The ONS provides a shapefile for parliamentary constituencies

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Which can be linked to the constituency name and any differences ironed out using the technique described earlier. There are a number of interesting ways in which we can colour this map. One way would be to shade each constituency by the majority to see if there is any interesting geographical basis to where taiwan telephone number the election battlegrounds will be at the next election. In the screenshot below, the darker reds are highlighting the constituencies with smaller majorities.

Customised colour scheme

However, we can also colour this map using a customised colour scheme. One such example would be to colour each constituency by a colour that is representative of each political party. The map below shows this in action. I have linked the colours to the values of a metric of the winning party that then shows the concentration of Labour seats in urban areas around London, Birmingham, Manchester and the South Wales valleys and the huge tracts of more rural seats across the south of the country that are represented by Conservative MPs. The legend on the right has been customised so that rather than showing a numeric value it shows a more representative textual value for the colour.

Election map

One weakness of the above visualisation is that in this particular example each geographical seat has an equal weight interpretation (they each send 1 MP to parliament). However, the larger geographical area of the Conservative seats means that our first reaction is that there must have been a huge majority.



An abstract shapefile with equal sizes for each constituency laid out in such a way to try and best preserve the geographical representation can help in these instances, although they have to make simplifications on how to map the original shapes to the hexagons. The example below shows the same data as above but utilises a shapefile that represents each constituency as a hexagon. It clearly shows that there are more Labour MPs than we imagined when we saw the first visualisation.