My other interests include economics, public health and life sciences research. I’ll write about some of these topics when I know enough to be competent, otherwise I’ll stick to summarizing the views of others.
A Flask web application for checking your email via text message. [source]
A Flask application that scrapes websites, indexes them, and creates a graph visualization of the linking structure. [source, demo]
A simple todo app written with React, Node, Express and Ajax. [source, demo]
This site, built with Jekyll and hosted on GitHub. Based on the Minimal-Mistakes theme. [source]
A CRUD web application for local restaurants built with Python, Flask and SQLAlchemy. [source]
I like asking questions and trying to answer them with data. My tools of choice are Python, Jupyter Notebooks, Pandas, Matplotlib, D3.js, Requests and Beautiful Soup. Most of these projects would be considered “data analysis” rather than “data science”.
I have a number of notebooks on Jupyter NBViewer outlining most of the work I’ve done: [source, demo]
I’m a fan of using D3.js to create interactive visualizations. A few of them are here: [demo]
A public health data visualization built with D3.js. [source, demo]
A interactive D3 visualization showing global overweight and obesity trends from 1990 to 2013. [source, demo]
Optimal Transit London:
Using a genetic algorithm and the Google Distance Matrix API to find the optimal sightseeing route through London. [source, demo]
|Basic||Scraping, Pandas, NumPy, Conda||Node, Express, React, jQuery||Postgres, SQLAlchemy, SQLite, bash, Bootstrap CSS, AWS|
|Intermediate||Flask||D3||Git, Google App Engine|