So for dashboard week day 2 we were given a set of data looking into fire incidents around London. Within this dataset you could find things such as the latitude and longitude for the incidents reported, the time it took responders to arrive, the types of incidents and so on. Been such a rich dataset it was easy to find things to explore that would tell a good story. I first went out of my way to look at frequency of fires and what location they were around. This meant taking some previous data on the borough’s geographical data and relating this to our new data set. From here we could see what were the Westminster had the most reported incidents across all of the boroughs.

From here we then used this geographical information to build up the story. This included looking into the wards (the smaller geographical areas)   and seeing if there was any correlation in amount of wards in a borough and the number of fires reported. The answer is no…
Then I wanted to see the crime report data and see if property damage and arson played a large role into the number of fires. Also no. From there I explored the idea of costs taken in by the different reports and how it would change from fires to false alarms. That had more of an interesting relation to show how much more expensive it is to respond to false alarms than anything else.

Stephen Hughes
Author: Stephen Hughes