|
Preliminaries |
|
|
| 1 |
Course Introduction |
Scripts; R and RStudio |
|
| 2 |
Reproducible Data Analyses |
Markup Languages; Quarto |
|
| 3 |
File Management & Version Control |
Filesystems; git; GitHub |
|
| 4 |
A Field Guide to Data |
Data Formats; surveys, readr; tidyr |
|
| 5 |
Structural Data Manipulation |
dplyr; srvyr |
|
| 6 |
Data Visualization I |
Grammar of Graphics; ggplot2 |
|
| 7 |
Data Visualization II |
ggplot2 |
|
| 8 |
Core Exam (Thursday, October 16) |
|
|
| 9 |
Workflow & Data Retrieval |
tidycensus; APIs; database/SQL overview |
|
| 10 |
Social Networks & Network Data |
iGraph; statnet |
|
| 11 |
Cartography |
tidyverse mapping; color scales; projection |
|
| 12 |
Geographic Data |
sf; tigris; mapgl; mapbox; osm |
|
| 13 |
GIS Day, Catch Up, and Project Work |
|
|
| 14 |
Statistics & Flow Control |
Loops, ttest(), lm(), glm() |
|
| 15 |
Project Presentations |
|
|
| F |
Finals Week (Project Due) |
|
|