This blog post delves into the my personal Long Covid data, collected via the Visible app, using Principal Component Analysis (PCA). I detail four key clusters: Menstruation, Exertion, Emotional, and Neurological and then compare these clusters to the principal components derived from PCA. The analysis aims to provide a validated, data-driven framework for exploring my symptoms during this condition, using clear visualisations to showcase the results.