Category: analysis

Marble team performance in Marbula One

Race tracks. High stakes. Rabid fans. Marbles…? Marble racing has taken the world by storm in 2020. Unless you’ve been living under a rock — which is entirely understandable given the state of the world — you’ve probably seen marble …

A data-driven look at marble racing Read More »

Tagged with: , ,

If you’ve ever watched Major League Baseball, one of the feature points of the sport is the batting line-up that each team decides upon before each game. Traditional baseball logic tells us that speedy, reliable hitters like Trea Turner should …

Does batting order matter in Major League Baseball? A simulation approach Read More »

Tagged with: , , , ,

As I discussed in my last post, certain industries in the U.S. draw a younger (or older) demographic than others. There are a variety of reasons that younger people are more likely to work in a shoe store than a …

How Americans make a living based on their age Read More »

Tagged with: , , , ,

Ever wondered what industries employ the youngest and oldest people? Wonder no more. To create the visualization below, I pulled the employment data from the U.S. Bureau of Labor Statistics web site to rank all of the industries by the …

Top 10 oldest and youngest industries in the U.S. Read More »

Tagged with: , ,

A couple weeks ago, I wrote about my initial efforts toward using machine learning to model the “master equations” that govern the Madden NFL player ratings system. This week, I’d like to put those models to use to compute the …

Machine Learning Madden NFL: The best player position switches for Madden 17 Read More »

Tagged with: , , ,

Last Christmas, BMJ published a funny article exploring the mentions of positive and negative words in research abstracts over the past 40 years. I’ve recreated their research for two of the phrases below — “novel” and “unique.” Your eyes aren’t …

Spurious Extrapolations: Novel and unique research abstracts Read More »

Tagged with: , , ,

For this post, I’m going to test run a new post series called Spurious Extrapolations, where I extrapolate time series far beyond reason and envision what would happen if the trend continued. Let me know what you think of the …

Spurious Extrapolations: What if U.S. college tuition costs keep rising? Read More »

Tagged with: , ,

Last year, I looked at the gender ratios across college majors and discovered an interesting-yet-spurious correlation: College majors with higher male:female ratios (i.e., with more men than women) tend to have students with higher estimated IQs. After much debate, the …

U.S. college majors: Median yearly earnings vs. gender ratio Read More »

Tagged with: , ,

Last month, I wrote about my initial attempts to model and predict the usage patterns of Indego, Philadelphia’s new bike share system. To recap: If you’ve ever used a bike share before, you know that one of the biggest fears …

Analyzing the health of Philadelphia’s bike share system Read More »

Tagged with: , , , ,

Can you guess someone’s age when all you know is their first name? That was the crazy idea behind one of FiveThirtyEight’s articles last year, and their surprising answer is, “Yes.” The idea behind guessing someone’s age based on their …

Can the Name Age Calculator guess how old you are? Read More »

Tagged with: , , ,