Tag: data science
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GROGPOD: the Going Rogue Gaming Podcast
I’ve complained a lot about roguelikes recently, so it’s only fitting for me to start a podcast on one. This will be a once-every-two-week show focused on the top 100ish roguelike games to release on Steam since 2011. Why so specific? Partly because Steam has the best data for this kind of thing to collect […]
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No One Knows What a Roguelike Is Anymore
2022-05-04 edit: credit where credit is due: it seems like Steam has updated some of this data, so “The Problem” section is a little bit fixed. The ideas explored in “A Linguistic Solution” are still relevant, though. Original post follows. I was super excited to see Steam’s most recent themed sale around Roguelikes. I’m a […]
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Steam Data Science – User Engagement Profiles
An early question that motivated the design of my steam_data_science python repository was trying to answer “how much do I really like this game?” The idea originally started because a lot of previous analyses I’ve done always relied on just raw user playtime data to do stuff. The problem is: a lot of my data […]
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Introducing the Steam_Data_Science repo!
A lot of my blog posts have been about the data science of the video game world. In an effort to consolidate my projects into one location specific to the Steam platform, I’m launching the Steam_Data_Science repo on github. The idea here is to collect all sorts of interesting functions to answer questions like: What […]
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Recommendation Systems with Python: steam_augury
*** For those just interested in the code and running it, you can find it off my github here: https://github.com/ScottBurger/steam_augury I’ve been interested in recommendation systems for a while and I thought I’d try my hand at a new implementation in Python. My previous version, built in R, leveraged lots of data pulled from […]
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Time to buy an AC unit in Seattle yet?
Yesterday was hot. Like really hot. According to reports, a new hottest June 12th in Seattle was recorded at 95 degrees (35 C). This is roughly how it felt walking outside briefly yesterday for me: Many in other parts of the US where it regularly gets that hot in the summer will laugh from […]
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Bike Racing and Clustering
This cycling off-season, I’ve been experimenting with races on the game platform Zwift. These are cute online races where your digital avatar races against other real people at the same time by connecting your bike’s power output through a stationary trainer to your computer. These races are put on by various communities like World […]
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The Data Science of Board Games @ PAX West
I had the great privilege to give a talk on using data science on data from the board gaming world this year at PAX West. The source data and code used in the talk can be found my github account: https://github.com/scottburger/pax17. The presentation slides can be found below: Over 300 people showed up to the talk, […]
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Steam Games and Recommendation Systems
Every so often I’m at a loss to suggest what game I should recommend me and all my friends get together and play. Sometimes I’m at a loss for what game even I should be playing. After ruminating and playing around with some modelling scenarios, I think I may have designed a pretty decent game recommendation system […]
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Sentiment Mining of Steam User Reviews
It’s often hard to figure out ways to review a product. How do we determine if it’s worth our time and focus? How do we assess what other people think about that product? In the case of the gaming sector: is it good enough to warrant me playing it? In 2015 I gave a talk […]
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