Readings

This list covers both homework assignments and resources to be used in in-class activities. It is designed to be a rough guide to resources for topics we will cover, some resources may be omitted, some may be added.

An ongoing helpful resource we will be referencing will be the Data Journalism Handbook: http://datajournalismhandbook.org/1.0/en/

Week 1: (Introduction, dirty data)

None – first class

Week 2: Finding data, data formats

Advanced data searching techniques (taking Google to the next level):

Guide to finding data:

Week 3: Cleaning/finding story in data

Week 4: Visualization/graphic design principles

  1. Why data viz matters –  http://www.mulinblog.com/data-visualization-matters/
  2. Principles of visual design – http://webstyleguide.com/wsg3/7-page-design/4-visual-design-principles.html
  3. History of visualization – http://data-art.net/resources/history_of_vis.php
  4. Importance of white space – https://hackdesign.org/lessons/18

Week 5: Scraping data from a Website (from list to spreadsheet)

  1. Ethics of scraping – http://onlinejournalismblog.com/2013/09/18/ethics-in-data-journalism-mass-data-gathering-scraping-foi-and-deception/
  2. Getting data from the Web – challenges – http://datajournalismhandbook.org/1.0/en/getting_data_3.html

Week 6: Visualization for reporting – Different chart types

  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

Week 7: Relationship of visuals to text story

  1. Data viz tips – http://guides.library.duke.edu/topten
  2. Data art vs. data visualization – http://www.perceptualedge.com/blog/?p=1245

Week 8: Mapping – What you need, how to do it

  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/

Week 9: Text analysis and visualization

Word clouds: Case for avoiding them – http://www.niemanlab.org/2011/10/word-clouds-considered-harmful/

Week 10: Final project presentations

No assignments – we’re wrapping up

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s