Neighborhood Analysis
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Earning your Learner’s Permit

  • Schedule Overview
    • Course Schedule
  • Course Introduction
    • 1. Course Introduction
    • 2. What is a Neighborhood?
    • 3. Building a Data Pipeline
    • 4. Sharing Your Work
    • 5. Learner’s Permit
    • 6. Describing Places
    • 7. Describing Places
  • Strategies for Analysis
    • 8. Population and the Census
    • 9. Population and the Census
    • 10. Population Projections
    • 11. Population Projections
    • 12. Segregation
    • 13. Segregation
    • 14. Neighborhood Change
    • 15. Neighborhood Change
    • 16. Place Opportunity
    • 17. Place Opportunity
    • 18. TBD
    • 19. TBD
    • 20. TBD
    • 21. TBD
    • 22. Field Observation
    • 23. Field Observation
  • Course Wrap-Up
    • 24. Final Project Peer Review
    • 25. Final Presentations
    • 26. Independent Work and Advising
    • 27. Independent Work and Advising
    • 28. Final Presentations
    • 29. Final Presentations

On this page

  • Session Description
  • Before Class
  • Reflect
  • Resources for Further Exploration

Earning your Learner’s Permit

Session Description

In this lab session, you’ll do some initial work on “real world” data to earn your UP 570 Learner’s Permit. This session marks out transition from setting up some basic workflows to focusing on data analysis techniques and applications. This lab is designed to help us learn more about your familiarity and proficiency with basic data manipulation using common dplyr functions.

Your goal is to use our lab session plus an additional 3-4 hours to work through lab prompts. Address the prompts if you can. If you can’t, provide written descriptions about what you’re trying to do, pointers about how you’ve tried to address the problems, and insights into where you’re getting stuck. To repeat, the overall goal isn’t to complete the lab, but rather to share your process and insights. This will help us to refine future labs and instructions based upon the collective knowledge and understanding of the class.

Before Class

  1. Take a look at these instructions.
  2. Accept the lab repository, link to Github, and create a local version of the repository.
  3. Come to class with any initial questions you have about the Learner’s Permit of what you’re being asked.

Reflect

  1. How do you typically approach exploring unfamiliar data? What types of questions help you find a direction?

  2. What kinds of stories might data on code violations help us tell?

  3. What types of information are missing from these datasets? What questions come up as you complete your labs?

Resources for Further Exploration

New York City Code Violations

New York City PLUTO Data

Content Andrew J. Greenlee
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