Announcements

While you’re waiting for class to begin, please take a look at the links to prepare for class today.

• Tableau Visualizations: Please publish your workbooks and edit permissions so that anyone can see the workbooks.
• Please start to look at the Phase 1 projects of your classmates and jot down some comments/questions for each visualization.
• NYU Libraries: Upcoming tutorial classes on data visualization, analysis, and management software
• NEW: 3D Visualization Resources
• UPDATED: Community Partners
• Visualizing Data for Human Rights
• NOTE: No class session next week (October 11). On October 18, we will meet at ProPublica, 155 6th Avenue, Manhattan

Agenda

• Phase 1 Project Presentations
• Brief visit from Lindsay Anderberg, NYU Dibner Library Liaison. landerberg [at] nyu.edu
  • https://guides.nyu.edu/digitalmedia
  • https://guides.nyu.edu
• 3D Visualization Resources
• Multimer partner data
  • Visualizations from 2017
  • MindRider GIS sample data (QGIS2threejs tutorial here)
  • Multimer Indoor Office data
  • Data from the Associated Press / Multimer VR Study
• If we have time: Visualizing Data for Human Rights
• Remember: No class session next week (October 11)!

Next Week’s Assignments

• Blog Post: Self-guided tour of NYSCI. Before October 18, please visit New York Hall of Science (NYSCI) and take your own self-guided tour of NYSCI’s exhibits, “Connected Worlds” and “Mathematica.” Please take notes on BOTH exhibits. NYSCI has free admission on Friday from 2-5pm and Sunday from 10-11am, and is $13 at other times. If you anticipate difficulty in traveling to NYSCI or paying admission, please let me know so I can help make accommodations.
• Blog Post: Book Thoughts. Start browsing the recommended books listed in the syllabus for this class. Write a short post about 2-3 books that interest you, and explain why.
• Email me your community partner thoughts. Please let me know:
  • Your top 2-3 choices for community partner (Note that this year, only 1-2 students can work with each community partner, so we partnerships will be arranged on a first come, first serve basis).
  • Questions you have about the process of working with them.
  • Issues that you anticipate encountering in the data visualization process.