This thread in digital humanities has enabled me to visualize data-driven projects in a way tells the story of the data in an easily understood way. Specifically, I’ve incorporated elements of interactivity in many of them.
Project 1: Murder Data
During my Intro to CS course in Winter of 2019. I made a web interface where the user could search through the top states and cities in the United States to find those that had the most reported murder cases. The code and visualization are not able to be presented as my professor chose to close our projects to the public
Project 2: 2016 Presidential Election
I worked on this project in Software Design during the Winter of 2020. I make a website that had an interactive map of the United States where you could click on the state each state, or search for a county, city, state, and see the 2016 presidential election voter breakdown. You can view the percentages of the votes for each party, or the total amount of votes. The website unfortunately cannot be launched due to privacy policies. Here is the link to the repo.
Project 3: COVID 19 Paper Analysis by Academic Field
This was done in a hackathon during the summer of 2021. Using PubMed, I made a program that accesses the database, filters all the papers in the database to find those related to COVID-19 using regular expressions, and then filters that subset of data to bin them into academic disciplines based on keywords, authors, or the journal in which it was published from. Here is the link to the repo. Our findings, though conflated with a handful of confounding factors, revealed that there was an abundance of COVID-19 papers related to mental health and infectious disease.
