Links by Chapter

Part 1

Chapter 1.1

• Contested Freedom: Free Persons of Color in Savannah, GA, 1823-1842 (https://jsdp.enslaved.org/fullDataArticle/volume1-issue2-contested-freedom)
• What Does Digital Humanities Bring to the Table? (https://www.michaeljkramer.net/what-does-digital-humanities-bring-to-the-table/)
• Organizing Your Literature: Spreadsheet Style (https://www.insidehighered.com/blogs/gradhacker/organizing-your-literature-spreadsheet-style)
• How We Helped Our Reporters Learn to Love Spreadsheets (https://open.nytimes.com/how-we-helped-our-reporters-learn-to-love-spreadsheets-adc43a93b919)
• How 5 Data Dynamos Do Their Jobs (https://www.nytimes.com/2019/06/12/reader-center/data-reporting-spreadsheets.html)
• Extensive Data Shows Punishing Reach of Racism for Black Boys (https://www.nytimes.com/interactive/2018/03/19/upshot/race-class-white-and-black-men.html?mtrref=uta.pressbooks.pub&assetType=PAYWALL)
• The Atlantic Slave Trade in Two Minutes (http://www.slate.com/articles/life/the_history_of_american_slavery/2015/06/animated_interactive_of_the_history_of_the_atlantic_slave_trade.html)
• Slave Voyages (https://www.slavevoyages.org/)

Chapter 1.2

• The Essence Book Project (https://jacintasaffold.com/the-essence-book-project/)
• Baldwin’s Paris (http://www.baldwinsparis.com/)

Chapter 1.3

• Principles of tidy data (https://youtu.be/oQuupzfX9OQ)
• The Black Studies and Digital Humanities Dataverse (https://dataverse.tdl.org/dataverse/uta-blackstudies)

Chapter 1.4

• The Language of the State of the Union (https://www.theatlantic.com/politics/archive/2015/01/the-language-of-the-state-of-the-union/384575/)
• The Pudding (https://pudding.cool/)
• The Largest Vocabulary in Hip Hop (https://pudding.cool/2017/02/vocabulary/)
• Outkast, in Charts (https://pudding.cool/2017/03/outkast/)

Chapter 1.5

• Beyonce at the Grammy’s vs Beyonce at BET (https://public.tableau.com/app/profile/krambsy/viz/BeyonceattheGrammysvsBeyonceatBET-LucienLi-Sample/IsGrammyColoringBeyonceBlack)
• Op-Ed: Beyoncé’s Grammy snub and the glass ceiling on black art (https://www.latimes.com/opinion/op-ed/la-oe-vilanova-grammys-beyonce-adele-glass-ceiling-20170118-story.html)
• The Signifying Monkey: A Theory of African American Literary Criticism (https://books.google.com/books?id=QS7nAwAAQBAJ&printsec=frontcover&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false)
• Getting Started with Tableau Public with Zach Roe (https://youtu.be/gv01Ws2IS48)

Part 2

Chapter 2.2

• The Black Short Story Dataset – Vol. 1 (https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/5TBANV)

Chapter 2.3

• Data.gov is the Federal Government’s open data initiative. Hundreds of data sets (https://www.data.gov/)
• The Pew Research Center has a number of data sets on different social and technology topics (https://www.pewresearch.org/download-datasets/)
• Kaggle Open Datasets find open datasets on everything from government, health, and science to popular games and dating trends (https://www.kaggle.com/datasets)
• Open data site finder -Tableau Public viz (https://public.tableau.com/profile/digitalteam#!/vizhome/OpenDataSiteFinder/OpenData)
• World Bank Open Data (https://data.worldbank.org/)
• Texas Public Policy Foundation (https://www.texaspolicy.com/election-history-dataset/)
• MIT Election Lab (https://electionlab.mit.edu/)
• United States Election Project (http://www.electproject.org/)
• Mapping Police Violence (https://mappingpoliceviolence.org)
• Prison Policy Initiative https://www.prisonpolicy.org/data/)
• Replication Data for: Rule By Violence, Rule by Law: Lynching, Jim Crow, and the Continuing Evolution of Voter Suppression in the U.S. (https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/YFQE9W)
• Fatal Encounters (https://fatalencounters.org)

Chapter 2.4

• Tidy Data Principles: General Data Structure Best Practices | UTA Libraries (https://youtu.be/jpCz8dAYf0o)

Chapter 2.5

• Reporting and Availability of COVID-19 Demographic Data by US Health Departments (April to October 2020): Observational Study (https://publichealth.jmir.org/2021/4/e24288)
• Storytelling with Data – The Beyonce Edition (https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/XL8NIX)

Chapter 2.6

• Quick Visualization Makeover Example – https://youtu.be/ifYAt6djrwA

Part 3

Chapter 3.1

• Signifying & Sampling Jay-Z Visualization – https://public.tableau.com/app/profile/lindsey.dixon/viz/Jay-ZsSamples_16212779074500/Dashboard1
• Jay Z Samples Dataset – Vol.1 – https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/XK2LEW
• Signifying & Sampling – Tableau “How to” Video – https://youtu.be/kGcmOAFCO0w

 Chapter 3.2

• Mapping Jay-Z’s Collaborations – https://public.tableau.com/app/profile/lindsey.dixon/viz/Jay-ZsCollaborators1/Dashboard1
• Jay Z Collaborators Dataset – Vol.1 – https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/IYUWGK
• Mapping Jay-Z’s Collaborators – Tableau “How to” Video – https://youtu.be/kGcmOAFCO0w

