Neighborhood Analysis
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  • Syllabus
  • Schedule
  • Assignments
  • How To
  • Resources
  • Discussion
  1. Strategies for Analysis
  2. 11. Population and the Census
  • Schedule Overview
    • Course Schedule
  • Course Introduction
    • 1. Course Introduction
    • 2. What is a Neighborhood?
    • 3. Building a Data Pipeline
    • 4. Working with Tidy Data
    • 5. Working with Tidy Data
    • 6. Describing Places
    • 7. Communicating Complex Information
  • Strategies for Analysis
    • 8. Describing Places
    • 9. Describing Places
    • 10. Population and the Census
    • 11. Population and the Census
    • 12. Segregation
    • 13. Segregation
    • 14. Neighborhood Change
    • 15. Neighborhood Change
    • 16. Place Opportunity
    • 17. Place Opportunity
    • 18. Transit Equity
    • 19. Transit Equity
    • 20. Health Equity
    • 21. Health Equity
    • 22. Final Project Check-In
    • 23. Final Project Check-In
  • Course Wrap-Up
    • 24. Field Observation
    • 25. Field Observation
    • 26. Final Presentations
    • 27. Independent Work and Advising
    • 28. Final Presentations
    • 29. Final Presentations

On this page

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

Population and the Census

Session Description

In this session, we will work on our lab focused on exploring population and the census.

Before Class

Accept the GitHub Classroom invitation to our lab repository and use RStudio to pull the repository to your local computer.

Read our lab background so you are prepared to start working through the lab repository notebook.

If you do not already have one, please register for a U.S. Census Bureau API Key which we will need for the tidycensus package.

Reflect

Slides

Resources for Further Exploration

Content Andrew J. Greenlee
 
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