Blog
Watching baseball better in 2026
Even though the 2025 World Series ended just a few weeks ago, I’m already looking ahead ot the 2026 season. I watch a lot of baseball. But I don’t have any particular team loyalty. So when I turn on mlb.tv, I often default to Big Inning (which is great), the Yankees (I interned with them for a season), the Dodgers (Shohei), or some random good pitching matchup. My mlb.tv wrapped covered every team.
Who Will Win Season 25 of The Bachelor?
Tomorrow night marks the premiere of the quarantine season of The Bachelor, and the first with an African American lead, Matt James. After the premiere, fans (including myself) will anxiously discuss who could and should win. But super fans have already been introduced to this years contestants, through the official bios on the ABC website. When released, podcasts like Bachelor Party dissected them in incredible depth.
Analyzing Board Game Data: Background & Association Rules
Now that the fall quarter is over and I have some free time, I’ve decided to dive in on some data from boardgamegeek.com. Board Game Geek is a site for all things board games (shock!) and is generally regarded as a great resource for reviews and rankings of games. I found a dataset from kaggle.com, which is basically an export of all games and data associated with them.
Has 'Every Kid in a Park' been successful?
President Obama started the “Every Kid in a Park” program on 9/1/2015. This program allows all 4th graders and their families to get into National Parks (and Monuments, Forests, etc) for free. After a recent trip to Wind Cave National Park in South Dakota where we saw several families get tours for free under this program, Amanda suggested I find some data to learn about the impact of the program. I don’t expect to see any attendance growth from this program until summer 2016 when kids are out of school, since many do not live close enough to parks to visit outside of breaks and 2/3 of NP visits happen between May & September
Analyzing images in Python
As I’ve continued to learn about Python, I’ve been really interested in expanding the scope of what I do beyond just traditional data analysis. One thing that interested me was what I could do with images. After a lot of searching around I found some really helpful blog resources. That last link is where I grabbed the base underlying code for my next project.
Position Players Pitching
Baseball people won’t shut up about position players pitching. The opinions range from “this is fun and weird” to “please just stop.” The light bulb for me was when multiple games had position players throwing multiple innings. I’ve seen these articles and the graphs within, but I haven’t actually found an official source that tracks this stat so I made my own.
Analyzing the top 250 beers from BeerAdvocate.com
In my Python class last quarter, our final project involved using BeautifulSoup to pull in data from a site and analyze it using methods we’d learned throughout the quarter. I chose to look at data on the top-250 rated beers on BeerAdvocate, which is probably the most known beer review/rating site on the internet.
Is the home run revolution still happening?
All baseball has been talking about for the past few years has been the rise of home runs.