Materials for the "Data Topics" workshop series. See the folders, organized according to the following topics.
- Data Analysis 1 (overview, data methods, and data wrangling with R + comparison with Python) (coming Spring 2026)
- Data Analysis 2 (statistical tests, sampling, bootstrap, and more + comparison with Python) (coming Spring 2024)
- Data Visualization 1 (visualization methods with R + comparison with Python) (coming Fall 2026)
- Data Visualization 2 (interactive visualizations with Shiny, including hosting a Shiny server) (coming Fall 2024)
- Data Sources 1 (Overview of major data resources, methods of locating data, with focus on diversity and data for minoritized and underrepresented groups) (coming Spring 2025)
- Data Sources 2 (US and foreign government data resources, along with APIs and R packages for accessing them) (coming Spring 2027)
- Data Publication 1 (creating reproducible research, literate programming documents, and using knitr, Sweave, blogdown, and bookdown) (coming Fall 2025)
- Data Publication 2 (publishing to data repositories and creating R packages) (Fall 2023)