Visualizations

World Trade Organization member countries have the freedom to declare themselves as 'developing' or 'developed', without any established guidelines. My analysis  aimed to uncover the predictive power of economic, social, and health features in determining a country's declared status. While economic features showcased a distinction between developed and developing countries in aggregate, the disparity among social and health factors were more striking. Utilizing three decision tree models, one considering all features, one solely focusing on economics, & another on social/health, the all encompassing model was far superior in accurately predicting country status.





This project explores the evolving landscape of male and female major literary prize winners and judges. It documents a wide gender disparity that gradually diminishes over time. The findings illuminate a promising shift towards gender equality, with women rising to prominence in the 2010s and often matching or surpassing their male counterparts as 2020 arrives. All awards are accompanied by at least a prize of $10,000. 

I dug into Tim Alexander's 2020 Congressional Campaign Contributions, and visualized my findings using an rshiny app. As one would expect, a majority of contributions came from within NJ. Also, 2022 witnessed a surge in donations, which aligns with the growing election buzz. 




This visualization highlights the spending trends of the 2016 Presidential candidates, revealing an interesting twist: the top spenders from each major party did not secure their party's nomination. Most recipients were located in coastal regions and metropolitan areas, with consulting firms and messaging companies dominating 9 out of 10 major financial recipients. As expected, campaign spending increased steadily as elections drew nearer, reaching its peak on Election Day.