Agenda 7/30

  1. Review data stories in spreadsheet
  2. Go over readings from Tuesday
    1. Role of visualization in finding story in data –http://datajournalismhandbook.org/1.0/en/understanding_data_7.html
    2. Directory of visualization types – http://guides.library.duke.edu/vis_types
    3. Visual math mistakes – https://eagereyes.org/criticism/visual-math-wrong
    4. Stacked area chart vs. line chart – http://vizwiz.blogspot.com/2012/10/stacked-area-chart-vs-line-chart-great.html
  3. Basics of Tableau/how different from DataWrapper
    1. Download Tableau
  4. Demo exercise: Treemap across time
    1. Resource for changing years
    2. Dataset
    3. Sample workbook
  5. Classwork/Individual memo review:
    1. I’ll meet with each of you individually outside the classroom. While I’m doing that, please complete the following:
      1. Use Tableau to make a chart based off of a data set of your choice, using rules we’ve set out in previous classes about careful color choices, axis labeling, etc. Send me the completed chart.
      2. Dip your toe into mapping by following this tutorial and send me the result: http://www.peteraldhous.com/CAR/tableau_demo.pdf
        1. (You may encounter some bits you can’t do, in fact you will, when this happens, note what steps caused you problems, and what the issues were.)

Assignments 8/6

  1. Read:
    1. Data viz tips – http://guides.library.duke.edu/topten
    2. Data art vs. data visualization – http://www.perceptualedge.com/blog/?p=1245
  2. Hand in complete memo describing your story, using following guidelines. You should have touched on some of these in your initial pitch, but please incorporate the feedback I send you over the weekend.
    1. What is the overall topic of your story?
    2. Why is this story important?
    3. What benefit does structured data bring to this story? What can numbers tell you that people cannot?
    4. Ideas of at least three people-sources (types of people, if not specific names) who you can interview for your story (you will be required to have three sources besides the data in your final project as well. If these don’t pan out, that’s fine, but start thinking about it now.
    5. Three ideas of what a reader will learn from your story, and how it will impact them.
    6. What non-data, non-human interview research work you need to do to flesh out your idea. I imagine more will come up as you go, but explain where you plan to start.
    7. Another data source that would help that you wish you had, which would bring better context to your story.
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