Hyewon Kwon
01
Predicting sports game result
Python ML Project
The project will analyze college sports league results in the major conferences and extract information such as attendance, start times, wins, losses, and scores to draw conclusions about how attendance affects home team wins. We hope to see the correlation between winning and being the home team, analyze the effect of start time on home and away teams, and predict the results of future games in the 2023/2024 seasons.
02
Visualize COVID19 information
JavaScript Project
In the project, we will create a website with tools to analyze data from the COVID-19 pandemic. Our goal is to find a way to describe the global pandemic in a more holistic view to focus on a readability and concise visualization of the pandemic. We present a map showing the cases of world COVID-19 trends on a given period and parameter. In addition, a scatter plot and bubble chart will provide a more detailed, cohesive visual.
03
Provide airport information services
SQL Project
The project will aim to report on information about the airports, including the highest number of passengers or the most airplane departures and arrivals. Our task contains data management and presentation of final results from these input data through queries in SQL. We expect the use of insert, join, sort, filter, or aggregation functions in SQL.
04
Study on Death Penalty and State Fragility
Python Project
The research examines the relationship between government fragility and the mortality by the death penalty derived from the broad research question of "how does the government type influence on the mortality by death penalty." The study argues that government fragility leads to higher executions. In addition, the study aims to confirm whether the death penalty and higher education levels are related.