Data Technologies in Statistics

Discussion of aspects of statistical computing as they are relevant for data analysis. Read and work with data in different formats: flat files, databases, web technologies. Elements of literate programming help us with making our workflow transparent and analyses reproducible. We will discuss communication of results in form of R packages and interactive web applications.

Taught in Spring 2023, Spring 2022, Spring 2019, Spring 2017, Spring 2014, Spring 2012
Materials available at https://stat585-at-isu.github.io/ Materials available at https://ds202-at-isu.github.io/