind Data Visualization” (2013)

Bresciani, Sabrinia and Martin J Eppler, “The Risks of Visualization: A Classification of Disadvantages Associated with Graphic Representations of Information” [PDF] (2008)

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