I would also like to have some information about your final project. Please tell me:
- which dataset you plan to use.
- which visualization tool(s) you’re thinking of using.
You can submit your visualizations as screenshots, PDFs, links, or anything I can read. Enter your answers to the two questions about your final project in the text field provided within the assignment on CCLE.
*a partial list of people exonerated for crimes they didn’t commit. Source.
Are you stumped?
Watch me do the homework in this video.
Further reading (optional)
On the assumptions and ideology of data visualization
Anderson, C. W. Apostles of Certainty: Data Journalism and the Politics of Doubt. New York: Oxford University Press, 2018.
Battle-Baptiste, Whitney, and Britt Rusert. W.E.B Du Bois’s Data Portraits: Visualizing Black America. Hudson, NY: Princeton Architectural Press, 2018.
Buck-Morss, Susan. “Envisioning Capital: Political Economy on Display.” Critical Inquiry, October 19, 2015. https://doi.org/10.1086/448759.
D’Ignazio, Catherine. “What Would Feminist Data Visualization Look Like?” MIT Center for Civic Media, December 20, 2015. https://civic.mit.edu/feminist-data-visualization.
Drucker, Johanna. Graphesis: Visual Forms of Knowledge Production. MetaLABprojects. Cambridge, Mass.: Harvard University Press, 2014.
Klein, Lauren F. “The Image of Absence: Archival Silence, Data Visualization, and James Hemings.” American Literature 85, no. 4 (December 1, 2013): 661–88. https://doi.org/10.1215/00029831-2367310.
Marx, Vivien. “Data Visualization: Ambiguity as a Fellow Traveler.” Nature Methods 10, no. 7 (July 2013): 613–15. https://doi.org/10.1038/nmeth.2530.
On performing text analysis
Tool, from David Mimno: jsLDA, In-Browser Topic Modeling
Blei, David M. “Introduction to Probabilistic Topic Models.”
Jockers, Matthew Lee. Macroanalysis: Digital Methods and Literary History. Urbana: University of Illinois Press, 2017.
Ramsay, Stephen. Reading Machines: Toward an Algorithmic Criticism. Urbana: University of Illinois Press, 2017.
Tilton, Lauren. Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text. Quantitative Methods in the Humanities. Philadelphia: Springer International Publishers, 2015.
Ted Underwood. “Topic Modeling Made Just Simple Enough.” The Stone and the Shell. Accessed October 16, 2012. http://tedunderwood.com/2012/04/07/topic-modeling-made-just-simple-enough/.