Lingxuan Gao - MUSA 5080 Portfolio
  • Home
  • Weekly Notes
    • Weekly Notes 01: Introduction to R and dplyr
    • Weekly Notes 02: Algorithmic Decision Making & The Census
    • Weekly Notes 03: Data Visualization & Exploratory Analysis
    • Weekly Notes 04: Spatial Data & GIS Operations in R
    • Weekly Notes 05: Introduction to Linear Regression
    • Weekly Notes 11: Space-Time Prediction
  • Labs
    • Lab 0: dplyr Basics
    • Lab 1: Census Data Quality for Policy Decisions
    • Lab 2: Spatial Analysis and Visualization-Healthcare Access and Equity in Pennsylvania
    • Lab 4: Spatial Predictive Analysis
    • Lab 5: Space-Time Prediction
  • Midterm
    • Appendix
    • Presentation
  • Final
    • Eviction Risk Prediction in Philadelphia

On this page

  • Key Concepts Learned
  • Coding Techniques
  • Questions & Challenges
  • Connections to Policy
  • Reflection

Week 1 Notes - Course Introduction

Published

September 8, 2025

Key Concepts Learned

  • [List main concepts from lecture] 1.1 Github: repo;commit;push;pull

1.2 Github workflow: edit files in rstudio->commit changes->push to github

2.1 quarto - [Technical skills covered]

Coding Techniques

  • [New R functions or approaches] dplyr: -Data Manipulation Pipeline
  • [Quarto features learned] YAML header R code chunk

Questions & Challenges

  • [What I didn’t fully understand]
  • [Areas needing more practice]

Connections to Policy

  • [How this week’s content applies to real policy work]

Reflection

  • [What was most interesting]
  • [How I’ll apply this knowledge]