and the Future of the Job Market

Before the Coronavirus, the killing of George Floyd and the “shenanigans” surrounding the current presidential election together eclipsed virtually every other issue, I began a data visualization project examining the comparative benefits and demerits of levying tariffs for the purpose of raising revenue versus protectionism. In this article, I will revisit that project, and share the insights I gained from it.

Theory

Matt Groening’s Inspiration for Mr. Burns?

Before jumping into the project itself, I think that it would be prudent to review what classical economic theory has to say about levying tariffs. The 19th century French economist and legislator, Frédéric Bastiat (pictured above), satirized the practice…


The Story of the Web App That Helps Digital Nomads Find Their Next Home — Continued

Visualizations Shown in App for Locale, Salt Lake City, UT

Where We Left Off

In a previous article, I discussed the planning processes and initial implementation of the Citrics web application. In particular, I related the need to clean up the API, removing superfluous routes so that it would be readable be more readable for the current web development team and the team that will take over the project this November. I also related my idea to use route referencing and cache-in on the power of our PostgreSQL database, the former reducing the number of redundancies in our code, the latter reducing the number of calculations performed by the API.

Post-Implementation — A World of Difference

Cleaning Up the API Routes

I believe my reader…


The Story of the Web App That Helps Digital Nomads Find Their Next Home

Home Page

Description & Architecture

Citrics is the first web application I have worked on with a production window longer than a single week. The app is designed help answer a common question plaguing digital nomads, where should I go next? Working as a data scientist on a team with seven other people, we set out to build an app that would allow users to compare certain key metrics for various cities in the United States — hence the name Citrics = “City” + “metrics”.

The application is actually composed on three main components, the web application itself, the Data Science API we built for…


I have always felt that to be successful in any field requires the ability to not only use tools which others have built, but also to have at least some basic knowledge of how those tools work under the hood. Data Science is no exception. Those of us who do work in Python have been richly blessed by the folks who put scikit-learn together, but how many of us have actually taken the time to attempt to replicate one of their functions from scratch, let alone the hard way? By the hard way, I mean researching the algorithm yourself, either…

Samuel Swank

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