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Using Python to visualize various datasets relating to COVID-19 in New York City. Analyses include: plotting rates by age and sex, geographic maps by zip code, and time-series plots with logarithmic axes.
This project analyzes McDonald's menu nutritional data using Python, Pandas, and Matplotlib. It provides insights into menu category distribution, nutritional correlations, and macronutrient balance, offering actionable information for consumers.
Modern LAMMPS + Python replication of Rahman's foundational 1964 liquid-argon molecular dynamics, with a from-trajectory analysis package (g(r), MSD/diffusion, VACF, Van Hove).