Data-Driven Government, Part II

As I wrote about in a recent blog post, I’m interested in the idea of building and fostering a data-driven culture within government and non-profit organizations. My inspiration is the work of Carl Anderson and his book Creating a Data-Driven Organization. While I’d been intending to let these ideas ferment ahead of the NYC DCAS […]

Data-Driven Government

I think like most people, I often use the adjective “data-driven” without having really thought about what it means. I often use it in my data analytics classes as shorthand for how government can be led by data without stopping to discuss the concept or even explain the term. A recent webcast with Carl Anderson changed that. He was talking […]

Mapping Vehicle Commuters in New York City

Because many good things come in threes, I thought I’d round out this series of posts (looking at subways and bus commuters) on commuting trends in New York City with a look at vehicle commuters with this map: As before, this uses data from the US Census Bureau 2009-2013 American Community Survey 5-Year Estimates. It’s […]

Mapping NYCT Bus Transit Sheds

Alon Levy left a comment on my post earlier today about NYCT Subway transit sheds asking about bus travel. The code I’d written to access the Census API was easy to customize and I just swapped out the subway trips for bus to get this map: As I mentioned in my previous post, relatively few people on […]

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 […]

Hello World – Urban Data Edition

I was recently asked to help teach business analytics for the City of New York Management Academy and in putting together an appropriate practical exercise, I thought about what made for the best introduction to the world of urban data.  In programming, there’s almost always what’s called a “Hello, world” exercise that gets programmers to be started with some tangible […]

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. […]