Teaching Analytics to NYC Employees: Why Teach Analytics?

This blog post is part of a series of posts I’m doing outlining the experiences I’ve had in a year of teaching analytics classes to NYC employees. For more information on the courses I teach, see the Github repository of course outlines and other important information as well as the other posts in this series. The […]

Mapping the NYC Subway Transit Sheds

I’ve been fascinated with the idea of a transit shed since I first encountered it studying the transit system in New York City. The idea is similar to a watershed, the area drained by a particular river. Public transit lines are like rivers of people, feeding them into the great reservoirs of jobs all around […]

CorridorScope – A Day in the Life of Water Street

    According to IBM, we generated 2.5 billion gigabytes of data every day in 2012.  One of my passions is making that data comprehensible, especially when it concerns cities and the urban environment. Which is why I was excited when I found out about the BigIdea sponsored by the Alliance for Downtown New York for […]

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 […]