Embedded Files
Schedule
Schedule
10-12 pm Data Viz with Tableau (presentation link)
Session links:
"Slave Revolt in Jamaica: 1760-1761, A Cartographic Narrative," http://revolt.axismaps.com.
"A Sort of Joy," the Office of Creative Research in collaboration with the Elevator Repair Service, performed at MOMA, July 2015, on Vimeo: https://vimeo.com/170201886
Tableau Public Links:
12-1 pm LUNCH - Spatial Humanities Working Group with Brad Skopyk, Organizer, SHWG
1-3 pm Intro to Text Analysis (presentation 1 link and presentation 2 link)
Link to Voyant: https://voyant-tools.org/
Links for analysis:
https://docs.google.com/document/d/1Fs4PkWDWj5fzNLBLLTLiMm7-I7XhI5fTeFG0-3bgZgo/edit?usp=sharing (for option 2)
https://data-feminism.mitpress.mit.edu/ (for option 3)
See Downloads for Option 4
3-4 pm Optional Session: OpenRefine for data cleaning (presentation link)
Installations for Day 3
Individual Consultations
Collaborative Notes
Collaborative Notes
Downloads
Downloads
Tableau: For data analysis, visualization, and mapping
Tableau: For data analysis, visualization, and mapping
Click here for access to the Tableau website
Click on the orange button for "Download Tableau Desktop." DO NOT download "Tableau Prep."
You will be prompted to insert your email address. Use your binghamton.edu email, not a personal email address. Click the orange button "Download Free Trial," following the prompts provided by the installer.
When prompted for a product key, insert TCXJ-7180-AD10-847C-9BE7. This key will provide access to Tableau throughout the month of August.
A longer license can be activated by following these directions:
Faculty can continue using Tableau by individually requesting a teaching or research license: https://www.tableau.com/academic/teaching
Students can also continue using Tableau after the class is over by individually requesting their own one-year license, click the black button 'Free Student License' in the upper right corner: https://www.tableau.com/academic/teaching
After graduating, you can still use Tableau for free, through the Tableau Public version: https://public.tableau.com/s/
Open Refine: For data cleaning
Open Refine: For data cleaning
Optional, only for those who intend to attend the 3-4 pm session
Navigate to https://openrefine.org/download.html
It is recommended that you download OpenRefine version 3.4.1
Select the installation that is appropriate for your operating system. If you are a Windows user, it is recommended that you select the option 'Windows kit with embedded Java'.
For Mac Users, select the 'Mac kit', which will allow you to download the installer, 'openrefine-mac-3.4.1dmg'. In order to run the installation, you should right click on the icon and select 'Open'. It may generate the message that you see on the right, indicating that the developer is not identified. Click the 'Open' button, on the bottom left, even though the button is not highlighted. Because OpenRefine is an open source application, one needs to engage in extra steps to install it.
The first time that you open the application, right click on the blue diamond icon and select 'Open'. It will ask you to confirm that you wish to use this application, select 'Open' again. OpenRefine will open in your browser.
Datasets
Datasets
paintings-2021-07-11-CL.csv (for the A.M. session)
Download the file as a .csv by navigating to the menu ribbon located within your browser window and selecting File > Download > Comma-Separated Values. Save it to your desktop.
NJshipwrecks.csv (for the optional 3 p.m. sessions):
Download the file as a .csv by navigating to the menu ribbon located within your browser window and selecting File > Download > Comma-Separated Values. Save it to your desktop.
Text Corpus for Voyant Practice [extra practice, time permitting]
Text Corpus for Voyant Practice [extra practice, time permitting]
Download this folder as a .zip file by clicking on the folder name "Voyant-DHRI-2021" in the top navigation toolbar and selecting Download. Save it to your Desktop.
Corpus developed from Kaggle open datasets: https://www.kaggle.com/xvivancos/star-wars-movie-scripts
Readings and Preparation
Readings and Preparation
REQUIRED READINGS and PREPARATION for Tuesday, August 10 (read before arriving at the session)
Catherine D'Ignazio and Lauren F. Klein, "Introduction: Why Data Science Needs Feminism" and "Chapter 1: The Power Chapter," Data Feminism (Cambridge: MIT Press, 2020). (Fully open access version https://data-feminism.mitpress.mit.edu, scroll down to the bottom of the page for access to chapters)
Katie Rawson and Trevor Munoz, "Against Cleaning," Debates in the Digital Humanities 2019, https://dhdebates.gc.cuny.edu/read/untitled-f2acf72c-a469-49d8-be35-67f9ac1e3a60/section/07154de9-4903-428e-9c61-7a92a6f22e51
Vincent Brown, read the article and consult the associate digital project
"Mapping a Slave Revolt: Visualizing Spatial History through the Archives of Slavery," Social Text 125 (December 2015): 134-141. (link to PDF)
"Slave Revolt in Jamaica: 1760-1761, A Cartographic Narrative," http://revolt.axismaps.com.
Ted Underwood, "Seven ways humanists are using computers to understand text.," Ted Underwood (blog), August 14, 2012, updated June 8, 2015, https://tedunderwood.com/2012/08/14/where-to-start-with-text-mining/
A. Miller, "Text mining digital humanities projects," Journal of Web Librarianship (Jul-Sep 2018), 12(3), 169-197: (link to access through Binghamton University Libraries) *requires log-in with your Binghamton account information*
RECOMMENDED READINGS and PREPARATION
Matthew Lincoln, "Tidy Data for the Humanities," Matthew Lincoln, PhD, (blog), March 26, 2020, https://matthewlincoln.net/2020/05/26/tidy-data-for-humanities.html
Examples of Voyant in Research (Gallery): https://voyant-tools.org/docs/#!/guide/gallery
Deepanshu Bhalla, "Text mining basics for beginners: text mining terminologies," Listen Data, September 2015, https://www.listendata.com/2015/09/text-mining-basics.html
Lisa Marie Rhody, "Why I dig: feminist approaches to text analysis," Debates in the Digital Humanities, 2016, https://dhdebates.gc.cuny.edu/read/untitled/section/508c8664-15c8-4262-a72a-e49299873d11#ch46 (fully open access version https://dhdebates.gc.cuny.edu/projects/debates-in-the-digital-humanities-2016 with public annotations added and viewable)
FURTHER READING
Voyant Documentation (for continued learning): https://voyant-tools.org/docs/#!/guide/about
Heather Froelich, "Corpus Analysis with AntConc," The Programming Historian, June 6, 2019, updated November 5, 2020, https://programminghistorian.org/en/lessons/corpus-analysis-with-antconc
Ryan Cordell, "‘Q i-jtb the Raven’: Taking Dirty OCR Seriously," Book History (2017): 188-225, via https://ryancordell.org/research/qijtb-the-raven/
Jer Thorp, Living in Data (Farrar, Strous, and Giroux 2021). (being ordered for the Binghamton University Libraries)
Hadley Wickham, "Tidy Data," Journal of Statistical Software 59 (2014), https://www.jstatsoft.org/article/view/v059i10
Safiya Umoja Noble, Algorithms of oppression: how search engines reinforce racism, (2018): ebook available through Binghamton University Libraries
Page updated
Report abuse