Chapter 3.3

• Animating Beyonce’s Award Nominations & Wins – https://public.tableau.com/app/profile/krambsy/viz/BeyoncesAwardsViz_16327094552660/Dashboard1
• Storytelling with Data – The Beyonce Edition – https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/XL8NIX
• Animating Beyonce’s Award Nominations & Wins – Tableau “How to” Video – https://youtu.be/H90MjAawsEw

Chapter 3.4

• Beyonce and Feminism Visualization – https://public.tableau.com/app/profile/krambsy/viz/BeyonceFeminism_16326235426290/Dashboard1
• Beyonce and Feminism – “How to Video” – https://youtu.be/wsLjJ_R-FXw
• Storytelling with Data – The Beyonce Edition – https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/XL8NIX
• Beyonce and Feminism – Edited Dataset – Live Performances – https://docs.google.com/spreadsheets/d/1ak3lNVKPPn-z4uijz6BZfglVWtMagQTO/edit?usp=sharing&ouid=102192230694613540944&rtpof=true&sd=true

Chapter 3.5

• Beginning with a Dataset of 300 African American Texts – https://public.tableau.com/app/profile/krambsy/viz/300Titles-Sample1/300TitlesDraft
• 300 Key African American Literary Texts – https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/86VLHU
• 300 African American Titles – Tableau “How to” Video – https://youtu.be/afBRNIt8cgo

Chapter 3.6

• The Circulation of African American Short Stories – https://public.tableau.com/app/profile/lindsey.dixon/viz/TheCirculationofAfricanAmericanShortStories/Dashboard1
• The Black Short Story Dataset – Vol. 1 – https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/5TBANV
• Short Stories & 100 Anthologies – Tableau “How To” Video – https://youtu.be/DSlaIfy43bw

Chapter 3.7

• Cultural Geo-Tagging The Big 7 Visualization – https://public.tableau.com/app/profile/krambsy/viz/Big7CharacterTypes_16326279059670/Dashboard1
• Cultural Geo-Tagging The Big 7 – https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/4IKXDI
• Black Short Stories & Characters “How to” Video – https://youtu.be/wvCdJwEsctI

Chapter 3.8

• Big 7 Settings Overview Visualization – https://public.tableau.com/app/profile/krambsy/viz/Big7SettingsandOverview_16327113644620/Dashboard1
• Cultural Geo-Tagging The Big 7 – https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/4IKXDI
• Big 7 Settings Overview “how to” video – https://youtu.be/QHABGQAFAWs

Part 4

Chapter 4.1

• The Black Short Story Dataset – Vol. 1 – https://dataverse.tdl.org/dataset.xhtml?persistentId=doi:10.18738/T8/5TBANV
• Excel Easy – https://www.excel-easy.com/

Chapter 4.3

• Scrape data from wikipedia and put into Google Sheets by Chris Menard – https://youtu.be/1CtMtytSAto
• OpenRefine – https://openrefine.org/download.html
• Scraping Wikipedia with Google Sheets and Cleaning Data With Open Refine – https://youtu.be/lhl9uhYkCe8
• Remove or replace a specific character in a column – https://kb.refinepro.com/2011/07/remove-specific-character-in-column.html

Chapter 4.4

• Voyant Tools Help – https://voyant-tools.org/docs/#!/guide/about
• Simple text analysis with Voyant Tools – https://sites.nd.edu/emorgan/2014/01/voyant-tools/
• Text analysis using Voyant Tools – https://blogs.reed.edu/ed-tech/2017/03/text-analysis-using-voyant-tools/
• Voyant Tools: A Tutorial for Text Analysis – https://medium.com/@priestleyal/voyant-tools-a-tutorial-for-text-analysis-df265d85d214
• Voyant Tools Tutorial/Workshop – https://voyant-tools.org/docs/#!/guide/tutorial

Chapter 4.5

• Gitbut Topic Modeling Tool – https://github.com/senderle/topic-modeling-tool
• The Worlds That Toni Morrison Made – https://www.jstor.org/stable/41401646?seq=1#metadata_info_tab_contents
• New Directions for Black Feminist Criticism – https://www.jstor.org/stable/2904407?seq=1
• The Digital Humanities Debacle – https://www.chronicle.com/article/the-digital-humanities-debacle/
• LDA Topic Modeling: An Explanation – https://towardsdatascience.com/lda-topic-modeling-an-explanation-e184c90aadcd
• Topic Modeling and Latent Dirichlet Allocation (LDA) in Python – https://towardsdatascience.com/topic-modeling-and-latent-dirichlet-allocation-in-python-9bf156893c24
• “Topic Modeling: What Humanists Actually Do With It.” A Guest Post by Teddy Roland, University of California, Berkeley – https://digitalhumanities.berkeley.edu/blog/16/07/14/topic-modeling-what-humanists-actually-do-it-guest-post-teddy-roland-university
• Distant Reading and Recent Intellectual History – https://dhdebates.gc.cuny.edu/read/untitled/section/3b96956c-aab2-4037-9894-dc4ff9aa1ec5
• Very basic strategies for interpreting results from the Topic Modeling Tool – https://miriamposner.com/blog/very-basic-strategies-for-interpreting-results-from-the-topic-modeling-tool/