Explore geospatial public policy analysis using GeoPandas in this comprehensive 4-hour tutorial from PyCon US. Learn to leverage the power of pandas for geospatial data analysis, focusing on education data from the National Center for Education Statistics (NCES). Analyze Integrated Post-secondary Education Data System (IPEDS) information to map higher education institutions across the United States and examine equity implications of Education Deserts. Gain valuable insights into pandas and geopandas techniques, making your workflow more effective, reproducible, and open. Perfect for novice data analysts, Python enthusiasts, social scientists, and journalists, this hands-on session covers data preparation, variable manipulation, and notebook creation. Dive into concepts like Title IV, PfP/PnP, census blocks, and IPUMS while developing practical skills in geospatial analysis and public policy research.
Overview
Syllabus
Introduction
Who am I
What do I do
What this tutorial covers
Who is this tutorial for
Tools
Data Sources
Research Questions
Research Data
Getting Started
Data Preparation
Transpose View
Variables of Interest
Copy DataFrame
Sector Variable
Strings
String Access
series
return data frame
save on itself
markdown
index
last name
API key
Universe
Check Data
Recap
Creating a Notebook
Taught by
PyCon US
