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QualityOfLifePredictionInBaltimore

Rishabh Sachdeva, Shaunak Pagnis, Vaibhav Goyal.

Datasets used:

  1. 311 requests: https://data.baltimorecity.gov/City-Services/311-Customer-Service-Requests/9agw-sxsr

  2. 911 calls: https://data.baltimorecity.gov/Public-Safety/911-Police-Calls-for-Service/xviu-ezkt

  3. quality of surface water : https://data.baltimorecity.gov/Public-Works/E-Coli/rj6r-dhvi

We performed data pre-processing, built scores that quality index for locations at Baltimore and visualized the interesting facts observed. Further, merged the scores to obtained to evaluate final quality index and developed a model to predict the quality of life for a given zipcode six months down the line.