For this week's Tidy Tuesday, we looked at earthquakes around Mt Vesuvius. I was interested in how many earthquakes were recorded each year, and how that was related to their average Duration Magnitude. I tried to use a dual axis graph for this, but these are generally advised against.

Finally, I had this pretty crazy beeswarm plot for traffic fatalities. Colors correspond to days of the week. I'm not sure how useful this kind of plot is, but I thought it was worth experimenting with.

I have another box plot by months of the year. There isn't as much variation here, though January, February, and March tended to be safer.

A few weeks ago, we looked at car crash fatalities. I was interested in seeing which days of the week and months of the year had the most car crashes.

It's been a while, but I wanted to share some visualizations I made for the last few Tidy Tuesdays, though the topics for the last few weeks have been depressing to say the least. First, I have this bar graph showing how science grant terminations are distributed across different categories.

For this week's Tidy Tuesday, we looked at general healthcare data from the United States from 2023 to 2024. This was a really tough dataset to wrap our heads around initially. I have a graph of the Top 10 States with the highest percentage of healthcare workers up to date with the COVID vaccine.

For this week's TidyTuesday, we played with a dataset of Pokemon stats and other features. I wanted to show how fully evolved Pokemons' strength has changed over the generations.