Hi, I'm Andrew
I'm a finance and economics journalist based in New York. I'm also interested in photography and data reporting.
As published in:
Words
What 'Tintin' Tells Us About Imperialism
Belgium’s most famous reporter exposes the contours of European colonialism.
For Many Millennials, Homeownership Is Still Out of Reach
Buying a home has long been considered the gateway for building wealth. But for many, that gate remains firmly locked.
Dollar General Gets a Slow Start in Healthcare Race
While DG has expanded its selection of health products, the goal of providing services remains distant.
Last Mile Warehouses Raise Questions in Hunts Point
New logistics centers could increase pollution and congestion in a neighborhood already known as “Asthma Alley.”
How to Spend "The People's Money"
Mott Haven residents proposed programs under the new participatory budgeting process.
AOC's Career Comes Full Circle
After the latest redistricting in the Bronx, Rep. Ocasio-Cortes returned to the place where her career started.
Inflation, Theft Put Retail Stocks at a Discount
Bargain stores like Dollar General, Dollar Tree and Big Lots have dialed back their earnings as consumers feel the pinch.
Semiconductor Manufacturers Face Talent Shortage
The CHIPS Act is bringing semiconductor manufacturing back to the U.S., but finding workers will be harder.
Welcome to the "Battery Belt"
Electric vehicles are creating a new manufacturing industry in the rust belt.
The Hinman Paradox
Ripple’s legal game plan in its lawsuit with the SEC over the status of its XRP token.
The Crypto Casino
Reflections on the blockchain and crypto industry after two years as a crypto journalist.
Meet Your New Dealer
Interviews with four drug offenders who are now applying to run a legal marijuana dispensary.
Data
Python/ Google Sheets/ Datawrapper
I created the DG Distribution Map to visualize the rural density of Dollar General stores. It uses a three-layer scrape to generate a list of stores by town, and a vertical lookup to find the numerical County Code associated with each town. You can find the original code in my GitHub repository.
