Agenda 7/28:

  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. Colorbrewer –
  7. Bar graph or line graph –
  8. 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 rough idea for your final project (should be at 2-3 paragraphs)
    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. Read:
    1. Role of visualization in finding story in data –
    2. Directory of visualization types –
    3. Visual math mistakes –
    4. Stacked area chart vs. line chart –