Map Hacking NYCT Subway Station Conditions, Part I

There’s probably a name for someone who takes the data from someone’s map and creates a whole new map based on it because they thought the first map didn’t do the data justice. I’m sure the name is not pleasant and I’m also sure it applies to me. After hearing about the Citizens Budget Commission interactive map […]

Demography and Subway Fares Part 1: MTA Fare Data

Note: This is part of a project I completed as part of a Data Mining class looking at using demographic data to predict fare type usage on the New York City Subway System. I’m publishing posts on the methods I used to analyze the data and the ultimate results in a series of blog posts. […]

Demography and Subway Fares: Introduction

This past Fall, I attempted to use US Census demographic data to predict fare-type usage on the New York City Subway system using a number of different machine learning algorithms.  The intention was to see if it was possible to predict the fare-type used at a particular subway station based on demographic information for the […]