A couple months back, I worked on analysis and predictive modeling of US salary given census data. Full Jupyter notebook here, below are some details and some of the more interesting findings.
In general, metadata is below and contains lots of null values (as you might suspect of census data).
Continue reading “Income Analysis – US Census Data”
I recently had access to a lot of baseball data, specifically data on every season of every player in the history of the MLB going back to 1871. Here’s some analysis on how baseball players lose speed and strength (or both) throughout their career. Analysis primarily consisted of variable creation and data queries. Unfortunately, code not available 😦
Continue reading “What Goes First – Speed or Strength?”
How does front page news track a single topic over a period of time? What’s the media’s attention span for a given story?
In general, many find it surprising how quickly major media outlets shift their attention from one story to another. This is partly a reflection of our own attention spans and appetites, and is partly due to the fact that media organizations are incentivized to be the first to break news; as a result readers are more likely to be bombarded with what’s novel instead of what’s important. Continue reading “Article Classification and News Headlines Over Time”