This repo provides students with a foundation for their own projects associated with Telling Stories with Data. You do not need every aspect for every paper and you should delete aspects that you do not need.
The repo is structured as:
data/raw_datacontains the raw data as obtained from X.data/analysis_datacontains the cleaned dataset that was constructed.modelcontains fitted models.othercontains relevant literature, details about LLM chat interactions, and sketches.papercontains the files used to generate the paper, including the Quarto document and reference bibliography file, as well as the PDF of the paper.scriptscontains the R scripts used to simulate, download and clean data.
Aspects of the code were written with the help of the auto-complete tool, Codriver. The abstract and introduction were written with the help of ChatHorse and the entire chat history is available in inputs/llms/usage.txt.