Week 9

  • Tufte Book Report: Envisioning Information (and QDoVI wrap-up)
  • A Thousand Suns
    • Share possible external data sources
    • Examine your exploratory visualizations
    • Demo using p5 to plot csv data
    • Meet to look over your sketches and discuss merging in the external data

Assignment

  • A Thousand Suns
    • Clean up whatever spreadsheet manipulation you did to the testing data via pivot tables and the like into a csv-friendly format that has a single header row, 1 set of data per row, and is purely rectangular (i.e., no skipped lines or multi-row/column regions). Save this to a csv in your project/data folder where your p5 code can access it.
    • Find the external data source you’ll be using for your ‘so what’ and ‘compared to what’ variables and convert it to spreadsheet form. If the data is quantitative in nature, do some exploratory visualizations using the spreadsheet. If it is qualitative, use a vector drawing app to organize the information spatially (for example, sorting similar items into groups and assembling a bunch of categorical lists or assigning a date to each item and arranging them into a timeline)
    • Bring in three pencil sketches that show different options for merging the testing data with your external data source. As before, save these images to the process directory and explain their logic within the README.md file.
  • Final project
    • Make a short list of subjects that might be of interest and do some brainstorming for the kinds of data you’d need to collect to learn more about it
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