Agenda 4/23:

  1. Go over spreadsheet data stories
  2. Review Flowing Data/Source for this week
  3. Review articles we read
    1. Why Data Viz Matters –
    2. Principles of viz design –
    3. History of viz –
  4. Importance of white space –
  5. Visual hierarchy –
  6. WTF visualizations – what not to do –
  7. Colorbrewer –
  8. Bar graph or line graph –
  9. Classwork
    1. Create account on DataWrapper –
    2. Make practice bar graph together
    3. Make practice line graph together
    4. Use your own data set to do the following:
      1. Pick one trend from the data set you’ve been working with (can be from last week, or another you are playing with)
      2. Is it a bar or line graph?
      3. Make it in Datawrapper following ideas we’ve talked about
      4. Think about how chart will be displayed, and mock up the layout of the graphic in an editing program on the computer (Photoshop, etc), or draw it on a piece of paper. Hand in chart by taking a screenshot (either Command-Shift 4, or go to Publish tab, print to PDF and send me PDF).
      5. Write memo (at least 500 words) commenting on:
        1. Chart
          1. why you used a certain chart type
          2. color
          3. white space
          4. axis labels
        2. Overall layout
          1. What information you wanted to include
          2. Why you placed it where you did
          3. How you designated what info is most important

Chart, overall layout and memo, you can finish either in class, or at home, for next week.

Assignments 4/30:

  1. Finish classwork (see above)
  2. Hand in critique of a data story (see syllabus for more detail on this)
  3. Hand in formal memo about your final project (should be at least one page)
    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.