Announcements

While you’re waiting for class to begin, please take a look at the links as food for thought.

• Example Vis: Transit Visualization Client, Conversation Concept Map, MIT ML Pantheon
• Example Data Source: Socioeconomic Data and Applications Center (SEDAC), NYC Open Data
• Example application of data visualization: The Next America, The Search for High Energy Cosmic Rays, ProPublica Data
• Example Tutorials: DataCamp, Lynda.com
• More visualizations: List of Physical Visualizations

Agenda

• Syllabus Explanation/Discussion
• Introductions
• Next Week’s Assignments
• Lecture: A Brief History of Data Visualization, Data Vis Toolbox

Next Week’s Assignments

• BLOG: If you don’t have a blog already, set one up. Send me the blog URL.
• POST: Prepare and post a slideshow that shows your potential toolkit (aka tech stack) for class. Phase 1 will be about exploring and solidifying your toolkit. See the assignment slideshow for “buffet” ideas. The slideshow should contain at least these slides:
  • names of your potential tools
  • justification of your choice
  • tool history and sociology
  • use cases and examples
  • constraints / challenges
  • discuss your tutorial process (see below)
• TUTORIAL: Go through at least 1 tutorial for your tool(s). Be ready to discuss as part of your slideshow.