Analyzing NYC Collision Data Using the Wolfram Language (2016)

I came across the vast public database provided by New York City – NYC Open Data. In the treasure trove of data, what caught my eye is the traffic accident database. It contains detailed data for the vehicle accident data happening in New York City, such as when and where an accident happened and the reason of the accident. I was about to start learning the Wolfram Programming Language at the time, and decided the traffic accident data can be the perfect data for me to learn how to conduct visualization and analysis in the language.

For the project, I focused on the creation of visual data such as word maps for causes of traffic accidents, geo maps to indicate geographical distribution of the accidents, charts for the analysis of accidents by borough, time of day, etc.
My ultimate goal is to be able to deploy the visualization and analysis result in the Wolfram Cloud such that it can be made accessible in various platforms, from the web, to mobile devices, and even smart watches.
A summary of my work is posted on the Wolfram Project Community.

Analyzing NYC Collision Data Using the Wolfram Language

Alyssa Tam