Triangle Public Data

A Screenshot of Durham Larceny Case Data

Inspiration

We wanted to help the local community in the most efficient way possible by analyzing trends and patterns with reference to crime data and important community data in order to develop a screenshot of the Durham area.

What it does

Using ArcGIS technology on the ESRI platform, we were able to create a tool that can visualize the intersectionality of multiple data points over a geographical region.

With the analysis of local crime, education, and city data we were able to extrapolate and optimize key locations around the Triangle such as Police Stations, Churches, and Fire Stations using this intuitive and powerful tool.

We decided to portray these data through these graphs not to suggest definitive solutions to the issue of resource misallocation within Durham county, but rather to demonstrate the reality that even the most basic of public services and resources inherently show bias towards different communities, thereby suggesting that more concrete answers must be developed in the future to address the issues of social inequality.

How to Use

To use the web application, download the folder as a zip file from google drive, extract and run MainPage.html in Chrome.

How we built it

We developed multiple sets of data after which we ran coordinates for crimes, buildings, and other data points through the esri platform to develop interactive map platforms through which the user can explore the various elements of intersectionality with reference to the Durham area.

Challenges we ran into

One issue we ran into was the parsing of data into a usable form, particularly as we attempted to expand the range of our website to the Chapel Hill and Raleigh Areas.

Accomplishments that we're proud of

One particular accomplishment of which we are proud is the learning and utilization of the esri API with dynamic data points to demonstrate the background of intersectionality of social elements.

What we learned

Throughout the process, we learned primarily how to utilize the esri API platform, css implementation of HTML and Javascript, and the parsing of large databases utilizing python. Furthermore, we were able to flesh out our skills at web developing by creating a robust user interface in terms of map interactivity and general aesthetic.