Data Topics

Materials for the “Data Topics” workshop series. The Data Topics github page contains the master files, but end users can refer to the Data Topics website for the most convenient presentation of this material.

This material is 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, distributions, regression, bootstrap, and more + comparison with Python (released 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) (released Fall 2024)
• Data Sources 1 (Overview of major US data resources, methods of locating data, with focus on diversity and data for minoritized and underrepresented groups) (released Spring 2025)
• Data Sources 2 (International 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 (released Fall 2023)