- What are the questions they are researching or investigating with data?
- What are their issues in collecting the data?
- What are their issues in cleaning the data?
- What are their issues in understanding the data?
- Are there historical precedents for this kind of work with data? For this, please explore and cite at least one of the books from the “Historical/Foundational” section of the course-reserved books (seesyllabus).
- What kinds of data visualizations can help them? What kinds of visualizations can’t help them? For this, it may help to explore the books in the “Technique/Science” section of the course reserves (seesyllabus).
- Please provide possible vis sketches and/or notes from your exchanges with your community partner. Keep in mind that some community partners may have limited time to work with you. Plan accordingly!
- If applicable, please integrate your thoughts on speakers and/or site visits so far.
October 29 – November 6rd: Review the data and find the right part.
November 6th – November 10th: discuss data visualization ideas with the community partner for feedback and keeping write the paper
November 11th – November 25th: Sketches and initial design prototypes
November 25st – November 30th: Review prototypes and designs with the CP for feedback
December 1st – December 15th: Final iterations and feedback