Agenda 8/6

  1. Review data stories spreadsheet
  2. Review Flowing Data/Source blogs
  3. Go over readings for this week:
    1. Data viz tips – http://guides.library.duke.edu/topten
    2. Data art vs. data visualization – http://www.perceptualedge.com/blog/?p=1245
  4. Discuss final project requirements
    1. Examples
    2. Detailed list here
  5. Discuss Tableau – when is it a better alternative to DataWrapper?
  6. How do I decide what to visualize?
  7. How and when do I combine chart types to tell a better story?
  8. What is the role of chart types when integrated with a text story?
  9. More in-depth look at other types of Tableau charts: http://www.tableau.com/sites/default/files/media/which_chart_v6_final_0.pdf
  10. Basic mapping introduction
  11. Classwork
    1. Make a Tableau chart that isn’t a bar, line or map – play with the alternatives (ex: treemap, bubble, etc).
    2. Write a super short story (less than 500 words) about your findings, and write around the graphic in the way we discussed. You can include more than one chart if you want.

Assignments 8/13

  1. Read these posts:
    1. Ethics of privacy in data journalism – http://onlinejournalismblog.com/2013/09/16/ethics-in-data-journalism-privacy-user-data-collaboration-and-the-clash-of-codes/
    2. When Maps Shouldn’t Be Maps – http://www.ericson.net/content/2011/10/when-maps-shouldnt-be-maps/
  2. Bring in two data sets to map – send both to Michelle by NOON on Thurs. 8/13:
    1. One should feature specific addresses/locations, or columns for latitude and longitude (for a point map)
    2. One should feature information that features numbers categorized by either specific countries or states (for a choropleth map)
      1. Make sure full names or abbreviations are used – no extra spaces or weird casing
      2. Let Michelle know if your data is for a unit besides counties, states or countries
    3. Be sure all data has headers for all columns
  3. Install QGIS before class – there are four parts – three things to install that it depends on. Go through installation process in order.
    1. GDAL
    2. NumPy
    3. MatPlotLib
    4. QGIS itself – finally!
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