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London Fire Brigade Dashboard

This post was originally published on The Data School blog between 2018 and July 2025, before our program was renamed to MIP’s Analytics Career Accelerator. References throughout this article to “The Data School” or “DS” all refer to what is now MIP’s Analytics Career Accelerator. The program, its people, and its commitment to launching outstanding analytics careers remain the same – just under a new name.

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This blog will go through the process of creating this London Fire Brigade dashboard and what insights we can get from it.

The top 3 metrics demonstrate the total number of incidents, average notional cost and number of calls respectively.

The drill-down bar chart shows the number of total cases by different incident categories and if you click the bar, it will drill down to the incident type.  The chart will also work as a filter to filter the rest of the charts in this dashboard.

The Right bar chart shows the average number of pumps for different property categories. You can find that fires that happen on aircraft usually need more pumps to eliminate.

The two bar charts below show the number of incidents distributed between hours of a day and months. You can find that the number of incidents peace between 17:00 and 19:00 at the daytime level as well as a peak in July at the monthly level.

At the bottom of the dashboard, you can see a map that demonstrates the number of incidents between different Boroughs. Because the area and shape of different boroughs are different, this map is not efficient to precisely demonstrating density.

To tackle this problem, you can switch the parameter at the right top corner, and then you will get a hexagon map. The color of different hexagons indicates the density variation.

If you click one of the boroughs on the map, there will be a map that is at the Ward level will pop up. You can also see the density distribution in the lower-level map.

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