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NYC Hackathon


Week 10: April 29, 10:00am-6:00pm

I. Data: from NYC Open Data - 3 options:

  1. Restaurant inspections
  2. Tree health & dog licenses
  3. 311 calls

Source: NYCOpen Data
Requires signing up for an API:

II. Challenge: Help New York City find a way to use data to:

  1. Which features are most indicative of the best (or worst) restaurant grade? Are restaraunt inspections subject to bias? If so, what type?
  2. Which neighborhoods have increased dog licenses and is there a relationship between licenses and tree health?
  3. What do the changing nature and/or volume of 311 calls indicate about a neighborhood?

What recommendation or policy proposal would you make to a community, city or professional organization based on your findings? (conclusions should clearly show valuable results a non-technical stakeholder)

Potential Audiences:

  1. City Hall
  2. Communtiy Board
  3. Your Neighbors
  4. New Yorkers (Awareness campaign)

III. Groups:
Gauss & Nash combined
24 students, 6 groups of 4 (two from each)
Two groups per topic

IV. Final Product:
Required Deliverables:

  1. Public Github repo
  2. that summarizes the process and conclusions
  3. Notebook containing analyis and visualizations

V. Schedule

  • 10:00-10:30am Groups convene, topic votes, assigning roles/project management
  • 10:30-1:00pm Data gathering, exploration, preliminary models/analytics
  • 1:00-2:00pm Lunch Break
  • 2:00-3:30pm Finalize Analytics/Models
  • 3:30-4:30pm Refine writeup
  • 4:30-5:30pm Peer Review: each group reviews 2 other groups' repos, fill out google form
  • 5:30-6:00pm Discussion/Highlight Reel: each group shares one highlight about one other group