Visualizing an Election
We extended our 3D (VR) dataviz component to visualize an election datasets, showing a geographic hex-map for the UK constituencies and a radial chart showing the party sizes
Working with a dataset for the 2019 UK general election, we added some specialised data reflections to our 3D VR/AR dataviz component. With each row of our dataset being represented by a circular visual marker, the position of these markers is transitioned to reflect the chosen representation. For example, if the representation is a geographic hex-map we use the constituency IDs as an index to a hexjson file storing their hex positions. Those target positions are then used to move the markers from their current positions (e.g. as parts of a bar chart).
The video below shows the new data reflections as well as the existing bar (waffle) chart and 3D chart. The visualization has a fixed party color group:
- A hexmap of the UK constituencies. Hexmaps are a great way to represent geographical data without the usual metric distortions of a conventional map, where geographic area is used to represent a non geographic metric such as voting.
- A conventional radial chart to show the voting proportions and easily indicate that one party has passed the 50% parliamentary majority marker.
- A tabular chart, allowing comparison of various election metrics such as voting majority, turnout, absolute number of votes etc.