It's been a while since my last post, as things have been quite busy with college applications, but I have worked a bit on my new project and just wanted to post a quick update here!
The new data I'm working with centers around voter engagement at the local, state, and national level. I started by analyzing voter registration, first as compared to precinct and then as compared to student status. I followed those results with analysis on the civic engagement score, a precalculated number that factors in various different aspects of voter engagement, allowing for a more balanced view across precincts and students vs. non-students. Together, this code should shed light on whether there are differences in voter activity between different precincts, and whether students exhibit different engagement patterns than their non-student peers. After extracting those key sections of the data, I moved on to what I'm currently working on: finding out whether there are correlations between civic engagement and more environmentally focused statistics like water or energy usage. Ideally, all of the functions I'm creating analyze different key cross-sections of data, and will work on any batch of data formatted in the same way as our SQLITE database. In the future, I hope to configure it so that users can compare data points over time, rather than just seeing an overview of the current conditions. But first, I plan to create visualizations for these key points, and expand the project's scope further toward a fuller picture of engagement statistics. Comments are closed.
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AuthorI'm a high school senior and programming enthusiast. Archives
March 2022
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