Homework 3: Due January 30

Using either your own dataset or this sample dataset,* create a stacked bar chart from the columns of your choice. You can choose which visualization tool you use.

I would also like to have some information about your final project. Please tell me:

  1. which dataset you plan to use.
  2. 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.

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

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 Tex. 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/.