Bibliography

Introduction

Gallon, Kim. “Making a Case for the Black Digital Humanities.” Debates in the Digital Humanities 2016, edited by Matthew K. Gold and Lauren F. Klein, University of Minnesota Press, 2016. https://dhdebates.gc.cuny.edu/read/untitled/section/fa10e2e1-0c3d-4519-a958-d823aac989eb.

Weinberg, Adam. “Data Analytics and the Liberal Arts.” HuffPost, HuffPost, 7 Dec. 2017, www.huffpost.com/entry/data-analytics-and-the-li_b_9721312.

Part 1

Chapter 1.1

Badger, Emily, et al. “Extensive Data Shows Punishing Reach of Racism for Black Boys.” The New York Times, 19 Mar. 2018, www.nytimes.com/interactive/2018/03/19/upshot/race-class-white-and-black-men.html?mtrref=uta.pressbooks.pub&gwh=FB789857491E9D474F261D060136DA29&gwt=pay&assetType=PAYWALL.

“Explore the Dispersal of Enslaved Africans across the Atlantic World.” Slave Voyages, www.slavevoyages.org/.

Kahn, Andrew, and Jamelle Bouie. “The Atlantic Slave Trade in Two Minutes.” Slate Magazine, 25 June 2015, www.slate.com/articles/life/the_history_of_american_slavery/2015/06/animated_interactive_of_the_history_of_the_atlantic_slave_trade.html.

Kramer, Michael J. “What Does Digital Humanities Bring to the Table?” MichaelJKramer.net, www.michaeljkramer.net/what-does-digital-humanities-bring-to-the-table/.

Pickell, Devin. “What Is Data Analytics? An Overview for Beginners.” G2, 26 Mar. 2019, www.g2.com/articles/what-is-data-analytics.

Taylor, Marquis. “Contested Freedom: Free Persons of Color in Savannah, GA, 1823-1842.” Journal of Slavery and Data Preservation , Dec. 2020, jsdp.enslaved.org/fullDataArticle/volume1-issue2-contested-freedom.

Chapter 1.2

Bulao, Jacquelyn. “How Much Data Is Created Every Day in 2021?” TechJury, 6 Aug. 2021, techjury.net/blog/how-much-data-is-created-every-day/.

Saffold, Jacinta. “The Essence Book Project.” https://Jacintasaffold.com/, jacintasaffold.com/the-essence-book-project/.

Thompson, Tyechia. “Baldwin’s Paris.” www.baldwinsparis.com/.

Zeng, Marcia. “Smart Data for Digital Humanities.” Journal of Data and Information Science, 16 Jan. 2017.

Chapter 1.3

Wickham, Hadley . “Tidy Data.” Journal of Statistical Software [Online], 59.10 (2014): 1 – 23. Web. 7 Sep. 2021.

Chapter 1.4

Benjamin Schmidt, Mitch Fraas. “The Language of the State of the Union.” The Atlantic, 5 Jan. 2016, www.theatlantic.com/politics/archive/2015/01/the-language-of-the-state-of-the-union/384575/.

Daniels, Matt. “Outkast, in Charts.” The Pudding, pudding.cool/2017/03/outkast/.

Daniels, Matt. “Rappers, Sorted by the Size of Their Vocabulary.” The Pudding, pudding.cool/2017/02/vocabulary/.

Underwood, Ted. “A Genealogy of Distant Reading.” DHQ: Digital Humanities Quarterly, 2017, www.digitalhumanities.org/dhq/vol/11/2/000317/000317.html.

“The Pudding Explains Ideas Debated in Culture with Visual Essays.” The Pudding, pudding.cool/about/.

Chapter 1.5

Banks, Adam J. “Dominant Genre Emeritus: Why It’s Time to Retire the Essay.” CLA Journal, vol. 60, no. 2, College Language Association, 2016, pp. 179–90, http://www.jstor.org/stable/26355916.

Dykes, Brent. “Data Storytelling: The Essential Data Science Skill Everyone Needs.” Forbes, Forbes Magazine, 20 Dec. 2019, https://www.forbes.com/sites/brentdykes/2016/03/31/data-storytelling-the-essential-data-science-skill-everyone-needs/.

Gates, Henry Louis. The Signifying Monkey: A Theory of African American Literary Criticism 25th Anniversary Edition, Oxford University Press, Oxford, 2014.

Vilanova, John. “Op-Ed: Beyoncé’s GRAMMY Snub and the Glass Ceiling on Black Art.” Los Angeles Times, Los Angeles Times, 13 Feb. 2017, https://www.latimes.com/opinion/op-ed/la-oe-vilanova-grammys-beyonce-adele-glass-ceiling-20170118-story.html.

Part 2

Chapter 2.1

Knaflic, Cole Nussbaumer. Storytelling with Data: The Effective Visual Communication of Information. John Wiley & Sons, 2015.

Chapter 2.2

Arnold, Taylor, and Lauren Tilton. “New Data? The Role of Statistics in DH.” Debates in Digital Humanities, edited by Matthew K. Gold and Lauren F. Klein, University of Minnesota, 2019.

Gupta, Aamodini. “Exploring Exploratory Data Analysis.” Towards Data Science, 29 May 2019, https://towardsdatascience.com/exploring-exploratory-data-analysis-1aa72908a5df,

Hoffman, Chad. “Lesson 3: Basic Descriptive Statistics.” Statistics, 2007, https://www.webpages.uidaho.edu/learn/statistics/lessons/lesson03/3_1.htm.

Chapter 2.3

Zeng, Marcia. “Smart Data for Digital Humanities.” Journal of Data and Information Science, 16 Jan. 2017.

Chapter 2.6

Durcevic, Sandra. “Designing charts and graphs: How to choose the right data visualization types.” The datapine blog, 2 May 2019, https://www.datapine.com/blog/how-to-choose-the-right-data-visualization-types.

Part 4

Chapter 4.1

“Excel Easy.” Excel Tutorial, https://www.excel-easy.com/.

Chapter 4.3

“RefinePro Knowledge Base FOR OPENREFINE.” RefinePro Knowledge Base for OpenRefine, https://kb.refinepro.com/.

Chapter 4.4

“Voyant Tools About.” Voyant Tools Help, https://voyant-tools.org/docs/#!/guide/about.

Chapter 4.5

Roland, Teddy. “Topic Modeling: WHAT Humanists Actually Do with IT.” Digital Humanities at Berkeley, https://digitalhumanities.berkeley.edu/blog/16/07/14/topic-modeling-what-humanists-actually-do-it-guest-post-teddy-roland-university.

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The Data Notebook by Peace Ossom-Williamson and Kenton Rambsy is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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