Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/22ayaan/safe_neighbourhoods_pittsburgh

Algorithm that uses datasets of different categories to determine the safest neighborhoods in Pittsburgh
https://github.com/22ayaan/safe_neighbourhoods_pittsburgh

Last synced: 10 days ago
JSON representation

Algorithm that uses datasets of different categories to determine the safest neighborhoods in Pittsburgh

Awesome Lists containing this project

README 

        
# Big Ideas Final Project - Team NAB

---

This is the repository for the final project in Professor Arjun Chandrasekhar's CMPINF 0010 course. We are tasked with finding the best neighborhood in Pittsburgh based on datasets from the WPRDC database, and using the Pandas data visualization library of the Python language to communicate our results.



## Nikhil Roy, Ayaan Siddiqui, Brayden Yan



For our project, we picked three factors that we thought were most important for the determination of a good neighborhood. The Pittsburgh SNAP Census datasets (2010) had all the information we needed, indexed by neighborhood. The factors we chose were natural environmental conditions, health/safety, and housing.

---

## Data Sets

---

These datasets are all from the Pittsburgh SNAP Census data from 2010. Each of these datasets was indexed by neighborhood



  ### Public Safety

      https://data.wprdc.org/dataset/pgh/resource/204f63f4-296f-4f1d-bbdd-946b183fa5a0

  

  ### Housing 

      https://data.wprdc.org/dataset/pgh/resource/94f8eda2-fa77-49a2-9190-3a6ed85fc561?inner_span=True

      

  ### Natural Environmental Conditions

      https://data.wprdc.org/dataset/pgh/resource/9c46a88c-8fca-4839-9848-c2b819ecbf0f?inner_span=True

---