General Election: 2015 Data - Turnout Data

Link for fly-through: http://live.datascapevr.com/viewer/?wid=c26b2318-ec14-457a-9ae5-dc64bc0fc6e1


Just testing out a minor update for Datascape when I decided to plot the 2015 General Election results data on a scatter plot, not geographically. I chose:

• X: electorate
• Y: Margin/majority
• Z: Turnout
• Size: Size of UKIP vote
• Colour: Winning party

A quick fly around of the data revealed a number of interesting points:

In the high margin/majority space it is the Conservatives that dominate. More big majority, safe homeland seats.

It is at the small majority end where we tend to see the smaller parties - few of them have massive majorities in their seats.

 The SNP wins are generally associated with very high turnouts. The dots (yellow) are small as there was minor/no UKIP voting and that is what we've mapped to radius.

And the most striking - looking at the turnout axis the Conservatives dominate in the high turnout seats and Labour in the low turnout seats. Cause or effect?

Update: 7 June 17

Here's another visualisation we really like - just showing the vote for each of the main parties across all the constituencies. The fly-through link is:

http://live.datascapevr.com/viewer/?wid=7959ce9e-5cce-4b7d-8dd4-44adeddea7e7

2015 General Election Results - Risk vs UKIP

Click link for live 3D fly-through: http://live.datascapevr.com/viewer/?wid=31a96f33-6196-4dcb-b408-4e1c6fa6aee9

We've started to play around with election data in Datascape. We're not political analysts, so please forgive any errors/simplicity in the analysis - we're just seeing if we can get Datascape to give us some interesting views and perspectives on the data.

In this visualisation we've plotted the 2015 results for each constituency (exc NI - the ONS file doesn't have the geocodes).

The key is:

• Colour = winning party
• Height = 1/margin between 1st and 2nd place
• Width = Number of UKIP votes

Broadly speaking if any column has an obvious thickness to it then the number of UKIP votes is at least the size of the majority/margin. One of the current lines of analysis appears to be that many of the UKIP votes will go Conservative - so Labour (red)  seats with a reasonably small majority (almost any appreciable height on our visualisation), and with a large UKIP vote (any width) could be good candidates to go Tory.

In the office we're going to start to work from this and other visualisations our predictions of which seats are going to switch, and if we're brave we'll post it here the day before the election!

Just click on the link above to fly through the data, and hover over any bar to see the detail. If you've got Google Cardboard then you can even fly through the data in VR!

Note: You might see that there's a UKIP win over the Greens in Buckingham in middle England - which didn't happen! The reason is that the ONS/Electoral Commission data for that seat appears to be missing entries for the 3 major parties (and others) - so according to the data it's a UKIP win. This actually highlights Datascapes ability to immediately draw the eye to errors in the data!

General Election data in Datascape #1

With the General Election looming in the UK we've been after getting consitituency location data into Datascape so we can do some good plots of the historic, poll and results data. Finally tracked down as good source at the ONS Open Geography portal - thanks guys.

Above plot shows each constituency centre point and a rough idea of its size. We're not doing detailed boundary stuff yet - would be hard to see for whole country anyway given the huge range in sizes - most 2D maps use pop-outs for the major cities.

There will no doubt be issues over a) boundary changes and b) non-standard spellings of constituency names - but at least it gives us a start!

16:39 Update

And first plot already - merged in electorate (height) and 2015 turnout (colour).

Click on the link below to launch in your browser or view in MobileVR on your smartphone/Cardboard.

http://live.datascapevr.com/viewer/?wid=4d3a9f46-fca7-4bf5-923e-535483fd5b8e