Data analytics + ML approaches for evaluation the % of poor restaurant inspections for grades ‘B’ and ‘C’ in a neighborhood (zip code).
Evaluate the % of poor restaurant inspections for grades ‘B’ and ‘C’ in a neighborhood (zip code). Get the health complaints specific to Gastrointestinal disease cases from 311 data and aggregate at zip code level.
MUNI project is based on two datasets (311 service requests from 2010 to present, DOHMH New York restaurant inspection results) which were obtained from the following sources respectively:
https://data.cityofnewyork.us/Social-Services/311-Service-Requests-from-2010-to-Present/erm2-nwe9
https://data.cityofnewyork.us/Health/DOHMH-New-York-City-Restaurant-Inspection-Results/43nn-pn8j
This project only contains Python code. The amount of data used is well beyond GitHub's size limit so you should download it on your own (links provided further).
- Download required packages from requirements.txt
- Download the data: