With an election coming up, thoughts turn to registering to vote; campaigns at all levels will start encouraging people to register and participate.
From an open data perspective, the we want to know what could be learnt about electoral registration from the data held locally or in national sources and could it be used to help increase registration levels?
A sub-set of that question was then ‘how can we understand which areas have higher or lower levels of registration in Bath and North East Somerset?’.
This post intends to show it is possible (and reasonably easy) for anyone to run a quick analysis to answer these questions, provided the local authority is willing and able to release some electoral registration statistics.
We were able to achieve this to a small geographical level and publish some findings reasonably easily and it should be easy for any local area to repeat this.
Continue reading “Using open data to understand voter registration levels”
I was fortunate enough to get the opportunity recently to talk with friends at Bath:Hacked about local geographies. This was in part to advertise the upcoming Boundary Review of the area, but also a chance to reflect on the many ways we slice and dice the local authority area.
This was something of a semi-structured ramble through geographies against the ONS’ rather wonderful hierarchical representation of statistical geographies.
In practice, particularly when thinking about any locality, its geography is intertwined with its history, its natural and ecological setting, its psychogeography (if you’re into such things) and so forth. But those caveats notwithstanding, it was a fun exercise.
Download the slides here.
Previously I’ve managed to display a simple d3.js visualisation on the site through a couple of different methods. Next step is to go from proving a general concept to actually displaying some data that might be interesting.
Continue reading “D3 learning Part 3 – linking to live data”
The BBC recently published a piece on small area referendum voting data. The information was gathered, through Freedom of Information requests, from less than half the local authorities (acting as ‘designated counting areas’) who administered the referendum. It’s a rather problematic piece of work.
This analysis is riddled with errors; there could be evidence of illegal practice; there are clear opportunities to improve practice around election data and the implications of this release have relevance to other realms of government data.
Continue reading “We need to talk about (the small-area) Brexit (voting data)”
Pressures on local government are well documented; the pressures faced by local government research (by which I mean analytics in all its flavours) maybe less so?
Continue reading “Four reasons local government data got difficult.”
In fiddling around with wp-d3 I found myself getting increasingly confused. Particularly when faced with code that looks like this. It wasn’t at all clear* how to translate it into something that would be understood by the plugin.
Once again I returned to searching and this time came across this tutorial, which used an iframe (I’ve come across these before in embedding tableau content in our wiki – they’re sort of a window to point to content somewhere else, I think?)
This approach to cut/paste/load seems infinitely more intuitive to me than the wp-d3 approach and seems to have delivered something reasonable. I’m sure there are 1001 great reasons not to take an iframe approach, but this seems to have worked…
Next steps are to get some real content into this and then start fiddling with the design…
*big caveat – neither should it be: I am not intending to be critical of it, just that it made no sense to me as a complete newcomer to this.
First in an occasional series, maybe?
I’ve long been of the opinion that anyone who’s going to want to be anywhere near employment in the analytics market is going to have to learn to code sooner rather than later.
No, don’t panic, I’ve not done that.
Continue reading “Friday Lunchtime Learning – First Time with D3”
Six months ago we stopped trying to spin-out. We accepted that the project that had taken over nine months, a large number of meetings and a lot of very late nights may not happen.
Continue reading “We stopped spinning out; what happened?”
Our proposal was to ‘spin out’ a council team and create a social enterprise providing accurate and up to date information, facts and figures to inform local decisions.
Continue reading “Spinning out – our proposal (and getting started)”
The starting point for ‘Intelligent Places’ is a vision for a slightly different way of thinking about data in local places.
Continue reading “What is an ‘intelligent place’?”