Steven Jarmell : Email- sjj27@pitt.edu
Connor Sibley : Email- cos73@pitt.edu
Gaige Hailey : Email- glh31@pitt.edu
One dataset that we used was Fire Incidents in City of Pittsburgh. This dataset records every time that a fire alarm occured, when it occured, what type of fire it was, and which neighborhood it occured in, amongst other bits of information. Link :https://data.wprdc.org/dataset/fire-incidents-in-city-of-pittsburgh
Another dataset which we used is a dataset of restaurant inspections in Pittsburgh. This data set records the type of restaurant being inspected, when the restaurant is inspected, where the restaurant being inspected is, and the status of the inspection Link: https://data.wprdc.org/dataset/allegheny-county-restaurant-food-facility-inspection-violations
The third and final dataset we used is a dataset which records asbestos permits in Pittsburgh and this shows where the permits are for as well as if the asbestos was removed from the building or not Link: https://data.wprdc.org/dataset/allegheny-county-asbestos-permit
TLDR: The best neighborhood in Pittsburgh is Hays.
By using datasets for fire alarms, restaurant inspections, and asbestos permits/removals, our group has concluded that Hayes is the safest neighborhood, and thus it is the best neighborhood. When we combined the datasets, Hays had the lowest average value of 3, which indicates that it is the best as it had no restaurant inspection failures, no asbestos, and only 3 fire alarms.