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New Paradigms in Pasta: Introducing $\mathtt{GF \ pastamarkers}$ for Enhanced Inclusivity and Productivity

Julian Falcone, Nabanita Das

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 $\mathtt{pastamarkers}$, a Python-based package that utilizes various types of pasta as data markers to create engaging plots. This work introduces $\mathtt{GF \ pastamarkers}$, an extension of $\mathtt{pastamarkers}$ that utilizes the tenuous structure of gluten free (GF) pasta to meet the needs of the GF population. The implementation of $\mathtt{GF \ pastamarkers}$ 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.

New Paradigms in Pasta: Introducing $\mathtt{GF \ pastamarkers}$ 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 , a Python-based package that utilizes various types of pasta as data markers to create engaging plots. This work introduces , an extension of that utilizes the tenuous structure of gluten free (GF) pasta to meet the needs of the GF population. The implementation of employs an exponential crumbling factor (), which benefits authors by encouraging clearer and more concise scientific articles, thereby leading to more effective manuscripts and proposals.

Paper Structure

This paper contains 5 sections, 1 equation, 3 figures.

Figures (3)

  • Figure 1: A visualization of the estimated number of people around the world consuming a GF diet compared to projections of Germany's population up to the year 2050. The number of GF dieters is estimated to overtake the German population by 2027.
  • Figure 2: A visualization of the $CF$ for different values of $p$ (top) and $d$ (bottom) as a function of paper length. The scale of crumbling ranges from $0-1$, where $CF=0$ presents the markers in their inherent shape and $CF=1$ presents completely crumbled markers.
  • Figure 3: Percentage of United States budget spent on NASA and the NSF over time. The sources of the data in this plot are dreier_data and the Office of Management and Budget and US Department of the Treasury, respectively.