Neighborhood Analysis
  • Home
  • Syllabus
  • Schedule
  • Assignments
  • How To
  • Resources
  • Discussion
  1. Course Introduction
  2. 5. Working with Tidy Data
  • 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

Introduction to Tidy Data - Session 2

Session Description

This week, we’ll spend time reviewing the basics of what tidy data are, and will review common manipulation strategies. We will continue the work that we began on Tuesday and will take a few moments to reflect upon how these principles help us with some of our foundational approaches to information in this class.

Before Class

Review the How To Lesson 3.

Reflect

Slides

Resources for Further Exploration

Content Andrew J. Greenlee
 
Made with and Quarto
Website Code on Github