Class 15 (English 146DS – Winter 2021)

Class Business

  • Approval of English 146Ds as elective in STSDs major

Plan for class:  Discussion of Data art  Arrow right  Team work breakouts

Epigraph for Class

“Obvious”

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Edmond de Belamy by the Obvious art collective (2018. Sold at Christie’s auction for $432,400.

OpenAI GPT-2 (2019)

Data Art


  • Do we need data art? If so, why?
    (in comparison to data narrative)

Ripped paper effect horizontal line

Long Sentence  Arrow right  Storyboard

Implementing Your Data Story

Options for Implementation

  • Option 1: Fully realized or performed data story
    • (a) With static data visualizations — e.g.,
      • a slide show
      • an infographic
      • a document (journalistic story)
      • a web page (e.g., on a WordPress.com site)
    • (b) With dynamic or interactive data visualizations
      • hosted on an online service such as Tableau Public, Flourish, ArcGIS, etc.
      • or “embedded” from such services in a web page
  • Option 2: Partly realized data story with mockup designs for what  cannot be implemented (Mock up the data story design in a document or slides; and add instructions/documentation on how things are supposed to look and behave)
    • E.g. Scrolly story
    • Story with complex interactive visualizations
    • Video or audio story
Preview of grading rubric for team data story (draft)

Data Visualization Tools

Visualization Tools: Future in-class and project-making activities will involve creating data visualizations. Spreadsheet programs such as Excel or Google Sheets are capable of generating many visualizations from data. But teams may also want to experiment with, or at least be introduced to, one or more of the following tools (create free accounts as needed):

    • Note: Specialized statistics programs such as SPSS or programming languages such as R may also be used to create visualizations if students are familiar with them. However, this course does not assume that students have such familiarity.

Plan for lab-style classes in last weeks of course

  • Team work in breakouts
    • Visits to teams by Alan and Teddy (singly or together)
  • Teams re-enter the plenary Zoom at 1:30 pm (except for today, when we reconvene at 1:40)
    • Each day (beginning this Thursday), there will be a status report in the plenary by one team–in the sequence, Teams 1, 3, 2, 4.
  • On the final class day, all teams will present their projects.