The title of my project is an "Analysis of Dublin Fire Brigade and FDNY Ambulance Responses". For the purpose of my analysis, I used 2 datasets. The 1st dataset focused on the Dublin Fire Brigade (DFB) Ambulance Service jurisdiction, and the 2nd dataset focused on the Fire Department New York (FDNY) Ambulance Service jurisdiction.

The DFB dataset is a private dataset which was provided to me upon request from the Senior Communications officer of DFB. This dataset is primarily time and categorical data, which I manipulated it to introduce numeric data for additional analysis. The FDNY dataset is a public dataset which I located on data.gov. This dataset has a combination of numeric, categorical and time data.

The goal of my project was to analyse and identify common factors that results in the delay of an ambulance arriving to the location of a call, as well as the nature of the calls, locations that the calls were coming from & with the use of machine learning, perform predictive analysis to identify the future outcomes based on the data being analysed.