New Paradigms in Pasta: Introducing GF \ pastamarkers for Enhanced Inclusivity and Productivity
Abstract
Informative data visualization methods are key to the clear and efficient communication of myriad forms of data. The PASTA Collaboration has made substantial contributions to the field of data visualization through pastamarkers, a Python-based package that utilizes various types of pasta as data markers to create engaging plots. This work introduces GF \ pastamarkers, an extension of pastamarkers that utilizes the tenuous structure of gluten free (GF) pasta to meet the needs of the GF population. The implementation of GF \ pastamarkers employs an exponential crumbling factor (CF), which benefits authors by encouraging clearer and more concise scientific articles, thereby leading to more effective manuscripts and proposals.
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