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Using the reader survey R package LitRiddle, this resource offers a gentle introduction to tabular data analysis in Rstudio. Following along the code examples, students will learn about Rstudio, Markdown files, and how to explore, analyse and transform quantitative data in R.

This three-day training school organised by the CLS INFRA project focused on dynamic collections of literary texts manipulated programmatically. Learners will learn to find, evaluate, and select corpora using tools like CLSCor and DraCor, and gain skills in Python, Jupyter Notebooks, API querying, Linked Open Data, and Digital Literary Network Analysis. The training addresses reproducibility using Docker, promoting transparent, replicable research in Computational Literary Studies.