Source: https://www.cincinnati.com/videos/sports/soccer/fc-cincinnati/2017/11/03/major-league-soccer-brief-history/107300928/

Introduction

Major League Soccer (MLS) is the highest level of professional soccer in the United States and Canada. Fans often have favorite players and teams, and they may even know a lot about a variety of them. However, with over 700 players in a season, it’s difficult to track how each player performs, especially over the course of multiple years. In order to accomplish this task, I used k-means clustering to separate players into groups that are simpler and quicker to analyze. I focused my analysis on MLS forwards, but my techniques can be applied to other positions and even other…


Sources: https://www.history.com/speeches/franklin-d-roosevelts-first-inaugural-address, https://www.americanrhetoric.com/speeches/ronaldreagandfirstinaugural.html, https://georgewbush-whitehouse.archives.gov/news/releases/2005/01/images/20050120-1_p44289-148-515h.html, https://www.cnn.com/videos/politics/2013/01/21/inaug2013-president-obama-inauguration-speech-full.cnn

Introduction

Inaugural addresses are part of a special ceremony in which a president is sworn into office. While they can be inspirational, they are also informative. They provide insight into the president’s intentions, and from what I’ve explored, they may also even be a good indicator of the events of the time period. As someone with decent knowledge of U.S. history, I analyzed U.S. inaugural addresses with text analysis, as well as some googling for historical context. I compared the inaugural addresses to topics that I chose: economy, foreign policy, and equality. Using Euclidean distance, I was able to find the…


Source: IMDb.com

Introduction

If you’ve watched a lot of movies, chances are that you’ve seen the same actors in multiple movies. But how are all these actors and movies connected? To answer this question, I explored network graphs. More specifically, I treated each actor as a node, and I connected them based on whether they had a popular movie in common, with the weight of their connection being based on how many popular movies in common. Initially, I created and used a network graph to find which actors were the most connected to other actors based on popular movies they had in common…


Source: tlnt.com/best-of-tlnt-top-5-covid-19-stories-of-2020/

Introduction

It’s been more than a full year since COVID-19 was first identified, and since then there have been more than 100 million confirmed cases and more than 2 million deaths attributed to COVID-19. Experts predicted that the spread of COVID-19 would get worse in the winter due to more people staying indoors, and they were correct. However, with winter approaching its end, and various other factors, such as the holidays, the U.S. presidential election, and vaccines, I was curious to analyze current U.S. COVID-19 trends. …

Kevin Chen

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