Labs
Guided practice in data analysis for public policy
The labs connect statistical reasoning, R programming, and interpretation. We will complete most of each lab together on Wednesday. Friday sections revisit the central ideas, troubleshoot code, and support the On Your Own work.
Each lab has two parts: a detailed online guide and a student lab template for students to complete and render.
Lab 0: Getting started with R, RStudio, and Quarto
Set up the software workflow, use R as a calculator, create objects, and render a first reproducible report.
Lab 1: Introduction to data analysis in R
Use historical birth records to learn the basic analysis cycle: inspect, transform, visualize, calculate, and interpret.