Month: March 2025

Other than doing basic statistics for the datasets, I’ve been trying to map the locations for each of the riots. The United States was easy since I could basically reuse my code from the beginning of the semester, but mapping the Indian dataset has been difficult as the geospatial files for Python are documented very well.  Outside of that, I also want to look into what types of corporations are associated with the majority of protests.

Lastly, I’ve just been revising my report on the Police Shootings data.

This week marks the second half of the semester and we’re moving on to a different dataset. The data that we’re looking at is for protests, bothe peaceful and violent, in the United States and India. I’ve only just started looking at the data, but one thing that sticks out to me is the notes column. I don’t know how successful it will be because the notes I’ve seen so far are very fact driven, but I’m curious about running a sentiment analysis on the notes.

Spring break is around the corner and I’m currently making so last minute changes to my report on the police shooting data. One thing I’m think of is creating more plots since my code currently focuses around text outputs. Other than that there’s not much going on this week.

As the deadline of the report approaches, I’ve fully switched my focus over to writing it. One thing I wanted to try and include where statistical tests, mainly to compare the different groupings I made of the states for my gun law research.

1. On the topic of gun laws, this week I’ve been looking into an interesting question: Does a lower proportion of crimes where the victims were armed with guns mean that the people who would’ve committed a crime didn’t or are they just commiting the crime but armed with something different? This was actually a question my mother asked when I talked about the data with her last weekend. I’ve been trying to answer it using the average frequency of police shootings for each gun law grouping.