This repository contains a collection of R Markdown files that show a progression of basic data-analysis and natural-language-processing workflows in R. They were the assignments in the course at VU on Computational Analysis
Together, these documents illustrate a full analytical pipeline. From preparing and understanding structured and unstructured data, to modelling, evaluating, and interpreting results in a reproducible and well-documented format.
The materials cover foundational data wrangling and visualization, exploratory analysis of textual data, dictionary-based approaches for extracting linguistic features, and supervised machine-learning techniques for classifying text.