Of the 2,654 tweets, 744 (29%) included a link. Of those 744, 204 links were retweeted 540 times.  Taking a closer look at the kinds of links that were posted, photos were the most frequent kind of link shared:

• Photo (155)
• Website (27)
• Video (8)
• Data viz (5)
• Facebook (3)
• PDF (3)
• Spreadsheet (1)
• OERS Agenda (1)
• Cartoon (1)

Summarizing this information ended up being a more involved process than I had anticipated.  Before the links could be categorized the duplicates had to be removed, the links needed to be lengthened and the urls parsed.  Following is a description of the process:

• Original tweets were compiled (retweets and truncated links were removed)
• Links were lengthened:
  • Links on twitter are shortened using the http://t.co
  • Bulk URL Checker app (https://www.searchcommander.com/seo-tools/bulk-url-checker/) was used to expand the links so they could be categorized
• Lengthened links were categorized according to the url content:
  • Youtube.com links indicate videos
  • Twitter/photo/1 links indicate photos
  • Links ending in .pdf indicate documents
  • Fb.me links indicate facebook posts
  • Some links needed to be expanded a second time and were fed back into the Bulk URL Checker, lengthened and categorized
  • Remaining links were reviewed and categorized
• Links and categories were put into a pivot table and summarized (a copy of the excel sheet is available here)