One of the things that lights my brain up is bring able to process, analyze, and visualize cool datasets. I’ve been incredibly fortunate to be able to make a living out of that. This tag is a catch-all for projects related to data processing, statistics, and data engineering.
#data
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Recent Posts
A Pattern Language, and a Beautiful Day in the Neighborhood
— The beginning of a topological review of the 1977 urban design and architecture reference book A Pattern Language, and a journey to understand Earth's greatest graph: the Earth, itself. (12 min read)
The Advantages of Advantage: Intro to Probability Convolutions
— What *is* the advantage of rolling with advantage? Exploring dice roll combinations and probability convolutions. (8 min read)
Dice Roll Distribution Widget
— Discover the probability distributions of different dice roll combinations (1 min read)
LLMs: A Primer Presentation for Our Newest, Scariest Tool
— An engineer-focused primer on the mechanisms that drive Large Language Models. Basics on how we got here, how they work, and how to use them without feeling an apocalyptic dread.
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Some initial thoughts about time tracking
— TODO. (1 min read)
Don't Double Down: Structured Streaming to Wrangle Data
— Stop reprocessing your entire dataset every time new data arrives. A practical guide to Spark Structured Streaming with code examples and cost logic. (9 min read)
Littlefield Simulator: The Art of Laziness
— Efficiency: spending six hours building a web scraper to avoid five minutes of daily work. Automating a business simulation because checking in is for chumps. (8 min read)
Entries to SOME 1
— Stable matching, optimal stopping, and Bachelor analysis - visualized with some care. (1 min read)
Utah Office Consult
— People problems are the hardest engineering problems. A consult on thinking out-of-the-box to explain morale problems in small companies.
College Admissions and the Stability of Marriage
— My college presentation on the Gale-Shapley paper, recorded on an iPad, like a true professional. Non-market environments, matchmaking lattices, and gratitude for good professors. (1 min read)
What *are* Supply Chains, Anyway?
— A first foray into network visualization: messy graphs, abject terror. Early data viz experiments searching for supply loops. Bad graphs; interesting questions. (2 min read)