A shiny app, model of carbon compass for NYC buildings.
Created a demo app (currently not active) on AWS of my scientific publications search engine that uses latent semantic indexing and PageRank algorithm to recommend papers in the condensed-matter materials-science subfield. Source code.
MTA has publicly available datasets on turnstile activity. The data is recorded weekly. Here I analyze the collected data in a certain time interval (end of April through beginning of June). I identify the most frequent subway stations and the busiest times on a given day of an average week (Monday, Tuesday, .. Sunday). As expected, the commuter hub stations such as 34St - Penn Station, 42St - Grand Central, 34St - Herald Square or 42St - Times Square show most turnstile activity. The goal of this brief investigation is to find other frequent commuter stations that might not be easily identified based on transit patterns.